example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f2fa502e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import doppelganger as dg\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import random\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from torch.utils.data import TensorDataset\n",
    "from torch.utils.tensorboard import SummaryWriter\n",
    "from torch import Tensor\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f426c936",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2015-07-01</th>\n",
       "      <th>2015-07-02</th>\n",
       "      <th>2015-07-03</th>\n",
       "      <th>2015-07-04</th>\n",
       "      <th>2015-07-05</th>\n",
       "      <th>2015-07-06</th>\n",
       "      <th>2015-07-07</th>\n",
       "      <th>2015-07-08</th>\n",
       "      <th>2015-07-09</th>\n",
       "      <th>2015-07-10</th>\n",
       "      <th>...</th>\n",
       "      <th>2016-12-28</th>\n",
       "      <th>2016-12-29</th>\n",
       "      <th>2016-12-30</th>\n",
       "      <th>2016-12-31</th>\n",
       "      <th>domain</th>\n",
       "      <th>access</th>\n",
       "      <th>agent</th>\n",
       "      <th>domain_name</th>\n",
       "      <th>access_name</th>\n",
       "      <th>agent_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.953478</td>\n",
       "      <td>-0.890449</td>\n",
       "      <td>-0.869384</td>\n",
       "      <td>-0.841322</td>\n",
       "      <td>-0.763911</td>\n",
       "      <td>-0.859178</td>\n",
       "      <td>-0.845235</td>\n",
       "      <td>-0.833588</td>\n",
       "      <td>-0.849179</td>\n",
       "      <td>-0.881915</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.516602</td>\n",
       "      <td>-0.542549</td>\n",
       "      <td>-0.597727</td>\n",
       "      <td>-0.653796</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>es.wikipedia.org</td>\n",
       "      <td>all-access</td>\n",
       "      <td>all-agents</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.652367</td>\n",
       "      <td>-0.665763</td>\n",
       "      <td>-0.749920</td>\n",
       "      <td>-0.796235</td>\n",
       "      <td>-0.749920</td>\n",
       "      <td>-0.940103</td>\n",
       "      <td>-0.823950</td>\n",
       "      <td>-0.712078</td>\n",
       "      <td>-0.665763</td>\n",
       "      <td>-0.796235</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.665763</td>\n",
       "      <td>-0.680083</td>\n",
       "      <td>-0.796235</td>\n",
       "      <td>-0.680083</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>ru.wikipedia.org</td>\n",
       "      <td>desktop</td>\n",
       "      <td>all-agents</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.056571</td>\n",
       "      <td>0.035157</td>\n",
       "      <td>-0.100391</td>\n",
       "      <td>-0.342879</td>\n",
       "      <td>-0.264962</td>\n",
       "      <td>-0.038755</td>\n",
       "      <td>-0.019944</td>\n",
       "      <td>-0.089247</td>\n",
       "      <td>-0.094342</td>\n",
       "      <td>-0.227595</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.619415</td>\n",
       "      <td>-0.628571</td>\n",
       "      <td>-0.719442</td>\n",
       "      <td>-0.812384</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>es.wikipedia.org</td>\n",
       "      <td>all-access</td>\n",
       "      <td>all-agents</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.199499</td>\n",
       "      <td>-0.199499</td>\n",
       "      <td>-0.216112</td>\n",
       "      <td>-0.216112</td>\n",
       "      <td>-0.311184</td>\n",
       "      <td>-0.233432</td>\n",
       "      <td>-0.344652</td>\n",
       "      <td>-0.216112</td>\n",
       "      <td>-0.023780</td>\n",
       "      <td>-0.251522</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.290310</td>\n",
       "      <td>-0.175786</td>\n",
       "      <td>-0.260878</td>\n",
       "      <td>-0.183538</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>en.wikipedia.org</td>\n",
       "      <td>all-access</td>\n",
       "      <td>spider</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.066951</td>\n",
       "      <td>-0.571080</td>\n",
       "      <td>-0.833646</td>\n",
       "      <td>-0.532329</td>\n",
       "      <td>-0.391577</td>\n",
       "      <td>-0.149342</td>\n",
       "      <td>0.026857</td>\n",
       "      <td>0.083221</td>\n",
       "      <td>0.105196</td>\n",
       "      <td>-0.019007</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.444236</td>\n",
       "      <td>-0.380625</td>\n",
       "      <td>-0.450464</td>\n",
       "      <td>-0.539831</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>en.wikipedia.org</td>\n",
       "      <td>all-access</td>\n",
       "      <td>spider</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 556 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   2015-07-01  2015-07-02  2015-07-03  2015-07-04  2015-07-05  2015-07-06  \\\n",
       "0   -0.953478   -0.890449   -0.869384   -0.841322   -0.763911   -0.859178   \n",
       "1   -0.652367   -0.665763   -0.749920   -0.796235   -0.749920   -0.940103   \n",
       "2    0.056571    0.035157   -0.100391   -0.342879   -0.264962   -0.038755   \n",
       "3   -0.199499   -0.199499   -0.216112   -0.216112   -0.311184   -0.233432   \n",
       "4   -0.066951   -0.571080   -0.833646   -0.532329   -0.391577   -0.149342   \n",
       "\n",
       "   2015-07-07  2015-07-08  2015-07-09  2015-07-10  ...  2016-12-28  \\\n",
       "0   -0.845235   -0.833588   -0.849179   -0.881915  ...   -0.516602   \n",
       "1   -0.823950   -0.712078   -0.665763   -0.796235  ...   -0.665763   \n",
       "2   -0.019944   -0.089247   -0.094342   -0.227595  ...   -0.619415   \n",
       "3   -0.344652   -0.216112   -0.023780   -0.251522  ...   -0.290310   \n",
       "4    0.026857    0.083221    0.105196   -0.019007  ...   -0.444236   \n",
       "\n",
       "   2016-12-29  2016-12-30  2016-12-31  domain  access  agent  \\\n",
       "0   -0.542549   -0.597727   -0.653796       3       0      0   \n",
       "1   -0.680083   -0.796235   -0.680083       6       1      0   \n",
       "2   -0.628571   -0.719442   -0.812384       3       0      0   \n",
       "3   -0.175786   -0.260878   -0.183538       2       0      1   \n",
       "4   -0.380625   -0.450464   -0.539831       2       0      1   \n",
       "\n",
       "        domain_name  access_name  agent_name  \n",
       "0  es.wikipedia.org   all-access  all-agents  \n",
       "1  ru.wikipedia.org      desktop  all-agents  \n",
       "2  es.wikipedia.org   all-access  all-agents  \n",
       "3  en.wikipedia.org   all-access      spider  \n",
       "4  en.wikipedia.org   all-access      spider  \n",
       "\n",
       "[5 rows x 556 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read wiki data\n",
    "wwt = pd.read_csv(\"data/wwt-50k-training.csv.gz\", index_col=0)\n",
    "wwt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e5360e89",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(50000, 3)\n",
      "(50000, 550, 1)\n"
     ]
    }
   ],
   "source": [
    "# Create attribute and feature arrays\n",
    "wwt_attributes = wwt[[\"domain\", \"access\", \"agent\"]].to_numpy()\n",
    "print(wwt_attributes.shape)\n",
    "wwt_features = wwt.iloc[:, 0:550].to_numpy().reshape(50000, 550, 1)\n",
    "\n",
    "\n",
    "wwt_features = wwt_features[:,:,:]\n",
    "print(wwt_features.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "30e8cc2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot autocovariance in real time series\n",
    "real_autocov = dg.autocovariance(wwt_features)\n",
    "\n",
    "plt.plot(real_autocov)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f825ea0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Prepare data\n",
    "dg_data = dg.prepare_data(\n",
    "    wwt_attributes,\n",
    "    [dg.OutputType.DISCRETE] * 3,\n",
    "    wwt_features,\n",
    "    [dg.OutputType.CONTINUOUS],\n",
    "    normalization=dg.Normalization.MINUSONE_ONE,\n",
    "    is_feature_normalized=False,\n",
    "    is_example_normalized=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0d7dba32",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:32,  5.40it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:33,  5.37it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:31,  5.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:31,  5.45it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:32,  5.42it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:31,  5.44it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 6\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:32,  5.43it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 7\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:31,  5.43it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:34,  5.29it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 9\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:38,  5.09it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 10\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:39,  5.03it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 11\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:40,  4.99it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 12\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:43,  4.82it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 13\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:47,  4.65it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 14\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:51,  4.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 15\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:50,  4.53it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 16\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:50,  4.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 17\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:44,  4.77it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 18\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:43,  4.84it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 19\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:46,  4.70it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 20\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:47,  4.66it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 21\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:49,  4.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 22\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:54,  4.36it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 23\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:57,  4.24it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 24\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:57,  4.24it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 25\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:51,  4.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 26\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:50,  4.51it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 27\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:46,  4.70it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 28\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:44,  4.77it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 29\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:46,  4.70it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 30\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:46,  4.69it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 31\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:43,  4.85it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 32\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:38,  5.06it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 33\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:39,  5.03it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 34\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:36,  5.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 35\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:35,  5.21it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 36\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:38,  5.08it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 37\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:39,  5.03it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 38\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:40,  4.99it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 39\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:43,  4.85it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 40\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:47,  4.67it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 41\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:52,  4.45it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 42\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:52,  4.43it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 43\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:50,  4.51it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 44\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:52,  4.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 45\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:52,  4.44it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 46\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:55,  4.34it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 47\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:56,  4.30it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 48\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:56,  4.28it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 49\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [01:59,  4.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 50\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:00,  4.15it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 51\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  4.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 52\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.95it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 53\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.96it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 54\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.95it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 55\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.79it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 56\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:09,  3.87it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 57\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:10,  3.82it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 58\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:12,  3.77it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 59\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:10,  3.83it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 60\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.99it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 61\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:04,  4.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 62\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:03,  4.04it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 63\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.99it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 64\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:08,  3.89it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 65\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.80it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 66\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.80it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 67\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:09,  3.86it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 68\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:09,  3.87it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 69\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:10,  3.83it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 70\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:12,  3.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 71\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:17,  3.65it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 72\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:15,  3.69it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 73\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:17,  3.65it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 74\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 75\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 76\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 77\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:18,  3.60it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 78\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:17,  3.64it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 79\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:17,  3.62it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 80\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 81\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.53it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 82\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:24,  3.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 83\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:24,  3.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 84\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 85\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.48it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 86\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:27,  3.38it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 87\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:24,  3.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 88\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 89\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:24,  3.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 90\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:25,  3.45it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 91\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:27,  3.39it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 92\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:30,  3.33it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 93\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:30,  3.33it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 94\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:32,  3.27it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 95\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:32,  3.27it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 96\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:33,  3.25it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 97\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:31,  3.30it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 98\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:34,  3.23it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 99\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:35,  3.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 100\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 101\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 102\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:35,  3.21it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 103\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:37,  3.18it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 104\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 105\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:34,  3.23it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 106\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 107\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:35,  3.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 108\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:35,  3.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 109\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:37,  3.17it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 110\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:35,  3.21it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 111\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 112\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:34,  3.24it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 113\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:33,  3.25it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 114\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:35,  3.21it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 115\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:34,  3.24it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 116\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 117\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 118\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 119\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 120\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:39,  3.14it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 121\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:38,  3.15it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 122\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:38,  3.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 123\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.12it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 124\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:42,  3.08it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 125\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:28,  3.37it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 126\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:29,  3.35it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 127\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:27,  3.38it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 128\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:31,  3.31it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 129\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:30,  3.32it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 130\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:33,  3.26it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 131\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:32,  3.28it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 132\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:30,  3.32it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 133\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:32,  3.27it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 134\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 135\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 136\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:35,  3.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 137\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:35,  3.21it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 138\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 139\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 140\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:38,  3.15it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 141\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:41,  3.10it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 142\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:38,  3.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 143\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:38,  3.15it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 144\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:43,  3.06it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 145\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:46,  3.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 146\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:46,  3.01it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 147\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:45,  3.01it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 148\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:46,  3.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 149\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:45,  3.01it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 150\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:43,  3.06it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 151\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:44,  3.05it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 152\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:42,  3.07it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 153\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:49,  2.94it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 154\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.11it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 155\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.11it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 156\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:39,  3.13it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 157\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.11it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 158\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.12it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 159\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:42,  3.09it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 160\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:42,  3.07it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 161\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:41,  3.09it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 162\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:39,  3.13it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 163\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:39,  3.14it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 164\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.12it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 165\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.12it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 166\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.12it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 167\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.12it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 168\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:44,  3.05it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 169\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:41,  3.09it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 170\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:41,  3.10it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 171\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.11it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 172\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.12it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 173\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:40,  3.12it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 174\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:39,  3.14it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 175\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:38,  3.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 176\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:38,  3.15it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 177\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:39,  3.13it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 178\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:38,  3.14it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 179\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:38,  3.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 180\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 181\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:37,  3.18it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 182\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:38,  3.15it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 183\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:37,  3.17it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 184\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:39,  3.14it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 185\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:37,  3.17it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 186\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 187\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:35,  3.23it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 188\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 189\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:36,  3.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 190\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:35,  3.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 191\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:35,  3.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 192\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:34,  3.23it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 193\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:33,  3.27it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 194\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:32,  3.28it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 195\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:30,  3.31it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 196\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:29,  3.35it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 197\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:33,  3.25it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 198\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:32,  3.27it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 199\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:31,  3.29it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 200\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:29,  3.34it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 201\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:32,  3.28it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 202\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:28,  3.36it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 203\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:29,  3.34it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 204\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:28,  3.38it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 205\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:29,  3.35it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 206\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:29,  3.35it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 207\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:28,  3.36it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 208\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:30,  3.33it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 209\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:30,  3.31it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 210\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:29,  3.35it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 211\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:28,  3.36it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 212\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:27,  3.38it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 213\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:28,  3.37it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 214\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:26,  3.42it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 215\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:27,  3.40it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 216\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:25,  3.43it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 217\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:24,  3.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 218\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 219\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.56it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 220\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.56it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 221\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 222\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 223\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 224\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.48it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 225\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:24,  3.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 226\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.48it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 227\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 228\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 229\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 230\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 231\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.51it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 232\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 233\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 234\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.48it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 235\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:24,  3.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 236\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:24,  3.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 237\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:24,  3.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 238\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:25,  3.45it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 239\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 240\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 241\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 242\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 243\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 244\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.59it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 245\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.57it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 246\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 247\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 248\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 249\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 250\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 251\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 252\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 253\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 254\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.51it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 255\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 256\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 257\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 258\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.53it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 259\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 260\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 261\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 262\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 263\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.57it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 264\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 265\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 266\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 267\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.56it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 268\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.56it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 269\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.57it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 270\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 271\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:18,  3.61it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 272\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:17,  3.63it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 273\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:17,  3.63it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 274\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 275\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.59it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 276\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.59it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 277\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:17,  3.64it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 278\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:17,  3.64it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 279\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 280\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.56it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 281\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:18,  3.62it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 282\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.53it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 283\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.59it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 284\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 285\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.57it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 286\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 287\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:18,  3.61it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 288\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 289\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.53it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 290\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:21,  3.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 291\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:30,  3.33it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 292\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:27,  3.40it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 293\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:25,  3.43it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 294\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:25,  3.44it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 295\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.48it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 296\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:23,  3.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 297\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:22,  3.51it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 298\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:20,  3.56it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 299\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:18,  3.61it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 300\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:16,  3.68it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 301\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:18,  3.60it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 302\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:19,  3.59it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 303\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:17,  3.63it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 304\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:16,  3.66it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 305\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:15,  3.69it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 306\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:16,  3.65it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 307\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:16,  3.66it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 308\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:15,  3.69it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 309\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:16,  3.66it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 310\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:16,  3.67it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 311\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:16,  3.68it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 312\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:15,  3.69it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 313\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:14,  3.71it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 314\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:14,  3.72it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 315\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:14,  3.73it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 316\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:14,  3.71it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 317\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:13,  3.74it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 318\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:12,  3.76it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 319\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:13,  3.75it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 320\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:13,  3.75it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 321\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:13,  3.74it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 322\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:12,  3.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 323\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:12,  3.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 324\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:12,  3.77it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 325\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:12,  3.79it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 326\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.80it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 327\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.79it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 328\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:13,  3.76it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 329\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:12,  3.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 330\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:10,  3.83it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 331\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:10,  3.84it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 332\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.81it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 333\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.81it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 334\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.81it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 335\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.81it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 336\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.80it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 337\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.80it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 338\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:09,  3.85it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 339\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:10,  3.82it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 340\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.80it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 341\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:10,  3.84it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 342\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:09,  3.87it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 343\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:10,  3.83it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 344\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:11,  3.80it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 345\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:08,  3.90it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 346\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:09,  3.86it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 347\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:09,  3.86it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 348\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:08,  3.90it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 349\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:07,  3.91it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 350\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:07,  3.91it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 351\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:08,  3.89it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 352\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:07,  3.92it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 353\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:09,  3.88it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 354\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:07,  3.93it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 355\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.95it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 356\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:07,  3.91it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 357\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.94it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 358\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:07,  3.91it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 359\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.95it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 360\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.99it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 361\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:04,  4.02it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 362\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  4.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 363\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 364\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:04,  4.01it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 365\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 366\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.98it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 367\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 368\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  4.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 369\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.98it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 370\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.96it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 371\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.96it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 372\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.96it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 373\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.94it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 374\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.96it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 375\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.98it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 376\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 377\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  4.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 378\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.98it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 379\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.99it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 380\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 381\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.94it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 382\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.98it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 383\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:04,  4.02it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 384\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:06,  3.94it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 385\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:04,  4.03it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 386\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:04,  4.02it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 387\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:03,  4.04it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 388\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:04,  4.01it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 389\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  4.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 390\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:04,  4.01it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 391\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 392\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.98it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 393\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 394\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 395\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:05,  3.99it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 396\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:04,  4.02it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 397\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:04,  4.01it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 398\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:03,  4.05it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 399\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "500it [02:03,  4.06it/s]\n"
     ]
    }
   ],
   "source": [
    "# Train doppelganger model\n",
    "\n",
    "sample_size = 50000\n",
    "dataset = TensorDataset(\n",
    "    Tensor(dg_data.attributes[0:sample_size, :]),\n",
    "    Tensor(dg_data.additional_attributes[0:sample_size, :]),\n",
    "    Tensor(dg_data.features[0:sample_size,:, :]),\n",
    ")\n",
    "mymodel = dg.DGTorch(\n",
    "    dg_data.attribute_outputs,\n",
    "    dg_data.additional_attribute_outputs,\n",
    "    dg_data.feature_outputs,\n",
    "    max_sequence_len=dg_data.features.shape[1],\n",
    "    sample_len=10,\n",
    "    use_attribute_discriminator=True,\n",
    "    attribute_loss_coef=1,\n",
    "    gradient_penalty_coef=10,\n",
    "    attribute_gradient_penalty_coef=10,\n",
    ")\n",
    "\n",
    "writer = SummaryWriter()\n",
    "\n",
    "mymodel.train(dataset, batch_size=100, num_epochs=400, tb_writer=writer)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "102fe47e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generate some data from the networks\n",
    "attributes, features = mymodel.generate(batch_size=5000) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e835d80e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEICAYAAABRSj9aAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAbXElEQVR4nO3df5QV5Z3n8fdHUDqAQYI97kiDdI4INhEiNggxsjFGbccRnBPIQkyE2UzI6rBmN5PN4s4edRTPxpFVx8TZpCcSjT+iBs0uIiq6atwYf3RjkEzzI7RIpPFXi4qi6SDy3T9uwbleb9PV9O2+3dWf1zl9qHrqqapv38TPrX7q3qcUEZiZWXYdUu4CzMyseznozcwyzkFvZpZxDnozs4xz0JuZZZyD3sws4xz0ZglJ50tanbceko4tZ01mpeCgtz5L0uOS3pI0qKB9q6Qv5a2PSUJ74IGOFxG3R8SZJaztb7qw/yBJyyS9I+lVSd8pRV3WPznorU+SNAY4FQhgZgmOd8A3gTK4HBgLHAOcBnxPUl1ZK7I+y0FvfdUFwNPAzcD8fY2SbgVGA/dJ2iXpe8ATyea3k7bpkhZIelLSdZJ2AJcnbb8uOM9fSNoi6Q1J10g6JDnP5ZJuyzvv/r8aJF1F7k3oh8n5fpj0GS/pYUlvStok6SsH+P3mA1dGxFsRsQH4F2DBQb9a1q856K2vugC4Pfk5S9JRABHxdeAl4NyIGBoR/wjMSPY5Iml7Klk/GdgCHAVc1c55/gqoBSYDs4B/31FhEfH3wP8DFiXnWyRpCPAwcAfwZ8Bc4J8l1RTuL2k48OfA83nNzwMTOjq3WTEOeutzJH2e3JDG3RGxBngB+OpBHOrliPhBROyJiD+20+fqiHgzIl4CrgfmHVTR8JfA1oj4aXK+3wL3AHOK9B2a/Lszr20ncPhBntv6OQe99UXzgdUR8Uayfgd5wzedsK2Tff4AHH0Q54HcG9PJkt7e9wOcD/ybIn13Jf9+Mq/tk8C7B3lu6+d62w0oswOS9AngK8AASa8mzYOAIyRNiojnyd2gzdfeFK1ppm4dBTQly6OBl5Pl94DBef0KA7vw2NuAX0XEGR2dMCLekvQKMInccA/JclP7e5m1z1f01tecB3wI1ACfTX6OJzcmfkHS5zXg03n7tAJ7C9rS+i+ShksaBXwbuCtpXwvMkDRa0jDgkoL9CmtYCRwn6euSDk1+pkg6vp3z/gz478m5xwPfJHfj2azTHPTW18wHfhoRL0XEq/t+gB8C5ycfk/wf5ELybUnfjYj3yd1sfTJpm9aJ8/0fYA25YL8fuAkgIh4mF/rrku0rC/b7J2B28jn/GyLiXeBMcjdhXwZeBa4m99dIMZeRu/fwB+BXwDUR8WAn6jbbT37wiJlZtvmK3sws4xz0ZmYZ56A3M8s4B72ZWcb1us/RH3nkkTFmzJhyl2Fm1qesWbPmjYioLLat1wX9mDFjaGxsLHcZZmZ9iqQ/tLfNQzdmZhnnoDczyzgHvZlZxvW6MXozy4YPPviAlpYW2trayl1KplRUVFBVVcWhhx6aeh8HvZl1i5aWFg4//HDGjBmDpHKXkwkRwY4dO2hpaaG6ujr1fh66MbNu0dbWxogRIxzyJSSJESNGdPqvJAe9mXUbh3zpHcxr6qA3M8u4VGP0kurIza89APhJRHy/YPsMcs/TnAjMjYjledtGAz8h96SeAP4iIraWongz6zvGLL6/pMfb+v1zSnq8YvZ9gfPII4/s9nN1pw6DXtIA4EbgDKAFaJC0IiLW53V7CVgAfLfIIX4GXBURD0saSu5JP2bWVZcP60TfnR33ybiIICI45JD+N5CR5jeeCjRHxJaI2A3cCczK7xARWyNiHQUhLqkGGJg8jYeI2JU87cfMrNtt3bqVcePGccEFF/CZz3yGK6+8kilTpjBx4kQuu+yy/f3OO+88TjrpJCZMmEB9fX0ZK+4eaYZuRpJ7sPE+LcDJKY9/HPC2pHuBauARYHFEfNipKs3MDtLmzZu55ZZbeOedd1i+fDnPPvssEcHMmTN54oknmDFjBsuWLeNTn/oUf/zjH5kyZQpf/vKXGTFiRLlLL5nu/htmIHAquSGdKeQelrygsJOkhZIaJTW2trZ2c0lm1p8cc8wxTJs2jdWrV7N69WpOPPFEJk+ezMaNG9m8eTMAN9xwA5MmTWLatGls27Ztf3tWpLmi307uRuo+VUlbGi3A2ojYAiDpfwPTSB6wvE9E1AP1ALW1tX6IrZmVzJAhQ4DcGP0ll1zCt771rY9sf/zxx3nkkUd46qmnGDx4MF/4whcy923eNFf0DcBYSdWSDiP3FPsVKY/fABwhad8cyV8E1h+gv5lZtzjrrLNYtmwZu3btAmD79u28/vrr7Ny5k+HDhzN48GA2btzI008/XeZKS6/DK/qI2CNpEfAQuY9XLouIJklXAI0RsULSFOCXwHDgXEn/EBETIuJDSd8F/q9yn/JfA/xL9/061p7OfLRta8VX0x/Yn+awlHri45AHcuaZZ7JhwwamT58OwNChQ7ntttuoq6vjRz/6Eccffzzjxo1j2rRpZa2zOyiid42U1NbWhh88UnoO+r4j7f9Wvf1/pw0bNnD88cf3+Hn7g2KvraQ1EVFbrH//+0CpmVk/46A3M8s4B72ZWcY56M3MMs5Bb2aWcQ56M7OM86MEzaxndGa2zVTH6zsf7b3++utZuHAhgwcPTr3P448/ztKlS1m5cmWXz+8rejOzLooI9u5tfwb266+/nvffL9/EvQ56M8usK6+8knHjxvH5z3+eefPmsXTpUl544QXq6uo46aSTOPXUU9m4cSMACxYs4OKLL+Zzn/scn/70p1m+fP/zk7jmmms+Nr1x4RTI27Zt48ILL6S2tpYJEybs73fDDTfw8ssvc9ppp3HaaacBsHr1aqZPn87kyZOZM2fO/mkZHnzwQcaPH8/kyZO59957S/Y6OOjNLJMaGhq45557eP7553nggQfY9437hQsX8oMf/IA1a9awdOlSLrroov37vPLKK/z6179m5cqVLF68GMiF8ubNm3n22WdZu3Yta9as4YknngByUyBfdNFFNDU1ccwxx3DVVVfR2NjIunXr+NWvfsW6deu4+OKLOfroo3nsscd47LHHeOONN1iyZAmPPPIIzz33HLW1tVx77bW0tbXxzW9+k/vuu481a9bw6quvluy18Bi9mWXSk08+yaxZs6ioqKCiooJzzz2XtrY2fvOb3zBnzpz9/f70pz/tXz7vvPM45JBDqKmp4bXXXgP4yPTGALt27WLz5s2MHj16/xTI+9x9993U19ezZ88eXnnlFdavX8/EiRM/UtfTTz/N+vXrOeWUUwDYvXs306dPZ+PGjVRXVzN27FgAvva1r5XsISgOejPrN/bu3csRRxzB2rVri24fNGjQ/uV984C1N73x1q1b90+BDPDiiy+ydOlSGhoaGD58OAsWLCg63XFEcMYZZ/Dzn//8I+3t1VQKHroxs0w65ZRTuO+++2hra2PXrl2sXLmSwYMHU11dzS9+8QsgF7rPP//8AY/T3vTGhd555x2GDBnCsGHDeO2113jggQf2bzv88MN59913AZg2bRpPPvkkzc3NALz33nv8/ve/Z/z48WzdupUXXngB4GNvBF3hK3oz6xk9/HHIKVOmMHPmTCZOnMhRRx3FCSecwLBhw7j99tu58MILWbJkCR988AFz585l0qRJ7R6nvemNBwwY8JF+kyZN4sQTT2T8+PGMGjVq/9AM5O4L1NXV7R+rv/nmm5k3b97+YaMlS5Zw3HHHUV9fzznnnMPgwYM59dRT9785dJWnKe4nPE1x3+Fpiktn165dDB06lPfff58ZM2ZQX1/P5MmTy1pTKXR2mmJf0ZtZZi1cuJD169fT1tbG/PnzMxHyB8NBb2aZdccdd5S7hF4h1c1YSXWSNklqlrS4yPYZkp6TtEfS7CLbPympRdIPS1G0mfUNvW1oOAsO5jXtMOglDQBuBM4GaoB5kmoKur0ELADae/u8Enii09WZWZ9VUVHBjh07HPYlFBHs2LGDioqKTu2XZuhmKtAcEVsAJN0JzALW5518a7LtY5M9SDoJOAp4ECh6o8DMsqeqqoqWlhZaW1vLXUqmVFRUUFVV1al90gT9SGBb3noLcHKag0s6BPifwNeALx2g30JgIcDo0aPTHNrMerlDDz2U6urqcpdhdP8Xpi4CVkVEy4E6RUR9RNRGRG1lZWU3l2Rm1r+kuaLfDozKW69K2tKYDpwq6SJgKHCYpF0R8bEbumZm1j3SBH0DMFZSNbmAnwuk+qZGRJy/b1nSAqDWId+OtA9l8BeUzKyTOhy6iYg9wCLgIWADcHdENEm6QtJMAElTJLUAc4AfS2rqzqLNzCy9VF+YiohVwKqCtkvzlhvIDekc6Bg3Azd3usI+rHPTDnRjIWbWr3n2SjOzjHPQm5llnIPezCzjPKmZ9Xudupfy/XO6sRKz7uErejOzjHPQm5llnIPezCzjHPRmZhnnoDczyzgHvZlZxjnozcwyzkFvZpZxDnozs4xz0JuZZZyD3sws4zzXjVln+Elg1geluqKXVCdpk6RmSR97FKCkGZKek7RH0uy89s9KekpSk6R1kv5dKYs3M7OOdRj0kgYANwJnAzXAPEk1Bd1eAhYAdxS0vw9cEBETgDrgeklHdLFmMzPrhDRDN1OB5ojYAiDpTmAWsH5fh4jYmmzbm79jRPw+b/llSa8DlcDbXS3czKxPSDvcB9025Jdm6GYksC1vvSVp6xRJU4HDgBc6u6+ZmR28HvnUjaQ/B24F/joi9hbZvlBSo6TG1tbWnijJzKzfSBP024FReetVSVsqkj4J3A/8fUQ8XaxPRNRHRG1E1FZWVqY9tJmZpZAm6BuAsZKqJR0GzAVWpDl40v+XwM8iYvnBl2lmZgerw6CPiD3AIuAhYANwd0Q0SbpC0kwASVMktQBzgB9Lakp2/wowA1ggaW3y89nu+EXMzKy4VF+YiohVwKqCtkvzlhvIDekU7ncbcFsXazQzsy7wFAhmZhnnoDczyzgHvZlZxnlSMzNr15jF96fuu/X753RjJdYVDnori7QB4vAw6zoHvZnZQUh9sVLRzYWk4DF6M7OMc9CbmWWcg97MLOMc9GZmGeebsda79YKHNpj1db6iNzPLOF/Rm1lppP3ry3959Thf0ZuZZZyD3sws4xz0ZmYZ56A3M8u4VEEvqU7SJknNkhYX2T5D0nOS9kiaXbBtvqTNyc/8UhVuZmbpdBj0kgYANwJnAzXAPEk1Bd1eAhYAdxTs+yngMuBkYCpwmaThXS/bzMzSSnNFPxVojogtEbEbuBOYld8hIrZGxDpgb8G+ZwEPR8SbEfEW8DBQV4K6zcwspTRBPxLYlrfekrSlkWpfSQslNUpqbG1tTXloMzNLo1fcjI2I+oiojYjaysrKcpdjZpYpaYJ+OzAqb70qaUujK/uamVkJpAn6BmCspGpJhwFzgRUpj/8QcKak4clN2DOTNjMz6yEdBn1E7AEWkQvoDcDdEdEk6QpJMwEkTZHUAswBfiypKdn3TeBKcm8WDcAVSZuZmfWQVJOaRcQqYFVB26V5yw3khmWK7bsMWNaFGs3MrAt6xc1YMzPrPg56M7OMc9CbmWWcg97MLOMc9GZmGeegNzPLOAe9mVnGOejNzDLOQW9mlnEOejOzjHPQm5llnIPezCzjHPRmZhnnoDczyzgHvZlZxjnozcwyzkFvZpZxqYJeUp2kTZKaJS0usn2QpLuS7c9IGpO0HyrpFkm/k7RB0iUlrt/MzDrQYdBLGgDcCJwN1ADzJNUUdPsG8FZEHAtcB1ydtM8BBkXECcBJwLf2vQmYmVnPSHNFPxVojogtEbEbuBOYVdBnFnBLsrwcOF2SgACGSBoIfALYDbxTksrNzCyVNEE/EtiWt96StBXtExF7gJ3ACHKh/x7wCvASsDQi3iw8gaSFkholNba2tnb6lzAzs/Z1983YqcCHwNFANfB3kj5d2Cki6iOiNiJqKysru7kkM7P+JU3QbwdG5a1XJW1F+yTDNMOAHcBXgQcj4oOIeB14EqjtatFmZpZemqBvAMZKqpZ0GDAXWFHQZwUwP1meDTwaEUFuuOaLAJKGANOAjaUo3MzM0ukw6JMx90XAQ8AG4O6IaJJ0haSZSbebgBGSmoHvAPs+gnkjMFRSE7k3jJ9GxLpS/xJmZta+gWk6RcQqYFVB26V5y23kPkpZuN+uYu1mZtZz/M1YM7OMc9CbmWWcg97MLOMc9GZmGeegNzPLOAe9mVnGOejNzDLOQW9mlnEOejOzjHPQm5llnIPezCzjHPRmZhnnoDczyzgHvZlZxjnozcwyzkFvZpZxqYJeUp2kTZKaJS0usn2QpLuS7c9IGpO3baKkpyQ1SfqdpIoS1m9mZh3oMOglDSD3SMCzgRpgnqSagm7fAN6KiGOB64Crk30HArcB/yEiJgBfAD4oWfVmZtahNFf0U4HmiNgSEbuBO4FZBX1mAbcky8uB0yUJOBNYFxHPA0TEjoj4sDSlm5lZGmmCfiSwLW+9JWkr2id5mPhOYARwHBCSHpL0nKTvFTuBpIWSGiU1tra2dvZ3MDOzA+jum7EDgc8D5yf//pWk0ws7RUR9RNRGRG1lZWU3l2Rm1r+kCfrtwKi89aqkrWifZFx+GLCD3NX/ExHxRkS8D6wCJne1aDMzSy9N0DcAYyVVSzoMmAusKOizApifLM8GHo2IAB4CTpA0OHkD+LfA+tKUbmZmaQzsqENE7JG0iFxoDwCWRUSTpCuAxohYAdwE3CqpGXiT3JsBEfGWpGvJvVkEsCoi7u+m38XMzIroMOgBImIVuWGX/LZL85bbgDnt7HsbuY9YmplZGfibsWZmGeegNzPLOAe9mVnGOejNzDLOQW9mlnEOejOzjHPQm5llnIPezCzjHPRmZhmX6puxmXT5sE703dl9dZiZdTNf0ZuZZVzmrujHLE43Z9pWP7nWzPoJX9GbmWWcg97MLOMc9GZmGeegNzPLOAe9mVnGpQp6SXWSNklqlrS4yPZBku5Ktj8jaUzB9tGSdkn6bonqNjOzlDoMekkDgBuBs4EaYJ6kmoJu3wDeiohjgeuAqwu2Xws80PVyzcyss9Jc0U8FmiNiS0TsBu4EZhX0mQXckiwvB06XJABJ5wEvAk0lqdjMzDolTdCPBLblrbckbUX7RMQeYCcwQtJQ4L8C/3CgE0haKKlRUmNra2va2s3MLIXuvhl7OXBdROw6UKeIqI+I2oiorays7OaSzMz6lzRTIGwHRuWtVyVtxfq0SBoIDAN2ACcDsyX9I3AEsFdSW0T8sKuFm5lZOmmCvgEYK6maXKDPBb5a0GcFMB94CpgNPBoRAZy6r4Oky4FdDnkzs57VYdBHxB5Ji4CHgAHAsohoknQF0BgRK4CbgFslNQNvknszMDOzXiDV7JURsQpYVdB2ad5yGzCng2NcfhD1mZl1np838RH+ZqyZWcY56M3MMs5Bb2aWcQ56M7OMy9yjBM0sm9I+JhT8qNBCvqI3M8s4B72ZWcY56M3MMs5Bb2aWcQ56M7OMc9CbmWWcg97MLOMc9GZmGeegNzPLOAe9mVnGOejNzDIuVdBLqpO0SVKzpMVFtg+SdFey/RlJY5L2MyStkfS75N8vlrh+MzPrQIdBL2kAcCNwNlADzJNUU9DtG8BbEXEscB1wddL+BnBuRJxA7pmyt5aqcDMzSyfNFf1UoDkitkTEbuBOYFZBn1nALcnycuB0SYqI30bEy0l7E/AJSYNKUbiZmaWTJuhHAtvy1luStqJ9ImIPsBMYUdDny8BzEfGnwhNIWiipUVJja2tr2trNzCyFHrkZK2kCueGcbxXbHhH1EVEbEbWVlZU9UZKZWb+RJui3A6Py1quStqJ9JA0EhgE7kvUq4JfABRHxQlcLNjOzzkkT9A3AWEnVkg4D5gIrCvqsIHezFWA28GhEhKQjgPuBxRHxZIlqNjOzTugw6JMx90XAQ8AG4O6IaJJ0haSZSbebgBGSmoHvAPs+grkIOBa4VNLa5OfPSv5bmJlZu1I9MzYiVgGrCtouzVtuA+YU2W8JsKSLNZqZWRf4m7FmZhnnoDczyzgHvZlZxjnozcwyzkFvZpZxDnozs4xz0JuZZZyD3sws4xz0ZmYZ56A3M8s4B72ZWcY56M3MMs5Bb2aWcQ56M7OMc9CbmWWcg97MLOMc9GZmGZcq6CXVSdokqVnS4iLbB0m6K9n+jKQxedsuSdo3STqrhLWbmVkKHQa9pAHAjcDZQA0wT1JNQbdvAG9FxLHAdcDVyb415B4mPgGoA/45OZ6ZmfWQNFf0U4HmiNgSEbuBO4FZBX1mAbcky8uB0yUpab8zIv4UES8CzcnxzMyshygiDtxBmg3URcTfJOtfB06OiEV5ff416dOSrL8AnAxcDjwdEbcl7TcBD0TE8oJzLAQWJqvjgE1d/9U6dCTwRg+cpy/ya9M+vzbt82tTXE+9LsdERGWxDQN74OQdioh6oL4nzympMSJqe/KcfYVfm/b5tWmfX5viesPrkmboZjswKm+9Kmkr2kfSQGAYsCPlvmZm1o3SBH0DMFZStaTDyN1cXVHQZwUwP1meDTwauTGhFcDc5FM51cBY4NnSlG5mZml0OHQTEXskLQIeAgYAyyKiSdIVQGNErABuAm6V1Ay8Se7NgKTf3cB6YA/wtxHxYTf9Lp3Vo0NFfYxfm/b5tWmfX5viyv66dHgz1szM+jZ/M9bMLOMc9GZmGdcvg76jKR36K0mjJD0mab2kJknfLndNvYmkAZJ+K2lluWvpTSQdIWm5pI2SNkiaXu6aegtJ/zn5b+lfJf1cUkU56uh3QZ9ySof+ag/wdxFRA0wD/tavzUd8G9hQ7iJ6oX8CHoyI8cAk/BoBIGkkcDFQGxGfIfdhlrnlqKXfBT3ppnTolyLilYh4Lll+l9x/sCPLW1XvIKkKOAf4Sblr6U0kDQNmkPvkHRGxOyLeLmtRvctA4BPJ94sGAy+Xo4j+GPQjgW156y04zD4mmYH0ROCZMpfSW1wPfA/YW+Y6eptqoBX4aTKs9RNJQ8pdVG8QEduBpcBLwCvAzohYXY5a+mPQWwckDQXuAf5TRLxT7nrKTdJfAq9HxJpy19ILDQQmA/8rIk4E3gN83wuQNJzcaEE1cDQwRNLXylFLfwx6T8twAJIOJRfyt0fEveWup5c4BZgpaSu5ob4vSrqtvCX1Gi1AS0Ts+8tvObngN/gS8GJEtEbEB8C9wOfKUUh/DPo0Uzr0S8nU0jcBGyLi2nLX01tExCURURURY8j9/+XRiCjLlVlvExGvAtskjUuaTif3TXjLDdlMkzQ4+W/rdMp0o7pXzF7Zk9qb0qHMZfUWpwBfB34naW3S9t8iYlX5SrI+4D8CtycXTluAvy5zPb1CRDwjaTnwHLlPtP2WMk2H4CkQzMwyrj8O3ZiZ9SsOejOzjHPQm5llnIPezCzjHPRmZhnnoDczyzgHvZlZxv1/Xol9hSW3ruAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEICAYAAABPgw/pAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAaO0lEQVR4nO3de5RV5Z3m8e8jXmpQghcqJgpYZTeKqKBYKHiLTtSUOoKzjA4kRlljW4k2rWvS0zM4ZqntZSZGxtgaekyNTeskKlGS6S4RI5rWMKIoRYJELkKJtBTeSmJUNAi0v/njbOhDearOLjh14eX5rHWWe7/7PXv/OJQP+7x777cUEZiZ2a5vj94uwMzMKsOBbmaWCAe6mVkiHOhmZolwoJuZJcKBbmaWCAe67VYkfVPS3KL1kPSnvVmTWaU40K1Pk/SspPcl7dOufY2ks4rWa7Jw3rOz/UXEgxFxTgVr+7OdeP80SaskfSRphaTLKlGX7b4c6NZnSaoBTgMCGF+B/XUa9r3gY+ACYCBwOfA3kk7u3ZJsV+ZAt77sMmABcD+FwANA0k+AocBjkjZI+i/AvGzzH7K2cZImS5ov6YeS1gM3ZW3PtTvOeZJWS3pP0h2S9siOc5OknxYdd9u3AEm3UfjH5kfZ8X6U9Rku6SlJv5f0qqRLOvrDRcSNEbEiIj6LiBeB/weM27mPzHZnDnTryy4DHsxeX5N0MEBEfAt4A7ggIvaLiB8Ap2fv2T9reyFbPwlYDRwM3NbBcf49UAeMBiYA/7FcYRFxPYUAnpIdb4qkfYGngIeALwITgb+VNKLc/iT9G2AMsLRcX7OOONCtT5J0KnAY8EhELAJeA76xA7t6MyLuiYgtEfHHDvrcHhG/j4g3gLuASTtUNPw7YE1E/H12vN8CPwcuzvHee4GXgSd38NhmDnTrsy4H5kbEe9n6QxQNu3TB2i72+WfgkB04DhT+ATpJ0h+2voBvAl/q7E2S7gCOAS4Jz5ZnO6GvXSQy2zr8cAnQT9LbWfM+wP6SRkXEyxQulBbrKAjzBOQQ/nWoYyjwZrb8MdC/qF/7YG6/77XAryPi7BzHBEDSXwPnAl+JiA/zvs+sFJ+hW190IfAvwAjguOx1FIUx66239r0DHF70njbgs3Ztef2VpAMkDQGuBX6WtS8GTpc0VNJA4Lp272tfw2zgCEnfkrRX9hoj6ahSB5V0HYVhpLMiYv0O1G22HQe69UWXA38fEW9ExNtbX8CPgG9mtx/+D+B72dDGf46ITyhc9JyftY3twvH+EVhEIcAfB/4OICKeohDuS7Lts9u972+Ar2f3yd8dER8B51C4GPom8DZwO4VvF6X8dwrfCFqyO2U2SPpvXajbbDvykJ2ZWRp8hm5mlggHuplZIhzoZmaJcKCbmSUi133okuopXNHvB9wXEd9vt30o8ACwf9ZnakTM6WyfgwYNipqamh0o2cxs97Vo0aL3IqK61LaygS6pHzAdOBtoBRZKaoqIZUXdvkfhEe3/lc1bMQeo6Wy/NTU1NDc35/wjmJkZgKR/7mhbniGXE4GWiFgdEZuAmRQmMCoWwBey5YH865N2ZmbWQ/IE+qFsP9dFa9ZW7CbgUkmtFM7O/6LUjiQ1SGqW1NzW1rYD5ZqZWUcqdVF0EnB/RAwGzgN+snVO6WIR0RgRdRFRV11dcgjIzMx2UJ6LousoTF601eCsrdgVQD1ARLwgqQoYBLxbiSLNrG/avHkzra2tbNy4sbdLSU5VVRWDBw9mr732yv2ePIG+EBgmqZZCkE/k8/NSvwF8Fbg/m4ioisJkSWaWsNbWVgYMGEBNTQ2SerucZEQE69evp7W1ldra2tzvKzvkEhFbgCkUJt5fTuFulqWSbpa09fc8/iVwpaSXgYeByZ7X2Sx9Gzdu5KCDDnKYV5gkDjrooC5/88l1H3p2T/mcdm03FC0vA07p0pHNLAkO8+6xI5+rnxQ1M0uEf2ORmVVMzdTHK7q/Nd8/v6L7K2XrQ46DBg3q9mN1Nwd6X3XTwN6uoPvd9EFvV2CJiQgigj322D0HH3bPP7WZJWPNmjUceeSRXHbZZRxzzDHccsstjBkzhpEjR3LjjTdu63fhhRdywgkncPTRR9PY2NiLFXcfn6Gb2S5v1apVPPDAA3z44YfMmjWLl156iYhg/PjxzJs3j9NPP50ZM2Zw4IEH8sc//pExY8Zw0UUXcdBBB/V26RXlM3Qz2+UddthhjB07lrlz5zJ37lyOP/54Ro8ezYoVK1i1ahUAd999N6NGjWLs2LGsXbt2W3tKdskz9EpfeOmL1lT1dgVmu459990XKIyhX3fddXz729/ebvuzzz7L008/zQsvvED//v0544wzkny61WfoZpaMr33ta8yYMYMNGzYAsG7dOt59910++OADDjjgAPr378+KFStYsGBBL1faPXbJM3Qz65t64jbDzpxzzjksX76ccePGAbDffvvx05/+lPr6eu69916OOuoojjzySMaOHdurdXYXB7qZ7dJqamp45ZVXtq1fe+21XHvttZ/r98QTT5R8/5o1a7qrtB7nIRczs0Q40M3MEuFANzNLhAPdzCwRDnQzs0Q40M3MEuHbFs2scio9S+guNiPnXXfdRUNDA/3798/9nmeffZZp06Yxe/bsnT6+z9DNzHKKCD777LMOt99111188sknPVjR9nIFuqR6Sa9KapE0tcT2H0panL1WSvpDxSs1M+vALbfcwpFHHsmpp57KpEmTmDZtGq+99hr19fWccMIJnHbaaaxYsQKAyZMnc80113DyySdz+OGHM2vWrG37ueOOOz439W776XnXrl3LVVddRV1dHUcfffS2fnfffTdvvvkmZ555JmeeeSYAc+fOZdy4cYwePZqLL75425QEv/zlLxk+fDijR4/mF7/4RcU+h7KBLqkfMB04FxgBTJI0orhPRPyniDguIo4D7gEqV6GZWScWLlzIz3/+c15++WWeeOIJmpubAWhoaOCee+5h0aJFTJs2jauvvnrbe9566y2ee+45Zs+ezdSphXPUuXPnsmrVKl566SUWL17MokWLmDdvHlCYnvfqq69m6dKlHHbYYdx22200NzezZMkSfv3rX7NkyRKuueYaDjnkEJ555hmeeeYZ3nvvPW699VaefvppfvOb31BXV8edd97Jxo0bufLKK3nsscdYtGgRb7/9dsU+izxj6CcCLRGxGkDSTGACsKyD/pOAGzvYZmZWUfPnz2fChAlUVVVRVVXFBRdcwMaNG3n++ee5+OKLt/X79NNPty1feOGF7LHHHowYMYJ33nkHYLupdwE2bNjAqlWrGDp06Lbpebd65JFHaGxsZMuWLbz11lssW7aMkSNHblfXggULWLZsGaeccgoAmzZtYty4caxYsYLa2lqGDRsGwKWXXlqxX7iRJ9APBdYWrbcCJ5XqKOkwoBb4pw62NwANAEOHDu1SoWZmeX322Wfsv//+LF68uOT2ffbZZ9tyRGz7b6mpd9esWbNtel6A119/nWnTprFw4UIOOOAAJk+eXHIq3ojg7LPP5uGHH96uvaOaKqHSF0UnArMi4l9KbYyIxoioi4i66urqCh/azHZHp5xyCo899hgbN25kw4YNzJ49m/79+1NbW8ujjz4KFML15Zdf7nQ/HU29296HH37Ivvvuy8CBA3nnnXe2m/RrwIABfPTRRwCMHTuW+fPn09LSAsDHH3/MypUrGT58OGvWrOG1114D+Fzg74w8Z+jrgCFF64OztlImAn++s0WZ2S6qF24zHDNmDOPHj2fkyJEcfPDBHHvssQwcOJAHH3yQq666iltvvZXNmzczceJERo0a1eF+Opp6t1+/ftv1GzVqFMcffzzDhw9nyJAh24ZUoDBuX19fv20s/f7772fSpEnbhntuvfVWjjjiCBobGzn//PPp378/p5122rZ/BHaWtn7d6LCDtCewEvgqhSBfCHwjIpa26zcc+CVQG+V2CtTV1cXWixddtXv8xqJv9HYJ3W8Xu8fYPm/58uUcddRRvV0GGzZsYL/99uOTTz7h9NNPp7GxkdGjR/d2WTut1OcraVFE1JXqX/YMPSK2SJoCPAn0A2ZExFJJNwPNEdGUdZ0IzMwT5mZmldTQ0MCyZcvYuHEjl19+eRJhviNyPSkaEXOAOe3abmi3flPlyjIzy++hhx7q7RL6BD8pamY7xV/Ku8eOfK4OdDPbYVVVVaxfv96hXmERwfr166mqqurS+zw5l5ntsMGDB9Pa2kpbW1tvl5KcqqoqBg8e3KX3ONDNbIfttdde1NbW9nYZlvGQi5lZIhzoZmaJcKCbmSXCgW5mlggHuplZIhzoZmaJcKCbmSXCgW5mlggHuplZIhzoZmaJcKCbmSXCgW5mlggHuplZIhzoZmaJyBXokuolvSqpRdLUDvpcImmZpKWS/PugzMx6WNn50CX1A6YDZwOtwEJJTRGxrKjPMOA64JSIeF/SF7urYDMzKy3PGfqJQEtErI6ITcBMYEK7PlcC0yPifYCIeLeyZZqZWTl5Av1QYG3RemvWVuwI4AhJ8yUtkFRfakeSGiQ1S2r2r6wyM6usSl0U3RMYBpwBTAL+t6T923eKiMaIqIuIuurq6god2szMIF+grwOGFK0PztqKtQJNEbE5Il4HVlIIeDMz6yF5An0hMExSraS9gYlAU7s+/0Dh7BxJgygMwayuXJlmZlZO2UCPiC3AFOBJYDnwSEQslXSzpPFZtyeB9ZKWAc8AfxUR67uraDMz+7yyty0CRMQcYE67thuKlgP4bvYyM7Ne4CdFzcwS4UA3M0uEA93MLBEOdDOzRDjQzcwS4UA3M0uEA93MLBEOdDOzRDjQzcwS4UA3M0uEA93MLBEOdDOzRDjQzcwS4UA3M0uEA93MLBEOdDOzRDjQzcwSkSvQJdVLelVSi6SpJbZPltQmaXH2+rPKl2pmZp0p+yvoJPUDpgNnA63AQklNEbGsXdefRcSUbqjRzMxyyHOGfiLQEhGrI2ITMBOY0L1lmZlZV+UJ9EOBtUXrrVlbexdJWiJplqQhFanOzMxyq9RF0ceAmogYCTwFPFCqk6QGSc2Smtva2ip0aDMzg3yBvg4oPuMenLVtExHrI+LTbPU+4IRSO4qIxoioi4i66urqHanXzMw6kCfQFwLDJNVK2huYCDQVd5D05aLV8cDyypVoZmZ5lL3LJSK2SJoCPAn0A2ZExFJJNwPNEdEEXCNpPLAF+D0wuRtrNjOzEsoGOkBEzAHmtGu7oWj5OuC6ypZmZmZd4SdFzcwS4UA3M0uEA93MLBEOdDOzRDjQzcwS4UA3M0uEA93MLBEOdDOzRDjQzcwS4UA3M0uEA93MLBEOdDOzRDjQzcwS4UA3M0uEA93MLBEOdDOzRDjQzcwS4UA3M0tErkCXVC/pVUktkqZ20u8iSSGprnIlmplZHmUDXVI/YDpwLjACmCRpRIl+A4BrgRcrXaSZmZWX5wz9RKAlIlZHxCZgJjChRL9bgNuBjRWsz8zMcsoT6IcCa4vWW7O2bSSNBoZExOOd7UhSg6RmSc1tbW1dLtbMzDq20xdFJe0B3An8Zbm+EdEYEXURUVddXb2zhzYzsyJ5An0dMKRofXDWttUA4BjgWUlrgLFAky+Mmpn1rDyBvhAYJqlW0t7ARKBp68aI+CAiBkVETUTUAAuA8RHR3C0Vm5lZSWUDPSK2AFOAJ4HlwCMRsVTSzZLGd3eBZmaWz555OkXEHGBOu7YbOuh7xs6XZWZmXeUnRc3MEuFANzNLhAPdzCwRDnQzs0Q40M3MEuFANzNLhAPdzCwRDnQzs0Q40M3MEuFANzNLhAPdzCwRDnQzs0Q40M3MEuFANzNLhAPdzCwRDnQzs0Q40M3MEuFANzNLRK5Al1Qv6VVJLZKmltj+HUm/k7RY0nOSRlS+VDMz60zZQJfUD5gOnAuMACaVCOyHIuLYiDgO+AFwZ6ULNTOzzuU5Qz8RaImI1RGxCZgJTCjuEBEfFq3uC0TlSjQzszz2zNHnUGBt0XorcFL7TpL+HPgusDfwb0vtSFID0AAwdOjQrtZqZmadqNhF0YiYHhF/AvxX4Hsd9GmMiLqIqKuurq7Uoc3MjHyBvg4YUrQ+OGvryEzgwp2oyczMdkCeQF8IDJNUK2lvYCLQVNxB0rCi1fOBVZUr0czM8ig7hh4RWyRNAZ4E+gEzImKppJuB5ohoAqZIOgvYDLwPXN6dRZuZ2efluShKRMwB5rRru6Fo+doK12VmZl3kJ0XNzBLhQDczS4QD3cwsEQ50M7NEONDNzBLhQDczS4QD3cwsEQ50M7NEONDNzBKR60lRM+sbaqY+3tsldLs13z+/t0vYZfkM3cwsEQ50M7NEONDNzBLhQDczS4QvippZ33LTwN6uoPvd9EG37NZn6GZmiXCgm5klwoFuZpaIXIEuqV7Sq5JaJE0tsf27kpZJWiLpV5IOq3ypZmbWmbKBLqkfMB04FxgBTJI0ol233wJ1ETESmAX8oNKFmplZ5/KcoZ8ItETE6ojYBMwEJhR3iIhnIuKTbHUBMLiyZZqZWTl5Av1QYG3RemvW1pErgCdKbZDUIKlZUnNbW1v+Ks3MrKyKXhSVdClQB9xRantENEZEXUTUVVdXV/LQZma7vTwPFq0DhhStD87atiPpLOB64CsR8WllyjMzs7zynKEvBIZJqpW0NzARaCruIOl44MfA+Ih4t/JlmplZOWUDPSK2AFOAJ4HlwCMRsVTSzZLGZ93uAPYDHpW0WFJTB7szM7Nukmsul4iYA8xp13ZD0fJZFa7LzMy6yE+KmpklwoFuZpYIB7qZWSIc6GZmiXCgm5klwoFuZpYIB7qZWSIc6GZmiXCgm5klwoFuZpYIB7qZWSIc6GZmiXCgm5klwoFuZpYIB7qZWSIc6GZmiXCgm5klwoFuZpaIXIEuqV7Sq5JaJE0tsf10Sb+RtEXS1ytfppmZlVM20CX1A6YD5wIjgEmSRrTr9gYwGXio0gWamVk+eX5J9IlAS0SsBpA0E5gALNvaISLWZNs+64YazcwshzxDLocCa4vWW7O2LpPUIKlZUnNbW9uO7MLMzDrQoxdFI6IxIuoioq66uronD21mlrw8gb4OGFK0PjhrMzOzPiRPoC8EhkmqlbQ3MBFo6t6yzMysq8oGekRsAaYATwLLgUciYqmkmyWNB5A0RlIrcDHwY0lLu7NoMzP7vDx3uRARc4A57dpuKFpeSGEoxszMeomfFDUzS4QD3cwsEQ50M7NEONDNzBLhQDczS4QD3cwsEQ50M7NEONDNzBLhQDczS4QD3cwsEQ50M7NEONDNzBLhQDczS4QD3cwsEQ50M7NEONDNzBLhQDczS4QD3cwsEbkCXVK9pFcltUiaWmL7PpJ+lm1/UVJNxSs1M7NOlQ10Sf2A6cC5wAhgkqQR7bpdAbwfEX8K/BC4vdKFmplZ5/KcoZ8ItETE6ojYBMwEJrTrMwF4IFueBXxVkipXppmZlbNnjj6HAmuL1luBkzrqExFbJH0AHAS8V9xJUgPQkK1ukPTqjhRdYYNoV2dfoD5aF5Ws668r+m9++p9X5fXJ2vyzX9ZhHW3IE+gVExGNQGNPHrMcSc0RUdfbdbTnurrGdXVdX63Nde24PEMu64AhReuDs7aSfSTtCQwE1leiQDMzyydPoC8EhkmqlbQ3MBFoatenCbg8W/468E8REZUr08zMyik75JKNiU8BngT6ATMiYqmkm4HmiGgC/g74iaQW4PcUQn9X0aeGgIq4rq5xXV3XV2tzXTtIPpE2M0uDnxQ1M0uEA93MLBG7XaBLOlDSU5JWZf89oESf4yS9IGmppCWS/kM31tMnp1XIUdd3JS3LPp9fSerw3tierKuo30WSQlKP3GaWpy5Jl2Sf2VJJD/WFuiQNlfSMpN9mf5fn9VBdMyS9K+mVDrZL0t1Z3Uskje4jdX0zq+d3kp6XNKon6sotInarF/ADYGq2PBW4vUSfI4Bh2fIhwFvA/t1QSz/gNeBwYG/gZWBEuz5XA/dmyxOBn/XAZ5SnrjOB/tnyVX2lrqzfAGAesACo6wt1AcOA3wIHZOtf7CN1NQJXZcsjgDXdXVd2rNOB0cArHWw/D3gCEDAWeLGP1HVy0d/huT1VV97XbneGzvbTFDwAXNi+Q0SsjIhV2fKbwLtAdTfU0lenVShbV0Q8ExGfZKsLKDyf0N3yfF4At1CYT2hjD9SUt64rgekR8T5ARLzbR+oK4AvZ8kDgzR6oi4iYR+GOuI5MAP5PFCwA9pf05d6uKyKe3/p3SM/93Oe2Owb6wRHxVrb8NnBwZ50lnUjh7Oa1bqil1LQKh3bUJyK2AFunVehOeeoqdgWFs6nuVrau7Kv5kIh4vAfqyV0XhW99R0iaL2mBpPo+UtdNwKWSWoE5wF/0QF15dPVnsDf01M99bj366H9PkfQ08KUSm64vXomIkNThfZvZGcFPgMsj4rPKVpkGSZcCdcBX+kAtewB3ApN7uZRS9qQw7HIGhbO6eZKOjYg/9GZRwCTg/oj4n5LGUXie5Bj/vHdO0pkUAv3U3q6lWJKBHhFndbRN0juSvhwRb2WBXfKrr6QvAI8D12df+bpDV6ZVaO3BaRXy1IWksyj8I/mViPi0m2vKU9cA4Bjg2WxU6ktAk6TxEdHci3VB4QzzxYjYDLwuaSWFgF/Yy3VdAdQDRMQLkqooTELVE0NCncn1M9gbJI0E7gPOjYg+NcXJ7jjkUjxNweXAP7bvkE1x8H8pjOHN6sZa+uq0CmXrknQ88GNgfA+NB5etKyI+iIhBEVETETUUxji7O8zL1pX5Bwpn50gaRGEIZnUfqOsN4KtZXUcBVUBbN9eVRxNwWXa3y1jgg6Kh0l4jaSjwC+BbEbGyt+v5nN6+KtvTLwrjz78CVgFPAwdm7XXAfdnypcBmYHHR67huquc8YCWFMfrrs7abKQQRFP4HexRoAV4CDu+hz6lcXU8D7xR9Pk19oa52fZ+lB+5yyfl5icJw0DLgd8DEPlLXCGA+hTtgFgPn9FBdD1O4e2wzhW8vVwDfAb5T9HlNz+r+XQ/+PZar6z7g/aKf++aeqCvvy4/+m5klYncccjEzS5ID3cwsEQ50M7NEONDNzBLhQDczS4QD3cwsEQ50M7NE/H8/sRSqxSEj4wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Attribute comparison\n",
    "for i in range(3):\n",
    "    real_probs = np.bincount(wwt_attributes[:,i]) / len(wwt_attributes)\n",
    "    generated_probs = np.bincount(attributes[:,i]) / len(attributes)\n",
    "    plt.bar(np.arange(len(real_probs)) - 0.15, real_probs, width=0.3, label=\"real\")\n",
    "    plt.bar(np.arange(len(generated_probs)) + 0.15, generated_probs, width=0.3, label=\"generated\")\n",
    "    plt.legend()\n",
    "    plt.title(\"Attribute {}\".format(i))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "638d9f27",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Feature comparison via autocovariance\n",
    "generated_autocov = dg.autocovariance(features)\n",
    "\n",
    "plt.plot(real_autocov, label=\"real\")\n",
    "plt.plot(generated_autocov, label=\"generated\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ee328330",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Feature comparison side-by-side\n",
    "\n",
    "num_samples = 3\n",
    "\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "ax1 = fig.add_subplot(1, 2, 1)\n",
    "ax1.set_title(\"Generated\")\n",
    "for index, sample in enumerate(random.sample(range(len(features)), num_samples)):\n",
    "    ax1.plot(features[sample,:,0], label=\"generated sample {}\".format(index))\n",
    "ax1.legend()\n",
    "\n",
    "ax2 = fig.add_subplot(1, 2, 2)\n",
    "ax2.set_title(\"Real\")\n",
    "for index, sample in enumerate(random.sample(range(len(wwt_features)), num_samples)):\n",
    "    ax2.plot(wwt_features[sample,:,0], label=\"real sample {}\".format(index))\n",
    "ax2.legend()\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}