From e77b1814bf89aea2c8ca1de566316958f7a950bb Mon Sep 17 00:00:00 2001 From: Guillaume Alleon Date: Sun, 14 Feb 2021 13:57:04 +0100 Subject: [PATCH 1/4] Update Chapter_4.ipynb Change pakced in packed --- Chapter_4.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Chapter_4.ipynb b/Chapter_4.ipynb index 2767a00..7241f32 100644 --- a/Chapter_4.ipynb +++ b/Chapter_4.ipynb @@ -2118,7 +2118,7 @@ ], "source": [ "sns.lineplot(x='epoch', y='val Accuracy', data=batch_one_train, label='RNN: Batch=1')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=packed_train, label='RNN:Pakced Input')" + "sns.lineplot(x='epoch', y='val Accuracy', data=packed_train, label='RNN:Packed Input')" ] }, { @@ -2157,7 +2157,7 @@ ], "source": [ "sns.lineplot(x='total time', y='val Accuracy', data=batch_one_train, label='RNN: Batch=1')\n", - "sns.lineplot(x='total time', y='val Accuracy', data=packed_train, label='RNN:Pakced Input')" + "sns.lineplot(x='total time', y='val Accuracy', data=packed_train, label='RNN:Packed Input')" ] }, { From 69163c91c2c41a8cd9ebd82ad9cfd736af994132 Mon Sep 17 00:00:00 2001 From: Guillaume Alleon Date: Sun, 14 Feb 2021 15:09:42 +0100 Subject: [PATCH 2/4] Update Chapter_4.ipynb Cahnge `self.num_driections` by `self.num_directions` --- Chapter_4.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/Chapter_4.ipynb b/Chapter_4.ipynb index 7241f32..b45212f 100644 --- a/Chapter_4.ipynb +++ b/Chapter_4.ipynb @@ -1052,9 +1052,9 @@ " super(LastTimeStep, self).__init__()\n", " self.rnn_layers = rnn_layers\n", " if bidirectional:\n", - " self.num_driections = 2\n", + " self.num_directions = 2\n", " else:\n", - " self.num_driections = 1 \n", + " self.num_directions = 1 \n", " \n", " def forward(self, input):\n", " #Result is either a tupe (out, h_t)\n", @@ -1065,7 +1065,7 @@ " last_step = last_step[0]#then h_t is the first item in the tuple\n", " batch_size = last_step.shape[1] #per docs, shape is: '(num_layers * num_directions, batch, hidden_size)'\n", " #reshaping so that everything is separate \n", - " last_step = last_step.view(self.rnn_layers, self.num_driections, batch_size, -1)\n", + " last_step = last_step.view(self.rnn_layers, self.num_directions, batch_size, -1)\n", " #We want the last layer's results\n", " last_step = last_step[self.rnn_layers-1] \n", " #Re order so batch comes first\n", From eff470aa43075ebc1aef198ab1106b2a1ff858d1 Mon Sep 17 00:00:00 2001 From: Guillaume Alleon Date: Tue, 16 Feb 2021 06:20:38 +0100 Subject: [PATCH 3/4] Created using Colaboratory --- Chapter_6.ipynb | 87788 +++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 82153 insertions(+), 5635 deletions(-) diff --git a/Chapter_6.ipynb b/Chapter_6.ipynb index ff69e04..10797fb 100644 --- a/Chapter_6.ipynb +++ b/Chapter_6.ipynb @@ -1,5836 +1,82354 @@ { - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:16:05.055584Z", - "start_time": "2020-12-28T17:16:03.999949Z" + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "author": "Proof that Batch-Norm does not add representational power", + "celltoolbar": "Tags", + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "import torch\n", - "import torch.nn as nn\n", - "import torch.nn.functional as F\n", - "import torchvision \n", - "from torchvision import transforms\n", - "\n", - "from torch.utils.data import Dataset, DataLoader\n", - "\n", - "from tqdm.autonotebook import tqdm\n", - "\n", - "import numpy as np\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib.pyplot import imshow\n", - "\n", - "import pandas as pd\n", - "\n", - "from sklearn.metrics import accuracy_score\n", - "\n", - "import time\n", - "\n", - "from idlmam import train_network, Flatten, weight_reset, set_seed\n", - "from idlmam import LanguageNameDataset, pad_and_pack, EmbeddingPackable, LastTimeStep, LambdaLayer" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:16:05.060281Z", - "start_time": "2020-12-28T17:16:05.056966Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "from IPython.display import set_matplotlib_formats\n", - "set_matplotlib_formats('png', 'pdf')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:16:05.067384Z", - "start_time": "2020-12-28T17:16:05.061387Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "torch.backends.cudnn.deterministic=True\n", - "set_seed(42)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:16:05.081051Z", - "start_time": "2020-12-28T17:16:05.068670Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:16:05.128191Z", - "start_time": "2020-12-28T17:16:05.090013Z" - } - }, - "outputs": [], - "source": [ - "train_data = torchvision.datasets.FashionMNIST(\"./\", train=True, transform=transforms.ToTensor(), download=True)\n", - "test_data = torchvision.datasets.FashionMNIST(\"./\", train=True, transform=transforms.ToTensor(), download=True)\n", - "\n", - "train_loader = DataLoader(train_data, batch_size=128, shuffle=True)\n", - "test_loader = DataLoader(test_data, batch_size=128)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:16:05.132624Z", - "start_time": "2020-12-28T17:16:05.130257Z" - } - }, - "outputs": [], - "source": [ - "#Whats the width and height of our images?\n", - "W, H = 28, 28 #\n", - "#How many values are in the input? We use this to help determine the size of subsequent layers\n", - "D = 28*28 #28 * 28 images \n", - "#Hidden layer size\n", - "n = 256 \n", - "#How many channels are in the input?\n", - "C = 1\n", - "#how many filters per convolutional layer\n", - "n_filters = 32\n", - "#How many classes are there?\n", - "classes = 10#" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:16:05.141990Z", - "start_time": "2020-12-28T17:16:05.134029Z" - } - }, - "outputs": [], - "source": [ - "fc_model = nn.Sequential(\n", - " nn.Flatten(),\n", - " nn.Linear(D, n), nn.Tanh(), #First hidden layer \n", - " *[nn.Sequential(nn.Linear(n, n),nn.Tanh()) for _ in range(5)], #Now that each remaining layer has the same input/output sizes, we can make them with a list unpacking\n", - " nn.Linear(n, classes),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:16:05.152073Z", - "start_time": "2020-12-28T17:16:05.143146Z" - } - }, - "outputs": [], - "source": [ - "cnn_model = nn.Sequential(\n", - " nn.Conv2d(C, n_filters, 3, padding=1), nn.Tanh(),\n", - " nn.Conv2d(n_filters, n_filters, 3, padding=1), nn.Tanh(),\n", - " nn.Conv2d(n_filters, n_filters, 3, padding=1), nn.Tanh(),\n", - " nn.MaxPool2d((2,2)),\n", - " nn.Conv2d( n_filters, 2*n_filters, 3, padding=1), nn.Tanh(),\n", - " nn.Conv2d(2*n_filters, 2*n_filters, 3, padding=1), nn.Tanh(),\n", - " nn.Conv2d(2*n_filters, 2*n_filters, 3, padding=1), nn.Tanh(),\n", - " nn.MaxPool2d((2,2)),\n", - " nn.Conv2d(2*n_filters, 4*n_filters, 3, padding=1), nn.Tanh(),\n", - " nn.Conv2d(4*n_filters, 4*n_filters, 3, padding=1), nn.Tanh(),\n", - " nn.Flatten(),\n", - " nn.Linear(D*n_filters//4, classes),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:20:50.551389Z", - "start_time": "2020-12-28T17:16:05.153197Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e8fb464cc92d4126bc5f755bb5552b65", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "8ea62fca665943e0b9a7c5d0d50643ce", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "loss_func = nn.CrossEntropyLoss()\n", - "fc_results = train_network(fc_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", - "cnn_results = train_network(cnn_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:20:50.555578Z", - "start_time": "2020-12-28T17:20:50.552542Z" - } - }, - "outputs": [], - "source": [ - "del fc_model\n", - "del cnn_model" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:20:50.798004Z", - "start_time": "2020-12-28T17:20:50.556719Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x='epoch', y='val Accuracy', data=fc_results, label='Fully Connected')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_results, label='CNN')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:20:51.315608Z", - "start_time": "2020-12-28T17:20:50.799334Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "def sigmoid(x):\n", - " return np.exp(activation_input)/(np.exp(activation_input)+1)\n", - "\n", - "activation_input = np.linspace(-5, 5, num=200)\n", - "tanh_activation = np.tanh(activation_input)\n", - "sigmoid_activation = sigmoid(activation_input)\n", - "\n", - "sns.lineplot(x=activation_input, y=tanh_activation, color='red', label=\"tanh(x)\")\n", - "sns.lineplot(x=activation_input, y=sigmoid_activation, color='blue', label=\"$\\sigma(x)$\")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:20:51.572752Z", - "start_time": "2020-12-28T17:20:51.316910Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "def tanh_deriv(x):\n", - " return 1.0 - np.tanh(x)**2\n", - "def sigmoid_derivative(x):\n", - " return sigmoid(x)*(1-sigmoid(x))\n", - "\n", - "tanh_deriv = tanh_deriv(activation_input)\n", - "sigmoid_deriv = sigmoid_derivative(activation_input)\n", - "\n", - "sns.lineplot(x=activation_input, y=tanh_deriv, color='red', label=\"tanh'(x)\")\n", - "sns.lineplot(x=activation_input, y=sigmoid_deriv, color='blue', label=\"$\\sigma'(x)$\")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:20:51.897232Z", - "start_time": "2020-12-28T17:20:51.574036Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "activation_input = np.linspace(-5, 5, num=200)\n", - "relu_activation = np.maximum(0,activation_input)\n", - "leaky_relu_activation = np.maximum(0.3*activation_input,activation_input)\n", - "\n", - "sns.lineplot(x=activation_input, y=tanh_activation, color='red', label=\"tanh(x)\")\n", - "sns.lineplot(x=activation_input, y=sigmoid_activation, color='blue', label=\"$\\sigma(x)$\")\n", - "sns.lineplot(x=activation_input, y=relu_activation, color='green', label=\"ReLU(x)\")\n", - "sns.lineplot(x=activation_input, y=leaky_relu_activation, color='purple', label=\"LeakyReLU(x)\")" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:20:52.221153Z", - "start_time": "2020-12-28T17:20:51.898572Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD4CAYAAAD8Zh1EAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAA7CklEQVR4nO2deXhUVfK/35OEfTcBZFOiIgpIAokgIAgiCqigIG4oo4i4ovMb8es6DjqOIgNuIzMIyqAOCiKKqCwugGIihEDCLggIGgi7QFgCSfr8/qh0SEKWTtLdt7tT7/Pcp7vvPX1vdXL603Xr1KljrLUoiqIowU+Y0wYoiqIo3kEFXVEUJURQQVcURQkRVNAVRVFCBBV0RVGUECHCqQtHRUXZli1bOnV5RVGUoGTlypX7rbUNizrmmKC3bNmS5ORkpy6vKIoSlBhjdhR3TEMuiqIoIYIKuqIoSoiggq4oihIiOBZDL4qsrCzS0tLIzMx02hSlGKpXr07z5s2pUqWK06YoilKIgBL0tLQ06tSpQ8uWLTHGOG2OUghrLQcOHCAtLY3o6GinzVEUpRClhlyMMVONMXuNMeuKOW6MMW8aY7YYY9YYYzqW15jMzEwiIyNVzAMUYwyRkZF6B6UoAYonMfRpQN8SjvcDWuVuI4H/VMQgFfPARv8/ihK4lBpysdb+YIxpWUKTgcD7VurwLjPG1DfGNLHWpnvLSEXxG0uWkJaSytTFW8ipdxboD5jiA9pe2Zab77rZ6+f1Rgy9GfB7vtdpufvOEHRjzEjEi+ecc87xwqUVxUscPAgPPAAff8xnLTpgfx9IGGDR9QIU77M2a23ACnpRLkyR3wJr7WRgMkB8fHzAfVMOHTrEhx9+yIMPPliu9/fs2ZPx48cTHx9fYP+SJUuYNm0a06ZNA2DOnDmsWbOG5557rthzjR49mv79+3PllVeWyxalDGRnw003wY8/wosvkr3Xwps53N5sMq3CI2DVKoiMdNpKRSkVb+ShpwEt8r1uDuzywnn9zqFDh/j3v//t8+uMGzeu1B+NUaNGMXbsWJ/bogDPPguLF8OUKfDMM9jqNQEIm/gf2L0bhg4Fl8thIxWldLzhoc8FHjbGzAA6A4e9Ej//858hNbXCpylAbCy8/nqxh5988km2bt1KbGwsvXr1Ys2aNfzxxx9kZWXx4osvMnDgQLZv306/fv24/PLLSUxMpFmzZnz++efUqFEDgFmzZvHggw9y6NAh3n33Xbp3707VqlWpV68eAJs3b6ZatWpERUUBMHDgQAYPHsywYcN4++23+eGHH5g+fTrnnnsuBw4cYPfu3Zx99tne/Tsop1m7FsaNgxEj4E9/AsDmyM1jeEx7eOMNCcV8+CHccYeTlipKqZQq6MaYj4CeQJQxJg34G1AFwFo7CZgH9Ae2AMeBu31lrK8ZO3Ys69atIzU1lezsbI4fP07dunXZv38/l112GQMGDADgl19+4aOPPmLKlCncfPPNzJ49mztyv+zZ2dkkJSUxb948nn/+eb799lu6du1K165dAUhISKBjx9OZnZMnT6Zbt25ER0czYcIEli1blnesY8eOJCQkMHjwYD/+FSoZzz4LdevCK6/k7XLliDceHhEOI0fC22/Dc8/BzTdD1apOWaoopeJJlsttpRy3wENes8hNCZ60P7DW8vTTT/PDDz8QFhbGzp072bNnDwDR0dHExsYCEBcXx/bt2/PeN2jQoCL3u0lPT6dhw9OVLxs3bswLL7xAr169+OyzzzjrrLPyjjVq1Ihdu4IyehUcLFsGc+fCiy9Cvr+720OPiIiAsDB46SXo3x/eeQfKOb6iKP5Aa7kUw/Tp09m3bx8rV64kNTWVxo0b502oqVatWl678PBwsrOz8167jxXe76ZGjRpnTMxZu3YtkZGRZ4h3ZmZmXihH8QHjx4uQP/pogd3WlRtyiQiXHX37QteuMGGCxtKVgEYFPR916tQhIyMDgMOHD9OoUSOqVKnC4sWL2bGj2BLEZeLiiy9my5Ytea+TkpKYP38+KSkpjB8/nl9//TXv2ObNm2nXrp1XrqsUIj0d5syB4cOhdu0Ch/JCLuG5gm4MPPwwbNsG337rZ0MVxXNU0PMRGRlJt27daNeuHampqSQnJxMfH8/06dO56KKLvHKNHj16kJKSgrWWkydPcu+99zJ16lSaNm3KhAkTGD58ONZasrKy2LJlyxkpkIqXmDoVcnIkRl6IMzx0gEGDICpK4umKEqAEVHGuQODDDz8stc26dafL2owePTrv+ZIlS/KeR0VFFRlDr1mzJldddRXfffcdV111FatXr847NmDAgLyB1y+//JKbbrpJ4riKd3G5YPJk6N0bWrU643Belkt+Qa9WDe6+G159FXbtgqZN/WWtoniMeugO8PTTT3P8+PES22RnZ/PYY4/5yaJKRkIC/PabhFuKIE/Qw8MLHrjnHvHqZ83ytYWKUi5U0B2gcePGeZ54cQwZMoT69ev7x6DKxqxZ4nFff32Rh22OxWVchIcVEvTWraF9exV0JWBRQVcqFy4XfPKJpCHWqVNkE+uyWGMJM0V8PYYMEQ8/Lc3HhipK2VFBVyoXCQmS4TJkSLFNShV0gNmzfWSgopQfFXSlcjF7toRbrruu2CY2x+IKcxUt6O6wiwq6EoCooCuVi3nz4Moriw23gAi6Nbb4xTwGDIDERPjjDx8ZqSjlQwW9DHz22WdOm6BUhF9+ka1//xKbWZd46MXSr59ku3zzjZcNVJSKoYLuIVu3buXbfLMET5w4wRVXXEFOTk6R7U+dOkWPHj2KnP6vOMT8+fLYr1/J7XLAhpVQrr9zZykZMG+e92xTFC+ggu4hCxcuZNSoUXmvp06dyqBBg87MVc6latWq9O7dm5kzZ/rLRKU05s+HCy+E888vsZk75FIs4eFw9dWwYIHWdlECioCdhuhAOfQ8Vq9ezahRo9i/fz8///wz1lrOPvvsAotSTJ8+PW9Waa9evXj66afp06cPzz77LEeOHOHNN9/khhtu4KmnnmLo0KHe/SBK2Tl+XBaxeOCBUpu6s1xKpH9/mDEDUlIgLs5LRipKxQhYQXeKzMxMbrnlFt5//306derEX//6VzIzMxk3blxem1OnTrFt2zZatmwJwPPPP89zzz3H3r17SUlJYe7cuQC0a9eOFStWOPExlMIkJMDJk+JZl4J12ZJDLnD6PN9+q4KuBAwBK+hOlUP/9ttv6dixI506dQKgffv2LFiwoEDGw/79+wvM4uzRowfWWl599VWWLFmSF4YJDw+natWqZGRkUKeErArFDyxaBBER0L176W1Li6EDNG4MbdvKeZ94wjs2KkoF0Rh6IdatW8cll1yS93rVqlUFVhiCM2uar127lvT0dKpVq3aGcJ88eZLq1av71mildBYtgk6dziiVWxTWJVP/S+XKK2HpUjh1ygsGKkrFUUEvRGRkJGvWrAGkHvmnn37KrbfeWqBNgwYNyMnJITMzk/T0dIYOHcrnn39OrVq1WLhwYV67AwcO0LBhQ6pUqeLXz6AU4vBhSE4WAfYETzx0kPOdOAHLl1fMPkXxEirohbjttts4evQo7dq1Y+TIkXz00UdERkae0e7qq6/m66+/ZtCgQUyYMIGLL76Yv/71r4wZMyavzeLFi+lfSs6z4gd++EGyUTwUdGs9iKEDXHGFLH6xaFEFDVQU7xCwMXSnqF27Nl988UWp7R5++GFeffVVfvrpp7x9PXr0KPD6ww8/5OWXX/aJnUoZWLxYpvt36eJZ+xygmEmiBWjQADp2FEH/298qYqGieAX10MtJhw4d6NWrV4kTi2644QZat27tZ8uUM1i6VCYDeTqW4fIw5ALQowckJWkcXQkIVNArwPDhw0ucWDRs2DA/W6ScwbFjkiverZvHb7E5HoZcQM6bmSnXUBSHUUFXQpsVK6TuSteunr+nLB66+7wJCWW3TVG8jAq6EtokJsqjp/FzEEEvbaaomyZNIDr69HUUxUFU0JXQJiEBLroIishUKhYXZftmdO0q17Ee/ggoio9QQVdCF5cLfvqpTPFz8HDqf366dYPdu2H79rLZpyheRgVdCV1+/lkWoShL/BzK56GDxtEVx1FBV0IXd1y7jB46OWWIoQO0aycrIGkcXXEYFfRChIeHExsbS7t27bj++us5dOhQie3HjBnD+PHjC+y76667+OSTTwrsq51bQ2T79u307Nkzb39KSgojRowo8RpvvfUW//3vfz3/EIqQkCCx8wsvLNv7yuqhh4fDZZeph644jgp6IWrUqEFqairr1q3jrLPOYuLEiT693ksvvVRg4YyiGD58OG+++aZP7QhJEhMlHFLc2qDFUZa0RTfdusHatXDkSNnepyheJGCn/v95wZ9J3Z3q1XPGnh3L631f97h9ly5d8gp1bd26lYceeoh9+/ZRs2ZNpkyZwkUXXVRmG8LDwznrrLMAyMjIYM2aNcTExADwyCOPEBUVxXPPPcfChQv5xz/+wZIlS6hZsyYtW7YkKSkpr6yvUgr79sHmzTB8eNnf6wLKWk+tWzfJclm2zKOa64riCzzy0I0xfY0xm4wxW4wxTxZxvJ4x5gtjzGpjzHpjzN3eN9W/5OTk8N133zFgwAAARo4cyb/+9S9WrlzJ+PHjC6xeVBZatGjBp59+CkBycjLt2rXLOzZ27FhmzpzJ4sWLeeSRR/jvf/9LWJj8i+Lj41m6dGkFP1Ulwl1Tp6wDolD2kAtIaYGwMI2jK45SqodujAkHJgJ9gDRghTFmrrV2Q75mDwEbrLXXG2MaApuMMdOtteUucFEWT9qbnDhxgtjYWLZv305cXBx9+vTh6NGjJCYmMmTIkLx2J0+eLPYcpohb/KL2paen07Bhw7zXbs+/R48evPbaa5yfb+3LRo0a8fPPP5f3Y1U+EhKgShWIjy/zW43LlD3kUqcOtG+vcXTFUTzxQzoBW6y123IFegYwsFAbC9Qxolq1gYNAUC53746h79ixg1OnTjFx4kRcLhf169cnNTU1b9u4cWOx54iMjOSPP/7Ie33w4EGioqKKvFb+hTJAFsuIjIxk165dBfZnZmZSo0aNCn66SsSyZdChA5Tnb1YeDx1kNury5bpwtOIYnnTbZsDv+V6n5e7Lz1vAxcAuYC3wqLX2jF5tjBlpjEk2xiTv27evnCb7h3r16vHmm28yfvx4atSoQXR0NLNmzQKkXvbq1auLfW/Pnj2ZOXMmp3Ir8E2bNo1evXqd0e7iiy9my5Ytea937NjBhAkTSElJYf78+SzPt3DC5s2bC4RnlBLIyYFVq+DSS8v3/vIKeqdOkJEBmzaV77qKUkE86bZFpQgUvh+9BkgFmgKxwFvGmLpnvMnaydbaeGttfP5QQ6DSoUMHYmJimDFjBtOnT+fdd98lJiaGtm3b8vnnn+e1e/HFF2nevHnedt1119G9e3fi4uKIjY0lISGBV1555YzzX3TRRRw+fJiMjAystdxzzz2MHz+epk2b8u677zJixIg8Dz4hIYGrrrrKb589qNm8GY4eLVe4BShflguc/gHRhcEVp7DWlrgBXYCF+V4/BTxVqM1XQPd8rxcBnUo6b1xcnC3Mhg0bztgX6rz66qt2ypQpJbZZtWqVveOOO/xkUekE/P/p/fetBWvXri3X259o/IQd2Wlk2d+YnW1trVrWPvxwua6rKJ4AJNtidNUTD30F0MoYE22MqQrcCswt1OY3oDeAMaYx0BrYVsHfmkrBAw88QLVq1Upss3//fv7+97/7yaIQIDkZataUolzloFyDoiATjOLj1UNXHKPULBdrbbYx5mFgIRAOTLXWrjfG3J97fBLwd2CaMWYtEqJ5wlq734d2hwzVq1fnzjvvLLFNnz59/GRNiJCcLAOiEeWcZlHeGDpI2OXNN2UFo6pVy3kSRSkfHvV4a+08YF6hfZPyPd8F6GwKxXmys2X1oPvuK/cpjMtUTNBPnZJZo3Fx5bZBUcqDTv1XQouNG+HEifIPiIJ46EWvLFg6OjCqOIgKuhJauIW0AoJeIQ+9ZUuIilJBVxxBBb0Q7qqIFaGoCozFsX37dmrUqEFsbCxt2rRh2LBhZGVllfieoqo59uzZk+Tk5ALndeetL1myhLvuuivv2Jw5c3jhhRdKvMbo0aNZtGiRR58hoEhOllmbrVqV/xwWTFgZC3q5MUa89KSk8l9fUcqJCnoAcP7555OamsratWtJS0vj448/9un1xo0bV2otmlGjRjF27Fif2uETkpMldh1W/q5dIQ8dRNA3bIBjxypwEkUpOyroHrB161b69u1LXFwc3bt3z6up8sUXX9C5c2c6dOjAVVddxZ49e85475QpU+jXrx+PP/44b7zxRt7+Z5555oySuOHh4XTq1ImdO3cCsHLlSq644gri4uK45pprSE9PL5f9VatWpV69eoDMOK1WrVpeKYKBAwfy/vvvA/D2228zdOhQAM4991wOHDjA7t27y3VNRzh1Clavrlj8HC8IeqdOMv1/1aoK2aEoZSVgy+cu+PMCdqd6V0zOjj2bvq/3LfP7Ro4cyaRJk2jVqhXLly/nwQcfZNGiRVx++eUsW7YMYwzvvPMO48aNY8KECXnve+utt/j666+ZM2cO6enpDBo0iEcffRSXy8WMGTNISkoiIyMjr31mZibLly/njTfeICsri1GjRvH555/TsGFDZs6cyTPPPMPUqVPLbH/Xrl3pmlt1MCEhgY4dO+Ydmzx5Mt26dSM6OpoJEyawbNmyvGMdO3YkISGBwYMHl/majrBunYh6BQW9QoOicHpgNCkJunevmC2KUgYCVtADhZIqLaalpXHLLbeQnp7OqVOniI6OzmvzwQcf0Lx5c+bMmUOVKlVo2bIlkZGRpKSksGfPHjp06EBkZCQZGRls3bqV2NhYfvnlF2666Sbat2/PunXrWLduXV4Oek5ODk2aNCnWzvJWeGzcuDEvvPACvXr14rPPPsur1Q5S4bFwkbCAxj2GUN4aLrlU2ENv1AjOOUcHRhW/E7CCXh5P2hfkr7RYmFGjRvGXv/yFAQMGsGTJEsaMGZN3rF27dqSmppKWlpYn9CNGjGDatGns3r2b4fkWXnDH0NPT0+nZsydz584lOjqatm3b8pO7rncplKXC4+HDhwvsC5kKj8nJ0KAB5PthLQ/GmiJ/DMvEpZeqoCt+R2PopVC3bt1iKy0ePnyYZs2k8OR7771X4H0dOnTg7bffZsCAAXlCeeONN7JgwQJWrFjBNddcc8a1mjRpwtixY3n55Zdp3bo1+/btyxP0rKws1q9fX6ydPXv25H//+5+7lg7vvfeeRxUek5KSmD9/PikpKYwfP55ff/0171jQVXhMTpZwSwXF2LhMxUIuIIK+bRscPFjBEymK56igF+L48eMFKie++uqrxVZaHDNmDEOGDKF79+5FesOXX34548eP59prr2X//v1UrVqVXr16cfPNNxMeXrRi3HDDDRw/fpzly5fzySef8MQTTxATE0NsbCyJ+VbDue+++/Js7NKlCyNHjqROnTrExMQQExPD0aNHGT169Bnn79GjBykpKVhrOXnyJPfeey9Tp06ladOmTJgwgeHDh2OtJSsriy1bthBf0Xi0v8jMlNmZFbTXWouxFQy5wGk7Vq6s4IkUpQwUV7XL11tlrLaYk5NjY2Ji7ObNmx2145FHHrHffPNNiW0+/fRT++yzzxZ5LCD/T8uWSYXF2bMrdJqc7Bw7hjH2/iH3V8yegwfFnpdeqth5FKUQVLDaouIFNmzYwAUXXEDv3r1pVZFJL17g6aef5vjx4yW2yc7O5rHHHvOTRV7APSBaUQ89J7fKYkW/GQ0awAUXnLZLUfxAwA6Khhpt2rRh27bAqCjcuHHjvMWviyN/Vk9QkJwMDRtCixYVOo0rRxbaMuEVHBQF+XHRRaMVPxJwHrq15ahDrfiNgP3/JCfLQGQFB0Sty0seOoig//Yb7N3rhZMpSukElKBXr16dAwcOBK5oVHKstRw4cIDq1as7bUpBjh2TqfZeGMB1h1zKXcslPzowqviZgAq5NG/enLS0NAJ9AenKTPXq1WnevLnTZhQkNVWm2ntB0L0acunQQe4YVq6Efv0qfj5FKYWAEvQqVaoUmG2pKB7hHnj0woISXhsUBahbF1q31oFRxW8EVMhFUcrFihXQtKlsFcSrHjrIj4wKuuInVNCV4Mc9Q9QL5MXQvSXo8fGwcyeUs1KmopQFFXQluDlyBDZtqnBBLjfuLBevDIqCDowqfkUFXQlu3DXHveSh54VcvCXosbGy2IaGXRQ/oIKuBDdeHBAFH4RcateGiy9WQVf8ggq6EtwkJ8O558osUS/g9UFRkLuH5GTQ+RWKj1FBV4IbLw6IgpcnFrmJj4c9e2RwVFF8iAq6ErwcPAhbt3pV0H3moYOGXRSfo4KuBC/uzBFveujeznIBiImB8HAVdMXnqKArwYuXB0TBB4OiADVqQLt2mrqo+BwVdCV4SU6WmuMNGnjtlD4JucDpGaM6MKr4EBV0JXjx8oAonPbQw8K9/NWIj4f9+6WcrqL4CBV0JTjZu1fE0cuC7jMPXQdGFT/gkaAbY/oaYzYZY7YYY54spk1PY0yqMWa9MeZ775qpKIXwwYAo5BsU9bagt28PVaqooCs+pdTyucaYcGAi0AdIA1YYY+Zaazfka1Mf+DfQ11r7mzGmkY/sVRQhOVlqjXfo4NXT5oVcwrx881qtGlxyiQq64lM86bWdgC3W2m3W2lPADGBgoTa3A59aa38DsNbqmluKb1mxQmqN163r1dP6LOQCOmNU8TmeCHoz4Pd8r9Ny9+XnQqCBMWaJMWalMWZYUScyxow0xiQbY5J1VSKlQrjXEPUyrmwRdK8PioII+qFDECCLhSuhhye9tihXpbCLEQHEAdcC1wB/NcZceMabrJ1srY231sY39FLtDaUSsmuX1Bf3cvwc/OChg4ZdFJ/hiaCnAS3yvW4O7CqizQJr7TFr7X7gByDGOyYqSiHcgugDQc/JzgF85KG3bSuxdBV0xUd40mtXAK2MMdHGmKrArcDcQm0+B7obYyKMMTWBzsBG75qqKLkkJ0uN8dhYr586J0cE3atT/91UrSplAFTQFR9RqqBba7OBh4GFiEh/bK1db4y53xhzf26bjcACYA2QBLxjrV3nO7OVSk1ysni7NWt6/dTukItPPHSQGaOrVoHL5ZvzK5WaUtMWAay184B5hfZNKvT6n8A/vWeaohSBtZLhcv31Pjm9T0MuIGGi//wHtmyBC88YZlKUCqEzRZXgYvt2mULfqZNPTu8OuYRF+FDQQcMuik9QQVeCi6QkefSRoLvTFn2S5QLQpg1Ur66CrvgEFXQluEhKOj3r0gf4POQSESGzW1XQFR+ggq4EF0lJ0LGj1EXxAa7cwUqvT/3PT3y8DIzmhncUxVuooCvBQ3a2FOXyUbgF8nnovoqhgwj6sWOwaZPvrqFUSlTQleBh/Xo4ccKngu7ztEXQgVHFZ6igK8GDjwdEwQ8xdJCiYrVqSfqlongRFXQleEhKkuXmzj/fZ5fwi4ceHi5e+vLlvruGUilRQVeCh6Qk8c6Nj1IKySfovoyhA1x2GaSmQmamb6+jVCpU0JXg4NgxWLfOp+EWyCfovsxyARH0rCxISfHtdZRKhQq6Ehy465/4WNDdM0XDI8J9eh06d5bHZct8ex2lUqGCrgQH7gFRHyxqkR+fLnCRnyZN4JxzNI6ueBUVdCU4SEqCc8+Fxo19ehm/DIq6uewy9dAVr6KCrgQHSUk+987Bj4OiIGGXHTtg927fX0upFKigK4FPerpUWezSxeeXcgt6eLiPY+ggHjpo2EXxGiroSuDz00/y2LWrzy/l15BLhw5Sk0bDLoqXUEFXAp/ERKmw2KGDzy/lVw+9Rg1ZRk8FXfESKuhK4JOYKDMrq1Xz+aVcOS5cxkWY8dNXo3NnKQGglRcVL6CCrgQ2J09KhUU/hFsgV9DDXBh8Nxu1AJddJpOm1q/3z/WUkEYFXQlsVq2CU6f8Jug222KN9Z+H7h4Y1bCL4gVU0JXAJjFRHv2Q4QKywIVfBf288yAqSgVd8Qoq6Epgk5go1RV9PKHIjTvk4jdBN0buPn780T/XU0IaFXQlcLFWBN1P4RYAm+PnkAtA9+7wyy+wZ4//rqmEJCroSuCyfbvMovSjoPvdQwe4/HJ5VC9dqSAq6Erg4o6f+1nQ/e6hd+woOekq6EoFUUFXApfERKhTB9q29dslbY71v4detarkoy9d6r9rKiGJCroSuPz0kwidP2Zt5mJdDsTQQeLoKSmQkeHf6yohhQq6EpgcOQKrV/s13AIOhVxA4ugul6YvKhVCBV0JTH78UQTuiiv8ellHQi4gE4zCwjTsolQIFXQlMPn+e4ktu2dS+gnHPPS6daVQlw6MKhVABV0JTJYskfVDa9b062Ud89BBwi7LlkmpA0UpBx71WmNMX2PMJmPMFmPMkyW0u9QYk2OMucl7JiqVjowMKcjVs6ffL+3IxCI33bvDiRMyOKoo5aDUXmuMCQcmAv2ANsBtxpg2xbR7BVjobSOVSkZCgpST9XP8HBzMcoHTE4w0jq6UE096bSdgi7V2m7X2FDADGFhEu1HAbGCvF+1TKiNLlshKPn4qyJUfR2aKujn7bLjgAvjhB/9fWwkJPOm1zYDf871Oy92XhzGmGXAjMKmkExljRhpjko0xyfv27SurrUpl4fvvZUHoWrX8fmlHQy4AvXrJ58/Odub6SlDjSa8tqtK/LfT6deAJa22Jy65Yaydba+OttfENGzb00ESlUnH0qKzg40D8HCTk4piHDtC7t+Tgr1zpzPWVoCbCgzZpQIt8r5sDuwq1iQdmGGMAooD+xphsa+0cbxipVCISEx2Ln0MAeOhXXimP330ns2QVpQx40mtXAK2MMdHGmKrArcDc/A2stdHW2pbW2pbAJ8CDKuZKuViyBCIi/D5D1I3jHnrDhtC+vQi6opSRUnuttTYbeBjJXtkIfGytXW+Mud8Yc7+vDVQqGd9/LwtC167tyOUd99BBwi4JCZLCqChlwKNea62dZ6290Fp7vrX2H7n7JllrzxgEtdbeZa39xNuGKpWAo0chKcmxcAsEkKCfPHm6fLCieIjOFFUChyVLJLujTx/HTHA85ALQo4eEnTTsopQRFXQlcFi4UKb6uyfYOEEOznvodepI2QMVdKWMqKArgcOCBZKuWK2aYyY4WsslP717Q3IyHDrkrB1KUKGCrgQG27bBli1wzTWOmmFtAMTQQQTd5ZJBYkXxEBV0JTBYmFsCqG9fZ+0IhJALSNngGjU07KKUCRV0JTBYuBBatoRWrRw1I2BCLtWqyeDo1187a4cSVKigK86TlQWLFkm4xRRVacJ/OFptsTD9+8OmTRKKUhQPCIBeq1R6fvpJaqA7HD8HIIfA8NABrr1WHr/6ylk7lKAhAHqtUulZuBDCw0/XMXGQgPLQzz8fLrpIBV3xmADotUqlZ+FCqX1er57TloArQAZF3Vx3nUy4yshw2hIlCAiQXqtUWvbsgVWrAiPcQoDMFM3PddfJGMO33zptiRIEBEivVSotX3wB1sL11zttiRAoaYtuunaVO5cvv3TaEiUI8KQeekBx6ugpju456rQZirf43zxo3h5qNYetB522BpsdYB56lSqSm//VVzLRKCxA7FICkqAT9F/m/8InN2sxx9AhRrZWbzltSB5ZVbICR9BBsl1mzpTQVHy809YoAUzQCXqzTs244f0bnDZD8QbLlsO/J8Izz0Dr1k5bA8BXm7/ix8wfA0vQ+/WT/Pwvv1RBV0ok6AS9/rn1qX9nfafNULzBvLHQMB2eHyxpiwHAvKXzOLboWGAJelSUZAF98QWMGeO0NUoAE0C9VqlUnDwpceGBAwNGzAFc1gUQWIIOMGiQhFy2bnXaEiWACbBeq1QaFi2S3Oobb3TakgIErKAPGSKPH3/srB1KQBNgvVapNHz2mawbGgCzQ/MTsIJ+zjkSdlFBV0ogwHqtUinIyYHPP5fiU9WrO21NAdyCbhwuElYkN98MqamwebPTligBigq64n+WLoW9ewMu3AIi6AHnnbtxh11mznTWDiVgCdCeq4Q0H3wg4ZYBA5y25AwCWtCbNZP1VjXsohRDgPZcJWQ5cQI++QQGD5YFoQOA7GzYuVOiGWm7XBgbxo8/wpo18NtvcDSQJibfcgusWwcbNjhtiRKABF0euhLkfPEFHDkCd97p90tbC+vXw7JlItZr1sj6EXv2yDEArnJB5zC6dy/43oYN4YILZEGlSy+VFeLat4eqVf38IQYPhkceES9dc9KVQhib15P9S3x8vE1OTnbk2oqDXH89pKTAjh1+yT8/eBDmzoX582HxYti3T/bXrg2XXAIXXwzNm0PTpiLa0/c+zlf7/s3czsc4cgQOH4b9+2UN619+gY0bYfduOUf16tCrl8zM798foqN9/nGEXr1g1y74+WfHV3hS/I8xZqW1tsgpw+qhK/5j3z5YsAD+8hefivmxYzBrFnz0kaS7Z2eLYF9zjWRJdu8O551XdJ2rhIUuqvwRxtVXF31uayEtTbz8H3+EefPg4Yfl2KWXwh13wK23QqNGPvt4MGwYDB8OiYnQrZsPL6QEGxpDV/zHjBmirj4Kt6SkwP33Q5MmcPfdshTnY49BUpKI8AcfyP4LLii+aGFpg6LGQIsWknDyxhvitW/eDP/8p3y0Rx+VH4/Bg+XHxCc3wEOGQJ068M47Pji5EsyooCv+44MPIDYW2rXz2ildLqlZ1asXdOwI778v2ZA//CCCPnaseM6eRibKk+XSqhWMHi0z89etkxuQ77+H3r2hbVt49104daocH644ateG226TOPrhw148sRLsqKAr/uHnn2HFCq955y6XhFUuuUTC8lu2wLhxElp+7z0Jq5QnvFzRtMW2bcWOtDSYNk3i7CNGiOj/+9+QmVnuUxdkxAg4flzuehQlFxV0xT9MniyLNQwdWqHTWCtVA2JjZeKkywX/+58MWj7+ONSvXzEzXdaFoeIDjdWrw5/+BCtXyoBs8+bw0EMycPrqq14Q9vh4SbPRsIuSD48E3RjT1xizyRizxRjzZBHHhxpj1uRuicaYGO+bqgQtJ06IuzpoEDRuXO7TfP01xMXJaU6ehOnTJcQxdKj8VngDb08sMkYWHPrxR8myadNG4vqtW8sPkctVgROPGAHJyZJAryh4IOjGmHBgItAPaAPcZoxpU6jZr8AV1tr2wN+Byd42VAliZs2CP/6QEctysGGDpAVecw0cOiQhlfXr4fbbvZ8s46uZosZAz57w3XeyRUVJ9Ck+vgLrP99xB1Srpl66kocnPbcTsMVau81aewqYAQzM38Bam2it/SP35TKguXfNVIIWa2HiRHFJr7iiTG/dt0/CFO3bS4be+PGSBz5sGET4KOHWH1P/r7xShhM+/FB+5/r0kVz2LVvKeKIGDeCmm8TVz8jwia1KcOFJz20G/J7vdVruvuK4B5hf1AFjzEhjTLIxJnmfe4aHEtosWyZ5g4884vEoZU6ODCC2agVvvy2O/S+/SKiiWjXfmuuvWi5hYZKo8vPP8kO1dKkMqD77rOTRe8yjj0qmi3rpCp4JelHfwiKza40xvRBBf6Ko49baydbaeGttfMOGDT23UgleXntNRiqHDfOoeVISdO4snnlcnEzPf+stmcXpD1z4tzhXtWryQ7Vpk5Rp+cc/ZPbq7Nke5rBfeqnc+bz2GmRl+dxeJbDxpOemAS3yvW4O7CrcyBjTHngHGGitPeAd85SgZscOUaZ775Xc6RI4eBAeeEBqpOzaJbM8v/1WBhH9iVPVFps0kRz6pUtPR1Kuvlo8+FJ5/HH4/Xetwqh4JOgrgFbGmGhjTFXgVmBu/gbGmHOAT4E7rbVafV8RJkyQ2MKoUcU2cbkkAaZ1a8lsfPRREbFbb3WmTInT5XMvv1xSHd96SxJY2reHp5+WlPNi6ddPfvnGjfPR1FQlWCi151prs4GHgYXARuBja+16Y8z9xhh32sJzQCTwb2NMqjFGq25VdvbuhSlTJJWjRYsim6xdK9GCu++WePnKlRI5qFvXz7bmw2lBBxnwfeghCcPcfju8/LLo9dy5xbwhLEymqq5ZA99841dblcDCo55rrZ1nrb3QWnu+tfYfufsmWWsn5T4fYa1tYK2Nzd2KrASmVCJef12SxZ84czjl2DHZ3bGjZK28+67kacfG+t3KMwgEQXfTqJHcvXz/vUSsBg6UNUG2by+i8e23S9zmn//0s5VKIBEYPVcJLfbvh3/9SwLBrVsXOPTll6enx//pT+KFDh9efLEsfxNIgu6mRw8pPPbPf0rBrzZt4KWXCtWHqVYN/t//k4GHpUsds1VxlsDquUpoMG6cuOH5FmBIS5MZntdfD7VqSfGsd96ByEjnzCyKQBR0kJmwo0fLHU2/fvDMMxATIwKfx0MPSanHJ57QWHolJfB6rhLcpKfLiN4dd0CbNmRnS/Tl4oulFPrLL4u3WXhFoEAhUAXdTYsWkjj01VfioffuLaUP0tORJf3GjIGffioh4K6EMoHbc5Xg5G9/k8Lgf/sbSUnQqZNEArp3l+n6Tz7pwLJtZSDQBd1N//5Sx+a552SJ1osukihXzrC7Jcz11FPyf1AqFYHfc5XgYc0aePddDt87modfO5/LLpP1OmfNEo/Sb0u0VYBgEXSAGjXg+edF2Dt3lsm4l3aJYPndkyQ28957Tpuo+Jng6LlK4GMt9i+PMb3GCC6a/SL/+Y+kn2/cKGOjwbL0ZTAJuptWrWDhQplXtGcPdHnqCu5v9CkHn30Vjh512jzFjwRXz1UClpRXvqb7d3/jjmNv07xFGElJskSbkznl5SEYBR3kB3PIEPkB/fOfDe8cuIHWu5cwbdBcHR+tRARfz1UCigMH4IF7ThH3VB82R7Thnckuli+XOizBSLAKupu6dWUBjZUrDa0aZ3D3N7fTo0MGa9c6bZniD4K35yqOkp19uiLilP+G8wj/YvOCX7nn3rCAySkvD8Eu6G5iYuDHn6N4t/5jbFyXTYcOltGjtcpuqBP8PVfxK9bK5KCYGEl7jj33IKk2htf/8hv1ewepW56PUBF0gLD6dRn+3hVsyrmAuzukMmHC6ZLEmgATmoRGz1X8wooV0KuXTA7KyoLZ7x/juwMdaHdhFrz4otPmeYVQEnQABgwg8qYrmbK2C8s++IVWraS+/CWXwOef6/yjUCOEeq7iK7Ztk8UYOnWS5eAmToT16yyD5t6FSd8FH3wgOXQhQMgJOsg/7Kyz6PzCtfzw5RHmzBEhv+EGKSuwbJnTBireIsR6ruJN0tLg4Ydl0srcufDXv8LWrfDgg1Dl3Ukyo+Uf/xClDxFCUtAbNYKZM2HbNsyIexg4wLJuHUyaJCtBdekiZRlWr3baUKWihFjPVbzB77+LaJ9/vsRb775bvvgvvAB16gAJCVK4vH9/KTASQoSkoINM1X3pJfkR/te/iIiA++6TdUyff15qwsTGirCnpjptrFJeQrDnKuXlt99k1aDzz5fCWXffLV/4t9+Wmk+AxF8GD4Zzz4Xp0wOnTKKXCFlBB/nxHTBAHnOretWuLeUDtm+XMjCLFkGHDhKOWbXKSWOV8hCiPVcpCxs2wIgRcMEFUpv8nntEyCdNEt3OY88eWRctK0tiMPXrO2WyzwhpQQ8Lk3IArVtLcfWVK/MO1a8vZXi2bxeP/fvvZS7B9dfLcx08DQ5CtOcqpWGteGPXXiv1yadPl6U/t2yB//wHzjmn0BsOH4a+faWs31dfSfnEECSkBR1EuRcskLrF/fpJLK3QYbfH/ve/y4Bpz56yFvWMGZruGOiEcM9ViuL4cZg6Vbyv3r0lFfH55yXcMnFiEUIOUg9k4ECpAjV7tqzkHKJYa0Nb0AGaNYOvv5Zf9auvlsW8C1GvHjz7rPSLSZNkQtJtt0k47pVXYN8+B+xWSiXEe67iZuNGGcds2lRCKidPypKfv/0mHlnDhsW8cf9+Uf6lS2VZ+r59/Wq3vwl5D93NhRfC/Pnwxx/QrZvUNi6CGjVk8HTjRomynXeelEBu3lzqsP/4o4ZjAolK0HMrLxkZ8N//yi1zmzYSSunXT2Ki69ZJ3Lx69RJOsGOHLEO/Zg189pm4aCFOpRF0gPh4+aF2uSQLJjGx2KZhYRJPX7xYtP+++2TGcPfuMklp/PjcRTYUR6kkPbfykJMjC7/fcQc0bizrde7aJRlrv/8OH30kk0lKLWebmAhdu8Lu3XJ7PmCAX+x3mkol6CBqnJgIUVFw1VXw4YelvqVNG3jzTelXU6ZIpszjj4vX3q+fxNpPnPCD7coZVKKeG7pkZYnm3nefhFSuvlrGLYcNk+/qpk2ygE3jxh6czFqYMAGuuEIWHl66NHDXi/MBlU7QAVq2lLkFcXESR7nvPsjMLPVttWrJXd6yZRKSefJJ8d5vu01CeLfcIjXatSS7H7HWOrLFxcVZpfycOGHtl19ae9dd1jZoYC1YW6uWtbfcYu2sWXK8zKSnWztggJzsxhut/eMPb5sd8LSd2NYOnjnYaTOcISvL2ieekP9/TIy169aV+RQ5OdZ+9521991nbaNGcqrq1a294QZrP/igUnYprwMk22J0NcLpHxTFM6wVT3vhQtmWLJHb2nr1JBoyeLB45uUqqeJyyUyiJ56QNJjXXpMR1GBZZsiLVEoP3U1EBIwdK+Mmd90lU0f/7/8k3cXDjhUWBldeKdvEieL4f/IJfPopzJkD4eGSJHXNNbLFxck+xTsY69AQdXx8vE1OTnbk2sFCerpEPL77TkTcnV124YWSbNKvn3xxKrTo8k8/yczBxEQZPZ00SSaeVFIueusiYs+OZcZNM5w2xVn275fA+LRpktoybpzUBSjnj7zLBUlJEgpcuBCSk8VJiYyEPn1k695dJrdVQj+iTBhjVlpr44s8poIeGFgrczyWLj29bdsmx+rUkczBvn3Fq2nZ0gsXXLVKqm3NmyfFm8aNk6B7Jf82XfivC4lvGs+Hg0sfHKwULF4she83bpSaAH//u9TwqWA/2b9fBu8XLBCB37NH9jduLDcI3bvLFhOjHnxhShJ0Dbk4gLXiba9cWXA7cECOR0VJp37oIXns0AGqVPHChXNy4Isv4K23xO1v0ABefllKKtau7YULBD+VOuRSFL16Sdrqhx9KsZfrroP27aXPDB0KNWuW67RRUTJ4ettt8n3YuFFy2t3OzOzZ0q5WLen/cXGyxcfLHaqKfNGoh+5jDhyQWinubf16qWbnFu+ICGjXTjpr587ilbRu7WVHeeNG+UJ+8IH8kjRvLuUUH3xQgvBKHue9cR6Xn3M579/4vtOmBB5ZWdKH3nhDRL5+fRH1226TGrxeLNT2++8i8D/9JM5OaqoM74CIfGysfG/atpU0yrZtxbuvDDeYGnLxMUePwq+/yrZtm9RDWb9eBHzv3tPtatWSEigxMeJpxMVJGnCJk3vKQ06OBCnnz5eRqNWrT49W3X+/TOOP0Juzomj5ekt6tuzJtBumOW1K4GKtqO3EibLsUWamVHG78UYJx/ToISmvXiQnB37++fTdbEqKfMcOHjzd5qyzRNgvuEBKFOTfzjrLq+Y4igp6BcjKkrk1u3ad3nbuLCjgheta1K0rXoN7c3sRzZv7qNrsyZMSE09MlO2HHyRIaYykFNx6K9x8M5x9tg8uHlqc89o5XHXeVUwdONVpU4KDI0dE1GfMkDDeyZMShuneXSamdekit55163r90tZK7H39+tPbhg2yCEvhWav164vQR0fL97B5cylp437epEkFkwv8iMbQ85GTI+UrDhwQzTtwoOC2f39B8d6378xaFeHh4pBER0vd6OhoSQRwP0ZG+ujWz1r5NXHHbtavlzn8KSlw6pS0iY4+nQJz9dUSrFQ8RmPoZaRuXbjzTtmOHZN82nnzJBA+Zoz0WWMkPnLJJeLduLfo6AoFw40RH+XssyVpID/HjomztXVrwW31asm0cYdv8p+rcWPZGjWSiVHFPUZGyscOxDi+R4JujOkLvAGEA+9Ya8cWOm5yj/cHjgN3WWt9Uh7/6FFZGu3IEalVkpFR+vMjR+TW7MABOHSo+GJCERHyz2raVH69L71UnhfeGjb08j/TWumB+X9ldu2SylnubccOecw/g69hQ/liPPLIaW9IvfAKoYJeAWrVknrM114rrw8fhuXLJRC+fLmIfP7SAhER4h6fe66U+XRvzZpJ327YUByS2rXL7CHVqiW/H5dccuYxa8W0tDTZdu48/XzPHnHitm6Vx4yM4q9Rt654/vXqyWP+zb2vTh0xv/DWuLFojbcpVdCNMeHARKAPkAasMMbMtdZuyNesH9Aqd+sM/Cf30et8+WXJNaLCw+WPWLeuPNapI3/c6Gj5A0ZFyeMZ21mWunUsxrokadZaceezsmQ7dUoeM07BwUL7Cj9mZopAu7ejR898nZFR8LbA7WEXpkkT6eQxMVId6bzzTsdxii2RqJQXFXQvUq+e3CVeffXpfUeOyCD9+vUy2OR2WL7/XpQ1J+fM81SrdvqL6/5S59/cX/aaNaWte6teveDr3H2mWjXqR0RQv3447SLDoWO4CId7i4jIe37iZBj79hv27ZPxsL175Q7/0CHZDh8+/fz33+WG2b3f5Sr+T/N//ydliL2NJx56J2CLtXYbgDFmBjAQyC/oA4H3c6elLjPG1DfGNLHWer3+WtYfr9Bs1DjCjItwXISRQxguwpDXxrr/ihYLHLFwBNhJrlt+IHdzv/bXEEJYGNQMg9ph0MTI6/DcjhNRJ7cDRUBEvk5VpUquZ5IBrM/dkL/8huIvpZSffcf3YagEqRJOUbeuxNQ7F+HvZWdL8HvnTnFy9u0r+HjggDhC+/fLAJb7VvzoUZ/V8K0BnBMWxjn5xT4sTL6XxW1VDK6oMI5Sm6OmDkdtLXme+5hha3PhiTjgbq/b64mgNwN+z/c6jTO976LaNAMKCLoxZiQwEuCcIldSKJ0Lzouiy7Y6yHfOlPzovk0zpvS2RT4aCDNgwuSfGJYrxO6tqP0mDMLDcn/lcwU6LBzViOCgbcO2DG0/1GkzKicREdCihWxlwR2yPHFCBmUzM+XRveV/7X6enS13A0VtpR1z38GXsIVZS93c7cz2GXB5Ld/8CT1oU5QUFf459KQN1trJwGSQLBcPrn0GXa65h1nX3FOetyqKEooYczo4XcnxJFiYBuT/yWwO7CpHG0VRFMWHeCLoK4BWxphoY0xV4FZgbqE2c4FhRrgMOOyL+LmiKIpSPKWGXKy12caYh4GFSNriVGvtemPM/bnHJwHzkJTFLUjaovej/YqiKEqJeJSHbq2dh4h2/n2T8j23wEPeNU1RFEUpC5pwqyiKEiKooCuKooQIKuiKoighggq6oihKiOBY+VxjzD5ghyMXrxhRwH6njfAz+plDn8r2eSF4P/O51toiCzk5JujBijEmubhaxKGKfubQp7J9XgjNz6whF0VRlBBBBV1RFCVEUEEvO5OdNsAB9DOHPpXt80IIfmaNoSuKooQI6qEriqKECCroiqIoIYIKegUwxow2xlhjTJTTtvgSY8w/jTE/G2PWGGM+M8bUd9omX2GM6WuM2WSM2WKMedJpe3yNMaaFMWaxMWajMWa9MeZRp23yF8aYcGNMijHmS6dt8RYq6OXEGNMCWTj7N6dt8QPfAO2ste2BzcBTDtvjE/ItiN4PaAPcZoxp46xVPicbeMxaezFwGfBQJfjMbh4FNjpthDdRQS8/rwH/h/+WmXYMa+3X1trs3JfLkBWpQpG8BdGttacA94LoIYu1Nt1auyr3eQYicM2ctcr3GGOaA9cC7zhtizdRQS8HxpgBwE5r7WqnbXGA4cB8p43wEcUtdl4pMMa0BDoAyx02xR+8jjhkLoft8CoeLXBRGTHGfAucXcShZ4Cngav9a5FvKenzWms/z23zDHKLPt2ftvkRjxY7D0WMMbWB2cCfrbVHnLbHlxhjrgP2WmtXGmN6OmyOV1FBLwZr7VVF7TfGXAJEA6uNMSDhh1XGmE7W2t1+NNGrFPd53Rhj/gRcB/S2oTt5oVIudm6MqYKI+XRr7adO2+MHugEDjDH9gepAXWPM/6y1dzhsV4XRiUUVxBizHYi31gZj1TaPMMb0BV4FrrDW7nPaHl9hjIlABn17AzuRBdJvt9aud9QwH2LEK3kPOGit/bPD5vidXA99tLX2OodN8QoaQ1c84S2gDvCNMSbVGDOptDcEI7kDv+4F0TcCH4eymOfSDbgTuDL3f5ua67kqQYh66IqiKCGCeuiKoighggq6oihKiKCCriiKEiKooCuKooQIKuiKoighggq6oihKiKCCriiKEiL8f1Imaj1vyBJOAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "relu_deriv = 1.0*(activation_input > 0)\n", - "leaky_deriv = 1.0*(activation_input > 0) + 0.3*(activation_input <= 0)\n", - "\n", - "sns.lineplot(x=activation_input, y=tanh_deriv, color='red', label=\"tanh'(x)\")\n", - "sns.lineplot(x=activation_input, y=sigmoid_deriv, color='blue', label=\"$\\sigma'(x)$\")\n", - "sns.lineplot(x=activation_input, y=relu_deriv, color='green', label=\"ReLU'(x)\")\n", - "sns.lineplot(x=activation_input, y=leaky_deriv, color='purple', label=\"LeakyReLU'(x)\")" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:20:52.224959Z", - "start_time": "2020-12-28T17:20:52.222555Z" - } - }, - "outputs": [], - "source": [ - "leak_rate = 0.1 #How much I want the LeakyReLU to \"leak\" by. Anything in [0.01, 0.3] would have been fine. " - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:20:52.234833Z", - "start_time": "2020-12-28T17:20:52.226143Z" - } - }, - "outputs": [], - "source": [ - "fc_relu_model = nn.Sequential(\n", - " nn.Flatten(),\n", - " nn.Linear(D, n), nn.LeakyReLU(leak_rate),\n", - " *[nn.Sequential(nn.Linear(n, n), nn.LeakyReLU(leak_rate)) for _ in range(5)], \n", - " nn.Linear(n, classes),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:20:52.239887Z", - "start_time": "2020-12-28T17:20:52.236312Z" - } - }, - "outputs": [], - "source": [ - "def cnnLayer(in_filters, out_filters=None, kernel_size=3):\n", - " \"\"\"\n", - " in_filters: how many channels are coming into the layer\n", - " out_filters: how many channels this layer should learn / output, or `None` if we want to have the same number of channels as the input.\n", - " kernel_size: how large the kernel should be\n", - " \"\"\"\n", - " if out_filters is None:\n", - " out_filters = in_filters #This is a common pattern, so lets automate it as a default if not asked\n", - " padding=kernel_size//2 #padding to stay the same size\n", - " return nn.Sequential( # Combine the layer and activation into a single unit\n", - " nn.Conv2d(in_filters, out_filters, kernel_size, padding=padding), \n", - " nn.LeakyReLU(leak_rate)\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:20:52.250635Z", - "start_time": "2020-12-28T17:20:52.241301Z" - } - }, - "outputs": [], - "source": [ - "cnn_relu_model = nn.Sequential(\n", - " cnnLayer(C, n_filters), cnnLayer(n_filters), cnnLayer(n_filters),\n", - " nn.MaxPool2d((2,2)),\n", - " cnnLayer(n_filters, 2*n_filters), cnnLayer(2*n_filters), cnnLayer(2*n_filters), \n", - " nn.MaxPool2d((2,2)),\n", - " cnnLayer(2*n_filters, 4*n_filters), cnnLayer(4*n_filters),\n", - " nn.Flatten(),\n", - " nn.Linear(D*n_filters//4, classes),\n", - ")\n", - "#Caption: This is our generic CNN code block. Ignoring the object name, this code block can be re-purposed for many different styles of CNN hidden layers by changing the definition of the cnnLayer function. " - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:25:37.436480Z", - "start_time": "2020-12-28T17:20:52.252124Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6d162e731b4747aaad1999715a81782c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "42e8658e137946b6904f50471e931889", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "fc_relu_results = train_network(fc_relu_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", - "del fc_relu_model\n", - "cnn_relu_results = train_network(cnn_relu_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", - "del cnn_relu_model" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:25:37.717664Z", - "start_time": "2020-12-28T17:25:37.437713Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x='epoch', y='val Accuracy', data=fc_results, label='FC')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=fc_relu_results, label='FC-ReLU')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_results, label='CNN')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:25:37.726215Z", - "start_time": "2020-12-28T17:25:37.719071Z" - } - }, - "outputs": [], - "source": [ - "fc_bn_model = nn.Sequential(\n", - " nn.Flatten(),\n", - " nn.Linear(D, n), nn.BatchNorm1d(n), nn.LeakyReLU(leak_rate),\n", - " *[nn.Sequential(nn.Linear(n, n), nn.BatchNorm1d(n), nn.LeakyReLU(leak_rate)) for _ in range(5)], \n", - " nn.Linear(n, classes),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:25:37.732370Z", - "start_time": "2020-12-28T17:25:37.729429Z" - } - }, - "outputs": [], - "source": [ - "def cnnLayer(in_filters, out_filters=None, kernel_size=3):\n", - " if out_filters is None:\n", - " out_filters = in_filters #This is a common pattern, so lets automate it as a default if not asked\n", - " padding=kernel_size//2 #padding to stay the same size\n", - " return nn.Sequential( # Combine the layer and activation into a single unit\n", - " nn.Conv2d(in_filters, out_filters, kernel_size, padding=padding), \n", - " nn.BatchNorm2d(out_filters), #The only change, adding BatchNorm2d after our convolution! \n", - " nn.LeakyReLU(leak_rate)\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:25:37.742682Z", - "start_time": "2020-12-28T17:25:37.734185Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "cnn_bn_model = nn.Sequential(\n", - " cnnLayer(C, n_filters), cnnLayer(n_filters), cnnLayer(n_filters),\n", - " nn.MaxPool2d((2,2)),\n", - " cnnLayer(n_filters, 2*n_filters), cnnLayer(2*n_filters), cnnLayer(2*n_filters), \n", - " nn.MaxPool2d((2,2)),\n", - " cnnLayer(2*n_filters, 4*n_filters), cnnLayer(4*n_filters),\n", - " nn.Flatten(),\n", - " nn.Linear(D*n_filters//4, classes),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:30:58.704784Z", - "start_time": "2020-12-28T17:25:37.743946Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "7fc8356d66b44d84ac63017e00d03ae1", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "4bb2b5fd7e744cd9a26f0e278244c00c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "fc_bn_results = train_network(fc_bn_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", - "del fc_bn_model\n", - "cnn_bn_results = train_network(cnn_bn_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", - "del cnn_bn_model" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:30:58.997886Z", - "start_time": "2020-12-28T17:30:58.706126Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x='epoch', y='val Accuracy', data=fc_relu_results, label='FC-ReLU')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=fc_bn_results, label='FC-ReLU-BN')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_bn_results, label='CNN-ReLU-BN')" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:30:59.006339Z", - "start_time": "2020-12-28T17:30:58.999291Z" - } - }, - "outputs": [], - "source": [ - "fc_ln_model = nn.Sequential(\n", - " nn.Flatten(),\n", - " nn.Linear(D, n), nn.LayerNorm([n]), nn.LeakyReLU(leak_rate),\n", - " *[nn.Sequential(nn.Linear(n, n), nn.LayerNorm([n]), nn.LeakyReLU(leak_rate)) for _ in range(5)], \n", - " nn.Linear(n, classes),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:30:59.010523Z", - "start_time": "2020-12-28T17:30:59.007595Z" - } - }, - "outputs": [], - "source": [ - "def cnnLayer(in_filters, out_filters=None, pool_factor=0,kernel_size=3):\n", - " if out_filters is None:\n", - " out_filters = in_filters #This is a common pattern, so lets automate it as a default if not asked\n", - " padding=kernel_size//2 #padding to stay the same size\n", - " return nn.Sequential( # Combine the layer and activation into a single unit\n", - " nn.Conv2d(in_filters, out_filters, kernel_size, padding=padding), \n", - " nn.LayerNorm([out_filters, W//(2**pool_factor), H//(2**pool_factor)]), #The only change, adding BatchNorm2d after our convolution! \n", - " nn.LeakyReLU(leak_rate)\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:30:59.020626Z", - "start_time": "2020-12-28T17:30:59.011753Z" - } - }, - "outputs": [], - "source": [ - "cnn_ln_model = nn.Sequential(\n", - " cnnLayer(C, n_filters), \n", - " cnnLayer(n_filters), \n", - " cnnLayer(n_filters),\n", - " nn.MaxPool2d((2,2)), #we've done one round of pooling, so , pool_factor=1 now\n", - " cnnLayer(n_filters, 2*n_filters, pool_factor=1), \n", - " cnnLayer(2*n_filters, pool_factor=1), \n", - " cnnLayer(2*n_filters, pool_factor=1), \n", - " nn.MaxPool2d((2,2)), #now we've done two rounds of pooling, so pool_factor=2\n", - " cnnLayer(2*n_filters, 4*n_filters, pool_factor=2), \n", - " cnnLayer(4*n_filters, pool_factor=2),\n", - " nn.Flatten(),\n", - " nn.Linear(D*n_filters//4, classes),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:36:11.905438Z", - "start_time": "2020-12-28T17:30:59.021792Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9b846e7db1f3463f97cca5197f580201", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cd1283b8d11947b89ba9e35afe4c0367", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "fc_ln_results = train_network(fc_ln_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", - "del fc_ln_model\n", - "cnn_ln_results = train_network(cnn_ln_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", - "del cnn_ln_model" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:36:12.251041Z", - "start_time": "2020-12-28T17:36:11.907483Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x='epoch', y='val Accuracy', data=fc_relu_results, label='FC-ReLU')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=fc_bn_results, label='FC-ReLU-BN')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_bn_results, label='CNN-ReLU-BN')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=fc_ln_results, label='FC-ReLU-LN')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_ln_results, label='CNN-ReLU-LN')" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:36:12.259148Z", - "start_time": "2020-12-28T17:36:12.252973Z" - } - }, - "outputs": [], - "source": [ - "class SkipFC(nn.Module):\n", - " def __init__(self, n_layers, in_size, out_size, leak_rate=0.1):\n", - " \"\"\"\n", - " n_layers: how many hidden layers for this block of dense skip connections\n", - " in_size: how many features are coming into this layer\n", - " out_size: how many features should be used for the final layer of this block. \n", - " leak_rate: the parameter for the LeakyReLU activation function. \n", - " \"\"\"\n", - " super().__init__()\n", - " \n", - " #The final layer will be treated differently, so lets grab it's index to use in the next two lines\n", - " l = n_layers-1\n", - " #The linear and batch norm layers are stored in `layers` and `bns` respectively. A list comprehensive creates all the layers in one line each. The `if i == l` allows us to single out the last layer which needs to use `out_size` instead of `in_size`\n", - " self.layers = nn.ModuleList([nn.Linear(in_size*l, out_size) if i == l else nn.Linear(in_size, in_size) for i in range(n_layers)])\n", - " self.bns = nn.ModuleList([nn.BatchNorm1d(out_size) if i == l else nn.BatchNorm1d(in_size) for i in range(n_layers)])\n", - " #Since we are writing our own `forward` function instead of using nn.Sequential, we can just use one activation object multiple times. \n", - " self.activation = nn.LeakyReLU(leak_rate)\n", - " \n", - " def forward(self, x):\n", - " #First we need a location to store the activations from every layer (except the last one) in this block. All the activations will be combined as the input to the last layer, which is what makes the skips! \n", - " activations = []\n", - " \n", - " #zip the linear and normalization layers into paired tuples, using [:-1] to select all but the last item in each list.\n", - " for layer, bn in zip(self.layers[:-1], self.bns[:-1]):\n", - " x = self.activation(bn(layer(x)))\n", - " activations.append( x )\n", - " #concatenate the activations together, this makes the input for the last layer\n", - " x = torch.cat(activations, dim=1)\n", - " #Now manually use the last linear and batch-norm layer on this concatenated input, giving us the result.\n", - " return self.activation(self.bns[-1](self.layers[-1](x)))\n", - "#Caption: A PyTorch module defining a class for creating skip connections. It will create one larger block of multiple layers in a “dense” style skip connection, containing `n_layers` total. Used on its own it can create dense networks, or used sequentially it can create staggered skip connections. " - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:38:41.350004Z", - "start_time": "2020-12-28T17:36:12.260910Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f4d5f1caf1644d1f99b89e0e7fa0e15c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "fc_skip_model = nn.Sequential(\n", - " nn.Flatten(),\n", - " SkipFC(2, D, n),\n", - " SkipFC(2, n, n),\n", - " SkipFC(2, n, n),\n", - " nn.Linear(n, classes),\n", - ")\n", - "\n", - "fc_skip_results = train_network(fc_skip_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", - "del fc_skip_model" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:38:41.620292Z", - "start_time": "2020-12-28T17:38:41.352840Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x='epoch', y='val Accuracy', data=fc_relu_results, label='FC-ReLU')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=fc_bn_results, label='FC-ReLU-BN')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=fc_skip_results, label='FC-ReLU-BN-Skip')" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:38:41.627894Z", - "start_time": "2020-12-28T17:38:41.621862Z" - } - }, - "outputs": [], - "source": [ - "class SkipConv2d(nn.Module):\n", - " def __init__(self, n_layers, in_channels, out_channels, kernel_size=3, leak_rate=0.1):\n", - " super().__init__()\n", - " \n", - " #The last convolution will have a different number of inputs and output channels, so we still need that index\n", - " l = n_layers-1\n", - " #this is just simple helper values \n", - " f = (kernel_size, kernel_size)\n", - " pad = (kernel_size-1)//2\n", - " \n", - " #Defining the layers used, altering the construction of the last layer using the same `if i == l` list comprehension. We are going to combine convolutions via their channels, so the in and out channels change for the last layer. \n", - " self.layers = nn.ModuleList([nn.Conv2d(in_channels*l, out_channels, kernel_size=f, padding=pad) if i == l else nn.Conv2d(in_channels, in_channels, kernel_size=f, padding=pad) for i in range(n_layers)])\n", - " self.bns = nn.ModuleList([nn.BatchNorm2d(out_channels) if i == l else nn.BatchNorm2d(in_channels) for i in range(n_layers)])\n", - " \n", - " self.activation = nn.LeakyReLU(leak_rate)\n", - " \n", - " def forward(self, x):\n", - " #This code is identical to the SkipFC class, but its worth highliting the most important line that could change. \n", - " activations = []\n", - " \n", - " for layer, bn in zip(self.layers[:-1], self.bns[:-1]):\n", - " x = self.activation(bn(layer(x)))\n", - " activations.append( x )\n", - " #Which is the concatination of all the activations here. Our tensors are organized as (B, C, W, H), which is the default in PyTorch. But you can change that, and sometimes people use (B, W, H, C). In that situation the C channel is at index 3 instead of 1. So you would change `cat=3` in that scenario. This is also how you would adapt this code to work with RNNs\n", - " x = torch.cat(activations, dim=1)\n", - " \n", - " return self.activation(self.bns[-1](self.layers[-1](x)))" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:42:28.233782Z", - "start_time": "2020-12-28T17:38:41.629348Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3d6394a44c1f4b529c5059f004069488", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "cnn_skip_model = nn.Sequential(\n", - " nn.Conv2d(C, n_filters, (3,3), padding=1), \n", - " SkipConv2d(3, n_filters, 2*n_filters),\n", - " nn.MaxPool2d((2,2)),\n", - " nn.LeakyReLU(),\n", - " SkipConv2d(3, 2*n_filters, 4*n_filters),\n", - " nn.MaxPool2d((2,2)),\n", - " SkipConv2d(2, 4*n_filters, 4*n_filters),\n", - " nn.Flatten(),\n", - " nn.Linear(D*n_filters//4, classes),\n", - ")\n", - "\n", - "cnn_skip_results = train_network(cnn_skip_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", - "del cnn_skip_model" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:42:28.481737Z", - "start_time": "2020-12-28T17:42:28.235176Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_bn_results, label='CNN-ReLU-BN')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_skip_results, label='CNN-ReLU-BN-Skip')" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:42:28.485867Z", - "start_time": "2020-12-28T17:42:28.482988Z" - } - }, - "outputs": [], - "source": [ - "def infoShareBlock(n_filters):\n", - " return nn.Sequential(\n", - " nn.Conv2d(n_filters, n_filters, (1,1), padding=0), \n", - " nn.BatchNorm2d(n_filters),\n", - " nn.LeakyReLU())" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:42:28.490401Z", - "start_time": "2020-12-28T17:42:28.487045Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "def cnnLayer(in_filters, out_filters=None, kernel_size=3):\n", - " if out_filters is None:\n", - " out_filters = in_filters #This is a common pattern, so lets automate it as a default if not asked\n", - " padding=kernel_size//2 #padding to stay the same size\n", - " return nn.Sequential( # Combine the layer and activation into a single unit\n", - " nn.Conv2d(in_filters, out_filters, kernel_size, padding=padding), \n", - " nn.BatchNorm2d(out_filters), #The only change, adding BatchNorm2d after our convolution! \n", - " nn.LeakyReLU(leak_rate)\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:45:50.160097Z", - "start_time": "2020-12-28T17:42:28.491598Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2dda1f56a1d1445f83aa58c25986bec3", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "latex_envs": { + "LaTeX_envs_menu_present": true, + "autoclose": false, + "autocomplete": true, + "bibliofile": "biblio.bib", + "cite_by": "apalike", + "current_citInitial": 1, + "eqLabelWithNumbers": true, + "eqNumInitial": 1, + "hotkeys": { + "equation": "Ctrl-E", + "itemize": "Ctrl-I" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "labels_anchors": false, + "latex_user_defs": false, + "report_style_numbering": false, + "user_envs_cfg": false }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "latex_metadata": { + "title": "Common Design Building Blocks" }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "cnn_1x1_model = nn.Sequential(\n", - " cnnLayer(C, n_filters), \n", - " cnnLayer(n_filters),\n", - " infoShareBlock(n_filters), #first info block after 2x cnnLayers\n", - " cnnLayer(n_filters),\n", - " nn.MaxPool2d((2,2)),\n", - " cnnLayer(n_filters, 2*n_filters), \n", - " cnnLayer(2*n_filters),\n", - " infoShareBlock(2*n_filters),\n", - " cnnLayer(2*n_filters), \n", - " nn.MaxPool2d((2,2)),\n", - " cnnLayer(2*n_filters, 4*n_filters), \n", - " cnnLayer(4*n_filters),\n", - " infoShareBlock(4*n_filters),\n", - " nn.Flatten(),\n", - " nn.Linear(D*n_filters//4, classes),\n", - ")\n", - "#Now train up this model\n", - "cnn_1x1_results = train_network(cnn_1x1_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", - "del cnn_1x1_model" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:45:50.406514Z", - "start_time": "2020-12-28T17:45:50.161271Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" + "colab": { + "name": "Chapter_6.ipynb", + "provenance": [] }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_bn_results, label='CNN-ReLU-BN')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_1x1_results, label='CNN-ReLU-BN-1x1')" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:45:50.411847Z", - "start_time": "2020-12-28T17:45:50.407827Z" - } - }, - "outputs": [], - "source": [ - "class ResidualBlockE(nn.Module):\n", - " def __init__(self, channels, kernel_size=3, leak_rate=0.1):\n", - " \"\"\"\n", - " channels: how many channels are in the input/output to this layer\n", - " kernel_size: how large of a filter should we use\n", - " leak_rate: paramter for the LeakyReLU activation function\n", - " \"\"\"\n", - " super().__init__()\n", - " #how much padding will our convolutional layers need to maintain the input shape\n", - " pad = (kernel_size-1)//2\n", - " \n", - " #Define the conv an BN layers we will use in a sub-network, just 2 hidden layers of conv/BN/activation\n", - " self.F = nn.Sequential(\n", - " nn.Conv2d(channels, channels, kernel_size, padding=pad),\n", - " nn.BatchNorm2d(channels),\n", - " nn.LeakyReLU(leak_rate),\n", - " nn.Conv2d(channels, channels, kernel_size, padding=pad),\n", - " nn.BatchNorm2d(channels),\n", - " nn.LeakyReLU(leak_rate),\n", - " )\n", - " \n", - " def forward(self, x):\n", - " return x + self.F(x) #F() has all the work for the long path, we just add it to the input" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:45:50.419167Z", - "start_time": "2020-12-28T17:45:50.413080Z" - } - }, - "outputs": [], - "source": [ - "class ResidualBottleNeck(nn.Module):\n", - " def __init__(self, in_channels, out_channels, kernel_size=3, leak_rate=0.1):\n", - " super().__init__()\n", - " #how much padding will our convolutional layers need to maintain the input shape\n", - " pad = (kernel_size-1)//2\n", - " #The botteneck should be smaller, so output/4 or input. You could also try changing max to min, its not a major issue. \n", - " bottleneck = max(out_channels//4, in_channels)\n", - " #Define the three sets of BN and convolution layers we need. \n", - " #Notice that for the 1x1 convs we use padding=0, because 1x1 will not change shape! \n", - " self.F = nn.Sequential(\n", - " #Compress down\n", - " nn.BatchNorm2d(in_channels),\n", - " nn.LeakyReLU(leak_rate),\n", - " nn.Conv2d(in_channels, bottleneck, 1, padding=0),\n", - " #Normal layer doing a full conv\n", - " nn.BatchNorm2d(bottleneck),\n", - " nn.LeakyReLU(leak_rate),\n", - " nn.Conv2d(bottleneck, bottleneck, kernel_size, padding=pad),\n", - " #Expand back up\n", - " nn.BatchNorm2d(bottleneck),\n", - " nn.LeakyReLU(leak_rate),\n", - " nn.Conv2d(bottleneck, out_channels, 1, padding=0)\n", - " )\n", - "\n", - " #By default, our shortcut will be the identiy function - which simply returns the input as the output\n", - " self.shortcut = nn.Identity()\n", - " #If we need to change the shape, then lets turn the shortcut into a small layer with 1x1 conv and BM\n", - " if in_channels != out_channels:\n", - " self.shortcut = nn.Sequential(\n", - " nn.Conv2d(in_channels, out_channels, 1, padding=0), \n", - " nn.BatchNorm2d(out_channels)\n", - " )\n", - "\n", - " def forward(self, x):\n", - " # shortcut(x) plays the role of \"x\", do as little work as possible to keep the tensor shapes the same.\n", - " return self.shortcut(x) + self.F(x) " - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:45:50.433303Z", - "start_time": "2020-12-28T17:45:50.420355Z" + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "5f7c6299224345a7bc6123df3372152b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_3571048cb2094d96bc8017ffab0b12a8", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3ea3d82e8b174d0daf45002cca780c43", + "IPY_MODEL_f2b9cbecfd7844238178b2f8b1ec541b" + ] + } + }, + "3571048cb2094d96bc8017ffab0b12a8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3ea3d82e8b174d0daf45002cca780c43": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_216e21814c274f59a8d03543210959d9", + "_dom_classes": [], + "description": "", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 1, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 1, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_66186b2c98054e6192e9444335e5be11" + } + }, + "f2b9cbecfd7844238178b2f8b1ec541b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_48e492983c4545c7abca85179fd52523", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 26427392/? [00:07<00:00, 3767096.99it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e487d7b18c394eb38876557f77d83eab" + } + }, + "216e21814c274f59a8d03543210959d9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "66186b2c98054e6192e9444335e5be11": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "48e492983c4545c7abca85179fd52523": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e487d7b18c394eb38876557f77d83eab": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "42a3a310ff2843b4a7fbdd710b0adfeb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_f869f3b3d9c54358833330e35fc39621", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_51e0d4f5445f48a399c246b72d53685e", + "IPY_MODEL_d330398a46e34d31853c054ac7990e5e" + ] + } + }, + "f869f3b3d9c54358833330e35fc39621": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "51e0d4f5445f48a399c246b72d53685e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a29c891a7d01462ebee882b1dfb3e7be", + "_dom_classes": [], + "description": "", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 1, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 1, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_49ad4601ca504713ab299b32bd913106" + } + }, + "d330398a46e34d31853c054ac7990e5e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_681ed9cd74614504b30636e3fc5131b2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 32768/? [00:02<00:00, 12242.32it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3fd4e2cb90344886813cf8d52abbb47b" + } + }, + "a29c891a7d01462ebee882b1dfb3e7be": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "49ad4601ca504713ab299b32bd913106": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "681ed9cd74614504b30636e3fc5131b2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "3fd4e2cb90344886813cf8d52abbb47b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "389228e18d8947448423ca00db0c35de": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_618e3bd51a9f4f99bb50f890d87d10bf", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_18bb6f7ee7fd47a09af0836aba07b641", + "IPY_MODEL_e705587198ca40f897baa5e1dad40514" + ] + } + }, + "618e3bd51a9f4f99bb50f890d87d10bf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "18bb6f7ee7fd47a09af0836aba07b641": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_050ccc56b9d8420da47a1edcd3b7be47", + "_dom_classes": [], + "description": "", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 1, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 1, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2bfb35f4786549ccaa345b1d523d4de2" + } + }, + "e705587198ca40f897baa5e1dad40514": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_86152c948a5740169efdcea71a5a94c5", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 4423680/? [00:02<00:00, 2004801.42it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3fe1c326b5b44c88a465b94b90dd28ac" + } + }, + "050ccc56b9d8420da47a1edcd3b7be47": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2bfb35f4786549ccaa345b1d523d4de2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "86152c948a5740169efdcea71a5a94c5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "3fe1c326b5b44c88a465b94b90dd28ac": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "602799d65bae4bc38d0833c89f60d519": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_54fdb2bc42804484ae49d9472ab60383", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_6f3d901af8074e79abf5f620091cd50e", + "IPY_MODEL_0de5137ed13049229637948696ba5721" + ] + } + }, + "54fdb2bc42804484ae49d9472ab60383": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6f3d901af8074e79abf5f620091cd50e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_e9d9574659974883affaf9f37e23532a", + "_dom_classes": [], + "description": "", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 1, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 1, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f9bb2aeb13bb45dba54a428573bb19a2" + } + }, + "0de5137ed13049229637948696ba5721": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_42a8f6c7bfb546ceae07f48c24623902", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 8192/? [00:00<00:00, 12833.87it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_54e92d50ed4f46dfb6e0940cc9b050df" + } + }, + "e9d9574659974883affaf9f37e23532a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f9bb2aeb13bb45dba54a428573bb19a2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "42a8f6c7bfb546ceae07f48c24623902": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "54e92d50ed4f46dfb6e0940cc9b050df": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f32b3410e35649cfaca5b0fbf684dbb4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_6cbe5aab2a194cdb818488080e4ea6db", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_674569a6f3f841f3afe0e648aad5478b", + "IPY_MODEL_35d5336f5d364dc8970542938618838d" + ] + } + }, + "6cbe5aab2a194cdb818488080e4ea6db": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "674569a6f3f841f3afe0e648aad5478b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_bd311e2e34cc4a2d8a73a8210a5d5c81", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ed63880ea36d4ce285a4c89e3ca6e6b1" + } + }, + "35d5336f5d364dc8970542938618838d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e676916c403941dc8b5e376352a3e087", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [04:03<00:00, 24.39s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_aef96f1096ff4f18b784716e4f7f63f0" + } + }, + "bd311e2e34cc4a2d8a73a8210a5d5c81": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ed63880ea36d4ce285a4c89e3ca6e6b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e676916c403941dc8b5e376352a3e087": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "aef96f1096ff4f18b784716e4f7f63f0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "73a34fa4845b49aeb612699a41238ea6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d4729e6a652c45938d1c5886423438c1", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_75cc453ea45445e28088d41c5d0f6834", + "IPY_MODEL_c5035090ddba4dd5b1936010e63f47ba" + ] + } + }, + "d4729e6a652c45938d1c5886423438c1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "75cc453ea45445e28088d41c5d0f6834": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_bf0d496b87b5443ea952ec42b7c14c61", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d721e87fc3bc413891b5fee0a73c8dd6" + } + }, + "c5035090ddba4dd5b1936010e63f47ba": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_1e2c1077536b49d89905904c5556154e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 38.01it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1450b40f82a84496a9fda212a42a9560" + } + }, + "bf0d496b87b5443ea952ec42b7c14c61": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "d721e87fc3bc413891b5fee0a73c8dd6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1e2c1077536b49d89905904c5556154e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "1450b40f82a84496a9fda212a42a9560": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e6e373c251f8415397a754af5f8afc50": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_6fa32dabff56412eb8e951c596511c80", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_757afde32ddd4e929d6ede247078b52a", + "IPY_MODEL_3045da22f2774c77b92df04a3c976fbd" + ] + } + }, + "6fa32dabff56412eb8e951c596511c80": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "757afde32ddd4e929d6ede247078b52a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_5baef318a106456eb6bde6e716ca5ab2", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5a490446b1fd49c882a5b8c8fbe4c862" + } + }, + "3045da22f2774c77b92df04a3c976fbd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_ac1b18553a874610a70a71fe376588d7", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 62.27it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_aa0db2e8cc8f4e1090bc994bef291563" + } + }, + "5baef318a106456eb6bde6e716ca5ab2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5a490446b1fd49c882a5b8c8fbe4c862": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ac1b18553a874610a70a71fe376588d7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "aa0db2e8cc8f4e1090bc994bef291563": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d5b3ce597f034907b15c0f5181a510f8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_7e31f057feee4e01b847df47aa987567", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_c8114e4265b94ae98330fcde645915f9", + "IPY_MODEL_59f94b5c15674803a5c78db13928281c" + ] + } + }, + "7e31f057feee4e01b847df47aa987567": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c8114e4265b94ae98330fcde645915f9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_054b9f4791da4474922a61392377936a", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_aea48b4bafa24bd4b379b8371f7cca4c" + } + }, + "59f94b5c15674803a5c78db13928281c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_230752aed8b240d7b52354900c22863f", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 38.44it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_574d0aa06fd74fc59f31492fc15d6d1e" + } + }, + "054b9f4791da4474922a61392377936a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "aea48b4bafa24bd4b379b8371f7cca4c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "230752aed8b240d7b52354900c22863f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "574d0aa06fd74fc59f31492fc15d6d1e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f1367156c70a4d3fa69642ccce0d16df": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_a43c61de35ed4551b8e6ca42757bfdcc", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_929d808886124fc08599fe364a7c7756", + "IPY_MODEL_f7fed5a32fe34677a0ce9181faecae8f" + ] + } + }, + "a43c61de35ed4551b8e6ca42757bfdcc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "929d808886124fc08599fe364a7c7756": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_bfc6801d73664ef7ae5dc6ee5eddf4f5", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5ce3ca68602e446db29ce0b02bca1ff0" + } + }, + "f7fed5a32fe34677a0ce9181faecae8f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9b58c742148445c9908be71dea8cb282", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 65.28it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_aefb8839406d4627b8bc1527dbdd34ee" + } + }, + "bfc6801d73664ef7ae5dc6ee5eddf4f5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5ce3ca68602e446db29ce0b02bca1ff0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9b58c742148445c9908be71dea8cb282": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "aefb8839406d4627b8bc1527dbdd34ee": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bcf3e1925b7f4483918f1a02c394532a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9f3689e53a4e4cc08e3a330307444bc2", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_8c8440679f23490f8be7c5bac234f663", + "IPY_MODEL_3dc96356a99348a993bab38c1b8cb80f" + ] + } + }, + "9f3689e53a4e4cc08e3a330307444bc2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8c8440679f23490f8be7c5bac234f663": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_bd0b1c19adf74555b8c84f4dfe8a93a5", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1fa8060da1564dd09292a7a7e6e946a6" + } + }, + "3dc96356a99348a993bab38c1b8cb80f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_475224edd2744cb397daee7feeb8b9ce", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 39.01it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_85513d2bef4146ffb14702c2860c75e7" + } + }, + "bd0b1c19adf74555b8c84f4dfe8a93a5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "1fa8060da1564dd09292a7a7e6e946a6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "475224edd2744cb397daee7feeb8b9ce": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "85513d2bef4146ffb14702c2860c75e7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d245fdfb64ed4564ae32a61b043dd049": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4b989e49e0684389974166c04a68eebb", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_7c2fb7637fc84f8aa2298f758948ab14", + "IPY_MODEL_9f1c6cb6790e4d7a9418320c7227bf54" + ] + } + }, + "4b989e49e0684389974166c04a68eebb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7c2fb7637fc84f8aa2298f758948ab14": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_0c0910d2d2cd4617a10ce1c45d98665b", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4b17ed107ac5452aa952a2c7728e9c88" + } + }, + "9f1c6cb6790e4d7a9418320c7227bf54": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_b764ff73e9024a68a8af6bc68a661472", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 63.65it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2e6c55a755f04a94a4cc4f1d81a859e8" + } + }, + "0c0910d2d2cd4617a10ce1c45d98665b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4b17ed107ac5452aa952a2c7728e9c88": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b764ff73e9024a68a8af6bc68a661472": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "2e6c55a755f04a94a4cc4f1d81a859e8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0f494331b18b4d349f3512e928cc748c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_1278ee5b7b9a4b8daebbe1314a125957", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a6840b56b7694ee997248d38b9457a74", + "IPY_MODEL_1b5ecb0c68da49f3b4a448f5d8782320" + ] + } + }, + "1278ee5b7b9a4b8daebbe1314a125957": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a6840b56b7694ee997248d38b9457a74": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_8a142ee5c158471b9cded6eb6c85d425", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f195422f28a342879f5b58a795589c1c" + } + }, + "1b5ecb0c68da49f3b4a448f5d8782320": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_675bc6a990534cc9a83175107bde47cb", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 38.03it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2447ad5a1d274c56a847886d677cc340" + } + }, + "8a142ee5c158471b9cded6eb6c85d425": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f195422f28a342879f5b58a795589c1c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "675bc6a990534cc9a83175107bde47cb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "2447ad5a1d274c56a847886d677cc340": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9fdbc63f30e1447887b7d8b7d165dc81": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_65dda46fad8d443d9f69283f5a72f873", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_00beb7682e65481186b8098733f9df72", + "IPY_MODEL_cc9ca32f98bd4ce58cfdc20257b825b9" + ] + } + }, + "65dda46fad8d443d9f69283f5a72f873": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "00beb7682e65481186b8098733f9df72": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f656433ce30f44ec85ab697bd3a2a1ef", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_07c313e9bce64767bd8c7ecfd9c88699" + } + }, + "cc9ca32f98bd4ce58cfdc20257b825b9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e1ad70f45196454991027c7969e9f2bb", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 64.90it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e96abe3ef25146a3a23fbbc30182502b" + } + }, + "f656433ce30f44ec85ab697bd3a2a1ef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "07c313e9bce64767bd8c7ecfd9c88699": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e1ad70f45196454991027c7969e9f2bb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e96abe3ef25146a3a23fbbc30182502b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "961df31269d84ac2a37d42f94efc5da2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_7e329e1204dc4ee19c98a8f488e32868", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_14dc1670257f4c6ba5914b24b26a4d8b", + "IPY_MODEL_9586b3109b2e49bea6ef5f485560bf21" + ] + } + }, + "7e329e1204dc4ee19c98a8f488e32868": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "14dc1670257f4c6ba5914b24b26a4d8b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_df3799efb26243e79d12bf333b324eec", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4644bd288b8240b483387d0c2a73ce03" + } + }, + "9586b3109b2e49bea6ef5f485560bf21": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_6cf27c51a2da4f17bf368a7ce907d23a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 38.37it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_65cdedebb9d44b64bb1c71052e9ebb12" + } + }, + "df3799efb26243e79d12bf333b324eec": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4644bd288b8240b483387d0c2a73ce03": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6cf27c51a2da4f17bf368a7ce907d23a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "65cdedebb9d44b64bb1c71052e9ebb12": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b0009e4e01c2419cbceb16108672e088": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_180c61da089d4ec3b3de0470630cb1f6", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a6202be1d79148e786e164bc370f0d86", + "IPY_MODEL_7b510d31c7db4f06b1a2e654e2caec27" + ] + } + }, + "180c61da089d4ec3b3de0470630cb1f6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a6202be1d79148e786e164bc370f0d86": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_86bad2632e4a4db08ada26816389d7b5", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_06c0ecd6c6ab4dd89330c3f27abdff30" + } + }, + "7b510d31c7db4f06b1a2e654e2caec27": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9bf68b9ba64a46b1a2de336bcbd8b85b", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 62.70it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_dbe07f9768b4483597f0c1ac46b0fb94" + } + }, + "86bad2632e4a4db08ada26816389d7b5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "06c0ecd6c6ab4dd89330c3f27abdff30": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9bf68b9ba64a46b1a2de336bcbd8b85b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "dbe07f9768b4483597f0c1ac46b0fb94": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3167ce89417c403eba90a68018e9d51f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_361682feb8a04bc6b0674d5e43129de3", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_b366790f3aa543e493b5e422f33cb3ff", + "IPY_MODEL_4f569da0cd6b4651872f46833a7362cd" + ] + } + }, + "361682feb8a04bc6b0674d5e43129de3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b366790f3aa543e493b5e422f33cb3ff": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_06be1d9ce1b84497a7afb5b441aa054a", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f3039ea05ce94e689e96ca749a3c4a9d" + } + }, + "4f569da0cd6b4651872f46833a7362cd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_dc2469093ede476ea89613eec2b0f429", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 35.34it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6501468e25bc4e17a3761d95a49bdb81" + } + }, + "06be1d9ce1b84497a7afb5b441aa054a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f3039ea05ce94e689e96ca749a3c4a9d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "dc2469093ede476ea89613eec2b0f429": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "6501468e25bc4e17a3761d95a49bdb81": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "47906d5961174a4b942e606139fee296": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_8f8737eca7a44ae1ad36a6d51a626f70", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_b0e1aa0cb6a74188a383adf60f302511", + "IPY_MODEL_30368199c08e49419e4603ce78ff5fad" + ] + } + }, + "8f8737eca7a44ae1ad36a6d51a626f70": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b0e1aa0cb6a74188a383adf60f302511": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a8ace42155134e10952bd06b309d1a7a", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ce76a775384349ec82fa74a5b1bea664" + } + }, + "30368199c08e49419e4603ce78ff5fad": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_6e6f901c5b79461791538cf966fe2a88", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 64.40it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a1ce4edb09cb4c1ca6a0e83f797b97af" + } + }, + "a8ace42155134e10952bd06b309d1a7a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ce76a775384349ec82fa74a5b1bea664": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6e6f901c5b79461791538cf966fe2a88": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a1ce4edb09cb4c1ca6a0e83f797b97af": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "783cb5c63a0c4aeba690939077fb82e0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_fcd30bbc27324015978b34dd5f12b8a5", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_db6b619a007b4bad9e5fb7427ac75bd6", + "IPY_MODEL_94ee0b0d6f824f629771ff206c24460d" + ] + } + }, + "fcd30bbc27324015978b34dd5f12b8a5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "db6b619a007b4bad9e5fb7427ac75bd6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_2537b4c60f8749328a68d9237b71c757", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4e53d930ba144ba7be689e5d441731b9" + } + }, + "94ee0b0d6f824f629771ff206c24460d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_44bb1589aed54a7395c114d3abc398a9", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 37.66it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e84a4afc0c024a2e97d3fcc4d923f73d" + } + }, + "2537b4c60f8749328a68d9237b71c757": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4e53d930ba144ba7be689e5d441731b9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "44bb1589aed54a7395c114d3abc398a9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e84a4afc0c024a2e97d3fcc4d923f73d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8bf978e5d82c4ee6b31287f846f71152": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_58de17d76e8041108216a57888682f63", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_6e6a557756ac4a57ada030e6afbd4254", + "IPY_MODEL_a7d552ae3a9d4495a4ca7955127f7274" + ] + } + }, + "58de17d76e8041108216a57888682f63": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6e6a557756ac4a57ada030e6afbd4254": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_016fa9790ab4488e90f95e52fe5494d5", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_27554c1871dd49e180c08cf17b8eadde" + } + }, + "a7d552ae3a9d4495a4ca7955127f7274": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_b20d6db419444d4cb4ba9cfd9b574ebc", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 64.63it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4a03b31821da4422add8a3596bb072cb" + } + }, + "016fa9790ab4488e90f95e52fe5494d5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "27554c1871dd49e180c08cf17b8eadde": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b20d6db419444d4cb4ba9cfd9b574ebc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "4a03b31821da4422add8a3596bb072cb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "20e3cc6ad5d24915a1d2e60cdeeaee49": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_5883c2a6b97647d7aef25221f369897d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_586080f59ed2407fa841fbc3203c77c4", + "IPY_MODEL_f7fb1703988c4692b89020f6f956e959" + ] + } + }, + "5883c2a6b97647d7aef25221f369897d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "586080f59ed2407fa841fbc3203c77c4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b470c0952ee24ebaa5d4a2f26526d4fa", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6574b9d4766c48a18705621bc6b6bf24" + } + }, + "f7fb1703988c4692b89020f6f956e959": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5db6a3b0b26944d3ac57c53b1512d20c", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 37.93it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_fd70437000b64d85b1c10b95418f9f82" + } + }, + "b470c0952ee24ebaa5d4a2f26526d4fa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6574b9d4766c48a18705621bc6b6bf24": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5db6a3b0b26944d3ac57c53b1512d20c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "fd70437000b64d85b1c10b95418f9f82": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fc98ebe5f4fe4b5f998ef42a6741b4f3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_8ea039549eab44128d885d501fb29d84", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_1d6c90ab2f2749e6ada975de97d296dc", + "IPY_MODEL_e562f3d8459048c68f49e28e2675fc85" + ] + } + }, + "8ea039549eab44128d885d501fb29d84": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1d6c90ab2f2749e6ada975de97d296dc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_d7a0ae546bc24f3f9c7eb245f87fcba9", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c0399ebc5a4849dfa74703f43754b332" + } + }, + "e562f3d8459048c68f49e28e2675fc85": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_14990994b5be45a4adc33f37f127d2de", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 65.06it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f39deedab850465fba6677a236a5a167" + } + }, + "d7a0ae546bc24f3f9c7eb245f87fcba9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c0399ebc5a4849dfa74703f43754b332": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "14990994b5be45a4adc33f37f127d2de": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f39deedab850465fba6677a236a5a167": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b1ad086218924d57a657bc62ab562377": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_e47193480f534e4e8f04cd4c2ad99f83", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2759c2e5914c462d93e8f89c86e96cd8", + "IPY_MODEL_1795c5822d3c4f51a1cab7839a0c8962" + ] + } + }, + "e47193480f534e4e8f04cd4c2ad99f83": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2759c2e5914c462d93e8f89c86e96cd8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_5ce6045e8d714053a55fde7f7675decf", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3cf8355c53a644549e0a84741a24a639" + } + }, + "1795c5822d3c4f51a1cab7839a0c8962": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e4ea0179451f4edfa880896bee98aae3", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 37.53it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8f0512e2a26344c193372957aef3fac7" + } + }, + "5ce6045e8d714053a55fde7f7675decf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "3cf8355c53a644549e0a84741a24a639": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e4ea0179451f4edfa880896bee98aae3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "8f0512e2a26344c193372957aef3fac7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e57c70f6899b4a62ae8a3b1e455a0088": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4d1b576e30f74872bff2e466d6794d2b", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_9bd7e212c0be4ffaa8c12bc2af9e9de2", + "IPY_MODEL_8dc867da811f451591b23509dac979ee" + ] + } + }, + "4d1b576e30f74872bff2e466d6794d2b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9bd7e212c0be4ffaa8c12bc2af9e9de2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_0ef5984027224895b0c138c014385350", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3c12780e0dd64d94b186b8e5960581b5" + } + }, + "8dc867da811f451591b23509dac979ee": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_4b55a213c30943b28b57d65a4f83a057", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 64.91it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f81e476306074f569378c24d3be0a3a1" + } + }, + "0ef5984027224895b0c138c014385350": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "3c12780e0dd64d94b186b8e5960581b5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4b55a213c30943b28b57d65a4f83a057": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f81e476306074f569378c24d3be0a3a1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ac4ab3f9d991423e8448aa5828478da9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_706cbc6107314c718e990baca4f7e3ac", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_7206c35c454b414a931e6ac5577a3141", + "IPY_MODEL_6b23690cb3674806a7ed5f8cd350534b" + ] + } + }, + "706cbc6107314c718e990baca4f7e3ac": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7206c35c454b414a931e6ac5577a3141": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_84cc627692de459786cf4ff8ee343ba5", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a34bc71fc2664d7ebb1be520d7aa49cc" + } + }, + "6b23690cb3674806a7ed5f8cd350534b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_eb3bd570198e466fbbca1a8bac140518", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 34.47it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b7e2e94b895a49acbb29958c83bfd0c2" + } + }, + "84cc627692de459786cf4ff8ee343ba5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "a34bc71fc2664d7ebb1be520d7aa49cc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "eb3bd570198e466fbbca1a8bac140518": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b7e2e94b895a49acbb29958c83bfd0c2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e6558124de904f6e9d221ecdf10c6471": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_7443e45cf86f4f949c6f1aa7c7b78245", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_14dc3de7a5fd40c4be8744624c719525", + "IPY_MODEL_e3d94058f3a44951b64127051393f5fd" + ] + } + }, + "7443e45cf86f4f949c6f1aa7c7b78245": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "14dc3de7a5fd40c4be8744624c719525": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4fdbb76a5b56472f862909f5b5fd4198", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4e12aada00a6404ebd61fe0e6a98918e" + } + }, + "e3d94058f3a44951b64127051393f5fd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_178df2e293ad44408ce580f13c7dbfe9", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 64.27it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b8d73fa0df5e46018e326129c6b9736c" + } + }, + "4fdbb76a5b56472f862909f5b5fd4198": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4e12aada00a6404ebd61fe0e6a98918e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "178df2e293ad44408ce580f13c7dbfe9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b8d73fa0df5e46018e326129c6b9736c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "14bc0c7628294395a134c072c4c8784e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_3759970f3c15460ab0bcd16e829dc676", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_7cec8e89db2545109485c1f9622e192c", + "IPY_MODEL_21dcf213802e4e449067ed3a541e190c" + ] + } + }, + "3759970f3c15460ab0bcd16e829dc676": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7cec8e89db2545109485c1f9622e192c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ae54b126edf247adaa947100b52f51e4", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f13bf539925b4aed805f12b67e452e17" + } + }, + "21dcf213802e4e449067ed3a541e190c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_018d339d8576426eab7573ead98df568", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [1:28:48<00:00, 532.84s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_caf8aa8107d24e998903a1e424ed443f" + } + }, + "ae54b126edf247adaa947100b52f51e4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f13bf539925b4aed805f12b67e452e17": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "018d339d8576426eab7573ead98df568": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "caf8aa8107d24e998903a1e424ed443f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6ef13cf0a625447aaa557f63e458eff4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_e47a84bf997e4d50ae753361a331dd41", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_aa0e60f5cf7e4c318a5021b036acc34d", + "IPY_MODEL_b518523540db4bd88046c6142d1d2f0e" + ] + } + }, + "e47a84bf997e4d50ae753361a331dd41": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "aa0e60f5cf7e4c318a5021b036acc34d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_7d29da9444b54c06a136c033b1c31d72", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_aaf4bf938e4646e7928b6d45f3ab6061" + } + }, + "b518523540db4bd88046c6142d1d2f0e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_72e44742ca424d8193ce3392be0487b4", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:26<00:00, 1.34it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_adc69bc15f2947fcad6b79b0826d8ad0" + } + }, + "7d29da9444b54c06a136c033b1c31d72": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "aaf4bf938e4646e7928b6d45f3ab6061": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "72e44742ca424d8193ce3392be0487b4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "adc69bc15f2947fcad6b79b0826d8ad0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0287f4bb80e4499086335ed9cccc8062": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2c906e091cd64503b75966579c121456", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_0adcd4815eb44c4c8c4c492f13982abe", + "IPY_MODEL_d38a5283c7284197a286e2c1532c8c35" + ] + } + }, + "2c906e091cd64503b75966579c121456": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0adcd4815eb44c4c8c4c492f13982abe": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_90b82ff6fe8d456c90a2ec038430e6a9", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a4dcd851a3af42c29d98cde6a50deed0" + } + }, + "d38a5283c7284197a286e2c1532c8c35": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_bfb691bd373e4505975a2624b27dd92b", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:31<00:00, 3.33it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a172f39248b046c0aa82da2e09e23cd5" + } + }, + "90b82ff6fe8d456c90a2ec038430e6a9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "a4dcd851a3af42c29d98cde6a50deed0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bfb691bd373e4505975a2624b27dd92b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a172f39248b046c0aa82da2e09e23cd5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ec302a2c176046ee99cecbc629ca3661": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_79f6e9512dc44e0cb030382507ea81ce", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_35c414ccd76e4219a1f7824492bd3f7d", + "IPY_MODEL_3789ec246d6c48f8adeb4e4d78f5d896" + ] + } + }, + "79f6e9512dc44e0cb030382507ea81ce": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "35c414ccd76e4219a1f7824492bd3f7d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f0a20ccc2323423a9decfa351320d486", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d13ef374036f487ea48dbbaa02c89088" + } + }, + "3789ec246d6c48f8adeb4e4d78f5d896": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7e4c9d3bd8594543b4cba711a056caca", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:20<00:00, 1.33it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0a2fdf55cb29480d9431d3dc9e663c18" + } + }, + "f0a20ccc2323423a9decfa351320d486": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "d13ef374036f487ea48dbbaa02c89088": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7e4c9d3bd8594543b4cba711a056caca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "0a2fdf55cb29480d9431d3dc9e663c18": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "06be2b28bf6b4801a754e8e972930617": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_643e72f2b92a4166a00dbffca5e4d527", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_24e6d91152f04d6f88dddff120be188f", + "IPY_MODEL_c0671df6a7c94bc69c584eb4c607072e" + ] + } + }, + "643e72f2b92a4166a00dbffca5e4d527": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "24e6d91152f04d6f88dddff120be188f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b6abe28937b44eb6817d5e4b7780639a", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_08f326839f8a4aa9b48c610779b9d6db" + } + }, + "c0671df6a7c94bc69c584eb4c607072e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a47c860828c943a6913f8e60724db9f7", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:32<00:00, 3.35it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_61d501e2d6d2416aae900d704f86bedf" + } + }, + "b6abe28937b44eb6817d5e4b7780639a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "08f326839f8a4aa9b48c610779b9d6db": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a47c860828c943a6913f8e60724db9f7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "61d501e2d6d2416aae900d704f86bedf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "99ce412cdc034381837b31fb6639a17a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_aaf9223609134299b667aafaaa6d1eda", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_eca32dfa0807411a9cba71512f4c7b0e", + "IPY_MODEL_9578bf559dbb4ecbb8e2ca3bcde58a93" + ] + } + }, + "aaf9223609134299b667aafaaa6d1eda": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "eca32dfa0807411a9cba71512f4c7b0e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4bc2981a8c4242088493a776b5229d46", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_dc8fed11cc96457391457577d94d4908" + } + }, + "9578bf559dbb4ecbb8e2ca3bcde58a93": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_78e4355c695844009b41a6fc71e9dc1c", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:20<00:00, 1.33it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a3d2721aeef140baa3fb015ec232f2c2" + } + }, + "4bc2981a8c4242088493a776b5229d46": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "dc8fed11cc96457391457577d94d4908": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "78e4355c695844009b41a6fc71e9dc1c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a3d2721aeef140baa3fb015ec232f2c2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b0a4dccace2541fb93b6fa6bae1831d1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_733f3682271a4cb48fe33b978e4abb88", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ee645e47ef74405eb616f600c9a336a5", + "IPY_MODEL_302c52ebe93b47fea68e6d92dcaade8c" + ] + } + }, + "733f3682271a4cb48fe33b978e4abb88": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ee645e47ef74405eb616f600c9a336a5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a162e355dfc44502b789382e66beb271", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a04d7abe5a1e468a8ac9c2886226a1b1" + } + }, + "302c52ebe93b47fea68e6d92dcaade8c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_106d79a5ccd643dfabd57ca3afa1283e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:32<00:00, 3.35it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_74e1cc3cfe3a4e49ba770af9323324cd" + } + }, + "a162e355dfc44502b789382e66beb271": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "a04d7abe5a1e468a8ac9c2886226a1b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "106d79a5ccd643dfabd57ca3afa1283e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "74e1cc3cfe3a4e49ba770af9323324cd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "81a316e829a94d3e9e89063dfb2e709e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_caa0b95efe6847959592baa9b659aed4", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ca4cb2b8feb041f49e24a51af99daba8", + "IPY_MODEL_12fe4a8b51cf4f2b921328a23f1bb6a5" + ] + } + }, + "caa0b95efe6847959592baa9b659aed4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ca4cb2b8feb041f49e24a51af99daba8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_64925efc502649fcbc77c6e07d757c7e", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2967ed92ab35481cbc9f30e1e0097c8f" + } + }, + "12fe4a8b51cf4f2b921328a23f1bb6a5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5f4a7c5bc70542c78dde1e5d45f6759b", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:21<00:00, 1.33it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d38ec3d71728469890b96ecab4cf28c7" + } + }, + "64925efc502649fcbc77c6e07d757c7e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2967ed92ab35481cbc9f30e1e0097c8f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5f4a7c5bc70542c78dde1e5d45f6759b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "d38ec3d71728469890b96ecab4cf28c7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d83605832c8c467aa47b228d724122e7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_869ba7efb10046eb9cb92003f5ebc3cb", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_e85ce81024d0432d865977e53ec68e6a", + "IPY_MODEL_133c079cec1a410fb56afb2a091fde9b" + ] + } + }, + "869ba7efb10046eb9cb92003f5ebc3cb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e85ce81024d0432d865977e53ec68e6a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_2d2d2f4ab62143139c77817e09b6fcfc", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_142bf8c80a4b4f5d96cf3cf3f0da8d3b" + } + }, + "133c079cec1a410fb56afb2a091fde9b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a02cdddf95b945dd84707238924b8e18", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:32<00:00, 3.34it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b7f2eb5513d54c59bb44c9785394661d" + } + }, + "2d2d2f4ab62143139c77817e09b6fcfc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "142bf8c80a4b4f5d96cf3cf3f0da8d3b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a02cdddf95b945dd84707238924b8e18": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b7f2eb5513d54c59bb44c9785394661d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "518a11fda6254a17b2c84da31fcb5cb1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_7da9392e0972404ea14e150159de8555", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4f844c6733444dbe84ade019d69d1898", + "IPY_MODEL_d1d0c6e30f7c411d99562fd8d0affebc" + ] + } + }, + "7da9392e0972404ea14e150159de8555": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4f844c6733444dbe84ade019d69d1898": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_8692fc131ed84d3d9204d5b46c14b99d", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_fbca1f449bbe43c9809146438dfc28ee" + } + }, + "d1d0c6e30f7c411d99562fd8d0affebc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5841fbc6db0c46c1b4d8ca136f822b9c", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:19<00:00, 1.33it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e6167f899ef44e25aca84cc974441d29" + } + }, + "8692fc131ed84d3d9204d5b46c14b99d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "fbca1f449bbe43c9809146438dfc28ee": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5841fbc6db0c46c1b4d8ca136f822b9c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e6167f899ef44e25aca84cc974441d29": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ee0cd3aa48cd47cd905b60305735fb9a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_cc04b8ca09574e8d9d351fce49e3b99b", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_181cdcbac1aa4933bd1d402b3731620b", + "IPY_MODEL_03202b241781429fbc87674d97ece85b" + ] + } + }, + "cc04b8ca09574e8d9d351fce49e3b99b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "181cdcbac1aa4933bd1d402b3731620b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_2cf9851fcd784977a9b8ab0540ce5c5b", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c25b79344d1247ef95cad0182925d8bf" + } + }, + "03202b241781429fbc87674d97ece85b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5977f3dc7aa14d39adbed908ef121486", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:32<00:00, 3.25it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a3ee710467904dffa0cf7e70e2daea12" + } + }, + "2cf9851fcd784977a9b8ab0540ce5c5b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c25b79344d1247ef95cad0182925d8bf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5977f3dc7aa14d39adbed908ef121486": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a3ee710467904dffa0cf7e70e2daea12": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8bbd17647296470c8e246b2636974ed9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d5eda40ae9554305990e79d80b14a2d9", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_f375c6bd537144e0917e8ae4ad1016a1", + "IPY_MODEL_e6863a3f277d426eb8bee2534c647a95" + ] + } + }, + "d5eda40ae9554305990e79d80b14a2d9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f375c6bd537144e0917e8ae4ad1016a1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a00841f2de4441538a47eba8faf52adb", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ef421371d22e4a7fa14580101f8eba30" + } + }, + "e6863a3f277d426eb8bee2534c647a95": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_d31c93cfd62a49c4a481ee4e5dafd023", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:20<00:00, 1.33it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6a035b2626e34409a3ab7962c5399914" + } + }, + "a00841f2de4441538a47eba8faf52adb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ef421371d22e4a7fa14580101f8eba30": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d31c93cfd62a49c4a481ee4e5dafd023": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "6a035b2626e34409a3ab7962c5399914": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "589624bb78a2418582e2e301778a7c11": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2744791db4054c8f94ee010bcb6310f6", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_1aad5be02f6442d297f1420bf6c53372", + "IPY_MODEL_0133b6f39b884bb7bc040423ae8f5d7b" + ] + } + }, + "2744791db4054c8f94ee010bcb6310f6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1aad5be02f6442d297f1420bf6c53372": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_613d1abfcb9144de914d450e87088ade", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_efc4723c3d0c483e95130d4007691ec2" + } + }, + "0133b6f39b884bb7bc040423ae8f5d7b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9b50529485854d3d8cfbe1adbeb22374", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:32<00:00, 3.33it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e39fe9f1c3464b72bc5bc623eb210711" + } + }, + "613d1abfcb9144de914d450e87088ade": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "efc4723c3d0c483e95130d4007691ec2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9b50529485854d3d8cfbe1adbeb22374": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e39fe9f1c3464b72bc5bc623eb210711": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5d06d4e1acbe4a37a529c7913923c9d4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_8f1e13d7bae447dfa56c2ab6ed2feb5b", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_175ab6fa24b14113a43c1e95f664feda", + "IPY_MODEL_516396abe33342d088b4aa862af188d4" + ] + } + }, + "8f1e13d7bae447dfa56c2ab6ed2feb5b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "175ab6fa24b14113a43c1e95f664feda": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_75c30685d49d487497adcc21b431a404", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_cc46b5ca21474c1ba68782ee4fa365ca" + } + }, + "516396abe33342d088b4aa862af188d4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_58c5dfefcf9d4113a34b48084d1d1966", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:20<00:00, 1.34it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_17a0bd80d617469db7fde545abe786c3" + } + }, + "75c30685d49d487497adcc21b431a404": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "cc46b5ca21474c1ba68782ee4fa365ca": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "58c5dfefcf9d4113a34b48084d1d1966": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "17a0bd80d617469db7fde545abe786c3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ddce83ea88c0488183c69d3b14ac381f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_584a9f0130804766b51aa468b344fdd2", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_045910fc6a7242cc996d893a714470f1", + "IPY_MODEL_863eb306f67143e79f9eaae61a684e05" + ] + } + }, + "584a9f0130804766b51aa468b344fdd2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "045910fc6a7242cc996d893a714470f1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a86cb1f9a98747be87a12e77bc241edf", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a73721844fab4c12a29b17583714638c" + } + }, + "863eb306f67143e79f9eaae61a684e05": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9532ce4a73784656bae3d701d48be763", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:32<00:00, 3.34it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_91dc02521840439099f3d06d47b78405" + } + }, + "a86cb1f9a98747be87a12e77bc241edf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "a73721844fab4c12a29b17583714638c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9532ce4a73784656bae3d701d48be763": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "91dc02521840439099f3d06d47b78405": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b0f6b5e54c604feaadaf0fba732b1232": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_0c9add8be30445a7a36a4913dfe596c7", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_79df54f071f54686aa0b53c1d18913fa", + "IPY_MODEL_06b907f254794626b92f17a553b35f12" + ] + } + }, + "0c9add8be30445a7a36a4913dfe596c7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "79df54f071f54686aa0b53c1d18913fa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_919de264873a4eb8b0ef13d2c0c3bd8d", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f09c3dbb9867428daa61721b75daed29" + } + }, + "06b907f254794626b92f17a553b35f12": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_24dc35f9d2684f3c9e0a5dc3e0f56ec7", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:19<00:00, 1.33it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_336e38f6008c4b4a864e565fea60ab19" + } + }, + "919de264873a4eb8b0ef13d2c0c3bd8d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f09c3dbb9867428daa61721b75daed29": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "24dc35f9d2684f3c9e0a5dc3e0f56ec7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "336e38f6008c4b4a864e565fea60ab19": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5fd1ac925350460e8161562cfd833b7e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_cc884b2fbdf2402da8593ccbaa1d62b9", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_78c29da5065945e2b7ad107836841828", + "IPY_MODEL_df06f45573ed4f5ab97695ac6709e852" + ] + } + }, + "cc884b2fbdf2402da8593ccbaa1d62b9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "78c29da5065945e2b7ad107836841828": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_0ddccf16b11d4a2f918a644b6a76e76e", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0a5f62b5442b40e9ae02ccb6260acdb0" + } + }, + "df06f45573ed4f5ab97695ac6709e852": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c9778164228447f8844c0c0ea07c10ec", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:31<00:00, 3.35it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e5bf07ec8cd0454786b7d9358bd01beb" + } + }, + "0ddccf16b11d4a2f918a644b6a76e76e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "0a5f62b5442b40e9ae02ccb6260acdb0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c9778164228447f8844c0c0ea07c10ec": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e5bf07ec8cd0454786b7d9358bd01beb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3247a855148c4f2cb5883a2b6b1c705e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_98e26fbd7ada4c7b8ef1126e9b99b075", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_54fc5daccaf4430188795762d2df08e1", + "IPY_MODEL_3edfe177be7949afa0e9053aecd2ae08" + ] + } + }, + "98e26fbd7ada4c7b8ef1126e9b99b075": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "54fc5daccaf4430188795762d2df08e1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_7f2fd908251f4becb7b5dd694fb75cf0", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3032fdc7002d415c92a4dfe53218b425" + } + }, + "3edfe177be7949afa0e9053aecd2ae08": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_181c8bfd22e3437487c2e339318986d6", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:18<00:00, 1.34it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_691b85d597d34cccb2d853f6fce079a8" + } + }, + "7f2fd908251f4becb7b5dd694fb75cf0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "3032fdc7002d415c92a4dfe53218b425": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "181c8bfd22e3437487c2e339318986d6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "691b85d597d34cccb2d853f6fce079a8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a51ea61151234aca8111369a42ac9897": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_0359769efc7546849d3de64143f63c80", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4082c64a32b446a0bffbe33d3eb39749", + "IPY_MODEL_866bc97a0e514e23aac2720dced10fdb" + ] + } + }, + "0359769efc7546849d3de64143f63c80": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4082c64a32b446a0bffbe33d3eb39749": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_edd51ed1972a4803976e61366ab22fd2", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_804cc9a0d62d4ad5bf705e982dc50883" + } + }, + "866bc97a0e514e23aac2720dced10fdb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c3feee95fc4f48a0bfba8cfa6be086dd", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:31<00:00, 3.31it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0ea8f39495f541b294ee4247f7544d9a" + } + }, + "edd51ed1972a4803976e61366ab22fd2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "804cc9a0d62d4ad5bf705e982dc50883": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c3feee95fc4f48a0bfba8cfa6be086dd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "0ea8f39495f541b294ee4247f7544d9a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c97999a53488479fbbbc83b50883660f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_8572395519ff41368dc9d694a73e613d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_573babb0e88b4d20b1f1e6572749c12e", + "IPY_MODEL_a05883c0d5414b45915b7f498ddb3c4a" + ] + } + }, + "8572395519ff41368dc9d694a73e613d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "573babb0e88b4d20b1f1e6572749c12e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f21757fc7e6f4aeca52b6b311f4069c6", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3a917c438251493bbfd18a75901ea22f" + } + }, + "a05883c0d5414b45915b7f498ddb3c4a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_055c5fee2d994f319446a5346b3f3695", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:18<00:00, 1.34it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_03fd41caff7b420883ef9fcb946c58e5" + } + }, + "f21757fc7e6f4aeca52b6b311f4069c6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "3a917c438251493bbfd18a75901ea22f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "055c5fee2d994f319446a5346b3f3695": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "03fd41caff7b420883ef9fcb946c58e5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "55e24622a9964d3d8f7ac4a03f2f1d32": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_f32c3c81ab024b0883c760ef6cac780e", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_b5dc7ea11cf3400587f7499f9ede58cc", + "IPY_MODEL_4ecda2f15e024799bcde58d957a8724f" + ] + } + }, + "f32c3c81ab024b0883c760ef6cac780e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b5dc7ea11cf3400587f7499f9ede58cc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_40a7dca569e24d098ef4e4bc9aa8d354", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1ba13db055d64d50b8527b0a2ef090db" + } + }, + "4ecda2f15e024799bcde58d957a8724f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_cca30af424c149d1997606c15cb4a183", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:31<00:00, 3.32it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1a3e5433c73243279656c686fa9a26db" + } + }, + "40a7dca569e24d098ef4e4bc9aa8d354": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "1ba13db055d64d50b8527b0a2ef090db": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cca30af424c149d1997606c15cb4a183": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "1a3e5433c73243279656c686fa9a26db": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "36e282f2fe1f447188520d98958a236b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d8b3eb8dd24d4615aa83d011dad7fca8", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_454a5285c29843d6b0b307a472478b43", + "IPY_MODEL_aa04457cad79450eb6c632c063fb3092" + ] + } + }, + "d8b3eb8dd24d4615aa83d011dad7fca8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "454a5285c29843d6b0b307a472478b43": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_bc970cdbaf6f49388023880319a1ccdc", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_95122f1596184d17aa5ef2325fa4e475" + } + }, + "aa04457cad79450eb6c632c063fb3092": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_411b6a0ec9c94022b10cf3eed218e812", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [09:26<00:00, 56.62s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_cf0a1abbc9f84ec19306f4bf407f8372" + } + }, + "bc970cdbaf6f49388023880319a1ccdc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "95122f1596184d17aa5ef2325fa4e475": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "411b6a0ec9c94022b10cf3eed218e812": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "cf0a1abbc9f84ec19306f4bf407f8372": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "eefed54f40b6447fb19bd478e6bc5c9c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_b69ea289879146d0bad6d52b2c8d4a92", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_8af715bd24ed41158894ceb0d9245eaf", + "IPY_MODEL_4d1fcb45a25e46a38eb7642866185f48" + ] + } + }, + "b69ea289879146d0bad6d52b2c8d4a92": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8af715bd24ed41158894ceb0d9245eaf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_730cdd7946ef4705abcde56a8880b1af", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_bcabd5f0209843c5bc2e2f071cb9c4cc" + } + }, + "4d1fcb45a25e46a38eb7642866185f48": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_ebca69d37959486e9d68fa5a901567be", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 39.27it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_80628fffdd894ff0ad4b2461ae2c11da" + } + }, + "730cdd7946ef4705abcde56a8880b1af": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "bcabd5f0209843c5bc2e2f071cb9c4cc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ebca69d37959486e9d68fa5a901567be": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "80628fffdd894ff0ad4b2461ae2c11da": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "abbc0cee771d426f830ce1c530e92da8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_ebf1f068ead54f25be4d706c7a3bd53d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_c088fe944bec4837927ad65d6975b15a", + "IPY_MODEL_1903ec80a65445578d54e445ed573f0e" + ] + } + }, + "ebf1f068ead54f25be4d706c7a3bd53d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c088fe944bec4837927ad65d6975b15a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f9751ed48e66453591ca00c0a739a305", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d71e18bb75cb44b7a0f628ad2aa254aa" + } + }, + "1903ec80a65445578d54e445ed573f0e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5bc2b9fabfe74e8e84a0b6050f8014a8", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:06<00:00, 70.21it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_da6d0ba7bd6d49209237ff11dbb5d5a3" + } + }, + "f9751ed48e66453591ca00c0a739a305": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "d71e18bb75cb44b7a0f628ad2aa254aa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5bc2b9fabfe74e8e84a0b6050f8014a8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "da6d0ba7bd6d49209237ff11dbb5d5a3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a11c98caceee47a998bfc2b63cb5a6db": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_8744be2801d245978ee9a7f63a3e917b", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_f3fa6bf425664d59b303c1b7265741d7", + "IPY_MODEL_6df5174db77643bd80428d4721aa17f5" + ] + } + }, + "8744be2801d245978ee9a7f63a3e917b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f3fa6bf425664d59b303c1b7265741d7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_0d9f218757834f55ac872500ee4fc80b", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9c07e3675ee64923a20c9bc4c75acbcd" + } + }, + "6df5174db77643bd80428d4721aa17f5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_f5a2aab2b2114917b48eb0a85b675d75", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 38.47it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1287bd673e0c411da084455a0fc7197f" + } + }, + "0d9f218757834f55ac872500ee4fc80b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "9c07e3675ee64923a20c9bc4c75acbcd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f5a2aab2b2114917b48eb0a85b675d75": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "1287bd673e0c411da084455a0fc7197f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0b2e2590d3694e9a824101d70178b41a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_8c8522dca3f94d2db2f6eabaa4ec57a3", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4ee74e530e5d42eb83630b537dd8c791", + "IPY_MODEL_6a7a9288492d49b78b430b53cb7a2469" + ] + } + }, + "8c8522dca3f94d2db2f6eabaa4ec57a3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4ee74e530e5d42eb83630b537dd8c791": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_2ee1497395914cc383db90c9c9a2c6b4", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1a902c5fd4e44429bc34b12bab82f32c" + } + }, + "6a7a9288492d49b78b430b53cb7a2469": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_de4fa77293974b18abac57d877c7dacb", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:06<00:00, 68.93it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_22d0aaf397c840bc8f21fca97238b319" + } + }, + "2ee1497395914cc383db90c9c9a2c6b4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "1a902c5fd4e44429bc34b12bab82f32c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "de4fa77293974b18abac57d877c7dacb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "22d0aaf397c840bc8f21fca97238b319": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "813951bec2334fbaacfb2591590741f7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_e6d4eede14874615b3aecf9136effab8", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_d0230c36f28f4b288d9ad237ae3caf75", + "IPY_MODEL_619eae71b6de4a18af201aadf392a0c7" + ] + } + }, + "e6d4eede14874615b3aecf9136effab8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d0230c36f28f4b288d9ad237ae3caf75": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_5d04fa1559ae4a8c9b43c0d43573c8ff", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_13079c2f5d704993a823c124574842cb" + } + }, + "619eae71b6de4a18af201aadf392a0c7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a5f1a699d13a4984a98b15582f0fdec2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 38.98it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3c8eeb89c3144c69bd195f7a5ca34e76" + } + }, + "5d04fa1559ae4a8c9b43c0d43573c8ff": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "13079c2f5d704993a823c124574842cb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a5f1a699d13a4984a98b15582f0fdec2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "3c8eeb89c3144c69bd195f7a5ca34e76": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "61eec44b53974e6a950728fdae577d5b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_5dac42a336ea448594186cf773c3fe69", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_56fa57d00c3642c3bd0a977eafd839ef", + "IPY_MODEL_075149c076034155b0dccc7cccc57add" + ] + } + }, + "5dac42a336ea448594186cf773c3fe69": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "56fa57d00c3642c3bd0a977eafd839ef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_e0afc479a85046dcb55d053bf7b59705", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5dab52cd334d456cbb9e5f4a6100a31a" + } + }, + "075149c076034155b0dccc7cccc57add": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_1800c13854d44d8fa5e11f516007c955", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 57.93it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7bffd3a1e52d401c93a230fe1aeadada" + } + }, + "e0afc479a85046dcb55d053bf7b59705": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5dab52cd334d456cbb9e5f4a6100a31a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1800c13854d44d8fa5e11f516007c955": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "7bffd3a1e52d401c93a230fe1aeadada": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0fcba680a2a8487eb60af062a5fe0895": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_75c22b2d5b7349ada6b2e18fa4ceed72", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_0c7ad0b140e7497f8bd6c633669322db", + "IPY_MODEL_898ef6ecc0ae4ddeb17cd3f4220c9220" + ] + } + }, + "75c22b2d5b7349ada6b2e18fa4ceed72": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0c7ad0b140e7497f8bd6c633669322db": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_6320e09c04e54f01b43677363e587211", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_de95ce9dfa5b4d6f950ca54abb59614e" + } + }, + "898ef6ecc0ae4ddeb17cd3f4220c9220": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_0b3f4a8968ff476d869863cda5866f55", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:11<00:00, 40.35it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3c271af491c34b1eb1a1bfaef21544f6" + } + }, + "6320e09c04e54f01b43677363e587211": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "de95ce9dfa5b4d6f950ca54abb59614e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0b3f4a8968ff476d869863cda5866f55": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "3c271af491c34b1eb1a1bfaef21544f6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "978007416ee343a3a5baa90a6d6d1c13": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_e083a4ff24144de09c6fe4471507e2a1", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_f34b64e1735d409795ea059f88fb5742", + "IPY_MODEL_f9d869b2280e420d8d3bdd9907b1e862" + ] + } + }, + "e083a4ff24144de09c6fe4471507e2a1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f34b64e1735d409795ea059f88fb5742": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b1b7b4e8080d48209ab532b3396aec3b", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7f82b1f335a04e95bcf6944d86692606" + } + }, + "f9d869b2280e420d8d3bdd9907b1e862": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_1916de4f578b464b9d2fbe202dfb0e88", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:06<00:00, 69.31it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a8e33e7888e74841b05ee628313e1dfd" + } + }, + "b1b7b4e8080d48209ab532b3396aec3b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "7f82b1f335a04e95bcf6944d86692606": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1916de4f578b464b9d2fbe202dfb0e88": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a8e33e7888e74841b05ee628313e1dfd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2b5cd55552df4845aeb1130bb01cff45": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2a069e647a714d389c7221d58372f586", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3ed4edb15987413c8cc40721a2762370", + "IPY_MODEL_68b22460897c447b91cde495f9e02e84" + ] + } + }, + "2a069e647a714d389c7221d58372f586": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3ed4edb15987413c8cc40721a2762370": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_14fc4a41eea6411ebf83f17678567322", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a1d2c7066b6b4e189faeea70c4117fef" + } + }, + "68b22460897c447b91cde495f9e02e84": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_07589740eeb647cbb08263c2a230c5cb", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 38.06it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_bb94a5bc85ba45968a0f8a85b8f2c9b8" + } + }, + "14fc4a41eea6411ebf83f17678567322": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "a1d2c7066b6b4e189faeea70c4117fef": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "07589740eeb647cbb08263c2a230c5cb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "bb94a5bc85ba45968a0f8a85b8f2c9b8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "53b0cdb5e53e41cb96601f1ce2267d40": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_ea7cefae57a7440da4cd136a7fd906a9", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_822c8e5d685d493b92aaffe602a90a61", + "IPY_MODEL_323fb7b5ffd249c5b6554af88e12df40" + ] + } + }, + "ea7cefae57a7440da4cd136a7fd906a9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "822c8e5d685d493b92aaffe602a90a61": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_0eadc14ffe0b426d9ba6810d1a8360c5", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_12baa06a6fc743e5a637cf3e0d78a2ce" + } + }, + "323fb7b5ffd249c5b6554af88e12df40": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_88ef1ecf3e134d46b5c013c1c3efd506", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 66.08it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_00575e455cd6486bbd4046937fc26ab5" + } + }, + "0eadc14ffe0b426d9ba6810d1a8360c5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "12baa06a6fc743e5a637cf3e0d78a2ce": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "88ef1ecf3e134d46b5c013c1c3efd506": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "00575e455cd6486bbd4046937fc26ab5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "989b99628bf040e18978147f055ae502": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4153f44a24554e0db180de1a9594425c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_e5c395ff140c4ca7a531fd9d62ea9685", + "IPY_MODEL_c63364090d1b46c6bd09e7f4953bb808" + ] + } + }, + "4153f44a24554e0db180de1a9594425c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e5c395ff140c4ca7a531fd9d62ea9685": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b8a8b2f1243641ca9e99d1c2c7d817fc", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e41e4c1a5d9a4f4293cf3915e0fed978" + } + }, + "c63364090d1b46c6bd09e7f4953bb808": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_8346ae19f7f24cc4a6dece17a312fa40", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 35.70it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_41fa96f1e2014eedad5e9c8c07a1f2c0" + } + }, + "b8a8b2f1243641ca9e99d1c2c7d817fc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e41e4c1a5d9a4f4293cf3915e0fed978": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8346ae19f7f24cc4a6dece17a312fa40": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "41fa96f1e2014eedad5e9c8c07a1f2c0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ed68b4b99f564bd5a340c2d43c1a0553": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_c17970dd74c344bfa914a6c9c7da2c10", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4931be9c8d144376b3d54056476570fd", + "IPY_MODEL_8658997f8a3a4bce962ab30031019d86" + ] + } + }, + "c17970dd74c344bfa914a6c9c7da2c10": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4931be9c8d144376b3d54056476570fd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_39b6e349bcb64f2ab2b75719bd2a9f3d", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c854a43ddce7412999b75ed62eb9045d" + } + }, + "8658997f8a3a4bce962ab30031019d86": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5410493100e949378619b5b98a86c437", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 56.52it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_630b7fcc5f804f4cab2e85a9f27fae73" + } + }, + "39b6e349bcb64f2ab2b75719bd2a9f3d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c854a43ddce7412999b75ed62eb9045d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5410493100e949378619b5b98a86c437": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "630b7fcc5f804f4cab2e85a9f27fae73": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e392d0acb13e4fc982cff59f19fdf2ab": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_b7d02e8e31e74f92820933aa7a55e4f0", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a38602cf2a1944818d74c91860ff0b70", + "IPY_MODEL_3a78a7c398ad4da98f372df3b11b29cc" + ] + } + }, + "b7d02e8e31e74f92820933aa7a55e4f0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a38602cf2a1944818d74c91860ff0b70": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_e7acdadeb4804efc955fa6d087d9f7c6", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6f1145b053164d8d8e1d183328419974" + } + }, + "3a78a7c398ad4da98f372df3b11b29cc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_dc499113aaf144daa928945efdfb4bee", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 39.55it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9f5beb39913145ceb940527eba66de1e" + } + }, + "e7acdadeb4804efc955fa6d087d9f7c6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6f1145b053164d8d8e1d183328419974": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "dc499113aaf144daa928945efdfb4bee": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9f5beb39913145ceb940527eba66de1e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "01f52fa08edc4211ae71d33d80595bcd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_1b486e89662c4101ad94dfdde5c72e31", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_8e9954cd6a8548a3b06d5ae38b56fc30", + "IPY_MODEL_4142846497064f0197ed9be38a929594" + ] + } + }, + "1b486e89662c4101ad94dfdde5c72e31": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8e9954cd6a8548a3b06d5ae38b56fc30": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4a51abbe52754d8fb5b6cb89da19adcd", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_366225fdb3e74e0b8f2079660c6201f3" + } + }, + "4142846497064f0197ed9be38a929594": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_b211c5210a4048c9b54fa0746bd54b11", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:06<00:00, 70.04it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_cd169eddedc14d7c8d0e8c0b5f279842" + } + }, + "4a51abbe52754d8fb5b6cb89da19adcd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "366225fdb3e74e0b8f2079660c6201f3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b211c5210a4048c9b54fa0746bd54b11": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "cd169eddedc14d7c8d0e8c0b5f279842": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "32aa417404a3499aa69590eb9e82986a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_b50e492d8f0147b69ee23d4873473434", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_590326346397497ebbd178061f2d4baf", + "IPY_MODEL_ab1c17ab00c048c1a2b57d56dbcfb356" + ] + } + }, + "b50e492d8f0147b69ee23d4873473434": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "590326346397497ebbd178061f2d4baf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_8cbfc50912324e1e87c5f28f2e1b4f24", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_96f3ca898b9f477792386a6550481fad" + } + }, + "ab1c17ab00c048c1a2b57d56dbcfb356": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_4a6bd9ffde414f779e481ec9bad9b0bc", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 38.82it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a92eefb7f18547e1923dc8a448f6116f" + } + }, + "8cbfc50912324e1e87c5f28f2e1b4f24": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "96f3ca898b9f477792386a6550481fad": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4a6bd9ffde414f779e481ec9bad9b0bc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a92eefb7f18547e1923dc8a448f6116f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "341d2031b2d84d5bbba1322788010e37": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_f3cb986e63464bb7862404fd80923700", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_885ba8bb659f4c578eb7575f82acbc84", + "IPY_MODEL_3b9817cf7c1f4c2fbdce47024d197934" + ] + } + }, + "f3cb986e63464bb7862404fd80923700": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "885ba8bb659f4c578eb7575f82acbc84": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_6dbca2b3ac864647b33991bf110cbedc", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_504a0a6461254bafb169332c4779348e" + } + }, + "3b9817cf7c1f4c2fbdce47024d197934": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_49649ffd54d2499996d3b7df8cb15c5a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:06<00:00, 68.04it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_267b1f1fe64f43a8897b3bbdd64500d4" + } + }, + "6dbca2b3ac864647b33991bf110cbedc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "504a0a6461254bafb169332c4779348e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "49649ffd54d2499996d3b7df8cb15c5a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "267b1f1fe64f43a8897b3bbdd64500d4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c700a020d5054626b9f80f0c2958e6f7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_fd47a47c7e854e8a833e25c7afdf0e07", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3a99370681af4160a6ce141a9f908fc0", + "IPY_MODEL_1e89239dc9c94fbd995358b0d7b4aaf3" + ] + } + }, + "fd47a47c7e854e8a833e25c7afdf0e07": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3a99370681af4160a6ce141a9f908fc0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_211ce523b65f4d0084ba380808d74eaa", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b8550abe45b3449b812b8c5f26da9a88" + } + }, + "1e89239dc9c94fbd995358b0d7b4aaf3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_714afe0955854637926ebc2533f82cfc", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 38.09it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a0f1b92e43964e17b307f4c14bb3c858" + } + }, + "211ce523b65f4d0084ba380808d74eaa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "b8550abe45b3449b812b8c5f26da9a88": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "714afe0955854637926ebc2533f82cfc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a0f1b92e43964e17b307f4c14bb3c858": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "35074de647314a328ac0247f2f0c647f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4b34575665cf416da28fcfa569248040", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_5e4720ad6abf4b5cad468c421459d786", + "IPY_MODEL_50a6fc3adbf4491199c337f9569e0a5b" + ] + } + }, + "4b34575665cf416da28fcfa569248040": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5e4720ad6abf4b5cad468c421459d786": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_9feffa3e329d425fa663a2d101b01429", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_af95426d99f047b1bb3c23c8f430cc8a" + } + }, + "50a6fc3adbf4491199c337f9569e0a5b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_402220d4c0c64cf3aaeec620a748c38a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:06<00:00, 64.80it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_530e30f4ba284d45af3eafdcd7bd774e" + } + }, + "9feffa3e329d425fa663a2d101b01429": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "af95426d99f047b1bb3c23c8f430cc8a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "402220d4c0c64cf3aaeec620a748c38a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "530e30f4ba284d45af3eafdcd7bd774e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c1a4815984d049c39c4c38c29e5a6b3b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9e34bb3f6d2b46bdab764e2400fa8a85", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_d1ff909aceb84fd6a49945d575270be0", + "IPY_MODEL_6e1d7a595ca54f0aa4df67820ef0263e" + ] + } + }, + "9e34bb3f6d2b46bdab764e2400fa8a85": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d1ff909aceb84fd6a49945d575270be0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_681b243ce9764decb9c4ba85f1979ad4", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9921eec038d94cc3bb4072f069e160e9" + } + }, + "6e1d7a595ca54f0aa4df67820ef0263e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e7b5689438084fc3842eea5f7af65aa9", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:12<00:00, 39.50it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b929f782fd7f4d88b1cf1e7d17dd7322" + } + }, + "681b243ce9764decb9c4ba85f1979ad4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "9921eec038d94cc3bb4072f069e160e9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e7b5689438084fc3842eea5f7af65aa9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b929f782fd7f4d88b1cf1e7d17dd7322": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bfef7035c78d44b3abef8632aa00bd88": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_24a94844433243938f69773d34bc25d4", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_525fcbf3225649ffa2be68f15962ccf1", + "IPY_MODEL_56744a16325243e5a4332b11b97ef93d" + ] + } + }, + "24a94844433243938f69773d34bc25d4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "525fcbf3225649ffa2be68f15962ccf1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_68269e8d56814f65912e5ac24fbba497", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ed59c4780e4e4091a23ee6680d3afc30" + } + }, + "56744a16325243e5a4332b11b97ef93d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_3ab603c8d91b4da89fcb72a9f4a7588a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:06<00:00, 63.02it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_920eb55d61204b46b47995c581784c39" + } + }, + "68269e8d56814f65912e5ac24fbba497": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ed59c4780e4e4091a23ee6680d3afc30": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3ab603c8d91b4da89fcb72a9f4a7588a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "920eb55d61204b46b47995c581784c39": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6cd44851c7a94deabb2edc5c4c1ce22c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_96724835141a463cacbecf6e9af0d62f", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_5581fad4617d4cfc88c8bf767af833ea", + "IPY_MODEL_ac4c2aeb06fe46a1b54b2e5ec02e0067" + ] + } + }, + "96724835141a463cacbecf6e9af0d62f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5581fad4617d4cfc88c8bf767af833ea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_80d94d2665df40a4903e1d4c31835415", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_72e717a6c5ff43faa4a98763b4c38d02" + } + }, + "ac4c2aeb06fe46a1b54b2e5ec02e0067": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_62e0fa91ff2d4b819ea25a79ef3c714a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [1:26:14<00:00, 517.47s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e65bdbc023e44d49b6aa2bbd267a00a8" + } + }, + "80d94d2665df40a4903e1d4c31835415": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "72e717a6c5ff43faa4a98763b4c38d02": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "62e0fa91ff2d4b819ea25a79ef3c714a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e65bdbc023e44d49b6aa2bbd267a00a8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c50ff7029b9b4a37a4bea222a4869419": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_613fb15436ac4cc4a38e2c2459b22d86", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_50eacadb60a04982ae3d08d1beb79481", + "IPY_MODEL_4099866adeed4a97994ecfb37b877c23" + ] + } + }, + "613fb15436ac4cc4a38e2c2459b22d86": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "50eacadb60a04982ae3d08d1beb79481": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c5c29564adb1437aa08b0c1304b9a7a8", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e0d7ef53419b4baf81ffa9238058be1d" + } + }, + "4099866adeed4a97994ecfb37b877c23": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_8e8495a0118f4d169ec8bf85af0d8d81", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:02<00:00, 1.39it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5ffd1cae3af14c58a0e52d72964194c7" + } + }, + "c5c29564adb1437aa08b0c1304b9a7a8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e0d7ef53419b4baf81ffa9238058be1d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8e8495a0118f4d169ec8bf85af0d8d81": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "5ffd1cae3af14c58a0e52d72964194c7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c88193105be54420b89b531b735b42a6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_ae8a214f9e5a4507a042b6a0e80b28d1", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_1e1904250b964399bf3688f49a1edc5a", + "IPY_MODEL_becf84a74b5a4732ac7afa406632644e" + ] + } + }, + "ae8a214f9e5a4507a042b6a0e80b28d1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1e1904250b964399bf3688f49a1edc5a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_1e20ca1104b14d97abf3b4666a49f17c", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_19638cebe51b4753a56c7685c71d65df" + } + }, + "becf84a74b5a4732ac7afa406632644e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_0e83d80f95b74897a0102d5d6fa27265", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:15<00:00, 3.73it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8268d5f45f3348cc91620ff40f141d9c" + } + }, + "1e20ca1104b14d97abf3b4666a49f17c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "19638cebe51b4753a56c7685c71d65df": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0e83d80f95b74897a0102d5d6fa27265": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "8268d5f45f3348cc91620ff40f141d9c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1f8fe2d273b14133ae23f0d354091abb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_f40fe3eff4224c389c44f95c6c1d8198", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_bf3bb492c5b84e0b9617538710897a32", + "IPY_MODEL_d25af5745fd0435898ca04c3d24149e3" + ] + } + }, + "f40fe3eff4224c389c44f95c6c1d8198": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bf3bb492c5b84e0b9617538710897a32": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_2e78ebc1c8214aa3a62aaba95e0332a2", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f67f5e9374eb4027abd10cbd7b1c7b56" + } + }, + "d25af5745fd0435898ca04c3d24149e3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_2697e7df617545b18e8f881e0f675be7", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:02<00:00, 1.39it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_bd459460c6dd49e682dc8f54f89c2972" + } + }, + "2e78ebc1c8214aa3a62aaba95e0332a2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f67f5e9374eb4027abd10cbd7b1c7b56": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2697e7df617545b18e8f881e0f675be7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "bd459460c6dd49e682dc8f54f89c2972": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1f3c1c94e7b34573a39da5e554c82dd1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_54ef0483eb264dc48b4092b4e09bf93c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_44f2869196e840c081963ac54a0b4538", + "IPY_MODEL_5e50724bd1d448e6b4b7b9a61973cd0c" + ] + } + }, + "54ef0483eb264dc48b4092b4e09bf93c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "44f2869196e840c081963ac54a0b4538": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_10bee4e6bd6e44baa999b95b0013c740", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c6f7663982c24095ab8b921632c9d7bf" + } + }, + "5e50724bd1d448e6b4b7b9a61973cd0c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_8a27d1b537b84fea9e45ed3e97c641df", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:15<00:00, 3.72it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4f91f5b8e0a14b40a8ffc22b27d8cf6f" + } + }, + "10bee4e6bd6e44baa999b95b0013c740": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c6f7663982c24095ab8b921632c9d7bf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8a27d1b537b84fea9e45ed3e97c641df": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "4f91f5b8e0a14b40a8ffc22b27d8cf6f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9fcef6f95e2947a98a90046c1f24a175": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_81ca037f8b0348ab821c0bbe408b5909", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_fd0304c15b23404e932da3f45ebf8e71", + "IPY_MODEL_929a8e688bed46d1a4a3ffde280316b7" + ] + } + }, + "81ca037f8b0348ab821c0bbe408b5909": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fd0304c15b23404e932da3f45ebf8e71": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_2b2d5a638391467080635d26cf846508", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b13c92bcc9a349e7bda42200b75341b1" + } + }, + "929a8e688bed46d1a4a3ffde280316b7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_32a3b43516304a65b13aaec8fe036f71", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:03<00:00, 1.39it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_fe430f6409c445fbbbcf82afac6774e5" + } + }, + "2b2d5a638391467080635d26cf846508": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "b13c92bcc9a349e7bda42200b75341b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "32a3b43516304a65b13aaec8fe036f71": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "fe430f6409c445fbbbcf82afac6774e5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "09a009cdb10b49c992d1862c8f6c7738": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_10f53852c4854151af98135f3ed487ad", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_c7f0829afa6447b8a5d32da5e100cbc1", + "IPY_MODEL_c0ab81e9a0ce4dac816e91b4eaa158cc" + ] + } + }, + "10f53852c4854151af98135f3ed487ad": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c7f0829afa6447b8a5d32da5e100cbc1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b8425542281049189454b800c1237a68", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2016bff650484cdf80ab7dd0e7a07f42" + } + }, + "c0ab81e9a0ce4dac816e91b4eaa158cc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_aeaf74f7221b49ffb571522a7f5f53ad", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:16<00:00, 3.71it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f8748704f992457995e57ebd32f722c5" + } + }, + "b8425542281049189454b800c1237a68": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2016bff650484cdf80ab7dd0e7a07f42": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "aeaf74f7221b49ffb571522a7f5f53ad": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f8748704f992457995e57ebd32f722c5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f87413cd2e3748cc86641d227c5d6187": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d653c29ce6544dec8cc5a9fa379bf8e1", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_fdf13ac6ae0c4912bdb531ebdee61912", + "IPY_MODEL_2fedb607d0c74ac18745154a3aee968a" + ] + } + }, + "d653c29ce6544dec8cc5a9fa379bf8e1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fdf13ac6ae0c4912bdb531ebdee61912": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_bc8bb3a39c824219b7fd7027198838a1", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_df9a0220f5f140e5978d1511f363a029" + } + }, + "2fedb607d0c74ac18745154a3aee968a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9c8b59b823e248b69f293ab206a03855", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:03<00:00, 1.39it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_04ce89755efe4f40889abb6102a73a07" + } + }, + "bc8bb3a39c824219b7fd7027198838a1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "df9a0220f5f140e5978d1511f363a029": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9c8b59b823e248b69f293ab206a03855": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "04ce89755efe4f40889abb6102a73a07": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "234adbf5127149c493d2d30aca692a81": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_f4fec103435b4ab6a38919ba63c4e250", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_646e06771965491dac71106f61685515", + "IPY_MODEL_f6c9f6e64ae849f69c0666ff0c27b045" + ] + } + }, + "f4fec103435b4ab6a38919ba63c4e250": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "646e06771965491dac71106f61685515": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_dc2caa50fe944d01886e9ae02b7ce534", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0327e03a92b6460a96bc2767ab8658b7" + } + }, + "f6c9f6e64ae849f69c0666ff0c27b045": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_56f003a7eae24a68813ce45b1b7d79a2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:17<00:00, 3.63it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_68a59227ed554d508014a7e6f5af8cd6" + } + }, + "dc2caa50fe944d01886e9ae02b7ce534": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "0327e03a92b6460a96bc2767ab8658b7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "56f003a7eae24a68813ce45b1b7d79a2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "68a59227ed554d508014a7e6f5af8cd6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f6c56971e9fb4e94ac88d8033d1eaa56": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_73c6308af1ac4ea6bd8808e134697726", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_6f854eb019074cc4ab5d8eed1c9d803c", + "IPY_MODEL_42ad58c2c73643db9079ffab5096e8fd" + ] + } + }, + "73c6308af1ac4ea6bd8808e134697726": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6f854eb019074cc4ab5d8eed1c9d803c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b19d8ae95634442eb08de1814734c492", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5392365341fa486fa7e58164c3b12d65" + } + }, + "42ad58c2c73643db9079ffab5096e8fd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_24cc2099567f479e9de776a6ac7be697", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:16<00:00, 1.26it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c2ec1d0f22464278a0f175aa71d91e35" + } + }, + "b19d8ae95634442eb08de1814734c492": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5392365341fa486fa7e58164c3b12d65": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "24cc2099567f479e9de776a6ac7be697": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c2ec1d0f22464278a0f175aa71d91e35": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c32ed970c03d431bb66a956e9d39875e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_6eda2cba348347df99a1b3b332f5b9b3", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a61e0ca4e519418ba7931061baf78811", + "IPY_MODEL_a7f5982221bb4382ab670fa1d9cdd02f" + ] + } + }, + "6eda2cba348347df99a1b3b332f5b9b3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a61e0ca4e519418ba7931061baf78811": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ed0fcde1ab604b75888097c885217efb", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e61ab893f15d45afbeed3b297b441a6a" + } + }, + "a7f5982221bb4382ab670fa1d9cdd02f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9bbfa9afffed4218b083b299b6cb6cb2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:30<00:00, 3.39it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ae806dc0105b4c86836c478d4d6028e2" + } + }, + "ed0fcde1ab604b75888097c885217efb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e61ab893f15d45afbeed3b297b441a6a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9bbfa9afffed4218b083b299b6cb6cb2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "ae806dc0105b4c86836c478d4d6028e2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ab751c1546fa4b9fa5e775ac5cbfe3e5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_95f0925e0bec45bcb9c2169dfb17f3d2", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3d4080ec36604ea192d4d75b3cbb4b50", + "IPY_MODEL_67690bf98a84467cbdc5b8b2c789666f" + ] + } + }, + "95f0925e0bec45bcb9c2169dfb17f3d2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3d4080ec36604ea192d4d75b3cbb4b50": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b484b919216b448f84a88c4a2152e2ef", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_684b61cea43c4d03b02a6d450f2c02dc" + } + }, + "67690bf98a84467cbdc5b8b2c789666f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e1775175edda4332893c001158dee499", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:21<00:00, 1.38it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0bb9306ef09847258efbb716a7f10958" + } + }, + "b484b919216b448f84a88c4a2152e2ef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "684b61cea43c4d03b02a6d450f2c02dc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e1775175edda4332893c001158dee499": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "0bb9306ef09847258efbb716a7f10958": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0fe85c14dffd48a3a668a0136261077b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_0c1db0cf091b4b9ea4af12b0edb4e030", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2ff8d82750714af59fbdf191195a3aa3", + "IPY_MODEL_efd599d1e4754d039c173217b271e6af" + ] + } + }, + "0c1db0cf091b4b9ea4af12b0edb4e030": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2ff8d82750714af59fbdf191195a3aa3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_3b57b7e411714ae997cef60b77d2be59", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_55aba45900d044449374881168a45d15" + } + }, + "efd599d1e4754d039c173217b271e6af": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a79311e3071f4e72a34a4f5a8c5f797c", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:22<00:00, 3.53it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_be9f3fc5f54745df8cdeb72f2f7dc97b" + } + }, + "3b57b7e411714ae997cef60b77d2be59": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "55aba45900d044449374881168a45d15": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a79311e3071f4e72a34a4f5a8c5f797c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "be9f3fc5f54745df8cdeb72f2f7dc97b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "51e8ae71612c4a9e95a23f34c9291bfd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_30451b9d60634085a32487b9b7698bb0", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_fea7534cab0245bf90c6388041342670", + "IPY_MODEL_40363db55523425d892dfcf346160e4b" + ] + } + }, + "30451b9d60634085a32487b9b7698bb0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fea7534cab0245bf90c6388041342670": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c5c76db0ede7416a814ca7d5d4fd3172", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5d0936e1d20c4d4ea2ba2b52c08e35fa" + } + }, + "40363db55523425d892dfcf346160e4b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_f445d56514d1418f80173c60f70fc40e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:20<00:00, 1.29it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9c6b0c50cac1450892246fae469367b6" + } + }, + "c5c76db0ede7416a814ca7d5d4fd3172": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5d0936e1d20c4d4ea2ba2b52c08e35fa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f445d56514d1418f80173c60f70fc40e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9c6b0c50cac1450892246fae469367b6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9a5365aeabd740fa904c1e4abb447cae": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_0ec73951c0e14e08aa4f57febc958fc9", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4eddff85953e4a10b1cae88245b25987", + "IPY_MODEL_b7750f6f6489469ea6aae537b3d71eaf" + ] + } + }, + "0ec73951c0e14e08aa4f57febc958fc9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4eddff85953e4a10b1cae88245b25987": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4120560e10e146878d90784fad095305", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5ef635c2067f4246a96de56384ba5f2a" + } + }, + "b7750f6f6489469ea6aae537b3d71eaf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_81b417e237744912bc9f12f8fe561bb5", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:26<00:00, 3.49it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7c3f81c49fce4ffca4df735b365d69ba" + } + }, + "4120560e10e146878d90784fad095305": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5ef635c2067f4246a96de56384ba5f2a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "81b417e237744912bc9f12f8fe561bb5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "7c3f81c49fce4ffca4df735b365d69ba": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0754d62d692d4284b13bb0e7bc796bc9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_94c4a08738b14e65ab39a94533ac1e4e", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_90d5b5e262ea488ca10e913c2e5349c1", + "IPY_MODEL_52996fa6602b48d8b735cb362a2b76c8" + ] + } + }, + "94c4a08738b14e65ab39a94533ac1e4e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "90d5b5e262ea488ca10e913c2e5349c1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_663f985e222d4366a09a9830e1191bad", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f7b47b2a06014fc2970b5a4f79e6ca91" + } + }, + "52996fa6602b48d8b735cb362a2b76c8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_02732050d57a4650b4b152d468671104", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:24<00:00, 1.33it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f69d445bb9294e7e967e148bd21bc795" + } + }, + "663f985e222d4366a09a9830e1191bad": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f7b47b2a06014fc2970b5a4f79e6ca91": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "02732050d57a4650b4b152d468671104": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f69d445bb9294e7e967e148bd21bc795": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "eeac56b484824126a56ea69c31f70ff2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_8b42dbf0702e470ea6626477a8ed1733", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ef27e91a8f5242d7b422820ecba1aefd", + "IPY_MODEL_144a48e2595d4de0b406bc3cc35d5283" + ] + } + }, + "8b42dbf0702e470ea6626477a8ed1733": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ef27e91a8f5242d7b422820ecba1aefd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_e1bda0f8353c4e20befef468ca0a8f74", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_63ec8e391317450fad37062c8ce42009" + } + }, + "144a48e2595d4de0b406bc3cc35d5283": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_55da9a2628e340e5bbb8e970aa3b24ec", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:25<00:00, 3.70it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_27ab08d453c54410bb4451b4baf68a6f" + } + }, + "e1bda0f8353c4e20befef468ca0a8f74": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "63ec8e391317450fad37062c8ce42009": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "55da9a2628e340e5bbb8e970aa3b24ec": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "27ab08d453c54410bb4451b4baf68a6f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fa52b3640ba348f198962baf4f71dde1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_84a6a8f8fc534fbf9018e3dd114d043b", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_015422c40a434ab8adec57fedbb68d92", + "IPY_MODEL_eca9b1961f5942499255e6768195a0b2" + ] + } + }, + "84a6a8f8fc534fbf9018e3dd114d043b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "015422c40a434ab8adec57fedbb68d92": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4c07bf583ffd40a998a26b4aecae01c1", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7b38f77f3af04463ab6ff120100cc822" + } + }, + "eca9b1961f5942499255e6768195a0b2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_ead59314d24d488c9ea8f7826e715c28", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:23<00:00, 1.31it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1f52fc23de5145eeb1088dc3a6877345" + } + }, + "4c07bf583ffd40a998a26b4aecae01c1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "7b38f77f3af04463ab6ff120100cc822": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ead59314d24d488c9ea8f7826e715c28": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "1f52fc23de5145eeb1088dc3a6877345": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b6532e19ca7f4ad8a6320de1b0ed8ab5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_e8dcc120d4b4497e88a401050935069c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_5e778bb668874a3ca9e4ee91ec7c71d1", + "IPY_MODEL_6b24af23730c40fdaddbdff25e6ad724" + ] + } + }, + "e8dcc120d4b4497e88a401050935069c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5e778bb668874a3ca9e4ee91ec7c71d1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ffd2cb11cb394d438d59620cb7e387a0", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e86288009fbe470191712d9d5568d7b5" + } + }, + "6b24af23730c40fdaddbdff25e6ad724": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_99f2b11fd2e949a59d1eb5f22df59cb4", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:24<00:00, 3.43it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_cd0ec1c1f50c45a3a5aaa9f9e92da4d6" + } + }, + "ffd2cb11cb394d438d59620cb7e387a0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e86288009fbe470191712d9d5568d7b5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "99f2b11fd2e949a59d1eb5f22df59cb4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "cd0ec1c1f50c45a3a5aaa9f9e92da4d6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "55dc0b9f32714883831332cb151729f7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_c893e4eb9010445399e46a6c1a98045d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a5fa28a0b5414015a51522391041ee84", + "IPY_MODEL_ecc70c1af3e447e9a2a481da6b326589" + ] + } + }, + "c893e4eb9010445399e46a6c1a98045d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a5fa28a0b5414015a51522391041ee84": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c22ee96a01c34e81879e7ab84e8f59d8", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f13b309ef13d4e0c88ff14cafd7c1e9e" + } + }, + "ecc70c1af3e447e9a2a481da6b326589": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_eb737e396baf4a44b0635b6585977ecc", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:29<00:00, 1.37it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_76721d538f234f809765ecbfa51a3ce9" + } + }, + "c22ee96a01c34e81879e7ab84e8f59d8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f13b309ef13d4e0c88ff14cafd7c1e9e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "eb737e396baf4a44b0635b6585977ecc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "76721d538f234f809765ecbfa51a3ce9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "47316ac4a7694721ad71b7abb2bdf771": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_f7effae7d20a4905a1e7c9da4577ce70", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_f9e3361856b6434990b5fa1bb1f85288", + "IPY_MODEL_53ae3e610c894dcfa9975b41efcdd849" + ] + } + }, + "f7effae7d20a4905a1e7c9da4577ce70": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f9e3361856b6434990b5fa1bb1f85288": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_37d3ba05555f4977a07833c0a1a43721", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ed4440a25d6540c092e44e96676883fe" + } + }, + "53ae3e610c894dcfa9975b41efcdd849": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_72598e01c39446618cbace253d016827", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:23<00:00, 3.50it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d4028c5ecd5d449aa0b380dd60dff6c8" + } + }, + "37d3ba05555f4977a07833c0a1a43721": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ed4440a25d6540c092e44e96676883fe": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "72598e01c39446618cbace253d016827": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "d4028c5ecd5d449aa0b380dd60dff6c8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "177b42377d044f969952d0386d5bdb2e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_5857a8c6c86c4abc82453ab5f0594938", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_e1c9ae61263a4774bdcef2d3dfd2bf31", + "IPY_MODEL_c648867cb4da4bb4aa4f7175d0ea7da7" + ] + } + }, + "5857a8c6c86c4abc82453ab5f0594938": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e1c9ae61263a4774bdcef2d3dfd2bf31": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_91a22e2e12f440a5a39f551fd330de73", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_deffbac327864ef0ae3c90f4357ac41f" + } + }, + "c648867cb4da4bb4aa4f7175d0ea7da7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_846d8a34f74646a8b651ad0edda78c30", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [12:47<00:00, 76.78s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_766b99a8bbe34406961a137c4dc439a2" + } + }, + "91a22e2e12f440a5a39f551fd330de73": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "deffbac327864ef0ae3c90f4357ac41f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "846d8a34f74646a8b651ad0edda78c30": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "766b99a8bbe34406961a137c4dc439a2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f3620167c4bd48cfa9bde3b0780d9814": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_ec52538bca23441aafffbfd0c36b95a7", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_617c3a25df35441e8a41c9d21a60b11e", + "IPY_MODEL_d55f8e33b6984606ab0612bed3c77fa3" + ] + } + }, + "ec52538bca23441aafffbfd0c36b95a7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "617c3a25df35441e8a41c9d21a60b11e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_9d7fdef1451f46f584c94de04c044ef7", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3f041d00725b499c969b23cdc0a184cf" + } + }, + "d55f8e33b6984606ab0612bed3c77fa3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_ad5240de7c5f481891d118813080da88", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:21<00:00, 21.33it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_554ef4d8b16b4b9090cc468b908ccc32" + } + }, + "9d7fdef1451f46f584c94de04c044ef7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "3f041d00725b499c969b23cdc0a184cf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ad5240de7c5f481891d118813080da88": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "554ef4d8b16b4b9090cc468b908ccc32": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e053e7f5a724454482044f0ab4e46719": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_982a6373ae644f1ab586de9ee321cab9", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_b538581a342c46a4b93968c5dd7aa552", + "IPY_MODEL_cd6322e3245142dab054f56fae3f5626" + ] + } + }, + "982a6373ae644f1ab586de9ee321cab9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b538581a342c46a4b93968c5dd7aa552": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ec2256bd99894624a99ea1e32bda314f", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e5ec20d7a9d44a3ebc5a5bcaf36fe7e4" + } + }, + "cd6322e3245142dab054f56fae3f5626": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_ab608e3337654081ae85ff28edd0c031", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 63.97it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3756aefb4fdd4439a851bb7cf52f00c6" + } + }, + "ec2256bd99894624a99ea1e32bda314f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e5ec20d7a9d44a3ebc5a5bcaf36fe7e4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ab608e3337654081ae85ff28edd0c031": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "3756aefb4fdd4439a851bb7cf52f00c6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "beebad312d5b477192ceba38b3bf849c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_c4bc64d139af48e382a611f310d9236c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_c841180aa89a4663a3813a8c09610fff", + "IPY_MODEL_e63a04764441461b98cb13520e7a3565" + ] + } + }, + "c4bc64d139af48e382a611f310d9236c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c841180aa89a4663a3813a8c09610fff": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_823d4ce46bdb43b488cd2bf77b5cfa1f", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8fe5db7f30104a029ef6449d3c0b7163" + } + }, + "e63a04764441461b98cb13520e7a3565": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_33bec7f0da1c4761a3bdfa88305a663a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:21<00:00, 22.58it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_41527254f7b048f58d407a6927e79c8f" + } + }, + "823d4ce46bdb43b488cd2bf77b5cfa1f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "8fe5db7f30104a029ef6449d3c0b7163": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "33bec7f0da1c4761a3bdfa88305a663a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "41527254f7b048f58d407a6927e79c8f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "21715d50f2694df9b10924fb3093ff6c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_3e200239ab8a47658613fdc5ced76e36", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_43e4bb51614a468ea2cf77e1163ce5d0", + "IPY_MODEL_c376a0c956c04345862f1b0c9d87a560" + ] + } + }, + "3e200239ab8a47658613fdc5ced76e36": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "43e4bb51614a468ea2cf77e1163ce5d0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_2a22e5e85b8145098172733bb8780939", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e4d6f40d005f4f12b81e515b84e99bb8" + } + }, + "c376a0c956c04345862f1b0c9d87a560": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_ad7fafb2f34544538899fd4adda58880", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 66.30it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_af903a66ba37419ebcb8439015914b23" + } + }, + "2a22e5e85b8145098172733bb8780939": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e4d6f40d005f4f12b81e515b84e99bb8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ad7fafb2f34544538899fd4adda58880": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "af903a66ba37419ebcb8439015914b23": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "023a5f45ace34efab3628b60c14c2386": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_c82e2c8a9d47443d81078c3b25592556", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_f8c8510de6e940adab2d5ebde779a6d4", + "IPY_MODEL_ef9c7a75546c4279b56d03b72284e771" + ] + } + }, + "c82e2c8a9d47443d81078c3b25592556": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f8c8510de6e940adab2d5ebde779a6d4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_dcc529c1d4f948f3bfec665b0db3c71d", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8f59bbd65ffd4f7d8ab1b16d691d7a0f" + } + }, + "ef9c7a75546c4279b56d03b72284e771": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_8e93be84ce1a46e49ed47c616a7b00bf", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:21<00:00, 22.94it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_02b34646a58146d5b98cf3b668e0a57c" + } + }, + "dcc529c1d4f948f3bfec665b0db3c71d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "8f59bbd65ffd4f7d8ab1b16d691d7a0f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8e93be84ce1a46e49ed47c616a7b00bf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "02b34646a58146d5b98cf3b668e0a57c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c935823bd8e94c808b00e0d5f73d440a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_e72106b7320e48b2913b7627a4be0e59", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_81a76331dc63462794f11b7d756c8309", + "IPY_MODEL_bc3032d1ff814b29ae92412928147902" + ] + } + }, + "e72106b7320e48b2913b7627a4be0e59": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "81a76331dc63462794f11b7d756c8309": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a3903e61abb146d8a88a18c45140348e", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f00cebd18c5a48e2ac8d34d1e0d93ab1" + } + }, + "bc3032d1ff814b29ae92412928147902": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_2e24495d72574ad4b0b92fc9cca0264a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 50.74it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a494e39fa08b4af797c60a6d86e3772e" + } + }, + "a3903e61abb146d8a88a18c45140348e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f00cebd18c5a48e2ac8d34d1e0d93ab1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2e24495d72574ad4b0b92fc9cca0264a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a494e39fa08b4af797c60a6d86e3772e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d748dc810ce546b4b40e5a6184b9c2c3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d1d9c45d8934430cbed66c8411ddc200", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_1c8fc9d296cb410d9a3eacda7f196d26", + "IPY_MODEL_fa48317111c74e4bbae3d0f2bad8deb8" + ] + } + }, + "d1d9c45d8934430cbed66c8411ddc200": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1c8fc9d296cb410d9a3eacda7f196d26": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_1fd63d30edb04f1a8537774f18fc9bdf", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ac9864a70644460187d9a9db29665e66" + } + }, + "fa48317111c74e4bbae3d0f2bad8deb8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7f359b1c99f644b0a7d7ee05bfd45c1d", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:21<00:00, 20.32it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1c8d6961a9714ce8a33b7c5dc7ae6d5e" + } + }, + "1fd63d30edb04f1a8537774f18fc9bdf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ac9864a70644460187d9a9db29665e66": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7f359b1c99f644b0a7d7ee05bfd45c1d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "1c8d6961a9714ce8a33b7c5dc7ae6d5e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4f079dcd74374c69bfb903dbe9fff5d4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_3b11a7915fcb4650939526dd17e0d0ab", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_9a14f7c46e80416ba878ffa743b3b1ec", + "IPY_MODEL_c677d236bde04fe5b383d571a7af82c7" + ] + } + }, + "3b11a7915fcb4650939526dd17e0d0ab": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9a14f7c46e80416ba878ffa743b3b1ec": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_92151e4388a74fd3bf0f7ca3229cfc48", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c958749210034af7bbe78ff2dfd2bf31" + } + }, + "c677d236bde04fe5b383d571a7af82c7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_51c4b7bc6d354372972a78f272840522", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 64.81it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7f58d8a6c4e046f2a886ce300fa5f493" + } + }, + "92151e4388a74fd3bf0f7ca3229cfc48": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c958749210034af7bbe78ff2dfd2bf31": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "51c4b7bc6d354372972a78f272840522": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "7f58d8a6c4e046f2a886ce300fa5f493": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9e13cd62d2d14203a854a72c735c4112": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_fe6d4151609d4bdca426eb6c9de3f677", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3a1b398f5f964226883dd79b08ea40d5", + "IPY_MODEL_60ae309d1f1848079b078086b679ddcc" + ] + } + }, + "fe6d4151609d4bdca426eb6c9de3f677": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3a1b398f5f964226883dd79b08ea40d5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_5a6f1b7af103460c90c70726a29e463e", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c6c0d7ae49a243668a593850d71d33aa" + } + }, + "60ae309d1f1848079b078086b679ddcc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_03818565192349ce811eb3b7a4048a4b", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:22<00:00, 21.27it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5059584fa5df4e30965a0c08c0400dc6" + } + }, + "5a6f1b7af103460c90c70726a29e463e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c6c0d7ae49a243668a593850d71d33aa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "03818565192349ce811eb3b7a4048a4b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "5059584fa5df4e30965a0c08c0400dc6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "76a6ef7526984446834c1d16f762f5d5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_04b015281fbc4fa1af74a6699cdec3a6", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_e118448f82794ba48ce27ca4efad6b1f", + "IPY_MODEL_6441e381110342288df6941b48a840b9" + ] + } + }, + "04b015281fbc4fa1af74a6699cdec3a6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e118448f82794ba48ce27ca4efad6b1f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f025c0d009f84680b54e28317a8f442c", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_db4885d3764544fa8a5b11cf90c979de" + } + }, + "6441e381110342288df6941b48a840b9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_3e90fbd41b1147da90f370a6ab36b297", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 63.05it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d3394efaee30491d8fe85b9cf3a40a68" + } + }, + "f025c0d009f84680b54e28317a8f442c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "db4885d3764544fa8a5b11cf90c979de": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3e90fbd41b1147da90f370a6ab36b297": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "d3394efaee30491d8fe85b9cf3a40a68": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5fa4fe8b23284fe2b649fd17ab2d1fd8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9c632340d75842b2baca77d8c983a26d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_8f4d04a717dc4d99a10b1bdda071061a", + "IPY_MODEL_34fad922fa9f445fbbf05fe8535b6bfa" + ] + } + }, + "9c632340d75842b2baca77d8c983a26d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8f4d04a717dc4d99a10b1bdda071061a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_8fbf6b04270c4494aa304dd8c20ac577", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4c1057d6687b440daf1cb3b69cf7bda1" + } + }, + "34fad922fa9f445fbbf05fe8535b6bfa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_1cad8b1d4e7a4742a99d0b0f0455b9e2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:21<00:00, 20.43it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3a586b2896b845d381b83c1e4af25cf5" + } + }, + "8fbf6b04270c4494aa304dd8c20ac577": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4c1057d6687b440daf1cb3b69cf7bda1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1cad8b1d4e7a4742a99d0b0f0455b9e2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "3a586b2896b845d381b83c1e4af25cf5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f7f60ce828b944e6bfdb5a0ad6aaf663": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2574da214bf1408cb87367fcf0ef966c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_26bff52e55d64a1f9c5acbf30b3581ee", + "IPY_MODEL_21078e96ff1f4424ab708f8dd611252f" + ] + } + }, + "2574da214bf1408cb87367fcf0ef966c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "26bff52e55d64a1f9c5acbf30b3581ee": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_aecf4bca62bf442faed20a70ec29c213", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a600aa818af8471ab9170bac85032b40" + } + }, + "21078e96ff1f4424ab708f8dd611252f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_d2c39c39f2f94c7fa31a893ce4cc597b", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 61.90it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_aebebed18e7f4fa6ba45abb4e689e6ca" + } + }, + "aecf4bca62bf442faed20a70ec29c213": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "a600aa818af8471ab9170bac85032b40": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d2c39c39f2f94c7fa31a893ce4cc597b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "aebebed18e7f4fa6ba45abb4e689e6ca": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5656e337a5ab47e8be3fe1d07a185245": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9302c0ac3f634971bd9a45d62a2130fc", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_53183a7ebe0a4502b89c617fbeee8aec", + "IPY_MODEL_3300b7c813904574b000699478dccc53" + ] + } + }, + "9302c0ac3f634971bd9a45d62a2130fc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "53183a7ebe0a4502b89c617fbeee8aec": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_73acc991a8284ed2b4fb5bfccead73d6", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_02389d2874d34463bae9904ebd41366e" + } + }, + "3300b7c813904574b000699478dccc53": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9e58e257bfdd4a898475a0b551688e38", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:21<00:00, 21.94it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_46c6be7f62384037b4676c14e50e4a7f" + } + }, + "73acc991a8284ed2b4fb5bfccead73d6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "02389d2874d34463bae9904ebd41366e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9e58e257bfdd4a898475a0b551688e38": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "46c6be7f62384037b4676c14e50e4a7f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "27b589bb37b842e58308209aa713a761": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_35c60ea6f3f1407c935f5047d4668d1b", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4388e4a8cd6f425ba9d677a940bce626", + "IPY_MODEL_e0c64e918b8d4bf595eb01f819b1a847" + ] + } + }, + "35c60ea6f3f1407c935f5047d4668d1b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4388e4a8cd6f425ba9d677a940bce626": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_6c499c8775d64cb4b4367d617abc28bb", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_57d65e3583fa4f5586d8378da765ae2d" + } + }, + "e0c64e918b8d4bf595eb01f819b1a847": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e843a8e793cf43008a9203f5a28ff9bc", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 61.75it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f701e9c6271844c88524c5c30187ba0e" + } + }, + "6c499c8775d64cb4b4367d617abc28bb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "57d65e3583fa4f5586d8378da765ae2d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e843a8e793cf43008a9203f5a28ff9bc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f701e9c6271844c88524c5c30187ba0e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "15a3125e9114404ba382b18ee17b5f34": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_5badecd88f564a0d8b83dff00467ee37", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_00969c3497b741dfbee0ed9fdeb14e84", + "IPY_MODEL_62d6600aff844410bd0e43e58c602d23" + ] + } + }, + "5badecd88f564a0d8b83dff00467ee37": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "00969c3497b741dfbee0ed9fdeb14e84": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_631551f8eed74635bcb576cb014b76e1", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_06a372d98c184a7aba97d25d96fb685c" + } + }, + "62d6600aff844410bd0e43e58c602d23": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_618bbf6ea1d1422abf6eaf225a990aaa", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:21<00:00, 21.42it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_48f9eb562f614ea98882ec757504cd8f" + } + }, + "631551f8eed74635bcb576cb014b76e1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "06a372d98c184a7aba97d25d96fb685c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "618bbf6ea1d1422abf6eaf225a990aaa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "48f9eb562f614ea98882ec757504cd8f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f2353b5619084f0dac5426545d4b1e31": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4b773bd415894449a1d097448ea0fc91", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a425972ada8c4e75ac0011d50f706abd", + "IPY_MODEL_49eed064c9f249478aba9e7244cd3f84" + ] + } + }, + "4b773bd415894449a1d097448ea0fc91": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a425972ada8c4e75ac0011d50f706abd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_1ac618bc9c54402dad3e2947a30fc71b", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4c5d74b584ee40129bb00cae0799e714" + } + }, + "49eed064c9f249478aba9e7244cd3f84": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_f27ecb8e7435499b8089793a96f701af", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 61.61it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a6dc0e8c4bd246c28e2537bcd54e1025" + } + }, + "1ac618bc9c54402dad3e2947a30fc71b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4c5d74b584ee40129bb00cae0799e714": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f27ecb8e7435499b8089793a96f701af": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a6dc0e8c4bd246c28e2537bcd54e1025": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "be42291c618343c7b5056d71a65861ac": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9726726646354a53804d83e88e83c870", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_dfa4d10852384cb68e53ebc0a7c33b07", + "IPY_MODEL_05f8bce66d7f424a9f78e7849bd57ed8" + ] + } + }, + "9726726646354a53804d83e88e83c870": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "dfa4d10852384cb68e53ebc0a7c33b07": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_35f5d6deb5b540949acc8b3cfa280914", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d1c6926b8fa4422f95004a96a5ada76b" + } + }, + "05f8bce66d7f424a9f78e7849bd57ed8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_431ba586100047cbb95d0f6681eeb7f5", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:21<00:00, 22.91it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9d04e5de39c848079cbdb26ff7d82447" + } + }, + "35f5d6deb5b540949acc8b3cfa280914": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "d1c6926b8fa4422f95004a96a5ada76b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "431ba586100047cbb95d0f6681eeb7f5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9d04e5de39c848079cbdb26ff7d82447": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "44d1fff07a754caf833eca235f785d76": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_abda851ad1924dc5aba5924eea7d02d5", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3085b9b2fb5c439ba8e4f674f381b6af", + "IPY_MODEL_75510aaf9b1b4b7ba89a7824015e84d6" + ] + } + }, + "abda851ad1924dc5aba5924eea7d02d5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3085b9b2fb5c439ba8e4f674f381b6af": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ceb5a01dc34948a28ca9712af830d2cf", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b2f9664d06eb43a9b86f73b17a0e0992" + } + }, + "75510aaf9b1b4b7ba89a7824015e84d6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_03ad85724fd54e058bc508f7acf6f537", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 65.13it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b4342b7bbff345f5bca4135091b02e09" + } + }, + "ceb5a01dc34948a28ca9712af830d2cf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "b2f9664d06eb43a9b86f73b17a0e0992": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "03ad85724fd54e058bc508f7acf6f537": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b4342b7bbff345f5bca4135091b02e09": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7c8612f7d2f145958f13cc786bdf8fc9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_bc6a2c62f22c42a8ae15b7bc040b1fd2", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_49ad1bec535443a78cd201d12c486241", + "IPY_MODEL_db1cfe832d2f4a749ad80abfb22ce42f" + ] + } + }, + "bc6a2c62f22c42a8ae15b7bc040b1fd2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "49ad1bec535443a78cd201d12c486241": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f81a89fce4df4dcf866ac0a557f05f18", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_be54b8661a9d4de1b65068873160761e" + } + }, + "db1cfe832d2f4a749ad80abfb22ce42f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7556680aed584b4987270d79e6a72b13", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:22<00:00, 20.56it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_22f00c9539fc4e9287dbd97e18e32a2b" + } + }, + "f81a89fce4df4dcf866ac0a557f05f18": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "be54b8661a9d4de1b65068873160761e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7556680aed584b4987270d79e6a72b13": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "22f00c9539fc4e9287dbd97e18e32a2b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6621aa70372f40c68dddc60dbfe91211": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_20bcab1b4e5649daac29a0bd80498d08", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_748a678a2d0b4192a125b5d3e6482079", + "IPY_MODEL_9a3be0fa3b41482e9bbf61eff1fe07ea" + ] + } + }, + "20bcab1b4e5649daac29a0bd80498d08": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "748a678a2d0b4192a125b5d3e6482079": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_1baa61a2ff66405e9bc75ea0b71c38c0", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_fc91a8de083246fdb74434a8a1418623" + } + }, + "9a3be0fa3b41482e9bbf61eff1fe07ea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_176110e361274d96ac089f4e8d2c19da", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 58.92it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_086641f81d9640eda68320ffaf67448b" + } + }, + "1baa61a2ff66405e9bc75ea0b71c38c0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "fc91a8de083246fdb74434a8a1418623": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "176110e361274d96ac089f4e8d2c19da": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "086641f81d9640eda68320ffaf67448b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "68e5bc32dca14e81a8468ab4e6145126": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d1a4abae880443429f36f33cb0c84207", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2b909cf6695c4eacba5483db30e441c7", + "IPY_MODEL_8b3d6c2c84e449969a70afdc349ac0b8" + ] + } + }, + "d1a4abae880443429f36f33cb0c84207": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2b909cf6695c4eacba5483db30e441c7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_140c6b411aa74b3b9de074854c632016", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1487fe53cfb64c81a3a3c6688a469eea" + } + }, + "8b3d6c2c84e449969a70afdc349ac0b8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_4125e7ade7174070baaed5c4597382fb", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [1:46:27<00:00, 638.78s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6c17884ad2264e169bdcfd1792da2a1e" + } + }, + "140c6b411aa74b3b9de074854c632016": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "1487fe53cfb64c81a3a3c6688a469eea": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4125e7ade7174070baaed5c4597382fb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "6c17884ad2264e169bdcfd1792da2a1e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cdc1cc2e91de472fad162ab47cb45b79": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9c89588462404261ac7c34bf83102ccf", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ecf93e75d7604c09ae3962e33a02b2a5", + "IPY_MODEL_e4ae14e20d1348b098ebff4fbf8e6635" + ] + } + }, + "9c89588462404261ac7c34bf83102ccf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ecf93e75d7604c09ae3962e33a02b2a5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_32e08657342049b38face118191087ea", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d283a4f2e0334f8c846ab079cb5b976b" + } + }, + "e4ae14e20d1348b098ebff4fbf8e6635": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9e4bc1b3c77b464a9a9573930522ff08", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [08:12<00:00, 1.05it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_89910cf150c44718bbbefcbf5b0fea31" + } + }, + "32e08657342049b38face118191087ea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "d283a4f2e0334f8c846ab079cb5b976b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9e4bc1b3c77b464a9a9573930522ff08": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "89910cf150c44718bbbefcbf5b0fea31": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2e4c93f688ca4e288923be5db76a0a70": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_3f51c679707b42fa8dfd33201f1e91fb", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_9ed3e8dec44049ac80042ae2cd14594e", + "IPY_MODEL_5e45390dbee74ec4904ace53cb12ac57" + ] + } + }, + "3f51c679707b42fa8dfd33201f1e91fb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9ed3e8dec44049ac80042ae2cd14594e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_1c3f8408ea8c4faba8e9c7ffdb3ff94c", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_47d64ec0cc164628ae3b0ee2fb563af3" + } + }, + "5e45390dbee74ec4904ace53cb12ac57": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_d214d76f6e484bde891476f4007ed4f8", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:28<00:00, 3.52it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_56c2b9d788bb4d8daa087064f0b7d4ba" + } + }, + "1c3f8408ea8c4faba8e9c7ffdb3ff94c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "47d64ec0cc164628ae3b0ee2fb563af3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d214d76f6e484bde891476f4007ed4f8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "56c2b9d788bb4d8daa087064f0b7d4ba": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b830c276b8d543adbe46509c58ae38b0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_1269e32eb04549829113041b0a6922e9", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_5cb498648528430fb8ad597eaa3d87b7", + "IPY_MODEL_587cc234e1b24737bff1406b89362b6d" + ] + } + }, + "1269e32eb04549829113041b0a6922e9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5cb498648528430fb8ad597eaa3d87b7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_dbe6c36d766f4c648a2816e66f1fad52", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_695dc8e08c814e2fafb3d7e4a873c875" + } + }, + "587cc234e1b24737bff1406b89362b6d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c224955bf76842b39b5bdec13d3c3502", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [08:18<00:00, 1.06s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0610333ea5c0442c8613a020ca912322" + } + }, + "dbe6c36d766f4c648a2816e66f1fad52": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "695dc8e08c814e2fafb3d7e4a873c875": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c224955bf76842b39b5bdec13d3c3502": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "0610333ea5c0442c8613a020ca912322": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d903a34814a1403c840ed403c953a28d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4206da93f27247a1b899f194218c9a7f", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_bc1489c6eab44e1eb97f2a4b65757f0a", + "IPY_MODEL_4c156b58c5914e75b262cd2e70dbeb8e" + ] + } + }, + "4206da93f27247a1b899f194218c9a7f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bc1489c6eab44e1eb97f2a4b65757f0a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_dd922e36ddf34699806281888894c5c6", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b6e3afeb04424aac962a5ed2870a1a6f" + } + }, + "4c156b58c5914e75b262cd2e70dbeb8e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_282d5f4a6fdb40919c14e4dada2c2ac0", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:37<00:00, 3.28it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9bffae6b1310456785e5a90a228747e6" + } + }, + "dd922e36ddf34699806281888894c5c6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "b6e3afeb04424aac962a5ed2870a1a6f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "282d5f4a6fdb40919c14e4dada2c2ac0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9bffae6b1310456785e5a90a228747e6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "20fa1568680c48a4810863567bfa3095": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_01267d53b35649d396aef210b627c1db", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2585122e35934482acedac73fb91e76d", + "IPY_MODEL_cd4685dd1b444a428875fbdcc5fefff1" + ] + } + }, + "01267d53b35649d396aef210b627c1db": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2585122e35934482acedac73fb91e76d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_10c01bdbe4f942f3883c591db1dad13f", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a41de09df7b446f8a54f8bb05e6cd58b" + } + }, + "cd4685dd1b444a428875fbdcc5fefff1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a1c379acefe5499bbb75fc3e135402c4", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [08:25<00:00, 1.00it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_64e2c1dbfe844bb6a3b40288f1d03ed2" + } + }, + "10c01bdbe4f942f3883c591db1dad13f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "a41de09df7b446f8a54f8bb05e6cd58b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a1c379acefe5499bbb75fc3e135402c4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "64e2c1dbfe844bb6a3b40288f1d03ed2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1aec78c001fb47a99ff2e73f2e153a86": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_501eb47353464cd285f450482abd5637", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_e98bad139c5c4234a1101d3e914db639", + "IPY_MODEL_87bb95014c7d4bca93242fff34f8e43f" + ] + } + }, + "501eb47353464cd285f450482abd5637": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e98bad139c5c4234a1101d3e914db639": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_bc81d630ac24483cb3b7672f16f01c24", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_722af936b3aa4dbb885ab51670d38bd8" + } + }, + "87bb95014c7d4bca93242fff34f8e43f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a90f7fd1168f4c7eb8ffe3758d0db080", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:32<00:00, 3.37it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f4df1fbeef2d4bb88b5169d2682280ed" + } + }, + "bc81d630ac24483cb3b7672f16f01c24": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "722af936b3aa4dbb885ab51670d38bd8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a90f7fd1168f4c7eb8ffe3758d0db080": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f4df1fbeef2d4bb88b5169d2682280ed": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "75dcd2d0439841dfae6c3f17a4461eea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_67f2ba47620a4cf6a4c84e47ae6317dd", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_eb2b0ada21dc448d9a0d0f92bbcbb887", + "IPY_MODEL_410c751faf3c493b805497c6ab076940" + ] + } + }, + "67f2ba47620a4cf6a4c84e47ae6317dd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "eb2b0ada21dc448d9a0d0f92bbcbb887": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_719dc40410e04e02becfc046e7721a47", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_aa3330bf38cb4e8ba3bfc29bcc716c92" + } + }, + "410c751faf3c493b805497c6ab076940": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_82b2475133524657bcf09e0beadcc418", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [08:13<00:00, 1.03it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_18424a97fa6045489e903273bd20cf66" + } + }, + "719dc40410e04e02becfc046e7721a47": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "aa3330bf38cb4e8ba3bfc29bcc716c92": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "82b2475133524657bcf09e0beadcc418": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "18424a97fa6045489e903273bd20cf66": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "60ad6e1f781245faa63e79f9ef9b894c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4a4636f5a0304ab2a113ecbd9d01a7f6", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_23490a8a043a413794fa6e3571f833d7", + "IPY_MODEL_c2221f18a4bd4435b30a13872f6d494c" + ] + } + }, + "4a4636f5a0304ab2a113ecbd9d01a7f6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "23490a8a043a413794fa6e3571f833d7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_32681c4854bf45d4897e69fec3e4828e", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_25f85a33edc349fcbb320911891556a3" + } + }, + "c2221f18a4bd4435b30a13872f6d494c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_70c62c71215d4272a92f623ab161c913", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:28<00:00, 3.48it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e06b7041c2ea4d4d93aad541741bb873" + } + }, + "32681c4854bf45d4897e69fec3e4828e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "25f85a33edc349fcbb320911891556a3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "70c62c71215d4272a92f623ab161c913": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e06b7041c2ea4d4d93aad541741bb873": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7fc696206dee44a9af924f979e364ad6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_6d4dcde8b7e04ae1bab66c0d13c35c48", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_0639a0320fe84ba29899873260feb13b", + "IPY_MODEL_740a87a650024e6895d65b7650b2ceb8" + ] + } + }, + "6d4dcde8b7e04ae1bab66c0d13c35c48": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0639a0320fe84ba29899873260feb13b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f75f1c8087f94bcc84505c0e1360a197", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2f0072149ef14c52b3dae1b9fe7a5f33" + } + }, + "740a87a650024e6895d65b7650b2ceb8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_0dbb697c94c0442083a504873a90a6f9", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [08:13<00:00, 1.06it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e27d1dab141040188694a0b17915b61a" + } + }, + "f75f1c8087f94bcc84505c0e1360a197": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2f0072149ef14c52b3dae1b9fe7a5f33": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0dbb697c94c0442083a504873a90a6f9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e27d1dab141040188694a0b17915b61a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1d7417a36906490a97d80fd622cec257": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_030322076d6a47bba1c29cfb1824dbf0", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ab9ae6b11d5d44c0b36f044f9d77d50e", + "IPY_MODEL_477e343cce4541619198611a2e0590ce" + ] + } + }, + "030322076d6a47bba1c29cfb1824dbf0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ab9ae6b11d5d44c0b36f044f9d77d50e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b3d26641800143a3aa0eb63d48008328", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9b97a09a0a9e4869820059f59cce7905" + } + }, + "477e343cce4541619198611a2e0590ce": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_6e4739078c564d0ba8e6a64eace2fdda", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:31<00:00, 3.41it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_62b82f98a38547a09474bf02830a556c" + } + }, + "b3d26641800143a3aa0eb63d48008328": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "9b97a09a0a9e4869820059f59cce7905": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6e4739078c564d0ba8e6a64eace2fdda": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "62b82f98a38547a09474bf02830a556c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "97aa7a261859458a98b8b2044051883e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_bb8de57584c54f058d23038548b39caa", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_e394def3f2df4e99bdf3d21a0d529428", + "IPY_MODEL_3d36fb92f0f9426c9dfdb969b79fbe96" + ] + } + }, + "bb8de57584c54f058d23038548b39caa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e394def3f2df4e99bdf3d21a0d529428": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ce5bae395b7e44be914523276b2a9de4", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ab5567ec2b9a411590752d620cbf8ab8" + } + }, + "3d36fb92f0f9426c9dfdb969b79fbe96": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9e194c7143c64390ac51630573eda9f7", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [08:05<00:00, 1.07it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_178e31595086459592c7ff6d6d3aa549" + } + }, + "ce5bae395b7e44be914523276b2a9de4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ab5567ec2b9a411590752d620cbf8ab8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9e194c7143c64390ac51630573eda9f7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "178e31595086459592c7ff6d6d3aa549": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7162694f8eab43cbb10dc537b158277a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2e28ff75213b4c5d9427f1ac9df36924", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_cfd585d6f72a4381921354cad93cccdf", + "IPY_MODEL_5eeb67ee135f4a9ba3891918d9a27408" + ] + } + }, + "2e28ff75213b4c5d9427f1ac9df36924": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cfd585d6f72a4381921354cad93cccdf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_7d25cd44f3924cfbbb45b67e8f3da8a1", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_036f9b05a6d04b669dd5aebd0a58a60a" + } + }, + "5eeb67ee135f4a9ba3891918d9a27408": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_2dc42a881d10414f91ca1bd93b5ef6ea", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:24<00:00, 3.53it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8d6e8a0b7f864509bbb94eb38cd4d56b" + } + }, + "7d25cd44f3924cfbbb45b67e8f3da8a1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "036f9b05a6d04b669dd5aebd0a58a60a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2dc42a881d10414f91ca1bd93b5ef6ea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "8d6e8a0b7f864509bbb94eb38cd4d56b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6295490350504e3397faa0aedacb55b6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_42c2ce9ada09471f9dd3f336cc44b58f", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_0504e1a364254ece81c38fd112f20a4a", + "IPY_MODEL_089ae6f4cfb64ca0b7e5755fc0be589b" + ] + } + }, + "42c2ce9ada09471f9dd3f336cc44b58f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0504e1a364254ece81c38fd112f20a4a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_2251b3e4edff4a1e880d4b77eb4adc5d", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a62610f58513448c8f832f36eab308cf" + } + }, + "089ae6f4cfb64ca0b7e5755fc0be589b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_f7353136a61d4910a05c2690381ac5f2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [08:14<00:00, 1.04it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9ebdcbfc304a4ee88b48ea8dccfd2301" + } + }, + "2251b3e4edff4a1e880d4b77eb4adc5d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "a62610f58513448c8f832f36eab308cf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f7353136a61d4910a05c2690381ac5f2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9ebdcbfc304a4ee88b48ea8dccfd2301": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a8a97bb80bd6452a8ad67940384ed27b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_bca435052d4b4c748ed81d7f9f017711", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_7755574fe72940d2b62870b39df7852c", + "IPY_MODEL_7c8622fe8da041029e1f969b4d4f2588" + ] + } + }, + "bca435052d4b4c748ed81d7f9f017711": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7755574fe72940d2b62870b39df7852c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f543bfbe495947c887ae0c569d994bed", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2d49d48b3d27406d8a042bc259bac437" + } + }, + "7c8622fe8da041029e1f969b4d4f2588": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_1bd50851f2084e3f88c2cd48510a55f4", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:29<00:00, 3.49it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_15fba92d6e1747dabf982aa711c0993a" + } + }, + "f543bfbe495947c887ae0c569d994bed": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2d49d48b3d27406d8a042bc259bac437": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1bd50851f2084e3f88c2cd48510a55f4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "15fba92d6e1747dabf982aa711c0993a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "575e8c07426142e683690c80a13faeaa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_c17d4e8e631642f2ad4cbb59e297d53f", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2ce1067c036a428bae527ded5d13d172", + "IPY_MODEL_529d92acc63e4c0bb47edb6a71be3072" + ] + } + }, + "c17d4e8e631642f2ad4cbb59e297d53f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2ce1067c036a428bae527ded5d13d172": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f822810b599441238696008e0709b519", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5492e608060c41e09f93e2520525add2" + } + }, + "529d92acc63e4c0bb47edb6a71be3072": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_f43b1df9b12d426bb7a4d10e3258d872", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [08:11<00:00, 1.01it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a37a70b8523a42d4a81f552764bac309" + } + }, + "f822810b599441238696008e0709b519": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5492e608060c41e09f93e2520525add2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f43b1df9b12d426bb7a4d10e3258d872": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a37a70b8523a42d4a81f552764bac309": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "55a40bf8ea7740aebb05f3071730ba06": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_fce34d3856b24b8d97002c9b3dfd7af3", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_97136816ccbd4ed69efe6942bb0f7419", + "IPY_MODEL_8b31d67d91a04704b106c151acee2353" + ] + } + }, + "fce34d3856b24b8d97002c9b3dfd7af3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "97136816ccbd4ed69efe6942bb0f7419": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_7fbcb3b2fc6e40c08b884a82d37498bf", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0462eededce042ef9cd1c45f1699c59e" + } + }, + "8b31d67d91a04704b106c151acee2353": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5d8f496870e8460d8ff696949239ac3a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:26<00:00, 3.52it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9b01f510f3ec49bba5cde76f5a877327" + } + }, + "7fbcb3b2fc6e40c08b884a82d37498bf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "0462eededce042ef9cd1c45f1699c59e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5d8f496870e8460d8ff696949239ac3a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9b01f510f3ec49bba5cde76f5a877327": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b4c4e6cd25af43a1989ae0538cfc5072": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_e038836de88448d988bf103f787fd9f7", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_f4c8a695de354d0aa13a765c817f5ea1", + "IPY_MODEL_1463b7d66aff4da5ae6d13947d5c780c" + ] + } + }, + "e038836de88448d988bf103f787fd9f7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f4c8a695de354d0aa13a765c817f5ea1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f62da288c46e49efa4e7896795d50509", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c8cec9c6d2ee4f9896b34091877ae401" + } + }, + "1463b7d66aff4da5ae6d13947d5c780c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_814dd707ed9d4fee8bed8c929c11f10e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [07:50<00:00, 1.06it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_81d4244b8d0d470384a95545d76316f5" + } + }, + "f62da288c46e49efa4e7896795d50509": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c8cec9c6d2ee4f9896b34091877ae401": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "814dd707ed9d4fee8bed8c929c11f10e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "81d4244b8d0d470384a95545d76316f5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d869036df9154cc082539894e0eeaba9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_cd23c154120f4867a42d50afb8979f5c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_782ba86d233f450595042962cd09bdae", + "IPY_MODEL_50d7ad7e8c4c4ade807f24b31e9d1fdf" + ] + } + }, + "cd23c154120f4867a42d50afb8979f5c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "782ba86d233f450595042962cd09bdae": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c8943b5a9ad441d59fe54de62bacf0fc", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_cdcb8ac9f6fb438db7e18397a0ecb960" + } + }, + "50d7ad7e8c4c4ade807f24b31e9d1fdf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_1939932c946c4272983f4f4eb923543e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:24<00:00, 3.31it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6aafa71fc7804e2cacf411ce31e54318" + } + }, + "c8943b5a9ad441d59fe54de62bacf0fc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "cdcb8ac9f6fb438db7e18397a0ecb960": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1939932c946c4272983f4f4eb923543e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "6aafa71fc7804e2cacf411ce31e54318": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "17e11c79f70a45e08be4c39e18d21d52": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_89078089501e441a91b31a68a1b33f27", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_dbc773290d1b4e8f9e94e6b39107b96e", + "IPY_MODEL_2c85786413a942f489609583f264ff02" + ] + } + }, + "89078089501e441a91b31a68a1b33f27": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "dbc773290d1b4e8f9e94e6b39107b96e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_5af4a980f2294cdcb54b497e2fd66584", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_df7695f0534f429b8c268a6537a85b32" + } + }, + "2c85786413a942f489609583f264ff02": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e8cd75928afd449384c5780e98b4ab71", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [07:49<00:00, 1.08it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3a10fb78b55f4c11ba1d9721cd674218" + } + }, + "5af4a980f2294cdcb54b497e2fd66584": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "df7695f0534f429b8c268a6537a85b32": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e8cd75928afd449384c5780e98b4ab71": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "3a10fb78b55f4c11ba1d9721cd674218": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "819d10e9175c40248cc4acb23166c557": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_ecbf52c8acaa48068ba29fb3b95d2d01", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_778cbf04039c4cd9bbf2ed751c873fc4", + "IPY_MODEL_9f15e58c3e164d178b660b90775c33f2" + ] + } + }, + "ecbf52c8acaa48068ba29fb3b95d2d01": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "778cbf04039c4cd9bbf2ed751c873fc4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c6713ac8f0c44025b309d42cfc299270", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_aa114dad86e141169b293a4604d07100" + } + }, + "9f15e58c3e164d178b660b90775c33f2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_125ffd57a9c54aacbe185a2b1f75f84f", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:24<00:00, 3.48it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_76db257f4b7c4b4b8fc03aca7451562b" + } + }, + "c6713ac8f0c44025b309d42cfc299270": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "aa114dad86e141169b293a4604d07100": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "125ffd57a9c54aacbe185a2b1f75f84f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "76db257f4b7c4b4b8fc03aca7451562b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6c51d04e61fe4b52a0610c60d4981026": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_95fb4661caad4f09ab7ce55b767f5caf", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3d11db6f840e49149bffcdd190b70ef3", + "IPY_MODEL_af4c5498395445259ec8a8bd1f0127c4" + ] + } + }, + "95fb4661caad4f09ab7ce55b767f5caf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3d11db6f840e49149bffcdd190b70ef3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ec50fa8b3a9c4da0b708e2b6de08a32f", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c38e3705a1064216b12addf333499a02" + } + }, + "af4c5498395445259ec8a8bd1f0127c4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_bb4a5e3b0323419da9ca1f69469e6ccb", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [09:10<00:00, 55.08s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c2422e52e69c45b28e6efeb656627aa7" + } + }, + "ec50fa8b3a9c4da0b708e2b6de08a32f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c38e3705a1064216b12addf333499a02": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bb4a5e3b0323419da9ca1f69469e6ccb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c2422e52e69c45b28e6efeb656627aa7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8292059dc86c4e68a91a027f8594a5e8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_6f055efbc8ea490ea34680b062ab7709", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_726804aa408e484599db2867e86089e4", + "IPY_MODEL_5505bb285fca4fe3acb1e859a43da465" + ] + } + }, + "6f055efbc8ea490ea34680b062ab7709": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "726804aa408e484599db2867e86089e4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_940327e7eb4048688ef8e1114c3ed7cb", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ecfd1a28483f41aaa4c2bd9b0fb3dd65" + } + }, + "5505bb285fca4fe3acb1e859a43da465": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_de055ab1ed6a4702a04a13a5049240be", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:13<00:00, 35.54it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_33455ffce4e1485382fcb86a0ed91c2e" + } + }, + "940327e7eb4048688ef8e1114c3ed7cb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ecfd1a28483f41aaa4c2bd9b0fb3dd65": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "de055ab1ed6a4702a04a13a5049240be": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "33455ffce4e1485382fcb86a0ed91c2e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "618cccaf0f9146bd9396184c5e99217c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d9664591374c4a418891fb7355141592", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3ece7f6cc06345ed93c4c66700318052", + "IPY_MODEL_e4b5f151fc42430999215fbd89039120" + ] + } + }, + "d9664591374c4a418891fb7355141592": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3ece7f6cc06345ed93c4c66700318052": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_8eeda8dbf6264d4986907cd052234ecc", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d8ded3244a6d4372849580ff0f37ef44" + } + }, + "e4b5f151fc42430999215fbd89039120": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7044d3412c944976a90ffe113314049a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 64.74it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d82907a790904708ad034c7a77a2d2d8" + } + }, + "8eeda8dbf6264d4986907cd052234ecc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "d8ded3244a6d4372849580ff0f37ef44": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7044d3412c944976a90ffe113314049a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "d82907a790904708ad034c7a77a2d2d8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f28815605ce442efa42e3367d9fa95a1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_c4cbd4c7d1014b6ab993dc8d4666c665", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ae008edc83414ad18f137374f79c5ed4", + "IPY_MODEL_d71947bbf2324be6a1cd699977101d4c" + ] + } + }, + "c4cbd4c7d1014b6ab993dc8d4666c665": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ae008edc83414ad18f137374f79c5ed4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_25f627ffa28849bf810de8f35d2a6525", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f6488d3756094d6988e2d4e7076c1352" + } + }, + "d71947bbf2324be6a1cd699977101d4c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5e6e29700e5746efa11cdc57956af14d", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:13<00:00, 35.11it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_99a80167f9364dc8a5527eafa053a139" + } + }, + "25f627ffa28849bf810de8f35d2a6525": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f6488d3756094d6988e2d4e7076c1352": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5e6e29700e5746efa11cdc57956af14d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "99a80167f9364dc8a5527eafa053a139": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cea956cef806462f9866df3596ba8b97": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_1cde6d0274a842fab6cc587baa84219c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a686be026b4d42328e9b591ecf7ef688", + "IPY_MODEL_d7aee4d6ae7d4145905238bf7a53aeb9" + ] + } + }, + "1cde6d0274a842fab6cc587baa84219c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a686be026b4d42328e9b591ecf7ef688": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_9bf2e246028d41fda3499eee6066a018", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ccf8273bdfa0466680aa2a48aa3613b0" + } + }, + "d7aee4d6ae7d4145905238bf7a53aeb9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5282d30459ff4e3cae09c74bac4f7a77", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 64.59it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_98cc1eddd133492695f4251adce3da0d" + } + }, + "9bf2e246028d41fda3499eee6066a018": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ccf8273bdfa0466680aa2a48aa3613b0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5282d30459ff4e3cae09c74bac4f7a77": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "98cc1eddd133492695f4251adce3da0d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9a4d5d5121e84d1594201ffd6da2a0b7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_bb77fd72ebc74477a5fb1a1a641e2dad", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2434b176c0ac49a7b1f4165fad69e2ed", + "IPY_MODEL_fa4922a252454de3a341f6fca8892391" + ] + } + }, + "bb77fd72ebc74477a5fb1a1a641e2dad": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2434b176c0ac49a7b1f4165fad69e2ed": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_3c77a6d5f76e43978ab38ae41479e27f", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8836407316c64c22b213216e3b865ae3" + } + }, + "fa4922a252454de3a341f6fca8892391": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_1e642c5b7c4d46fc9e95d4b11055e958", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:13<00:00, 34.19it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_efdecea626104e5d9c8ccf0a225b4af6" + } + }, + "3c77a6d5f76e43978ab38ae41479e27f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "8836407316c64c22b213216e3b865ae3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1e642c5b7c4d46fc9e95d4b11055e958": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "efdecea626104e5d9c8ccf0a225b4af6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cd50d12cf6444fa5a4e0f0578c228139": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_71edd05902764d75979b4ebf802ba4e9", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_63d9ee40b0134e06aad8cf09e67cc240", + "IPY_MODEL_9ad210c85c5c4f76b2da85ab70aa5023" + ] + } + }, + "71edd05902764d75979b4ebf802ba4e9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "63d9ee40b0134e06aad8cf09e67cc240": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_60005ccb4d7f4f7a8b0643676a242480", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7955aca5cdf24cbd9e9d1e45c3aee4cc" + } + }, + "9ad210c85c5c4f76b2da85ab70aa5023": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_3540e549a923497ba2744380228ed9a9", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 65.23it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c29e659156a944159066627c02f013b5" + } + }, + "60005ccb4d7f4f7a8b0643676a242480": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "7955aca5cdf24cbd9e9d1e45c3aee4cc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3540e549a923497ba2744380228ed9a9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c29e659156a944159066627c02f013b5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2309806fbc8643a8a18874ad95fd2214": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_a7d717be8c694102b0b1186b36faf3cd", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_b39d024dff3d4a559e12da351680846b", + "IPY_MODEL_3073921adb744ea08cb8bbef7f9064a4" + ] + } + }, + "a7d717be8c694102b0b1186b36faf3cd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b39d024dff3d4a559e12da351680846b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_7492c1bc37fc498595d822150d326497", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_df3b9c7e77e146da93dcdaf7b9e8b4d7" + } + }, + "3073921adb744ea08cb8bbef7f9064a4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7d8c9ce285fc44709dd07cc61dbcc9f9", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:13<00:00, 35.15it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7c174529934b455bbabd9ab455b18ff1" + } + }, + "7492c1bc37fc498595d822150d326497": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "df3b9c7e77e146da93dcdaf7b9e8b4d7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7d8c9ce285fc44709dd07cc61dbcc9f9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "7c174529934b455bbabd9ab455b18ff1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6caac733dd3d4c3d96ef3058b5495543": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4957fdcba94e4abba191ade7254f842e", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2ea8020606b24121ae734ba2ece62f67", + "IPY_MODEL_3406ea3dc8074ccbbe7d653bf4ef2b5f" + ] + } + }, + "4957fdcba94e4abba191ade7254f842e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2ea8020606b24121ae734ba2ece62f67": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_5fb568a2c2934592802576884d39f445", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_07cbe092538b4448b40d9b920f616eb4" + } + }, + "3406ea3dc8074ccbbe7d653bf4ef2b5f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_87b7f3c0bdbf45beb0e2ada634ce3f63", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 65.20it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_31d78900e0d84480b96c354e1ec3c657" + } + }, + "5fb568a2c2934592802576884d39f445": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "07cbe092538b4448b40d9b920f616eb4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "87b7f3c0bdbf45beb0e2ada634ce3f63": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "31d78900e0d84480b96c354e1ec3c657": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0d5ecbab3f1743e5b79d036cf06fd7d3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_640a5102de1647d98599afea6018e9e2", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_89750a8e51dc43469233fb9ec7fd9bff", + "IPY_MODEL_a432952b87f2461c92903c5c198555a7" + ] + } + }, + "640a5102de1647d98599afea6018e9e2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "89750a8e51dc43469233fb9ec7fd9bff": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_6b2f7013809c48f7a2691584212957fa", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7a7691ddbd804795824382a1f0952036" + } + }, + "a432952b87f2461c92903c5c198555a7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_70871973e51d4b09a4ae754d9ac7848d", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:13<00:00, 35.24it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ca7d95ed59554111ba1d36f08ec3c09e" + } + }, + "6b2f7013809c48f7a2691584212957fa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "7a7691ddbd804795824382a1f0952036": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "70871973e51d4b09a4ae754d9ac7848d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "ca7d95ed59554111ba1d36f08ec3c09e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d7fbd4d4e7984ad393c43f94283ef28a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_047121979c7945caa7afbf9fc73429fe", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_d222637cccc341f9bb2d7931eac61993", + "IPY_MODEL_e8756a255f8b4e938730f744a2032f42" + ] + } + }, + "047121979c7945caa7afbf9fc73429fe": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d222637cccc341f9bb2d7931eac61993": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_18f3aff696e44a71985260b4f706f10b", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_99745a13b71141858363a1417e9d9f95" + } + }, + "e8756a255f8b4e938730f744a2032f42": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_2bd4d615b9b54b47bc6a7a35bd812b1b", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 65.34it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_45f8c6a31fcd4f66b26dffc199847bd6" + } + }, + "18f3aff696e44a71985260b4f706f10b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "99745a13b71141858363a1417e9d9f95": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2bd4d615b9b54b47bc6a7a35bd812b1b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "45f8c6a31fcd4f66b26dffc199847bd6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "272cc78516e84770a5745d73a8502e46": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_885eb277a0844e0aaee6585ea57fc908", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_962342f954b44751b6fd39f98838af5d", + "IPY_MODEL_61d10cd50db2403aa9630383d665d8e6" + ] + } + }, + "885eb277a0844e0aaee6585ea57fc908": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "962342f954b44751b6fd39f98838af5d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_1a0ece78e12e41209ce7664c911656a2", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d549e520d34244c188b6ab52338f4f13" + } + }, + "61d10cd50db2403aa9630383d665d8e6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_4959222b0a8c487fa6d13850bb5841af", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:13<00:00, 35.33it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_09d9c95fc28145d284c64e6ebed37f60" + } + }, + "1a0ece78e12e41209ce7664c911656a2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "d549e520d34244c188b6ab52338f4f13": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4959222b0a8c487fa6d13850bb5841af": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "09d9c95fc28145d284c64e6ebed37f60": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1f3f0efb0b764b39bd4bef1d3a2e71f6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9da58b31a1944488abe030e4fec427b1", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_fde7a3b8c98a4e5bb13a000302f5048c", + "IPY_MODEL_ca1230cbc9dc4063b1cbcab1ed19591a" + ] + } + }, + "9da58b31a1944488abe030e4fec427b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fde7a3b8c98a4e5bb13a000302f5048c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c65e2ef80fe94212bd0baf2fed284999", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2a898812913b4f9b9c4b0347c480d2e8" + } + }, + "ca1230cbc9dc4063b1cbcab1ed19591a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_b984ccc2a57940f1afc2c5a94de060fa", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 65.98it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_93a77eac8d4a4f15ab202f8caa9fb396" + } + }, + "c65e2ef80fe94212bd0baf2fed284999": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2a898812913b4f9b9c4b0347c480d2e8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b984ccc2a57940f1afc2c5a94de060fa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "93a77eac8d4a4f15ab202f8caa9fb396": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f3a803b416814f5bbd13e0a0366d65bc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_8020a0cb10b84c0bbbc2613dfda3cd0e", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4d849113cc57432b8488c1fd0272d4cb", + "IPY_MODEL_04c1ac32ed684560ac18ea23c82f2385" + ] + } + }, + "8020a0cb10b84c0bbbc2613dfda3cd0e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4d849113cc57432b8488c1fd0272d4cb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_47dffe09223c44a181637b33142aef6d", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2676e3bd00344abdbdc3f72f2a26ee50" + } + }, + "04c1ac32ed684560ac18ea23c82f2385": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_31f8b6129d2e4810bb7d49295ea18655", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:13<00:00, 35.03it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_52735618259a4f66a5d55ec9a9edf316" + } + }, + "47dffe09223c44a181637b33142aef6d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2676e3bd00344abdbdc3f72f2a26ee50": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "31f8b6129d2e4810bb7d49295ea18655": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "52735618259a4f66a5d55ec9a9edf316": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1a10813163224bca8d0e91195ab4b223": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_79220360c57d48edaab25a8d3c750cb6", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a1b198f7da2c473c9fefe554be40b20b", + "IPY_MODEL_ee65b28eb8b34ab9b9a64ec9ece3c8ba" + ] + } + }, + "79220360c57d48edaab25a8d3c750cb6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a1b198f7da2c473c9fefe554be40b20b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_6ffe38694a974dfdbb8c81865eab086b", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_408ff7988b2e407c8d8b6170c690521c" + } + }, + "ee65b28eb8b34ab9b9a64ec9ece3c8ba": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_06590f2a4779457bad62623017cab9f7", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 64.78it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_11e6959eb5694e7ebf1c34859b2b36cb" + } + }, + "6ffe38694a974dfdbb8c81865eab086b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "408ff7988b2e407c8d8b6170c690521c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "06590f2a4779457bad62623017cab9f7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "11e6959eb5694e7ebf1c34859b2b36cb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9c53683e28854478ad2f933237dd8381": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_04e0bf2f002149e29a5922df7ced058d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_64402a0ec042424c8c8f951c8aa70379", + "IPY_MODEL_c0cc9df21a2a4e4d906f920ac184176a" + ] + } + }, + "04e0bf2f002149e29a5922df7ced058d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "64402a0ec042424c8c8f951c8aa70379": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_3b6c5b957daa45098ade3e088fd4e77b", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c9252581c8e04f26b6c459e0fc953882" + } + }, + "c0cc9df21a2a4e4d906f920ac184176a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_794db6c77d5d41e0a6e1a49e05d3cc27", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:13<00:00, 36.04it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ab76ac7d3ddc477cb2f0447da85da87e" + } + }, + "3b6c5b957daa45098ade3e088fd4e77b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c9252581c8e04f26b6c459e0fc953882": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "794db6c77d5d41e0a6e1a49e05d3cc27": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "ab76ac7d3ddc477cb2f0447da85da87e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5add38f117994a71886b25172844e22c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_c1795b653b794a1c84a8f2eaa5a839fd", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_c05211fc457f44ff8a5b7d5422d0ad23", + "IPY_MODEL_1af927641e34438bb315e2d155996ef6" + ] + } + }, + "c1795b653b794a1c84a8f2eaa5a839fd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c05211fc457f44ff8a5b7d5422d0ad23": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_caa772cc8d6f44299d8113f8ca4c9893", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1a3e553ed60f4b1a934bc8a7325cd4f5" + } + }, + "1af927641e34438bb315e2d155996ef6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_b26bb7ec2bf741e2b2ba18680d0b731c", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 65.86it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d14217126ae2417ca2cf211f06a05390" + } + }, + "caa772cc8d6f44299d8113f8ca4c9893": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "1a3e553ed60f4b1a934bc8a7325cd4f5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b26bb7ec2bf741e2b2ba18680d0b731c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "d14217126ae2417ca2cf211f06a05390": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9c43d76a970a42868b445da3dd7e342e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_3afc366062bd46cc988b71cf9e63e9b1", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_33343b2d8fe7412e8bd241f923f6cf37", + "IPY_MODEL_bdabec12b74d49f69bb4a4669fdca68e" + ] + } + }, + "3afc366062bd46cc988b71cf9e63e9b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "33343b2d8fe7412e8bd241f923f6cf37": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_11d80d9d3920418fa0408492d3ac328e", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5683a49517d74d129edff2193a23c14e" + } + }, + "bdabec12b74d49f69bb4a4669fdca68e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7d9fa8df844240bbad49db2712c7be5e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:13<00:00, 35.12it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a12fd212a8bc434f88ce6c9de8cb53dc" + } + }, + "11d80d9d3920418fa0408492d3ac328e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5683a49517d74d129edff2193a23c14e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7d9fa8df844240bbad49db2712c7be5e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a12fd212a8bc434f88ce6c9de8cb53dc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e667db1feda242c695bcd2519911026c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_528c76ff6f9d4241a44dba3df8d386bc", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_13afea24238346caaad9ac2d66824024", + "IPY_MODEL_4de5af9f72ec46dc83ae5ec8324c84c8" + ] + } + }, + "528c76ff6f9d4241a44dba3df8d386bc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "13afea24238346caaad9ac2d66824024": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_d7857f4869404962b765b0bbef593f50", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7b10d78fe2a3484a81483381ba0fad4c" + } + }, + "4de5af9f72ec46dc83ae5ec8324c84c8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c1ac0c7f468041c0942312146a45ab03", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 66.53it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e16f416ebf6f4f94bab3bc20153eaa9d" + } + }, + "d7857f4869404962b765b0bbef593f50": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "7b10d78fe2a3484a81483381ba0fad4c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c1ac0c7f468041c0942312146a45ab03": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e16f416ebf6f4f94bab3bc20153eaa9d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "01f46728435b4cfe909b7b40ddae1527": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d96e42df34a449e6929dfdf677f0114f", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_078d910e27b3400991c6dc70cb6f71a3", + "IPY_MODEL_e3737b8c808c486bbb6f3587eefe3c69" + ] + } + }, + "d96e42df34a449e6929dfdf677f0114f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "078d910e27b3400991c6dc70cb6f71a3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_2f0212d47a7a4d4c88e1d4f40e1d93d7", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5e8116a08f484f0b9fefaadb868576f1" + } + }, + "e3737b8c808c486bbb6f3587eefe3c69": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c4e0aee3a894438184fdb0d6b8b0013d", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:13<00:00, 35.85it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f5e3465000b646cbb52af4a9a8d39e5e" + } + }, + "2f0212d47a7a4d4c88e1d4f40e1d93d7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5e8116a08f484f0b9fefaadb868576f1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c4e0aee3a894438184fdb0d6b8b0013d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f5e3465000b646cbb52af4a9a8d39e5e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d6229900bd294b6dae0e5587a7ce0e12": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_0115ddc4cc894c37ad2b7ff04bdb8c9f", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4b0c2b500b954eabaac0b4f55c101028", + "IPY_MODEL_675bc3536a274118af26ba46c6c0804a" + ] + } + }, + "0115ddc4cc894c37ad2b7ff04bdb8c9f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4b0c2b500b954eabaac0b4f55c101028": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_edf76f8d39864d53bad902cde636d147", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_747188a437f841cdb0693687949e288b" + } + }, + "675bc3536a274118af26ba46c6c0804a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_853f1c52872a4e7196aeccae544abaab", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:07<00:00, 65.03it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_10b12db2764d4f37b5b560c1a7ffd3d8" + } + }, + "edf76f8d39864d53bad902cde636d147": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "747188a437f841cdb0693687949e288b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "853f1c52872a4e7196aeccae544abaab": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "10b12db2764d4f37b5b560c1a7ffd3d8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d25b7d839c624ed09375132e6ac0b95f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_ebf73e8f15b445f8bd7139dd305883cf", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_fa03ec4169884e7ca5a6f7c8856d3e4b", + "IPY_MODEL_5f040765ecc8452a84c8115bbdfa99b1" + ] + } + }, + "ebf73e8f15b445f8bd7139dd305883cf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fa03ec4169884e7ca5a6f7c8856d3e4b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c47d5048ed974e35a1474522ed6896c0", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d23da7dafdd84781aed66f41ef19c97a" + } + }, + "5f040765ecc8452a84c8115bbdfa99b1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a613086c45ab471e8ee8a570b7e1fae5", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [1:31:07<00:00, 546.77s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e08a862e0f904325a419de323563567a" + } + }, + "c47d5048ed974e35a1474522ed6896c0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "d23da7dafdd84781aed66f41ef19c97a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a613086c45ab471e8ee8a570b7e1fae5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e08a862e0f904325a419de323563567a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "88c9b1a848b24745937248714dad170d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_071fb43083ff43b887ad0a860e872f60", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_701d108179a449e399c47c5ab1f77c37", + "IPY_MODEL_04b5787509944d489cc1ba968e848e3b" + ] + } + }, + "071fb43083ff43b887ad0a860e872f60": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "701d108179a449e399c47c5ab1f77c37": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_49f66af6da634239900c974b69f99f4b", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6c0fc46da66b4a03aaee112bcf897e79" + } + }, + "04b5787509944d489cc1ba968e848e3b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_f1feb849e78a46c986431b775ee2ba15", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:37<00:00, 1.26it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_90760c5bff624963afe28d109744da04" + } + }, + "49f66af6da634239900c974b69f99f4b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6c0fc46da66b4a03aaee112bcf897e79": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f1feb849e78a46c986431b775ee2ba15": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "90760c5bff624963afe28d109744da04": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "08f7dcc9b9884e16b5eff3a46f34df09": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_3fb8dc64ccb54af3b9b8cb03e2741b90", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_0adfdc0b46354625b2b97f10e43f8082", + "IPY_MODEL_d734debffbf74f33823f1835eb02e84b" + ] + } + }, + "3fb8dc64ccb54af3b9b8cb03e2741b90": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0adfdc0b46354625b2b97f10e43f8082": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_165675ac42ab4aa0a36b5f80c691ff23", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4ff162bf99c04578815b6a9849e1a77e" + } + }, + "d734debffbf74f33823f1835eb02e84b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_6be1e26212a9456c82984b085330d500", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:26<00:00, 3.41it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_30c47d0979154b1faece54e59ee2f7e6" + } + }, + "165675ac42ab4aa0a36b5f80c691ff23": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4ff162bf99c04578815b6a9849e1a77e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6be1e26212a9456c82984b085330d500": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "30c47d0979154b1faece54e59ee2f7e6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "71e4976ae6264acf8a8c8afdafef95ca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_a8491921c6ee49ed945e821cf8d195c6", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_fc98ed5e6cb942b9bafe86aa35bf087f", + "IPY_MODEL_05886136264c45f78c88dbc28831c51d" + ] + } + }, + "a8491921c6ee49ed945e821cf8d195c6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fc98ed5e6cb942b9bafe86aa35bf087f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b7b8a5be76d641fe8e7538bca9a2cadc", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f362e10aa1784a4b8243cb731b7cf98e" + } + }, + "05886136264c45f78c88dbc28831c51d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_b1e255c343374248a1cdb2faa207d314", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:37<00:00, 1.27it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6a34a28ecdd341bab3229cfc16527992" + } + }, + "b7b8a5be76d641fe8e7538bca9a2cadc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f362e10aa1784a4b8243cb731b7cf98e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b1e255c343374248a1cdb2faa207d314": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "6a34a28ecdd341bab3229cfc16527992": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "91a2493e77444a2f98991f696887b880": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_35aef98ff31d4de891e05f3f85bdb6ef", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_f07779dbe4bd42e081452c2ad8699885", + "IPY_MODEL_87798f79fbdb4d00be06bb882575f4ca" + ] + } + }, + "35aef98ff31d4de891e05f3f85bdb6ef": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f07779dbe4bd42e081452c2ad8699885": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_d5a957e4748544eaaae613fc64fe781c", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3051f7b55add4f5e962e0f7ab843214c" + } + }, + "87798f79fbdb4d00be06bb882575f4ca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_f0dc085a15c74475b40b09bd3529812e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:26<00:00, 3.42it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_70952c5beee043168934a2cf8d912c35" + } + }, + "d5a957e4748544eaaae613fc64fe781c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "3051f7b55add4f5e962e0f7ab843214c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f0dc085a15c74475b40b09bd3529812e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "70952c5beee043168934a2cf8d912c35": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b12119c7db874e22af8f9e7fb25ca371": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_78175d12db5e48038766e6eb420c3261", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_743d7bf27d0c42da8d71de39fcd00f64", + "IPY_MODEL_2cdbdcd76ab54aac9cc9919757d3ace6" + ] + } + }, + "78175d12db5e48038766e6eb420c3261": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "743d7bf27d0c42da8d71de39fcd00f64": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_86a5ae7d37f64e489e2733eab79df543", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3494b3e4a0b241a3a7e191ca28a09769" + } + }, + "2cdbdcd76ab54aac9cc9919757d3ace6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c0d03d16eade4b9fac837df9e5dbe43e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:37<00:00, 1.28it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_fe15da0f51ce4ba18d8ebf0196a661f5" + } + }, + "86a5ae7d37f64e489e2733eab79df543": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "3494b3e4a0b241a3a7e191ca28a09769": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c0d03d16eade4b9fac837df9e5dbe43e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "fe15da0f51ce4ba18d8ebf0196a661f5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ec4b73ca74da4450ab7915660653e4e7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_407737b7b98a49c7b0cc979885d502ba", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_af4fa28a48844aacad88768bff98c2a2", + "IPY_MODEL_89e28e6a5b8b4f2b93b0d34ca5855ee9" + ] + } + }, + "407737b7b98a49c7b0cc979885d502ba": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "af4fa28a48844aacad88768bff98c2a2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b54a5f55d69d4362a03bea6ad1e0a27b", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8e775e61307040d1a1ffe7dcaf0d6c6b" + } + }, + "89e28e6a5b8b4f2b93b0d34ca5855ee9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_bf5dfb93a917473693292caa284ba18e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:25<00:00, 3.47it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a39a86f905b54d0f9dec564b0114dbf1" + } + }, + "b54a5f55d69d4362a03bea6ad1e0a27b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "8e775e61307040d1a1ffe7dcaf0d6c6b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bf5dfb93a917473693292caa284ba18e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a39a86f905b54d0f9dec564b0114dbf1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e6f352e44edd48e488a2ad2786c27d43": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_aa81a156b6d246f7bb38bd8d2434c557", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_fd0cbc10816e4eceaae9e130d55982ba", + "IPY_MODEL_be74b7b788ac41918f530b0dcf3f5a32" + ] + } + }, + "aa81a156b6d246f7bb38bd8d2434c557": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fd0cbc10816e4eceaae9e130d55982ba": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_8202eed092544209984d6fbfbf528b48", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_977d92e4704f4ca3996713ee58a16671" + } + }, + "be74b7b788ac41918f530b0dcf3f5a32": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a1de8e87f84d4b39b0b0f4aa29269271", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:37<00:00, 1.26it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c80a9a5988894bcf8492d2b66b5d0091" + } + }, + "8202eed092544209984d6fbfbf528b48": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "977d92e4704f4ca3996713ee58a16671": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a1de8e87f84d4b39b0b0f4aa29269271": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c80a9a5988894bcf8492d2b66b5d0091": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2d8b591920bf4925a73c59b04ce3bb67": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_725f051e35cc41009ca21e81239cbd60", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_41e80afc48a14948b5a14321bf0a1b43", + "IPY_MODEL_b07a9867e67a4ea3b0c23d4816de2710" + ] + } + }, + "725f051e35cc41009ca21e81239cbd60": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "41e80afc48a14948b5a14321bf0a1b43": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_2ad19c978ab641aea73a458026390583", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_97a89ac0cdcc4495b930e46e815966d8" + } + }, + "b07a9867e67a4ea3b0c23d4816de2710": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_39aae143738a4dd889ebed9b89913c40", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:26<00:00, 3.43it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_66cc10402e054556853dd9bb8d57ae05" + } + }, + "2ad19c978ab641aea73a458026390583": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "97a89ac0cdcc4495b930e46e815966d8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "39aae143738a4dd889ebed9b89913c40": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "66cc10402e054556853dd9bb8d57ae05": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e535abaa96b741d59b0aca55099b7860": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_8d6a376d80f64b579787a64ff495f83c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_007ad115c1b54fde8913f65a45b1c4b7", + "IPY_MODEL_babd0ec1a5174cb2a37904fef1665801" + ] + } + }, + "8d6a376d80f64b579787a64ff495f83c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "007ad115c1b54fde8913f65a45b1c4b7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_7f7c080df64748d987f5d9ff2b4cd8d6", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_05542194b3ad4dca8dcb90cb836d8a03" + } + }, + "babd0ec1a5174cb2a37904fef1665801": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c332bd6be9fb498b950e01d6488448b6", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:38<00:00, 1.27it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9b2cf268842740e580234b5c1be04c2a" + } + }, + "7f7c080df64748d987f5d9ff2b4cd8d6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "05542194b3ad4dca8dcb90cb836d8a03": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c332bd6be9fb498b950e01d6488448b6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9b2cf268842740e580234b5c1be04c2a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f1d81380eb0b428d8ea9204f1cdf9077": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9040453e535e476c9a0a29e927e074d4", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4b63c7a39a604487b7b4adfe3a3fbd70", + "IPY_MODEL_442e75d266c144d3b1d6c9dd430f46ca" + ] + } + }, + "9040453e535e476c9a0a29e927e074d4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4b63c7a39a604487b7b4adfe3a3fbd70": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4e3a09cd1b754654a965680b8833690a", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_75ccc64a477b4b57a4e4c8a7244aa30c" + } + }, + "442e75d266c144d3b1d6c9dd430f46ca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7635155f182148d29f54030d5f3ec242", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:26<00:00, 3.43it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a2ef85bfc2d14ba79bd5eeac3a05992f" + } + }, + "4e3a09cd1b754654a965680b8833690a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "75ccc64a477b4b57a4e4c8a7244aa30c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7635155f182148d29f54030d5f3ec242": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a2ef85bfc2d14ba79bd5eeac3a05992f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "88c3d52a373e405e853ad83f8fffffd2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_de4c303de61e452ab72fbbb97ec264c0", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_80eff96666eb4308b7a5416d0d12284f", + "IPY_MODEL_250f9d46e1ea4990b70fd77991d63157" + ] + } + }, + "de4c303de61e452ab72fbbb97ec264c0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "80eff96666eb4308b7a5416d0d12284f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_57dd9c252be04620a337a72e9ec8aab6", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2146f738bfcf496c912cdf519266a770" + } + }, + "250f9d46e1ea4990b70fd77991d63157": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_09a9831c40564aa49c11893f9765146b", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:40<00:00, 1.26it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a6ea5ac3370148b7950c74887f832b39" + } + }, + "57dd9c252be04620a337a72e9ec8aab6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2146f738bfcf496c912cdf519266a770": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "09a9831c40564aa49c11893f9765146b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a6ea5ac3370148b7950c74887f832b39": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "73da37a005ac4c59afd4087adc5302fa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_e4e7de049b174b0fac81346fff8310b6", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_31e8c593b0734332a2c0841bd0c8ca4f", + "IPY_MODEL_42f9bd74c1b446499f51856c426edf1b" + ] + } + }, + "e4e7de049b174b0fac81346fff8310b6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "31e8c593b0734332a2c0841bd0c8ca4f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_d48f3b7fc27b4046ae8057afcb75ae92", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1fec32c26f95455dae24c559c56484f0" + } + }, + "42f9bd74c1b446499f51856c426edf1b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_81dc00bd02dc470f9d82222eb6d77bd1", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:27<00:00, 3.41it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_afb82487ae044f32b819a56421745f65" + } + }, + "d48f3b7fc27b4046ae8057afcb75ae92": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "1fec32c26f95455dae24c559c56484f0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "81dc00bd02dc470f9d82222eb6d77bd1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "afb82487ae044f32b819a56421745f65": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3673752cb8cc4cfea726c337895aaedc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_b2ef19e9f4d84f95910f6fd68a947340", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_c26bfb69f2444176ac5c783c3668c87c", + "IPY_MODEL_4fdc47427c1e47e6881ed2d598e26de8" + ] + } + }, + "b2ef19e9f4d84f95910f6fd68a947340": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c26bfb69f2444176ac5c783c3668c87c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ecac19786ccd4b8eac76205994763c85", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c5db80071a9841f29456767601ee58e0" + } + }, + "4fdc47427c1e47e6881ed2d598e26de8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_bf9a2a53de824ebbb9c63e2a87527053", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:41<00:00, 1.26it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1e98b502fb2845dabdb1335b9832ff92" + } + }, + "ecac19786ccd4b8eac76205994763c85": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c5db80071a9841f29456767601ee58e0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bf9a2a53de824ebbb9c63e2a87527053": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "1e98b502fb2845dabdb1335b9832ff92": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "43a6204141594338a67a307e626c5d37": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_1bd47eded3e04dddabc0647deef9887a", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_9502380cdafe48d4a4306e345e5ec70d", + "IPY_MODEL_2078465b25ef4a45afee6e7143021d00" + ] + } + }, + "1bd47eded3e04dddabc0647deef9887a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9502380cdafe48d4a4306e345e5ec70d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_af4598ca23414c4898182c1f2a3cada9", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8dc7a1de79c34a24b0e288e4f9c4b968" + } + }, + "2078465b25ef4a45afee6e7143021d00": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7eb95848a7a744fe91cff94112a44b62", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:27<00:00, 3.41it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_526e3b9e81884197bc6c4b0a66f71105" + } + }, + "af4598ca23414c4898182c1f2a3cada9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "8dc7a1de79c34a24b0e288e4f9c4b968": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7eb95848a7a744fe91cff94112a44b62": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "526e3b9e81884197bc6c4b0a66f71105": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7cc5f24ddf684376abf3fe7cbb1e0132": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_fef35d32178e4c08800b0b5c8d2e8e54", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_84ac056b96e9460f8690dbfaf5d520b6", + "IPY_MODEL_bd52b8ddd2af48bcb7347d300b51fb5c" + ] + } + }, + "fef35d32178e4c08800b0b5c8d2e8e54": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "84ac056b96e9460f8690dbfaf5d520b6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_838e81cc159a4487a135d1d9833125e1", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_39c6ad1823fb4209a65e7bbdaf5e48b1" + } + }, + "bd52b8ddd2af48bcb7347d300b51fb5c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_4563b7b83d554fd388e672a67711f44c", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:40<00:00, 1.26it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_12b73669417542239469f62cfb66e03d" + } + }, + "838e81cc159a4487a135d1d9833125e1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "39c6ad1823fb4209a65e7bbdaf5e48b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4563b7b83d554fd388e672a67711f44c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "12b73669417542239469f62cfb66e03d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d05a217700bf48289290406fc03d04ac": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_cf8772b49a0b45f1ab794dcb0d1bd1fa", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4b68140e54734e7cab39be32a4506d65", + "IPY_MODEL_e056fb523d3942ab9bec357ef69ead3a" + ] + } + }, + "cf8772b49a0b45f1ab794dcb0d1bd1fa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4b68140e54734e7cab39be32a4506d65": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_13af22437e0b436a868d3ca1eec07514", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c22011034bad4d0cb6959887f7ccd81f" + } + }, + "e056fb523d3942ab9bec357ef69ead3a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_1fb5ae31ffa544babdca5c407b99d3cb", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:27<00:00, 3.40it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c778f9edbcbe4e19a06b7372d640386f" + } + }, + "13af22437e0b436a868d3ca1eec07514": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c22011034bad4d0cb6959887f7ccd81f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1fb5ae31ffa544babdca5c407b99d3cb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c778f9edbcbe4e19a06b7372d640386f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "dbce307d43644750b2e27c002793a0e1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_6bfd49e4dd4243c482d3826bb8048a70", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_22b0abeedb5f4845a3622b5899cb3737", + "IPY_MODEL_27027285e3924073bb8fb52838ca83d5" + ] + } + }, + "6bfd49e4dd4243c482d3826bb8048a70": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "22b0abeedb5f4845a3622b5899cb3737": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_8d0fbf84a1f14f1a90d55dd246b7a413", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_02f96e0dca0e4b0c9c66b8464f5ce9f5" + } + }, + "27027285e3924073bb8fb52838ca83d5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_28ac1b13213645cba548a391f6147de7", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:40<00:00, 1.25it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_19545d3d931a4ab38751f5d8cce83064" + } + }, + "8d0fbf84a1f14f1a90d55dd246b7a413": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "02f96e0dca0e4b0c9c66b8464f5ce9f5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "28ac1b13213645cba548a391f6147de7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "19545d3d931a4ab38751f5d8cce83064": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "56cf6e9ec2ef4dae81874cfd4d0d52b9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2d6357e3192f4ec7975bc315326c9cfe", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2a6a72280ef3417db4073e23e8f9aec3", + "IPY_MODEL_78fa2dbebe9941ddb3e7e5ac83145ba5" + ] + } + }, + "2d6357e3192f4ec7975bc315326c9cfe": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2a6a72280ef3417db4073e23e8f9aec3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_630e0b379b8e4aef87ef1d818f8884ff", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_968730030602403c9921f1b41a5e0e40" + } + }, + "78fa2dbebe9941ddb3e7e5ac83145ba5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_bb8f895b34284b759aba281a0c36c34d", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:27<00:00, 3.41it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8c4f77239e874a1492e546ad6049c289" + } + }, + "630e0b379b8e4aef87ef1d818f8884ff": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "968730030602403c9921f1b41a5e0e40": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bb8f895b34284b759aba281a0c36c34d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "8c4f77239e874a1492e546ad6049c289": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2fead104fe944129b270ba8522023d62": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_96dfcf2f378d4ecd82f6ec86da8d0191", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_957b88fd0b7647998c70bb2f4b8f59dc", + "IPY_MODEL_6a3d6941fb38476c9fd4f95b148adcb1" + ] + } + }, + "96dfcf2f378d4ecd82f6ec86da8d0191": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "957b88fd0b7647998c70bb2f4b8f59dc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b0b72cf3986b470b86619282a2a2d9ee", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2130edc0752649fba6573a4ab8e6a9b1" + } + }, + "6a3d6941fb38476c9fd4f95b148adcb1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_85704b2aecd9453b8c4c2d839612a738", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [06:38<00:00, 1.27it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_87d118fa19a544c3a346d196f65e74b6" + } + }, + "b0b72cf3986b470b86619282a2a2d9ee": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2130edc0752649fba6573a4ab8e6a9b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "85704b2aecd9453b8c4c2d839612a738": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "87d118fa19a544c3a346d196f65e74b6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9041d94f92194be3b9c83cae23dd1041": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_bba17830163f4ce9a6ed6c6c79474c53", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_5681a6296bc84706b9d901a504380934", + "IPY_MODEL_b0f04b3dcd54467c9c8598ce4a2ffdec" + ] + } + }, + "bba17830163f4ce9a6ed6c6c79474c53": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5681a6296bc84706b9d901a504380934": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b0d6bdd52fa749f3a636758958017698", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_84625e7a8faf4fc7942c710764f19a4b" + } + }, + "b0f04b3dcd54467c9c8598ce4a2ffdec": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_00fb940563a84b7189b090f8ce536756", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:26<00:00, 3.47it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c263abfd0efb4465bf3d7db66ccd20bd" + } + }, + "b0d6bdd52fa749f3a636758958017698": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "84625e7a8faf4fc7942c710764f19a4b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "00fb940563a84b7189b090f8ce536756": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c263abfd0efb4465bf3d7db66ccd20bd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ed662bbd2d254427a5ee78dcff2f9685": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4d4a3286a21a48f1b8b16509744ad266", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_9bf1cee0c2ef41609a8b32dd178f138b", + "IPY_MODEL_680e9ecbfaac40759acb2526640d6b9f" + ] + } + }, + "4d4a3286a21a48f1b8b16509744ad266": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9bf1cee0c2ef41609a8b32dd178f138b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_78b6880dc6ba4cc3bbd8525bba01a1b5", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2739811d981843998bcdb5d5951740c5" + } + }, + "680e9ecbfaac40759acb2526640d6b9f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9bbb705579bc47fdac532fe79c3dbefd", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [21:18<00:00, 127.84s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_61d13c2a72434bc1a91c7a377e677e88" + } + }, + "78b6880dc6ba4cc3bbd8525bba01a1b5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2739811d981843998bcdb5d5951740c5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9bbb705579bc47fdac532fe79c3dbefd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "61d13c2a72434bc1a91c7a377e677e88": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9c9817a318ac4729a98d7781fd33df53": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_dddf6ec0abc94b4ea47c518351bfa0fe", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_7772bd613b1a4f4eb701e237729c6a44", + "IPY_MODEL_4d429def679542fab4b2a26b760870d3" + ] + } + }, + "dddf6ec0abc94b4ea47c518351bfa0fe": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7772bd613b1a4f4eb701e237729c6a44": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f155394c17784c658a3ae2de888b2043", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4b8d2236d9e2480586f8b328847b42c7" + } + }, + "4d429def679542fab4b2a26b760870d3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_97c9fc845a684453afc1cd8d5d7fe4eb", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:29<00:00, 16.67it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_14c9eb55bc7847bb99d20cae21f70d9f" + } + }, + "f155394c17784c658a3ae2de888b2043": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4b8d2236d9e2480586f8b328847b42c7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "97c9fc845a684453afc1cd8d5d7fe4eb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "14c9eb55bc7847bb99d20cae21f70d9f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c953bb5c19fe47678751b1a02f77f96a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d0615cb0f7624a128457cc2b704d8e06", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ddce45ae06854a1794497758340c8ae0", + "IPY_MODEL_8054d91df1e24a9cb11a2ed8d79eb77f" + ] + } + }, + "d0615cb0f7624a128457cc2b704d8e06": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ddce45ae06854a1794497758340c8ae0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4b1d503b0f0046029253bfef7e00077c", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_22079375e22245a984ec158b9a307139" + } + }, + "8054d91df1e24a9cb11a2ed8d79eb77f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_210c6b10b71e42e59bfb12ddf0c7a07f", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:09<00:00, 52.95it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9923054f157c4cf9b154dc093c562b03" + } + }, + "4b1d503b0f0046029253bfef7e00077c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "22079375e22245a984ec158b9a307139": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "210c6b10b71e42e59bfb12ddf0c7a07f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9923054f157c4cf9b154dc093c562b03": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "56bc8f1a142c4a479cc152e024119855": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_99f55e8254f34c5284b7b0b0f6932bdf", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_e17c8e63cf134441817d0ccef21bc68d", + "IPY_MODEL_a33d52d54ac74d06ac235f7a532792ef" + ] + } + }, + "99f55e8254f34c5284b7b0b0f6932bdf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e17c8e63cf134441817d0ccef21bc68d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_53660e7fe3394bbb96579b5200adfd89", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f3f1450bed1b445e94b79025cd5e30ec" + } + }, + "a33d52d54ac74d06ac235f7a532792ef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_bab062acba34415f952894be66064b43", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:29<00:00, 16.39it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d5f394cb700740a2952c9348c7a8440a" + } + }, + "53660e7fe3394bbb96579b5200adfd89": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f3f1450bed1b445e94b79025cd5e30ec": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bab062acba34415f952894be66064b43": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "d5f394cb700740a2952c9348c7a8440a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8af8ffeef98f401ca018d3f84d633609": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_03c6be5d27cc4eb99e35e42cda589d9d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_f8a27b65098441ceabae44866432ff61", + "IPY_MODEL_c9c34f6b7de24d59855f91fcc9f4e850" + ] + } + }, + "03c6be5d27cc4eb99e35e42cda589d9d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f8a27b65098441ceabae44866432ff61": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_1592265b610a472db413ad10550ed759", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8bed829f673d49cd918837ee949f8f0a" + } + }, + "c9c34f6b7de24d59855f91fcc9f4e850": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_125417bad33b42b79d10850ac021013f", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:09<00:00, 49.28it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_cf8dc5dc897542d08b9b9f7131a4fb64" + } + }, + "1592265b610a472db413ad10550ed759": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "8bed829f673d49cd918837ee949f8f0a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "125417bad33b42b79d10850ac021013f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "cf8dc5dc897542d08b9b9f7131a4fb64": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ec119b7e300847d0b6aab653ea034d39": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_52420a112c2a4686b8b9dc57fe2d67ce", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_e6a342f100514726b219e4c70ea90726", + "IPY_MODEL_156a5c61c63640c1bc48963ac409b17b" + ] + } + }, + "52420a112c2a4686b8b9dc57fe2d67ce": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e6a342f100514726b219e4c70ea90726": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_69f4caf256c646c6b23944635f9188af", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0adb183852754e09a43463f0e75906d0" + } + }, + "156a5c61c63640c1bc48963ac409b17b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e7849179e91c4db4886e906e5ac7f2d3", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:29<00:00, 16.34it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e14a09f8125e47b09ed3598c879b30b8" + } + }, + "69f4caf256c646c6b23944635f9188af": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "0adb183852754e09a43463f0e75906d0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e7849179e91c4db4886e906e5ac7f2d3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e14a09f8125e47b09ed3598c879b30b8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "367b0f06c44a4efaa6085e9073d60962": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_e7b241c2453f4daa928f784916f6e01a", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_27c7b669151843ba90041437c54ef950", + "IPY_MODEL_c25b2ddeb53349639f2b400593ae0501" + ] + } + }, + "e7b241c2453f4daa928f784916f6e01a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "27c7b669151843ba90041437c54ef950": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_cc2374d9140347239994db82bd2230d8", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_72b109876be845029f13765f95533bf5" + } + }, + "c25b2ddeb53349639f2b400593ae0501": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_901a36bed6f04dfea9b98047491a5c12", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:09<00:00, 52.09it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_dce2250ec706494f986bd4050dc66ce6" + } + }, + "cc2374d9140347239994db82bd2230d8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "72b109876be845029f13765f95533bf5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "901a36bed6f04dfea9b98047491a5c12": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "dce2250ec706494f986bd4050dc66ce6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b2d5f088d530490296d990ebc3ad89ed": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2476301d78a143c79e5562823ffcdb7b", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_9146989261bb440dac28ccc1bcf8addc", + "IPY_MODEL_7f4317a0c96943c6b9ac10e579b08908" + ] + } + }, + "2476301d78a143c79e5562823ffcdb7b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9146989261bb440dac28ccc1bcf8addc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_bd8eb47ce7654946bff9b3a51c7426d0", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3f38722f18374b5e80e2a7d6de2b7b2d" + } + }, + "7f4317a0c96943c6b9ac10e579b08908": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_28c4d9d2ea7f4691963b6e540d09fc9e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:29<00:00, 16.77it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6b17299dcebd4ae3aa7a90cf7929cf6b" + } + }, + "bd8eb47ce7654946bff9b3a51c7426d0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "3f38722f18374b5e80e2a7d6de2b7b2d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "28c4d9d2ea7f4691963b6e540d09fc9e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "6b17299dcebd4ae3aa7a90cf7929cf6b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0d92d19b45e249aa9654944a76438546": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_7a1106d23d154e84afd9d67a638533e7", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_292b622a3b044a7b8d83155c3730977b", + "IPY_MODEL_98f60216d60c420abd1ad2d9c7a9b679" + ] + } + }, + "7a1106d23d154e84afd9d67a638533e7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "292b622a3b044a7b8d83155c3730977b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_05ca36aca2564268b3ef7fd7dc708ac4", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_005ca8d494bd4156b83e672e4bcca62f" + } + }, + "98f60216d60c420abd1ad2d9c7a9b679": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_f5f3136828c54773afb43c3110296a51", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:09<00:00, 50.87it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_633821ef4d694b52851f68a04f78f691" + } + }, + "05ca36aca2564268b3ef7fd7dc708ac4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "005ca8d494bd4156b83e672e4bcca62f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f5f3136828c54773afb43c3110296a51": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "633821ef4d694b52851f68a04f78f691": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "47cad887ba5943cfba6f3bb1c7f9e078": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_7299ec1a60d4447794b497ecce3aa1a4", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_06c3cc1c26f04c1686fbca10fdb8527b", + "IPY_MODEL_cb7fec5b8b484a29851afde9dc00fa21" + ] + } + }, + "7299ec1a60d4447794b497ecce3aa1a4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "06c3cc1c26f04c1686fbca10fdb8527b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_0495209b15774858a3eb19e4cc28938f", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d062225617674ebe96e6dd8fcc1b9ee6" + } + }, + "cb7fec5b8b484a29851afde9dc00fa21": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_949588afa5fe411caa75fdea577fac4f", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:29<00:00, 16.34it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c4939ea226154a2cb2d1d94586ab1ff0" + } + }, + "0495209b15774858a3eb19e4cc28938f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "d062225617674ebe96e6dd8fcc1b9ee6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "949588afa5fe411caa75fdea577fac4f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c4939ea226154a2cb2d1d94586ab1ff0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8339bd6b9850471b812136a65f78102d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_0080f51bb78d4623989042a4a04a6a6a", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_6c50a74be9be41fca90a5a55acad8d44", + "IPY_MODEL_5dd56541b4b841c1a21788148b8573e9" + ] + } + }, + "0080f51bb78d4623989042a4a04a6a6a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6c50a74be9be41fca90a5a55acad8d44": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b16bf1326f624cef9c34badd4210f531", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e2135ba6593a4affb4871ed3b650f7cd" + } + }, + "5dd56541b4b841c1a21788148b8573e9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e24c0275052f4fb58e8e358a595968e3", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:09<00:00, 51.62it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d42b37a9d457457184598d7c3b4bd01e" + } + }, + "b16bf1326f624cef9c34badd4210f531": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e2135ba6593a4affb4871ed3b650f7cd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e24c0275052f4fb58e8e358a595968e3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "d42b37a9d457457184598d7c3b4bd01e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b862a437a5dc40fc9663a01849eb1cc9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_c1e2fbfa9eb84049a0dc8975e95746bd", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_712a0f000cb3430ab37c41fef7ff52da", + "IPY_MODEL_99d39ca350094e4e834a24608add579e" + ] + } + }, + "c1e2fbfa9eb84049a0dc8975e95746bd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "712a0f000cb3430ab37c41fef7ff52da": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_543462ae96424d078a7e5b47ef1a905b", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0fb57a4d3f8d488399e1529bdab7db50" + } + }, + "99d39ca350094e4e834a24608add579e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_77c8c924b6f94ba08c57e4a24d000f80", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:29<00:00, 16.43it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_97982df548854defb7191a3efb0856b4" + } + }, + "543462ae96424d078a7e5b47ef1a905b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "0fb57a4d3f8d488399e1529bdab7db50": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "77c8c924b6f94ba08c57e4a24d000f80": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "97982df548854defb7191a3efb0856b4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "53954c2d5a054c78aa8b4a76abf05961": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_13b0752ad31e4eca9e1d6b3880c356c7", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_582f63dcfbb142c495a3f334e4eeef9c", + "IPY_MODEL_81de7723ff51439e8a8365722821ecff" + ] + } + }, + "13b0752ad31e4eca9e1d6b3880c356c7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "582f63dcfbb142c495a3f334e4eeef9c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_407468dcadc24f8499d1b3abe76318f8", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_fdf6f901c76e44e9bbd615cbe3cb2ca1" + } + }, + "81de7723ff51439e8a8365722821ecff": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_508ae0b245b141c4ab618a67904f1a37", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:09<00:00, 52.15it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_02a4d21a302545c08f58d464cdf63f68" + } + }, + "407468dcadc24f8499d1b3abe76318f8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "fdf6f901c76e44e9bbd615cbe3cb2ca1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "508ae0b245b141c4ab618a67904f1a37": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "02a4d21a302545c08f58d464cdf63f68": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "22967ee5b59e4c10876ffb931c99cb7b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_a46f9c1f826346febee16a324b036c62", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_aa648e14bba044849a704a945432a29d", + "IPY_MODEL_c43b4dfa452c496694fafafb4b4e5880" + ] + } + }, + "a46f9c1f826346febee16a324b036c62": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "aa648e14bba044849a704a945432a29d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c418ae8a9bd643188582c8797d66e78e", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a0f8a9bf69a441d495da5d818604cad5" + } + }, + "c43b4dfa452c496694fafafb4b4e5880": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c6b85a5257db425f88471d1fecb7d5aa", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:29<00:00, 16.20it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_47d06daff46540a5834a757d5eb27bbf" + } + }, + "c418ae8a9bd643188582c8797d66e78e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "a0f8a9bf69a441d495da5d818604cad5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c6b85a5257db425f88471d1fecb7d5aa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "47d06daff46540a5834a757d5eb27bbf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "df118e08a2df4867a77ea56fe2ae2123": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_be8d8349a97446c6868b297b59dd04dd", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_9d660b352d2344f4a2781b2f32b6b571", + "IPY_MODEL_b2d1deacd4b046d9841b79b84be27a69" + ] + } + }, + "be8d8349a97446c6868b297b59dd04dd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9d660b352d2344f4a2781b2f32b6b571": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_99150a6caa5a4617a962052f16e6cec1", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2152f9459e1f4ea0893d05672819c1fb" + } + }, + "b2d1deacd4b046d9841b79b84be27a69": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_6612ac3130f945b082fa45ea39f3f024", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:09<00:00, 53.03it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0bd5344e77f942958b7cee4a706a6337" + } + }, + "99150a6caa5a4617a962052f16e6cec1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2152f9459e1f4ea0893d05672819c1fb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6612ac3130f945b082fa45ea39f3f024": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "0bd5344e77f942958b7cee4a706a6337": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "275b96d757094858a8230c452d389de8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_b3b2091050f540f88c5efc96e01a4b64", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_8cea650516784267ba995885ad1f204a", + "IPY_MODEL_1e034015325c473abe3f17351d45d8f4" + ] + } + }, + "b3b2091050f540f88c5efc96e01a4b64": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8cea650516784267ba995885ad1f204a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_16a2cf641e2b4827a3f20d373c299907", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5e8cf54987004db999558896e390ac8b" + } + }, + "1e034015325c473abe3f17351d45d8f4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_b1db4a0a8f3346d99a59b0946d5b8ab2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:29<00:00, 15.76it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0a424ae8eb414f54b13e3deba1f32467" + } + }, + "16a2cf641e2b4827a3f20d373c299907": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5e8cf54987004db999558896e390ac8b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b1db4a0a8f3346d99a59b0946d5b8ab2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "0a424ae8eb414f54b13e3deba1f32467": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1f00c2a6bfde43dab6295f55a577136d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_18a1e3d953e14614847c30c409e8b1e4", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_40b8fbeb8d6040a6b7e5bdab1220ec11", + "IPY_MODEL_47355721dee6467ebf8a15118bbbc6a1" + ] + } + }, + "18a1e3d953e14614847c30c409e8b1e4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "40b8fbeb8d6040a6b7e5bdab1220ec11": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_e10095b2e72d453aa4935759bf50b2f4", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1cc060d196da4cf08b74595975947e71" + } + }, + "47355721dee6467ebf8a15118bbbc6a1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a8a790e920b64da1a12c7103c4f25b4e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:09<00:00, 51.27it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f2393febcc6045fc8e628b1f9979cfcd" + } + }, + "e10095b2e72d453aa4935759bf50b2f4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "1cc060d196da4cf08b74595975947e71": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a8a790e920b64da1a12c7103c4f25b4e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f2393febcc6045fc8e628b1f9979cfcd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "207de5372e8f4193b2f1a05d8113e534": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d02d74b3b90947f4bdb1e0319ee435b7", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_bb4aa7043bc04243b7c57a4479f3abfa", + "IPY_MODEL_c4059f68eccb40678febc609c1b212a4" + ] + } + }, + "d02d74b3b90947f4bdb1e0319ee435b7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bb4aa7043bc04243b7c57a4479f3abfa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_886ec07b6f674c9e829532e83d8ca8e1", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_84457e7652544e1294df146b40db111f" + } + }, + "c4059f68eccb40678febc609c1b212a4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e66bed7f64ce4caebb6fe22cfb7c061f", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:29<00:00, 16.24it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_22ee0ba3d7954311b56c425f6bd1ce6b" + } + }, + "886ec07b6f674c9e829532e83d8ca8e1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "84457e7652544e1294df146b40db111f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e66bed7f64ce4caebb6fe22cfb7c061f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "22ee0ba3d7954311b56c425f6bd1ce6b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f47b3ce8959e44bd9eaac05f2859a095": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_acc0e6775cc1437db755d0abc8e58e6d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_7d7704b0972c44d59e4accf01bf608ef", + "IPY_MODEL_76534f3442b543a2a0b5db63f2800aa1" + ] + } + }, + "acc0e6775cc1437db755d0abc8e58e6d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7d7704b0972c44d59e4accf01bf608ef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a05165bbce714edfbdda7a4718f87726", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6358a7f56d9e48bd8919e07b09ca9ad2" + } + }, + "76534f3442b543a2a0b5db63f2800aa1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_334eedd5ff594695acdf95f0caa35ab9", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:09<00:00, 51.52it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_93e50c9e42284dcc838680c7ef489b4d" + } + }, + "a05165bbce714edfbdda7a4718f87726": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6358a7f56d9e48bd8919e07b09ca9ad2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "334eedd5ff594695acdf95f0caa35ab9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "93e50c9e42284dcc838680c7ef489b4d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0eb3dcce91b4464bb299aa39033814c8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_60ea6318aed94c99b407f57a5a0bcb2b", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_92cb0f8789b44c438501170b3c241b15", + "IPY_MODEL_c28ea9e14e214fbea4e9f43ba88fa1da" + ] + } + }, + "60ea6318aed94c99b407f57a5a0bcb2b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "92cb0f8789b44c438501170b3c241b15": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_5d6723f5cfa440108d1cd0d00600657e", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4aeba227f6f84ae0a535b79aad0f0ae9" + } + }, + "c28ea9e14e214fbea4e9f43ba88fa1da": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_0f3aff12bff7470abf75b7e1bee5b185", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:29<00:00, 16.20it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4fa61e0c7ab94f4fbadba55573488ab5" + } + }, + "5d6723f5cfa440108d1cd0d00600657e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4aeba227f6f84ae0a535b79aad0f0ae9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0f3aff12bff7470abf75b7e1bee5b185": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "4fa61e0c7ab94f4fbadba55573488ab5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3242c837fe4d4523a4ef302c53397388": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_3032eba1817f44609aa57d9dc7468425", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_e08995ab64664884bb5fb948e7484bfd", + "IPY_MODEL_b774cdab0a6143ee8aaa4285f2645b33" + ] + } + }, + "3032eba1817f44609aa57d9dc7468425": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e08995ab64664884bb5fb948e7484bfd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_08e2b2fd79684bcfa42ed4fb7752f380", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_df30d886a0d843fdb1d19ae4fa6c984f" + } + }, + "b774cdab0a6143ee8aaa4285f2645b33": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_984631f3b19643eea1a2da3abfce61c5", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [00:09<00:00, 53.01it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3dd61b0cf3074f1ba4b3ec7341b06e78" + } + }, + "08e2b2fd79684bcfa42ed4fb7752f380": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "df30d886a0d843fdb1d19ae4fa6c984f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "984631f3b19643eea1a2da3abfce61c5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "3dd61b0cf3074f1ba4b3ec7341b06e78": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7881ac6dae9d47099db0294c1e20446b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_488755afcd204e4783dc0509bdb8f672", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_79a1d187e24342fe881abe195a8b5949", + "IPY_MODEL_cbd7b544f3054f9e9bf92612df7142aa" + ] + } + }, + "488755afcd204e4783dc0509bdb8f672": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "79a1d187e24342fe881abe195a8b5949": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4f3ebe2c74cb4f39b26c690a88a13ab1", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_562faac905d34660acbb8489c0a08d32" + } + }, + "cbd7b544f3054f9e9bf92612df7142aa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c60b0c898e16458d9d0e335ab600c9e0", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [3:22:30<00:00, 1215.01s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_476c107c273442d495002a631bd799cb" + } + }, + "4f3ebe2c74cb4f39b26c690a88a13ab1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "562faac905d34660acbb8489c0a08d32": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c60b0c898e16458d9d0e335ab600c9e0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "476c107c273442d495002a631bd799cb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ca7a3bdee1c4450d8b4a85b027b7be6f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9110c6f5fa0e412b8403ab8a325d0942", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_40267b0bbfe04adc9f8fa147ddcfd2e9", + "IPY_MODEL_d5cfde8322204c22b5e0a7205fbaaee3" + ] + } + }, + "9110c6f5fa0e412b8403ab8a325d0942": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "40267b0bbfe04adc9f8fa147ddcfd2e9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a4c0a0b96f4b4a59a8eceea823d57502", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_dfee614da2f048bf9f8fc7c8f00a0f41" + } + }, + "d5cfde8322204c22b5e0a7205fbaaee3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_af66048692224cd18823bf0321e21816", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [14:45<00:00, 1.76s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_eba70b54ee9c4f4cad0e6674cb451d69" + } + }, + "a4c0a0b96f4b4a59a8eceea823d57502": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "dfee614da2f048bf9f8fc7c8f00a0f41": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "af66048692224cd18823bf0321e21816": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "eba70b54ee9c4f4cad0e6674cb451d69": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "24bb779367d04b2a8c887d8d909bf033": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_fc2169e000864373b45c3e7a8bfd455e", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_08bb2ebe84a942d1b76fbb1e92d50904", + "IPY_MODEL_c3453b641ce24160bf0a000b72c22026" + ] + } + }, + "fc2169e000864373b45c3e7a8bfd455e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "08bb2ebe84a942d1b76fbb1e92d50904": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_9610220c06b14f70a66bdc142b8155c8", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_431e8c08ce7b4a7d9dfe532169671d75" + } + }, + "c3453b641ce24160bf0a000b72c22026": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_d5fc5a47a6f84c5597dee73dc9c06c88", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [04:44<00:00, 1.77it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4435c230a3bd4b70990e122197b7a91b" + } + }, + "9610220c06b14f70a66bdc142b8155c8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "431e8c08ce7b4a7d9dfe532169671d75": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d5fc5a47a6f84c5597dee73dc9c06c88": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "4435c230a3bd4b70990e122197b7a91b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "92840252c80d41fb826d402ddcafaec8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9639fa80728f497f8b90704ea6330f47", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_6533adc933214fb7913e7931c8be0b29", + "IPY_MODEL_77bbe0608dfe4e0195beb26c3fd2c947" + ] + } + }, + "9639fa80728f497f8b90704ea6330f47": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6533adc933214fb7913e7931c8be0b29": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_dc66c47b91714d538258ef3e2e711fc0", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_cf14a7b5609a4c0ebe7f67818e39320a" + } + }, + "77bbe0608dfe4e0195beb26c3fd2c947": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_ea7c0106e23b46e5b62d1fd46e8cb940", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [14:48<00:00, 1.75s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2f343bf69778424388b815b54f7e3aae" + } + }, + "dc66c47b91714d538258ef3e2e711fc0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "cf14a7b5609a4c0ebe7f67818e39320a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ea7c0106e23b46e5b62d1fd46e8cb940": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "2f343bf69778424388b815b54f7e3aae": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3e6900485bc649ac80e217f949e11939": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_0febcaf725524bc596355be52dc59a6a", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_35f41f925348416e98ead4c7c63221dc", + "IPY_MODEL_38f5185eb0214738bbbbea4f6b8a4c61" + ] + } + }, + "0febcaf725524bc596355be52dc59a6a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "35f41f925348416e98ead4c7c63221dc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_92f90494e25f4cfcb32b005ce6a27b58", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_27acf4da7eb44fc58fb81e4474ae9dbb" + } + }, + "38f5185eb0214738bbbbea4f6b8a4c61": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9e8713a3418a495cab702faa2219b91c", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [04:45<00:00, 1.75it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b74b78737803407e8298471174fd68ed" + } + }, + "92f90494e25f4cfcb32b005ce6a27b58": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "27acf4da7eb44fc58fb81e4474ae9dbb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9e8713a3418a495cab702faa2219b91c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b74b78737803407e8298471174fd68ed": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "515f09b3454a4ff69caf730c37c153e3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_3a2c60e5b6844fd4a787d6eb326e56a3", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_00667cf8b1694190848398d33b1f84cb", + "IPY_MODEL_a144212080a54cf48a7d09f495eb9f73" + ] + } + }, + "3a2c60e5b6844fd4a787d6eb326e56a3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "00667cf8b1694190848398d33b1f84cb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_2a9114f4c3a7419b8366335513d645a9", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_09241d1b47834525b36c53a23bb8ac3a" + } + }, + "a144212080a54cf48a7d09f495eb9f73": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9750c2e5c916403bab18042dac11731a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [15:00<00:00, 1.76s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f90ac17f5a6b4ee78095837ce8809f8f" + } + }, + "2a9114f4c3a7419b8366335513d645a9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "09241d1b47834525b36c53a23bb8ac3a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9750c2e5c916403bab18042dac11731a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f90ac17f5a6b4ee78095837ce8809f8f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5f67b8cae6a04188b3bbc6769b8b39ec": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_44361d9b45e7440097a865e26a4360d1", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_385baeb8d1d947509de4f4ac02180fff", + "IPY_MODEL_3ec0c2c5053e4723a981123824fb74da" + ] + } + }, + "44361d9b45e7440097a865e26a4360d1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "385baeb8d1d947509de4f4ac02180fff": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_02a5c9f2921c421a9b67defc16c62fea", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5b8aaaba82274edd92ce977a60d3c1c4" + } + }, + "3ec0c2c5053e4723a981123824fb74da": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_38db9bfc035940149eef58ac41df07e5", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [04:46<00:00, 1.76it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0ec90cd97f1448f8b2252e4a09932e50" + } + }, + "02a5c9f2921c421a9b67defc16c62fea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5b8aaaba82274edd92ce977a60d3c1c4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "38db9bfc035940149eef58ac41df07e5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "0ec90cd97f1448f8b2252e4a09932e50": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ec7b28975bb248f3a5a2fbfd9e0dcaaa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_706a24860b5849bc8bac69b9d81ca061", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_6727ebb3198e45fab4b1b0c060d12ca8", + "IPY_MODEL_3f95515ca5884aaf9b729c1ff60ec30e" + ] + } + }, + "706a24860b5849bc8bac69b9d81ca061": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6727ebb3198e45fab4b1b0c060d12ca8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_674c00f6f96948f2991f49bd0201acdf", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1ed454ff8c2a4b38bd84607ecf5bc7db" + } + }, + "3f95515ca5884aaf9b729c1ff60ec30e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_8227698ea84e4f40a4f5be6f2dc5a3ba", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [14:48<00:00, 1.76s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2b873e7467e94d21a20df234add6483d" + } + }, + "674c00f6f96948f2991f49bd0201acdf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "1ed454ff8c2a4b38bd84607ecf5bc7db": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8227698ea84e4f40a4f5be6f2dc5a3ba": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "2b873e7467e94d21a20df234add6483d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b53fbad5fcaa4e4a9e33a53718ebd6e1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_5d0ca57a0b624ef7809302cd4219b9d0", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_80e186a562b144a3ad554e80a51b5eac", + "IPY_MODEL_9185eff93ca9489c865875a21c19211a" + ] + } + }, + "5d0ca57a0b624ef7809302cd4219b9d0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "80e186a562b144a3ad554e80a51b5eac": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_de116754dfe24a8cbaea9441133ee675", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a21422e144174739be8c80ff724000a5" + } + }, + "9185eff93ca9489c865875a21c19211a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_fba742654f9a42ec8514d83df4829f0a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [04:45<00:00, 1.76it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9f900018ec2243e98c0f8699f2a0c848" + } + }, + "de116754dfe24a8cbaea9441133ee675": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "a21422e144174739be8c80ff724000a5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fba742654f9a42ec8514d83df4829f0a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9f900018ec2243e98c0f8699f2a0c848": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6f42c5726735425a8883ab71d6bd22db": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_5dbf576c56a6499286719391155e57a9", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_b119939496694e0786b8c70cb9604498", + "IPY_MODEL_bca16d83fed84eb7ae2c98f227de2912" + ] + } + }, + "5dbf576c56a6499286719391155e57a9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b119939496694e0786b8c70cb9604498": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_e555e2bf410441b1895b8bed1b92b353", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f1df7b31bd3544fa8b6e9297dc861c7f" + } + }, + "bca16d83fed84eb7ae2c98f227de2912": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_58b43b933bf04ccfb25ebb806cf42406", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [14:48<00:00, 1.76s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e12cfa9ae4e94e8bbcbfe3243dd8d7fa" + } + }, + "e555e2bf410441b1895b8bed1b92b353": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f1df7b31bd3544fa8b6e9297dc861c7f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "58b43b933bf04ccfb25ebb806cf42406": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e12cfa9ae4e94e8bbcbfe3243dd8d7fa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "856b52551e6643f7bd453df1a187d9b0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_6cd67e864a0144a284924c558273b8e8", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_44158ccb23de44f2b3e45a7585271382", + "IPY_MODEL_c9b291a78af54878a03cdb88c391f907" + ] + } + }, + "6cd67e864a0144a284924c558273b8e8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "44158ccb23de44f2b3e45a7585271382": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b481fa1da07d4661a8437672e427d4eb", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5e2cdd04d6794bf8b8365386886c0839" + } + }, + "c9b291a78af54878a03cdb88c391f907": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_ee26ea6ffe784e13bd74cbaec2f2bfb8", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [04:45<00:00, 1.78it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5b9917d6ac2b46d080edde2795822449" + } + }, + "b481fa1da07d4661a8437672e427d4eb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5e2cdd04d6794bf8b8365386886c0839": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ee26ea6ffe784e13bd74cbaec2f2bfb8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "5b9917d6ac2b46d080edde2795822449": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1aedb9ae20ad495eb883c1c6914589da": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9d9708d577d141cc91b187bc953c1850", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_b815a8317030451fb255d117d300826e", + "IPY_MODEL_af93526fe46a4305b9359be18790a28c" + ] + } + }, + "9d9708d577d141cc91b187bc953c1850": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b815a8317030451fb255d117d300826e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_6b9f252aeb6b475290131d83b97fa654", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0b58b0e1433846a183ccdf06db968a6e" + } + }, + "af93526fe46a4305b9359be18790a28c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_711e83ee75f949d8bb5b80b05a4e561d", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [14:48<00:00, 1.76s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_a3d79badd0ff49aaa99eb0f7434b7a70" + } + }, + "6b9f252aeb6b475290131d83b97fa654": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "0b58b0e1433846a183ccdf06db968a6e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "711e83ee75f949d8bb5b80b05a4e561d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "a3d79badd0ff49aaa99eb0f7434b7a70": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2989f46f91ae41b8ad3a018cdd0492c4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_15586b418fe44692bc1d6ba8a8951a91", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_0693bfd5c12e491ba464614bb872f645", + "IPY_MODEL_6e16bdd7631a4ec783108ced5259955c" + ] + } + }, + "15586b418fe44692bc1d6ba8a8951a91": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0693bfd5c12e491ba464614bb872f645": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b06b5ec3e2004da2bd884929fb9a96e4", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7c84b27ecfc8416aa8fbcd0688d5e456" + } + }, + "6e16bdd7631a4ec783108ced5259955c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5646351b44e54f5cadba766043304d9e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [04:45<00:00, 1.76it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b3d2d26d2fd34c01a0f7e2b9955a43dc" + } + }, + "b06b5ec3e2004da2bd884929fb9a96e4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "7c84b27ecfc8416aa8fbcd0688d5e456": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5646351b44e54f5cadba766043304d9e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b3d2d26d2fd34c01a0f7e2b9955a43dc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c116c43d972e4a0c8e912d03622f2dcc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_e4dbe24dff424ba1801448536564ab40", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4dda4937066e4976860701d72d9919ea", + "IPY_MODEL_58a26a614fb844ffbb8ee4e6a7920699" + ] + } + }, + "e4dbe24dff424ba1801448536564ab40": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4dda4937066e4976860701d72d9919ea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_1a551c5e69b24bdba96de407e74d9cd8", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e022cd53f5624ebd88f21fe070077f16" + } + }, + "58a26a614fb844ffbb8ee4e6a7920699": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_333ddc39d1e049a19f64b7c3a6d2809b", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [14:48<00:00, 1.76s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ba82a3a3175844bbbf0e71320147f7b7" + } + }, + "1a551c5e69b24bdba96de407e74d9cd8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e022cd53f5624ebd88f21fe070077f16": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "333ddc39d1e049a19f64b7c3a6d2809b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "ba82a3a3175844bbbf0e71320147f7b7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3bbc5a3e1bbe4f588f0ee9382e01fcfc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_8d25ea04df5042dca0560e069bf375aa", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_39560162072848dc8b77e011cccf5fe8", + "IPY_MODEL_d211edf65d0142abaf10ccf1aa535828" + ] + } + }, + "8d25ea04df5042dca0560e069bf375aa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "39560162072848dc8b77e011cccf5fe8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_13849327dc674c5386a826338213deb5", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f47a431c9470436483f88c504821508e" + } + }, + "d211edf65d0142abaf10ccf1aa535828": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_03be7469944f4b70b7dd617aa6256645", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [04:45<00:00, 1.76it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_489381a660d546f3bda48352bbb7cea3" + } + }, + "13849327dc674c5386a826338213deb5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f47a431c9470436483f88c504821508e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "03be7469944f4b70b7dd617aa6256645": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "489381a660d546f3bda48352bbb7cea3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fbf03378bdb842c2a73641ab6fbdc56f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_83e777603c3b43d5a6b5bef0fd0613ec", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3ce4a7c2a20643058268e87539b0c084", + "IPY_MODEL_c8cd6118c39c4ada8a6c42b4c7f56552" + ] + } + }, + "83e777603c3b43d5a6b5bef0fd0613ec": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3ce4a7c2a20643058268e87539b0c084": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c055421539f34ccea26a625b92a0e226", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_978e69735b8248b6905eccef7c6a35d4" + } + }, + "c8cd6118c39c4ada8a6c42b4c7f56552": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_39bd3102b6e74242a5b1a4825dcdf6b6", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [14:56<00:00, 1.76s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b309fa0488b14968b2a653163c003caf" + } + }, + "c055421539f34ccea26a625b92a0e226": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "978e69735b8248b6905eccef7c6a35d4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "39bd3102b6e74242a5b1a4825dcdf6b6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b309fa0488b14968b2a653163c003caf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4695c722b1c7415da8103089729dd59f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_dcb9e479773d40278596afbf5fe468a3", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_078f61759d4048d3af4afe79348a16a3", + "IPY_MODEL_4c966332d07e40589aa3af5faa9039d3" + ] + } + }, + "dcb9e479773d40278596afbf5fe468a3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "078f61759d4048d3af4afe79348a16a3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_554139bb73b0426bbb3fadd11bccacf8", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_809716094bc24c95830877d8abf648d9" + } + }, + "4c966332d07e40589aa3af5faa9039d3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5e682e91d64d44cfa5bedd6008c0baf4", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [04:45<00:00, 1.77it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e92da6d2029c4114ab9252cf52022df5" + } + }, + "554139bb73b0426bbb3fadd11bccacf8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "809716094bc24c95830877d8abf648d9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5e682e91d64d44cfa5bedd6008c0baf4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "e92da6d2029c4114ab9252cf52022df5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "08944c83266542a18d4e76e500c92d5b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_84476d779a8e4a22ba2ba1013dea69c8", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2257c5ab3f5e4f82a2be153d47ceb584", + "IPY_MODEL_000ef8f0c8224031b35d9f98effd7fe5" + ] + } + }, + "84476d779a8e4a22ba2ba1013dea69c8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2257c5ab3f5e4f82a2be153d47ceb584": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4495ff5652d640cfa597df74ec4bcd97", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e353f4fe893b490c8aa2fa52cba9a2b6" + } + }, + "000ef8f0c8224031b35d9f98effd7fe5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_fb3c5c3a79924728b9ee755df912e841", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [14:48<00:00, 1.76s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_195a50aae13942ae98f0a792f8747a58" + } + }, + "4495ff5652d640cfa597df74ec4bcd97": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e353f4fe893b490c8aa2fa52cba9a2b6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fb3c5c3a79924728b9ee755df912e841": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "195a50aae13942ae98f0a792f8747a58": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a9a1d707a429423b9847225475d32c7d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2e51dfecdbae49009e4ba8dd50e8a7de", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_9d49c6956368468ea3f0b615a163f6d9", + "IPY_MODEL_c2f51609028840fcba45371ea0b98c5a" + ] + } + }, + "2e51dfecdbae49009e4ba8dd50e8a7de": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9d49c6956368468ea3f0b615a163f6d9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_95878c2ace5a481a8141d19fd20d7ca9", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f2ef009a6c3f418cb1a3a0bf7d4b6d60" + } + }, + "c2f51609028840fcba45371ea0b98c5a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_b79d8bbc86044377be52085689db18c0", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [04:45<00:00, 1.77it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9a7f9ee9fa3541f3a0e2d1a0be63bc8e" + } + }, + "95878c2ace5a481a8141d19fd20d7ca9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f2ef009a6c3f418cb1a3a0bf7d4b6d60": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b79d8bbc86044377be52085689db18c0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9a7f9ee9fa3541f3a0e2d1a0be63bc8e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4cc9c85447c04707b15c87b0027655e9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_50ba9816b3c745d2b739b7d5691769c5", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_7eac6f27bbfe488593758b203025bf58", + "IPY_MODEL_e97f5a55ebfb483589aaee2b6f4ad13a" + ] + } + }, + "50ba9816b3c745d2b739b7d5691769c5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7eac6f27bbfe488593758b203025bf58": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_e1cf0f1d57e341f4beeb96f3793a50df", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7802a6defca747778e48038edc7d846f" + } + }, + "e97f5a55ebfb483589aaee2b6f4ad13a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_211fa2ac059f4595b42115212eb7b364", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [14:48<00:00, 1.77s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5e249e7dcadf428fb4d8fab7e36085cf" + } + }, + "e1cf0f1d57e341f4beeb96f3793a50df": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "7802a6defca747778e48038edc7d846f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "211fa2ac059f4595b42115212eb7b364": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "5e249e7dcadf428fb4d8fab7e36085cf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4bfad22d9426493c8183971db025a81e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_ff3a118cff064f539f31aa36a8d5e5f5", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2199b3cceb1f45d8b723cdc0a651609e", + "IPY_MODEL_1f161297659d43d0ba1f432c1bfe7657" + ] + } + }, + "ff3a118cff064f539f31aa36a8d5e5f5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2199b3cceb1f45d8b723cdc0a651609e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_7a319c3f5fc04fb49774f79dd1ba3f30", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6f95f66203364f7fbf8daf3c89263e22" + } + }, + "1f161297659d43d0ba1f432c1bfe7657": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_8666f1af584f4e2caf67f6e8de2a915c", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [04:45<00:00, 1.77it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_444f0ff624e9413dae0ff0e99341f033" + } + }, + "7a319c3f5fc04fb49774f79dd1ba3f30": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6f95f66203364f7fbf8daf3c89263e22": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8666f1af584f4e2caf67f6e8de2a915c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "444f0ff624e9413dae0ff0e99341f033": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "28a7f5943bd448c5bf92fdc8ced68ab6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_26c79a2623904162824585d148cb34a2", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_45d433910ee34bab827dc4c85d214e1f", + "IPY_MODEL_88f2b9d710e74fbca8672fb1bced4690" + ] + } + }, + "26c79a2623904162824585d148cb34a2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "45d433910ee34bab827dc4c85d214e1f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_bb691391343b41b3b6dd2a8ed9579ed3", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6a058028169c47ab8481e0bbf7535a33" + } + }, + "88f2b9d710e74fbca8672fb1bced4690": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_4b4b15c88a56409ca977478a5a0d249e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [2:07:12<00:00, 763.30s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6deee416eb87483fb3b5752df4a1db6d" + } + }, + "bb691391343b41b3b6dd2a8ed9579ed3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6a058028169c47ab8481e0bbf7535a33": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4b4b15c88a56409ca977478a5a0d249e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "6deee416eb87483fb3b5752df4a1db6d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d92037cd279340db97760e8a5db06559": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2840bf28485c4cc7b8cfde6ed340e396", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_5fcf301c021e4a97b850c597b10cee6a", + "IPY_MODEL_11f0d7d15bf149d6bd2ebaaa0ec5859e" + ] + } + }, + "2840bf28485c4cc7b8cfde6ed340e396": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5fcf301c021e4a97b850c597b10cee6a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_7b4100226bfd4c3fa511e456fd314e5f", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_881681f159e14516992c3061143cea17" + } + }, + "11f0d7d15bf149d6bd2ebaaa0ec5859e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c64736d376394979b960f6770d025536", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [09:14<00:00, 1.11s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_576f4d3d0c684f3da94650373f8eb2f6" + } + }, + "7b4100226bfd4c3fa511e456fd314e5f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "881681f159e14516992c3061143cea17": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c64736d376394979b960f6770d025536": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "576f4d3d0c684f3da94650373f8eb2f6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "66dea1620b624a15bae4c1e144f6a611": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_38943f8a429749bea0bbf38df80638d5", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_1ca9d8dfdb11404fb1e5728a40e1f138", + "IPY_MODEL_0ee554ad2cb74026b3b0426d7eb97e54" + ] + } + }, + "38943f8a429749bea0bbf38df80638d5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1ca9d8dfdb11404fb1e5728a40e1f138": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_bc1dcae09e4a4c40bd0d228ee039b36b", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_20cba37a89494a7d944ae44ece33b871" + } + }, + "0ee554ad2cb74026b3b0426d7eb97e54": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_d215ba31a71741089808aec67eb17753", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:39<00:00, 3.19it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5e852c8faac8414bbdcf20dd7b126e1a" + } + }, + "bc1dcae09e4a4c40bd0d228ee039b36b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "20cba37a89494a7d944ae44ece33b871": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d215ba31a71741089808aec67eb17753": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "5e852c8faac8414bbdcf20dd7b126e1a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6737e1a308ea4263be3bdd40ab3d8eaa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_f485adbcd45f411c974ab978891adb26", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_0cef063c22ed4abdb957fcd9bed6c398", + "IPY_MODEL_dfbf297997d54d579e8291f4ad93ff41" + ] + } + }, + "f485adbcd45f411c974ab978891adb26": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0cef063c22ed4abdb957fcd9bed6c398": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_83062f39d86f4079846f07d402ef3874", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9bb60c24cbb848e2aa699bd69bd399c6" + } + }, + "dfbf297997d54d579e8291f4ad93ff41": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_959848adb01343958d3b398dcf779306", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [09:15<00:00, 1.11s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_69df7f9c1fd94671a0010af0c870d7f3" + } + }, + "83062f39d86f4079846f07d402ef3874": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "9bb60c24cbb848e2aa699bd69bd399c6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "959848adb01343958d3b398dcf779306": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "69df7f9c1fd94671a0010af0c870d7f3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6cce1d5c3b4d4afeac94c5a63f8eb0db": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_c80c83f105dc4969a3e3b0e833d3db4f", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4dcbc359adb14c57802bbd928a5c2793", + "IPY_MODEL_5cbd7924d70f44069e5197057bafbaf5" + ] + } + }, + "c80c83f105dc4969a3e3b0e833d3db4f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4dcbc359adb14c57802bbd928a5c2793": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a1d10b45692342ba962be0fdc8a2fa5f", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_25aa2c105aec4b4d9cf0c57320ebe35a" + } + }, + "5cbd7924d70f44069e5197057bafbaf5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_b2b3778bbb614e3783fe3178faf1e990", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:39<00:00, 3.13it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_763baf7a5fb642d2b9f4f31768803ea9" + } + }, + "a1d10b45692342ba962be0fdc8a2fa5f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "25aa2c105aec4b4d9cf0c57320ebe35a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b2b3778bbb614e3783fe3178faf1e990": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "763baf7a5fb642d2b9f4f31768803ea9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1c899e74e3a4428a85a7b868ba2337e9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_6cf7e423c6da47a4b804d3782b3bab91", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2972130eb1844a1d8ab1adbb262b8bca", + "IPY_MODEL_37beb970fa254a7c8426c5be1948b3ef" + ] + } + }, + "6cf7e423c6da47a4b804d3782b3bab91": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2972130eb1844a1d8ab1adbb262b8bca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c4c10b7ccaea4ea484e2cb196be7c726", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e3f2876e60bb4d90a092fca9e0921285" + } + }, + "37beb970fa254a7c8426c5be1948b3ef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_0d4e74dbe3d041709a10c1419849cc20", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [09:15<00:00, 1.10s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ee9e963f8013466a9fe50bf08beeb5d2" + } + }, + "c4c10b7ccaea4ea484e2cb196be7c726": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e3f2876e60bb4d90a092fca9e0921285": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0d4e74dbe3d041709a10c1419849cc20": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "ee9e963f8013466a9fe50bf08beeb5d2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4f06880f95f14c68a868629b890592e3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_af708431e813491aa97eb2c415db1a1d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_49367b571b7044a982ce5f6186948fa6", + "IPY_MODEL_9592affb2e70486abcfe29379c18f076" + ] + } + }, + "af708431e813491aa97eb2c415db1a1d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "49367b571b7044a982ce5f6186948fa6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_fbe92d16257544acae4706628df91d21", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9def6955bbe2435990260346f75d4f38" + } + }, + "9592affb2e70486abcfe29379c18f076": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e438f65732a24bd4b5fc5521c4111aca", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:39<00:00, 3.17it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b35e389847ce42b88dc78642a8c1ba8b" + } + }, + "fbe92d16257544acae4706628df91d21": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "9def6955bbe2435990260346f75d4f38": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e438f65732a24bd4b5fc5521c4111aca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b35e389847ce42b88dc78642a8c1ba8b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c9d9eed7f51a442880afcda64d4172c1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_ac1a450391c24a40bc7beb4811d15869", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_00043831c85940ba9d9564f1a8fc4ece", + "IPY_MODEL_a880e8aaad024b7a9c67c5cbf69feb2f" + ] + } + }, + "ac1a450391c24a40bc7beb4811d15869": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "00043831c85940ba9d9564f1a8fc4ece": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_59cd540e26fd46379808963e719b40a8", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6da062283ffc429e9c69799e43c8c5d2" + } + }, + "a880e8aaad024b7a9c67c5cbf69feb2f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9300f623cb2c4c9ab1b53818ca14276a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [09:15<00:00, 1.10s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9238ce0615ed4ddfa6aeebd0ef7dc108" + } + }, + "59cd540e26fd46379808963e719b40a8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6da062283ffc429e9c69799e43c8c5d2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9300f623cb2c4c9ab1b53818ca14276a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9238ce0615ed4ddfa6aeebd0ef7dc108": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3a11c27c99e84ca39fbfab890b2ece1b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_582896e95b7749f59cc498b74565a6b6", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_d63d2af48a9340699a0a3fdc2c26ed51", + "IPY_MODEL_abf1e5f34c8e49bfb6ae2519a5f08608" + ] + } + }, + "582896e95b7749f59cc498b74565a6b6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d63d2af48a9340699a0a3fdc2c26ed51": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a58946282a2043499f04d3a5ddc2723e", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ff26c906ad614fa7968e7dc9563dd308" + } + }, + "abf1e5f34c8e49bfb6ae2519a5f08608": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a5047970388241c5b4b4018681d48fb4", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:39<00:00, 3.20it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_73a254d3af1d4c2aa916081a56849318" + } + }, + "a58946282a2043499f04d3a5ddc2723e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ff26c906ad614fa7968e7dc9563dd308": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a5047970388241c5b4b4018681d48fb4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "73a254d3af1d4c2aa916081a56849318": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4836f3929f2648f19e73eec7ecad757b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_5027933094c74e6d8b136ebae44ef5c5", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_0aea50c84cea464785d77201e645f503", + "IPY_MODEL_1e1ea067583343ce86e3190db31311b9" + ] + } + }, + "5027933094c74e6d8b136ebae44ef5c5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0aea50c84cea464785d77201e645f503": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_71538b452ce1481db21c8b2f33585815", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7a80206c6b2b4e1f9fae3f0a98445449" + } + }, + "1e1ea067583343ce86e3190db31311b9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_bee323ac580547a4bcad6c86a21007d4", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [09:14<00:00, 1.10s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9c6426c8fc5041e39cf8523813584fe4" + } + }, + "71538b452ce1481db21c8b2f33585815": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "7a80206c6b2b4e1f9fae3f0a98445449": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bee323ac580547a4bcad6c86a21007d4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9c6426c8fc5041e39cf8523813584fe4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9e74c6a6632a49a3b0794385e769afd2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2a4c5359ce00489b805b63de09276442", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_23ff54f4e04a41e7a467520272200919", + "IPY_MODEL_e17f35ae9552497db83c7af80c2bdffc" + ] + } + }, + "2a4c5359ce00489b805b63de09276442": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "23ff54f4e04a41e7a467520272200919": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_687f18be2be3412d85d1114b10c95ec7", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3289a3a782a448388c535fea939cfb92" + } + }, + "e17f35ae9552497db83c7af80c2bdffc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_6d7310791faa436fb5a304c00e9c7775", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:38<00:00, 3.15it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_19f2fe2eea01477caeccf60495b2f19b" + } + }, + "687f18be2be3412d85d1114b10c95ec7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "3289a3a782a448388c535fea939cfb92": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6d7310791faa436fb5a304c00e9c7775": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "19f2fe2eea01477caeccf60495b2f19b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b560f347321b4d509ca06a042ba12e2a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2a0f49d7c0404b9ebe4c8c88f2dc98cf", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2b0721c2bb8a4a4ca180f32744fd5bce", + "IPY_MODEL_e9aa47fb3af241f19bb082b670827afd" + ] + } + }, + "2a0f49d7c0404b9ebe4c8c88f2dc98cf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2b0721c2bb8a4a4ca180f32744fd5bce": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ea6eb2babfaa4104b12b65bdc99f8a8d", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d4ac3823ba90448f93b85ef90e8e5db5" + } + }, + "e9aa47fb3af241f19bb082b670827afd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_6cf4dc9d619544309207e09771a86ee2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [09:14<00:00, 1.10s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6f08d644ff714530ad7c6a1b40e6a79d" + } + }, + "ea6eb2babfaa4104b12b65bdc99f8a8d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "d4ac3823ba90448f93b85ef90e8e5db5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6cf4dc9d619544309207e09771a86ee2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "6f08d644ff714530ad7c6a1b40e6a79d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3e8569e277504b6994825cae577094ee": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_723e78838a6a4ed5a0e4d968948dfb21", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_17f72eff98a74db49c7ffa8b3c56032a", + "IPY_MODEL_00b3f60863774f22b77c32db74a1431d" + ] + } + }, + "723e78838a6a4ed5a0e4d968948dfb21": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "17f72eff98a74db49c7ffa8b3c56032a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_62909a841de94fe9818a453059b7db0c", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6e126df2f4414e59b95aaab5f21c49c7" + } + }, + "00b3f60863774f22b77c32db74a1431d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c7992e14b25d498e8c9f2b1386b8807a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:38<00:00, 3.15it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d89a158858734dc0879cd9eb691bb664" + } + }, + "62909a841de94fe9818a453059b7db0c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6e126df2f4414e59b95aaab5f21c49c7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c7992e14b25d498e8c9f2b1386b8807a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "d89a158858734dc0879cd9eb691bb664": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cbc339059dfe4c299ed3fba36c523704": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_c2eedb90a45e4cfaba70216007895634", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_37e738e335144fc5a15682821a0388b5", + "IPY_MODEL_c22f467df87b43d7bc4a49d3ddc1251c" + ] + } + }, + "c2eedb90a45e4cfaba70216007895634": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "37e738e335144fc5a15682821a0388b5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_45fb8320d17a43eb9559506922db013c", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_18d0e78a612641d3ad67029be0a5bf39" + } + }, + "c22f467df87b43d7bc4a49d3ddc1251c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7d4ccae079d748c3a9232ef68c1dee58", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [09:19<00:00, 1.10s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_33fb7154babb4a8cbab825be21913bd0" + } + }, + "45fb8320d17a43eb9559506922db013c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "18d0e78a612641d3ad67029be0a5bf39": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7d4ccae079d748c3a9232ef68c1dee58": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "33fb7154babb4a8cbab825be21913bd0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cae5180f6a3442ee82db71fa7e2b9014": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_04e26dd42c144868bd21620f6f43fbda", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_9b92affa27fc4d4582bacfd5ab2af793", + "IPY_MODEL_ec70389d56a84083aec19ce09410aca4" + ] + } + }, + "04e26dd42c144868bd21620f6f43fbda": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9b92affa27fc4d4582bacfd5ab2af793": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c04ecbe220cb42708cbf43b141adbeab", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_686239d6665e420b943986464decf0aa" + } + }, + "ec70389d56a84083aec19ce09410aca4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_48e1758216744c31a6b7fdf6b19e7114", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:38<00:00, 3.17it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f9c3003d8e8a4f52938ce52336dabfee" + } + }, + "c04ecbe220cb42708cbf43b141adbeab": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "686239d6665e420b943986464decf0aa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "48e1758216744c31a6b7fdf6b19e7114": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f9c3003d8e8a4f52938ce52336dabfee": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e211a57661674a9a997cd4492af91cc6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_fc6d8eb5c6194415bb1547e3dc3f09eb", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_361e830c0efc4fefb6e4eea4518e532d", + "IPY_MODEL_be4efbe991b9471aa0ff800d084e1062" + ] + } + }, + "fc6d8eb5c6194415bb1547e3dc3f09eb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "361e830c0efc4fefb6e4eea4518e532d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_621744f4816641b6b7fbe39b8645b469", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e70230a0ade44e24a4bf443d0e90accd" + } + }, + "be4efbe991b9471aa0ff800d084e1062": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_ed09d5bf174f403f9ebe681895b03e68", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [09:14<00:00, 1.10s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0dfdd7d983324c93bc4f1ae792015845" + } + }, + "621744f4816641b6b7fbe39b8645b469": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e70230a0ade44e24a4bf443d0e90accd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ed09d5bf174f403f9ebe681895b03e68": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "0dfdd7d983324c93bc4f1ae792015845": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "432b91b9e7bf4884b01ad7e7240fd1b0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_239242780f204cb29b3f8824f634e232", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a1c117632323489da553bfbe037250d7", + "IPY_MODEL_a8bfe1ef4ae04030864df987bd45e3f9" + ] + } + }, + "239242780f204cb29b3f8824f634e232": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a1c117632323489da553bfbe037250d7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_221926daf5fe41a794ed719d7f76cf84", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b9a1fa32188d4601865452b6a6f4d309" + } + }, + "a8bfe1ef4ae04030864df987bd45e3f9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_d584b7e9d2f84e1f88b8eef4610d871d", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:37<00:00, 3.15it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_24956933d3d54f3facfa4c011c5729c5" + } + }, + "221926daf5fe41a794ed719d7f76cf84": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "b9a1fa32188d4601865452b6a6f4d309": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d584b7e9d2f84e1f88b8eef4610d871d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "24956933d3d54f3facfa4c011c5729c5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "28a4a8ef007049b0b32ca31c8db019cc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_37c35d320c954a5992fc0d01fc14f73e", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_54f32d17094347e4ab88d01d4ba4031b", + "IPY_MODEL_03d730686f5f4e78a33950531b86ee58" + ] + } + }, + "37c35d320c954a5992fc0d01fc14f73e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "54f32d17094347e4ab88d01d4ba4031b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_caff1f9a5c9e4140ac7e466cf7edff91", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9903a38e6171414cb7068aac33f928b8" + } + }, + "03d730686f5f4e78a33950531b86ee58": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_cd9afc23acc644f89ea4e07bf130fcf1", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [09:14<00:00, 1.10s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6d2dc0d77ad04bfeabee4ea0814fc8a1" + } + }, + "caff1f9a5c9e4140ac7e466cf7edff91": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "9903a38e6171414cb7068aac33f928b8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cd9afc23acc644f89ea4e07bf130fcf1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "6d2dc0d77ad04bfeabee4ea0814fc8a1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "76c4177c9e364afa87ddfb2a2d29aa2d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_ef54ada3767d4700b6a8b43cd944973b", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_809f1e1ff0a94f529b024dd351064050", + "IPY_MODEL_3115f14d4af440ef921f745a4851d25d" + ] + } + }, + "ef54ada3767d4700b6a8b43cd944973b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "809f1e1ff0a94f529b024dd351064050": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_066b468541e844a581e1ba014e30ddd8", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_84f2621a28f640e690c805d424acbfd7" + } + }, + "3115f14d4af440ef921f745a4851d25d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_3183afe05c184865b16ee8d92925e4b5", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:38<00:00, 3.16it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_78a84a8cc6bc4e8a888045564f3d4a22" + } + }, + "066b468541e844a581e1ba014e30ddd8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "84f2621a28f640e690c805d424acbfd7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3183afe05c184865b16ee8d92925e4b5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "78a84a8cc6bc4e8a888045564f3d4a22": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c3c60bf0b1df4b15a52974d2b131d558": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_f6d8fbcf91b743aea3be7a4e48eb4d5a", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_fa432fe0b6cb4d26a421f09b206e126d", + "IPY_MODEL_e0ae27a443e749808a100a2329b2b53f" + ] + } + }, + "f6d8fbcf91b743aea3be7a4e48eb4d5a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fa432fe0b6cb4d26a421f09b206e126d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_98be6efe90b3426b8b45808061372063", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_53ec38145c1e4fb7b7b778ba1c8b4fdf" + } + }, + "e0ae27a443e749808a100a2329b2b53f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_11720705c45d48ac80fb5b5a07b9ab11", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [09:14<00:00, 1.10s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5bf09868bce44a25ac5e866ddb527bda" + } + }, + "98be6efe90b3426b8b45808061372063": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "53ec38145c1e4fb7b7b778ba1c8b4fdf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "11720705c45d48ac80fb5b5a07b9ab11": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "5bf09868bce44a25ac5e866ddb527bda": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ae453dfd410c4a359e34161815a43e81": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2e8c02526bf641508614476f38a10032", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_bcfb253dc8194222a5897507957f6242", + "IPY_MODEL_16150af1445241228efc90d5e793f0ae" + ] + } + }, + "2e8c02526bf641508614476f38a10032": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bcfb253dc8194222a5897507957f6242": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_d6dbf5239647416eb61a719c8c94fdd6", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_428132798f814b6692a21c26e4ca2b98" + } + }, + "16150af1445241228efc90d5e793f0ae": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_8dac3a6f6b1246de828c07d1e42d0df4", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [02:39<00:00, 3.17it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7bb8472c83de4f30b7cf510678785d98" + } + }, + "d6dbf5239647416eb61a719c8c94fdd6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "428132798f814b6692a21c26e4ca2b98": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8dac3a6f6b1246de828c07d1e42d0df4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "7bb8472c83de4f30b7cf510678785d98": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bb023b97d6af46fdacb249146ce23d18": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_eb3697ecbe4f463f8bc6a5695b3d69ac", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_9ea39c93b4a84f6192a5e0b0860dab4a", + "IPY_MODEL_2941538a9ee549538b468bcdbcb4b513" + ] + } + }, + "eb3697ecbe4f463f8bc6a5695b3d69ac": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9ea39c93b4a84f6192a5e0b0860dab4a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_80014b03a7e141488dfe9579cadd2c96", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_af6fd5cde8fa420c9a78533868bf092a" + } + }, + "2941538a9ee549538b468bcdbcb4b513": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_13070b57435148508d7ab85cde52994f", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [2:13:19<00:00, 799.95s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9c951c479bea4fbc85a240939921b10d" + } + }, + "80014b03a7e141488dfe9579cadd2c96": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "af6fd5cde8fa420c9a78533868bf092a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "13070b57435148508d7ab85cde52994f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9c951c479bea4fbc85a240939921b10d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d61b4240bbcb4537b7ea3c633c56be57": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2188bd3a50004b1883fad949ee5f792d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_79d6be3acd7b4336af39184b5dd55d7c", + "IPY_MODEL_0afb41b0c9b044379e6c30ea1e69fd3f" + ] + } + }, + "2188bd3a50004b1883fad949ee5f792d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "79d6be3acd7b4336af39184b5dd55d7c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ccde210e7cff4b51b3a24db40ca63b1e", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1854e8d44d74499db8f7bdb548dd52bb" + } + }, + "0afb41b0c9b044379e6c30ea1e69fd3f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_104ecb92511945f4b4cafcb363898984", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [10:10<00:00, 1.21s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c983989bf7d5411d9b33bf24346a1b64" + } + }, + "ccde210e7cff4b51b3a24db40ca63b1e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "1854e8d44d74499db8f7bdb548dd52bb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "104ecb92511945f4b4cafcb363898984": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c983989bf7d5411d9b33bf24346a1b64": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a0e5cce03fcf47fb94110695c7962694": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_9e5541c817734d82beee27979b4b1f75", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_045cd805c47d4da39bb4133446b7ca00", + "IPY_MODEL_51ad5213d6ce4748aa48b0ebcda6d8f8" + ] + } + }, + "9e5541c817734d82beee27979b4b1f75": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "045cd805c47d4da39bb4133446b7ca00": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_33a6b85961d0400680d62c667f2fb64b", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b72272b7b0e74504b7b3d4b9d35ae97e" + } + }, + "51ad5213d6ce4748aa48b0ebcda6d8f8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_3134a39df6f34be0821e028510fbe74e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [03:04<00:00, 2.73it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5025711fd14d42019d6f19aa038f1eec" + } + }, + "33a6b85961d0400680d62c667f2fb64b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "b72272b7b0e74504b7b3d4b9d35ae97e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3134a39df6f34be0821e028510fbe74e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "5025711fd14d42019d6f19aa038f1eec": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b7fbc7ad3cdb4309980d39b028578e6c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_01b07317c0014eeebe2923e8966ef1fa", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_af9025ac16ee4716b53267c422471a66", + "IPY_MODEL_982753caee47465b87ec376ef2b2291d" + ] + } + }, + "01b07317c0014eeebe2923e8966ef1fa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "af9025ac16ee4716b53267c422471a66": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_77b23fc6595a41799996b85f753ab347", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3787931a94dc4c7d9531c7ffecc7d641" + } + }, + "982753caee47465b87ec376ef2b2291d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7d6ababa5cec4412bfbf7770f779fd65", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [10:09<00:00, 1.22s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f9949346a2fc46caafaba3a7c5c4425f" + } + }, + "77b23fc6595a41799996b85f753ab347": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "3787931a94dc4c7d9531c7ffecc7d641": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7d6ababa5cec4412bfbf7770f779fd65": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f9949346a2fc46caafaba3a7c5c4425f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2db862c296e744948676406f1b488489": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_0ff4a5c35a8c494a867639c0b98639eb", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_65570931af4d43dc9d72f4bbf18a47ae", + "IPY_MODEL_8c44b85d4f39468fa80e91ec64e8dd9a" + ] + } + }, + "0ff4a5c35a8c494a867639c0b98639eb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "65570931af4d43dc9d72f4bbf18a47ae": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b83eadffe4b14ada8d32bd6f28808c9b", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f2fa8c3cae9e4d768ace7bb80e067201" + } + }, + "8c44b85d4f39468fa80e91ec64e8dd9a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_52d2a10ca3ac4b76992e3b78528ed93f", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [03:04<00:00, 2.71it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f6c7efccf8124c6fb1f414b9c564612f" + } + }, + "b83eadffe4b14ada8d32bd6f28808c9b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f2fa8c3cae9e4d768ace7bb80e067201": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "52d2a10ca3ac4b76992e3b78528ed93f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "f6c7efccf8124c6fb1f414b9c564612f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fec814e472ee48bb8d50ab6fa58d47bb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_0ea9dadbed8e4409841725845ace54ee", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3dabf67e36314d9e96fb0274e31028b8", + "IPY_MODEL_71928b9213344197afccc67f76d33904" + ] + } + }, + "0ea9dadbed8e4409841725845ace54ee": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3dabf67e36314d9e96fb0274e31028b8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_fc5c23a1c7bf4132abba142f8ef501ef", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_879e512f3a4047628cbccad43e2b99a2" + } + }, + "71928b9213344197afccc67f76d33904": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_c57a537032184048a97666343a462763", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [10:10<00:00, 1.22s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_113a556be96e47d4b205b7ae200e2398" + } + }, + "fc5c23a1c7bf4132abba142f8ef501ef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "879e512f3a4047628cbccad43e2b99a2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c57a537032184048a97666343a462763": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "113a556be96e47d4b205b7ae200e2398": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "695e3fb8fc08448096eaccf05645a295": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_7502cee35621416fa5bb0ace814874cd", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_5f4cda8490ab4d349ee1f3063e91267c", + "IPY_MODEL_5e58e4150e414d83bcc8c5ed283c68a4" + ] + } + }, + "7502cee35621416fa5bb0ace814874cd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5f4cda8490ab4d349ee1f3063e91267c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_854c4cc9724d40fab4f0b36c253e28c6", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4750ecd4ea354233b4263182fbb70ad1" + } + }, + "5e58e4150e414d83bcc8c5ed283c68a4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_cc2cc9d3eccf48a0a31535919fe8e8a8", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [03:03<00:00, 2.74it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ad035f4898354dfcb9db85f31cdbc0d6" + } + }, + "854c4cc9724d40fab4f0b36c253e28c6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4750ecd4ea354233b4263182fbb70ad1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cc2cc9d3eccf48a0a31535919fe8e8a8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "ad035f4898354dfcb9db85f31cdbc0d6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0b34bc5cb22241769ce08fd29166af95": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_41610fd302fd4922b7d641324e0b86f2", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_32296e4b0c274723ac5c498cae7e6adf", + "IPY_MODEL_a4e0123bc374456f940046c1bb3f736f" + ] + } + }, + "41610fd302fd4922b7d641324e0b86f2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "32296e4b0c274723ac5c498cae7e6adf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ac838d3838b54de4853419000aabecea", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_581d0cdf968d4417a4460759b5020b6e" + } + }, + "a4e0123bc374456f940046c1bb3f736f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_584ab2b36dd34a02ab268632c087e6aa", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [10:09<00:00, 1.21s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ae335bdd10e14310a423d0ed7f578c4b" + } + }, + "ac838d3838b54de4853419000aabecea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "581d0cdf968d4417a4460759b5020b6e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "584ab2b36dd34a02ab268632c087e6aa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "ae335bdd10e14310a423d0ed7f578c4b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "622156d077cd455d905ea299fd7092d0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d4a488383f2b4cc98ca98c27af526560", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_6e5b0b3ae1b34f80ba377317eaa8d885", + "IPY_MODEL_70e9c38a4487436e9893f9ab02d4a64f" + ] + } + }, + "d4a488383f2b4cc98ca98c27af526560": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6e5b0b3ae1b34f80ba377317eaa8d885": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_93c89d85783b4b4f972960a41feb988e", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_cbd6011f1b46417aa2a32ca6334fc7f5" + } + }, + "70e9c38a4487436e9893f9ab02d4a64f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_51b49373145542a6a921e1570ab67899", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [03:04<00:00, 2.77it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_65ddd5503aa44e1890d4c3c80c21a0e0" + } + }, + "93c89d85783b4b4f972960a41feb988e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "cbd6011f1b46417aa2a32ca6334fc7f5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "51b49373145542a6a921e1570ab67899": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "65ddd5503aa44e1890d4c3c80c21a0e0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "43f1c59714f143fdb85f896e65cadfd0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_104dd41ce19440c5b72b6ad189db196d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a811d53295df4d3183dd960d4b3c6f82", + "IPY_MODEL_e15f13ddd77a4550bca94192991d9ea4" + ] + } + }, + "104dd41ce19440c5b72b6ad189db196d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a811d53295df4d3183dd960d4b3c6f82": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_aef7fc0bee6a45e186470e7721a90493", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c473ee7edd1947218e2168621263e5d2" + } + }, + "e15f13ddd77a4550bca94192991d9ea4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_b2c2cead081740568ba7267e3dd3382e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [10:09<00:00, 1.21s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7f3482d3eed5411a8c2996d6949425d0" + } + }, + "aef7fc0bee6a45e186470e7721a90493": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "c473ee7edd1947218e2168621263e5d2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b2c2cead081740568ba7267e3dd3382e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "7f3482d3eed5411a8c2996d6949425d0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c3dd53422f9246c2bed5d4001e95cb9d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_7b633bb9f81f407e82cd421dad77d666", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_d97099b7115d4fd8a5d50885313b0c0d", + "IPY_MODEL_280cdf7321f54fa18ea779446fb9b689" + ] + } + }, + "7b633bb9f81f407e82cd421dad77d666": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d97099b7115d4fd8a5d50885313b0c0d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c1fc987de047429987b70902985cd201", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_867fd65ce13d4d1bace8f28b0a2f924a" + } + }, + "280cdf7321f54fa18ea779446fb9b689": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_64dfe4ee70f44e2b8de16b0494de8634", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [03:03<00:00, 2.75it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9249bec4b0b7425cb97db28d6c96e3da" + } + }, + "c1fc987de047429987b70902985cd201": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "867fd65ce13d4d1bace8f28b0a2f924a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "64dfe4ee70f44e2b8de16b0494de8634": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9249bec4b0b7425cb97db28d6c96e3da": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7bdd766a4ec74315977a9d10135b3957": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_48ad724796264fdaa4a36aab3934c0e6", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3770e7d710724ecd971ebeee10725c53", + "IPY_MODEL_6c0a9a9b16b44150a50611b401a970a9" + ] + } + }, + "48ad724796264fdaa4a36aab3934c0e6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3770e7d710724ecd971ebeee10725c53": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c9c7e92393eb4ceca49ec2a9646116ed", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_30994f3e15d44a3c8ac6248dad94ccde" + } + }, + "6c0a9a9b16b44150a50611b401a970a9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_65d6fa2a46f44fc8a12d8310d1804d03", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [10:09<00:00, 1.21s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c7597882e345400291e34f4b35c47bcf" + } + }, + "c9c7e92393eb4ceca49ec2a9646116ed": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "30994f3e15d44a3c8ac6248dad94ccde": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "65d6fa2a46f44fc8a12d8310d1804d03": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c7597882e345400291e34f4b35c47bcf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8f1034a035b24481878e2812332ae315": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_fd31d949c40d4bdb8db7d095e8af7f8c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_c93b7d22d91146339f86122768d5c03e", + "IPY_MODEL_3affcec8c4834aa08840714994f1e6c4" + ] + } + }, + "fd31d949c40d4bdb8db7d095e8af7f8c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c93b7d22d91146339f86122768d5c03e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4146217f92d2486abb8151cecac79f7b", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_58e3ea59248341b2b7a7995516657d93" + } + }, + "3affcec8c4834aa08840714994f1e6c4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_263997b941fe414e82d221e9a5b5add3", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [03:08<00:00, 2.74it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b60e0e6c2d0f45adafcca959cbfb683d" + } + }, + "4146217f92d2486abb8151cecac79f7b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "58e3ea59248341b2b7a7995516657d93": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "263997b941fe414e82d221e9a5b5add3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b60e0e6c2d0f45adafcca959cbfb683d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "96933cdaa9e14785b585ff65d8af879e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_17635c9b0f33447b934aa1804c5a7cf6", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ca6849f39e9944fe8b0bdb9921a362b2", + "IPY_MODEL_328c5f30b94241bb9d69dc7478e51e01" + ] + } + }, + "17635c9b0f33447b934aa1804c5a7cf6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ca6849f39e9944fe8b0bdb9921a362b2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_7402afaa02bb4f8ebf0d23e73113058c", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e62aab20909f4df2b29f5c317d758000" + } + }, + "328c5f30b94241bb9d69dc7478e51e01": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_fb4845d3f29e443cbd7e58b68118d840", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [10:10<00:00, 1.21s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5fffaacad98e481c968f11c77f727da0" + } + }, + "7402afaa02bb4f8ebf0d23e73113058c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e62aab20909f4df2b29f5c317d758000": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fb4845d3f29e443cbd7e58b68118d840": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "5fffaacad98e481c968f11c77f727da0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d3a9b3b704ef4bcea383b3fb7ba2c724": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d51104ab0d814bda96bdbc7f7ad2914e", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_aef444739b1346c08ef4aeecdb94e608", + "IPY_MODEL_3b7a0dbdc8ad46cf9e1b5b60f6baefda" + ] + } + }, + "d51104ab0d814bda96bdbc7f7ad2914e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "aef444739b1346c08ef4aeecdb94e608": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4dd5d08a84dc4502b0a72d8b21c528e7", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2739f2bf24b249a6a190ecd123dca428" + } + }, + "3b7a0dbdc8ad46cf9e1b5b60f6baefda": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_132a044e0cc74440a868b34c745724bb", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [03:02<00:00, 2.76it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_20977f0157c343e4a6662aef763022b5" + } + }, + "4dd5d08a84dc4502b0a72d8b21c528e7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2739f2bf24b249a6a190ecd123dca428": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "132a044e0cc74440a868b34c745724bb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "20977f0157c343e4a6662aef763022b5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "218039b9228344a6b054fd3334869bbc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4f0996b0776f4434bfd5c820340f4b33", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_63de59752c084cb78bcec216fc9f803e", + "IPY_MODEL_7f779c542b9a44129b0b2186bd69c366" + ] + } + }, + "4f0996b0776f4434bfd5c820340f4b33": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "63de59752c084cb78bcec216fc9f803e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_5e36a99348e34f5599d9f24dd39776ca", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b8685501535240af8e0cc017145c2986" + } + }, + "7f779c542b9a44129b0b2186bd69c366": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_42262dc9e9004489ac98a5e56e0d1810", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [10:08<00:00, 1.21s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6ad13365d38a45f1bccb4b2ce5098529" + } + }, + "5e36a99348e34f5599d9f24dd39776ca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "b8685501535240af8e0cc017145c2986": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "42262dc9e9004489ac98a5e56e0d1810": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "6ad13365d38a45f1bccb4b2ce5098529": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6bcb5950e6294b6b84aab598a768b680": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_b6283911357a4ced82dc7e019470dd5c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_7d5af012ac00486793a259b056d682da", + "IPY_MODEL_a5b078c7edd34e678393da572b3ae1a5" + ] + } + }, + "b6283911357a4ced82dc7e019470dd5c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7d5af012ac00486793a259b056d682da": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_356135c9f5f24027bc91b4d2578ea6b1", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_976085badbb64b61a2e7dbe78e3da6e3" + } + }, + "a5b078c7edd34e678393da572b3ae1a5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_849429168b7a4d748d041e0d3d734f03", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [03:02<00:00, 2.81it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8e32b0dee88f4e1692613a90b38f7a29" + } + }, + "356135c9f5f24027bc91b4d2578ea6b1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "976085badbb64b61a2e7dbe78e3da6e3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "849429168b7a4d748d041e0d3d734f03": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "8e32b0dee88f4e1692613a90b38f7a29": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a102102a6f7e4b02860c5dc9d6c25ce0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_38302e9c4f224b3686ec6f8b1bea11d6", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_e59a05adca4f40ed86ae46154df9c8d3", + "IPY_MODEL_bdb439fedf7c4e138db544674c21a186" + ] + } + }, + "38302e9c4f224b3686ec6f8b1bea11d6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e59a05adca4f40ed86ae46154df9c8d3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_3acb3d42109141ac894f2da260145b77", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b19e7974c87f4e05bb01f1ec4d7c7d61" + } + }, + "bdb439fedf7c4e138db544674c21a186": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_0c142d247bc840d682606b2a44ee7b0c", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [10:09<00:00, 1.21s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9955b1abb5414155923556365569b08b" + } + }, + "3acb3d42109141ac894f2da260145b77": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "b19e7974c87f4e05bb01f1ec4d7c7d61": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0c142d247bc840d682606b2a44ee7b0c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9955b1abb5414155923556365569b08b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "dfc7ea55656a4689982d6c9fd8caad05": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_47d92f92b05743df9a231c3aaa33cb25", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_4168b438f82f4824b9d1479983b4c4de", + "IPY_MODEL_a29edc84c1084bdca1bd0efcac1dcbb7" + ] + } + }, + "47d92f92b05743df9a231c3aaa33cb25": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4168b438f82f4824b9d1479983b4c4de": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_db75a00ebc0c429b842306850da53e5d", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b53d5403aff745e8b10e46bc9a8879b1" + } + }, + "a29edc84c1084bdca1bd0efcac1dcbb7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_f9a776316e174beaabf4f35f8e0f8295", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [03:01<00:00, 2.77it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5f45ecaf824b46dba83a305a4f60e5ef" + } + }, + "db75a00ebc0c429b842306850da53e5d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "b53d5403aff745e8b10e46bc9a8879b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f9a776316e174beaabf4f35f8e0f8295": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "5f45ecaf824b46dba83a305a4f60e5ef": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4f1024cc3b7049f293aad03cfaf85b05": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_f23883ed41ab4d44892a64de290dcf5d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a246bf8ff48c452086206d04e3b94caa", + "IPY_MODEL_c7f213e5c9394201b205e677cd7209e5" + ] + } + }, + "f23883ed41ab4d44892a64de290dcf5d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a246bf8ff48c452086206d04e3b94caa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f1d3548b60a74d7ea9cda90f09ee2132", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_bde32d6ba5ab457ca63a246349ff7113" + } + }, + "c7f213e5c9394201b205e677cd7209e5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a6329d0fa29041f98994828787874e36", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [10:09<00:00, 1.21s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b4959d1c789f4a2aa4d8681c1351d02a" + } + }, + "f1d3548b60a74d7ea9cda90f09ee2132": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "bde32d6ba5ab457ca63a246349ff7113": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a6329d0fa29041f98994828787874e36": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b4959d1c789f4a2aa4d8681c1351d02a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "19e06faf5de343be9a4e15186324602f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_3da1076de103497389c936bfebb9e8cc", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_fb088870f4ba47cd9f580d811aef1b24", + "IPY_MODEL_60f9ff4a1b2c4b05b6f0ffeb9d01c7b1" + ] + } + }, + "3da1076de103497389c936bfebb9e8cc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fb088870f4ba47cd9f580d811aef1b24": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_1b81b6801f0b4be886465054c38f90b6", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 469, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 469, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_94fd8e538e654d3eba7aaaf25b49a124" + } + }, + "60f9ff4a1b2c4b05b6f0ffeb9d01c7b1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_cd7026259f0a4771ac8cc8292c0a10a2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 469/469 [03:02<00:00, 2.74it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_538db7d8d2324262b382f7f1d4444e73" + } + }, + "1b81b6801f0b4be886465054c38f90b6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "94fd8e538e654d3eba7aaaf25b49a124": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cd7026259f0a4771ac8cc8292c0a10a2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "538db7d8d2324262b382f7f1d4444e73": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "36ed92d65e0b4c3582e1f7aa5022a89b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_ffa1706039d64cbfaec1ab8a88125d08", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_a34ef1b5f7ff45799721b45442c7fe40", + "IPY_MODEL_a20e894fb411495598a09817c08901a9" + ] + } + }, + "ffa1706039d64cbfaec1ab8a88125d08": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a34ef1b5f7ff45799721b45442c7fe40": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_15ae621c5df242dd9ea30e43f80aa00b", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_089b32c7c83248ba8d186ef1a34a099a" + } + }, + "a20e894fb411495598a09817c08901a9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7e01da2e9771459a905f1136a7adb532", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [05:39<00:00, 33.93s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5b8c81de7a544bbcbfd95d717142661f" + } + }, + "15ae621c5df242dd9ea30e43f80aa00b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "089b32c7c83248ba8d186ef1a34a099a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7e01da2e9771459a905f1136a7adb532": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "5b8c81de7a544bbcbfd95d717142661f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8deb4a82885e4337b516a198264568a9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_70f9beb58d094c6092cf6e9dfd0f7f61", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_adb3f44eddd543caa4d18b7f5462b236", + "IPY_MODEL_c582be1489b14e558dfe0c085a0ca4c2" + ] + } + }, + "70f9beb58d094c6092cf6e9dfd0f7f61": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "adb3f44eddd543caa4d18b7f5462b236": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_4f69b06a88364949a00f594d9bb356b3", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_566c650a0f664e2d93f88f7115be812c" + } + }, + "c582be1489b14e558dfe0c085a0ca4c2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_16f1c48e12c442fdbd7ab3aaa5fa3294", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [00:17<00:00, 35.01it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_07e8caec2292436dbcec1f86008506d6" + } + }, + "4f69b06a88364949a00f594d9bb356b3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "566c650a0f664e2d93f88f7115be812c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "16f1c48e12c442fdbd7ab3aaa5fa3294": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "07e8caec2292436dbcec1f86008506d6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1ac7e36eb96649e0a8985acfc7c56aa2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_c57ff0bd06354ea485605520d4192636", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_735a923a2428452ba7b4fef9f5e08e87", + "IPY_MODEL_00a1a02192534294a342528a00c668c6" + ] + } + }, + "c57ff0bd06354ea485605520d4192636": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "735a923a2428452ba7b4fef9f5e08e87": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_688ba0604bfc452c836a3e268abb3ff3", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5ddc3cd305344b62b2aa4ac1368612ac" + } + }, + "00a1a02192534294a342528a00c668c6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_0cede02c706149fd9b7e079c938beaf3", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 69.08it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0f2ace7c3c0041fb9ad085ed3a43c4eb" + } + }, + "688ba0604bfc452c836a3e268abb3ff3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5ddc3cd305344b62b2aa4ac1368612ac": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0cede02c706149fd9b7e079c938beaf3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "0f2ace7c3c0041fb9ad085ed3a43c4eb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2c1f755b92b846ef8afb871dbc26a41f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4897d32b92d847918afac3daefdbbe55", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_32fada5346fa491caee75501e935ff24", + "IPY_MODEL_db010ea7392a491a8b5ce50c7cf3d964" + ] + } + }, + "4897d32b92d847918afac3daefdbbe55": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "32fada5346fa491caee75501e935ff24": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_dab83e73c50e4da182c15cd926a27199", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_59f87bf4ab62406d8f080d2545d458a3" + } + }, + "db010ea7392a491a8b5ce50c7cf3d964": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_9d291c3c70654c0e95eb87896a1968fc", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [00:17<00:00, 37.27it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1ad1d604351543d58ab395cfc20b990d" + } + }, + "dab83e73c50e4da182c15cd926a27199": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "59f87bf4ab62406d8f080d2545d458a3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9d291c3c70654c0e95eb87896a1968fc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "1ad1d604351543d58ab395cfc20b990d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e7479fb01a124841a4a872aec47e7a3d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_902b3998eaf241fdae7dc5942b957bb4", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_c390b5acd07143248f36e40789b88584", + "IPY_MODEL_949fed2522e94930969d2dfa738fc096" + ] + } + }, + "902b3998eaf241fdae7dc5942b957bb4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c390b5acd07143248f36e40789b88584": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_165ca0eee6ed4afe820b4c7da3401e2e", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6e3373043c834254beba68d32d28050d" + } + }, + "949fed2522e94930969d2dfa738fc096": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_5919dd910a9b4a14b537ef656ae9f925", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 66.53it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_fab564ff55434c8daaa3057fe44aeda6" + } + }, + "165ca0eee6ed4afe820b4c7da3401e2e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6e3373043c834254beba68d32d28050d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5919dd910a9b4a14b537ef656ae9f925": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "fab564ff55434c8daaa3057fe44aeda6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "dfa597b1190a47bfab0455f752ed42ce": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_754d1b2fa80747a8b12456b1322faca3", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_d0e21197e6244310a6bcafae018f3657", + "IPY_MODEL_6091773e32e84025b3adc74437ac1041" + ] + } + }, + "754d1b2fa80747a8b12456b1322faca3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d0e21197e6244310a6bcafae018f3657": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_3865ed83125d44578f1ecc3c0c48c4b5", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5e14263cfa1e441a8dde099acd23cf7b" + } + }, + "6091773e32e84025b3adc74437ac1041": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_26e1ce307cf44632bc08609646a3f2e2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [00:17<00:00, 36.23it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_43b40690bc844271b11f0785788ee6a3" + } + }, + "3865ed83125d44578f1ecc3c0c48c4b5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5e14263cfa1e441a8dde099acd23cf7b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "26e1ce307cf44632bc08609646a3f2e2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "43b40690bc844271b11f0785788ee6a3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b1a64992cb7741b291724eb5a006bf0a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4fc697f1a26047708667dee34b88c30e", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_bca8fe0f6d9a4d91bcd9a7a44e33be4a", + "IPY_MODEL_f25556207a234bc6ba93a91cf1d678ff" + ] + } + }, + "4fc697f1a26047708667dee34b88c30e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bca8fe0f6d9a4d91bcd9a7a44e33be4a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_cd695bfb99d54dcda8b914830a1f3c60", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9af0d847e7d143ef80b22b6cee0d9b79" + } + }, + "f25556207a234bc6ba93a91cf1d678ff": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_763fc82c07af4b308001eebd0162a1d7", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 65.46it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9d0c9a8f722d42c393aaacdeebe52894" + } + }, + "cd695bfb99d54dcda8b914830a1f3c60": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "9af0d847e7d143ef80b22b6cee0d9b79": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "763fc82c07af4b308001eebd0162a1d7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9d0c9a8f722d42c393aaacdeebe52894": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b577e0b0483d4dc2ab50d48b59f0bf70": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_ee0147713a414e9b9dc8dd556ffc601a", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_50c1fb410d6649dd98162cb25f21f209", + "IPY_MODEL_4b809883095c4a5c982c5fcbb2cbb23a" + ] + } + }, + "ee0147713a414e9b9dc8dd556ffc601a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "50c1fb410d6649dd98162cb25f21f209": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_0c6febab8d3946eda3a83a80af5aedfe", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_62b4389446ff4971a6c16fd396859e81" + } + }, + "4b809883095c4a5c982c5fcbb2cbb23a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_32b2026ba705400a8384f543e769fccb", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [00:17<00:00, 37.15it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_80dfc7f844084609b1b007e2b44e0bf6" + } + }, + "0c6febab8d3946eda3a83a80af5aedfe": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "62b4389446ff4971a6c16fd396859e81": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "32b2026ba705400a8384f543e769fccb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "80dfc7f844084609b1b007e2b44e0bf6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b88b0c18804e4e7394e4ab76ce2f9b99": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_54adf93997064889938730cff870b3be", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_fc54260ad0ab4dcfafdaaba8ea3db36d", + "IPY_MODEL_cd549e41e7dd4ffe929c26927ccd1c09" + ] + } + }, + "54adf93997064889938730cff870b3be": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fc54260ad0ab4dcfafdaaba8ea3db36d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_06adf0a4e335485bb4ab50841ef895f0", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4b4a48841f2b4b658ee5dcad88ed3eca" + } + }, + "cd549e41e7dd4ffe929c26927ccd1c09": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_2a6764de4df74e819dc8050f82c77f8d", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 65.64it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c9350f61ba0a47ab8354268204e6f6e4" + } + }, + "06adf0a4e335485bb4ab50841ef895f0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4b4a48841f2b4b658ee5dcad88ed3eca": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2a6764de4df74e819dc8050f82c77f8d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c9350f61ba0a47ab8354268204e6f6e4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f8762c94527740399260a395b645698b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_3eff32c25a4a40669e218ad9e38fa4eb", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_8ebb162aff3440dcb1ca28642f816642", + "IPY_MODEL_b863b2a1811b45189ea5daca5a5e97b0" + ] + } + }, + "3eff32c25a4a40669e218ad9e38fa4eb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8ebb162aff3440dcb1ca28642f816642": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f8b758a5a97e42b6933e70241256731f", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_45b84f97d23a4fde855acef430508170" + } + }, + "b863b2a1811b45189ea5daca5a5e97b0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_325a31f2fa574b5c876265cf9733db9c", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [00:17<00:00, 38.00it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7e7167869eac462dad332f46b472b1aa" + } + }, + "f8b758a5a97e42b6933e70241256731f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "45b84f97d23a4fde855acef430508170": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "325a31f2fa574b5c876265cf9733db9c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "7e7167869eac462dad332f46b472b1aa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7436b98ee7304c35b46ce8cbbc900831": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d5a77da28a2f4ff498b830f5fe58be08", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_5683bc195ef54e3b9739c8a15bf20c26", + "IPY_MODEL_dd7e3a78ee154c90a046406c2a409a92" + ] + } + }, + "d5a77da28a2f4ff498b830f5fe58be08": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5683bc195ef54e3b9739c8a15bf20c26": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_258a3c2c195e4fc086f331b33fe667c9", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d2f55f5903d1400bb82123bd14ca18e9" + } + }, + "dd7e3a78ee154c90a046406c2a409a92": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_1688c25d185946369e80e1597bb11e1a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 75.22it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0c1b5eabfde548e1914d58919d905390" + } + }, + "258a3c2c195e4fc086f331b33fe667c9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "d2f55f5903d1400bb82123bd14ca18e9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1688c25d185946369e80e1597bb11e1a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "0c1b5eabfde548e1914d58919d905390": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3d0f4038aff64282a75ed6341751bf1d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_cfce639e95714723b472b9e4ccb75b0f", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_b9b2edf3491f4b368673c5bc21a16347", + "IPY_MODEL_3dcf54fea9944084aee5766f59e168f0" + ] + } + }, + "cfce639e95714723b472b9e4ccb75b0f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b9b2edf3491f4b368673c5bc21a16347": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_0b9f8a6c3afe480f89a3977189d7fe23", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_cfe1bd1e2f3e48e38e4b8de3ec0b90fb" + } + }, + "3dcf54fea9944084aee5766f59e168f0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_806cea089e7846b6b26b77c9401a3319", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [00:17<00:00, 36.05it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4414ab08486543ff91c97a0a803b074c" + } + }, + "0b9f8a6c3afe480f89a3977189d7fe23": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "cfe1bd1e2f3e48e38e4b8de3ec0b90fb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "806cea089e7846b6b26b77c9401a3319": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "4414ab08486543ff91c97a0a803b074c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6273be9cda97464b908bcc1976bbcf39": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_7aed9cdb17f24246b2901aac61365d8c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_028845dffd2747a788924ccfb53ea408", + "IPY_MODEL_3f05e945b20543e9892235508a938c87" + ] + } + }, + "7aed9cdb17f24246b2901aac61365d8c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "028845dffd2747a788924ccfb53ea408": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b97cb0c7935d468f974f5112a7c4a1dd", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e659546e20db48db938eea249a8bc123" + } + }, + "3f05e945b20543e9892235508a938c87": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_bcbb2be9f4244ce4896c2989d20915c6", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 66.72it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2fe95db9968b41b585065cee7aaf8d92" + } + }, + "b97cb0c7935d468f974f5112a7c4a1dd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e659546e20db48db938eea249a8bc123": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "bcbb2be9f4244ce4896c2989d20915c6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "2fe95db9968b41b585065cee7aaf8d92": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9f9590c955474deabd011067092da6b3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_598326a6c3c44d9ca41aabfd8edd1462", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_caeb9bafce5843ba974c60f2988140cc", + "IPY_MODEL_3b556fcb533a44f19b86f59267bedaef" + ] + } + }, + "598326a6c3c44d9ca41aabfd8edd1462": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "caeb9bafce5843ba974c60f2988140cc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_450efe544c074c78ad3143a13a13d4ab", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9437c8abedd84bd4a1d9e910faccf81d" + } + }, + "3b556fcb533a44f19b86f59267bedaef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_118aa02e6c9444c1855af7563c69d109", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [00:17<00:00, 34.80it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_db279a6ca8d84a7795bcd90881c4009f" + } + }, + "450efe544c074c78ad3143a13a13d4ab": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "9437c8abedd84bd4a1d9e910faccf81d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "118aa02e6c9444c1855af7563c69d109": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "db279a6ca8d84a7795bcd90881c4009f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "198d764ec7bf48d89e0325868eb37300": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_8507479dcedd4232be6df60678fc22cd", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_42276adafd104bee85e458f886045b29", + "IPY_MODEL_e6577c5499df4d489736619e74e1f8f0" + ] + } + }, + "8507479dcedd4232be6df60678fc22cd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "42276adafd104bee85e458f886045b29": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_6c42559a63a545e3b3338dceda52621e", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5679c1eafe264f05bd384ccca4b5ed20" + } + }, + "e6577c5499df4d489736619e74e1f8f0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_59159b8cc2374e29ae0b02fb83b6590e", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 68.22it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5f794e9169014959b41b5ae4c2fe3875" + } + }, + "6c42559a63a545e3b3338dceda52621e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5679c1eafe264f05bd384ccca4b5ed20": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "59159b8cc2374e29ae0b02fb83b6590e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "5f794e9169014959b41b5ae4c2fe3875": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "09bde6318f32488ba62eea05df6723e8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_936d2c4044f149419299fdc4e428230c", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ff70dfbc5dc34252bc5e6a7ee5d6e7e8", + "IPY_MODEL_53c0c0cb7aa34fc5939c483fb634aa78" + ] + } + }, + "936d2c4044f149419299fdc4e428230c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ff70dfbc5dc34252bc5e6a7ee5d6e7e8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_cf3f6f7421b74a12ae22787d98402535", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_f0a01b39aa17437da28122b6f57dc440" + } + }, + "53c0c0cb7aa34fc5939c483fb634aa78": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_113d9edf8e974766a0a05b3e442d40d1", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [00:17<00:00, 36.10it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ba91836acbac474b9ada8c963560cc76" + } + }, + "cf3f6f7421b74a12ae22787d98402535": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "f0a01b39aa17437da28122b6f57dc440": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "113d9edf8e974766a0a05b3e442d40d1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "ba91836acbac474b9ada8c963560cc76": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8684ebb6b4014697bac613a3826e146a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_b81c25a7f4d940eea44df4d95530a82d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_6fc36984d4ba468197b15047f1a2f4a8", + "IPY_MODEL_2a05d0e8bbba47cf978eb74ba1e32bc9" + ] + } + }, + "b81c25a7f4d940eea44df4d95530a82d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6fc36984d4ba468197b15047f1a2f4a8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_e68b9cf201ae4e76a77fffcd92c25d5d", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e2733a337bff47c1bf8439eec1eab8a5" + } + }, + "2a05d0e8bbba47cf978eb74ba1e32bc9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_047d22f0277a4957b7487409807ce5fb", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 68.69it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4689ba0f8dbf4c8ca6c6212be32da0a7" + } + }, + "e68b9cf201ae4e76a77fffcd92c25d5d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e2733a337bff47c1bf8439eec1eab8a5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "047d22f0277a4957b7487409807ce5fb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "4689ba0f8dbf4c8ca6c6212be32da0a7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "14968e13ba2840fc8705648173a1d584": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_397b8c1b30d04b27a2fe264fd5980d44", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_1f9b213e5e274cfaa124327af3e06d7d", + "IPY_MODEL_714fc3fc9e504fbb8fc6c0ad345a288b" + ] + } + }, + "397b8c1b30d04b27a2fe264fd5980d44": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1f9b213e5e274cfaa124327af3e06d7d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_ba48494b7e614b94815e35c038217d84", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6853a760ebe44145a194f189f0e96cf4" + } + }, + "714fc3fc9e504fbb8fc6c0ad345a288b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_8e639410ef86418e8e7700d3999b952a", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [00:17<00:00, 34.38it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d5faf005ac3c4bae862e44d7a87d329b" + } + }, + "ba48494b7e614b94815e35c038217d84": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6853a760ebe44145a194f189f0e96cf4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8e639410ef86418e8e7700d3999b952a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "d5faf005ac3c4bae862e44d7a87d329b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e6e5d368417645d0b5f8058c44a0f260": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_2b0140286d704c4fbad37d5f2ae87e22", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_b6e4739750de43d4a840c6244eca51ab", + "IPY_MODEL_684140e67ca54013a95547037bb940ad" + ] + } + }, + "2b0140286d704c4fbad37d5f2ae87e22": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b6e4739750de43d4a840c6244eca51ab": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_27844fad4d454b409cd5924bc0d8f7e9", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_80c9dc8b9cbb4fcd90249a1cd488fbb3" + } + }, + "684140e67ca54013a95547037bb940ad": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_0c494c85a1bd4e1abfaccfd574ddd96c", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 75.60it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_73c44026fbf94d398d19e956c0be402e" + } + }, + "27844fad4d454b409cd5924bc0d8f7e9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "80c9dc8b9cbb4fcd90249a1cd488fbb3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0c494c85a1bd4e1abfaccfd574ddd96c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "73c44026fbf94d398d19e956c0be402e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "aa1c5e39f5e3447f9e737ccf56b0e462": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4ae479a993e843b7b55800216c7ee5ce", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_b5e6d81515254b8b98239a0630530fe4", + "IPY_MODEL_3506addbbf3344d6be94df5d774f0d5b" + ] + } + }, + "4ae479a993e843b7b55800216c7ee5ce": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b5e6d81515254b8b98239a0630530fe4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_37fbee6d2cc54e268007bc803b6d07d4", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_52ef8b7a020044e0a12a1014e60ac9e4" + } + }, + "3506addbbf3344d6be94df5d774f0d5b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_e4975418c2734e4d85f63a6bb7cc26c3", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [00:17<00:00, 37.65it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c99f329170f24de998abffbe41296196" + } + }, + "37fbee6d2cc54e268007bc803b6d07d4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "52ef8b7a020044e0a12a1014e60ac9e4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "e4975418c2734e4d85f63a6bb7cc26c3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c99f329170f24de998abffbe41296196": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1903dd3707fe4a06809ecbe9adff0824": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_4c96d2c2627d4fc7b575c586ac378c8a", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_6fa77e7172214831af1d30fef19514e2", + "IPY_MODEL_d52768d4b481468e9d49bffc304337c7" + ] + } + }, + "4c96d2c2627d4fc7b575c586ac378c8a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6fa77e7172214831af1d30fef19514e2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_26f74a0bc71a4b6a93e213edb60f0df1", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_77a30eb80ee14149aeb2e4becc8b1ecb" + } + }, + "d52768d4b481468e9d49bffc304337c7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_1004b20f8dcc45ba8fb03620844b13f9", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 56.68it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_1d9b3fa50a40457988fab5baffba028b" + } + }, + "26f74a0bc71a4b6a93e213edb60f0df1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "77a30eb80ee14149aeb2e4becc8b1ecb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "1004b20f8dcc45ba8fb03620844b13f9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "1d9b3fa50a40457988fab5baffba028b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5e9e014996844d6d9b7d72ca3a9083fe": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_f22fcb47a4244e0eb751c96686d1331a", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_8d7b1f0e04e74e188201e8f839d1b0ac", + "IPY_MODEL_2bb965c7e0be493db3e57b90726e0a3d" + ] + } + }, + "f22fcb47a4244e0eb751c96686d1331a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8d7b1f0e04e74e188201e8f839d1b0ac": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_dfd646a789a34d5a9539a5e2388c5b62", + "_dom_classes": [], + "description": "Epoch: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "success", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_742c94dc4fbe44a299abd959895b9cb5" + } + }, + "2bb965c7e0be493db3e57b90726e0a3d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_cee82f03f16e4df792880cfe53a680b1", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [11:11<00:00, 67.19s/it]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_298f377b93934ebfbc54ab84a706841a" + } + }, + "dfd646a789a34d5a9539a5e2388c5b62": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "742c94dc4fbe44a299abd959895b9cb5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cee82f03f16e4df792880cfe53a680b1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "298f377b93934ebfbc54ab84a706841a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b654c16dd38b48b98a67c11cd94f5500": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_1c8d61206ada43518f73e5e2bcd4fc7b", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_b5bab70a8d8e4fab890a13df854444d2", + "IPY_MODEL_7ac002e0c1df49429decdb2596a99db5" + ] + } + }, + "1c8d61206ada43518f73e5e2bcd4fc7b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b5bab70a8d8e4fab890a13df854444d2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_013a3851647a44909fe583b514358bea", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7aa95c06427246f7b8ec3d70538d5981" + } + }, + "7ac002e0c1df49429decdb2596a99db5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_fd18f8d5915b46a3a61cf9b76e2a5eaa", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [01:06<00:00, 9.63it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_683603ecdf724410a1791a7ddb041ddd" + } + }, + "013a3851647a44909fe583b514358bea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "7aa95c06427246f7b8ec3d70538d5981": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fd18f8d5915b46a3a61cf9b76e2a5eaa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "683603ecdf724410a1791a7ddb041ddd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f4e011ae0106426bb0448e78d423c10e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_1803995ee3554535a824f3a699307933", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_cdd7f649448d42988cc3c2716939312e", + "IPY_MODEL_db535441c41b444085582d5ae64ce2a1" + ] + } + }, + "1803995ee3554535a824f3a699307933": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cdd7f649448d42988cc3c2716939312e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_7d3a792d8c644e16a5b27d521b33a982", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_2ea63330959e4da788ccfc4b595fc797" + } + }, + "db535441c41b444085582d5ae64ce2a1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_fe130146605b46229869c1c852ca230f", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 32.58it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c898303da4204357960c1612fee78cd9" + } + }, + "7d3a792d8c644e16a5b27d521b33a982": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "2ea63330959e4da788ccfc4b595fc797": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fe130146605b46229869c1c852ca230f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c898303da4204357960c1612fee78cd9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2d49d8a14cd64e3a9de30d9a2fe85acd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_635bb320574245d69eb3b8939d5d76b1", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_c5fe0f5229414f16b28546b4a4f0594d", + "IPY_MODEL_3120ca6fe41e4b21a8f0f58a5bf5d52a" + ] + } + }, + "635bb320574245d69eb3b8939d5d76b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "c5fe0f5229414f16b28546b4a4f0594d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_b198264c059b43baadecf8bd3a8439ee", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_0c1fd0ff0aec40548e76fdd3660c681d" + } + }, + "3120ca6fe41e4b21a8f0f58a5bf5d52a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_4464f731ef8e4790af35ebc21a738405", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [01:07<00:00, 10.09it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_511bc5f2de584f23a842fc32de16e1bb" + } + }, + "b198264c059b43baadecf8bd3a8439ee": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "0c1fd0ff0aec40548e76fdd3660c681d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4464f731ef8e4790af35ebc21a738405": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "511bc5f2de584f23a842fc32de16e1bb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0d87f0774cf546b590469a2b53e76ade": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_7e6c6f029e3443f7bbd0de3386ade0e9", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2b04c66234304ec797afda584d370690", + "IPY_MODEL_55e8c1d7f9204cdfb9ec94417e8bceb3" + ] + } + }, + "7e6c6f029e3443f7bbd0de3386ade0e9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2b04c66234304ec797afda584d370690": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_29bb7983d58d415aba260293ed29e870", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ef989bdea84845b2bae561528885658a" + } + }, + "55e8c1d7f9204cdfb9ec94417e8bceb3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_7a49df4d234940f0a1c6023bce936e3f", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 31.75it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_fba5ce9f5bcf4a7e9ee49d594f8e29ec" + } + }, + "29bb7983d58d415aba260293ed29e870": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ef989bdea84845b2bae561528885658a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7a49df4d234940f0a1c6023bce936e3f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "fba5ce9f5bcf4a7e9ee49d594f8e29ec": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "9df1cc6e522c4095a45f30304b9e86cc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_b15d442723254f1399441418d1813f74", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_3026297d38a44705b7e5de49d31d11f3", + "IPY_MODEL_de536bdaf0314aba819787c313442768" + ] + } + }, + "b15d442723254f1399441418d1813f74": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "3026297d38a44705b7e5de49d31d11f3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_33105c09a9c847e4b11d5a598332a103", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4a73b43044cf41a7871420c688efc26a" + } + }, + "de536bdaf0314aba819787c313442768": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a56b0f935b984db4a932d9ecdc30c654", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [01:05<00:00, 9.55it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c4949d7e26564b6c978882f6d14c6edb" + } + }, + "33105c09a9c847e4b11d5a598332a103": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4a73b43044cf41a7871420c688efc26a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a56b0f935b984db4a932d9ecdc30c654": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c4949d7e26564b6c978882f6d14c6edb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b4da1559b5ac464fbd4538101205e78d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_5528a9bc219a4b31b1f6cebf18f2c08e", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_0685cbd0d3814f7eb1a0c85bb1570258", + "IPY_MODEL_ae5be5fb639344789adc57935e7c0ef6" + ] + } + }, + "5528a9bc219a4b31b1f6cebf18f2c08e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "0685cbd0d3814f7eb1a0c85bb1570258": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_523d52edc6384ecc8df333b0c2134c3a", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b1d2346874804b41ac8b787d915cecad" + } + }, + "ae5be5fb639344789adc57935e7c0ef6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_d774744a047d4ff28d60586f04576d72", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 30.59it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c9c5864a4b854549a459ed0644cbbd18" + } + }, + "523d52edc6384ecc8df333b0c2134c3a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "b1d2346874804b41ac8b787d915cecad": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d774744a047d4ff28d60586f04576d72": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c9c5864a4b854549a459ed0644cbbd18": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "220f8bc5915e4de792f0498f53fe8ece": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_1f43d27ae6b444cc95f249a94a0fe304", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_d95a4f9b45a74dbcaca855c48b05cd7c", + "IPY_MODEL_c5d89e383e664898823d8d6cd06115ef" + ] + } + }, + "1f43d27ae6b444cc95f249a94a0fe304": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d95a4f9b45a74dbcaca855c48b05cd7c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_49951e5ee94a41c9936527c7e2a508f6", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_133d0794ebae46c0995c034c4b928fef" + } + }, + "c5d89e383e664898823d8d6cd06115ef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_fd4067a67d774ac0a502ef0e1c406df2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [01:06<00:00, 9.35it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_96b405101c0f4ea48a772d6a17d14d16" + } + }, + "49951e5ee94a41c9936527c7e2a508f6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "133d0794ebae46c0995c034c4b928fef": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fd4067a67d774ac0a502ef0e1c406df2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "96b405101c0f4ea48a772d6a17d14d16": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "5ee5680f9e024c33a131020de2d492a2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_de3553de630247aab3204412f65b0f69", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_889eba38d04d41319e3f76ed45db68dd", + "IPY_MODEL_8bd33cc4c95740b1997c4db64c27eba4" + ] + } + }, + "de3553de630247aab3204412f65b0f69": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "889eba38d04d41319e3f76ed45db68dd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_8f0cacb6b8134965a1f27dd4900e9df3", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9fa6682cb4a24c9691929f57c56bced0" + } + }, + "8bd33cc4c95740b1997c4db64c27eba4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_da670055aed340558e2d6f45d10059bc", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 30.87it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_815351588d99448e8eecdc704598e266" + } + }, + "8f0cacb6b8134965a1f27dd4900e9df3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "9fa6682cb4a24c9691929f57c56bced0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "da670055aed340558e2d6f45d10059bc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "815351588d99448e8eecdc704598e266": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "7a39a003f61e4770adb26fe0a695ab63": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_d0a110053d6f473bae75aa5a95ec9b52", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_19b470f2c91d41149cf572c34eefdb26", + "IPY_MODEL_0b58c597b0a046908ff23961fc009ec0" + ] + } + }, + "d0a110053d6f473bae75aa5a95ec9b52": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "19b470f2c91d41149cf572c34eefdb26": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c574b1f9e77e427791439ece70205fc1", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4ce78f333759497db29ce70b2e6d4ff6" + } + }, + "0b58c597b0a046908ff23961fc009ec0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_afbb8a2d052546a791bd5ed5bf3b8a63", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [01:05<00:00, 10.00it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_67ae1cecb65843c0a6739e1147630699" + } + }, + "c574b1f9e77e427791439ece70205fc1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4ce78f333759497db29ce70b2e6d4ff6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "afbb8a2d052546a791bd5ed5bf3b8a63": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "67ae1cecb65843c0a6739e1147630699": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "b63ccb684e874a378d1313983a6a8074": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_a5d1e480bb624772810976decdb43366", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_61f7e71a0ff54d87b91a73d1f7ead754", + "IPY_MODEL_a90f6d0ab5ac4d29b3732beea0b969bd" + ] + } + }, + "a5d1e480bb624772810976decdb43366": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "61f7e71a0ff54d87b91a73d1f7ead754": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_fe80c9424d6442cdb5888f7c534449e7", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_4c6f66a90067456ba99ecb244744caf7" + } + }, + "a90f6d0ab5ac4d29b3732beea0b969bd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_8b6fa791443c4279b7799ab9804ba8c2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 29.87it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_9912513f640a432ca0651d8edcbe0fab" + } + }, + "fe80c9424d6442cdb5888f7c534449e7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "4c6f66a90067456ba99ecb244744caf7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "8b6fa791443c4279b7799ab9804ba8c2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "9912513f640a432ca0651d8edcbe0fab": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "dd4c37c8c87d4f82aa8f97353cf3463a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_5e67890ad78b4a278769308eabae5f50", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_2fe0e0584da74f7581b616f7b4ba7e89", + "IPY_MODEL_bf020368a23d478ca632c3d2f30dc981" + ] + } + }, + "5e67890ad78b4a278769308eabae5f50": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2fe0e0584da74f7581b616f7b4ba7e89": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_afa6e99772334a8d8c4665079c15b758", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_e4657a0566c44766a77cc375222a52e2" + } + }, + "bf020368a23d478ca632c3d2f30dc981": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_387e355de68c43f1a2a0eb3f4b8e8fb0", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [01:06<00:00, 8.81it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_530fa94e522547baa4a463588faa13f8" + } + }, + "afa6e99772334a8d8c4665079c15b758": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "e4657a0566c44766a77cc375222a52e2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "387e355de68c43f1a2a0eb3f4b8e8fb0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "530fa94e522547baa4a463588faa13f8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cf8f7ae055244ca8b7d742b0383a1715": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_6d1795bb7bd74b2a98249305ef68ec6d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_d538654ffe5047f29a365ca1f11e367a", + "IPY_MODEL_01aab0fff14b4edfa6d3cd7055e82012" + ] + } + }, + "6d1795bb7bd74b2a98249305ef68ec6d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d538654ffe5047f29a365ca1f11e367a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_7e312738bca843ee8621915ee9d91065", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6d7cdf3e33e94ecaae173ee46291457f" + } + }, + "01aab0fff14b4edfa6d3cd7055e82012": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_fc60ffbdbd2742809035433172f682cc", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 28.94it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_8736b65568cc40d4a274ab8ecc5ddee1" + } + }, + "7e312738bca843ee8621915ee9d91065": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6d7cdf3e33e94ecaae173ee46291457f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "fc60ffbdbd2742809035433172f682cc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "8736b65568cc40d4a274ab8ecc5ddee1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ef20890475984c95af156fad121db15d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_5ccaec3ef4664257b614c856e67e55b2", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_f676acf78f914558a0a36242a56b8019", + "IPY_MODEL_5f4b13b0a3a849d384c086f019eabb6c" + ] + } + }, + "5ccaec3ef4664257b614c856e67e55b2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "f676acf78f914558a0a36242a56b8019": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_c20b8fa8369f44c08429cc71faa2c782", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_5c55b5e1bcca47b8afc59618f6add363" + } + }, + "5f4b13b0a3a849d384c086f019eabb6c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_d8f10f34df6c4ad1a65a959b9226b2b2", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [01:07<00:00, 9.14it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_7c5f0e5fdd0843909779a9a94248ff14" + } + }, + "c20b8fa8369f44c08429cc71faa2c782": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "5c55b5e1bcca47b8afc59618f6add363": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d8f10f34df6c4ad1a65a959b9226b2b2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "7c5f0e5fdd0843909779a9a94248ff14": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d145d663a6a840aabec1676c0b2ff8f2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_5b5d2737987a49c7a1786e6ae8889fcc", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_13406e949eea4e52ab3961141ec988ab", + "IPY_MODEL_99942850c0184faba70b4cb471cd74fc" + ] + } + }, + "5b5d2737987a49c7a1786e6ae8889fcc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "13406e949eea4e52ab3961141ec988ab": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_92270b402c85415c873f7008b3589128", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_3cca7054b79945d88360dbcc1d6c0b98" + } + }, + "99942850c0184faba70b4cb471cd74fc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_4a9961dde1de4f59b034b3754a71bb4d", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 31.77it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_c0b473541933489981e9126859c247ba" + } + }, + "92270b402c85415c873f7008b3589128": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "3cca7054b79945d88360dbcc1d6c0b98": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "4a9961dde1de4f59b034b3754a71bb4d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "c0b473541933489981e9126859c247ba": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "db4fc692d6f742b893044b65ebeb4a59": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_88c334a1aad94091aed31a07049c5d0b", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_cab5cd4e800644f9b2be705da6e92406", + "IPY_MODEL_889859b0fa3f44f5b68cdc3551217ddc" + ] + } + }, + "88c334a1aad94091aed31a07049c5d0b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "cab5cd4e800644f9b2be705da6e92406": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a599cd0b1676415ab9c60e1240dc970f", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_75730d049b2a4585878a612c4653663d" + } + }, + "889859b0fa3f44f5b68cdc3551217ddc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_15e068c667d84892982cfe6910d3acf3", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [01:07<00:00, 8.46it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_bfa8b85d760c46d2b85bc2c03ef4ea61" + } + }, + "a599cd0b1676415ab9c60e1240dc970f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "75730d049b2a4585878a612c4653663d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "15e068c667d84892982cfe6910d3acf3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "bfa8b85d760c46d2b85bc2c03ef4ea61": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a6173574eb0d4b22b75e57b9cdddba9f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_1959f7d492a147bd95206777d5833856", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ab6171a688884d98bbbd32e796ef5c79", + "IPY_MODEL_65962626ca65432bb29d230e66c76118" + ] + } + }, + "1959f7d492a147bd95206777d5833856": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ab6171a688884d98bbbd32e796ef5c79": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_066a69c010fa4ef781fcf7b8cefe8b6c", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_20ef325d45b04d869c38e44931a3c4eb" + } + }, + "65962626ca65432bb29d230e66c76118": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_ad05363c59c846bc9f8e71f111a1fabf", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 29.73it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_51a76256bf034bb6a8690870f7cc8285" + } + }, + "066a69c010fa4ef781fcf7b8cefe8b6c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "20ef325d45b04d869c38e44931a3c4eb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ad05363c59c846bc9f8e71f111a1fabf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "51a76256bf034bb6a8690870f7cc8285": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "2d20e72b1e124b51a434d14add8b8e4d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_482da40335c748cd9b6d27bd8eb73f3d", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_70a226abd6c04f5398827b08555797a8", + "IPY_MODEL_90b93603fc7c4ae89e88834bb0c3102c" + ] + } + }, + "482da40335c748cd9b6d27bd8eb73f3d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "70a226abd6c04f5398827b08555797a8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_a9356ef106e04e06906bfe1efb36f977", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_ba33caf5c3c24a76a2edabb2b7591b26" + } + }, + "90b93603fc7c4ae89e88834bb0c3102c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_47307a3f3e2b4f049bbfa69423d4a2fd", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [01:07<00:00, 8.87it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_b9e065e32d204a7a9ce316dd397147ac" + } + }, + "a9356ef106e04e06906bfe1efb36f977": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "ba33caf5c3c24a76a2edabb2b7591b26": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "47307a3f3e2b4f049bbfa69423d4a2fd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "b9e065e32d204a7a9ce316dd397147ac": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "d134672a598c43cda539e2ae6d4477bc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_f47b88bb15264713acfe227a7c06e39a", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_6820808e128e40539c75f732e6584dc5", + "IPY_MODEL_91da01d45fc048c6ae84be0ce1d8bd55" + ] + } + }, + "f47b88bb15264713acfe227a7c06e39a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "6820808e128e40539c75f732e6584dc5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_f1f38289256740feacc88c625180b41e", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_01923e065f79408b8da1ac69dfc9aced" + } + }, + "91da01d45fc048c6ae84be0ce1d8bd55": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_a22c207ecb984b90b622f93c23471282", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 31.74it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_49b2180e3de8439f8fa37f3884d210ba" + } + }, + "f1f38289256740feacc88c625180b41e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "01923e065f79408b8da1ac69dfc9aced": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a22c207ecb984b90b622f93c23471282": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "49b2180e3de8439f8fa37f3884d210ba": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "41cf8273664646cb97148c3bee8fbbf5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_83b34ce3ebf548a29ea6c1eb6738fa9e", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ab943161266f46698ff9080d892c06f9", + "IPY_MODEL_400fc5a8e30f48889734c835acf0fc44" + ] + } + }, + "83b34ce3ebf548a29ea6c1eb6738fa9e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ab943161266f46698ff9080d892c06f9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_15d157bb86104c898f7bee03b500a2ed", + "_dom_classes": [], + "description": "Training: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 618, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 618, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_aec1d0af42794d398077a1265ae0f201" + } + }, + "400fc5a8e30f48889734c835acf0fc44": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_72157181e66042f799829727b89a5173", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 618/618 [01:09<00:00, 8.93it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_d4f4c3c0a7884221a3f5f26ae4e93f22" + } + }, + "15d157bb86104c898f7bee03b500a2ed": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "aec1d0af42794d398077a1265ae0f201": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "72157181e66042f799829727b89a5173": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "d4f4c3c0a7884221a3f5f26ae4e93f22": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "a1f23297718b4795ae2e47e60885d973": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "state": { + "_view_name": "HBoxView", + "_dom_classes": [], + "_model_name": "HBoxModel", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.5.0", + "box_style": "", + "layout": "IPY_MODEL_341ebf035bdb47f79f6f06c9a7d2b68f", + "_model_module": "@jupyter-widgets/controls", + "children": [ + "IPY_MODEL_ecc95dc148db499a86358c06343ca2c0", + "IPY_MODEL_e0c735d9877a4fd7af9c3903d654c65b" + ] + } + }, + "341ebf035bdb47f79f6f06c9a7d2b68f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ecc95dc148db499a86358c06343ca2c0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "state": { + "_view_name": "ProgressView", + "style": "IPY_MODEL_fbc0846f86a6434faad54a6c3fc92bea", + "_dom_classes": [], + "description": "Validating: 100%", + "_model_name": "FloatProgressModel", + "bar_style": "", + "max": 10, + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": 10, + "_view_count": null, + "_view_module_version": "1.5.0", + "orientation": "horizontal", + "min": 0, + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_6e92df90f4934857926d3901394f0ae8" + } + }, + "e0c735d9877a4fd7af9c3903d654c65b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "state": { + "_view_name": "HTMLView", + "style": "IPY_MODEL_ec8ebdc6bed44799858899a6064f5513", + "_dom_classes": [], + "description": "", + "_model_name": "HTMLModel", + "placeholder": "​", + "_view_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "value": " 10/10 [00:00<00:00, 31.95it/s]", + "_view_count": null, + "_view_module_version": "1.5.0", + "description_tooltip": null, + "_model_module": "@jupyter-widgets/controls", + "layout": "IPY_MODEL_541557f5f1e14a979cb952a241fa7b9f" + } + }, + "fbc0846f86a6434faad54a6c3fc92bea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "ProgressStyleModel", + "description_width": "initial", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "bar_color": null, + "_model_module": "@jupyter-widgets/controls" + } + }, + "6e92df90f4934857926d3901394f0ae8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + }, + "ec8ebdc6bed44799858899a6064f5513": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_view_name": "StyleView", + "_model_name": "DescriptionStyleModel", + "description_width": "", + "_view_module": "@jupyter-widgets/base", + "_model_module_version": "1.5.0", + "_view_count": null, + "_view_module_version": "1.2.0", + "_model_module": "@jupyter-widgets/controls" + } + }, + "541557f5f1e14a979cb952a241fa7b9f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "state": { + "_view_name": "LayoutView", + "grid_template_rows": null, + "right": null, + "justify_content": null, + "_view_module": "@jupyter-widgets/base", + "overflow": null, + "_model_module_version": "1.2.0", + "_view_count": null, + "flex_flow": null, + "width": null, + "min_width": null, + "border": null, + "align_items": null, + "bottom": null, + "_model_module": "@jupyter-widgets/base", + "top": null, + "grid_column": null, + "overflow_y": null, + "overflow_x": null, + "grid_auto_flow": null, + "grid_area": null, + "grid_template_columns": null, + "flex": null, + "_model_name": "LayoutModel", + "justify_items": null, + "grid_row": null, + "max_height": null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + } + } } - }, - "outputs": [], - "source": [ - "cnn_res_model = nn.Sequential(\n", - " ResidualBottleNeck(C, n_filters), #BottleNeck to start because we need more channels. Its also common to start with just one normal hidden layer before starting residual blocks. \n", - " nn.LeakyReLU(leak_rate), #We are inserting a activation after each residual. This is optional. \n", - " ResidualBlockE(n_filters),\n", - " nn.LeakyReLU(leak_rate),\n", - " nn.MaxPool2d((2,2)),\n", - " ResidualBottleNeck(n_filters, 2*n_filters),\n", - " nn.LeakyReLU(leak_rate),\n", - " ResidualBlockE(2*n_filters),\n", - " nn.LeakyReLU(leak_rate),\n", - " nn.MaxPool2d((2,2)),\n", - " ResidualBottleNeck(2*n_filters, 4*n_filters),\n", - " nn.LeakyReLU(leak_rate),\n", - " ResidualBlockE(4*n_filters),\n", - " nn.LeakyReLU(leak_rate),\n", - " nn.Flatten(),\n", - " nn.Linear(D*n_filters//4, classes),\n", - ")" - ] }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:50:07.994399Z", - "start_time": "2020-12-28T17:45:50.434721Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9e2dc3c74da44325a06aa2d4004bcfef", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, + "cells": [ { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "id": "O-6IYADYDnJx", + "outputId": "fe87fae7-2050-4823-bfaa-a744839c30e1", + "colab": { + "base_uri": "https://localhost:8080/" + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Mounted at /content/drive\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "id": "dob04csWDoZs" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "!cp /content/drive/MyDrive/Inside\\ Deep\\ Learning/idlmam.py ." + ], + "execution_count": 3, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:16:05.055584Z", + "start_time": "2020-12-28T17:16:03.999949Z" + }, + "tags": [ + "remove_cell" + ], + "id": "cxTlKLMoDliH" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "import torch\n", + "import torch.nn as nn\n", + "import torch.nn.functional as F\n", + "import torchvision \n", + "from torchvision import transforms\n", + "\n", + "from torch.utils.data import Dataset, DataLoader\n", + "\n", + "from tqdm.autonotebook import tqdm\n", + "\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.pyplot import imshow\n", + "\n", + "import pandas as pd\n", + "\n", + "from sklearn.metrics import accuracy_score\n", + "\n", + "import time\n", + "\n", + "from idlmam import train_network, Flatten, weight_reset, set_seed\n", + "from idlmam import LanguageNameDataset, pad_and_pack, EmbeddingPackable, LastTimeStep, LambdaLayer" + ], + "execution_count": 4, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:16:05.060281Z", + "start_time": "2020-12-28T17:16:05.056966Z" + }, + "tags": [ + "remove_cell" + ], + "id": "HXFl4k0QDliM" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "%matplotlib inline\n", + "from IPython.display import set_matplotlib_formats\n", + "set_matplotlib_formats('png', 'pdf')" + ], + "execution_count": 5, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:16:05.067384Z", + "start_time": "2020-12-28T17:16:05.061387Z" + }, + "tags": [ + "remove_cell" + ], + "id": "i4FaNvUgDliM" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "torch.backends.cudnn.deterministic=True\n", + "set_seed(42)" + ], + "execution_count": 6, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:16:05.081051Z", + "start_time": "2020-12-28T17:16:05.068670Z" + }, + "tags": [ + "remove_cell" + ], + "id": "mCKO8SWVDliN" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\")" + ], + "execution_count": 7, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:16:05.128191Z", + "start_time": "2020-12-28T17:16:05.090013Z" + }, + "id": "hAkoLWIiDliN", + "outputId": "6e432992-b00a-480d-cbc9-45428d13be6e", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 369, + "referenced_widgets": [ + "5f7c6299224345a7bc6123df3372152b", + "3571048cb2094d96bc8017ffab0b12a8", + "3ea3d82e8b174d0daf45002cca780c43", + "f2b9cbecfd7844238178b2f8b1ec541b", + "216e21814c274f59a8d03543210959d9", + "66186b2c98054e6192e9444335e5be11", + "48e492983c4545c7abca85179fd52523", + "e487d7b18c394eb38876557f77d83eab", + "42a3a310ff2843b4a7fbdd710b0adfeb", + "f869f3b3d9c54358833330e35fc39621", + "51e0d4f5445f48a399c246b72d53685e", + "d330398a46e34d31853c054ac7990e5e", + "a29c891a7d01462ebee882b1dfb3e7be", + "49ad4601ca504713ab299b32bd913106", + "681ed9cd74614504b30636e3fc5131b2", + "3fd4e2cb90344886813cf8d52abbb47b", + "389228e18d8947448423ca00db0c35de", + "618e3bd51a9f4f99bb50f890d87d10bf", + "18bb6f7ee7fd47a09af0836aba07b641", + "e705587198ca40f897baa5e1dad40514", + "050ccc56b9d8420da47a1edcd3b7be47", + "2bfb35f4786549ccaa345b1d523d4de2", + "86152c948a5740169efdcea71a5a94c5", + "3fe1c326b5b44c88a465b94b90dd28ac", + "602799d65bae4bc38d0833c89f60d519", + "54fdb2bc42804484ae49d9472ab60383", + "6f3d901af8074e79abf5f620091cd50e", + "0de5137ed13049229637948696ba5721", + "e9d9574659974883affaf9f37e23532a", + "f9bb2aeb13bb45dba54a428573bb19a2", + "42a8f6c7bfb546ceae07f48c24623902", + "54e92d50ed4f46dfb6e0940cc9b050df" + ] + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" + "source": [ + "train_data = torchvision.datasets.FashionMNIST(\"./\", train=True, transform=transforms.ToTensor(), download=True)\n", + "test_data = torchvision.datasets.FashionMNIST(\"./\", train=True, transform=transforms.ToTensor(), download=True)\n", + "\n", + "train_loader = DataLoader(train_data, batch_size=128, shuffle=True)\n", + "test_loader = DataLoader(test_data, batch_size=128)" + ], + "execution_count": 8, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz to ./FashionMNIST/raw/train-images-idx3-ubyte.gz\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5f7c6299224345a7bc6123df3372152b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "Extracting ./FashionMNIST/raw/train-images-idx3-ubyte.gz to ./FashionMNIST/raw\n", + "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz to ./FashionMNIST/raw/train-labels-idx1-ubyte.gz\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "42a3a310ff2843b4a7fbdd710b0adfeb", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "Extracting ./FashionMNIST/raw/train-labels-idx1-ubyte.gz to ./FashionMNIST/raw\n", + "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz to ./FashionMNIST/raw/t10k-images-idx3-ubyte.gz\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "389228e18d8947448423ca00db0c35de", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "Extracting ./FashionMNIST/raw/t10k-images-idx3-ubyte.gz to ./FashionMNIST/raw\n", + "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz to ./FashionMNIST/raw/t10k-labels-idx1-ubyte.gz\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "602799d65bae4bc38d0833c89f60d519", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "Extracting ./FashionMNIST/raw/t10k-labels-idx1-ubyte.gz to ./FashionMNIST/raw\n", + "Processing...\n", + "Done!\n" + ], + "name": "stdout" + }, + { + "output_type": "stream", + "text": [ + "/usr/local/lib/python3.6/dist-packages/torchvision/datasets/mnist.py:480: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:141.)\n", + " return torch.from_numpy(parsed.astype(m[2], copy=False)).view(*s)\n" + ], + "name": "stderr" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:16:05.132624Z", + "start_time": "2020-12-28T17:16:05.130257Z" + }, + "id": "-vtx-XfTDliN" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "#Whats the width and height of our images?\n", + "W, H = 28, 28 #\n", + "#How many values are in the input? We use this to help determine the size of subsequent layers\n", + "D = 28*28 #28 * 28 images \n", + "#Hidden layer size\n", + "n = 256 \n", + "#How many channels are in the input?\n", + "C = 1\n", + "#how many filters per convolutional layer\n", + "n_filters = 32\n", + "#How many classes are there?\n", + "classes = 10#" + ], + "execution_count": 9, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:16:05.141990Z", + "start_time": "2020-12-28T17:16:05.134029Z" + }, + "id": "Rev2RacvDliN", + "outputId": "17b9ae92-699b-4b8f-d230-d6785815df33", + "colab": { + "base_uri": "https://localhost:8080/" + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" + "source": [ + "fc_model = nn.Sequential(\n", + " nn.Flatten(),\n", + " nn.Linear(D, n), nn.Tanh(), #First hidden layer \n", + " *[nn.Sequential(nn.Linear(n, n),nn.Tanh()) for _ in range(5)], #Now that each remaining layer has the same input/output sizes, we can make them with a list unpacking\n", + " nn.Linear(n, classes),\n", + ")" + ], + "execution_count": 10, + "outputs": [ + { + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:16:05.152073Z", + "start_time": "2020-12-28T17:16:05.143146Z" + }, + "id": "y8zAjngUDliN" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "cnn_model = nn.Sequential(\n", + " nn.Conv2d(C, n_filters, 3, padding=1), nn.Tanh(),\n", + " nn.Conv2d(n_filters, n_filters, 3, padding=1), nn.Tanh(),\n", + " nn.Conv2d(n_filters, n_filters, 3, padding=1), nn.Tanh(),\n", + " nn.MaxPool2d((2,2)),\n", + " nn.Conv2d( n_filters, 2*n_filters, 3, padding=1), nn.Tanh(),\n", + " nn.Conv2d(2*n_filters, 2*n_filters, 3, padding=1), nn.Tanh(),\n", + " nn.Conv2d(2*n_filters, 2*n_filters, 3, padding=1), nn.Tanh(),\n", + " nn.MaxPool2d((2,2)),\n", + " nn.Conv2d(2*n_filters, 4*n_filters, 3, padding=1), nn.Tanh(),\n", + " nn.Conv2d(4*n_filters, 4*n_filters, 3, padding=1), nn.Tanh(),\n", + " nn.Flatten(),\n", + " nn.Linear(D*n_filters//4, classes),\n", + ")" + ], + "execution_count": 11, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:20:50.551389Z", + "start_time": "2020-12-28T17:16:05.153197Z" + }, + "tags": [ + "remove_output" + ], + "id": "o7CZJY7iDliO", + "outputId": "d1976676-c764-4e53-e85f-ce668d5b4378", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 132, + "referenced_widgets": [ + "f32b3410e35649cfaca5b0fbf684dbb4", + "6cbe5aab2a194cdb818488080e4ea6db", + "674569a6f3f841f3afe0e648aad5478b", + "35d5336f5d364dc8970542938618838d", + "bd311e2e34cc4a2d8a73a8210a5d5c81", + "ed63880ea36d4ce285a4c89e3ca6e6b1", + "e676916c403941dc8b5e376352a3e087", + "aef96f1096ff4f18b784716e4f7f63f0", + "73a34fa4845b49aeb612699a41238ea6", + "d4729e6a652c45938d1c5886423438c1", + "75cc453ea45445e28088d41c5d0f6834", + "c5035090ddba4dd5b1936010e63f47ba", + "bf0d496b87b5443ea952ec42b7c14c61", + "d721e87fc3bc413891b5fee0a73c8dd6", + "1e2c1077536b49d89905904c5556154e", + "1450b40f82a84496a9fda212a42a9560", + "e6e373c251f8415397a754af5f8afc50", + "6fa32dabff56412eb8e951c596511c80", + "757afde32ddd4e929d6ede247078b52a", + "3045da22f2774c77b92df04a3c976fbd", + "5baef318a106456eb6bde6e716ca5ab2", + "5a490446b1fd49c882a5b8c8fbe4c862", + "ac1b18553a874610a70a71fe376588d7", + "aa0db2e8cc8f4e1090bc994bef291563", + "d5b3ce597f034907b15c0f5181a510f8", + "7e31f057feee4e01b847df47aa987567", + "c8114e4265b94ae98330fcde645915f9", + "59f94b5c15674803a5c78db13928281c", + "054b9f4791da4474922a61392377936a", + "aea48b4bafa24bd4b379b8371f7cca4c", + "230752aed8b240d7b52354900c22863f", + "574d0aa06fd74fc59f31492fc15d6d1e", + "f1367156c70a4d3fa69642ccce0d16df", + "a43c61de35ed4551b8e6ca42757bfdcc", + "929d808886124fc08599fe364a7c7756", + "f7fed5a32fe34677a0ce9181faecae8f", + "bfc6801d73664ef7ae5dc6ee5eddf4f5", + "5ce3ca68602e446db29ce0b02bca1ff0", + "9b58c742148445c9908be71dea8cb282", + "aefb8839406d4627b8bc1527dbdd34ee", + "bcf3e1925b7f4483918f1a02c394532a", + "9f3689e53a4e4cc08e3a330307444bc2", + "8c8440679f23490f8be7c5bac234f663", + "3dc96356a99348a993bab38c1b8cb80f", + "bd0b1c19adf74555b8c84f4dfe8a93a5", + "1fa8060da1564dd09292a7a7e6e946a6", + "475224edd2744cb397daee7feeb8b9ce", + "85513d2bef4146ffb14702c2860c75e7", + "d245fdfb64ed4564ae32a61b043dd049", + "4b989e49e0684389974166c04a68eebb", + "7c2fb7637fc84f8aa2298f758948ab14", + "9f1c6cb6790e4d7a9418320c7227bf54", + "0c0910d2d2cd4617a10ce1c45d98665b", + "4b17ed107ac5452aa952a2c7728e9c88", + "b764ff73e9024a68a8af6bc68a661472", + "2e6c55a755f04a94a4cc4f1d81a859e8", + "0f494331b18b4d349f3512e928cc748c", + "1278ee5b7b9a4b8daebbe1314a125957", + "a6840b56b7694ee997248d38b9457a74", + "1b5ecb0c68da49f3b4a448f5d8782320", + "8a142ee5c158471b9cded6eb6c85d425", + "f195422f28a342879f5b58a795589c1c", + "675bc6a990534cc9a83175107bde47cb", + "2447ad5a1d274c56a847886d677cc340", + "9fdbc63f30e1447887b7d8b7d165dc81", + "65dda46fad8d443d9f69283f5a72f873", + "00beb7682e65481186b8098733f9df72", + "cc9ca32f98bd4ce58cfdc20257b825b9", + "f656433ce30f44ec85ab697bd3a2a1ef", + "07c313e9bce64767bd8c7ecfd9c88699", + "e1ad70f45196454991027c7969e9f2bb", + "e96abe3ef25146a3a23fbbc30182502b", + "961df31269d84ac2a37d42f94efc5da2", + "7e329e1204dc4ee19c98a8f488e32868", + "14dc1670257f4c6ba5914b24b26a4d8b", + "9586b3109b2e49bea6ef5f485560bf21", + "df3799efb26243e79d12bf333b324eec", + "4644bd288b8240b483387d0c2a73ce03", + "6cf27c51a2da4f17bf368a7ce907d23a", + "65cdedebb9d44b64bb1c71052e9ebb12", + "b0009e4e01c2419cbceb16108672e088", + "180c61da089d4ec3b3de0470630cb1f6", + "a6202be1d79148e786e164bc370f0d86", + "7b510d31c7db4f06b1a2e654e2caec27", + "86bad2632e4a4db08ada26816389d7b5", + "06c0ecd6c6ab4dd89330c3f27abdff30", + "9bf68b9ba64a46b1a2de336bcbd8b85b", + "dbe07f9768b4483597f0c1ac46b0fb94", + "3167ce89417c403eba90a68018e9d51f", + "361682feb8a04bc6b0674d5e43129de3", + "b366790f3aa543e493b5e422f33cb3ff", + "4f569da0cd6b4651872f46833a7362cd", + "06be1d9ce1b84497a7afb5b441aa054a", + "f3039ea05ce94e689e96ca749a3c4a9d", + "dc2469093ede476ea89613eec2b0f429", + "6501468e25bc4e17a3761d95a49bdb81", + "47906d5961174a4b942e606139fee296", + "8f8737eca7a44ae1ad36a6d51a626f70", + "b0e1aa0cb6a74188a383adf60f302511", + "30368199c08e49419e4603ce78ff5fad", + "a8ace42155134e10952bd06b309d1a7a", + "ce76a775384349ec82fa74a5b1bea664", + "6e6f901c5b79461791538cf966fe2a88", + "a1ce4edb09cb4c1ca6a0e83f797b97af", + "783cb5c63a0c4aeba690939077fb82e0", + "fcd30bbc27324015978b34dd5f12b8a5", + "db6b619a007b4bad9e5fb7427ac75bd6", + "94ee0b0d6f824f629771ff206c24460d", + "2537b4c60f8749328a68d9237b71c757", + "4e53d930ba144ba7be689e5d441731b9", + "44bb1589aed54a7395c114d3abc398a9", + "e84a4afc0c024a2e97d3fcc4d923f73d", + "8bf978e5d82c4ee6b31287f846f71152", + "58de17d76e8041108216a57888682f63", + "6e6a557756ac4a57ada030e6afbd4254", + "a7d552ae3a9d4495a4ca7955127f7274", + "016fa9790ab4488e90f95e52fe5494d5", + "27554c1871dd49e180c08cf17b8eadde", + "b20d6db419444d4cb4ba9cfd9b574ebc", + "4a03b31821da4422add8a3596bb072cb", + "20e3cc6ad5d24915a1d2e60cdeeaee49", + "5883c2a6b97647d7aef25221f369897d", + "586080f59ed2407fa841fbc3203c77c4", + "f7fb1703988c4692b89020f6f956e959", + "b470c0952ee24ebaa5d4a2f26526d4fa", + "6574b9d4766c48a18705621bc6b6bf24", + "5db6a3b0b26944d3ac57c53b1512d20c", + "fd70437000b64d85b1c10b95418f9f82", + "fc98ebe5f4fe4b5f998ef42a6741b4f3", + "8ea039549eab44128d885d501fb29d84", + "1d6c90ab2f2749e6ada975de97d296dc", + "e562f3d8459048c68f49e28e2675fc85", + "d7a0ae546bc24f3f9c7eb245f87fcba9", + "c0399ebc5a4849dfa74703f43754b332", + "14990994b5be45a4adc33f37f127d2de", + "f39deedab850465fba6677a236a5a167", + "b1ad086218924d57a657bc62ab562377", + "e47193480f534e4e8f04cd4c2ad99f83", + "2759c2e5914c462d93e8f89c86e96cd8", + "1795c5822d3c4f51a1cab7839a0c8962", + "5ce6045e8d714053a55fde7f7675decf", + "3cf8355c53a644549e0a84741a24a639", + "e4ea0179451f4edfa880896bee98aae3", + "8f0512e2a26344c193372957aef3fac7", + "e57c70f6899b4a62ae8a3b1e455a0088", + "4d1b576e30f74872bff2e466d6794d2b", + "9bd7e212c0be4ffaa8c12bc2af9e9de2", + "8dc867da811f451591b23509dac979ee", + "0ef5984027224895b0c138c014385350", + "3c12780e0dd64d94b186b8e5960581b5", + "4b55a213c30943b28b57d65a4f83a057", + "f81e476306074f569378c24d3be0a3a1", + "ac4ab3f9d991423e8448aa5828478da9", + "706cbc6107314c718e990baca4f7e3ac", + "7206c35c454b414a931e6ac5577a3141", + "6b23690cb3674806a7ed5f8cd350534b", + "84cc627692de459786cf4ff8ee343ba5", + "a34bc71fc2664d7ebb1be520d7aa49cc", + "eb3bd570198e466fbbca1a8bac140518", + "b7e2e94b895a49acbb29958c83bfd0c2", + "e6558124de904f6e9d221ecdf10c6471", + "7443e45cf86f4f949c6f1aa7c7b78245", + "14dc3de7a5fd40c4be8744624c719525", + "e3d94058f3a44951b64127051393f5fd", + "4fdbb76a5b56472f862909f5b5fd4198", + "4e12aada00a6404ebd61fe0e6a98918e", + "178df2e293ad44408ce580f13c7dbfe9", + "b8d73fa0df5e46018e326129c6b9736c", + "14bc0c7628294395a134c072c4c8784e", + "3759970f3c15460ab0bcd16e829dc676", + "7cec8e89db2545109485c1f9622e192c", + "21dcf213802e4e449067ed3a541e190c", + "ae54b126edf247adaa947100b52f51e4", + "f13bf539925b4aed805f12b67e452e17", + "018d339d8576426eab7573ead98df568", + "caf8aa8107d24e998903a1e424ed443f", + "6ef13cf0a625447aaa557f63e458eff4", + "e47a84bf997e4d50ae753361a331dd41", + "aa0e60f5cf7e4c318a5021b036acc34d", + "b518523540db4bd88046c6142d1d2f0e", + "7d29da9444b54c06a136c033b1c31d72", + "aaf4bf938e4646e7928b6d45f3ab6061", + "72e44742ca424d8193ce3392be0487b4", + "adc69bc15f2947fcad6b79b0826d8ad0", + "0287f4bb80e4499086335ed9cccc8062", + "2c906e091cd64503b75966579c121456", + "0adcd4815eb44c4c8c4c492f13982abe", + "d38a5283c7284197a286e2c1532c8c35", + "90b82ff6fe8d456c90a2ec038430e6a9", + "a4dcd851a3af42c29d98cde6a50deed0", + "bfb691bd373e4505975a2624b27dd92b", + "a172f39248b046c0aa82da2e09e23cd5", + "ec302a2c176046ee99cecbc629ca3661", + "79f6e9512dc44e0cb030382507ea81ce", + "35c414ccd76e4219a1f7824492bd3f7d", + "3789ec246d6c48f8adeb4e4d78f5d896", + "f0a20ccc2323423a9decfa351320d486", + "d13ef374036f487ea48dbbaa02c89088", + "7e4c9d3bd8594543b4cba711a056caca", + "0a2fdf55cb29480d9431d3dc9e663c18", + "06be2b28bf6b4801a754e8e972930617", + "643e72f2b92a4166a00dbffca5e4d527", + "24e6d91152f04d6f88dddff120be188f", + "c0671df6a7c94bc69c584eb4c607072e", + "b6abe28937b44eb6817d5e4b7780639a", + "08f326839f8a4aa9b48c610779b9d6db", + "a47c860828c943a6913f8e60724db9f7", + "61d501e2d6d2416aae900d704f86bedf", + "99ce412cdc034381837b31fb6639a17a", + "aaf9223609134299b667aafaaa6d1eda", + "eca32dfa0807411a9cba71512f4c7b0e", + "9578bf559dbb4ecbb8e2ca3bcde58a93", + "4bc2981a8c4242088493a776b5229d46", + "dc8fed11cc96457391457577d94d4908", + "78e4355c695844009b41a6fc71e9dc1c", + "a3d2721aeef140baa3fb015ec232f2c2", + "b0a4dccace2541fb93b6fa6bae1831d1", + "733f3682271a4cb48fe33b978e4abb88", + "ee645e47ef74405eb616f600c9a336a5", + "302c52ebe93b47fea68e6d92dcaade8c", + "a162e355dfc44502b789382e66beb271", + "a04d7abe5a1e468a8ac9c2886226a1b1", + "106d79a5ccd643dfabd57ca3afa1283e", + "74e1cc3cfe3a4e49ba770af9323324cd", + "81a316e829a94d3e9e89063dfb2e709e", + "caa0b95efe6847959592baa9b659aed4", + "ca4cb2b8feb041f49e24a51af99daba8", + "12fe4a8b51cf4f2b921328a23f1bb6a5", + "64925efc502649fcbc77c6e07d757c7e", + "2967ed92ab35481cbc9f30e1e0097c8f", + "5f4a7c5bc70542c78dde1e5d45f6759b", + "d38ec3d71728469890b96ecab4cf28c7", + "d83605832c8c467aa47b228d724122e7", + "869ba7efb10046eb9cb92003f5ebc3cb", + "e85ce81024d0432d865977e53ec68e6a", + "133c079cec1a410fb56afb2a091fde9b", + "2d2d2f4ab62143139c77817e09b6fcfc", + "142bf8c80a4b4f5d96cf3cf3f0da8d3b", + "a02cdddf95b945dd84707238924b8e18", + "b7f2eb5513d54c59bb44c9785394661d", + "518a11fda6254a17b2c84da31fcb5cb1", + "7da9392e0972404ea14e150159de8555", + "4f844c6733444dbe84ade019d69d1898", + "d1d0c6e30f7c411d99562fd8d0affebc", + "8692fc131ed84d3d9204d5b46c14b99d", + "fbca1f449bbe43c9809146438dfc28ee", + "5841fbc6db0c46c1b4d8ca136f822b9c", + "e6167f899ef44e25aca84cc974441d29", + "ee0cd3aa48cd47cd905b60305735fb9a", + "cc04b8ca09574e8d9d351fce49e3b99b", + "181cdcbac1aa4933bd1d402b3731620b", + "03202b241781429fbc87674d97ece85b", + "2cf9851fcd784977a9b8ab0540ce5c5b", + "c25b79344d1247ef95cad0182925d8bf", + "5977f3dc7aa14d39adbed908ef121486", + "a3ee710467904dffa0cf7e70e2daea12", + "8bbd17647296470c8e246b2636974ed9", + "d5eda40ae9554305990e79d80b14a2d9", + "f375c6bd537144e0917e8ae4ad1016a1", + "e6863a3f277d426eb8bee2534c647a95", + "a00841f2de4441538a47eba8faf52adb", + "ef421371d22e4a7fa14580101f8eba30", + "d31c93cfd62a49c4a481ee4e5dafd023", + "6a035b2626e34409a3ab7962c5399914", + "589624bb78a2418582e2e301778a7c11", + "2744791db4054c8f94ee010bcb6310f6", + "1aad5be02f6442d297f1420bf6c53372", + "0133b6f39b884bb7bc040423ae8f5d7b", + "613d1abfcb9144de914d450e87088ade", + "efc4723c3d0c483e95130d4007691ec2", + "9b50529485854d3d8cfbe1adbeb22374", + "e39fe9f1c3464b72bc5bc623eb210711", + "5d06d4e1acbe4a37a529c7913923c9d4", + "8f1e13d7bae447dfa56c2ab6ed2feb5b", + "175ab6fa24b14113a43c1e95f664feda", + "516396abe33342d088b4aa862af188d4", + "75c30685d49d487497adcc21b431a404", + "cc46b5ca21474c1ba68782ee4fa365ca", + "58c5dfefcf9d4113a34b48084d1d1966", + "17a0bd80d617469db7fde545abe786c3", + "ddce83ea88c0488183c69d3b14ac381f", + "584a9f0130804766b51aa468b344fdd2", + "045910fc6a7242cc996d893a714470f1", + "863eb306f67143e79f9eaae61a684e05", + "a86cb1f9a98747be87a12e77bc241edf", + "a73721844fab4c12a29b17583714638c", + "9532ce4a73784656bae3d701d48be763", + "91dc02521840439099f3d06d47b78405", + "b0f6b5e54c604feaadaf0fba732b1232", + "0c9add8be30445a7a36a4913dfe596c7", + "79df54f071f54686aa0b53c1d18913fa", + "06b907f254794626b92f17a553b35f12", + "919de264873a4eb8b0ef13d2c0c3bd8d", + "f09c3dbb9867428daa61721b75daed29", + "24dc35f9d2684f3c9e0a5dc3e0f56ec7", + "336e38f6008c4b4a864e565fea60ab19", + "5fd1ac925350460e8161562cfd833b7e", + "cc884b2fbdf2402da8593ccbaa1d62b9", + "78c29da5065945e2b7ad107836841828", + "df06f45573ed4f5ab97695ac6709e852", + "0ddccf16b11d4a2f918a644b6a76e76e", + "0a5f62b5442b40e9ae02ccb6260acdb0", + "c9778164228447f8844c0c0ea07c10ec", + "e5bf07ec8cd0454786b7d9358bd01beb", + "3247a855148c4f2cb5883a2b6b1c705e", + "98e26fbd7ada4c7b8ef1126e9b99b075", + "54fc5daccaf4430188795762d2df08e1", + "3edfe177be7949afa0e9053aecd2ae08", + "7f2fd908251f4becb7b5dd694fb75cf0", + "3032fdc7002d415c92a4dfe53218b425", + "181c8bfd22e3437487c2e339318986d6", + "691b85d597d34cccb2d853f6fce079a8", + "a51ea61151234aca8111369a42ac9897", + "0359769efc7546849d3de64143f63c80", + "4082c64a32b446a0bffbe33d3eb39749", + "866bc97a0e514e23aac2720dced10fdb", + "edd51ed1972a4803976e61366ab22fd2", + "804cc9a0d62d4ad5bf705e982dc50883", + "c3feee95fc4f48a0bfba8cfa6be086dd", + "0ea8f39495f541b294ee4247f7544d9a", + "c97999a53488479fbbbc83b50883660f", + "8572395519ff41368dc9d694a73e613d", + "573babb0e88b4d20b1f1e6572749c12e", + "a05883c0d5414b45915b7f498ddb3c4a", + "f21757fc7e6f4aeca52b6b311f4069c6", + "3a917c438251493bbfd18a75901ea22f", + "055c5fee2d994f319446a5346b3f3695", + "03fd41caff7b420883ef9fcb946c58e5", + "55e24622a9964d3d8f7ac4a03f2f1d32", + "f32c3c81ab024b0883c760ef6cac780e", + "b5dc7ea11cf3400587f7499f9ede58cc", + "4ecda2f15e024799bcde58d957a8724f", + "40a7dca569e24d098ef4e4bc9aa8d354", + "1ba13db055d64d50b8527b0a2ef090db", + "cca30af424c149d1997606c15cb4a183", + "1a3e5433c73243279656c686fa9a26db" + ] + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" + "source": [ + "loss_func = nn.CrossEntropyLoss()\n", + "fc_results = train_network(fc_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", + "cnn_results = train_network(cnn_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)" + ], + "execution_count": 12, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f32b3410e35649cfaca5b0fbf684dbb4", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "73a34fa4845b49aeb612699a41238ea6", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e6e373c251f8415397a754af5f8afc50", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d5b3ce597f034907b15c0f5181a510f8", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f1367156c70a4d3fa69642ccce0d16df", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bcf3e1925b7f4483918f1a02c394532a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d245fdfb64ed4564ae32a61b043dd049", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0f494331b18b4d349f3512e928cc748c", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9fdbc63f30e1447887b7d8b7d165dc81", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "961df31269d84ac2a37d42f94efc5da2", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b0009e4e01c2419cbceb16108672e088", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3167ce89417c403eba90a68018e9d51f", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "47906d5961174a4b942e606139fee296", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "783cb5c63a0c4aeba690939077fb82e0", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8bf978e5d82c4ee6b31287f846f71152", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "20e3cc6ad5d24915a1d2e60cdeeaee49", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "fc98ebe5f4fe4b5f998ef42a6741b4f3", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b1ad086218924d57a657bc62ab562377", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e57c70f6899b4a62ae8a3b1e455a0088", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ac4ab3f9d991423e8448aa5828478da9", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e6558124de904f6e9d221ecdf10c6471", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\r\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "14bc0c7628294395a134c072c4c8784e", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6ef13cf0a625447aaa557f63e458eff4", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0287f4bb80e4499086335ed9cccc8062", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ec302a2c176046ee99cecbc629ca3661", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "06be2b28bf6b4801a754e8e972930617", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "99ce412cdc034381837b31fb6639a17a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b0a4dccace2541fb93b6fa6bae1831d1", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "81a316e829a94d3e9e89063dfb2e709e", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d83605832c8c467aa47b228d724122e7", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "518a11fda6254a17b2c84da31fcb5cb1", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ee0cd3aa48cd47cd905b60305735fb9a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8bbd17647296470c8e246b2636974ed9", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "589624bb78a2418582e2e301778a7c11", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5d06d4e1acbe4a37a529c7913923c9d4", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ddce83ea88c0488183c69d3b14ac381f", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b0f6b5e54c604feaadaf0fba732b1232", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5fd1ac925350460e8161562cfd833b7e", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3247a855148c4f2cb5883a2b6b1c705e", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a51ea61151234aca8111369a42ac9897", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c97999a53488479fbbbc83b50883660f", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "55e24622a9964d3d8f7ac4a03f2f1d32", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:20:50.555578Z", + "start_time": "2020-12-28T17:20:50.552542Z" + }, + "id": "QxwxDQ2aDliP" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "cnn_res_results = train_network(cnn_res_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:50:08.271371Z", - "start_time": "2020-12-28T17:50:07.995621Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEGCAYAAAB/+QKOAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAABVG0lEQVR4nO3dd1zV9f7A8deHDbJBHEw37oUrzaw0tVJz3czMblrmTSu1oWXD7q2bZtnSX6llZpaaKy3NnGVW1wTFiThwAIIge5/1+f3xPSIqIiiHc4DP8/HgAed81/sgft/fzxZSShRFURTlWnbWDkBRFEWxTSpBKIqiKKVSCUJRFEUplUoQiqIoSqlUglAURVFK5WDtACqTv7+/DAsLs3YYiqIo1UZUVNQlKWXd0rbVqAQRFhZGZGSktcNQFEWpNoQQ5260TVUxKYqiKKVSCUJRFEUplUoQiqIoSqlUglAURVFKpRKEoiiKUiqVIBRFUZRSqQShKIqilKpGjYNQFEWxJKnToU9KQhefgD4hHmNmFo4NG+AYFIxTSDD2fn4IIawdZqVRCUJRFMVMSokxPR19fLyWBBIT0MXHo49PQJcQjyH5IphMNzxeuLnhFBSEY3AwTsHBOAYHmb8H4xgYiJ2TUxV+mtunEoSiKLWKqbAQfUICuoQE9OaSgFYi0N6T+flX7W9f1x+noGDcIiJwCtJu9k5BgTgGB2Pv5YU+KUlLKOfjtXOdj0d//hx5f/yBLCy8ciIhcGhQXztHSLD5XEE4hYTgGBSEvbe3zZU+VIJQFKVGkSYThtTUK6WA+Hh0CfHoExLRx8djSE29an/h6lr81O/WvduVG/flp35X1zKv59y4Mc6NG18fh5RaHAkJ6M6f10oh8dr33F9/w3jp0lX723l4mK8bglNwUHG1lWNwMI4NGiAcqv52rRKEoijVjjE3z/zkH28uBWhVQPr4BPSJiUid7srOl5/cA4Ooc+edV26+wUHak/sttBuYpImd53dyKPUQDzV7iMZe1ycIIQSOAQE4BgTg1qnT9efIzy9uy9DFx6M/ryWyothYcnbuBL3+ys729jg2bFhcXeUUHITj5UQSEoK9u3uF4i8vUZPWpI6IiJBqsj5FqXn0KSkUREWRvy+S/MhIik6cuGq7nbv71dU2QVeSgEPDhpVW92+SJrad28bCQws5mXFSu7aw48HGDzKx3USCPYMr5TrSaMRw8eKVBHI+3lwi0r4bMzOv2t8xMJCmO7bf0rWEEFFSyojStqkShKIoNkefmEh+ZCR5+/ZRsC8S3TltwlHh5oZbhw549L8P5yZNtCQQFIidl5dF6++NJiO/nP2FRYcWcTrrNI28GjH7ztl0a9CNpUeWsjJ2JZvjNjOk6RCebvc0Ddwb3Nb1hLnE4NiwIXTren08OTlXtXuYCotu63o3jMOSJQghxADgY8Ae+EJKOfua7T7AEqAJUAiMk1IeMW+bCjwJSOAw8ISUspAyqBKEolQ/Ukp0Z86SH7mP/EithGC4kASAnacnbp074xYRgVuXCFxatkQ4OlZZbAaTgZ/P/MyiQ4s4m32Wpt5Nebrd0/QL7Ye9nX3xfin5KXxx+AtWn1iNQDCy+UiebPskdd1KXWbBppRVgrBYghBC2AMngH5AArAPeERKeazEPnOBXCnlW0KIcGCBlPJeIUQgsAdoJaUsEEJ8D2yWUi4t65oqQSiK7ZMmE0UnTxZXF+VHRhY32Nr7+WnJICICt65dcG7WDGFX9eN59SY9m+I2sfjQYs7nnKe5T3Mmtp/IvSH3YiduHE9SbhILDy3kh1M/4GjnyKjwUTzR5gl8XXyrMPqKsVYVU1fglJQyzhzESmAIcKzEPq2AdwGklMeFEGFCiHolYnMVQugBN+CCBWNVFMVCpMFAYUyMlhD27SN//35MWVkAODRoQJ07epiTQhecGoVZtaun3qjnx7gfWXxoMQm5CbT0bclHd3/E3cF3l5kYLmvg3oBZd8xiXJtxfH7wc5YdW8b3sd/zaMtHebz143g5e1XBp6g8lkwQgUB8idcJQLdr9jkIDAP2CCG6AqFAkJQySgjxPnAeKAC2Sim3WjBWRVEqiamoiMLDh7XSwb5ICg4cwGQeW+AUGopHv75XEkJQoJWj1eiMOn449QNfHv6SC3kXaO3XmhldZ9A7qPctJawQzxD+e+d/ebLtk/zfwf9j8eHFrDy+krGtxzKm5RjcnSzT66iyWbKKaSTQX0r5pPn1Y0BXKeWzJfbxRGuj6IjWzhCO1u5wHlgLPAxkAquBNVLK5aVcZwIwASAkJKTzuXM3XD1PURQLMOXnUxAdfSUhHDxY3M3UuXnz4vYD186dcQwIsHK0VysyFrH+5Hq+PPIlyXnJtPNvx8T2E+kV2KtSSzKx6bEsiF7ArvhdeDt7M67NOEaFj8LVoewxFlXBWm0QPYBZUsr+5tevAEgp373B/gI4A7QD+gMDpJTjzdvGAt2llM+UdU3VBqEolmfMziY/Kqq4/aDw6DEwGMDODpdWra4khE6dcPDxsXa4pSo0FLL25FqWHF5CSkEKHQM6MrH9RHo06GHRKq7DqYdZEL2APy78gZ+LH0+1e4oRzUfgbO9ssWvejLUShANaI/W9QCJaI/VoKeXREvt4A/lSSp0Q4ingTinlWCFEN7TeTV3QqpiWApFSyk/LuqZKEIpiOYUnTpD85iwKoqNBSnB0xLVtW3NC6IJrxw4WG7BVWQoMBXwf+z1fHfmKtMI0IupFMLH9RLrW71qlbR/7L+7n0wOfEnkxknpu9Xi6/dM81PQhHO2qrofWZVZJEOYL3w98hNbNdYmU8h0hxEQAKeXn5lLGMsCI1ng9XkqZYT72LbQqJgNwAHhSSllmZ1+VIBSl8kkpyVyzhotvv4Oduzs+jzyiJYT27bBzcbF2eOWSr89nVewqlh5dSnphOt3qd+Pp9k/TpX4Xq8UkpWRv8l7mH5jPwdSDBLoH8q/2/+KBxg/gYFd1Q9SsliCqmkoQilK5jLm5JL85i+xNm3Dr0Z3A997Doa7t9+2/LE+fx4rjK1h2dBkZRRnc0fAOnm73NJ3qXT/1hbVIKfk98XfmH5hPTHoMYZ5hPNPhGfqH9S9Xz6nbpRKEoigVVnD0KInTpqGPT6Duc8/i99RTCHv7mx9oA3J0OXwX8x3fxHxDVlEWvQJ7MbH9RNrXbW/t0G5ISsnO8zuZHz2fU5mnaObTjEkdJnFP8D0Wrf5SCUJRlHKTUpLx7XekzJmDva8vge/Pxa2L9apiKiKrKKs4MeTocugT1Ien2z9NG/821g6t3C5P6/HZwc84m32WVn6tmNxhcqX3rLpMJQhFUcrFmJVF0muvkbNtO+533UWD2e/abE+kkjILM/km5hu+i/mOXH0u94bcy9PtnqalX0trh3bLDCYDP8X9xOcHPycxN5EOdTvwbMdn6drg+rmZbodKEIqi3FRBdDSJ015An5JCwLRp+P7zcatMc1ER6YXpLDu6jBXHV5BvyKdfaD+ebvc0LXxbWDu0SqM36ll/aj0LDy0kJT+FrvW7MrnjZDoGdKyU86sEoSjKDUmTifSvlpLy4Yc41qtH4LwPcG1vu3X1AJcKLrHs6DJWxq6k0FDIgLABPNXuKZr5NLN2aBZTZCxidexqvjj8BWmFafQK7MXkjpNp7df6ts6rEoSiKKUyZGRwYcYM8n7bjUe/fjR4523sPT2tHVappJREp0az5sQatp7dis6kY2CjgUxoO4HG3tcv2FNT5evzWRm7kiVHlpBVlMU9wfcwqeMkmvs0v6XzqQShKMp18vftI/GFFzFmZBDwygx8HnnE5tZEBq194ce4H1l7Yi2ns07j5uDG/Y3v5/FWjxPmFWbt8KwmV5fL8pjlfH30a+yEHTtG7sDFoeLjUlSCUBSlmDQaSVu0iNRP5+MUHEzgh/NwadXK2mFdRUrJvuR9rDm5hu3ntqM36Wnn347hzYczIGwAbo5u1g7RZmQVZRGbHnvLjddqRTlFUQAwpKaS+PLL5P/1PzwffJD6s2Zh717H2mEVu1RwiQ2nNrDu5DrO55zHw8mDkc1HMrz58FuuQqnpvJy9Kr1n02UqQShKLZH7xx9ceHk6prw8GrzzNl7DhtlElZLRZOSvpL9Ye2Itv8b/ikEa6BTQiYntJ9IvtN8tVZsolUMlCEWp4aTBQOqn80lbtAinJo0JXfoVzs2s39snOS+ZH079wPqT67mQdwEfZx8ebfkow5oPo7FX7Wl0tmUqQShKDaZPSiLxxZcoiIrCa8Rw6s+ciZ2r9dYgMJgM/J7wO2tPruX3xN8xSRPdG3RnasRU7gm+Byd7J6vFplxPJQhFqaFydu4i6ZVXkHo9DefOxWvQg1aLJSEngXUn17Hh1AZSClLwd/VnfJvxDG02lGCPYKvFpZRNJQhFqWGkTkfKB/NI//prnFu2JOjDeTiFhVV5HHqjnl3xu1h7ci1/XfgLIQQ9G/bk1eav0juot1XWPlAqRiUIRalBdPHxJE57gcLDh/F59FECXn4JO+eqXa3sbNZZrbRwegPphenUr1Off7X/F0ObDaV+nfpVGkuNJiXkJMHFo5CfDu0frvRLqAShKDVE9pZfSHrtNRCCwE8+xvO++6rs2kXGIrad28baE2uJvBiJvbDnrqC7GNF8BHc0vAN7u+oxTbjNKsqBlBgtGVw8CinHtO+Fmdp2Z09o9w+o5F5pKkEoSilMeXlkb/mFzPXrMKSm4tK8Oc4twnEJb4FzixY4BgXZRBdRAFNRERdnzyZzxUpc2rUjcN4HOAUFVcm1T2acZO3Jtfx4+keyddkEuQfxfKfnGdJkCHXdqs/CQjbDaIC0U5ByFC4eMyeCI5B5/so+Th4Q0BJaD4V6rSGgFdRrVenJAVSCUJRiUkoKoqPJWreO7E2bMeXn4xQWhkvzFhSdOEHO9h1asR6wq1MH5xYtzAkjHJcWzXFu3hw7t6od4VsUd4bEadMoOn4c33HjCJjyPMLJsj2B8vX5/HL2F9aeXMvB1IM42DnQN6Qvw5sPp2v9rlWyClq1JyXkJF9JBBePaj+nngCjeWVlYQ/+zSAwAjqNhYDWWkLwDrFIMiiNShBKrWdISyNrw0Yy165Fd/o0wtUVz4ED8R4+DNdOnYpLCqb8fIpOnqTweCxFsccpjD1B1sYfMeWu0E4kBE4hITiHh+Pcojku4eG4tGiBQ8OGFiltZG3cSNKst7BzciLo88/w6NMH0BKd3qRHZ9ShM+nQGXXoTXr0Rj06k674+7XvX95fb9RfdXzJ7Tm6HHYn7CZXn0uYZxgvRrzIoCaD8HXxrfTPV2MU5WrVQ9eWCgoyruzj0UArCTTuA/XaaD/7NwdH6w4SVHMxKbWSNBjI3bOHrLVrydn1KxgMuLZvj9eI4XgOvL/c009IKdEnJlJ0/Lg5ccRSGBuL/vyVKgE7T09zFVULnMNb4BIejnOzZti53Pw/v0ma2Je8j01xm7iQewGdSYfML6D/+gQ6R2ZyOsyZJcO9SPUwFd/QDSbDrf5aSuVg54CTnRNO9tpXt/rdGN58OJ0COtlMNZtNMBogPe76UkHG2Sv7ONbRqoMCWpWoHmoNbtZLsGqyPkUx0507R+a69WStX48hJQV7X1+8hgzBe/gwnJs2rbTrGHPzKDpxgqITsRQeP07R8VgKT5xA5udrO9jZ4RQaqiWMFuHFicOhXj2EEJzPPs+G0xv48fSPJOUl4e7oTjOfZjRI1jP46xP4XMwnemBTjg5ujaOTi3YTt3cqvpE72jmW+t3JzglHe8erXl/e7mjvWLy95PsqCZRCXwAXDkBilLlUcBRSjpeoHrIDv6ZXEsDlZOAdCja2CJNKEEqtZiooIGfrVjLXrCV/3z6ws8P9zjvxGj4Mjz59LF5nf5k0mdDHx1MYG6sljNhYio4fR5+YWLyPwcOVxHoOHPHO5Xw9O7xbteeOXg9zV+N+FP7wExfffgc7Dw8C35tDnTvuqJK4az0ptUbihH0Q/zck/A3Jh+FySc293vWJoG4LcLTeiPWKUAlCqXWklBQeOULmmrVkb9qEKTcXx5AQvIcNw2voQzjWq2ftEAFtorq9J3fx554VXDocSWCynuZpzgSmGLAvMt+A7O1xrFcP/YUL1LmjBw3nzMGhruohZDH6QkiKvpIM4v+G3IvaNkc3COwMQV0guKvWgOxevf8t1HTfSq1hyMgg+8cfyVyzlqITJxAuLnj2vw+v4cNx69LFZqpL4rLi2HhqIz/G/UhKfgqebp4MHDWSPk2G0Ma/DZhM6M6fL27TKDp5Ep9HH8X3iX/a/DrR1U5WgpYELieEpENg0mvbfMKg0V1aMgjqojUg29ee26YqQSjVnjQayfvzLzLXriV3xw6kXo9L27Z4Dx+G5wMPYO/hYe0QAW1hl1/O/sKGUxs4dOkQ9sKenoE9GdJkCH2C+6iJ6qqCoQiSDpYoHeyDnAvaNgcXaNgJgrtAcDctIbgHWDfeKqBKEEqNpEtIIGvdejLXr8eQlIS9tzfej4zCe/gIXFrYxuIyBpOBPy/8yYZTG/g1/ld0Jh1NvZvyYsSLPND4Afxd/a0dYs2WfcGcDMztB0nRYNRp27xCIPSOK6WD+m3BXs0PVZJFE4QQYgDwMWAPfCGlnH3Ndh9gCdAEKATGSSmPmLd5A18AbQBp3vaXJeNVbJ+pqIicbdvJXLuG/L/+B0JQp2dP6k1/Gfd77sGuihqcb+Zkxkk2nt7IT3E/cangEt7O3oxsMZLBTQbT0relzVR11SgGndZ4nPA3xO/VSgfZCdo2e2do2BG6PQ1BXbWk4KHmhboZiyUIIYQ9sADoByQA+4QQG6WUx0rs9ioQLaUcKoQIN+9/r3nbx8AWKeUIIYQToBahrcUKjx0jc81asn76CVN2No6Bgfg/9yzeDz2EY8OG1g4PgIzCDDaf2czG0xs5lnYMB+HAnUF3MqTpEHoH9sZRPZ1Wrpzkq6uKkqLBUKht8wzSqoqCJmnVRfXbgoNtPDxUJ5YsQXQFTkkp4wCEECuBIUDJBNEKeBdASnlcCBEmhKgHFAC9gX+at+kAnQVjVWyQMSuLrJ9+InPtWoqOxSCcnPDo1w/vEcNx69bNJhpr9SY9exL2sOH0Bn5L+A2DyUBL35ZM7zKd+xvfr0YYVzYp4dD38NtsbVAagL0TNGgPXZ680rvI0zYeGqo7SyaIQCC+xOsEoNs1+xwEhgF7hBBdgVAgCDACqcBXQoj2QBTwvJQy79qLCCEmABMAQkJCKvszKFXMmJ1N7q+/krNtG7m/7UbqdDi3akm911/D68EHsffysnaIABxPP86GUxvYfGYz6YXp+Lr4Mjp8NIObDKaFbwtrh1czpcTAphfh3B6tMfm+d7Rk0KA9OFTtlOa1hSUTRGmVrNd2mZoNfCyEiAYOAwcAA+AIdAKelVLuFUJ8DMwAXr/uhFIuAhaB1oup0qJXqowhNZWcHTvJ2baNvL17wWDAoV49vP/xD7yHDcWlVStrhwhAWkEam+I2sfH0RmIzYnG0c6RPcB+GNBnCHYF3qAVwLKUoF36bA//7P3D2gEEfQ8exNjciuSayZIJIAEquJRgEXCi5g5QyG3gCQGitdmfMX25AgpRyr3nXNWgJQqkhdPHx5GzbTs727RQcOABS4hQait8T/8Sjb19c2ra1jSoko57fEn5jw6kN/J74O0ZppI1fG2Z2m8nARgPxcraNEk2NJCXEbIQtr0B2ojaj6b2zoI6ftSOrNSyZIPYBzYQQjYBEYBQwuuQO5p5K+eY2hieB3eakkS2EiBdCtJBSxqI1XB9DqbaklBSdPEnOtm3kbN9BUUwMAM4tW+L/7GQ8+/XDqWlTm+ndE58dz+qTq9lwSlsVra5rXca2HsuQJkNo4t3E2uHVfGmnYfNLcHqH1sA8cqlWnaRUKYslCCmlQQgxGfgFrZvrEinlUSHERPP2z4GWwDIhhBEtAYwvcYpngW/NPZjiMJc0lOpDmkwUHj6sJYVt29GdOwdC4NqxIwHTp+PRr2+VLWxTHnqTnt/if2P1idX8eeFP7IU9fYL7MLzZcHo07IGDnRo2ZHH6Atjzofbl4AID5miNz7Vo9LItUSOplUolDQbyIyPJ2bqNnO3bMaSkgIMDdbp1w6NfPzzuvcfm5hFKyk1i7cm1rDu5jtSCVOq51WN48+EMazqMenVsY86mWuHEVvj5JW167LYj4b631ViFKqBGUisWZSoqIu+PP7WeRzt3YszKQri44H7nnXj064v7XXfZTO+jy4wmI39c+IPVsavZnbgbKSW9AnvxRos36BXYS5UWqlJmPGyZAcd/0hbJefxHaNTb2lEpqASh3CJjbi65v/1Gzrbt5O7ejczPx87DA4977sa9b1/ce/XCztX2pjtOzU9l/an1rDmxhqS8JPxc/BjfZjzDmw8n0D3Q2uHVLgYd/DUfds/VXvedBd0nqQFtNkQlCKXcDOnp5OzYQc727eT/+RdSr8fe3x+vwYPw6NuPOl27VNnaChVhkib2Ju1l9YnV7Dq/C4M00K1BN16MeJG7Q+5W3VOt4cxu2PQCXDoB4Q/CgNngHXzz45QqpRKEUib9hQvkbN9Ozrbt5EdFgcmEY1AQPmPG4NGvL67t2yPs7a0dZqnSC9PZcGoDq0+sJj4nHm9nb8a0GsOI5iMI9Qy1dni1U04ybH0NDq/WptIevRqa32ftqJQbUAlCuU5R3Blytm4lZ/t2Co8cAcC5WTP8J07Eo19fnMPDbaY76rWklOxP2c/3sd+z7dw29CY9nQI6ManDJPqG9sXZXo24tQqjAfZ9Abve0abcvmsG9JpSbVZdq61UglCukrl2LUkzXwPApX07Al58AY++fXEKC7NuYDeRVZTFT3E/8X3s98RlxeHh6MHI5iMZ2XwkTX0qb61p5RbE/w2bpmkzrTa5F+6fC35qLEl1oBKEUqwwNpbkf/8Htx7daTh7ts0sy3kjUkoOXzrM97Hf88vZXyg0FtLWvy3/vuPfDGg0AFcH9XRqVXlpsP1NOPANeAbCP5ZBy8Fgo6VP5XoqQSgAmPLySJwyFTtPDwLnzsXB33YXssnT57EpbhOrT6zmePpxXB1cGdRkECObj6SlX0trh6eYTHBgGWyfBUU5cMdzcNd0cHa3dmRKBakEoSClJOmtt9CdO0fIkiU2mxxi0mJYfWI1m+I2kW/Ip4VPC17v/jr3N7ofdyd187EJSQfhp2mQGAmhPeGBDyBAJe3qSiUIhax168je+CP+z06mTvdrZ2S3rgJDAVvObGH1idUcvnQYZ3tnBoQNYGSLkbTzb2ezjeW1TmEW7HwH9i0GNz8Yugja/UNVJ1VzKkHUcoUnTpD8n7dx694d/4kTrR1OsQu5F1h2bBkbT20kR59DY6/GTO8ynUFNBqkZVG3J5QV8tr4G+Ze0eZPungmu3taOTKkEKkHUYqb8fBKnTsPO3Z3Aue/ZxHiGfH0+S44sYenRpZikib6hfflH83/QuV5nVVqwNSnHtcFu5/ZAYGd4dDU07GDtqJRKpBJELZb87/+gi4sjZMmXVp9AT0rJz2d+Zl7UPC7mX2Rgo4FM6zyN+nXUZG02pygXdr8Hfy0AJ3d48CPo9LhawKcGUgmilspct56sH37A/5lnqNOjh1VjOZZ2jDl/z2F/yn5a+rbkvd7v0aleJ6vGpJQiL01bn2H7LG0Bn45joO9bUMc2OzUot08liFqo6NQpkv/zH9y6dsV/0jNWiyOtII1PD3zKupPr8HHxYVaPWTzU9CHs7axf1VXrGYq0gW0JkVqPpIRIyDijbavXBkZ8BSG21aFBqXwqQdQypoICEqdOxc7NjYbvz7VKu4PepGdFzAo+P/g5BYYCxrQaw8T2E/F08qzyWBS0hub0OEiMupIQkg+DUadt92igtTF0fhwCIyCkh1rAp5ZQ/8q1TPLbb1N06jTBXyzGMSCgyq//R+IfzNk3hzNZZ+jZsCcvd3mZxt6NqzyOWi0/HRL3XykZJEZBQbq2zdENGnaEbhMhKEJLCF5qGvTaSiWIWiRrwway1q7Db+LTuPfsWaXXPpd9jvf3vc+vCb8S4hHC/Hvm0zuot+qZZGkGHVw8DAlRVxJC+mnzRgF1wyH8fi0RBEVA3ZaqdKAUU38JtURRXBxJb/0bt4gI6k6eXGXXzdPnsfDQQr459g1Odk5M7TyVMS3H4GRve+tGVHtSast1lqwqSjoExiJtu3t9LQl0HKN9b9ABXFS1nnJjN00QQogHgc1SSlMVxKNYgKmggMTnp2Dn7EzDD95HOFj+ucAkTfx4+kc+2v8RlwouMaTJEKZ0noK/q+rxUmkKMrVkUDIh5Kdp2xxczVVFE66UDjwD1chmpULKc6cYBXwshFgLfCWljLFwTEolu/jf/1J08iTBixdVyQyth1IPMfvv2Ry+dJh2/u345O5PaFu3rcWvW6MZ9XDxyJU2g4RISDtp3iigbgtoPhCCOmsJIaCVqipSbttN/4KklGOEEJ7AI8BXQggJfAWskFLmWDpA5fZk/fgTmavX4DdhAu533mnRa6Xkp/BR1Ef8GPcj/q7+vNPrHR5s/CB2Qg2gqhBdHiQfgeRD2uR3yYcgJeZKr6I6AVqJoP0o7XvDjuCiph9RKl+5HjGklNnmEoQrMAUYCrwkhPhESvmpBeNTbkPRmTMkv/kmrp07U/e5Zy12HZ1Rx7Jjy1h8aDF6k57xbcbzVLunqONYx2LXrDHy0iD5oNZWkHxI+552CpDadldfaNBO61XUsKOWELyCVVWRUiXK0wYxCBgHNAG+AbpKKVOEEG5ADKAShA0yFRaSOHUawsmJQAu1O0gp+TX+V+ZGziU+J54+wX14KeIlQjxDKv1a1Z6UkBV/dSJIPqSNSL7MKxjqt4O2I7TvDdqpdgPFqspz1xgJfCil3F3yTSllvhBinGXCUm7XxXdnU3T8OMELP8exfuXPZ3Q68zTv7XuPPy/8SWOvxizsu5A7Au+o9OtUS0aD1j6QfPhKFVHSISjM1LYLO/BrBqF3XEkE9duBm69Vw1aUa5UnQbwJJF1+IYRwBepJKc9KKXeUdaAQYgDwMWAPfCGlnH3Ndh9gCVrppBAYJ6U8UmK7PRAJJEopHyzfR1KyN28mc9Uq/J4cj/tdd1XuuXXZfBb9GSuOr8DNwY3pXabzcPjDONo5Vup1qg19AVw8dnU10cVjYCjQtts7Q73W0PohczJorzUgO7lZNWxFKY/yJIjVQMlHQ6P5vS5lHWS+uS8A+gEJwD4hxEYp5bESu70KREsphwohws3731ti+/No1Viqs3Y56c6eJen1N3Dt2JG6zz9faec1moysO7WOT/d/SmZRJiOaj2Byx8n4utSip96CDHOpoEQ10aUTII3admcvrTQQMe5KqcC/uepNpFRb5fnLdZBS6i6/kFLqhBDlGeXUFTglpYwDEEKsBIYAJRNEK+Bd83mPCyHChBD1pJQXhRBBwAPAO8C08n2c2s1UVETC1GkIBwet3cGxcp7qoy5GMfvv2RxPP06ngE680u0Vwn3DK+XcNk2XD4dWwantWkLIPH9lm0cDLQG0fPBKNZF3qGovUGqU8iSIVCHEYCnlRgAhxBDgUjmOCwTiS7xOAK6d/vEgMAzYI4ToCoQCQcBF4CPgZcCjrIsIISYAEwBCQmp342jKnDkUxcQQ9Nn/4diw4W2fLyk3iXlR89hydgv169Rnbu+59A/rX/Onx8hO0pbOjFyilRp8wsyT1T1hLhm0B3frrp+hKFWhPAliIvCtEGI+INBu+mPLcVxpdxF5zevZaIPwooHDwAHAYB69nSKljBJC9CnrIlLKRcAigIiIiGvPX2tkb9lCxncr8H3iCTzuvvu2zlVgKGDpkaUsObIEiWRi+4mMazMOVwfXSorWRiUdhL/+D46sBZMBwh+AHpO02UtrelJUlFKUZ6DcaaC7EMIdEBUYHJcABJd4HQRcuObc2cATAEJ7LD1j/hoFDBZC3A+4AJ5CiOVSyjHlvHatojt/nqSZr+Havj0B06be1rkOpBxg+u7pJOUlcV/ofbwQ8QIN3W+/NGKzTEY4sUVLDOf2aCukdRkP3Z4GXzXLrFK7lav1TAjxANAacLlcvSCl/PdNDtsHNBNCNAIS0W76o685rzeQb27jeBLYbU4ar5i/MJcgXlTJoXQmnY7EKVPBwYHAeR/cVrvDj6d/5M0/36RBnQYs6b+ELvXL7IdQvRXlQvR3sPczbS0Er2C4723o+Bi4els7OkUpk5SS06l5RJ1LZ9/ZDLIL9CwaG1Hp1ynPQLnPATfgbuALYATw982Ok1IahBCTgV/QurkukVIeFUJMNG//HGgJLBNCGNEar8ff6geprVLem0vhsWMELZiPY+CtzdtvkibmH5jP4sOL6VK/Cx/2+RAv5xo6dUNWAuxdCPu/hsIsCOoC97wOLQer3kaKzSoyGDmckEXkuQwiz2YQdS6djHw9AD5ujnRt5IvJJLGzq9yqUCFl2dX2QohDUsp2Jb67A+uklPdVaiSVICIiQkZGRlo7jCqTvXUric89j+/jY6n3yiu3dI4CQwEz98xk27ltDGs2jNe6vYajfQ0c05AQBf9bAEd/AKSWEHpMguCu1o5MKUVukYHkrAKSsgpJyiokOauQ5Gzte1JWIRl5OkJ83WhR34PwBh6E1/egeT0PPFxqxt9uRp6OqHMZ7DuXTtTZDA4lZqEzaBNqN/KvQ0SoDxFhPkSE+dLYv85tdRwRQkRJKUstfpTnkanQ/D1fCNEQSAMa3XI0SqXQxceTNPM1XNq2JeCFF27pHKn5qTy781mOpR3jxYgXGdtqbM3qoWQywvGf4K8FEL8XnD2h+7+09gXv2t3jzVqklGQXGEjKLii+8Wvfr7xOziokp8hw3bF+dZyo7+VCoLcLrRp4ci4tj/UHEsn935V9g3xcCa/vSXiJxBHmVwcHe9udMFJKydm0fCLPpmtJ4Ww6p1PzAHC0F7QJ9OLxHqFEhPnSOdQHf3fnKoutPAniR3NbwVxgP1pPpMWWDEopm9TpSJymJYXAD+chnCq++M7x9ONM3jGZbF02H9/9MXeH3F7PJ5tSmA0HvoG9n2tjF7xDYcBsbaEc5zJ7TSu3wWSSpOfrrrrpJ2cXXnXjT8oqpEBvvOo4ISDAw5n6Xq40rluHnk39qe/lQgMvF+p7utDAy5UAT2dcHK9fP11KSWJmAceTcoi9mENMUjaxyTnsik3BaNJqR5wc7GgW4F6cOC6XOuq6O1vlgUhnMHH0QhaRZzOIPKclhUu52lAzTxcHIsJ8GdYpiIhQH9oHe5f6uatKmVVMQgg7oLuU8k/za2fARUqZVUXxVUhtqWK6+O67pH+9jMBPP8GzX78KH7/z/E5m/D4DTydP5t87v+YMess4Z25fWAa6HAi5A3o8Ay3uBzvr/SerKQxGE8eTc0jIyL/m6b+QpOwCLmYVoTNeva6Yg52gnqcL9b20rwbmnxt4uRYngboezjhW8hN+od7I6dTc6xJHSk5R8T6+dZyKE0bL+p60MFdTuTpV7t9KVr6e/ee1ZLDvbAYH4zMpMlcXhfi6mauLfIkI86FpXfdKb0e4mVuuYpJSmoQQHwA9zK+LgKKyjlEsK2f7dtK/XobPY49VODlIKfn66NfMi5pHa7/WfHLPJ9R1q+YDvqSE+L/hr/ladZKwg9ZDofszENjJ2tFVa3lFBqLjM9l3Np3IsxnsP59Bvu7K07+Tg13xU37nEB/qe7lqr0s8/fu5O2NfxTc8ABdHe1o39KJ1w6s7W6Tn6TienK0ljuQcjidns/Lv+OJSjRAQ5lfnSknDXOoI8XUr141bSklCRoH2OzuXQdTZDE6k5CAl2NsJ2jT05NFuoVr7QagPAZ4uFvn8laU8jdRvAYfQGqZteiBaTS9B6BISOTNsGE7BwYSu+A67ClQt6Y163t77NutOruO+0Pt4u9fb1Xvgm1EPxzbA//5PW2HNxRs6/xO6TgCvW+vNVdul5hQVd5vcdzadoxeyMZokQkDL+p50udwoWrcODbxc8XFzrBFtVkaT5Hx6PrHJ2RxPzikudZxNy+PyHc/NyZ5m9TxoaU4cl0sdHi4OHEvKLq4uijybUVxK8XB2oGOoD11Cfegc5kOHYG/cnGyvp1xZJYjyJIgcoA5gQGuwFoCUUtrcBHo1OUFInY6zjz2G7nQcjdavwyk4+OYHmWUVZTH116nsS97HhHYTmNRhUvVd5a0gA6K+hr8XaWsp+DbRGp47jAYntUBReV1uGN13Np19Z7Sn3TOXtIZRZwc7OgR707WRLxFhvnQM8cazhvQOqoh8nYGTF3O1Eoc5cRxPzi7uXgpaI7LeqN1DA71di3sWRYT60Lyeh1VKTxV1W72YpJSqVc8GpMz7kMKDhwj86KMKJYezWWeZvHMyF3Iv8N9e/2VQk0EWjNKC0k5rjc4HvgV9HoTdCQ/Mg2b3gV01TXZVyGA0cSwpm7/PpBc/7V5uGPV2cyQi1JdHugYTEeZLm4ZeODmo36mbkwPtg71pH+xd/J6UktScIi1hJGdzKVdH20AvIsJ8aOBVjUvkN1CegXK9S3v/2gWEFMvJ2bmL9KVL8Rk9Gs8B/ct93N6kvUz9dSqOdo582f9LOgZ0tGCUFiAlnPtDmwYjdjPYOUDbkVqJoUE7a0dn0/KKDBw4b24/OJfOgfOZxe0Hwb6u9G5ely5hvnQJ86Gxf9U3jFZXQggCPF0I8HShd/Nq3n5XDuWpEHupxM8uaNN4RwH3WCQi5Sr6Cxe48MorOLdqScD0l8t93JoTa3jnf+8Q6hnK/HvnE+QRZMEoLeDEL7DzbW2abVdf6P0idHkSPCp/dbyaIDWniMizWvtB5Lkr7Qd2Alo28OQfEcHmhlFf6nvZdsOoYjvKU8V0VZ2EECIYeM9iESnFpF5P4tRpYDAQ9OGH2DnffICM0WRkXtQ8lh1bRs/AnsztPRcPp2pUS5iVAD9P13ok+TaBBz+C9qPAseYV32+VlJIzl/KINDcmX9t+0DHEm2f6NKnV7QdK5biVJvUEoE1lB6JcL+Wjjyg4eJDAD+fhFBp60/3z9HlM3z2d3xJ+Y3T4aF7q8hIOdrbXa6JURr3WxrDrXZAmuPdN6DEZHCo+CLAmikvNZefxlOvaD3zcHIkIU+0HimWUpw3iU66s42AHdEBb6EexoJxffyX9yyV4j3oYz4EDb7p/Um4Sk3dO5nTmaWZ2m8mo8FFVEGUlOb8XfpoKKUeh+QAYOEdbpEcBYNW+87z+w1F0RhMhvm6q/UCpMuV5vCzZb9QArJBS/mGheBRAn5RE0oxXcA4PL9ckfIdSD/HczucoMhax4N4F9AzsWQVRVoL8dNj+pjby2TMQHv5WW6SnBvStrwxFBiNv/XiM7/aep1dTf+aMaEegt6pqU6pOeRLEGqBQSm1ldiGEvRDCTUqZb9nQaiep15P4wotInY7AD+fdtN1hy9ktvLbnNfxd/fmy/5c08W5SRZHeBinh4ArY+hoUZMIdz8JdM8DZ3dqR2YyL2YX8a3kU+89nMvGuJrzUv0W16FOv1CzlSRA7gL5Arvm1K7AVuMNSQdVmqZ98SsH+/TR8/32cG9140lwpJQsPLWRB9AI6BXTiw7s/xNfFtwojvUUpMbDpBa37anA3bSxDfdWkVVLk2XT+9e1+8ooMzB/dkQfb1eAV/RSbVp4E4SKlvJwckFLmCiHcLBhTrZX7+++kLV6M98iReD34wA33KzIW8cYfb7D5zGYGNxnMmz3exMnexhtzdfmw+z3481NtRtXBn0KHMWqQWwlSSpb/7xxv/XiMQB9Xlo/vRov61agHmlLjlCdB5AkhOkkp9wMIIToDBZYNq3YxFRWR9cMGUufNw7l5c+rNfPWG+6YVpPH8ruc5mHqQ5zs9z/g2421/PpzYLbD5Jcg6ryWFfm9BHX9rR2VTCvVGXv/hCKujEri7RV0+ergjXm6qe6piXeVJEFOA1UKIC+bXDYCHLRZRLWLMzSVz5UrSvv4aY+olXNq0IfD9udi5lD6Q6WTGSSbvmEx6YTrz+syjX2jFp/quUpnxsGWGNqahbkt44mcIVTWT17qQWcDE5VEcSsjiuXuaMqVvc9UzSbEJ5Rkot08IEQ60QJuo77iUUn+Tw5QyGC5dIn3ZN2SsWIEpJ4c6d/TAb+5c3Lp1u2Fp4PeE33lp90u4ObixdMBSWvu3ruKoK8Coh/99Br++qzVI950F3SepMQ2l+Ot0GpO/20+RwcTCxzrTv7UaKa7YjvKMg5gEfCulPGJ+7SOEeERK+X8Wj66G0SUkkL5kCZlr1yF1Ojzuuw+/J5/Ete2NG2mllHx3/Dve2/ceLXxa8Mk9n1C/jg3fRM7/zzym4Zi2UM/AOWp5z1JIKVnyx1n+uzmGUD83Fj0WQdMA1YtLsS3lqWJ6Skq54PILKWWGEOIpQCWIciqMjSVt8Rdk//wz2Nnh/dAQfMeNK7OXEoDepGfO33NYFbuKe4Lv4d0738XN0Ub7B+Snw7Y3tKU+PYNg1HfamAblOgU6IzPWHWJD9AXua1WPD/7RHg81HYZig8qTIOyEEOLyYkFCCHtA1RWUQ35UFJcWLSLvt93YubnhO3Ysvv98HMd69W56bLYumxd/fZG/kv5iXJtxPN/pedtcw8FkgoPfwdbXoSgbej4Pd01XazPcQHx6Pk9/E0VMcjYv9GvOpLubqvYGxWaVJ0H8AnwvhPgcbcqNicAWi0ZVjUkpyf31V9IWf0HB/v3Y+/hQ9/nn8HnkEey9vct1jvjseCbtnER8Tjz/vuPfDG021LJB36qLx2DTNDj/F4T00MY01Gtl7ahs1u8nU3l2xQGMJsmSx7twd3iAtUNSlDKVJ0FMByYA/0JrpN4KLLZkUNWRNBjI/vln0hYtpujkSRwaNqDea6/hPXwYdq7lnx4h6mIUU3ZNQSJZ1G8RXep3sWDUt0iXB7/Ngb8WgLMnDJ4PHR5VYxpuQErJwt1xvLflOM0CPFj4WGfC/FUJS7F95enFZAI+N38hhOgFfApMsmxo1YOpoIDMdetIX/IV+sREnJs1peGc2Xjefz/Csfz1ylJKNpzewFt/vUWQexAL7l1AiKcNNu4e3ww/vwxZ8dDxMej7FtTxs3ZUNiuvyMDLaw6x6XASD7RtwHsj2lHHuZrMsKvUeuX6SxVCdAAeQRv/cAZYV87jBgAfA/bAF1LK2dds9wGWAE3Q1rseJ6U8Yl5zYhlQHzABi6SUH5fnmlXFmJVFxooVpC/7BmN6Oq4dOlBv5kzc+9yFqMCTtEma2BW/iy8Pf8nhS4fp1qAbH9z1AV7OXhaM/hZkntfWaYjdDAGtYNwvENLd2lHZtLOX8pjwTSSnUnJ5ZWA4E3o3tv1BjYpSwg0ThBCiOTAKLTGkAasAIaW8uzwnNjdmLwD6oa0hsU8IsVFKeazEbq8C0VLKoeaxFguAe9FmjX1BSrlfCOEBRAkhtl1zrFXoL6aQvuxrMleuwpSXR527euP/1FO4du5cof/8epOeLWe28OXhLzmddZpA90Be7/46Q5sNxdHOhnq0GPVaVdJvc7TX/f4N3Z8BexuK0QbtPH6R51dGY28n+HpcV+5sVvOXp1RqnrJKEMeB34FBUspTAEKIqRU4d1fglJQyznzsSmAIUPIm3wp4F0BKeVwIESaEqCelTAKSzO/nCCFigMBrjq1SurNnSftyCVk//IA0GvEcOBC/p57EJTy8QucpNBSy/tR6lh5ZyoW8CzTzacbsO2fTP6y/7S3uc+5P+GkapMZA+IMwYDZ4B1s7KptmMknm7zrFh9tP0LK+Jwsf60ywr412TVaUmyjrjjQcrQSxSwixBViJ1khdXoFAfInXCUC3a/Y5CAwD9gghugKhQBBw8fIOQogwoCOwtwLXrjQFR4+StvgLcn75BeHoiNeI4fiNG4dTcMVulDm6HFbFruKbY9+QXphO+7rtebXbq/QO6m171Q55adqYhujl4BUCj6yEFjdftKi2yynUM+37g2w7dpGHOjTk3WHtcHWyt3ZYinLLbpggpJTrgfVCiDrAQ8BUoJ4Q4jNgvZRy603OXdpdT17zejbwsRAiGjgMHECrXtJOIIQ7sBaYIqXMLvUiQkxA62VFSEjlNOpKKcnf+zdpixeT98cf2Lm74/fkk/iOfQyHuhWrKkgrSGN5zHJWHl9Jrj6Xng17Mr7teCLqRdheYgCI+xVWP2Ee0zAF7npZjWkoh1MpuUz4JpJzafm88WArnugZZpv/vopSAeXpxZQHfAt8K4TwBUYCM9C6u5YlASj5mB0EXCi5g/mm/wSA0P43nTF/IYRwREsO30opb9goLqVcBCwCiIiIuDYBVYg0mcjZsYO0xV9QeOgQ9v7+1H1hGj6jRmHvUbFply/kXmDp0aWsO7kOnVFHv9B+jG87nlZ+NjxO4PhmWP04+DWFJzZDQEtrR1Qt/HI0mRe+P4izgx3Lx3ejRxPVq0upGSpU6S2lTAcWmr9uZh/QTAjRCEhEq64aXXIHIYQ3kC+l1AFPArullNnmZPElECOlnFeRGG+F1OnI+mkTaV98gS4uDsfgYOrPmoXX0IduuqLbteIy4/jyyJdsjtsMAgY1HsQTbZ6gkVfZ02pY3aHVsP5paNgRHl0NbtVg8SErM5kkH20/wSc7T9EuyIvPx3SmoVoSVKlBLNYqKqU0CCEmo43EtgeWSCmPCiEmmrd/DrQElgkhjGgN0OPNh/cEHgMOm6ufAF6VUm6u7DiNubnEDRqMISkJ5/BwGn7wPp79+yMcKvarOXLpCF8c/oKd53fi4uDCqPBRPN76cdueWO+yyK+0CfbCesEjK7QFfZQyZRXombLyALtiUxnZOYj/PNQGF0fV3qDULBbtNmO+oW++5r3PS/z8F9CslOP2ULEG8Vtm7+6O15DBuHXuTJ1evSpUbyylZG/yXr44/AV7k/bi4eTBhHYTeLTlo/i4+Fgw6kr0xyew7XVo1h/+8TU4VuwJWEpJkcFEvs5Ivs5Aod5Ivs5Igc5Ivl77fvnnQp22LV9vKPHzlfcL9Jf3NVCgMyEEBPu4EuLrRohfHUJ83Qj1cyPE140AD2er1fHHJufw9DeRJGYW8J+H2jCmW4hqb1BqJGGeg69GiIiIkJGRkRa/zrWD2/xd/Rnbaiwjm4/E3amaTNksJex6B3bPhdbDYNgisHckM1/HV3+cJT1PV3zDLtBrN/8rPxuvJAK9kYr+CTnZ2+HqZI+roz1uTvbFP1/9ngNGk4n49ALOp+eTlFWAqcR1XBztCPZxMycPt6uSR5CPm8We5jcdSuKlNQep4+zAZ492IiJMVcUp1ZsQIkpKGVHatrIGyuVwfa8j0J7spZTSs5Liqzb0Jj0/n/mZJYeXXDW4bUjTITjbV6ytwqpMJvjlFdj7OXQaCw9+BHb2GE2SSd/t58/TaXi7Ol65aTvZ4+bogLebEw3MN3AXJ3vcrvnZ1XxjdytxXPENv0QCcLCv+JxNOoOJxMwCzqXlEZ+ez7m0fM6na19/xaWRrzNetX99T5frkkewr/azXx2nCj/xG02S9345zsLf4ugU4s1nYzpTz7P0lf8UpaYoq5urqog2q1aD227GZISNz2ljHHpMhvveBvPN8v2tsfxxKo25I9oxMsK2BsQ5OdjRyL8OjUqZ5E5KSVqejnNp+dckjzx+P5nKxeyiq/av42RPcIkSR8kqrEBvV5wcrk5gGXk6nlt5gN9PXuLRbiG8Oaj1dfsoSk1U7rubECIAKH5kklKet0hENqRaDW4rD4MO1j0Fx36APq9qYxzMn2PLkWQ++/U0o7uF2FxyuBkhBP7uzvi7O9M59Pq2n0K9kXhzaeNy8ohPz+d0ah67YlPRGUzF+9oJaODlWpw8Ar1dWRUZT0p2EXOGt+XhLjY4gaKiWEh5lhwdDHwANARS0EY7xwA2vCjy7al2g9vKQ5cP34+FU9ug/3+hx5XJeE+n5vLi6oO0D/bmzUE2PE7jFrk42tOsngfN6l1fKDaZJCk5RebkYa6+MieT7TEXuZSro4GXC99P7EGHYO+qD15RrKg8JYj/AN2B7VLKjkKIu9Em8KtxLuRe4KsjX7H+1PrqM7itPAqzYcUobW6lQZ9A58eLN+UVGZj4TRRODnZ89mgnnB1qV1dNOztBfS8X6nu50LXR9Q3OuUUGnB3scLyFdhNFqe7KkyD0Uso0IYSdEMJOSrlLCDHH4pFVodOZp1lyZEn1G9xWHvnpsHwYJB+GEV9Cm+HFm6SUvLz2EKdTc1k+vpsa5FUKd7V2g1KLleevP9M8J9JutOk2UigxX1J1l6PLYdRPoxBCVK/BbeWRkwzLHoL0OBj1HTTvf9XmL/ecYdOhJGYMDOeOpv7WiVFRFJtVngQxBChAm6zvUcAL+Lclg6pKHk4ezL1rLu3rtq8+g9vKI+McLBsCeakwZg006n3V5r1xabz783EGtK7P070bWylIRVFsWXkSxARgtZQyAfjawvFYRZ/gPtYOoXKlntCSgz4fxm6EoM5Xbb6YXcik7w4Q6ufG3JHtqm/Du6IoFlWeljdP4BchxO9CiElCiHqWDkq5DUkH4auBYDJoM7Jekxx0BhPPfLuffJ2BhWM64+GiVoZTFKV0N00QUsq3pJStgUloXV1/E0Jst3hkSsWd3wtLB2nzKY3bAvWu74n8zqZjRJ3LYO6I9qV2+1QURbmsIn33UoBktPWpAywTjnLLTu+Cbx6COv7wxM/g1+S6XdYfSODrv87x1J2NeKBdg6qPUVGUauWmCUII8S8hxK/ADsAfeEpK2c7SgSkVEPMTfPcP8G2slRxKWTf62IVsXll3mG6NfJk+oGLraCuKUjuVp5E6FG3Jz2gLx6LcioOr4Id/aQv9jFkDrtf3xMrK1zNxeRRero7MH93plibLUxSl9inPkqMzqiIQ5Rbs+xI2vQCN7tTGOZSy0I/JJJn2fTRJWQWsnNCDuh7VaNZZRVGsSj1KVld7PoJN06D5ABi9+oarwM3fdYodx1N4/cFWpU5kpyiKciNqHoHqRkrY+Tb8/j60GQFDPwf70ruq/hqbwofbTzCsYyCPdQ+t4kAVRanuVIKoTkwm2DID/l4InR6HBz8Eu9In14tPz+f5ldGE1/fknaFt1WA4RVEqTCWI6sJogI3PwsHvrlvo51qFeiMTl0chpeTzMZ1wdapdM7QqilI5VIKoDgxFsPZJiNkId8+E3i/dMDlIKXnthyMcvZDNkn9GEOp3/QpsiqIo5aEShK3T5cOqMXB6BwyYDd3/Vebu3/19njVRCTx3bzPuCVezoiiKcutUgrBlhVnw3SiI/x8Mng+dHitz9wPnM5i18Sh9WtRlyr3NqihIpbrS6/UkJCRQWFho7VCUKuDi4kJQUBCOjuWff00lCFuVl6Yt9HPxCAz/EtoMK3P3S7lFPPPtfup7ufDRwx2ws1ON0krZEhIS8PDwICwsTHViqOGklKSlpZGQkECjRuVfCE2Ng7BF2Umw9H5IPQ6jVtw0ORiMJp797gDpeTo+e7Qz3m5OVRSoUp0VFhbi5+enkkMtIITAz8+vwqVFVYKwNRlnzQv9XIIxayGs100Pmbs1lr/i0nh/ZHvaBHpZPkalxlDJofa4lX9ri5YghBADhBCxQohTQojrpuwQQvgIIdYLIQ4JIf4WQrQp77E1UmosLBkABZnaQj/lSA4/H05i4W9xPNothBGdgywfo6IotYbFEoQQwh5YAAwEWgGPCCFaXbPbq0C0eXbYscDHFTi2ZslKMC/0Yyx1oZ/SnErJ5aU1h+gQ7M0bg2r2r0epuZKTkxk1ahRNmjShVatW3H///Zw4cQIhBJ9++mnxfpMnT2bp0qUA/POf/yQwMJCioiIALl26RFhYmBWir9ksWYLoCpySUsZJKXXASrT1rUtqhTaNOFLK40CYecW68hxbc0gJP04BfYGWHEpZ6OdauUUGJi6PwtnBjs/GdMLZQQ2GU6ofKSVDhw6lT58+nD59mmPHjvHf//6XixcvEhAQwMcff4xOpyv1WHt7e5YsWVLFEdculmyDCATiS7xOALpds89BYBiwRwjRFW1q8aByHguAEGIC2rrZhISEVErgVe7waji1TRvn4H/z7qlSSqavOURcai7Lx3ejgZdrFQSp1GRv/XiUYxeyK/WcrRp68uagsh92du3ahaOjIxMnTix+r0OHDpw9e5a6devSs2dPvv76a5566qnrjp0yZQoffvhhqduUymHJEkRpLSLymtezAR8hRDTwLHAAMJTzWO1NKRdJKSOklBF169a9jXCtJDcVfp4OQV2h64RyHfLF72fYdDiJ6QPCuaOpv4UDVBTLOXLkCJ0737g6dcaMGXzwwQcYjcbrtoWEhNCrVy+++eYbS4ZYq1myBJEAlFzaLAi4UHIHKWU28ASA0JrYz5i/3G52bI3x88ugy4XBn95w4r2S/jqdxuwtxxnYpj4TejeuggCV2uBmT/rW0qhRI7p27cp3331X6vZXX32VwYMH88ADD1RxZLWDJUsQ+4BmQohGQggnYBSwseQOQghv8zaAJ4Hd5qRx02NrhOOb4Og66P0yBNx8GdCkrAKeXbGfMD835o5sr7ooKtVe69atiYqKKnOfV199lTlz5mAyma7b1rRpUzp06MD3339vqRBrNYslCCmlAZgM/ALEAN9LKY8KISYKIS5XOLYEjgohjqP1WHq+rGMtFatVFGRqq8HVawM9n7/p7jqDiWe+3U+BzsjCxzrj7qyGsCjV3z333ENRURGLFy8ufm/fvn2cO3eu+HV4eDitWrXip59+KvUcM2fO5P3337d4rLWRRe8yUsrNwOZr3vu8xM9/AaW2ypZ2bI2y7XXIvagtFepw85HPb286xoHzmSwY3YmmAaWvHqco1Y0QgvXr1zNlyhRmz56Ni4sLYWFhfPTRR1ftN3PmTDp27FjqOVq3bk2nTp3Yv39/FURcu6jHUGuI+xX2L9NKDoGdbrr7uv0JLPvrHBN6N+aBdg0sH5+iVKGGDRuWWkV05MiR4p/bt29/VRXT5fEQl61bt85i8dVmai6mqqbLgx+fB9/G0OeVm+5+9EIWr6w7TPfGvrzcv0UVBKgoiqJRJYiqtvMdbb6lf24Gx7LHL2Tl6/nX8v34uDnx6SOdcLBX+VxRlKqjEkRVit8H//s/iBgPYT3L3NVkkkxZdYCkrAJWTuhBXQ/nKgpSURRFox5Jq4qhCDZOBs+G0HfWTXf/dOcpdsWm8saDregc6mP5+BRFUa6hShBV5fd52voOo78HF88yd90Vm8JHO04wrFMgY7qHVlGAiqIoV1MliKpw8Sj8/j60/Qc071/mrufT8nl+xQHC63vyzkNt1WA4RVGsRiUISzMaYMMkcPHWJuMrQ4HOyMTl2qjShWM64+qkZmhVaj5LT/c9a9YsAgMD6dChA61atWLFihU3jcnd3f2q12fPnqVNmzZXvTdr1qwaP0BPJQhL2/sZXDgA978HdfxuuFtyViEz1h3iWFI2H4/qSIifWxUGqSjWUVXTfU+dOpXo6Gg2bNjA008/jV6vr8yPUWOpNghLSjsNO9+GFvdD6yvrSuuNJo5dyGb/+QyizmWw/1wGF7K0tWKn9G3G3eEB1opYqa1+ngHJhyv3nPXbwsCyS81VPd13s2bNcHNzIyMjg4CAAObOncv3339PUVERQ4cO5a233ir/56sFVIKwFJMJNj4H9s6k3z2bqJiU4mRwKDGTQr02KrShlwsdQ314MsSHLmG+tAksuwFbUWqS8kz3PXDgQMaNG3fdtpLTfQ8aNKhc19u/fz/NmjUjICCArVu3cvLkSf7++2+klAwePJjdu3fTu3fvW/48NY1KEJXMaJKcuJhD1p7FdD+3h7lOk1jwkTZlgKO9oFVDL0Z3DaVTqDedQnxo6K0W+1FswE2e9K2lsqb7/vDDD1m8eDFxcXFs2bIFgK1bt7J169biOZ5yc3M5efJkqQniRp1FanonEpUgblNWgZ4D57WSwf7zmUTHZ+JedJFtznP5264NJwOHMqOnL51DfWgb6IWLo2p4VpTLWrduzZo1a8rc59VXX2XEiBGl3rhLm+575syZbNq0CYDo6GhAa4N48cUXWbduHWPHjuX06dNIKXnllVd4+umnbxqnn58fGRkZV72Xnp5Oo0aNbnpsdaYaqSvAZJKcSsnl+33xzFh7iH7zfqP9W1v551f7mL/rFOl5Oh7q0IAfQtdQx1HS5dnlLHq8CxPvakKXMF+VHBTlGpaY7vudd94hOjq6ODmUNGzYMCIiIvj666/p378/S5YsITc3F4DExERSUlJKvYa7uzsNGjRgx44dgJYctmzZQq9evSr8masTVYIoQ16RgYPxmcWNyQfiM8nM13o/eLk60inEm8HtG9I51Id2wd7aGg2H18DB36D/f8G3Zj9dKMrtssZ032+88QajR48mJiaGmJgYevToAWhJYPny5QQEBJCfn09QUFDxMdOmTWPZsmVMmjSJF154AYA333yTJk2a3MKnrj6ElKUu9VwtRUREyMjIyFs6VkpJfHrBlZ5F5zOIScrGZP71NAtwp1OID51DfegU6k1jf3fs7K6pf8y7BAu6gk8YjN9WriVEFcVaYmJiaNmypbXDUKpQaf/mQogoKWVEafvX+hJEkcHIcysOEHUuk0u52qCbOk72dAjxZvLdTekY6kOnYB+83BxvfrKfp0NhNgxZoJKDoijVXq1PEM4O9mQXGOjdzJ+OoT50DvGhRX0P7K8tHdxM7M9wZA30eRUC1FOZoijVX61PEAArJnS/vRMUZsFP0yCgFfSaWjlBKYqiWJlKEJVh2xuQmwyjlpdrfWlFUZTqQHVzvV1ndkPUUugxCQJvPCJUURSlulEJ4nbo8rXpNHwaaW0PiqIoNYhKELfj1/9CxhkY/Ak4qdlXFeVW1LTpvpcuXUrdunXp0KEDrVu3ZsSIEeTn5xcf4+bmdtWAvGuvZUtUgrhViVHw1wLo/E9opCb3UpRbUVOn+3744YeJjo7m6NGjODk5sWrVquJt/v7+fPDBBxa9fmVRjdS3wqCDDZPBvT70+7e1o1GU2zbn7zkcTz9eqecM9w1netfpZe5T06f7NhgM5OXl4eNzZV35cePGsXTpUqZPn46vr2+lXq+yWbQEIYQYIISIFUKcEkLMKGW7lxDiRyHEQSHEUSHEEyW2TTW/d0QIsUII4WLJWCtkz4eQcgwenAcuXtaORlGqrfJM9/3BBx9gNBqv21Zyuu/yutF039HR0URFRbF79+5b+hzXWrVqFR06dCAwMJD09PSrpiN3d3dn3LhxfPzxx5VyLUuyWAlCCGEPLAD6AQnAPiHERinlsRK7TQKOSSkHCSHqArFCiG+BusBzQCspZYEQ4ntgFLDUUvGW28VjsHsutBkBLQZaOxpFqRQ3e9K3luo63ffDDz/M/PnzkVIyadIk5s6dy4wZV56Rn3vuOTp06FA8r5OtsmQJoitwSkoZJ6XUASuBIdfsIwEPof2W3YF0wGDe5gC4CiEcADfgggVjLR+TETZOBhdPGDjH2tEoSrXXunVroqKiytzn1VdfZc6cOZhMpuu23Wi67w4dOtChQ4fi96ZOnUpsbCyrVq1i7NixFBYWFk/3fXnm11OnTjF+/PhSY7jRdN/+/v7Ex8cXX+/zzz+/ah8hBIMGDbquZOLt7c3o0aP5v//7vzI/u7VZMkEEAvElXieY3ytpPtAS7eZ/GHheSmmSUiYC7wPngSQgS0q5tbSLCCEmCCEihRCRqamplf0Zrrb3c61xeuB7UMffstdSlFqgJkz3HRwcXHy9km0pl+3Zs6fUWV+nTZvGwoULMRgM122zFZZMEKWVva6dOrY/EA00BDoA84UQnkIIH7TSRiPztjpCiDGlXURKuUhKGSGljKhbt25lxX699DOw4z/QfAC0GW656yhKLXJ5uu9t27bRpEkTWrduzaxZs2jYsOFV+82cOZOEhIRSz3F5uu/yeuONN5g3bx59+/Zl9OjR9OjRg7Zt2zJixAhycnIAiqf7vvw1b948li1bxttvv02HDh245557ypzu+3IbRLt27Thw4ACvv/76dfv4+/szdOjQ4q66tshi030LIXoAs6SU/c2vXwGQUr5bYp9NwGwp5e/m1zuBGUAoMEBKOd78/ligu5TymbKueTvTfZdJSlg2GC5EwzP/A69rC0KKUv2o6b5rn4pO923JEsQ+oJkQopEQwgmtkXnjNfucB+41B1kPaAHEmd/vLoRwM7dP3AvEWDDWsu1fpk2p0e/fKjkoilJrWKwXk5TSIISYDPwC2ANLpJRHhRATzds/B/4DLBVCHEarkpoupbwEXBJCrAH2ozVaHwAWWSrWMmVfgK2vQdid0Olxq4SgKIpiDRYdKCel3Axsvua9z0v8fAG47wbHvgm8acn4bkpK2PQCGPUw6GOwUwPPFUWpPdQdryxH10HsZrhnJvjV7LVnFUVRrqUSxI3kpcHml6FhJ+j2L2tHoyiKUuVUgriRX17RVoobMh/s1ZRViqLUPipBlObEVji0Cu58Aeq1tnY0ilKjqem+S5/uu+R5wsPD+fDDD28ad2VTCeJahdnw0xSo2xLunGbtaBSlRlPTfZfvPH/88QfvvPMO8fHxNz+oEqm6k2ttnwU5SfCPZeDgbO1oFKVKJP/3vxTFVO50384tw6n/atkrLarpvss33befnx9NmzYlKSmJ4OBgli9fzieffIJOp6Nbt27FczqNHz+eyMhIhBCMGzeOqVOn3lb8qgRR0tk9EPkldH8GgkodWKgoSiVS032Xz/nz5yksLKRdu3bExMSwatUq/vjjD6Kjo7G3t+fbb78lOjqaxMREjhw5wuHDh3niiSdufuKbUCWIy/QFsPFZ8AmDu9X60krtcrMnfWup7dN9r1q1il27dhEbG8vixYtxcXFhx44dREVF0aVLFwAKCgoICAhg0KBBxMXF8eyzz/LAAw9w332lDjGrEFWCuOzXdyE9DgZ9Ak51rB2NotQKarrvK9N9L1iwoPg8Fy5oqxs8/PDDHD16lN9//50XXniB5ORkpJQ8/vjjxXHHxsYya9YsfHx8OHjwIH369GHBggU8+eSTZf5ey0MlCIDE/fDnp9BpLDS+y9rRKEqtoab7vjLd96RJk4rPc+1stj169OCxxx7j448/5t5772XNmjXFsaanp3Pu3DkuXbqEyWRi+PDh/Oc//2H//v2lfpaKUFVMBp1WteReD/r9x9rRKEqtcnm67ylTpjB79mxcXFwICwvjo48+umq/mTNnFlcFXevydN/lvSG+8cYbjB49mpiYGGJiYujRowegJYHly5cTEBBQPN33ZdOmTWPZsmVMmjSpuFroZtN979mzB5PJRFBQUHH33JIuT/dd3u6r06dPp1OnTrz66qu8/fbb3HfffZhMJhwdHVmwYAGurq488cQTxSWtd9999yZnvDmLTfdtDbc03XdRDvw8HcIf0L4UpZZQ033XPhWd7luVIJw94CHbXvZPURTFGlQbhKIoilIqlSAUpRarSVXMStlu5d9aJQhFqaVcXFxIS0tTSaIWkFKSlpaGi4tLhY5TbRCKUksFBQWRkJBAamqqtUNRqoCLi8tVPbPKQyUIRamlHB0dadSokbXDUGyYqmJSFEVRSqUShKIoilIqlSAURVGUUtWokdRCiFTg3E13LJ0/cKkSw6nO1O/iaur3cTX1+7iiJvwuQqWUdUvbUKMSxO0QQkTeaLh5baN+F1dTv4+rqd/HFTX9d6GqmBRFUZRSqQShKIqilEoliCsWWTsAG6J+F1dTv4+rqd/HFTX6d6HaIBRFUZRSqRKEoiiKUiqVIBRFUZRS1foEIYQYIISIFUKcEkLMsHY81iSECBZC7BJCxAghjgohnrd2TNYmhLAXQhwQQpS+IHItIoTwFkKsEUIcN/+N9LB2TNYkhJhq/n9yRAixQghRsalSq4FanSCEEPbAAmAg0Ap4RAjRyrpRWZUBeEFK2RLoDkyq5b8PgOeBGGsHYSM+BrZIKcOB9tTi34sQIhB4DoiQUrYB7IFR1o2q8tXqBAF0BU5JKeOklDpgJTDEyjFZjZQySUq53/xzDtoNINC6UVmPECIIeAD4wtqxWJsQwhPoDXwJIKXUSSkzrRqU9TkArkIIB8ANuGDleCpdbU8QgUB8idcJ1OIbYklCiDCgI7DXyqFY00fAy4DJynHYgsZAKvCVucrtCyFEHWsHZS1SykTgfeA8kARkSSm3WjeqylfbE4Qo5b1a3+9XCOEOrAWmSCmzrR2PNQghHgRSpJRR1o7FRjgAnYDPpJQdgTyg1rbZCSF80GobGgENgTpCiDHWjary1fYEkQAEl3gdRA0sJlaEEMIRLTl8K6VcZ+14rKgnMFgIcRat6vEeIcRy64ZkVQlAgpTycolyDVrCqK36AmeklKlSSj2wDrjDyjFVutqeIPYBzYQQjYQQTmiNTButHJPVCCEEWh1zjJRynrXjsSYp5StSyiApZRja38VOKWWNe0IsLyllMhAvhGhhfute4JgVQ7K280B3IYSb+f/NvdTARvtaveSolNIghJgM/ILWC2GJlPKolcOypp7AY8BhIUS0+b1XpZSbrReSYkOeBb41P0zFAU9YOR6rkVLuFUKsAfaj9f47QA2cdkNNtaEoiqKUqrZXMSmKoig3oBKEoiiKUiqVIBRFUZRSqQShKIqilEolCEVRFKVUKkEoig0QQvRRM8YqtkYlCEVRFKVUKkEoSgUIIcYIIf4WQkQLIRaa14vIFUJ8IITYL4TYIYSoa963gxDif0KIQ0KI9eb5exBCNBVCbBdCHDQf08R8evcS6y18ax6hqyhWoxKEopSTEKIl8DDQU0rZATACjwJ1gP1Syk7Ab8Cb5kOWAdOllO2AwyXe/xZYIKVsjzZ/T5L5/Y7AFLS1SRqjjWxXFKup1VNtKEoF3Qt0BvaZH+5dgRS06cBXmfdZDqwTQngB3lLK38zvfw2sFkJ4AIFSyvUAUspCAPP5/pZSJphfRwNhwB6LfypFuQGVIBSl/ATwtZTylaveFOL1a/Yra/6asqqNikr8bET9/1SsTFUxKUr57QBGCCECAIQQvkKIULT/RyPM+4wG9kgps4AMIcSd5vcfA34zr6+RIIR4yHwOZyGEW1V+CEUpL/WEoijlJKU8JoR4DdgqhLAD9MAktMVzWgshooAstHYKgMeBz80JoOTsp48BC4UQ/zafY2QVfgxFKTc1m6ui3CYhRK6U0t3acShKZVNVTIqiKEqpVAlCURRFKZUqQSiKoiilUglCURRFKZVKEIqiKEqpVIJQFEVRSqUShKIoilKq/wcquRlRR+CFbQAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_results, label='CNN')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_bn_results, label='CNN-ReLU-BN')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_res_results, label='CNN-ReLU-BN-Res')" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:50:09.087520Z", - "start_time": "2020-12-28T17:50:08.272649Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "zip_file_url = \"https://download.pytorch.org/tutorial/data.zip\"\n", - "\n", - "import requests, zipfile, io\n", - "r = requests.get(zip_file_url)\n", - "z = zipfile.ZipFile(io.BytesIO(r.content))\n", - "z.extractall()\n", - "\n", - "#Zip file is organized as data/names/[LANG].txt , where [LANG] is a specific language\n", - "\n", - "namge_language_data = {}\n", - "\n", - "#We will use some code to remove UNICODE tokens to make life easy for us processing wise\n", - "#e.g., convert something like \"Ślusàrski\" to Slusarski\n", - "import unicodedata\n", - "import string\n", - "\n", - "all_letters = string.ascii_letters + \" .,;'\"\n", - "n_letters = len(all_letters)\n", - "alphabet = {}\n", - "for i in range(n_letters):\n", - " alphabet[all_letters[i]] = i\n", - " \n", - "# Turn a Unicode string to plain ASCII, thanks to https://stackoverflow.com/a/518232/2809427\n", - "def unicodeToAscii(s):\n", - " return ''.join(\n", - " c for c in unicodedata.normalize('NFD', s)\n", - " if unicodedata.category(c) != 'Mn'\n", - " and c in all_letters\n", - " )\n", - "\n", - "\n", - "#Loop through every language, open the zip file entry, and read all the lines from the text file. \n", - "for zip_path in z.namelist():\n", - " if \"data/names/\" in zip_path and zip_path.endswith(\".txt\"):\n", - " lang = zip_path[len(\"data/names/\"):-len(\".txt\")]\n", - " with z.open(zip_path) as myfile:\n", - " lang_names = [unicodeToAscii(line).lower() for line in str(myfile.read(), encoding='utf-8').strip().split(\"\\n\")]\n", - " namge_language_data[lang] = lang_names " - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T17:50:09.095494Z", - "start_time": "2020-12-28T17:50:09.088943Z" - } - }, - "outputs": [], - "source": [ - "dataset = LanguageNameDataset(namge_language_data, alphabet)#Reusing our code from chapter 4\n", - "\n", - "train_lang_data, test_lang_data = torch.utils.data.random_split(dataset, (len(dataset)-300, 300))\n", - "train_lang_loader = DataLoader(train_lang_data, batch_size=32, shuffle=True, collate_fn=pad_and_pack)\n", - "test_lang_loader = DataLoader(test_lang_data, batch_size=32, shuffle=False, collate_fn=pad_and_pack)" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T18:11:25.854520Z", - "start_time": "2020-12-28T18:11:25.850266Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "set_seed(42)" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T18:12:37.765935Z", - "start_time": "2020-12-28T18:11:26.405661Z" + "source": [ + "del fc_model\n", + "del cnn_model" + ], + "execution_count": 13, + "outputs": [] }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "373c3c5841d04589a3ea897d73ae08b1", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:20:50.798004Z", + "start_time": "2020-12-28T17:20:50.556719Z" + }, + "id": "owIHZUVQDliP", + "outputId": "0019e51e-d8db-49b3-ef63-fa10cc575207", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 296 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "sns.lineplot(x='epoch', y='val Accuracy', data=fc_results, label='Fully Connected')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_results, label='CNN')" + ], + "execution_count": 14, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 14 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:20:51.315608Z", + "start_time": "2020-12-28T17:20:50.799334Z" + }, + "id": "tRtbqT39DliP", + "outputId": "417b8900-4ddb-4015-c47c-e3a64d09b9f8", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" + "source": [ + "def sigmoid(x):\n", + " return np.exp(activation_input)/(np.exp(activation_input)+1)\n", + "\n", + "activation_input = np.linspace(-5, 5, num=200)\n", + "tanh_activation = np.tanh(activation_input)\n", + "sigmoid_activation = sigmoid(activation_input)\n", + "\n", + "sns.lineplot(x=activation_input, y=tanh_activation, color='red', label=\"tanh(x)\")\n", + "sns.lineplot(x=activation_input, y=sigmoid_activation, color='blue', label=\"$\\sigma(x)$\")" + ], + "execution_count": 15, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 15 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:20:51.572752Z", + "start_time": "2020-12-28T17:20:51.316910Z" + }, + "id": "7dVJu1o0DliP", + "outputId": "0ee1d781-aa49-4c17-88c8-18e3c1afa2b6", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "def tanh_deriv(x):\n", + " return 1.0 - np.tanh(x)**2\n", + "def sigmoid_derivative(x):\n", + " return sigmoid(x)*(1-sigmoid(x))\n", + "\n", + "tanh_deriv = tanh_deriv(activation_input)\n", + "sigmoid_deriv = sigmoid_derivative(activation_input)\n", + "\n", + "sns.lineplot(x=activation_input, y=tanh_deriv, color='red', label=\"tanh'(x)\")\n", + "sns.lineplot(x=activation_input, y=sigmoid_deriv, color='blue', label=\"$\\sigma'(x)$\")" + ], + "execution_count": 16, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 16 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:20:51.897232Z", + "start_time": "2020-12-28T17:20:51.574036Z" + }, + "id": "llE0bcMxDliP", + "outputId": "ef495e82-aceb-4e69-df6e-75617c0f02d0", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" + "source": [ + "activation_input = np.linspace(-5, 5, num=200)\n", + "relu_activation = np.maximum(0,activation_input)\n", + "leaky_relu_activation = np.maximum(0.3*activation_input,activation_input)\n", + "\n", + "sns.lineplot(x=activation_input, y=tanh_activation, color='red', label=\"tanh(x)\")\n", + "sns.lineplot(x=activation_input, y=sigmoid_activation, color='blue', label=\"$\\sigma(x)$\")\n", + "sns.lineplot(x=activation_input, y=relu_activation, color='green', label=\"ReLU(x)\")\n", + "sns.lineplot(x=activation_input, y=leaky_relu_activation, color='purple', label=\"LeakyReLU(x)\")" + ], + "execution_count": 17, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 17 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:20:52.221153Z", + "start_time": "2020-12-28T17:20:51.898572Z" + }, + "id": "EKnI675fDliQ", + "outputId": "a7b16935-f1aa-46f9-fce8-f9cb2976177f", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "relu_deriv = 1.0*(activation_input > 0)\n", + "leaky_deriv = 1.0*(activation_input > 0) + 0.3*(activation_input <= 0)\n", + "\n", + "sns.lineplot(x=activation_input, y=tanh_deriv, color='red', label=\"tanh'(x)\")\n", + "sns.lineplot(x=activation_input, y=sigmoid_deriv, color='blue', label=\"$\\sigma'(x)$\")\n", + "sns.lineplot(x=activation_input, y=relu_deriv, color='green', label=\"ReLU'(x)\")\n", + "sns.lineplot(x=activation_input, y=leaky_deriv, color='purple', label=\"LeakyReLU'(x)\")" + ], + "execution_count": 18, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 18 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:20:52.224959Z", + "start_time": "2020-12-28T17:20:52.222555Z" + }, + "id": "YNFkoHgjDliQ" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "leak_rate = 0.1 #How much I want the LeakyReLU to \"leak\" by. Anything in [0.01, 0.3] would have been fine. " + ], + "execution_count": 19, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:20:52.234833Z", + "start_time": "2020-12-28T17:20:52.226143Z" + }, + "id": "gJ1Lw57MDliQ" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "fc_relu_model = nn.Sequential(\n", + " nn.Flatten(),\n", + " nn.Linear(D, n), nn.LeakyReLU(leak_rate),\n", + " *[nn.Sequential(nn.Linear(n, n), nn.LeakyReLU(leak_rate)) for _ in range(5)], \n", + " nn.Linear(n, classes),\n", + ")" + ], + "execution_count": 20, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:20:52.239887Z", + "start_time": "2020-12-28T17:20:52.236312Z" + }, + "id": "yR-s_wc6DliQ" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "def cnnLayer(in_filters, out_filters=None, kernel_size=3):\n", + " \"\"\"\n", + " in_filters: how many channels are coming into the layer\n", + " out_filters: how many channels this layer should learn / output, or `None` if we want to have the same number of channels as the input.\n", + " kernel_size: how large the kernel should be\n", + " \"\"\"\n", + " if out_filters is None:\n", + " out_filters = in_filters #This is a common pattern, so lets automate it as a default if not asked\n", + " padding=kernel_size//2 #padding to stay the same size\n", + " return nn.Sequential( # Combine the layer and activation into a single unit\n", + " nn.Conv2d(in_filters, out_filters, kernel_size, padding=padding), \n", + " nn.LeakyReLU(leak_rate)\n", + " )" + ], + "execution_count": 21, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:20:52.250635Z", + "start_time": "2020-12-28T17:20:52.241301Z" + }, + "id": "Tlfvz2LjDliQ" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "cnn_relu_model = nn.Sequential(\n", + " cnnLayer(C, n_filters), cnnLayer(n_filters), cnnLayer(n_filters),\n", + " nn.MaxPool2d((2,2)),\n", + " cnnLayer(n_filters, 2*n_filters), cnnLayer(2*n_filters), cnnLayer(2*n_filters), \n", + " nn.MaxPool2d((2,2)),\n", + " cnnLayer(2*n_filters, 4*n_filters), cnnLayer(4*n_filters),\n", + " nn.Flatten(),\n", + " nn.Linear(D*n_filters//4, classes),\n", + ")\n", + "#Caption: This is our generic CNN code block. Ignoring the object name, this code block can be re-purposed for many different styles of CNN hidden layers by changing the definition of the cnnLayer function. " + ], + "execution_count": 22, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:25:37.436480Z", + "start_time": "2020-12-28T17:20:52.252124Z" + }, + "tags": [ + "remove_output" + ], + "id": "qnhfdhyqDliR", + "outputId": "a4dd60c1-71bc-4847-cdc9-64fd732730d9", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 115, + "referenced_widgets": [ + "36e282f2fe1f447188520d98958a236b", + "d8b3eb8dd24d4615aa83d011dad7fca8", + "454a5285c29843d6b0b307a472478b43", + "aa04457cad79450eb6c632c063fb3092", + "bc970cdbaf6f49388023880319a1ccdc", + "95122f1596184d17aa5ef2325fa4e475", + "411b6a0ec9c94022b10cf3eed218e812", + "cf0a1abbc9f84ec19306f4bf407f8372", + "eefed54f40b6447fb19bd478e6bc5c9c", + "b69ea289879146d0bad6d52b2c8d4a92", + "8af715bd24ed41158894ceb0d9245eaf", + "4d1fcb45a25e46a38eb7642866185f48", + "730cdd7946ef4705abcde56a8880b1af", + "bcabd5f0209843c5bc2e2f071cb9c4cc", + "ebca69d37959486e9d68fa5a901567be", + "80628fffdd894ff0ad4b2461ae2c11da", + "abbc0cee771d426f830ce1c530e92da8", + "ebf1f068ead54f25be4d706c7a3bd53d", + "c088fe944bec4837927ad65d6975b15a", + "1903ec80a65445578d54e445ed573f0e", + "f9751ed48e66453591ca00c0a739a305", + "d71e18bb75cb44b7a0f628ad2aa254aa", + "5bc2b9fabfe74e8e84a0b6050f8014a8", + "da6d0ba7bd6d49209237ff11dbb5d5a3", + "a11c98caceee47a998bfc2b63cb5a6db", + "8744be2801d245978ee9a7f63a3e917b", + "f3fa6bf425664d59b303c1b7265741d7", + "6df5174db77643bd80428d4721aa17f5", + "0d9f218757834f55ac872500ee4fc80b", + "9c07e3675ee64923a20c9bc4c75acbcd", + "f5a2aab2b2114917b48eb0a85b675d75", + "1287bd673e0c411da084455a0fc7197f", + "0b2e2590d3694e9a824101d70178b41a", + "8c8522dca3f94d2db2f6eabaa4ec57a3", + "4ee74e530e5d42eb83630b537dd8c791", + "6a7a9288492d49b78b430b53cb7a2469", + "2ee1497395914cc383db90c9c9a2c6b4", + "1a902c5fd4e44429bc34b12bab82f32c", + "de4fa77293974b18abac57d877c7dacb", + "22d0aaf397c840bc8f21fca97238b319", + "813951bec2334fbaacfb2591590741f7", + "e6d4eede14874615b3aecf9136effab8", + "d0230c36f28f4b288d9ad237ae3caf75", + "619eae71b6de4a18af201aadf392a0c7", + "5d04fa1559ae4a8c9b43c0d43573c8ff", + "13079c2f5d704993a823c124574842cb", + "a5f1a699d13a4984a98b15582f0fdec2", + "3c8eeb89c3144c69bd195f7a5ca34e76", + "61eec44b53974e6a950728fdae577d5b", + "5dac42a336ea448594186cf773c3fe69", + "56fa57d00c3642c3bd0a977eafd839ef", + "075149c076034155b0dccc7cccc57add", + "e0afc479a85046dcb55d053bf7b59705", + "5dab52cd334d456cbb9e5f4a6100a31a", + "1800c13854d44d8fa5e11f516007c955", + "7bffd3a1e52d401c93a230fe1aeadada", + "0fcba680a2a8487eb60af062a5fe0895", + "75c22b2d5b7349ada6b2e18fa4ceed72", + "0c7ad0b140e7497f8bd6c633669322db", + "898ef6ecc0ae4ddeb17cd3f4220c9220", + "6320e09c04e54f01b43677363e587211", + "de95ce9dfa5b4d6f950ca54abb59614e", + "0b3f4a8968ff476d869863cda5866f55", + "3c271af491c34b1eb1a1bfaef21544f6", + "978007416ee343a3a5baa90a6d6d1c13", + "e083a4ff24144de09c6fe4471507e2a1", + "f34b64e1735d409795ea059f88fb5742", + "f9d869b2280e420d8d3bdd9907b1e862", + "b1b7b4e8080d48209ab532b3396aec3b", + "7f82b1f335a04e95bcf6944d86692606", + "1916de4f578b464b9d2fbe202dfb0e88", + "a8e33e7888e74841b05ee628313e1dfd", + "2b5cd55552df4845aeb1130bb01cff45", + "2a069e647a714d389c7221d58372f586", + "3ed4edb15987413c8cc40721a2762370", + "68b22460897c447b91cde495f9e02e84", + "14fc4a41eea6411ebf83f17678567322", + "a1d2c7066b6b4e189faeea70c4117fef", + "07589740eeb647cbb08263c2a230c5cb", + "bb94a5bc85ba45968a0f8a85b8f2c9b8", + "53b0cdb5e53e41cb96601f1ce2267d40", + "ea7cefae57a7440da4cd136a7fd906a9", + "822c8e5d685d493b92aaffe602a90a61", + "323fb7b5ffd249c5b6554af88e12df40", + "0eadc14ffe0b426d9ba6810d1a8360c5", + "12baa06a6fc743e5a637cf3e0d78a2ce", + "88ef1ecf3e134d46b5c013c1c3efd506", + "00575e455cd6486bbd4046937fc26ab5", + "989b99628bf040e18978147f055ae502", + "4153f44a24554e0db180de1a9594425c", + "e5c395ff140c4ca7a531fd9d62ea9685", + "c63364090d1b46c6bd09e7f4953bb808", + "b8a8b2f1243641ca9e99d1c2c7d817fc", + "e41e4c1a5d9a4f4293cf3915e0fed978", + "8346ae19f7f24cc4a6dece17a312fa40", + "41fa96f1e2014eedad5e9c8c07a1f2c0", + "ed68b4b99f564bd5a340c2d43c1a0553", + "c17970dd74c344bfa914a6c9c7da2c10", + "4931be9c8d144376b3d54056476570fd", + "8658997f8a3a4bce962ab30031019d86", + "39b6e349bcb64f2ab2b75719bd2a9f3d", + "c854a43ddce7412999b75ed62eb9045d", + "5410493100e949378619b5b98a86c437", + "630b7fcc5f804f4cab2e85a9f27fae73", + "e392d0acb13e4fc982cff59f19fdf2ab", + "b7d02e8e31e74f92820933aa7a55e4f0", + "a38602cf2a1944818d74c91860ff0b70", + "3a78a7c398ad4da98f372df3b11b29cc", + "e7acdadeb4804efc955fa6d087d9f7c6", + "6f1145b053164d8d8e1d183328419974", + "dc499113aaf144daa928945efdfb4bee", + "9f5beb39913145ceb940527eba66de1e", + "01f52fa08edc4211ae71d33d80595bcd", + "1b486e89662c4101ad94dfdde5c72e31", + "8e9954cd6a8548a3b06d5ae38b56fc30", + "4142846497064f0197ed9be38a929594", + "4a51abbe52754d8fb5b6cb89da19adcd", + "366225fdb3e74e0b8f2079660c6201f3", + "b211c5210a4048c9b54fa0746bd54b11", + "cd169eddedc14d7c8d0e8c0b5f279842", + "32aa417404a3499aa69590eb9e82986a", + "b50e492d8f0147b69ee23d4873473434", + "590326346397497ebbd178061f2d4baf", + "ab1c17ab00c048c1a2b57d56dbcfb356", + "8cbfc50912324e1e87c5f28f2e1b4f24", + "96f3ca898b9f477792386a6550481fad", + "4a6bd9ffde414f779e481ec9bad9b0bc", + "a92eefb7f18547e1923dc8a448f6116f", + "341d2031b2d84d5bbba1322788010e37", + "f3cb986e63464bb7862404fd80923700", + "885ba8bb659f4c578eb7575f82acbc84", + "3b9817cf7c1f4c2fbdce47024d197934", + "6dbca2b3ac864647b33991bf110cbedc", + "504a0a6461254bafb169332c4779348e", + "49649ffd54d2499996d3b7df8cb15c5a", + "267b1f1fe64f43a8897b3bbdd64500d4", + "c700a020d5054626b9f80f0c2958e6f7", + "fd47a47c7e854e8a833e25c7afdf0e07", + "3a99370681af4160a6ce141a9f908fc0", + "1e89239dc9c94fbd995358b0d7b4aaf3", + "211ce523b65f4d0084ba380808d74eaa", + "b8550abe45b3449b812b8c5f26da9a88", + "714afe0955854637926ebc2533f82cfc", + "a0f1b92e43964e17b307f4c14bb3c858", + "35074de647314a328ac0247f2f0c647f", + "4b34575665cf416da28fcfa569248040", + "5e4720ad6abf4b5cad468c421459d786", + "50a6fc3adbf4491199c337f9569e0a5b", + "9feffa3e329d425fa663a2d101b01429", + "af95426d99f047b1bb3c23c8f430cc8a", + "402220d4c0c64cf3aaeec620a748c38a", + "530e30f4ba284d45af3eafdcd7bd774e", + "c1a4815984d049c39c4c38c29e5a6b3b", + "9e34bb3f6d2b46bdab764e2400fa8a85", + "d1ff909aceb84fd6a49945d575270be0", + "6e1d7a595ca54f0aa4df67820ef0263e", + "681b243ce9764decb9c4ba85f1979ad4", + "9921eec038d94cc3bb4072f069e160e9", + "e7b5689438084fc3842eea5f7af65aa9", + "b929f782fd7f4d88b1cf1e7d17dd7322", + "bfef7035c78d44b3abef8632aa00bd88", + "24a94844433243938f69773d34bc25d4", + "525fcbf3225649ffa2be68f15962ccf1", + "56744a16325243e5a4332b11b97ef93d", + "68269e8d56814f65912e5ac24fbba497", + "ed59c4780e4e4091a23ee6680d3afc30", + "3ab603c8d91b4da89fcb72a9f4a7588a", + "920eb55d61204b46b47995c581784c39", + "6cd44851c7a94deabb2edc5c4c1ce22c", + "96724835141a463cacbecf6e9af0d62f", + "5581fad4617d4cfc88c8bf767af833ea", + "ac4c2aeb06fe46a1b54b2e5ec02e0067", + "80d94d2665df40a4903e1d4c31835415", + "72e717a6c5ff43faa4a98763b4c38d02", + "62e0fa91ff2d4b819ea25a79ef3c714a", + "e65bdbc023e44d49b6aa2bbd267a00a8", + "c50ff7029b9b4a37a4bea222a4869419", + "613fb15436ac4cc4a38e2c2459b22d86", + "50eacadb60a04982ae3d08d1beb79481", + "4099866adeed4a97994ecfb37b877c23", + "c5c29564adb1437aa08b0c1304b9a7a8", + "e0d7ef53419b4baf81ffa9238058be1d", + "8e8495a0118f4d169ec8bf85af0d8d81", + "5ffd1cae3af14c58a0e52d72964194c7", + "c88193105be54420b89b531b735b42a6", + "ae8a214f9e5a4507a042b6a0e80b28d1", + "1e1904250b964399bf3688f49a1edc5a", + "becf84a74b5a4732ac7afa406632644e", + "1e20ca1104b14d97abf3b4666a49f17c", + "19638cebe51b4753a56c7685c71d65df", + "0e83d80f95b74897a0102d5d6fa27265", + "8268d5f45f3348cc91620ff40f141d9c", + "1f8fe2d273b14133ae23f0d354091abb", + "f40fe3eff4224c389c44f95c6c1d8198", + "bf3bb492c5b84e0b9617538710897a32", + "d25af5745fd0435898ca04c3d24149e3", + "2e78ebc1c8214aa3a62aaba95e0332a2", + "f67f5e9374eb4027abd10cbd7b1c7b56", + "2697e7df617545b18e8f881e0f675be7", + "bd459460c6dd49e682dc8f54f89c2972", + "1f3c1c94e7b34573a39da5e554c82dd1", + "54ef0483eb264dc48b4092b4e09bf93c", + "44f2869196e840c081963ac54a0b4538", + "5e50724bd1d448e6b4b7b9a61973cd0c", + "10bee4e6bd6e44baa999b95b0013c740", + "c6f7663982c24095ab8b921632c9d7bf", + "8a27d1b537b84fea9e45ed3e97c641df", + "4f91f5b8e0a14b40a8ffc22b27d8cf6f", + "9fcef6f95e2947a98a90046c1f24a175", + "81ca037f8b0348ab821c0bbe408b5909", + "fd0304c15b23404e932da3f45ebf8e71", + "929a8e688bed46d1a4a3ffde280316b7", + "2b2d5a638391467080635d26cf846508", + "b13c92bcc9a349e7bda42200b75341b1", + "32a3b43516304a65b13aaec8fe036f71", + "fe430f6409c445fbbbcf82afac6774e5", + "09a009cdb10b49c992d1862c8f6c7738", + "10f53852c4854151af98135f3ed487ad", + "c7f0829afa6447b8a5d32da5e100cbc1", + "c0ab81e9a0ce4dac816e91b4eaa158cc", + "b8425542281049189454b800c1237a68", + "2016bff650484cdf80ab7dd0e7a07f42", + "aeaf74f7221b49ffb571522a7f5f53ad", + "f8748704f992457995e57ebd32f722c5", + "f87413cd2e3748cc86641d227c5d6187", + "d653c29ce6544dec8cc5a9fa379bf8e1", + "fdf13ac6ae0c4912bdb531ebdee61912", + "2fedb607d0c74ac18745154a3aee968a", + "bc8bb3a39c824219b7fd7027198838a1", + "df9a0220f5f140e5978d1511f363a029", + "9c8b59b823e248b69f293ab206a03855", + "04ce89755efe4f40889abb6102a73a07", + "234adbf5127149c493d2d30aca692a81", + "f4fec103435b4ab6a38919ba63c4e250", + "646e06771965491dac71106f61685515", + "f6c9f6e64ae849f69c0666ff0c27b045", + "dc2caa50fe944d01886e9ae02b7ce534", + "0327e03a92b6460a96bc2767ab8658b7", + "56f003a7eae24a68813ce45b1b7d79a2", + "68a59227ed554d508014a7e6f5af8cd6", + "f6c56971e9fb4e94ac88d8033d1eaa56", + "73c6308af1ac4ea6bd8808e134697726", + "6f854eb019074cc4ab5d8eed1c9d803c", + "42ad58c2c73643db9079ffab5096e8fd", + "b19d8ae95634442eb08de1814734c492", + "5392365341fa486fa7e58164c3b12d65", + "24cc2099567f479e9de776a6ac7be697", + "c2ec1d0f22464278a0f175aa71d91e35", + "c32ed970c03d431bb66a956e9d39875e", + "6eda2cba348347df99a1b3b332f5b9b3", + "a61e0ca4e519418ba7931061baf78811", + "a7f5982221bb4382ab670fa1d9cdd02f", + "ed0fcde1ab604b75888097c885217efb", + "e61ab893f15d45afbeed3b297b441a6a", + "9bbfa9afffed4218b083b299b6cb6cb2", + "ae806dc0105b4c86836c478d4d6028e2", + "ab751c1546fa4b9fa5e775ac5cbfe3e5", + "95f0925e0bec45bcb9c2169dfb17f3d2", + "3d4080ec36604ea192d4d75b3cbb4b50", + "67690bf98a84467cbdc5b8b2c789666f", + "b484b919216b448f84a88c4a2152e2ef", + "684b61cea43c4d03b02a6d450f2c02dc", + "e1775175edda4332893c001158dee499", + "0bb9306ef09847258efbb716a7f10958", + "0fe85c14dffd48a3a668a0136261077b", + "0c1db0cf091b4b9ea4af12b0edb4e030", + "2ff8d82750714af59fbdf191195a3aa3", + "efd599d1e4754d039c173217b271e6af", + "3b57b7e411714ae997cef60b77d2be59", + "55aba45900d044449374881168a45d15", + "a79311e3071f4e72a34a4f5a8c5f797c", + "be9f3fc5f54745df8cdeb72f2f7dc97b", + "51e8ae71612c4a9e95a23f34c9291bfd", + "30451b9d60634085a32487b9b7698bb0", + "fea7534cab0245bf90c6388041342670", + "40363db55523425d892dfcf346160e4b", + "c5c76db0ede7416a814ca7d5d4fd3172", + "5d0936e1d20c4d4ea2ba2b52c08e35fa", + "f445d56514d1418f80173c60f70fc40e", + "9c6b0c50cac1450892246fae469367b6", + "9a5365aeabd740fa904c1e4abb447cae", + "0ec73951c0e14e08aa4f57febc958fc9", + "4eddff85953e4a10b1cae88245b25987", + "b7750f6f6489469ea6aae537b3d71eaf", + "4120560e10e146878d90784fad095305", + "5ef635c2067f4246a96de56384ba5f2a", + "81b417e237744912bc9f12f8fe561bb5", + "7c3f81c49fce4ffca4df735b365d69ba", + "0754d62d692d4284b13bb0e7bc796bc9", + "94c4a08738b14e65ab39a94533ac1e4e", + "90d5b5e262ea488ca10e913c2e5349c1", + "52996fa6602b48d8b735cb362a2b76c8", + "663f985e222d4366a09a9830e1191bad", + "f7b47b2a06014fc2970b5a4f79e6ca91", + "02732050d57a4650b4b152d468671104", + "f69d445bb9294e7e967e148bd21bc795", + "eeac56b484824126a56ea69c31f70ff2", + "8b42dbf0702e470ea6626477a8ed1733", + "ef27e91a8f5242d7b422820ecba1aefd", + "144a48e2595d4de0b406bc3cc35d5283", + "e1bda0f8353c4e20befef468ca0a8f74", + "63ec8e391317450fad37062c8ce42009", + "55da9a2628e340e5bbb8e970aa3b24ec", + "27ab08d453c54410bb4451b4baf68a6f", + "fa52b3640ba348f198962baf4f71dde1", + "84a6a8f8fc534fbf9018e3dd114d043b", + "015422c40a434ab8adec57fedbb68d92", + "eca9b1961f5942499255e6768195a0b2", + "4c07bf583ffd40a998a26b4aecae01c1", + "7b38f77f3af04463ab6ff120100cc822", + "ead59314d24d488c9ea8f7826e715c28", + "1f52fc23de5145eeb1088dc3a6877345", + "b6532e19ca7f4ad8a6320de1b0ed8ab5", + "e8dcc120d4b4497e88a401050935069c", + "5e778bb668874a3ca9e4ee91ec7c71d1", + "6b24af23730c40fdaddbdff25e6ad724", + "ffd2cb11cb394d438d59620cb7e387a0", + "e86288009fbe470191712d9d5568d7b5", + "99f2b11fd2e949a59d1eb5f22df59cb4", + "cd0ec1c1f50c45a3a5aaa9f9e92da4d6", + "55dc0b9f32714883831332cb151729f7", + "c893e4eb9010445399e46a6c1a98045d", + "a5fa28a0b5414015a51522391041ee84", + "ecc70c1af3e447e9a2a481da6b326589", + "c22ee96a01c34e81879e7ab84e8f59d8", + "f13b309ef13d4e0c88ff14cafd7c1e9e", + "eb737e396baf4a44b0635b6585977ecc", + "76721d538f234f809765ecbfa51a3ce9", + "47316ac4a7694721ad71b7abb2bdf771", + "f7effae7d20a4905a1e7c9da4577ce70", + "f9e3361856b6434990b5fa1bb1f85288", + "53ae3e610c894dcfa9975b41efcdd849", + "37d3ba05555f4977a07833c0a1a43721", + "ed4440a25d6540c092e44e96676883fe", + "72598e01c39446618cbace253d016827", + "d4028c5ecd5d449aa0b380dd60dff6c8" + ] + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" + "source": [ + "fc_relu_results = train_network(fc_relu_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", + "del fc_relu_model\n", + "cnn_relu_results = train_network(cnn_relu_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", + "del cnn_relu_model" + ], + "execution_count": 23, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "36e282f2fe1f447188520d98958a236b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "eefed54f40b6447fb19bd478e6bc5c9c", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "abbc0cee771d426f830ce1c530e92da8", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a11c98caceee47a998bfc2b63cb5a6db", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0b2e2590d3694e9a824101d70178b41a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "813951bec2334fbaacfb2591590741f7", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "61eec44b53974e6a950728fdae577d5b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0fcba680a2a8487eb60af062a5fe0895", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "978007416ee343a3a5baa90a6d6d1c13", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2b5cd55552df4845aeb1130bb01cff45", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "53b0cdb5e53e41cb96601f1ce2267d40", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "989b99628bf040e18978147f055ae502", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ed68b4b99f564bd5a340c2d43c1a0553", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e392d0acb13e4fc982cff59f19fdf2ab", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "01f52fa08edc4211ae71d33d80595bcd", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "32aa417404a3499aa69590eb9e82986a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "341d2031b2d84d5bbba1322788010e37", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c700a020d5054626b9f80f0c2958e6f7", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "35074de647314a328ac0247f2f0c647f", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c1a4815984d049c39c4c38c29e5a6b3b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bfef7035c78d44b3abef8632aa00bd88", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6cd44851c7a94deabb2edc5c4c1ce22c", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c50ff7029b9b4a37a4bea222a4869419", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c88193105be54420b89b531b735b42a6", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1f8fe2d273b14133ae23f0d354091abb", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1f3c1c94e7b34573a39da5e554c82dd1", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9fcef6f95e2947a98a90046c1f24a175", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "09a009cdb10b49c992d1862c8f6c7738", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f87413cd2e3748cc86641d227c5d6187", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "234adbf5127149c493d2d30aca692a81", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f6c56971e9fb4e94ac88d8033d1eaa56", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c32ed970c03d431bb66a956e9d39875e", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ab751c1546fa4b9fa5e775ac5cbfe3e5", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0fe85c14dffd48a3a668a0136261077b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "51e8ae71612c4a9e95a23f34c9291bfd", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9a5365aeabd740fa904c1e4abb447cae", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0754d62d692d4284b13bb0e7bc796bc9", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "eeac56b484824126a56ea69c31f70ff2", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "fa52b3640ba348f198962baf4f71dde1", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b6532e19ca7f4ad8a6320de1b0ed8ab5", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "55dc0b9f32714883831332cb151729f7", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "47316ac4a7694721ad71b7abb2bdf771", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:25:37.717664Z", + "start_time": "2020-12-28T17:25:37.437713Z" + }, + "id": "BEC2qK6GDliR", + "outputId": "0ede2d14-6098-42a7-9490-9814f8f7e889", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 296 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "sns.lineplot(x='epoch', y='val Accuracy', data=fc_results, label='FC')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=fc_relu_results, label='FC-ReLU')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_results, label='CNN')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')" + ], + "execution_count": 24, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 24 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:25:37.726215Z", + "start_time": "2020-12-28T17:25:37.719071Z" + }, + "id": "coZeLpyLDliR" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "fc_bn_model = nn.Sequential(\n", + " nn.Flatten(),\n", + " nn.Linear(D, n), nn.BatchNorm1d(n), nn.LeakyReLU(leak_rate),\n", + " *[nn.Sequential(nn.Linear(n, n), nn.BatchNorm1d(n), nn.LeakyReLU(leak_rate)) for _ in range(5)], \n", + " nn.Linear(n, classes),\n", + ")" + ], + "execution_count": 25, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:25:37.732370Z", + "start_time": "2020-12-28T17:25:37.729429Z" + }, + "id": "b3Ub-9-WDliR" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "def cnnLayer(in_filters, out_filters=None, kernel_size=3):\n", + " if out_filters is None:\n", + " out_filters = in_filters #This is a common pattern, so lets automate it as a default if not asked\n", + " padding=kernel_size//2 #padding to stay the same size\n", + " return nn.Sequential( # Combine the layer and activation into a single unit\n", + " nn.Conv2d(in_filters, out_filters, kernel_size, padding=padding), \n", + " nn.BatchNorm2d(out_filters), #The only change, adding BatchNorm2d after our convolution! \n", + " nn.LeakyReLU(leak_rate)\n", + " )" + ], + "execution_count": 26, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:25:37.742682Z", + "start_time": "2020-12-28T17:25:37.734185Z" + }, + "tags": [ + "remove_cell" + ], + "id": "a5DSgjIWDliR" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "cnn_bn_model = nn.Sequential(\n", + " cnnLayer(C, n_filters), cnnLayer(n_filters), cnnLayer(n_filters),\n", + " nn.MaxPool2d((2,2)),\n", + " cnnLayer(n_filters, 2*n_filters), cnnLayer(2*n_filters), cnnLayer(2*n_filters), \n", + " nn.MaxPool2d((2,2)),\n", + " cnnLayer(2*n_filters, 4*n_filters), cnnLayer(4*n_filters),\n", + " nn.Flatten(),\n", + " nn.Linear(D*n_filters//4, classes),\n", + ")" + ], + "execution_count": 27, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:30:58.704784Z", + "start_time": "2020-12-28T17:25:37.743946Z" + }, + "tags": [ + "remove_output" + ], + "id": "Gogd9DH5DliR", + "outputId": "e2b0d97d-88a3-46b5-f30e-830b71f1db29", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 115, + "referenced_widgets": [ + "177b42377d044f969952d0386d5bdb2e", + "5857a8c6c86c4abc82453ab5f0594938", + "e1c9ae61263a4774bdcef2d3dfd2bf31", + "c648867cb4da4bb4aa4f7175d0ea7da7", + "91a22e2e12f440a5a39f551fd330de73", + "deffbac327864ef0ae3c90f4357ac41f", + "846d8a34f74646a8b651ad0edda78c30", + "766b99a8bbe34406961a137c4dc439a2", + "f3620167c4bd48cfa9bde3b0780d9814", + "ec52538bca23441aafffbfd0c36b95a7", + "617c3a25df35441e8a41c9d21a60b11e", + "d55f8e33b6984606ab0612bed3c77fa3", + "9d7fdef1451f46f584c94de04c044ef7", + "3f041d00725b499c969b23cdc0a184cf", + "ad5240de7c5f481891d118813080da88", + "554ef4d8b16b4b9090cc468b908ccc32", + "e053e7f5a724454482044f0ab4e46719", + "982a6373ae644f1ab586de9ee321cab9", + "b538581a342c46a4b93968c5dd7aa552", + "cd6322e3245142dab054f56fae3f5626", + "ec2256bd99894624a99ea1e32bda314f", + "e5ec20d7a9d44a3ebc5a5bcaf36fe7e4", + "ab608e3337654081ae85ff28edd0c031", + "3756aefb4fdd4439a851bb7cf52f00c6", + "beebad312d5b477192ceba38b3bf849c", + "c4bc64d139af48e382a611f310d9236c", + "c841180aa89a4663a3813a8c09610fff", + "e63a04764441461b98cb13520e7a3565", + "823d4ce46bdb43b488cd2bf77b5cfa1f", + "8fe5db7f30104a029ef6449d3c0b7163", + "33bec7f0da1c4761a3bdfa88305a663a", + "41527254f7b048f58d407a6927e79c8f", + "21715d50f2694df9b10924fb3093ff6c", + "3e200239ab8a47658613fdc5ced76e36", + "43e4bb51614a468ea2cf77e1163ce5d0", + "c376a0c956c04345862f1b0c9d87a560", + "2a22e5e85b8145098172733bb8780939", + "e4d6f40d005f4f12b81e515b84e99bb8", + "ad7fafb2f34544538899fd4adda58880", + "af903a66ba37419ebcb8439015914b23", + "023a5f45ace34efab3628b60c14c2386", + "c82e2c8a9d47443d81078c3b25592556", + "f8c8510de6e940adab2d5ebde779a6d4", + "ef9c7a75546c4279b56d03b72284e771", + "dcc529c1d4f948f3bfec665b0db3c71d", + "8f59bbd65ffd4f7d8ab1b16d691d7a0f", + "8e93be84ce1a46e49ed47c616a7b00bf", + "02b34646a58146d5b98cf3b668e0a57c", + "c935823bd8e94c808b00e0d5f73d440a", + "e72106b7320e48b2913b7627a4be0e59", + "81a76331dc63462794f11b7d756c8309", + "bc3032d1ff814b29ae92412928147902", + "a3903e61abb146d8a88a18c45140348e", + "f00cebd18c5a48e2ac8d34d1e0d93ab1", + "2e24495d72574ad4b0b92fc9cca0264a", + "a494e39fa08b4af797c60a6d86e3772e", + "d748dc810ce546b4b40e5a6184b9c2c3", + "d1d9c45d8934430cbed66c8411ddc200", + "1c8fc9d296cb410d9a3eacda7f196d26", + "fa48317111c74e4bbae3d0f2bad8deb8", + "1fd63d30edb04f1a8537774f18fc9bdf", + "ac9864a70644460187d9a9db29665e66", + "7f359b1c99f644b0a7d7ee05bfd45c1d", + "1c8d6961a9714ce8a33b7c5dc7ae6d5e", + "4f079dcd74374c69bfb903dbe9fff5d4", + "3b11a7915fcb4650939526dd17e0d0ab", + "9a14f7c46e80416ba878ffa743b3b1ec", + "c677d236bde04fe5b383d571a7af82c7", + "92151e4388a74fd3bf0f7ca3229cfc48", + "c958749210034af7bbe78ff2dfd2bf31", + "51c4b7bc6d354372972a78f272840522", + "7f58d8a6c4e046f2a886ce300fa5f493", + "9e13cd62d2d14203a854a72c735c4112", + "fe6d4151609d4bdca426eb6c9de3f677", + "3a1b398f5f964226883dd79b08ea40d5", + "60ae309d1f1848079b078086b679ddcc", + "5a6f1b7af103460c90c70726a29e463e", + "c6c0d7ae49a243668a593850d71d33aa", + "03818565192349ce811eb3b7a4048a4b", + "5059584fa5df4e30965a0c08c0400dc6", + "76a6ef7526984446834c1d16f762f5d5", + "04b015281fbc4fa1af74a6699cdec3a6", + "e118448f82794ba48ce27ca4efad6b1f", + "6441e381110342288df6941b48a840b9", + "f025c0d009f84680b54e28317a8f442c", + "db4885d3764544fa8a5b11cf90c979de", + "3e90fbd41b1147da90f370a6ab36b297", + "d3394efaee30491d8fe85b9cf3a40a68", + "5fa4fe8b23284fe2b649fd17ab2d1fd8", + "9c632340d75842b2baca77d8c983a26d", + "8f4d04a717dc4d99a10b1bdda071061a", + "34fad922fa9f445fbbf05fe8535b6bfa", + "8fbf6b04270c4494aa304dd8c20ac577", + "4c1057d6687b440daf1cb3b69cf7bda1", + "1cad8b1d4e7a4742a99d0b0f0455b9e2", + "3a586b2896b845d381b83c1e4af25cf5", + "f7f60ce828b944e6bfdb5a0ad6aaf663", + "2574da214bf1408cb87367fcf0ef966c", + "26bff52e55d64a1f9c5acbf30b3581ee", + "21078e96ff1f4424ab708f8dd611252f", + "aecf4bca62bf442faed20a70ec29c213", + "a600aa818af8471ab9170bac85032b40", + "d2c39c39f2f94c7fa31a893ce4cc597b", + "aebebed18e7f4fa6ba45abb4e689e6ca", + "5656e337a5ab47e8be3fe1d07a185245", + "9302c0ac3f634971bd9a45d62a2130fc", + "53183a7ebe0a4502b89c617fbeee8aec", + "3300b7c813904574b000699478dccc53", + "73acc991a8284ed2b4fb5bfccead73d6", + "02389d2874d34463bae9904ebd41366e", + "9e58e257bfdd4a898475a0b551688e38", + "46c6be7f62384037b4676c14e50e4a7f", + "27b589bb37b842e58308209aa713a761", + "35c60ea6f3f1407c935f5047d4668d1b", + "4388e4a8cd6f425ba9d677a940bce626", + "e0c64e918b8d4bf595eb01f819b1a847", + "6c499c8775d64cb4b4367d617abc28bb", + "57d65e3583fa4f5586d8378da765ae2d", + "e843a8e793cf43008a9203f5a28ff9bc", + "f701e9c6271844c88524c5c30187ba0e", + "15a3125e9114404ba382b18ee17b5f34", + "5badecd88f564a0d8b83dff00467ee37", + "00969c3497b741dfbee0ed9fdeb14e84", + "62d6600aff844410bd0e43e58c602d23", + "631551f8eed74635bcb576cb014b76e1", + "06a372d98c184a7aba97d25d96fb685c", + "618bbf6ea1d1422abf6eaf225a990aaa", + "48f9eb562f614ea98882ec757504cd8f", + "f2353b5619084f0dac5426545d4b1e31", + "4b773bd415894449a1d097448ea0fc91", + "a425972ada8c4e75ac0011d50f706abd", + "49eed064c9f249478aba9e7244cd3f84", + "1ac618bc9c54402dad3e2947a30fc71b", + "4c5d74b584ee40129bb00cae0799e714", + "f27ecb8e7435499b8089793a96f701af", + "a6dc0e8c4bd246c28e2537bcd54e1025", + "be42291c618343c7b5056d71a65861ac", + "9726726646354a53804d83e88e83c870", + "dfa4d10852384cb68e53ebc0a7c33b07", + "05f8bce66d7f424a9f78e7849bd57ed8", + "35f5d6deb5b540949acc8b3cfa280914", + "d1c6926b8fa4422f95004a96a5ada76b", + "431ba586100047cbb95d0f6681eeb7f5", + "9d04e5de39c848079cbdb26ff7d82447", + "44d1fff07a754caf833eca235f785d76", + "abda851ad1924dc5aba5924eea7d02d5", + "3085b9b2fb5c439ba8e4f674f381b6af", + "75510aaf9b1b4b7ba89a7824015e84d6", + "ceb5a01dc34948a28ca9712af830d2cf", + "b2f9664d06eb43a9b86f73b17a0e0992", + "03ad85724fd54e058bc508f7acf6f537", + "b4342b7bbff345f5bca4135091b02e09", + "7c8612f7d2f145958f13cc786bdf8fc9", + "bc6a2c62f22c42a8ae15b7bc040b1fd2", + "49ad1bec535443a78cd201d12c486241", + "db1cfe832d2f4a749ad80abfb22ce42f", + "f81a89fce4df4dcf866ac0a557f05f18", + "be54b8661a9d4de1b65068873160761e", + "7556680aed584b4987270d79e6a72b13", + "22f00c9539fc4e9287dbd97e18e32a2b", + "6621aa70372f40c68dddc60dbfe91211", + "20bcab1b4e5649daac29a0bd80498d08", + "748a678a2d0b4192a125b5d3e6482079", + "9a3be0fa3b41482e9bbf61eff1fe07ea", + "1baa61a2ff66405e9bc75ea0b71c38c0", + "fc91a8de083246fdb74434a8a1418623", + "176110e361274d96ac089f4e8d2c19da", + "086641f81d9640eda68320ffaf67448b", + "68e5bc32dca14e81a8468ab4e6145126", + "d1a4abae880443429f36f33cb0c84207", + "2b909cf6695c4eacba5483db30e441c7", + "8b3d6c2c84e449969a70afdc349ac0b8", + "140c6b411aa74b3b9de074854c632016", + "1487fe53cfb64c81a3a3c6688a469eea", + "4125e7ade7174070baaed5c4597382fb", + "6c17884ad2264e169bdcfd1792da2a1e", + "cdc1cc2e91de472fad162ab47cb45b79", + "9c89588462404261ac7c34bf83102ccf", + "ecf93e75d7604c09ae3962e33a02b2a5", + "e4ae14e20d1348b098ebff4fbf8e6635", + "32e08657342049b38face118191087ea", + "d283a4f2e0334f8c846ab079cb5b976b", + "9e4bc1b3c77b464a9a9573930522ff08", + "89910cf150c44718bbbefcbf5b0fea31", + "2e4c93f688ca4e288923be5db76a0a70", + "3f51c679707b42fa8dfd33201f1e91fb", + "9ed3e8dec44049ac80042ae2cd14594e", + "5e45390dbee74ec4904ace53cb12ac57", + "1c3f8408ea8c4faba8e9c7ffdb3ff94c", + "47d64ec0cc164628ae3b0ee2fb563af3", + "d214d76f6e484bde891476f4007ed4f8", + "56c2b9d788bb4d8daa087064f0b7d4ba", + "b830c276b8d543adbe46509c58ae38b0", + "1269e32eb04549829113041b0a6922e9", + "5cb498648528430fb8ad597eaa3d87b7", + "587cc234e1b24737bff1406b89362b6d", + "dbe6c36d766f4c648a2816e66f1fad52", + "695dc8e08c814e2fafb3d7e4a873c875", + "c224955bf76842b39b5bdec13d3c3502", + "0610333ea5c0442c8613a020ca912322", + "d903a34814a1403c840ed403c953a28d", + "4206da93f27247a1b899f194218c9a7f", + "bc1489c6eab44e1eb97f2a4b65757f0a", + "4c156b58c5914e75b262cd2e70dbeb8e", + "dd922e36ddf34699806281888894c5c6", + "b6e3afeb04424aac962a5ed2870a1a6f", + "282d5f4a6fdb40919c14e4dada2c2ac0", + "9bffae6b1310456785e5a90a228747e6", + "20fa1568680c48a4810863567bfa3095", + "01267d53b35649d396aef210b627c1db", + "2585122e35934482acedac73fb91e76d", + "cd4685dd1b444a428875fbdcc5fefff1", + "10c01bdbe4f942f3883c591db1dad13f", + "a41de09df7b446f8a54f8bb05e6cd58b", + "a1c379acefe5499bbb75fc3e135402c4", + "64e2c1dbfe844bb6a3b40288f1d03ed2", + "1aec78c001fb47a99ff2e73f2e153a86", + "501eb47353464cd285f450482abd5637", + "e98bad139c5c4234a1101d3e914db639", + "87bb95014c7d4bca93242fff34f8e43f", + "bc81d630ac24483cb3b7672f16f01c24", + "722af936b3aa4dbb885ab51670d38bd8", + "a90f7fd1168f4c7eb8ffe3758d0db080", + "f4df1fbeef2d4bb88b5169d2682280ed", + "75dcd2d0439841dfae6c3f17a4461eea", + "67f2ba47620a4cf6a4c84e47ae6317dd", + "eb2b0ada21dc448d9a0d0f92bbcbb887", + "410c751faf3c493b805497c6ab076940", + "719dc40410e04e02becfc046e7721a47", + "aa3330bf38cb4e8ba3bfc29bcc716c92", + "82b2475133524657bcf09e0beadcc418", + "18424a97fa6045489e903273bd20cf66", + "60ad6e1f781245faa63e79f9ef9b894c", + "4a4636f5a0304ab2a113ecbd9d01a7f6", + "23490a8a043a413794fa6e3571f833d7", + "c2221f18a4bd4435b30a13872f6d494c", + "32681c4854bf45d4897e69fec3e4828e", + "25f85a33edc349fcbb320911891556a3", + "70c62c71215d4272a92f623ab161c913", + "e06b7041c2ea4d4d93aad541741bb873", + "7fc696206dee44a9af924f979e364ad6", + "6d4dcde8b7e04ae1bab66c0d13c35c48", + "0639a0320fe84ba29899873260feb13b", + "740a87a650024e6895d65b7650b2ceb8", + "f75f1c8087f94bcc84505c0e1360a197", + "2f0072149ef14c52b3dae1b9fe7a5f33", + "0dbb697c94c0442083a504873a90a6f9", + "e27d1dab141040188694a0b17915b61a", + "1d7417a36906490a97d80fd622cec257", + "030322076d6a47bba1c29cfb1824dbf0", + "ab9ae6b11d5d44c0b36f044f9d77d50e", + "477e343cce4541619198611a2e0590ce", + "b3d26641800143a3aa0eb63d48008328", + "9b97a09a0a9e4869820059f59cce7905", + "6e4739078c564d0ba8e6a64eace2fdda", + "62b82f98a38547a09474bf02830a556c", + "97aa7a261859458a98b8b2044051883e", + "bb8de57584c54f058d23038548b39caa", + "e394def3f2df4e99bdf3d21a0d529428", + "3d36fb92f0f9426c9dfdb969b79fbe96", + "ce5bae395b7e44be914523276b2a9de4", + "ab5567ec2b9a411590752d620cbf8ab8", + "9e194c7143c64390ac51630573eda9f7", + "178e31595086459592c7ff6d6d3aa549", + "7162694f8eab43cbb10dc537b158277a", + "2e28ff75213b4c5d9427f1ac9df36924", + "cfd585d6f72a4381921354cad93cccdf", + "5eeb67ee135f4a9ba3891918d9a27408", + "7d25cd44f3924cfbbb45b67e8f3da8a1", + "036f9b05a6d04b669dd5aebd0a58a60a", + "2dc42a881d10414f91ca1bd93b5ef6ea", + "8d6e8a0b7f864509bbb94eb38cd4d56b", + "6295490350504e3397faa0aedacb55b6", + "42c2ce9ada09471f9dd3f336cc44b58f", + "0504e1a364254ece81c38fd112f20a4a", + "089ae6f4cfb64ca0b7e5755fc0be589b", + "2251b3e4edff4a1e880d4b77eb4adc5d", + "a62610f58513448c8f832f36eab308cf", + "f7353136a61d4910a05c2690381ac5f2", + "9ebdcbfc304a4ee88b48ea8dccfd2301", + "a8a97bb80bd6452a8ad67940384ed27b", + "bca435052d4b4c748ed81d7f9f017711", + "7755574fe72940d2b62870b39df7852c", + "7c8622fe8da041029e1f969b4d4f2588", + "f543bfbe495947c887ae0c569d994bed", + "2d49d48b3d27406d8a042bc259bac437", + "1bd50851f2084e3f88c2cd48510a55f4", + "15fba92d6e1747dabf982aa711c0993a", + "575e8c07426142e683690c80a13faeaa", + "c17d4e8e631642f2ad4cbb59e297d53f", + "2ce1067c036a428bae527ded5d13d172", + "529d92acc63e4c0bb47edb6a71be3072", + "f822810b599441238696008e0709b519", + "5492e608060c41e09f93e2520525add2", + "f43b1df9b12d426bb7a4d10e3258d872", + "a37a70b8523a42d4a81f552764bac309", + "55a40bf8ea7740aebb05f3071730ba06", + "fce34d3856b24b8d97002c9b3dfd7af3", + "97136816ccbd4ed69efe6942bb0f7419", + "8b31d67d91a04704b106c151acee2353", + "7fbcb3b2fc6e40c08b884a82d37498bf", + "0462eededce042ef9cd1c45f1699c59e", + "5d8f496870e8460d8ff696949239ac3a", + "9b01f510f3ec49bba5cde76f5a877327", + "b4c4e6cd25af43a1989ae0538cfc5072", + "e038836de88448d988bf103f787fd9f7", + "f4c8a695de354d0aa13a765c817f5ea1", + "1463b7d66aff4da5ae6d13947d5c780c", + "f62da288c46e49efa4e7896795d50509", + "c8cec9c6d2ee4f9896b34091877ae401", + "814dd707ed9d4fee8bed8c929c11f10e", + "81d4244b8d0d470384a95545d76316f5", + "d869036df9154cc082539894e0eeaba9", + "cd23c154120f4867a42d50afb8979f5c", + "782ba86d233f450595042962cd09bdae", + "50d7ad7e8c4c4ade807f24b31e9d1fdf", + "c8943b5a9ad441d59fe54de62bacf0fc", + "cdcb8ac9f6fb438db7e18397a0ecb960", + "1939932c946c4272983f4f4eb923543e", + "6aafa71fc7804e2cacf411ce31e54318", + "17e11c79f70a45e08be4c39e18d21d52", + "89078089501e441a91b31a68a1b33f27", + "dbc773290d1b4e8f9e94e6b39107b96e", + "2c85786413a942f489609583f264ff02", + "5af4a980f2294cdcb54b497e2fd66584", + "df7695f0534f429b8c268a6537a85b32", + "e8cd75928afd449384c5780e98b4ab71", + "3a10fb78b55f4c11ba1d9721cd674218", + "819d10e9175c40248cc4acb23166c557", + "ecbf52c8acaa48068ba29fb3b95d2d01", + "778cbf04039c4cd9bbf2ed751c873fc4", + "9f15e58c3e164d178b660b90775c33f2", + "c6713ac8f0c44025b309d42cfc299270", + "aa114dad86e141169b293a4604d07100", + "125ffd57a9c54aacbe185a2b1f75f84f", + "76db257f4b7c4b4b8fc03aca7451562b" + ] + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "fc_bn_results = train_network(fc_bn_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", + "del fc_bn_model\n", + "cnn_bn_results = train_network(cnn_bn_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", + "del cnn_bn_model" + ], + "execution_count": 28, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "177b42377d044f969952d0386d5bdb2e", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f3620167c4bd48cfa9bde3b0780d9814", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e053e7f5a724454482044f0ab4e46719", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "beebad312d5b477192ceba38b3bf849c", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "21715d50f2694df9b10924fb3093ff6c", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "023a5f45ace34efab3628b60c14c2386", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c935823bd8e94c808b00e0d5f73d440a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d748dc810ce546b4b40e5a6184b9c2c3", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4f079dcd74374c69bfb903dbe9fff5d4", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9e13cd62d2d14203a854a72c735c4112", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "76a6ef7526984446834c1d16f762f5d5", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5fa4fe8b23284fe2b649fd17ab2d1fd8", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f7f60ce828b944e6bfdb5a0ad6aaf663", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5656e337a5ab47e8be3fe1d07a185245", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "27b589bb37b842e58308209aa713a761", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "15a3125e9114404ba382b18ee17b5f34", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f2353b5619084f0dac5426545d4b1e31", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "be42291c618343c7b5056d71a65861ac", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "44d1fff07a754caf833eca235f785d76", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7c8612f7d2f145958f13cc786bdf8fc9", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6621aa70372f40c68dddc60dbfe91211", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "68e5bc32dca14e81a8468ab4e6145126", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cdc1cc2e91de472fad162ab47cb45b79", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2e4c93f688ca4e288923be5db76a0a70", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b830c276b8d543adbe46509c58ae38b0", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d903a34814a1403c840ed403c953a28d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "20fa1568680c48a4810863567bfa3095", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1aec78c001fb47a99ff2e73f2e153a86", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "75dcd2d0439841dfae6c3f17a4461eea", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "60ad6e1f781245faa63e79f9ef9b894c", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7fc696206dee44a9af924f979e364ad6", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1d7417a36906490a97d80fd622cec257", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "97aa7a261859458a98b8b2044051883e", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7162694f8eab43cbb10dc537b158277a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6295490350504e3397faa0aedacb55b6", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a8a97bb80bd6452a8ad67940384ed27b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "575e8c07426142e683690c80a13faeaa", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "55a40bf8ea7740aebb05f3071730ba06", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b4c4e6cd25af43a1989ae0538cfc5072", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d869036df9154cc082539894e0eeaba9", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "17e11c79f70a45e08be4c39e18d21d52", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "819d10e9175c40248cc4acb23166c557", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:30:58.997886Z", + "start_time": "2020-12-28T17:30:58.706126Z" + }, + "id": "NAfWx41CDliS", + "outputId": "78fddaf4-9d52-4ed6-8f6b-9d8d73e7492e", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 296 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" + "source": [ + "sns.lineplot(x='epoch', y='val Accuracy', data=fc_relu_results, label='FC-ReLU')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=fc_bn_results, label='FC-ReLU-BN')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_bn_results, label='CNN-ReLU-BN')" + ], + "execution_count": 29, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 29 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "JVBERi0xLjQKJazcIKu6CjEgMCBvYmoKPDwgL1BhZ2VzIDIgMCBSIC9UeXBlIC9DYXRhbG9nID4+CmVuZG9iago4IDAgb2JqCjw8IC9FeHRHU3RhdGUgNCAwIFIgL0ZvbnQgMyAwIFIgL1BhdHRlcm4gNSAwIFIKL1Byb2NTZXQgWyAvUERGIC9UZXh0IC9JbWFnZUIgL0ltYWdlQyAvSW1hZ2VJIF0gL1NoYWRpbmcgNiAwIFIKL1hPYmplY3QgNyAwIFIgPj4KZW5kb2JqCjEwIDAgb2JqCjw8IC9Bbm5vdHMgWyBdIC9Db250ZW50cyA5IDAgUgovR3JvdXAgPDwgL0NTIC9EZXZpY2VSR0IgL1MgL1RyYW5zcGFyZW5jeSAvVHlwZSAvR3JvdXAgPj4KL01lZGlhQm94IFsgMCAwIDM5Mi4xMzc1IDI2Mi4xODM3NSBdIC9QYXJlbnQgMiAwIFIgL1Jlc291cmNlcyA4IDAgUgovVHlwZSAvUGFnZSA+PgplbmRvYmoKOSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDExIDAgUiA+PgpzdHJlYW0KeJylV8tu3TYQ3esruGwXpufF19JOGwNBYSCpiy6KLoIbx6lhp22CJujf91BXuqTk+6hbw4apEcUzczg8M2R3P5xfsLv77Mjd4++r+8X9iv/vHLsrd/7d7ZffNrdvri7d5vNwRnjxOGgRz5oCHh7ag0QMch091In944dh+DgAAx9cYdm7YQi0/UiTD1YHWDWbLwvbQ7NJwGBabf62twHhPeKQbRx3AEEsPnfRVGi8GWLwGkLM0mN3RvM0gQ+X8PnrcHnjzl+yY3I374caVAqlmDImi/gS3M274Rv61t3cu+9vhhF0YMWbImSLCHvrcRiW4jOLhlQCZjccWeIIkY+SjUqP01tP4JTkzXISDgWzG46tcGL2Ei0lXeB01uM4AoIpB/yKYHbDiUsc1eALMWtcZEZnPY6jYBjBIKQcMbvh5Bln6RaJV1KW4IqXlOugzr794/fNh6Vnc9KZ+kRJROCXRR+XtgPRY4nEuaZ28YVJLTHnbd74bPuBknjwZcU6oGY7BYSdAUbkHAv4npDifiQmBgslxdBBdcZTWMihwJILSYpxxsoHsBQDBgWpx2rGU1gs0StbjSyEMoEVOgAWMugWpdyDNeNJsBDgF7JQTcPMYpEDYDmBcg0LrJ3tJFRWeBUTBWKbSSwHUkM4gnHDYeqwOuMpMGGcEk51c4vuSDyQHWLQRvAt2oM140kwY/hVxDInlRls/3kk6PYZQ6bZfBp1nzHSEkOsJ/NxqPWnrvDl7YO72Gz++vR28/e80p/uSVHBxiEW4Spy7tOt+9l9dOJeOXiEyoDZ0L2Yo9RS5i1OPwkMYCNyhv5KcW/WVbCrFoaVIWg5gptSUBowNJfZx4ADUdO503ym6JHjJdXjyzFC4QlyiBjVZ82oKLB32s2SEHsuXNcRhGKGDQNXOhYhHLlqbxqM3cCm5DQeI4W0UZYSwjg/YX6ouJ2WMjYRIpEkVnsseCjVCQ5aDzSNp/HH4bV7NrNc6SyZ0BtwqHRSMICWiEN3jM6cvSblUfManZUfwS6NsrfgEyfZBCSu+ETGFUbkaz4hM0kDRVvzmbA+3tiKz4DqoJHGfen5hCwQ0lnzis+YqrIkWvOJIUdKkf8zoZidZOJwqAElCwSCbfHmKLdQ6SIh8jJVkUQ+mUAKVtzWGIlqWEtuKz1jw7DiFjkfYkHFWHELWBI0TLziFi4oRSqy5FYYexdsrDodtYLUDqiaUZbUCvoknFJj/R/U5jFNoQMKarHpxXAoYpWESR0s8FFq2aRKXMhhyW2qmg5uecUtOuaoVQhW3IIrdBE09hEdt+hnKicp65LbyhUVggovuRUFLtofWXOL7iOJ5nGve3KhA4y9ZluRa+TRqhSyRm7ljZ701ktm9vT2+1p2rPi05X/c3/Jj7r+8MXQz2wKHVz2/0O2V4VW9l+BvTIj5liIJOzJ2hXWHZ1QYx6V2NrCWav9IWbVZq61M7SFEyiDjzWTTpM2wsyEJkMsV7KE3IvGjhayuw8Bq09SdM8206dxuVmRIisicVMtJM6P07abukHqjdKvO1p33D71xF2UHtCNjD5Obemm7nC9t44FEYm0P5e7SdqhEu1WJHpYpKOBqC1fiNhlwWylr25gBNGb0tPXTHXF5p6DZ9fHcpu0V4eWLsze3P/w0Nx+Hap87Xvuan9BP27Y5vafN+lxfa15MbVPz9uzy+qnDiwryjNrSfIeEbbu13vWd8bmeRyRSmWl+cX19gOdet90zdLu5jfKO7Morv5v1uY5bBnnjl73nHeevh38AdgqOtAplbmRzdHJlYW0KZW5kb2JqCjExIDAgb2JqCjEzMzAKZW5kb2JqCjE2IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggODggPj4Kc3RyZWFtCnicNYy7DcAwCER7prgR+DiA94lSkf3bEFsuuHvSE+c5wMg+D0foxC1kQ+GmeEk5oT5RNFpvOrZIc7+8ZDMXFf0z3H2F7eaAZDRJ5CHR5XLlWSl6PpfaG34KZW5kc3RyZWFtCmVuZG9iagoxNyAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDI1OSA+PgpzdHJlYW0KeJw9UklywzAMu/sVfAJ3Se9Jpyfn/9cC9NSXEGOKAAimd4vK2fhpK1l+5McuO0sit3wHbZP7iqoHpG6CzCXHJVeIWcrnSpBYtJSZWJ+pDsrPNahV+MJPzExMhyQRS8hJPYqwfl4H96B+vaTzW2T8o2OD0luSTAWdGu6Vo5TYsFSfGuQeNN2UVp+ZdmUHLI03ZKUmdfr10+MHSzClLxLRQYjEn+RyhywLKQfxdq7eQHhXuyDVUysPO0Saj5HeUgWrOTMBS0bTDiNgbdaYIFUCvEVrCLQW4vKFTisiPjk3dDBNVZ6FyLBS4Vh7z2gNF7qGvNJwepJx//kfvCve1+8f2vNmZAplbmRzdHJlYW0KZW5kb2JqCjE4IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjMyID4+CnN0cmVhbQp4nDVRO3IFMQjrfQpdIDPmb59nM69K7t9GsJNmYQEJCec92IjElxjSHeWKb1mdZhl+J4u8+FkpnLwXUYFURVgh7eBZzmqGwXMjU+ByJj7LzCfTYscCqok4zo6cZjAIMY3raDkdZpoHPSHXByNu7DTLVQxpvVuq1/da/lNF+ci6m+XWKZtaqVv0jD2Jy87rqS3tC6OO4qYg0uFjh/cgX8ScxUUn0s1+M+WwkjQEpwXwIzGU6tnhNcLEz4wET9nT6X2Uhtc+aLq+dy/oyM2ETOUWykjFk5XGmDFUvxHNJPX9P9CzPn+aMFRHCmVuZHN0cmVhbQplbmRvYmoKMTkgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA3NCA+PgpzdHJlYW0KeJwzNTdVMFCwtAASpobmCuZGlgophlxAPoiVywUTywGzzEzMgCxDS2SWibEhkGViYYbEMjaxgMoiWAZAGmxNDsz0HK40AANxGJMKZW5kc3RyZWFtCmVuZG9iagoyMCAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDU5ID4+CnN0cmVhbQp4nDM1NVcwULC0ABKmpkYK5kaWCimGXEA+iJXLZWhpDmblgFkWxkAGSBmcYQCkwZpzYHpyuNIAqeEQWgplbmRzdHJlYW0KZW5kb2JqCjIxIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggNzUgPj4Kc3RyZWFtCnicNY2xEcAwCAN7pmAEywET9smlwvu3CfhopBccyOTmwZ6ydLBN5wf056RN80JRkKow0HRmfXFo5A5WDhdeaEqviujPQe8HmeoXmgplbmRzdHJlYW0KZW5kb2JqCjIyIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjI3ID4+CnN0cmVhbQp4nEWQS44DIRBD95zCR6D+cJ6OsurcfzsuOtFssCUo1zO5AxN78chMlG68ZLg7zBWf4Rkwc/hKmGzETOhOXCOUrhThVJ8IjsvevOmgiXtEzqOeBVnVzg1qAWeS5oLtgi7njBU3zsmtRuXN9KPXEL5pdx/XeYf2SOPew1S+zjnVzruKCGkLWdW0vpBsFMkOaz8qTdvOyxCx4GwaVugc3gi7V3cnSxh+v/IwJRM/D936UXxdN6PrFGcnVyZrz3noSelf9cqjD8VxKegXse3MJPdfp1OSqVN7Z+9p/ae4x/sPkG5WOQplbmRzdHJlYW0KZW5kb2JqCjIzIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTUzID4+CnN0cmVhbQp4nDWPyw3EMAhE765iGliJryH1ZJVTtv/rgp1IRjzZM2MIFRAy8GHFNEfIgS+Pumn6Dc656F4kVQ9RVhHYGSIJ5sA5xCdSoSSYE1pV5xxWAQUW3q9O+shdeQW47cDVsx1N+9t3qE0S9hBHYkr5KeB160fbJCoa5rkW6gG612ClaBKyFrDHNjDTSqh9O7BaK893/3tcf/J4NoYKZW5kc3RyZWFtCmVuZG9iagoyNCAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDMwNCA+PgpzdHJlYW0KeJw9kjuSwzAMQ3udghfIjPiT5PNkJ5X3/u0+MslWgEmJACgvdZmypjwgaSYJ/9Hh4WI75XfYns3MwLVELxPLKc+hK8TcRfmymY26sjrFqsMwnVv0qJyLhk2TmucqSxm3C57DtYnnln3EDzc0qAd1jUvCDd3VaFkKzXB1/zu9R9l3NTwXm1Tq1BePF1EV5vkhT6KH6UrifDwoIVx7MEYWEuRT0UCOs1yt8l5C9g63GrLCQWpJ57MnPNh1ek8ubhfNEA9kuVT4TlHs7dAzvuxKCT0StuFY7n07mrHpGps47H7vRtbKjK5oIX7IVyfrJWDcUyZFEmROtlhui9We7qEopnOGcxkg6tmKhlLmYlerfww7bywv2SzIlMwLMkanTZ44eMh+jZr0eZXneP0BbPNzOwplbmRzdHJlYW0KZW5kb2JqCjI1IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjMwID4+CnN0cmVhbQp4nDVRSW7DMAy86xXzgQDiLr/HQU/t/68d0glgYGhLnM0RGxsReInBz0HkxlvWjJr4m8ld8bs8FR4Jt4InUQRehnvZCS5vGJf9OMx88F5aOZMaTzIgF9n08ETIYJdA6MDsGtRhm2kn+oaEz45INRtZTl9L0EurEChP2X6nC0q0rerP7bMutO1rTzjZ7aknlU8gnluyApeNV0wWYxn0ROUuxfRBqrOFnoTyonwOsvmoIRJdopyBJwYHo0A7sOe2n4lXhaB1dZ+2jaEaKR1P/zY0NUki5BMlnNnSuFv4/p57/fwDplRTnwplbmRzdHJlYW0KZW5kb2JqCjI2IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjQ1ID4+CnN0cmVhbQp4nEVQu41DMQzrPQUXCGD9LHued0iV2789SkZwhSFaP5JaEpiIwEsMsZRv4kdGQT0LvxeF4jPEzxeFQc6EpECc9RkQmXiG2kZu6HZwzrzDM4w5AhfFWnCm05n2XNjknAcnEM5tlPGMQrpJVBVxVJ9xTPGqss+N14GltWyz05HsIY2ES0klJpd+Uyr/tClbKujaRROwSOSBk0004Sw/Q5JizKCUUfcwtY70cbKRR3XQydmcOS2Z2e6n7Ux8D1gmmVHlKZ3nMj4nqfNcTn3usx3R5KKlVfuc/d6RlvIitduh1elXJVGZjdWnkLg8/4yf8f4DjqBZPgplbmRzdHJlYW0KZW5kb2JqCjI3IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMzkyID4+CnN0cmVhbQp4nD1SS24FMQjbzym4QKXwTXKeqd7u3X9bm8xUqgovA7YxlJcMqSU/6pKIM0x+9XJd4lHyvWxqZ+Yh7i42pvhYcl+6hthy0ZpisU8cyS/ItFRYoVbdo0PxhSgTDwAt4IEF4b4c//EXqMHXsIVyw3tkAmBK1G5AxkPRGUhZQRFh+5EV6KRQr2zh7yggV9SshaF0YogNlgApvqsNiZio2aCHhJWSqh3S8Yyk8FvBXYlhUFtb2wR4ZtAQ2d6RjREz7dEZcVkRaz896aNRMrVRGQ9NZ3zx3TJS89EV6KTSyN3KQ2fPQidgJOZJmOdwI+Ge20ELMfRxr5ZPbPeYKVaR8AU7ygEDvf3eko3Pe+AsjFzb7Ewn8NFppxwTrb4eYv2DP2xLm1zHK4dFFKi8KAh+10ETcXxYxfdko0R3tAHWIxPVaCUQDBLCzu0w8njGedneFbTm9ERoo0Qe1I4RPSiyxeWcFbCn/KzNsRyeDyZ7b7SPlMzMqIQV1HZ6qLbPYx3Ud577+vwBLgChGQplbmRzdHJlYW0KZW5kb2JqCjI4IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggOTAgPj4Kc3RyZWFtCnicTY1BEsAgCAPvvCJPUETQ/3R60v9fq9QOvcBOAokWRYL0NWpLMO64MhVrUCmYlJfAVTBcC9ruosr+MklMnYbTe7cDg7LxcYPSSfv2cXoAq/16Bt0P0hwiWAplbmRzdHJlYW0KZW5kb2JqCjI5IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTYzID4+CnN0cmVhbQp4nEWQuXUEMQxDc1WBEniAOuoZP0ez/acLabzeQPp4hHiIPQnDcl3FhdENP962zDS8jjLcjfVlxviosUBO0AcYIhNXo0n17YozVOnh1WKuo6JcLzoiEsyS46tAI3w6ssdDW9uZfjqvf+wh7xP/KirnbmEBLqruQPlSH/HUj9lR6pqhjyorax5q2r8IuyKUtn1cTmWcunsHtMJnK1f7fQOo5zqACmVuZHN0cmVhbQplbmRvYmoKMzAgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA1MiA+PgpzdHJlYW0KeJwzNjNUMFAwsVQwMjZRMDY0AmIThRRDLqAIiJXLBRPLAbNAqnK4oMpzYKpyuNIA6QkNwAplbmRzdHJlYW0KZW5kb2JqCjMxIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggNDUgPj4Kc3RyZWFtCnicMzK3UDBQsDQBEoYWJgrmZgYKKYZclhBWLhdMLAfMAtGWcAoingYAn30MtQplbmRzdHJlYW0KZW5kb2JqCjMyIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMzIwID4+CnN0cmVhbQp4nDVRu3HFMAzrNQUX8J34lTSPc6/K278NQDsVYRoEQKq8ZEq5XOqSVbLC5EeH6hRN+T5gpvwO9ZDj6B7ZIbpT1pZ7GAjLxDyljlhNlnu4BYEvDE2JuYXz9wjoKwajMBOBusXfP0CzJDBpcPBTkGutWmKJDjwsFlizK8ytGilUyFV8Oza5BwVycbPQpxyaFLfcgvBliGRHarGvy2Up8rv1CRiEFeaITxSJheeBDmYi8ScDYnv22WJXVy+qERnWSYcHUgTSbG4SMDRFsuqDG9hXxzU/T0fZwclBv4rB+DY4mS9JeV8FoRCPF/4Oz9nIsZJDJBTyfbXAiCNsgBGhT+0jEGUgNEX37plSPiZViu8ARiEcfapXMrwXkdlqhs3/GV3ZKgoGVVkfn0ZwJoNJOPNkowrTUrXTv/vc4/MHY2N6gAplbmRzdHJlYW0KZW5kb2JqCjMzIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjE0ID4+CnN0cmVhbQp4nD1QuxFDMQjrPQUL5M587TfPy6XL/m0knKRCNkISlJpMyZSHOsqSrClPHT5LYoe8h+VuZDYlKkUvk7Al99AK8X2J5hT33dWWs0M0l2g5fgszKqobHdNLNppwKhO6oNzDM/oNbXQDVocesVsg0KRg17YgcscPGAzBmROLIgxKTQb/rXL3UtzvPRxvooiUdPCu+eX0y88tvE49jkS6vfmKa3GmOgpEcEZq8op0YcWyyEOk1QQ1PQNrtQCu3nr5N2hHdBmA7BOJ4zSlHEP/1rjH6wOHilL0CmVuZHN0cmVhbQplbmRvYmoKMzQgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAyMzYgPj4Kc3RyZWFtCnicTVBLbkQhDNtzilzgSSQhAc5D1VXn/tuxw1TtKoYYf0gP6bJVHutTYnWJ7PKlTZfKMnkVqOVP2/9RDAJu/9DIQbS3jJ1i5hLWxcIkPOU0Ixsn1ywfjztPG2aFxsSN450uGWCfFgE1W5XNgTltOjdAupAat6qz3mRQDCLqQs0Hky6cp9GXiDmeqGBKdya1kBtcPtWhA3FavQq5Y4uTb8QcWaHAYdBMcdZfAdaoybJZyCBJhiHOfaN7lAqNqMp5KxXCD5OhEfWG1aAGlbmFoqnlkvwd2gIwBbaMdekMSoGqAMHfKqd9vwEkjV1TCmVuZHN0cmVhbQplbmRvYmoKMzUgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA0OSA+PgpzdHJlYW0KeJwzNrRQMFAwNDAHkkaGQJaRiUKKIRdIAMTM5YIJ5oBZBkAaojgHriaHKw0AxugNJgplbmRzdHJlYW0KZW5kb2JqCjM2IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTU3ID4+CnN0cmVhbQp4nEWQuRFDMQhEc1VBCRKwCOqxx9F3/6kX+Uq0bwAth68lU6ofJyKm3Ndo9DB5Dp9NJVYs2Ca2kxpyGxZBSjGYeE4xq6O3oZmH1Ou4qKq4dWaV02nLysV/82hXM5M9wjXqJ/BN6PifPLSp6FugrwuUfUC1OJ1JUDF9r2KBo5x2fyKcGOA+GUeZKSNxYm4K7PcZAGa+V7jG4wXdATd5CmVuZHN0cmVhbQplbmRvYmoKMzcgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAzMTcgPj4Kc3RyZWFtCnicNVJLckMxCNu/U3CBzpi/fZ50smruv62EJyuwLUBCLi9Z0kt+1CXbpcPkVx/3JbFCPo/tmsxSxfcWsxTPLa9HzxG3LQoEURM9+DInFSLUz9ToOnhhlz4DrxBOKRZ4B5MABq/hX3iUToPAOxsy3hGTkRoQJMGaS4tNSJQ9Sfwr5fWklTR0fiYrc/l7cqkUaqPJCBUgWLnYB6QrKR4kEz2JSLJyvTdWiN6QV5LHZyUmGRDdJrFNtMDj3JW0hJmYQgXmWIDVdLO6+hxMWOOwhPEqYRbVg02eNamEZrSOY2TDePfCTImFhsMSUJt9lQmql4/T3AkjpkdNdu3Csls27yFEo/kzLJTBxygkAYdOYyQK0rCAEYE5vbCKveYLORbAiGWdmiwMbWglu3qOhcDQnLOlYcbXntfz/gdFW3ujCmVuZHN0cmVhbQplbmRvYmoKMzggMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxNyA+PgpzdHJlYW0KeJwzNrRQMIDDFEMuABqUAuwKZW5kc3RyZWFtCmVuZG9iagozOSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDI0OCA+PgpzdHJlYW0KeJwtUTmSA0EIy+cVekJz0++xy5H3/+kKygGDhkMgOi1xUMZPEJYr3vLIVbTh75kYwXfBod/KdRsWORAVSNIYVE2oXbwevQd2HGYC86Q1LIMZ6wM/Ywo3enF4TMbZ7XUZNQR712tPZlAyKxdxycQFU3XYyJnDT6aMC+1czw3IuRHWZRikm5XGjIQjTSFSSKHqJqkzQZAEo6tRo40cxX7pyyOdYVUjagz7XEvb13MTzho0OxarPDmlR1ecy8nFCysH/bzNwEVUGqs8EBJwv9tD/Zzs5Dfe0rmzxfT4XnOyvDAVWPHmtRuQTbX4Ny/i+D3j6/n8A6ilWxYKZW5kc3RyZWFtCmVuZG9iago0MCAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDE3MSA+PgpzdHJlYW0KeJxNkE0OQiEQg/ecohcwofMDj/NoXOn9t3bw+eKC9EshQ6fDAx1H4kZHhs7oeLDJMQ68CzImXo3zn4zrJI4J6hVtwbq0O+7NLDEnLBMjYGuU3JtHFPjhmAtBguzywxcYRKRrmG81n3WTfn67013UpXX30yMKnMiOUAwbcAXY0z0O3BLO75omv1QpGZs4lA9UF5Gy2QmFqKVil1NVaIziVj3vi17t+QHB9jv7CmVuZHN0cmVhbQplbmRvYmoKNDEgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA3MiA+PgpzdHJlYW0KeJw1jLERwDAIA3um0Ag2WGDvk0tF9m9DfE4DLx0Pl6LBWg26giNwdan80SNduSlFl2POguFxql9IMUY9qCPj3sdPuV9wFhJ9CmVuZHN0cmVhbQplbmRvYmoKNDIgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzggPj4Kc3RyZWFtCnicPY9BDgMxCAPveYU/ECl2Qljes1VP2/9fS5rdXtAIjDEWQkNvqGoOm4INx4ulS6jW8CmKiUoOyJlgDqWk0h1nkXpiOBjcHrQbzuKx6foRu5JWfdDmRrolaIJH7FNp3JZxE8QDNQXqKepco7wQuZ+pV9g0kt20spJrOKbfveep6//TVd5fX98ujAplbmRzdHJlYW0KZW5kb2JqCjQzIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjEwID4+CnN0cmVhbQp4nDVQyw1DMQi7ZwoWqBQCgWSeVr11/2tt0DthEf9CWMiUCHmpyc4p6Us+OkwPti6/sSILrXUl7MqaIJ4r76GZsrHR2OJgcBomXoAWN2DoaY0aNXThgqYulUKBxSXwmXx1e+i+Txl4ahlydgQRQ8lgCWq6Fk1YtDyfkE4B4v9+w+4t5KGS88qeG/kbnO3wO7Nu4SdqdiLRchUy1LM0xxgIE0UePHlFpnDis9Z31TQS1GYLTpYBrk4/jA4AYCJeWYDsrkQ5S9KOpZ9vvMf3D0AAU7QKZW5kc3RyZWFtCmVuZG9iagoxNCAwIG9iago8PCAvQmFzZUZvbnQgL0RlamFWdVNhbnMgL0NoYXJQcm9jcyAxNSAwIFIKL0VuY29kaW5nIDw8Ci9EaWZmZXJlbmNlcyBbIDMyIC9zcGFjZSA0NSAvaHlwaGVuIC9wZXJpb2QgNDggL3plcm8gNTAgL3R3byA1MiAvZm91ciA1NCAvc2l4IDU2IC9laWdodAovbmluZSA2NSAvQSAvQiAvQyA3MCAvRiA3NiAvTCA3OCAvTiA4MiAvUiA4NSAvVSA5NyAvYSA5OSAvYyAxMDEgL2UgMTA0IC9oCjEwOCAvbCAxMTEgL28gL3AgMTE0IC9yIDExNyAvdSAvdiAxMjEgL3kgXQovVHlwZSAvRW5jb2RpbmcgPj4KL0ZpcnN0Q2hhciAwIC9Gb250QkJveCBbIC0xMDIxIC00NjMgMTc5NCAxMjMzIF0gL0ZvbnREZXNjcmlwdG9yIDEzIDAgUgovRm9udE1hdHJpeCBbIDAuMDAxIDAgMCAwLjAwMSAwIDAgXSAvTGFzdENoYXIgMjU1IC9OYW1lIC9EZWphVnVTYW5zCi9TdWJ0eXBlIC9UeXBlMyAvVHlwZSAvRm9udCAvV2lkdGhzIDEyIDAgUiA+PgplbmRvYmoKMTMgMCBvYmoKPDwgL0FzY2VudCA5MjkgL0NhcEhlaWdodCAwIC9EZXNjZW50IC0yMzYgL0ZsYWdzIDMyCi9Gb250QkJveCBbIC0xMDIxIC00NjMgMTc5NCAxMjMzIF0gL0ZvbnROYW1lIC9EZWphVnVTYW5zIC9JdGFsaWNBbmdsZSAwCi9NYXhXaWR0aCAxMzQyIC9TdGVtViAwIC9UeXBlIC9Gb250RGVzY3JpcHRvciAvWEhlaWdodCAwID4+CmVuZG9iagoxMiAwIG9iagpbIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwCjYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgMzE4IDQwMSA0NjAgODM4IDYzNgo5NTAgNzgwIDI3NSAzOTAgMzkwIDUwMCA4MzggMzE4IDM2MSAzMTggMzM3IDYzNiA2MzYgNjM2IDYzNiA2MzYgNjM2IDYzNiA2MzYKNjM2IDYzNiAzMzcgMzM3IDgzOCA4MzggODM4IDUzMSAxMDAwIDY4NCA2ODYgNjk4IDc3MCA2MzIgNTc1IDc3NSA3NTIgMjk1CjI5NSA2NTYgNTU3IDg2MyA3NDggNzg3IDYwMyA3ODcgNjk1IDYzNSA2MTEgNzMyIDY4NCA5ODkgNjg1IDYxMSA2ODUgMzkwIDMzNwozOTAgODM4IDUwMCA1MDAgNjEzIDYzNSA1NTAgNjM1IDYxNSAzNTIgNjM1IDYzNCAyNzggMjc4IDU3OSAyNzggOTc0IDYzNCA2MTIKNjM1IDYzNSA0MTEgNTIxIDM5MiA2MzQgNTkyIDgxOCA1OTIgNTkyIDUyNSA2MzYgMzM3IDYzNiA4MzggNjAwIDYzNiA2MDAgMzE4CjM1MiA1MTggMTAwMCA1MDAgNTAwIDUwMCAxMzQyIDYzNSA0MDAgMTA3MCA2MDAgNjg1IDYwMCA2MDAgMzE4IDMxOCA1MTggNTE4CjU5MCA1MDAgMTAwMCA1MDAgMTAwMCA1MjEgNDAwIDEwMjMgNjAwIDUyNSA2MTEgMzE4IDQwMSA2MzYgNjM2IDYzNiA2MzYgMzM3CjUwMCA1MDAgMTAwMCA0NzEgNjEyIDgzOCAzNjEgMTAwMCA1MDAgNTAwIDgzOCA0MDEgNDAxIDUwMCA2MzYgNjM2IDMxOCA1MDAKNDAxIDQ3MSA2MTIgOTY5IDk2OSA5NjkgNTMxIDY4NCA2ODQgNjg0IDY4NCA2ODQgNjg0IDk3NCA2OTggNjMyIDYzMiA2MzIgNjMyCjI5NSAyOTUgMjk1IDI5NSA3NzUgNzQ4IDc4NyA3ODcgNzg3IDc4NyA3ODcgODM4IDc4NyA3MzIgNzMyIDczMiA3MzIgNjExIDYwNQo2MzAgNjEzIDYxMyA2MTMgNjEzIDYxMyA2MTMgOTgyIDU1MCA2MTUgNjE1IDYxNSA2MTUgMjc4IDI3OCAyNzggMjc4IDYxMiA2MzQKNjEyIDYxMiA2MTIgNjEyIDYxMiA4MzggNjEyIDYzNCA2MzQgNjM0IDYzNCA1OTIgNjM1IDU5MiBdCmVuZG9iagoxNSAwIG9iago8PCAvQSAxNiAwIFIgL0IgMTcgMCBSIC9DIDE4IDAgUiAvRiAxOSAwIFIgL0wgMjAgMCBSIC9OIDIxIDAgUiAvUiAyMiAwIFIKL1UgMjMgMCBSIC9hIDI0IDAgUiAvYyAyNSAwIFIgL2UgMjYgMCBSIC9laWdodCAyNyAwIFIgL2ZvdXIgMjggMCBSCi9oIDI5IDAgUiAvaHlwaGVuIDMwIDAgUiAvbCAzMSAwIFIgL25pbmUgMzIgMCBSIC9vIDMzIDAgUiAvcCAzNCAwIFIKL3BlcmlvZCAzNSAwIFIgL3IgMzYgMCBSIC9zaXggMzcgMCBSIC9zcGFjZSAzOCAwIFIgL3R3byAzOSAwIFIgL3UgNDAgMCBSCi92IDQxIDAgUiAveSA0MiAwIFIgL3plcm8gNDMgMCBSID4+CmVuZG9iagozIDAgb2JqCjw8IC9GMSAxNCAwIFIgPj4KZW5kb2JqCjQgMCBvYmoKPDwgL0ExIDw8IC9DQSAwIC9UeXBlIC9FeHRHU3RhdGUgL2NhIDEgPj4KL0EyIDw8IC9DQSAxIC9UeXBlIC9FeHRHU3RhdGUgL2NhIDEgPj4KL0EzIDw8IC9DQSAwLjggL1R5cGUgL0V4dEdTdGF0ZSAvY2EgMC44ID4+ID4+CmVuZG9iago1IDAgb2JqCjw8ID4+CmVuZG9iago2IDAgb2JqCjw8ID4+CmVuZG9iago3IDAgb2JqCjw8ID4+CmVuZG9iagoyIDAgb2JqCjw8IC9Db3VudCAxIC9LaWRzIFsgMTAgMCBSIF0gL1R5cGUgL1BhZ2VzID4+CmVuZG9iago0NCAwIG9iago8PCAvQ3JlYXRpb25EYXRlIChEOjIwMjEwMjE0MjM0MjQ2WikKL0NyZWF0b3IgKG1hdHBsb3RsaWIgMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZykKL1Byb2R1Y2VyIChtYXRwbG90bGliIHBkZiBiYWNrZW5kIDMuMi4yKSA+PgplbmRvYmoKeHJlZgowIDQ1CjAwMDAwMDAwMDAgNjU1MzUgZiAKMDAwMDAwMDAxNiAwMDAwMCBuIAowMDAwMDEwOTk3IDAwMDAwIG4gCjAwMDAwMTA3NjAgMDAwMDAgbiAKMDAwMDAxMDc5MiAwMDAwMCBuIAowMDAwMDEwOTM0IDAwMDAwIG4gCjAwMDAwMTA5NTUgMDAwMDAgbiAKMDAwMDAxMDk3NiAwMDAwMCBuIAowMDAwMDAwMDY1IDAwMDAwIG4gCjAwMDAwMDAzOTYgMDAwMDAgbiAKMDAwMDAwMDIwOCAwMDAwMCBuIAowMDAwMDAxODAxIDAwMDAwIG4gCjAwMDAwMDkzNzQgMDAwMDAgbiAKMDAwMDAwOTE3NCAwMDAwMCBuIAowMDAwMDA4NjkzIDAwMDAwIG4gCjAwMDAwMTA0MjcgMDAwMDAgbiAKMDAwMDAwMTgyMiAwMDAwMCBuIAowMDAwMDAxOTgyIDAwMDAwIG4gCjAwMDAwMDIzMTQgMDAwMDAgbiAKMDAwMDAwMjYxOSAwMDAwMCBuIAowMDAwMDAyNzY1IDAwMDAwIG4gCjAwMDAwMDI4OTYgMDAwMDAgbiAKMDAwMDAwMzA0MyAwMDAwMCBuIAowMDAwMDAzMzQzIDAwMDAwIG4gCjAwMDAwMDM1NjkgMDAwMDAgbiAKMDAwMDAwMzk0NiAwMDAwMCBuIAowMDAwMDA0MjQ5IDAwMDAwIG4gCjAwMDAwMDQ1NjcgMDAwMDAgbiAKMDAwMDAwNTAzMiAwMDAwMCBuIAowMDAwMDA1MTk0IDAwMDAwIG4gCjAwMDAwMDU0MzAgMDAwMDAgbiAKMDAwMDAwNTU1NCAwMDAwMCBuIAowMDAwMDA1NjcxIDAwMDAwIG4gCjAwMDAwMDYwNjQgMDAwMDAgbiAKMDAwMDAwNjM1MSAwMDAwMCBuIAowMDAwMDA2NjYwIDAwMDAwIG4gCjAwMDAwMDY3ODEgMDAwMDAgbiAKMDAwMDAwNzAxMSAwMDAwMCBuIAowMDAwMDA3NDAxIDAwMDAwIG4gCjAwMDAwMDc0OTAgMDAwMDAgbiAKMDAwMDAwNzgxMSAwMDAwMCBuIAowMDAwMDA4MDU1IDAwMDAwIG4gCjAwMDAwMDgxOTkgMDAwMDAgbiAKMDAwMDAwODQxMCAwMDAwMCBuIAowMDAwMDExMDU3IDAwMDAwIG4gCnRyYWlsZXIKPDwgL0luZm8gNDQgMCBSIC9Sb290IDEgMCBSIC9TaXplIDQ1ID4+CnN0YXJ0eHJlZgoxMTIwNQolJUVPRgo=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:30:59.006339Z", + "start_time": "2020-12-28T17:30:58.999291Z" + }, + "id": "kFf0xXqTDliS" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "fc_ln_model = nn.Sequential(\n", + " nn.Flatten(),\n", + " nn.Linear(D, n), nn.LayerNorm([n]), nn.LeakyReLU(leak_rate),\n", + " *[nn.Sequential(nn.Linear(n, n), nn.LayerNorm([n]), nn.LeakyReLU(leak_rate)) for _ in range(5)], \n", + " nn.Linear(n, classes),\n", + ")" + ], + "execution_count": 30, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:30:59.010523Z", + "start_time": "2020-12-28T17:30:59.007595Z" + }, + "id": "8FIxTH21DliS" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "def cnnLayer(in_filters, out_filters=None, pool_factor=0,kernel_size=3):\n", + " if out_filters is None:\n", + " out_filters = in_filters #This is a common pattern, so lets automate it as a default if not asked\n", + " padding=kernel_size//2 #padding to stay the same size\n", + " return nn.Sequential( # Combine the layer and activation into a single unit\n", + " nn.Conv2d(in_filters, out_filters, kernel_size, padding=padding), \n", + " nn.LayerNorm([out_filters, W//(2**pool_factor), H//(2**pool_factor)]), #The only change, adding BatchNorm2d after our convolution! \n", + " nn.LeakyReLU(leak_rate)\n", + " )" + ], + "execution_count": 31, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:30:59.020626Z", + "start_time": "2020-12-28T17:30:59.011753Z" + }, + "id": "8UFZN9ofDliS" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "cnn_ln_model = nn.Sequential(\n", + " cnnLayer(C, n_filters), \n", + " cnnLayer(n_filters), \n", + " cnnLayer(n_filters),\n", + " nn.MaxPool2d((2,2)), #we've done one round of pooling, so , pool_factor=1 now\n", + " cnnLayer(n_filters, 2*n_filters, pool_factor=1), \n", + " cnnLayer(2*n_filters, pool_factor=1), \n", + " cnnLayer(2*n_filters, pool_factor=1), \n", + " nn.MaxPool2d((2,2)), #now we've done two rounds of pooling, so pool_factor=2\n", + " cnnLayer(2*n_filters, 4*n_filters, pool_factor=2), \n", + " cnnLayer(4*n_filters, pool_factor=2),\n", + " nn.Flatten(),\n", + " nn.Linear(D*n_filters//4, classes),\n", + ")" + ], + "execution_count": 32, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:36:11.905438Z", + "start_time": "2020-12-28T17:30:59.021792Z" + }, + "tags": [ + "remove_output" + ], + "id": "n4TiH99qDliT", + "outputId": "bae83e69-f925-4fec-d9cf-1104733d9adc", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 115, + "referenced_widgets": [ + "6c51d04e61fe4b52a0610c60d4981026", + "95fb4661caad4f09ab7ce55b767f5caf", + "3d11db6f840e49149bffcdd190b70ef3", + "af4c5498395445259ec8a8bd1f0127c4", + "ec50fa8b3a9c4da0b708e2b6de08a32f", + "c38e3705a1064216b12addf333499a02", + "bb4a5e3b0323419da9ca1f69469e6ccb", + "c2422e52e69c45b28e6efeb656627aa7", + "8292059dc86c4e68a91a027f8594a5e8", + "6f055efbc8ea490ea34680b062ab7709", + "726804aa408e484599db2867e86089e4", + "5505bb285fca4fe3acb1e859a43da465", + "940327e7eb4048688ef8e1114c3ed7cb", + "ecfd1a28483f41aaa4c2bd9b0fb3dd65", + "de055ab1ed6a4702a04a13a5049240be", + "33455ffce4e1485382fcb86a0ed91c2e", + "618cccaf0f9146bd9396184c5e99217c", + "d9664591374c4a418891fb7355141592", + "3ece7f6cc06345ed93c4c66700318052", + "e4b5f151fc42430999215fbd89039120", + "8eeda8dbf6264d4986907cd052234ecc", + "d8ded3244a6d4372849580ff0f37ef44", + "7044d3412c944976a90ffe113314049a", + "d82907a790904708ad034c7a77a2d2d8", + "f28815605ce442efa42e3367d9fa95a1", + "c4cbd4c7d1014b6ab993dc8d4666c665", + "ae008edc83414ad18f137374f79c5ed4", + "d71947bbf2324be6a1cd699977101d4c", + "25f627ffa28849bf810de8f35d2a6525", + "f6488d3756094d6988e2d4e7076c1352", + "5e6e29700e5746efa11cdc57956af14d", + "99a80167f9364dc8a5527eafa053a139", + "cea956cef806462f9866df3596ba8b97", + "1cde6d0274a842fab6cc587baa84219c", + "a686be026b4d42328e9b591ecf7ef688", + "d7aee4d6ae7d4145905238bf7a53aeb9", + "9bf2e246028d41fda3499eee6066a018", + "ccf8273bdfa0466680aa2a48aa3613b0", + "5282d30459ff4e3cae09c74bac4f7a77", + "98cc1eddd133492695f4251adce3da0d", + "9a4d5d5121e84d1594201ffd6da2a0b7", + "bb77fd72ebc74477a5fb1a1a641e2dad", + "2434b176c0ac49a7b1f4165fad69e2ed", + "fa4922a252454de3a341f6fca8892391", + "3c77a6d5f76e43978ab38ae41479e27f", + "8836407316c64c22b213216e3b865ae3", + "1e642c5b7c4d46fc9e95d4b11055e958", + "efdecea626104e5d9c8ccf0a225b4af6", + "cd50d12cf6444fa5a4e0f0578c228139", + "71edd05902764d75979b4ebf802ba4e9", + "63d9ee40b0134e06aad8cf09e67cc240", + "9ad210c85c5c4f76b2da85ab70aa5023", + "60005ccb4d7f4f7a8b0643676a242480", + "7955aca5cdf24cbd9e9d1e45c3aee4cc", + "3540e549a923497ba2744380228ed9a9", + "c29e659156a944159066627c02f013b5", + "2309806fbc8643a8a18874ad95fd2214", + "a7d717be8c694102b0b1186b36faf3cd", + "b39d024dff3d4a559e12da351680846b", + "3073921adb744ea08cb8bbef7f9064a4", + "7492c1bc37fc498595d822150d326497", + "df3b9c7e77e146da93dcdaf7b9e8b4d7", + "7d8c9ce285fc44709dd07cc61dbcc9f9", + "7c174529934b455bbabd9ab455b18ff1", + "6caac733dd3d4c3d96ef3058b5495543", + "4957fdcba94e4abba191ade7254f842e", + "2ea8020606b24121ae734ba2ece62f67", + "3406ea3dc8074ccbbe7d653bf4ef2b5f", + "5fb568a2c2934592802576884d39f445", + "07cbe092538b4448b40d9b920f616eb4", + "87b7f3c0bdbf45beb0e2ada634ce3f63", + "31d78900e0d84480b96c354e1ec3c657", + "0d5ecbab3f1743e5b79d036cf06fd7d3", + "640a5102de1647d98599afea6018e9e2", + "89750a8e51dc43469233fb9ec7fd9bff", + "a432952b87f2461c92903c5c198555a7", + "6b2f7013809c48f7a2691584212957fa", + "7a7691ddbd804795824382a1f0952036", + "70871973e51d4b09a4ae754d9ac7848d", + "ca7d95ed59554111ba1d36f08ec3c09e", + "d7fbd4d4e7984ad393c43f94283ef28a", + "047121979c7945caa7afbf9fc73429fe", + "d222637cccc341f9bb2d7931eac61993", + "e8756a255f8b4e938730f744a2032f42", + "18f3aff696e44a71985260b4f706f10b", + "99745a13b71141858363a1417e9d9f95", + "2bd4d615b9b54b47bc6a7a35bd812b1b", + "45f8c6a31fcd4f66b26dffc199847bd6", + "272cc78516e84770a5745d73a8502e46", + "885eb277a0844e0aaee6585ea57fc908", + "962342f954b44751b6fd39f98838af5d", + "61d10cd50db2403aa9630383d665d8e6", + "1a0ece78e12e41209ce7664c911656a2", + "d549e520d34244c188b6ab52338f4f13", + "4959222b0a8c487fa6d13850bb5841af", + "09d9c95fc28145d284c64e6ebed37f60", + "1f3f0efb0b764b39bd4bef1d3a2e71f6", + "9da58b31a1944488abe030e4fec427b1", + "fde7a3b8c98a4e5bb13a000302f5048c", + "ca1230cbc9dc4063b1cbcab1ed19591a", + "c65e2ef80fe94212bd0baf2fed284999", + "2a898812913b4f9b9c4b0347c480d2e8", + "b984ccc2a57940f1afc2c5a94de060fa", + "93a77eac8d4a4f15ab202f8caa9fb396", + "f3a803b416814f5bbd13e0a0366d65bc", + "8020a0cb10b84c0bbbc2613dfda3cd0e", + "4d849113cc57432b8488c1fd0272d4cb", + "04c1ac32ed684560ac18ea23c82f2385", + "47dffe09223c44a181637b33142aef6d", + "2676e3bd00344abdbdc3f72f2a26ee50", + "31f8b6129d2e4810bb7d49295ea18655", + "52735618259a4f66a5d55ec9a9edf316", + "1a10813163224bca8d0e91195ab4b223", + "79220360c57d48edaab25a8d3c750cb6", + "a1b198f7da2c473c9fefe554be40b20b", + "ee65b28eb8b34ab9b9a64ec9ece3c8ba", + "6ffe38694a974dfdbb8c81865eab086b", + "408ff7988b2e407c8d8b6170c690521c", + "06590f2a4779457bad62623017cab9f7", + "11e6959eb5694e7ebf1c34859b2b36cb", + "9c53683e28854478ad2f933237dd8381", + "04e0bf2f002149e29a5922df7ced058d", + "64402a0ec042424c8c8f951c8aa70379", + "c0cc9df21a2a4e4d906f920ac184176a", + "3b6c5b957daa45098ade3e088fd4e77b", + "c9252581c8e04f26b6c459e0fc953882", + "794db6c77d5d41e0a6e1a49e05d3cc27", + "ab76ac7d3ddc477cb2f0447da85da87e", + "5add38f117994a71886b25172844e22c", + "c1795b653b794a1c84a8f2eaa5a839fd", + "c05211fc457f44ff8a5b7d5422d0ad23", + "1af927641e34438bb315e2d155996ef6", + "caa772cc8d6f44299d8113f8ca4c9893", + "1a3e553ed60f4b1a934bc8a7325cd4f5", + "b26bb7ec2bf741e2b2ba18680d0b731c", + "d14217126ae2417ca2cf211f06a05390", + "9c43d76a970a42868b445da3dd7e342e", + "3afc366062bd46cc988b71cf9e63e9b1", + "33343b2d8fe7412e8bd241f923f6cf37", + "bdabec12b74d49f69bb4a4669fdca68e", + "11d80d9d3920418fa0408492d3ac328e", + "5683a49517d74d129edff2193a23c14e", + "7d9fa8df844240bbad49db2712c7be5e", + "a12fd212a8bc434f88ce6c9de8cb53dc", + "e667db1feda242c695bcd2519911026c", + "528c76ff6f9d4241a44dba3df8d386bc", + "13afea24238346caaad9ac2d66824024", + "4de5af9f72ec46dc83ae5ec8324c84c8", + "d7857f4869404962b765b0bbef593f50", + "7b10d78fe2a3484a81483381ba0fad4c", + "c1ac0c7f468041c0942312146a45ab03", + "e16f416ebf6f4f94bab3bc20153eaa9d", + "01f46728435b4cfe909b7b40ddae1527", + "d96e42df34a449e6929dfdf677f0114f", + "078d910e27b3400991c6dc70cb6f71a3", + "e3737b8c808c486bbb6f3587eefe3c69", + "2f0212d47a7a4d4c88e1d4f40e1d93d7", + "5e8116a08f484f0b9fefaadb868576f1", + "c4e0aee3a894438184fdb0d6b8b0013d", + "f5e3465000b646cbb52af4a9a8d39e5e", + "d6229900bd294b6dae0e5587a7ce0e12", + "0115ddc4cc894c37ad2b7ff04bdb8c9f", + "4b0c2b500b954eabaac0b4f55c101028", + "675bc3536a274118af26ba46c6c0804a", + "edf76f8d39864d53bad902cde636d147", + "747188a437f841cdb0693687949e288b", + "853f1c52872a4e7196aeccae544abaab", + "10b12db2764d4f37b5b560c1a7ffd3d8", + "d25b7d839c624ed09375132e6ac0b95f", + "ebf73e8f15b445f8bd7139dd305883cf", + "fa03ec4169884e7ca5a6f7c8856d3e4b", + "5f040765ecc8452a84c8115bbdfa99b1", + "c47d5048ed974e35a1474522ed6896c0", + "d23da7dafdd84781aed66f41ef19c97a", + "a613086c45ab471e8ee8a570b7e1fae5", + "e08a862e0f904325a419de323563567a", + "88c9b1a848b24745937248714dad170d", + "071fb43083ff43b887ad0a860e872f60", + "701d108179a449e399c47c5ab1f77c37", + "04b5787509944d489cc1ba968e848e3b", + "49f66af6da634239900c974b69f99f4b", + "6c0fc46da66b4a03aaee112bcf897e79", + "f1feb849e78a46c986431b775ee2ba15", + "90760c5bff624963afe28d109744da04", + "08f7dcc9b9884e16b5eff3a46f34df09", + "3fb8dc64ccb54af3b9b8cb03e2741b90", + "0adfdc0b46354625b2b97f10e43f8082", + "d734debffbf74f33823f1835eb02e84b", + "165675ac42ab4aa0a36b5f80c691ff23", + "4ff162bf99c04578815b6a9849e1a77e", + "6be1e26212a9456c82984b085330d500", + "30c47d0979154b1faece54e59ee2f7e6", + "71e4976ae6264acf8a8c8afdafef95ca", + "a8491921c6ee49ed945e821cf8d195c6", + "fc98ed5e6cb942b9bafe86aa35bf087f", + "05886136264c45f78c88dbc28831c51d", + "b7b8a5be76d641fe8e7538bca9a2cadc", + "f362e10aa1784a4b8243cb731b7cf98e", + "b1e255c343374248a1cdb2faa207d314", + "6a34a28ecdd341bab3229cfc16527992", + "91a2493e77444a2f98991f696887b880", + "35aef98ff31d4de891e05f3f85bdb6ef", + "f07779dbe4bd42e081452c2ad8699885", + "87798f79fbdb4d00be06bb882575f4ca", + "d5a957e4748544eaaae613fc64fe781c", + "3051f7b55add4f5e962e0f7ab843214c", + "f0dc085a15c74475b40b09bd3529812e", + "70952c5beee043168934a2cf8d912c35", + "b12119c7db874e22af8f9e7fb25ca371", + "78175d12db5e48038766e6eb420c3261", + "743d7bf27d0c42da8d71de39fcd00f64", + "2cdbdcd76ab54aac9cc9919757d3ace6", + "86a5ae7d37f64e489e2733eab79df543", + "3494b3e4a0b241a3a7e191ca28a09769", + "c0d03d16eade4b9fac837df9e5dbe43e", + "fe15da0f51ce4ba18d8ebf0196a661f5", + "ec4b73ca74da4450ab7915660653e4e7", + "407737b7b98a49c7b0cc979885d502ba", + "af4fa28a48844aacad88768bff98c2a2", + "89e28e6a5b8b4f2b93b0d34ca5855ee9", + "b54a5f55d69d4362a03bea6ad1e0a27b", + "8e775e61307040d1a1ffe7dcaf0d6c6b", + "bf5dfb93a917473693292caa284ba18e", + "a39a86f905b54d0f9dec564b0114dbf1", + "e6f352e44edd48e488a2ad2786c27d43", + "aa81a156b6d246f7bb38bd8d2434c557", + "fd0cbc10816e4eceaae9e130d55982ba", + "be74b7b788ac41918f530b0dcf3f5a32", + "8202eed092544209984d6fbfbf528b48", + "977d92e4704f4ca3996713ee58a16671", + "a1de8e87f84d4b39b0b0f4aa29269271", + "c80a9a5988894bcf8492d2b66b5d0091", + "2d8b591920bf4925a73c59b04ce3bb67", + "725f051e35cc41009ca21e81239cbd60", + "41e80afc48a14948b5a14321bf0a1b43", + "b07a9867e67a4ea3b0c23d4816de2710", + "2ad19c978ab641aea73a458026390583", + "97a89ac0cdcc4495b930e46e815966d8", + "39aae143738a4dd889ebed9b89913c40", + "66cc10402e054556853dd9bb8d57ae05", + "e535abaa96b741d59b0aca55099b7860", + "8d6a376d80f64b579787a64ff495f83c", + "007ad115c1b54fde8913f65a45b1c4b7", + "babd0ec1a5174cb2a37904fef1665801", + "7f7c080df64748d987f5d9ff2b4cd8d6", + "05542194b3ad4dca8dcb90cb836d8a03", + "c332bd6be9fb498b950e01d6488448b6", + "9b2cf268842740e580234b5c1be04c2a", + "f1d81380eb0b428d8ea9204f1cdf9077", + "9040453e535e476c9a0a29e927e074d4", + "4b63c7a39a604487b7b4adfe3a3fbd70", + "442e75d266c144d3b1d6c9dd430f46ca", + "4e3a09cd1b754654a965680b8833690a", + "75ccc64a477b4b57a4e4c8a7244aa30c", + "7635155f182148d29f54030d5f3ec242", + "a2ef85bfc2d14ba79bd5eeac3a05992f", + "88c3d52a373e405e853ad83f8fffffd2", + "de4c303de61e452ab72fbbb97ec264c0", + "80eff96666eb4308b7a5416d0d12284f", + "250f9d46e1ea4990b70fd77991d63157", + "57dd9c252be04620a337a72e9ec8aab6", + "2146f738bfcf496c912cdf519266a770", + "09a9831c40564aa49c11893f9765146b", + "a6ea5ac3370148b7950c74887f832b39", + "73da37a005ac4c59afd4087adc5302fa", + "e4e7de049b174b0fac81346fff8310b6", + "31e8c593b0734332a2c0841bd0c8ca4f", + "42f9bd74c1b446499f51856c426edf1b", + "d48f3b7fc27b4046ae8057afcb75ae92", + "1fec32c26f95455dae24c559c56484f0", + "81dc00bd02dc470f9d82222eb6d77bd1", + "afb82487ae044f32b819a56421745f65", + "3673752cb8cc4cfea726c337895aaedc", + "b2ef19e9f4d84f95910f6fd68a947340", + "c26bfb69f2444176ac5c783c3668c87c", + "4fdc47427c1e47e6881ed2d598e26de8", + "ecac19786ccd4b8eac76205994763c85", + "c5db80071a9841f29456767601ee58e0", + "bf9a2a53de824ebbb9c63e2a87527053", + "1e98b502fb2845dabdb1335b9832ff92", + "43a6204141594338a67a307e626c5d37", + "1bd47eded3e04dddabc0647deef9887a", + "9502380cdafe48d4a4306e345e5ec70d", + "2078465b25ef4a45afee6e7143021d00", + "af4598ca23414c4898182c1f2a3cada9", + "8dc7a1de79c34a24b0e288e4f9c4b968", + "7eb95848a7a744fe91cff94112a44b62", + "526e3b9e81884197bc6c4b0a66f71105", + "7cc5f24ddf684376abf3fe7cbb1e0132", + "fef35d32178e4c08800b0b5c8d2e8e54", + "84ac056b96e9460f8690dbfaf5d520b6", + "bd52b8ddd2af48bcb7347d300b51fb5c", + "838e81cc159a4487a135d1d9833125e1", + "39c6ad1823fb4209a65e7bbdaf5e48b1", + "4563b7b83d554fd388e672a67711f44c", + "12b73669417542239469f62cfb66e03d", + "d05a217700bf48289290406fc03d04ac", + "cf8772b49a0b45f1ab794dcb0d1bd1fa", + "4b68140e54734e7cab39be32a4506d65", + "e056fb523d3942ab9bec357ef69ead3a", + "13af22437e0b436a868d3ca1eec07514", + "c22011034bad4d0cb6959887f7ccd81f", + "1fb5ae31ffa544babdca5c407b99d3cb", + "c778f9edbcbe4e19a06b7372d640386f", + "dbce307d43644750b2e27c002793a0e1", + "6bfd49e4dd4243c482d3826bb8048a70", + "22b0abeedb5f4845a3622b5899cb3737", + "27027285e3924073bb8fb52838ca83d5", + "8d0fbf84a1f14f1a90d55dd246b7a413", + "02f96e0dca0e4b0c9c66b8464f5ce9f5", + "28ac1b13213645cba548a391f6147de7", + "19545d3d931a4ab38751f5d8cce83064", + "56cf6e9ec2ef4dae81874cfd4d0d52b9", + "2d6357e3192f4ec7975bc315326c9cfe", + "2a6a72280ef3417db4073e23e8f9aec3", + "78fa2dbebe9941ddb3e7e5ac83145ba5", + "630e0b379b8e4aef87ef1d818f8884ff", + "968730030602403c9921f1b41a5e0e40", + "bb8f895b34284b759aba281a0c36c34d", + "8c4f77239e874a1492e546ad6049c289", + "2fead104fe944129b270ba8522023d62", + "96dfcf2f378d4ecd82f6ec86da8d0191", + "957b88fd0b7647998c70bb2f4b8f59dc", + "6a3d6941fb38476c9fd4f95b148adcb1", + "b0b72cf3986b470b86619282a2a2d9ee", + "2130edc0752649fba6573a4ab8e6a9b1", + "85704b2aecd9453b8c4c2d839612a738", + "87d118fa19a544c3a346d196f65e74b6", + "9041d94f92194be3b9c83cae23dd1041", + "bba17830163f4ce9a6ed6c6c79474c53", + "5681a6296bc84706b9d901a504380934", + "b0f04b3dcd54467c9c8598ce4a2ffdec", + "b0d6bdd52fa749f3a636758958017698", + "84625e7a8faf4fc7942c710764f19a4b", + "00fb940563a84b7189b090f8ce536756", + "c263abfd0efb4465bf3d7db66ccd20bd" + ] + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" + "source": [ + "fc_ln_results = train_network(fc_ln_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", + "del fc_ln_model\n", + "cnn_ln_results = train_network(cnn_ln_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", + "del cnn_ln_model" + ], + "execution_count": 33, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6c51d04e61fe4b52a0610c60d4981026", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8292059dc86c4e68a91a027f8594a5e8", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "618cccaf0f9146bd9396184c5e99217c", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f28815605ce442efa42e3367d9fa95a1", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cea956cef806462f9866df3596ba8b97", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9a4d5d5121e84d1594201ffd6da2a0b7", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cd50d12cf6444fa5a4e0f0578c228139", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2309806fbc8643a8a18874ad95fd2214", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6caac733dd3d4c3d96ef3058b5495543", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0d5ecbab3f1743e5b79d036cf06fd7d3", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d7fbd4d4e7984ad393c43f94283ef28a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "272cc78516e84770a5745d73a8502e46", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1f3f0efb0b764b39bd4bef1d3a2e71f6", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f3a803b416814f5bbd13e0a0366d65bc", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1a10813163224bca8d0e91195ab4b223", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9c53683e28854478ad2f933237dd8381", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5add38f117994a71886b25172844e22c", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9c43d76a970a42868b445da3dd7e342e", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e667db1feda242c695bcd2519911026c", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "01f46728435b4cfe909b7b40ddae1527", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d6229900bd294b6dae0e5587a7ce0e12", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d25b7d839c624ed09375132e6ac0b95f", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "88c9b1a848b24745937248714dad170d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "08f7dcc9b9884e16b5eff3a46f34df09", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "71e4976ae6264acf8a8c8afdafef95ca", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "91a2493e77444a2f98991f696887b880", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b12119c7db874e22af8f9e7fb25ca371", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ec4b73ca74da4450ab7915660653e4e7", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e6f352e44edd48e488a2ad2786c27d43", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2d8b591920bf4925a73c59b04ce3bb67", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e535abaa96b741d59b0aca55099b7860", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f1d81380eb0b428d8ea9204f1cdf9077", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "88c3d52a373e405e853ad83f8fffffd2", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "73da37a005ac4c59afd4087adc5302fa", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3673752cb8cc4cfea726c337895aaedc", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "43a6204141594338a67a307e626c5d37", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7cc5f24ddf684376abf3fe7cbb1e0132", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d05a217700bf48289290406fc03d04ac", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "dbce307d43644750b2e27c002793a0e1", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "56cf6e9ec2ef4dae81874cfd4d0d52b9", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2fead104fe944129b270ba8522023d62", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9041d94f92194be3b9c83cae23dd1041", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:36:12.251041Z", + "start_time": "2020-12-28T17:36:11.907483Z" + }, + "id": "jRo75VSZDliT", + "outputId": "4200f18e-0892-4984-d05a-9126f21b4ad8", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 296 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "sns.lineplot(x='epoch', y='val Accuracy', data=fc_relu_results, label='FC-ReLU')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=fc_bn_results, label='FC-ReLU-BN')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_bn_results, label='CNN-ReLU-BN')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=fc_ln_results, label='FC-ReLU-LN')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_ln_results, label='CNN-ReLU-LN')" + ], + "execution_count": 34, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 34 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "rnn_3layer = nn.Sequential( #Simple old style RNN \n", - " EmbeddingPackable(nn.Embedding(len(all_letters), 64)), #(B, T) -> (B, T, D)\n", - " nn.RNN(64, n, num_layers=3, batch_first=True), #(B, T, D) -> ( (B,T,D) , (S, B, D) )\n", - " LastTimeStep(rnn_layers=3), #We need to take the RNN output and reduce it to one item, (B, D)\n", - " nn.Linear(n, len(namge_language_data)), #(B, D) -> (B, classes)\n", - ")\n", - "\n", - "#Apply gradient cliping to maximize its performance\n", - "for p in rnn_3layer.parameters():\n", - " p.register_hook(lambda grad: torch.clamp(grad, -5, 5))\n", - "\n", - "rnn_results = train_network(rnn_3layer, loss_func, train_lang_loader, val_loader=test_lang_loader, score_funcs={'Accuracy': accuracy_score}, device=device, epochs=10)" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T18:13:52.066071Z", - "start_time": "2020-12-28T18:12:37.767674Z" }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c157b625e6d54876936359e9987c1c49", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:36:12.259148Z", + "start_time": "2020-12-28T17:36:12.252973Z" + }, + "id": "wlW23wjzDliU" }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "class SkipFC(nn.Module):\n", + " def __init__(self, n_layers, in_size, out_size, leak_rate=0.1):\n", + " \"\"\"\n", + " n_layers: how many hidden layers for this block of dense skip connections\n", + " in_size: how many features are coming into this layer\n", + " out_size: how many features should be used for the final layer of this block. \n", + " leak_rate: the parameter for the LeakyReLU activation function. \n", + " \"\"\"\n", + " super().__init__()\n", + " \n", + " #The final layer will be treated differently, so lets grab it's index to use in the next two lines\n", + " l = n_layers-1\n", + " #The linear and batch norm layers are stored in `layers` and `bns` respectively. A list comprehensive creates all the layers in one line each. The `if i == l` allows us to single out the last layer which needs to use `out_size` instead of `in_size`\n", + " self.layers = nn.ModuleList([nn.Linear(in_size*l, out_size) if i == l else nn.Linear(in_size, in_size) for i in range(n_layers)])\n", + " self.bns = nn.ModuleList([nn.BatchNorm1d(out_size) if i == l else nn.BatchNorm1d(in_size) for i in range(n_layers)])\n", + " #Since we are writing our own `forward` function instead of using nn.Sequential, we can just use one activation object multiple times. \n", + " self.activation = nn.LeakyReLU(leak_rate)\n", + " \n", + " def forward(self, x):\n", + " #First we need a location to store the activations from every layer (except the last one) in this block. All the activations will be combined as the input to the last layer, which is what makes the skips! \n", + " activations = []\n", + " \n", + " #zip the linear and normalization layers into paired tuples, using [:-1] to select all but the last item in each list.\n", + " for layer, bn in zip(self.layers[:-1], self.bns[:-1]):\n", + " x = self.activation(bn(layer(x)))\n", + " activations.append( x )\n", + " #concatenate the activations together, this makes the input for the last layer\n", + " x = torch.cat(activations, dim=1)\n", + " #Now manually use the last linear and batch-norm layer on this concatenated input, giving us the result.\n", + " return self.activation(self.bns[-1](self.layers[-1](x)))\n", + "#Caption: A PyTorch module defining a class for creating skip connections. It will create one larger block of multiple layers in a “dense” style skip connection, containing `n_layers` total. Used on its own it can create dense networks, or used sequentially it can create staggered skip connections. " + ], + "execution_count": 35, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:38:41.350004Z", + "start_time": "2020-12-28T17:36:12.260910Z" + }, + "tags": [ + "remove_output" + ], + "id": "jPVmbtNaDliU", + "outputId": "09f8c40d-745d-4037-cd84-e5aac1a4d3f2", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 66, + "referenced_widgets": [ + "ed662bbd2d254427a5ee78dcff2f9685", + "4d4a3286a21a48f1b8b16509744ad266", + "9bf1cee0c2ef41609a8b32dd178f138b", + "680e9ecbfaac40759acb2526640d6b9f", + "78b6880dc6ba4cc3bbd8525bba01a1b5", + "2739811d981843998bcdb5d5951740c5", + "9bbb705579bc47fdac532fe79c3dbefd", + "61d13c2a72434bc1a91c7a377e677e88", + "9c9817a318ac4729a98d7781fd33df53", + "dddf6ec0abc94b4ea47c518351bfa0fe", + "7772bd613b1a4f4eb701e237729c6a44", + "4d429def679542fab4b2a26b760870d3", + "f155394c17784c658a3ae2de888b2043", + "4b8d2236d9e2480586f8b328847b42c7", + "97c9fc845a684453afc1cd8d5d7fe4eb", + "14c9eb55bc7847bb99d20cae21f70d9f", + "c953bb5c19fe47678751b1a02f77f96a", + "d0615cb0f7624a128457cc2b704d8e06", + "ddce45ae06854a1794497758340c8ae0", + "8054d91df1e24a9cb11a2ed8d79eb77f", + "4b1d503b0f0046029253bfef7e00077c", + "22079375e22245a984ec158b9a307139", + "210c6b10b71e42e59bfb12ddf0c7a07f", + "9923054f157c4cf9b154dc093c562b03", + "56bc8f1a142c4a479cc152e024119855", + "99f55e8254f34c5284b7b0b0f6932bdf", + "e17c8e63cf134441817d0ccef21bc68d", + "a33d52d54ac74d06ac235f7a532792ef", + "53660e7fe3394bbb96579b5200adfd89", + "f3f1450bed1b445e94b79025cd5e30ec", + "bab062acba34415f952894be66064b43", + "d5f394cb700740a2952c9348c7a8440a", + "8af8ffeef98f401ca018d3f84d633609", + "03c6be5d27cc4eb99e35e42cda589d9d", + "f8a27b65098441ceabae44866432ff61", + "c9c34f6b7de24d59855f91fcc9f4e850", + "1592265b610a472db413ad10550ed759", + "8bed829f673d49cd918837ee949f8f0a", + "125417bad33b42b79d10850ac021013f", + "cf8dc5dc897542d08b9b9f7131a4fb64", + "ec119b7e300847d0b6aab653ea034d39", + "52420a112c2a4686b8b9dc57fe2d67ce", + "e6a342f100514726b219e4c70ea90726", + "156a5c61c63640c1bc48963ac409b17b", + "69f4caf256c646c6b23944635f9188af", + "0adb183852754e09a43463f0e75906d0", + "e7849179e91c4db4886e906e5ac7f2d3", + "e14a09f8125e47b09ed3598c879b30b8", + "367b0f06c44a4efaa6085e9073d60962", + "e7b241c2453f4daa928f784916f6e01a", + "27c7b669151843ba90041437c54ef950", + "c25b2ddeb53349639f2b400593ae0501", + "cc2374d9140347239994db82bd2230d8", + "72b109876be845029f13765f95533bf5", + "901a36bed6f04dfea9b98047491a5c12", + "dce2250ec706494f986bd4050dc66ce6", + "b2d5f088d530490296d990ebc3ad89ed", + "2476301d78a143c79e5562823ffcdb7b", + "9146989261bb440dac28ccc1bcf8addc", + "7f4317a0c96943c6b9ac10e579b08908", + "bd8eb47ce7654946bff9b3a51c7426d0", + "3f38722f18374b5e80e2a7d6de2b7b2d", + "28c4d9d2ea7f4691963b6e540d09fc9e", + "6b17299dcebd4ae3aa7a90cf7929cf6b", + "0d92d19b45e249aa9654944a76438546", + "7a1106d23d154e84afd9d67a638533e7", + "292b622a3b044a7b8d83155c3730977b", + "98f60216d60c420abd1ad2d9c7a9b679", + "05ca36aca2564268b3ef7fd7dc708ac4", + "005ca8d494bd4156b83e672e4bcca62f", + "f5f3136828c54773afb43c3110296a51", + "633821ef4d694b52851f68a04f78f691", + "47cad887ba5943cfba6f3bb1c7f9e078", + "7299ec1a60d4447794b497ecce3aa1a4", + "06c3cc1c26f04c1686fbca10fdb8527b", + "cb7fec5b8b484a29851afde9dc00fa21", + "0495209b15774858a3eb19e4cc28938f", + "d062225617674ebe96e6dd8fcc1b9ee6", + "949588afa5fe411caa75fdea577fac4f", + "c4939ea226154a2cb2d1d94586ab1ff0", + "8339bd6b9850471b812136a65f78102d", + "0080f51bb78d4623989042a4a04a6a6a", + "6c50a74be9be41fca90a5a55acad8d44", + "5dd56541b4b841c1a21788148b8573e9", + "b16bf1326f624cef9c34badd4210f531", + "e2135ba6593a4affb4871ed3b650f7cd", + "e24c0275052f4fb58e8e358a595968e3", + "d42b37a9d457457184598d7c3b4bd01e", + "b862a437a5dc40fc9663a01849eb1cc9", + "c1e2fbfa9eb84049a0dc8975e95746bd", + "712a0f000cb3430ab37c41fef7ff52da", + "99d39ca350094e4e834a24608add579e", + "543462ae96424d078a7e5b47ef1a905b", + "0fb57a4d3f8d488399e1529bdab7db50", + "77c8c924b6f94ba08c57e4a24d000f80", + "97982df548854defb7191a3efb0856b4", + "53954c2d5a054c78aa8b4a76abf05961", + "13b0752ad31e4eca9e1d6b3880c356c7", + "582f63dcfbb142c495a3f334e4eeef9c", + "81de7723ff51439e8a8365722821ecff", + "407468dcadc24f8499d1b3abe76318f8", + "fdf6f901c76e44e9bbd615cbe3cb2ca1", + "508ae0b245b141c4ab618a67904f1a37", + "02a4d21a302545c08f58d464cdf63f68", + "22967ee5b59e4c10876ffb931c99cb7b", + "a46f9c1f826346febee16a324b036c62", + "aa648e14bba044849a704a945432a29d", + "c43b4dfa452c496694fafafb4b4e5880", + "c418ae8a9bd643188582c8797d66e78e", + "a0f8a9bf69a441d495da5d818604cad5", + "c6b85a5257db425f88471d1fecb7d5aa", + "47d06daff46540a5834a757d5eb27bbf", + "df118e08a2df4867a77ea56fe2ae2123", + "be8d8349a97446c6868b297b59dd04dd", + "9d660b352d2344f4a2781b2f32b6b571", + "b2d1deacd4b046d9841b79b84be27a69", + "99150a6caa5a4617a962052f16e6cec1", + "2152f9459e1f4ea0893d05672819c1fb", + "6612ac3130f945b082fa45ea39f3f024", + "0bd5344e77f942958b7cee4a706a6337", + "275b96d757094858a8230c452d389de8", + "b3b2091050f540f88c5efc96e01a4b64", + "8cea650516784267ba995885ad1f204a", + "1e034015325c473abe3f17351d45d8f4", + "16a2cf641e2b4827a3f20d373c299907", + "5e8cf54987004db999558896e390ac8b", + "b1db4a0a8f3346d99a59b0946d5b8ab2", + "0a424ae8eb414f54b13e3deba1f32467", + "1f00c2a6bfde43dab6295f55a577136d", + "18a1e3d953e14614847c30c409e8b1e4", + "40b8fbeb8d6040a6b7e5bdab1220ec11", + "47355721dee6467ebf8a15118bbbc6a1", + "e10095b2e72d453aa4935759bf50b2f4", + "1cc060d196da4cf08b74595975947e71", + "a8a790e920b64da1a12c7103c4f25b4e", + "f2393febcc6045fc8e628b1f9979cfcd", + "207de5372e8f4193b2f1a05d8113e534", + "d02d74b3b90947f4bdb1e0319ee435b7", + "bb4aa7043bc04243b7c57a4479f3abfa", + "c4059f68eccb40678febc609c1b212a4", + "886ec07b6f674c9e829532e83d8ca8e1", + "84457e7652544e1294df146b40db111f", + "e66bed7f64ce4caebb6fe22cfb7c061f", + "22ee0ba3d7954311b56c425f6bd1ce6b", + "f47b3ce8959e44bd9eaac05f2859a095", + "acc0e6775cc1437db755d0abc8e58e6d", + "7d7704b0972c44d59e4accf01bf608ef", + "76534f3442b543a2a0b5db63f2800aa1", + "a05165bbce714edfbdda7a4718f87726", + "6358a7f56d9e48bd8919e07b09ca9ad2", + "334eedd5ff594695acdf95f0caa35ab9", + "93e50c9e42284dcc838680c7ef489b4d", + "0eb3dcce91b4464bb299aa39033814c8", + "60ea6318aed94c99b407f57a5a0bcb2b", + "92cb0f8789b44c438501170b3c241b15", + "c28ea9e14e214fbea4e9f43ba88fa1da", + "5d6723f5cfa440108d1cd0d00600657e", + "4aeba227f6f84ae0a535b79aad0f0ae9", + "0f3aff12bff7470abf75b7e1bee5b185", + "4fa61e0c7ab94f4fbadba55573488ab5", + "3242c837fe4d4523a4ef302c53397388", + "3032eba1817f44609aa57d9dc7468425", + "e08995ab64664884bb5fb948e7484bfd", + "b774cdab0a6143ee8aaa4285f2645b33", + "08e2b2fd79684bcfa42ed4fb7752f380", + "df30d886a0d843fdb1d19ae4fa6c984f", + "984631f3b19643eea1a2da3abfce61c5", + "3dd61b0cf3074f1ba4b3ec7341b06e78" + ] + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" + "source": [ + "fc_skip_model = nn.Sequential(\n", + " nn.Flatten(),\n", + " SkipFC(2, D, n),\n", + " SkipFC(2, n, n),\n", + " SkipFC(2, n, n),\n", + " nn.Linear(n, classes),\n", + ")\n", + "\n", + "fc_skip_results = train_network(fc_skip_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", + "del fc_skip_model" + ], + "execution_count": 36, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ed662bbd2d254427a5ee78dcff2f9685", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9c9817a318ac4729a98d7781fd33df53", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c953bb5c19fe47678751b1a02f77f96a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "56bc8f1a142c4a479cc152e024119855", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8af8ffeef98f401ca018d3f84d633609", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ec119b7e300847d0b6aab653ea034d39", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "367b0f06c44a4efaa6085e9073d60962", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b2d5f088d530490296d990ebc3ad89ed", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0d92d19b45e249aa9654944a76438546", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "47cad887ba5943cfba6f3bb1c7f9e078", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8339bd6b9850471b812136a65f78102d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b862a437a5dc40fc9663a01849eb1cc9", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "53954c2d5a054c78aa8b4a76abf05961", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "22967ee5b59e4c10876ffb931c99cb7b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "df118e08a2df4867a77ea56fe2ae2123", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "275b96d757094858a8230c452d389de8", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1f00c2a6bfde43dab6295f55a577136d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "207de5372e8f4193b2f1a05d8113e534", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f47b3ce8959e44bd9eaac05f2859a095", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0eb3dcce91b4464bb299aa39033814c8", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3242c837fe4d4523a4ef302c53397388", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:38:41.620292Z", + "start_time": "2020-12-28T17:38:41.352840Z" + }, + "id": "1CNoI072DliV", + "outputId": "716f1965-edc9-4b4a-fff9-4e026e8d7d7d", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 296 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "sns.lineplot(x='epoch', y='val Accuracy', data=fc_relu_results, label='FC-ReLU')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=fc_bn_results, label='FC-ReLU-BN')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=fc_skip_results, label='FC-ReLU-BN-Skip')" + ], + "execution_count": 37, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 37 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:38:41.627894Z", + "start_time": "2020-12-28T17:38:41.621862Z" + }, + "id": "oFa50iugDliV" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "class SkipConv2d(nn.Module):\n", + " def __init__(self, n_layers, in_channels, out_channels, kernel_size=3, leak_rate=0.1):\n", + " super().__init__()\n", + " \n", + " #The last convolution will have a different number of inputs and output channels, so we still need that index\n", + " l = n_layers-1\n", + " #this is just simple helper values \n", + " f = (kernel_size, kernel_size)\n", + " pad = (kernel_size-1)//2\n", + " \n", + " #Defining the layers used, altering the construction of the last layer using the same `if i == l` list comprehension. We are going to combine convolutions via their channels, so the in and out channels change for the last layer. \n", + " self.layers = nn.ModuleList([nn.Conv2d(in_channels*l, out_channels, kernel_size=f, padding=pad) if i == l else nn.Conv2d(in_channels, in_channels, kernel_size=f, padding=pad) for i in range(n_layers)])\n", + " self.bns = nn.ModuleList([nn.BatchNorm2d(out_channels) if i == l else nn.BatchNorm2d(in_channels) for i in range(n_layers)])\n", + " \n", + " self.activation = nn.LeakyReLU(leak_rate)\n", + " \n", + " def forward(self, x):\n", + " #This code is identical to the SkipFC class, but its worth highliting the most important line that could change. \n", + " activations = []\n", + " \n", + " for layer, bn in zip(self.layers[:-1], self.bns[:-1]):\n", + " x = self.activation(bn(layer(x)))\n", + " activations.append( x )\n", + " #Which is the concatination of all the activations here. Our tensors are organized as (B, C, W, H), which is the default in PyTorch. But you can change that, and sometimes people use (B, W, H, C). In that situation the C channel is at index 3 instead of 1. So you would change `cat=3` in that scenario. This is also how you would adapt this code to work with RNNs\n", + " x = torch.cat(activations, dim=1)\n", + " \n", + " return self.activation(self.bns[-1](self.layers[-1](x)))" + ], + "execution_count": 38, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:42:28.233782Z", + "start_time": "2020-12-28T17:38:41.629348Z" + }, + "tags": [ + "remove_output" + ], + "id": "B8dlVd5lDliV", + "outputId": "af8009a1-dd39-460b-fe7f-fedde1554f87", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 66, + "referenced_widgets": [ + "7881ac6dae9d47099db0294c1e20446b", + "488755afcd204e4783dc0509bdb8f672", + "79a1d187e24342fe881abe195a8b5949", + "cbd7b544f3054f9e9bf92612df7142aa", + "4f3ebe2c74cb4f39b26c690a88a13ab1", + "562faac905d34660acbb8489c0a08d32", + "c60b0c898e16458d9d0e335ab600c9e0", + "476c107c273442d495002a631bd799cb", + "ca7a3bdee1c4450d8b4a85b027b7be6f", + "9110c6f5fa0e412b8403ab8a325d0942", + "40267b0bbfe04adc9f8fa147ddcfd2e9", + "d5cfde8322204c22b5e0a7205fbaaee3", + "a4c0a0b96f4b4a59a8eceea823d57502", + "dfee614da2f048bf9f8fc7c8f00a0f41", + "af66048692224cd18823bf0321e21816", + "eba70b54ee9c4f4cad0e6674cb451d69", + "24bb779367d04b2a8c887d8d909bf033", + "fc2169e000864373b45c3e7a8bfd455e", + "08bb2ebe84a942d1b76fbb1e92d50904", + "c3453b641ce24160bf0a000b72c22026", + "9610220c06b14f70a66bdc142b8155c8", + "431e8c08ce7b4a7d9dfe532169671d75", + "d5fc5a47a6f84c5597dee73dc9c06c88", + "4435c230a3bd4b70990e122197b7a91b", + "92840252c80d41fb826d402ddcafaec8", + "9639fa80728f497f8b90704ea6330f47", + "6533adc933214fb7913e7931c8be0b29", + "77bbe0608dfe4e0195beb26c3fd2c947", + "dc66c47b91714d538258ef3e2e711fc0", + "cf14a7b5609a4c0ebe7f67818e39320a", + "ea7c0106e23b46e5b62d1fd46e8cb940", + "2f343bf69778424388b815b54f7e3aae", + "3e6900485bc649ac80e217f949e11939", + "0febcaf725524bc596355be52dc59a6a", + "35f41f925348416e98ead4c7c63221dc", + "38f5185eb0214738bbbbea4f6b8a4c61", + "92f90494e25f4cfcb32b005ce6a27b58", + "27acf4da7eb44fc58fb81e4474ae9dbb", + "9e8713a3418a495cab702faa2219b91c", + "b74b78737803407e8298471174fd68ed", + "515f09b3454a4ff69caf730c37c153e3", + "3a2c60e5b6844fd4a787d6eb326e56a3", + "00667cf8b1694190848398d33b1f84cb", + "a144212080a54cf48a7d09f495eb9f73", + "2a9114f4c3a7419b8366335513d645a9", + "09241d1b47834525b36c53a23bb8ac3a", + "9750c2e5c916403bab18042dac11731a", + "f90ac17f5a6b4ee78095837ce8809f8f", + "5f67b8cae6a04188b3bbc6769b8b39ec", + "44361d9b45e7440097a865e26a4360d1", + "385baeb8d1d947509de4f4ac02180fff", + "3ec0c2c5053e4723a981123824fb74da", + "02a5c9f2921c421a9b67defc16c62fea", + "5b8aaaba82274edd92ce977a60d3c1c4", + "38db9bfc035940149eef58ac41df07e5", + "0ec90cd97f1448f8b2252e4a09932e50", + "ec7b28975bb248f3a5a2fbfd9e0dcaaa", + "706a24860b5849bc8bac69b9d81ca061", + "6727ebb3198e45fab4b1b0c060d12ca8", + "3f95515ca5884aaf9b729c1ff60ec30e", + "674c00f6f96948f2991f49bd0201acdf", + "1ed454ff8c2a4b38bd84607ecf5bc7db", + "8227698ea84e4f40a4f5be6f2dc5a3ba", + "2b873e7467e94d21a20df234add6483d", + "b53fbad5fcaa4e4a9e33a53718ebd6e1", + "5d0ca57a0b624ef7809302cd4219b9d0", + "80e186a562b144a3ad554e80a51b5eac", + "9185eff93ca9489c865875a21c19211a", + "de116754dfe24a8cbaea9441133ee675", + "a21422e144174739be8c80ff724000a5", + "fba742654f9a42ec8514d83df4829f0a", + "9f900018ec2243e98c0f8699f2a0c848", + "6f42c5726735425a8883ab71d6bd22db", + "5dbf576c56a6499286719391155e57a9", + "b119939496694e0786b8c70cb9604498", + "bca16d83fed84eb7ae2c98f227de2912", + "e555e2bf410441b1895b8bed1b92b353", + "f1df7b31bd3544fa8b6e9297dc861c7f", + "58b43b933bf04ccfb25ebb806cf42406", + "e12cfa9ae4e94e8bbcbfe3243dd8d7fa", + "856b52551e6643f7bd453df1a187d9b0", + "6cd67e864a0144a284924c558273b8e8", + "44158ccb23de44f2b3e45a7585271382", + "c9b291a78af54878a03cdb88c391f907", + "b481fa1da07d4661a8437672e427d4eb", + "5e2cdd04d6794bf8b8365386886c0839", + "ee26ea6ffe784e13bd74cbaec2f2bfb8", + "5b9917d6ac2b46d080edde2795822449", + "1aedb9ae20ad495eb883c1c6914589da", + "9d9708d577d141cc91b187bc953c1850", + "b815a8317030451fb255d117d300826e", + "af93526fe46a4305b9359be18790a28c", + "6b9f252aeb6b475290131d83b97fa654", + "0b58b0e1433846a183ccdf06db968a6e", + "711e83ee75f949d8bb5b80b05a4e561d", + "a3d79badd0ff49aaa99eb0f7434b7a70", + "2989f46f91ae41b8ad3a018cdd0492c4", + "15586b418fe44692bc1d6ba8a8951a91", + "0693bfd5c12e491ba464614bb872f645", + "6e16bdd7631a4ec783108ced5259955c", + "b06b5ec3e2004da2bd884929fb9a96e4", + "7c84b27ecfc8416aa8fbcd0688d5e456", + "5646351b44e54f5cadba766043304d9e", + "b3d2d26d2fd34c01a0f7e2b9955a43dc", + "c116c43d972e4a0c8e912d03622f2dcc", + "e4dbe24dff424ba1801448536564ab40", + "4dda4937066e4976860701d72d9919ea", + "58a26a614fb844ffbb8ee4e6a7920699", + "1a551c5e69b24bdba96de407e74d9cd8", + "e022cd53f5624ebd88f21fe070077f16", + "333ddc39d1e049a19f64b7c3a6d2809b", + "ba82a3a3175844bbbf0e71320147f7b7", + "3bbc5a3e1bbe4f588f0ee9382e01fcfc", + "8d25ea04df5042dca0560e069bf375aa", + "39560162072848dc8b77e011cccf5fe8", + "d211edf65d0142abaf10ccf1aa535828", + "13849327dc674c5386a826338213deb5", + "f47a431c9470436483f88c504821508e", + "03be7469944f4b70b7dd617aa6256645", + "489381a660d546f3bda48352bbb7cea3", + "fbf03378bdb842c2a73641ab6fbdc56f", + "83e777603c3b43d5a6b5bef0fd0613ec", + "3ce4a7c2a20643058268e87539b0c084", + "c8cd6118c39c4ada8a6c42b4c7f56552", + "c055421539f34ccea26a625b92a0e226", + "978e69735b8248b6905eccef7c6a35d4", + "39bd3102b6e74242a5b1a4825dcdf6b6", + "b309fa0488b14968b2a653163c003caf", + "4695c722b1c7415da8103089729dd59f", + "dcb9e479773d40278596afbf5fe468a3", + "078f61759d4048d3af4afe79348a16a3", + "4c966332d07e40589aa3af5faa9039d3", + "554139bb73b0426bbb3fadd11bccacf8", + "809716094bc24c95830877d8abf648d9", + "5e682e91d64d44cfa5bedd6008c0baf4", + "e92da6d2029c4114ab9252cf52022df5", + "08944c83266542a18d4e76e500c92d5b", + "84476d779a8e4a22ba2ba1013dea69c8", + "2257c5ab3f5e4f82a2be153d47ceb584", + "000ef8f0c8224031b35d9f98effd7fe5", + "4495ff5652d640cfa597df74ec4bcd97", + "e353f4fe893b490c8aa2fa52cba9a2b6", + "fb3c5c3a79924728b9ee755df912e841", + "195a50aae13942ae98f0a792f8747a58", + "a9a1d707a429423b9847225475d32c7d", + "2e51dfecdbae49009e4ba8dd50e8a7de", + "9d49c6956368468ea3f0b615a163f6d9", + "c2f51609028840fcba45371ea0b98c5a", + "95878c2ace5a481a8141d19fd20d7ca9", + "f2ef009a6c3f418cb1a3a0bf7d4b6d60", + "b79d8bbc86044377be52085689db18c0", + "9a7f9ee9fa3541f3a0e2d1a0be63bc8e", + "4cc9c85447c04707b15c87b0027655e9", + "50ba9816b3c745d2b739b7d5691769c5", + "7eac6f27bbfe488593758b203025bf58", + "e97f5a55ebfb483589aaee2b6f4ad13a", + "e1cf0f1d57e341f4beeb96f3793a50df", + "7802a6defca747778e48038edc7d846f", + "211fa2ac059f4595b42115212eb7b364", + "5e249e7dcadf428fb4d8fab7e36085cf", + "4bfad22d9426493c8183971db025a81e", + "ff3a118cff064f539f31aa36a8d5e5f5", + "2199b3cceb1f45d8b723cdc0a651609e", + "1f161297659d43d0ba1f432c1bfe7657", + "7a319c3f5fc04fb49774f79dd1ba3f30", + "6f95f66203364f7fbf8daf3c89263e22", + "8666f1af584f4e2caf67f6e8de2a915c", + "444f0ff624e9413dae0ff0e99341f033" + ] + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "cnn_skip_model = nn.Sequential(\n", + " nn.Conv2d(C, n_filters, (3,3), padding=1), \n", + " SkipConv2d(3, n_filters, 2*n_filters),\n", + " nn.MaxPool2d((2,2)),\n", + " nn.LeakyReLU(),\n", + " SkipConv2d(3, 2*n_filters, 4*n_filters),\n", + " nn.MaxPool2d((2,2)),\n", + " SkipConv2d(2, 4*n_filters, 4*n_filters),\n", + " nn.Flatten(),\n", + " nn.Linear(D*n_filters//4, classes),\n", + ")\n", + "\n", + "cnn_skip_results = train_network(cnn_skip_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", + "del cnn_skip_model" + ], + "execution_count": 39, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7881ac6dae9d47099db0294c1e20446b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ca7a3bdee1c4450d8b4a85b027b7be6f", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "24bb779367d04b2a8c887d8d909bf033", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "92840252c80d41fb826d402ddcafaec8", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3e6900485bc649ac80e217f949e11939", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "515f09b3454a4ff69caf730c37c153e3", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5f67b8cae6a04188b3bbc6769b8b39ec", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ec7b28975bb248f3a5a2fbfd9e0dcaaa", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b53fbad5fcaa4e4a9e33a53718ebd6e1", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6f42c5726735425a8883ab71d6bd22db", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "856b52551e6643f7bd453df1a187d9b0", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1aedb9ae20ad495eb883c1c6914589da", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2989f46f91ae41b8ad3a018cdd0492c4", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c116c43d972e4a0c8e912d03622f2dcc", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3bbc5a3e1bbe4f588f0ee9382e01fcfc", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "fbf03378bdb842c2a73641ab6fbdc56f", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4695c722b1c7415da8103089729dd59f", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "08944c83266542a18d4e76e500c92d5b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a9a1d707a429423b9847225475d32c7d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4cc9c85447c04707b15c87b0027655e9", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4bfad22d9426493c8183971db025a81e", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:42:28.481737Z", + "start_time": "2020-12-28T17:42:28.235176Z" + }, + "id": "FNkJsmc4DliW", + "outputId": "d42a696a-0e59-4256-cf20-16123a8cbf26", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 296 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" + "source": [ + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_bn_results, label='CNN-ReLU-BN')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_skip_results, label='CNN-ReLU-BN-Skip')" + ], + "execution_count": 40, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 40 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:42:28.485867Z", + "start_time": "2020-12-28T17:42:28.482988Z" + }, + "id": "JadpMx-bDliW" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "def infoShareBlock(n_filters):\n", + " return nn.Sequential(\n", + " nn.Conv2d(n_filters, n_filters, (1,1), padding=0), \n", + " nn.BatchNorm2d(n_filters),\n", + " nn.LeakyReLU())" + ], + "execution_count": 41, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:42:28.490401Z", + "start_time": "2020-12-28T17:42:28.487045Z" + }, + "tags": [ + "remove_cell" + ], + "id": "v4SsmLbvDliW" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "def cnnLayer(in_filters, out_filters=None, kernel_size=3):\n", + " if out_filters is None:\n", + " out_filters = in_filters #This is a common pattern, so lets automate it as a default if not asked\n", + " padding=kernel_size//2 #padding to stay the same size\n", + " return nn.Sequential( # Combine the layer and activation into a single unit\n", + " nn.Conv2d(in_filters, out_filters, kernel_size, padding=padding), \n", + " nn.BatchNorm2d(out_filters), #The only change, adding BatchNorm2d after our convolution! \n", + " nn.LeakyReLU(leak_rate)\n", + " )" + ], + "execution_count": 42, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:45:50.160097Z", + "start_time": "2020-12-28T17:42:28.491598Z" + }, + "tags": [ + "remove_output" + ], + "id": "oyhTWk5xDliW", + "outputId": "d56e3733-90ad-459c-dca5-55f508fe8c44", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 66, + "referenced_widgets": [ + "28a7f5943bd448c5bf92fdc8ced68ab6", + "26c79a2623904162824585d148cb34a2", + "45d433910ee34bab827dc4c85d214e1f", + "88f2b9d710e74fbca8672fb1bced4690", + "bb691391343b41b3b6dd2a8ed9579ed3", + "6a058028169c47ab8481e0bbf7535a33", + "4b4b15c88a56409ca977478a5a0d249e", + "6deee416eb87483fb3b5752df4a1db6d", + "d92037cd279340db97760e8a5db06559", + "2840bf28485c4cc7b8cfde6ed340e396", + "5fcf301c021e4a97b850c597b10cee6a", + "11f0d7d15bf149d6bd2ebaaa0ec5859e", + "7b4100226bfd4c3fa511e456fd314e5f", + "881681f159e14516992c3061143cea17", + "c64736d376394979b960f6770d025536", + "576f4d3d0c684f3da94650373f8eb2f6", + "66dea1620b624a15bae4c1e144f6a611", + "38943f8a429749bea0bbf38df80638d5", + "1ca9d8dfdb11404fb1e5728a40e1f138", + "0ee554ad2cb74026b3b0426d7eb97e54", + "bc1dcae09e4a4c40bd0d228ee039b36b", + "20cba37a89494a7d944ae44ece33b871", + "d215ba31a71741089808aec67eb17753", + "5e852c8faac8414bbdcf20dd7b126e1a", + "6737e1a308ea4263be3bdd40ab3d8eaa", + "f485adbcd45f411c974ab978891adb26", + "0cef063c22ed4abdb957fcd9bed6c398", + "dfbf297997d54d579e8291f4ad93ff41", + "83062f39d86f4079846f07d402ef3874", + "9bb60c24cbb848e2aa699bd69bd399c6", + "959848adb01343958d3b398dcf779306", + "69df7f9c1fd94671a0010af0c870d7f3", + "6cce1d5c3b4d4afeac94c5a63f8eb0db", + "c80c83f105dc4969a3e3b0e833d3db4f", + "4dcbc359adb14c57802bbd928a5c2793", + "5cbd7924d70f44069e5197057bafbaf5", + "a1d10b45692342ba962be0fdc8a2fa5f", + "25aa2c105aec4b4d9cf0c57320ebe35a", + "b2b3778bbb614e3783fe3178faf1e990", + "763baf7a5fb642d2b9f4f31768803ea9", + "1c899e74e3a4428a85a7b868ba2337e9", + "6cf7e423c6da47a4b804d3782b3bab91", + "2972130eb1844a1d8ab1adbb262b8bca", + "37beb970fa254a7c8426c5be1948b3ef", + "c4c10b7ccaea4ea484e2cb196be7c726", + "e3f2876e60bb4d90a092fca9e0921285", + "0d4e74dbe3d041709a10c1419849cc20", + "ee9e963f8013466a9fe50bf08beeb5d2", + "4f06880f95f14c68a868629b890592e3", + "af708431e813491aa97eb2c415db1a1d", + "49367b571b7044a982ce5f6186948fa6", + "9592affb2e70486abcfe29379c18f076", + "fbe92d16257544acae4706628df91d21", + "9def6955bbe2435990260346f75d4f38", + "e438f65732a24bd4b5fc5521c4111aca", + "b35e389847ce42b88dc78642a8c1ba8b", + "c9d9eed7f51a442880afcda64d4172c1", + "ac1a450391c24a40bc7beb4811d15869", + "00043831c85940ba9d9564f1a8fc4ece", + "a880e8aaad024b7a9c67c5cbf69feb2f", + "59cd540e26fd46379808963e719b40a8", + "6da062283ffc429e9c69799e43c8c5d2", + "9300f623cb2c4c9ab1b53818ca14276a", + "9238ce0615ed4ddfa6aeebd0ef7dc108", + "3a11c27c99e84ca39fbfab890b2ece1b", + "582896e95b7749f59cc498b74565a6b6", + "d63d2af48a9340699a0a3fdc2c26ed51", + "abf1e5f34c8e49bfb6ae2519a5f08608", + "a58946282a2043499f04d3a5ddc2723e", + "ff26c906ad614fa7968e7dc9563dd308", + "a5047970388241c5b4b4018681d48fb4", + "73a254d3af1d4c2aa916081a56849318", + "4836f3929f2648f19e73eec7ecad757b", + "5027933094c74e6d8b136ebae44ef5c5", + "0aea50c84cea464785d77201e645f503", + "1e1ea067583343ce86e3190db31311b9", + "71538b452ce1481db21c8b2f33585815", + "7a80206c6b2b4e1f9fae3f0a98445449", + "bee323ac580547a4bcad6c86a21007d4", + "9c6426c8fc5041e39cf8523813584fe4", + "9e74c6a6632a49a3b0794385e769afd2", + "2a4c5359ce00489b805b63de09276442", + "23ff54f4e04a41e7a467520272200919", + "e17f35ae9552497db83c7af80c2bdffc", + "687f18be2be3412d85d1114b10c95ec7", + "3289a3a782a448388c535fea939cfb92", + "6d7310791faa436fb5a304c00e9c7775", + "19f2fe2eea01477caeccf60495b2f19b", + "b560f347321b4d509ca06a042ba12e2a", + "2a0f49d7c0404b9ebe4c8c88f2dc98cf", + "2b0721c2bb8a4a4ca180f32744fd5bce", + "e9aa47fb3af241f19bb082b670827afd", + "ea6eb2babfaa4104b12b65bdc99f8a8d", + "d4ac3823ba90448f93b85ef90e8e5db5", + "6cf4dc9d619544309207e09771a86ee2", + "6f08d644ff714530ad7c6a1b40e6a79d", + "3e8569e277504b6994825cae577094ee", + "723e78838a6a4ed5a0e4d968948dfb21", + "17f72eff98a74db49c7ffa8b3c56032a", + "00b3f60863774f22b77c32db74a1431d", + "62909a841de94fe9818a453059b7db0c", + "6e126df2f4414e59b95aaab5f21c49c7", + "c7992e14b25d498e8c9f2b1386b8807a", + "d89a158858734dc0879cd9eb691bb664", + "cbc339059dfe4c299ed3fba36c523704", + "c2eedb90a45e4cfaba70216007895634", + "37e738e335144fc5a15682821a0388b5", + "c22f467df87b43d7bc4a49d3ddc1251c", + "45fb8320d17a43eb9559506922db013c", + "18d0e78a612641d3ad67029be0a5bf39", + "7d4ccae079d748c3a9232ef68c1dee58", + "33fb7154babb4a8cbab825be21913bd0", + "cae5180f6a3442ee82db71fa7e2b9014", + "04e26dd42c144868bd21620f6f43fbda", + "9b92affa27fc4d4582bacfd5ab2af793", + "ec70389d56a84083aec19ce09410aca4", + "c04ecbe220cb42708cbf43b141adbeab", + "686239d6665e420b943986464decf0aa", + "48e1758216744c31a6b7fdf6b19e7114", + "f9c3003d8e8a4f52938ce52336dabfee", + "e211a57661674a9a997cd4492af91cc6", + "fc6d8eb5c6194415bb1547e3dc3f09eb", + "361e830c0efc4fefb6e4eea4518e532d", + "be4efbe991b9471aa0ff800d084e1062", + "621744f4816641b6b7fbe39b8645b469", + "e70230a0ade44e24a4bf443d0e90accd", + "ed09d5bf174f403f9ebe681895b03e68", + "0dfdd7d983324c93bc4f1ae792015845", + "432b91b9e7bf4884b01ad7e7240fd1b0", + "239242780f204cb29b3f8824f634e232", + "a1c117632323489da553bfbe037250d7", + "a8bfe1ef4ae04030864df987bd45e3f9", + "221926daf5fe41a794ed719d7f76cf84", + "b9a1fa32188d4601865452b6a6f4d309", + "d584b7e9d2f84e1f88b8eef4610d871d", + "24956933d3d54f3facfa4c011c5729c5", + "28a4a8ef007049b0b32ca31c8db019cc", + "37c35d320c954a5992fc0d01fc14f73e", + "54f32d17094347e4ab88d01d4ba4031b", + "03d730686f5f4e78a33950531b86ee58", + "caff1f9a5c9e4140ac7e466cf7edff91", + "9903a38e6171414cb7068aac33f928b8", + "cd9afc23acc644f89ea4e07bf130fcf1", + "6d2dc0d77ad04bfeabee4ea0814fc8a1", + "76c4177c9e364afa87ddfb2a2d29aa2d", + "ef54ada3767d4700b6a8b43cd944973b", + "809f1e1ff0a94f529b024dd351064050", + "3115f14d4af440ef921f745a4851d25d", + "066b468541e844a581e1ba014e30ddd8", + "84f2621a28f640e690c805d424acbfd7", + "3183afe05c184865b16ee8d92925e4b5", + "78a84a8cc6bc4e8a888045564f3d4a22", + "c3c60bf0b1df4b15a52974d2b131d558", + "f6d8fbcf91b743aea3be7a4e48eb4d5a", + "fa432fe0b6cb4d26a421f09b206e126d", + "e0ae27a443e749808a100a2329b2b53f", + "98be6efe90b3426b8b45808061372063", + "53ec38145c1e4fb7b7b778ba1c8b4fdf", + "11720705c45d48ac80fb5b5a07b9ab11", + "5bf09868bce44a25ac5e866ddb527bda", + "ae453dfd410c4a359e34161815a43e81", + "2e8c02526bf641508614476f38a10032", + "bcfb253dc8194222a5897507957f6242", + "16150af1445241228efc90d5e793f0ae", + "d6dbf5239647416eb61a719c8c94fdd6", + "428132798f814b6692a21c26e4ca2b98", + "8dac3a6f6b1246de828c07d1e42d0df4", + "7bb8472c83de4f30b7cf510678785d98" + ] + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "cnn_1x1_model = nn.Sequential(\n", + " cnnLayer(C, n_filters), \n", + " cnnLayer(n_filters),\n", + " infoShareBlock(n_filters), #first info block after 2x cnnLayers\n", + " cnnLayer(n_filters),\n", + " nn.MaxPool2d((2,2)),\n", + " cnnLayer(n_filters, 2*n_filters), \n", + " cnnLayer(2*n_filters),\n", + " infoShareBlock(2*n_filters),\n", + " cnnLayer(2*n_filters), \n", + " nn.MaxPool2d((2,2)),\n", + " cnnLayer(2*n_filters, 4*n_filters), \n", + " cnnLayer(4*n_filters),\n", + " infoShareBlock(4*n_filters),\n", + " nn.Flatten(),\n", + " nn.Linear(D*n_filters//4, classes),\n", + ")\n", + "#Now train up this model\n", + "cnn_1x1_results = train_network(cnn_1x1_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)\n", + "del cnn_1x1_model" + ], + "execution_count": 43, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "28a7f5943bd448c5bf92fdc8ced68ab6", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d92037cd279340db97760e8a5db06559", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "66dea1620b624a15bae4c1e144f6a611", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6737e1a308ea4263be3bdd40ab3d8eaa", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6cce1d5c3b4d4afeac94c5a63f8eb0db", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1c899e74e3a4428a85a7b868ba2337e9", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4f06880f95f14c68a868629b890592e3", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c9d9eed7f51a442880afcda64d4172c1", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3a11c27c99e84ca39fbfab890b2ece1b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4836f3929f2648f19e73eec7ecad757b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9e74c6a6632a49a3b0794385e769afd2", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b560f347321b4d509ca06a042ba12e2a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3e8569e277504b6994825cae577094ee", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cbc339059dfe4c299ed3fba36c523704", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cae5180f6a3442ee82db71fa7e2b9014", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e211a57661674a9a997cd4492af91cc6", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "432b91b9e7bf4884b01ad7e7240fd1b0", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "28a4a8ef007049b0b32ca31c8db019cc", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "76c4177c9e364afa87ddfb2a2d29aa2d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c3c60bf0b1df4b15a52974d2b131d558", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ae453dfd410c4a359e34161815a43e81", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:45:50.406514Z", + "start_time": "2020-12-28T17:45:50.161271Z" + }, + "id": "xS_FVYB1DliW", + "outputId": "2ea736f9-ad4b-4cf8-e433-bac733bac910", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 296 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" + "source": [ + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_bn_results, label='CNN-ReLU-BN')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_1x1_results, label='CNN-ReLU-BN-1x1')" + ], + "execution_count": 44, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 44 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:45:50.411847Z", + "start_time": "2020-12-28T17:45:50.407827Z" + }, + "id": "_eStLTZRDliX" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "class ResidualBlockE(nn.Module):\n", + " def __init__(self, channels, kernel_size=3, leak_rate=0.1):\n", + " \"\"\"\n", + " channels: how many channels are in the input/output to this layer\n", + " kernel_size: how large of a filter should we use\n", + " leak_rate: paramter for the LeakyReLU activation function\n", + " \"\"\"\n", + " super().__init__()\n", + " #how much padding will our convolutional layers need to maintain the input shape\n", + " pad = (kernel_size-1)//2\n", + " \n", + " #Define the conv an BN layers we will use in a sub-network, just 2 hidden layers of conv/BN/activation\n", + " self.F = nn.Sequential(\n", + " nn.Conv2d(channels, channels, kernel_size, padding=pad),\n", + " nn.BatchNorm2d(channels),\n", + " nn.LeakyReLU(leak_rate),\n", + " nn.Conv2d(channels, channels, kernel_size, padding=pad),\n", + " nn.BatchNorm2d(channels),\n", + " nn.LeakyReLU(leak_rate),\n", + " )\n", + " \n", + " def forward(self, x):\n", + " return x + self.F(x) #F() has all the work for the long path, we just add it to the input" + ], + "execution_count": 45, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:45:50.419167Z", + "start_time": "2020-12-28T17:45:50.413080Z" + }, + "id": "Jk0QkTm7DliX" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "class ResidualBottleNeck(nn.Module):\n", + " def __init__(self, in_channels, out_channels, kernel_size=3, leak_rate=0.1):\n", + " super().__init__()\n", + " #how much padding will our convolutional layers need to maintain the input shape\n", + " pad = (kernel_size-1)//2\n", + " #The botteneck should be smaller, so output/4 or input. You could also try changing max to min, its not a major issue. \n", + " bottleneck = max(out_channels//4, in_channels)\n", + " #Define the three sets of BN and convolution layers we need. \n", + " #Notice that for the 1x1 convs we use padding=0, because 1x1 will not change shape! \n", + " self.F = nn.Sequential(\n", + " #Compress down\n", + " nn.BatchNorm2d(in_channels),\n", + " nn.LeakyReLU(leak_rate),\n", + " nn.Conv2d(in_channels, bottleneck, 1, padding=0),\n", + " #Normal layer doing a full conv\n", + " nn.BatchNorm2d(bottleneck),\n", + " nn.LeakyReLU(leak_rate),\n", + " nn.Conv2d(bottleneck, bottleneck, kernel_size, padding=pad),\n", + " #Expand back up\n", + " nn.BatchNorm2d(bottleneck),\n", + " nn.LeakyReLU(leak_rate),\n", + " nn.Conv2d(bottleneck, out_channels, 1, padding=0)\n", + " )\n", + "\n", + " #By default, our shortcut will be the identiy function - which simply returns the input as the output\n", + " self.shortcut = nn.Identity()\n", + " #If we need to change the shape, then lets turn the shortcut into a small layer with 1x1 conv and BM\n", + " if in_channels != out_channels:\n", + " self.shortcut = nn.Sequential(\n", + " nn.Conv2d(in_channels, out_channels, 1, padding=0), \n", + " nn.BatchNorm2d(out_channels)\n", + " )\n", + "\n", + " def forward(self, x):\n", + " # shortcut(x) plays the role of \"x\", do as little work as possible to keep the tensor shapes the same.\n", + " return self.shortcut(x) + self.F(x) " + ], + "execution_count": 46, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:45:50.433303Z", + "start_time": "2020-12-28T17:45:50.420355Z" + }, + "id": "F5vPX6X7DliX" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "cnn_res_model = nn.Sequential(\n", + " ResidualBottleNeck(C, n_filters), #BottleNeck to start because we need more channels. Its also common to start with just one normal hidden layer before starting residual blocks. \n", + " nn.LeakyReLU(leak_rate), #We are inserting a activation after each residual. This is optional. \n", + " ResidualBlockE(n_filters),\n", + " nn.LeakyReLU(leak_rate),\n", + " nn.MaxPool2d((2,2)),\n", + " ResidualBottleNeck(n_filters, 2*n_filters),\n", + " nn.LeakyReLU(leak_rate),\n", + " ResidualBlockE(2*n_filters),\n", + " nn.LeakyReLU(leak_rate),\n", + " nn.MaxPool2d((2,2)),\n", + " ResidualBottleNeck(2*n_filters, 4*n_filters),\n", + " nn.LeakyReLU(leak_rate),\n", + " ResidualBlockE(4*n_filters),\n", + " nn.LeakyReLU(leak_rate),\n", + " nn.Flatten(),\n", + " nn.Linear(D*n_filters//4, classes),\n", + ")" + ], + "execution_count": 47, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:50:07.994399Z", + "start_time": "2020-12-28T17:45:50.434721Z" + }, + "tags": [ + "remove_output" + ], + "id": "IIiqODHQDliX", + "outputId": "f67bf82b-9974-4d72-ad15-5d3ab10f2d2d", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 66, + "referenced_widgets": [ + "bb023b97d6af46fdacb249146ce23d18", + "eb3697ecbe4f463f8bc6a5695b3d69ac", + "9ea39c93b4a84f6192a5e0b0860dab4a", + "2941538a9ee549538b468bcdbcb4b513", + "80014b03a7e141488dfe9579cadd2c96", + "af6fd5cde8fa420c9a78533868bf092a", + "13070b57435148508d7ab85cde52994f", + "9c951c479bea4fbc85a240939921b10d", + "d61b4240bbcb4537b7ea3c633c56be57", + "2188bd3a50004b1883fad949ee5f792d", + "79d6be3acd7b4336af39184b5dd55d7c", + "0afb41b0c9b044379e6c30ea1e69fd3f", + "ccde210e7cff4b51b3a24db40ca63b1e", + "1854e8d44d74499db8f7bdb548dd52bb", + "104ecb92511945f4b4cafcb363898984", + "c983989bf7d5411d9b33bf24346a1b64", + "a0e5cce03fcf47fb94110695c7962694", + "9e5541c817734d82beee27979b4b1f75", + "045cd805c47d4da39bb4133446b7ca00", + "51ad5213d6ce4748aa48b0ebcda6d8f8", + "33a6b85961d0400680d62c667f2fb64b", + "b72272b7b0e74504b7b3d4b9d35ae97e", + "3134a39df6f34be0821e028510fbe74e", + "5025711fd14d42019d6f19aa038f1eec", + "b7fbc7ad3cdb4309980d39b028578e6c", + "01b07317c0014eeebe2923e8966ef1fa", + "af9025ac16ee4716b53267c422471a66", + "982753caee47465b87ec376ef2b2291d", + "77b23fc6595a41799996b85f753ab347", + "3787931a94dc4c7d9531c7ffecc7d641", + "7d6ababa5cec4412bfbf7770f779fd65", + "f9949346a2fc46caafaba3a7c5c4425f", + "2db862c296e744948676406f1b488489", + "0ff4a5c35a8c494a867639c0b98639eb", + "65570931af4d43dc9d72f4bbf18a47ae", + "8c44b85d4f39468fa80e91ec64e8dd9a", + "b83eadffe4b14ada8d32bd6f28808c9b", + "f2fa8c3cae9e4d768ace7bb80e067201", + "52d2a10ca3ac4b76992e3b78528ed93f", + "f6c7efccf8124c6fb1f414b9c564612f", + "fec814e472ee48bb8d50ab6fa58d47bb", + "0ea9dadbed8e4409841725845ace54ee", + "3dabf67e36314d9e96fb0274e31028b8", + "71928b9213344197afccc67f76d33904", + "fc5c23a1c7bf4132abba142f8ef501ef", + "879e512f3a4047628cbccad43e2b99a2", + "c57a537032184048a97666343a462763", + "113a556be96e47d4b205b7ae200e2398", + "695e3fb8fc08448096eaccf05645a295", + "7502cee35621416fa5bb0ace814874cd", + "5f4cda8490ab4d349ee1f3063e91267c", + "5e58e4150e414d83bcc8c5ed283c68a4", + "854c4cc9724d40fab4f0b36c253e28c6", + "4750ecd4ea354233b4263182fbb70ad1", + "cc2cc9d3eccf48a0a31535919fe8e8a8", + "ad035f4898354dfcb9db85f31cdbc0d6", + "0b34bc5cb22241769ce08fd29166af95", + "41610fd302fd4922b7d641324e0b86f2", + "32296e4b0c274723ac5c498cae7e6adf", + "a4e0123bc374456f940046c1bb3f736f", + "ac838d3838b54de4853419000aabecea", + "581d0cdf968d4417a4460759b5020b6e", + "584ab2b36dd34a02ab268632c087e6aa", + "ae335bdd10e14310a423d0ed7f578c4b", + "622156d077cd455d905ea299fd7092d0", + "d4a488383f2b4cc98ca98c27af526560", + "6e5b0b3ae1b34f80ba377317eaa8d885", + "70e9c38a4487436e9893f9ab02d4a64f", + "93c89d85783b4b4f972960a41feb988e", + "cbd6011f1b46417aa2a32ca6334fc7f5", + "51b49373145542a6a921e1570ab67899", + "65ddd5503aa44e1890d4c3c80c21a0e0", + "43f1c59714f143fdb85f896e65cadfd0", + "104dd41ce19440c5b72b6ad189db196d", + "a811d53295df4d3183dd960d4b3c6f82", + "e15f13ddd77a4550bca94192991d9ea4", + "aef7fc0bee6a45e186470e7721a90493", + "c473ee7edd1947218e2168621263e5d2", + "b2c2cead081740568ba7267e3dd3382e", + "7f3482d3eed5411a8c2996d6949425d0", + "c3dd53422f9246c2bed5d4001e95cb9d", + "7b633bb9f81f407e82cd421dad77d666", + "d97099b7115d4fd8a5d50885313b0c0d", + "280cdf7321f54fa18ea779446fb9b689", + "c1fc987de047429987b70902985cd201", + "867fd65ce13d4d1bace8f28b0a2f924a", + "64dfe4ee70f44e2b8de16b0494de8634", + "9249bec4b0b7425cb97db28d6c96e3da", + "7bdd766a4ec74315977a9d10135b3957", + "48ad724796264fdaa4a36aab3934c0e6", + "3770e7d710724ecd971ebeee10725c53", + "6c0a9a9b16b44150a50611b401a970a9", + "c9c7e92393eb4ceca49ec2a9646116ed", + "30994f3e15d44a3c8ac6248dad94ccde", + "65d6fa2a46f44fc8a12d8310d1804d03", + "c7597882e345400291e34f4b35c47bcf", + "8f1034a035b24481878e2812332ae315", + "fd31d949c40d4bdb8db7d095e8af7f8c", + "c93b7d22d91146339f86122768d5c03e", + "3affcec8c4834aa08840714994f1e6c4", + "4146217f92d2486abb8151cecac79f7b", + "58e3ea59248341b2b7a7995516657d93", + "263997b941fe414e82d221e9a5b5add3", + "b60e0e6c2d0f45adafcca959cbfb683d", + "96933cdaa9e14785b585ff65d8af879e", + "17635c9b0f33447b934aa1804c5a7cf6", + "ca6849f39e9944fe8b0bdb9921a362b2", + "328c5f30b94241bb9d69dc7478e51e01", + "7402afaa02bb4f8ebf0d23e73113058c", + "e62aab20909f4df2b29f5c317d758000", + "fb4845d3f29e443cbd7e58b68118d840", + "5fffaacad98e481c968f11c77f727da0", + "d3a9b3b704ef4bcea383b3fb7ba2c724", + "d51104ab0d814bda96bdbc7f7ad2914e", + "aef444739b1346c08ef4aeecdb94e608", + "3b7a0dbdc8ad46cf9e1b5b60f6baefda", + "4dd5d08a84dc4502b0a72d8b21c528e7", + "2739f2bf24b249a6a190ecd123dca428", + "132a044e0cc74440a868b34c745724bb", + "20977f0157c343e4a6662aef763022b5", + "218039b9228344a6b054fd3334869bbc", + "4f0996b0776f4434bfd5c820340f4b33", + "63de59752c084cb78bcec216fc9f803e", + "7f779c542b9a44129b0b2186bd69c366", + "5e36a99348e34f5599d9f24dd39776ca", + "b8685501535240af8e0cc017145c2986", + "42262dc9e9004489ac98a5e56e0d1810", + "6ad13365d38a45f1bccb4b2ce5098529", + "6bcb5950e6294b6b84aab598a768b680", + "b6283911357a4ced82dc7e019470dd5c", + "7d5af012ac00486793a259b056d682da", + "a5b078c7edd34e678393da572b3ae1a5", + "356135c9f5f24027bc91b4d2578ea6b1", + "976085badbb64b61a2e7dbe78e3da6e3", + "849429168b7a4d748d041e0d3d734f03", + "8e32b0dee88f4e1692613a90b38f7a29", + "a102102a6f7e4b02860c5dc9d6c25ce0", + "38302e9c4f224b3686ec6f8b1bea11d6", + "e59a05adca4f40ed86ae46154df9c8d3", + "bdb439fedf7c4e138db544674c21a186", + "3acb3d42109141ac894f2da260145b77", + "b19e7974c87f4e05bb01f1ec4d7c7d61", + "0c142d247bc840d682606b2a44ee7b0c", + "9955b1abb5414155923556365569b08b", + "dfc7ea55656a4689982d6c9fd8caad05", + "47d92f92b05743df9a231c3aaa33cb25", + "4168b438f82f4824b9d1479983b4c4de", + "a29edc84c1084bdca1bd0efcac1dcbb7", + "db75a00ebc0c429b842306850da53e5d", + "b53d5403aff745e8b10e46bc9a8879b1", + "f9a776316e174beaabf4f35f8e0f8295", + "5f45ecaf824b46dba83a305a4f60e5ef", + "4f1024cc3b7049f293aad03cfaf85b05", + "f23883ed41ab4d44892a64de290dcf5d", + "a246bf8ff48c452086206d04e3b94caa", + "c7f213e5c9394201b205e677cd7209e5", + "f1d3548b60a74d7ea9cda90f09ee2132", + "bde32d6ba5ab457ca63a246349ff7113", + "a6329d0fa29041f98994828787874e36", + "b4959d1c789f4a2aa4d8681c1351d02a", + "19e06faf5de343be9a4e15186324602f", + "3da1076de103497389c936bfebb9e8cc", + "fb088870f4ba47cd9f580d811aef1b24", + "60f9ff4a1b2c4b05b6f0ffeb9d01c7b1", + "1b81b6801f0b4be886465054c38f90b6", + "94fd8e538e654d3eba7aaaf25b49a124", + "cd7026259f0a4771ac8cc8292c0a10a2", + "538db7d8d2324262b382f7f1d4444e73" + ] + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" + "source": [ + "cnn_res_results = train_network(cnn_res_model, loss_func, train_loader, val_loader=test_loader, epochs=10, score_funcs={'Accuracy': accuracy_score}, device=device)" + ], + "execution_count": 48, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bb023b97d6af46fdacb249146ce23d18", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d61b4240bbcb4537b7ea3c633c56be57", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a0e5cce03fcf47fb94110695c7962694", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b7fbc7ad3cdb4309980d39b028578e6c", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2db862c296e744948676406f1b488489", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "fec814e472ee48bb8d50ab6fa58d47bb", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "695e3fb8fc08448096eaccf05645a295", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0b34bc5cb22241769ce08fd29166af95", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "622156d077cd455d905ea299fd7092d0", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "43f1c59714f143fdb85f896e65cadfd0", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c3dd53422f9246c2bed5d4001e95cb9d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7bdd766a4ec74315977a9d10135b3957", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8f1034a035b24481878e2812332ae315", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "96933cdaa9e14785b585ff65d8af879e", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d3a9b3b704ef4bcea383b3fb7ba2c724", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "218039b9228344a6b054fd3334869bbc", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6bcb5950e6294b6b84aab598a768b680", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a102102a6f7e4b02860c5dc9d6c25ce0", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "dfc7ea55656a4689982d6c9fd8caad05", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4f1024cc3b7049f293aad03cfaf85b05", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=469.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "19e06faf5de343be9a4e15186324602f", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=469.0, style=ProgressStyle(description_w…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:50:08.271371Z", + "start_time": "2020-12-28T17:50:07.995621Z" + }, + "id": "IpAnQwuYDliX", + "outputId": "7936d8de-9960-4ec4-b504-16c5f87308c0", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 296 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_results, label='CNN')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_relu_results, label='CNN-ReLU')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_bn_results, label='CNN-ReLU-BN')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=cnn_res_results, label='CNN-ReLU-BN-Res')" + ], + "execution_count": 49, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 49 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:50:09.087520Z", + "start_time": "2020-12-28T17:50:08.272649Z" + }, + "tags": [ + "remove_cell" + ], + "id": "Xg2C_A8pDliX" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "zip_file_url = \"https://download.pytorch.org/tutorial/data.zip\"\n", + "\n", + "import requests, zipfile, io\n", + "r = requests.get(zip_file_url)\n", + "z = zipfile.ZipFile(io.BytesIO(r.content))\n", + "z.extractall()\n", + "\n", + "#Zip file is organized as data/names/[LANG].txt , where [LANG] is a specific language\n", + "\n", + "namge_language_data = {}\n", + "\n", + "#We will use some code to remove UNICODE tokens to make life easy for us processing wise\n", + "#e.g., convert something like \"Ślusàrski\" to Slusarski\n", + "import unicodedata\n", + "import string\n", + "\n", + "all_letters = string.ascii_letters + \" .,;'\"\n", + "n_letters = len(all_letters)\n", + "alphabet = {}\n", + "for i in range(n_letters):\n", + " alphabet[all_letters[i]] = i\n", + " \n", + "# Turn a Unicode string to plain ASCII, thanks to https://stackoverflow.com/a/518232/2809427\n", + "def unicodeToAscii(s):\n", + " return ''.join(\n", + " c for c in unicodedata.normalize('NFD', s)\n", + " if unicodedata.category(c) != 'Mn'\n", + " and c in all_letters\n", + " )\n", + "\n", + "\n", + "#Loop through every language, open the zip file entry, and read all the lines from the text file. \n", + "for zip_path in z.namelist():\n", + " if \"data/names/\" in zip_path and zip_path.endswith(\".txt\"):\n", + " lang = zip_path[len(\"data/names/\"):-len(\".txt\")]\n", + " with z.open(zip_path) as myfile:\n", + " lang_names = [unicodeToAscii(line).lower() for line in str(myfile.read(), encoding='utf-8').strip().split(\"\\n\")]\n", + " namge_language_data[lang] = lang_names " + ], + "execution_count": 50, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T17:50:09.095494Z", + "start_time": "2020-12-28T17:50:09.088943Z" + }, + "id": "BlNjmsIaDliX" }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "dataset = LanguageNameDataset(namge_language_data, alphabet)#Reusing our code from chapter 4\n", + "\n", + "train_lang_data, test_lang_data = torch.utils.data.random_split(dataset, (len(dataset)-300, 300))\n", + "train_lang_loader = DataLoader(train_lang_data, batch_size=32, shuffle=True, collate_fn=pad_and_pack)\n", + "test_lang_loader = DataLoader(test_lang_data, batch_size=32, shuffle=False, collate_fn=pad_and_pack)" + ], + "execution_count": 51, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T18:11:25.854520Z", + "start_time": "2020-12-28T18:11:25.850266Z" + }, + "tags": [ + "remove_cell" + ], + "id": "wvaHIXIIDliX" }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "set_seed(42)" + ], + "execution_count": 52, + "outputs": [] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T18:12:37.765935Z", + "start_time": "2020-12-28T18:11:26.405661Z" + }, + "tags": [ + "remove_output" + ], + "id": "7hn0qSZpDliY", + "outputId": "76a45d11-d23c-477a-c8b7-708f33d300d5", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 66, + "referenced_widgets": [ + "36ed92d65e0b4c3582e1f7aa5022a89b", + "ffa1706039d64cbfaec1ab8a88125d08", + "a34ef1b5f7ff45799721b45442c7fe40", + "a20e894fb411495598a09817c08901a9", + "15ae621c5df242dd9ea30e43f80aa00b", + "089b32c7c83248ba8d186ef1a34a099a", + "7e01da2e9771459a905f1136a7adb532", + "5b8c81de7a544bbcbfd95d717142661f", + "8deb4a82885e4337b516a198264568a9", + "70f9beb58d094c6092cf6e9dfd0f7f61", + "adb3f44eddd543caa4d18b7f5462b236", + "c582be1489b14e558dfe0c085a0ca4c2", + "4f69b06a88364949a00f594d9bb356b3", + "566c650a0f664e2d93f88f7115be812c", + "16f1c48e12c442fdbd7ab3aaa5fa3294", + "07e8caec2292436dbcec1f86008506d6", + "1ac7e36eb96649e0a8985acfc7c56aa2", + "c57ff0bd06354ea485605520d4192636", + "735a923a2428452ba7b4fef9f5e08e87", + "00a1a02192534294a342528a00c668c6", + "688ba0604bfc452c836a3e268abb3ff3", + "5ddc3cd305344b62b2aa4ac1368612ac", + "0cede02c706149fd9b7e079c938beaf3", + "0f2ace7c3c0041fb9ad085ed3a43c4eb", + "2c1f755b92b846ef8afb871dbc26a41f", + "4897d32b92d847918afac3daefdbbe55", + "32fada5346fa491caee75501e935ff24", + "db010ea7392a491a8b5ce50c7cf3d964", + "dab83e73c50e4da182c15cd926a27199", + "59f87bf4ab62406d8f080d2545d458a3", + "9d291c3c70654c0e95eb87896a1968fc", + "1ad1d604351543d58ab395cfc20b990d", + "e7479fb01a124841a4a872aec47e7a3d", + "902b3998eaf241fdae7dc5942b957bb4", + "c390b5acd07143248f36e40789b88584", + "949fed2522e94930969d2dfa738fc096", + "165ca0eee6ed4afe820b4c7da3401e2e", + "6e3373043c834254beba68d32d28050d", + "5919dd910a9b4a14b537ef656ae9f925", + "fab564ff55434c8daaa3057fe44aeda6", + "dfa597b1190a47bfab0455f752ed42ce", + "754d1b2fa80747a8b12456b1322faca3", + "d0e21197e6244310a6bcafae018f3657", + "6091773e32e84025b3adc74437ac1041", + "3865ed83125d44578f1ecc3c0c48c4b5", + "5e14263cfa1e441a8dde099acd23cf7b", + "26e1ce307cf44632bc08609646a3f2e2", + "43b40690bc844271b11f0785788ee6a3", + "b1a64992cb7741b291724eb5a006bf0a", + "4fc697f1a26047708667dee34b88c30e", + "bca8fe0f6d9a4d91bcd9a7a44e33be4a", + "f25556207a234bc6ba93a91cf1d678ff", + "cd695bfb99d54dcda8b914830a1f3c60", + "9af0d847e7d143ef80b22b6cee0d9b79", + "763fc82c07af4b308001eebd0162a1d7", + "9d0c9a8f722d42c393aaacdeebe52894", + "b577e0b0483d4dc2ab50d48b59f0bf70", + "ee0147713a414e9b9dc8dd556ffc601a", + "50c1fb410d6649dd98162cb25f21f209", + "4b809883095c4a5c982c5fcbb2cbb23a", + "0c6febab8d3946eda3a83a80af5aedfe", + "62b4389446ff4971a6c16fd396859e81", + "32b2026ba705400a8384f543e769fccb", + "80dfc7f844084609b1b007e2b44e0bf6", + "b88b0c18804e4e7394e4ab76ce2f9b99", + "54adf93997064889938730cff870b3be", + "fc54260ad0ab4dcfafdaaba8ea3db36d", + "cd549e41e7dd4ffe929c26927ccd1c09", + "06adf0a4e335485bb4ab50841ef895f0", + "4b4a48841f2b4b658ee5dcad88ed3eca", + "2a6764de4df74e819dc8050f82c77f8d", + "c9350f61ba0a47ab8354268204e6f6e4", + "f8762c94527740399260a395b645698b", + "3eff32c25a4a40669e218ad9e38fa4eb", + "8ebb162aff3440dcb1ca28642f816642", + "b863b2a1811b45189ea5daca5a5e97b0", + "f8b758a5a97e42b6933e70241256731f", + "45b84f97d23a4fde855acef430508170", + "325a31f2fa574b5c876265cf9733db9c", + "7e7167869eac462dad332f46b472b1aa", + "7436b98ee7304c35b46ce8cbbc900831", + "d5a77da28a2f4ff498b830f5fe58be08", + "5683bc195ef54e3b9739c8a15bf20c26", + "dd7e3a78ee154c90a046406c2a409a92", + "258a3c2c195e4fc086f331b33fe667c9", + "d2f55f5903d1400bb82123bd14ca18e9", + "1688c25d185946369e80e1597bb11e1a", + "0c1b5eabfde548e1914d58919d905390", + "3d0f4038aff64282a75ed6341751bf1d", + "cfce639e95714723b472b9e4ccb75b0f", + "b9b2edf3491f4b368673c5bc21a16347", + "3dcf54fea9944084aee5766f59e168f0", + "0b9f8a6c3afe480f89a3977189d7fe23", + "cfe1bd1e2f3e48e38e4b8de3ec0b90fb", + "806cea089e7846b6b26b77c9401a3319", + "4414ab08486543ff91c97a0a803b074c", + "6273be9cda97464b908bcc1976bbcf39", + "7aed9cdb17f24246b2901aac61365d8c", + "028845dffd2747a788924ccfb53ea408", + "3f05e945b20543e9892235508a938c87", + "b97cb0c7935d468f974f5112a7c4a1dd", + "e659546e20db48db938eea249a8bc123", + "bcbb2be9f4244ce4896c2989d20915c6", + "2fe95db9968b41b585065cee7aaf8d92", + "9f9590c955474deabd011067092da6b3", + "598326a6c3c44d9ca41aabfd8edd1462", + "caeb9bafce5843ba974c60f2988140cc", + "3b556fcb533a44f19b86f59267bedaef", + "450efe544c074c78ad3143a13a13d4ab", + "9437c8abedd84bd4a1d9e910faccf81d", + "118aa02e6c9444c1855af7563c69d109", + "db279a6ca8d84a7795bcd90881c4009f", + "198d764ec7bf48d89e0325868eb37300", + "8507479dcedd4232be6df60678fc22cd", + "42276adafd104bee85e458f886045b29", + "e6577c5499df4d489736619e74e1f8f0", + "6c42559a63a545e3b3338dceda52621e", + "5679c1eafe264f05bd384ccca4b5ed20", + "59159b8cc2374e29ae0b02fb83b6590e", + "5f794e9169014959b41b5ae4c2fe3875", + "09bde6318f32488ba62eea05df6723e8", + "936d2c4044f149419299fdc4e428230c", + "ff70dfbc5dc34252bc5e6a7ee5d6e7e8", + "53c0c0cb7aa34fc5939c483fb634aa78", + "cf3f6f7421b74a12ae22787d98402535", + "f0a01b39aa17437da28122b6f57dc440", + "113d9edf8e974766a0a05b3e442d40d1", + "ba91836acbac474b9ada8c963560cc76", + "8684ebb6b4014697bac613a3826e146a", + "b81c25a7f4d940eea44df4d95530a82d", + "6fc36984d4ba468197b15047f1a2f4a8", + "2a05d0e8bbba47cf978eb74ba1e32bc9", + "e68b9cf201ae4e76a77fffcd92c25d5d", + "e2733a337bff47c1bf8439eec1eab8a5", + "047d22f0277a4957b7487409807ce5fb", + "4689ba0f8dbf4c8ca6c6212be32da0a7", + "14968e13ba2840fc8705648173a1d584", + "397b8c1b30d04b27a2fe264fd5980d44", + "1f9b213e5e274cfaa124327af3e06d7d", + "714fc3fc9e504fbb8fc6c0ad345a288b", + "ba48494b7e614b94815e35c038217d84", + "6853a760ebe44145a194f189f0e96cf4", + "8e639410ef86418e8e7700d3999b952a", + "d5faf005ac3c4bae862e44d7a87d329b", + "e6e5d368417645d0b5f8058c44a0f260", + "2b0140286d704c4fbad37d5f2ae87e22", + "b6e4739750de43d4a840c6244eca51ab", + "684140e67ca54013a95547037bb940ad", + "27844fad4d454b409cd5924bc0d8f7e9", + "80c9dc8b9cbb4fcd90249a1cd488fbb3", + "0c494c85a1bd4e1abfaccfd574ddd96c", + "73c44026fbf94d398d19e956c0be402e", + "aa1c5e39f5e3447f9e737ccf56b0e462", + "4ae479a993e843b7b55800216c7ee5ce", + "b5e6d81515254b8b98239a0630530fe4", + "3506addbbf3344d6be94df5d774f0d5b", + "37fbee6d2cc54e268007bc803b6d07d4", + "52ef8b7a020044e0a12a1014e60ac9e4", + "e4975418c2734e4d85f63a6bb7cc26c3", + "c99f329170f24de998abffbe41296196", + "1903dd3707fe4a06809ecbe9adff0824", + "4c96d2c2627d4fc7b575c586ac378c8a", + "6fa77e7172214831af1d30fef19514e2", + "d52768d4b481468e9d49bffc304337c7", + "26f74a0bc71a4b6a93e213edb60f0df1", + "77a30eb80ee14149aeb2e4becc8b1ecb", + "1004b20f8dcc45ba8fb03620844b13f9", + "1d9b3fa50a40457988fab5baffba028b" + ] + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "rnn_3layer = nn.Sequential( #Simple old style RNN \n", + " EmbeddingPackable(nn.Embedding(len(all_letters), 64)), #(B, T) -> (B, T, D)\n", + " nn.RNN(64, n, num_layers=3, batch_first=True), #(B, T, D) -> ( (B,T,D) , (S, B, D) )\n", + " LastTimeStep(rnn_layers=3), #We need to take the RNN output and reduce it to one item, (B, D)\n", + " nn.Linear(n, len(namge_language_data)), #(B, D) -> (B, classes)\n", + ")\n", + "\n", + "#Apply gradient cliping to maximize its performance\n", + "for p in rnn_3layer.parameters():\n", + " p.register_hook(lambda grad: torch.clamp(grad, -5, 5))\n", + "\n", + "rnn_results = train_network(rnn_3layer, loss_func, train_lang_loader, val_loader=test_lang_loader, score_funcs={'Accuracy': accuracy_score}, device=device, epochs=10)" + ], + "execution_count": 53, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "36ed92d65e0b4c3582e1f7aa5022a89b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8deb4a82885e4337b516a198264568a9", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1ac7e36eb96649e0a8985acfc7c56aa2", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2c1f755b92b846ef8afb871dbc26a41f", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e7479fb01a124841a4a872aec47e7a3d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "dfa597b1190a47bfab0455f752ed42ce", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b1a64992cb7741b291724eb5a006bf0a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b577e0b0483d4dc2ab50d48b59f0bf70", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b88b0c18804e4e7394e4ab76ce2f9b99", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f8762c94527740399260a395b645698b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7436b98ee7304c35b46ce8cbbc900831", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3d0f4038aff64282a75ed6341751bf1d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6273be9cda97464b908bcc1976bbcf39", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9f9590c955474deabd011067092da6b3", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "198d764ec7bf48d89e0325868eb37300", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "09bde6318f32488ba62eea05df6723e8", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8684ebb6b4014697bac613a3826e146a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "14968e13ba2840fc8705648173a1d584", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e6e5d368417645d0b5f8058c44a0f260", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "aa1c5e39f5e3447f9e737ccf56b0e462", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1903dd3707fe4a06809ecbe9adff0824", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T18:13:52.066071Z", + "start_time": "2020-12-28T18:12:37.767674Z" + }, + "tags": [ + "remove_output" + ], + "id": "dh5Y54WIDliY", + "outputId": "3fb73fb6-f0f5-477a-a207-dee912ece612", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 66, + "referenced_widgets": [ + "5e9e014996844d6d9b7d72ca3a9083fe", + "f22fcb47a4244e0eb751c96686d1331a", + "8d7b1f0e04e74e188201e8f839d1b0ac", + "2bb965c7e0be493db3e57b90726e0a3d", + "dfd646a789a34d5a9539a5e2388c5b62", + "742c94dc4fbe44a299abd959895b9cb5", + "cee82f03f16e4df792880cfe53a680b1", + "298f377b93934ebfbc54ab84a706841a", + "b654c16dd38b48b98a67c11cd94f5500", + "1c8d61206ada43518f73e5e2bcd4fc7b", + "b5bab70a8d8e4fab890a13df854444d2", + "7ac002e0c1df49429decdb2596a99db5", + "013a3851647a44909fe583b514358bea", + "7aa95c06427246f7b8ec3d70538d5981", + "fd18f8d5915b46a3a61cf9b76e2a5eaa", + "683603ecdf724410a1791a7ddb041ddd", + "f4e011ae0106426bb0448e78d423c10e", + "1803995ee3554535a824f3a699307933", + "cdd7f649448d42988cc3c2716939312e", + "db535441c41b444085582d5ae64ce2a1", + "7d3a792d8c644e16a5b27d521b33a982", + "2ea63330959e4da788ccfc4b595fc797", + "fe130146605b46229869c1c852ca230f", + "c898303da4204357960c1612fee78cd9", + "2d49d8a14cd64e3a9de30d9a2fe85acd", + "635bb320574245d69eb3b8939d5d76b1", + "c5fe0f5229414f16b28546b4a4f0594d", + "3120ca6fe41e4b21a8f0f58a5bf5d52a", + "b198264c059b43baadecf8bd3a8439ee", + "0c1fd0ff0aec40548e76fdd3660c681d", + "4464f731ef8e4790af35ebc21a738405", + "511bc5f2de584f23a842fc32de16e1bb", + "0d87f0774cf546b590469a2b53e76ade", + "7e6c6f029e3443f7bbd0de3386ade0e9", + "2b04c66234304ec797afda584d370690", + "55e8c1d7f9204cdfb9ec94417e8bceb3", + "29bb7983d58d415aba260293ed29e870", + "ef989bdea84845b2bae561528885658a", + "7a49df4d234940f0a1c6023bce936e3f", + "fba5ce9f5bcf4a7e9ee49d594f8e29ec", + "9df1cc6e522c4095a45f30304b9e86cc", + "b15d442723254f1399441418d1813f74", + "3026297d38a44705b7e5de49d31d11f3", + "de536bdaf0314aba819787c313442768", + "33105c09a9c847e4b11d5a598332a103", + "4a73b43044cf41a7871420c688efc26a", + "a56b0f935b984db4a932d9ecdc30c654", + "c4949d7e26564b6c978882f6d14c6edb", + "b4da1559b5ac464fbd4538101205e78d", + "5528a9bc219a4b31b1f6cebf18f2c08e", + "0685cbd0d3814f7eb1a0c85bb1570258", + "ae5be5fb639344789adc57935e7c0ef6", + "523d52edc6384ecc8df333b0c2134c3a", + "b1d2346874804b41ac8b787d915cecad", + "d774744a047d4ff28d60586f04576d72", + "c9c5864a4b854549a459ed0644cbbd18", + "220f8bc5915e4de792f0498f53fe8ece", + "1f43d27ae6b444cc95f249a94a0fe304", + "d95a4f9b45a74dbcaca855c48b05cd7c", + "c5d89e383e664898823d8d6cd06115ef", + "49951e5ee94a41c9936527c7e2a508f6", + "133d0794ebae46c0995c034c4b928fef", + "fd4067a67d774ac0a502ef0e1c406df2", + "96b405101c0f4ea48a772d6a17d14d16", + "5ee5680f9e024c33a131020de2d492a2", + "de3553de630247aab3204412f65b0f69", + "889eba38d04d41319e3f76ed45db68dd", + "8bd33cc4c95740b1997c4db64c27eba4", + "8f0cacb6b8134965a1f27dd4900e9df3", + "9fa6682cb4a24c9691929f57c56bced0", + "da670055aed340558e2d6f45d10059bc", + "815351588d99448e8eecdc704598e266", + "7a39a003f61e4770adb26fe0a695ab63", + "d0a110053d6f473bae75aa5a95ec9b52", + "19b470f2c91d41149cf572c34eefdb26", + "0b58c597b0a046908ff23961fc009ec0", + "c574b1f9e77e427791439ece70205fc1", + "4ce78f333759497db29ce70b2e6d4ff6", + "afbb8a2d052546a791bd5ed5bf3b8a63", + "67ae1cecb65843c0a6739e1147630699", + "b63ccb684e874a378d1313983a6a8074", + "a5d1e480bb624772810976decdb43366", + "61f7e71a0ff54d87b91a73d1f7ead754", + "a90f6d0ab5ac4d29b3732beea0b969bd", + "fe80c9424d6442cdb5888f7c534449e7", + "4c6f66a90067456ba99ecb244744caf7", + "8b6fa791443c4279b7799ab9804ba8c2", + "9912513f640a432ca0651d8edcbe0fab", + "dd4c37c8c87d4f82aa8f97353cf3463a", + "5e67890ad78b4a278769308eabae5f50", + "2fe0e0584da74f7581b616f7b4ba7e89", + "bf020368a23d478ca632c3d2f30dc981", + "afa6e99772334a8d8c4665079c15b758", + "e4657a0566c44766a77cc375222a52e2", + "387e355de68c43f1a2a0eb3f4b8e8fb0", + "530fa94e522547baa4a463588faa13f8", + "cf8f7ae055244ca8b7d742b0383a1715", + "6d1795bb7bd74b2a98249305ef68ec6d", + "d538654ffe5047f29a365ca1f11e367a", + "01aab0fff14b4edfa6d3cd7055e82012", + "7e312738bca843ee8621915ee9d91065", + "6d7cdf3e33e94ecaae173ee46291457f", + "fc60ffbdbd2742809035433172f682cc", + "8736b65568cc40d4a274ab8ecc5ddee1", + "ef20890475984c95af156fad121db15d", + "5ccaec3ef4664257b614c856e67e55b2", + "f676acf78f914558a0a36242a56b8019", + "5f4b13b0a3a849d384c086f019eabb6c", + "c20b8fa8369f44c08429cc71faa2c782", + "5c55b5e1bcca47b8afc59618f6add363", + "d8f10f34df6c4ad1a65a959b9226b2b2", + "7c5f0e5fdd0843909779a9a94248ff14", + "d145d663a6a840aabec1676c0b2ff8f2", + "5b5d2737987a49c7a1786e6ae8889fcc", + "13406e949eea4e52ab3961141ec988ab", + "99942850c0184faba70b4cb471cd74fc", + "92270b402c85415c873f7008b3589128", + "3cca7054b79945d88360dbcc1d6c0b98", + "4a9961dde1de4f59b034b3754a71bb4d", + "c0b473541933489981e9126859c247ba", + "db4fc692d6f742b893044b65ebeb4a59", + "88c334a1aad94091aed31a07049c5d0b", + "cab5cd4e800644f9b2be705da6e92406", + "889859b0fa3f44f5b68cdc3551217ddc", + "a599cd0b1676415ab9c60e1240dc970f", + "75730d049b2a4585878a612c4653663d", + "15e068c667d84892982cfe6910d3acf3", + "bfa8b85d760c46d2b85bc2c03ef4ea61", + "a6173574eb0d4b22b75e57b9cdddba9f", + "1959f7d492a147bd95206777d5833856", + "ab6171a688884d98bbbd32e796ef5c79", + "65962626ca65432bb29d230e66c76118", + "066a69c010fa4ef781fcf7b8cefe8b6c", + "20ef325d45b04d869c38e44931a3c4eb", + "ad05363c59c846bc9f8e71f111a1fabf", + "51a76256bf034bb6a8690870f7cc8285", + "2d20e72b1e124b51a434d14add8b8e4d", + "482da40335c748cd9b6d27bd8eb73f3d", + "70a226abd6c04f5398827b08555797a8", + "90b93603fc7c4ae89e88834bb0c3102c", + "a9356ef106e04e06906bfe1efb36f977", + "ba33caf5c3c24a76a2edabb2b7591b26", + "47307a3f3e2b4f049bbfa69423d4a2fd", + "b9e065e32d204a7a9ce316dd397147ac", + "d134672a598c43cda539e2ae6d4477bc", + "f47b88bb15264713acfe227a7c06e39a", + "6820808e128e40539c75f732e6584dc5", + "91da01d45fc048c6ae84be0ce1d8bd55", + "f1f38289256740feacc88c625180b41e", + "01923e065f79408b8da1ac69dfc9aced", + "a22c207ecb984b90b622f93c23471282", + "49b2180e3de8439f8fa37f3884d210ba", + "41cf8273664646cb97148c3bee8fbbf5", + "83b34ce3ebf548a29ea6c1eb6738fa9e", + "ab943161266f46698ff9080d892c06f9", + "400fc5a8e30f48889734c835acf0fc44", + "15d157bb86104c898f7bee03b500a2ed", + "aec1d0af42794d398077a1265ae0f201", + "72157181e66042f799829727b89a5173", + "d4f4c3c0a7884221a3f5f26ae4e93f22", + "a1f23297718b4795ae2e47e60885d973", + "341ebf035bdb47f79f6f06c9a7d2b68f", + "ecc95dc148db499a86358c06343ca2c0", + "e0c735d9877a4fd7af9c3903d654c65b", + "fbc0846f86a6434faad54a6c3fc92bea", + "6e92df90f4934857926d3901394f0ae8", + "ec8ebdc6bed44799858899a6064f5513", + "541557f5f1e14a979cb952a241fa7b9f" + ] + } }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=618.0), HTML(value='')))" + "source": [ + "lstm_3layer = nn.Sequential(\n", + " EmbeddingPackable(nn.Embedding(len(all_letters), 64)), #(B, T) -> (B, T, D)\n", + " #nn.RNN became nn.LSTM, and now we are upgraded to LSTMs w/ peephole connections\n", + " nn.LSTM(64, n, num_layers=3, batch_first=True), #(B, T, D) -> ( (B,T,D) , (S, B, D) )\n", + " LastTimeStep(rnn_layers=3), #We need to take the RNN output and reduce it to one item, (B, D)\n", + " nn.Linear(n, len(namge_language_data)), #(B, D) -> (B, classes)\n", + ")\n", + "#We still want to use gradient clipping with every kind of RNN, including LSTMs\n", + "for p in lstm_3layer.parameters():\n", + " p.register_hook(lambda grad: torch.clamp(grad, -5, 5))\n", + "\n", + "lstm_results = train_network(lstm_3layer, loss_func, train_lang_loader, val_loader=test_lang_loader, score_funcs={'Accuracy': accuracy_score}, device=device, epochs=10)" + ], + "execution_count": 54, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5e9e014996844d6d9b7d72ca3a9083fe", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b654c16dd38b48b98a67c11cd94f5500", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f4e011ae0106426bb0448e78d423c10e", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2d49d8a14cd64e3a9de30d9a2fe85acd", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0d87f0774cf546b590469a2b53e76ade", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9df1cc6e522c4095a45f30304b9e86cc", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b4da1559b5ac464fbd4538101205e78d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "220f8bc5915e4de792f0498f53fe8ece", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5ee5680f9e024c33a131020de2d492a2", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7a39a003f61e4770adb26fe0a695ab63", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b63ccb684e874a378d1313983a6a8074", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "dd4c37c8c87d4f82aa8f97353cf3463a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cf8f7ae055244ca8b7d742b0383a1715", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ef20890475984c95af156fad121db15d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d145d663a6a840aabec1676c0b2ff8f2", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "db4fc692d6f742b893044b65ebeb4a59", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a6173574eb0d4b22b75e57b9cdddba9f", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2d20e72b1e124b51a434d14add8b8e4d", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d134672a598c43cda539e2ae6d4477bc", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "41cf8273664646cb97148c3bee8fbbf5", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Training', max=618.0, style=ProgressStyle(description_wid…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a1f23297718b4795ae2e47e60885d973", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', max=10.0, style=ProgressStyle(description_wi…" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2020-12-28T18:13:52.403810Z", + "start_time": "2020-12-28T18:13:52.067852Z" + }, + "id": "FlQAzDISDliY", + "outputId": "2d722554-eece-4423-a20c-adbc3085ed3c", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 296 + } }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + "source": [ + "sns.lineplot(x='epoch', y='val Accuracy', data=rnn_results, label='RNN: 3-Layer BiDir')\n", + "sns.lineplot(x='epoch', y='val Accuracy', data=lstm_results, label='LSTM: 3-Layer BiDir')" + ], + "execution_count": 55, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 55 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "application/pdf": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "lstm_3layer = nn.Sequential(\n", - " EmbeddingPackable(nn.Embedding(len(all_letters), 64)), #(B, T) -> (B, T, D)\n", - " #nn.RNN became nn.LSTM, and now we are upgraded to LSTMs w/ peephole connections\n", - " nn.LSTM(64, n, num_layers=3, batch_first=True), #(B, T, D) -> ( (B,T,D) , (S, B, D) )\n", - " LastTimeStep(rnn_layers=3), #We need to take the RNN output and reduce it to one item, (B, D)\n", - " nn.Linear(n, len(namge_language_data)), #(B, D) -> (B, classes)\n", - ")\n", - "#We still want to use gradient clipping with every kind of RNN, including LSTMs\n", - "for p in lstm_3layer.parameters():\n", - " p.register_hook(lambda grad: torch.clamp(grad, -5, 5))\n", - "\n", - "lstm_results = train_network(lstm_3layer, loss_func, train_lang_loader, val_loader=test_lang_loader, score_funcs={'Accuracy': accuracy_score}, device=device, epochs=10)" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": { - "ExecuteTime": { - "end_time": "2020-12-28T18:13:52.403810Z", - "start_time": "2020-12-28T18:13:52.067852Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x='epoch', y='val Accuracy', data=rnn_results, label='RNN: 3-Layer BiDir')\n", - "sns.lineplot(x='epoch', y='val Accuracy', data=lstm_results, label='LSTM: 3-Layer BiDir')" - ] - } - ], - "metadata": { - "author": "Proof that Batch-Norm does not add representational power", - "celltoolbar": "Tags", - "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": "3.7.9" - }, - "latex_envs": { - "LaTeX_envs_menu_present": true, - "autoclose": false, - "autocomplete": true, - "bibliofile": "biblio.bib", - "cite_by": "apalike", - "current_citInitial": 1, - "eqLabelWithNumbers": true, - "eqNumInitial": 1, - "hotkeys": { - "equation": "Ctrl-E", - "itemize": "Ctrl-I" - }, - "labels_anchors": false, - "latex_user_defs": false, - "report_style_numbering": false, - "user_envs_cfg": false - }, - "latex_metadata": { - "title": "Common Design Building Blocks" - }, - "varInspector": { - "cols": { - "lenName": 16, - "lenType": 16, - "lenVar": 40 - }, - "kernels_config": { - "python": { - "delete_cmd_postfix": "", - "delete_cmd_prefix": "del ", - "library": "var_list.py", - "varRefreshCmd": "print(var_dic_list())" - }, - "r": { - "delete_cmd_postfix": ") ", - "delete_cmd_prefix": "rm(", - "library": "var_list.r", - "varRefreshCmd": "cat(var_dic_list()) " } - }, - "types_to_exclude": [ - "module", - "function", - "builtin_function_or_method", - "instance", - "_Feature" - ], - "window_display": false - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + ] +} \ No newline at end of file From 7a1f768e93ff49f473958a98245887e57c75a729 Mon Sep 17 00:00:00 2001 From: Guillaume Alleon Date: Tue, 16 Feb 2021 06:36:16 +0100 Subject: [PATCH 4/4] Fixed creation of data staging directory --- Chapter_8.ipynb | 5182 +++++++++++++++++++++++++---------------------- 1 file changed, 2716 insertions(+), 2466 deletions(-) diff --git a/Chapter_8.ipynb b/Chapter_8.ipynb index d3e72aa..cc984a4 100644 --- a/Chapter_8.ipynb +++ b/Chapter_8.ipynb @@ -1,2471 +1,2721 @@ { - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T02:59:36.480030Z", - "start_time": "2021-01-24T02:59:35.199989Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "import torch\n", - "import torch.nn as nn\n", - "import torch.nn.functional as F\n", - "import torchvision \n", - "from torchvision.models.detection import FasterRCNN\n", - "from torchvision.models.detection.rpn import AnchorGenerator\n", - "from torchvision import transforms\n", - "\n", - "\n", - "from torch.utils.data import Dataset, DataLoader\n", - "\n", - "from tqdm.autonotebook import tqdm\n", - "\n", - "\n", - "\n", - "import os\n", - "from imageio import imread\n", - "from glob import glob\n", - "import json\n", - "\n", - "import numpy as np\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib.pyplot import imshow\n", - "\n", - "import pandas as pd\n", - "\n", - "from sklearn.metrics import accuracy_score\n", - "\n", - "import time\n", - "\n", - "from idlmam import set_seed\n", - "from idlmam import train_network, Flatten, View, weight_reset, moveTo" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T02:59:36.487014Z", - "start_time": "2021-01-24T02:59:36.481580Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "from IPython.display import set_matplotlib_formats\n", - "set_matplotlib_formats('png', 'pdf')\n", - "\n", - "from IPython.display import display_pdf\n", - "from IPython.display import Latex\n", - "\n", - "torch.backends.cudnn.deterministic=True\n", - "set_seed(42)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T02:59:36.501602Z", - "start_time": "2021-01-24T02:59:36.488116Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/edraff/anaconda3/lib/python3.7/site-packages/torch/cuda/__init__.py:52: UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 804: forward compatibility was attempted on non supported HW (Triggered internally at /opt/conda/conda-bld/pytorch_1607370156314/work/c10/cuda/CUDAFunctions.cpp:100.)\n", - " return torch._C._cuda_getDeviceCount() > 0\n" - ] - } - ], - "source": [ - "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\") " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T02:59:36.514182Z", - "start_time": "2021-01-24T02:59:36.509030Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "#This URL has a copy of the dataset, make sure you go to Kaggle though and make an account and follow the license rules. \n", - "data_url_zip = \"https://github.com/kamalkraj/DATA-SCIENCE-BOWL-2018/blob/master/data/stage1_train.zip?raw=true\"\n", - "from io import BytesIO\n", - "from zipfile import ZipFile\n", - "from urllib.request import urlopen\n", - "import re\n", - "\n", - "#Download this dataset if we have not already done so\n", - "if not os.path.isdir('./data/stage1_train'):\n", - " resp = urlopen(data_url_zip)\n", - " os.mkdir(\"./data/stage1_train\")\n", - " zipfile = ZipFile(BytesIO(resp.read()))\n", - " zipfile.extractall(path = './data/stage1_train')\n", - "#Grab all the paths to the images we just unziped \n", - "paths = glob(\"./data/stage1_train/*\")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T02:59:36.522890Z", - "start_time": "2021-01-24T02:59:36.516129Z" - } - }, - "outputs": [], - "source": [ - "class DSB2018(Dataset):\n", - " \"\"\"Dataset class for the 2018 Data Science Bowl.\"\"\"\n", - " def __init__(self, paths):\n", - " \"\"\"paths: a list of paths to every image folder in the dataset\"\"\"\n", - " self.paths = paths\n", - " \n", - " def __len__(self):\n", - " return len(self.paths)\n", - " \n", - " def __getitem__(self, idx): \n", - " #There is only one image in each images path. So we will grab the \"first\" thing we find with \"[0]\" at the end\n", - " img_path = glob(self.paths[idx] + \"/images/*\")[0] \n", - " #but there are multiple mask images in each mask path\n", - " mask_imgs = glob(self.paths[idx] + \"/masks/*\") \n", - " #the image shape is (W, H, 4), the last dimension is an 'alpha' channel that is not used\n", - " img = imread(img_path)[:,:,0:3]#trim off the alpha so we get (W, H, 3)\n", - " #Now we want this as (3, W, H), which is the normal shape for PyTorch\n", - " img = np.moveaxis(img, -1, 0)\n", - " #Last step for the image, re-scale it to the range [0, 1]\n", - " img = img/255.0\n", - " \n", - " #Every mask image is going to have a shape of (W, H) which has a value of 1 if the pixel is of a nuclei, and a value of 0 if the image is background/ a _different_ nuclei\n", - " masks = [imread(f)/255.0 for f in mask_imgs]\n", - " \n", - " #Since we want to do simple segmentation, we will create one final mask that contains _all_ nuclei pixels from _every_ mask\n", - " final_mask = np.zeros(masks[0].shape)\n", - " for m in masks:\n", - " final_mask = np.logical_or(final_mask, m)\n", - " final_mask = final_mask.astype(np.float32)\n", - " \n", - " #Not every image in the dataset is the same size. To simplify the problem, we are going to re-size every image to be (256, 256)\n", - " img, final_mask = torch.tensor(img), torch.tensor(final_mask).unsqueeze(0) #First we convert to PyTorch tensors\n", - " #The interpolate function can be used to re-size a batch of images. So we make each image a \"batch\" of 1\n", - " img = F.interpolate(img.unsqueeze(0), (256, 256))\n", - " final_mask = F.interpolate(final_mask.unsqueeze(0), (256, 256))\n", - " #Now the shapes are (B=1, C, W, H) We need to convert them back to FloatTensors and grab the first item in the \"batch\". This will return a tuple of: (3, 256, 256), (1, 256, 256)\n", - " return img.type(torch.FloatTensor)[0], final_mask.type(torch.FloatTensor)[0]\n", - "#Caption: Class for the 2018 data science bowl dataset. Each image has a corresponding folder of masks, one for every object in the image. We aren’t going to do that kind of object detection yet. Instead our DataSet class will go through every mask and “or” them together, so that we get a single mask showing every pixel that contains an object. This is done inside __getitem__ which will return a tuple with the input image, followed by the mask we want to predict (i.e., all pixels that contain nuclei). " - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T02:59:37.005088Z", - "start_time": "2021-01-24T02:59:36.524431Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "#Create the Dataset class object\n", - "dsb_data = DSB2018(paths)\n", - "\n", - "plt.figure(figsize=(16,10))\n", - "#Plot the original image\n", - "plt.subplot(1, 2, 1)\n", - "plt.imshow(dsb_data[0][0].permute(1,2,0).numpy())\n", - "#Plot the mask\n", - "plt.subplot(1, 2, 2)\n", - "plt.imshow(dsb_data[0][1].numpy()[0,:], cmap='gray')" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T02:59:37.540753Z", - "start_time": "2021-01-24T02:59:37.006425Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "JVBERi0xLjQKJazcIKu6CjEgMCBvYmoKPDwgL1BhZ2VzIDIgMCBSIC9UeXBlIC9DYXRhbG9nID4+CmVuZG9iago4IDAgb2JqCjw8IC9FeHRHU3RhdGUgNCAwIFIgL0ZvbnQgMyAwIFIgL1BhdHRlcm4gNSAwIFIKL1Byb2NTZXQgWyAvUERGIC9UZXh0IC9JbWFnZUIgL0ltYWdlQyAvSW1hZ2VJIF0gL1NoYWRpbmcgNiAwIFIKL1hPYmplY3QgNyAwIFIgPj4KZW5kb2JqCjEwIDAgb2JqCjw8IC9Bbm5vdHMgWyBdIC9Db250ZW50cyA5IDAgUgovR3JvdXAgPDwgL0NTIC9EZXZpY2VSR0IgL1MgL1RyYW5zcGFyZW5jeSAvVHlwZSAvR3JvdXAgPj4KL01lZGlhQm94IFsgMCAwIDkzNC4wOTg0Mzc1IDQzOS44OTQzMTgxODE4IF0gL1BhcmVudCAyIDAgUiAvUmVzb3VyY2VzIDggMCBSCi9UeXBlIC9QYWdlID4+CmVuZG9iago5IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTEgMCBSID4+CnN0cmVhbQp4nJ2Wy27cOBBF9/wKLmc27Hqw+FjGSMZIds40MB/gcZIxbAceA/Hvp6i2raJaanaChmHoQqwj1esK/a3bvUP/9cmDv9W/Z4/+0u/e3/z47/rm8+WFv35yoPq9qxwD1BI56+WdvYxcQ6mRsagO/eU35x6cxtczlxr6q3PMgXJBEk8cSsaSRaO3Q1ATQzbynZUj1ZAqgGTV5yCdrLQv7tGvISJIKPjyo+Xl/zf+H//gd++opQI1FeifHRyl4lEPJt8S0v6vca7v/e4j+vff/ZW78o+vIUFT0MJCKJrjFlgV13KYIXPtcmFUCPyaCnfh2jNd7P3uL/QIfv/FsYarCILIKfr6+jT7f90f8Kff3/oPezcRnd4RmAmBOpSVByyEFGqml18PkyWtUhDtkJR6mpFHtMIBJEbgCBV7GsICRxlDkVi4oxl1AKNEgVFyyhBFFrDlu7FgQExYe5qVR1WLGCRnZEjafD2Olu8WuUXLInkxL7M8wEW9oXCJ00jSAnf0dmawijZXjpFbLmvIR/JG5Wqoh4kjCVoqSdOMrTXlDOOoU8wJSsea1Q0UB9F+yu1OHWeupPVrFVzrSTOsuWUsZkwdzcjruBx0SlJqtSvala0vV9txJmFtTcEs1JGMvE3SHGpTppgP87beizMJW7NjLbUnzfIJEhSdtWmJtDWy2oamVG2GIZH0pXpTT+SuhDxVa9F55D8d3Gfajf3CXXeLjfXv/l73kftNH9ETv+RH3f0m0knCm8F+8gcnfJ7dUHQ4SarOZoevlNQDFk91Z+UOYqIc+2FzofmGaRZ/0xbdZIt+ZIubsMkb6UxvFELtSlouPisPFp9g1nNUUj1efIv2TqCxUBdIxzLqCFU5VIkvv9PmmHLVFSJUYg8z8oCmPhWAExHqzNWBOWbRhc0pxdLhrDzAZV3DVPWAEGUe2KM6TfsuBMQOZ+UBruieENEvyFJ0Hw3ssWqN+eAB3fwYeYCroF1CwA1x2hu7KTPmKJhCPtI3GqV9Rc2mOPZIA7UmaZgjlxTtYomI9TCOZ1ilXUrWKw10aJb6uRHwbZWc5ZsG2xmnwQ6dc4E9x0Qt1rqoxY5sdIk9w1FtYY2l2sIOPHWZ4t+w1w372fITNbNVZ7rfdCY98WsW1x/oLPYE48r9BMvc/y8KZW5kc3RyZWFtCmVuZG9iagoxMSAwIG9iago4NjQKZW5kb2JqCjE4IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjQ3ID4+CnN0cmVhbQp4nE1Ru21EMQzr3xRc4ADra3meC1Jd9m9DyQiQwiChLymnJRb2xksM4QdbD77kkVVDfx4/MewzLD3J5NQ/5rnJVBS+FaqbmFAXYuH9aAS8FnQvIivKB9+PZQxzzvfgoxCXYCY0YKxvSSYX1bwzZMKJoY7DQZtUGHdNFCyuFc0zyO1WN7I6syBseCUT4sYARATZF5DNYKOMsZWQxXIeqAqSBVpg1+kbUYuCK5TWCXSi1sS6zOCr5/Z2N0Mv8uCounh9DOtLsMLopXssfK5CH8z0TDt3SSO98KYTEWYPBVKZnZGVOj1ifbdA/59lK/j7yc/z/QsVKFwqCmVuZHN0cmVhbQplbmRvYmoKMTkgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA4MCA+PgpzdHJlYW0KeJxFjLsNwDAIRHumYAR+JmafKJWzfxsgStxwT7p7uDoSMlPeYYaHBJ4MLIZT8QaZo2A1uEZSjZ3so7BuX3WB5npTq/X3BypPdnZxPc3LGfQKZW5kc3RyZWFtCmVuZG9iagoyMCAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDI0OCA+PgpzdHJlYW0KeJwtUTmSA0EIy+cVekJz0++xy5H3/+kKygGDhkMgOi1xUMZPEJYr3vLIVbTh75kYwXfBod/KdRsWORAVSNIYVE2oXbwevQd2HGYC86Q1LIMZ6wM/Ywo3enF4TMbZ7XUZNQR712tPZlAyKxdxycQFU3XYyJnDT6aMC+1czw3IuRHWZRikm5XGjIQjTSFSSKHqJqkzQZAEo6tRo40cxX7pyyOdYVUjagz7XEvb13MTzho0OxarPDmlR1ecy8nFCysH/bzNwEVUGqs8EBJwv9tD/Zzs5Dfe0rmzxfT4XnOyvDAVWPHmtRuQTbX4Ny/i+D3j6/n8A6ilWxYKZW5kc3RyZWFtCmVuZG9iagoyMSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDIxMCA+PgpzdHJlYW0KeJw1UMsNQzEIu2cKFqgUAoFknla9df9rbdA7YRH/QljIlAh5qcnOKelLPjpMD7Yuv7EiC611JezKmiCeK++hmbKx0djiYHAaJl6AFjdg6GmNGjV04YKmLpVCgcUl8Jl8dXvovk8ZeGoZcnYEEUPJYAlquhZNWLQ8n5BOAeL/fsPuLeShkvPKnhv5G5zt8DuzbuEnanYi0XIVMtSzNMcYCBNFHjx5RaZw4rPWd9U0EtRmC06WAa5OP4wOAGAiXlmA7K5EOUvSjqWfb7zH9w9AAFO0CmVuZHN0cmVhbQplbmRvYmoKMTYgMCBvYmoKPDwgL0Jhc2VGb250IC9EZWphVnVTYW5zIC9DaGFyUHJvY3MgMTcgMCBSCi9FbmNvZGluZyA8PCAvRGlmZmVyZW5jZXMgWyA0OCAvemVybyAvb25lIC90d28gNTMgL2ZpdmUgXSAvVHlwZSAvRW5jb2RpbmcgPj4KL0ZpcnN0Q2hhciAwIC9Gb250QkJveCBbIC0xMDIxIC00NjMgMTc5NCAxMjMzIF0gL0ZvbnREZXNjcmlwdG9yIDE1IDAgUgovRm9udE1hdHJpeCBbIDAuMDAxIDAgMCAwLjAwMSAwIDAgXSAvTGFzdENoYXIgMjU1IC9OYW1lIC9EZWphVnVTYW5zCi9TdWJ0eXBlIC9UeXBlMyAvVHlwZSAvRm9udCAvV2lkdGhzIDE0IDAgUiA+PgplbmRvYmoKMTUgMCBvYmoKPDwgL0FzY2VudCA5MjkgL0NhcEhlaWdodCAwIC9EZXNjZW50IC0yMzYgL0ZsYWdzIDMyCi9Gb250QkJveCBbIC0xMDIxIC00NjMgMTc5NCAxMjMzIF0gL0ZvbnROYW1lIC9EZWphVnVTYW5zIC9JdGFsaWNBbmdsZSAwCi9NYXhXaWR0aCAxMzQyIC9TdGVtViAwIC9UeXBlIC9Gb250RGVzY3JpcHRvciAvWEhlaWdodCAwID4+CmVuZG9iagoxNCAwIG9iagpbIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwCjYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgMzE4IDQwMSA0NjAgODM4IDYzNgo5NTAgNzgwIDI3NSAzOTAgMzkwIDUwMCA4MzggMzE4IDM2MSAzMTggMzM3IDYzNiA2MzYgNjM2IDYzNiA2MzYgNjM2IDYzNiA2MzYKNjM2IDYzNiAzMzcgMzM3IDgzOCA4MzggODM4IDUzMSAxMDAwIDY4NCA2ODYgNjk4IDc3MCA2MzIgNTc1IDc3NSA3NTIgMjk1CjI5NSA2NTYgNTU3IDg2MyA3NDggNzg3IDYwMyA3ODcgNjk1IDYzNSA2MTEgNzMyIDY4NCA5ODkgNjg1IDYxMSA2ODUgMzkwIDMzNwozOTAgODM4IDUwMCA1MDAgNjEzIDYzNSA1NTAgNjM1IDYxNSAzNTIgNjM1IDYzNCAyNzggMjc4IDU3OSAyNzggOTc0IDYzNCA2MTIKNjM1IDYzNSA0MTEgNTIxIDM5MiA2MzQgNTkyIDgxOCA1OTIgNTkyIDUyNSA2MzYgMzM3IDYzNiA4MzggNjAwIDYzNiA2MDAgMzE4CjM1MiA1MTggMTAwMCA1MDAgNTAwIDUwMCAxMzQyIDYzNSA0MDAgMTA3MCA2MDAgNjg1IDYwMCA2MDAgMzE4IDMxOCA1MTggNTE4CjU5MCA1MDAgMTAwMCA1MDAgMTAwMCA1MjEgNDAwIDEwMjMgNjAwIDUyNSA2MTEgMzE4IDQwMSA2MzYgNjM2IDYzNiA2MzYgMzM3CjUwMCA1MDAgMTAwMCA0NzEgNjEyIDgzOCAzNjEgMTAwMCA1MDAgNTAwIDgzOCA0MDEgNDAxIDUwMCA2MzYgNjM2IDMxOCA1MDAKNDAxIDQ3MSA2MTIgOTY5IDk2OSA5NjkgNTMxIDY4NCA2ODQgNjg0IDY4NCA2ODQgNjg0IDk3NCA2OTggNjMyIDYzMiA2MzIgNjMyCjI5NSAyOTUgMjk1IDI5NSA3NzUgNzQ4IDc4NyA3ODcgNzg3IDc4NyA3ODcgODM4IDc4NyA3MzIgNzMyIDczMiA3MzIgNjExIDYwNQo2MzAgNjEzIDYxMyA2MTMgNjEzIDYxMyA2MTMgOTgyIDU1MCA2MTUgNjE1IDYxNSA2MTUgMjc4IDI3OCAyNzggMjc4IDYxMiA2MzQKNjEyIDYxMiA2MTIgNjEyIDYxMiA4MzggNjEyIDYzNCA2MzQgNjM0IDYzNCA1OTIgNjM1IDU5MiBdCmVuZG9iagoxNyAwIG9iago8PCAvZml2ZSAxOCAwIFIgL29uZSAxOSAwIFIgL3R3byAyMCAwIFIgL3plcm8gMjEgMCBSID4+CmVuZG9iagozIDAgb2JqCjw8IC9GMSAxNiAwIFIgPj4KZW5kb2JqCjQgMCBvYmoKPDwgL0ExIDw8IC9DQSAwIC9UeXBlIC9FeHRHU3RhdGUgL2NhIDEgPj4KL0EyIDw8IC9DQSAxIC9UeXBlIC9FeHRHU3RhdGUgL2NhIDEgPj4gPj4KZW5kb2JqCjUgMCBvYmoKPDwgPj4KZW5kb2JqCjYgMCBvYmoKPDwgPj4KZW5kb2JqCjcgMCBvYmoKPDwgL0kxIDEyIDAgUiAvSTIgMTMgMCBSID4+CmVuZG9iagoxMiAwIG9iago8PCAvQml0c1BlckNvbXBvbmVudCA4IC9Db2xvclNwYWNlIC9EZXZpY2VSR0IKL0RlY29kZVBhcm1zIDw8IC9Db2xvcnMgMyAvQ29sdW1ucyA0MDYgL1ByZWRpY3RvciAxMCA+PgovRmlsdGVyIC9GbGF0ZURlY29kZSAvSGVpZ2h0IDQwNiAvTGVuZ3RoIDIyIDAgUiAvU3VidHlwZSAvSW1hZ2UKL1R5cGUgL1hPYmplY3QgL1dpZHRoIDQwNiA+PgpzdHJlYW0KeJyM/d16JEmuJYotmDvJzOyq7j0/55P0/HoFvYjeQVfnfJqZvburMkmGG3QBrAXAg7VHUVlkMMLdDIafBRhgbmb/r//n/xtucIdeCzDA4WaAATD3tR0OOABsmMdlADaA/LyucPdo0WDxwwBYtAj+gvMLt7jeDb6yve0Oc1hShA1sB+BY6hEGr6ZggBmWwWDeRmQHzIydk2znDa01Y4+u0TjgsA13krIMYL8Alq8T7nD37QYHNpaz1Y3ghOdozcyW6WZArDcTW0ByALh58Ns4Yniy0AGHb7dr+6+Hb8dhWAfWEWTashCAZzdePFeD2/KtwSz6NoQY+KfDYtDoXBXp7uZuHnoSgw25LMBghwG2N/yCb8cF9+C+mwUXk7FmsCQ4OWtuxQTAsUOx3JPC+LUAmLvBzZGsSl7Gr1DeL1/mUlEPgnOIDmzsje1O3eDPFL9VEyChgANX69Jgy7BgZmbxC8Ei33npeG2DL966SZ5B7aeuk29OjW1aZxjDzT932IQ0mYO3xi2OIMeYwzV3d2DBDQ6j+LBgB0iaWehZDi3kFMpKm3NzN2z4dr8CHxyGtdwWThwGW+gKQMuAKErrB3sC7Gy2yG88SSlc6xrgqfIudXb1FerjLi46coC8Cw4s9zQac3eDUdpOo9G9qLsg85qv1nUihNmzGL1dypf08auX+O+iL+/y1CGTMiWcBLwEXDgo0RoQAqZiPIkIhZ6A+xSW63MOxygTc98AYNvNQxLucNBI4qfxevMAnwRDF1MplcHK+d7vfOu8KHtyeKiEP8uIBA4AlE2Gh3OTF6qmU5mS1hBHDsSxQZAsMEmefyHWJ9nn1WV50jryqkyDhFFfumRzLPeXhdJbdgSYudAECIDwJ+aK9o4mt+bjPrtfNU2hXV5AII3qUmp6NXUV5sGCdFQOD7UshwqDuYYIS5dNrY3hLbbvTi/UhmhdXKHEgwWisI2dn7oBOM1XkqbbpqPlnQBtFyULrygsaR0oBiABhZY7cTX0BZbyblDp3S1wdHWbNULrp6LG7BnjdXNMEoJ7E0nj0RZ+xRvQZUVAIjUWw1PvPUI8mh5hDmBM1NRokCWAavDhHC/dBj92MHTdG9fe7h7ItQzLGM1Ucwt0jK1XI5u/MHBMcVVsMgiWdlJJrdtWRsPbfW/3LWYgojQjoiNile5T0vNJvARImVOCVcZGXg0NsXc3623EeWlYYANNoVjoo0upKHdza9bZpJuqYICtlLtR7qEctBnpthfn5fK8/NtQfyOYsNUuKh9/hS/0apUzlYYJ00R2Ol4gQ9q8PP0oma4gXHfbirhMoYcVr92CT4zN0omNOD4ZllMhhrYe+lvRZiGPCAhzM4OdEGspvlT9ziWPOVwMw8p33DR/l1tg54Yw3eb33EyIyUAfcIuGn1ttVw4L1CQkfCkiDO16L0Q3dM0NtL11wwvcAN++NRlmcOCGtXK+M27d2A+q3k4axSJF6Muo3QAsUdMvJ3qTDLq8wmnHTjtzo+FcxKC94dv35ctghnNhWQ6unEDO8p4Z62Rr+/uZ81Lbcb/Vt+3zS4KuORf5uNIlLF2Dgo+amT1T4GSvD0JqbtVulIHv7q2DCClMIAtcgJbu2JNZiimw4OCclREHNlZ8nvIpL9hpN+ZaUIo4vP8zW+lYqgVbSDzl2J9sLG8JehJ0HYTEvNbtLn1BvW84E0KhZMavPam7yz7HtpIr2YXDgQsMxuVwNhuIzFBz8AUjBl8NGSep/tR/f53oISQH/ATXYPzYeg2VGA5cjLZyF/Er59Q5SRWk0XM2K/Lx3ZPXGbTU5zl9Em3B+Sbx7qmsGWuGi/LW4XUU9kIXm+XEwATwciibLr6iJIBATRoZGhGy5mygiGisLjfdoduBTaez07lty2QLVrFOAYZrEDJtdpopzx4OfIEhFOtNT1Bg7XD37iqiX9eXwQIhyMiSuhXWV/d7dMckG9iQM2zrU5lilQSRbtekETau4oShSY78UUqCdwrb2BbltJuVGWCZVbO6c0qQUw6mUEL6wS1l8Vz6+4VfSUVS2COqUq8i+LJSqnbrbM6lyJZx0FBb6l8pTA3TGA2RywzVXCLPJAgv22ksfpE7C76Ydl+K4jFIKDvAwDeDw8/O3n5HGjmNzcnj+vb5xmcmGYXY/aT9VcLi/ond/rAITZlyccNh8nTsZJpZd4VfvO4WqZxRyqXroNx3lT+IhhtABrnK4obrE7CasU6ir9HN4E6RoMFlCwTF5uDijw3f5seCLcZ5X3GwAzeajJuqUefX09zSCYFqOAoVvjluMNs7vIazr/x8MLNnB9Dxq5mt04G3OLJlt81uuCmLZTAAgPmO5Hj1U0HvbbxSJisgDrQw4EAwz2CpjTv56fCwa1t2PCl4OSbhPqgq9UczV9FgLEA1plAZKMJh/fGXFTCzgy8QMTx2F20x3+56It5LBp4aud23a36QVmRCD2Bv8wv+wH7geqS7t4XjsHWYvcIOW3BfN6D6Cipcqopzq1wl9RYISNDue/vi7Ma6q24VHKea+2ADyRlzt5FcM8bi1mxaiCHP4MjZNB4Ox3EUIloTZmpbWUwgbw8ApEN0Eh5BlqbqSb+dBgA7Q+ty+RjzMqcjq2TP4Hv34+SYG72mwe4G5O1ncdAc1kpuMoigeaVZlTaaCYWLp35vf3mDtqJZeVxi5dQpBzK7tdlSD6X509TAiO6MfrU32tP7snOKL1qL4SdIQJOd4kS0tMWihDJbcPOFVW5I2ChXUMbbDMgZ7RXfgcNivhSwYq2hnG0w+WUkTPwPIm1TzyI93qYL5d+tKwCYLokBja9kfwm2wh/P+pLTMMyJv2Du2QHlv2zgl7pxFm0T/p+8i7tvx7Wx3TfJof7Q0LGuC/sTj1/78YGPn75DTIbzxPliP/5xHC9w2EEO3pgguuSX4pOzhCiONArrTXMT8qWeqS0GRpqv0CXFtItza/OagjExNwsJ1CRpS8iOeb64Y7ttb36YkHQrvaRWuPIa1FVBHN94Vu6sqWJQ3Cu44urstHuosggbP7x/IDq6AXVbJhbyJgcYaCthFGZjxK+c5K6WMwk2W/G0CPfRETl283S6Ka6aCYqsznMC3V9TeZz007LuMipZ3XE+Q9sySV1gbURlrmACBmgrDawRmHbYBgVacnlt0Vh+wECBNBYGC9KCbXz57A7yR04eVLctXekA2rC+KZg1pJ7aIj9z94SavvcApRqu6uKYJfNbv6+1QtVe2Iqrmx3MlzMv/oJLMHB94vrExy///OXvf/r1iHjfzxd7ebXXvx0wYPkyK7trFM0RFlKf7eubHXVGtoHS1aT+bfiGO/aFvT3i/eT1BUQa+8XWgfNYjKXIXAcTAE8ZPNGTPso3/Ho4LscDhrWMQNqZ7E19fH6SaPVVpmfcEXoeiUrHvuKjhXtNvJxNfvK89oj2+6ytDb/YalLmXG2nKo+pDpBgbA74RTg04s/JgGq1aTtVTrCt1Ggfh914VaowruyfxCq9zfnZM1dpBp7BQGvII4fDHPkN4fNKr6lTkbow9MSIgppkNeUCs7BIjQ2oH35k+FxZHtLqDat1V65371gw1ihTKnoVC2/c8P5uSj9aKDfR4LQ1NYCNfi3Y7O02E6mpZcx+Zq3LJiVsO7OEMtBio0bYA/wC9R6slbg83CsM+HzYte36xOef1+Pn/vzDP375rz/8/efle8P99RWv3+zb74bvi1mmCMaG8jETQQdOLp2Yy3HAgRS4c4RiZRawac/b3TeujeuCb84A0vxhhmNjnYDttcoJbg16u/I3tZxLdQ60jCGr8rHmyZZ9jUdqQ6t+mnEo2noCzWHp2fcGk/g5xeXKxGTN5vudUmNL5HSz0GiTfqp0pemuNMmqo4y9ZPAA3K5aTJc+2myOqKXhkhJXsX4UJ9vMeQRoNxdM5jEP6Y2JmjUZb+1K3WKAgnJVddqqBHSWDSMKg80gdJh5oCHFrU8NFD81jsG4gSHLCGe8xNQzBCpCEo3j65iUNePgSgQrlbTdRlyiJtwEDZbI5bWKwAm7HEhhi8ZM0iP/kd/pJs2zUFV1EhU5jPofHdfhT8E4GZ5dCOfpOxWKDOZKQuZuH+/4/PD3P/fnH9f1az9+4vPdP376+7v75djbP4Ft1+fer9i+Nmz5TE8KnNHQk5RGsqe5Gyt47Q5gLXFojDh4dG27Ljwevq9U8+14PEKmODbOE8uu47R1JCRtj1jD9/a2JjuJtRmap/w2sJFrnFeuYS2Fm3hmY9xa5ZPB7kq51RQ1scRZoHS4Jyit6JOyE3s0c9le/al7UPXLJHXFTjh2tPQ77dPA5TYcUS5EKzP3Ha1arqKPxWBceFbLTbhc25mHrAVDt5dDy5IKI9qsjtyTf1IgbSSqiotwMCqlxa6SBRfdGozV0LKT6oMopkJbomyjP9qLlEoHL4TGUu6AufWYj+OU3RUIKI0QxEnoDuxNeU/uWTy6oHJSrY2iQtIVZdPEdBa4ueKMJlp60nIlfSV5gw30D2minuoeo2pLLN1sJ4h6q1w3hrbMRjf4+EYkMBCZeJVfWdqkR3Z5vf/av/70P/7n4/q59699vdvjE5/v+/PT9wW/tl8Gwy70yH82ZugGB1Y8TTIEcDbWhfKpFNs8VBNQ1zPfhu172964Hv7x0x8f2Nt9Y2/7eMB9m+HlG84X+GOdr3a82PFWk26HLwd8G+yL2mFIeBm249pyo+totbcnawSAyJaR/S017b1pufwn95ElRgv8KqfIK1h32f1TlGdby9IPmx4QYuqAkQyVb+KThm3pZPmuqFNFhahk8TARpnBvSZO/5lXhrFxTvzEMpsEvo6svG+XVtpEp0rVnVEF8lyvUbLs34+WdvqQ6v0hEKV87rrb2LkB6Du3u9CqjUZyA+77gHplqRxFuCcf85WrUdefApmxSAjfYYX0qIcR4IqQcS+LXdvYlVGR4bSYfTJTrKjxgvJyC3zRmZr6IX0L86NkTyMwdewfZ5/XYj899feD69I9fH//j/3z8/Of+8388/NPwsOvC3vtx7b0R5n++Ass25VkrBPXqAGuUJkdzNrSNT8ytL/mjzEIW3j6NdO62yIv4hccHPt/9utwv7Asfj2jR3bEfWLYvX6fj9TRb45myBJAIp2Oq6IomMhgK6u1Grs/BhnPoKVyUgy6LULRAcXZTMb69IUBeo4yx143xWtRAsusGye0OT7r4sGjpsWA6Y4BwKkr6MQpK1kWuOXCOc8+MgKTemobfGEUTiF9efMqBs0uUevNb/tmnUp4EcaoufOEIW9+JX52COWt1RklpNeVoahj3IKeWGFCjchopZxOarXaTGqPRVOupRhn7uEID+vKqymmpn6VEG+LzlkQxqVNaktE/5a2NQcoH1Q2ZQtksMpJfwi8GRsLHUjRIR9pku1Z8Tt1wPaXY0NdVf2iTnhzmdvONvf26sN2uyz8//OPdP3/548M//tz//P8+fv1zv//HxmW+196+3bdvmJvhfME6zc5MnLj4Z0SAm40n+aTOcfbPk7YiM8OXVQuFkmXujgu+kY/vXrY//fOn//q5r89c93EFhC2/Pux4xbX95YHzYesFx4l1UHFKukx1AVqI7g6ON3OlqyaBbhulQsFTSxQGU53T7XYBqNR0c9yMpARyQjUpqAMKwYyp2OCqMmdGXpUWNH+w21q9lZ68EifNEXkPfAO/yh3Co/tVRPqOGBQO2xbry0NNjYoX73r6p7kwjXVgiu8QOsF0AGJdrFJg9wEyRCF1UeGzEe9vTZkejb+yMeWYVrIX1HhoDTUp2Ch+kiTXkzShMcxrijrHzvmy74Jjg618ELXrFWBwI0Is4Cps6PjVwu25GFs/ZbnkIw2vuU49BCIl1uOizS2BcEnd9DBjI48os1ru3DQZkZwbSUL+b4jFNLhg+/K9sS88Hng89r/+2B/v++PX/vkv//zlv/61//3/8/Hxrwufy/2ICpBjm13Huc9Xe3l7eXlbL6/LDrfloa4ZSGoiP9wpF21RpU48vTS0sJla4VJpwmBekG6Pd78+8fGnv//hP//wxzv2w/cndpTcF45fWK/42Hi5rtdt3/7mabYLhfe9851i9B4bIB/9W/QemYKSV6cmkfutyVIOoXrq6zTFmotRimu0r/YMjRea7lVePiKyzRadVJTtLpjDD8DagvoeWGiYXb93QuEC45OlkAxw4IryiqcRD8Th8p5gj6hpoy9n0pQgzHiLYaM+wg66KbZ1pMnUsvd05hSRki8mrG8AuTFZ/4R5+pji9zFchtpNw+zpPiOPzfxKlGD8LAa5kn1mWGvVSgutdJkaEs+61Z4kOcPQ8Gs/FsjVNvIkc8Ep83FJS2GJxh0gyg/jh40LwEnE7KzzpsaySsOZFNb/7jCz7djbr09cD//85Z/v/vnp//xf+/3d33/5n//yz5/+81/7/Z92/Vp+4bquK/f9uAwf//jv396+nS8/1ss3O19hubMKbjHojSdPKouTTrMcb4G9krGKhxuKRU19X3498Pj0x4d//vLPnwlh18P9Slavh69P7FfzAzh9P8xX6GeU3sDAN7q0TmnkJYO59kXCh2Nta6YSgqQFd/C4YYMUgVTkQKkE0gBaaRYRhgKUy7t/WH40OVdXGROAElJfE+wawBxIkS6nK4v1jBdSelxLUE2gzYE8RmHl7FJ9xZc0m56WogFwwAzoXaNtwmEMkKbPMaWgvHv45I60iyPTBQkZElF5D3ZWXO4eTKWN28/IOzc1KZZrgHRUlS3WLLLmf84ZUA1a6c3VWaVKB6OvZmHDI9akuEk/XJc74llie+oOqbXWlnsVJ5onvE2ykqFliAZGv9Zm61Sydvfedj3w+eHXp7//uQPFfv6v6/3D3z/w65/+8e6//rWvd+yH+fbPx35c24Bl13Hs82Ry/MRxYi2yl0EjhyS6gQrBtCgeFYV5E6TPT4pZxSrf2/eFx6e9/8Tnu//5x/7zn/7zn/75y/eGX47Lt+NzY6/LXvDdzm9ue2F/IPPkBwy54qmhD/g4G03UcrZ0VIrTa/cuoUAvXKItAGPU5S0vfq8r0cY4yGWZy28m3ZiQexF4u6MMZ6Tfu8XfGspYNEq0W1XGHuW4AbU0EBUxyBCWwc02tm/fG7hqKF31yrm2FCSYyC811UXweHR989mcEpEjavML1HvcX56mauF1bjzshPXPWzpsDPjpU3JZjNXTlCzwGTxTtLp2olgKm+jsG35pxTxWisAz5D+q12FfnaqGvAuwVU+zF/1XjSjnprV7R2bLfaXdWjyu76nSmyxyr1U+ar9UZrceDWZVfglCbYB6XreUwE1wbijRxBNWI3z4/PTPd/v17/vzl//8j/350z9/+b//n58fD3xc9uvnfnz4xzvw6bgcjsfjelwPg//4Zv/4++uP39bb39bbN7y+rddXOw87DzsObRM1BjIIoUm5ucUTNKUZI9E5/SF2LdqKZi5cFx6f/vHh77/810//+OmfP/3xAd/YF3Dh4f5+7b22PRx/+Ho7Xr8vMCSHIebn0ewWFW0bKEtWzjXa5Xf4xHzYSVj7RgofTR61DNtqwbga6fhl9GZp57y9eVTtTND1oC9hLx8wghK6TDWD8Rw/EzqVE5QGl5Lmz8WGPHFv75xZWweWuKgMGVqjgIwlPTkMVgYARO7Rc/39AtpGUV0Mffg5YsuePKCrMnydK5W6kpOdK0t7B4x7ZX260Or6HpeYbcBqtUoWGrtr8WK4s3inJ6UkoOZDIY1F75RZRq+7GNSkcKyIoHey3Adle24DKD46tXulItNrXM0NWLbD7IVLgtG1O9A3g4nn5naOuoWt+atWiZdAHdv63IOIkdvUwbENj0/8+gMBXj//Y3/+xMe7v/+J94/98bHfPzJHZtsjT/j6ihcc5/Iffzt+/y/n97+t85u9vq2XNzvfzE6zI7cUVSZZZJnGSc5TGn5msqZcM+ntw0SsLGJW2AH4duzLrwsfH/7x4b9++ecvf/zy61Fp/sf292tjbbvcfu63d9uPRQuzmLvnvAw0kYCNNt0hCRMeUPjF2EFDrNIQAO5oYBXgMJV188zxkxsEoJg1vkbNbqbZUdWNQDX3rWjt5EpT466l9ONsmE5GVetNOVoOSE15Cs9z0Vx+I7SUlQs+o8W81tGJG5PvbeaRBclVyOjNWSK/2k58pM7lTmC1IMU7mAuPR8XJREz5HXKy5ZQk6FByljwZQule1GO5heicvQaE0ENkBZEFGWYmhlFQJUduPju2m6cSgU0PaWVxNzf+czouMsaJ7DUbHpUgdlEZgbGmt7oVq7w94+P58IYph5OQ2INz+Th1Yb2xuGI7rk+8/7l//Wt//unv//SPX/h8949f9vHL39+vj0d61JghrrXPw9Zary/247fjb/94eflu55u9vK6XV5yvtg5uNFyuFNI616o9WSt18aQkGjI8GbilThePADwufDzw85f/8XP//MP/9R/++dOvT/gjwnI8rv3p+7G3HdsYe9nCy2nnix0n1jF2VBLMWku9dScg5MgfsQd0FC8ivr00jOH4WQFoL0UU86vbyrSZ87LBvemyc17b/PSgYNp/aok7yjT1TbJ+83pX4TO+Jz2xuOyRIYQfsRR2Ef6VoSEd2+DWZ6VJ0iNbNSPEMTgKa8IyBhDkgskZzBGybG+9uNG0plKpnevjPZ0bDO6F8LdfBfUJNsOx5Zr1/rLRiDs3VchpZDLsWGnNls/Mt0KMxB/MJN03dRMwZ3yXK/QNOUNk/zXfmXSKQn1DUSUnrf2D/NHIooadhLVGgoL5+JbJt1hWydRTei36SXuiqlEXz5ZdsF/v/q9/93/+D//8c3/+0x8feHzi10//ePePd7+uy5avF/vx++vr23r9Zi+vOF/s27f1+mbff9jxdqzTzjd7+Wbnm9nrWqel68iwuu0riBRTImuTxVmrqByo6RM55/qfHMpUH/be18Mfn0nxx699PbCvXHq+tz8uj8qyLdiBl2/H+WrHaStSd5lnqvR4D6gBpZnbIxvlGKrSlA6HE/X+oqy93AlN0aUXGlZ9WmO8QR2RFZqbUIuQz6KjRxXpP1XDvk0z24ccecPsukwr+jgYQjYTvDH4wI2VZTA+ZMB2aysohh7VuBORPCZ+8ZSYMSBgsXABXssiqvnmZTS30cr2ZlQMJOTxByp3p0/K9CWZU+3k1R7/UPwT4gimwfiHiq21XhJQ6pK27U7tQrAr5l9W9KrApA6MXYu8mlYU8c5h6alGMomI1lXSisG57EZIxtFYJtxlwgnGTrbTLkrkDQcZb25wSw/aljSilMTGeIHrE48Pf/+1P375509//+OxH+va2Nc2+HFgLazDXl7Xj9/W64/19sNeXu3l1b59O84Xe331ddo6cLxaJPVXPG9jWmLoNyC9WYYSPSe52efIXvIh15lBMsowEmH4/PCPn/v9T//158YH8DAAvnFd+3HhYdiHB6Fvvx2vP47XN8uVbIvCioUCe7CNpR+pjjf7lyArIIHrOWvpVBuxLtZs1VpP4gq4oqw4NTLj1RnZ111mLIQcEYCTWaIpM+i1eUDJyQbrW6KIe4eGfqVObo81gjRaO1c8eqWn/Dv2ehs9MyOAYeVWV57dIAsllhuhsNtsK58ys6qxVx/9rSVvpGbggr0aXo0Z5WB7BodMqNJIJbCDKAMYblAYw++YeM/NbXK1WCbFWU4l+K6joCoiu+SVzagzjhspyhsz0sMINNyQ89k2/S994KoL41bIcZZEQZR2aiTgpKtxpyrMcI1UGB2cc2k4Lca4DPpIX0dnCK4U0dy8YZg5zGzZQmacHx/Xx6/968/9/od//Gv//PdH5KQd11r+9mZm6zjt2/fjt/96vP223n5bL2/28rK+fz+W4Vhu5rZwvNg67ThXViSRIdMwwqZg6Z2Ta3DHqXpT00IH9PR/RR70vDm+az8elz8+/PPP/fHH/vnPT7uW7QXAL98XPj4f1+GP1/3t316+/b5++4f99rv9+GHH2YCB9aDAn5TRkjvAfNE+an9vgKvl4FRi+VEhUPfk5bOeX7YnK/r755um6lANvEIVgYMhCq8ZnbiyqhcNu3w8bbbhl2jmdth+PQL4/WDoZEc+JpmPlWgPCWT9N+KEtWsn1SylmNByA4a9MnsSyiwDbyyPd5sRxBPKP3nMLzjYPQcjUcEagSCvI0QQQJEuoJ46rn+Ck+FKYi2oxUyJcmNTOfWuvESayb7g25wLTdOb21fqE+JjQSqercL2ZaaHMzlRL9fp3Re387XyiVbnyoZ4wlPqwQyBtfqa9NZWgam1JNjioJdZ5sufRyG4MDx/rQna3rg+/fOnf/zhH//0z5/++Y7HA3s/YPjtH+f5YseLv7wd56u9fre//9/Ot9+Ot7+t49WOQCtsMw/8XrbsMFtYsJWLW7uCiKxJpogCzuY+7KaMNUurKFq5arhjRyiwfV9+Pbb56uD/2NuXHy/28n29/m19+25vb3h9zXJDy+nQ0gU3NUEPVygws/TXvNi9zPqr+XupTE+X+Pjyxp8qynb0a7d6Z2ExtYKp8I5WMOTMsWVbVtpHz8xtG81H1CP3wdkAsLd7PBsvtpnH890KtWJuSK/jCvYaEzunb9Di+inXPXyCddrAEkOtHYxhUHQ1bvHJqGr5LJIVSLG6Ju5woscerZrzCEZYY+ouRe+qjsrJhg/eJmQpL9GUKB/FryCgDvYic+Qik1JTtturCwgV+bdneCgX2/y1ONilomy6u+72ACZHG32ZFcsWSCi3Ht+bHENbfya75sigXUjFz5yZXtgXrg9cH7je/YrHswGHr4XX7/byZi+v9voD56u9frPvv6+3H+v1b+t4MTtsrYwpYQouzVa6j6Jz+HVKrykS34/V+XewGzdZb9RxZODLrTsdGzuXy2cc/Xg8jhf7/e9vv//b+vGP9fu/re8/1rcfWHFGBbmy41ymIH1hLfSMxBMpBpSVx4F0wwabGKz/3aD6Sycz16p+1WLDsTZLKLwjgCQiqbPS8qGlDjMszxK6oFK7UFWLcD5Ssjf2tYNlBHqt6vFcEZenGRmnDOCukzDkpMa27AJrrdzCOHNqbb9AADp4CfB0ZlRxDBk19jW6QS+hEOn+6mpJ5nKBXaPkpgsxf4unbaz6grRdqwHHZ9WdAeHxhV9KASF2UPD92MjUomn9gjNc5CBDIdPiawspgx3G3GB2aQQhEShNbGRBeuMtYqiXwx1bVR5n9cvqSA4p+zJ4jjKRAmjKOQ6BJa1SvEzROXO+4TtxfeLx7p9/+uNPf/zc+9N9Yx1rvfr56r/9N3v9vl6+r7cfOF/s5XX99l+Ol2/28m3ZAcs9OTLjUaxn1MJi1E01huw7fgE4V6QD80aWTuctbaFUKcNavpYfh6+17XA7aNpMeaw3+/bb+i//7fz7P44fv9tvfzvevuH11RQV74yiolaGQOLFLNlfjsKbSjpjDrLeLAzAun6UY64WTV7f85FbT+fFLoLZ3jyV2lHiQgpmxAfyb/VjXiGQQSbMgoCmbxln7UpNpnlENJDB1+X+2HBE4guLqRuubPbYJMPLzcnUavzGGq0n0VG9iI23fHury7LCHdNGq725yO/Q7lq0724EN2TsYKP75mT74FstJ/Er15fqWnLTod0y6EVbYyPrntLvIS+vcDPXHn4CyM1ZxHaH75xyDeIlI0sYT9PwOC6Z+LQOGAwbPkK79PDgOozir2nkBFIpTzNJT9iuDKHQNDLhHbHjm7XMnFmw+MxTsUYTcxmY5GfpVXKl1H7g+vTHBz7f8fjAfsAf29zXsV+/29uP9bf/sl6/r/P7evtuxxnhmJ2v63yJgglJYPG+EhGLKySLTA7NAa6QYRwvD2XnUvALBq+0Os9B3HIzHPJKFFsn1unrBQD2lea5DC/f1tuP4/e/H7/9bX3/sb5/Wy+vUCLMSZAzTbsMa9mypoVNkC4KucxSkQMvqgChfzIG1dQkx1L6bj1OuCkuk+gkpG/aO1syE6f5td34R0ct+ThZ0Y2Rdhc24xmvbnc3x5HJg3K/gkqmbIFAKq+2kNjeEbLtB5sJI3e01SUtm7gbuwwwz/W1FVk8vzRBTmvwIkasoADQ1v3GvXIDZcuy4XxvtvVdOegBfNL65tVgtruXQ2nkZsUyArQKQjWddw4tm0yYIu6U73LjFLsWXnnCrkZJQuWaXfdKORVN0mbiAtIIoNa0kzP0BQOIGyhaDZm6agBUERSqmqqa2/aFffl+5KORfuVWFcfhb9+O7z/W99/Xy/d1fluv3+w4cb7Y+ba0UWAGs+b5CCYL2NYGAozAs/SviarX3M7mJr1dxNtNRnmzQT/O/fLmbz/wt9+xzPzDfv6Jz499wWNd5P/xX99+/6/Hf/l/rN//fr59W9/fsE6sg9GLY+PKlG3s2bfqDFfM/sLey1PrjAF5/6C2nhtnYXkKrtxZSqfMSQHz4EXUc4Q5qKv5JjT4TixiD24d6LixgaMtNfJd4wJnQn0r4wzh4deOc2RjISZWFIbOZctsFegaM/YMgmqFbj5Vl7DZt0YODIDCxxZkewIh9fgZo+zpk6RcS0WqRqghBRR6d4utcUYF2am1j4opsW9XqdGExDtdBDLO7gAwRKa0Vbj0LVPNlsa8hncYR0kvY761+LbR62DIHTK2OKC0wkaqtJltxkSpHiIAyf9yog70RfY0Ud7haOdTGxDJ8gyxvaj7yuuUbUxOGuLIiu37wvWJ6wOPT78+fX86fJ8Hvv/t/PGP4/s/jn/897fjDevVzzesA+eJ84wFEzWpDlVPTRR++Yx4h0St6LjJNZa23qGrLU8v3ZoJNTOsA8cLXt78x2+2bPkncLq941o41nEc9vf/evz+b8dvv59v39bLi60jn+TMyV8TQyR0evigvgUUchVD5b1agKpJEThOxbYpv8ksgqAP/KfLFXDeF65laqQxVt5AHhfIRfPLVNmHnvy/yH0m5zlFgYJM+O0c7OBhLaKN0TUXJkD1eDbIQmUUFSoeSN0IAnhAKeMDMwLirjQQOL/GZNNdtzxz21H5V5abIZUzUkAz1xqAFS5VuC0BEb9koiSpvA77yQadupGXzaJb5QcEuZlDCGwPhnnTjFVq4LQMa+hPAZIzpKJW5KmBRUHVdHtOvBPCUuddyl9D7PGJc6JJHoW5bbTkDK3dh3O4QwAUJolHniP21BN3gx04XnCeePubfft9fft9vX7D8Yb1YsdrLA2DHQWJAxrlU7q8/gJHpbSGW8ELp/ybnFL94qhKh1q4cSycL/Dv9uOBlxc7be2XC7/8OvDyur69rn/7+/rt78dv/ziOheOIrVYNJi5sxEwnUvi5C1jZVx6EESkar/Ns4p15JxCIjYYJgtbQraozewx95i4TsMoCms4VcjVOmYOheoZLWTQKAO2a6rYyzcImCvuKvXK8aRK01qy3hhny6RAyh5/TJlNSTr7tXRkuNFhPxcn4MVc/7TzYOVawMg9iWQKzhLEy/+JMGwrBiqcKxEXm2y2Xt0UM5K5wJPzNEg5aHzodB62IQMGsHJR7s9AWMoXYzDClK/PwbtWyExCli/KobeYdZYYuzCwRMgYm3nBabAxLLx5cLDVy6SlbzxSQozKZ7rF8TxP2HHGOvDl9H9IM17YJgTZZZZIWJlqgl23H78JG7nS1XsyA8xXff7Pv/7Dv/7DX7zhebZ22XmKVRDCMGkoHqQfnqfASfGpWw+f4oixKlhv3nV5Aey/7lJiD6VQLX9iwtXCeZt/sPNf1aW8/sP7t+O3h+8R5rtdj/f2bvb3h5WUfMempHSmoe5YT9bXuTCwFKY2gHXbvisWlbgZq3miHa9xGCI2OcENsFcY7AFwNLhvlzXWExjFwr1PmnmLiHohEE0qSVHPtiqQ346+oboUPaIkr0OvbKiFv4ygcxJ2adKX5VXZgh+e+3JmOTuvo+9031qUiGkow84qKNYg9DOCS1haA5/2ee3/Umi1HxqjOrMHqy3CQPG687hJ1IkBneh1/4CzR1v4PRU5aQz5au+8PnRl4lmDNS9yVAggVXfB5D2xvx84DsUZJ0BqPi+EmQgZL64pxQVsIuqGkQaKuO7Y1474HOynK29c3xx2WaNiGbb5tw/Z62S/ft/3wb9/t9//78dt/f/32+/Hyw9eBmHKlDLpJdozRmuBZhNQcv3GeoyEpUUgJws+INa314BXlV98ao8epHZbpzuOwtew4bZntF3+54CeOtc7D3l7weoIrLlW2zp9GL2dVlRmSLOGBDpnfdJBo9a9Cglph/KVMMmDh5JshtUdA3/tCKaqFy2wzTXnoYjST5ffRkHWQmXgDdNV6+xooIX16McNiGBtfeiOOqpwO3qWh7vc2ZX6ZC+RqHwZ8yLCh0sMMrRp7a2LOT7x1mNc07zrs4cma8j7jsoZYIawksggNATc/xtRBRVmFbgUV8beVe28XVrh7IygZxMVRHZNU4RQA08f2mxln2bRhudUKI+lSuhUksZkFy+fQS+PqEaLgLS/UHJvz/ZYv7yBwe9VyimyTQu94Ay0wdMDNfC0/X/bLt/Xth739vl5/2Ms3W4dbO9rClHIWTs0wpYFnsdlaIMiJTaOkfWSZC4tqbPeM/bVhlazJ1UdR1Taz4yUmbgvfj7eHXzuPRlkLZ4DX8sOg+rVzMOBKgLbwuPsKALiccy53z5XoDR9mOqhIN5r0DUjSckO0ubBIauOeq2S1n0D3zYrvukLweRtIfROb00WM0qr7ZKzN+Muh2bJ6Crab4RDMZ4/uG4okYLKK1C6hCWlrHspz514PC+ExoLHJcvEyd0CqNRSeXof4pXHBeoHN+4TPUf5BMAsYH5AFcNVtSpHB9+2p5Kxo6jDusorpn/Lc9mYtI8NihTNJTi+g8Co0g3FVqkuQ5W+AFuCz2bR/0mncDMrgx1rbt65nkGGpC1arcsagxF/B9uJAmOLc+QhHJj6MoF1MGhBNrOgSb6++F0DZURmeA264zvP69mP/9t9fvv92/PbfzrcfOF+3nQO/whmWMVCFSkOMsCJaEv3zOLE2NR/0OnINySnlTpVpIUXzWGNXmACUdS5zLLN1xPMtxzqvvfc+UnkWjas7G6CORMyNhHKj+3y470qgz/PK4bVFUZVpxoz+5iEzl2/aVa5LicKUQPWHV57Y69Ay3moEXfd4fpCz+4FSHVub9ZCMgj/JLszDq+AIxDKeFUdz5/IvQProkJRopLgVm0o3UgEt73f4TqVPisIMGvR7WogRlag9ZmPhNKGt+qvrhzSS76uOPLYiPNCQYX9yZhPRfIMGa4blWfPJZ7QKv7RFsmvAJYmihFPSkXoh4saMZ1GQiaXULoUH6U+1gLLEwAZRYS/t1iU8bN1YoQe1aXi8JDVXeOx8as2YSbA4RBbbWf81McCqP2slfou1aKU/UhjGiVy32NhTWtbGa1gLLwfOH4d9P77/43j9bi9vOONMjPsCDmroynulJy5rvSGT1td4Lakrb4bmtwxwnBx9Xdr4K7swGwv0HK59wXM1/Vo4DLZj2QRvmxkbWFfiBiH1WLo1LPFSOI3T0jGWcdwG9jRRQOMCv66opTnmaodZm8ZZNFWViFI7PDZxKEW3zujEj7DUSTJZ7Lm7s7vbiucSHVxOTaS8FWK6olhjV1si0CgNQwr7A4c8QBr0esuoVjX/i/udSyeNrauFkU0C0KvavK4HzRWbeUVfTQutRcwzmrBUxZbErl+FJm3ow89prowJepqFdLYSEMc0eChL78HGJYZCpWlO7XiwOt2SWtJa8FlNsoRzGo0mjfGtg6ePsE8z5dGNUuBsQQ6IrQU/yEqCiE10SzrMbOE4YKed53r9sV7fcL6ASw7GAwmBl0r9uIBSRkZfmg40JUMLzXO8SJhN8Trc/OzQ/5/IqW4DYfLMPbzzAY+9zdxOPpfv2WWJE8PPdA2MFGRt27oB98U5eResu2Hh2uXXpvLUleoqIyuKHbf1FlIv0unIVIPpFJLElBuDCskEnJUhstZ+5xv/xeNt18PsAvPo7vC9PBZ85YP7bgu+qFyJG2JK21ejleWbwCylIKLnFQ2HDFiox9eeEfx233/6GgHFE8NiKYltyYYGo7bN4XWC1Co4aHOv7i68aYI1UUUEZPeRx1+3veHUWLQTVtMhRnDes2MZi6vAJmBZ/IqsiJS/cVsFQcPEraLPPbc/AGIZeVvzLUdifaKaEQJxfxHzea21yIA66yWawi8NuYO/8HEtHCfevuN4sddv9vZjHa/28mZavzpEbwVh27EquGVWbbc7eg7ZwNNcASEJ8n2OwBzACeYrmxQrgmkhjFzHTj+iDzRyG3enLKhCSrVp6w8NBOmELRmc0bF3Z2tQbkdGG4jDpPNwFz0qSADYjDwWsf3GsjH78zyB15Cq8WS2XrpsRd48UIJvR9qOLrYnX2OosZ2J2VoCaC5WknUpgmqFBUqj0r3Rq2t5PsqrIy2UMlgyueenkoxDG/1UIGNiQHPiVPY0qyjtNWI3LSnmNilU9hpwFthDa4wwn+2mN0pmaqKUZmoKmiK8cDdYVAJJNfUtaHQJf0hNlq9bGDGIyepJszWmbmml5WByzM/QkORoj9ic57clXtYOBEzRI0LRpa+yu8iCLWPlp84JzwKcdGD68a3REWKtVxMJNAbjgtDXH+t4Wa9vx/m2zjPW3yuxXcGSSmXkw0ikar7gyrRVwBWTm5GdaaKpEPRkHtWasLqak2l3B09oyokJFpinIVGa/DUTftpPwqha0stdwiC5QGjJ2CvTsFv6M11MOjB2mzxJzMj2nIwiLSthSrChu22Ds7+vioVosuH7VpFQFjCVtt3EgD5Xu7qV42yR+L0EoIk9bcfB4n9wSInb/KIEuQlhLYAoD1EoMBTQe2udm0Z3cXO54nwJz5p8m2fJOZJMfdwRU+4QyzI+pbzMZw9kBm83VGjlPqTZud/J7S6Mxk6p4eYXCsriqzrnsE0Y3QhCdRszIoOCvlRdfIXwq8TFDrpaRvnW6vEJAMA2S+zhk2cWKbRwtWHFrcZD+M4lyCVkzutyVsINRWEMwQCYrfNcL6/r5fVYy44jsrY9kwaoCyhVd0+apreSnQnITFENSiWbfmcrPlbnuzd+lJgBdk8Od7yus1ZX8Hz3znIgz89pDHGqwBJguvKZ4txryZmtjJCiRRXA1grYav1ZVzsUyG/CVHEgizbzrx3vXbnjXlyr76euDUpiRAUbnoU/3/k84iXndsSTQ9TsXa25wZf6do95u7Z5Y3eLj2sUN1NnHExKpiobmS78co6lsYgnHI5RWbu+7rmBuw1ZXMUo3jibNi67CdDiMcZxBlB+2wNkv2BcXKYz0NRF01c8SV1U2wwGvrwsiHly/0a9VqpQ81ykNm7PdcIskXLfHgqr0m6kXnYZ2C7530iLSpe14iydMv+s6XfO4HQYznYdoYvyWpxKZB/6mK1WIAjAcCzYieMwf7XjXOfLOg9bKzfIx3iQtpgWpmqbgQJ8cLX8GClozCxcbSAO0db2CyuR6TqNgcuP47MsoxW0INPVUBTWUtlm3vHLrNYNN8ncuWkGnjeqbzmvIJjKQ5CAvLg1SbBsw1aME7DqhipUUC26wzNmmZhORor6bgCdtQyLoAiQ7nXD3ahMBQxRa7OoRhZruKZmyTXrWRMgfBVnCowfTIJyQxyEzrigRCJ5aLIg5QGtKN9FW4KuLjZGAJVvrlCGJPbQIyOIko64zQBSGR2r5jtKMnEQxHruzZLioH72yUNFj8W0LjMyq2egW3dtmiqSB/YCUw/Sp6j6nl7E6OXIN6sORonHFfHoSiid1t00Gy9GyvgVXsFdaZzGEZEc3VQdquxCfVTomAaw8ky9Bfg6bB08sKOzpOOIg0Be0ITxMkhUQbkRZRi6WWcm/IaRZ6xl4A5NGlz2JVXetpFrH8B6gXa1gUtMTh3UWFaGMOTOUKE5kPjt1GnLhDaIbXpqWvd3N2v1WWmFaULbl+8BZlkvYA7En9okYEbA5s32vsBfMSsRmxv/Z1kcuaVaYNDOjVkAxPNVPOPezPoEJAhY8AU8EgFLH9l3pIo4Ra8lS74Rj0QPHLGeIkkd0dCUC/Ct6sDMB6RQsyXN9htF3dD0kxhaySAa3UoIi/q2m1toTBLbDrhtDDcgd5aqY2FVsPFK1Wl2MnSiS9nbT3TSygcSAwZquOM2+ha62xx6vvNx4CnRLntxui7XZj4U0R0qrWTABDT1W/k0UaRJYhp/jYTqhaLDwAVdphvQXmY4TrO9lm/A1lpnbmA4CATtycQelxmWqjUpAYAvcFegvNY5ULsVhSc3+lG4zHC6/m6nNzVH1pGE39YBHBLlaiKrBE93G6Rl6FFmEsdCOmvjUafQdspjtKP17nsPSFJMvs4crozd6m9KpyDZ+wdsj64sUNHr0LAgdbetpLoC2cIRwXmeukj1V+PR6gV3rkHNgiabkq/ZzCTu2C5ZtszaiyUXwijINituegH6og204EEKUEN7Ll2wCWRawovDOi0vlb52ZFaoQ9V2jYtvp+uqTni9S+s7jTKtNALl8KYT0HtjCkgf3QbY/xTJ7eKKd2+3pDAzCnA+TmUbLdjklonSLk5Rtw0mB1hHOG/LARzkbKVZRaQyYeKbT7KDuBRHBW79a0cuvzPH4kqYdDqUz0g2e2OSVL+5yoKPxs67NkkNoiQk+RK543VaFSkkF8iXe+UC27KkVDqnFKB5ZrIpx1ZTFhooYhLcMJVDYb6wArVEBTKU2TKfgxSwcvZGITV2FNq03z753Nie5aHxjFKzJGmE3Zs0GZ01ZECutTDdI3Va5vXUI6m3GlWatJLfk+S2n5ZTBJmCSVvoVRERSfD1ARCo3KscZJpdvnEhQbYjPgoVJDsKjyZEBezTRgVi4CyyCdIbw9E6qpfmj7KQwi+rexvU8XfJ2fp3HJPiZ1CxLQE5w4iyIONdRA2/kzlsNOcUKbtBjakFBUptvatMgKLPtI07j6gGAU/T0GjfveytTTtncCspyrUnb3O7wBaXGJx7D3LWjxyDpiZkQkswNPFOed5c0+ScVRvuuSXncBEGuKIwfgKvXLLTCLyuET1aSSCGwpAT4/in1fm1QiBeYsHAmdZ0T6jfX8NDNH8xG2lb9j3pPtBODh/KrPmQs55nf8VhodX983BozgmOb6NXVYrUsUNBfUlRnZhpc8FSYNdWib3wPWzYkdzf8TjD5rmTCQ2CCeXvbTYNbc2gINZ5sdfN2WZXfGsoVvpmYg5ZZOwrx2crs/fVut24HDrKSzqXn67TFJXVKKAH8d70DITaRDjTyg/CauePceLV9zdVCCAzMtpBXK613DbGRBqGMw0QSmIqCvBMH8f/qy7uA0mt4Bd+0N+Isi9rcwTSTsPt6ydYIXTHV7lgoCIaHqlio80WaRju4i0djpGYfU1PbRoTU0Sfy8OykTOqQ2MFBkqHBADeaiSUwxaohd/KR/lyE2QD3NyWCIxULKnvyYQsxRojkEZhw4nCuxtDtNbCiupx/Z0z8yOnqfpyuBFzUb6Ygo23DYoabqYrZfGyLCHdehzluLGjOhAQFKdgubf1O0347o5tnMtnMGCY7Xtq/+6VDTpUEz5YbORMCGKawzeHyVA9XEgepFoj6+FjdmKpuQkKmyT3PAg0Z7F07mTIkKFMJMbfN/u+yXoILVi3q8e4PNJqi+sEAuWzGAK4m3amlZA4nuqCI3PNwzKWVtBFelwEefvbap+0UoV4t4n3Sg95Fml9E+jz+eHUYdsMtysiu4Er4jkkFqCdce6wJqkHOVhS1mvcQIUkgiDnkNT/XUU9ui8XHKfHMtLc9yE0/RK6DwzufNNo5RrrW4OdaBIbJNPJxkfBmZ63yypD/pHB12H5qKOmBl1+7JytFJBlFnG3bwVhbchsiF/QJjSw8A33ybzf20i+URJ4FiKH3rEonIssjYhCbuWc41b7kngcvlWcINeSDy21mo3nz2B8X9GtuMp1ZUZSTq63Kbwii6UtYuIuYgTAncEK+RQFu2v8PpwDtYOgV7QTWqDOuOtix/TiuEEddVGRZWRFu3iGDU3jWchk67XorPbCybme32gwIdOYNSmv1IQC924Fdz1rpka9EouK8805pB1tdpDGkBvD0b16r9YVeeVWPA7i2fV5U+rCr/am21dVRUsF45o2ykSyqhfBULvV3myIo+8AFYknfZ6s6nAhSJnY37xb+Q83hFs+uxJI5l0wFja0I3Hoda7hxQt4F4/jvfENmjUU1sSXOv8xWjFb+GJFzHxN4jJVrZqQDZnQCe9FY2o8BYZRk7k+JPI8FgwxSxG6A+7moYeT+LB6y/rlhTm/yrTDlqrE5b5Nkw3TgJ8BOk8aSjRysbQRw2fXRWUqykqMS6YwLaOiqe4uzkx1tZoPJVSnBqZQneUv3rbucvzqpVQfR6mZ8xy8J9nEbJDRALg9rnc4ypAxgbjLGcnkauD2egaD21UaVvoAJ6A0hWwQYPt+ux1rrZFM0AMMnJymp5SjtrbsDM0eG7NSHYgMofzWPBmdqeua5Kz8se3a9KccYDRkwGG5rBINZieWNpHT11gUIg2YpcNnPico+vgIG4rCpkm4OGG5CXxZXToqeZlMzZYrvHeurLC8aibYGEhXZAMwz0jXPxSkM66NIyIPr7l/sSDX2GxT4qN3kYhnpvxsSxmS5oS2BlvyRnToMSYDBKFl+ypzeBxS50owMqVtMG3/hPlkr+42pn8lBqt5X9xZeBWNx1c67A5MxMvmOw8tw2BtNBpJHwUBYnRNAD13XRBWZ1RaTQimWeKyTi/SM9ff7IpzTwFWuTmvm6ca0CTYKoOaCCPb2uMkxY1P0A8b2Wr9SY/FCCFxVfmGUj4BfEYfYtyA5cbbkF8c4tX13uharA6c4/NYA3/bIGvG4xqjcxrlMVd3b4MT4jLxFdN5b11URmO8mGPIrX6tTnqpKg3LTi0T2UUmLuEm3G7ljVmTw/0cyRZeaJlYaEBb5gS4O0+qtz6bzeE2znSHcOtAS5zSpBUhWunFUyIEjQPVnqCefzlb5ljilDdr6/irjg8JkCn80jGCd5xJ72X3ziy7SairVGUzxZF3Bx5s2xcAN/MDiTiixIDIhOwKYgo3F3OoPWTLKWmMgjsEJEYX2LmohVc5kRIzgOfbyL8F67ZXGTUdvk2FC9/QLRsw7rjewBYcZaooi+5dQfTEVGsptW88kkbvUhkhdpbpS54k5FwhysSMkQ5ollwZz9BHR0GY0IHhDomDgbv7tFeZY19toxgnNScToBXeNf+Qi2oMa2mNXKlxbnVpnQFuxr1uBxkFzAJcUwh6sxVhF5QcTSK3I5ZZJ9ta8Fg65PUwe8iBKk3FHKWUewhlWTBLW0kwqGzJzfiZ2MukTH3R14XxTSY9xf/uifMSlseH03H5G9FaXxU4aP240s++4jbL2W724KOJ5rHlOzpJSa25dnYgzhQnDTFhkhDYho82OGorJYwdA3ZaVO6BDgGlMDuJ3FljcAab3PVM8UcIvx0fXxanMT0LcTK8mJyHWvWsVE/DRvvuzuNHexPdGUMYg4zCGF7mSjNa/BQQrbc5mHzPMJ1k3od2498NG+z2we1v8a485QbWjk3RkpW1GXiP05opF8Gec1L81cvWFx/6bZKNVCSD8YkejvKZEZxlxlFvtty6DIU41tJet77yguR4KztbXZMt0kXxrhps6ql+4ZCD6GSD4GTqVfLtTxFaf9aeWiUckYLCXFvz+e6nSwwsoFGW3g4DODWDhpW25/zb0eqpQAKLe3swXM6qONMmhk7HKNZF7EAEkMcLARHFIAsAieizzZIRDbS6IwWyWeyRhBbjmxY5rcAL3624Ua1HBJ4YnGMIJ9nwJahtIQB8nLsF0aAOB+h8YepVyW3ik1paVaW9t4PmXTk5dV9xB255pgalgFJIpfVGWWrmLMDUxtCSZA+US+c6P0s3u6qUk6O8c/48VJt/EU0zE88o8Sn7xVs1r+nstuKWT84PLnMyHOwwiAfk47pjHzWEQupkV0/CAGUV8t+ew2zqIomNWMUwFjZQfa3f6k3VwR5L670R3JwCASpk6MgAEM1LdTQly/RJNtd6zuY0V/V+JS+GKdaxJzfU7KeisOZevKE/BJPkiHOvXU1eCgK/dl8EQqEYUbJYNS/+sgWxR1nM8TK0LiK76Vc3ckTo04SaINPMfZc4SlUM6BoVKAYiX1y/uD/UWu7uF9dxOaxCMM5mWr0jFkOIdKMZ12i7OMAQXalz6/0DgAr50bhOq0xji4UjaEkJXiy0oy2QK32CKaJuonP+S/aFYaYHa7KiwtpdxImBrfxZHbUGOltKKZjNkEUH81cnctXX5JnDmtsn7QYtKOng0RggoTQ6OeDQQ3fAN3CBgirjuZfFmU+owot1xTL0pQiV1eJzu6M1q0Sy6GMKpJvHaCs+jFNLvJZ9IZ6uX5ojtiVZ0rqq3U0fZeUWgjPx124qstS1p9IOnbjlF3PUX04wcdZO66w0zoE2kndxJl1ym3jDcj2OeCgiKUSpRJPR7Kn6sqeG+HG4+x5zjjeOvfPExniqU4kvqa8h58l7B7RkKXP0JpfWMhg5jJj/ovKAWtHrviOhFc9bGUZRTYZGY3JXsCepKQ+SWZDBKIZjqZV2E3x52swA1Z0aP09vL//3hePh9g+W83ur2kc2xzpMoY3ah5x7ka2fRMQRA7YUndf1nfAmFUvWCFfX0lwhE9VbuGcA65/alykFfU930DWalZtKZ2vNA3U6Qfl47rGBjNSl7xVOqqMZ5hzSCZ/jRHpLS2D1Gzc7g5AAxkvroN888lJatMKnJhbkpgG+t++O+AasxU3H7iboOuGiJBwzM6lU3rDDzlY+ByjfuphrF1izdcl0MGJ4k9z2rI39ZMCV10ZpvyXeilz1qsYVeVW+QyWPSUdSb/Y0KTby/wmK+JeCcRQBpQuz9E5+QhFF0mh0w5U8V65ITbH7NDYvLlAGBTl80r3dZvDLsd228+Q+Ggq12G6D1YRqmhOJ8PHhE1yPxYLFnTv7KwVEs63g3biqs1jundrGtewRTy+ZqJakd7ONKwqPhQ23BRLPlln76IwLOjJrcLD2/YaDhpbuS1mESr6leGkdXoxqGNU7zfgiDa3MKPUBntF6VaE7h8KeuXQlSM/8F40gqWJWozyEfIDdGtZ96aKaMWt5pCEDe4fHEQSGKoKntSgzZEkYj6bm+OXhTQpmnRDGPi2S7lzQBLUF/vzca/SN2+MthTMioRxnnGBUl4dmLfXccNFbpFLNSEnaJ21gc20Km2vcgDzIvNc6XN5ez9NntPs3cj8ETRuXiQPmhlnGGa8ai3seTpK8uvconqSTjgUTV27LlF3zSeZNjmvlnKVdUdSif3k3RwhkrANRm9nyytjNuQfRLQubNoF44LyNx1rPo1hWYH/jb327W0CY39eEltc1AT3x/K6oE/Zkk23dBdnl7RpNSTZyO5BS2tiRubVZANK4V0hpT+vOMPyL7zs/4/MN37AL2LG7tLuyn9blENpVQRBwZGXUWl89iRdzgBLE7WtrIqQ5PvO+mvJ2nKZhA1c8mJaLp82QR4ZYVdj/8qVt30h877DmAFc9wtYGkdeUKBQVi7foI2sMiF9q7yy3qtu89EYNcSZB+OFCpBIIA7l7XHOnP6E0snlFWaYNWg2ieauCd0VBw2+SzOiZOGRUoASQloRSMGfIrKLGpZCRT65EXc7Jh+wqAkqrSxUuOr+xpQmJ5rNByhIcPYODwN3ks0EU4xVeco+//f6RdQAj50aVqF1tnAKxA3Ulleowwm+KF6PjGkgla7TCjJW1qi5PL+QTVtuLJaQGPootMsXhuQvuTDE7QwSOPpejDBM3jsTalfpqBg48S72inXAou6aRUhkxNHXGcpYT/WkCYcY5u2pEPWZtqCQnNVHfRE6TbZgZFywlbBIAY92J9oAqh2+18b+ocY2Chtic5Vy8Oz2TM+vjmQSJwWvhXrueywdRKNa/8tF005qz1MWpUcViL9dRqObRJtOQMBWDNDur2d4QouAnF4KJHagQu4gZ9q3RzXdfvpb0keYQtGoOWx6COGp+i0GoLHD4tqbVhbpmXDG74FK8fDosH9IN7lCDxQimmmgaBOeebhoMsYYjYSDblLqX1iqnVBEUjS37SSi2Gg04JeYbtNCnYaxgZwJXxYYAnQjkYDreNJdEUElt61YYlws56VW0nGyYi7WJs8M9nU6CflfsObl2OJdKkTHiceFGcehZ00YlxDKiYRIs8EtzHuYv5cDI1zbv/iKCEVflpsQOb2nYVC8Te0lWE3EZE2eUG9hx8t8eQ/alykejg3DcSp6S01xKM1jVDtZKe4/utzIElWFC+5PNOI1CjquhUMHJWNoqJnQ0MU9MkCKlJ7HSJDBa6QTBS7NvXTTfk3za4rA8yNcvLzrVss+vb6/ChdCq8nzIzGeqNA8ctdxKQgp6G0QrYoR2MkWObcARXGf2OG5b4MJTjhbUxElxH5p40BOQm/Wuho3RA9PUcqdVQ2LjXs96dW/hUE4ihVuMKya0tqZdf51CalZUH8YldyExTkAXVv8aTZ/Hnw6/XLs7p5QPs+kPGy3OBGVj6Zf91QhtXGmYIusauHVMdCaUc7MWwmml5+hbd989Qem71nOPBbwdvMt9nnNNrEiQHDuoqDUDrqDRsa/8CUFDFgNMEUmTaA20i5u//bm72F09S+I2+OS4q4Ch1jx1EYiEJydSNJ3DWdn4WTo5wagtRKq2NX+0W382IFVOsr5v67a5WWDXfY7LrYfBfb6Sv7rmOR22ETucaMUWPYMR95oD6kEfPk6ZNxTPs0mAMRaUMONY6rkKR/+uOiYhMqRhEyUQ8S0v0YK68rYZvdpooCfaipTeeMNHPTfSUqI1Jisy1FwquLcYzYpGDqjP+u5K2MBVXkvYaklfjDi64rzP2piSGVF7Hsg4EHbEN7eFAX0Vx22UpLrZrPVGfdCCBBjiVxaLTdKQuZi6FtB7sAGe51AUV50lDYFYt34iYQ63P7s/gGeETvEESD7v6OxGrXGXpc5smk2Kuz2mIWPvYRhvvWFPX15T76zxpL2sasJCjoZAQ5Anz9jghjtWgFWpEeCocxxSlJ1X1Ntu6qWSvGTo8RdE81Pu+NCu0uoDGwPTc39tfmEj9rCYS23qmdlghdEAjArEHR127fjC2XUOx6ph64JTrYTzoJhtbEY5PZnFHy5ErBdtbvfL4uf2ZqwWWRhnooC232csbMIZBCb4OiOWpE1PnpijnnBq9s8ZqKnRmqyiJRCNpBLCSw78aZUCykp87Xqj66rjmB8GmUy8eqW9naeQhnJkkCXiGlImWWlio8dCmXsJqfOyPqLHo1OOXXnxiPljdtCqSRm3mxgJpMrwMTsFhzM2MNlyx678mvjhziUwPWe5PHvjyWgxuivSX9wBmBtFxDk0CwnazRsF87ryK3PEcyEbP8s5WSm2UTxJbn5E+ZiEQtqTPalQ+fCeZzclj8h4cSJJpAXcVLPgjDLYcFBF1dVN3uWTpLDWtJxcCWvaReewYc2dnfmGO2jO/u45LE1ytUpT21o+vfIMWs/usLJ2uTe3bY1Qrbk7sbA03s3bpvbTZovS6ZOMaalxnSfTy5bIDBSetkqL3tQEnA25IJJuTAh7Y8b0iA4zLDjnF8nEZ5dDOqi699Y4WL9BtFxcVTrk663fmMPXdtvOicaFMbqSSICRN8XL+Lsq7A0eWkahj2rqmdW3pdf7dn1sSXnlM64Jo4t7flnXG2Xc2XU/BsaeSUneXfPTGB8DJst2OGkSa9M7R5JmLwd8+3Vhb988xMDgOq+B6Uao3yYwwgN3q9zyr3exhRplYcNSMveVT9p1vBLudILqUtZ0FXtcjlMbs57NqKKFG55QjQlF2efdKdRw6HLQQ8fwNHBk7aPNCa1FIg2MCg+fXryUZEzU0HIYLmlQVNC0s5fwlLTMoVnCVuTi4w3duuvgZABaIrSdqlhMKoFW4YVQYLA7/Pdx31esDY+YrVpd3gc/eTj0zzT/98nXzj7La9FjhUlfIU/v9is3kY439cL5SUHj6L/hceqF54FPymQDRGeyqOwZnN6zJQWMkXD9ArhHkqiWzH2ldCMhKkRvPNfqKk8NNOPSduIp73CvId9yjMM9CTNV/ugzgebTKknCX8aZ4Kb+B4W+cWUKX3tdOGv1xnF2AEhinpU1/Jr3qwhYKm7TjpQGJkp1xhih3WuKymZL8K69stoUPL4Y6XyxMRsqH353ENNRCbphYj31yaFzpRoudQvsqUCbsmqWcqvAtiEOz59OyJjniO+aMim6CQzLiDqgCnL6MPPF3Q8IZ4Z8Dlf7n2bvzIE0mr0WFOgzoWJyeQQGBKzdMKjG03mv50i+kMjo0m803d8Pq+iXKO1fBYW8KPYR78BIRz6zyM0SuVwmSXZiTTSgIVaTnI35dp4DYHVRV94QzqrjN9Xr6pN8d7pTEtIM5baog+wWy8eD3XPzyQwEtsP39p0bDRnMFtYRZ3J0htjwuMpOlACKOw70nFMXgU26YlXEJjfIqJSIkhG+dzxHva988G3Dlzltu4wWtnNGbr1vevdOzN0Nc6LFEZnZsQy+XAsxchbpsJnw6M3Kg/rA9y0S57Tr7DSpeEors42c7vKfEt7SfqJXSbbSJJGjmI2y5463LQozxcbdGTjrsJ4hbOGAFEFYn3VGNCFUzIUsAzmdfGh4pWBdUW66CK1fz4zJ2rhgxnVjyv9oRMzpj4RmgdcUQShrfrAbJNtYEMEBad1D/m6+OFvjBEk4gXTiBSuEAs+tndpKQOrpjXc6Sd16dt+YhGp2KilbfB8bQJtEXGLLsVMvthZPsEB8lRNNkuLG3cJkyzOAU1a9plN+2MKH9iyYAdAGm2LiEt+Y9GFvMgDu3ZQjigjRqOjLzODr4HgnfnltPF/6aOzUaQI585W+eMfeFuAjvHhGKqGqpQduQJynACCY6XsDV9oxDgZLOfvmxKmyvTb678JF2/N6fpuxsCX9ZvArJKOFU45WSBWAGJgUah6ug34VwfJfCvgsmkrihO4agHkFGoQsLkVrUSaD0+5VC/OMSNKyzbeiED1TzZ29/ncRj1R9X9gqHlprok1n0UqGzKp4hv7VGqhXynsrBSu9UNJXxlK4q4K/lKicKygG+ddimIuxpuOOUd0YO77YVtcTVl8cve+UTymerLGkrIsy0lc5n5rVmsr1Z1JsTGaGLPpKGomakjfM4TfV1JQwN9nzwvF9lWcwaXCFjQbkBoGilxrZeWwkio3RktC0qVqYXGgWRJo9dknr298wnR77e8NsxSwyOck11doUjTnve6iO5KUXwfq4BlmWk48hxijmRg3ZfEAYo1rsC7bd4DgSVJyzXhC41fGN+W0pF+dELOoXZc11kNu2lYgdk6vyMHBhSGXaB1jVwDhhb8NsE8lN+9qtC17LL4lfIHS1Dla/QcAFetccQcOmXQUsoVD24GZHy4DE5QosGc/vshAu2iv+p4MBwCML2gLU7Lb2FLJyb2YNPUoeg5KkcwubaPgzLuqK6CS8lY24rbtSKCXkQYGtnK41vrZrHZFgoHS8I4diY9LBZVhqhckQ2W9nPAiXGgcp28JJl+tYzsxNMwVaLlvYO0WRhhz6SkmQslL41YUJWD059PVMxJ6ggTf6LU8JGUtQbJ3nTUiJqnHcheu20CB3w44i2IrHc1YTXmN7DL4R2iK1pvzBE1IEwNGKigJY80rphjGpDhfd+ca+PEjU6XxGqApdUWTKhbbWeri9uPaotFt6Nl/e1FcetDysOIIA0d6KdZuiEuXPjShPJ3d2rgk4CRltuZGFTTBCdkNPh2bMXAjdrCXn8SN3031Jh4GRqssqv2umyuXyXEsRck03SGl6WRxspmxzhwWZmDptoRzzXwp5ColiIkBEUguW4CUIKyxpsASIkzVCGlAHh5lLCJB/8rYgRf0L+oL7VG4gXGiS1FZUTZlES8JwCT/ZSMZxkARFbyFKs3tuCtkzem3MMaJYlQR5EtciGs0rydVmTuJAPBe96kNUWw19rdylDR7xBlq1S+LAnFsQJWi6UhzflHc6H6MK0f9xf11SgnIwX8rg6UXepG8q5dQwnU0LoMs5OcsgVHfmOxJglzymwWzHdLbRFUuLSuRJjd3IHlp/cyfQd+S9paolGKZ7sIxxOBSfhmFyyZQHCA/R15mHgjWVMi5HSAraMr6+DqB2krKGu0wIdRrA1EEGCyGa3eRkIBpbUCIbpbQsGs1rYkztGsMo2wZ+6bCruGo31Cnv3UOvZcYtDciG7F/R4uW2WwSRggmMaIOuUFfpe35igLbxkgbGv8yhPzvAlr/nc0U5hayT1WXw7Jm9MdoX/pAhqmcDpkeign1bDSRv425ZcnnjTG8YR9ozOOmlil36uJjiYnaZQ5CVUzHG9kSj3O1Ye0NREDG2TCtIF4whh7Vcd/QRjzfL/CTswcDyVfJGxpW0Yo4vPSDNTbRKebo4i+EAo1kN20mwiHT2czTwMnVO0+lsD2qvjTzePa4hnw0WZ3iu1RAWcKW2vP43tldz5jqxS0LpbOtrXpmf4/QnSaeLzRQeMzrBsIyAii2sXM16d4xXnZ2VyEgYE9oPSvtr5hPHJXdfpzUfWfvQBD7YI9Pi6jxKTXVkAMYFdPF4bcut1fqJJsCaqltliUQnsVjYk8DrZsjMcFFRK4CkTDtP6+OQTdMcL95TwxSvVyiBTkqxWPnj59coDU1u8yeP7R69WMbQSaPPDgclzJLnZXl6b7+UOly5CPe0zmW9QeEyaHKbZySKXo25cEVQ5VYNcHgy3YqUORS7d1tJm8mr57Uh3GjBszSzQ/5TjxNPer05FM7dHSu4biqJriarhujc5rfMverlT6a1YFa01TdObe0ToqZfVLtYAODOBfjhxLL7hbVsLbOD7q49HOxT17xydQFfg4VesPmsnt7fjNuSoQbu3i7nkHUcgHvm1QoLrb63PBtlaMYZytqcZEsWVFKWnvVWrZAXRTo68sIgMYE7etkwaswu2QcdfJ98jJShKQiZolQz4LoYD2RP+ynVMlRzlG/5B+OoWmpC84jcyrDZVw40SUjiqL7+JGKVCtA5FeKSB/PiPborGcN0teZGblgDqSS4irbd2svAar1W5Ask7nRsBFYd7Mqlx+kpTEMfNs5+XCrCsi36tFWDN53xTviDInEarqPixPJ3w5uGpar/+s64ACsFnBUdkmbOeEGwYu3+GlrNd2umGNPHMeOlilXc7xB3y1dZqQ7kTmMH4EgIcZ/TXLnqRVCodOkX4ShVVWaUg2/WeFgiQdy6Gz8p19GobLLY8IxZxSrTeI13KlI2G/ZSMUqnNuIJmolYGYQ0bNP4Twq7aPQGDl+/yq81v1K/Bk8gjLh/PF7ZNeNnd1ylFPWgbMHYyDnerWggUI/o2gjkhcKsQqWjZZq/uWja2Yy0MNgbtWFmVPq67TsLW+450/KmQIaEYAD7c1tks8VmmLR2ayimC708XGmHILO37omXfLS95k6dWeFXajIu6Q+Pmx6ggW67lLG4Z/RSkGRmscQhTDB2EFXoY1QhS8ht/U65Bjv96ZJOER/4qknHRQOP5zgW4z7kNKcwRj+Xyd7A8+rpE/tUuvDrSfVncC3Xs5bZgRjFbitYOp+ZUGE7qcKJCy7Rx7Ql5+MrU3WHaSMTQ2xRYLsRp/Ucg2+M8jvBHHAR342UXmzEOc3hEOwMcCwdXBInATXwar/NABygU02/eo7OATq/oiu/11w58dHRgnMjkJLuEmJLMIlguSWNxzob5ElMlp/W7zwRIKkw1f/SbtJArbMKABcdppml7uYgWzBbEY7z3pwC8DEX2VL2D7nuITbQDNJqM4SInFOfSuUvz2uYJ+7DrL8t+W+YC4cK4txZ0dlFxwR6GURZuZPtBq+TNLs+EuJpPWpvGBaSN2UP4fGD7PhvwXbtPhMiDnzz6tPufwYPMxvB2LJ52jqoEKP3vIhVHOpynLjGfb/KXjzbGKzpIEwKUD6J+IGUSMN2v1mvFRDcPRwkTjf6y3hqOeluU1EvGvkQefhD+PbKEcKAFY8X5iHVKJJF/U5fXKrkncRnb1aWSrMsIYxrAXKh/mhP+xTGBGFaKcaIdqht9i7I0bwOdtbXEI8KUAiVFI4CaYz7NIkes6ziQoHfPR4qT0XsttuXXdq9ceVReov1PZF4Nmb1mA3bqzONvWA5bxYSEyWD+8b2rb6oi6f3MDAlBTHWa1C9/D/VWoT41Aqj4vLbpJD/ouo82uaTUD1jwDx88TVnkrnkvBetSI8PjrbEU/dlXkNxK80gBtDkaf2yFlfgTGsahuKDDI1ecDKUztvt9ymtqwnd0HxxsV79aQsBct44tgohQVJM3MxcdXcFzWWxwadXgFemXsZpq4AAoI247+ySPqqK1GYLxK+F2LHV5Nw6/2+k+P0NkUdjp95VsqwPQlz3toaEGp38kXIwvpFZiVU105PRTxrNcl1YfSErbXTZTeKKDLPMU7Ym7VDh8YkzLX3S/PlV+2uxLUM+kNhI6zGOAUwB92dA8nodZTKtzm6jqzV60pJB7y2iqCZWDvMaXzfraLjE9wGXUrQg03yCXud84ujk4f0kQw3hkQ9LBUotwMxz92A1qiRyfMCJMrvM4F6fmJYLQFSOlSu3t0Yv1ynnZgbNTgq/8+cCH3jOVtxzq4URntsUaP71nNwUJ4Xs8fi1+nQ3ZGGu65h8Ww1MNcRwfQcsSNWR2z3/yIefYdrBNTimqVszZdwlW2LiImcHDsd2fBCANbRDpueINKUmyNFYnnly5OlNNiqj7M9uHgiYAkZ3JNNJdMiwcaukVEWM7k0Kc5uWON8Rl6SntwoDf5XS4mwPYnHblkTazMFlhshLNWWDCZudc6TKhdiYk07T+BpkWEsyxT1cFZa8czNWTJGD9HIL3QmhguS8eTcuD1h1zUvqy453tww1ddBQh5ulhFhD7pdaLqRU1F85NnXZdadHydAaN4ZP85UakHXcSH/E47uoHK/x35OTLOLLl1DXbhgu2m+vlv1hkabQo66ghrZRNECP/owqgTBGBmPa3zlNxtNa6S4zGhbtaM0b6zIyjpzhdRmb9XCWP7ULOZ+lM6bCuX6kryZqxobOyzDW7g1u7HPhQFMzA7a7ubXzt/VPrgm2eLBUA0q08ZqSMGvkjEnj7b0wxesTJ3zzss6oZkbDaAKAYqLv2zptGMlztmbkGLTrKSdDqh/1owPkA7zenqWISEQ30D/zHLNQAiMe6XaHW54/1fSi4E1G7RRXg9GNtjxhjQE23Q9qmpbr85pe0PRoayNTBW4LXbfC41Dv4F/hWzNoWgBR2NnHArTgZidCWb8bmsvfoqvIZDf8AnznlTSDOSUtOYsV/FxKmw05t40nsueFPca4gVPhBoC5LPhpctt4pEtqaCpzBwJJ0OK5GsksfmK7JzyEClQhUViTQJnFUR2J2A7/u4cMYM0KaclPWcU8/sIBW2vE794u6/6IY2gztkJwa/6oiNFuXNW1xNeLTh361K17nPapFprZmkXJ0siL+MKrkVDeALhgRyaZ3OeVPPPeNJ4vwpCiOEoplOS0GLHQigT2tr00oO5gijYYO1xpaLMVTnbl65Mm9nnWFcwzu/RbQNUeidUnMLfd5NyspcGXtU8afql9Bww7iDZfWptYDrhF9yvZsdZgS+ejznR+4i2U1IVAtt1p5Fd8ZTokAnDEaUawjb3zECCH9jz01Z6/CSWzjsN/9QoIlQpFC1o014Zh4PIrz/rAJh9t0+zjiMBdt7QJ7FeMkmloKQx9mZHTRSawx6KH5hglYbu1nB0eFFWbydTsFj0ZCKE8HAzfC/Q8VdQrj7B8jMpp5gTC6jpS4zWJSbWiN/AcexDRqjq20bL+8Olqk5Q9eYsuuP/dq4tH6f+WTGLOISojR66dlS1Zo7zDZmpTwljN7jYfziPSoS1SK4J6issxvv/fjEVhY5zmdTkONPi/KYGxNFOd0YNRSRq45trBibVnpchNaQWh4FjOpgQX/77Vf8iOfE8ecG0vVTYruD7a1iA4PwBXBAFVWV7pDtR8y08PE9JdEEkzVurhTn1R09tC282TadxhV+497s6A4sj4ILsy2NJiT+YDy/0SJG7uDs5celsoZIVi2vqqLfNg2VEf6BkX9t2YrrDNZa1daOymiG0IqGuaV6wvSi+9RtamD9EmxUiNtEGBS1UbU1KBBUI5MXemlYQ/Nvt6lj+acsx+OtS1bBNnBG0AqofcXs3Qc1KU1JCNLT1w612cah2FZD0WnTlQqmVmtpYvJQfE6lIsGKFfnQ8H4XymCkzmBp9S9SbDXBqQGjbVwQpiGyfSIqOjDixpCFR1FegxmPPsBqhYNQSlfiS3s7muRolasaJenqG3nw3KzXZCIrfmkMo1ZsKJgWJTfkb+rZztFx6k+o+8ZCuZ9rF7vQU1ic+1UW+nw4qE6N7lCg24YosSYMdWoRfwgD/4/TI7AYsgDWa2TqwjRZV+7pYEtCkSDjbdhrcdqYrU5o2C3RGo7Dpfvfh/mAKxwe4advEl9MNFlvYraFYAZQZARBdEGEoWntvsUabMZ6nRNQcNxJyzHQ3dfJFysor2DLBIWoysTMS83sWpmX3js3n657Fmy837BqwhVJ8La7zqJ/JEtQ6Z0NwZW061KO8c740NuqPHvT001TRvMzPYioX1QnUdaZkSMoM37yg3iMwAeSpwfr/dedAX3Jfd4okerbShZpMzf6MOWePy7fuiER29gRIxWRghZa1JmcurRs/52uo4Pc1p8Nu10YE7likw4CzT6sjEjTY7NsCwK2ljg4C0+BJbGqOlzzCrk+tWonU4V5GfzrAGJOkrt9Fd6E0eAPRkZdzsizn4BAR3fD6w3SNJF/pwPWKkfB74Ab987ziqKDEHwLX3cdg67O37Ol4cC+fGXlkGkTNzel0yQOyiT/YmPb2JgopUMyBMGxZrjItejc1Z44UnGozlVpJKeeun5K8Tv7QBdKm2Bft5ZSU97hAKGXIYxs7E1oi/lPs2eaum1OU/TXdkazWpTQsa6kxA4tbMNQu7uHNDNhWLo5hijYFbLJOzPvVNWalQEkjrWjonnKzoKM2nnlO5O1mU6W7fD4/1XHkerdmxcF9IE/TdlAeVY4qnXhe/cO7j4HTPgYGZXGtHWw0El+SczTTZBhkqzMYWsRf37Axydu4b6tINlphk0UnO4hlct5UjxXL94ZYZFJjHCUZsXpE+o6ZWpLIATOZhE9sl1+Ze7ikYyx3jqMEUAS9zYMUipJRX2lFCjmaRZHgNhNcPnC+kVBBduuz8JiS6GTREgL0vXBt783zQjf2Z0VlCx4V9xYnNnMlt9+2PvY/TztPO02yFtedUIJ6mk/AkXKpHw2gv9UrrzWF23Mm114amKBxkY0WpX/HEebJJycdKh2qae0uTe2UMvH1otOsRFIOWWCPbXTtQlJfVWru1qC9J0u3A/Em70OD+q6ljopoYS7Vt6XYBjeleChwK3iany4FaVbQZfqkzmtDEHtQeeRi/XSQ4sHN/9jRJzR9b13A8J2Nq5b3Rh1klbcoPZpfuWtfTrGswd8hoPuftUP22WXMTRbJvRCJWYWFPykOxt+cN5qPJATL0mADsjKelCox0qRlXChxpHtLMclSo3BWdDejJiq+VokHjh0pFyUIzM2YtxWg2NAhsL4H7V9803qOxHY59+ZU7TsAAXLYvPD5w7X1t+AW/HBeuj0CPPBvLI50fVYENv/zz13V97o9fny/f7fy2ztdXrHW8rKw1ll7LOagqJ7AOEpTlkpdM2h08v8RT63qqTqM1WzdTMX1Dl5iorhCA1sHQCLdmG+/aGjIlhhYWjyVvUoUpLcfhN8f3lahuuBpDTfu05Eobl5g57Ld/1V+66y+0JzWoFFtsd+B2EpLfbu8qXlWIe5kUwyDYHe9vT7cjnLmtI06hSQ9hMwbMdi4wLtJHbgxrbMF82aQjDu2uVEBUN/adM228jSH+NCr6gBpQ4x4YOzfXFwPhkRY+W8luVzUgrO5cZtuKClDrwrpmFxmphsVk2lpoEBW1Bs/cxz37V0R1FtBmV22kwCG6+QY3+WVsmxmn2Sx7oX/wpx4KYjOW3n49cD3q4Thc8I39wN6G7dfn9sv9wn4AMF/hy+BXHmAFg2/3y/3h/vD98Gvb8n4Waq1yBNrjGytOGmUUszIY8gu+4Ytrp72hmFLwgi/HYCW1PDywZ4uNDzIYM20W6Fy5qkeRskhAafegZNFPqyBnhrUIVY5YyVTMd4FzQohrRA1gO7Z08WmYme1OZ2AR2dapLi2qbXMzpn/MOKoJxtKXBvTERAOfeLVxV8kEIqi7qK50uWakGQAp2MO11/fEYwdgy+yIfLctreqSeXoSyrLTgPHawBiVrfNqunBeozP60htEFhJbdyODfoYdGSHmeV/bJ8MxHDKrL51wztM6bsHbsjQacpwozYwtKTwBg7WkJYaFOIfpg4Zw380Dc8icGKsI0dsZb/LM7MavQDHneq3t2DYS1gSSpl1yT+XWDF6Y4Shmqdi4N64Lj08dBGeZGt/Ess/tF/yyveEGWzxaffO4EMvrE+k064iBaCZiybCdj6/KuMhArkTJaGWzPGQYrrs5zmJW8xPy1T7YgRY7sR3j8kjWWSqEUC+8EZotJtqWZca2eZm1NPk5lM/wVJxBDxu9FWXbJcm4as5INnVFdth+N7yXarBxzb8G2LgUWc3wqZ5G0X1yO+YT06gJiK3IiGyOPZVj8H5/NZdwsFKteQbXnYlUA5/jVTSSczU5O/2rJH2kP3OEQnsMum3w2MX7BoRLD28symjivuzUsqebGEhK+u6+ZQ4wWJ0MFBpQrHb2pvrd/Y2iyNa+VQxsY3D0h/nxyEdlFzueOqGBl1k68xQe27RdDot1JTVrvo1sOBB96MV1QJmrKEPY9eHXu1+f2L4wE2zx4MZ6OT3OK4zq77Hw2O5t3yjCs53HWv79+/H6w87vdr7Z8WLryGMEZX5VYqgdR5WlTpt1pQxbOjtVH6MUUQMEiv7iQ+q/0H9YCtsDE4L3R0/sdofNlgXEsLFwVqwHsN36bQ0FCMsjSWDd/gyXWaxGbulwkAspcObRTPn+Rkn69NtzZ1RQ68PrV7aZKScEStiGn79rm6D7xrDaOGjwxHj7NGJemZmbfsyftX+9McCxW5/paoy5sPHqGAYYz1UqtVm6zorPdhvSV68uYaYPDmvPVsFRm4RDKFKMEYMNquVyHkCA5TC4WKEQNN6d2wk6dMnlvzCkrQ9IuRWyj1uUPi5VrcIpMge0lrvHs2Razl6+I/c4qSnkl2y0m2Tj3sgHxiOyZS5htg/4FfNEFdSZyXbYSoVeh22HbcfOAyly05VQK+dEbGEdZgfsDS/f7fxm54udB46Vh4C1uRh4J1jfBwXiTuvJWzhlkvxcO3R4VWq9pUjE/vJdJuAWf6y1QDvaXcZKeCY6mPo0+soiKuylhXnqKoHbCQTPPrEBSVmpI+a/y+BYdjv/VbFeb8NE82izQZu8gXagG/jVENuLffKtGUIxdzKw3O+jsvJAAyb5ZV1MQeQnct2JW7X/ShNui6BygmPWpkZaR5dY4Wpbk4Lc3ETx19NLxupNLpathPeyfpm4BPXtvjQX6f7Aey9kuSKrBIpdipmFwxo/Y+TCVk7G/HS4u63u2G/jajIoMVe6gcO736e4p+Lq0KlFM12WK1LMusHUT4tbdz4PLdfk4u190SdJ1FG/4C7Pjr19f/r+9Ovd9wZiYYxoszw+oVzBBSCePcznrHLbmLhhAcB6MVt2/oaX7zjf7PUN5wtezpwOHKVuTRGJV0GzgMYUnAlChgDIUgJp87cGmO92tiCAmOkWglEb4uR5MKxz1aOaF0nKiIw6fYPxTjTnbaUH3PKwvtjGTNqQ4f6sVLE0OhDNSKf58p57aYV3OqTAR2uf59yajaYz45BGNYEaJseW+9XuYW3Sqwb/9xcv9cIvAlDDiNvUcx4QDYgON1PswYGV9OZaIZ7XYsU7651Ov2FyK7HKwdJgrA1A1zOlUy/TRc4Rzq+5mAAGO80c6frLN7qhbaGS3egtDd/b6gj4go9e4gYdBkjPkycYeTUacOe9N7Fi/pFq0bRjCtqR+NVZYp7HvGSaZmNvX5yZUOOp6CaTFjO/1KXUH/qcVgWkQnvUGR/wC1EjKCp35c70YT6Iti+7HPB1LIuFrNvBs1q34zTYC17+YS9v9vJiL684jljdWhQPusscLQQyL3xW8ITZUQux2PiNTlvKkj83YJvLgEZrXmnje5jQXlZrJJmVf3JvhKD2KV1x+/DpHkxlaIknXpBoZDwMCXfJVKNf+tz2oRcH75Ss1PBIQRZsU2NSbGY3LpkaruhPDvR21e1l/xnLa+jsdiLpxS68fZN4Un6sg2pfUlQN87CFGiLd3Zx3y3IKK8pkKpXeKxfJ+FhFvOJYj+a8/nevnnprtlkNCxXaVwAQq/M1UmQBw7obDPb2cefHPiYJTOXDGnKBylEYH490u1kcLJalYFPjZmJ/pDN70Ov8oBKc3t6Elw56VX/UP+VBw915BkQ1Nb/DCQ6DHzDksnu8MIvv5vDlsGX2gpc3O1/tOM2O9mS1FwioBFL9BCVx1gkHqbRvMdV1abFZEYgVy6Z9RDYR3vkkmm7exsdfoK5LXmnY+t0VbOTlrQzKiwFVTVVmoThhDC8oKldBD8CobTQ9K0Z99TL22/nRqFTqVnLndxaLK5kYscaKjJtnt8x59ACGE54SWnPhd5K7dy9oMi6BzSZa+UOUsj2z3mxbQVCs89sTfupMGSS439rpxHobC2egsVO30a6iQ0vosK61DhvWP/WNwws6W7cMxkDc7mIKUYja85m1LQScxnN/eRcAup+x0tj8ts8lk/fbLNcrDP4ht/833CLduuILBXbvdYXbY7c1jNiY/OAJtDqo54IbYjcoMsrN/O0HDOs4bJ2wA35G2FjxLg6sw84fOA5bBzcFsMyjDFrjzRabHA5clARvhE38ojlmtZHwo0ULurVu2mDi0ZcN5woWgWmdZtxSm+0IvCr7rAmr9K6lZSfq351N9x6A55awtmpTAIK2Yef032+SbhBpfpe7rFyKh5iCeDHnCyVuBqIbGfJXSw2wg9mZErllPASYkoj7HIJBXvn+sptttp/VQQb+ndm9yPLcpF6xGqZkAdQzVT7v6XwvMy4lnN23S7mfs7vDY9LCh0foKkrJKaKOk9Z0bBDFRShbqx44Be6vc7CtYJUOJu+8PXdWylwaTcvoygTD06H1eWadToKLUbDU1FgoStV+43iFTr0/g8cWPjkGkmuOBT9gG36YHViec1iLPdTNLbY9MJi5H74WcOJlrbXsODK8stOu7dvhlzDAbeE4sHLBV/IgM4E+IsbmSrnJUIc4ff6FMJsN0P/mL0el/g399lhit6QmYZE7bipqbWAA0tMagfIZMxptzOJV4rWa2YTfzWtCnXPOMtHI6U4cgNYFF1YYStQ9NL8ZwyByglQyj8YQ8s+iJw8gynzOdH9Vm8oWVViBwvrohvEjV8M1c0sPlAOXmyAflGCvpADGJNt71Sy/pp8vQK0Al/k4wQepeVpaEPm3L1SO55/d1EO6DH2b3Mwm4tm7qFMxz6vaVHXEneybcCZwI0v5vrxf0h8ODc07c62Ftaihi0Yf6q5efjSurfOKstDUpW5UbcgasqDLSMPxm7aNzJ8YKPX2QZbn84sNgAmLtnJWaAc3Vq6AJV1Lbn1lHifdny9rLTtWgsE6YW7XjmeM4hYz82NlKWC4Mad+KspJViV7K+BHOoK5TjLHbw0jSnKlD8xGGPlQnI5lO2mYoUzL+LBgb81LRPywT4A73CpPWvIeBXiVydMLyyAb/RMjMsTY8PkVZ5OJCp3CVupIFP8C9/2GzJ2BsYqFT+cHh4qLk9YJ4oPIIe/ea019Ii2VTbtkhqn+rVs5t0GHg1W66efLDZY8GivUh9EJ3F0Sw89hita+FkksnqV1AaiVtUI0Jlt5AQAW0aOkfHM1RESuLpqD4JEXN+bkzTlFPXt7DSGe8wnVjobcjrP1eFC9cXj40C8V2HNnWN+oedFsIee8opxqXV2Mli1QFbtJywQGC+tgDdfgC8cZipycsiM2M3E7gAUceDmNOTvLFqLlqxDKjMtWrQ8t328ZX9OMkhannPFJ5OEToSYzxyibzWYUXkosP6wnxyrdWi7eR2sVbRcb9U5vWn6zN3JTMvCB8C62eB28a7GhdIOcRLra4yYnFF7No6yTd6dIhI2FI039NHyHe8aouZgq4u87w6cbngwDBKaRJK+zl8lS5jeikWMVMdXCxI7CpzmwNe8aDrM14GkEaU8G+sp5k9M3wsZOf4SeLwRvLSURk4ztdXbXaKPBvKmjZ0Y2smkEvNCIeSSCQapxO4zqItP5rdhJn+y6dgYBpM/35LNiRSCcdaVYBr2tyIV5BXkqm6u6GNqFzef7/UZo8VKbRyKzxp54sw5OuA7L2kVMmpY2ljM+rZZPHhpxMzGrk2zWHXjPYd98s7ly7F6L5yoqS9zt5STkNhV3O7UqRY0ks5xAQr01lskae0rep+yBSBqYlQ9LhbLhQhn7KUtAN99mP9T/Yhzb9GCGciWA9g0ZYxRVLmy2+/EB1r0v+YhmEJ0/TSjcHSV3rtTJeMwrg8v1ZHZKAXq5l2R29wxaapK20xYUGgtgXwQIZpR/u90bc0lGQHr7S/bs+v7ehYuBJfsw0UWuVkrGqS2RojclQ1jaqKsl8FQdDmUYrmwjSNCCrjL0AW8cAo/HbrhrvB3NYZ/yGfnhLmdQSfRwhjnbz/+wLU+gM1grI4KxCRmiBSVEOcddWwEpSA1kN6VmhNMLXgN7jfiZerNFQ3KAMnBw9nxEvsZyQ1pzRPERtlY8qlYHQxUhwYQuEgKZLt2OooziXo1BTrhFaztF4ozCxjdlgkafZOVr/X5VAXc/jdXKvXa/XOv2mmbcIBim0+GatIiFZTe3pyjoWKww1aEVaz2jmZwt1oIq2dAn26n9fUooTs5OvwpVPsaIYpCL4vM4QtvT85PUMaJC9KG6M8Kz0bcoiyHJ12l8hbJIpxDIcZMoWTsI89Z2tUml03T+1lxeaYXVNA8pQQ3A6GuS8z12YMr39iyuNY1oZtJ8ZvY+LCC0U6VTDqokpqCyaRerhXY2FCf4ki1JwirReMx2YiOaB8DzGd3cVoY/Xzx2UlLq7qOs6ag/Kzf0/BJ+TVPV07Nx3ECuxCi7ajAYUlwcXjqRcNtWuznV2vq+KfPEXRb1mg6xEurUcymqDbLvih5/51MutdBHfg4FCIUG1FEJbRA3qPKkzVG7XowLnkn6iv2dnV/6oCf7jfbX01WFN0nCklCqAxtUiYPMA+anHQW8U9i5/cXAjGeqWitC9m1wepNq0JTdcw6wL0hk6xbK1iiwovyGEZ1fz2TW5xGSXFT1w7+4qzPhi7+ypMPdRTI30j3Y18REQxHbqBIT2ZeF2iVQw8k90vnYlnEqXeDUx6i+g7fWu27ew802YhPwKAcaQ+eTeNHkb4aYNSjeyI3kY0tZxwXu4gBfuRLK4IvgHhznCDqZ5VFKBKxVdAT3m7Mjx+8MYFcZ9Hs6sWGgmg60WpCRCINrRrzNIuvFf5VRGZpWrdV6mqckCsbChxp93MCZvwJdKn8uSR5Tk4ZfqnnimUH5Y/Y3AIdlUtfsWLFPG0L/2cbcJixJCvt9TiXXfdlYbmvkynOH4xWT6lL0pvohiaBQGk2NEQ1YPLxqp6bOvugRp5ggEYSaQ1MnFbYCpyS87Kwt8WuQkvrIpCu5FekM9y6jhmmpjqM1nfCr/EPnVIf3aXOtJFDDowekoM2BfErpa1TtFdEWoxkoQRMsdwY1Ei3CGiWZGpNvsEl9ALzKQwaLfJVb7ZlHgck8TwlDTfUcS37o8O2xC3OAlz9wfWZBGgdsYW2sIyDeTbsMjwlTJ7de4aMquPz6quIehoNVyoa4kpy2Bi68oRt9s1MrSC2EsCbNQUlTjpo7Ysgb4HzTW1vDvYBJ+IrmguY214ihKdi3GtIzi26Aowu8rFBr4FqxYNxkBQrMTz/xqmbHz0AnHfXxQaM2j1/hCVDOrKLiS/6sJB6bEXgYJfqFbJq7uhG5O1XGRF7Xp2Z+6LqGUi8phJJf+34pEa4ylTaHRw/r4Uya3fkTNA3Gjl2yd9/era6BQLBVs/mBAe5NZXM2ieUsoA55tfa9pOracwX0FWuw4O7MZlhljVCvpnezw95IL4rVSLl8idedJcZd1slaapaHfbt/+H7ENjV+fWI/8P4JB7D8OO1YOE7gBeex18mVCYtDsSYp8rSIqlGnoxqcE0kzDquYvLxDpbvS61A1qZQV/I3ee8gTkYHgT/nmdIQtG2ullfCK9IyKY8jnlnpZ1RrutXgiVjqY2NUqcIy8lm6s+jMZ3eC2whrj4hw4USNsayUi8r5gWEvAlv7Pl5Ewos3EKgfcpxfySW9euzSHLOIZj4YIU2dui8bRk4Tc9psuS7zK5/tlqI5cvtsAn3bN/HlXjhncaRl6jVTWqkdxuVdyy3R17mbYXhQx0EOFwJYolurVmNE4TKVMafl0oo1NwRJv9MhDXyQ3KyimCVwWxzvHvf1hkzZ4VXdyKO7IdYg+8rAOV2YR8qYUyObj6gdt1QFWe3pkYE06Tj/g3HiaedO4udJvqfh7wy9C2Kc/PnE98PEBB3z5y4W94BtHiMcQhY6F2FZq+vOuy5O4zrQBX7RmBqplYMNfcYhklge2dEh8qnp1wlRlrkSipwBcuIiaBJKfLX4XoC7GU6FGuwZ7mzn198SP0oz8z24cmiw1keCkonK/T57C6mcHPk9MGkWVG3NVnbp9bSr8PJtTIUHdpxF0cNKIAsQ0go6IgaAGjIlN3ca3NgbOm8mnMlOK2UT7WOEwGySXbfJffrRmjtKH1pB8BNHJXZv0yXskTW0zBiuX0kjmQbn5ZX1bajDRdpgY+2s1EOfy47tQOpo2sddUTzu7iTDQHRBlKvHuLR9RLM7IQDGKa0j36nYfYP1/2otZnNyDA8pWtl62+778euD69P3A5wc+P/D4wM+f6Qsfp58HXk7z736+2fHwdWAddrxgHThfWjD9Fy9vQBej9P2fXN4Y8FQeGlEAmqEIXmYDus2RW1OEjtJRaaZaeoE5zaLhU6hhznmcidYagJkfiSK03tVim1bIzxFP+sBCZ9qOY0NxAWCR7KTK+0gbig1To9LRoiWRWrhq3AJFpTAmPhsGmxSXQKq6IiWzeI6Lwh8yOA0Ad8JkxTnQgQ79U8eQKyPf+2C+zKsqydha1ZRWNGV4LCl48xx3HW8txZKxNdCF3X59x/0D6djTNRN1mid51g3vTWQoh8txcWmk5fqB4z+zVzaesKXGW7PNjRCILCu+klHplXNaWyBZP6myRZEX5xx2riM9m2dgzOABQNRMt7v7tf2xsbc/LuSuzR/YEYA+sBf8Bb7wcBwX1onjxIvbcXocHmWWz2t5yVzc54d8pAHIyZeg37qLDPfliCC/ZS6HVbY5o3SwQvUmCAMfu/CjMVasHlmT2gyFvyVGKosRso1RNWiykhkwGJCCnLGFF9TYELjo1sUthxWQ5TrQvlxDtL3YqHolgMglWPconGdqsKmIrX2yuxE0GEgua8AeyoY2LPc89Zlhh1NRfXfONZzwYj/QncjYc8gRWfBckOX59JKZ4UArirrGSjYImfW+yunEQdNWTsxhdppS9uVCPNcdpIbrZw3nNqJohg7pVvDItupp096i7Kqk1LoFXZbQF8lwd3oYB3Uft8pUrRB0PYPp9BjhMJz4qOcLQ7HYZ9mgsZs2xUrepareIGzXFXHfafIkG1jcSV26GPaxcW1cjmsjIGx/+vURc1HHwlrwjb2wNo4Lx4sdlzvwAns5w3SakICKOJGAKW9eAG31d2muCLPJhaEOhdPia7su+q88pwt0Gm89TpsrHyzh6LN2tMBUXGbgDchJOn3S3bX1HTo0DA2MMVOfSJT0ilRqY9WWYjfWp/6KLisZeLXU2Veq3qhTGlqqSDFyKioxJSG8zdrCua1BEzbHlizmJYvKN7G10gMjG7z1qFm9K7O9ZSeeW1a5xVoC0dB8AEVZ3pSyUOw58gfNJXIe1NN6Ze1Ns2h81X/q6bMk+p0UggPw8I6rO+6GYnJCXiic31TCrdNTifTnRxRKu+/+n4PoKNZoNgDbcAzcvLXcoB8ShOChIQaNTchOZTt9d1wrvHAwE3zZvrAjF3YhfvquKs/2XKm/4euBddpx+nqx/fD9ipdlZxwQyyfK25nuA5fu9o35VIU3XxD/jsFkcWm8bnZsszNrb9p1LsVbzoecVuck17xuAhXlzAatKdbTK4dugzQ5SgGajaso20lzKzh4s2XDbkUFNThH+cSyrob2xElrl2edx918AfmogfNOPrCtDN2t39xuSUYDuqte7EAJ2nsLVoZZFBapI8z+YqVLfpHTpn5NJweZrKKutj47PxxfMYrNzdLG8M3juqQIKoZ8rTo1E6FbwGQX5I5oxRKo1BKpyN4jlWXGhbKNoifbeRq7NJWXm/dVgJwzcr1luxmAI1f2GNHpuRNFsDebBXqLZ64l3+gJR1ckv7lZYByxs01p77WwN7ty5GIxTgrd8TBb5vvB9VarHxrjnkk/+qp0EUnxTVmsC0ZD8QbFLvJ9KlX5Tv5fXpFaaE/sQ3nHkUtPGOidakQilBpT8zGLMXU8eZKXk/Q6wHygHNXmhvfe/2Vn5SS6u80P3AtdqHctBMhddL2UQeR1f9y7VUccsGnuU453lxVX6Q4GRWCGwljr3SR+NDIkvSLwpuWunzQBgwIGxk+UsDceFafyKc1eKqnmzExVtmbQiXccetOr8g1eoUjpBj/wDFcVSGnlbFw695TITRvyltopVay3kXxL54oWCxDyjUZZ9pFr5aMdZUJmzu8WrMtMRW4OOWZbBd/qsRZyl0XoMmmmDR5IJBZXn3lo0thhi8mUttPpfhgesEcsYHZbuTep56zA4bAH4NgP98v8Sj/0eMPKurKvtWJViVPSRj+gnQrIdLG084i4Iqjta+ZolqFHo+LvEr84ocI0HPE0tuwzeRg2lZ+ytKlIoYf99CQuk0ArCAjWmiZ2Eaia38aZwhUT9H+3NaqsD/ElfnVYFkjwBDkqAo8dVHHfef3EWOad5J/c3eMok80jTdBv74mqHVGsVhIgn8LMpBi9Qh3knqi2Giz3nNFgBdObNi/x/lypwypx4auZRw2w1apL7tqxangsophEhqY7ACJD5LURcHfMDcAkh5zh1he5rDLMRFpTSV2pVhfPUN+mUF2Sxnq1tDGtV6f/xThNW+EMX9F8ahanKp3Ad3lGuDhSp3RltlcMK/+cCxnKiMPNtoPiGeEn043LgBzuZzsaUzfE/DEPr74efn26f8IfnD8abGG9ZGhWj9VoMJe7+zY7ln9+Wpzlcx4G24vZP25yEUcZxpq7JtxEg0rwV9DWQ3TnXwIUs5JGdwhDoNP9udB+3HN/OZhX8VwlQT3m6Z5lRJOjMdDR2LPz6TS3WkFMaSpq0vKHup5cifasVRVr0Bu1WrGw3lsZ9HmwnaK8NvCrUmDt7G8Wm8aGDdXEbsPlT1dxx2GeDy32fh3AovdeyZKwdtW95sv6j8lzscRYK5rp04TnERgwHUm+yaLnQG57bFJpU9lcSPHEbNNWD+oibqpaZ7nrLtW7hulzNWe9OTbvVhtLdjJUHKgUYcYZOt4J07WFI5NCRgowHZLKvgX9IxEuWgdt5MSWQresQMOvpXsD3k+o4kO7zpTnxt6+L+yd68IGWhn9ZpNAVaUiorpwXfa4/NhuG4crcUPDYTR2Q5ckVZam4DlCp1EvY5BSmV7KtmOETbYxyRy6YCZX91TVZbQ1J1JCjO6Jpeo5glKySlZb/y37u3XevBNHaD3fnWjSfKM2+ubkRsBig+Qce9MeqlYP0xsLW5Y3Gc3UuwylmTgD/pVfi8LocUpZwJXfEwFtdNinpBLjLKUppu3WRRWqj+J/zdIaP9LtuvjnfBxoIlXXySmnftE9Wx7oTp2YqOuQxVjKohWVOlBR3VmwJT/viHj/3FQbUbvPxZ9ymSJMIFw4dAOh5v0duTSgNWMAs6MuwkVHTEzb+i8RF8FYRYh6FwNv5V3Reka8O5Zh7Tza+rrwePj1wP4EHhGFcYugOCuLGZxUJU6UM4l2+fXA+8Nw+T7sQJwtBkduKRUnBMHssGzNTCcS22T60KbSTIqhuFumk3paRb+eGixmWiQg7sWSNNdAXMmm4sJ1v7ypMLzrulRF+5rE5V40DY2/hRbWIKp3VHcRlt0i/swGiHN5b7PaL9q4D8X7W9ecgZrv0b6WaFjm8zk5dNqn3xsGv4c2FBYlchuA66DkYj1ZycuKV1Yf1vUccpshVTbcMQ55qysE90ZOMoGQ6Tx1VIcklEf4mp/x3VOW3gpdvIPPcythzAarjct5wdLDWA35avidTgCxyZeTP2occQJhyzpvlo7EsWk9qBlSOkUdPY6JJ0p3lBUvwBCHxE6nCe/9NFPtVbPBF8dJeTUpuMUM8boSxfbD94dfcdL11ZKGM9ah66RmuWHb3kaurdzUBNsNO5+UM3cfW54+Tw6KXjT9BzjBYqWYkkFPtKIVngZMiXc586Jvz9lhtLi7O0IOqqWjv3i19DQ54gkhLNytFV9yxyx6Z4EtuTn8angzoPJcARlJIvUxHVzJNPSro1iPd9STJqtWywcKNJ8Ns1JpIAFexyPLkjSFbLEA03vaMazqIPkguMVVHg4kiTH3OfMVYA3AHZY5lzQYmJYNLeklrOJFJixintyMLOok1oYjzveORQqkgGZjrbbV/11Ry4iermw2WuUCZdk7Te5S/6FOSaxzV/YisJQ5KIVjJuaVWG4+VNaQYRp3sLA4d2oVJynpxOmcS9mmU2yZxjmPYW+NOmieTC8FsxPyAhL0BrYzEYbrgf3AjnBssxyrGnpPovf2M1vLLcorVWOhqTuOwc0BCswn/BTfmiicvzjGbl5WqNpk5Bqb2DHepgbOI4zhqXlpKWbKHd19wcx/z/q0VymGhXAVTdNeiWI34kqNuIKI8DTqVEhmG8qtT8vUp7qDMxLadB+3e+OJ2hCYymrMcxWsr4qfZOKuW8IjdFzpiJEATSQ21nqAzkQKEUK4LoS5fujGSTK3d0mE5jSaWkhlsaZHLQJuCQXr/XdM6kLJy3LjQK+haES1NKw3hTEXbf6S3c9pmdu8t+BpAjOEJlI4kcJb+7iSLSglrQvoDdcqNMyoKr++byRezdbn3r5tbw1iTR+V9GEO79S74qPndmDXhz8+/P2n73d//AlB2DKsheMlm9p7yCDl6zClAj07TL2Ic3eVyg2D6i4OWt7YiCJDe0eNS3T8feUUrxnkffnyHHXeYpnSyakft2l1QAvfS/e8eQo8zfDZpN7Vl94s/unCQhv5FXU174krNK+fdjRf3VFxVtXr9NUpp033skBs8ykfGLdcNS77Txne9dnrOa0slO301eKRYyxM6A+AVWvWW5zI4mXe5ll19Dt7nFrjtld+cGHnSoDtUYwipTdcn+PhWBwwHlvATw3mfk3nZ7H/F8HzNrMbTJtOE7A6VqePRGVsqrHubMmv+OSvtvU7zAB/aDr/rMbkvs3+M59A96pzpX2he4EccCNeZlfx5W3Mwyym63CcxNM5lYyq4sP3p1+ffn14PN29N/zCWjhW2EwmcNOHGfF5mWytx6BUIaqanqFpQuv5+nLNSFgRBDN5UJlyblhYHrJk/GRSzV49SfHMNrT0cRp4bhNRozAg13OUo6y058iXA3pco+0+4fEQaE96T8sD2ZVMEz4o71gDywlIm2N6dCE+Q1exKsbZbls3BC9UKtY0YQ3/Xibi6GLghEGX0jrprMSciBypryYTa/s0MwMnd2Gu3KZQ1MTHFq44hoFnlHozIpAj3TUavJJeN1GW+nUx2fgLpfltIVR90fqiebu3s5hNDtHbjN4axd3Au9W6FrWj1gKBWOOBYtr8oxo2WK1NStZYm7NlK8IJ6nPWmaQWJXY3aFVZDiJDr6QHyhh0N9PY601gt2FbjT6+PvOoOTmSUCJ3v3w//Pr0692vD3+8+2dA2APHwl52LNjyDJDjGbc4zCq6OLKfVbYd04A8wNosq+SaTM+0CAFZfyQP7LZEbipICLUy15kLT0FavyWXXphTWpZmY7TmXN9iXKLlJYpYu9AjhM7vhnSkxuqrse0fCsHLIHXhaFkeXbAbf1kRD7q7KXsL9lvtij5Aqmb3GoCyXNs89+HNS3camQFXk1X9vluuL3XEQRIaBIyNW6WFPBB6wVk4gmNt8oyLPGJ2HUwVRWNiAqAst1hjXQrtLttEVVteUWGbdj3Lekiov8/RFMBqb4fsbmsQhQb1fyUlbo0PCihNK+1Mlm0uBQGoUCaG2Gixj4iww1Ri0lpMZ/fxfEqsh16Cbe94JliaJCeapbIYiWhT655qFX2Zh6m/Y7+w4MjOPTL8cjzcP31/+PWO6xeud1zv/vjEtXE9YIZj4XyxtbAOXDtJspWnnNrGBs4jgtU8+RSO7W4btnMqeSht0cVD/9AHHNPsEc/nyOfZ7aMdCvdm0TYjYG83ahkerVTfeN5JS2ubKZuFlUliwcu8IUWnAMYpzWZpe/QylD8vXbD9DO1TkeO5SOFxD5q+et24VQ3t3AUj3eNChre7rW8Ir83dNQrfrbXclHzmIfmtuuCAaNpGSK5rWhYKB+XSZOup8NHR3IWvjEgdtWqDM26Itsz0udvOgKOVItAWW8wMaH7JaTqhXuONpspBiTnIo09Vh+mvxrlyWvPz+Kz7n+SJc62W7no2kdEEclTudc78PVbwxlvPTR/D7e9wIItlCZqrc4v9JKTlaW+j+IKmwCtel3NzOsX4+CRQEl53rMX3/fDI4m9u07ov7O3XhViIsK90EjHmufjJgoPuUyiR/XGgIudw2y3F13jVrfge0xt9lGKYwuyaP/qTmy1v2sAwWZt1+iHtLq/uFOTQRrmmJiVG7PLRCofTR6GLHArtnuVLX5bEGkb0X8Pl25u2clCeEcGIGptOpYtu6dTeb2Yr8qkIDxZUbAcT73l3LUMZrrP/Jqw4XYTwa3g4LTqQwL8kDFNmAIvIYejxuHnxCTyrKXxWAWnwpUKwTkrs1zwIaOCWIcwX9tnKMI50NqzKih6NL02gEkm9IfKz81TD1WVNNHrJIju2Jcu8Umb3Of9Mr1cDDmru9gyRGvU9jOs+qjKeJp6y8R6sFDNooQYRF6+zLHVjb78+8Xj3z1/++QuPdzze8fjARfzyDTgu39uxH4c5/MBuYojwxA5fMJ01UY8buJCbWRDS2iTYfqOYzyRIztRL+1FqIcEN8/XGDUZPX/oiHVwyDVFphC+8WK2SLNWdOFZD8PtJGJOSDPy5cg4uZeQkCB12OvjWGNMaCwCfBrqUNm57G01GJZLHF5syys1GQxJ6CrNASEsQtINm+lChGwhk9sRJy+XQLrYZ+NBDQ7xW7+ljKp/Qto0tOGvdNJfTmmkMLJW8Fwuf0t82fjVBBiH0I9IQdpJKkSWMsojSvRvJz1jYSS3Yf3r1cekSf6I826Sa7q3x1/T3lrlHfZigA0b/u7CdHTabuLUSQ+aCSWOLrabf2WqlPM0+T2yLQ7Guh+/LP9/9/d0/PvDrE++f/n7h4/K9GQiZr5VBpvP5OI6cms3UivXDKqQPFddWGYYPSA1/0U3US6XN2krT7izB+A6ZkWUbaa/MAE+3MFxcwzg6gpjBRB1CyDZM372NTUgsLzl/jfld1ENk6gZnuo3QlSbQUTjoX1YS5/80HadhFGAa2cLdpcxsZ0ZrRwjdxcTVEm0hAsAkJj/x8j8gOPAKt/rZCB0SkTYm7q/2BBRss4hTqmqc3C9t8PZk3TrNtjzIdCMagt1vdSCX0Gjdcg4b3EeuiEmWlyylSRVAlOfqDmaNVI5dOBzwPMNpLcYiAgED5EdqLM7lJ2gHfLJRvw26jbgVSfnpVGlPLbZD3/dBAmnBYYuIfUo6NhmvEPlWWkpby0Q4cSIhLEPLKB5b80dOKzPqCJfiGGKznZw8XrgeeHzi44GPT3w8/OPCY/u1mdcz5PIC2ZQpRyw5ZtG9/Ss6pAfKOEiLpTNTTcSVxs4I9ASNQj7TyPpiNSvQstYTFCAUV/k5v5A7lc/U/TxHT/Q26RKcn6zHKKn4zmmTwag45Mp5YIEVlpUVC4WTRGtDCpkrHA5tGBWCAtO8vRYYuGlMGR9Tk7yqBaMJ3pYd0W6crKYdJTufLef+VhYf+nHHGIvh5r5zZpqiVPWApGnFc+8o11W2fjLlxua7GoPd80neKUncXxGBjq/7Rd0TuITogZXusJoAQCp966W3EbpX2qGRWB+ThF6GpLl/fU0FmtyCEV7SOw1qSgfMfOf0gVxK+yCdTV9qjYfl3psWB2yUtFNdVfNx1T7Fh8lMB07/zL3APj/244H3d/z6hfd3f//0eLoorzWcB2wZduxFBTvTdywH4kzcBVuwA3bYOixOw0bm+D1WynTd1dhqYixz9XllvM/jl59ynjTGqkS2b8QLu8kqEYNXOT2PlRQylXA7TdtR+SwVee45t/sEIMRkxGGlJMfk0nNxFDHZGhu8niTxSu84/XDz9d0WW2abPzJiXcp/9/VI8i2NSQBg3Cp3KGY3g2Hl8rtqeI7y+cPR3u0Kxn9mFtniCkq80Vivp7a7gQrwGyl0qNY+LfKVeSq6vI34C32sq7/Q90Ie7QQ6vSgYD6auTXCNl7ambRZhgxMGG8nwbK522ZP2NscB9JNm7lxrQ6OjsaUkpusI+DJmzhZoe+JgeyAnw+0a5RDOeLPddkH2xgZwXpGw//TrA4+Hf37i8enXJ/yCbRySxaKjMMSCXDssnheqevBKwMrNpls90hYsUGxVANUNoECl24dmf46nEYuhzck4tPqKjVMAuUjvCeEsbyxHW89Kg1LJaZIuaM1YLttw8bqqZ4ay7WYRnOsbL4molg+f3mms7IhzWnszGofZfclmTOS9wasYqPUlppp2OWfNMfNC+N3GGoQRPaSyWsPSPi5ucbBe/qaYqglWPRKMLyQmaC+tsULzUpkOTh2WlSBoSsKBeSlhDt0a0zRIwTTzsk3G3kgp5MwmRqzlAA9kyw88VfheSeE1XgzhSRm9Mu7Vk1SG8QbEWxh3rinZje4aJHIQ3skElKSne2t3dP6oBYb9lSKpiI3sSyO6b6fW8plpozsF5FxEdF4Pj0MhH594PPD56Y9Pvz49IGw5l6kKNRexe8GWrZUlfBg8zpQ8AsJyjcX8FxBviA2ulZ6thJm8zvAEOSHFjdvFx2CIt/RKf4WF1Fq6uqcnHt03NxTNS2r2WH/4LL1Cexl98VL5tV2PpvHRtYU33FDBJJT5jsNa6YkuZNVo6upmJ0G19acBSxuBWFrZbMbYYVu9xM+7XxYO1EcOVABIA3Z9Jkhp9TpDqX6GhHOdgo2hZlNtIy44/G7wlmhbFhf3+/i+QJsATmBvtmiVzgYaOA/WCB/JMhrhUjqDjayJOHpWVFiX7OoBiQkAc1qQwztpcXqOU49Gmq00MHf09C7MiHrdE5hn5YQgSOTKzxxWFYeGtzm2Mo4ON6jrBR1yL5ZyY1+V7I/FKPCEd2VHnSIQxm2i8vn49P3A4wOPDzwedn34/oQ/gAdzINowSLWplU4+SQtsObBOICaSK/nrC2hwJgtpw2w5YGWc+prxhvS68aadauym/eU/tehj19dJzwCfLLly46pAp69Qc7y+wC/rH8sKs2DXPRoTH7F3R1uHyNxmT6cGiXSbnDzm0LVpkhngK0J8lN6wbNCaasT2N9RKXVPxkVt5e28lk6m4kze1TZn3wecYHbe1fXeiUML3NJLbJH3M8xxVyUT5+fxDamRmWy6tQU0OlUHCjC2aJEoF59Art/3E5xbKy+GEo3af+QQriK8MUzygzVNjLfL/Ny/iWMazh4xt3KSy7eZ9CreGOWiEorUVCm+vjul2/8qudHnSqHDag0EOvzoGCsWkJZX9u5nWuS+/Luwr9zjEw3BpzzAOL6eLVbni563qZHmsd8yQnehm5ma2qkApO0mNllZ5NWzD/7V3t6zEGFBzzs1QpQDjGs0cqEHxbXf5VOCmxf1eKBti3hlr7ZJGQbX6pNol/wzZM3LiiNFBnqNPYXupnmvczgoBitnZh5wgSbDEvrQVwsPwHk1xjc+UJQU1ybwnw/TRyCMGx6WbCcVae9PZdUvhFD1jxZXY6QwXWBtsuapOWEVaHU38BvBCm55NLjl4eoZE1Kk3NXxn985CFFMd/E6zvKrJpzDG6NMDbzgXtmlk3Y+ltYvtNP3O1sZZ8SMM9W4jaPhXyxBv2CcCE7cHtCcwUryFYlUfok18DY49hCCcPanZ+fj0feHxsOvh+wE84ly5bSxE+oKZ55+eWm41f7Eo1PuBl5OPQ1v+24ZldkQgNrBIY4D1LSr1YQSoi8FuJQ2sHcPE2XAz7tZ+i4Sj9bbfSSOmGZI0cTt45M69ZfTeGmi1a0akQboFVPqDfgEOX+FiYdZdq8ytIKhsP847lmBTE9Pf8HarOzsM+jZERuOKjUM5kFgoM9xBpsxM+smsFTduKaTTt4XaTPHWKGZg0EG2R5xNxBUe5GAsFxnUXLdbcMxVw2AqN9REU7zhehmAsORoAAFpRacegI2UlRMuw8zVnI9vI49TjCroJYaoXbgrzx/XZIZhExqWt6e7AOAigG9sK1mXq4JJLq10ZuDzY2OeLaaJWTE8ZYlvBpGRQNfbkPpYFkHckCHm04IeDyd0n5KisjyoKZlotR6lq82Zh0I+XG+0qaGHCJfBYSu3md7XtsMsUCbWN0QKnymwLTVYtg47zkqNKU+R/S8gtliIcIycyINejZi1aKfuA8BrSoUCfiMT5FIULA2gv7mUOV2kffTI1QLaypaarGWcYap3h6KeLCFkZICavUrJiHKECwurdIvN1qAtTlL1FokQLnZMVR/BDSfzPNO7oKGmBFoY+BfeEZ135XBl+GjBQv9lGSv2PHZrwmrog3sAuIyCO2/lIMnXCs1Ut7FsVSwdnpcNx15e2XEPWIroFqRJ6nmNw1r1gbPsXlFyY+hAKfcv61hsmEze6+ugVbVxlvW1WzIDzsDiKtt4aVyirRmMB/GUoCg65igtk+UtWG1s6H8Yw46eYYb4vajqzuRMOVNJXP0/idv6H67+c+wyagOAM49Wi2PWrnhciyjN5LFlPhjbsWNJ5CLuGCJgsQjW5AIWzBK84ijc3NfQJp3NZTRqARifYXGUZ2jcaqjRdIMD123J4/DJ9DVpLFSbCtrFzbLRZg6JmUPDO6sB+v56hebNtH4zeX3cauMCV5/c4rkeGmNMGLsDYxhDCrpJejVO7bNUsoocjGl5tdAsesCtogtd57osK+xcu9WntHkFP5IJ1I713VwUXdn8vMbT41J0asRl3tqtgiUU6kVPzYyJr8gPA/IUZgogm+1AbSSmTckrWmNDUrjqK0s4CeXMc+Z9RKZM1LCCng81lwRBAPXGquJJpm66FRUC1mywbSZXbRT7tF0IZBTdKDsEUZGdAYp3alCWymi7ukwPqMuHVZW3AHA+PmJ3Vv98+BV5MU4YNW5h33Z8OtbGunC4L2CZHQZbWIZ15BuYYdnxYi8njtPWgXUkT6QOMNgh89KZETkFvfEPGBO9GoYYd/Pd6Zc4BOHfkpLdsP8WOsUNBZs6YKbcce+szZOe2v3677E5WruMXrh8Vv5tcFgdtJP3pHf1sCcfIyuzfGaQpt+9q0ar586Ddruvmm5X3yF7PorDxYvOZX0tBi00H53085hE70C42z3tuzJgk/oKNb8Q+60BaX58GvOY3RjoDdNGMz2btirV7n040369ciK5IDwRfYPVHSAGe4BWRd9+DcHQS2mOksqgGbfmug4347qf+NPNdz2Nn5SbsP/5lX4zdqHfpFG+gUNpQUDbywAseIzS0k0y5Ce/EmbL8SE0ymNdWOw/kUcWBVE7diZoHjVmgkfsO+fuyO2i1wi47IAfZma27HiJQ3C5fIx0GgCLJ9qbXzX52vQrPOla1WeU5wXg/VFkWZSuk5ZVFarzC2m/VvhmdD/F6AZr3WbTGGRlIipcWPMmGed1rBKRd1yxOgd+DqktodHs1iVn+cw+SLq8SmzMsdOCdDgZ0KHPyHc4NpvP0Jua/sTXtMA2TjbcP+qQsfuqA88n1PRtTp06b7O5+IuHjDT4iR9RHshBlJcHObM47WRFNSXm3C6icun0ut7c1hyct/cm/yZsFmPG4RToX5MsEHfcN4hQLIstdVwLfYThuf6GqJQPreUzp946c2C6gmzPncbu9BXGEJ0XCQPFaSCSdGov+GFETHbpNyF2/U+Kp6U1Dqs72diSEeVZfjiva5xUBEcmDi/2Est5Y7UEbhXrnEqu8A+HrQM4LZawngzBtOFWapV16RsHl9UHOZ7G5hq44KHQ4F5WrBsYQ2iSNoRSHVSOUlbcZdKdPRM8aSKK9BpNXTlLiUVPH9QdYCbatPKCPzddrGzGcm+n55bGvC/HUK655CAsFghGewpgi0HEryYuzpa8UeVM42pIo6Y4BlvVqzZ+bZ/PDltCa8Y3vN7LsVifBMIsFzZuKY/JXtP2iIzmnkfATdOrvPj4WFtmF+gj2xyVg5YS73KzvHjDNpdHSbOM2ediX0XCwTHmH4sLaecVjavqIGcQFUs+lpbBAzGxwMk7ruhj94b24kerdVl9n753bC1QvkWKVb6DPWhCWU6CkXWO6HwoatX9G3ZhXyRrwQ9gJR6dx5H0xPp7ZHRnC8cL1outl0ztny92tCisGCugkGcldof1BOrk+hYTQ7542dOql+KzUhFypf2805sVhs1koritOaieWJUz5hRNUpoHttCoB45JPl3HWsRSJnsfT49LrIDI8Py6fdYxJyM5TUMNAYzDt7ILg3ns7NYmyK7pYYjHnQB3G9B9nDZM2jYivnXTs09ed0pFa6fM/2SYKm/NZJB1sM1W8o99Af24GU+ERZNX1AMJxU9ExOf32XDlkpgprsu9XSmTjduOsUUUIBglhiwpcIRJ+65rmpuX52H+v+YAVL+FOLi4IfCCuftlzkgx+rlN82rkY9CpicJDNutDAhq/xjIRUq3311cKDiajK7wG/Mx6lGvd5TD7UNNwLWvBkQ/augMHlvFYohUJLztOrBdbC8dhx4njZAIS6Uea4ZYnVW6uQXoxzKjaHfH/YuCgAZmD+Z7C67pX4JYMNT4s0jJo8HqAQ/SqXtGyj92blpgTe3TmY2Rhe5IANaTqQQ52hqK8y24TI1BT5Rsa5JEghQ9oHRRzi3eWAOKtzlYOJzhbJZHQdD5eoJg36DQyIemxeLiAYY7zTGWFph1xAuZWGTPHzjxqf4zMvapiPYFSuFSTr2ZZlFxqIFNPptwyQKdqlEmNbMbf4mnMR20AX4Nc5uNMxN7ocdbm80L4QfOII3+czs5667RaE3KROTwS3TdD29QWU+YmnpPh+JpCli5LV1Ba78KJSg03+GqkOfmUk9zJlGIVTdRu3wjwuq9x8e4M90FEBgzbLJNfsb3qRh5lwOx7zmsOPvx4wA7YaccLzhdbL4FfEYJhHa7HImX/TcBA8aAMDxmuy/xdNuq6bvhvGoHXt3futplUV6um+3pONdS3uZjudIhImqkKJTlVv3tWirosSUVK5+oYNVLR2GRWhxq/7Xwz/mi9MrDtSDWeI2+yaJak4FYWpsWs2UTrqB6Vz1RxAT5v5mwsC0V8VqayeFOjpSyFmGotGlxazp7JgULA8Jet4uKAucmlaBCNwlllXD2sHnhngHtmjuqCtgAREf3PSMnAaosiRPKYSCUmAebxJHY6vHSwVplz1JFnALBZxzT64/C8HYKQjztlGKH6RrkP5x0cWWKVLLO4JyMw7hoDaF0i/+5oRNwh5OXQzJtwbRTyizSgFCw9ZihlxXbnYtvxuJxt4AhgxrGxLooOnJksnutzBnLhfLV12vmC11d7ebX1GsiVBcrjCXfL3scH9UcZW7/LqiwY1Y1kwQ3PeY2hYrf2JExncCFi5gJ0VjnrOPug+6fZ3muZiVg+q6gTx5Bh+QpYbBG70JJrsSZj4OPBkxtrbsxLsGjXjti+XEFxtmObVJesycxOzl7LLIkS7lHw2jQWNdh1v9YxjoERF1O7+lfRX3UudrYA2dOzNgeGJtM6s35Af17gd16V5dZWJQZUDr57McuhdIjGRtokKDMRc5tr520rKRnDRNoXLJeCp144/IO7AOQABtv2zqcvFSjIkR6oBQaEzpvPyAVPC14Prj6ZpEbaJWsL5pYlAGEQT7iaFffeYVN2iKv2fFoKAH/6c/drHADOMmwD4gnRI20fF8PxBR1Jto7wDbZe8rnI9ZLzx+O047R1ZmkyNqtoaDzoq5nGoNHgDY+fDbWssM8rn4p++qJ/Ldymb7C0B2MZVPkd/c8U6d3+GpyUhDthNojJaQrvGk5cI3/6jFjwlPKr1PCtjQ5NKFY+I1/xjn8QPsvQE2Kiq127Iuau1/l0gPMz9d0Y4yhKO3ecXl6keMeVZOYawGcICWkhws0LqiJXCQFN2zUaL+fmNprg4HL4vJraUhXAFqoX10m7qgFVO+sM7lwHqozQ6rtmWE9+kq4uZgZcdtT1y0SIibNM27bDBYlhhid0zSx+RoqyTwNlPlU+9SBZIs9GB8De7lBWL6+W6AAndvYClHM4o1IUELbU/KL+WBYl7aIjWsDJZV9chX+8YR2ww45XW4edLzjfLCaSsTpMeSYUu27gdBvU/BJ3DevPIfFdTDhtZNla2wpEboCj2EYoVjvm6BXLsDafT2A6vz1ea+0eH8MJNc/cUgU07txYwClln7fe9co7Gt7mxWNI07DlT9HJ8tlO9LWAmweon1FnrwXxxnSNE5Y9YwVBT0P8AI5VIpvCcI/9gMYKzxBHdj4tGQmb4kd25yF/Y9IVaUit9GGSCHp+ohIq99cN+ouZ3nFdyFvkd2v7i9f9q96C2Vq2kAm+7bEjaa6QCN3LoZo1XfEYzI7ZIhecZxSWKXQjOA12IzVQaFQJq24ketNzyga0LZS7vg0nP/MVxbIyWWv31YDMalXBnWHtozMBFbbzsSyHmS2HV4gGg70gHnU8uJ3O+Y1p+8jfRyIsZpcmXxDJyT7/ooSJQbaJ4ggs+UK43VrTstKZNvum1pXrXO1Tg2K12vaVap441qK5QcP2cjOipqOx38XTIw4AkcvznC+2iFnYmwzyyaax13/rkJl1YZIxAU80TDJGGYRtcc5X8DhUrN4nSbEpNPGiHShYV1aY4dVh+6lKOzJxvhpC3fwa39LrUeDRD4Mc2xmH1IKdNhTv9xFqAZhjw1eGFqVWrIXHbhqt8NFgUhGn4gACeA3BvDXcRJm0EwGSsc8Fcse+3C/ko+BuSm7k7i9GG2hG7+yjwiIvXpj5Yohsuo0eaBMtqVO6izpHyJeYx1Su0C3zjasKN5R3LCz94iiDlFhARXgm77xL/KLbZV2lmGxAn0imWq+YFJgEAsAW1mnHkRC2DtiB8y0h7DywDlsH4oIErwHhXEw4VAZkZInwBrlNwC2f6G2SAy46qiKSWCoh524uzVVMV9Tl0dTRBxcrnpwuphHq3fIoBllfR0uwUXI+vskdSdvNowOvr9Ogn+x23OBA7es0AzjuuH4DDbVMRg2wrQaN6mb9fsdXOYAOFI2C5xHaeOdodQeOAVDlswBO8cM0Ny0n6PgcH9Ge2JuBVRWvmrGnxDLXU0WLsKBW3VAxIFijlnuFht+n40S5lg53MTXfY4GDpmKcCDTrvdmK1/c9HdUBp/uDNpWmUCdCct7dhCbJ9BgwdSUSDAJTklS0ud3TbVVRUMvlXULFZS6UyzRRw1ljTJ+Gw7AtgimD+TJbB44XHMcyw3F67Nd6vuQWFMeyxSe9TY4iWyxQCj0BMW28vGTIT6xQtTGqxBWqsAQtwSZ5e5v9pDK3ZYnD+HTNPUPXNH3QoD9ZJBox/ZoCHnfKcarXQdHIOfQR3PDJpk94ZlYp3FaviES3i4OlzZJOHgTLzcayaUbH/OFR1jGgP3U9KLBpIS1UEjn55+bHbWFS0GamlFK7nkZswXfldgo77lIbXDffO5eGJUZwbw5CtDlz20RRYtCWfs0uRk1YI745aOfOBUSxlIBFR4GZO2Gs021H7TNdnrGhmItdvsAJxvBrhlZm7bQ2kMuf1sbXnEBPtHjhMrpcVZiyuhnzyOhsygCo0GdsvhtRXkknkb3WSIV/5+YkOTo1gy0/iEdrWURYLy9YAVVHbrd2nLZMW1BQQ22AQ5eD6GPENNIIQ09pVF9nFOiSGlJJL4LfbYLScrbDI0kV/gpqQgN7/y2OkX8hHXFDU88aza0UVNbUht+iQikKMXpQ1ngmc2AJovmu5IBvTWyFUzGqWiMxqa688ljzIPlYiYYcfKo1TG7lZufFcA04ocCC8O1cHlFgygG3PE3ERaUdljWMBB4AXmunaqlE3KGSdnxftVIlgcVBL3RH8Zm1cPKTmpXhal0no6zbycSujSGGnO2G+m6l+3AHZ7/zeeqn5dHaqxx16zsIbB4FyL1PIjgcrjIDbIMzlWksmneNYnploKlLbL1j0ljOq0iX6nWIrAGXpmqJUHSZ1aozHujNLXHNzHCcBs4Kj2XHifPA60tue2+nhd+KvB9njhjpxdJx5/huRts0qY8myKStu3kdxZWObLTQ6uKpBenraMTWmUllSClJPxles3yaJpetxGe7RlFOPjOl9ZRi15t8r2yWdKQ6DJLnPFDPBEcUQ5uR2bA1KwUWIpJXxJu8VhEF5++cRzDI6Au3ouvYtqymdJNVyabbyiNSDXKknEbXRYlCv8MwLs/NF020eWRSGaiGVVkupkh9oPG1VAtjptZFKyjmJGgstPHIfEgpc/sSb3uneV+bK75TeJ7ZjBa2CdAK55i9LEX0prkOuOX6jGCsLaJHg1ZRXQbl1PVV87SxpauQq30SjxBwTVWCgkTGxk0gi00fU+emW+JGzX7GS3pWJsnFDo0urqr1hmJVEWVbmSGgs2+bqp44M1O4eFqHxRNCZ4Zd52nnwsvJKRtXV6Ty9HpTeduG6QEHN492e3UMa7fOcsSdQWQeAGZ1jC3c9uRtPdPqHJOX90CBf7Pdu1ermHZi0L3G5QI3mlQ5om7UzfwUNqsosW4OIHRh9Ras3RP/+rRMSiJB9FVRHahk/hz9ZLsQ1yam9pe1yExNO56W52Vzzg0bbDGCiS8X0yvil5mgIs3mS6V4Er2ZeRx56OBpd42MQJexHJanNDaH2rqb80Y5P3DFZvvqCxq9N9S4aEKTIWmzOFbzPsLuBuRIwVVXT3dM3pSTzluGU5nEZsAV236FQNqsS8TOVMNXPSaUJWcHjxDbNk7kUOVIRJlhz6Qd/LSXmDDmMgg7sGJtVyzvMjtOWyt3yykux2lY5fE1GIuCDr2jQgHV4TRLmHmn4oUxZzxFRJtSgjBtoyZhpY4AeAIiiENJgQKR2viJJiYAJCxiVlKVz+7qnyhWAiqxZa9Diw3tD6/M1/STiYzeh1yvVFWxdKwJJDGNjv6XD91p+CURtGdA+s2mH9PfSr6x1aUU7pYDmBBcNlOsJH6pEecu1y2iNpZi7r4merwBvbyLR+ywvJXTammF4GycUU4YHq5ZbqrYEZIgdc7JjgRabLpD/viT8e1q0ggurgx8VH6pRmXiBPVkKhXfgLJREdCMadChWLeXUcqfyhO2cKrfeB/RhENr5tEkQBK8Whc70dwZUyMy8MrPnMdbTBgTwtZC7pATZ3ksy0USOgQkejCKOVtueeGbg+Arz5vjtySgQ2xjzL0wTRaF86/BtgSVcSUix934rvvzHwu0c+7bWZ+X2u3L3ei/uc9bL9UOOK7Fmzp/BFt3qGLMrUNWW30ov4pdHDWF98a4PhZSBUVCN18r4Najc6uJ8aaYKPbePmyOrH2+bKRqCXLCnfi5ukmYSPKcnrX8MvM32ZlNpnRIau25I1do+14RUKw0cNwCH7UMi63POTrqd+bgeCFtIf9lwdLr+B3kB12lOQZyefF2B7QfwaIJ8qxGphnUVxslfR4c2Cs1fM2RWRuaxPEsXhDICsV2gcZg7pc3364Z5jH0vz7boyVHLhnE0zboeQBra+F8/eEWO9xTk3KHnDOi61inqlqKQ6mfRYfp1LZBYKms5hzhFtux8whrEVgIauOnLs0VAH1tRohaKbzQJRvQngvSCOyJnpliQe6E1Qvicaivp0fDxt6MzzPJStPJZ91zPn6s0qXm2fiBDVcoNecgi2t34wdnfnUZtS9nAZWOL/Y11lKH3D1XO4Xma/9aT3/UMzRqror01kMIbbVuXnLVYG+ePVuzMc4GLoAOdu5D8QHYYkdm74pPonlyd+ldfr+Maq+tf3KlDVuQrRPTFGjxgUsDq7uFsG18+kihqOAsJNcG3WEkKSvclaBghoN5EddswVs1mlLzCGScCy9cM6SF1PbUCVoBu54Ovr9RVcQ0Rh/XBg/VRNZ6Lo5Tz0/em+9zbUbOo3UFRuzamTCzTN7xanfHeb4mWnNFl62Iwo5aciUBVc8GmHvb/8da2PBkiO1PondGx0p6Wn1ZU0Mkg2qFTwh78z5v6tATgJxu53kMyU0+z5VsecoYmlQhUczzFJRMNOoZ5kAWj23sTbFghyKMX83p3SOgzpqn8qh/oQC4sXeAF2T+gxbOOFKfbWiMA23aP5bsTazBXHlMn38T9jDQaNuHAQswn8hvH1YWqhuOt7/TwlhS0f3PwYkMjjFr3sz0Oofex8pPravJTBWUV6khiHCTVX4ZvTQH0zgHVFiIbn3j5uLM+OW10iYZ4Lll7px5q4hj7dYbOg0XnAMv0xEa1NS1DyEtycmE+WoM6JMHb/d2pBn8qXuk0Y7zx1u5gAycz9xOSQ95WQFFa2SQZSHucmRD00RyDzv+msoGVsndm8BtXt2RgQtZPWHIDdwPtTtbB5BF6NtwHMCGX9gXPj+wHZfn6oTzMHM3x+NI93MA5+Fvx1cURrNzF+ZO9rCANqySOl36LdDIN9rUarKk4784CYsiY0dti/1BF/UsfcWTeFpsB6BV5NhrrTdyurAbqZXZmMsA2kh93YfZPHWzNEX7VNkow1mD5QSs1hH4EHLMyPK0lKuhbRPKIP2LhGAyilAsyCmac5zzoNLspCam+c/L5yYZi+AFxPo82kHLdT0jYDSVpfOYSFbyBzhGBma8ml8QRurPtRj+WbvoCZjYVA8pNNKCpPt94gXX3hszoIDH80J9R5KbjCKaO8/j8E5b6IIi8eosT6iqORArqUNN1cfA5QxgpFxM5aAJMdvQgBWj9sEboMBe3SgnnnLf9EYB7+yyhiLAFh93k9DGvrAffn3i1788DhbIR0UPi+N9P7AdcN8vy15e1ve3hbXN8uws6r0SozlLRsb3vf7fvHlxU45oYknzzxKKvhpGRCmszvbhTdwzSUDmpQ8Cgaj5h5B2oyekw2Qx5QYodNLkV8jQUyslfWv7g3LRlst7tZdK6sWP0kM0bpkE3PPNzXT5ccBJ+Qdx8BYR1mKx2tqs4xoBKDumLcU0Jd2+5gT0UWXbBFDx1xY8TjE2TdBNmalww6ZUYDvKCAB3pIVt1DLaNkWFxQGDT2xsKmbGZWGN+51zLWKaLyp9Tavb7cNdATyQrneSZUAJgtWs7qlvKGgGnMexqFwurhkPWJY8bSisobJStA3d8ozzMonnCPgp41HFlLIX8Udd1eWEsxRMph6fCSDVkn5t7iESQhU2/MLjE5/v/utf/vjw65ELyO3AARzmv648qe7tWPsN198NJ7CYlPXgZBVzUDDS108m4cVIE3trgHU2IVpzDfjLKcp4UnfNCi2ya3TXgVLVJ2nenNDTe1PPfa4wi8A3wuodV6LUFNxtj8kO+u3sw9BcHHU2AbXRLdLyKlopXYejFRSsWDI8W8FlLpW1eCoz/410iWpZSY+rGZPgSVUhJRPMPm50pBlXgtEyBZfADC8uGLuPJruqOGzntPaWqiv5lXG1zMKwyI52KE2+m3iXcy+K07yfJ263FqoYx+/SLbWZndWnncKTiu6N3zUe2fvTcKzn1rvy3d1nV2ZrF/v92vHxrWVpZIOjchlNDWjC1q1y9zLBX70C+y7gwuMXfr7jXz/xP/+v/fnT93tkvWDLI2n48ciz6o7X9fZjXev9x9+Pt78dL687Y8Sz16W7+cKRB2P+FT1fQMftgjmVaxg5EFns+sKpRFQRjfXv7Pa+aPH2uaKJIqT1oZBTN96giUbVdQyGZ3cWnXSo6L86KqkRN9iRXxXleVbmypQmsujam/o6Y1Um/myz3a94Dju9ltWSndsNnM/Svaws9jlJVc1R2ZtGiat8I7ZYmqKuYfVgYy1f22Duqy1omFHm8Kbsuiemhyv6/++V2pGrXkMBBr8KOrxGseKgX+Ksx3N6rGKQ+PzdsxVn+aMyeWLDnH49+asCdK+vrDdV9+qrr1YxWLvLp09NMLLuwZoQjIW25s0GvcOfFNk2HEN2vC/4gyHYB3798p9/7s8/ff/y64Jvz7PmzB6PPBT3+ObXtf/1Pz8Bdz/wN1sH1vLjELjQp1PDb2ShyoOT/BvRg7Wh8nYr+nQ9y0+mHKjoSvpyXZoMwJ0OsaYbNwL6H2N5a1qvNL95ET4oNSbNggma7xeFDisHOhnkre9uhgUhqtNHOaat54tBjfC+e8dbivo+7vGhi3w2e7uVl6ZJhUIYo8C0CNcYuS+FJESToK8RVrnQSIBTlulc1YiouqqMZQDart2WqY5yHl072/NLxd5ZmOx6As2y7lLj/Exc9voluScV3uo4T1Up3kiHYQBwxkqCDuOtXsTpnLW7G4TJLJvbDxi9e7SbWqi+f7ddh3NDJrvVY+zGFg6bCagyD4PZ8l56KCWn1JkmdH7p7vuB6wP7YR/v+PXT//zD//gP//xzX7/w+euxH27Aeay1cIV5LDu/++cvLH9/vO/Pn6f/H+f5GtvYilRDzLHXSC+McTATPZHfJ8/RebVj4/lcqJkHq2tlJi/rBaphqhKvme1rPDxFge6kyywXdtC+AaqItKjhx6yO2Pwd+2CZO09288yousM37CgFKTizKXPmudyV6W0Mi2EjjxCENFv7TpmU4f6gfEfVfMxHAzYY+lacBXTSrMn6dquyhSCKycQVVPWd8BzYPp6NFdtJZ8LTJiTCuOCiaAjViAfaweXm4iJX+jir9AaLtcQB7/hCrEoiNt+kRwLuyKY5UyU7+y49Np0YrIXu+ZMhdnaX/Kkdx0man6NNvb/Lo4t3mOLN32QDNt7fDVNG2VqYji9n8BVLN+fwxCslH2PAXvWCWAXnQkwK3NVeaf31wM+f/v4Lnx/7z3/Zzz/3+z99/7H9p/sH9i+7Hr4fl7/gfF2Pq4a2L/9Y9u+fn3/8x+eHf/v2+/HjH8fLmy9rZDtPu1h30vt4njCO7qC3k0pOzWIg1rFev+lO65dMR2xfKzYSnOxA+Zns3W9tt0+EFphJdABzeynTNKcFE3n0H9KWZClRPbR5/11LwXo/DcWBixYoTV1cOxoUppstx125/DteDM799WveUpyfDjgVVLmrlAVAqjKptnM3NEXZZdsBVRvo0zSl1Hhptul+OdaGOY6jXGG4qU1+WRhsL1/aU0L5np0nIn/5ukPH/Y+CK374JYyQj3WdTQKzItm7LfXIC7tK55qhGkmLDn3eh9IJig0lqem1vjLb/kblS7BEMRA0E5YudweqS09fevsWgPWiZkYBe+Pzw99/+fs7/vzT3//cj5/u7+6f8E/gymUW+4Bv84tTwk934PFhl+/Px3795wMHzh+Hb8MhhBLxjnouGWl9TneIdJQMnbKAIl2h6nhnYYxeZddWnC3u31nb/EF94Als3q+LaUiJwJPnDb9mR/asjc9qHhOYDjHROCeHmou6mdU+w5a+xzG1gpAnzlUdu0FFlNr7bvh1bX34hU1WHN8g3cEYwW8+fZgZir5SxRxbrO5I7QwKq65W5kIKrN3IN1Hl5Goh46o+K3SOk2oXaPGLcuZ0x+OwkaJ44EUXz2Scoq4Gme3rAAwrCZDq7q3lLGre+1UuwYw6l+s2405Z96kuJqm3Zhy5ZXlANo3A/5N7ssEu++dr/faV1PLW/190c8+Z8lq1zji3FXGeKfDMf/35T//jX/7+p//x7/745Z8/9/UO/wA+Abd1LDvWOg3LtsO3L8cFx7bPFyxfy/G//q8/H9fr8bb27wfOW1V/GpXI1WKU6YwycLfDutsOKR9A7VufjnjfmgW9+HOPc/jxT7yxDFBkDQSISjWE/RnPeUDtb9kejdCr7wDRPq6gYC33HavuY17S4y4pfqtyLSp91uCUzo3tNRLAKoENLFsRrq5cpm5q9wu+9EnRffZPEB8eerRRaDBdBZ2T1/odKw02cyxfB7frcO8Re7g5MLf9pSbFQ6CEf4PHURBRd7J9mZmtbRdLG1sKJKK99TdGNSxH2xmSD/ZMzHzPYIcg409sHS81xmdkJUtXxNRA86wFqVYWHz+H62cjJlLKLai1exq/jaXuSZHlH5aDGq6qqNFaXK9vmUD1pgNtwcaAgu70HFzbY9oJN77f2x8P//Onv//hH3/457/v68OvD/in+5UHLBvyQKZzrYdf14Xrca29AByX2cbCOu1l4fBHPD9g6WOXqM35fRwqkuwd2sOwoiUuXLfSGdWiaBvqTGY4nFOQ9kXKtK/UnhlioysvFAuP5cDc2dC0jzCTVrkFQawgbXOQm2p7AkqGlemKHb4s8GukVGz8HvXKXmDbrJuEN3Lb2Jk6TxA2wa0PdrUK141E0ecFioEjqTSL+QtSlUroYjv3MevGMkBtrMvI8w8DtchrPnlQjxTRfnr4woxl4lwS5tscfhGqd+oNrhX7xSkV4V5pQfnFGIx1dMsR6LjotqgudCSiJT0+aEReBdW9jriL5YY43Et/qEOPui4hxwDHxY2nJbGz8aWhytQeNKmLlxNm9WsqbdfI+jgVxJ+MbMSRt0qLoL9BGHo5xeetNMGiuTbA8N5c/H1tvL/7x0///NMff/j16fsTgV+xNj8IWcjH1sz9+txXZG+uqA/YsY6FpboSmTnZ4939dnfh7aKiXWMWp/I7UwbLZGZi5uaDdTFcuY7Ucf3h/IDKk6Zoc+khr6rZU0OUSndqrV35MlexAlp3yGldekSLam+ihnihcTZ9RKqMlYIMH1Cw6uol8IszMBtSuKEKxqCyM6MEFOJ46SBV3PTf8J9eJlDqgPlygI8NrAVvt1S+X+JNnv3/KPu//lhyXUsQWyAjJe2qOufc27d7pmf87u//jfzgB/9sd7v73lNVW1JGcPkBWAAYUnk8WbukVGYEg8SfBRAAybLzpWoGDLMVULZy+hkSHvP0Ba6KtTsl2srjpW+svDPhonRPXQNisthC/TXktK4iJLeh65QCSMUFXs79LJ/MAlfmPNJK4ogI5yfw1SP/4nVL7DSlyVEhO9Jf0VePG0ZN8T3Sf39W3qarqhKyMOKv7+1Guz4rCif9aDBbF//8D5z/5PkHr3ec7+vzY9GGU20tgpgcAK617Apz9Py8rrWO5zFeMIk5x5yY88uc3kQ9yzEEh+Jb/7eancqiK7Z9EIXA1ghPhT0EZ41uvdTRpWt8x9/OCSvg2Lirb0sJvzbE24ctAAsJDQEb4bSZADPtg54WUCmxqSZclwM0mnZpHP4rAnijYUYEj/o4/3oMStN5019rpbnS/DIjK4lm3dq0rrcyutt13ukBg63V1N+XgIGjy7OG4946bgMSlQXyFqY7pW7pDK00TxlebXYyjtRs3c3VOKwutJFtV9/+7KPunbTexkaYZFkgZTNQMGLRqoMHNm2Q+HYDE/c126iWtp5mQmgX2XQjIbze+vwldqLZhRVq29YVpm3phWjItFI+oB3463fJFJeA6d1ati4+P7me4AmePE8+n2vN5DNAjIV1CS8IP+hpAc+T87K1dEjdLBEp4mb9mvVuxzv6cvIScuvd7LKfSBxzGkr4INUrFzTOcWkCLNORH9wqHduVd74gTFBNDdqVlprwRYDtq1lksqNdZBp3uzgJtVuhEJGyRj4SJG3Niv4RKWY5G+U0ZpuVKjXhHPNwYwYESMJbgP82zl2a5de2/A3EWYt0RmGTfBlNThghRw3ViSRMrz20Gbms+IvIe5NW2DGmRfLkEiREEPKaq299DnAfYf8z4x3Y6nvSaRLVrTrUj2m1W4MJHH2cwb0mwTgEOp2raqML4x6AY7q2qWhtlGUocqsrU0idOW2O+YsRS7S0Ghu2Xyaakj2uuXkZG2k1nMIEY3dKuglaWBevJ54f5Cfx5Lp4nfx4ci3CDxCgGXnRQwoSqTn8hNjPk8dlx4Ux4LtF2gCMyzqtk6tFytU7k8VyImLbs9H/WfYZWVfhAs7Gi5UPTJ8sc7lczQBbaK4ZgOFHzaUZ2jTUpS4X7jkLK4HAyHxtJk7fMtP2KYx/BQFfHlkX9vY3y5SwBAFG0TyggiBjY1h0G3HrZeBXeWoODdED0lQspu+TYdbBKxoerT/qe+9wzcgkGW2lgbyiKwqDlvZcKPtRuqHZDG0xhxhNDdeYKgT1+fVephneVYsIZvg8XHdaZDRd3MqqpCOyvblXYPQ9/vscEBn2pdXAO4mz3TSaVngXDR0mu5DIc5Ml6LYuc4QWRkiRMkdryTyA5ss9tnbZxrzD+DeP5v+P74IiG4rdfIr7AzJLTem+U+7EOvl8Lj/996JX6RNryaLHg66lMzUM8PWU13r/84kH8DYeb7+8/rAfP2Zscqtu/XUChiXD6Czyh6F2vmqtGRHb7zqaYz9f2pK8K/QyQ2ZBA4GK3Rdg4nZKYHsNgyZ8CviPL9kbNgXqSnJvkZ7QuAWpy8QQN7b6L2fWQHAw4KArjW1khw4cYpuJV8dS7b6O2EWZjIqyJRjzCWSrrozZXOGsRL+33kwWUf5cZzWUm7pPwgJBmkA3PrrtQfdniYbq3CkCQDPrhIDuIRsArTdMC7Jyt0NaRvO/I17mElpjjeAlFF/TfobuV+IulN6AZzw6fvnnh9T5y/MStBrYdE0pl7W/aaMJUVcVkLXW/fbCtC6wSZF+Sd4F9Ja26Gj2EPoKO3yU2HSgr/Fc5xqXbEHYcw5gKijv00bZUyPBxUWeODnmeODxao+HHQ8bO+g0htxqPyPIuu3DZb1T2UtDut0y/EUrk0+g2pGArNIuQNnwIIGWclizkgU9372sBLyE8dafEqcSn7q+fYgM0xYt9Jf7n51o8E7S0U+wvwluizSytv9LKuuxNRa/3SwQteaZlGWh/mythGIoZdnYk865aTDp5mbDRKX/brZD6xS+4k9Z0ZJb5pAlXybyWynCPUaFtMYFAcLY+gFoywb3LiVzjXZVyHKjqz6olPH+rQSyfWbddIGsIWaGpD/83hqOTi5q2vpl6EGvfFLC1lpcK6Zjbt05oWNngGFoe2ndlJqpAwIrlj2Nu8q3bfRKNssrQArXzex9C47AbYw2DUY835/HOX256Rz2MseUGXaH+lq46hQLcq3rXBfOc57z18ePf335298fv/w63l5qG2W26WtmJnsyMiamkrgMx5umh6FNg2Y203jmkhSTSPQiGD1uj14TNF6AwYZvfkAzGwudXKJ6sxOFQLuo7mhsozZQYW/sr19sb5i/KKoFlR2/4P232OWtZhYEktzpbJHbXsn37IpeQxjol+/71iNdfGXuLAwy3JOtiHHhF9LalPkIyOBXxRLpYtz7pNh37ZMK+BbYQYbWy5afhIE23JnIyeXu8VhVm1WUwsJct0ofEbHP31PXbi5vXt51Lb62/CaH+fVVwJWsVrIyxbCDwi27eajdMNuF6ruCrKQa4YeXLoVI14W1wEVbBsAWbHAM7bvWZs7NK4g/m0VJLgRR2Tre7gNFLGtgoCBbSe2mdwtpKIMoqaRmGOQABudYwyXFQHCBD8B3Lr/IwGvgQm0GOaY9jvnrf/nxj//8+rd/fbz+Mh6v5mu8e9CDsUNtBQLSvOSOwKk2GrjrawZ1AcPVeePUsrLBnelmXNsZuCKKWbcKXKRO60kQrAUE6bwQvhUVc2ULIQvDkiCDjazlSe/A+h1Nv2O8Dcn2oJ6lfCSAeehE24zF/a2n3sjah21I7XTC+jjDAlr0zWDhDYtZRGQbc3tijvjVepmjyvcIRMzEX4JbyG0F2HIAxVfzk3VEzxBXITyrs8nSxJfyBSyDxkoGSR3I4ogAqFCsNiC7kvdxfeNMsNWEJnc7lb5cjMwfP1L5eseLd5sR6ypSptLCEqhDACxKyLm11V7p2dSczup+T/quRY+I+37QRsW/TIdI9AWyRfj2JnE9bGIb6ZfEZ+IA95EkYxATJEv6IeG9JI35NJjXdPE4YCdshXXuU6IICS8ROBevDRyP8bd/HL/+7fjx2zxezE8eSGFq0mspS4LR6BR0WqYZlgEGxlaZtFRjv26lhEJ+mjfIqFMPiWPqZw+MChyTJLsm3kxGtCSyE31SVDaFVhwLsJCZSUo3MGycaw+M5uTuRMcbOqU+Cl9NU5lEhC6pSl9Er6zP6y3Tj24oistCm8yZqYEMwdiNbmwf5Q1d39oorT7c8iayHykaOUYd7pZlV+r2LcTS8opq2Po3m/ax+dgbTfJiSe6mdzdb6P1sjpfl+Gu0DIj2yf/2vIZjad3CgjVq5aOEOiV29dKOCkz5bujYGLaJnNWsAQQu48X1xHWRy4aOoTyAXr5x79hff5q7hxblQrC53dBgMEbJL2Cco/vymBqRYR443vDjXyd/Dn6Mp61FPj/XXMcAbOFcuBYveQkDsOH5R3v91f7r/zJ/+8/j138Zr7/a8QCsKonSwphOHZFFTLXJsGOAhJ/LSlPGVprQFTUmml2uaFlt0JW8iw2+SAcEh9sFegWHO51HbNcMlKB02kZ2qcdj/wIlv3SkfxEGRrSiO0FjCIgRTG/eCJRZcu3aHlAQZqUiXLH0fvMDDCBW2enWhPrEC4DyfCl82UIb3Rar3fFbmNw8k3SGWLzIRGRTdqIBMliY2MkuyN9htx3meeN2j+Mh4o0av8aZbvWoM3TjYGKgPWinRa5MxNbvm44yOfGXUvHlRr/liMUL6arKDvqoKgfUupgisskJsS4ukpfBgGVcUFT1Zp+aXXaO2Zd+u3i6NV2yP7IShWRp5fIj0/obS1FJu9yo5sXBkK4f9nidf/+3x/mHXe9YxEl8PM0+fBtrLHItXNeK1RwDNjEPGwdf3/DLP8avfz9++dtUOYVTTy5vpV8rtfA15BiMZGllxF0GDLmerUi3ZTmlcPlOAL3RtWZmqZgt3dEtY3pABVObbbjZENSN7WwkPSF7tCUt8p7mrzZh38cWASjbB9R9nLAEoWNQ1qE6uUXuWi50U5qynbz93YZi5lVAjXJJPKvRhmBbsROxEeJXKgACU0vbA5aACu4KbDnk7taA1p4MKPyyFCY0/6+EserDVpCNrIe1Cr5kYk11mUagNPSWAtHoCzVvGY2c0jY2+AA0nhpXMicWjdnh4L3yruUeA7GwWBHyEUhWcwUz+CbfSxnYRV4XMGDLsh4n8Sv4YZ0TgIeUq5Zpcy3akJMMMJ3HvI1WcRwGjUV2axns3hIDLHw8Y47Hm/3jv7x+vF3PP9e6cNI+Ps0u42W4fMrMddEG5gSG2bT5sOOx3t7w67/OX/8xf/ztGMfKjBONUUsjlN4MujiXJlVZ3BbSd/EBOVyCCVbVQ7MJIVNSmyyhS0HbhSOttW2moxn3kknpbRCRi5muyq3sqzyxhfoCpDdhrbxGPjbm0Lk27y7LzZ2SbwlH2JpnbuGlNp4WMIsxJbkMAFeV2KePpWMo4rZUGMpZVehfVlIfldfYgK33iVGbdpugbf3LJosl+SZj6xTf0umKDCyzzLCeYRWBdxIJR4qMQMZCG0SCbPRSW2gBRJjlVhtpgDWc7HnifzxQHW9OSeO4YqvcyNBFrB7h/TA7KJUpZnthwRU645hlcbBF9tbMMAbWoG9FxMmxbBltxsKOLEcYCUZWQm2I81bVWDepLGx3gclAaOBpeNbWidVJVoEMwLA0m6WUkYStOJ1lDAxbLy/2X/7Xx/W343xf/z7x43W8jPH7hfMDCxwDl+Fa1zAzDDwe4w0vv+DX3/C3fxv/+f/y63xZNlea917J4eWIt1ldcmykf24AMIdGjJggRJh1KP91AcRQmaWLBcHa1yCfMazKeOq71RiwXx93tVuKmC4V3cD0eJIapCV6JsGXAsqlCvg/+WrZhW69888ieXRqIOdeWywbJGlY7ppfsQFSaLWVvjf4cSbouWtDrhzMkIB7HZ8gRrpC7YkWqFDhHseDTYRZgl16q8Hm8J2knqbyUWzr8FtrMo3xmrJbObdBUorpH+iblo3OAxxlLAX8zeLtj9IfkvwucaxfaKT6K6FMs9MaUFzmIDTlyZvdBbuWMlC+B+qNPCaumw0OYkwM2li+87INMwey2sTOwksmlhDLIkSkdtO9353kjAhu3dzKjTpqiPHWiFWib6J17g9LADaMLw/jD1xjfP46n594/wUfj4WL57J5GInHwzBo85yv8/FmL7/ZL/8yfvmXebyaTYNlBXgORSR3/dorIoHwEXs4xtMSHgCTfkU4THLP1kBj58hyDCS83yaSGnlT6n1uxtvv3l5ew+23VfVATx58uX7/QlOlkuMIwBd2yNNohrqMMMXvhJdMj4n7TNo7k8OhytxeTBGyX1+DGdsIqv89NL15ETnPMHVI8KIxCevZs4FfuYTiDySwguDtopyyVQTectBCoAwDbiARdSAUXrVSJT3TJEfU7dphJXzPyqGh6k2QoQT25moOdpOSYIu1p4oy22B9bhW+W8V5DYdCNu1yP0XxXAtcsS7YjtmUDsY8YXgQhzc4j0EsTMMYmNPmgTExPXKUDiQiPd9wJiWrWcAAANmz5mCKaFF+s4l1YxGSjIbly2R9CsbABwJrcQyHaZjh5QGMwcPOv13XiecHfr6tKC8yezxsPsa5PheeP36dP/42//Zvx7/8b4/f/uUYjxWVopCm6ODCjQ3pTXR12SPPZoBxaHObOB7uGqN5EikceavDHm8ovts1f7Afzpe1ajbE1TvIbN1OW6pYTvoEWRtlWIxgfht4c9vqR07ykTPmlZifJh6S5zaoOrHyq512g/gVDcJa+Xta2zaoAAVpZ5uJ0+1N4SyJWh2rWFdsgt4fjHTBsk03TKGJt/7nrdu3rGAubpcIIgvI0XWZWDJXA3BXXT2nl9REF8NoROdM9StIR9W1WBQrt2RD71LrPqzCVYsu79P+PfaowB9Um1OEryGWrSWP1T4xYIAXjOTJ9Rx42rIxXs0eGP1Q13B0h2oWhnHwZdghCPOY0RiWJVSUtx11Ay3mkHzYjRpur5qjZZtln4K2ndHf2n+I5LlhmCOhrPiC4fhlvp54e2L+8hxcc9oxAMOPeYxh4zj+5T8/Xn+bv/xj/ON/eXn9daroSzuMam5SYQs0o9J50AukNCQIm61ks6sUNvG3Msa2j/VrsgCGFNp63Fcs0BfWHF2XfLOmUN19k0ObcFdVpkGJang52Ol4g/rOIZGVPdq691eR8O48fH/F9spLcjK4HRmL1kKFbduyZdGdhcGyjtbE2o1mJmES5lwwRrmPt779FUvSy4yGpAtNxuUvSQhlZcKXSiNE1BZS4YlRY2rJB5esWKS1OGBjFIVd7bblaAlQQTpLsAYQ+2PkM3Xo3m2e+5UciYsl4oZO5OO7W0NNLvAcNOPRobCi0tFfP7VhwA6AKwoOPFLmE0ncbXPczvszQWLcWcgUZva/JYplMVOU6XkgK/v7VawF62RVBpnKSscD881efh2PH1g0e9g8YBPzdczDHi/z7//6eP3F3v4+3n6bj7cRMYscYXN0g2bYy0VLFxoKJEko3WA0Ks/Or0sQCgkw02WV8hNCdpugeRZVpmPZTvn8umGLvsblkp+crsmAiby2f57CS11kEmLvbAr7jYfRWsYT7BsG6sHEHblMNKyIXCNrpe5ruP1n70QLTyNAi9DuH6aAq2aoea+iIBqX5ZD1IFejxnuDdhXRWMT3ZIhYnuBQGtE0shqswahGJ9rkom8b5l4YQU2241aKVJlBCCIyCit8s+t0l5LiBjLKgpwoxRfRSt3MSvQviNRYuKuIIYOJqEYDwnSliVo2OI4Mc65mp3oD+m2Ar/EYiOpWAxQLq1dhURlC3F9KLmyPIm0zWqm/e+vZrQo4uvKMK7+uon+/QrSTYTZgYLzgAfsx7R//+/H5Tl4238Z82PHDjoc9Hvj1l/F4Ga+/jPHIKgrxTCRsj7jnjP//eI3YqExrtdOtuamVHidr/w01bg2HNcj4gS0F3Db86Ddb3Ygy9neb9OW29pImxKOloRag1qc+FcdxrRr3Z8R13P76lrzWN2Brsmid9zt+Vavcniv78+U6+6Z7BMiavEK4j3hspVOr/T24sDVm8qO06SKxabK6UWVh+SwcqUpB42t55RN4kVqDFQEAA2ZmE/Lp8Zu+B0rIoPkeLdYRVyavxsAv/fw/frH9VEMpiPSiPF1iAHBos8z2BTmAw+wVGIQBD1hmDzNNElgqZPVwsm/ORsDMWJnIVfClryluRtdGpHsqWzOaePT54WrMJptspMWqbgIw47pipqVixAQYAliKURKgb0B+4ABezf72b/P6JJc93uZ8jPFqc3BMvrzYPDAObjAdJk2PtSogD8020e0m9PblL5VbSPVrWlYaJ+HbJoxB/h4X1w3yCBqc9xtptfZIWfZgbX82NRI9iullgENbJ/cRiulVn5mfO+zTah85loEKk5sGFKw+c3/EXXFCGAoYDZBrvCdCrHfH2lz1C55vo7H+p7VHJp3yY4NlGHZrN7Vf8ijjnhJiln+ZQu7O3OJE9t6Koa2campCQHAZyevC8rU0KtR28Y9o64oOj8oGhUNLYOWurqSZDVXv+JhL4dLWfoHlLaXAjHHnVj6yjayfZaX/wkYf/XhDihYADjPz001oU9tghkfRmq47TcUO0TT94iDmbcFxGNotV5K4EnDey1vyOSJXQVu5502ympSCljtz56wyTP8WSnDjFoWx04Bhv/7LXCdBe3k75jHGw6ntLqp5gT4EpOTGCqlLL5JPhKinbonW7rXWbg0Zq2Bilsns9cEWNumzWsEtmQhLsaOe9633RCanlI4Nh+N6srBWT66dqXcUs4392VtlwRLnG8iJjvtkpY0xiFS8TmAH6p7khOukdf1vpMVmJnuLABQiYrVUA0zcTx5nrwMGLMCHmwHroV/RS5yNMQhS2Z8OhT7ECRXy1MhLizRu56SD11q8fLuC5UVFZGTYIoRviFXlnlxydTxJd9nhEqj9ktRTVETjbgiqqy1omw5lVd8lXRWFtaS8N7P5dLqhxcKKFZ5wsGH2QB3piCEvRsqQfY2J+haxblKcAwyrY+ZBfWqBh9+S05l030qwemvGPD+D1jjbXyzA77N2GY0NxsPS5+4H9EAeBn/9lwlY+GnGodxEBkd9VewFXy/ddhTk8so5u/XLvjz/BkOSPobpo3siMXDjiBMRx8bzug8V7AmbA0l3RGgT/HY0wJ4NdIPLsDe37nXY7UOL56790/ultzZZcp8v9ntJee0bXOoKDRSAy2iFiUxbbcrr3/OOjWpfu/idtjRbm/bnS5++ayfq/67NbLWbNmnsTQpjyfTEnUejGojWNKQ2uYlqVtKnjeSF64nrAi+fd2o/ulEUN7MRLovBOMwwSPjGpG6n6fWMK2afeqrmyN7WigJg7yqw1WrWUFlvC+BElT1cpMzpTWWOysTr9kQHUzuBhsEvWcXka8PSXBuxl3HU5emjNO2TO2Zfo2A7f7cPVSZYgbqQLEpJEj5u8c5KEPWSF6Fwaashdrep/ebZdQAC2BXbPTb6snljCd453nqCPtWFG8SqTJQWRaoGrSfwMBIzqyPau2epKCY0AYnhFPmMLbDS4QSWLO67pauNFENFszOum3zpI+2uzR584oaMUFJBht0SvrkLctnsQukQ2z4K76vFY+9jVG+2iUkb2m4S6/Gsr8QlbqPPb7jd7pH9eqR/u1q+Ii7dgLGu7O0XeQ3J26CXYgGGOBgv5GfB15asC8tPRA08NIrNoZMxjUylKqaZoS1EioKMq9Weub0Yufdv9CysqiEVT9yI+1IZQwF30xownGkHP95EWgVQdWExcvNlaC6cIzWWZhhWoZ7CiQS6fOSNmZab8DkP8/JKK3O/u8n5nhLJVn1Mgk/xUKLqaLKHpwtvy6jpryB3D0yaYQFjWB/nBi16F5rOWoyVyOHic6dPVBSidPYLnnmvCP1UJMJFaAZhtslXmd17PWBXy1Z5sWr3xGRrV3Fl02qiN1zfpBhBdCrc3jpvLWxwq5PRbC6+6LakUaTNHajKZwmuT3gS6KWvJgeymXoppMmahNxkV2NVXXGz8a+Nsio4c3UONpHaQ9Yb/VEdBjCMLXgrDDL2fI8SLSktX9qtghhZ8RhlcDG0W6ss1kUu8ORaXCd4cV1KL7qciww00LfHGw0jvGUzs2WGSQVL3CXiillaTNJid26lNTlk9ZgefSpIG1Rw0wBTnIhJZRjCs2dyPaKltJhIOoKnUqi8WLjmMh8DpRboS286/+RvbIpkTdx0TbuqNOVr5QXNaOSSddHIdk98a74Fyr5y3+U5kgetAYaEjzSykTdm9i6xu9JklJfkws2BoToZOQB5lWnCk+JZlqNTkcuTWQ5ebJEeq3B6BdDatnvqeY5Vc9qkQUXhM82XSCOQQGcokzr5+eq7Ln/7KhNksjV2a9OMY/C6nK6WOclelgJwMcqQAQLjVkHk4r6FD7PLigFKp+Utq+pEZu+ON0kw3j+O30mvnELeLcZd9vYWttBn2tEwoF+e/qUXrWorbQtayZLdr73Oa3ny8SRXHCoIRggHidUp2EjB2Z1awujBFk5G56kzE9yT8ejyyFyQpiHMcpTMObDUl6znpxQ309Msuw96yI4qMHrIW99VYIeb9mKGoJIEkv2t8OFLcCphN11F4WvxqqIiW9SWmrIM3ROPpLUuppPbsyNoyC2vJ6y8+9AolE7xCNkW1rIy4gyBE9Ma1gIKnaYgFgj688PcNtRSeU0jhKMpkTuI4EspdA7yBjqlEdnZxtEQKAsgj7/0wHCLhHE5uIwUJ1SmE2yBRsW/fJeOd8LE5jrEt0bG6gOfwgheJCoNZC1yO21OKUrWCmCi2JgTGBWT5gqjNpT2KxMR4kK/KOlfUO8SVBRP7862jkeEWOohrZTNZMZOVCYkX571HikikZgUxS3HCiDEJJgW6MBrkQtYXEun7IhQZgFWElR8/5I43Axc9cTURfnLlrqdoTKGx5RPr79K5KNZH+0wDrjD0Ty2Anrms4+QJshe9tfNqAihAjji5GHbdLnfC8DMrrAT4mqv6LXMcG6GR+Dm2+x8Zxd1sX2ByrizG75ktpsKTFjuUVD2IKZvuaOe2vKoQRUYbc/LzWxj6+MJoUHTq2h9Mykma6PZAAD5G2mYrA2xEznPhcqy8EbDIqbwqFG2no7Er1UXmIgK1NakfsECPUtVj8FX2m8iYzmiMvYG4Lr8WQOLkaXX/miW7Au5pn/Ftkl0MDKDNZAq6qmm49NZGVljD1Vq+N+8UkZFqb5Zhq5h1Kxv494a2Bq0wtvRFjjBk1oAGDmarS2lI+vxm5LkJeIa+qW4Ll4Xzyfg9RO5O/yCbzVu3Xo6m+oUcfW7REqqahGE9buUZ9psM4DYtDnhJrE+DQltEbHOL88w8zmtNok4DBN2qeQmApEDGQN27DhCPcJSxEqbCo1nMjksiUx16I1kOsC2DhVj/hp6G/Ql8mg2AC1C3IyOARVmYydOxlGg1tAsPbNF8biVXBgKQ2KBJ1cbj0+WPYVszAyuU2KIx3lsTDlY2rkIMlmMctENWjq2tCldhqSCCNbMGAEd5xrGu2BGg+8ZgKRgEr/jOMOWbLjjhj3dBMIietHO7W5GUmMspKvHQcCRbxe4eD5d501JDx0fl+ZhwKaNAG7GBgGArVURTcMybUDhnV3JoDYfdLMwtn6nZwN5IRbwXevum4llEVTj6vJGkPSO1TR/y/zDGLkXJbN04QCW2VC5MuVjb9bFCVNwC5aaKXBJcKJBOovfBtLOxfXkurietKXdSVhn4nq0KvGPkLOzLCZlrFScnlIBMoNZ6jXNuRPXLdkij8pYFGKw65Ml+oHkWowVIwsctCmPckwf0uaP60ei65EQ1DmVAnsjbrVhMaSiHvLzbdT1d0eErlq7SumqbNo9cdG7zXityBHiGt9oBYhrDIUmCaxO9wqkhBQkjsaUJUpz+wBzFl3A3QdgfRDEZucltIAgPCB1vyb+5fcA2jFgltRL5Euq9gwW6sNs2nUujauP1h8UVNDkQk+O73LKSuRky74ZIaJFxwu3rrxwfhILuOhWN49cyBkWzOzgMOOigWPE0rQZqLoVy7JYtctN4kFpcoj/Buu6GFCuvzOoyWOK+c2/CJqTMilJu0bmPplP/Iz/Q5lDrOIx5bj3OEtTWsWcmjI321ij9kvX5flHIoJfmrq246HTRougEbxIsu0xTO9JaJFZq+kMwxcKGPbcrYRub+GUFKzEZ4TUMFI8RKQGiKFsdE7sJXjVNA63eCs/yGaLOWn1Ufn1sP7iWxK7UX0fesFN40FnRfXrq/cVmkz4gaSbct+uNWYuBq07Zu0BHkKuU607SYqRWEZbGW+wBqs5WJvYYiwElnlJjJt4S4+DnZLOq5tmAGieVPMf4dv7NoeriGLt7k5WAWFdQhjKWma9f+SM023UyyMRC/B9M6w+//Lax7F888sT1yfPJ95/B0/Y6WPjgh9NCPM1VMB5njZsvA7P5R8Tx4HjwOsbDBhT2mxpAvRYR8MR+CVObh3zzjOEtTg1WrKj4bzuU5UgR8puYYTvvS3bCEC7fsKwyHqOGjVN+LWbGAYGsYhpjT1N3NcAYaqFT4buimb9O4vM9UUurifWSV6wM+LuTNHqiJoiZFhDEu4bhqnsMy+29ncXrIr3DrXaerlcbfU0S/IKbYcuuC5yrQV6LZoNi6V7vWZq4228Dlm0phDhMDRI6vdIBYVfG8NuWtnJkLcH8cV0CWd8mGi+kxAw32tFRjElKgPKWRKT1QrFMUegxIcE4ZrGuWWI/i8LuzAIi/2GNOVtim5lwNrIFXTZ0LzRpQcOv7pOcUFOyYcZlaH5QmH1ZYuGIqEupdU7eTcvlq31SUPKgyEJZJvH0meQ1p8SlFhYF88PPN95fuDjD+ACLkl+1Pua0RxGr08juf48x2E2bb0YXwwv9vIQK117+047epaPPawjw1C0iWMMpVqRmDS6W/3RVVYjZeV22Aj1RdA32LKgqnocEvElNq0kikTYSW5mIyQQ2fEt3lw9iL6ZB0GwuDyp7REm872DI86LtI+FgSbTZQ2bxPi6pj5vwyyVa3yJhEWM12m/QaETJ5e+Dg7EJkmLZliwIbqry6Vb5TsWhO2fuKjXElUNEXJi5LlQI6jsTTVLg/y1nIdszKwwfHYy9SL9IjYM3mgY7C8Wol4FlH0y5gNP78zoR7xb4E2r7lDCDQtrAVOW08Ottj/ZtAd2z1ao9MdivxzLut30Jr6x+/7pNz7Ygg1TNVZBP+rI+/5w559QNUXVVbfels6IU2pBuqEZzlAyjxH76dKqNipdQxBcXCc+f/LzDz7f+fEHsDRLNQ7DPIZN8+Fea63Tzo/1+ec5XsY4bL0ZfhnGsX5oexevBIeW7KJP35k44AGdpJTI3GjNYp2DAjVFqXlgbtGptE7OHNKEmI1GCuQEveBGvzqbI5adkW9tAFtA7Ny3wTFsjMjXOnBrq1021Uk+uGwT5PJtKJjHVkQIbCWEB/uXL6GLrKT8nfin/KSVP7VNzIrG35m9kGRApjR/AV4P4CWw7jRm3Jlmc5DEIIsoALmY54QawL5EGiBw3E2zCwjLMqfKap3ApoMIYC34zg4U0md/vjFedeXWLzUFfjN1yS7JWujztCRpspzcse1PCPveewtRZgAaF9cy3/fRw45Vo29KHQj3ligLyeV3g2vveGP+10H7qEJS+6ngPYzSmzfb6Ix8ynd9SdJtuqz+16N4v+WK2dPdLg4IQwYGbYE8cX3y4w/8+T/O99/XOg93b+dhc+CYwIEhizLMLqzrXD//4xwPmy8GPMbkGFiXmS+nusABGxHkHvfRxhCqxladH6LDShulG1YpdBF/A2Z/15bABYky7pWX9jfSVp8tdjICcbaGM3QYPSsX36p0kwCWO1EVhctV4rYPPBjgz7qAi7YWclNyw1IunasYTcSxQ8swZuN6GHsPpQNfcj8FcxuNmv6yYnnbXdG+Qf+FufBmdOas66G8zzwEvZseRnS/SehBBQNh9XkPMvccYDTUZSFdEGMf8g3FZMEtzV0bGuQduCNi8Yi0oWkJsGUbkfJqX0FBtWTtE12hKGyjykYkALsbKqPPBmBK2vgTRgtvS95dmBmWBy16Ci0tEDkL/8snCjUwFV/othryRuIMrhZ7SvHSAu6Ur4q3r7HM7GslJpX3bekx268O07fIE9eTzw8838mLGBFb4TSzrJUxM9g084rw6ccQO/eN5FoWociIAqr2p5sq79AmDmkF6iNr/OmY08VDIlDp7Uze1DME4g33UNxrQVqY3WRVZGy7B5uop1xtNZm5b0Sa6kusUsOzxk558W5RkhZUoCHHY7Q8LbxFKbLZ9kGMV27KRmzdeB/ovaStUQV1G4V4UQjh1K15Xi32rs60ebj/Nhwhd02NzTKz09KIjfM9HFMcNiBL99EQA9SceOOA1WX7m/YKjlx1Juj3122k0gwykVehoZBiWnMaraIbHUjac4IA5KBhZRkW0NM7owbmflyg0QJMJ+0lfnyRw/7YcuER/k9zNK10KMmQRyF238BQw2/EaehjWyPVBe9B5puokXaD07rD7W6HnuvE+cTzHc93Pt+xzoVhmMbFcQBRKmg2MA+zw/BY822+/n2MCZuwF2D4+fDgMp84WMw770F7ZdyL/Zan8AX2UT0dUejGRDlgH8Hm41CS3pjGRu2db81shPqhpKtTt5/jWHZBGF0glvPAvWsSpA0ZXKqXVkEjorcezmAa8h2CRkRHlNfIGIHsyC1ugi4DJjkVETNalDs5b9TtiBGugCUgZXwMbt6s1jK2pjZT0hwXHFUB0AeHFgRQJzvXmG7yzdQUQ1z7SlBsu6B91BrwoGTeUgIrI7JjfvdYgmcsusr26tMkxPcTgX2cQdIBDIwJ3xvJFWatIH9MKQx2aK7LII1iz0bCq4iAHfqjZ+oBo1/xXwuz5+k4CJQAGMcClfClSJnCW06+PN9bOH7Sp1VNqk1p0wDNsnqbnuocqZxImcjE5IyBNq61zpPn51qnF1WARkyuZXbgIsD1eNg0GAYGxmNM8uVaPm30vTbllTDSf5FoJhBzMJgNSQk0b1NyzAGP5eD6mHKpvN+jpNtSQsipFfk70HdbNlfL1JBVWZ8WB7ZM+4k2umQ3/5uFsJx2pW8XlUCGHH+DDUqkvPkZpdRgTBet4EDt7/JtiMJR3x1+OIwpECbwCpFRz02sTh/PYpJD2FJP8yLUHEb9SCGB35VdDdkPsCS2Q7C5tP9TV9qaeqvhfeNp78rIEehjQlO4smDB03wC1YNw6xKAd32wmn59hY8+bOrJ+lJhoNBig/hRd1t0RJjmKpclwYkL+/PyuTdHxq3ZgI5iknS7DshkftndYvf4GUWCaWcaVSNxCiUVoGUqW3KjvS2tKe2JpIRJN/vsrj/TVFGsPFcYGKtLAGqdQWdNRbyTh2k2QpTZrlzLfSjHEFsX81ZbpOExMAx2wgbtghnGxPFwtKXOaHAEClIbS1EcAtq0vFvIbaYfX1snhjw50S4Iv8etS0K7BU73vuG/nrCzNgUjSNz9vi0xnNigMUvG1UbwQn/XrxQzhc+M0AkQMFTswlIFu0gbhmEMswHmKWLh/MeDN3Vofc5etDO/d17ciCECJn6lNa/Yxga9QZf6m2GkE0NDQIxg2y+MaUwzhJzGxhrl0nnw679sVIBm6NTr24D+6tWw635HCGVmQ6Tc2yy+bBky9OTH31W5Idu1uEEyYb6OXZ6PHbn0O43r5sHE79VCL9bzDzGVXWk8243Vgco2dWX7+tLw+ictkrbdreVBeb17UcpSMW41gFaICW2KO4TXbP0tE90ULHtGnBeeF55PnCcJjIn5AH8HCHil5cA67cSI0M66eNmcGLBxiICyf8uwzDfdbNvWOizIr9RBy3SvuCYmNyNpwtxN4wr2hDM+eFNoKmwLs6qL8DOg/L69Kfbf29OTUArREzGEJvIdMXbbHrZzf9oo7YxDtljsl39qw8CW4oNhPGB+GKoWAMXPEaAVVjjjF05ifieY1gQsKb1QytevpawJ272l7N/IvCl/tT1IwgdBy7EF3GRdfSlEET1bzPsZ2s9VGyYVCKb5sETMDZ5uKMXG/fpU08bOgLSVcTGpQHF+1Q10pUduiRLK8G5y4fYhd6hNIbMUNtLA0e5KkWyPtGF+RqkNyjn/4oW5auznpo0Ws919BedDm3jCOi8hZ06QFJ/KFTcdA6bZVbf0kJVLFbAKGDW7KldBsmyZewmPCevE5zvPT64TBgw/iG/4BglWOafLeGGdDGNjQ0QTHukhNC6jRxpHUsQUJdzEhTkNyC4GzNYG6FwOUEI6jTC9A/3dwIfNZpmQLfTLP2vYmkkkk+bIRzeiLQiQMMiabOEYSbsshsYKiVtuYEdlHGNqrTA2lBX1E2CH/DF3eG148WhgFiXqXezV7SCxvENtnSUO7CcbNN1lfVKRma72TZTT0bFbtL7FdBKdCo0kD0dGBqJj3EE0aZ72trFxtxatb4LVHojOkJRMqERHHdoEsmS5Wg3YJGYf+m6xQPkR4kA+fbvK2ic5Q/OBioVVCibtBjL7u6PwBoTG2JdQ+BXy2mKWGgilhhKMRJF79YR9Q+y7ox8q1actWul46YKWapU+MGiQPYDAMLORu8SFwIWbEs1xLVwnPt/X9cl1YgBjOIQxNthbESXk4iKuy7ehgx1x7HvNYIfHWwLFgmiaHdX4XZha/LSxpFE19TrloCGI5bs2Rut/RUQ8I5+5xDv10zZV//rqTm4zBMVi+bvZtXifJfJ1alJAWDyTIuzXZ3pvhyNVHPZuZjZoA2PE1pkSGjXcTIK680XDbnLnAmO71dWV+ae1z7Fd2+VLap64YZ26APr66qB/m0hml5dYmNKeE0sf8pBrJLuk8OSNEWIHTXMYEHnkTyPCN1HHvvF7teHXeTDbp4i5edBX2nzzUu8idNgPO4QBHHmgvEc5YwOBROdlGdjNuC3CD0HSybRoIh+ZumcJ14lggJlmATVTLsy65+YlLCXs+4iXOEZA2xUTWFiMwsGgm0DDR2Q1takp5AbUjYjB9tA9ksR18nzn9Tuff1zXJwfGY8Iedrysa2BdNNgYdjxwvNl4xZwY03XJAuyM8gjMpjYIc8Urj7jxUepEpZ6xe2aKS8eV2KiaYykKluw0NZFGZTB2C2bFa1h3GQoad0CtdXx9IF12s2UFBKOBrMre9mQXfqU4WCOAT3tDtGSTjGP6gbi1I4s3NmZaXDM0CiSVnBAZJLnB8kZc/MUH/ydfObe+NVS7lBginC8OBZs117DGLrOd9YidsaP9nENKXuL4YB+5L3FQrEIttfDdFo4RUd05To3Ne0wzK8dQxerLovbxliOxTV/Di2ClQC0Aiyb+5hywUbE1175b+QgNJurgdt/AWjlH/pJipvBUw4nsPbXsar5EO2sP0MhDLVUn1GbiSfP0aLxQRIRFxipuGm/1TdHXeUvVA19YF9e5sOCbr3NiLsxZFJ7TjgeOFxuvNmyNQRsqR59STrPhH3rIWYywkWjU+1AVFEXPkRQPOS8RQUpywkC2ZabsRPsMkYBkca/PLeqd3635vZ68XZW87W5ZvvK43eZqWhKdCXwh/YlfZtSmaIiyqoimUN+ivK3C1gwYG8wXgxpsCDZE3iZhGUrUBYl14kvN9SGhyqwRUwXzOz2G6vydrNF4htOt7EnBxaGpho8lJgem3UBaW9ZutbLBaSlz2DF2alRox80H/a0FfbZOW+//cAm1GAUvH2rf2YTIxRNJ3nb4W+tTS00Y8urNBlYUTDreQdlBmn1XNcPWuPfDt6u+O5YpmxYpU0c5mjEVVc/U3eVQ5ANDXpw7+8S06XEFf70mW0qZc2TtLOwDZhpZ1P8ba3rYSL+d9iCihus64Uu7RxRHBJEP38/JYMZ54OUHjl/GfDMPjw2zMTEmj4d3CGYwPwd+RuJ/DHb86jTfqzaRE36pNDS62hYtvJJaMBvXb6vuMzplhEW5Ru1A3eOQ/veEmU7Eie5YXSWo7DLfBMRlblPhtGoIHQi/P9EljoDsq4Z9YZD/zBVpfXOyhJsgUR1ZMVRWbG0LS67Wbb9bM4/ADDLilF0hb6ZVXNvWBZW0WsdAFI7vcGLbH4lf7kUdpeqZ26JyEF8wswC4OpO/zfZPY7sHwqUj4b1Cgk0KusLmh9Yvqx0u1SFi+emHBeUqIHIKEK39oFxEqVwO3MypcnMEhghh89b8ezUb2C/I2VpSonegumHZzYwhWd7SacxEJna6JmF40W3wdAlQ1LeVEqB8jzRivo7ASSsAW2GvYosqW8qq1wNrRldueQ7N8W/ZOsnTiWtQGcoE5oMALvMEJR8/bL5gHLQ14poD88DxEiv1RhayPOhgaDMcBAet7dGIcWp8ECI07uhKNtTqe3rnXfuUzoQO7fBzv3Jkkkt2ydPWw2SemgpWP/fHeadNJUK0Yba0IXTNSkI2W1Qlm1210BK+fZhZTjnppKow2Yo5sdGGEvUuqgM2pRkiJBHFBlbt3Rf6hXfScLlo3okftNxMcuHGN2CCUIDv6MYvFx/3ZiDnkWrFBA5SEW7egC7pgOcKtDI3DWppW515ajUUCUKobJFAp2dVrrMo0gDXtRhVHNWAVomrErkwAeHw5McCAssnpS4HHskINvwqTUkvL4+itJaJzlHnTwaibvwL/+tmfvbnZWLRoQMwL3/1xwj+OpRtL02S001otiSblrVweqZ3Q+YGfWw2x4RipFzDpPPgGL4/H8YD82HzxeYMPDIvsJw2D8wZBeNVizdVkdeq/yrc2qHBoSMEVdajxRATaUuEEqL8gpKoCNtLanKqhVLKzb7pW5kGaKoh8kttiyVhRcvGRcNUGMpcmpuG6TlKA4XiNIDYoKTu9B6EzbZING1Bujb5cJ40rIk3d4ln+oxKgnd4yp5ZYWA1pC/1v1l9oyHk7DNGkQ8XPTtO6PiP1msHV91FhKnwssTNckHdtySX0GMtPyiFJHznMhomBrPebqNRPli/t+cEt/3Qo2WhtRVoS2aUdfsGwDuN3J/odmajNMT2m1gYcG3tFXSb+u3YFNNJhUea2kcsfyU0hbr7c1ZFpr9/eV7kWqh9ysyXWDfNkoDVrqToe8vmdFnDCiclcSFp2PQX8nx3eqbE0ita4wIOYIELmAcMWAPHj3G84PHmpUmA2Ricw44H5os9XoFpTnB3xMbDqnM1DL1ZjepJsSYBG9EU8qA0oG623p44REAOvbaEzlmcdde4mKWmilgdZP3i1SQq1GWDKZPExDLKDRh295NtQiWmmFh7+ZB9qeVaXkM2HL+GNkFDqvc3Wg1U6Ub2dhtOkn7tLXTq9/BGe/21ipZ5SddnI2xqp4AJOgpXMwRn0gLC9haYeJqSeafnmdMZAABcCyDGmKTxwsefz3WBXOPAOOzxMq9BxoqZTo+qA+6hNvUwoCD65LvRwbdUp/vSG3Xp5rQid18A0S+z70T9RvyvHyvIEmLUacQgS4zEYBVYMAEELSuzBGEtYNtzD0AzldUrMA45unxDlanSXeUhUPlEb9abqiRUSgHT9EglilqpG3kDw1rVRM4T9iSGr+I2Auy79Jnv6PJqeIDE8WbzxR5vgO+OsDCHzWnzESjmNsNjNDYw54h4V1A3C9DdCEdtg6VLkHEX5PY3SbjUtl3f2pFA+tnuHPQqUFEkz+20SoJGsJzZfHtpKtTg7qa4cmVunrfTlzllgVyQjDAbkGEPQPkwE+6Ft0HDcryKrRs9udH87+gTsTlmKYMysdHXUo9dhTMcmUPeel5jSojK5RBlQTMJI0ApkoiMhG9dx06tA8331TebAWE+U5cEdbSbrV+0iOsEF+YxsWyd+Ph5Xufixflq84ExbRCYX8KortkiVSl9SibqWx/lClnPOa746vjaDGVzOHM8hTGdjftFAiW93bpWFjG62JaNp5UV2Btzf2KRy3df3jj+1SaZNVLUVAOxcbNvRL+k0QrTC48kBHEUQspvH556tIRfbTbQxTX7SdtieCYWaCWhWlT/zQwD4yU+mK+YDzteokCahjlsHjYPjGnj8EhjltRZ7HxXbPN6O9c3KmVuG/8MyFXepSNQYraY6gjQh1fldLnA1SxwQnbL0t6MPpW5c8+yv00Xd3tULlWp2jcOeMmjfG5J0Q0iurkrb8S9SJp2bTLHL2yyH6zjN49HiJcTqkS1+JLvkpaV9uxmlO3+rwO09lwWz9oTcU9pVmjmGCjwpkquei7SFsyMLZZHWR5nES+QuE788Qc+PzlsnU8+P9Y//8d5PRev9fKLPd7w69/Xj9+OH78eHvXtyO7qs8GH92dkfgdQrRUBPyFijeo2ENvDWZwnXKZviwruMcX6mcRMvKesW+tqNmeKCwYNrLG/4CoYH2P0zuep7j7DTvOBPYIHLQ5Xf1a4bnattS5e5/IY0aCiWwwp8RBkpb8lsV8sKSLaqx03BO2m3sWHDOq2D31knsZasGnGWAkPwHOsh287MW3+Ihw4MKbNF50DgDh0dR4xtXzE3TJYK8aWsmFyTExY7Z7vrnbttUtyaax1XpU4pM8Rx/SZjdqwrU/TUQqpKU0Ch+nSFgmVRHyxVCxwzSFW5++jCRRLK5G99bL8+s7lwYBHmq7aIFPHxCp/altz+T5Dd1/mmboijefuL+1h+CJr91y+g/XUmO8qdXXBXSxhOCr1EYZW/c5SIdYdkT3RyGJzsgvXhfMT7/+xfv5JXnx+8vlx/fPfr3XRyNcPe3k1nMQ1jNfjwTFjRpDZSSE79y4LLTRCqZmLi7vIMk2BE1u9vlnjAev/5jWzWJG0S00vM9BIXtHIL6xgfwhgNTdUDN7nkeEl3tJiQl55GKjInlqIZvK4ZbOsN2iKoPbVYv8jIROMaW2Ie59pqpma2mY4KQ8FLx8lKrlghuHpgGHzMcYDNnGMKKL1uvB5hL5FpAkY08M0hhvYsgZlKYK5okXFQHl2hmL1u8ptcw6r+ZakY7NqUKYqxpbr+4N4ZQZ2fMmJlKU0BEy2AJb4uul7yU3rZ82IN7FAWmxGHT0RaVw3hZXaUpI9JsJAFoaIZ3ILLMfVYiL9+dYYoQ82e1jKUmrQULbbzSLz9y91ILuydQECH7HM9e/wwHPpUlSadNEJCpdo15YHxgvXievJzz/x5//n+uf/vJ7v6/nJz4/1+++LxDHHjx/j8WrrHetp14kff8MxcvcaTVFy8F3+9PCYurYshZuf8g0XMYgTBP1oy+rrzoNvQ2CNSCkswR+WgNat/mGkXG2bU7iQ+czE9kcxQjTajITgageBJX8bIOb4IRDxAzTmUCniCBTr5t7yeOPAdcOidvXQdVQHmsMlm5qWi2tbdILMCQ3pdwDDCKds+B4pA8cbxsPGYfOwVgqOMWE6AXgQg77epUyVdjP/GscfGG25fncS7O4r0J23dqpNdjWG4zq/AvqaK13YLMgrA+FiYC125FQsbLcEoBixvq1+dFtTEqPG0uu7DbPZRnFR8YHM2qwwUuGZmsUCo3huOiMKkFpSRjm/EpkEufD9dFfPZTTEJrLYoKtw0GkTsTaqvGinSOpZTaG+oqP7EEQuMDLjivl2QnD2ND9y5AuVXliL12kf7/h8xz//+/Xf/u+f//7/ep6f9nyuz+f6+LimjbfXl+ux5sH/eL3+/gf+8WH/6X9/HQcJzrZv5I2vfTg1HZctzl0YBoCBZUAcVBMHCMWIJ757fcGvv/iOaRoFggbz05GvpXybBOVLt/EFv+JXAVh/4Ox/Vcyp25/QYxfIQ2JZR+xI8kY6ExU3CQ/FYDPKEnxKq/V+6QQ1tsvWJTmb3Q4Jc+le5FoYA/NhxyuOtzke9vLrGBNj2nhMH7VPEIbMlgGTGH4K7NRiblh4JCWKNQ24kBstEbmHCMINSTpU1s+3udAUa8xWu8xIu7vzUuNzOgQODclmMEErTtLKM5nUcUcMC1J7BWbP1azyXIp7iZ/9Ze05QEumpHiYNGJHAn/QJh57UMWCbNY+ABwHY/LSx1LycHuVzkY09TZ3767E/eMyVPvDTF/xC1n7TMlfsWtr4RZjrNurOmJql/JE8Pzk509+/MGfv6+fv6/nB85zPc91XaDhXFyfywbWx3W8Xi8/jvOJ+bBxcGQYQQVgG2kUPXVF+RJtDB+nGDREvBWeR8VTdxMdfGPNTvYHtzGnhUWwkAiN9RMZZLyK7KKhlUlLfrGQLJ9DADGN8ubGN32R5GqWQ9/cIau7opsVuPPBC4tYj4vJkzKjIHNe7HzwjlcKogaW93vdkm6LJCVt2DhwvNrxZr4LfpzdMUHm6U/0+hG/fxgGbQwtb7mxIaFUQ6fcAeQJemEDWbJxn+TJ/ZIU3JYApkVGawFqt67aVBq9hexplzInuaIHcX07HbB3oL2RPJmGIb441Ioi4TCSip1lwRuTAJmFSNKyPy4SvyHabSPjbLesWYvfSxKKKdvL2te7wnYglrWMcRU/vmBAfdM/Uif9dQSlaqdFqzXHO5+qnwS9LmvhOvn+z/Xnf6w//sf645/rj9/Xx/vyw9BfHy+EfXys6zpp63yAdmFcf/5z0cbrD/O5hNFGbsi5D8ExYgXLdhFqUOvTqCVCZz0cFz0ploS3js78Qp6GaKEwArDMLV2L18I6FV3PcJxrRwBJM6iueo6Wi/1p8NOLDbH6rkrsocCcxKYFOAO3Jqzt91iWN0ZI0LBgF7ZHqmpNupUGkr2Rr3KUqq0oyhdjbBgTj7dh47CHttnRAqZQlRE+yQgkhhm064s2ineJtk3uEvnZslSFMxCHUP27DcFaUKg+K+akPcqL7MulWgWSJFeX7lfHlwFeq3VG7uNXs2mZ97sBd0lpZ2TNeQVgipZGPUUMJpK4fRx/9ZK5L/f9BvVSrq2X3buRlalvuJkhNivAxuKv1Kgvmjrm2O8ieizV0KzQV45xR+3B7tQFcJ4Xnh98//3689+fP//J9z/w+c7n05Nl43HMx3HgwnVei2MZ1sn3f17/HB//8R9v1wBhr+Q6gAfZjlnKh9xsVwAa3QKnq5EFeOEyL4DTd3ehMAVjZSQkblFQKmEn9DKf6iKIufQnsgrtSvLmdjocksCmAiYJ3I59BprbT4Arli2ZUUVI6kjoriw6AA/eK+7OtMCKxlQncuVHeigDCGCUP+iGS6Z45aTmbgzDB0krkuIR/4wAfJ32McxmPMt7NzLp4S/tmRUzSvONpBv8ZjBMBFjRU3OwjcCZ5fBiVX38QVyjJTHLHQnaUMcBdYWOowy3sF+OPsCVZojFaKEza+kJVlgqYdW55flpKZ60vVvQirAHGoV3nW4nTJBbwbOeSoZVqfa4sQqo+LY7PuqxNfTLZN1mEaMnW1wk7c3mSnwxHWU1Av80g7O0QAVUHSwLtPdRhCIYutd47LaCEgyhp1aUBB9DCkBgXbiefL6vz5/r853Pz3GdvBa4MKbNMaeNZVwLV+yLi+cHf/5x/fE7x2MdxxgTjOptTRM35RGbukl2W8QkStHQYGtgANcAQK40VgYQywxaPuksW7aRLnmu3FsJGOOZywOAXoPZ7JFlZUO7IwSmWYO05L5rFkvEw2gqwxG3lsGOHIHXLiig81dmTNNzwWE4ipp7UEpARZZ2s5bSVm0FH/Z3m831APKYvhe74GEF4ZroF5QHv1s+VTMg6aXq0JY67IIZKbi2MXJLS0L+guZG7pJUD2oU/sPqfTn6mW5JCQvUMTHrRnU9O2nmzF0UfdVCv5aaCNoGRc39YFLFHxzpo1vdaO9J4nW110RFPK+vCyxSFPqUnikAdg/Q7mivfuwa3BpqyhFf3SMH+ry13dgjPUp9ytEdbRgilQeoBcUpAHkgKwxY/Hzi/X29/8nzc1xPnifAOQ02H2OMaQZiLX6u68QiMMzO0+x9/D//b3/+/Odx/q/H+Z/G2w87jjnsa+idt9+4CY0+aty0YbYG7HGNWK+n275oO9ddmKXizT8qRbb63rCMM0LmlhHljSOt2CZPIG+SoM/J5YeJDLMrjOcYKwMUgZpglMq4B4IvnCe/+buCIGZdgwkLSMhFKdXvuHlz8tXhWj8sxS75hgFjgFCNtVfpW/UtqcSedNvgvh0P5f+7vpHQnrNjII6pTxcsla+wMcpOlz+IxY40CWkcNihIrjH9YIeQRqLIFFxdpoI4Df4ILRth0zrLJ1Z6UUv57mGSlMPU1gAfEYwdccWHnD/qxqJJUFlFIw2G7kPZ7tVZDvcvEyMbgUxpk+Dghq5W1ye5OugXlLaXfXnTPsikzeEjr6yTvqDJic1l1KHCcIN4XTgvfH6u63NdT99cOOZai+QCjee5Tl5XTFoGFsaJ3//f71jHfHmdLw/Y+OUXHhOYN5S+UaBpQ8v557CpKIgZxrCMVgeD6ijR3enYDFJxkxIh86Fa1q81d0CzGS8pyF6ioq6b0YjM6qoJHJeF1mqPSQNznwYn9XB3wvfVamtditfdx0mKheWmn/Ue82ACxMTmYRZGc6N/FoSZpEXI2PU5pHebIenvDK9ln0WeeqpSCeEZmiI/ysUEpKa0jzrvRfjVygBZXSC2FX57kswfKSMeaQH2NpiUYDcQPsG9ZZo1cH/sosGXKHqGXOzfPI7efAyGpllXP4s9pVE39MqmTEfdTWcpsn7VNe1WrYpvYrPTMYlhAX13U5mWzupno2TXuE4oVMdCX8pmRNiD3QloXQxP2FRKYwbguD3IElUbBBBYg4lubr/PhefJz+d1fnI9wctzdbHLMMELuNZ1rmuBND+iGHbi9//2sdZj/DJef5vjYeeTj5fdlbaNQEkZCX7KbAYu/fKYaQ+LQzwgb8OPBV3Fx4Iu8xL5vZovLjO5oMuoikrzUXg1QPJutBSIEcNaIoobkAGkb7Bla/E6JcuuK/Sz6GHTd9wizKveYwZfljfROcWh2G2JmYi8TwTjkgC1gaW19M0GuAHSt6lwn0RNdbxIqe+sh1TCEfJpoJlhVRi94vRGbfTG3HfWb2FeHZvEIEIzkDGQOFQ3LK2VyCtvp7oZFCmE2iFDfxSq6Umr32Yb0ZyNV4ar5HwyoXybClmEU2G9paVb7rmCbnENiPKhRh8GJgc3LagvwVO9q6UL0CIz377Y39qWSyHQDgPoBKw/y8ApHNXQLkflQUaNqUP2PUNQVC8/3g4M+AJaOY0lVQrV+IxjVPWgGcjr8zrfz88/n9cnrk/jc66L5HVeCxzDjovrWueTn7r/sDXGsJfxKz/4P/8fH7/+y/F4tbWmQnHCz3ifruFXCpeYGVTzCoQRdNGgK4YHrjI6LmnSuURihgHkJd/TYru3fSIAAHZhLkxq34dpvj/MzjZY5TDjc/e/PFZ4XXad5GXnh5OZi7FWcU6OiXlgDoxhc3Icfmq8//P87Jdk9lfalBXl1hMkUctg1+cJVPaF6AwByfnnEklKKZ1cS5QwYZcrzMinWewoG8W+lVGrftVqU2A2bzETlkwOBXvodormh+hs/qJa5u0T3IaZPWhkub/aDR23tXRsgSvjRl/5ZNubiljul6zN52lxPiCsdQiu3S6pq9DUOQqiAQCzuWrBjBYgww01v+v51qOtF7oyYb9ZALZnLoMv4RfKVlIpxOY7UK2PtucdTr+cpxsUzl5JAOQVrBld7Js2EfMBXn6l/GH44SqXb8ECmO8vQ9JPe+IJXgQxfNYUYHSnWXRb+1DBNA3ZfRD/SK5x0CBmUDccFKtNMWGZWHmzVZFTHWrOgiV+BQksH5r9oeAyoNMPWl5XnLF4XbhOWxevpy2SpG9TwwU+MC4YYNNAWnG6m84aS0MqiZ8bVwfRXE9e3VQiKmjSFb1p8LZLgn9VJrXZSaPMbLKgcE1x/5qkemDP4YZZ5ttUEsCwcD9z9g5NUBXCb5kOxGhLUlNkmp/RLm/4XyNMbSv50iAFf+lml80rAPH7Xb59lJpNy6YmazIg4//F1EHJ8s6RDSu9mU0dM1OYEp1hTwGCk7zp/gZ17TmyQv3h+oz5lX25/t5GIuB91lnjUOoTgVTK4rQ+NJuYbzcd67B/TLQWgpM0Itx9C75mh0MqwTnwmPZyzA8Pt1w0P7TmMbiwrgVexHXxGZsPeJEjYKH4w3xvzmN6Vr2v7lRUaXMgzHmW28u0wzvKa7CdDPqsWQS176m9Al9igiu3L230M1LbcowFQ+4sai2Oy6JhwrrPO8kFX8kQiP58Yp1YT5w/sRa9VnYRi3y5cEwDwIPTQ4S0GQdbts2SrQ26djFwESUMwyudVGot6sU761YuU58N7wuu4vsGyyVe8T6ORnAStu3bfEVxXkZFm7kQG5szNucZtSIKA7Cp9DHA2hnOVgF2/B+52bbiwayAIy5Jl1iKwNRiJpekI7vmba6QLrHGBRdRbR8SFw3fZ7nDjSRTXOgGr0tPPNVQtxR+LU0SjbbuycdhiMNrUiLLcGQj33t91m3C9l2nhxI5IoyaVNjZbren0diCdNG1JidJWGQVmwHGpbV7xTB25kU/jmxnY1YpcJ/r17cGvP04+Innb+uf/+2DJJ5mFwZt+mmYgydJrBXnBY7jmDbWmIu4AMyJqbXBxQe9542S3qWeyHD93TcLC6G0fThfOSL40y53uVsmWAYVMpGyjQT86GnLQym6Wfne8Di1eHGduE5ep10LzyeuJ9aT5zvXIhfWFQuWBoEDY2C5RKZ1S4+yuSbU883CbepSZEw587Cdg4yvD24aRoVwICo2AGAbR4shRrqw0Bs5G4mFx7G1sY2VaRiG8+GlN1zavUt+iZfFjagss6gYXmM1ayYL2y1rALLPX6kyvKXQYSYEKNESAar7TrtvIjsJq2wEh4I3ohp7AjFtWeYtNMxkTb3ralUPbVdsN6RhR9FYDBEz8oZb02pu0a2L9Ws1l+MGBXtT+Z3QxGcsX7vcCBN9g7V2UI3p3f7AIakPGpcJ2Ega3/MIQQ7bUga5lMFs6xKj1TnteBkvP+Z8sXHQjxmN2jrznHpsUgfAC4DmwBign2o4zGbYjXie7YPMIHMzYv29Ftw3MYlf1jlRX4e7kUV+CWJJzKqa2pus8Sf3Oxvs9qROKkEySV64Ll6xMB7rietJ9/uuC/Rll9O8mE6LtbMpK+OfFED6IkiedbkTE2OCwY1gPaRGgaWIFxp/S/eVLIW8R+xRe8imkTcgCu5zpqm2FhHLcVnXQ2ul4uWgHJm63JyC4axR5rgPt0i1q0fLfe0q2saW0QPbiOKGjJuapfO7VQJsNiAjb3bv3RdQYpPuHQyEV0Je5KFV0TSs+BUkrNCuhpVes89hC4SZ2x/ASoBEIrt5o21EGrF3j10mSRHZaoZQ4+7tCRXDA6gr0pXbgaBVizU75O96XVhRswD9VodUJKaN9fIG+7eXv/8Om8/f//vvY8xhw4ZdK8R2DDsew09IeX3Mx2M+jnFeP3ERtPH4MR9YuG771n33OBhafD/Hk3az1eBBKFZ0FXFqWqNIX4Z4NOWp5yVrkeZuplzFr8DZLnliAyXpEWc+cT5xfuI8cX7i+sA6eX1gXT6figbW5GV2nTgeQOY9K4YdqHCTJWNtde2fu8rSCr+SsTd2p2DW0CxWJjvtlm03K09LU2LTKE/HlDU0hXpSu1UoZXR7xjx70W/0fescv3z7DQC0CqRdrpPCjfI7lAlIF6EkOEjTQaOu1A5oLVInm5FHbm0nACUc7AayK7vtf9bfVaa3vTrsmeSPNwDZ23PzULstSdjT3oWhTmzNO9Ga/qputr9pPf/r3pBfMksmwJGpuz9q69UuyS4NqYYhNgi70dROdmoBvkayemttttBPVPZ7WEaBwJjEw7jw9vdxXfNv//WxDAA/f17EmuDgOex6eQxbc9h4HY/HnMcxH6/2+o/5t//68rd/ffnx2xHRfKbRkbEKcvvnDFkm8pAPmG9JyU6RsLY73YhVzleqcRmJALVF2Q/fSBBQ8rZS3G31C5J0VqDZzRVhwBW3+mHX5yeuJ89POoStp48oIkl0HQ9Km9AnosByeQixA1Kn3MwmxiWamA4sQhjhFj80ShA2UEZ6V8UICLPi65wTldgH6nmEM8P4JLwOtPhq8CO/WhoXNJ0HEtxrUKtLfDN+kd30s0dhdvnZwKvEge13KntgaRgk43ZtnwhbOX9fneLbH/pVGGDDUvK8fT0hssyxpaMpH5D215pNtS7kG2537MvgYPbE6i3Qup/y4b9Ttr+OJE1kXXlHZd5IYRKh77/vXoOHPpXnjjlSl3lIwhGZExfhw1g0yNmS04f5U89hwL3B18QBB/H6m11r/PpfHp8/z/Vc1/MCFheHXXOsx2F2jcn5MudjzuOwx2/jl385/vG/vP7698fbj2ljVYJs34Fzk8iksmyuuv0XM4oMZqrzVdSS/rbKnKLdlQe4oS3kt+Iy2unYsOpDCWkJU7+LtHXZda7rMw5bvJ5cJ3z/2hyOTBDynBltWGWCT3G+x90KhEJeEplM7JTpkqU3CC2bppUuI0kdWFEH520E00CNelhVD3KTM81p3MmyMbY1AwAszwWL528p0W9ZHIOKug2BgzraxaObl2rPysi3L+S/tB8Nd/bt7NmaasinUdxFUuaongUFkxi1Mh4wCNIySsQilmmdxmVBgiMplWl+sndpjPZdOqwPTP3d4Dtp2Hwt4cWdmgmzjQZyifSYhvq2wS2DGIleUk8hTi/cDOnTREr7hYkkvp9xw4rwj0a/DgB89yWY4e03jIfNx3E87Jd/nX/+z/n++/n++/PxPBbm9bDPP8910o5rHDhexn/9v/7tH//58Z//t5df/z6OB48JN07fQ3XHrxwFI6S5RA0g/DJmkCQx1zznKNRJfTORVLccCVrarTO0bO3z1CY5u97Ut5YKYgDCBXu+4/mO6+T1gfMEL1DrilLx1jQ7DNNwmE2zGd5KbIbhqiqMinujCnaTp8SURrSuUeSWhfJRttGJzsilX9vd8UvrzSGrEOpHZeh8gZQXSQwDBgdsHNOGKSuZDKynOFuXJtf5rQ2MpJQHkxHbkVRQKbXLsGJZ5b7HRHu3O4LuMQuj/ZYKgYX2mCBke212DJ2Qdr/I3zCTmAUaJgBy/Wyd3rJHw6XRyL4JS7Irn5ACHsh06/WNz6N1OFH8Cwiz/7FjXvvuu2nKfmvb829htaMkerdyxhX3Lr+8qOUtHxpv77E/MTY1gMqj1etmjQcGcDwMMP42fv1PNg7Ol/H41R6/2tvnWoY15+fP57o4OB6P+fI2/vafHr/+Y76+2TE5h3YHyHhKo1BBdnuz2cWw8FXtZ6KgwiZZPNmork3P0jqFHR/IRY8ZXUYlOJXzqy5GqJoqMNO3hrIVXAvXxevk9cR1cj25LvLyAg6gtmg0I8fEmL7NvK+aRndXGm0kke7ODGOF1DM/lnVCVQrhCZbYvShLDdTzlPixZ1dzNppx3bDzluHbYqJTfq1YrXEo6ezuZO3GoaBaf0wNAJGx3LphIXVhhbRDheYI3sLmaXhraSLFnOB6EIGGKliRJMmTNtS6DintlvS25LUBWToSffEH6X65Eqyb/P58wO3zkkNFvpJEmmiqtooEI6aIyoMp7FO6IVfuBin7q/isn1vMa8MZvcn53C1AZulS9RY1GBYSW+hr+k95p+iivyguAGZHfxjbceQ+kJQG2yxldMS3en282jiGHcQcr/+wl7+vzz/Pz5/X+UHAOB7Pz+d1rfP9Oh728jr+8V8eP34dL6845hom69Ln7oipCzpz60eGg4h1ty0C2yz8BsjYkXf0PUbkizlGr4reZ6Anzlrv8x1XvjhZp7yYCBZ97Ykf7LR4Pnl+8vzwiSSvJ32NEZYsrKJ4Y9g87Dh8V0hzFNvOMxEvYo45YvNp3y1Jj/XrGFjHcN0C2315uitIORnpaWaULImeGigpdBXO3Xt0KT2CECDKtYhFO6KrcQ7cGAYrBzUfr9w0FRzUjkndI5YrIgNksb3OjnZCVvWZSBuT7EpkiaJSiyBklobE0xJl00g5PnjPoOW4NQ7IwJQ/YI4urUgHrSk9rWYZmcLQwK2sUTyca4GxFYhwTe9kcCoobqKLkO3+6soN7p90exAOAPOLLj8AaFlV6f3v/u994E2gIXhieR8qDEzZgqTbZDQNAI62XgTwpJ9DA5jMEIhvOupkGsAx/Ciacdi4Xu3t4PrHcZ2Tp5nNMR/Xda1rff58joF52D/+Po8XO462Y/rKXTgBReKAcK13kheUAQCJazMKqJUedYNVk0ja5Z+GKGLa1UrEuzG8Q7kMAVLldX1W4X9+8Pzkzz/48Tufv+P8WD69it6vgIsU1l8feH3g7RWvDxwPzMMwo1LGeef7Vs1jBGtGWJ21fEutCAf3DROZkgFAm3mlcZCyapx7zWEj7E0OgZz1EIKt2hiHi2awIxxJqGzRYGznQmVTSzthrBVOnBdLizuAxTHEBp9cm6ejB2NRqoIj93lpztO3mfRdauQ3aWSlJFaG0U/LLNmKyrY97F6a+Q3N6O5Gv6EUK1yRzDgbw8kOdRC6MAgdfUuUaPUwphigEGUf+40O9y8Te9Tn4lezO55J2eOyQt+9/dsrHKmeUDCk0120aXRAbpVi7KepIffOd3povUf0Ssak5khbBFbPD+/V67xAvoIP4zJeBowxxrq4FnxTnTHxOMacGMNqDhhGqKeauItD4luRpKa3OV4510kfN8ZtiXoCeKde/F3Ju6RkmIaC1u3pFZJs3mtC2IXzyfMDzw883/l85/nO6xk9k/KT7oiFO4Y57ThwTMyJOWG+64agsbibqcro6w60vTx9u2/D5GaTcucw3f6XgZO7lQ5q0xcwUBMcus23iOJYUpqhH6YoK3BL82qzwPAfhBA9pRzzR2HMFh6wjD4LHsLDTuWydMTQ0xd6fr+5pKF+cXc+6l1eGqzZSUgNpyZE+eiSrJzKFx5Zn4kGrb9Y1vybmz1KITCBYCecPy9jvgWrJXH90w2/QIJ2F7x+QfuRjuxGjL33m96GQ5DTDzm1WbfeaJsQ1tF1RapKs7x9Xd2ddH7NAHxPwOPFMdBI8Frr+bls0TDfYr93wCO8Xv/KC8SkTVeOfYvFnSCNUsmwrYSGQof0p4J8tHI6ira9wVJ5ffLdc/slFhOUFoBKZ8SuC+cT77+vjz/W8339+e/8/Hc+/+kbMcKmLy4VsRdgGMQcOF7s5dUeL5gvGAfsCNWMh2eEbqMMm4PReqhcsubomow1aUcpn8l6qZ3NdNv+U9Nogh5394mqJoF+nS/D8moJttL3zDhlazl9oDsY3MicNoVLQGWGgaU8nQeH8ygG6JjxPpnThBFNp5qJF7021fJ5X4/3OLWXBrGZcv/xFbvaRTGpa88woViyYpgtge+mqvFwp1Dz9cSnwkWNphv9Qkz0d1+OrCh6bWheDaFNcvhlrAVSXz6pL5T0uT82RvAFFWusocwmxDMAh2RY+xOv5dsI6JQvyxPrkLkBMZIAaFqibOuytcZavpMfrsV18vlu6+RaePp0afAEjoPHIdM8MF8xGTsXL+tbPfE2GMj12Q1nExJoyZ/UjQT7mbNqKpmwwVZz0Xb+ZJGl3dhkFvndnEatxZ8/+fzg++/r43c+f+LPf1/P3/n5k74XmCFOTpzh+UqQBo4H5guOhwV++cUVZkciWEmss4HR48w+CxtEuRpADNtu+HVzKm7iPeoi5tNjwuFgKR/YJ7MDGbmvLHEVIVKL8mk+Gb4YjtbChIA+IcwAYC2PWQ+Ew2cdljWWZHPILRvGh6na4kFW1p85M1bnCISpjRu9I6Ha1EMV20kJskYlqn46zWKdSyP+bPMbs8H6MGOUbiec7FWBord7wrnGVgPXBXIjAIAjECktvHWUtdLF3AopWFrVRc1Huj3eO526J9kgNBCFgA1xpGG/eYY9KoguW91Yf9h+m4UWRDbTtKJuB3iA2hY1d1m4uC6sZWthkdfCeeF64uOT1yfXwqfvzT4A4pj2eNi02BvrJY8cHQJpNFcWxa7gd9qzZjZZbkRIjne15onJwpxG1OxkXzSWerb55BuqpY3TqheA8AXMa/H5wc93fvzkx598/smPP/F85/OT44AvqxoXxuAIUxcOs02MA/PAOGzMOuRWs9+2h2ab5oZlKRBqA7m9LBA+wgo76XZK38xpPliubrRw41BZBO/7qLl2XUrttRNXgvA0aYIHytm0zWQQKxBde2LsO2pgv9gVpyIVtxjcZgebuElNFFpJU7UZPElIGjXbeit0J1CeUqdefKH8QM620lCWvLpQU8vZY35kGckPXWF2MVE8+Ga2PVODbOS4BbGC9BS+QDH3vTg3L8++BxdTPpEZ095+LRJjomkDqOqF6JCGOWWWeuCBb16ei9MRdDf8kpyeJ3m5twX6oT4neOFa5i7YeeL5ifc/ohjq/Rk18p8v6+VhLy/2ctg4bLzYuuzlF3s8op7AWbPtRO1Rrj6HksZs0Gph325ZFw5JcTd3SV+EqNn4+tVfgEG5IuhE9fqJ88L7P6+PP/nnf+Djn+v5kx+/8/rA+elD4xiYxDDM6eFJs2nzgZcHHq/z8TqPY/N4kSLVmaw++F6SHurGbMqwy1njfnkr8ZGC/4qbfokZmDxFIhWZbUmFtC6e7lGwYTvxFN9a1uVQCM60N1pmpOiVlJ+++l17iYBXOPZxNENmpnq0KsujWng+PIGVpN0QQE+0pHFSjaOCZxt5AiYaRPae50XFPU3uq1PVbMQQAXRfx72UvG5aYGbdWRUlFUWsTG/D9tSdHCElAwXGuL2rb9NQRtAxI13B7y2uGtz4iyhUa9DtUWxjSgLQjAVf4jxMkhpwBBSa7B+TnqagcXtcpOdtLX5+8rqwLlxXQBhO8MJa9Hzc+eT5ic8/8Hzn+eT7J32OiVc+X+x6G9djzIPzxcwPxaXNwwY4BzCwiMae7nOFrgitmvU0AFhWNkCLWassOQoiixWN1B5qsTDdIMzaA5FVpakkDU/d+iysC9cnr3f/h+uD65O4YMQ0LfM8wQEOLAMnYLTDjgOvD5uH2eyyT6ScuhZZzKLgYMDYIMghbDSDiN2DhE66k2FuoyZv0itxTFkJ6rPjg6OD7SlAy39pQEVpeb9DQcPGWKmyhmupnhq6O+kx8W7M41J6ztnH+16iBFTbalvxRfN0TFPC9CYAILJAbG5NRyKpr89pMtaYrNoL3+R/OTkSOSJSeLPN2Ujc1UN0edRJV4ycLoSwU2NGwkdI7jb93R4jS54EyO+bWWg+HLDBVyExi6IUV28QlgT3wRkgn5Iiay2VEbEBWaOyI6aiCh+dAhndG5ZoCRV8Qr4WPj5xnjxPrBNcWE/iNN8yJuo5P/H84Ofv9DnUxzufF9fi9YqXV1s/cL5iHna8Ekf093jhYe6IEXFQoqnjTszNmci4Yk9FB7v0RdnGbnwaTbaCoXZ+F5gh0c60qL+62xoAvqnhk9fnOt95/uT5k+uT60m7MInpuX8/SmCAE2uAExgYB46Hvb6MecBm9amDEBuOgETukui4CRA4dEYZrMCl+J2Bjc0oalaXMy3TYj6zUg1NZRLBulVM2Q3ocfNXKlIOXyx1XE2mjSm/MEmzD6E0lWH0FUYwwYCRUdYbQ3A15A0TBAThRbmnk6GlutIQZRhUBxLX2hzKdhr6oOU5+RiYt+QsalXZpkaKfFuIGjPfxDl2lQ0ippbS2O1zYJnaDbxMNHMD74OEUBQJb2mbytSx/szZ/9cJCjHkk0EQot2+KMCqnFp5X0lNUcM0bbY4cJBQ7DGe3AgHMHeqKI0xaL1PR4QsAfLjb3Ge/PyJ5yfOT5yf4MXrdMfIjLF05vzA84N//nN9/uT55M93XhcXOZbZhbG4PteYNh8geJ3khde3AcIO5maCIQxZbyghCk1yP1s+8Fig2SUhqTUTtxlNvTp6ATARy/LHVwMSPoBRtUwgsU5cJ853PD/w/InzD5x/4PyJ65Pr6ppgIHgSBizDK+aB8WKvP+zlBx5vvtlVgGQZvArgy9qs8BPDET5V3TkxBzjhnqyNnqv8KneotqgzFFOU6hCrsFsVvoqPrbiBQI34r5vBboe9dnxZc8IaZdpcr3raHxlr37b86xIuhZFtu1tgs0FAeyoDGDZ3AzPPLM2+xcws8a1PyNJ3Kqeo8p43cFBKQB+bgE9TwdDMjGl7QInL3U62hAEcuArvNIPyarDq6xf6Qcq+G2YmYlaH92iMQYtImuHaqCFqM6W1Au6dHEAsCIviQKrEI6fEdpOMmwZ+UUjFwpLraf1SgZvbn9OWdWGdWCfWZ2jpdcXEfRC4wIvXk+cnnp/8/Fznk89nWIOoArqwAJ7kyefrGMd6HGMMzofNEzaLY6KA8KvJiEdXworfLFVKRUmppDA60bFQPPhS94QmwGKNxEzeMBfWIi/ffILXk9cn1hO8wkEg5UR16QZsYB42HziikFUd2qJA/Q4ZZ/lf18V1mZ/g6RKBKcSkAmqiY4JFby2blmwk0obyyv/CHcI25UidzG7nHMOH0wiaPbO6rpSqySHkj2R4b18lIh+nw0q5Ix0Ja//oDOBVxLk0yLoya1w5E7BoSA9OpctGnG4EanGI4KgNkgPbjc1ZdjqbdbNRc7scvXBVsxPNNdgpKPdrlzmY/BGPnbG+bmtkMijYq5by0mTGF4RsQI58BtIH6RdmdBqoAbIb2qoiYAe27IF/1sL5CW8ZuxUIRoYhzAKuC9fF9QQ/sD54feC6eDGiEoPAZTx5fuLzg+8f+Hjnea7nE3OMY9rLgWk2FniRxLmWTQBjcmFhjjHfMCbGSpXLjrdXylrVZAfddKQxDX7sYLE+W1vNv90p4+pCkXhjXiqGSfeDOBfWGbvoPD/5fOf5wfOTfj4AL8kZbr3AfODxiscPvL7h5RXHS6FG5/Zqdiwi377R64Xnp60L5zMWDK+J+cCM6SQNfWvs3XghV8aUIikva7FntBNYT5RUdS5Eu01kN9ObDzaRUTZXQSB/sG5widsDT3tDfn1ZAz17lUJ9wa/W39TXOzHqExm229f7W8vIcS6R214rzvre8KuZEmUydSdVx7kYcwtzK8XwkIeOT0mddCyudeK+z1rryW6ecpRRVzWy1EN2jp0sqxbB2zctbTTh/lHZJMs1Qkkxk83ZIBXy3+O6XWFkQoJvrcsAcMQC8Hv/wrxl6Si9Sfr2A3G4R5Yyhle1gOV5ycUL58nzyesT55PXhTGGL12ex5iHjWHrSS5en7w++Dz4fHAe6/nOx8c4pm15seZiFTe2JIt8DAPkow6Ppu2m0lvLpqwsd+pnQgXaemfKR7uxDyAu387wiecnn594fuI8eZ28Tq4L6+J5wZYNepxLuZYXHK/28mqvr3h5s8erjQdsolta9aY45JPm64l14rrg9uM84wSA8QhEWQtzbpOPHmyGuKkQQf8yyr98frm8zjQWdRQtklqt+ez1Fk4FZXARHlnsiW/obNlAIgv3Ayayy9Vwn7EJEcmBRAz0W9vve+J+e/YteJ6g7u4gNWCvadtWmKYXFE73ItaqZV6DBkyb8TRLnzyAPG/ytfGjDUKAkLSinhK5NfgGMzXVY5rZ5XtpZkGg27T0aSx73wZCWNlvVfxtOBWpC9mvLGfa+htLBuPBzRsk9giEOx9JdyWM1TcL78wnAjWOtDjHprDtRSg02nqXr9iXbxsasOhRMF4qE7uwrghLTq91HLVZgbfs2cz1xDoZOzKfYBw+0nJxCKXZ6JHqYhCElcuqaNo+OEMHCSLPNGuL2kPOSmTKwO8WBASjCI7nxfOMf9fF66JPMH2xUaTSfDOMYTZp08bD5gOPhz0emAfGVIaro5hyzEEHT6dcuC6LufyFdZJXCO6aNlasFM08kWhCtZECpbHuoCMHUwXz2ZciEOEqzkapyr7EX81Yxl/yOZJLN49Ht+axYfXw1mGDci21QQIsi/RCbcucpf3TfPHWO6kVssHby6ROqV1qtlwXpqa0OV5Sy+ClEuly0vJApkZtrF4+0Z9fUwGomBr5HCKPOmUwXH8kWgnX5O0UZb8bb8WdDdtoeuo1n+UTN6aRoFJSTZ8o0twHJ6R067WBt7Vr71MpR1E7apzrdhuTaY2MMMPwLarM9wnAHDDCFi7iWrjOCDD7DqU41zGG77gyJsbAtXwtOUNwBkisC9dzXee4LnPsS4JtBjrm76JFQbXBJCLxTeJkGDrLt3bnWxrngsg2id4+R/Ch3ISFzyc+P/h8X+8/+fxYnx98nlug/fMECN9LZ8KOyfHAeOHxw15/GW8/7PUV82GOYmPUuLbRu7wuXBeeH7ieuJ44Px3CcOXiaV8W7vKnuLrURhVgmqqkMhYxfIEEfZrvm0DQTKulEwuAaWUTU3Kade9it702TEHUiWxX8JvrkQrYyUIgK3VHKFMeH5iXJc+D0c1l/O5RHEAdF3x7eDgXtxl1W3SUudFcRQbfE0llTile6icSv5zsS25UlJb7Bbb6jM59CEFrkKKnFPUu2WaCsASaLUskfpR705AgL+tkD5UJG0a2jw2xkZTlNe3EMWOGaaO3W3Wru4FAeTAbA+7sOlQ8Vwc+p+pXZz1aLoyLqsVBP0hxOITFTmy+UITUlgMZzxpZgr/ECd+c68VgnnkZt5hxaUyBEbT0M/zlQvmQuYgSxvXJK9UWf7UAVUbUCs3c6sV2190LZUxnAiMWeOF88vnk8xPXB68PLI+CuTlVUmktrmu9PB6+qfWYOA4cb3a8YL5gHuZH3saGZXkqCqNfDl5rRRbl/PStx3A9sS5eJxdgA2NVOTkwRspg2mXtYY90VKxVdinSuzJEkL77MIP2xvb5Z4sW1jLi7hLnBER6QBVdNpMi+/LVE+gCGE9Jm1KMVLVpSkPL6omCWumEmMElnBWQ+I0uL/FD8xtJR2m8Ra81+Hhei55bUAyhiGOFPrcANaCYvYsVcnUoNVPNUVofUkKkTLO82lbcq5FJD6wAZSdNtofMAAbkpTK4FJR9YvWkWIQ2ILWQUUDGBpZNtfnl3TbIHvmJD4rmDswxzTjoO97vg8/pm2w5fc5AkcOq5AHDI4QDK89/8clOhKWLEx5gtqTZdGU2wq9OBN9JszPF0g67RO7MQnzWDW3Jdl6mIF/T7f2plZoJ6VIHpNRxt5eVPnk+I/C3IhcJr/+KQxaBa63zuh48QPPDnOZhjxebLzYfNidij9YkvrRcUq28wZPXifOTmkLGRNIPLowCiWSThsxUNO9/WswcdMZSBTZ5jRqxAvcmTdtfFhzUk3X+AdikL8O0HcNu2lDTdfHxhnDsz0RFGKIHt0uTIPIrwhiipKbeGpkLC1Js8tJE5RqP3jTkDOAK3DBF2mNsrWPyvUJMgsSuaLnoTXJXz5LYe+xPttfUgBQmrEnil1X/QSsbE8P0p22x8SK7YHr7JglbzUqnogMuTBVSawNAeYIxRWf2ZeehaBvzVUPfd+RAE3p0ju6SY9BWAIPm6cKppSgjwjVzAIZrxGR4XVweYxaZlrNeJ3rOOezAGLauFRHjoVNmb0OwLubVvTEialadLZvSDqTLar8bsqOUySQl7FdoAzfveVjxbD8wBc93PH/y+ZPrg/wgPsGUKHNDQZtzzGlGszXHfLzi9QfefuDlDccr7MXGvAfcQ1EJEOsEL5yf+HzH+eTnO3zr1+upYOKEAYck3Tzs2Brydmw1gUikSSIHp+UMbyFaTZ6FHF9MTfhWhm0c3fY2W3SX0vuL+D+4IHTEfZCubVuYgBpaPF1K7bB3F6oC4hx1//3Xr2u7L3phjMmtabUeN6ymn0jngfwkYsJls7hpOXJ1aSzDsLBHudlWXyNHkhZQmi5z1qouyUCA+0iLaV543AG5v5MctJlgM+8ZjE61yxbUplgTlGmNSzyK+SmGdCBsywDU3FEFLJXxwH2y30oWaNpuoZs1a5/ksxcdX9ykeGsRqQxdYglXb8q8/ngLatfg8jPFDzcLGebVnIFKnlinUr2C2BKTpBzbhSyz5haleEvwgp8L6fG7KETMJ404eXQEw2xOjolxcD5sPnAcdkwbM04akvLFcwDEaodId+D8wPOTHmSMierKPeYVqcmN/1ObG4qY27pO+PTaUL7FTaRMB82CofqFRZLE0jiZYOU20a5OSnJjxh7kKG0WITp43l9WDGod8AxWs1BZydouBnYPsMWQulyK+XVt3WKbTNYovoFppslkmxLfBpGKlvZAUBueTECYVjAX9cKA75QwdbJ3Rd4OATLCQbqnZ/C2NB6LLVvHg8phITmALcXGjd7Szu4q+LUs71m8ttZwhc79OY22hyd+29RTqyU3qTKsIKcNg2/xPsz3WqD59l8FRKHeZ2y86dSgbJLIY2vRVpA5Vc4GYg00ZMpwY1WUb5Vt8THL+/MxtNCIYiXRhtjQsA8Qu4uIllNIYC8SiwEZY4morU+up58IqQgSwsLYiHXcZuC0x8OOF4xXzFc7Xuz1geOwOS22Nq0VIXr24jqxnnZ94Hri+Y7Pd1xPXh/O1FZxanEk/Rg6NCTFIqdxXVlzML5dhr9n+xVaJbKU8VGSIJDRV4KMoPugak2bErDizlbJxMaOUgt93vjezVazMe1yQxaTUWEbZs4xGF58ZpZE5UBTSZpdBdF2C2kz8TKI9cB8qYIkUSIlL8KqietsxiXtjeXaZlHYZX7UtTSPsw1booV1gLmZYb8/TUj2Ore5DdwRULI7LzWqhEjVFhFyTJSz9ioPF+Q4zN3JrYerXKXzZuXZNiizl+OI9nPo7pYYk6Hksdr5sq65xjqRQs0B8SBzjeTEPDgHBmJ13gUsiyXWzChYUAsEzmsN2HRFNS4YLmDBxpqD84iTeDD17zarsrZUqvqUciL4ZClok2nsDNz+FmsEf2k/tY1Rfp93OvMv4uPE5yfWB3HSFrZgOlpSijgMx8Txhvlq84fNX+z4YS8Pmw/MA5Y1XH5MC2PTnmvh+rTrA5/vWCee7zw/sE7YM2JO4XMNzIlj4mXimBFZiz2ptaF4TjG+yGcpZdnBlCSltHJP9KSbW4aR1r6VEOqaqPCxpHhzHfql3L2wL7z6ttt+I5PpAUm8eZJISdqQ5/Y0A8z92Q33VNqzYaA0pa5iLsbKk0K6V8FY3r9U85RtjRRatWUF/20QV2QDPP1iwzAGDVeot7zHvp7sRroeY22lC/RE3pKpisSq8kk6G4GB/M1F4ldaOvoPTSVbKWFzicqVsC8/y44xucbUck0qW5ySBA5qGy9NKATaBNIANVvj/9NsTIxpYwSE9X/Fj2QosRYF08QwglhGoy2Mh1Bo0AblREQbX+SuSdjNtnwRtbAt7rqWJtWvNMhuX9ROimhLMm/CHfPg88J5cp3kFVreKWBKfdjEHHZMezwwXjBfzLc2nNMq9jcCMElw4dLu+2es0/ISCp5P8MRxsey1AQNz+F7VNifGNAVffJBhSyzng2Xg0AxiGje2tXZ3qt9sm4IJ+xGg6d18uck6lLQrNNks5qbYbU9Xy5l+lsvYU2vIMorG0dSd7kbso0kkN9YHHaoqE6ILmjBmO0y73RTn/sqFTiXnTTZDq6MJ04WxgH5EzUc44lpuSGsdynFvlFMur/mDoroASnMZU/lcG+6m3ftw8nkG9GR1dyr6fZ20AVFdMKxooYlp+XBtPMZjXYBpX1BJuhkc2jKKZCVOTknOB48XXA87n0DsdxjblhKAMXaEdVdrgdfCAObkoeZWbLu8JoeBx7JjzBceD5vasTNH0QzTzqHKqpjZ4CBspW12s7xpo5gRDXjDLX65IaPFAzrdSdjw8+/wfOfHT54fWBe5WozB8cWPbyCH4XHg9YHHr5hvNn/F2y/j9Ycdr7DD7KjNMX39qcfXrgvnifMDnz95vsPrfp/P5fuamja1tGGYmC+YDztecPiOPYegiXepLrlCYECVCwjWgMx2JaFlvDZqWPu9ZatM/LO2GEQXfnHY8uc3XU1Gf/d5GXCAWm7TYtrfgQeasAcN8yHulJgiTSpCFKb56vpVQ7+ZzPsGjHmVk0BzVZE6Apc3JC2zIpAdU6tV8kRJRoFL7BSZn6eyfA8xYKYzBZGyQXnHN5hrDXIBaP1hnRUDoEoHNW71QhicBmY0AiaRiGaO8utuwqzTLg3esS6YcRHD57ILmL5HYBhtxcBiUpBPnQeuafMwgou4nlyXz7CWucgNcMaKGQO8eOJaF8bDBrDMTq5rPT+v+WPay5iv43jF44HDOGWJYgAsqPLRNaUrUVrLazmQUJyjT55KhL6Yp14OHuF3lZ43hobq+QLPT54f6/zgdfnWtZE9wIAfBTBjTm0wHA873uzlhx1vePkx3t7w+tLwSwz2ZUPn0xeiYl3kibHitB7vOY3TCTsA35x6+mnEmA/4xrAoNyWy+x4IXg3CmxSV1jilEs0zIWDrZjc3x4EpgSHoxRZ0DWnzNPbWuAW/2n15fQTOtUNDT9CHPpf9ANzxbBPIGhpyRF9A27REFN2FrbqvyLyvBBeF/fzq0ZQw8KzCKdVCAa5cjop+edjIWhdFNN95Rspv14kMujoBlHtMwbfsSPA0YgEeBgvj7tXpowu57fww8YrF1eTLkNfuTxD6gu3SdEeDvsLuojtAYjCiAjGK0bhctU9dYOPtwQx7ZfWQS5yem3E59mcaxsCcGDN64DtVKJKtRiz2nBjAnDqqz9cYeQD1Wtfzgs3xMnx6dUwcHvfPshgCPb2UNkR/lQ3WcphhhG+6gjwFpQR5k7QbIREGv8XTpGvNHHD50m5evi/FoqL4BosUjzEKtbzB+cB8xeMVj1d7fbPXF3u8KO4+Cga8yOtScT+vKEZNxyIWqPtBuROcnv3AOKzq+zvQZOi9RlhWXw9WgiyLM3fl30xmfhOZpGg30aPh0n4tMi/NrH3vNdo7Swq/CsX87Z4GrHK3lPc2idTEgv0hxVdEVkTzHwsIEA40aG7RI8F8dXnPCbZypxoTAwV8MtOU09jIKZKn3HVjooAvM+gcRjyhzLrFtZxmJ4xk9ofli9U9mk+6wWvsqF+19DsdsRIpORyijSn2R0GbfSdMyYgKPBpgsZFl4BclbhUii3YOLtAwgIvhCA5tdBP1rPHgpMVw9s2H8eL1CsyT5rWpfryf58VgA2NyLUzfO2JOB3OcOrfhIs71+f752zjeftiPX/H2Zq8vdswxIyT3BWU6YR2fyhwjubrojDZ0r5j1k4nSzYko1RVesnvPxTw8n+v85PMDfPox9urFgB0wYFxGKN9KADhe7fErHr+Nlzd7+9Vefoz54ouBQlfIqPzyFeN+3DeuSJfYwCA4I7Q5XwVhRywaP94wX2CvsAcw5Ytn4DkjRVGpdrMCLnmF3F1yLeHEdsFO5jT8glTvLmh70/tzbtAXnbEvH95xtDcgFY1UX1uas91egEmDFs3n87N+MH00hSZNxu/bl6X6Z0IwP29/BTQS7gXFfwu5l2NouenygJMCSSikfa1FehaBSWWLRGC3Pyz2ePdzjQ0ag+NV+98F8duAcxtxD9P7IveVTkSxInrjFQLD/PjPv+Bceh/0uZyXAZdWdp1FAKf8DESY0b0wW8hFLQ35a07NUfPecBL9UMhx8PFqvkcrieWLps1s0PVIsQQbiqOkvaLBk5uPF7y94u3FHi82H2aj6PJthqVTRI5AbZuhrdWhDS0JbEfXUzOCsu9JSh9gECi+CePgVy7GntpPnGdsF5Dbyvv82AbH0O4vRGjKgeG1+C82Xsx8uif4WAQXrytWPi4hl1tbs6BVOHeRSwkvzE3FODAOYBqyai9hOmZ4MS3GV7EzSVHmdIIGmpug1mME+yjT+Bec4V1sDZ3kCkd9k9dqL4IlAYZur9pyHwFOtEsO27Uvnw+0Y2jTtzJZbI52rUSFSm4BCkABWcNRnaiQXyCiNQ/RmWH7WjZ3hlz9hFethJHZqAoEUtCZRbHqF1C1LZ0vsUqmxuLPNtXEOvIVxDFUTjuaAWgFTgF8lhTzGPsWadFTCjC5I0qikt6Y1h5ZlZGU6xIFXul55Bei/bEWMCLS4RVe5odICNop5El990/HwJiYD3v9ZZoRF5+eRxtmY5nh8OU30FTb58oZRXVRm+CLPd7slx/29sNe3my+DK/7lzHYRTFNfHZPZ6a4+AaKIRlDICLyKbt+oTX5EKamaSoDYDvheHGdPD/xfPL5hG+K79H9mMIbMWyMfDIdiPDAeBnzzcabTd9X50jMpKcgz4vnE9cT14XBmIpaCSkwtSBiYhwcE5iwYeOw44FxAI5iU/gVY/EVwj1pyFQPBj1amIyROzbjYMiuy3p58Uzydl7UfglN1DZrX5R1gt8wMNU/ZlwpLWp29wD952KYVbYOfWP8LDADQBxZT8HiACuAEFMAqpNXjrmeHZdZdXF7jmXu/0sfFEPPZ5CLvq0dTViHBJWawiaJyOWL8Alm4mEAs+28m5CUQOc4MDSviLNWDTRf1xxC4K72Mp2C7lHFEV5e+fCQuxtYllG+rJUPOLM1y2/REMaq8UnIPWReAfyyMXlniV8ZtwOM5RHuNdHIZeviGMG00ebj2Y+A52HHY7z+4Ji0sQbwNAC0YQaskxeA03fXsRGTJp4kvMps8vFm//qvb3/7t+OXf7Eff5vzEYcnhoLcpCPwywTOQL0L85IDdkIv55HyxGpHNQM9VtBgvhf3Mf0HAAvrxPURG0yfz1jYMafO41uwAVvgYTRe1NbPxscPe/0VLz/s8YLj4DjMRvDIiOukbztxfq448VtynOYKaUkaSng56xyYx5gPixj/JvByskQ8uVHtAn+O5GNkyqil8zlF06SR7Y9J2/nF7nQelgx980XvdPPb+JcX7rfIZxqjvMfbExmBBlfXWxMZskmzFo6JlGxXpTJt+7oeJ3BoevKud0i+nGnT1MVlNNgYMZdN6d7GFmspa6oRHLJhY8xCVCoARIPXoqslowpxhsrRY67sVUJXXDwfW3olBlNJTx9nN4meGMClHT7bz7uluuNZjFd+fkK8pHTZ5vwk8nuc58gYtnJGxkUOU5jfJ5q2zNeD7wbObAwcBwzgZdcL6EXqAJeNg1y2PFcybEyYl66QPtxjwA6bP+aPX8fLmzbM6goU4/W73C8I0x0n+UjwcrTG9KUTlWr+GozQ7LConPhlZW27vxBkpW8LgSt3BHMoHAkScfOcXGb0cIXBBh6v9vJqjweOw8aEDSYUR3Lgoi9U8hBYZlku2CXBt2je6JuC6sgJ7cKWkqIZg3YwdmZBOLMrU0ezwMkqyxOzLU2KBaUSZlENsjWT1zYiqq1e55EKoe7EJeGuZJNMFwYZ161pSZN8oa+FcOjSuJDB/sKjJIdSRyIhW0VOTc5atMoTvhb9/6tZcVGQjZyNUhlz9VBlE8ikd1oz+TiMnvu/ka7yl4caMqLdqVu3e2xuIz4y/u1PX4x9N1KPgpBM/QRyH4hNoEq3biSJWPVfySajw7KYkWMWFTRHozaetqzy14k4gbExb6GZMRdkymeBARMvr8bDjgE8/cTfMSbN1nMZSUyzw7x8HLGWhRgYL3j75Xi82i+/4W//Nt7+NsaDNuIIstSh2yui0TnFJDJTbJHAwBQMXTKkPhvSOtaiYnApCZ7oWbAmIxGig/PC84lP35fijIvmtFgcOcEFWxhLR+IN2OB82K+/4rdf7eUtYlgZOcUClvHE+sTzg9cJan4KYFkE9A85UA5Iz1OrGGh+AJKnUFz2sp6i/IzvZzUA0HankiTk2lsL+S8I6BUC37a4NbZ/UX2RRLdesdH8Doxfm+iNuEglJpi5eXD8ksJZWriGRXXvNifM1HpOM3cFNKXpkShwFyX11gshUusz8ytbAEWXuJvMG85N7Xji5fgZ7XWAMrNEWgoGwnJP+GGFERpa/qfRUz4GKICQjuaog/zi27Q4I3RGVpFWizYQrmtstaYygMbWlqc1wCIxZbJSm9zontByTb1YMAsgYOAIG4U2d1/JVwPop8aoFqacl+iNwBmwxw+H7TUOjDHWWk8DF33h3jTY8PjKGi/2+GW8/YqXV/zym73+guMFc8aE20dYDkCyP57bg5XBTiMiXm3ANAc00ZUyr+p1GFd3atrk3vL7xK+MPxLgWuZFW/SMYfo3iGDBEkHGIJeZz6mnPd7w9ut8/XXMFzo6u5KtiPbzetr5ieeneaG/nRHCuIiT61wcL3HyuTuivEIQB+CHog+L430yq4aUKMBWDRGACqFZo01dJyyKXvyGDKANSwnyW8ZGsXzdre2tUtsf5oq7XdrRxRvt0f4WeM/OZ4VsOcHpD7eh+cEoMvm1YSyFPmn+zYyx42OSw1KjBZS29FlSYN+NsA3f7poZY1Ru19Q3OUZgpgpS1NXXCob7rATDY1tLkJDEy82K5DpF1EnMMuexEQO2rIijPQJoI309xdImNQ2q8Uh5SNQxFozepKccgeEWIDRHvx7ny4XrksviQ7rC3XDp9+E2QSimDSqWdqrRGRxkIErhCAJuvOmJcbxykbyCH9dlMFwXfYtED5hi4OWB+YrX3+ztV3u82utvdrzaOKCS6Mwu7+KQBQISbzAj9AmuAAxjRJy4ram04DtSASoUmVTdRA2CujDfnjnx/QX99KASKBmW1IVpkbuyiTHw+mqPFztezI7iR8xUCNIuT3F+IhYqLWDZ8l1wL57Xtca0w7zIDgBXWLE4GCJxn9WNMva8RQNLDOPjmADIGktDC/RMDo7CtKUkKUpBp/aBYLH/0RS2A1hrqUX7vKuJU/Vt6Gc9VnMxDSktbahhHo2TA1LKtrQqrGYuS64+9RCk1S6LagH5oARVSuCsE7CI2ORWD8/+1RTHsm3TzAnebqwmUp6wDrkouBOYaCSFXwhdq1rYyPUwRMpiOqt9BIPCKQb5ILWZu3UH7RRV7FJH7DtdBj2VXiiroeehv3IioAE6gY04Vu5aOsRRBnj5qtQhNsViLOGLQV2aIICJB2w+cExcn7jeMF/G+cnXH+ZleBfCHXv77fF4wcsbHr+M+WIvv8zjwBiWWzX0QW6jUA+ZMWk5BpbkHBb4QR7OneDfFn/WvJCJwiEwLNvM7haIU9fCdZIn7YzlJmFiCDMcMwBlGuCldhNj2NsPPN4MD+AwsPZqMmJd43ra++/Pj5/4+AOHlxzqgMjnifeP6+fHx7TXl7fxeAxPXcEwDxwPOw48Jo7a4VhjKSmU9U1AThCIyWrhThJhp/9XZggdbLvK+PVSfmkN/Tn50xJW4hJD2iAdkYke8CFgsQdtbWnsgLU0NC3fbalNi58NmBIKqXa2FJhwAoYxA6bWjn7qgDrRNmq4UXFsLADgyGAJDeX3Y7tsMTDDBrFwjLC4Q6OqwJXtkMfNQORJybkaKJ7O9sRO5NYN40607J7fPgjiYsUptwvcyvijljFPxkpct3BEKk28i42nPQ3AzESTwb0wN8PMGaUceFo7TCEX4GTcYcj+iRJjwmD4YePgOMjJ+aS96thpmzYwBn/8YseBl1c7Xsc4zJc6jxmE2TC4wFkPUcBCsYquC/KtU1zjjv4nimzQvanShfuGLsdQXJH0ZJAIvZPXbduIFCG8mMQPbXqFTbCR1SmyPvH5c33+uT7+yfc/18/f14/XOecg4EdDnicYS+odGofbTi9nmS+YB8YR1cglWNa0R2XYhRc+xQ2uxm3GVQfvefnLTYhcv8LabiGJdpl1ya+vmMa1bDKbxqZR7K35qnmuzL5p+XoYH9YYluwRNyaLpTVdQ5ksql5A2MOI8Vj3POIe5ATFCqyiA829S8XdsnWNGBaKqClpOWOu4246Ew0FvTr5WGrRa/TCYTZBUQGWOfO5Pb+wuxt0IHOe8VEk9MyLe3CrhzYNBfL0WolOw677Jvk1BwqfV7qXTiRz4t/jSKYf6TIHY83sWAs57Y05bypssNUInwjD68eigjYQxFIcxwQNY9g4bBwLD5snxwdoi2YchkEbeHvlMfE4bB7Dd1t2VwVC0qLrTRUEWGlU6LF65d8gLNf3hvbHd7qnJwnL2Fu37oVR9CUZRmC4tMfm1+YZwTFg08YhW3dgTMwX2GTYeUeCZbzs+Yn3P/j+z+v9P/jzz/XnP5+Pf0x7wAbOC+fF6wRhcwaEjeF7I2IcmA8cLzq3Tf5p6FqidnI0KZC4gTYzKS3XaAPOJF9NBtHA3sqgNYi80TZYZZBKSkuo9CDycOrsRUxYSYJ+EJx/P6o21V1tYnntZlvQ6leXS5RaG86pgP7mY6PkPkli9dsFQJjFkhXGxUFlo+K5ickdzQy559X2NRvx2ggBwlZVA4T+xR7lcBwWRAeRc2ezFl1pz+/gVY90Gqoe03eRQ4i6Jl/1zyDMRWmJ+tcoam2EXrdBeMStJ6WV+KWK9QAznepB5LyrbLP/NQy+8XSsEhgV+UKzmgs0Qxzx5Y8dJGOn483UeMnJ4ByYD3sQXHadAAwD8zEkS5f5ZjAe+q5t5TRuTT7u9N8lodMtjNUQNbnlh0qEzNLDWKK9RRzClu0eC7Y3JnYOixRvSulstPXHjok5MQ7YA3ZgvMIOi5RQHEHE5+f6n/99vf/79fnP9f7f18fP648/LrvOl9c5H3b6fmEXj1e8/RjHI5ajmmFO/HjDfMF4gR8bDD+fUOjNVClK1/RvNY9ITMtbgxuVkkSFaMuYsmT1XvDz3StgLsU7oyaNuhUwCmOy9fqyOFl2nGtkrGW5PWV6Gj0O0Ya3uQ+mmQZ2ZGanUe+8Ak5x4bpBTfZfKG3bN9+Up/V7c6+kpKNh1H4D+URilVfMfJBFI70nwd4W7anOqJPd2FA1rlo9EzGOay0sGjGDVGJQhvdSwKJsGjo3scpGQkcGYI5fyD0YzLSfWKKgpjVFxTSVTcdFRTPVsh0OdO6M79EiUUPuunUB6ega9rWZ0SmvZfmU28wwjnaR9N+SdWBPLDULJAYXb6hBbTDWeWMy42lAylWw7U4JgxTLBACSCTclac08fL4iPtIsYHvREz3T7BFV+LExDs3PlLw++Xznxzvff18ff6zPP9fHOz8/cZ12fnJgkSPWdy8C8JODfdnMGDYGjgfmi40XVBokuU4Up/oo2MaMnSB0O+JMkb1tFUwsWQOkGlt4Nr/d5KOwqkXIq1Bho1ybBUV40RVmGDPmuCJbHtaZADg6K+3WcqjLXu7bvs/+fIdfaiPG0i7bkiN6dkpVV6IG8WwzRJlalMPsf7AL40aR5KEBGfgKBWT82Gv4igCJAb1rggdvJ+bUYQdsrWUrSpZcNjKZZwVpzUxWSCKY4GrlasLU+cxklO5rNpBnmmwzAq+MMSJTUvnkmPgfG3lCdJR60Fozlx7OXBhm4bUl3CumntHSaMLrvKJn1OqBUv2yLav/lUqSdJLxpCAnWbHi7822MNd/Uw6SwcLiWJv/FJbt4QGB4EbugI+ps5qmdgpncMJ7NwEb4XyNF5gXggHL9wJ74uPnev/n+vhz/fwf/Ph9Pf/k+0+cJxbn5yeweJAcxkGAY+B4mEdhh3EOHIc9fmC+2ngxDDGrj1b96a+EkVTK0riaa0nkLVW63gEwfgGDjkeUajZIZ0Rnq65FgobUuWaM8y/fwndghfHmwjr9CBo//y0suumAWUsMYOuBGYaW4QDw4xi9q0sqxYo0bRIQVlaomrkbbg5XyHa4FW0Ca+kddhMQzkaGpQh3x4InIyiEjKnIsNcxjO1fbO+AwiEnq0PBza50Uck8mL736rUR25Je17K1jDIRYxR3JBMGCX/hlwAhfF8bQFA8gS0aGJJCxqmAaYRiJjmgU7SJZfAdwRQ9zMmBZ+0CHdrhSzDEcaortu7Dgm/f56ErM3hYxrLvsawZFQXwRcK5rk4ak247NIQry1+iX106vnulSS8zBWQCi1/iDGmdTdpjpcdfTKpOigUUt4+9b30pwvHA9Qqc4ImxsIjzgquA5Qb2LzZfbb6NcRADZsQFXnh+8Pzg+5/r/ACf9oOEDQ7MudayYeTitQIEx7Rhsbn+OMY4bEw7HvZ4wfFm4wBGHWbl4xo1vJK1u9eRwdyNvNInn6Ut5bRybl1UihhMsqIe0XjYK3DUR//dlmo2FlgyU2hmdmCRi+ZzxgtGYnBg2XCy+cKPaCZTGit70Y1V9i2C6UzXIUOFIzqho/22aWCkczfTl2Ru9tjfxbQoidao1TvDuiM/tKjHhLnnYDDfPEohX2obBCZThxQhSJu7cWlocjGkNZvGYURxrFdim5Hr4wkuI5cNy3K7wsA4H8gk9hmCbolak7kagTmyIgF61PU6mNkxLzZhZ0zba39+P0xn9Co8AjjK06Wa706ONqc3bb/lwWIbvnZbcaQYXLkyVmpSKNet4y1kqXmfD91Kzk0sEMDXlKQEqsQRUFrKuqJ2ZQ2uxjylZbFUodHkKn05TUdteBKQXm7i+3mlcHmBqU2Mw+ywcXjYlYAtX5z0hNd/XSd42TSbA2PQho1YMxV64vtH+3bVc9qYNifmYcdhR67E6jh1Q+kdVCix3VVPlzThS+541mKPdrWwUJ9eNRRIlGuO180+VKld/BSySc2Df8ikQyIp6fVQ7s27DfVddQzhe7DcH0RgJv9JVgKMNLFjSZkv/bDUebSwRY0widjpaBXS35FJH1VZVyNG0by1pClH9d2HR2P5WslqVwpFZUIkKM2CIXnB+4NqRMKcoZkUY2JELRPP6b9oILI5xQKvcp4mnsQofZqbcSkwOS9Frhvd8Gw2UxSEssZMl4tHJmgDGtMXW7AZWh3P5FA5BkaTnHyUFEQNWvsk25D0NB4DsbuZ5swqP6uQlKF62SWjviaavyEB0/9sRNgYuKFAWJW0ETfMNWBgPHi88QHOC+MJPrkW7LTYtPXBeeDxMuYrxkvIkjsK18nPn+vzDz4/8Plu1yd54Xid41zj5Bhmw4bPmAw4MF/t8WIvc7684fUxjlcbD3u82OPVjge0hqYZ2KKLEtktcg2hfdPlGhd3RmZyvT7f4SlYUSnsmgZGcDnaCbKW1EoyomeRsUde0Gc3XBeWYfl+njQh0jQ4sSycXiDnTAzu+/QnKw2rUxI+VvebNAxUmKfhRI6oC8zmSlq7bkuWVAP49rVnRESigDH/c4Q6z0giifXSBSstqy1ybm32V3LVkl6MM87NQ/Jca4Ura4uwxevyfZ0hIxFS1wCrhSd2tdkJ3fZvasZB7XjpSp+cshP8hhr+OnzButcHetG5Y/cY8sitnmy1iBAUmcvk+EhEx8jsysiwfIM7k2PgPcMbpNiLukJZM64q41KukpssugjkBm4R40667ELF/LX2viWiWeIZbGI+8AKsC/MBPo0Lj0vp7APjsHHgODAGB2CMk0LWk88PfLzj+cnPD6xPYuExDptmE2ZroMzkmF65isfDXt7s9c2ON5sPHC++EquiVqlx48saW5BLIwgiKqhX6qbPoZEWMw3Q2Wqpo98oYpGv50SkKS02jfQZEt1IncEFoO1OUkrJYb4TujZB9whGbAST2936w3M4Zlbxr+hCSEzzKHJkNY62zw1kCkraLGjVgm2qpUtfDgSozfU3I2LNx7f+ZHHLKWy+3YnoGCBjsQdkLCxXOx5lYk4pliwEO1u29LyTOvpgMHdb4wour8Or6/1dfBKKxTAmPc7cEtZM2+8facVWuBMADAstqhoVFebgI2n05zRaxbAtQ+/++zBt77E0Rw3LuppDHmSEtHnTlBSiBuxJoTKwN5On0pXgXg5Z9UMo+OpPoSrwzJNTonFZxz2hgcaLjpD1l76W/mT+P7FVFAEAGzZ9kdDivIyH437w1XwDL4ULp/jJhevk+cnnJ56fOJ9cn7QFvg0zjiwrcdYYHcLmwzeq9l0ufHd8Gw+MWThrKPeqJjai7ZbZKh5lNefdSahmLRsOFGSjSZAz593suF90TdJVWwBaljtEg9jwS5IjbrIWBAPI+aONHs9htu0CMHrigaDkRs9LtzWf2EdHtNKbhl/5qBTgGLGCean73kIT4/BamYtdrP1fN6HyyVZ/NGkOQakOVVacMdHson5jST3VRHRJD5NO5FpWau7xOMS0ikTKj+Je1YFOI2xW76bLTSYzRgoQdqEi2d6qyRx4n6voLa6KhQpX+LN1EFJOxHwL6dgLdDS3t/t1rebvG/TY8Mt2+vYBTrUm6oTTGk0lZy5Jiy2OtrbDvsE9v9cPCLx/FQZT4PhttwoD/P4JGzimZXoK4d8NgBy0McYIs285dmKdeH7i/OT1JJ5YHwsX358f10k7MX1/HZ5z2uMYb294+8HXH3j7MV5+scdvOF5tTJuH9g5JL6X6al+Ft/V9k4P6gg0BqyH/uE2VbiYrKd4/3cyUOleR3XZxxUMI5p6k6dE039KA3LGOkQ/VfEDda/YvHrvJgPN2hS42bc7gfeo10wXYBnWjp+1DrxuE594HORd7O2zzAEHbTb9dkdhJlr0oq5DTkwDEdLUoH0u3tzl2G0LJRAq/M4MXuegbPHnBBVj+RgPyLKmpZtNlyYeALZ5uilS2CcD9YtkiybnFjkaSb8BtcMVpD5sGhi+/FnJ/tIHYvyU3wu/KUzAsm9AQghVQ2CW8etBVLdz7muEwnWp0pVQMI5SFlOkWWFih3Q5ILZMSNsP5onUb9YjyO77jB7OSxHcm4o30bbJd1Yl+0QDJi25EZvzvx9DBEAseH2/j9Ye9/mIvP/D6Zq+v9vJmx5uNF8NhHAgbrr0JUIPKbgZJQpdTzyqQD03i2g1tXmPJJYUmQwM0IUxh32hciUQ2WWtAk62ipLnfHvJaaiJ3A65GgrbgoDEvyNDQhp+uLvAQOBbok9adUKbhmNXz2gSht9iDViaRb/Ih3etkvOFhkd6AqnWq4QpsmBfH7y/ahEZZuzNjU7a8QjRqXUuANcTMjQRXJIJjph4BmCB9aBoYIbEk2kYl22nXKGL3rrZLIPCJYZvnrDIp0+jcEp/HOGwRg8RlNpDlWYOYDl4TsVO79KeRCfeufuldXNPs1lcTl0AkMpH3o7tzfsuVe2o6aZerXyHo0sIsiWNIqbctn1gnP7S1nxuT0toV3ZrtCr1iDULalZCYASYivHtcdOibh00OXnj+jNEdD7Mx7GX88ne+/sCP38bbL/byaq+/wl4xXuNYustjQwHBRXdGOYVYIIDKXc87SNXXcsrTD1GUxVBWpHNxi983sbKNwQUJ24S3sVPyD9sCctaoLzpvCtHZHFptOX0ZpUuQVjaZuyQO8YhcBmqosfRck4xSvFe7O0H62CxrKdAxTYGPW1VWTKiRFEdKVvY6jwWsS5NW4ejVOL5XvfKyw/9jGvRdYR1/SFu0RV60w8xGJuXqwlxZ7tDpRF+19ZBFUyC5VsmJcoyGcpQro9p8cxdFDEU7s2YIZBcpv/SYrxgLa2EcNSJTf4YBkzZtDm+xxfPb6W074b9QMb7kzWVI28IIFJKxaf5+ouiXzFcaz5spFHhI/3yBuTURcBQemgYKOwM+VU2T+HXr6cZsGRVz7bDvBg4QWMDzuT4/1vnOdcEsSlLXCT7DUbGXYSS5fvlP9var/fafHi8veDzw+KEKghtlb/NBeM6OxVhhTEUGc47kzay9SRs59r8YSeSJMi5Wj0+9zP2z2iy0rOJOQt1T/evytN9SOMImbu3bvX0NIySf0ouGTUiTeWusmrib2C+9+u4T/RWeXBE54c4hK0W8Tz/2NvLRXei/lLmxnLTNplGFfXpCWZlNmlrM12DwxcqTxxvMDBPDhm0orwt9IKxnVkPZvh/BtQUtU7NcRwXGCcMZ9+yr3NjgIyOvkuzjmKBh5Qn0slNlCKeHwHpBipjh134xTAJNazSqiwxtcm2tPYoqCbq90Yw89dSZ9Ta6v10TJVLJjwqTppEgVHMUZGqx1yBGPsP1oGKxTbHayHqvXf7WwvPJ5yfPD9/+0U2Mr+gUlSP8b48fePkxXn+M40HfibtW0KAeen8bvIVirnmJdeusiqiU7n5zqy/9Rqf7KpwEgt3wB3JZpvalSl/bamJTtLPioBVGq5/snsr2UBl3qu0a0v1SRO/3iXNXuvw/tT4zqrX0/Su6+m3d8Ko30Z71keZtVmDQYr417Svd2AxTcGoHgwzr97hJXP+lqMiic9aaj8n6GAbigGlDsnTinQhuDU35p5vVy/cpLyECLnHN3knaKG1M4lknVx1ynFAurYk+Hy8HoI3Y4aeWaeGoYNZ82pIbeUIoic1AfX0l/jedaj/j18BYTS/oq82TZAKk1kpsRaoW2jabbDAbPIySkVgiFFLjyOIzKdt711PCJegpVZsGhQKNZhqCfaL7deG8+MdP/PnH9fOf1/FjzAfmEVxbiQjHwrA58fYDv/xiP34dduiAY0l62R7F24NmHotdO+sRk83dXwQBLZD+Mpwv71M9gwdZ5ugMubtEFruAjtbSzvjUoBaIyq+/A+eb9dNn1ps1CpO/eTWdZSeQ39OBrI+1PZpro8tfv5reWuiMlAj7Y+z2Fwqwe0/aeJzKbNRY6n8nUXmVysGiwsx6UqUy69lltybGcDZOatpGHY2uWKW8o+YS5j7qUKCzmzy/KovqmVcSg9SuXa0bziMdzsYeWU4m6tGHg665KJgN+W+kXBEu1gGaEJe3NYXsDyjbY8UIs9LyojMApb7KJveH5FGlu+00RRLXZtrQC4TVLSMibDAaWHlETVw2hPuQ0SQLkNkCLLKopYmyRepzYK3FEQQnnp98PvHxTz7/xPUJm16EQZLXxXWuOIJoTkxgjofXlFmTAcsnhR9ssWbM2RQSWxtEyxqzHAhZEoQp5IZdQVIid3GqqG8bd3YpPRlCgXbk3nsZs0nu1u+ulOkS61lR9uSeovyK8kM2KEhpYY1kl8UdzwT7rQIh9onY0pp/8VKwtGc6K8+0i0cBhaxpkddplpHx/LJH+GpcVkkzKORnaUH24XJ3t9PaW8WODHfHZ7Tcia6xYd7HFdpLVs7TLx2ppS4wjtsrnWRqVqOYg9UoACC2f4tbqYNFbvLorkWcWV7RhhSD1vUjUwwRgu1nbcUjRUsvO2F3f60dLZqvjl/dsS8HySc7EuMmBWUi1daeMvRnwkJl9/RxU9cdxeqnCREZe65CegvpH9q1XY+zc1KqdP3FO/WTJC9w2fnE8xPPT54/1/XBddoVm+LTWWlcY8TiIZtmh83DoxGxuAMR45YlDWmPuVPmDkrBb4rc7VsQ6Z6rRc74incNvJw3qsbb5+fFyCCG5TQ2ZaZYX8+1em5yjzrJNJ9sjWsNHVKkmKamfdk0vM2eLBU4jWAPIbVbQ8CqF7nLYz0/8Ovmvbd7ACqT0sas4gSB+d36tg4EyaPXQikw1hj1R20Y/BXaZAwArQYsvc5ntuBS6KifT0WZpC8DZSObac7hMKeOiPmWf4Y8hhxt/q4lv5IqVOPxhwXmsuJXfu2RTM37I2Hv6zLpJ6b5KU2afhKmbBfbElDkz87Njb1fmJ1R9qY3jReho7IDut/PDUWh8739LvJsW60kFC7VU7R+evNkJwnvA9hfpXEyblwk8fmB68TzE58/eX7w+n3xE8D8/Am3E74H948f8zhsHjZ9Q4sDvpCIPednbh6dHbv8qqsLfjpHV8ZOTgDljX/77UahBWjNV1CEGQxrZKl4LNC5k6237U8BsazT1B3LaX4MXYoDcorUlG07q7F1N6H0i2jdBBGhw6b3V/WNaXhv3DZ9mOqYj+0jhXiRAsaW+PL2rRrcHxBj7KK7GXTLw7iCLOw2oA+5/1zoLltyJ8eSJ9A22KwHC2HK8xQM6co20q77JnRaRHu+SNRmF5H7GZqYdhPX+uLASjMbRmI511p9zNFGkrcbk5nZ8ZRDZo5zM6O2odgtwxveRHaU6mPPkcdcY7/T2JjXN8Zqjy7K5y06pyKeYakcPiif8K3d+qo3rI8UOeudahVN6XAoToSLXFyL1yfOM5ZzXye8iIMX13UBwAQP4rBxzPGwedh8YPj+YjO3m7Dql5RDga0gopY1tbRjY1nCcQ6++NGaaYYzo2tABr2qSuSG5ewapDhp80w2iUyS3lP/SfBEN9ROFsGs4vPu96qnITm5O4PVrJVCeRMgW1JEk3LpFCMbrm0f9FSTHOWUt/7vZOmZHonSnutCPHkn5h5e/UoeayY2Uan8yt4Dsc/NzbYsvCf5LcYl/jeFFFX1RTl5qWbUQeBiQN2CsHdcGYwrOc6HU/PAdPsyMFSkix54aH6ryPYBpudoR2brglhb1Z4gOxUqzaPJqYMyRqkVvje8iNqNc1qgwCNIQuTWC3caS7j765keVG97491S+dVa5NHgK8kgtthG5DRDPcRq1bEWXkqccL94+eqyizxxfeI8+fzE+cR1ARjktc61nosk/LhJs/mY82HD54+HzRfzIyaj5CcCYLDhxFZ0S3DQemywhDLmKAcy6wnpaaqztBuJEW022UvvJHDsl7f5erFYDP4SXLCegq4nAmSe4ZFs23TcoKRWM1iselYgIhx5dvP+5JTfVNXUq9E1L3uamJI6EkGRKCuPksKapKdMfvXhejeavcyMYUc46VGnWgyoHTOw6WARNFqgHqUKgxEha9YFNIi9LXPZA8iSGFEt0VKrk9vopfWpVj53jZkiXdgt54OOX0604Y7NsEbIJtKxlZJnScOYUQG2rIoz8OgEk52rhpp6hOOXnuBa7bEt1qERWWr9qH4VP1P6jfA9byuEmZxkglH7qzWW8LvBUJOCEIINpk2lTbRcxTDipNycD26PYRwnLmVqQuGsusiTPHF+cp24Tny8Y13gCZwwndDuCQOX5ccxHo8xX80OcALHGAeOB/xPBnJBQab28j9XtQkzP5kgxl6TmU1jI6Xd/tbYYItaJt42b7phwewUDX01AwZWS5jeXk2avntJUCh7mGlCAq1eqKcwd3Psf2pdsqVRS4SzmzzonsSLota94yg+731e4ce3yIak3UDG4UANFO4dyCeMchBkWPbp4aaKFN+bUtyvbKqT93VSlU/rDWmFS9kgAsSxmXq1HyHQlkSBbdjM2IZ6wTe0F8EjpEdtG+DJs0TXMltmIWlmVXXkK3HsytgP+9AahEVTDbW9UUaL3dASfmIuje0okOarVgg0DH/xIo1cGbtdA2I4xVADWkpLnIiOVuJnm6RY/6WfwbUaXTjZOaco/kvMi4hhgimraIT2m5TztZ70meO6sC7jBV6RgjTfetu7MjFfbL6Yb7ogU+N7MMRZuRaDHrKWKW+NVBZGoE8kFYNtNOB2sfMkSW09ZcKGX60cY3upC6HA/SFdezYdSoe3c7gzVeawpLowISXEJanBmCFtajGVOjS+PajTTGDImkj0IIdkdRe6RrQsVtgnvElmI9ODvoUg3IjoLtPgbvRNdXYe9IFo7BbUa/1Td4E+FbeUpdLJBO0tuJ8ZUH2Umu7krXsFJKa0fW+UtXNW+8YUagg2w9rMMYWsDLbGVfi4qitN6GAJYdbkvCV9g79mAjeGFVJBkyKkhkhOVitF2bKgatd6dsgEIZlN98t6QY4BYx9yNZZjkcp1KyUWqkwHWimXZsByx7S4Yu3PEPcjXLOWgZgGecvrIs61PrmeuH7iunA+7VpYC75TK0/wAoaNtzEwMDgGjtdxPMwOGyPIa8OOh43JIedr1xAQrASV4oKhLchU4G4PvsY5/cQnKBSSeYPFTO8aK1zaJ6hBFmQoIw/i+xIC68bESRlAVuiw0Re5rLd9ZLVrjMyWbt7HxavYBGDFjjRNAvWTKR+RctNAWvqy6N2IL8U2xHlJwnizHqLlbVjVkga+U3J/SW3UgYoASaXHyAPZqncxpsxd2jZHjkSQcY/Mbf4l4Ydv7i3LigYWLUEApcwDFb0PtLJYUL+Ye8lzGGKtdnMZTOTySEISJwvMIoLgSmdCMc3fGpGP7h9FlY/lH80WiD2EFgGc4qyErzGoNqEOfJCXTCKOpG59MYbtSsMVjBzKg5mBtNHkuTPIOdIqLLYSPMvd0uErIrWsy2wMTcR0ARQsKsesGSZE4cwY2oBSx3nwCT6xLi8OMCzw4vWUR7YAw5jA4YfU4fCdc5SafHnF8TLGoxZymVA5LWEbtKb71b0tl4L8duk0xuRwF1vuKkcoTiERsGIumkSECOYhC4KtCHJ3vQt8C9GBbczL3vuEtNulSm1v7Vm7L5DzysOodNwkB0yxsc1FV8KohXBRbSPpiW0IOgQj10EbGAwa2js3gjy632RvqineyN9m+LmKuXkyEsjeN5OSG7AugGmOW2FPe6TaEfSnPAVbgvxERVYkU1jSq7Ww4EFerxCF2fKDb0CM2A2P1F43jsO2ZCcC5atHgC2zMWzFzMajUBzDKl8MKAbrobX6UyQRvALHNyEouUWN8EkM75f3s5J+Tr4ke2KJ9z+/7/rSxHX7pFQzFqhbX2RnmxTAcjBdzbeoYDnirl8eZLSycQIwYw5X2aoU6S5LiR+A835xXeCFdbk4KMa5sBbW8i3AzV11mzYG5oGpzaPHwJw4HpafmE5aNh2LuRtsB5k0vi57VIjTAdrShm0D2JUCLpMdIYhyqyEISBYmEBao5e/7LKWz1lQEAGZyNAVMCR8X5H1KV5Oqgma7J32CEfIxGDPjEkKrOi7WbKINx2+qVHMDMSIzXGzNmsG8Dtxd6LDP3lnliRFD3gue9m7DYGwXsBNQ7YXFrYty1i77tluaRnZrOC4/beuObBBbijK7ECpDLNb+CnHitpbI9GdmlxRLrSgHUkhk01bqJFpQwoRrJfeZw+x6XR7Woe5b2U9+pXeardAfkhj0MKp126pZm7PSsrlUbF1TtzTRV3G3VNPdvZG0qdcuwV86236yceJatWWUyQFrCpX9+MtWi36uSNdaF69PrBO8bBk4EBnl5RGxKMjygOFk7Nntu4AcE48X32bHhs7lHmnbLQWsdSP5UIVe2zYyrvnUBCCcD2suenr+X6Ax3NbRcmv5aYKJVKIhiebePn60iMZGyTSMLW5pX79vsNUqJeqblEZhmrm86zNrbkfKbB9sd/TzifG02xS1ARtkAoefkdGLVzOZK3BMx/4e/bhBvK1WIdK0SCpUN+obq1Q4AMSxdH8ptthYSSiQ4DBbYEU/4SerAHwcJJfOP70W1jLERNWU7IzI/FRfE8JiDlVCEPLIiz7sBbAtf7FNKhjz4YKeRIVq0gDgUJgujsUOuq1OZhcKmbgMO/n2OwsYDKfarx8CtWUyrsnbZsOHtLN7BvW35VQ0P3LidKHg6AUC6r/FIKgQmFfZrcXYVltnwKQObPpYnVGAZIdoRBSMi/S04zrNXTBl89i8c8ADVxM2bEzLWj4zPg47DhwPzsPGtDm0RlXqwdDMENsOy4aKYRuT3UhyMw4bTxhiyED7l4pQVjzLUJJrskFBs9whOzeblGpaN6e1ZXXl9KMsRAyCySkzzdxDFs2Qnew2ZldWg8VW+hv6bDvI+79uuZokZr/vFpFpsZuBzddIx0oh8C64ghzXdrNCigaG/i3RXaSU/ORj9yq6LpsXr1GOjGZbNzurvu8CHFDKCsXXCJcsAENUYlM9EyksbYafZT3GxQWaDT3PxXV4xlZxWmzRfe+6aoTW0F4YVBVUOjLKzcOpRTG08+OoUSTp/9rDsfbLptZj5ww2HiDHphVTdJhKtgXXNtuxMTl8dBNl0ERF8FI5C6ojo6QzzzSPoq1c3JM22nRUSpD4qyXLIynrKw+prmW8yMvW5ZuOR1yh8n0kCKP5/hQTZtOjm2Fi/Ei3mFcOPwQk5COsIKTn7fHJBR0OKpVJbE/0Ecvzm6hg4N5UYI5lvCpVpssCez8WdEkTOP9ZVemVZHAhsCZr+8tUj8qCz4KC6kJ2PPcJGynTCZqmgHGicmvABGPciXZ70nfT1SYglorWLIE6HrvOhhWW5ErAUmBD1WU1oPFvVA8YMiJmxAFAjtpLM/jecpt/57hKZ5qvU5BaITIFgV1OdKwhwruOoeeS3VAhT+SZHiGZs6z+JIy2mmakUTHAjKN7oBD8J1JY0gux5V4gARELjL7yqpGP3RogAmcRMNl3mbthfRPF9rImKTWg78EjLqZcOX69sR4Sw2r2e8UqC6Pwq1owLZxKp/JGhHi/vvSWpC3Sz+Ven2N98npSoBYAcV24lrnfB8Jm4FQsQR02J48Xe/yC44FxYB6q43O027qimJ3/NaJfSfOkfthK+esJHSJ5fppi5qYSNbO3pt5bWKZIzhVw3/bShGzzltMJYkU3exN7o7c/JVNWbUPd3yiT8uYemAu3pX9t/eZqSYq2bY0TDasnHfL671zjFPErBebKJFjDo01g/8Iv6PPM9tTmU7c3bH0bCgjYvdOhKyaz3yLZqOHLZMuH8OcPgTOvdNES7UdxymAwLosAWQDkZhhDIPy9H0ySdmeBl5YFzRAawxSd1TPWWxDEovUOxevQHmNiuKNiY4HWNBBAZLk1oaEMGsqjsrqzsWgzds4JNprWwzauhUCYeOfmjuJN3LXfg2ic+TUTv4hyRePXV9Sy778MQ+g4kBDGi55w9MOfFNHP6jBiWaRvptkDYwIGGzgOO15sHhY74jq/K3GjgdYGZoU8hQjpAStEpaBUzTC7HhTWp7sV4gjLrxopyC4aKTshhU6Mlr3cm5DaZ/VVZ28MktEHNo8gHx1DzOMQDQXLhVIyfxXuNkN5gtwe2WxVmfdUixLAvZ8NNJMFZc/ij4qpitDcCdY0r7SkcacpXWulkbNiJtn9SuKbap+sXZRtb6Nq3W9X6JKmqYEjTS+tc9dxkOuiWyr6roLJiwZhzLiQms39Lka1bE2vmWVQMWuqdEPvFwAevnjSvh1eAkb+CMJppKalAwwIF72qRXaL6J9wn/4BWw1Pf34LKzOZ1UPX3dkoufFolKCVhOZ4JgOiUrfefvXRWp+Z/JLm0vFr8Tp5nVgnPWy/LvKCo9vzHevi+oQNet2QTYyHjUMpyBc8HjZfMKZKwyyi+LtOobjDDmVId8MQS2bjxnbIxXaITzIYURLHnS/N+ElsGiMau1LLmHGbzXRlelKiYbA7lIispnGtmbe04VruP87+BEsTo/hegpdBhTxjM4r336Lc1xex9f6mtRXc0TiVT8igjbqm56eEalRJQEOP9nZrAyLWlalLG6ui67kLud3u3sbTKy6ytkTxEduvbwnjTHq4X59+/3AHnACNC+tcpNJVQ7ozLCFMKT+ANhgl8dljMz9hyHPq1UnYIqsKL2g9Qedr+iS5wIgZWBWT74RIq5K+jm3X3zXsr9vRV8U1bspk1WS7PEjDLEmk246sm219k49cKpcRCQAYHi+3Yfsj8Ne9aEYS8HO5T14nrwvXheviOptTduHzn9e6OOewR/BoDpvT5oPjwHyJKoo5IuJpCqczt0fdlL4RyM/a61/afiHvd+wvu38uqE6FT895U77aQzk07L5zRDcjaNT7vhvbjUzVhzO2JDkbUjVffiYWuxpUlCwCMOz3tp9W1926urkfdVXzILd703NhgVE3ihqQOpLElMTGfvPttXH1r1jceuaDtUSjbTSdl0WJdfugJGY32pV0VyhWHp9bf1+ossJiZmWMa5fB2s6XDVyjcskMOSsdYX43BUsDYZWli28WUPFcwnjkXL4KWRq2tIHJxGS/dkFvjwcSRaCEWr+2JKbHI26cj4qoexJHVzo4G5TKcq3XONtNbAOW+dY03VE/L69pwv+3sDfbriRJkgNFzS8Qkd3k9Bz+/x/O0/BMk5UBuCkfVEVUzC+yB5UVAC7cbdFFdLPFRqFmgiXuTN4ZfJc7hp0qemLv3F/4/tedG+t3ICIurCvWhevCemF94PqsVWAcgzoOLUIy8g9FR4+cJ5MqzGFea5d71zT8gG3ScYKRSgkW+IwnnvolIbvFOMZk//ajqWzMD75EyjqZKUtr0KDVuGSYax7N4Y2cGJZMy2l5z2HhajDd+zHKcAk3mTdJ7udSu3Q0IV8t+sRQeLpPE5qSqQS6qyvShZxHGUNCdi+0vrF12nt5S//x2cOY06BI9sxbXNB6ykwgd6dF03L8JdIeFraDJPsXbkkLElsUHK/q2eZaMujIRtUuqSJfSf+FoB2kvqmwfvcod5EIPvkRMKIk/n++8gfHwCyVSeQKnl07OkoJmxpTf+y5heypRHBVSPAAOH7Z+ZakutIDbnwjEZl79yk6tf6+aFhp7v2N+0/+/Z9fmbk+Pz8+8Pp9XX/h9Rsfv7F+x/rA6xcurWKwKzNmXjDrZyTRF6+LHjptmtcQ0Jk6OfcOCgshUiUz/sUthgZAcW8xJZyF5esf+v7k7anHqRD4H2whf+OvrT7PsYmYEjx/fvcK+x+hVsAAwcgSUloq0nIWOE8eZK7GAOMyBkkRAido2Rjz/VOH4OdfTD3Y4s6+panxIxnhpkmJ92VAOWrufylSUOUvp1tJVxWxalf2msVi2khEkQnrnwchNx6dVuVBnMK948NEhqrhpaOvShpt5QijXuXiIP27Zh3CYVHHnBWnNhMfs99RrylLfY53dGSiVBGg6c6WImsFClcH6AiDKsWh14ctInpqoBSwgAWQiejKsYKXI7nM+xoleRErAnnv/M77K/bX3t+TflKxYH0gVvz+7+vz39frd3z8tV6/cP3C9Ymo9au1tU5QMXZ0xgVb4rRd+EK6Rir9+FXTkothnKM57AVuzS1lvwqq6eSeLSbAIqagC3H2OevNnpCh8hlSoYTEo6wuzuXc824z2iSnVZlnWmox3VbeoMsvLEw0aan07x3UOxMVJe0KW8vM2KL/cTFli2NGxkLm6qycLZszwTvcYxIljimzUOEcpkaEHOk+AwgA9t471lVTbB51L9GH7fuYq7fU0E+kAb2qpD+lP0Ukorau9T6iQETfmuBLfstLREJwUtxNT5hvsdakX+QI8pC9m6vR/tbLky6p7Jt75Y9FN903DaHvXWoWCN5JPiNmDV0Ghth02NjjyxWUYBp7fIYByiNLh3R6EIUiZlJNwlk8aCvPfPjnGKJGcO99RyXy8651Bu3AZyBWXr/iesXnv1+ff63X73j9jtdnrl+odL6uMaKpp9xKnuRrtwyd+IWT4xq7FdZ72EqlnjjHYIWcsJiqoV8GahykFJWnkiD0MXhI/sA/2KJLT274XOgRH+bN5cRRjIKHYWWzVhHGfHWck24100ilpDUyeRKMhOSRLQl7xeJQ58Sa+hbhxgSpKR9mE4cUqW/e8kEG2EuhuSdHyGEF+nQzGXf+5ERkGDn0mrhEXtTbGk+NO2PX4QDR81q9fVOTC9mN6VjXIQSzuqfKx0w2Tt8wDTpAKq6IeB1dZfKa9nHtYlMumQ3rlUl+si3eV9tDhfuBMlApHhplPxxbZd4filpPS5JkppUzV1aRJEYMMpHydww1oBZ6XsGDiOvDPDNoSd59f+/vv/f9v3P/yf0H9xf2N/KrljBHBNYLiPgf//HX61f8+39cH7/i+oj1gbiwXnlxC+TyyydyTK7EkRmCYA6iPYmTcvOrTeuNvg8y0kqy4slWFbiuAN0yFcVQblNMiOQCzZFE20ZfKi5c09Rw+nZjRNL+8NMURh36iYw+bM5UCzTEkIFj8vNhI118k7TJd9dyRpOt8Jsp0frDped2i/euRnTXqoj++MojnYE3hv4TI2WPweihHOrsXUKUofcmxnxJW6XfjxFSeUXbkGrknbl713esiA9gxVIS/zklQ3HqK68+nBTXkzr5vnEOBSCE8EggXkHp7UAjXeKyrTIsuOWW4jpVA5NMDfUxfa7RQgLy1MnDHmyvwvK4iWGuSo3Tlf7U5zbRY3URZ3BEZ4aGSTZeqcxDLwbCokgTsg4rd+6v3N971xE6dy0H23UNSyXv48Kv/7Y+fsfHX3h94LoQr9pg1BzWYSNMyJrTITU7odZdZU7/sMvKCprDkEc79TfVibJBsT1RLWCpVjawy6UBHf/UkAOxlucajL1UnpmEAgGccAZ/Is+xGif8N5HG0je20s+b9ez3eLths29dM0p2HmfBRC8E8o0RiXtj8AIQ6FERgMTmwg4kRvA4KU+xPCasGaezkIuiYv50gk3OfYu96mhZfdRpMa1g+OOjiObjYaVCHgFNfJ+Nn4He9rvcSPTgzZra5zRkYopbtJnb6a1Hk82LgwEAr2iK5nyaQgStL+ybkkb7k9sAOYxYz0P8rRcJEVoF4Us2/yunIdWl2mSQHFXaHU+YFNXs5YKXzeLqbQjwJHYAtNqnWknxy+6dSuTO/bXvr6xTdLo0WScaRvRFihd+/V/r4xc+P2vnEO+v5FmGPIgC0DJvzrF2jlWGT7GVvF3tFZCcO6l0pe+Dxw/yzuF24C2J9X8rheGuwgWqCi+/JDrfEWvFDfXUdD4ObnL9iEnY8HlKzkDRMVIBi2Gh/XNMxz1r6aoIRRN9fNwtB6DAr0xL6yL6D8KpzFrQjL1x35T/zivnWgHZAmpM0tHOxLLFE0KxnhmNJoeFMemcE42HPeLf56iLVW7gQ+mIjUpnR0nXT7oX7z+PM1coxn16JXB9auecMDxwgrZZGAd/qBA2UY0kBvYaYeWAABHBu96KsIhA5GtmqtLYniYFfCHp4Km7fR8ceGQgB6Q48Vh2ZcmRJWl+SOMB2j8IrGYbK9AA2iviiodzJU1m1Q2TrgcG3tNbfSszC8Vqan3xYH2w7/z+yq8/uO/eSxTAWnF9XHXm/fVZ1xHFr3/Dx2d8vFDLVrcZM7r/rIUHK8kRMH+nZ7+jq2kjjWOm8D72bG04HjKyTubQPDsHusS4YCEYzK43ddhQwP8w322dAicbB0nNuuTJhvZ5c36GxNm++pSq85Cs4xG2wM9Pkeo0XLxTr0WYGYcZfSIT+05h1t74+hruFxvt3Nx+da2MFeuFCKw6lyY0tBmssyicBT6hOHmBIeD8MhSJSaOsxBXUWgGCep54m+QKUmnqHzPCaNp2UYOf0PnqOqQbIZvtxE3kbyqk5PM/CvXoTJZzz0sM5PG9aOzmDcLmZOYZfgJAcOf0JNvGjTZieKsC8GCGwNGN/8bMw4usAuhmnyVW2mlXZZaRn7QkXWdP52BszCiy9qrSKiqHUjPIWn9/947I9i+Q6wpcWBden3F9xPUreuVq7xwiRpG4bLfHNGI00GVympQnDTzpMYYRrYc4VFVOyj8EoMCoP2NYq9w+oGutLKPKBdfKK6Kl3XSpkw5WNRyXYGQjJVDMsjMI4meyeRZySb16+na6ctpQ3XpXQwbQyQDTfTsSC4HebD4ldd1brMixd2JsZGZ501izzcjpHAA21uoU37kMgwP32hxkjFPi7zX6N5Nkxbn2JizcNMmZmHRgqPgXHXYmtUkjKH0Q3bXPy3Ma6NgiJBcSCkcysqMlVLkdMa/hMB5kfJBz8KY77t5e/TEPOLWSnYwiMrmuJrE2YkcicaGOhSH0p29PVvKMg4jJcz1Mqz9Uf05NLp9Pg0OLCK4Q4estBls3QCWpzALNYIYlCo5156pRRGNA0TZqO+uN/Y1NI4zoRO7KWC+sj/j8d1yf6+MzPj5xXbmWRWDZkaExu2GTftnskUQCu1fBEYbdkT0I1zIvHThIZg8lKmVSaRMOQLJQj3RhdRmjiOMrFl2woaYNmEPxAfwgj4GRpv7zHrNfn/cxrOeEg/4FHNrOIcjCnzqE5y8yquKDOgthKBJ77/3dB8DtBAq/vnTJZsbCAjZ2pA7bQAK5uKWf3gYPkSV5osI+hFnRGtrTo3v+og8T4rzvppLZqgNavJbSFr9i3kAiVlE7uhBhV7koSSsR5i+NRhFYdYWzxJysJyvNP+jTXXt4PCHiBwXXREZKSdZgWOmy8bprlW1G2aCkL0DQjTqy8Vun7udaySbChlz3yJBaW8658EgTPCxP167CJzQ1JjM8pYGDdHQVqE48E/5wR0o+luMp2cxUlPWSkI2RglNZqbN7572zLlNZqw5Hi70/Ptf1K379W1xXvF6FX3W0fCRmVU5d9qF0fpciCk6HknX1aRVMKv8k2awJuUzO9+GbkiB8MNhSRNWsGFk0/vXsFudKCaOFXFgtqS07ddt4KcSBZPTowDQfHqgGOhmbVqYNyWmCWfgOzEIxGaAGmbadTIaygf6Y49lm8+lv1Hy3bRNsPqQojajTlvedeyNrAUFZsh1lW9ZFIvSS6x7Izg5vsnaj7kRErEqtDCwYVJ56LCrI432ahSMGBH0vqoeVdU1wJC3E7rmaoM7R6yVB9eSykDojo+6e71C6kht98dhREW4FX30W/6jbjIS2HO359jyrvJsUgzIHFkdlX+HWuCMwxOvU+QzBSZBS2blMUT55pcAplzVQycublRxWhJtBvi32Hgw9IiEDtfZq4sHaMSDcUiekPYYbMmEDdwCQg30Rznf1kaz9FKsXArgWrg+8PuP1EdeFPv9+8P1Io45gysF365Xkd6IlcB7XGE+yz6QSyFl6g3N135QUaYKH0nkMpAWFwFoR5GLOJ0ilcyDDIs5EOD36SqBwYe0XXSVFGDnz4QOluj4sdvqDh3Hl78f564N3NFhOBmgH4G6nm7pFHQC9hPQEcc8474LpQGDvdtZkUCik6nOGejqeJn9HHBqDCkJEiNcprH+88/iRoUEmMnf0ipFoDBr1KMr1c6zj5cSjDy0JxFzdEk0c1dwOBgSUxwAQip3GKpFmeeKwkeUFYdq21tdoVdn22sASEYirDiClyS6+Esw5iwdgHKoyPPgJ5oBxPw/2Hj44mB7SSl/4O64PnsCZp6gB54uqRURfI3oYkqo2risrTYtap3rFx+/X9Yn1iY8PLN7fcYgMeaTjes/5gtFsgCeOUb0IJ9HSAM8GHlKRObOS+h58NFOZtkGs3196riJ0B4MIT3Wnd3JQ9fgxT4Wct+rOurGJD0b0x+Ejp4l0Q+Cw/zaKSe2gwBBk+oiiv3dOprhwY3/H/YXN2xsk6aHcXQIb93etBOsHMrFv5MKKWvPT88hr9nUbKRuOjhG8T36Ge4oySdLKtCaWnirvCNBMdLSblXa+E8C7wqj4jty7FsZFRu87OrTzGGUD+5E/IxEub30sd9NQx8DO1NOP0xT1Xte1Kk+Zw4HHUrBcwKvWbQavPtTFU9aLNKYzagfdDx1CgotbBEf8i9nx43UaZy6JigXcTSLpvIz0cKrYF6BUq+00/Y3z9QqUTwNepL8+4vXX2i9kABeuFevC9SvWB9aLK7840+CEZO7b8IliJpX0AIJT6p7D0/IrcbLV/XPrbJott0mE47rfbnAJQaL7KhjtnDyYI5KpUPPm6sVQkPdEW1pZkx352ipLOTy962xQFCcUJSvpGyawMyYfMInUVLcx8D4WCdPZKciMjRU07Y6zQN80EnWmfnJjbH5V2Fy0zU0Iuy4ge53G3rkTi4tdh4wkjoV6wz8VFnyh2vzgZrIeb/9QZGeiH0B2jIUHnAdixQKU52fCQAmGaAXr8wzU47Gn/JDzZGIwso+Wy3PEfrJYS/JsckuMO8QrVkh/iotM6WutyERGn8M9ebnmWrYB5gbOdQW4dsZWlRpNBWGSDDMpFNwjg/JgxvuX5slrgUsqDwVgObG7DDPYkBEa/W/D8QiGxjSZ7o1LtGJ9xuuvCx+dA70W1hXX7wheR9S7OGXzPFxbwV5DyDu05vCo2geBzt+VNw7AgBiGBDSwQXsoU7kFPyXr3DRrqB8OYW+jKZLk00w3RE3OXdhpV++ytMeKQsxiMiSHekyCkAQ5mcae4B9HfjjNNxNYYGCCFhbDdF80C1kXUGXu3H26C81Yx1P6L/bG/ga4eyGBr11hKD6uAHCtvC5EQeGaJASyEhGdN9cFxm7Fm5j7SA474cdeRj6IMPMviXsrB0k4Y1lsYCgmnGufU/8R31bKuo7RakLJUYgJEIbyHAK1V/yKZApMI1l6Af5Y4/MrWHUL1FoBncezOgd/RVxxZV+5OMnQGqgUYCb7hkZEuBQYncDxX+PXj1/NGh33/PgbYaA5s8x9ly+hvJcPo50tOaDHQytwfa6oY8ABRK4VEXG9Wrx+8L9BJDiWzCS4t+Ex/WNEsgk2PvnnT2Iw+TdvryMBmIgsI9oQYGRKCF/FpY6+eZ3S9Ehbl2+DB6W2lNMm01Cb+aA4gIqVvRRGEZNK9UuVk7FggiAebJ9qtCWG1KnsBqyp2nYdB5H7gVozUatY91xUSXvTjmTsm8qWgE7kzri/8edPft/5mdevX7iAayWA66qFuLkWEYW1hskFi1/u907YHWf9EjFbAg+pRQ5SyKL4edZsu9ytXEs6o6Dz4dN38pJ3SAadKP65M/u6doiO8JPrq1OJu7kvyOrnbtbueJtqsJIEHadnX68puUXdO1K+SY4nXsuxC8CiOy1Rpb0Y8opWtIbnAkh3SUiexviwh6YpWe+gu0cZNIdTMNNrjejZLs5+/IlsCSeB2WISZmYCcVS6+Pe1Eq+4stVnHWU6gQ5fi5lK+so/dWp+B4kqOhBHgK6yhGb2vsioSSlbx8RWaJKWkE5t2pe97vUeIlQwZ7f6ENStd032Dya1euc0zE+7Z8sEGypXbWwWQsdAmCkrl0sRpsOIQAEuwTcaHpZbbB67oS5ZvxTSMTtfZ/DWQsaI1r5M5I5dCzwTQC8Q61ROZt74+tr/+jvzc63Arxf2R1/E3RgB5uokLGfUwKY0c5s3Y2Izl6p5NKM10QG8CqSukL5ESqIQc6kqNpMPQncFsxxGG4doCKD3iJFPSLlc4ENDjbaoxhoR1pPywq9anuT6qK8X6DVdC4nYiP291XcE7wS7eBRmyvOSpArsJ3X56Go0lk+Whsj51bOGI2+uhp1Q1gPxapHMfvIAtm7Ndp5qVwU9grS/TPwf3bssQ4zIRFy9skZhd/glIVwqIrEydFPXM9WINgXmRCn0nxf1oyRySUK8fVNMmAFsU8flvwGeVS3DL+c5AsGL9AJY2CuyPfS+pZmgDKpjKjLGMZYxOyzYGbB1LqQX6LitW6OdkTib1pEJG9rQL8hKWPv+g0nSWNAAgsXP0Ni6eFZXGO+d943YWOg9IQDPueQmljpJvDr5/k4A2PjXv+7/+Z97f14B/PVCfiIj94W1opL85d5WTJaYbZYasGJtaD2T7LPJh3RokvcQ6AGi5AKuiFfsr7r9tcKAbos732Q4shBJZJPHoBEGaVjrMKT7SXEWVlggo2wrb26iNiZVMje30V3tHyw6CuDgYNKKWtqaxnKAxxppO1L6TiH70nJKjpGJU5HYxOaACww14hAvPT6gMw3RxnIH1OYWp4m0K8saO2pRKWGMzPLOy3q2Aeh1Kn0lOo8WyQHRVvTozbNmbgA7Pbhtj19qQKcikquH3EmIlN/gf5kefQXg8CkMSJxiBwlrmNRLcGjcCyOH47QhIemsPKrm1qeYez9tw8bi0pNIjZ9mIOcGrixk5KXX0XF7Yk5et4nI60v76PjP6eaIdchVC8GsjSz2Tq5PkyxK96KJCifXxkZkrYTKWp3f06nS/Vqo7EItU9vIf/399T//vy/8xhXX/evad+YrOAxZp+dvPc/9nK1QS2c6xpKFHpI4TWh06WksAGPvuUQqgb0yaHhLJM9FqZ74A9166CzE7p3BRJ2mBoDOFO8AJ3il6Xzq9Z3Y+25mV9p9Rd8J/Tzg3LkaQL6kFzn9MN8o9lYd37A0pUNBXzJFNrZOQaL+zNDbi6YTodYCWk1kCwQcedhgnVWkxp0cqEoJR3LsdwHmDUrUAHpkcuL9TmLcubY5CSDqbB022BrI6LK1UXlDk1d3m45x45Q/V+WokxfFjjpXJfIg29GLl+UIALJeru7j+dC/7zJIHsblgRP99lglD+9P/OrP6FMAlVlrzdJ6ORBYXZsN2m0EArQc7e5eHL/UiNlrkqllKqEUvfciDllv7LH75B67gJbe1Gq8NhyZee/8+r6/vu/vux+MKfdhChDt2JvUbTk8JgDlHHQcfUxIscS8haT4WyhSf9iM1yobpYMBDJzkg5RXpa0usJZqCkeqtUcQIqJaljpTITIwSRqNZwLVzlwl81dKgjrD5+tVlpXLZZmji8yLo02DUh+rflmTGgYTsYEuvmyY+JYsRCawInSYUlq7xpC3zmgN7l516Ky0nwMRsdYQuM55LTFoQfQjQ5OStbhRwz+v6Zij5SoSjgmS+soBWjjUf1OQbwglCZT/3iNWBeK4d2OEVewM6cNknIFSpY6HDb+MqxJH4tcBnZu8SVDWcUqsNEaXSncrtARgapWV+Gr/KK7IUOFJLYnUE+X5g9U+3584fndzYMSXBGbQkFJUp2zQ9NuIbUpQMexC5ealZ9iRO77vvBMZq2//A6KvgOllNzrhVHkGYmat4cj14EU9IvoEkypOrL4PrcVAp6v0qwrseFZth/Zt3WaNjL61uii5xgYdQuMYVhWMTkuiAdQlbZRjTXkn7i061ZlUGZErVnDhWJYSvLG7MP91SCXnT1AerbHD2wx4XKDF8KEcUOvgUCZkyq/RWkEhDNXWYwigdAjdj7xzZ8ePm0nGOV2P79v60clvh5Sxf4iQKZzU9Qw8e04RsHWq1VVZ4LEwEWe8TwTlVNTnYUWiqcL1eDOLKCTNJntGbG2/68TQtu5aAvchGTVa67rM5gMmFKGc6hHgLRJ96FyWFLFSlGIpHl0YWnAs49aEgKr81nEgJgWJFkz+qRsXBs+3yfLB2JPdOM0lAjuZ2sPqO6kXXQ1SkdRu31IWfa24FrjBiEDQLnmsF9YFXPI0+4yPvSNivV7X6/N6faz1wroirli1Iy0iVrlvfkozAFbYk+cyNRVjJke/ueYzApGE32PJ/ImONbUWjO4wMns32eNIAI6oaZpRqcAlxjODaTnxwdRppUFOVnrGxBtztHQ/Ct9XH1+tNzsCrJ20sZMi1IfxvuI55saUYXH9uA8N90hhxkrvMcd3pqObLVuByTEPe9iCLW1RMNTir3rW3q40OXRhoNCHDyr7pXaShjZUgBM3Rv1CbxnYNAcKFDYq/TuQUdOKY8CcgnzwPfcJMXPaPaUNAPRfYGJxpt5OzGgyB6i8B09o3GZocT4gXo7FGIYNkJi9j1QaVDYBj6zasewPlAz2X5WzCWQGSIXICgAFW+p6jAdthEZNV2NoOGVDxXsiAM9omEGWkHZuNRdzycnGe/lO3XOxapMz4qq8rCoA2HdErOtaHx/r9RHrwnrFKgiLVn5Eb5jtWbdopgwtn3MvtKuYzU3BkETbdKbzWscUk/kbpUg7smPDOVpszfVYAITCNRa/PFL1VGkcHR+aAVKzlvgwq9jtLf1QAURopVibkK5gQ77ky3Lwxky3bcZi/3CpnvDjpHurci3KSwAXTj/rQIkm+YphmLt91fD3PvErrBGeuBaGvuJfy/NCZm5m4ArFVs79nTjHgz5tiYpigKLtQKJK1a8jDNw3HQgvm0m65s04ROXYtgXa1u4ANnGSni+e6/F62jxIvCHKlikEaSdDWlOd1UjcVfPw4rnbJsLjYv4blPNBN9tRUBKwPeBt42AHl3O1ox/w+Bj2vG51OBgOijU1jF3u18rOskyO8CQkpxzZJvBjAS987xbm70KpG/GK9REfH4HIwM7oXMv9Hd9f+P7Khfj9Gf/21/rrr/Xr3+LjM14f0ZFRDAgGl4jXRDYX/b7rn6ehDnbXhvvMhxJvyhota7JK0V86UpwmrIvoc5yfpCgQiVXbuhvqOhfUeafKV+xGw7cv406NbePOXnCXNEjx2evnF09lqGPPkwsP9s7YWdsbOs7PjD611UUbFLRCtjmKlfLV027DdkqCtSH1S609EB+iH4gDxkIUYG0ArCIQs8UoWu8oaCIyeOJ8gLmX0eRmgJ+T+7N3itGmHACDkrDpUDMNj9N/7fVfJlDHKsvxHtKt5Jn3Bw2zFKrNTuaJeG4m5wct15v4zIpTM6R+VOwZU55z6BCJKJLmwbXuUqWLOdicWZYZHBXTUWemws000WIzYYd/cWs/I6mjmSAxs1iXpJwQgPnjsgzxoORD+DpWyqhV3isQuYH9teMKBPKistVupG/Ujcj7jlfE74/r8yM+PuJ61YXtrfFJK/Yo82TKCfMZDf0CBwf1OR3hKc6k8VYMIqB1rpuNc7bOKCDbEw60UuTyAVCRPaOf/icNxOZCje97Q5jCp/L2ycaTTa+tXTu1TaJdMtUxavQvMNUHnGLlYhqtwDUmab0lgFiUFaSl/52J5Jq3XPlkGEj/PjCXxB1eWGZu2qhCL3qwMrq6PaVV/aEiKaENZ/+DbyUGDusKxemFZfDoNMvbUUK6yUhfkTH98AGCU71+FFP4/qYoF4jRkPWbCyszWZZs+Y2jL1KnXf7utpnfHTKyCuluU7tudsiQ3e4lBpPQzvZoerhaeJOGXjW4aA+AbBiaeTqC6WNuSCS1nVHt/S7AYnL+TYCvuFrcDKo6HVpZRRI5CnuDfC0hXBEr18K6kOV1RmTmn78zY3/k2lcuEjnrHLHv3F+5b7zW+rjW74/4/MDrI64r1tX0nqNm1GXm3ioWQubZxUq2UuAtwhG/TMREgUbiISNzGNFMxUoKQFD+2SovVw2EJ4TlK0g6KjNc78fkIMRpyjxPI828965KX62qNQiT3FRIjv2du1cYA5kblTMb0Xj9ZMX0fZDzSJ7KOTC73WRRsSk7kmrFDFdRwYQ0KakkYwjBlSVVrtgbOqs82ty3H3u1Tetbzm/xS7DJdGAPlXk93oU+BHCrnKpAGZTWd+3TmMxh/fq++z1ITelcOn1lIa2bk9TR2QCY/tnUrBl9k20dXHPDPl7h0WM9siN3puL1cVJvyvXD/kbH/3QUT3yG1bJVKcpuwUnQc2viOHXmW3sNMQR8eGEFJ5MoyzYGng8wxDv+DSCvSaahsp0LeRE6apP2N/7+wnfi60++7v3xgeuFndjfyD/YfyP/YH/h8xc+P/Hvn+uvj3hd67riWlhzGMi5VKhAd1NGnXEdBqVerFmH/UrbjRWrq8OcgoIoEVsLdIU6Q5AomI9MfCfK/GiXWgwXhp8JGYJ2m69DKs/nE0jcxZGbi/BCN+NwCUUh3Y7vP3l/YX/tOkK+c3YXhYgw/vJuRnAqOHfxCAWS3JUg/BoHNpRFV71fwudmokcRzoVxETCeftGmE/lt4iOYvdKlRN1Z0DCUJgQHXvSjdvUAQi4IJPYkArtXGn3k/1AGzg3UZguSxo5OwPAGUrR/5HHE4wGSHI837Z5AidYg6WkyxKzguPpjpS5m2Vgfh7atVgrG88qjt3O3jIP8N2f+I92kkwBwwtc2R2lKqsVKLTVn2lrj5awmwdFNxzzMQbXlaIrr8ydPjRX8sNJVKyNVLMN3LW1d+L7KHkQCeeu/wM4r4vOFjyteq441bSQwN6kp0jzx+1glTY4GJ1aDNHrok2mn3vEShtuERtJE5VagqDsHyvpZ+vGHAJ+2KvQePyyEiuN5AhmmrBlNZ+lr9nnf93fe35nffVtSREZdOkN4rfG9DroUTerfSpstt5s24mwp6URXQ4KWRiAza10YwECmSTCe2MTqGpZ4WgPZym5mIteKjKx7xSkO3MtsWYLnUEstTv7VsocaELP76pdmhebsvBPdNPJhmx7QhuYNCjZySmAmRiMWTD09RFXEUMsJAEtLgCnn5wllfMU+GjNzjDlH7CIDfSCtEt5HmSCWPgjMyv1wrk13sSdxrmgo2/YIYh0CH0N1ZHIKe0fSGIHQgwKPvU/5Rhd7Vh9Xce7KuAu5VmauK18X/qz8+kp85xfwGyt/RdFl37Fv7O/Y35kbH9f661f89ev6+MB16c6Ut8Hpl77bsPzZmCB9SHwUNfKSMaEiBTq+sCcdzw6KRvTS8JDQVx8s/aPltTD6GP27hNpX9pE+z4cy6GIWfkWg7PCFuGL1baCdrMiN+8b9tb+/El/Zi4kDfYwdY+69A7W0VaML8VGd8ZKunGOAYRKhM/PLXEobzUOh5YkcljyX2I4GMFWVqcCv6uKKX9IlkFysNvMHnnH5Yimc7K2dQsT+YmRKtbZeeVkgN8OzU5t7VDFUoQtYABGkZ7I55jtFMKGbCFEu0Gbqd4WaYbJiluY0GaovM5ugCbQyEWPzACOUNQdAldxu7FrGaSCTEVH1pt4PHMcGl5TT69mc/nNr5gEb0Vmhsg55B5KrdpJwj96mP4x25ogEqGhXht/VZ3hyGEpSckkO20bGRZqWiu3EirhW9javjLjyY8Vrxd/f31/f+ff1UV7rx+/oKlt1sXC98PGJugUZV9vBWJNbnHsas2W3dLqJtUY8YUSdXPNlyBO8fUDSDBmhScDCfhMp9C1PD2L87r6+pPLWqrEwDG1ASLMlsB+ggfTzxoy+T6ZDSCTm4Jl94/7Ouqe1t3RqHRnrmPrvdU6Ulpcltd7xtA4QThMoqb2SoalJmSCF6QI9ZoeaUKVt4JFZcz5SDcUh1E1M0TxzHBlbuBhcC0McLPVBuYLhmOr55lbQmab68qH37Ed4AJeVIMWyFlR5MMEu+Y0jJMsPWQjRsudA3+kMOHrCQhGAWW3VBEaPpOblUpcYxc6VND9hP0C/tmF+uqepQc1nHoNkjJJiRUpqJDwNQGOWbBojtUMTg0vjBI7CbYhONqpAG+AO4WQgFPrEAnIhV+zoi4gQWOWUbdzf++tP1iVs1+fK5I63QATWhdcrrlrUusBN9WQF+OuIVf21tbpRnp/XrRSGAJ55x1g+GVGqZF8rqQKCBGDehL8paV/WtqTbnKukAQGJKzfkkAkJxWyUpOKWIWQ6olPhO3v9RF3SKgOb9ePG/cfvl8pMvJ7SD8tha+KHK46CY1m0Y/G6IGxmoQGfJtVpyJByQIspsbQ3Y9YOjZDnNBF1wkagb4oTlFnmEn1bbZnW4qrOLUL784eFopKfC09wsKKHQohwuwfAuG1vz005pfZtAyOGEgfR2FlOkwijjZL+5wAdymds1rS8VyYdW9hqkTQuugOLfrTCHP9qQ8kt+N0+wwWOsbXOTq1qvTfO20DfkHnwy+HpIU7vEk1KPaceTPhlVy64raPxdGOtXnwfVc1YcV14feLj14WM//Wff+7vV+6Pj19A9CljQF4Xrg+8fuXHZ3lhmXUyg21Zzh9+AtCnGw11pU4M+6iRwn3dQZDzPOokCnNpBd8cgvx+HPZNQjGEM+RHKT9lytT+p6/69B55AADw9Me4zJmAsrDYd+5vZF0V9tVHsdeau9yxv3oLU3JV2YsTT4HIFKwNV2a4gjZqiEtTA8+8oM2gh0j+oGfJpaCDUkIgYrY9P/yypKNdp3b8MO539H+KTMGDZ1u90t4w3eeksx8/FTitx44pCWMhytp8EwesKCdormuIDyNBKrcD0YWfQ3SSf6XclZ8ZbHlMcdFzjk+kkddoF917pUEGM4lIqTUXCahoqk6EExZEyotue8Esp9Fm2IUjdrK/86svBMpenNCO1/gJRnQO4aGfjfxjjCxRCMRCroi6L3IhF+5Vx0nH9Yp94Z6QJzNYMA9E9FKMWKkrGEJSRVrIU/RIkVo9s5AxN3Mp052OPQNEDuvBXFkvbIpBRSHfQ46ksRqPGz97PFIjcZIO5qYxojwtuRJNk1FoVu12J+Lyxn0j7+gQ8rtt5OH+ByFME7fxhHN6njDrXtkcR+nJDM8kD7F4a3DerM+3/8FcX4qfNw3ArslL0hRTO5sXXFE89Ao+8gZ8jidHnkFKKRQ0LQuWIokgpJoRzlo7J9en/Why3eJQq5bSYFbBzVBHmJ+TO5QZpiEx9K8jv2SxV/sC3MRHQrLMKlgcWwIa0hnXbD9x+opR5lU9pMjIdJJuPpFq1ZKOR3bV1wUygLPOB1I7DUWGnlpVtaPd+9L3FXkBF9YLrwt5xXfGvXF/5/7ufFklJNfKumCx9oHjOTYOa1zKMWpr0jZNHl7gxzGXDc6ZpWVcOXDDhUPaBV4WLR0QFkaD1c62S2AbaL11qOv8WDCg47DGKoy8TNFCVMmsw9jqgpi+dfi++4A2fCPSz/jpbMpZkZzu2HCcmOcP+YdJFDUJHILEiAfwU2vlga8HnlO3Nck8xsaux6zPt4Uo77OgYEJhmt1KHpsdKrIqfW88tYbLcgb3DZ9IdLxBp3PGlc6+t7dIZB0EahOkyJYp3m3OHmbAAwHSzFbu9V8yWnbmE3phLYy9EVnb92wcnnfyrtWSzyWEBW9rk4h3NCtmEucPP3Rm1Ar7EyHygZHASED8TPTxROqXHxIGkbhacy7geuH6wMcn7l/Y3/jCnTtjY+vc5sC68Hnh9Rmvz3VdIdcjRpLMADSO5RBiqBTkCoF7QDZrp3+0RI4ZHOlR7BL9L51nRqHdqpnf6tXCJhx3mRn1D8lv/GRyI2vRNWUvVAI4giRHBCATNxfs37WctfEL399Z97DgxopcNDfi6CvHBukPg5nK+x5spdiMhuSwwsyYYfcDyN11Ic2TK3if3sdDqYdnqVIO05D96dAIliGy4C54MX0/ntO1B4lkSlPZTB7HdJhYn/e46/YMddSw+gEos6zdWxx3PYlEa5SA08dIXsRBV3fmXfsZP4oAFTdGnOEjANz9Qsyd7ZmZXdezbYeHpuaPeDsR57CbA5+kXD9/go8AJsxA2lfbMzFdLudjmePg7YOHB/nZ5Oonr4XXwvXCekV8xPoIRFVwK1eYUSsWX7FeERc67Z5wamo2oRNHOMkI1KKhichn5oSoaFgQCGHsKX8b3OlnRjRTaVPU6vuYKsrkOeMpKIdS8PxASTdxuXxrP+HJ7MksTgogErXpPcnu2kV04+aiCp3AM8JVgyUx66+v1lomBOZut2gMPUcy5Jz1BqT3I4o8YIPQqFnkSAtHVAJpIHqGfOdXliJnTLZQf6AEhGGvd5Lg1onJpvssCxSGhfNA7OBFGQFGXgmmDNhI8Nou9Cm8gUCu3hBEcg1AiTvuF8jYac9N6WQ2byJEPs/im9L27LjfUCgxerppf0KCPvgFdZB1QFYmLJUwKAB2MMwnbftej6k3H29Sd0Fr0EYC59fUy4xkA42VQkl3G3MSjD2RIB4cAmF5SBcWJybQELYSnxfyhc/P9fUL3xuv//7Kr/39vePCuiKQtdQhPnB9Rnz2BfO8872IH8eUx+CO/7N5kwgknOsE6oIiGqumrSw0+vgcgZqxpLUaxK8lDTSvrfMHXCwvcj1X33b6b/wvsJwjCV6hA8ROw1yBNpDlfW3knfvG/Y37C/c37u8+Y5Z9U7NXuAgm8GK2N9GHKkf1UZ+TAoM2uimAMGwpkRiLdQjBZLcRwav3sl2OlTm6Fdko9kggmIa66ph9p0dthuvhRyDQ93/PCdwndM20THlr6kWHBay+p1j6fHgCJC7LbIlCsW7QyRVAl4csww1bRV4I/sMI3UT0ByqarBlOHzWR51vd2qStaFs4DtWXPUphrvUQE8/yPJ02IlbaxdBMYLelm17e9DOslDZ2PHzOmWTQJJWIAioxPzJgb9ZQkm06iOnYILDcq0y8XvHrA/evAOLP13V/LXz1muU6028Br19YL+6beSPMECgQtGrjPSvAtlGYOtWDSxaDw6VV6+4KpLB1stwmEjQP5DDovFziF8aJy6netTejkfDqAAl6ZttDDp616UMhKdkI7H0DfU5R7rz/4P6O+xvff2N/4/7C/u5zQSYCtbvksrEzX+1I9Hr9wFywoP4N4mEk8oziSWDnmgmRKllUhwHGR7gRMZRzCR72PPgsc5H2zDFkOIwmIraanok2NihLCvvKMnxHapSir4h7/lSpO8OrjLNDUcuTuhyun76fUlEYcRPQtgFZdu4yszjX4ZzoeiJNg0XE0EiKHZJSn/VpPIwCo22TahkBMG2YqSaDd2W/lMUPHNSeP9oQIQyYWXLKP6LqYdL8d93CMQIRTR7NNxbWyo9XfHzE3vHxa0XwAOGtDCDW1f8JF55jO74UdFAaHrnYOJ6dH6wslynmo6PAbNupCY2VPzW2GjiuACG5+j2DeRoO5gJSH7oXEEieNky54M/BPWOpmRYU7JtHfejAj9qv+9DFbNe9PIjc8QKd+S2uxZNwRuH+RXT2sS8nwYy8mmxKZp1CvI98UKvfhBytgc8M3DDjAe/+lez9+CrzOBAkeMtE+S6zHeDZJ0DfZA1YKpLuJ5e9mIhNJkVyWwAUFrhPYD1m9ELuJ505mEDkLNs+lblF2KB7P+ZyLuTISSRm2GF3NrYJGzJxuXF4ECj64RTvxaY2Tfl4yVx3Y9juuV9JzY+DqprXmALFCWGPvUnF2xDwkI+Dt/HWoJ6/cH3gr9+IiI/X+pP4O+6/7/3nO+qUgddCrLwWXq+4PtZjb9r712kQqSGyfXMzvG4q0cOtqW/BL59aWhnk2V5ikD3bJ8TOjtdAxuFSode/lJqO/yEu1g83gFzscJjLM2fsGiGVVIFE3df59x/sP9hf+P4buWPfmd/YKmd08q5qfpHA5o6l10iDeQcwMTjSKAemS5fNujUJPDgyNexQShRtNo79yEmvyhQlRNxi5pYiiVIzUOOPDcnEMs26ZuqxZhj94nqy904tLs/soyRbs8bjtL1LFdgfX93mEQKLkDJFCqMHhSYFPR7kKX7jZQ1+RQlVQiOxSDG91R5JSMAV03OKph8lv28LSX0+s7RMak9nm3gfrUUyP0SXukVGlu8xT0C7fFplqIiBzZsNOHKdqzsQ2HthWjq5Tgqw44Rs2qGpn9VJIBErXp/4AHDh9zciIzLwv5lyXhmBj49Yl5qAf3nWEkTglrnu0RYuSS2iwSr4pHwYgaTADsENvwxTD7ThwEIs1SmD0Q1klTy16DiRWZlchV4doDKy0NYq18E22KUVfe0LyZtcn1qVx/zG/s777kX5/Z/S+dFSG9DK65pOIvN1OBO+LiwjJAdAHpfaGvwoNY3eJpnoZFMcj6YxUPrvbGL3872Nj+YQVLSYQR4DGqCbNk3N0BSd9/11SXsaK1prF8UIAGJ3ccU8zhzP6BH3kdQeKOt8DQnEiRXRUz7TP4eLZYHXIPXEpW6RNO//6ou1hOBcZKs693sYBBAT9TaXyfrF6g1KPoyBZokNiN+jpLNYyIZOpJ155JglvaCygs4tO+btv1juQiDO8rwEw6hfhInA9YGPSFz49R3IwF5//pV5d9EmFl6fS1ecSHZtwjYW5UeprgJaUMgosdLTpBMw5IniQU6GZwhoduSUmP55KtBHuKaBQTQVAOfUCJlLP76eQVBotjPrAOpoJ+Sd+zt5WqSlmJSNGA0lQgn1M19v3REOpIbJoZfhWv6AIOUni8PWtkZSD83VQ1Rm5ORH0EXJKSmJANkkm2UVGu5Brp+GUi34Qk2TztRKmwcdInKVF6bJZOzxCgUcPYl7Enw4ru6dcfQQ6kJA3RjIxSgz7I2MvilHwnIAR1Djklo8iDqby3o075zRFLgrSIC1eUAJiIpx3mA1w8gpM09h10zH0xpUhxVc76kHdI1/0pxw7EYOjR3AltH+YS70m79HQKBVbyvS+CWj9l/cW4gAFuIDr1esHf898vfH+vsD/8//+6+dG5kfvz5+/9v18Reu11HtILfOpur+RFJJy3VWhG7Y0lCbkgMth3IEtfPgdQtCnVUDMJfbt0vkSJ34Bd41uXkk9Hxln3bMbWgpZ0ACGTEbmPovySqdywaA5KGsX7j/YH8h/yDuBofQSQpOrVPAAdTZYy99PqGf+0qaWwv4pPMebDmieps2h6BYkntOQ5N6MJYCrHmHPucjBukHQKgMYLY3VKpnvMqRzBiJ0gkDK4KKVcay/HxSZjyTEMlycJ1GoJseW0d/VtYxVUIaZQyRG5gUOlEjGug7A92yJSa2mD8yV6TYGEP9K+uQQY9sYIDVgZOywU45tHQ+jTyYqThgiZ80JZUuRc+STR4Lj5ytONgQJ+P7nYZ42T0wVjeQk823REkT8pnKUvE8YkV+fC5gZ8bnv631B4n9+o3Xr1wfO+p4w4fzalKZ/W9hQo/Cl1aMnObUa8AUQW+uItkYAw2Dgc5pKGOOJpNRCMePSblhqgs5IMWq30Do/NTQ2x2kN5sl1ZYdAYKrKFALweqcNUILuk4K6hJtc8jFdCZFvM7WZ5gnQKjAUSw/gAzMYNjzXhOHcaMgIKZ0K9oJrA576iObvI/+4XxqhpaoGzaxChu6u7vbEo2EJp2SltCtmO0MepMYNeN3Q2lDM2JwSOGy9qTNQcH2JDJq73qAvnssqz4qfq2laiSZhbIiA6ecAlzpbacc6pmIjQxebRdWAOHAOPm+CztFTORwLPwlqu9Bw0OfpVjRD46VsYQKe49DT8b22kvH50SxHrly5FLcMJ1EzErW4gd3F8iSJgt+n5+xAmvlv//fr++vvff9+d/i9QvrV8blYDo4DAzMCi+AXljn/fOZXrOOSrrNNGv3l2VHxSCiWDVeZ/DW/Y6hPUNtoAX+rRU7M3dkhuW6joWERDYSzyzBJDrMeoWbJ1mO7MVvyoLtG8HL4NAFgIxeysLhduNZT61A7SX54aQKS1/4H3N+MDmUZOB8NE3MJLwUU+JXR0Dz10dTIbynTvd0JLTh2Pfz16pbXflEzlEcxDH6Ppe5wdQlovlYav29hxMnCSa119yO8w9EoESgFv71isAU3az1OjZyLmGlr7gk7v60U9/1mSPtfI+zjwY6zV4QFae9aXYaHWLWLPvOLCN7fW3hbRMdlTKVMAsaRq7I3+lRxiYwUJ9uB/lAdRDdeOrRjNqAu7VQNCtqw07s0PXSIlgAO5y3dHNU6MfC9YFY8R//43Xfe98rPvb1wvXqM6alz9FS6zADJNaWx9PQbMl8AB1YlTaFNbhWhAwFh+cMyrpltg1fxY8o6xkn2UThbIetfDe74qJRrulzvMoxDWCnJatlvEGBiABvgcrvzBt1QiQS64XcgbuPNtp3ro19zwh8p1qANwoDL7OXkR26dK7J9JWq4/iVlBI+G8r+m6bY38lLubQiH47EtRRp1Mp+mdUvytA92XH0pS6mt7EjroyncaYeCIuVkB3MeIQZMc6IEZCj9ZEqNqLnOPeQhkkE19B0PYooymx4WbcY7JmZxvNHTsou8Jjo8CxgVL9FEEGxtTEz4GyBjFxzhNQEaiknLlhUSwM067WPreBHaR+bQvc/WgZio5KN6dPJ8zSuEzN03s0oqIxinuQyKtb3ZQlbVAljYSE+f2HvdW/d730m70bFxgbO2uLKUQeGX1OTGFrHgWLRJ0UN/DswyrQI9mfRXig5clq+lCSYybLh6imjuZaIl8za2Id26ojPDIM3shN16DktIn2N9zsn22SMLIoGEwIv/0tIK5354mzOnzQ3Wd7wx36oXYrSQQXhFPUz0c2V6a0ZALzm5Hxu1Ab2i3YSCYHTWlt24UK9sQSwAQOWcx6uU6cLxtCWt/ZBENRf+2THkXi2NU5hXtCQJYf9kz17Q/BUtTJajGMoOTIkq2Ov0VNcvoZH9BnhJEYVOXdVyYHFWCHmSf4wU2FT4+TSyAlNCeXqXeQ6wzPNf1RNYdKBkY/AWnnCoBmZRTYAkH3CRFiJ9WS1ZCYCV66/Yu/4vluIV9GwrVMPNpPcH5y23YSkVWotepJ7CfBQPgoH1tP7n3E1hJV/HV0tXsFU/lEL6y9L+Rt0DrUyQQfx0Vk4t48NSMUNkulJ/vvG/q50GBX2io6LikQ34rIgDLPcpdafrquJ8jpCp/phpIxd7qzj34QCPk1hWi09QACZwQuZzQqZNRrFaW8/z4/raQtuzPixZd1ntAjAYTjY3SUQuVlwVBL10GhFtlodM8F/4OE5y4JlzF4qq/75C8ETCqgxlGXSo+jJQzUA9J1YR+UhEUqBebzX6h8JxG70YTO9TykgZWZ20ms1DVhKeUcgo2+czj4ObFN4QKdMyqPQS99Fg1mhoo+a2IsAkrWGjMJ2JgTcnW+GCv7u7rMZMXCpagaPxGr26hBtSaB+X7JVCWTemcBeGZVSCNULRXAM3QyfNxALK2tDYF8+muIDyN/wGQJ9DngH4TBXjHkDrUJpeeACOD9richDgSlRzxaPjN4XV1vP1oghbcdudB25IKIHUEsLw/c+muNPa5ZuXGZ+J9m6gWQtMveBcTzRIruqtBAXFgcw1xBG7ZGIOo4tVu+RPDuXL5F5DKwaYdbGHpUBORqTbBmKdWLJk1gt0DRUQqynhZkAO8El2gwEDqAvGLJghgpiWa042iUd6Xr0YA6lIocTvSCCFifjGLKkUILXtsqI001Fl5yl7pnIpShLg60URmdiGGyFhNDNTeuY4CRIkANm7SsGyFDIuTQDt1ShJ1l+GpAI1rDm8oTu2DZZPQ1X1aWGZjMg6OX6FiJzQOaLmpuMqSzgTP9G+FuEYBMX/qR6W7EB2vX+yDaRGbWx1+Go7qWx21ARs5Ru6oF55qLaGJw2xcISfto4pgzKOzw8/hWC99y7ah0SdUumRPbtGiYy0Q+5ZX5KGQdVjx7L4JL6/Hjb/tu9+jgn0/94ITMWuWrxyVoZK9bKtXoX6pwXZibNSmbWaD4mws/jOXnBluZ4PF1YHFrsGwZdo4402TWBR6e7bQ1iPCeR1VJQ3XgqEzxuK3sJIOeiicETp8o/fzWnTjuQwFzpOVPXxHqSOSpDI7eRKzba4Z08QLCso7qpGivsiDAhahM8lacZ2RPFSt5KKxv6VwCV0e3M0jQFNJwCgdjMax+EA+wcAOv3kUCWJ6+hknsnMxMhV6mpGIbPwYKzvzRSKn+8T5lSAZfk3ZiEeSJ3tEkpOI6Tg2S3SbcRkvFeyde8zZEwuFceS+31YIzApcJO2UvMfM/E6zmjGyI3ypWsKuTFyXs1jrY0I2fb1vIVQf3OQYawf2Foj0Cv9nt8hfWkjW+C1VQfZQtDMW3suNpANDwtrIXrylixrr6X4CX80YqCOud7KFMSJpVMA0XlQK3WRYGKblRC1gabJUiWgJDDlllLJfCgwMYMBwd95agMkpoG+dOmUpjr4qQekV1Vw3H46Jhai9MOAmHkvmgTM2T7ERKMsJcdans+WVGcdSzJlU5usHqUEk2UVcv2cfotpZx+EEMjJMUQiAfQjWErtOOECVtD3k6nnXj+0LjB3yQec3nTY0yMbSEXIrlzogdEyrit5AOWl1ErJiRg5erBiEzknSsqxuv0IIVOxb10Y8tZOfJWU6fgTQ0jjLUJoAqiSMSK5engFkujaPXdWQVNrxGYI8GiVe3Lxu3AjL4q13KFSV2TST3qkYpQ36Y9qDo6NzyUCgV9UHnxoUN45vrI7jl6iYtlZrXZM6DL1WP1RvqIeK2cybDAwLdzKNnmpWUogLnOMQUrru365od2isiZBzFg0M2Zr4bfvgZqLjSSHKwx2Zknn9lTTnvzZuoDqm5WjWGzLEY0wUFh4fIx0iSIY4Y2HWhcGbMrgbKpEfQKC1m/veuKDAPv+bdkMvdcsqk+eGPVMwieoR7wflijQUkAdQGcuTi2WIvtp5/1QdndzIqTvtPEyFPSEE5ZWFVq42JIDIDo2kvuA7+IS0Q6QP7dEnCElUeU+sje/kAaz+7lBDKybr3m5MPBDhMi1gfHbw8rxWNPdMamC1Zbg8jcd/kKoRRISc8+eKiEKMc1DAOA3OkZlG6O9yeFNWS3g6UVR0HD2BwT4yLorPb0erQrZiRu+HKQUfBDxSuGXOWR8fMxa4aMHR3Uz4191xVrIRbWCxFYK18cD2B3UXF+z98yal2NZnJq8/sXQdmWF1O/+UH0bzEEKr529dvQL39qPNmqEOagpb79wxBbE6ymkFx2ZeI2f5rxDav0lHVb58m14hKlDsCZF8IDDxt5TX/bpi7vA5rykCLTPJXEsValn+OS/z7jCu2wBMcYgQ3s9U6x1P8a/vrs4zho41kBoT4AN2ZnXm55esjgVnfbM0YW5BcqrfghpAsglDyPGAjzB5mEO+GmXKFIZN7YiXU92fLD3iMTgzzwq9q3Ml4EqvmAbyLulqMRh6/HkaB74KQIyac3arNStuYHYpGD3A4jJ2vzaK0G2My6bLWl3bNkJHBrQ7E6E4m1qkqASmEwt9nnaI25ImaNrNbdRVe7ilr5tSOTa1tXpckiUL6TtrWsuFb2QWxX34H0cpkRaXQUC7SCSRwjsvSzFiiEz3g4OT3EdGAd9ivzKaVUkoCJORk29Ytu7oOmbfIM7fmbTz/yIPMRXOaRwqlMWD7QJWg1DMTxMc2ZhUM1YaNP+vz7W8ck9V4VwI1ySUrmHIQExXCPjrq6R0xNeLTANnPamCieVFTinP8oj0wKt2h2Gp6B94yYL/bo3BfQVA5VVFSqCmxP0BOc1jC5q8DQEWzsjX7n+JXINqSdUSvJXcGqFsEn01cDni05MUqNBodJuYrPugsiu+VG6joQxFxS4FTykZkom5M20OEYCSjR9dc6J0BaZA+0F0+kNGqnCkoKwhDQ9gyN7piaSEcRSYJWNz4OLM3TyZdoha3yYzU9VRRgig+B6FMuAhF9r0pBGNaZzkdf2KvdzimpAHCNPR+zJNsrSh1Sd+athmFpjzbPzCyTNrAPjNtcHBC8Z9jL1SVZ60gVP79M+wNRh7BOsY8oEMOenxUj/UTdY+ggNMEUd4DBB5LnO/GcLIA5Qbx0VkqbEqgafKo+oMZz0aAek0/kNhQ7/vgPRIvedstOEqgz0Wbk6LVI/NA+d9os5XOXtHpUsZ8x/JNZA9zB6z2IbDvm8Wygk/zbn4E8zBmtXv+2ag1V6flGrjq5bLA3jr5mUjVxTT+iFMYNTR7ihF2OkIjVMW2EDxWEyWRuTwTYjWAS2CFkhIwyaGuQQF2ikTeoheM6jp5XI+/Ciimdq7arJGTpZWW3t4FpoBPwsKnHYmx7OPqZMacL1FymyMbjcNfC6xWosySv9opf5uvS2kyikxROdqKB0CXmXCefJ2HqwRyUaOU7FDWy9vjl+VQPSPbBUS74jz1sY/BnRaJ5OnjMureTyM2dSIek9iQkwqMsYxLz6CiGZmDkOEIRABdsKeecw88ReQCd7LrzXL1n4DRk5IGNtlylHbmGZ51+XbK4recYRj3NFxWNKhQaRR+qZ5YTWbqVFKrJgTBUURKljBEEiD4/lgOPYSnPoduVzsJBcXYQm7VMlNujKLafjoht71e5ICrBmk26jVxcHUBAke6yq3p474377ucqSnpe2APurQSBx8dOpTcorxKdBZf2JY+5Mwfkee8iikaWpFE+QHYTwoajQ3xtyYjHH3QK2wIQawVW5NUR25xhyu+roG4hFoMjKEbFrNaTIS6Bv3J1bRx1GXOBe0ZeoeVgldxsur1McFMS4yaaHZkEqExjcEsGH4UA2jBJlTggK0v2vuV5ps+kDNkSLgS0Av7QInVK0ZHTwH7ps5d5PtWEpHxPegwgh6FY2h99AD+8qwmowmOwzYxfELkcmrru6L2kwCVwZPEOohYGGopBlBRZOERt/2X3wzOhmE8uaDK0jAAcmGwPxxFTHlQdp6OxyRZwdhIMAi4VP0NLKGIeJOV6sARXyBGz8TR/2aXoSZ2PhdyplH82oVS7dnJNGwns3Wwq4ROEk1ou2xlCtxi8gCFVQkQs3tH3Vg7BuUug6oVocuZJ7n5kMwWwTbd9Vm+aPD69HtIyn05NDetNABkOBidIY3PSxDhGFwntWLQpqbS9ossrqhDZqzG0tuU1bdJS+eJVWVnIcvgClnM4RjozM14KefeO8uDJo0ejjWs7lKEd6Y0f2tQLnhKd/07U2zmvdR7TbKM7iZvPgCeJvtnIGRqzsmJ08bLh6sgaBlCnNRm5kx7lRi+zdgke4uy5Q7hreAbNM6ZUw0NMRHv1o5YhNWrlZ/aX0C+x61bGmRQRedgAXmamHjDbaMZvtR6+ucs04ui4OPEDsXPGkONLD+7SYbWlAg9GAWBscqOFZiN3ht1nMzTRNBN3YtehC73SBQjsrEXKQOjgcfJvzFNpeATkIb9NLQakk81wcuVnKe/BAO0kTGtPagGrq4coPFp3GnW2oicbTGfhlaC7wYERX1w86yVPao/xSCyg9gllLu6eqfcuYL0OOMbC6rA0ZryJl2MsFDcXPgWtAoa+1HLxsqlKsU6cFFoUETFO4z+EIkTAbLqAjTUTGHl73QaNqcPW5A3CDg60pYfNYbpQWfxQslassjmXO1me37J5htECggDiOzVOvfP+826z6dzsMEhtEhSyRtbp/jyX00xeefe7qwF1jy3oDJ9rAZwrzqR6fnWet4mjVMnj7Qk8PJfO1Isg95CDhwAr4xN6NtUyiR9H3waaazivd6MXk1QHStjRTz9kkoBwmh0zV83n3WuoModd06Wqb8f0KP83+hJJuiAxDshELsFMHSJ2g/eRBFENgO0fCkl8GmeWKd2ehoGLudGaTFlRtFESI8+J6kABrTMbJEP2JRiZqRsNQvNaC1EpLowwKbFLzM2r+ukr0xG4ECviihUXjrvQI7DmmsjCrwi8zJUXA1POn9BLKRQy4CEB6WbfFht1hKtta+ZNmeNAnZtgR7nOUmEMoh4ZkKNqSHXI5196gOTt4BTYUeMX3d5pc4oHgtx0q6TZHEqi/V7UCE5yJhtNJlEqNSQpY3JjZzS36LsTDRN9dMmmnjMB8U4BvdY/8HjMTqxGkHQGukZaxRCyDSoOBzGjycmXOxBTJgTDXKNbBbkKIhC9voWEiaYoKc6pV1jCJU1SktSx7jkmJA+BJZUNyBopim4XZ1XP7IMUiEZqUstWAoflNmkLJGoHbDZME8SAwGK2MaefYcBM4PBlQeMN6S4UcPYoobD4H/I+NULibWtd6u0H3YImDrIV4BIeynTE6qsoy58oQRXN0DvPkUXtRPa9chHlhdWegpWx4iRaxAVzaBDAy9hI+nmt2g2pia9/6bI8HG+MYSNiDu37c/kCy15Qj7xSKBKrihKxmDsYyYRXFcgu2uYm6RKuqWsG8zPozJhdknRjnIUGWILVmd40Uz8FJ3Hil1leUOqiVGjkkLsHA2DK2RYnHpmv/d2CtAKhHe+Amh/OrOlyUpXJpRd761eczBfrncw8fTunw8TaKROS4OC1BlrqmUYyQGdkhe2R8q/xnx+FyybVrHhqZ6PvlpiL7KY3MznHUBw5wDMSAnkPhIXUm4eLxZY65Yrc0UslFrBW1D4YmqsAKromfUNzM4I3h8aSpFF+9HRodwhf6gBx4tcOOR95WqWu98UjqiGRtxHECpStfm2QBuISlLayBLNWcFtmt5/N5c9wGleq4rMCsbKvQ68reICcCDcQ2qEPvM7VT5nUbjdQNftRx5mRE/MRGtqjE6vp6eZTGOFqAK3QOcecpLMq+E6Z98kUAjn3tYDmV1lJ8ymZ8Ay9GAd0a+7CFEJBsXJyE8GO3sp5E5D59MqMxNFHmEZX5NMCsxC7qz8cNDFZspwyA9ktZS2NaRKNfsQAoKN7i7vIbRzK9CZOs3UmFR6T9x7s7we0v0kZTJFGJo5Fh+yZXJjBgFratfS90Xs+0cXDhw+WzZtjFmpNi9RaUeut0UMipoKjEpBcUVu9sSJqNzLdrGj8Gxk2QlaNBwZb53DmRwnkNEWh6JHMGWTtRC3hl9FZON61En12MlTkcpREpSnTPij5MjTqtqnImhntcmuugWoCkTx+o5c5WUoBU9IoSir2DUEYMYbA1Ht9Jyw48YtwQBBRJP2YO9XrISZgc25fDqIwugYwC0AKehJGllBrUsVgt9HtzGDm3wArg+iadMqR1mTIiJ5ZCgYPrTBjYryyfTCWLl1gsPqcdgE3ZXQF9u5kJxLBxdv0KygZBC4AuROI3pmU3GbeMMloQwPPWVw5GR2zGMOYwTs6BOQQPCMoAgzbOS2DevE8zBj1K533Hfskjg+L2Yz4RsJxULVDbG8Eol0g47nNUu6jzBrvhZjQP1aFyLuZb6LU6bBUmnUDOji5qmmr10NFbGod5I+2YaS7fVjBY7FSC2dL5Rka1G9VRU3Enqrw+F2Alq5OEp5Jm4jADiXFiNVO7X5SwHhwfLDYF0ZIGAy/TmyO5Z6xIHX4UUnMiiINyCgSWmEUEYjjHslRRh/J2yf9/lUt21D4vPkJU/E/W/yxKxK/7nXZvShOS0tya8mOOrR2Wpq6IqXWVfVLkHCPe4yy18fmIxF2DDmACevoUFNHIY3S0M7qEKuEp+9gw6fABb2pGX4b8PEdg/vtIls+d+Zu9UUmYmMBsbw8NTxhjojJTb+Y7zE8QDzmLpKxLEkv8KQl1cXS1o+GC9YXpX5cOmbQ2mRaKTC8D31tttcg2LWjXMoKgnbpDKJg9ohzbC6Ii4VRWr6bVOWSklOXQbDscD4CV2T0CZp0EYdWtSmHW7yyBwSih0+Thir2jFNcyKDObESnkx45YR6nIGY4qlOsbCoZ9FzTsCUeQxpAORnEPuyRpvO8sRIRuOAsSYY5URUAOq3OJY03ZQYR0FW4oeHj+BJD42ima24GFQeanTEIfduRcetSU5QuK6XBQVa0Hityz2NvZENSsibRU583jZskqcHK1IyndSidivKGUEYr/kjTxBkGWT6mX61Seg5ViUA6m+o17s+PdrtB93sWcCUqK1OGm1k0MIEYKbA212akPPwn47HZHCqMi/4hypLOQz4A+X9NpvP0ixadCadT66RTPkS/Z3I0xDe+TJNiTJ1tQLeFFMijjcCh2GKgEKXFcIY9P/ManINfPV5bdatTkzXcynieqRuROntNgc0f40Idc3fMd/e0P44yA2WpZkF6OJX0dSqRq8ho9PsA5o8TITcGU1bNS550ifGEqN8r35LiPp3bqGYkcY44cSyqoNhY3P6T3moCkuk4f7dgzlEAZnLeKImBp34oVkStxL1Are106Lk+wmn7pmZCxh5YC1GcT5pwcMFNDLbONI5OAofNdOtpohLki/WYEPLFcS4o3ea+R9B7F0eXP0rnbQcWcHemuRzWiDWvOxV8HiNbp77pgOygMeKUCNvPr7GCElEZS3+gBHK5zbt6FrfZuACwLVx/Dpn0CYALtYmKWIvlxDd5mA+Y/zEAzhtciNCLBY533ictnF46bW01CGhrejOIQNVtbFoffulM6nPp6cwxhyP9VLT/1bDFO1U8f0+fm4kTn0pUUy5cz6mdHzwxQH8x+Q5w9VE/zltKR5yUawSTgI5Wlphrd876NcmakbwsH2hohxalQ7d7AOp0Fkp0E4tn8kgIn16RxnrKVCITe6c8jw6CVnRENG/+TPHk32xuBApOnct8axlkJ1HbKgoNXHg4WxnjUj+eRARAy6O5XVJKHkCy0vao5YUN8IDGQRNxTOszBgwkfL2Mr9eE1P2yfltGIrcSe+jxVDNO0FuOtLB1coqdMQkm1xBYbWxajOjvHODVj9IlFcmSy61lUlrHs4/n6hH0io1O17V3m4HjJDtQUVsOuWapwyzV+kjvyQk1PW3PUatbLbHfEgTtl6ZpysBRZCgLFTzZ3l2EEJl0w4UScaCTksb3LF+0zo0AuEAjWsy42Dct5Ox1JeqZLJQrWU3n8MT4c85B4Sd3NhxS6gaif6mDJs6yipm6Dj67njhEVtlmTFvydF+JQAYy6tzCeYzWNgmaBeF5XP/xBrHErcNTIBUOZKLGzXxsjcxUo6cn66Qd+CbWiqpJrAisFv5kgYxQM5InSU3xtUaeBPika8OtMHLawyZE3TEStCGzvEcrY+oBY9/gcpu3OJMwNZpZRiHwdqk3LtTcCIca+Bi0jkcje2Fn003k0YYXZwv53/FOdb81kpzeq8XIQSC9aG8R2aKv6Twm0KkGCVyR2OJg2GiHjTQ2ma2ULdRn/KY/IVPJ8ohQWeScvMguIZwfq5ZTcrjR+S9mS44vhzOhlkJ7hkMqNlnGkekT0ZgqZODWC/109A1pQ79GyksXC7Rnkp+5PdmwB+TRjJ1yNfwKK4s0bXj8id5XPoFpGYMFSvh0eSQPRL3+nmOpZ55IGmY2Ec8GJgAgWL/8geMJffkHpvTvD9aYRIcEKwugAD9n4gMcv3+tPiV3lGkM0mNovm6mfmINhGbFKxrxeNmp1Z9tmOSmdxiPJxNc+KHYrnhcrOZbb4y0h7ER56TCfwjTTYPIcWsDuaMLUngYJ2Qmz3spLKrDJk4c0GzE+d4wMLGwzCrNL6LS1H28lmy09JPueeUwC7i3cl/Z/9vN2TuQ5ccKNUK9ZZX7uOALwxgEc3sZu12hyJ6qQrTnZDklC7pqJImsxXGkQmra82/Oz9AA0QOvHe5I8LieoG02bVaALh5KtIXiQifKfrYYhRo61gr1fznDNb7R0UVgA9dBlbfUN96IbLMNXkrj2mZIkB2t0nVROcBhTi3LGJ8JDDQSnn3PS13xoUFKQNd/kNWEjlNbaFGHYCT19B04UH+QFdZGC7ZJQQtSt81c6Ay+1JNU4XeRVW4XjjfY/SAJnPgHXRTZ7Kk4+kWFkpUxgI+OmFqT5p2CNJ09qnR1YEO3NRFkjj8Vc5FeagAkaXbOPs/gtrCxizsNhew/M7CSN3abqvQISvEE+5YFe/IMXHllKmgpxjiepGBXEnLTgJajuEvap65vJKxnunXEHi+yppWlWqjirJzF1Lg6CIMyc2b8Rfukv+12Xg8/UpnFITpABLJIcBFsRcXRsaIfiUoV4PQ1km4oJYo2toPmDYyHaAJKF9BhHXITimM+TbZ3SGnH82a0a2Ksy8DOAcCIlRIdEOF85H2gNjCJiG7UDy6wgbjb1ZMdSRA/J4gG8KrtlaODByiQzJIOMLNhxJg5Txng8UU1oa0OqaakRd940KyQGuaNC8YOF5mel8xDKmFnWrU4QVR2lfVyaYgTNBWHArVBkWsWBMAzqBHyoDJjSAr+caDfSJE7jz9Upu7QYg8hSAHSfFFWBtgPy6/T8hgh7Ly1UP+kWnWpf0NzCGgt2+Rn5F9N1zYGAk1PI3XAVRu1nQD2ZjKa3vQQQmJV2dQkRjSNaV9WE4Gp34E3UUrg3uQc7hmVhiMklhXdZR3me9uJElj0/gKltxoOaJF2gyg3xLKpnXQaCbBoU6qZk5h5Kpq5YCMYOW+EboaIut5EXGV527AzOxM5MOHgXG+u5SMcgpSWMnWW6BBAeaFEYpbnmcnjWG0VZrSsO7GVlJu3ascSo62sDUaswD+/CsjdEQPsEGQ9Z+LGN9VzWYU2ACw2xPPdODiEoz2Hr91CMVYppJw/vK9RuskR6c9Rn/OfAaqOk6gNJRqwBCK118HyuWrBDzrwTvzBsjf++dtw/APhPiUj0Rc2TI1r8NksbtYxDH3uRUGfAvVG+75kVefNBU+QcDXuYojLJmFIqa/TyJjzYGdXgWmfEKWPt+rFhUIxs/d8bDCVFJ6aAiMrg92HGAx5CxAnKchHzmRYUAX6dT4vGFSMn0jExhQgUm5QIX1z6hIsIQO4lUbzAT5AWBTFQa04Lg+SxIUuDRgt+4HMhhOco7RnzJHJFQjHo4JFRIoKD7BDSKhstztSt/uGaILnF/1CwlVdQBn0whKJfFGFfOJjAeTtjWC4QsWR6vFaCZHGTatMgZDcuvaHZgiP43kPEKDxYdxwCpv6m9shNXJHsTjnc9BveG2j6HHBGGw1wwkHR8vKBc/2r8DoLNmOD/0J8kyyR9gYQu8QLRCO5Wqqh1LyMwamOj6DT8hvqnm4bgjwPEOellYbrKCDTkwHjc6oZYkiMkdMgqFzKCLoO/qUTcI0KtLIPg1ROV9LynASwt35oOO9p7mZUpA6cB4vZuHoVVQSfcqBT1GbkdXH9FEsbFJ6QBZ7cgimFJyx56tsmE9Ukz4F3YdD28f4j+k73AtlYp4ZgpkqS0IHoSVunAFpQsBIJfem8cNK9s/6D8J9u564WrJt3nrTEujIPpwzzudMeE6SzKkbPXgSLgAWp/IURaVlzU6mNW8zOnp/fHywWXi5fOuzyQfPaQit8X7YgDwbpS2IebIzVfWIzhSKrtxIusZTzgd/XHlGNh2+OGa8fW4MIHF7THvn3ug7uUNT8KzjtC5/o4bN1U2npTL0bPGLHphC3Hrh9CTDyDckTODO3EfksiMfZwX0oy1OBJRafQVnVXSm9BFFyClGi/7wZAiufKPm3y0SbhORZHEom9bzZH7dHMEKec1AYkSgXVCr7VOkUPlBReMValS6xac0nJzRHzpJ0M75vR8ccoyX3matK7EH8Z6aR+B7fvx4QgwPg+SxXL60gscQS1CyHS5eMgnMyQMKG9v67eByjsxIvN6Ae5pWYtBdMKC34wTphOmVJ6AgwRPseD10Q5hmODnmGtsh8GMsyfzZdezWVeas2zxv+llRN+gZ14ZXSXmt0dG/MLfhAJyS2d3D5nG4XVvWlq+Djk2g5ptCjBZ0oGlLqhAGHkCXD0mYXoj4LHD3vVIRWEs5z+w4kBZsEiclBHGoHGnQd8lU1tX0IgW9Jq6Wqps9xNSzbG1POV+YTZklgh7phuQpM28ovdPPLKzonTbQTWHVZuTiSBQ58UF5NEmmEVJI+paRflPrgYheIUnpv/efu9HkASrIVUdopZ8sEonMpeGI/nxh2Jw7eZ1T317e/Ai+QvlsMay2KAkSkqPqbEKZCF42YSwVrX7GArRq6Wk9tMBEwAQ9MnPgZcIjECdUkqjB15hGCxJE7kL9kHULX5/KovFwUUXOZ0nWCT8OSnRzxVvuX+BZFD7NfstBRQ80immgUvW3kn/WJjpdFNYSpQREdRzWrboKypFIoUHF4xPJgUZyUk9IkqBOS2z5ow44SFN6I+3Z1JukJJylnF7QUM877TWYcIPyS6aUzg4XaQAEESU+FJdHHUiQ2jWNgn5zZiutFSLIKL1hEBhn0Dcp0dpDB4G6+MJlTckHcug3tYV3ugHR90K2uTxir4KqqcQbL0AqCc4anEuqos9LqErQXCtDmWIr0tUCUwLvgF5Pi/avX6auqrGckxtJzIGn+SHCtusa+cg/tGo98qtq2KoBCcTR7vH4QxXFqkMk7dUMIGcBIJg9SZAtZMJjSOT5udNYqV3ZSb2jX4+Dp9USpkASQxhA2n0qP4ghYlscj5xk4BAWRfQYM59ilYbUbrU/c2/cjNF/XaRb8cRtu9H9ZDyBm8+dwQyVyEngRGnYCvDKyPf5Hi8aFJ5/jrenQ6ua0w1nMGLlDKVQ4WNC1hmYVQwjVgSQg0SP8baLFlq5pJHm7GAM10391KnVGPJKTLIOfdvlwgpEcvAraI7Bi4ATeQOZWWvsTYszia9uFc4eYUH9MRK0iugT7szpyTDuqo44j0i53N1gBm5knxVGbxr0b5Uys+URTd7U0doYI8wZTYIfidVVvJChwhz31jQ+zrAe0Jvs9Q9mGgAL8QqLTW7eZNOacvjXC6sqFj+ILwT1wJ0I3kx8plj7iRtl23LeNFqqwwf2sNCKl5mBw8JwkuGUGFCnH8Z3+3je8fypZcfUguSgTaZs0et/Wo1GRkNSYiU9z3ETFWw3ruQQ6YCubukNTw72TZ14KEd5Z5oppLVvq0lSHCC45JD3eIr/5wdLowMHbpAj0zNqDbPmom8rUco4KvfNITNJkFmXpXsk325Xn7gENQ0al5NkipKp/B1OtP/VV2PYOIkGFg6F/KQ0iQyKoGTp8KVIkjZvhuPtPDKra5Er+D8iL6k8E4da70Qb58msjk6yI9e1Jt7TBSKSaY0gUxzVA/aOSnWHaB2i4N4jmWAiA+eS9c6fGOx4rfEMP03Jn01h4DoOJQ+ZiEO5SP3VfAoWoFp0xjdHy0PIrHEi8voFbIQfvMROp6fZJQ3OXpVlIMPcnPTcRHHD0pwJzfQGxyUQpJIZ6+dX2pDrS1eMa8vLUL8oY/mq3MqIHCBi0hYzUAF81GmSFDBlSYvgJwYqVzMx9lw8SWmh0jrlm4oHVixhaGdeApPky8QmvwHoQPTa7+z4KARbRduMiHv3QD0dhr1irQxk3BOYA9wiCWAKfNP1xMyRY2O47xDjI0ThV6Xx20waoFMCInpJZFSyT+5b1A2gxOgNVTK5YMgxBBgfR0ebsihWtf5YwrMUOOCAAskib5MlUVZt8HysMzSZqkcXiZvz1Mi7Ga1q08DOOUAT1ectpaGspazDXKqA+YbqIaZhOSPR5UVOhPWEIeWRwA7M/jKah5oK7TXBqcP8pZybJyehPV1sCXzqB8VXEkjg/ZqnJB6trcbIB4hwYtxR0Q9ww3ETZ40v9BxJa/RzcODKkchewMTHiUfekEToIvcsnwUq5WlMzGBA3DIMSzPdPwxx3tZ6PastWPPPRSMnAQaygr3LcNwcXUlXHauUXPktqNCab15WmAYg6CJMnzCfqtklw5N+CEBi1RWmrl1AYt990fNC30RTI5wI5qdSYA1pRMJoKU+s1xgvYAWdWVIth3YX7wFoFdtOmIOofSbHM9odzpqIni8WPi7qqhahuo1O3XNOtQS/jY05MO0QBHW5gTowKvoFnPLYy3QdwgBwQQ7JDfKJp8aB7LaNbltcfpxPhTqJaHwTjbkTMm74bWyAMXLmFhTb/mvaY33tW93tgFwZdQoxbwE9BtDN1dSLKbtmiCFsAn4yFYf+EvqL1OYITB74tAR6nCP2JZWNsipwTHQpqwJqrazyPyh/jh0wOW+XL+dxdxjH2zpsyMGWPJpOUBV71RxoSjRRthZ9gH9EJ59puByqD4/MENELBaUlnfF+onxCD7hQoFeHpsVAYoCZ1ZBQTnmkhZ5mcAzUQm7IuyfcNOBI67ttC704qMkKkzsheaCL4Aqb2fKhsCjcaJBXwUJvoCM4+moHcvLzsP5THQ3jwxSMksl1HMFwKNWIcYJ7/YbgwmWFnQfzWhF5LKG126N3vcdo2TQQIoFp0fHAQKoYGWDoFZKA2ZN/TCrUP4WMqWcZ/SGcTSLOYaBtaksrIcgYLtUqZ5ygmx14+UPQSglKRXUJkSzVW4jqAeCFnHOLXCjPr0ON+YEOJqFqwYx82KKnSsMW56Iz0pPyoC4NwQib03Vd/pyiBpkelk20sI4yWU1Tkbzg780bRgxdawwmW+RlLN2c0NWW7HQ73bInGolRhO4Cg5mCqiS2vCL9dYIVFBDtcQ0qIqPseWaiqZsT1dfnihA6f7Ra/NhnMVZc8ASR2k1pGiRdXYSSWNO5pIwzT9oe+mGNp6pJRNLZ8w4uE9vEkO1UcTcXR+qRHVFOFgzTwy5bU7sDBsKt0snyTxtdddJOEyfzSm3rQWpCRkMpB5k0HgIRWQl9RxGbg0oIzaPDh6IO6m29O4CsP7BI3BR90/8Aan29zJXRWvjV6kLfvnEzakvsUTRI1RL4ai3eQehSkprhro+nhzbp9fLGXomIl41m+CZqcAYxC0Qbs9Cr+MaDruWUvSrnUGO1Y0IK62h+F6fcZogxm1MQ4qwgVgbAohipMA1Gvc2ZmrUNn3jlj1C1bRtFS1NEZLtgWpEvZY42Lo8Zn7+4mX+W/n8g13xrb01vrHc56ilkPtRWawjfWJJD6qC2txiH7cJNYGeX+cLfzB+H3YZz81jlOoNLnF+q3cFW0FDZ2giUOF/8QEpl3ZU0NSGRQMdoCd6iViBjJQJamqz4lMbusFIqijqdGiT9M4EbF+5IHcmhAmXmJ+EhvDWl9KBXGPWDAV/MZ5RtgbiKsJbJssE+srSVQ5x9YKJ7CsWM2OL5WVs4zG7HCnUMIxLIuQghO0nIDmv6ddvTMc5AGTVLh0RvAc5uLdu3LYLzPPpXCtlO3OBIOywc6eELtKs0gvNgPzy3XsPsDFkRB/UOY2Hqxu9l3Hr+QaNYA9SbB+qGpQ56UckphU5BB26LUd21VEyjH3OShvkYdxxsVjDveih6/1BoOX96yzZJEaYlfk2kAqVMRxj50JA3e1z+Rrg3mN1mHJEyeuJ06+n1HrOTvaFwUdXbATv0sq3ABIXSeItUTwTj4LpyohhFrlq4sUrGCjGcGKGTLFAAjPSShpj8WAxOeWM5rdIbOfanlO9kkqoj8Lt44z6H50bYP9SMfdJdOn4lH2mCjCw796Ltb8/q3czVISD9ROTJAkONwYRU6WDEQRaL5AV7nyH25NP3Y45mOFLIR+mjM4LbvD0XOeIYfYmC3qdo8u71kU6g8kTjh+gvhlP05Y7A5R+/4vxVxkmUXnjSFKlDkY4/hYDkwGl+8LYqQpJaJOVdKhGzNLgEgKvb2wnnj+9jjbP50197dPw+8WM+CV22O0MdX8yPan205Er2MyU0gT4Do9glo+WLtNMmZWym3pRlng1cj8ceI7Al1zhscX/0JiuGplNvbPrz3ySmJ5jyKL7toOkJb+5Q4hirV+PZ/hfTKFjXXlnM57xnWPR2fiwXZYFaHGKpGM7dolZtZ9NRNIy5EHJAwyQszVnqh3wc8RRaWBhRRN7txmTO0S824orJOlHRya7dd8nozAb7iuMHAVn9cEW5951fQLsvr038Co6qaWRn6Sbxc+xV0OyBe4P0n0F/YeC0acR9W4QwY6ftNF4c/KY9D6FrY71eyPErgIy6fWeZtXh2qVFkD13+CWPodjDNJGSuxPZZkCfbsVGSc0Z4qRcs6D2GY06j0SqoeFZOPWn4LnW12qUW45xQ8BjRpJz410r1+ls1cHU1rkHnKkugIzcvcFZHbojTumnyOn3kRnV/jZxaHAAcSZJyw3YqxE8KUQB7G7wHu0uJ8jHEsQzyOisa3CFGxEmPFDmyh6VaRlfnk+cB1alNJ4qxDSmsHJrc2ZGdHD2FQ87qdtL0ua1cGd/xUKle0DLz37G4xX2frU9b036SNZ1JEpvk557Z1sAj9aGhc/79ekQnilOgkZw3F/HQ4+/VmcFL2CSIpKwEs/0oaQvZQ7gIzRF8ugkTQGTEohq7bzCFBXFk2h0wQoKZahc1Zv4Yu8Ij7VOvxUF1VzkTGa4DBLL/Z8ZAPujTiW5F6v5CpDlt5U+IcQLT4NfxTlhzDveiTxPe4O+JXWGq1X8/JzdSxvFIxFnLDzOuYhr3hs6o1WZVWnJTuvcJXjJyT+KYmDV0dmXRUGvkrOS7WbCzJ5aT7G/3uMHMy0nMhFcnYn8Atd2cNJZ0aHPDHEN6yLLPnNi5jWn9djBzUvgV80syn5Qzu+57N+lyRm70Mx3tpUgMzsLGmcOdkZNg3nAUwIJst8usGeQ8j7namtH7gY85nGSbolhKQeMUgFJ1eE2nlSyaYgq2OdSmx4vdWPRhdOTICL7EWsoVMfJwp4epbYDW2egPyp2PT8SnJO3GagYP21vCL06z6IuJD0boh4BR+PrPYezMPAJ9KOg5PJ6XWuHWrGFLGhAXnCeKHUsoSAuniYxqkOXjEXjLD8k8iWeT+HEcoHg5OD60KM6hHdmuliprrrLEO3ZVuLa23xDtFns7cuhsM4YYzT+DjINgkt5D/bCuwKqbBJBVJt6ZqmI7nd4lkJQ3NXxU5k4qd/GDzH5crkm4V5JBHQT/7YxL4W+ONDaNy0vyYOK/Gn2cLK8WRhjh9C6LtGKESjMOPY4cijTW2rqpgFKcLpzgq176t1tbR3pPWh5I8/ahvVfyqPIZKj54ud9HQJjXiFkG7NkESqBylZNdq3b3TAz9tqlKHmJi0N1aOxQ/fGObYiSDOk6Vhk0amDDVHeWvMEcpby90nRKUUSFFvBH8Ef4eXbz/yFEUA7QMQoUq6iDpM2ghco23FYMjpHUQtFvKuqXUGe3WkeaXfQjxYU681FsuDl+QPD6huE1HiNSRib1Z+GOetPf2jcgNoYMsP1T0UCyJ4YH7/KW1lGPun9rt2pMIGq45DJ+qE2emouno/Jf18VoSK56nkBztgAyTknEUfb/GjEkFmGPNiqzLEfJ4ACzeaaTs38nq2a0UzQ6+KmIbB34Wc1ENs7NaGKe+QASq+p7UIHeoUat1LyiPSZCJrPXODZz1o2oOjMJrLv3vawwQ55CkgfIFCGzHIRPD6Kuvxk9J+tJFrN2qK/mS3KWxQVkOOaz9WHp39UMf4gNJAknowjbkw5HHoMNuih3z/sl5pu6j105oztDIQwxKwQuZ21AxoqXCjrXF53uAlh6pf1bdak4c01XskExapjKOnjLnBM2BcclTALzKkJTp3FMey7flq8WYB4ltjUMwl9h34UelEWwzVlM9KZ5tAbsBbu9h0EaizKHBPbGGXEVeRO/5e3R6P++EzjGNRs9uVJjyVmoYUU3svvWNCOdWpwRQEVf7Bm8oD0Y7rGPrSGilqITgtG8TMLJlYLeiNeQrAqbGkSj2dZYgg2dbaCmcYNLTw6Rmr/jpP5OkbJkOTDK+YpCeXbw5SrqyLtHBNLQKSsIbvYZfCNFonylStV+Tjl8AHjcY6burA2r00Tu5D4MeyPDTewKJ3Nh7594fr6VaebXzNJ3Do5ZE9XtAZXsyOqTq4Pg0w5FjCASShX7G1kOcgkvdWENCWXKpithcNoRCkw9qBY5xkRf/+HVQ+aStPZPyneP5gIWJBBsONkq2ZoKZvbknELZ+LxlozYPhGM8TQA6etZxn4FrJlfx3HUeRG8iLmazezVCrpIIohlHU4LndoeMNTyg4aRFmPXyFqEFs3qwpjHtnOWip1Enn+URGrZeSzEa6LDzZUfgspX43qYFELncOvZ/o/6/YOSqdNqQGXcOpRPB2Y03EnDi3UcOgs88E6sqZCGClKjz5rIwau+VRjE6yjxi00ZDIgtGmmqCUNomuaXMNMBsTLCSWKX3POQBV4mzTG3idfwtiap62B5lTQ2zJizNJP1w8Ek1BXFVMxQbBhgXKDzfErR7auX0iAi++mSjthylT/GRQOA1HSubVZLZbmlMQxsBCRaORlsyfoCqmXRq0c3gmHPLYRumc1IPZgtO3DtPcm2MQTxvLl53ABqDvMzn4fNDPKsudwe8wo2nKsc+KM3pDctCcFtAtSOWNq1cJeyuEbf/qxL7yQZ1WrxaC9D9mbWbnuBj0Sc+ZF1F+lLStxjyZIq+i5pYgC1/J3ZmXYASN8sAs0DGR2YFgWK5lUL00gJ+BAXch6NC3+5eWRExQmYdWDfaEWVWPlB+xhRyrZDx40FtEUquudD8QHSLtCPzo2oloAWT+cPB0uJgPjaQf0/SkuVkriDpZfMUVl5/43OFr9n/61M+/sG94xA/1pRsppHsPATfKPP/Ylma/NXt+oB5G2poC/WyPaw9ZHz6hBi5ZeXR1dNh0k7SaPTgs6GOWAyI9N8z5Sfmc0zTSf96BpavQ5qCTmAffXm0ksBJepy7z5sJSzH3s6Qg1JFpA8F6wNyDHOfR3fEbTyHMR/eRILI2h8pjzLUlpZVfQ6tF79x4qUn3s0C0W7a6CQ6gFo3ZMTF1BXw3ziOwmbZF67ZGw4aDQOaDukygsMesUwu5E0uiRJZ3Z2+kxn+ZM7vxz5fOD6iw6yarqoDpF+QC0IyKh+BLPGUZ7GIOO+iXEtT5pJsCbgGOU+GfQI+68YthOH+hUpaLkQ7Y6YD/tUMMllyGphUfP4+eImv2nKll1I1zVPStMlAmiZZr8U8j0O5oZodtBYJK+/QPlgvXKqczVy8aELz3CMjw5Rm+6zqAl0vkvBFHTDj56RnD8sL9HMC8f/tbYZvNfIQs4FZv+ejiIAdSKI0hVOO0Ye+7dBl/jH+WQVjRT+yl37kRunQWEZm2OtasfWgUcyBJEkHOsGpsoL2ns12WjsyYARGAhUh5HCZEpNq1pA0af9JKV2dkIHe/Ai/fqAIv+h/2SBTXlGnowPGwNseFT0tJGbccizSTtrdS61HZdE+gbv5k6IpJiQtbBjnp8WCpxsR5TUj8y0zBgIDLtc0PVzcq/8OXpXk0Gy/QpEbv1Rg0X6E6pgnlGLIpnOIHUR//xdfqQ/GbZn2wwmGkGsdVQQO/TJjPwO1qdztMbFH1GpMmGsUwEOwYv027MSCnP4brQn09hJRjhpJRJBJ5B5aSAK3yJeczJeOIFX8+pOSSnLCadBD9szTRK6X3T9KP3h+g8SmPHwBpFTlFj22UEBMU0G0Kx5kEa61SNK1DjQu02KgVbJPKZxzRw0ZR8LmzgoEpDmC3Ep6UworSAxDQApt7CGxL04UhU10xYaMtMrOzMywzNB9BK5uKmyar2cKgfOptBNUHVdZUPoTyn9youuPIy70JDMcwnBh1DrjZymCCsbDAagZOseqUEJz0N/Qyp37ThIezZKbyRMUTw1no96ZiRj1YeuvZ+g1GCPirJl51TGPAqID4YU1EGMrVFPxvN4s3IwBDIEANCFCJo5Z4zIo7NaDUnu1BZjXtBV6WBTNy7dxqn9FMzGSw9ISQB3onNRjm8nFzFXLzjRGSJDcdnRE9X1McT9vUOW3R0SYUfG+FImwNv2JreT80gmOcMTlDUdmiV2gzKVHkxWgduCowSYItIcRqUn0VcXfDp9/mlHpmfjJ6WJUw5LvUXVXJNtzNrL/pEx3t3kMQFXVr9QtRT73uGEoFrIbjtRdg9xJfg+amXWi4zZBASeTqaDxTsMDSp/VJ+RbbjypNqpFj+KHsyHiqwxFsj1bx35J5Dd0EPEwMTIDuHa7Q54+sVKnL3zEMjf0oyH18dSKJ9wiSEpXIlADJyLXf+Q1QdCh7Z11aWsiOcqGghjE9/uv502JkShjrc4OwtFfWw8SRtA2Hmh7TOUR430T40S8xN4cBZWQ5mBNLSohwl1Y4cxImvQ7a3U13MIvnbZoT8fbFcDQR4WYy/3/lwjeDo4W3ynAhRzP7pIDp9uONNdV5Irc2T4dZWayQe0zzsBmy4Eo+REVNRH89MeN6KmdJ81VgCXPWy6dMpZbE1CIulNaYkhbr3JB2qaEAIY2eWqOjtDEzHtQa82aw3z1P08r3F0vJ4WKShiZVYzGbUZ3v0RkCSEkePqx4I650NDhwpJkVgJtikh9CkH7QkSwXuHGX79kWPPFDFRjmu50vOifjC3SHjJK/Iyra1MJrJ6HY6F4DkKWukS2/nOSyKjE0OtA+EFaOEX5NYMVKEjIJa1oIRhM8HvEEHzDyMe0F5GUaM7DgUpB5DljgG1Tj07UCItLDzAEEoXBtRoaT0MrIAbTBnmtpj1c8PQLKDweYmBloqPNsXnAWTUcofRU75+lCLmH5TDAMQWI8Y/IEsSTihsAlNE7FC49PrtEwRJ0tmbi3snJSvp5CCMC8vFtr00ymXyH17Zk0HjcNA/BDNKbroW+FXuWC1ZwSndTxRap9S1o5PS+XMljrFW84a8CiuFeyM8hizRvttIoNrxilZDFAx+sccMbJ7qNmVa1Y11fJEucrZg9FezDO9aZiKtsWWEpyGy0+gVLqVVCBczbxmPORQl6g2T8JVCYIIIHER0SkoSpJrRcusWHtOhO/C4rV8/jlIGn/8/Wf9ObU6ikAgEvUYQhtd4nz5aNk8OQFYUgeC9w0yg7sNFLtzbzRmMK5D8+85ipx/E6rZTpD2HGwn/T2mAGHglBYJoT8p3XRcf/86Kh3UJoAnC2cTtqa6duvrcQ8xX9nbvJVz1E6SfPuzSZoB8pMetp9txv3G5KwsPf/orocZUKQJdLa/ENFaAYXM8ZhQRQ/jMBl386DxcH88g4i6jxIbWCthhaymr6gQx0zfKNEjn7+2TFCbbSzvJ6e43B2fJ5BHbV+5lIiYa+RK8dZPMv6wweegrWFh52Epw+wSAq9elphghqCLgeolxu8p033Y1yMy0E8BzDkFGlLWbOWA61PDXz4/BZYId0KPvp7zNWIiJXjPxyfjNrBS38q9HTMah8S0/ocIwoW7B0zA3I2DHFMRE/X0Jxxf+ZiUgZ/+OYRC9fFTN/Lxuw2DhaoHYWPyFsaTN9DU2PS6Q8+AeL5prM/ybLSrK/10CuEZ00+CGQQYezsDE4lIdqwVCCYeOmkrPBT2ZrG+1adEvuLprsopRsaIyyS5+yZubgdS4fpJizxnMRo3KpDxJJTLAsU4AEQdJaulI/b8I21qrrm7fqbI/5RuzaJp8mblGT/rET7eZNDOhGmIxmBynTSLkdWY6VO8rBSGcWq4oPRV66n9InARIewc2Nmt+SiR9ZZr8sepl/5TArxtIc92TjhPEplG7kj7QCKm5A2DLEN2FjJrV4EdGB9btskHKjm6+vjhaBqorhwMo9+ScvyZjz3nPrjxBO2zjadu8aQFbyoQvlla7VmDKR66vvRHU7o7x14IYXs4fWFRPpFQP2xExtRJFlLXBcKOwnoe6vbPX04hzdGFikklH/n5dVAmlnBWMmTmphfHHfqeyMA1pqM2xfCk9/GGuO6LbnHD6tReJ4AwMxgmJPPMGw0Gc+2T8FgkNfk8WNo3Vjl/84lhqcSH+gr9+jB8x7Baj+tYclHRbTWA1amb0iAOkbAjpbVOkmwm5oksweFzDIWvYywCAF77e8jF/VNZY5H6BWKxlDL2tRncXS3G4F2riSDUdmqBjzIek6lHm7Sx2YkALgTXKhdMj+0wNvNFANypoqY2BZhydcJrHSxlILXqfe5vAFKXqqb1yKh9tOnOxsdDw0fMHlgdI2NacNHIPcMbJrp88S7VfssGtvx651KPIw82pE7PGPFrmciJoP2iYMFS2+B4J9kRqbU4Kau2EYrbfwQyCvlJ4fOveljqORIQJ8kD7QbNWHAQgm5obZuqOdw+p1HJshexkIuftecRItLcgFDwVMLTutPxDNdB18nsOjnLtg7P7IposVUmFcWpL4B2+qXQeR3z64geXFg2OS0gNlVq9bYirSmVPg81rKzVfnvHVo6yyl83SA0CKelkYrsALPf5mlRaAdnC21A4b/ZtfCSIxOqFTTGQqMe80R9NbZkJuJqwQSi5XyGposU0yyS1ntaIX+RPEHUEVXhIN4cxFNTvef6dERP3vj91KEf+i/YRdnbo1EKaQaO9snGzFLgbTMxc8jnEA3QNwOGvw5ht+PUYu2oYA0zA5HFjngPQ8SHxy6SPz52tG28GPOc9azyop5L9SSmZp0v8Oub7hmfPDyIdrJ2oDyQ9POrmwBGAnbZHMWtoq8DR9YhE+eMNCdXvDpSjgYze6xEjSNFS2xiX+o/Dp3GhKzYiIlPHcifI+CTxXCwOsTHEN4UgePV/3UtG3aA6dywocz0HREgDu7xSg+jmuohbkOc+7uKCL1MsSmiC6CYoMtZEunaq29lEweG7/6hJv/ReXAOeTTNxE4dlln4eqyiOr9CQo66Qy7rp7xysTeIBR+sYpLcrperXD58Z3a2Z6kDkcgmiRQSgbaQRiMgj93zqWnCX+zsipT2f1FZToTMFxrHZBFL/YhKt+m2yU09ksikjkUe7Mb/bEpAfSfpDy3Sk7dOfwJHiEVbqaDzj4y14CwMEOornfUhOX2nto5h95HlImGDqyghCunEoZqcHUYeylUG7aBPKAcl1ZVwRKzqJvDp31jkxnlTRaEMQA8CEEbZi2H5x6XiO0X7YxJNFAMVfPcbjyS5/NX05CWpqBciZwA1tkCoZu+6MKgov1LpdRC4doOEjwaneOTmFblBp4vqlTyJrn2dIPGvoHnjxtB7stee8IjJzoxcujglQDj6AXp2/2gF+CPr8mjxsB22/OIZw98R8NbuqIIKH3XD5huSotq6a7cE5J1bVuElC+JXkvUmkaLJLgcllPiamj7vbYsTSxFLokdb/9FLPRovjRGr2lGrEb4pWR9DIc+1mekyp1wVh2cWDnt/QR2AxaYJTDoZtFMhRb/NPQv/y8mJOjQE233dFMrPWes8JNUOWeSUz9wJSPBqZJ8ys9YwzU5msmRQZE/zWHmZI7jGQnhPmTY1mMv294M064MlRaOv8Sly8sheNSiMVbCyDcVzdihQR0Td+746FdtvB3ToiPu8Rmhl5Th8lGOH+bIyQ8AZgQTIX6RXN98Z91zD4SSI3opJ6V7u5c/mu+jtZcRiwMU4z6EjeLV6s0VXkh3mahJKitG50lEWumvpiIPSA+nbIMgOvAq+l04imKnS8Nh++4aYmRV65hcaZ/p6UJHWk5XqH/twzLfL04BmrlH/pnTuuUyad/d0HexOycmGEHlI7Of9yJqpV1dBbxRRIqSGbOZVN6VZMNq+KNykMFIVKUdDfIMubTlNnucJ6bwFGACKXfssp2NW8ksCf8A3YKeIy7iE25dH9kJ7YA/siYGYhZSDX/GEePWJnb0TME1bnc24+EJeZRhtlMWIYMXKtCj2lrmUsgEhcgSsa1xConSciDrLPreGhn/CO+ti0UmoK4Ey4eaG21G7aEbCkqTOfprnHO0VACWzNvfar7j52CJv/5S7Hq+m4gFxagJVk9Yi7CF2al21cD8vSIErz1AkZccFuCHWTPMM1lRlt9pz+4AAj/4rzA1h4IZpJjQ9uEYauHOgbfpmSnhfRo8wSRmFctp3s51/wjCJNqxx0jsnro0eYATmgatpRrPSfB5xqKA+74D/+MP8fP6M0tAqOk5kjlA+KPO1WqqGnRXFjMsofbir4uNgZrR+h8wzfaZzG93jMi0RLwubR9/EbJrUJoK8OmhzrIxZ0zD2njv1Mg46nNYipNygXGWnZcBLnaJ+TzYhMT81czCzULbwXYgVWRHb+eSVYgLU5xFzHfPTAklIjG5VRFg849sSdygNC4gP4+GM5TfthUwiCG/vG/sb3d2b9vLMgrLe6XFiJ2HhduBfW1ZG+CCV+caHGOYAUzVi0BVCZKGaTKVA0GQFux4s8PiU4SfJktE7cIODXPZha0aRt3hN1vaXPKY/em/Ba6tXi37YPrG5Npb5Yz4tnHqunRKJJ/xDB0T3W6DUnib4ILb9OSmgPlNXM4/OxgYLS0eKZcQ/1wJFHQa9pJq64aXxbLXE0hw5iDZmnl0ZCnKvI2E7aZ3PmGgTIaSUrTp4eIOJp2hsa0po7LWHneqdIMgNymjziSM+XaBoJGm493ALrCu7XbYAGNmzMosNB3X/4ZZJH7GEFcoHp/IhA8ghi2yVq0CuyngJCNgwOUXPnsXOtUbYmnkiICShn8KM8Nf2YudQPXlxmEg2ELdw39p37xlZEGe2Z5p2rDl4C9orO9pEPb7AAGqKcycLctWgtjYNOHJ3sC1m3pyaG4asjl2GX/TuCJXf81S2bYz+KYTFrhIFxjtFLEq6YpqGyeBDeaFofzCuQGSNY4hrvAQaiQ/hupD7R9R/6Gvzi72lHu7jOholLkuQ5lFC0yKG4SfcYGCJLphK0lL5OvA3djfEBlsYkFo7QzNT08wqP3xKWNp/geATEdSt5Gw+BdiK5rKJ2agudKRVpDDt0NTXzCi8fTATMGwTyB38LqYw+nz3TWBATU4LWCYR4bw2cuGxdGdmgQItJ8wL1biFlhkNg48pZAlwpkuw7E53sOfXHGkKCO/5SURfvYmW2CEBOFrgHmbMvBxrRspzCU5iMGGNH2gxhb+Sd+xvf37i/cd+5v+h3XoiVC3FRZOOFtYFVt2VXRUODGIls0nZeLp9kOlSE5rPotgadk3ZKEx9xG3PiBM63X60Wg0TiRUywsR7t2LNZytTHKz3LXHN8YSNX2GLJMS/nEH2Mi0BdZ+OmajIE6SPRfjbSH2z2sOYhn05J0QCrGL9hAmZWoMHmzTQcD8YoJYf5lC/+UMYgKPiPxM7xZX86phon2fUx+y+dvFX+NkSC6F0PacqhJmIo6WQ4VMZ6fdAkbHePboF57nzKCUV/aI8AHH2MhGxJPOsEbhIPehkiE34JwQbzg5517X0io4Fk5pU9hk545tNITt8zv7IcYiq1g1SWNCVWnbYcz7YwN1D3Jz1zt6NQS3m+nIn73t9fuL/w51+4vzuoLOKu5HWWWYs5YyPuhUVAmUUcEgDTAC0UexdMJUwJT3kKdnDa5Z9xU/1x6PUhc48uCCAmqAmgvLA0xpBVpWKzuGcEtf53rsUZpWbFJe2vJPP4G3nSxdpR7FJB5wHDj2RN/3wcgGUye3oIkqKcH/k59TppdgEZTnnHE+LYKJ6IegaiENE55Kl29e+0PKMh/sKbWob9OxMbKdE8msGqbqn2YPQdJXH2tDwYNjxE9pQHqCSAssZ09UaLzWxOVeaY0HCK8iHwbe9ZKGa0hMm5AcsjddOeTIYTkQ5wdEtjv/TeITnNVo4u5JG0svf4JBsVvOjMSwp8HUQVKQkcRWHOgOKG4aswP8Z1m4lNyaTxKzfuG/eN7+/8/sMo8k6bOXA3/dKu4z4xUqRkHZuBtdbWH5vUqMMKZmuDegCTCG0B0ykSHHFPs5djmDK1rqb6GiYqP9HXf8jnRTIPkkgd9SU5s9pWafehTIMtttQiRWb/qr+uIzfh/EzqIHV2OP38yvPzmDW5BKCHhrBZmxVh+RigfXN1ZUsDG6P3FDAvkFGTLN31iHYd5R9/OSDeHTcjzjweSHQ5n4kwDvtM4QeL196gN0Sjlng/7Dz7keFdEoijD1cwTTj0jakcXyv37F29nBl5RHQqR++9bWxvOT5aj0AgF/JKNkM7crZmsmLp1DxY1oYmICiYETROSXSTJisBzMordJtxvGzThNXK7RHjVKBLXmImg7Yd99f++sL33/j7D77/xt//C3lnLdKPwLU6YCzG5IW9ZnX+dBez4L2T3iYwmgScQb2cKMU4eUszhzYUCQDbDuGAN0rM0ll+LslBfMk6W3cj8LJxENZa2qq6mtjuh9k9cfJRlGkd0DAQE7yHuC88aQvejWT9iRbxBAAzETo2Tuu4OLxyMpbUjvrWGHUqBJA49wQ9IJmKnlRo9Pkf8UBYZQwHxNlJsrMQsMkSZG82EfANE8gtH8/Baw7ciwM5glVSO9nJFQTREEHbqLZ04w3aaa/ayqdxjuRJPCQVaVsEDPejwhZNrMhP1PfmTiIOssvqTqlB9O9zxUm9blLHlK/e+pJMkPmYWzBUgkpEMp0FJwjMjzsZ4mxV/E7MZi6kBx3mBVAhKSXm5z9LqPVu/9uiV/Kavdgsc0fe2F/YX/n1lV9/8P2V99fO78yNANZCLqByXTuxBvuGMSaEVE+QOPYcD+nFgxmJnTc6RmNOwQp67U2WYyeTHCOAzY3oQjb9v+mnn0vuDE+8aD4MNFDhI3eaRYrPHt22m5at47ISbwZM+IVpXnhJ9VNhCNPGk4VwWWC7D4PPEVp6W4p9frUshahUjYyHQJFNBDM74/UeDXG+b8WFVlZZIiKXv+ktnR9Q6jWPOB5LMDF9dDuZVOZ/2Y4pndRh4ljVxo/F+dkBnBgmbvl3du0XQDgnkxxxQcRPP2uWPS4v3Z7ixOEY1/lnwgddByB6PVHiwT8zbK0YU8h5cFNcfH4Vdc4C48jfUQjj6Ewj3AA4TUwQ5zO2iEBwVe9QLTfyxr5xf2cFkvu779MEGIttHkM25v8puTYHDfu0Uz8++iQZcdY+kSkKQXL9L4bh82BkgdeTRGWkibn/B0IzpcgKZW5kc3RyZWFtCmVuZG9iagoyMiAwIG9iagoxMjUxNjUKZW5kb2JqCjEzIDAgb2JqCjw8IC9CaXRzUGVyQ29tcG9uZW50IDggL0NvbG9yU3BhY2UgL0RldmljZVJHQgovRGVjb2RlUGFybXMgPDwgL0NvbG9ycyAzIC9Db2x1bW5zIDQwNiAvUHJlZGljdG9yIDEwID4+Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9IZWlnaHQgNDA2IC9MZW5ndGggMjMgMCBSIC9TdWJ0eXBlIC9JbWFnZQovVHlwZSAvWE9iamVjdCAvV2lkdGggNDA2ID4+CnN0cmVhbQp4nO3de1TUdf7H8bkxw3AbQUExBO+isOItJbxRph7vu23eyq3jdjxm2+aetqXs4sk4a6c9W5un21qd1ExbtbITblaaeAcCwQuQAeIFRZE7A8Ncv/P7g+rHKuBcvjNfhnk+/pLhO5/v6wvx7vP5zOf7+cpkAAAAAAAAgH+QSx0AgH+Jjo6Oj49v/4rZbM7JybFarVJFAgBHrVy50v6/KioqdDqda62pxA0HAB36wx/+MG/ePJlMNmjQIBGbpYQB8KC+fftqtVqZTDZ9+vSlS5d2eExAQEBcXNzVq1fr6uq8mw4AurR37169Xq/X681ms70TgiC0tLRs3LjRhfbphQHwiBEjRixevDgxMTEkJKTrI+VyeVBQkFqtduEslDAA4gsMDBw7dmx6erqnT0QJAyAyjUaTkZGRmJjohXOJWcImTJgQFxfX4bf0ev3BgwcFQRDxdAC6j4kTJw4YMKDt32q1OiEhoV+/ftJGctrWrVs7m647f/68RqOROiAAT9m5c2dnf/4O+uc//+nCeb00kBwwYMC+ffs+/PDDXbt2eeeMADxNoVBs2rRp+PDhMpls9OjRkmQQp4QFBQUNHjw4PDy8iwPuv//+oqKiwsLCkpISi8UiynkBSCUiIiI2NnbGjBkjR46UOovbJk+ebDKZbDZb1x1Fm81WW1sbExMjdV4A7lq9erXZbBYEwc3xo8QDSblcvnbt2pSUFEfWdCgUioCAALmce8sBn9f25yxKU42Nja+99tqxY8dceK8IJWzZsmWTJk1ysx0AvkIul+t0uuDgYLEa1Ov17777bmNjowvvZV0YAOeEh4cfO3asm8wIebWE5ebm5uTkNDc3e/OkAESUkpIyceLE2NjYO9425KCjR4/+8MMPZrNZlNacplKpsrOzHZyue+6556RJCUAk77zzjjtz9rbbPProo+7kcasXtnDhwueffz4hIcGdRgD4Cb1ev3z58pqamvYvlpeXu9OmWyUsMjKSiXwAXTMYDKdPnxYEobm5OTs7u7a2VsTGmc4H4Fnl5eX33Xdf22yX3W4Xt3FKGAAPev31148ePWqxWEQvXm28VMKsVuuNGzdcW/cBwOdUVVW13UeYkZFx5MgRz53ISyXs4sWLU6ZMoYQB/sBoNM6dO/fChQsymaylpcWj53KrhJ07d+71119/6KGHoqOjOzygvLz8888/l8lk1dXVdXV1PCcO6PGys7MzMzOvXLniG10WhUJx9OjRzjb2z8jIkDogADF1vS7MZDJt2LDBm3ncHUgKgvDII49MmTLl448/5v5twJ9VVlYuWrTo8uXL3jypCHNhly5dCgoK2rdv3+0lLDc31/32AXR/BQUFBQUFhYWFRqNR6iwA0InOBpLLly+XJI9CkrMC6DHOnTu3cOHCo0ePSnJ2ShgAJ1RVVZWVldlstrYvL1++XFBQkJGRce3aNWmDAcCdqVSqmJiY6upqu91utVqTk5PF2rvVxTwSnhuAz7FarbW1tenp6UFBQYIgXLx4kaf5AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAICU5FIH6O4iIyOTk5MdOdJsNmdmZprNZk9HAgBHzZo1y+6YmpqaqKgoqfMC/kUldYDu5c9//vOsWbPavxIZGenge8PCwj755JO9e/e+9957HogGoAP+XsJ0Ol10dPSvX06fPn3+/PmuNRUQEDBz5sy6urrMzMxLly4ZjUaRMgJAJ1asWGFqx2azOThs7IzNZjMYDOPGjZP6ygC/4Ke9sDlz5qSmpspkssTERLVaLWLLCoVCrVbL5XxOAniDn5aw1NTUtLQ0qVMAcJdC6gAA4Dq/64WFhYUtWLBg1KhRHmq/pKQkKyurtrbWQ+0D8GujRo0ymUxuztl3RhCEd999V+pLBNBDvfbaa3l5eYIgeKJ+NTQ0LFiwYOjQoVJfJeBH/GsgOWrUqPHjx4vbpsFgKCwsbCthx48fr6+vF7d9AF3wrxLmCSUlJVOnTrVarTKZTBAEqeMA/sW/Stjbb7+dm5v70ksvqVSuX7jJZNqwYUNNTU3blzU1NRaLxW63i5QRADo3dOjQy5cv6/V6p+a56uvrr//iwoULsbGxUl8HAL+kUCjCw8M3bdrkVAl79NFHI34RHh6uULCeDugW/GsgKZPJBEGor68/ePCgU/NWBQUFdXV1nksFwDWu38qnUqna7gS0Wq3MBAHwJWFhYd9///2ZM2cKCgoSExOljgPAT7kykBwxYkRiYuLYsWPDw8Ptdvt9993Xv39/mUxWWFhYWVkpdkIAENW//vWvzua8pY4GAJ2LjY3dtWtXaWlphyUsNzd38+bNQUFBUscEgNtER0fPmTOnbRlnZ65fvz5mzJghQ4YMHjw4ICBA6sgA8IuvvvqqtbW16/VTgiAYDAaDwVBfXx8fHy91ZAA9nBNLNDUaTWBgYNfHyOVyrVar1WpDQ0Ofeuqphx9+2L14AOA2pVIZHBx88OBBRxayt5eRkSF1dgA9mUO9sJkzZ547dy4lJcXTaQDAKQ6VsODg4EGDBmm1Wmdb79+//5IlS9pWjQGANH7/+987O4Rsb8GCBVJfAYCeyRs7LqSnp2/ZsoU1FgBEd4cbjORy+ciRIwcNGuTOOZKSknQ63bhx4y5dulRVVeVOUwDgBK1W+9NPP9lsNncGkm0sFgtPnwUgrjsPJJVKpSg7/KlUKnYKBCCurmqKVqvt3bu3Uqn0WhoAcEpXJeyJJ57Iz88fMGCA19IAgFM6ns4PDQ1dsmRJampqZGSklwMBgOM6KGEKhSIqKurNN98MCQnxfiAAcFwHJSw9PX3+/Pls+wWg++ughA0ZMmT06NHejwIAzmKVAwAf9j8lLCEhYfv27cnJyVKlAQCn/P9Asl+/fqNHj16xYoWEaQDAKT+XMJVKtWfPnvHjx0ubBgCcolq3bp1MJlMoFEOGDHFhRzAAkJBq48aNXjiN3W43m81Wq9UL5wLgR9zfgsIR5eXliYmJERERUl8ugB7lDvuFicVsNpeWlppMJu+cDoCfYF0YAB9GCQPgw7xRwioqKkpLS+12uxfOBcC/eGEu/3e/+x3P/gDgCZ6dzv/xxx+3bNly9uxZi8Xi0RMB8FMe7X9lZGRIfX0AejKm8wH4MEoYAB/mwRLWNpb0XPsA4KnpfIvFsnLlylOnTnmofQCQyTwznX/t2rUjR44MHDhQ6osD0NN5ooT94x//4MHdALxA5IFkfX39Sy+9lJOTIwiCuC0DQAdE7Hw1NDScOnUqNDRU6msC4DdELGFr1qzR6XRyuVzqawLgL1wcSJpMpq1btxoMhvYv5ubmNjY2ipEKABzjeCfLarWaf1FVVdW3b1+pswPwd070wp544omTJ0+2/dtqtdbW1nomEgA4quMS1traeuLECZvN1v7FvLy8wsJCr6QCAMd0OGYsLy8PDg6WOhoA3IHqgQceuP1Vg8FgNBq9nwYAnMICiK4MGDBAo9F0fYzJZKqoqPBOHgC3oIR1SqVSnTx5MjExsevDzpw5M3XqVJ7yC0jCS8+R9DnJyckLFiyIi4vTarVdHzlw4MANGzYIgtDS0vLWW2+1tLR4JyEAdEAulwcHBz/77LPO3pxQW1s7cODAOw48AcCDIiMjCwoKamtrnS1hNpvtypUr6enpUl8BAH81ceLENWvW6PV6Z+vXrw4cOLBs2bKIiAipLwWA//nwww9dLl6/slqt48ePl/pSAL/AxoQ/i4+PP3DgwNy5c6UOAsAJfCL5M51Od99997HZLOBb+IsF4MMoYQB8GCVMJpPJdDpdr169pE4BwGnMhcnkcvn27dunTp3KRBjgc/ijlclksvDwcHphgC+ihAHwYZQwAD6MEgbAh1HCAPgwShgAH8aiCpE1NzdXV1ebTCapgwB+gV6YyHbt2jV69Oji4mKpgwB+gV6YaFpbWzdv3pyZmdnc3Cx1FgB+Qy6XHzx40Gg0urNHmNlsrqioiIyMlPpqAPifmJiYBx980GazuVzCNmzYMHjwYKVSKfWlAP6FgaRMJpNdvXrV5WdBNjY2Hj58ODs7u7y8XNxUAO6IEuau8vLyBx98kOdIApLgE8mfnT9/ft68ed9++63UQQA4gV7YzxobG7/55pvk5OS4uLhhw4bdcVarqanpypUrMpmsrKzMbrd7JSMAdEmpVA4YMKCuru6O8/d79uwJCAgICAhQqfjfACAZ/vz+h81mq62tfeGFF2bPnr1o0aLbD/j222/bBpslJSUWi8XrAQHAAWvWrKnvSFpamtTRAPw/udQBuqng4GCdTnf7601NTSy+BwAAAAAAAAAAAADAH7CoAh6kUCiioqIcf0y6xWKprq72aCT0MJQweFCfPn1ycnJ69+7t4PFFRUXTp09n2w84jhuM4Cn333//5MmT+/XrFxQU5OBbBg0a9PTTT9tsNqPRuGXLFoPB4NGEANABuVyuVqvff/99l3fBraur69evn9TXAR9ALwziGzVq1KeffhoTEyN1EPR8lDCILzAwcNSoUTxJAF7Arq0AfBi9MIgsPT19ypQpdMHgHZQwiGzq1KnTp0+XOgX8BQNJAD6MXhhEk5SUtHTp0kGDBkkdBACct3z5cpcXgrEuDK5hIAnAh1HCAPgwShi6IztPF4ZjKGHodt5+++2FCxfW1dVJHQQ+gE8k0V2UlpY2NTXJZLKTJ0+eOHFC6jjwDZQwdBdPPfXUgQMHZDKZIAhSZ4HPELmE9erVa/369Vqttv2L77zzTmFhobgnQrei0WjWr18/adIkp9719ddfZ2Rk/PplYWGhzWYTOxrgsNDQ0KSkpKamplvW+KxYsSLyF3369HF8G2L4ipCQkMuXL99xtZfZbL7ZTlpamtTBgXbeeuuturo6QRBu+Q+3qamp5hcXL17s37+/1EkhMgdL2JEjR/r06dP7F47v5gp0RpyBZHR09AMPPHD33XeHh4ff/t3Q0NBf/61Wq9nDwH+0trbu3LmztbW17cuSkpKamhppIwG3UiqVqampt3e+OtTU1DRgwACpI0NkISEh5eXlNput/e/aZrNVVlY6/uwPQAJyuXzbtm0lJSWO1C9KWE+lUCgSEhLWrVvX/nf997//PTExkU43PMqtgWR0dHRCQsLdd989bNgwB9+iVCpTUlLOnTtXXFzszqnRrQiCUFRU1K9fv0OHDv36YnZ2Np9Eo1t77LHHHOx83WL79u1SZwfQE0izvmHq1KmffvppfHy8JGcH0GNIszo/Li4uNjb2yy+/bGpqqqyslCQDgB5AslWmcrl869atO3fuZKUrAJe52AsLDAxcs2aNm095CAwMvOVWJP+k0Wgef/zx9qvnZDLZvn37Tp8+LVEioKcLDw+/fv26a3P57eXm5oaEhPjn5+5yuVyr1Wq12ujo6GvXrt3yk3n88ccDAwOlzgj0UGKVMKPRWFZWtmzZMqkvSAJDhw4tLi4uLS29cOGC1Wq95SdTVVV18uTJsLAwqWMC3ZrEm+1oNJohQ4bodDppY3jf5MmT29bTqVQd/wqioqJsNhsThUDX2C9MGs8///zcuXOlTgH4PEqY96jV6vfeey8mJkYmk40bN07qOEBPQAnzksjIyLi4uBkzZsTFxUmdBeg5mGrxkj/+8Y8nT56kfgHicrGEGQyG9evX79q1y83TX7ly5emnn/aHZz0oFIqAgACpUwA9jYsDSZPJ9MEHHxiNxlmzZoWFhbm2sEuv15eUlGzatKlnP+5BoVCEhYWxiBfodrRabf/+/U+dOuXCijBBEH7729/6w354d911V1lZmV6vd/ZHVFlZ2atXL6njA92aW9P5ra2tRqPxs88+q6ysnD9/vuNvLCsrO3z4cGFhYW1trTsBur/U1NSJEyfGxMRoNBqpswDoxJQpU6xWq81mu2Xr4Q7ZbLaPP/5Y6sjeoFAodu7c6UIX1W63C4JQUVFBLwzwhtDQ0EmTJk2aNGnBggVdj5haWloWLlw4ZMgQqSN73JgxY7KysmpqalwrYenp6ePGjfPPu0cBx4mzLkyv1+fk5MhkssjIyBMnTgQHB3d2pMFgyM7Ovnnzpijn7baSkpKmTJmSnJzscgvl5eX5+fkiRgLgEPmdSB3Q45RKZW5uroOPdOrMypUrpb4OwAeIv7T1jn+cop+xG3KnWF+4cGHlypXHjh0TNxLQI4l8g5FSqezbt6+z+yvU19e3tLSIm8RHVVdXFxUVbdu2zU9qPeAmkUtY3759s7Oznd3l6i9/+cvWrVvFTeKL7Hb7ww8/fPLkSeoX4CB3S5hcLn/ooYf69+/f9mVYWFhkZKSz243Onz8/MjJSJpPl5eVlZma6GUlaSUlJs2fP7tu3r2tvb2lpoUMKeINarVar1VqtNicnx5156/beeusttVrtu1P+arX6ySefdPnyBUFISUlx9qQKhaLtd8E9mICjwsLCjhw5UlRUVFxcbDAYxCphtbW1Z8+e9dHnS/bq1evYsWPu7MftWgmbM2dOUVFRUVHRnj17WEcGf+PiQFKpVA4fPrxfv37ipomIiNDpdDNnztTpdG0LzXxI288kKirKm2ecNm3avffeO2rUKJlMptFo5s2bd+bMmcuXL3stA+CTxHr8R2e+++47qS/Rab17966qqnLnqp3thYWEhFy8ePGWRtasWeO5awS6G7Y8FMfq1at37Njhzi2N33///aJFi3788UcHj3/44Yd3797t8ucGQM/AxtPu0mg0AwcOnDZt2uzZs91pp6KiIiMjw5EjAwICBg0aNHny5Dlz5rhzRqAHoIS5Kz4+/vjx497c0TAuLi4nJ+eWp38D/omBpLvkcnlgYKCXPwrUaDR8+AjIKGHdRHNzc2trqyNHarXakJAQ3106B4iLgaT0mpqaZsyYUV5e7sjBmzZtWrBgAXvAAm0oYW6ZMWNGcnKys7e1t5efn5+Xl3fhwoX6+vquj4yOjp4xY8bYsWNFX44H+C5KmFvWrVs3Y8YMd1rYuXPn66+/7siRSUlJ27dvd+dcQM/T7UqYzWZbtWpVbm6u1EG6iyVLlvzpT3+SyWQRERFSZwG6HRdLmNVqPX36dHx8/MCBA0XNI7Pb7QUFBYWFheI2K7rw8PAhQ4Y4u61Qe0ajsaio6MaNG50dEBAQkJCQcM8990ybNs2RBg0GQ3FxcXV1tcuRAD+iUChWrVrlzv00HbJYLGPGjJH64u5s8eLFjjyuqQtFRUVarbaLzxb79etXU1Pj+AbW+fn5Pr3PB+AC1weSgiCI/hTuQ4cO/ec//6moqBC3WU+Qy+XuzOLLZDJBENqK4C2vDx48+G9/+5tcLg8ODg4NDXW8JNnt9g4bBHowt+bCDAZDVVVVRESEWDtVFRYWfvDBB6I05Tlyubx37946nc4TjUdERIwcOXL16tV0pgCP02g0kZGReXl57oyn2tu0aZPU13RnQUFB+fn5XT8u0xHnzp1Tq9XtW5bL5fv3729sbHStwVOnTrFkH/7GrV6YyWSqra21Wq3u52htbf3kk0+OHj3qflOeJpfLe/XqFRIS4k4jGRkZWVlZNpvtltfDwsJc+4hg7969WVlZdkaRgFMUCsWxY8esVqs7/RGbzVZRUeEriwaCg4PLy8tdvlhBECwWy+2bTMjlcrVa3fbsDxekpqZK8cMAfN/QoUNXrlzpzpNf09PTExISfGUQ5GYJy8zMHDNmzO1drYULF54+fbqlpcW1Zilh8E8iLG0tKytz85aXq1evFhUVuZ/ECwYPHpyQkODa1jqCIGRnZx89evT06dPtX1epVMnJyVOnTk1KShInJeA3ut3q/G7u0UcfXb9+vWvvNZvNK1euLCkpueX14ODgTz/9NCYmxu10gN8RZ7Od8+fPL1269MiRI6K01iN9+eWXK1asuH79uugtHz9+fOnSpb7SjQXEJU4vrKamZs+ePRMnThw0aFBMTIyDaz6vX7/etklWU1OTKDG6sx9//PHzzz+//fWIiIgBAwa4trDObrdfvXr11KlTu3fvdjsg4PfUavXQoUMdXNYkCMKsWbOCgoKCgoJUKp8Zz27YsMG16faNGzd22ODGjRtbWlpc+zBEr9fHx8ezdxj8mZi1w2w237x589VXXw0MDLzjwXa7/aeffjIYDCIG8C2RkZGrV69OTU0NCgpy4e2ZmZkHDhy4ceOGyWQSPRuAnsmFXpggCAaD4eWXX27fjkajGT9+vMlkcqHz1ebFF1+U6GcAdCM+M4LzXdevX589e/a1a9fav/juu+/OmjXrlhuMADiLEuZZP/zwQ35+fllZmdFobHulf//+KSkpY8eOdXkVRXNz84EDBxx/aC4A/MzZgeTy5ctvaWHRokUuDx7blJSUePOxlUB3Ri/MOdu2bcvLy3v//fe7uCFBEIQnn3yyrKxMJpOdO3fu19fVavW///3vcePGeSMoAHRIq9V+/fXXly5d6qyXZLVax48ff8u7oqKiJkyY0MW7HHTp0qWvvvqKhRQAXKdSqZYvX+5UCXv22WctFoub9ctuty9evNhX7ocHvICBpCusVmtubu7atWs7/K7dbr9972yFQuHmCt7z58+/9957+fn5t+8yBgCetW7dOnc6Xw0NDdxFBNyOXpgPsFgsixYtOnPmjNRBgG6HEtbdnTt37vjx46WlpQ0NDVJnAbodSpg3KBQK157YJgjCd99998wzz4geCQAc0rdv38zMzIqKCmfnv2pqambMmBEbGyv1FQDdF70wz4qPj09MTJw0aZLj6+n1ev3p06ftdnttbW1OTk5zc7NHEwJAp7Zv3+7sXmBZWVlKpVIul/M0XACSiY+P37Ztm1PPOhIE4ZVXXrn9+WwA4FV9+/ZdvHixc1NfdrsgCCkpKVJnB3wJc2HiUygUu3btuvvuu6UOAvR84jzBCO3J5fKQkBDXtpMG4BR6YSJTKpUajcaFmXhBEEwmkyAInkgFAA5ZtmzZ+fPnW1tbnZ0I++KLL0aMGMFehoBT6IWJRq1Wp6amTps2bcSIES68vbGx8aeffhI9FdCzUcJEExoaun379qioKKmDAH6EEuauwYMHv/HGG0qlUq1W9+rVS+o4gH+hhLkrLCxs3rx57mxnKAhCeXl5ZWWliKkAP0EJk55er585c+bVq1elDgL4HkqYW1atWjV58mT3N7O3WCxWq1WUSABwZyqVKiws7PDhw84unriF0Wi8cuVKdHS01BcEwJ/Mnz+/oqLCaDS6WcJeeeWV/v37u7YhIgAGki4KCgqKiYlxp4XGxsaMjIysrCwm8gGXUcIkU1FR8dhjj5nNZqmDAD6MEiaNtLS077//3mKxSB0E8G2UMKcpFIrRo0cPGzbM2Tfa7fazZ88ajUaZTHbixIn8/HwPpAOALgUHB5eVlTm7nbTdbm9tbY2Pj3f5aUYAbkcvzBUKhcLZ7XT279+/Z8+e69evs50OICJKmHNCQkKioqKcWssqCEJ1dfWxY8e2bNniuWAAcGfPPfdcXV2dzWZzfPxYUVERGxvLRmCAJ9ALc45Wqw0PD3f8+G+++SYrK6uqqspkMnkuFbxs9uzZI0eO7OKA48eP5+XleS0P4KgNGzY40vOyWCxms9lsNi9fvlzqyHCXSqUK+F87duzo+j+AtLQ0qVP7C3ph4hME4ZFHHikqKpLJZFeuXJE6Dtyi0+n27t3bu3fv9i/GxsZKlQe3oISJz263l5SUnD17VuogcNeIESN+85vfjB071tnNLIcPH37vvfeePHmSCQR0L44MJK1W6/jx46VOChFs2rTJkXmDDjU0NLh5Fy0cwRpLkX333XeLFy++cOGC1EHglri4uF27ds2dO9flFoKDgzdv3vzkk0+KmAq3YyApGkEQrly5kpOTs3fvXqmzwF06ne6BBx5wZz9xlUo1d+7c6upqEVPhdpQw0dTX16emprJzDuBNlDB33bhxY/PmzYIgGAyGmpoaNp9Ae2PGjHn55Zc/+ugjPptGt3DLdH5ra+uJEyfcGW6gexo9erTFYnF5Lr89QRCmTJki9QX1WPztuWXVqlWHDh3iyR2AVChhziksLNy9e/evX54+fZrJLwBA98JA0lewLgyAD6OEAfBhlDAAPowSBsCHUcIA+DBKGAAfRgkD4MNY2gp0zGazKZVKZ5+2dwu73W6z2cSK5Ie6eOBh27Nc3fr1AD2VVqtNSEh45plnli5d6k47+/bt27Bhw/nz55ubm8XK5j9iY2N37Nih0Wg6/O6rr766d+9eemFAB1pbW/Py8qqqqtxsp7a2lkcZuSYhIWHs2LETJ05Uq9UdHjB16tS6ujovpwJ8iTsbT7fZunWr1Bfhq7744gtHfsJM5wPojhychaSEAZ2qr6+/evWqIAhSB/EvgYGBsbGxWq1W6iCAj9NoNHFxcVVVVQwkvWnWrFl6vd7BnULohQGdMplMN2/efPPNN7/55hups/gRpVIZEhLi4GbIlDCgK62tra+++upnn31mMpnsdrvUcXo+tVrd2SoKAC7S6XTx8fFnzpxhIOlRAQEBGRkZFRUVjv+EWRcG3FljY6NerzcajY6/xWq1Hjp0qKCgwHOpepghQ4aMGTMmKSmJp6AD4lMoFDk5OY73DhoaGvhTdMpf//pXZzu5dob2gONSUlLS0tIc+bv66KOPZs2aFRgYKHVk39C7d+/du3cXFxdTwgDPmjZtWtvdxV1LS0uTOqkvueuuuxoaGlyoX3YWVQDwaZQwwAnl5eVpaWn5+flSB+k5lixZ8uKLLzLoBrxn8+bNjY2NHY5rbDZbQ0PD2rVrpc7oA5RKpU6n27Fjh2tDyDZSXwTgg8LDwydMmKDX62//iyotLR04cGBISIjUGX3AhAkTKioqWlpa3ClhrAsDnFZfX19eXr59+3atVqtQKBYtWqTT6WQy2cGDB3/44YerV69arVapM3Z38+bNS0lJueuuu9zcFxeAWzQaTXFxsSAIgiDMmzdP6ji+QS6XZ2VludP5ohcGiMNsNq9YsaJtZ5ji4mKp4/gdShjgFrvdzgeUTomMjBw2bBjThQB80sqVK202myijSDtLWwF4n0IhWuWhhAHwYZQwAD6MEgbAh1HCAPgwShgAH0YJA+DDKGEAfBg3WALwqri4uAkTJmzcuHH48OEOvsVoNK5du7a6uvr2b1HCAHibXC7ftWvXPffc0+ETUgwGQ2VlZftXWlpa5syZc/36dW8FBIAuaTSae++9t8MHEezfv1/7vwIDAzvbk4fbvAFIwGQylZaWrl+//vZvlZWVtba2ej8SAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/odc6gAAPEKhUAQFBXVxgN1ub2lp8VoeD1FJHQCARwwePHj//v0BAQGdHXDz5s3777+/qanJm6lERwkDeqDU1NSJEycOHDhQper0b1yn0y1duvTUqVP5+fnezAYAd/Df//7X7pg33nhD6rBuUUgdAICYJk+efPjw4eTkZKmDeAkDSaBH6dOnz/Tp06VO4T30wgD4MHphQA8REBDwwgsvTJo0SeogXkUJA3oIpVK5fPny4cOHSx3Eq/4PNhqoOgplbmRzdHJlYW0KZW5kb2JqCjIzIDAgb2JqCjg3MDIKZW5kb2JqCjIgMCBvYmoKPDwgL0NvdW50IDEgL0tpZHMgWyAxMCAwIFIgXSAvVHlwZSAvUGFnZXMgPj4KZW5kb2JqCjI0IDAgb2JqCjw8IC9DcmVhdGlvbkRhdGUgKEQ6MjAyMTAxMjMyMTU5MzctMDQnMDAnKQovQ3JlYXRvciAoTWF0cGxvdGxpYiB2My4zLjIsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcpCi9Qcm9kdWNlciAoTWF0cGxvdGxpYiBwZGYgYmFja2VuZCB2My4zLjIpID4+CmVuZG9iagp4cmVmCjAgMjUKMDAwMDAwMDAwMCA2NTUzNSBmIAowMDAwMDAwMDE2IDAwMDAwIG4gCjAwMDAxMzg2NzAgMDAwMDAgbiAKMDAwMDAwNDA4NSAwMDAwMCBuIAowMDAwMDA0MTE3IDAwMDAwIG4gCjAwMDAwMDQyMTYgMDAwMDAgbiAKMDAwMDAwNDIzNyAwMDAwMCBuIAowMDAwMDA0MjU4IDAwMDAwIG4gCjAwMDAwMDAwNjUgMDAwMDAgbiAKMDAwMDAwMDQwNCAwMDAwMCBuIAowMDAwMDAwMjA4IDAwMDAwIG4gCjAwMDAwMDEzNDMgMDAwMDAgbiAKMDAwMDAwNDMwMSAwMDAwMCBuIAowMDAwMTI5NzE4IDAwMDAwIG4gCjAwMDAwMDI5NjAgMDAwMDAgbiAKMDAwMDAwMjc2MCAwMDAwMCBuIAowMDAwMDAyNDM5IDAwMDAwIG4gCjAwMDAwMDQwMTMgMDAwMDAgbiAKMDAwMDAwMTM2MyAwMDAwMCBuIAowMDAwMDAxNjgzIDAwMDAwIG4gCjAwMDAwMDE4MzUgMDAwMDAgbiAKMDAwMDAwMjE1NiAwMDAwMCBuIAowMDAwMTI5Njk1IDAwMDAwIG4gCjAwMDAxMzg2NDkgMDAwMDAgbiAKMDAwMDEzODczMCAwMDAwMCBuIAp0cmFpbGVyCjw8IC9JbmZvIDI0IDAgUiAvUm9vdCAxIDAgUiAvU2l6ZSAyNSA+PgpzdGFydHhyZWYKMTM4ODg3CiUlRU9GCg==\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "#Lets plot a second image that is in color\n", - "plt.figure(figsize=(16,10))\n", - "plt.subplot(1, 2, 1)\n", - "plt.imshow(dsb_data[1][0].permute(1,2,0).numpy())\n", - "plt.subplot(1, 2, 2)\n", - "plt.imshow(dsb_data[1][1].numpy()[0,:], cmap='gray')" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T02:59:37.545680Z", - "start_time": "2021-01-24T02:59:37.542101Z" - } - }, - "outputs": [], - "source": [ - "train_split, test_split = torch.utils.data.random_split(dsb_data, [500, len(dsb_data)-500])\n", - "train_seg_loader = DataLoader(train_split, batch_size=16, shuffle=True)\n", - "test_seg_loader = DataLoader(test_split, batch_size=16)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T02:59:37.553219Z", - "start_time": "2021-01-24T02:59:37.546891Z" + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "author": "mes$", + "celltoolbar": "Tags", + "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": "3.7.9" + }, + "latex_envs": { + "LaTeX_envs_menu_present": true, + "autoclose": false, + "autocomplete": true, + "bibliofile": "biblio.bib", + "cite_by": "apalike", + "current_citInitial": 1, + "eqLabelWithNumbers": true, + "eqNumInitial": 1, + "hotkeys": { + "equation": "Ctrl-E", + "itemize": "Ctrl-I" + }, + "labels_anchors": false, + "latex_user_defs": false, + "report_style_numbering": false, + "user_envs_cfg": false + }, + "latex_metadata": { + "title": "Object Detection" + }, + "colab": { + "name": "Chapter_8.ipynb", + "provenance": [] } - }, - "outputs": [], - "source": [ - "C = 3 #How many channels are in the input? \n", - "n_filters = 32 #Smallest value of filters you should usually consider. If we wanted to try and optimize the architecture we could use Optuna to pick a better number of filters. \n", - "loss_func = nn.BCEWithLogitsLoss()#BCE loss implicitly assumes a binary problem" - ] }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T03:23:49.985415Z", - "start_time": "2021-01-24T02:59:37.554649Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "8353ab171cc64c97a69c1c815f9bd965", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + "cells": [ + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T02:59:36.480030Z", + "start_time": "2021-01-24T02:59:35.199989Z" + }, + "tags": [ + "remove_cell" + ], + "id": "5YaRbxE0VTKF" + }, + "source": [ + "import torch\n", + "import torch.nn as nn\n", + "import torch.nn.functional as F\n", + "import torchvision \n", + "from torchvision.models.detection import FasterRCNN\n", + "from torchvision.models.detection.rpn import AnchorGenerator\n", + "from torchvision import transforms\n", + "\n", + "\n", + "from torch.utils.data import Dataset, DataLoader\n", + "\n", + "from tqdm.autonotebook import tqdm\n", + "\n", + "\n", + "\n", + "import os\n", + "from imageio import imread\n", + "from glob import glob\n", + "import json\n", + "\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.pyplot import imshow\n", + "\n", + "import pandas as pd\n", + "\n", + "from sklearn.metrics import accuracy_score\n", + "\n", + "import time\n", + "\n", + "from idlmam import set_seed\n", + "from idlmam import train_network, Flatten, View, weight_reset, moveTo" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T02:59:36.487014Z", + "start_time": "2021-01-24T02:59:36.481580Z" + }, + "tags": [ + "remove_cell" + ], + "id": "o_6u0GJPVTKM" + }, + "source": [ + "%matplotlib inline\n", + "from IPython.display import set_matplotlib_formats\n", + "set_matplotlib_formats('png', 'pdf')\n", + "\n", + "from IPython.display import display_pdf\n", + "from IPython.display import Latex\n", + "\n", + "torch.backends.cudnn.deterministic=True\n", + "set_seed(42)" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T02:59:36.501602Z", + "start_time": "2021-01-24T02:59:36.488116Z" + }, + "tags": [ + "remove_cell" + ], + "id": "ZqvQfyJjVTKM", + "outputId": "18dee9d1-d81b-4dda-cd48-c4715f2cd864" + }, + "source": [ + "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\") " + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + "/home/edraff/anaconda3/lib/python3.7/site-packages/torch/cuda/__init__.py:52: UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 804: forward compatibility was attempted on non supported HW (Triggered internally at /opt/conda/conda-bld/pytorch_1607370156314/work/c10/cuda/CUDAFunctions.cpp:100.)\n", + " return torch._C._cuda_getDeviceCount() > 0\n" + ], + "name": "stderr" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T02:59:36.514182Z", + "start_time": "2021-01-24T02:59:36.509030Z" + }, + "tags": [ + "remove_cell" + ], + "id": "bjlCz_jwVTKN" + }, + "source": [ + "#This URL has a copy of the dataset, make sure you go to Kaggle though and make an account and follow the license rules. \n", + "data_url_zip = \"https://github.com/kamalkraj/DATA-SCIENCE-BOWL-2018/blob/master/data/stage1_train.zip?raw=true\"\n", + "from io import BytesIO\n", + "from zipfile import ZipFile\n", + "from urllib.request import urlopen\n", + "import re\n", + "\n", + "#Download this dataset if we have not already done so\n", + "if not os.path.isdir('./data/stage1_train'):\n", + " resp = urlopen(data_url_zip)\n", + " os.makedirs(\"./data/stage1_train\")\n", + " zipfile = ZipFile(BytesIO(resp.read()))\n", + " zipfile.extractall(path = './data/stage1_train')\n", + "#Grab all the paths to the images we just unziped \n", + "paths = glob(\"./data/stage1_train/*\")" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T02:59:36.522890Z", + "start_time": "2021-01-24T02:59:36.516129Z" + }, + "id": "dodVDJq0VTKN" + }, + "source": [ + "class DSB2018(Dataset):\n", + " \"\"\"Dataset class for the 2018 Data Science Bowl.\"\"\"\n", + " def __init__(self, paths):\n", + " \"\"\"paths: a list of paths to every image folder in the dataset\"\"\"\n", + " self.paths = paths\n", + " \n", + " def __len__(self):\n", + " return len(self.paths)\n", + " \n", + " def __getitem__(self, idx): \n", + " #There is only one image in each images path. So we will grab the \"first\" thing we find with \"[0]\" at the end\n", + " img_path = glob(self.paths[idx] + \"/images/*\")[0] \n", + " #but there are multiple mask images in each mask path\n", + " mask_imgs = glob(self.paths[idx] + \"/masks/*\") \n", + " #the image shape is (W, H, 4), the last dimension is an 'alpha' channel that is not used\n", + " img = imread(img_path)[:,:,0:3]#trim off the alpha so we get (W, H, 3)\n", + " #Now we want this as (3, W, H), which is the normal shape for PyTorch\n", + " img = np.moveaxis(img, -1, 0)\n", + " #Last step for the image, re-scale it to the range [0, 1]\n", + " img = img/255.0\n", + " \n", + " #Every mask image is going to have a shape of (W, H) which has a value of 1 if the pixel is of a nuclei, and a value of 0 if the image is background/ a _different_ nuclei\n", + " masks = [imread(f)/255.0 for f in mask_imgs]\n", + " \n", + " #Since we want to do simple segmentation, we will create one final mask that contains _all_ nuclei pixels from _every_ mask\n", + " final_mask = np.zeros(masks[0].shape)\n", + " for m in masks:\n", + " final_mask = np.logical_or(final_mask, m)\n", + " final_mask = final_mask.astype(np.float32)\n", + " \n", + " #Not every image in the dataset is the same size. To simplify the problem, we are going to re-size every image to be (256, 256)\n", + " img, final_mask = torch.tensor(img), torch.tensor(final_mask).unsqueeze(0) #First we convert to PyTorch tensors\n", + " #The interpolate function can be used to re-size a batch of images. So we make each image a \"batch\" of 1\n", + " img = F.interpolate(img.unsqueeze(0), (256, 256))\n", + " final_mask = F.interpolate(final_mask.unsqueeze(0), (256, 256))\n", + " #Now the shapes are (B=1, C, W, H) We need to convert them back to FloatTensors and grab the first item in the \"batch\". This will return a tuple of: (3, 256, 256), (1, 256, 256)\n", + " return img.type(torch.FloatTensor)[0], final_mask.type(torch.FloatTensor)[0]\n", + "#Caption: Class for the 2018 data science bowl dataset. Each image has a corresponding folder of masks, one for every object in the image. We aren’t going to do that kind of object detection yet. Instead our DataSet class will go through every mask and “or” them together, so that we get a single mask showing every pixel that contains an object. This is done inside __getitem__ which will return a tuple with the input image, followed by the mask we want to predict (i.e., all pixels that contain nuclei). " + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T02:59:37.005088Z", + "start_time": "2021-01-24T02:59:36.524431Z" + }, + "id": "kxkpXH0KVTKO", + "outputId": "9b27d28a-a7a9-4488-c5c3-d78d0330c638" + }, + "source": [ + "#Create the Dataset class object\n", + "dsb_data = DSB2018(paths)\n", + "\n", + "plt.figure(figsize=(16,10))\n", + "#Plot the original image\n", + "plt.subplot(1, 2, 1)\n", + "plt.imshow(dsb_data[0][0].permute(1,2,0).numpy())\n", + "#Plot the mask\n", + "plt.subplot(1, 2, 2)\n", + "plt.imshow(dsb_data[0][1].numpy()[0,:], cmap='gray')" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 7 + }, + { + "output_type": "display_data", + "data": { + "application/pdf": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAG4CAYAAABWwfopAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAADLS0lEQVR4nO39e7R1R1XnD8/ae5/zPLkIhEAgJDREuQgJECEql8hFDKQFxQu0wdFqA76AolykFXRIS7etiKC/MdoeKKFRQBHkjkQaEISOEAhJgEDCRYJyiUAuJITcnuecvfd6/3ie2tSpZ1bVnHVZa+1zvp8xzjjnrFWraq5atdae35qz1jZd1xEAAAAAAAAAADAUk6ENAAAAAAAAAACwt4EwBQAAAAAAAAAwKBCmAAAAAAAAAAAGBcIUAAAAAAAAAMCgQJgCAAAAAAAAABgUCFMAAAAAAAAAAIPSTJgaY842xnzBGHOFMeaFrdoBAAAAgAx8NgMAABgrpsX3mBpjpkT0L0R0FhFdSUQXEdGTu677bPXGAAAAAJAEn80AAADGTKuI6Q8R0RVd1/1r13VbRPRGInpCo7YAAAAAkAafzQAAAEbLrFG9JxHR15z/rySiHw4VNsbUD9uCtcQYQy2i+LsVYwwR0a7pM3s+RPFzkpbbLbjnG2Iv9IOSa7uuu+PQRowMfDYDAAAYkuhncythynlROz7gjDFPJ6Kn2/8nkwnrfLnOVsgZdcXMZLIzCBw6PkXKyfP3h+q25WJtc22l+kJSxt+fsiVVv398bt9K7ZI62lIB45cNnUeqTKhuLTn95/ZVbn9JSV0Xrq9SY6h07EhtltBK1Hddpz4nvz+4fkvd75rziNkoGeuxMkMKZHcMLhaLrwxmyHhRfzYDAAAAFYl+NrcSplcS0V2d/08moq+7BbquO5eIziX67qws5wjHxCiH1OHSOMglDleu0x3qi5pOX0yothY9IXtKRUpOH0knDfy6Q+1wY9bfFhOW/ngLjYGQCAzZpRXXqWuRul+lNkiRXFvp86LrumpjOnSNYzblTOTEJoZqTOJo6nGvhcQ+aZ05x1kQMRaR9dkMAAAA9EGrNaYXEdE9jTGnGGM2iegcIvr7Rm0RUTiiUCsaExMhNSM+mna5shKHu9Qpr+nUE+3swxr1trwepYREJVfG7RPJcRpaj9vajNnWUFQ4hua+TtUzNkFW2x5pn4x5jIyI3j+bAQAAAClNIqZd182NMb9GRO8loikR/WXXdZdLjq0RqcuJSnB2aFJES0itl3MjiZIUX+1+1w5XAKXSMEujwbl1+LZJImnS1Gt3X06/xdrPOddYhNQvV4vU9Q1FjkvSuVtT45ngHi8dTy1ElTZll2tH+1yNPQ/c/6UTKFI73Ofe2AT4OlLy2QwAAAC0plUqL3Vd924iener+oU2rN1se8gBC52L1EFeLpfZUTKujTE7iaW2ccLX/ZsT1to+kaS8Susey9htScsoXKuxvM7XZch7fJ37bR0Yw2czAAAAwNFMmObiRjZqpbtxdfkRHyvaajtjmkgdV0YT6Un1mSTlsGRbKbXqLL2OofOVRJ9ifcxFGbuuW72wKxRFSkWYc6Kxpet5Q+scpXW2EtrSyHns2knSrFOURFBDkyIxW2qlwkvb49rUPENDk28AAAAA2LuMTphaStM9Sx3k1ItFSh37Gnb5jmDMpla2lqZxakSkVqTH/pe04x4nsTFHHNaox9ZV+xpL7kF7/Wz7ORMxrUhduz6FkHTs1kiP57bl3A+5Qj1nYqiGsK4lzgEAAAAwDKMVppbWjq3rWEudR23UpJaj1IfDpZ0QKBFEuyVlzx1D7jaiuuKzFq2Eb60o7FC0uL9qrOUM0Ve6rR8RBQAAAABowaiEaa4gjKWQ5aRftnD2JO2G2peWc7eF0gG1aaItqRnlq1VPbmRUIhL86LbbZsz+Gumxfrma4rRmlL511KvFGJfeQzlZBbHJMs1409rqHq9dVhGKoobwJ3UAAAAAsDcZjTAtdRhrpFqGxKM2PVGaNicRCDVS+zSiWNuGdDLBluMmAWLC2SU2gZCbRltTCElEmz+eQufeepIgJnhyJmpi55VjV8rG1LHc/7E6W01OueJOWj4lbmMisWYqdar/Nfdu66UPbhuI6gIAAADrSavvMR0E65TsBsfEjQJzaaKtzrEkypXLmNJd+xw/Ldvhxo32+CHpq/2+onW5bUwmk9XLsWrUlxspDx3LZQAAAAAAAOQwmoipBM0at1S0pGXKoCTqJ40MxiJRXLRC81KTUHlJOqI0AhKLkLo2h1JbpevotNE1/zw0Eb8+IpstIkzc2JOmtOdc61qk+iLnHg5FV3OyG/pIR5c8N4ZaI8tFaVPLKnKi4LthwhEAAAAAYUYtTKWixEVbXpqKGjsuJTJjqcGadF43OuGLKTe6Gjpec64xB70UThTEHO/QOKg9udDX+sOYwCk9F61A94/NtUG6FlI6ESJJq9eMlRDufZNKu82dLPCfFRIB6pbn7ChBcw6tyrZK7UXkFgAAAFhfRi1M9wIxR54Tv7UcrzFFIlIR3BKkgqlWO6G2+iQnamxp4diXpI9K95cIHen60lYp63uZVJ/0MTkJAAAAgHEwOmGaip5J8aOJ0rZTdcaO0aTbacRDKGqS208559mCEiFRM7obe4mLxMaxiDnpcdIIvcWNxOfcV269OX01lND3U8pL6wrBteH3carfNf0qSVsO2SOpV0KrSCwAAAAA1pfRCVOift7gOBY0qZ4uoVRHrl5JPWMi5jhrHVqNONVSQ6y0XJdpqRkt7jsalZPmniLU75z4rnGNStKr3eNqpHqvC9y6VX/fGJ9dAAAAAMhnNMK01OmSHJ+Tbqlx6mvVH2tDs7ZVWie3L3YutQSVRoDmiO5Q3bFykrolawRT6xX9emqmAseuZYzU2ld3XXNMOEhsyrFPO941lJ6Pdn2lexw3Tvx+jtWvzdoIpS7XWD8bK9eXqIZgBQAAANaT0QhTS02nQurM+eXHFJUojQ5I0/YsJQKjFiVjwD9fSf+VRGZj40hi31Bo+ofbn7tuVHtc6hguyplCMsb7eg757brltZNtfpst1m+m6ovZVfMaSdsEAAAAwPowmu8xhVMRZggRY6NjuYKEO3ZIWq1/49pZLpfZgqIGoWu31yg5f03/5ay1deuPHT+ZTJpfxz7HSY229vq4BgAAAHYro4uY5sDNxNeKTNnoSYs3Q9aMnpU64dIy2mhSrO+GcoilKcSS9NpQ+bGsk65tg3+O0jZK00RL0aZqc9cvFR2X9kfOS5VyUnPtPu3Sg1rXM+clStL7piTLAQAAAADjZFcIUwklazZrRLdCKaal+A5uq0gcV6/0xU0lokR7PqkIb+23i/ptpVIrd6vzHDq3knRRTZo5d3/5NmnXD2vszpm40qTs+seE2iy9/2MTMymhqVk6EZvEyU35dtmt9xkAAACwm1lrYerP8o8lHbj1OkJbv/9CmlC5daTVi1TGNE5qU/MFSlpSa3hrTu60OnZIMTO2cVnDFonw5p5l2voBAAAAsDtYa2EqocYbPyXH5r7gJERov+vISeGimTXEsybSw9mTU1du+VT7mv05pFJgc6JQJTbUqN9eg7G80IlIf7+HIuySl/eUrL/WbA/t823l7Ml5TkhT73P6QvKszI1ah2wDAAAAwHowmpcf5WCd4iGdkKHWT0qiC6kyQ69tLa1jDEKIKP9FT63G7dD94t+TsWhZX/duH/djrWNC46nVWt5SStNucxn62Q8AAACAuuz6iGmKFjPyqYhgrvOYc3zJC06klNaVcw1y1v+1Tq3220i1W9seyURFjX5L1SGNeGmEVul96kfquL7g1qWG7OHa4PZz7fjC0z3H1D2qFac5a6xzkdadiqZK17Nr2wUAAADAuBlNxFTrpFvnThOt0pb3iTlAqX0ScTR0pKsVJX3O0fKlNC1ICROf0nEqIVS/dBz79UgFZGqtYczeUvp6QY7fJ9LIqFte85xotS6zRUQy1X5osgAAAAAAu589HzGV0rdzlPNmypw2XPpId+y7H3er2G9J7A2qmuOl6wxD7dUcL6XrP0PkTlZp4MQ/t740tv68xoujWtxLQzwTAAAAADBORiNMNW/N9GfRpQ6T1IkMpYqF0u80xMSgb4PfrvY8rTPbwvHTvKAklKooqZurvzS909bR+sU9LaLE7lgIrePUpptyZVJIzq2PyRUJknug1E5t+rIkxd7PCplMJkeIz+VyuaN+TrRqXwiVQ86xpc8FAAAAAOwuRiNMS8gVnKljQoLQF37SelK2Dk0qglq6VjJHIGidfP96a1NMtdczVi5mc0ndLdJaXWoIV23dfv0SGzT3MzfRw9UZa1Oy5lOzpju0ptTdNplMaDKZsMLUHr9cLptPPoX210y1DQlq6UQVAAAA0Bez2YwmkyNXRC6XS5rP5wNYtDvYFcK0NaWOl+uAtoyixcrUbC/VZokNsRegSLDHalM3NWsjS8RhqbDs0wlvGU3ORXt9LWObEOImffzoqP3t/k208x5ZLBY0n89puVzSYrFItmUjrG5dQ9H3ZAwAAABQiz/7sz+jhz/84Udsf9vb3kYvetGLBrBod7BnhWkosubvq9me1rnKdcZCYisV+SlJS24huKX4105yLVNRNK4NTeqslNwUyJAt9n9O+IRSO1PX3u8jTZSshaioVV8foix2/n6/u4J0Op3uEKW+MLW/u65bbbeis9V5aSeYXKSp3zmExjsAAABQi8lkQg9/+MPp2GOPJSKiM844g+573/seUe7rX/86Pf7xjyciouuvv54+8pGP9GrnumPGEEkwxnTT6VRSjojy1nWWpIOF2stJS6yRhqYRRa6o8I9L/c9td/fVFKYhkRiyP4SmfGiNmyR6GusXv05N/bEUVj/qHltDGEodjbXptxFKqSyZOEiRErIl0fRYPRJxrk0dDh3nikwiOiI6Op1OaWNj44joqZ86a6Oky+WSlsslbW1trf52bfFtk56Lpn9ix9rjtWhSr7mU6Pl8fknXdWeoGwYrjDHDOwgAADAC9u/fT5deeind6173Eh/zsY99jB72sIcd8T6IPU70s3mtIqYl6Z1+HX2lU8YiV1KBF7JZcl6cwxaz1e9jezPFUpFrRSdcxzs3qus779J2c+yU1im5bu7/kj6OiVIfaV/4EVHummsFSk1B4u7LITZpkYqGa8/D9h83DtzfviB1f+x2/3j3+hhjVim8dg2quxbVLe/Xo0Vz7SWTdpLnUejYWLkxTLYCAADYPTzxiU+kpzzlKXSXu9xlaFN2PWshTLXRDQ6p+OP2x6IfUpu5+iRlfRt9Z1dKKr0zZUtLQWrti/0foiSCVivypm2TEytD2JJCEr3UHltjYqgl0omCXDixagWo+zOdTsmYQym9oftxuVyuRKj/bGg9nmpEriV9K5lwAwAAAGpz4okn0m1ucxsiInroQx9KP/7jPz6wRXuD0QtTLrWwRn19HKuNrLac6Q/ZwvXvUE5grmgp7buSdnPbqx1lLi0jJSf66m+z2/sWFyWZDqVthdJ5p9Pp6s1+GxsbO4Sp/W3fuhuKfLritusOvRBJkn6/TqTGy9gnPAAAAKwXf/iHf0jnnHMOER16Ay/ohyPfczwyOIcsh9xIo28DZ0tsu6YN/5hUW+5PyfnFbO3T0eOiSanz4s4/dVyNyFJpv3DCgbM5NLa485Xil4/1gTSS79souWdj51U7Gi99hnB9ox0jIVHq1m2F5Gw225G6a/+W2OGmAtvoqvvCJHtcTVL9IemvkmvMnde6im0AAADj4+53vzu95CUvoR/6oR+i/fv30/79+7OF6X/4D/+B/vAP/5DOOAOvO5AyyimAlNPcwhGpFc2xx8bsTq2JKhFLQztpWoc4ZnOrqFoqbTtnQoGrK6dcTrux/dK2cvranRDgJlY4xhq5k6a05+KLMX9dqRsl9b8XzRV7MXHqviQpx/5UCn9KDA59TREtBQAAUMrd7nY3euELX1ilrrvc5S70ghe8gL7whS/QxRdfXKXO3c4ohWkLtMKg5VrAHBEQal9TT4k4krSbqtPud99OViNtV9ru0I5zDjXSlFNrBWvQclKkVNTXTsstxUY3uR8/2mnTeDV2uUK29tjve/LLn/SIRfuRzgsAAACsN6MUprmOj8QxaeGkpiKg0jqlqYahsjUiJH47UrSRuZJoaOo4dxyUpgtydrr7tefSR7Q0VN4fO5Jxq7mutrxmHI8BqfDLEcju2HCFlRvp5L6z1D1OOvHCbc9JRfbtj7Xnn5v9u2a2AydOUzaPaXwBAAAYP8YYOvvss+mhD33o0KbsaUYrTEsci9y0REsrp8Z33EJlYmmFnLPcKt21RGz5Nvvn7IpGTeSnBOkEAJda7QqGUMQ2JspK7I9NhuSmHdciJFxS1006vkomW6QTGKmysVRz7tjYZIb9m/t6mNg94UcG/dReX/D6YzV1Dqk2WyHNftA8i0rFOAAAgL3HZDKh3//936cHPehBQ5uypxmlMOWcboljsi6z5KmokuY8pA6166zG6vEd4Nw+zXEMU+nKGpHaSqzn7u8rzZBb9xm77iUOfGjMaI6VlGslMlpfC1ck+tv89aXccTaVN2V76P6IRTtbCrcakzCacYQUXgAAAGB3MEph6pPjcITWiHLlco8N4ZYPiWtNymPI8efsStUZil6Gykq2xeryI0Cac24duZbYEzvf1JgKHZsTKfTFZo3IbGoCIEStyYoxiFMNsXGjmdixwtSPkGozFPz6SwVaTh+XXpexXFsAAAAADM/ohelungXXOGUaQclRQ+jlHF8zQiONlLZ0dodyoksEp398H2nrvj01xp5mnWFNSiemXPFpI6W+uLT7NO1y4zyUxjpmAaiZKAIAAADA7mX0wpRzQlNpsJqUSr9830I45FyGynLlaok/rcMvTeXMjc6G9g/pvEoiqKl1bjmRrZI0Yp+aqeR+fdIou4+kT/zoe8qWVFtS2yRwKdR+e6FsApuyy31NTKpN+9be0BpUv56ctOsxss62AwAAAIBnNMJUI4pqr5nrcx1bKp2Rc2pj68m0NkjSbqVwDrdfv8bOWOpj7P+aEaJa46BE/OWkeGvbkbZfItxi93Sq/VbR/dT9pak/FcGNTSRx90zKFs52/+tkYhMiOdSc9PLrrA3WmgIAABgT29vbdN1119GBAweGNmVtGI0wrYkk6rJb4ETrkJSk+7r/p6KOYyImvlJptbVtGFOqca0U2Bq2uPtapnlLJ3u4tHxOyIaiou55LBYLWiwWO8px9w6XHTLEeKk98bAOzwgAAAB7j0svvZR+/Md/nL7zne8MbcraMBphWsPRiEXSpJEI12kKzcBLZ+Y5scA5g6n2YmicvFpRj5AYLu0X+9v2kSaC7ttgt4dSi/sS8SHBWBrxzG2XqzN2n+T2lTZCltuGdlIg1Jb03khNAISeJaFjY/VwopQ71hejqayM0L7dIvD6vL8BAACAEPP5nL71rW8F37APjmQ0wlTjRGr2c2VqrtdLtZlKMw2l92lss46YVAzExJIEacphKormi1H/f4vkhnbbjF2/oSOK2vZDkwGhcaAllNraup9CY6ikXekYKG3HpzQtOSQouVRdu93d7/7YemybpR+GNVPb3TpLxeNuEdEAAAAA+C6jEaY5tIjE1FxTVXvWvtSm0vRYaZpiap+/fzKZrF784qfxui+FqTHjFBLw2uhlDQFVSmgCIBXR9stKtte4L/w6S++RvqPeKdzzkYhRW87tW1dQaiZbXJGamrRANBEAAAAAY2SthGnIuQo5uKkoU67Q6Ct1VorUGW7RZk7E14+MWmHq18GJmBqRsNhY0V6zIVIhQ1HOWmm4mvZbnr82ol/7XHNTYLn7kSufSjPn0tq5a++n/OZed21miaSuVvdEbDlAyeQbAOC73OMe96BTTjnliO3XX389XXzxxQNYBMD6cNFFF9HHP/5xfB4pGY0wzU0fdJ08jTM2tqhBCxGR6lNtn8ccZC1WiE6n09WPtcltbzKZrJxu+/disShqu5RY2nmuMA7tz63Pvy9C9Ui3x8pp77tYqrcG7fjl+lUywVVKbNLGj4q6ojQWMe26jhaLBc3n8yNefGT3j/XDsGYf95F2DsBe5ZnPfCY9//nPP2L7Rz/6UTrzzDOxbg6AAF3X0XOf+1y64IILhjZl7RiNMOWQpupKUtfcB6hkTRg3+95azKYc41B6ZapsLIpSM5UyZZvdZiOkVpBakepGTa3Nk8lk9bd9+yjnfLuOfSqiF7MzJgpj46yGKOXs0qZLp6JwUvv88ZOLZMzlpvf6x8XakUQSQ9c+dm0lmQL+GLEpt369/veY+nXbZ5h9ntm6OJtj58bZxm1PjS/pWG7N2CYZAVh3Tj75ZHrpS19KZ5xxBrv/Xve6F73xjW+kruvo+uuvp+c///l0880392wlAGA3Miphmpuq5woZqbOusWnsM/Kh6A9HrhMX6let2PXTd6fTKZvS66Yl2rZ8scrZwqVVSraFbO3bwfbFoFQoaq9rSR2p+zC3/dwxmxP11/RXKuocKh/b749vboIkJgK5OlJCvTa5kwia68lFtKUTYACAPG5729vSE5/4RNrc3GT3H3/88fSkJz2JiIiuueYa+ou/+Av66le/Stddd12fZgIwSm666Sa66qqr8N2lmUzSRXYfvgM3VuGZsk1je44zLqnfLyOZXLCC1P6ezWa0sbFB+/bto42NjR3bZrPZET+2jB9hSuH2gbY/QvXUpkZ6q/2dc82HpGW/um0McSwRRUWkL1KNOZTmvrGxsePFYMvlkubz+SqF143Acu3Vpo9r5FIjag8AaMcd7nAH+shHPkK/9Vu/NbQpAIyCd7zjHXT/+9+fPvWpTw1tyloyGmEqFUC1hFiOIC1xjjgB5//4bXDnkOMUxvpC26+x41KpvZwo9deYEn031Zf7saLV1uG/NCl0rql+jZ2XG43XpkT6dUiQRv1D9qTGTGqyQ1ImNG64Mc3Bjf/Qj9+upC7uHDT3jj+m/PpKBBr39S6h/gwJWHu8Faex6GmIWBnJufUlUEP3XiiKDADI58lPfjL96q/+6o7P5BjGGDr66KPpEY94BL3oRS+iE044obGFALRhuVzSueeeS695zWuyjj948CD96Z/+Kb3lLW+hW265BWuwMzFj+CA3xnRWYIRIReUk6XMKe6LHSoRPqn2peJKIiFidMTQ2u+mzXDpdqM/cfVZYbm5ursSojQi5x7uRULed7e3tlVO+vb29evlL7MUvXLqkJo3U3edHaEPHcP0aStkcAoktsXPw8cVjqu4ceyTlXDtL7w3unLWZAW4Zf+Jkc3OTZrMZbW5urjIA7MSNm87uriXd3t5eiVEbMXVffGRfCuaPeck49c+59njV9J1fNvVsDx23WCwu6bqOXyQHRBhjhncQQC9Mp1Pat28fve1tb6PHPvaxWXVsb2/TQx/6UPrMZz5DBw8erGwhAP1w5pln0v/9v/+XjjrqKPEEDRHRDTfcQKeeeir9+7//e0PrdgXRz+bRREylSJxp7cy5NMpTgiZq1YpYxInDjXKGjolF7bgIhx/1tA65WyYUPXKjphsbG6tUX25Sw6+z9Lpqo22t6Ptcco+Tju+SCSOurlr3Ve3omx/JtCm5W1tbtL29vWOixf5vxef29vYR5dz9Vpy69UsmtsZEKgNjXc4DgHXlUY96FH3mM5+hhz/84dl1bGxs0Nvf/nb6i7/4i4qWAdAvF198MT3gAQ+gf/iHfxjalD3JaF5+FHJC/HS6FNJo2FiERk20UaK+xVoqVdOFi9i4Y8F18F2nvIYDm4pyStpIpR2mkEaJQsem2kz1u+Y4bUROSuw50EcEWhPlc3Ft5MaBn5Lrfv2Re1/YMlZ4utFRNxXYt5Wzv2R76lzdtwXXQhqxzr1GAICdHHPMMfS93/u9xfWcfPLJdPrpp9MTn/hE+uhHP4roEVg7Dhw4QP/6r/9KN910U7Lsd77zHXr/+99Py+WSbr75Zrr11lt7sHB3MxphmiKWjikVAa0cl9i6sBJbaqQkuvaUCp1QHdLzddeDupFYP3XXOuq2jK1/Op0eEVnZ2NigrutW0aNcQlFf6bVtFV2LTcxIUpT9eiTtlpCyhSvPnS9nG5fWGTrGt4O7B/oSNdwEjJ9+7n6FjFvWF6P2f//rYmICLrQvZXONMtKyY8goAQDU4fTTT6c3v/nN9DM/8zP09re/fWhzAGjGV7/6VXryk59MW1tbQ5uyaxilMNWmoEmjPDVE3hiRioGSKFwt/BRg61z7qYeSFOHJZELz+Xy1BsB9GYzbFnfd19nxrZ1mOjSpCQC/rJTSPoq1FZrs8ScSQm+OdgWp+3Zde6wrqF0R6kZaY7hCvhaxzBP3vuxzbA79PAMAhHnxi19MP/mTP0nPeMYz4LiDteMlL3lJ8kVIN954I21vb/dj0B5hlMI0B+kMf47TVJrSF/rfF4paJysnVTNEjmjVRmJjKY7u9lCar/u/jaTadaf+sb59kuueOp/S6GlJ5LoPZ18SieREvi+kYvX6dcUiwqnjOZtaRz65Nv39nFgLHeOKTDtB4+/3xajb17Fx0cdEFBfBjpUlqneNxjDRBgAIc//731/9AhkAxsJll11Gl1122dBm7DnWWphq0hNdZ7GGky+N0krq0aa51UaSShk6JobvsHIphW5Kr2uD/SDjrp8rPN1Ikk315SJPnG19iL2SNkqvhdZxl6YOc4T6MyXyY6m4fUeFWwudULqq+/Iitxx3v7j3USqqPET/SfaV9rNkAgUAAAAA68dohWksWhaKPHB1cA5uyumVRGBqOEPWjpRzJXW+Sm0tiVpJj/VTEjkhxF370P7pdLqqz5abTCY7XgwjIWcdXuj4EjghHqqfi0CnxCE3tnMjWdx1qimGSrIT3G2StGBf7Pn3Zir7wd/uj1e/b/y/Q9cwJE65/bnXQ3r9cyZK/AlBzWQi16bkeQkAAACA9WQ0XxcTi/qkUiNTcNE2bUSTc05jx4Tsjm3X1M2hsVFLKm3QLRMSR+7+WLmUYHKPdb9CJnb+3DXsI7LEtasVzDn2cX1Rcp610zBT91RsjPjHp6Kykvs3NjESu4+5fgk9Y2Lj2K/Tn8BJ9ccYSNmXM3ZKn5cAABlbW1v0rW99q/p6uel0Sre//e3pqKOOqlovAGB3MhphyjF256PEUdSK6txjWtiUU58b7XHfKur3oY14umJT2pYbMQUyUhNC/v5QBDFV/9hFFREv5rXjSRJ5l0YxcwSpf4xEwBO1Wy5QO5MAANCGf/qnf6JTTz2Vzj///Kr13u1ud6NPfOIT9MxnPrNqvQCA3cloU3ljuClq0tRFSVpbbedHEvkL/R+L4ITqtI6o9jy4Y2LpdKFtIVy7XGHqpuCG7JEKc98BD/VDLJrbGkk7NdKuffw2+06D7KNvpRFdTeTXvwdjzxpXBMbGrjQCmPqfI/ZMjG2PPV9C+2OUZiLE7vlY3RCvAORz8OBBuuqqq+jgwYNV651Op3TCCSfQMcccU7VeAMDuZDTCtFT8SBxS6Zo66TooV2y5x8ZSC3NEF2eX1PmUOuL+mrocUse5L3hxhWmojpgjzTnONtIqefkR126OGJYIerdPa4jCGhMP7j7J9pjduZF8//7JmSCQTqikhJ5UqMbuJ+56x84n916V2Blqw7dTYhe3XfK8rjHWS57RAAAAAFgv1irnsdWMeGjtV856qdyobEkErAUtHD8bLfWjpq5ADfW9m+Lr12f3S9MW7bEt0I6LWimutSKxfdJXem9uG1r73PKhVNxQpE8jYFsjnZgDAAAAAKjJaCKmuXCz/9rojh+pcMvUimJI0DiEsahHTVs50S6NPMfqiK0zldSTm54airbmONo1JhlapBGHInvadaGx4zQ2l0bgc8ZZbEyVRDNj9fjZBpqIpH9faQWxhj6uXaptbb2S53tpCjEA4NB3N97pTneiBz7wgaOc0AQA7G7WWpjmPDRzhYA0xZUTYf72Wo6TRJSWfLBohIy0XWvzcrmkxWJBi8ViFQUNOa1cBHQymawErjZa6h7v0+KDWCvca7ZVkpqd02buhIGEWIps7XN0nxO1+pCb8HL/lj4XpJNwLYCjCsDu5gUveAGddtppdMkll9Dm5ubQ5gAA9hijE6aptY6xiKeGUsGodQ5rO9LStWPa6J0Ge61SUTm/zHK5XAlDK0zdNF1XbPpvRLXbF4vFDofeCl1/3aovMDj7Y7aXRDQ1Y0sb8feja9pjJG1JbPTbr7k+UkNOKrM07TpWLjQRJW2L2xeL1trxXxINDtUbKpNzTWJ1504o+vWmygIA8kDWAQBgKEa5xjQ3pc3COXK5a0LdOnKItZsjhLW2tP6AyU0PtefvrjN1t9u6JWtFQ+v5UmIplmpZKyoVu86aNOYahNqSiGaNsJbUpU0ndQWZ9NjYvS+xwz02Vo9kUoAbn+7+sVHyvIwdUzPyzPXlWPsTgHVie3ubrrzySrrxxhuHNgUAsMcYnTDVOBdjckRqiOhYmZaRz5pwjnionI1yzudz2traWkU8icIREnucW7dNCXbb5Y7V2D9WOIFUmio85HgpTTWXpnCHhGGs3lrE7gHXNm1d3MRLznMotmZTu27Tn1Sq3Zd+OwCA+lxxxRX0Az/wA/Ta1752aFMAAHuM0aXyWrh0tVBqpO88SVKAU6l9mtTAnDTC2DGSfakU09x0OT8CUZrGx9XjOuRWnBpjaD6f03Q63ZEinIo2WjHrp/By4lSSlhtz0rXOsDYqGDue6z/f6a8lSFLlY5HXWmmaknuGa0+T4hyqu+b9qq1LWqbkunN1SMf30JMcnJ0QqQDUZblc0ne+8x1697vfTfP5nH75l3+Zjj322Ky6rr/+evrLv/xL+shHPlLZSgDAbsSM4UPdGNNNp9MjtseEJkfMEZWkk2nbi7XhIkn1c8tx9cTEd+1UOb8d3xnkIimcQIhFdyaTyaqe2WxG0+mUNjY2aDqd0mw2o9lsdsT6Uvf6WlG7vb1N8/mclsslzefzVfR0Pp+LU1dDkxY1IvKxayk9lluD2HXdEV+dE2rDryc1zlOTOKH6YnWG6g6hEXSxshIBF7rvYn0owR/zOVFRzpZYOYlNJZkEraKfsXpjKdyh5wwR0WKxuKTrujPqWru3MMYM7yCAQbntbW9Ln/zkJ+mud70rzWb6WMYXv/hFesADHkC33nprA+sAAGtI9LO5KJXXGPNlY8xnjDGfMsZcfHjb7Y0x/2iM+eLh38eVtCFlDAK7Fn4ko+a6rNz9XHlpSiRnv42U2qjnfD6n7e1t2tra2vHjRkSt+HTLWVEaevmRhFpOv3tsDVEbu/YpR741rdrQirhUPdpjhkxrjjH0823Ifhn63NeRMX02g/XmxhtvpLPOOov+23/7b0ObAgDYA9RYY/qorutOd9TvC4noA13X3ZOIPnD4/ywkjiInAGIRnlD0qWZkzBVkNVJhXXLr1BxjIxg1HXU38ur2t/u/KzClP65o9deeas/bPX9tWX8yQXO8ZAy618KPWOeO3VgUKgYXHZeOFf/e0PRbLMIreQ5I7NIQ67+SVNuQLTWeC1wfSc87ZFPIrpJnq2Qs+PeDGz0d6wRDzzT7bAZ7h+VySV/60pfo4x//OL3rXe+i66+/PnnMNddcQ+9617voXe96F/3TP/3T6h0QAACQoiiV1xjzZSI6o+u6a51tXyCiR3Zd9w1jzIlE9KGu6+6dqKebzWZFKWaH61n9doWPvz91fMDGqAMmqSN2bMiR1aR95rbNEXKupeKBEy9+m3ab+3Ux9mc6na7Sfe1ve7wrQv3IK7fWNCedN7Xd3ecLRa6cVGikIqQSu7nJl5hQGoMT79oYG2uSKH2sjRD+d+mGjpXcE7X6Uzrh5u7LzRYomdzg7NOMMX98ltjkTqrN5/M9m8pb87O5raVgnTDG0Ic//GF66EMfGi333ve+l84+++yerAIArBnRz+bSlx91RPS+wx9er+y67lwiulPXdd8gIjr8AXiCqKJMx4gTjFJnSYP0WK1AlESEubJchDZkZ6mjLBGlKac5JfDcr4uxQtMVpG4brjh1o6SuKPXf7svZVWM8+P0eiqDGJhtKxUEKqXCqITJy6UMch8ZhanzaMlJyJom09UonVmq27SMZRxJq91XrvlgTqn02A2Dpuo5+8zd/k25/+9uvth133HH0ile8gt7//vfTq1/9aiIiuvrqq4cyEQCw5pQK04d1Xff1wx9w/2iM+bz0QGPM04no6dy+kBAKOXw1HJuSOiTCQhpxtOeoca78yF3IadVGdqQ21BK+bnTTiszJZMKKQDdi6qcMhsQntz9F7FpookCS42NjW2uDdLzF6m5J7B7vkxr3PUftDIacOkqvfSqjQlJeOwli94WeZUBMk89mAC644IId/9/xjnekz372s/Sxj32MzjvvvIGsAgDsFqq9ldcY82IiuomI/n+UkS7kvpVXK0wl1IyIpNqQpNzF6giJkVT0VxIdruWIS9IuU21y9bm/3Uiw3eYLTU6UpqJJuSmCpWjEoiU3mloqTGPR+RpIMwHsNmk/aCdbWkVqc+odQphK63LRZKHkCFO7reQ+NcbgrbyHKf1s7sFEsOZsbm7u+D5xAACI0OatvMaYY4wx32P/JqLHENFlRPT3RPRLh4v9EhG9M7eNVriixxc/PpzQSdXrH6+1LWaL+ztme0jYuXVpI4e+LamIit++LyQ5Qcml5/ppu6EXHklEKXcuIbtDfZdLaqzllvXhzjnUP7E6/HHWR7qtb4Nt39ojuV9jDHEeIbT3YJ9wAt5Prbfbc5BMIEjHrH+fjuX6DsU6fzaD9cS+QR8AAEopSeW9ExG9/bATMCOiv+267j3GmIuI6E3GmKcR0VeJ6EnaikPiriT1VOOshBx7LmqTE/3y24mJS6nQch13ST1ufa2jxbGoSei7Sn2H1K3Drh912005r759oajPUEIhldro/i4RZrZMLPqtsbdGlD6nXa7+kokWrp1WAifWTxoRpp10cY9z2+Ii07H2U9deM/miKce1u9dFaIBmn80AAABAS6ql8hYZ4aXyumjTYCNtiO3pI7VRWkftc/LPIxbhzXEAUyI7FnGJCS8bCYml7HLEBK5fTlJXK3wbY9FtzTmERBtXh0bo+PZox6l0okQiOlPCSjqxVXoMZ1Oo3lD5UmGqgROmEltS17MPQS9pA6m85Rik8gIAAKhL07fyNkcSRZBQEgGJia1cYtHQlJhwxVmpDRqk4kjbX/75pARzTNTE2ikl5bBrxKMfeQqddwptlDJ2DlIRan9Lo9U17EhF/UPH+eVqjY3Ytc5pQyNIW6Lp+5oTNZJrWOuzAAAAAADjZLTClIuCaFL2SkSEJF2tBrlRSF8USKMzkshsKEoqPfdQv8ZSfX3RyTmg/raYPdK0Xs6eWHmNY5wjglJpxjlo02Q14o67x7T9mYrgu9QQJtLrEpoYqSk6Q88obsIiZwyW2Oefb+q8UxklfURUAQAAALDeZL/8qDUlzpc25TeWFhqKFtVwriRRkj6cuFqObkkETVq3JZbq2gpNGzWvW0i4+O1p2rTlW0T3WtWTe53dcy29Lq2j8qH2atdpBXrNZ1msb1JtSZ7ZiJYCAAAAu5vRRkyJZA653R5yemo7kJI1bLnOq1ZY1KyPIxXl0KaRxo6R2pMTMWplj6adWBk/ihfrV2kUPHWvpEhFvUrSmUNoxljILi0tUvw1qcWSbZr9GnLS7luSm0ECAAAAgN3BaCOmUkrWt+XW2ffsvVSg51IzciJN/RsL9lpKBFDLc0pFk6TReo2N/nnXEHp+/TXKuLS4Frs1EicZ2+tiw7o8TwAAAACQz6giprUd41I7xtCOnx6rFZASwaWpR7oGMSeayrFcLnecc85a11jb2igNt9ZVspZWYm+tccdF7qX9UVKvNJpdO0KpIbbWOdZWbspz7XPV3AexOkJruEPZH1x9bj2x/qo1tvvIEgEAAADAcIxKmKao+SKNEgdG8iIQdx1XilovBunzBSMxxzjHEc15uYsknVSyPdZmrE9LI9mp+qSE+ju1zb+fpNegVsSWo0YGRKg/JKnIqTq0xMaI5Jpp7eAmCzg7ao09yaRMX88iiFIAAABgvVkrYdoXuQIvdw1kCZq21sFxyxUEOX3uR6FrrV1t1c+SdaguvsOeu9ZW4viPbWzVjEBrqJn1EVqDKp0Yy6FlVLo1Q11zAAAAANRhNMI0ll5m0UbSSp2UvgSSNvW1NKIY2q+N7krKaVMmfbj0UQ2SyJB1aEtFRU2nOGaLdu1mzGEvWf8nsa30+mvsiLUVm3zQjPu+JyNs29ykhOSeGHpZRB+41xXiFAAAAFhfRiNMOYZyqkrTg2ukI7Y4dginLRVF1tqUSltNRZlC6+JyIs+SdO2S6Ltkm29PbJv/f0iQ59ickwqd2l/7PmwhikN1a/dL609FQ7mJPLc/tMI6dI9wKcM17mOubgkQowAAAMD6M+q38lrHv6aT0ocDExJO0shM6ny5uiSR5drnvk7RGE501apzt9PyPEsithbJvSURztpj+8Ke37qIL+lzO+echr4WAAAAAGjHaCKmtR0O6ctg3LZLIzRaarbL/S1Nk82llaMcivxJ0ltT0VktfnTU3db3euIUMVv9MlJqpEiWRF2lEdfcFO9aY1g7FrhIZE4Ev3UKsdtOKhVaey+ExlSsnnUR5wAAAADQM+qI6WQyoclkUs0Z4WbxWwiLkIOds142p60+j88hJKg53H5zf3PbQ8ePkSEc7JpjJUeEcOSu2ZTcT6mJm1poRW5qgkxStqSdEtwopybiGSo71vsTAAAAAP0zmoiphNw1gdq6tdS0peTlPrnRo9LILWePJI2vBiV9H4vGxfrEX7MaqzMmQrQvr8nps5itObjrUiWRrdgEgq0jRzRyaxxjdrjHaKO/uWnCtY+xaCLHsfEZqkvSXqic9FnSOtKLyCoAAACwfoxGmHKObh+z6THhkOPcSAVOKnpQKpRbpS1L2i45rlQEtBoz/visvVbVFbGpCDCX3uzXI0lnlqzFjgkZqajRtBkT9q3Gbsi+0LmXPBu4rA3NsgPXrpLU6lwxrRWc0nTgVH2IrAIAAAC7n9EIUw2lEQqp+NE4oOs2Q58bqWqNVpyXrPMc2xpRDkkEzD2P3OuaSrXlRHnNCHsNak3sSOqvHXXNtSc3jTg3q0JabizPEwAAAACsD6MRpq0cX59a6Yxufbl11npZiGtLrP5YxCInxS9WRyzyJDnvkCCrKT5iYy4U3UrRMiVc2r+ldpRGxTT7JHZq16eGykqupeZ6c/bnjE9JhoO0Ts1Y0D5PckiNUw2az4WxTzgBAAAA4EhGI0w5uFRForxIV0l0o0Qo5zrjIWqsn6ot+DXpmtL6fGo7mjXW+EnW0UomAew2Tb/liFFugkC6LrBV+mxOhDfUV9Lzj01ytBA0kgkFzf1TI9rpr/vNiaznXAMtEJgAAADA3mHUwnRs6WCx6IUm6hEr28c5t4pIa+srjab05bSmREuNyQKpHTUFdSubJSKr7zTqFm31IeRz12QS1T3nIa9XbvoxAAAAANaL0QjTUOQmtsZtCNt8u0L/p+oL1UsUduz98tJUPMmLcPy2JMe3QpO+GEunjAmxnHPTTia0SF0M2Z3qo1QZiR22jlgqe1+TMNo04FB0z48clhITcLFnRix6mnttU7bUzARpib3WsXEG0QoAAACsP6MRphyhFD/JWjx/lr129CDVbqh8KvJQsu5UmuIoWRcnWV8ZOq+UkOfEgFTcaIS8pCznoGvEld+u5PrVEojaY0JCpGYkNTa+W6bf57YVsrd2H2jSc2tkD0js16R+pwRyK9uGnJAEAAAAQL+MWpiW0Fd6pduepN2Qk6ZxpLm/3fpzUmprRff8v2PbNPtj1BIw2iicv23o1OhaxNZ9aqPwQyMVX7VTVbXZDTn0nco+RF05bY9tDAIAAABAxtoIUy6KRaR/4Yu7XZuCGYosSUVXKu0216Gq4YjlRJbH5hinorTS68Zdi9IIXMperQMuPTZ3XIXGbKpfcvouZSN3vUr6K7St9URArjjVHpeavJLW2cdEC3dNc8Zs3xORAAAAAKjPZGgDSgml4Umili2ElSZamoMkxXavUdondrzsVse2dC1mqGxJe35Z93fta8EJ5Zb3kH9OEptS5WqmG7d8/nGU2Jlj426+lwEAAIDdzNpETGtSa61Uqj6JU6WNzrp/28iC+3uMSCIgOevyUmjTTYcU/NoIlmZsaR11acRKuw5QEhnlImixaGduxoR2faWGmIjUrkFOpY1r1gfb43KeF6H+0ETuJYz1GQYAAACA9oxKmEpTvVqLMKkAkNohXaMndSo52yTRGV/Quva37NPUutpQCh93XM21gBqhV5rqzPVtSdpv6zTLGiIjVi8XtdPcS5rrMNTETY2xok2lTu2TTqJpnidSuGsvHWexe6VGqjcAAAAAhmdUwnQopGtAbdkSx9zdro2e1GCMDtuYo70uudG30jZz668p4kP0EWUOifrUMaV9R/TddNJ1GJ9Eupev5Yj7mtQQyQAAAADYPYxGmLopqZZUtKAPpJGk0Es8YsfsZrSR3SGurUZwpOxLRbKkETG3bI0IcShFOjfqxdkZa0vbx74gLLGRe37k1BWbXLL1So8LnV/oOnNZBTkMGWG35C5t0N570rYAAAAAMC5GI0x9+hRzrdYyxvan1o61ombULyetsm9SNubY7ouFkAgNiXPuOtcQilxbqfR4Xwzm2JCbXsvZwxFb3yiNDvrbtBMk3DnGypYIdA3cOJKm9+YsC/D31zyndYpMAwAAAKA+oxKmoTVRYxY+pUiFUy3BUsvxG8qBXIexUCrYW0e3JEJQs96zL2ql1baO2mvWgWrqHOKe6/N+gygFAAAA9jajEqZ9Uir4Sl9sEhPcOZGeHGqmNfplcqLIpe1K2xoi0utHp7hIpVs2FmGtPcGQaouzP7TNrddu17yEh9tfIvCl6xWl5bgX+MTKS9oK1R0qk4q+x+yJjTm7XXpOY1sLug4ZHAAAAAAIM3phKnEytFHVlo5L6Ytq9oJTVRpJTB1fQ9Sk6q/hBEsc+z7HQ84awNjkSou05JI6awunGtdGapPG9px100OLSt+GvfAcBAAAAMBORiNMh07Z1UY1/bJuBCXmYLn7U1Go2HYpMSGhcYr9CFEu9vxz1iPGhFzfExPcWsOcF8KE1iP6ZUrXcUqOzVlzWLo+NUXtNYyhOieTiTpVWJoZwI2LkjEYGwtcZH4ymYjq84lF9aV1aKj1bAEAAADAejIaYUoUTz+TvtDDr6t03aoxhpbL5RH2laaWrlN0QGtfKjWV2+b+n7o+khTDdXBQ/QmQkIjh/temx2rSLmP9n0oRLSV27bQ2ufu4iQS7X3Jf57Sdi7aPNam3khTqUF+lypZSI4I79mcpAAAAAMKMSpj6hIRLDSRRDE1qbUshJImsxo7NWePXipgI8PeVrFNtIU5jfZ9Kw81N0y1x1kuimLX6LmcCpsW1Gzojg6PmOYbGZF/LA2LXDGs/AQAAACBhNMJUOpvvlk/Vp6XP6Ie0TI5NviDp0zEMRagkETq/XM66Oum4yL3WUlGq2d83OSnHpYTSlUNpyjniNCXiQ+I0lm6vaVczNkozLvx6ciO6OfdYLq2eQxC+AAAAwO5gNMLUpXTNXc2XeuQ4xzWcTu16v1g/+AI1RM2okqauXEGSEh+5aypT5UvX3aXGLifO/ciXX0cq2uzbkhpnsXPQpAVr8M9JKvi4MSO5Z2LnFhqHkmtf2j+ha5pTh11f6p+XZDzUQroOt6ZIHttkEAAAAADSxN+KsQbsdgdkLFEAieNYIxLX+nqG6p9MJjSZTIrbH0v6txSpiG+VElr6Uh3NJFRqwitmQ2z8j+E6cvSZFQAAAAAAUMooI6YpJKmh0no05bljU8fXji5J0hW5diXHa4VHaZpyqCwXxasdzbV1c3+n2mq51jkXSRq0ZEz0gd+/OWmoqWNS0daQIM9p091vBWztscptC93L3POxpkitUW8pLSO8AAAAABiGUQrTkLjSOHupFMXS9WxSu7ROqja9lDvOp/T8tEJfenzKwfb/z3H4NevPUmK0phDXXpNcsZO79jCU+unbzaUYx84tJv5T56jpg1SqquQ+k96LqRRorYiSRGZtH4faDqU3xyYsSp8RuWIc4hIAAAAARGuWyss5lSk0awdrEVoPqK2DI5VW6JfjtvdJn+0NlW6aW5+mXlc8lKw9bE0sEumK21Z9WqucT80MDQ1cZFmTfs1tc/tf+nx0n7027d1Pf7fidCzLDwAAAACwXowyYhpDEumRzN6XOvS5kU0fabSihgCpHXXTlnHtiP2fOjYVAa+BJtI6NlrZLHkxUOjahPpTu4a0RpqsJJ09937LtS1lU2w85k6CpaLT3DZ/YqymEM3pe27CBuIYAAAAWE9GHTHVOodcRGEsTsoQka2Qo9fCFs5p3S2Unk/r8aeNoLe8PpxwcX9r6qltV6u2agplDklqb6g+7hnIbZOOH26s+VHTmhkiAAAAANg7jDpimpPq6JIrbENRFGm9oWhqrSirhFT0IZQOWhJRrZ1iGloPJ1m/FxNEknV2y+VSdD6SyCo3MeCXT4mE3P6URNpS0U9NlK5WpkILIRuyU7NuNbams9S+0uNy1rC66bf+efhC1Kbx+nXF+lIqfnMjvalnNQAAAADWh9EI05oORt8z9qXOtuT4mPjLWV+XSg/MIZTiSSSP+uTYUtIPqXKaVNMcJGnJOeMr1Sct1niWCuqcNZPacpLxVmMCSTMmcyePUhkR2udNSpRykXC/vaFS4CFIAQAAgPVnNMLUZQinRhoFdaMLLQk5eJoIhFaU5Kzxss7qcrkUH+MeG9oWOn8uqlOTviLZUuz5thpvteodKn27tN3YOKtlU4u+4aKULa6lHXt+iq7m/iy5p7h7XRJ5hVAFAAAA1o9RCdOxOhO5KcH22JIoYKw+SfpgH45ajnBKRddiUZ1Q1Mvtm1i6rn+M1L5cUtHElF0tBEeqf3whEioXa8MtG4tC5qarthjTNfpaes9JBKU24pyKsoZssOX9tN5Y+5Jov2+HBP8+1l7nsX6OAAAAACDOqIRpS2JRNmkqbcxZl1KSlqlBk1ab25Z1YrXH+evUuOPd6Ehf6ahScs7ZvR7cubp9qam7xtpGST9qzjkkRqVZCb5NKXGUup8lYr80pTw1kSQReKHJAi5VlhNvOQJXOgHE/e/+5s4nhFa8pqKwfjYLAAAAANaTtRCmIafLdcxSM+ulKWUxO2pQOx3PrZP7PxWxbIFbv/8mT/ubu5bW4bTpwn5fSSLUY3FYa0XHaqBdg+jul04WSO67kOiJ2SKNAMbq6JOQgM65BsbsTJ0viS7G2rB1hyLAXKQ/p41aZWuePwAAAAD6Zy2EaSrtMFZOsz+XWApdC7SRupr1leALUCtO/R+inc72crncEaHxnfJURCVmC0eoLi6qJnWYJW3l1K1tL9VuzTa4spL7lrt+LSZuahEbH1Kkz4+YiOe2paLHkvRtySSAnTyqIQxj5yQVnxCoANRhOp3SAx7wANrc3Dxi35e+9CW65pprBrAKALBbWQthyjHE7Lg2HQ4cwhehk8mEptMpGWNoOp3SZDJZ/XAsl0taLpc0n89psVhE0wjdNkvGR8voeE3GHCWqJa5zBZ5vS2x/DfrIqHDbiUUwa+FfBz+C2vfYqzEZBACQc+yxx9I73vEOOumkk47Y98u//Mv0V3/1VwNYBQDYrayFMA0535zzKkn9y3FatFEvjR2tHMqcqHJtG9zfVpDan8lkQrPZjBWmfsR0uVzSdDql+XxOxhiaz+c7yrnEzlva19oU0lxCEVmtGJP0QygqF2srd61lLOKpTTGPtRPbn4q8xerNjcqFhFPKXslxnO2SekPlUsLW9qH97f5dMiGieW7Hjg3ZDQDI5znPeQ7d//73X/2/ublJxx9/PDtx/NSnPpXOPPNMIiJ63/veR3/3d3/Xm50AgN3JqIRpLBUuxxHSrEMrQbPmLodceyVOXC2hGnIw3RRdV4xaQTqbzVbbQ2LJpu/a/Vao2m2uU5/ztTU+3Dn4NqXOmzuPUBuxY0MplyE0abz+xEFNUjZqUphz7Ctd/xiypTZuX/iCrzTazPVBTJCnnmHc5AI3lnL6O9XX2r6AWAVAx759++j2t789/cRP/AQ9+tGPFh1z5plnroTpDTfcAGEKAChmVMK0FKljU+Kohtoac0pljFznW9qfburu5uYmTafTHcLUbrMRU1dguqmCXdfRwYMHd0RvlsslbW9vJ6PDtVIOa17j2uMlV7wh5ZHHF4stkY6F2nZo6uPS532hGnsmlC6D0Ij1dXwOAzA0P/qjP0qvf/3r6dhjjx3aFADAHoZf1Dcg3Es0JMKixmx7qYBxo4MSO7j2uG2SdD2u36TkHMs5qi5uBMWKTleUzmYz2tjYOOJvW8ZN+bXb3DL+i5M4W2pHxm093DUOjduSdtx6U0jariHQpanTfn/E7gtt+7UmGmL1S9qvdU5E8RcP5WSK5GRwuGPbnQBKPaPcZ0Go7VrXDaITgLpMp1P6L//lv9ATn/hEOu6442hjYyOrngc+8IH0nOc8h44//vjKFgIA9hJmDB/0xphuNjsUvC2xJyZEJCmVLYSMX6f0/HKiGZLjuXOU9I0UV5Da9F0rKvft20ez2Yw2NzdpY2PjCBHqYl9y5EZitre36eDBg3TgwAG69dZbaT6fr378CGvs3CXjRLIOLtVvoXak40xzXTT3TSraXTr2tPXFxmQqvV9bb2h/aZ0lz45QVDY3OqiZxJOcj7tP+ozNiZ7G0ESubXvL5fKSruvOUDcGVhhjhncQQFP2799Pl156Kd3rXvcqrmt7e5se+MAH0mWXXVbBMgDALiX62byrUnktpaKyzzV3EgHUmhppziHcSOnm5ubqt5vC64pYm6JrhSoXobJ12vWkboSnr5RqiWgc4zhcd2pc31yhlIo2lk6q1bDD2hI7Tmun1C5JH5SumwUAAADA7mUthWloZp772xV7rZwmqX012ghFYFPOaChi1IfD56bzcj+u4HSiHUecg38ebrqh+39uJDinPyTXoA80kUWpvZL+0E5qpMpI2/Sj6bFysfYlEWuuHk2EMyeamiNSazxbUs8r/97yx1Ju5JezJfdYAICM7/3e76XTTjuNjj766KFNAQAAIhrhGlMgR+Lkp8rWTOP1j3cFp/9VMe5XxrgClROsEme3RpQ0R5TmHhc6r74J2SJZN9jaLgkp+1LCNVavX7b1dStN85eksWts0PSddFJCMpZKx9oY7isA1oGf+7mfo3e+85108sknD20KAAAQ0Ugipi0cCU6Uhdav9ZX+maIkWietO3VMzWvBRbCt+CSKr62z0VO71tT9ihj7E4oe10r19IVnH/3W1xrkUJ1+1NkerxVx7r7c6JdW/ITa4aLs6yJeYmue7Xb/WSeNcsfW2OZEfyURbK4u7npp7mGunnW5vgAAAAD4LqMQpi7SlNvQSz8458ffzjlztdA64drymtRgrYPa0pnzI06aKJwt6wpSLoU3dGwufQuYWJp2KCW1xL6aaaApJNHlUHporD7ueP//nAkoSZpzqmxJ/2rGbex5aPfXSrFNYe8Z6RIDzh7JfbdOkwsAAAAAkDEKYapNM+OiObE1TzHRUtO5GUPUNUTfa7askHRFpd3uC0tOpHJCdD6f02KxoMVisSNiWitSmqKvyDon4iRt17CNuw65ky2tSQky9/+xZUfsFbRR1FAZyUQixCoAAACw3oxCmBLJnYpQpCTHIRmDE5OTkimN5oTKtTrvUDTXpuTO53MyxtBisVg5m8vlckcU1Za3+1wxan/81F7ODkk0VXIeXLS9FrmpqXYblw3glg/VH0oLjRGLZuWKPcl4jolKTdSdIxV1jaUox45L1Ru7PrFIYuz42BjRoD1nzhZ/uyTVNtVO6l4AAAzLBRdcQOeddx5dddVVQ5sCAFhjRiNMidJOcq4DknJmas2054hMu97S3SY5tnS9XmpfzQjrcrlcCdPJZEKLxWL1cqPFYkHT6XSHE22joe5xbqTUT+flBIovpELRdglDpPRqHHBbXioYUymebplYuxIk9ceug1TA5KT2xtrN3Sehz+O58Z47GZa6TiFRHboOri2a/oYQBWB8XHjhhfSSl7xkaDMAAGvOqITpELhRuiEcntoiU7Jf2kZOtMVPQ7Xi0hhD29vbREQrUUpEtLGxsTrWTfedz+e0XC5pa2trJUzn8zltb2/T9vZ2MFoasqtPaom6mnZw+3Jtq3F+tVJqc9KLW16TVnWvU5oqopoAAAAAyGF0wlTqQGocHUk0pRWS82llS2nqb6kz6Uc0baR0Pp+voqT27btuaioR7YiQumm8obfyhs7JnkfuBESfIkYbGcpNLZWMN00ELLY9pw2XEkGptalmWnAsgp9LDXGqGVOS8Si5PrXuIYhbAOry2c9+lt7whjcQEdHJJ59MP/IjP6Ku48CBA/QP//AP9IlPfKK2eQCAPYjpO5rEGmFMN5vNjkjJbOmIaNuRrofz66x1PlqnVNNuqY2hCIndPpvNVj/T6ZQ2NjZo//79NJvNaGNjY/V9pu71397e3hElXSwWtLW1tdo2n893iE3J2kPO0S4VClwfSPtTck1L2pCIo1pjP9Wm3Wf7PGeyKGdsaidnuLa093VIuKf2xWzPSUGXEJrAidkVO16zjasj1rZmzB9eJnBJ13VnJE8CBDHGDO8ggF74yZ/8SXrnO9+pPu4b3/gG3fe+96Vvf/vb9Y0CAOxGop/Nk9COobBOWF+z41rnKycqVOt8QuspW7ebg9uuH/Xc3t6mAwcO0K233rr6fcstt6z+P3DgAB08eHD1s7W1Rdvb26uU3tj1GMNESwxORGvo+5qWRhzdyQP7WxK163vcStrLnbSplfmhrVuKf4387TVp1c/usYisAqDnggsuoB/90R+lCy+8UHzMy1/+cnrSk55EN910U0PLAAB7iVGl8vqz61y0o0Y6W8jhGtM6rpwXleS2YXEjJtrorFueO9Z9oZEtY9/I6645tfXZdF0ufTd2/bhz4c41tC0Xbn1tqnwJtdZo5pIbRc0RaaVCJUbsutWMfPv1SeCipJzwqhFN7bpulbXgb+facbdJMhH6eI61iioDsBe49tpr6YMf/CBdeOGFq3c/nHzyyXTCCScQEdG3vvUt+spXvrLjmA9/+MP0kY98pHdbAQC7l1EJUym5AlK6JtEn5LDaN+q2dIJaiWXJ2r5a7dq2rMicTqer+n1x6kaFXYHq/t9KULamht2+kJKI9Fq4qbgcNcVyaT3aVHZtSnVf/dAH/qTS0Lanroc2LRsAIOd5z3ve6h572cteRs973vOIiOi8886jpz3taTvKSl9ACAAAUkYjTKXrjCTr6VKRl1aOS20h59dd0+5Qfbnn4DuTXMRkuVzSZDJZiUtXYLnOPpf+6bflRkn8D8eS/tOsYyslFBGT2MbVIdlu90lTa7WR59AkjvS8YmsLNesO/XOM1Z9DagzkCqtQpFFqt38PaceTewx337n7JGtF/X2pZ3pqoiXnfAAActzP07e85S30xS9+kYiIPv/5z9NisRjKLADAHiH58iNjzF8S0eOJ6Oqu6047vO32RPR3RHR3IvoyEf2nruuuP7zvt4noaUS0IKJnd1333qQRxnTT6TT/LKjc+Qw5Pi2cWqktrdssaSeVruf/7f7Y6Kj/t2sXdz3clF73q2V84VQSReT6xLelRJSkxllKfEnakKCNKPptp0SNf2wNQZESQiWTVrk2xdp3zz1kg2RCR3ut/XtAIiCl4y52XM4EReje8p8f7hKAmJ3u/t3+8qO+PpubGA8AAGCvUvzyo9cQ0dnethcS0Qe6rrsnEX3g8P9kjLkvEZ1DRKcePuYVxpgyxengpnj6uMJn3en7HFynMNbHpbjpuO7LkNwf+8ZdP4XXd1j9dam1WKe03hJy75eSiHrrcx66T1OR5VD5VFn/vpRMvmjuj1rPTkk9OdcoFdV3295jvIZG8tkMAAAA1CApTLuuO5+IrvM2P4GIXnv479cS0U8529/Ydd3Bruv+jYiuIKIfkhhS0zGqQSrqwJXNcb5Dx3FRxNqU9pcfCXWJOc6uQ+6KVV+IxvomlFJaEi31zyu1P5aWqB0LmmvhpmuWjLkcUsdKonVcGe78Y+PL3Z9irJNWqbRWKTUmk3Ki8hpbQ+Oghj1ju6590ddnMwAAANAXuWtM79R13TeIiLqu+4Yx5oTD208ioo855a48vO0IjDFPJ6KnM9ujDot0Nj6UIidxYqQpgqnjufS01PnF6uu6rpcXLknQpkf6aY32+sQcVJvCF0qFdK+xVgRqjvFtDtWnbTsVCZKK7JIoZu49omlDg6btlL3aMerbkRLYfnnN/1K7Uu2mxkhq8sT+znku+e1JzyXWdzn3M9hBs89mAAAAoDW1v8eU80xYD6PrunO7rjujO5xnLElnk+JH5EKkol5SpOVzohJumXWNDIRSHGNRPy6y6q4tjdWRinbWImdsaciN2nJoImqtIr2llEYFtW1JyZm4kpzLOtzvkqwObZTdve9BNbI/mwEAAIC+yBWmVxljTiQiOvz76sPbrySiuzrlTiair+ebNxxax19aPiROa6bN1ULjPEsmFrgJA19YSvbtJoc1dj7aiF9oHIUmBlqgSa+19mjGTqieVuRMXoUmWbhzyH0ehI7VEEuh9uuvMQHi78ud1Ig9J8Du/2wGAACwe8kVpn9PRL90+O9fIqJ3OtvPMcbsM8acQkT3JKKPaysvXbsnTZtr6cysQ7TDRyKOXWcylWaYwkZBuQiJHyV1yywWi6jYanFNU0IkFvGV1NfHObSgT0HgC5k+RKkEqeDsk1zRp83OkJxnStiv47NyxDT9bAYAAABaklxjaox5AxE9kojuYIy5koh+j4j+iIjeZIx5GhF9lYieRETUdd3lxpg3EdFniWhORM/qui7ri684x50Tp1IRmlozVhPp+jKOlI2plDhtm34/aiNBsbVpnD1+Wfd4+zdXZyxipjnOt6kkZbN0XV4Iro80x+VGpTQTOikb3PGUe99JxluovtJ7veT5EEtv1fRdaJuUVFuSiShpHX5ZzaSMv02bPbJXhe1Qn80AAABAK5LfY9qLEYHvMY05xDkOW8xZLXEAa5IrLiUOe0ooutty+8EVif722DGugysVu+42TpSFyuei6RdJ2dCYC11H6djgyklTrrX4kwqcfdJxGRN0MVLHadJipWVDYzQniyBXvHM2SPqwRLRLJ000kyv+vVJrwme3f49pHxh8jykAAIC6RD+bc9/K2wu1I5xDi04NGltLozslQjRkh6bO0mhQH5MrmjakZXMmVXKvUx8p660iyCW0uOclIkvbD+v0bJKg6YPddu4AAAAAyGPUwjRG7kx/KjrBCao+o6m1Ugil5Uujo0Syt2jG2vHTtHMIRdNrRApLbOrL6dZGX2P7c8d7buQzFfkL1ZUbYc1BGwEMlXXvFU2ataSd1LacZ18MTcqtZpJxbJMbAAAAAOiHUQpTf+2S3SY5zhKasZfWM+Qsfov2pcKQKF/gamyJtSMRAdLr2yJ1tc8JipSAye137f3k25XTvi2fWmPo1ispW4ombZzbl+pP/5x9caollZLvbk+hnbjJuWfdVPvW9w5ELQAAALC+jE6YjsWxGNoOPyWwRmSFc5BLneQcO/o6rqStWIpqjRTzkomTmnbkHlsagV639M1SQR6rs7VoC43lPlPg+7jeQz+zAQAAAFDG6ISphZvJ77qOJpNJ0AFJRS4kzlFJ6mdtJyxlg9TBl0TIWoiTkohQzGmPrS+t5XiHosiSKJpbVpOyKYlQctR0+kv6rPWa2VjZvu65UmICN+d+4cacX5dfJvQ8GDrtnLOlVmQfAAAAAONndMJUkioWE1paYRlykkpe5FIayepzDVaufaX9y5VJbdMcn4svbKViSCLSJW1rkKzhi41vaRuceApNHPn1l0Qates4Y2ONE2d2e854ltidekaFbOPa1E6ScPa2jFSH6o3dI9K0bh9ERgEAAIDdyWRoA1x8J8p3dFs4VTXW7qXqqolWsGmjdqE6pDaUXifO3prXqBXWXulaXa5f3WPca9dC1EoJiaJcciPHrY/xr592HIdS5Lk2Q/tj26RRQW4cptqQ7Csp69sW+r+0PgAAAACsN6OKmNZ0WrVOpTbKqY2KtGKs6/U01zIVseLSEkN11SAWcQvtz60rdoxmrNeKjMWisNxkUciGnDb6hIv0piZCfFJZFn3dl3701/7t7+OOSW1zcevUpm1rxor0/tDuAwAAAMC4GY0w1Tgr1jEqdWpz1rlJ6ttN5K55yzk2VI8bReX2j41UH0hTVGuM8VpIJmDGYm/ufS2ZAJGeY+nkhaS9sWZ1pHCjwKUTa2MYbwAAAACow2iEqRRtNElSlybixK1Ji6Xg1XYENeJsaCdU2gehVOOUQ17TKU3Zaq+5NJqeSnd220zZZP+WRsO4MpI2QvXnIFk3yZHTpnTcaOvUrhFNUZJuLJ3MiO3T3oeSKGtJe9Iybr1clNrdX7JsAQAAAADDMhphyq1j1DoXuaKVE5uS8n5bfUT0/LQ9N71ytzhjGsE2VrRCQjLZIW0zt/8kYroFOeJZU59kAie2hjMnsieJ8JeKc4l4zhHNuc/PEDVTnENt1bh/AAAAADAsoxGmLkM7FdLIgJ/GWJOSdMRWNrUm5eD6axxrtLeOjCVllqOPMac9d020O3b/lKadaqk54dTK7pyoas5xuROHAAAAAFgfRilMOSdE4phIUhxjx+REY2KpnxK0QjJXkEgcQa0jnNPPqfpzz69UrIWibK0d3FjaZO0IZmoMcFkLqbZiZWL7Svq1RrpvTaSR0RLBlJsNErvGkom1Wmtua6CNWAMAAABgvRilMCWKr01rLRZCbXAiVpM2qXEuc9MbY3ZrSdkbSp3z+6eGcI3ZEJssqCnuuHpLBGJtp18zyZE6F+m6RUmZnCj+kMIilKZfck4hcRpLc+1jaYALN95qPKu4MjXTtyFCAQAAgN3BaIRpTkQgJA5KxOtQTk4tsS0RM6V9o13Dp21TKvpikajlcqlutwa1I63u9axZ9xDjfJ3SK2NrTmPE1qtyz7iW16GvbIzWaJ/n6zTOAAAAAPBdRiNMU+S8kEOCJirBiYRS+naiUi8pcdFEg2tQInxLRVso4is5LiQ4al9bvx0uCiWNEMdSTrn2SlLWS/vBj75L7OJonU4eoq97XHpOYxBufaXKAwAAAGB9WBth6pJKN+trPZm0vB/Zq7EuK5bqLCV3Tammbsm+UH+4acDatvtc+5az7k86wZHqR0mKJCdKStJES9NaS8m5rjXGgtvffY6vXLTXeKxicWz2AAAAAKANoxOmsVS4mADVOFWhtOHY2q8SYnZK7M598QnXfqzeEtGduw6ME0qa9mPt1HZoQ0IwZ2KkZI2dJL03NGb8yZGctaSSVNSc8ysVnKG1oaHjpPdFqK7U+AvZqDlf7b1ZQ1z2OdEXwo+Sx8oAAAAAYHcwCmEqdapLBVqOPb4DG3P8WomiPiN/UkFRIihrUbNfNOtZ/WNKJzGkKama1NUce0IRttKIeq20Zkk/1xK3NRgykyOnz1OTGTWpWR8EKgAAALA7GIUwteREB0LrEVPrrSTrsVIpw7UY2rHKab+Fs8q10aKummsec2yQRN5Cx9aiz3TYocd3KWOwX/psLFkLvO708UwCAAAAQDtGIUxLXkoylEBKOYpSEVIioH36iihbJNFjbl+pEI6lmLYaC6Hz0LSZcy05ctaEho6XpLOGUutDdsWuUyzSHoqIalI5/aiva1PNiabciHTt6OxYhVitpRC17hkAAAAAjJ9RCFMi+fo9u90ekypbQsiRTDnK/hq8IRym2i8y6Vvslhzfen2d27ct+jcmuHLXHIaO0QilnOwEjX1+W1JBXNKOpFzNe9g/L64Ppet+pcdwNsSOKZ3gqpXiLmmj5hgBAAAAwLBMhjaghJAwaOGYuHXadsfmAPUlHl2kEbdatqXqSYmvmsTOa4hrMSbGdv7cpFfJ/TvkC4Fq1tfyPJbLZdV7HwAAAAC7m9FETKXEHKnUPi5SkdteH2mzftqj5i2erfGFutS23CiPpHyNtbJDpCBqjnPHQs3IVN9ppTkvMcp9mY+mbIsInPZZUXo9S59NsbX7bv2x4zl7agKxCwAAAOw+Ri9MU05aqzdq5tgSs6NlWluMFv2Ts6ayRjqkn0KbM7nATU5oxam7v0SMadYbczbklsuZHIgJlVB5f32nZuKIq6OE2qJQusQgl9Sa2CGzNTRrlAEAAAAApIxGmIYcGcnaO+vESV7GU0JOxLVG+7kvWnGPLV2bFzu+ZP2ej1QYLJdLVmBp10mmyoXGX4u0Sh/pOfURtc89VpLKGYr8cmu1Y8+DWH9p1qymnkXaiZEQqbWmsTZ80c/ZHhpTfUTXNW24kxalzysIYgAAAGB9GY0wrUlJdE56bF8v3SiNktSyqfbLlEJ15zi0ITEjEalu1NQ/Jic9OdWetBwnymrC9ZNmTNdKb41tl6b7au7Xmv3YIs1fG72X7KuVAt1K9JU+15DWCwAAAOwORiNMWzjfuYwlZW5oajp8tdZxutE1v14ieVRWU96nz3W8WqFujxuadRELmj4bol9rZnrUnqSqWWer+gAAAACwPoxGmFp8p2cdZ8ZDjqA2ylrLASyJnOSm6Zak/vr2xlIec8aEmwbcKvInRZrmqq2zVkpzbN1nrn0lSJ4HsfP3x480TTrWbuw+T62rDdUpySJI3Z/+PZI6F9/Wvq6tvV6aezrn2gMAAABg3IxOmMYIOWKcWEmtN62ZrqY9JiWuchzEkNMZc9A1dkvW8frlXbv6QOPQSs5DK+5qTiT06VyXRq9j+1KpphKh6dblT1ZJ6g49M0LPhlS9JftDDDUBl5sqDPEHAAAAgNqslTAl0gsknzFEXSVRGk1ELybWbR2hdZgppJEnH//lRBpyJg2k51RTMHNrXGswdBQ3VmeLdFDtcbVSU2tHfvt4ttS+p0rqlLanyQoYw/MZAAAAAMMwKmHa2inJSUvViKTUcb4oqpVuGTpW+oIblxJnXSv6clIea6FNZW0dIRoiVVtKLeEgSbGtVV+riL3Efq6/pGuhtWumY5NOqXXYY4p6Ss4DAAAAALubUQlTl9RatpgwlK6hsvttW7nr+UqpESHz7Y+t2dK0l+MgclHEPtNT+4rquY5/zvn1HR3Kmajgjpeuy8yhVbRYGtnm+kViU+49xe3TZElMJpMd5+aLu1SWgXTSITczIGeSSlOWe84h6goAAACsJ6MVprWcJEn6Zx8OjevUh4Sb3V/SRmm6KzcBkLuurlWqawmpyJa2rr7PLzROaolx93xy+kdzX+aKkdj+WoKy9nVNPc9SZWLHDUHJRJN0XbFmbTAAAAAA1p/RClMtWqdOs+7JPy5nDWSNsnZ9nR+pa02NNNPQttp113RaQ5GolA2xMqF0bu1LZrh1yKnx0MKhr5H6LTk2lkGRmhhJtS2xr4TQdSm5fzViNtQPmjRo7RIA7X1RwpgmvgAAAACQz64RpqVookOcKIiVzbFBUqZluqEGzhGNRYX7ptV6Q64Nn76jbq0mK0rS3VsTE36Wocdean8r+3IjyW655XIpOk6bhqyxAQAAAAC7n7UVpjkRFP/4UHnuZSGSl5JInVCpjTllY+32Lcwk7dZICYxFo6Tra6V9FIp4cqSixSG7StKKtYSum9t3kkkYrTAuEUrafSm7UmtvY33E1VELydiVPLs0bYSQtl07Y0GyjbMJghYAAABYP0YlTGPigHMUtU5Yql2OkOOXElu2rMShyyHlgI0pupV7naTnUDuSU0PISyLI2uiSb5d/XkNEBXPEQw0kwjYkrP2U+JL2Uym6UqEuHQulfas9XtMmNxZr2Sud7LD2Ir0XAAAAWD9GJUyltBZdQzk1OVGkMQlQItk5hKJNNc9D25c1xbLkfErOtc/r3botTf25WQY54yt3zEhT/KU2xNLh3Ykv7Rrlvhji+TS2ZyIAAAAAZIxKmNYShNIISkldtRxPS8560ZQDFqtzyKiC5kUppaJVE+2JRcEk9XIiwi3nR+y09nG0Sl3MHVehstz4k5bNtTOFvT45kT7tOklNenPOpJSbfq3tP8naZWkKunQySro/5xkFUQoAAACsJ6MSpiXUSpfTlIsdH3MSa6U/TiYTIsp/MyeXYtuXECw9RkLqXHxnOLa+MFfE9yX+NZFcIp0wzI1U1qZ0bEkmQNz/c9rTHpcqP5lMVBMmOe1IJrlCx0nLaNa6uraExmyo3tDyCQAAAACMn10jTPsmJ+0WHCLXER6KFmKr9lq/ln0pFap9R+DdyZ9aEc6+xmQo0lgyKRAitCa5VRs16rH0MTkAAAAAgHEwGdqAFLEojvvTsu2ccn3O3GtS/9z+4vowRzDlEEtNdW1p2Y+p1MFU+qxPys6QKGg5hjXkRsx8+/1rpslU0PS59vpIj29BDeGcuhck+3PaDR0rIVU/Z7OkLe6egRgFAAAA1pvRREy5We4hnfVUlEGaIriO5Kzx89NixxBRbrmONjcqI7Epp/9r9XeNNHb375x1hRq73FRXovikwdBj0rUhFnXuc71wCWPIJAAAAADA7mE0wrTmy0a0+M4gt97MZSzOk/aFKtzfLiXrKWtdn9piUhpVk0RtSiZOJBHE2NrWnGistIy/pi92nqF+Cd1DMbs4QRm7D2NrJFPbQvd0qJz2Xihdnxnri1j/l66FDd1vuRkU2gm71DMpdZzfJgAAAADWl9EIU45chyv32JgNsXpTaybHtuZJui6vhFRKYSqS5pPqQ81117Zt7ZVeR42oCTnyqfWAGqGqEQj+8ZygK8kgSInN0kmJoe4zzXXRTApJU8v9/i/pB2nmgybyn+qfmhNbAAAAAFhPRi1MU7SaNeecxxoRq1rkCp+a0ciSvs+xQRp58/+vPblRe+LDZcisASklkdlWSCctfEJR7FS6bcl9lFoi4NuTmvSKHaspH4vWAwAAAAD0wdoI05opjZJjajnXLdKCUymQMSRRDOk6SGlkTCqOpVGVmusgY7iCIDRZIYmk92GrT26aMXd8jehbrB9D27ltnF2p68AhEYWxbbH7SCLyctOSQ21JxKs/nv02Sq95znXIBZFRAAAAYPcxSmFamhbnl/HrdbfniqShyRU83Hnnpv6VimrJ9py6xpTOGRMrWnL7O5aCqUktrZ0eL90eokWKfOp8uTZzorUpG/z+Lz1PaXYFJ3RLJ1dqPGsAAAAAsPsZ3dfFxMTGZMKba9f/tbZhTPUaY3b8lJJad8mJm5r9rl0TWdKOpr9i51lLZNcev7l2pI7NueatRUjsGrR6Lri/UxkRqbpibbTo5z7Sc3MnUJA6DAAAAOxtRhkxJZK/6COFG3HIWXtVaoMmOrTu0YRWa35TdWoiO5I+jkXipWnffjs11/fWxNpZI8U8hPY+itmiTY0twX121B7bsSh2ST1uXSXjTxIFzomqa9KNAQAAALC3GJ0wja1FWy6XRHTkWqnajkwq9bF2hDK07qs2UmFnz9GPEMXqqpnuJ12rpkmpDLUVq1srfqRrDDnRKkWT2umP1VRUnLMtVrYGuamqLVN4pftSIlly3/jlave95rqG6pdO/ISupXbJhfQYafsAAAAAWA9GJ0wtY4kucal6NdYItjy/0uhOzjm2mhzQOJuSCNxYUh61TnQf9wO3vjBUThNR01JrbePQ9HW/x+hD3LXIBlj3aw8AAAAAPaMVpj6Sl5JI97toneChZ+NLBE0spdIlFMENRTW5Y6VptfaYlHObK3ZyHFypkLU2x8oPndLLiUit6LD11CbVF6nxmnMv5kQkc9eRStttlYHB7ZdMKKTqk6TjxvaVnm9OBBYAAAAA42cthOlYZs/X3dmRprDG9nF11Eih0wiglCiW1N9CKISEPCf8tWNamt5cQq5dRGEhk7quoaiidBKlBlKRwwk36STYuj871oG+J30AAAAAUJfRClNp1CrXIZaijUym1ia2EnZce62iXNw2V4RJnHY3SpqKzmjTed1jpdGdkHBNjUPJmrzJZJI8zxTSaJbdJr32/vn61yQUPXePLx23peO/NHXdvV5SW2o8a7i2cs/FP4ecKHksQ0Jrj6T+XFtC18g9bwhUAAAAYP0YpTCtkSqX65hInfoaDrkUt60S507aVk49uQ5hSAjF2k+lf8bWSkoFVi3HlhN8rcdNbPIjdkxuxCl0DJcCm3ufasr5ExI1r2VJimuuPZo2Y2Nfi/ZZk5OWXat+AAAAAKw/oxSmGqdSGtkKERIvkvWOnB0hm0pYhzRAqePYx7mUpKTWFjQ1nWk/2iyhdrmYTaH9LURFqL11uFc0lKR8l7bb1wRKq7EHAAAAgPViNMI0ldYmPaakbZcaAiV3HaNGZIdSV4eKLpSkUhLprmlpCid33JgjM7Vsk6RH56Y2h+oJlddet9zxxa33rZHuGiNnPTMX8c9dz9q3cJOm3dtysfGsGedjvV8BAAAAoGM0wtSSM1Nfc3Y/lf4paStWRpK66rerWTslWYslRbPOzv4vjZpKU0ulSNdESuvx6+DScGNjJXedX8oebeqzNq03FvnktqXGr5/KrCEWIZaKILe8W2esLS3asdqHGHfJeT7GUq5D40s6weQfg8gnAAAAAIhGKEyljH2WPOQMSu1ORZrs9pAQHXP/jNk2F4moa7U2NUZOqnlrQsKvVSpvK3InRGrWGaq/tnAbOrvCtwMAAAAAe5tRC9PaqXVSaqYIl6a2cna5ZThRVHtdY0nENXetp6bs0I61tI9SKeOadnLSNXP6y027zEXbnn8M137pNa8dQW2xJtO3sXVktkZdQ09C9LE2FgAAAABtGLUwHZrawnLdyHGIpQJpaDFZgyGucyoS76a99rVGW9IWx9DjoNYaZU2qfV9IMjZCkxwaNOtnc0CaLwAAALB3WFthKl0DxeE7YLHyvoPHvZykDwc7lUJqbePKtrKlJHqjSX/VtOeXLY349okkIi7tA+n6Vu29UotQxLe0vdhzQHPfawg9H2KZD63HVqp+6TNL+lxt8QyEKAUAAAD2FqMRpjWdj1DKZK4Ayn1pC2eDJjWQs0VC6FylTmaL1MlQOzWQpjPHBIEkzbamsKmRJh6rU9K3GlE6dIqkOwlk/9cer6HmtdXey6FzzFn7Kp2giNlSU8C2ZCzRagAAAADkMRphWsoQqXR9tNm3s5W7nq0lJZFZLtLslx3Coc19yU5s0kNyvLa9UlKCpY8xNhbB0pcdtdsZ6jngZg2M5RoCAAAAoB2ToQ2ojTQilnKSU9FNTfRTenzXyb5GJrbfrUO7rQbceUnXnbZwgGu9LCYVgda2Gxp/2n5wy+cc72LHRM1xwaUku23FbHHrcCcRcu0LRVxrpA/nvOAptz7/Ovvl+xSS3JjRts+tj+b2h+DG2Fgm1QAAAAAgZ20iphrHJyVOJc67Ju03J+WuJNUyFgXMxZ5HiajJ7QtN/aF9kvZCkZcSh1aTHh3brl1zyZUP9b10LHPH5uK2nRIbmnuxRPSkbC0ldK45kfFYHZL7dK8Js9LnFwAAAACGZ9dFTGPUiLpI2yhBs6ar1stiSuqR1FHSL5KIiTRSWHp9JpMJTSbp20bSF6XrQMc8hsdM7eh8aaQ6VBcXCeSeXUNer1BEfAhqXgcAAAAA9M9oIqap2W5ttCw3yhKKXHFtptY+5TqQ0nJSYZI6h1pIozglbcf6vNVaNM5eibiURiK1/ZZqV3K8pn3/XpJcv9Lr0OpaahgqAqeZuPCP0bZTK9vCJfdFU6nJnFTWgbQuAAAAAIyTZOjHGPOXxpirjTGXOdtebIz5d2PMpw7//Liz77eNMVcYY75gjHlsK8M1+Cm8IaEWWouZ05ZfrwRtirFfViN6/LZKog3a47QTELUiIRoHWhOBLbHNjzjFrikXTeubWmszJechGd+pY3yk62hrZSS0YsiJJX/bmKKULbNhxsZu+GwGAAAAXCQR09cQ0f8motd52/+/rute7m4wxtyXiM4holOJ6C5E9H5jzL26rlvkGlgzbU3qsNSK9rR22GIiWiNwW9gicXKl6ycl9UmQOvMxga+NYknTm2NrMWNrF/1zWi6Xosg0d+zQDn3p9eaOD2VRuP/HytSwK9VmaXsp+yXtuHVJI5e5k1E5Ec6hx+ZIeQ0N+NkMAAAA1CYZMe267nwiuk5Y3xOI6I1d1x3suu7fiOgKIvqhAvvEpGbzQzPpoe2uqMyJpmqcNmkUx7Urp/5UGa0tvl1cfSFbJMJdeq61JwD885fWHVr/FxKcoW0aoSGNspeIq7FEw3yGFiua+6RWJC/0XMqp3z8uVgcXua9JbjbA2CK2fbIun80AAACAlJKXH/2aMebTh9OJjju87SQi+ppT5srD26ohjcyVOCqpOsfiDEmiLpo04lptp6gpKKR2lFyvmMMuFQVc+5KJktTkiH/c0GOyhNq2+31We/JirxMak62ejWN57q4Bg3w2AwAAAKXkCtM/J6LvI6LTiegbRPQnh7dzHgPrwRljnm6MudgYc/Hh/9mGpBEzbdRA6lC1ilD6baTqikUyYvZJ7PejISmbcuDOozQqm4qSlyKJMtZK7cxp25bLjcbl9FPriQD/uFh6c+jYULua+11iV6otSfSxlBKBXPtej/VRLOukdOzWikbvEqp/NgMAAAB9kfVW3q7rrrJ/G2NeRUTnHf73SiK6q1P0ZCL6eqCOc4no3MN1qLyKVGQotj+0LyY8OIe2tiMkiaZp66hlC4fEPoljXisd2j0mFiFLpdWGrnctXNtSolQiWkN1u057ia254kWaOt4q+lV6TVPi1u/f3PpKqJUaXHKsP1ZrTwjl2rVXGfqzGQAAACghK2JqjDnR+fenici+FfDviegcY8w+Y8wpRHRPIvp4mYlimwY5Npcas/wldWgiiyVRuVx2k3OpjZy1Pnc/ap1KEU5REqWWClipLaFy2owHSZnUpErr6zh0WmuNZ480IyaV8bGbnhcljPGzGQAAAJCSjJgaY95ARI8kojsYY64kot8jokcaY06nQ6lAXyaiZxARdV13uTHmTUT0WSKaE9Gzuh7f+mdn8HOij6HUydA6wBKkzn7rqJKUnAixNqLkHxdrOyXoYtc/FknM7eeSaJmknzT9XyNSKqWWEHXvWY1QlWQ5hNKCY/WkoupDkbOGWHPv+OtxU/2VMy5bMqZnZh+s02czAAAAIMGMweEyxnTT6bRJ3SEBUjuF1LYVSx/lUjRL2iqtoyUSMaapJzVOuXKxY0uiby3QrCn1yRX9XLtchFIrrGN9Fose56zJDAmvlO2a1F7pRFIN/OtRmi6bGlehZ5NEmLbEf5bmnPt8Pr+k67ozqhu3h0AqLwAAgMpEP5uz1pj2TU6kIERpREpTt1RM5bY1hkmFEH1GLtwITizC6kfmuOslFVit0PZXqUgJZRlI6/b7KGcCIVYuhVQIl95rbl2hdqRt5IpiVyy2GpuSKHTItj6p+ZkAAAAAgHGwFsJUE7GR7o+ljMbqSjlofl3u/hwREUoz7NMx09ovtU3i2Nq6YtfR/fHLhCKMKftyIqp+hCcnMuzXmxt51qSjavrCFbSxOrX1laCdbGoh6rTXunSJQMnESSgSGiojoeXzSFp3a9EOAAAAgLashTDNwXfsaztNpY6YJjKxbpT2uWT9nytGJ5MJTSaTIxzurutouVzu+N/WPZlMdvzfos9zx4hEtAwVLcpd51hTNOyGaFlf93lpPw31LErZve7XHwAAAABHsvbCtGRdWixqqj021L52TaBbvxVVbrplbiSWW7PFRelqOnyczaVt+2J0Op2uttm/iYiWy+WOn67raLH47rs+/JTdWEqrW56zxxW3JUJUk77q2xSLuGpErbS8JuU5Nd79tGK3fu54t5w0auzXl3OfS8W1NsKX2l47vVwbmc3ZpyGWYi+5t9z7t88lBACANCeccAK96EUvoo2NjdW2iy66iF796lcPaBUAYKyshTBt5Wxwzo7v/MWc29Axfn017PTt1TiX0nWAUkc51IYmfTTlvMdssYJ0MpnQbDZbCVP7N9F3helisaDFYrH633VgOaEeEgGx9EdOnEr7THrufQmEHHLShrXjt6XQ0NYdO4c+Ioyh52GtfmrR16n0ZX/CLTSmQpMS655lAsBuYnNzk4477jgiIjrllFPol3/5l2n//v2r/SeccAKdd96hr9jd3t6m6667bhA7AQDjYy2EaStyHFJJ5KwWGodfSquU1dS+EqFmsYJ0Op3SxsbGSpjOZrMd6bzGGFosFqtU3u3tbVoulzSfz1cCdT6fr/aHojXrgFawcs68RoRrkVz/UGRdU3+qDS25dZXaELpmLVPOufZzJgNrXwtpVBsAMC4e9rCH0Zvf/GYiIppOpztEKRHR4x73OLr88suJiOjTn/40nXXWWTsymgAAe5fRCNNWDiaH1tni0vlK65UQSunTtiWN7rpla0TPYinTuXW74nQ6ndJsNluJVDfNdzqd7oiSLhYLmkwmNJ/Pd0RQJ5PJjpRp325pP3DioQ+RG4r6S46r3b573n7fhe6jkOCSjFPpOUgzBkLH5kwQxaJ6OZkJmmtceg9L2giVj2VIaNqA6ARg/ZhMJvRzP/dz9CM/8iN0/PHHB8ttbm6u9t/znvekX/u1X6Plckm33nor/c3f/A0dOHCgL5MBACNjNN9jOplM3P97bT+05lFqT6psjlDhUtbcNVRce2OK+GmiyylH3f62ItT+zGYz2tzcpNlsRvZ7cK0wtdFQN1K6WCxoa2uL5vM5HTx4cFXGRleJjuxjTbpm7NqEiI2N1PWMCcEQXN9L7Zam58bGa+gYSfspckVkqF1NFDl0LHeeQ0ToY/ebb6vUJr9ObizlTtLE+k/KYrHA95gWYvA9pkDIZDKh/fv304UXXkinnXZaVh3XXnst3e9+96Orr756NWEMANh1RD+bJ6EdfRNyiloL51jEhrNHWl8JOelzY5hgkJJjqzFmRxqvTeG1otRP6+WiqrPZjPbt27f6cdenhqLiOVEjvz73vEOi1+7TRsXHMhHhEhOkfbTd8thcIZ0aZ63JidJqkaT0AwB2Jz//8z9PH/3oR+ke97hHdh3HHXcc/eM//iO94AUvqGgZAGCdGI0w1aZ6heqo6RTXXCdVEslxz6mFM1u732ydIYGmqcPFde7tmlI/hdd3/N2ynFC1otafiHBtl55DrWvjXg/uh2svlfYauxaxCCkXFZNGgv2Irub4EnLHM5cuGxKTkj5tdZ65daeOa31tJGPalvOPAQCMmzve8Y50//vf/4j1pBqm0ymddtpp9JCHPIR+7Md+jL7ne76nooUAgHVgNMLUsm5OSCytszSNza3Hd/ItJWmP6+D0hcSNK0p9QUpEq6+IcSOpVpC6UdPNzc0dIrWlY96HKMttpy/ROAS1I8+lfTSmPs59Ru3WsQIAGJ6f+ImfoPe85z10z3vec2hTAAA9M5qXH8Womd7oOmLaejWU1pcSjNKoVZ8Ot9tuLVwHOJRGaV9wlFrbaIXncrmk2Wy2Q5y79dg1qqF1bu7YCbVZqy9bC2UJMfHiT5JoJzukUV9/f8oWrrwkKyM21jS2SI/NoeR47vwk2RyhvpU8azVwx7jPsT7X5QIAAACgX0YVMZXMwqdeqMI5UCFnR4qkTfeHS02Trk2TOoTS86otlvqMsuamcbt9ZCOntj4utddN5+XSOd1juVRfzl5JH3FpxyUpr6FoeiglOoZ2vaBmjPdF7FqGyB3fY8xASKXt+oTOIVRPLBU3d3KCa8Ovc0x9DABogzGGTjrpJDrxxBOHNgUA0COjEqYhctPGhnRgSpyoWHpwyfE1qRHR1bblRzi59ux++0Ze/81+Vpi6L07a3Nykzc3NIwSqVmja+munOQ45GZBzPq2yBSS2pAQiN7EwRqETOs/S8aU9176iwbGJDW5SSHo8AGA9mUwm9KY3vYle/epXD20KAKBH1kKYcoScs5SDkop0cfWVIInShI6Rbo/VkyOuJHVqozGhOiTn5AoITnD6+92vfwlhI6auQLVv9HW/usjWG0MzYeALpxYClhNnfTvt0vtzjJFGovgblIl0wrbm+dXMgJAcz10rSVkJOdfef5752RAAgN3D/v376T73uQ+9+MUvzv4KGgDAejEaYaoRKBZJ1C438lDiTIZSKv36/bZC66dCYjrVhsTGUD+0FgzSyBZ3TCga6u5LCT83cuoKVD+ltw/BJBXyuXXnnEuszZA40FC7X307pPe1pm/7jlrHMida3Ju5k305lNY3tokMAPY68/mcbrnllur35t3vfnf6vd/7Pbrf/e5XtV4AwDgZjTCVYp2n1oKpRUqm20aq/TFGkWqQm5JtfxaLBc3n8x0/Voi6182m5brH2/bt+PG3uV9BU5uhr2WfqbgcsRTs0kmWvvDTxcdMSR/22f9jvdYAAB2ve93r6IEPfCB98YtfHNoUAMAas3bCVJKqa8tJjymxIyd9LUYNh3Idnb1Uf7r7bVR0sVisfvzU3tA6US6VNrZ+zRcj/qRFTl/74pg771harqad2P+59cQYamIlJy01VZ9ELEszPXL6MBff7lj0mDumpF1Nen7ps67PrAYAQJwbbriBrrjiCjrvvPPon//5n4c2BwCwpqzF18W0gnPMtOnCfrkazn+qjlhbJc5eHw6eK+wk5dy/XfG5vb2947db3n7dC1en+5sovuZYGpn3v16Go4bjrxESue355xDqixJRoLn2teqNjYdQ+qpUjNbsmxChtZSx8+JsDR3nn69k7PuTNprj/f2alH6O3DEDAKjHYrGg5z//+fTYxz6W3vOe9wxtDgBgDVk7YVrL+Ug5Zm57KafHd7C0NmqjKXsZm867vb296gv7vaRuxMZP4/VTwG2fx16WlLNmsQ+k0cHaYjj3+JDws4xNUORmQdR8NsXEr/baDtHXqWeif9+kxHYIf0Jxrz8fAQAAgHVmrYRpaI1XKmXRj7zlOi9+PfbvFDHnXBoddW1o7XzViLZpo1ep4/xjrKCcz+erY+y6UjdiykVJ3XHgpgdzKaixSFjptQmVL40e+fWURB+1Yy10XF/CgTvn1pFsv75W55i6N1ITACmk4yVUTjOWW1F7kgAAoOfGG2+kT3/600REtG/fPrrXve6VfU/edNNN9K//+q/07W9/u6KFAICxslbCNAdX/JWuaSrZn0so3biFw6cRyS3FjsQON613uVzSfD4nIlq9ZddGTf0XGdnjFovFjmO5Fylpz8v+PcS1ATspiSoOTWxizZIbEU9FsMfQZzn30BCZCwAAno9+9KP0oAc9iIiI7nGPe9AnP/lJ2r9/f1Zdl1xyCZ111lmrz3gAwO5m7V5+pEXqaPkRtFAdXDQt5OiVrjt0U1DdtWW1HDDJWs9Qecn5+UjL+3X7kU0rHv0XIB08eHD1s729fcSPFZ72OH+b++Ov6XPHh9sfrdFeI3tMaZsSuOvj1sHZHqu7Zrp0KC0/1J8SMSihhTgKnX9uW9xx3L1dg9j4TV2Pvsc9AKAOXdetJnu/+c1v0m/8xm/Q+973vuy63KU7AIDdzVpFTGuJAm5GPvXQkwhMTR0xZ62WAJJGHjjhHXJeNfVq2nVxRWEoSmS3L5fLHX22XC5pOp3SxsbGERFT9ztK7bpSK1I5URpK6eXOwT8m1UexSY3S/k2NnVD9ktTMHFtyxGlIiOVkLmi25bY7FDWiqDVxJ9Ps/33aNfT5AwB28u1vf5v+/M//nG53u9utoqj79u2jY489NnnsDTfcQDfccENrEwEAI8KMYRbKGNNNp9Ne2yxJJ/WPdV+0EyrLOdwx5zhWTurolax5lKxz9O3QiumUMOXKuOLYj7i4a0zt3/Z3KNrrft3MfD5f/e1fA+mkQw1h6tpIREXfqyoVYDmiNKeMNhrrExt/pXDjTtJGThpsLXL7tzVc9LVv2xaLxSVd153Ra6O7DGPM8A4C2BUcc8wxKzH60z/90/Tnf/7n0fKLxYL+43/8j3TxxRfT9ddf34eJAIB+iH42r1XEtAack1QiznPSzVwR4/7v1pWT8sihdQqtPf5viR0a0eHXGxNoEgFL9N31o9YZti9BsqLUFXh+OnAsWho7Dx9JNDJUt3uu3DjRkiP8Y/ZJ9/s2SMagdIzFMh1aCB/tBEuqPzWTRZJ+G4sQ9ZFO/I1hYhQA0J6bb76Zbr75ZiIiuvjii+lVr3pVtPxyuaQvfOELEKUA7DHWPmKqFV4aJ7nE6dM4zDllcyJPmjTIkACQ1pGKFsZELRcFCrXrik0/imp/7MuQ3PJu6q9N67UvRJJGS3PvHUlk3S8XEjyxvmlF7WeGVJSm2tbcZ5rjNEjq0gpTab3S+lqNl9x73x6rGVeSvkHEtBxETAEAAFRm90ZMcxzklCCt5bSNNZIhQRMtHMN5+umzfuTRrkO1/9tj7HF+pHUI21PbJMeP4VqUEBM2rgjX9o/2mLGwrnanqJ2CDQAAAIDdwdoK01YOW1+OYGg9W0zwSQWjNoUzJAh8gRezQeNsaiK3qfp9IRo6h1h/hn63Wr+oKSeNwGls5aKyfv+lItgxm1O2+vXkpMO3KNsXXN9y43TdBFzJs3M3CnAAAAAA6FhbYbrO0YSWdvedlthnO5yj7jr2i8Uie40ft7bUj6D2NeZy1gO3bmtoSu0c8/NirHa1YF3GGwAAAAD6Zy2EaWxdkvR47jhfdEhf1CJpR/rCHt8uTWRN+2KWnLWS0peU+FHf0v5z6/TLhK6fu5+zt2Qdm/2/djRVcn1idmnWpIbaia33tf/XWE+bekmQZF8Job6SjldtNDs0Pt3/czMjcvBT3Vul44fqrdkeBC4AAACw+1gLYUp0pPMYSjlMOVwpoeU6b1z9fj3ac0gdn3LYS5xWrXjMSSP1UxMlpASzRHSm9nPb/bGQs3ZRWlbCUM52jfRsKTUmLHLriSGdgKmFnyYfGoOpSZiS9v12tPWlhKY/fnxhDAAAAADgshbCNHftIucYldQ/JvwIr/bYmg54H858TPBq1uXF0nh9OMEQ+85aLZoIUp8pxFw0keuLVFp0aoyG1re620IMJW5qrzseInLcuv6Wk2sAAAAA2L2shTAtQeL813ByJe1oI2wtHdNcMSSJOPdBShyFynPbNWm/uVGlmpRGujUprdrrWSO6WTOV2LcrlEWRutZWZGvIydjg4FLKbV25/RJLJdbWUeO40mwUAAAAAKw/oxGmkkhXKvqpWaPHpaDmOkStIgAxmyT2thK42gh2adpgKF2Y2+fuT22P2ZBKqQz9H6vDR5MqXVME+PslkwzSsVQy+ZKyJSVeUte9xN7Ysf54lNQdmgAIiVD//5aRR4hEAAAAAAzBZGgDJNRw8LljShz+lkhskorS0P+llPRbji12MiE30lQj4qYRsrUojWDmtCVJhdZei1h93FjlfnKJRS5jzwDJPVYyliW0vv6hta010dg8xucxAAAAAPphNBHTVsSc0liZ2PZUWzUilRKbYtEU6XGlNkrE2pDryqTRVcnx/vYaUcya/RKKIqbSV3Oi8qlrGotKl6af5uyXPAe0+0vQ3t9uf9Z+roxhzScEKQAAAADWImKqiVwM5eCEHL6hnL4aa8js8TExl7MGMadfQmncOedXIwqnbb/W9ejD5txoXi7+9eSyGWre1774k66LdW3i7ouQ7ZK6c5BmVuROsOVmovjUWHcMAAAAgN3PaCKmmuhFaH2a+3fNl9SUpBIP7YBJRKQkClvLhpI63GhRrlgujThxbUrXirq/c9uStpdTVmKb9N4KiZFQBLVW1oIEqf2xMeau/XWvbSsBHbIxdawkIyAnmpxjU6hc7X4bQwQYAAAAAHpGI0xL4BybFmm0oTZ90TCmqC23T5rO2uIlKKUOb8imVunC2tTfGDUc8FoCTiMgao1pTshrRG5qcqo2uSJakj4t2V4T7lmVk7VQ205tKv3QE30AAAAAaMdaCtNaDpLr3OamhK6Do5SKIKbKrAu1z4ETpb44krZZGlXr4/po7qtaAqVmanPrPoq1Jc346Os+G8OzqcWzRXJeQ583AAAAAPIYtTDtK4qQ0+7YnZ/SdYIph1+zvwY1IuKhCHeODbGIeepYH9+B5yZMSlKAa6cuS1941ZLa0bsSwRMam9pJC/f40IuPUraFIqI11nmm7MyhZJyMQXwDAAAAoB6jEaY5TkbNNEMJIQHWcn3UOjhe2j5oFUlxyXW6YxFRiSNec21zTn2lbbbIRihFI/ZL7scccZpa776bKVl7LyWV9s1lMdRqGwAAAAD9MhphytHH2qtYu6k1Yzlpj32K6JSjve4Rh1TkLrYG2N22XC5X+0KkHGTtukn3uJCoHquTzZ1ry3XKmnGqjVJKBOXQ10EyPi1DPTP7IBRJBgAAAMDuYNTC1HdCajlc2tTLPlJVUzakCEUOarcdctJjznvIrhKHX/rSnFTdOf1Uy0GWTB5I64lR0s/aY0pTj2vYUIOccZ5L6J7puiO/ykYqTon6fTtt6PkcmgDYreIZAAAAAPmMRpi2SuvUCJM+HPdUmzX6Qeo8SwW3JmWydkQjtP4yVH/K6fWdfT8VXBMdL50MyEmF9PujhWiTTNa4dnB9NqZoVmm6bR/jXNM2B2ePRADWErGSlPQabaXuiTGNOwAAAADoGI0wlbAbZtpDwq9GhHNd+kYr5mo7mznrYUPbW6VDS69n3wLJt2nMY84Vzdq+1CAdA9poqxVaNpW3NS3Xt7cam6k0eAAAAACsD6MWprVTPFu8VbLkhSncvlxS62F9cm3IEXXatZuSyFYs1TgkfEucVs24SpXTCJNSW3NScf1oaOka6xgxW2sIJWm6tCQ9WzJ+UinwGmo8G1J92mq5RIiWEzmx/wEAAAAwfkYtTH3cNMzStK2WqZAaaqyVzE1R5GyouU41p80UsbKtnN7aSK8ntx7X3e//3ZLdGoHKeZ6UCLhUO6Fr3hetxKl/Xv4ESC7rcL8DAAAAQMZohKnUISp1YtZFvFjclFGXnHWRsSgQR61+cu3LvQaxVNJQVCg3wsbVlbJDWnetlzZpr1vOWsVUGrNbb4lQa3VPSqOBrliMlQnVK0E6EcbZOZlM2Lbd/1tHanOvcyojwm6vGR3erZMoAAAAwG5nNMKUKO1Y+E5OzktXShygvtbzSSh98c6QhER0TDykUmmtuPDTULlyMWq9pCVE7rhplW7tEhIOkvpKo4g5x9S4PtprrY1cc5HB1CSSZGLBrzP2zCwRkzUpTbetEWEFAAAAwHgZlTDliDkj6+qgaJzF0khNDRs4WjiJQ63D05xLykZJ9HqM47b1i3+GpsZacqK8CYIakXsuQ6LWGt9W1w9CEgAAAAAaRilMU5Evu90iSVn1hUEs0iCJRsScrpQIqeGwcZE9STTQLVcjLdqv290fs6G0/Vz8fuP6jlsPx9VjabHmMzXma1Miprn+0kTzpeLIL6eJdmqFnMR+6X0nSY3l7JPcp7FzSqUvS88rRwDXzDaI9U3f9wkAAAAA2jFKYUq00/FIOc2hfVqHLrR+i7NJg6b8OkUZYumLPqXrJjlyndIcwSXdrumTVLuh9E13n3a8SAWadH1prUgkB3e/lUQLNcdJJ1q4Mqk2fHEdmzCy60vttuVyuaOd5XKZLZylE3Q51Hp+hSZ9UhNKAAAAAFg/JukiuwONY9kHpdHKFlG6GtQWn61wo6W16nN/t2hD0r6ElBi34m8ymSQdf+n1rNkXY1ozaYWjRsjavuD6xBWnIaHqvgzJL5uLrcNvd+j7FWITAAAA2DuMNmKaosa6rViZ1tGC2mu7tBE5P1pSao9WoNhIke985/b7WCYVNPtCqdCl56KNonLXnrs2LlxGQ8kYSkWbc8SoO1lQq09t3am2/XKxa88dJ0njtfv9dGD/fKXnz0Vvx4AkOwYAAAAA689oIqauQzUmp8hSI8KZqkOTAljabu3UPQluhIiLMObSIm1QW7cfcZJe85ZorjEnSJbL5Y4yUrHEUXPiIaf9VMRWU78/jlPXmdvPRSftbxuptr+1k06a7bn1AQAAAADUZpQR01R0ooazFGujpTOmiWJxx6X6QyOkSnHFTI1Is60rtpayFpJxlSuA7O9UhNQXQ32tRdamnbplYqm9re5VjlR/hfZx40kbGY7VK7HFt8H+76bockKWq4erY7eLyVBf18w6AAAAAED/jEaYthIgsfakqX6ck1gLTty522vVb9sI7cutV3vdJH0pFWljcD77FgGatMzWdmi2+2Vyoq/a+yM23v1U8tSxKXLOKXUvpCYB/BReaTshpGuI+xzz3POl9jIIAAAAAIyD0aTyDkFJamJfDJ0OGqPULm3647rRIn0yJORrRcB3a7StRgp5qH80kzK518lN7bX/g+8SmuADAAAAwPowmojpUKQifiWOZKjesTr/udGrXHJeKJPqu5bpfNI1wNpoXuhlVFw57vjUvhJbJREzzTWR2scdW/N6auuKRSVT61NT6cCa9ar+Mdy2VGQ5de1TaeJcCnGrZ5o0Au//DXEKAAAArB+jFKZ9OBexNmqLrtD2PpwnTcpyTVq11SLduQYpcRIiJBxy1puWUnq9JGM7lK6aWlecu5ZWIq5ix7ttS9L9U+M+tj93rbgkwp4bIR6rwEt9Rozp2QAAAAAAGaMUpq2RrqVqSZ/tadaY+U54icAes2NbglQc971uesj2uSiqRNClMgpqiOXS9NdW41jy8iYuOhk7NidqH1u/CgAAAADQF7tCmHKOlCRaUtPZlEZ5a0VCuDpDKaCtSUWBJOmosYhZLG3Vp+V5t4iuSyOLPrZfS663NJWTixyu03pUSTp9KjW1JB1ZYo+/37dDsjZWEtFNtScpL9mfS8541jwfAAAAADBeRilMc5wibYpnyJlJpYZJ1tzVRJIamDreonFcQ868L06k9Wnx1421Wi+qiSZLy7daB8uJFcnY8MvVvDa2vtz0Y81aWW0bIXHn113j/g2dD3d+kmeM/7c/ERCaHNCeS600f+7aSK+XP8mSaqdGGQAAAACMj9EJ01rph1rnROtE2b+5/dL2Jc4gt3bNF222XB8OWWlqZK6w0zivLekjPblW9F2Shi1Bs140Rxjl9metSFmJqLLtxp4Jdt9yuRRfM054hv52y+dcg9hEn6YPQnXHsia4sgAAAADYm4xOmNZA4uBwzn+pgywVqhLBwAnNVHqyZnsrJKIqd/JB4tDWTmXOGUc5beSmLrZIR+fqrSUmUmX9a5m6b2JpqHafZLyFxFmtFN5U1JYrG9vO9ZEvAltF7rVootOp6xAaE4iSAgAAAOvPaISpxnGr1ZaGmk5qCVz/lEYua0W5cqMdGufSt7tWtC3nuJpR/VaR2Nppu9qy0hRXf58kxTQkziT19oHmnEPE+rRWGq6kzRTaiTcAAAAAAJ/RCFOOkuhbaXperK1Yu7FjYtti2+0+iSiVCvuY3Skxwa11C+1PtV3jerR0eLnz49DYIEnRtWmcoetby5ZQ+Zxx3QJpO1Jx1vdEBhGf6iud4JCKvFB6f6r+XLTR5xgl1w2RUgAAAGD3MEphqnGoUg5SrZTdPpw9rn5NBDnlxNZy4lJrCyV2xurwUzFTx8ZsC7UfK+/bwa33q0lL5zp07UvPhTteklWwLkIiN3MjFt0NpefH2tZOrtW410OiOScyWzOrAAAAAAC7m0mqgDHmrsaYDxpjPmeMudwY85zD229vjPlHY8wXD/8+zjnmt40xVxhjvmCMeWyucTVEoHSN2V6gZlTPrTOnXyWO/9BO6ZDjxY5bSfS5RoRUYgsnrFrRZ1ul5KbUr/NEx5BIxvy6jJ0ShvxsBgAAAFqQFKZENCei53dddx8iejARPcsYc18ieiERfaDrunsS0QcO/0+H951DRKcS0dlE9ApjzFRjVE5q4W6hROiFBETN1DprX43rkbtW1bWh1dpMn5h4Dv20bFdyXA3BL4nwac7Xv3ZSGyTpz2MjdI7Sc+f6KhYB57IsbNlUH2quhV8nN+5j58jZoRlDvg17mN4/mwEAAICWJIVp13Xf6LruE4f/vpGIPkdEJxHRE4jotYeLvZaIfurw308gojd2XXew67p/I6IriOiHUu1IU9xKRFGJQyR1jlPlShwp//xz6pL2XU0BWhvfrr5slIrPGn1XEgX1JyVi4z41hkLiiPufqz+GVszWnGCRHCt9Nlj7lssl2yehfnP3+W1L7vFYJkiLe3cymahT5XP2h8q612MymezYvhfp67MZAAAA6AtJxHSFMebuRPQDRHQhEd2p67pvEB36gCSiEw4XO4mIvuYcduXhbVnEZuVbzZiPVZC5rIONIdzrqBXafQpSzdiqLeTdvgk5533ZIqVFqngthm7P75tYhJOrKxYhTZUtoSQDoJYtezmDRsoQn80AAABAbcQvPzLGHEtEbyWi53Zd952Iw8HtOMKLMMY8nYievioQcD4k6YhuOWlkJRZt0BKry7czlZInaSvVjvS4nD7QirVQ+zXSTEPHlV7TWCQ0VSYVxeLK1IwscnbUSOHUoD2f3GtX696pRey8iMJv0uXujdD9qu2f2DGpcSHJYgnV26KfY3XWfJ6vG60/mwEAAIC+EEVMjTEbdOiD7/Vd173t8OarjDEnHt5/IhFdfXj7lUR0V+fwk4no636dXded23XdGV3XnZFr/OF6RNssJbP4tZye0lS3PqI/rduQiLx1w0+hlTJ2Z5pL5+Womb4L5OQKSA3aOiXp5H79sTakUeVWWTRjZcyfzQAAAIAWyVt5DRG9mog+13Xdnzq7/p6Ifunw379ERO90tp9jjNlnjDmFiO5JRB+vYazvIIciTqWOSWxdXsyulM1+/amIhR+10AifmJiQinnfxhbpoTlRLzeV27JcLqvaFWtb0id+ZFzab6VpuLG0Tz8NOqeNlgKgtUCvEUnPOWdN2m3X7VyrKrUndF+kbPDLxP6vRejZGhtXWqG7F8TpmD6bAQAAgBpIUnkfRkS/QESfMcZ86vC23yGiPyKiNxljnkZEXyWiJxERdV13uTHmTUT0WTr01sBndV23SDVSKxUzR+jUaDcXSTpnKyer9fnWnjAI1aUVfy2pvR5uDA621gZtynjL9N2cNlLtxs5PYl9uGn8sJbc0TT92bVIpwZwNobR13z4JMaFaY0ytMb18NgMAAAB9YcbwAW6M6Waz72pkabSgJX31SyilNea8Sh3bWLos5zimIrihuvqkhh25wkBqj2QtnHXkUw58jp2SSQ6t3RpyhWlOFEwzsSQ5Ty6zwd0uuT5+5NK/tyRjWDOWJNetpIzUFk6YcsfXzGhx6/Tt297evgTpqGUYY4Z3EAAAAOwmop/N4pcf9cEYRDKHnzIqFYQlDljK4ZbUnRIoWpFXS5DGoid2n/06CK6sNDIVEuPu/zWcZMm2UF+HRI3v5GvsDJXX1uEeV1PMx9rMiSLWjsTXqlNyDVNthSKVtTNDtGm+sf01n+MpUeyPzbF+hgAAAAAgzWiEacxZ4lLJSiOKnEOoEWqSyFOqDUk7oXZrUJpOp6HEYfT7UWoLd5wkWhaLYuWeR2nKeEzY+PVrU6g19sREUkr4p0QWF0FO2SG9Jppx4D5vSu9XFzctVmInty2VYaGNxmoiqSXjX5NyWzqpklMeAAAAAMMzGmHK0WoGPJWypj2Oq6d2JKcv+kjZ5SYZOAHvO9459kgdX2l0i/u/RT9JhGzL6JB7jRCFqk9sYkuKRozacn5GghRJZB8AAAAAoIRRC1MiXXSsFdL1eK1E3VgFbokwC/VjTJDFxGnOOsVYxMhtK5Yaa+tICQKJbbloo8m175Va9aXEjmZiKOeY0usUW0upGZepcjXSZvsQlKHz9zNhYvaErkksNV4aCQYAAADAuBiVMJWk2HGOSkjcpBxETlBIorQaB9avr4U4qSHYLCVRyRKBKqm7b2fat6NGiqGWWuccu2800WFbPhXxk0a4Q9c1dTx3j2vKc3DrmnNShSXY85tMJskMjtjkTeg65GaFSMumntOhY1LpxVwbqQwUiFAAAABgd6DL52qMVBBqt8UiDKn/ifRr9mqRcraJ+HQ+f19ofym+fZJ1e7HIR+xYafk+zrM2uREeqV3cOBizM6/t75QgjUUufZHt90+qn/xjJfeAi3SNp+Zedm0PTSj42/oY4+5v176YiB5rtggAAAAA6jOqiClHjbVMNZyb3PWOYxcAROU25kYzXWc1leqXU69rmyZSE6tXIwRLoryxKBm3nSsvbVs6OZASRzkpuNr+iU0SpURYrJ6apCayakTeNf2meV5xbdTsK+kzJ9dmAAAAAKwvoxGmNdNd95JD01eKa2tKI6GpqGqOo1sitvsgJHjc35KUTu06zNap6a2QpruHJkpix7aCs00Kd/1zx/RQz+TQGN8NzzwAAAAA7GQ0wjREKLW21FnMiQbkOvOa8i6S70z17ZJst6SiXi3Wo8XWx0n6KrS+UWuTpL1SIasdI5r6U6Kj1YQFFzltLU5rRLsl6zJTx4Yi4bmR2VTklHtGcanAsWeZ9hkQuidS0fDUGlHOLq4//ckVAAAAAOwdRi1M3QhNyXqj0pS0mCPrr50qdahiaa0t0NRfO1oRapsTVZpJAUm6Z05/psSeVvCk2oohTfXVtKWNnGqpOZZr3GduXanrGhLgqW2x/bXvae0kQcuoY2jyQmqjtl8RQQUAAADWn1EL0xStRZsE12nVrLvz97vH+85brfNLRS5dYhGQWkjEV8wB7fu6D+385kTsW1HS9+51rTnZkRvhjqWLpiKeXLSvJSXrl6WR7lQUtfQerB1lb5UdAAAAAIB+GY0wTaUmStNzc5zTnJRXIj6lLzeSFUpZjpVtEXlq6VyHRGYqDVia8piqK1R/bWoJpFiZ0qgyVzf3/9CTPn22FetPv2+5fbFx2nXdjq+GSQnz1CSX9BrViqKmnk+a9ObQ8Vx70mwHiFMAAABg/RmNMI0RcnJy0ztDTmBueqfUhtTxEjjndJ3WY7np2alyku210krXxanloo3uPm57qr6+xlEoCu+m6Uuug9ROaep1qt6YKLX7JamnoXISNJkXkmM1GRGSyTZNGnhtuHt5nZ6JAAAAADjEWghTCWNwRMaUajlm/H4qcSS5NOrYWuAxjJMU62SrZYwRK2nqqgZOXLrbYtHTWAZIrP9KJl4k+MsI7LY+8e/ZVgIeAAAAAONlVMI0tZ5LGmXLWevJlY1FULhIkyuSuDQ1P1JYEqHNiaDUcDZz7K8p2EPRm1haYQ1qp7e618cdT6kx14LSdO5YerGE0vMKRY79fanoaSoy6J5nLBoaGou+MA1lDkgyCiTnlDrOt1kb9exTBA5xXwAAAFhvJpMJ3f/+96f9+/dHy33zm9+kL3/5y/0YBaKMSpj2QUh0xtIMtUidpb2eclbDoVzHPpRMsGjWHJcwZsc+RwBxafqptZ/+tlBZ+/dkMqHJZLJD1Nn/JRNSy+WSuq6j5XK5+rsWuffD0PdRzUmNyWRSwyQAAABrzlFHHUVvectb6JRTTomWe+UrX0m/+qu/2pNVIMbaCFOp0EtRO2oYale6RrKkbY1zXdpeLEUxZEuKHGe0dmpu7Nr5/cpFvkrWecai2SXnVVNkSNYXxo4JnVeNtZ/+eZYI2JANbjTU/kyn0yOEaSxq6gtT+/9yuaT5fL4Sp9p7QRsBTtXRYoIi59mkTcV3x8GYJ1oAAAC04dRTT6Xf+I3fOGL7xsYG3elOd0pOWD7qUY+iV7/61URE9IUvfIH++I//uImdIM2ohem6OBm+nWOwO7bGzU89rkFqfVwqTTtWVyziVRuJnbVTT2P0seavdByUTgjVTgnXZizEJlvcSKj92xWmIUFqty2XyyPstSLUfUvvcrnckdKdcz5u/SX7ObiJmSGec0NHdgEAAIyDY445hm5zm9sQEdH97nc/eupTn5pd1/d///fT93//9xMR0Uc/+lH6m7/5G7ruuuvowIEDVWwFckYtTInSoqVFG2Mj5Yy1dBDHILLHSquoOIfGIc8RvjVJtR9rUxNhi0VW7biNRdK4GVRb3opP92c6nR6RymsFpv2xkVC3HosbGXXtMcbQYrFgI6tjfzZJ0WYQaOuuNWkEAABgPfiFX/gF+sM//EMiOhQZrcUP/uAP0mWXXUZPf/rT6S1veUu1eoGM0QtTonRqZQ1iET/OAZY61xokawtriSFtym1qnyY1k7NF41j6a/ckEdW+HPw+2olFUccuZEIv+yE68qVCqeNTadSxCGus76wI5cSpjZj67XBpvVzdvvCcTqerbYvFYiV8pfdB7fRft0wsMtpikqQGYx//AAAA8jnrrLPotNNOIyKiRzziEXTcccdVb2M2m9Fxxx1HT3jCE+h2t7sdvfa1r6Xt7e3q7QAeM4YZZmNMZ6MRzL7V325EoXSGvDQyE2rXj4SEbAwJ0BrXQ+K8++3mUiNSoRW1EmFagjRltAa11uCV1FHLrhhcunuoHW4iRjJu/bpCx8baITr0obSxsXGEMCU6JFpnsxkr2kLt2WND60y3t7dpsVjQwYMHd7wQyX3e+b+58/dxj4n1d+w4rmyr+8OPcsfKSc7n4MGDl3Rdd0Y1A/cgxpjhHQQAwJ7HGEOz2Yxe+cpX0lOe8pTe2v3qV79Kp556Kt100029tbkHiH42jz5iGnJUaq7zqyUIY2mDLchpp4VT6TvcXFs5NpUKohp1tRapJWNlqOhQ7rpX7blyE1EtsZHSzc1Nms1mwZcc2bLu+fjn5QtXP6rqpvzaCKwbKQ3dU7n4NsTKWVLCtSb+faadcEGkFAAAdi+nnnoqvf71r6e73vWuQ5sCGjOq9+r7UQJ/u7+tZrsau9zfElHWymkqFTQSR7WVDSFSQjDksIZSKLljhsAdQ/64kQoGP+VVOmGTc436TH32z0X6DODqkhwTqsddS+r+cF8Fw9UVOwcuquqeu03h1fR77DmUc825yHLOM6Jk7GgzOkJp1GO45wEAANThmGOOodNOO61J6m6Mo446is466yy6xz3u0Wu7e5lRCVOX3MgKRwsnJdRerlNYC6mAb+W41XAMa0ZQx+SghiZeSkiJJcn1Dwnm0HHS68ulzGoItaUV8iG7/G2uGJ3NZsGoqYV7467dnupTu91/u6//HakpNIK0z2eT9ppzE3+puiBEAQAAtOSOd7wjve1tbyt64y/QMepUXl+U5IqUXGeMSyN0Ix0pJ9AScoT9lLUhBe1YCK0z06QgSo9J1VVybfw1cLUc51R9GptDfZ1qX3ofukKDi2Zy1zh1frZ9ToxoJ6f8tqwwdNuZTqcrAcq14dth61gsFkfsd/+2Lz0KRVVtX6REmiTbI3R86jpy+6VivzSbQ1pGmjUAAABgPfn93/99OvPMM5PfRdqCa6+9lp797GfTpZde2nvbe5VRC1NLzvqilCPl7isVDam2cqKWmkgY56hJRXNLJLZIaWWzL3L66BtNSqi7TRoNj7WnOb+c+y6ERJxKhKUvdkPCWiKE/fKxlF2//2PCmpu4Comp3GuaouZ11ranEZfuRIOkbvf4ULR06KwVAAAAdTDG0CMf+Ug688wzB2n/lltuoXe96114+VGPjF6Y9pGilRM1ykUigMaYllY78teaoe2tKTByBWAqqp9LX/ekpL1ScWzr8NNo7Y9NyyX67tt17UuLYoKYE59u6q6L/yZe9/8cNKmwof9LBXOLsedHtu3PbPbdj7Gu62ixWOyIcgMAAABgPRi9MHXRRH5qRAxy1nnltMml8OXUk9oeE2upVLycqPSQUQuteAqtA+TqC0VwJOerSaV0t4eEQug6cwJJikTUayLMqdRLDW4/S9NU3X2hSKcvenyb3f/tW3Rjac2uuHWjglZ42m3z+Xz1t//j02KyRZqiW/qMk9bh96ff9/baTCaT1Vf6bGxsrCYN5vM5hCkAAAAwAp7ylKfQvn376JWvfKXYjxi9MNWmiGmIiYEcR0wb3UrZMQRDp8Bp28/tc0soapQSqrZsSCRJ2gqRc05aYZzTz+7xNdBMlKT2pc4/Zb+fGuqLVb9tW58VQH697loYV2j66cBWRHHfXSo5r9C5uG3FxpNknLt1hvb7ZVLkpv66kdKNjQ2azWarr/chIjp48CCEKQAAgGIOHjxIt9xyy9BmrB1HH330ahL5qU99Kh1zzDH0hje8YfXujVRa9OiFaUs0EdgUNQVdTrqvRMz4jvbQIrQUieMdI3T9pamQLUhdkz5SwftO1S2lVmRXWmcITmzZ9F1XyLpR08ViQfP5nJbL5UpQ+WOx1TrUXFqOj1Amif1txehsNqP9+/fTbDajffv2raLY+/btW/XnN7/5zWZ2AgAA2N284AUvoLe+9a108803D23K2nDMMcfQ+973PrrLXe5CREQnnngiGWPo0ksvXX2mn3LKKdE6RiNMa65J0taV267G6fXF01BrIFOpoetE6ZjhBG2f/aCxPzVOYudSGlGWRtVitrn1aY6RlI+tHZW2xf34aaRSG7h7y/2xEVI3UspFTMdwT0onaVJRVv//WHn32vsp1jZSurGxsYqUbm5urmZnl8slzWaz1cwsAAAAoOHqq6+mf/qnf6KLL76YrrzyyqHNWRvuf//704Me9CC6973vTccff/yOfXe7293E9YxGmIbIdaolgiPk+JWkznGz/NLInrsOzXXKctNEueNrCgqJc9maUmGvmVSQ9rEE9zpz9cVEq3atXgmtJlBqpzWn1mSm6vDFovS19JPJ5Ii0UT/KaYWn+7eN6vnilIuYhs5TmiFRE+3zQzt5R8TbPZlMVt8vu7m5Sfv376d9+/atBKq7LhipvAAAsHvoe5L2s5/9LD35yU/utc3dwDnnnEO//du/XVzP6IXpmEmt3YpFDNxyOcfXuFFzIllaWgvVmpH23JTgFrTqr6GicH33a0pQc+LPRtlckeOvN7VjhBOQ9nhXiNr/feFpxdNisdgRMQ3Z6DPEOPUn4Li1t3a/vy23PRsptb/37du3+rGpvK4wtX2LiCkAAKw/XdfRc5/7XHrIQx5Cf/Znf9b0s2+5XNKznvUs+tjHPtasDZBmVMKUi3KGnJxURElTPrXPrddvxz/etzf0vwSpUBo6PVf7oKgpJkuRXpeUiB/inKSpuy3sqiXi+5gcibVp/7fi0BhDi8ViZYsritzyrpDk0m+51GA/Kht76VHqeZQat1JxWDo2SlKo3fIpO9yIqf1x15va69Mqwg8AAGAYPvGJT9DW1hZdcskldMoppxyRJprL1772NbrmmmtW/y+XS/rQhz5En//856vUv1fYt28f3ec+96E73/nOVeoblTDVUisaV3J8Ku2uZSSyplOZqk+61owr31IojUXgaimxe2inO8f2vqPRkkipP+lko5dEhz6gptPpDmHqpwS7UVL7PxdF9b+j1G/LF7atJhK48w6Vi5XRrL1NEUtdd8eMjYzu27ePNjc3aXNzk4466qgd14joUNTbvggJAADA7uCyyy6jBz/4wXTuuefSU5/61Cp1vuxlL6NXvOIVO7Yh20bP3e52N/rnf/5nOuaYY6rUNwphmuPkaCIGKdFVEnEMpbNJ8W1LtemnFIb2cXXHiEWnNdtCAjZ2vbiocsoxdo+LOd2aa6JZ9+iXz4mM2+tTO8qjETZ9R3o1Exyh8ZUSnZqUebvPXQNq+8SKUzed17/mXAouEe0QoH5ZP9qaQ+5xKVEqEa1cPakx7I8zyWSVm8o7nU5XP7PZbCVI7T73Xmol7gEAAAzHYrGgv/7rv6aLL76YiIh+9Ed/lJ74xCcGy5933nn0gQ98gH73d393FWX9X//rf60iov/8z/8MIVqJ2WxWzYcdhTANUdPJ0bbh1hWzQ0ONqJHW4WopPCRiX1I2VkeqDW0kqCYSAa2JQuegFWGSstKJHC21Mhtq3Efc+LSpvL6A9FN5ua9/8W1y14669XNRVW06uSZbQTPRpSFkd+ja5NwH7mSAK06tIHX3ucdAmAIAwO7kQx/6EH3oQx8iokOfv4985CODZf/f//t/dO6559J//s//efW58Na3vpXOP//8fowFWYxCmGpm6iVoRJEbIUnVE9rfh/iICQhJNNL/WyK2+4rgceenGQ8lkc4W+P3cenzsFdxxHnpmSCezLNw9MZ/Pd6SH2nJc9J/LTghF7kJvii2NnmqQZFpo6/PrybWDw5jvfnepu8Z0Y2NjRzaMG4W2a3cBAADsXl73utfR2972tuD+m2++mW655RZ6zGMes1ri8e1vf7sn60AuoxCmOZFH//iQWPGdvtAsv8SelGMba98vr3UGubRRTduSNNnagi3VTsiplUwISPutprPv2mWja75NXPRIcq1rRiFLhEbJcam6ao4vjSjNiSDb326ajytMY1E5X6D6f0tsjE2i1Io8++Ok5Pq0eHa4P34Kr+1PNyLt9jWEKQAA7G5uvfVWuvXWW5Plrrvuuh6s2ZucffbZ9OAHP7jqux1GIUxDpMSmu00jglJ15don3VfarlR4cGKPE7hjQpqKl5OiXCONOiaIcvqzhkPfMl17TLQ8R78PuTEYm2SITVrFykqzO7jIbApJVDJmNxdZlUziaSZiNGm8VpjaY11R6tqOiCkAAADQnmc84xn0Uz/1U1XrHLUwtUgcJEkdu915j52jddRqRjZCDrY0Ta9Guz6aNO6Stn2RImmn5Rj0U0lbpyvXImeCRhL9l7SbShfnxKqbPhoTaVJhJBkPmjHjizYtqSyM1HGhNOccO/yIqf8iKitCJ5NJ8DtkAQAAALA+jFqYciIjFSHlqJGqFjpek4pbW5S4DrI0Ilo7tbUkailJq+6b1mmNqT6Tii2JsOobbuyV9KMkI4ETkNJ2Q+NOMuEgnYzw606158KdV45IldiVcy+norsSJGn7br1cf7jfB0tEwTclAwAAAGDcjE6YhhzaVJRMk9Y6lNPSMmKWEiql6w5T9aa2ldSba3PJubaMOkrEqfvm19bkiLpa5EbTSo7X1M/t8wWSJIKam/YfGyuxiZ3a/aIZi6Xj1s1GsCwWi9Wbjn0B2nUdzefztcoUAAAAAMCRjEaYppz10uiQH1X00/JykR7fh8iQppPGjpU401KRG3LUtdd6rEJJev7SOt0xmormcf/Hrl0rwcK1EYNLjw3t00Y9/e1+37hR1pBtqXq5tlORw9znDPeMcuus+UypUZd0ksof46ln+3K5pO3tbZpMJrS1tUVd1+14KZX93/YXIqYAAABAe/7kT/6Ezj//fHrpS19KGxsbVeocjTAd0pHYC+tPXSSpj7lrzfz6Q2JjN/d5znnVSIvM7c8xXIvUhImkfOw8JJMIrdcnx9q2xO6dPpFkX9Sqj+t7N2q6XC5psVjQfD6n7e3t1TFu37hi1IpUAAAAALTjwx/+MF155ZX0zGc+k+585zvTbW5zm2DZ6667jm688cZknZNkiZ7QrNnS1OdGHVq3mUNf0UA/OlHqXKYEg9vn3Dqx1umYLprrnCobGkux8pp6tFForj81dowBri9q2Ov2jdtHqedBi2dR7eNaPbu04zuHkO22bfeHiFYR04MHD9LNN99MN910E910001088037/jf3X7TTTc1PQcAAAAAEH3lK1+hBz7wgfSqV70qWu5//I//QaeddlqyvtFETDlK1hlqnasxRI0sXMQk9mKZ3LVV0nOuvWZUs79k3RiXNiqxQ5PGWdo3qTEeSnssmViI2S5J9S65V4YW0C3XIcb6tdazpfVzKnQOoWdSji3cc42b0LLXyqbzLhYL2traWv3t2ua+iRdfFwMAAAD0Q9d1dPPNN9N73/ve6PfKfvSjHxVNGpsxiLHJZNLNZkdqZI1wCqWmcpG53LWBkjRBbTpgqnwqpU77NTAt0hW1ab/cOYb6sFRISM9PMjZCa/3c37E6UumMoe2+Iy8Z79K0Vul6v5zzlSC5tiVp5TWQjkHtc4Oj9jnVuja5GQ6a55IfKZ1MJqv/p9MpTSYTms1mNJlMaDLZmezjRmFtWu8111xzSdd1Z4iNBUdgjBneQQAAALCbiH42jzpiqkEzex+KNNaIBGgpFV6tI3YtbKjt2JamBUuPiQk66XWUTo5o0Yqf1OSA5JjahIRdqs9apIX3df+H2o4tQdDUoyE1CdaS2DX3I6euMHXvPz87AgAAAADrxaiFqSS1kdvnbwuJhpgzVCqeJFHZmE3SSKs2FVRSp6R8jhjoK11aEj0fGklfx/pYI9ZS7bvlY2M/dxIjFb2VRBil91huirXmfHKiyyUpzNpzqpkF0VKQhsY0t88XnW6qritKx3SPAwAAAEDHqIVpDOn6OG3kwU+d5OqPOT8SUesLjhwnP0c8S9vhnFLpOYdSQ1PR6BoOcG4dtVNRpSm7IUfcj/60okUboesfu3dSYyuHVpkImgkbbd3ufumzxq8z9mzhJt5S10MqUEsn9dxzjglWzlb3x90GAAAAgPVi1MI0FPmSYoxZpXzZ9Upcvb5jw7XvOmh+FDYktELOkSaS4pNKt0yVKXXYubY0QnwIWrUvjZxZuCiQJDo5BH1FtyV2AD2pMRmKVLvPN25fDC5qWZoebJ/h9vk9nU53PNftc3uxWKzWlo5h3AIAAABAzyiFaWj2XzsT7748w/3b4gpS69SE3uboR/y4aBcnRHKdJI2IkdZRSswmSVt+9Hq3OpDa83Kj4C3bkdrSKno99PXmovah8RuK+MfKcPXEbEn1UepalETr/fKhZ5f0uZNKKY89J2KTM5PJZPXiIytM/UlG995ZLpejmVQBAAAAgI5RClOLxsFw39JoHZfZbHaEc+O/zXG5XNJ8Pt/xt23T/ds9Lpbi2jLC4zuJWiGc62BK1sdNJpMdot531uEo1qN1X+bU32dkM2dioyQluJRQBFEz2VQj/V1yH3JZIlLbUpN1ksk29//pdEqz2Yw2NjaOiJi6kd3lcknT6ZQWiwVtb2+rbAcAAADAeBidMI05KqFIpfu/FZ/uVwvY365jQ/Td77ubTqc7HBw3UmAjqf735sVsl67zkqwf0zifOcf4cM6rvw4s1I42RVkiMDRlJJSKZG2U2G03VN9QxCY5UmJDOtZKMgYk90foWI0NmshgbUraTUU5uYirtG9Sz9rYse7xoeefj3tP2ef3xsbGSpjautznt63bPtsnkwkE6Rpx97vfnX79139dNP6vvvpqevnLX76aRAYAADA8T3nKU+h+97sfu6/rOnrFK15BX/rSl1R1jk6YauBEiytK7Uy7Hzm1To6NiLprkxaLxQ7He7FY7NimiThwdtZK7Q21m0r94yIinKAMObXcdi6q7O/3r1Vf6bwtxEapiEkJe7dMX0ja1p536QSAdJ9W9EujgrnZCVLBFqs7ZEuqbskEQ4iSe1JTf+wY9zm9sbGxipraPrPPGFf0upOIWGc6bjY3N+noo48mIqL73Oc+9LznPU80dr74xS/SX/3VX9HBgwdX27a2tuiWW25pZisAAACe2WxGxx57LP3Mz/wMPf7xjw+W++AHP0hXX3013XjjjfK6axhYE6nwcx1DN0q6ubm5EqWbm5s79rkv0SAi2tjYOMKZcdeazmazVXrY9vb2jlTf0FrUIeCc0ZAQlOA7zn7E1P07lI7nC3nfgeTs9u10j82hhSjdC2nJuaIrxBDRSK2dKfsk9o9hXORE82P1WFJpt7F63GdR7Bg7ieg+v61A5erzU3nd58oYrgU4kp/92Z+ll7/85UREtG/fPvE4PeWUU+iTn/zkjuv61re+lZ797Gc3sRMAAECYRzziEfS6172Obn/720fLveY1r6GLLrqIHve4x4l10+iEqUss7cxP/bJrSKfT6WqW3abwuoLUnXG3v10hNZvNVmJ1MpnQYrE4IsK6WCxWayo1UYZcUSNJhXPLaiJIqchNTJTGIqyuMLU22b9tyl1I2ErPNYT2OG2kKBWVtkgjcyVoxoaGXKGWK2CGJOe+zL220shn7Fi/bKi/QzZy+7mJqJgt0nYluOm79vnt/nCZGL69bh22HjAeNjc36Wd/9mfpMY95DN3lLndRHz+bzejEE0/cse0Hf/AH6SlPeQq9+93vpquuuqqWqbuK7//+76eHPOQh0TLL5ZLe/va303e+852erAIArCuTyYSe8IQn0CMe8QjRs/z444+n+9znPvTUpz6VPvzhD9PnP//55DFmDDPLk8mks+laIUJrnowxKxE6m81o3759NJvNaHNzc5XK6/649fkpu0S0mnl3U3u3t7fp4MGDtL29TQcOHFh9NYE9xp+hz3E6cwgJ95TQC/WlnxJtnT1flNrfnHNot7mRZ79v/PRpv22f2mM0JuYkbcWOlzjnoTIh4aG1RZqemoufjiq9Pq1EdIjU86Tm8VyGgnScSccgJ6BrC0SJHbHjQn/H9rkC1D6/NzY2Vqm8NrPFneRyJ7pcexeLBW1tbdFisaArr7zykq7rzpCdPeAwxlR5+B533HH02c9+lu585zvXqG5F13X0qEc9is4///zV/3uN2HPqmc98Jr3iFa+IHn/gwAH6gR/4AfrCF75ARHuzDwEAMvbv30+XXHIJ3fe+91Uf+yu/8iv0F3/xF0RE0c/mUUdMLTFHzYonK0ZtKq/93xWkrjPjOnmuc+fPttvoqG2D6NDaFhs95epbh3TPVKTS7Vv3b79M7H8bHXXbtNFo+7/7UiktuQ54S3Jscb+T0Sd1jpqxJhWDqUgaN+al7WsicBpSkzItid1HOeOBE7mldY4VY8yO9aT2hUez2YyNlroTX25akDuR5r8hHOxejDH0v//3/6abbrqJiIhe+tKX0jve8Y5hjeqRRz/60fQ//+f/DO6/053ulKxj37599IY3vIEOHDhARETPf/7z6YILLqhmIwBgd/DkJz+ZnvOc59App5zStJ1RCVPfEZNGB0KpYH6k1D0+lkoaSkslOvQVMm400P3evFCKnDaFNtYHXH/5bWmddEnqoCtW3agFV8ZP3fXbcfuKuwYpx7uGgOH+rxVNrFmfhFhkKiYEY8drI8futth59ykcJfdhLiWTIjUnEmLXniubk5mgvWZc+VhU1T6//ee2/3xx7eSeLUNMSoA0d7/73ene9743bW5uNqn/tNNOW/39kIc8hK688kr61Kc+tavf4DuZTOj000+nhzzkIfTgBz+4qC5jDJ1++umr/x/ykIfQLbfcQpdeeumumgQDAOSxublJp59+Oj30oQ+lH/7hH27e3qiEqRbXoeHSv1wHRxtxciOoNlJqjFkJUbvNjZxaxv4wj0V4QtvdSLIfCfUdSLuG1O0H22+ccPXTfaW06OcWEcjU8aHxJ0lzlrZR4zhuAqGWGMipJyUOYxkMmgmEVNmSfig5b9+22u1o8OuX9K8rQv13A7hZK+51tBOD3D5329ifwXuJZz/72fTc5z63l4mD3/zN36Rf+IVfoNNOO42uu+665u0NxVFHHUVvfvObm0QuXvayl9Hll19OD3rQg2hra6t6/QCA9eIOd7gDvec976Hb3e52vbTHf7/HwKQcCzfa5kZLufTTkPBxo35uXaFIoOs0uT/WuQpFBNy63b+5Wf9QH6TKSkmlRPv95+/zncBQRJVbn+p+TY+/7tftw1AU1v0/dQ7+OXNR5FjZUKQmhn9s7HjJREbIjhznjhs7EjtDdeUeG7KlBPe6piJ17v+ac9Ccpx3fITu1bUva8+9RaR+X9kHsnvNx7XKvmf2+UjdaGnoOuW2G7jebxYJU3vFQa6xL2/I/j3crrfrVGEMnn3wyvepVr6LHPvax1esHAKwXfT9XRx0x5SId7j6L6wj6b98lSqf0+aKLc2ZtfVagdl23elGSfRmS217IkctN25UQiwq57XD/ax32WPnU8e4aMPu3/e1GU0Nt+v9rxQ533pp061o3pybaVTMtVSIkNHD3jn9tavWZViRy/+f0X2xCJHXcUNE7yfiVjmvtNXTLc8e6E1Rc+m5ojMYmH9xJSAjTvct0OqU73/nOtL29jTfNZnK7292OfvEXf5G+/OUv06WXXkpXX3017ikA9iC3u93t6E53ulORD7e9vU3XXnst3XzzzaLyo4yYunCdwQmuUMTUd8Lc6Kn7t52xD9Vr/7ffr7d///7Vizr8tayhC5iKmgw9y8tFnjWzJK6A5xxNNyLivlDK70dbFxFlp/n2jR/J4dAKaL/80OPD4kfzU2V9ap6HNNrXZ9+FotM59YwpLVVqh3Rs2Ek+bm0pV6c/AeL2q322LxaLIyYKwd7i+OOPpwsuuIB+53d+Z2hT1p7f+q3fogsvvFD0EiUAwO7jD/7gD+iDH/wg3eY2t8mu4/LLL6fTTjuN/u7v/k5UfrTClIvASaN4HH4qme88cTPyodl5V1RxX0UTajsX6flLCKXUhX5C9qTs8su42/0UX/+7ZkvPM1RHKj28poAJCTLJpEXIvlxK2tXUJSkfO7ZG35fal2OLZuKmRb0hARuLkoayKbjnI/dslKYKh2zxf/yX1HHrSP26bf3umnYrSiFM9y7GGLrNbW5DRx111NCmrD379++nE044gX7lV34Fab0A7EGOPvroIlFKdOjbTW644QbxmvVRCNOQcIsJKL9c6LjUjxbXkbIz/qWCyrUnVU/KwUy1I8E9R//YkHgNiQ/X4bX/++tL/TcpSyYlYo5uKrpSQmrsSNrSjrtaaaepfVJb/Otes2+15XOvQ0yQlkyASeuQ4kcFQxNrIWIR99Tzxj021o72mcpNSMW+Z5pbJsFNfPlRUwBAOfv376cXvehFdM455wxtCgCgJ4wxq6/c7JtRrzGVYGfJ5/P5aubc3ediRYt1ZNy3zPrliL47E2/fKGv3GXPo7byz2YwWiwXNZrMjXk1v26pN7Tq5/nIdPVekcg6sm3obWtfr45Z1+9V1tq0z6gtN33b/OLfOGL5glhCywa9TUoc7DnNITc60opbgGhL/3mzVd9wzYIi0XM19EYI7F1cwhjIU/O1clHQ2mx3xbLbPWN9+rj5bZrFY0Pb2NoQpAAAAUMADHvAA+uu//ms6+eSTe297FBFTSRSU2+7OqLtri+xPKA3N/z+WyheKEPplSsl1WEOOn7btUMSDi0y4/4d+fNtiDqrvrIb6OuT8ur9LSEV+YuNEut3dr43cSyKA0gmRnHY14yo0llLXURJtzsl2KInsStqT1F8zIhyzo4SakyWS8qk17KEJBD+KbJ/99vNgiAkAwPO5z32O3v/+9+OrR9ack046ic4+++zevjICADAcRx99NJ166qnF9/uFF15IH/nIR1SfyaMQplI4EWKdEvszn893CFRJup/9293mO5n+OkjOHj+tzLfV/i8R3al+KI24ufX4P65jF0qbs/8T0Sollyvr9pn/ciP/a2X8chohERIGNYVCqJ0cOzlbUlHmWtRw2scQOa0lMrUTTNIoeS1x5Lcnnfzxt0mfGbHxmZqwkUyc+Nv8v7lnkGuHu225XNL29vbqBy8/Gh/nnnsu/af/9J929feK7gXOOusseve73033ve99hzYFALAmvOAFL6DnPOc5qs/k0afyck4J9/dyuaT5fE5bW1urfe76T87JcdNF3W3cOkc/rcxu92f9JZEVyXZp5Is7xl+HpRG87t8hJ5SLdPht+fbHomREdEQeu+1vm0btp/eG+sffXjIJ4KcWao8P2cTtj9lQq71QOxLBEop+alOhcyPMISTHSSZyNPtSY7k2uXaXHBN67sbqkQh297kSmwRz6/HvQ1vHfD5fTUBaUZqajARgN3DgwAF65jOfSWeddRb91//6X4c2BwAAiOjQs+nZz342XXPNNUREdNlll6nrSEZMjTF3NcZ80BjzOWPM5caY5xze/mJjzL8bYz51+OfHnWN+2xhzhTHmC8aYaq9y4xwhN8rnzp67TkvI8fGdJP9vLtrpUyPFT1LGluPOg7MlJ23Q/1t7bpz498uG9tvtpW/oLXFIS6KAEuHqj6lQxIhDEvWXbHf3cSJAEzUMZQPErkGoD6Rtc2WlQkRSxrcn1U+SSHesnpQtObjtuZNUJePbrbcGfpaGW78/+cU9N+yz3c2S2WvCdEyfzSkWiwVdccUVdNVVV/XV5K5msVjQ+973PrrooouGNgUAsAu55ZZb6F/+5V/U3wU9n8/pve99L73jHe+gd7zjHfStb31L3bYklXdORM/vuu4+RPRgInqWMcbmcvx/Xdedfvjn3UREh/edQ0SnEtHZRPQKY8yUqzgHzil1HZQDBw7QwYMHaWtri7a2tmh7e3tHpC31Re5unb6w5dp0f4/FGSp1IEPnxDmRNtIZcwolzr4t56bz2vTgWl8joyXUnvQ6u+Igd2zUEhV7gZR4L514cMe79JicfRrG8szR4j9j/EwP91lNtDMjwz7r3RReOxlpReq69ouSUX02x/jOd75DP/ZjP0b//b//9z6aAwAAUMCll15Kp59+Or3zne/sve1kKm/Xdd8gom8c/vtGY8zniOikyCFPIKI3dl13kIj+zRhzBRH9EBF9NMdAaXqYTfk0xqxSeolo9cZHixU7RDvfKsk5nJxz475oiXOsXFs5gRaqlyMk3qR1xCK8IUHutuOmzxLtfIuxJDLG2exGcbjyrnPq2uHXJTmHHHKilqF9krEbOl4TuYxRIypXOo79Y2OZCDmCLTRGYvWGbE+l/PrHS65rLRGa2zda/HOTTNCk7kvuOPdZyk0Wussn7I+daHQjpX52zF6JmA792azl4MGDdMEFF9Dv/u7v0jOe8Qy6613v2kezu5pPf/rT9Du/8zv0tKc9jb7v+75vaHMAALuEruvowIEDojfcX3vttfRnf/ZntL29TVtbW/Ttb3+7qG3VGlNjzN2J6AeI6EIiehgR/Zox5heJ6GI6NHN7PR36YPyYc9iVxHxYGmOeTkRPzzN7J24672QyocViQVtbWyuH1X0xDxd9kzqZRDudKTeq6qcMp9L7ch0nzXGcw+4LQLdOv0+MMUeId/8YV0jGHEJOLNjJANdR9Y9x6w31Wx9OqOa8arXnjlPuutWipnBy7SQ68hr7SESq9P7072vpeaWuYSryWWsyhKun70i5ZPJFYlOqX9ysFPtVX74wdQWqL0ztca4w3SuClGOsn80+l156KX3mM5+hRz/60XSHO9yBjjrqqOptdF1HN998Mx04cKB63WPj85//PL3kJS+hRz/60RCmAIDqHDhwgG666SYiItrY2KB9+/YR0aEsyVtvvZWIiL72ta/RH//xH1d75orz0owxxxLRW4nouV3XfYeI/pyIvo+ITqdDs7Z/Yosyhx/hLXRdd27XdWd0XXdGKDKYil65joib4mXTvA4ePEgHDhygW2655Yj0XneW3a0v1Jat2x5v69ra2jriO0xT9OE8paIdnC1+f7qi293GHcu17zrcEofXf1GVX9dQTmef7UpSTsfgfEttqCEWQhFQTsSExo4vWLn7w98euxahOiTnkiOeh4KLQKaup3SCyn2muj/2+Wyfs/Y5fuutt7JlQ18Rtldo+dncwt7lckk///M/T7/4i7/Y5Fp961vfojPPPJP+6I/+qHrdAACwl/jd3/1dOu200+i0006jl73sZavt559//mr74x//eDp48GC1NkURU2PMBh364Ht913VvIyLquu4qZ/+riOi8w/9eSURujs7JRPT1HOM0H1q+oCKiVQjazsi7UVV3ht46M25E0BdVbqRU+7KN0lTFWo69/3cs+uj2iz1/G3HmjudSJVNthcpzkcIxkGNTzrVPiYDQRE7smLEQEyyxc41FilOR1dBkB1eWKyOxX1NHrGzJtdNENGM2tChLdGSWhvtcnc/nOzIj3Ei7m53iRkf933tUlA7y2VzKN7/5TfrMZz5Dr3/962kymdDRRx9Nj3vc42hjY6O47sViQVdeeSVdf/31FSxdDz7wgQ/Q1tYWnX322c0nux7zmMfQscceS+973/uatgMAGJ5vfetbqxcYXXDBBfS3f/u3RET0yU9+kr7yla80adOkPsjNoafca4nouq7rnutsP7E7tMaFjDHPI6If7rruHGPMqUT0t3Ro7cpdiOgDRHTPruuCicqTyaSbzWRZxTGn3I1y2Jfn2N+z2Wz1293mlrW461Bd52m5XNLBgwdXX01w8ODB1cy+m8rrRx5TAi5GbUcrJGA4Z95um06nO35sH6ZeIiXF7zv36x+49WM+WrFTSqjfUra1EAwp8SRJqdSOyVwRnJq84LACxU6MSNuQikppNN4tY8zOFPcQuRMYuUiEaehcU9eCG8eScRCLTLsvOrPPFPtM9p+/7lt4Y8LUbWdra+uSVlG/MdDHZ7Mxphelf9JJJ9Hll19Ot73tbYvr+uY3v0mnnnrqnvve1NNPP50uuugikvpSJXzsYx+jhz3sYfi+YABADtHPZskT7GFE9AtE9BljzKcOb/sdInqyMeZ0OpQK9GUiegYRUdd1lxtj3kREn6VDbw18VuyDT0ssamWjofZv+9v+2PWnVlS5wtT9mc/nOyKGbh02ddcVpL49ISeutkDoC18UhKLMoYizdTTdDzEuEub3m99m6EPQ2iOJrvVNK3FcA43It2j7tYYYT4keW8YVPHabJuIcErOpCLVf3i0jmSSolRERylJIXQNJ+znjOCRKbZvudxTbZ4n/jHCfwW5U1G7TnMMuZFSfzSVcc8019LjHPY5msxltbGzQ//k//4fudre7qev50z/9U3rzm9+s/oqD3cAVV1xBj370o+l5z3se/dRP/dTQ5gAAQBaSt/J+mPi1Ke+OHPMHRPQHWmOkgiLm3PkCkROMVoC6aWP2x4+W2h/3q2HcVF4/OhrDde5yohaSelPkRnGsE+muObVtc8dII1Gh/VKnmrOjVJRqopxSp76UUH+kosWhCY/SSKe0rHtMKuobu69Tfejut/c2d7xvh59tEWrflvFtdOvnhCEnTt2vr+LOQ3JtXCHun0vqOPd4DTnjQHr/xL5uK5aNErJjLwjVPj+bW7O1tUUf+chHiOjQCzY+/vGP07XXXrvav2/fPjr11FOD4+mWW26hz33uc/ThD3+YPvaxj7Fldjs33XQTnX/++fTgBz+YTjnlFDr11FN7iZ4CAEBNkqm8fWBTeTViJObk+g6bm3Lqv5XXTx9z3+DrOkE2pdRdW+quiwpFTLn/Q9sk+0J94NqQK25j+9zUXT+11+9XzmHmHHzf2XSj025/u/1sy2soKZ8SK0MgvT9iYpYTbNL2JBHMUHl/zIa+FzQlnLh97vgkoiMmUexx7o87EeWWCd3XXJ2he9//2x/37nn4AjeGuz/21uNYv3PCtiYhYRqLPscmB7hnaqrf5/P5rk7l7QPTUyqvj5t9Q0R073vfmz7xiU+s3gjpc9FFF9GZZ55J29vbgz+fh2YymdAd73hH+vSnP00nnHBCkzaQygsAKKA4lbc5sQhOTCRIokg2QmGjKK5DZp1Au98Ys0rj9R05Gx3lvrs05DilHGtptE3iqLb+MHbTef30ZWsj91U8vtMZOx8uEsKlSofIiQJx+Nfe3+aXG8IR0rTNlUlFL6X1+MdwdoX2c1HGUHkN7jVzha+7ptFmR2xsbEQnH9x73f+KKG6yhIvMclFavy9TfeiXlUzSpJ4/nCjm+qA0supu5663ey6u0OaEvE9sQhCsL77g+frXv06//uu/vuNdEC5XXXUVROlhlssl3XDDDfRbv/Vb9NjHPpae/OQnD20SAACIGYUwlSJNVQs5mq6j40f23ON8ceU6of53loZscOuM2eOW15ynW09KBMRsjJXjHEgr9C12za7dHurXWHQmFD0NIXHcfZtj0aNSfKEQErHcdS61KxQZ1Z5Xq8hZbhupMRmKELrixx9zbkTVvgxt//79bD32t73n7Ru+7TpIG9G34z51bf3tkr6IXc+S66UdJzn2xiYbYvW5E2DSCcuULWD9+fa3v02vetWrhjZjbThw4AC99rWvpaOOOgrCFACwVowildcYcw0R3UxE16bKApY7EPquBPRfPui7fNB3+Uj67m5d192xD2N2K/hsLgb3eBnov3zQd/mg7/Ip/mwehTAlIjLGXIz1QHmg78pA/+WDvssHfZcP+q4/0Nf5oO/KQP/lg77LB32XT42+4988AgAAAAAAAAAA9ASEKQAAAAAAAACAQRmTMD13aAPWGPRdGei/fNB3+aDv8kHf9Qf6Oh/0XRnov3zQd/mg7/Ip7rvRrDEFAAAAAAAAALA3GVPEFAAAAAAAAADAHmQUwtQYc7Yx5gvGmCuMMS8c2p6xY4z5sjHmM8aYTxljLj687fbGmH80xnzx8O/jhrZzDBhj/tIYc7Ux5jJnW7CvjDG/fXgcfsEY89hhrB4Hgb57sTHm3w+PvU8ZY37c2Ye+O4wx5q7GmA8aYz5njLncGPOcw9sx9gRE+g/jr0fw2awDn81y8NmcDz6b88Fncxm9fDbbLzEf6oeIpkT0JSL6XiLaJKJLiei+Q9s15h8i+jIR3cHb9sdE9MLDf7+QiF46tJ1j+CGihxPRA4noslRfEdF9D4+/fUR0yuFxOR36HEbWdy8mov/KlEXf7eyPE4nogYf//h4i+pfDfYSxV9Z/GH/9XQN8Nuv7DJ/N8r7CZ3PdvsOzUdZ3+Gxu03/Vxt8YIqY/RERXdF33r13XbRHRG4noCQPbtI48gYhee/jv1xLRTw1nynjouu58IrrO2xzqqycQ0Ru7rjvYdd2/EdEVdGh87kkCfRcCfefQdd03uq77xOG/bySizxHRSYSxJyLSfyHQf/XBZ3Md8NnMgM/mfPDZnA8+m8vo47N5DML0JCL6mvP/lRQ/SUDUEdH7jDGXGGOefnjbnbqu+wbRoYFDRCcMZt34CfUVxqKMXzPGfPpwOpFNd0HfBTDG3J2IfoCILiSMPTVe/xFh/PUF+lQPPpvLwPOxDDwbFeCzuYxWn81jEKaG2YZXBcd5WNd1DySi/0hEzzLGPHxog3YJGItp/pyIvo+ITieibxDRnxzejr5jMMYcS0RvJaLndl33nVhRZhv678j+w/jrD/SpHnw2twFjMQ2ejQrw2VxGy8/mMQjTK4nors7/JxPR1weyZS3ouu7rh39fTURvp0Nh8auMMScSER3+ffVwFo6eUF9hLCbouu6qrusWXdctiehV9N2UDPSdhzFmgw49uF/fdd3bDm/G2BPC9R/GX6+gT5Xgs7kYPB8zwbNRDj6by2j92TwGYXoREd3TGHOKMWaTiM4hor8f2KbRYow5xhjzPfZvInoMEV1Gh/rslw4X+yUieucwFq4Fob76eyI6xxizzxhzChHdk4g+PoB9o8U+uA/z03Ro7BGh73ZgjDFE9Goi+lzXdX/q7MLYExDqP4y/XsFnswJ8NlcBz8dM8GyUgc/mMvr4bJ7VNVlP13VzY8yvEdF76dBbAP+y67rLBzZrzNyJiN5+aGzQjIj+tuu69xhjLiKiNxljnkZEXyWiJw1o42gwxryBiB5JRHcwxlxJRL9HRH9ETF91XXe5MeZNRPRZIpoT0bO6rlsMYvgICPTdI40xp9OhVIwvE9EziNB3DA8jol8gos8YYz51eNvvEMaelFD/PRnjrx/w2awGn80K8NmcDz6bi8BncxnNP5vN4df5AgAAAAAAAAAAgzCGVF4AAAAAAAAAAHsYCFMAAAAAAAAAAIMCYQoAAAAAAAAAYFAgTAEAAAAAAAAADAqEKQAAAAAAAACAQYEwBQAAAAAAAAAwKBCmAAAAAAAAAAAGBcIUAAAAAAAAAMCg/P8Bj2uUKDS9je8AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T02:59:37.540753Z", + "start_time": "2021-01-24T02:59:37.006425Z" + }, + "id": "A8OdM81iVTKO", + "outputId": "06d4f68b-68ab-4304-d278-334a77e3dbde" + }, + "source": [ + "#Lets plot a second image that is in color\n", + "plt.figure(figsize=(16,10))\n", + "plt.subplot(1, 2, 1)\n", + "plt.imshow(dsb_data[1][0].permute(1,2,0).numpy())\n", + "plt.subplot(1, 2, 2)\n", + "plt.imshow(dsb_data[1][1].numpy()[0,:], cmap='gray')" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 8 + }, + { + "output_type": "display_data", + "data": { + "application/pdf": "JVBERi0xLjQKJazcIKu6CjEgMCBvYmoKPDwgL1BhZ2VzIDIgMCBSIC9UeXBlIC9DYXRhbG9nID4+CmVuZG9iago4IDAgb2JqCjw8IC9FeHRHU3RhdGUgNCAwIFIgL0ZvbnQgMyAwIFIgL1BhdHRlcm4gNSAwIFIKL1Byb2NTZXQgWyAvUERGIC9UZXh0IC9JbWFnZUIgL0ltYWdlQyAvSW1hZ2VJIF0gL1NoYWRpbmcgNiAwIFIKL1hPYmplY3QgNyAwIFIgPj4KZW5kb2JqCjEwIDAgb2JqCjw8IC9Bbm5vdHMgWyBdIC9Db250ZW50cyA5IDAgUgovR3JvdXAgPDwgL0NTIC9EZXZpY2VSR0IgL1MgL1RyYW5zcGFyZW5jeSAvVHlwZSAvR3JvdXAgPj4KL01lZGlhQm94IFsgMCAwIDkzNC4wOTg0Mzc1IDQzOS44OTQzMTgxODE4IF0gL1BhcmVudCAyIDAgUiAvUmVzb3VyY2VzIDggMCBSCi9UeXBlIC9QYWdlID4+CmVuZG9iago5IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTEgMCBSID4+CnN0cmVhbQp4nJ2Wy27cOBBF9/wKLmc27Hqw+FjGSMZIds40MB/gcZIxbAceA/Hvp6i2raJaanaChmHoQqwj1esK/a3bvUP/9cmDv9W/Z4/+0u/e3/z47/rm8+WFv35yoPq9qxwD1BI56+WdvYxcQ6mRsagO/eU35x6cxtczlxr6q3PMgXJBEk8cSsaSRaO3Q1ATQzbynZUj1ZAqgGTV5yCdrLQv7tGvISJIKPjyo+Xl/zf+H//gd++opQI1FeifHRyl4lEPJt8S0v6vca7v/e4j+vff/ZW78o+vIUFT0MJCKJrjFlgV13KYIXPtcmFUCPyaCnfh2jNd7P3uL/QIfv/FsYarCILIKfr6+jT7f90f8Kff3/oPezcRnd4RmAmBOpSVByyEFGqml18PkyWtUhDtkJR6mpFHtMIBJEbgCBV7GsICRxlDkVi4oxl1AKNEgVFyyhBFFrDlu7FgQExYe5qVR1WLGCRnZEjafD2Olu8WuUXLInkxL7M8wEW9oXCJ00jSAnf0dmawijZXjpFbLmvIR/JG5Wqoh4kjCVoqSdOMrTXlDOOoU8wJSsea1Q0UB9F+yu1OHWeupPVrFVzrSTOsuWUsZkwdzcjruBx0SlJqtSvala0vV9txJmFtTcEs1JGMvE3SHGpTppgP87beizMJW7NjLbUnzfIJEhSdtWmJtDWy2oamVG2GIZH0pXpTT+SuhDxVa9F55D8d3Gfajf3CXXeLjfXv/l73kftNH9ETv+RH3f0m0knCm8F+8gcnfJ7dUHQ4SarOZoevlNQDFk91Z+UOYqIc+2FzofmGaRZ/0xbdZIt+ZIubsMkb6UxvFELtSlouPisPFp9g1nNUUj1efIv2TqCxUBdIxzLqCFU5VIkvv9PmmHLVFSJUYg8z8oCmPhWAExHqzNWBOWbRhc0pxdLhrDzAZV3DVPWAEGUe2KM6TfsuBMQOZ+UBruieENEvyFJ0Hw3ssWqN+eAB3fwYeYCroF1CwA1x2hu7KTPmKJhCPtI3GqV9Rc2mOPZIA7UmaZgjlxTtYomI9TCOZ1ilXUrWKw10aJb6uRHwbZWc5ZsG2xmnwQ6dc4E9x0Qt1rqoxY5sdIk9w1FtYY2l2sIOPHWZ4t+w1w372fITNbNVZ7rfdCY98WsW1x/oLPYE48r9BMvc/y8KZW5kc3RyZWFtCmVuZG9iagoxMSAwIG9iago4NjQKZW5kb2JqCjE4IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjQ3ID4+CnN0cmVhbQp4nE1Ru21EMQzr3xRc4ADra3meC1Jd9m9DyQiQwiChLymnJRb2xksM4QdbD77kkVVDfx4/MewzLD3J5NQ/5rnJVBS+FaqbmFAXYuH9aAS8FnQvIivKB9+PZQxzzvfgoxCXYCY0YKxvSSYX1bwzZMKJoY7DQZtUGHdNFCyuFc0zyO1WN7I6syBseCUT4sYARATZF5DNYKOMsZWQxXIeqAqSBVpg1+kbUYuCK5TWCXSi1sS6zOCr5/Z2N0Mv8uCounh9DOtLsMLopXssfK5CH8z0TDt3SSO98KYTEWYPBVKZnZGVOj1ifbdA/59lK/j7yc/z/QsVKFwqCmVuZHN0cmVhbQplbmRvYmoKMTkgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA4MCA+PgpzdHJlYW0KeJxFjLsNwDAIRHumYAR+JmafKJWzfxsgStxwT7p7uDoSMlPeYYaHBJ4MLIZT8QaZo2A1uEZSjZ3so7BuX3WB5npTq/X3BypPdnZxPc3LGfQKZW5kc3RyZWFtCmVuZG9iagoyMCAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDI0OCA+PgpzdHJlYW0KeJwtUTmSA0EIy+cVekJz0++xy5H3/+kKygGDhkMgOi1xUMZPEJYr3vLIVbTh75kYwXfBod/KdRsWORAVSNIYVE2oXbwevQd2HGYC86Q1LIMZ6wM/Ywo3enF4TMbZ7XUZNQR712tPZlAyKxdxycQFU3XYyJnDT6aMC+1czw3IuRHWZRikm5XGjIQjTSFSSKHqJqkzQZAEo6tRo40cxX7pyyOdYVUjagz7XEvb13MTzho0OxarPDmlR1ecy8nFCysH/bzNwEVUGqs8EBJwv9tD/Zzs5Dfe0rmzxfT4XnOyvDAVWPHmtRuQTbX4Ny/i+D3j6/n8A6ilWxYKZW5kc3RyZWFtCmVuZG9iagoyMSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDIxMCA+PgpzdHJlYW0KeJw1UMsNQzEIu2cKFqgUAoFknla9df9rbdA7YRH/QljIlAh5qcnOKelLPjpMD7Yuv7EiC611JezKmiCeK++hmbKx0djiYHAaJl6AFjdg6GmNGjV04YKmLpVCgcUl8Jl8dXvovk8ZeGoZcnYEEUPJYAlquhZNWLQ8n5BOAeL/fsPuLeShkvPKnhv5G5zt8DuzbuEnanYi0XIVMtSzNMcYCBNFHjx5RaZw4rPWd9U0EtRmC06WAa5OP4wOAGAiXlmA7K5EOUvSjqWfb7zH9w9AAFO0CmVuZHN0cmVhbQplbmRvYmoKMTYgMCBvYmoKPDwgL0Jhc2VGb250IC9EZWphVnVTYW5zIC9DaGFyUHJvY3MgMTcgMCBSCi9FbmNvZGluZyA8PCAvRGlmZmVyZW5jZXMgWyA0OCAvemVybyAvb25lIC90d28gNTMgL2ZpdmUgXSAvVHlwZSAvRW5jb2RpbmcgPj4KL0ZpcnN0Q2hhciAwIC9Gb250QkJveCBbIC0xMDIxIC00NjMgMTc5NCAxMjMzIF0gL0ZvbnREZXNjcmlwdG9yIDE1IDAgUgovRm9udE1hdHJpeCBbIDAuMDAxIDAgMCAwLjAwMSAwIDAgXSAvTGFzdENoYXIgMjU1IC9OYW1lIC9EZWphVnVTYW5zCi9TdWJ0eXBlIC9UeXBlMyAvVHlwZSAvRm9udCAvV2lkdGhzIDE0IDAgUiA+PgplbmRvYmoKMTUgMCBvYmoKPDwgL0FzY2VudCA5MjkgL0NhcEhlaWdodCAwIC9EZXNjZW50IC0yMzYgL0ZsYWdzIDMyCi9Gb250QkJveCBbIC0xMDIxIC00NjMgMTc5NCAxMjMzIF0gL0ZvbnROYW1lIC9EZWphVnVTYW5zIC9JdGFsaWNBbmdsZSAwCi9NYXhXaWR0aCAxMzQyIC9TdGVtViAwIC9UeXBlIC9Gb250RGVzY3JpcHRvciAvWEhlaWdodCAwID4+CmVuZG9iagoxNCAwIG9iagpbIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwCjYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgMzE4IDQwMSA0NjAgODM4IDYzNgo5NTAgNzgwIDI3NSAzOTAgMzkwIDUwMCA4MzggMzE4IDM2MSAzMTggMzM3IDYzNiA2MzYgNjM2IDYzNiA2MzYgNjM2IDYzNiA2MzYKNjM2IDYzNiAzMzcgMzM3IDgzOCA4MzggODM4IDUzMSAxMDAwIDY4NCA2ODYgNjk4IDc3MCA2MzIgNTc1IDc3NSA3NTIgMjk1CjI5NSA2NTYgNTU3IDg2MyA3NDggNzg3IDYwMyA3ODcgNjk1IDYzNSA2MTEgNzMyIDY4NCA5ODkgNjg1IDYxMSA2ODUgMzkwIDMzNwozOTAgODM4IDUwMCA1MDAgNjEzIDYzNSA1NTAgNjM1IDYxNSAzNTIgNjM1IDYzNCAyNzggMjc4IDU3OSAyNzggOTc0IDYzNCA2MTIKNjM1IDYzNSA0MTEgNTIxIDM5MiA2MzQgNTkyIDgxOCA1OTIgNTkyIDUyNSA2MzYgMzM3IDYzNiA4MzggNjAwIDYzNiA2MDAgMzE4CjM1MiA1MTggMTAwMCA1MDAgNTAwIDUwMCAxMzQyIDYzNSA0MDAgMTA3MCA2MDAgNjg1IDYwMCA2MDAgMzE4IDMxOCA1MTggNTE4CjU5MCA1MDAgMTAwMCA1MDAgMTAwMCA1MjEgNDAwIDEwMjMgNjAwIDUyNSA2MTEgMzE4IDQwMSA2MzYgNjM2IDYzNiA2MzYgMzM3CjUwMCA1MDAgMTAwMCA0NzEgNjEyIDgzOCAzNjEgMTAwMCA1MDAgNTAwIDgzOCA0MDEgNDAxIDUwMCA2MzYgNjM2IDMxOCA1MDAKNDAxIDQ3MSA2MTIgOTY5IDk2OSA5NjkgNTMxIDY4NCA2ODQgNjg0IDY4NCA2ODQgNjg0IDk3NCA2OTggNjMyIDYzMiA2MzIgNjMyCjI5NSAyOTUgMjk1IDI5NSA3NzUgNzQ4IDc4NyA3ODcgNzg3IDc4NyA3ODcgODM4IDc4NyA3MzIgNzMyIDczMiA3MzIgNjExIDYwNQo2MzAgNjEzIDYxMyA2MTMgNjEzIDYxMyA2MTMgOTgyIDU1MCA2MTUgNjE1IDYxNSA2MTUgMjc4IDI3OCAyNzggMjc4IDYxMiA2MzQKNjEyIDYxMiA2MTIgNjEyIDYxMiA4MzggNjEyIDYzNCA2MzQgNjM0IDYzNCA1OTIgNjM1IDU5MiBdCmVuZG9iagoxNyAwIG9iago8PCAvZml2ZSAxOCAwIFIgL29uZSAxOSAwIFIgL3R3byAyMCAwIFIgL3plcm8gMjEgMCBSID4+CmVuZG9iagozIDAgb2JqCjw8IC9GMSAxNiAwIFIgPj4KZW5kb2JqCjQgMCBvYmoKPDwgL0ExIDw8IC9DQSAwIC9UeXBlIC9FeHRHU3RhdGUgL2NhIDEgPj4KL0EyIDw8IC9DQSAxIC9UeXBlIC9FeHRHU3RhdGUgL2NhIDEgPj4gPj4KZW5kb2JqCjUgMCBvYmoKPDwgPj4KZW5kb2JqCjYgMCBvYmoKPDwgPj4KZW5kb2JqCjcgMCBvYmoKPDwgL0kxIDEyIDAgUiAvSTIgMTMgMCBSID4+CmVuZG9iagoxMiAwIG9iago8PCAvQml0c1BlckNvbXBvbmVudCA4IC9Db2xvclNwYWNlIC9EZXZpY2VSR0IKL0RlY29kZVBhcm1zIDw8IC9Db2xvcnMgMyAvQ29sdW1ucyA0MDYgL1ByZWRpY3RvciAxMCA+PgovRmlsdGVyIC9GbGF0ZURlY29kZSAvSGVpZ2h0IDQwNiAvTGVuZ3RoIDIyIDAgUiAvU3VidHlwZSAvSW1hZ2UKL1R5cGUgL1hPYmplY3QgL1dpZHRoIDQwNiA+PgpzdHJlYW0KeJyM/d16JEmuJYotmDvJzOyq7j0/55P0/HoFvYjeQVfnfJqZvburMkmGG3QBrAXAg7VHUVlkMMLdDIafBRhgbmb/r//n/xtucIdeCzDA4WaAATD3tR0OOABsmMdlADaA/LyucPdo0WDxwwBYtAj+gvMLt7jeDb6yve0Oc1hShA1sB+BY6hEGr6ZggBmWwWDeRmQHzIydk2znDa01Y4+u0TjgsA13krIMYL8Alq8T7nD37QYHNpaz1Y3ghOdozcyW6WZArDcTW0ByALh58Ns4Yniy0AGHb7dr+6+Hb8dhWAfWEWTashCAZzdePFeD2/KtwSz6NoQY+KfDYtDoXBXp7uZuHnoSgw25LMBghwG2N/yCb8cF9+C+mwUXk7FmsCQ4OWtuxQTAsUOx3JPC+LUAmLvBzZGsSl7Gr1DeL1/mUlEPgnOIDmzsje1O3eDPFL9VEyChgANX69Jgy7BgZmbxC8Ei33npeG2DL966SZ5B7aeuk29OjW1aZxjDzT932IQ0mYO3xi2OIMeYwzV3d2DBDQ6j+LBgB0iaWehZDi3kFMpKm3NzN2z4dr8CHxyGtdwWThwGW+gKQMuAKErrB3sC7Gy2yG88SSlc6xrgqfIudXb1FerjLi46coC8Cw4s9zQac3eDUdpOo9G9qLsg85qv1nUihNmzGL1dypf08auX+O+iL+/y1CGTMiWcBLwEXDgo0RoQAqZiPIkIhZ6A+xSW63MOxygTc98AYNvNQxLucNBI4qfxevMAnwRDF1MplcHK+d7vfOu8KHtyeKiEP8uIBA4AlE2Gh3OTF6qmU5mS1hBHDsSxQZAsMEmefyHWJ9nn1WV50jryqkyDhFFfumRzLPeXhdJbdgSYudAECIDwJ+aK9o4mt+bjPrtfNU2hXV5AII3qUmp6NXUV5sGCdFQOD7UshwqDuYYIS5dNrY3hLbbvTi/UhmhdXKHEgwWisI2dn7oBOM1XkqbbpqPlnQBtFyULrygsaR0oBiABhZY7cTX0BZbyblDp3S1wdHWbNULrp6LG7BnjdXNMEoJ7E0nj0RZ+xRvQZUVAIjUWw1PvPUI8mh5hDmBM1NRokCWAavDhHC/dBj92MHTdG9fe7h7ItQzLGM1Ucwt0jK1XI5u/MHBMcVVsMgiWdlJJrdtWRsPbfW/3LWYgojQjoiNile5T0vNJvARImVOCVcZGXg0NsXc3623EeWlYYANNoVjoo0upKHdza9bZpJuqYICtlLtR7qEctBnpthfn5fK8/NtQfyOYsNUuKh9/hS/0apUzlYYJ00R2Ol4gQ9q8PP0oma4gXHfbirhMoYcVr92CT4zN0omNOD4ZllMhhrYe+lvRZiGPCAhzM4OdEGspvlT9ziWPOVwMw8p33DR/l1tg54Yw3eb33EyIyUAfcIuGn1ttVw4L1CQkfCkiDO16L0Q3dM0NtL11wwvcAN++NRlmcOCGtXK+M27d2A+q3k4axSJF6Muo3QAsUdMvJ3qTDLq8wmnHTjtzo+FcxKC94dv35ctghnNhWQ6unEDO8p4Z62Rr+/uZ81Lbcb/Vt+3zS4KuORf5uNIlLF2Dgo+amT1T4GSvD0JqbtVulIHv7q2DCClMIAtcgJbu2JNZiimw4OCclREHNlZ8nvIpL9hpN+ZaUIo4vP8zW+lYqgVbSDzl2J9sLG8JehJ0HYTEvNbtLn1BvW84E0KhZMavPam7yz7HtpIr2YXDgQsMxuVwNhuIzFBz8AUjBl8NGSep/tR/f53oISQH/ATXYPzYeg2VGA5cjLZyF/Er59Q5SRWk0XM2K/Lx3ZPXGbTU5zl9Em3B+Sbx7qmsGWuGi/LW4XUU9kIXm+XEwATwciibLr6iJIBATRoZGhGy5mygiGisLjfdoduBTaez07lty2QLVrFOAYZrEDJtdpopzx4OfIEhFOtNT1Bg7XD37iqiX9eXwQIhyMiSuhXWV/d7dMckG9iQM2zrU5lilQSRbtekETau4oShSY78UUqCdwrb2BbltJuVGWCZVbO6c0qQUw6mUEL6wS1l8Vz6+4VfSUVS2COqUq8i+LJSqnbrbM6lyJZx0FBb6l8pTA3TGA2RywzVXCLPJAgv22ksfpE7C76Ydl+K4jFIKDvAwDeDw8/O3n5HGjmNzcnj+vb5xmcmGYXY/aT9VcLi/ond/rAITZlyccNh8nTsZJpZd4VfvO4WqZxRyqXroNx3lT+IhhtABrnK4obrE7CasU6ir9HN4E6RoMFlCwTF5uDijw3f5seCLcZ5X3GwAzeajJuqUefX09zSCYFqOAoVvjluMNs7vIazr/x8MLNnB9Dxq5mt04G3OLJlt81uuCmLZTAAgPmO5Hj1U0HvbbxSJisgDrQw4EAwz2CpjTv56fCwa1t2PCl4OSbhPqgq9UczV9FgLEA1plAZKMJh/fGXFTCzgy8QMTx2F20x3+56It5LBp4aud23a36QVmRCD2Bv8wv+wH7geqS7t4XjsHWYvcIOW3BfN6D6Cipcqopzq1wl9RYISNDue/vi7Ma6q24VHKea+2ADyRlzt5FcM8bi1mxaiCHP4MjZNB4Ox3EUIloTZmpbWUwgbw8ApEN0Eh5BlqbqSb+dBgA7Q+ty+RjzMqcjq2TP4Hv34+SYG72mwe4G5O1ncdAc1kpuMoigeaVZlTaaCYWLp35vf3mDtqJZeVxi5dQpBzK7tdlSD6X509TAiO6MfrU32tP7snOKL1qL4SdIQJOd4kS0tMWihDJbcPOFVW5I2ChXUMbbDMgZ7RXfgcNivhSwYq2hnG0w+WUkTPwPIm1TzyI93qYL5d+tKwCYLokBja9kfwm2wh/P+pLTMMyJv2Du2QHlv2zgl7pxFm0T/p+8i7tvx7Wx3TfJof7Q0LGuC/sTj1/78YGPn75DTIbzxPliP/5xHC9w2EEO3pgguuSX4pOzhCiONArrTXMT8qWeqS0GRpqv0CXFtItza/OagjExNwsJ1CRpS8iOeb64Y7ttb36YkHQrvaRWuPIa1FVBHN94Vu6sqWJQ3Cu44urstHuosggbP7x/IDq6AXVbJhbyJgcYaCthFGZjxK+c5K6WMwk2W/G0CPfRETl283S6Ka6aCYqsznMC3V9TeZz007LuMipZ3XE+Q9sySV1gbURlrmACBmgrDawRmHbYBgVacnlt0Vh+wECBNBYGC9KCbXz57A7yR04eVLctXekA2rC+KZg1pJ7aIj9z94SavvcApRqu6uKYJfNbv6+1QtVe2Iqrmx3MlzMv/oJLMHB94vrExy///OXvf/r1iHjfzxd7ebXXvx0wYPkyK7trFM0RFlKf7eubHXVGtoHS1aT+bfiGO/aFvT3i/eT1BUQa+8XWgfNYjKXIXAcTAE8ZPNGTPso3/Ho4LscDhrWMQNqZ7E19fH6SaPVVpmfcEXoeiUrHvuKjhXtNvJxNfvK89oj2+6ytDb/YalLmXG2nKo+pDpBgbA74RTg04s/JgGq1aTtVTrCt1Ggfh914VaowruyfxCq9zfnZM1dpBp7BQGvII4fDHPkN4fNKr6lTkbow9MSIgppkNeUCs7BIjQ2oH35k+FxZHtLqDat1V65371gw1ihTKnoVC2/c8P5uSj9aKDfR4LQ1NYCNfi3Y7O02E6mpZcx+Zq3LJiVsO7OEMtBio0bYA/wC9R6slbg83CsM+HzYte36xOef1+Pn/vzDP375rz/8/efle8P99RWv3+zb74bvi1mmCMaG8jETQQdOLp2Yy3HAgRS4c4RiZRawac/b3TeujeuCb84A0vxhhmNjnYDttcoJbg16u/I3tZxLdQ60jCGr8rHmyZZ9jUdqQ6t+mnEo2noCzWHp2fcGk/g5xeXKxGTN5vudUmNL5HSz0GiTfqp0pemuNMmqo4y9ZPAA3K5aTJc+2myOqKXhkhJXsX4UJ9vMeQRoNxdM5jEP6Y2JmjUZb+1K3WKAgnJVddqqBHSWDSMKg80gdJh5oCHFrU8NFD81jsG4gSHLCGe8xNQzBCpCEo3j65iUNePgSgQrlbTdRlyiJtwEDZbI5bWKwAm7HEhhi8ZM0iP/kd/pJs2zUFV1EhU5jPofHdfhT8E4GZ5dCOfpOxWKDOZKQuZuH+/4/PD3P/fnH9f1az9+4vPdP376+7v75djbP4Ft1+fer9i+Nmz5TE8KnNHQk5RGsqe5Gyt47Q5gLXFojDh4dG27Ljwevq9U8+14PEKmODbOE8uu47R1JCRtj1jD9/a2JjuJtRmap/w2sJFrnFeuYS2Fm3hmY9xa5ZPB7kq51RQ1scRZoHS4Jyit6JOyE3s0c9le/al7UPXLJHXFTjh2tPQ77dPA5TYcUS5EKzP3Ha1arqKPxWBceFbLTbhc25mHrAVDt5dDy5IKI9qsjtyTf1IgbSSqiotwMCqlxa6SBRfdGozV0LKT6oMopkJbomyjP9qLlEoHL4TGUu6AufWYj+OU3RUIKI0QxEnoDuxNeU/uWTy6oHJSrY2iQtIVZdPEdBa4ueKMJlp60nIlfSV5gw30D2minuoeo2pLLN1sJ4h6q1w3hrbMRjf4+EYkMBCZeJVfWdqkR3Z5vf/av/70P/7n4/q59699vdvjE5/v+/PT9wW/tl8Gwy70yH82ZugGB1Y8TTIEcDbWhfKpFNs8VBNQ1zPfhu172964Hv7x0x8f2Nt9Y2/7eMB9m+HlG84X+GOdr3a82PFWk26HLwd8G+yL2mFIeBm249pyo+totbcnawSAyJaR/S017b1pufwn95ElRgv8KqfIK1h32f1TlGdby9IPmx4QYuqAkQyVb+KThm3pZPmuqFNFhahk8TARpnBvSZO/5lXhrFxTvzEMpsEvo6svG+XVtpEp0rVnVEF8lyvUbLs34+WdvqQ6v0hEKV87rrb2LkB6Du3u9CqjUZyA+77gHplqRxFuCcf85WrUdefApmxSAjfYYX0qIcR4IqQcS+LXdvYlVGR4bSYfTJTrKjxgvJyC3zRmZr6IX0L86NkTyMwdewfZ5/XYj899feD69I9fH//j/3z8/Of+8388/NPwsOvC3vtx7b0R5n++Ass25VkrBPXqAGuUJkdzNrSNT8ytL/mjzEIW3j6NdO62yIv4hccHPt/9utwv7Asfj2jR3bEfWLYvX6fj9TRb45myBJAIp2Oq6IomMhgK6u1Grs/BhnPoKVyUgy6LULRAcXZTMb69IUBeo4yx143xWtRAsusGye0OT7r4sGjpsWA6Y4BwKkr6MQpK1kWuOXCOc8+MgKTemobfGEUTiF9efMqBs0uUevNb/tmnUp4EcaoufOEIW9+JX52COWt1RklpNeVoahj3IKeWGFCjchopZxOarXaTGqPRVOupRhn7uEID+vKqymmpn6VEG+LzlkQxqVNaktE/5a2NQcoH1Q2ZQtksMpJfwi8GRsLHUjRIR9pku1Z8Tt1wPaXY0NdVf2iTnhzmdvONvf26sN2uyz8//OPdP3/548M//tz//P8+fv1zv//HxmW+196+3bdvmJvhfME6zc5MnLj4Z0SAm40n+aTOcfbPk7YiM8OXVQuFkmXujgu+kY/vXrY//fOn//q5r89c93EFhC2/Pux4xbX95YHzYesFx4l1UHFKukx1AVqI7g6ON3OlqyaBbhulQsFTSxQGU53T7XYBqNR0c9yMpARyQjUpqAMKwYyp2OCqMmdGXpUWNH+w21q9lZ68EifNEXkPfAO/yh3Co/tVRPqOGBQO2xbry0NNjYoX73r6p7kwjXVgiu8QOsF0AGJdrFJg9wEyRCF1UeGzEe9vTZkejb+yMeWYVrIX1HhoDTUp2Ch+kiTXkzShMcxrijrHzvmy74Jjg618ELXrFWBwI0Is4Cps6PjVwu25GFs/ZbnkIw2vuU49BCIl1uOizS2BcEnd9DBjI48os1ru3DQZkZwbSUL+b4jFNLhg+/K9sS88Hng89r/+2B/v++PX/vkv//zlv/61//3/8/Hxrwufy/2ICpBjm13Huc9Xe3l7eXlbL6/LDrfloa4ZSGoiP9wpF21RpU48vTS0sJla4VJpwmBekG6Pd78+8fGnv//hP//wxzv2w/cndpTcF45fWK/42Hi5rtdt3/7mabYLhfe9851i9B4bIB/9W/QemYKSV6cmkfutyVIOoXrq6zTFmotRimu0r/YMjRea7lVePiKyzRadVJTtLpjDD8DagvoeWGiYXb93QuEC45OlkAxw4IryiqcRD8Th8p5gj6hpoy9n0pQgzHiLYaM+wg66KbZ1pMnUsvd05hSRki8mrG8AuTFZ/4R5+pji9zFchtpNw+zpPiOPzfxKlGD8LAa5kn1mWGvVSgutdJkaEs+61Z4kOcPQ8Gs/FsjVNvIkc8Ep83FJS2GJxh0gyg/jh40LwEnE7KzzpsaySsOZFNb/7jCz7djbr09cD//85Z/v/vnp//xf+/3d33/5n//yz5/+81/7/Z92/Vp+4bquK/f9uAwf//jv396+nS8/1ss3O19hubMKbjHojSdPKouTTrMcb4G9krGKhxuKRU19X3498Pj0x4d//vLPnwlh18P9Slavh69P7FfzAzh9P8xX6GeU3sDAN7q0TmnkJYO59kXCh2Nta6YSgqQFd/C4YYMUgVTkQKkE0gBaaRYRhgKUy7t/WH40OVdXGROAElJfE+wawBxIkS6nK4v1jBdSelxLUE2gzYE8RmHl7FJ9xZc0m56WogFwwAzoXaNtwmEMkKbPMaWgvHv45I60iyPTBQkZElF5D3ZWXO4eTKWN28/IOzc1KZZrgHRUlS3WLLLmf84ZUA1a6c3VWaVKB6OvZmHDI9akuEk/XJc74llie+oOqbXWlnsVJ5onvE2ykqFliAZGv9Zm61Sydvfedj3w+eHXp7//uQPFfv6v6/3D3z/w65/+8e6//rWvd+yH+fbPx35c24Bl13Hs82Ry/MRxYi2yl0EjhyS6gQrBtCgeFYV5E6TPT4pZxSrf2/eFx6e9/8Tnu//5x/7zn/7zn/75y/eGX47Lt+NzY6/LXvDdzm9ue2F/IPPkBwy54qmhD/g4G03UcrZ0VIrTa/cuoUAvXKItAGPU5S0vfq8r0cY4yGWZy28m3ZiQexF4u6MMZ6Tfu8XfGspYNEq0W1XGHuW4AbU0EBUxyBCWwc02tm/fG7hqKF31yrm2FCSYyC811UXweHR989mcEpEjavML1HvcX56mauF1bjzshPXPWzpsDPjpU3JZjNXTlCzwGTxTtLp2olgKm+jsG35pxTxWisAz5D+q12FfnaqGvAuwVU+zF/1XjSjnprV7R2bLfaXdWjyu76nSmyxyr1U+ar9UZrceDWZVfglCbYB6XreUwE1wbijRxBNWI3z4/PTPd/v17/vzl//8j/350z9/+b//n58fD3xc9uvnfnz4xzvw6bgcjsfjelwPg//4Zv/4++uP39bb39bbN7y+rddXOw87DzsObRM1BjIIoUm5ucUTNKUZI9E5/SF2LdqKZi5cFx6f/vHh77/810//+OmfP/3xAd/YF3Dh4f5+7b22PRx/+Ho7Xr8vMCSHIebn0ewWFW0bKEtWzjXa5Xf4xHzYSVj7RgofTR61DNtqwbga6fhl9GZp57y9eVTtTND1oC9hLx8wghK6TDWD8Rw/EzqVE5QGl5Lmz8WGPHFv75xZWweWuKgMGVqjgIwlPTkMVgYARO7Rc/39AtpGUV0Mffg5YsuePKCrMnydK5W6kpOdK0t7B4x7ZX260Or6HpeYbcBqtUoWGrtr8WK4s3inJ6UkoOZDIY1F75RZRq+7GNSkcKyIoHey3Adle24DKD46tXulItNrXM0NWLbD7IVLgtG1O9A3g4nn5naOuoWt+atWiZdAHdv63IOIkdvUwbENj0/8+gMBXj//Y3/+xMe7v/+J94/98bHfPzJHZtsjT/j6ihcc5/Iffzt+/y/n97+t85u9vq2XNzvfzE6zI7cUVSZZZJnGSc5TGn5msqZcM+ntw0SsLGJW2AH4duzLrwsfH/7x4b9++ecvf/zy61Fp/sf292tjbbvcfu63d9uPRQuzmLvnvAw0kYCNNt0hCRMeUPjF2EFDrNIQAO5oYBXgMJV188zxkxsEoJg1vkbNbqbZUdWNQDX3rWjt5EpT466l9ONsmE5GVetNOVoOSE15Cs9z0Vx+I7SUlQs+o8W81tGJG5PvbeaRBclVyOjNWSK/2k58pM7lTmC1IMU7mAuPR8XJREz5HXKy5ZQk6FByljwZQule1GO5heicvQaE0ENkBZEFGWYmhlFQJUduPju2m6cSgU0PaWVxNzf+czouMsaJ7DUbHpUgdlEZgbGmt7oVq7w94+P58IYph5OQ2INz+Th1Yb2xuGI7rk+8/7l//Wt//unv//SPX/h8949f9vHL39+vj0d61JghrrXPw9Zary/247fjb/94eflu55u9vK6XV5yvtg5uNFyuFNI616o9WSt18aQkGjI8GbilThePADwufDzw85f/8XP//MP/9R/++dOvT/gjwnI8rv3p+7G3HdsYe9nCy2nnix0n1jF2VBLMWku9dScg5MgfsQd0FC8ivr00jOH4WQFoL0UU86vbyrSZ87LBvemyc17b/PSgYNp/aok7yjT1TbJ+83pX4TO+Jz2xuOyRIYQfsRR2Ef6VoSEd2+DWZ6VJ0iNbNSPEMTgKa8IyBhDkgskZzBGybG+9uNG0plKpnevjPZ0bDO6F8LdfBfUJNsOx5Zr1/rLRiDs3VchpZDLsWGnNls/Mt0KMxB/MJN03dRMwZ3yXK/QNOUNk/zXfmXSKQn1DUSUnrf2D/NHIooadhLVGgoL5+JbJt1hWydRTei36SXuiqlEXz5ZdsF/v/q9/93/+D//8c3/+0x8feHzi10//ePePd7+uy5avF/vx++vr23r9Zi+vOF/s27f1+mbff9jxdqzTzjd7+Wbnm9nrWqel68iwuu0riBRTImuTxVmrqByo6RM55/qfHMpUH/be18Mfn0nxx699PbCvXHq+tz8uj8qyLdiBl2/H+WrHaStSd5lnqvR4D6gBpZnbIxvlGKrSlA6HE/X+oqy93AlN0aUXGlZ9WmO8QR2RFZqbUIuQz6KjRxXpP1XDvk0z24ccecPsukwr+jgYQjYTvDH4wI2VZTA+ZMB2aysohh7VuBORPCZ+8ZSYMSBgsXABXssiqvnmZTS30cr2ZlQMJOTxByp3p0/K9CWZU+3k1R7/UPwT4gimwfiHiq21XhJQ6pK27U7tQrAr5l9W9KrApA6MXYu8mlYU8c5h6alGMomI1lXSisG57EZIxtFYJtxlwgnGTrbTLkrkDQcZb25wSw/aljSilMTGeIHrE48Pf/+1P375509//+OxH+va2Nc2+HFgLazDXl7Xj9/W64/19sNeXu3l1b59O84Xe331ddo6cLxaJPVXPG9jWmLoNyC9WYYSPSe52efIXvIh15lBMsowEmH4/PCPn/v9T//158YH8DAAvnFd+3HhYdiHB6Fvvx2vP47XN8uVbIvCioUCe7CNpR+pjjf7lyArIIHrOWvpVBuxLtZs1VpP4gq4oqw4NTLj1RnZ111mLIQcEYCTWaIpM+i1eUDJyQbrW6KIe4eGfqVObo81gjRaO1c8eqWn/Dv2ehs9MyOAYeVWV57dIAsllhuhsNtsK58ys6qxVx/9rSVvpGbggr0aXo0Z5WB7BodMqNJIJbCDKAMYblAYw++YeM/NbXK1WCbFWU4l+K6joCoiu+SVzagzjhspyhsz0sMINNyQ89k2/S994KoL41bIcZZEQZR2aiTgpKtxpyrMcI1UGB2cc2k4Lca4DPpIX0dnCK4U0dy8YZg5zGzZQmacHx/Xx6/968/9/od//Gv//PdH5KQd11r+9mZm6zjt2/fjt/96vP223n5bL2/28rK+fz+W4Vhu5rZwvNg67ThXViSRIdMwwqZg6Z2Ta3DHqXpT00IH9PR/RR70vDm+az8elz8+/PPP/fHH/vnPT7uW7QXAL98XPj4f1+GP1/3t316+/b5++4f99rv9+GHH2YCB9aDAn5TRkjvAfNE+an9vgKvl4FRi+VEhUPfk5bOeX7YnK/r755um6lANvEIVgYMhCq8ZnbiyqhcNu3w8bbbhl2jmdth+PQL4/WDoZEc+JpmPlWgPCWT9N+KEtWsn1SylmNByA4a9MnsSyiwDbyyPd5sRxBPKP3nMLzjYPQcjUcEagSCvI0QQQJEuoJ46rn+Ck+FKYi2oxUyJcmNTOfWuvESayb7g25wLTdOb21fqE+JjQSqercL2ZaaHMzlRL9fp3Re387XyiVbnyoZ4wlPqwQyBtfqa9NZWgam1JNjioJdZ5sufRyG4MDx/rQna3rg+/fOnf/zhH//0z5/++Y7HA3s/YPjtH+f5YseLv7wd56u9fre//9/Ot9+Ot7+t49WOQCtsMw/8XrbsMFtYsJWLW7uCiKxJpogCzuY+7KaMNUurKFq5arhjRyiwfV9+Pbb56uD/2NuXHy/28n29/m19+25vb3h9zXJDy+nQ0gU3NUEPVygws/TXvNi9zPqr+XupTE+X+Pjyxp8qynb0a7d6Z2ExtYKp8I5WMOTMsWVbVtpHz8xtG81H1CP3wdkAsLd7PBsvtpnH890KtWJuSK/jCvYaEzunb9Di+inXPXyCddrAEkOtHYxhUHQ1bvHJqGr5LJIVSLG6Ju5woscerZrzCEZYY+ouRe+qjsrJhg/eJmQpL9GUKB/FryCgDvYic+Qik1JTtturCwgV+bdneCgX2/y1ONilomy6u+72ACZHG32ZFcsWSCi3Ht+bHENbfya75sigXUjFz5yZXtgXrg9cH7je/YrHswGHr4XX7/byZi+v9voD56u9frPvv6+3H+v1b+t4MTtsrYwpYQouzVa6j6Jz+HVKrykS34/V+XewGzdZb9RxZODLrTsdGzuXy2cc/Xg8jhf7/e9vv//b+vGP9fu/re8/1rcfWHFGBbmy41ymIH1hLfSMxBMpBpSVx4F0wwabGKz/3aD6Sycz16p+1WLDsTZLKLwjgCQiqbPS8qGlDjMszxK6oFK7UFWLcD5Ssjf2tYNlBHqt6vFcEZenGRmnDOCukzDkpMa27AJrrdzCOHNqbb9AADp4CfB0ZlRxDBk19jW6QS+hEOn+6mpJ5nKBXaPkpgsxf4unbaz6grRdqwHHZ9WdAeHxhV9KASF2UPD92MjUomn9gjNc5CBDIdPiawspgx3G3GB2aQQhEShNbGRBeuMtYqiXwx1bVR5n9cvqSA4p+zJ4jjKRAmjKOQ6BJa1SvEzROXO+4TtxfeLx7p9/+uNPf/zc+9N9Yx1rvfr56r/9N3v9vl6+r7cfOF/s5XX99l+Ol2/28m3ZAcs9OTLjUaxn1MJi1E01huw7fgE4V6QD80aWTuctbaFUKcNavpYfh6+17XA7aNpMeaw3+/bb+i//7fz7P44fv9tvfzvevuH11RQV74yiolaGQOLFLNlfjsKbSjpjDrLeLAzAun6UY64WTV7f85FbT+fFLoLZ3jyV2lHiQgpmxAfyb/VjXiGQQSbMgoCmbxln7UpNpnlENJDB1+X+2HBE4guLqRuubPbYJMPLzcnUavzGGq0n0VG9iI23fHury7LCHdNGq725yO/Q7lq0724EN2TsYKP75mT74FstJ/Er15fqWnLTod0y6EVbYyPrntLvIS+vcDPXHn4CyM1ZxHaH75xyDeIlI0sYT9PwOC6Z+LQOGAwbPkK79PDgOozir2nkBFIpTzNJT9iuDKHQNDLhHbHjm7XMnFmw+MxTsUYTcxmY5GfpVXKl1H7g+vTHBz7f8fjAfsAf29zXsV+/29uP9bf/sl6/r/P7evtuxxnhmJ2v63yJgglJYPG+EhGLKySLTA7NAa6QYRwvD2XnUvALBq+0Os9B3HIzHPJKFFsn1unrBQD2lea5DC/f1tuP4/e/H7/9bX3/sb5/Wy+vUCLMSZAzTbsMa9mypoVNkC4KucxSkQMvqgChfzIG1dQkx1L6bj1OuCkuk+gkpG/aO1syE6f5td34R0ct+ThZ0Y2Rdhc24xmvbnc3x5HJg3K/gkqmbIFAKq+2kNjeEbLtB5sJI3e01SUtm7gbuwwwz/W1FVk8vzRBTmvwIkasoADQ1v3GvXIDZcuy4XxvtvVdOegBfNL65tVgtruXQ2nkZsUyArQKQjWddw4tm0yYIu6U73LjFLsWXnnCrkZJQuWaXfdKORVN0mbiAtIIoNa0kzP0BQOIGyhaDZm6agBUERSqmqqa2/aFffl+5KORfuVWFcfhb9+O7z/W99/Xy/d1fluv3+w4cb7Y+ba0UWAGs+b5CCYL2NYGAozAs/SviarX3M7mJr1dxNtNRnmzQT/O/fLmbz/wt9+xzPzDfv6Jz499wWNd5P/xX99+/6/Hf/l/rN//fr59W9/fsE6sg9GLY+PKlG3s2bfqDFfM/sLey1PrjAF5/6C2nhtnYXkKrtxZSqfMSQHz4EXUc4Q5qKv5JjT4TixiD24d6LixgaMtNfJd4wJnQn0r4wzh4deOc2RjISZWFIbOZctsFegaM/YMgmqFbj5Vl7DZt0YODIDCxxZkewIh9fgZo+zpk6RcS0WqRqghBRR6d4utcUYF2am1j4opsW9XqdGExDtdBDLO7gAwRKa0Vbj0LVPNlsa8hncYR0kvY761+LbR62DIHTK2OKC0wkaqtJltxkSpHiIAyf9yog70RfY0Ud7haOdTGxDJ8gyxvaj7yuuUbUxOGuLIiu37wvWJ6wOPT78+fX86fJ8Hvv/t/PGP4/s/jn/897fjDevVzzesA+eJ84wFEzWpDlVPTRR++Yx4h0St6LjJNZa23qGrLU8v3ZoJNTOsA8cLXt78x2+2bPkncLq941o41nEc9vf/evz+b8dvv59v39bLi60jn+TMyV8TQyR0evigvgUUchVD5b1agKpJEThOxbYpv8ksgqAP/KfLFXDeF65laqQxVt5AHhfIRfPLVNmHnvy/yH0m5zlFgYJM+O0c7OBhLaKN0TUXJkD1eDbIQmUUFSoeSN0IAnhAKeMDMwLirjQQOL/GZNNdtzxz21H5V5abIZUzUkAz1xqAFS5VuC0BEb9koiSpvA77yQadupGXzaJb5QcEuZlDCGwPhnnTjFVq4LQMa+hPAZIzpKJW5KmBRUHVdHtOvBPCUuddyl9D7PGJc6JJHoW5bbTkDK3dh3O4QwAUJolHniP21BN3gx04XnCeePubfft9fft9vX7D8Yb1YsdrLA2DHQWJAxrlU7q8/gJHpbSGW8ELp/ybnFL94qhKh1q4cSycL/Dv9uOBlxc7be2XC7/8OvDyur69rn/7+/rt78dv/ziOheOIrVYNJi5sxEwnUvi5C1jZVx6EESkar/Ns4p15JxCIjYYJgtbQraozewx95i4TsMoCms4VcjVOmYOheoZLWTQKAO2a6rYyzcImCvuKvXK8aRK01qy3hhny6RAyh5/TJlNSTr7tXRkuNFhPxcn4MVc/7TzYOVawMg9iWQKzhLEy/+JMGwrBiqcKxEXm2y2Xt0UM5K5wJPzNEg5aHzodB62IQMGsHJR7s9AWMoXYzDClK/PwbtWyExCli/KobeYdZYYuzCwRMgYm3nBabAxLLx5cLDVy6SlbzxSQozKZ7rF8TxP2HHGOvDl9H9IM17YJgTZZZZIWJlqgl23H78JG7nS1XsyA8xXff7Pv/7Dv/7DX7zhebZ22XmKVRDCMGkoHqQfnqfASfGpWw+f4oixKlhv3nV5Aey/7lJiD6VQLX9iwtXCeZt/sPNf1aW8/sP7t+O3h+8R5rtdj/f2bvb3h5WUfMempHSmoe5YT9bXuTCwFKY2gHXbvisWlbgZq3miHa9xGCI2OcENsFcY7AFwNLhvlzXWExjFwr1PmnmLiHohEE0qSVHPtiqQ346+oboUPaIkr0OvbKiFv4ygcxJ2adKX5VXZgh+e+3JmOTuvo+9031qUiGkow84qKNYg9DOCS1haA5/2ee3/Umi1HxqjOrMHqy3CQPG687hJ1IkBneh1/4CzR1v4PRU5aQz5au+8PnRl4lmDNS9yVAggVXfB5D2xvx84DsUZJ0BqPi+EmQgZL64pxQVsIuqGkQaKuO7Y1474HOynK29c3xx2WaNiGbb5tw/Z62S/ft/3wb9/t9//78dt/f/32+/Hyw9eBmHKlDLpJdozRmuBZhNQcv3GeoyEpUUgJws+INa314BXlV98ao8epHZbpzuOwtew4bZntF3+54CeOtc7D3l7weoIrLlW2zp9GL2dVlRmSLOGBDpnfdJBo9a9Cglph/KVMMmDh5JshtUdA3/tCKaqFy2wzTXnoYjST5ffRkHWQmXgDdNV6+xooIX16McNiGBtfeiOOqpwO3qWh7vc2ZX6ZC+RqHwZ8yLCh0sMMrRp7a2LOT7x1mNc07zrs4cma8j7jsoZYIawksggNATc/xtRBRVmFbgUV8beVe28XVrh7IygZxMVRHZNU4RQA08f2mxln2bRhudUKI+lSuhUksZkFy+fQS+PqEaLgLS/UHJvz/ZYv7yBwe9VyimyTQu94Ay0wdMDNfC0/X/bLt/Xth739vl5/2Ms3W4dbO9rClHIWTs0wpYFnsdlaIMiJTaOkfWSZC4tqbPeM/bVhlazJ1UdR1Taz4yUmbgvfj7eHXzuPRlkLZ4DX8sOg+rVzMOBKgLbwuPsKALiccy53z5XoDR9mOqhIN5r0DUjSckO0ubBIauOeq2S1n0D3zYrvukLweRtIfROb00WM0qr7ZKzN+Muh2bJ6Crab4RDMZ4/uG4okYLKK1C6hCWlrHspz514PC+ExoLHJcvEyd0CqNRSeXof4pXHBeoHN+4TPUf5BMAsYH5AFcNVtSpHB9+2p5Kxo6jDusorpn/Lc9mYtI8NihTNJTi+g8Co0g3FVqkuQ5W+AFuCz2bR/0mncDMrgx1rbt65nkGGpC1arcsagxF/B9uJAmOLc+QhHJj6MoF1MGhBNrOgSb6++F0DZURmeA264zvP69mP/9t9fvv92/PbfzrcfOF+3nQO/whmWMVCFSkOMsCJaEv3zOLE2NR/0OnINySnlTpVpIUXzWGNXmACUdS5zLLN1xPMtxzqvvfc+UnkWjas7G6CORMyNhHKj+3y470qgz/PK4bVFUZVpxoz+5iEzl2/aVa5LicKUQPWHV57Y69Ay3moEXfd4fpCz+4FSHVub9ZCMgj/JLszDq+AIxDKeFUdz5/IvQProkJRopLgVm0o3UgEt73f4TqVPisIMGvR7WogRlag9ZmPhNKGt+qvrhzSS76uOPLYiPNCQYX9yZhPRfIMGa4blWfPJZ7QKv7RFsmvAJYmihFPSkXoh4saMZ1GQiaXULoUH6U+1gLLEwAZRYS/t1iU8bN1YoQe1aXi8JDVXeOx8as2YSbA4RBbbWf81McCqP2slfou1aKU/UhjGiVy32NhTWtbGa1gLLwfOH4d9P77/43j9bi9vOONMjPsCDmroynulJy5rvSGT1td4Lakrb4bmtwxwnBx9Xdr4K7swGwv0HK59wXM1/Vo4DLZj2QRvmxkbWFfiBiH1WLo1LPFSOI3T0jGWcdwG9jRRQOMCv66opTnmaodZm8ZZNFWViFI7PDZxKEW3zujEj7DUSTJZ7Lm7s7vbiucSHVxOTaS8FWK6olhjV1si0CgNQwr7A4c8QBr0esuoVjX/i/udSyeNrauFkU0C0KvavK4HzRWbeUVfTQutRcwzmrBUxZbErl+FJm3ow89prowJepqFdLYSEMc0eChL78HGJYZCpWlO7XiwOt2SWtJa8FlNsoRzGo0mjfGtg6ePsE8z5dGNUuBsQQ6IrQU/yEqCiE10SzrMbOE4YKed53r9sV7fcL6ASw7GAwmBl0r9uIBSRkZfmg40JUMLzXO8SJhN8Trc/OzQ/5/IqW4DYfLMPbzzAY+9zdxOPpfv2WWJE8PPdA2MFGRt27oB98U5eResu2Hh2uXXpvLUleoqIyuKHbf1FlIv0unIVIPpFJLElBuDCskEnJUhstZ+5xv/xeNt18PsAvPo7vC9PBZ85YP7bgu+qFyJG2JK21ejleWbwCylIKLnFQ2HDFiox9eeEfx233/6GgHFE8NiKYltyYYGo7bN4XWC1Co4aHOv7i68aYI1UUUEZPeRx1+3veHUWLQTVtMhRnDes2MZi6vAJmBZ/IqsiJS/cVsFQcPEraLPPbc/AGIZeVvzLUdifaKaEQJxfxHzea21yIA66yWawi8NuYO/8HEtHCfevuN4sddv9vZjHa/28mZavzpEbwVh27EquGVWbbc7eg7ZwNNcASEJ8n2OwBzACeYrmxQrgmkhjFzHTj+iDzRyG3enLKhCSrVp6w8NBOmELRmc0bF3Z2tQbkdGG4jDpPNwFz0qSADYjDwWsf3GsjH78zyB15Cq8WS2XrpsRd48UIJvR9qOLrYnX2OosZ2J2VoCaC5WknUpgmqFBUqj0r3Rq2t5PsqrIy2UMlgyueenkoxDG/1UIGNiQHPiVPY0qyjtNWI3LSnmNilU9hpwFthDa4wwn+2mN0pmaqKUZmoKmiK8cDdYVAJJNfUtaHQJf0hNlq9bGDGIyepJszWmbmml5WByzM/QkORoj9ic57clXtYOBEzRI0LRpa+yu8iCLWPlp84JzwKcdGD68a3REWKtVxMJNAbjgtDXH+t4Wa9vx/m2zjPW3yuxXcGSSmXkw0ikar7gyrRVwBWTm5GdaaKpEPRkHtWasLqak2l3B09oyokJFpinIVGa/DUTftpPwqha0stdwiC5QGjJ2CvTsFv6M11MOjB2mzxJzMj2nIwiLSthSrChu22Ds7+vioVosuH7VpFQFjCVtt3EgD5Xu7qV42yR+L0EoIk9bcfB4n9wSInb/KIEuQlhLYAoD1EoMBTQe2udm0Z3cXO54nwJz5p8m2fJOZJMfdwRU+4QyzI+pbzMZw9kBm83VGjlPqTZud/J7S6Mxk6p4eYXCsriqzrnsE0Y3QhCdRszIoOCvlRdfIXwq8TFDrpaRvnW6vEJAMA2S+zhk2cWKbRwtWHFrcZD+M4lyCVkzutyVsINRWEMwQCYrfNcL6/r5fVYy44jsrY9kwaoCyhVd0+apreSnQnITFENSiWbfmcrPlbnuzd+lJgBdk8Od7yus1ZX8Hz3znIgz89pDHGqwBJguvKZ4txryZmtjJCiRRXA1grYav1ZVzsUyG/CVHEgizbzrx3vXbnjXlyr76euDUpiRAUbnoU/3/k84iXndsSTQ9TsXa25wZf6do95u7Z5Y3eLj2sUN1NnHExKpiobmS78co6lsYgnHI5RWbu+7rmBuw1ZXMUo3jibNi67CdDiMcZxBlB+2wNkv2BcXKYz0NRF01c8SV1U2wwGvrwsiHly/0a9VqpQ81ykNm7PdcIskXLfHgqr0m6kXnYZ2C7530iLSpe14iydMv+s6XfO4HQYznYdoYvyWpxKZB/6mK1WIAjAcCzYieMwf7XjXOfLOg9bKzfIx3iQtpgWpmqbgQJ8cLX8GClozCxcbSAO0db2CyuR6TqNgcuP47MsoxW0INPVUBTWUtlm3vHLrNYNN8ncuWkGnjeqbzmvIJjKQ5CAvLg1SbBsw1aME7DqhipUUC26wzNmmZhORor6bgCdtQyLoAiQ7nXD3ahMBQxRa7OoRhZruKZmyTXrWRMgfBVnCowfTIJyQxyEzrigRCJ5aLIg5QGtKN9FW4KuLjZGAJVvrlCGJPbQIyOIko64zQBSGR2r5jtKMnEQxHruzZLioH72yUNFj8W0LjMyq2egW3dtmiqSB/YCUw/Sp6j6nl7E6OXIN6sORonHFfHoSiid1t00Gy9GyvgVXsFdaZzGEZEc3VQdquxCfVTomAaw8ky9Bfg6bB08sKOzpOOIg0Be0ITxMkhUQbkRZRi6WWcm/IaRZ6xl4A5NGlz2JVXetpFrH8B6gXa1gUtMTh3UWFaGMOTOUKE5kPjt1GnLhDaIbXpqWvd3N2v1WWmFaULbl+8BZlkvYA7En9okYEbA5s32vsBfMSsRmxv/Z1kcuaVaYNDOjVkAxPNVPOPezPoEJAhY8AU8EgFLH9l3pIo4Ra8lS74Rj0QPHLGeIkkd0dCUC/Ct6sDMB6RQsyXN9htF3dD0kxhaySAa3UoIi/q2m1toTBLbDrhtDDcgd5aqY2FVsPFK1Wl2MnSiS9nbT3TSygcSAwZquOM2+ha62xx6vvNx4CnRLntxui7XZj4U0R0qrWTABDT1W/k0UaRJYhp/jYTqhaLDwAVdphvQXmY4TrO9lm/A1lpnbmA4CATtycQelxmWqjUpAYAvcFegvNY5ULsVhSc3+lG4zHC6/m6nNzVH1pGE39YBHBLlaiKrBE93G6Rl6FFmEsdCOmvjUafQdspjtKP17nsPSFJMvs4crozd6m9KpyDZ+wdsj64sUNHr0LAgdbetpLoC2cIRwXmeukj1V+PR6gV3rkHNgiabkq/ZzCTu2C5ZtszaiyUXwijINituegH6og204EEKUEN7Ll2wCWRawovDOi0vlb52ZFaoQ9V2jYtvp+uqTni9S+s7jTKtNALl8KYT0HtjCkgf3QbY/xTJ7eKKd2+3pDAzCnA+TmUbLdjklonSLk5Rtw0mB1hHOG/LARzkbKVZRaQyYeKbT7KDuBRHBW79a0cuvzPH4kqYdDqUz0g2e2OSVL+5yoKPxs67NkkNoiQk+RK543VaFSkkF8iXe+UC27KkVDqnFKB5ZrIpx1ZTFhooYhLcMJVDYb6wArVEBTKU2TKfgxSwcvZGITV2FNq03z753Nie5aHxjFKzJGmE3Zs0GZ01ZECutTDdI3Va5vXUI6m3GlWatJLfk+S2n5ZTBJmCSVvoVRERSfD1ARCo3KscZJpdvnEhQbYjPgoVJDsKjyZEBezTRgVi4CyyCdIbw9E6qpfmj7KQwi+rexvU8XfJ2fp3HJPiZ1CxLQE5w4iyIONdRA2/kzlsNOcUKbtBjakFBUptvatMgKLPtI07j6gGAU/T0GjfveytTTtncCspyrUnb3O7wBaXGJx7D3LWjxyDpiZkQkswNPFOed5c0+ScVRvuuSXncBEGuKIwfgKvXLLTCLyuET1aSSCGwpAT4/in1fm1QiBeYsHAmdZ0T6jfX8NDNH8xG2lb9j3pPtBODh/KrPmQs55nf8VhodX983BozgmOb6NXVYrUsUNBfUlRnZhpc8FSYNdWib3wPWzYkdzf8TjD5rmTCQ2CCeXvbTYNbc2gINZ5sdfN2WZXfGsoVvpmYg5ZZOwrx2crs/fVut24HDrKSzqXn67TFJXVKKAH8d70DITaRDjTyg/CauePceLV9zdVCCAzMtpBXK613DbGRBqGMw0QSmIqCvBMH8f/qy7uA0mt4Bd+0N+Isi9rcwTSTsPt6ydYIXTHV7lgoCIaHqlio80WaRju4i0djpGYfU1PbRoTU0Sfy8OykTOqQ2MFBkqHBADeaiSUwxaohd/KR/lyE2QD3NyWCIxULKnvyYQsxRojkEZhw4nCuxtDtNbCiupx/Z0z8yOnqfpyuBFzUb6Ygo23DYoabqYrZfGyLCHdehzluLGjOhAQFKdgubf1O0347o5tnMtnMGCY7Xtq/+6VDTpUEz5YbORMCGKawzeHyVA9XEgepFoj6+FjdmKpuQkKmyT3PAg0Z7F07mTIkKFMJMbfN/u+yXoILVi3q8e4PNJqi+sEAuWzGAK4m3amlZA4nuqCI3PNwzKWVtBFelwEefvbap+0UoV4t4n3Sg95Fml9E+jz+eHUYdsMtysiu4Er4jkkFqCdce6wJqkHOVhS1mvcQIUkgiDnkNT/XUU9ui8XHKfHMtLc9yE0/RK6DwzufNNo5RrrW4OdaBIbJNPJxkfBmZ63yypD/pHB12H5qKOmBl1+7JytFJBlFnG3bwVhbchsiF/QJjSw8A33ybzf20i+URJ4FiKH3rEonIssjYhCbuWc41b7kngcvlWcINeSDy21mo3nz2B8X9GtuMp1ZUZSTq63Kbwii6UtYuIuYgTAncEK+RQFu2v8PpwDtYOgV7QTWqDOuOtix/TiuEEddVGRZWRFu3iGDU3jWchk67XorPbCybme32gwIdOYNSmv1IQC924Fdz1rpka9EouK8805pB1tdpDGkBvD0b16r9YVeeVWPA7i2fV5U+rCr/am21dVRUsF45o2ykSyqhfBULvV3myIo+8AFYknfZ6s6nAhSJnY37xb+Q83hFs+uxJI5l0wFja0I3Hoda7hxQt4F4/jvfENmjUU1sSXOv8xWjFb+GJFzHxN4jJVrZqQDZnQCe9FY2o8BYZRk7k+JPI8FgwxSxG6A+7moYeT+LB6y/rlhTm/yrTDlqrE5b5Nkw3TgJ8BOk8aSjRysbQRw2fXRWUqykqMS6YwLaOiqe4uzkx1tZoPJVSnBqZQneUv3rbucvzqpVQfR6mZ8xy8J9nEbJDRALg9rnc4ypAxgbjLGcnkauD2egaD21UaVvoAJ6A0hWwQYPt+ux1rrZFM0AMMnJymp5SjtrbsDM0eG7NSHYgMofzWPBmdqeua5Kz8se3a9KccYDRkwGG5rBINZieWNpHT11gUIg2YpcNnPico+vgIG4rCpkm4OGG5CXxZXToqeZlMzZYrvHeurLC8aibYGEhXZAMwz0jXPxSkM66NIyIPr7l/sSDX2GxT4qN3kYhnpvxsSxmS5oS2BlvyRnToMSYDBKFl+ypzeBxS50owMqVtMG3/hPlkr+42pn8lBqt5X9xZeBWNx1c67A5MxMvmOw8tw2BtNBpJHwUBYnRNAD13XRBWZ1RaTQimWeKyTi/SM9ff7IpzTwFWuTmvm6ca0CTYKoOaCCPb2uMkxY1P0A8b2Wr9SY/FCCFxVfmGUj4BfEYfYtyA5cbbkF8c4tX13uharA6c4/NYA3/bIGvG4xqjcxrlMVd3b4MT4jLxFdN5b11URmO8mGPIrX6tTnqpKg3LTi0T2UUmLuEm3G7ljVmTw/0cyRZeaJlYaEBb5gS4O0+qtz6bzeE2znSHcOtAS5zSpBUhWunFUyIEjQPVnqCefzlb5ljilDdr6/irjg8JkCn80jGCd5xJ72X3ziy7SairVGUzxZF3Bx5s2xcAN/MDiTiixIDIhOwKYgo3F3OoPWTLKWmMgjsEJEYX2LmohVc5kRIzgOfbyL8F67ZXGTUdvk2FC9/QLRsw7rjewBYcZaooi+5dQfTEVGsptW88kkbvUhkhdpbpS54k5FwhysSMkQ5ollwZz9BHR0GY0IHhDomDgbv7tFeZY19toxgnNScToBXeNf+Qi2oMa2mNXKlxbnVpnQFuxr1uBxkFzAJcUwh6sxVhF5QcTSK3I5ZZJ9ta8Fg65PUwe8iBKk3FHKWUewhlWTBLW0kwqGzJzfiZ2MukTH3R14XxTSY9xf/uifMSlseH03H5G9FaXxU4aP240s++4jbL2W724KOJ5rHlOzpJSa25dnYgzhQnDTFhkhDYho82OGorJYwdA3ZaVO6BDgGlMDuJ3FljcAab3PVM8UcIvx0fXxanMT0LcTK8mJyHWvWsVE/DRvvuzuNHexPdGUMYg4zCGF7mSjNa/BQQrbc5mHzPMJ1k3od2498NG+z2we1v8a485QbWjk3RkpW1GXiP05opF8Gec1L81cvWFx/6bZKNVCSD8YkejvKZEZxlxlFvtty6DIU41tJet77yguR4KztbXZMt0kXxrhps6ql+4ZCD6GSD4GTqVfLtTxFaf9aeWiUckYLCXFvz+e6nSwwsoFGW3g4DODWDhpW25/zb0eqpQAKLe3swXM6qONMmhk7HKNZF7EAEkMcLARHFIAsAieizzZIRDbS6IwWyWeyRhBbjmxY5rcAL3624Ua1HBJ4YnGMIJ9nwJahtIQB8nLsF0aAOB+h8YepVyW3ik1paVaW9t4PmXTk5dV9xB255pgalgFJIpfVGWWrmLMDUxtCSZA+US+c6P0s3u6qUk6O8c/48VJt/EU0zE88o8Sn7xVs1r+nstuKWT84PLnMyHOwwiAfk47pjHzWEQupkV0/CAGUV8t+ew2zqIomNWMUwFjZQfa3f6k3VwR5L670R3JwCASpk6MgAEM1LdTQly/RJNtd6zuY0V/V+JS+GKdaxJzfU7KeisOZevKE/BJPkiHOvXU1eCgK/dl8EQqEYUbJYNS/+sgWxR1nM8TK0LiK76Vc3ckTo04SaINPMfZc4SlUM6BoVKAYiX1y/uD/UWu7uF9dxOaxCMM5mWr0jFkOIdKMZ12i7OMAQXalz6/0DgAr50bhOq0xji4UjaEkJXiy0oy2QK32CKaJuonP+S/aFYaYHa7KiwtpdxImBrfxZHbUGOltKKZjNkEUH81cnctXX5JnDmtsn7QYtKOng0RggoTQ6OeDQQ3fAN3CBgirjuZfFmU+owot1xTL0pQiV1eJzu6M1q0Sy6GMKpJvHaCs+jFNLvJZ9IZ6uX5ojtiVZ0rqq3U0fZeUWgjPx124qstS1p9IOnbjlF3PUX04wcdZO66w0zoE2kndxJl1ym3jDcj2OeCgiKUSpRJPR7Kn6sqeG+HG4+x5zjjeOvfPExniqU4kvqa8h58l7B7RkKXP0JpfWMhg5jJj/ovKAWtHrviOhFc9bGUZRTYZGY3JXsCepKQ+SWZDBKIZjqZV2E3x52swA1Z0aP09vL//3hePh9g+W83ur2kc2xzpMoY3ah5x7ka2fRMQRA7YUndf1nfAmFUvWCFfX0lwhE9VbuGcA65/alykFfU930DWalZtKZ2vNA3U6Qfl47rGBjNSl7xVOqqMZ5hzSCZ/jRHpLS2D1Gzc7g5AAxkvroN888lJatMKnJhbkpgG+t++O+AasxU3H7iboOuGiJBwzM6lU3rDDzlY+ByjfuphrF1izdcl0MGJ4k9z2rI39ZMCV10ZpvyXeilz1qsYVeVW+QyWPSUdSb/Y0KTby/wmK+JeCcRQBpQuz9E5+QhFF0mh0w5U8V65ITbH7NDYvLlAGBTl80r3dZvDLsd228+Q+Ggq12G6D1YRqmhOJ8PHhE1yPxYLFnTv7KwVEs63g3biqs1jundrGtewRTy+ZqJakd7ONKwqPhQ23BRLPlln76IwLOjJrcLD2/YaDhpbuS1mESr6leGkdXoxqGNU7zfgiDa3MKPUBntF6VaE7h8KeuXQlSM/8F40gqWJWozyEfIDdGtZ96aKaMWt5pCEDe4fHEQSGKoKntSgzZEkYj6bm+OXhTQpmnRDGPi2S7lzQBLUF/vzca/SN2+MthTMioRxnnGBUl4dmLfXccNFbpFLNSEnaJ21gc20Km2vcgDzIvNc6XN5ez9NntPs3cj8ETRuXiQPmhlnGGa8ai3seTpK8uvconqSTjgUTV27LlF3zSeZNjmvlnKVdUdSif3k3RwhkrANRm9nyytjNuQfRLQubNoF44LyNx1rPo1hWYH/jb327W0CY39eEltc1AT3x/K6oE/Zkk23dBdnl7RpNSTZyO5BS2tiRubVZANK4V0hpT+vOMPyL7zs/4/MN37AL2LG7tLuyn9blENpVQRBwZGXUWl89iRdzgBLE7WtrIqQ5PvO+mvJ2nKZhA1c8mJaLp82QR4ZYVdj/8qVt30h877DmAFc9wtYGkdeUKBQVi7foI2sMiF9q7yy3qtu89EYNcSZB+OFCpBIIA7l7XHOnP6E0snlFWaYNWg2ieauCd0VBw2+SzOiZOGRUoASQloRSMGfIrKLGpZCRT65EXc7Jh+wqAkqrSxUuOr+xpQmJ5rNByhIcPYODwN3ks0EU4xVeco+//f6RdQAj50aVqF1tnAKxA3Ulleowwm+KF6PjGkgla7TCjJW1qi5PL+QTVtuLJaQGPootMsXhuQvuTDE7QwSOPpejDBM3jsTalfpqBg48S72inXAou6aRUhkxNHXGcpYT/WkCYcY5u2pEPWZtqCQnNVHfRE6TbZgZFywlbBIAY92J9oAqh2+18b+ocY2Chtic5Vy8Oz2TM+vjmQSJwWvhXrueywdRKNa/8tF005qz1MWpUcViL9dRqObRJtOQMBWDNDur2d4QouAnF4KJHagQu4gZ9q3RzXdfvpb0keYQtGoOWx6COGp+i0GoLHD4tqbVhbpmXDG74FK8fDosH9IN7lCDxQimmmgaBOeebhoMsYYjYSDblLqX1iqnVBEUjS37SSi2Gg04JeYbtNCnYaxgZwJXxYYAnQjkYDreNJdEUElt61YYlws56VW0nGyYi7WJs8M9nU6CflfsObl2OJdKkTHiceFGcehZ00YlxDKiYRIs8EtzHuYv5cDI1zbv/iKCEVflpsQOb2nYVC8Te0lWE3EZE2eUG9hx8t8eQ/alykejg3DcSp6S01xKM1jVDtZKe4/utzIElWFC+5PNOI1CjquhUMHJWNoqJnQ0MU9MkCKlJ7HSJDBa6QTBS7NvXTTfk3za4rA8yNcvLzrVss+vb6/ChdCq8nzIzGeqNA8ctdxKQgp6G0QrYoR2MkWObcARXGf2OG5b4MJTjhbUxElxH5p40BOQm/Wuho3RA9PUcqdVQ2LjXs96dW/hUE4ihVuMKya0tqZdf51CalZUH8YldyExTkAXVv8aTZ/Hnw6/XLs7p5QPs+kPGy3OBGVj6Zf91QhtXGmYIusauHVMdCaUc7MWwmml5+hbd989Qem71nOPBbwdvMt9nnNNrEiQHDuoqDUDrqDRsa/8CUFDFgNMEUmTaA20i5u//bm72F09S+I2+OS4q4Ch1jx1EYiEJydSNJ3DWdn4WTo5wagtRKq2NX+0W382IFVOsr5v67a5WWDXfY7LrYfBfb6Sv7rmOR22ETucaMUWPYMR95oD6kEfPk6ZNxTPs0mAMRaUMONY6rkKR/+uOiYhMqRhEyUQ8S0v0YK68rYZvdpooCfaipTeeMNHPTfSUqI1Jisy1FwquLcYzYpGDqjP+u5K2MBVXkvYaklfjDi64rzP2piSGVF7Hsg4EHbEN7eFAX0Vx22UpLrZrPVGfdCCBBjiVxaLTdKQuZi6FtB7sAGe51AUV50lDYFYt34iYQ63P7s/gGeETvEESD7v6OxGrXGXpc5smk2Kuz2mIWPvYRhvvWFPX15T76zxpL2sasJCjoZAQ5Anz9jghjtWgFWpEeCocxxSlJ1X1Ntu6qWSvGTo8RdE81Pu+NCu0uoDGwPTc39tfmEj9rCYS23qmdlghdEAjArEHR127fjC2XUOx6ph64JTrYTzoJhtbEY5PZnFHy5ErBdtbvfL4uf2ZqwWWRhnooC232csbMIZBCb4OiOWpE1PnpijnnBq9s8ZqKnRmqyiJRCNpBLCSw78aZUCykp87Xqj66rjmB8GmUy8eqW9naeQhnJkkCXiGlImWWlio8dCmXsJqfOyPqLHo1OOXXnxiPljdtCqSRm3mxgJpMrwMTsFhzM2MNlyx678mvjhziUwPWe5PHvjyWgxuivSX9wBmBtFxDk0CwnazRsF87ryK3PEcyEbP8s5WSm2UTxJbn5E+ZiEQtqTPalQ+fCeZzclj8h4cSJJpAXcVLPgjDLYcFBF1dVN3uWTpLDWtJxcCWvaReewYc2dnfmGO2jO/u45LE1ytUpT21o+vfIMWs/usLJ2uTe3bY1Qrbk7sbA03s3bpvbTZovS6ZOMaalxnSfTy5bIDBSetkqL3tQEnA25IJJuTAh7Y8b0iA4zLDjnF8nEZ5dDOqi699Y4WL9BtFxcVTrk663fmMPXdtvOicaFMbqSSICRN8XL+Lsq7A0eWkahj2rqmdW3pdf7dn1sSXnlM64Jo4t7flnXG2Xc2XU/BsaeSUneXfPTGB8DJst2OGkSa9M7R5JmLwd8+3Vhb988xMDgOq+B6Uao3yYwwgN3q9zyr3exhRplYcNSMveVT9p1vBLudILqUtZ0FXtcjlMbs57NqKKFG55QjQlF2efdKdRw6HLQQ8fwNHBk7aPNCa1FIg2MCg+fXryUZEzU0HIYLmlQVNC0s5fwlLTMoVnCVuTi4w3duuvgZABaIrSdqlhMKoFW4YVQYLA7/Pdx31esDY+YrVpd3gc/eTj0zzT/98nXzj7La9FjhUlfIU/v9is3kY439cL5SUHj6L/hceqF54FPymQDRGeyqOwZnN6zJQWMkXD9ArhHkqiWzH2ldCMhKkRvPNfqKk8NNOPSduIp73CvId9yjMM9CTNV/ugzgebTKknCX8aZ4Kb+B4W+cWUKX3tdOGv1xnF2AEhinpU1/Jr3qwhYKm7TjpQGJkp1xhih3WuKymZL8K69stoUPL4Y6XyxMRsqH353ENNRCbphYj31yaFzpRoudQvsqUCbsmqWcqvAtiEOz59OyJjniO+aMim6CQzLiDqgCnL6MPPF3Q8IZ4Z8Dlf7n2bvzIE0mr0WFOgzoWJyeQQGBKzdMKjG03mv50i+kMjo0m803d8Pq+iXKO1fBYW8KPYR78BIRz6zyM0SuVwmSXZiTTSgIVaTnI35dp4DYHVRV94QzqrjN9Xr6pN8d7pTEtIM5baog+wWy8eD3XPzyQwEtsP39p0bDRnMFtYRZ3J0htjwuMpOlACKOw70nFMXgU26YlXEJjfIqJSIkhG+dzxHva988G3Dlzltu4wWtnNGbr1vevdOzN0Nc6LFEZnZsQy+XAsxchbpsJnw6M3Kg/rA9y0S57Tr7DSpeEors42c7vKfEt7SfqJXSbbSJJGjmI2y5463LQozxcbdGTjrsJ4hbOGAFEFYn3VGNCFUzIUsAzmdfGh4pWBdUW66CK1fz4zJ2rhgxnVjyv9oRMzpj4RmgdcUQShrfrAbJNtYEMEBad1D/m6+OFvjBEk4gXTiBSuEAs+tndpKQOrpjXc6Sd16dt+YhGp2KilbfB8bQJtEXGLLsVMvthZPsEB8lRNNkuLG3cJkyzOAU1a9plN+2MKH9iyYAdAGm2LiEt+Y9GFvMgDu3ZQjigjRqOjLzODr4HgnfnltPF/6aOzUaQI585W+eMfeFuAjvHhGKqGqpQduQJynACCY6XsDV9oxDgZLOfvmxKmyvTb678JF2/N6fpuxsCX9ZvArJKOFU45WSBWAGJgUah6ug34VwfJfCvgsmkrihO4agHkFGoQsLkVrUSaD0+5VC/OMSNKyzbeiED1TzZ29/ncRj1R9X9gqHlprok1n0UqGzKp4hv7VGqhXynsrBSu9UNJXxlK4q4K/lKicKygG+ddimIuxpuOOUd0YO77YVtcTVl8cve+UTymerLGkrIsy0lc5n5rVmsr1Z1JsTGaGLPpKGomakjfM4TfV1JQwN9nzwvF9lWcwaXCFjQbkBoGilxrZeWwkio3RktC0qVqYXGgWRJo9dknr298wnR77e8NsxSwyOck11doUjTnve6iO5KUXwfq4BlmWk48hxijmRg3ZfEAYo1rsC7bd4DgSVJyzXhC41fGN+W0pF+dELOoXZc11kNu2lYgdk6vyMHBhSGXaB1jVwDhhb8NsE8lN+9qtC17LL4lfIHS1Dla/QcAFetccQcOmXQUsoVD24GZHy4DE5QosGc/vshAu2iv+p4MBwCML2gLU7Lb2FLJyb2YNPUoeg5KkcwubaPgzLuqK6CS8lY24rbtSKCXkQYGtnK41vrZrHZFgoHS8I4diY9LBZVhqhckQ2W9nPAiXGgcp28JJl+tYzsxNMwVaLlvYO0WRhhz6SkmQslL41YUJWD059PVMxJ6ggTf6LU8JGUtQbJ3nTUiJqnHcheu20CB3w44i2IrHc1YTXmN7DL4R2iK1pvzBE1IEwNGKigJY80rphjGpDhfd+ca+PEjU6XxGqApdUWTKhbbWeri9uPaotFt6Nl/e1FcetDysOIIA0d6KdZuiEuXPjShPJ3d2rgk4CRltuZGFTTBCdkNPh2bMXAjdrCXn8SN3031Jh4GRqssqv2umyuXyXEsRck03SGl6WRxspmxzhwWZmDptoRzzXwp5ColiIkBEUguW4CUIKyxpsASIkzVCGlAHh5lLCJB/8rYgRf0L+oL7VG4gXGiS1FZUTZlES8JwCT/ZSMZxkARFbyFKs3tuCtkzem3MMaJYlQR5EtciGs0rydVmTuJAPBe96kNUWw19rdylDR7xBlq1S+LAnFsQJWi6UhzflHc6H6MK0f9xf11SgnIwX8rg6UXepG8q5dQwnU0LoMs5OcsgVHfmOxJglzymwWzHdLbRFUuLSuRJjd3IHlp/cyfQd+S9paolGKZ7sIxxOBSfhmFyyZQHCA/R15mHgjWVMi5HSAraMr6+DqB2krKGu0wIdRrA1EEGCyGa3eRkIBpbUCIbpbQsGs1rYkztGsMo2wZ+6bCruGo31Cnv3UOvZcYtDciG7F/R4uW2WwSRggmMaIOuUFfpe35igLbxkgbGv8yhPzvAlr/nc0U5hayT1WXw7Jm9MdoX/pAhqmcDpkeign1bDSRv425ZcnnjTG8YR9ozOOmlil36uJjiYnaZQ5CVUzHG9kSj3O1Ye0NREDG2TCtIF4whh7Vcd/QRjzfL/CTswcDyVfJGxpW0Yo4vPSDNTbRKebo4i+EAo1kN20mwiHT2czTwMnVO0+lsD2qvjTzePa4hnw0WZ3iu1RAWcKW2vP43tldz5jqxS0LpbOtrXpmf4/QnSaeLzRQeMzrBsIyAii2sXM16d4xXnZ2VyEgYE9oPSvtr5hPHJXdfpzUfWfvQBD7YI9Pi6jxKTXVkAMYFdPF4bcut1fqJJsCaqltliUQnsVjYk8DrZsjMcFFRK4CkTDtP6+OQTdMcL95TwxSvVyiBTkqxWPnj59coDU1u8yeP7R69WMbQSaPPDgclzJLnZXl6b7+UOly5CPe0zmW9QeEyaHKbZySKXo25cEVQ5VYNcHgy3YqUORS7d1tJm8mr57Uh3GjBszSzQ/5TjxNPer05FM7dHSu4biqJriarhujc5rfMverlT6a1YFa01TdObe0ToqZfVLtYAODOBfjhxLL7hbVsLbOD7q49HOxT17xydQFfg4VesPmsnt7fjNuSoQbu3i7nkHUcgHvm1QoLrb63PBtlaMYZytqcZEsWVFKWnvVWrZAXRTo68sIgMYE7etkwaswu2QcdfJ98jJShKQiZolQz4LoYD2RP+ynVMlRzlG/5B+OoWmpC84jcyrDZVw40SUjiqL7+JGKVCtA5FeKSB/PiPborGcN0teZGblgDqSS4irbd2svAar1W5Ask7nRsBFYd7Mqlx+kpTEMfNs5+XCrCsi36tFWDN53xTviDInEarqPixPJ3w5uGpar/+s64ACsFnBUdkmbOeEGwYu3+GlrNd2umGNPHMeOlilXc7xB3y1dZqQ7kTmMH4EgIcZ/TXLnqRVCodOkX4ShVVWaUg2/WeFgiQdy6Gz8p19GobLLY8IxZxSrTeI13KlI2G/ZSMUqnNuIJmolYGYQ0bNP4Twq7aPQGDl+/yq81v1K/Bk8gjLh/PF7ZNeNnd1ylFPWgbMHYyDnerWggUI/o2gjkhcKsQqWjZZq/uWja2Yy0MNgbtWFmVPq67TsLW+450/KmQIaEYAD7c1tks8VmmLR2ayimC708XGmHILO37omXfLS95k6dWeFXajIu6Q+Pmx6ggW67lLG4Z/RSkGRmscQhTDB2EFXoY1QhS8ht/U65Bjv96ZJOER/4qknHRQOP5zgW4z7kNKcwRj+Xyd7A8+rpE/tUuvDrSfVncC3Xs5bZgRjFbitYOp+ZUGE7qcKJCy7Rx7Ql5+MrU3WHaSMTQ2xRYLsRp/Ucg2+M8jvBHHAR342UXmzEOc3hEOwMcCwdXBInATXwar/NABygU02/eo7OATq/oiu/11w58dHRgnMjkJLuEmJLMIlguSWNxzob5ElMlp/W7zwRIKkw1f/SbtJArbMKABcdppml7uYgWzBbEY7z3pwC8DEX2VL2D7nuITbQDNJqM4SInFOfSuUvz2uYJ+7DrL8t+W+YC4cK4txZ0dlFxwR6GURZuZPtBq+TNLs+EuJpPWpvGBaSN2UP4fGD7PhvwXbtPhMiDnzz6tPufwYPMxvB2LJ52jqoEKP3vIhVHOpynLjGfb/KXjzbGKzpIEwKUD6J+IGUSMN2v1mvFRDcPRwkTjf6y3hqOeluU1EvGvkQefhD+PbKEcKAFY8X5iHVKJJF/U5fXKrkncRnb1aWSrMsIYxrAXKh/mhP+xTGBGFaKcaIdqht9i7I0bwOdtbXEI8KUAiVFI4CaYz7NIkes6ziQoHfPR4qT0XsttuXXdq9ceVReov1PZF4Nmb1mA3bqzONvWA5bxYSEyWD+8b2rb6oi6f3MDAlBTHWa1C9/D/VWoT41Aqj4vLbpJD/ouo82uaTUD1jwDx88TVnkrnkvBetSI8PjrbEU/dlXkNxK80gBtDkaf2yFlfgTGsahuKDDI1ecDKUztvt9ymtqwnd0HxxsV79aQsBct44tgohQVJM3MxcdXcFzWWxwadXgFemXsZpq4AAoI247+ySPqqK1GYLxK+F2LHV5Nw6/2+k+P0NkUdjp95VsqwPQlz3toaEGp38kXIwvpFZiVU105PRTxrNcl1YfSErbXTZTeKKDLPMU7Ym7VDh8YkzLX3S/PlV+2uxLUM+kNhI6zGOAUwB92dA8nodZTKtzm6jqzV60pJB7y2iqCZWDvMaXzfraLjE9wGXUrQg03yCXud84ujk4f0kQw3hkQ9LBUotwMxz92A1qiRyfMCJMrvM4F6fmJYLQFSOlSu3t0Yv1ynnZgbNTgq/8+cCH3jOVtxzq4URntsUaP71nNwUJ4Xs8fi1+nQ3ZGGu65h8Ww1MNcRwfQcsSNWR2z3/yIefYdrBNTimqVszZdwlW2LiImcHDsd2fBCANbRDpueINKUmyNFYnnly5OlNNiqj7M9uHgiYAkZ3JNNJdMiwcaukVEWM7k0Kc5uWON8Rl6SntwoDf5XS4mwPYnHblkTazMFlhshLNWWDCZudc6TKhdiYk07T+BpkWEsyxT1cFZa8czNWTJGD9HIL3QmhguS8eTcuD1h1zUvqy453tww1ddBQh5ulhFhD7pdaLqRU1F85NnXZdadHydAaN4ZP85UakHXcSH/E47uoHK/x35OTLOLLl1DXbhgu2m+vlv1hkabQo66ghrZRNECP/owqgTBGBmPa3zlNxtNa6S4zGhbtaM0b6zIyjpzhdRmb9XCWP7ULOZ+lM6bCuX6kryZqxobOyzDW7g1u7HPhQFMzA7a7ubXzt/VPrgm2eLBUA0q08ZqSMGvkjEnj7b0wxesTJ3zzss6oZkbDaAKAYqLv2zptGMlztmbkGLTrKSdDqh/1owPkA7zenqWISEQ30D/zHLNQAiMe6XaHW54/1fSi4E1G7RRXg9GNtjxhjQE23Q9qmpbr85pe0PRoayNTBW4LXbfC41Dv4F/hWzNoWgBR2NnHArTgZidCWb8bmsvfoqvIZDf8AnznlTSDOSUtOYsV/FxKmw05t40nsueFPca4gVPhBoC5LPhpctt4pEtqaCpzBwJJ0OK5GsksfmK7JzyEClQhUViTQJnFUR2J2A7/u4cMYM0KaclPWcU8/sIBW2vE794u6/6IY2gztkJwa/6oiNFuXNW1xNeLTh361K17nPapFprZmkXJ0siL+MKrkVDeALhgRyaZ3OeVPPPeNJ4vwpCiOEoplOS0GLHQigT2tr00oO5gijYYO1xpaLMVTnbl65Mm9nnWFcwzu/RbQNUeidUnMLfd5NyspcGXtU8afql9Bww7iDZfWptYDrhF9yvZsdZgS+ejznR+4i2U1IVAtt1p5Fd8ZTokAnDEaUawjb3zECCH9jz01Z6/CSWzjsN/9QoIlQpFC1o014Zh4PIrz/rAJh9t0+zjiMBdt7QJ7FeMkmloKQx9mZHTRSawx6KH5hglYbu1nB0eFFWbydTsFj0ZCKE8HAzfC/Q8VdQrj7B8jMpp5gTC6jpS4zWJSbWiN/AcexDRqjq20bL+8Olqk5Q9eYsuuP/dq4tH6f+WTGLOISojR66dlS1Zo7zDZmpTwljN7jYfziPSoS1SK4J6issxvv/fjEVhY5zmdTkONPi/KYGxNFOd0YNRSRq45trBibVnpchNaQWh4FjOpgQX/77Vf8iOfE8ecG0vVTYruD7a1iA4PwBXBAFVWV7pDtR8y08PE9JdEEkzVurhTn1R09tC282TadxhV+497s6A4sj4ILsy2NJiT+YDy/0SJG7uDs5celsoZIVi2vqqLfNg2VEf6BkX9t2YrrDNZa1daOymiG0IqGuaV6wvSi+9RtamD9EmxUiNtEGBS1UbU1KBBUI5MXemlYQ/Nvt6lj+acsx+OtS1bBNnBG0AqofcXs3Qc1KU1JCNLT1w612cah2FZD0WnTlQqmVmtpYvJQfE6lIsGKFfnQ8H4XymCkzmBp9S9SbDXBqQGjbVwQpiGyfSIqOjDixpCFR1FegxmPPsBqhYNQSlfiS3s7muRolasaJenqG3nw3KzXZCIrfmkMo1ZsKJgWJTfkb+rZztFx6k+o+8ZCuZ9rF7vQU1ic+1UW+nw4qE6N7lCg24YosSYMdWoRfwgD/4/TI7AYsgDWa2TqwjRZV+7pYEtCkSDjbdhrcdqYrU5o2C3RGo7Dpfvfh/mAKxwe4advEl9MNFlvYraFYAZQZARBdEGEoWntvsUabMZ6nRNQcNxJyzHQ3dfJFysor2DLBIWoysTMS83sWpmX3js3n657Fmy837BqwhVJ8La7zqJ/JEtQ6Z0NwZW061KO8c740NuqPHvT001TRvMzPYioX1QnUdaZkSMoM37yg3iMwAeSpwfr/dedAX3Jfd4okerbShZpMzf6MOWePy7fuiER29gRIxWRghZa1JmcurRs/52uo4Pc1p8Nu10YE7likw4CzT6sjEjTY7NsCwK2ljg4C0+BJbGqOlzzCrk+tWonU4V5GfzrAGJOkrt9Fd6E0eAPRkZdzsizn4BAR3fD6w3SNJF/pwPWKkfB74Ab987ziqKDEHwLX3cdg67O37Ol4cC+fGXlkGkTNzel0yQOyiT/YmPb2JgopUMyBMGxZrjItejc1Z44UnGozlVpJKeeun5K8Tv7QBdKm2Bft5ZSU97hAKGXIYxs7E1oi/lPs2eaum1OU/TXdkazWpTQsa6kxA4tbMNQu7uHNDNhWLo5hijYFbLJOzPvVNWalQEkjrWjonnKzoKM2nnlO5O1mU6W7fD4/1XHkerdmxcF9IE/TdlAeVY4qnXhe/cO7j4HTPgYGZXGtHWw0El+SczTTZBhkqzMYWsRf37Axydu4b6tINlphk0UnO4hlct5UjxXL94ZYZFJjHCUZsXpE+o6ZWpLIATOZhE9sl1+Ze7ikYyx3jqMEUAS9zYMUipJRX2lFCjmaRZHgNhNcPnC+kVBBduuz8JiS6GTREgL0vXBt783zQjf2Z0VlCx4V9xYnNnMlt9+2PvY/TztPO02yFtedUIJ6mk/AkXKpHw2gv9UrrzWF23Mm114amKBxkY0WpX/HEebJJycdKh2qae0uTe2UMvH1otOsRFIOWWCPbXTtQlJfVWru1qC9J0u3A/Em70OD+q6ljopoYS7Vt6XYBjeleChwK3iany4FaVbQZfqkzmtDEHtQeeRi/XSQ4sHN/9jRJzR9b13A8J2Nq5b3Rh1klbcoPZpfuWtfTrGswd8hoPuftUP22WXMTRbJvRCJWYWFPykOxt+cN5qPJATL0mADsjKelCox0qRlXChxpHtLMclSo3BWdDejJiq+VokHjh0pFyUIzM2YtxWg2NAhsL4H7V9803qOxHY59+ZU7TsAAXLYvPD5w7X1t+AW/HBeuj0CPPBvLI50fVYENv/zz13V97o9fny/f7fy2ztdXrHW8rKw1ll7LOagqJ7AOEpTlkpdM2h08v8RT63qqTqM1WzdTMX1Dl5iorhCA1sHQCLdmG+/aGjIlhhYWjyVvUoUpLcfhN8f3lahuuBpDTfu05Eobl5g57Ld/1V+66y+0JzWoFFtsd+B2EpLfbu8qXlWIe5kUwyDYHe9vT7cjnLmtI06hSQ9hMwbMdi4wLtJHbgxrbMF82aQjDu2uVEBUN/adM228jSH+NCr6gBpQ4x4YOzfXFwPhkRY+W8luVzUgrO5cZtuKClDrwrpmFxmphsVk2lpoEBW1Bs/cxz37V0R1FtBmV22kwCG6+QY3+WVsmxmn2Sx7oX/wpx4KYjOW3n49cD3q4Thc8I39wN6G7dfn9sv9wn4AMF/hy+BXHmAFg2/3y/3h/vD98Gvb8n4Waq1yBNrjGytOGmUUszIY8gu+4Ytrp72hmFLwgi/HYCW1PDywZ4uNDzIYM20W6Fy5qkeRskhAafegZNFPqyBnhrUIVY5YyVTMd4FzQohrRA1gO7Z08WmYme1OZ2AR2dapLi2qbXMzpn/MOKoJxtKXBvTERAOfeLVxV8kEIqi7qK50uWakGQAp2MO11/fEYwdgy+yIfLctreqSeXoSyrLTgPHawBiVrfNqunBeozP60htEFhJbdyODfoYdGSHmeV/bJ8MxHDKrL51wztM6bsHbsjQacpwozYwtKTwBg7WkJYaFOIfpg4Zw380Dc8icGKsI0dsZb/LM7MavQDHneq3t2DYS1gSSpl1yT+XWDF6Y4Shmqdi4N64Lj08dBGeZGt/Ess/tF/yyveEGWzxaffO4EMvrE+k064iBaCZiybCdj6/KuMhArkTJaGWzPGQYrrs5zmJW8xPy1T7YgRY7sR3j8kjWWSqEUC+8EZotJtqWZca2eZm1NPk5lM/wVJxBDxu9FWXbJcm4as5INnVFdth+N7yXarBxzb8G2LgUWc3wqZ5G0X1yO+YT06gJiK3IiGyOPZVj8H5/NZdwsFKteQbXnYlUA5/jVTSSczU5O/2rJH2kP3OEQnsMum3w2MX7BoRLD28symjivuzUsqebGEhK+u6+ZQ4wWJ0MFBpQrHb2pvrd/Y2iyNa+VQxsY3D0h/nxyEdlFzueOqGBl1k68xQe27RdDot1JTVrvo1sOBB96MV1QJmrKEPY9eHXu1+f2L4wE2zx4MZ6OT3OK4zq77Hw2O5t3yjCs53HWv79+/H6w87vdr7Z8WLryGMEZX5VYqgdR5WlTpt1pQxbOjtVH6MUUQMEiv7iQ+q/0H9YCtsDE4L3R0/sdofNlgXEsLFwVqwHsN36bQ0FCMsjSWDd/gyXWaxGbulwkAspcObRTPn+Rkn69NtzZ1RQ68PrV7aZKScEStiGn79rm6D7xrDaOGjwxHj7NGJemZmbfsyftX+9McCxW5/paoy5sPHqGAYYz1UqtVm6zorPdhvSV68uYaYPDmvPVsFRm4RDKFKMEYMNquVyHkCA5TC4WKEQNN6d2wk6dMnlvzCkrQ9IuRWyj1uUPi5VrcIpMge0lrvHs2Razl6+I/c4qSnkl2y0m2Tj3sgHxiOyZS5htg/4FfNEFdSZyXbYSoVeh22HbcfOAyly05VQK+dEbGEdZgfsDS/f7fxm54udB46Vh4C1uRh4J1jfBwXiTuvJWzhlkvxcO3R4VWq9pUjE/vJdJuAWf6y1QDvaXcZKeCY6mPo0+soiKuylhXnqKoHbCQTPPrEBSVmpI+a/y+BYdjv/VbFeb8NE82izQZu8gXagG/jVENuLffKtGUIxdzKw3O+jsvJAAyb5ZV1MQeQnct2JW7X/ShNui6BygmPWpkZaR5dY4Wpbk4Lc3ETx19NLxupNLpathPeyfpm4BPXtvjQX6f7Aey9kuSKrBIpdipmFwxo/Y+TCVk7G/HS4u63u2G/jajIoMVe6gcO736e4p+Lq0KlFM12WK1LMusHUT4tbdz4PLdfk4u190SdJ1FG/4C7Pjr19f/r+9Ovd9wZiYYxoszw+oVzBBSCePcznrHLbmLhhAcB6MVt2/oaX7zjf7PUN5wtezpwOHKVuTRGJV0GzgMYUnAlChgDIUgJp87cGmO92tiCAmOkWglEb4uR5MKxz1aOaF0nKiIw6fYPxTjTnbaUH3PKwvtjGTNqQ4f6sVLE0OhDNSKf58p57aYV3OqTAR2uf59yajaYz45BGNYEaJseW+9XuYW3Sqwb/9xcv9cIvAlDDiNvUcx4QDYgON1PswYGV9OZaIZ7XYsU7651Ov2FyK7HKwdJgrA1A1zOlUy/TRc4Rzq+5mAAGO80c6frLN7qhbaGS3egtDd/b6gj4go9e4gYdBkjPkycYeTUacOe9N7Fi/pFq0bRjCtqR+NVZYp7HvGSaZmNvX5yZUOOp6CaTFjO/1KXUH/qcVgWkQnvUGR/wC1EjKCp35c70YT6Iti+7HPB1LIuFrNvBs1q34zTYC17+YS9v9vJiL684jljdWhQPusscLQQyL3xW8ITZUQux2PiNTlvKkj83YJvLgEZrXmnje5jQXlZrJJmVf3JvhKD2KV1x+/DpHkxlaIknXpBoZDwMCXfJVKNf+tz2oRcH75Ss1PBIQRZsU2NSbGY3LpkaruhPDvR21e1l/xnLa+jsdiLpxS68fZN4Un6sg2pfUlQN87CFGiLd3Zx3y3IKK8pkKpXeKxfJ+FhFvOJYj+a8/nevnnprtlkNCxXaVwAQq/M1UmQBw7obDPb2cefHPiYJTOXDGnKBylEYH490u1kcLJalYFPjZmJ/pDN70Ov8oBKc3t6Elw56VX/UP+VBw915BkQ1Nb/DCQ6DHzDksnu8MIvv5vDlsGX2gpc3O1/tOM2O9mS1FwioBFL9BCVx1gkHqbRvMdV1abFZEYgVy6Z9RDYR3vkkmm7exsdfoK5LXmnY+t0VbOTlrQzKiwFVTVVmoThhDC8oKldBD8CobTQ9K0Z99TL22/nRqFTqVnLndxaLK5kYscaKjJtnt8x59ACGE54SWnPhd5K7dy9oMi6BzSZa+UOUsj2z3mxbQVCs89sTfupMGSS439rpxHobC2egsVO30a6iQ0vosK61DhvWP/WNwws6W7cMxkDc7mIKUYja85m1LQScxnN/eRcAup+x0tj8ts8lk/fbLNcrDP4ht/833CLduuILBXbvdYXbY7c1jNiY/OAJtDqo54IbYjcoMsrN/O0HDOs4bJ2wA35G2FjxLg6sw84fOA5bBzcFsMyjDFrjzRabHA5clARvhE38ojlmtZHwo0ULurVu2mDi0ZcN5woWgWmdZtxSm+0IvCr7rAmr9K6lZSfq351N9x6A55awtmpTAIK2Yef032+SbhBpfpe7rFyKh5iCeDHnCyVuBqIbGfJXSw2wg9mZErllPASYkoj7HIJBXvn+sptttp/VQQb+ndm9yPLcpF6xGqZkAdQzVT7v6XwvMy4lnN23S7mfs7vDY9LCh0foKkrJKaKOk9Z0bBDFRShbqx44Be6vc7CtYJUOJu+8PXdWylwaTcvoygTD06H1eWadToKLUbDU1FgoStV+43iFTr0/g8cWPjkGkmuOBT9gG36YHViec1iLPdTNLbY9MJi5H74WcOJlrbXsODK8stOu7dvhlzDAbeE4sHLBV/IgM4E+IsbmSrnJUIc4ff6FMJsN0P/mL0el/g399lhit6QmYZE7bipqbWAA0tMagfIZMxptzOJV4rWa2YTfzWtCnXPOMtHI6U4cgNYFF1YYStQ9NL8ZwyByglQyj8YQ8s+iJw8gynzOdH9Vm8oWVViBwvrohvEjV8M1c0sPlAOXmyAflGCvpADGJNt71Sy/pp8vQK0Al/k4wQepeVpaEPm3L1SO55/d1EO6DH2b3Mwm4tm7qFMxz6vaVHXEneybcCZwI0v5vrxf0h8ODc07c62Ftaihi0Yf6q5efjSurfOKstDUpW5UbcgasqDLSMPxm7aNzJ8YKPX2QZbn84sNgAmLtnJWaAc3Vq6AJV1Lbn1lHifdny9rLTtWgsE6YW7XjmeM4hYz82NlKWC4Mad+KspJViV7K+BHOoK5TjLHbw0jSnKlD8xGGPlQnI5lO2mYoUzL+LBgb81LRPywT4A73CpPWvIeBXiVydMLyyAb/RMjMsTY8PkVZ5OJCp3CVupIFP8C9/2GzJ2BsYqFT+cHh4qLk9YJ4oPIIe/ea019Ii2VTbtkhqn+rVs5t0GHg1W66efLDZY8GivUh9EJ3F0Sw89hita+FkksnqV1AaiVtUI0Jlt5AQAW0aOkfHM1RESuLpqD4JEXN+bkzTlFPXt7DSGe8wnVjobcjrP1eFC9cXj40C8V2HNnWN+oedFsIee8opxqXV2Mli1QFbtJywQGC+tgDdfgC8cZipycsiM2M3E7gAUceDmNOTvLFqLlqxDKjMtWrQ8t328ZX9OMkhannPFJ5OEToSYzxyibzWYUXkosP6wnxyrdWi7eR2sVbRcb9U5vWn6zN3JTMvCB8C62eB28a7GhdIOcRLra4yYnFF7No6yTd6dIhI2FI039NHyHe8aouZgq4u87w6cbngwDBKaRJK+zl8lS5jeikWMVMdXCxI7CpzmwNe8aDrM14GkEaU8G+sp5k9M3wsZOf4SeLwRvLSURk4ztdXbXaKPBvKmjZ0Y2smkEvNCIeSSCQapxO4zqItP5rdhJn+y6dgYBpM/35LNiRSCcdaVYBr2tyIV5BXkqm6u6GNqFzef7/UZo8VKbRyKzxp54sw5OuA7L2kVMmpY2ljM+rZZPHhpxMzGrk2zWHXjPYd98s7ly7F6L5yoqS9zt5STkNhV3O7UqRY0ks5xAQr01lskae0rep+yBSBqYlQ9LhbLhQhn7KUtAN99mP9T/Yhzb9GCGciWA9g0ZYxRVLmy2+/EB1r0v+YhmEJ0/TSjcHSV3rtTJeMwrg8v1ZHZKAXq5l2R29wxaapK20xYUGgtgXwQIZpR/u90bc0lGQHr7S/bs+v7ehYuBJfsw0UWuVkrGqS2RojclQ1jaqKsl8FQdDmUYrmwjSNCCrjL0AW8cAo/HbrhrvB3NYZ/yGfnhLmdQSfRwhjnbz/+wLU+gM1grI4KxCRmiBSVEOcddWwEpSA1kN6VmhNMLXgN7jfiZerNFQ3KAMnBw9nxEvsZyQ1pzRPERtlY8qlYHQxUhwYQuEgKZLt2OooziXo1BTrhFaztF4ozCxjdlgkafZOVr/X5VAXc/jdXKvXa/XOv2mmbcIBim0+GatIiFZTe3pyjoWKww1aEVaz2jmZwt1oIq2dAn26n9fUooTs5OvwpVPsaIYpCL4vM4QtvT85PUMaJC9KG6M8Kz0bcoiyHJ12l8hbJIpxDIcZMoWTsI89Z2tUml03T+1lxeaYXVNA8pQQ3A6GuS8z12YMr39iyuNY1oZtJ8ZvY+LCC0U6VTDqokpqCyaRerhXY2FCf4ki1JwirReMx2YiOaB8DzGd3cVoY/Xzx2UlLq7qOs6ag/Kzf0/BJ+TVPV07Nx3ECuxCi7ajAYUlwcXjqRcNtWuznV2vq+KfPEXRb1mg6xEurUcymqDbLvih5/51MutdBHfg4FCIUG1FEJbRA3qPKkzVG7XowLnkn6iv2dnV/6oCf7jfbX01WFN0nCklCqAxtUiYPMA+anHQW8U9i5/cXAjGeqWitC9m1wepNq0JTdcw6wL0hk6xbK1iiwovyGEZ1fz2TW5xGSXFT1w7+4qzPhi7+ypMPdRTI30j3Y18REQxHbqBIT2ZeF2iVQw8k90vnYlnEqXeDUx6i+g7fWu27ew802YhPwKAcaQ+eTeNHkb4aYNSjeyI3kY0tZxwXu4gBfuRLK4IvgHhznCDqZ5VFKBKxVdAT3m7Mjx+8MYFcZ9Hs6sWGgmg60WpCRCINrRrzNIuvFf5VRGZpWrdV6mqckCsbChxp93MCZvwJdKn8uSR5Tk4ZfqnnimUH5Y/Y3AIdlUtfsWLFPG0L/2cbcJixJCvt9TiXXfdlYbmvkynOH4xWT6lL0pvohiaBQGk2NEQ1YPLxqp6bOvugRp5ggEYSaQ1MnFbYCpyS87Kwt8WuQkvrIpCu5FekM9y6jhmmpjqM1nfCr/EPnVIf3aXOtJFDDowekoM2BfErpa1TtFdEWoxkoQRMsdwY1Ei3CGiWZGpNvsEl9ALzKQwaLfJVb7ZlHgck8TwlDTfUcS37o8O2xC3OAlz9wfWZBGgdsYW2sIyDeTbsMjwlTJ7de4aMquPz6quIehoNVyoa4kpy2Bi68oRt9s1MrSC2EsCbNQUlTjpo7Ysgb4HzTW1vDvYBJ+IrmguY214ihKdi3GtIzi26Aowu8rFBr4FqxYNxkBQrMTz/xqmbHz0AnHfXxQaM2j1/hCVDOrKLiS/6sJB6bEXgYJfqFbJq7uhG5O1XGRF7Xp2Z+6LqGUi8phJJf+34pEa4ylTaHRw/r4Uya3fkTNA3Gjl2yd9/era6BQLBVs/mBAe5NZXM2ieUsoA55tfa9pOracwX0FWuw4O7MZlhljVCvpnezw95IL4rVSLl8idedJcZd1slaapaHfbt/+H7ENjV+fWI/8P4JB7D8OO1YOE7gBeex18mVCYtDsSYp8rSIqlGnoxqcE0kzDquYvLxDpbvS61A1qZQV/I3ee8gTkYHgT/nmdIQtG2ullfCK9IyKY8jnlnpZ1RrutXgiVjqY2NUqcIy8lm6s+jMZ3eC2whrj4hw4USNsayUi8r5gWEvAlv7Pl5Ewos3EKgfcpxfySW9euzSHLOIZj4YIU2dui8bRk4Tc9psuS7zK5/tlqI5cvtsAn3bN/HlXjhncaRl6jVTWqkdxuVdyy3R17mbYXhQx0EOFwJYolurVmNE4TKVMafl0oo1NwRJv9MhDXyQ3KyimCVwWxzvHvf1hkzZ4VXdyKO7IdYg+8rAOV2YR8qYUyObj6gdt1QFWe3pkYE06Tj/g3HiaedO4udJvqfh7wy9C2Kc/PnE98PEBB3z5y4W94BtHiMcQhY6F2FZq+vOuy5O4zrQBX7RmBqplYMNfcYhklge2dEh8qnp1wlRlrkSipwBcuIiaBJKfLX4XoC7GU6FGuwZ7mzn198SP0oz8z24cmiw1keCkonK/T57C6mcHPk9MGkWVG3NVnbp9bSr8PJtTIUHdpxF0cNKIAsQ0go6IgaAGjIlN3ca3NgbOm8mnMlOK2UT7WOEwGySXbfJffrRmjtKH1pB8BNHJXZv0yXskTW0zBiuX0kjmQbn5ZX1bajDRdpgY+2s1EOfy47tQOpo2sddUTzu7iTDQHRBlKvHuLR9RLM7IQDGKa0j36nYfYP1/2otZnNyDA8pWtl62+778euD69P3A5wc+P/D4wM+f6Qsfp58HXk7z736+2fHwdWAddrxgHThfWjD9Fy9vQBej9P2fXN4Y8FQeGlEAmqEIXmYDus2RW1OEjtJRaaZaeoE5zaLhU6hhznmcidYagJkfiSK03tVim1bIzxFP+sBCZ9qOY0NxAWCR7KTK+0gbig1To9LRoiWRWrhq3AJFpTAmPhsGmxSXQKq6IiWzeI6Lwh8yOA0Ad8JkxTnQgQ79U8eQKyPf+2C+zKsqydha1ZRWNGV4LCl48xx3HW8txZKxNdCF3X59x/0D6djTNRN1mid51g3vTWQoh8txcWmk5fqB4z+zVzaesKXGW7PNjRCILCu+klHplXNaWyBZP6myRZEX5xx2riM9m2dgzOABQNRMt7v7tf2xsbc/LuSuzR/YEYA+sBf8Bb7wcBwX1onjxIvbcXocHmWWz2t5yVzc54d8pAHIyZeg37qLDPfliCC/ZS6HVbY5o3SwQvUmCAMfu/CjMVasHlmT2gyFvyVGKosRso1RNWiykhkwGJCCnLGFF9TYELjo1sUthxWQ5TrQvlxDtL3YqHolgMglWPconGdqsKmIrX2yuxE0GEgua8AeyoY2LPc89Zlhh1NRfXfONZzwYj/QncjYc8gRWfBckOX59JKZ4UArirrGSjYImfW+yunEQdNWTsxhdppS9uVCPNcdpIbrZw3nNqJohg7pVvDItupp096i7Kqk1LoFXZbQF8lwd3oYB3Uft8pUrRB0PYPp9BjhMJz4qOcLQ7HYZ9mgsZs2xUrepareIGzXFXHfafIkG1jcSV26GPaxcW1cjmsjIGx/+vURc1HHwlrwjb2wNo4Lx4sdlzvwAns5w3SakICKOJGAKW9eAG31d2muCLPJhaEOhdPia7su+q88pwt0Gm89TpsrHyzh6LN2tMBUXGbgDchJOn3S3bX1HTo0DA2MMVOfSJT0ilRqY9WWYjfWp/6KLisZeLXU2Veq3qhTGlqqSDFyKioxJSG8zdrCua1BEzbHlizmJYvKN7G10gMjG7z1qFm9K7O9ZSeeW1a5xVoC0dB8AEVZ3pSyUOw58gfNJXIe1NN6Ze1Ns2h81X/q6bMk+p0UggPw8I6rO+6GYnJCXiic31TCrdNTifTnRxRKu+/+n4PoKNZoNgDbcAzcvLXcoB8ShOChIQaNTchOZTt9d1wrvHAwE3zZvrAjF3YhfvquKs/2XKm/4euBddpx+nqx/fD9ipdlZxwQyyfK25nuA5fu9o35VIU3XxD/jsFkcWm8bnZsszNrb9p1LsVbzoecVuck17xuAhXlzAatKdbTK4dugzQ5SgGajaso20lzKzh4s2XDbkUFNThH+cSyrob2xElrl2edx918AfmogfNOPrCtDN2t39xuSUYDuqte7EAJ2nsLVoZZFBapI8z+YqVLfpHTpn5NJweZrKKutj47PxxfMYrNzdLG8M3juqQIKoZ8rTo1E6FbwGQX5I5oxRKo1BKpyN4jlWXGhbKNoifbeRq7NJWXm/dVgJwzcr1luxmAI1f2GNHpuRNFsDebBXqLZ64l3+gJR1ckv7lZYByxs01p77WwN7ty5GIxTgrd8TBb5vvB9VarHxrjnkk/+qp0EUnxTVmsC0ZD8QbFLvJ9KlX5Tv5fXpFaaE/sQ3nHkUtPGOidakQilBpT8zGLMXU8eZKXk/Q6wHygHNXmhvfe/2Vn5SS6u80P3AtdqHctBMhddL2UQeR1f9y7VUccsGnuU453lxVX6Q4GRWCGwljr3SR+NDIkvSLwpuWunzQBgwIGxk+UsDceFafyKc1eKqnmzExVtmbQiXccetOr8g1eoUjpBj/wDFcVSGnlbFw695TITRvyltopVay3kXxL54oWCxDyjUZZ9pFr5aMdZUJmzu8WrMtMRW4OOWZbBd/qsRZyl0XoMmmmDR5IJBZXn3lo0thhi8mUttPpfhgesEcsYHZbuTep56zA4bAH4NgP98v8Sj/0eMPKurKvtWJViVPSRj+gnQrIdLG084i4Iqjta+ZolqFHo+LvEr84ocI0HPE0tuwzeRg2lZ+ytKlIoYf99CQuk0ArCAjWmiZ2Eaia38aZwhUT9H+3NaqsD/ElfnVYFkjwBDkqAo8dVHHfef3EWOad5J/c3eMok80jTdBv74mqHVGsVhIgn8LMpBi9Qh3knqi2Giz3nNFgBdObNi/x/lypwypx4auZRw2w1apL7tqxangsophEhqY7ACJD5LURcHfMDcAkh5zh1he5rDLMRFpTSV2pVhfPUN+mUF2Sxnq1tDGtV6f/xThNW+EMX9F8ahanKp3Ad3lGuDhSp3RltlcMK/+cCxnKiMPNtoPiGeEn043LgBzuZzsaUzfE/DEPr74efn26f8IfnD8abGG9ZGhWj9VoMJe7+zY7ln9+Wpzlcx4G24vZP25yEUcZxpq7JtxEg0rwV9DWQ3TnXwIUs5JGdwhDoNP9udB+3HN/OZhX8VwlQT3m6Z5lRJOjMdDR2LPz6TS3WkFMaSpq0vKHup5cifasVRVr0Bu1WrGw3lsZ9HmwnaK8NvCrUmDt7G8Wm8aGDdXEbsPlT1dxx2GeDy32fh3AovdeyZKwdtW95sv6j8lzscRYK5rp04TnERgwHUm+yaLnQG57bFJpU9lcSPHEbNNWD+oibqpaZ7nrLtW7hulzNWe9OTbvVhtLdjJUHKgUYcYZOt4J07WFI5NCRgowHZLKvgX9IxEuWgdt5MSWQresQMOvpXsD3k+o4kO7zpTnxt6+L+yd68IGWhn9ZpNAVaUiorpwXfa4/NhuG4crcUPDYTR2Q5ckVZam4DlCp1EvY5BSmV7KtmOETbYxyRy6YCZX91TVZbQ1J1JCjO6Jpeo5glKySlZb/y37u3XevBNHaD3fnWjSfKM2+ubkRsBig+Qce9MeqlYP0xsLW5Y3Gc3UuwylmTgD/pVfi8LocUpZwJXfEwFtdNinpBLjLKUppu3WRRWqj+J/zdIaP9LtuvjnfBxoIlXXySmnftE9Wx7oTp2YqOuQxVjKohWVOlBR3VmwJT/viHj/3FQbUbvPxZ9ymSJMIFw4dAOh5v0duTSgNWMAs6MuwkVHTEzb+i8RF8FYRYh6FwNv5V3Reka8O5Zh7Tza+rrwePj1wP4EHhGFcYugOCuLGZxUJU6UM4l2+fXA+8Nw+T7sQJwtBkduKRUnBMHssGzNTCcS22T60KbSTIqhuFumk3paRb+eGixmWiQg7sWSNNdAXMmm4sJ1v7ypMLzrulRF+5rE5V40DY2/hRbWIKp3VHcRlt0i/swGiHN5b7PaL9q4D8X7W9ecgZrv0b6WaFjm8zk5dNqn3xsGv4c2FBYlchuA66DkYj1ZycuKV1Yf1vUccpshVTbcMQ55qysE90ZOMoGQ6Tx1VIcklEf4mp/x3VOW3gpdvIPPcythzAarjct5wdLDWA35avidTgCxyZeTP2occQJhyzpvlo7EsWk9qBlSOkUdPY6JJ0p3lBUvwBCHxE6nCe/9NFPtVbPBF8dJeTUpuMUM8boSxfbD94dfcdL11ZKGM9ah66RmuWHb3kaurdzUBNsNO5+UM3cfW54+Tw6KXjT9BzjBYqWYkkFPtKIVngZMiXc586Jvz9lhtLi7O0IOqqWjv3i19DQ54gkhLNytFV9yxyx6Z4EtuTn8angzoPJcARlJIvUxHVzJNPSro1iPd9STJqtWywcKNJ8Ns1JpIAFexyPLkjSFbLEA03vaMazqIPkguMVVHg4kiTH3OfMVYA3AHZY5lzQYmJYNLeklrOJFJixintyMLOok1oYjzveORQqkgGZjrbbV/11Ry4iermw2WuUCZdk7Te5S/6FOSaxzV/YisJQ5KIVjJuaVWG4+VNaQYRp3sLA4d2oVJynpxOmcS9mmU2yZxjmPYW+NOmieTC8FsxPyAhL0BrYzEYbrgf3AjnBssxyrGnpPovf2M1vLLcorVWOhqTuOwc0BCswn/BTfmiicvzjGbl5WqNpk5Bqb2DHepgbOI4zhqXlpKWbKHd19wcx/z/q0VymGhXAVTdNeiWI34kqNuIKI8DTqVEhmG8qtT8vUp7qDMxLadB+3e+OJ2hCYymrMcxWsr4qfZOKuW8IjdFzpiJEATSQ21nqAzkQKEUK4LoS5fujGSTK3d0mE5jSaWkhlsaZHLQJuCQXr/XdM6kLJy3LjQK+haES1NKw3hTEXbf6S3c9pmdu8t+BpAjOEJlI4kcJb+7iSLSglrQvoDdcqNMyoKr++byRezdbn3r5tbw1iTR+V9GEO79S74qPndmDXhz8+/P2n73d//AlB2DKsheMlm9p7yCDl6zClAj07TL2Ic3eVyg2D6i4OWt7YiCJDe0eNS3T8feUUrxnkffnyHHXeYpnSyakft2l1QAvfS/e8eQo8zfDZpN7Vl94s/unCQhv5FXU174krNK+fdjRf3VFxVtXr9NUpp033skBs8ykfGLdcNS77Txne9dnrOa0slO301eKRYyxM6A+AVWvWW5zI4mXe5ll19Dt7nFrjtld+cGHnSoDtUYwipTdcn+PhWBwwHlvATw3mfk3nZ7H/F8HzNrMbTJtOE7A6VqePRGVsqrHubMmv+OSvtvU7zAB/aDr/rMbkvs3+M59A96pzpX2he4EccCNeZlfx5W3Mwyym63CcxNM5lYyq4sP3p1+ffn14PN29N/zCWjhW2EwmcNOHGfF5mWytx6BUIaqanqFpQuv5+nLNSFgRBDN5UJlyblhYHrJk/GRSzV49SfHMNrT0cRp4bhNRozAg13OUo6y058iXA3pco+0+4fEQaE96T8sD2ZVMEz4o71gDywlIm2N6dCE+Q1exKsbZbls3BC9UKtY0YQ3/Xibi6GLghEGX0jrprMSciBypryYTa/s0MwMnd2Gu3KZQ1MTHFq44hoFnlHozIpAj3TUavJJeN1GW+nUx2fgLpfltIVR90fqiebu3s5hNDtHbjN4axd3Au9W6FrWj1gKBWOOBYtr8oxo2WK1NStZYm7NlK8IJ6nPWmaQWJXY3aFVZDiJDr6QHyhh0N9PY601gt2FbjT6+PvOoOTmSUCJ3v3w//Pr0692vD3+8+2dA2APHwl52LNjyDJDjGbc4zCq6OLKfVbYd04A8wNosq+SaTM+0CAFZfyQP7LZEbipICLUy15kLT0FavyWXXphTWpZmY7TmXN9iXKLlJYpYu9AjhM7vhnSkxuqrse0fCsHLIHXhaFkeXbAbf1kRD7q7KXsL9lvtij5Aqmb3GoCyXNs89+HNS3camQFXk1X9vluuL3XEQRIaBIyNW6WFPBB6wVk4gmNt8oyLPGJ2HUwVRWNiAqAst1hjXQrtLttEVVteUWGbdj3Lekiov8/RFMBqb4fsbmsQhQb1fyUlbo0PCihNK+1Mlm0uBQGoUCaG2Gixj4iww1Ri0lpMZ/fxfEqsh16Cbe94JliaJCeapbIYiWhT655qFX2Zh6m/Y7+w4MjOPTL8cjzcP31/+PWO6xeud1zv/vjEtXE9YIZj4XyxtbAOXDtJspWnnNrGBs4jgtU8+RSO7W4btnMqeSht0cVD/9AHHNPsEc/nyOfZ7aMdCvdm0TYjYG83ahkerVTfeN5JS2ubKZuFlUliwcu8IUWnAMYpzWZpe/QylD8vXbD9DO1TkeO5SOFxD5q+et24VQ3t3AUj3eNChre7rW8Ir83dNQrfrbXclHzmIfmtuuCAaNpGSK5rWhYKB+XSZOup8NHR3IWvjEgdtWqDM26Itsz0udvOgKOVItAWW8wMaH7JaTqhXuONpspBiTnIo09Vh+mvxrlyWvPz+Kz7n+SJc62W7no2kdEEclTudc78PVbwxlvPTR/D7e9wIItlCZqrc4v9JKTlaW+j+IKmwCtel3NzOsX4+CRQEl53rMX3/fDI4m9u07ov7O3XhViIsK90EjHmufjJgoPuUyiR/XGgIudw2y3F13jVrfge0xt9lGKYwuyaP/qTmy1v2sAwWZt1+iHtLq/uFOTQRrmmJiVG7PLRCofTR6GLHArtnuVLX5bEGkb0X8Pl25u2clCeEcGIGptOpYtu6dTeb2Yr8qkIDxZUbAcT73l3LUMZrrP/Jqw4XYTwa3g4LTqQwL8kDFNmAIvIYejxuHnxCTyrKXxWAWnwpUKwTkrs1zwIaOCWIcwX9tnKMI50NqzKih6NL02gEkm9IfKz81TD1WVNNHrJIju2Jcu8Umb3Of9Mr1cDDmru9gyRGvU9jOs+qjKeJp6y8R6sFDNooQYRF6+zLHVjb78+8Xj3z1/++QuPdzze8fjARfzyDTgu39uxH4c5/MBuYojwxA5fMJ01UY8buJCbWRDS2iTYfqOYzyRIztRL+1FqIcEN8/XGDUZPX/oiHVwyDVFphC+8WK2SLNWdOFZD8PtJGJOSDPy5cg4uZeQkCB12OvjWGNMaCwCfBrqUNm57G01GJZLHF5syys1GQxJ6CrNASEsQtINm+lChGwhk9sRJy+XQLrYZ+NBDQ7xW7+ljKp/Qto0tOGvdNJfTmmkMLJW8Fwuf0t82fjVBBiH0I9IQdpJKkSWMsojSvRvJz1jYSS3Yf3r1cekSf6I826Sa7q3x1/T3lrlHfZigA0b/u7CdHTabuLUSQ+aCSWOLrabf2WqlPM0+T2yLQ7Guh+/LP9/9/d0/PvDrE++f/n7h4/K9GQiZr5VBpvP5OI6cms3UivXDKqQPFddWGYYPSA1/0U3US6XN2krT7izB+A6ZkWUbaa/MAE+3MFxcwzg6gpjBRB1CyDZM372NTUgsLzl/jfld1ENk6gZnuo3QlSbQUTjoX1YS5/80HadhFGAa2cLdpcxsZ0ZrRwjdxcTVEm0hAsAkJj/x8j8gOPAKt/rZCB0SkTYm7q/2BBRss4hTqmqc3C9t8PZk3TrNtjzIdCMagt1vdSCX0Gjdcg4b3EeuiEmWlyylSRVAlOfqDmaNVI5dOBzwPMNpLcYiAgED5EdqLM7lJ2gHfLJRvw26jbgVSfnpVGlPLbZD3/dBAmnBYYuIfUo6NhmvEPlWWkpby0Q4cSIhLEPLKB5b80dOKzPqCJfiGGKznZw8XrgeeHzi44GPT3w8/OPCY/u1mdcz5PIC2ZQpRyw5ZtG9/Ss6pAfKOEiLpTNTTcSVxs4I9ASNQj7TyPpiNSvQstYTFCAUV/k5v5A7lc/U/TxHT/Q26RKcn6zHKKn4zmmTwag45Mp5YIEVlpUVC4WTRGtDCpkrHA5tGBWCAtO8vRYYuGlMGR9Tk7yqBaMJ3pYd0W6crKYdJTufLef+VhYf+nHHGIvh5r5zZpqiVPWApGnFc+8o11W2fjLlxua7GoPd80neKUncXxGBjq/7Rd0TuITogZXusJoAQCp966W3EbpX2qGRWB+ThF6GpLl/fU0FmtyCEV7SOw1qSgfMfOf0gVxK+yCdTV9qjYfl3psWB2yUtFNdVfNx1T7Fh8lMB07/zL3APj/244H3d/z6hfd3f//0eLoorzWcB2wZduxFBTvTdywH4kzcBVuwA3bYOixOw0bm+D1WynTd1dhqYixz9XllvM/jl59ynjTGqkS2b8QLu8kqEYNXOT2PlRQylXA7TdtR+SwVee45t/sEIMRkxGGlJMfk0nNxFDHZGhu8niTxSu84/XDz9d0WW2abPzJiXcp/9/VI8i2NSQBg3Cp3KGY3g2Hl8rtqeI7y+cPR3u0Kxn9mFtniCkq80Vivp7a7gQrwGyl0qNY+LfKVeSq6vI34C32sq7/Q90Ie7QQ6vSgYD6auTXCNl7ambRZhgxMGG8nwbK522ZP2NscB9JNm7lxrQ6OjsaUkpusI+DJmzhZoe+JgeyAnw+0a5RDOeLPddkH2xgZwXpGw//TrA4+Hf37i8enXJ/yCbRySxaKjMMSCXDssnheqevBKwMrNpls90hYsUGxVANUNoECl24dmf46nEYuhzck4tPqKjVMAuUjvCeEsbyxHW89Kg1LJaZIuaM1YLttw8bqqZ4ay7WYRnOsbL4molg+f3mms7IhzWnszGofZfclmTOS9wasYqPUlppp2OWfNMfNC+N3GGoQRPaSyWsPSPi5ucbBe/qaYqglWPRKMLyQmaC+tsULzUpkOTh2WlSBoSsKBeSlhDt0a0zRIwTTzsk3G3kgp5MwmRqzlAA9kyw88VfheSeE1XgzhSRm9Mu7Vk1SG8QbEWxh3rinZje4aJHIQ3skElKSne2t3dP6oBYb9lSKpiI3sSyO6b6fW8plpozsF5FxEdF4Pj0MhH594PPD56Y9Pvz49IGw5l6kKNRexe8GWrZUlfBg8zpQ8AsJyjcX8FxBviA2ulZ6thJm8zvAEOSHFjdvFx2CIt/RKf4WF1Fq6uqcnHt03NxTNS2r2WH/4LL1Cexl98VL5tV2PpvHRtYU33FDBJJT5jsNa6YkuZNVo6upmJ0G19acBSxuBWFrZbMbYYVu9xM+7XxYO1EcOVABIA3Z9Jkhp9TpDqX6GhHOdgo2hZlNtIy44/G7wlmhbFhf3+/i+QJsATmBvtmiVzgYaOA/WCB/JMhrhUjqDjayJOHpWVFiX7OoBiQkAc1qQwztpcXqOU49Gmq00MHf09C7MiHrdE5hn5YQgSOTKzxxWFYeGtzm2Mo4ON6jrBR1yL5ZyY1+V7I/FKPCEd2VHnSIQxm2i8vn49P3A4wOPDzwedn34/oQ/gAdzINowSLWplU4+SQtsObBOICaSK/nrC2hwJgtpw2w5YGWc+prxhvS68aadauym/eU/tehj19dJzwCfLLly46pAp69Qc7y+wC/rH8sKs2DXPRoTH7F3R1uHyNxmT6cGiXSbnDzm0LVpkhngK0J8lN6wbNCaasT2N9RKXVPxkVt5e28lk6m4kze1TZn3wecYHbe1fXeiUML3NJLbJH3M8xxVyUT5+fxDamRmWy6tQU0OlUHCjC2aJEoF59Art/3E5xbKy+GEo3af+QQriK8MUzygzVNjLfL/Ny/iWMazh4xt3KSy7eZ9CreGOWiEorUVCm+vjul2/8qudHnSqHDag0EOvzoGCsWkJZX9u5nWuS+/Luwr9zjEw3BpzzAOL6eLVbni563qZHmsd8yQnehm5ma2qkApO0mNllZ5NWzD/7V3t6zEGFBzzs1QpQDjGs0cqEHxbXf5VOCmxf1eKBti3hlr7ZJGQbX6pNol/wzZM3LiiNFBnqNPYXupnmvczgoBitnZh5wgSbDEvrQVwsPwHk1xjc+UJQU1ybwnw/TRyCMGx6WbCcVae9PZdUvhFD1jxZXY6QwXWBtsuapOWEVaHU38BvBCm55NLjl4eoZE1Kk3NXxn985CFFMd/E6zvKrJpzDG6NMDbzgXtmlk3Y+ltYvtNP3O1sZZ8SMM9W4jaPhXyxBv2CcCE7cHtCcwUryFYlUfok18DY49hCCcPanZ+fj0feHxsOvh+wE84ly5bSxE+oKZ55+eWm41f7Eo1PuBl5OPQ1v+24ZldkQgNrBIY4D1LSr1YQSoi8FuJQ2sHcPE2XAz7tZ+i4Sj9bbfSSOmGZI0cTt45M69ZfTeGmi1a0akQboFVPqDfgEOX+FiYdZdq8ytIKhsP847lmBTE9Pf8HarOzsM+jZERuOKjUM5kFgoM9xBpsxM+smsFTduKaTTt4XaTPHWKGZg0EG2R5xNxBUe5GAsFxnUXLdbcMxVw2AqN9REU7zhehmAsORoAAFpRacegI2UlRMuw8zVnI9vI49TjCroJYaoXbgrzx/XZIZhExqWt6e7AOAigG9sK1mXq4JJLq10ZuDzY2OeLaaJWTE8ZYlvBpGRQNfbkPpYFkHckCHm04IeDyd0n5KisjyoKZlotR6lq82Zh0I+XG+0qaGHCJfBYSu3md7XtsMsUCbWN0QKnymwLTVYtg47zkqNKU+R/S8gtliIcIycyINejZi1aKfuA8BrSoUCfiMT5FIULA2gv7mUOV2kffTI1QLaypaarGWcYap3h6KeLCFkZICavUrJiHKECwurdIvN1qAtTlL1FokQLnZMVR/BDSfzPNO7oKGmBFoY+BfeEZ135XBl+GjBQv9lGSv2PHZrwmrog3sAuIyCO2/lIMnXCs1Ut7FsVSwdnpcNx15e2XEPWIroFqRJ6nmNw1r1gbPsXlFyY+hAKfcv61hsmEze6+ugVbVxlvW1WzIDzsDiKtt4aVyirRmMB/GUoCg65igtk+UtWG1s6H8Yw46eYYb4vajqzuRMOVNJXP0/idv6H67+c+wyagOAM49Wi2PWrnhciyjN5LFlPhjbsWNJ5CLuGCJgsQjW5AIWzBK84ijc3NfQJp3NZTRqARifYXGUZ2jcaqjRdIMD123J4/DJ9DVpLFSbCtrFzbLRZg6JmUPDO6sB+v56hebNtH4zeX3cauMCV5/c4rkeGmNMGLsDYxhDCrpJejVO7bNUsoocjGl5tdAsesCtogtd57osK+xcu9WntHkFP5IJ1I713VwUXdn8vMbT41J0asRl3tqtgiUU6kVPzYyJr8gPA/IUZgogm+1AbSSmTckrWmNDUrjqK0s4CeXMc+Z9RKZM1LCCng81lwRBAPXGquJJpm66FRUC1mywbSZXbRT7tF0IZBTdKDsEUZGdAYp3alCWymi7ukwPqMuHVZW3AHA+PmJ3Vv98+BV5MU4YNW5h33Z8OtbGunC4L2CZHQZbWIZ15BuYYdnxYi8njtPWgXUkT6QOMNgh89KZETkFvfEPGBO9GoYYd/Pd6Zc4BOHfkpLdsP8WOsUNBZs6YKbcce+szZOe2v3677E5WruMXrh8Vv5tcFgdtJP3pHf1sCcfIyuzfGaQpt+9q0ar586Ddruvmm5X3yF7PorDxYvOZX0tBi00H53085hE70C42z3tuzJgk/oKNb8Q+60BaX58GvOY3RjoDdNGMz2btirV7n040369ciK5IDwRfYPVHSAGe4BWRd9+DcHQS2mOksqgGbfmug4347qf+NPNdz2Nn5SbsP/5lX4zdqHfpFG+gUNpQUDbywAseIzS0k0y5Ce/EmbL8SE0ymNdWOw/kUcWBVE7diZoHjVmgkfsO+fuyO2i1wi47IAfZma27HiJQ3C5fIx0GgCLJ9qbXzX52vQrPOla1WeU5wXg/VFkWZSuk5ZVFarzC2m/VvhmdD/F6AZr3WbTGGRlIipcWPMmGed1rBKRd1yxOgd+DqktodHs1iVn+cw+SLq8SmzMsdOCdDgZ0KHPyHc4NpvP0Jua/sTXtMA2TjbcP+qQsfuqA88n1PRtTp06b7O5+IuHjDT4iR9RHshBlJcHObM47WRFNSXm3C6icun0ut7c1hyct/cm/yZsFmPG4RToX5MsEHfcN4hQLIstdVwLfYThuf6GqJQPreUzp946c2C6gmzPncbu9BXGEJ0XCQPFaSCSdGov+GFETHbpNyF2/U+Kp6U1Dqs72diSEeVZfjiva5xUBEcmDi/2Est5Y7UEbhXrnEqu8A+HrQM4LZawngzBtOFWapV16RsHl9UHOZ7G5hq44KHQ4F5WrBsYQ2iSNoRSHVSOUlbcZdKdPRM8aSKK9BpNXTlLiUVPH9QdYCbatPKCPzddrGzGcm+n55bGvC/HUK655CAsFghGewpgi0HEryYuzpa8UeVM42pIo6Y4BlvVqzZ+bZ/PDltCa8Y3vN7LsVifBMIsFzZuKY/JXtP2iIzmnkfATdOrvPj4WFtmF+gj2xyVg5YS73KzvHjDNpdHSbOM2ediX0XCwTHmH4sLaecVjavqIGcQFUs+lpbBAzGxwMk7ruhj94b24kerdVl9n753bC1QvkWKVb6DPWhCWU6CkXWO6HwoatX9G3ZhXyRrwQ9gJR6dx5H0xPp7ZHRnC8cL1outl0ztny92tCisGCugkGcldof1BOrk+hYTQ7542dOql+KzUhFypf2805sVhs1koritOaieWJUz5hRNUpoHttCoB45JPl3HWsRSJnsfT49LrIDI8Py6fdYxJyM5TUMNAYzDt7ILg3ns7NYmyK7pYYjHnQB3G9B9nDZM2jYivnXTs09ed0pFa6fM/2SYKm/NZJB1sM1W8o99Af24GU+ERZNX1AMJxU9ExOf32XDlkpgprsu9XSmTjduOsUUUIBglhiwpcIRJ+65rmpuX52H+v+YAVL+FOLi4IfCCuftlzkgx+rlN82rkY9CpicJDNutDAhq/xjIRUq3311cKDiajK7wG/Mx6lGvd5TD7UNNwLWvBkQ/augMHlvFYohUJLztOrBdbC8dhx4njZAIS6Uea4ZYnVW6uQXoxzKjaHfH/YuCgAZmD+Z7C67pX4JYMNT4s0jJo8HqAQ/SqXtGyj92blpgTe3TmY2Rhe5IANaTqQQ52hqK8y24TI1BT5Rsa5JEghQ9oHRRzi3eWAOKtzlYOJzhbJZHQdD5eoJg36DQyIemxeLiAYY7zTGWFph1xAuZWGTPHzjxqf4zMvapiPYFSuFSTr2ZZlFxqIFNPptwyQKdqlEmNbMbf4mnMR20AX4Nc5uNMxN7ocdbm80L4QfOII3+czs5667RaE3KROTwS3TdD29QWU+YmnpPh+JpCli5LV1Ba78KJSg03+GqkOfmUk9zJlGIVTdRu3wjwuq9x8e4M90FEBgzbLJNfsb3qRh5lwOx7zmsOPvx4wA7YaccLzhdbL4FfEYJhHa7HImX/TcBA8aAMDxmuy/xdNuq6bvhvGoHXt3futplUV6um+3pONdS3uZjudIhImqkKJTlVv3tWirosSUVK5+oYNVLR2GRWhxq/7Xwz/mi9MrDtSDWeI2+yaJak4FYWpsWs2UTrqB6Vz1RxAT5v5mwsC0V8VqayeFOjpSyFmGotGlxazp7JgULA8Jet4uKAucmlaBCNwlllXD2sHnhngHtmjuqCtgAREf3PSMnAaosiRPKYSCUmAebxJHY6vHSwVplz1JFnALBZxzT64/C8HYKQjztlGKH6RrkP5x0cWWKVLLO4JyMw7hoDaF0i/+5oRNwh5OXQzJtwbRTyizSgFCw9ZihlxXbnYtvxuJxt4AhgxrGxLooOnJksnutzBnLhfLV12vmC11d7ebX1GsiVBcrjCXfL3scH9UcZW7/LqiwY1Y1kwQ3PeY2hYrf2JExncCFi5gJ0VjnrOPug+6fZ3muZiVg+q6gTx5Bh+QpYbBG70JJrsSZj4OPBkxtrbsxLsGjXjti+XEFxtmObVJesycxOzl7LLIkS7lHw2jQWNdh1v9YxjoERF1O7+lfRX3UudrYA2dOzNgeGJtM6s35Af17gd16V5dZWJQZUDr57McuhdIjGRtokKDMRc5tr520rKRnDRNoXLJeCp144/IO7AOQABtv2zqcvFSjIkR6oBQaEzpvPyAVPC14Prj6ZpEbaJWsL5pYlAGEQT7iaFffeYVN2iKv2fFoKAH/6c/drHADOMmwD4gnRI20fF8PxBR1Jto7wDbZe8rnI9ZLzx+O047R1ZmkyNqtoaDzoq5nGoNHgDY+fDbWssM8rn4p++qJ/Ldymb7C0B2MZVPkd/c8U6d3+GpyUhDthNojJaQrvGk5cI3/6jFjwlPKr1PCtjQ5NKFY+I1/xjn8QPsvQE2Kiq127Iuau1/l0gPMz9d0Y4yhKO3ecXl6keMeVZOYawGcICWkhws0LqiJXCQFN2zUaL+fmNprg4HL4vJraUhXAFqoX10m7qgFVO+sM7lwHqozQ6rtmWE9+kq4uZgZcdtT1y0SIibNM27bDBYlhhid0zSx+RoqyTwNlPlU+9SBZIs9GB8De7lBWL6+W6AAndvYClHM4o1IUELbU/KL+WBYl7aIjWsDJZV9chX+8YR2ww45XW4edLzjfLCaSsTpMeSYUu27gdBvU/BJ3DevPIfFdTDhtZNla2wpEboCj2EYoVjvm6BXLsDafT2A6vz1ea+0eH8MJNc/cUgU07txYwClln7fe9co7Gt7mxWNI07DlT9HJ8tlO9LWAmweon1FnrwXxxnSNE5Y9YwVBT0P8AI5VIpvCcI/9gMYKzxBHdj4tGQmb4kd25yF/Y9IVaUit9GGSCHp+ohIq99cN+ouZ3nFdyFvkd2v7i9f9q96C2Vq2kAm+7bEjaa6QCN3LoZo1XfEYzI7ZIhecZxSWKXQjOA12IzVQaFQJq24ketNzyga0LZS7vg0nP/MVxbIyWWv31YDMalXBnWHtozMBFbbzsSyHmS2HV4gGg70gHnU8uJ3O+Y1p+8jfRyIsZpcmXxDJyT7/ooSJQbaJ4ggs+UK43VrTstKZNvum1pXrXO1Tg2K12vaVap441qK5QcP2cjOipqOx38XTIw4AkcvznC+2iFnYmwzyyaax13/rkJl1YZIxAU80TDJGGYRtcc5X8DhUrN4nSbEpNPGiHShYV1aY4dVh+6lKOzJxvhpC3fwa39LrUeDRD4Mc2xmH1IKdNhTv9xFqAZhjw1eGFqVWrIXHbhqt8NFgUhGn4gACeA3BvDXcRJm0EwGSsc8Fcse+3C/ko+BuSm7k7i9GG2hG7+yjwiIvXpj5Yohsuo0eaBMtqVO6izpHyJeYx1Su0C3zjasKN5R3LCz94iiDlFhARXgm77xL/KLbZV2lmGxAn0imWq+YFJgEAsAW1mnHkRC2DtiB8y0h7DywDlsH4oIErwHhXEw4VAZkZInwBrlNwC2f6G2SAy46qiKSWCoh524uzVVMV9Tl0dTRBxcrnpwuphHq3fIoBllfR0uwUXI+vskdSdvNowOvr9Ogn+x23OBA7es0AzjuuH4DDbVMRg2wrQaN6mb9fsdXOYAOFI2C5xHaeOdodQeOAVDlswBO8cM0Ny0n6PgcH9Ge2JuBVRWvmrGnxDLXU0WLsKBW3VAxIFijlnuFht+n40S5lg53MTXfY4GDpmKcCDTrvdmK1/c9HdUBp/uDNpWmUCdCct7dhCbJ9BgwdSUSDAJTklS0ud3TbVVRUMvlXULFZS6UyzRRw1ljTJ+Gw7AtgimD+TJbB44XHMcyw3F67Nd6vuQWFMeyxSe9TY4iWyxQCj0BMW28vGTIT6xQtTGqxBWqsAQtwSZ5e5v9pDK3ZYnD+HTNPUPXNH3QoD9ZJBox/ZoCHnfKcarXQdHIOfQR3PDJpk94ZlYp3FaviES3i4OlzZJOHgTLzcayaUbH/OFR1jGgP3U9KLBpIS1UEjn55+bHbWFS0GamlFK7nkZswXfldgo77lIbXDffO5eGJUZwbw5CtDlz20RRYtCWfs0uRk1YI745aOfOBUSxlIBFR4GZO2Gs021H7TNdnrGhmItdvsAJxvBrhlZm7bQ2kMuf1sbXnEBPtHjhMrpcVZiyuhnzyOhsygCo0GdsvhtRXkknkb3WSIV/5+YkOTo1gy0/iEdrWURYLy9YAVVHbrd2nLZMW1BQQ22AQ5eD6GPENNIIQ09pVF9nFOiSGlJJL4LfbYLScrbDI0kV/gpqQgN7/y2OkX8hHXFDU88aza0UVNbUht+iQikKMXpQ1ngmc2AJovmu5IBvTWyFUzGqWiMxqa688ljzIPlYiYYcfKo1TG7lZufFcA04ocCC8O1cHlFgygG3PE3ERaUdljWMBB4AXmunaqlE3KGSdnxftVIlgcVBL3RH8Zm1cPKTmpXhal0no6zbycSujSGGnO2G+m6l+3AHZ7/zeeqn5dHaqxx16zsIbB4FyL1PIjgcrjIDbIMzlWksmneNYnploKlLbL1j0ljOq0iX6nWIrAGXpmqJUHSZ1aozHujNLXHNzHCcBs4Kj2XHifPA60tue2+nhd+KvB9njhjpxdJx5/huRts0qY8myKStu3kdxZWObLTQ6uKpBenraMTWmUllSClJPxles3yaJpetxGe7RlFOPjOl9ZRi15t8r2yWdKQ6DJLnPFDPBEcUQ5uR2bA1KwUWIpJXxJu8VhEF5++cRzDI6Au3ouvYtqymdJNVyabbyiNSDXKknEbXRYlCv8MwLs/NF020eWRSGaiGVVkupkh9oPG1VAtjptZFKyjmJGgstPHIfEgpc/sSb3uneV+bK75TeJ7ZjBa2CdAK55i9LEX0prkOuOX6jGCsLaJHg1ZRXQbl1PVV87SxpauQq30SjxBwTVWCgkTGxk0gi00fU+emW+JGzX7GS3pWJsnFDo0urqr1hmJVEWVbmSGgs2+bqp44M1O4eFqHxRNCZ4Zd52nnwsvJKRtXV6Ty9HpTeduG6QEHN492e3UMa7fOcsSdQWQeAGZ1jC3c9uRtPdPqHJOX90CBf7Pdu1ermHZi0L3G5QI3mlQ5om7UzfwUNqsosW4OIHRh9Ras3RP/+rRMSiJB9FVRHahk/hz9ZLsQ1yam9pe1yExNO56W52Vzzg0bbDGCiS8X0yvil5mgIs3mS6V4Er2ZeRx56OBpd42MQJexHJanNDaH2rqb80Y5P3DFZvvqCxq9N9S4aEKTIWmzOFbzPsLuBuRIwVVXT3dM3pSTzluGU5nEZsAV236FQNqsS8TOVMNXPSaUJWcHjxDbNk7kUOVIRJlhz6Qd/LSXmDDmMgg7sGJtVyzvMjtOWyt3yykux2lY5fE1GIuCDr2jQgHV4TRLmHmn4oUxZzxFRJtSgjBtoyZhpY4AeAIiiENJgQKR2viJJiYAJCxiVlKVz+7qnyhWAiqxZa9Diw3tD6/M1/STiYzeh1yvVFWxdKwJJDGNjv6XD91p+CURtGdA+s2mH9PfSr6x1aUU7pYDmBBcNlOsJH6pEecu1y2iNpZi7r4merwBvbyLR+ywvJXTammF4GycUU4YHq5ZbqrYEZIgdc7JjgRabLpD/viT8e1q0ggurgx8VH6pRmXiBPVkKhXfgLJREdCMadChWLeXUcqfyhO2cKrfeB/RhENr5tEkQBK8Whc70dwZUyMy8MrPnMdbTBgTwtZC7pATZ3ksy0USOgQkejCKOVtueeGbg+Arz5vjtySgQ2xjzL0wTRaF86/BtgSVcSUix934rvvzHwu0c+7bWZ+X2u3L3ei/uc9bL9UOOK7Fmzp/BFt3qGLMrUNWW30ov4pdHDWF98a4PhZSBUVCN18r4Najc6uJ8aaYKPbePmyOrH2+bKRqCXLCnfi5ukmYSPKcnrX8MvM32ZlNpnRIau25I1do+14RUKw0cNwCH7UMi63POTrqd+bgeCFtIf9lwdLr+B3kB12lOQZyefF2B7QfwaIJ8qxGphnUVxslfR4c2Cs1fM2RWRuaxPEsXhDICsV2gcZg7pc3364Z5jH0vz7boyVHLhnE0zboeQBra+F8/eEWO9xTk3KHnDOi61inqlqKQ6mfRYfp1LZBYKms5hzhFtux8whrEVgIauOnLs0VAH1tRohaKbzQJRvQngvSCOyJnpliQe6E1Qvicaivp0fDxt6MzzPJStPJZ91zPn6s0qXm2fiBDVcoNecgi2t34wdnfnUZtS9nAZWOL/Y11lKH3D1XO4Xma/9aT3/UMzRqror01kMIbbVuXnLVYG+ePVuzMc4GLoAOdu5D8QHYYkdm74pPonlyd+ldfr+Maq+tf3KlDVuQrRPTFGjxgUsDq7uFsG18+kihqOAsJNcG3WEkKSvclaBghoN5EddswVs1mlLzCGScCy9cM6SF1PbUCVoBu54Ovr9RVcQ0Rh/XBg/VRNZ6Lo5Tz0/em+9zbUbOo3UFRuzamTCzTN7xanfHeb4mWnNFl62Iwo5aciUBVc8GmHvb/8da2PBkiO1PondGx0p6Wn1ZU0Mkg2qFTwh78z5v6tATgJxu53kMyU0+z5VsecoYmlQhUczzFJRMNOoZ5kAWj23sTbFghyKMX83p3SOgzpqn8qh/oQC4sXeAF2T+gxbOOFKfbWiMA23aP5bsTazBXHlMn38T9jDQaNuHAQswn8hvH1YWqhuOt7/TwlhS0f3PwYkMjjFr3sz0Oofex8pPravJTBWUV6khiHCTVX4ZvTQH0zgHVFiIbn3j5uLM+OW10iYZ4Lll7px5q4hj7dYbOg0XnAMv0xEa1NS1DyEtycmE+WoM6JMHb/d2pBn8qXuk0Y7zx1u5gAycz9xOSQ95WQFFa2SQZSHucmRD00RyDzv+msoGVsndm8BtXt2RgQtZPWHIDdwPtTtbB5BF6NtwHMCGX9gXPj+wHZfn6oTzMHM3x+NI93MA5+Fvx1cURrNzF+ZO9rCANqySOl36LdDIN9rUarKk4784CYsiY0dti/1BF/UsfcWTeFpsB6BV5NhrrTdyurAbqZXZmMsA2kh93YfZPHWzNEX7VNkow1mD5QSs1hH4EHLMyPK0lKuhbRPKIP2LhGAyilAsyCmac5zzoNLspCam+c/L5yYZi+AFxPo82kHLdT0jYDSVpfOYSFbyBzhGBma8ml8QRurPtRj+WbvoCZjYVA8pNNKCpPt94gXX3hszoIDH80J9R5KbjCKaO8/j8E5b6IIi8eosT6iqORArqUNN1cfA5QxgpFxM5aAJMdvQgBWj9sEboMBe3SgnnnLf9EYB7+yyhiLAFh93k9DGvrAffn3i1788DhbIR0UPi+N9P7AdcN8vy15e1ve3hbXN8uws6r0SozlLRsb3vf7fvHlxU45oYknzzxKKvhpGRCmszvbhTdwzSUDmpQ8Cgaj5h5B2oyekw2Qx5QYodNLkV8jQUyslfWv7g3LRlst7tZdK6sWP0kM0bpkE3PPNzXT5ccBJ+Qdx8BYR1mKx2tqs4xoBKDumLcU0Jd2+5gT0UWXbBFDx1xY8TjE2TdBNmalww6ZUYDvKCAB3pIVt1DLaNkWFxQGDT2xsKmbGZWGN+51zLWKaLyp9Tavb7cNdATyQrneSZUAJgtWs7qlvKGgGnMexqFwurhkPWJY8bSisobJStA3d8ozzMonnCPgp41HFlLIX8Udd1eWEsxRMph6fCSDVkn5t7iESQhU2/MLjE5/v/utf/vjw65ELyO3AARzmv648qe7tWPsN198NJ7CYlPXgZBVzUDDS108m4cVIE3trgHU2IVpzDfjLKcp4UnfNCi2ya3TXgVLVJ2nenNDTe1PPfa4wi8A3wuodV6LUFNxtj8kO+u3sw9BcHHU2AbXRLdLyKlopXYejFRSsWDI8W8FlLpW1eCoz/410iWpZSY+rGZPgSVUhJRPMPm50pBlXgtEyBZfADC8uGLuPJruqOGzntPaWqiv5lXG1zMKwyI52KE2+m3iXcy+K07yfJ263FqoYx+/SLbWZndWnncKTiu6N3zUe2fvTcKzn1rvy3d1nV2ZrF/v92vHxrWVpZIOjchlNDWjC1q1y9zLBX70C+y7gwuMXfr7jXz/xP/+v/fnT93tkvWDLI2n48ciz6o7X9fZjXev9x9+Pt78dL687Y8Sz16W7+cKRB2P+FT1fQMftgjmVaxg5EFns+sKpRFQRjfXv7Pa+aPH2uaKJIqT1oZBTN96giUbVdQyGZ3cWnXSo6L86KqkRN9iRXxXleVbmypQmsujam/o6Y1Um/myz3a94Dju9ltWSndsNnM/Svaws9jlJVc1R2ZtGiat8I7ZYmqKuYfVgYy1f22Duqy1omFHm8Kbsuiemhyv6/++V2pGrXkMBBr8KOrxGseKgX+Ksx3N6rGKQ+PzdsxVn+aMyeWLDnH49+asCdK+vrDdV9+qrr1YxWLvLp09NMLLuwZoQjIW25s0GvcOfFNk2HEN2vC/4gyHYB3798p9/7s8/ff/y64Jvz7PmzB6PPBT3+ObXtf/1Pz8Bdz/wN1sH1vLjELjQp1PDb2ShyoOT/BvRg7Wh8nYr+nQ9y0+mHKjoSvpyXZoMwJ0OsaYbNwL6H2N5a1qvNL95ET4oNSbNggma7xeFDisHOhnkre9uhgUhqtNHOaat54tBjfC+e8dbivo+7vGhi3w2e7uVl6ZJhUIYo8C0CNcYuS+FJESToK8RVrnQSIBTlulc1YiouqqMZQDart2WqY5yHl072/NLxd5ZmOx6As2y7lLj/Exc9voluScV3uo4T1Up3kiHYQBwxkqCDuOtXsTpnLW7G4TJLJvbDxi9e7SbWqi+f7ddh3NDJrvVY+zGFg6bCagyD4PZ8l56KCWn1JkmdH7p7vuB6wP7YR/v+PXT//zD//gP//xzX7/w+euxH27Aeay1cIV5LDu/++cvLH9/vO/Pn6f/H+f5GtvYilRDzLHXSC+McTATPZHfJ8/RebVj4/lcqJkHq2tlJi/rBaphqhKvme1rPDxFge6kyywXdtC+AaqItKjhx6yO2Pwd+2CZO09288yousM37CgFKTizKXPmudyV6W0Mi2EjjxCENFv7TpmU4f6gfEfVfMxHAzYY+lacBXTSrMn6dquyhSCKycQVVPWd8BzYPp6NFdtJZ8LTJiTCuOCiaAjViAfaweXm4iJX+jir9AaLtcQB7/hCrEoiNt+kRwLuyKY5UyU7+y49Np0YrIXu+ZMhdnaX/Kkdx0man6NNvb/Lo4t3mOLN32QDNt7fDVNG2VqYji9n8BVLN+fwxCslH2PAXvWCWAXnQkwK3NVeaf31wM+f/v4Lnx/7z3/Zzz/3+z99/7H9p/sH9i+7Hr4fl7/gfF2Pq4a2L/9Y9u+fn3/8x+eHf/v2+/HjH8fLmy9rZDtPu1h30vt4njCO7qC3k0pOzWIg1rFev+lO65dMR2xfKzYSnOxA+Zns3W9tt0+EFphJdABzeynTNKcFE3n0H9KWZClRPbR5/11LwXo/DcWBixYoTV1cOxoUppstx125/DteDM799WveUpyfDjgVVLmrlAVAqjKptnM3NEXZZdsBVRvo0zSl1Hhptul+OdaGOY6jXGG4qU1+WRhsL1/aU0L5np0nIn/5ukPH/Y+CK374JYyQj3WdTQKzItm7LfXIC7tK55qhGkmLDn3eh9IJig0lqem1vjLb/kblS7BEMRA0E5YudweqS09fevsWgPWiZkYBe+Pzw99/+fs7/vzT3//cj5/u7+6f8E/gymUW+4Bv84tTwk934PFhl+/Px3795wMHzh+Hb8MhhBLxjnouGWl9TneIdJQMnbKAIl2h6nhnYYxeZddWnC3u31nb/EF94Als3q+LaUiJwJPnDb9mR/asjc9qHhOYDjHROCeHmou6mdU+w5a+xzG1gpAnzlUdu0FFlNr7bvh1bX34hU1WHN8g3cEYwW8+fZgZir5SxRxbrO5I7QwKq65W5kIKrN3IN1Hl5Goh46o+K3SOk2oXaPGLcuZ0x+OwkaJ44EUXz2Scoq4Gme3rAAwrCZDq7q3lLGre+1UuwYw6l+s2405Z96kuJqm3Zhy5ZXlANo3A/5N7ssEu++dr/faV1PLW/190c8+Z8lq1zji3FXGeKfDMf/35T//jX/7+p//x7/745Z8/9/UO/wA+Abd1LDvWOg3LtsO3L8cFx7bPFyxfy/G//q8/H9fr8bb27wfOW1V/GpXI1WKU6YwycLfDutsOKR9A7VufjnjfmgW9+HOPc/jxT7yxDFBkDQSISjWE/RnPeUDtb9kejdCr7wDRPq6gYC33HavuY17S4y4pfqtyLSp91uCUzo3tNRLAKoENLFsRrq5cpm5q9wu+9EnRffZPEB8eerRRaDBdBZ2T1/odKw02cyxfB7frcO8Re7g5MLf9pSbFQ6CEf4PHURBRd7J9mZmtbRdLG1sKJKK99TdGNSxH2xmSD/ZMzHzPYIcg409sHS81xmdkJUtXxNRA86wFqVYWHz+H62cjJlLKLai1exq/jaXuSZHlH5aDGq6qqNFaXK9vmUD1pgNtwcaAgu70HFzbY9oJN77f2x8P//Onv//hH3/457/v68OvD/in+5UHLBvyQKZzrYdf14Xrca29AByX2cbCOu1l4fBHPD9g6WOXqM35fRwqkuwd2sOwoiUuXLfSGdWiaBvqTGY4nFOQ9kXKtK/UnhlioysvFAuP5cDc2dC0jzCTVrkFQawgbXOQm2p7AkqGlemKHb4s8GukVGz8HvXKXmDbrJuEN3Lb2Jk6TxA2wa0PdrUK141E0ecFioEjqTSL+QtSlUroYjv3MevGMkBtrMvI8w8DtchrPnlQjxTRfnr4woxl4lwS5tscfhGqd+oNrhX7xSkV4V5pQfnFGIx1dMsR6LjotqgudCSiJT0+aEReBdW9jriL5YY43Et/qEOPui4hxwDHxY2nJbGz8aWhytQeNKmLlxNm9WsqbdfI+jgVxJ+MbMSRt0qLoL9BGHo5xeetNMGiuTbA8N5c/H1tvL/7x0///NMff/j16fsTgV+xNj8IWcjH1sz9+txXZG+uqA/YsY6FpboSmTnZ4939dnfh7aKiXWMWp/I7UwbLZGZi5uaDdTFcuY7Ucf3h/IDKk6Zoc+khr6rZU0OUSndqrV35MlexAlp3yGldekSLam+ihnihcTZ9RKqMlYIMH1Cw6uol8IszMBtSuKEKxqCyM6MEFOJ46SBV3PTf8J9eJlDqgPlygI8NrAVvt1S+X+JNnv3/KPu//lhyXUsQWyAjJe2qOufc27d7pmf87u//jfzgB/9sd7v73lNVW1JGcPkBWAAYUnk8WbukVGYEg8SfBRAAybLzpWoGDLMVULZy+hkSHvP0Ba6KtTsl2srjpW+svDPhonRPXQNisthC/TXktK4iJLeh65QCSMUFXs79LJ/MAlfmPNJK4ogI5yfw1SP/4nVL7DSlyVEhO9Jf0VePG0ZN8T3Sf39W3qarqhKyMOKv7+1Guz4rCif9aDBbF//8D5z/5PkHr3ec7+vzY9GGU20tgpgcAK617Apz9Py8rrWO5zFeMIk5x5yY88uc3kQ9yzEEh+Jb/7eancqiK7Z9EIXA1ghPhT0EZ41uvdTRpWt8x9/OCSvg2Lirb0sJvzbE24ctAAsJDQEb4bSZADPtg54WUCmxqSZclwM0mnZpHP4rAnijYUYEj/o4/3oMStN5019rpbnS/DIjK4lm3dq0rrcyutt13ukBg63V1N+XgIGjy7OG4946bgMSlQXyFqY7pW7pDK00TxlebXYyjtRs3c3VOKwutJFtV9/+7KPunbTexkaYZFkgZTNQMGLRqoMHNm2Q+HYDE/c126iWtp5mQmgX2XQjIbze+vwldqLZhRVq29YVpm3phWjItFI+oB3463fJFJeA6d1ati4+P7me4AmePE8+n2vN5DNAjIV1CS8IP+hpAc+T87K1dEjdLBEp4mb9mvVuxzv6cvIScuvd7LKfSBxzGkr4INUrFzTOcWkCLNORH9wqHduVd74gTFBNDdqVlprwRYDtq1lksqNdZBp3uzgJtVuhEJGyRj4SJG3Niv4RKWY5G+U0ZpuVKjXhHPNwYwYESMJbgP82zl2a5de2/A3EWYt0RmGTfBlNThghRw3ViSRMrz20Gbms+IvIe5NW2DGmRfLkEiREEPKaq299DnAfYf8z4x3Y6nvSaRLVrTrUj2m1W4MJHH2cwb0mwTgEOp2raqML4x6AY7q2qWhtlGUocqsrU0idOW2O+YsRS7S0Ghu2Xyaakj2uuXkZG2k1nMIEY3dKuglaWBevJ54f5Cfx5Lp4nfx4ci3CDxCgGXnRQwoSqTn8hNjPk8dlx4Ux4LtF2gCMyzqtk6tFytU7k8VyImLbs9H/WfYZWVfhAs7Gi5UPTJ8sc7lczQBbaK4ZgOFHzaUZ2jTUpS4X7jkLK4HAyHxtJk7fMtP2KYx/BQFfHlkX9vY3y5SwBAFG0TyggiBjY1h0G3HrZeBXeWoODdED0lQspu+TYdbBKxoerT/qe+9wzcgkGW2lgbyiKwqDlvZcKPtRuqHZDG0xhxhNDdeYKgT1+fVephneVYsIZvg8XHdaZDRd3MqqpCOyvblXYPQ9/vscEBn2pdXAO4mz3TSaVngXDR0mu5DIc5Ml6LYuc4QWRkiRMkdryTyA5ss9tnbZxrzD+DeP5v+P74IiG4rdfIr7AzJLTem+U+7EOvl8Lj/996JX6RNryaLHg66lMzUM8PWU13r/84kH8DYeb7+8/rAfP2Zscqtu/XUChiXD6Czyh6F2vmqtGRHb7zqaYz9f2pK8K/QyQ2ZBA4GK3Rdg4nZKYHsNgyZ8CviPL9kbNgXqSnJvkZ7QuAWpy8QQN7b6L2fWQHAw4KArjW1khw4cYpuJV8dS7b6O2EWZjIqyJRjzCWSrrozZXOGsRL+33kwWUf5cZzWUm7pPwgJBmkA3PrrtQfdniYbq3CkCQDPrhIDuIRsArTdMC7Jyt0NaRvO/I17mElpjjeAlFF/TfobuV+IulN6AZzw6fvnnh9T5y/MStBrYdE0pl7W/aaMJUVcVkLXW/fbCtC6wSZF+Sd4F9Ja26Gj2EPoKO3yU2HSgr/Fc5xqXbEHYcw5gKijv00bZUyPBxUWeODnmeODxao+HHQ8bO+g0htxqPyPIuu3DZb1T2UtDut0y/EUrk0+g2pGArNIuQNnwIIGWclizkgU9372sBLyE8dafEqcSn7q+fYgM0xYt9Jf7n51o8E7S0U+wvwluizSytv9LKuuxNRa/3SwQteaZlGWh/mythGIoZdnYk865aTDp5mbDRKX/brZD6xS+4k9Z0ZJb5pAlXybyWynCPUaFtMYFAcLY+gFoywb3LiVzjXZVyHKjqz6olPH+rQSyfWbddIGsIWaGpD/83hqOTi5q2vpl6EGvfFLC1lpcK6Zjbt05oWNngGFoe2ndlJqpAwIrlj2Nu8q3bfRKNssrQArXzex9C47AbYw2DUY835/HOX256Rz2MseUGXaH+lq46hQLcq3rXBfOc57z18ePf335298fv/w63l5qG2W26WtmJnsyMiamkrgMx5umh6FNg2Y203jmkhSTSPQiGD1uj14TNF6AwYZvfkAzGwudXKJ6sxOFQLuo7mhsozZQYW/sr19sb5i/KKoFlR2/4P232OWtZhYEktzpbJHbXsn37IpeQxjol+/71iNdfGXuLAwy3JOtiHHhF9LalPkIyOBXxRLpYtz7pNh37ZMK+BbYQYbWy5afhIE23JnIyeXu8VhVm1WUwsJct0ofEbHP31PXbi5vXt51Lb62/CaH+fVVwJWsVrIyxbCDwi27eajdMNuF6ruCrKQa4YeXLoVI14W1wEVbBsAWbHAM7bvWZs7NK4g/m0VJLgRR2Tre7gNFLGtgoCBbSe2mdwtpKIMoqaRmGOQABudYwyXFQHCBD8B3Lr/IwGvgQm0GOaY9jvnrf/nxj//8+rd/fbz+Mh6v5mu8e9CDsUNtBQLSvOSOwKk2GrjrawZ1AcPVeePUsrLBnelmXNsZuCKKWbcKXKRO60kQrAUE6bwQvhUVc2ULIQvDkiCDjazlSe/A+h1Nv2O8Dcn2oJ6lfCSAeehE24zF/a2n3sjah21I7XTC+jjDAlr0zWDhDYtZRGQbc3tijvjVepmjyvcIRMzEX4JbyG0F2HIAxVfzk3VEzxBXITyrs8nSxJfyBSyDxkoGSR3I4ogAqFCsNiC7kvdxfeNMsNWEJnc7lb5cjMwfP1L5eseLd5sR6ypSptLCEqhDACxKyLm11V7p2dSczup+T/quRY+I+37QRsW/TIdI9AWyRfj2JnE9bGIb6ZfEZ+IA95EkYxATJEv6IeG9JI35NJjXdPE4YCdshXXuU6IICS8ROBevDRyP8bd/HL/+7fjx2zxezE8eSGFq0mspS4LR6BR0WqYZlgEGxlaZtFRjv26lhEJ+mjfIqFMPiWPqZw+MChyTJLsm3kxGtCSyE31SVDaFVhwLsJCZSUo3MGycaw+M5uTuRMcbOqU+Cl9NU5lEhC6pSl9Er6zP6y3Tj24oistCm8yZqYEMwdiNbmwf5Q1d39oorT7c8iayHykaOUYd7pZlV+r2LcTS8opq2Po3m/ax+dgbTfJiSe6mdzdb6P1sjpfl+Gu0DIj2yf/2vIZjad3CgjVq5aOEOiV29dKOCkz5bujYGLaJnNWsAQQu48X1xHWRy4aOoTyAXr5x79hff5q7hxblQrC53dBgMEbJL2Cco/vymBqRYR443vDjXyd/Dn6Mp61FPj/XXMcAbOFcuBYveQkDsOH5R3v91f7r/zJ/+8/j138Zr7/a8QCsKonSwphOHZFFTLXJsGOAhJ/LSlPGVprQFTUmml2uaFlt0JW8iw2+SAcEh9sFegWHO51HbNcMlKB02kZ2qcdj/wIlv3SkfxEGRrSiO0FjCIgRTG/eCJRZcu3aHlAQZqUiXLH0fvMDDCBW2enWhPrEC4DyfCl82UIb3Rar3fFbmNw8k3SGWLzIRGRTdqIBMliY2MkuyN9htx3meeN2j+Mh4o0av8aZbvWoM3TjYGKgPWinRa5MxNbvm44yOfGXUvHlRr/liMUL6arKDvqoKgfUupgisskJsS4ukpfBgGVcUFT1Zp+aXXaO2Zd+u3i6NV2yP7IShWRp5fIj0/obS1FJu9yo5sXBkK4f9nidf/+3x/mHXe9YxEl8PM0+fBtrLHItXNeK1RwDNjEPGwdf3/DLP8avfz9++dtUOYVTTy5vpV8rtfA15BiMZGllxF0GDLmerUi3ZTmlcPlOAL3RtWZmqZgt3dEtY3pABVObbbjZENSN7WwkPSF7tCUt8p7mrzZh38cWASjbB9R9nLAEoWNQ1qE6uUXuWi50U5qynbz93YZi5lVAjXJJPKvRhmBbsROxEeJXKgACU0vbA5aACu4KbDnk7taA1p4MKPyyFCY0/6+EserDVpCNrIe1Cr5kYk11mUagNPSWAtHoCzVvGY2c0jY2+AA0nhpXMicWjdnh4L3yruUeA7GwWBHyEUhWcwUz+CbfSxnYRV4XMGDLsh4n8Sv4YZ0TgIeUq5Zpcy3akJMMMJ3HvI1WcRwGjUV2axns3hIDLHw8Y47Hm/3jv7x+vF3PP9e6cNI+Ps0u42W4fMrMddEG5gSG2bT5sOOx3t7w67/OX/8xf/ztGMfKjBONUUsjlN4MujiXJlVZ3BbSd/EBOVyCCVbVQ7MJIVNSmyyhS0HbhSOttW2moxn3kknpbRCRi5muyq3sqzyxhfoCpDdhrbxGPjbm0Lk27y7LzZ2SbwlH2JpnbuGlNp4WMIsxJbkMAFeV2KePpWMo4rZUGMpZVehfVlIfldfYgK33iVGbdpugbf3LJosl+SZj6xTf0umKDCyzzLCeYRWBdxIJR4qMQMZCG0SCbPRSW2gBRJjlVhtpgDWc7HnifzxQHW9OSeO4YqvcyNBFrB7h/TA7KJUpZnthwRU645hlcbBF9tbMMAbWoG9FxMmxbBltxsKOLEcYCUZWQm2I81bVWDepLGx3gclAaOBpeNbWidVJVoEMwLA0m6WUkYStOJ1lDAxbLy/2X/7Xx/W343xf/z7x43W8jPH7hfMDCxwDl+Fa1zAzDDwe4w0vv+DX3/C3fxv/+f/y63xZNlea917J4eWIt1ldcmykf24AMIdGjJggRJh1KP91AcRQmaWLBcHa1yCfMazKeOq71RiwXx93tVuKmC4V3cD0eJIapCV6JsGXAsqlCvg/+WrZhW69888ieXRqIOdeWywbJGlY7ppfsQFSaLWVvjf4cSbouWtDrhzMkIB7HZ8gRrpC7YkWqFDhHseDTYRZgl16q8Hm8J2knqbyUWzr8FtrMo3xmrJbObdBUorpH+iblo3OAxxlLAX8zeLtj9IfkvwucaxfaKT6K6FMs9MaUFzmIDTlyZvdBbuWMlC+B+qNPCaumw0OYkwM2li+87INMwey2sTOwksmlhDLIkSkdtO9353kjAhu3dzKjTpqiPHWiFWib6J17g9LADaMLw/jD1xjfP46n594/wUfj4WL57J5GInHwzBo85yv8/FmL7/ZL/8yfvmXebyaTYNlBXgORSR3/dorIoHwEXs4xtMSHgCTfkU4THLP1kBj58hyDCS83yaSGnlT6n1uxtvv3l5ew+23VfVATx58uX7/QlOlkuMIwBd2yNNohrqMMMXvhJdMj4n7TNo7k8OhytxeTBGyX1+DGdsIqv89NL15ETnPMHVI8KIxCevZs4FfuYTiDySwguDtopyyVQTectBCoAwDbiARdSAUXrVSJT3TJEfU7dphJXzPyqGh6k2QoQT25moOdpOSYIu1p4oy22B9bhW+W8V5DYdCNu1yP0XxXAtcsS7YjtmUDsY8YXgQhzc4j0EsTMMYmNPmgTExPXKUDiQiPd9wJiWrWcAAANmz5mCKaFF+s4l1YxGSjIbly2R9CsbABwJrcQyHaZjh5QGMwcPOv13XiecHfr6tKC8yezxsPsa5PheeP36dP/42//Zvx7/8b4/f/uUYjxWVopCm6ODCjQ3pTXR12SPPZoBxaHObOB7uGqN5EikceavDHm8ovts1f7Afzpe1ajbE1TvIbN1OW6pYTvoEWRtlWIxgfht4c9vqR07ykTPmlZifJh6S5zaoOrHyq512g/gVDcJa+Xta2zaoAAVpZ5uJ0+1N4SyJWh2rWFdsgt4fjHTBsk03TKGJt/7nrdu3rGAubpcIIgvI0XWZWDJXA3BXXT2nl9REF8NoROdM9StIR9W1WBQrt2RD71LrPqzCVYsu79P+PfaowB9Um1OEryGWrSWP1T4xYIAXjOTJ9Rx42rIxXs0eGP1Q13B0h2oWhnHwZdghCPOY0RiWJVSUtx11Ay3mkHzYjRpur5qjZZtln4K2ndHf2n+I5LlhmCOhrPiC4fhlvp54e2L+8hxcc9oxAMOPeYxh4zj+5T8/Xn+bv/xj/ON/eXn9daroSzuMam5SYQs0o9J50AukNCQIm61ks6sUNvG3Msa2j/VrsgCGFNp63Fcs0BfWHF2XfLOmUN19k0ObcFdVpkGJang52Ol4g/rOIZGVPdq691eR8O48fH/F9spLcjK4HRmL1kKFbduyZdGdhcGyjtbE2o1mJmES5lwwRrmPt779FUvSy4yGpAtNxuUvSQhlZcKXSiNE1BZS4YlRY2rJB5esWKS1OGBjFIVd7bblaAlQQTpLsAYQ+2PkM3Xo3m2e+5UciYsl4oZO5OO7W0NNLvAcNOPRobCi0tFfP7VhwA6AKwoOPFLmE0ncbXPczvszQWLcWcgUZva/JYplMVOU6XkgK/v7VawF62RVBpnKSscD881efh2PH1g0e9g8YBPzdczDHi/z7//6eP3F3v4+3n6bj7cRMYscYXN0g2bYy0VLFxoKJEko3WA0Ks/Or0sQCgkw02WV8hNCdpugeRZVpmPZTvn8umGLvsblkp+crsmAiby2f57CS11kEmLvbAr7jYfRWsYT7BsG6sHEHblMNKyIXCNrpe5ruP1n70QLTyNAi9DuH6aAq2aoea+iIBqX5ZD1IFejxnuDdhXRWMT3ZIhYnuBQGtE0shqswahGJ9rkom8b5l4YQU2241aKVJlBCCIyCit8s+t0l5LiBjLKgpwoxRfRSt3MSvQviNRYuKuIIYOJqEYDwnSliVo2OI4Mc65mp3oD+m2Ar/EYiOpWAxQLq1dhURlC3F9KLmyPIm0zWqm/e+vZrQo4uvKMK7+uon+/QrSTYTZgYLzgAfsx7R//+/H5Tl4238Z82PHDjoc9Hvj1l/F4Ga+/jPHIKgrxTCRsj7jnjP//eI3YqExrtdOtuamVHidr/w01bg2HNcj4gS0F3Db86Ddb3Ygy9neb9OW29pImxKOloRag1qc+FcdxrRr3Z8R13P76lrzWN2Brsmid9zt+Vavcniv78+U6+6Z7BMiavEK4j3hspVOr/T24sDVm8qO06SKxabK6UWVh+SwcqUpB42t55RN4kVqDFQEAA2ZmE/Lp8Zu+B0rIoPkeLdYRVyavxsAv/fw/frH9VEMpiPSiPF1iAHBos8z2BTmAw+wVGIQBD1hmDzNNElgqZPVwsm/ORsDMWJnIVfClryluRtdGpHsqWzOaePT54WrMJptspMWqbgIw47pipqVixAQYAliKURKgb0B+4ABezf72b/P6JJc93uZ8jPFqc3BMvrzYPDAObjAdJk2PtSogD8020e0m9PblL5VbSPVrWlYaJ+HbJoxB/h4X1w3yCBqc9xtptfZIWfZgbX82NRI9iullgENbJ/cRiulVn5mfO+zTah85loEKk5sGFKw+c3/EXXFCGAoYDZBrvCdCrHfH2lz1C55vo7H+p7VHJp3yY4NlGHZrN7Vf8ijjnhJiln+ZQu7O3OJE9t6Koa2campCQHAZyevC8rU0KtR28Y9o64oOj8oGhUNLYOWurqSZDVXv+JhL4dLWfoHlLaXAjHHnVj6yjayfZaX/wkYf/XhDihYADjPz001oU9tghkfRmq47TcUO0TT94iDmbcFxGNotV5K4EnDey1vyOSJXQVu5502ympSCljtz56wyTP8WSnDjFoWx04Bhv/7LXCdBe3k75jHGw6ntLqp5gT4EpOTGCqlLL5JPhKinbonW7rXWbg0Zq2Bilsns9cEWNumzWsEtmQhLsaOe9633RCanlI4Nh+N6srBWT66dqXcUs4392VtlwRLnG8iJjvtkpY0xiFS8TmAH6p7khOukdf1vpMVmJnuLABQiYrVUA0zcTx5nrwMGLMCHmwHroV/RS5yNMQhS2Z8OhT7ECRXy1MhLizRu56SD11q8fLuC5UVFZGTYIoRviFXlnlxydTxJd9nhEqj9ktRTVETjbgiqqy1omw5lVd8lXRWFtaS8N7P5dLqhxcKKFZ5wsGH2QB3piCEvRsqQfY2J+haxblKcAwyrY+ZBfWqBh9+S05l030qwemvGPD+D1jjbXyzA77N2GY0NxsPS5+4H9EAeBn/9lwlY+GnGodxEBkd9VewFXy/ddhTk8so5u/XLvjz/BkOSPobpo3siMXDjiBMRx8bzug8V7AmbA0l3RGgT/HY0wJ4NdIPLsDe37nXY7UOL56790/ultzZZcp8v9ntJee0bXOoKDRSAy2iFiUxbbcrr3/OOjWpfu/idtjRbm/bnS5++ayfq/67NbLWbNmnsTQpjyfTEnUejGojWNKQ2uYlqVtKnjeSF64nrAi+fd2o/ulEUN7MRLovBOMwwSPjGpG6n6fWMK2afeqrmyN7WigJg7yqw1WrWUFlvC+BElT1cpMzpTWWOysTr9kQHUzuBhsEvWcXka8PSXBuxl3HU5emjNO2TO2Zfo2A7f7cPVSZYgbqQLEpJEj5u8c5KEPWSF6Fwaashdrep/ebZdQAC2BXbPTb6snljCd453nqCPtWFG8SqTJQWRaoGrSfwMBIzqyPau2epKCY0AYnhFPmMLbDS4QSWLO67pauNFENFszOum3zpI+2uzR584oaMUFJBht0SvrkLctnsQukQ2z4K76vFY+9jVG+2iUkb2m4S6/Gsr8QlbqPPb7jd7pH9eqR/u1q+Ii7dgLGu7O0XeQ3J26CXYgGGOBgv5GfB15asC8tPRA08NIrNoZMxjUylKqaZoS1EioKMq9Weub0Yufdv9CysqiEVT9yI+1IZQwF30xownGkHP95EWgVQdWExcvNlaC6cIzWWZhhWoZ7CiQS6fOSNmZab8DkP8/JKK3O/u8n5nhLJVn1Mgk/xUKLqaLKHpwtvy6jpryB3D0yaYQFjWB/nBi16F5rOWoyVyOHic6dPVBSidPYLnnmvCP1UJMJFaAZhtslXmd17PWBXy1Z5sWr3xGRrV3Fl02qiN1zfpBhBdCrc3jpvLWxwq5PRbC6+6LakUaTNHajKZwmuT3gS6KWvJgeymXoppMmahNxkV2NVXXGz8a+Nsio4c3UONpHaQ9Yb/VEdBjCMLXgrDDL2fI8SLSktX9qtghhZ8RhlcDG0W6ss1kUu8ORaXCd4cV1KL7qciww00LfHGw0jvGUzs2WGSQVL3CXiillaTNJid26lNTlk9ZgefSpIG1Rw0wBTnIhJZRjCs2dyPaKltJhIOoKnUqi8WLjmMh8DpRboS286/+RvbIpkTdx0TbuqNOVr5QXNaOSSddHIdk98a74Fyr5y3+U5kgetAYaEjzSykTdm9i6xu9JklJfkws2BoToZOQB5lWnCk+JZlqNTkcuTWQ5ebJEeq3B6BdDatnvqeY5Vc9qkQUXhM82XSCOQQGcokzr5+eq7Ln/7KhNksjV2a9OMY/C6nK6WOclelgJwMcqQAQLjVkHk4r6FD7PLigFKp+Utq+pEZu+ON0kw3j+O30mvnELeLcZd9vYWttBn2tEwoF+e/qUXrWorbQtayZLdr73Oa3ny8SRXHCoIRggHidUp2EjB2Z1awujBFk5G56kzE9yT8ejyyFyQpiHMcpTMObDUl6znpxQ309Msuw96yI4qMHrIW99VYIeb9mKGoJIEkv2t8OFLcCphN11F4WvxqqIiW9SWmrIM3ROPpLUuppPbsyNoyC2vJ6y8+9AolE7xCNkW1rIy4gyBE9Ma1gIKnaYgFgj688PcNtRSeU0jhKMpkTuI4EspdA7yBjqlEdnZxtEQKAsgj7/0wHCLhHE5uIwUJ1SmE2yBRsW/fJeOd8LE5jrEt0bG6gOfwgheJCoNZC1yO21OKUrWCmCi2JgTGBWT5gqjNpT2KxMR4kK/KOlfUO8SVBRP7862jkeEWOohrZTNZMZOVCYkX571HikikZgUxS3HCiDEJJgW6MBrkQtYXEun7IhQZgFWElR8/5I43Axc9cTURfnLlrqdoTKGx5RPr79K5KNZH+0wDrjD0Ty2Anrms4+QJshe9tfNqAihAjji5GHbdLnfC8DMrrAT4mqv6LXMcG6GR+Dm2+x8Zxd1sX2ByrizG75ktpsKTFjuUVD2IKZvuaOe2vKoQRUYbc/LzWxj6+MJoUHTq2h9Mykma6PZAAD5G2mYrA2xEznPhcqy8EbDIqbwqFG2no7Er1UXmIgK1NakfsECPUtVj8FX2m8iYzmiMvYG4Lr8WQOLkaXX/miW7Au5pn/Ftkl0MDKDNZAq6qmm49NZGVljD1Vq+N+8UkZFqb5Zhq5h1Kxv494a2Bq0wtvRFjjBk1oAGDmarS2lI+vxm5LkJeIa+qW4Ll4Xzyfg9RO5O/yCbzVu3Xo6m+oUcfW7REqqahGE9buUZ9psM4DYtDnhJrE+DQltEbHOL88w8zmtNok4DBN2qeQmApEDGQN27DhCPcJSxEqbCo1nMjksiUx16I1kOsC2DhVj/hp6G/Ql8mg2AC1C3IyOARVmYydOxlGg1tAsPbNF8biVXBgKQ2KBJ1cbj0+WPYVszAyuU2KIx3lsTDlY2rkIMlmMctENWjq2tCldhqSCCNbMGAEd5xrGu2BGg+8ZgKRgEr/jOMOWbLjjhj3dBMIietHO7W5GUmMspKvHQcCRbxe4eD5d501JDx0fl+ZhwKaNAG7GBgGArVURTcMybUDhnV3JoDYfdLMwtn6nZwN5IRbwXevum4llEVTj6vJGkPSO1TR/y/zDGLkXJbN04QCW2VC5MuVjb9bFCVNwC5aaKXBJcKJBOovfBtLOxfXkurietKXdSVhn4nq0KvGPkLOzLCZlrFScnlIBMoNZ6jXNuRPXLdkij8pYFGKw65Ml+oHkWowVIwsctCmPckwf0uaP60ei65EQ1DmVAnsjbrVhMaSiHvLzbdT1d0eErlq7SumqbNo9cdG7zXityBHiGt9oBYhrDIUmCaxO9wqkhBQkjsaUJUpz+wBzFl3A3QdgfRDEZucltIAgPCB1vyb+5fcA2jFgltRL5Euq9gwW6sNs2nUujauP1h8UVNDkQk+O73LKSuRky74ZIaJFxwu3rrxwfhILuOhWN49cyBkWzOzgMOOigWPE0rQZqLoVy7JYtctN4kFpcoj/Buu6GFCuvzOoyWOK+c2/CJqTMilJu0bmPplP/Iz/Q5lDrOIx5bj3OEtTWsWcmjI321ij9kvX5flHIoJfmrq246HTRougEbxIsu0xTO9JaJFZq+kMwxcKGPbcrYRub+GUFKzEZ4TUMFI8RKQGiKFsdE7sJXjVNA63eCs/yGaLOWn1Ufn1sP7iWxK7UX0fesFN40FnRfXrq/cVmkz4gaSbct+uNWYuBq07Zu0BHkKuU607SYqRWEZbGW+wBqs5WJvYYiwElnlJjJt4S4+DnZLOq5tmAGieVPMf4dv7NoeriGLt7k5WAWFdQhjKWma9f+SM023UyyMRC/B9M6w+//Lax7F888sT1yfPJ95/B0/Y6WPjgh9NCPM1VMB5njZsvA7P5R8Tx4HjwOsbDBhT2mxpAvRYR8MR+CVObh3zzjOEtTg1WrKj4bzuU5UgR8puYYTvvS3bCEC7fsKwyHqOGjVN+LWbGAYGsYhpjT1N3NcAYaqFT4buimb9O4vM9UUurifWSV6wM+LuTNHqiJoiZFhDEu4bhqnsMy+29ncXrIr3DrXaerlcbfU0S/IKbYcuuC5yrQV6LZoNi6V7vWZq4228Dlm0phDhMDRI6vdIBYVfG8NuWtnJkLcH8cV0CWd8mGi+kxAw32tFRjElKgPKWRKT1QrFMUegxIcE4ZrGuWWI/i8LuzAIi/2GNOVtim5lwNrIFXTZ0LzRpQcOv7pOcUFOyYcZlaH5QmH1ZYuGIqEupdU7eTcvlq31SUPKgyEJZJvH0meQ1p8SlFhYF88PPN95fuDjD+ACLkl+1Pua0RxGr08juf48x2E2bb0YXwwv9vIQK117+047epaPPawjw1C0iWMMpVqRmDS6W/3RVVYjZeV22Aj1RdA32LKgqnocEvElNq0kikTYSW5mIyQQ2fEt3lw9iL6ZB0GwuDyp7REm872DI86LtI+FgSbTZQ2bxPi6pj5vwyyVa3yJhEWM12m/QaETJ5e+Dg7EJkmLZliwIbqry6Vb5TsWhO2fuKjXElUNEXJi5LlQI6jsTTVLg/y1nIdszKwwfHYy9SL9IjYM3mgY7C8Wol4FlH0y5gNP78zoR7xb4E2r7lDCDQtrAVOW08Ottj/ZtAd2z1ao9MdivxzLut30Jr6x+/7pNz7Ygg1TNVZBP+rI+/5w559QNUXVVbfels6IU2pBuqEZzlAyjxH76dKqNipdQxBcXCc+f/LzDz7f+fEHsDRLNQ7DPIZN8+Fea63Tzo/1+ec5XsY4bL0ZfhnGsX5oexevBIeW7KJP35k44AGdpJTI3GjNYp2DAjVFqXlgbtGptE7OHNKEmI1GCuQEveBGvzqbI5adkW9tAFtA7Ny3wTFsjMjXOnBrq1021Uk+uGwT5PJtKJjHVkQIbCWEB/uXL6GLrKT8nfin/KSVP7VNzIrG35m9kGRApjR/AV4P4CWw7jRm3Jlmc5DEIIsoALmY54QawL5EGiBw3E2zCwjLMqfKap3ApoMIYC34zg4U0md/vjFedeXWLzUFfjN1yS7JWujztCRpspzcse1PCPveewtRZgAaF9cy3/fRw45Vo29KHQj3ligLyeV3g2vveGP+10H7qEJS+6ngPYzSmzfb6Ix8ynd9SdJtuqz+16N4v+WK2dPdLg4IQwYGbYE8cX3y4w/8+T/O99/XOg93b+dhc+CYwIEhizLMLqzrXD//4xwPmy8GPMbkGFiXmS+nusABGxHkHvfRxhCqxladH6LDShulG1YpdBF/A2Z/15bABYky7pWX9jfSVp8tdjICcbaGM3QYPSsX36p0kwCWO1EVhctV4rYPPBjgz7qAi7YWclNyw1IunasYTcSxQ8swZuN6GHsPpQNfcj8FcxuNmv6yYnnbXdG+Qf+FufBmdOas66G8zzwEvZseRnS/SehBBQNh9XkPMvccYDTUZSFdEGMf8g3FZMEtzV0bGuQduCNi8Yi0oWkJsGUbkfJqX0FBtWTtE12hKGyjykYkALsbKqPPBmBK2vgTRgtvS95dmBmWBy16Ci0tEDkL/8snCjUwFV/othryRuIMrhZ7SvHSAu6Ur4q3r7HM7GslJpX3bekx268O07fIE9eTzw8838mLGBFb4TSzrJUxM9g084rw6ccQO/eN5FoWociIAqr2p5sq79AmDmkF6iNr/OmY08VDIlDp7Uze1DME4g33UNxrQVqY3WRVZGy7B5uop1xtNZm5b0Sa6kusUsOzxk558W5RkhZUoCHHY7Q8LbxFKbLZ9kGMV27KRmzdeB/ovaStUQV1G4V4UQjh1K15Xi32rs60ebj/Nhwhd02NzTKz09KIjfM9HFMcNiBL99EQA9SceOOA1WX7m/YKjlx1Juj3122k0gwykVehoZBiWnMaraIbHUjac4IA5KBhZRkW0NM7owbmflyg0QJMJ+0lfnyRw/7YcuER/k9zNK10KMmQRyF238BQw2/EaehjWyPVBe9B5puokXaD07rD7W6HnuvE+cTzHc93Pt+xzoVhmMbFcQBRKmg2MA+zw/BY822+/n2MCZuwF2D4+fDgMp84WMw770F7ZdyL/Zan8AX2UT0dUejGRDlgH8Hm41CS3pjGRu2db81shPqhpKtTt5/jWHZBGF0glvPAvWsSpA0ZXKqXVkEjorcezmAa8h2CRkRHlNfIGIHsyC1ugi4DJjkVETNalDs5b9TtiBGugCUgZXwMbt6s1jK2pjZT0hwXHFUB0AeHFgRQJzvXmG7yzdQUQ1z7SlBsu6B91BrwoGTeUgIrI7JjfvdYgmcsusr26tMkxPcTgX2cQdIBDIwJ3xvJFWatIH9MKQx2aK7LII1iz0bCq4iAHfqjZ+oBo1/xXwuz5+k4CJQAGMcClfClSJnCW06+PN9bOH7Sp1VNqk1p0wDNsnqbnuocqZxImcjE5IyBNq61zpPn51qnF1WARkyuZXbgIsD1eNg0GAYGxmNM8uVaPm30vTbllTDSf5FoJhBzMJgNSQk0b1NyzAGP5eD6mHKpvN+jpNtSQsipFfk70HdbNlfL1JBVWZ8WB7ZM+4k2umQ3/5uFsJx2pW8XlUCGHH+DDUqkvPkZpdRgTBet4EDt7/JtiMJR3x1+OIwpECbwCpFRz02sTh/PYpJD2FJP8yLUHEb9SCGB35VdDdkPsCS2Q7C5tP9TV9qaeqvhfeNp78rIEehjQlO4smDB03wC1YNw6xKAd32wmn59hY8+bOrJ+lJhoNBig/hRd1t0RJjmKpclwYkL+/PyuTdHxq3ZgI5iknS7DshkftndYvf4GUWCaWcaVSNxCiUVoGUqW3KjvS2tKe2JpIRJN/vsrj/TVFGsPFcYGKtLAGqdQWdNRbyTh2k2QpTZrlzLfSjHEFsX81ZbpOExMAx2wgbtghnGxPFwtKXOaHAEClIbS1EcAtq0vFvIbaYfX1snhjw50S4Iv8etS0K7BU73vuG/nrCzNgUjSNz9vi0xnNigMUvG1UbwQn/XrxQzhc+M0AkQMFTswlIFu0gbhmEMswHmKWLh/MeDN3Vofc5etDO/d17ciCECJn6lNa/Yxga9QZf6m2GkE0NDQIxg2y+MaUwzhJzGxhrl0nnw679sVIBm6NTr24D+6tWw635HCGVmQ6Tc2yy+bBky9OTH31W5Idu1uEEyYb6OXZ6PHbn0O43r5sHE79VCL9bzDzGVXWk8243Vgco2dWX7+tLw+ictkrbdreVBeb17UcpSMW41gFaICW2KO4TXbP0tE90ULHtGnBeeF55PnCcJjIn5AH8HCHil5cA67cSI0M66eNmcGLBxiICyf8uwzDfdbNvWOizIr9RBy3SvuCYmNyNpwtxN4wr2hDM+eFNoKmwLs6qL8DOg/L69Kfbf29OTUArREzGEJvIdMXbbHrZzf9oo7YxDtljsl39qw8CW4oNhPGB+GKoWAMXPEaAVVjjjF05ifieY1gQsKb1QytevpawJ272l7N/IvCl/tT1IwgdBy7EF3GRdfSlEET1bzPsZ2s9VGyYVCKb5sETMDZ5uKMXG/fpU08bOgLSVcTGpQHF+1Q10pUduiRLK8G5y4fYhd6hNIbMUNtLA0e5KkWyPtGF+RqkNyjn/4oW5auznpo0Ws919BedDm3jCOi8hZ06QFJ/KFTcdA6bZVbf0kJVLFbAKGDW7KldBsmyZewmPCevE5zvPT64TBgw/iG/4BglWOafLeGGdDGNjQ0QTHukhNC6jRxpHUsQUJdzEhTkNyC4GzNYG6FwOUEI6jTC9A/3dwIfNZpmQLfTLP2vYmkkkk+bIRzeiLQiQMMiabOEYSbsshsYKiVtuYEdlHGNqrTA2lBX1E2CH/DF3eG148WhgFiXqXezV7SCxvENtnSUO7CcbNN1lfVKRma72TZTT0bFbtL7FdBKdCo0kD0dGBqJj3EE0aZ72trFxtxatb4LVHojOkJRMqERHHdoEsmS5Wg3YJGYf+m6xQPkR4kA+fbvK2ic5Q/OBioVVCibtBjL7u6PwBoTG2JdQ+BXy2mKWGgilhhKMRJF79YR9Q+y7ox8q1actWul46YKWapU+MGiQPYDAMLORu8SFwIWbEs1xLVwnPt/X9cl1YgBjOIQxNthbESXk4iKuy7ehgx1x7HvNYIfHWwLFgmiaHdX4XZha/LSxpFE19TrloCGI5bs2Rut/RUQ8I5+5xDv10zZV//rqTm4zBMVi+bvZtXifJfJ1alJAWDyTIuzXZ3pvhyNVHPZuZjZoA2PE1pkSGjXcTIK680XDbnLnAmO71dWV+ae1z7Fd2+VLap64YZ26APr66qB/m0hml5dYmNKeE0sf8pBrJLuk8OSNEWIHTXMYEHnkTyPCN1HHvvF7teHXeTDbp4i5edBX2nzzUu8idNgPO4QBHHmgvEc5YwOBROdlGdjNuC3CD0HSybRoIh+ZumcJ14lggJlmATVTLsy65+YlLCXs+4iXOEZA2xUTWFiMwsGgm0DDR2Q1takp5AbUjYjB9tA9ksR18nzn9Tuff1zXJwfGY8Iedrysa2BdNNgYdjxwvNl4xZwY03XJAuyM8gjMpjYIc8Urj7jxUepEpZ6xe2aKS8eV2KiaYykKluw0NZFGZTB2C2bFa1h3GQoad0CtdXx9IF12s2UFBKOBrMre9mQXfqU4WCOAT3tDtGSTjGP6gbi1I4s3NmZaXDM0CiSVnBAZJLnB8kZc/MUH/ydfObe+NVS7lBginC8OBZs117DGLrOd9YidsaP9nENKXuL4YB+5L3FQrEIttfDdFo4RUd05To3Ne0wzK8dQxerLovbxliOxTV/Di2ClQC0Aiyb+5hywUbE1175b+QgNJurgdt/AWjlH/pJipvBUw4nsPbXsar5EO2sP0MhDLVUn1GbiSfP0aLxQRIRFxipuGm/1TdHXeUvVA19YF9e5sOCbr3NiLsxZFJ7TjgeOFxuvNmyNQRsqR59STrPhH3rIWYywkWjU+1AVFEXPkRQPOS8RQUpywkC2ZabsRPsMkYBkca/PLeqd3635vZ68XZW87W5ZvvK43eZqWhKdCXwh/YlfZtSmaIiyqoimUN+ivK3C1gwYG8wXgxpsCDZE3iZhGUrUBYl14kvN9SGhyqwRUwXzOz2G6vydrNF4htOt7EnBxaGpho8lJgem3UBaW9ZutbLBaSlz2DF2alRox80H/a0FfbZOW+//cAm1GAUvH2rf2YTIxRNJ3nb4W+tTS00Y8urNBlYUTDreQdlBmn1XNcPWuPfDt6u+O5YpmxYpU0c5mjEVVc/U3eVQ5ANDXpw7+8S06XEFf70mW0qZc2TtLOwDZhpZ1P8ba3rYSL+d9iCihus64Uu7RxRHBJEP38/JYMZ54OUHjl/GfDMPjw2zMTEmj4d3CGYwPwd+RuJ/DHb86jTfqzaRE36pNDS62hYtvJJaMBvXb6vuMzplhEW5Ru1A3eOQ/veEmU7Eie5YXSWo7DLfBMRlblPhtGoIHQi/P9EljoDsq4Z9YZD/zBVpfXOyhJsgUR1ZMVRWbG0LS67Wbb9bM4/ADDLilF0hb6ZVXNvWBZW0WsdAFI7vcGLbH4lf7kUdpeqZ26JyEF8wswC4OpO/zfZPY7sHwqUj4b1Cgk0KusLmh9Yvqx0u1SFi+emHBeUqIHIKEK39oFxEqVwO3MypcnMEhghh89b8ezUb2C/I2VpSonegumHZzYwhWd7SacxEJna6JmF40W3wdAlQ1LeVEqB8jzRivo7ASSsAW2GvYosqW8qq1wNrRldueQ7N8W/ZOsnTiWtQGcoE5oMALvMEJR8/bL5gHLQ14poD88DxEiv1RhayPOhgaDMcBAet7dGIcWp8ECI07uhKNtTqe3rnXfuUzoQO7fBzv3Jkkkt2ydPWw2SemgpWP/fHeadNJUK0Yba0IXTNSkI2W1Qlm1210BK+fZhZTjnppKow2Yo5sdGGEvUuqgM2pRkiJBHFBlbt3Rf6hXfScLlo3okftNxMcuHGN2CCUIDv6MYvFx/3ZiDnkWrFBA5SEW7egC7pgOcKtDI3DWppW515ajUUCUKobJFAp2dVrrMo0gDXtRhVHNWAVomrErkwAeHw5McCAssnpS4HHskINvwqTUkvL4+itJaJzlHnTwaibvwL/+tmfvbnZWLRoQMwL3/1xwj+OpRtL02S001otiSblrVweqZ3Q+YGfWw2x4RipFzDpPPgGL4/H8YD82HzxeYMPDIvsJw2D8wZBeNVizdVkdeq/yrc2qHBoSMEVdajxRATaUuEEqL8gpKoCNtLanKqhVLKzb7pW5kGaKoh8kttiyVhRcvGRcNUGMpcmpuG6TlKA4XiNIDYoKTu9B6EzbZING1Bujb5cJ40rIk3d4ln+oxKgnd4yp5ZYWA1pC/1v1l9oyHk7DNGkQ8XPTtO6PiP1msHV91FhKnwssTNckHdtySX0GMtPyiFJHznMhomBrPebqNRPli/t+cEt/3Qo2WhtRVoS2aUdfsGwDuN3J/odmajNMT2m1gYcG3tFXSb+u3YFNNJhUea2kcsfyU0hbr7c1ZFpr9/eV7kWqh9ysyXWDfNkoDVrqToe8vmdFnDCiclcSFp2PQX8nx3eqbE0ita4wIOYIELmAcMWAPHj3G84PHmpUmA2Ricw44H5os9XoFpTnB3xMbDqnM1DL1ZjepJsSYBG9EU8qA0oG623p44REAOvbaEzlmcdde4mKWmilgdZP3i1SQq1GWDKZPExDLKDRh295NtQiWmmFh7+ZB9qeVaXkM2HL+GNkFDqvc3Wg1U6Ub2dhtOkn7tLXTq9/BGe/21ipZ5SddnI2xqp4AJOgpXMwRn0gLC9haYeJqSeafnmdMZAABcCyDGmKTxwsefz3WBXOPAOOzxMq9BxoqZTo+qA+6hNvUwoCD65LvRwbdUp/vSG3Xp5rQid18A0S+z70T9RvyvHyvIEmLUacQgS4zEYBVYMAEELSuzBGEtYNtzD0AzldUrMA45unxDlanSXeUhUPlEb9abqiRUSgHT9EglilqpG3kDw1rVRM4T9iSGr+I2Auy79Jnv6PJqeIDE8WbzxR5vgO+OsDCHzWnzESjmNsNjNDYw54h4V1A3C9DdCEdtg6VLkHEX5PY3SbjUtl3f2pFA+tnuHPQqUFEkz+20SoJGsJzZfHtpKtTg7qa4cmVunrfTlzllgVyQjDAbkGEPQPkwE+6Ft0HDcryKrRs9udH87+gTsTlmKYMysdHXUo9dhTMcmUPeel5jSojK5RBlQTMJI0ApkoiMhG9dx06tA8331TebAWE+U5cEdbSbrV+0iOsEF+YxsWyd+Ph5Xufixflq84ExbRCYX8KortkiVSl9SibqWx/lClnPOa746vjaDGVzOHM8hTGdjftFAiW93bpWFjG62JaNp5UV2Btzf2KRy3df3jj+1SaZNVLUVAOxcbNvRL+k0QrTC48kBHEUQspvH556tIRfbTbQxTX7SdtieCYWaCWhWlT/zQwD4yU+mK+YDzteokCahjlsHjYPjGnj8EhjltRZ7HxXbPN6O9c3KmVuG/8MyFXepSNQYraY6gjQh1fldLnA1SxwQnbL0t6MPpW5c8+yv00Xd3tULlWp2jcOeMmjfG5J0Q0iurkrb8S9SJp2bTLHL2yyH6zjN49HiJcTqkS1+JLvkpaV9uxmlO3+rwO09lwWz9oTcU9pVmjmGCjwpkquei7SFsyMLZZHWR5nES+QuE788Qc+PzlsnU8+P9Y//8d5PRev9fKLPd7w69/Xj9+OH78eHvXtyO7qs8GH92dkfgdQrRUBPyFijeo2ENvDWZwnXKZviwruMcX6mcRMvKesW+tqNmeKCwYNrLG/4CoYH2P0zuep7j7DTvOBPYIHLQ5Xf1a4bnattS5e5/IY0aCiWwwp8RBkpb8lsV8sKSLaqx03BO2m3sWHDOq2D31knsZasGnGWAkPwHOsh287MW3+Ihw4MKbNF50DgDh0dR4xtXzE3TJYK8aWsmFyTExY7Z7vrnbttUtyaax1XpU4pM8Rx/SZjdqwrU/TUQqpKU0Ch+nSFgmVRHyxVCxwzSFW5++jCRRLK5G99bL8+s7lwYBHmq7aIFPHxCp/altz+T5Dd1/mmboijefuL+1h+CJr91y+g/XUmO8qdXXBXSxhOCr1EYZW/c5SIdYdkT3RyGJzsgvXhfMT7/+xfv5JXnx+8vlx/fPfr3XRyNcPe3k1nMQ1jNfjwTFjRpDZSSE79y4LLTRCqZmLi7vIMk2BE1u9vlnjAev/5jWzWJG0S00vM9BIXtHIL6xgfwhgNTdUDN7nkeEl3tJiQl55GKjInlqIZvK4ZbOsN2iKoPbVYv8jIROMaW2Ie59pqpma2mY4KQ8FLx8lKrlghuHpgGHzMcYDNnGMKKL1uvB5hL5FpAkY08M0hhvYsgZlKYK5okXFQHl2hmL1u8ptcw6r+ZakY7NqUKYqxpbr+4N4ZQZ2fMmJlKU0BEy2AJb4uul7yU3rZ82IN7FAWmxGHT0RaVw3hZXaUpI9JsJAFoaIZ3ILLMfVYiL9+dYYoQ82e1jKUmrQULbbzSLz9y91ILuydQECH7HM9e/wwHPpUlSadNEJCpdo15YHxgvXievJzz/x5//n+uf/vJ7v6/nJz4/1+++LxDHHjx/j8WrrHetp14kff8MxcvcaTVFy8F3+9PCYurYshZuf8g0XMYgTBP1oy+rrzoNvQ2CNSCkswR+WgNat/mGkXG2bU7iQ+czE9kcxQjTajITgageBJX8bIOb4IRDxAzTmUCniCBTr5t7yeOPAdcOidvXQdVQHmsMlm5qWi2tbdILMCQ3pdwDDCKds+B4pA8cbxsPGYfOwVgqOMWE6AXgQg77epUyVdjP/GscfGG25fncS7O4r0J23dqpNdjWG4zq/AvqaK13YLMgrA+FiYC125FQsbLcEoBixvq1+dFtTEqPG0uu7DbPZRnFR8YHM2qwwUuGZmsUCo3huOiMKkFpSRjm/EpkEufD9dFfPZTTEJrLYoKtw0GkTsTaqvGinSOpZTaG+oqP7EEQuMDLjivl2QnD2ND9y5AuVXliL12kf7/h8xz//+/Xf/u+f//7/ep6f9nyuz+f6+LimjbfXl+ux5sH/eL3+/gf+8WH/6X9/HQcJzrZv5I2vfTg1HZctzl0YBoCBZUAcVBMHCMWIJ757fcGvv/iOaRoFggbz05GvpXybBOVLt/EFv+JXAVh/4Ox/Vcyp25/QYxfIQ2JZR+xI8kY6ExU3CQ/FYDPKEnxKq/V+6QQ1tsvWJTmb3Q4Jc+le5FoYA/NhxyuOtzke9vLrGBNj2nhMH7VPEIbMlgGTGH4K7NRiblh4JCWKNQ24kBstEbmHCMINSTpU1s+3udAUa8xWu8xIu7vzUuNzOgQODclmMEErTtLKM5nUcUcMC1J7BWbP1azyXIp7iZ/9Ze05QEumpHiYNGJHAn/QJh57UMWCbNY+ABwHY/LSx1LycHuVzkY09TZ3767E/eMyVPvDTF/xC1n7TMlfsWtr4RZjrNurOmJql/JE8Pzk509+/MGfv6+fv6/nB85zPc91XaDhXFyfywbWx3W8Xi8/jvOJ+bBxcGQYQQVgG2kUPXVF+RJtDB+nGDREvBWeR8VTdxMdfGPNTvYHtzGnhUWwkAiN9RMZZLyK7KKhlUlLfrGQLJ9DADGN8ubGN32R5GqWQ9/cIau7opsVuPPBC4tYj4vJkzKjIHNe7HzwjlcKogaW93vdkm6LJCVt2DhwvNrxZr4LfpzdMUHm6U/0+hG/fxgGbQwtb7mxIaFUQ6fcAeQJemEDWbJxn+TJ/ZIU3JYApkVGawFqt67aVBq9hexplzInuaIHcX07HbB3oL2RPJmGIb441Ioi4TCSip1lwRuTAJmFSNKyPy4SvyHabSPjbLesWYvfSxKKKdvL2te7wnYglrWMcRU/vmBAfdM/Uif9dQSlaqdFqzXHO5+qnwS9LmvhOvn+z/Xnf6w//sf645/rj9/Xx/vyw9BfHy+EfXys6zpp63yAdmFcf/5z0cbrD/O5hNFGbsi5D8ExYgXLdhFqUOvTqCVCZz0cFz0ploS3js78Qp6GaKEwArDMLV2L18I6FV3PcJxrRwBJM6iueo6Wi/1p8NOLDbH6rkrsocCcxKYFOAO3Jqzt91iWN0ZI0LBgF7ZHqmpNupUGkr2Rr3KUqq0oyhdjbBgTj7dh47CHttnRAqZQlRE+yQgkhhm064s2ineJtk3uEvnZslSFMxCHUP27DcFaUKg+K+akPcqL7MulWgWSJFeX7lfHlwFeq3VG7uNXs2mZ97sBd0lpZ2TNeQVgipZGPUUMJpK4fRx/9ZK5L/f9BvVSrq2X3buRlalvuJkhNivAxuKv1Kgvmjrm2O8ieizV0KzQV45xR+3B7tQFcJ4Xnh98//3689+fP//J9z/w+c7n05Nl43HMx3HgwnVei2MZ1sn3f17/HB//8R9v1wBhr+Q6gAfZjlnKh9xsVwAa3QKnq5EFeOEyL4DTd3ehMAVjZSQkblFQKmEn9DKf6iKIufQnsgrtSvLmdjocksCmAiYJ3I59BprbT4Arli2ZUUVI6kjoriw6AA/eK+7OtMCKxlQncuVHeigDCGCUP+iGS6Z45aTmbgzDB0krkuIR/4wAfJ32McxmPMt7NzLp4S/tmRUzSvONpBv8ZjBMBFjRU3OwjcCZ5fBiVX38QVyjJTHLHQnaUMcBdYWOowy3sF+OPsCVZojFaKEza+kJVlgqYdW55flpKZ60vVvQirAHGoV3nW4nTJBbwbOeSoZVqfa4sQqo+LY7PuqxNfTLZN1mEaMnW1wk7c3mSnwxHWU1Av80g7O0QAVUHSwLtPdRhCIYutd47LaCEgyhp1aUBB9DCkBgXbiefL6vz5/r853Pz3GdvBa4MKbNMaeNZVwLV+yLi+cHf/5x/fE7x2MdxxgTjOptTRM35RGbukl2W8QkStHQYGtgANcAQK40VgYQywxaPuksW7aRLnmu3FsJGOOZywOAXoPZ7JFlZUO7IwSmWYO05L5rFkvEw2gqwxG3lsGOHIHXLiig81dmTNNzwWE4ipp7UEpARZZ2s5bSVm0FH/Z3m831APKYvhe74GEF4ZroF5QHv1s+VTMg6aXq0JY67IIZKbi2MXJLS0L+guZG7pJUD2oU/sPqfTn6mW5JCQvUMTHrRnU9O2nmzF0UfdVCv5aaCNoGRc39YFLFHxzpo1vdaO9J4nW110RFPK+vCyxSFPqUnikAdg/Q7mivfuwa3BpqyhFf3SMH+ry13dgjPUp9ytEdbRgilQeoBcUpAHkgKwxY/Hzi/X29/8nzc1xPnifAOQ02H2OMaQZiLX6u68QiMMzO0+x9/D//b3/+/Odx/q/H+Z/G2w87jjnsa+idt9+4CY0+aty0YbYG7HGNWK+n275oO9ddmKXizT8qRbb63rCMM0LmlhHljSOt2CZPIG+SoM/J5YeJDLMrjOcYKwMUgZpglMq4B4IvnCe/+buCIGZdgwkLSMhFKdXvuHlz8tXhWj8sxS75hgFjgFCNtVfpW/UtqcSedNvgvh0P5f+7vpHQnrNjII6pTxcsla+wMcpOlz+IxY40CWkcNihIrjH9YIeQRqLIFFxdpoI4Df4ILRth0zrLJ1Z6UUv57mGSlMPU1gAfEYwdccWHnD/qxqJJUFlFIw2G7kPZ7tVZDvcvEyMbgUxpk+Dghq5W1ye5OugXlLaXfXnTPsikzeEjr6yTvqDJic1l1KHCcIN4XTgvfH6u63NdT99cOOZai+QCjee5Tl5XTFoGFsaJ3//f71jHfHmdLw/Y+OUXHhOYN5S+UaBpQ8v557CpKIgZxrCMVgeD6ijR3enYDFJxkxIh86Fa1q81d0CzGS8pyF6ioq6b0YjM6qoJHJeF1mqPSQNznwYn9XB3wvfVamtditfdx0mKheWmn/Ue82ACxMTmYRZGc6N/FoSZpEXI2PU5pHebIenvDK9ln0WeeqpSCeEZmiI/ysUEpKa0jzrvRfjVygBZXSC2FX57kswfKSMeaQH2NpiUYDcQPsG9ZZo1cH/sosGXKHqGXOzfPI7efAyGpllXP4s9pVE39MqmTEfdTWcpsn7VNe1WrYpvYrPTMYlhAX13U5mWzupno2TXuE4oVMdCX8pmRNiD3QloXQxP2FRKYwbguD3IElUbBBBYg4lubr/PhefJz+d1fnI9wctzdbHLMMELuNZ1rmuBND+iGHbi9//2sdZj/DJef5vjYeeTj5fdlbaNQEkZCX7KbAYu/fKYaQ+LQzwgb8OPBV3Fx4Iu8xL5vZovLjO5oMuoikrzUXg1QPJutBSIEcNaIoobkAGkb7Bla/E6JcuuK/Sz6GHTd9wizKveYwZfljfROcWh2G2JmYi8TwTjkgC1gaW19M0GuAHSt6lwn0RNdbxIqe+sh1TCEfJpoJlhVRi94vRGbfTG3HfWb2FeHZvEIEIzkDGQOFQ3LK2VyCtvp7oZFCmE2iFDfxSq6Umr32Yb0ZyNV4ar5HwyoXybClmEU2G9paVb7rmCbnENiPKhRh8GJgc3LagvwVO9q6UL0CIz377Y39qWSyHQDgPoBKw/y8ApHNXQLkflQUaNqUP2PUNQVC8/3g4M+AJaOY0lVQrV+IxjVPWgGcjr8zrfz88/n9cnrk/jc66L5HVeCxzDjovrWueTn7r/sDXGsJfxKz/4P/8fH7/+y/F4tbWmQnHCz3ifruFXCpeYGVTzCoQRdNGgK4YHrjI6LmnSuURihgHkJd/TYru3fSIAAHZhLkxq34dpvj/MzjZY5TDjc/e/PFZ4XXad5GXnh5OZi7FWcU6OiXlgDoxhc3Icfmq8//P87Jdk9lfalBXl1hMkUctg1+cJVPaF6AwByfnnEklKKZ1cS5QwYZcrzMinWewoG8W+lVGrftVqU2A2bzETlkwOBXvodormh+hs/qJa5u0T3IaZPWhkub/aDR23tXRsgSvjRl/5ZNubiljul6zN52lxPiCsdQiu3S6pq9DUOQqiAQCzuWrBjBYgww01v+v51qOtF7oyYb9ZALZnLoMv4RfKVlIpxOY7UK2PtucdTr+cpxsUzl5JAOQVrBld7Js2EfMBXn6l/GH44SqXb8ECmO8vQ9JPe+IJXgQxfNYUYHSnWXRb+1DBNA3ZfRD/SK5x0CBmUDccFKtNMWGZWHmzVZFTHWrOgiV+BQksH5r9oeAyoNMPWl5XnLF4XbhOWxevpy2SpG9TwwU+MC4YYNNAWnG6m84aS0MqiZ8bVwfRXE9e3VQiKmjSFb1p8LZLgn9VJrXZSaPMbLKgcE1x/5qkemDP4YZZ5ttUEsCwcD9z9g5NUBXCb5kOxGhLUlNkmp/RLm/4XyNMbSv50iAFf+lml80rAPH7Xb59lJpNy6YmazIg4//F1EHJ8s6RDSu9mU0dM1OYEp1hTwGCk7zp/gZ17TmyQv3h+oz5lX25/t5GIuB91lnjUOoTgVTK4rQ+NJuYbzcd67B/TLQWgpM0Itx9C75mh0MqwTnwmPZyzA8Pt1w0P7TmMbiwrgVexHXxGZsPeJEjYKH4w3xvzmN6Vr2v7lRUaXMgzHmW28u0wzvKa7CdDPqsWQS176m9Al9igiu3L230M1LbcowFQ+4sai2Oy6JhwrrPO8kFX8kQiP58Yp1YT5w/sRa9VnYRi3y5cEwDwIPTQ4S0GQdbts2SrQ26djFwESUMwyudVGot6sU761YuU58N7wuu4vsGyyVe8T6ORnAStu3bfEVxXkZFm7kQG5szNucZtSIKA7Cp9DHA2hnOVgF2/B+52bbiwayAIy5Jl1iKwNRiJpekI7vmba6QLrHGBRdRbR8SFw3fZ7nDjSRTXOgGr0tPPNVQtxR+LU0SjbbuycdhiMNrUiLLcGQj33t91m3C9l2nhxI5IoyaVNjZbren0diCdNG1JidJWGQVmwHGpbV7xTB25kU/jmxnY1YpcJ/r17cGvP04+Innb+uf/+2DJJ5mFwZt+mmYgydJrBXnBY7jmDbWmIu4AMyJqbXBxQe9542S3qWeyHD93TcLC6G0fThfOSL40y53uVsmWAYVMpGyjQT86GnLQym6Wfne8Di1eHGduE5ep10LzyeuJ9aT5zvXIhfWFQuWBoEDY2C5RKZ1S4+yuSbU883CbepSZEw587Cdg4yvD24aRoVwICo2AGAbR4shRrqw0Bs5G4mFx7G1sY2VaRiG8+GlN1zavUt+iZfFjagss6gYXmM1ayYL2y1rALLPX6kyvKXQYSYEKNESAar7TrtvIjsJq2wEh4I3ohp7AjFtWeYtNMxkTb3ralUPbVdsN6RhR9FYDBEz8oZb02pu0a2L9Ws1l+MGBXtT+Z3QxGcsX7vcCBN9g7V2UI3p3f7AIakPGpcJ2Ega3/MIQQ7bUga5lMFs6xKj1TnteBkvP+Z8sXHQjxmN2jrznHpsUgfAC4DmwBign2o4zGbYjXie7YPMIHMzYv29Ftw3MYlf1jlRX4e7kUV+CWJJzKqa2pus8Sf3Oxvs9qROKkEySV64Ll6xMB7rietJ9/uuC/Rll9O8mE6LtbMpK+OfFED6IkiedbkTE2OCwY1gPaRGgaWIFxp/S/eVLIW8R+xRe8imkTcgCu5zpqm2FhHLcVnXQ2ul4uWgHJm63JyC4axR5rgPt0i1q0fLfe0q2saW0QPbiOKGjJuapfO7VQJsNiAjb3bv3RdQYpPuHQyEV0Je5KFV0TSs+BUkrNCuhpVes89hC4SZ2x/ASoBEIrt5o21EGrF3j10mSRHZaoZQ4+7tCRXDA6gr0pXbgaBVizU75O96XVhRswD9VodUJKaN9fIG+7eXv/8Om8/f//vvY8xhw4ZdK8R2DDsew09IeX3Mx2M+jnFeP3ERtPH4MR9YuG771n33OBhafD/Hk3az1eBBKFZ0FXFqWqNIX4Z4NOWp5yVrkeZuplzFr8DZLnliAyXpEWc+cT5xfuI8cX7i+sA6eX1gXT6figbW5GV2nTgeQOY9K4YdqHCTJWNtde2fu8rSCr+SsTd2p2DW0CxWJjvtlm03K09LU2LTKE/HlDU0hXpSu1UoZXR7xjx70W/0fescv3z7DQC0CqRdrpPCjfI7lAlIF6EkOEjTQaOu1A5oLVInm5FHbm0nACUc7AayK7vtf9bfVaa3vTrsmeSPNwDZ23PzULstSdjT3oWhTmzNO9Ga/qputr9pPf/r3pBfMksmwJGpuz9q69UuyS4NqYYhNgi70dROdmoBvkayemttttBPVPZ7WEaBwJjEw7jw9vdxXfNv//WxDAA/f17EmuDgOex6eQxbc9h4HY/HnMcxH6/2+o/5t//68rd/ffnx2xHRfKbRkbEKcvvnDFkm8pAPmG9JyU6RsLY73YhVzleqcRmJALVF2Q/fSBBQ8rZS3G31C5J0VqDZzRVhwBW3+mHX5yeuJ89POoStp48oIkl0HQ9Km9AnosByeQixA1Kn3MwmxiWamA4sQhjhFj80ShA2UEZ6V8UICLPi65wTldgH6nmEM8P4JLwOtPhq8CO/WhoXNJ0HEtxrUKtLfDN+kd30s0dhdvnZwKvEge13KntgaRgk43ZtnwhbOX9fneLbH/pVGGDDUvK8fT0hssyxpaMpH5D215pNtS7kG2537MvgYPbE6i3Qup/y4b9Ttr+OJE1kXXlHZd5IYRKh77/vXoOHPpXnjjlSl3lIwhGZExfhw1g0yNmS04f5U89hwL3B18QBB/H6m11r/PpfHp8/z/Vc1/MCFheHXXOsx2F2jcn5MudjzuOwx2/jl385/vG/vP7698fbj2ljVYJs34Fzk8iksmyuuv0XM4oMZqrzVdSS/rbKnKLdlQe4oS3kt+Iy2unYsOpDCWkJU7+LtHXZda7rMw5bvJ5cJ3z/2hyOTBDynBltWGWCT3G+x90KhEJeEplM7JTpkqU3CC2bppUuI0kdWFEH520E00CNelhVD3KTM81p3MmyMbY1AwAszwWL528p0W9ZHIOKug2BgzraxaObl2rPysi3L+S/tB8Nd/bt7NmaasinUdxFUuaongUFkxi1Mh4wCNIySsQilmmdxmVBgiMplWl+sndpjPZdOqwPTP3d4Dtp2Hwt4cWdmgmzjQZyifSYhvq2wS2DGIleUk8hTi/cDOnTREr7hYkkvp9xw4rwj0a/DgB89yWY4e03jIfNx3E87Jd/nX/+z/n++/n++/PxPBbm9bDPP8910o5rHDhexn/9v/7tH//58Z//t5df/z6OB48JN07fQ3XHrxwFI6S5RA0g/DJmkCQx1zznKNRJfTORVLccCVrarTO0bO3z1CY5u97Ut5YKYgDCBXu+4/mO6+T1gfMEL1DrilLx1jQ7DNNwmE2zGd5KbIbhqiqMinujCnaTp8SURrSuUeSWhfJRttGJzsilX9vd8UvrzSGrEOpHZeh8gZQXSQwDBgdsHNOGKSuZDKynOFuXJtf5rQ2MpJQHkxHbkVRQKbXLsGJZ5b7HRHu3O4LuMQuj/ZYKgYX2mCBke212DJ2Qdr/I3zCTmAUaJgBy/Wyd3rJHw6XRyL4JS7Irn5ACHsh06/WNz6N1OFH8Cwiz/7FjXvvuu2nKfmvb829htaMkerdyxhX3Lr+8qOUtHxpv77E/MTY1gMqj1etmjQcGcDwMMP42fv1PNg7Ol/H41R6/2tvnWoY15+fP57o4OB6P+fI2/vafHr/+Y76+2TE5h3YHyHhKo1BBdnuz2cWw8FXtZ6KgwiZZPNmork3P0jqFHR/IRY8ZXUYlOJXzqy5GqJoqMNO3hrIVXAvXxevk9cR1cj25LvLyAg6gtmg0I8fEmL7NvK+aRndXGm0kke7ODGOF1DM/lnVCVQrhCZbYvShLDdTzlPixZ1dzNppx3bDzluHbYqJTfq1YrXEo6ezuZO3GoaBaf0wNAJGx3LphIXVhhbRDheYI3sLmaXhraSLFnOB6EIGGKliRJMmTNtS6DintlvS25LUBWToSffEH6X65Eqyb/P58wO3zkkNFvpJEmmiqtooEI6aIyoMp7FO6IVfuBin7q/isn1vMa8MZvcn53C1AZulS9RY1GBYSW+hr+k95p+iivyguAGZHfxjbceQ+kJQG2yxldMS3en282jiGHcQcr/+wl7+vzz/Pz5/X+UHAOB7Pz+d1rfP9Oh728jr+8V8eP34dL6845hom69Ln7oipCzpz60eGg4h1ty0C2yz8BsjYkXf0PUbkizlGr4reZ6Anzlrv8x1XvjhZp7yYCBZ97Ykf7LR4Pnl+8vzwiSSvJ32NEZYsrKJ4Y9g87Dh8V0hzFNvOMxEvYo45YvNp3y1Jj/XrGFjHcN0C2315uitIORnpaWaULImeGigpdBXO3Xt0KT2CECDKtYhFO6KrcQ7cGAYrBzUfr9w0FRzUjkndI5YrIgNksb3OjnZCVvWZSBuT7EpkiaJSiyBklobE0xJl00g5PnjPoOW4NQ7IwJQ/YI4urUgHrSk9rWYZmcLQwK2sUTyca4GxFYhwTe9kcCoobqKLkO3+6soN7p90exAOAPOLLj8AaFlV6f3v/u994E2gIXhieR8qDEzZgqTbZDQNAI62XgTwpJ9DA5jMEIhvOupkGsAx/Ciacdi4Xu3t4PrHcZ2Tp5nNMR/Xda1rff58joF52D/+Po8XO462Y/rKXTgBReKAcK13kheUAQCJazMKqJUedYNVk0ja5Z+GKGLa1UrEuzG8Q7kMAVLldX1W4X9+8Pzkzz/48Tufv+P8WD69it6vgIsU1l8feH3g7RWvDxwPzMMwo1LGeef7Vs1jBGtGWJ21fEutCAf3DROZkgFAm3mlcZCyapx7zWEj7E0OgZz1EIKt2hiHi2awIxxJqGzRYGznQmVTSzthrBVOnBdLizuAxTHEBp9cm6ejB2NRqoIj93lpztO3mfRdauQ3aWSlJFaG0U/LLNmKyrY97F6a+Q3N6O5Gv6EUK1yRzDgbw8kOdRC6MAgdfUuUaPUwphigEGUf+40O9y8Te9Tn4lezO55J2eOyQt+9/dsrHKmeUDCk0120aXRAbpVi7KepIffOd3povUf0Ssak5khbBFbPD+/V67xAvoIP4zJeBowxxrq4FnxTnTHxOMacGMNqDhhGqKeauItD4luRpKa3OV4510kfN8ZtiXoCeKde/F3Ju6RkmIaC1u3pFZJs3mtC2IXzyfMDzw883/l85/nO6xk9k/KT7oiFO4Y57ThwTMyJOWG+64agsbibqcro6w60vTx9u2/D5GaTcucw3f6XgZO7lQ5q0xcwUBMcus23iOJYUpqhH6YoK3BL82qzwPAfhBA9pRzzR2HMFh6wjD4LHsLDTuWydMTQ0xd6fr+5pKF+cXc+6l1eGqzZSUgNpyZE+eiSrJzKFx5Zn4kGrb9Y1vybmz1KITCBYCecPy9jvgWrJXH90w2/QIJ2F7x+QfuRjuxGjL33m96GQ5DTDzm1WbfeaJsQ1tF1RapKs7x9Xd2ddH7NAHxPwOPFMdBI8Frr+bls0TDfYr93wCO8Xv/KC8SkTVeOfYvFnSCNUsmwrYSGQof0p4J8tHI6ira9wVJ5ffLdc/slFhOUFoBKZ8SuC+cT77+vjz/W8339+e/8/Hc+/+kbMcKmLy4VsRdgGMQcOF7s5dUeL5gvGAfsCNWMh2eEbqMMm4PReqhcsubomow1aUcpn8l6qZ3NdNv+U9Nogh5394mqJoF+nS/D8moJttL3zDhlazl9oDsY3MicNoVLQGWGgaU8nQeH8ygG6JjxPpnThBFNp5qJF7021fJ5X4/3OLWXBrGZcv/xFbvaRTGpa88woViyYpgtge+mqvFwp1Dz9cSnwkWNphv9Qkz0d1+OrCh6bWheDaFNcvhlrAVSXz6pL5T0uT82RvAFFWusocwmxDMAh2RY+xOv5dsI6JQvyxPrkLkBMZIAaFqibOuytcZavpMfrsV18vlu6+RaePp0afAEjoPHIdM8MF8xGTsXL+tbPfE2GMj12Q1nExJoyZ/UjQT7mbNqKpmwwVZz0Xb+ZJGl3dhkFvndnEatxZ8/+fzg++/r43c+f+LPf1/P3/n5k74XmCFOTpzh+UqQBo4H5guOhwV++cUVZkciWEmss4HR48w+CxtEuRpADNtu+HVzKm7iPeoi5tNjwuFgKR/YJ7MDGbmvLHEVIVKL8mk+Gb4YjtbChIA+IcwAYC2PWQ+Ew2cdljWWZHPILRvGh6na4kFW1p85M1bnCISpjRu9I6Ha1EMV20kJskYlqn46zWKdSyP+bPMbs8H6MGOUbiec7FWBord7wrnGVgPXBXIjAIAjECktvHWUtdLF3AopWFrVRc1Huj3eO526J9kgNBCFgA1xpGG/eYY9KoguW91Yf9h+m4UWRDbTtKJuB3iA2hY1d1m4uC6sZWthkdfCeeF64uOT1yfXwqfvzT4A4pj2eNi02BvrJY8cHQJpNFcWxa7gd9qzZjZZbkRIjne15onJwpxG1OxkXzSWerb55BuqpY3TqheA8AXMa/H5wc93fvzkx598/smPP/F85/OT44AvqxoXxuAIUxcOs02MA/PAOGzMOuRWs9+2h2ab5oZlKRBqA7m9LBA+wgo76XZK38xpPliubrRw41BZBO/7qLl2XUrttRNXgvA0aYIHytm0zWQQKxBde2LsO2pgv9gVpyIVtxjcZgebuElNFFpJU7UZPElIGjXbeit0J1CeUqdefKH8QM620lCWvLpQU8vZY35kGckPXWF2MVE8+Ga2PVODbOS4BbGC9BS+QDH3vTg3L8++BxdTPpEZ095+LRJjomkDqOqF6JCGOWWWeuCBb16ei9MRdDf8kpyeJ3m5twX6oT4neOFa5i7YeeL5ifc/ohjq/Rk18p8v6+VhLy/2ctg4bLzYuuzlF3s8op7AWbPtRO1Rrj6HksZs0Gph325ZFw5JcTd3SV+EqNn4+tVfgEG5IuhE9fqJ88L7P6+PP/nnf+Djn+v5kx+/8/rA+elD4xiYxDDM6eFJs2nzgZcHHq/z8TqPY/N4kSLVmaw++F6SHurGbMqwy1njfnkr8ZGC/4qbfokZmDxFIhWZbUmFtC6e7lGwYTvxFN9a1uVQCM60N1pmpOiVlJ+++l17iYBXOPZxNENmpnq0KsujWng+PIGVpN0QQE+0pHFSjaOCZxt5AiYaRPae50XFPU3uq1PVbMQQAXRfx72UvG5aYGbdWRUlFUWsTG/D9tSdHCElAwXGuL2rb9NQRtAxI13B7y2uGtz4iyhUa9DtUWxjSgLQjAVf4jxMkhpwBBSa7B+TnqagcXtcpOdtLX5+8rqwLlxXQBhO8MJa9Hzc+eT5ic8/8Hzn+eT7J32OiVc+X+x6G9djzIPzxcwPxaXNwwY4BzCwiMae7nOFrgitmvU0AFhWNkCLWassOQoiixWN1B5qsTDdIMzaA5FVpakkDU/d+iysC9cnr3f/h+uD65O4YMQ0LfM8wQEOLAMnYLTDjgOvD5uH2eyyT6ScuhZZzKLgYMDYIMghbDSDiN2DhE66k2FuoyZv0itxTFkJ6rPjg6OD7SlAy39pQEVpeb9DQcPGWKmyhmupnhq6O+kx8W7M41J6ztnH+16iBFTbalvxRfN0TFPC9CYAILJAbG5NRyKpr89pMtaYrNoL3+R/OTkSOSJSeLPN2Ujc1UN0edRJV4ycLoSwU2NGwkdI7jb93R4jS54EyO+bWWg+HLDBVyExi6IUV28QlgT3wRkgn5Iiay2VEbEBWaOyI6aiCh+dAhndG5ZoCRV8Qr4WPj5xnjxPrBNcWE/iNN8yJuo5P/H84Ofv9DnUxzufF9fi9YqXV1s/cL5iHna8Ekf093jhYe6IEXFQoqnjTszNmci4Yk9FB7v0RdnGbnwaTbaCoXZ+F5gh0c60qL+62xoAvqnhk9fnOt95/uT5k+uT60m7MInpuX8/SmCAE2uAExgYB46Hvb6MecBm9amDEBuOgETukui4CRA4dEYZrMCl+J2Bjc0oalaXMy3TYj6zUg1NZRLBulVM2Q3ocfNXKlIOXyx1XE2mjSm/MEmzD6E0lWH0FUYwwYCRUdYbQ3A15A0TBAThRbmnk6GlutIQZRhUBxLX2hzKdhr6oOU5+RiYt+QsalXZpkaKfFuIGjPfxDl2lQ0ippbS2O1zYJnaDbxMNHMD74OEUBQJb2mbytSx/szZ/9cJCjHkk0EQot2+KMCqnFp5X0lNUcM0bbY4cJBQ7DGe3AgHMHeqKI0xaL1PR4QsAfLjb3Ge/PyJ5yfOT5yf4MXrdMfIjLF05vzA84N//nN9/uT55M93XhcXOZbZhbG4PteYNh8geJ3khde3AcIO5maCIQxZbyghCk1yP1s+8Fig2SUhqTUTtxlNvTp6ATARy/LHVwMSPoBRtUwgsU5cJ853PD/w/InzD5x/4PyJ65Pr6ppgIHgSBizDK+aB8WKvP+zlBx5vvtlVgGQZvArgy9qs8BPDET5V3TkxBzjhnqyNnqv8KneotqgzFFOU6hCrsFsVvoqPrbiBQI34r5vBboe9dnxZc8IaZdpcr3raHxlr37b86xIuhZFtu1tgs0FAeyoDGDZ3AzPPLM2+xcws8a1PyNJ3Kqeo8p43cFBKQB+bgE9TwdDMjGl7QInL3U62hAEcuArvNIPyarDq6xf6Qcq+G2YmYlaH92iMQYtImuHaqCFqM6W1Au6dHEAsCIviQKrEI6fEdpOMmwZ+UUjFwpLraf1SgZvbn9OWdWGdWCfWZ2jpdcXEfRC4wIvXk+cnnp/8/Fznk89nWIOoArqwAJ7kyefrGMd6HGMMzofNEzaLY6KA8KvJiEdXworfLFVKRUmppDA60bFQPPhS94QmwGKNxEzeMBfWIi/ffILXk9cn1hO8wkEg5UR16QZsYB42HziikFUd2qJA/Q4ZZ/lf18V1mZ/g6RKBKcSkAmqiY4JFby2blmwk0obyyv/CHcI25UidzG7nHMOH0wiaPbO6rpSqySHkj2R4b18lIh+nw0q5Ix0Ja//oDOBVxLk0yLoya1w5E7BoSA9OpctGnG4EanGI4KgNkgPbjc1ZdjqbdbNRc7scvXBVsxPNNdgpKPdrlzmY/BGPnbG+bmtkMijYq5by0mTGF4RsQI58BtIH6RdmdBqoAbIb2qoiYAe27IF/1sL5CW8ZuxUIRoYhzAKuC9fF9QQ/sD54feC6eDGiEoPAZTx5fuLzg+8f+Hjnea7nE3OMY9rLgWk2FniRxLmWTQBjcmFhjjHfMCbGSpXLjrdXylrVZAfddKQxDX7sYLE+W1vNv90p4+pCkXhjXiqGSfeDOBfWGbvoPD/5fOf5wfOTfj4AL8kZbr3AfODxiscPvL7h5RXHS6FG5/Zqdiwi377R64Xnp60L5zMWDK+J+cCM6SQNfWvs3XghV8aUIikva7FntBNYT5RUdS5Eu01kN9ObDzaRUTZXQSB/sG5widsDT3tDfn1ZAz17lUJ9wa/W39TXOzHqExm229f7W8vIcS6R214rzvre8KuZEmUydSdVx7kYcwtzK8XwkIeOT0mddCyudeK+z1rryW6ecpRRVzWy1EN2jp0sqxbB2zctbTTh/lHZJMs1Qkkxk83ZIBXy3+O6XWFkQoJvrcsAcMQC8Hv/wrxl6Si9Sfr2A3G4R5Yyhle1gOV5ycUL58nzyesT55PXhTGGL12ex5iHjWHrSS5en7w++Dz4fHAe6/nOx8c4pm15seZiFTe2JIt8DAPkow6Ppu2m0lvLpqwsd+pnQgXaemfKR7uxDyAu387wiecnn594fuI8eZ28Tq4L6+J5wZYNepxLuZYXHK/28mqvr3h5s8erjQdsolta9aY45JPm64l14rrg9uM84wSA8QhEWQtzbpOPHmyGuKkQQf8yyr98frm8zjQWdRQtklqt+ez1Fk4FZXARHlnsiW/obNlAIgv3Ayayy9Vwn7EJEcmBRAz0W9vve+J+e/YteJ6g7u4gNWCvadtWmKYXFE73ItaqZV6DBkyb8TRLnzyAPG/ytfGjDUKAkLSinhK5NfgGMzXVY5rZ5XtpZkGg27T0aSx73wZCWNlvVfxtOBWpC9mvLGfa+htLBuPBzRsk9giEOx9JdyWM1TcL78wnAjWOtDjHprDtRSg02nqXr9iXbxsasOhRMF4qE7uwrghLTq91HLVZgbfs2cz1xDoZOzKfYBw+0nJxCKXZ6JHqYhCElcuqaNo+OEMHCSLPNGuL2kPOSmTKwO8WBASjCI7nxfOMf9fF66JPMH2xUaTSfDOMYTZp08bD5gOPhz0emAfGVIaro5hyzEEHT6dcuC6LufyFdZJXCO6aNlasFM08kWhCtZECpbHuoCMHUwXz2ZciEOEqzkapyr7EX81Yxl/yOZJLN49Ht+axYfXw1mGDci21QQIsi/RCbcucpf3TfPHWO6kVssHby6ROqV1qtlwXpqa0OV5Sy+ClEuly0vJApkZtrF4+0Z9fUwGomBr5HCKPOmUwXH8kWgnX5O0UZb8bb8WdDdtoeuo1n+UTN6aRoFJSTZ8o0twHJ6R067WBt7Vr71MpR1E7apzrdhuTaY2MMMPwLarM9wnAHDDCFi7iWrjOCDD7DqU41zGG77gyJsbAtXwtOUNwBkisC9dzXee4LnPsS4JtBjrm76JFQbXBJCLxTeJkGDrLt3bnWxrngsg2id4+R/Ch3ISFzyc+P/h8X+8/+fxYnx98nlug/fMECN9LZ8KOyfHAeOHxw15/GW8/7PUV82GOYmPUuLbRu7wuXBeeH7ieuJ44Px3CcOXiaV8W7vKnuLrURhVgmqqkMhYxfIEEfZrvm0DQTKulEwuAaWUTU3Kade9it702TEHUiWxX8JvrkQrYyUIgK3VHKFMeH5iXJc+D0c1l/O5RHEAdF3x7eDgXtxl1W3SUudFcRQbfE0llTile6icSv5zsS25UlJb7Bbb6jM59CEFrkKKnFPUu2WaCsASaLUskfpR705AgL+tkD5UJG0a2jw2xkZTlNe3EMWOGaaO3W3Wru4FAeTAbA+7sOlQ8Vwc+p+pXZz1aLoyLqsVBP0hxOITFTmy+UITUlgMZzxpZgr/ECd+c68VgnnkZt5hxaUyBEbT0M/zlQvmQuYgSxvXJK9UWf7UAVUbUCs3c6sV2190LZUxnAiMWeOF88vnk8xPXB68PLI+CuTlVUmktrmu9PB6+qfWYOA4cb3a8YL5gHuZH3saGZXkqCqNfDl5rRRbl/PStx3A9sS5eJxdgA2NVOTkwRspg2mXtYY90VKxVdinSuzJEkL77MIP2xvb5Z4sW1jLi7hLnBER6QBVdNpMi+/LVE+gCGE9Jm1KMVLVpSkPL6omCWumEmMElnBWQ+I0uL/FD8xtJR2m8Ra81+Hhei55bUAyhiGOFPrcANaCYvYsVcnUoNVPNUVofUkKkTLO82lbcq5FJD6wAZSdNtofMAAbkpTK4FJR9YvWkWIQ2ILWQUUDGBpZNtfnl3TbIHvmJD4rmDswxzTjoO97vg8/pm2w5fc5AkcOq5AHDI4QDK89/8clOhKWLEx5gtqTZdGU2wq9OBN9JszPF0g67RO7MQnzWDW3Jdl6mIF/T7f2plZoJ6VIHpNRxt5eVPnk+I/C3IhcJr/+KQxaBa63zuh48QPPDnOZhjxebLzYfNidij9YkvrRcUq28wZPXifOTmkLGRNIPLowCiWSThsxUNO9/WswcdMZSBTZ5jRqxAvcmTdtfFhzUk3X+AdikL8O0HcNu2lDTdfHxhnDsz0RFGKIHt0uTIPIrwhiipKbeGpkLC1Js8tJE5RqP3jTkDOAK3DBF2mNsrWPyvUJMgsSuaLnoTXJXz5LYe+xPttfUgBQmrEnil1X/QSsbE8P0p22x8SK7YHr7JglbzUqnogMuTBVSawNAeYIxRWf2ZeehaBvzVUPfd+RAE3p0ju6SY9BWAIPm6cKppSgjwjVzAIZrxGR4XVweYxaZlrNeJ3rOOezAGLauFRHjoVNmb0OwLubVvTEialadLZvSDqTLar8bsqOUySQl7FdoAzfveVjxbD8wBc93PH/y+ZPrg/wgPsGUKHNDQZtzzGlGszXHfLzi9QfefuDlDccr7MXGvAfcQ1EJEOsEL5yf+HzH+eTnO3zr1+upYOKEAYck3Tzs2Brydmw1gUikSSIHp+UMbyFaTZ6FHF9MTfhWhm0c3fY2W3SX0vuL+D+4IHTEfZCubVuYgBpaPF1K7bB3F6oC4hx1//3Xr2u7L3phjMmtabUeN6ymn0jngfwkYsJls7hpOXJ1aSzDsLBHudlWXyNHkhZQmi5z1qouyUCA+0iLaV543AG5v5MctJlgM+8ZjE61yxbUplgTlGmNSzyK+SmGdCBsywDU3FEFLJXxwH2y30oWaNpuoZs1a5/ksxcdX9ykeGsRqQxdYglXb8q8/ngLatfg8jPFDzcLGebVnIFKnlinUr2C2BKTpBzbhSyz5haleEvwgp8L6fG7KETMJ404eXQEw2xOjolxcD5sPnAcdkwbM04akvLFcwDEaodId+D8wPOTHmSMierKPeYVqcmN/1ObG4qY27pO+PTaUL7FTaRMB82CofqFRZLE0jiZYOU20a5OSnJjxh7kKG0WITp43l9WDGod8AxWs1BZydouBnYPsMWQulyK+XVt3WKbTNYovoFppslkmxLfBpGKlvZAUBueTECYVjAX9cKA75QwdbJ3Rd4OATLCQbqnZ/C2NB6LLVvHg8phITmALcXGjd7Szu4q+LUs71m8ttZwhc79OY22hyd+29RTqyU3qTKsIKcNg2/xPsz3WqD59l8FRKHeZ2y86dSgbJLIY2vRVpA5Vc4GYg00ZMpwY1WUb5Vt8THL+/MxtNCIYiXRhtjQsA8Qu4uIllNIYC8SiwEZY4morU+up58IqQgSwsLYiHXcZuC0x8OOF4xXzFc7Xuz1geOwOS22Nq0VIXr24jqxnnZ94Hri+Y7Pd1xPXh/O1FZxanEk/Rg6NCTFIqdxXVlzML5dhr9n+xVaJbKU8VGSIJDRV4KMoPugak2bErDizlbJxMaOUgt93vjezVazMe1yQxaTUWEbZs4xGF58ZpZE5UBTSZpdBdF2C2kz8TKI9cB8qYIkUSIlL8KqietsxiXtjeXaZlHYZX7UtTSPsw1booV1gLmZYb8/TUj2Ore5DdwRULI7LzWqhEjVFhFyTJSz9ioPF+Q4zN3JrYerXKXzZuXZNiizl+OI9nPo7pYYk6Hksdr5sq65xjqRQs0B8SBzjeTEPDgHBmJ13gUsiyXWzChYUAsEzmsN2HRFNS4YLmDBxpqD84iTeDD17zarsrZUqvqUciL4ZClok2nsDNz+FmsEf2k/tY1Rfp93OvMv4uPE5yfWB3HSFrZgOlpSijgMx8Txhvlq84fNX+z4YS8Pmw/MA5Y1XH5MC2PTnmvh+rTrA5/vWCee7zw/sE7YM2JO4XMNzIlj4mXimBFZiz2ptaF4TjG+yGcpZdnBlCSltHJP9KSbW4aR1r6VEOqaqPCxpHhzHfql3L2wL7z6ttt+I5PpAUm8eZJISdqQ5/Y0A8z92Q33VNqzYaA0pa5iLsbKk0K6V8FY3r9U85RtjRRatWUF/20QV2QDPP1iwzAGDVeot7zHvp7sRroeY22lC/RE3pKpisSq8kk6G4GB/M1F4ldaOvoPTSVbKWFzicqVsC8/y44xucbUck0qW5ySBA5qGy9NKATaBNIANVvj/9NsTIxpYwSE9X/Fj2QosRYF08QwglhGoy2Mh1Bo0AblREQbX+SuSdjNtnwRtbAt7rqWJtWvNMhuX9ROimhLMm/CHfPg88J5cp3kFVreKWBKfdjEHHZMezwwXjBfzLc2nNMq9jcCMElw4dLu+2es0/ISCp5P8MRxsey1AQNz+F7VNifGNAVffJBhSyzng2Xg0AxiGje2tXZ3qt9sm4IJ+xGg6d18uck6lLQrNNks5qbYbU9Xy5l+lsvYU2vIMorG0dSd7kbso0kkN9YHHaoqE6ILmjBmO0y73RTn/sqFTiXnTTZDq6MJ04WxgH5EzUc44lpuSGsdynFvlFMur/mDoroASnMZU/lcG+6m3ftw8nkG9GR1dyr6fZ20AVFdMKxooYlp+XBtPMZjXYBpX1BJuhkc2jKKZCVOTknOB48XXA87n0DsdxjblhKAMXaEdVdrgdfCAObkoeZWbLu8JoeBx7JjzBceD5vasTNH0QzTzqHKqpjZ4CBspW12s7xpo5gRDXjDLX65IaPFAzrdSdjw8+/wfOfHT54fWBe5WozB8cWPbyCH4XHg9YHHr5hvNn/F2y/j9Ycdr7DD7KjNMX39qcfXrgvnifMDnz95vsPrfp/P5fuamja1tGGYmC+YDztecPiOPYegiXepLrlCYECVCwjWgMx2JaFlvDZqWPu9ZatM/LO2GEQXfnHY8uc3XU1Gf/d5GXCAWm7TYtrfgQeasAcN8yHulJgiTSpCFKb56vpVQ7+ZzPsGjHmVk0BzVZE6Apc3JC2zIpAdU6tV8kRJRoFL7BSZn6eyfA8xYKYzBZGyQXnHN5hrDXIBaP1hnRUDoEoHNW71QhicBmY0AiaRiGaO8utuwqzTLg3esS6YcRHD57ILmL5HYBhtxcBiUpBPnQeuafMwgou4nlyXz7CWucgNcMaKGQO8eOJaF8bDBrDMTq5rPT+v+WPay5iv43jF44HDOGWJYgAsqPLRNaUrUVrLazmQUJyjT55KhL6Yp14OHuF3lZ43hobq+QLPT54f6/zgdfnWtZE9wIAfBTBjTm0wHA873uzlhx1vePkx3t7w+tLwSwz2ZUPn0xeiYl3kibHitB7vOY3TCTsA35x6+mnEmA/4xrAoNyWy+x4IXg3CmxSV1jilEs0zIWDrZjc3x4EpgSHoxRZ0DWnzNPbWuAW/2n15fQTOtUNDT9CHPpf9ANzxbBPIGhpyRF9A27REFN2FrbqvyLyvBBeF/fzq0ZQw8KzCKdVCAa5cjop+edjIWhdFNN95Rspv14kMujoBlHtMwbfsSPA0YgEeBgvj7tXpowu57fww8YrF1eTLkNfuTxD6gu3SdEeDvsLuojtAYjCiAjGK0bhctU9dYOPtwQx7ZfWQS5yem3E59mcaxsCcGDN64DtVKJKtRiz2nBjAnDqqz9cYeQD1Wtfzgs3xMnx6dUwcHvfPshgCPb2UNkR/lQ3WcphhhG+6gjwFpQR5k7QbIREGv8XTpGvNHHD50m5evi/FoqL4BosUjzEKtbzB+cB8xeMVj1d7fbPXF3u8KO4+Cga8yOtScT+vKEZNxyIWqPtBuROcnv3AOKzq+zvQZOi9RlhWXw9WgiyLM3fl30xmfhOZpGg30aPh0n4tMi/NrH3vNdo7Swq/CsX87Z4GrHK3lPc2idTEgv0hxVdEVkTzHwsIEA40aG7RI8F8dXnPCbZypxoTAwV8MtOU09jIKZKn3HVjooAvM+gcRjyhzLrFtZxmJ4xk9ofli9U9mk+6wWvsqF+19DsdsRIpORyijSn2R0GbfSdMyYgKPBpgsZFl4BclbhUii3YOLtAwgIvhCA5tdBP1rPHgpMVw9s2H8eL1CsyT5rWpfryf58VgA2NyLUzfO2JOB3OcOrfhIs71+f752zjeftiPX/H2Zq8vdswxIyT3BWU6YR2fyhwjubrojDZ0r5j1k4nSzYko1RVesnvPxTw8n+v85PMDfPox9urFgB0wYFxGKN9KADhe7fErHr+Nlzd7+9Vefoz54ouBQlfIqPzyFeN+3DeuSJfYwCA4I7Q5XwVhRywaP94wX2CvsAcw5Ytn4DkjRVGpdrMCLnmF3F1yLeHEdsFO5jT8glTvLmh70/tzbtAXnbEvH95xtDcgFY1UX1uas91egEmDFs3n87N+MH00hSZNxu/bl6X6Z0IwP29/BTQS7gXFfwu5l2NouenygJMCSSikfa1FehaBSWWLRGC3Pyz2ePdzjQ0ag+NV+98F8duAcxtxD9P7IveVTkSxInrjFQLD/PjPv+Bceh/0uZyXAZdWdp1FAKf8DESY0b0wW8hFLQ35a07NUfPecBL9UMhx8PFqvkcrieWLps1s0PVIsQQbiqOkvaLBk5uPF7y94u3FHi82H2aj6PJthqVTRI5AbZuhrdWhDS0JbEfXUzOCsu9JSh9gECi+CePgVy7GntpPnGdsF5Dbyvv82AbH0O4vRGjKgeG1+C82Xsx8uif4WAQXrytWPi4hl1tbs6BVOHeRSwkvzE3FODAOYBqyai9hOmZ4MS3GV7EzSVHmdIIGmpug1mME+yjT+Bec4V1sDZ3kCkd9k9dqL4IlAYZur9pyHwFOtEsO27Uvnw+0Y2jTtzJZbI52rUSFSm4BCkABWcNRnaiQXyCiNQ/RmWH7WjZ3hlz9hFethJHZqAoEUtCZRbHqF1C1LZ0vsUqmxuLPNtXEOvIVxDFUTjuaAWgFTgF8lhTzGPsWadFTCjC5I0qikt6Y1h5ZlZGU6xIFXul55Bei/bEWMCLS4RVe5odICNop5El990/HwJiYD3v9ZZoRF5+eRxtmY5nh8OU30FTb58oZRXVRm+CLPd7slx/29sNe3my+DK/7lzHYRTFNfHZPZ6a4+AaKIRlDICLyKbt+oTX5EKamaSoDYDvheHGdPD/xfPL5hG+K79H9mMIbMWyMfDIdiPDAeBnzzcabTd9X50jMpKcgz4vnE9cT14XBmIpaCSkwtSBiYhwcE5iwYeOw44FxAI5iU/gVY/EVwj1pyFQPBj1amIyROzbjYMiuy3p58Uzydl7UfglN1DZrX5R1gt8wMNU/ZlwpLWp29wD952KYVbYOfWP8LDADQBxZT8HiACuAEFMAqpNXjrmeHZdZdXF7jmXu/0sfFEPPZ5CLvq0dTViHBJWawiaJyOWL8Alm4mEAs+28m5CUQOc4MDSviLNWDTRf1xxC4K72Mp2C7lHFEV5e+fCQuxtYllG+rJUPOLM1y2/REMaq8UnIPWReAfyyMXlniV8ZtwOM5RHuNdHIZeviGMG00ebj2Y+A52HHY7z+4Ji0sQbwNAC0YQaskxeA03fXsRGTJp4kvMps8vFm//qvb3/7t+OXf7Eff5vzEYcnhoLcpCPwywTOQL0L85IDdkIv55HyxGpHNQM9VtBgvhf3Mf0HAAvrxPURG0yfz1jYMafO41uwAVvgYTRe1NbPxscPe/0VLz/s8YLj4DjMRvDIiOukbztxfq448VtynOYKaUkaSng56xyYx5gPixj/JvByskQ8uVHtAn+O5GNkyqil8zlF06SR7Y9J2/nF7nQelgx980XvdPPb+JcX7rfIZxqjvMfbExmBBlfXWxMZskmzFo6JlGxXpTJt+7oeJ3BoevKud0i+nGnT1MVlNNgYMZdN6d7GFmspa6oRHLJhY8xCVCoARIPXoqslowpxhsrRY67sVUJXXDwfW3olBlNJTx9nN4meGMClHT7bz7uluuNZjFd+fkK8pHTZ5vwk8nuc58gYtnJGxkUOU5jfJ5q2zNeD7wbObAwcBwzgZdcL6EXqAJeNg1y2PFcybEyYl66QPtxjwA6bP+aPX8fLmzbM6goU4/W73C8I0x0n+UjwcrTG9KUTlWr+GozQ7LConPhlZW27vxBkpW8LgSt3BHMoHAkScfOcXGb0cIXBBh6v9vJqjweOw8aEDSYUR3Lgoi9U8hBYZlku2CXBt2je6JuC6sgJ7cKWkqIZg3YwdmZBOLMrU0ezwMkqyxOzLU2KBaUSZlENsjWT1zYiqq1e55EKoe7EJeGuZJNMFwYZ161pSZN8oa+FcOjSuJDB/sKjJIdSRyIhW0VOTc5atMoTvhb9/6tZcVGQjZyNUhlz9VBlE8ikd1oz+TiMnvu/ka7yl4caMqLdqVu3e2xuIz4y/u1PX4x9N1KPgpBM/QRyH4hNoEq3biSJWPVfySajw7KYkWMWFTRHozaetqzy14k4gbExb6GZMRdkymeBARMvr8bDjgE8/cTfMSbN1nMZSUyzw7x8HLGWhRgYL3j75Xi82i+/4W//Nt7+NsaDNuIIstSh2yui0TnFJDJTbJHAwBQMXTKkPhvSOtaiYnApCZ7oWbAmIxGig/PC84lP35fijIvmtFgcOcEFWxhLR+IN2OB82K+/4rdf7eUtYlgZOcUClvHE+sTzg9cJan4KYFkE9A85UA5Iz1OrGGh+AJKnUFz2sp6i/IzvZzUA0HankiTk2lsL+S8I6BUC37a4NbZ/UX2RRLdesdH8Doxfm+iNuEglJpi5eXD8ksJZWriGRXXvNifM1HpOM3cFNKXpkShwFyX11gshUusz8ytbAEWXuJvMG85N7Xji5fgZ7XWAMrNEWgoGwnJP+GGFERpa/qfRUz4GKICQjuaog/zi27Q4I3RGVpFWizYQrmtstaYygMbWlqc1wCIxZbJSm9zontByTb1YMAsgYOAIG4U2d1/JVwPop8aoFqacl+iNwBmwxw+H7TUOjDHWWk8DF33h3jTY8PjKGi/2+GW8/YqXV/zym73+guMFc8aE20dYDkCyP57bg5XBTiMiXm3ANAc00ZUyr+p1GFd3atrk3vL7xK+MPxLgWuZFW/SMYfo3iGDBEkHGIJeZz6mnPd7w9ut8/XXMFzo6u5KtiPbzetr5ieeneaG/nRHCuIiT61wcL3HyuTuivEIQB+CHog+L430yq4aUKMBWDRGACqFZo01dJyyKXvyGDKANSwnyW8ZGsXzdre2tUtsf5oq7XdrRxRvt0f4WeM/OZ4VsOcHpD7eh+cEoMvm1YSyFPmn+zYyx42OSw1KjBZS29FlSYN+NsA3f7poZY1Ru19Q3OUZgpgpS1NXXCob7rATDY1tLkJDEy82K5DpF1EnMMuexEQO2rIijPQJoI309xdImNQ2q8Uh5SNQxFozepKccgeEWIDRHvx7ny4XrksviQ7rC3XDp9+E2QSimDSqWdqrRGRxkIErhCAJuvOmJcbxykbyCH9dlMFwXfYtED5hi4OWB+YrX3+ztV3u82utvdrzaOKCS6Mwu7+KQBQISbzAj9AmuAAxjRJy4ram04DtSASoUmVTdRA2CujDfnjnx/QX99KASKBmW1IVpkbuyiTHw+mqPFztezI7iR8xUCNIuT3F+IhYqLWDZ8l1wL57Xtca0w7zIDgBXWLE4GCJxn9WNMva8RQNLDOPjmADIGktDC/RMDo7CtKUkKUpBp/aBYLH/0RS2A1hrqUX7vKuJU/Vt6Gc9VnMxDSktbahhHo2TA1LKtrQqrGYuS64+9RCk1S6LagH5oARVSuCsE7CI2ORWD8/+1RTHsm3TzAnebqwmUp6wDrkouBOYaCSFXwhdq1rYyPUwRMpiOqt9BIPCKQb5ILWZu3UH7RRV7FJH7DtdBj2VXiiroeehv3IioAE6gY04Vu5aOsRRBnj5qtQhNsViLOGLQV2aIICJB2w+cExcn7jeMF/G+cnXH+ZleBfCHXv77fF4wcsbHr+M+WIvv8zjwBiWWzX0QW6jUA+ZMWk5BpbkHBb4QR7OneDfFn/WvJCJwiEwLNvM7haIU9fCdZIn7YzlJmFiCDMcMwBlGuCldhNj2NsPPN4MD+AwsPZqMmJd43ra++/Pj5/4+AOHlxzqgMjnifeP6+fHx7TXl7fxeAxPXcEwDxwPOw48Jo7a4VhjKSmU9U1AThCIyWrhThJhp/9XZggdbLvK+PVSfmkN/Tn50xJW4hJD2iAdkYke8CFgsQdtbWnsgLU0NC3fbalNi58NmBIKqXa2FJhwAoYxA6bWjn7qgDrRNmq4UXFsLADgyGAJDeX3Y7tsMTDDBrFwjLC4Q6OqwJXtkMfNQORJybkaKJ7O9sRO5NYN40607J7fPgjiYsUptwvcyvijljFPxkpct3BEKk28i42nPQ3AzESTwb0wN8PMGaUceFo7TCEX4GTcYcj+iRJjwmD4YePgOMjJ+aS96thpmzYwBn/8YseBl1c7Xsc4zJc6jxmE2TC4wFkPUcBCsYquC/KtU1zjjv4nimzQvanShfuGLsdQXJH0ZJAIvZPXbduIFCG8mMQPbXqFTbCR1SmyPvH5c33+uT7+yfc/18/f14/XOecg4EdDnicYS+odGofbTi9nmS+YB8YR1cglWNa0R2XYhRc+xQ2uxm3GVQfvefnLTYhcv8LabiGJdpl1ya+vmMa1bDKbxqZR7K35qnmuzL5p+XoYH9YYluwRNyaLpTVdQ5ksql5A2MOI8Vj3POIe5ATFCqyiA829S8XdsnWNGBaKqClpOWOu4246Ew0FvTr5WGrRa/TCYTZBUQGWOfO5Pb+wuxt0IHOe8VEk9MyLe3CrhzYNBfL0WolOw677Jvk1BwqfV7qXTiRz4t/jSKYf6TIHY83sWAs57Y05bypssNUInwjD68eigjYQxFIcxwQNY9g4bBwLD5snxwdoi2YchkEbeHvlMfE4bB7Dd1t2VwVC0qLrTRUEWGlU6LF65d8gLNf3hvbHd7qnJwnL2Fu37oVR9CUZRmC4tMfm1+YZwTFg08YhW3dgTMwX2GTYeUeCZbzs+Yn3P/j+z+v9P/jzz/XnP5+Pf0x7wAbOC+fF6wRhcwaEjeF7I2IcmA8cLzq3Tf5p6FqidnI0KZC4gTYzKS3XaAPOJF9NBtHA3sqgNYi80TZYZZBKSkuo9CDycOrsRUxYSYJ+EJx/P6o21V1tYnntZlvQ6leXS5RaG86pgP7mY6PkPkli9dsFQJjFkhXGxUFlo+K5ickdzQy559X2NRvx2ggBwlZVA4T+xR7lcBwWRAeRc2ezFl1pz+/gVY90Gqoe03eRQ4i6Jl/1zyDMRWmJ+tcoam2EXrdBeMStJ6WV+KWK9QAznepB5LyrbLP/NQy+8XSsEhgV+UKzmgs0Qxzx5Y8dJGOn483UeMnJ4ByYD3sQXHadAAwD8zEkS5f5ZjAe+q5t5TRuTT7u9N8lodMtjNUQNbnlh0qEzNLDWKK9RRzClu0eC7Y3JnYOixRvSulstPXHjok5MQ7YA3ZgvMIOi5RQHEHE5+f6n/99vf/79fnP9f7f18fP648/LrvOl9c5H3b6fmEXj1e8/RjHI5ajmmFO/HjDfMF4gR8bDD+fUOjNVClK1/RvNY9ITMtbgxuVkkSFaMuYsmT1XvDz3StgLsU7oyaNuhUwCmOy9fqyOFl2nGtkrGW5PWV6Gj0O0Ya3uQ+mmQZ2ZGanUe+8Ak5x4bpBTfZfKG3bN9+Up/V7c6+kpKNh1H4D+URilVfMfJBFI70nwd4W7anOqJPd2FA1rlo9EzGOay0sGjGDVGJQhvdSwKJsGjo3scpGQkcGYI5fyD0YzLSfWKKgpjVFxTSVTcdFRTPVsh0OdO6M79EiUUPuunUB6ega9rWZ0SmvZfmU28wwjnaR9N+SdWBPLDULJAYXb6hBbTDWeWMy42lAylWw7U4JgxTLBACSCTclac08fL4iPtIsYHvREz3T7BFV+LExDs3PlLw++Xznxzvff18ff6zPP9fHOz8/cZ12fnJgkSPWdy8C8JODfdnMGDYGjgfmi40XVBokuU4Up/oo2MaMnSB0O+JMkb1tFUwsWQOkGlt4Nr/d5KOwqkXIq1Bho1ybBUV40RVmGDPmuCJbHtaZADg6K+3WcqjLXu7bvs/+fIdfaiPG0i7bkiN6dkpVV6IG8WwzRJlalMPsf7AL40aR5KEBGfgKBWT82Gv4igCJAb1rggdvJ+bUYQdsrWUrSpZcNjKZZwVpzUxWSCKY4GrlasLU+cxklO5rNpBnmmwzAq+MMSJTUvnkmPgfG3lCdJR60Fozlx7OXBhm4bUl3CumntHSaMLrvKJn1OqBUv2yLav/lUqSdJLxpCAnWbHi7822MNd/Uw6SwcLiWJv/FJbt4QGB4EbugI+ps5qmdgpncMJ7NwEb4XyNF5gXggHL9wJ74uPnev/n+vhz/fwf/Ph9Pf/k+0+cJxbn5yeweJAcxkGAY+B4mEdhh3EOHIc9fmC+2ngxDDGrj1b96a+EkVTK0riaa0nkLVW63gEwfgGDjkeUajZIZ0Rnq65FgobUuWaM8y/fwndghfHmwjr9CBo//y0suumAWUsMYOuBGYaW4QDw4xi9q0sqxYo0bRIQVlaomrkbbg5XyHa4FW0Ca+kddhMQzkaGpQh3x4InIyiEjKnIsNcxjO1fbO+AwiEnq0PBza50Uck8mL736rUR25Je17K1jDIRYxR3JBMGCX/hlwAhfF8bQFA8gS0aGJJCxqmAaYRiJjmgU7SJZfAdwRQ9zMmBZ+0CHdrhSzDEcaortu7Dgm/f56ErM3hYxrLvsawZFQXwRcK5rk4ak247NIQry1+iX106vnulSS8zBWQCi1/iDGmdTdpjpcdfTKpOigUUt4+9b30pwvHA9Qqc4ImxsIjzgquA5Qb2LzZfbb6NcRADZsQFXnh+8Pzg+5/r/ACf9oOEDQ7MudayYeTitQIEx7Rhsbn+OMY4bEw7HvZ4wfFm4wBGHWbl4xo1vJK1u9eRwdyNvNInn6Ut5bRybl1UihhMsqIe0XjYK3DUR//dlmo2FlgyU2hmdmCRi+ZzxgtGYnBg2XCy+cKPaCZTGit70Y1V9i2C6UzXIUOFIzqho/22aWCkczfTl2Ru9tjfxbQoidao1TvDuiM/tKjHhLnnYDDfPEohX2obBCZThxQhSJu7cWlocjGkNZvGYURxrFdim5Hr4wkuI5cNy3K7wsA4H8gk9hmCbolak7kagTmyIgF61PU6mNkxLzZhZ0zba39+P0xn9Co8AjjK06Wa706ONqc3bb/lwWIbvnZbcaQYXLkyVmpSKNet4y1kqXmfD91Kzk0sEMDXlKQEqsQRUFrKuqJ2ZQ2uxjylZbFUodHkKn05TUdteBKQXm7i+3mlcHmBqU2Mw+ywcXjYlYAtX5z0hNd/XSd42TSbA2PQho1YMxV64vtH+3bVc9qYNifmYcdhR67E6jh1Q+kdVCix3VVPlzThS+541mKPdrWwUJ9eNRRIlGuO180+VKld/BSySc2Df8ikQyIp6fVQ7s27DfVddQzhe7DcH0RgJv9JVgKMNLFjSZkv/bDUebSwRY0widjpaBXS35FJH1VZVyNG0by1pClH9d2HR2P5WslqVwpFZUIkKM2CIXnB+4NqRMKcoZkUY2JELRPP6b9oILI5xQKvcp4mnsQofZqbcSkwOS9Frhvd8Gw2UxSEssZMl4tHJmgDGtMXW7AZWh3P5FA5BkaTnHyUFEQNWvsk25D0NB4DsbuZ5swqP6uQlKF62SWjviaavyEB0/9sRNgYuKFAWJW0ETfMNWBgPHi88QHOC+MJPrkW7LTYtPXBeeDxMuYrxkvIkjsK18nPn+vzDz4/8Plu1yd54Xid41zj5Bhmw4bPmAw4MF/t8WIvc7684fUxjlcbD3u82OPVjge0hqYZ2KKLEtktcg2hfdPlGhd3RmZyvT7f4SlYUSnsmgZGcDnaCbKW1EoyomeRsUde0Gc3XBeWYfl+njQh0jQ4sSycXiDnTAzu+/QnKw2rUxI+VvebNAxUmKfhRI6oC8zmSlq7bkuWVAP49rVnRESigDH/c4Q6z0giifXSBSstqy1ybm32V3LVkl6MM87NQ/Jca4Ura4uwxevyfZ0hIxFS1wCrhSd2tdkJ3fZvasZB7XjpSp+cshP8hhr+OnzButcHetG5Y/cY8sitnmy1iBAUmcvk+EhEx8jsysiwfIM7k2PgPcMbpNiLukJZM64q41KukpssugjkBm4R40667ELF/LX2viWiWeIZbGI+8AKsC/MBPo0Lj0vp7APjsHHgODAGB2CMk0LWk88PfLzj+cnPD6xPYuExDptmE2ZroMzkmF65isfDXt7s9c2ON5sPHC++EquiVqlx48saW5BLIwgiKqhX6qbPoZEWMw3Q2Wqpo98oYpGv50SkKS02jfQZEt1IncEFoO1OUkrJYb4TujZB9whGbAST2936w3M4Zlbxr+hCSEzzKHJkNY62zw1kCkraLGjVgm2qpUtfDgSozfU3I2LNx7f+ZHHLKWy+3YnoGCBjsQdkLCxXOx5lYk4pliwEO1u29LyTOvpgMHdb4wour8Or6/1dfBKKxTAmPc7cEtZM2+8facVWuBMADAstqhoVFebgI2n05zRaxbAtQ+/++zBt77E0Rw3LuppDHmSEtHnTlBSiBuxJoTKwN5On0pXgXg5Z9UMo+OpPoSrwzJNTonFZxz2hgcaLjpD1l76W/mT+P7FVFAEAGzZ9kdDivIyH437w1XwDL4ULp/jJhevk+cnnJ56fOJ9cn7QFvg0zjiwrcdYYHcLmwzeq9l0ufHd8Gw+MWThrKPeqJjai7ZbZKh5lNefdSahmLRsOFGSjSZAz593suF90TdJVWwBaljtEg9jwS5IjbrIWBAPI+aONHs9htu0CMHrigaDkRs9LtzWf2EdHtNKbhl/5qBTgGLGCean73kIT4/BamYtdrP1fN6HyyVZ/NGkOQakOVVacMdHson5jST3VRHRJD5NO5FpWau7xOMS0ikTKj+Je1YFOI2xW76bLTSYzRgoQdqEi2d6qyRx4n6voLa6KhQpX+LN1EFJOxHwL6dgLdDS3t/t1rebvG/TY8Mt2+vYBTrUm6oTTGk0lZy5Jiy2OtrbDvsE9v9cPCLx/FQZT4PhttwoD/P4JGzimZXoK4d8NgBy0McYIs285dmKdeH7i/OT1JJ5YHwsX358f10k7MX1/HZ5z2uMYb294+8HXH3j7MV5+scdvOF5tTJuH9g5JL6X6al+Ft/V9k4P6gg0BqyH/uE2VbiYrKd4/3cyUOleR3XZxxUMI5p6k6dE039KA3LGOkQ/VfEDda/YvHrvJgPN2hS42bc7gfeo10wXYBnWjp+1DrxuE594HORd7O2zzAEHbTb9dkdhJlr0oq5DTkwDEdLUoH0u3tzl2G0LJRAq/M4MXuegbPHnBBVj+RgPyLKmpZtNlyYeALZ5uilS2CcD9YtkiybnFjkaSb8BtcMVpD5sGhi+/FnJ/tIHYvyU3wu/KUzAsm9AQghVQ2CW8etBVLdz7muEwnWp0pVQMI5SFlOkWWFih3Q5ILZMSNsP5onUb9YjyO77jB7OSxHcm4o30bbJd1Yl+0QDJi25EZvzvx9DBEAseH2/j9Ye9/mIvP/D6Zq+v9vJmx5uNF8NhHAgbrr0JUIPKbgZJQpdTzyqQD03i2g1tXmPJJYUmQwM0IUxh32hciUQ2WWtAk62ipLnfHvJaaiJ3A65GgrbgoDEvyNDQhp+uLvAQOBbok9adUKbhmNXz2gSht9iDViaRb/Ih3etkvOFhkd6AqnWq4QpsmBfH7y/ahEZZuzNjU7a8QjRqXUuANcTMjQRXJIJjph4BmCB9aBoYIbEk2kYl22nXKGL3rrZLIPCJYZvnrDIp0+jcEp/HOGwRg8RlNpDlWYOYDl4TsVO79KeRCfeufuldXNPs1lcTl0AkMpH3o7tzfsuVe2o6aZerXyHo0sIsiWNIqbctn1gnP7S1nxuT0toV3ZrtCr1iDULalZCYASYivHtcdOibh00OXnj+jNEdD7Mx7GX88ne+/sCP38bbL/byaq+/wl4xXuNYustjQwHBRXdGOYVYIIDKXc87SNXXcsrTD1GUxVBWpHNxi983sbKNwQUJ24S3sVPyD9sCctaoLzpvCtHZHFptOX0ZpUuQVjaZuyQO8YhcBmqosfRck4xSvFe7O0H62CxrKdAxTYGPW1VWTKiRFEdKVvY6jwWsS5NW4ejVOL5XvfKyw/9jGvRdYR1/SFu0RV60w8xGJuXqwlxZ7tDpRF+19ZBFUyC5VsmJcoyGcpQro9p8cxdFDEU7s2YIZBcpv/SYrxgLa2EcNSJTf4YBkzZtDm+xxfPb6W074b9QMb7kzWVI28IIFJKxaf5+ouiXzFcaz5spFHhI/3yBuTURcBQemgYKOwM+VU2T+HXr6cZsGRVz7bDvBg4QWMDzuT4/1vnOdcEsSlLXCT7DUbGXYSS5fvlP9var/fafHi8veDzw+KEKghtlb/NBeM6OxVhhTEUGc47kzay9SRs59r8YSeSJMi5Wj0+9zP2z2iy0rOJOQt1T/evytN9SOMImbu3bvX0NIySf0ouGTUiTeWusmrib2C+9+u4T/RWeXBE54c4hK0W8Tz/2NvLRXei/lLmxnLTNplGFfXpCWZlNmlrM12DwxcqTxxvMDBPDhm0orwt9IKxnVkPZvh/BtQUtU7NcRwXGCcMZ9+yr3NjgIyOvkuzjmKBh5Qn0slNlCKeHwHpBipjh134xTAJNazSqiwxtcm2tPYoqCbq90Yw89dSZ9Ta6v10TJVLJjwqTppEgVHMUZGqx1yBGPsP1oGKxTbHayHqvXf7WwvPJ5yfPD9/+0U2Mr+gUlSP8b48fePkxXn+M40HfibtW0KAeen8bvIVirnmJdeusiqiU7n5zqy/9Rqf7KpwEgt3wB3JZpvalSl/bamJTtLPioBVGq5/snsr2UBl3qu0a0v1SRO/3iXNXuvw/tT4zqrX0/Su6+m3d8Ko30Z71keZtVmDQYr417Svd2AxTcGoHgwzr97hJXP+lqMiic9aaj8n6GAbigGlDsnTinQhuDU35p5vVy/cpLyECLnHN3knaKG1M4lknVx1ynFAurYk+Hy8HoI3Y4aeWaeGoYNZ82pIbeUIoic1AfX0l/jedaj/j18BYTS/oq82TZAKk1kpsRaoW2jabbDAbPIySkVgiFFLjyOIzKdt711PCJegpVZsGhQKNZhqCfaL7deG8+MdP/PnH9fOf1/FjzAfmEVxbiQjHwrA58fYDv/xiP34dduiAY0l62R7F24NmHotdO+sRk83dXwQBLZD+Mpwv71M9gwdZ5ugMubtEFruAjtbSzvjUoBaIyq+/A+eb9dNn1ps1CpO/eTWdZSeQ39OBrI+1PZpro8tfv5reWuiMlAj7Y+z2Fwqwe0/aeJzKbNRY6n8nUXmVysGiwsx6UqUy69lltybGcDZOatpGHY2uWKW8o+YS5j7qUKCzmzy/KovqmVcSg9SuXa0bziMdzsYeWU4m6tGHg665KJgN+W+kXBEu1gGaEJe3NYXsDyjbY8UIs9LyojMApb7KJveH5FGlu+00RRLXZtrQC4TVLSMibDAaWHlETVw2hPuQ0SQLkNkCLLKopYmyRepzYK3FEQQnnp98PvHxTz7/xPUJm16EQZLXxXWuOIJoTkxgjofXlFmTAcsnhR9ssWbM2RQSWxtEyxqzHAhZEoQp5IZdQVIid3GqqG8bd3YpPRlCgXbk3nsZs0nu1u+ulOkS61lR9uSeovyK8kM2KEhpYY1kl8UdzwT7rQIh9onY0pp/8VKwtGc6K8+0i0cBhaxpkddplpHx/LJH+GpcVkkzKORnaUH24XJ3t9PaW8WODHfHZ7Tcia6xYd7HFdpLVs7TLx2ppS4wjtsrnWRqVqOYg9UoACC2f4tbqYNFbvLorkWcWV7RhhSD1vUjUwwRgu1nbcUjRUsvO2F3f60dLZqvjl/dsS8HySc7EuMmBWUi1daeMvRnwkJl9/RxU9cdxeqnCREZe65CegvpH9q1XY+zc1KqdP3FO/WTJC9w2fnE8xPPT54/1/XBddoVm+LTWWlcY8TiIZtmh83DoxGxuAMR45YlDWmPuVPmDkrBb4rc7VsQ6Z6rRc74incNvJw3qsbb5+fFyCCG5TQ2ZaZYX8+1em5yjzrJNJ9sjWsNHVKkmKamfdk0vM2eLBU4jWAPIbVbQ8CqF7nLYz0/8Ovmvbd7ACqT0sas4gSB+d36tg4EyaPXQikw1hj1R20Y/BXaZAwArQYsvc5ntuBS6KifT0WZpC8DZSObac7hMKeOiPmWf4Y8hhxt/q4lv5IqVOPxhwXmsuJXfu2RTM37I2Hv6zLpJ6b5KU2afhKmbBfbElDkz87Njb1fmJ1R9qY3jReho7IDut/PDUWh8739LvJsW60kFC7VU7R+evNkJwnvA9hfpXEyblwk8fmB68TzE58/eX7w+n3xE8D8/Am3E74H948f8zhsHjZ9Q4sDvpCIPednbh6dHbv8qqsLfjpHV8ZOTgDljX/77UahBWjNV1CEGQxrZKl4LNC5k6237U8BsazT1B3LaX4MXYoDcorUlG07q7F1N6H0i2jdBBGhw6b3V/WNaXhv3DZ9mOqYj+0jhXiRAsaW+PL2rRrcHxBj7KK7GXTLw7iCLOw2oA+5/1zoLltyJ8eSJ9A22KwHC2HK8xQM6co20q77JnRaRHu+SNRmF5H7GZqYdhPX+uLASjMbRmI511p9zNFGkrcbk5nZ8ZRDZo5zM6O2odgtwxveRHaU6mPPkcdcY7/T2JjXN8Zqjy7K5y06pyKeYakcPiif8K3d+qo3rI8UOeudahVN6XAoToSLXFyL1yfOM5ZzXye8iIMX13UBwAQP4rBxzPGwedh8YPj+YjO3m7Dql5RDga0gopY1tbRjY1nCcQ6++NGaaYYzo2tABr2qSuSG5ewapDhp80w2iUyS3lP/SfBEN9ROFsGs4vPu96qnITm5O4PVrJVCeRMgW1JEk3LpFCMbrm0f9FSTHOWUt/7vZOmZHonSnutCPHkn5h5e/UoeayY2Uan8yt4Dsc/NzbYsvCf5LcYl/jeFFFX1RTl5qWbUQeBiQN2CsHdcGYwrOc6HU/PAdPsyMFSkix54aH6ryPYBpudoR2brglhb1Z4gOxUqzaPJqYMyRqkVvje8iNqNc1qgwCNIQuTWC3caS7j765keVG97491S+dVa5NHgK8kgtthG5DRDPcRq1bEWXkqccL94+eqyizxxfeI8+fzE+cR1ARjktc61nosk/LhJs/mY82HD54+HzRfzIyaj5CcCYLDhxFZ0S3DQemywhDLmKAcy6wnpaaqztBuJEW022UvvJHDsl7f5erFYDP4SXLCegq4nAmSe4ZFs23TcoKRWM1iselYgIhx5dvP+5JTfVNXUq9E1L3uamJI6EkGRKCuPksKapKdMfvXhejeavcyMYUc46VGnWgyoHTOw6WARNFqgHqUKgxEha9YFNIi9LXPZA8iSGFEt0VKrk9vopfWpVj53jZkiXdgt54OOX0604Y7NsEbIJtKxlZJnScOYUQG2rIoz8OgEk52rhpp6hOOXnuBa7bEt1qERWWr9qH4VP1P6jfA9byuEmZxkglH7qzWW8LvBUJOCEIINpk2lTbRcxTDipNycD26PYRwnLmVqQuGsusiTPHF+cp24Tny8Y13gCZwwndDuCQOX5ccxHo8xX80OcALHGAeOB/xPBnJBQab28j9XtQkzP5kgxl6TmU1jI6Xd/tbYYItaJt42b7phwewUDX01AwZWS5jeXk2avntJUCh7mGlCAq1eqKcwd3Psf2pdsqVRS4SzmzzonsSLota94yg+731e4ce3yIak3UDG4UANFO4dyCeMchBkWPbp4aaKFN+bUtyvbKqT93VSlU/rDWmFS9kgAsSxmXq1HyHQlkSBbdjM2IZ6wTe0F8EjpEdtG+DJs0TXMltmIWlmVXXkK3HsytgP+9AahEVTDbW9UUaL3dASfmIuje0okOarVgg0DH/xIo1cGbtdA2I4xVADWkpLnIiOVuJnm6RY/6WfwbUaXTjZOaco/kvMi4hhgimraIT2m5TztZ70meO6sC7jBV6RgjTfetu7MjFfbL6Yb7ogU+N7MMRZuRaDHrKWKW+NVBZGoE8kFYNtNOB2sfMkSW09ZcKGX60cY3upC6HA/SFdezYdSoe3c7gzVeawpLowISXEJanBmCFtajGVOjS+PajTTGDImkj0IIdkdRe6RrQsVtgnvElmI9ODvoUg3IjoLtPgbvRNdXYe9IFo7BbUa/1Td4E+FbeUpdLJBO0tuJ8ZUH2Umu7krXsFJKa0fW+UtXNW+8YUagg2w9rMMYWsDLbGVfi4qitN6GAJYdbkvCV9g79mAjeGFVJBkyKkhkhOVitF2bKgatd6dsgEIZlN98t6QY4BYx9yNZZjkcp1KyUWqkwHWimXZsByx7S4Yu3PEPcjXLOWgZgGecvrIs61PrmeuH7iunA+7VpYC75TK0/wAoaNtzEwMDgGjtdxPMwOGyPIa8OOh43JIedr1xAQrASV4oKhLchU4G4PvsY5/cQnKBSSeYPFTO8aK1zaJ6hBFmQoIw/i+xIC68bESRlAVuiw0Re5rLd9ZLVrjMyWbt7HxavYBGDFjjRNAvWTKR+RctNAWvqy6N2IL8U2xHlJwnizHqLlbVjVkga+U3J/SW3UgYoASaXHyAPZqncxpsxd2jZHjkSQcY/Mbf4l4Ydv7i3LigYWLUEApcwDFb0PtLJYUL+Ye8lzGGKtdnMZTOTySEISJwvMIoLgSmdCMc3fGpGP7h9FlY/lH80WiD2EFgGc4qyErzGoNqEOfJCXTCKOpG59MYbtSsMVjBzKg5mBtNHkuTPIOdIqLLYSPMvd0uErIrWsy2wMTcR0ARQsKsesGSZE4cwY2oBSx3nwCT6xLi8OMCzw4vWUR7YAw5jA4YfU4fCdc5SafHnF8TLGoxZymVA5LWEbtKb71b0tl4L8duk0xuRwF1vuKkcoTiERsGIumkSECOYhC4KtCHJ3vQt8C9GBbczL3vuEtNulSm1v7Vm7L5DzysOodNwkB0yxsc1FV8KohXBRbSPpiW0IOgQj10EbGAwa2js3gjy632RvqineyN9m+LmKuXkyEsjeN5OSG7AugGmOW2FPe6TaEfSnPAVbgvxERVYkU1jSq7Ww4EFerxCF2fKDb0CM2A2P1F43jsO2ZCcC5atHgC2zMWzFzMajUBzDKl8MKAbrobX6UyQRvALHNyEouUWN8EkM75f3s5J+Tr4ke2KJ9z+/7/rSxHX7pFQzFqhbX2RnmxTAcjBdzbeoYDnirl8eZLSycQIwYw5X2aoU6S5LiR+A835xXeCFdbk4KMa5sBbW8i3AzV11mzYG5oGpzaPHwJw4HpafmE5aNh2LuRtsB5k0vi57VIjTAdrShm0D2JUCLpMdIYhyqyEISBYmEBao5e/7LKWz1lQEAGZyNAVMCR8X5H1KV5Oqgma7J32CEfIxGDPjEkKrOi7WbKINx2+qVHMDMSIzXGzNmsG8Dtxd6LDP3lnliRFD3gue9m7DYGwXsBNQ7YXFrYty1i77tluaRnZrOC4/beuObBBbijK7ECpDLNb+CnHitpbI9GdmlxRLrSgHUkhk01bqJFpQwoRrJfeZw+x6XR7Woe5b2U9+pXeardAfkhj0MKp126pZm7PSsrlUbF1TtzTRV3G3VNPdvZG0qdcuwV86236yceJatWWUyQFrCpX9+MtWi36uSNdaF69PrBO8bBk4EBnl5RGxKMjygOFk7Nntu4AcE48X32bHhs7lHmnbLQWsdSP5UIVe2zYyrvnUBCCcD2suenr+X6Ax3NbRcmv5aYKJVKIhiebePn60iMZGyTSMLW5pX79vsNUqJeqblEZhmrm86zNrbkfKbB9sd/TzifG02xS1ARtkAoefkdGLVzOZK3BMx/4e/bhBvK1WIdK0SCpUN+obq1Q4AMSxdH8ptthYSSiQ4DBbYEU/4SerAHwcJJfOP70W1jLERNWU7IzI/FRfE8JiDlVCEPLIiz7sBbAtf7FNKhjz4YKeRIVq0gDgUJgujsUOuq1OZhcKmbgMO/n2OwsYDKfarx8CtWUyrsnbZsOHtLN7BvW35VQ0P3LidKHg6AUC6r/FIKgQmFfZrcXYVltnwKQObPpYnVGAZIdoRBSMi/S04zrNXTBl89i8c8ADVxM2bEzLWj4zPg47DhwPzsPGtDm0RlXqwdDMENsOy4aKYRuT3UhyMw4bTxhiyED7l4pQVjzLUJJrskFBs9whOzeblGpaN6e1ZXXl9KMsRAyCySkzzdxDFs2Qnew2ZldWg8VW+hv6bDvI+79uuZokZr/vFpFpsZuBzddIx0oh8C64ghzXdrNCigaG/i3RXaSU/ORj9yq6LpsXr1GOjGZbNzurvu8CHFDKCsXXCJcsAENUYlM9EyksbYafZT3GxQWaDT3PxXV4xlZxWmzRfe+6aoTW0F4YVBVUOjLKzcOpRTG08+OoUSTp/9rDsfbLptZj5ww2HiDHphVTdJhKtgXXNtuxMTl8dBNl0ERF8FI5C6ojo6QzzzSPoq1c3JM22nRUSpD4qyXLIynrKw+prmW8yMvW5ZuOR1yh8n0kCKP5/hQTZtOjm2Fi/Ei3mFcOPwQk5COsIKTn7fHJBR0OKpVJbE/0Ecvzm6hg4N5UYI5lvCpVpssCez8WdEkTOP9ZVemVZHAhsCZr+8tUj8qCz4KC6kJ2PPcJGynTCZqmgHGicmvABGPciXZ70nfT1SYglorWLIE6HrvOhhWW5ErAUmBD1WU1oPFvVA8YMiJmxAFAjtpLM/jecpt/57hKZ5qvU5BaITIFgV1OdKwhwruOoeeS3VAhT+SZHiGZs6z+JIy2mmakUTHAjKN7oBD8J1JY0gux5V4gARELjL7yqpGP3RogAmcRMNl3mbthfRPF9rImKTWg78EjLqZcOX69sR4Sw2r2e8UqC6Pwq1owLZxKp/JGhHi/vvSWpC3Sz+Ven2N98npSoBYAcV24lrnfB8Jm4FQsQR02J48Xe/yC44FxYB6q43O027qimJ3/NaJfSfOkfthK+esJHSJ5fppi5qYSNbO3pt5bWKZIzhVw3/bShGzzltMJYkU3exN7o7c/JVNWbUPd3yiT8uYemAu3pX9t/eZqSYq2bY0TDasnHfL671zjFPErBebKJFjDo01g/8Iv6PPM9tTmU7c3bH0bCgjYvdOhKyaz3yLZqOHLZMuH8OcPgTOvdNES7UdxymAwLosAWQDkZhhDIPy9H0ySdmeBl5YFzRAawxSd1TPWWxDEovUOxevQHmNiuKNiY4HWNBBAZLk1oaEMGsqjsrqzsWgzds4JNprWwzauhUCYeOfmjuJN3LXfg2ic+TUTv4hyRePXV9Sy778MQ+g4kBDGi55w9MOfFNHP6jBiWaRvptkDYwIGGzgOO15sHhY74jq/K3GjgdYGZoU8hQjpAStEpaBUzTC7HhTWp7sV4gjLrxopyC4aKTshhU6Mlr3cm5DaZ/VVZ28MktEHNo8gHx1DzOMQDQXLhVIyfxXuNkN5gtwe2WxVmfdUixLAvZ8NNJMFZc/ij4qpitDcCdY0r7SkcacpXWulkbNiJtn9SuKbap+sXZRtb6Nq3W9X6JKmqYEjTS+tc9dxkOuiWyr6roLJiwZhzLiQms39Lka1bE2vmWVQMWuqdEPvFwAevnjSvh1eAkb+CMJppKalAwwIF72qRXaL6J9wn/4BWw1Pf34LKzOZ1UPX3dkoufFolKCVhOZ4JgOiUrfefvXRWp+Z/JLm0vFr8Tp5nVgnPWy/LvKCo9vzHevi+oQNet2QTYyHjUMpyBc8HjZfMKZKwyyi+LtOobjDDmVId8MQS2bjxnbIxXaITzIYURLHnS/N+ElsGiMau1LLmHGbzXRlelKiYbA7lIispnGtmbe04VruP87+BEsTo/hegpdBhTxjM4r336Lc1xex9f6mtRXc0TiVT8igjbqm56eEalRJQEOP9nZrAyLWlalLG6ui67kLud3u3sbTKy6ytkTxEduvbwnjTHq4X59+/3AHnACNC+tcpNJVQ7ozLCFMKT+ANhgl8dljMz9hyHPq1UnYIqsKL2g9Qedr+iS5wIgZWBWT74RIq5K+jm3X3zXsr9vRV8U1bspk1WS7PEjDLEmk246sm219k49cKpcRCQAYHi+3Yfsj8Ne9aEYS8HO5T14nrwvXheviOptTduHzn9e6OOewR/BoDpvT5oPjwHyJKoo5IuJpCqczt0fdlL4RyM/a61/afiHvd+wvu38uqE6FT895U77aQzk07L5zRDcjaNT7vhvbjUzVhzO2JDkbUjVffiYWuxpUlCwCMOz3tp9W1926urkfdVXzILd703NhgVE3ihqQOpLElMTGfvPttXH1r1jceuaDtUSjbTSdl0WJdfugJGY32pV0VyhWHp9bf1+ossJiZmWMa5fB2s6XDVyjcskMOSsdYX43BUsDYZWli28WUPFcwnjkXL4KWRq2tIHJxGS/dkFvjwcSRaCEWr+2JKbHI26cj4qoexJHVzo4G5TKcq3XONtNbAOW+dY03VE/L69pwv+3sDfbriRJkgNFzS8Qkd3k9Bz+/x/O0/BMk5UBuCkfVEVUzC+yB5UVAC7cbdFFdLPFRqFmgiXuTN4ZfJc7hp0qemLv3F/4/tedG+t3ICIurCvWhevCemF94PqsVWAcgzoOLUIy8g9FR4+cJ5MqzGFea5d71zT8gG3ScYKRSgkW+IwnnvolIbvFOMZk//ajqWzMD75EyjqZKUtr0KDVuGSYax7N4Y2cGJZMy2l5z2HhajDd+zHKcAk3mTdJ7udSu3Q0IV8t+sRQeLpPE5qSqQS6qyvShZxHGUNCdi+0vrF12nt5S//x2cOY06BI9sxbXNB6ykwgd6dF03L8JdIeFraDJPsXbkkLElsUHK/q2eZaMujIRtUuqSJfSf+FoB2kvqmwfvcod5EIPvkRMKIk/n++8gfHwCyVSeQKnl07OkoJmxpTf+y5heypRHBVSPAAOH7Z+ZakutIDbnwjEZl79yk6tf6+aFhp7v2N+0/+/Z9fmbk+Pz8+8Pp9XX/h9Rsfv7F+x/rA6xcurWKwKzNmXjDrZyTRF6+LHjptmtcQ0Jk6OfcOCgshUiUz/sUthgZAcW8xJZyF5esf+v7k7anHqRD4H2whf+OvrT7PsYmYEjx/fvcK+x+hVsAAwcgSUloq0nIWOE8eZK7GAOMyBkkRAido2Rjz/VOH4OdfTD3Y4s6+panxIxnhpkmJ92VAOWrufylSUOUvp1tJVxWxalf2msVi2khEkQnrnwchNx6dVuVBnMK948NEhqrhpaOvShpt5QijXuXiIP27Zh3CYVHHnBWnNhMfs99RrylLfY53dGSiVBGg6c6WImsFClcH6AiDKsWh14ctInpqoBSwgAWQiejKsYKXI7nM+xoleRErAnnv/M77K/bX3t+TflKxYH0gVvz+7+vz39frd3z8tV6/cP3C9Ymo9au1tU5QMXZ0xgVb4rRd+EK6Rir9+FXTkothnKM57AVuzS1lvwqq6eSeLSbAIqagC3H2OevNnpCh8hlSoYTEo6wuzuXc824z2iSnVZlnWmox3VbeoMsvLEw0aan07x3UOxMVJe0KW8vM2KL/cTFli2NGxkLm6qycLZszwTvcYxIljimzUOEcpkaEHOk+AwgA9t471lVTbB51L9GH7fuYq7fU0E+kAb2qpD+lP0Ukorau9T6iQETfmuBLfstLREJwUtxNT5hvsdakX+QI8pC9m6vR/tbLky6p7Jt75Y9FN903DaHvXWoWCN5JPiNmDV0Ghth02NjjyxWUYBp7fIYByiNLh3R6EIUiZlJNwlk8aCvPfPjnGKJGcO99RyXy8651Bu3AZyBWXr/iesXnv1+ff63X73j9jtdnrl+odL6uMaKpp9xKnuRrtwyd+IWT4xq7FdZ72EqlnjjHYIWcsJiqoV8GahykFJWnkiD0MXhI/sA/2KJLT274XOgRH+bN5cRRjIKHYWWzVhHGfHWck24100ilpDUyeRKMhOSRLQl7xeJQ58Sa+hbhxgSpKR9mE4cUqW/e8kEG2EuhuSdHyGEF+nQzGXf+5ERkGDn0mrhEXtTbGk+NO2PX4QDR81q9fVOTC9mN6VjXIQSzuqfKx0w2Tt8wDTpAKq6IeB1dZfKa9nHtYlMumQ3rlUl+si3eV9tDhfuBMlApHhplPxxbZd4filpPS5JkppUzV1aRJEYMMpHydww1oBZ6XsGDiOvDPDNoSd59f+/vv/f9v3P/yf0H9xf2N/KrljBHBNYLiPgf//HX61f8+39cH7/i+oj1gbiwXnlxC+TyyydyTK7EkRmCYA6iPYmTcvOrTeuNvg8y0kqy4slWFbiuAN0yFcVQblNMiOQCzZFE20ZfKi5c09Rw+nZjRNL+8NMURh36iYw+bM5UCzTEkIFj8vNhI118k7TJd9dyRpOt8Jsp0frDped2i/euRnTXqoj++MojnYE3hv4TI2WPweihHOrsXUKUofcmxnxJW6XfjxFSeUXbkGrknbl713esiA9gxVIS/zklQ3HqK68+nBTXkzr5vnEOBSCE8EggXkHp7UAjXeKyrTIsuOWW4jpVA5NMDfUxfa7RQgLy1MnDHmyvwvK4iWGuSo3Tlf7U5zbRY3URZ3BEZ4aGSTZeqcxDLwbCokgTsg4rd+6v3N971xE6dy0H23UNSyXv48Kv/7Y+fsfHX3h94LoQr9pg1BzWYSNMyJrTITU7odZdZU7/sMvKCprDkEc79TfVibJBsT1RLWCpVjawy6UBHf/UkAOxlucajL1UnpmEAgGccAZ/Is+xGif8N5HG0je20s+b9ez3eLths29dM0p2HmfBRC8E8o0RiXtj8AIQ6FERgMTmwg4kRvA4KU+xPCasGaezkIuiYv50gk3OfYu96mhZfdRpMa1g+OOjiObjYaVCHgFNfJ+Nn4He9rvcSPTgzZra5zRkYopbtJnb6a1Hk82LgwEAr2iK5nyaQgStL+ybkkb7k9sAOYxYz0P8rRcJEVoF4Us2/yunIdWl2mSQHFXaHU+YFNXs5YKXzeLqbQjwJHYAtNqnWknxy+6dSuTO/bXvr6xTdLo0WScaRvRFihd+/V/r4xc+P2vnEO+v5FmGPIgC0DJvzrF2jlWGT7GVvF3tFZCcO6l0pe+Dxw/yzuF24C2J9X8rheGuwgWqCi+/JDrfEWvFDfXUdD4ObnL9iEnY8HlKzkDRMVIBi2Gh/XNMxz1r6aoIRRN9fNwtB6DAr0xL6yL6D8KpzFrQjL1x35T/zivnWgHZAmpM0tHOxLLFE0KxnhmNJoeFMemcE42HPeLf56iLVW7gQ+mIjUpnR0nXT7oX7z+PM1coxn16JXB9auecMDxwgrZZGAd/qBA2UY0kBvYaYeWAABHBu96KsIhA5GtmqtLYniYFfCHp4Km7fR8ceGQgB6Q48Vh2ZcmRJWl+SOMB2j8IrGYbK9AA2iviiodzJU1m1Q2TrgcG3tNbfSszC8Vqan3xYH2w7/z+yq8/uO/eSxTAWnF9XHXm/fVZ1xHFr3/Dx2d8vFDLVrcZM7r/rIUHK8kRMH+nZ7+jq2kjjWOm8D72bG04HjKyTubQPDsHusS4YCEYzK43ddhQwP8w322dAicbB0nNuuTJhvZ5c36GxNm++pSq85Cs4xG2wM9Pkeo0XLxTr0WYGYcZfSIT+05h1t74+hruFxvt3Nx+da2MFeuFCKw6lyY0tBmssyicBT6hOHmBIeD8MhSJSaOsxBXUWgGCep54m+QKUmnqHzPCaNp2UYOf0PnqOqQbIZvtxE3kbyqk5PM/CvXoTJZzz0sM5PG9aOzmDcLmZOYZfgJAcOf0JNvGjTZieKsC8GCGwNGN/8bMw4usAuhmnyVW2mlXZZaRn7QkXWdP52BszCiy9qrSKiqHUjPIWn9/947I9i+Q6wpcWBden3F9xPUreuVq7xwiRpG4bLfHNGI00GVympQnDTzpMYYRrYc4VFVOyj8EoMCoP2NYq9w+oGutLKPKBdfKK6Kl3XSpkw5WNRyXYGQjJVDMsjMI4meyeRZySb16+na6ctpQ3XpXQwbQyQDTfTsSC4HebD4ldd1brMixd2JsZGZ501izzcjpHAA21uoU37kMgwP32hxkjFPi7zX6N5Nkxbn2JizcNMmZmHRgqPgXHXYmtUkjKH0Q3bXPy3Ma6NgiJBcSCkcysqMlVLkdMa/hMB5kfJBz8KY77t5e/TEPOLWSnYwiMrmuJrE2YkcicaGOhSH0p29PVvKMg4jJcz1Mqz9Uf05NLp9Pg0OLCK4Q4estBls3QCWpzALNYIYlCo5156pRRGNA0TZqO+uN/Y1NI4zoRO7KWC+sj/j8d1yf6+MzPj5xXbmWRWDZkaExu2GTftnskUQCu1fBEYbdkT0I1zIvHThIZg8lKmVSaRMOQLJQj3RhdRmjiOMrFl2woaYNmEPxAfwgj4GRpv7zHrNfn/cxrOeEg/4FHNrOIcjCnzqE5y8yquKDOgthKBJ77/3dB8DtBAq/vnTJZsbCAjZ2pA7bQAK5uKWf3gYPkSV5osI+hFnRGtrTo3v+og8T4rzvppLZqgNavJbSFr9i3kAiVlE7uhBhV7koSSsR5i+NRhFYdYWzxJysJyvNP+jTXXt4PCHiBwXXREZKSdZgWOmy8bprlW1G2aCkL0DQjTqy8Vun7udaySbChlz3yJBaW8658EgTPCxP167CJzQ1JjM8pYGDdHQVqE48E/5wR0o+luMp2cxUlPWSkI2RglNZqbN7572zLlNZqw5Hi70/Ptf1K379W1xXvF6FX3W0fCRmVU5d9qF0fpciCk6HknX1aRVMKv8k2awJuUzO9+GbkiB8MNhSRNWsGFk0/vXsFudKCaOFXFgtqS07ddt4KcSBZPTowDQfHqgGOhmbVqYNyWmCWfgOzEIxGaAGmbadTIaygf6Y49lm8+lv1Hy3bRNsPqQojajTlvedeyNrAUFZsh1lW9ZFIvSS6x7Izg5vsnaj7kRErEqtDCwYVJ56LCrI432ahSMGBH0vqoeVdU1wJC3E7rmaoM7R6yVB9eSykDojo+6e71C6kht98dhREW4FX30W/6jbjIS2HO359jyrvJsUgzIHFkdlX+HWuCMwxOvU+QzBSZBS2blMUT55pcAplzVQycublRxWhJtBvi32Hgw9IiEDtfZq4sHaMSDcUiekPYYbMmEDdwCQg30Rznf1kaz9FKsXArgWrg+8PuP1EdeFPv9+8P1Io45gysF365Xkd6IlcB7XGE+yz6QSyFl6g3N135QUaYKH0nkMpAWFwFoR5GLOJ0ilcyDDIs5EOD36SqBwYe0XXSVFGDnz4QOluj4sdvqDh3Hl78f564N3NFhOBmgH4G6nm7pFHQC9hPQEcc8474LpQGDvdtZkUCik6nOGejqeJn9HHBqDCkJEiNcprH+88/iRoUEmMnf0ipFoDBr1KMr1c6zj5cSjDy0JxFzdEk0c1dwOBgSUxwAQip3GKpFmeeKwkeUFYdq21tdoVdn22sASEYirDiClyS6+Esw5iwdgHKoyPPgJ5oBxPw/2Hj44mB7SSl/4O64PnsCZp6gB54uqRURfI3oYkqo2risrTYtap3rFx+/X9Yn1iY8PLN7fcYgMeaTjes/5gtFsgCeOUb0IJ9HSAM8GHlKRObOS+h58NFOZtkGs3196riJ0B4MIT3Wnd3JQ9fgxT4Wct+rOurGJD0b0x+Ejp4l0Q+Cw/zaKSe2gwBBk+oiiv3dOprhwY3/H/YXN2xsk6aHcXQIb93etBOsHMrFv5MKKWvPT88hr9nUbKRuOjhG8T36Ge4oySdLKtCaWnirvCNBMdLSblXa+E8C7wqj4jty7FsZFRu87OrTzGGUD+5E/IxEub30sd9NQx8DO1NOP0xT1Xte1Kk+Zw4HHUrBcwKvWbQavPtTFU9aLNKYzagfdDx1CgotbBEf8i9nx43UaZy6JigXcTSLpvIz0cKrYF6BUq+00/Y3z9QqUTwNepL8+4vXX2i9kABeuFevC9SvWB9aLK7840+CEZO7b8IliJpX0AIJT6p7D0/IrcbLV/XPrbJott0mE47rfbnAJQaL7KhjtnDyYI5KpUPPm6sVQkPdEW1pZkx352ipLOTy962xQFCcUJSvpGyawMyYfMInUVLcx8D4WCdPZKciMjRU07Y6zQN80EnWmfnJjbH5V2Fy0zU0Iuy4ge53G3rkTi4tdh4wkjoV6wz8VFnyh2vzgZrIeb/9QZGeiH0B2jIUHnAdixQKU52fCQAmGaAXr8wzU47Gn/JDzZGIwso+Wy3PEfrJYS/JsckuMO8QrVkh/iotM6WutyERGn8M9ebnmWrYB5gbOdQW4dsZWlRpNBWGSDDMpFNwjg/JgxvuX5slrgUsqDwVgObG7DDPYkBEa/W/D8QiGxjSZ7o1LtGJ9xuuvCx+dA70W1hXX7wheR9S7OGXzPFxbwV5DyDu05vCo2geBzt+VNw7AgBiGBDSwQXsoU7kFPyXr3DRrqB8OYW+jKZLk00w3RE3OXdhpV++ytMeKQsxiMiSHekyCkAQ5mcae4B9HfjjNNxNYYGCCFhbDdF80C1kXUGXu3H26C81Yx1P6L/bG/ga4eyGBr11hKD6uAHCtvC5EQeGaJASyEhGdN9cFxm7Fm5j7SA474cdeRj6IMPMviXsrB0k4Y1lsYCgmnGufU/8R31bKuo7RakLJUYgJEIbyHAK1V/yKZApMI1l6Af5Y4/MrWHUL1FoBncezOgd/RVxxZV+5OMnQGqgUYCb7hkZEuBQYncDxX+PXj1/NGh33/PgbYaA5s8x9ly+hvJcPo50tOaDHQytwfa6oY8ABRK4VEXG9Wrx+8L9BJDiWzCS4t+Ex/WNEsgk2PvnnT2Iw+TdvryMBmIgsI9oQYGRKCF/FpY6+eZ3S9Ehbl2+DB6W2lNMm01Cb+aA4gIqVvRRGEZNK9UuVk7FggiAebJ9qtCWG1KnsBqyp2nYdB5H7gVozUatY91xUSXvTjmTsm8qWgE7kzri/8edPft/5mdevX7iAayWA66qFuLkWEYW1hskFi1/u907YHWf9EjFbAg+pRQ5SyKL4edZsu9ytXEs6o6Dz4dN38pJ3SAadKP65M/u6doiO8JPrq1OJu7kvyOrnbtbueJtqsJIEHadnX68puUXdO1K+SY4nXsuxC8CiOy1Rpb0Y8opWtIbnAkh3SUiexviwh6YpWe+gu0cZNIdTMNNrjejZLs5+/IlsCSeB2WISZmYCcVS6+Pe1Eq+4stVnHWU6gQ5fi5lK+so/dWp+B4kqOhBHgK6yhGb2vsioSSlbx8RWaJKWkE5t2pe97vUeIlQwZ7f6ENStd032Dya1euc0zE+7Z8sEGypXbWwWQsdAmCkrl0sRpsOIQAEuwTcaHpZbbB67oS5ZvxTSMTtfZ/DWQsaI1r5M5I5dCzwTQC8Q61ROZt74+tr/+jvzc63Arxf2R1/E3RgB5uokLGfUwKY0c5s3Y2Izl6p5NKM10QG8CqSukL5ESqIQc6kqNpMPQncFsxxGG4doCKD3iJFPSLlc4ENDjbaoxhoR1pPywq9anuT6qK8X6DVdC4nYiP291XcE7wS7eBRmyvOSpArsJ3X56Go0lk+Whsj51bOGI2+uhp1Q1gPxapHMfvIAtm7Ndp5qVwU9grS/TPwf3bssQ4zIRFy9skZhd/glIVwqIrEydFPXM9WINgXmRCn0nxf1oyRySUK8fVNMmAFsU8flvwGeVS3DL+c5AsGL9AJY2CuyPfS+pZmgDKpjKjLGMZYxOyzYGbB1LqQX6LitW6OdkTib1pEJG9rQL8hKWPv+g0nSWNAAgsXP0Ni6eFZXGO+d943YWOg9IQDPueQmljpJvDr5/k4A2PjXv+7/+Z97f14B/PVCfiIj94W1opL85d5WTJaYbZYasGJtaD2T7LPJh3RokvcQ6AGi5AKuiFfsr7r9tcKAbos732Q4shBJZJPHoBEGaVjrMKT7SXEWVlggo2wrb26iNiZVMje30V3tHyw6CuDgYNKKWtqaxnKAxxppO1L6TiH70nJKjpGJU5HYxOaACww14hAvPT6gMw3RxnIH1OYWp4m0K8saO2pRKWGMzPLOy3q2Aeh1Kn0lOo8WyQHRVvTozbNmbgA7Pbhtj19qQKcikquH3EmIlN/gf5kefQXg8CkMSJxiBwlrmNRLcGjcCyOH47QhIemsPKrm1qeYez9tw8bi0pNIjZ9mIOcGrixk5KXX0XF7Yk5et4nI60v76PjP6eaIdchVC8GsjSz2Tq5PkyxK96KJCifXxkZkrYTKWp3f06nS/Vqo7EItU9vIf/399T//vy/8xhXX/evad+YrOAxZp+dvPc/9nK1QS2c6xpKFHpI4TWh06WksAGPvuUQqgb0yaHhLJM9FqZ74A9166CzE7p3BRJ2mBoDOFO8AJ3il6Xzq9Z3Y+25mV9p9Rd8J/Tzg3LkaQL6kFzn9MN8o9lYd37A0pUNBXzJFNrZOQaL+zNDbi6YTodYCWk1kCwQcedhgnVWkxp0cqEoJR3LsdwHmDUrUAHpkcuL9TmLcubY5CSDqbB022BrI6LK1UXlDk1d3m45x45Q/V+WokxfFjjpXJfIg29GLl+UIALJeru7j+dC/7zJIHsblgRP99lglD+9P/OrP6FMAlVlrzdJ6ORBYXZsN2m0EArQc7e5eHL/UiNlrkqllKqEUvfciDllv7LH75B67gJbe1Gq8NhyZee/8+r6/vu/vux+MKfdhChDt2JvUbTk8JgDlHHQcfUxIscS8haT4WyhSf9iM1yobpYMBDJzkg5RXpa0usJZqCkeqtUcQIqJaljpTITIwSRqNZwLVzlwl81dKgjrD5+tVlpXLZZmji8yLo02DUh+rflmTGgYTsYEuvmyY+JYsRCawInSYUlq7xpC3zmgN7l516Ky0nwMRsdYQuM55LTFoQfQjQ5OStbhRwz+v6Zij5SoSjgmS+soBWjjUf1OQbwglCZT/3iNWBeK4d2OEVewM6cNknIFSpY6HDb+MqxJH4tcBnZu8SVDWcUqsNEaXSncrtARgapWV+Gr/KK7IUOFJLYnUE+X5g9U+3584fndzYMSXBGbQkFJUp2zQ9NuIbUpQMexC5ealZ9iRO77vvBMZq2//A6KvgOllNzrhVHkGYmat4cj14EU9IvoEkypOrL4PrcVAp6v0qwrseFZth/Zt3WaNjL61uii5xgYdQuMYVhWMTkuiAdQlbZRjTXkn7i061ZlUGZErVnDhWJYSvLG7MP91SCXnT1AerbHD2wx4XKDF8KEcUOvgUCZkyq/RWkEhDNXWYwigdAjdj7xzZ8ePm0nGOV2P79v60clvh5Sxf4iQKZzU9Qw8e04RsHWq1VVZ4LEwEWe8TwTlVNTnYUWiqcL1eDOLKCTNJntGbG2/68TQtu5aAvchGTVa67rM5gMmFKGc6hHgLRJ96FyWFLFSlGIpHl0YWnAs49aEgKr81nEgJgWJFkz+qRsXBs+3yfLB2JPdOM0lAjuZ2sPqO6kXXQ1SkdRu31IWfa24FrjBiEDQLnmsF9YFXPI0+4yPvSNivV7X6/N6faz1wroirli1Iy0iVrlvfkozAFbYk+cyNRVjJke/ueYzApGE32PJ/ImONbUWjO4wMns32eNIAI6oaZpRqcAlxjODaTnxwdRppUFOVnrGxBtztHQ/Ct9XH1+tNzsCrJ20sZMi1IfxvuI55saUYXH9uA8N90hhxkrvMcd3pqObLVuByTEPe9iCLW1RMNTir3rW3q40OXRhoNCHDyr7pXaShjZUgBM3Rv1CbxnYNAcKFDYq/TuQUdOKY8CcgnzwPfcJMXPaPaUNAPRfYGJxpt5OzGgyB6i8B09o3GZocT4gXo7FGIYNkJi9j1QaVDYBj6zasewPlAz2X5WzCWQGSIXICgAFW+p6jAdthEZNV2NoOGVDxXsiAM9omEGWkHZuNRdzycnGe/lO3XOxapMz4qq8rCoA2HdErOtaHx/r9RHrwnrFKgiLVn5Eb5jtWbdopgwtn3MvtKuYzU3BkETbdKbzWscUk/kbpUg7smPDOVpszfVYAITCNRa/PFL1VGkcHR+aAVKzlvgwq9jtLf1QAURopVibkK5gQ77ky3Lwxky3bcZi/3CpnvDjpHurci3KSwAXTj/rQIkm+YphmLt91fD3PvErrBGeuBaGvuJfy/NCZm5m4ArFVs79nTjHgz5tiYpigKLtQKJK1a8jDNw3HQgvm0m65s04ROXYtgXa1u4ANnGSni+e6/F62jxIvCHKlikEaSdDWlOd1UjcVfPw4rnbJsLjYv4blPNBN9tRUBKwPeBt42AHl3O1ox/w+Bj2vG51OBgOijU1jF3u18rOskyO8CQkpxzZJvBjAS987xbm70KpG/GK9REfH4HIwM7oXMv9Hd9f+P7Khfj9Gf/21/rrr/Xr3+LjM14f0ZFRDAgGl4jXRDYX/b7rn6ehDnbXhvvMhxJvyhota7JK0V86UpwmrIvoc5yfpCgQiVXbuhvqOhfUeafKV+xGw7cv406NbePOXnCXNEjx2evnF09lqGPPkwsP9s7YWdsbOs7PjD611UUbFLRCtjmKlfLV027DdkqCtSH1S609EB+iH4gDxkIUYG0ArCIQs8UoWu8oaCIyeOJ8gLmX0eRmgJ+T+7N3itGmHACDkrDpUDMNj9N/7fVfJlDHKsvxHtKt5Jn3Bw2zFKrNTuaJeG4m5wct15v4zIpTM6R+VOwZU55z6BCJKJLmwbXuUqWLOdicWZYZHBXTUWemws000WIzYYd/cWs/I6mjmSAxs1iXpJwQgPnjsgzxoORD+DpWyqhV3isQuYH9teMKBPKistVupG/Ujcj7jlfE74/r8yM+PuJ61YXtrfFJK/Yo82TKCfMZDf0CBwf1OR3hKc6k8VYMIqB1rpuNc7bOKCDbEw60UuTyAVCRPaOf/icNxOZCje97Q5jCp/L2ycaTTa+tXTu1TaJdMtUxavQvMNUHnGLlYhqtwDUmab0lgFiUFaSl/52J5Jq3XPlkGEj/PjCXxB1eWGZu2qhCL3qwMrq6PaVV/aEiKaENZ/+DbyUGDusKxemFZfDoNMvbUUK6yUhfkTH98AGCU71+FFP4/qYoF4jRkPWbCyszWZZs+Y2jL1KnXf7utpnfHTKyCuluU7tudsiQ3e4lBpPQzvZoerhaeJOGXjW4aA+AbBiaeTqC6WNuSCS1nVHt/S7AYnL+TYCvuFrcDKo6HVpZRRI5CnuDfC0hXBEr18K6kOV1RmTmn78zY3/k2lcuEjnrHLHv3F+5b7zW+rjW74/4/MDrI64r1tX0nqNm1GXm3ioWQubZxUq2UuAtwhG/TMREgUbiISNzGNFMxUoKQFD+2SovVw2EJ4TlK0g6KjNc78fkIMRpyjxPI828965KX62qNQiT3FRIjv2du1cYA5kblTMb0Xj9ZMX0fZDzSJ7KOTC73WRRsSk7kmrFDFdRwYQ0KakkYwjBlSVVrtgbOqs82ty3H3u1Tetbzm/xS7DJdGAPlXk93oU+BHCrnKpAGZTWd+3TmMxh/fq++z1ITelcOn1lIa2bk9TR2QCY/tnUrBl9k20dXHPDPl7h0WM9siN3puL1cVJvyvXD/kbH/3QUT3yG1bJVKcpuwUnQc2viOHXmW3sNMQR8eGEFJ5MoyzYGng8wxDv+DSCvSaahsp0LeRE6apP2N/7+wnfi60++7v3xgeuFndjfyD/YfyP/YH/h8xc+P/Hvn+uvj3hd67riWlhzGMi5VKhAd1NGnXEdBqVerFmH/UrbjRWrq8OcgoIoEVsLdIU6Q5AomI9MfCfK/GiXWgwXhp8JGYJ2m69DKs/nE0jcxZGbi/BCN+NwCUUh3Y7vP3l/YX/tOkK+c3YXhYgw/vJuRnAqOHfxCAWS3JUg/BoHNpRFV71fwudmokcRzoVxETCeftGmE/lt4iOYvdKlRN1Z0DCUJgQHXvSjdvUAQi4IJPYkArtXGn3k/1AGzg3UZguSxo5OwPAGUrR/5HHE4wGSHI837Z5AidYg6WkyxKzguPpjpS5m2Vgfh7atVgrG88qjt3O3jIP8N2f+I92kkwBwwtc2R2lKqsVKLTVn2lrj5awmwdFNxzzMQbXlaIrr8ydPjRX8sNJVKyNVLMN3LW1d+L7KHkQCeeu/wM4r4vOFjyteq441bSQwN6kp0jzx+1glTY4GJ1aDNHrok2mn3vEShtuERtJE5VagqDsHyvpZ+vGHAJ+2KvQePyyEiuN5AhmmrBlNZ+lr9nnf93fe35nffVtSREZdOkN4rfG9DroUTerfSpstt5s24mwp6URXQ4KWRiAza10YwECmSTCe2MTqGpZ4WgPZym5mIteKjKx7xSkO3MtsWYLnUEstTv7VsocaELP76pdmhebsvBPdNPJhmx7QhuYNCjZySmAmRiMWTD09RFXEUMsJAEtLgCnn5wllfMU+GjNzjDlH7CIDfSCtEt5HmSCWPgjMyv1wrk13sSdxrmgo2/YIYh0CH0N1ZHIKe0fSGIHQgwKPvU/5Rhd7Vh9Xce7KuAu5VmauK18X/qz8+kp85xfwGyt/RdFl37Fv7O/Y35kbH9f661f89ev6+MB16c6Ut8Hpl77bsPzZmCB9SHwUNfKSMaEiBTq+sCcdzw6KRvTS8JDQVx8s/aPltTD6GP27hNpX9pE+z4cy6GIWfkWg7PCFuGL1baCdrMiN+8b9tb+/El/Zi4kDfYwdY+69A7W0VaML8VGd8ZKunGOAYRKhM/PLXEobzUOh5YkcljyX2I4GMFWVqcCv6uKKX9IlkFysNvMHnnH5Yimc7K2dQsT+YmRKtbZeeVkgN8OzU5t7VDFUoQtYABGkZ7I55jtFMKGbCFEu0Gbqd4WaYbJiluY0GaovM5ugCbQyEWPzACOUNQdAldxu7FrGaSCTEVH1pt4PHMcGl5TT69mc/nNr5gEb0Vmhsg55B5KrdpJwj96mP4x25ogEqGhXht/VZ3hyGEpSckkO20bGRZqWiu3EirhW9javjLjyY8Vrxd/f31/f+ff1UV7rx+/oKlt1sXC98PGJugUZV9vBWJNbnHsas2W3dLqJtUY8YUSdXPNlyBO8fUDSDBmhScDCfhMp9C1PD2L87r6+pPLWqrEwDG1ASLMlsB+ggfTzxoy+T6ZDSCTm4Jl94/7Ouqe1t3RqHRnrmPrvdU6Ulpcltd7xtA4QThMoqb2SoalJmSCF6QI9ZoeaUKVt4JFZcz5SDcUh1E1M0TxzHBlbuBhcC0McLPVBuYLhmOr55lbQmab68qH37Ed4AJeVIMWyFlR5MMEu+Y0jJMsPWQjRsudA3+kMOHrCQhGAWW3VBEaPpOblUpcYxc6VND9hP0C/tmF+uqepQc1nHoNkjJJiRUpqJDwNQGOWbBojtUMTg0vjBI7CbYhONqpAG+AO4WQgFPrEAnIhV+zoi4gQWOWUbdzf++tP1iVs1+fK5I63QATWhdcrrlrUusBN9WQF+OuIVf21tbpRnp/XrRSGAJ55x1g+GVGqZF8rqQKCBGDehL8paV/WtqTbnKukAQGJKzfkkAkJxWyUpOKWIWQ6olPhO3v9RF3SKgOb9ePG/cfvl8pMvJ7SD8tha+KHK46CY1m0Y/G6IGxmoQGfJtVpyJByQIspsbQ3Y9YOjZDnNBF1wkagb4oTlFnmEn1bbZnW4qrOLUL784eFopKfC09wsKKHQohwuwfAuG1vz005pfZtAyOGEgfR2FlOkwijjZL+5wAdymds1rS8VyYdW9hqkTQuugOLfrTCHP9qQ8kt+N0+wwWOsbXOTq1qvTfO20DfkHnwy+HpIU7vEk1KPaceTPhlVy64raPxdGOtXnwfVc1YcV14feLj14WM//Wff+7vV+6Pj19A9CljQF4Xrg+8fuXHZ3lhmXUyg21Zzh9+AtCnGw11pU4M+6iRwn3dQZDzPOokCnNpBd8cgvx+HPZNQjGEM+RHKT9lytT+p6/69B55AADw9Me4zJmAsrDYd+5vZF0V9tVHsdeau9yxv3oLU3JV2YsTT4HIFKwNV2a4gjZqiEtTA8+8oM2gh0j+oGfJpaCDUkIgYrY9P/yypKNdp3b8MO539H+KTMGDZ1u90t4w3eeksx8/FTitx44pCWMhytp8EwesKCdormuIDyNBKrcD0YWfQ3SSf6XclZ8ZbHlMcdFzjk+kkddoF917pUEGM4lIqTUXCahoqk6EExZEyotue8Esp9Fm2IUjdrK/86svBMpenNCO1/gJRnQO4aGfjfxjjCxRCMRCroi6L3IhF+5Vx0nH9Yp94Z6QJzNYMA9E9FKMWKkrGEJSRVrIU/RIkVo9s5AxN3Mp052OPQNEDuvBXFkvbIpBRSHfQ46ksRqPGz97PFIjcZIO5qYxojwtuRJNk1FoVu12J+Lyxn0j7+gQ8rtt5OH+ByFME7fxhHN6njDrXtkcR+nJDM8kD7F4a3DerM+3/8FcX4qfNw3ArslL0hRTO5sXXFE89Ao+8gZ8jidHnkFKKRQ0LQuWIokgpJoRzlo7J9en/Why3eJQq5bSYFbBzVBHmJ+TO5QZpiEx9K8jv2SxV/sC3MRHQrLMKlgcWwIa0hnXbD9x+opR5lU9pMjIdJJuPpFq1ZKOR3bV1wUygLPOB1I7DUWGnlpVtaPd+9L3FXkBF9YLrwt5xXfGvXF/5/7ufFklJNfKumCx9oHjOTYOa1zKMWpr0jZNHl7gxzGXDc6ZpWVcOXDDhUPaBV4WLR0QFkaD1c62S2AbaL11qOv8WDCg47DGKoy8TNFCVMmsw9jqgpi+dfi++4A2fCPSz/jpbMpZkZzu2HCcmOcP+YdJFDUJHILEiAfwU2vlga8HnlO3Nck8xsaux6zPt4Uo77OgYEJhmt1KHpsdKrIqfW88tYbLcgb3DZ9IdLxBp3PGlc6+t7dIZB0EahOkyJYp3m3OHmbAAwHSzFbu9V8yWnbmE3phLYy9EVnb92wcnnfyrtWSzyWEBW9rk4h3NCtmEucPP3Rm1Ar7EyHygZHASED8TPTxROqXHxIGkbhacy7geuH6wMcn7l/Y3/jCnTtjY+vc5sC68Hnh9Rmvz3VdIdcjRpLMADSO5RBiqBTkCoF7QDZrp3+0RI4ZHOlR7BL9L51nRqHdqpnf6tXCJhx3mRn1D8lv/GRyI2vRNWUvVAI4giRHBCATNxfs37WctfEL399Z97DgxopcNDfi6CvHBukPg5nK+x5spdiMhuSwwsyYYfcDyN11Ic2TK3if3sdDqYdnqVIO05D96dAIliGy4C54MX0/ntO1B4lkSlPZTB7HdJhYn/e46/YMddSw+gEos6zdWxx3PYlEa5SA08dIXsRBV3fmXfsZP4oAFTdGnOEjANz9Qsyd7ZmZXdezbYeHpuaPeDsR57CbA5+kXD9/go8AJsxA2lfbMzFdLudjmePg7YOHB/nZ5Oonr4XXwvXCekV8xPoIRFVwK1eYUSsWX7FeERc67Z5wamo2oRNHOMkI1KKhichn5oSoaFgQCGHsKX8b3OlnRjRTaVPU6vuYKsrkOeMpKIdS8PxASTdxuXxrP+HJ7MksTgogErXpPcnu2kV04+aiCp3AM8JVgyUx66+v1lomBOZut2gMPUcy5Jz1BqT3I4o8YIPQqFnkSAtHVAJpIHqGfOdXliJnTLZQf6AEhGGvd5Lg1onJpvssCxSGhfNA7OBFGQFGXgmmDNhI8Nou9Cm8gUCu3hBEcg1AiTvuF8jYac9N6WQ2byJEPs/im9L27LjfUCgxerppf0KCPvgFdZB1QFYmLJUwKAB2MMwnbftej6k3H29Sd0Fr0EYC59fUy4xkA42VQkl3G3MSjD2RIB4cAmF5SBcWJybQELYSnxfyhc/P9fUL3xuv//7Kr/39vePCuiKQtdQhPnB9Rnz2BfO8872IH8eUx+CO/7N5kwgknOsE6oIiGqumrSw0+vgcgZqxpLUaxK8lDTSvrfMHXCwvcj1X33b6b/wvsJwjCV6hA8ROw1yBNpDlfW3knfvG/Y37C/c37u8+Y5Z9U7NXuAgm8GK2N9GHKkf1UZ+TAoM2uimAMGwpkRiLdQjBZLcRwav3sl2OlTm6Fdko9kggmIa66ph9p0dthuvhRyDQ93/PCdwndM20THlr6kWHBay+p1j6fHgCJC7LbIlCsW7QyRVAl4csww1bRV4I/sMI3UT0ByqarBlOHzWR51vd2qStaFs4DtWXPUphrvUQE8/yPJ02IlbaxdBMYLelm17e9DOslDZ2PHzOmWTQJJWIAioxPzJgb9ZQkm06iOnYILDcq0y8XvHrA/evAOLP13V/LXz1muU6028Br19YL+6beSPMECgQtGrjPSvAtlGYOtWDSxaDw6VV6+4KpLB1stwmEjQP5DDovFziF8aJy6netTejkfDqAAl6ZttDDp616UMhKdkI7H0DfU5R7rz/4P6O+xvff2N/4/7C/u5zQSYCtbvksrEzX+1I9Hr9wFywoP4N4mEk8oziSWDnmgmRKllUhwHGR7gRMZRzCR72PPgsc5H2zDFkOIwmIraanok2NihLCvvKMnxHapSir4h7/lSpO8OrjLNDUcuTuhyun76fUlEYcRPQtgFZdu4yszjX4ZzoeiJNg0XE0EiKHZJSn/VpPIwCo22TahkBMG2YqSaDd2W/lMUPHNSeP9oQIQyYWXLKP6LqYdL8d93CMQIRTR7NNxbWyo9XfHzE3vHxa0XwAOGtDCDW1f8JF55jO74UdFAaHrnYOJ6dH6wslynmo6PAbNupCY2VPzW2GjiuACG5+j2DeRoO5gJSH7oXEEieNky54M/BPWOpmRYU7JtHfejAj9qv+9DFbNe9PIjc8QKd+S2uxZNwRuH+RXT2sS8nwYy8mmxKZp1CvI98UKvfhBytgc8M3DDjAe/+lez9+CrzOBAkeMtE+S6zHeDZJ0DfZA1YKpLuJ5e9mIhNJkVyWwAUFrhPYD1m9ELuJ505mEDkLNs+lblF2KB7P+ZyLuTISSRm2GF3NrYJGzJxuXF4ECj64RTvxaY2Tfl4yVx3Y9juuV9JzY+DqprXmALFCWGPvUnF2xDwkI+Dt/HWoJ6/cH3gr9+IiI/X+pP4O+6/7/3nO+qUgddCrLwWXq+4PtZjb9r712kQqSGyfXMzvG4q0cOtqW/BL59aWhnk2V5ikD3bJ8TOjtdAxuFSode/lJqO/yEu1g83gFzscJjLM2fsGiGVVIFE3df59x/sP9hf+P4buWPfmd/YKmd08q5qfpHA5o6l10iDeQcwMTjSKAemS5fNujUJPDgyNexQShRtNo79yEmvyhQlRNxi5pYiiVIzUOOPDcnEMs26ZuqxZhj94nqy904tLs/soyRbs8bjtL1LFdgfX93mEQKLkDJFCqMHhSYFPR7kKX7jZQ1+RQlVQiOxSDG91R5JSMAV03OKph8lv28LSX0+s7RMak9nm3gfrUUyP0SXukVGlu8xT0C7fFplqIiBzZsNOHKdqzsQ2HthWjq5Tgqw44Rs2qGpn9VJIBErXp/4AHDh9zciIzLwv5lyXhmBj49Yl5qAf3nWEkTglrnu0RYuSS2iwSr4pHwYgaTADsENvwxTD7ThwEIs1SmD0Q1klTy16DiRWZlchV4doDKy0NYq18E22KUVfe0LyZtcn1qVx/zG/s777kX5/Z/S+dFSG9DK65pOIvN1OBO+LiwjJAdAHpfaGvwoNY3eJpnoZFMcj6YxUPrvbGL3872Nj+YQVLSYQR4DGqCbNk3N0BSd9/11SXsaK1prF8UIAGJ3ccU8zhzP6BH3kdQeKOt8DQnEiRXRUz7TP4eLZYHXIPXEpW6RNO//6ou1hOBcZKs693sYBBAT9TaXyfrF6g1KPoyBZokNiN+jpLNYyIZOpJ155JglvaCygs4tO+btv1juQiDO8rwEw6hfhInA9YGPSFz49R3IwF5//pV5d9EmFl6fS1ecSHZtwjYW5UeprgJaUMgosdLTpBMw5IniQU6GZwhoduSUmP55KtBHuKaBQTQVAOfUCJlLP76eQVBotjPrAOpoJ+Sd+zt5WqSlmJSNGA0lQgn1M19v3REOpIbJoZfhWv6AIOUni8PWtkZSD83VQ1Rm5ORH0EXJKSmJANkkm2UVGu5Brp+GUi34Qk2TztRKmwcdInKVF6bJZOzxCgUcPYl7Enw4ru6dcfQQ6kJA3RjIxSgz7I2MvilHwnIAR1Djklo8iDqby3o075zRFLgrSIC1eUAJiIpx3mA1w8gpM09h10zH0xpUhxVc76kHdI1/0pxw7EYOjR3AltH+YS70m79HQKBVbyvS+CWj9l/cW4gAFuIDr1esHf898vfH+vsD/8//+6+dG5kfvz5+/9v18Reu11HtILfOpur+RFJJy3VWhG7Y0lCbkgMth3IEtfPgdQtCnVUDMJfbt0vkSJ34Bd41uXkk9Hxln3bMbWgpZ0ACGTEbmPovySqdywaA5KGsX7j/YH8h/yDuBofQSQpOrVPAAdTZYy99PqGf+0qaWwv4pPMebDmieps2h6BYkntOQ5N6MJYCrHmHPucjBukHQKgMYLY3VKpnvMqRzBiJ0gkDK4KKVcay/HxSZjyTEMlycJ1GoJseW0d/VtYxVUIaZQyRG5gUOlEjGug7A92yJSa2mD8yV6TYGEP9K+uQQY9sYIDVgZOywU45tHQ+jTyYqThgiZ80JZUuRc+STR4Lj5ytONgQJ+P7nYZ42T0wVjeQk823REkT8pnKUvE8YkV+fC5gZ8bnv631B4n9+o3Xr1wfO+p4w4fzalKZ/W9hQo/Cl1aMnObUa8AUQW+uItkYAw2Dgc5pKGOOJpNRCMePSblhqgs5IMWq30Do/NTQ2x2kN5sl1ZYdAYKrKFALweqcNUILuk4K6hJtc8jFdCZFvM7WZ5gnQKjAUSw/gAzMYNjzXhOHcaMgIKZ0K9oJrA576iObvI/+4XxqhpaoGzaxChu6u7vbEo2EJp2SltCtmO0MepMYNeN3Q2lDM2JwSOGy9qTNQcH2JDJq73qAvnssqz4qfq2laiSZhbIiA6ecAlzpbacc6pmIjQxebRdWAOHAOPm+CztFTORwLPwlqu9Bw0OfpVjRD46VsYQKe49DT8b22kvH50SxHrly5FLcMJ1EzErW4gd3F8iSJgt+n5+xAmvlv//fr++vvff9+d/i9QvrV8blYDo4DAzMCi+AXljn/fOZXrOOSrrNNGv3l2VHxSCiWDVeZ/DW/Y6hPUNtoAX+rRU7M3dkhuW6joWERDYSzyzBJDrMeoWbJ1mO7MVvyoLtG8HL4NAFgIxeysLhduNZT61A7SX54aQKS1/4H3N+MDmUZOB8NE3MJLwUU+JXR0Dz10dTIbynTvd0JLTh2Pfz16pbXflEzlEcxDH6Ppe5wdQlovlYav29hxMnCSa119yO8w9EoESgFv71isAU3az1OjZyLmGlr7gk7v60U9/1mSPtfI+zjwY6zV4QFae9aXYaHWLWLPvOLCN7fW3hbRMdlTKVMAsaRq7I3+lRxiYwUJ9uB/lAdRDdeOrRjNqAu7VQNCtqw07s0PXSIlgAO5y3dHNU6MfC9YFY8R//43Xfe98rPvb1wvXqM6alz9FS6zADJNaWx9PQbMl8AB1YlTaFNbhWhAwFh+cMyrpltg1fxY8o6xkn2UThbIetfDe74qJRrulzvMoxDWCnJatlvEGBiABvgcrvzBt1QiQS64XcgbuPNtp3ro19zwh8p1qANwoDL7OXkR26dK7J9JWq4/iVlBI+G8r+m6bY38lLubQiH47EtRRp1Mp+mdUvytA92XH0pS6mt7EjroyncaYeCIuVkB3MeIQZMc6IEZCj9ZEqNqLnOPeQhkkE19B0PYooymx4WbcY7JmZxvNHTsou8Jjo8CxgVL9FEEGxtTEz4GyBjFxzhNQEaiknLlhUSwM067WPreBHaR+bQvc/WgZio5KN6dPJ8zSuEzN03s0oqIxinuQyKtb3ZQlbVAljYSE+f2HvdW/d730m70bFxgbO2uLKUQeGX1OTGFrHgWLRJ0UN/DswyrQI9mfRXig5clq+lCSYybLh6imjuZaIl8za2Id26ojPDIM3shN16DktIn2N9zsn22SMLIoGEwIv/0tIK5354mzOnzQ3Wd7wx36oXYrSQQXhFPUz0c2V6a0ZALzm5Hxu1Ab2i3YSCYHTWlt24UK9sQSwAQOWcx6uU6cLxtCWt/ZBENRf+2THkXi2NU5hXtCQJYf9kz17Q/BUtTJajGMoOTIkq2Ov0VNcvoZH9BnhJEYVOXdVyYHFWCHmSf4wU2FT4+TSyAlNCeXqXeQ6wzPNf1RNYdKBkY/AWnnCoBmZRTYAkH3CRFiJ9WS1ZCYCV66/Yu/4vluIV9GwrVMPNpPcH5y23YSkVWotepJ7CfBQPgoH1tP7n3E1hJV/HV0tXsFU/lEL6y9L+Rt0DrUyQQfx0Vk4t48NSMUNkulJ/vvG/q50GBX2io6LikQ34rIgDLPcpdafrquJ8jpCp/phpIxd7qzj34QCPk1hWi09QACZwQuZzQqZNRrFaW8/z4/raQtuzPixZd1ntAjAYTjY3SUQuVlwVBL10GhFtlodM8F/4OE5y4JlzF4qq/75C8ETCqgxlGXSo+jJQzUA9J1YR+UhEUqBebzX6h8JxG70YTO9TykgZWZ20ms1DVhKeUcgo2+czj4ObFN4QKdMyqPQS99Fg1mhoo+a2IsAkrWGjMJ2JgTcnW+GCv7u7rMZMXCpagaPxGr26hBtSaB+X7JVCWTemcBeGZVSCNULRXAM3QyfNxALK2tDYF8+muIDyN/wGQJ9DngH4TBXjHkDrUJpeeACOD9richDgSlRzxaPjN4XV1vP1oghbcdudB25IKIHUEsLw/c+muNPa5ZuXGZ+J9m6gWQtMveBcTzRIruqtBAXFgcw1xBG7ZGIOo4tVu+RPDuXL5F5DKwaYdbGHpUBORqTbBmKdWLJk1gt0DRUQqynhZkAO8El2gwEDqAvGLJghgpiWa042iUd6Xr0YA6lIocTvSCCFifjGLKkUILXtsqI001Fl5yl7pnIpShLg60URmdiGGyFhNDNTeuY4CRIkANm7SsGyFDIuTQDt1ShJ1l+GpAI1rDm8oTu2DZZPQ1X1aWGZjMg6OX6FiJzQOaLmpuMqSzgTP9G+FuEYBMX/qR6W7EB2vX+yDaRGbWx1+Go7qWx21ARs5Ru6oF55qLaGJw2xcISfto4pgzKOzw8/hWC99y7ah0SdUumRPbtGiYy0Q+5ZX5KGQdVjx7L4JL6/Hjb/tu9+jgn0/94ITMWuWrxyVoZK9bKtXoX6pwXZibNSmbWaD4mws/jOXnBluZ4PF1YHFrsGwZdo4402TWBR6e7bQ1iPCeR1VJQ3XgqEzxuK3sJIOeiicETp8o/fzWnTjuQwFzpOVPXxHqSOSpDI7eRKzba4Z08QLCso7qpGivsiDAhahM8lacZ2RPFSt5KKxv6VwCV0e3M0jQFNJwCgdjMax+EA+wcAOv3kUCWJ6+hknsnMxMhV6mpGIbPwYKzvzRSKn+8T5lSAZfk3ZiEeSJ3tEkpOI6Tg2S3SbcRkvFeyde8zZEwuFceS+31YIzApcJO2UvMfM/E6zmjGyI3ypWsKuTFyXs1jrY0I2fb1vIVQf3OQYawf2Foj0Cv9nt8hfWkjW+C1VQfZQtDMW3suNpANDwtrIXrylixrr6X4CX80YqCOud7KFMSJpVMA0XlQK3WRYGKblRC1gabJUiWgJDDlllLJfCgwMYMBwd95agMkpoG+dOmUpjr4qQekV1Vw3H46Jhai9MOAmHkvmgTM2T7ERKMsJcdans+WVGcdSzJlU5usHqUEk2UVcv2cfotpZx+EEMjJMUQiAfQjWErtOOECVtD3k6nnXj+0LjB3yQec3nTY0yMbSEXIrlzogdEyrit5AOWl1ErJiRg5erBiEzknSsqxuv0IIVOxb10Y8tZOfJWU6fgTQ0jjLUJoAqiSMSK5engFkujaPXdWQVNrxGYI8GiVe3Lxu3AjL4q13KFSV2TST3qkYpQ36Y9qDo6NzyUCgV9UHnxoUN45vrI7jl6iYtlZrXZM6DL1WP1RvqIeK2cybDAwLdzKNnmpWUogLnOMQUrru365od2isiZBzFg0M2Zr4bfvgZqLjSSHKwx2Zknn9lTTnvzZuoDqm5WjWGzLEY0wUFh4fIx0iSIY4Y2HWhcGbMrgbKpEfQKC1m/veuKDAPv+bdkMvdcsqk+eGPVMwieoR7wflijQUkAdQGcuTi2WIvtp5/1QdndzIqTvtPEyFPSEE5ZWFVq42JIDIDo2kvuA7+IS0Q6QP7dEnCElUeU+sje/kAaz+7lBDKybr3m5MPBDhMi1gfHbw8rxWNPdMamC1Zbg8jcd/kKoRRISc8+eKiEKMc1DAOA3OkZlG6O9yeFNWS3g6UVR0HD2BwT4yLorPb0erQrZiRu+HKQUfBDxSuGXOWR8fMxa4aMHR3Uz4191xVrIRbWCxFYK18cD2B3UXF+z98yal2NZnJq8/sXQdmWF1O/+UH0bzEEKr529dvQL39qPNmqEOagpb79wxBbE6ymkFx2ZeI2f5rxDav0lHVb58m14hKlDsCZF8IDDxt5TX/bpi7vA5rykCLTPJXEsValn+OS/z7jCu2wBMcYgQ3s9U6x1P8a/vrs4zho41kBoT4AN2ZnXm55esjgVnfbM0YW5BcqrfghpAsglDyPGAjzB5mEO+GmXKFIZN7YiXU92fLD3iMTgzzwq9q3Ml4EqvmAbyLulqMRh6/HkaB74KQIyac3arNStuYHYpGD3A4jJ2vzaK0G2My6bLWl3bNkJHBrQ7E6E4m1qkqASmEwt9nnaI25ImaNrNbdRVe7ilr5tSOTa1tXpckiUL6TtrWsuFb2QWxX34H0cpkRaXQUC7SCSRwjsvSzFiiEz3g4OT3EdGAd9ivzKaVUkoCJORk29Ytu7oOmbfIM7fmbTz/yIPMRXOaRwqlMWD7QJWg1DMTxMc2ZhUM1YaNP+vz7W8ck9V4VwI1ySUrmHIQExXCPjrq6R0xNeLTANnPamCieVFTinP8oj0wKt2h2Gp6B94yYL/bo3BfQVA5VVFSqCmxP0BOc1jC5q8DQEWzsjX7n+JXINqSdUSvJXcGqFsEn01cDni05MUqNBodJuYrPugsiu+VG6joQxFxS4FTykZkom5M20OEYCSjR9dc6J0BaZA+0F0+kNGqnCkoKwhDQ9gyN7piaSEcRSYJWNz4OLM3TyZdoha3yYzU9VRRgig+B6FMuAhF9r0pBGNaZzkdf2KvdzimpAHCNPR+zJNsrSh1Sd+athmFpjzbPzCyTNrAPjNtcHBC8Z9jL1SVZ60gVP79M+wNRh7BOsY8oEMOenxUj/UTdY+ggNMEUd4DBB5LnO/GcLIA5Qbx0VkqbEqgafKo+oMZz0aAek0/kNhQ7/vgPRIvedstOEqgz0Wbk6LVI/NA+d9os5XOXtHpUsZ8x/JNZA9zB6z2IbDvm8Wygk/zbn4E8zBmtXv+2ag1V6flGrjq5bLA3jr5mUjVxTT+iFMYNTR7ihF2OkIjVMW2EDxWEyWRuTwTYjWAS2CFkhIwyaGuQQF2ikTeoheM6jp5XI+/Ciimdq7arJGTpZWW3t4FpoBPwsKnHYmx7OPqZMacL1FymyMbjcNfC6xWosySv9opf5uvS2kyikxROdqKB0CXmXCefJ2HqwRyUaOU7FDWy9vjl+VQPSPbBUS74jz1sY/BnRaJ5OnjMureTyM2dSIek9iQkwqMsYxLz6CiGZmDkOEIRABdsKeecw88ReQCd7LrzXL1n4DRk5IGNtlylHbmGZ51+XbK4recYRj3NFxWNKhQaRR+qZ5YTWbqVFKrJgTBUURKljBEEiD4/lgOPYSnPoduVzsJBcXYQm7VMlNujKLafjoht71e5ICrBmk26jVxcHUBAke6yq3p474377ucqSnpe2APurQSBx8dOpTcorxKdBZf2JY+5Mwfkee8iikaWpFE+QHYTwoajQ3xtyYjHH3QK2wIQawVW5NUR25xhyu+roG4hFoMjKEbFrNaTIS6Bv3J1bRx1GXOBe0ZeoeVgldxsur1McFMS4yaaHZkEqExjcEsGH4UA2jBJlTggK0v2vuV5ps+kDNkSLgS0Av7QInVK0ZHTwH7ps5d5PtWEpHxPegwgh6FY2h99AD+8qwmowmOwzYxfELkcmrru6L2kwCVwZPEOohYGGopBlBRZOERt/2X3wzOhmE8uaDK0jAAcmGwPxxFTHlQdp6OxyRZwdhIMAi4VP0NLKGIeJOV6sARXyBGz8TR/2aXoSZ2PhdyplH82oVS7dnJNGwns3Wwq4ROEk1ou2xlCtxi8gCFVQkQs3tH3Vg7BuUug6oVocuZJ7n5kMwWwTbd9Vm+aPD69HtIyn05NDetNABkOBidIY3PSxDhGFwntWLQpqbS9ossrqhDZqzG0tuU1bdJS+eJVWVnIcvgClnM4RjozM14KefeO8uDJo0ejjWs7lKEd6Y0f2tQLnhKd/07U2zmvdR7TbKM7iZvPgCeJvtnIGRqzsmJ08bLh6sgaBlCnNRm5kx7lRi+zdgke4uy5Q7hreAbNM6ZUw0NMRHv1o5YhNWrlZ/aX0C+x61bGmRQRedgAXmamHjDbaMZvtR6+ucs04ui4OPEDsXPGkONLD+7SYbWlAg9GAWBscqOFZiN3ht1nMzTRNBN3YtehC73SBQjsrEXKQOjgcfJvzFNpeATkIb9NLQakk81wcuVnKe/BAO0kTGtPagGrq4coPFp3GnW2oicbTGfhlaC7wYERX1w86yVPao/xSCyg9gllLu6eqfcuYL0OOMbC6rA0ZryJl2MsFDcXPgWtAoa+1HLxsqlKsU6cFFoUETFO4z+EIkTAbLqAjTUTGHl73QaNqcPW5A3CDg60pYfNYbpQWfxQslassjmXO1me37J5htECggDiOzVOvfP+826z6dzsMEhtEhSyRtbp/jyX00xeefe7qwF1jy3oDJ9rAZwrzqR6fnWet4mjVMnj7Qk8PJfO1Isg95CDhwAr4xN6NtUyiR9H3waaazivd6MXk1QHStjRTz9kkoBwmh0zV83n3WuoModd06Wqb8f0KP83+hJJuiAxDshELsFMHSJ2g/eRBFENgO0fCkl8GmeWKd2ehoGLudGaTFlRtFESI8+J6kABrTMbJEP2JRiZqRsNQvNaC1EpLowwKbFLzM2r+ukr0xG4ECviihUXjrvQI7DmmsjCrwi8zJUXA1POn9BLKRQy4CEB6WbfFht1hKtta+ZNmeNAnZtgR7nOUmEMoh4ZkKNqSHXI5196gOTt4BTYUeMX3d5pc4oHgtx0q6TZHEqi/V7UCE5yJhtNJlEqNSQpY3JjZzS36LsTDRN9dMmmnjMB8U4BvdY/8HjMTqxGkHQGukZaxRCyDSoOBzGjycmXOxBTJgTDXKNbBbkKIhC9voWEiaYoKc6pV1jCJU1SktSx7jkmJA+BJZUNyBopim4XZ1XP7IMUiEZqUstWAoflNmkLJGoHbDZME8SAwGK2MaefYcBM4PBlQeMN6S4UcPYoobD4H/I+NULibWtd6u0H3YImDrIV4BIeynTE6qsoy58oQRXN0DvPkUXtRPa9chHlhdWegpWx4iRaxAVzaBDAy9hI+nmt2g2pia9/6bI8HG+MYSNiDu37c/kCy15Qj7xSKBKrihKxmDsYyYRXFcgu2uYm6RKuqWsG8zPozJhdknRjnIUGWILVmd40Uz8FJ3Hil1leUOqiVGjkkLsHA2DK2RYnHpmv/d2CtAKhHe+Amh/OrOlyUpXJpRd761eczBfrncw8fTunw8TaKROS4OC1BlrqmUYyQGdkhe2R8q/xnx+FyybVrHhqZ6PvlpiL7KY3MznHUBw5wDMSAnkPhIXUm4eLxZY65Yrc0UslFrBW1D4YmqsAKromfUNzM4I3h8aSpFF+9HRodwhf6gBx4tcOOR95WqWu98UjqiGRtxHECpStfm2QBuISlLayBLNWcFtmt5/N5c9wGleq4rMCsbKvQ68reICcCDcQ2qEPvM7VT5nUbjdQNftRx5mRE/MRGtqjE6vp6eZTGOFqAK3QOcecpLMq+E6Z98kUAjn3tYDmV1lJ8ymZ8Ay9GAd0a+7CFEJBsXJyE8GO3sp5E5D59MqMxNFHmEZX5NMCsxC7qz8cNDFZspwyA9ktZS2NaRKNfsQAoKN7i7vIbRzK9CZOs3UmFR6T9x7s7we0v0kZTJFGJo5Fh+yZXJjBgFratfS90Xs+0cXDhw+WzZtjFmpNi9RaUeut0UMipoKjEpBcUVu9sSJqNzLdrGj8Gxk2QlaNBwZb53DmRwnkNEWh6JHMGWTtRC3hl9FZON61En12MlTkcpREpSnTPij5MjTqtqnImhntcmuugWoCkTx+o5c5WUoBU9IoSir2DUEYMYbA1Ht9Jyw48YtwQBBRJP2YO9XrISZgc25fDqIwugYwC0AKehJGllBrUsVgt9HtzGDm3wArg+iadMqR1mTIiJ5ZCgYPrTBjYryyfTCWLl1gsPqcdgE3ZXQF9u5kJxLBxdv0KygZBC4AuROI3pmU3GbeMMloQwPPWVw5GR2zGMOYwTs6BOQQPCMoAgzbOS2DevE8zBj1K533Hfskjg+L2Yz4RsJxULVDbG8Eol0g47nNUu6jzBrvhZjQP1aFyLuZb6LU6bBUmnUDOji5qmmr10NFbGod5I+2YaS7fVjBY7FSC2dL5Rka1G9VRU3Enqrw+F2Alq5OEp5Jm4jADiXFiNVO7X5SwHhwfLDYF0ZIGAy/TmyO5Z6xIHX4UUnMiiINyCgSWmEUEYjjHslRRh/J2yf9/lUt21D4vPkJU/E/W/yxKxK/7nXZvShOS0tya8mOOrR2Wpq6IqXWVfVLkHCPe4yy18fmIxF2DDmACevoUFNHIY3S0M7qEKuEp+9gw6fABb2pGX4b8PEdg/vtIls+d+Zu9UUmYmMBsbw8NTxhjojJTb+Y7zE8QDzmLpKxLEkv8KQl1cXS1o+GC9YXpX5cOmbQ2mRaKTC8D31tttcg2LWjXMoKgnbpDKJg9ohzbC6Ii4VRWr6bVOWSklOXQbDscD4CV2T0CZp0EYdWtSmHW7yyBwSih0+Thir2jFNcyKDObESnkx45YR6nIGY4qlOsbCoZ9FzTsCUeQxpAORnEPuyRpvO8sRIRuOAsSYY5URUAOq3OJY03ZQYR0FW4oeHj+BJD42ima24GFQeanTEIfduRcetSU5QuK6XBQVa0Hityz2NvZENSsibRU583jZskqcHK1IyndSidivKGUEYr/kjTxBkGWT6mX61Seg5ViUA6m+o17s+PdrtB93sWcCUqK1OGm1k0MIEYKbA212akPPwn47HZHCqMi/4hypLOQz4A+X9NpvP0ixadCadT66RTPkS/Z3I0xDe+TJNiTJ1tQLeFFMijjcCh2GKgEKXFcIY9P/ManINfPV5bdatTkzXcynieqRuROntNgc0f40Idc3fMd/e0P44yA2WpZkF6OJX0dSqRq8ho9PsA5o8TITcGU1bNS550ifGEqN8r35LiPp3bqGYkcY44cSyqoNhY3P6T3moCkuk4f7dgzlEAZnLeKImBp34oVkStxL1Are106Lk+wmn7pmZCxh5YC1GcT5pwcMFNDLbONI5OAofNdOtpohLki/WYEPLFcS4o3ea+R9B7F0eXP0rnbQcWcHemuRzWiDWvOxV8HiNbp77pgOygMeKUCNvPr7GCElEZS3+gBHK5zbt6FrfZuACwLVx/Dpn0CYALtYmKWIvlxDd5mA+Y/zEAzhtciNCLBY533ictnF46bW01CGhrejOIQNVtbFoffulM6nPp6cwxhyP9VLT/1bDFO1U8f0+fm4kTn0pUUy5cz6mdHzwxQH8x+Q5w9VE/zltKR5yUawSTgI5Wlphrd876NcmakbwsH2hohxalQ7d7AOp0Fkp0E4tn8kgIn16RxnrKVCITe6c8jw6CVnRENG/+TPHk32xuBApOnct8axlkJ1HbKgoNXHg4WxnjUj+eRARAy6O5XVJKHkCy0vao5YUN8IDGQRNxTOszBgwkfL2Mr9eE1P2yfltGIrcSe+jxVDNO0FuOtLB1coqdMQkm1xBYbWxajOjvHODVj9IlFcmSy61lUlrHs4/n6hH0io1O17V3m4HjJDtQUVsOuWapwyzV+kjvyQk1PW3PUatbLbHfEgTtl6ZpysBRZCgLFTzZ3l2EEJl0w4UScaCTksb3LF+0zo0AuEAjWsy42Dct5Ox1JeqZLJQrWU3n8MT4c85B4Sd3NhxS6gaif6mDJs6yipm6Dj67njhEVtlmTFvydF+JQAYy6tzCeYzWNgmaBeF5XP/xBrHErcNTIBUOZKLGzXxsjcxUo6cn66Qd+CbWiqpJrAisFv5kgYxQM5InSU3xtUaeBPika8OtMHLawyZE3TEStCGzvEcrY+oBY9/gcpu3OJMwNZpZRiHwdqk3LtTcCIca+Bi0jkcje2Fn003k0YYXZwv53/FOdb81kpzeq8XIQSC9aG8R2aKv6Twm0KkGCVyR2OJg2GiHjTQ2ma2ULdRn/KY/IVPJ8ohQWeScvMguIZwfq5ZTcrjR+S9mS44vhzOhlkJ7hkMqNlnGkekT0ZgqZODWC/109A1pQ79GyksXC7Rnkp+5PdmwB+TRjJ1yNfwKK4s0bXj8id5XPoFpGYMFSvh0eSQPRL3+nmOpZ55IGmY2Ec8GJgAgWL/8geMJffkHpvTvD9aYRIcEKwugAD9n4gMcv3+tPiV3lGkM0mNovm6mfmINhGbFKxrxeNmp1Z9tmOSmdxiPJxNc+KHYrnhcrOZbb4y0h7ER56TCfwjTTYPIcWsDuaMLUngYJ2Qmz3spLKrDJk4c0GzE+d4wMLGwzCrNL6LS1H28lmy09JPueeUwC7i3cl/Z/9vN2TuQ5ccKNUK9ZZX7uOALwxgEc3sZu12hyJ6qQrTnZDklC7pqJImsxXGkQmra82/Oz9AA0QOvHe5I8LieoG02bVaALh5KtIXiQifKfrYYhRo61gr1fznDNb7R0UVgA9dBlbfUN96IbLMNXkrj2mZIkB2t0nVROcBhTi3LGJ8JDDQSnn3PS13xoUFKQNd/kNWEjlNbaFGHYCT19B04UH+QFdZGC7ZJQQtSt81c6Ay+1JNU4XeRVW4XjjfY/SAJnPgHXRTZ7Kk4+kWFkpUxgI+OmFqT5p2CNJ09qnR1YEO3NRFkjj8Vc5FeagAkaXbOPs/gtrCxizsNhew/M7CSN3abqvQISvEE+5YFe/IMXHllKmgpxjiepGBXEnLTgJajuEvap65vJKxnunXEHi+yppWlWqjirJzF1Lg6CIMyc2b8Rfukv+12Xg8/UpnFITpABLJIcBFsRcXRsaIfiUoV4PQ1km4oJYo2toPmDYyHaAJKF9BhHXITimM+TbZ3SGnH82a0a2Ksy8DOAcCIlRIdEOF85H2gNjCJiG7UDy6wgbjb1ZMdSRA/J4gG8KrtlaODByiQzJIOMLNhxJg5Txng8UU1oa0OqaakRd940KyQGuaNC8YOF5mel8xDKmFnWrU4QVR2lfVyaYgTNBWHArVBkWsWBMAzqBHyoDJjSAr+caDfSJE7jz9Upu7QYg8hSAHSfFFWBtgPy6/T8hgh7Ly1UP+kWnWpf0NzCGgt2+Rn5F9N1zYGAk1PI3XAVRu1nQD2ZjKa3vQQQmJV2dQkRjSNaV9WE4Gp34E3UUrg3uQc7hmVhiMklhXdZR3me9uJElj0/gKltxoOaJF2gyg3xLKpnXQaCbBoU6qZk5h5Kpq5YCMYOW+EboaIut5EXGV527AzOxM5MOHgXG+u5SMcgpSWMnWW6BBAeaFEYpbnmcnjWG0VZrSsO7GVlJu3ascSo62sDUaswD+/CsjdEQPsEGQ9Z+LGN9VzWYU2ACw2xPPdODiEoz2Hr91CMVYppJw/vK9RuskR6c9Rn/OfAaqOk6gNJRqwBCK118HyuWrBDzrwTvzBsjf++dtw/APhPiUj0Rc2TI1r8NksbtYxDH3uRUGfAvVG+75kVefNBU+QcDXuYojLJmFIqa/TyJjzYGdXgWmfEKWPt+rFhUIxs/d8bDCVFJ6aAiMrg92HGAx5CxAnKchHzmRYUAX6dT4vGFSMn0jExhQgUm5QIX1z6hIsIQO4lUbzAT5AWBTFQa04Lg+SxIUuDRgt+4HMhhOco7RnzJHJFQjHo4JFRIoKD7BDSKhstztSt/uGaILnF/1CwlVdQBn0whKJfFGFfOJjAeTtjWC4QsWR6vFaCZHGTatMgZDcuvaHZgiP43kPEKDxYdxwCpv6m9shNXJHsTjnc9BveG2j6HHBGGw1wwkHR8vKBc/2r8DoLNmOD/0J8kyyR9gYQu8QLRCO5Wqqh1LyMwamOj6DT8hvqnm4bgjwPEOellYbrKCDTkwHjc6oZYkiMkdMgqFzKCLoO/qUTcI0KtLIPg1ROV9LynASwt35oOO9p7mZUpA6cB4vZuHoVVQSfcqBT1GbkdXH9FEsbFJ6QBZ7cgimFJyx56tsmE9Ukz4F3YdD28f4j+k73AtlYp4ZgpkqS0IHoSVunAFpQsBIJfem8cNK9s/6D8J9u564WrJt3nrTEujIPpwzzudMeE6SzKkbPXgSLgAWp/IURaVlzU6mNW8zOnp/fHywWXi5fOuzyQfPaQit8X7YgDwbpS2IebIzVfWIzhSKrtxIusZTzgd/XHlGNh2+OGa8fW4MIHF7THvn3ug7uUNT8KzjtC5/o4bN1U2npTL0bPGLHphC3Hrh9CTDyDckTODO3EfksiMfZwX0oy1OBJRafQVnVXSm9BFFyClGi/7wZAiufKPm3y0SbhORZHEom9bzZH7dHMEKec1AYkSgXVCr7VOkUPlBReMValS6xac0nJzRHzpJ0M75vR8ccoyX3matK7EH8Z6aR+B7fvx4QgwPg+SxXL60gscQS1CyHS5eMgnMyQMKG9v67eByjsxIvN6Ae5pWYtBdMKC34wTphOmVJ6AgwRPseD10Q5hmODnmGtsh8GMsyfzZdezWVeas2zxv+llRN+gZ14ZXSXmt0dG/MLfhAJyS2d3D5nG4XVvWlq+Djk2g5ptCjBZ0oGlLqhAGHkCXD0mYXoj4LHD3vVIRWEs5z+w4kBZsEiclBHGoHGnQd8lU1tX0IgW9Jq6Wqps9xNSzbG1POV+YTZklgh7phuQpM28ovdPPLKzonTbQTWHVZuTiSBQ58UF5NEmmEVJI+paRflPrgYheIUnpv/efu9HkASrIVUdopZ8sEonMpeGI/nxh2Jw7eZ1T317e/Ai+QvlsMay2KAkSkqPqbEKZCF42YSwVrX7GArRq6Wk9tMBEwAQ9MnPgZcIjECdUkqjB15hGCxJE7kL9kHULX5/KovFwUUXOZ0nWCT8OSnRzxVvuX+BZFD7NfstBRQ80immgUvW3kn/WJjpdFNYSpQREdRzWrboKypFIoUHF4xPJgUZyUk9IkqBOS2z5ow44SFN6I+3Z1JukJJylnF7QUM877TWYcIPyS6aUzg4XaQAEESU+FJdHHUiQ2jWNgn5zZiutFSLIKL1hEBhn0Dcp0dpDB4G6+MJlTckHcug3tYV3ugHR90K2uTxir4KqqcQbL0AqCc4anEuqos9LqErQXCtDmWIr0tUCUwLvgF5Pi/avX6auqrGckxtJzIGn+SHCtusa+cg/tGo98qtq2KoBCcTR7vH4QxXFqkMk7dUMIGcBIJg9SZAtZMJjSOT5udNYqV3ZSb2jX4+Dp9USpkASQxhA2n0qP4ghYlscj5xk4BAWRfQYM59ilYbUbrU/c2/cjNF/XaRb8cRtu9H9ZDyBm8+dwQyVyEngRGnYCvDKyPf5Hi8aFJ5/jrenQ6ua0w1nMGLlDKVQ4WNC1hmYVQwjVgSQg0SP8baLFlq5pJHm7GAM10391KnVGPJKTLIOfdvlwgpEcvAraI7Bi4ATeQOZWWvsTYszia9uFc4eYUH9MRK0iugT7szpyTDuqo44j0i53N1gBm5knxVGbxr0b5Uys+URTd7U0doYI8wZTYIfidVVvJChwhz31jQ+zrAe0Jvs9Q9mGgAL8QqLTW7eZNOacvjXC6sqFj+ILwT1wJ0I3kx8plj7iRtl23LeNFqqwwf2sNCKl5mBw8JwkuGUGFCnH8Z3+3je8fypZcfUguSgTaZs0et/Wo1GRkNSYiU9z3ETFWw3ruQQ6YCubukNTw72TZ14KEd5Z5oppLVvq0lSHCC45JD3eIr/5wdLowMHbpAj0zNqDbPmom8rUco4KvfNITNJkFmXpXsk325Xn7gENQ0al5NkipKp/B1OtP/VV2PYOIkGFg6F/KQ0iQyKoGTp8KVIkjZvhuPtPDKra5Er+D8iL6k8E4da70Qb58msjk6yI9e1Jt7TBSKSaY0gUxzVA/aOSnWHaB2i4N4jmWAiA+eS9c6fGOx4rfEMP03Jn01h4DoOJQ+ZiEO5SP3VfAoWoFp0xjdHy0PIrHEi8voFbIQfvMROp6fZJQ3OXpVlIMPcnPTcRHHD0pwJzfQGxyUQpJIZ6+dX2pDrS1eMa8vLUL8oY/mq3MqIHCBi0hYzUAF81GmSFDBlSYvgJwYqVzMx9lw8SWmh0jrlm4oHVixhaGdeApPky8QmvwHoQPTa7+z4KARbRduMiHv3QD0dhr1irQxk3BOYA9wiCWAKfNP1xMyRY2O47xDjI0ThV6Xx20waoFMCInpJZFSyT+5b1A2gxOgNVTK5YMgxBBgfR0ebsihWtf5YwrMUOOCAAskib5MlUVZt8HysMzSZqkcXiZvz1Mi7Ga1q08DOOUAT1ectpaGspazDXKqA+YbqIaZhOSPR5UVOhPWEIeWRwA7M/jKah5oK7TXBqcP8pZybJyehPV1sCXzqB8VXEkjg/ZqnJB6trcbIB4hwYtxR0Q9ww3ETZ40v9BxJa/RzcODKkchewMTHiUfekEToIvcsnwUq5WlMzGBA3DIMSzPdPwxx3tZ6PastWPPPRSMnAQaygr3LcNwcXUlXHauUXPktqNCab15WmAYg6CJMnzCfqtklw5N+CEBi1RWmrl1AYt990fNC30RTI5wI5qdSYA1pRMJoKU+s1xgvYAWdWVIth3YX7wFoFdtOmIOofSbHM9odzpqIni8WPi7qqhahuo1O3XNOtQS/jY05MO0QBHW5gTowKvoFnPLYy3QdwgBwQQ7JDfKJp8aB7LaNbltcfpxPhTqJaHwTjbkTMm74bWyAMXLmFhTb/mvaY33tW93tgFwZdQoxbwE9BtDN1dSLKbtmiCFsAn4yFYf+EvqL1OYITB74tAR6nCP2JZWNsipwTHQpqwJqrazyPyh/jh0wOW+XL+dxdxjH2zpsyMGWPJpOUBV71RxoSjRRthZ9gH9EJ59puByqD4/MENELBaUlnfF+onxCD7hQoFeHpsVAYoCZ1ZBQTnmkhZ5mcAzUQm7IuyfcNOBI67ttC704qMkKkzsheaCL4Aqb2fKhsCjcaJBXwUJvoCM4+moHcvLzsP5THQ3jwxSMksl1HMFwKNWIcYJ7/YbgwmWFnQfzWhF5LKG126N3vcdo2TQQIoFp0fHAQKoYGWDoFZKA2ZN/TCrUP4WMqWcZ/SGcTSLOYaBtaksrIcgYLtUqZ5ygmx14+UPQSglKRXUJkSzVW4jqAeCFnHOLXCjPr0ON+YEOJqFqwYx82KKnSsMW56Iz0pPyoC4NwQib03Vd/pyiBpkelk20sI4yWU1Tkbzg780bRgxdawwmW+RlLN2c0NWW7HQ73bInGolRhO4Cg5mCqiS2vCL9dYIVFBDtcQ0qIqPseWaiqZsT1dfnihA6f7Ra/NhnMVZc8ASR2k1pGiRdXYSSWNO5pIwzT9oe+mGNp6pJRNLZ8w4uE9vEkO1UcTcXR+qRHVFOFgzTwy5bU7sDBsKt0snyTxtdddJOEyfzSm3rQWpCRkMpB5k0HgIRWQl9RxGbg0oIzaPDh6IO6m29O4CsP7BI3BR90/8Aan29zJXRWvjV6kLfvnEzakvsUTRI1RL4ai3eQehSkprhro+nhzbp9fLGXomIl41m+CZqcAYxC0Qbs9Cr+MaDruWUvSrnUGO1Y0IK62h+F6fcZogxm1MQ4qwgVgbAohipMA1Gvc2ZmrUNn3jlj1C1bRtFS1NEZLtgWpEvZY42Lo8Zn7+4mX+W/n8g13xrb01vrHc56ilkPtRWawjfWJJD6qC2txiH7cJNYGeX+cLfzB+H3YZz81jlOoNLnF+q3cFW0FDZ2giUOF/8QEpl3ZU0NSGRQMdoCd6iViBjJQJamqz4lMbusFIqijqdGiT9M4EbF+5IHcmhAmXmJ+EhvDWl9KBXGPWDAV/MZ5RtgbiKsJbJssE+srSVQ5x9YKJ7CsWM2OL5WVs4zG7HCnUMIxLIuQghO0nIDmv6ddvTMc5AGTVLh0RvAc5uLdu3LYLzPPpXCtlO3OBIOywc6eELtKs0gvNgPzy3XsPsDFkRB/UOY2Hqxu9l3Hr+QaNYA9SbB+qGpQ56UckphU5BB26LUd21VEyjH3OShvkYdxxsVjDveih6/1BoOX96yzZJEaYlfk2kAqVMRxj50JA3e1z+Rrg3mN1mHJEyeuJ06+n1HrOTvaFwUdXbATv0sq3ABIXSeItUTwTj4LpyohhFrlq4sUrGCjGcGKGTLFAAjPSShpj8WAxOeWM5rdIbOfanlO9kkqoj8Lt44z6H50bYP9SMfdJdOn4lH2mCjCw796Ltb8/q3czVISD9ROTJAkONwYRU6WDEQRaL5AV7nyH25NP3Y45mOFLIR+mjM4LbvD0XOeIYfYmC3qdo8u71kU6g8kTjh+gvhlP05Y7A5R+/4vxVxkmUXnjSFKlDkY4/hYDkwGl+8LYqQpJaJOVdKhGzNLgEgKvb2wnnj+9jjbP50197dPw+8WM+CV22O0MdX8yPan205Er2MyU0gT4Do9glo+WLtNMmZWym3pRlng1cj8ceI7Al1zhscX/0JiuGplNvbPrz3ySmJ5jyKL7toOkJb+5Q4hirV+PZ/hfTKFjXXlnM57xnWPR2fiwXZYFaHGKpGM7dolZtZ9NRNIy5EHJAwyQszVnqh3wc8RRaWBhRRN7txmTO0S824orJOlHRya7dd8nozAb7iuMHAVn9cEW5951fQLsvr038Co6qaWRn6Sbxc+xV0OyBe4P0n0F/YeC0acR9W4QwY6ftNF4c/KY9D6FrY71eyPErgIy6fWeZtXh2qVFkD13+CWPodjDNJGSuxPZZkCfbsVGSc0Z4qRcs6D2GY06j0SqoeFZOPWn4LnW12qUW45xQ8BjRpJz410r1+ls1cHU1rkHnKkugIzcvcFZHbojTumnyOn3kRnV/jZxaHAAcSZJyw3YqxE8KUQB7G7wHu0uJ8jHEsQzyOisa3CFGxEmPFDmyh6VaRlfnk+cB1alNJ4qxDSmsHJrc2ZGdHD2FQ87qdtL0ua1cGd/xUKle0DLz37G4xX2frU9b036SNZ1JEpvk557Z1sAj9aGhc/79ekQnilOgkZw3F/HQ4+/VmcFL2CSIpKwEs/0oaQvZQ7gIzRF8ugkTQGTEohq7bzCFBXFk2h0wQoKZahc1Zv4Yu8Ij7VOvxUF1VzkTGa4DBLL/Z8ZAPujTiW5F6v5CpDlt5U+IcQLT4NfxTlhzDveiTxPe4O+JXWGq1X8/JzdSxvFIxFnLDzOuYhr3hs6o1WZVWnJTuvcJXjJyT+KYmDV0dmXRUGvkrOS7WbCzJ5aT7G/3uMHMy0nMhFcnYn8Atd2cNJZ0aHPDHEN6yLLPnNi5jWn9djBzUvgV80syn5Qzu+57N+lyRm70Mx3tpUgMzsLGmcOdkZNg3nAUwIJst8usGeQ8j7namtH7gY85nGSbolhKQeMUgFJ1eE2nlSyaYgq2OdSmx4vdWPRhdOTICL7EWsoVMfJwp4epbYDW2egPyp2PT8SnJO3GagYP21vCL06z6IuJD0boh4BR+PrPYezMPAJ9KOg5PJ6XWuHWrGFLGhAXnCeKHUsoSAuniYxqkOXjEXjLD8k8iWeT+HEcoHg5OD60KM6hHdmuliprrrLEO3ZVuLa23xDtFns7cuhsM4YYzT+DjINgkt5D/bCuwKqbBJBVJt6ZqmI7nd4lkJQ3NXxU5k4qd/GDzH5crkm4V5JBHQT/7YxL4W+ONDaNy0vyYOK/Gn2cLK8WRhjh9C6LtGKESjMOPY4cijTW2rqpgFKcLpzgq176t1tbR3pPWh5I8/ahvVfyqPIZKj54ud9HQJjXiFkG7NkESqBylZNdq3b3TAz9tqlKHmJi0N1aOxQ/fGObYiSDOk6Vhk0amDDVHeWvMEcpby90nRKUUSFFvBH8Ef4eXbz/yFEUA7QMQoUq6iDpM2ghco23FYMjpHUQtFvKuqXUGe3WkeaXfQjxYU681FsuDl+QPD6huE1HiNSRib1Z+GOetPf2jcgNoYMsP1T0UCyJ4YH7/KW1lGPun9rt2pMIGq45DJ+qE2emouno/Jf18VoSK56nkBztgAyTknEUfb/GjEkFmGPNiqzLEfJ4ACzeaaTs38nq2a0UzQ6+KmIbB34Wc1ENs7NaGKe+QASq+p7UIHeoUat1LyiPSZCJrPXODZz1o2oOjMJrLv3vawwQ55CkgfIFCGzHIRPD6Kuvxk9J+tJFrN2qK/mS3KWxQVkOOaz9WHp39UMf4gNJAknowjbkw5HHoMNuih3z/sl5pu6j105oztDIQwxKwQuZ21AxoqXCjrXF53uAlh6pf1bdak4c01XskExapjKOnjLnBM2BcclTALzKkJTp3FMey7flq8WYB4ltjUMwl9h34UelEWwzVlM9KZ5tAbsBbu9h0EaizKHBPbGGXEVeRO/5e3R6P++EzjGNRs9uVJjyVmoYUU3svvWNCOdWpwRQEVf7Bm8oD0Y7rGPrSGilqITgtG8TMLJlYLeiNeQrAqbGkSj2dZYgg2dbaCmcYNLTw6Rmr/jpP5OkbJkOTDK+YpCeXbw5SrqyLtHBNLQKSsIbvYZfCNFonylStV+Tjl8AHjcY6burA2r00Tu5D4MeyPDTewKJ3Nh7594fr6VaebXzNJ3Do5ZE9XtAZXsyOqTq4Pg0w5FjCASShX7G1kOcgkvdWENCWXKpithcNoRCkw9qBY5xkRf/+HVQ+aStPZPyneP5gIWJBBsONkq2ZoKZvbknELZ+LxlozYPhGM8TQA6etZxn4FrJlfx3HUeRG8iLmazezVCrpIIohlHU4LndoeMNTyg4aRFmPXyFqEFs3qwpjHtnOWip1Enn+URGrZeSzEa6LDzZUfgspX43qYFELncOvZ/o/6/YOSqdNqQGXcOpRPB2Y03EnDi3UcOgs88E6sqZCGClKjz5rIwau+VRjE6yjxi00ZDIgtGmmqCUNomuaXMNMBsTLCSWKX3POQBV4mzTG3idfwtiap62B5lTQ2zJizNJP1w8Ek1BXFVMxQbBhgXKDzfErR7auX0iAi++mSjthylT/GRQOA1HSubVZLZbmlMQxsBCRaORlsyfoCqmXRq0c3gmHPLYRumc1IPZgtO3DtPcm2MQTxvLl53ABqDvMzn4fNDPKsudwe8wo2nKsc+KM3pDctCcFtAtSOWNq1cJeyuEbf/qxL7yQZ1WrxaC9D9mbWbnuBj0Sc+ZF1F+lLStxjyZIq+i5pYgC1/J3ZmXYASN8sAs0DGR2YFgWK5lUL00gJ+BAXch6NC3+5eWRExQmYdWDfaEWVWPlB+xhRyrZDx40FtEUquudD8QHSLtCPzo2oloAWT+cPB0uJgPjaQf0/SkuVkriDpZfMUVl5/43OFr9n/61M+/sG94xA/1pRsppHsPATfKPP/Ylma/NXt+oB5G2poC/WyPaw9ZHz6hBi5ZeXR1dNh0k7SaPTgs6GOWAyI9N8z5Sfmc0zTSf96BpavQ5qCTmAffXm0ksBJepy7z5sJSzH3s6Qg1JFpA8F6wNyDHOfR3fEbTyHMR/eRILI2h8pjzLUlpZVfQ6tF79x4qUn3s0C0W7a6CQ6gFo3ZMTF1BXw3ziOwmbZF67ZGw4aDQOaDukygsMesUwu5E0uiRJZ3Z2+kxn+ZM7vxz5fOD6iw6yarqoDpF+QC0IyKh+BLPGUZ7GIOO+iXEtT5pJsCbgGOU+GfQI+68YthOH+hUpaLkQ7Y6YD/tUMMllyGphUfP4+eImv2nKll1I1zVPStMlAmiZZr8U8j0O5oZodtBYJK+/QPlgvXKqczVy8aELz3CMjw5Rm+6zqAl0vkvBFHTDj56RnD8sL9HMC8f/tbYZvNfIQs4FZv+ejiIAdSKI0hVOO0Ye+7dBl/jH+WQVjRT+yl37kRunQWEZm2OtasfWgUcyBJEkHOsGpsoL2ns12WjsyYARGAhUh5HCZEpNq1pA0af9JKV2dkIHe/Ai/fqAIv+h/2SBTXlGnowPGwNseFT0tJGbccizSTtrdS61HZdE+gbv5k6IpJiQtbBjnp8WCpxsR5TUj8y0zBgIDLtc0PVzcq/8OXpXk0Gy/QpEbv1Rg0X6E6pgnlGLIpnOIHUR//xdfqQ/GbZn2wwmGkGsdVQQO/TJjPwO1qdztMbFH1GpMmGsUwEOwYv027MSCnP4brQn09hJRjhpJRJBJ5B5aSAK3yJeczJeOIFX8+pOSSnLCadBD9szTRK6X3T9KP3h+g8SmPHwBpFTlFj22UEBMU0G0Kx5kEa61SNK1DjQu02KgVbJPKZxzRw0ZR8LmzgoEpDmC3Ep6UworSAxDQApt7CGxL04UhU10xYaMtMrOzMywzNB9BK5uKmyar2cKgfOptBNUHVdZUPoTyn9youuPIy70JDMcwnBh1DrjZymCCsbDAagZOseqUEJz0N/Qyp37ThIezZKbyRMUTw1no96ZiRj1YeuvZ+g1GCPirJl51TGPAqID4YU1EGMrVFPxvN4s3IwBDIEANCFCJo5Z4zIo7NaDUnu1BZjXtBV6WBTNy7dxqn9FMzGSw9ISQB3onNRjm8nFzFXLzjRGSJDcdnRE9X1McT9vUOW3R0SYUfG+FImwNv2JreT80gmOcMTlDUdmiV2gzKVHkxWgduCowSYItIcRqUn0VcXfDp9/mlHpmfjJ6WJUw5LvUXVXJNtzNrL/pEx3t3kMQFXVr9QtRT73uGEoFrIbjtRdg9xJfg+amXWi4zZBASeTqaDxTsMDSp/VJ+RbbjypNqpFj+KHsyHiqwxFsj1bx35J5Dd0EPEwMTIDuHa7Q54+sVKnL3zEMjf0oyH18dSKJ9wiSEpXIlADJyLXf+Q1QdCh7Z11aWsiOcqGghjE9/uv502JkShjrc4OwtFfWw8SRtA2Hmh7TOUR430T40S8xN4cBZWQ5mBNLSohwl1Y4cxImvQ7a3U13MIvnbZoT8fbFcDQR4WYy/3/lwjeDo4W3ynAhRzP7pIDp9uONNdV5Irc2T4dZWayQe0zzsBmy4Eo+REVNRH89MeN6KmdJ81VgCXPWy6dMpZbE1CIulNaYkhbr3JB2qaEAIY2eWqOjtDEzHtQa82aw3z1P08r3F0vJ4WKShiZVYzGbUZ3v0RkCSEkePqx4I650NDhwpJkVgJtikh9CkH7QkSwXuHGX79kWPPFDFRjmu50vOifjC3SHjJK/Iyra1MJrJ6HY6F4DkKWukS2/nOSyKjE0OtA+EFaOEX5NYMVKEjIJa1oIRhM8HvEEHzDyMe0F5GUaM7DgUpB5DljgG1Tj07UCItLDzAEEoXBtRoaT0MrIAbTBnmtpj1c8PQLKDweYmBloqPNsXnAWTUcofRU75+lCLmH5TDAMQWI8Y/IEsSTihsAlNE7FC49PrtEwRJ0tmbi3snJSvp5CCMC8vFtr00ymXyH17Zk0HjcNA/BDNKbroW+FXuWC1ZwSndTxRap9S1o5PS+XMljrFW84a8CiuFeyM8hizRvttIoNrxilZDFAx+sccMbJ7qNmVa1Y11fJEucrZg9FezDO9aZiKtsWWEpyGy0+gVLqVVCBczbxmPORQl6g2T8JVCYIIIHER0SkoSpJrRcusWHtOhO/C4rV8/jlIGn/8/Wf9ObU6ikAgEvUYQhtd4nz5aNk8OQFYUgeC9w0yg7sNFLtzbzRmMK5D8+85ipx/E6rZTpD2HGwn/T2mAGHglBYJoT8p3XRcf/86Kh3UJoAnC2cTtqa6duvrcQ8xX9nbvJVz1E6SfPuzSZoB8pMetp9txv3G5KwsPf/orocZUKQJdLa/ENFaAYXM8ZhQRQ/jMBl386DxcH88g4i6jxIbWCthhaymr6gQx0zfKNEjn7+2TFCbbSzvJ6e43B2fJ5BHbV+5lIiYa+RK8dZPMv6wweegrWFh52Epw+wSAq9elphghqCLgeolxu8p033Y1yMy0E8BzDkFGlLWbOWA61PDXz4/BZYId0KPvp7zNWIiJXjPxyfjNrBS38q9HTMah8S0/ocIwoW7B0zA3I2DHFMRE/X0Jxxf+ZiUgZ/+OYRC9fFTN/Lxuw2DhaoHYWPyFsaTN9DU2PS6Q8+AeL5prM/ybLSrK/10CuEZ00+CGQQYezsDE4lIdqwVCCYeOmkrPBT2ZrG+1adEvuLprsopRsaIyyS5+yZubgdS4fpJizxnMRo3KpDxJJTLAsU4AEQdJaulI/b8I21qrrm7fqbI/5RuzaJp8mblGT/rET7eZNDOhGmIxmBynTSLkdWY6VO8rBSGcWq4oPRV66n9InARIewc2Nmt+SiR9ZZr8sepl/5TArxtIc92TjhPEplG7kj7QCKm5A2DLEN2FjJrV4EdGB9btskHKjm6+vjhaBqorhwMo9+ScvyZjz3nPrjxBO2zjadu8aQFbyoQvlla7VmDKR66vvRHU7o7x14IYXs4fWFRPpFQP2xExtRJFlLXBcKOwnoe6vbPX04hzdGFikklH/n5dVAmlnBWMmTmphfHHfqeyMA1pqM2xfCk9/GGuO6LbnHD6tReJ4AwMxgmJPPMGw0Gc+2T8FgkNfk8WNo3Vjl/84lhqcSH+gr9+jB8x7Baj+tYclHRbTWA1amb0iAOkbAjpbVOkmwm5oksweFzDIWvYywCAF77e8jF/VNZY5H6BWKxlDL2tRncXS3G4F2riSDUdmqBjzIek6lHm7Sx2YkALgTXKhdMj+0wNvNFANypoqY2BZhydcJrHSxlILXqfe5vAFKXqqb1yKh9tOnOxsdDw0fMHlgdI2NacNHIPcMbJrp88S7VfssGtvx651KPIw82pE7PGPFrmciJoP2iYMFS2+B4J9kRqbU4Kau2EYrbfwQyCvlJ4fOveljqORIQJ8kD7QbNWHAQgm5obZuqOdw+p1HJshexkIuftecRItLcgFDwVMLTutPxDNdB18nsOjnLtg7P7IposVUmFcWpL4B2+qXQeR3z64geXFg2OS0gNlVq9bYirSmVPg81rKzVfnvHVo6yyl83SA0CKelkYrsALPf5mlRaAdnC21A4b/ZtfCSIxOqFTTGQqMe80R9NbZkJuJqwQSi5XyGposU0yyS1ntaIX+RPEHUEVXhIN4cxFNTvef6dERP3vj91KEf+i/YRdnbo1EKaQaO9snGzFLgbTMxc8jnEA3QNwOGvw5ht+PUYu2oYA0zA5HFjngPQ8SHxy6SPz52tG28GPOc9azyop5L9SSmZp0v8Oub7hmfPDyIdrJ2oDyQ9POrmwBGAnbZHMWtoq8DR9YhE+eMNCdXvDpSjgYze6xEjSNFS2xiX+o/Dp3GhKzYiIlPHcifI+CTxXCwOsTHEN4UgePV/3UtG3aA6dywocz0HREgDu7xSg+jmuohbkOc+7uKCL1MsSmiC6CYoMtZEunaq29lEweG7/6hJv/ReXAOeTTNxE4dlln4eqyiOr9CQo66Qy7rp7xysTeIBR+sYpLcrperXD58Z3a2Z6kDkcgmiRQSgbaQRiMgj93zqWnCX+zsipT2f1FZToTMFxrHZBFL/YhKt+m2yU09ksikjkUe7Mb/bEpAfSfpDy3Sk7dOfwJHiEVbqaDzj4y14CwMEOornfUhOX2nto5h95HlImGDqyghCunEoZqcHUYeylUG7aBPKAcl1ZVwRKzqJvDp31jkxnlTRaEMQA8CEEbZi2H5x6XiO0X7YxJNFAMVfPcbjyS5/NX05CWpqBciZwA1tkCoZu+6MKgov1LpdRC4doOEjwaneOTmFblBp4vqlTyJrn2dIPGvoHnjxtB7stee8IjJzoxcujglQDj6AXp2/2gF+CPr8mjxsB22/OIZw98R8NbuqIIKH3XD5huSotq6a7cE5J1bVuElC+JXkvUmkaLJLgcllPiamj7vbYsTSxFLokdb/9FLPRovjRGr2lGrEb4pWR9DIc+1mekyp1wVh2cWDnt/QR2AxaYJTDoZtFMhRb/NPQv/y8mJOjQE233dFMrPWes8JNUOWeSUz9wJSPBqZJ8ys9YwzU5msmRQZE/zWHmZI7jGQnhPmTY1mMv294M064MlRaOv8Sly8sheNSiMVbCyDcVzdihQR0Td+746FdtvB3ToiPu8Rmhl5Th8lGOH+bIyQ8AZgQTIX6RXN98Z91zD4SSI3opJ6V7u5c/mu+jtZcRiwMU4z6EjeLV6s0VXkh3mahJKitG50lEWumvpiIPSA+nbIMgOvAq+l04imKnS8Nh++4aYmRV65hcaZ/p6UJHWk5XqH/twzLfL04BmrlH/pnTuuUyad/d0HexOycmGEHlI7Of9yJqpV1dBbxRRIqSGbOZVN6VZMNq+KNykMFIVKUdDfIMubTlNnucJ6bwFGACKXfssp2NW8ksCf8A3YKeIy7iE25dH9kJ7YA/siYGYhZSDX/GEePWJnb0TME1bnc24+EJeZRhtlMWIYMXKtCj2lrmUsgEhcgSsa1xConSciDrLPreGhn/CO+ti0UmoK4Ey4eaG21G7aEbCkqTOfprnHO0VACWzNvfar7j52CJv/5S7Hq+m4gFxagJVk9Yi7CF2al21cD8vSIErz1AkZccFuCHWTPMM1lRlt9pz+4AAj/4rzA1h4IZpJjQ9uEYauHOgbfpmSnhfRo8wSRmFctp3s51/wjCJNqxx0jsnro0eYATmgatpRrPSfB5xqKA+74D/+MP8fP6M0tAqOk5kjlA+KPO1WqqGnRXFjMsofbir4uNgZrR+h8wzfaZzG93jMi0RLwubR9/EbJrUJoK8OmhzrIxZ0zD2njv1Mg46nNYipNygXGWnZcBLnaJ+TzYhMT81czCzULbwXYgVWRHb+eSVYgLU5xFzHfPTAklIjG5VRFg849sSdygNC4gP4+GM5TfthUwiCG/vG/sb3d2b9vLMgrLe6XFiJ2HhduBfW1ZG+CCV+caHGOYAUzVi0BVCZKGaTKVA0GQFux4s8PiU4SfJktE7cIODXPZha0aRt3hN1vaXPKY/em/Ba6tXi37YPrG5Npb5Yz4tnHqunRKJJ/xDB0T3W6DUnib4ILb9OSmgPlNXM4/OxgYLS0eKZcQ/1wJFHQa9pJq64aXxbLXE0hw5iDZmnl0ZCnKvI2E7aZ3PmGgTIaSUrTp4eIOJp2hsa0po7LWHneqdIMgNymjziSM+XaBoJGm493ALrCu7XbYAGNmzMosNB3X/4ZZJH7GEFcoHp/IhA8ghi2yVq0CuyngJCNgwOUXPnsXOtUbYmnkiICShn8KM8Nf2YudQPXlxmEg2ELdw39p37xlZEGe2Z5p2rDl4C9orO9pEPb7AAGqKcycLctWgtjYNOHJ3sC1m3pyaG4asjl2GX/TuCJXf81S2bYz+KYTFrhIFxjtFLEq6YpqGyeBDeaFofzCuQGSNY4hrvAQaiQ/hupD7R9R/6Gvzi72lHu7jOholLkuQ5lFC0yKG4SfcYGCJLphK0lL5OvA3djfEBlsYkFo7QzNT08wqP3xKWNp/geATEdSt5Gw+BdiK5rKJ2agudKRVpDDt0NTXzCi8fTATMGwTyB38LqYw+nz3TWBATU4LWCYR4bw2cuGxdGdmgQItJ8wL1biFlhkNg48pZAlwpkuw7E53sOfXHGkKCO/5SURfvYmW2CEBOFrgHmbMvBxrRspzCU5iMGGNH2gxhb+Sd+xvf37i/cd+5v+h3XoiVC3FRZOOFtYFVt2VXRUODGIls0nZeLp9kOlSE5rPotgadk3ZKEx9xG3PiBM63X60Wg0TiRUywsR7t2LNZytTHKz3LXHN8YSNX2GLJMS/nEH2Mi0BdZ+OmajIE6SPRfjbSH2z2sOYhn05J0QCrGL9hAmZWoMHmzTQcD8YoJYf5lC/+UMYgKPiPxM7xZX86phon2fUx+y+dvFX+NkSC6F0PacqhJmIo6WQ4VMZ6fdAkbHePboF57nzKCUV/aI8AHH2MhGxJPOsEbhIPehkiE34JwQbzg5517X0io4Fk5pU9hk545tNITt8zv7IcYiq1g1SWNCVWnbYcz7YwN1D3Jz1zt6NQS3m+nIn73t9fuL/w51+4vzuoLOKu5HWWWYs5YyPuhUVAmUUcEgDTAC0UexdMJUwJT3kKdnDa5Z9xU/1x6PUhc48uCCAmqAmgvLA0xpBVpWKzuGcEtf53rsUZpWbFJe2vJPP4G3nSxdpR7FJB5wHDj2RN/3wcgGUye3oIkqKcH/k59TppdgEZTnnHE+LYKJ6IegaiENE55Kl29e+0PKMh/sKbWob9OxMbKdE8msGqbqn2YPQdJXH2tDwYNjxE9pQHqCSAssZ09UaLzWxOVeaY0HCK8iHwbe9ZKGa0hMm5AcsjddOeTIYTkQ5wdEtjv/TeITnNVo4u5JG0svf4JBsVvOjMSwp8HUQVKQkcRWHOgOKG4aswP8Z1m4lNyaTxKzfuG/eN7+/8/sMo8k6bOXA3/dKu4z4xUqRkHZuBtdbWH5vUqMMKZmuDegCTCG0B0ykSHHFPs5djmDK1rqb6GiYqP9HXf8jnRTIPkkgd9SU5s9pWafehTIMtttQiRWb/qr+uIzfh/EzqIHV2OP38yvPzmDW5BKCHhrBZmxVh+RigfXN1ZUsDG6P3FDAvkFGTLN31iHYd5R9/OSDeHTcjzjweSHQ5n4kwDvtM4QeL196gN0Sjlng/7Dz7keFdEoijD1cwTTj0jakcXyv37F29nBl5RHQqR++9bWxvOT5aj0AgF/JKNkM7crZmsmLp1DxY1oYmICiYETROSXSTJisBzMordJtxvGzThNXK7RHjVKBLXmImg7Yd99f++sL33/j7D77/xt//C3lnLdKPwLU6YCzG5IW9ZnX+dBez4L2T3iYwmgScQb2cKMU4eUszhzYUCQDbDuGAN0rM0ll+LslBfMk6W3cj8LJxENZa2qq6mtjuh9k9cfJRlGkd0DAQE7yHuC88aQvejWT9iRbxBAAzETo2Tuu4OLxyMpbUjvrWGHUqBJA49wQ9IJmKnlRo9Pkf8UBYZQwHxNlJsrMQsMkSZG82EfANE8gtH8/Baw7ciwM5glVSO9nJFQTREEHbqLZ04w3aaa/ayqdxjuRJPCQVaVsEDPejwhZNrMhP1PfmTiIOssvqTqlB9O9zxUm9blLHlK/e+pJMkPmYWzBUgkpEMp0FJwjMjzsZ4mxV/E7MZi6kBx3mBVAhKSXm5z9LqPVu/9uiV/Kavdgsc0fe2F/YX/n1lV9/8P2V99fO78yNANZCLqByXTuxBvuGMSaEVE+QOPYcD+nFgxmJnTc6RmNOwQp67U2WYyeTHCOAzY3oQjb9v+mnn0vuDE+8aD4MNFDhI3eaRYrPHt22m5at47ISbwZM+IVpXnhJ9VNhCNPGk4VwWWC7D4PPEVp6W4p9frUshahUjYyHQJFNBDM74/UeDXG+b8WFVlZZIiKXv+ktnR9Q6jWPOB5LMDF9dDuZVOZ/2Y4pndRh4ljVxo/F+dkBnBgmbvl3du0XQDgnkxxxQcRPP2uWPS4v3Z7ixOEY1/lnwgddByB6PVHiwT8zbK0YU8h5cFNcfH4Vdc4C48jfUQjj6Ewj3AA4TUwQ5zO2iEBwVe9QLTfyxr5xf2cFkvu779MEGIttHkM25v8puTYHDfu0Uz8++iQZcdY+kSkKQXL9L4bh82BkgdeTRGWkibn/B0IzpcgKZW5kc3RyZWFtCmVuZG9iagoyMiAwIG9iagoxMjUxNjUKZW5kb2JqCjEzIDAgb2JqCjw8IC9CaXRzUGVyQ29tcG9uZW50IDggL0NvbG9yU3BhY2UgL0RldmljZVJHQgovRGVjb2RlUGFybXMgPDwgL0NvbG9ycyAzIC9Db2x1bW5zIDQwNiAvUHJlZGljdG9yIDEwID4+Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9IZWlnaHQgNDA2IC9MZW5ndGggMjMgMCBSIC9TdWJ0eXBlIC9JbWFnZQovVHlwZSAvWE9iamVjdCAvV2lkdGggNDA2ID4+CnN0cmVhbQp4nO3de1TUdf7H8bkxw3AbQUExBO+isOItJbxRph7vu23eyq3jdjxm2+aetqXs4sk4a6c9W5un21qd1ExbtbITblaaeAcCwQuQAeIFRZE7A8Ncv/P7g+rHKuBcvjNfhnk+/pLhO5/v6wvx7vP5zOf7+cpkAAAAAAAAgH+QSx0AgH+Jjo6Oj49v/4rZbM7JybFarVJFAgBHrVy50v6/KioqdDqda62pxA0HAB36wx/+MG/ePJlMNmjQIBGbpYQB8KC+fftqtVqZTDZ9+vSlS5d2eExAQEBcXNzVq1fr6uq8mw4AurR37169Xq/X681ms70TgiC0tLRs3LjRhfbphQHwiBEjRixevDgxMTEkJKTrI+VyeVBQkFqtduEslDAA4gsMDBw7dmx6erqnT0QJAyAyjUaTkZGRmJjohXOJWcImTJgQFxfX4bf0ev3BgwcFQRDxdAC6j4kTJw4YMKDt32q1OiEhoV+/ftJGctrWrVs7m647f/68RqOROiAAT9m5c2dnf/4O+uc//+nCeb00kBwwYMC+ffs+/PDDXbt2eeeMADxNoVBs2rRp+PDhMpls9OjRkmQQp4QFBQUNHjw4PDy8iwPuv//+oqKiwsLCkpISi8UiynkBSCUiIiI2NnbGjBkjR46UOovbJk+ebDKZbDZb1x1Fm81WW1sbExMjdV4A7lq9erXZbBYEwc3xo8QDSblcvnbt2pSUFEfWdCgUioCAALmce8sBn9f25yxKU42Nja+99tqxY8dceK8IJWzZsmWTJk1ysx0AvkIul+t0uuDgYLEa1Ov17777bmNjowvvZV0YAOeEh4cfO3asm8wIebWE5ebm5uTkNDc3e/OkAESUkpIyceLE2NjYO9425KCjR4/+8MMPZrNZlNacplKpsrOzHZyue+6556RJCUAk77zzjjtz9rbbPProo+7kcasXtnDhwueffz4hIcGdRgD4Cb1ev3z58pqamvYvlpeXu9OmWyUsMjKSiXwAXTMYDKdPnxYEobm5OTs7u7a2VsTGmc4H4Fnl5eX33Xdf22yX3W4Xt3FKGAAPev31148ePWqxWEQvXm28VMKsVuuNGzdcW/cBwOdUVVW13UeYkZFx5MgRz53ISyXs4sWLU6ZMoYQB/sBoNM6dO/fChQsymaylpcWj53KrhJ07d+71119/6KGHoqOjOzygvLz8888/l8lk1dXVdXV1PCcO6PGys7MzMzOvXLniG10WhUJx9OjRzjb2z8jIkDogADF1vS7MZDJt2LDBm3ncHUgKgvDII49MmTLl448/5v5twJ9VVlYuWrTo8uXL3jypCHNhly5dCgoK2rdv3+0lLDc31/32AXR/BQUFBQUFhYWFRqNR6iwA0InOBpLLly+XJI9CkrMC6DHOnTu3cOHCo0ePSnJ2ShgAJ1RVVZWVldlstrYvL1++XFBQkJGRce3aNWmDAcCdqVSqmJiY6upqu91utVqTk5PF2rvVxTwSnhuAz7FarbW1tenp6UFBQYIgXLx4kaf5AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAICU5FIH6O4iIyOTk5MdOdJsNmdmZprNZk9HAgBHzZo1y+6YmpqaqKgoqfMC/kUldYDu5c9//vOsWbPavxIZGenge8PCwj755JO9e/e+9957HogGoAP+XsJ0Ol10dPSvX06fPn3+/PmuNRUQEDBz5sy6urrMzMxLly4ZjUaRMgJAJ1asWGFqx2azOThs7IzNZjMYDOPGjZP6ygC/4Ke9sDlz5qSmpspkssTERLVaLWLLCoVCrVbL5XxOAniDn5aw1NTUtLQ0qVMAcJdC6gAA4Dq/64WFhYUtWLBg1KhRHmq/pKQkKyurtrbWQ+0D8GujRo0ymUxuztl3RhCEd999V+pLBNBDvfbaa3l5eYIgeKJ+NTQ0LFiwYOjQoVJfJeBH/GsgOWrUqPHjx4vbpsFgKCwsbCthx48fr6+vF7d9AF3wrxLmCSUlJVOnTrVarTKZTBAEqeMA/sW/Stjbb7+dm5v70ksvqVSuX7jJZNqwYUNNTU3blzU1NRaLxW63i5QRADo3dOjQy5cv6/V6p+a56uvrr//iwoULsbGxUl8HAL+kUCjCw8M3bdrkVAl79NFHI34RHh6uULCeDugW/GsgKZPJBEGor68/ePCgU/NWBQUFdXV1nksFwDWu38qnUqna7gS0Wq3MBAHwJWFhYd9///2ZM2cKCgoSExOljgPAT7kykBwxYkRiYuLYsWPDw8Ptdvt9993Xv39/mUxWWFhYWVkpdkIAENW//vWvzua8pY4GAJ2LjY3dtWtXaWlphyUsNzd38+bNQUFBUscEgNtER0fPmTOnbRlnZ65fvz5mzJghQ4YMHjw4ICBA6sgA8IuvvvqqtbW16/VTgiAYDAaDwVBfXx8fHy91ZAA9nBNLNDUaTWBgYNfHyOVyrVar1WpDQ0Ofeuqphx9+2L14AOA2pVIZHBx88OBBRxayt5eRkSF1dgA9mUO9sJkzZ547dy4lJcXTaQDAKQ6VsODg4EGDBmm1Wmdb79+//5IlS9pWjQGANH7/+987O4Rsb8GCBVJfAYCeyRs7LqSnp2/ZsoU1FgBEd4cbjORy+ciRIwcNGuTOOZKSknQ63bhx4y5dulRVVeVOUwDgBK1W+9NPP9lsNncGkm0sFgtPnwUgrjsPJJVKpSg7/KlUKnYKBCCurmqKVqvt3bu3Uqn0WhoAcEpXJeyJJ57Iz88fMGCA19IAgFM6ns4PDQ1dsmRJampqZGSklwMBgOM6KGEKhSIqKurNN98MCQnxfiAAcFwHJSw9PX3+/Pls+wWg++ughA0ZMmT06NHejwIAzmKVAwAf9j8lLCEhYfv27cnJyVKlAQCn/P9Asl+/fqNHj16xYoWEaQDAKT+XMJVKtWfPnvHjx0ubBgCcolq3bp1MJlMoFEOGDHFhRzAAkJBq48aNXjiN3W43m81Wq9UL5wLgR9zfgsIR5eXliYmJERERUl8ugB7lDvuFicVsNpeWlppMJu+cDoCfYF0YAB9GCQPgw7xRwioqKkpLS+12uxfOBcC/eGEu/3e/+x3P/gDgCZ6dzv/xxx+3bNly9uxZi8Xi0RMB8FMe7X9lZGRIfX0AejKm8wH4MEoYAB/mwRLWNpb0XPsA4KnpfIvFsnLlylOnTnmofQCQyTwznX/t2rUjR44MHDhQ6osD0NN5ooT94x//4MHdALxA5IFkfX39Sy+9lJOTIwiCuC0DQAdE7Hw1NDScOnUqNDRU6msC4DdELGFr1qzR6XRyuVzqawLgL1wcSJpMpq1btxoMhvYv5ubmNjY2ipEKABzjeCfLarWaf1FVVdW3b1+pswPwd070wp544omTJ0+2/dtqtdbW1nomEgA4quMS1traeuLECZvN1v7FvLy8wsJCr6QCAMd0OGYsLy8PDg6WOhoA3IHqgQceuP1Vg8FgNBq9nwYAnMICiK4MGDBAo9F0fYzJZKqoqPBOHgC3oIR1SqVSnTx5MjExsevDzpw5M3XqVJ7yC0jCS8+R9DnJyckLFiyIi4vTarVdHzlw4MANGzYIgtDS0vLWW2+1tLR4JyEAdEAulwcHBz/77LPO3pxQW1s7cODAOw48AcCDIiMjCwoKamtrnS1hNpvtypUr6enpUl8BAH81ceLENWvW6PV6Z+vXrw4cOLBs2bKIiAipLwWA//nwww9dLl6/slqt48ePl/pSAL/AxoQ/i4+PP3DgwNy5c6UOAsAJfCL5M51Od99997HZLOBb+IsF4MMoYQB8GCVMJpPJdDpdr169pE4BwGnMhcnkcvn27dunTp3KRBjgc/ijlclksvDwcHphgC+ihAHwYZQwAD6MEgbAh1HCAPgwShgAH8aiCpE1NzdXV1ebTCapgwB+gV6YyHbt2jV69Oji4mKpgwB+gV6YaFpbWzdv3pyZmdnc3Cx1FgB+Qy6XHzx40Gg0urNHmNlsrqioiIyMlPpqAPifmJiYBx980GazuVzCNmzYMHjwYKVSKfWlAP6FgaRMJpNdvXrV5WdBNjY2Hj58ODs7u7y8XNxUAO6IEuau8vLyBx98kOdIApLgE8mfnT9/ft68ed9++63UQQA4gV7YzxobG7/55pvk5OS4uLhhw4bdcVarqanpypUrMpmsrKzMbrd7JSMAdEmpVA4YMKCuru6O8/d79uwJCAgICAhQqfjfACAZ/vz+h81mq62tfeGFF2bPnr1o0aLbD/j222/bBpslJSUWi8XrAQHAAWvWrKnvSFpamtTRAPw/udQBuqng4GCdTnf7601NTSy+BwAAAAAAAAAAAADAH7CoAh6kUCiioqIcf0y6xWKprq72aCT0MJQweFCfPn1ycnJ69+7t4PFFRUXTp09n2w84jhuM4Cn333//5MmT+/XrFxQU5OBbBg0a9PTTT9tsNqPRuGXLFoPB4NGEANABuVyuVqvff/99l3fBraur69evn9TXAR9ALwziGzVq1KeffhoTEyN1EPR8lDCILzAwcNSoUTxJAF7Arq0AfBi9MIgsPT19ypQpdMHgHZQwiGzq1KnTp0+XOgX8BQNJAD6MXhhEk5SUtHTp0kGDBkkdBACct3z5cpcXgrEuDK5hIAnAh1HCAPgwShi6IztPF4ZjKGHodt5+++2FCxfW1dVJHQQ+gE8k0V2UlpY2NTXJZLKTJ0+eOHFC6jjwDZQwdBdPPfXUgQMHZDKZIAhSZ4HPELmE9erVa/369Vqttv2L77zzTmFhobgnQrei0WjWr18/adIkp9719ddfZ2Rk/PplYWGhzWYTOxrgsNDQ0KSkpKamplvW+KxYsSLyF3369HF8G2L4ipCQkMuXL99xtZfZbL7ZTlpamtTBgXbeeuuturo6QRBu+Q+3qamp5hcXL17s37+/1EkhMgdL2JEjR/r06dP7F47v5gp0RpyBZHR09AMPPHD33XeHh4ff/t3Q0NBf/61Wq9nDwH+0trbu3LmztbW17cuSkpKamhppIwG3UiqVqampt3e+OtTU1DRgwACpI0NkISEh5eXlNput/e/aZrNVVlY6/uwPQAJyuXzbtm0lJSWO1C9KWE+lUCgSEhLWrVvX/nf997//PTExkU43PMqtgWR0dHRCQsLdd989bNgwB9+iVCpTUlLOnTtXXFzszqnRrQiCUFRU1K9fv0OHDv36YnZ2Np9Eo1t77LHHHOx83WL79u1SZwfQE0izvmHq1KmffvppfHy8JGcH0GNIszo/Li4uNjb2yy+/bGpqqqyslCQDgB5AslWmcrl869atO3fuZKUrAJe52AsLDAxcs2aNm095CAwMvOVWJP+k0Wgef/zx9qvnZDLZvn37Tp8+LVEioKcLDw+/fv26a3P57eXm5oaEhPjn5+5yuVyr1Wq12ujo6GvXrt3yk3n88ccDAwOlzgj0UGKVMKPRWFZWtmzZMqkvSAJDhw4tLi4uLS29cOGC1Wq95SdTVVV18uTJsLAwqWMC3ZrEm+1oNJohQ4bodDppY3jf5MmT29bTqVQd/wqioqJsNhsThUDX2C9MGs8///zcuXOlTgH4PEqY96jV6vfeey8mJkYmk40bN07qOEBPQAnzksjIyLi4uBkzZsTFxUmdBeg5mGrxkj/+8Y8nT56kfgHicrGEGQyG9evX79q1y83TX7ly5emnn/aHZz0oFIqAgACpUwA9jYsDSZPJ9MEHHxiNxlmzZoWFhbm2sEuv15eUlGzatKlnP+5BoVCEhYWxiBfodrRabf/+/U+dOuXCijBBEH7729/6w354d911V1lZmV6vd/ZHVFlZ2atXL6njA92aW9P5ra2tRqPxs88+q6ysnD9/vuNvLCsrO3z4cGFhYW1trTsBur/U1NSJEyfGxMRoNBqpswDoxJQpU6xWq81mu2Xr4Q7ZbLaPP/5Y6sjeoFAodu7c6UIX1W63C4JQUVFBLwzwhtDQ0EmTJk2aNGnBggVdj5haWloWLlw4ZMgQqSN73JgxY7KysmpqalwrYenp6ePGjfPPu0cBx4mzLkyv1+fk5MhkssjIyBMnTgQHB3d2pMFgyM7Ovnnzpijn7baSkpKmTJmSnJzscgvl5eX5+fkiRgLgEPmdSB3Q45RKZW5uroOPdOrMypUrpb4OwAeIv7T1jn+cop+xG3KnWF+4cGHlypXHjh0TNxLQI4l8g5FSqezbt6+z+yvU19e3tLSIm8RHVVdXFxUVbdu2zU9qPeAmkUtY3759s7Oznd3l6i9/+cvWrVvFTeKL7Hb7ww8/fPLkSeoX4CB3S5hcLn/ooYf69+/f9mVYWFhkZKSz243Onz8/MjJSJpPl5eVlZma6GUlaSUlJs2fP7tu3r2tvb2lpoUMKeINarVar1VqtNicnx5156/beeusttVrtu1P+arX6ySefdPnyBUFISUlx9qQKhaLtd8E9mICjwsLCjhw5UlRUVFxcbDAYxCphtbW1Z8+e9dHnS/bq1evYsWPu7MftWgmbM2dOUVFRUVHRnj17WEcGf+PiQFKpVA4fPrxfv37ipomIiNDpdDNnztTpdG0LzXxI288kKirKm2ecNm3avffeO2rUKJlMptFo5s2bd+bMmcuXL3stA+CTxHr8R2e+++47qS/Rab17966qqnLnqp3thYWEhFy8ePGWRtasWeO5awS6G7Y8FMfq1at37Njhzi2N33///aJFi3788UcHj3/44Yd3797t8ucGQM/AxtPu0mg0AwcOnDZt2uzZs91pp6KiIiMjw5EjAwICBg0aNHny5Dlz5rhzRqAHoIS5Kz4+/vjx497c0TAuLi4nJ+eWp38D/omBpLvkcnlgYKCXPwrUaDR8+AjIKGHdRHNzc2trqyNHarXakJAQ3106B4iLgaT0mpqaZsyYUV5e7sjBmzZtWrBgAXvAAm0oYW6ZMWNGcnKys7e1t5efn5+Xl3fhwoX6+vquj4yOjp4xY8bYsWNFX44H+C5KmFvWrVs3Y8YMd1rYuXPn66+/7siRSUlJ27dvd+dcQM/T7UqYzWZbtWpVbm6u1EG6iyVLlvzpT3+SyWQRERFSZwG6HRdLmNVqPX36dHx8/MCBA0XNI7Pb7QUFBYWFheI2K7rw8PAhQ4Y4u61Qe0ajsaio6MaNG50dEBAQkJCQcM8990ybNs2RBg0GQ3FxcXV1tcuRAD+iUChWrVrlzv00HbJYLGPGjJH64u5s8eLFjjyuqQtFRUVarbaLzxb79etXU1Pj+AbW+fn5Pr3PB+AC1weSgiCI/hTuQ4cO/ec//6moqBC3WU+Qy+XuzOLLZDJBENqK4C2vDx48+G9/+5tcLg8ODg4NDXW8JNnt9g4bBHowt+bCDAZDVVVVRESEWDtVFRYWfvDBB6I05Tlyubx37946nc4TjUdERIwcOXL16tV0pgCP02g0kZGReXl57oyn2tu0aZPU13RnQUFB+fn5XT8u0xHnzp1Tq9XtW5bL5fv3729sbHStwVOnTrFkH/7GrV6YyWSqra21Wq3u52htbf3kk0+OHj3qflOeJpfLe/XqFRIS4k4jGRkZWVlZNpvtltfDwsJc+4hg7969WVlZdkaRgFMUCsWxY8esVqs7/RGbzVZRUeEriwaCg4PLy8tdvlhBECwWy+2bTMjlcrVa3fbsDxekpqZK8cMAfN/QoUNXrlzpzpNf09PTExISfGUQ5GYJy8zMHDNmzO1drYULF54+fbqlpcW1Zilh8E8iLG0tKytz85aXq1evFhUVuZ/ECwYPHpyQkODa1jqCIGRnZx89evT06dPtX1epVMnJyVOnTk1KShInJeA3ut3q/G7u0UcfXb9+vWvvNZvNK1euLCkpueX14ODgTz/9NCYmxu10gN8RZ7Od8+fPL1269MiRI6K01iN9+eWXK1asuH79uugtHz9+fOnSpb7SjQXEJU4vrKamZs+ePRMnThw0aFBMTIyDaz6vX7/etklWU1OTKDG6sx9//PHzzz+//fWIiIgBAwa4trDObrdfvXr11KlTu3fvdjsg4PfUavXQoUMdXNYkCMKsWbOCgoKCgoJUKp8Zz27YsMG16faNGzd22ODGjRtbWlpc+zBEr9fHx8ezdxj8mZi1w2w237x589VXXw0MDLzjwXa7/aeffjIYDCIG8C2RkZGrV69OTU0NCgpy4e2ZmZkHDhy4ceOGyWQSPRuAnsmFXpggCAaD4eWXX27fjkajGT9+vMlkcqHz1ebFF1+U6GcAdCM+M4LzXdevX589e/a1a9fav/juu+/OmjXrlhuMADiLEuZZP/zwQ35+fllZmdFobHulf//+KSkpY8eOdXkVRXNz84EDBxx/aC4A/MzZgeTy5ctvaWHRokUuDx7blJSUePOxlUB3Ri/MOdu2bcvLy3v//fe7uCFBEIQnn3yyrKxMJpOdO3fu19fVavW///3vcePGeSMoAHRIq9V+/fXXly5d6qyXZLVax48ff8u7oqKiJkyY0MW7HHTp0qWvvvqKhRQAXKdSqZYvX+5UCXv22WctFoub9ctuty9evNhX7ocHvICBpCusVmtubu7atWs7/K7dbr9972yFQuHmCt7z58+/9957+fn5t+8yBgCetW7dOnc6Xw0NDdxFBNyOXpgPsFgsixYtOnPmjNRBgG6HEtbdnTt37vjx46WlpQ0NDVJnAbodSpg3KBQK157YJgjCd99998wzz4geCQAc0rdv38zMzIqKCmfnv2pqambMmBEbGyv1FQDdF70wz4qPj09MTJw0aZLj6+n1ev3p06ftdnttbW1OTk5zc7NHEwJAp7Zv3+7sXmBZWVlKpVIul/M0XACSiY+P37Ztm1PPOhIE4ZVXXrn9+WwA4FV9+/ZdvHixc1NfdrsgCCkpKVJnB3wJc2HiUygUu3btuvvuu6UOAvR84jzBCO3J5fKQkBDXtpMG4BR6YSJTKpUajcaFmXhBEEwmkyAInkgFAA5ZtmzZ+fPnW1tbnZ0I++KLL0aMGMFehoBT6IWJRq1Wp6amTps2bcSIES68vbGx8aeffhI9FdCzUcJEExoaun379qioKKmDAH6EEuauwYMHv/HGG0qlUq1W9+rVS+o4gH+hhLkrLCxs3rx57mxnKAhCeXl5ZWWliKkAP0EJk55er585c+bVq1elDgL4HkqYW1atWjV58mT3N7O3WCxWq1WUSABwZyqVKiws7PDhw84unriF0Wi8cuVKdHS01BcEwJ/Mnz+/oqLCaDS6WcJeeeWV/v37u7YhIgAGki4KCgqKiYlxp4XGxsaMjIysrCwm8gGXUcIkU1FR8dhjj5nNZqmDAD6MEiaNtLS077//3mKxSB0E8G2UMKcpFIrRo0cPGzbM2Tfa7fazZ88ajUaZTHbixIn8/HwPpAOALgUHB5eVlTm7nbTdbm9tbY2Pj3f5aUYAbkcvzBUKhcLZ7XT279+/Z8+e69evs50OICJKmHNCQkKioqKcWssqCEJ1dfWxY8e2bNniuWAAcGfPPfdcXV2dzWZzfPxYUVERGxvLRmCAJ9ALc45Wqw0PD3f8+G+++SYrK6uqqspkMnkuFbxs9uzZI0eO7OKA48eP5+XleS0P4KgNGzY40vOyWCxms9lsNi9fvlzqyHCXSqUK+F87duzo+j+AtLQ0qVP7C3ph4hME4ZFHHikqKpLJZFeuXJE6Dtyi0+n27t3bu3fv9i/GxsZKlQe3oISJz263l5SUnD17VuogcNeIESN+85vfjB071tnNLIcPH37vvfeePHmSCQR0L44MJK1W6/jx46VOChFs2rTJkXmDDjU0NLh5Fy0cwRpLkX333XeLFy++cOGC1EHglri4uF27ds2dO9flFoKDgzdv3vzkk0+KmAq3YyApGkEQrly5kpOTs3fvXqmzwF06ne6BBx5wZz9xlUo1d+7c6upqEVPhdpQw0dTX16emprJzDuBNlDB33bhxY/PmzYIgGAyGmpoaNp9Ae2PGjHn55Zc/+ugjPptGt3DLdH5ra+uJEyfcGW6gexo9erTFYnF5Lr89QRCmTJki9QX1WPztuWXVqlWHDh3iyR2AVChhziksLNy9e/evX54+fZrJLwBA98JA0lewLgyAD6OEAfBhlDAAPowSBsCHUcIA+DBKGAAfRgkD4MNY2gp0zGazKZVKZ5+2dwu73W6z2cSK5Ie6eOBh27Nc3fr1AD2VVqtNSEh45plnli5d6k47+/bt27Bhw/nz55ubm8XK5j9iY2N37Nih0Wg6/O6rr766d+9eemFAB1pbW/Py8qqqqtxsp7a2lkcZuSYhIWHs2LETJ05Uq9UdHjB16tS6ujovpwJ8iTsbT7fZunWr1Bfhq7744gtHfsJM5wPojhychaSEAZ2qr6+/evWqIAhSB/EvgYGBsbGxWq1W6iCAj9NoNHFxcVVVVQwkvWnWrFl6vd7BnULohQGdMplMN2/efPPNN7/55hups/gRpVIZEhLi4GbIlDCgK62tra+++upnn31mMpnsdrvUcXo+tVrd2SoKAC7S6XTx8fFnzpxhIOlRAQEBGRkZFRUVjv+EWRcG3FljY6NerzcajY6/xWq1Hjp0qKCgwHOpepghQ4aMGTMmKSmJp6AD4lMoFDk5OY73DhoaGvhTdMpf//pXZzu5dob2gONSUlLS0tIc+bv66KOPZs2aFRgYKHVk39C7d+/du3cXFxdTwgDPmjZtWtvdxV1LS0uTOqkvueuuuxoaGlyoX3YWVQDwaZQwwAnl5eVpaWn5+flSB+k5lixZ8uKLLzLoBrxn8+bNjY2NHY5rbDZbQ0PD2rVrpc7oA5RKpU6n27Fjh2tDyDZSXwTgg8LDwydMmKDX62//iyotLR04cGBISIjUGX3AhAkTKioqWlpa3ClhrAsDnFZfX19eXr59+3atVqtQKBYtWqTT6WQy2cGDB3/44YerV69arVapM3Z38+bNS0lJueuuu9zcFxeAWzQaTXFxsSAIgiDMmzdP6ji+QS6XZ2VludP5ohcGiMNsNq9YsaJtZ5ji4mKp4/gdShjgFrvdzgeUTomMjBw2bBjThQB80sqVK202myijSDtLWwF4n0IhWuWhhAHwYZQwAD6MEgbAh1HCAPgwShgAH0YJA+DDKGEAfBg3WALwqri4uAkTJmzcuHH48OEOvsVoNK5du7a6uvr2b1HCAHibXC7ftWvXPffc0+ETUgwGQ2VlZftXWlpa5syZc/36dW8FBIAuaTSae++9t8MHEezfv1/7vwIDAzvbk4fbvAFIwGQylZaWrl+//vZvlZWVtba2ej8SAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/odc6gAAPEKhUAQFBXVxgN1ub2lp8VoeD1FJHQCARwwePHj//v0BAQGdHXDz5s3777+/qanJm6lERwkDeqDU1NSJEycOHDhQper0b1yn0y1duvTUqVP5+fnezAYAd/Df//7X7pg33nhD6rBuUUgdAICYJk+efPjw4eTkZKmDeAkDSaBH6dOnz/Tp06VO4T30wgD4MHphQA8REBDwwgsvTJo0SeogXkUJA3oIpVK5fPny4cOHSx3Eq/4PNhqoOgplbmRzdHJlYW0KZW5kb2JqCjIzIDAgb2JqCjg3MDIKZW5kb2JqCjIgMCBvYmoKPDwgL0NvdW50IDEgL0tpZHMgWyAxMCAwIFIgXSAvVHlwZSAvUGFnZXMgPj4KZW5kb2JqCjI0IDAgb2JqCjw8IC9DcmVhdGlvbkRhdGUgKEQ6MjAyMTAxMjMyMTU5MzctMDQnMDAnKQovQ3JlYXRvciAoTWF0cGxvdGxpYiB2My4zLjIsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcpCi9Qcm9kdWNlciAoTWF0cGxvdGxpYiBwZGYgYmFja2VuZCB2My4zLjIpID4+CmVuZG9iagp4cmVmCjAgMjUKMDAwMDAwMDAwMCA2NTUzNSBmIAowMDAwMDAwMDE2IDAwMDAwIG4gCjAwMDAxMzg2NzAgMDAwMDAgbiAKMDAwMDAwNDA4NSAwMDAwMCBuIAowMDAwMDA0MTE3IDAwMDAwIG4gCjAwMDAwMDQyMTYgMDAwMDAgbiAKMDAwMDAwNDIzNyAwMDAwMCBuIAowMDAwMDA0MjU4IDAwMDAwIG4gCjAwMDAwMDAwNjUgMDAwMDAgbiAKMDAwMDAwMDQwNCAwMDAwMCBuIAowMDAwMDAwMjA4IDAwMDAwIG4gCjAwMDAwMDEzNDMgMDAwMDAgbiAKMDAwMDAwNDMwMSAwMDAwMCBuIAowMDAwMTI5NzE4IDAwMDAwIG4gCjAwMDAwMDI5NjAgMDAwMDAgbiAKMDAwMDAwMjc2MCAwMDAwMCBuIAowMDAwMDAyNDM5IDAwMDAwIG4gCjAwMDAwMDQwMTMgMDAwMDAgbiAKMDAwMDAwMTM2MyAwMDAwMCBuIAowMDAwMDAxNjgzIDAwMDAwIG4gCjAwMDAwMDE4MzUgMDAwMDAgbiAKMDAwMDAwMjE1NiAwMDAwMCBuIAowMDAwMTI5Njk1IDAwMDAwIG4gCjAwMDAxMzg2NDkgMDAwMDAgbiAKMDAwMDEzODczMCAwMDAwMCBuIAp0cmFpbGVyCjw8IC9JbmZvIDI0IDAgUiAvUm9vdCAxIDAgUiAvU2l6ZSAyNSA+PgpzdGFydHhyZWYKMTM4ODg3CiUlRU9GCg==\n", + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T02:59:37.545680Z", + "start_time": "2021-01-24T02:59:37.542101Z" + }, + "id": "mta480UcVTKP" + }, + "source": [ + "train_split, test_split = torch.utils.data.random_split(dsb_data, [500, len(dsb_data)-500])\n", + "train_seg_loader = DataLoader(train_split, batch_size=16, shuffle=True)\n", + "test_seg_loader = DataLoader(test_split, batch_size=16)" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T02:59:37.553219Z", + "start_time": "2021-01-24T02:59:37.546891Z" + }, + "id": "dpEAS4ejVTKP" + }, + "source": [ + "C = 3 #How many channels are in the input? \n", + "n_filters = 32 #Smallest value of filters you should usually consider. If we wanted to try and optimize the architecture we could use Optuna to pick a better number of filters. \n", + "loss_func = nn.BCEWithLogitsLoss()#BCE loss implicitly assumes a binary problem" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T03:23:49.985415Z", + "start_time": "2021-01-24T02:59:37.554649Z" + }, + "tags": [ + "remove_output" + ], + "id": "oNhjRvXTVTKP", + "outputId": "cdbe649e-d698-4271-9684-6e6900caff72", + "colab": { + "referenced_widgets": [ + "8353ab171cc64c97a69c1c815f9bd965", + "" + ] + } + }, + "source": [ + "#Define our helper function that creates a hidden layer for a CNN\n", + "def cnnLayer(in_filters, out_filters, kernel_size=3):\n", + " \"\"\"\n", + " in_filters: how many channels are in the input to this layer\n", + " out_filters: how many channels should this layer output\n", + " kernel_size: how large should the filters of this layer be\n", + " \"\"\"\n", + " padding = kernel_size//2\n", + " return nn.Sequential(\n", + " nn.Conv2d(in_filters, out_filters, kernel_size, padding=padding), \n", + " nn.BatchNorm2d(out_filters),\n", + " nn.LeakyReLU(), # I'm not setting the leak value to anything just to make the code shorter. \n", + " )\n", + "#Specifying a model for image segmentation\n", + "segmentation_model = nn.Sequential(\n", + " cnnLayer(C, n_filters), #First layer changes number of channels up to the large numer\n", + " *[cnnLayer(n_filters, n_filters) for _ in range(5)], #Create 5 more hidden layers\n", + " #Make a prediction for _every_ location. Notice we use 1 channel out, since we have a binary problem and are using BCEWithLogitsLoss as our loss function. \n", + " nn.Conv2d(n_filters, 1, (3,3), padding=1), #Shape is now (1, W, H)\n", + ")\n", + "#train the segmentation model\n", + "seg_results = train_network(segmentation_model, loss_func, train_seg_loader, epochs=10, device=device, val_loader=test_seg_loader)" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8353ab171cc64c97a69c1c815f9bd965", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T03:23:50.755475Z", + "start_time": "2021-01-24T03:23:49.986607Z" + }, + "tags": [ + "remove_input" + ], + "id": "zkhxnJthVTKP", + "outputId": "11314ee6-c624-4962-ae51-ce222be30b29" + }, + "source": [ + "index = 6 # Picking a specific example from the dataset that shows a particular result. Change this to look at other entries from the dataset.\n", + "\n", + "with torch.no_grad():#We don't want gradients if we aren't training, so no gradients please!\n", + " #push a test datapoint through the model. Remember the raw outputs are called the logits\n", + " logits = segmentation_model(test_split[index][0].unsqueeze(0).to(device))[0].cpu()\n", + " #apply $\\sigma$ to the logits to make predictions and then apply a threshold to get a prediction mask\n", + " pred = torch.sigmoid(logits) >= 0.5\n", + "\n", + "#Plot the input, ground truth, and prediction\n", + "plt.figure(figsize=(16,10))\n", + "plt.subplot(1, 3, 1)\n", + "plt.imshow(test_split[index][0].permute(1,2,0).numpy(), cmap='gray') #First plot the original input to the network\n", + "plt.subplot(1, 3, 2)\n", + "plt.imshow(test_split[index][1].numpy()[0,:], cmap='gray') #Second is ground truth\n", + "plt.subplot(1, 3, 3) \n", + "plt.imshow(pred.numpy()[0,:], cmap='gray') #Third is the prediction our network made\n", + "\n", + "plt.annotate('Error: Hole', color=\"red\", fontsize=20, xy=(130, 230),\n", + " xycoords='data', xytext=(-60, 60),\n", + " textcoords='offset points',\n", + " arrowprops=dict(arrowstyle=\"->\",\n", + " linewidth = 2.5,\n", + " color = 'red')\n", + " )\n", + "\n", + "plt.annotate('Error: Hole', color=\"red\", fontsize=20, xy=(210, 75),\n", + " xycoords='data', xytext=(-160, -60),\n", + " textcoords='offset points',\n", + " arrowprops=dict(arrowstyle=\"->\",\n", + " linewidth = 2.5,\n", + " color = 'red')\n", + " )\n", + "plt.annotate('Error: Phantom object', color=\"red\", fontsize=20, xy=(247, 15),\n", + " xycoords='data', xytext=(-240, -50),\n", + " textcoords='offset points',\n", + " arrowprops=dict(arrowstyle=\"->\",\n", + " linewidth = 2.5,\n", + " color = 'red')\n", + " )" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(-240, -50, 'Error: Phantom object')" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 12 + }, + { + "output_type": "display_data", + "data": { + "application/pdf": "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\n", + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T03:48:46.862909Z", + "start_time": "2021-01-24T03:23:50.760697Z" + }, + "tags": [ + "remove_output" + ], + "id": "FDuNHDFKVTKQ", + "outputId": "7a0b1a01-a037-4eb7-9449-bf2f442817bb", + "colab": { + "referenced_widgets": [ + "94246cc4612e44dd862697c182ff9f3e", + "" + ] + } + }, + "source": [ + "segmentation_model2 = nn.Sequential(\n", + " cnnLayer(C, n_filters), #First layer changes number of channels up to the large numer\n", + " cnnLayer(n_filters, n_filters),\n", + " nn.MaxPool2d(2), #Shrinks the height and width by 2\n", + " cnnLayer(n_filters, 2*n_filters),\n", + " cnnLayer(2*n_filters, 2*n_filters),\n", + " cnnLayer(2*n_filters, 2*n_filters),\n", + " #Double the height and width, countering the effect of the single MaxPool2d before\n", + " nn.ConvTranspose2d(2*n_filters, n_filters, (3,3), padding=1, output_padding=1, stride=2),\n", + " nn.BatchNorm2d(n_filters),\n", + " nn.LeakyReLU(),\n", + " #Back to normal convolutions\n", + " cnnLayer(n_filters, n_filters),\n", + " #Prediction for _every_ location\n", + " nn.Conv2d(n_filters, 1, (3,3), padding=1), #Shape is now (B, 1, W, H)\n", + ")\n", + "\n", + "seg_results2 = train_network(segmentation_model2, loss_func, train_seg_loader, epochs=10, device=device, val_loader=test_seg_loader)" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "94246cc4612e44dd862697c182ff9f3e", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T03:48:47.495871Z", + "start_time": "2021-01-24T03:48:46.864068Z" + }, + "id": "TeG79qvOVTKR", + "outputId": "4ac5337d-367d-421f-e5ff-333ce5d53406" + }, + "source": [ + "index = 6 # Same example from before\n", + "\n", + "with torch.no_grad(): #We don't want gradients if we aren't training, so no gradients please!\n", + " #push a test datapoint through the model. Remember the raw outputs are called the logits\n", + " pred = segmentation_model2(test_split[index][0].unsqueeze(0).to(device))[0].cpu()\n", + " #apply $\\sigma$ to the logits to make predictions and then apply a threshold to get a prediction mask\n", + " pred = torch.sigmoid(pred) >= 0.5\n", + "\n", + "\n", + "#Plot the input, ground truth, and prediction\n", + "plt.figure(figsize=(16,10))\n", + "plt.subplot(1, 3, 1)\n", + "plt.imshow(test_split[index][0].permute(1,2,0).numpy(), cmap='gray') #First plot the original input to the network\n", + "plt.subplot(1, 3, 2)\n", + "plt.imshow(test_split[index][1].numpy()[0,:], cmap='gray') #Second is ground truth\n", + "plt.subplot(1, 3, 3)\n", + "plt.imshow(pred.numpy()[0,:], cmap='gray') #Third is the prediction our network made" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 15 + }, + { + "output_type": "display_data", + "data": { + "application/pdf": "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\n", + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T03:48:47.499885Z", + "start_time": "2021-01-24T03:48:47.497290Z" + }, + "tags": [ + "remove_cell" + ], + "id": "9fvfhCt0VTKR" + }, + "source": [ + "del segmentation_model\n", + "del segmentation_model2" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T03:48:47.738301Z", + "start_time": "2021-01-24T03:48:47.501216Z" + }, + "id": "Wiz9UFV7VTKR", + "outputId": "fef095b7-7f57-4ff5-fc8f-8db4caa590ee" + }, + "source": [ + "sns.lineplot(x='epoch', y='val loss', data=seg_results, label='CNN')\n", + "sns.lineplot(x='epoch', y='val loss', data=seg_results2, label='CNN w/ transposed-conv')" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 17 + }, + { + "output_type": "display_data", + "data": { + "application/pdf": "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\n", + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T03:48:47.746723Z", + "start_time": "2021-01-24T03:48:47.739686Z" + }, + "tags": [ + "remove_cell" + ], + "id": "BGOBZlk5VTKS" + }, + "source": [ + "class UNetBlock2d(nn.Module): #Our class extends nn.Module, all PyTorch layers must extend this \n", + " def __init__(self, in_channels, mid_channels, out_channels=None, layers=1, sub_network=None, filter_size=3):\n", + " \"\"\" \n", + " in_channels: the number of channels in the input to this block\n", + " mid_channels: the number of channels to have as the output for each convolutional filter\n", + " out_channels: if not `None`, ends the network with a 1x1 convolution to convert the number of output channels to a specific number. \n", + " layers: how many blocks of hidden layers to create on both the input and output side of a U-Net block\n", + " sub_network: the network to apply after shrinking the input by a factor of 2 using max pooling. The number of output channels should be equal to `mid_channels`\n", + " filter_size: how large the convolutional filters should be\n", + " \"\"\"\n", + " super().__init__()\n", + " \n", + " #Start preparing the layers used to process the input\n", + " in_layers = [cnnLayer(in_channels, mid_channels, filter_size)]\n", + " \n", + " #If we have a sub-network, we will double the number of inputs to the output. So lets figure that out now\n", + " if sub_network is None:\n", + " inputs_to_outputs = 1\n", + " else:\n", + " inputs_to_outputs = 2\n", + "\n", + " #Preparing the layers used to make the final output, which has extra input channels from any sub-network\n", + " out_layers = [ cnnLayer(mid_channels*inputs_to_outputs, mid_channels, filter_size)]\n", + " \n", + " #Make the additional hidden layers used for the input and output\n", + " for _ in range(layers-1):\n", + " in_layers.append(cnnLayer(mid_channels, mid_channels, filter_size))\n", + " out_layers.append(cnnLayer(mid_channels, mid_channels, filter_size))\n", + " #Use 1x1 Convolutions to ensure a specific output size\n", + " if out_channels is not None:\n", + " out_layers.append(nn.Conv2d(mid_channels, out_channels, 1, padding=0))\n", + " \n", + " #define our three total sub-networks:\n", + " #1) in_model performs the intial rounds of convolution\n", + " self.in_model = nn.Sequential(*in_layers)\n", + " #2) our subnetwork works on the max-pooled result. We will add the pooling and up-scaling directly into the sub-model\n", + " if sub_network is not None:\n", + " self.bottleneck = nn.Sequential(\n", + " nn.MaxPool2d(2), #Shrink\n", + " sub_network, #process the smaller resolution\n", + " #expand back up\n", + " nn.ConvTranspose2d(mid_channels, mid_channels, filter_size, padding=filter_size//2, output_padding=1, stride=2)\n", + " )\n", + " else:\n", + " self.bottleneck = None\n", + " #3) the output model that processes the concatinated result, or just the output from in_model if no sub-network was given\n", + " self.out_model = nn.Sequential(*out_layers)\n", + " \n", + " \n", + " #The forward function is the code that takes an input and produce an output. \n", + " def forward(self, x):\n", + " #compute the convolutions at the current scale\n", + " full_scale_result = self.in_model(x) #(B, C, W, H)\n", + " #check if we have a bottleneck to apply\n", + " if self.bottleneck is not None:\n", + " #(B, C, W, H) shape because bottleneck does both the pooling & expansion\n", + " bottle_result = self.bottleneck(full_scale_result)\n", + " #Now shape (B, 2*C, W, H)\n", + " full_scale_result = torch.cat([full_scale_result, bottle_result], dim=1)\n", + " #compute the output on the concatenated (or not!) result\n", + " return self.out_model(full_scale_result)\n", + "#Caption: A class implementing a “Block” of the U-Net approach. Each block needs to know how many channels are coming in and out of the block. The block has three components. 1) the input network, what processes the raw input coming into this block. 2) the bottleneck, which is what the block runs after shrinking the current results down by a factor of 2, and then expands the result back up to the original size. 3) the output network, which is run on the results from the prior two sub-networks concatenated together. " + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T04:22:35.825595Z", + "start_time": "2021-01-24T03:48:47.748067Z" + }, + "tags": [ + "remove_output" + ], + "id": "JSCOKwiIVTKS", + "outputId": "b33f38b0-5171-4367-b100-1bd1182c524b", + "colab": { + "referenced_widgets": [ + "4eb4c295992644a68c196ba214470bdd", + "" + ] + } + }, + "source": [ + "unet_model = nn.Sequential(\n", + " UNetBlock2d(3, 32, layers=2, sub_network=\n", + " UNetBlock2d(32, 64, out_channels=32, layers=2, sub_network=\n", + " UNetBlock2d(64, 128, out_channels=64, layers=2)\n", + " ),\n", + " ),\n", + " #Prediction for _every_ location\n", + " nn.Conv2d(32, 1, (3,3), padding=1), #Shape is now (B, 1, W, H)\n", + ")\n", + "\n", + "unet_results = train_network(unet_model, loss_func, train_seg_loader, epochs=10, device=device, val_loader=test_seg_loader)" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4eb4c295992644a68c196ba214470bdd", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T04:22:36.089760Z", + "start_time": "2021-01-24T04:22:35.829480Z" + }, + "id": "bbQhbRLIVTKS", + "outputId": "b6be56d6-b54b-4896-b010-1bef24ca0e56" + }, + "source": [ + "sns.lineplot(x='epoch', y='val loss', data=seg_results, label='CNN')\n", + "sns.lineplot(x='epoch', y='val loss', data=seg_results2, label='CNN w/ transposed-conv')\n", + "sns.lineplot(x='epoch', y='val loss', data=unet_results, label='UNet')" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 20 + }, + { + "output_type": "display_data", + "data": { + "application/pdf": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEGCAYAAABo25JHAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAABKtElEQVR4nO3dd3xb9bn48c8jWd4ztrOHnVhOSJzEmUAWIxQSKDuUQIFSSmnuLfu2QOH2R+9t6WCU0dJymS2UFiirQCGEFZKwYmeQRYYd24mzvfeQ9P39cWTHdjyUxLLk6Hm/XnpZOufo6LHinOd8txhjUEopFbpsgQ5AKaVUYGkiUEqpEKeJQCmlQpwmAqWUCnGaCJRSKsSFBTqAo5WSkmLS0tICHYZSSvUra9asKTHGpHa2r98lgrS0NHJzcwMdhlJK9SsiUtTVPq0aUkqpEKeJQCmlQpwmAqWUCnH9ro1Aqf6iubmZ4uJiGhoaAh2KCiGRkZEMHz4ch8Ph83s0ESjlJ8XFxcTFxZGWloaIBDocFQKMMZSWllJcXEx6errP79OqIaX8pKGhgeTkZE0Cqs+ICMnJyUddCtVEoJQfaRJQfe1Y/uZCJhHsKN/B79f8ntrm2kCHopRSQSVkEsGemj08t+k5dpTvCHQoSvWp/fv3s3jxYsaMGcP48eM599xz2b59OyLCH/7wh9bjbrzxRv7yl78AcO211zJs2DAaGxsBKCkpQUf0n7hCJhFkJmUCsL18e4AjUarvGGO4+OKLOf3008nPz2fLli38+te/5sCBAwwcOJBHH32UpqamTt9rt9t59tln+zhiFQghkwiGxAwh1hGriUCFlE8++QSHw8GSJUtat2VnZzNixAhSU1OZP38+f/3rXzt976233srDDz+My+Xqq3BVgIRM91ERwZnk1KohFRD/8/Zmtuyt6tVzjh8az73nT+j2mE2bNjFt2rQu9991110sXLiQ66677oh9I0eOZM6cObzwwgucf/75xx2vCl4hUyIAq3poR/kOdJ1mpSzp6enMnDmTv//9753uv/vuu3nggQfweDx9HJnqSyFTIgArEbzc/DL7a/czJHZIoMNRIaSnO3d/mTBhAq+++mq3x9x9990sWrSIefPmHbEvIyOD7OxsXnnlFX+FqIKAX0sEIrJARLaJSJ6I3NXJ/gQReVtEvhaRzSLyfX/Gow3GKtSceeaZNDY28tRTT7Vuy8nJoajo8IzE48aNY/z48bzzzjudnuOee+7hwQcf9HusKnD8lghExA48DiwExgNXiMj4Dof9GNhijJkMnA48JCLh/oopIzED0ESgQoeI8MYbb/DBBx8wZswYJkyYwC9+8QuGDh3a7rh77rmH4uLiTs8xYcIEpk6d2hfhqgDxZ9XQTCDPGLMTQEReAi4EtrQ5xgBxYg2FiwXKAL91UYgNj2VY7DBNBCqkDB06tNOqnU2bNrU+nzx5crt2gJbxBC1ef/11v8WnAs+fVUPDgN1tXhd7t7X1R+AkYC+wEbjFGHNEq5SI3CAiuSKSe+jQoeMKypnkDGgiyC0s475/b9EGa6VU0PBnIuhswouOV79zgPXAUCAb+KOIxB/xJmOeNMZMN8ZMT03tdMlNn2UmZVJUVUSju/G4znOs/vpFEU+tLKCwtC4gn6+UUh35MxEUAyPavB6Odeff1veB140lDygAxvkxJjKTMnEbNzsrdvrzYzpljCGnoAyAVTuOr2SjlFK9xZ+JIAdwiki6twF4MfBWh2N2AfMBRGQQMBbw6xU6kD2H9lTUs7/Kmh52VV5Jn3++Ukp1xm+NxcYYl4jcCLwP2IFnjTGbRWSJd/8TwC+Bv4jIRqyqpDuNMX69Qo6MG0mEPSIgiSCn0CoNTB6ewOf5pbjcHsLsITWmTykVhPw6oMwY8y7wbodtT7R5vhc4258xdGS32clIzAhQIignLiKM6+akc8tL69mwp5KpI5P6PA6llGorJG9HAzXnUG5hGVNHJTHXmYoIfLZDq4eUf3U1BXVhYWGfTkP9m9/8hhdffLHdtuXLl/P5558f8zmD0S9+8Yt+OfguJBNBZlImpQ2llNT33YW4vLaJ7QdqmJk+gAEx4UwYGs9KbSdQftTdFNRAn05DvWzZMs4+u33hv7tEoDOe9q2QTQRAn5YK1hSVAzB9lFUVNCcjlXW7yqlt1D945R9dTUE9d+5cgF6Zhvr+++/nscceA+C2227jzDPPBOCjjz7iqquuAqCqqoqmpibadv0uLCzkiSee4OGHHyY7O5uVK1dy7bXXcvvtt3PGGWdw5513snr1ambNmsWUKVOYNWsW27ZtA6zBbpdccgkLFizA6XRyxx13AOB2u7n22mvJyspi4sSJPPzwwwCcfvrp3HrrrcyaNYusrCxWr14NQFlZGRdddBGTJk3ilFNOYcOGDQB8+umnZGdnk52dzZQpU6iurgbggQceYMaMGUyaNIl777239Xe57777GDt2LGeddVZrjJ15/vnnmTRpEpMnT+bqq68GoKioiPnz5zNp0iTmz5/Prl27AKtEdvPNNzNr1ixGjx7dOl/U5ZdfzrvvHq5tv/baa3nttde6/ExfhdSkcy2cSU7A6jl06tBT++Qzc4rKcNiFySMSAZiTkcITn+azuqCMM8YN7JMYVAC9dxfs39i75xw8ERb+tsvdPU1BDcc/DfW8efN46KGHuPnmm8nNzaWxsZHm5mZWrVrVmnA+/PBD5s+f3+59aWlpLFmyhNjYWH7yk58A8Mwzz7B9+3Y+/PBD7HY7VVVVrFixgrCwMD788EPuvvvu1ove+vXrWbduHREREYwdO5abbrqJgwcPsmfPntYR0xUVFa2fV1tby+eff86KFSu47rrr2LRpE/feey9TpkzhzTff5OOPP+aaa65h/fr1PPjggzz++OPMnj2bmpoaIiMjWbZsGTt27GD16tUYY7jgggtYsWIFMTExvPTSS6xbtw6Xy8XUqVM7/c43b97Mfffdx2effUZKSgplZVbHkRtvvJFrrrmG733vezz77LPcfPPNvPnmmwDs27ePVatWsXXrVi644AIWLVrE4sWLefnllzn33HNpamrio48+4s9//nO3/8a+CMkSwYDIAaRGpfZpg3FOQRmThicS6bADMD0tiYgwGyu1nUAF0PFOQz1t2jTWrFlDdXU1ERERnHrqqeTm5rJy5crWRLB06VIWLlzoUzyXXXYZdrv1f6SyspLLLruMrKwsbrvtNjZv3tx63Pz580lISCAyMpLx48dTVFTE6NGj2blzJzfddBNLly4lPv7w2NQrrrgCsBJXVVUVFRUVrFq1qvXO/Mwzz6S0tJTKykpmz57N7bffzmOPPUZFRQVhYWEsW7aMZcuWMWXKFKZOncrWrVvZsWMHK1eu5OKLLyY6Opr4+HguuOCCTn+vjz/+mEWLFpGSkgLAgAEDAPjiiy+48sorAbj66qtZtWpV63suuugibDYb48ePb63OW7hwIR9//DGNjY289957zJs3j6ioKJ++2+6EZIkA+rbBuKHZzcY9lVw3J711W6TDzsz0AazK04FlIaGbO3d/8WUKaji+aagdDgdpaWk899xzzJo1i0mTJvHJJ5+Qn5/PSSedBMDq1at9vmuNiYlpff7zn/+cM844gzfeeIPCwkJOP/301n0RERGtz+12Oy6Xi6SkJL7++mvef/99Hn/8cV555ZXWNg5rOrPDRKTTaV5EhLvuuovzzjuPd999l1NOOYUPP/wQYww/+9nP+NGPftTu+EceeeSIcwPs3r27tRS1ZMkSjDGdHtfZ53f2O7bEGhkZyemnn87777/Pyy+/3JrgjldIlgjAaifIr8jH5fF/Hf3XuytodhtmjBrQbvvsjBS2H6jhgHeQmVK9qaspqD/99NN2xx3vNNTz5s3jwQcfZN68ecydO5cnnniC7OxsRITNmzczbty41rv8tuLi4lrr3ztTWVnJsGHW9GQdJ8HrTElJCR6Ph0svvZRf/vKXrF27tnXfyy+/DMCqVatISEggISGBefPmtfZkWr58OSkpKcTHx5Ofn8/EiRO58847mT59Olu3buWcc87h2WefpaamBoA9e/Zw8OBB5s2bxxtvvEF9fT3V1dW8/fbbAIwYMYL169ezfv16lixZwvz583nllVcoLS0FaK0amjVrFi+99BIAL774InPmzOnx91y8eDHPPfccK1eu5JxzzunxeF+EdCJo8jSxq2qX3z+rZSDZ9LT2YwbmZFjFxM+095DyA1+noIbjm4Z67ty57Nu3j1NPPZVBgwYRGRnZWi303nvvsWDBgk7fd/755/PGG2+0NhZ3dMcdd/Czn/2M2bNn43a7e/x99+zZw+mnn052djbXXnstv/nNb1r3JSUlMWvWLJYsWcIzzzwDWF09c3NzmTRpEnfddVdro/kjjzxCVlYWkydPJioqioULF3L22Wdz5ZVXcuqppzJx4kQWLVpEdXU1U6dO5fLLLyc7O5tLL7209ffu7Du85557OO2005g8eTK33347AI899hjPPfcckyZN4oUXXuDRRx/t8fc8++yzWbFiBWeddRbh4b00a78xpl89pk2bZnrD1tKtJusvWea9ne/1yvm6c80zX5lv/X75Edvdbo+Z+r/LzG0vrfN7DKrvbdmyJdAhBNxZZ51l9u7dG9AYTjvtNJOTkxPQGPpaZ397QK7p4roasiWC9IR0wiTM7w3Gbo9hbVE509MGHLHPZhNmZaSwKq9Ep6VWJ6QPPviAIUN0WdhgF7KJINweTlpCmt8Twdb9VVQ3upjZSSIAmJORzMHqRnYcrPFrHEqFquXLlzN9+vRAhxHUQjYRQN/0HMot9A4kS+t8TqE5TmuQjXYjVUoFSkgngsykTPbW7qW6qeueC8crp7CMIQmRDEvsvK/vsMQoRqfE6PoESqmACflEAP6basIYQ05hGTPSBnTbh3h2RgpfFZTR5Op80I5SSvmTJgL8t0hNcXk9B6oamdFFtVCLOc4U6prcrNtV7pc4lFKqOyGdCAZFDyI+PN5vieDw+IHOG4pbnDomGZvoqmWq9xUWFpKVldVuW8tUyccy1XRFRQV/+tOf/BWuCpCQTgQiQmZSpl8TQVxkGGMHxXV7XHykg8kjErXBWPW5o51qWhPBicmviUBEFojINhHJE5G7Otn/UxFZ731sEhG3iHR/+9zLnElO8iry8Jjer5/PKSxn+qgkbLae5xiZm5HChuIKKuubez0OpbrS3VTTnU27fNddd5Gfn092djY//elP+zpc5Sd+m3ROROzA48C3gGIgR0TeMsZsaTnGGPMA8ID3+POB24wxZf6KqTOZSZnUNteyt2Yvw+OG99p5y2qbyDtYw8VThvl0/BxnKo99nMcX+aUsyBrca3Go4PC71b9ja9nWXj3nuAHjuHPmncd1jq6mmu5q2uXf/va3bNq0ifXr1x9n9CqY+LNEMBPIM8bsNMY0AS8BF3Zz/BXAP/wYT6f81WCc620fmJnuWwFnyshEYsLtOhup6lVd9VZru72zqaa7mnZZnZj8OQ31MGB3m9fFwMmdHSgi0cAC4MYu9t8A3ADWHUxvykjMQBC2l2/nzJFn9tp5c4vKCbfbmDgswafjHXYbJ49O5rO80l6LQQWP471zP1bJycmUl7fvjVZWVkZ6+uEp0Tubatp0Me1yYWGhX+NVgeHPEkFntyJdTahzPvBZV9VCxpgnjTHTjTHT2y531xuiHdGMiBvR6yWCnMIyJg1PaF2IxhdzMlIoKKmluLyuV2NRoSs2NpYhQ4bw0UcfAVYSWLp06RHTHXecarqraZd7mjpa9U/+TATFwIg2r4cDe7s4djEBqBZq0dtTTdQ3udlYXMkMH6uFWsx1WtNSr9LeQ6oXPf/88/zqV78iOzubM888k3vvvZcxY8a0O6bjVNNdTbucnJzM7NmzycrK0sbiE4g/q4ZyAKeIpAN7sC72V3Y8SEQSgNOAq/wYS7cykzL5ZPcn1LvqiQo7/mXf1u+uwOUxPQ4k6yhjYCyD4iNYlVfC4pm9WwWmQtf48eP55JNPjtjecbGX119/vd3rW265hVtuueWI93W1rKXqv/xWIjDGuLDq/N8HvgFeMcZsFpElIrKkzaEXA8uMMbX+iqUnmUmZeIyHnRU7e+V8uYVliMC0kUdXIhARZmek8Hl+KR6PTkutlOobfh1HYIx51xiTaYwZY4y5z7vtCWPME22O+YsxZrE/4+hJb/ccWl1YxthBcSREO476vXOdKZTVNrFlX1WvxKKUUj0J6ZHFLYbHDScqLKpXEoHL7fEuRHN01UItZnuXr9RRxicGXXBI9bVj+ZvTRADYxIYz0dkriWDr/mpqm9zM6GF+oa4MjItk7KA4Xcf4BBAZGUlpaakmA9VnjDGUlpYSGRl5VO/zZ2Nxv+JMcvLRro8wxnQ7ZXRPWiaaO9ZEANZspC98WURDs/uoup+q4DJ8+HCKi4s5dEgHCaq+ExkZyfDhRzdLgiYCL2eSk9d2vEZJfQmp0cc+ViG3sJxhiVEM7WIhGl/McabwzKoCcgrLmOvs3XETqu84HI52A7eUClZaNeTVGw3GLQvRHGv7QIuT0wfgsItOS62U6hOaCLx6IxHsKqvjYHXjcVULAUSHhzF1ZJIOLFNK9QlNBF4JEQkMih50XIkgx7tQ/fEmArC6kW7eW0VpTeNxn0sppbqjiaCN412kJrewjIQoB86BsccdS0s30s/zdRI6pZR/aSJow5nkZGflTpo9x7Y4zOrCMp8XounJpOGJxEeGafWQUsrvNBG0kZmUicvjorCy8KjfW1rTyM5DtT2uT+wru02YNSaFVXkl2g9dKeVXmgjaOJ4G49yilvaB4+sx1NYcZwp7KuopKAnYNExKqRCgiaCNtIQ0wmxhx5QIcgrKCA+zMXG4bwvR+GKOt51ARxkrpfxJE0EbDpuDMQljji0RFJWTPTyRiLDeGwk8Kjma4UlROu+QUsqvNBF0cCyL1NQ1udi8p/K4B5J1JCLMdabwRX4pLren5zcopdQx0ETQQWZSJgfqDlDZWOnze9bv8i5Ec5QrkvlidkYK1Y0uNuzxPR6llDoamgg6OJYG45zCckRg6sjeLREAzB6TgoguX6mU8h9NBB0cWyIoY9zgeBKijn4hmp4kxYSTNTRBE4FSym/8mghEZIGIbBORPBG5q4tjTheR9SKyWUQ+9Wc8vkiJSiEpIsnndgKX28PaXeW92m20o9kZKazdVU5to8tvn6GUCl1+SwQiYgceBxYC44ErRGR8h2MSgT8BFxhjJgCX+SseX4nIUU018c2+auqa3L02kKwzc50puDyGrwp0ugmlVO/zZ4lgJpBnjNlpjGkCXgIu7HDMlcDrxphdAMaYg36Mx2fOJCd5FXl4TM89dVa3LkTjvxLBtFFJRITZtBupUsov/JkIhgG727wu9m5rKxNIEpHlIrJGRK7p7EQicoOI5IpIbl+s9pSZlEm9q57i6uIej80tLGN4UhRDEo59IZqeRDrszEwfoO0ESim/8Gci6GzmtY6T5oQB04DzgHOAn4tI5hFvMuZJY8x0Y8z01FT/r9jla4OxtRBNea9MO92TORkp7DhYw4GqBr9/llIqtPgzERQDI9q8Hg7s7eSYpcaYWmNMCbACmOzHmHwyOnE0NrH1mAgKS+soqTn+hWh8McdpTTehpQKlVG/zZyLIAZwiki4i4cBi4K0Ox/wLmCsiYSISDZwMfOPHmHwSFRbFyLiRPSaCnD5oH2hx0uB4kmPCdflKpVSv89vi9cYYl4jcCLwP2IFnjTGbRWSJd/8TxphvRGQpsAHwAE8bYzb5K6ajkZmUyTdl3eek3MIyEqMdjEk9/oVoemKzCbMyDk9LLXL8ax4opRT4MREAGGPeBd7tsO2JDq8fAB7wZxzHwpnk5IOiD6hrriPaEd3pMTmF5UwfNaBXFqLxxdyMFN7+ei/bD9QwdnBcn3ymUurEpyOLu5CZlInBkFeR1+n+Q9WNFJTU9km1UIvZ3naClTv833NKKRU6NBF0oaeeQ2uKrPYBfw4k62hYYhSjU2J0fQKlVK/SRNCFobFDiXHEdJkIVheUExFmY+Kw3luIxhdznCl8VVBGk0unpVZK9Q5NBF2wiQ1norPLRJBbVEb2iETCw/r2K5yTkUJdk5u1u8r79HOVUicuTQTdaFmkpuPi8bWNLjbvreqT8QMdnTImGbtNdDyBUqrXaCLoRmZSJlVNVRyoO9Bu+7pdFbj9tBBNT+IjHUwenqDjCZRSvUYTQTe6ajDOKSzDJjB1ZGIAooI5zlQ2FFdQWdcckM9XSp1YNBF0w5nkBI5MBLlF1kI0cZG9vxCNL+Y6U/AY+GKnlgqUUsdPE0E34sLjGBoztF0iaHZ7WFtUwcwAVAu1yB6RSEy4XauHlFK9QhNBDzKTMtutVrZlbxX1zW6m9+FAso4cdhunjE7WBmOlVK/QRNADZ5KTwspCmtxNQNuJ5gJXIgBrPEFhaR27y+oCGodSqv/TRNCDzKRMXMZFQWUBYCWCkQOiGRQfGdC45mRY003oKGOl1PHSRNCDtj2HjDHkFpYHtFqoRcbAWAbFR7BSE4FS6jhpIujByPiRhNvC2V6+nYKSWkprmwJeLQQgIszJSOXzvBI8no4LvymllO80EfQgzBbGmMQxbC/fHjTtAy3mOlMor2tm896qQIeilOrHNBH4oKXnUE5hOUnRDsakxgQ6JABmZSQDaDdSpdRx6TERiMgtIhIvlmdEZK2InN0XwQULZ5KTQ/WHWF1UxPS0AUGzOtjAuEjGDY5jVZ6uT6CUOna+lAiuM8ZUAWcDqcD3gd/6cnIRWSAi20QkT0Tu6mT/6SJSKSLrvY//d1TR95GWBuM9dQXMDJJqoRZzMlLIKSynodkd6FCUUv2UL4mg5fb3XOA5Y8zXbbZ1/SYRO/A4sBAYD1whIuM7OXSlMSbb+/hfH+PuUy2JwBaxPyh6DLU125lCk8vT2n6hlFJHy5dEsEZElmElgvdFJA5rofmezATyjDE7jTFNwEvAhcceauAkRyUTIQmER+9nwtC+XYimJyenDyDcbtNRxkqpY+ZLIvgBcBcwwxhTBziwqod6MgzY3eZ1sXdbR6eKyNci8p6ITPDhvAEhzUOIjj3U5wvR9CQ6PIypoxJZqYlAKXWMfLmqnQpsM8ZUiMhVwH8DlT68r7Pqo44d3tcCo4wxk4E/AG92eiKRG0QkV0RyDx3q+4bRmkYX1VUpNNv24fYEX138XGcqW/ZVUVrTGOhQlFL9kC+J4M9AnYhMBu4AioDnfXhfMTCizevhwN62BxhjqowxNd7n7wIOEUnpeCJjzJPGmOnGmOmpqak+fHTvWrerHFfDENw0sat6V59/fk9mt0w3kV8a4EiUUv2RL4nAZay1Gi8EHjXGPArE+fC+HMApIukiEg4sBt5qe4CIDBZvX0wRmemNJ+iuZjkFZdA4GDhybYJgMHFYAglRDlbt0G6kSqmj50siqBaRnwFXA//29gbqcUUWY4wLuBF4H/gGeMUYs1lElojIEu9hi4BNIvI18Biw2HRcIDgI5BSWMzY5A7vYgzIR2G3CrDHWtNRB+PUppYJcmA/HXA5ciTWeYL+IjAQe8OXk3uqedztse6LN8z8Cf/Q93L7X7Pawbnc5i2eMxOFJC8pEAFb10Hub9lNQUsvo1NhAh6OU6kd6LBEYY/YDLwIJIvJtoMEY40sbwQlh055KGpo9zEwfcMQiNcFkrtNqJ9DpJpRSR8uXKSa+A6wGLgO+A3wlIov8HViwyC0sB2D6qCScSU721OyhpqkmwFEdaVRyDCMGRGk3UqXUUfOlaugerDEEBwFEJBX4EHjVn4EFi5zCMkYlRzMwPrJ1hHFeRR7ZA7MDG1gn5mSk8M7X+3C5PYTZg2u8g1IqePlytbC1JAGvUh/f1+8ZY8gtKm+ddrrtIjXBaE5GKtWNLr4u9mWYh1JKWXy5oC8VkfdF5FoRuRb4Nx0agE9U+YdqKattYoZ3fqHBMYOJc8QFbSKYNSYZEXS6CaXUUfGlsfinwJPAJGAy8KQx5k5/BxYMcr0TuU33lghEBGeSM2gTQVJMOBOHJeg6xkqpo+JLGwHGmNeA1/wcS9BZXVhGckw4o1MOL0STmZTJOzvfwRgTNOsStDU7I4WnVuykptFFbIRP/7xKqRDXZYlARKpFpKqTR7WIhMTaiC0L1be94DuTnNQ017Cvdl8AI+va3IwUXB7DVzuDboC2UipIdZkIjDFxxpj4Th5xxpj4vgyyV5TsgH//BFxNPh1+oKqBXWV1R6xPHOwNxlNHJRHpsGk3UqWUz0Ki9w8A5YWQ8xRseMmnw7taqN6Z5ASCNxFEOuzMSBug7QRKKZ+FTiLIOAuGToEVD4K7ucfDcwvLiXLYGT+0feEnxhHD8NjhQZsIwBplvONgDfsrGwIdilKqHwidRCACp90FFUWw4eUeD19dUMaUkYk4OhmYlZmUGdSJYE6GNVW3TjehlPJF6CQCgMxzYMhkb6nA1eVhVQ3NbN1fdUS1UAtnkpOiqiIa3cG5EMy4wXEkx4Rr9ZBSyieh1WtIBE67E8oLYOM/uzxs3a4KPObI9oEWmUmZeIyH/Ip8f0V6XGw2YXZGCqvydFpqpVTPQqfXUIux58KgibDiAehi2cmcgjLsNmHKyMRO9wd7zyGAOc4UDlU3su1AdaBDUUoFOZ+rhkRkoIiMbHn4Myi/EoHT7oCyfNjU+Ri5nMIyJgyNJ6aLAVkj4kYQaY8M7kTgXb5Sp5tQSvXEl2moLxCRHUAB8ClQCLzn57j8a9y3YeCETksFTS4P63dXMH1U59VCAHabnYzEjKBOBEMToxidGqMNxkqpHvlSIvglcAqw3RiTDswHPvNrVP5ms8FpP4WS7bD5jXa7Nu6ppNHlYWZ6UrenyBwQvIvUtJibkcJXO8todHVeBaaUUuBbImg2xpQCNhGxGWM+AbJ9ObmILBCRbSKSJyJ3dXPcDBFx9+mCNyddCKnjvKUCT+vmlonmpnVTIgBwJjopayijpD5477jnOFOpb3aztqgi0KEopYKYL4mgQkRigRXAiyLyKNB130sv7yL3jwMLgfHAFSIyvovjfoe1yH3fsdlg3k/h0Fb45l+tm3MKy0lPiSE1LqLbt/eHBuOTRw/AbhPtRqqU6pYvieBCoA64DVgK5APn+/C+mUCeMWanMaYJeMl7ro5uwprZ9GAn+/xrwsWQkgmf3g8eDx6PIbeorHX9ge60TDURzNVD8ZEOskckslITgVKqG74kghuAocYYlzHmr8aYx7xVRT0ZBuxu87rYu62ViAwDLgae6O5EInKDiOSKSO6hQ4d8+Ggf2eww7w44uAW2vkP+oRoq6ppb1x/oTlJkEgOjBgZ1iQCs3kMbiyuorOt5Wg2lVGjyJRHEA++LyEoR+bGIDPLx3J1N1t9xdNMjwJ3GmG5bM40xTxpjphtjpqempvr48T7KugSSM+DT+8kpsPJbVwPJOnIOCN5FalrMcabgMfDFTi0VKKU658sKZf9jjJkA/BgYCnwqIh/6cO5iYESb18OBvR2OmQ68JCKFwCLgTyJykQ/n7j02u9VWcGAj9ZveISU2grTkaJ/empmUSX5FPi5Pj00mAZM9IpHYiDCdllop1aWjmWvoILAfa/H6gT4cnwM4RSRdRMKBxcBbbQ8wxqQbY9KMMWnAq8B/GmPePIqYekfWIhgwmjl7nmHGqESfVx5zJjpp9jRTVFXk5wCPncNu45TRA3Q8gVKqS74MKPsPEVkOfASkAD80xkzq6X3GGBdwI1ZvoG+AV4wxm0VkiYgsOb6we5k9jIrpNzPW7OTi2E0+v60/9BwCq52gqLSO3WV1gQ5FKRWEfFnUdhRwqzFm/dGe3BjzLvBuh22dNgwbY6492vP3ppVRZzLZk8qcPc+A+Z41FUUPRieMJkzC2F6+nYXpC/sgymMzx+mdbiKvhCtm9t/ZQZRS/uFLG8Fdx5IE+pucXdU8ySVEl2yAHR/49B6H3UF6YnrQlwjGpMYyOD5S5x1SSnUqtNYj6EZOYTm7R1wACSPh09+Bj9M3B/siNQAiwhxnCp/ll+D26LTUSqn2NBEAlfXWQjRT0wfB3NthTy7kf+TTe52JTvbX7qeqKbiXaJiTkUJFXTNb9gZ3nEqpvqeJAFi7qxxjsEYUZ38X4ofDct9KBS0NxsE8whhgtnda6pV5vTggTyl1QtBEgDXRXJhNyB6ZCGHhMPc2KF4NO5f3+N7+0nMoNS6CcYPjtJ1AKXUETQRATkE5E4YlEB3u7UQ15WqIG+pTW8HA6IEkRCQEfSIAq3oot7Cc+iadllopdVjIJ4JGl5v1xRXMGNVmormwCJhzG+z6AgpXdvt+EekXDcZgdSNtcnvI8U61rZRSoImATXsqaXJ5jpxobuo1EDvYaivoQWZSJnnleXiMp8djA+nk9GTC7TYdZayUaifkE8HqgnKAI6eedkTCnFuhaBUUrur2HM5EJ3WuOvbU7PFTlL0jKtzOtFFJOu+QUqqdkE8EuYVljE6NITm2k4Vopl0LsYOstoJu9JcGY7Cqh77ZV0VJTWOgQ1FKBYmQTgTWQjTlzOhqWUpHFMy+BQpWQNEXXZ5nTOIYBOkficDbjVRXLVNKtQjpRLDjYA2V9c3MSO9m/YFp34eY1G5LBdGOaEbGjwz6sQQAWcMSSIhyaDdSpVSrkE4ELb1nul2aMjwaZt0MOz+B3au7PKy/9Byy24RZY5L5LK8E4+M0GkqpE1tIJ4LcwjJS4yIYOaCHhWhm/ACik7stFTiTnOyq2kW9q76Xo+x9c5wp7K1sYGdJbaBDUUoFgZBOBDmF5cxMG9DzQjThMTDrJsj7EIrXdHpIZmImBkN+Rb4fIu1dczOs5T61ekgpBSGcCPZU1LOnop7p3VULtTXjeohK6rJU0J96Do1MjmbkgGg+2XYw0KEopYJAyCaC3Nb2Ad8WqiciDk69EXa8D3vWHrF7WNwwosKi+kUiALh4yjCWbzvEOxs6LiOtlAo1fk0EIrJARLaJSJ6I3NXJ/gtFZIOIrBeRXBGZ48942sopLCM2Ioxxg+N8f9PMGyAyEVY8cMQum9hwJjn7TSK48cwMpoxM5GevbWRXqS5hqVQo81siEBE78DiwEBgPXCEi4zsc9hEw2RiTDVwHPO2veDrKLSxnyshEwuxH8RVExsOpP4Zt78K+r4/YnZmUyY7yHf2iN47DbuOxxVMQgRv/sZYmV3BPj6GU8h9/lghmAnnGmJ3GmCbgJeDCtgcYY2rM4atmDNAnV9DKuma2Haj2vVqorZN/BBEJ8On9R+xyJjqpaKzgUH3/mPN/xIBo7l80iQ3Fldy/dGugw1FKBYg/E8EwYHeb18Xebe2IyMUishX4N1ap4AgicoO36ij30KHjv8iu2VXmXYjmGBJBZAKc8h+w9R3Yv6ndrv7UYNxiQdYQrj5lFE+vKuDjrQcCHY5SKgD8mQg665N5xB2/MeYNY8w44CLgl52dyBjzpDFmujFmempq6nEHllNYbi1EMyLx2E5wyhKIiD+iB5EzyQn0r0QAcM95J3HSkHj+65Wv2V/ZEOhwlFJ9zJ+JoBgY0eb1cKDLLirGmBXAGBFJ8WNMgNVjKGtYAlHh9mM7QVSSVUX0zVtwYEvr5oSIBAbHDO53iSDSYeePV06h0eXhlpfW6QL3SoUYfyaCHMApIukiEg4sBt5qe4CIZIh3NJeITAXCgVI/xkRDs5uvd1cys7v5hXxxyn9CeCysaN9W0F+mmuhoTGosv7wwi68Kynjso+CfM0kp1Xv8lgiMMS7gRuB94BvgFWPMZhFZIiJLvIddCmwSkfVYPYwuN37ucrNxTyVNbg/TR/k4kKwr0QOs7qSb34SDhxtaM5MyKagsoNndfHznD4BLpw3nkinD+MPHO/gi36/5WCkVRPw6jsAY864xJtMYM8YYc5932xPGmCe8z39njJlgjMk2xpxqjOl+BZhe0DLR3BErkh2LU28ER3S7cQXORCcuj4uCqoLjP38A/PKiLNKSY7jlpXWU6poFSoWEkBtZnFNQRsbAWAbEhB//yWKSYeb1sOk1OGRVB/XHnkNtxUSE8Ycrp1BR38x//fNrPNpeoNQJL6QSQetCNL7OL+SLWTdbC9isfBCAUQmjcNgc/TYRAEwYmsB/n3cSy7cd4ulVOwMdjlLKz0IqEWw/WE11g4vpXa1IdixiUqxpqjf+E0rycNgcjEkc068TAcDVp4zinAmDuH/pNtbvrgh0OEopPwqpRJBTYLUPHHePoY5m3Qz2CFj5EOCdaqKsf/e8ERHuv3Qyg+Ijuekfa6lq6H+N30op34RWIigsZ1B8BMOTonr3xLEDYfp1sOFlKNtJZlImB+sPUtFQ0buf08cSoh08dsUU9lY08LPXNvaLOZSUUkcvZBKBMYacwjKm+7IQzbGYfTPYHbDyIZyJ1gjjHRX9u1QAMG1UEj85eyz/3riPv6/eFehwlFJ+EDKJYE9FPfsqG5jZG91GOxM3GKZdC1+/RKbNKnH093aCFj+aN5p5man879tb2Lq/KtDhKKV6WcgkgtzCcgDfVyQ7FrNvAbGRvPpZBkQOOGESgc0m/P47k4mPcvDjF9dS1+QKdEhKqV4UMolg/kkDee77Mxg3ON5/HxI/FKZ+D/n67zhjR7C97MRIBAApsRE8cnk2O0tqufdfmwMdjlKqF4VMIoiLdHDG2IHYbX5oH2hrzq2AkFldRn5lPm6P27+f14dmZ6Tw49Mz+OeaYt5ctyfQ4SileknIJII+kzAcpl6Nc89G6l31FNcUBzqiXnXrWU5mpCVxzxsbKSipDXQ4yg/Kapv4eOsB7SUWQjQR+MOc28lstvrdnyjtBC3C7DYeXTwFR5iNm/6xlkbXiVPiUbB5byXn/2EV1/0ll9+8t1WTQYjQROAPiSMYc9Kl2Ixh+/41gY6m1w1NjOKBRZPZtKeK37yrS1yeKP69YR+L/vwFbo/hgslDeXLFTn63dJsmgxCgicBPIufdwSiXi+07Pwx0KH7xrfGD+P7sNP7yeSHLNu8PdDjqOHg8hoeWbePHf1/LSUPieOum2Ty6OJvvnjySJz7N54H3NRmc6MICHcAJK2kUmdFD2Vy7B6r3W+MMTjB3LRxHTmEZP311AxOGJTAssZdHbCu/q2l0cdvL6/lgywG+M304v7woi4gwa+W+X16YhcfAn5bnY7cJt38r0z+DMVXAaYnAjzJHn02xI4w67xxEJ5qIMDt/vGIqbo/hln+sw+X2BDokdRSKSmu55E+f8fHWg9x7/nh+d+mk1iQA1viR+y7KYvGMEfzh4zwe+bD/j5RXndNE4EfOoScDsGPT36H6QICj8Y+0lBjuuziL3KJyHv7wxGoYP5F9llfCBX/8jANVjTx/3Uy+Pzu907t9m0349cUTuWzacB79aAePajI4Ifk1EYjIAhHZJiJ5InJXJ/u/KyIbvI/PRWSyP+Ppa5kDvIvU2AU+fyzA0fjPhdnDuHz6CP60PJ9VO0oCHY7qhjGG5z4r4JpnVzMoPoK3bpzN7IyUbt9jswm/u3QSl04dzsMfbuePH2syONH4LRGIiB1rHeKFwHjgChEZ3+GwAuA0Y8wk4JfAk/6KJxCGxgwlxhHD9iEnQc4zUHMo0CH5zS8umEBGaiy3vryeQ9W6xGUwanS5ufO1DfzP21s4c9xAXv/P2YxKjvHpvTabcP+iSVwyZRgPLtvO45/k+Tla1Zf8WSKYCeQZY3YaY5qAl4AL2x5gjPncGFPuffklMNyP8fQ5ESEzKZPtcQPA3Qhf/CHQIflNVLidP145leqGZm5/Zb0ucRlkDlY3cMWTX/JKbjE3nZnB/101jdiIo+srYrcJD1w2mYuyh/LA+9t44tN8P0Wr+po/E8EwYHeb18XebV35AfBeZztE5AYRyRWR3EOH+tdddWZSJjtqdmMmXAKrn4ba0kCH5DdjB8dx7/kTWLmjhCdW6EUiWGworuDCP37GN/uqefzKqfzX2WOxHeNUK3ab8OBlk7lg8lB++95WntR/5xOCPxNBZ39pnd4misgZWIngzs72G2OeNMZMN8ZMT01N7cUQ/S8zKZPqpmoOzLwOmuvgiz8GOiS/umLmCM6bNISHlm1nTVFZoMMJef9av4fLnvgCmwiv/sepnDdpyHGfM8xu4/ffmcy3Jw3h1+9u5emVuq51f+fPRFAMjGjzejiwt+NBIjIJeBq40Bhzwt0uO5OsRWq229ww4WJY/STUnbgXSBHhN5dMZFhiFDf/Yz0VdU2BDikkuT2G3763lVteWs/k4Yn868bZTBia0GvnD7PbeOTybM6bOIRf/fsbnl1V0GvnVp1wNcHH98Hu1X45vT8TQQ7gFJF0EQkHFgNvtT1AREYCrwNXG2NOyL6HGYkZgHfOoXk/haYa+OLxAEflX/GRDv5wxRQOVjdwx6sbdFRqH6tqaOb6v+bwxKf5XHnySP52/cmkxEb0+ueE2W08sjibhVmD+d93tvCXzzQZ+MXe9fDk6bDiftixzC8f4bdEYIxxATcC7wPfAK8YYzaLyBIRWeI97P8BycCfRGS9iOT6K55AiQuPY1jsMGttgkHjYfyFsOphePkqyPsQPCfmIKzJIxK5c8E4lm05wPNfFAU6nJCx81ANFz3+GSt3lPDLi7L49cUTCQ/z3/2ew27jsSumcM6EQfzi7S08/0Wh3z4r5Lia4JNfw9Pzoa4ErngJzvxvv3yUX6eYMMa8C7zbYdsTbZ5fD1zvzxiCgTPJeXgW0m8/AomjYP2L8M3bkDgSpl4DU64+4aah+MGcdD7PL+W+f3/DtFFJjB0STVFlEXmVeeSV55FfkU9eRR6xjliyUrJaH2nxadht9p4/QLWzfNtBbvrHOhx2G3+7/mROGZ3cJ5/rsNv4wxVT+fHf1/L//rUZmwhXnTKqTz77hLVvA7z5n3BgI0y6HBb8FqL9tMwuIP2t2D59+nSTm9u/Cg5/WPcHntn4DKu/u5pwe7i10dUIW/8Na56DghUgdhi7EKZ9H8acAf34Quj2uCmuKSavIo+NB7fxl5wvIXw/En4Il8da5tImNkbGjWR0wmiqmqrYUrqFOlcdANFh0UxImUBWcpb1MyWLoTFDdZ6bLhhjeGrlTn773lYyB8Xx1DXTGTEgus/jaHJ5+M8X1/DhNwf59cUTufLkkX0eQ7/nboaVD8GKByA62bpxHHdur5xaRNYYY6Z3tk8nnesDziQnbuNmZ+VOxg0YZ20Mi4CsS6xHaT6s/SusexG2vgMJLaWEqyD++Ht5+Isxhn21+8iryLMe5dbPnZU7aXQfHlSWMmAI+0sSyIiYxg1zZuFMcpKekE6E/XC9tdvjprCqkI0lG9lUsonNJZv52zd/o9ljreswIHIAE5IntJYaJiRPIDmqb+54g1lDs5ufvb6RN9btYWHWYB76zmSiwwPz3zo8zMbj353Kf/xtLXe/sRGbwOKZmgx8tn8jvPkf1s+J34GFv/NrKaAtLRH0gZ2VO7nwzQu5b859XDDmgq4PdDXBtn/Dmr/AzuVWKSFzAUy7FjLmB6yUYIyhpL6EHRU7rCqdyvzWi37LXTzAwOiBZCRmtHuMSRxDtCOaRz/cwcMfbufByyazaJpv4wab3E3sKN/BppJNbCzZyObSzeRX5GO8vZCHxAw5XKWUnMX45PHEhsf65TsIRvsrG/jRC7l8XVzJ7d/K5MYzMo55fEBvamh286MX1rBixyF+d8kkvjNjRM9vCmXuZlj5e6sxOGoAfPthOOnbvf4x3ZUINBH0AZfHxSl/P4XFYxfzkxk/8e1NZTth7fOw7m9Qewjihx8uJSR0Ny7v+JQ3lB9xh59XkUdVU1XrMQMiB7Re5DMSM3AmORmdMJqEiK67J7o9hu8+/SVf767k7ZvmkDHw2C7Ydc11bCndwubSza2lhz011vrJgpCWkEZW8uH2hrEDxrYreZwo1u0q50cvrKG20cXvL8/mnAnB1b7U0Ozmh8/nsiqvhAcW+Z78Q87+Td5SwAbIWgTnPuC3UoAmgiBw+TuXkxCewJNnH+V0Sq4m2P6eVUrI/xjEBs5zrFKC81vHXEpocDWwtWzr4Yu+98Jf2nB4KEdceFy7O3tnopMxiWOOuUrmQFUDCx9dycC4CN788WwiHb1TwilvKGdz6ebWKqWNJRtbf48wWxjORCdZKVlMTJnIhJQJjEkY068bo19dU8zdr29kUEIET18zg7GD4wIdUqfaJoOHLpvMJVM1GbRyN1u9Bz+9H6ISvaWA8/36kZoIgsDPP/s5K4tXsvzy5cd+krKCNqWEgxA/rE0poef/ZE3uJj7b8xnvFb7H8t3LqXfVAxAVFtXuDr/lMTB6YK830H6y7SDffy6Hq04Zya8umtir525hjOFA3QE2lWyyHqVWgqhprgGs3/ekAScxIWUCE1MmkpWcxfC44UHfGO1ye/jNe1t5ZlUBs8Yk8/iVU0mKCQ90WN2qb3Jz/fM5fJ5fysPfyeaiKf4rzfYbB7bAm0tg39eQdSksfABi/N/epYkgCLyw5QXuz7mf5d9ZfvyNnO5m2Na2lCDgPNvblvAtsB9uLGz2NPPVvq9YWrCUj3d9THVzNYkRiXxr1LeYO2wuziQnQ2OHYpO+W5ri1+9+w5MrdvLn705l4cS+aQz3GA9FVUVWqcFbethatrW1UTshIoHzR5/PdVnXkRodfNOYVNY1c+M/1rJyRwnXzkrjnvNOwmHvH8uJ1De5ue4vOXxVUMrDl2dzYXaIJgO3Cz57GJb/DiIT4Nu/t8YV9RFNBEHgy31f8sNlP+Sps5/ilCGn9N6Jywth7Quw7gWoOQBxQ3FP+S5rRmSztGQtHxR9QEVjBbGOWOaPnM+C9AWcPORkHDZH78VwlJpcHi77vy/YeaiGd2+eG5CujmAlybzyPDaVbiJnXw7LipYRZgvjsszLgioh5B2s5vq/5rKnop5fXZTF5TP6X0+cuiYX338uh5zCMh5dPIXzJw8NdEh96+A3VlvA3nXWVDPnPggx3a8D0ds0EQSBsoYyTnv5NH46/adcM+GaXj+/x9XIhrVPs3TrS7zfXEpJmJ0ohNOTJ7Ew61pmj5h3eAxDENhdVse5j61kTGos/1xyalDc3e6u2s2TG5/k7fy3CbOFsShzEddlXcfA6IEBi+mjbw5wy0vriXTYeOKqaUxP65vuhP5Q1+Ti2mdzWLOrnMcWT+mVCfCCntsFnz8Ky38LEXFw3u9hwkUBCUUTQZA445UzmD10Nr+a86teOZ8xhi1lW1hasJT3C99nX+0+wm3hzBs0nQVNMG/rcqJq9kPcEKsdYeo11kjmIPHuxn3854trGZMaw7gh8YxOiSE9JYa0lBhGp8SQGB2YxLW7ajdPbXyKt/Lfwi721oQwKGZQn8VgjOFPy/N5cNk2JgyN58mrpzM0MarPPt9fahtdXPvcatbuquCPV0zps6rBgDi41VsKWAvjL4LzHurzUkBbmgiCxI8++BHlDeW8cv4rx3WeHeU7eK/gPd4vfJ9d1bsIs4Uxa+gsFqQt4IwRZxzuS+92wY73rbaEHR9Y2zLOstoSMs8Be+Cqh1r87csiPvrmAAUltewur8fdZkGbpGgHad7kYCWJWNJSoklPiemTQVO7q3fz9ManeSvvLWxi49LMS/lB1g/8nhDqm9zc8doG3v56L+dPHsr9l04iKrz/9nLqqKbRxfeeXc3Xuyv445VTWZAVXF1fj5vbZS1C9cmvrVLAuQ9aA0cDTBNBkHgo9yH+sfUffHnll4TZju5CVlhZyNLCpSwtWEp+ZT42sTFz8EwWpi9k/sj53fbhB6Bil9XbaO0LUL0XYgdbf5yjZsHIUwN6p9KiyeVhd3kdhSW1FJTUsrOkloJDtRSW1rKvsqHdsYPjI71JIZbR3lJEekoMIwdE9/oka8XVxTy98Wn+lfcvRIRLnZfyg4k/YHBM71/A9lTUc8PzuWzZV8VPzxnLf5w2Juh7Mx2L6oZmrnl2NRuLK/nTd6dydpCNgzhmh7ZZpYA9a+CkC6yqoNjgaGvSRBAk3s5/m7tX3c2/LvoXoxNG93j8npo9vF/4PksLlvJN2TcIwtRBU1mQtoCzRp1FStQxXLzdLsj7wNvj6BNrCU2AlEwrIbQkhsSRVm+kIFHX5KKwpI6CEisx7DxUS0FJDYWldZTVHl7zwCYwYkA0acnekkRqTOvzoYlR2I9j5O2emj08teGp1oRwifMSrp94facJocnlobqhmZpGF9UN1sN63nFbs/WzwUV1o4tt+6txewyPLs5m/kl9VxUVCFUNzVz9zGq27K3kz9+dxlnj+/Hv63HD595SQHgMnPcgTLgkqP4PaSIIElvLtnLZ25fxwGkPsCBtQafHHKg9wLKiZSwtXMqGQxsAmJQyiXPSzuHstLN79y7U1Qh71sKuL7yPr6Cx0toXP8ybGE6FkbMgdRzYAt+g25mKuiYKvKWIwpaShPdR1+RuPS48zEZasjdJpFrVTS3PU2MjEBFcbk/rhfrwz+Z2F/N9NXtYW/U6RU3LASHJPYeourNoqI+nptFFVYOLJlfP04s77EJcpIPYiDDiIsOIjQgjJS6C285ykjEwOAeJ9bbK+maueeYrtuyr4v+unsaZ4/phMji03VsKyLUGhZ33e4gNXAeDrmgiCBJN7iZmvjiT67Ku4+apN7duL2so44PCD1hauJQ1B9ZgMIwbMI4FaQs4J+0chsf10YhMjxsOboGiL2DX59bPmv3WvshEGHnK4VLDkGwIC55eSJ0xxnCourE1MbRNEkWltTS7D//tR4fbMQbqm93dnNFiE4iLdBAdXYUn4SPqwr9AgCH20zgp+iIGRQ8mLiLMe4F3EBtpXejjIg4/j40I67WR1f1dZX0zVz39Fdv2V/N/10zjjLHBdxHtlMdtLT378X0QHu1tC7i0y1KA22NoaHZbD5eHxmY3Dc0eGlzWtsY22xpd3n0dXs8ak3zMJSdNBEHk4n9dzPDY4fxqzq/4eNfHvFfwHqv3r8Zt3KQnpLMwfSEL0haQnpAe6FDBGCgvgF1fQtHnVqmhNM/aFxYFw6cfLjUMn2E1jPUTbo9hb0W9tx2ihqKyOuwiHS7cYd7n1l17fKT1Osphb1dvv69mH09vfJrX814H4OKMi7l+4vUMjQ2xvvLHobKume8+8yXbD9Tw1DXTOc2ZAjUHrRX9YgdBRN9NJuj2GEprGzlUffhR3eCiweWm0Xvhjq0u4ILC+xhVt4n1MbN5LulmDnoSD1/Avce2vaC7PMd+rQ2zCZEOOz+Yk85t38o8pnNoIggid6y4g4+KPsKDB5fHxfDY4SxMX8g5aeeQmZQZ/A2DNQethNBSati/EYzHmil18MTDbQwjTw2aRrK+sq9mH89seobXd7yOwXBRxkX8cOIPNSF0pbkBKoqsQZHlhTQczGfdhvUkN+1hTFgpdnf94WMdMRA3yEoKsYOsRZxiB1qdHmIHHd4XndJpFaYxhqp6F4dqGjjY5gJ/qObw85KaJg5VN1JW20hX12wbHm5wLOVW+8s0EsGj4T9kZcTpRIaHEemwEemwExFmI8JhJzLMToTDRmSYvd2+SIf1OsK7vbNjrW2H3xPmHWdjjDnma0TAEoGILAAeBezA08aY33bYPw54DpgK3GOMebCnc/b3RLC0YCl/+vpPzBs2j4XpCxmfPD74L/7daaiC4tXexPClVU/q8vbwSXYebmMYdaq1Mlt//l19tL92v1VC2PE6xhguzLiQH076IcNiQ2xqBWOsmXO9F3rKCg4/Ly+0eq+15YjGnTCK1ZXxbG1MZt7MGYwZPtgaMV9zEKr3Wz9rvD8bq474SI/YqQtLojJsACUkcdCTwB5XAkVNsex1J3DIJHKQRA6ZRBoJJ9xuIzUugpS4CFJjI0iNa/OIDff+jCQ+KoyoqgLC37kJKf4Kxp5nTRQX5782jSZ3E9vLt7Ph0IbWqdgvyriIH0z8wTGdLyCJQETswHbgW0Ax1mL2VxhjtrQ5ZiAwCrgIKA+FRHDCczVai223tDHs/hIavA3QcUO9icH7GDje9wZoY8DdBE210FwPzXXWo6nu8POW7R239fSeploreYXHWPPBRydbUwFHD2j/ut2+ZKvdxN51N+D9tft5ZuMzvLbjtdaEcP3E6/uuzacvNDdYXZPbXuDLC60qxfJC6ztuK24oJKW1fwxIt37GpIIIZbVNXPnUlxSW1nLv+ROwCZ3ewddUVxLdXEYqFQyUClKl5Wclw8MqGWSrIsWUE++pwMaRjfcmIh7iBiOxbUsaHUsdg6x5gb56Aj76XwiLhIX3w6Tv9OpNjcd42FW1i40lG1unV99atrV1YabkyGQmpk7k/NHnc3ba2cf0GYFKBKcCvzDGnON9/TMAY8xvOjn2F0CNJoITkMdjNUC39Ewq+uLwnWBkAow4xRrD0O1Fux6aa60qqKMhduvi7ogCR7T1CI9u/7plW1iE9dl1ZVBXCvXl1s+6ssNdbDsTmXg4MUQNaPM8qTVp7LfbeHbvp7xW/DEe4+ECb0IYEdcPFmwxBmpLjrzAtzyq9gJtriFhUZ1f5JPSrC7JDt9GR5fWNHLlU1+x7UB167b4yLA2d+yRrXfwKS137t7HgOjw1qoUwGrUrS05XJKo3u8tZXgf1W2ed0xcYE39bjyQuRDOf6RX1hYvqS9hU8mm1rv9TaWbqG6yfteosCgmJHtnxvVOnz44ZvBx1xwEKhEsAhZ4F6hHRK4GTjbG3NjJsb9AE0FoMMaqF25pY9j1lXUBdkRZj04v3C2Ptvu9P9vtb3uhj7FGTh/vXZsx1sWhJSl0TBL1ZZ3v6+SCcsBu59mEeF6Nj8WNcIEngh86hjAievDhkkZkohWzMdbFp+ODtts7O6bjNtPFezs7ps3+5joo99bfN9e2/0ViB7e/wLc+0q16+166U65vcrP9QDXJseGkxEb4v5eVMVbjdPUBb9JokySGTLYmizuG361lMaVNJZvYUGJd+PfV7gPALnacSYfXy8hKyfLbehmBSgSXAed0SAQzjTE3dXLsL+gmEYjIDcANACNHjpxWVFTkl5iV6jXNDZ0kiTKoK+Ng9V6erdrMq80HcBnD+U1wQ0UVI+oqjv3zxAaI9bPTB13va31fm/eHRVh38C0X+LZ39eGBmS22P3B5XORX5LdW8Wws2Uh+RT4eb2l2WOywdnf64waMI9rRN99noBavLwbaln2HA3u7OLZbxpgngSfBKhEcf2hK+ZkjEhxDIf7IHkMDgbuAH9Qd4tlNz/LP7f/k7cgkvp3+XX6YcRkjY4chNnv7C3PHC3XH7arPGWPYW7vXqtM/ZDXmbindQoPb6iwRHx7PxJSJzB8531odL3nC8a9F4if+LBGEYTUWzwf2YDUWX2mM2dzJsb9Aq4ZUiDpUd4jnNj/HK9teodHdiMPmID48nviIeOLC46zn4e2fx0d02OY9NtYR26eLDB0LYwyN7kbqXHXUNtdS11zX+rzja5fHhcPmsB52B2EShsPuOLytZbstrN3rdvs72XYsVS+VjZWtvXdafpY1lAEQbgtnXPI4JqVMar3bHxE3Iqh6BAay++i5wCNY3UefNcbcJyJLAIwxT4jIYCAXiAc8QA0w3hhzZL8wL00E6kRVUl/Cv3f+m9KGUqoaq6huqqaqqYqqpsPPq5uqW6sZOiMIseGxhxNGdwmlzfa48DgSwhNwdDIjrTGGeld9lxfrumbvdlct9c31rc/rmuta93W86LtNzyO4/ckmtnaJoTWRdEgYYTYr8eyv3U9RlVUlLQjpCelkpWRZF/7ULDITMzv97oKJDihT6gRhjKG2ubZdcqhqrDoiYbQ+75BQGrvrAYXVYyXOEUdkWGTrxb+uuQ6Db9eJCHsEMY4YosOiiXZEW88d0USHWc+P2BfW9TExjhjCbGG4PC6aPc2tD5fHRbO7ud22Zk/zkdt6et1mW+tndHJMk7uptfvmxJSJjE8eT1x4/xlF3yJQbQRKqV4mYt3xt645cZQa3Y2tCeKI5NEmaTS4Goh2RBMVFtX5BdwRTUxYzOGLuPdCfrTTq/vCYXcE/d12f6eJQKkQEmGPICIq4timMFcnrOBuVVJKKeV3mgiUUirEaSJQSqkQp4lAKaVCnCYCpZQKcZoIlFIqxGkiUEqpEKeJQCmlQly/m2JCRA4BxzoPdQpQ0ovh9Hf6fbSn38dh+l20dyJ8H6OMMZ0uJN7vEsHxEJHcrubaCEX6fbSn38dh+l20d6J/H1o1pJRSIU4TgVJKhbhQSwRPBjqAIKPfR3v6fRym30V7J/T3EVJtBEoppY4UaiUCpZRSHWgiUEqpEBcyiUBEFojINhHJE5G7Ah1PIInICBH5RES+EZHNInJLoGMKNBGxi8g6EXkn0LEEmogkisirIrLV+zdyaqBjChQRuc37f2STiPxDRCIDHZM/hEQiEBE78DiwEBgPXCEi4wMbVUC5gP8yxpwEnAL8OMS/D4BbgG8CHUSQeBRYaowZB0wmRL8XERkG3AxMN8ZkAXZgcWCj8o+QSATATCDPGLPTGNMEvARcGOCYAsYYs88Ys9b7vBrrP/qwwEYVOCIyHDgPeDrQsQSaiMQD84BnAIwxTcaYioAGFVhhQJSIhAHRwN4Ax+MXoZIIhgG727wuJoQvfG2JSBowBfgqwKEE0iPAHYAnwHEEg9HAIeA5b1XZ0yISE+igAsEYswd4ENgF7AMqjTHLAhuVf4RKIpBOtoV8v1kRiQVeA241xlQFOp5AEJFvAweNMWsCHUuQCAOmAn82xkwBaoGQbFMTkSSsmoN0YCgQIyJXBTYq/wiVRFAMjGjzejgnaBHPVyLiwEoCLxpjXg90PAE0G7hARAqxqgzPFJG/BTakgCoGio0xLSXEV7ESQyg6CygwxhwyxjQDrwOzAhyTX4RKIsgBnCKSLiLhWA0+bwU4poAREcGqA/7GGPP7QMcTSMaYnxljhhtj0rD+Lj42xpyQd32+MMbsB3aLyFjvpvnAlgCGFEi7gFNEJNr7f2Y+J2jDeVigA+gLxhiXiNwIvI/V8v+sMWZzgMMKpNnA1cBGEVnv3Xa3MebdwIWkgshNwIvem6adwPcDHE9AGGO+EpFXgbVYPe3WcYJONaFTTCilVIgLlaohpZRSXdBEoJRSIU4TgVJKhThNBEopFeI0ESilVIjTRKBUHxKR03WGUxVsNBEopVSI00SgVCdE5CoRWS0i60Xk/7zrFdSIyEMislZEPhKRVO+x2SLypYhsEJE3vHPUICIZIvKhiHztfc8Y7+lj28z3/6J31KpSAaOJQKkOROQk4HJgtjEmG3AD3wVigLXGmKnAp8C93rc8D9xpjJkEbGyz/UXgcWPMZKw5avZ5t08BbsVaG2M01khvpQImJKaYUOoozQemATnem/Uo4CDWNNUve4/5G/C6iCQAicaYT73b/wr8U0TigGHGmDcAjDENAN7zrTbGFHtfrwfSgFV+/62U6oImAqWOJMBfjTE/a7dR5Ocdjutufpbuqnsa2zx3o/8PVYBp1ZBSR/oIWCQiAwFEZICIjML6/7LIe8yVwCpjTCVQLiJzvduvBj71ru9QLCIXec8RISLRfflLKOUrvRNRqgNjzBYR+W9gmYjYgGbgx1iLtEwQkTVAJVY7AsD3gCe8F/q2s3VeDfyfiPyv9xyX9eGvoZTPdPZRpXwkIjXGmNhAx6FUb9OqIaWUCnFaIlBKqRCnJQKllApxmgiUUirEaSJQSqkQp4lAKaVCnCYCpZQKcf8fFtv1jfMpfRAAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T04:22:36.093962Z", + "start_time": "2021-01-24T04:22:36.091379Z" + }, + "tags": [ + "remove_cell" + ], + "id": "W3FqOyoGVTKS" + }, + "source": [ + "set_seed(42)" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T04:22:36.102503Z", + "start_time": "2021-01-24T04:22:36.095191Z" + }, + "id": "zE6jpww0VTKS" + }, + "source": [ + "class Class2Detect(Dataset):\n", + " \"\"\"This class is used to create a simple converstion of a dataset from a classification problem, to a detection problem. \"\"\"\n", + "\n", + " def __init__(self, dataset, toSample=3, canvas_size=100):\n", + " \"\"\"\n", + " dataset: the source dataset to sample items from as the \"objects\" to detect\n", + " toSample: the maximum number of \"objects\" to put into any image\n", + " canvas_size: the width and height of the images to place objects inside of. \n", + " \"\"\"\n", + " self.dataset = dataset\n", + " self.toSample = toSample\n", + " self.canvas_size = canvas_size\n", + "\n", + " def __len__(self):\n", + " return len(self.dataset)\n", + "\n", + " def __getitem__(self, idx):\n", + " \n", + " boxes = []\n", + " labels = []\n", + " \n", + " final_size = self.canvas_size\n", + " #First, create a larger image that will store all the \"objects\" to detect\n", + " img_p = torch.zeros((final_size,final_size), dtype=torch.float32)\n", + " #Now we are going to sample up to self.toSample objects to place into the image\n", + " for _ in range(np.random.randint(1,self.toSample+1)):\n", + " \n", + " #Pick an object at random from the original dataset, and its label\n", + " img, label = self.dataset[np.random.randint(0,len(self.dataset))]\n", + " #Get the height and width of that image\n", + " _, img_h, img_w = img.shape\n", + " #Pick a random offset of the x and y axis, essentially placing the image at a random location\n", + " offsets = np.random.randint(0,final_size-np.max(img.shape),size=(4))\n", + " #Change the padding at the end to make sure we come out to a specific 100,100 shape\n", + " offsets[1] = final_size - img.shape[1] - offsets[0]\n", + " offsets[3] = final_size - img.shape[2] - offsets[2]\n", + " \n", + " with torch.no_grad():\n", + " img_p = img_p + F.pad(img, tuple(offsets))\n", + " #Lets craete the values for the \"boxes\"\n", + " #all of these are in absolute pixel locations\n", + " \n", + " #x_min determined by the randomly selected offset\n", + " xmin = offsets[0]\n", + " #x_max is the offset plus the image's width\n", + " xmax = offsets[0]+img_w\n", + " #y min/max follows the same pattern\n", + " ymin = offsets[2]\n", + " ymax = offsets[2]+img_h\n", + " #now we add to the box with the right label\n", + " boxes.append( [xmin, ymin, xmax, ymax] )\n", + " labels.append( label )\n", + "\n", + " \n", + " target = {}\n", + " target[\"boxes\"] = torch.as_tensor(boxes, dtype=torch.float32)\n", + " target[\"labels\"] = torch.as_tensor(labels, dtype=torch.int64)\n", + " \n", + " return img_p, target\n", + "#Caption: This class defines a toy MNIST detector. Images from the MNIST dataset are placed at random locations in an image. The object detector will try to learn to predict where digits are, and what digit is at each location. " + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T04:22:36.119252Z", + "start_time": "2021-01-24T04:22:36.103717Z" + }, + "id": "kmeLlN0rVTKT" + }, + "source": [ + "train_data = Class2Detect(torchvision.datasets.MNIST(\"./\", train=True, transform=transforms.ToTensor(), download=True))\n", + "test_data = Class2Detect(torchvision.datasets.MNIST(\"./\", train=False, transform=transforms.ToTensor(), download=True))\n", + "\n", + "def collate_fn(batch):\n", + " \"\"\"\n", + " batch is going to contain a python list of objects. In our case, our data loader returns (Tensor, Dict) pairs\n", + " The FasterRCNN algorithm wants a List[Tensors] and a List[Dict]. So we will use this function to convert the \n", + " batch of data into the form we want, and then give it to the Dataloader to use\n", + " \"\"\"\n", + " imgs = []\n", + " labels = []\n", + " for img, label in batch:\n", + " imgs.append(img)\n", + " labels.append(label)\n", + " return imgs, labels\n", + "\n", + "train_loader = DataLoader(train_data, batch_size=128, shuffle=True, collate_fn=collate_fn)" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T04:22:36.282902Z", + "start_time": "2021-01-24T04:22:36.120630Z" + }, + "scrolled": true, + "id": "iXNz0El5VTKT", + "outputId": "f4011999-da52-4608-cf41-e69aff88ca18" + }, + "source": [ + "x, y = train_data[0] # Grab an image with its labels\n", + "imshow(x.numpy()[0,:])" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 24 + }, + { + "output_type": "display_data", + "data": { + "application/pdf": "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\n", + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T04:22:36.295660Z", + "start_time": "2021-01-24T04:22:36.284101Z" + }, + "id": "2WunWjWSVTKT", + "outputId": "a0ecc0bf-e87b-4585-ff72-42afcafd7ddf" + }, + "source": [ + "print(y) #prints out everything\n", + "print(\"Boxes: \", y['boxes']) #prints a tensor showing the pixel locations of the corners for all 3 objects\n", + "print(\"Labels: \", y['labels']) #prints a tensor showing the labels for all 3 objects" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + "{'boxes': tensor([[14., 60., 42., 88.],\n", + " [23., 21., 51., 49.],\n", + " [29., 1., 57., 29.]]), 'labels': tensor([0, 1, 8])}\n", + "Boxes: tensor([[14., 60., 42., 88.],\n", + " [23., 21., 51., 49.],\n", + " [29., 1., 57., 29.]])\n", + "Labels: tensor([0, 1, 8])\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T04:22:36.298704Z", + "start_time": "2021-01-24T04:22:36.296774Z" + }, + "id": "aA1I4fU8VTKT" + }, + "source": [ + "#How many channels are in the input?\n", + "C = 1\n", + "#How many classes are there?\n", + "classes = 10\n", + "#How many filters in our backbone\n", + "n_filters = 32" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T04:22:36.309293Z", + "start_time": "2021-01-24T04:22:36.299875Z" + }, + "id": "qcmEiPavVTKT" + }, + "source": [ + "backbone = nn.Sequential(\n", + " cnnLayer(C, n_filters), \n", + " cnnLayer(n_filters, n_filters),\n", + " cnnLayer(n_filters, n_filters),\n", + " nn.MaxPool2d((2,2)),\n", + " cnnLayer(n_filters, 2*n_filters),\n", + " cnnLayer(2*n_filters, 2*n_filters),\n", + " cnnLayer(2*n_filters, 2*n_filters),\n", + " nn.MaxPool2d((2,2)),\n", + " cnnLayer(2*n_filters, 4*n_filters),\n", + " cnnLayer(4*n_filters, 4*n_filters),\n", + ")\n", + "#Let Faster RCNN know exactly how many output channels to expect\n", + "backbone.out_channels = n_filters*4" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T04:22:36.356075Z", + "start_time": "2021-01-24T04:22:36.310620Z" + }, + "id": "h7GS7_46VTKU" + }, + "source": [ + "# How many proposals $k$ should be generated? Every aspect ration will be one, and the process will be repeated for multiple image sizes \n", + "anchor_generator = AnchorGenerator(sizes=((32),), aspect_ratios=((1.0),)) #To make this run faster, we are telling PyTorch to look for only square images that are 32 x 32 in size\n", + "\n", + "#Tell PyTorch to use the final output of the backbone as the featuremap (['0']), use adaptive pooling down to a 7x7 grid (output_size=7)\n", + "roi_pooler = torchvision.ops.MultiScaleRoIAlign(featmap_names=['0'], output_size=7, sampling_ratio=2)\n", + "#sampling_ratio is poorly named, and controls details on how the RoI grabs slices of the feature map when a fractional pixel location is predicted (e.g., 5.8 instead of 6). We are not going to go into those low level details, 2 is a reasonable default for most work. \n", + " \n", + "#Now we can create the FasterRCNN object. We give it the backbone network, number of classes, min & max size to process images at (we know all our images at 100 pixels), a mean and standard deviation to subtract from the images, and the anchor generation (RPN) and RoI objects\n", + "model = FasterRCNN(backbone, num_classes=10, image_mean = [0.5], image_std = [0.229], min_size=100, max_size=100, rpn_anchor_generator=anchor_generator, box_roi_pool=roi_pooler)" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.225943Z", + "start_time": "2021-01-24T04:22:36.357477Z" + }, + "tags": [ + "remove_output" + ], + "id": "_KaVxHVvVTKU", + "outputId": "21d06e41-70ae-4c0c-9d8c-85a35adc126c", + "colab": { + "referenced_widgets": [ + "903407445acf4704a69cbce9c0978160", + "" + ] + } + }, + "source": [ + "model = model.train()\n", + "model.to(device)\n", + "optimizer = torch.optim.AdamW(model.parameters())\n", + "\n", + "for epoch in tqdm(range(1), desc=\"Epoch\", disable=False):\n", + " running_loss = 0.0\n", + " for inputs, labels in tqdm(train_loader, desc=\"Train Batch\", leave=False, disable=False):\n", + " #Move the batch to the device we are using. \n", + " inputs = moveTo(inputs, device)\n", + " labels = moveTo(labels, device)\n", + "\n", + " optimizer.zero_grad()\n", + " #rcnn wants model(inputs, labels) - not just model(inputs)\n", + " losses = model(inputs, labels)\n", + " # Compute loss, RCNN gives us a list of losses to add up.\n", + " loss = 0\n", + " for partial_loss in losses.values():\n", + " loss += partial_loss\n", + " #now proceed like normal\n", + " loss.backward()\n", + " \n", + " optimizer.step()\n", + "\n", + " running_loss += loss.item()" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "903407445acf4704a69cbce9c0978160", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=1.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value='Train Batch'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.231339Z", + "start_time": "2021-01-24T10:12:05.227112Z" + }, + "id": "Mp7RpsYcVTKU" + }, + "source": [ + "model = model.eval()\n", + "model = model.to(device)" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.235511Z", + "start_time": "2021-01-24T10:12:05.232421Z" + }, + "tags": [ + "remove_cell" + ], + "id": "KOx07b9kVTKU" + }, + "source": [ + "set_seed(161)" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.242016Z", + "start_time": "2021-01-24T10:12:05.236657Z" + }, + "id": "ZWNjUQr4VTKU", + "outputId": "25049425-a99a-4ed2-981b-da61b89d2b7c" + }, + "source": [ + "x, y = test_data[0]\n", + "print(y) #this is the ideal truth we want to get back" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + "{'boxes': tensor([[31., 65., 59., 93.],\n", + " [10., 36., 38., 64.],\n", + " [64., 24., 92., 52.]]), 'labels': tensor([8, 0, 4])}\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.308350Z", + "start_time": "2021-01-24T10:12:05.243347Z" + }, + "id": "GIiO9DD2VTKU" + }, + "source": [ + "with torch.no_grad():\n", + " pred = model([x.to(device)])" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.314139Z", + "start_time": "2021-01-24T10:12:05.309841Z" + }, + "id": "WrD8Wd_3VTKU", + "outputId": "03f1dc8d-01a5-4d1b-8c32-81ba2e036fc3" + }, + "source": [ + "print(pred)" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + "[{'boxes': tensor([[64.6030, 24.0820, 92.9474, 52.3093],\n", + " [32.1779, 65.4503, 60.1157, 93.2809],\n", + " [31.1220, 64.8652, 59.5061, 92.9957],\n", + " [31.8287, 65.2230, 59.4938, 93.1464],\n", + " [65.9727, 24.9435, 93.9999, 52.7613]]), 'labels': tensor([4, 8, 9, 5, 7]), 'scores': tensor([0.9833, 0.9764, 0.0921, 0.0752, 0.0543])}]\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.317257Z", + "start_time": "2021-01-24T10:12:05.315383Z" + }, + "id": "fvo8m9BBVTKV" + }, + "source": [ + "import matplotlib.patches as patches" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.324206Z", + "start_time": "2021-01-24T10:12:05.318468Z" + }, + "id": "2DUW3cZ1VTKV" + }, + "source": [ + "def plotDetection(ax, abs_pos, label=None):\n", + " \"\"\"\n", + " ax: the matpllib axis to add this plot to\n", + " abs_pos: the positions of the bounding box\n", + " label: the label of the prediction to add\n", + " \"\"\"\n", + " x1, y1, x2, y2 = abs_pos\n", + " #make a rectangle for the bounding box\n", + " rect = patches.Rectangle((x1,y1),x2-x1,y2-y1,linewidth=1,edgecolor='r',facecolor='none')\n", + " ax.add_patch(rect)\n", + " #add the label if given\n", + " if label is not None:\n", + " plt.text(x1+0.5, y1, label, color='black', bbox=dict(facecolor='white', edgecolor='white', pad=1.0))\n", + " \n", + " return \n", + "\n", + "def showPreds(img, pred):\n", + " \"\"\"\n", + " img: the image to show the bounding box predictions for\n", + " pred: the Faster R-CNN predictions to show ontop of the image\n", + " \"\"\"\n", + " fig,ax = plt.subplots(1)\n", + " #plot the image\n", + " ax.imshow(img.cpu().numpy()[0,:])\n", + " #grab the predictions\n", + " boxes = pred['boxes'].cpu()\n", + " labels = pred['labels'].cpu()\n", + " scores = pred['scores'].cpu()\n", + " \n", + " num_preds = labels.shape[0]\n", + " #for each prediction, plot if if it has a high enough score\n", + " for i in range(num_preds):\n", + " plotDetection(ax, boxes[i].cpu().numpy(), label=str(labels[i].item()))\n", + " \n", + " plt.show()" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.523668Z", + "start_time": "2021-01-24T10:12:05.325785Z" + }, + "id": "46eFGJiyVTKV", + "outputId": "badcc45d-a75b-40f6-f386-ff242079d8c1" + }, + "source": [ + "showPreds(x, pred[0])" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/pdf": "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\n", + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.527436Z", + "start_time": "2021-01-24T10:12:05.524971Z" + }, + "id": "_ArjBMNfVTKV" + }, + "source": [ + "from torchvision.ops import nms" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.536851Z", + "start_time": "2021-01-24T10:12:05.530211Z" + }, + "id": "dsbbdL9_VTKV", + "outputId": "3457355b-5b21-4dfb-cd6d-412a8cdad2f5" + }, + "source": [ + "print(pred[0]['boxes'])" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + "tensor([[64.6030, 24.0820, 92.9474, 52.3093],\n", + " [32.1779, 65.4503, 60.1157, 93.2809],\n", + " [31.1220, 64.8652, 59.5061, 92.9957],\n", + " [31.8287, 65.2230, 59.4938, 93.1464],\n", + " [65.9727, 24.9435, 93.9999, 52.7613]])\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.541881Z", + "start_time": "2021-01-24T10:12:05.538374Z" + }, + "id": "LZ3weZF3VTKV", + "outputId": "7b2ccc63-36cc-4984-cfb7-2591f1d341f6" + }, + "source": [ + "print(pred[0]['scores'])" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + "tensor([0.9833, 0.9764, 0.0921, 0.0752, 0.0543])\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.546835Z", + "start_time": "2021-01-24T10:12:05.543258Z" + }, + "id": "3kW09sSqVTKV", + "outputId": "cc2552d5-c215-44f5-d9ee-4e3b3914b190" + }, + "source": [ + "print(nms(pred[0]['boxes'], pred[0]['scores'], 0.5))" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + "tensor([0, 1])\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.553725Z", + "start_time": "2021-01-24T10:12:05.548228Z" + }, + "id": "R6AHsn-cVTKW" + }, + "source": [ + "def showPreds(img, pred, iou_max_overlap=0.5, min_score=0.05, label_names=None):\n", + " \"\"\"\n", + " img: the original image object detection was performed on\n", + " pred: the output dictionary from FasterRCNN for evaluation on img\n", + " iou_max_overlap: the iou threshold at which non-maximum suppression will be performed\n", + " min_score: the minimum RPN network score to consider an object\n", + " \"\"\"\n", + " fig,ax = plt.subplots(1)\n", + " img = img.cpu().numpy()\n", + " if img.shape[0] == 1:\n", + " ax.imshow(img[0,:])\n", + " else:\n", + " ax.imshow(np.moveaxis(img, 0, 2))\n", + " boxes = pred['boxes'].cpu()\n", + " labels = pred['labels'].cpu()\n", + " scores = pred['scores'].cpu()\n", + " \n", + " selected = nms(boxes, scores, iou_max_overlap).cpu().numpy()\n", + " \n", + " for i in selected:\n", + " if scores[i].item() > min_score:\n", + " if label_names is None:\n", + " label = str(labels[i].item())\n", + " else:\n", + " label = label_names[labels[i].item()]\n", + " plotDetection(ax, boxes[i].cpu().numpy(), label=label)\n", + " \n", + " plt.show()" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:05.736166Z", + "start_time": "2021-01-24T10:12:05.555114Z" + }, + "id": "ChG4ESJzVTKW", + "outputId": "6f98c737-6aca-41d5-9041-3e291a25496b" + }, + "source": [ + "showPreds(x, pred[0])" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/pdf": "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\n", + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:06.253761Z", + "start_time": "2021-01-24T10:12:05.739959Z" + }, + "tags": [ + "remove_output" + ], + "id": "7-3gbQeVVTKW" + }, + "source": [ + "rcnn = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)\n", + "# This RCNN detector is pre setup for a specific set of classes. You can re-use it for your own problems by setting num_classes=10 and pretrained_backbone=True, and then training it with your own data like we did before with MNIST. " + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:06.259454Z", + "start_time": "2021-01-24T10:12:06.255351Z" + }, + "id": "XHPNXMSKVTKW" + }, + "source": [ + "rcnn = rcnn.eval()" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:06.265618Z", + "start_time": "2021-01-24T10:12:06.260574Z" + }, + "id": "FuViB307VTKW" + }, + "source": [ + "# COCO_INSTANCE_CATEGORY_NAMES, these come from the PyTorch documentation. https://pytorch.org/docs/stable/torchvision/models.html#object-detection-instance-segmentation-and-person-keypoint-detection\n", + "NAME = [\n", + " '__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus',\n", + " 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'N/A', 'stop sign',\n", + " 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',\n", + " 'elephant', 'bear', 'zebra', 'giraffe', 'N/A', 'backpack', 'umbrella', 'N/A', 'N/A',\n", + " 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball',\n", + " 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket',\n", + " 'bottle', 'N/A', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl',\n", + " 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza',\n", + " 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'N/A', 'dining table',\n", + " 'N/A', 'N/A', 'toilet', 'N/A', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone',\n", + " 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'N/A', 'book',\n", + " 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'\n", + "]\n" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:06.734109Z", + "start_time": "2021-01-24T10:12:06.266700Z" + }, + "id": "k8anmbMyVTKW" + }, + "source": [ + "from PIL import Image\n", + "import requests\n", + "from io import BytesIO\n", + "\n", + "urls = [\n", + " \"https://hips.hearstapps.com/hmg-prod.s3.amazonaws.com/images/10best-cars-group-cropped-1542126037.jpg\",\n", + " \"https://miro.medium.com/max/5686/1*ZqJFvYiS5GmLajfUfyzFQA.jpeg\",\n", + " \"https://www.denverpost.com/wp-content/uploads/2018/03/virginia_umbc_001.jpg?w=910\"\n", + "]\n", + "\n", + "response = requests.get(urls[0])\n", + "img = Image.open(BytesIO(response.content))" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:08.757138Z", + "start_time": "2021-01-24T10:12:06.736855Z" + }, + "id": "vIw80lDjVTKW" + }, + "source": [ + "img = np.asarray(img)/256.0\n", + "img = torch.tensor(img, dtype=torch.float32).permute((2,0,1))\n", + "\n", + "with torch.no_grad():\n", + " pred = rcnn([img]) # Pass the image to the model" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2021-01-24T10:12:10.676341Z", + "start_time": "2021-01-24T10:12:08.758577Z" + }, + "id": "dW30E-EkVTKW", + "outputId": "2b30dcaa-0a1b-41ce-b2c7-1bfec6155a66" + }, + "source": [ + "showPreds(img, pred[0], iou_max_overlap=0.15, min_score=0.15, label_names=NAME)" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/pdf": "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\n", + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "#Define our helper function that creates a hidden layer for a CNN\n", - "def cnnLayer(in_filters, out_filters, kernel_size=3):\n", - " \"\"\"\n", - " in_filters: how many channels are in the input to this layer\n", - " out_filters: how many channels should this layer output\n", - " kernel_size: how large should the filters of this layer be\n", - " \"\"\"\n", - " padding = kernel_size//2\n", - " return nn.Sequential(\n", - " nn.Conv2d(in_filters, out_filters, kernel_size, padding=padding), \n", - " nn.BatchNorm2d(out_filters),\n", - " nn.LeakyReLU(), # I'm not setting the leak value to anything just to make the code shorter. \n", - " )\n", - "#Specifying a model for image segmentation\n", - "segmentation_model = nn.Sequential(\n", - " cnnLayer(C, n_filters), #First layer changes number of channels up to the large numer\n", - " *[cnnLayer(n_filters, n_filters) for _ in range(5)], #Create 5 more hidden layers\n", - " #Make a prediction for _every_ location. Notice we use 1 channel out, since we have a binary problem and are using BCEWithLogitsLoss as our loss function. \n", - " nn.Conv2d(n_filters, 1, (3,3), padding=1), #Shape is now (1, W, H)\n", - ")\n", - "#train the segmentation model\n", - "seg_results = train_network(segmentation_model, loss_func, train_seg_loader, epochs=10, device=device, val_loader=test_seg_loader)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T03:23:50.755475Z", - "start_time": "2021-01-24T03:23:49.986607Z" - }, - "tags": [ - "remove_input" - ] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(-240, -50, 'Error: Phantom object')" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "index = 6 # Picking a specific example from the dataset that shows a particular result. Change this to look at other entries from the dataset.\n", - "\n", - "with torch.no_grad():#We don't want gradients if we aren't training, so no gradients please!\n", - " #push a test datapoint through the model. Remember the raw outputs are called the logits\n", - " logits = segmentation_model(test_split[index][0].unsqueeze(0).to(device))[0].cpu()\n", - " #apply $\\sigma$ to the logits to make predictions and then apply a threshold to get a prediction mask\n", - " pred = torch.sigmoid(logits) >= 0.5\n", - "\n", - "#Plot the input, ground truth, and prediction\n", - "plt.figure(figsize=(16,10))\n", - "plt.subplot(1, 3, 1)\n", - "plt.imshow(test_split[index][0].permute(1,2,0).numpy(), cmap='gray') #First plot the original input to the network\n", - "plt.subplot(1, 3, 2)\n", - "plt.imshow(test_split[index][1].numpy()[0,:], cmap='gray') #Second is ground truth\n", - "plt.subplot(1, 3, 3) \n", - "plt.imshow(pred.numpy()[0,:], cmap='gray') #Third is the prediction our network made\n", - "\n", - "plt.annotate('Error: Hole', color=\"red\", fontsize=20, xy=(130, 230),\n", - " xycoords='data', xytext=(-60, 60),\n", - " textcoords='offset points',\n", - " arrowprops=dict(arrowstyle=\"->\",\n", - " linewidth = 2.5,\n", - " color = 'red')\n", - " )\n", - "\n", - "plt.annotate('Error: Hole', color=\"red\", fontsize=20, xy=(210, 75),\n", - " xycoords='data', xytext=(-160, -60),\n", - " textcoords='offset points',\n", - " arrowprops=dict(arrowstyle=\"->\",\n", - " linewidth = 2.5,\n", - " color = 'red')\n", - " )\n", - "plt.annotate('Error: Phantom object', color=\"red\", fontsize=20, xy=(247, 15),\n", - " xycoords='data', xytext=(-240, -50),\n", - " textcoords='offset points',\n", - " arrowprops=dict(arrowstyle=\"->\",\n", - " linewidth = 2.5,\n", - " color = 'red')\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T03:48:46.862909Z", - "start_time": "2021-01-24T03:23:50.760697Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "94246cc4612e44dd862697c182ff9f3e", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "segmentation_model2 = nn.Sequential(\n", - " cnnLayer(C, n_filters), #First layer changes number of channels up to the large numer\n", - " cnnLayer(n_filters, n_filters),\n", - " nn.MaxPool2d(2), #Shrinks the height and width by 2\n", - " cnnLayer(n_filters, 2*n_filters),\n", - " cnnLayer(2*n_filters, 2*n_filters),\n", - " cnnLayer(2*n_filters, 2*n_filters),\n", - " #Double the height and width, countering the effect of the single MaxPool2d before\n", - " nn.ConvTranspose2d(2*n_filters, n_filters, (3,3), padding=1, output_padding=1, stride=2),\n", - " nn.BatchNorm2d(n_filters),\n", - " nn.LeakyReLU(),\n", - " #Back to normal convolutions\n", - " cnnLayer(n_filters, n_filters),\n", - " #Prediction for _every_ location\n", - " nn.Conv2d(n_filters, 1, (3,3), padding=1), #Shape is now (B, 1, W, H)\n", - ")\n", - "\n", - "seg_results2 = train_network(segmentation_model2, loss_func, train_seg_loader, epochs=10, device=device, val_loader=test_seg_loader)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T03:48:47.495871Z", - "start_time": "2021-01-24T03:48:46.864068Z" } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "index = 6 # Same example from before\n", - "\n", - "with torch.no_grad(): #We don't want gradients if we aren't training, so no gradients please!\n", - " #push a test datapoint through the model. Remember the raw outputs are called the logits\n", - " pred = segmentation_model2(test_split[index][0].unsqueeze(0).to(device))[0].cpu()\n", - " #apply $\\sigma$ to the logits to make predictions and then apply a threshold to get a prediction mask\n", - " pred = torch.sigmoid(pred) >= 0.5\n", - "\n", - "\n", - "#Plot the input, ground truth, and prediction\n", - "plt.figure(figsize=(16,10))\n", - "plt.subplot(1, 3, 1)\n", - "plt.imshow(test_split[index][0].permute(1,2,0).numpy(), cmap='gray') #First plot the original input to the network\n", - "plt.subplot(1, 3, 2)\n", - "plt.imshow(test_split[index][1].numpy()[0,:], cmap='gray') #Second is ground truth\n", - "plt.subplot(1, 3, 3)\n", - "plt.imshow(pred.numpy()[0,:], cmap='gray') #Third is the prediction our network made" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T03:48:47.499885Z", - "start_time": "2021-01-24T03:48:47.497290Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "del segmentation_model\n", - "del segmentation_model2" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T03:48:47.738301Z", - "start_time": "2021-01-24T03:48:47.501216Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x='epoch', y='val loss', data=seg_results, label='CNN')\n", - "sns.lineplot(x='epoch', y='val loss', data=seg_results2, label='CNN w/ transposed-conv')" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T03:48:47.746723Z", - "start_time": "2021-01-24T03:48:47.739686Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "class UNetBlock2d(nn.Module): #Our class extends nn.Module, all PyTorch layers must extend this \n", - " def __init__(self, in_channels, mid_channels, out_channels=None, layers=1, sub_network=None, filter_size=3):\n", - " \"\"\" \n", - " in_channels: the number of channels in the input to this block\n", - " mid_channels: the number of channels to have as the output for each convolutional filter\n", - " out_channels: if not `None`, ends the network with a 1x1 convolution to convert the number of output channels to a specific number. \n", - " layers: how many blocks of hidden layers to create on both the input and output side of a U-Net block\n", - " sub_network: the network to apply after shrinking the input by a factor of 2 using max pooling. The number of output channels should be equal to `mid_channels`\n", - " filter_size: how large the convolutional filters should be\n", - " \"\"\"\n", - " super().__init__()\n", - " \n", - " #Start preparing the layers used to process the input\n", - " in_layers = [cnnLayer(in_channels, mid_channels, filter_size)]\n", - " \n", - " #If we have a sub-network, we will double the number of inputs to the output. So lets figure that out now\n", - " if sub_network is None:\n", - " inputs_to_outputs = 1\n", - " else:\n", - " inputs_to_outputs = 2\n", - "\n", - " #Preparing the layers used to make the final output, which has extra input channels from any sub-network\n", - " out_layers = [ cnnLayer(mid_channels*inputs_to_outputs, mid_channels, filter_size)]\n", - " \n", - " #Make the additional hidden layers used for the input and output\n", - " for _ in range(layers-1):\n", - " in_layers.append(cnnLayer(mid_channels, mid_channels, filter_size))\n", - " out_layers.append(cnnLayer(mid_channels, mid_channels, filter_size))\n", - " #Use 1x1 Convolutions to ensure a specific output size\n", - " if out_channels is not None:\n", - " out_layers.append(nn.Conv2d(mid_channels, out_channels, 1, padding=0))\n", - " \n", - " #define our three total sub-networks:\n", - " #1) in_model performs the intial rounds of convolution\n", - " self.in_model = nn.Sequential(*in_layers)\n", - " #2) our subnetwork works on the max-pooled result. We will add the pooling and up-scaling directly into the sub-model\n", - " if sub_network is not None:\n", - " self.bottleneck = nn.Sequential(\n", - " nn.MaxPool2d(2), #Shrink\n", - " sub_network, #process the smaller resolution\n", - " #expand back up\n", - " nn.ConvTranspose2d(mid_channels, mid_channels, filter_size, padding=filter_size//2, output_padding=1, stride=2)\n", - " )\n", - " else:\n", - " self.bottleneck = None\n", - " #3) the output model that processes the concatinated result, or just the output from in_model if no sub-network was given\n", - " self.out_model = nn.Sequential(*out_layers)\n", - " \n", - " \n", - " #The forward function is the code that takes an input and produce an output. \n", - " def forward(self, x):\n", - " #compute the convolutions at the current scale\n", - " full_scale_result = self.in_model(x) #(B, C, W, H)\n", - " #check if we have a bottleneck to apply\n", - " if self.bottleneck is not None:\n", - " #(B, C, W, H) shape because bottleneck does both the pooling & expansion\n", - " bottle_result = self.bottleneck(full_scale_result)\n", - " #Now shape (B, 2*C, W, H)\n", - " full_scale_result = torch.cat([full_scale_result, bottle_result], dim=1)\n", - " #compute the output on the concatenated (or not!) result\n", - " return self.out_model(full_scale_result)\n", - "#Caption: A class implementing a “Block” of the U-Net approach. Each block needs to know how many channels are coming in and out of the block. The block has three components. 1) the input network, what processes the raw input coming into this block. 2) the bottleneck, which is what the block runs after shrinking the current results down by a factor of 2, and then expands the result back up to the original size. 3) the output network, which is run on the results from the prior two sub-networks concatenated together. " - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T04:22:35.825595Z", - "start_time": "2021-01-24T03:48:47.748067Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "4eb4c295992644a68c196ba214470bdd", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=10.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, max=32.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Validating'), FloatProgress(value=0.0, max=11.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "unet_model = nn.Sequential(\n", - " UNetBlock2d(3, 32, layers=2, sub_network=\n", - " UNetBlock2d(32, 64, out_channels=32, layers=2, sub_network=\n", - " UNetBlock2d(64, 128, out_channels=64, layers=2)\n", - " ),\n", - " ),\n", - " #Prediction for _every_ location\n", - " nn.Conv2d(32, 1, (3,3), padding=1), #Shape is now (B, 1, W, H)\n", - ")\n", - "\n", - "unet_results = train_network(unet_model, loss_func, train_seg_loader, epochs=10, device=device, val_loader=test_seg_loader)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T04:22:36.089760Z", - "start_time": "2021-01-24T04:22:35.829480Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x='epoch', y='val loss', data=seg_results, label='CNN')\n", - "sns.lineplot(x='epoch', y='val loss', data=seg_results2, label='CNN w/ transposed-conv')\n", - "sns.lineplot(x='epoch', y='val loss', data=unet_results, label='UNet')" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T04:22:36.093962Z", - "start_time": "2021-01-24T04:22:36.091379Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "set_seed(42)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T04:22:36.102503Z", - "start_time": "2021-01-24T04:22:36.095191Z" - } - }, - "outputs": [], - "source": [ - "class Class2Detect(Dataset):\n", - " \"\"\"This class is used to create a simple converstion of a dataset from a classification problem, to a detection problem. \"\"\"\n", - "\n", - " def __init__(self, dataset, toSample=3, canvas_size=100):\n", - " \"\"\"\n", - " dataset: the source dataset to sample items from as the \"objects\" to detect\n", - " toSample: the maximum number of \"objects\" to put into any image\n", - " canvas_size: the width and height of the images to place objects inside of. \n", - " \"\"\"\n", - " self.dataset = dataset\n", - " self.toSample = toSample\n", - " self.canvas_size = canvas_size\n", - "\n", - " def __len__(self):\n", - " return len(self.dataset)\n", - "\n", - " def __getitem__(self, idx):\n", - " \n", - " boxes = []\n", - " labels = []\n", - " \n", - " final_size = self.canvas_size\n", - " #First, create a larger image that will store all the \"objects\" to detect\n", - " img_p = torch.zeros((final_size,final_size), dtype=torch.float32)\n", - " #Now we are going to sample up to self.toSample objects to place into the image\n", - " for _ in range(np.random.randint(1,self.toSample+1)):\n", - " \n", - " #Pick an object at random from the original dataset, and its label\n", - " img, label = self.dataset[np.random.randint(0,len(self.dataset))]\n", - " #Get the height and width of that image\n", - " _, img_h, img_w = img.shape\n", - " #Pick a random offset of the x and y axis, essentially placing the image at a random location\n", - " offsets = np.random.randint(0,final_size-np.max(img.shape),size=(4))\n", - " #Change the padding at the end to make sure we come out to a specific 100,100 shape\n", - " offsets[1] = final_size - img.shape[1] - offsets[0]\n", - " offsets[3] = final_size - img.shape[2] - offsets[2]\n", - " \n", - " with torch.no_grad():\n", - " img_p = img_p + F.pad(img, tuple(offsets))\n", - " #Lets craete the values for the \"boxes\"\n", - " #all of these are in absolute pixel locations\n", - " \n", - " #x_min determined by the randomly selected offset\n", - " xmin = offsets[0]\n", - " #x_max is the offset plus the image's width\n", - " xmax = offsets[0]+img_w\n", - " #y min/max follows the same pattern\n", - " ymin = offsets[2]\n", - " ymax = offsets[2]+img_h\n", - " #now we add to the box with the right label\n", - " boxes.append( [xmin, ymin, xmax, ymax] )\n", - " labels.append( label )\n", - "\n", - " \n", - " target = {}\n", - " target[\"boxes\"] = torch.as_tensor(boxes, dtype=torch.float32)\n", - " target[\"labels\"] = torch.as_tensor(labels, dtype=torch.int64)\n", - " \n", - " return img_p, target\n", - "#Caption: This class defines a toy MNIST detector. Images from the MNIST dataset are placed at random locations in an image. The object detector will try to learn to predict where digits are, and what digit is at each location. " - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T04:22:36.119252Z", - "start_time": "2021-01-24T04:22:36.103717Z" - } - }, - "outputs": [], - "source": [ - "train_data = Class2Detect(torchvision.datasets.MNIST(\"./\", train=True, transform=transforms.ToTensor(), download=True))\n", - "test_data = Class2Detect(torchvision.datasets.MNIST(\"./\", train=False, transform=transforms.ToTensor(), download=True))\n", - "\n", - "def collate_fn(batch):\n", - " \"\"\"\n", - " batch is going to contain a python list of objects. In our case, our data loader returns (Tensor, Dict) pairs\n", - " The FasterRCNN algorithm wants a List[Tensors] and a List[Dict]. So we will use this function to convert the \n", - " batch of data into the form we want, and then give it to the Dataloader to use\n", - " \"\"\"\n", - " imgs = []\n", - " labels = []\n", - " for img, label in batch:\n", - " imgs.append(img)\n", - " labels.append(label)\n", - " return imgs, labels\n", - "\n", - "train_loader = DataLoader(train_data, batch_size=128, shuffle=True, collate_fn=collate_fn)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T04:22:36.282902Z", - "start_time": "2021-01-24T04:22:36.120630Z" - }, - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "x, y = train_data[0] # Grab an image with its labels\n", - "imshow(x.numpy()[0,:])" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T04:22:36.295660Z", - "start_time": "2021-01-24T04:22:36.284101Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'boxes': tensor([[14., 60., 42., 88.],\n", - " [23., 21., 51., 49.],\n", - " [29., 1., 57., 29.]]), 'labels': tensor([0, 1, 8])}\n", - "Boxes: tensor([[14., 60., 42., 88.],\n", - " [23., 21., 51., 49.],\n", - " [29., 1., 57., 29.]])\n", - "Labels: tensor([0, 1, 8])\n" - ] - } - ], - "source": [ - "print(y) #prints out everything\n", - "print(\"Boxes: \", y['boxes']) #prints a tensor showing the pixel locations of the corners for all 3 objects\n", - "print(\"Labels: \", y['labels']) #prints a tensor showing the labels for all 3 objects" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T04:22:36.298704Z", - "start_time": "2021-01-24T04:22:36.296774Z" - } - }, - "outputs": [], - "source": [ - "#How many channels are in the input?\n", - "C = 1\n", - "#How many classes are there?\n", - "classes = 10\n", - "#How many filters in our backbone\n", - "n_filters = 32" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T04:22:36.309293Z", - "start_time": "2021-01-24T04:22:36.299875Z" - } - }, - "outputs": [], - "source": [ - "backbone = nn.Sequential(\n", - " cnnLayer(C, n_filters), \n", - " cnnLayer(n_filters, n_filters),\n", - " cnnLayer(n_filters, n_filters),\n", - " nn.MaxPool2d((2,2)),\n", - " cnnLayer(n_filters, 2*n_filters),\n", - " cnnLayer(2*n_filters, 2*n_filters),\n", - " cnnLayer(2*n_filters, 2*n_filters),\n", - " nn.MaxPool2d((2,2)),\n", - " cnnLayer(2*n_filters, 4*n_filters),\n", - " cnnLayer(4*n_filters, 4*n_filters),\n", - ")\n", - "#Let Faster RCNN know exactly how many output channels to expect\n", - "backbone.out_channels = n_filters*4" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T04:22:36.356075Z", - "start_time": "2021-01-24T04:22:36.310620Z" - } - }, - "outputs": [], - "source": [ - "# How many proposals $k$ should be generated? Every aspect ration will be one, and the process will be repeated for multiple image sizes \n", - "anchor_generator = AnchorGenerator(sizes=((32),), aspect_ratios=((1.0),)) #To make this run faster, we are telling PyTorch to look for only square images that are 32 x 32 in size\n", - "\n", - "#Tell PyTorch to use the final output of the backbone as the featuremap (['0']), use adaptive pooling down to a 7x7 grid (output_size=7)\n", - "roi_pooler = torchvision.ops.MultiScaleRoIAlign(featmap_names=['0'], output_size=7, sampling_ratio=2)\n", - "#sampling_ratio is poorly named, and controls details on how the RoI grabs slices of the feature map when a fractional pixel location is predicted (e.g., 5.8 instead of 6). We are not going to go into those low level details, 2 is a reasonable default for most work. \n", - " \n", - "#Now we can create the FasterRCNN object. We give it the backbone network, number of classes, min & max size to process images at (we know all our images at 100 pixels), a mean and standard deviation to subtract from the images, and the anchor generation (RPN) and RoI objects\n", - "model = FasterRCNN(backbone, num_classes=10, image_mean = [0.5], image_std = [0.229], min_size=100, max_size=100, rpn_anchor_generator=anchor_generator, box_roi_pool=roi_pooler)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.225943Z", - "start_time": "2021-01-24T04:22:36.357477Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "903407445acf4704a69cbce9c0978160", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Epoch'), FloatProgress(value=0.0, max=1.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value='Train Batch'), FloatProgress(value=0.0, max=469.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "model = model.train()\n", - "model.to(device)\n", - "optimizer = torch.optim.AdamW(model.parameters())\n", - "\n", - "for epoch in tqdm(range(1), desc=\"Epoch\", disable=False):\n", - " running_loss = 0.0\n", - " for inputs, labels in tqdm(train_loader, desc=\"Train Batch\", leave=False, disable=False):\n", - " #Move the batch to the device we are using. \n", - " inputs = moveTo(inputs, device)\n", - " labels = moveTo(labels, device)\n", - "\n", - " optimizer.zero_grad()\n", - " #rcnn wants model(inputs, labels) - not just model(inputs)\n", - " losses = model(inputs, labels)\n", - " # Compute loss, RCNN gives us a list of losses to add up.\n", - " loss = 0\n", - " for partial_loss in losses.values():\n", - " loss += partial_loss\n", - " #now proceed like normal\n", - " loss.backward()\n", - " \n", - " optimizer.step()\n", - "\n", - " running_loss += loss.item()" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.231339Z", - "start_time": "2021-01-24T10:12:05.227112Z" - } - }, - "outputs": [], - "source": [ - "model = model.eval()\n", - "model = model.to(device)" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.235511Z", - "start_time": "2021-01-24T10:12:05.232421Z" - }, - "tags": [ - "remove_cell" - ] - }, - "outputs": [], - "source": [ - "set_seed(161)" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.242016Z", - "start_time": "2021-01-24T10:12:05.236657Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'boxes': tensor([[31., 65., 59., 93.],\n", - " [10., 36., 38., 64.],\n", - " [64., 24., 92., 52.]]), 'labels': tensor([8, 0, 4])}\n" - ] - } - ], - "source": [ - "x, y = test_data[0]\n", - "print(y) #this is the ideal truth we want to get back" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.308350Z", - "start_time": "2021-01-24T10:12:05.243347Z" - } - }, - "outputs": [], - "source": [ - "with torch.no_grad():\n", - " pred = model([x.to(device)])" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.314139Z", - "start_time": "2021-01-24T10:12:05.309841Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[{'boxes': tensor([[64.6030, 24.0820, 92.9474, 52.3093],\n", - " [32.1779, 65.4503, 60.1157, 93.2809],\n", - " [31.1220, 64.8652, 59.5061, 92.9957],\n", - " [31.8287, 65.2230, 59.4938, 93.1464],\n", - " [65.9727, 24.9435, 93.9999, 52.7613]]), 'labels': tensor([4, 8, 9, 5, 7]), 'scores': tensor([0.9833, 0.9764, 0.0921, 0.0752, 0.0543])}]\n" - ] - } - ], - "source": [ - "print(pred)" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.317257Z", - "start_time": "2021-01-24T10:12:05.315383Z" - } - }, - "outputs": [], - "source": [ - "import matplotlib.patches as patches" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.324206Z", - "start_time": "2021-01-24T10:12:05.318468Z" - } - }, - "outputs": [], - "source": [ - "def plotDetection(ax, abs_pos, label=None):\n", - " \"\"\"\n", - " ax: the matpllib axis to add this plot to\n", - " abs_pos: the positions of the bounding box\n", - " label: the label of the prediction to add\n", - " \"\"\"\n", - " x1, y1, x2, y2 = abs_pos\n", - " #make a rectangle for the bounding box\n", - " rect = patches.Rectangle((x1,y1),x2-x1,y2-y1,linewidth=1,edgecolor='r',facecolor='none')\n", - " ax.add_patch(rect)\n", - " #add the label if given\n", - " if label is not None:\n", - " plt.text(x1+0.5, y1, label, color='black', bbox=dict(facecolor='white', edgecolor='white', pad=1.0))\n", - " \n", - " return \n", - "\n", - "def showPreds(img, pred):\n", - " \"\"\"\n", - " img: the image to show the bounding box predictions for\n", - " pred: the Faster R-CNN predictions to show ontop of the image\n", - " \"\"\"\n", - " fig,ax = plt.subplots(1)\n", - " #plot the image\n", - " ax.imshow(img.cpu().numpy()[0,:])\n", - " #grab the predictions\n", - " boxes = pred['boxes'].cpu()\n", - " labels = pred['labels'].cpu()\n", - " scores = pred['scores'].cpu()\n", - " \n", - " num_preds = labels.shape[0]\n", - " #for each prediction, plot if if it has a high enough score\n", - " for i in range(num_preds):\n", - " plotDetection(ax, boxes[i].cpu().numpy(), label=str(labels[i].item()))\n", - " \n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.523668Z", - "start_time": "2021-01-24T10:12:05.325785Z" - } - }, - "outputs": [ - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "showPreds(x, pred[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.527436Z", - "start_time": "2021-01-24T10:12:05.524971Z" - } - }, - "outputs": [], - "source": [ - "from torchvision.ops import nms" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.536851Z", - "start_time": "2021-01-24T10:12:05.530211Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "tensor([[64.6030, 24.0820, 92.9474, 52.3093],\n", - " [32.1779, 65.4503, 60.1157, 93.2809],\n", - " [31.1220, 64.8652, 59.5061, 92.9957],\n", - " [31.8287, 65.2230, 59.4938, 93.1464],\n", - " [65.9727, 24.9435, 93.9999, 52.7613]])\n" - ] - } - ], - "source": [ - "print(pred[0]['boxes'])" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.541881Z", - "start_time": "2021-01-24T10:12:05.538374Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "tensor([0.9833, 0.9764, 0.0921, 0.0752, 0.0543])\n" - ] - } - ], - "source": [ - "print(pred[0]['scores'])" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.546835Z", - "start_time": "2021-01-24T10:12:05.543258Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "tensor([0, 1])\n" - ] - } - ], - "source": [ - "print(nms(pred[0]['boxes'], pred[0]['scores'], 0.5))" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.553725Z", - "start_time": "2021-01-24T10:12:05.548228Z" - } - }, - "outputs": [], - "source": [ - "def showPreds(img, pred, iou_max_overlap=0.5, min_score=0.05, label_names=None):\n", - " \"\"\"\n", - " img: the original image object detection was performed on\n", - " pred: the output dictionary from FasterRCNN for evaluation on img\n", - " iou_max_overlap: the iou threshold at which non-maximum suppression will be performed\n", - " min_score: the minimum RPN network score to consider an object\n", - " \"\"\"\n", - " fig,ax = plt.subplots(1)\n", - " img = img.cpu().numpy()\n", - " if img.shape[0] == 1:\n", - " ax.imshow(img[0,:])\n", - " else:\n", - " ax.imshow(np.moveaxis(img, 0, 2))\n", - " boxes = pred['boxes'].cpu()\n", - " labels = pred['labels'].cpu()\n", - " scores = pred['scores'].cpu()\n", - " \n", - " selected = nms(boxes, scores, iou_max_overlap).cpu().numpy()\n", - " \n", - " for i in selected:\n", - " if scores[i].item() > min_score:\n", - " if label_names is None:\n", - " label = str(labels[i].item())\n", - " else:\n", - " label = label_names[labels[i].item()]\n", - " plotDetection(ax, boxes[i].cpu().numpy(), label=label)\n", - " \n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:05.736166Z", - "start_time": "2021-01-24T10:12:05.555114Z" - } - }, - "outputs": [ - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "showPreds(x, pred[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:06.253761Z", - "start_time": "2021-01-24T10:12:05.739959Z" - }, - "tags": [ - "remove_output" - ] - }, - "outputs": [], - "source": [ - "rcnn = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)\n", - "# This RCNN detector is pre setup for a specific set of classes. You can re-use it for your own problems by setting num_classes=10 and pretrained_backbone=True, and then training it with your own data like we did before with MNIST. " - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:06.259454Z", - "start_time": "2021-01-24T10:12:06.255351Z" - } - }, - "outputs": [], - "source": [ - "rcnn = rcnn.eval()" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:06.265618Z", - "start_time": "2021-01-24T10:12:06.260574Z" - } - }, - "outputs": [], - "source": [ - "# COCO_INSTANCE_CATEGORY_NAMES, these come from the PyTorch documentation. https://pytorch.org/docs/stable/torchvision/models.html#object-detection-instance-segmentation-and-person-keypoint-detection\n", - "NAME = [\n", - " '__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus',\n", - " 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'N/A', 'stop sign',\n", - " 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',\n", - " 'elephant', 'bear', 'zebra', 'giraffe', 'N/A', 'backpack', 'umbrella', 'N/A', 'N/A',\n", - " 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball',\n", - " 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket',\n", - " 'bottle', 'N/A', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl',\n", - " 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza',\n", - " 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'N/A', 'dining table',\n", - " 'N/A', 'N/A', 'toilet', 'N/A', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone',\n", - " 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'N/A', 'book',\n", - " 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'\n", - "]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:06.734109Z", - "start_time": "2021-01-24T10:12:06.266700Z" - } - }, - "outputs": [], - "source": [ - "from PIL import Image\n", - "import requests\n", - "from io import BytesIO\n", - "\n", - "urls = [\n", - " \"https://hips.hearstapps.com/hmg-prod.s3.amazonaws.com/images/10best-cars-group-cropped-1542126037.jpg\",\n", - " \"https://miro.medium.com/max/5686/1*ZqJFvYiS5GmLajfUfyzFQA.jpeg\",\n", - " \"https://www.denverpost.com/wp-content/uploads/2018/03/virginia_umbc_001.jpg?w=910\"\n", - "]\n", - "\n", - "response = requests.get(urls[0])\n", - "img = Image.open(BytesIO(response.content))" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:08.757138Z", - "start_time": "2021-01-24T10:12:06.736855Z" - } - }, - "outputs": [], - "source": [ - "img = np.asarray(img)/256.0\n", - "img = torch.tensor(img, dtype=torch.float32).permute((2,0,1))\n", - "\n", - "with torch.no_grad():\n", - " pred = rcnn([img]) # Pass the image to the model" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "ExecuteTime": { - "end_time": "2021-01-24T10:12:10.676341Z", - "start_time": "2021-01-24T10:12:08.758577Z" - } - }, - "outputs": [ - { - "data": { - "application/pdf": "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\n", - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "showPreds(img, pred[0], iou_max_overlap=0.15, min_score=0.15, label_names=NAME)" - ] - } - ], - "metadata": { - "author": "mes$", - "celltoolbar": "Tags", - "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": "3.7.9" - }, - "latex_envs": { - "LaTeX_envs_menu_present": true, - "autoclose": false, - "autocomplete": true, - "bibliofile": "biblio.bib", - "cite_by": "apalike", - "current_citInitial": 1, - "eqLabelWithNumbers": true, - "eqNumInitial": 1, - "hotkeys": { - "equation": "Ctrl-E", - "itemize": "Ctrl-I" - }, - "labels_anchors": false, - "latex_user_defs": false, - "report_style_numbering": false, - "user_envs_cfg": false - }, - "latex_metadata": { - "title": "Object Detection" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + ] +} \ No newline at end of file