attentive-neural-processes/smartmeters.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This notebook uses pytorch lightning & optuna & a Recurrent Attentive Neural Process for Sequential Data (RANPfSQ)\n",
    "\n",
    "This notebook trains an Attentional Neural Network on timeseries data from smartmeters.\n",
    "\n",
    "It uses pytorch lighting for the training loop. And Optuna for the hyperparameter optimisation.\n",
    "\n",
    "It also pushes results to the tensorboard hyperparameter dashboard for examination.\n",
    "\n",
    "- https://github.com/optuna/optuna/blob/master/examples/pytorch_lightning_simple.py\n",
    "\n",
    "- similar to https://arxiv.org/abs/1910.09323"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-15T11:09:58.775974Z",
     "start_time": "2020-02-15T11:09:43.765111Z"
    }
   },
   "source": [
    "Results on *Smartmeter* prediction\n",
    "\n",
    "|Model|val_loss|\n",
    "|--|--| \n",
    "|ANP-RNN|-1.27|\n",
    "|ANP-RNN_imp|-1.38|\n",
    "|ANP|-1.3|\n",
    "|ANP_impr|-1.2|\n",
    "|NP|-1.3|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:51:06.758301Z",
     "start_time": "2020-07-05T02:51:04.317104Z"
    }
   },
   "outputs": [],
   "source": [
    "import sys, re, os, itertools, functools, collections\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import collections\n",
    "from pathlib import Path\n",
    "from tqdm.auto import tqdm\n",
    "\n",
    "import optuna\n",
    "import pytorch_lightning as pl\n",
    "from optuna.integration import PyTorchLightningPruningCallback\n",
    "\n",
    "\n",
    "import math\n",
    "%matplotlib inline\n",
    "%reload_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:51:06.807584Z",
     "start_time": "2020-07-05T02:51:06.761400Z"
    }
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch import nn\n",
    "import torch.nn.functional as F"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:51:07.430437Z",
     "start_time": "2020-07-05T02:51:06.809724Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/core/decorators.py:13: UserWarning:\n",
      "\n",
      "data_loader decorator deprecated in 0.7.0. Will remove 0.9.0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "\n",
    "from neural_processes.data.smart_meter import collate_fns, SmartMeterDataSet, get_smartmeter_df\n",
    "from neural_processes.plot import plot_from_loader\n",
    "\n",
    "from neural_processes.dict_logger import DictLogger\n",
    "from neural_processes.utils import PyTorchLightningPruningCallback\n",
    "from neural_processes.train import main, objective, add_number, run_trial\n",
    "\n",
    "from neural_processes.models.neural_process.lightning import PL_NP, PL_ANP, PL_ANPRNN\n",
    "\n",
    "from neural_processes.models.transformer import PL_Transformer\n",
    "from neural_processes.models.transformer_seq2seq import TransformerSeq2Seq_PL\n",
    "\n",
    "from neural_processes.models.lstm_seqseq import LSTMSeq2Seq_PL\n",
    "from neural_processes.models.lstm_std import LSTM_PL_STD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:51:07.482283Z",
     "start_time": "2020-07-05T02:51:07.432740Z"
    }
   },
   "outputs": [],
   "source": [
    "# Params\n",
    "device='cuda'\n",
    "use_logy=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:51:07.537649Z",
     "start_time": "2020-07-05T02:51:07.484932Z"
    }
   },
   "outputs": [],
   "source": [
    "import logging\n",
    "logging.basicConfig(stream=sys.stdout, level=logging.INFO)\n",
    "logger = logging.getLogger(\"RANP2.ipynb\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load kaggle smart meter data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:51:08.045520Z",
     "start_time": "2020-07-05T02:51:07.541758Z"
    }
   },
   "outputs": [],
   "source": [
    "df_train, df_val, df_test = get_smartmeter_df(\n",
    "#     indir=Path('./data/smart-meters-in-london'), \n",
    "#     use_logy=False, \n",
    "#     max_files=40\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:51:08.140591Z",
     "start_time": "2020-07-05T02:51:08.048532Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[torch.Size([1, 4, 17]),\n",
       " torch.Size([1, 4, 1]),\n",
       " torch.Size([1, 8, 17]),\n",
       " torch.Size([1, 8, 1])]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train = SmartMeterDataSet(\n",
    "    df_train, 10, 20)\n",
    "b = data_train[10]\n",
    "b = collate_fns(10, 20, sample=True)([b])\n",
    "[bb.shape for bb in b]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:51:11.745171Z",
     "start_time": "2020-07-05T02:51:08.142968Z"
    }
   },
   "outputs": [
    {
     "data": {
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\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": 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PRGRUC0POA15QVQUWikgvERkMnADMUtUSABGZhdNB9pUY5DUMwzA6gFgUxOGqul8nXX8osDPkdY67rbntEYjIVcBVACNGjOgcKQ3DML6DxBKDmC8iB3S6JO1EVZ9S1SxVzerfv39Xi2MYhvGtIRYL4kictSC24sQgBNAOSnPNxWkfHmCYuy0Xx80Uun1uB1zPMAzDiJFYFERnrh73DnCNiEzDCVKXq+ouEfkI+LuI9HbHnQbc0olyGIZhGE2IaT2I9p5cRF7BsQT6iUgOTmZSonveJ4CZwFRgE1CDExBHVUtE5C5gkXuqOwMBa8MwDGPPEIsF0W5U9ZJW9itwdTP7ngWe7Qy5DMMwjNaxtaUNwzCMqMSsIEQkXUTiO1MYwzAMo/vQrIIQkTgR+ZGIvC8iBcB6YJeIrBWR+0Rknz0npmEYhrGnacmCmAOMxckeGqSqw1V1ADAFWAj8Q0Qu3QMyGoZhGF1AS0HqU1S1oelGN5voDeANEUnsNMkMwzCMLqVZBRGqHNzYw0DC14PYEU2BGIZhGN8OYlkw6Fqc+oXdhDfrswWDDMMwvsXEUgfxW2A/VS3ubGEMwzCM7kMsaa47gfLOFsQwDMPoXjRrQYjIDe7TLcBcEXmf8AWDHuxk2QzDMIwupCUXU6b7d4f7SHIfhmEYxneAlrKY7tiTghiGYRjdi1iymPYFfg+MIjzN9aTOE+vbyfKC5SzKX8SVB12JiHS1OIZhGC0SSxbT68ATwDOAr3PF+XazePdiHln2CD+Z8BOS45O7WhzDMIwWiUVBeFX18U6X5DtAQCnU++pNQRiG0e1pqVlfHxHpA7wrIr8RkcGBbe52o40EFYS3vpWRhmEYXU9LFsSSJq9vCnmuwJiOF+fbTVK8kwRW7zMFYRhG96clBTFFVXP3mCTfAVLiUwBTEIZh7B20VEn9tIgsFJF7ROQEEWnz8qQicoaIZIvIJhG5Ocr+h0RkufvYICJlIft8Ifveaeu1uyNmQRiGsTfRUh3EVBFJAU4AvgfcLyI7gA+BD1V1R0sndjvAPgacCuQAi0TkHVVdG3KN60PGXwscEnKKWlWd1Pa31H0JWBAen6eLJTEMw2idFq0CVa3DVQgAIjIaOBN4VEQGqerkFg6fDGxS1S3usdOA84C1zYy/BKdr7LeWgAVR56vrYkkMwzBaJ+Y1qQFUdauq/ltVz8VZWa4lhuI0+guQ426LQERGAqOB2SGbU0RksevmOr8tcnZXAllMZkEYhrE3EEsl9feBfwADAHEfqqo9OlCOi4HpqhpaiDdSVXNFZAwwW0RWqermKPJdBVwFMGLEiA4UqeNJTnAURJ3XLAjDMLo/sVgQ9wLnqmpPVe2hqpkxKodcYHjI62HutmhcDLwSuiGQQeW6qOYSHp8IHfeUqmapalb//v1jEKvrCC2UMwzD6O7EoiB2q+q6dpx7ETBOREaLSBKOEojIRhKR8UBvYEHItt4ikuw+7wccQ/Oxi70GczEZhrE30dJ6EN93ny4WkVeBtwhfD2JGSydWVa+IXAN8BMQDz6rqGhG5E1isqgFlcTEwTVU15PD9gSdFxI+jxO4JzX7aWwkoCAtSG4axN9BSDOKckOc1wGkhrxVoUUEAqOpMYGaTbX9p8vr2KMfNBw5q7fxtxlMNSekdftpYSYhz/t1ev7fLZDAMw4iVlhTEDapausck6Ww2fgL/uwCu+BhGHNElIsRLPAA+taa4hmF0f1qKQWSLyFoReVpEfuauC7H3svlT52/Ooi4TITEuEQCf3xSEYRjdn2YVhKoOAM4HvgSOAmaIyG4ReVtE/rCnBOwwfA3O37g2dwzpMOLjHAvCXEyGYewNtJjFpKobVPU5Vb0Kpwr6r8AEYO9bjjRwU3Zv0l1BnMQhCF41BfFdZv7mInLLartaDMNolZbWgzhaRH4vIm+IyNfA33CykS4Feu4pATuMgN8/PrFLxUiIS/jGLqaP1uRTXtPQQRIZe5ofPf0VZ/zzs64WwzBapSV/yxfAUuAh4E1VrdkzInUSPnfWLl1nQYCjIL6Ji2lXeS2/fHEJJ+zXn+d+1lIrLKM74vH6AaisMyvS6P60pCCGAEe7j1+67b6X4hS0LQg04dtrCNyURbpUjHiJb3cWk6pSXe8cu71479bX31XKaq1I0th7aKnddz5OrcMMABFJA67AiT+MxnE37T0Ebsq+rnXNtNeCKKqqJ+uvn3D5USOBLtdzRjsx16CxN9FSJXVPnOylgBVxCLAReBcns2nvIqAYulhBxEt8u4LUq3LKAXhh4Xb3PKYh9kZKTUEYexEtuZg24bqTgDuBRaq696ZeBALDXdwor71B6hw36yUpPo56r98siL2U0hpzMRl7Dy25mPqDs0iQqm4N3Scih6tq11WctQd/wIKI4QdaXQRpfTvFj5MQl9CuGERhhdO/qd4NcsaZhtgryS9v7MPV4POTGN+mJVkMY48Sy7dzuogEF/oRkeOBZztPpE6irsL525qLqWgj3DcWvn66U8SIl3ga/G13M3h8GvZaTEHslYQmFyze9u3pZGN8O4lFQfwKeEtEBonIVOARYGrnitUJVBc6f1uzIErc5KyNH3WKGO11MTX4/GGvbeK5d1Fd7+WNJTlsKaqiX4az9OwbS3M67Xpr8yq44dXleJt8b4y9gyXbSxh18/tsLaruUjlavc24rqTrgI+B24FTVHVniwd1R6qLnL/eVmIQ8/7h/O2kdhjxce1Lc22qIKosj36v4g/TV3Lj6yuYm13IuQc7Bvn0JTnMWru7U6533bRlzFiWy5YuvsEY7eOlhTsAWLS1pEvlaKmS+l0ReUdE3gFuAdJw1oP4j7tt76GhDuqdLKAWXUyqkLvEeb5lLnz5sLOtA0mQ9qW5BgqsAEb2TSOntNZmh3sRc7MLgs+PHts3+Hz2+oJow6Pyzoo83l+5K6axCXGOC7KyzrKm9kZKqh1PR2ZK1/WOg5azmO7fY1J0NnXljc9bcjF5qsJfz/oLJKTAEb/sMFES4hLalebqCVEGo/qms724hpzSWkb167r1LYxGNu6uZMayXG46bT8q673cMmMld5x7IP0znUWiqj2NVmPv9MZ2L83dwN9bmcfkUX0Y0CMluO26V5YBcNbEs1qVJznRKVMqqLDlbfdGymqd70Wdt2s7P7ekID5rsspbBCIirY3pFjSEVB23pCBCFUmA7JkdqiDiJb6dMQglLSme4/ftz3mThjJvQyF55aYg9gRlNR4EoWda8328/vL2GhZsKeb0CYP4/r+/xK8wul86N50+PmJsr7SkkHNHKojcslqueXkZk0f34bVfHtUumZPdINXuClu9cG9ie3E117+6PJi12NWu5JZiEHNE5FoRGRG6UUSSROQkEXkeuLxzxesgvHXRnzclkOkUirtMaEcRHxffLhdTg9fP8N5pPH7pYQzrnQpYP589xaQ7Z3H43z4BHFfRg7M2cPx9c8JSVvu5lsK0r3fgd6dMPVMdheL3h8+heqclMf/mk9h3YAYrcsrw+vyoKp9tKERVeX7+NgC2FMYWP9heXM26XeHf3UCS25zswja9V6NreXT2JpbuKCPP/W5V1cc+mfT6/BGxym9KSwriDMAHvCIiee7iQVtxqqkvAf6pqs+1dHIROUNEskVkk4jcHGX/T0WkUESWu48rQ/ZdLiIb3cc3U0QNIfV9DS0oiPpoCqJju7+2tw6iwecnMcH51Qf8kl09u/gu4fH5Of+xL/npfxfxyKcb2V5cwxebioL7E+Odz2baosb8jfRk53P6qkmgsWdqIkN6pZKZkkhlnZfH525m2qKd/OTZr3l7eR7vrcgDoNbjpcbjfMbPftFYilTr8XHB4/N5ccE2AI6/by5nPvx52DUq3O/GqlzHKlZVrn91OXOyY495GHuehPjw9PXqei87S2qCMYmWOPWhzzjy7592qDwtLRhUp6r/VtVjgJHAycAhqjpSVX+hqstaOrGIxAOPAWcCBwCXiMgBUYa+qqqT3Mcz7rF9gNuAI4DJwG0i0rs9bxBooiBaaHIXzYJI6FgLot1B6pCiqgz3xmMByM6nNiR2sHxnWdi+lTmNrytqIz+LWo8Pv1+55OmFAOw3MJOjxvQl3g0g55TWBM+7zc02WrilmLzyOg4e1pNqj4+FW4rx+5U731sbPO+u8lqWbC/l1rfXhF2vPsRfXV3vfMfKajz4/cqG3VW8uSyX37+2ou3/BKPdnPXI59z29uqYxzctgK2q93LsvXM47aF5wW0er5/VuZHu8K1F1RTHoEjaQqtpriLyADBOVXepallr40OYDGxS1S2q6gGm4Sw6FAunA7NUtcRdF3sWjkXTPryugkhICVcWoVTkwYYPI7d3FxdTiILITHGsmqp6syA6m23Fzbt5Qn+MobGEJPdzqvX4wtyAd19wEK9cdWTw9QMXTgIgNSkevxvKC1ggx47rDziFddWe8M/5y83FUeXZXNAoa8Dy8CtUebyscJXbsD5pzb4fo+NZk1fB8wu2xzw+kH0WIDDxKKpq/K799f21nP2vL9jRTEfnuoZwD0VptSfCzRkrsZRbrQOeFpGvRORXbhO/WBgKhNZL5LjbmnKBiKwUkekiMryNx8ZGwK2U2qdRWYTiqYYH94fF/4nc19EuJklgXcm6NiuJBp+SnOB8XEkJcSQnxAVvPu398I3W+bqFPPTymgZuf2cNbyzJoby2IRhz2H9ID5Li46j2+MJ6L43uG55QMGVcP44e25ec0toIX3N6cgKpifHsLKmNiDXNXufUTqQlhTdUfndlXvB5db2PvulJQTkDkwmrv+8abpmxkrIaD+U1DbyxJIcVO8tYnx/psWjaIWFzlDqWgCVbWNWYoXbB4/ODz6d9vSOoJCrqGjjkrlnc93F2u+SOpVDuGdfN9BNgFLBSRF4WkRPbdcVw3gVGqepEHCvh+baeQESuEpHFIrK4sLBJQO7NX8Gi/zRaDWl9o1sQnz/Y/AXqK9sqUovEifMvX1W0CoBdVbtYU7Sm2fHVDdV4/V483vC+PfVeP09+toV6r48xf5rJ/R+17wvwXURVeXT2Rgoq6vD6/MxYmtOskm0a/A3li01FPDd/Gze+voKNBVWcc/BgHrjwYP5xwUGkJcfz3Pyt/OqlJcHxvdOTIs4xYUgPlu8s45Wvd4RtP3fSEIb3SWV7cXXQ//zojw6hd1piMKbROy0pbLb4xcYinvpsMx+uzqe2wceQXk4yQ2mNJ2hRhNbTGJ1LqMvvla938tayXH4/fQU3vr6C8x77kjP+GR43UlVe/ir8e5AdRYkE7gOBgHS918eS7Y1tW25/dy0PfbIBcKwHgMfnbg5+B9pCTA0b3HjCePdRBKwAbhCRaS0clgsMD3k9zN0WRFWLVTWgBp8BDov12JBzPKWqWaqa1b9///Cdm+fAruWNVkNa7+gKIlRrjz0JbsmFqW4ZyJoZMO/eZt9kW/nZgT8DoNLjKJ7T3jiNi9+/OOpYn9/HkS8fyeT/TaYsfl4wEBrKmjznC/TonE0AFFfV8/jczewN2cddxfr8Su7/eAPXTVvG8wu2c8NrK3h9SfTmAMXVnmAtA0CvtEQW3HIS3zsk0qAd1TedCw4bxvhBPUhOiKOuwc/6fOdz/s/lWVHPP3l034htr151JEN7pTK8dxqfri/g7H99ATiuxT7pSdS4cZGeqYlBN1e/jGRW5Zbz95nrg0ppSC+nhuK8x74MusCauquMjkNV2VJYFfztNbX88ivq2VxQFXFMgK1F1WH1TgB1Dc7rviGTi8B9IOB+Kq6KjDus3FnujmmU4YC/fERxVdvqYmKJQTwEZOP0X/q7qh6mqv9Q1XNw1ohojkXAOBEZLSJJwMVAWAW2iAwOeXkujjsL4CPgNBHp7QanT3O3tY3EFMe9FOpiaqiBsh3wxT8bq6RTejUeE5cAyRkw+ReN23YsaPOlmyM90XEz1LQULHdZX7oegAZ/A2Xp08IsiBeucJYb/eP0lWHH3PDaCv7x4XpW5zY/8/2uE/jYCyvrKXJ/MLubFJTNyS5gc2EVJdUexg3IoHdaIn+aOp7lfzmNwT1Tg+4kgAOH9gAIUyRNf7Rj+2dElWVElJjAEWMcpTG8yb6M5AT6ZjRew69KiXud/QdnRpwnoHxU4Rk3C9Rde1UAACAASURBVCpa3YXRMby9PI+THpjHX95ewx+nr+SBJm6dTQVVeJtYqnM3FHLxUwsorfZQUBn+HQx1IfZITWTa1zvCYpELtjixqOlLnJ5eo/o2fl/yymvJL6+jokkiy3XTWswtiiCWOu6VwJ9VNVq0rtlFkVXVKyLX4NzY44FnVXWNiNwJLFbVd4DrRORcwAuUAD91jy0RkbtwlAzAnara9qYkCamO9eBt4mKafgXkLIJPbnMshlHHNh4TFyXm0IGB6rQE50Os8bauILaVbwt7nRSiIA4c6oSCNjaZkeS660bENwl2rc+vYJ/+GSRYlz9qG5xZVb3XT6L7fwptW1Lv9fGz/zpfvdH90pkwpAfL/nJa2Dn2Hdh4Q370kkP54xsrOSqkhUbTG0HTm32Awb0aK6VnXX8cfUJmioF6lwA9UhLCZpI1Hh/F1c5NZWTfND7fGH7uPumJ/Pms/fnr++uC2yrqGvD5NeL7YXwzvt5awn/d+pUXF0YPSn+ybjeZyeG33Ec+3ciyHWX86c1VnHHgIAD+NHU8BRX1rMwp5+ttzm1va1E1N89Yxc0zVgXvA//9chs3nLovD85y3En3X3gwIvD43C18sm43R979KQ9fPCnsermlbVvSJxYFsQLYr0nwpBzYrqpRSo8bUdWZwMwm2/4S8vwWnD5P0Y59lm/aVjxgQdSUODf+NNeCCG3Yt3k2DG/MLCEuykqqHRiHSEt0FUQMFkRdk6K+UAuiTxR/tt+vwdoIn3uD8vr87Cqv44x/fs7Pp4zm1rOjZRp/twis651TWhtcX6PO6+e1xTv5w/SVzPn9CcGxeWW1HL9v/4hz/OiIEQzskYzH62dUv3RebVLx/NLPj+C+j7M5YHAmA3ukNHtD7pHSOCEZNzDcCghVKv0ykhjcKzXsc6/x+ILxiVFNAuASX83Kstn86IDvhSkIVViRU8ahI9qfNW6E4/X5uejJlr0MceJklFU2yTxctsMJOH+wOj9YV/PDrBH0TEsMprbuMyCDTSETwVA31MqcxlvwPgMy6JWWxP6DC/nETWQIuKADpCa1rbdTLNPJfwMLgaeAp3FWmHsdyBaR01o6sMtJSHUshuJN0GcMJLs/wPxwt0zYKnO9RzU+P+nPzt/6FvVgmwhYELVNsqmixQzqfE0UREL4TeaU/QeGva5t8AWzVe54dw07imvY5/8+4Nh75wDhDeO+y1SH/EjfX+U0vyuqqufJeZsB+HVIYLne62e/QZHuG4CT9x/ImQcNjrpvyrh+vH31Mdz9/Yn87pR9W5TnljPH8+xPI2MUw3s3KohPbziBjOSEMEVQ6/EGXVmB7ZnJCTxw4cGkDH2F6TvuwxcXaXh//9/zefqzLS3KZMTOtmbSTa8+cSwP/fBgtt1zFoeNbFTIpx0wkLOifG8q67xkpiTQI9W5iZdUO+6hpso/lLWuAph21ZHBFi6hk/mn3M/58R8fCjhJF68tjr0ZdywKIg+nQC5LVQ/DiTtsAU4FOi562xkkpjjupeJN0G8cDUMupKzhZ5ENWn0eR5lc8J9GpQBw3E1w0EUdakEkxieSEJcQ4WKK1sCvqRJpuvrYAxceHPa6xtOoIBZvL+WVReEZERXf8crrJ+Zt5sfPLCQ/pD9RjmtyF1bWk+HO5gOBZXAstWgB6Y7kl8eP5aTxAyO2D++TGvwb6AN13iFDGNk3jZPGD6Da42NXeR2J8RLMWEpKiOOCw4YxrL/zvnZUZzNhSI+Ic/9t5rqIbUb7WJXbWB4WcAEeOaYPN50+nu8dMgyA28+dAMDEYT35xwUTeeiHja6fI0b34cdHOB2Nph44OHiD/8Pp+5EYLxGB61ACn2No19doRZtnHjSY0W7ftj9MXxnWJqYlYlEQ+6pqMA9TVdcC41W1+09BElJdF1MxZAygaNpOqnwX4KdX+DhfAyQkwUE/iKycTukRvcL6G5CWkBbhYmqI0oa8qYspKT6OV9e/ykHPH0SDv4H05HB3WNOA1Ier88P3R/nifFdQVe75YD1fbirmjnfXRuz/fGNRsJgswPmThjD3phNISYzidmwnc3bM4V/L/hWTizEzJZG7v38QL15xBACldaX0z0hm3k0ncvZEZwa6KreM3mlJwer6JLdWJjCXuHHejbx/3bE8+qNDuOzIkWHnX7bDVrTrCD5Z12iZjx3gJCME1vwIMGFIT7bdcxbvXDOF3ulJJCXEMXlUH8DJjAu4hA8c1lhmdtHhw9n4t6lRU7BvOn2/sNehrspfHj+GMyYMYoUbNxvS04lz3Xr2/sExR979KZsKWp/4xuKQWisij+NUQgP80N2WDHTvO05iKhWlx+CvT6RXgqKuv9mvmcRLyM2gtqz5QHRyptOjSbXD1qhOS0yjuiE85h9tGdKmCiIhXrl3kWO05VTmMLrn6LD9Tcvvm65GVf8tyIFv8Pn5/esruPrEfcICxaE8NmcTq3LKeeKyw4LbAtbTqL5pQZfAsN6pQQsiGr87Zd+wH56qfuOlXp9Z/QwrC1eiqlx36HWtjr9ksjOz3FGxg7PePIsLxl3A7UffHoxPrNhZzpj+6cEMqhtOjXRnVXmqOHviEKbs0y8sgPq399cx/ddHf6P3812grMYT1oE3lI27K8NarmQkJ7Dhr2dGTUlvynNXHM4f31jFH8/YD7/fqVc5f9KQiHH3XHAQH6/ZzX6DMklOiGNs/wx6pydxX0jtU6gFMbhnavC7/+mNxwcz7k4aP5C7zj+QW99yWn+c8uBnLL311BZljMWCuBzYBPzOfWzByTZqADqiWK7zSEyhovJcqjxnOpaB++P206QYfOW05iumk3s4q8u11AW2jaTEp0TEFzxR2pA3HRMX50VxZhNNM5wgfL3jbytbCqt5e3kev3ppCRV1Ddz13tqwmIKqct9H2Xy4Jj+ss+Vf3H4415+6L1efOJaJw3ryi2PHRJz/L2cfwPhBmYzul86gno0ZRrurdzPxhYm8v+X9byR/wFLMqWzbcqNLdjtxkVnbZwGN8QmPz09qUjypSfFsu+csLsxyyof82vjet1c6SqFXWhIrbmsMG4auUWFEZ2VOGZPunMV7K/NQ1bBCwx3FNZz60GfsLKllvBunGtQzhaSEuJgmEmlJCfzrkkMY1juNEX3TePKyrGAbnVCG9U7jiimjOWaffmSN6hMsuJwYYm1kJEef64/tn0G/kNToH2YN571rpwRf55W1nNXUogXhFsg9o6o/Bh6IMqQqyrbuQ0JImmBCSlBB+DTSJ0tF1Do8x8UEjpspMTX6mDaSkpBCvbeenRWNwSKPP1JB1Hpr6ZvSl+I6J99Z4rzBSuxtFdsixu8saV1BhM6CK+oaWLmznCnj+rXnbXQJgZ5FWwqr+dWLS5i/uZheqYlceuRIfvvqckqqGxMOckMWVHp7udOGol9GMudNGspNpztVxVsKqzhkRG+eX7CNm07fj6PH9uOKKaMjrptX7Rz/4toXOWtM6wv2NEeNx3FXllTltTIynOxSZ7bYN9VJpR0QUnMRyIQJJTCRAKdaf0JfxwceWr9Rbb28WiVghV/z8jIWH13Kc/O3sfTWU+mTnsS8DY2upZP3H8DvThnHcVEy3jqLZy7PYvLfnO6tsaavJyXEceDQnvz+tH25/+MNwSLM5mjxrKrqA0a6hW57FQ2FNRSsPC74WuOTgx4iv8baTgrHgoDorcDbScCCuGPhHcFtUS0Ibx09k3ty8+FOZrBKXXBcQEHcdd4E/v69gwB4fUnrs9LSkEKpG19bwaX/+YqCyr1nUZnQdgHz3aZ1L321nQuemM9nGwrDCgRX5Zbz6OyNvBfSoyjUKkhKiOOO8w7k/EOG8uZvjuHosc0rykDvrMKab7a+Qq27KFVJcdtaoxTVOimQAddkXEja7COXRNarhn6fSurCM5le+rkT08grqw3OiK0FR3RCm+Q959Y57HAnYjkhs++UhHjOOHAwaW1MI/0mDMhM4b1rp3DvBRPbfOx5k2JLvIhF7WwBvhSRW0XkhsCjzRLtAQoLCikvdmZTFbO24ylvTC1TbaxkjXAxtUQnKIjkhGTqffXBlFdoJgbhqyMlIYU419D7svS5CBfTZUeN4kdHjOAPZ+wXcfyaO06P2FYYUq25pdAxAAsq6tlUUMmom99n/uaiiGO6EzVR3CK7K+qjLq5z7SvLuP/jDVzzslM9elHWsGYrmlsjcGMurf9mgd0aXz2p3lRKtPnwXYWnghNePYF3N78b3Ba4yVeFLIsbsCLOPTjcb+3xeSirb7QqSuvCZZ4yrh8PXzwJr1/ZUlRFabWH8bd+wGNuuxbDodJ1YTYlv9zp4bVxd+NncfjoPu26RnVZKZ+//Bx+X/vcfQcO7clFhw9vfWATQt1OLRGLgtgMvOeOzQx5dDsavA3Ul7k3iiaRf58vFZ+bV+yP5mJqjkDtRJNMJr/fzwMPPMDzzz/P7bffTnV1bKt/gWtBeOsYktH4w46WxVTlqSItIS2Y4bCxyinG6Znck9VFq3lr01vBsb85YZ+I49Oj+CVDW4QH0jofnb2Jr7c6N5EZS5txtbWRugZfRNvh1thZUtOsNfPCgm2szCkLFrkFOH3CQF4NaaEdoGnFKkDWyPb9iKFRQXj9XubtnBfmHowVVWVAxTCm7pyKrz6Tyf+bTH51fsS4D7d+SHFdMU+tfCq4raTWURA13prgkrWzf38CK2+PLEXaWbkTv/r5+5S/k5mYGWFBAMHajuz8ShZtK8GvcN9H2VTXe7nng/XtauzW3VmdW96mNVSaa1eTV1bLTdNXMnt9Acfs05etd0/lyDGRPbViYe4Lz/D129PZtmJpu47P/iqfst1tjz2mJsVz69kHBFOpmyOWbq53qOodwH2B5+7rbonXvSlpE4u5Lr8n+JwbbdMYhKrg0yaprwFSolsQHo+HyspKtm51etwUFMRehJYcn0ydrw4Jab7cNAaRX17HlrIdDMkYwlEDTw7bN6HvBDx+D7d+eStldY0zxa//7+RgAOrnrh995nXHhh1bH3LTDtxEP1yTz1dbHXdNW2/qzXHInbMYf+uHvLcyj6c/2xLWbbI5jr13DpP/9inj/i+s+B6/X/nL22s499Evg20ynrzsMLbdcxZPXpZFlpsuOLhnSjD9c2qUQqT2/ogBqsudmhJFuWb2NUx9cyq5K/7XpnN4/B761Tg+6qy8E6n11vLs4ocixgUC2KFWZUldCf1q+9G3ri9LC5ybSUZyQliWVYDdNU4V7ZCMIfRJ7RNUEG9seIPNZU4x4Jh+GSTECf/5YivvrXSKBftlJPPsF1t5Yt7miK6iAfx+DXYp/WhNfpj7rjtT1+Dj7H99EbQmW8Lj9fPLFxfzUjMtM/LKanlzmTORykxObHdm29blSyjOdSYa9TWxTzAD+P3KJ/9dy+v3LG7X9X8+ZTQThzZz33Np1WEmIkcB/wEygBEicjDwS1X9Tbuk6mR8DV78NQ14dlQE3TGCUL2leRdTpe8HVHgvZ1BJHQl9Gn3UDQ0NrNiwi8MA2fYl9BwGQ530MV8Tk7C2vBjWrIADzoP8Vc7YtOgz1pSEFGob6qgLafnRNAZx5D0fkDm+iBGZI1CNx1s9loT0zaQnpjNpwCTm5zn932u9tfRy6zoGZKYwIDOFbfc0BlEPaFIkVRuiAFISG+cHgSBuXlkth901i8d+fGibbqiz1u5mR0kNg3umMPWgwcHrhP4gv/6/kxmQ6fx/1+2q4MyHP+fTG49nbP+MsBqOBp+TLZKUEIeqhq2pELAgDhnR+MWOjxM+vfF4MpITyExJ4IeHDychLo5XF++kb3oSz/1sMuvyKxjRtw2L5Wz4CAZPgsyBVBTVUpkTaVnlfXA9Qw/+MXg9oL6WkxgKsymeeTtjSo6kIaWUQdXDGFK+DxUFkQVr+TWOVRG4sVd4KiitL+WC/AsA+MNnf2DORXOC47eVb6PaWx0MRJe7lf+9knsxInME2aXZlNWVcfuC2wFYdfkqkhLiuOjw4bz81Y5gu4YGn59yt1amtpkMp5umr+SNpTlsu+csfvmik1l1yIjefLg6n8uPGtlte30FCsOWbi+lut5LamJ8WBwH4KbXV7DvwExmry8INsLrkZLAR9cfR0pCPKvzyvnttOXBxocAN5zWcpV8c3gbGphx923B1w31rccB/dXVxKU3VlV73E6tntr2W3vJiS1/XrF8mv/EWeGtGEBVVwDHtXhEF+Jr8LL7iRWsrt3Cf1JmMzvRSW/0VjrFTnHpCRFB6jqfc9P3loZ/SLNmzeK92fNZwKHc97VS8fQ5wT5ODQ3hpmrtW7+F1y+HnV/Bk8fCc81nusSRSF5FJYt37A5u8/g85JTWsNut8pVE50f7/rI6Gnx+1OfcWMf0HEPflMYbd9N6imi8dfUxnDHBaQQWaB/s9fnDAnABlu4oo7jawx/fcHL1j/j7JzzzuVMTua2omkueWhjsgArObGvD7kp+8cJi7npvLb/539Jm11aYviSHTQWVrM4t5x133eX3VuzC71cu+Pf8sLF5ZbXMyS5g9C0zue2dxvUyAq6PpsHAsf0zGNgjhbSkBI4d1z+YAnjAkB4cNKwnF2W1wU/rqYGXL4L//YCa6mpe/PMCqmZnsV/BZPYrOIKhrhVTHuf+fJ6bCn8bBP+cCJWRLiMA/fBP/KYYGpIdi88X7+Hctdfi3e1YFHXeOh7/8i7WFq9l7s659PD0oGdFTzw+D+uKw5VIYlwijyx9JOiW/MkHP+Hi9y4OtpAvry8n3qeklZeTNSiLreVbmZszN0Km3548Lux1Vb032Nsp0EY80ALmyXmbGXXz+7yx1LFuzv5X41oGx9wzm7veW8uKnLYsOLlnCfQySk6M5/j75nDuY19wzwfrmblqF0VV9Xh9fl5fksPfZq4LKgdwVvYb3DOV3ulJ7vPGCeTNZ45vthanNV646Zqw13VVLSeE1ixbRvZhWVR93ph1VFcdfg/6+MqHeOxXs/nfb2bgrYwtwTQ5oeUi0JhC7qq6s4kZ1W0TqH0+H7sK85mf7HQ43Bpf4JbzOfIn9E+jYduAsLo3GXwARbsqyKitI/Dxe71evv76awC+1klUSzrZug+He6ohLhHvhllh1/2QEziQbJI/u8/ZUNAkuLVlHgw7HJLSwJ9IXEIV26vWgushqPHWMOUfzqxw49/ORMT5ga7NqXfy+f2OZH1T+9IzuVHBVXtbVxCThvfilqnj+XBNPjtKarjy+cVU13sj1lgOJa+slkdnb2J3RT1/fX8dw/uk8acZqyiu9vDAx9nMyy5kxm+O4ZQH50Usfbq1mWU6F28r5d4PneydG92Croc+2UBKYlxEV9ptxdXMWe+47QIuEIC/z3RaoKe2Ut2cnpzA21cf02wfG5/fR5w0k68eSHku2shXL94FnEZCbQ9O3PxjAHaPX0hJ8SXsjv8Klr/sdAYGKNvuvD62SQ5HbSn/3ZDBUXXHUpuWS6Km4o9zPt/k/OHw8a08SxmP75rLvze9BgpTc6cCUFpbElHzUlCez9OrnmZC3wmcPPJkSutKSfYns6JwBVOGTqG8vpzfzNuPJ3e8w3E/ceZyt355a/D4QKrzwB4pzLzuWG54bTlZo3rz0sIdfOkmKWzYXcmVzy9CFU7afwB3f7A+TIZo/vlo6xJ0F658wXHDVNQ24HEnR6HvoelSnwEC7SkCHD22b7ABXrR+SrFSuivcIq2paLnfW+HfnEzGyg/eQ31e8m78PT1efC+431PnZWOC03qnzN+LdUcey0FrWnenBVapbI5YLIidInI0oCKSKCK/p3Hdhm6Hr8GHV6Kn7PnwU93Hj5JBgeef6LUr4Lib0PTevJW8iJc/mU52tnMDKykpCTnOcU/5/OOoLC1k5VO/wjvz5rBzN5DIZxwBmz6JvHDJFnjhXHjjSshZTKXHSY/TxMaMoVBLoLbBh8Q5swPVJNeCcNwXfVP6MixjWHBsLC0bgGC7iLeX5/LJut3BWVJoBeYlkxtn2Q0+5QG3jTDAL19cEpxVvvL1TvLK67j65aVB5TB5dJ9gQ7An5m6OuP6pBwxk9vrGOM2yEOUUevN58CLnS/6H6SvZ1Uy/mAsOHRZTu+qDh/cK9jAKpbi2mEkvTmJadjPrXZW76cLeWgq3OYrLE+/Ioiipu37NIF8KJWVnw1u/Dj+2tNH9QEMtVOxi45u3UFH2PepS80nwprPP4F4kxRdRlbGBBk1n+qr/UBSiBHo0NLoFF6/9yMlICjHKDt/qfB+3lG/B4/NwSPEhnL3jbP712b8c8T3l5I12Up/XfbiaJF94lvrEFyYG02YPGNKDD393XHAmHFgXY01eBZ+sK+DT9QX835uOFX7S+AHR/18uAeujoLKOi55cwLai6mCCRVcSWjDZXF+jQHv2ptk9oa5MgBtP24+lt55K9l/PaLaFe2t4GyID5Q11UQrWlr4I2+fTUFBAzWonw8yXv5Xsh+9n7qGHUr6uMVX66d99Rn1yIXUpzm+sPim2RJzW2sjEoiB+BVyNsyZ0LjDJfd0t8Xqb98e9kbSQ59e+jQ8/DboPvvhBcNKfqXFn6wVlRbzyyivk5YUH3urFuYnGkcD0N99mRv4QSjSyIEabW/G33p0dZ78Pz5zM9uKVEUMq6htn0LUeH7gzTPUnUevxoz7npiAiTOg3gVNGnAK0XUGENio8eFhPpv/KabXw7E+z+NHkkdEObZbQwPOtZx0QzIx5fUkO/TOTue8HEzlu3/7ce8FE7jrvwLBjQ5VFgA9/dyzfP3QYifFCQWU9s9buDsuy6JeRzP6De3D/hW3P+w4lkDn05sY3I3fWV0JRo2KsqHfSh5NcF58voYb61EK8SRWUp++KPL7UDWyqwj8PggfHsyV7A2V9l6NxXhI9idR+Po+a+CRqM/JJS6zm0V69qA0JSN+Q3+jG+OfilyirL6O3v3Hb8VVO+42Ptn1EcW0xYyqdivDKkkoeWfoIr69/PTi2sKCEc3acQ+/68PbeG0o2hL0OrcQ9efyAYCwilHu+fxAXZTmTk/Sk+IjOM4EJxIyluXy9tYQT7p/Lj55eGDZmdW550AW5rag66GrsCKrqvTzy6cYwhVBe0xA1Bbo53r9uCv83dX+e+9nhzLr+OE5u0jE5JTGePulJrbpmACK7gjpUFjnf/dOGNE6kGupdt21VIeS5M/93roH/noln67bgOF9pKQtGjWHX0CHkbQ3/DCt6r6OylzPZ8oR4GfKq8oJ1PE1pzYJo1cWkqkXAj1sb113weX1IM5OWijhHS3vxEU8c6vrjazR8plpQUMDAgY1fDE9IsLu2cAdIP0p0UMQK8MlxfgidoLx9NZz3mNOqI4QLc5Zwd7/wAHbR7o2cGbeJD/xH8PHa3YirIPAnsruiDl/tMEQFX64PVeWGw27gkx2fxORigsaAdPbuxgZdJ+8/kP0GZbLl71MjAnYAd5w7gb/PXBfWw2ncgIwId9Cfpo7nINfn/8Slh/Hnt1Zzw6n7cmHW8GDrh1DG9EtnS1E1AzKTueq4MUwe3Yec0lrGD3JmPS//4kgufMJJ6a31+Ln9nAPwq7MGg9ff/n5Ir7zyCgcccAAJQ52vvV/9jrXwzrVw9kPgqYbnzgY3pbTW34P6un3wJlSDQoIvndq0RteAN8HP+qRE1p3/MN8be65jTex24yWVu6DaKaor9g9ylswChm//ipzkcFdMmi+Juppasoqy8Ht6s8GbGvxu9arvy0vrXuLEwsZU3q09xnGF9ODZ0gXs3t14kxlYO5Dsj7NJ7h35sz4p7yTiM+P5IvUL8tLzIroHh6ZE//SYUXy1tSTMdfjh745lQI8U7v3BwfzxjPGICAs2F3P1y43pmfd9lM2RY/qEWaVfbS1h4+5Kxg3M5O3lufx22nJ+ctRIbjh1X854+DPqGvxMPXDQNwpuV9Y14Fd48ONsnl+wnbH9Mzhr4mDmbyriR898FVRqR4/tGyyuPGX/gWwqqAxr1f3etVMY2COFXxwX2YIlVmp27aK4LJm+fRrIf+hS+p1yNg1L19Dn+z+k9KvdZBx/POUljoLondj4OwpaEK//FLaHVzfn/uEmKjIz+eCsqZz60cfIEOf3WLRgJfQfS2KC0uAN/03UJfdm243Xk3L+WZy+5Xou2ecSvLOEiYdO4vxzzwyOa82CiCWLqT/wC2BU6HhVvaK1Y7uCyspKmpZ99058kNKGRr+wz72La72P6iW7KdlcQOhBb731FmeffXbEuVdxIIoz4ykadwlsbhI8TEqGUF2z7CWnZfjsu8LG/aiyivnFlzNvP7cQyp+ArH6Bx5PKGFX3Mre+tZqEHq6LyZ/Eja+vAMZyScrPqV9dyop9VjB8v+EkNih1pcWsXzud3MLVnHz87c3+X5Ki/AADboVQ5XDX+QcyL7uAn08Zw1Fj+4YFiMHxyTZVEIHV7QDOOHAQp08YGPUmft1J+/DI7E08+9PDufiphdx42r5BBTJxWKMpf/ioPtx13gRufXsNt5w5ngsOGxZxrrbi9/vJzs4mOzubc359DgD1xRtg5h+cRaNm3gS71waVQ3ZSIp8nXwUFyZT2+wqAwflHUpfmWB89ytKo6FXD9OK/kvvGfPIPquDXPYbClnmo30/1B/8kkDdX4W1UEPE1xcRLIkmV5Xgynf/b6cvuZsuY5xhZ7Vhw9SH/ut51TnV3zzrHYu1ZVkZ5r16UbxkCo2HrB3cCjhU4sso5flzZWAAyqoZTldFYr+Gr9HFU5VG8MfqNYKZTgKG9UsOeH7dvP2auagy4h8ZyAsuenjR+AEN6plBc7aF3WhL5FXX844NsTmziijr1oc+cTqZuptwLC7azYHNxMGGisKqewT0jM8CW7Sjle/+ez5VTRvPnZha6qq73ctDtHzNpeC96uG1EAl/1hVudz/K1xTkkxAnP/Wwy8zYUkp4Uz9H79MPj9VNd7+WdFXlMGt4r7HvcVrIX7qJvw3I+eTWPYu9oemdWU1p5C8nPr8KbvD89H36Ja+g/xQAAIABJREFUiZ98ReqSFax1G/+lhGQfVa+eC8tGUbV+CQtlCgfnraT/mArW6D68ffTRZFY6E8GVE6dQl+y4tsp6O9XQY9e8zPr9QubwvnJ2DT6KQe8/QvnHX8Dv4YvFXzGZQ1i+eBHHnXYEfVKcCeo3tiCAt4HPgU/oxsHpAB8vm8tUOTRsW5KsDyoFaFQQ3pI6Sl/fQF18ZHDtvffei9i2I76IgCZZvjkyDNOQkEGt7zAkPo6UsZnOjefhgyPGAWRIPaeX+zjEW859PYdQ1WQGH7QgNOBDF/bNGM8qFlBSUsKEpAn86XVlwv33cuHN8SDCqqxrIaUnxEd+rNFu2IeOiMyBvuzIkWFtoV+4YjKz1u4OdgEd2mQZzCV/PiVsneTmrgVOo7zrT90XEWH+zSdFtVqCchw1isuOGtXs/lipqalBRPD7Gz//mrLtJHlTycPHuq0fsz/Axo8B2Hb4y/T4+mp+MDST09dn0jepMdOsPKOx0ji+JhF6gTczn4G+/uxevhs9oS+vJ/l5+rHvcf6a33JM7zVkZiykrqIvJDdwas8ebDlwPGzdHNZMryGlhApJIdQJNM6XySapJdWbiqgQp4nst24DA3ylfN7LaZUxMl/Jw5l5Dsr1kT/U0UIHVg2mMh5OTRzMFyVxjDmslK+2NgZkRSWiunr/wY0+6/6ZyREV59FmmqlJ8Xz+x5OoqG2gqt7LsffO4ettJcFlMu/+/kHcMmMVAJ+u283cDY1tSkInGfnldVEVxG+nLQec9bR/fuxoCivrmTisF7UeH6nues3TFjkKMDTh4lcvLeX6Jos0je2fQVJCHKce0OgZSEqIIykhicuPHhVx7bagqnzy3DogGXDqj0orHYVal34gRYM+J5+RlB3Xlz5Fw9klJWh8Ai/EX0ri8Ew8+VvZlZpE6Yt/5PWKS8gb1pNl/Y9msncucxKOgWQoTnZ+Y6W9huFJdf6/u4Z4SapfwYCCr0jybOTTQScBUDh0BUW+RIr6/YMEbzoXLdtEGhlU9toAcX6evvd+rrjheubkziE54YgW31ssCiJNVf/Ynn+ciJwBPIwzf3pGVe9psv8G4EqcNakLgStUdbu7zwescofuUNVzY71uA+Hmc5xU4wnZ5hcFhdrVTqCuUr5ZL6J0TaaWeuqTR7DYdx7DG/qRWVxBmq+S5LiVxEl9xDH3JD7jrMINPJapVLspk/H4UIRBfi9lOBZEgMx0Z+ZQumABtfX1TNju3GRGFMKOAcB9rmk8NAt+9oGzxkUzPH/FZAb0SGl2f4Dj9u3Pcfv2p3d6EoeM6EXWyN784LBhnPWIYwY3VQ4tEao4WlIOrbJ6Bow7tbHKPcCGj5z3nu6mAfu83HvvvYgIv/7lL4LDijeu45ydTpbQp/HrWeFP5hRdwKuFT8C7MOiwF8jw/JFeDZl4aexvVZPRmFTQUDEbhjS2EwfIqe/BCz0z6VPs3ISmxU9hQW8PZ5anEddQwoKFs4NeyfjaKrw9HJVQn1JEv/KEoJXRu+Bw+uQ+Q9yBk+lfn0yKLwVB2D3gJEoaxnDo4gdZmpXF/83I4JPvOzf2hsRj+P/2zju8juJe2O/snl7VZfVmuVvuNgZ30wMGE2qoCSUJCQmQe3OT3CRf2k3CTW9w6aGXQCCmYxtTDBg3cLfcZUlWseopOn3n+2OPdCRLtmVjg2Pv+zx6dM6eLbOzs/Ob+bXJEstpkSb8qt45uaQNR1eQcVqY9MReWtY0sXrqFHKCGf1ShqiK4B9fm05jZxi3zcxXZ1fQGYpRkGbvlzb+wOPSnRbSnRZuP7OSPy5JLYx9/ti8HgFx4yOrKctycv30En5ywHoc3a7dsYTGQ8t3c87oIZRmOfs4Ipz7x/foDMVYfMcszvrDu9x99UTOH5vHks1NDMQflvTVzx9sVcBjQaTr4HbPhJoyPjfnphFuLyBob4J4OXGPE9BgqD4ge9B/HeHcDCBI0B1jGWf0O1+3cACQSpyIvZPf3TCR0mBftZhUY3SmbSSzZRoZ4aH43annEtIs/OJfP6J963bmXlB8yHsbjIB4WQhxfnJ96UGTzAT7N/SV5+qAVUKIRckFh7r5GJgspewSQnwdfYW6K7rvQ0rZd8XtQRI8oMNXCBIVvVJCO9sh4CDeEmK/8LHOtAeAkfECtpiOPNWEIgUmYWJ3czoNlo0UJjJwttjIkF9ByGZMpteZx4fEtVwaow+SZroblylVnUXShy8pIGYq6+lSMhgVtbAk4sWvpbxwXDa9B/Fv20b9Y4/3bB+5V7I3RyBJqq7rV0PThp6gvm5+ftFoHv5gD8UZjv7rLHe1wbPXwYK/QEb/bKa91xkYnX/0U/FPTetOeO7LMPwLcNWTqe1dbXrsQulM2i96jGAwSOF73wWGIaVk7eNfAuYA0LF7H6Dff0tiBC0K7Gs/Hysg0Vi+5yPOMZ9D3FVLTpPgQHP6vNdeY1VpfyeFx99KUD/cwfxOCzGzj8ygm7PqzyFqDaME/QjAqtgZ7p3GTt86fF1biHnSiWUIXIkhPY5KIupnsy2GI9ROwGVnxv4pABTb0vHFgtjGTkFJxNleWUkoHsemKXgTQZx1GbQUpGYKVsxY4tvY/K6Pgg8/wm42s35cFcM6h7K5dXO/9S2mlKbsYi6riZ8d4FhwOLrVVGcMzeSskbl47Wa2/eI8fvTiRlqDUX55yRhy3DaunV5KxQ9S7b87iO2RD/bwq9e28sLH9bx++6w+atFuo/kzyRnDrU+sZWpZBit3t5HttvbJMTYQvVNjDxopYcU9MPJCSDvAlrbiHv3vq+/QVTtwAseYKUDAqxuclbgVzRShM3Md+kigv5dRwG0Fjjyi+kDh0I2mRjHFNxK21hN29p2hpW8fQro6hNyG/rmmejMYy9C30YVEWAjhE0L4hRCDyVw3FdghpdwlpYyiLzh0Ue8dpJTLpJTdVqIVwKdXNgN7ldY+38W1z/SZVfjefAAALRijQ6QeyMT40RmnQiKGCZVQ0huqTm2j2rSPD83b+MDUwbucRigxncbogwAEEl8ghpmfxq6l1j2ejIRGe/Jl+LvlN5Qly2+TNsDEKLGH5dZvYX5Dn8jtKSvD79ZVAGELfGGVhj0iWWe1MLasmJ9mpsP981JeFBueg32fcO30Ut76zhz+/uWp/W+i+lXY8x4sHVwWlXGFXm4aIC32cacr+Wz3vKfPJLqSI6pOveNING3l/vvu5YEHHmBxdUrPvjuc7CCkQqihfxBRQo3Q5ainJecDvOZUm2jO1evQ3RVhtFll+F4/WyuHowoTzt1bUCL6CNEcSSNi389FexfgsmTRkbGeoLeFuDmApkZQI3ozL3NXMTJtGjOGLEQNBzEFOkFIpEkfCFgb92Jp+yfDPVOYa52FFAJP0v5QbrIx22Nnw65V5AYCtGRnkYikk4aDeek5NKqp8VRxQrddOFQXeyN5SAR7Shbg7YyTEy1k0+5NPLzq95/qUbS3t9PamnrXLplYyAPXTeaxr0zjhjP0tmExKdx1aRUPXD+5J4peVQSP3TiVh26YjFkVPLB8NxU/eJVfvKKrbbc3B/CHY9S29/fQ645iTnOYWZm0MTzy5an9BMCeX3+B6l+cy8u3zeAH54/g2um9PPTq18KaRwZxg7uRb3yfnX88Hxns26ew6gE97mXLS6z9RyrIM2buJGxrQhMxOrLWEjdLMltaKNi9iQMR2uAyv6a39B3omaNe2tO7cHeM6Hs+ZM87L+IxQKOhsI32bF04WBv2YG8zY4mkhOnG994/5LUHk4vJLaVUpJQ2KaUn+X0wTrYFQO+MZnXJbQfjRuC1Xt9tQojVQogVQoiLB3G91IXUvg9ze6Ksx5UVIC5jIDQSnVHUXlVgYhCuawMQFwnMUiUsDh4oFNZSL+82mcv9U1/l4cR5rCi4gYxEgjY1dW1nUiWVLj2szPo5V6rLKBQtxHuVb+VUvZNvzlAZ0gF/vTvBXVHdOPicJzmd/mka/HY4PH8j3Dcblh+Q96dxAzyyAHa/py+7CuBrgNUP6dHEb/4IHr8Uul+OHUvgk6cA+Nc3ZxzUcHhcCSRVChGfPpP43zL9vjr03EEBxUNXSB+Rvs+UnsNa4/rLpCbMtEdH9ztt0LOLoGcnKAP7yV+hnE92vZeZORdzfuHNXFr6Haa5ZpG1t5Zh9V1kxvu6kXJALM40xwyuKPsvxmXMASDNnE2hY3iPgAFw7NmCpb2ZMflzGZ85jxzpJS2WUuGlSSdmxcqY9JkUOSbh83qxKzm4pN7xekWEtGAeIh5nXkwf/adbhxAwOdmbN47agrn4XboBe1bjLBZ/cq9uJ9M0+OCvens4Av70pz/xl7/osRdEAqiK4MxRuYNSH86szGbeiFyyXVbq2kM98RKTStJJaJKxP3mTrmii39KaoAe1/egLqbY3Kt/Dom/OYNsvzuPnF4/hqZt1jy+rSWVMgZdbZlXobqn7qyEWouv+82j610+RkUPMOrraYH81mxjGY3yRNS/efUAh7NRHRvPqk21U1xcjkSTUEB2Z6/CnVROz6IMTl99P3vbVtMc7cG77hPSmqThqarE3hSlpnUbFzgTpIoqlV3LEMyacSUbzNLIaz6CwdTL5uCj35eKQeluIqfV8Zfck2nI/wqekxur2XZtxbV2DtbGGq+PzmdKRyrigBn2YO1qwtLUxacVmTD5duGqhQ6/kMBgvJoHu5lompfy5EKIIyJNSrjzcsYNFCHENMBmY3WtziZSyXghRDrwlhNggpewXgSWEuAW4BSAvb+DIxieeekz3MEqiCVDsQbQuN0ovl1jToCZUKUr3Z7Enu6Xn2E5x8EyRwUQq9UYAE1fMGseKxnXMPm82a155ncbYZj6xWhgfieISXfjwkN0VJyewhetMW1jOZHbSO05BfwnVhIbP7SbksPPjp5q57auCpoxeL2igV+qHt++CGXekvj9zrR7YtfsdAMJYUGpXY6ldAXtXwPpn9P1e+hZc+QQ8ewNE/ZBXBbnJTlbT4NX/gInXQn7/dQmOGcEW3ebw9l09mxIItlDJqCU/QRt2ITspwxQc+BnE0UdRCVMEzd43eM7l6yLg0e075nAYeygHKfKId/4LU04lU5Mj86GevvdX7q6i3K3HZESJ81iiDqFEmNGRz7vper17fSG6TJIyNaWi8J5fRueruzkj92KKg1t5M7EXqaooYX3EXOpKqXZmxoaxLVzDdMtEhJQgYHTa6WgJjU/U3USVBF6pl32O1wWMQsZHIhBoVkmJazTrO59lU44fOv6AYpsLDrBoFma+70GrXYiSUUxDZ4hs068w/fAgKtbAfjZ8shrpKaAqIwZPXwV8Sf9t04t6mpmvf5BqF4NE7bU05x+vGM9p5Zmc9qulPdtunlnORePzmXHXMkYMcbO10U9FtovCpLPEsNyUMd1iUvqtu91DIgZ/0wdVj3A1TUoOX5o/g2HLV/XdT0rY+yE8fB4xLDyXDPn6ZF+cqqeuwyIjcMXj0FnLax1/IZJcRkCVi2jJTg0SfOm66uY8ZQ6+YSOpaX4RkYgju9ZSIBzM9ur9QYih7DbHyA7n8S/0spS02tihRdGAc53dM6MxaBGN1+QHVMQKybTlM2G7GaGaKXJVsqN9JUHNSaarkjLbWGyYGWefwOYdf2SoZyJVrvPYW1hBXcsmNuVo2Ot3EVatRDIOneF4MHOcu9G9++cBP0dfRe5v0Gt4NjD1QG/FXWFyWx+EEGcC/w3MllL2iHQpZX3y/y4hxNvABPTU432QUt4H3AeQn59/0LDNGBGEpiEVBU1VCHa2YDe7EYmU5BYHC3Q7CNZNb8Ic3WPqcLMPiew5/2gUtOd38MgNU2h57TVmv9TJR9MlX87L5f/2ZOBL6idz/KP4CRO5VVvMEqVvVlaTPZMuux1VC/HaF3SD6xVPP0Nhp4eh0Spit72KeefreufdpyDJHCO+hj5Rv1oCfq1+gzTZwe3i4ZRwAD31xP5qXTgA3HM6pJfB/B9D8XRY/SBsfhG+u+uI6u+I+E1Fv02vZ97MqlYnCzAT2VbHG1yMFb0JFTgT1AdV3NKPX/Q1UEo1xiWRaVikiXU7H6TWFIJk5z+23c6elsVM3t3Ah5WFzA4Pw2O20+CtJS+oN+eYFmHxvsc4v/CmnnNaMOGtc+CI72BYwVnUJTR2qc2caZ0D4QDmZJyB9/wyXDMLiO0L0PXJfoqcI5jeESahhSkv+CqB3GCP8wJArppDrqrPDCOzTajv6u1VQSE7ZqfeGiBb6zuh725nphnpKEs7uLjwKj5pW4bHnEmNr4Xd6fpAyKpUUdeyj1XqKDYwkrPj73D6x4/DjqW6Lcqa6nzf/uutvB3WO/9/At/q5c9936IPmcYIxrVs7ysgol16NHm308C2N6F2hd5ukvzPxWN5Y1Mj//2Fkf3yaz10w2QsJoXCdAfr/t/ZuKwmFm9uoqrQS6bLwpemFfP12f3bxYB0tRLCyuvMoQm9PlcVVRJZ8RY5ZaP1uKdF34K1KdVTQ6Kgx3GgLij4ZXU5F8ffZfSTN6CGfESwErfXMFU+yRtpvQzKyXcsR3PiVdPwOtModo6kzD2WYKyTCk9qHGx3lzMqOQm4MnwG+9RWHNtCnOtVaN7+DqTN69lXQWFCKA+BAhYodA6n0KnbBvOHDGxsvqrw9p7PlUoVlXlVfNK2DItixWquYJlp4yGrbTACYpqUcqIQ4mP93mX7IFeYWwVUCiHK0AXDlfQMOXSEEBOAe4FzpZTNvbanA11SyogQIgs4A92A/alQNI2EoqCMn0Cibi+UlZE4YOGW4f4Sqt0Dp/kFqKoLsr5Q9xIZ27yTapICQh5aQMRIYElW99+tb1O4I4ML767h0Zp3CAw/jfmfPMuGCniNVIMgqTpYl/gmKNXJe5AUyRxqXPt56aIFnL8lpU5rS0+nSDsDNeRkjy9M5dSbSSz5A0T8qGPPho3P6eqmKTfDK9/pVTaVLvNU0KBDpFxffTghdyzb9wXY9Ldfcwl2XEm3yq72Buqf+wmVJUmzUfTIjWuHpWmzHkNy9i8A0BDsIp97RpVxbi2satWfwyJSayJE0GeKHtdk6oMf45eOnqCz02PD+cCs12NGcuTnSBvJGMXC9r0dzM2dS1q6k50da2ieeAHneCaSZsnmk9a3GHvtAuzpWXz4+BMUTx2P+91cNjS9R4ZlCBKNQudw3IrCzNxLAZgcKqLMkku6dPXpaK3lXoQQZFw5AjXDhv+tWlzSSrFbn6U42/QRo+eCMsLxANHXUwbQ8nNOI5jViG/tPmo2rWWKpQzZtYsSezZREcEi+3qU5c0fQ/3S5ShCZWKmHnmfY2+nvSVGR9YGGvLz+LvpK2jJdtlENuF3/sjyjhxmlL6Ibco1er3vWNYjHLr5M6kwqH0ROy9wHoWdfvrk/713lq76+5H+assnL6OBHPK2L0EMP4+wOZ2ROdOZtbCvK/h7352L22YizZHqZrqXSj13zJCebd0rKQ6KYAvPcx47SNnNtg8fxvbX3wXe5ctXLKBm7WbK4uWYNRNOtZVdkRI4IJvGa7FLaV1bz3hHPj77GiKeKG/08jYq2N9Fp7+GIeYC5mSn0vRPz0k6YR4i4a8LG8MSuhbeLFQKhs3rt0++IyUQu4XDQFhKPERrUuon57QhBD/SZ7VV6bNQhEpUi6PGDx25MBgBEUt6JEnoCZw77PqEUsq4EOKbwBvocvghKeUmIcTPgNVSykXAb9DTiP8j6U3R7c46ErhXCKGh20l+fYD301EhkgacF7vSuS2md3SJAyJKd5iLyI462G/RDWaTYuWsMadGxkVrP6QmNodEtBq1l2+9EvbDwHnhAPjAXM2s2EjeN1UjhaRWbeXp5giBpHfBmfsyuHCVjxf0jM5ERSeWZNbZ982pnCuKUCmNZ1Oj6h1HomIesA6Axeec3TOPaV69gsqyShp89wJQOLpDFxAbn9f/AD9OdlLCm8wkKlNvwsrz3kD54M+83DkMenkR/iv9a4TbQ3xJPszTGbeztz3Cf9Xcrbf5ARY8Oip2va3PVoaeCc9creexqn4VH05eZj7bqMC9GQ5mWnNioSSew2k1aVSbLTiadxNxu8lWixgpCjDHNYIJf0/Ln5Cpv4RDwvWkSf0BZtrymZyVWo3PMS2PknH6DOOCH+g5uComT+P/vnotALm2Egqdw5mZNgyHSRcGTQV+sjucJCc0pF0yFHOOA0thajbjPbuUaF2A4m0j+92HyWPFW5FB42uNqEIlPt2MUAWuqXm4puYRvKcLy544+V2tqHYFkWGD1tQE2nthOUIR1HtqKfClJvLhuB/ZsZa0SCkdBb1sdfYwLaF0FneUsoYxKIv/xVyrFTpr2fvWn4EbDvnYAPY17k8JiJoPoDXpWrn4/8HYS1nOFJYyg/Mbl1Lc+ACLdxXRHHmZO78xBzErNdM92hxHhyLQuq+PcDiQh59ZBMwAE9gDRdhjVjpd/buciL2Zj8kl4PoyEdVHtxnXnbByqeUMVLcY3HJqJoXa2SFM7/pZ4v2QNKeV7EYHan2AbGshpW5dzRhJdLFy/6vMHHJpn8M9V1Tge0ZXqGzt+IiykolYO1Oq08yrR9Ly2GZitX5MuQ7SLqzAe34ZHbs66HpE79ssmEiPHXqFxcEIiD8DLwA5Qoj/AS4FfjiI40i6xr56wLYf9/p85kGO+wA4guHBwVEUpSdISih695lpKwZNf/haLwGxuyTGYzURsjR3z5jUyoHJ3lQEVoQW6p0/jZUWN3m9dQMHsENtZES8gGpTKvdMm5Lypmk2p5Mz+VxIeltNiI1hk6n/qmVxoZHba3GjrerAuWw6n3yVYFElTaIDiSS7dCZ9xpfOHF533cimpqSqoNfNvPra60D/0cn2dgA7y4b+ldrt1aDAH+SNxISZO+X9uO8qhTs24e+K4quvpqCoGDzJVfM0DZTD2Hg69sKjF7GPHPL4bo/C730msfiADPNWzcI4tZKxoVzqIxt43bufDM3FwqiuZxYIhjVlMi1tKmYldeeVohhMsMP3MfmOChwmXT2TZUv5T8zLS0WlWso8zL0xFUPRU31p6Xzr0edoravliR/cgS/aiseid48f7X+TmV//T3JKPNR9T0+LbSl0Y8nv/zJ6zy6heZsek5B1y1hMHiuxxiC2UZkIRdBxZhcObxqVU/uumpc1qphgzV7Ge0cSivtJG1lOZPl+hvzHZIRNRXXpo+/hN53P9l/8i13+9UyfeAnW3Q60WDXEqlGGnI6mRgn5lmOK5lFvqaAe3Y63IVrAx//8CD8uegsHT/tIzNE00qzPk1Fdx6ppKY+4/S2tsOE55KiFvPTgO+zQbseutpD7/hYufn8mDeiq0FfRR9auyBo0q41dix+iQkvAnKMKt9Jp36PrSZf9D8z5AWT1XWHxrff6qlKsoRw0tYOYpb9jSchVm5wn63U4MVbGWnNKHRuwt/FxBBAKafv305GdTaHMQg32V1EHHD5cXXobs43KxJRuBSGwV2WxW1nHLft0m+Brl7xGobuQui0beeYn32NXYB3z8q5mWcPTjP3i+TgSubim5RHa2oZ9TBaWPCf2gjT2PvURE269ksxifSbf8courBVpqB4Lud/oGyUgTArpIzLpLHBhrtf7njJT3+VqD2QwuZieEEKsAeajT9YvllKekNlcM6Wb68KzedT2Ts822SthVlxYgDiqokAyOVok2WlV1rdxczhAFJV9vXrLrZE6MMO+hIe3YkOxF3VhS2rYIr0SdpXFLIT7Jw7tw9/NW8g6yG9rJ02CXq64Fkz9Zi89RMN09/bdM4kDWTluOHWvvMQ+q16oRb9Zyfeuew3Ho8k8LN+ppuHXDwAHT5aW7xlGZHsmQprocu6ly1kLisbKnZt7/N+iQi/I7/gql4deYlTTZh549EU6Y2au5x+Uzfuyng67aTN8fbm+xndXK9Jkp8XXRbbLBB/+DVQrLPsF6xnBPzmPi3iDjC4Ti+JX0+rRp8Z2u41QKIyQgquip/fYfQqtVVwTjqEi+tiRpqVV9BEOvWlJa8I9poj65WsodAzHnhz5YxIQl9QENhOsjHDmtV8/aGS42WojPU9/wdqiDXgsmaxoeZVGdQaeLH1m6Dm7hIQvinnIwNNLS6GbtAUVmLLt2Mp1wW/KSukhxp11/oDH2fM8PR7zkZwEmedWImeXo7r7an89WV4+CqeTVjgTR0kmSr1Gtq2ImBZherCCnS3vE2+VuLM8bEwOsD1dEdodfaPsnX6JNzCcYNcqhONsfOErUbzbmbzyTV6Zvg+3nE7dvmZ4/q9sff7nrFUWgiLwkU0T2cxiJS3akD5+k6GioSRcXh5jNOe99TKjxn+VRx5/nEr2MKOqHOeky/WlIa3ugRdj0hJQuxK8BX0zFmx8Hn7QgAy2IB69kI+ZyNp23XitBkOYlWJyfMMJJgIE0xowxVxkuxL49xcQsTXrEcdJ5odGUCYK2KE24lNCZEYstCZzaVUlSpjsnsu2cD3lScEaTYRptfio8TSR73IxYuF8HCEn/mW1pF9cgepJtUelXq+MhUMXUujWO/j84fpscn+4jhca/0I01kVueQUZ4/QBm6UoNT0x5zio+PbcPlWS9oVDu+oLISi7bQIyrlH/w/fJlIee7gh5kIyD/45U5Y2Qr15/Pw/YdC+Im266iYceeqhnBuHwl9DlrsHkK+fK6lXYxl7OWq2atY46ngqPJ5KcLQyNKszw6Pl3Pg4XM8G2l4aEmzdiIyiMK1zWWk28S0/rHcnOR8RiCO9phB0DZPc8CobH85keH4YJtedeepOzrZrmYf3d/7rxaPaexIS9mbKrnRlnDmdfRhX7/Vm8t+4VNBHE7ZuAZgoRV/10eVKzlozmaaia3qAlkkSinrCrjZC37zoSZmkilgxEnBBJ8LE1JTgr/NkUawrl1pcpyquHcAeE2qmmnKe4iEt5hTFsY5cs4lGRmkbn0kIwOJSAU79WnrOEsVWj2fvaJsbZC3DLQ6+lOxAUYeezAAAbmUlEQVQbcvdy9k2XgZSoHivxWIw/XbOQyZnnUOEZT/at4zB5rQibiYCvFYc3DZPl8Oa29oZ6Vjz5DP5NDXinFDLrmq9jdw/GTHf0xFpCNP12NZYSD9k3j0UcIqdOa30AT7YdFWj8zSqi/giJRASramdvYAttkUYqMk/jGZvuz39ZZDq74j7WmWuJW3y4Ois5T03Ha3Lz0t67GZJ+GRom6oJb8Ua8ZLWuY93EMmK2IGexlHcSc4iqA9vk1JgVUEiY+7dPx95quor1du2WAS62NuIObiLbWkfglpVYTArWrBJdKBRMhnVP6gkxD2AzQ9macQ7r2yyYZYyY0N9rx54tqKEgZxfeRrrZwbO7/5dJaeP4JJKOUDNRzcXkNLyH1NZTXzYaS7CRi7J1NWKUODHiOLHRLgKsVXdxRmw4tuQAaWniNWqGRHjL8xHTR8zka+O+Ronn0NmRNanx2ObH+GLlF3FZUrPLtn11PHzH13q+f/PhZ7E6jr3aLby9nZYHN1J016w1UsrJA+0zuEiNfxO0jr7G5cLCQryhPDrVVtLbxoNU6HLXgJCszqpgBpBIDg615NAmNy5Y2GVlf9IxpEE4mAAoSCwSzuky09tGb92vj8AjroFD/g9ESEFlYgjBaBv1joH9sEcmCnpGx+bWRmKZQ/r8Hkr4cW1dw9lFN7Lcvhs10InLMQRNwPhIISv2PY9vaP/GGSoaS93/3s3Oeb9jb7SeeFYHtlAYSzSGp3EdiidIR2wU7a4u3L5KVM1KNPASqrkC1TqKuO9ZTD7ICt1G3nAf9a0dFCcsTJClPGdZgV8J9QiH7tmP5hCkxUvYp32d/LZrUYWGJhXeZxoIfaElTVP4p3Jen7I2kQXODqzSjNtfylnhfKJLwoS1tD7CYVP7B4QSPoqcI3CbM3GY9BFRxNuBtTMNNSNIxJ5NTU0bExde0GeEbTKb+dq9jxENhHAqnj4qIE/2odc+6E16XgGqy0RtcAvTZ1173IUDgDnLTuZ1o7AOTTukcADILEjdV/rCSlof3YxJtROK+yl2jaTYpY9aF4Qn0UEILw5GorK9aQvxtFLsQQ/eDL1eLyxOrTTc6dvGEE8F3qyJDKGdWmAx83s8f4pXryKWPouGil7CINaCo6aaUF4Z8TRdJaeEutDsDroKU2ohv3DxXNc4NDGOiBaE/9O9i/IVEFoDs7mFAA7GA2SNRPHvg0gne5RyntUu7PEE6xYO1qY6Lsu5hY3t75Fu1jvbcncVjdEQU1zFrGpZxPiMhXgrxrJ03zqmrV9NYMScnvJsa1/BmHR9vXd3wkqFT+Hp2O+pLDwLsaeelpmQPr6UeWEvP56e8tI6FIpQuH709f22p+el1J03/P6e4yIcAGyV6bRbD+15eFIJCCQQXc7EsVWs3a6vuZDdnoaJiuTPWs//GmcmM4BYMqgn0e0amPzvaB3HFlcLdqm/fGUOCzc5M3B2hkiI/moLTbYC6ewNF1Fs62876MbVtI9AYBdtdgmOgaeDSlJY7fR9grW1Ds3uJOHQX1BTLMp3nnmZJQ/+nQ3b9zCqMJ01S5eS75nMhMz5vNv8D3yx/VwRuYq1pt1kd8bY1LWW2JAyOpUQ/gU/pl3dgiOURotJ5QzraRQWZRH1TMNh1v24pSZZLn3sa/8jJc4RtEdXU1H9Asr4BWzzraFQW0VV02w6zRa8UvejPic2jmXmjbQqAfIS6UxIlNGsdLJbbdZX9QN2y99hjVtoE+3UJoMZAzh7hINNmgmLGBmaq8c+Mzs2imKLrpizqDDMkVLSvVH/MB3RZopLxrBDrCGvbCinXXA9gRUNFCw8g8jOTswFLlSnmdKDPA9nWjrOtPSD/Dp4Zlx1PaXjJ1E0+tOtVXEk2EcNfs3wbmwjM7CPycRS5sXkChB/Sn82tcFqipzDySGNUDyA3eTi8uy5NPm34fEMPBs4uyDVueUS50ltOXFF94opDXnIL5yFFvYTSXhoU7vIjjuZKsfwvtiJtzNImzsNR2cXp1smsZhtoKh4NDsT4+W8bdlEyNTfM26fBpDHk+ixs4s4G1pg9hmn4Vz+G17VdHfwS7TldLR2sbIli2EZ00lXJmJWLEzITHkWTc46t+dzt5AE+GLpHXQ3mFDcz5KGx3GZdJXbnvgW7rY/wq7yICFLAk19CGuewl3zfs/8ktS5Pw1CCM77xp10dXaQWXAES+UeBZr10Bqkk0tAAImWrZwz7TLGL32Z4MqViGioVyrv7jVGNXZ69IRqmkUfYWhSgABLsr6cMS+T273sdusdlSOUjWjWR0JCSfmdmxzziXctRSZtGUPDCtGD5MCzNNcj2xvwAzgGfrnnRkdjjkRZ2vYC2VNmUNIwgprtWxluG4E9twp/ti58XJkzqV5VQ8dasLivYZvvcWqD1YQSeqzCe7WP05STjd0r0ZqasWaVUWtr7emYcTVjlirFWhZKl8BkTnWSQghmeryEHF/v0c0vVR5nvmciQz0T6YjqnYo3lkEg2obLkkGadLIwOo1OGSQa8dMR2U6pw0ZtLxXnVrF3wBZnlSbytQzmxsbQJvx4pIPdajNDtDS27X+XwsyzUESvKPL9LzD9zpvo+JlejoXf/y9M6anyZ1yqX9Q27NN3/IPF4fEybFr/5GonGkIIMq/Ro5DdQJ0apXpRB+tr15BuycFlTufN9mcoNw1jbPpMct0pZ4W4R6OxaQd7fJuocI8nz6EbLYJxH06ThwWxyXwcXktFvIhSZxkkzRhjYhCMhXFiAxUuyvoSZleevhRwcnA8LB5gm2kfU+IV7Kx7k4syz8Vic/KmeR0ViVwUFFab+69U2M07768AkYoVSo/8GLczSo6tC5e5fzt40/c8E71zyJJ938MPtfeZrujPMa7FWNb4NF1xHztvzmfJpr+wybGTSDLT8tyiuSyrXUbUIo+ZcOhm1Kz+Lq7HA++wykP+flIJCMXroWvlSnZdoOf7D37wIWLs1yBTNwAJBEgBQvYsAqQpEikF/9np4HV7lNgB9sjL/C6k/wx6W9cUNRPVOg6hZmGyjiMRXoUSjZAAVN/y/om9klhaG3pMqEooNTrKidpptoSwhqOsr1+FQxQQsp9DYIMZb+4XsTjXUm8rZ/5laZSMuRQpJYGOlHpKMeVgTbuDWHQ9dC0F4SLqvIaMLhO17euBbVgDfrD1napOiJf1zFYAmkN7ybGnAm56DLfA/Pxrej6nWVLql/Ud7yFMMNJ1Oh/tf7lHeADQpndCllicRMk4OpIpnYvimUxKlJOQCexRDVUxs7njAwKefLZ1LKcxtJvTsi9kS2ANNcHNNIf24janY1UdtEUamfvL/ySveBTFZUMJdHb0EQ4GR0bhmLFkFEdp/ftalq54El9FOrf+8ffc+9bveXvdfVwVv4TmSB1mp8oZd9xAgTKNisYGtr7/DuZxQ3j2F98nLuPMq/gSmYk85ltngRU2tL9HQosxPulG7CQ1ajK7+mY82Ne1g7HmCiaZy7BLM6sjjSzb9zB2kxuPYsPrtlPhGU9VophHre8yMV5GC52oisq4eCl+EeZj026aFT29xRcjpyGEwCysmBUrTaEabKoTryWLdWc0kNYW421tD8+1/Irz1haR56jgtOwLWN/2Lm9etIvt/3wTJWJlY6mfPdODPDX3UZTiDH4e/zmLTvsjz1Y/S74rn8uHX87btW9TmX7oTvZEJrt06CF/P6mM1OMKCuTT7r5RpRtH3UhzTmp9iJac91FCuWxVS7gLB2+5drI7VktWkz5qWGKPcuZh8pOoJoUZl1fSLhOsf2oHUgsT9t1Dwu5C7QoQGKkn17LXVBMqGY4a9OHYu23Ac0l7JWqkBo+7hHb/LkzmcSQ8U7DF+3u93HrPXGLhBE/8ZAVdnf3d87R4E1H/E5hsp2Oy626RUgsTD7+PFGakaQ/F5FFjD+DPyuS68Gw2t77LsyXvM2GDjZ1lMS6XC/hk7xKq8ubzZPF7dKp+flevux92Jtp57ayNhNc2sc67mwltZVjXH3xUdyCRrHzUUABT0IdFsRHV+mbdrc3uomi/gy5rnFdOb6SkwUGrN8p5m0vAH+GS7/+UsvGpxGUHZiM1OHpi4TCrXnmBsjNnkefVdeCRRASreuh07oH2NiLBIOl5+fh2NRJ4UNdpv1p3P2MuPJemxZvYE9iIlJLdIxRKC8ZT2JSG2PgqD0zbx/eWFJBd00jzad9gePZIVu+4h23mNtQDEtk5TV6iWpgJGfMxKRaKnCknjY5IM15LNi+EFjHEORR3Wxv1wW1k24p4v7iB5VlrGGMbxkfKFl7+4isUuYtYWrOUO9+6nZ/Fb+Afna9hbY5SdeGFjC+dyjff+mbPub88+svcOflOTlYSwRgml+WgRuqTSkBMHD5cPiH6Gux2Lvg5Nb5UvpGWnA8Q4Wz2KKX8DAdLPDupCdeR1ayvyrXBEmds9OATq8u+Pxlvth2rQ1dN/cedS9mfiHNm2js0b12PBAIj9bp27dxFoKIca8MeLB0tvc4i6A48sHpvIdJ5X88vJtsZmOwHX8RDNSskkitx5ZR6aN7TK7GugCnnu9m1TqO1LkhWkYuWWl1F5hqZ4EX/jxi1x8Mr0xsxx1XGdBSx3VnLry7+M4+tfogrxn2J+WVn9ZzujmV3sGTvEvIdeWS0ONlo38F7V77HgxsfZG3zWn478ze8/P0fMqS8kv2eCFowRMu6LZiDGrvOdOHfU4c5EcdnF6iaYMpW/TlUNrThiAVICyR48Kw0TIoDy5kjadbauS39araa6ljtX0+uIxebycZ1lVfTsn4LI2bMMQTCCU7tyvV88tQrZCwczWmnn8dTP/ouzTW7eGlaHS1pUe4/+35ufvNm3BY3ZsVMe6iV8gbYmS8wayZiSpyMTpUF7+uz/vqsEAUt+sxz/J5GPinVHTZUYcKmOgnGO0kvPIv6wFMUNhTjiGm0OQSPnlVHwN4/a+/669b3a0MtoRbawm0MS0+mhm9eS1VWFSbFdEq0NyHEqeHFpLjdFPzqV9Tf9i0ARm7dgm3dfmruSWWpFFIBoeFOKns0Veq5TZJMdjmJtPX3LsrId5I+xEl2sbtPoym7sITn3qjmmvKhNG9d36NCMrc2Yq78CsO1D0lkZ9GUFBA55fO47Ie3sfje39FS76Mr2Dd4yptrJ+iD0bMKmHXlMO65dRneHDudSftHIqZRMSGbcfOL8OY4aK7xUbe1nSlfKEUxKZgtKqVVPhp2dFI1r5B//mYtdreZOTcNZdW7k1lU9A6qUAmb4qweogf/lHnLuO/ih/vd820TbiOcCPPLGb/kjT1vcKXJTpotje9MTqXp+PIf7kVRFJQB3Bq3t2/nkkWXUJVdxW9n/ZYnbv0aIpLgF1/yY0/PoC3cxq3jr+GrVV9F6SXYpwLXHXCu7JlDMDjxKZpaRdHUlKH+6l/+Hk1qBD/6JbX+WibkTODlhS+Tbc/GYXawuGYxd76tj9BjSpxMWyb5WfmEI3Yc230s+Pa3KXOVsnzra9xZcx+XL01gi6k0eVuoaFZYOr2e2twHUDTJve1DaXNB+fkXcmnGUB7b/BjFnmIe3vgwe/17GZkxcsAOP8ueRZZdd34QQjApd1K/fU5VTqoZxOTJk+Xq1atpe+IJ7FXjsI/Vw9XjsQRaQnL/7e/SmrUSG2k8pZXw35qNprI62uv3kd48cO7B9CEOzrllDJkDRMGCruYIRhPYVVj54j/44B9PADB2/jmcfcttPfu11tWSnpffpyOVUhLsiLC/ppqdq5ejaRpzrr0RsGC2qQghiIbiqBaF2s1tLH5wE+feMpaiUYfOwNinfJqeAbT7xYhrcaSU+GN+av21vLD9BX48/cd9OuhjSa2vlgx7Bk6zk0BbK027d1IxSY++1aR23K5r8O9DNBFld+duooko5WnlOM3OAdWHcS3ON5d8g654F5cNv5w9vj3ct16ffVdlV/HE+U8c9BoNgQasJmvPWswGKQ41gzgpBcRAJOIa//fNt2nLWoUp4eKDaAUbzAn+q7KVtj3NpO2fOOBxX7977qCXx2zYXs2TP9RH19fe9WdySo9uASIDA4PBoUmNt2vfZmLORNJs/ddYNzg8hxIQp8zwTenOOy8VpNQ4N2ghPSHQAiFIKEw6NxVYllmozxZMVvWI1k7OLilj9Oz5jD/nArKKDh1FaWBg8OlRhMK84nmGcDhOnFQ2iEPRPV0VUkEmV/taELTQ3hRASBMWe6oqSsdm0loXIBE9dCrcAzFZLJx76x2H39HAwMDg34BTZgaRQtCdrTwXFanEUTQViy1lGygdqxusTiLtm4GBgcERc8oJCH0Gkez5pUSKBEKqhLtSmVS9OUeeCM7AwMDgZOOUUTF1I6SCVHRhICVIoSGkSl65l4vumIAQYLWfctViYGBg0I9Trye0xIkrAVqyP9QFhZCMn1dKwfD+6RpyyzwDnMDAwMDg1OCUEhA3/nYmi15pZfOWTUhVXzDIqrgYOXpEv32v++XpWB2nVPUYGBgY9OGU6gFtLjMXLriAc849mxfv2oi/LUzlpFyKi4v77evOOEhKVgMDA4NThONqpBZCnCuEqBZC7BBCfG+A361CiGeSv38khCjt9dv3k9urhRDnHHjs0WK32/F6vXiz7QgEhSOMTKAGBgYGA3HcZhBCCBX4G3AWUAesEkIsklJu7rXbjUC7lHKoEOJK4C7gCiHEKOBKYDSQDywRQgyTUh5ZYMIhOO3iCmo2tFI5JfdYndLAwMDgpOJ4ziCmAjuklLuklFHgaeCiA/a5CHgk+fk5YL7QI9ouAp6WUkaklLuBHcnzHTOGlHmZtqAci+2U0rIZGBgYDJrj2TsWAL3X3qwDDsxj3bOPlDIuhOgEMpPbVxxwbAEDIIS4Bbgl+TUihNgIeIHOIyxvFtBy2L36ciTX+SzKdKTXOBHLdDTHnAxlOtJrnIjP7kSro6M95kSrJzi+ZRp+0F+klMflD7gUeKDX92uBvx6wz0agsNf3ncmK+CtwTa/tDwKXDuKaq5P/7zuK8q4+imMGfZ3PokxHeo0TsUxHeR//9mU60muciM/uRKujz6pc/+7v3aHOfTxVTPVA77U3C5PbBtxHCGFCl3qtgzz2ULx0pIU9So7kOp9FmY70GidimY72mON9/hOtrk608hzN/kfDifjsTpZ66sfxFBCrgEohRJkQwoJudF50wD6LgOuTny8F3pK6SFsEXJn0cioDKoGVg72wlPIzERBHcp3PokxHeo0TsUxHe8zxPv+JVlcnWnmOZv+j4UR8didLPQ3EcbNBSN2m8E3gDUAFHpJSbhJC/Ax9SrMIXXX0mBBiB9CGLkRI7vcssBmIA9+Qg/Nguu/wuxyXY48XRpkGh1GmwXGilelEK083J2K5jmeZDnruk2rBIAMDAwODY8cpl83VwMDAwGBwGALCwMDAwGBATjkBIYQIfN5l6I0Q4mIhhBRC9M8Y+DlzuLoSQrwthBhwLdvjUJZCIcS/hBDbhRA7hRB/Sjo/HGz/24UQjs+gXEZ7GiRGexpUuU6o9nTKCYgTkKuA5cn/gyaZyuSUIBld/0/gRSllJTAMcAH/c4jDbgeO+wt9AmK0p8NgtKfBc0oKCCGESwixVAixVgixQQhxUXJ7qRBiixDifiHEJiHEm0KI47a8nBDCBcxAz0l1ZXLbHCHEu0KIV5KJCv9PCKEkfwsIIX4nhFgHTD9e5TqgjHOEEC/3+v5XIcQNn8W1ezEPCEspHwZIerTdAXxFCOEUQvxWCLFRCLFeCHGbEOJb6Dm8lgkhlh3vwhnt6YjKaLSnw3CitCc4RQUEEAYWSiknAnOB3yVHFaDHXPxNSjka6AC+eBzLcRHwupRyG9AqhJiU3D4VuA0YBVQAlyS3O4GPpJTjpJTLj2O5TjRGA2t6b5BS+oC9wE1AKTBeSlkFPCGl/DOwD5grpZz7GZTPaE//XhjtaZCcqgJCAL8UQqwHlqDneepO67pbSvlJ8vMa9MZyvLgKPYkhyf/daoGVUk9ymACeQh8VAiSA549jef4dmQPcK6WMA0gp2z6HMhjt6eRhDkZ76uFUTWV6NZANTJJSxoQQe4DuFYIivfZLAMdlCieEyECf6o4VQkj0YEIJvJL835vu7+FBBgweS+L0HUh8HispbUaPtO9BCOEBioE9n0N5DsRoT4PHaE+H53NvT92cqjMIL9CcrPy5QMnnUIZLgceklCVSylIpZRGwG5gJTBV6ihIFuALd6Ph5UQOMEnrakzRg/udQhqWAQwhxHfQYVH8H/B09Uv+rQs/l1d1RAvgB92dUPqM9DR6jPR2eE6E9AaeYgEg+9AjwBDBZCLEBuA7Y+jkU5yrghQO2PZ/cvgo9o+0W9Jf8wP2OO911JaWsBZ5Fz7z7LPDxZ12WZH6uhcBlQojtwDZ0Pe0PgAfQdcfrk8bWLyUPuw94/XgaFY32NHiM9nR4TrD2pJfpVEq1IYQYB9wvpTymiw8dS4QQc4D/kFJe8DmX44Svq8+bf4c6MtrTvw8nYh2dMjMIIcTX0A10P/y8y3KiY9TV4THqaPAYdXV4TtQ6OqVmEAYGBgYGg+eknUEIIYqEEMuEEJuTQSXfTm7PEEIsFnqI/WIhRHpy+wghxIdCiIgQ4j8Odx6DU4tj2J5sQoiVQoh1yfP89PO6J4PPj2PVnnqdTxVCfCx6BSEek3KerDMIIUQekCelXCuEcKP7DF8M3AC0SSl/LYT4HpAupfwvIUQOurfAxUC7lPK3hzqPlHLz53BbBp8Tx7A9CcAppQwIIczoHkXfllKuGOCyBicpx6o99TrfncBkwHMs7U0n7QxCStkgpVyb/OxH9+AoQI82fSS52yPoFY6UsllKuQqIDfI8BqcQx7A9SSlld0I2c/Lv5BylGRyUY9WeQE88CHwB3QPrmHLSCojeCCFKgQnAR0CulLIh+VMjqQjFIz2PwSnKp21PSXXAJ0AzsFhKabSnU5hj0D/9EfguoB3rsp30AkLoCcyeB25P5lvpIekPPajR26HOY3DqcCzak5QyIaUcDxSiB7GNOS6FNTjh+bTtSQhxAXpQ3ZpD7Xe0nNQCIqnjfR494dY/k5ubkvq/bj1g81Gex+AU41i1p26klB3AMuDcY11WgxOfY9SezgAWCD0dx9PAPCHE48eqjCetgEgaAx8Etkgpf9/rp0XA9cnP1wP/OsrzGJxCHMP2lC30FBMIPVXzWXyOkbIGnw/Hqj1JKb8vpSyUUpaip3h/S0p5zTEr50nsxTQDeA/YQEo39wN0Pd+z6Im5aoDLpZRtQoghwGrAk9w/gJ4euWqg80gpX/2MbsXgBOAYtqdSdOOjij5Ae1ZK+bPP7k4MTgSOVXvqrZY6HlHzJ62AMDAwMDD4dJy0KiYDAwMDg0+HISAMDAwMDAbEEBAGBgYGBgNiCAgDAwMDgwExBISBgYGBwYAYAsLAwMDAYEAMAWFgYGBgMCCGgDAwMDAwGJD/DzaOTL7+2wz6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "for name,g in df_train.groupby('block'):\n",
    "    g['energy(kWh/hh)'].resample('D').mean().plot(ax=plt.gca(), ylim=[0,2])\n",
    "plt.title('train')\n",
    "plt.ylabel('energy(kWh/hh) mean daily usage')\n",
    "plt.show()\n",
    "\n",
    "plt.figure()\n",
    "for name,g in df_val.groupby('block'):\n",
    "    g['energy(kWh/hh)'].resample('D').mean().plot(ax=plt.gca(), ylim=[0,2])\n",
    "plt.title('val')\n",
    "plt.ylabel('energy(kWh/hh) mean daily usage')\n",
    "plt.show()\n",
    "\n",
    "plt.figure()\n",
    "for name,g in df_test.groupby('block'):\n",
    "    g['energy(kWh/hh)'].resample('D').mean().plot(ax=plt.gca(), ylim=[0,2])\n",
    "plt.title('test')\n",
    "plt.ylabel('energy(kWh/hh) mean daily usage')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:51:11.818415Z",
     "start_time": "2020-07-05T02:51:11.748262Z"
    }
   },
   "outputs": [],
   "source": [
    "# df_train[['energy(kWh/hh)']].resample('30T').mean().plot(title='train', ylim=[0,3])\n",
    "# df_val[['energy(kWh/hh)']].resample('30T').mean().plot(title='val', ylim=[0,3])\n",
    "# df_test[['energy(kWh/hh)']].resample('30T').mean().plot(title='test', ylim=[0,3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-11T01:56:38.106876Z",
     "start_time": "2020-04-11T01:56:38.100361Z"
    }
   },
   "source": [
    "# Experiments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:51:11.896172Z",
     "start_time": "2020-07-05T02:51:11.821242Z"
    }
   },
   "outputs": [],
   "source": [
    "default_user_attrs = {\n",
    "    'context_in_target': False,\n",
    "    'x_dim': 17,\n",
    "    'y_dim': 1,\n",
    "    'vis_i': '670',\n",
    "    'num_workers': 3,\n",
    "    'num_context': 48 * 7,\n",
    "    'num_extra_target': 48 * 2,\n",
    "    'max_nb_epochs': 20,\n",
    "    'min_std': 0.005,\n",
    "    'grad_clip': 40,\n",
    "    'batch_size': 24,\n",
    "    'patience': 2,\n",
    "    'max_epoch_steps': 32 * 600,\n",
    "}\n",
    "N = 3\n",
    "\n",
    "experiments = [\n",
    "\n",
    "    dict(name=\"anp-rnn\",\n",
    "         params={\n",
    "             'det_enc_cross_attn_type': 'multihead',\n",
    "             'det_enc_self_attn_type': 'multihead',\n",
    "             'latent_enc_self_attn_type': 'multihead',\n",
    "             'use_deterministic_path': True,\n",
    "         },\n",
    "         PL_MODEL_CLS=PL_ANPRNN),\n",
    "    dict(name=\"anp-rnn_pt\",\n",
    "         params={\n",
    "             'det_enc_cross_attn_type': 'ptmultihead',\n",
    "             'det_enc_self_attn_type': 'ptmultihead',\n",
    "             'latent_enc_self_attn_type': 'ptmultihead',\n",
    "             'use_deterministic_path': True,\n",
    "         },\n",
    "         PL_MODEL_CLS=PL_ANPRNN),\n",
    "    dict(name=\"anp-rnn_c\",\n",
    "         params={\n",
    "             'det_enc_cross_attn_type': 'ptmultihead',\n",
    "             'det_enc_self_attn_type': 'ptmultihead',\n",
    "             'latent_enc_self_attn_type': 'ptmultihead',\n",
    "             'use_deterministic_path': True,\n",
    "             'batchnorm': False,\n",
    "             'attention_dropout': 0.5,\n",
    "             'dropout': 0.5,\n",
    "             'hidden_dim_power': 5.0,\n",
    "             'latent_dim_power': 8.0,\n",
    "             'learning_rate': 0.001,\n",
    "             'n_decoder_layers': 4,\n",
    "             'n_det_encoder_layers': 1,\n",
    "             'n_latent_encoder_layers': 4,\n",
    "             'num_heads_power': 3.0\n",
    "         },\n",
    "         PL_MODEL_CLS=PL_ANPRNN),\n",
    "    dict(name=\"anp-rnn_d\",\n",
    "         params={\n",
    "             'det_enc_cross_attn_type': 'ptmultihead',\n",
    "             'det_enc_self_attn_type': 'ptmultihead',\n",
    "             'latent_enc_self_attn_type': 'ptmultihead',\n",
    "             'use_deterministic_path': True,\n",
    "             'batchnorm': False,\n",
    "             'attention_dropout': 0.7,\n",
    "             'dropout': 0.1,\n",
    "             'hidden_dim_power': 6.0,\n",
    "             'latent_dim_power': 6.0,\n",
    "             'learning_rate': 0.001,\n",
    "             'n_decoder_layers': 4,\n",
    "             'n_det_encoder_layers': 3,\n",
    "             'n_latent_encoder_layers': 4,\n",
    "             'num_heads_power': 2.0\n",
    "         },\n",
    "         PL_MODEL_CLS=PL_ANPRNN),\n",
    "    dict(name=\"anp-rnn_extras\",\n",
    "         params={\n",
    "             'det_enc_cross_attn_type': 'ptmultihead',\n",
    "             'det_enc_self_attn_type': 'ptmultihead',\n",
    "             'latent_enc_self_attn_type': 'ptmultihead',\n",
    "             'use_deterministic_path': True,\n",
    "             'batchnorm': True,\n",
    "             'attention_dropout': 0.4,\n",
    "             'dropout': 0.2,\n",
    "             'use_lvar': True,\n",
    "         },\n",
    "         PL_MODEL_CLS=PL_ANPRNN),\n",
    "    dict(name=\"anp-rnn_extras_no_det\",\n",
    "         params={\n",
    "             'det_enc_cross_attn_type': 'ptmultihead',\n",
    "             'det_enc_self_attn_type': 'ptmultihead',\n",
    "             'latent_enc_self_attn_type': 'ptmultihead',\n",
    "             'use_deterministic_path': False,\n",
    "             'batchnorm': True,\n",
    "             'attention_dropout': 0.4,\n",
    "             'dropout': 0.2,\n",
    "             'use_lvar': True,\n",
    "         },\n",
    "         PL_MODEL_CLS=PL_ANPRNN),\n",
    "    dict(\n",
    "        name=\"anp-rnn_no_det\",\n",
    "        params={\n",
    "            'use_deterministic_path': False,\n",
    "        },\n",
    "        PL_MODEL_CLS=PL_ANPRNN,\n",
    "    ),\n",
    "\n",
    "    dict(name=\"TransformerSeq2Seq_PL_lstm\", params={'use_lstm':True}, PL_MODEL_CLS=TransformerSeq2Seq_PL),\n",
    "    dict(name=\"TransformerSeq2Seq_PL\", PL_MODEL_CLS=TransformerSeq2Seq_PL),\n",
    "        dict(name=\"LSTMSeq2Seq_PL_attn\",\n",
    "         PL_MODEL_CLS=LSTMSeq2Seq_PL,\n",
    "         params={\n",
    "             'use_self_attn': True,\n",
    "             'use_cross_attn': True\n",
    "         }),\n",
    "    dict(name=\"LSTMSeq2Seq_PL\",\n",
    "         PL_MODEL_CLS=LSTMSeq2Seq_PL,\n",
    "         params={\n",
    "             'use_self_attn': False,\n",
    "             'use_cross_attn': False\n",
    "         }),\n",
    "    dict(name=\"anp_c\", PL_MODEL_CLS=PL_ANP),\n",
    "    dict(\n",
    "        name=\"np\",\n",
    "        PL_MODEL_CLS=PL_NP,\n",
    "    ),\n",
    "    dict(\n",
    "        name=\"PL_Transformer\",\n",
    "        PL_MODEL_CLS=PL_Transformer,\n",
    "    ),\n",
    "    dict(\n",
    "        name=\"LSTM_PL_STD\",\n",
    "        PL_MODEL_CLS=LSTM_PL_STD,\n",
    "    ),\n",
    "]\n",
    "number = -1\n",
    "results = collections.defaultdict(list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:51:11.952864Z",
     "start_time": "2020-07-05T02:51:11.898633Z"
    }
   },
   "outputs": [],
   "source": [
    "# Summarize results\n",
    "\n",
    "\n",
    "def summarize_results(results):\n",
    "    result_dfs = []\n",
    "    for k in results:\n",
    "        v = results[k]\n",
    "        df = pd.DataFrame(v).mean()\n",
    "        df.name = k+'_mean'\n",
    "        df['n'] = len(v)\n",
    "        result_dfs.append(df)\n",
    "\n",
    "#         df = pd.DataFrame(v).std()\n",
    "#         df.name = k+'_std'\n",
    "#         df['n'] = len(v)\n",
    "#         result_dfs.append(df)\n",
    "\n",
    "    if len(result_dfs)==0:\n",
    "        return None\n",
    "    result_df = pd.concat(result_dfs, 1).T\n",
    "    \n",
    "    return result_df.sort_values('agg_test_score').T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-26T02:19:32.309872Z",
     "start_time": "2020-04-26T02:19:32.257966Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:57:55.013394Z",
     "start_time": "2020-07-05T02:51:11.954971Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'anp-rnn', 'params': {'det_enc_cross_attn_type': 'multihead', 'det_enc_self_attn_type': 'multihead', 'latent_enc_self_attn_type': 'multihead', 'use_deterministic_path': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=anp-rnn, trial=<optuna.trial.FixedTrial object at 0x7f8d6e34b668> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn/version_-1000/_ckpt_epoch_2.ckpt\n"
     ]
    },
    {
     "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": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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2yUsvvcSAAQO4ePGi3lIUCofBlolplgghrgkhTuRTPkoIcUwIcVwIsVsI0cJWWkoT7u7uPPHEEzRq1IjTp0/rLcfu+PPPP1m7di3x8fF6S1EoHAZb9gi+AXqbKb8AdJNSNgPeBRbZUEupoVq1akyZMoUtW7YwePBgveXYFS1btuTo0aMsXLhQza8oFFbEZnMEUsrtQoggM+W7c+zuBWrbSktpw8vLi6ZNm6oQE4UkKioKgIEDB1K5cmWd1SgUjkNpmSweB/yut4iSIC0tDTc3N3bv3k2FChX0lmNXHD9+nIyMDBWaQ6GwMrpPFgshuqMZgtfN1AkWQoQJIcJiYmJKTpwN2L17N76+vipXcRHw8fHh1KlTLFmyROUsViisiK6GQAjRHPgKGCilzDdmgJRykZSyrZSybfXq1UtOoI2oUaMG3t7eesuwSz7++GOCg4M5fvy43lIUCodBN0MghAgAVgFPSinP6KWjpOnevTt///03Bw8epFmzZnrLsSsmTZrExo0beeqpp/Dz89NbjkLhMNgsZ7EQ4nvgAaAaEA3MAMoBSCkXCCG+AoYA4cZTMvPLp5kTR8hZfOPGDapUqUKlSpW4ceOG3nLsBldXVzIyMkhLS8PV1VVvOQqFXWEuZ7EtvYZGFlA+Hhhvq+uXZipWrMiFCxcoV66c3lLsii+++IKMjAyV4lOhsDK6TxaXNVauXEn79u358ccf1fBGIRk/fjxPPPEE165dIzk5WW85CoXDoAxBCRMVFUVYWJjyeikizz//PL6+viqEt0JhRZQhKGEee+wx9u3bx8WLF3n22WcxGAx6S7ILsrKyWLNmDfv27aNGjRpqWE2hsCI2myy2FY4wWQxq4rOwJCUlUb58eTw8PNSwkEJRBHSZLFaY55NPPkEIgZOT6pRZgpOTE/3791dGU6GwAcoQlDAbNmxg//799O7dm3bt2uktx27w8PBg7dq1estQKBySAl9HhRBOQohWQoh+QogHhRA1SkKYo7J+/XpmzJjB3r179ZZil3zxxRfcd999LFmyRG8pCoXDkG+PQAhxD1r8n57AWSAGcAfuFUIkAwuBb6WUarazEPTp04fKlSuTnJzM+vXr6dGjB+7u7nrLKvWY5rKU15VCYX3ynSw2rgz+Etghc1Uy9goeB+KllN/aXGUOHGWy2M/Pj6ioKCIiItR6AguIiIjA398fgH379lG7dm1q1aqls6rSz1tvvUVsbCxffPGF3lIUOlOkyWJzK4OllNeAT6ygrczSvXt34uLilBukhWRlZQHg7++v5lYsRErJu+++C0BISAhVqlTRWZGitGLRZLEQ4n4gKGd9KeUyG2lyaM6cOUNycjJffvmlykdQCAIDAzEYDGrdRSFZtWoVSUlJyghYyJo1a/j999955JFH6Nu3r95ySowC1xEIIf4H3AMcAbKMh6WU8gUba8sTex8a6t27Nxs3buS3336jT58+esuxOw4cOMDvv/9O27Zty9R/VEXJ0LRpU06ePEn58uVJTEzUW45VKe46grZA49zzBIqiUadOHZo3b07VqlX1lmKX7N+/nxkzZjBp0iRlCBRWp2PHjpw8eZJ69erpLaVEsaRH8BPwgpTySslIMo+99whM3HfffRw8eJCDBw/SqlUrveWUei5evMhzzz1HTEwMDz/8MO3bt6d///56yyrVREVF4efnh7u7O5cuXcIRkjrZmqtXr3Lu3Dl8fX0dLqd4kXoEQoi1gAQqAKeEEPuBNFO5lHKAtYWWJaSUSCnJzMzUW4pdcOPGDdavX0/z5s2zJ0AV5jFlcUtNTSUpKUkZAguoWbMmNWvW1FtGiWNuaOjD4jQshFgC9AeuSSmb5lEugE+BvkAyMFpKeag417Qn9uzZg7OzswoxYSF16tRh7dq1eHl56S3FbvDx8cHf35977rlHGQELOXz4MFeuXKFFixZlyq3blhnKugK3gGX5GIK+wPNohqA98KmUsn1B7dr70FD79u2Jiopi165dBAQE6C3H7rhx4wYXLlygYsWK3HPPPXrLUTgYnTp1Yvfu3fTu3Zvff/9dbzlWxdzQkCUhJgYLIc4KIW4KIRKEEIlCiISCzpNSbgfizFQZiGYkpJRyL1BZCOFbULv2TmRkJBEREaonUEQ2b95M69atmTx5st5SFA6IaZX/1q1bdVZSsljiNfQ+8IiU8rSVr+0HXM6xH2E8ViompW3F4cOHSUlJYfHixRw9epS33nqL1q1b6y2r1BMVFcXatWs5c+YMLVq0ICgoSG9JpZ64uDhWrlxJeno6I0aMUMNDFvDll1+yZMkSGjZsqLeUEsUSQxBtAyNQKIQQwUAwYPfDKab/jCZ/+ODgYJ0V2Qf//PMPEydOpFu3bhw5ckRvOXbBW2+9xfz58wHo0KGDMgQWcO+99zJnzhy9ZZQ45ryGBhs/hgkhfgR+5U6voVXFvHYk4J9jv7bx2F1IKRcBi0CbIyjmdUsF06ZN45lnnlG9AQvx9fUlODiY+vXr6y3FbnBzcwPAy8sLb29vndXYB1JKND+WsoW5oHNLzZwnpZRjC2xciCBgXT6Txf2A57g9WTxPSllgEBl7nizOysoiODgYDw8PPv/8c73lKBSKXHTs2JG9e/eyYMECnnnmGb3lWBVzk8XmDMHjwEYp5fUiXvR74AGgGhANzADKAUgpFxjdRz8HeqO5j46RUhb4hLdnQ7B06VLGjtXsZ2BgICEhIYwaNUpnVfZFWFgYgwYNomXLlqxbt05vOQoHo1KlSiQkaL4wjhZMoaghJvyBn4QQ5YAtwO/AfktDTZiLXmosl8B/LGnLEQgNDeW5557L3g8PD2fs2LFcvXqVV155RUdl9kFKSgrx8fFcv36dyMhIFYLaQuLj40lJSaFq1aoq74UFHDp0iP79+9OgQQO9pZQoloSYqICWnKY30A44DWxA6y1E21xhLuy1RxAUFER4ePhdx729vYmNjdVBkX2xatUqhgwZQt++fVmwYAEeHh5Uq1ZNb1mlmp49e7JlyxZAS5Haq1cvnRUp9KRYQeeklInAL8YNIURjoA+wDFC/LAu5dOlSnsfj4swttVCYcHNzw9fXl5o1a2YnqFGY58CBA4DmG+/iotKTK/LH0nwEfkBgjvoHpJQf2UyVAxIQEJBnj8De3WFLin79+hEVFaW3DLti9+7d3Lhxg44dO6oFjBYyYcKE7Ixuvr4Ov741mwINgRBiLjACOEWOfATAdhvqcjhCQkIYP348qamp2cc8PT0JCQnRUZX9ERsby5tvvknlypWZPXu23nJKNU2aNNFbgt3x448/kpiYyJYtW7InjcsClrwmDAIaSCn7SikfMW4q8mghGTVqFHPnzsXDwwPQUi5+8MEHDBw4UGdl9kVSUhILFixg+fLlektROCDffqulYE9JSdFZScliiSE4j9HtU1E8XnjhBZKTk5FSMnz4cP7zn/+wYMECvWXZBb/++iutW7fmiy++YP78+WVy9WdhiIiIYOrUqfj7+9OmTRt+++03vSXZBQMHDuTcuXNcuHBBbyklirmVxZ+hDQElA0eEEFu4c2WxLqkqHYWKFStSo0aN7NWfCvPExMRw+PBh2rRpw9y5c/WWU+q5cOFC9tBZRESE8kyzECcnJ4dLSGMJ5haUPW3uRCnltzZRVAD26j4KtxeolMUl7MUlNjaW8PBwvL29VcA5C7h48SKhoaEkJyczePBggoKCVJgJC1i0aBHOzs6MHj0aZ2dnveVYlaKuLB4E7JZSXrOluMJiz4Zg586ddOnShc6dO7Njxw695dglWVlZbNy4EYPBoFJVKqyKlBJnZ2eklAQHB/PZZ5/h6uqqtyyrUdR8BE8Ah425CL4VQgQLIe6KGaSwnKwszelKufIVnczMTPr168fgwYMLrqxQFAKTAQCtZ5DTw8/RyXeOQEo5FLIDx91v3J4RQgSgrSPoWxICHYlu3bphMBgwGAwsX76cefPmMWrUKF588UW9pZV6du3axaZNm+jYsSO9evVyqDc1W3D+/HliYmI4c+YM586do1evXnTs2FFvWaUaJycnFixYQKtWrTAYDGVq/s6SlcUXhRDugIdxM31WFAEhBM7Ozly7do0DBw7QuXNnvSXZBbt27WLmzJlMnjyZDRs26C2n1LNgwQI++OCD7P2KFSsqQ2AhjhZ11BLMeQ1NBToC1YF/gL1o0UKDpZRZ+Z2nsIzHHnuMTp06qeBpFnL//fczY8YM7r//fr2l2AV+fn60a9eOhg0bUqdOHTp06KC3pFJPVlYWV69exc3NrczFsTI3Wfw3kASsBXYD+6SUN0tQW57Y82Tx7t27mTVrFvfffz9Tp07VW45dozywFNYmMjKS2rVrA7B+/Xq6du1K+fLldVZlPYo0WSylbAg8BISh5RX4RQixXwixWAgxxiZKHZyoqCjWr1/PoUOH9JZi11SvXh0nJyfi4+P1lqJwIAwGQ3YPvV+/fly+fLmAMxwHs3MEUso4YJ0QYgPQBugKPAOMBcxlMFPkQadOnVi7di0+Pj4cO3aM1atX07RpUx599FG9pZV6IiIiiI6Oxs/PL7sXkJGRobOq0s/Vq1eJjIzEx8cn+21XkTf+/v5ERkYyYcIEIiIiylb+BillnhswAJgD7ADijP/OAQYC1fM7L1cbvdHmF/4F3sijPAD4EzgMHAP6FtRmmzZtpCOwbNkyCcgnnnhCbyl2wRtvvCEBOWzYMBkQECCFEDIwMFAuX75cb2mlkgkTJsjq1avLVq1aSUBOnTpVb0kKnQHCZD7PVXM9gtHALuA14KCUMr0wBkYI4QzMRxteigAOCCHWSClP5ag2HVghpfzSmOfgNyCoMNexV5o3b8706dNp0aKF3lLsAl9fXwIDA1m9ejXp6dpPMTw8PNvvW6X8vJP4+HhiYmJo3bo1rVu3LlMhlRWFx5IMZX2klL/nOjZRSmk2WpoQoiPwtpSyl3F/CoCUcnaOOguB81LKucb6H0kpzbqF2PNk8alTp9ixYweNGzemS5cuesuxO/LL8hYYGMjFixdLXlApJjExkeTkZCpWrJgd8VZhnmPHjjF69GhatmzJkiVL9JZjdYq6stjEm0KIB3M09hra8FBB+AE5Z1sijMdy8jbwhBAiAq038HxeDRlXNYcJIcJiYmIsuHTpZPv27UycOJHQ0FC9pdgl+WV5y+94WaZChQr4+PgoI1AIbt68yeHDh1m6dCnOzs5s2rRJb0klhiWGYAAwSwjRRQgRArTHMkNgCSOBb6SUtYG+wP+EEHdpklIuklK2lVK2rV69upUuXfI0atSI4OBgOnfuTEJCAkeOHOHs2bN6y7Ib8svmprK8KaxBq1atOHjwIAEBARgMhjLljGDJyuJYIcQAYDNwEBgqCxpP0ogEciaXrW08lpNxaBPKSCn3GFcwVwNKVaA7a9GtWze6desGaMnE+/TpQ69evdRKWQt47bXXiI+Px9XVNXuOAFSWt/yYPXs2//77L7Vq1eLrr79m1KhRd6w0VtxN+fLlad26NWfPnsXZ2dnhoo+aI98egRAiUQiRIIRIQPP6uRcYBpiOFcQBoL4Qoo4QwhV4DFiTq84loIfxeo3QwlfY79hPIahUqRItWrSgTp06ekuxC+Lj40lISOCJJ54gMDAQIQSBgYEsWrRITRTnwbp161iyZAmXLl3iypUras1FIXB1dS1TRgAsmCwuVuNC9AU+AZyBJVLKECHEO2huTGuMnkKLgfJoSXBek1L+Ya5Ne54sTkhI4NatW1SsWNGhViyWBDdv3iQpKYlKlSrh5eWlt5xSz2+//caVK1fo3r077u7ueHl5UalSJb1llWqOHz/OypUrad68OUOGDNFbjtUxN1lsbg1AUH5lxnIB1DZXxxabPa8jePfddyUgp02bprcUu2bDhg1ywYIFMjw8XG8pCgciNDRUor2QyoEDB8pNmzbpLcmqYGYdgbnJ4g+EED8LIZ4SQjQRQtQQQgQIIR4UQryLtsagkRUNlsPj6emJr68vFStW1FuKXTNv3jwmTpzIsWPH9JaicCCaNm3KjBkzqFy5MqtXry5TeYvNDg0Zh25GAZ0AX7T8xafRXD1XSilLPHODPQ8N5eT48eP07duXRo0a8ccfZkfDFMDChQs5ePAgwcHB7NmzhxMnTvd4cksAACAASURBVDBp0iS1IC8fNmzYQGpqKt7e3vzvf/+jVatWPPvss3rLsgsOHjzIpUuXaNWqlUOlRS3S0FBp3ex5aCgnR44ckYBs1qyZ3lLsgiFDhkhArlixQm8pdkGdOnUkID/88EMJyEGDBuktSaEzFDHEhMKGNGrUiPDw8LIV2KoYTJw4kYceeog2bdroLcUuePjhh7ly5QpdunRhwYIFyjvNAqKiooiKiqJWrVplLk+ITb2GbIE9Dw29//77/Pjjj0yePJnHHntMbzl2S0JCAomJiVSqVEl5Xymsxpw5c5gyZQoPPfQQI0aMoFWrVrRu3VpvWVajuCEmFFYiPDycQ4cOcf36db2l2DWvvvoqtWvXVqE6FABs3LiR++67j7///rtY7fj4+NCmTRsOHTrE+PHjWb16tZUUln4KNARCiFVCiH55hX5QFI433niDsLAwhg4dSnx8PJMmTeL111/XW5ZdsHv3btatW0dMTAxVq1bF19e3TCUXLyypqalkZWVx/fp11q1bx86dO/WWZDNmzpxJWFgYn332WbHaGTNmDGFhYSxZsoSxY8fSqlUrKym0A/KbPDBtQE8gFDiHlo+gQUHn2HJzlMniqKgoCciaNWvqLcUuePDBByXgcL7dtsLNzU0CcsOGDRKQnTt31luSzViwYIHs37+/XL16td5SSjUUcR2ByVBsllKOAloDF4HNQojdQogxQohyNrFOZYBKlSoxf/585s6da7U2Q0NDCQoKwsnJiaCgIIcaOunQoQP9+vXDWkEHHfleATg7OyOEwNfXl379+nH//Waju9s1zzzzDGvXrmXAgAF5lu/bt4+nnnqKa9ccMoSZdcjPQuTcAG/gRbT8xWuAEcBnwDZLzrfmZs89ghUrVsgZM2bIY8eOWb3t5cuXS09Pz+yVkYD09PRUGbzyoCzdK4PBoLcEm7Nv3z557NgxmZ6enme56W88adIks+28/vrrsmbNmnLBggUyOjpaxsfH20KubmCmR2CJEfgFOAVMAXxzleXbsK02ezYEw4cPl4D8/vvvrd52YGDgHQ820xYYGGj1a+nN119/LVu3bi0///zzIp1flu5VWaBatWoSkJGRkXmWr1u3Tr700kvywIEDZtuZMGGCBGTbtm0lIMeNG2cLubph7nltyQTwPCllYynlbCnllVy9ibxXqSnyZNiwYcyYMYOmTZtiMBj4/fffWbdunVXadvSkLQaDwfTyQXR0NIcOHeLy5csFnJU3jn6vciOlJCsrS28ZNkFKSWxsLKC5f+ZFv379+Pjjj2nb1vzj6sMPPyQyMpLg4GCqVatWtoIb5mchTBswOI+tB1CjoHNtsdlzjyAnmZmZEpDOzs5Wac/R33JNSdjDwsJkZGSkPHDgQL5vgAWR373y9va2smp9SEhIkD179pTDhg2TJ0+elIBs1KiR3rJsxqeffioB+eKLL+otpVRDMXsE44Cv0GIOjUILG/06sEsI8aQ1jFFZxMnJiV69etGnT5/sN93iEBISclcMdUdK2mK6R87OztSqVYu2bdsWefVnSEgI5crd7eeQmJjoEJPGycnJbN68mW3btmX/JgwGg86qbMdzzz2HwWDgk08+uavs9OnTPPTQQzz88MPs3r1bB3V2Qn4WwrQBfwA+OfZ9gI1AVeBEQedbe7PnHsHp06flgQMH5M2bN+Xy5ctlYGCgFELIwMBAq0xUTpo06Y6egKNNfhoMBqtNfnp7eztsDyo1NVVu3LhRbtq0SRoMBpmVlaW3JN349ttvs/+2kydPNlv3008/lcHBwfLo0aMlpK5koZiTxady7QvTMeBwAef2Bv5By3D2Rj51hqNNRp8EvitIjz0bApMv/JQpU8qM14otOHLkiHzrrbfkypUri9yGECJPQyCEsKJSha3ZsGGDrFy5shw9enSe5ceOHZPdunWTPj4+8ueffzbbVu/evSUg33zzTdmuXTv53HPP2UKybpgzBJYEndsmhFgH/GTcH2I85gXcyO8kIYQzMB94CIgADggh1kgpT+WoUx/NG6mTlDJeCFHDAj12S/369blx4wZLly4lOTn5jrLk5GSmTZum0i5awPHjx3nnnXcYNWpUkTNJVaxYkZs3b951PCAgoLjyFCVITEwMN27c4JtvvqFu3bq8+eabd5Q3a9aMbdu2WdTWiy++yKBBgyhXrhz79++nQoUKNlBcOrHEEPwHbYK4s3F/GfCz0cJ0N3NeO+BfKeV5ACHED8BAtLd/ExOA+VLKeAAppUOv+FiwYAGgzQ/kRXG8VtLS0ti7dy/nz5+nRo0a9OvXr8htlUbGjh1LTEwMixcvpnnz5syYMYPmzZsXub0XXniBOXPmkJGRkX3MUeZUYmNj+e677/Dx8aFXr148+eSTVKhQge+++05vaVZn5MiRZGRkMHbsWPbv31+stnr37g1oaVEbN25MlSpVrCHRPsivq6A953EG/jRXx8y5Q4Gvcuw/CXyeq86vwPto2c72Ar0Lateeh4ZM2MLDx+QdYtocbVzY399fAvLixYtWa9MW8zSlgUOHDklANm/eXMbGxkpAVq1aVW9ZNuPKlStyzZo1d60TMBgMcuXKlXL37t3y0qVL8urVqzopLB1Q1KEhKWWWEMIghKgkpby7H118XID6wANAbWC7EKKZlPKOISchRDAQDI7RdQ8JCSE4OPiO4aHivo2mp6fToUMH9u7dS9++fcnKysq352GPLF26lKSkJKuFmAAYNWoUAQEBnD59mq5du9KwYUOrta0n3t7ePPfcc9lpUVevXu3QeS9q1qzJI488ctfxuLg4Hn/8cdLT0wEYMGCA2YiiW7duJSkpiW7dupW9dLL5WQh5+619NXAJ+BqYZ9osOK8jsDHH/hRgSq46C4AxOfa3APeZa9eeewQPPPCA9PX1lSdPnnTYt9GSICEhQYaFhclTp04VuY3Tp0/LPXv2yEGDBklALl682IoKFSXFBx98IMeMGSMPHTp0V9nNmzfl/PnzJSBr1aoln376abNtNW3aVAJy8+bN8r333pPz58+3kWp9oJheQ0/ntVlwngtwHqgDuAJHgSa56vQGvjV+rgZcBrzNtWvPhqBx48YSkCdOnLBqu2XNqGzdulUCslu3bkVuwxTuo2/fvnLChAnyr7/+sp5ARYnRo0cPCcjBgwfLH3744a7yixcvyl27dlnU1n/+8x/Zr18/uXHjRgnIhg0bWluurhTLEGjn40ERwk8DfYEzaCGspxmPvQMMMH4WwMdoE8jHgccKatOeDUFsbKyMjIzMDo41ffp02bdv32L5LZeVAGpff/21XLhwoUxNTZWHDh2SrVq1kuPHjy9ye9OmTZMdOnSQf/75p/VElhKSkpLk+fPn5bVr16TBYJALFy6UX3zxhd6ybMLWrVvl888/L8mV/3vXrl1yx44dMiUlpdBtxsTEyKlTp8pPP/3UmlJ1p7g9gkfQ1gJcMO63BNYUdJ6tNns2BLnp2bOnBOTGjRuL3EZ+E8+1atWyolL9qVChggTkjRs39JZS6lm/fr0EZO/evaXBYMj+TThqJNLIyEg5fvx4+c4772Qfq127tgRkeHi4jspKF+YMgSXuo2+juYJuA5BSHhFC1LXgPEUBzJgxgxdeeKFYmZDyczm9cuVKnsftlTFjxpCcnGz1rGRJSUkkJCTg6elJpUqVrNq2Xri6uhIYGEjNmjURQhAcHIyTkxMGg+GuMCSOQK1atVi8ePEdx9q1a0dgYCBeXl5cuHCBwYMHU7t2bdauXZtvOxkZGbi4uCCEsLXk0kd+FsK0AXuN/x7OcexYQefZarPnHsHLL78sg4ODrRrn3NGDzdmamTNnZq8mVdgX6enpcsmSJXL9+vVm6507d04Csk6dOmbrVaxYUQIyNjZWHjlyRB4+fNiacnWHYgadOymEeBxwFkLUF0J8BqjoTUVg+fLlLFq0iLS0NKu1GRISgqen5x3HHGVhVH5cuHCBWrVq0a5duyK3cf/991O9enUiIiLw8fHBw8PDigoVJUFMTAxjx45l9OjRXLlyJd+w5H5+fhw8eJANGzaYbc8UmC8jI4OWLVvSpUsXq2surVgyNPQ8MA1IA75HCzj3ri1FOSofffQRSUlJ2T7Ke/bs4dixY3Ts2LHIq2RNISmmTZvGpUuXCAgIICQkxKFCVUgpiYyMxNnZGV9fX4QQXLlyJc8IopZy/fp1YmNjeeWVV1i0aJEV1ZY+oqOjycjIwNfX16GGhoQQPPHEEzg5OVGrVi0qVKhAQkLCXfXc3Nxo3bp1ge0lJiZiMBhIT0+nWbNmlC9f3haySyf5dRVK62bPQ0O5efHFFyUgP/7442K1k5mZKUeMGCEnTJggQ0JC5COPPCL3799vJZX6s2zZsjuGvJYtWyYjIyNlbGxskdtMTEyU165dkxkZGVZUWjr46aefZJMmTeTbb78tpbwdaTUmJkZnZbYhJSVF1qxZU9arV09KKWVycrL08PCQvr6+OisrXVCcyWIhxL3Aq0AQOXoQUsoHbWKZyhD3338/ycnJNGnSpFjtJCUl8eOPP1K+fHl69OjB2rVrGTt2LPfdd5+VlOpHaGgoEydOzN4PDw9n4sSJLFq0qFi9nvLlyzvsG19MTAwnT56kc2ctPJivry/u7u4Om5PA3d39DueI1NRUUlJSsh0LpJS8/fbbpKWlMXv27FI1GZyeDsnJkJEBUmqbwQDOzlC+POQa9bUZQjMUZioIcRRtBfBBIDvfnZTyoG2l5U3btm1lWFiYHpcuNqtXr8bJyYl+/fpZNfxDWloaq1atIisri3vuuYdr167Rrl07fH19rXYNvQgKCiI8PPyu44GBgVy8eLHY7a9fv54ZM2bQu3dv3nvvvWK3VxqIi4sjMjKSypUr4+/vr7ccm5GWlkZaWhqenp64uNx+p5VSkpKSQlpaWnbgOBcXF7KyskhPT89zSDEpKYkhQ4ZQqVIlfvzxR5trT0+HuDhITTVfz8sLqlUDa9guIcRBmU96YUvmCDKllF8WX4bi0UcfRUrr5491c3Nj5MiRVm2ztJCfe2x4eDjPPPMMCxcuLFK7Tz31FC4uLjzwwAMcPHiQe++9tzgySxVVq1alatWqesuwOWvWrGH48OEMHTqUn376Kfu4EAJPT887nChmzpxpdn4kKSmJjRs3Uq1aNQCaNGlCXFwc//zzT7HiDhkMkJICaWmQmQlOTtpD/dYt7e2/IJKSICsLTH9OV9ciSzGLJT2Ct4FrwC9oE8YASCnjbCPJPPbaI5BS8uijj5KZmZmdsD41NZX4+HhcXV3x9vbWWWHpJL8eAWhpKzMzMwvdZk5/+piYGC5cuED16tUJCgoqjlRFCfPjjz8SHBzMkCFDCA8PJyYmhu3bt1O5cuVCt5Wamspff/2FlJLevXvj7e1NXFwcMTEx2cahsKSkQGys9iC3Bm5uUJxOvrkegSWG4EIeh6WUUpdFZfZqCPJi8eLFBAcHM27cOL766qsitxMdHc2WLVvw9/fH3d2do0eP0q5du2LF6y8thIaGMnbs2OwIkqC5x44YMYJOnToxduzYQo/5ZmVl8cMPP5Cens6YMWOsLVl3Nm/ezJYtW+jZsyc9evRgyJAhnD9/nlWrVlGnTh295dmEmjVrEh0dzZUrV0hOTmbKlCnce++9vPtu0RwcL1++jLOzMz4+PoX2tMrKghs3IDGxSJfOF1saggKHhqSUjvnLKQVUqlQJHx+fYk9aHjt2jFGjRvHggw/SqlUrPvroI95//32HMASjRo1izZo1rFixAtDmBorrHuvs7OxQ7rW52b59O3PmzMHDw4MePXrw999/c+rUqbuy4jkSGzZsQAiBt7c3Fy5cYMWKFbRv3z7bEJw4cYKbN2/SqlWru9bd5EVR51akhOhobQ7Ansi3RyCEeE1K+b7x8zAp5U85ymZJKaeWkMY7sNcegZQSg8GAk5OT1b0Wjhw5wty5c2nSpAkNGjRgw4YNDB06lD59+lj1OnqRmJjIxYsXqVixIoGBgVZtOzw8nG+//RY/Pz/GjRtn1bb1Yvv27ezcuZOuXbvSuXNnTp48SUZGBg0aNCgTC+diY2PZsmULlSpVys461rhxY06fPs2JEyfy9NK7fPkyq1evpk6dOsXK7nfzJsTHF/l0s+gyNCSEOCSlbJ37c177JYm9GoK4uDi8vb2pUqUKcXG6TK84FH/88Qe//fYbv/zyC5cvXy7UQrrExETWr19P1apV8fDwoGvXrnTq1ImdO3eWgHKFtZg/fz4rVqxg0qRJjBgxwmzdxx9/nPDwcJYuXZqnY8DGjRvp3bs3Dz30EH/88QcLFy5k3759/N///V+BPeu0NG1S18lJMwSWTAIXBb2GhkQ+n/PaVxRAZmYmTk5ODrWyU0+GDRt2xyrS8PBwgoODAQo0BhEREYwcOZKGDRuyceNG3nzzTTVRbIecOXOG7du3M3jwYBYtWkR4eDjPPvsstWvXvqtuQfma/fz8mDRpEg0aNAC0F41Vq1bRp0+fbENgMGhDPgaD5vWTlqZ5ABXBX6HUoXoEJYxpeAjg+PHjjBkzhgYNGhAaGlrkNlNSUsjKysLT05P09HRu3ryJq6urwyTffvnll/Hy8uKNN97Ay8sL0BaEJSUl3VXXkvUF4eHhvP766/j6+vLf//7XFpJ15ezZs8TExFCvXj1q1KjBkiVLuHDhAuPGjbN7gyel5o2TnAznzl0gOvoSzZvX5bHHhrFv3z727NlDjRo12LNnD/Xq1aN9+/ZFus6GDRuIiIjgwQcfpG7dulb3ACoKeg0NZQFJaG//HoBppkkA7lLKAgO9CCF6A58CzmiJ7OfkU28IsBItTaXZp7y9G4KcHDp0iDZt2tCyZUsOHz5c5HZCQkKYPn06b7zxBoGBgTz77LMEBwcX2ce+NJGZmYmbmxtSSlJTU3E1OlI7OTmR129XCOGwK2gtZdy4cSxZsoTFixczfvx4unbtyo4dO9i2bRvdunXTW16RSU6GmJi7h16cneG3374mJuYKTz/9NFu3bmX06NE89dRTfPvtt8W6ppSaB9BNW2RsLyS2NAT5Lm+VUjpLKStKKStIKV2Mn037lhgBZ2A+0AdoDIwUQjTOo14F4EVgn6VfyFFo2LAh+/fvz17JGBoaSlBQEE5OTgQFBRWql+Dp6Un58uWpWLEi1atXt8gzwh4wGAx8+eWXzJ49O9sIAAQEBORZP7/j+ZGens7hw4c5cuRIsXSWJu655x46dOhAzZo1AS2Xw8yZM60+0V6S5GcEQHtL79t3HFOmTMff35+goCAef/xxOnbsmF1n7NixVK1alTVr1uTZfnx8PJcuXSIxl89nXFzpMAK2psB1BEVuWIiOwNtSyl7G/SkAUsrZuep9AmwCJgOvOmqPICIiguDgYAICAliwYMFd5aGhoQQHB9/h4ufp6VnsmDqOSnHuV0ZGBunp6bi7uxMZGUlgYCD+/v75rmJW6EtCgvZAzs2vv4YSE3OVvn2H4ecXgLs7GG3fXYwcOZIffviB7777Ls9V+HPnzuWNN95g8uTJvP/++8TExPDXX3vJyChPx47drfyNioYuPQIr4IeWjN5EhPFYTmGtAX8p5Xob6igVJCQk8Pvvv7N9+/Y8y6dNm3aXn3dycjLTpk0rCXmlEnM9pP/+978kJyfj4+ODEAI/Pz+Ljea6desoX748w4YNw8PDg5YtWxY78J89cO7cOX766ac8h9T0REpt8tU0opeZqR3LytJ6Afk52YWGLmDWrFeJjAwnPPwce/bsJTIyNs+6X375JdevX2fo0KF3lWVkgMHgSa1a/jg7V+PiRdi8+TDDhg3g888dI/5UQVgSa8gmCCGc0BLXj7agbjAQDIXv+pcW/P39Wb9+/R1+3Onp6cyZMweDwZDv22hZfUvN/caf2yvIxcUFJycnatSoQXR0NN27d7e452QwGLJj0VSvXr1Y8zP2wLlz54iLi2PkyJGcO3eOY8eO0axZM5tfV0ptWCUzE9zdoVw5cHHR3CyTk7XNxeV29E0nJ228PyND88YR4rZxyIsBA0bSosV91KoVwJw5r7F+/QoWL/6exx8fQGZm5h3B6PIKO5GUdFvHyJHPM3Lk89llNWoE0r17X5o00cUnpsTRbWhICFEJOAfcMp5SE4gDBpgbHrLXoaG8SE9Px83NDRcXF/z8/IocZXPy5MkcPHiQWbNmUa5cOSZNmkTz5s3vyuNqTxQUdTT34rwJEyaUigQz6enaA88aawYzM7WHYnq69q8pcJmpfSm1zyaPZBcX7fOoUcPYsWMroaE/0q1bT0aMeJS1a3/NbvfkyZM0bnzXdJ1FmB7MpnDJQmhv7iYXSik1vVlZt3WXBB9+OJ2dOzfx6qszOXVqO7NnzyYkJISpU+9e92rqaRQU+dNEePg5duz4gxEjxhcrGVJeZGVpBsmUtNB0X11coEIFbTjIhK4hJorBAaC+EKIOEAk8BjxuKpRS3gSyozkJIbZhwRyBI1GuXDmmT5+Oh4cHgYGBjBs37o40lpamnDx06BB//vkniYmJeHh4sH///jvC8tojBfWQnJycyMrKonPnziQlJZUaD6nERO0BU63anf+J8yIjQ3uQ5yQzU1uZmpyc/8Kk9HRtpboQIs9QBrGxN4iLi+PaNQPR0eDrW5/mzdvSrFlb6tS5FylrExWl6ataNX+jlZmpuWqmp2ufTQ/40sirr77Hq69qwzinTu2iQoUK2a7GAKtWrWL16tUMGDCY9u0HFsr3v1evpqSlpeLiUo7HHhtfZI1S3jbg16/DtWva/Ic5vL0hIKDg31JxsdnTQkqZKYR4Di21pTOwREp5UgjxDlqmnLyn7x2UK1eu8Msvv+Dn58fAgQMBzdUxZ1CsqKgoXnvtNQBq167NnDlzLBru+OSTT7h27RqtWrWiXLly7N27t0gRGEsTAQEBefYIcg4NOjs7s2PHjmJdR0qJv78/6enpREdHWyX8R0YGXL16+yFrenNPS9M2d/fbq1HLldP2QXvQWprOevjwroSF7eSFF97ipZdm3lG2cOEvpKWl4uVVAYApU97P/q6JiQlIqRkQ01ahwm2jY3ojNYVOLs38888JXF3dCAioe8dCzddff5dZs+4MNnfkyBGWLVuGt3dd2rQZeFdb7733Mrt3b+WNN96na9eHAe1+JSTcoGPH7mzb9jsNGxYudpfpd5CQoL0c5B7+soTr1zX31apVtUQ1tkoxYrOhIVthr0ND27dvp1u3bnTp0iXfCWOAZcuWUa5cOQYNGlQm4sLkR0FeQSEhIezcuZPp06fTqVOnQrW9bNkyvvnmG5588knGjBmDq6srGRkZpKWl3eGiWhSuX7d+1Mm8qFNHM1iurq78849lT+xPPnmbTz+dyfPPv8nLL79jS3klQuPGXqSkJHPy5C08PW+//Ts5gY/P7bfojAzYvv0Qhw8fo3HjVjRu3OKutiZMGMjmzWtYsGAVvXo9CsCDDzbgwoUz/PnnWYKC6lmsKy1NMwDXrlm3B1WlCvTqVfTz9fIaUuSgZs2aTJw4kQEDBtxx/OTJk+zZs4dU44DlU089xciRI8u0EQBtQvidd97Bz88PIQSBgYF3eAUdPnyYDRs28O+//9KyZUuaNm1qcdv//vsvf/75Z/Yw04ULF4iOjrb6+K8t+euvc9St24CRI5+xqH5iYgK7d28FcIgFd1JKgoLqExRUD3d3Dz7/PIQ2barz9df/xWDQIoDGxcGVKxAZCffc05qhQ0fnaQQAZs78nPXrD9/hKlqxYmXKl6/ArVsFjN/kIC0NTpzQrltah9HyQvUIdKZevXqcO3eOM2fOkJGRQXJyMvXr16dSpUoWt/HJJ58A8Mwzz5CRkcG8efNwd3fn1VdftZVsmxMaGsqECRNISUmhWrVqfPLJJ3cMk4WFhbFq1Spmz769LCUjI8OiuZELFy5w/vx5goKCuOeee6yqu6R6BOb44INpXLsWxf/930z8/AKYNWsyixd/CEDjxi1Zv97xvKQ++uhNPv/8PV56aSapqSkcPLibV155j3btuhS5zczMTG7ejCcyMpxduzbj71+H/v3vDm5nMGjDfM7OcO6c9tkW2LJHYN8zig5Ay5YtqVatGs7OzkydOpWVK1cycOBAPvzwQ+rVs6w7On36dJKSkhg7dizJycm8+eab1KhRw24NgWlYKCUlBdDCCucOKNe2bdvshOW1a9dm+/btFueBrlOnjsMmaAHYtOlXzp49xfjxrwCQnHwru6y0LI6yNsHBk3n66ecpX74CkyYNZf/+7SQm3l4SHBl5iWPHDlCzph+tWnWwqE0XFxc+//w9vvlmHgAPPNCf++8fQVaWNu6fkqINQ+VcA2GvKENQQiQnJxMXF4eXl9cdweBWrlyZ/dkUEGz16tX06dPHYkPwf//3fyQmJuLl5YWLiwtTp06168lic4vrcvYK+vbty/Xr18nKyqJ69erFut7Vq1eZO3dukdMSliSnTh1h3rx3aNeuK0OHjsHNzR23HG4lkyfP5saN6/j6alE4X3ttNi+++DYVKlTE3d0xhxwrVKhIhQpabuEpUz4gOHgy9957e7jwwIEdvPTSEwwc+HiehmDBgrkkJd1izJgXqVr19m8gNVV7GQkMbETjxiM4c8bGX0Qn1NBQCbFq1SqGDBnCo48+yqpVq/Kt99VXX7Fp0ybGjBmTnVSjrGFJQLldu3Zx9OhROnfuXOhMbOvWrePff/+lT58+NGjQIHt47uzZsxYb3/woiaGhNWu+58UXsz2xWbr0Nx54oOAkRFevRvLSS09QoUIlFi36tcD6pY2MDO3+JiVp8zzTp/fA378x8+b9Ts2amu99foSF7eKrrz7ivvu6MG7cS3eVd+oUSFTUJXbsuEDt2kEA/PHHahYt+oQGDXrTp8/LuLjoO4ekhoYcAFdXV/z8/ApMUj9+/HjGjy+6r7IjYInr6IoVK5g3bx7//e9/OXLkCIcOHWL8+PEWTRovW7aMMn2H3AAAIABJREFUn376iVq1atGgQQPeffddkpOT7aI3AHDffV347LMfmTv3dWJjoy2azExNTUFKyd692/D2LnrvSQ8MBm0B2OXLtxeuxcUlEht7CS+vqkREwLZt2zl8+Bs6dOjCsGF356Fu27YTbdvm7102ceLrxMXF4unpTVqa5nEUFXWdgwe34ekZoLsRsDXKEJQQ/fv3JyIi4q7j48aNY/Xq1XzzzTf079+/0O2mpqZy9uxZKlWqlP2gPH78OCkpKbRt29bicfPSREhISJ4J63MuruvUqRNLly7lo48+4saNG9y6dYtOnTpZZAj69euXbQSAPIOQlWZ8fWvTv/9wHn54EOXKlbtr7cMff/xKVlYWDz7YHzc3NzZu/IWJEwcD0LPngLvWHdgS0yIqc6SmarH+K1YEV1ftjd/VVZt8jYvT3DBzL5zz92/CvHkXAa3nePnyWVatWooQgoyMdJKSbjF06GiqVDH/4pWWphmZZs0mkZpK9tCPszP4+PRi2rTNVK9ehytXzpCQEEP9+h1wcnK85FLKEOhMUlIS169f5/r163h6euLj48PJkydJS0uzKLHM+fPnad68OQ0bNuT06dMAdOzYkaSkJBISEqhQoYKtv4LVGTVqFL/99lt2Vqm8EtYPHz6c7du3M3/+fHr27Em/fv0sHiJ6+umnefrpp22i3bQi2FppqaW8HV7CtCjJzc20UM01O36PlLdDTLz22lhu3ozn8OHrlCvnxrFjB7Pbe/jhQTRu3NI64nJozB1iwmDQ9EZFaZo9PTXdplhDt25pD3wXl6ItXHNxcaV69dthtRs27EJw8Fc0adKAjz8eTXj4OXr2HJBtCKSUZGZmkpmZgZubJ1eumE8yn5UFVar4UaWKFidz/PiqJCXFs3DhNSpWtK8elSUoQ2ADQkNDmTZtGpcuXSowl+4XX3zBZ599RkpKCikpKVy8eBEvLy8efPBBtmzZYtH1GjdufIcbZOvWrbOzltkrX3/9NXPnzsXNzS3fieCnn36atm3b0r59exo1alTka+3Zs4fo6Gg6depUrEln0HzWo6Kgdm2oUePOMim1h56rq2YwoqPBw0NbMersrD1Mk5Nvh5jIyso7zMTOnaEI4USrVn3x9Lzbzbh580dITU3k+HF3ypWDWrUGEhwcSJ06rfH3b8GpU5ohKVcO/Pw0DblJT9fmOkwrjDMztX9NK2INhtsGz5KfWWJi3nMn1vqJ+vrei6/vvQgBQ4dO4MaNa3f0Bo4dC2PQoHY0btyG994Lu8P4GAxZ/P33Ttzdy1O3bps8269bty0pKQlkZJTy5dZFRE0WW5n8VsSOGzeO7du3M3z48DwDYUkpSU5OZuvWrQwdOpSuXbuyadOmkpRuV9y6dYv4+Hi8vLyoWrVqoc49f/58dmgJV1dXunfvzrZt29i6dSvduxfPvXLvXjDFCDTlBjIYtIeu6eFeXJ57LoDr1y8zbdpmVq+eQ/nyVXnxxR8tOnfXru+4cuUM3buPx9tb8ypyc9N0mVwgLX2468m//+5jx47/ce+999Op0+N3lFWpAvXraz0PEwcPHmfEiNYEBbXivff231H/1q14JkyoiqdnJb7++kZJyC8SamWxHZGf6+Py5cs5evQokZGReZ4nhMDLy4v+/fuTmppqsREoTlYze+bLL78kICCAWbNmERMTw59//mlxlrFBgwZRr1697KG0Tp06MXDgQKvneDaFOE5N1d6GrfVw7djxMdq3H0a1aoGcOLGZv/+2PN7S5s0L+fnnmVy9ejb7mOmN32DQttJuBAAuXz7BH3/M58QJrdeckBDDgQO/cvr0duLj4fhxbXXvuXNw6BBkZDRj+fKMu4zA/7d37mFRVesf/yyGOwgiKF5QLPGSmkmanjJTf5pZndLSzMJLZZZmdtJuVKeTlnawi5WadkwtMzJTy2OlpaUd08q8K94VQcUboCgiyGXW74+1NwwwM9xmhkH253nmgdl77ZnvrJm93nV51/sCSGmmdetbiYoq3/4CR6PHdsrJUb+XS5eoUFA8R2BMDTkYW1EzMzIy2L59e6ne63//+18tKuK9DBgwoEJBz8qK2V+Tef/99zl48CBjx461ugCs75NYs2YNLVu2ZPTo0QwZMoRFixbZfd34+HgOHVKN4F133cXbb7/N5Mk1K/lITIwKIldQkM9LL62kXr2IwnNSSnJzszGZvAo9Xc6cSeTZZ1sQFhbJHXeMo23bHsWuqYlERf2NESOm07hxGwCOHdvFtGn30a7d/zFs2Pt4e/ty+XLLct1PdeqEMnFi1YIX2uLChSKX4pycokXwffsgMRFOnFBB5axtSAsKUiObLl0gOlqVSUlR03mOxjAEDsae62PHjqUX6Xbu3Mmnn35KQkICX3/9NXfeeSfDhg0r833i4+MZMWJEqXWAy5cv8/jjjzNhwgRWr17NDTdYj63i7nz33XesW7eOgQMHWjUEo0aNYurUqezatQtvb2969OhR5jqBbjj1uE4nT56s0YbTZPKkY8fi+wfy8q7wyCMBeHn58Pnn6nNu2aL2DKSlJdOv3zg8PcsXWO/UqUNs3PglXbsOpGnT8sdycgVNm7ajadOirHLBweF07tyfiIh2xMbegBAexMc7rlu9YsVUfvjhPe69N5a7755gs5zZDHv3qnhDO3aAlabAKvp+QA8P9cjJUbuXt25VD51u3WDDhip8EBsYhsDBTJkyhUcffZQ8iziz9vIK3HPPPTRp0oRffvmFRYsW0bBhQ1asWMHWrVvJy8sjJSWl1IKz3qDZWgzOyckhJyen1BRVTeKFF15g0KBBdhOo3HnnnZw4cYLc3FySkpKYOHEi8+fPt7k4b2/H8pAhQwCKhTN2Ry5dOk929gXq1m2El1fpIPVmcz7e3n7FzoWHtyAgIITWrW8ttxEA2LRpCcuWTSQtLYnRoz91iH5n0bRpe557bjm5uTls3aoi3FuOBnJzs3nvvfvw8PDgpZdWVvj1zeYCLl5M5cKFMzbL5ObCjBlguYTp46PyKNepo8KN66HGW7SANm2gaVOVc6BkvEMpldvs7t2wfj0cO6YW9Z0VMMBYLHYCcXFxvPzyy0CR62Pjxo1Zu3YtPXv2pHfv3oVlLT2M6tWrxzPPPMOMGTNIS7Oee9XDw6PM6JERERFs3ryZ0NDQGhVRszJYW5wXQiClLKx7UEbA2kjNkk8//ZRHHnmkSnosF4udwc8//4d580bTq9dInnhiLvv3/8auXatp3743bdv2LPP6rKwMUlOT8PMLIjz8WrtlDxzYyPr1C4iO/jseHiaio+9ySL4GR3D8eALnz5+kSZO2hYve9sjPz2PYMG88PEx8/nkOJlNRH3jv3v/x7rv30r59byZMsL7r//z58+zZI8nNDUJKT/766yAXL+Zz7bXXkZIiSE1Vo4GMDAgIgF69oH17aNu2dCNfWYydxTWMsWPHFmYdGzBgAACTJk1i8uTJCCEKDUHJRiw9PZ2JEyfiq2cqsUJZRsDf35+4uDgaNmzooE/jnqxevZqXXnqJxMTEUr18vXOTnJzM0KFDy3ytwMBALl26RL6rV+gqSb16EYSGqs2DCQm/8O23k5HSXC5DsHHjl3z66Vh6936SESM+tDqq0GnduhutWt3Cs89GcfZsInFxO4iMdI+pxjVrZrNmzSwefXQmffuOBVSvPT8/D2/v0vePp6cX48cvIywsspQxy8m5pLmGls5defgw/Por/PlnSImooq2A0kZfiBMEBz9L//5z8PAw4eVV/ijC1YlTDYEQoh/wISpD2VwpZVyJ8xOAx4F8IBV4TEpZzlk19+X06dMMGjSoWGPcs2dPJk2axG233VZ4zNpUhZSyMOpmRTGZTIwYMYJXX32VYcOGlbmHwV2RUrJkyRKCgoK44447rPZCMzIyyu0lZA9/f39mz55NTEyM2/R27dGnz5P06VOUg6B9+z6YzQW0b9/H5jWnTh1k8+ZviYhoR2hoU5o2vZ61az9h3bq5zJt3AV/fAJvXCiHo0OEOEhM3k51d/rj8ziY8/DratBmEr29r8vMhPf0Izz4bRYMG1/Lhh0esXtOly/1Wj99wQz+mTcsgI0MU7iwOCYGVK+HHH4vKNWsGKi6k5OzZleTlHaN79zGEh0PjxnDsWCIzZtyE2VyPxMQtzJo1nLi4HdSt6/6dMmcmrzcBB4HbgROoHMYPSSn3WpTpBWySUl4WQowBekopSwf8tqAmTA3Vr1+ftLQ0zpw5Q4OSu4ossBVcrTL4+/szYsQIFixYYDOrV00hOzsbf39/vL29i+VwtmTy5Mm89tprVXofk8nEggULHFY327fDihWqwShPXqGMDDVvbGcAWGHOnTvJRx8NJTS0KU89tQCAefPG8PPPHwOwaJHkwoWzjB8fRX5+HvPnX7C6brBmzWwaN25DmzYqnr/lVEp5yc+HQ4fUvHi9emqe3N9fLYampiqPGi8v5T1z5IhqfAMClAtlnTrqucmkFk3PnFELr2lp6vmlosjamEzQsGEuKSnPAfMIC2tARERbm2sBUqr3O3hQbf7bvVvNx1vDZIJ+/aBTp3Q2bnyF/ft/49139xYrs3nztxw69Cd33/0cfn5BpKYm8cknozhwYAMvvbSKjh0dEzyypk4NdQEOSykTNRFfAf2BwlqUUq6zKP8nUPY4vgbQuHFj0tLSWLlyJXfeeSfh4eFWy9nyMKoMc+bMKXf4ZncnLy+PBx54wKaRjI+Pt7n4XhHMZrND62X2bPjkE9W4RUdDjx7KXTAnRzV+J08q33ZPTzhwoMijJDBQ7UL29VU+/JmZqrHy9lbHdC+SS5fUQqOfnzpWUKDK6CEmTCbIyvLlzJmZ+Ph4kpqqJ5yfTlDQGEJCmjFlCoSHN6Bt2+OcPXuRpUu9CQm5QmJiAhcv5tC6dTf8/LJZsOAQUl7ittv+htnsx5UrytfdMteuEEqHvutYJz9fabtwQV3jDDw8ioxKZiakpHgDMwgKeo+0tHsJCDhV6poDB5JYtuwYR4925NKloGLn/PzUoq2fX1GQu+BgeOIJiIpS77F27VzCwpqVet2jR7fx3Xdvk5V1nlGj5tCkSRsGDHiV/PxcoqK6OKcCHIwzRwSDgH5Syse158OArlLKp22UnwmcllKWcuoWQjwBPAHQrFmzTo5qPJ1J3759WbNmDatWraJfv34kJSWRmppKZGRk4SghPj6eYcOGVXlUEBkZSVJSUrnCN18NNG/e3CEGVK+3L7/8ki+++IKHHnqoXK67tvjsM/jwQ9i503poiJLoO3pryNJEpWjSRHm6nD9f5Euv4vioUUJeHoSFQbt26vzhw/vYtWsxvr7X0qHDcMxmNUoIC4PISOWBExQEgYESk0lN5eXkwK5dsHw5HD2q3rd9+8vcdps/6ekqaunRo8oIF3EC+IFGjSS9erUnOXkOnTr9nZtvHmzzs/z11zdkZqbTu/eoYscPH/6L779/h5EjP6ZOHftB7qpCTR0RlBshxFCgM9DD2nkp5RxgDqipIUe/f0ViA5WXHj16ULdu3cLdqu+99x4zZ85k+vTpjBs3DlC+6xs3buTjjz+2awx0LxhrWLqmlid8c1VwRj1VBlub9iqCZb0lJiayatUqbrzxxiq95iOPKJfAbduUy9+WLWp04OenGr/69dW0UX6++r9jR9Wbz8hQPdC8PNXD1WMP6YHmCgrUa/j65vL8880QIoS3307A09NEbi5Mm/YgZ84c5KmnFtGoURt8fNRrZWcX+adfvqxeMy9PJVb39lYNbGKimmo5dGgtwcGBREZ25NIlb/z8iqZqfHxg48a57Nr1Nf37T6Bjx35IqYydHj7D22J2ydNTPXx91WtUhL17z7Jr1yQiI7sxfvxwm+ViY6M5eXI/Eydu5NprO9GlC3TuDN9/D0uXQkKCPwkJxa/x8TFTt24Cvr5fkJz8LiARojV5eUPZuHEh9es3tWsIbK0xREV14dlnl1Tsg7oZzjQEKUBTi+cR2rFiCCH6AK8CPaSULo/o5Kzdua+++mqx502bNqVz586lvHlmzZpFt27dCt0bSzb6Jef47TXGU6ZMsRrnyBHTKK7cxZybm4vZbLbpPWXL4NkzmKC8g7KyskrV2+DBg4mOjqZly5YO0V+vHgwYoB7lISSkfA2mlF7MnLmZCxfOEhFRtN/h+utDCQ9vQETEZSqagbNrV/2//wPUdJkQstTC+fnzaezbt56AgNtp08Z5CZOioroyc+ZxgoNtr62ZzQVkZqaTn59H48atC3W/887fyc/PZfr0n1m9Wo0EGjRQAQCbNYPISA88PTsAb2M2x5GSso+IiLacOLGHsLBmRES0s/melWHTpmUkJm7hvvv+aXdB3h1w5tSQJ2qxuDfKAGwGHpZS7rEoEw0sRU0hHbL6QiVw9GKxrWmG0NBQAgMDK9z73bRpEzExMfTo0YN58+ZVWE9Ve93x8fHExsaSkpJC/fr1mTZtmkMaalv1pE+vOJIlS5YwePBgBg8ezOLFpYOp2QrsN2LECFauXFm4JwPg3LlzLh29lNxH8P3377Jr12peeOE7u66ajmDJkn9x5kwiffuOpVWrmyt8fXZ2JjNnxtCq1S307x9b7FxOziU8Pb0rtCHNmUgpuXDhTDGPnFGjwrh0KZ327Xtz663D6NHDOaHGy8uLL3bg+PHdvPnmn0RFdS37gjKokUHnpJT5wNPAT8A+4Gsp5R4hxBtCiHu1Yu8AgcASIcQOIcQKZ+mxxDJQm6255vT0dJKTk5FSFvZ+yxPQLTU1lSNHjnD69GmuXLnC+fPnK6QtJiaGpKQkzGYzSUlJFW68YmJi+Oqrr5BS0qJFC4c1framYxwxTVOSnJwcvLy8CAiw3ouKiYlhzpw5REYqn/DIyEjmzJnDrFmzCusuLS2NtLS0Stejo4iPf4Hdu9ewe/fPTn+vzMx0Nm6MJz29ct9JamoSmZmprFgRx6VLxX+3vr6BLjECcXF38vzzbUlO3mW3nBCilFvmqFFzuP/+10hI+IWdO1dZve7ChbMkJKzl1Kmi5MPr13/O8eMJVstXhZ49H+P++1+jTh33z19Q63YWW+tNlpfy9H6zs7M5fvw469atY/To0fTp08fl4aSTk5MZM2YMHTp0IC4uruwLyoErRwSgenwFBQV42ktE6yAOHDjAunXraNmyZbFd35Wh5Ijg6NHtXLhwmg4d+lY5s9WOHavYsWMV0dF3c8MNpbuGR45s5vffF/HQQ3GVarR//HE627Z9z2OPzaJhw6rlbq4s48Y1Jy0tmebNo3nxxR8ICWlUoetPnTrIzp0/ER7egujou0qdnzTpNvbv/42GDaN4//1D7N//G5Mm3cY113TiueeWl2uXcnVRI0cE7oo1F8vyUp7er5+fH61ataJLly54enpy8uRJmjdvjhACk8nE+PGlE2c7msjISFauXOkQI6CPnqwZAUetP1hDCOESIwBqOm/MmDEsWLDA4a99zTXRdOx4p0PSG+7bt56ffprBkSObrZ5v0eImhg2bVumee79+z/DKK6ttGoGlSyfx/PNt2bbt+0q9fnl4662tmExeJCVtJz39uNUyEyd25623+nLuXOmQ7o0ataJfv3FWjQDAY4/NpkmTtjzyyExAJZzp1u1hTp06QFZWxUbvVxNu4TXkSspqzE0mk81gbhXxvtmzZw9BQUHs3Vu0+cRsNvPBBx9w5coVZs2aVe7Xqi7sjZ4iIiKIi4urUfsTbNG6dWuefPJJunat+jyuM7nppgEEBzegVSvbSdidSWZmGikp+4pNqziaOnVCefbZJeTmZtOgQelYSDk5lzh4cCMeHiYCAyvuqtm0aTvefbdwmRJvbz+efjoes7nA4bmIzeYCUlL2k5mZRtu2Vh0i3YZaNzVkzwe9LDfN8uzQXbx4MQsWLGDt2rU2d8UKIVi4cKFTG1EpJRkZGQQGBlY68Jy9ulq/fj3du3evikSbvPnmm2zYsIHY2NgqZwxzNZZTQxs2xLNu3TzOnj1Ct24xDBnyFseP7+Grr16mTZvu3HPPC9WqtaKcOXOEnJxLhIe3wNc3sFo0SCk5dy6FU6cO0L591abxnEXdusp19sqVi/TrF4yPjx/r12dp7YtyuTWZlKuwyVQ8v7Xe/OipQM1m5fKbn6/2T1iJZF9u3H4fgSux5WLp4+Njd2FX36EL9t0lV69ezapV1heqdKSUTt/te/PNN7Np0yY2bdpEly6V291ob/RkL3RGVYiPj+ff//432dnZbNu2jQ8++KDGjjq2bl3B3r1q87yeSSslZS/btn3H9u3fc9NN91XbXHxlCA9vUXahKnD48CZ++WUObdv2ont360EGhBCEhka4dC5fCLWL2d9fNdxSqn0SQqgG2tOzaKd3SIjaB6II4vrrOxEUFEJg4GX8/avmQurjRKezWmcI9EZl1KhRhcHd/Pz8SE9PL/Pa8vjOP/TQQ8yfP7/M13KGt40l9erVo06dOmRayxheTmz560dGRtK6deuqyLOKPhWlfy9paWkuSRxz5coV0tLSMJlMVY7a6uurGggpoXfvJ6lfvzm+voHccIPyvb/uulsJCWnE+fOnOHRoObfc8jxmM2RlFaUrtLbTOCPjDNu3/0CLFjfRrNn1VdLoTuTkZHHiRALNm99IUtIOfv11PufOncDDw0RISKNiEVULCvLx8DA5NDigEKqB9fUt6p2bzeo78PaG8HDVsFf2LVescO+4aDq1bmoIVIMzcuTIYlM3ZW1GsqQsT5nyhEBwlreNTn5+fpUXW7/44gtGjhxJbm5u4TFPT08+++wzpzTMrvZM0vn111/p1asXPXv2ZN26dWVfYIf09KIYO9nZqqeo9xh9fNQu3OXL41m+/AsGDhzBPfcMKfUaeXnKIOg7i69cgd9++4ZJkwbSufMdxMUVhcQUouihZ7fSn1ui/7SlVPGHvL1VYDc9daI+TSGl0q0vk+m5jAEKCszMnz+Z06ePERs7Byk9ir2+bgALCoqee3mp19bzIVveYkLAQw+15vjxgyxevBNfXx82b/6VhIQtLF8+l169BjNu3OLCOEarV89izZpZDBnybzp1usfmdxAWpjTon1Ovf5NJ6fH1VTu1vb2LJ7h3d3x8oFHFnKiKYUwNWbBz505GjRpVav6+IgaxrN68teknS5zpbaPjCI+b2267rZgRAAgODubs2bNs2bKFAwcOODTkhCv3KlgSEBBA48aNS+WTriweHio0g41tEAwYEMOAAbbryctLPerUKTqWnl6fe+4ZQseOXWnhxBkaIWzrBg+WLp3BuXNpvPLKG4SHN67Se02dGsvx42rh2cMjkw4dOtChQ2t27+5Mbu4FOnfuRnS0MoaZmeDjk8OJE3vw9Mwp7KXrgfm8vZWhCQqyp796kFKSn5/v1kmiat2IYOHChQwfbjuGiT2vIR17PdSff/4ZHx8fEhMTef3116t1l2tVSUpKYvjw4fzxxx+lkrZ4eXmRn59fyoAGBATg6+vLuXPnrH5uwKbxqK4RgSPRE5UnJx9h586/aNfuRs6cSWHv3h3cfnt/1q1bSUhIKP363Y+PjwPjT7uIBQtm4u3tw913P0BQUNXyJt57b2d2797K4sXr6dKlbMeD/Px8XnjhUd5+e75bN6qWLFr0CVOmTGDIkCf45z/fq9JrGSMCB9KrVy/CwsKspoIsjxGw15uPj49n+PDhmM3manev/O233/jXv/5FQEAACQkJleq1N2/enGPHjlnN3GWZk9mSrKwssrRUTpbrLsnJyTz66KMIIQpHGcnJyQwbNoyhQ4farHtXjJ5KpguF8huvktc3adKM556bwunTJ5g6NZYHH3ycixczWLVqKaGhDZgyZQL5+fns23eZM2dOUrduKD7OXAV0MCNGWA0eXCmmT/+KPXu2065dNACrVi3D3z+Arl174OtbOqGDp6cn77+/0GHv7woCAgLJyrpEamrpsNjuRK0YEeg3anJycmGDY2tNoKy1Aj1nsGU5a8egepPCxMbGMnXqVLtldN16nURGRnLXXXcVxutxZL6EyqDnHHZm/ZW109zLy6uY8QL1Gxk9ejTdunXjH//4RylHAz8/f4YNG8uBA7uJiRlDRkY6e/Zs54477uN///uR8+fTSUo6xF9/rWfJkg107mx/X0BOTjZHjx4iKuq6GtMTrihnz56ie/dryM29wrZtafj7B5KefpaLFzOYOHEcDzzwGAMH2h7JuyuXL2eRl5dLUFDdKi9yO3NEcNUbgsqElKjIwnFZVMe0Rnx8fDGvqJqIo7OH2cJRuQ1K0qRJJBs2JNk8P378MNat+4F33vmM22+/12Y5gJUrlzJ27ANER/+Nb775w8FKK8aFC+eZNu1fmM1m3nzzI6tldu/eSr169WnSpHwbMO+//2a2b/+zcPQ0a9YSunZtzNmzpxg8eCRffz2PwYNHMnXqXEd+lBqHMTVUBSoTUkJKSWRkJMeOHcPDw6PM6SJ7OHuh0xqvvvpqjTYCAAUFBS5xHXXW93PyZOnXzc6+jK+vH0II4uLm4u3tXdjpeOedVwgKqsvo0S8BsGnTek6cOMrAgSMICwsnPLwxffuWM661E9m3byeff67CM7z0UhyBgXW4ciWn2HpHbOzj7N27o9hoZ8+e7TRu3IyQELUbeNy4IWza9D8WLVJeWh4eHjzwwKPceKOKmtqwYROEEAwZ8jhdu/agZcu2rvyY1YKUpcN/u4oa5DxVOSpzo+u9eLPZXOXMXo5KClMRqsP4OAPLTXzOwlnfT4MGxbtuUkruuqsjL7zwKHl5efj4+BTe9FlZl5g9O44PPphIauppDh7cw5AhPVi2bAHnz6fTpUt3fvxxN6NGPe8UrRXhppu6M378G8yevYyAgECSk4/Qv/9N/PjjN4AKo9KoUVNCQxsUzv3n5uYyZsxAhgzpwblzaeTn5/PLL9+RmnqaEyeSmDFjMQkJmXTqdEthnSxf/hd//plCdPTfuP/+YVx/fadq+8xV5eXtmdAvAAARMElEQVSXn+CaawQpKeq+/P33tdx+e1sWLfqksMyXX/6HPn2uY/v2TYXHPv10OhMnPsPJk9ZjLjmSq94QlHWjl7TAJRcnq9JQuGKh0xrOND7+/v6ljgUEBODhJIdsZxs1Z30/JpOpWCfi6NFDJCUdYtmyBaxevbxYWbPZzMiR45k+/SvCwsJp1aodAwYMJSqqbWEPum7dephMjo2FUxlMJhPPPPMa/frdjxCCefPeJzn5CLGxj3PkyAE8PDyYO3cFmzefxs9P/VaSkg5x+vQJmjVrQZ06wXh6evLdd9uYNm0h3bv3pUmTZoVldaqrZ+wMkpMPA3D0qHKVzcy8wOHD+/j447jC30ha2lkSEw8wZ87bhdetWrWUBQtmcOxYotM11uo1gpLJTGx5hFQmbLWr5ritUZVQ2/bQF2+tedA48z2dvcYSFhZWrp3l5SE4uC6PPTaBMWNiSy3snjp1gq1bN9Kv30A8PT2Lbbi6cqX4Zqvs7Mv89ddv9OhRhbjDLiI3N5eTJ48RGdnCagOem5vL7t1buOGGLi6LKOtO7N27g99/X0tMzGj8/Py5eDGD48ePFpsqO3EimdTUU7Rp06HQKP7wwxLOnj3J7bcPICIisuYuFgsh+gEfAiZgrpQyrsR5H+BzoBOQDjwopUyy95qO8hqqiEdKRbyOoHq9hXSsuUSmp6db9XYqD+X5TJb1VLJ+9Oe26s+ad46r6tERRkz3JHrrrVlcvKgadX2nr76rVX94eysDoMerAbUZKidH7erNyirazetsvL3VIqQQRTuLc3LU7uYqLI1VO5Y7rS13O9dkaqQhEEKYUKkqbwdOoFJVPiSl3GtR5imgg5RytBBiCHCflPJBe6/r6FSVjsBdkrpXFmuGLjRU9VQquwmurDqxdh7s++s7k5J6oqKiWLt2bSl3YH0EWdlORXkwm9UIwTLEhL3bVJ+V00NF6Mf0RlAP96CHgDCbi5LX29vCoIej0BtRy3ATesgIy9fUr8nLKx1OojzoGqtqBOvXt767OD+/6GHLMOj1pdeZHrLDsqz+eS3DZujGxtNTGXm9vvQ6c4Rhr6mG4GZgopTyDu35ywBSyn9blPlJK/OHluP4NFBf2hHljobA4OrEnQy83tDoIYx13GDZwC76qMJyCUkIdbygoHhMJMuInmazMkLnzlWsEfX2hsZVi3zhNCyNpaVB0o2S/tDRYyNZjh6rshRXXe6jTQDL5e4TQMnMH4VlpJT5QogLQChQetuvgYGLiYmJcZuRnRCqMahp2DJU+jSZNfTP6e2tgsOdO6emy8pDSEjFNboKy0bcZHJuWOmKUiN+WkKIJ4AnoHrcMQ0MDKoHk0lN9dSpA2lp1kN0e3ioUNGBgcp4GFQcZxqCFKCpxfMI7Zi1Mie0qaFg1KJxMaSUc4A5oKaGnKLWwMDAbfH1hSZN1GK6nrELitY6alI4aXfEmYZgM9BSCHENqsEfAjxcoswKYATwBzAIWGtvfcDAwKD2omcKM3A8TjME2pz/08BPKPfR+VLKPUKIN4AtUsoVwDxgoRDiMHAOZSwMDAwMDFxIjdtQJoRIBVwVEjMM91y4NnRVDHfVBe6rzdBVMdxVFxRpi5RS1rdWoMYZAlcihNhiy92qOjF0VQx31QXuq83QVTHcVReUT5uxxGJgYGBQyzEMgYGBgUEtxzAE9plT3QJsYOiqGO6qC9xXm6GrYrirLiiHNmONwMDAwKCWY4wIDAwMDGo5tdoQCCGCq1uDNYQQdapbgzXctb4AhBBuGWVGCBFa3RqsYdRXxbma78taaQiEEIFCiGnAN0KIZ4UQHatbE4AQIkAI8RGwTAjxsLYru9px1/oCEEL4a3X2oxBinBAiWjterb9trc7eB34QQkwWQvSqTj06Rn1VnNpwX9Y6Q6BV1mogF3gdtdniqWoVVcQbQBAwGYgG4uwXdz5uXl8AE1ARa0cAvsB/AKSULkrtUhohREvgW6AAeAxIBV6pLj0lMOqr4lz192WtMwTABWC2lDJWSrkB+A0o0Ky+yxOlasH2EEIEAnWAt6SU64EpgIcQ4p+u1lQCt6ovACGEr/bXE/AGvpRS7pdSvgOkaj3L6uzlZgFzpJTPa4mYVgKnhBAR1SHGqK+KU9vuy6veEAghWgohXtSfSymPonofOpeBVlLKLFcGvBNCtBFCfAq8IYSIlFJeAkLQAvNJKTOAqcAgIURDF+pyy/rStLUSQsQDM4QQnaWU+UAgcLNFsdHAMCFEhKt6uUKI1kKIwqzjUsqTwCqLIv5AGynlCVfosdBl1FfFtdXK+/KqNgRCiIeBtcALWk4DhBAm7cvVuRbY42JdocCnQAIqIN9bQog+wMvAYCGEHg9kF/ArcLeLdLllfWk6/FDTGDtR9TJWCDESdVOOFkKEAUgpjwNfAKNcpOtu4BvgeSFErHbMs0Sd1QMOuEKPhS6jviqurdbel1e1IUBlRRsB3Iv68ftLKQuEQv/s1wLbAIQQ/YUQkS7Q1Qa4LKV8D/UjWwU8iPrxfQO8DyClzEXNm6a6QBO4b30BtACypJRvSylnAHOB+wA/YDbFN80c1D4LLpi+OgPEAK2Al4QQgVrkXQ+L926LdpNqi42tnKwJjPqqDLX2vryqDYE2p/eblPIPYDcwUTvlYTEMvh5oKoRYAQwFrORAcjjbAB8hRCdNx0ZUys77NI1/E0KMFkLcAdwGuGTI7sb1hZQyAWguhLhNO7QL+AV4EXgVqCeEeF0IMRh4HMjWrnPq9JWUcguwX0p5GPgR+Fg7JSze+1agvhDiW1QjmOdMTZouo74qTu29L6WUNf4BBJd4LqyUaa9V4vUWx+qjwrP+DjzoBF0hgFdJXSgPhFeAyRbn+gMfaP93A8YDfwIxrtJV3fWlvYe3lWMe2t9xwBcWxzuiclqEoXqYw1GeFM6os1K6bHyvGcBNFud8UI3wVmCwE3TVBTwttbhJfZXS5Q71pb1HPcDfhp7qvC+t6ipRxin3pcMr2dUP4J/ADlQv50HtmMlG2TeAedr/XbS/jzhJ1+vAMdQQ/Bkr5/toN+XfteetgC2Ar5Pry66u6qov7bWnoqYtrtGeixLno4BlwAjteSgq8VFDJ9eZXV2WvzngNWCd9n8/7e8AJ+n6l9YofAw8bamjmuvLrq7qqi/ttf8J7AXmA7FW6qy67ku7ukqUdfh96bQP5ooHKqH9d6h8yNGoObsoO+W9UJbzEvAmWs/JCbpuAX5G9TA6AoeAbiXKBKF6ZNtQeZsHobwAwpxYX2Xqqqb6MgHPoRYI5wKP2SnbFzgC3AgMBtYBzdxAl2WPNx/IBD7EYuTlQF11UYb8S9TccHfglN7Al9Diyvqyq6u66kt7j2CUMV+ktRc3oFLo1tHO66Mol96XZemycY3D70uHfzBnP4Ag7a8JeBu4z+Lcz8AP1n50qOHTClQu5VudpE3v5XQFlqD1IoBngQVAEyvXvAYsRPWgbnYHXa6qrxLvGYnqsQ4H3gM661qslB0DTEdNH9g0ZNWgKwz4BNjuTF2oBd97ShybD9xho7xL6qsSulxSX9p7eaGN6LTn/VEjllLGU3vu9PuyPLpKlHXafem0indChYVoPxp9Jd8X1VtbDDREbfr4AGVNe2vXeFhc74029HSwrlBgFha9LKCXdixK1wF8DzysPTdRvEfk7ya6nF5fdrR5aX8jUFMxEwA/7Ziw/KvXobvosijr6YwGzYauQIv/62gNwzUlrquO+ipTl7Pry5Y27biH1n4ko3riGyiakqqW+7IcupzfjjnjS3DSF/sf7dEL1eB/oh3/BOUHvVeryLFAfIlrS/XeHKSpLbAG5dUwz+K4J7AU1Yv0147FAH+6qK6qpMtZ9WVPW4kyA1E92L4u/H3VZF31UB44TplWqUm6yqMNuNbi/6HAvpqgy5n3ZY1wHxUq6p8XMEVKuQ61WBIhhHhcSjkKtTh1p5RyMZCOWtwp9ImWWi06gQvAJNQ8361CiO7a++WjjNNdgJ4rdCmQJFwTwbNKupxYXza1QTEf9l9QC9rthRDPCCEedKKeGqvLgmuBTCllnhBikObeWFt12dSm+9xLKRMtyn4NHBNCNHB3Xc68L2uEIZBSZqLmagdqz8+hhulPCSGCpZSJUspkIUQLYCRwTivnzAYNKWUKsF1KeRm1SDbR4txy1LB4jFBxSVYCF6WUF5ypyZ11lUObFEIIqbbxZwKxwDPAeUNXaV0W9Eb5v88HnkfbE1AbddnTJjWfe92wCxXs7mvgkJTybG3VpYtz6wdFC523onYbBmjPfVFzaUO05/cB+4HnqlHrVmCkxXNvoAPwLpobnaHLvjbtWCRqrtRtvks31/URauPTk4ausrWhYhn9Ay30hqHLjdYIUDseh2r/Wy7YeFC0WLgQFXFPPzcTuF37vwlO8PW1p8vif0/t7z2oaSkP4H40bxycMLfnrrocoK2xdtzH0FWmroGoIHJ/wzkLm26pywHaglEhONytzpymq0zdrn5DKxVXB9UzTUX1toItzllWZFOUj28S8Agq4NNWoE8162pV4roEVFjd/wLhtUWXg7StcNM6c1dd3wP1a4suB2n7zk3rzCm6yq2/2t64yCqagLu1/xcC71pWHsptbxHwX+15b9R84x/AQDfQtQxogPKhngAkAv1riy531mboujp0ubM2d9VV4c/h8jdULozvonYR9tUrUfsbCRwF2lmUHwS8WBN0YRH/42rX5c7aDF1Xhy531uauuir70K2VS9BWxT9CTfGsQk3xLAfmSimvaGXigNZSyvusXG+SUha4oS5PqVwza4Uud9Zm6Lo6dLmzNnfVVSVcaXVQFfc7RfE97kBZ1KEWZbxRq+Y3A+2A/9OOO3OTk6HrKtFm6Lo6dLmzNnfVVZWHS/cRSCkvUrTYCyre93bgFqGlfZMq6cPn2rllqPgaSK0WDV3Vr8udtRm6rg5d7qzNXXVVherYUPYt0FEI0UiqVGu7gBygEYAQoicqbd6/pZRtpJS/GLrcUpc7azN0XR263Fmbu+qqFNVhCDagQqg+AiCl3AZ0QW2mALUBpbuU8lVDl1vrcmdthq6rQ5c7a3NXXZXC09VvKKU8JYT4LxAnhDiMCneQg8oBipTyiKs1GbquLm2GrqtDlztrc1ddlaY6Fia0abI7UbHK91PNYQ4MXVenNkPX1aHLnbW5q66KPlzqPloSIYQXav3ErVypDF0Vx121GboqhrvqAvfV5q66KkK1GgIDAwMDg+qnRoShNjAwMDBwHoYhMDAwMKjlGIbAwMDAoJZjGAIDAwODWo5hCAwMDAxqOYYhMDAoAyFEgRBihxBijxBipxDiOT3huJ1rmgshHnaVRgODqmAYAgODssmWUnaUUrYDbkdtInq9jGuaA4YhMKgRGPsIDAzKQAhxSUoZaPH8WlRIgTBUEpKFQIB2+mkp5e9CiD+B61AJShYA04E4oCfgA3wkpfyPyz6EgYEdDENgYFAGJQ2BdiwDaA1kAmYpZY4QoiWwSErZWYs++byU8u9a+SeABlLKyUIIH1R44geklEdd+mEMDKzg8qBzBgZXGV7ATCFER1TAsVY2yvUFOgghBmnPg4GWqBGDgUG1YhgCA4MKok0NFQBnUWsFZ4AbUGtuObYuA8ZJKX9yiUgDgwpgLBYbGFQAIUR94GNgplTzqsHAKSmlGRgGmLSimUAdi0t/AsZoAcoQQrQSQgRgYOAGGCMCA4Oy8RNC7EBNA+WjFoenaedmAcuEEMOBH4Es7fguoEAIsRP4DJXTtjmwTUt+ngoMcNUHMDCwh7FYbGBgYFDLMaaGDAwMDGo5hiEwMDAwqOUYhsDAwMCglmMYAgMDA4NajmEIDAwMDGo5hiEwMDAwqOUYhsDAwMCglmMYAgMDA4Nazv8DzghWY6UgDCUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f4a628b8aafb41568c18fd52a57e7c59",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.8992003798484802, 'log': {'agg_test_loss': 0.9083002209663391, 'agg_test_loss_p': 0.8992003798484802, 'agg_test_loss_kl': 0.009099768474698067, 'agg_test_loss_mse': 0.052030690014362335, 'agg_test_loss_p_weighted': 0.17229194939136505, 'agg_test_score': 0.8992003798484802}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.908300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.899200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.009100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.052031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.172292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.899200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_mean\n",
       "agg_test_loss                 0.908300\n",
       "agg_test_loss_p               0.899200\n",
       "agg_test_loss_kl              0.009100\n",
       "agg_test_loss_mse             0.052031\n",
       "agg_test_loss_p_weighted      0.172292\n",
       "agg_test_score                0.899200\n",
       "n                             1.000000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'anp-rnn_pt', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=anp-rnn_pt, trial=<optuna.trial.FixedTrial object at 0x7f8d6e35aba8> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_pt/version_-1000/_ckpt_epoch_4.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9ee01026f8014b38957ec9b686daa98e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 2.8069238662719727, 'log': {'agg_test_loss': 2.821727991104126, 'agg_test_loss_p': 2.8069238662719727, 'agg_test_loss_kl': 0.014804203994572163, 'agg_test_loss_mse': 0.04993298277258873, 'agg_test_loss_p_weighted': 0.5393860340118408, 'agg_test_score': 2.8069238662719727}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.908300</td>\n",
       "      <td>2.821728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.899200</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.014804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.049933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.539386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.899200</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_mean  anp-rnn_pt_mean\n",
       "agg_test_loss                 0.908300         2.821728\n",
       "agg_test_loss_p               0.899200         2.806924\n",
       "agg_test_loss_kl              0.009100         0.014804\n",
       "agg_test_loss_mse             0.052031         0.049933\n",
       "agg_test_loss_p_weighted      0.172292         0.539386\n",
       "agg_test_score                0.899200         2.806924\n",
       "n                             1.000000         1.000000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'anp-rnn_c', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True, 'batchnorm': False, 'attention_dropout': 0.5, 'dropout': 0.5, 'hidden_dim_power': 5.0, 'latent_dim_power': 8.0, 'learning_rate': 0.001, 'n_decoder_layers': 4, 'n_det_encoder_layers': 1, 'n_latent_encoder_layers': 4, 'num_heads_power': 3.0}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=anp-rnn_c, trial=<optuna.trial.FixedTrial object at 0x7f8ded9c2f60> params={'learning_rate': 0.001, 'num_heads_power': 3.0, 'hidden_dim_power': 5.0, 'latent_dim_power': 8.0, 'n_latent_encoder_layers': 4, 'n_det_encoder_layers': 1, 'n_decoder_layers': 4, 'dropout': 0.5, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_c/version_-1000/_ckpt_epoch_0.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9bc65f16beb5440b8bba22a5d9c81ebd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.326419860124588, 'log': {'agg_test_loss': 0.32641997933387756, 'agg_test_loss_p': 0.326419860124588, 'agg_test_loss_kl': 1.4158050021251256e-07, 'agg_test_loss_mse': 0.05554043874144554, 'agg_test_loss_p_weighted': 0.06167767196893692, 'agg_test_score': 0.326419860124588}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>2.821728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.014804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.049933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.539386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_pt_mean\n",
       "agg_test_loss               3.264200e-01      0.908300         2.821728\n",
       "agg_test_loss_p             3.264199e-01      0.899200         2.806924\n",
       "agg_test_loss_kl            1.415805e-07      0.009100         0.014804\n",
       "agg_test_loss_mse           5.554044e-02      0.052031         0.049933\n",
       "agg_test_loss_p_weighted    6.167767e-02      0.172292         0.539386\n",
       "agg_test_score              3.264199e-01      0.899200         2.806924\n",
       "n                           1.000000e+00      1.000000         1.000000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'anp-rnn_d', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True, 'batchnorm': False, 'attention_dropout': 0.7, 'dropout': 0.1, 'hidden_dim_power': 6.0, 'latent_dim_power': 6.0, 'learning_rate': 0.001, 'n_decoder_layers': 4, 'n_det_encoder_layers': 3, 'n_latent_encoder_layers': 4, 'num_heads_power': 2.0}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=anp-rnn_d, trial=<optuna.trial.FixedTrial object at 0x7f8d68ce6080> params={'learning_rate': 0.001, 'num_heads_power': 2.0, 'hidden_dim_power': 6.0, 'latent_dim_power': 6.0, 'n_latent_encoder_layers': 4, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.7, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_d/version_-1000/_ckpt_epoch_6.ckpt\n"
     ]
    },
    {
     "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": 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AfrO4Y8eOHD9+HIALFy6wefNmgoODeeSRR2wpnkJRaZjbLLbajEAIsUIIES+EOGGiXAghPhFCnBdCHBdC3GktWRyFmJiYUl13BBYuXAhoZqR6WrRowUsvvaSUgEKhw5pLQ+HAYDPlQ4CWumMC8LkVZXEIAgICSnXdEZg+fTpSSg4fPgzAb7/9xoIFC9i3b5+NJVMo7AerKQIp5R7ghpkqjwIrpcYBoJYQorG15HEEwsLC8PLyKnTNy8uLsLAwG0lkf/zvf/9jxowZzJw5k4MHD9paHIXCLrDlZrE/cKnAeazumqKMhISEsGzZMho1aoQQgiZNmrBs2TJCQkJsLZpNyMnJ4dNPP+WLL74wXOvVqxf33nsv+/btY9KkSTaUTqGwH6qEQ5kQYgLa8pFDL3NYQkhICF9++SVXr15l+fLl3H///bYWyWZkZGQwZcoUQPMf2LJlC/fffz/NmjVj/PjxhoikCoWjY8sZQRzQtMB5E921Ykgpl0kpu0kpu6nUgiWjt6qaP3++jSWxLS4uLobZ0C+//GK43rJlS3bv3s3SpUttJZpCYVfYUhFsAcborId6AUlSyis2lKfa8N577wEQHBxsY0lsi5eXF+Hh4ezcuZOtW7cCcPXqVc6cOcOtW7dsLJ1CYT9YzY9ACLEW6AfUA64BcwBXACnlEqEZeP8bzbIoHXhWSlmig4DyIyiZzMxMsrOz8fT0xNXV1dbi2BWTJ09m8eLFfPLJJ7z44ou2FkehqDRs4kcgpXxKStlYSukqpWwipVwupVwipVyiK5dSyklSyhZSyo6WKAGFZXh4eFCjRg1cXV0dOuREbm4uUVFRXL582XCtfv36+Pr6MmXKFIKCgmwnnEJhR6gQE1UcYw/6du3a4eHhwYIFCxw65MTly5dp1qwZ/v7+LFiwgNzcXObMmcP58+cBSEtLs7GECoV9oEJMVGH0sYXS09MN17y8vAznBV8XxFFCTly6dIk+ffoYPKtTUlLw8fEhPz+f9PR0XF1dC3kcKxTVGZWPoJoSGhpa7EGfnp5Ow4YNuXbtmlElAI4TcqJp06ZER0czc+ZMcnNzcXZ2BsDJyQkfHx8bS6dQ2A9qaagKY+qBHh8fz6pVq2jQoIHRckfzxXj//ff58MMP8fT0ZMqUKbRq1Ypt27bZWiyFwm5QiqAKYy620KhRo1i4cCGenp6Fyhw95ERsbCznzp3jscceY/jw4VS1pVGFwhooRVCFMfZA9/LyomHDhowcOZIRI0bQo0cPQ1lgYKBDhZw4e/YsHTt2pFevXpw5c4bs7Gw+++wzw+uNGzeSm5trazEVCpuj9giqMCEhIezZs4fw8HCys7MJDAwkLCyMUaNGcejQIR5++GE6derE6dOnWbx4McOGDbO1yJVKWloaJ05oUdDbtGnD6dOnad26NY0aNWLdunU4OTnh5KTGQgoFUsoqdXTt2lUqTJOfny9Xr14tAenh4SGvXLkimzZtKtu2bWtr0Sqd9PR0efz4cRkUFCRbtmwpz5w5Y7Lu6tWrZWBgoBRCyMDAQLl69epKlFShsD7AEWniuVrijEAI4QR0BvyADOCElDLeuupJUVaEEDz11FNs3rwZLy8vPDw8uHTpEr6+vrYWrdLx9PSkY8eOREZGGq59+umnREVFMXHiRFq0aAEUN8PV+1sADrOMpnBsTPoRCCFaADOB+4BzQALgAbRCCwmxFPhSSplfOaJqKD+C22RnZxMREcHBgwfp378/TzzxRLE6UkpiYmKoUaMGtWvXtoGU9kWfPn3Yt28fL730Ep06dWL48OG0b99epfhUVHvM+RGYUwRr0bKG7ZVFKgkhGgBPAzellF9WsLxmUYrgNlFRUTRr1gyAZs2acfHiRTIyMlizZg01atRgxIgRPPDAAyQkJLBx40aHMxuNjIxk2bJltGjRgueffx6A9evXExsby8yZM8nLyyMyMpLmzZubtB5avXq1mhUoqgVlciiTUj5lpiwe+LgCZFOUAykl99xzD3v37mXEiBEA3Lhxg+eff546deowcOBAfv/9d65du2ZwpnIkoqKiDJFYP/jgA8LDww2zpkuXLnHz5k08PT0JCAgwOiMA1BKRwjEwtXlQ8ADuRpsBjNEflrSzxqE2i82TmJgon3vuOQlIQG7dulU++uij8qmnnpJRUVG2Fq9SiYyMlGFhYYbPYvv27UbrrV69Wnp5eRnqFT0CAwMrV3CFwgpgZrO4xFhDQohVQAvgTyDvtv6QUypWJVmGWhqyjG7dunHx4kX27dvHc889x4EDB9i3bx933323rUWrdKKiosjKyqJJkyYcP36crKwsevToUSi/c0REBKNGjTLaXghBfn6lboUpFBVOmfYICjQ+BbSTJVWsJJQiuE16ejru7u4kJSWRmZlJ48aN0dI8FObbb78lKSmJwYMH07BhQxtIaj+0atWKc+fOcfToUYKCgvD19TXkbPDx8TEakVRtGiuqA+XNR3ACaFSxIikqgpdffhk3Nzfq1q2Lv78/6enpZGdnEx8fT3JyMikpKcycOZOLFy8yduxYh1MC169fZ//+/Zw9e9ZwrWfPnvTt25ehQ4dSt25dDh8+bCibMWMGbm5uhfpw9JAcCsfApCIQQnwnhNiClmHsbyHEDiHEFv1ReSIqTJGenm5YsmjcuDHZ2dkcPXqUhg0b8o9//IPr16/zwQcf8Mknn9hYUtuwZ88eevfuTevWrXn55Zc5dOgQq1atYvfu3bRr145atWoVqj9nzhxWrFhh2Fj39/d3qJAcCsfFnEPZgkqTQmExERERhIaGEh0dbXhgBQQEMG/ePIOfQP369Tlw4ABDhgxh0KBBtGrVio0bN9K6dWs6dOhgS/Erldq1a9OrVy8OHDjAwoULadu2rSH20g8//GC0TUhICO7u7mRlZfHoo4+qcNUKh8Cc+egvlSmIomSKesDm5Wl79zExMYXMHOPj43nqqadYt24db7zxBufOnWP48OHMnj3boRRBv379+O233/jhhx84ceJEoQB8xti9ezdXr17lnnvuwd/fv5KkVChsjyWbxY8D7wMNAKE7pJSyhvXFK44jbxYHBQWZtHeHwpuaJ0+e5ObNm7Ru3Zo9e/YQERHBsGHDHH6Zo3HjxqSmpnLp0qViS0MPPvgg27Zt47vvvuOhhx6ykYQKhXUob4ayD4CHpZSnKlYsRWkpKbNYwfL27dtz7do1zp49y5133ulwkUdNkZqaSmpqKu+88w4HDx7k3XffZcCAAQD07dsXX19fzpw5Q2pqKoMGDaJu3bo2llihsD6WWA1dK6sSEEIMFkKcEUKcF0K8ZqQ8QAjxsxDiDyHEcSHEA2W5j6NQUoiIBg0asHPnTnr27MmcOXPYuXMnffr0Yfbs2ZUkoX2xZs0a6taty9ChQ/nll1+IjIw0WFTFxcWxf/9+rl27Zqj/6quvsm7dOr766iueeuopzp07Z0PpFYrKw5zV0OO6ZaEjQoj1Qoin9Nd0180ihHAGFgNDgHbAU0KIdkWqvQF8JaXsAjwJfFbmd+IAhIWFFXKCKoiHhwdhYWFcu3aNQ4cOsWbNGpYtWwZotvO5ubmkpKRUprg2Jz09nRs3brB582b69evHypUr8fT0xNfXlzlz5vDrr78yaNCgYu3uu+8+Ro4cqYL0KRwGc0tDDxd4nQ7cX+BcAptK6LsHcF5KeRFACLEOeBT4u0g/+r2GmsBlC2R2WPTr+6+//joxMTE4OzuTl5dnSEgTEhJCYmIiv/32G0uXLiU8PJyZM2cyePBgXF1d6dGjBwcPHrTxu6g8Ro8ezdChQ1mzZg0bN26kadOmhrJ27YqOSSAlJQUhBO+++65KWKNwKMwpgv8BO6SU18vYtz9wqcB5LNCzSJ23gJ1CiBcBb7SQ1wozhISEsHbtWmJiYvjmm294+OGHC5XXq1ePevXqkZmZSf369Q3r3k5OTg6Xn9fd3R13d3emTJnClClTyMnJYeTIkXh4eLBy5cpi9QcMGMCRI0c4dOgQ3bt3t4HECoVtMKcImgIbhBCuwI/AduBQBYeaeAoIl1J+KIS4C1glhOggi+Q4EEJMACZAyevkjoKTkxPu7u4AbN++nUOHDvHAAw8YHmD9+vWjX79+gBZYMDc312j4CUciJyeHDRs24OHhwTPPPMOhQ4cYMGCAwazUw8MDLy8vhBCkpaXh5uZmCD+hUFRnTM5/pZTvSykHAA8Ax4DngN+FEGuEEGOEECXFK4hDUyZ6muiuFWQc8JXufr+hJb6pZ0SWZVLKblLKbvXr1y/pPVV7tm7dSl5enmF9+/vvv+ett97i4MGD/Prrr8ydO5fdu3czZcoU6tWrx+rVqx1SCfzwww88++yzrFu3DgBXV1fWr19PeHg4W7duZdasWezdu9dQf+/evaSlpREWFoaPjw/fffedrURXKCqVEhdCpZQpUspvpJT/p9vUnQvUB4rPrQtzGGgphGgmhHBD2wwuGpoiBhgIIIRoi6YIEkr5HhwW/cN9yJAhzJ49m27durF7925mz57Nt99+y759+wzxdoKCgnByciIoKIiIiAgbS145nDhxgvDwcCZPnoyvry/Tpk1j5MiRPPHEEwwYMIBXX32Vbt2Km1V7enqa3JRXKKojJTqUAQgh/IFACiwlSSn3WNDuAbQENs7ACillmBDiHbS42Ft0VkRfAD5oG8evSil3muvTkR3KLOHnn39m165dpKWlsWjRIpo3b86VK1fIyMgw1PHy8nKIGDonTpzg8OHDHDp0iCVLlvDMM8/w3//+19ZiKRQ2obxhqN8HnkCz9imYj+CRCpXSQuxNEehj/8TExBAQEGCw3rEm48aN4/LlyyxZsoTAwECjdX777Teee+45YmNjSU1NLVbuSKGVs7KyyMrKIi8vj61bt+Lr68vQoUOL1Rs+fDjXr19n/fr1NGjQwAaSKhTWw5wisCQ72RnAvaR6lXXYU4YyY5mtvLy85OrVq6163+DgYAnIM2fOSCm1rGRHjx6VFy9eLFZXCGE065YQwqoy2iORkZESkAEBAfL69evyxIkTMi4uzlDeuHFjCRS6plBUFzCTocwSY+mLgDKdMEJoaKghAJye9PR0QkNDrXrf8PBwvv/+e0NgtA0bNtC1a1fmz59PTEwMx48f58aNG7z88ssm17odwfrq5MmTbNy4kdOnTwPa2v+oUaMYOnQoK1asoEOHDnz44YeG+hs3buTHH39k3bp1DBgwgE2bSnKVUSiqBybNR4UQn6KNHtOBP4UQPwJZ+nJpo1SV9oSp2D8lxQQqL7179y503qhRI+644w6aNGnC3Llz+eKLL1iyZAkbN24kLS0NT0/PYnsEjpBsZe3atYSFhTF8+HDc3Nzo0KEDq1atAmDlypW0bduWglZod911FwBbtmzh559/LuajoVBUV0zuEQghxpprKKX80ioSlYA97RGYigZqy/X3t956i02bNnHnnXfy5ZfaV1SnTh1ycnJISUnB39+f999/v9pvFIMWa+jrr7+mXr16fPHFFwwaNIidO83aIgBw5swZYmNjadWqVSFvZIWiKlOmzWIhxFBgv5Qy3prClRZ7UgRF8wNA5VjkLF68GCEE48ePN+rwFBERwfjx4wvNApycnMjPz2fbtm0MGTLEarLZI1euXOGnn36iYcOGdO3aFXd3d6NLZgsWLMDJyYmpU6cakv4oFNWFMm0WA1+jOYCdA75E8+ztYKp+ZR32tFkspZSrVq2SAQEBUgghAwMDrb5RLKWULi4uEpBZWVlGywMDA41uEPv6+soTJ05YXT575dChQxKQ3bp1k6tXr5aBgYGFvjf9xnpubq6tRVUoKhzMbBaby1A2XKdFgoC7dcf/CSECgMNSShUyGoiLizPsCVTGcpCUkokTJ5KdnW2YDRw9epRHH32UTp06sW3bNpN7FKmpqbRv397qMtoLOTk52o/cxcUQRK5mzZqkpaUxbtw4srK0La/o6GgmTJjAAw88QKtWrfjjjz/Yu3cvXbt25d5777XlW1AoKgVLPIujgN+BP4A/gXjA07piVR0SEirXEVoIwaJFi/j8888LhY2Ii4vjypUrPP300yYjZzqCpVBBpk2bhru7O/Pnz2fdunVcvXqVW7dukZ6eblACetLT0zlx4gQLFy7kp59+4ih4yD8AACAASURBVKWXXlIhJhQOgzmrodeBu9DCSZwBDgD/BiZIKfNMtXM0Zs6ciZ+fH7aMgdSxY0diYmLw8fFh2LBh5OXlGRKw6/H09OTFF1/kxo0b1KlTx2ayViZOTk64uLjwyy+/8MYbbwDaRr6pdJ/6mVS3bt2YOnUq99xzT6XJqlDYEnObxaeBNOA7YD9wUEqZVImyGcWeNottQW5uLtHR0Xh6euLn51esPDExkbS0NH766Sfefvttg8dz69at2blzJx9//DFTp061geS2wdjGuRDCaEjuxo0bs3fvXlq0aFGZIioUlYK5zWJz0UfbAIOAI0A/4BshxCEhxBdCiGetIqmiRK5du0ZwcLDRYGmg5SMIDAzk2WefJSoqivz8fKKioujbty/BwcH4+PhUssS2JTQ0tJASAG2fpWg0Vk9PT65cuULPnkVTZigU1R+zewRSyhtSyq3Am8AsYAPQH/hPJchWJVi7di2enp6MGTOmUu4npaRZs2aF1vszMzOZOHEi//znP022e/311zl37hzjxo2rDDHtBlMb51JKfH19AW25aOHChbRp04aWLVuSmprK+fPnuXLlSmWKqlDYDlPmRMAjwHvAXuCG7u97aOkm65tqZ+3D3sxHp02bZjDPtBVZWVkSkC4uLvLNN9+UkyZNkleuXLGZPPbCvHnzpIeHh1FTWn1coQ4dOhRrt3LlSgnIkJAQG0itUFgHymI+CjwD7ANeBY5KKbMrXAtVA0aNGsXHH39sNAduZeHq6sq///1vPD09mTdvHhcuXGDatGk2k8deOHbsGJmZmbi5uZGdffvn6+XlxZw5c8jIyKBhw+L5lWrVqkXz5s0r3ABg165dREZGMmDAALUPobAvTGkI/QEMMXLthZLaWeuwtxmBvRERESE//fRTmZSUVOj62rVrZevWreXs2bNtJFnlc+zYMbl9+3b56aefSk9PTwnIhg0bVorTnzFGjBghAbl27Vqb3F/h2FDGGYGe2UKILCnlTwBCiFfR9gmWWEc1Kcxx9OhRRo8eTffu3Q2xhAry9NNPG22XkpLCmTNnuHz5srVFtBs6depEp06dAPjnP//JiRMn+OGHH6hbt26xumfPnmXIkCG0bduWrVu3WkWeAQMGUKNGDYKDg63Sv0JRViwJQ/0IME8IcY8QIgzoibZPoEBLALNkyRL+/PPPSrlfUlISp06dKrQJGhERQaNGjXByciIgIMBoKsphw4Zx6tQp5s2bVyly2hvOzs4cOnSI1157ja+//pq8vDx+/PFHduzYAWgOZRcvXuTSpUtWlePEiRP89ddfVr2HQlFaSpwRSCkThRCPALuAo8Bw3TRDAaxfv55FixYBGLVNr2h69uzJiRMncHd3B4oHvrt06RLjxo0jPz+f0aNHG9rVqVPHYRzJ9GzZsoWYmBgefvhhAgMD6dSpEzNmzKB79+7k5uZy33334erqSnZ2Nm3btuXcuXM4Oztz8OBBnnnmGbp162YIW10RXL58mYMHDzpc0D+F/WPOoSwFzcJCjxuQy20LmRrWF6849uZQtmHDBkaOHAlUjiIoiqlQ2AEBASY9aB2FwYMHs2PHDrZt20aXLl14/PHHycvL4+DBg0gpGThwIB4eHnz//feF/Ar27t3LvffeS58+fdi7d2+FyXPkyBEuXbpEly5dCAoKqrB+FQpLKFfOYnvD3hQBaMHcXFxccHd3L+aoZG2cnJyMKiAhBPn5+Ybz8+fPs3TpUoKCgpg0aVJlimgzPvvsM06ePMmkSZNo0aIFnp6eCCHIzMw0Gr5bT1paGtHR0fj4+JQ6PlN+PpgI9UTfvn3Zs2cPu3fvpm/fvqXqV6EoL2XyLNZFHTXXqRBCNCmhzmAhxBkhxHkhxGsm6owUQvwthDgphFhjrj97xcfHBw8Pj0pRAkePHjWsc4PpQHJFr8fFxbFgwQLWr19vdRnthYkTJ7J48WLatWtnSFAjpaR58+bF9lHOnj3L9OnTWbp0Kd7e3rRr165MQfrS0kyX1a5dmwYNGuDh4VHqfhUKq2LKnAjNi3gjMAZoDzQAAoABwLto8YcGmWnvDFwAmqMtKx0D2hWp0xItqmlt3XkDU/3pD3szH01ISJCXLl2SaWlplXK/5cuXS0A+88wzUkopV69eLb28vAo5S3l5eRUzkbx06ZJ8//335bp16ypFTnvC3GeUn58v8/Pz5Q8//CABOWjQoHLdKzFRypwc42V//fWXDAsLkxs3bizXPRSKsoAZ89GSfAjaAWHAbrQIpH8Aa4BRgEcJbe8CdhQ4nwXMKlLnA+B5c/0UPexNEYwZM8bwcElNTbX6/f788085f/58+d133xmurV692uAp6+rqajM7eXsjLi5ORkVFyYCAAKPexS4uLtLJyUleuHBBRkZGyoULF8oNGzbI+Ph4+eqrr8p58+aV+p6JiVLeumW8bM2aNRKQTzzxRDnfmUJResqsCMpzAMOB/xQ4Hw38u0idb3XKYB9amOvBJfVrb4pgypQphgdLYmKizeRISkoyyNGkSRObyWFP9OzZUwKGzGOmjr///rtQu3PnzklANm/evNT3TEyU8vJl42XHjx+Xs2bNcshZmaL8lDdxnjlFYIlDmTVxQVse6gc0AfYIITpKKW8VrCSEmICWKtPukqssWrSIfv36kZeXh7e3t83kqFGjBufOnaNly5ZG9yqysrI4dOgQgMPE2W/UqBFNmzYlNzfXaAC5pk2bcvHiRVxcCv8b1K9fn/fee8+o45klZGVBXh4UTXv85ptvEhcXx//93/+VqV9F9SEnB4SAIj89cnK0w9kZcnO1PaecHO21mxs0bmwdeaypCOKApgXOm+iuFSQWLc9BDhAphDiLphgOF6wkpVwGLAPNashqEpeRxx57rNLuFRUVRVxcHIGBgTRpUnivPjg4mPz8fHJycoq1u3HjBvfeey8NGzbk6tWrlSWuTfn222+B4r4WoMUbmj9/vkEJXLlyhVOnTuHn50ebNm2YOXNmue6dkQFFI34fO3aMyMhIcnNzy9W3omohpTY4SE/X/ubkaNZloD3cpdTO8/O117bAEs/isnIYaCmEaCaEcAOeBLYUqfMt2mwAIUQ9oBVw0YoyVXlWrFhBnz59WL58ebGyiIgImjVrhoeHB0FBQYUsY7y8vOjduze9evWqTHHtgpCQEJYtW0ZgYCBCCAIDA1m2bBkhISGGOrt27WLgwIGEhYVVyD0zM4tf++qrr1i+fDkpKSkVcg+FfZORAdeuQUwMXL0KycmaIihg1U12tqYY8vJspwTAAkUghNgkhHhQCFEqpSGlzAUmAzuAU8BXUsqTQoh3dJ7K6MquCyH+Bn4GZkgpr5fuLdiWiRMnIoRgwoQJJCcnW/1+TZo04e677yYwMLDQ9YiICMaNG0d0dDRSSkNCdr0yqFmzJr/++qthlOxohISEFErUExISwnvvvcdjjz3GkSNHaNCgAf369aNt27bk5eWxd+9e9uzZU+b7FcmFA2hhLsaNG8ezz6q8TtWZ9HS4fFlTAhkZtn3AW0qJDmVCiPuAZ4FeaCal/5VSnqkE2Yxibw5lgwYNYteuXQCcOnWKNm3a2EQOUx7GgYGBREVFVb5AdsBDDz1ETEwMmzdvplmzZsXKhw4dyubNm/nmm28YOnSo4Xp6ejre3t54eHgUy25WEtevg37A7+enTf31XLhwgaFDh9KmTRs2bNhQpveksF8yM7Xv38jKbIXg7l6+PQJzDmWWxBraBewSQtQEntK9vgR8AazWre87LEuXLuWFF17A29vbpmkgTWXiMnXdEThz5gznz583umcCMGPGDMaOHUuPHj0KXXdzc6N3797ldvzKzCysCNavX8/IkSN59dVXy9Wvwv7IyID4+Kox+jeGRSEmhBB10XwHRgOXgQigD9BRStnPmgIWxRozgoiICEJDQw2J3sPCwgqtH1cFLJkRNGnShMTEROLj46lRwyahoiqVs2fPkpGRQZs2bQxB+qxNwRmBs7M2gtNbhnh7e5Oenk5qaqpNLcysSUFrKWOWU1UJKTXLnsxMbW0ftPX9vLzbR25u4TV/a2LNGYElewTfoKWp9AIellI+IqVcL6V8EajymdD1FiWm1tbtjQkTJlCnTp1ioSLCwsLw8vIqdM3Ly6vQ5mdmZiZZWVlk6X/V1ZxWrVrRuXNni5TARx99hJeXF6GhoRV2/7w8bZ1Y/6B4/fXXeeONN3ArOE2ogugtX0Db7NQbQd26BXFx2t+rVyE2VtsgLTrWTErS2tkDeXm3rXjS0zXZbt7U3kd0NERFae/l5k3tSEqC1FRtBpCdXXlKwNpYYj76iZTyZ2MFprRLVSI0NLSQWSFoa8ShoaEWzQoWL17MxYsXefbZZ2ndurXZYGYVQXJyMjdv3iwUUA4wyGpuZnPhwgXc3NxUrBsdR48e5dixY3Tt2pWsrCwyMjLIy8ur0Hvk5GgzhJo14ZVXXqFNmzasWrWqyu3b5OZqMxspISFBe4B6eGgPRCcnzVRWbytxq4AX0I0b2gPU0xN8fbWH582bWp0aNbQ+PD2N31M/Iq8IjAUDzM7WFHUFf+VVEks2ix83cjkJ+EtKGW8VqcxQ0UtDlkbvNMUdd9zBsWPHAC18cZ8+fSpMNmNkZGSQkZGBl5eXeqCXwNy5c0lPT2fWrFn4+voWK585cyYffPAB8+fP55VXXiErKwtnZ2eD+W1CQgJxcXHUqlXL4nsWXBrS4+wMTZqAlPk469ZK8vPzKz1SrSVkZxfe1wDtQXn5Mnh7aw/mpKSKvaeXF9StqymV/HxNMSQna85U+q8tJ0er5+qq1XF31x7sOTmaghJCUy7Z2ZqCcXW9vSylX7/Xy5+aqrXV2+9XFWy6WQyMQ4sbpJ8V9ENLUNNMCPGOlLLiMnfYAFNx+y31YJ40aRITJkyoaLFM4unpiaepIZSiEIsWLSIxMZFp06YZVQTdu3fnmWeeoUOHDri4uBTyME5LSyM9Pb1Q0vuykpcHycl5nD37O99++22xzWl7IStLe2D6+2vnycnaQ/nWLf17sM5909O1wxgFlU7ROk5O2oPc2VlTXnoDL309Z2dN/rQ07aGfmnq7rZoFFMaSGcFOYLSU8pruvCGwEs2CaI+UsoPVpSxARc8ITHmdFnU4qg7Mnj2b06dPM3/+fIfIm7to0SJSU1OZPn16sf2TkkhKSsLZ2Rlvb+9SjdyNzQgAMjKSadeuJt7e3qQWfCLZEXrZvbxuhzpQ2A823SwGmuiVgI54oKmU8gZQ5X8qeq9TPW5ubnatBN5++23Gjh3L2bNnS932xx9/5OuvvyY+vtJX9GzC1KlTCQ0NtUgJrFq1iieffNKQuL5mzZr4+PhU2PJNbi507NiVO+7oUiH9VRR6yxcpb+dSSE9XSsDRsEQR7BZCbBVCjBVCjAU26655A7dKaFslCAkJITk5mcTERFJSUkqlBI4ePcrhw4crZAnBErZv387KlSu5fr30DthvvfUW69evp1WrVlaQrOqRnZ1NQkICN2/e5Pfff2f9+vVlUrCW4Otbgy1bjtCjx32MGzeBhIQEi9tKKdm1axeJiYkVIktysraJm5qqrf3HxUFiYtVaL1dULJYsDQngcTS/AdBCRm+UljggWAF78yz28/PjypUrBAYGEh4eTr9+/ax6v+3bt3Pt2jUefPBB6tevb9V7VXX279+PEIKePXviZCR/5IoVKwwhH1588UVOnz5Nly5daNOmDbNmzSIyMpJ//etfNG3a1EjvxjG1NKRn4MA2XLx4ht9+O8Wdd7bB1bVky5hvvvmGxx9/nPbt23PixAmLZdGjX993ddVe37xZ6i4UdoDNNouFEM7ALillf7RsZYoidO7cmStXrhAdHV2qUV5ZGTJkiNXvUV3o168fOTk5ZGVlGbXd9/X1pW7dunh6etKlSxe6dLm9bLNt2zaOHz/Oa6+9VipFUBIvvjib9PRUPDwacPmyds3JSdvYdHLSLGD0JpX6vWu99ZqxmVxubmFLHyG0vjIytFG+k5P28FejfYU5zCoCKWWeECJfCFFTSlnBRmP2hd4zd/To0axcudLidtu3b+fvv//mxo0bNoszZCkHDhzg/Pnz3HXXXbRo0cLW4lidnj17kpOTYzDZLMqIESMYMWKE0bKwsDCSk5MrLP9FTMxFhg27m6CglmzYsLdQmT4EMWiWO/q1eldXTSF07NibNWu2U7t2PS5fvm0p4+KirecXnZu7uNx28lLWMQpLsMR8NBX4SwjxP8CQmltKOcVqUtkAvQnpDz/8UOq27dq1q2hxTPLtt9+Sm5vLgw8+WGoz0s8//5yVK1cSHh7uEIpg7969JVfS8euvvxIdHU3v3r0JCgrioYceqlBZsrIySUy8Rs2atS1uo7fccXNrxF13DQZue+Tm5t4Oe1AUle5AUVos2SzeBMwG9qD5D+iPasWhQ4d47bXX+PLLL20tilleeOEFRowYQVIZvHp69+5NSEgIQUFBJutEREQQFBSEk5NTsZwG1ZnPPvuMUaNGsW/fPqv036xZKw4evMwbbyzkxx+3kpBgeXKgqKjzPPFEX15+eaxVZFMoLIk++qUQwhMIsGX4aWvTvXt3unfvXup2jRo14tq1a7z77rs88MAD3HnnnVaQ7jYPP/wwN27cKLVdPGhxisw5vxX1qdDHXQLs1py2PJw4cYLx48fTqlUrevfujRDCEK76l19+ITY2lv79++Pn51fue7m4uNCgQWPeeOOf/O9/m1m69Bvuv39oyQ2Bo0f3c+jQHg4d2sOHH9r3QEVRNSlREQghHgYWAG5o3sR3AO9IKR8x37L6I6Xk2jXNxWL27NnUrVvX6orgiy++sFrf5Y27ZE+kp6fj7++Pr6+vyVDc2dnZHDhwgKysLL788ksmTZpkKJs/fz47duxg27ZtFaII9HTs2I28vFxq165ncZuLF08D0L//AxUmh0JREEv2CN4CegC7AaSUfwohmltRJpvw8ssvs2nTJt566y3GjrV8Cp6QkMCGDRuIjo7mjjvusKKE5ScnJ4f09HRcXFyMhkGuTjkNcnNzuXXrltn8wK1bt2b//v3UrFmzWFm/fv2oU6cOjRo1KuV9jV+/ePEsy5b9i+DgtixfvrVUfXbr1odRo/5J377KYkxhHSzxIzggpewlhPhDStlFd+24lLJTpUhYBGv5ERT0ILWRi0SJSClJS0vDzc2tTKGM586dy+zZs3n99deN5uatTlnOpJSGKK316pU8+k5JSUFKibe3t0krI0s4flwLelaU/ft/IiRkIL169WPtWqPBfBUKs9g6xMRJIcTTgLMQoqUQ4lNgf9nFsU8+/vhjAJ5++mkbS2KarKwsfH19y5xUxsfHB19fX5MPOktyGlQVhBDUqVPHIiUAWtrKmjVrsnv37nLdVx/TvijNm7cmLGwpzz03HSllqcJdZ2Vl8cUXH/LFFx+WSzaFwhSWzAi8gFDgfkCgJZx/V0qZaX3ximNPnsWpqam8+OKL5OTkMGvWLOrVq0fDhg2tdr/k5GT8/Pxwd3cvU4gJS6gO2dosJTMzk4ULFyKEYN++fezZs4fvv/+ee+65h+zsbDIzM3F3dy9VdrMDBzRF0Lq18fIFC95g8eIwZsyYx8SJsyzqMzY2invu0TaxIyPtc7aqsD42nRFIKdOllKFSyu5Sym661zZRAvZGeno64eHhRERE0KFDB5YuXWrV+9WoUYPU1FSrKQHQrIP++9//4u/vj5+fX5VVAjdv3mTMmDFMnz7dZJ3c3FxCQ0OZO3cuW7duJTk5mXvuuQfQzHRr1qzJ6tWry3Bv0zb++lDX2dmWZ4n74ANNYfj5VYxzm6LqkJmphQFPSNA8xa2FJVZDrYBXgKCC9aWUAyxoOxhYBDgD/5FSvmei3jDga6C7lLLSh/t5eXn89NNPODs707VrV3x8fCxaJ/bx8WHFihUsW7aMpKQk6tSpUwnSWp9JkyYRGxtLbGwsN27cqJLvKyUlhVWrVtGkSRM++ugjo3U8PT2ZNWuWUcc8b2/vUoegLsj161DQ2OjKlVhOnPidfv0e4MUXZ5dqH6JWrbo0btyEt9/+d5lkUdiW3FxtyTAjQzuysrTDxUXL7CbE7Siw2dlamT7pTkHjg9q1oWNH68hoydLQMWAJmhOZYWFTSmnWqUwXp+gsMAiIBQ4DT0kp/y5Szxf4Hs08dXJJisAaS0MpKSmF1t3Pnz9vl5635V22eeONN1iwYAFZWVkEBgaabD9mzBhWrVrF2rVrefzxx6tkjt3U1FQ2btyIp6cnI0eOrLT7Hjig5bn18oJOBcwptmxZy9SpT/Pww0/yySdrK00eReWTn6+N4m/e1IL9VVSK8Nq14R//KHv78mYoy5VSfl6G+/YAzkspL+qEWAc8CvxdpN67wPvAjDLco8K477772LVrF76+vnaZ3D0iIoLx48eToUvDVFpnr4iICIMSKKn9ypUrSxVvyR7x8fEplRnw6NGjiYmJITw83OBUVh70Wbf0e+8NGjRmwICHaN++bH4m0dEXyMhIJzi4baFMagr7QEotu1tiohYrqqoF+bPEaug7IcREIURjIUQd/WFBO3/gUoHzWN01A0KIO9GS3HxvucgVj6+vL//73/+QUpKcnGxx7KDk5GQ2bdrETz/9ZGUJNWcvvRLQo3f2srR9UQVnrr2jhJo4deoUR44cMWwWV+Qg4GqBKBK9evVj+fLv6Ny5B88//whLl/6rVH0NH96bIUM6ceOG9SPclpX8/NsB83JzrZfasrLIy7udsCchQVvuS0jQ8jfExkJ0NJw/D2fPwl9/QWSkFoK8qikBsGxGoB9WFRyxS6BcTmVCCCdgIfCMBXUnABPA8lzClUFMTAzDhg0DoFmzZowaNYp33nnHavcqzfXytC/v7MMeSEpKYufOndSuXZv77rvPZL1BgwYRFxfHt99+S82aNQ2/r/DwcMLDwxk7dizPPvtsmWTQJ4Jr1ux2zoHExKv8+ON3eHpaHiLkn/8cRmLiNZydne3Cx+XyZe0BWauW9h5dXaFePe2hmJqqJYnXJ6L38dGWNHx9tSM7G86c0a77+WmWMBWUBK5M3LihKS0XF0327GxNbv1rR8GSWENlnSfHAQUDuTfRXdPjC3RAy3YG0AjYIoR4pOg+gZRyGbAMtD2CMspT4fj4+PDYY4+xdetWIiMjrZqPICAgwKizl6WKsTTtR48eXeyBU9VCTURHRzNy5Eg6dOjAX3/9ZbJex44dadSoEV27dqVJkyaF2v/yyy/ce++95ZIjPl7LFeDnl48Qgm7d+rB06bf4+Vme4+DCBS3ExLZtx2jYsOLCXRijYG4DPfn5cPEi1KmjKQD92OFSgfl+bOzt12lpt1+npt5OGu/qqrXXb57Gx2tKoEED8PfX2uXlaQ55169rZrh6N5DMTO26u7vW3tNT21DNzsaQ3CcpSVuPr1Pndi4Hfdu4OE0hCaGt3bu4aNdv3Ki4z64qY1IRCCFelVJ+oHs9Qkq5oUDZPCnl6yX0fRhoKYRohqYAngQM3lq6/AYGbx8hxG7gFVtYDZ08eZI777yT7Oxs7r33XkJDQ7n//vtLbBcUFMSmTZtISkri+vXrRkMVVBRhYWGFAsJB6Zy9wsLCCo3yTbXPz883OeqMjo4mIiKiSiiDGjVqMGzYsBIV5fbt241eHzNmDH379jUbqdVS4uJg69ZFvP/+S4wbN5033lhYqvZffLGFtLQUAgOta8CQnKyN6tu10x6Y8fHaHkdCgrb5WV7zRWN5kKWEa9e0wxi3TCTDFUJ7mOfk3M7boF+KunhR++vmpimPmzc1BVMJeaOqLOb2CJ4s8Lqo58vgkjqWUuYCk9Ec0E4BX0kpTwoh3hFC2FXAuqysLEPO4T179hBbcHhjATVr1qR58+bUrVvXGuIB2pLMO++8Q61atRBCEBgYyLJlyyx+KOvb6zHVXghhNiPXhAkTqsR+QVBQEF9//TULF5p+6BbcB6lTpw5PP/20QdE2a9aMfv36VYgikBISEjSDOyen0oevCAxsQbt2d+Du7lFuWcwRE6ONsE+ehD//1BTYuXOmH8a2RMrbiiUnx/h+RHa2prxUcp6SMWk+WiS2kOG1sfPKxBrmo1JKsrKy+Ouvv0hPT6dNmzYWeQjn5+eTl5eHi4tLme3NS8OGDRsYOXIkw4cPZ8OGDSU3KML169eZP38+jRo14pVXXjFZr2g46qJUxdhDRTH1HpcuXWo2VHdJ6M1HjeHkJPHxSeD48S34+NTgoYcsN2t98cUn+eOPAyxevIHOnUsfLr0gCQm3l4CuXtUelLVqFd7cVtgf1jQfNTcjkCZeGzuv0ggh8PDwoHv37vTt29fiMBG7d+/Gzc2NOnXqMHXqVFasWGFVOYODg5k+fToPPvhgmdrXrVuXBQsWmFUCoM0eli1bZrLc3qKRGrNwysvLIzMz02T0UWMht0ELzAdaGOratWtXqNVUfr7g+PHLzJo1nkWLwkhP19a09Y5DpqxN/vWv19m6dT1xcdGkpaVYfL/UVG0t/sYNzbLl4kVthH/hgra+f+GCti6fmamUgKNjbrO4sxAiGS2+kKfuNbpz685Rqwj5+fm4uLhw69YtPvnkE4YNG8Zzzz1ntfsVTbBuDRISEpg4cSJ+fn4EBgaWa4O6MjCVTOf06dPMnTuXPn36GE1ZaUqZxcbGEhERwVtvvWVYLqxIq6kaNRrQv/846tYN4Pjx4uVOTtp6t7e3Zlnj5SX5/HPNIX/DhnPUr9+Ey5e1dXFXV21TNTNTS3gP2tq5p+dtZyaFwhJK9Cy2N6yxNHTkyBHee+893N3dufPOO+nUqRODBg2yuP25c+fYtm0bLVu25IEH7Dd5iJSSs2fPkpWVRadOxqOInzt3jlatWtGiRQvefvttnn/+eTIzb4eW8vLyKtXehLUxFTq7Ro0aJOuehMa8qM2F3AbKHI7b1NLQzz+v4PDhTfTt+yw9ew4z20dB8vPz2bp1C4UVfwAAIABJREFUAbm5WTz++GyL2ymqH7b2LK72XLp0iY0bNwKwZs0aXnjhhVIpgpYtWzJ16lRriWcgMTGRmzdvUq9ePWrXtjwJekHatGkDaPGVnJyKrww2bNiQdevW4eHhwaOPPgpg19FITY3skwsMh42N6I1ZYXl4eBAWFsbo0aNLdS9LiI09wR9/fE+7dv1L1c7JyYlHHnm1zPdVKCxBzQiAuLg49u/fT2RkJFevXqV3794GRzF7oqTEMpbQsWNHhBAcPny4VOGV7RVTI3tjFB3RF4zdJKVECEF+fn65EvSYmhHExv7NtWsX8Pdvi6dnDXJzs6hb13Jfgn371nDu3AH69AkhOLinxe0U1Qc1I7Ay/v7+jBgxotTtfv75Z95//326dOnCwIEDqVmzJt27l8+iwxw1atQgODiYBg0alLkPc85VxkhMTOTQoUPUqlWLu+++u8z3tRbGRvamKDqiDwkJISQkhEmTJvHZZ58ZAg2W12fDGE2atKNJk3bk5mYzerQ7zs4urFqVXaK1WXZ2BhcvHuH77xcSGXmUwMDOShEoKhxLYg0pTBAXF8eOHTtYtWoVgwYNYsYM68bNmzJlCufOnbPqMtTly5dZuXIlP/+spVP8/fffefDBB5kzZ47V7lkeQkJCWLJkCf7+/ggh8Pf3N+nPYWqTWx8rSm+SGxISwmuvvWYoL63PhjlcXNyoVasRtWv7k5dnxMOqCNevX+Ltt+8lMvIoY8Z8THBwr3LLoFAURc0I0AKPHT58mBYtWtCgQQOEEAQHB5fYbsCAAWzbto2EhARWrlxpcgO2KnH8+HHGjh3L/fffT//+/WncuDGDBw/mzjvLFjWzMqhbty5xcVr0kunTp9OoUSPGjh1bKB2kuRH9/PnzcXFxoXnz2+Gznn76acLDw+nQoQObN28ut4wnTvzI1avnad9+AJ9/fsXidk5OLrRu3Yc6dZowZIj196EUjolSBMDOnTuZNm0ad911F7/99htdu3bFkn0IPz8//HTZR8aMGWNtMSuEIUOG8Pfff7Nr1y5atmxZrLxRo0aEhITQUZcBo2PHjibDMNgL2QWig9WqVYuQkBBu3rzJu+++S0JCQomb3GlpaUY3xC9cuFBhMv7883L271/LxImraNy4+OduioYNm/PWW8XNXxWKikQpAqB169aMHj2aoKAg4uPjCwUfsydefvllvv/+exYsWMBDDz1Upj4uX75MTEwMaQUjgxXgjjvuKFN6RlsydOhQQ0J4feavyZMnM3ny5BLbVlak1Q4dBuLh4UPjxq3K1D4hIYorV85Rv35QqRSJQmEJao8AGDx4MCtXrqR169bk5uayZcsWi7xJ//zzTxYvXsyvv/5aKXJeunSJM2fOWLQxaootW7YQFRVlcc4F0PwPcoxFDLMzSpP+UU958zxYSv/+4xg/fhnBwT1YunQcr77aiejoYxa337t3NfPn38+ePeEVKpdCAUoRGNB7qEZHRyOlNIwMzSmDn376icmTJzN37lw8PT254447rCrjJ598wt9//80/ymFDFhgYSGBgoMn0kxkZGdy6dcuw3BIfH4+rqyv+/v5G69sb+fn5HDt2jBkzZvD99yXnOzKXp6FHjx40bdq0kE+COaKi4L33tFj85oiPv8ilS3+RknK9xD5//30r48bVYtOmd+jQYSANGpQrDYhCYRSlCNDy27722mvFRtoljQw7d+7MxIkTuffee8nMzCzkgWsNGjVqRNu2ba0a7nr58uXUrl2b6dOnA5qTVV5enl3PCJYvX07//v0RQuDr68uvv/7KggUL2LRpU4ltTVkSBQQEcOnSJWJjY0nVB9QvgWeegc2btaMoSUnx3LhxmdzcbJ577jPee+9PgoN7lNhnVlYa6elJdO/+GKGhu+jff5xFsigUpUEpAuDNN980GXranDfpwIEDWbx4sUGJlNZG3xaEh4czefJk/vjjD6Plzs7O1KhRAx8fH0BL45mTk8PNmzcrU8xScfLkSXbv3g1oylsfbvu7774rcXkvLCwML6/C2cL0FkZ79uwhOjra4iCE72khgdi27XZ2Mj2ffPIkkyb5c/r0Xvz92xIY2BkPD58S++zRYxj/+c9Nxo83HQRQoSgvShEAbm7/396Zx0VV9X/8fdg3QQEVFwRcyKV8SK3Un22PaWY9ZpamIpKapmXLY2Y9mpaVtllmWi5pucCjaVpZqaVl7vmouaa4Iu6GoCD7Muf3x5mBAWZggBlmgPt+vebF5d5z7/3MuXPP96zfr5vZhT2WOFhzcnLC09MTV1dXa0srwowZM5gwYUK54yUYs379ej777DNOnDhh8viYMWNISUnh/fffB5RnVkcPlj569GjWrVvH5MmT8fLy4m99KZyYmFhm957B02pISEiJOA+tWrWiWbNmFo89dO4MvXopb6LFb+nj40/dukG4uXmW67s5O7vg7V0XLy/btQI1NDQXE3pM+acvy8FacnIyaWlp1KtXjzp16lhdU3Hat2/P4cOHOXDgAP/4xz8qdI1169Zx5swZevbsSXh4xWawOCqBgYEkJZXsd6/K+Alr18KAAcq99Jtvwi23lExz+PAmjh79ndtu60HbtvdadN1du1Yyd+5Q7rzzccaOdfzAQBqKvDzlCTYlRcWASElRn/x85TG2fn0VBU6nU95iMzNVuuxs5SL8xg3lYTYtTXmb7dYNvviiYlo0FxMWYCjsy+Ng7YMPPuD999/n1Vdf5cyZM3h7e/PVV1/ZTOP48eO5cuVKpQZuK+IddcSIEVy8eJGYmBgCAwPLPsEOxMbGmjQCUHFncUuXLmX37t2MGDHC4gV1DRrAww/DmjXw3/8qY1C8sXn06Ga++246rq4eZRqCvXu/53//W01+fh65udnk5tp2HKq85OSo7+fqCkePqpCTrVvD5ctqu107CA4uzAOdDuLjld8cf3/7ai8NQ1xlHx/VzZeUpLYN0dDc3FRhnppaGP84Lk6dAyq6W3KyKtCtSd261r2eAc0QGGHwPWMpvr6+BAcH4+Pjw6pVq/C38S+7KhatzZw5kzVr1vDSSy8VON7bvHkz8fHxpKSkOKQhWLlyJc8//7zZ4xWNn7BhwwaWL19Oly5dyrWy+pFHYNMmFQzmp5+gd28VZ8DArbc+YJERADh7dj/bti3j0Uf/w5IlGbi4mJ7tZQ10OlWgFRsyISdHFfJNmqhCfNkyVfgFBamwlk5Oatuc7z9PT1Xwh4cXBsQRQv3v6QkhIdC1q6r16nTQrJkqVBMToU0bZWSSk5VB8fVV6erUAWdnVTA7OysNycmqAK9fv6jxTU9XYThDQlS6c+fU+VevwrZtKq2Xl9qflaXSXLhgOsZyeRFCfXc/v8IYyvXqKc0ZGeo7GoyFr6/S4eYG7u5q288PAgKU3jp1oHv3ymsyhWYIgNdee43t27czbdo0XF1diYmJ4c477+Spp54q9byJEycyceJEcnJyCA8Px8PD8eP1nDlzhpMnT9K8eXOTK4tPnDjB9u3bGTRoUMG++fPnk5+fT1BQUFVKtZiZM2eWOphdUWdxUVFRdOnShU6dTLamzeLpCf37w6JFaqxg507w9R1BauoBXnxxFe3a3U+7dpa5o77jjn40aNCc4ODbyj2+UB6ys+Hdd1Xw+r59ITBQTYetVw9+/910BDPjfQkJquBq3VpFQQsMVIbj4EG4eVN1eVy6pNL6+KgC9/hx9f+BA6ZnWplCCBWv2NVVFYzJyep69esrIwWq4HRyUp8mTZQRy8pShS9YHsPYy0sV1nXrQsOGyqA4O6vCOS9PaalbV22D6gYMCFDGLChInePhUbJFWFHq1QNbebHRDAFw9OhRduzYQUpKCikpKcydO5cbN26UaQgMuLm5MWCA5fFnK8rmzZtxcXGha9euFVo8BWrW0Ntvv82bb75p0pHcK6+8wqBBgwo8cQLlis1gD/r378+RI0dMTvMMCAio8Arhhx56qMKaundXBmH5clVAOTtPJj//AYsczRkTEtKekBDrvf05ObB7tyq8XFzgyJHCLg5DwawPzVGEwEDVt63TweDB0LKlMgS33qoK5vh4VRAWHyqTUtXg//5btR5cXOCf/1S17fh4ZYD27oXDh9U9dDplVIKDVcvg6FFVoNetW1hj9/FR10xOVoVsWpr6uLkVRm0zcPWq+tu4sequAnVtg2G4915VsKenF7Y4cnOVAfH2VnpMhO2ocdh0sFgI0QuYBTgDC6WU7xU7Pg54GsgDEoHhUspSncvbYrA4Li6OxMRE2rZtS3JyMhs2bKB9+/bce69lA3lVhbu7Ozk5OWRmZla49RETE8PSpUuJjIwkOjraygrtR0UG+21B8XgEN2/C9OmF+1q21BERkU3duvHUretCYGA4WVmqgJZSFTp16qj+cx+fwtrk5cunWL58MoGBYQwaNB3DRK7ERHUPX9/CWnCdOnDsmCrknZ3h2jXVHePpqbZTUkxr9/aGIUNgyxZVqLZpowY6GzSAnj2V8cjMtF/fvk6nPi4uhYV/YKAq+K9cUV1N7u6qwHdxUUbm3DlVqIeFFfbfF+/6qi7YMh6BzQyBEMIZOAH0AC4Ae4BBUsqjRmnuB3ZLKTOEEGOA+6SUT5Z2XVvNGqoIkydPZu3atUydOpWbN2+Sl5fHsGHDbHIvKSU9e/YkMzOTrVu3mowuZit++eUXTp06xUMPPURYWFiV3be8GAeasUY0tUuXLnHkyBGCgoIs9ixrKjBNWhosXgz/+1/5+p09PMDHJ4P8/DxSU73Jzy9sBbq6qkLPwrVuRQgNVbXf9HTVlePmpgxFjx5gordQw0GoroFp7gROSSnP6EWsAB4FCgyBlHKzUfo/gCE21GN1EhISOHToECkpKQwbNgwpJdHR0TYppIUQbNy40erXLc7XX39NQkIC/fv3Lyj0586dy3fffcfq1asd0hCcOHECLy8vBg8ebNXa/48//sgzzzzDiBEjWLhwYYWv4+MDY8eq7ogDB2Dr1mscPXoJZ+cgIIvs7CuEhNyCt7cfeXmQlJTJjRsuZGW5kpVVWH0VQoeTkwScyc1VRsXHR/VLp6WpFkVenmoh1K+v1jW4uamafni4OubkBC1aWK/fujpz/fpl5s17Cjc3T15++Tt7y7ErtjQETYDzRv9fAEoLrTQCsIu/44ULF5KUlER0dDRBQUFs3bqVc+fO8fjjj+PpaX6Abtq0abz88ssEBwcTFRWFk5MTOp2uSmvrFcUQmrE4ixYtYuPGjURERBQU+r169aJRo0aEhoZWscqy0el0tG7dGikleXl5FR47MUVYWBgPPPBAQZznyvDtt9PIz8+lT59X6dw5EFCzrz76qC97935Pnz7fcNddj5ORkcro0Q3w9g5gzpxz/PBDLPHxB+nTZwC33Vb4+mRlqa6OevVKFuq1pV+7ssTH7+PQoV/sLcMhcIjBYiHEEKATYLJTXggxChgFFZ8KWBqzZ8/m0KFD9OrVi6CgIIYPH87p06e54447uMXUiiA9wcHBBAeruLNLliyxui5bsHLlSqKioujXrx/Lly8vcXzAgAG0b9++SM3/mWeeqUqJ5SInJ4eWLVsWcUFtLXr06GG1gfIffviAzMxUevf+d8Hsn/z8PJ58cjrDh8/Fz0+FH83KukmnTo8RH78PV9dMBg82PWXYw0N9TKEZAcv44w8Vka5791F2VmJ/bGkILgLG0bmb6vcVQQjxADAJuFdKaXL5hZRyAbAA1BiBtYUOHz6cixcvFviU6d27N4mJiVYvWCpDQkICrVu3pmXLlpXyaeTi4kJOTo5ZB3lPP/10ha9tDzw8PMy6y3Ak+vadSHZ2RpEpoBcu/MVrr0UQFtaR6dPVuJe/fxNeeEEZ6Li4bRw58hvdu4/Cx8efP/5YCQjuvrta9aA6LM2bdyI9/Tr33FNzJk1UFFsagj1AKyFEGMoADAQGGycQQtwOzAd6SSn/LnmJqqF4DOC77rqLSZMmER4eXuqg4+LFizl16hRRUVEEBQWRm5uLv7+/TbqGDN5NjaNxVYQ+ffqQlZVl1g21KdLS0rh+/To+Pj7Uq1evUvevjlijtdGnz6sF25mZNxk3LpwbN67g6uph1o/Q99+/y4ED66lfP5SOHfvw+edD8fT01QyBlejV63l69TK/ELE2YbNGpJQyDxgL/AwcA1ZKKf8SQrwlhOijT/Yh4AOsEkIcEEKstZUeSylPXIIVK1Ywbdo0zpw5Q3h4OPXr1ycxMdEmusLDw0lPT2fPnj2Vuo6Liwvu7u5mnezFxcURFxdXxODMmDGDZs2a8cknn1Tq3tWN+Ph4PDw8rO6Tyc3Nkxs3riCE4OOPj9OgQRjLl78GwLVr58jLU3nfpctAAObNe4orV07SrdsQ/u//Bpu9rkb52bt3LWvWvMPly47fqrQlNh0jkFKuA9YV2zfFaPsBW97fUo4cOYKTkxPh4eFMmjTJbFyC4q2Cp556im7duhEeHo6/vz/5+fnodDqbaBRClHCXbAt69+5NfHw8p06dKlhUFhAQQJMmTark/uXlzz//ZODAgXTu3JmlS5da9dpeXl5kZ2ebDetpKTqdjjNn9uDs7EpYWAecnV34/PNLuLt7k5r6N5s3LyIwMIRBg95j6tS7SU6+yMyZJ7nnnqFs2DCL8+eP4Onpy3PPLbPSN9PIy8shNfUaW7Z8xd6939G48S0VDiNaE3CIwWJ7061bN1JSUkhOTi41YlVxBg4cWLB97Ngxm+mzJmfPnuWVV16hcePGzJo1q8TxFi1a4OrqWqTQf/7550v15WNPkpOTOXnypE3iTDdo0ID09PRSZ45ZQm5uFpMnd8bV1Z2lS9XYTL16jQBwdXVn6NBPCAwMIS8vBxcXN1xc3AgIUMNr06fvq9yX0DBJQsIhXn/9DgAeffQ/tdoIgGYIABW8PjU1FXd3d5o1a0aCCe9ZtpitVB7279/Pe++9R8eOHZkwYUKFr5ORkcE333xDmzZtTB6virUK1qRr164cO3bMJjETrNUKk1LSosWduLgUjVexatUUTp78g8cee502be4BYObMk+TmZuPsXPL7ZGSkkJOTha9v/WoxRdmRycxMxde3Aa1adWbgwOlWu66UkkuXjuPl5Vdg7KsD2q8J2L17N8eOHSuITGUuYlVxDh48yO7du8vsOoiNjSU0NBQnJydCQ0PLjJplivPnz7Ny5Uq2bdtW7nONCQ4OZtWqVcyePbtS13EUvLy8CmZTVSXGzzQwMJDAwECcnJx47LFQtm8v+nw9PLx5553dvPnm9oJ933wzlTVr3ubw4Y1kZt4skt7V1d3kPV94IZQxY4LIyLhh/S9Uy7j11n8yf/5Vxo0rO5xpedi4cS7jx7dh8WLHbEGbQzMExSgtYlVxhg8fTufOnYmLi2Po0KF06dKF06dPF0lTnsHn0ujYsSMrVqzg5ZdfrtT3q1OnDk888QTdy+HPdsuWLURERPDcc89V6t7VjdjYWOrUqYMQguDg4IJnVvyZJiUlkZSUhJSSK1cS+OKLUSWMQXEOHFBDZ/36TcHNzZNt22K4dOl4qefUqVMfX9/65OU5bvzo6kZubjbnzx/hwoWjZSe2AH//JoSG3l7tjLUWoayCxMbG8swzz5Cenk7jxo1xdnbm/Pnz7N+/n4iIiIJ0oaGhJruaqjJqlqXodDrCwsJwd3fn+PHjBTOLNmzYwEMPPUSPHj345RfHWon522+/sX79erp3706vXr2sdt3SnNhNmjTJ5DM1JjAwhNmzz5o9vm/fD2RkpNC+fU+++eZNNm2aC0BYWAdGjlxIWNjtVvkeGqVz6NAvvPvug9x6a3cmTdpkbzmlYktfQ7W+RXDz5k2aNWtWpPAGFfi8ffv2vPLKKyXOMRQShi6hS5cukZiYyBtvvFHCx7+5AqOiUbMqS35+PkuXLmXRokUljmVnZ3Pu3DkSEhKKTC/t0qUL+/bt44uKxsizITt37mTGjBmV7jIrjrnZY9HR0WUaAYCkpMLnm5iYwKhR9Xn99UIXER07/ou77x6Cn18DwsO7Ehx8m/4eKQQHt7PSt9Awx4wZj/Lmm93IzLxJ48atCQiw7hhgauo14uK2c/Xq6bITOwC10hAY9++2bduW8+fPc/Fi0UXPW7Zs4fDhw8yYMaNEv76pQiIrK4vFixfj7e1d5D7m5uuXd/D5r7/+IiYmhv3795frvOIYHOONHDkSQ2vQkB/e3t40adKE6dOLDp75+fnRoUMHQkJCKnVvW9C9e3fef/99HqxMVckE5gx1fn6+2WdqjHHBkpeXzc2b10hPTy7Yl5GRyurVb7F161LuvnsIH3xwiEWLUvj3v9dUKgpZUtJ5fvxxRoXPtyWnT+/lzz9/srcMsrLSOXx4IydP/kG7dvfz0UfHGD36y0pfNyXlb86ePUBubjYbNsxi6tS72bq1erieqVWzhmJjY3nxxReLxLa9cOECnp6eTJo0qUi6zz//vOB/Q78+qDEES6eYTpo0CVNdb0KIckfNWrduHRMmTODll1/m9tsr3m3g4uJCdHQ0rq6u6HQ6VqxYUaQL5OLFi0yZMoWgoKAq9eNfEaztdtoYc7PHAJPP1Bg3Ny+efLLw+TZs2IJ5864WOe/AgXV8840KDHTPPcqfkJeXb6lBaBYseJpz5w4zevRXNG3atsTx3NxspkzpSnLyBQICmtGli+2DJZWHc+cOsn79LBo2bE6TJqZnrVUFHh7efPbZRU6d2o2Pj/WCK+zd+z0LF46iW7ch3H77w7RocSd+fg2tdn1bUmtaBIbuHFMBzjMzM4usmp00aRKZmZlF0hgWlYH52ryfn1+Rfn9zBkNKSVRUVLlmELVu3ZrIyEg6duxoUfrSWLx4MV988QXOzs6lLqAzcOPGDaZMmVKipWBLypppZa1BeHOYmj1mCX5+AYwcuYBu3SJJS7uOlBInJ2f8/BpQt25hobBnz7cA+Po2sPjaFy4c5fTp/5kciFy/fhbJyRfp128yt9/+MG3b3ldu7cbk5maTkHCwUtcozvHjOzh//jC7dq206nUrgo9PPSIirDemBODk5EyjRuGEhETQtetA3nlnNz17Vo8JFrVmsNjcoK0xISEhTJs2jaioKLM1eZ1OR2xsLCNGjCA7u9BHnsEF9caNG3nggQcsvqeXlxfR0dGsW7fOJjXbsnBycir1uwJcuXKFRo0a4evrS7169Wyus7SBWqDUwVprDsLHxsYSHR1NvqVBboGgoBBmzlT3f/fdB0lLS2bMmCUkJBykdeu7CQhQC9+2bYth3761dOsWSadOj1p07YSEg+TkZNK0aTs8PQtjQsbH72fixA54e9dj7tzLuLi4WdR9VRpLlrxEfPw+xo37Fl/fwEpdS0pJfn4uZ87s48SJHXTuPAAPjzr4+FS93ypT7tffeac7Z8/uZ9q0PTRs2KLEOcnJF/H3b2L2mvn5efz220J27VrBxIkbcXZ2qXT+m0IbLK4ksbGxFg3wGWqV/mZi8RlaApGRkSxatIjg4GCEEAQEBBSsPo2Oji6olb7zzjtlLnTKyMhg3rx5NqvZmiIlJYUrV66Ql5dntnVjvN/Pz49+/fqRmZlZqs7yrJcoLa25VsqLL75Y0AowhzUH4SMjI1myZAmurq5lJ9Zz9eo5vL3hxo2rnDt3iMuXT/DVV2OZM2cwH33UtyDd3XcP4aWXVlpsBABCQv5Bq1adixgBABcXN+69dxg9ez6Hq6t5P1IGDAY+Pz/P5LTJnJxMtm1bQnLyhVKnQZ44sZPLl0+Sn5/Hrl0rzXaZrVw5magod3x8/HnkkfEcP76Df/+7Ff/7n3Xn8FvCzp0reO21iCLTezMzU0lPv05qaiJxcdvQ6QoN//Ll/+GFF0I5dmyryevl5maTlZXGunUfcezYFvbsWVMk//PycsrsSnQEarwhMNQuLcVQAJnqFkhLSysosAxjBcuWLSMzM7PIDKJRo0bx7LPPMmHCBPLy8sq8Z/EfimF2SmxsbJECs1mzZixbVnl/M506daJRo0bEx8eb7QIx/q6enp7s27eP3GJxFo27kCzpqomNjSUwMBAhBEOGDCmSNioqCiEEgYGBZgv6pKSkEgaiONZeAR4ZGYmvr6/F6YUQfPBBL+rUcWfmzFO89tp6Ro36gsDAZkREPGRVbQaCg9sxevSXDBjwNqB+T4cObWTRojEFDuwMHD++g5kzH+f69cuMGdOIKVO6sGPHf8nMvImUsuAzYMA02rX7J0FBLdm4cS4//fQxqanXSEu7zoIFw/jjjxgWL36OcePCeeopLz799EkOH15GcLCKcdy0qYoTHBQkOXVqCwB79y6nTh04evR70tKSgGQaNgQ3txt8//1b5Off4NChH9i793tcXYvGW7hw4TDnz/9V8L+5tRQ6nQ6dTseGDZ+yZs07JY4fO/Y7CQkHSU4unBwybty3LFhwjbVr32fq1HvYt+8HnJxUOFBXV3d0Oh1nz+5GCMjKSkWIHNat+5jFi1/g6NGNjBwZQGbmTV56aRWdOxeOy0yc2JGhQz1ITr5Q5jNMSjrPn3/+RG5utv77Hq1SR3g1frDYVO2yLJKTk1m2bFmJgeWkpCSioqLYsWNHwWCyudrrvHnzihTwrq6uJQrS0sjPz2fYsGEIIQo8gZ4/f56nn34aJyenSnXJ1K9fn5s3bxZ0eXh6epb4DklJSUUMaFnTYMty1hcbG8uwYcPM5oEhr0yN4VhKRQbhLSE5ObnsRIC7uzsgSE9P4c47/Th5UuDh0RWATz89W+nugpSUv/n11wVkZ6czaNC7ZtMJIYiNHc+5c4eIiOhNaGgEX3/9OvffP4LVq9/kr782c9ddPQgIaMTZs4eZM0f9lvz9G7J06RYCA2+hVatncXZW4S1//XUWCQnHCQvz5vjxA2zevJgmTby4/fb2ZGcnM3bs68yZ8w6tWgWSkXGUSZNG06fPIOrU8aNDhy58881GDh/eR4cOXXBygoULl7Np02B0unw+++wpMjLSWb/+GzZunEM9A9HKAAAV20lEQVRSUiK33HIbY8eqllJ+vorANnfuK2zd+jMffhhLWFgY48cP5uOPV9Khwx3k56tA9SkpV+nb9zYaNQrj6NE9ODk5MXDgAFq0CMfFRUV1e+ONGQwa1J8mTVrRqBF4eoJO15T8fDh37j7OnNlBw4apuLruZseOTYwc2Z8RI/rRpk175s//kNmz3yI6+gW+++4zIiPH4ONzAWdnJ/r2HcyIEU+Qnq5ChUoJbm6uCCHIyLhEgwYBbNoUQ/v23Vm//lM8PHx54om3C57Z9u2xrFjxH+67bzhPPz2fd9/tSXLyRV58cQXt2v0fu3Z9TatWbXjwwd6V+g2ZxbgWUB0+HTt2lOVBCCGBcn1CQkKklFKGhISU+9yq+Bj0VZaYmBjp5eVV6r0CAgJKTWPQUlo+V2Ve2gJz2oUQMiAgQAohZEhIiIyJiZHHjyfKTZviZHy8lPHxUsbFSblrl5Q//ijlqlVSLl8u5YoVUq5cKeWaNVL+9JOUmzZJuWWLlNu2Sbljh5Q7d6q/27ZJuXWr+quucUEC0sPDS/7+e5bcsUPKWbN+lp999qvctStP7t4t5R9/qPPHj/9URkePk3v23JS33XaHbNSoqdy2LUGuXbtPPvzwAHnw4HW5f3+SXL16p7zjjrsLvtO7735RoN3wmThxhnzvvYUyPl7K/fuTZIcOXeSWLadlfLyUp0/nyzNndPLo0XQZHy9ljx6PSkCOGfOaBKS7u4c8diyjxDXj46W8554HJSD79x8mb7uto/zhh33yzjvvkePGvS0XLfpRDhgwQu7efUmeOpUno6Kek/7+gfLPP6/JIUPGSED27TtExsdLuXr1Ttm//zA5ZconEpD3399bvvrq+3L+/O/kmTM6GReXKTduPGpSg/Hn2LGMAq2TJn0kXV1d5dixrxccnzZtvgSkv3+g9PDwlEOGPKt/xpnywIHkEtfbty9Rrl27V+7fnyQjIu6SgBw16hUJyMDAhvq8k/L4cSmnT/9Ktm0bIT//fI08eVLKCRPelf7+gfLw4dSC+3bv3rtSv2NgrzRTrtb4wWJzA7ZCCJN9d4ZBycjISLMDqfbGeCC3MlgymF0axnlV2rUCAgIqVdO3FFut1i5t8Lp4yywpSdUIbcWsWVMRQrB37w6eeWYCkyc/S3z8Cb788ifuv7+wtij1g6JSShYu/JgFCz5k48aj1K1revwrLu4wzs7OLF06h9DQVkRFPVeu4EUG0tJu8tFHrzNw4Ehmz34bFxcXPvnE9FjRzz9/S3z8SR5+uD9Nm4YWaTFduHCWBx+8lQYNGvPLL3/h6upKdnY27u7u5OTkEBPzOVFRz3HmzHGeeKIr3bv34eOPl3LmzHGys7No105Nsb569RJPPnkPCQmnmT37ax55xLIptTqdjoiIeqxZ8wctW6qprhkZ6Zw/H88tt9zKtWsqjlZgoPlZX1JKeveO4MyZ4/TvP4yzZ0/y1lufs27dKrp0uZ/bb++Mk5MTx44dwsPDk7CwVkUGs3NycnBzc+Patb+ZOvUFHntsIMOH9zV7v7IobbC4xhsCcy+xYaZOQkICzs7O5OfnF8waMrzclS0obUVAQADXrl2r0LmGuffW+F5jxowpmO3k7+9fJYW9OcwVzNbC0jULtjYEAK+/PobY2HlERo7m7NmTXL+exJo1u3B3NxPEGMjOzir1OMDx40fo1es23Nzc+fXX4zRtGmJt6RaTmppCVNQDjBz5SqmFd1raTZ5++l/UqxfAZ5+tKuGVVUrJXXc1JiwsnIceeoLTp+MYOPDpAkNRGrt2baZLl/tLPR4TM5cBA4Zz770lp6Kmpd3kuef689df+9mxI4Gvv15Eq1Zt6dLlfnbv3sqnn04lMLAha9cu58EHH2PevNIHz93doVElHJrWakMAFV94FBsba3YqaUVwc3OrdKhJw3W+/PLLchd6poxiaXh5eeHp6Wm2gDfXqqoKvL298fDwIDk5ucqn3JZGVRiCpKREVq36kh49HqV581usNlVRSsnmzeu4cOEsQ4faf/67TqezyN12To6amaPGaEpy7drf+PrWZejQnuzevYUFC76nR48+JtOWh4kTn2H58gV07nwfy5dvNpsuPT0Nb2+fIvuef34gP/74NYMGjeKnn1bSr99QJk+eWer31QyBEVXtdO7ZZ58tMfBrCkOrwhwBAQHMmjXLarXxinSDWNLCMRTuhtYRUC7jUZXYuhVQEarCEGhUjH37drJ79xYGDRpFvXoBlb5eSsp1Jk9+lscfjzbZIiiN1NQbrFz5JX36DMLHxxcvL+8yz9EMgRH28D5qyjWFMV5eXqUWlMULrNLGLVxdXS1qNVRknMCSMY+YmJgSBas1u5MMCCFYtmxZQUutor9DR/PiqhkCDVthS0NQ49cRWIPIyEiuXbtGTExMgeM1Z2dngIJ4BeYcsjk7O5eotZoLfrNs2TK+/PJLAgLKrq1UZL58WeeEhISYrF1HRkZy9mzlpz8W12K4rk6nq7BDO3t5cdXQqElohqAcGAouKSV5eXlIKTl79iyRkZFmC/clS5aUKFxLC35jyugUL4DNRUwri9L851hyzfIYH29vb7OGw9S9Kurbx94hRDU0agI2NQRCiF5CiONCiFNCiNdMHHcXQnytP75bCBFqSz22pDyRzQzpDbVhgzExdVxKybJlyyy+rqUaoWSrpqxrWlpYe3l5MX/+/ALdltyreP4FBASUOX2xogZRQ0OjKDYbIxBCOAMngB7ABWAPMEhKedQozbNAeynlaCHEQOAxKeWTpV3XUSKU1VbMjZcUH2S2xgBu8dlevXv3tptzPkvRxgg0bEW1HCwWQnQB3pRSPqj//z8AUsp3jdL8rE+zSwjhAlwB6stSRGmGwDGwZSyA6oxmCDRshS0NgS19DTUBzhv9fwG4y1waKWWeECIFCACKrJYSQowCRoHWJ+woGMYzNDQ0qj/VYrBYSrlAStlJStmpfv369pajoaGhUaOwpSG4CAQb/d9Uv89kGn3XkB9gPz8FGhoaGrUQWxqCPUArIUSYEMINGAisLZZmLRCt334C+K208QENDQ0NDetjszECfZ//WOBnwBn4Ukr5lxDiLZQ71LXAImCZEOIUkIwyFhoaGhoaVUi1czEhhEgEqtIlaCDFBq8dBEfVBY6rTdNVPhxVFziuNkfW5S2lNDnIWu0MQVUjhNhrbsqVPXFUXeC42jRd5cNRdYHjaquuuqrFrCENDQ0NDduhGQINDQ2NWo5mCMpmgb0FmMFRdYHjatN0lQ9H1QWOq61a6tLGCDQ0NDRqOVqLQENDQ6OWU+sNgRCiob01mEMIUc/eGkwhhKh8nD8boOVX+RFCOKTPFkd9L2tqftVaQyCE8BFCfAKsF0LMF0L0s7cmA0IILyHEZ8AGIcTzQojb9fvt+rz0eTYT+EkI8Y4Q4n576jGg5Vf5EUJ4CCHmApuFEG8JIf6p3+8IeeZw72VNz69aaQiEEE2AZYAAegNbgA/sKqoo41BeWKMBD2A+gJSyfEGKrYgQohXwLZAPDAcSgYn20lMMLb/Kz3CgAXAvEA98KYTwsHOeOfJ7WaPzq1YaAiALWCilfFFKeQVYCRwQQrS3lyAhhIf+rwvgBvxXShknpfwQSNTXLO1ZA0kHFkgpx+uDC60DLgshmtpDjJZf5UcI4WP8L7BLSpkkpfwK2AVM16ezXnDq8uFQ72Vtyq9aYQiEELcIIeYJITwBpJRJwO9GSYKB5sBxO2gLF0LEArOFEJ2klHmAD9DFKNloIEoI0bSqaiD6PCuoXUgpLwHrjZJ4Aa2llBeqQo+RLi2/yq+tpRBiJbBYCPGwEMJdf6iBUbJXgMeEEC2klLIqCjdHfS9rY37VeEMghOiGaj6NQnUhIIQQUsp0o2RuwFkpZXYVa/NEdWMcBA4BzwkhRgDvA6OFEIEAUsrzQAwwsop0PQysAcYLfaxpIYSLlDLNKJk/Vf+CavlVfm1OwCfAEdR78C9gCrAU6C2EuBVAb6C+R999ZWsvwI76XtbW/KrxhgAV32A4EA4ME0KEmHhotwOnAYQQI6uwKdoCSJdSfiClnA0sBB4DPIG5FF0EcgIV5a0qmqJXgUhUnr0qhPDRe5N1Mrp3W+AvvZ7BQohwG2sCLb8qQiPgBjBNSvk98DYqjngrlFGdJApnnGyg6hw6Oup7WSvzq8YbAinlMeCUlPIUsBF4C0r0HXcHAoQQq4HBqL63qtB2BAgVQtyj33UI+BWYAEwC/IUQbwghBgBPA5n682xa+5BS7gXi9Hm2AZinPySM7t0NqC+E+BZVCObaUpNel5ZfFmBs+KSUF4FOqMLM8P9cYLremKYDU4UQT6NaVslVpMth3kvjezpYfhnrsm1+SSlrxAfV9PY1+l8U3wbqAKeA7sXOXY+qrT1hI22BQENjPYCTfvt5IMboWAQqTkMgyvoPBX4BIqtCl4k880XVkO4wOuaOKoT3AQNsoKsR0LXYPkfIrxK6HCG/jLSNKLbPWf/3KWC70f66qIHFCKAeqvtjhQ3zbISZY3Z7L1Hx0mcAbg6WXyV0VUV+Wf0HaY8PMBk4pn84b+r3ORVLY3jILwE/6rcHoQrl+2yo7XUgDvgGeM9Yi367JbAaiNb/H4AK5hNk4zwzpctcnk0GNuu3e+n/9rWhtr9QNesO+v+NDZRd8qssXXbOr8koIzPOzHEn4DfgJaN9S4FbbZxfpeoqlmdV9l6iJhMcAeagJhoU/93bK79K1WXL/LLZl6qKD+ANfAh8DTRE1QhTgFD98RI1XP32dX26RYCHjbR5AO+hahL19foyAH/Dj80obU9U314HYACwGWhmD13F0hrnWR5wE5gFuNpIm5P+BViPanb/GxVMw275ZYEuc78xm+eX/j4z9PcpcY9iejqi5r/3BYagCui29tBVikabvpcUtipnmyvUKax1V1l+WaLL1vllkx+BrT9AXf1fF+A+wMXo2BfAcDPn+aEMxyHg/2ypTb/dyGj7PmA50M7MD28M8Kn+B2d1beXVZXQ8UJ+n+22ty2jfHGC8vhC9x975ZYmuqsovE8+yDfAHqrsgHDWg2LlYekNB8ygwFdgKdLO3LqO0Nn0vi+lyAg6jKkDt9Pd9CqOKEIW17qrMrzJ12TK/rP4jteUH1Q0wB9UH/ALQ0uiYQE2f2gxEmDnfCWhfRdpa6/e7oGqwZ4GPgP+hmnKGH5txTdfZUXQZne9io5fTWNfzQBv9/pbAYv32OFQN/CWgqeE5V2F+WazL1vll5lkatL2JGnzeCbyBmsky1Og3Jmyhp7K6jM63yXtp4lnept8/HZip3/8MarHfdKN3o0SXjCPosmV+VZtZQ0KIzqim+TXgHdSgygtGSZxQP7oc4KKpa0gpdVLKQ1Wk7Vn9PfOAP4HmUsqXUTWMcXq9SKMFT1LKfEfRZaQpT0q5w8a6mhrpOgWkCiGcgVuAF4G7pH4hltS/CfptW+eXxbqMNFk9v8xoa4JqFYFqobwFPCClnAqMNejWa5LYiMroMtJn9ffSzLMcoT9s6FZcJaWcD7wKBKFfMCZtuAixMroM2CK/XKx5MRtzA/hYSrkCCjxNdtev+suVUuYLIZrrtxOFcr7kZkhvJ20eQLaUsiCYtZTyJyHEeNQLc1bTVUSXK2q+/W2oZu9pVF+zFEK0klKerKW6zGl7QP8sU6SUbxsSSil/EEKMQxUytp7nXp109dAf24Jaid5Br+uwfjFiVaxCd0hdDmkI9CvmitRipJRxQojzRsdyUV1DxqvougOeQoilqFrbq3bWlmV8jhCiDaoWkABc0nSV0JULHBRCbAe2SSl/EUKEAQOx8hxyR9VVTm0tDM/S6Ny2qGd5Fvs9S0fV1Vx/7JQQYg7wmlA+qZqjWsLxtUGXKRyua0gI4WqcecUWoaQbHQtF1c6MCQRuRc0BvktK+buDaHMXQkShZjf9JqV8SkqZo+kyrUtKOVlK+Yt+O15K+a5UbiNqtK7KaBNCuAghHkNNof5VSjlMb8A0XSZ0SSkPoLqptgNrpZSPSLV4rEbrModDGQIhxFhgk1D+vv8Fqn9TGK2eM9puDuzW7+snhPBDuf0NlVJaPW5oZbShHI79jOpT/kzTVbouIUSQNbVUB12V1YaaSbIFuNORnqWj6hJCNJZSJkspV0spF9UGXaXhEIZACOEvVHfOg8B/UAMp0frmd8HgjRCivSwcyGkLhAsh1gP9UeMBcVLKTAfU5iyl/Nua2mqwrsexQZ+oo+qykrYnUDNdkmWxLhlNl9lnmWctPY6uyyKkDadJWfoBnFFe9QxzxJsDi9HPbUeNnC8FtgGNgWZAKsoFq81WbDqyNk1XzdDlyNo0XTVDl0Xa7XJTNUg9Hgg22udjtO2EWozSSv9/D+DZYtcYVpu0abpqhi5H1qbpqhm6KvRdqvyGagrenyjXvcvNpGkDrDNzrIQzppquTdNVM3Q5sjZNV83QVdGPPcYIrqFcA7RGuRTuCSCEcDYaWW+EivGKEOIuoQ/6LYQQ0oqzWqqRNk1XzdDlyNo0XTVDV4WockMgpbwMfC2lvI7qPzNE+MkHDBn4D8BNCPEhasm14VyJDXFUbZqumqHLkbVpumqGropil1lDsnCWylIgSwjxgn6/Tm9N7wH+CSRLKbtKKTfXdm2arpqhy5G1abpqhq4KYe++KdRUq9367fb6v30wGoDRtGm6aqIuR9am6aoZuizWb28B+gzbAGSjvO0F2ltPddCm6aoZuhxZm6arZuiySLudM86JQh83I+2dGdVBm6arZuhyZG2arpqhqzwfw8IHuyGEeAjl5ya7zMRVjKNq03SVD0fVBY6rTdNVPhxVl6XY3RBoaGhoaNgXh/A1pKGhoaFhPzRDoKGhoVHL0QyBhoaGRi1HMwQaGhoatRzNEGhoaGjUcjRDoKFRBkKIfCHEASHEX0KIg0KIl4VRtCkz54QKIQZXlUYNjcqgGQINjbLJlFJGSCnboXzKPwS8UcY5oYBmCDSqBdo6Ag2NMhBCpEkpfYz+bw7sAQKBEGAZ4K0/PFZKuVMI8QfKH308sATlsvg94D7AHfhMSjm/yr6EhkYpaIZAQ6MMihsC/b4bwC3ATUAnpcwSQrRCBSnpJIS4DxgvpXxEn34U0EBK+Y4Qwh3YAfSXUsZX6ZfR0DCBi70FaGhUc1yBOUKICCAfCDeTrifQXgjxhP5/P6AVqsWgoWFXNEOgoVFO9F1D+cDfqLGCq6ggJE5AlrnTgOellD9XiUgNjXKgDRZraJQDIUR9YB4wR6p+VT/gspRSB0QBzvqkN4E6Rqf+DIwRQrjqrxMuhPBGQ8MB0FoEGhpl4ymEOIDqBspDDQ5/rD/2ObBaCDEU5Y8+Xb//EJAvhDiICmU4CzWT6E999KpEoG9VfQENjdLQBos1NDQ0ajla15CGhoZGLUczBBoaGhq1HM0QaGhoaNRyNEOgoaGhUcvRDIGGhoZGLUczBBoaGhq1HM0QaGhoaNRyNEOgoaGhUcv5f2WfHpOaYkNRAAAAAElFTkSuQmCC\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0559044e5c794ec4b0a6c143d2bc1bba",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 1.3981064558029175, 'log': {'agg_test_loss': 1.405924677848816, 'agg_test_loss_p': 1.3981064558029175, 'agg_test_loss_kl': 0.007818251848220825, 'agg_test_loss_mse': 0.05087464675307274, 'agg_test_loss_p_weighted': 0.25710582733154297, 'agg_test_score': 1.3981064558029175}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>2.821728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.014804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.049933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.539386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss               3.264200e-01      0.908300        1.405925   \n",
       "agg_test_loss_p             3.264199e-01      0.899200        1.398106   \n",
       "agg_test_loss_kl            1.415805e-07      0.009100        0.007818   \n",
       "agg_test_loss_mse           5.554044e-02      0.052031        0.050875   \n",
       "agg_test_loss_p_weighted    6.167767e-02      0.172292        0.257106   \n",
       "agg_test_score              3.264199e-01      0.899200        1.398106   \n",
       "n                           1.000000e+00      1.000000        1.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  \n",
       "agg_test_loss                    2.821728  \n",
       "agg_test_loss_p                  2.806924  \n",
       "agg_test_loss_kl                 0.014804  \n",
       "agg_test_loss_mse                0.049933  \n",
       "agg_test_loss_p_weighted         0.539386  \n",
       "agg_test_score                   2.806924  \n",
       "n                                1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'anp-rnn_extras', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True, 'batchnorm': True, 'attention_dropout': 0.4, 'dropout': 0.2, 'use_lvar': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=anp-rnn_extras, trial=<optuna.trial.FixedTrial object at 0x7f8ded906198> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.2, 'attention_dropout': 0.4, 'batchnorm': True, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_extras/version_-1000/_ckpt_epoch_1.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "13077a47de2441f7a6c9a8c04cea9cfc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 2.559562921524048, 'log': {'agg_test_loss': 2.5598039627075195, 'agg_test_loss_p': 2.559562921524048, 'agg_test_loss_kl': 0.00024106727505568415, 'agg_test_loss_mse': 0.05162228271365166, 'agg_test_loss_p_weighted': 0.454759806394577, 'agg_test_score': 2.559562921524048}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.821728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.014804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.049933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.539386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss               3.264200e-01      0.908300        1.405925   \n",
       "agg_test_loss_p             3.264199e-01      0.899200        1.398106   \n",
       "agg_test_loss_kl            1.415805e-07      0.009100        0.007818   \n",
       "agg_test_loss_mse           5.554044e-02      0.052031        0.050875   \n",
       "agg_test_loss_p_weighted    6.167767e-02      0.172292        0.257106   \n",
       "agg_test_score              3.264199e-01      0.899200        1.398106   \n",
       "n                           1.000000e+00      1.000000        1.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  anp-rnn_pt_mean  \n",
       "agg_test_loss                        2.559804         2.821728  \n",
       "agg_test_loss_p                      2.559563         2.806924  \n",
       "agg_test_loss_kl                     0.000241         0.014804  \n",
       "agg_test_loss_mse                    0.051622         0.049933  \n",
       "agg_test_loss_p_weighted             0.454760         0.539386  \n",
       "agg_test_score                       2.559563         2.806924  \n",
       "n                                    1.000000         1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'anp-rnn_extras_no_det', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': False, 'batchnorm': True, 'attention_dropout': 0.4, 'dropout': 0.2, 'use_lvar': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=anp-rnn_extras_no_det, trial=<optuna.trial.FixedTrial object at 0x7f8d6cf94e10> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.2, 'attention_dropout': 0.4, 'batchnorm': True, 'use_deterministic_path': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_extras_no_det/version_-1000/_ckpt_epoch_3.ckpt\n"
     ]
    },
    {
     "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": 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x2GozAiHEKiHEDSFEhIl6IYT4RAhxUQhxSgjRxVqy2AtRUVElKrcHPvjgA0BzI82jRYsWvPLKK0oJKBR6rLk0FAIMNlM/BGilPyYBn1tRFrugadOmJSq3B2bMmIGUkmPHjgFw+PBhlixZwsGDB20smUJRebCaIpBS7gcSzTR5HFgtNY4AtYQQjawljz0QHByMu7t7gTJ3d3eCg4NtJFHl43//+x+zZs1i9uzZHD161NbiKBSVAlsai32Ba/nOo/VlilISFBTEypUradiwIUII/Pz8WLlyJUFBQbYWzSZkZWXx6aef8sUXXxjKevbsSZ8+fTh48CAvvviiDaVTKCoPVWJDmRBiEtrykV0vc1hCUFAQX3/9NdevX+fLL7/k4YcftrVINiMtLY2pU6cC2v6Bbdu28fDDD9OsWTMmTpxoiEiqUNg7tpwRxABN8p376cuKIKVcKaXsJqXsplILFk+eV9WiRYtsLIltcXJyMsyGfvnlF0N5q1at2LdvHytWrLCVaApFpcKWimAbME7vPdQTuCOljLOhPNWGxYsXA9CyZUsbS2Jb3N3dCQkJYc+ePezYsQOA69evc+7cOf766y8bS6dQVB6sto9ACLEe6AfUBeKBeUANACnlcqE5eH+G5lmkA56TUha7QUDtIyie9PR0MjMzcXNzo0aNGrYWp1Lx0ksvsXTpUj755BNefvllW4ujUFQYNtlHIKUcJaVsJKWsIaX0k1J+KaVcLqVcrq+XUsoXpZQtpJQdLVECCstwdXWlZs2a1KhRw65DTmRnZ3P16lViY2MNZfXq1cPLy4upU6cSEBBgO+EUikqECjFRxTH2oG/Xrh2urq4sWbLErkNOxMbG0qxZM3x9fVmyZAnZ2dnMmzePixcvApCammpjCRWKyoEKMVGFyYstpNPpDGXu7u6G8/yf82MvISeuXbtG7969DTurk5OT8fT0JDc3F51OR40aNQrsOFYoqjMqH0E1Zc6cOUUe9DqdjgYNGhAfH29UCYD9hJxo0qQJkZGRzJ49m+zsbBwdHQFwcHDA09PTxtIpFJUHtTRUhTH1QL9x4wZr1qyhfv36RuvtbS/Gu+++y/vvv4+bmxtTp04lMDCQnTt32loshaLSoBRBFcZcbKExY8bwwQcf4ObmVqDO3kNOREdHc+HCBZ544gmeeuopqtrSqEJhDZQiqMIYe6C7u7vToEEDRo4cydNPP819991nqPP397erkBPnz5+nY8eO9OzZk3PnzpGZmcmyZcsMnzdv3kx2dratxVQobI6yEVRhgoKC2L9/PyEhIWRmZuLv709wcDBjxowhLCyMYcOG0alTJ86ePcvSpUsZMWKErUWuUFJTU4mI0KKgt2nThrNnz9K6dWsaNmzIhg0bcHBwwMFBvQspFEgpq9TRtWtXqTBNbm6uXLt2rQSkq6urjIuLk02aNJFt27a1tWgVjk6nk6dOnZIBAQGyVatW8ty5cybbrl27Vvr7+0shhPT395dr166tQEkVCusDHJcmnqvFzgiEEA7APUBjIA2IkFLesK56UpQWIQSjRo1i69atuLu74+rqyrVr1/Dy8rK1aBWOm5sbHTt25MqVK4ayTz/9lKtXrzJlyhRatGgBFHXDzdtvAdjNMprCvjG5j0AI0QKYDQwELgAJgCsQiBYSYgXwtZQyt2JE1VD7CO6SmZlJaGgoR48epX///vz9738v0kZKSVRUFDVr1qR27do2kLJy0bt3bw4ePMgrr7xCp06deOqpp2jfvr1K8amo9pjbR2BOEaxHyxp2QBZqJISoD4wGbkspvy5nec2iFMFdrl69SrNmzQBo1qwZly9fJi0tjXXr1lGzZk2efvpphg4dSkJCAps3b7Y7t9ErV66wcuVKWrRowQsvvADAxo0biY6OZvbs2eTk5HDlyhWaN29u0nto7dq1alagqBaUakOZlHKUmbobwEflIJuiDEgpefDBBzlw4ABPP/00AImJibzwwgv4+Pjw0EMPceLECeLj4w2bqeyJq1evGiKxvvfee4SEhBhmTdeuXeP27du4ubnRtGlTozMCQC0RKewDU8aD/AfwANoMYFzeYUk/axzKWGyemzdvyueff14CEpA7duyQjz/+uBw1apS8evWqrcWrUK5cuSKDg4MN92LXrl1G261du1a6u7sb2hU+/P39K1ZwhcIKYMZYXGysISHEGqAF8DuQc1d/yKnlq5IsQy0NWUa3bt24fPkyBw8e5Pnnn+fIkSMcPHiQBx54wNaiVThXr14lIyMDPz8/Tp06RUZGBvfdd1+B/M6hoaGMGTPGaH8hBLm5FWoKUyjKnVLZCPJ1PgO0k8U1rCCUIriLTqfDxcWFO3fukJ6eTqNGjdDSPBTku+++486dOwwePJgGDRrYQNLKQ2BgIBcuXCA8PJyAgAC8vLwMORs8PT2NRiRVRmNFdaCs+QgigIblK5KiPJg5cybOzs7UqVMHX19fdDodmZmZ3Lhxg6SkJJKTk5k9ezaXL19m/PjxdqcEbt26xaFDhzh//ryhrEePHvTt25fhw4dTp04djh07ZqibNWsWzs7OBcaw95AcCvvApCIQQmwXQmxDyzD2pxBitxBiW95RcSIqTKHT6QxLFo0aNSIzM5Pw8HAaNGjA3/72N27dusV7773HJ598YmNJbcP+/fvp1asXrVu3ZubMmYSFhbFmzRr27dtHu3btqFWrVoH28+bNY9WqVQbDuq+vr12F5FDYL+Y2lC2pMCkUFhMaGsqcOXOIjIw0PLCaNm3KwoULDfsE6tWrx5EjRxgyZAiDBg0iMDCQzZs307p1azp06GBL8SuU2rVr07NnT44cOcIHH3xA27ZtDbGXfvjhB6N9goKCcHFxISMjg8cff1yFq1bYBebcR3+pSEEUxVN4B2xOjma7j4qKKuDmeOPGDUaNGsWGDRt48803uXDhAk899RRz5861K0XQr18/Dh8+zA8//EBERESBAHzG2LdvH9evX+fBBx/E19e3gqRUKGyPJcbiJ4F3gfqA0B9SSlnT+uIVxZ6NxQEBASb93aGgUfP06dPcvn2b1q1bs3//fkJDQxkxYoTdL3M0atSIlJQUrl27VmRp6JFHHmHnzp1s376dRx991EYSKhTWoawZyt4Dhkkpz5SvWIqSUlxmsfz17du3Jz4+nvPnz9OlSxe7izxqipSUFFJSUnj77bc5evQo77zzDgMGDACgb9++eHl5ce7cOVJSUhg0aBB16tSxscQKhfWxxGsovrRKQAgxWAhxTghxUQjxmpH6pkKIn4UQvwkhTgkhhpbmOvZCcSEi6tevz549e+jRowfz5s1jz5499O7dm7lz51aQhJWLdevWUadOHYYPH84vv/zClStXDB5VMTExHDp0iPj4eEP7V199lQ0bNvDf//6XUaNGceHCBRtKr1BUHOa8hp7ULwsdF0JsFEKMyivTl5tFCOEILAWGAO2AUUKIdoWavQn8V0p5L/AMsKzU38QOCA4OLrAJKj+urq4EBwcTHx9PWFgY69atY+XKlYDmO5+dnU1ycnJFimtzdDodiYmJbN26lX79+rF69Wrc3Nzw8vJi3rx5/PrrrwwaNKhIv4EDBzJy5EgVpE9hN5hbGhqW77MOeDjfuQS2FDP2fcBFKeVlACHEBuBx4M9C4+TZGryBWAtktlvy1vffeOMNoqKicHR0JCcnx5CQJigoiJs3b3L48GFWrFhBSEgIs2fPZvDgwdSoUYP77ruPo0eP2vhbVBxjx45l+PDhrFu3js2bN9OkSRNDXbt2hd9JIDk5GSEE77zzjkpYo7ArzCmC/wG7pZS3Sjm2L3At33k00KNQm/nAHiHEy4AHWshrhRmCgoJYv349UVFRfPvttwwbNqxAfd26dalbty7p6enUq1fPsO7t4OBgd/l5XVxccHFxYerUqUydOpWsrCxGjhyJq6srq1evLtJ+wIABHD9+nLCwMLp3724DiRUK22BOETQBNgkhagA/AruAsHIONTEKCJFSvi+EuB9YI4ToIAvlOBBCTAImQfHr5PaCg4MDLi4uAOzatYuwsDCGDh1qeID169ePfv36AVpgwezsbKPhJ+yJrKwsNm3ahKurK88++yxhYWEMGDDA4Fbq6uqKu7s7QghSU1NxdnY2hJ9QKKozJue/Usp3pZQDgKHASeB54IQQYp0QYpwQorh4BTFoyiQPP31ZfiYA/9Vf7zBa4pu6RmRZKaXsJqXsVq9eveK+U7Vnx44d5OTkGNa3v//+e+bPn8/Ro0f59ddfWbBgAfv27WPq1KnUrVuXtWvX2qUS+OGHH3juuefYsGEDADVq1GDjxo2EhISwY8cOXn/9dQ4cOGBof+DAAVJTUwkODsbT05Pt27fbSnSFokIpdiFUSpkspfxWSvl/eqPuAqAeUHRuXZBjQCshRDMhhDOaMbhwaIoo4CEAIURbNEWQUMLvYLfkPdyHDBnC3Llz6datG/v27WPu3Ll89913HDx40BBvJyAgAAcHBwICAggNDbWx5BVDREQEISEhvPTSS3h5eTF9+nRGjhzJ3//+dwYMGMCrr75Kt25F3ard3NxMGuUViupIsRvKAIQQvoA/+ZaSpJT7Leg3FC2BjSOwSkoZLIR4Gy0u9ja9F9EXgCea4fhVKeUec2Pa84YyS/j555/Zu3cvqampfPzxxzRv3py4uDjS0tIMbdzd3e0ihk5ERATHjh0jLCyM5cuX8+yzz/LVV1/ZWiyFwiaUNQz1u8Df0bx98ucjeKxcpbSQyqYI8mL/REVF0bRpU4P3jjWZMGECsbGxLF++HH9/f6NtDh8+zPPPP090dDQpKSlF6u0ptHJGRgYZGRnk5OSwY8cOvLy8GD58eJF2Tz31FLdu3WLjxo3Ur1/fBpIqFNbDnCKwJDvZOcCluHYVdVSmDGXGMlu5u7vLtWvXWvW6LVu2lIA8d+6clFLLShYeHi4vX75cpK0QwmjWLSGEVWWsjFy5ckUCsmnTpvLWrVsyIiJCxsTEGOobNWokgQJlCkV1ATMZyixxlr4MKNcJI8yZM8cQAC4PnU7HnDlzrHrdkJAQvv/+e0NgtE2bNtG1a1cWLVpEVFQUp06dIjExkZkzZ5pc67YH76vTp0+zefNmzp49C2hr/2PGjGH48OGsWrWKDh068P777xvab968mR9//JENGzYwYMAAtmwpbquMQlE9MOk+KoT4FO3tUQf8LoT4EcjIq5c2SlVZmTAV+6e4mEBlpVevXgXOGzZsSOfOnfHz82PBggV88cUXLF++nM2bN5Oamoqbm1sRG4E9JFtZv349wcHBPPXUUzg7O9OhQwfWrFkDwOrVq2nbti35vdDuv/9+ALZt28bPP/9cZI9GSZES/voL0tOhTh0olPNGoag0mLQRCCHGm+sopfzaKhIVQ2WyEZiKBmrL9ff58+ezZcsWunTpwtdfa/9FPj4+ZGVlkZycjK+vL++++261NxSDFmvom2++oW7dunzxxRcMGjSIPXvM+iIAcO7cOaKjowkMDCywG7mk3L4Nd+7cPXd3h1q1lEJQ2IZSGYuFEMOBQ1LKG9YUrqRUJkVQOD8AVIxHztKlSxFCMHHiRKMbnkJDQ5k4cWKBWYCDgwO5ubns3LmTIUOGWE22ykhcXBw//fQTDRo0oGvXrri4uBhdMluyZAkODg5MmzbNkPSnLMTEQFZWwTIXF2jUqMxDKxQlplTGYuAbtA1gF4Cv0Xb2djDVvqKOymQsllLKNWvWyKZNm0ohhPT397e6oVhKKZ2cnCQgMzIyjNb7+/sbNRB7eXnJiIgIq8tXWQkLC5OA7Natm1y7dq309/cv8P+WZ1jPzs4u87UyM6W8csX4kZZW5uEVihKDGWOxuQxlT+m1SADwgP74PyFEU+CYlFKFjAZiYmIMNoGKWA6SUjJlyhQyMzMNs4Hw8HAef/xxOnXqxM6dO03aKFJSUmjfvr3VZawsZGVlaT9yJydDEDlvb29SU1OZMGECGRmaySsyMpJJkyYxdOhQAgMD+e233zhw4ABdu3alT58+pbp2IR+CAty5A66upRpWobAKluwsvgqcAH4DfgduAG7WFavqkJBQsRuhhRB8/PHHfP755wXCRsTExBAXF8fo0aNNRs60B0+h/EyfPh0XFxcWLVrEhg0buNAvfRIAACAASURBVH79On/99Rc6nc6gBPLQ6XRERETwwQcf8NNPP/HKK6+UKcREvlU5o3XmFIVCUdGY8xp6A7gfLZzEOeAI8BkwSUqZY6qfvTF79mwaN26MLWMgdezYkaioKDw9PRkxYgQ5OTmGBOx5uLm58fLLL5OYmIiPj4/NZK1IHBwccHJy4pdffuHNN98ENEO+qXSfeTOpbt26MW3aNB588MFSXTc7W/MUMsetW9qsQEW7VlQGzBmLzwKpwHbgEHBUSnnHaOMKpDIZi21BdnY2kZGRuLm50bhx4yL1N2/eJDU1lZ9++om33nrLsOO5devW7Nmzh48++ohp06bZQHLbYMxwLoQwGpK7UaNGHDhwgBYtWpTpmrdugSU5gGrWBDvRyYpKgDljsbnoo22AQcBxoB/wrRAiTAjxhRDiOatIqiiW+Ph4WrZsaTRYGmj5CPz9/Xnuuee4evUqubm5XL16lb59+9KyZUs8PT0rWGLbMmfOnAJKADQ7S+ForG5ubsTFxdGjR+GUGSUjJweMRPQwirnlI4WiIjE7MZVSJkopdwD/Al4HNgH9gf9UgGxVgvXr1+Pm5sa4ceMq5HpSSpo1a1ZgvT89PZ0pU6bwj3/8w2S/N954gwsXLjBhwoSKELPSYMpwLqXEy8sL0JaLPvjgA9q0aUOrVq1ISUnh4sWLxMXFlfh6SUnaRjJLyMrSlpEUCltjzkbwGJqnUC+gPXAaOAjMRFsqUgBhYWGkp6ezZs0ao1mvyhs/Pz8uX75coMzBwYHPP/8cJycn6tevz61bt3jzzTdp2LCh1eWpzCxatAgXFxfSjSzYN2rUiLi4ODp06MAff/wBwOTJkwFYs2YN48aNIygoiLVr15bomrm5xbfJT1oa6PWRQmEzzGUoexbtwf8qEC6lzKwQiaoYY8aM4aOPPjKaA7eiqFGjBp999hlubm4sXLiQS5cuMX36dJvJU1k4efIk6enpODs7k5l59+fr7u7OvHnzSEtLo0GDovmVatWqRfPmzcvdAeDXX/dy7doVHnhgAP7+mh0iPV0pAoXtsSQM9RAp5a5CZZOllMutKpkJ7N1YXBzr1q0jMTGRcePGUbNmTUP5hg0bmD9/PiNHjuTtt9+2oYQVx6lTp4iNjeXixYu8+uqrhgf/+++/b7Wd3+YMxS++OJKdOzfxySfrGTbsGUDzGrIzr16FjTBnLDY3I8hjrhAiQ0r5k36wV9HsBDZRBPZOeHg4Y8eOpXv37oZYQvkZPXq00X7JycmcO3eO2NhYa4tYaejUqROdOnUC4B//+AcRERH88MMP1KlTp0jb8+fPM2TIENq2bcuOHTusIs8DDwzA07Mm/v4tDWW5uZry8PYGp0J/jUlJmqLw8AA7zDSqqEAs8WJ+DFgohHhQCBEM9AAet65YVYfDhw+zfPlyfv/99wq53p07dzhz5kwBI2hoaCgNGzbEwcGBpk2bGk1FOWLECM6cOcPChQsrRM7KhqOjI2FhYbz22mt888035OTk8OOPP7J7925A21B2+fJlrl27ZlU5zp+P4Ny5PwqUJSdDdDRcv649/LOyNOWQmAg3b2oRTBUKa1LsjEBKeVNvON4LhANPyeLWk+yIjRs38vHHHwMY9U0vb3r06EFERAQuLi5A0cB3165dY8KECeTm5jJ27FhDPx8fH7vZSJbHtm3biIqKYtiwYfj7+9OpUydmzZpF9+7dyc7OZuDAgdSoUYPMzEzatm3LhQsXcHR05OjRozz77LN069bNELa6PIiPj+X334/Sr5/xoH/p6cY3oiUlgacnGIkvqFCUC+Y2lCWjBSvLwxnI1pdJKWVNox2tTGWzEWzatImRI0cCFaMICmMqFHbTpk1N7qC1FwYPHszu3bvZuXMn9957L08++SQ5OTkcPXoUKSUPPfQQrq6ufP/99wX2FRw4cIA+ffrQu3dvDhw4UKJrmrMRnDp1nLi4a7Rvfy9+fgElGtfFRVs6ys3VjMtOTtqyUeHlJIXCFGXKWVzZqGyKALRgbk5OTri4uBTZqGRtHBwcjCogIQS5+XwZL168yIoVKwgICODFF1+sSBFtxrJlyzh9+jQvvvgiLVq0wM3NDSEE6enpRsN355GamkpkZCSenp4ljs9kThH8/e99CQvbz/r1++jZs2+JxjWGuzuo1MoKSynVzmJ91FFzgwohhF8xbQYLIc4JIS4KIV4z0WakEOJPIcRpIcQ6c+NVVjw9PXF1da0QJRAeHm5Y5wbTgeQKl8fExLBkyRI2btxodRkrC1OmTGHp0qW0a9fOkKBGSknz5s2L2FHOnz/PjBkzWLFiBR4eHrRr167cg/R5e9emTp36uLiUT+jRtDTLN68pFOYwZyz+txBisxBinBCivRCivhCiqRBigBDiHbQ9Bm1NdRZCOAJLgSFAO2CUEKJdoTat0HYs95JStgeqnPP7zZs3iY6OLpK72FqcPHmSd999l++//x6A4ODgIklWjKWibNGiBe+++67dzAbyk2dHSUhIQEpJdHQ0kyZNIjQ01BCP/cqVK3z00Uds3rzZanLMnLmA556bRnx8TLmMJ2Xxwe0UCkswuzSkf3AHoe0uboSWv/gMsBP4Rkpp8mcohLgfmC+l/Jv+/HUAKeWifG3eA85LKS0OWVHZlobGjx9v2FGckpKCh4eHVa938uRJdu3aRYcOHXj00UcB7UE3a9Ys4uLiqFGjBl999ZVdpKIsjtjYWLKysujTp4/RUBNOTk7k5uZy4cIFHBwc+Pbbb2nSpAl9+/ZlyZIl1KpVi9dff71E1zS3NLRt23qmTRvNo4/+nU8/3VCar1QEFbhOYSk2sREIIZ4CBkspX9CfjwV6SClfytfmO+A8mqJxRFMcP5gbt7IpgmnTpvHJJ58A2uzAmI96RZCUlIS3tzeghaGwthtkVaBnz54cPXrUZLTRPP7880/atr07ub148SKtWrWiefPmXLp0qUTXNKcIzp79g+3b19O27T08+ujfSzSuKWrUgMaNtfwGjo6aUVntOVAYo6wbyqyJE9AKLbqpH7BfCNFRSlnAc1oIMQktVWalS67y8ccf069fP3Jycqw+GzBHzZo1uXDhAq1atTJqq8jIyCAsLAyg1HH2qxoNGzakSZMmZGdnGw0g16RJEy5fvoxTIdebevXqsXjx4nJX6h9++C+uX49h1Kj/K7cxs7K03Mh5weuEADc3ZURWlAxrKoIYoEm+cz99WX6i0fIcZAFXhBDn0RTDsfyNpJQrgZWgzQisJnEpeeKJJyrsWlevXiUmJgZ/f3/8/Ara6lu2bElubi5ZhTOmA4mJifTp04cGDRpw/fr1ihLXpnz33XdA0b0WoNlRFi1aZFACcXFxnDlzhsaNG9OmTRtmz55d7vKcOXOSa9eukJNTviFH80cwlVKbHWRlqX0HCsuxZn6kY0ArIUQzIYQz8AywrVCb79BmAwgh6gKBwGUUJlm1ahW9e/fmyy+/LFIXGhpKs2bNcHV1JSAgoIBnjLu7O7169aJnz54VKW6lICgoiJUrV+Lv748QAn9/f1auXFnAjrJ3714eeuihIkb28uSzz/7Lu+9+SWqqBVlryojKdaAoCcUqAiHEFiHEI0KIEikNKWU28BKwG83A/F8p5WkhxNv6ncro624JIf4EfgZmSSlvlewr2JYpU6YghGDSpEkkJSVZ/Xp+fn488MAD+Pv7FygPDQ1lwoQJREZGIqU0JGTPUwbe3t78+uuvhrdkeyMoKKhAop6goCAWL17ME088wfHjx6lfvz79+vWjbdu25OTkcODAAfbv31+uMjg6OjJ79gRmzbJ+XielCBQlwZLoowOB54CeaIlpvpJSnqsA2YxS2YzFgwYNYu/evQCcOXOGNm3a2EQOUzuM/f39uXr1asULVAl49NFHiYqKYuvWrTRr1qxI/fDhw9m6dSvffvstw4cPN5TrdDo8PDxwdXUtkt2sOPIbi3U6uHpV2w3cqhVcv36J//u/4TRv3oZlyzaV5asVixBaVFNlOFbkUSZjsZRyL7BXCOENjNJ/vgZ8AazVr+/bLStWrGDy5Ml4eHjYNA2kqUxcpsrtgXPnznHx4kWjNhOAWbNmMX78eO67774C5c7OzvTq1QtX17Jt/IqM1OIEAZw6BXv3bmTIkJFMnvxqmca1BCkhIwPK+BUUdoJF7qNCiDrAGGAsEAuEAr2BjlLKftYUsDDWmBGEhoYyZ84cQ6L34ODgKueHb8mMwM/Pj5s3b3Ljxo0CuQqqK+fPnyctLY02bdoYgvRZm7wZQWYmnDhRsO7ZZz3IyNBx+nQK7u7W9zBzctIOHx9wdrb65RSVnFKFmMjX+VvgAOAODJNSPial3CilfBmo8pnQ8zxKTK2tVzYmTZqEj49PkVARluwwTk9PJyMjg4yMjAqR1dYEBgZyzz33WKQEPvzwQ9zd3ZkzZ065XDshoWjZ44+/wRNPvElOTsU8lbOztZ3HiYkVcjlFFcYSA/AnUsp2UspFUsoCztimtEtVYs6cOUXCQ+h0OosfCEuXLmXmzJlERESYXIIoT5KSkrh9+3aBgHJgmWfMpUuX0Ol01K1b1+pyVgXCw8NZtWoVJ0+eJCMjg7S0NHJycspl7Js3i5Y9+ug/+fXXtQwa1KpcrmEp6emavUKhMIUlxuInjRTfAf6QUt6wilRmKO+lIUujd5qic+fOnDx5EtDCF/fu3bvcZDNGWloaaWlpuLu7l3kNu7qzYMECdDodr7/+Ol5GEgPPnj2b9957j0WLFvHPf/6TjIwMHB0dDe63CQkJxMTEUKtWLYuvefkynD4NqalF63JzcwkKcgTgxIlcateuOEuuoyPUqqXyI9szZVoaAiYA/0GLORSEZiSeDRzUh42o0lgavdMUFR3Ezc3NDR8fH6UELODjjz9m0aJFJj1/unfvzrPPPkuHDh1wcnIyeAqBFopap9MVSHpvCTdumFICOVy5Es7Mmd+xbFksFy9qxtyKIidHs1+kpFTcNRVVB0tmBHuAsVLKeP15A2A1mgfRfillB6tLmY/ynhGY2nVaeFmlOjB37lzOnj3LokWLaNmyZfEdqjgff/wxKSkpzJgxo4j9pDju3LmDo6MjHh4eJQovfuSI5jJaGJ0uiQkTvHFx8SAkRHsa+/hAYGCJxCoznp6gVgbtk7LOCPzylICeG0ATKWUiUOVdR/PW1vNwdnau1ErgrbfeYvz48Zw/f77EfX/88Ue++eYbbtyo8BU9mzBt2jTmzJljkRJYs2YNzzzzjCFxvbe3N56enuWaY6JZs64EBNxrOL99W3tTr0hU2GqFMSxRBPuEEDuEEOOFEOOBrfoyD6BapNUOCgoiKSmJmzdvkpycXCIlEB4ezrFjx0q8hFBadu3axerVq7l1q+QbsOfPn8/GjRsJrOjX0EpKZmYmCQkJ3L59mxMnTrBx48ZSKVhLcHevycKFx+nQYSBffDGJpKQEpNSUQXFIKfn1170kJhqxQJeQ7GwtDpFCkR9Lgs69CDyJtm8AtGWhzfoE9v2tJVhFY8yYaAnDhg0jLi4Of39/QkJC6NevX/kKVoh58+YRHx9fqqWdhx9+2AoSVV4OHTqEEIIePXrg4FD0nWft2rVMmDCB5557jpdffpn77ruPe+/V3thff/11rly5wr///W+aNGlSpG9pOXx4PbGx5xg69BVq1qzHrVvFL9Xs2fMdkyc/SWBge3bvjiizDOnpKiCdoiBmFYE+y9heKWV/wHqpm6ow99xzD3FxcURGRpJgzHm8nBkyZIjVr1Fd6NevH1lZWWRkZOBsZEeVl5cXderUwc3NjXvvvdegBAB27tzJqVOneO2118pVETzxxFzS01Pw9tbiRP/1V/GRQvO815o1K5+ZXFqa8h5SFMSsIpBS5gghcoUQ3lLKOxUllC3I25k7duxYQ8YxS9i1axd//vkniYmJNoszZClHjhzh4sWL3H///bRo0cLW4lidHj16kJWVhaOjo9H6p59+mqefftpoXXBwMElJSeWW/yI+/jLz5j1Aw4atmD//gKFcSvjtN6hdW8s25uWl5RO4c0czOjs4QIsWvQgJ2UXt2uVj5dXptA1vtWtrO48VCkt+BinAH0KI/wEGxzgp5VSrSWUD8sIz/PCD2QRpRmnXrl3xjcqJ7777juzsbB555BHc3NxK1Pfzzz9n9erVhISE2IUiOHDgQPGN9Pz6669ERkbSq1cvAgICDGlAy4usrHTu3InHw6N2kbrcXM21M8/sI0TBpPRpaQ3p0mUwHh7aGn95PLxTU7VrqAQ2CrBMEWzRH9WasLAwtmzZQp8+fWwtilkmT55MfHw8cXFxJVYEvXr1Iicnh4CAAJNtqkPcpdKwbNky1q9fz9q1a83en9LSqFEgy5bFEhn5OydO7KB5827UqtXQaNvCHt1xcRd5660J1K0bwJQpX+PhoS0leXmBr2/pZdLpyk+xKKxHbq62fJidDdZKgmhJ9NGvhRBuQFNbhp+2Nt27d6d79+4l7tewYUPi4+N55513GDp0KF26dLGCdHcZNmwYiYmJJfaLBy1O0aRJk0zWF95TkRd3CaiWyiAiIoKJEycSGBhIr169EEIYwlX/8ssvREdH079/fxo3blzmazk6OlG7diNWrfoHx49v5ZVXvqV79+HFdwTOnz/EmTP7gf1MmfK1YcNaUhI0aFC2B3lKirbjWFH+ZGZqD28htCU+Ke9+zs29e56be/c8PV078v5PMzLuvhi4uNhQEQghhgFLAGegmRCiM/C2lPIx8z2rP1JK4uO1LRZz586lTp06VlcEX3zxhdXGNhd3qaopAp1Oh6+vL15eXiZDcWdmZnLkyBEyMjL4+uuvC+wSX7RoEbt372bnzp3logjyaNasGzk52Xh5Wb7eHxt7FoDOnYcWKM/Nhfj4ss0KUlLA21vlLShPUlM1t+DsMmQkLUvf0mDJu8R84D5gH4CU8nchRHMrymQTZs6cyZYtW5g/fz7jx4+3uF9CQgKbNm0iMjKSzp07W1HCspOVlYVOpzOEUyhMdcppkJ2dzV9//UW2mb+o1q1bc+jQIby9vYvU9evXDx8fHxo2NL58U1Li4s6zffu/8fVty6uv7ihR39atezNw4D/o3Lmox1h8vGZkTkrSlovc3MDdXYstZAnZ2RATA3XqaH0VZSM7Wws4aEF0/0qFJSEmjkgpewohfpNS3qsvOyWl7FQhEhbCWhnK8u8gtSRHgy2QUpKamoqzs7NRd8jiWLBgAXPnzuWNN94wmpu3OmU5k1IaorRaEm01OTkZKSUeHh4mvYwswVSIiYiInwgOfoh27foxd+7PpR7fEoSALl1KtlfAzU1bZlKUjYQE47GmygMXF2jUqPT9yxpi4rQQYjTgKIRoJYT4FDhUenEqJx999BEAo0ePtrEkpsnIyMDLy6vUSWU8PT3x8vIy+aCzJKdBVUEIgY+Pj8Uht4cPH463tzf79u2zijyNG7fmhRdWMGTIDKSU5OZaHlsiKyuDHTveZ8eO9y1qL6XxfAjmqKCN8dWa9HTrKQFrY4kieBloD2QA64EkYLo1hbIF06ZNQ0pZooQ0KSkpPPfcc4wZM4bTp08b7AXWIjMzEw8PD6PLOpYwffp0kpKSePvtt43WW5LToDqRnp7OwoULWbRoEW5ubnh5eRlmWpmZmSQlJZVbEh8fH18eemgSly6FMXq0A9u2vWdx37/+iiM09J+Ehv7T4j4l/Snm5Gg2B0XpsSRcSGWlWEUgpdRJKedIKbtLKbvpP6vQVWgGyZCQEEJDQ+nQoQMrVqyw6vVq1qxJSkpKqeIMWUpQUBBfffUVvr6+NG7cuMoqgdu3bzNu3DhmzJhhsk12djZz5sxhwYIF7Nixg6SkJB588EFAc9P19vZm7dq15SqXo6OT/tqWK5j1618HoG5dyze3ZWRou5ZLgopBVHp0uooNK17eWOI1FAj8EwjI315KOcCCvoOBjwFH4D9SysUm2o0AvgG6SynL3wBQDDk5Ofz00084OjrStWtXPD09LVon9vT0ZNWqVaxcuZI7d+7g4+NTAdJanxdffJHo6Giio6NJTEyskt8rOTmZNWvW4Ofnx4cffmi0jZubG6+//rrR/Rh5M6/yij5661Y0V66coHPnoTz55FwcHCy3Q3h51cHHx49nn/2sRNc8e1azFwQEWLb+n5WlrUMrSoZOd3czYFXFEmPxSWA5EA4YFjallOHF9HMEzgODgGjgGDBKSvlnoXZewPdo7qkvFacIrGEsTk5OLrDufvHixUq587asm73efPNNlixZQkZGBv7+/ib7jxs3jjVr1rB+/XqefPLJUhmmbU1KSgqbN2/Gzc2NkSNHVth1TRmLDx5cz2efjeb++59h6tT1FSYPaMqgbVvNu8gc3t5a2AlF8eTmap5aOl3F2VesaSy2xH00W0r5eSmuex9wUUp5WS/EBuBx4M9C7d4B3gVmleIa5cbAgQPZu3cvXl5elTK5e2hoKBMnTjRk2yrpZq/Q0FCDEiiu/+rVq0sUb6ky4unpWSI34LFjxxIVFUVISIhhU1l5kJOjuRTWrt2ILl0epVmz0u0ziY+/REaGDl/ftoblJUuRUpsd1K0Lfn5gSq+rpSHLyMjQjPEV7etvTSwxFm8XQkwRQjQSQvjkHRb08wWu5TuP1pcZEEJ0QUty873lIpc/Xl5e/O9//0NKSVJSksWxg5KSktiyZQs//fSTlSXUNnsVTrmYt9nL0v6FFZy5/qGhoQQEBODg4EBAQECJjOhViTNnznD8+HEOHjzI/v37y+0lIDkZPv0UJk6EyZMhPb0fs2Ztp0WL+/j3vx9j+/Z/l2i8efN6MXt2J5KSShfhNjdXS6N5/brpNspzqHh0Ou0eViclAJbNCPJeq/K/sUugTJvKhBAOwAfAsxa0nQRMAstzCVcEUVFRjBgxAoBmzZoxZswYkx455XGtkpSXpX9ZZx+VgTt37rBnzx5q167NwIEDTbYbNGgQMTExfPfdd3h7ext+XyEhIYSEhDB+/Hiee+45i66Zmwvh4drmrPXr4VA+J+slS2D0aPDxuc6JE9txcbE8RMiHH47gzp14HBwcy7zH5eZNaNLE+E7i7Oy7YQ8URUlK0jyDKuk2ozJhiddQMyOHJUogBsgfyN1PX5aHF9ABLdvZVaAnsE0IUWQNS0q5Uu+x1K1evXoWXLpi8PT05IknnqBGjRpcuXLFqvkITClASxVjSfqPHTu2TLOPykBkZCQjR4406zUE0LFjR7p27UrXrl3p16+fYR9FZGQkv/zyC1euXLHoelLCpEnw0kuwaRPs3689UIOD4ckntfrQUNi5czhTpnzPsGGvWvxdYmK0EBOLF5/Ex6ds4S4yM7UQ16ZQqSyNk5AAiYnVUwmAGUUghHg13+enC9UttGDsY0ArIUQzIYQz8AywLa9SSnlHSllXShkgpQwAjgCP2cJr6PTp07i4uCCEoG/fvuzZs8eifgEBAWzZsoWEhAQuXbrEggULrCZjWTd7BQcHF/GOMdY/NzfX5FtnZGRklVkiqlmzJiNGjGDQoEFm2+3atYvjx4/j5+dXoHzcuHH8/PPPPP/88xZdTwi45x7t85Ytmm2gVy9o3hyefhr69dsKxHHpkgvnzg0tka1g1qxtLFr0Gw0alI8Dg7n3lRs3zCsKeyQxsepuFLMUczOCZ/J9fr1Q3eDiBpZSZgMvAbuBM8B/pZSnhRBvCyEqVcC6jIwMQ87h/fv3Ex0dXaL+3t7eNG/enDp16lhDPEBbknn77bepVatWqTZ75fXPw1R/IYTZjFyTJk2qEsogICCAb775hg8++MBkm/x2EB8fH0aPHm0IutesWTP69etXopDUL78M//iH9lkIGJ4vuKiv7wWgP0Lk8NNPcO2a0SGM0qBBCwICOuPs7Gp5JzPcugWnThnfZ5CXR7lQ7EG7IztbWwpKSND+re6YdB8tFFvI8NnYeUViDfdRKSUZGRn88ccf6HQ62rRpQwMLHK9zc3PJycnBycmp3PzNzbFp0yZGjhzJU089xaZNm0rc/9atWyxatIiGDRvyz3+a3qVaOBx1Yapi7KHCmPqOK1asMBuquziOHIHVq7U4P/ffX7BOSsmKFWn88os7TZpcZ/HihhhJpWyUTz55hgsXjjB9+iZatCh5uHRj1KgBnTsbD1Dn6AiNG1sevK46oNNpaTxzcrR/K8syUE6O5tElBLRuXfpxShtrSJr4bOy8SiOEwNXVle7du9O3b1+LlADAvn37cHZ2xsfHh2nTprFq1SqrytmyZUtmzJjBI488Uqr+derUYcmSJWaVANwNNWGKyhaN1JiHU05ODunp6SajjxoLuQ0YlvcWLVpE7dq1S+U11adPUSUA2u+sd+/LwG2uXWvIihWWhXXYsOENDh/eyM2bkaSlJVssR3FkZUFsrPG6nByIi9NmDdU59ESezSQ2VlsWS07WFEJZlUB6ujabiI3VvIxu3NDuZ3y8Vn79+t266GiIitKOs2fhxAn44w9t1nb0KBw7Br//bnx/SnlhzmvoHiFEEiAAN/1n9OflM0et4uTm5uLk5MRff/3FJ598wogRIyxeUy4NhROsW4OEhASmTJlC48aN8ff3NxqNtDJ5bplKpnP27FkWLFhA7969jaasNKXMoqOjCQ0NZf78+YblwvL0mmrc2Id7713BqVOvsH+/M76+8JiZhVIpJdu2aRvyP/zwAj4+fqYbl4LYWG2jUt26FJmdZGdriiA5WfOEKkUupDIjpaaw8lxbc3K0z0LcTeqSl+zF0fFuWVaW9q+TU8Hy7Oy73lF55+Ut79mzZbezVLQrb7E7iysb1lgaOn78OIsXL8bFxYUuXbrQqVOnYo2M+blw4QI7d+6kVatWDB06tPgONkJKyfnz58nIyKBTJ+NRxC9cuEBgYCAtWrTgrbfe4oUXXiA9nyuJu7t7pQpEZyp0ds2aNUnSL+4a20VtLuQ2UOpw3KZ2Fv/88yqOHdtC377P0aPHCMLDgdHFEAAAIABJREFUNZdSb29tv4GpkNG5ubns2LGE7OwMnnxyrtlrlwUfHwgMNN/GyUnLZubpWfLxU1PvPsDd3LSHs5Ta27ejI7i6ag/mzExtWSYvu1cVezxx9ar5vRploXZt+NvfSt+/rDuLqz3Xrl1j8+bNAKxbt47JkyeXSBG0atWKadOmWUs8Azdv3uT27dvUrVuX2qWMBdCmTRtAi6/kYGSBukGDBmzYsAFXV1cef/xxgEqdw9jUm31SPgufsTf64ODgIjYCV1dXgoODGTt2bImuZQnR0RH89tv3tGvXH9DyBTRtqi0HHDoEffsa7+fg4MBjj1nualpaLPGKyUu6kpGhzSLy3qql1N7IXVw0ZZGdrb2550U0zVMCeZQ0GF5V4fZt6ykBa6NmBEBMTAyHDh3iypUrXL9+nV69ehk2ilUmikssYwkdO3ZECMGxY8dwqQYRxky92Ruj8Bt9/thNUkqEEOTm5pYpQY+pGUF09J/Ex1/C17ctbm41yc7OICKiCcuXa6kmX3gB/P3vZglLTdWWGJydNaPt2bPruHDhCL17B9GyZQ+Lvm9J6dZNJbIvLdnZ2pq+NZd01IzAyvj6+vL0008X37AQP//8M++++y733nsvDz30EN7e3nTvXj4eHcaoWbMmLVu2pH79+qUe448//ihR+5s3bxIWFkatWrV44IEHSn1da2Hszd4Uhd/og4KCCAoK4sUXX2TZsmWGQIPGxixrgh4/v3b4+bUjOzuTsWNdcHR0YtWqTDZsEMTEwFtvae08PbX1+NjYu7F/hJB4erqQnHyHtLQMdDpNYbi5abGDygudrvjAdIqi5OZCZGTVDtGhFEEZiImJYffu3URERLB48WL69u1rtQxXAFOnTmXq1KlWGx8gNjaWvXv30qRJE/r378+JEyd45JFHGDhwIP/73/+seu3SEBQURG5uLq+//jqxsbE0btyY9PR0ozkbTBm582JF5bnkBgUFcfnyZf71r38Bxm0MpcXJyZlatRri5OSCg0MWb77pzJ49cOaMtqyQkqIdea6CWVk6Ll92ITl5BDCC/fu1Xct5DBwIzz9fPmEhUlKUIigJKSnaMteNG1VbCYBSBIAWeOzYsWO0aNGC+vXrI4SgZcuWxfYbMGAAO3fuJCEhgdWrV5s0wFYlTp06xfjx43n44Yfp378/jRo1YvDgwXTpUrqomRVBnTp1iInRopfMmDGDhg0bMn78eHJy7qaDNPdGv2jRIpycnGje/G7klNGjRxMSEkKHDh3YunVrmWWMiPiR69cv0r79AD7/PM5Q7usLeaGMpNS8TW7d0oyydepAfPx1PvroX6SlPUtgoBYz6eZN7cETFQV792pePZ6emsE1L5R0p04lf6jb+yYyS8nIgMuXq9cObKUIgD179jB9+nTuv/9+Dh8+TNeuXbHEDtG4cWMaN9Ziv4wbN87aYpYLQ4YM4c8//2Tv3r20atWqSH3Dhg0JCgqiY8eOgGZT2LVrV0WLWSIy872O1apVi6CgIG7fvs0777xDQkJCsUbu1NRUowbxS5culZuMP//8JYcOrWfKlDU0alT0voP2Vl+rlnbk0aBBcxYtMp4l7fhx+PBDzde8MLVrw8KFBccqjuoeRqE8SEyES5c0Q3h1QikCoHXr1owdO5aAgABu3LhRJO5MZWHmzJl8//33LFmyhEcffbRUY8TGxhIVFUWqib/6zp07l3t6RmszfPhwpJTk5OQYMsu99NJLvPTSS8X2rahIqx06PISrqyeNGhXjo2mChISrxMVdoF69AIMi6dYN5s2DP/8EDw/N7fKvvyAiQgth8dFHMGaMZmy2ZA9AWpq23m3pbmd7Ijtbu6dWTktuM9R/OTB48GBWr15N69atyc7OZtu2bRbtJv39999ZunQpv/76a4XIee3aNc6dO2eRYdQU27Zt4+rVqxbnXABt/0FWFchaYkl60cKUNc+DpfTvP4GJE1fy/+2dd3gU1frHPye9kZBCpAeQRJqAIFXBqxFFbGC7IIQoKM3CvSqIoAgqgggqKFIERUh+IF5QQemKXhDkSu89RKqUQHoh2fP74+wkm2R3s0l2s5tkvs+zz+7OnJn57pmd857z1qZNOzJ37mBGj25NYuJem4/fvDmOyZPv47//XVhoe1SUymnUo4cKTBs4EMaOVSuCo0fhrbdURtTff7ftOhcvVj7ffUcjO1tF+lZVIQC6IMiHFqGamJiIlDJ/ZmhNGPzyyy+8+OKLvPfee/j6+tK2bVuHcpw5cyaHDh3i/nL4kEVERBAREWGx/GRmZibXr1/PV7dcunQJT09P6tWrZ7a9q8FgMLB3715GjRrFTz+VXO/IWp2Gjh070qBBg0IxCfbApUunOHNmP6mpJRe63bXrRwYPrsmKFe/QqlU04eElZ4CvWRNefx06dFBeRZmZ8NlnMGqUSpFtLZr2r7/UoFfVVB9lRWamWnG5YNFCu0IXBKj6tmPGjCk20y5pZtimTRtGjBhB9+7dycrKKhSB6wjUrl2b5s2bExQU5LBrLFiwgODg4Pw8/j4+PuTl5bn0imDBggXcfffdCCGoUaMGW7ZsYdq0aaxYsaLEY63VaThz5gxnz54lLS2t3ByTky+RlHSe3NwcBg36nClT9tC0accSj8vOTicjI5kOHfowbtxG7r57sE3Xi4iAV16BqVNVjIKvr8pps2IFrFxp/diMDMfmtXFVSKkG/pQUZQf43/9g796qLwRAtxEAMH78eIupp61Fk0ZHRxMdHY3BYODf//43HpUgGmfhwoXs2LGDwYMHm81b5O7uTmBgIAHGPAI1atTgxo0bLv3bDh48mO+2m5GRkZ9ue9WqVcTHx1vV9VuLGejYsSPe3t42JyG0hpkz+3Lo0CbGjdtIq1bRNh/XsePjzJ9/rczZbYWA6GiVCO/PP1U6ixUr1GrBSrZxLl9Wnki1alV9m0F2tjICX7hQ+d1AywrXfborEF5eXgghzBZksSXBmpubW7GiL47AtGnTuHTpEi+//HKZDdpr1qxh2bJldOvWzawgGD58OMO1pPqojJmuLASA/JQg27ZtY/r06Vy6dAlQCfRKMvxq2x2dRiMgIISaNWvj5VW6/4m7uwf+/qVw/bEAT0/o2lWpOX7+GcaNg2bNlOtqnTrmj0lIUIFSdesqN1dnlrDUHk0tF5GWaE5LOufhoX6jEEr1lZWl3n181HY3NxWgl51dUIUtN1cJgCImIpeDwaBiFq5cUckB27e3/zX0FBNGmMtPX1KCtaSkJNLS0ggODqZGjRp251QUrVu3Zv/+/ezZs4c2WjmsUmL16tWcOnWK++67j6iSsoxVMoSFhZkNJKvI+gmWUkyYYv/+jRw69Cu33tqDFi0sJBkqgm3bljF79kA6dnycF18se2GgjAzlcnrwoBpcQ0NVVHNJNZX8/CA8XA1EZZkXaIOzu3tBGg1QA7OWIVRrl5KieGZnF9QGcPXBWoOU6v6fPKlWVenpBQJUqyng7l7w2zQBpSXYu3pVvfz9lQBITi6IMAe1svvtt7Jx01NM2ICyzAynTp3KBx98wOuvv86pU6fw9/fnq6++chjH1157jYsXL5bLcFuW7KiDBw/m3LlzxMXFERYWVuZrOxLx8fFmhQCUPVncokWL2L59O4MHD7ZrQN2hQ5v4/vv38fT0KVEQ7NjxA//733Ly8nK5cSObGzfKZ4fy81OrgZQUmD4djh1TXkYdOijvI0u3V7MbXLigPJW0gSo3t2BWbpq6SsskmpenBrYLFwpm9Z6eavA3GNSAKIRSQ+XkVG59fFYWzJljPq6jtDD17tYytoaHg5nQH7tAFwQm0HLP2IrAwEAaNGhAQEAA3377LSEhIQ5kVzFBax9//DErVqzgX//6V37ivU2bNpGQkEBycrJLCoJly5bx0ksvWdxf1voJa9euZcmSJXTp0sWugqBVq3ttEgIAp0/vZvPmxTz66Bt8/XUGHh7mvb1Ki8BA5UU0ZYqavf78sxqIR4ywfpzmSmkO3t7qlZVlXdd+40bhWa6UKjq6MiMjA957T6nTfH1Vdtm6dQtSdhsMKoEgKOHo7a1WBnl5aru2ygoOVsJYU38FBam2QpQ/6Zw16IIAGDNmDFu2bGHSpEl4enoSFxdHx44deeaZZ6weN3bsWMaOHUtOTg5RUVH4+Lh+vZ5Tp05x/PhxmjRpYjay+NixY2zZsoV+/frlb5s7dy55eXnUrl27IqnajI8//phr165Z3F/WZHExMTF06dKF2283u5ouFT766DGuXElk5Mhvadnyblq2vNum4zp0eIzw8CY0aHBrqe0LJSEgAN59F3bvhg8/VPmOyoPs7Mo9oy8rpIS5c5UQCA+H0aOVTaU8cKBjoFnoggA4dOgQv//+O8nJySQnJzN79myuX79eoiDQ4OXlxVNPPeVYkqiZuYeHB127di1T8BQor6F3332XCRMm8PbbbxfbP2rUKPr165efiRMoVW0GZ+DJJ5/kwIEDZt08Q0NDy2z4feCBB0p9jL+/+e1nzhzg4sXj5OWVzg03IqI1ERGOy2ElhKpb7OenjJFXr5ZsL9ChoGUdXbNGuZr6+sKYMZaN764MhwoCIURPYAbgDsyXUk4psv8V4DkgF7gMDJJS2pZc3o6YOnUqo0aNokWLFiQlJTFz5kyXTCDXs2dPcnJyyMzMLLMgiIqKokePHjRq1Mjs/iZNmhRKvlYZ8Morr3DTTTeZNfbPmDGjQrnUqqUGVynVu6enUoO89toPZGWlExYWQUZGMufPH8Xb248GDVrZdN6LF0+wdOlYatVqRP/+U+3K2c1N6f337FE1EO64w66nr3L4+2/lgrtzZ4EuXwgYPrxyCgFwoCAQQrgDs4AewFngTyHESinlIZNmu4HbpZQZQojhwFTgn47iZAnNmjXLr9wVGhpqVmViDm+99RYrV65k4sSJpKamkpuby7NaKkk7Q0pJ9+7dyczMtBgVbAsGDBjAgAEDSnXM+vXrOXHiBA888ACNGzcu87UdCUe4gZ4/f54DBw5Qu3ZtmycGnp5Kl5uUBC1aQI0aSv/t5tY8P1r34MFfmDr1Qdq06cmYMdYT+h07tpVr187j7u7J9u3fEhHhmOj1W25RguDoUV0QWMKNG0oArFpVEHkdEqJyPt17r/W4DFeHI1cEHYETUspTAEKIpcCjQL4gkFJuMmn/B1C6EcrJSExMZN++fSQnJ/Pss88ipSQ2NtZsCcjyQghRIfUAvvnmGxITE3nyySfzB/3Zs2fz/fffs3z5cpcUBMeOHcPPz4+nn37arv7/P/74I0OHDmXw4MHMnz/f5uPCw5WqRfMorlEDmjdXg+yNGxAYGE6TJrdTu3Ykn302gP371zNq1Kr8ymOnT+/h8uXTdOjQm7VrZ7Jt2zcMGjSbl1/+hho1HKO3Mc6DOHrUIad3SVy7doE5c57By8uXV1/93mK7vDyVq+m771QuJiGgWzfo06fyrgCKwpGCoB5wxuT7WcBajb3BgFPyHc+fP5+rV68SGxtL7dq1+e9//8tff/3F448/bjVQbNKkSbz66qs0aNCAmJgY3NzcMBgMDhEE9oZWmrEoFixYwIYNG2jbtm3+oN+zZ0/q1KljUZ3kTBgMBpo1a4aUktzc3DKrzMyhcePG3HvvvfmrRVsRFFTc2Ldw4SSys29w112vc/PNtzNp0p8ATJ/em5SUy1y9epamTTuRkZHC+PGdCQgIpX37h2natBN5eblERLQhKqqLvX5aMTRpojxXzpxRK4M2bZwbQFYRSEjYyb596622ycqCadNU3AWogX/oULWCqkpwWECZEOIJoKeU8jnj9xigk5SyWG5gIcQA4EXgLillMb8DIcQQYAhAw4YN29tao9ZWtGnThn379uUHajVt2pSTJ09y5MgRbqlid3zZsmXExMTw2GOPsWTJkmL758+fz5EjRxg6dKjNKjJnIisri9atW5OXl2fX+gFlxdWr5l0hW7cOIjU1hT/+uE5CgpISeXm5XLhwDH//YIKCwnFzcycp6Rxxca+RkLCTyZN34eMTUGHcp09XNQ4AOnWCkSOrtjD4/PNYNm9eRHT0EJ57bm7+dimVreTwYdUfCQlKsPfrp9Rmzgq0r6w1i88Bplqz+sZthSCEuBcYhwUhACClnAfMAxVZbG+igwYN4ty5c/k5ZXr16sXly5ftOrssLxITE2nWrBlNmzYtdd1hU3h4eJCTk2MxQd5zzz1X5nM7Az4+Phw7dszZNErEiBFjyczMIDjYl6wsFWB19uxBxoxpS+PG7Xn/fTUCh4TU4+WXlYA+cmQzBw78QnT0EAICQvjjj2WAoFs3x2hQhw+H9etVUrrt22HDBrjvPodcyiXQpMntpKdfo3v3WM6dU7/3wgUVEXyhoIgcYWEqCM9FvaftAkcKgj+BSCFEY5QA6As8bdpACHEbMBe1crjkQC5WMXLkyELfO3XqxLhx44iKirJqdFy4cCEnTpwgJiaG2rVrc+PGDUJCQhyiGtKym+aUMyvWI488QlZWVqkMzmlpaVy7do2AgACCg4PLdf3KCNOCN2XFsGGv53+uWTOVPn2iuHbtIp6ePvj5mXca/+GHyezZs4ZatRrRvv0jfP75QHx9Ax0mCPz8VHRx7dowYwbExSmj9x13VD5DqJTqVfRR1MqBurlBZORLpKa+xKJFKqjOFDVrqtxMdeuqqOuqXsvZYYJASpkrhHgRWIdyH/1SSnlQCPEOsENKuRL4EAgAvjXqq/+SUj7iKE62oGjOIWsVq5YuXcq6deu444476N69O5cuXeLixYt2yVZZFFFRUaSnp5NrLZm8DfDw8LCaRO7IkSOAciPVhMW0adOYOHEi48ePZ+LEieW6fmVCQkICzZs3p169enZVO/n7+3Lt2kWEEHz00VFWrHiHJUvG0K/fFK5c+ctY3N6LLl36smfPGubMeYZ3393OnXcOqBBVUefOqsrZzz/DDz8oL5neveHhh1USN0cjN1e5aF69qnT0Z8+CsSQ1SUmqZoK3t/Lbz8xUqpoaNdTg7e6u0mecO6f21amjVCru7qp628WLBUnnTOHhYaB7dzfat1exIDff7DwVkDPg0J8qpVwNrC6ybbzJ53sdeX1bceDAAdzc3IiKimLcuHEW6xIUFQTPPPMMd955J1FRUYSEhJCXl4fBYHAIRyEEfrbUGywnevXqRUJCAidOnMgPKgsNDaVevXoVcv3SYteuXfTt25fOnTuzaNEiu57bz8+P7Oxsi2U9bYUqlvMnnp6etGrVDg8PD7ZvP4+3tz/btl1i06YFhIVF0K/fFCZO7EZS0jk+/vg43bsPZO3aGZw5cwBf30BeeGGxnX5ZyRg8WAmErVvh118L3CbbtYPYWDW42gKDAbZsgU2b1MDu7q7y5YSGFhSB9/dXXlVpaXDihMp/VFL5i4wMMA0mv3zZfLuzZ9XLFP7+IITE2zsPN7cNXL78GUOGDKZbt8ds+1FVENVI5lnGnXfeSXJyMklJSVYrVhVF37598z8fLm98fgXh9OnTjBo1irp165oNtrr55pvx9PQsNOi/9NJLVnP5OBNJSUkcP37cIXWmw8PDSU9PL3eK8ezsLB57rDNeXt4cPZplPLfyO+zQwZuBAz8hLCyC3NwcPDy88PDwIjRU6WLef39n+X5EGSEEtGqlXt26wdKlcPy4sh0cOaJ859PS1Ow7J0e1v/lm5Tp79qzSsSclqYCronL04sXi19u1q/D3WrXUuXx81HtEhJqh+/tDo0ZKUGRlKXXWjRuKR3KyEjw1aij1lp8fnD+v9uXmqhVDeLhS85w8uZM33+wAwKOPvkHDhjcXJ1WNoAsCVPH6lJQUvL29adiwIea8ksqauMxe2L17N1OmTKF9+/aMHj26zOfJyMjgP//5D82bNze7vyJiFeyJrl27cvjwYYfUTLDXKkxKSZs2HfH09Cy0/aOPxrN79x8MG/Ymt97andxcWLXqONnZ2Xh5eeSrJrTc+8nJyWRnZxEaWivfDqXl4M/OVoMgqHctM2hOjhowMzLKXnSleXOVqvrqVZg9W7lS/vxz8XYnTpg/vlYtePxxFauQkaEESlqa4t24sZrZnzypBur69VUgXml18pYMuZaC5DMzUwgMDCcysjN9+75fuotZgZSS8+eP4ucXRHBw5Qky0OsRFEFp6hLs3buXrKwsWrVqhb+lJDPGc5Y34nXlypU8+uijPPTQQ6xatap0P8oEqamprFu3juDgYKKjba+UpaMwTO+plnU2KSmJevUa8uqrk+jd2/r9nTFjIp98MgGABQt+5J57Hizxmm3aBJOScp3du69Ss2bpM91KqWbnf/+tZsllSRBnMKiaC+npanYeGKhm7dnZquhNSopKuFa3rhIAvr6qjauG1hgMebi52c87cP36z/nqqxfo2PFx/v3v/9jtvKDUaeVJ+6XXIygFSpOqYNCgQezatYsdO3YwY8YMjh8/TlxcXKGEbaUxPltD+/btWbp0abkN0TVq1OCJJ54o1TG//fYbI0eO5I477mDWrFnlun5lQnx8PMOGDSMtLY369eszZcoU+vfvX+yemtZBOHs2kbFj1f21Jgw2bVKms5dfHo+Pjy/ffRdH69YduPlmy3ErISG18PT0LHP9aC3vv5YaOTdXJZpLTi4oBFMS3NyUN405tGxZJlpOxY0b2Vy6dAoh3Khfv0W5z1e7dj0iI29DyutERSmbiBaL4eZW/LOWk0qDm5t6afNz7XvReg/2hr4iKCPi4+MZOnQo6enp1K1bF3d3d86cOcPu3btp27YgH0yjRo3MqpoqsmqWrTAYDDRu3Bhvb2+OHj2aH3m8du1aHnjgAXr06MH69dYjMSsav/zyC2vWrCE6OpqePXva7bzWVobjxo0ze09NUa9eBFu2nLa4f+PGVaSmJtOt233MmDGBuLjZALRq1Y4pU+bTsmXxMqKORFqa8hSqbti3bz2TJ99Pq1bRjBu3sVznathQrYQcBW/v8qW0sLYicNEFW8UhNTWVhg0bFhq8QRU+b926NaNGjSp2jDZIaN4k58+f5/Lly7z99tvFonEtDRhlrZpVXuTl5bFo0SIWLFhQbF92djZ//fUXiYmJhdJPdOnShZ07d/LFF19UJFWbsHXrVqZNm8bmzZvtel5L3mOxsbElCgGA8+cL7u/Zs4m0b1+L3r0LMqzce+/D9OkzgLCwcNq168ott9wKQGpqMpGRFT+1DggoKJxSHTBt2qNMmHAnmZmp1K3bjNDQstsAPT2VAdtUCCQlXeHPP7eQmOj8aHdbUC0FQXx8PI0aNcLNzY0WLVpw5swZzp0rHPT822+/sX//fqZNm0ajRo2Ijy+oE2tukMjKymLhwoWFbAXx8fFm8/lA6Y3PBw8eJC4ujt27d5fquKLQEuM9//zzaKtBrT/8/f2pV68e779f2HgWFBREu3btiIiIKNe1HYHo6Gg++OAD7rdz6SZLgjovL8/iPTVF3boF9zcnJ5ukpCskJyflb0tNTWHmzHdYvnwRffoMYO3afezbl8zs2SvKlV32/PkzzJs3rUzHOjpW8OTJHeza9ZNjL2IDsrLS2b9/A8eP/0HLlnczffphhg37slTnCApShuhbb1XF5GvXhitXLnHo0B6ys7P56qsZPPVUN5Yv/9pBv8K+qFY2gvj4eEaOHFlEp3sWX19fxo0bV6jd559/nv+9qF7fVhfTcePGYU71JoQoddWs1atXM3r0aF599VVuu63sagMPDw9iY2Px9PTEYDCwdOnSQiqQc+fOMX78eGrXrm3XTJ6OgD2M8JZgyXsMMHtPTeHr68drrxXc34iIm/nzz78LHffrr6v5+GNVGOjxx1UJ0ho1Amne3HK669dff46jR/fz4YdfERlZXJ+dnZ3NE0905cKFs9St25CHHipdsaTgYGVIdhT++msva9bM4KabmlCvnnmvtYqAj48/s2ad48SJ7QQElM7oHhqqPJvMeRRv2PADY8cOoXfvAdxzz4O0adORsDD7B5c6AtVmRaCpc8wVOM/MzOSTTz7J/z5u3DgyMzMLtdGCysDybD4oKKiQ3t+SwJBSEhMTU2ylYQ3NmjWjf//+tG/f3qb21rBw4UK++OIL3N3drQbQabh+/Trjx48vtlJwJExXbeb6SbufiYmJSCnzhbWt/VkSJk2aVCbX0ZCQUN5/fx69e/cnOfkaUkrc3d0JCwunVq2CQWHduu8ACA0Nt/ncJ04cYu/e/5GScr3Yvq++msHff5/jxRff4p57HqRz53+UmntgoDJugjKiJibuLfU5rOHo0d85c2Y/27Yts+t5y4KAgGDatrXNpiSEGvxvu00Fw1kKK3F3d6dx4yhatGjLww/35fvvtzNw4At2ZO04VBtjsSWjrSkiIiKYNGkSMTExFmfyBoOB+Ph4Bg8eTLaJm4WWgnrDhg3ce++9Nl/Tz8+P2NhYVq9e7ZCZbUlwc3Oz+lsBLl68SJ06dQgMDCQ4ONjhPK0ZagGrxlp7GuHj4+OJjY0lT6tCYgPq149g82Z1/YED7yc5OYlp077m8OG9dOjQjTp1VODbd9/FsXHjSh59tD/33feoTec+dGgv2dmZREa2JCCgRv72gwd389BD7QgKCmb79gt4eXnZpL4yh8xMFS8wadK/SEjYySuvfEdgYFiZzqVBSkle3g1OndrJsWO/07nzU/j41CAgoOLzVplLv/7ee9GcPr2bSZP+5KabCgeWeXtDQMA5IiMtFyHOzc3lm2/ms2rVUhYv3oCHh0eZ+98adGNxOREfH2+TgU+bVWp+4UWhrQT69+/PggULaNCgAUIIQkND86NPY2Nj82el7733XomBThkZGcyZM8dhM1tzSE5O5uLFi+Tm5lpc3ZhuDwoK4rHHHiMzM9Mqz5Jm8aaw1tbSKmXkyJH5qwBLsKcRvn///nz99dfFAsGs4dw5df3Ll//myJF9JCQc4+23X2TkyKcZOrR3frs+fQYwa9Yym4UAQIsWbbjtts6FhADvwBX6AAAbQUlEQVSAp6cXTz75LDExL+Dt7V3iIKQJ+NzcXI4fP1Ron68vhIVlsmXL1yQlnSUjo/jqQ8OxY1u5cOE4eXm5bNu2zKLKbNmyt4iJ8SYgIISHHnqNo0d/59//juR//1thy8+2K7ZuXcqYMW3ZsqXg/5aZmUJ6+jUyMy9z5sxmgoPziIpSqbg3bHiDXr0asX37f82eLzs7m4yMNObPn8727b+xbt2KQv2fk5NToirRFVDlBYE2u7QV2gBkTi2QlpaWP2BptoLFixeTmZlZyINoyJAhjBgxgtGjR9uUJK7oH0XzTomPjy80YDZs2JDFi8ufb+b222+nTp06JCQkWFSBmP5WX19fdu7cWcx/3VSFZIuqJj4+nrCwMIQQDBgwoFDbmJgYhBCEhYVZHOivXr1aTEAUhb0jwPv3709gKcJchRDExvbE29ubX389wVdfrWHy5C+oW7chd931gF25aYiKasnUqV/y6qvvAur/tHnzBt58c3ixbLU7dvzO8OGPc+nSBTp1qsPjj3fhhx/+j7S0VKSU+a9RoybRrt091K7dlA0bZvPTTx+RknKFtLRrzJnzLJs3x/Hlly/wyitRxMb6MXPmP9m8ufh/U0rJ4cO/AbB1q0qvvXPnD6SlXSUtTRnP09Ovs3z5O6SnX2fnzlXs2PFDsfP89dd+zpw5mP89N9d8LIXBYMBgMLB27UxWrHiv2P7Dh38lMXEvSUnKOcTLCyZN+o6NG6+wadMHjB7dncTEVYSEKJWQl5c3BoOBPXu2A8rIn5OTw/z5HzFhwsts2bKB224LJS0tlVmzvuXBBwvsMg8/3J5mzXy4cOFsMR5Fcf78GX755ad8LcPx44c4dari0qtXedWQLeqZohBCsHjx4mKGZW3fsGHD8o3Jls4vhCg0wJclEMjT0xMhRKGH2cvLiy+//LJcKpmuXbty6tQpfv31V3bu3Gn2d0JhdYylOseaCqmkeIn4+HieffbZMgdD2QLtvtlbXWVJfVYU3t7egKBFi7YsX7610MzQUkW40uDKlUssWTKPzMx0Ro+ebLXtAw+04ciRfXzxxUpatGjL9Olv8tRTg5kxYwLbtm3inXdmER8/h6NHC2pbhIXdxNKlvxUKasvNhejoZvz111EGD55DYuIeNm6cQ48eI8jKSuPw4V/p3ftNvv/+PQYNmk2tWo1YsGAYXbv2w88viMjILtSsWYeEhJ1ERnbJ78udO1chZR47dvxAdnY627f/h8DAWqSkXKZBg1uZOnVfPgdPT5g8uSc7d67jjTfiadSoMRMmPM3bby+jZcsOSKnSZ1y69DfDh99KnTqNOXr0T9zc3Pjyy0PUrh2FlGrQNxhSOXFiOw0aRNKwYUR+cB0oO8usWZN4441pNGlyC7//vpH77utNXl4ezZu3Zu7cD/n003eIjX2ZxYtnMWDAcOrVi2DChJeIjX2JN9/8qNA96NOnM/v2/cl//rOVZs1u5bvv4rjjjmgWLpxJQEBgvuAGmD17ClOnvsFTTw1i0qS5dOvWiIsXz/Hpp0tp3/4OfvzxG5o3b86AAb3K+vexqhoqNAuoDK/27dvL0kAIIYFSvSIiIqSUUkZERJT62Ip4afzKi7i4OOnn52f1WqGhoVbbaFys9XNF9qUjYIm7EEKGhoZKIYSMiIiQcXFxMjHxsty48YhMSJB2f23bdlYC0tfXTx45kiUTEqT8+ut1Mj7+Z3niRG6htm+/PVMOHvyKPHAgVbZu3UHWqVNfbtmSKFet2ikffPApuXfvNbl791W5fPlW2aFDt/zfNHnyF8WuO3bsNPnOO/Pl5s1Sfv31VRkZ2UV+8slJuWSJlPHxefL//s8gFy5Ml0uWSHn77Y9KQD7yyBgJSE9PH7loUYbcuFHKLVuk3LxZyjVrpFy5Usp27e6XgOzR41nZpEl7OX36Tnnrrd3l0KHvys8++1E+8cRguXXreXniRK6MiXlBhoSEyV27rsgBA4ZLQPbuPUAmJEi5fPlW+eSTz8rx4z+RgLz77l7y9dc/kHPnfi9PnTLII0cy5YYNh0rs38OHM+ThwxkyIUHKceOmS09PT/nii2/m7580aa4EZEhImPTx8ZUDBoyQCQlSHjmSKffsSSp2vp07L8uVK3fI3buvyrZtO0lADhkySgIyLOwmefJkXn7bDz/8SrZo0VbOmbNCJiRIOXr0ZBkSEib370/Jv250dK9y/Y9R6f/NjqvVdkVQdMauwTSvkK0zwYqGqSG3PCjLaskUpn1l7VyhoaFmVxz2hqOitUuTf8pgUPnyHYUZMyYihGDHjt8ZOnQ0b701goSEY3z55U/cfXfBbFEaVyBSSubP/4h58z5kw4ZDFnMUHTmyH3d3dxYt+oxGjSKJiXnBbDxDbi6cPq2Myp6e6uXurlIipKZCSkoq3377Jr17P098/Lt4eHgwc2a82WC1deu+IyHhOA8++CT16zcqtGI6e/Y099/fivDwuqxffxBPT0+ys7Px9vYmJyeHuLjPiYl5gVOnjvLEE12Jjn6Ejz5axKlTR8nOzsqPzP777/P885/dSUw8yaeffmOzS63BYKBt22BWrPiDpk2Vq2tGRjpnziRwyy2tuHJF1dEKC7Ps9SWlpFevtpw6dZQnn3yW06eP8847n7N69bd06XI3t93WGTc3Nw4f3oePjy+NG0cWWjnm5OTg5eXFlSuXmDjxZfr06cugQb0tXq8kWFsRVHlBYOkh1jx1EhMTcXd3Jy8vL99rSHu4yztQOgqhoaFcuXKlTMdqvvf2+F3Dhw/P93YKCQmpkMHeEiwNzPZCaWIWzp8ve6ZPW/Dmm8OJj59D//7DOH36ONeuXWXFim14e1uuGpOdnWV1P8DRowfo2fNWvLy8+fnno9SvH2Fv6jYjJSWZmJh7ef75UVYH77S0VJ577mGCg0OZNevbYtUBpZR06lSXxo2jeOCBJzh58gh9+z5nUwqPbds20aXL3Vb3x8XN5qmnBnHXXcVdUdPSUnnhhSc5eHA3v/+eyDffLCAysgVdutzN9u3/ZebMiYSF3cTKlUu4//4+zJlj3XjuSK+hKi8IoOyBR/Hx8RZdScsCLy+vcpea1M5TFjuBOaFoDX5+fvj6+loc4C2tqioC/v7++Pj4kJSUVOEutyUhKUll4XQUrl69zLfffkmPHo/SpMktdnNVlFKyadNqzp497RL+7waDwaayr5pnjreFrGxXrlwiMLAmAwfex/btvzFv3g/06FH+Qohjxw5lyZJ5dO78D5Ys2WSxXXp6Gv7+hSvLvfRSX3788Rv69RvCTz8t47HHBvLWWx9b/b26IDBBRSedGzFiBHPmzClxwNNWFZYQGhrKjBkz7DYbL4saxJYVjja4a6sjoFTCoyLh6FVAWZGeripmaYFHprUCdDgPO3duZfv23+jXbwjBwaHlPl9y8jXeemsEjz8ea3ZFYA0pKddZtuxLHnmkHwEBgfj5WU5jr0EXBCZwRvZRc6kpTOHn52d1oCw6YFmzW3h6etq0aiiLncAWm0dcXFyxgdWe6iQNmoePtlIr6//QFbO45uUpYaB5nWZnq6pclexR0+EgCFE49TQU/Des/Ud0QWACZ6ahNh0Qi9oVLA2U7u7ufP3114UG15IiZ60JHQ2OWBGUdE57Gs+LXqus9hh7Gc4djcxMuHTJNYSBh0dBplFfX/U5J0dFFOsoG9zdVSEeb2+1+pOS/FoDRV8loeh/xPR7eQr8VPvIYnuhf//+nD59Giklubm5SCk5ffo0/fv3NxuY5efnV0wIaOeZN28eERERCCGIiIjIXzH079+fK1euEBcXl5/ts6gO2M/Pr9RJ68B6/hxbzlmaYC1/f3+Lumtz1yprbh9nlxC1Fb6+cNNNzqvU5e6uBvzAQFVBLDxcvWrUUINXjRrKA0iHbXB3VzWRg4JUP9arpyq1CaH2eXio/vTwUN9Ni9KUhKKCQytO48j/jkP/lkKInkKIo0KIE0KIMWb2ewshvjHu3y6EaORIPo6EtcHdUvvTp09jMBjyhYm5/VJKFi9ebPN5beUIarUC2HxOWwdrPz8/5s6dm8/blmsV7b/Q0NAS0zGXVSA6Cz4+EFa+tD02Qwg1QNWqpVIkN2ig8uVrEbPmUNo6wdUNbm6qPKfWn+HhKmOrn5/rluK0FQ5TDQkh3IFjQA/gLPAn0E9KecikzQigtZRymBCiL9BHSvlPa+d1lQpl1RWW7CVFjcz2MOAW9fbq1auX05Lz2ROXLysbgj0ghJp1Fg3YDg9XA1RpICWcO6diBXQUwNtbpZ+u7IV7nGIjEEJ0ASZIKe83fn8DQEo52aTNOmObbUIID+AiUEtaIaULAteAI2sBVHXk5alawUUynZcJwcFKPaEJAq1Gbnk8Sm/cUHUJqrNA8PZW6jwPD7UKcEAy0QqHs4rX1wPOmHw/C3Sy1EZKmSuESAZCgULRUkKIIcAQqDw64aoOzZ6ho/Rwd1f2gowMJRBssXVrOmaDQeme3dzUIBUUpPbbU7/v6alUStXF00kIpbbT7CRubgV1GaoLKkWFMinlPGAeqBWBk+no0GEX+Pkpd8Dr19UArxkahVCz8Zwc9dnXF2rWrFg9tLd3gbBKS3OdOAgh1GAtZUGfaZ81oaWpy9zcVB9q293cCtJiSFlg8PX2rhoz/vLAkYLgHNDA5Ht94zZzbc4aVUNBgO7EpqPaQJt9uyJ8fNQrKEhFS2dmll0gaJ40WqZQDdpAbvrd21vp4z08CgZ+bcVjzftGi+csOpvXOFd2g64j4UhB8CcQKYRojBrw+wJPF2mzEogFtgFPAL9Ysw/o0KGj4qH5yINaHSQlFQyumnsjFAzE2oxcU7P4+io9uwZtBq+d22BQQXfu7uqYss7OLalzdAFQMhwmCIw6/xeBdYA78KWU8qAQ4h1UOtSVwAJgsRDiBJCEEhY6dOhwUQQEqFWCwVCgftFw44YSBiWpWjQVmAZNWOhwHipdZLEQ4jJQkSlBwyhivHYRuCovcF1uOq/SwVV5getyc2Ve/lJKs4rISicIKhpCiB2WXK6cCVflBa7LTedVOrgqL3BdbpWVl64906FDh45qDl0Q6NChQ0c1hy4ISsY8ZxOwAFflBa7LTedVOrgqL3BdbpWSl24j0KFDh45qDn1FoEOHDh3VHNVeEAghbnI2B0sQQgQ7m4M5CCHKX+fPAdD7q/QQQrhkXLOrPpdVtb+qrSAQQgQIIT4B1ggh5gohHnM2Jw1CCD8hxCxgrRDiJSHEbcbtTr1fxj77GPhJCPGeEOJuZ/LRoPdX6SGE8BFCzAY2CSHeEULcY9zuCn3mcs9lVe+vaikIhBD1gMWAAHoBvwFTnUqqMF5BZWGNBXyAuQBSSqel/hJCRALfAXnAIOAyMNZZfIpA76/SYxAQDtwFJABfCiF8nNxnrvxcVun+qpaCAMgC5kspR0opLwLLgD1CiNbOIiSE8DG+ewBewP9JKY9IKT8ELhtnls6cgaQD86SUrxmLC60GLggh6juDjN5fpYcQIsD0K7BNSnlVSvkVKt/X+8Z2zsrF6VLPZXXqr2ohCIQQtwgh5gghfAGklFeBX02aNACaAEedwC1KCBEPfCqEuF1KmQsEAF1Mmg0DYoQQ9StqBmLss/zZhZTyPLDGpIkf0ExKebYi+Jjw0vur9NyaCiGWAQuFEA8KIbyNu8JNmo0C+gghbpZSyooY3Fz1uayO/VXlBYEQ4k7U8mkISoWAEEJIKU2LBXoBp6WU2RXMzRelxtgL7ANeEEIMBj4AhgkhwgCklGeAOOD5CuL1ILACeE0Ya00LITyklGkmzUKo+AdU76/Sc3MDPgEOoJ6Dh4HxwCKglxCiFYBRQP2AUX3l6CzArvpcVtf+qvKCAFXfYBAQBTwrhIgwc9NuA04CCCGer8Cl6M1AupRyqpTyU2A+0AfwBWZTOAjkGKrKW0UsRf8G+qP67HUhRIAxm6ybybVbAAeNfJ4WQkQ5mBPo/VUW1AGuA5OklD8A76LqiEeihOo4UeBxspaKS+joqs9lteyvKi8IpJSHgRNSyhPABuAdKKY7jgZChRDLUTUTsiqI2wGgkRCiu3HTPuBnYDQwDggRQrwthHgKeA7INB7n0NmHlHIHcMTYZ2uBOcZdwuTadwK1hBDfoQbBG8XPZHdeen/ZAFPBJ6U8B9yOGsy077OB943CNB2YKIR4DrWySqogXi7zXJpe08X6y5SXY/tLSlklXqild6DJd1H0M1ADOAFEFzl2DWq29oSDuIUBN5nyAdyMn18C4kz2tUXVaQhDSf+BwHqgf0XwMtNngagZUgeTfd6oQXgn8JQDeNUBuhbZ5gr9VYyXK/SXCbfBRba5G9+fAbaYbK+JMiy2BYJR6o+lDuyzwRb2Oe25RNVLnwZ4uVh/FeNVEf1l9z+kM17AW8Bh482ZYNzmVqSNdpP/Bfxo/NwPNSj/w4Hc3gSOAP8BpphyMX5uCiwHYo3fQ1HFfGo7uM/M8bLUZ28Bm4yfexrfezuQ20HUzLqd8bupgHJKf5XEy8n99RZKyLxiYb8b8AvwL5Nti4BWDu4vq7yK9FmFPZcoZ4IDwGcoR4Oi/3tn9ZdVXo7sL4f9qIp4Af7Ah8A3wE2oGWEy0Mi4v9gM1/j5mrHdAsDHQdx8gCmomUQtI78MIET7s5m0vQ+l22sHPAVsAho6g1eRtqZ9lgukAjMATwdxczM+AGtQy+5/o4ppOK2/bOBl6T/m8P4yXmea8TrFrlGET3uU/3tvYABqgG7hDF5WODr0uaRgVfmppUGdgll3hfWXLbwc3V8O+RM4+gXUNL57AP8APEz2fQEMsnBcEEpw7APucCQ34+c6Jp//ASwBWlr44w0HZhr/cHbnVlpeJvvDjH2629G8TLZ9BrxmHES7O7u/bOFVUf1l5l42B/5AqQuiUAbFzkXaawPNo8BE4L/Anc7mZdLWoc9lEV5uwH7UBKil8brPYDIRomDWXZH9VSIvR/aX3f+kjnyh1ACfoXTALwNNTfYJlPvUJqCthePdgNYVxK2ZcbsHagZ7GpgO/A+1lNP+bKYzXXdX4WVyvIeDHk5TXi8BzY3bmwILjZ9fQc3A/wXU1+5zBfaXzbwc3V8W7qXGbQLK+LwVeBvlyTLQ5D8mHMGnvLxMjnfIc2nmXt5q3P4+8LFx+1BUsN/7Js9GMZWMK/ByZH9VGq8hIURn1NL8CvAeyqjyskkTN9SfLgc4Z+4cUkqDlHJfBXEbYbxmLrALaCKlfBU1w3jFyBdpEvAkpcxzFV4mnHKllL87mFd9E14ngBQhhDtwCzAS6CSNgVjS+CQYPzu6v2zmZcLJ7v1lgVs91KoI1ArlHeBeKeVE4EWNt5GTxEEoDy8TfnZ/Li3cy8HG3Zpa8Vsp5VzgdaA2xoAx6cAgxPLw0uCI/vKw58kcjOvAR1LKpZCfaTLaGPV3Q0qZJ4RoYvx8WajkS15aeydx8wGypZT5xayllD8JIV5DPTCndV6FeHmi/O1vRS17T6J0zVIIESmlPF5NeVnidq/xXiZLKd/VGkopVwkhXkENMo72c69MvHoY9/2GikRvZ+S13xiMWBFR6C7JyyUFgTFirtAsRkp5RAhxxmTfDZRqyDSKLhrwFUIsQs3aXncytyzTY4QQzVGzgETgvM6rGK8bwF4hxBZgs5RyvRCiMdAXO/uQuyqvUnK7WbuXJse2QN3L0zjvXroqrybGfSeEEJ8BY4TKSdUEtRJOqA68zMHlVENCCE/TzisShJJusq8RanZmijCgFcoHuJOU8lcX4eYthIhBeTf9IqV8RkqZo/Myz0tK+ZaUcr3xc4KUcrJUaSOqNK/ycBNCeAgh+qBcqH+WUj5rFGA6LzO8pJR7UGqqLcBKKeVDUgWPVWleluBSgkAI8SKwUah83w+D0m8Kk+g5k89NgO3GbY8JIYJQaX8bSSntXje0PNxQCcfWoXTKs3Re1nkJIWrbk0tl4FVebihPkt+Ajq50L12VlxCirpQySUq5XEq5oDrwsgaXEARCiBCh1Dn3A2+gDCmxxuV3vvFGCNFaFhhyWgBRQog1wJMoe8ARKWWmC3Jzl1Jesie3KszrcRygE3VVXnbi9gTK0yVJFlHJ6Lws3stce/FxdV42QTrQTcrWF+COyqqn+Yg3ARZi9G1HWc4XAZuBukBDIAWVgtVhEZuuzE3nVTV4uTI3nVfV4GUTd6dcVBmpXwMamGwLMPnshgpGiTR+7wGMKHKOZ6sTN51X1eDlytx0XlWDV5l+S4VfULng7UKl7l1ioU1zYLWFfcWSMVV1bjqvqsHLlbnpvKoGr7K+nGEjuIJKDdAMlVL4PgAhhLuJZb0OqsYrQohOwlj0WwghpB29WioRN51X1eDlytx0XlWDV5lQ4YJASnkB+EZKeQ2lP9Mq/OQBWge2AbyEEB+iQq61YyUOhKty03lVDV6uzE3nVTV4lRVO8RqSBV4qi4AsIcTLxu0GozTtDtwDJEkpu0opN1V3bjqvqsHLlbnpvKoGrzLB2boplKvVduPn1sb3RzAxwOjcdF5VkZcrc9N5VQ1eNvN3NgFjh60FslHZ9sKczacycNN5VQ1ersxN51U1eNnE3ckd50ZBjpvnnd0ZlYGbzqtq8HJlbjqvqsGrNC8t8MFpEEI8gMpzk11i4wqGq3LTeZUOrsoLXJebzqt0cFVetsLpgkCHDh06dDgXLpFrSIcOHTp0OA+6INChQ4eOag5dEOjQoUNHNYcuCHTo0KGjmkMXBDp06NBRzaELAh06SoAQIk8IsUcIcVAIsVcI8aowqTZl4ZhGQoinK4qjDh3lgS4IdOgoGZlSyrZSypaonPIPAG+XcEwjQBcEOioF9DgCHTpKgBAiTUoZYPK9CfAnEAZEAIsBf+PuF6WUW4UQf6Dy0ScAX6NSFk8B/gF4A7OklHMr7Efo0GEFuiDQoaMEFBUExm3XgVuAVMAgpcwSQkSiipTcLoT4B/CalPIhY/shQLiU8j0hhDfwO/CklDKhQn+MDh1m4OFsAjp0VHJ4Ap8JIdoCeUCUhXb3Aa2FEE8YvwcBkagVgw4dToUuCHToKCWMqqE84BLKVvA3qgiJG5Bl6TDgJSnlugohqUNHKaAbi3XoKAWEELWAOcBnUulVg4ALUkoDEAO4G5umAjVMDl0HDBdCeBrPEyWE8EeHDheAviLQoaNk+Aoh9qDUQLko4/BHxn2fA8uFEANR+ejTjdv3AXlCiL2oUoYzUJ5Eu4zVqy4DvSvqB+jQYQ26sViHDh06qjl01ZAOHTp0VHPogkCHDh06qjl0QaBDhw4d1Ry6INChQ4eOag5dEOjQoUNHNYcuCHTo0KGjmkMXBDp06NBRzaELAh06dOio5vh/lAPAeHfFjHAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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p6am3FIXCoVCGoJRJTk5m+/bttG7dWsXVLyI//vij3hIUCodEDQ2VMnFxcQQFBfHSSy/pLcUueemllxg0aBBXrlzRW4pC4TDYMjHNciHEDSHEqQLKRwkhTgghTgoh9gohWtlKS1miUqVKjB49mqZNm3L27Fm95dgdv//+Oxs3biQ+Pl5vKQqFw2DLHsEKoK+Z8stADynlfcBbwBIbaikzVK9enWnTprFjxw6GDh2qtxy7onXr1hw/fpwvvvhCza8oFFbEZnMEUspdQohAM+V7c+zuB+raSktZw8PDgxYtWqgQE0UkMjISgMGDB1OlShWd1SgUjkNZmSweD2zRW0RpkJaWhqurK3v37qVy5cp6y7ErTp48SUZGhgrNoVBYGd0ni4UQPdEMwetm6gQJIUKFEKExMTGlJ84G7N27F19fX5WruBjUqlWLM2fOsHz5cpWzWKGwIroaAiFES+BLYLCUssCYAVLKJVLKdlLKdjVq1Cg9gTaiZs2a+Pj46C3DLvnvf/9LUFAQJ0+e1FuKQuEw6GYIhBD+wDrgaSnlOb10lDY9e/bkr7/+4vDhw9x33316y7ErJk+ezLZt23jmmWfw8/PTW45C4TDYLGexEOJb4EGgOhANzAYqAkgpFwshvgSGAWHGUzILyqeZE0fIWXzr1i2qVq2Kt7c3t27d0luO3eDi4kJGRgZpaWm4uLjoLUehsCvM5Sy2pdfQyELKJwATbHX9soyXlxeXL1+mYsWKekuxKz777DMyMjJUik+FwsroPllc3li7di0dO3bk+++/V8MbRWTChAmMHj2aGzdukJycrLcchcJhUIaglImMjCQ0NFR5vRSTF154AV9fXxXCW6GwIsoQlDJPPvkkBw4c4MqVKzz//PMYDAa9JdkFWVlZbNiwgQMHDlCzZk01rKZQWBGbTRbbCkeYLAY18VlUkpKS8PT0xM3NTQ0LKRTFQJfJYoV5PvzwQ4QQODmpTpklODk5MXDgQGU0FQoboAxBKbN161YOHjxI37596dChg95y7AY3Nzc2btyotwyFwiEp9HVUCOEkhGgjhBgghHhICFGzNIQ5Kps3b2b27Nns379fbyl2yWeffUb79u1Zvny53lIUCoehwB6BEOIetPg/vYHzQAxQCWgkhEgGvgBWSinVbGcR6NevH1WqVCE5OZnNmzfTq1cvKlWqpLesMo9pLkt5XSkU1qfAyWLjyuDPgT9lnkrGXsFTQLyUcqXNVebAUSaL/fz8iIyMJDw8XK0nsIDw8HDq1asHwIEDB6hbty516tTRWVXZ58033+TmzZt89tlnektR6EyxJovNrQyWUt4APrSCtnJLz549iYuLU26QFpKVlQVAvXr11NyKhUgpeeuttwAIDg6matWqOitSlFUsmiwWQjwABOasL6X82kaaHJpz586RnJzM559/rvIRFIGAgAAMBoNad1FE1q1bR1JSkjICFrJhwwa2bNnCo48+Sv/+/fWWU2oUuo5ACPENcA9wDMgyHpZSyn/bWFu+2PvQUN++fdm2bRu//PIL/fr101uO3XHo0CG2bNlCu3btytUfqqJ0aNGiBadPn8bT05PExES95ViVkq4jaAc0yztPoCge9evXp2XLllSrVk1vKXbJwYMHmT17NpMnT1aGQGF1OnfuzOnTp7n33nv1llKqWNIj+AH4t5QyqnQkmcfeewQm2rdvz+HDhzl8+DBt2rTRW06Z58qVK0yZMoWYmBgeeeQROnbsyMCBA/WWVaaJjIzEz8+PSpUqcfXqVRwhqZOtuX79OhcvXsTX19fhcooXq0cghNgISKAycEYIcRBIM5VLKQdZW2h5QkqJlJLMzEy9pdgFt27dYvPmzbRs2TJ7AlRhHlMWt9TUVJKSkpQhsIDatWtTu3ZtvWWUOuaGht4vScNCiOXAQOCGlLJFPuUC+AjoDyQDY6SUR0pyTXti3759ODs7qxATFlK/fn02btyIh4eH3lLshlq1alGvXj3uueceZQQs5OjRo0RFRdGqVaty5dZtywxl3YE7wNcFGIL+wAtohqAj8JGUsmNh7dr70FDHjh2JjIxkz549+Pv76y3H7rh16xaXL1/Gy8uLe+65R285CgejS5cu7N27l759+7Jlyxa95VgVc0NDloSYGCqEOC+EuC2ESBBCJAohEgo7T0q5C4gzU2UwmpGQUsr9QBUhhG9h7do7ERERhIeHq55AMfntt99o27YtU6dO1VuKwgExrfLfuXOnzkpKF0u8ht4FHpVSnrXytf2Aazn2w43HysSktK04evQoKSkpLF26lOPHj/Pmm2/Stm1bvWWVeSIjI9m4cSPnzp2jVatWBAYG6i2pzBMXF8fatWtJT0/niSeeUMNDFvD555+zfPlymjRporeUUsUSQxBtAyNQJIQQQUAQYPfDKaY/RpM/fFBQkM6K7IO///6bSZMm0aNHD44dO6a3HLvgzTffZNGiRQB06tRJGQILaNSoEQsWLNBbRqljzmtoqPFjqBDie+BncnsNrSvhtSOAejn26xqP3YWUcgmwBLQ5ghJet0wwY8YMnnvuOdUbsBBfX1+CgoJo2LCh3lLsBldXVwA8PDzw8fHRWY19IKVE82MpX5gLOveVmfOklHJcoY0LEQhsKmCyeAAwhX8miz+WUhYaRMaeJ4uzsrIICgrCzc2NTz/9VG85CoUiD507d2b//v0sXryY5557Tm85VsXcZLE5Q/AUsE1KGVvMi34LPAhUB6KB2UBFACnlYqP76KdAXzT30bFSykKf8PZsCL766ivGjdPsZ0BAAMHBwYwaNUpnVfZFaGgoQ4YMoXXr1mzatElvOQoHw9vbm4QEzRfG0YIpFDfERD3gByFERWAHsAU4aGmoCXPRS43lEviXJW05AiEhIUyZMiV7PywsjHHjxnH9+nVeeeUVHZXZBykpKcTHxxMbG0tERIQKQW0h8fHxpKSkUK1aNZX3wgKOHDnCwIEDady4sd5SShVLQkxURktO0xfoAJwFtqL1FqJtrjAP9tojCAwMJCws7K7jPj4+3Lx5UwdF9sW6desYNmwY/fv3Z/Hixbi5uVG9enW9ZZVpevfuzY4dOwAtRWqfPn10VqTQkxIFnZNSJgI/GTeEEM2AfsDXgPplWcjVq1fzPR4XZ26phcKEq6srvr6+1K5dOztBjcI8hw4dAjTf+AoVVHpyRcFYmo/ADwjIUf+QlPI/NlPlgPj7++fbI7B3d9jSYsCAAURGRuotw67Yu3cvt27donPnzmoBo4VMnDgxO6Obr6/Dr2/NplBDIIRYCDwBnCFHPgJglw11ORzBwcFMmDCB1NTU7GPu7u4EBwfrqMr+uHnzJrNmzaJKlSrMnz9fbzllmubNm+stwe74/vvvSUxMZMeOHdmTxuUBS14ThgCNpZT9pZSPGjcVebSIjBo1ioULF+Lm5gZoKRffe+89Bg8erLMy+yIpKYnFixezatUqvaUoHJCVK7UU7CkpKTorKV0sMQSXMLp9KkrGv//9b5KTk5FS8vjjj/Ovf/2LxYsX6y3LLvj5559p27Ytn332GYsWLSqXqz+LQnh4ONOnT6devXrcf//9/PLLL3pLsgsGDx7MxYsXuXz5st5SShVzK4s/QRsCSgaOCSF2kHtlsS6pKh0FLy8vatasmb36U2GemJgYjh49yv3338/ChQv1llPmuXz5cvbQWXh4uPJMsxAnJyeHS0hjCeYWlD1r7kQp5UqbKCoEe3UfhX8WqJTHJewl5ebNm4SFheHj46MCzlnAlStXCAkJITk5maFDhxIYGKjCTFjAkiVLcHZ2ZsyYMTg7O+stx6oUd2XxEGCvlPKGLcUVFXs2BLt376Zbt2507dqVP//8U285dklWVhbbtm3DYDCoVJUKqyKlxNnZGSklQUFBfPLJJ7i4uOgty2oUNx/BaOCoMRfBSiFEkBDirphBCsvJytKcrpQrX/HJzMxkwIABDB06tPDKCkURMBkA0HoGOT38HJ0C5wiklMMhO3DcA8btOSGEP9o6gv6lIdCR6NGjBwaDAYPBwKpVq/j4448ZNWoUL774ot7Syjx79uxh+/btdO7cmT59+jjUm5otuHTpEjExMZw7d46LFy/Sp08fOnfurLesMo2TkxOLFy+mTZs2GAyGcjV/Z8nK4itCiEqAm3EzfVYUAyEEzs7O3Lhxg0OHDtG1a1e9JdkFe/bsYe7cuUydOpWtW7fqLafMs3jxYt57773sfS8vL2UILMTRoo5agjmvoelAZ6AG8DewHy1aaJCUMqug8xSW8eSTT9KlSxcVPM1CHnjgAWbPns0DDzygtxS7wM/Pjw4dOtCkSRPq169Pp06d9JZU5snKyuL69eu4urqWuzhW5iaL/wKSgI3AXuCAlPJ2KWrLF3ueLN67dy/vvPMODzzwANOnT9dbjl2jPLAU1iYiIoK6desCsHnzZrp3746np6fOqqxHsSaLpZRNgIeBULS8Aj8JIQ4KIZYKIcbaRKmDExkZyebNmzly5IjeUuyaGjVq4OTkRHx8vN5SFA6EwWDI7qEPGDCAa9euFXKG42B2jkBKGQdsEkJsBe4HugPPAeMAcxnMFPnQpUsXNm7cSK1atThx4gTr16+nRYsWPPbYY3pLK/OEh4cTHR2Nn59fdi8gIyNDZ1Vln+vXrxMREUGtWrWy33YV+VOvXj0iIiKYOHEi4eHh5St/g5Qy3w0YBCwA/gTijP8uAAYDNQo6L08bfdHmFy4Ab+RT7g/8DhwFTgD9C2vz/vvvl47A119/LQE5evRovaXYBW+88YYE5IgRI6S/v78UQsiAgAC5atUqvaWVSSZOnChr1Kgh27RpIwE5ffp0vSUpdAYIlQU8V831CMYAe4DXgMNSyvSiGBghhDOwCG14KRw4JITYIKU8k6PaTGCNlPJzY56DX4DAolzHXmnZsiUzZ86kVatWekuxC3x9fQkICGD9+vWkp2s/xbCwsGy/b5XyMzfx8fHExMTQtm1b2rZtW65CKiuKjiUZyvpJKbfkOTZJSmk2WpoQojMwR0rZx7g/DUBKOT9HnS+AS1LKhcb6/5FSmnULsefJ4jNnzvDnn3/SrFkzunXrprccu6OgLG8BAQFcuXKl9AWVYRITE0lOTsbLyys74q3CPCdOnGDMmDG0bt2a5cuX6y3H6hR3ZbGJWUKIh3I09hra8FBh+AE5Z1vCjcdyMgcYLYQIR+sNvJBfQ8ZVzaFCiNCYmBgLLl022bVrF5MmTSIkJERvKXZJQVneCjpenqlcuTK1atVSRqAI3L59m6NHj/LVV1/h7OzM9u3b9ZZUalhiCAYB7wghugkhgoGOWGYILGEksEJKWRfoD3wjhLhLk5RyiZSynZSyXY0aNax06dKnadOmBAUF0bVrVxISEjh27Bjnz5/XW5bdUFA2N5XlTWEN2rRpw+HDh/H398dgMJQrZwRLVhbfFEIMAn4DDgPDZWHjSRoRQM7ksnWNx3IyHm1CGSnlPuMK5upAmQp0Zy169OhBjx49AC2ZeL9+/ejTp49aKWsBr732GvHx8bi4uGTPEYDK8lYQ8+fP58KFC9SpU4dly5YxatSoXCuNFXfj6elJ27ZtOX/+PM7Ozg4XfdQcBfYIhBCJQogEIUQCmtdPI2AEYDpWGIeAhkKI+kIIF+BJYEOeOleBXsbrNUULX2G/Yz9FwNvbm1atWlG/fn29pdgF8fHxJCQkMHr0aAICAhBCEBAQwJIlS9REcT5s2rSJ5cuXc/XqVaKiotSaiyLg4uJSrowAWDBZXKLGhegPfAg4A8ullMFCiHlobkwbjJ5CSwFPtCQ4r0kpfzXXpj1PFickJHDnzh28vLwcasViaXD79m2SkpLw9vbGw8NDbzllnl9++YWoqCh69uxJpUqV8PDwwNvbW29ZZZqTJ0+ydu1aWrZsybBhw/SWY3XMTRabWwMQWFCZsVwAdc3VscVmz+sI3nrrLQnIGTNm6C3Frtm6datcvHixDAsL01uKwoEICQmRaC+kcvDgwXL79u16S7IqmFlHYG6y+D0hxI9CiGeEEM2FEDWFEP5CiIeEEG+hrTFoakWD5fC4u7vj6+uLl5eX3lLsmo8//phJkyZx4sQJvaUoHIgWLVowe/ZsqlSpwvr168tV3mKzQ0PGoZtRQBfAF9HD/OUAACAASURBVC1/8Vk0V8+1UspSz9xgz0NDOTl58iT9+/enadOm/Pqr2dEwBfDFF19w+PBhgoKC2LdvH6dOnWLy5MlqQV4BbN26ldTUVHx8fPjmm29o06YNzz//vN6y7ILDhw9z9epV2rRp41BpUYs1NFRWN3seGsrJsWPHJCDvu+8+vaXYBcOGDZOAXLNmjd5S7IL69etLQL7//vsSkEOGDNFbkkJnKGaICYUNadq0KWFhYeUrsFUJmDRpEg8//DD333+/3lLsgkceeYSoqCi6devG4sWLlXeaBURGRhIZGUmdOnXKXZ4Qm3oN2QJ7Hhp69913+f7775k6dSpPPvmk3nLsloSEBBITE/H29lbeVwqrsWDBAqZNm8bDDz/ME088QZs2bWjbtq3esqxGSUNMKKxEWFgYR44cITY2Vm8pds2rr75K3bp1VagOBQDbtm2jffv2/PXXXyVqp1atWtx///0cOXKECRMmsH79eispLPsUagiEEOuEEAPyC/2gKBpvvPEGoaGhDB8+nPj4eCZPnszrr7+utyy7YO/evWzatImYmBiqVauGr69vuUouXlRSU1PJysoiNjaWTZs2sXv3br0l2Yy5c+cSGhrKJ598UqJ2xo4dS2hoKMuXL2fcuHG0adPGSgrtgIImD0wb0BsIAS6i5SNoXNg5ttwcZbI4MjJSArJ27dp6S7ELHnroIQk4nG+3rXB1dZWA3Lp1qwRk165d9ZZkMxYvXiwHDhwo169fr7eUMg3FXEdgMhS/SSlHAW2BK8BvQoi9QoixQoiKNrFO5QBvb28WLVrEwoULrdZmSEgIgYGBODk5ERgY6FBDJ506dWLAgAFYK+igI98rAGdnZ4QQ+Pr6MmDAAB54wGx0d7vmueeeY+PGjQwaNCjf8gMHDvDMM89w44ZDhjCzDgVZiJwb4AO8iJa/eAPwBPAJ8Icl51tzs+cewZo1a+Ts2bPliRMnrN72qlWrpLu7e/bKSEC6u7urDF75UJ7ulcFg0FuCzTlw4IA8ceKETE9Pz7fc9H88efJks+28/vrrsnbt2nLx4sUyOjpaxsfH20KubmCmR2CJEfgJOANMA3zzlBXYsK02ezYEjz/+uATkt99+a/W2AwICcj3YTFtAQIDVr6U3y5Ytk23btpWffvppsc4vT/eqPFC9enUJyIiIiHzLN23aJF966SV56NAhs+1MnDhRArJdu3YSkOPHj7eFXN0w97y2ZAL4YyllMynlfCllVJ7eRP6r1BT5MmLECGbPnk2LFi0wGAxs2bKFTZs2WaVtR0/aYjAYTC8fREdHc+TIEa5du1bIWfnj6PcqL1JKsrKy9JZhE6SU3Lx5E9DcP/NjwIAB/Pe//6VdO/OPq/fff5+IiAiCgoKoXr16+QpuWJCFMG3A0Hy2XkDNws61xWbPPYKcZGZmSkA6OztbpT1Hf8s1JWEPDQ2VERER8tChQwW+ARZGQffKx8fHyqr1ISEhQfbu3VuOGDFCnj59WgKyadOmesuyGR999JEE5Isvvqi3lDINJewRjAe+RIs5NAotbPTrwB4hxNPWMEblEScnJ/r06UO/fv2y33RLQnBw8F0x1B0paYvpHjk7O1OnTh3atWtX7NWfwcHBVKx4t59DYmKiQ0waJycn89tvv/HHH39k/yYMBoPOqmzHlClTMBgMfPjhh3eVnT17locffphHHnmEvXv36qDOTijIQpg24FegVo79WsA2oBpwqrDzrb3Zc4/g7Nmz8tChQ/L27dty1apVMiAgQAohZEBAgFUmKidPnpyrJ+Bok58Gg8Fqk58+Pj4O24NKTU2V27Ztk9u3b5cGg0FmZWXpLUk3Vq5cmf1/O3XqVLN1P/roIxkUFCSPHz9eSupKF0o4WXwmz74wHQOOFnJuX+BvtAxnbxRQ53G0yejTwOrC9NizITD5wk+bNq3ceK3YgmPHjsk333xTrl27tthtCCHyNQRCCCsqVdiarVu3yipVqsgxY8bkW37ixAnZo0cPWatWLfnjjz+abatv374SkLNmzZIdOnSQU6ZMsYVk3TBnCCwJOveHEGIT8INxf5jxmAdwq6CThBDOwCLgYSAcOCSE2CClPJOjTkM0b6QuUsp4IURNC/TYLQ0bNuTWrVt89dVXJCcn5ypLTk5mxowZKu2iBZw8eZJ58+YxatSoYmeS8vLy4vbt23cd9/f3L6k8RSkSExPDrVu3WLFiBQ0aNGDWrFm5yu+77z7++OMPi9p68cUXGTJkCBUrVuTgwYNUrlzZBorLJpYYgn+hTRB3Ne5/DfxotDA9zZzXAbggpbwEIIT4DhiM9vZvYiKwSEoZDyCldOgVH4sXLwa0+YH8KInXSlpaGvv37+fSpUvUrFmTAQMGFLutssi4ceOIiYlh6dKltGzZktmzZ9OyZctit/fvf/+bBQsWkJGRkX3MUeZUbt68yerVq6lVqxZ9+vTh6aefpnLlyqxevVpvaVZn5MiRZGRkMG7cOA4ePFiitvr27QtoaVGbNWtG1apVrSHRPiioq6A953EGfjdXx8y5w4Evc+w/DXyap87PwLto2c72A30La9eeh4ZM2MLDx+QdYtocbVy4Xr16EpBXrlyxWpu2mKcpCxw5ckQCsmXLlvLmzZsSkNWqVdNbls2IioqSGzZsuGudgMFgkGvXrpV79+6VV69eldevX9dJYdmA4g4NSSmzhBAGIYS3lPLufnTJqQA0BB4E6gK7hBD3SSlzDTkJIYKAIHCMrntwcDBBQUG5hodK+jaanp5Op06d2L9/P/379ycrK6vAnoc98tVXX5GUlGS1EBMAo0aNwt/fn7Nnz9K9e3eaNGlitbb1xMfHhylTpmSnRV2/fr1D572oXbs2jz766F3H4+LieOqpp0hPTwdg0KBBZiOK7ty5k6SkJHr06FH+0skWZCHkP2/t64GrwDLgY9NmwXmdgW059qcB0/LUWQyMzbG/A2hvrl177hE8+OCD0tfXV54+fdph30ZLg4SEBBkaGirPnDlT7DbOnj0r9+3bJ4cMGSIBuXTpUisqVJQW7733nhw7dqw8cuTIXWW3b9+WixYtkoCsU6eOfPbZZ8221aJFCwnI3377Tb799tty0aJFNlKtD5TQa+jZ/DYLzqsAXALqAy7AcaB5njp9gZXGz9WBa4CPuXbt2RA0a9ZMAvLUqVNWbbe8GZWdO3dKQPbo0aPYbZjCffTv319OnDhR/u9//7OeQEWp0atXLwnIoUOHyu++++6u8itXrsg9e/ZY1Na//vUvOWDAALlt2zYJyCZNmlhbrq6UyBBo5+NGMcJPA/2Bc2ghrGcYj80DBhk/C+C/aBPIJ4EnC2vTng3BzZs3ZURERHZwrJkzZ8r+/fuXyG+5vARQW7Zsmfziiy9kamqqPHLkiGzTpo2cMGFCsdubMWOG7NSpk/z999+tJ7KMkJSUJC9duiRv3LghDQaD/OKLL+Rnn32mtyybsHPnTvnCCy9I8uT/3rNnj/zzzz9lSkpKkduMiYmR06dPlx999JE1pepOSXsEj6KtBbhs3G8NbCjsPFtt9mwI8tK7d28JyG3bthW7jYImnuvUqWNFpfpTuXJlCchbt27pLaXMs3nzZgnIvn37SoPBkP2bcNRIpBEREXLChAly3rx52cfq1q0rARkWFqajsrKFOUNgifvoHDRX0D8ApJTHhBANLDhPUQizZ8/m3//+d4kyIRXkchoVFZXvcXtl7NixJCcnWz0rWVJSEgkJCbi7u+Pt7W3VtvXCxcWFgIAAateujRCCoKAgnJycMBgMd4UhcQTq1KnD0qVLcx3r0KEDAQEBeHh4cPnyZYYOHUrdunXZuHFjge1kZGRQoUIFhBC2llz2KMhCmDZgv/HfozmOnSjsPFtt9twjePnll2VQUJBV45w7erA5WzN37tzs1aQK+yI9PV0uX75cbt682Wy9ixcvSkDWr1/fbD0vLy8JyJs3b8pjx47Jo0ePWlOu7lDCoHOnhRBPAc5CiIZCiE8AFb2pGKxatYolS5aQlpZmtTaDg4Nxd3fPdcxRFkYVxOXLl6lTpw4dOnQodhsPPPAANWrUIDw8nFq1auHm5mZFhYrSICYmhnHjxjFmzBiioqIKDEvu5+fH4cOH2bp1q9n2TIH5MjIyaN26Nd26dbO65rKKJUNDLwAzgDTgW7SAc2/ZUpSj8p///IekpKRsH+V9+/Zx4sQJOnfuXOxVsqaQFDNmzODq1av4+/sTHBzsUKEqpJRERETg7OyMr68vQgiioqLyjSBqKbGxsdy8eZNXXnmFJUuWWFFt2SM6OpqMjAx8fX0damhICMHo0aNxcnKiTp06VK5cmYSEhLvqubq60rZt20LbS0xMxGAwkJ6ezn333Yenp6ctZGcjJWRlaVtmJqSna8dA+1y5MpRWSgQhTVe2E9q1aydDQ0P1lmEV/u///o+PPvqI//73v7z00kvFbicrK4tRo0bh5eVFYGAg+/fvZ9asWbRv396KavXjm2++4ZlnngEgICCAt956i169euHq6oqPj0+x2rxz5w4pKSlUrVqVChUseR+yH9auXcucOXOyEyFVr16d2NhYYmJiqF69ut7yrE5qair169fH09OT8+fPk5KSgo+PD1WqVCEyMlJvebmQEtLS4PZtSEkpvH61auDkBAYDuLpqW3ERQhyWBSQTK/QvQAjRCHgVCMxZX0r5UPElKUAbnkhOTqZ58+YlaicpKYnvv/8eT09PevXqxcaNGxk3bpxDGIKQkBAmTZqUvR8WFsakSZNYsmRJiXo9np6eNn/j04uYmBhOnz5N165aeDBfX18qVarksDkJKlWqlMs5IjU1lZSUlGzHAiklc+bMIS0tjfnz59t8MlhK7cGdlgZ37mhv91lZ/zzQi/LuHRf3z2dXV/D1tb5esKBHIIQ4jrYC+DCQne9OSnnYNpLMY889gvXr1+Pk5MSAAQOsGv4hLS2NdevWkZWVxT333MONGzfo0KEDvrb61ZQigYGBhIWF3XU8ICCAK1eulLj9zZs3M3v2bPr27cvbb79d4vbKAnFxcURERFClShXq1auntxybkZaWRlpaGu7u7rl6dVJKUlJSSEtLyw4cV6FCBbKyskhPT893SDEpKYlhw4bh7e3N999/Xyw9BgMkJmpv+7awuSU1BCXqEQCZUsrPi395hYnHHnsMKa2fP9bV1ZWRI0datc2yQkHusWFhYTz33HN88cUXxWr3mWeeoUKFCjz44IMcPnyYRo0alURmmaJatWpUq1ZNbxk2Z8OGDTz++OMMHz6cH374Ifu4EAJ3d/dcThRz5841Oz+SlJTEtm3bsofOmjdvTlxcHH///fddcYdMb/tpadqbflqa9tZvz1hiCDYKISYDP6FNGAMgpYwr+BRFXqSUDBo0iMzMzOzeQGpqKvHx8bi4uBR7rNvR8ff3z7dHALBs2bJiGQKDwcA333wDwLvvvsvBgwetGsxOUToYDAa8vLyoXLkyvXr1IiYmhl27dlGlSpW76s6YMcNsW15eXmzdutXkHs/169eJi4sjLi6djAxtOCcz85/N0bBkaOhyPoellFKXRWX2PDSUl6VLlxIUFMT48eP58ssvi91OdHQ0O3bsoF69elSqVInjx4/ToUOHEsXrLyuEhIQwbty47AiSoLnHPvHEE3Tp0oVx48YVecw3KyuL7777jvT0dMaOHWttybrz22+/sWPHDnr37k2vXr0YNmwYly5dYt26ddSvX19veTahdu3aREdHExUVRXJyMtOmTaNRo0a89ZblDo5apAVtLP/y5WukpDjj6lqrzHha6To0JKV0zF9OGcDb25tatWqVeNLyxIkTjBo1ioceeog2bdrwn//8h3fffdchDMGoUaPYsGEDa9asAbS5gZK6xzo7OzuUe21edu3axYIFC3Bzc6NXr1789ddfnDlz5q6seI7E1q1bEULg4+PD5cuXWbNmDR07dsw2BKdOneL27du0adMm15CRwaBN6CYl/eO+KQQIUY88y3McmgJ7BEKI16SU7xo/j5BS/pCj7B0p5fRS0pgLe+0RSCkxGAw4OTlZ3Wvh2LFjLFy4kObNm9O4cWO2bt3K8OHD6devn1WvoxeJiYlcuXIFLy8vAgICrNp2WFgYK1euxM/Pj/Hjx1u1bb3YtWsXu3fvpnv37nTt2pXTp0+TkZFB48aNy8XCuZs3b7Jjxw68vb2zs441a9aMs2fPcurUKZo3b05WFiQkaJO7BgNERl5j+/b11KtXn4ceKpvZ/WzZIzBnCI5IKdvm/Zzffmlir4YgLi4OHx8fqlatSlycml4pKb/++iu//PILP/30E9euXSvSQrrExEQ2b95MtWrVcHNzo3v37nTp0oXdu3eXgnKFtVi0aBFr1qxh8uTJPPHEE2brPvXUU4SFhfHFF1/h69uIO3dyu3H+73/bGDOmL127Psw33/zK6tVfcOzYAcaO/T+aNi0bPWu9hoZEAZ/z21cUgmmSuKyMN9o7I0aMyLWKNCwsjKCgIIBCjUF4eDgjR46kSZMmbNu2jVmzZhEYGGgVXaahBYXtOXfuHLt27WLo0KEsWbKEsLAwnn/+eerWrXtX3dWrV5OeDpGRWi8gL7Vr+zF69GQaNGgMwJ9//srWrevo0aNfmTEEtkT1CEoZ0/AQwMmTJxk7diyNGzcmJCSk2G2mpKSQlZWFu7s76enp3L59GxcXF4dJvv3yyy/j4eHBG2+8gYdxzb2npydJSUl31bVkfUFYWBivv/46vr6+fPDBB1bVmp4OLi5WbbLInD9/npiYGO69915q1qzJ8uXLuXz5MuPHj7eawSsLXL58matXr9KgQQNGjBjBgQMH2LdvHzVr1mTfvn3ce++9dOzYMbv+rVvaZgn/+99WoqLCeeCBh/D3LxvBlvUaGsoCktDe/t0A00yTACpJKQsN9CKE6At8BDijJbJfUEC9YcBatDSVZp/y9m4IcnLkyBHuv/9+WrduzdGjR4vdTnBwMDNnzuSNN94gICCA559/nqCgoGL72JclMjMzcXV1RUpJamoqLsanrJOTE/n9doUQuq6gvXMH9F6wPH78eJYvX87SpUuZMGEC3bt3588//+SPP/6gR48e+oqzEcuWLSMqKopnn32WnTt3MmbMGJ555hlWrlyZXScqSvP5t1d0GRqSUpZoDEMI4QwsAh4GwoFDQogNUsozeepVBl4EDpTkevZIkyZNOHjwYHYc/JCQkGIHj3N3d8fT0xMvLy9q1KhxV0RSe8VgMPD5559nr7cwUdD6An9//yK1n56ezunTpxFC0Lp16xLrLQsLi+655x46depE7dq1AS2XQ+/eva0+0V6WyDnRHxgYyFNPPUXnzp2zj40dO46ffvqZ995bwcMPD7rr/Nu347lzJxFv76p4elYuFc0mDAbIyIDU1H/mLdLSwMsLSmtu32ZB54QQnYE5Uso+xv1pAFLK+XnqfQhsB6YCrzpqjyA8PJygoCD8/f1ZvHjxXeUhISEEBQXlcvFzd3cvcUwdR6Uk9ysjI4P09HQqVapEREQEAQEB1KtXr8BVzEUhNlb7Ay5BYFSFhYSEhHD9+nVGjBhR6AvA8OEj+fHH7/joo9UMGnT3KvzFixeycOEbBAVNZdq0d4mNjeHo0f14eHjSuXPPEunMzPwn1lBmJiQnazGETHGICnoECwF162rnSQlVq0LTpsXXYa5HYL2AN3fjh5aM3kS48VhOYW2BelLKzTbUUSZISEhgy5Yt7Nq1K9/yGTNm3OXnnZycXOiKSEcmJCSEwMBAnJycCAwMzDWP8sEHH5CcnEytWrUQQuDn52ex0dy0aROenp6MGDECNzc3WrduXeLAfzkpC72C/Lh48SI//PBDvkNq9sjixYt59dVXCQsL4+LFi+zfv5+bN2/eVS8rC+bN+5yjR2Pp1294vm1VquROnTr1qFpVCzFx+vRRJk4cxKefFi3+VGYm3LgB4eFw4QKEhmrb0aNw+DAcPw7nz2svDGlp5gPQSQnXrkFYGFy9qm22Qrf4u0IIJ7TE9WMsqBsEBEHRu/5lhXr16rF58+Zcftzp6eksWLAAg8FQ4NuoNd5S7ZG8b/x5vYIqVKiAk5MTNWvWJDo6mp49e1rcczIYDNmxaGrUqFGi+Zn8SE8vvTjylnDx4kXi4uIYOXIkFy9e5MSJE9x33316yyoxI0eOpH379vj7+/Paa6+xZs0avv322+xQLtrwaAWiosDdvYrZBWJjxrzAmDEvZO/7+QXQs2d/mje/2ydGSu2tPjVVG9JJSfkn7lBet1R7QbehISGEN3ARuGM8pTYQBwwyNzxkr0ND+ZGeno6rqysVKlTAz8+v2FE2p06dyuHDh3nnnXeoWLEikydPpmXLlnflcbUnCos6mndx3sSJE8tEgpnYWO2tsFYt/TSMGDGCnTt38v3339O7d28ee+wxfv755+zy06dP06xZM/0E2oCZM2eyfft25s6dy65du5g/fz7BwcG88MJ0YmOL16a20AwuXLhIaOiv9O49AYOhom49vqpVoU+f4p9f0uijxeUQ0FAIUR+IAJ4EnjIVSilvA9lZMoQQf2DBHIEjUbFiRWbOnImbmxsBAQGMHz8+VxpLS1NOHjlyhN9//53ExETc3Nw4ePCg3SdbKayH5OTkRFZWFl27diUpKalMeUiVxoNCSlngCvVbt24RFxeX7T3VsGFD2rVrR7t27WjUqFG+fvb2zttvv50dRnzPnj1UrlwZDw+PbC+hrVvXsX37evr0GcojjwzOda4pfHRysva5QgXt/zAuTnvbDwpqQUZGKunpFXnooQml/dVKBZs9LaSUmUKIKWipLZ2B5VLK00KIeWhJlDfY6tplkaioKH766Sf8/PwYPFj7IQohcgXFioyM5LXXXgOgbt26LFiwwKLhjg8//JAbN27Qpk0bKlasyP79+/ONwGhPWOIV5OzszJ9//lmi60gpqVevHunp6URHR1sl/EdWljZOXL26NtFnC7p3787u3bt58803mTt3bq6yn376idTUVCpX1rxf3n33XUD7rgkJCTZPzFJanDp1CldXVxo0aJBroeZbb72V/XcVEaEdO3PmGOvWfY2/fwMeeWQwUkJ8PNy8qa0tWLnyZU6f3slTT71Ly5aPANr9Skq6RfPmPTl2bAv+/o67sEylqiwldu3aRY8ePejWrVuBE8YAX3/9NRUrVmTIkCHlIi5MQRTmFRQcHMzu3buZOXMmXbp0KVLbX3/9NStWrODpp59m7NixuLi4kJGRQVpaWi4X1eIQG/vPylV3d6hZs0TNFYjpYe7i4pKrF2mOOXPmMHfuXGbNmsW8efNsI6wU8fDwIDk5mTt37mQvNMyJwfDPBOupU0c4e/YE/v5tqFWrFbGx2vi+ifffH8zhwxt4+eV1tG//GAAvv9yYqKhzfPDBeWrXvrc0vpJZbDk0ZEuvIUUOateuzaRJkxg0KLcP8+nTp9m3bx+pqamAljBl5MiR5doIgDYhPG/ePPz8/BBCEBAQkMsr6OjRo2zdupULFy7QunVrWrRoYXHbFy5c4Pfff88eZrp8+TLR0dH5Zq4qKjlzDiUn5963JhcvXqRx48Y899xzFtVPSEhg586dAA6RslJKScOGDbn33ntxc3MjODiYGjVq5FopntM+tmjRlocfHoOUrbh+PbcRABg79lPmzz9Ks2b/uIq6u1fBza0yKSkJODqqR6Az9957LxcvXuTcuXNkZGSQnJxMw4YNsxeZWcKHH34IwHPPPUdGRgYff/wxlSpV4tVXX7WVbJsTEhLCxIkTSUlJoXr16nz44Ye5hslCQ0NZt24d8+f/sywlIyPDormRy5cvc+nSJQIDA7nnnnusqvvCBW2M2UTVqlCE/0qrMGPGDCIjI5k7dy7+/v5MnTqV999/H6DEq9jLKrNmzeLtt99m7ty5JCamcPDgXl5//W2aNeuWXcfktmkpWVmZJCXFExMTxqlTv1GzZn06dzYf3M6WqB6BA9O6dWs6duyIs7Mzs2fPpn379jz77LNcuHDB4jZmzpzJSy+9lG1IZs2axXvvvWdD1bbFNCyUkpICaGGFg4KCcq0jaNeuXfbK0bp163Lp0iWL80DXr1+fXr16Wd0IgBbaOCd37uRfz5b8/PPPrFixIjso350cInr2LNniqLLK1KlTiY6OZurUqRw7doJdu3YRG3s7u/zq1ats2fIj58/vt7hNZ+cK/PTT28yc2Z7vvpvG7t2rbCG9TGDfriV2RHJyMnFxcXh4eOQKBrd27drsz6aAYOvXr6dfv37ce69l45L/93//R2JiIh4eHlSoUIHp06fb9WSxucV1OXsF/fv3JzY2lqysrBKlmpwxYwbXr19n4cKF2Tlri0t6ujYkZPJZz8jQkplbs1dw7Ngx5s2bR/fu3Rk7diyVKlXC1dU1u3z+/PnExsZmewfNnz+fOXPm4OXl5bBDjl5eXtm5hadPf4/x46fSqNE/w4W///4nH3wwmi5dnqJhw053nb9hw0JSU+/Qt++LeHn98xtIT9deRvz8mtKpk369AVujhoZKiXXr1jFs2DAee+wx1q1bV2C9L7/8ku3btzN27NjspBrlDUsCyu3Zs4fjx4/TtWvXImdi27RpExcuXKBfv340btw4e3ju/PnzFhvfgthvfOE0hvnJxtVVW1tgDS+ib7/9lqeeyvbE5pdffrEoCVFERASjR4/G29s717oCe+TChQv06tWLZs2asWXLluzjOSeITVy/Dr/+uodNm/5Dkybd6N//pbvae+GFAG7evMrHH1+mRo1AAEJD17Nly4e0atWX/v1fpkIF28YNMf3kpdQyplWqlDtUib2uI1DkwMXFBT8/v0KT1E+YMIEJExzTV9lSLHEdXbNmDR9//DEffPABx44d48iRI0yYMMGiSeOvv/6aH374gTp16tC4cWPeeustkpOTS9wbMJGYeLchSEvTXBWt4UXUrVs3vv/+e15//XWio6Nz5WUoiJSUFKSUyq2c7gAAIABJREFU/PHHHyXqPZUVEhMTuXr1KtWqVQM0r7wVK1bQqVM3HnnknzzUsbFw5Qo0atSFl18u2Lvs0UdfJzHxJp6e//x9JibGcubMH/j4+BfLCGRmQnS09ntIT9fmjlJSNE0XL2q/B9Oq5ORkrV5WlhZjSEot4Fy3blClirZfs6ZW3r9/kaUUiuoR6Mz48eNZv349K1asYODAgUU+PzU1lfPnz+Pt7Z39oDx58iQpKSm0a9fO4nHzskRBCetzeg2tWbOGCRMm4O3tza1bt7hz5w5r1qxhxIgRhba/cuVKjh49ytixY2nVqpVVte/fr/mut22bf4Iad3dt8/AoeQKb9PR0KlaseNe6gJ9//pmsrCwGDhyIq6srP/30E0OHDgVg0KBBzJ071yqRVvUkPT2dqKgopJQEBgaybNkyJkyYwOjR42jatANJSXcYPnwM8fE+3LhRvGvExUUQGfkXNWrUx2DIJCEhxjis5Mzt29qQX3Kytg4hIUF72F+9qhmelBStvLheY25uWht5adcODh0qXpuqR1CGSUpKIjY2ltjYWNzd3alVqxanT58mLS3NosQyly5domXLljRp0oSzZ88C0LlzZ5KSkkhISMheVGRPjBo1il9++YXVq1cD+Sesf/zxx9m1axeLFi2id+/eDBgwwOIhomeffZZnn33WJtpBmxc4dQoaNLg75lBysrbFx2tRSrVE6drboul5LgQ4O2vDSFlZ2pulwaB9zpkBzWBwyY5MaSpzctJCLt+6FU9kZCzVq7sSGno4+/pDhgwp1AiYvEtNbZva1RsptXsrJWRmuuDjE5A9dNKtWze+/PJLatZszAsvjCEs7CK9ew8iIcHHeK4kKyuTrKwMXF0LD9EuJYSH+7Fjhx+JifD33wcwGLypUkVzAMjMLFyvENpbfNWq2hBPZqY23FOlCgQGarkF3N21Y25u2u/B2Vm7trOzZlAOHND+P4TQvvsDDxT//plDGQIbUJS8Ap999hmffPIJKSkppKSkcOXKFTw8PHjooYfYsWOHRddr1qxZLg+Ytm3bZmcts1eWLVvGwoULcXV1LXAo49lnn6Vdu3Z07NiRpiWIz7tv3z6io6Pp0qWL1YZNkpLg3Dlo0yb/8qwszRgUh59/DsHJyYkHH+yPl9fds9APPfQoSUmJ3LpVibQ06NBhMAsXBtC+fVs6dWqVfX3TpLYQ/0TCzMzU3nANBu3hn3fJgRD/GAhTnZxlFSpoD7YKFbSHX6VKxfuOOUlP1wK8JSTk/wCuUAFq1mzEmDGNuH4dnnxyIjdv3sDd3YfoaK3OpUuhzJzZgfr17+edd7QRhdhYOH0azp838PffiSQkuCGEC25u2rVyJ8DTMp2ZMpxVrqw90N3dNUcALy9tHqhmTWjYUCv39CzZ9w8M1DYTJZ0jMIcaGrIyBa2IHT9+PLt27eLxxx9n+vTpd50npSQ5OZmdO3cyfPhwunfvzvbt20tTul1x584d4uPj8fDwyB4ntpRLly5lh5ZwcXGhZ8+e/PHHH+zcubPE7pV792phg01v7Y0aQRHlFUqXLv5ERl5j1arf+PzzBVSpUo1PP/3eonPXr19NWNg5Hn98ArVra15FpjFpW+Dqqj0MTdcw9XbyToTmh8EAMTH5D5EcPXqAn376hvvvf4DBg7WJc9M1TOlCY2K0sXiAq1dPMm1af3x8JtKmzZucOqUFlDOHlxf066f9Hzo5aW/tnp7alsNJq9RQk8V2REGuj6tWrSI+Pr7AcAhCCDw8PBg4cCCpqakWx4MpSVYze+bzzz/ntdde45VXXuH111/n1KlTVK1a1aKx7yFDhnDy5EmOHTtGq1at6NKlC97e3iXO8bxwIXzwAUyZAibno+vXrW8IBg58kvDwK/j5BbBnz2/UrGl5/sLVq7/g4MFdtG/fI9sQ2PJdMC2t4PSQzs7/9CLyGgWDQTuvoCGYc+dO8c03i0hLS2Hw4KeIjY3h8OE9eHtXo0aN7ri45L5ulSr34eFxjZgY+PVX7VilStCsGQQGJnHw4P+3d+bhUVRZH35vd/aEBAiIQEiQLQiIbAKiCA4IuIPKLuACCiI46qgog+AeN0RBRAQclggIKMIgDiLMpzJsCoIssicSTCAhZCEkJJ3c749blXSS7s7WW0i9z9NPd1Xdrvr1TarOXc49ZyrBwWlMnvwvsrPVw75WLe8YEnMHhiFwMvaiZqalpbF3795SrddvvvmGb775hnvuuYeBAwdWKCBYWTH7qzMffPABR48eZeLEiTY9gfR1Et9//z0tW7Zk/PjxDBs2jOXLlzs8b2xsLMeOHQPUOoR33nmnMGplVUlMVF4i27cXGYKMDBWArn79qk8O67z4ogoiZ7FY+Pzzbwsf6ICW2zkbHx/fwpAZf/55kl69mtO4cRRjxkyiW7dexb7jKfSRS4tFDf1UhI4duzN9+kc0b94agD/+2M/jjw+iR4+/MXToB+TnB9CwYUtUinVYu1Z55URGwo03qkxfzZvrq8CDGTx4ltN+V3Wkhtg792EvcU5kZCQdOnQodXzfvn18/vnnvPnmm4wYMYKlS5eW6zqxsbGMGTPGZu9j7NixNGjQgH379lXuR3gB69evZ968eSQlJdk8Pm7cOJo3b87+/fvx8/OjV69eZc4T6IZTj+v0119/lVqxXBWGDVPvO3YUH1s/eVJNHpeMb1NVfHx86N37dlq3Lkoyk5t7mTZtgmnXrshJYNMmtWbgzJl4xoyZxDPPvMo117Qs8/ynTh3jww9f4ciRA84V7gRatWrLQw9NomfP2wCoV68Bt912L9df352nnrqeZ5+9trCnk5IC+ijrE0/AwIEQHV08FEhZrFv3No8/fhUbNsx08i/xDgxD4GTeeOONUsHLHOUVuPvuu1mwYAEtWrRg+fLl7N27l8GDB9OsWTOaNGliM02j/kCzNxmck5PDuXPnShmJ6sRzzz3Hxx9/7DCByu23387AgQPJzc0lLi6OGTNmlKoraxytWM7Pz6/y5Hq3bmr9QGqqmii2Rp88rmq8t/T0CyQkxNmNOGqxWAgICCQgoGgFcWRkc8LC6tCnz90Viq767bermDVrBgsWvF810W4gOrod8+ev5eGHp9GkSTsiItoghGDTJpg2TfU6wsL+y4oVlXPCLyjIJyMjmfT0s05W7h0Yk8UuICYmhhdffBEocn1s1KgRW7ZsoXfv3vTp06ewrPUYf926dZk8eTKzZ8+2mXsV1KrbsqJHRkREsHv3bsLDw50SUdObsTU5L4RASllY96CMgK1FatZ8/vnnPPTQQ1XSM2oULFsGt90GjzxS+nhAgPIyadAAh6kT7fHFF58ydep4hgx5lLffXsCuXT/x00+buOmmPnTv3rvM72dkpJGQEEdISCiRkc0clv3ll22sWbOYv/3tLsxmM7feeofX5DI4cuQAZ8/+RcuWbWjYsGiYKzFRTdYDHDoEerqPqChJfHwkJlMiS5bkYDYXdQcOHfo/3nvvHtq168Mzz9he9X/x4gUslsuEhNTFx8eP//1vBefPn+auu/5RrE4uXUonKMg1UQaNyeJqxsSJEwuzjg0cOBCAV155hddffx0hRKEhKPkQO3/+PDNmzCDAgc9ZWUYgKCiImJgYri65tPUKY9OmTbzwwgucPHmyVCtfb9zEx8fz4IMPlnmukJAQLl68iKU8zuFl0LevMgT//a+ahB06VE086uTkqNfZsxAeXrSOwNqzxsen6JWbW5QPNy9PTT7Xrx9BQEAkR47A+vU/sGzZ65w9W0BwcG/MZuXR4udXdA4/P3V+f3/lNfTyyxMZMeJxXn75w2IxinT0TF0dO95Eu3Y96NevBadPn+Sbb36jbdvrMZvV8YKCoglf6/UNriI3V825SAmffvoJX389l+efn8Njj03EbIb8/HxSU/MAdf/s3Km+178/jBkj2L37Q+rViyplzHJyLpKdnUFenv2JipCQIkeCtLQkZs8eDkCbNr1p3vwGQEUr/fvfWxAe3oSpUzdjMpldZhScjUsNgRBiAPAhKkPZAillTInjzwBjAQuQDDwipXTcbKsGJCUl8cADDxR7GPfu3ZtXXnmFW265pXCfraEKKWVh1M2KYjabGTNmDFOnTmXUqFHV1otISsmqVasIDQ2lf//+NluhaWlp/Pbbb1W+VlBQEJ988gkjR450Smu3VSvo3VsZgs2b1VoBe9HAK5NLt0ePx+nRQ+UguHABmjfvy6BB+bRu3beE33sRiYlH2b37a1q1aktoaBOio69jxYrPWLFiAdu2pVOrVnDhAzYnhxIrcQXR0f3x9d3Nnj0ZlDXaqPd4/P1Vj6eqsQ/z85Xvfnq6cgfVBzBCQ6Np164vUjbl118hN/cEo0a1oEGDZsyceQIhQB846NlTGamuXe+zeY0OHQawYMEFm/GtbBEW1oA773yW1NQzhUYAICnpGLm52eTkZHLy5C/MnTuamJjfqF3b+xtlrkxebwaOArcBCagcxsOllIesytwK7JRSXhJCTAB6SykdhvirDkND9evXJyUlhbNnz3KVg+Ay9oKrVYagoCDGjBnD4sWL7Wb1qi5kZ2cTFBTkMPvW66+/zrRp06p0HbPZzOLFi51aNzt2qBWh8fEwfbpqzb/yijIQ7iA19S8+/vhBwsOb8MQTiwFYuHACmzfPA2D5ckl6+jmefroFFkseixal4+NTet7g++8/oVGj1rRureL5Ww+lVAR9sRUUPcT9/IpW2zrCYoE//ihfKO/z508zaVIUUnYDfiAs7DfS03tQty7MmVP13kp6+jlWrZrGH3/8xHvvHSp2bPfurzl2bAd33vksgYGhJCfH8dln4zhy5GdeeGEjHTo4J3hkdR0a6gocl1Ke1ESsAO4FCmtRSrnVqvwOoOx+fDWgUaNGpKSkFEaFbNCggc1y9oKrVYb58+eXO3yzt5OXl8fgwYPtGsnY2Fi7k+8VoaCgwGX1EhWlFiOtXQtffAEvvaQegK7mxImdHDq0lejomwv3PfDAK2RmptCv35MAhIVdxWuv7eLo0W34+PiRk5PFnj3rSUtL4o47/s6lSxksXvwUBQX5zJt3tlhY5oqix+QpiRBFBiI4WH3Oy4Pc3DzWrp1Ply53EBBwjc3FZLaoWzeC2Nh85s49x88/B5GermIxdOlSZATOnj3Bjh2rCAqqTZcu9xIW1oBLl9IICSl7oYfJZGbLlgXUq1faK/DUqT2sX/8OWVkXGDduPo0bt2bgwKlYLLm0aNG1fD/Aw7iyR/AAMEBKOVbbHgV0k1I+aaf8HCBJSlnKqVsI8RjwGEBkZGRnZz08XUm/fv34/vvv2bhxIwMGDCAuLo7k5GSioqIKewmxsbGMGjWqyr2CqKgo4uLiyhW++UqgadOmTjGger198cUXLFu2jOHDhzNq1KgqnVPvEYAaa3/qKdWiDQ2FkSPBamSwUjz/fHt8fPyYOnUzwcFq3CUx8SiJiUdp2/Zv+Pr6c+LEbiyWXK69tnwXO3/+NE8+GYm/fzCffXae7OxMNmx4j7S0JCZM+FdhuaysNMxmHwICQuyfrIr89NNS5s4dTb16UcyeHWe3nJTS5lDetGkFHD9e5Az5z39C27bq8759/yEmpnjrvH37/vTv/yTbt6+kU6e7ufHGIXavuWvXV2RmnqdPn3FAUbiNEyd2sW7du4wfP4/atcML40aZTEUxpKzjSOn79XhSoN6tF6+ZTKpHdPlykadZcLD9kCXlwesni4UQDwJdgF62jksp5wPzQQ0NOfv6rlid26tXL2rXrl24WvX9999nzpw5fPTRR0yaNAlQi762bdvGvHnzHBoD3QvGFtauqeUJ31wVvGUVs71FexXBut5OnjzJxo0b6dSpU5XPW/wa8OyzsGQJnDoF8+apm9/O4vIysVhyOX36d0wmM4GBResEPvjgfk6fPsCbb/7KNdd0spl4xRHh4U249dZHadToWvLz8wgNrcfw4cWm81i0aCLffz+XCRMWc8stoyv3A8qlJVJ7d7zg7cUXO/LXX38wY8Y2mjXrDKgeRVycCSHg+efVnIK193FkZHtuv/3v/Pnnfg4eVPmbU1LiSEj4jZ9/XkZERCR16gwpnATXA8TpE+IdOtxXGCJD3wdwww1dGTZslfMrowSuDGvhSkNwBmhitR2h7SuGEKIvMBXoJaW0sxjddbhqde7UqVOLbTdp0oQuXbqU8uaZO3cuN910U6F7Y8mHfskxfkcP4zfeeMNmnCNnDKO4cxVzbm4uBQUFdr2n7Bk8RwYTlHdQVlZWqXobMmQIHTt2pGXLshdZVZTWreGNN2D9eli+HD7+GDZsUGGq77qrYkHJzGZf5sz5k/T0c5hM5sL90dE9qV27cZVCRTz22AJADZfZam2HhzfB19ff5X70LVp0Y86c04SF2Z9bKyjIJzPzPBZLHo0aRRfqfu21f2CxzCQiAmxFGqlXryHPPfcBfn7g51dAYuJh2rVrw7FjB+ncOZJWrdoSHe2837Jx4xp+//0XnnzynwQFBZf9BQ/iyqEhH9RkcR+UAdgNjJBSHrQq0xFYjRpCOlae8zp7stjeMEN4eDghISEVbv3u3LmTkSNH0qtXLxYuXFhhPVVtdcfGxjJlyhTOnDlD/fr1mTlzplMe1PbqSR9ecSarVq1iyJAhDBkyhJUrSwdTsxfYb8yYMXz77bfFEpakpqa6tfdy+DBYL+j+97/fY//+TTz33HrWrfPnq6+KuvqhoSqeDUDjxmgukKrlV6uWeqWkqAVqly6psfbsbNXT0GPx+PmpIYQLF0DKAszmHOrWhQYNgggNLfLcadQIrruuuCtrSbKzM/noo4fx9X2ELl3uoFmzIldSk+kSAQE+BAT44e+vj+erQGy6O6nupuqK+DwFBfDrr3D6tPp8/rwkKyuHFi0Cuf56NSczZszL5Oa+Sp063zJ0aDK9ehUPNX7ttc5NGVoWAwa058iR3/nqqx107Nityufz91ehqyuLR4aGpJQWIcSTwH9Q7qOLpJQHhRCvAr9IKdcB7wIhwCqtBfKnlPIeV2nSsX7Y2jOEeo4AqFjrNzk5mRMnThAdHc3ly5e5dOlShYKZjRw5skoPrJEjR9K0aVNuvvlmmjdv7rSHn73hGGcM05QkJycHX19fgksG89fQf5M3DFOV5Kqr1MNW93SJjX0OgN9/38z999/JHXeoFcarVqnImHpysTOl+sr2sTX5qjCRnx9EcrIaFimJry907w6dOytj9ccfasw5IgKOHIHs7DwOHPgQi6WxjeQn5Vv9FhQE11+vDE/t2sp1syJDGjExt5OSEs+kSSuIimrPiROwZ49aE1C8jgQQyO7dqqfVvDmEhT1DcjJcuLCKffuyCw1BrVpqxXdYGKSknOPo0QNcfXUEzZopV641a5bQrl0noqPLzm5XEYYMeYS0tFTCw70/I1yNW1lsqzVZXsrT+s3Ozub06dNs3bqV8ePH07dvX7eHk46Pj2fChAm0b9+emJiYsr9QDtzZIwA9kUg+PhUJCFNJjhw5wtatW2nZsmWxVd+V4fx5Fd748GHVcj11ai/p6Um0b9+v2HBOQYGaVPbxUb2AxMSiBDCXLysDkZmpFp3Vq6cesH/99SPHj39Py5b9adPmZvz9VavcZFIRTk+d2s2PP35D797TuXjRl4wM1aJPTS2Kd1QeGja8TMOG/iQkqIeo2ax6IhaL6glcvqyMip+f2p+frzToeQOsufpqtcq6oECVFUL9puuvtx2VddKkpqSkxNO0aUduvfUHPv+8qBFVr54KGOfjo1wpzWY4fhx27SqeO2DgwGW0alWXjh3voEEDuOaaomNDhtzC7t0/0bRpC7ZuPcauXT8xdOgtXHddZz79dG2xVcrehit7BDXOEFTF46Qi3jd79+6la9eutGrViqysLOLj4zGZTEyePJkPPvigUtf3BHrvyVadVcc1CrZYsmQJY8aMYdSoUSxZsqRK5zp/Xj3ApVTDNSVjDlWF5ctfZN26GAYPfo377vtnhb+flKTyJezfr3ouPXqo7exs5VljNivPlK5dbQdkW736FXbsWMmIEe/QqZPttKpnz6reRkaGasUnJNjW4usLN9+sHm4REWoCPSMD/vornXffHUhBwQ2YTDEUFJjo3Vv1Yjp0ULpmzOiJn18g48d/Tt26jcnNVQv4NmxQxmXatKLhqfbti4fyOHr0IE8+OYSpU2fSq1d/cnKymTJlLJs3r2P16v8VC+DnbVTLoSFvpayhDLPZbDf4WEW8bw4ePEhoaCiHDhUtPikoKGDWrFlcvnyZuXPnlvtcnsJR7ykiIoKYmJhqbwQAoqOjefzxx+nWrerjuDpCoI3VU5glq6rccMNAwsKuolWryrkdXX013HefeulUJHVxZmYKZ84cJjHRvnVr0AD69VOf771Xxf4/e1Y9wAMDVc8gPh727oWtVquIFi7UF5yFAepAQYGaULf+F8vJucjRo9swmcyFieb9/NQ19euGhqqhuZCQ0vGcWrVqy6ZNhdOUBAQEMmtWLPn5+ZjNZpxJfn4+J078QWpqCt2723SI9BqMHoEVZblplqf1u3LlShYvXsyWLVvsrooVQrB06VKXPkSllKSlpRESElLpwHOO6urHH3+kZ8+eVZFol9dee42ff/6ZKVOmVDljmLvRewSgUkquXLmQEydO0KPHSIYNe5PTpw+yYsWLtG7dk7vvfs6zYivI2bMnyMm5SIMGzau8luDUKfj9d/V5zx41RxEaqvI2gJo8b99eDQVZTz5LKUlNPUNi4hHatbM9jNeqlTI8FovzkwJVhMzMDNq3DyMgIJBDh7KqHMLE6BE4EXsulv7+/lxwkERWX6ELjieMN23axMaNGx1qkFK6fLXvjTfeyM6dO9m5cyddu1ZudaOj3pOj0BlVITY2lrfeeovs7Gz27NnDrFmzqm2vY/PmdezYoVq3J0/+gL8/nDlziD171rN377+54YZBXH11Cw+rLD8NGjQvu1A5ueaaorH7e+5RcwunT+9ky5b5tGlzKz172g4yIIQgPDzC4TqDWrXKDl/hDmrVCuW66zoTGlqH7OxLXu1CWuMMgf5QGTduXGFwt8DAwEIPIUeUx3to+PDhLFq0qMxzucLbxpq6detSq1YtMvXmaSWw568fFRVFtDMdrjX0oSj975KSkuKWjGuXL18mJSUFs9ns1KitI0Y8TkREU4KCQujVawCtW0Nm5s3Urt2QtLREfvllLXfdZSciXQnS0s6yd+8Gmje/gchI7x3Hrig5OVkkJBygadNOxMf/xn//u4jU1ARMJjN16jSkTZvehWXz8y2YTGaHLevAQO8wAjrr1nl3XDSdGpuYxnrS9/z58+Xutln3DGzRt29foqKiyjyPs1b72mPdunVkZGRUyQvm9ddfL5XIxMfHxykL1GzhKFaSK9m+fTsREREMHz7cqeft0eNvTJnyNpMnT+P662/A3x9uuaUhL7/8Lt27D6BevYhi4QcccfToNubPf5Tly5/DZFITu35+6t3HR03yBgWp4QNXhYMuKChgzZpXmT9/rNNClrz0UiemTevOmTOHadOmN48+Oo/w8EjmzBnB999/UqzsDz/M5/nnr+PXX9fbPV+tWnYPGTigxvUI9u3bx7hx40qN31dkrqSs1ryt4SdrnLXa1xHOcLu85ZZbyM3NLbYvLCyMc+fO8csvv3DkyBGn+vK7c62CNcHBwTRq1KhUPmlXMWjQSAYNGlkYw19K5ZKpu4/m5xe5avr56Q/3+tx99zA6dOhGeUb6LJaiV16eciNNTi7u3qkvYLNGiKJx6IsXi0IpWCwgpYlNm2aTkZHC6NGvUr9+I22/Ki+lciEt7620fPmUwonnnJxMoqLa06hRNCdPduHSpXSio4tPivv755CQcJC6dXNo3VrV1cWLal5Gdx/1RkMgpcRisXh1kqgaN1m8dOlSRo+2HyvFkdeQjiPf+c2bN+Pv78/JkyeZPn26R1e5VpW4uDhGjx7N9u3bSyVt8fX1xWKxlDKgwcHBBAQEkJqaavN3g/2FYO5eq+AK9Mni+PgT7Nu3i7ZtO3H27BkOHfqN2267l61bv6VOnXAGDLgPf/8KxJdwEhkZyq21Vi3li5+SooyQHglUXx1sj8WL5+Dn58+ddw4mNLR0sgF9lbNufOwk2gPgpZe6cOrUr0yf/mNhuOuSBAaqxWmhoWA2W3juuYd5551FpR6qFy+qVcfNmtlfwBYQUPTbTKaiAHB6r0zvSen/0nrPC0r3sko+NvXtggJlXPXtRYs+46WXnuGhhx7jzTffLywjZdGr5DmE0Fdzq2EuvZze86ssxjoCKxISEujYsaPNVJDlMQKOvIdiY2MZPXo0BQUFHnev/Omnn3j55ZcJDg7mwIEDlW61OyvSJyjjIYQo1svQPbXs1b071iqUTBcK5TdeJb/fpEkkU6e+QVxcAm+9NYWhQ8eSkZHGxo2rmTlzKc8//zAWi4XDhy+Rnn6B2rXDbWYJu1JITlYrofUhLFDrFlJTISnpOHFxe+nQ4XYCAkLYuXMN/v7BtGnTCz+/QHx8oF27isVjKokerkPFF3LOb6oIy5cvZ8SIEQwfPpwvvvjC/QKsqPGGwHpRlP7AsecqWlbgMj1nsHU5W/vAswuupkyZwttvv+2wjK5br5OoqCjuuOOOwng9zsyXUBn0nMOuNgKOhvHsGa/x48dz00038dRTT5VyNAgKCmLixIns3/87Q4dOICXlPAcP7qV//0H83/99x4UL54mLO8auXT+yatXPdOnieF1ATk42p04do0WLa716eKEiZGWpBW5CKEORlJTIU09dQ17eZRYsSKF+/RACAs5RUJDGjBmTGDz4Ee6/v3xRT62HvBo18owB0MnKyiI3N5fatWt7PN9zjTYElQkpUZYxqAieGNaIjY0t5hVVHXFF9jBbOLPHY43+d7dYVOrHElMtPP30KLZu3cC77/6L225zHF7r229XM3HiYDp27M5XX213utaKkJ4CQ/VPAAAS70lEQVR+gZkzX9aifX5ss8zvv/9K3br1ady4fA4R9913I3v37mDw4LFcvJjG3Lmr6NatEefOJTJkyKN8+eVChgx5lLffXlCu89Wrp4ao8vNVOAsDRY1eR2DLE6UspJRERUXx559/YjKZyhwucoSrJzptMXXq1GptBECtynSH66ir/j76eX18VKvUYoH4+EuYTIEIIYiJWYCfn19ho+Pdd18iNLQ248e/AMDOnT+SkHCK++8fQ716DWjQoBH9+g10idaKcPjwPpYsmQPACy/EEBJSi8uXc4rNd0yZMpZDh34r1ts5eHAvjRpFUqeOejJPmjSMnTv/j+XL1ToLk8nE0KEP06nTjQBcfXVjhBAMGzaWbt160bJlG8pLQICq92rWxrWbbMcdXPHuo5W50fXWXEFBQZXd5FztJmoLTxgfV+AO11FX/X0allgCajZLbr+9Ay+++DBC5OHv719402dlXeSTT2KYNWsGyclJHD16kGHDerFmzWIuXDhP1649+e673xk3rnxrDlzJDTf05OmnX+WTT9YQHBxCfPwJ7r33Br777itAuZg2bNiE8PCraNtWpdPKzc1lwoT7GTasF6mpKVgsFn74YT3JyUkkJMQxe/ZKDhzIpHPnHoV1snbtLnbsOEPHjt25775RXHdd53Lp8/Epmovw8EhMIY899hhCiML7csuWLbRp04bPPvussMynn37Ktddey86dOwv3ffTRR0yePJnTp0+7XOMVbwjKutFLWuCSrp1VeVC4w03UFq40PkElg7egPIVMrghCj+uNmqv+PmazuVgj4tixYxw7doyVKxeza9daGjZUE5n+/uDrW8Cjjz7NnDkruOqqBkRHt2XgwAdp0aINdeuq1If169clONhMUFCR90tQkPKqCQwsyl8QHKyO+fq6Ji+A2Wxm8uRpDBhwH0IIFi78gPj4E0yZMpYTJ45gMplYsGAdu3cnERio/lfi4o6RlJRAZGRzatUKw8fHh/Xr9zBz5lJ69uxH48aRhWV1KtsyrsrEsqs4fvw4AEe1CITp6ekcPnyYmJiYwv+Rc+fOceTIEd55553C761evZrZs2dz8uRJ14uUUlarV+fOnWVFWLZsmQwKCpJAqVdQUJCcMGGCjIqKkkIIGRUVJZctW1bu7zt6mc3mUudyF5XVXNZLrx9b9eXKa7qa8PBwp+mtXbu2fPXVV2Vubm6p65w+fVquWLFC5uXllanp4sUsuWHDd7KgoOq/z2KRMjtbyuRkKePipDx1Sr0nJqrP1q8//5QyM1PKjAwpz52TMiVFvZKTpTx7VsqkJPW9pCS1nZgoZVzcZblt2zGZkFAg4+NLn/PIkcty9ept8tixvFLHyvuKj5cyLU3KnBz1W3JzpczLk/LiRaVD/12ZmVWvL2ezd+9e+f7778usrCwppZQXLlyQe/bskSkpKYVl4uLi5Pbt2wvLSCnll19+KWfNmiXj4uKcogOVB8bmc9WlD21gAHAEOA5MsXHcH1ipHd8JNC3rnBU1BFLKwoeX/oC2fqhV9vtCCLsPg6CgII8ZgZKahRAyPDy88GFnrdtkMpX7AVee32RdTyXrR9+2V3++vr7Sz8/PI/XoDCMmhJATJkxwudaqkp+vHp66LcrJUdsWi3rl51ft/AUFUmZlKUOSklK5h771KzFRaSzLIOblKWNVDhtbY/GIIUBlJTsBNAP8gH1AmxJlngDmaZ+HASvLOm9lDIGrsddKri7YMnS68ajsbyqrTmwd92Q9lrx2nz59Shkr6x5kZRsVNY2MDNViT0mRMjVVvc6eLX8vwGLxmPQrDkeGwJU5i28EZkgp+2vbLwJIKd+yKvMfrcx2LcdxElBfOhDl7JzFBgb2qGr+aAP7ZGdDWpqa0NXDa1jj66tCSAcGekbflYin3EcbA9bT3QlAycwfhWWkynGcDoQDDhamGxi4h6rmjzawjz7JDSocRXq6mujVg+a5IUOpgRXVorqFEI8Bj4Fn3DENDAxch6+vWgRm4Dlc6T56BmhitR2h7bNZRhsaCgNKJQaQUs6XUnaRUnapr6cwMjAwMDBwCq40BLuBlkKIa4QQfqjJ4HUlyqwDxmifHwC2OJofMDAwMDBwPi4bGtLG/J8E/oPyIFokpTwohHgVNXu9DlgILBVCHAdSUcbCwMDAwMCNVLugc0KIZMBdITHr4Z0T14auiuGtusB7tRm6Koa36oIibVFSSptj69XOELgTIcQv9tytPImhq2J4qy7wXm2GrorhrbqgfNqu+FhDBgYGBgaOMQyBgYGBQQ3HMASOme9pAXYwdFUMb9UF3qvN0FUxvFUXlEObMUdgYGBgUMMxegQGBgYGNZwabQiEEGGe1mALIUQtT2uwhbfWF4AQoo6nNdhCCOGVWXON+qo4V/J9WSMNgRAiRAgxE/hKCPF3IUQHT2sCEEIECyE+BtYIIUYIIa7xtCbw3voCEEIEaXX2nRBikhCio7bfo//bWp19AGwQQrwuhLjVk3p0jPqqODXhvqxxhkCrrE1ALjAdtdjiCY+KKuJVIBR4HegIxHhWjtfXF8AzqIi1Y4AA4FMAKWXVkk1XASFES+BrIB94BEgGXvKUnhIY9VVxrvj7ssYZAiAd+ERKOUVK+TPwE5CvWX23p7vWgu0hhAgBagFvSil/BN4ATEKIf7pbUwm8qr4AhBAB2rsPKunRF1LKP6SU7wLJWsvSk63cLGC+lPIfUspDwLdAohAiwhNijPqqODXtvrziDYEQoqUQ4nl9W0p5CtX60LkEtJJSZrkz4J0QorUQ4nPgVSFElJTyIlAHGKHpTAPeBh4QQlztRl1eWV+atlZCiFhgthCii5TSAoQAN1oVGw+MEkJEuKuVK4SIFkIUZh2XUv4FbLQqEgS0llImuEOPlS6jviqurUbel1e0IRBCjAC2AM9pOQ0QQpi1P65OM+Cgm3WFA58DB1AB+d4UQvQFXgSGCCH0eCD7gf8Cd7pJl1fWl6YjEDWMsQ9VLxOFEI+ibsrxQoh6AFLK08AyYJybdN0JfAX8QwgxRdvnU6LO6qJyd7sNo74qpa3G3pdXtCFAZUUbA9yD+ucPklLmC4X+25sBewCEEPcKIaLcoKs1cElK+T7qn2wjMBT1z/cV8AGAlDIXNW6a7AZN4L31BdAcyJJSviOlnA0sAAYBgcAnFF80c1T7Lbhh+OosMBJoBbwghAjRIu+arK7dBu0m1SYbW7lYExj1VRlq7H15RRsCbUzvJynlduB3YIZ2yGTVDb4OaCKEWAc8CFjcIG0P4C+E6Kzp2IZK2TlI09hdCDFeCNEfuAVwS5fdi+sLKeUBoKkQ4hZt137gB+B5YCpQVwgxXQgxBBgLZGvfc+nwlZTyF+APKeVx4DtgnnZIWF37ZqC+EOJr1EMwz5WaNF1GfVWcmntf2stqX51eQFiJbWGjTDutEq+z2lcfFZ71f8BQF+iqA/iW1IXyQHgJeN3q2L3ALO3zTcDTwA5gpLt0ebq+tGv42dhn0t4nAcus9ndA5bSoh2phjkZ5UriizkrpsvN3TQNusDrmj3oI/woMcYGu2oCPtRYvqa9SuryhvrRr1AWC7Ojx5H1pU1eJMi65L51eye5+Af8EfkO1coZq+8x2yr4KLNQ+d9XeH3KRrunAn6gu+GQbx/tqN+Vd2nYr4BcgwMX15VCXp+pLO/fbqGGLa7RtUeJ4C2ANMEbbDkclPrraxXXmUJf1/xwwDdiqfR6gvQ90ka6XtYfCPOBJax0eri+HujxVX9q5/wkcAhYBU2zUmafuS4e6SpR1+n3psh/mjhcqof16VD7kjqgxuxYOyvuiLOdF4DW0lpMLdPUANqNaGB2AY8BNJcqEolpke1B5mx9AeQHUc2F9lanLQ/VlBp5FTRAuAB5xULYfcALoBAwBtgKRXqDLusVrATKBD7HqeTlRV22UIf8CNTbcE0jUH/AltLizvhzq8lR9adcIQxnz5drz4npUzvRa2nG9F+XW+7IsXXa+4/T70uk/zNUvIFR7NwPvAIOsjm0GNtj6p0N1n9ahcinf7CJteiunG7AKrRUB/B1YDDS28Z1pwFJUC+pGb9Dlrvoqcc0oVIt1NPA+0EXXYqPsBOAj1PCBXUPmAV31gM+Ava7UhZrwvbvEvkVAfzvl3VJfldDllvrSruWL1qPTtu9F9VhKGU9t2+X3ZXl0lSjrsvvSZRXvggqro/3T6DP5AajW2krgatSij1koa9pH+47J6vt+aF1PJ+sKB+Zi1coCbtX2tdB1AP8GRmjbZoq3iIK8RJfL68uBNl/tPQI1FPMMEKjtE9bveh16iy6rsj6ueKDZ0RVi9bmW9mC4psT3PFFfZepydX3Z06btN2nPj3hUS/xnioakPHJflkOX659jrvgjuOgP+6n2uhX1wP9M2/8Zyg/6kFaRE4HYEt8t1XpzkqY2wPcor4aFVvt9gNWoVmSQtm8ksMNNdVUlXa6qL0faSpS5H9WC7efG/6/qrKsuygPHJcMq1UlXebQBzaw+Pwgcrg66XHlfVgv3UaGi/vkCb0gpt6ImSyKEEGOllONQk1O3SylXAudRkzuFPtFSq0UXkA68ghrnu1kI0VO7ngVlnO4A9Fyhq4E44Z4InlXS5cL6sqsNivmw/4Ca0G4nhJgshBjqQj3VVpcVzYBMKWWeEOIBzb2xpuqyq033uZdSnrQq+yXwpxDiKm/X5cr7sloYAillJmqs9n5tOxXVTX9CCBEmpTwppYwXQjQHHgVStXKufKAhpTwD7JVSXkJNks2wOrYW1S2eIFRckm+BDClluis1ebOucmiTQggh1TL+TGAKMBm4YOgqrcuKPij/90XAP9DWBNREXY60Sc3nXjfsQgW7+xI4JqU8V1N16eK8+kXRROfNqNWGwdp2AGosbZi2PQj4A3jWg1p/BR612vYD2gPvobnRGboca9P2RaHGSr3mb+nluj5GLXx63NBVtjZULKOn0EJvGLq8aI4AteLxQe2z9YSNiaLJwqWoiHv6sTnAbdrnxrjA19eRLqvPPtr73ahhKRNwH5o3Di4Y2/NWXU7Q1kjb72/oKlPX/aggct1xzcSmV+pygrYwVAgOb6szl+kqU7e7L2ij4mqhWqbJqNZWmNUx64psgvLxjQMeQgV8+hXo62FdrUp87wAqrO43QIOaostJ2tZ5aZ15q65/A/Vrii4naVvvpXXmEl3l1u+xCxdZRTNwp/Z5KfCedeWh3PaWA99o231Q443bgfu9QNca4CqUD/UzwEng3pqiy5u1GbquDF3erM1bdVX4d7j9gsqF8T3UKsJ+eiVq71HAKaCtVfkHgOergy6s4n9c6bq8WZuh68rQ5c3avFVXZV+6tXIL2qz4x6ghno2oIZ61wAIp5WWtTAwQLaUcZOP7Zillvhfq8pHKNbNG6PJmbYauK0OXN2vzVl1Vwp1WB1Vx/6Movkd/lEV90KqMH2rW/EagLfA3bb8rFzkZuq4QbYauK0OXN2vzVl1Vebl1HYGUMoOiyV5Q8b73Aj2ElvZNqqQPS7Rja1DxNZBaLRq6PK/Lm7UZuq4MXd6szVt1VQVPLCj7GugghGgoVaq1/UAO0BBACNEblTbvLSllaynlD4Yur9TlzdoMXVeGLm/W5q26KoUnDMHPqBCqDwFIKfcAXVGLKUAtQOkppZxq6PJqXd6szdB1ZejyZm3eqqtS+Lj7glLKRCHEN0CMEOI4KtxBDioHKFLKE+7WZOi6srQZuq4MXd6szVt1VRpPTExow2S3o2KV/4GHwxwYuq5MbYauK0OXN2vzVl0VfbnVfbQkQghf1PyJV7lSGboqjrdqM3RVDG/VBd6rzVt1VQSPGgIDAwMDA89TLcJQGxgYGBi4DsMQGBgYGNRwDENgYGBgUMMxDIGBgYFBDccwBAYGBgY1HMMQGBiUgRAiXwjxmxDioBBinxDiWT3huIPvNBVCjHCXRgODqmAYAgODssmWUnaQUrYFbkMtIppexneaAoYhMKgWGOsIDAzKQAhxUUoZYrXdDBVSoB4qCclSIFg7/KSU8n9CiB3AtagEJYuBj4AYoDfgD3wspfzUbT/CwMABhiEwMCiDkoZA25cGRAOZQIGUMkcI0RJYLqXsokWf/IeU8i6t/GPAVVLK14UQ/qjwxIOllKfc+mMMDGzg9qBzBgZXGL7AHCFEB1TAsVZ2yvUD2gshHtC2w4CWqB6DgYFHMQyBgUEF0YaG8oFzqLmCs8D1qDm3HHtfAyZJKf/jFpEGBhXAmCw2MKgAQoj6wDxgjlTjqmFAopSyABgFmLWimUAtq6/+B5igBShDCNFKCBGMgYEXYPQIDAzKJlAI8RtqGMiCmhyeqR2bC6wRQowGvgOytP37gXwhxD7gX6ictk2BPVry82RgoLt+gIGBI4zJYgMDA4MajjE0ZGBgYFDDMQyBgYGBQQ3HMAQGBgYGNRzDEBgYGBjUcAxDYGBgYFDDMQyBgYGBQQ3HMAQGBgYGNRzDEBgYGBjUcP4ftDknFblwJYIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "66906da7996342679c3d33efd888e674",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 2.4935595989227295, 'log': {'agg_test_loss': 2.6074419021606445, 'agg_test_loss_p': 2.4935595989227295, 'agg_test_loss_kl': 0.11388201266527176, 'agg_test_loss_mse': 0.05809636786580086, 'agg_test_loss_p_weighted': 0.4679461121559143, 'agg_test_score': 2.4935595989227295}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.821728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.014804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.049933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.539386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss               3.264200e-01      0.908300        1.405925   \n",
       "agg_test_loss_p             3.264199e-01      0.899200        1.398106   \n",
       "agg_test_loss_kl            1.415805e-07      0.009100        0.007818   \n",
       "agg_test_loss_mse           5.554044e-02      0.052031        0.050875   \n",
       "agg_test_loss_p_weighted    6.167767e-02      0.172292        0.257106   \n",
       "agg_test_score              3.264199e-01      0.899200        1.398106   \n",
       "n                           1.000000e+00      1.000000        1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               2.607442             2.559804   \n",
       "agg_test_loss_p                             2.493560             2.559563   \n",
       "agg_test_loss_kl                            0.113882             0.000241   \n",
       "agg_test_loss_mse                           0.058096             0.051622   \n",
       "agg_test_loss_p_weighted                    0.467946             0.454760   \n",
       "agg_test_score                              2.493560             2.559563   \n",
       "n                                           1.000000             1.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  \n",
       "agg_test_loss                    2.821728  \n",
       "agg_test_loss_p                  2.806924  \n",
       "agg_test_loss_kl                 0.014804  \n",
       "agg_test_loss_mse                0.049933  \n",
       "agg_test_loss_p_weighted         0.539386  \n",
       "agg_test_score                   2.806924  \n",
       "n                                1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'anp-rnn_no_det', 'params': {'use_deterministic_path': False}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=anp-rnn_no_det, trial=<optuna.trial.FixedTrial object at 0x7f8d71352cc0> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_no_det/version_-1000/_ckpt_epoch_7.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f1bd33a2039448ce85b42964d95633e1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.5305460691452026, 'log': {'agg_test_loss': 0.583978533744812, 'agg_test_loss_p': 0.5305460691452026, 'agg_test_loss_kl': 0.05343237519264221, 'agg_test_loss_mse': 0.05066785216331482, 'agg_test_loss_p_weighted': 0.09943656623363495, 'agg_test_score': 0.5305460691452026}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.821728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.014804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.049933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.539386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  anp-rnn_mean  \\\n",
       "agg_test_loss               3.264200e-01             0.583979      0.908300   \n",
       "agg_test_loss_p             3.264199e-01             0.530546      0.899200   \n",
       "agg_test_loss_kl            1.415805e-07             0.053432      0.009100   \n",
       "agg_test_loss_mse           5.554044e-02             0.050668      0.052031   \n",
       "agg_test_loss_p_weighted    6.167767e-02             0.099437      0.172292   \n",
       "agg_test_score              3.264199e-01             0.530546      0.899200   \n",
       "n                           1.000000e+00             1.000000      1.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                   1.405925                    2.607442   \n",
       "agg_test_loss_p                 1.398106                    2.493560   \n",
       "agg_test_loss_kl                0.007818                    0.113882   \n",
       "agg_test_loss_mse               0.050875                    0.058096   \n",
       "agg_test_loss_p_weighted        0.257106                    0.467946   \n",
       "agg_test_score                  1.398106                    2.493560   \n",
       "n                               1.000000                    1.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  anp-rnn_pt_mean  \n",
       "agg_test_loss                        2.559804         2.821728  \n",
       "agg_test_loss_p                      2.559563         2.806924  \n",
       "agg_test_loss_kl                     0.000241         0.014804  \n",
       "agg_test_loss_mse                    0.051622         0.049933  \n",
       "agg_test_loss_p_weighted             0.454760         0.539386  \n",
       "agg_test_score                       2.559563         2.806924  \n",
       "n                                    1.000000         1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'TransformerSeq2Seq_PL_lstm', 'params': {'use_lstm': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.transformer_seq2seq.TransformerSeq2Seq_PL'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=TransformerSeq2Seq_PL_lstm, trial=<optuna.trial.FixedTrial object at 0x7f8d6d01f550> params={'learning_rate': 0.002, 'attention_dropout': 0.2, 'hidden_size_power': 5, 'hidden_out_size_power': 4, 'nhead_power': 3, 'nlayers': 2, 'use_lstm': True, 'agg': 'max'} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'patience': 2, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/TransformerSeq2Seq_PL_lstm/version_-1000/_ckpt_epoch_4.ckpt\n"
     ]
    },
    {
     "data": {
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\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": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "541f113ba82447b3bea636636f9b83c6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=57.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.6033954620361328, 'log': {'agg_test_loss': 0.6033954620361328, 'agg_test_loss_p': 0.6033954620361328, 'agg_test_loss_mse': 0.04706025496125221, 'agg_test_loss_p_weighted': 0.11429975181818008, 'agg_test_score': 0.6033954620361328}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.821728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.014804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.049933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.539386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss               3.264200e-01             0.583979   \n",
       "agg_test_loss_p             3.264199e-01             0.530546   \n",
       "agg_test_loss_kl            1.415805e-07             0.053432   \n",
       "agg_test_loss_mse           5.554044e-02             0.050668   \n",
       "agg_test_loss_p_weighted    6.167767e-02             0.099437   \n",
       "agg_test_score              3.264199e-01             0.530546   \n",
       "n                           1.000000e+00             1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                                    0.603395      0.908300   \n",
       "agg_test_loss_p                                  0.603395      0.899200   \n",
       "agg_test_loss_kl                                      NaN      0.009100   \n",
       "agg_test_loss_mse                                0.047060      0.052031   \n",
       "agg_test_loss_p_weighted                         0.114300      0.172292   \n",
       "agg_test_score                                   0.603395      0.899200   \n",
       "n                                                1.000000      1.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                   1.405925                    2.607442   \n",
       "agg_test_loss_p                 1.398106                    2.493560   \n",
       "agg_test_loss_kl                0.007818                    0.113882   \n",
       "agg_test_loss_mse               0.050875                    0.058096   \n",
       "agg_test_loss_p_weighted        0.257106                    0.467946   \n",
       "agg_test_score                  1.398106                    2.493560   \n",
       "n                               1.000000                    1.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  anp-rnn_pt_mean  \n",
       "agg_test_loss                        2.559804         2.821728  \n",
       "agg_test_loss_p                      2.559563         2.806924  \n",
       "agg_test_loss_kl                     0.000241         0.014804  \n",
       "agg_test_loss_mse                    0.051622         0.049933  \n",
       "agg_test_loss_p_weighted             0.454760         0.539386  \n",
       "agg_test_score                       2.559563         2.806924  \n",
       "n                                    1.000000         1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'TransformerSeq2Seq_PL', 'PL_MODEL_CLS': <class 'neural_processes.models.transformer_seq2seq.TransformerSeq2Seq_PL'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=TransformerSeq2Seq_PL, trial=<optuna.trial.FixedTrial object at 0x7f8d6eba9d30> params={'learning_rate': 0.002, 'attention_dropout': 0.2, 'hidden_size_power': 5, 'hidden_out_size_power': 4, 'nhead_power': 3, 'nlayers': 2, 'use_lstm': False, 'agg': 'max'} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'patience': 2, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/TransformerSeq2Seq_PL/version_-1000/_ckpt_epoch_11.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "73868530b2a84b5c90722e55e5a94c83",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=57.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.6008006930351257, 'log': {'agg_test_loss': 0.6008006930351257, 'agg_test_loss_p': 0.6008006930351257, 'agg_test_loss_mse': 0.0445558987557888, 'agg_test_loss_p_weighted': 0.11382939666509628, 'agg_test_score': 0.6008006930351257}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.821728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.014804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.049933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.539386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss               3.264200e-01             0.583979   \n",
       "agg_test_loss_p             3.264199e-01             0.530546   \n",
       "agg_test_loss_kl            1.415805e-07             0.053432   \n",
       "agg_test_loss_mse           5.554044e-02             0.050668   \n",
       "agg_test_loss_p_weighted    6.167767e-02             0.099437   \n",
       "agg_test_score              3.264199e-01             0.530546   \n",
       "n                           1.000000e+00             1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                               0.600801   \n",
       "agg_test_loss_p                             0.600801   \n",
       "agg_test_loss_kl                                 NaN   \n",
       "agg_test_loss_mse                           0.044556   \n",
       "agg_test_loss_p_weighted                    0.113829   \n",
       "agg_test_score                              0.600801   \n",
       "n                                           1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                                    0.603395      0.908300   \n",
       "agg_test_loss_p                                  0.603395      0.899200   \n",
       "agg_test_loss_kl                                      NaN      0.009100   \n",
       "agg_test_loss_mse                                0.047060      0.052031   \n",
       "agg_test_loss_p_weighted                         0.114300      0.172292   \n",
       "agg_test_score                                   0.603395      0.899200   \n",
       "n                                                1.000000      1.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                   1.405925                    2.607442   \n",
       "agg_test_loss_p                 1.398106                    2.493560   \n",
       "agg_test_loss_kl                0.007818                    0.113882   \n",
       "agg_test_loss_mse               0.050875                    0.058096   \n",
       "agg_test_loss_p_weighted        0.257106                    0.467946   \n",
       "agg_test_score                  1.398106                    2.493560   \n",
       "n                               1.000000                    1.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  anp-rnn_pt_mean  \n",
       "agg_test_loss                        2.559804         2.821728  \n",
       "agg_test_loss_p                      2.559563         2.806924  \n",
       "agg_test_loss_kl                     0.000241         0.014804  \n",
       "agg_test_loss_mse                    0.051622         0.049933  \n",
       "agg_test_loss_p_weighted             0.454760         0.539386  \n",
       "agg_test_score                       2.559563         2.806924  \n",
       "n                                    1.000000         1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'LSTMSeq2Seq_PL_attn', 'PL_MODEL_CLS': <class 'neural_processes.models.lstm_seqseq.LSTMSeq2Seq_PL'>, 'params': {'use_self_attn': True, 'use_cross_attn': True}}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=LSTMSeq2Seq_PL_attn, trial=<optuna.trial.FixedTrial object at 0x7f8dec3eb518> params={'learning_rate': 0.001, 'lstm_dropout': 0.22, 'hidden_size_power': 6.0, 'lstm_layers': 3, 'bidirectional': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'patience': 2, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/LSTMSeq2Seq_PL_attn/version_-1000/_ckpt_epoch_3.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "30e73cd54209446695ce818cb9ba6800",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 1.6291112899780273, 'log': {'agg_test_loss': 1.6291112899780273, 'agg_test_loss_p': 1.6291112899780273, 'agg_test_loss_mse': 0.05164827033877373, 'agg_test_loss_p_weighted': 0.27507510781288147, 'agg_test_score': 1.6291112899780273}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.821728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.014804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.049933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.539386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss               3.264200e-01             0.583979   \n",
       "agg_test_loss_p             3.264199e-01             0.530546   \n",
       "agg_test_loss_kl            1.415805e-07             0.053432   \n",
       "agg_test_loss_mse           5.554044e-02             0.050668   \n",
       "agg_test_loss_p_weighted    6.167767e-02             0.099437   \n",
       "agg_test_score              3.264199e-01             0.530546   \n",
       "n                           1.000000e+00             1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                               0.600801   \n",
       "agg_test_loss_p                             0.600801   \n",
       "agg_test_loss_kl                                 NaN   \n",
       "agg_test_loss_mse                           0.044556   \n",
       "agg_test_loss_p_weighted                    0.113829   \n",
       "agg_test_score                              0.600801   \n",
       "n                                           1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                                    0.603395      0.908300   \n",
       "agg_test_loss_p                                  0.603395      0.899200   \n",
       "agg_test_loss_kl                                      NaN      0.009100   \n",
       "agg_test_loss_mse                                0.047060      0.052031   \n",
       "agg_test_loss_p_weighted                         0.114300      0.172292   \n",
       "agg_test_score                                   0.603395      0.899200   \n",
       "n                                                1.000000      1.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                   1.405925                  1.629111   \n",
       "agg_test_loss_p                 1.398106                  1.629111   \n",
       "agg_test_loss_kl                0.007818                       NaN   \n",
       "agg_test_loss_mse               0.050875                  0.051648   \n",
       "agg_test_loss_p_weighted        0.257106                  0.275075   \n",
       "agg_test_score                  1.398106                  1.629111   \n",
       "n                               1.000000                  1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               2.607442             2.559804   \n",
       "agg_test_loss_p                             2.493560             2.559563   \n",
       "agg_test_loss_kl                            0.113882             0.000241   \n",
       "agg_test_loss_mse                           0.058096             0.051622   \n",
       "agg_test_loss_p_weighted                    0.467946             0.454760   \n",
       "agg_test_score                              2.493560             2.559563   \n",
       "n                                           1.000000             1.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  \n",
       "agg_test_loss                    2.821728  \n",
       "agg_test_loss_p                  2.806924  \n",
       "agg_test_loss_kl                 0.014804  \n",
       "agg_test_loss_mse                0.049933  \n",
       "agg_test_loss_p_weighted         0.539386  \n",
       "agg_test_score                   2.806924  \n",
       "n                                1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'LSTMSeq2Seq_PL', 'PL_MODEL_CLS': <class 'neural_processes.models.lstm_seqseq.LSTMSeq2Seq_PL'>, 'params': {'use_self_attn': False, 'use_cross_attn': False}}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=LSTMSeq2Seq_PL, trial=<optuna.trial.FixedTrial object at 0x7f8dec3fd048> params={'learning_rate': 0.001, 'lstm_dropout': 0.22, 'hidden_size_power': 6.0, 'lstm_layers': 3, 'bidirectional': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'patience': 2, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/LSTMSeq2Seq_PL/version_-1000/_ckpt_epoch_0.ckpt\n"
     ]
    },
    {
     "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": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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uXAAgJydHZzUGBp6D4Qh0oGPHjhw6dIjly5frLcWtsEQdPXz4MAEBATqrMTDwHIwxAh0IDg7mmWeeMeLqF5O2bdvi4+NDtWrV9JZiYOBRGI6gjMnIyGDjxo106dLFiKtfTL7//nu9JRgYeCRG11AZk5SURGhoKI8++qjeUtySRx99lNGjR3P69Gm9pRgYeAyuTEyzTCl1SSn1u43yyUqpw0qpI0qpnUqpzq7SUp6oUqUK99xzD+3atePYsWN6y3E7fv75Z1avXk1ycrLeUgwMPAZXtgg+AYbaKY8GBojIDcBLwFIXaik31KtXj2eeeYbNmzczbtw4veW4FV26dOHQoUN88MEHxviKgYETcdkYgYhsU0qF2CnfabW7G2jiKi3lDX9/fzp27GiEmCgm586dA2DMmDHUqlVLZzUGBp5DeRksngas01tEWZCVlYWvry87d+6kevXqestxK44cOUJOTo4RmsPAwMnoPlislBqI5gieslMnVCm1Tym1Lz4+vuzEuYCdO3cSEBBg5CouAQ0bNuSPP/5g2bJlRs5iAwMnoqsjUEp1Aj4CxoiIzZgBIrJURLqLSPf69euXnUAX0aBBA+rWrau3DLfkzTffJDQ0lCNHjugtxcDAY9DNESilgoCVwL9F5LheOsqagQMH8ueff7J//35uuOEGveW4FbNnz2bDhg3ce++9BAYG6i3HwMBjcFnOYqXUl8AtQD3gIjAPqAwgIuFKqY+AO4AY8ym5tvJpWuMJOYtTUlKoXbs2NWvWJCUlRW85boOPjw85OTlkZWXh4+OjtxwDA7fCXs5iV84amlRE+XRguquuX56pUaMG0dHRVK5cWW8pbsX7779PTk6OkeLTwMDJ6D5YXNH47rvv6NmzJ19//bXRvVFMpk+fzj333MOlS5fIyMjQW46BgcdgOIIy5ty5c+zbt8+Y9VJCHnroIQICAowQ3gYGTsRwBGXMXXfdxW+//cbp06f5z3/+g8lk0luSW5CXl8eqVav47bffaNCggdGtZmDgRFw2WOwqPGGwGIyBz+KSnp5OtWrVqFq1qtEtZGBQAnQZLDawz1tvvYVSCi8vo1HmCF5eXowcOdJwmgYGLsBwBGXM+vXr2bNnD0OHDqVHjx56y3EbqlatyurVq/WWYWDgkRT5OqqU8lJKdVVKjVBK3aqUalAWwjyVtWvXMm/ePHbv3q23FLfk/fff56abbmLZsmV6SzEw8BhstgiUUi3Q4v8MBk4A8UAVoLVSKgP4APhURIzRzmIwbNgwatWqRUZGBmvXrmXQoEFUqVJFb1nlHstYljHrysDA+dgcLDavDF4C/CoFKplbBXcDySLyqctVWuEpg8WBgYGcO3eO2NhYYz2BA8TGxtK0aVMAfvvtN5o0aULjxo11VlX+ef7550lISOD999/XW4qBzpRosNjeymARuQS85QRtFZaBAweSlJRkTIN0kLy8PACaNm1qjK04iIjw0ksvARAWFkbt2rV1VmRQXnFosFgp1QcIsa4vIp+5SJNHc/z4cTIyMliyZImRj6AYBAcHYzKZjHUXxWTlypWkp6cbTsBBVq1axbp16xg1ahTDhw/XW06ZUeQ6AqXU50AL4CCQZz4sIvKwi7UVirt3DQ0dOpQNGzbw448/MmzYML3luB179+5l3bp1dO/evUL9RzUoGzp27MjRo0epVq0aaWlpestxKqVdR9AdaF9wnMCgZDRr1oxOnTpRp04dvaW4JXv27GHevHnMnj3bcAQGTqd3794cPXqUli1b6i2lTHGkRfAt8LCInC8bSfZx9xaBhZtuuon9+/ezf/9+unbtqreccs/p06d58MEHiY+P51//+hc9e/Zk5MiRessq15w7d47AwECqVKnCmTNn8ISkTq7mwoULnDx5koCAAI/LKV6iFoFSajUgQHXgD6XUHiDLUi4io50ttCIhIogIubm5ektxC1JSUli7di2dOnXKHwA1sI8li1tmZibp6emGI3CARo0a0ahRI71llDn2uobeKI1hpdQyYCRwSUQ6FlKugLeB4UAGMEVEDpTmmu7Erl278Pb2NkJMOEizZs1YvXo1/v7+ektxGxo2bEjTpk1p0aKF4QQcJCoqivPnz9O5c+cKNa3blRnKbgauAJ/ZcATDgYfQHEFP4G0R6VmUXXfvGurZsyfnzp1jx44dBAUF6S3H7UhJSSE6OpoaNWrQokULveUYeBh9+/Zl586dDB06lHXr1uktx6nY6xpyJMTEOKXUCaXUZaVUqlIqTSmVWtR5IrINSLJTZQyakxAR2Q3UUkoFFGXX3YmLiyM2NtZoCZSQTZs20a1bN5544gm9pRh4IJZV/lu2bNFZSdniyKyhhcAoETnm5GsHAmet9mPNx8rFoLSriIqK4urVq3z44YccOnSI559/nm7duuktq9xz7tw5Vq9ezfHjx+ncuTMhISF6Syr3JCUl8d1335Gdnc2dd95pdA85wJIlS1i2bBlt27bVW0qZ4ogjuOgCJ1AslFKhQCjg9t0plv+MlvnwoaGhOityD/766y9mzZrFgAEDOHjwoN5y3ILnn3+exYsXA9CrVy/DEThA69atWbBggd4yyhx7s4bGmT/uU0p9DfzAtbOGVpby2nFAU6v9JuZj1yEiS4GloI0RlPK65YK5c+cyc+ZMozXgIAEBAYSGhtKqVSu9pbgNvr6+APj7+1O3bl2d1bgHIoI2j6ViYS/o3HI754mITC3SuFIhwBobg8UjgAf5Z7D4HREpMoiMOw8W5+XlERoaStWqVXnvvff0lmNgYFCA3r17s3v3bsLDw5k5c6becpyKvcFie47gbmCDiCSW8KJfArcA9YCLwDygMoCIhJunj74HDEWbPnq/iBT5hHdnR7B8+XKmTtX8Z3BwMGFhYUyePFlnVe7Fvn37GDt2LF26dGHNmjV6yzHwMGrWrElqqjYXxtOCKZQ0xERT4FulVGVgM7AO2ONoqAl70UvN5QI84IgtTyAiIoIHH3wwfz8mJoapU6dy4cIFHnvsMR2VuQdXr14lOTmZxMRE4uLijBDUDpKcnMzVq1epU6eOkffCAQ4cOMDIkSNp06aN3lLKFEdCTFRHS04zFOgBHAPWo7UWLrpcYQHctUUQEhJCTEzMdcfr1q1LQkKCDorci5UrV3LHHXcwfPhwwsPDqVq1KvXq1dNbVrlm8ODBbN68GdBSpA4ZMkRnRQZ6UqqgcyKSBvyfeUMp1R4YBnwGGL8sBzlz5kyhx5OS7C21MLDg6+tLQEAAjRo1yk9QY2CfvXv3Atrc+EqVjPTkBrZxNB9BIBBsVX+viPzPZao8kKCgoEJbBO4+HbasGDFiBOfOndNbhluxc+dOUlJS6N27t7GA0UFmzJiRn9EtIMDj17fmU6QjUEq9BtwJ/IFVPgJgmwt1eRxhYWFMnz6dzMzM/GN+fn6EhYXpqMr9SEhI4LnnnqNWrVq8+uqressp13To0EFvCW7H119/TVpaGps3b84fNK4IOPKaMBZoIyLDRWSUeTMijxaTyZMn89prr1G1alVAS7n4+uuvM2bMGJ2VuRfp6emEh4ezYsUKvaUYeCCffqqlYL969arOSsoWRxzBKczTPg1Kx8MPP0xGRgYiwsSJE3nggQcIDw/XW5Zb8MMPP9CtWzfef/99Fi9eXCFXfxaH2NhY5syZQ9OmTbnxxhv58ccf9ZbkFowZM4aTJ08SHR2tt5Qyxd7K4nfRuoAygINKqc1cu7JYl1SVnkKNGjVo0KBB/upPA/vEx8cTFRXFjTfeyGuvvaa3nHJPdHR0ftdZbGysMTPNQby8vDwuIY0j2FtQdp+9E0XkU5coKgJ3nT4K/yxQqYhL2EtLQkICMTEx1K1b1wg45wCnT58mIiKCjIwMxo0bR0hIiBFmwgGWLl2Kt7c3U6ZMwdvbW285TqWkK4vHAjtF5JIrxRUXd3YE27dvp3///vTr149ff/1VbzluSV5eHhs2bMBkMhmpKg2ciojg7e2NiBAaGsq7776Lj4+P3rKcRknzEdwDRJlzEXyqlApVSl0XM8jAcfLytElXxlS+kpObm8uIESMYN25c0ZUNDIqBxQGA1jKwnuHn6dgcIxCR8ZAfOK6PeZuplApCW0cwvCwEehIDBgzAZDJhMplYsWIF77zzDpMnT+aRRx7RW1q5Z8eOHWzcuJHevXszZMgQj3pTcwWnTp0iPj6e48ePc/LkSYYMGULv3r31llWu8fLyIjw8nK5du2IymSrU+J0jK4tPK6WqAFXNm+WzQQlQSuHt7c2lS5fYu3cv/fr101uSW7Bjxw7mz5/PE088wfr16/WWU+4JDw/n9ddfz9+vUaOG4QgcxNOijjqCvVlDc4DeQH3gL2A3WrTQUBHJs3WegWPcdddd9O3b1wie5iB9+vRh3rx59OnTR28pbkFgYCA9evSgbdu2NGvWjF69euktqdyTl5fHhQsX8PX1rXBxrOwNFv8JpAOrgZ3AbyJyuQy1FYo7Dxbv3LmTV155hT59+jBnzhy95bg1xgwsA2cTFxdHkyZNAFi7di0333wz1apV01mV8yjRYLGItAVuA/ah5RX4P6XUHqXUh0qp+12i1MM5d+4ca9eu5cCBA3pLcWvq16+Pl5cXycnJeksx8CBMJlN+C33EiBGcPXu2iDM8B7tjBCKSBKxRSq0HbgRuBmYCUwF7GcwMCqFv376sXr2ahg0bcvjwYSIjI+nYsSO333673tLKPbGxsVy8eJHAwMD8VkBOTo7Oqso/Fy5cIC4ujoYNG+a/7RoUTtOmTYmLi2PGjBnExsZWrPwNIlLoBowGFgC/AknmfxcAY4D6ts4rYGMo2vjC38DThZQHAT8DUcBhYHhRNm+88UbxBD777DMB5J577tFbilvw9NNPCyATJkyQoKAgUUpJcHCwrFixQm9p5ZIZM2ZI/fr1pWvXrgLInDlz9JZkoDPAPrHxXLXXIpgC7ACeBPaLSHZxHIxSyhtYjNa9FAvsVUqtEpE/rKo9C3wjIkvMeQ5+BEKKcx13pVOnTjz77LN07txZbyluQUBAAMHBwURGRpKdrf0UY2Ji8ud9Gyk/ryU5OZn4+Hi6detGt27dKlRIZYPi40iGsmEisq7AsVkiYjdamlKqN/CCiAwx7z8DICKvWtX5ADglIq+Z6/9PROxOC3HnweI//viDX3/9lfbt29O/f3+95bgdtrK8BQcHc/r06bIXVI5JS0sjIyODGjVq5Ee8NbDP4cOHmTJlCl26dGHZsmV6y3E6JV1ZbOE5pdStVsaeROseKopAwHq0JdZ8zJoXgHuUUrForYGHCjNkXtW8Tym1Lz4+3oFLl0+2bdvGrFmziIiI0FuKW2Iry5ut4xWZ6tWr07BhQ8MJFIPLly8TFRXF8uXL8fb2ZuPGjXpLKjMccQSjgVeUUv2VUmFATxxzBI4wCfhERJoAw4HPlVLXaRKRpSLSXUS6169f30mXLnvatWtHaGgo/fr1IzU1lYMHD3LixAm9ZbkNtrK5GVneDJxB165d2b9/P0FBQZhMpgo1GcGRlcUJSqnRwCZgPzBeiupP0ogDrJPLNjEfs2Ya2oAyIrLLvIK5HlCuAt05iwEDBjBgwABASyY+bNgwhgwZYqyUdYAnn3yS5ORkfHx88scIwMjyZotXX32Vv//+m8aNG/Pxxx8zefLka1YaG1xPtWrV6NatGydOnMDb29vjoo/aw2aLQCmVppRKVUqlos36aQ1MACzHimIv0Eop1Uwp5QPcBawqUOcMMMh8vXZo4Svct++nGNSsWZPOnTvTrFkzvaW4BcnJyaSmpnLPPfcQHByMUorg4GCWLl1qDBQXwpo1a1i2bBlnzpzh/PnzxpqLYuDj41OhnAA4MFhcKuNKDQfeAryBZSISppR6EW0a0yrzTKEPgWpoSXCeFJGf7Nl058Hi1NRUrly5Qo0aNTxqxWJZcPnyZdLT06lZsyb+/v56yyn3/Pjjj5w/f56BAwdSpUoV/P39qVmzpt6yyjVHjhzhu+++o1OnTtxxxx16y3E69gaL7a0BCLFVZi5XQBN7dVyxufM6gpdeekkAmTt3rt5S3Jr169dLeHi4xMTE6C3FwIOIiIgQtBdSGTNmjGzcuFFvSU4FO+sI7A0Wv66U+l4pda9SqoNSqoFSKhgAOxUAACAASURBVEgpdatS6iW0NQbtnOiwPB4/Pz8CAgKoUaOG3lLcmnfeeYdZs2Zx+PBhvaUYeBAdO3Zk3rx51KpVi8jIyAqVt9hu15C562Yy0BcIQMtffAxtqud3IlLmmRvcuWvImiNHjjB8+HDatWvHTz/Z7Q0zAD744AP2799PaGgou3bt4vfff2f27NnGgjwbrF+/nszMTOrWrcvnn39O165d+c9//qO3LLdg//79nDlzhq5du3pUWtQSdQ2V182du4asOXjwoAByww036C3FLbjjjjsEkG+++UZvKW5Bs2bNBJA33nhDABk7dqzekgx0hhKGmDBwIe3atSMmJqZiBbYqBbNmzeK2227jxhtv1FuKW/Cvf/2L8+fP079/f8LDw43ZaQ5w7tw5zp07R+PGjStcnhCXzhpyBe7cNbRw4UK+/vprnnjiCe666y695bgtqamppKWlUbNmTWP2lYHTWLBgAc888wy33XYbd955J127dqVbt256y3IapQ0xYeAkYmJiOHDgAImJiXpLcWsef/xxmjRpYoTqMABgw4YN3HTTTfz555+lstOwYUNuvPFGDhw4wPTp04mMjHSSwvJPkY5AKbVSKTWisNAPBsXj6aefZt++fYwfP57k5GRmz57NU089pbcst2Dnzp2sWbOG+Ph46tSpQ0BAQIVKLl5cMjMzycvLIzExkTVr1rB9+3a9JbmM+fPns2/fPt59991S2bn//vvZt28fy5YtY+rUqXTt2tVJCt0AW4MHlg0YDEQAJ9HyEbQp6hxXbp4yWHzu3DkBpFGjRnpLcQtuvfVWATxubrer8PX1FUDWr18vgPTr109vSS4jPDxcRo4cKZGRkXpLKddQwnUEFkexSUQmA92A08AmpdROpdT9SqnKLvFOFYCaNWuyePFiXnvtNafZjIiIICQkBC8vL0JCQjyq66RXr16MGDECZwUd9OR7BeDt7Y1SioCAAEaMGEGfPnaju7s1M2fOZPXq1YwePbrQ8t9++417772XS5c8MoSZc7DlIaw3oC7wCFr+4lXAncC7wFZHznfm5s4tgm+++UbmzZsnhw8fdrrtFStWiJ+fX/7KSED8/PyMDF6FUJHulclk0luCy/ntt9/k8OHDkp2dXWi55W88e/Zsu3aeeuopadSokYSHh8vFixclOTnZFXJ1AzstAkecwP8BfwDPAAEFymwadtXmzo5g4sSJAsiXX37pdNvBwcHXPNgsW3BwsNOvpTcff/yxdOvWTd57770SnV+R7lVFoF69egJIXFxcoeVr1qyRRx99VPbu3WvXzowZMwSQ7t27CyDTpk1zhVzdsPe8dmQA+B0RaS8ir4rI+QKticJXqRkUyoQJE5g3bx4dO3bEZDKxbt061qxZ4xTbnp60xWQyWV4+uHjxIgcOHODs2bNFnFU4nn6vCiIi5OXl6S3DJYgICQkJgDb9szBGjBjBm2++Sffu9h9Xb7zxBnFxcYSGhlKvXr2KFdzQloewbMC4QrZBQIOiznXF5s4tAmtyc3MFEG9vb6fY8/S3XEsS9n379klcXJzs3bvX5htgUdi6V3Xr1nWyan1ITU2VwYMHy4QJE+To0aMCSLt27fSW5TLefvttAeSRRx7RW0q5hlK2CKYBH6HFHJqMFjb6KWCHUurfznBGFREvLy+GDBnCsGHD8t90S0NYWNh1MdQ9KWmL5R55e3vTuHFjunfvXuLVn2FhYVSufP08h7S0NI8YNM7IyGDTpk1s3bo1/zdhMpl0VuU6HnzwQUwmE2+99dZ1ZceOHeO2227jX//6Fzt37tRBnZtgy0NYNuAnoKHVfkNgA1AH+L2o8529uXOL4NixY7J37165fPmyrFixQoKDg0UpJcHBwU4ZqJw9e/Y1LQFPG/w0mUxOG/ysW7eux7agMjMzZcOGDbJx40YxmUySl5entyTd+PTTT/P/tk888YTdum+//baEhobKoUOHykhd2UIpB4v/KLCvLMeAqCLOHQr8hZbh7GkbdSaiDUYfBb4oSo87OwLLXPhnnnmmwsxacQUHDx6U559/Xr777rsS21BKFeoIlFJOVGrgatavXy+1atWSKVOmFFp++PBhGTBggDRs2FC+//57u7aGDh0qgDz33HPSo0cPefDBB10hWTfsOQJHgs5tVUqtAb41799hPuYPpNg6SSnlDSwGbgNigb1KqVUi8odVnVZos5H6ikiyUqqBA3rcllatWpGSksLy5cvJyMi4piwjI4O5c+caaRcd4MiRI7z44otMnjy5xJmkatSoweXLl687HhQUVFp5BmVIfHw8KSkpfPLJJzRv3pznnnvumvIbbriBrVu3OmTrkUceYezYsVSuXJk9e/ZQvXp1FygunzjiCB5AGyDuZ97/DPje7GEG2jmvB/C3iJwCUEp9BYxBe/u3MANYLCLJACLi0Ss+wsPDAW18oDBKM2slKyuL3bt3c+rUKRo0aMCIESNKbKs8MnXqVOLj4/nwww/p1KkT8+bNo1OnTiW29/DDD7NgwQJycnLyj3nKmEpCQgJffPEFDRs2ZMiQIfz73/+mevXqfPHFF3pLczqTJk0iJyeHqVOnsmfPnlLZGjp0KKClRW3fvj21a9d2hkT3wFZTQXvO4w38bK+OnXPHAx9Z7f8beK9AnR+AhWjZznYDQ4uy685dQxZcMcPHMjvEsnlav3DTpk0FkNOnTzvNpivGacoDBw4cEEA6deokCQkJAkidOnX0luUyzp8/L6tWrbpunYDJZJLvvvtOdu7cKWfOnJELFy7opLB8QEm7hkQkTyllUkrVFJHr29GlpxLQCrgFaAJsU0rdICLXdDkppUKBUPCMpntYWBihoaHXdA+V9m00OzubXr16sXv3boYPH05eXp7Nloc7snz5ctLT050WYgJg8uTJBAUFcezYMW6++Wbatm3rNNt6UrduXR588MH8tKiRkZEenfeiUaNGjBo16rrjSUlJ3H333WRnZwMwevRouxFFt2zZQnp6OgMGDKh46WRteQj55609EjgDfAy8Y9kcOK83sMFq/xngmQJ1woH7rfY3AzfZs+vOLYJbbrlFAgIC5OjRox77NloWpKamyr59++SPP/4osY1jx47Jrl27ZOzYsQLIhx9+6ESFBmXF66+/Lvfff78cOHDgurLLly/L4sWLBZDGjRvLfffdZ9dWx44dBZBNmzbJyy+/LIsXL3aRan2glLOG7itsc+C8SsApoBngAxwCOhSoMxT41Py5HnAWqGvPrjs7gvbt2wsgv//+u1PtVjSnsmXLFgFkwIABJbZhCfcxfPhwmTFjhvzyyy/OE2hQZgwaNEgAGTdunHz11VfXlZ8+fVp27NjhkK0HHnhARowYIRs2bBBA2rZt62y5ulIqR6CdT1VKEH4aGA4cRwthPdd87EVgtPmzAt5EG0A+AtxVlE13dgQJCQkSFxeXHxzr2WefleHDh5dq3nJFCaD28ccfywcffCCZmZly4MAB6dq1q0yfPr3E9ubOnSu9evWSn3/+2Xkiywnp6ely6tQpuXTpkphMJvnggw/k/fff11uWS9iyZYs89NBDQoH83zt27JBff/1Vrl69Wmyb8fHxMmfOHHn77bedKVV3StsiGIW2FiDavN8FWFXUea7a3NkRFGTw4MECyIYNG0psw9bAc+PGjZ2oVH+qV68ugKSkpOgtpdyzdu1aAWTo0KFiMpnyfxOeGok0Li5Opk+fLi+++GL+sSZNmgggMTExOiorX9hzBI5MH30BbSroVgAROaiUau7AeQZFMG/ePB5++OFSZUKyNeX0/PnzhR53V+6//34yMjKcnpUsPT2d1NRU/Pz8qFmzplNt64WPjw/BwcE0atQIpRShoaF4eXlhMpmuC0PiCTRu3JgPP/zwmmM9evQgODgYf39/oqOjGTduHE2aNGH16tU27eTk5FCpUiWUUq6WXP6w5SEsG7Db/G+U1bHDRZ3nqs2dWwT//e9/JTQ01Klxzj092JyrmT9/fv5qUgP3Ijs7W5YtWyZr1661W+/kyZMCSLNmzezWq1GjhgCSkJAgBw8elKioKGfK1R1KGXTuqFLqbsBbKdVKKfUuYERvKgErVqxg6dKlZGVlOc1mWFgYfn5+1xzzlIVRtoiOjqZx48b06NGjxDb69OlD/fr1iY2NpWHDhlStWtWJCg3Kgvj4eKZOncqUKVM4f/68zbDkgYGB7N+/n/Xr19u1ZwnMl5OTQ5cuXejfv7/TNZdXHOkaegiYC2QBX6IFnHvJlaI8lf/973+kp6fnz1HetWsXhw8fpnfv3iVeJWsJSTF37lzOnDlDUFAQYWFhHhWqQkSIi4vD29ubgIAAlFKcP3++0AiijpKYmEhCQgKPPfYYS5cudaLa8sfFixfJyckhICDAo7qGlFLcc889eHl50bhxY6pXr05qaup19Xx9fenWrVuR9tLS0jCZTGRnZ3PDDTdQrVo1V8gun9hqKpTXzZ27hgryyCOPCCBvvvlmqezk5ubKnXfeKTNmzJCwsDAZNWqU7Nmzx0kq9eezzz67psvrs88+k7i4OElISCixzbS0NLl06ZLk5OQ4UWn54Ntvv5UOHTrICy+8ICL/RFqNj4/XWZlruHr1qjRq1EhatmwpIiIZGRlStWpVCQgI0FlZ+YLSDBYrpVoDjwMhWLUgRORWl3imCkSfPn3IyMigQ4cOpbKTnp7O119/TbVq1Rg0aBCrV69m6tSp3HTTTU5Sqh8RERHMmjUrfz8mJoZZs2axdOnSUrV6qlWr5rFvfPHx8Rw9epR+/bTwYAEBAVSpUsVjcxJUqVLlmskRmZmZXL16NX9igYjwwgsvkJWVxauvvloxB4OLQGmOwk4FpQ6hrQDeD+TnuxOR/a6VVjjdu3eXffv26XHpUhMZGYmXlxcjRoxwaviHrKwsVq5cSV5eHi1atODSpUv06NGDgIAAp11DL0JCQoiJibnueHBwMKdPny61/bVr1zJv3jyGDh3Kyy+/XGp75YGkpCTi4uKoVasWTZs21VuOy8jKyiIrKws/Pz8qVfrnnVZEuHr1KllZWfmB4ypVqkReXh7Z2dmFdimmp6dzxx13ULNmTb7++usy+w5liVJqv9hIL+zIGEGuiCxxsqYKye23346I8/PH+vr6MmnSJKfaLC/Ymh4bExPDzJkz+eCDD0pk995776VSpUrccsst7N+/n9atW5dGZrmiTp061KlTR28ZLmfVqlVMnDiR8ePH8+233+YfV0rh5+d3zSSK+fPn2x0fSU9PZ8OGDdSrVw+ADh06kJSUxF9//VUh4g454ghWK6VmA/+HNmAMgIgkuUyVByIijB49mtzc3PzWQGZmJsnJyfj4+FC3bl2dFZZPgoKCCm0RAHz88cclcgQmk4nPP/8cgIULF7Jnzx6nBrMzKBtMJhM1atSgevXqDBo0iPj4eLZt20atWrWuqzt37ly7tmrUqMH69est0+O5cOECSUlJ+QHrPB1HuoaiCzksIqLLojJ37hoqyIcffkhoaCjTpk3jo48+KrGdixcvsnnzZpo2bUqVKlU4dOgQPXr0KFW8/vJCREQEU6dOveY/pJ+fH3feeSd9+/Zl6tSpxe7zzcvL46uvviI7O5v777/f2ZJ1Z9OmTWzevJnBgwczaNAg7rjjDk6dOsXKlStp1qyZ3vJcQqNGjbh48SLnz58nIyODZ555htatW/PSSyWb4Hj27Fm8vb1p2LChx8y0stc1pPssoOJunjRr6Ouvv5aGDRvKI488Uio7P/30kwBy6623ymOPPSaALFy40Ekq9ccSIA4PzcXsbJ577jkBZP78+SLiumCH5YmoqCg5ePCgZGdny86dOwWQnj175pcfOXJEtm/fLunp6Tqq1BfszBqy2SJQSj0pIgvNnyeIyLdWZa+IyBxneitHcdcWgYhgMpnw8vJy+qyFgwcP8tprr9GhQwfatGnD+vXrGT9+PMOGDXPqdfQiLS2N06dPU6NGDYKDg51qOyYmhk8//ZTAwECmTZtWansioPeklG3btrF9+3Zuvvlm+vXrx9GjR8nJyaFNmzYVYuFcQkICmzdvpmbNmvlZx9q3b8+xY8f4/fffC52ld/bsWSIjI2nWrJnHZfezUKIWAXCgsM+F7Zfl5q4tgsTERAGkdu3aekvxCDZs2CCPPPKIBAUFFTv8dmpqqnz55ZeyYcMG2bZtmwDSt29fp+iqwC+cZc57770nN998c6HhpwsyadIk6dOnj/z111+Flq9fv14Aue2220REJDw8XO6///5SRQYub1DCdQTKxufC9g2KwDJI7Cn9jXozYcKEa1aRxsTEEBoaClDk+oLY2FgmTZpE27Zt2bBhA8899xwhISFO0ZWZCVWr6t8qqAgcP36cbdu2MW7cOJYuXUpMTAz/+c9/aNKkyXV1i8rXHBgYyOzZs2nTpg0AP/30EytXrmTYsGEeMdZWFPa6hg6ISLeCnwvbL0vctWvIgqV7CODIkSPcf//9tGnThoiIiBLbvHr1Knl5efj5+ZGdnc3ly5fx8fHxmOTb//3vf/H39+fpp5/G398f0BaEpaenX1fXkfUFMTExPPXUUwQEBLBo0SKnak1MBD8/zRnoxYkTJ4iPj6dly5Y0aNCAZcuWER0dzbRp05zm8MoD0dHRnDlzhubNmzNhwgR+++03du3aRYMGDdi1axctW7akZ8+eJbK9fv16YmNjufXWW2ne3DOCLZe0aygPSAXSgFzzZ8t+jq3zCtgYipbL4G/gaTv17kAbDOxelE137RoqjP379wsgXbp0KZWdl19+WQB5+umnZcmSJQJIaGiok1TqS05Ojnh5eYlSSrKysvKPK6UKjbqqlNJRrUhCgkhioq4SZOrUqdek3+zfv78AsnXrVn2FuZCPPvpIXnrpJTlz5ox88sknAsi9996rt6xyBSWJPioi3iJSQ0Sqi0gl82fLfpHRvpRS3sBiYBjQHpiklGpfSL3qwCPAb0XZ9DTatm3Lnj178lcyRkREEBISgpeXFyEhIcVqJfj5+VGtWjVq1KhB/fr1r4tI6q6YTCaWLFnCq6++io+PT/7xoKCgQuvbOm6L7OxsoqKiOHjwYKl0WpOR4TRTJaJFixb06tWLRo0aAVouh/nz5zt9oL08MW3aNJ599lmaNm1KSEgId999N717984vnzp1KnXq1GHVqlWFnp+cnMyZM2dIS0srK8nlC1seorQbDiSvNx9/CxiBlvjGY1sEZ8+elWHDhsnMmTMLLa8oKSedRWnuV3Z2tly5ckVyc3MlJiZGAGnatKlTdCUkiERHi5QgQ6JBMVmxYoW88cYbDmUhu+uuuwSQL774otDyBQsWCCBPPPGEiIhcunRJVq1aJVu2bHGqZj2hlPkISkogWjJ6C7HmY/kopboBTUVkrQt1lAtSU1NZt24d27ZtK7R87ty5ZBR4lczIyChyRaQnY6+FtGjRIjIyMmjYsCFKKQIDAx0ORLdmzRqqVavGhAkTqFq1Kl26dCl14L+CXL7sVHNO4eTJk3z77beWFzC3Jzw8nMcff5yYmBhOnjzJ7t27SUhIKLTukiVLSExMZPz48YWW+/n50bRp0/wQE1FRUYwePdpj4k8VhSMhJlyCUsoLLXH9FAfqhgKhUPymf3mhadOmrF279pp53NnZ2SxYsACTyWQzpo6t455OREQEoaGh+c6x4KygSpUq4eXlRYMGDbh48SIDBw50OBqpyWTKj0VTv359oqKinK7/6lXIzgar3izdOHnyJElJSUyaNImTJ09y+PBhbrjhBr1llZpJkyZx0003ERQUxJNPPsk333zDl19+mR/KxToYXWFhJ6x56KGHeOihh/L3g4ODGT58uEN5DDwCW02F0m4U0TUE1AQSgNPmLRM4RxHdQ+7aNVQYWVlZAkilSpVKlXLy8ccfl4EDB8quXbtk37590qNHD5k+fbrrv4ALKep+5OXliYjkH58xY4aOav/B0jUUHS1y8aI+GsaPHy916tSRjRs3iojI2LFjr7mHR48e1UeYC5k7d6706NFD1q1bJ88884wAEhYW5hTbf//9t7z//vuSnZ3tFHt6QSmT15eUvUArpVQzIA64C7jbUigil4F6ln2l1FbgcRFx37mhxaRy5co8++yzVK1aleDgYKZNm3ZNGktHU04eOHCAn3/+mbS0NKpWrcqePXuuCcvrjhTVQvLy8iIvL49+/fqRnp5e4iikriQjQ9tcMW4vIjZXqKekpJCUlJSff6BVq1Z0796d7t2707p160Ln2bs7L7/8cn43zo4dO6hevXr+VGOAlStXEhkZybhx4xgzZkyxbHfs2JHMzEwqV67M9OnTnaq73GDLQzhjA4YDx4GTwFzzsReB0YXU3YoHDxafO3dOFi9eLD/88IPNOgsXLsx/a2vSpInDA8WHDx+WTZs2SWJioqSmpsru3bvlzz//dJZ0XShNC6k4mEwmCQwMlPr164vJZCq1PesWQXS0yJkzIrm5pTZ7Hf369RNAnn/++evK0tLSJD4+XjIzM685bjKZJCUlRVJTU50vSAeOHDkix48fl1wHbrAl/pIla1tBHn30UencubNs2LAh/5jJZJKkpCQZNmyYAPLbb785TbseYKdF4FJH4IrNXR3BL7/8IoD079/fbr1PP/1UvvjiC8nIyCgjZeWTomYFvfzyyzJ06FDZvn17sW1/+umnMnDgQFm2bJmIiFSuXFmAa9YplJSCjsDiDK5cKbXpa7DcEx8fH4fPmTdvngDy3HPPOVeMTlh+H1ccuLn79++X5cuXy8GDBwstHz16tACycuXK/GOtW7cWQE6cOOE0zXpizxG4ctaQgRWNGjVi1qxZjB49+prjR48eZdeuXWRmZgJawpRJkyZViOBg9pg8eTIvvvgigYGBKKUIDg6+ZlZQVFQU69ev5++//6ZLly507NjRYdt///03P//8c343U3R0NBcvXiw0c1VxKWwNQV4exMdDcnKpzedz8uRJ2rRpw8yZMx2qn5qaypYtWwA8ImWliNCqVStatmxJ1apVCQsLo379+jZXinfr1o0pU6bQuXPnQsvfe+89oqKiGDhwYP6xWrVqUb169WtCmXgstjxEed3ctUVgixYtWgggx48fl6NHj8revXslJSWlWDYWLVokixYtkoyMDLl8+bK89NJL8vrrr7tIcdmwYsUKqVq1qgBSr16967rJ9u7dmz8oaNkcTUR/6tQp2bRpk/z9999O133ggMipU9e3CqwHkB2UWWLmzJkjU6ZMyZ9f//jjj+ffo9KuYi+vPPvss/mht59++mm5+eabZdu2baWymZOTI5cuXZK9e/fKq6++6lBwu/IMRtdQ+eWOO+6Qnj17ysmTJ2X8+PECyJgxY4rVHPX39xdALl++LOfPnxdAGjRo4ELVrsXRxWKrVq3KH085depU/kwiPdm1S+TgQduOIDpaJCZGxJUTUCz5B44cOSIiIrNmzcq/j48++qjrLqwjly9flosXL0pGRoYMHz5cAFm9enV+eUxMjHz33Xeya9euYtl9+OGH8+/dyJEjnS27TDEcQTkgPT1dzp49K0lJSTbrWL+5hYeHO2x77ty58vDDD0tubq6kp6fLnDlz3DoxjaMDxbm5uZKYmCiXLl0q1fXmzJkjU6dOlfj4+FLZEdEcwaZN9h1BdLTI+fMlv0ZUVJTcfvvtsmjRIklJSbluUDgyMlKWLVsmycnJIiKSnJwsFy5cqDDjTkePHpWff/75mr/nihUrBJC777670HMWLFggzz777HW/gRkzZggg7dq1k88//9ylul2N4QjKAd9//70Acvvtt9ut9+GHH8rEiRNl3bp1ZaSs/OFIQLnt27fL4sWLSxQvfvXq1bJo0aL8mVWW7jlnDAru2iXyzTciJ04U7QwuXy7ZNb744otr7suPP/7o0HmxsbFyyy23yJgxY0p24XLEiRMnJCgoSIYMGSqZmUXPzNq+fbvcfvvt8uabbxZaHhQUJIBER0fnH/vhhx/klltukQULFrj9GgIR+47AvSebuxE+Pj4EBgYWmaR++vTpnjtX2UFsJay3XlX+zTff8M4777Bo0SIOHjzIgQMHmD59ukODxp999hnffvstjRs3pk2bNrz00ktkZGTkhxcoLXl5cPo0tGxpv15SkvZvjRrFs9+/f3++/vprnnrqKS5evOjQYObVq1cREbZu3Ur9+vWLd8FySFpaGmfOnKFatTqcPw979mwjMvITbr21P9OmXZ+Hum/fvvTt29emvaeeeoqEhIRr/n8mJiaydetWgoKCnDKRoDxjOIIyYuTIkcTGxl53fNq0aURGRvLJJ58wcuTIYtvNzMzkxIkT1KxZM/9BeeTIEa5evUr37t3zcx+4E2FhYYUmrLdeXNe3b1+WL1/O//73P1JSUrhy5Qp9+/Z1yBGMGDEi3wmAFqrA2SQkQJ062maPpCTIyoLataGwNYDZ2Vp5Vhbk5GhORqkm9Os3kV9+GYuvb2UqVVIkJ2vJcLy84Mcff0Akj1GjRuLn50tk5P8xbtw4AEaPHs38+fOd/n3Lkrw8qFevA7/+ehqtUQTR0Sf44ovl5OYqEhOzgStMmzalyBcvC7Nnz77u2JAhQ9i0aRPNmjXj+PHjxMfH06tXL49MLmU4Ap1JT08nMTGRxMRE/Pz8aNiwIUePHiUrK8uhxDKnTp2iU6dOtG3blmPHjgHQu3dv0tPTSU1NpXr16q7+Ck5n8uTJ/Pjjj/lZpYKDgwkLC7smltDEiRPZtm0bixcvZvDgwYwYMcLhTFL33Xcf9913n0u0W/P339CqlfaQt0d6urZVqgTe3lreYxHIzdX+tY0PV69ef3TWrKlcvpxMVFQitWr5smXL/vyywYPH0rJlF7KyoHJlzXG4E5mZ2lTcvDwfmjT5J6z2TTf1Z8GCj2jevA1PPDGFmJiTDB48mtq16+LlpXWB5+bmkpOT43CI9sDAQAIDtTiZderUITk5mUuXLnlEi6oghiNwAREREcydW71qFgAAIABJREFUO5czZ84QFBR03UPMmvfff593332Xq1evcvXqVU6fPo2/vz+33normzdvduh67du3p0WLFvn73bp1y89a5q58/PHHvPbaa/j6+tr8j3fffffRvXt3evbsSbt27Up8rV27dnHx4kX69u3r1P/kJhP89RfUr685g6JaB7m52lYUP/wQgZeXF7fcMpwaNWpeVz5o0CjS09Pw9a0CwODBY2jcOJiOHbvRrl1nLAE6lYJq1aBmzcJbI+UJk0lbh2ErXUDz5q1p3rw1AHfdNYOEhEt4edXl7Fntux05so9hw3rQufONbNiw7xq7JlMee/dux9+/Gl273pjvHL28tHO9vKBbt+6kpaWSlpZFrVqaw1bKc1KS2kxVWV4p76kqC0bNBK1bY9q0aWzbto2JEycyZ86c684TETIyMtiyZQvjx4/n5ptvZuPGjWUp3a24cuUKycnJ+Pv7U6eoJ2wBTp06hYjQtGlTfHx8GDhwIFu3bmXLli3XLCgqCbt3a+MDhVG9OjRvXvo0ln37BnHu3FlWrNjEkiULqFWrDu+997VD50ZGfkF09HHuvHM6AQH/xBzy99e2KlXK1wMuK0trLV25oj20LURF/cb//d/n3HhjH8aMudu2ATN//nmEUaO60b59VyIj91xTdvlyMl261KF69ZocPpxSbI2WLjnQHITFSVg+e3n9c08t99XiYCzn2muZmUxay9D6OiXBXqrKcv4e4H7YyiuwYsUKkpOTbQ5YKaXw9/dn5MiRZGZm2gwoVpDitD48iSVLlvDkk0/y2GOP8dRTT/H7779Tu3ZtunTpUuS5Y8eO5ciRIxw8eJDOnTvTt29fatas6fIcz2lpcOgQ1K2rOYSSdjWPHHkXsbGnCQwMZseOTTRoEODwuV988QF79myjZ88B1zgCS/eUBctDy/ohZvlsXS6iHbd8F8sD0IKv77Vvz5ZzbP28TSZtXCQjQ9Njq1F7/PjvfP75YrKyrjJmzN0kJsazf/8OatasQ8+eN19Xv23bGzhxIsfGNU10794PPz//QsuLQuQfnaVthFs/7EWudX6+vhDg+J+6WBiOwMnYipqZkpJCVFTUdW+vkZGRREZGMnr0aMaOHeuwA4CiY/a7M4sWLeL48eM88MADhQ4AW+LLb9y4kVatWjFr1izuuusuvvzyS7t2IyIiOHHiBADDhw9n4cKFTks+kpoKX30F3brZz0OQmKj9Z7fqzSsWzzyzEIDc3FyWL/+RRo3+eaCLCJmZV6lUqXL+TJczZ04xYEALAgODue++h+jZc8A15xSGZZzCVdEoLM7D+k03N9fxB2nXrr2YN+8dWrRoC8Cffx5m5szb6dPnVp59dhG+vlVo1qyVQ/+fateuy7ff/lqar+M0rJ1KWeJmQ0XlH3u5dLt06XJd+aFDh1i+fDmvvPIKd999N59//rlD14mIiOC+++4rtPUxffp0GjZsyKFDh0r2JcoBq1evJjw8nAsXLhRaPmPGDFq0aMHhw4fx8fFhwIABRY4TWBynJa7TuXPnCA0NLVZuaHuMHQtvvw2//FJ03fj4f6aPlpRKlSpxyy3DaNv2nyQz2dlZtG/vT8eO/0wS+OmnHwCIi4vhvvse4r//fZFmzVoVaT86+gRvvz2fv/76vXRCC8Fk0mZB5eZq/2ZlFe8B2Lp1B6ZMeYj+/W8DoF69htx22xi6dOnF8OGdue22ko8ZFUZ4+Gt0796Ajz5606l2ywuGI3AyYWFh1805tpdXYNSoUXz00Ue0bNmSL7/8kqioKCZMmEDz5s1p2rRpoWkaLQ80W4PBmZmZXLp06Ton4U488cQTLF68mPbt29usM2zYMMaOHUt2djanT5/mhRdeuO5eWWMvHWheXl6pB9dnzdL+XbvWsTfpEyfg0qXiXePy5WRiY09fk7fCmtzcXKpUqUqVKv8MRAQFtaBmzdoMGjQKn2KkTPvxx295660X+Oij/xVPZBmRmwvnz0NcHAT8f3vnHR5Vlf7xz5lJIYWENGogobuACAoiIgqCgLIqSLHQ1qUIitjWFWVdsbAbVMQGKk1YyLLKov4soMiCK7iCIEUBaYGEXhKSACFtMuf3x7k3M0lmJm1akvt5nnlm5tbvnOSe95T3vG+TTixY8BnTpj1P+/adaNu2Q4neQF5eLuPGDeLBB++o0r2KiorIyDhPevpZd8n3K4zJYg+QlJTEs88+C9hcH5s2bcqGDRvo06cP/fr1Kz7Wfow/OjqaadOm8c477zjNvWoymcqNHhkfH8+2bduIiYmp9QthHE3OCyGQUhaXPSgj4GiRmj0ffvghf/jDH6qsxWKBxERVMT32GNxwQ8XOi4qC+Hg1WVv6evrYfW6uajV/+eUHvPfeZAYMGM+TTy7it982sXPnOrp160f37n0wm5VbaECAei/tInrxYhYnTqQSHh5BixatXOravv0HVq9exq23/h6z2UzfvndUaujSUxQWwubNezh8+BRNm3YgJkYNc4WEKA+o4GCIjVW/3XZOIe3aBWE2m9m/P69E4qYtW/7LpEl3ceON/Xj//U8c3jM7O5OCgnwiI6MJCgriiy/+xalTx5k06U8lyuTixWyHnlzuoLpzBMZksZd55JFHirOODRkyBIAXX3yRV155BSFEsSEoXYllZGQwc+ZM6tWr5/Ta5RmB0NBQkpKSaNy4sZt+jX+ybt06nnnmGY4cOVKmla83btLS0hg9enS51woPD+fy5ctYKuK76YKAAHjgAXjtNfjkE+jUSblnlkdmJsULwvTKy2Jx3KsoKIDo6HgiIlqQmQmbN/+H1atf4eJFK3FxfZzq0o3D2rX/ZN68R7j77od44om3aNw4mOBgx7q6devFddfdSJ8+bTh27AhffbWLDh0ch3H2BhYLnDkDp07BypXv8e2383nwwXcZMOARAHJyisjOLiQoqB7Hjil33YgIfS4ikNmzV9OoUQInTwqEUOVbVAQpKZe5dOkimZl5pKbaXGlNJjXXozx/oggJ0XshZ5g2TS1C7NGjD126dNf0Wejbtw1NmjRnxYr1mExmjxkFd+NRQyCEGAS8BZiBRVLKpFL7nwQmABbgPPBHKaXrZlsN4MyZMwwfPrxEZdynTx9efPFFbr7Z5tHgaKhCSkmuo1VCFcBsNjNu3DhmzJjBmDFjaqwXkZSSVatWERERwcCBAx22QrOysti1a1e17xUaGsp7773HqFGj3NLaveMOWLIEjh+H559X8waNG6sWfYsWrtcSSKkqelf07/8Q/fvbchB06tQfq7WITp36Oz3n+PGDbNv2KfHxHQkJaU7z5lfz+ecL+eKLRSxenE3DhmHExkKDBmUnuYUQ3HzzQH75ZRuXL3s/Lr/VqrytLlxQ8yq6cWzatD2dOvUnNjYRgLNnU3j88TY0bNiKt95KQUo1KZ+RYbtWixZqdfXp0yXv0bLlIBYtykRKiZMpqRJI2YjBg5/iwoWT5OV1Z8sWZSxOnDjElSu5ZGZe4quvtjNnzlgWL95FXFzjMp5VQUE2F1LdxRRKftYXFRYVeW7SXsdjQ0NCCDMqTeVtwAlUDuP7pZT77I7pC2yVUl4RQkwB+kgp73V13ZowNBQXF0d6ejpnz56lYcOGTo8zmUy4q/xDQ0MZN24cy5YtK7OGwT6hS00gNzeX0NBQgoKCnI6Fv/LKKzz//PPVuo/ZbGbZsmVuLZstW2DbNpgzB0qPRJlM0K0b9O4N11xTcujCXVy4cIp580YTE9Ochx9eBsDixVNYv/59AFaulGRnn+OJJ9pgsRSyZEk2AQG22j8gQFVA69a9R7NmV9GpU28AzOaA4krK3tNHdx8NDLS5hwYF2Y4JD1ff7f3lrVbbttIUFiqjefEiZGWpYbGKPCIZGcd59NEEpJTExiYQH9+BZ55ZU/0C1cjOPseqVc+zf/8mXn99X4l927Z9yqFDWxg8+ClCQiI4fz6VhQsncuDAZp55Zi1dugxyi4aoKBg4sOrn+2po6HrgsJTyiCbiX8DdQHEpSik32h2/BSi/H18DaNq0Kenp6axZs4bbb7+dRo0aOTzOWXC1qrBgwQKXk6E1yRAUFhYyYsQIp0YyOTnZ6eR7ZbBarR4pl7g4mDkTNmyA335Twz5BQXDwIPz0k3o1b66OcXdi+5SUrezbt5H27W8q3jZ8+ItcupTOgAFTAYiMbMjLL//EwYM/EBAQRF5eDjt2fEFW1hnuuONxrly5yIcfPobVWsT7758lIiK2QiueK4tudPRWsfIeKmTDhgV06XIHDRu2rPC1oqPjSU4uIjV1J889dx1hYWXXhJw9m8KWLasIDW1At253ExnZiCtXsggPL39BoslkZsOGRcTGlvUKPHp0B1988So5OZlMnLiAZs2uYsiQGVgsBbRpc32Ff4Mv8WSPYDgwSEo5Qfs+BughpZzq5Ph3gTNSyjJO3UKIScAkgBYtWlznrsrTkwwYMIBvv/2WtWvXMmjQIFJTUzl//jwJCQnFvYTk5GTGjBlT7V5BQkICqampTnsYQohakZ5QJzEx0S0GVC+3f/7zn6xYsYL777+fMWPGVOuarlYWX7gAmzfDt9+qoHQ9eqhJ5cqMSP35z50JCAhixoz1hIWptRSnTx/k9OmDdOx4K4GBwaSkbMNiKeB3vyu7sMoRGRnHmTq1BcHBYSxcmEFu7iW++up1srLOMGXK0uLjcnKyMJsDqFevAhMfVWTTpuXMnz+W2NgE3nkn1elxUkqHQ3kWSwGZmacAiItLLLFv9+5vSEoq2Trv3HkgAwdO5ccfP+Laa++kZ8+RTu/500+fcOlSBv36TSyx/fDhn/jyy9cYP/596tevWJC7quDJHoFfuI8KIUYD3YDXHO2XUi6QUnaTUnbzRMCn5ORkEhMTHbpqVpVbbrmFESNGFK9WnTNnDtdffz0ffWQLBTBq1CgmT55c7ti0q/32rqmu1jC4A0+UU1VwtmivMtiX25EjR1i7di0HDhyo9nVdER0Nd90Fzz2nPFy2blXzCeXNC+hYLAUcP/4raWm7CAmxrROYO3cYr712J6dO7cdkMtO27Q0VNgIAMTHN6dt3PMOHv0hRUSEREbHcf39SCSOwZMkjTJgQxU8/OfaqcRcxMS20d9cL3p59titjx9bjyJGfS2wPCAgiLi6xjBEAaNGiM7ff/jgdO95avC09PZXU1F1s3ryCY8dcr7u5/vp7yhgBgDZtrufxx1d51Ah4Gk8ODZ0Emtt9j9e2lUAI0R+YAdwipXQ8IOxBPLU6d8aMGSW+N2/enG7dupXx5pk/fz69evUqdm/UXR91So/xuwopMWvWLIdxjtwxjOLNVcwFBQVYrVan3lPOhtRKl11pwsPDycnJKVNuI0eOpGvXrrRtW/4iK3fQpAk8/DC8+SasX6+Gj4YOVfMGugtpbq6a6Dx2THnJZGRAdnYgbdrkYjLl8/bbZoKDlVdMcPDLNG16gl27osjOVjGNwsPVtUJDKxafZtKkRYAaLnPU2o6JaU5gYDDZ2Z71o2/TpgfvvnucyEjnc2vnzxdx/vwACguf4oMPulC/PrRrJ9m791ECAo4wceIaoqPLTnyHhzdhwIC5nDsH/fpZOXHiDAEBTbh48Rw33HA7ly414ZNPlJumlGroKirKFiYjJMQ2FxIeruIygXp3VMZbt67myJHtDB36F+rVq1r4Cm/hyaGhANRkcT+UAdgGPCCl3Gt3TFfg36ghpEMVua67J4udDTPExMQQHh5e6Rg+W7duZdSoUdxyyy0sXry40nqqGzsoOTmZ6dOnc/LkSeLi4njjjTfcUlE7Kyd9eMWdrFq1ipEjRzJy5MgSPSgdZ4H9xo0bx5o1a4rXZABcuHDBq95TpYeGvvzydX75ZR1PP/0FgYEl/TRTUuDddynhqaJPwLrrsRTCZhgCAtSrXj1bjoOWLeF3v4OOHSE8/BLz5o2iXbsbufvu6SWuk5d3mYCAoBITy97CalUGcedO2L4djhwp/xyTyUrjxibCw1XAuowM9Xs9hW50wsJUzy84GI4e3UBu7j5uuukeGjZsSnCwLV5TVJQy4oGBysDoLrxBQbbPBQW2NSQFBWqNxIABcPXVjjWUh08mi6WUFiHEVOAblPvoEinlXiHES6iUaZ+jhoLCgVVaC+SYlPIuT2nSsa9snRlCPUcAVK71e/78eVJSUmjfvj35+flcuXKlUsHMRo0aVa0Ka9SoUSQmJnLTTTfRunVrt1V+zoZj3DFMU5q8vDwCAwMJK73CSkP/TTUh2F5y8tMA/Prreq69dnCJfa1bw+zZat5g/XplEHTP4eBg5c7ZvLlabKa7d9pX4nl5yrvm8mV13p492zl7NoO4uO5AdPH2ixfVyxEnTsAmLcxOWFgIFstsdu4M4uuvrUhpKp7QLSwMJzhYVVyFhba1CYWF6j0y0rYOIjLSZshatYJGjVQFGBKizrNa1TENGqjPelC6oiKYNWsM58/Ddde9SmZmE86dUz0i++Gz4GBVGXbqpAxZdjb88gv88EM+eXkBSHkKq7UZp06V/K0mE0RGFhERcZHIyACio+sTEQHHj/9K/fqNiYmJQ0pVtkKoe2ZlqXeLRZWl7sp5+bIqf1DH6/oKCpRzgOJW4FY2b67sf41zrr9eDSm6mzq3sthRa7KiVKT1m5uby/Hjx9m4cSOTJ0+mf//+Xg8nnZaWxpQpU+jcuTNJSUnln1ABvNkjADUZWFRUVGIFqKc4cOAAGzdupG3btiVWfVeF0j2Co0d3kp19hs6dB2AylR9u1GJxHpZ416617Nq1lq5dB3PNNWVnDVNStvG//63k/vuTilvuFouqtC5dUpWYXqHprdNDh2DfPjU8ZR991JuYzaolXTrUtD2xsaryv/Za6NzZcVA/KeHkyYPs2fMNUVHtaNJkIDk56tqxscoQvfTSzezfv4nGjdswd+4h9u/fxIsv3kzLltfx1FOflTs34Qg9Yiqocs7MtLXmL1xQn/V4Sir/gdp++bLNXVbvrRQW2gxMUJBteE9fId6zJyxaVGmJgLGyuASOXCwrSkVavyEhIbRr146cnBwCAgI4depUcSVqMpmYNm0ac+fOrdL9K0pCQgJr1rjHh1rvPTkyAu6af3CEEMIrRgDUcN6UKVMYM2ZMtQ1BaXfQli27Vup8Vz/5t9++55tv3iEioqFDQ9C6dXdat+5e5noNGqiXI9q0gdtvV5VoerpqXYeG2gyFxaJaxwEB8Nlnb7Fz5zqGDHmSq67qR0GBqqDy820JY/LzVStadwc9eFD1RoqKVAVXWKiuqyeZMZnUPr3HEhFh5eLFHcA2hg0bwDXXtKZJk5IrtGfO7E1QUAiTJ39IdHSz4u1CQHx8O+Lj2zktwz/+8T3eemskY8ao4HGtWnWjV68H+Pnnz8nJyaySITCZSs4XeCqBWXW9hlxR5wxBeZW52Wx2GnysMt43e/fuJSIign37bItPrFYrb775Jvn5+cyfP7/C1/IVrnpP8fHxJCUl+eVwTGVp3749Dz30ED169Kj2tZo2VT2C0kWmJ6h3FWO/PLp3H0JkZEPatXOehL2qCKEqMFeVmJSHOXduDVeu9KNJk4oZTFcVl9WqKlE9+UxEBAQEmNi+/SQFBVF06hRZXG46eXmXOXjwB0wmM+HhlffSad68I6+/XjxNSVBQCFOnJmO1FlWox1YZrNYiTp7cz6VL6XTocItbr+1u6tzQkCsfdFdeJxVdofvRRx+xbNkyNmzY4HRVrBCC5cuXe7QSlVKSlZVFeHh4lQPPuSqr77//nt69e1dHolNefvllNm/ezPTp06udMczbZGSosf6UFPjPf5L5/vvFnD2bwtCho3j66b9x8OBekpKeJSGhNwMHPu1ruZXi7NkU8vIu06hRa4+uJXCFlJILF05y+vQBOnWqXu/N01y5cpHx4yMJCgph6dKcaocwqfXrCLzJrFmzyiSvDg0NJSoqyqXrob5Ctzzf+XXr1rF27VqnRgDUP3Np91J307NnT6Kjo9m5c2eVr+Gq9+QqdEZ1SE5O5u9//zvr1q1j5MiRPlurUB3CwtQ4dkrK5+zatZHTp4/xww8q//ShQ/vYuPELli17hoyMwz5WWjkaNWpNQsI1HjMChw9v5YMPxrNp0wqnxwghiImJ93sjABAaGkHLltfRrl0v8vP9OyR8nRsa0lvhEydOLA7uFhISUuwh5IqKeA/df//9LFmypNxrecLbxp7o6Gjq16/PJWfZviuAM3/9hIQE2rdvXx15DtGHovS/S3p6ulcyruXn55Oeno7ZbHZr1NYHHniI+PhEQkPDueUWtaK1e/ebaNiwCefOnSYt7TNatfoT2dnlXysr6yw7d35F69bdadGiiv6DfkheXg4nTuwhMfFaUlN38d13S7hw4QQmk5moqCZ06NCn+NiiIgsmk7naLWs9HlJgYMmYR7prpx4nSXlL2Sawi4ps3lB6MDjd28lZG/Jvf/PvuGg6dW5oCFSFM378+BKt9vIWI9lTnqdMRUIgeMrbRsdisVR7snXFihWMHz+eAjvfvYCAAJYuXeqRitnbnkk63333HX379qVPnz5s3Lix/BNckJFhmzh1xmefJfPZZysYNmwcd955H9nZcPasbf5AD9AWHKxe9erB5s2fMH36MHr2HMhbb31dHEJZz/BltarP9i9XcxFms7p2YaF6VQSr1cqnn75CRsYxJkxYgKk6mdQ1nnyyPadPHyQpaTeBgcHs2/cdR45sZ+PGRdxww0gee8y2jmTduvl8++18Ro/+OzfccGdxKGndy8YRuudN/fqqHPWJcHenVbA3EAUFthDX+mf9pR+ru6Tq2/W/lZ6oHmzuuLoXWWRkxXNcOMLwGrJj9+7dTJw4sczQTWUMYnmteUcrfO3xpLeNjjs8bm6++eYSRgAgMjKSc+fOsX37dg4cOOBWX35vrlWwJywsjKZNm5bJJ+0phgwZxZAhtnKKjFQvV7RsGcedd95Hly49KuWVohsLfWJWjxBqP22ke/To7o16a1mv521RQ01MnfoOmZnpvPzyS8TFNS2OJqoHpdNTUIKq0C5fVpWenovXarX56H/44XROnz4IQF7eJRITO9OyZXtSU7tRVJRN1669SEy0rVnYtSuPEyf2Eh+fxzV2aREsFuXtdPGiOjYmxpZHwFt5dPT76MmA7JFSYrFYqp0kylneCHdQ53oEy5cvZ+zYsU73u/Ia0nHVQl2/fj3BwcEcOXKEF154waerXKtLamoqY8eO5ccffyyTtCUwMBCLxVLGgIaFhVGvXj0uXLjg8HeD84VgvuoRuBO9R5CWlsLu3T/RseO1nD17kn37dnHbbXezceMaoqJiGDToHoKDnScg8leWLXuXoKBgBg8eQUSEE5/UCnLXXd349def+eij7+nWrXe5oTAsFgtPP/0gr766pMZk3lu5ciGzZj3JffdN4i9/qV7KTyNDmRvp27cvsbGxDlNBVsQIuGrNJycnM3bsWKxWq8/dKzdt2sRf//pXwsLC2LNnT5Va7YmJiRw7dsxh5q5CJ+MJOTk55Ggrk+znXdLS0njwwQcRQhT3MtLS0hgzZgyjR492Wvbe6D2VThcKFTdepc9v1qwFTz01izNnTjB79nTuvXcCFy9msXbtv4mJacisWU9isVj47bcrnD17igYNYgj2ZFPPzYwb5zB4cJV4++1/sXfvTjp27IrJBGvXriY0NIwePW4pkXNZJyAggLlzl7vt/t4gLCycnJzLnD9/uvyDfUid6BHYL4rSKxxncwLlzRXoOYPtj3O0DXybFGb69OnMnj3b5TG6br1MEhISuOOOO4rj9bgzX0JV0HMOe7L8yltpHhgYWMJ4gfofmTx5Mr169eKxxx4r42gQEhLKmDGPcODAr4waNYWsrAz27t3JwIFD+e9/vyYzM4PU1EP89NP3rFq1mW7dXK8LyMvL5ejRQ7Rp87sa0xKuLOfOnaZ375YUFOSzY0c6oaHhZGSc4+LFLGbOfJQRI/7IsGHOe/L+ypUrORQWFhAR0aDak9ye7BHUekNQlZASlZk4Lg9fDGskJyeX8IqqiXgie5gj3JXboDTNmiWweXNq8ffgYBXiANQ4+YQJY9iw4Stee20pt93mOrzWmjX/5pFHRtC16w188smPbtdaGbKzM3njjb9itVp5+eV5Do/59defiY6Oo1mzii3AvOeenuzcuaW49zR//ip69GjKuXOnGTlyPB9/vJiRI8cze3YVYyvUEoyhoWpQlZASUkoSEhI4duwYJpOp3OEiV3h6otMRM2bMqNFGAKCoqMgrrqOe+vucOmW7bkSEWgyUm3uFkJAQhBAsXbqIzMwgpFSNjtdee46IiAZMnvwMAFu3fs+JE0cZNmwcsbGNaNSoKQMGDPGI1srw22+7+cc/3gXgmWeSCA+vT35+Xon5junTJ7Bv364SvZ29e3fStGkLoqLUauBHH72PrVv/y8qVykvLZDIxYsSDXHttTwAaN26GEIL77ptAjx630LZtB7f/FpNJTS7rE+j2cxR6493+0bePg2Tv3SOle3IKO0u24w1qfY+gKnmB7Vvx1c0r7IsegTtzIfsaT5efp3oEjRo1ZcuWk0RGKiMgpaR9+/bceOONLFy4kMDAQAoKVPCx9PRLXH11BMHB9di06SiZmRkMHNiJnj37Mm/eKqKiYsjKukD9+pGYze4Ng1BZioqKmD//b7Rt25GBA4dy/PgRJk0awuOPv8igQfdgtVqZNGkIu3ZtZdOmo4SEhFJQUED//lcREhLKypXfERHRgM6dI8nNvcLSpWtp06YD0dGxhITYFnq6u1IMDFQtaj3Ms71XlDvRXUF141BUBFOnTmLp0oXs2ZNG8+Yt+O67DTz99FQmT36C0aMnYrXCsmUfsGDBXN56axldu6pQJ4sXv01a2mEeffRp4uObExBQvneZK+p0j6C8cW5H4/r2k5PVGSf3xkSnIzw5th8aGlqmhxUWFkZubq5H0mF6ukc1a9YsRo92f6pss9lMRIQA3+guAAAQLElEQVSVqChV2xw6dKj4NXjwYEaMGEFQEDRuDEJYmTz5CXr0uIUmTRrRrFljhg0bTWRkJImJMZjNEBtrc23Vfc/1ysb+pbtoOvtT6C3fevVsgdL0/Af6QqrAQNVStnc31fMkgJk5c54vvt6cOXM5diyF556bwM03d6R9+/asWfO59kwJ8vNhz55DnDlzgn79bqdx40iCggJYt24HO3Zso1+/AYCJoiKbm6oKcicwm0tqs69cK5JDOShIDceFhTmOVuoJHEWOTUtTK8hVOtEWFBVlc/Dgb7z7bhKPPTYek8lEfv45UlIOsGTJq6xevRqAb7/9N5s2bWLMmGFcc03z0rdyL1LKGvW67rrrZGVYsWKFDA0NlUCZV2hoqJwyZYpMSEiQQgiZkJAgV6xYUeHzXb3MZnOZa3mLqmou76WXj6Py8uQ9PU1MTIzb9DZo0EDOnPmSvHKloMx9jh8/Lv/1r3/JwsLCcjXl5OTIr7/+ulq/y2qV0mKRsrBQyoICKYuKqnU5p+Tn58tDhw5Jq9XqdP8PP/xQod9dUaxWKfPypMzMlPLkSSmPHlWvtDQps7LUb/YXdu7cKefMmSNzcnKklFJmZmbKHTt2yPT09OJjUlNT5Y8//lh8jJRSfvzxx/LNN9+UqampbtGBygPjsF71aKUNDAIOAIeB6Q72BwMfafu3AonlXbOyhkBKWVx56RW0faVW1fOFEE4rg9DQUJ8ZgdKahRAyJiamuLKz120ymSpcwVXkN9mXU+ny0b87K7/AwEAZFBTkk3J0hxETQsgpU6Z4XKuBYwoLpbxyxb8MgL/hE0OAykqWArQCgoDdQIdSxzwMvK99vg/4qLzrVsUQeBpnreSagiNDpxuPqv6m8srE0X5flmPpe/fr16+MsbLvQVa1UWFg4CtcGQJP5izuCcyUUg7Uvj8LIKX8u90x32jH/KjlOD4DxEkXotyds9jAwBnVzR9tYOBP+GqyuBlw3O77CaB05o/iY6TKcZwNxABll/0aGHiZ6uaPNjCoKdSIfARCiElCiO1CiO3nz5/3tRwDAwODWoUnDcFJwN7nKV7b5vAYbWgoEiiTGEBKuUBK2U1K2S3OUwlBDQwMDOoonjQE24C2QoiWQogg1GTw56WO+RwYp30eDmxwNT9gYGBgYOB+PDZHoI35TwW+QXkQLZFS7hVCvISavf4cWAwsF0IcBi6gjIWBgYGBgRepcSEmhBDnAW+FxIzFPyeuDV2Vw191gf9qM3RVDn/VBTZtCVJKh2PrNc4QeBMhxHZn7la+xNBVOfxVF/ivNkNX5fBXXVAxbTXCa8jAwMDAwHMYhsDAwMCgjmMYAtcs8LUAJxi6Koe/6gL/1Wboqhz+qgsqoM2YIzAwMDCo4xg9AgMDA4M6Tp02BEKIauT78RxCiPq+1uAIfy0vACFElK81OEIIEeNrDY4wyqvy1Obnsk4aAiFEuBDiDeATIcTjQoguvtYEIIQIE0LMA1YLIR4QQrT0tSbw3/ICEEKEamX2tRDiUSFEV227T/+3tTKbC3wlhHhFCNHXl3p0jPKqPHXhuaxzhkArrHVAAfACarHFwz4VZeMlIAJ4BegKJPlWjt+XF8CTqIi144B6wAcAUkr3582sIEKItsCnQBHwR+A88Jyv9JTCKK/KU+ufyzpnCIBs4D0p5XQp5WZgE1CkWX33ZcuuIFqwPYQQ4UB94G9Syu+BWYBJCPEXb2sqhV+VF4AQop72HoBKevRPKeV+KeVrwHmtZenLVm4OsEBK+Scp5T5gDXBaCBHvCzFGeVWeuvZc1npDIIRoK4T4s/5dSnkU1frQuQK0k1LmeDPgnRDiKiHEh8BLQogEKeVlIAp4QNOZBcwGhgshGntRl1+Wl6atnRAiGXhHCNFNSmkBwoGedodNBsYIIeK91coVQrQXQryqf5dSngLW2h0SClwlpTzhDT12uozyqry2Ovlc1mpDIIR4ANgAPC2EmKRtM2t/XJ1WwF4v64oBPgT2oALy/U0I0R94FhgphNDjgfwCfAcM9pIuvywvTUcIahhjN6pcHhFCjEc9lJOFELEAUsrjwApgopd0DQY+Af4khJiubQsoVWbRqNzdXsMoryppq7PPZa02BKisaOOAu1D//KFSyiKh0H97K2AHgBDibiFEghd0XQVckVLOQf2TrQXuRf3zfQLMBZBSFqDGTb2VjcdfywugNZAjpXxVSvkOsAgYCoQA71Fy0cxB7bfgheGrs8AooB3wjBAiXIu8a7K7dwe0h1SbbGznYU1glFdVqLPPZa02BNqY3iYp5Y/Ar8BMbZfJrht8NdBcCPE5MBqweEHaDiBYCHGdpuMHVMrOoZrGG4QQk4UQA4GbAa902f24vJBS7gEShRA3a5t+Af4D/BmYAUQLIV4QQowEJgC52nkeHb6SUm4H9kspDwNfA+9ru4TdvW8C4oQQn6IqwUJPatJ0GeVVeeruc+ksq31NegGRpb4LB8d00grxarttcajwrP8D7vWAriggsLQulAfCc8ArdvvuBt7UPvcCngC2AKO8pcvX5aXdI8jBNpP2/iiwwm57F1ROi1hUC3MsypPCE2VWRpeTv2sW0N1uXzCqEv4ZGOkBXQ2AAHstflJeZXT5Q3lp94gGQp3o8eVz6VBXqWM88ly6vZC9/QL+AuxCtXLu1baZnRz7ErBY+3y99v4HD+l6ATiG6oJPc7C/v/ZQ/l773g7YDtTzcHm51OWr8tKuPRs1bNFS+y5K7W8DrAbGad9jUImPGnu4zFzqsv+fA54HNmqfB2nvQzyk669apfA+MNVeh4/Ly6UuX5WXdu2/APuAJcB0B2Xmq+fSpa5Sx7r9ufTYD/PGC5gEfIHKh9wVNWbXxsXxgSjLeRl4Ga3l5AFdNwLrUS2MLsAhoFepYyJQLbIdqLzNw1FeALEeLK9ydfmovMzAU6gJwkXAH10cOwBIAa4FRgIbgRZ+oMu+xWsBLgFvYdfzcqOuBihD/k/U2HBv4LRewZfS4s3ycqnLV+Wl3SMSZcxXavXFNaic6fW1/XovyqvPZXm6nJzj9ufS7T/M0y8gQns3A68CQ+32rQe+cvRPh+o+fY7KpXyTh7TprZwewCq0VgTwOLAMaObgnOeB5agWVE9/0OWt8ip1zwRUi3UsMAfopmtxcOwU4G3U8IFTQ+YDXbHAQmCnJ3WhJnzvLLVtCTDQyfFeKa8q6PJKeWn3CkTr0Wnf70b1WMoYT+27x5/LiugqdazHnkuPFbwHCixK+6fRZ/LroVprHwGNUYs+3kRZ037aOSa784PQup5u1hUDzMeulQX01ba10XUAXwIPaN/NlGwRhfqJLo+Xlwttgdp7PGoo5kkgRNsm7N/1MvQXXXbHBniiQnOiK9zuc32tYmhZ6jxflFe5ujxdXs60adtNWv2RhmqJb8Y2JOWT57ICujxfj3nij+ChP+wH2qsvqsJfqG1fiPKD3qcV5CNAcqlzy7Te3KSpA/Atyqthsd32AODfqFZkqLZtFLDFS2VVLV2eKi9X2kodMwzVgh3gxf+vmqwrGuWB45FhlZqkqyLagFZ2n0cDv9UEXZ58LmuE+6hQUf8CgVlSyo2oyZJ4IcQEKeVE1OTU7VLKj4AM1OROsU+01ErRA2QDL6LG+W4SQvTW7mdBGac7AD1X6L+BVOGdCJ7V0uXB8nKqDUr4sP8HNaHdSQgxTQhxrwf11FhddrQCLkkpC4UQwzX3xrqqy6k23edeSnnE7tiPgWNCiIb+rsuTz2WNMARSykuosdph2vcLqG76w0KISCnlESllmhCiNTAeuKAd58kKDSnlSWCnlPIKapJspt2+z1Dd4ilCxSVZA1yUUmZ7UpM/66qANimEEFIt478ETAemAZmGrrK67OiH8n9fAvwJbU1AXdTlSpvUfO51wy5UsLuPgUNSynN1VZcuzq9f2CY6b0KtNgzTvtdDjaXdp30fCuwHnvKh1p+B8Xbfg4DOwOtobnSGLtfatG0JqLFSv/lb+rmueaiFTw8ZusrXhopl9Bha6A1Dlx/NEaBWPI7WPttP2JiwTRYuR0Xc0/e9C9ymfW6GB3x9Xemy+xygvd+JGpYyAfegeePggbE9f9XlBm1Nte3Bhq5ydQ1DBZG7Ac9MbPqlLjdoi0SF4PC3MvOYrnJ1e/uGDgquPqpleh7V2oq022dfkM1RPr6pwB9QAZ9+Bvr7WFe7UuftQYXV/T+gUV3R5SZtn/tpmfmrri+BuLqiy03avvDTMvOIrgrr99mNbVbRDAzWPi8HXrcvPJTb3krg/7Tv/VDjjT8Cw/xA12qgIcqH+kngCHB3XdHlz9oMXbVDlz9r81ddlf4dXr+hcmF8HbWKcIBeiNp7AnAU6Gh3/HDgzzVBF3bxP2q7Ln/WZuiqHbr8WZu/6qrqS7dWXkGbFZ+HGuJZixri+QxYJKXM145JAtpLKYc6ON8spSzyQ10BUrlm1gld/qzN0FU7dPmzNn/VVS28aXVQBfc/bPE9BqIs6mi7Y4JQs+Y9gY7Ardp2Ty5yMnTVEm2Grtqhy5+1+auu6ry8uo5ASnkR22QvqHjfO4EbhZb2TaqkD//Q9q1GxddAaqVo6PK9Ln/WZuiqHbr8WZu/6qoOvlhQ9inQRQjRRKpUa78AeUATACFEH1TavL9LKa+SUv7H0OWXuvxZm6GrdujyZ23+qqtK+MIQbEaFUP0DgJRyB3A9ajEFqAUovaWUMwxdfq3Ln7UZumqHLn/W5q+6qkSAt28opTwthPg/IEkIcRgV7iAPlQMUKWWKtzUZumqXNkNX7dDlz9r8VVeV8cXEhDZMdjsqVvl+fBzmwNBVO7UZumqHLn/W5q+6KvvyqvtoaYQQgaj5E79ypTJ0VR5/1Wboqhz+qgv8V5u/6qoMPjUEBgYGBga+p0aEoTYwMDAw8ByGITAwMDCo4xiGwMDAwKCOYxgCAwMDgzqOYQgMDAwM6jiGITAwKAchRJEQYpcQYq8QYrcQ4ik94biLcxKFEA94S6OBQXUwDIGBQfnkSim7SCk7ArehFhG9UM45iYBhCAxqBMY6AgODchBCXJZShtt9b4UKKRCLSkKyHAjTdk+VUv5PCLEF+B0qQcky4G0gCegDBAPzpJQfeO1HGBi4wDAEBgblUNoQaNuygPbAJcAqpcwTQrQFVkopu2nRJ/8kpfy9dvwkoKGU8hUhRDAqPPEIKeVRr/4YAwMHeD3onIFBLSMQeFcI0QUVcKydk+MGAJ2FEMO175FAW1SPwcDApxiGwMCgkmhDQ0XAOdRcwVngGtScW56z04BHpZTfeEWkgUElMCaLDQwqgRAiDngfeFeqcdVI4LSU0gqMAczaoZeA+nanfgNM0QKUIYRoJ4QIw8DADzB6BAYG5RMihNiFGgayoCaH39D2zQdWCyHGAl8DOdr2X4AiIcRuYCkqp20isENLfn4eGOKtH2Bg4ApjstjAwMCgjmMMDRkYGBjUcQxDYGBgYFDHMQyBgYGBQR3HMAQGBgYGdRzDEBgYGBjUcQxDYGBgYFDHMQyBgYGBQR3HMAQGBgYGdZz/B0W5gsP89jPSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "147b63f7c86e48f0bddcf92636c3bd99",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 4.716095447540283, 'log': {'agg_test_loss': 4.716095447540283, 'agg_test_loss_p': 4.716095447540283, 'agg_test_loss_mse': 0.05077759549021721, 'agg_test_loss_p_weighted': 0.8114907741546631, 'agg_test_score': 4.716095447540283}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.821728</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.014804</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.049933</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.539386</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss               3.264200e-01             0.583979   \n",
       "agg_test_loss_p             3.264199e-01             0.530546   \n",
       "agg_test_loss_kl            1.415805e-07             0.053432   \n",
       "agg_test_loss_mse           5.554044e-02             0.050668   \n",
       "agg_test_loss_p_weighted    6.167767e-02             0.099437   \n",
       "agg_test_score              3.264199e-01             0.530546   \n",
       "n                           1.000000e+00             1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                               0.600801   \n",
       "agg_test_loss_p                             0.600801   \n",
       "agg_test_loss_kl                                 NaN   \n",
       "agg_test_loss_mse                           0.044556   \n",
       "agg_test_loss_p_weighted                    0.113829   \n",
       "agg_test_score                              0.600801   \n",
       "n                                           1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                                    0.603395      0.908300   \n",
       "agg_test_loss_p                                  0.603395      0.899200   \n",
       "agg_test_loss_kl                                      NaN      0.009100   \n",
       "agg_test_loss_mse                                0.047060      0.052031   \n",
       "agg_test_loss_p_weighted                         0.114300      0.172292   \n",
       "agg_test_score                                   0.603395      0.899200   \n",
       "n                                                1.000000      1.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                   1.405925                  1.629111   \n",
       "agg_test_loss_p                 1.398106                  1.629111   \n",
       "agg_test_loss_kl                0.007818                       NaN   \n",
       "agg_test_loss_mse               0.050875                  0.051648   \n",
       "agg_test_loss_p_weighted        0.257106                  0.275075   \n",
       "agg_test_score                  1.398106                  1.629111   \n",
       "n                               1.000000                  1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               2.607442             2.559804   \n",
       "agg_test_loss_p                             2.493560             2.559563   \n",
       "agg_test_loss_kl                            0.113882             0.000241   \n",
       "agg_test_loss_mse                           0.058096             0.051622   \n",
       "agg_test_loss_p_weighted                    0.467946             0.454760   \n",
       "agg_test_score                              2.493560             2.559563   \n",
       "n                                           1.000000             1.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                    2.821728             4.716095  \n",
       "agg_test_loss_p                  2.806924             4.716095  \n",
       "agg_test_loss_kl                 0.014804                  NaN  \n",
       "agg_test_loss_mse                0.049933             0.050778  \n",
       "agg_test_loss_p_weighted         0.539386             0.811491  \n",
       "agg_test_score                   2.806924             4.716095  \n",
       "n                                1.000000             1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'anp_c', 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANP'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=anp_c, trial=<optuna.trial.FixedTrial object at 0x7f8d6d000cf8> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp_c/version_-1000/_ckpt_epoch_5.ckpt\n"
     ]
    },
    {
     "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": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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yJjExkdDQUB577DGzpbgkjz32GCNGjODkyZNmS9Fo3AZnLkyzWCl1Tin1exH545VSB5RSB5VSW5VSnZ2lpSJRrVo17r33Xtq1a8fhw4fNluNy/Pzzz6xatYqkpCSzpWg0boMzawSfAoNt5J8A+olIR+AVYJETtVQY6tevz3PPPcfGjRsZPXq02XJcii5durB//34+/PBD3b+i0TgQp/URiMhmpVSwjfyt+Q63A02dpaWiUaNGDTp06KBDTJSQ2NhYAEaOHEnt2rVNVqPRuA8VpbN4EvCj2SLKg8zMTLy9vdm6dSu1atUyW45LcfDgQbKzs3VoDo3GwZjeWayU6o/hCJ6xUSZUKRWhlIqIi4srP3FOYOvWrfj7++u1iktBo0aN+OOPP1i8eLFes1ijcSCmOgKlVCfgY2CkiBQZM0BEFolIiIiENGjQoPwEOomGDRtSr149s2W4JP/+978JDQ3l4MGDZkvRaNwG0xyBUioQWA7cJyJHzNJR3vTv358///yT3bt307FjR7PluBTTpk1j3bp13H///QQEBJgtR6NxG5y2ZrFS6ivgJqA+cBaYBVQFEJGFSqmPgTFApPWUS0Wtp5kfd1iz+Pz589SpUwc/Pz/Onz9vthyXwcvLi+zsbDIzM/Hy8jJbjkbjUthas9iZo4bGFZM/GZjsrOtXZHx9fTlx4gRVq1Y1W4pLMX/+fLKzs/USnxqNgzG9s7iysWzZMq6//nq++eYb3bxRQiZPnsy9997LuXPnSEtLM1uORuM2aEdQzsTGxhIREaFHvZSSRx99FH9/fx3CW6NxINoRlDN33303O3bs4OTJk/zjH//AYrGYLcklyMnJYeXKlezYsYOGDRvqZjWNxoE4rbPYWbhDZzHojs+SkpqaSs2aNalevbpuFtJoSoEpncUa27zzzjsopfDw0JUye/Dw8GD48OHaaWo0TkA7gnJm7dq17Ny5k8GDB9OjRw+z5bgM1atXZ9WqVWbL0GjckmI/R5VSHkqprkqpYUqpm5VSDctDmLuyZs0aZs2axfbt282W4pLMnz+f7t27s3jxYrOlaDRuQ5E1AqXUNRjxfwYCR4E4oBrQWimVBnwIfCYiurezBAwZMoTatWuTlpbGmjVrGDBgANWqVTNbVoUnty9Lj7rSaBxPkZ3F1pnBC4BfpUAha63gHiBJRD5zusp8uEtncUBAALGxsURHR+v5BHYQHR1Ns2bNANixYwdNmzalSZMmJquq+Lz44ovEx8czf/58s6VoTKZUncW2ZgaLyDngHQdoq7T079+fxMREPQzSTnJycgBo1qyZ7luxExHhlVdeASAsLIw6deqYrEhTUbGrs1gpdQMQnL+8iHzuJE1uzZEjR0hLS2PBggV6PYISEBQUhMVi0fMuSsjy5ctJTU3VTsBOVq5cyY8//shtt93G0KFDzZZTbhQ7j0Ap9QVwDbAPyLEmi4j808naCsXVm4YGDx7MunXr+OGHHxgyZIjZclyOXbt28eOPPxISElKp/lA15UOHDh04dOgQNWvWJCUlxWw5DqWs8whCgPYF+wk0paN58+Z06tSJunXrmi3FJdm5cyezZs1i2rRp2hFoHE6vXr04dOgQLVu2NFtKuWJPjeA74J8icrp8JNnG1WsEuXTv3p3du3eze/duunbtaracCs/Jkyd55JFHiIuL49Zbb+X6669n+PDhZsuq0MTGxhIQEEC1atWIiorCHRZ1cjZnzpzh2LFj+Pv7u92a4qWqESilVgEC1AL+UErtBDJz80VkhKOFViZEBBHh0qVLZktxCc6fP8+aNWvo1KlTXgeoxja5q7hlZGSQmpqqHYEdNG7cmMaNG5sto9yx1TT0VlkMK6UWA8OBcyLSoZB8BbwLDAXSgAdFZE9ZrulKbNu2DU9PTx1iwk6aN2/OqlWrqFGjhtlSXIZGjRrRrFkzrrnmGu0E7GTv3r2cPn2azp07V6ph3c5coexG4CLweRGOYCjwKIYjuB54V0SuL86uqzcNXX/99cTGxrJlyxYCAwPNluNynD9/nhMnTuDr68s111xjthyNm9G7d2+2bt3K4MGD+fHHH82W41BsNQ3ZE2JitFLqqFLqglIqWSmVopRKLu48EdkMJNooMhLDSYiIbAdqK6X8i7Pr6sTExBAdHa1rAqXkp59+olu3bjz11FNmS9G4Ibmz/Ddt2mSykvLFnlFDbwC3ichhB187ADiV7zjamlYhOqWdxd69e0lPT+ejjz5i//79vPjii3Tr1s1sWRWe2NhYVq1axZEjR+jcuTPBwcFmS6rwJCYmsmzZMrKysrjrrrt085AdLFiwgMWLF9O2bVuzpZQr9jiCs05wAiVCKRUKhAIu35yS+8eYOx4+NDTUZEWuwV9//cXUqVPp168f+/btM1uOS/Diiy8yb948AHr27KkdgR20bt2a119/3WwZ5Y6tUUOjrbsRSqlvgO+5ctTQ8jJeOwZolu+4qTXtKkRkEbAIjD6CMl63QjBz5kweeughXRuwE39/f0JDQ2nVqpXZUlwGb29vAGrUqEG9evVMVuMaiAjGOJbKha2gc0tsnCciMrFY40oFA6uL6CweBjzC5c7i90Sk2CAyrtxZnJOTQ2hoKNWrV+eDDz4wW45GoylAr1692L59OwsXLuShhx4yW45DsdVZbMsR3AOsE5GEUl70K+AmoD5wFpgFVAUQkYXW4aMfAIMxho9OEJFi3/Cu7AiWLFnCxImG/wwKCiIsLIzx48ebrMq1iIiIYNSoUXTp0oXVq1ebLUfjZvj5+ZGcbIyFcbdgCqUNMdEM+E4pVRXYCPwI7LQ31ISt6KXWfAEetseWOxAeHs4jjzySdxwZGcnEiRM5c+YMTzzxhInKXIP09HSSkpJISEggJiZGh6C2k6SkJNLT06lbt65e98IO9uzZw/Dhw2nTpo3ZUsoVe0JM1MJYnGYw0AM4DKzFqC2cdbrCArhqjSA4OJjIyMir0uvVq0d8fLwJilyL5cuXM2bMGIYOHcrChQupXr069evXN1tWhWbgwIFs3LgRMJZIHTRokMmKNGZSpqBzIpIC/Ne6oZRqDwwBPgf0L8tOoqKiCk1PTLQ11UKTi7e3N/7+/jRu3DhvgRqNbXbt2gUYY+OrVNHLk2uKxt71CAKAoHzld4nIv5ymyg0JDAwstEbg6sNhy4thw4YRGxtrtgyXYuvWrZw/f55evXrpCYx2MmXKlLwV3fz93X5+ax7FOgKl1FzgLuAP8q1HAGx2oi63IywsjMmTJ5ORkZGX5uPjQ1hYmImqXI/4+HheeOEFateuzWuvvWa2nArNtddea7YEl+Obb74hJSWFjRs35nUaVwbs+UwYBbQRkaEicpt105FHS8j48eOZO3cu1atXB4wlF998801GjhxpsjLXIjU1lYULF7J06VKzpWjckM8+M5ZgT09PN1lJ+WKPIziOddinpmz885//JC0tDRHhzjvv5OGHH2bhwoVmy3IJvv/+e7p168b8+fOZN29epZz9WRKio6OZMWMGzZo147rrruOHH34wW5JLMHLkSI4dO8aJEyfMllKu2JpZ/D5GE1AasE8ptZErZxabslSlu+Dr60vDhg3zZn9qbBMXF8fevXu57rrrmDt3rtlyKjwnTpzIazqLjo7WI9PsxMPDw+0WpLEHWxPKHrB1ooh85hRFxeCqw0fh8gSVyjiFvazEx8cTGRlJvXr1dMA5Ozh58iTh4eGkpaUxevRogoODdZgJO1i0aBGenp48+OCDeHp6mi3HoZR2ZvEoYKuInHOmuJLiyo7gt99+o2/fvvTp04dff/3VbDkuSU5ODuvWrcNiseilKjUORUTw9PRERAgNDeX999/Hy8vLbFkOo7TrEdwL7LWuRfCZUipUKXVVzCCN/eTkGIOu9FC+0nPp0iWGDRvG6NGjiy+s0ZSAXAcARs0g/wg/d6fIPgIRGQt5geNusG4PKaUCMeYRDC0Pge5Ev379sFgsWCwWli5dynvvvcf48eOZPn262dIqPFu2bGHDhg306tWLQYMGudWXmjM4fvw4cXFxHDlyhGPHjjFo0CB69epltqwKjYeHBwsXLqRr165YLJZK1X9nz8zik0qpakB165a7rykFSik8PT05d+4cu3btok+fPmZLcgm2bNnC7Nmzeeqpp1i7dq3Zcio8Cxcu5M0338w79vX11Y7ATtwt6qg92Bo1NAPoBTQA/gK2Y0QLDRWRnKLO09jH3XffTe/evXXwNDu54YYbmDVrFjfccIPZUlyCgIAAevToQdu2bWnevDk9e/Y0W1KFJycnhzNnzuDt7V3p4ljZ6iz+E0gFVgFbgR0icqEctRWKK3cWb926lVdffZUbbriBGTNmmC3HpdEjsDSOJiYmhqZNmwKwZs0abrzxRmrWrGmyKsdRqs5iEWkL3AJEYKwr8F+l1E6l1EdKqQlOUermxMbGsmbNGvbs2WO2FJemQYMGeHh4kJSUZLYUjRthsVjyaujDhg3j1KlTxZzhPtjsIxCRRGC1UmotcB1wI/AQMBGwtYKZphB69+7NqlWraNSoEQcOHGDFihV06NCB22+/3WxpFZ7o6GjOnj1LQEBAXi0gOzvbZFUVnzNnzhATE0OjRo3yvnY1hdOsWTNiYmKYMmUK0dHRlWv9BhEpdANGAK8DvwKJ1n9fB0YCDYo6r4CNwRj9C38DzxaSHwj8DOwFDgBDi7N53XXXiTvw+eefCyD33nuv2VJcgmeffVYAueOOOyQwMFCUUhIUFCRLly41W1qFZMqUKdKgQQPp2rWrADJjxgyzJWlMBoiQIt6rtmoEDwJbgKeB3SKSVRIHo5TyBOZhNC9FA7uUUitF5I98xZ4HvhWRBdZ1Dn4AgktyHVelU6dOPP/883Tu3NlsKS6Bv78/QUFBrFixgqws46cYGRmZN+5bL/l5JUlJScTFxdGtWze6detWqUIqa0qOPSuUDRGRHwukTRURm9HSlFK9gJdEZJD1+DkAEXktX5kPgeMiMtda/l8iYnNYiCt3Fv/xxx/8+uuvtG/fnr59+5otx+UoapW3oKAgTp48Wf6CKjApKSmkpaXh6+ubF/FWY5sDBw7w4IMP0qVLFxYvXmy2HIdT2pnFubyglLo5n7GnMZqHiiMAyN/bEm1Ny89LwL1KqWiM2sCjhRmyzmqOUEpFxMXF2XHpisnmzZuZOnUq4eHhZktxSYpa5a2o9MpMrVq1aNSokXYCJeDChQvs3buXJUuW4OnpyYYNG8yWVG7Y4whGAK8qpfoqpcKA67HPEdjDOOBTEWkKDAW+UEpdpUlEFolIiIiENGjQwEGXLn/atWtHaGgoffr0ITk5mX379nH06FGzZbkMRa3mpld50ziCrl27snv3bgIDA7FYLJVqMII9M4vjlVIjgJ+A3cBYKa49ySAGyL+4bFNrWn4mYXQoIyLbrDOY6wMVKtCdo+jXrx/9+vUDjMXEhwwZwqBBg/RMWTt4+umnSUpKwsvLK6+PAPQqb0Xx2muv8ffff9OkSRM++eQTxo8ff8VMY83V1KxZk27dunH06FE8PT3dLvqoLYqsESilUpRSyUqpZIxRP62BO4DctOLYBbRSSjVXSnkBdwMrC5SJAgZYr9cOI3yF67b9lAA/Pz86d+5M8+bNzZbiEiQlJZGcnMy9995LUFAQSimCgoJYtGiR7iguhNWrV7N48WKioqI4ffq0nnNRAry8vCqVEwA7OovLZFypocA7gCewWETClFIvYwxjWmkdKfQRUBNjEZynRWS9LZuu3FmcnJzMxYsX8fX1dasZi+XBhQsXSE1Nxc/Pjxo1apgtp8Lzww8/cPr0afr370+1atWoUaMGfn5+Zsuq0Bw8eJBly5bRqVMnxowZY7Ych2Ors9jWHIDgovKs+QpoaquMMzZXnkfwyiuvCCAzZ840W4pLs3btWlm4cKFERkaaLUXjRoSHhwvGB6mMHDlSNmzYYLYkh4KNeQS2OovfVEr9Ryl1v1LqWqVUQ6VUoFLqZqXUKxhzDNo50GG5PT4+Pvj7++Pr62u2FJfmvffeY+rUqRw4cMBsKRo3okOHDsyaNYvatWuzYsWKSrVusc2mIWvTzXigN+CPsX7xYYyhnstEpNxXbnDlpqH8HDx4kKFDh9KuXTvWr7fZGqYBPvzwQ9Zi6msAACAASURBVHbv3k1oaCjbtm3j999/Z9q0aXpCXhGsXbuWjIwM6tWrxxdffEHXrl35xz/+YbYsl2D37t1ERUXRtWtXt1oWtVRNQxV1c+Wmofzs27dPAOnYsaPZUlyCMWPGCCDffvut2VJcgubNmwsgb731lgAyatQosyVpTIZShpjQOJF27doRGRlZuQJblYGpU6dyyy23cN1115ktxSW49dZbOX36NH379mXhwoV6dJodxMbGEhsbS5MmTSrdOiFOHTXkDFy5aeiNN97gm2++4amnnuLuu+82W47LkpycTEpKCn5+fnr0lcZhvP766zz33HPccsst3HXXXXTt2pVu3bqZLcthlDXEhMZBREZGsmfPHhISEsyW4tI8+eSTNG3aVIfq0ACwbt06unfvzp9//lkmO40aNeK6665jz549TJ48mRUrVjhIYcWnWEeglFqulBpWWOgHTcl49tlniYiIYOzYsSQlJTFt2jSeeeYZs2W5BFu3bmX16tXExcVRt25d/P39K9Xi4iUlIyODnJwcEhISWL16Nb/99pvZkpzG7NmziYiI4P333y+TnQkTJhAREcHixYuZOHEiXbt2dZBCF6CozoPcDRgIhAPHMNYjaFPcOc7c3KWzODY2VgBp3Lix2VJcgptvvlkAtxvb7Sy8vb0FkLVr1wogffr0MVuS01i4cKEMHz5cVqxYYbaUCg2lnEeQ6yh+EpHxQDfgJPCTUmqrUmqCUqqqU7xTJcDPz4958+Yxd+5ch9kMDw8nODgYDw8PgoOD3arppGfPngwbNgxHBR1052cF4OnpiVIKf39/hg0bxg032Izu7tI89NBDrFq1ihEjRhSav2PHDu6//37OnXPLEGaOoSgPkX8D6gHTMdYvXgncBbwP/GLP+Y7cXLlG8O2338qsWbPkwIEDDre9dOlS8fHxyZsZCYiPj49ewasQKtOzslgsZktwOjt27JADBw5IVlZWofm5/8fTpk2zaeeZZ56Rxo0by8KFC+Xs2bOSlJTkDLmmgY0agT1O4L/AH8BzgH+BvCINO2tzZUdw5513CiBfffWVw20HBQVd8WLL3YKCghx+LbP55JNPpFu3bvLBBx+U6vzK9KwqA/Xr1xdAYmJiCs1fvXq1PPbYY7Jr1y6bdqZMmSKAhISECCCTJk1yhlzTsPW+tqcD+D0RaS8ir4nI6QK1icJnqWkK5Y477mDWrFl06NABi8XCjz/+yOrVqx1i290XbbFYLLkfH5w9e5Y9e/Zw6tSpYs4qHHd/VgUREXJycsyW4RREhPj4eMAY/lkYw4YN49///jchIbZfV2+99RYxMTGEhoZSv379yhXcsCgPkbsBowvZBgANizvXGZsr1wjyc+nSJQHE09PTIfbc/Ss3dxH2iIgIiYmJkV27dhX5BVgcRT2revXqOVi1OSQnJ8vAgQPljjvukEOHDgkg7dq1M1uW03j33XcFkOnTp5stpUJDGWsEk4CPMWIOjccIG/0MsEUpdZ8jnFFlxMPDg0GDBjFkyJC8L92yEBYWdlUMdXdatCX3GXl6etKkSRNCQkJKPfszLCyMqlWvHueQkpLiFp3GaWlp/PTTT/zyyy95vwmLxWKyKufxyCOPYLFYeOedd67KO3z4MLfccgu33norW7duNUGdi1CUh8jdgPVAo3zHjYB1QF3g9+LOd/TmyjWCw4cPy65du+TChQuydOlSCQoKEqWUBAUFOaSjctq0aVfUBNyt89NisTis87NevXpuW4PKyMiQdevWyYYNG8RisUhOTo7Zkkzjs88+y/u/feqpp2yWfffddyU0NFT2799fTurKF8rYWfxHgWOVmwbsLebcwcBfGCucPVtEmTsxOqMPAV8Wp8eVHUHuWPjnnnuu0oxacQb79u2TF198UZYtW1ZqG0qpQh2BUsqBSjXOZu3atVK7dm158MEHC80/cOCA9OvXTxo1aiT/+c9/bNoaPHiwAPLCCy9Ijx495JFHHnGGZNOw5QjsCTr3i1JqNfCd9XiMNa0GcL6ok5RSnsA84BYgGtillFopIn/kK9MKYzRSbxFJUko1tEOPy9KqVSvOnz/PkiVLSEtLuyIvLS2NmTNn6mUX7eDgwYO8/PLLjB8/vtQrSfn6+nLhwoWr0gMDA8sqT1OOxMXFcf78eT799FNatGjBCy+8cEV+x44d+eWXX+yyNX36dEaNGkXVqlXZuXMntWrVcoLiiok9juBhjA7iPtbjz4H/WD1Mfxvn9QD+FpHjAEqpr4GRGF//uUwB5olIEoCIuPWMj4ULFwJG/0BhlGXUSmZmJtu3b+f48eM0bNiQYcOGldpWRWTixInExcXx0Ucf0alTJ2bNmkWnTp1Kbe+f//wnr7/+OtnZ2Xlp7tKnEh8fz5dffkmjRo0YNGgQ9913H7Vq1eLLL780W5rDGTduHNnZ2UycOJGdO3eWydbgwYMBY1nU9u3bU6dOHUdIdA2KqioY73k8gZ9tlbFx7ljg43zH9wEfFCjzPfAGxmpn24HBxdl15aahXJwxwid3dEju5m7tws2aNRNATp486TCbzuinqQjs2bNHAOnUqZPEx8cLIHXr1jVbltM4ffq0rFy58qp5AhaLRZYtWyZbt26VqKgoOXPmjEkKKwaUtmlIRHKUUhallJ+IXF2PLjtVgFbATUBTYLNSqqOIXNHkpJQKBULBParuYWFhhIaGXtE8VNav0aysLHr27Mn27dsZOnQoOTk5RdY8XJElS5aQmprqsBATAOPHjycwMJDDhw9z44030rZtW4fZNpN69erxyCOP5C2LumLFCrde96Jx48bcdtttV6UnJiZyzz33kJWVBcCIESNsRhTdtGkTqamp9OvXr/ItJ1uUh5DLX+0rgCjgE+C93M2O83oB6/IdPwc8V6DMQmBCvuONQHdbdl25RnDTTTeJv7+/HDp0yG2/RsuD5ORkiYiIkD/++KPUNg4fPizbtm2TUaNGCSAfffSRAxVqyos333xTJkyYIHv27Lkq78KFCzJv3jwBpEmTJvLAAw/YtNWhQwcB5KeffpI5c+bIvHnznKTaHCjjqKEHCtvsOK8KcBxoDngB+4FrC5QZDHxm3a8PnALq2bLryo6gffv2Asjvv//uULuVzals2rRJAOnXr1+pbeSG+xg6dKhMmTJF/ve//zlOoKbcGDBggAAyevRo+frrr6/KP3nypGzZssUuWw8//LAMGzZM1q1bJ4C0bdvW0XJNpUyOwDif6pQi/DQwFDiCEcJ6pjXtZWCEdV8B/8boQD4I3F2cTVd2BPHx8RITE5MXHOv555+XoUOHlmnccmUJoPbJJ5/Ihx9+KBkZGbJnzx7p2rWrTJ48udT2Zs6cKT179pSff/7ZcSIrCKmpqXL8+HE5d+6cWCwW+fDDD2X+/Plmy3IKmzZtkkcffVQosP73li1b5Ndff5X09PQS24yLi5MZM2bIu+++60ipplPWGsFtGHMBTliPuwArizvPWZsrO4KCDBw4UABZt25dqW0U1fHcpEkTByo1n1q1agkg58+fN1tKhWfNmjUCyODBg8ViseT9Jtw1EmlMTIxMnjxZXn755by0pk2bCiCRkZEmKqtY2HIE9gwffQljKOgvACKyTynVwo7zNMUwa9Ys/vnPf5ZpJaSihpyePn260HRXZcKECaSlpTl8VbLU1FSSk5Px8fHBz8/PobbNwsvLi6CgIBo3boxSitDQUDw8PLBYLFeFIXEHmjRpwkcffXRFWo8ePQgKCqJGjRqcOHGC0aNH07RpU1atWlWknezsbKpUqYJSytmSKx5FeYjcDdhu/XdvvrQDxZ3nrM2VawSPP/64hIaGOjTOubsHm3M2s2fPzptNqnEtsrKyZPHixbJmzRqb5Y4dOyaANG/e3GY5X19fASQ+Pl727dsne/fudaRc06GMQecOKaXuATyVUq2UUu8DOnpTKVi6dCmLFi0iMzPTYTbDwsLw8fG5Is1dJkYVxYkTJ2jSpAk9evQotY0bbriBBg0aEB0dTaNGjahevboDFWrKg7i4OCZOnMiDDz7I6dOniwxLHhAQwO7du1m7dq1Ne7mB+bKzs+nSpQt9+/Z1uOaKij1NQ48CM4FM4CuMgHOvOFOUu/Kvf/2L1NTUvDHK27Zt48CBA/Tq1avUs2RzQ1LMnDmTqKgoAgMDCQsLc6tQFSJCTEwMnp6e+Pv7o5Ti9OnThUYQtZeEhATi4+N54oknWLRokQPVVjzOnj1LdnY2/v7+btU0pJTi3nvvxcPDgyZNmlCrVi2Sk5OvKuft7U23bt2KtZeSkoLFYiErK4uOHTtSs2ZNZ8iumBRVVaiomys3DRVk+vTpAsi///3vMtm5dOmS3HXXXTJlyhQJCwuT2267TXbu3Okglebz+eefX9Hk9fnnn0tMTIzEx8eX2mZKSoqcO3dOsrOzHai0YvDdd9/JtddeKy+99JKIXI60GhcXZ7Iy55Ceni6NGzeWli1biohIWlqaVK9eXfz9/U1WVrGgLJ3FSqnWwJNAMPlqECJys1M8UyXihhtuIC0tjWuvvbZMdlJTU/nmm2+oWbMmAwYMYNWqVUycOJHu3bs7SKl5hIeHM3Xq1LzjyMhIpk6dyqJFi8pU66lZs6bbfvHFxcVx6NAh+vQxwoP5+/tTrVo1t12ToFq1alcMjsjIyCA9PT1vYIGI8NJLL5GZmclrr71WOTuDi0EZjsJGAaX2Y8wA3g3krXcnIrudK61wQkJCJCIiwoxLl5kVK1bg4eHBsGHDHBr+ITMzk+XLl5OTk8M111zDuXPn6NGjB/7+/g67hlkEBwcTGRl5VXpQUBAnT54ss/01a9Ywa9YsBg8ezJw5c8psryKQmJhITEwMtWvXplmzZmbLcRqZmZlkZmbi4+NDlSqXv2lFhPT0dDIzM/MCx1WpUoWcnByysrIKbVJMTU1lzJgx+Pn58c0335TbPZQnSqndUsTywvb0EVwSkQUO1lQpuf322xFx/Pqx3t7ejBs3zqE2KwpFDY+NjIzkoYce4sMPPyyV3fvvv58qVapw0003sXv3blq3bl0WmRWKunXrUrduXbNlOJ2VK1dy5513MnbsWL777ru8dKUUPj4+VwyimD17ts3+kdTUVNatW0f9+vUBuPbaa0lMTOSvv/6qFHGH7HEEq5RS04D/YnQYAyAiiU5T5YaICCNGjODSpUt5tYGMjAySkpLw8vKiXr16JiusmAQGBhZaIwD45JNPSuUILBYLX3zxBQBvvPEGO3fudGgwO035YLFY8PX1pVatWgwYMIC4uDg2b95M7dq1ryo7c+ZMm7Z8fX1Zu3Zt7vB4zpw5Q2JiYl7AOnfHnqahE4Uki4iYMqnMlZuGCvLRRx8RGhrKpEmT+Pjjj0tt5+zZs2zcuJFmzZpRrVo19u/fT48ePcoUr7+iEB4ezsSJE6/4g/Tx8eGuu+6id+/eTJw4scRtvjk5OXz99ddkZWUxYcIER0s2nZ9++omNGzcycOBABgwYwJgxYzh+/DjLly+nefPmZstzCo0bN+bs2bOcPn2atLQ0nnvuOVq3bs0rr5RugOOpU6fw9PSkUaNGbjPSylbTkOmjgEq6udOooW+++UYaNWok06dPL5Od9evXCyA333yzPPHEEwLIG2+84SCV5pMbIA43XYvZ0bzwwgsCyOzZs0XEecEOKxJ79+6Vffv2SVZWlmzdulUAuf766/PyDx48KL/99pukpqaaqNJcsDFqqMgagVLqaRF5w7p/h4h8ly/vVRGZ4UhvZS+uWiMQESwWCx4eHg4ftbBv3z7mzp3LtddeS5s2bVi7di1jx45lyJAhDr2OWaSkpHDy5El8fX0JCgpyqO3IyEg+++wzAgICmDRpkkNtm8XmzZv57bffuPHGG+nTpw+HDh0iOzubNm3aVIqJc/Hx8WzcuBE/P7+8Vcfat2/P4cOH+f333wsdpXfq1ClWrFhB8+bN3W51v1xKVSMA9hS2X9hxeW6uWiNISEgQQOrUqWO2FLdg3bp1Mn36dAkMDCxx+O3k5GT56quvZN26dbJ582YBpHfv3k5WrHE0H3zwgdx4442Fhp8uyLhx4+SGG26Qv/76q9D8tWvXCiC33HKLiIgsXLhQJkyYUKbIwBUNSjmPQBWxX9ixphhyO4ndpb3RbO64444rZpFGRkYSGhoKUOz8gujoaMaNG0fbtm1Zt24dL7zwAsHBwc6Uq3ECR44cYfPmzYwePZpFixYRGRnJP/7xD5o2bXpV2eLWaw4ICGDatGm0adMGgPXr17N8+XKGDBniFn1txWGraWiPiHQruF/YcXniqk1DueQ2DwEcPHiQCRMm0KZNG8LDw0ttMz09nZycHHx8fMjKyuLChQt4eXm5zeLbjz/+ODVq1ODZZ5+lRo0agDEhLDU19aqy9swviIyM5JlnnsHf35+3337bGZJN5ejRo8TFxdGyZUsaNmzI4sWLOXHiBJMmTXIrh3fixAmioqJo0aIFd9xxBzt27GDbtm00bNiQbdu20bJlS66//vpS2V67di3R0dHcfPPNtGjhHsGWS9s0lAMkAynAJet+7nF2UecVsDEYYy2Dv4FnbZQbg9EZGFKcTVdtGiqM3bt3CyBdunQpk505c+YIIM8++6wsWLBAAAkNDXWQSnPJzs4WDw8PUUpJZmZmXrpSqtCoq0opE9VWDCZOnHjF8pt9+/YVQH755ReTlTmPjz/+WF555RWJioqSTz/9VAC5//77zZZVoaA00UdFxFNEfEWklohUse7nHhcb7Usp5QnMA4YA7YFxSqn2hZSrBUwHdhRn091o27YtO3fuzJvJGB4eTnBwMB4eHgQHB5eoluDj40PNmjXx9fWlQYMGV0UkdVUsFgsLFizgtddew8vLKy89MDCw0PJFpRdFVlYWe/fuZd++fWXSWZG45ppr6NmzJ40bNwaMtRxmz57t8I72isSkSZN4/vnnadasGcHBwdxzzz306tUrL3/ixInUrVuXlStXFnp+UlISUVFRpKSklJfkikVRHqKsG3YsXm9NfwcYhrHwjdvWCE6dOiVDhgyRhx56qND8yrLkpKMoy/PKysqSixcvyqVLlyQyMlIAadasWTmo1jiSpUuXyltvvWXXKmR33323APLll18Wmv/6668LIE899ZSIiJw7d05WrlwpmzZtcqhmM6GM6xGUlgCMxehzibam5aGU6gY0E5E1TtRRIUhOTubHH39k8+bNhebPnDmTtLS0K9LS0tKKnRHpztiqIb399tukpaXRqFEjlFIEBATYHYhu9erV1KxZkzvuuIPq1avTpUuXMgf+cwWOHTvGd999l/sB5vIsXLiQJ598ksjISI4dO8b27duJj48vtOyCBQtISEhg7Nixheb7+PjQrFmzvBATe/fuZcSIEW4Tf6o47Akx4RSUUh4YC9c/aEfZUCAUSl71ryg0a9aMNWvWXDGOOysri9dffx2LxVJkTJ2i0t2d8PBwQkND85xjwVFBVapUwcPDg4YNG3L27Fn69+9vdzRSi8WSF4umQYMG7N2712n3URE4duwYiYmJjBs3jmPHjnHgwAE6duxotqwyM27cOLp3705gYCBPP/003377LV999VVeKJf8wegKCzuRn0cffZRHH3007zgoKIihQ4fatY6BW1BUVaGsG8U0DQF+QDxw0rplALEU0zzkqk1DhZGZmSmAVKlSpUxLTj755JPSv39/2bZtm0REREiPHj1k8uTJzr8BJ1Lc88jJyRERyUufMmWKiWorFmPHjpW6devKhg0bRERk1KhRVzzDQ4cOmazQ8cycOVN69OghP/74ozz33HMCSFhYmENs//333zJ//nzJyspyiD2zoIyL15eWXUArpVRzIAa4G7gnN1NELgD1c4+VUr8AT4qI644NLSFVq1bl+eefp3r16gQFBTFp0qQrlrG0d8nJPXv28PPPP5OSkkL16tXZuXPnFWF5XZHiakgeHh7k5OTQp08fUlNTSx2F1NHkhvx3YJTxQhGRImeonz9/nsTExLz1B1q1akVISAghISG0bt06b5x9Tg7kTmvJv58fiwVEjLzsbEhPB19fIy0rC6wh/7FYnH/PtpgzZ05eM86WLVuoVatW3lBjgOXLl7NixQpGjx7NyJEjS2S7Q4cOZGRkULVqVSZPnuxQ3RWGojyEIzZgKHAEOAbMtKa9DIwopOwvuHFncWxsrMybN0++//77Isu88cYbeV9tTZs2tbuj+MCBA/LTTz9JQkKCJCcny/bt2+XPP/90lHRTKEsNqSRYLBYJCAiQBg0aiMViKbO9+HiREydEkpON4/R0kTNnRHJyjP3YWJF8o2BLTZ8+fQSQF1988aq8lJQUiYuLk4yMjCvSLRaLnD9/XpKTk8ViETl1SiQjw9ATGWlotlhELlww0i0WQ++pUyIpKSJRUca9xceLxMQY+ykpxhYZKXLxosilSyJxcZfv8eJFw5YzOHjwoBw5ckQuXbpUbNnc+Eu5q7YV5LHHHpPOnTvLunXr8tIsFoskJibKkCFDBJAdO3Y4TLsZYKNG4FRH4IzNVR3B//73PwGkb9++Nst99tln8uWXX0paWlo5KauYFDcqaM6cOTJ48GD57bffSmz7s88+k/79+8vixYtFRKRq1aoCXDFPobTkOoKTJ0VSUy+/PKOjjbT8eWUh95l4eXnZfc6sWbMEkBdeeEFSUgwtUVHGi/7Eics6C9u3d8u938hIwyHk3m9CguE88jvFhARjv7Tk/j4uXrxYbNndu3fLkiVLZN++fYXmjxgxQgBZvnx5Xlrr1q0FkKNHj5ZeZAXCliMwsTJXuWjcuDFTp05lxIgRV6QfOnSIbdu2kZGRARgLpowbN65SBAezxfjx43n55ZcJCAhAKUVQUNAVo4L27t3L2rVr+fvvv+nSpQsdOnSw2/bff//Nzz//nNfMdOLECc6ePVvoylWlRQTOnTOaXMBoVhG5nBcXBwUGiZWIY8eO0aZNGx566CG7yicnJ7Np0yYAcnIs5A6Xz8mBS5cul8vOLnzfXnLv12KBixeNfRFITjaaktLTITYWzpwx0mJijP3TpyEhwf5rigitWrWiZcuWVK9enbCwMBo0aFDkTPFu3brx4IMP0rlz50LzP/jgA/bu3Uv//v3z0mrXrk2tWrWuCGXirhS7HkFFw9VDTBSkZcuWHDt2jCNHjpCdnU1aWhqtWrXCz8/PbhvvvPMOAA899BDZ2dm89957VKtWjSeffNJZsp1OeHg4U6ZMIT09nfr16/POO+9cMSooIiKC5cuX89prr+WlZWdn29U3cuLECY4fP05wcDDXXHONQ3UnJEBJ5iR5eED16lCzJlSrBkoZL1ClIF8Td4mYOXMmsbGxzJ49m8DAQJ566ineeustANq378L69XtL9ZIvDzw8oEEDo++hJH0OL7zwAnPmzGH27Nmkp6ezdetW5syZQ9++fUut5dKlSyQlJREZGclPP/1E8+bNueuuu0ptz2zKulSlxol06dKF+vXr4+npyYwZM1i2bBkjR47krbfeomXLlnbZeP7550lNTWXixImkpaXxwgsv0LBhQ5d1BLlDR9PT0wEjrHDBgHIhISF5C5Y3bdqUzZs3270OdPPmzSvMAi0WC6SmGpuHx+VOWYCkJPDxMRyFtzdkZhqbj4/xlZ2ZaeRVrWoc5/Yd//e/33P48B88/vgTXLwICQkX867Xq1f/CusEwHgeZ88a+97e0KhR8Q5BBCZOfIp7732UmjVrcf/9Y9m8eTNnz17Iey5RUVHs2rWLxo0DCAnpmdepr9TlzcPDsGWx5KZV4eWX5/DBB+8BMHTocG6//a68a+bazj039/zcb2uL5XJnu8iV95E/L3+fv1KXO+2rVDG28kA7gnIiLS2NxMREatSocUUwuGXLluXt5wYEW7FiBUOGDLHbEfzf//0fKSkp1KhRgypVqjBjxoxix01XZGxNrstfKxg6dCgJCQnk5OSUaanJmTNncubMGebOnZs3ocgMcl8OuVy6ZDSfFGyZ2Lp1H++99zI9etzI2LET8Pauhre3N1WrGi+bxx57jfPnExBpSnw8/N//vcY//vEStWr5Uq2a6zQ5ZmYaTUbVqxsvRB+fwl+MFy6AUr54e/uSnQ3PPvsmU6Y8RYsWHYiONp7J99//yvTp9zJy5D28807Pq2wsXDiX1NSLTJgwnbp1L/8G4uONj5GWLdsxcOBdxMY67XYLJdfBeHgYjtFZK9rqpqFyYvny5YwZM4bbb7+d5cuXF1nu448/ZsOGDUyYMCFvUY3KhoeHB4X9LpVSeUMit2zZwv79++nTp0+JwwSvXr2av//+myFDhtCmTZu85rmjR4/a7XyLoqRNQ6Vh5cqvmD49byQ2S5b8wE03Fb8I0ZkzMTz22L3UquXHokXfO1Oi0/D0NJzBiRN/c+edA2jTpj2ffPJjsedFRGzh44//RffufZk06bGr8nv3DiI2Nopffz1B06bBAKxfv4IlS96hX7/BTJr0uEP7kEqDtzf4+5f+fN00VAHw8vIiICCg2EXqJ0+e7L5jle2kqAXr888q//bbb3nvvfd4++232bdvH3v27GHy5Ml2dRp//vnnfPfddzRp0oQ2bdrwyiuvkJaWZmptoCR0796X99//hrlznyE+/iwXLxbfmZmRkY6IsH37L9SrV/rak9nk5BhbUlIKMTFR+PnVBWDHjs385z+f0r17X+644+p1qENCehMS0rtIu1OnPkNSUjy1a1/++zx/PoHt23+hSZNA052As9GOoJwYPnw40dHRV6VPmjSJFStW8OmnnzJ8+PAS283IyODo0aP4+fnlvSgPHjxIeno6ISEhdrebVyTCwsIKXbA+/+S63r17s2TJEv71r39x/vx5Ll68SO/eve1yBMOGDctzAmCEKnAl/P2bMnz4ndx66yiqVq161cSy9eu/Jycnh5tvHo63tzfr1v2XqVNHAzBw4Agee2x2qa4rYjRXVYR3YqtW1/LrrycxRtHCyZNH5l3KRAAAIABJREFU+e67JSilyM7OIjX1ImPHPkidOva1pdx337Sr0m68cRBLl/5Es2bNOX78CImJcXTt2tMtF5fSjsBkUlNTSUhIICEhAR8fHxo1asShQ4fIzMy0a2GZ48eP06lTJ9q2bcvhw4cB6NWrF6mpqSQnJ1OrVi1n34LDGT9+PD/88EPeqlJBQUGEhYVd0T9w5513snnzZubNm8fAgQMZNmyY3U1EDzzwAA888IBTtF+4YAyPrF/fGAWUmWl0+jZuDBkZRkdo48aXZ+SWhfxhufPz9NMTuXAhib17E/D29ubgwd15ebfeOor27bsAcPQo5Fayjh6Fpk2hdm04f95ol/fygshIo/O6aVNj/+JFaN7cGPp6/jzktqTFxhplvL2N+/X1NZpxMjMvN+c4Ei8vL5o2vRxWu3v3vrz++se0aNGGp556kMjIYwwcOCLPEYgIly5d4tKlbKpXty9Ee+PGATRubMTJ7NKlLhcuJBERcc6la1RFoR2BEwgPD2fmzJlERUURGBh41UssP/Pnz+f9998nPT2d9PR0Tp48SY0aNbj55pvZuHGjXddr3779FcMgu3XrlrdqmavyySefMHfuXLy9vYvsCH7ggQcICQnh+uuvp127dqW+1rZt2zh79iy9e/cuU6czGHMHoqONf1u3hmPHjLHzCQnGyzMnxxg336KFMUyyNHz/fTgeHh7cdNNQfH2vHmY8YMBtpKam4O1dDYBbbhlJQEAQHTp0o107Yxx9YqKhKXesf2Ym/Pmn4bwyMi4PX83NT0i4bP/o0cv7Bw9eHhWTmGg4kIsXDTv16xsOwtPTcH4XLxq1iaAg45lcuGCMCnKEk2jRojUtWrQG4O67pxAff+6K2sCBAxGMGtWDjh2vY+XKK/sYc3Jy2LXrN2rUqEnHjtcVar9jxxAuXkwmKyuz0HxXR3cWO5iCUTPBaNaYNGkSmzdv5s4772TGjBlXnScipKWlsWnTJsaOHcuNN97Ihg0bylO6S3Hx4kWSkpKoUaMGdevWLdG5x48fR0Ro1qwZXl5e9O/fn19++YVNmzZdMaGoNGzfDsWslJlHkyZQp47xwi1JC17v3oHExp5i6dKfWLDgdWrXrssHH3xT7HnZ2fDpp1+SnHyErl0n4+Nz9dq+5UHVqpeHyHp6Xq4d5Q4XtWfA2969O/jvf7/guutuYOTIe4ot/+efB7nttm60b9+VFSt2XpF34UISXbrUpVYtPw4cOF/S2yk3nNlZ7HoNyBWcooY+Ll26lP379xMTE1PoeUopatSowfDhw8nIyLDbCZRlVTNXZsGCBQQGBvLqq68SFxfHzz//bPcqY6NGjaJly5Z5TWm9e/dm5MiR5b7Gc2wsHDoEu3cbNYekJGM+wfHjRjOMdbL5VQwffjdDh95BQEAQW7b8xK5dv9p1vchIWL78Qz74YDYnThwt/gQnkX8eQ06OUVNKSzPu/88/DZ3x8UYtpSiOHPmdL76Yx9atRq05ISGO9eu/Z8eOwtf7aNu2I0ePZl/lBMAISx4S0oeuXa8eVlpZ0E1DDqaoqJnnz59n7969V329rlixghUrVjBixAhGjRpVZETJwiguZr8r8/bbb3PkyBEefvjhQjuAc+dJbNiwgVatWjF16lTuvvtuvvrqK5t2w8PDOWpt2xg6dChvvPGG6YuP5OQYISfi4q5MP33aaGLx8zNmHudOPLvvvjcQgZSUS7z55g80a2bMF/DxAQ8P4dSpdKpWrYqfX1Xi4yEq6jiTJ19D/fpBDBr0KO3b96NuXXNqA/ZgnSeIpye0aWP0NxSka9eezJr1Htdc05bsbPjhhwO8+OLtdO58M/fc8za1alWjQ4dW+PurYpue6tSpx3ff2edMHYXFYnS8F5xQljupsASvAYegHYGDsTX0sUuXLlel79+/nyVLlvD777/z7bffMmTIEO67775irxMeHs4DDzxwVT9AWloakydP5vHHH2f9+vVFxlap6Px/e+cdHlWV/vHPyUwSMgkJJIFAKKEIKCBSZRGl/EDKIgqLokgTEQQR17IsuFhQQcFF3VXEgqAIUZHFgkqzBBBERKpUgRRahCQQTCWZzPn9ce4kk2QmbWrI/T7PPDP33nPv/d43uec95z1v+eqrr4iLi2PEiBF2FcGkSZNYsGABBw4cICAggN69e5e7TmBVnNa8TufOnfN5xZmbW7TIbEVRnIKRxo0HIyWcOKH25OVdYfz4YPz9A/nwQ/WcmzermIHU1CQGDZqO0Wh/kbkkkpOPs337R3TvPoImTSqey8lVKCiAw4eVSSQgAMLDlVLw94dmzdrRokU7jEbr2kYUXbveQePG7Zg58waE8CM21kxyMoWBdkFB6js/X3XCtqmzpZZq22JRx60RvtZOefXqBXz++SuMGDGLYcMeL9aJW63rtteyIj+fUlHMUDxw0BH8/dVzG43q2mFhzpmGyoKuCFyMefPmMWHCBPJt5r9l1RUYOnQojRo14vvvv+fjjz+mQYMGrF27lt27d5Ofn8/Zs2dLLThbOzRHi8G5ubnk5uaWMlFVJ8yYMYM777yTtm3bOmwzePBgzpw5Q15eHomJicyZM4dly5Y5XJwvK2L5nnvuAfB518DMzEvk5FymTp2G+PuXdj2yWMwEBAQVOxYV1ZLg4Lq0aXNzhZUAwM6dq1mzZg6pqYlMmfK+S/hXBdbUGvYC9QwGpTCaNGnPE098QV5eLrt3qwL1KgBRnZuXl8MzzwzHz8+PmTPXVZpDTk4Bly+nkJJynqysqj2HbfqJiiA/v2qJ/6oCfbHYDZg/fz5PPvkkUOT6GB0dzQ8//ECfPn3o169fYVtbD6Pw8HAeeeQR3njjDYe1V/38/Aqjax2hcePG7Nq1i4iIiKs+EMbe4rwQAilloexBKQF7MzVbvP/++9x3331O8anMYnFV8N1377B06RT69p3I5MnvcfTojxw4sIn27fvRtm2fcs/PykonJSWRoKBQoqJalNn22LHtbN26nE6dbsPPz0CnTn+tlOnSnTh9+iCXLp2jUaO2RESUb+Yym/MZOzYAPz8DH36Yi8FQNAY+fHgLCxfeTvv2/Xj8cftR/5mZlzCbrxASEo7RGMBPP31CWtppbrvtH8Vkkp19GZOp4gkjK4O6dWHgwKqfr0cWexjTpk0rrDo2bNgwAJ577jnmzp2LEKJQEZTsxNLS0pgzZw61atVyeO3ylIDJZGL+/Pk0aNDARU/jm9i0aRMzZ84kPj6+1CjfOrhJSkpizJgx5V4rJCSEzMxMzLb5mJ2Ard03PV0tfLZsqb6PH4frrlMvdVURHt6YiAgVAHDw4Pd8/vlcpLRUSBFs3/4R778/jZ49Z9Gw4Qv06WMkMxO+/BK6doUePZSNPjQUWrbsSULCTbzzzvNkZi6ib9+DZGdHMXy4Gp2fOwfduyvzxaFD0LZtUUI8d+uLb799i2+/XcyECYsYMGAaABZLAWZzPgEBpd8fo9Gfxx5bQ2RkTClllpubSU7On+TnO1idB0JCiv5g6el/8MYbKgixbds+tGzZDYCCAjOPPnoNERFNmD37O/z8DG5TCq6GW2cEQohBwH8BA/CelHJ+ieOPAw8AZiAFuF9KWeawrTrMCI4fP47JZKJBgwaFpoYtW7awZcsWevXqRZ8+fQCVZK68UWplYDAYmDx5MuvWratQDIOvQkrJ6tWrCQ0NZeDAgXZHoZ9++qlLUgKbTCbeeecdRo8e7fRod/FiWLpUdYr168PQobBypUoa17y5ii/Iz1f23h494L771CKwMzh6dBsHDmykffv+tG3b226b5OTf2bXrcxo3boeUkk8+eZozZ5YA3QgKkhQUCKxB3KGhiq+/v0pw9scf1qtYsOdkGBxclDo7NFTFTuzdq2IFuneHuDh1rd69lSI0GmHQILUwnpwMHTtWTSlu2PA6u3d/xeDBj9K58xDOnz/Jo49eQ/36Lfjvf09W6loWSwE5ORlIKYt1+I4gpSQ2dgYXL57lkUeKnBPOnj3C7NndqFu3IRMmvMnixeOYP38fdeq4ZlDmzhmB2xSBEMKAKlN5K3AGVcN4lJTysE2bvsBOKWW2EGIq0EdKWebbXR0UQb169UhNTeX8+fPUr1/fYTtHydWqApPJxPjx41m+fHmpGAbbgi7VATk5OZhMJgICAorVcLbF3Llzefrpp526j8FgYPny5S6TzUMPwVtvld7v51e0ONiypTIdFRSogKtbblFK4oYb1MjaWVy8eI433xxDREQTHnpoOQBLl07lu+/eBu6nS5el1K6dzebNJiAPUDft2BGOHVOBXiEhRYFk9epJateG+HhBs2aKf1yc6vSjotQ5UBSRXBGUXGC1pnhSsxC4887KK8i0tNNMnx6DlJLIyBgaN25bpbUAR7h8+QKrVz/N0aM/snDh4WLHdu36nOPHf2bIkCcICgolJSWRJUsmcezYNmbOXE/Hjq5JHlldTUM3AieklPEaiU+AO4BCKUop42za/wyUP4+vBoiOjiY1NZV169YxePBgoqKi7LZz5GFUFbz77rsVTt/s68jPz+euu+5yqCRjY2MdLr5XBhaLxaVyeeAB1ambTPDFF/Ddd9CzJ4wbBzt2qFHytdcqD6DXX1fxAp9/rs4NCoIOHdQofM8e5Slz883QrZvqcBVfVeWrDMshJ0/u5PDhONq0uRlQ7YcMeZ4zZxpy9OjT7N4NoFIs9O//I9df348rV3Lx8/uCVq3SueGGKURF/cmDD/bEYrmRp55aQL16kfzxR1FtgPvuK8rBf+CAGvFfey388osa9XfpAtu3w5Ej0L+/Unp79qgAujNnYOdO1ek3bw4HD6oobFDfJ07A1q3ZXH99AU2b1mbIkLKfF6ymqMasWFFAQsJenn56FCZTWql258+f5OefV2My1aFr1zsIC4siOzudkJDyAxL9/Az88MN7REY2LXUsIWEPX331MllZl5g06V0aNbqWYcNmYzbncc01N5Z7bV+AO2cEdwKDpJQPaNtjge5SyocdtF8E/CGlLOXULYSYDEwGaNq0aRdXmlPchQEDBvDtt9+yfv16Bg0aRGJiIikpKcTExBTOEmJjYxk7dqzTs4KYmBgSExMrlL75aoCrTGpWuX300UesXLmSUaNGVch1tyzYLhZnZTmuMmY2w65dcOqU6kzj4x1fMzJSKZH4eBV0FRBwjMjIazh/3kBMDISH/0lmZgbXXFMff38DP/54BYOhgJiYEPbvV8rAaFRmqY4dFb/27dUMRgg1mn744aYEBgazZEkaOTkZfPPNQtLT/2Dq1A8KeWRlpWMwGKlVyzl7ljUFhdGofmdlKSV38SIsXXqe5OSigVPz5jBhgppx2KbkkFIWmvLefx82bVLXtFgkeXkCo1HStq3gjjvU2gXA/v0bmT+/+Oi8Q4eBDBz4MDt2rKJz56H06DHSIe9ffvmMjIw0+vWbVGz/iRO/8PXX/2bixLepXdtNBQOovjOCCkMIMQboCtg1ckop3wXeBWUacvX9K5MbqKLo3bs3derUKYxWfeWVV1i0aBGvv/4606dPB5Tv+vbt23n77bfLVAZWLxh7sHVNrUj6ZmfgDjlVBY6C9ioDW7nFx8ezfv16Onfu7PR1bVFWqUmjUa0T9OgBd9+tZgm//aZG1B06qM5xxw6lJFJT1UfBQl5em8ICKfHxEB8fCoRy9Ki1jSo+Y409sFY9a98eZswonc4iIqIJfftOJDr6OgoK8gkNjWTUqGLLeSxbNo1vv13M1KnL6dVrnBNSKW72CQkp2m7YECZOPMrcueOIiuoDPElCAjzzjDrerJla0A4PhzVr5pCefpo+feby/ffRCGGNxBbUrQvp6YIDB5T8QkOVMr3hhh7cdNNCkpMTSUg4B9Tm9Olw4uIkv/4aSlaWgbQ0tX7h769mdrVrKwXj5wfZ2X9DSvj2W2UGy81V7TIybgRW88knSrGazWpGZ63VbI0fsK4PCVF0vtVsaLGo/wlr7EJAgLpGrVqKh7+/Om/fPpg50ynx24U7FcFZoInNdmNtXzEIIfoDs4HeUkqPZ3RyV3Tu7Nmzi203adKErl27lvLmWbx4MT179ix0byzZ6Ze08ZfVGc+bN89uniNXmFE8GcWcl5eHxWJx6D3lSOGVpTBBeQdlZWWVktvIkSPp1KkTrVq1cs0DVAFRUUUmICu6dVMdxJkzaubQsKHEZDrHoUNZNG3ahuhopQi+/PJDMjKSadFiPP7+DejWTXUm586pzr9uXTULaNHCcU6jyZPfA5S5zHa0bUVERBP8/QO5fPm8vdNdhlaturNo0VLCwuqTnQ0rVqjnT0lRz1DkmqtSaVvzMj74oIVt2+7FbM7j2Wc/IyNDddjr1hVVeVMK84li97t0CdSS41D27lUL3b6MCxfcowjcaRoyohaL+6EUwC7gXinlIZs2nYD/oUxIFUp+4urFYkdmhoiICEJCQio9+t25cyejR4+md+/eLF26tNJ8nB11x8bGMmvWLM6ePUu9evV49dVXXdJRO5KT1bziSqxevZqRI0cycuRIVq0qnUzNUWK/8ePHF3pMWVN5XLx40aOzl5JxBF9/vZADBzYxY8ZXdgPAXInVq5/h/Pl4BgyYRuvWPSp9fk5OBosWjaZ165u4445ZxY7l5mZiNAZUKiDNlcjPVzmZEhKsi9KS7OxcMjKC6NwZbr8dJk2KJDMzjfbt+3HzzWPp3Xs8BQUqy2l8PGzeXOS5FBamZmz5+Wr0HRBQVAM6KkqN6rOzlekqN1cpZJNJjcotFmWqCgpSZreQEHUt67+j0aiu9eWXL5Gevp+77nqBqKhWhbWlzWalnIOCiqKbhVBrKRaL+s7NLQqky85W96lbF269FTSP9ErDK6YhKaVZCPEwsBHlPrpMSnlICPE88KuUci3wbyAEWK2NQE5JKW93FycrbDtbR4rQWiMAKjf6TUlJ4eTJk7Rp04YrV66QnZ1dqWRmo0ePdqrDGj16NM2aNePmm2+mZcuWLuv8HJljXGGmKYnc3Fz8/f0JdmBbsT6TL5ipykNs7AwAfvvtOzp3HuLWe2VkpLF9eyxdugwFKq8IUlISychIYe3a+fTr92AxV0pn1wUqivnzB5OamsT06Z8QE1NUX8LfH/7yF/VREFhNYFZMmvQuSUn7+OyzF6hdO5LevcdjMChTUni4MitdvnyB06cPEhHRmIYNVdrqrVs/pHnzzi5Po2GxBJGV1ZqePQ2lZntVgbNrBGWhxkUW2xtNVhQVGf3m5ORw+vRp4uLimDJlCv379/d4OumkpCSmTp1Khw4dmD9/fvknVACenBGAWgwsKCjA6OqKJnZw7Ngx4uLiaNWqVbGo76qg5IwgIWEvly//QYcOA/Dzcy59xb5969m3bz2dOg3hhhtK9wgnT+7ip58+ZtSo+VUauW/Y8Dp79nzN/fcvpkED52o3VxXTpzcjNTWJZs068c9/fkPdupVLrpOc/Dv7928kKqolnTr9tdTx557rxdGjP9KgwTW89tpxjh79keee60Xz5l144okvKhSl7C24c7G4xqWhtudiWVFUZPQbFBRE69atufHGGzEajZw7d45mzZohhMBgMPDYY6ULZ7saMTExrFu3ziVKwJrm2p4ScNX6gz0IITyiBECZ86ZOncry5ctdfu3mzTvRsePgQiXgTKzAkSNb2bjxDU6e3GX3eMuW3Rg79tUKKwHb9YI6deC22x7hX//aVEwJWLNhAqxZ8xwzZrRlz56vq/wM5eHFF3djMPiTmLiXtLTTdtvMmXMLL744gIsXS6d0b9iwNYMGTberBADuv/8tGjVqy333LQKgRYuu9Ox5L8nJx8jKuuS6B6lm8AmvIU+ivM7cYDA4TOZWGe+bQ4cOERoayuHDRcEnFouF//znP1y5coXFixdX+FreQlmzp8aNGzN//nyfNMdUFm3atOHBBx+ke/fuTl/LaFRujvn5ypYdHa08VtLTlQdK7drq2PnzajG3Ml693boNIyysPq1bOy7CXlEEBUG7dmoR1WhUnjXW2gDBwSqwLDtbmVRAtQsKSuXMmSNYLL/ToYPyaklNVXbvsDDl/pmbq66VkaE+ERFF5wcGFrmJ+vsrj5jMzOIyqF07gkcfXU1eXg7165fOhZSbm8nvv2/Hz89ASEjlXTWbNGnHwoWFy5QEBATx8MOxWCwFTs/YSsJiKeDs2aNkZKQ6jPr2FdQ401BZPujluWlWJEJ31apVLF++nB9++MFhVKwQghUrVri1E5VSkp6eTkhISJUTz5Ulq61bt3LLLbc4Q9EhXnjhBbZt28asWbOcrhjmaaSlFWXJXLMmljVrlpKUdJJhw0YzY8aL/P77IV5++Um6dbuFiRNnkJ2tXEUvXiw6zzYS2ZUICIAmTdS9YmLKD9QqiaSkk2RlZRIT05Lg4KqvGRQUFM0yrHn5rb8vXy5KxWEPUkouXjxLcvIx2rd3zoznbmRn/8nEiWEEBATxwQdZTqcw0U1DLsS8efMwmYoXrzaZTNStW7dM10NrhG55FcA2bdrE+vXrHSoBUP/MJd1LXY0ePXoQHh7OXif84cqaPZWVOsMZxMbG8tJLL7Fp0yZGjhxZrSuuxcWtZceOOM6dO8X27crP8fjxw3z//VcsWDCTM2dOEBqq/OfbtVPuotdfr767dlXpFiIji5dyDAtTnai/v/JWsZc129+/qA5wSIg6JzBQJburV08Ve6msEgCIiWlJ27Y3OKUEoDhnP78ir50jR3by6qsTOXVqJZ07q+cv6e4qhCAionEpJRASop4xMFCZuQLd66BVIZhMoTRv3oXWrXty5Ypvp4SvcaYh6yh80qRJ5OTkAMqun5ZWOiS9JCriPTRq1CiWLVtW7rXc4W1ji/DwcGrXrk2GvSTuFYQjf/2YmBjatGnjDD27sJqirH+X1NRUjxSOuXLlCqmpqRgMBpdmbb333gdp3LgZJlMIvXuriNZu3W6mfv2GXLiQzKZNXzB58j8K2xsMRUFoVhOTNZr2/PnzbNnyDR06dKNbt+uL3cdspjCgymJR5ifrfg8ts1QZ2dlZHDt2kPbtO3PkyD4+/XQZyclnMBgM1K/fkOuv78OlS8p98sIFM1IaSo2sw8OhVavSGU8zMlT8hROvgNN48UXfzotmRY0zDYHqcCZOnFhs1F5eMJItyvOUqUgKBHd521hhNpudXmxduXIlEydOJM+amhIwGo188MEHbumYPe2ZZMXmzZvp27cvffr0IS4urvwTyoCtacgRvvgili++WMmIEeMZOvSeCl13w4bPmDp1BL16DWT58g1OcawqLBYLixbN5ezZU7z00rv4OYpOqwT+7//akJDwO+vW7ScgIJCdOzdz4MCvrFr1HkOGjGTRoqI4kg8/XMyHHy5m2rSX6NVrKFIqE5I1B5IjmM1qjSIpyXEdZGsiPKNRrZ9Yr12ywhioY4GBqq3FUjQTKSgoSsFtNW1ZYwesFdCsCAgoMgFa8zbZmgMtFnWOn19RScu6daFTpyoIufAZfTzFhCexf/9+Jk2aVMp0UxmFWN5o3l6Ery3c6W1jhSs8bnr16lVMCQCEhYVx4cIFfv31V44dO+ZSX35PxirYIjg4mOjo6FL1pN2FYcNGM2xY5eQUHl6PoUPvoWNH5xe0qwo/Pz+WL3+DixdTefzx54mKinbqegsWzCIh4XcAsrIyuO66DrRs2Ybrr+9KRsZlunQpviiel5fLyZOHCAjILVyErgiMRjVrCAtT6zFSFpWAtE3t4KiOgrVTrmrxOiklZrPZ6SJR7jR31bgZwYoVKxg3znGulLK8hqwoa4T63XffERgYSHx8PM8++6xXo1ydRWJiIuPGjWPHjh2lirb4+/tjNptLKdDg4GBq1arFxYsX7T43OA4E89aMwJWwzgiSkk6yf/8vtGvXmfPnz3L48D5uvfUO4uLWUbduBIMG/Y3AwCoY6r2M5csXERAQyJAhdxEaWsepa91+e1d++203q1Zt5cYby3c8MJvNzJgxgZdfXlZtKu99/PES5s17nHvumcxTT73i1LUCA52rWazPCGzQt29fIiMj7ZaCrIgSKGs0Hxsby7hx47BYLF53r/zxxx955plnCA4O5uDBg1UatTdr1oxTp07ZrdyV78CtIysriyytqKvtuktSUhITJkxACFE4y0hKSmLs2LGMGTPGoew9MXsqWS4UKq68Sp7fqFFTnnhiHn/8cYYFC2Zx990P8Oef6axf/z8iIuozb97jmM1mjhzJ5vz5c9SpE0GgL6xsVhDjx9tNHlwlvP76Jxw6tJd27ZS9Y/36NZhMwXTv3ptatYJKtTcajbz22gqX3d8TCA4OISsrk5SUZG9TKRM1YkZgfVGTkpIKOxxHawLlrRVYawbbtrO3D7xbFGbWrFksWLCgzDZW3laZxMTE8Ne//rVYhTNvpvy21hx2p/zKizT39/cvprxA/Y9MmTKFnj178ve//72Uo0FQkImxY6dx7NhvjB49lfT0NA4d2svAgcPZsmUDly6lkZh4nF9+2crq1dvo2rXsuIDc3BwSEo5zzTXXuW0k7C6X1YriwoVkbrmlOXl5V9izJxWTKYS0tAv8+Wc6c+ZM56677mfECOeynnoD2dlZ5OfnERpax2n3UXfOCK56RVCVlBKVWTguD94wa8TGxhbziqqOcHX1MEdwdblQKxo1imHbtkQCA1WysoICZZe2JhobO3YsGzd+w7///QH9+5edXmvduv8xbdpddOr0Fz77bIdL+Flz8Fh9+oOD1W9rqmSzuSghm5TKa8ffHy5fvsScOc9gsVh49dU3tdTP6lhenjrv0KHd1KlTj6iopgQGFiVU8/MrupYQ6r5mMwwf3oO9e38unD0tXrya7t2juXAhmZEjJ/Lpp0sZOXIiCxa855Jnr67QTUNOoCopJaSUxMTEcOrUKfz8/Mo1F5UFdy902sPs2bOrtRIAKCgo8IjrqLv+PufOnSI6unhKiezsbPz8gjAYBMuXv0dAQABCCPLzJTNRKh1dAAASUElEQVRn/guTqQ5TpszEaITt27eSmJjAiBHjiYyMIioqmgEDqph2UoO/v1owzc9XLqYl/QmsufChdCoMa+jNrl37WbJEpWd47bX51K9fm9zc3GIpw2+77QH27dvHtm3b6NlTzXb27t1L06ZNiYiIQEoYNeoetmzZQlxcHIGBanY6ffoEOnfuQWYmNGzYCCEE99zzAN2796ZVq7ZOPXt1gL30357CVT8jqEpdYNtRvLN1hb0xI3BlLWRvw93yc9eMIDo6mrNni3LhSClp06YNN910E0uWLClm4snIyCA0NJRatWqRkJBAWloa7du3p0+fvnzwwWpCQiJISblIeHgYgYGGwhG1teqYdZxidV+09slmc1FRFbNZBVo56/FZUFDAiy++SLt27Rg+fDjx8fEMGzaM5557jr/97W9YLBaGDRvGzp07SUhIwGQykZeXx7XXXovJZGLz5s3UqVOHsLAwsrOzWb9+PW3btiUyMrJYoKdKOii4cEHNIMpD7dpF3j3W2UlublFtZG/iyScn88knS9i2LYlGjZry008/8OyzD3P//Y8xapSqdvbRR++wdOlrLFy4nE6dlGfY+++/TlLSCSZPnkF0dBN9RuAMyrNz27Pr2y5OOmMn98RCpz2407ZvMplKzbCCg4PJyclxSzlMd8+o5s2bx5gxri+VbTAYsFgshb72x48fL/wMGTKEu+66q7CtxWLhscceo3fv3kRFRdGgQQPGjBlDWFgYMTHKTzIiwjOureXBYDDw9NNPF26/9tprnDx5kgceeIB27drRpk0b1q5dW2x0e/z4cc6cOcPgwYMJCwvDaDSyZ88edu3axYABA+zGI6ikg6rjM5vVJzNT5UAq+W9Wt66a6ZSE2azSaeTkeFchJCWdACAh4XcaNWpKRsZlTpw4wttvz+fuuyfi5+dHauoF4uOP8e67L/PWW2sAWL/+f+za9SODBo0gOrpJWbdwHlLKavXp0qWLrAxWrlwpTSaTBEp9TCaTnDp1qoyJiZFCCBkTEyNXrlxZ4fPL+hgMhlLX8hSqyrm8j1U+9uTlznu6GxERES7jW6dOHfn888/LvLy8Uvc5ffq0/OSTT2R+fn65nLKysuSGDRvc8bgux5UrV+Tx48elxWJxeHz79u0Veu6KwGJRn4ICKe2I2W77jAwpExOlTEhw/ScxUcqzZ6U8fVrKU6fUt/VeSUlSfvPNXjl79ivy2LEseeqUlL/9dklu3LhHHjqUKs+elfLcOSl37UqUX321Q544kSX/+EPte+edT+ULL/xH7tqVKJOTpbx0yTm5oerA2O1X3dppA4OAY8AJYJad44HAKu34TqBZedesrCKQUhZ2XtYO2rZTq+r5QgiHnYHJZPKaEijJWQghIyIiCjs7W95+fn4V7uAq8ky2ciopH+u2I/n5+/vLgIAAr8jRFUpMCCGnTp3qdq46qo6cHCnPn1ed7IULUl68KGVampTp6UpR/PmnlNnZUprN6nPlipRZWWr/5ctSZmaqT0aGlLm5SglduaIUjT042u8teEURoKqSnQRaAAHAfqBtiTYPAW9rv+8BVpV33aooAnfD0Si5usCeorMqj6o+U3kysXfcm3Isee9+/fqVUla2M8iqDip06PAWylIE7qxZ3AOYI6UcqG0/CSClfMmmzUatzQ6txvEfQD1ZBilX1yzWocMRnK0frUOHL8Fbi8WNANsSQ2eAkolSCttIVeP4MhABlA771aHDw3C2frQOHdUF1aIegRBishDiVyHErykpKd6mo0OHDh1XFdypCM4Ctj5PjbV9dttopqEwoFRhACnlu1LKrlLKrvWsCdp16NChQ4dL4E5FsAtoJYRoLoQIQC0Gry3RZi0wXvt9J/BDWesDOnTo0KHD9XDbGoFm838Y2IjyIFompTwkhHgetXq9FlgKrBBCnAAuopSFDh06dOjwIKpdigkhRArgqZSYkfjmwrXOq3LwVV7gu9x0XpWDr/KCIm4xUkq7tvVqpwg8CSHEr47crbwJnVfl4Ku8wHe56bwqB1/lBRXjVi28hnTo0KFDh/ugKwIdOnToqOHQFUHZeNfbBBxA51U5+Cov8F1uOq/KwVd5QQW46WsEOnTo0FHDoc8IdOjQoaOGo0YrAiGEnXIW3ocQora3OdiDr8oLQAhR19sc7EEIEeFtDvagy6vyuJrfyxqpCIQQIUKIV4HPhBCPCiE6epsTgBAiWAjxJrBGCHGvEKK5tzmB78oLQAhh0mS2QQgxXQjRSdvv1f9tTWavAd8IIeYKIfp6k48Vurwqj5rwXtY4RaAJaxOQBzyLCrZ4yKukivA8EArMBToB871Lx+flBfA4KmPteKAW8A6AlNL1dTMrCCFEK+BzoAC4H0gB/uUtPiWgy6vyuOrfyxqnCIDLwFtSyllSym3Aj0CBpvWFp8loyfYQQoQAtYEXpZRbgXmAnxDiKU9zKgGfkheAEKKW9m1EFT36SEp5VEr5byBFG1l6c5SbBbwrpfyHlPIwsA5IFkI09gYZXV6VR017L696RSCEaCWE+Kd1W0qZgBp9WJENtJZSZnky4Z0Q4lohxPvA80KIGCllJlAXuFfjmQ4sAO4UQjTwIC+flJfGrbUQIhZ4QwjRVUppBkKAHjbNpgBjhRCNPTXKFUK0EUK8bN2WUp4D1ts0MQHXSinPeIKPDS9dXpXnViPfy6taEQgh7gV+AGYIISZr+wzaH9eKFsAhD/OKAN4HDqIS8r0ohOgPPAmMFEJY84EcADYDQzzEyyflpfEIQpkx9qPkMk0IMRH1Uk4RQkQCSClPAyuBSR7iNQT4DPiHEGKWts9YQmbhqNrdHoMurypxq7Hv5VWtCFBV0cYDt6P++U1SygKhYH32FsAeACHEHUKIGA/wuhbIllK+gvonWw/cjfrn+wx4DUBKmYeym3qqGo+vygugJZAlpXxZSvkG8B4wHAgC3qJ40Mzv2rPgAfPVeWA00BqYKYQI0TLv+tncuy3aS6otNrZ2MyfQ5VUV1Nj38qpWBJpN70cp5Q7gN2COdsjPZhp8PdBECLEWGAOYPUBtDxAohOii8diOKtk5XOP4FyHEFCHEQKAX4JEpuw/LCynlQaCZEKKXtusA8D3wT2A2EC6EeFYIMRJ4AMjRznOr+UpK+StwVEp5AtgAvK0dEjb3vhmoJ4T4HNUJ5ruTk8ZLl1flUXPfS0dV7avTBwgrsS3stGmvCfF6m331UOlZfwLudgOvuoB/SV4oD4R/AXNtjt0B/Ef73RN4DPgZGO0pXt6Wl3aPADv7/LTv6cBKm/0dUTUtIlEjzHEoTwp3yKwULwd/13Sgm82xQFQnvBsY6QZedQCjLRcfkVcpXr4gL+0e4YDJAR9vvpd2eZVo45b30uVC9vQHeArYhxrl3K3tMzho+zywVPt9o/Z9n5t4PQucQk3BH7FzvL/2Ut6mbbcGfgVquVleZfLylry0ay9AmS2aa9uixPFrgDXAeG07AlX4qIGbZVYmL9v/OeBpIE77PUj7HuYmXs9oncLbwMO2PLwsrzJ5eUte2rWfAg4Dy4BZdmTmrfeyTF4l2rr8vXTbg3niA0wGvkLVQ+6EstldU0Z7f5TmzAReQBs5uYHXTcB3qBFGR+A40LNEm1DUiGwPqm7znSgvgEg3yqtcXl6SlwF4ArVA+B5wfxltBwAngc7ASCAOaOoDvGxHvGYgA/gvNjMvF/Kqg1LkH6Fsw7cAydYOvgQXT8qrTF7ekpd2jzCUMv9Y6y9uQNVMr60dt86iPPpelsfLwTkufy9d/mDu/gCh2rcBeBkYbnPsO+Abe/90qOnTWlQt5ZvdxM06yukOrEYbRQCPAsuBRnbOeRpYgRpB9fAFXp6SV4l7xqBGrOOAV4CuVi522k4FXkeZDxwqMi/wigSWAHvdyQu14Du0xL5lwEAH7T0iryrw8oi8tHv5o83otO07UDOWUspT23b7e1kRXiXauu29dJvg3SCwuto/jXUlvxZqtLYKaIAK+vgPSpv2087xszk/AG3q6WJeEcBibEZZQF9t3zVWHsDXwL3atoHiIyKTj/Byu7zK4OavfTdGmWIeB4K0fcL22ypDX+Fl09bojg7NAa8Qm9+1tY6heYnzvCGvcnm5W16OuGn7/bT+Iwk1Et9GkUnKK+9lBXi5vx9zxx/BTX/Yd7RPX1SHv0TbvwTlB31YE+Q0ILbEuaVGby7i1Bb4FuXVsNRmvxH4H2oUadL2jQZ+9pCsnOLlLnmVxa1EmxGoEewAD/5/VWde4SgPHLeYVaoTr4pwA1rY/B4DHKkOvNz5XlYL91Ghsv75A/OklHGoxZLGQogHpJSTUItTg6WUq4A01OJOoU+01KToBlwGnkPZ+W4WQtyi3c+MUk5/Bay1Qv8HJArPZPB0ipcb5eWQGxTzYf8etaDdXgjxiBDibjfyqba8bNACyJBS5gsh7tTcG2sqL4fcrD73Usp4m7afAqeEEPV9nZc738tqoQiklBkoW+0Ibfsiapr+kBAiTEoZL6VMEkK0BCYCF7V27uzQkFKeBfZKKbNRi2RzbI59gZoWTxUqL8k64E8p5WV3cvJlXhXgJoUQQqow/gxgFvAIcEnnVZqXDfqh/N+XAf9AiwmoibzK4iY1n3urYhcq2d2nwHEp5YWaystKzqc/FC103oyKNgzWtmuhbGn3aNvDgaPAE17kuhuYaLMdAHQAFqK50em8yuam7YtB2Up95m/p47zeRAU+PajzKp8bKpfR39FSb+i8fGiNABXxOEb7bbtg40fRYuEKVMY967FFwK3a70a4wde3LF42v43a91CUWcoP+BuaNw5usO35Ki8XcIvW9gfqvMrlNQKVRO4vuGdh0yd5uYBbGCoFh6/JzG28yuXt6RvaEVxt1Mg0BTXaCrM5ZivIJigf30TgPlTCp91Afy/zal3ivIOotLpfAlE1hZeLuK31UZn5Kq+vgXo1hZeLuH3lozJzC68K8/fajYu0ogEYov1eASy0FR7Kbe9j4Ettux/K3rgDGOEDvNYA9VE+1I8D8cAdNYWXL3PTeV0dvHyZm6/yqvRzePyGyoVxISqKcIBViNp3DJAAtLNpfyfwz+rAC5v8H1c7L1/mpvO6Onj5Mjdf5VXVj1VbeQTaqvibKBPPepSJ5wvgPSnlFa3NfKCNlHK4nfMNUsoCH+RllMo1s0bw8mVuOq+rg5cvc/NVXk7Bk1oHJbifKMrvMRClUcfYtAlArZr3ANoB/6ftd2eQk87rKuGm87o6ePkyN1/l5czHo3EEUso/KVrsBZXvey9wk9DKvklV9OFD7dgaVH4NpCZFnZf3efkyN53X1cHLl7n5Ki9n4I2Ass+BjkKIhlKVWjsA5AINAYQQfVBl816SUl4rpfxe5+WTvHyZm87r6uDly9x8lVeV4A1FsA2VQvU+ACnlHuBGVDAFqACUW6SUs3VePs3Ll7npvK4OXr7MzVd5VQlGT99QSpkshPgSmC+EOIFKd5CLqgGKlPKkpznpvK4ubjqvq4OXL3PzVV5VhjcWJjQz2WBUrvKjeDnNgc7r6uSm87o6ePkyN1/lVdmPR91HS0II4Y9aP/EpVyqdV+Xhq9x0XpWDr/IC3+Xmq7wqA68qAh06dOjQ4X1UizTUOnTo0KHDfdAVgQ4dOnTUcOiKQIcOHTpqOHRFoEOHDh01HLoi0KFDh44aDl0R6NBRDoQQBUKIfUKIQ0KI/UKIJ6wFx8s4p5kQ4l5PcdShwxnoikCHjvKRI6XsKKVsB9yKCiJ6tpxzmgG6ItBRLaDHEejQUQ6EEJlSyhCb7RaolAKRqCIkK4Bg7fDDUsqfhBA/A9ehCpQsB14H5gN9gEDgTSnlOx57CB06yoCuCHToKAclFYG2Lx1oA2QAFillrhCiFfCxlLKrln3yH1LK27T2k4H6Usq5QohAVHriu6SUCR59GB067MDjSed06LjK4A8sEkJ0RCUca+2g3QCggxDiTm07DGiFmjHo0OFV6IpAh45KQjMNFQAXUGsF54EbUGtuuY5OA6ZLKTd6hKQOHZWAvlisQ0clIISoB7wNLJLKrhoGJEspLcBYwKA1zQBq25y6EZiqJShDCNFaCBGMDh0+AH1GoENH+QgSQuxDmYHMqMXhV7Vji4E1QohxwAYgS9t/ACgQQuwHPkDVtG0G7NGKn6cAwzz1ADp0lAV9sViHDh06ajh005AOHTp01HDoikCHDh06ajh0RaBDhw4dNRy6ItChQ4eOGg5dEejQoUNHDYeuCHTo0KGjhkNXBDp06NBRw6ErAh06dOio4fh/0kJLRvjhcu8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d6da8064cf6447269f3555587650315d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 1.4489327669143677, 'log': {'agg_test_loss': 1.4562760591506958, 'agg_test_loss_p': 1.4489327669143677, 'agg_test_loss_kl': 0.007343324366956949, 'agg_test_loss_mse': 0.05047369375824928, 'agg_test_loss_p_weighted': 0.2776172161102295, 'agg_test_score': 1.4489327669143677}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.821728</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.014804</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.049933</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.539386</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss               3.264200e-01             0.583979   \n",
       "agg_test_loss_p             3.264199e-01             0.530546   \n",
       "agg_test_loss_kl            1.415805e-07             0.053432   \n",
       "agg_test_loss_mse           5.554044e-02             0.050668   \n",
       "agg_test_loss_p_weighted    6.167767e-02             0.099437   \n",
       "agg_test_score              3.264199e-01             0.530546   \n",
       "n                           1.000000e+00             1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                               0.600801   \n",
       "agg_test_loss_p                             0.600801   \n",
       "agg_test_loss_kl                                 NaN   \n",
       "agg_test_loss_mse                           0.044556   \n",
       "agg_test_loss_p_weighted                    0.113829   \n",
       "agg_test_score                              0.600801   \n",
       "n                                           1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                                    0.603395      0.908300   \n",
       "agg_test_loss_p                                  0.603395      0.899200   \n",
       "agg_test_loss_kl                                      NaN      0.009100   \n",
       "agg_test_loss_mse                                0.047060      0.052031   \n",
       "agg_test_loss_p_weighted                         0.114300      0.172292   \n",
       "agg_test_score                                   0.603395      0.899200   \n",
       "n                                                1.000000      1.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                   1.405925    1.456276   \n",
       "agg_test_loss_p                 1.398106    1.448933   \n",
       "agg_test_loss_kl                0.007818    0.007343   \n",
       "agg_test_loss_mse               0.050875    0.050474   \n",
       "agg_test_loss_p_weighted        0.257106    0.277617   \n",
       "agg_test_score                  1.398106    1.448933   \n",
       "n                               1.000000    1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                             1.629111   \n",
       "agg_test_loss_p                           1.629111   \n",
       "agg_test_loss_kl                               NaN   \n",
       "agg_test_loss_mse                         0.051648   \n",
       "agg_test_loss_p_weighted                  0.275075   \n",
       "agg_test_score                            1.629111   \n",
       "n                                         1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               2.607442             2.559804   \n",
       "agg_test_loss_p                             2.493560             2.559563   \n",
       "agg_test_loss_kl                            0.113882             0.000241   \n",
       "agg_test_loss_mse                           0.058096             0.051622   \n",
       "agg_test_loss_p_weighted                    0.467946             0.454760   \n",
       "agg_test_score                              2.493560             2.559563   \n",
       "n                                           1.000000             1.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                    2.821728             4.716095  \n",
       "agg_test_loss_p                  2.806924             4.716095  \n",
       "agg_test_loss_kl                 0.014804                  NaN  \n",
       "agg_test_loss_mse                0.049933             0.050778  \n",
       "agg_test_loss_p_weighted         0.539386             0.811491  \n",
       "agg_test_score                   2.806924             4.716095  \n",
       "n                                1.000000             1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'np', 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_NP'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=np, trial=<optuna.trial.FixedTrial object at 0x7f8d6e356a58> params={'learning_rate': 0.003, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'batchnorm': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/np/version_-1000/_ckpt_epoch_0.ckpt\n"
     ]
    },
    {
     "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": 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aW0NhwEAz7YOA5rpjEvCZFWWxC/z9/Yt13h6YMWMGUkoOHz4MwP79+1m0aBF79+61sWQKRcXBaopASrkbuGGmyxPAKqlxAKgphGhgLXnsgZCQENzd3fOdc3d3JyQkxEYSVTz+7//+j1mzZjF79mwOHjxoa3EUigqBLY3FvsClPO/jdOcUJSQoKIgVK1bg4+ODEAI/Pz9WrFhBUFCQrUWzCVlZWXzyySd8/vnnhnM9e/akT58+7N27l5dfftmG0ikUFYdKEVAmhJiEtn1k19sclhAUFMTXX3/NlStX+PLLL3n00UdtLZLNuHPnDlOnTgW0+IFNmzbx6KOP0rhxY1588UVDRlKFwt6x5YogHmiU572f7lwhpJQrpJRdpZRdVWnBotF7VYWGhtpYEtvi5ORkWA399ttvhvPNmzfn119/Zfny5bYSTaGoUNhSEWwCxuu8h3oCyVLKBBvKU2V47733AGjWrJmNJbEt7u7uhIWFsWPHDjZv3gzAlStXOHPmDLdu3bKxdApFxcFqcQRCiDVAX6AOkAjMBZwBpJTLhObg/V80z6J04DkpZZEBAiqOoGju3r1LZmYmbm5uODs721qcCsWUKVP49NNPWbJkCf/+979tLY5CUW7YJI5ASjlaStlASukspfSTUn4ppVwmpVyma5dSypellE2llO0tUQIKy3B1daVGjRo4OzvbdcqJ7OxsoqOjuXz5suFc3bp18fT0ZOrUqQQGBtpOOIWiAqFSTFRyjN3o27Rpg6urK4sWLbLrlBOXL1+mcePG+Pr6smjRIrKzs5k7dy7nz58HIC0tzcYSKhQVA5ViohKjzy2Unp5uOOfu7m54n/d1Xuwl5cSlS5fo3bu3IbL69u3beHh4kJubS3p6Os7OzvkijhWKqoyqR1BFCQ4OLnSjT09Pp379+iQmJhpVAmA/KScaNWpETEwMs2fPJjs7G0dHRwAcHBzw8PCwsXQKRcVBbQ1VYkzd0K9evUp4eDj16tUz2m5vsRgLFy7kgw8+wM3NjalTp9KiRQu2bt1qa7EUigqDUgSVGHO5hcaOHcvixYtxc3PL12bvKSfi4uI4d+4cTz75JCNHjqSybY0qFNZAKYJKjLEburu7O/Xr12fUqFE89dRTdO/e3dAWEBBgVyknzp49S/v27enZsydnzpwhMzOTpUuXGl5v2LCB7OxsW4upUNgcZSOoxAQFBbF7927CwsLIzMwkICCAkJAQxo4dy6FDhxg6dCgdOnTg9OnTfPrpp4wYMcLWIpcraWlpnDihZUFv1aoVp0+fpmXLlvj4+LB27VocHBxwcFDPQgoFUspKdXTp0kUqTJObmytXr14tAenq6ioTEhJko0aNZOvWrW0tWrmTnp4ujx8/LgMDA2Xz5s3lmTNnTPZdvXq1DAgIkEIIGRAQIFevXl2OkioU1gc4Ik3cV4tcEQghHICOQEPgDnBCSnnVuupJUVKEEIwePZoffvgBd3d3XF1duXTpEp6enrYWrdxxc3Ojffv2REVFGc598sknREdHM3nyZJo2bQoUdsPVx1sAdrONprBvTMYRCCGaArOBR4BzwDXAFWiBlhJiOfC1lDK3fETVUHEE98jMzCQiIoKDBw/y8MMP8/TTTxfqI6UkNjaWGjVqUKtWLRtIWbHo3bs3e/fu5ZVXXqFDhw6MHDmStm3bqhKfiiqPuTgCc4pgDVrVsD2yQCchRD1gDHBTSvl1GctrFqUI7hEdHU3jxo0BaNy4MRcvXuTOnTt888031KhRg6eeeorBgwdz7do1NmzYYHduo1FRUaxYsYKmTZvywgsvALBu3Tri4uKYPXs2OTk5REVF0aRJE5PeQ6tXr1arAkWVoEQBZVLK0WbargIflYFsilIgpeTBBx9kz549PPXUUwDcuHGDF154AW9vb/r378/Ro0dJTEw0BFPZE9HR0YZMrO+//z5hYWGGVdOlS5e4efMmbm5u+Pv7G10RAGqLSGEfmDIe5D2AB9BWAOP1hyXjrHEoY7F5rl+/Lp9//nkJSEBu3rxZPvHEE3L06NEyOjra1uKVK1FRUTIkJMTwXWzbts1ov9WrV0t3d3dDv4JHQEBA+QquUFgBzBiLi8w1JIQIB5oCfwI59/SHnFq2Ksky1NaQZXTt2pWLFy+yd+9enn/+eQ4cOMDevXt54IEHbC1auRMdHU1GRgZ+fn4cP36cjIwMunfvnq++c0REBGPHjjU6XghBbm65msIUijKnRDaCPINPAW1kUR3LCaUI7pGeno6LiwvJycncvXuXBg0aoJV5yM/GjRtJTk5m4MCB1K9f3waSVhxatGjBuXPniIyMJDAwEE9PT0PNBg8PD6MZSZXRWFEVKG09ghOAT9mKpCgLZs6cSbVq1ahduza+vr6kp6eTmZnJ1atXSUlJ4fbt28yePZuLFy8yYcIEu1MCSUlJ7Nu3j7NnzxrO9ejRg4ceeohhw4ZRu3ZtDh8+bGibNWsW1apVyzeHvafkUNgHJhWBEOJHIcQmtApjfwshtgshNumP8hNRYYr09HTDlkWDBg3IzMwkMjKS+vXr849//IOkpCTef/99lixZYmNJbcPu3bvp1asXLVu2ZObMmRw6dIjw8HB+/fVX2rRpQ82aNfP1nzt3LitXrjQY1n19fe0qJYfCfjEXULao3KRQWExERATBwcHExMQYblj+/v4sWLDAECdQt25dDhw4wKBBgxgwYAAtWrRgw4YNtGzZknbt2tlS/HKlVq1a9OzZkwMHDrB48WJat25tyL30008/GR0TFBSEi4sLGRkZPPHEEypdtcIuMOc++lt5CqIomoIRsDk5mu0+NjY2n5vj1atXGT16NGvXruWtt97i3LlzjBw5kjlz5tiVIujbty/79+/np59+4sSJE/kS8Bnj119/5cqVKzz44IP4+vqWk5QKhe2xxFg8HFgI1AOE7pBSyhrWF68w9mwsDgwMNOnvDvmNmidPnuTmzZu0bNmS3bt3ExERwYgRI+x+m6NBgwakpqZy6dKlQltDjz32GFu3buXHH39kyJAhNpJQobAOpa1Q9j4wVEp5qmzFUhSXoiqL5W1v27YtiYmJnD17ls6dO9td5lFTpKamkpqayjvvvMPBgwd599136devHwAPPfQQnp6enDlzhtTUVAYMGEDt2rVtLLFCYX0s8RpKLKkSEEIMFEKcEUKcF0K8bqTdXwjxixDiDyHEcSHE4JJcx14oKkVEvXr12LFjBz169GDu3Lns2LGD3r17M2fOnHKSsGLxzTffULt2bYYNG8Zvv/1GVFSUwaMqPj6effv2kZiYaOj/2muvsXbtWv73v/8xevRozp07Z0PpFYryw5zX0HDdttARIcQ6IcRo/TndebMIIRyBT4FBQBtgtBCiTYFubwH/k1LeBzwDLC3xJ7EDQkJC8gVB5cXV1ZWQkBASExM5dOgQ33zzDStWrAA03/ns7Gxu375dnuLanPT0dG7cuMEPP/xA3759WbVqFW5ubnh6ejJ37lx+//13BgwYUGjcI488wqhRo1SSPoXdYG5raGie1+nAo3neS+C7IubuDpyXUl4EEEKsBZ4A/i4wj97W4AVctkBmu0W/v//mm28SGxuLo6MjOTk5hoI0QUFBXL9+nf3797N8+XLCwsKYPXs2AwcOxNnZme7du3Pw4EEbf4ryY9y4cQwbNoxvvvmGDRs20KhRI0NbmzYFn0ng9u3bCCF49913VcEahV1hThH8H7BdSplUwrl9gUt53scBPQr0mQfsEEL8G6iOlvJaYYagoCDWrFlDbGws33//PUOHDs3XXqdOHerUqcPdu3epW7euYd/bwcHB7urzuri44OLiwtSpU5k6dSpZWVmMGjUKV1dXVq1aVah/v379OHLkCIcOHaJbt242kFihsA3mFEEjYL0Qwhn4GdgGHCrjVBOjgTAp5QdCiPuBcCFEO1mgxoEQYhIwCYreJ7cXHBwccHFxAWDbtm0cOnSIwYMHG25gffv2pW/fvoCWWDA7O9to+gl7Iisri/Xr1+Pq6sqzzz7LoUOH6Nevn8Gt1NXVFXd3d4QQpKWlUa1aNUP6CYWiKmNy/SulXCil7AcMBo4BzwNHhRDfCCHGCyGKylcQj6ZM9PjpzuVlIvA/3fX2oxW+qWNElhVSyq5Syq5169Yt6jNVeTZv3kxOTo5hf3vLli3MmzePgwcP8vvvvzN//nx+/fVXpk6dSp06dVi9erVdKoGffvqJ5557jrVr1wLg7OzMunXrCAsLY/Pmzbzxxhvs2bPH0H/Pnj2kpaUREhKCh4cHP/74o61EVyjKlSI3QqWUt6WU30sp/6kz6s4H6gKF19b5OQw0F0I0FkJUQzMGF0xNEQv0BxBCtEZTBNeK+RnsFv3NfdCgQcyZM4euXbvy66+/MmfOHDZu3MjevXsN+XYCAwNxcHAgMDCQiIgIG0tePpw4cYKwsDCmTJmCp6cn06dPZ9SoUTz99NP069eP1157ja5dC7tVu7m5mTTKKxRVkSIDygCEEL5AAHm2kqSUuy0YNxitgI0jsFJKGSKEeActL/YmnRfR54AHmuH4NSnlDnNz2nNAmSX88ssv7Ny5k7S0ND7++GOaNGlCQkICd+7cMfRxd3e3ixw6J06c4PDhwxw6dIhly5bx7LPP8tVXX9laLIXCJpQ2DfVC4Gk0b5+89QgeL1MpLaSiKQJ97p/Y2Fj8/f0N3jvWZOLEiVy+fJlly5YREBBgtM/+/ft5/vnniYuLIzU1tVC7PaVWzsjIICMjg5ycHDZv3oynpyfDhg0r1G/kyJEkJSWxbt066tWrZwNJFQrrYU4RWFKd7AzgUlS/8joqUoUyY5Wt3N3d5erVq6163WbNmklAnjlzRkqpVSWLjIyUFy9eLNRXCGG06pYQwqoyVkSioqIkIP39/WVSUpI8ceKEjI+PN7Q3aNBAAvnOKRRVBcxUKLPEWfoioFwnjBAcHGxIAKcnPT2d4OBgq143LCyMLVu2GBKjrV+/ni5duhAaGkpsbCzHjx/nxo0bzJw50+Retz14X508eZINGzZw+vRpQNv7Hzt2LMOGDWPlypW0a9eODz74wNB/w4YN/Pzzz6xdu5Z+/frx3XdFhcooFFUDk+6jQohP0J4e04E/hRA/Axn6dmmjUpUVCVO5f4rKCVRaevXqle+9j48PnTp1ws/Pj/nz5/P555+zbNkyNmzYQFpaGm5uboVsBPZQbGXNmjWEhIQwcuRIqlWrRrt27QgPDwdg1apVtG7dmrxeaPfffz8AmzZt4pdffikUo6FQVFVM2giEEBPMDZRSfm0ViYqgItkITGUDteX++7x58/juu+/o3LkzX3+t/Ym8vb3Jysri9u3b+Pr6snDhwipvKAYt19C3335LnTp1+PzzzxkwYAA7dpj1RQDgzJkzxMXF0aJFi3zRyApFZaZExmIhxDBgn5TyqjWFKy4VSREUrA8A5eOR8+mnnyKE4MUXXzQa8BQREcGLL76YbxXg4OBAbm4uW7duZdCgQVaTrSKSkJDArl27qF+/Pl26dMHFxcXoltmiRYtwcHBg2rRphqI/CkVVoUTGYuBbtACwc8DXaJG97Uz1L6+jIhmLpZQyPDxc+vv7SyGEDAgIsLqhWEopnZycJCAzMjKMtgcEBBg1EHt6esoTJ05YXb6KyqFDhyQgu3btKlevXi0DAgLy/d30hvXs7Gxbi6pQlDmYMRabq1A2UqdFAoEHdMc/hRD+wGEppUoZDcTHxxtsAuWxHSSlZPLkyWRmZhpWA5GRkTzxxBN06NCBrVu3mrRRpKam0rZtW6vLWFHIysrSfuROToYkcl5eXqSlpTFx4kQyMjSTV0xMDJMmTWLw4MG0aNGCP/74gz179tClSxf69Oljy4+gUJQLlkQWRwNHgT+AP4GrgJt1xao8XLtWvoHQQgg+/vhjPvvss3xpI+Lj40lISGDMmDEmM2fag6dQXqZPn46LiwuhoaGsXbuWK1eucOvWLdLT0w1KQE96ejonTpxg8eLF7Nq1i1deeUWlmFDYDea8ht4E7kdLJ3EGOAD8F5gkpcwxNc7emD17Ng0bNsSWOZDat29PbGwsHh4ejBgxgpycHEMBdj1ubm78+9//5saNG3h7e9tM1vLEwcEBJycnfvvtN9566y1AM+SbKryyercAACAASURBVPepX0l17dqVadOm8eCDD5abrAqFLTFnLD4NpAE/AvuAg1LK5HKUzSgVyVhsC7Kzs4mJicHNzY2GDRsWar9+/TppaWns2rWLt99+2xDx3LJlS3bs2MFHH33EtGnTbCC5bTBmOBdCGE3J3aBBA/bs2UPTpk1LfL20NHB1BWVrVlQ0zBmLzWUfbQUMAI4AfYHvhRCHhBCfCyGes4qkiiJJTEykWbNmRpOlgVaPICAggOeee47o6Ghyc3OJjo7moYceolmzZnh4eJSzxLYlODg4nxIAzc5SMBurm5sbCQkJ9OhRsGRG8bh7Fy5fhgJxhgpFhcasjUBKeUNKuRn4f8AbwHrgYeCLcpCtUrBmzRrc3NwYP358uVxPSknjxo3z7fffvXuXyZMn869//cvkuDfffJNz584xceLE8hCzwmDKcC6lxNPTE9C2ixYvXkyrVq1o3rw5qampnD9/noSEhBJdMycHrl6FK1cgPl5TDJmZkJsLdlYbSFFJMGcjeBzNU6gX0BY4CewFZqJtFSmAQ4cOcffuXcLDw41WvSpr/Pz8uHjxYr5zDg4OfPbZZzg5OVGvXj2SkpJ466238PHxsbo8FZnQ0FBcXFy4e/duobYGDRqQkJBAu3bt+OuvvwB46aWXAAgPD2f8+PEEBQWxevXqEl8/72Uv64qwOjhAzZrg4aG9VigqAuYqlD2LduN/DYiUUmaWi0SVjLFjx/LRRx8ZrYFbXjg7O/Pf//4XNzc3FixYwIULF5g+fbrN5KkoHDt2jLt371KtWjUyM+/9fN3d3Zk7dy537tyhfv3C9ZVq1qxJkyZNytwB4Pffd3LpUhQPPNCPgICmVK8Oqs6SoiJgSRrqQVLKbQXOvSSlXGZVyUxg78biovjmm2+4ceMG48ePp0aNGobza9euZd68eYwaNYp33nnHhhKWH8ePH+fy5cucP3+e1157zXDj/+CDD6wW+Z2UBLdvG297+eVRbN26niVL1jB06DMA1KsHqgaOojwwZyw2tyLQM0cIkSGl3KWb7DU0O4FNFIG9ExkZybhx4+jWrZshl1BexowZY3Tc7du3OXPmDJf1exR2QIcOHejQoQMA//rXvzhx4gQ//fQTtWvXLtT37NmzDBo0iNatW7N582aryPPAA/3w8KhBQEAzw7kbNzQvI7VNpLAllvz8HgcWCCEeFEKEAD2AJ6wrVuVh//79LFu2jD///LNcrpecnMypU6fyGUEjIiLw8fHBwcEBf39/o6UoR4wYwalTp1iwYEG5yFnRcHR05NChQ7z++ut8++235OTk8PPPP7N9+3ZACyi7ePEily5dsqocZ8+e4MyZvwzvs7MhLk5bSaSkaO6nWVmQmqoZmuPjTa8wFIqyosgVgZTyus5wvBOIBEbKovaT7Ih169bx8ccfAxj1TS9revTowYkTJ3BxcQEKJ767dOkSEydOJDc3l3HjxhnGeXt7200gmZ5NmzYRGxvL0KFDCQgIoEOHDsyaNYtu3bqRnZ3NI488grOzM5mZmbRu3Zpz587h6OjIwYMHefbZZ+natashbXVZkJh4mT//PEjfvvmT/uXmmr/ZJyVp3kbKwKywFuYCym6jJSvTUw3I1p2TUsoaRgdamYpmI1i/fj2jRo0CykcRFMRUKmx/f3+TEbT2wsCBA9m+fTtbt27lvvvuY/jw4eTk5HDw4EGklPTv3x9XV1e2bNmSL65gz5499OnTh969e7Nnz55iXdOcjeD48SMkJFyibdv78PMLLNFncnKCatU0heDsDF5eJZpGYYeUyEYgpfS0nkhVh6eeeorbt2/j5ORkNFDJ2pjyky+4xXH+/HmWL19OYGAgL7/8cnmIZnMef/xxmjZtSkBAALVq1eLAgQMIIcjKysLZ2Zldu3YZHde5c2dOnjxZ5sF3ISEzOXRoN2vW/FpiRZCdrR16qlUDN5X5S1FKTC40dVlHTSI0/IroM1AIcUYIcV4I8bqJPqOEEH8LIU4KIb6xROiKhoeHB66uruWiBCIjIw373GA6kVzB8/Hx8SxatIh169ZZXcaKwuTJk/n0009p06aNoUCNlJImTZoUsqOcPXuWGTNmsHz5cqpXr06bNm3KPEmfl1ctateuh4uLa5nNef063LmTXzkoFMXF3I7jf4QQG4QQ44UQbYUQ9YQQ/kKIfkKId9FiDFqbGiyEcAQ+BQYBbYDRQog2Bfo0R4tY7iWlbAtUOuf369evExcXV6h2sbU4duwYCxcuZMuWLQCEhIQUKrJirBRl06ZNWbhwod2sBvKit6Ncu3YNKSVxcXFMmjSJiIgIQz72qKgoPvroIzZs2GA1OWbOnM9zz00jMTG+zObMyYHERM3gHBurBa4lJmp2B4XCUszGEehu3EFo0cUN0OoXnwK2At9KKQuHbN4bez8wT0r5D937NwCklKF5+rwPnJVSWpyyoqLZCCZMmGCIKE5NTaV69epWvd6xY8fYtm0b7dq1Y8iQIYB2o5s1axYJCQk4Ozvz1Vdf2UUpyqK4fPkyWVlZ9OnTx+gWmpOTE7m5uZw7dw4HBwe+//57GjVqxEMPPcSiRYuoWbMmb7zxRrGuac5GsGnTGqZNG8OQIU/zySdrS/KRLMbTE4x4ySrsmBKVqiyDi44EBkopX9C9Hwf0kFJOydNnI3AWTdE4oimOn8zNW9EUwbRp01iyZAmgrQ6M+aiXBykpKXjpLId+fn5Wd4OsDPTs2ZODBw+azDaq5++//6Z163uL2/Pnz9O8eXOaNGnChQsXinVNc4rg9Om/+PHHNbRu3ZEhQ54u1rwlwcdHi1FQKKD0AWXWxAlojpbd1A/YLYRoL6W8lbeTEGISWqnMCldc5eOPP6Zv377k5ORYfTVgjho1anDu3DmaN29u1FaRkZHBoUOHAOwmz76Pjw+NGjUiOzvbaAK5Ro0acfHiRZyc8v83qFu3Lu+9916ZK/UPP/x/XLkSz+jR/yzTeU1x5QpUrw7e3iottsI81lQE8UCjPO/9dOfyEodW5yALiBJCnEVTDIfzdpJSrgBWgLYisJrEJeTJJ58st2tFR0cTHx9PQEAAfn75bfXNmjUjNzeXrKysQuNu3LhBnz59qF+/PleuXCkvcW3Kxo0bgcKxFqDZUUJDQw1KICEhgVOnTtGwYUNatWrF7Nmzy1yeU6eOcelSFDk55WfZTUvTMp82aKBiEBSmseZP4zDQXAjRWAhRDXgG2FSgz0a01QBCiDpAC+AiCpOsXLmS3r178+WXXxZqi4iIoHHjxri6uhIYGJjPM8bd3Z1evXrRs2fP8hS3QhAUFMSKFSsICAhACEFAQAArVqzIZ0fZuXMn/fv3L2RkL0v++9//sXDhl6SllW+ocFYWJCRAcrIyIiuMU6QiEEJ8J4R4TAhRLKUhpcwGpgDb0QzM/5NSnhRCvKOLVEbXliSE+Bv4BZglpUwq3kewLZMnT0YIwaRJk0hJSbH69fz8/HjggQcICAjIdz4iIoKJEycSExODlNJQkF2vDLy8vPj9998NT8n2RlBQUL5CPUFBQbz33ns8+eSTHDlyhHr16tG3b19at25NTk4Oe/bsYffu3WUqg6OjI7NnT2TWrPKv65SVBTdvaspAoSiIJdlHHwGeA3qiFab5Skp5phxkM0pFMxYPGDCAnTt3AnDq1ClatWplEzlMRRgHBAQQHR1d/gJVAIYMGUJsbCw//PADjRs3LtQ+bNgwfvjhB77//nuGDRtmOJ+enk716tVxdXUtVN2sKMwZi2NiLvDPfw6jSZNWLF26vljzlhUODtCoEZRz3KOiAlAqY7GUciewUwjhBYzWvb4EfA6s1u3v2y3Lly/npZdeonr16jYtA2kqwtjUeXvgzJkznD9/3qjNBGDWrFlMmDCB7t275ztfrVo1evXqhWsZu9xs3ryOwYNH8c9/vlam8xaH3FwtoZ2nyhugyINF7qNCiNrAWGAccBmIAHoD7aWUfa0pYEGssSKIiIggODjYUOg9JCSk0vnhW7Ii8PPz4/r161y9ejVfrYKqytmzZ7lz5w6tWrUyJOmzNtevazdaY7RpU507d9I5eTIVd3fbeZg5OyvjsT1SouL1eQZ/D+wB3IGhUsrHpZTrpJT/Bip9JXS9R4mpvfWKxqRJk/D29i6UKsKSCOO7d++SkZFBRkZGuchqa1q0aEHHjh0tUgIffvgh7u7uBAcHl+qaUVFalG9OTuG2yZPfZMqUt3B2rlaqa5QWvfFYpaVQ6LHkmWCJlLKNlDJUSpnPGduUdqlMBAcHF0oPkZ6ebvEN4dNPP2XmzJmcOHHC5BZEWZKSksLNmzfJLeD+YYlnzIULF0hPT6dOnTpWl7MyEBkZycqVKzl27BgZGRncuXOHHGN38GKQk6Mpgj//1P6NjoZLl7Sb7osvvsrGjat5+OHmZfMBSkFWFly9amspFBUFS4zFw42cTgb+klKW+0+prLeGHBwcjEadCiEK3WyN0alTJ44dOwZo6Yt79+5dZrIZ486dO9y5cwd3d/cy38OuasyfP5/09HTeeOMNPI1sis+ePZv333+f0NBQXn31VTIyMnB0dDS43167do34+Hhq1qxp8TUPHNBu/gVxdAQHh1xGjtQiu86dy8XJyfYWW29vsINdQgWl3BoCJgJfoOUcCkIzEs8G9urSRlRqLM3eaYryTuLm5uaGt7e3UgIW8PHHHxMaGmrS86dbt248++yztGvXDicnJ4OnEEBaWhrp6en5it6XhqysHE6fjmTmzI0sXXqZw4fh5Enb+/XfuqVlL1XYN5asCHYA46SUibr39YFVaB5Eu6WU7awuZR7KekVgKuq04LZKVWDOnDmcPn2a0NBQmjVrVvSASs7HH39MamoqM2bMKGQ/KYrk5GQcHR2pXr16sdKLm1oRpKenMHGiFy4u1QkLu2dNrl8fjHi2ljseHqB2DKs2pc015KdXAjquAo2klDeEEJXedVR/sx87diyguQ5WZCXw9ttvc/HiRYKDg2nRokWxxv7888/s37+fGTNm2IUimDZtmsV9w8PD2bJlC2PHjmXIkCGGBH5lSePGXahWLX8VmcRELQVEjRpa9TF9BbLUVK0NtBt0w4ZlLk4+0tKgVi2Vk8hesUQR/CqE2IwWTAYwQneuOnDL9LDKQ1BQEI8//jiZmZl4enpSrZrlXh2RkZHk5ubSsWPHYo0rKdu2bePgwYO89NJLxR47b948bt26VWwFUlXJzMwkOTkZJycnjh49yrp16wrFFJQV7u41WLDgCN9++zaffz6Jp58OoUaNuoAW8XvzpumxMTGS3377mc6dO+HjUwdXV83108Gh7G7cUmqBcMUwhyiqEJYogpeB4WhxA6BtC23QFbB/2FqClTfGjImWMHToUBISEggICCAsLIy+ffuWrWAFmDt3LomJiSV6on/00UetIFHFZd++fQgh6NGjBw5GnOZXr17NxIkTee655/j3v/9N9+7due+++wB44403iIqK4j//+Q+NGjUqNLak7N+/hsuXzzB48CsGRVAUR45sZPHi4fj5teU//zlhOF+tGrRrp/1bFqSmKkVgr5hVBLoqYzullA8D1ivdVInp2LEjCQkJxMTEcO3aNatfb9CgQVa/RlWhb9++ZGVlkZGRYXS15unpSe3atXFzc+O+++4zKAGArVu3cvz4cV5//fUyVQRPPjmHu3dT8fKqZ/EYvfdagwb5V3KZmXD2LDRvrimD0qaNyM7WVia1apVunqpGTg7cvasZ9jMzISNDW0FJqbUJoW3pubho/zo4aH3150F77ex8b5y+T0aG9q/+AG2V5+x87yiPdCCWGIt/BoZLKStEuipr5RrSR+aOGzfOUHHMUv7++29u3LhBq1atKrSP/oEDBzh//jz3338/TZs2tbU4VufBBx8kKyuLvXv34ljMPZTNmzeTkpLCwIED8fb2tnicKWNxYuJF5s59AB+f5sybt6dYsty6dYXo6D/x9KxD06bGQ3eE0JSBi4t2I2ncuOQrBRcXzS7h7Fyy8ZWR7Gztppydrd2oMzPvBdxlZWnnbIkQ4O4OdS1bRJqYo3TG4lTgLyHE/wFp+pNSyqklF6nioU/P8NNPZgukGaVNmzZFdyojNm7cSHZ2No899hhubm5FD8jDZ599xqpVqwgLC7MLRbBnj+U33N9//52YmBh69epFYGCgoQxoWZGVdZfk5ESqVy/+43bNmj506jTQbB8ptRuZPmg8Nxdam6wobp6MDK32sYcHeHnde6qtCkh572afna3ZRe7etf2Nvij08loLS/7E3+mOKs2hQ4f47rvv6NOnj61FMctLL71EYmIiCQkJxVYEvXr1Iicnh8DAQJN9qkLepZKwdOlS1qxZw+rVq81+PyWlQYMWLF16mZiYPzl6dDNNmnSlZk0fi8ZeuXKe5csnUrduIJMnf23RmORkuHhR8zYqSciJ3nh8+7Y23s1NWyE4OmpPp3pDdUXKYpqRce9JXr814+iovc/M1LZxcnIq/k3fFliSffRrIYQb4G/L9NPWplu3bnTr1q3Y43x8fEhMTOTdd99l8ODBdO7c2QrS3WPo0KHcuHGj2H7xoOUpmjRpksn2gjEV+rxLQJVUBidOnODFF1+kRYsW9OrVCyGEIV31b7/9RlxcHA8//DANy8B309HRiVq1GrBy5b84cuQHXnnle7p1G1b0QODs2X2cPr2b06d3W6wIQEshcfWqlmCuQPmKYnH3rnaYwtHxnlLQH3r0Nnop753Xv9YrE73bbN4btH7PXL8Pr9+e0b/Xz6PfV9e3KUpGkYpACDEUWARUAxoLIToB70gpHzc/suojpSRR5+w9Z84cateubXVF8Pnnn1ttbnN5lyqbIkhPT8fX1xdPT0+TqbgzMzM5cOAAGRkZfP311/mixENDQ9m+fTtbt24tE0Wgp3HjruTkZOPpabkt6fLl0wB06jS4RNdMSNBu5HXrals9ZR0roH/SVlReLNkamgd0B34FkFL+KYRoYkWZbMLMmTP57rvvmDdvHhMmTLB43LVr11i/fj0xMTF06tTJihKWnqysLNLT0w3pFApSlWoaZGdnc+vWLbLNbKy2bNmSffv2GQ0e69u3L97e3vj4WLZ9UxQJCWf58cf/4Ovbmtde21yssS1b9uaRR/5Fp04l9xjTxyr4+IAVdr4UlRxLvIYOSCl7CiH+kFLepzt3XErZoVwkLIC1vIbyphGwpEaDLZBSkpaWRrVq1UoUvDZ//nzmzJnDm2++abQ2b1WqcialNGRptcST6/bt20gpqV69erE9jPJiymvoxIldhIT0p02bvsyZ80uJ5y8tQkCnTppnkKJy4eKibfOVlNImnTsphBgDOAohmgshPgH2lVycislHH30EwJgxY2wsiWkyMjLw9PQscVEZDw8PPD09Td7oLKlpUFkQQuDt7W2xO++wYcPw8vLi119/tYo8DRu25IUXljNo0AyklOTmWr6XkpWVwebNH7B58wellkNKLT22QpEXSxTBv4G2QAawBkgBpltTKFswbdo0pJTFKkiTmprKc889x9ixYzl58qTBXmAtMjMzqV69utFtHUuYPn06KSkpvPPOO0bbLalpUJW4e/cuCxYsIDQ0FDc3t3zpRTIzM0lJSSmzIj7e3r707z+JCxcOMWaMA5s2vW/x2Fu3EoiIeJWIiFfLRJZr17RAtHIon6GoJBSpCKSU6VLKYCllNyllV91rMz4E9kN6ejphYWFERETQrl07li9fbtXr1ahRg9TUVJKSkqx2jaCgIL766it8fX1p2LBhpVUCN2/eZPz48cyYMcNkn+zsbIKDg5k/f74hgOzBBx8ENDddLy8vVq9eXaZyOTo66a5tuYJZs+YNAOrUsSw1uiXcuAGnTtk+DbaiYmCJ11AL4FUgMG9/KWU/C8YOBD4GHIEvpJTvmeg3AvgW6CalLHsDQBHk5OSwa9cuHB0d6dKlCx4eHhbtE3t4eLBy5UpWrFhBcnJysSJQKzIvv/wycXFxxMXFcePGjUr5uW7fvk14eDh+fn58+OGHRvu4ubnxxhtvGI3H0K+8ipOC2hxJSXFERR2lU6fBDB8+BwcHy+0Qnp618fb249ln/1smsuhJT4eYmIqRBlthWywxFh8DlgGRgGFjU0oZWcQ4R+AsMACIAw4Do6WUfxfo5wlsQXNPnVKUIrCGsfj27dv59t3Pnz9fISNvSxvs9dZbb7Fo0SIyMjIICAgwOX78+PGEh4ezZs0ahg8fXi5ZVcua1NRUNmzYgJubG6NGjSqXax48CF9/DR07am6aedm7dw3//e8Y7r//GaZOXVMu8lhKzZrg6wslzLuoKCesaSy2xH00W0r5WQmu2x04L6W8qBNiLfAE8HeBfu8CC4FZJbhGmfHII4+wc+dOPD09K2Rx94iICF588UVDta3iBntFREQYlEBR41etWlXsfEsVDQ8Pj2K5AY8bN47Y2FjCwsIMQWXF5cMPYd06zU+/e3fQJ6J1dISaNRvQufMQGjcuWZxJYuIFMjLS8fVtbdheKitu3dJWB/fdV7EihRXlhyUrgnloxWi+RzMYAyClvFHEuJHAQCnlC7r344AeUsopefp0BoKllCOEEL8Cr9piRVBSUlJS2LlzJzVr1qRfvyJ3ykpFaV07izveXlJNnDp1irS0NEaNGkVUVBSnTp2iVatWJZprxw54913Yu7dwlKuPjxbdm55+hdTUr+nSxY3hw6dafON96SUfkpMTWbr0MrVqleKx0AwtW6rMoxUZW68I9I9VeZ/YJVCqoDIhhAOwGHjWgr6TgElgeS3h8iA2NpYRI0YA0LhxY8aOHWvSI6csrlWc86UZX9rVR0UgOTmZHTt2UKtWLR555BGT/QYMGEB8fDwbN27Ey8vL8PsKCwsjLCyMCRMm8Nxzz1l0zUcf1SqNHTkCv/wCkZFQvbqW5uHKFe0AH2A2UVGwdSs88wwMGGB+3g8/HEFyciIODo5WjXFJTFSKwF6xJNdQSU1J8UDeRO5+unN6PIF2aNXOQPsfskkI8XjBVYGUcgWwArQVQQnlKXM8PDx48skn2bx5M1FRUVatR+Dv72/0id5SxVic8ePGjSt0w6lsqSZiYmIYNWoU7dq146+//jLZr3379vj4+NClSxf8/Pzyjf/tt99KlISwTh146intAC39wl9/5XLnjiAuLoX9+3NISvIiPd2RlSvh+nVo21bbQsrN1Z78/voL/vhDG3/58gTgD95770e8va1Xs/LWLS0VRUmS1CkqNya3hoQQr0kp39e9fkpKuT5P2wIp5ZtmJxbCCc1Y3B9NARwGxkgpT5ro/ys22ho6efIknTt3JjMzkz59+hAcHFysal7JyckkJSXh5eVF7dq1y1Q2PQUTwoEW7GWpn3/Bp3xT43Nzc816TK1evbpSKIPo6GheffVV/P39Wbx4cbHHR0VFERMTQ2BgYLGykZqKLN669UPCw19h8OAZjBunyfPzz/Dll5YlS3NyyqVpU/DycqBOHa3WgJMT9O9ftlXFnJ21QjcljFms8mRna/YU0JR2Vta9WhDu7iVL2a1PsJedfa+YjbH/grbaGnoG0Ee9vMG9msUAAwGzikBKmS2EmAJsR3MfXSmlPCmEeAc4IqXcZOkHsDYZGRlkZmYCsHv37mIZGQG8vLysUuw8L0FBQVy5coX58+eTnJxc7H37oKAgEhISmDVL2+Ez5TUkhKBRo0ZcunTJ6DyVZYsoMDCQb7/91myfvHaQmjVrMnDgQL744gvc3d1p3LhxiY3GxtBHEud1G+3fX9uK2bfvXs1iIbSn8nr1oE8f7eaycyfs2ePAGSO5f3//HebMgbLy8M3Kgr//1mwajRrZVzH7jAzt8+srh+kD7tLStDKeOTlF1wTQZ1XVVy7LW2HMxeVexlT96i8tzfiDgKOj1t/F5d6c3t6lUwRm5TazIsibW8jw2tj78sQaKwIpJRkZGfz111+kp6fTqlUr6tevX+S43NxccnJycHJyKjN/c3OsX7+eUaNGMXLkSNavX1/0gAIkJSURGhqKj48Pr75qOkrV2OojL5Ux91BBTH3G5cuXm03VXRSmVgSg/c5SUq4RGbkJN7ca3H+/5W6t778/lQsXrjJoUAgODk3JzoZDh7Q4ABcX7Sbh5aU9yTs6Qs+emudSaXBygvr1oXZtTSFVdvTprHXPfGRkaAo4PV07V9GD62rVgn/8o+Tjza0IzCmCo1LKzgVfG3tfnlQkr6Fdu3bRv39/atasyfjx4+nYsSPPP/+81a73xx9/EB4eTocOHXj22Wetdh3QbpRjx4412iaEMNTRrQgY83B65plnyMrKwsnJCScj63VTXlSNGjUiNjaW0NBQ3n///WKvvswpAoDo6D9544378PfvwMKFxyz6fGvXvskPP4QCEBz8M+3aaR5qqamwaBFGVwoAL78MvXtbdIkiqVZNsx04O2tPp/oaAgVf659eIf9rfaEYIbTXDg73xha16sjKuvekrt9CgXtP1/paBOnp2mpK31f/RJ63znBlxpqKwNzWUEchRAogADfda3TvlTkJbUXg5OTErVu3WLJkCSNGjLCqIihYYN0aXLt2jcmTJ9OwYUMCAgJKZaAuD0wV0zl9+jTz58+nd+/eRktWmvKiiouLIyIignnz5hm2C8vSa6pGjXo8/PBEate27DuUUrJpkxaQ/+GH5/D2vmfQ9vCAuXO17YVbt7QjNVWrTPbjj7BsGRw9qq0OunUrXYxAZua9J+myRn/Dhns365ycsnlCz2MSU5ihyDiCioY1VgRHjhzhvffew8XFhc6dO9OhQwcGFOXTl4dz586xdetWmjdvzuDBJSseUh5IKTl79iwZGRl06GA8i/i5c+do0aIFTZs25e233+aFF17gbp7yVMUxUJcHpp7sa9SoQUqK9uxizB5iLq4CKHHMhqkVwS+/rOTw4e946KHn6NFjhNk58pKbm8vmzYvIzs5g+PA5Fo9btw42brz3vmdPePxxLYK4EgaKnsp57gAAIABJREFUK7DR1lBFxRqK4Pvvv2f48OGG9y+99BKffVaSYGrrcv36dW7evEmdOnWoVQKHbyklDrq1ek5OjuF1XlJSUti2bRuurq488cQTFT6wzMHBwSLf+oIKzJiNwNXVlS+++MKo+yxYtiVmShGEh7/C1q0fEhS0iCFDZhYpb1mQkKDFMmzYcK/UZI0a8NZbmiFYUblQiiAP1lAE8fHx7Nu3j6ioKK5cuUKvXr0MgWIViaIKy1hC+/btEUJw+PBhXKpAdRJTT/bGKPhEn1fJSSkNN/rSRHGbUgRxcX+TmHgBX9/WuLnVIDs7g9q1Lb8b7937DefOHaB37yCaNeth8TjQAtk2bNBST1+9qkU4z59fMldHhe2wlY3AbvD19eUpffRPMfjll19YuHAh9913H/3798fLy4tu3bpZQUKNGjVq0KxZM+rVq1fiOcwFVxnj+vXrHDp0iJo1a/LAAw+U+LrWIiQkxKyHU14K2gWCgoIICgri5ZdfZunSpYZEg8bmLG2BHj+/Nvj5tSE7O5Nx41xwdHQiPDyzSG+zzMw7XLx4hC1bFhMVFUlAQMdiKwIfH81wfPcuzJ6teRqtWAFjxpRtDIKi8mJJYRqFCeLj49m+fTvh4eEMGDDA4KNvLaZOncq5c+eYNm2a1a5x+fJlVq1axS+/aOUUjx49ymOPPcbcuXOtds3SEBQUxLJly/D19UUIga+vr8mgPlNG7l27dgEYXHKDgoJ4/fXXDe1lWaDHyakaNWv6UKuWLzk5RVeGSUq6xNtv9yEqKpLx4z+iWbOeJb62qytMnqx56+zZA1Onai6oCoVaEaAlHjt8+DBNmzalXr16CCFo1qxZkeP69evH1q1buXbtGqtWrTJpgK1MHD9+nAkTJvDoo4/y8MMP06BBAwYOHEjnzjbxFraI2rVrEx+vZS+ZMWMGPj4+TJgwgZyce+UgzT3Rh4aG4uTkRJMm99JnjRkzhrCwMNq1a8cPP/xQahlPnPiZK1fO07ZtPz77LMHicQ4OTrRs2Rtvbz8GDSr9A0DLltq20Lffah5FS5bA9OnQpYvKPGrPKEUA7Nixg+nTp3P//fezf/9+unTpgiV2iIYNG9KwoZb7Zfz48dYWs0wYNGgQf//9Nzt37qR58+aF2n18fAgKCqJ9+/aAZlPYtm1beYtZLDLz+DXWrFmToKAgbt68ybvvvsu1a9eKNHKnpaUZNYhfuHChzGT85Zcv2bdvDZMnh9OgQeHv3RT16zdh3rzC7q+loXFjePVVCA+Hbdvggw80b6LJk6FJqVJJKiorShEALVu2ZNy4cQQGBnL16tV8yccqEjNnzmTLli0sWrSIIUOGlGiOy5cvExsbS1pamtH2Tp06lXl5RmszbNgwpJTk5OQY8iRNmTKFKVOmFDGy/DKttmvXH1dXDxo0aFGi8deuRZOQcI66dQOLpUhMIQSMGwdublr67Ph4+OorLY22wv5QNgJg4MCBrFq1ipYtW5Kdnc2mTZsIDAwsspD9n3/+yaeffsrvv/9eLnJeunSJM2fOWGQYNcWmTZuIjo6mTZs2Fo+RUpJVCSqdW1JetCDBwcH5EvHBvUyrZcnDD0/kxRdX0KxZd5Yvn8hrr3UgJsayyGKAPXtWExr6KLt3h5WZTEJoGVI/+URLIXH+vGZIVtgfShHo0PuVx8TEIKU0PBmaUwa7du1iypQpzJ8/Hzc3Nzp16mRVGZcsWcLff//NP0rhQxYQEEBAQIDJ8pN37tzh1q1bhu2Wq1ev4uzsjK+vb4mvWZ7k5uZy7NgxZs2axZYtW4rsb65OQ/fu3WnUqJEhMK2suHr1Ipcu/cXt20lF9j16dDMTJ9bku+/eoV27/tSrV/Z7N66u91JR6OzmCjtDKQK0+ravv/56oSftop4MO3bsyOTJk+nTp8//b+/M45uo1v//Pt0XSqEp+9KCUFahAiL4vagICKJXEZELlkVBkc0NUbmgeBXxKqCyqCyCIrQ/Ea6oICigIrJoVWSHlqUFWQQLhdLSNe3z+2OSNm2TdEua0M779ZpXkpkzM5+cSc5z1uchMzOz0ApcZ1C/fn3atGnjVE+ny5Yto3bt2jz77LOAtsgqNzfXrVsEy5Yto2fPniilCAoKYseOHcyZM4e1a9eWeK6tmURNmzbl9OnTnDlzhrS0tAprTEn5m+TkcxiN2Ywa9QFvvrmXFi1K9gqXlXWN9PQUbr75AaZN+46ePUdXWIs1zAH2tm/XXFXoVC90QwBMnz6dM2fOWD1mLwJYr169eP/99/ONSFnn6LuC5cuXM3HiRPaYo54UwdPTk5o1a1KjRg0AgoKCyMnJ4bLZT7IbcujQIX788UdAM97mKHHr168vsXtv5syZBBRxrWmeYfTTTz9x6tSpUnmiLYn584cwYUIj4uK206hRG8LCOuLnV6PE87p2fZClSy/z+ONLKqzBHmFh0Lq15ptn2jStm0in+qAPFgM+Pj4opay6FSiNgzUPDw/8/f2dIa0Qc+bM4e+//+app54q94D2N998w+rVq+nRo4dVB3bjxo1j3Lhx+Z+VUla9d7oTY8eOpU+fPvz888+8/fbb/P3334DmQK+kgV/zfme70ahRI4Raterj41O234mnpxeBgZWz6uvpp2HuXM2b6SuvwIABcM89VcMFdVlJTy8IQPPXX1oYz+xszW31xYuac7zcXM3Jn5eXlkd162qhST08tLQi2mC82etqYKB2vexszXV4ZiYkJRXEPkhP19L5+2suxWvVKnAr7uGhxSIID9emADsa3cWEifJEAEtOTiYtLY3atWsTFBTkcE1F6dChAwcOHGDv3r107NixXNfYuHEjCQkJ3HXXXURElG8Gi7sSGhrKpUvF+90rM37CyZPw55+QkqJ5BbXGgQPfcfjwj9x4Yx/atr29VNf9+efVLFw4gq5dH2TiRPutnIpgNMKnn2rxlEErsLp0gY4doWFDrXAKCnJfx3VGo1bAml1V+/lprZy0NK0ANr8XgatX4cQJ7VmlpkJyslYo5+U5z9NqRbnpJm39R3nQXUyUgvLUDGfNmsVbb73Fiy++SEJCAoGBgXz88cdO0zh58mTOnz9foYHb8nhHHT16NGfPniU6OprQ0NBy39uZxMTEWDUCYL97zx4rVqwgNjaW0aNHl3pBXVAQmBuR5ihVOTlaTTI7Wyugjh7dypdfvoG3t1+JhuD337/i118/JzfXSE5OFjk5zh2H8vLSppV27qwtOjtyBHbu1DZLvL21mqu3t2Ys/P014+DjUxCVSymtNiuifW/L2ASenlo68/lF4yTn5mqbOc7AtWsFoSHNQ3EiWsFtvmZysuPcTvv4aG6+RbQY1I0bazqDgrSav6entgUGajpTU7XafUZGQdxpEe2zUgWtBw8P7dqZmdpr3boF+WjuVEhP18ZpUlI0Y2XOv6wscNa6Tt0QWGD2PVNaatasSZMmTahRowZr1qwhxFHxAm1QGYvW3n33XdauXcszzzyT73hv69atJCYmkpKS4paGYPXq1Tz55JM2j5c3fsK3337Lp59+Svfu3cu1sto8m9XXV/P3Y2bgwN40aeJH166306CBVoCYC00vr4JuhFq1YNu2PWzfvpJBg/5NTEw6np4+lRJgpW1bmD5d6xb54w8tfOWlSwW1Z3OwGHfDw0MzKubezMxM7bO5FePvrxXwSmn7b7gB6tTR9oWEaPvMx9xtpXVFnc7ZQzcEwJQpU9ixYwczZ87E29ub6OhounbtWmIUsKlTpzJ16lSys7OJiIjAr2i1xg1JSEjg2LFjNG/e3OrK4qNHj7Jjxw6GDh2av2/x4sXk5uZS37I0cyPeffddu4PZ5XUWN3z4cLp3706XLlZb02Vi7NiBnD17ivffX0P37j3p3r1n/jFTCASr3HffQFq0aE7r1jfSrp1WZTRH5TIata4NB89uLUSDBto4wT33FOwTKejTzsnRaqoZGdqrudVjNlaWAdnNkcQ8PbX95rRZWQW1fDOWEc/8/TXDaDaU5kJaKc3ImjEYtHTuVoBfD+iGADh8+DA7d+4kJSWFlJQUFi5cyJUrV0odDtLHx4fBg0sff7a8bN26FS8vL2699dZyLZ4CbdbQjBkz+M9//mPVkdzzzz/P0KFD8z1xAmUK0uMKHnroIQ4ePGh1mqfBYCj3wO/dd99dUWn5xMcf5OTJY2WehtumTQfatCnsw8rcxeLpCW3aaDV0c2B1c4jGc+eKF66OQqmCbiCdqoFTDYFSqh8wD/AElorIm0WOTwIeA4xAEjBKRCp9beOsWbN4/vnnadu2LcnJycyfP98tHcj169eP7OxsMjIyym0IIiIi6NOnD+Hh4VaPN2/evJDzteuBSZMmUa9ePauD/fPmzXOhsgI+/PAr0tOv0bhxGFevppCQEI+/fwCtWrUv1fknTx5n9uypNG4czr//PSt/v1LazJKihIRAYqLWWnDHLhwd98Jps4aUUp7AUaAPcAb4DRgqIoct0vQEYkUkXSk1DrhDRP5l77ruFLz+5ZdfZt26dbz66qukpqZiNBp59NFHnXIvEeGuu+4iIyODn376yWp0MWexefNmjh8/zt13302zZs0q7b5lxdHR1M6dO8fBgwepX79+qSsGly5pNXR7bN26kVGj7uH22/uxfLl9h367d+/iwoVzeHl588QTA2jbNpING6yvAbHF1atw+nTBgKvO9YkzA9M4szTpChwXkQQRyQZWAfdbJhCRrSJirsL9ArintzcbnDp1iv3795OSksLIkSMZNWpUiaEMy4tSii1btrBjxw6nGoHPPvuMWbNmkZiYmL9v4cKFTJgwweYiNFdz9OhRzpw5w8MPP8zJkyfJy8vj5MmTFV4L8PXXX9O3b1/mz5/vIKUaBkNdOnToQnh4S555ZhhdutRlz57Y/OOHD+9l82Yt4PDy5fOZMOEhkpL+YsGCz5g6dU6Z71ezJrRrB127gpVhoWrL5ct/8d//9uXttwe4WorLcWbXUCPgtMXnM4C90EqjAZf4O166dCmXLl1i5MiR1K9fn59++ok///yTBx980O5CsZkzZ/Lcc8/RpEkThg8fjoeHB3l5eZVaWy8v5tCMRVm2bBlbtmwhMjIyv/bfr18/GjRoYLM7yZXk5eXRunVrRASj0VjuLjNrNGvWjN69e9O6desKX+u992ZiNOYwduyLdOjQha+++g2AMWMGcOlSEufPa3+P1NSrPPBAN2rXNtCr1z+JjLwFo9FImzYd6dSpe4V1GAxad9Lp046banm9kpi4m/37N7tahlvgzK6hQUA/EXnM9Hk4cIuIFPMNrJQaBkwEbheRLCvHxwBjAJo2bdq5tDFqS0vHjh3Zv39//kKtFi1acOLECeLi4mjljGV8LmT16tUMHz6cgQMH8umnnxY7vnTpUuLi4njiiSeszipyNzIzM+nQoQO5ubkOjR9QXmx1DXXoEExq6lX27btCzZqaryij0Uhi4lGCg2tjMNTF09OT8+fP8sYbkzlwYDdff/0HgYElu6EoL2lpcOxYwVz86sYHH4xk+/YV9Oo1hsceW+xqOSVyvcYsPgtYRudubNpXCKVUb2AaNowAgIgsAZaANkbgaKGjRo3i7Nmz+T5l+vfvT1JSkkNrlxXl1KlTtG7dmhYtWlTIp5GXlxfZ2dk2HeQ99thj5b62K/Dz8+Po0aOullEi48dPJSMjHT+/ghbm0aOHuOeeSG68sTPr1mnjXvXrN2L+fM1A//rrdn7++QeGDh1DcHAIGzasRinFAw8Mc4imGjXgxhu1gPbJyZphqE40b96Fa9cuc9ttI10txeU4s0XghTZY3AvNAPwGPCwihyzS3AT8D63lcKw0162MweLSDjouX76c48ePM3z4cOrXr09OTg4hISFO6RqKj4+ndevWREREEB8fX+7rGI1GcnNz8/0rlYa0tDQuX75MjRo1qF27drnvfb1iGfCmJEozWJyWlsqdd0aQlHQeX18/One+lZiY74ule/TR/vz44zfMmbOc3r3vIzIyhKCgmuzfn1Ker2GXrCxw0yEgHRPX5WCxiBjRuns2AUeA1SJySCn1mlLqPlOy2UANYI1Saq9Sap2z9JSWssQlWLVqFTNnziQhIYGIiAjq1KlDUlKSU3RFRERw7do1fvvttwpdx8vLC19fX5tGIC4ujri4uELhH+fMmUPTpk2ZO3duhe59vZGYmIifn5/DfTL5+fmTlHQepRTffx9P48bNeOutKQCcPftnft7fe+8QACZPfoTExGMMGDCM++572KFazPj6agVNdeP339exdu3r/PWX+7cqnYlTRzVFZKOIRIjIDSIy07RvuoisM73vLSL1RCTStN1n/4rO4eDBgxw+fBij0ci0adNKHZfgkUceYcaMGURERBASEoLBYHDqrKGAgABqWps07kD69+9PmzZtOH26YJzfYDDQqFGjYu6a3YE//viDiIgIp7jfCAgIICsry2ZYz9KSl5fHnj2xHDyoeQvz8vIiNvYc+/ZdIScnm9Wrl7F+/SoABg/uQdu2AZw+nciDD46gfftO+Pj4EBRUk3ffXcnrry+s8PeyRd26Tru022E0ZpOcfI5t2z5mzZqXyxQtriqirywG/vGPf5CSkkJycrLdiFVFGTJkSP77I0eOOE2fIzl58iTPP/88DRs2tLrY6oYbbsDb27tQof/kk0/a9eXjSpKTkzl27JhT4kzXrVuXa9euVdjFeFZWJgMHdsPHx5f4+EzTtRsA4OPjy/Tpc2nUKIzs7Gx8fHzw9vahQQNteG39+t0V+xJloFYtrWVQHQaPT53az0sv3QzA/ff/u9yxpKsKuiFAC15/9epVfH19adq0KdZmJZXXcZmj2LNnD2+++SadO3fmhRdeKPd10tPT+d///kebNm2sHt+yZUu5r+0Kbr31Vo4cOeKUmAnmVlhFERE6duyKt7d3of3vvDOdPXt+YeLEl7jlltsA2Lr1GFlZWVa/z9WrKWRlZWIw1HHKOJRSmrO5+PgCX/xVlYyMq9SsWZeWLbsxZMgbDruuiHDuXDwBAcHUrt3AYdd1Nu4/4b0SiI2N5ciRI/mRqWxFrCrKvn37iI2NLbHrICYmhvDwcDw8PAgPDy8xapY1Tp8+zerVq9m+fXuZz7WkSZMmrFmzhgULFlToOu5CQEBA/myqysTymYaGhhIaGoqHhweRkeF8+WXh5xsQEMiXX8ayZs2O/H3z5r3KggUz2LFjC9euFR5d9rX0pGZBjx7hdO1an6tXnRdL0tdXW3xWp47TbuEWtG9/J4sXX2DSpJLDmZaFLVsWMnlyG5Yvd88WtC10Q1CEqKgolixZQlhYGEopwsLCbAanGTVqFN26dSMuLo4RI0bQvXv3YnPZyzL4bI/OnTuzatUqnnvuuQp9v6CgIAYNGkSvXr1Kfc62bduIjIxkwoQJFbr39UZMTAxBQUEopWjSpEn+Myv6TC9dusSlS5cQEc6cOcXUqWOKGYOibN2qRX556qnp+Pn588UX0Zw4YX82WEhIHQyGOk6PH+3pqblnbt1aW4B2HayPLDc5OVmcPn2QM2cOl5zYhJeXtpljKfj6Fri9DglpRHj4TaSnXymVF1TLeAyBgdpmjk9QmfmuRygrJzExMTzxxBNcu3aNhg0b4unpyenTp9mzZw+RkZH56cLDw612NVVm1KzSkpeXR7NmzfD19SU+Pj5/ZtG3337L3XffTZ8+fdi82b1WYv7www9888039OrVi379+jnsuvYi1k2bNs3qM7WkUaMwduw4afP4d9+tJzU1hR497mLevP8QHa0NArdv34k331xKu3bFw4i6ChFtSqw5pGJOToGnUxHt1fzeHEzGXKyIaF1ORQs1yzTmz/Ywz94tei3Lwtbsttq8Wd7f/Nl8voj2umfPZiZN6svNN/di4cLv8tN5ehac4+1dECfCcr+1fCp6v6LHzRrM6UrCMl+8vbUAOeVFj1Bmh9TUVNq1a0dISAh79+7N379+/XqmTZtG3759mT17dqFzihYS586dw8/Pj1deeaXYalxbBUZ5o2ZVlNzcXGJiYsjJyWH06NGFjmVlZfHnn38WW2PQvXt3du/ejcFgqGy5JbJr1y7mzJmDj4+PQw2BrdljI0eOJDc3t8Tzz50reL5nzpzi/vu70KRJc778UvMp1Lv3P/OPd+p0K7/9toP4+AOkpqbQsmU7B30Lx2DLw+n1zOOP38+VK5cYNepZbrihNeHhTanoz9vSACQnX+TEiTjq1m1AWNgN+cct05b2mmacub61Cjf6bGPZv9u2bVtOnz7N2bOFFz1v27aNAwcOMGfOnGL9+tYKiczMTJYvX06gOUK16T625uuXdfD50KFDREdHV9jxm4gwcuRIHn/8ccytQXN+BAYG0qhRI954o/DgWXBwMJ06dSLMXgQVF9GrVy/eeust+jo4dJMtQ52bm1uqhXgNGxY83+zsLJKTL5KSkpy/LzX1KvPnv8bnn6/ggQeG8e23+9m/P4WFC9fiUwFH/+fOnWbJkrI7pqsM9u//nR9+2OBqGaSnX2PHji3s2fML3bv35LvvjjBr1kcVvu7Fi39z+PBesrKy+PjjeQwe3IPPP//EAYqdT7VqEcTExPD0008Xim175swZ/P39C60TiImJ4YMPPsj/bO7XB20MobRTTKdNm4a1rjelVJmjZm3cuJEXXniB5557jptuKn+3gZeXFyNHjsTb25u8vDxWrVpVqHVz9uxZpk+fTv369SvsvdPZONrttCW2Zo8BVp+pJf7+AUyeXPB8w8Ju4LffLhQ678cfN/Luu1pgoAcf1NZABAXVLBaExpIXX3yM+PgDzJ79MS1bti12PCsri0GDbuWvv87QsGFT7r3X+cGSysKRI/v4+ON5NG3anBYtrM9aqwwCAgL55Zez7N0bS61ajgsvu2XLV0ydOoYBA4Zx55330LFjV0JD6zns+s6k2rQIzN051gKcZ2RkFFo1O23aNDKKuGa0XFRmqzYfHBxcqN/flsEQEYYPH16mGUStW7cmKiqKzp07lyq9PZYvX86HH36Ip6dnqRbQXblyhenTpxdrKTiTkmZaOWoQ3hbWZo+VBoPBwJIlS5gwIQpv78uEhgp163oSHl6Xpk3r5Q8sbt78hSl9wSouc2Bzf3+tK6ZOHahXT3sNDobExMPs2/crRuMVgoIKYu8CfPzxPC5cOMvEiS9z55330K3bHRX6/llZWRw+7NhFVrt37yQ+/gAbNqx26HXLQ3BwbW6/3XFdiQCenp40axZB27aR/POfQ/jyy1hGjLg+JlhUm8FiW4O2loSFhTFz5kyGDx9usyafl5dHTEwMo0ePJsti5Y3ZBfWWLVvo3bt3qe8ZEBDAyJEj2bhxo1NqtiXh4eFh97sCnD9/ngYNGlCzZk1q167tdJ32BmoBu4O1jhyEj4mJKfWYgLX79+3bl+TkZD755BP27dtHjx498he+RUdHs27dOoYMiaJ///vx9i65D3jfvn1kZGTQrl07goKCAG3Q9pdf9tCjRydq1apNfPxf+Pr6kJ6uKrQw7LXXnuHAgd0sXvwFISGh5b8QWsUnJyeHgwd38/vvO7nnnsHUqBFEcHDl+7Sw5n49KqoXhw7t4auvfsvvz7fk/Pmz1K/fyOY1jUYjn322lPXrV7Fy5Ra8vLxK7cerLPj6ajGky4urAtO4DTExMSUWyFDQBRQSYr25aG4JREVFsWzZMpo0aYJSCoPBkL/6dOTIkfm10tdff73EhU7p6eksWrTIaTVba6SkpHD+/HmMRqPN1o3l/uDgYAYOHEhGRoZdnWVZL2Evra1WytNPP53fCrCFIwfho6Ki+OSTT4otBLOH+f4XLlxg//79HD16lIkTJ/Lwww8zYEBBAJRhw4axevVqBg68Hz+/0g0EduzYkW7duuUbAdBaF7Vr+/Doo48yceIE6tb1JThY0aCB1poICSke0N1s4I1GI8eOFZ82mZmZweeff8L582fsrlnYvXsXiYnHMBqNfP31aptdZm+//TKtWvkSHBzCmDGT2b17Jz17tuTbbx07h780rF+/iv79IwtN701Lu0pKymWSk5P49dfthQz/rFn/pkePcGJjf7J6vaysLNLT01i69G1iY7exadPaQkYgOzu7xK5Et0BErqutc+fOUhaio6MlICBAgFJvBoPB6jkGg0Gio6NLvH5AQICMGzdOGjRoUKb7Wm6enp4SHR0t0dHREhYWJkopadKkiaxYsaJM398aLVq0EECOHj1qM3+KftewsDCrOsPCwuzmg+U1oqOjxWAwWL2OUir/vuXNM0s9jqQsmjw8PKRv375y+fJlSUtLk507d8rx48eladOm8tJLLzlcmzXy8vJk8+bNMnbsWMnKyjLtEzEaRb7/fof06zdAYmPPSUhIqAQF1ZS5c2PkwIGrkpCQJwkJeXL48DV57bX3ZfDgUZKYKDJjxgcybdrbsnt3kuzdmyyDBj0i77yzUtq2jRRAvL29BZA5cz6RxEQptCUk5EmXLv8QQJ5++hVJTBS5995/CSD//e+Hkpgosm/fZXn22Vdl377L8uGH62Tx4i+LXeebb/bLpk0H8z8fPZpdLE1iosiJE7ly4kSuTJ8+TyZNmlHs+NChYwSQF198K3/frl2n5Y8/Lspddw0QQBYv/iL/2NNPvyIeHh4yZcosSUwU2b8/ReLjs2TatLdl5MgnZenS9eLh4SGhofXk/ffXSEJCXv657dt3EqWU7Nz5p1WtltvOnX/KsmVfS1xcpiQmimzefEi+/z6+UJpz5yr2uwB+FxvlqssL9rJuZTUEtgowe5tSymahpZSScePGlXh9c8Fm3sx/lrJs3t7e4uPjU2ifj49PMWNUVrp37y716tWTI0eO2C2czQV5dHS03byylw+WhqI8eVCe5+Zoij5LW5uvr6/4+flJt27dJC8vr9A1in4uDxcuXJAZM2bIlClTSkzboUMHAWTdunXy559/yogRI2Tbtm3Ss2dPAeS9996X9u0Up7wYAAAVyUlEQVRvLKQ/NLSefPddXLFCqnnzVgLIzJmLJCpqrAAybNh4GThwhDRs2FTeeGOJNGzYVD76aINs3nxIbr65h8yY8YHMnRsjP/2UIHFxGbJmzQ45cSI33zgsWfKVLFq0Vh58cKTcffcgUyWgjgDSqtWNxTTcdltfAWTu3Bj5/PNd0rhxuHz55a+F0vz663kxGOpIx45dRSklnp6exQrTAweuysqVW2T79pPF7jF9+lwxGOrInDmfyNq1v8hzz70umzYdlI0b90liosiUKbMkMLCGjB8/VYKCgmXcuCny+usLxcvLS0aPfrbY9SIjbxEPDw9Zu/YXOXz4msycuVh+/PG4PPLIUzJx4kuF0r7wwn8FkMGDR8mxYzlSv34jAWTBglWya9dpmTp1jqxcuaFCv59qbQhK+ye2VniVx4hUxuaoWm9pWku2WkdFtdjL58rMS2dgz9gbDAZRSklYWJhER0dLUlKSxMXFOUXHmTNnBDQDnZmZKSIimzZtku+//16MRmOhtPPnz5dJkyZJamqq3HzzzdK4cWM5deqU7N69WwYPHiyXL1+WS5cuya5du6RHjx7538lcS7fcpk6dI2++uVQSE0X27LkknTp1l23bTuTXwM2tiMREkT597hdAxo2bYjKOfnLkSLrVWrC5cH/ooUflxhs7y/r1u6Vr19tk0qQZsmzZ1zJ48GiJjT0nx48bZfjwCRISEip//HFRhg0bJ4AMGDBMEhNFPv98lzz00KMyffpcAaRnz/7y4otvyeLFX0pCQp7ExWXIli2HS6yVHzmSnq912rS3xdvbu1CBPXPmYgEkJCRU/Pz8Zdiw8ZKYKBIXlyF79yYXu97u3Umybt3vsmfPJYmMvEUAGTPm+XyjazaMiYkis2d/LG3bRsqiRWvzDUNISKgcOHA1/769evWv0O/HniGo8oPFtgZslVJY++7mQcmoqCibA6muxnIgtyKUZjDbHpZ5Ze9aBoPB6mwtR+Os1dr2Bq8re4rtq6++ilKKnTt38sILLzB+/HiOHj3Khg0b6N+/f346Ecn/jb/zzjvMnj2bw4cP2xz/OnDgAElJnnz88XuEh7dk+PAJ5VrPkJaWyttvv8SQIY+zYMEMvLy8mDvX+ljRpk1fkJh4jHvueYjGjcML9a2fOXOSvn3bU7duQzZvPoS3tzdZWVn4+vqSnZ1NdPQHDB8+gYSEeAYNupVeve7jnXdWkJAQT1ZWZv7K7AsXzvGvf93GqVMnWLDgs1JPqc3LyyMysjZr1/6SP9U1Pf0ap08n0qpVey5e/BuA0FDbvrtFhP79I0lIiOehhx7l5MljvPbaB2zcuIbu3Xty003d8PDw4MiR/fj5+dOsWcv85wbke6O9ePFvXn31KR54YAijRg2web+SsDdYXOUNga0/sXmmzqlTp/D09CQ3Nzd/1pD5z13RgtJZGAwGLl68WK5zzXPvHfG9xo0blz/bKSQkpFIKe1s4u2B25pqFsjJu3DgWLVrE2LFjOXbsGJcuXeLnn3/Gz8/P5jmZmZl2jwPs2nWQ//u/G/Hx8TUFzAlztPRSc/VqCsOH9+bxx5+3W3inpaXy2GP/pHZtA++/v6aYV1YR4ZZbGtKsWQR33z2IEyfiGDLksVK58Pj55610797T7vHo6IUMHjzK6lTUtLRUJkx4iEOH9rBz5yk++2wZLVu2pXv3nsTG/sT8+a8SGlqPdes+pW/fB1i0yP7guTNnDVV5QwDl/xPHxMTYnEpaHnx8fApF/qrIdT766KMyF0TWjKI9AgIC8Pf3t1nA22pVVQaBgYH4+fmRnJzs8oK5sklKSuKjjz7i/vvvp1WrVg6bqmg0CitWbOTMmZNuMf89Ly+vVO62zTNzbHltvXjxb2rWrMWIEXcRG7uNJUu+ok+fisfAmjr1CT79dAndut3Bp59utZnu2rU0AgNrFNr35JND+Prrzxg6dAwbNqxm4MARvPzyu3a/r24ILKhsp3Pjx49n0aJFJRZ45laFLQwGA/PmzXNYbbw83SClaeGYC3dz6wgok/GoTFzVPVOVSUmBy5ddrcI57N69i9jYbQwdOobatSvuNysl5TIvvzyeBx8cWebFaVevXmH16o+4776h1KhRk4CAwBLP0Q2BBa7wPmrNNYUlAQEBdgvKogWWvXELb2/vUrUayjNOUJoxj+jo6GIFqyO7k8wopVi5cmV+S628v0N39OJ6vZOaCsnJcJ0VDVUefUGZi4mKiuLixYtER0fnO17zNK0AMscrsOWQzdPTs1it1Vbwm5UrV/LRRx+VystneSKmlXROWFiY1dp1VFQUJ0+edOhqyaZNm+ZfNy8vr9wO7VzlxbUqExQE9esX+NjXqfrohqAMmAsuEcFoNCIinDx5kqioKJuF+yeffFKscLUX/Maa0SlaANuKmFYS9vznlOaaZTE+gYGBNg2HtXuV17ePq0OIVlV8fTXf9/Xra36PfH2d6wZZx8XYmlfqiA3oB8QDx4EpVo77Ap+ZjscC4SVds6zrCCoTy1XA5nnl7nZd87VAW72MaS1Aaa5Z2lXalgvRynIvy+9pMBiKLaazdR+dyiMvTyQnRyQrSyQzU9syMrQtPV0kLa1gS00teH/tmvUtPV071/I65mvZOsfWZr7n1avalppa8DklReTKFZHLlwu25OSC10uXCraLF4u/N6cxn2PerlwpuG5ycsHxK1e0e6akFOgpqsucP0XzwvzdLfMyLU3bXxFwxYIywBM4ATQHfIB9QNsiacYDi0zvhwCflXRddzYE1QF7K67LYlRKey9LAzhu3DinGFodneqAPUPgtMFipVR34D8i0tf0+d8AIvJfizSbTGl+Vkp5AeeBOmJHlLuEqqzuuNO8eh0dnZJxVajKRsBpi89ngFtspRERo1IqBTAAhVZLKaXGAGNA7xN2F8zjGTo6Otc/18VgsYgsEZEuItKlTp06rpajo6OjU6VwpiE4CzSx+NzYtM9qGlPXUDDgOj8FOjo6OtUQZxqC34CWSqlmSikftMHgdUXSrANGmt4PAn6wNz6go6Ojo+N4nDZGYOrznwhsQptB9JGIHFJKvYY2er0OWAasVEodB5LRjIWOjo6OTiVy3bmYUEolAZXpEjSUIoPXboK76gL31abrKhvuqgvcV5s76woUEauDrNedIahslFK/25py5UrcVRe4rzZdV9lwV13gvtquV13XxawhHR0dHR3noRsCHR0dnWqObghKZomrBdjAXXWB+2rTdZUNd9UF7qvtutSljxHo6OjoVHP0FoGOjo5ONafaGwKlVD1Xa7CFUqq2qzVYQylV8Th/TkDPr7KjlHJLny3u+r+sqvlVbQ2BUqqGUmou8I1SarFSaqCrNZlRSgUopd4HvlVKPamUusm036XPy5Rn7wIblFKvK6V6ulKPGT2/yo5Syk8ptRDYqpR6TSl1p2m/O+SZ2/0vq3p+VUtDoJRqBKwEFNAf2AbMcqmowkxC88I6EvADFgOISNmCFDsQpVRL4AsgFxgFJAFTXaWnCHp+lZ1RQF3gdiAR+Egp5efiPHPn/2WVzq9qaQiATGCpiDwtIueB1cBepVQHVwlSSvmZXr3QAvn8PxGJE5HZQJKpZunKGsg1YImITBaRw8BG4C+lVGNXiNHzq+wopWpYfgR+FpFLIvIx8DPwhimd44JTlw23+l9Wp/yqFoZAKdVKKbVIKeUPICKXgB8tkjRBi6QW7wJtEUqpGGCBUqqLiBiBGkB3i2RjgeFKqcaVVQMx5Vl+7UJEzgHfWCQJAFqLyJnK0GOhS8+vsmtroZRaDSxXSt2jlPI1Haprkex54AGl1A0iIpVRuLnr/7I65leVNwRKqX+gNZ/GoHUhoJRSInLNIpkPcFJEsipZmz9aN8Y+YD8wQSk1GngLGKuUCgUQkdNANPB4Jem6B1gLTFZKTTHt8xKRNItkIVT+H1TPr7Jr8wDmAgfR/gf/BKYDK4D+Sqn2ACYD9RWm7itnewF21/9ldc2vKm8I0OIbjAIigEeVUmFWHtpNaPGVUUo9XolN0RuAayIyS0QWAEuBBwB/YCGFF4EcRYvyVhlN0QtAFFqevaiUqmHyJuthce+2wCGTnoeVUhFO1gR6fpWHBsAVYKaIfAXMAPoALdGM6jRVMOPkWyrPoaO7/i+rZX5VeUMgIkeA4yJyHNgCvAbF+o57AQal1OfAw2h9b5Wh7SAQrpS6zbRrP/A98AIwDQhRSr2ilBoMPAZkmM5zau1DRH4H4kx59i2wyHRIWdz7H0AdpdQXaIVgjjM1mXTp+VUKLA2fiJwFuqAVZubPC4E3TMb0GvCqUuoxtJZVciXpcpv/peU93Sy/LHU5N7/ERlT7621Da3rXtPisir4HgoDjQK8i536DVlsb5CRtoUA9Sz2Ah+n9k0C0xbFItDgNoWjWfwSwGYiqDF1W8qwmWg3pZotjvmiF8G5gsBN0NQBuLbLPHfKrmC53yC8LbaOL7PM0vT4C7LDYXwttYDESqI3W/bHKiXk22sYxl/0v0eKlzwF83Cy/iumqjPxy+A/SFRvwMnDE9HD+Y9rnUSSN+SE/A3xtej8UrVC+w4naXgLigP8Bb1pqMb1vAXwOjDR9NqAF86nv5DyzpstWnr0MbDW972d6HeBEbYfQatadTJ8tDZRL8qskXS7Or5fRjMwkG8c9gB+AZyz2rQDaOzm/7OoqkmeV9r9Em0xwEHgPbaJB0d+9q/LLri5n5pfTvlRlbEAgMBv4DKiHViNMAcJNx4vVcE3vL5vSLQP8nKTND3gTrSZRx6QvHQgx/9gs0t6F1rfXCRgMbAWaukJXkbSWeWYEUoF5gLeTtHmY/gDfoDW7n0ULpuGy/CqFLlu/Mafnl+k+c0z3KXaPIno6o81/HwAMQyug27pClx2NTv1fUtCqXGCrUKeg1l1p+VUaXc7OL6f8CJy9AbVMr17AHYCXxbEPgVE2zgtGMxz7gf9zpjbT+wYW7+8APgXa2fjhjQPmm35wDtdWVl0Wx0NNebrH2bos9r0HTDYVore5Or9Ko6uy8svKs2wD/ILWXRCBNqDYrUh6c0FzP/Aq8BPwD1frskjr1P9lEV0ewAG0ClA7030fwaIiREGtuzLzq0Rdzswvh/9InbmhdQO8h9YH/BTQwuKYQps+tRWItHG+B9ChkrS1Nu33QqvBngTeBn5Fa8qZf2yWNV1Pd9Flcb6Xk/6clrqeBNqY9rcAlpveT0KrgT8DNDY/50rMr1LrcnZ+2XiWZm3/QRt83gW8gjaTZYTFb0w5Q09FdVmc75T/pZVneaNp/xvAu6b9T6At9nvD4r9RrEvGHXQ5M7+um1lDSqluaE3zi8DraIMqT1kk8UD70WUDZ61dQ0TyRGR/JWkbb7qnEfgDaC4iz6HVMCaZ9CIWC55EJNdddFloMorITiframyh6zhwVSnlCbQCngZuEdNCLDH9E0zvnZ1fpdZlocnh+WVDWyO0VhFoLZTXgN4i8iow0azbpElwEhXRZaHP4f9LG89ytOmwuVtxjYgsBl4E6mNaMCZOXIRYEV1mnJFfXo68mJO5ArwjIqsg39NkL9OqvxwRyVVKNTe9T1Ka8yUfc3oXafMDskQkP5i1iGxQSk1G+8Oc1HUV0uWNNt/+RrRm7wm0vmZRSrUUkWPVVJctbb1NzzJFRGaYE4rIeqXUJLRCxtnz3K8nXX1Mx7ahrUTvZNJ1wLQYsTJWobulLrc0BKYVc4VqMSISp5Q6bXEsB61ryHIVXS/AXym1Aq3W9qKLtWVanqOUaoNWCzgFnNN1FdOVA+xTSu0AtovIZqVUM2AIDp5D7q66yqjtBvOztDi3LdqzPInrnqW76mpuOnZcKfUeMEVpPqmao7WEE6uDLmu4XdeQUsrbMvOKLEK5ZnEsHK12Zkko0B5tDvAtIvKjm2jzVUoNR5vd9IOIPCIi2bou67pE5GUR2Wx6nygi/xXNbUSV1lURbUopL6XUA2hTqL8XkUdNBkzXZUWXiOxF66baAawTkXtFWzxWpXXZwq0MgVJqIvCd0vx9/xO0/k1lsXrO4n1zINa0b6BSKhjN7W+4iDg8bmhFtKE5HNuE1qf8vq7Lvi6lVH1HarkedFVUG9pMkm1AV3d6lu6qSynVUESSReRzEVlWHXTZwy0MgVIqRGndOX2Bf6MNpIw0Nb/zB2+UUh2kYCCnLRChlPoGeAhtPCBORDLcUJuniPztSG1VWNeDOKFP1F11OUjbILSZLslSpEtG12XzWRodpcfddZUKceI0qdJugCeaVz3zHPHmwHJMc9vRRs5XANuBhkBT4CqaC1anrdh0Z226rqqhy5216bqqhq5SaXfJTbVB6slAE4t9NSzee6AtRmlp+twHGF/kGo9WJ226rqqhy5216bqqhq5yfZdKv6E2Be8PNNe9n9pI0wbYaONYMWdMVV2brqtq6HJnbbquqqGrvJsrxgguorkGaI3mUvguAKWUp8XIegO0GK8opW5RpqDfSiklDpzVch1p03VVDV3urE3XVTV0lYtKNwQi8hfwmYhcRus/M0f4yQXMGdgR8FFKzUZbcm0+V3Ai7qpN11U1dLmzNl1X1dBVXlwya0gKZqmsADKVUk+Z9ueZrOltwJ1AsojcKiJbq7s2XVfV0OXO2nRdVUNXuXB13xTaVKtY0/sOptf7sBiA0bXpuqqiLnfWpuuqGrpKrd/VAkwZ9i2QheZtL9TVeq4HbbquqqHLnbXpuqqGrlJpd3HGeVDg4+ZxV2fG9aBN11U1dLmzNl1X1dBVls288MFlKKXuRvNzk1Vi4krGXbXpusqGu+oC99Wm6yob7qqrtLjcEOjo6OjouBa38DWko6Ojo+M6dEOgo6OjU83RDYGOjo5ONUc3BDo6OjrVHN0Q6Ojo6FRzdEOgo1MCSqlcpdRepdQhpdQ+pdRzyiLalI1zwpVSD1eWRh2diqAbAh2dkskQkUgRaYfmU/5u4JUSzgkHdEOgc12gryPQ0SkBpVSaiNSw+Nwc+A0IBcKAlUCg6fBEEdmllPoFzR99IvAJmsviN4E7AF/gfRFZXGlfQkfHDroh0NEpgaKGwLTvCtAKSAXyRCRTKdUSLUhJF6XUHcBkEbnXlH4MUFdEXldK+QI7gYdEJLFSv4yOjhW8XC1AR+c6xxt4TykVCeQCETbS3QV0UEoNMn0OBlqitRh0dFyKbgh0dMqIqWsoF/gbbazgAloQEg8g09ZpwJMisqlSROrolAF9sFhHpwwopeoAi4D3ROtXDQb+EpE8YDjgaUqaCgRZnLoJGKeU8jZdJ0IpFYiOjhugtwh0dErGXym1F60byIg2OPyO6dgHwOdKqRFo/uivmfbvB3KVUvvQQhnOQ5tJ9IcpelUSMKCyvoCOjj30wWIdHR2dao7eNaSjo6NTzdENgY6Ojk41RzcEOjo6OtUc3RDo6OjoVHN0Q6Cjo6NTzdENgY6Ojk41RzcEOjo6OtUc3RDo6OjoVHP+P7XvUYcH4+thAAAAAElFTkSuQmCC\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4ad62bbdd6fa45f98c6dcac83064c108",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 2.6971635818481445, 'log': {'agg_test_loss': 2.718724012374878, 'agg_test_loss_p': 2.6971635818481445, 'agg_test_loss_kl': 0.02156059257686138, 'agg_test_loss_mse': 0.056557975709438324, 'agg_test_loss_p_weighted': 0.48895958065986633, 'agg_test_score': 2.6971635818481445}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>2.821728</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>0.014804</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.049933</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.539386</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss               3.264200e-01             0.583979   \n",
       "agg_test_loss_p             3.264199e-01             0.530546   \n",
       "agg_test_loss_kl            1.415805e-07             0.053432   \n",
       "agg_test_loss_mse           5.554044e-02             0.050668   \n",
       "agg_test_loss_p_weighted    6.167767e-02             0.099437   \n",
       "agg_test_score              3.264199e-01             0.530546   \n",
       "n                           1.000000e+00             1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                               0.600801   \n",
       "agg_test_loss_p                             0.600801   \n",
       "agg_test_loss_kl                                 NaN   \n",
       "agg_test_loss_mse                           0.044556   \n",
       "agg_test_loss_p_weighted                    0.113829   \n",
       "agg_test_score                              0.600801   \n",
       "n                                           1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                                    0.603395      0.908300   \n",
       "agg_test_loss_p                                  0.603395      0.899200   \n",
       "agg_test_loss_kl                                      NaN      0.009100   \n",
       "agg_test_loss_mse                                0.047060      0.052031   \n",
       "agg_test_loss_p_weighted                         0.114300      0.172292   \n",
       "agg_test_score                                   0.603395      0.899200   \n",
       "n                                                1.000000      1.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                   1.405925    1.456276   \n",
       "agg_test_loss_p                 1.398106    1.448933   \n",
       "agg_test_loss_kl                0.007818    0.007343   \n",
       "agg_test_loss_mse               0.050875    0.050474   \n",
       "agg_test_loss_p_weighted        0.257106    0.277617   \n",
       "agg_test_score                  1.398106    1.448933   \n",
       "n                               1.000000    1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                             1.629111   \n",
       "agg_test_loss_p                           1.629111   \n",
       "agg_test_loss_kl                               NaN   \n",
       "agg_test_loss_mse                         0.051648   \n",
       "agg_test_loss_p_weighted                  0.275075   \n",
       "agg_test_score                            1.629111   \n",
       "n                                         1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               2.607442             2.559804   \n",
       "agg_test_loss_p                             2.493560             2.559563   \n",
       "agg_test_loss_kl                            0.113882             0.000241   \n",
       "agg_test_loss_mse                           0.058096             0.051622   \n",
       "agg_test_loss_p_weighted                    0.467946             0.454760   \n",
       "agg_test_score                              2.493560             2.559563   \n",
       "n                                           1.000000             1.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss             2.718724         2.821728             4.716095  \n",
       "agg_test_loss_p           2.697164         2.806924             4.716095  \n",
       "agg_test_loss_kl          0.021561         0.014804                  NaN  \n",
       "agg_test_loss_mse         0.056558         0.049933             0.050778  \n",
       "agg_test_loss_p_weighted  0.488960         0.539386             0.811491  \n",
       "agg_test_score            2.697164         2.806924             4.716095  \n",
       "n                         1.000000         1.000000             1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'PL_Transformer', 'PL_MODEL_CLS': <class 'neural_processes.models.transformer.PL_Transformer'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=PL_Transformer, trial=<optuna.trial.FixedTrial object at 0x7f8d712a27f0> params={'learning_rate': 0.003, 'attention_dropout': 0.4, 'hidden_size_power': 7.0, 'hidden_out_size_power': 7.0, 'nhead_power': 1.0, 'nlayers': 2} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'vis_i': '670', 'x_dim': 17, 'y_dim': 1, 'context_in_target': False, 'patience': 2, 'min_std': 0.005, 'nan_value': -99.9, 'num_context': 336, 'num_extra_target': 96, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/PL_Transformer/version_-1000/_ckpt_epoch_1.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dfcbd98c77d7411196e0c6f78d17cf07",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.5545756816864014, 'log': {'agg_test_loss': 0.5545756816864014, 'agg_test_loss_p': 0.5545756816864014, 'agg_test_loss_mse': 0.07866694778203964, 'agg_test_loss_p_weighted': 0.10357975214719772, 'agg_test_score': 0.5545756816864014}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>2.821728</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>0.014804</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.049933</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.539386</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss               3.264200e-01             0.583979   \n",
       "agg_test_loss_p             3.264199e-01             0.530546   \n",
       "agg_test_loss_kl            1.415805e-07             0.053432   \n",
       "agg_test_loss_mse           5.554044e-02             0.050668   \n",
       "agg_test_loss_p_weighted    6.167767e-02             0.099437   \n",
       "agg_test_score              3.264199e-01             0.530546   \n",
       "n                           1.000000e+00             1.000000   \n",
       "\n",
       "                          PL_Transformer_mean  TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                        0.554576                    0.600801   \n",
       "agg_test_loss_p                      0.554576                    0.600801   \n",
       "agg_test_loss_kl                          NaN                         NaN   \n",
       "agg_test_loss_mse                    0.078667                    0.044556   \n",
       "agg_test_loss_p_weighted             0.103580                    0.113829   \n",
       "agg_test_score                       0.554576                    0.600801   \n",
       "n                                    1.000000                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                                    0.603395      0.908300   \n",
       "agg_test_loss_p                                  0.603395      0.899200   \n",
       "agg_test_loss_kl                                      NaN      0.009100   \n",
       "agg_test_loss_mse                                0.047060      0.052031   \n",
       "agg_test_loss_p_weighted                         0.114300      0.172292   \n",
       "agg_test_score                                   0.603395      0.899200   \n",
       "n                                                1.000000      1.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                   1.405925    1.456276   \n",
       "agg_test_loss_p                 1.398106    1.448933   \n",
       "agg_test_loss_kl                0.007818    0.007343   \n",
       "agg_test_loss_mse               0.050875    0.050474   \n",
       "agg_test_loss_p_weighted        0.257106    0.277617   \n",
       "agg_test_score                  1.398106    1.448933   \n",
       "n                               1.000000    1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                             1.629111   \n",
       "agg_test_loss_p                           1.629111   \n",
       "agg_test_loss_kl                               NaN   \n",
       "agg_test_loss_mse                         0.051648   \n",
       "agg_test_loss_p_weighted                  0.275075   \n",
       "agg_test_score                            1.629111   \n",
       "n                                         1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               2.607442             2.559804   \n",
       "agg_test_loss_p                             2.493560             2.559563   \n",
       "agg_test_loss_kl                            0.113882             0.000241   \n",
       "agg_test_loss_mse                           0.058096             0.051622   \n",
       "agg_test_loss_p_weighted                    0.467946             0.454760   \n",
       "agg_test_score                              2.493560             2.559563   \n",
       "n                                           1.000000             1.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss             2.718724         2.821728             4.716095  \n",
       "agg_test_loss_p           2.697164         2.806924             4.716095  \n",
       "agg_test_loss_kl          0.021561         0.014804                  NaN  \n",
       "agg_test_loss_mse         0.056558         0.049933             0.050778  \n",
       "agg_test_loss_p_weighted  0.488960         0.539386             0.811491  \n",
       "agg_test_score            2.697164         2.806924             4.716095  \n",
       "n                         1.000000         1.000000             1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 {'name': 'LSTM_PL_STD', 'PL_MODEL_CLS': <class 'neural_processes.models.lstm_std.LSTM_PL_STD'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1000 name=LSTM_PL_STD, trial=<optuna.trial.FixedTrial object at 0x7f8dec5ba0f0> params={'learning_rate': 0.001, 'lstm_dropout': 0.39, 'hidden_size_power': 5, 'lstm_layers': 4, 'bidirectional': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'vis_i': '670', 'x_dim': 17, 'y_dim': 1, 'context_in_target': False, 'patience': 2, 'min_std': 0.005, 'nan_value': -99.9, 'num_context': 336, 'num_extra_target': 96, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/LSTM_PL_STD/version_-1000/_ckpt_epoch_7.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a6ebc46302c7407891cc1930fa95a69c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 1.0427969694137573, 'log': {'agg_test_loss': 1.0427969694137573, 'agg_test_loss_p_weighted': 0.19133539497852325, 'agg_test_loss_p': 1.0427969694137573, 'agg_test_loss_mse': 0.06579779088497162, 'agg_test_score': 1.0427969694137573}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.908300</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>2.821728</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.009100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>0.014804</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.052031</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.049933</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.172292</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.539386</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.899200</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss               3.264200e-01             0.583979   \n",
       "agg_test_loss_p             3.264199e-01             0.530546   \n",
       "agg_test_loss_kl            1.415805e-07             0.053432   \n",
       "agg_test_loss_mse           5.554044e-02             0.050668   \n",
       "agg_test_loss_p_weighted    6.167767e-02             0.099437   \n",
       "agg_test_score              3.264199e-01             0.530546   \n",
       "n                           1.000000e+00             1.000000   \n",
       "\n",
       "                          PL_Transformer_mean  TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                        0.554576                    0.600801   \n",
       "agg_test_loss_p                      0.554576                    0.600801   \n",
       "agg_test_loss_kl                          NaN                         NaN   \n",
       "agg_test_loss_mse                    0.078667                    0.044556   \n",
       "agg_test_loss_p_weighted             0.103580                    0.113829   \n",
       "agg_test_score                       0.554576                    0.600801   \n",
       "n                                    1.000000                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                                    0.603395      0.908300   \n",
       "agg_test_loss_p                                  0.603395      0.899200   \n",
       "agg_test_loss_kl                                      NaN      0.009100   \n",
       "agg_test_loss_mse                                0.047060      0.052031   \n",
       "agg_test_loss_p_weighted                         0.114300      0.172292   \n",
       "agg_test_score                                   0.603395      0.899200   \n",
       "n                                                1.000000      1.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                     1.042797        1.405925    1.456276   \n",
       "agg_test_loss_p                   1.042797        1.398106    1.448933   \n",
       "agg_test_loss_kl                       NaN        0.007818    0.007343   \n",
       "agg_test_loss_mse                 0.065798        0.050875    0.050474   \n",
       "agg_test_loss_p_weighted          0.191335        0.257106    0.277617   \n",
       "agg_test_score                    1.042797        1.398106    1.448933   \n",
       "n                                 1.000000        1.000000    1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                             1.629111   \n",
       "agg_test_loss_p                           1.629111   \n",
       "agg_test_loss_kl                               NaN   \n",
       "agg_test_loss_mse                         0.051648   \n",
       "agg_test_loss_p_weighted                  0.275075   \n",
       "agg_test_score                            1.629111   \n",
       "n                                         1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               2.607442             2.559804   \n",
       "agg_test_loss_p                             2.493560             2.559563   \n",
       "agg_test_loss_kl                            0.113882             0.000241   \n",
       "agg_test_loss_mse                           0.058096             0.051622   \n",
       "agg_test_loss_p_weighted                    0.467946             0.454760   \n",
       "agg_test_score                              2.493560             2.559563   \n",
       "n                                           1.000000             1.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss             2.718724         2.821728             4.716095  \n",
       "agg_test_loss_p           2.697164         2.806924             4.716095  \n",
       "agg_test_loss_kl          0.021561         0.014804                  NaN  \n",
       "agg_test_loss_mse         0.056558         0.049933             0.050778  \n",
       "agg_test_loss_p_weighted  0.488960         0.539386             0.811491  \n",
       "agg_test_score            2.697164         2.806924             4.716095  \n",
       "n                         1.000000         1.000000             1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'anp-rnn', 'params': {'det_enc_cross_attn_type': 'multihead', 'det_enc_self_attn_type': 'multihead', 'latent_enc_self_attn_type': 'multihead', 'use_deterministic_path': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=anp-rnn, trial=<optuna.trial.FixedTrial object at 0x7f8dec47bb00> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn/version_-1100/_ckpt_epoch_5.ckpt\n"
     ]
    },
    {
     "data": {
      "image/png": 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NZ20rAl1VMnPlyon8OsWRm3subquCQuEsVlEpSujs4vppDc6ePc6VK+eJioqgYkUfANq0eZEqVWpSsqThoPZt2zZw4sQRQBdBVN2ssa0JnSIwNyNqTlYFyclgb597RWCJimiFhWJ0qyoq1kFiojKh2eitx+fMWY5Go6FSpcpcvHiGESN6UK9eE1as2Gq0n9q1G2Jra0ubNp2pXLmGWWNLaV1mj5QU5WOuPDlRBBqNoghyY1JSVwQqKip5SkqKkgnT2TmFli39KVmyNL//fj4tnURc3BNCQ0OoWLGSyX5eeeV1Xnnl9RyPn5pqPTUJUlNzVo/Y3Ld7KdNTRqimoexRFYGKSj6TkqKkM4iKUiZ8F5eSGXIKNWjQjKNHbyOlJCYmGjs7OxwdnSw2vrUpAl1BeXPISTvdvgNVEWSPmn1URSWf0U0yDg6lOHIkmG3bjnP06P9YsWI+Fy+ewd7eHi+vSixZ8ikNGrjyyy+rDfbz+PFDrlw5z+HDewkOvmH2+NYUOZSamq4MzG1vDvppq1VFkD2qIlBRyWd0b6o2NjZ4e/tStWotdu36mblzp/Dff3+ltXNxKYWLS0mjO4t7925Oly71GTLkRXbt+tns8a3JYayTRbefIDvUFUHeoCoClQInMDAQf39/bGxs8Pf3JzAwsKBFylMMTTKtWnXijTcmUrNmfc6cOc7//d9Yatasx/nzMQwePNZgP3Z29gDUrds4W3+CPtaoCMxNH5GTFYFGk+4cz61cxQXVR6BSoAQGBjJq1Cji4uIACA4OZtSoUQAEBAQUpGh5hk4RXL16gXXrllCnTiMGDhxJt259Afj117WsX7+UmJhoXnlliNF+/ve/y4CyEzkndQv0i8QXdPRQTifcnKwIdI7o3KBvVrIpBq/LxeAWVayZGTNmpCkBHXFxccyYMaOAJMp7dJPMrVtXWb9+Cf/7344M5xs1as7HH39Lnz7mRQTltHiNbudsgnkJS/OM3Lyt59SpnNuqYykp8OQJPHyYu+sLG+qKQKVAuX37do6OF3ZSUtInqVq1GvDhh4vw8vIlLi6WBw/u4eDgSNWqtahatRaHDv3OgAHtaNWqE2+//YHJfnOyKkhNVWzyBW0Hz435JSemIVCis3JDaqqiBOztc3d9YUNdEViQ4mbrfhp0z8qYI9TX1zefJcof9CdfP7+qDB36Np0792Lv3q106FCDefOmpZ2PinrMv/8e4tq1C1n6uX79Er16NadZM09q1nRk3Lj+ZssgpZJ3v6Cjh3KjCHK6IsitItBR0Moyv1AVgYXQ2bqDg4ORUqbZujMrA1VZZHxWhnB2dmbOnDn5LFX+YGxicXMrj79/NcqWdefmzav88cduvL392LjxIO+883GW9g8fPuDs2eM8fPiApKREEhLiDPRqmNRURREUtEM0L1cEunaWUAQFrTDzA2Hsjcxaadq0qTxxwvry0/n7+xuc2Pz8/AgKCgKyOkZBmfRWrFhRZB2jhjD2rAC8vb35/PPPi+zziIlRyiGC4iwODQ2hevU6eHmlR/0sXPghixZ9wvjxM3n33axKAODJkxiuXbuIEIJaterj4OBotmnI0VHxD5Qpo3wKirg4CAvL2TUlS0L58tm3s6R939sb7Ows01dBIoQ4KaVsauicuiIwQk7f3M2xdRdHx6ghTNn/N27cWGSVAGRcEWzYsJyhQ7uwe/cvGdr4+lalbdsXTeYPKlmyFI0bP0ujRs1xdHTKkcNY5yQu6HfA/PARWILiYB5SncUGyE1Io6+vr8G3XH1bd3FzjBrD2LOyt7enSpUqBq4oOij59zVERUVQuXINWrXqiK9v1QxtdDmEIiIe8d13C3BxKclrr71pcVkKoyKwdCoKcygOxezVFYEBcvPmPmfOHJydnTMcy2zrNuYALaqOUWPMmTMHJ6eMuXNsbW2ZOXMm3t7eBSRV3pKcrHyio59QvbodrVv7MWTIW6xfv58XXuhJWFgonTrV5uWXn0u7JjLyMZ9+OpkVK77I0t/hw3tZvPhTDhzYybhx/Zk69Y0cy1QYfQSqIsgbVEVggNy8uQcEBLBixQpKl1Zyx1esWDGL7d8cZVEcCAgI4P/+7/8oW7YsQgj8/PxYvXp1kTaRxcXB3btw86ZSeCYhIZ6EhPi087a2dty4cZmgoGtpkVRly5bnjTfeZcCAkVn6O3hwJ/Pnz+DYscPs2vUzBw7szLFMhXFF8DSmoeTkZGJionM8pmoaKqaYY+YxREBAAIGBgezevZtly5bRs2fPLOcBhg8fTlJSEh4eHixYsKBI28SNUaJECR4/fsyUKVOYN28ed+/eZdeuXXh6evLMM88UtHgWR/dW+fCh4h1t1qxNWooIAFdXN/btu4izc0nefXcwv/22ifnz1/DBB18a7K9Nm844OTnTtu2L1Kv3jNnF6/UpjIogtyuCu3dv07q1H15elTh6NGem2OKwIlAVgQHmzJnDyJEjiY9Pf2Mz5819woQJ7N69m7fffpvWrVsbbBMQEEDHjh2JiYnBx8cni4mkuFC/fn169epFiRIl2Lp1K0eOHGHBggUMHz6cVatWFbR4Fkf3Vlm9eh2WLduMq6sb3bs34tata2zffoKaNetRrVptAJKTk0hJScHWRJL+Dh2606FD96eSqTCahnK7InB2dsHGxgYhcm4EUVcExRTdG/qQIUNISUkxO6RRt4po3749ZcsaLzbu6emJp6en5QQuhHTt2pV169bx2WefpR3r3LkzdevWLUCp8g7dW2XZsuV58cWXAYiPjyMpKREnp4zmwm+//RGNJhAhBEFB14mLi6VKlXo4OipFBCyVI6igVgQ6+fNzRSClZOfO01SoUDHHY6orgmJMQEAAzz//PDY2NlSoUMHk25mOH374gfDw8Gwn+cDAQN5++20GDBjAkiVLLCVyoaNOnTp4eXlx7949Wrduze+//17QIuUZ+m+Vq1YtZOfOn3j//fm0bfsiDg6OACxZMpfQ0BDeffdjypZVguV79mxKTEwUO3ZEUKVKGZyd4cYNOHPmIra2KXh4VOX48d/QaCIYM+b1HBWwKShFEBOjpLjIzQSbW0Wwd+9Wpk8fSf/+w/n885ytOHU1E4py8jlVERhBo9FQpkwZnJycKGFmOSc3Nzc0Gg3r1q3Dzs4uLeQ0M1OnTiUiIoKQkBBLilyoePToESNHjmTKlCk4ODgUtDh5in6RlNu3b/L11x8RExNNcPCNDKuBzZvXcuPGZYYMeStNEVSvXofY2Cc8eZLMrVvg4aFslFqyZAg3b55g1qx/+f77d4iMDKVNm8Y4Odnh49MYV63LIDnZ+GaoglwRxMbm/lpzVkSZ783JyZnq1evg7e2Xq3F19Y+LKkVYxz0dJ0+epFSpUrRo0SJH1z169Ii33nqLefPmGW0THh4OwHffffdUMhZmJkyYgKenJz/99FPaMSklsbmdIawY/Tff06f/JSYmmooVfbJkFx09eiofffQNy5fPY/ToPty8eZVff/2LPXvO4uDgTkwMXL+utPXwqIqPT12cnV1p2XIAHTqMpF+/Z+nR4xlOnLiXlnUzMtL4m3dB+QiedlxzFFjmNr16vUb9+k358899hIWF5njMOPMzeBRK1BWBEZK1f0nHjx/n5s2b2W50klIycuRI7O3tGTFiBNWrVzfadtGiRcTGxpr0IxR1SpYsibu7O6VLl0ZKiUajoVSpUmg0GpKTk3OcWtma0TcLVapUmX79hlGlSk0mTx6Ch4dXmqmib9+hALz0UhPOn/+PsWPfB5RJLXMFr/HjN6X9e/BgJbLowAHlxSImJo7oaChXDqKiwNnZcHH4glwRPA3mmGkMjXHmzDFu3LhMVFREjn0FT54UbDqOvEbNNWSC1q1bc/ToUf7880+jUUA6YmJiKF26NHZ2dnh5eXH79m18fX2ZM2dOsQwPNYeIiIg0ZfjZZ58xZ84cNBoN9+/fT9uPURQwlPfmzp1btG1bBS8vX44ezRiq/M8/h4iIeEirVh0pXboMCQlw+rR5Yzk4KErDwwMqV4b//gM/P0UpZEYI5Vx+8+iR4ifILebk/rl/P2u9hePHj5Camoq7exMqV3bJscPdwwMKc5Cfmmsol0ycOJGlS5dStWrVbNva2tryxhvK7s7sMpDevn2boUOHMm3aNENdFRt27kzfBDV37lwWLVpEXFxckVICkNU08+hROL/8spo2bToze/bStOPh4fc5dOh3SpYsRdeur1C6dBmmTBlG+/Z+XL78p9H+ExKeEBERSlJSfNrKITpayTCalGS8HnBuyzg+LZZYEeR0jPHjBzJ5slLtLSrKBSM5D03y5EnOryksqIrABH369GH06NFUrJj9MtLJyYn9+/enmZR0ZE5NkZiYyM8//8yaNWvYvn27xWUuLAQGBvLmm+n5c6Kiohg3blyRTMutbxqKi4slKOgaixZ9QnDwddq375Z2bv/+HQwd2oW1a79NO/b48UPu379NbGxk2jEpJWPGeDF+fGVSUjR8881Axo714sCB70hKiiclRUN8fHqWU1OF4QujIsiNj+Devdvcvn2TlBQbEhOVFcPp03DpkvmV2opyGKmqCIywZcsW2rdvzzfffGP2Neakpnj48CGTJ08GMOlQLupkTscNitIcNGhQkanToLs9/QkkMHAZffu2AmDIkLcztK9SpSatWnXi7Nnj/PzzDyQmJjB79lI2bLhF/fqd0tppNElERoby+PFdSpSwpVQpJcJozZoJDBnizJkzewAI1fpETU10hVER5GZFsHLlDmbPXsrhwwe4ffscoDyXqCg4d848Z3Ahs6LniGwVgRDCRgjRWAjRXQjRQQhRwdzOhRBdhBBXhBDXhRBZ7CBCCF8hxEEhxCkhxFkhRDdD/RQEQUFB/PHHHyxatIi7d+9m2/7WrVuUN5IoXT81RYkSJXjxxRd59dVX6dGjh8XkzS8sVVgnsxLQx5hJrbARHa2ESeqvCOzs7Clbtjw9ew7EwcGRY8fSTT7PPtuW9ev3ce/eHd57bzgPH8ZTsaIPrq7+2NunG6dtbe1ZujSUL7+8AsDo0T/QsWP66iolRaP9qXxXVwRgb1+Ws2dPsHz5h1y79k+GcykpEBFhmXELK0YVgRCiqhBiBXAd+AwYCIwF9gsh/hFCDBMm9msLIUoAi4GuQB1goBCiTqZmHwA/SSkbAwMAq9ld1a9fP9zd3bl+/Tp//mncPqtj9+7dhIeHZ9l4ljk1haenJ3v27GHTpk2Zu7B6zK3CZg7ZmduKQp2G5GR4/DjjimDo0Lc5eTKcVq068cEHY/jpp6ybm15+eTCvvDKE0FAnIiOzTuRCCMqU8aRChcppx0aMWMaGDals2JBKs2a9M7Q3pQgKIoQ0LxRBaGgo3bt3Z+zYsQbbBAVB69ad6d17IpUqZd29/jTO66KAqfDR2cBS4E2ZKbRIuyp4DRgMrDFyfXPgupTypvaaTUAv4KJeGwnoPIOuwL2c3kBe4ePjw6RJkzh8+DAeHh7Ztvf29qZ79+5UqFCBAwcOZBs1tHnzZuLi4ggICCg0oZKm0nPnNDLqiy++MGge0qcw12lITTWdo8bBwZGaNetTp06jDMellEyePAcnp5KcOGHDjz/u5L//9tC4cTcaNepqckxjv0e68FND+/aseUVgbOOYIeUVGRnJrl27qFWrVtq1QUHXGTu2L46OTri51aFiRXcGDFhgcHxzFEFRXhEYVQRSyoEmzoUBX2XTtzdwR+97CPBspjYfAXuFEG8DLkAnDCCEGAWMgvzN3T916lSmTp1qVttevXrRq1evbNtJKRFC8Nprr5GYmEjfvn1xdHR8WlHzBUsW1tEpjhkzZhgtW1mY6zRkihnIws8/f8+VK+eoWrV2huOdOtXm5s0r7N0bBPhx9eox9u79llKlyqUpgvDwYLZsmY2nZ3V69nyPgwdXsX//Mp5/fiidO48zOF5hUwSpqYqz293dvOt9fHzYsWNH2t+SlEqiuUuXzmhb/EPp0u706PFZ1otRlHZcnLLn4mnkLqyY5SwWQrQUQrwmhHhd97HQ+AOB1VJKH6AbsM6QuUlKuUJK2VRK2dTd0G9GHrB7924WLlzIhQsXsm2b2W7+xRdf4O/vT6tWrbK03b9/P3Z2diQmJhIQEEBqQaeAzAGWKgBkZH4AACAASURBVKwjpeSDDz7g1q1b3Lp1i/Xr1xe5Og3GFMGqVQvp3ftZrlw5T8OGzbHPlLfAxaUkAFeuXAWgUaOuDBnyNY0apbvPIiLucfDgSk6c2ALA+fP/4+bNE/zww1t8+mlnjh7dmGVcY+YhazUNxccbrzlsaKVVqlQpNm7cyIQJE7hx4wZSKik7ALp3H8CIESvo1et9QkOv8ujRnawdkL4qMGVKK6qY4yxeB8wHWgPNtB+DmxIycReopPfdR3tMnzeAnwCklH8DjoAZpanznk2bNjFx4kSOHz+OqU13huzmH374IcHBwQbfdBMSEtBoNHTv3t3gBGjNWKqwTlJSEnPmzGHWrFkIIdKK+uj8Bh4eHlmK+hQ2jCmC27dvcubMMcaOfZ+tW/+lRYv2Gc6vWLENgPfffxWA6tWfo0uX8VSr1jytTYUKlRkxYjndu08ClJ3FXbpMoEWLAZw7t48HD65nGTcyEh48yDqJWtOKIDk53Z8SF6dE9BgK2TQWxnnjxg0uXrzI/fsPtP0p/wl+fjXo2HEkLi5lmDixJj/++IHB62NiICRECS3NidxFAXNSTDQF6mT2E5jBcaC6EKIyigIYgOJX0Oc20BFYLYSojaIIwnM4Tp7w4osvsnbtWoYNG0Z4eDhTpkwx2M6Q3Tw+Ph4vLy8uXryYpX2PHj1ITEwkpRAmOddNzCNGjCAhIQFfX18+/fTTXE3Ys2bNyrAaCggI4PHjx4wfP55+/foVaiUAxierkSMn07t3gNHkZyVK2FKhQkUcHIznMyhTxpOOHUdl+D5kyFeEhl6lXbtheHpmTW/y6JHyKVkSXFzSj1uTIkhKUj5ubunhnBERWc1DhpRsUFAQTZo04dVXX6Vhw8Y8fAhvv/0Bb701g8jIFK5cgVKl3PH0rJYWbpuZR48U2YxlfinuiuA84AnkKFOTlFIjhHgL+B0oAXwvpbwghPgEOCGl3A5MAr4TQryL4jgemguFkye89tprnD9/nrlz55KUlGS0nTH7eGhoqMEdskII7O3t0Wg0REdH4+TkhF12++WtiP79+zNo0CBsbGwICgrKlaPbwcGBDz7I+lbWsGFDxo0bR9u2bS0haoFibEXg4+OHj4/xvA5ubh78++89TpxQlEl0dDhBQadxcXGjalXTC/GKFWtQsWINk20yKyhrUgTJycpbub4iePgwqyIwpGRPnTrFkiVL6NWrF2+//W7a8aNH/8fixfOws/OkZ89pLFx4LVu5zN1gVpQwFf65QwixHcVUc1EI8bsQYrvuY07nUspdUsoaUsqqUso52mMztUoAKeVFKWUrKWVDKWUjKeVeS9yUpfjkk0/QaDQmwxizs5sbi7tv06YNrq6u5FfeJEthY2PDtm3beOmll/j6668t2nfbtm359ttv6devn0X7LQiycxYb48cfDzNgQGcCA5XfuatX/2bu3M5s3vxxWpuwsFucPLmDkJCsK86cymVNPoLkZGXvBaQrgqgoxayV+frM9+Hr68uoUaPo3Llzhv6vXj3PP//s488/17Fnj3m/r6ZSchRVTPkI5gMLUCJ7egOfar/rPkWaGzduEBQUhCabfeXG7OatW7emdevWjBgxIoP/4I033qBZs2b8888/lCpVKktKCmunRIkStGzZkm3btvHRRx/lqo/Y2Fj+/fdfrl69alnhrITYWOOTxq5dv/Dtt3O4fv1SlnPKG3Ec//67j+vXjwHg5laRevU64ueXHmZ66tRO5s/vyd69izNcf+/eFfbs+YbTp/cYlc2aVwSJiUo+n8TEjBP9rVtZFVbm+2jSpAlvvPEGd+/eZcuWzQAsWjSLVasW4uTkQunSFTI8Q1OkpBTtdBKGMBU+eig/BbE2+vTpw9mzZzl9+jQNGzY02k4/DFJ/78D69es5evRolvaJiYmcOHGC9957j88//zzP5M9LypUrx5tvvom3tzcpKSlmF+7RcfHiRZ577jmaNGmSYUUUHx9PWFgY9vb2ZuV3skbCwkynK9ixYyN79mymatVaaTWKdcTHQ6VKdXFwcKZcOSXOomrVZsyYsT9Du3LlfHnmmR74+jbIcPzWrZOsWTOeli0H0qhRF4PjF7QiMDWebvIPC8t4PDFRMRFVqJCxbeZMoGfOnOHTTz/l9deH0bx5H86ePc69e7eZM2crVar04tGjO0yaVItSpcrz0UdHTMqZkKD4UwzJX0i2/eSIbH0EQog+wOdABUBoP1JKWbRSRGbC29ubs2fPMmjQIMaNG8fo0aONto2Li8PHx4fZs2czaNAgAMqWLcuePYbfzHT7CAojYWFhrFu3jvbt2/Pqq6/mqg8HBweaNWtG7doZJ8J9+/bRq1cvXnrppUKbkC+7ibVr175UqZJVCYCiCMqVq8SCBVeMOjQBmjbtSdOmPbMcr1ixJp07j6NKlWZGry1o05A5iuDBg6znnjzJqgj0iYqKwsfHh6lTp9KixfMAvPvuxwwcOIoyZZqSnAw2Nrbcu3cFV9dMtiYDJCaqiiAz84CXpJRZ17JFmF27drF06VLGjh3LmTNnTLY9deoUR48ezWDb7tq1K35+fgZDSH19fU2uMqyZ4OBgJk+eTNOmTXOtCBo0aMCxY8eyHC9VqhS+vr6UM5Q8v4jQs6fRfZrExys/y5XzyXIuNTUVm2yqsVSp0oQqVZqYbFMYVgSGzDKZC9dlbrN06VKmT5/O1KlT6dy5Kw8eQO3ajalbtzE//fQ/btzYSdOmvZk//yKOjqWylbO47SUwZ0PZg+KmBHR06dKFrVu3MmbMGJPtZs6cyYEDB+jdO2OOF1Nx94sXL6Zdu3b88ssvFpc7LylfvjzvvvsulSpVwsvL66mTz+nTvn17goOD+eGHHywgaeFDpwj0iYgI5fXXnRg3Ll05aDTJud6ImPlNOr8VgSmxTQTnERub8drM9+Ho6Iinpydubm5p96RTHlOndmLFihH8889PeHvXNqhoM2MscqioOoxNRQ310ZqFTgghfhRCDNQd0x4v8lSuXJlevXrRoEEDk+08PT1p3749fnrlnkJDQ3F0dEybNIUQVKpUiXfffZfk5GT27dvHoUOHCAoKyuO7sCyVK1emSZMm/Pbbb4SGhj518rmiypUr55kw4TVCQoIyHL9x4woXL54hLi79FddU2KKdnSPJyQkkJ6driZUr3yQgoAR//JFRYWo0SYSHBxMebrzqijWvCEwpAsi4KtBoMvb1zjvvcPfuXTp27MiBA/tJTYWfflrNhg0rGD16KY0adaNNm8Fmy1ncIodMrQhe0n5KA3FAZ71jhS9/cg5ITU2lcuXK1KtXz+SuYjAeHnrs2DH69u3L0aNHqVGjBlJKli1bxp07dxg2bBh169bl4MGDDBgwID9uyaLMmDEj2wI8pggMDMTDw8PoJr2iwMKFM9m+fSNffPF+huOTJw+he/dGXL58FlAcy2FhytuuocnHxaUMa9bE8d13j9OOpaQoz97OLmOOqjt3zjN+vD8LFmRcmeqTWREUtI9At68y88RuiMzmocyKQ0pJ8+bN6dmzM4mJGpYt+4AZM96kcePuTJ26E0fHkmzePJvvvx/Hkyem807rlHJRrkqmjykfwT7gdynlo/wSxlqIj49Pe1NftWoVPj4+dOmSNQojMDCQkSNHEq9d0+vejAHu3FHymfzxxx8AeHl5kZycnFb7uHv37rRs2TKP78TyREREPHXyucjISMLCwojN9Jd99epVXnnlFapUqcK2bdueWtaCpHXrF7h58wrPPJPx/9jPrxrx8XG4uCh26shIpYCMsUwjygbEjOEx48atY8yY1VnaOjqWpHx5X8qU8TQqV0GbhjKPFxUFrq7m7bvIPCnHx2dMpFeiRAnatm2LjY09cXHxdOgwBBubcOztXdPaHDr0A2FhN+nW7V1KlnQzOlZSklK9TEqoo5c8v6iuCIwWrxdCTAVeBOyA/wG7gWMFvfM3P4rXp6amEhQUxC+//MLUqVPp0aMHO3bsyNLO39/foDO4XLlyxMfHZ0g94ezsXOjz5wAsX77caASVn5+fWaauhIQEoqKisLe3x80t/Y/x0qVL1KlTh5o1a3L58mVLiZyvPHhg2NZvjEuXlMnQxSXrG29e0awZ6CJ+7e3Byyt/xgXl2ehHBd2/D46OYGMDBjKyZMDRERpptwIkJSVRurQ9nlqd98EHH7B7924++eQT2rTpTkgIXLgATZqAflzCwYPfk5QUR6tWr1GypJFcEnrY2Sl96PD2Vo4VRnJVvF5K+bmUsgNKVtAzwHDgPyHEBm0G0uyT9BdSbGxsqFKlCl26dOGNN96gc+fOBtsZewN+9OhRtmUYL126xJdffslvv/1mcfnzEicnJypUqJAlLUZOks85Ojri4eGRQQmA4n84c+ZMhqL2hZWHD8OMbkZMTFRMMqmp6RkvTSmBlSvfZN68HkRHG0nHmUP0xSpo01BysqIIs/MPgPLcDh3aQ5s2lZkx400SE9P7u3HjBv/99x/R0dFIqZicUlKyriLatx/Oiy++ZZYS0Mmnv1opqiuCbKOGpJQxUsotUso3tZXEZgPuwNo8l66AadCgAStXruTtt982eD43+fKDg4MZOXIkX3/9NZMmTWLjxqwpg62Z119/nQcPHvDZZ5+lhTP6+flZZLXj6OhIgwYNqFq1qiVELVCef74KNWs68ORJ1oon0dFw+7YySZkzEZ87t49Tp3YSHx8FwMqVo5k/vxfh4UG5kk1/YktJyd/JLfNYSUnmKwIpoXTpcoSEBHHp0hmkTLflf/bZZ/z993FatlRSTCQlaXjw4Aa3bhlJJZoD9Fd4xVYRAAghvLU1Cdqi5B46LqV8MW9FKzhu377NhAkTWLRokcl2xsJDs4uDj4+P5+eff2bixIl07979qeUtCHr37p3mVA8KCsqREli/fj0jRozg4MGDeShhwREfH0dcXCypqakMHZrRt9SrVzNeesmPixfvEhJiXn/Dhi1m8uTtuLoqi/ALFw5w8uR2NJqMs2dyciLvvdeA996rb7I//RWBMmmaJ4clMLQiiIsz35xWvXojdu06w7Ztx4F0ReDn50edOk2ZPXsuFSs688MP83jnnWq8/nrGZ3H37iVOn97D48fZ1yHXURyS0Jmzs/hz4FWUEpO63MkSOJyHchUod+7cYdGiRTRr1oz+/fsjhDBYrjIgIIDr16+zbNkyHjx4kJZeAsi2DGNERAQLFhTelE2+vr7cuXMHp8z7/M3gzz//ZNWqVTRt2pT27dPz8SckJDBr1ixsbGyYNWuWJcXNV5ycnPnrrzu0bFmJO3duZTgXGhpCePh9hLBJS7CWHZlLVI4atZLY2Ajc3LwzHC9Rwo47d84B6ZXwDKFbEeh2yRqrXpYXGFIEoNR2NofffvuRM2cO06vXazz3XDvi4pRspaBM2DY2NiQkxPPw4QMqVKicxQS0bdtc/vxzHWPGrKFtW/PqaxWHFYE5O4t7AzWllMVmr52/vz9fffUVISEhVKxYkUaNGnHq1CmDbXft2sX9+/c5evRoliigoliG8f3332fLli3MmjWLvn375qqPIUOG0LRp07QIKh2pqal8+umnODo6FmpFAODu7smBA1cpUybjRLRz5ylOnkykdOkKRq7Mntq1DafptrGx4bPPTmcJK82MRqOYhKKjlUk0IQEMZEzPE4wpAnPLc5w48Se//vod9es34bnn2pGcrKxoVq1ayrVrYfTvP5wJEz4kOtqZ3r2zZhv19W1A/fovULq0+ZUOVUWgcBMlcqjYKAJvb28mTJjA5cuXWbt2bRanpj716tUjJSUFb++Mb2cBAQEEBASkVTDLHEH08ccfc+3aNaSU1KhhOoe8NXHnzh0uX76cFjKbG1q2bGkwdNbBwYHZs2cXmhrOprC1taVy5awFYtzcPCljvOaMQS5cOMj9+9epV68jHh5VTLb188s+dYlGoxRh0ZGf6RQM+QhyQpcug6lQoSxr1nzD338f5JtvNvHkCSxfvoIzZ07TocNLODu7ZEldraNHj8n06DE5R2M+xa96ocGoIhBCfINiAooDTgsh/oeeMpBSjs978QqWWrVq8cBQBiw9Vq1aZfK8seykd+/eTVMAfn5+zJkzp1CEls6fP5/p06fj4eHB6NGj0Wg0rFy50iJ9lyhRwuxNadbMr7+uYcOG5fTrN5wBA0ZkOGcqM6kx9u1bwr///sL48T/i7u7H3r1LcHBwoX374bmST78ADChv48nJ+RMWqa8IcpOBvV691jzzTC2WLv2M27dvkpycTGysHcOGjeHmzbt4eCixsJaMhtJFednYFM8VgS5Y/yRQOFNB5pI7d+5w9epV/Pz8qFat2lP3FxAQQLNmzZg9ezbr1q3j448/TttwBhk3olm7MvDw8MDDwwMpJcuXLwdgxYoVJhOiBQYGZlCEgwYNonnz5rRq1apIJpi7ceMy//33t/bnX4wfPxMfH38APvxwNLGxJRg69Jtsk8jpqFu3I87OZXB39yMxMY41a8YbVQS//baAyMhQevacRunShjOYxsYqH31zUGJi4VAEGg14epZnzZrfKVVKuYGUFOjTZxQpKXDnzi0mTHiNixcvER+fRN26HRg27Jss/ZiTxE+fuDjD2UiLCqY2lPUG/pJShhlsUEDkx4ayxYsX89ZbbzFmzBiWLFlitJ0u8Zc5v1Dnz5+nfn3T0RzmbsiyFpYvX46dnR1DhgwxWpPAkGnMxsaG1NRUjhw5QqtWrTK0P378OPHx8bRo0aJQlfDU8eAB3L59n1u3rvHOO68RGhrCxo1/8Nxzz5OamkrVqspz2rAhNVdlPhMSnrBx43RsbGwYMiSrDXzSpNrcu3eZ+fMv4u2dNdW1Pl5eoHNVubqmrxDykseP06uQRUUpG+pyQnj4Xzg5PaJRo2cpXz6rn+Xmzat07Fgz7XvTpr2ZNGlL2vdDh1azcuWbtGnzOqNGfWf2uK6uULu2UjZTv+ZzYcLUhjJTK4JBwGIhRBzwF3AURTGczwMZrYbAwMC0ylsbNmxgz549+Pn5GQx1/PPPP+nUqRPdu3dn69atJvutUqUKK1euJDIykilTphjMYRQcHIy/v79Vm4nmz59PeHg448eP580338y2/YwZM7JET+kUaP/+/Zk3b16Ge+3WrRsPHz4kLCwM98zFagsJ7u6euLt78uGHi4iMfEzlytV59AjCw+HNN5eRlJSSKyUAShoJQ2+4Orp1m0h8fJTJegY69B20+bWxTP/XPjdhq2vXzuLEiT388MMu2rVLj6Y6ffoYtra2+PtX58sv1xEdXRJn52pZ0nPY2tqj0SSRlJQzG11kpCQiQlA++8daKDG6IkhrIIQ/0FL7aQH4ouwj6JbXwhkiL1cEht5eQdnoZMg5unnzZl555RX69OnDr7/+avY4xlJT6LDmdBT16tXjwoULnD9/nrp162bb3sbGxmTivsz32qNHD6Kjo9m8eTPlC+FfnbEUEzduKIogNyQlJRAXF4WdnQMuLjn0NJugfHnQWT5dXLIWic8LHj5M3+17756ysS4n7NjxEffvn6R1607Ex8fRokUHGjd+ltq1nUlIiOfixVicnJy5cgUiDOSV02iSSE1Nxc7OwWxlHBg4hWPHNvPtt6fo2rV0oTUR5SrFhA4pZRDwH3AKOA2EATkPHi8EGHp7BYxGDfXp04f4+PhsHcaZMbQRTZ/M6SisiSlTpvDZZ59RsWJFDhw4wObNm7Mkj9MnuzDZzFlLf/vtNw4fPlwolYCOhQs/5LvvFpCYmL4T6WnyCO3e/RVjxniybdtc4uKiCQ8P5skTMwPvTVDQK4Lc+AheffUjVq3aQWhoCF988T7//vsHAHXrNqZOnUbY2ysbIoyFo9ra2mNv75ijFdlvv80nLOwmZ88eLrLOYlM+gvdRVgDuwBXgH+3nrJTSzKhfy5OXKwJjb69CiFwXAtFn7969DBo0iH79+tGyZUtef/31bPt1dnZmyJAh7Nq1K0PUkTWsFqpVq8aNGze4cuWK0RBYY6ssfSz1fK2BkJBkfH2VyejQoRtcvnyOq1cv8P33S6hRoyWtWw/C0bEkdeu2z6andPbuXcyvv37MhAk/sX//cv7+exPNm/fh3XezrkLv3btCZOR9fHzqZBsrX7p0emZNBwfIjzLR+jWdr19XVgg5wd4ennkG/vhjN//88wft2nXluefaZWhz6NDvLF++HAcHN1q1CqBevQ5PJfPdu5eJinpAvXrP0qWLY77tubA0ufURvA7EAjtQfAT/Simj8kA+q8HX19doaUlLMHHiRMLDw1myZAk7d+5k3rx5LFy4kLt3jW93j4uLY9myZWkKypoijDp16kS9evVMxv3rZHz//feNJukrrJvrDJGSksJ7780lJiaaQ4f28H//NxZvb38ePw7hzp3zzJ/fEzc3L5YsMT/FQdOmvWnYsAsVKlTh0aM7XLp0iAED5hpsu3HjNE6c2Mq77/5K8+am60fp697CsiKIj09GSlvateuawUegz+LFczh+/E8A3N39MyiCx4/vsXbtBFxc3Bg5coVZY3p718Lbu1ahzTpqDqayj9YCXkAJI20HbBFCHBNCfCeEGJZP8uUrc+bMyZIywc7OjsaNG5NkwLM1ffp0+vfvz7lz57LtOzAwkGvXrqV9Dw4OZubMmfTs2dOkmQjIskrJSREYSyKlZO/evRw5ciSt0M7WrVuzncgDAgKMFqHJnLX0hRdewNXVlZMnT1pU9vzC0dGR0aOnMmXKHCpXrkGHDj2oVq0R8+adY9KkLTRu3J26dXP2hlq2rDceHlURQtCmzWC+/vomFSsaXoFVqlSPWrXa4uycvS+hIExDqamKD+Xhw9zl8Jk6tSFVqthw9eoFo206dOiBt3ctWrUKoE6djCuvlJRk/v33F86c2ZPjsVNTZfEzDWVoJIQt0ARoC7wJVJZSGo4XzGPyOnw0MDCQ999/nzt37uDr68v9+/dJTEwkKiqK0nprwsDAQIYPH05SUhKenp7Mnz/f5Bu6MQexbjPZe++9x71798yWsyDMKUlJSTg4OGBnZ2dQMRrjiy++YPr06aRkMtyWK1eOr7/+OsNza9myJX///bfBlB2FAX1n8ZMnEB//gObNPXFyKs3KlRE5il3Pa3RmFlByDulVWs0z7t2DW7dAbxtNjpg0qRb37l1h794LaXmF3NzK06NHYypVqsK2bUrxgRMnslZjA0hKiufkyR24uLjRoMEL2Y73+PE9JkyojEaTRN++M1m58mNcXbO9zCrJlWlICNETJVKoFVAXuIASQjoJxVRU5NBtfNIpgTlz5hAcHIxGo8kQ066ze+smw/v372drrjFmFgkODqZu3brcuXOHV199lR07dpCot+dfCGHQb1EQ5pTk5GQ6deqU5miTUqLRaLCxsTG6jwBgwYIFWZQAQMmSJbM8r507dyKEoFSpUpYVPp+IiYnmwoUruLq6ERFRjcTEh1Sr1gRHRzerUgKQcUUgZfru2bxEN05uWbDgMnXrphIREcTzz1fFy6sS69btJyLiEa6u6XmdjDmL7e2daNGiv9njPXhwPS3La2xsZJFdEZj6bx8KhAPvAZ5SyjZSymlSym1SylwGwlkvusk9ODg4Q0F2Pz8/Zs6cmcFkZCi6KDtzjamJ+8iRI2zatImaNWviordbxdXVldGjRxtMdW1uERhL4uLiwr59+9i7dy+glNu0t7dP+26MsDDDexINKUc3NzfKlCljUrFYM+fOnaJ37+ZMmfKGNjVBbSZO3IGnZ3W+/35ctjWw85PMk2V+LDCfVhEApKbaUL68B/7+1fH3r46fX1VOnAjjp58Uv0BysoYzZ/Zx/PgWYmONJB0yk3LlKtGz5zQGDVrA669/VfwUgZSyj5RyAVBGSpnBDiCEMFyrMBNCiC5CiCtCiOtCiGlG2vQXQlwUQlwQQmzIkfQWJCeTe25q9hoKGXVwcGDw4MG4uLgQEBDA3LlzeayXjzc2NpZWrVqxYsUKfHx8EEJQqVIlq9ljYGdnh42NTZZC9pkxpgSLkpNYh6OjI/XrN8HLqxZxcdEMGmTHuHE+7N+/lH37lvDaazbMnJl3Jq8tW+YwfHhptm//3Kz2+e0w1lUPexqSk8HZ2YWDB68SGPg/SpQoQbly7ri7K6nit2wJZO7cznz5ZR+uXDma5fq///6JffuWkpiY/aayChUqM3DgXLp3nwjkbhNgYcCcheD/CSHSvFtCiPeAXtldJIQoASwGugJ1gIFCiDqZ2lQHpgOtpJR1gXdyILtFMTW569IegLJyMLbENzWxBQQEsGLFCvz8/BBC4Ofnx6pVq1i7di3NmzfH2dk5i81fo9Ewfvx4pk2bRkhICFLKtKym+UlgYCD+/v7Y2Nhk2NuwZcsWUlJS6Nmzp8nrjRXwMbSqWbx4MYMGDeLff/+13A3kI8888yzbt59g1KjlODmVQgiBo2NJBg9eSPv2SgK63O4qNofU1BTi42NITDRv40J+O4yfdkUwf34v3nnnpQx7NDLj5paeesLVNWsaivXrJ/H992OJicl56c8iEuWcBXN2FpcHfgOmAF2AWsDAzKsEA9e1AD7SVTITQkwHkFLO1WszD7gqpTQ7fWVeOYuNOXNtbW3RaDScP3+e06dPG42Jf9rdwNntwNXh4ODAqlWr8k0ZGMsVtHbtWrNluH79OvPmzWP79u2EhYWZ3AsxcOBANm3axIYNGxg4cKDF7iO/ePBAyaHz33/Kd40mGVvbdP9SamoqqakpGY5ZksTEOFJSkrG3dzZrjEaNlKLwABUqQDYBbE9NcDBcvmx41685DBpkT0pKMleuJGJvbw/A5cvn+P77hdSu3Yhhw8YTHw9nzhjvY/36ySQkxNC37yeUKWO69Pq9e1e4f/8a+/YtpWxZbzZuXEGF3JeSKFByu48AACnlQ63jeD9KJtK+0jxDpzegHxsQAjybqU0NrYBHgRIoiiPncV0WYM6cOQbrBtSrV0+7Jd3O6M7jEiVK5EoJjTToDwAAIABJREFU3L17lwsXLlCxYkWjexgyk5iYyIwZM/JNERjLFZQTGf766y++++47Bg8ezNq1pktdjx49mm7duvHcc8/lWuaCJCUFrl5N/555MraxsclTp7GDQ85m8oJYETyNaWjKlB3Y2ydhZ2fH+++/yZ49v9KtWz9+/vkHOnTozrBh47Ptf9Cg+WaPt23bXA4fXgNA6dIVkNK8vQeFDVNRQzEo9Qh02ANVgL5CCCmltMT+OlugOso+BR/gsBCivpQyg4dHCDEKGAV5Z1c2VjdAf7IzZj5KTU3N1cS8bds2xo0bx+DBg5k5cyZvv/22yR242cmRF5gyma1YsYItW7YwatQoXn75ZaN9VKlShaFDh5oVDvr888/nWlZrYPHiNSxePJW2bYfw2mvpdvrLl49od6d2tGi+oKclPxWBrv+ncbg2bPgiQih9JCYmEBHxCHd3Tz7/fBUeHt4ZxjHE1auwaRO0bw+tWyths6YoV64SlSrVx9+/MS1bDiAoKIjTp69QtWpVi6SotxaMKgIp5dPG790FKul999Ee0ycEZcdyMnBLCHEVRTEczyTLCmAFKKahp5TLKDVq1ODll1/m2WefZcCAAVnOW3rncZUqVejUqRM7duxg3bp19O7dm1OnTnH79m2klGnpmi01Xm4wds82NjZs3bqVPXv20LFjR5N9tG7dOktZyqJKVFQUUVEPsjgi166dwK1b/1GmTEW6dp1Az55T82T8q1f/Zu/exVSr1pwuXbKvHaX/6/W0Ttzs0MX1P+04UiqFdaZNm8e0afNwcyuHrW36VJaSAgMHKjP8t9/eoVw5n7RzP/+spL6+dAk2bkwlKcmG2rWhe3eoVSvrWP37z6J///SyqatXv8eyZV/w6aefMn369Ke7ESvC6BpVm3XUKELBx0ST40B1IURlIYQ9MICsBW62oqwGdL6IGiilMfMcQw7Qs2fP8tVXX/H7778bvCYnTk9z6NKlC/v27WPChAk4OTnRokULgoKCuH37Ng4ODnh5eWUZz97ePl9DR40lyEtJSeHgwYNMnjyZV155xWLjnTt3jh9//JGLFy9arM/8pHv3kSxZco9+/T7JcLx27XYAREaGcvNm3u2afvw4hKNHA7l06bBZ7fNzRZDT+sSZSUqKZ+/exRw+vJaoKHB398Dd3SODEtD17+NTFxcXtwzO4shIuHABhNAAkURE2BAbq2w+++QTJfdRdtSoUY+OHTtmKU1b2DGVdO5nFEWxDcU3EA44AtWA9kBH4EMp5T6jnQvRDfgKxf7/vZRyjhDiE+CElHK7UMInFqA4oVOAOVLKTaYEtoSz2Fgd4ZkzZ2JnZ0ft2rXp2lXJYxIQEMD+/fvZuHEjHTp0IDAwkGHDhpGcnGzWjuKcIKXMElHywgsvcOTIERK0+/FzmvLaEgQGBjJkyBCDm8LMKabz5MkTEhISKFmyZLb1iKdNm8bnn3/O3LlzmTbNYMSxVXPggJJYzRCPH9/l5s2TlCnjSbVqzfNk/PDwYC5f/hN3d39q1cp+FVa1anr66bxORR0ZqXxOnsxdnqHIyPuMGVMRV1cP1q27j67O082bV7l27QKVK9egRo26hIXB9espaDTJ2Ns7cveu4qBOSoK1a8Hd/TxJSS/z0ktf0axZd376CY4ehWefhXcyxS3q/ibPnt1HSMh5zp//iRdfbMfcuYZzPVkzuXIWSyn7acM9A4DhQEWU+sWXgF0ok7bJbCFSyl3atvrHZur9WwITtZ98w9iegaVLl2aZ1KKioggLC0tLtRwQEMDly5e5du0aCxcupKIFUjbqyuYZCisMCwsjISGB7du34+3tXSBvIm3btjWoBMA8f8XChQuZOXMmM2bMYPbs2SbbNmzYkH79+hnNZlqYKVvWm7JlLfv/l5qqpG0IC4N69cDd3Q93d/NzReinYcjrFcHTmoZsbR144YWxODi4EBsLwcF3WLnyM9avV6oIjhgxiRkz5pOSAjY2JbC3VzYlrlkD+unA+vWrR5s26Xm/XnsN/vkHjh2DPXsUpTF4MLi6JjN8eGlcXStQrpwvV64cASAuLqJQKgJTmIwaklJeBAp/NfFM5GRD2OrVq9FoNBlqEsyaNStLu9xw+fJlGjduTOXKlY2aQlavXs29e/do27ZtgaVd0E+Wl5kyZcrwxx9/0K5dO6Nt7O3tKVeunFnyDxw4sFCGjeo4cGAjf/99kBYtXqVevYy+E40mGZDY2tpbZKyHD2HuXEURALRtC6NHw6lT4O8PZcuavBwoGNNQbscpWdKN4cMXp31/+FCkKYEXXuhFrVrKEiGzorl8Of3ftrbQpEnG82XLwnPPKauCNUqAED4+0KnTI5KTE0hKiqdx4+64ulagefN6tGlTl8TERBwcHHJ3I1ZItuGjRRFjDlBPT08OHjxIrVq10t7087JAipOTEwkJCVy6dImOHTuyaNGitKpfAwcO5ObNm2zbto3GjRvnmQzm4OPjQ48ePdi7d2+GZHN2dnZERESwadMmk4pg6tSpTJ2aN85Ra+PcuSMcOPAdvr4NMiiCdesmsWvXl3h71+HNN1dRvXruw2Ojo5XEbT/8oOxbcHVVCt8cPqz8PHkS3N2DaNhwHm+8YbzmNuTvzmKNxrJjpKZ688EHX1GjRh1aterIkyc2XLqU9Z501u9ataB+fcN7Jbp1g7//VtpKCdeuQd++nqxeHUtcXBRubsp84OV1ly5dqlO2bFlCQkIsdzMFjHVlwconjDlAHz9+TIcOHdi2bZvRa5OTk7l7967B0pU5pVKlSsTFxdGwYUMOHDiQIdncqVOnOHbsGBHanTeXLl3iww8/ZP369U89bk6pUaMGO3bs4Pvvv8+wM3ratGmMHj3aoiGfqampxMfHp/lEChudOgUwYsRy6tRpl+G4rnbu3bsX+esvk24wk9y9C2+9BZ99piiBypXh/9k77/imqvePv0/3poMCpS0tq5S9lSEgPwERFUFElLKXyBBBERSRJaiIoiAoKApWwIEgKiBDviBDZCgoexZaaBnddI/7++P0tkmbpEmbdEDer1dftDc3Nyc34TznPOPzfPABPJVX66+qd9++XYtduzZz9OgNDLS7KLMdQW6ufK3SZAxlZWVw5841kpJkRXBOjqBXr0l06tQdGxsbbt+WxXzJyQXPSU6WBsjNDWbNgqefhiNHNvHGG23YuLFgZ1+njrynah7GhQtyzI6OLvlGAMDd3Yu0tDSSkpIqlG5UabkvDYEq9+Dj46N1PCMjAxsbGy5dupR/7JtvvmH06NHs3bsXkFWyAQEBZlml29jY4OzszOrVq9mxYwf169fPf2z16tVs3bqV9evXs27dOs6fP8/cuXP5/vvvS/26JSUsLIyIiAhyc3OJiIhg7ty5fPrpp2Z15axYsQIXFxcmT56sdVyfzEVFo3HjDjzyyBgCA5toHe/ffw6vv76Drl1HERLSvsTX37JFulhq1oTHHoM33pBB3t695TEbG6hRA8CG5s3/5MMP/Xj7bf2TfFntCErrFgK4evUEEycGsXBhQbv0GzcgNTWTzMxs4nR071SPabrJUlOTuHLlGDEx2mlCgYHSsPr6SilxTansnJxstm//hB9//IqrV6+SmJhoUamQsqZYQyCE2CiEeFwIcU8ZjbCwMNx0dKHOzc3lhx9+yP97//79fPHFF/k+/LS0NPz8/MwSJFZp0aIF3bt31/Kht2vXDj8/P+bNm8d7771Hw4YNmT17NoMGDTLb6xrL7du3OX36NHdM7SuYx9tvv0379u355Zdfij3XyckJJycnrepbfcqwFdUY6MLGxpZmzbozZszntG8/oETXSEqC/TJeyauvwpAh5DdSd3CAt9+GJUvkqhfgxIlaKIogIQH0JXZpBovNoQyqD3PUEAhhg49PIFWq1Mg/FhcXS9OmLjRoYM+OHZ8XeU5srPxX0xC0bNmLt98+woAButOw1TyFnTv/ZcmS5zl48Ft+/30Fq1dPZP78CSQkJNxTRgCM2xEsBwYCF4QQ7wohGlh4TGVCbGysXkkHzaDxwIEDGTlyJPPmzcPGxoann36a999/n//9739mGcfo0aPp1atXvgtIE29vb6ZNm8bgwYMJCQlh1qxZPPus8Vrq5iI8PJzGjRuzYMECreMZGRlERUURExNj8PkXLlzg0KFDWsqq+hg+fDhpaWksW1YQFJw0aZLJst/lxX//7efYsV9ISjKvUvudO7Bhg1xZt2ihu7+wszP4+MhmM4VVvPU10Ss8Md+9a57xFsYcO4K6ddvwySfXmDq1oBwpLu46ubnyTTg4FE1NVr9ympt/Dw9f6tZto1VopkmDvBnu779d+PPPtly5koy7e0Febe3atUv+JiooxRoCRVF2KYoSBrQCIoBdQoiDQojhQohK28XTUKBHs3I3MjKS9evXEx0dbZHV6LZt29i2bVuRIrGdO3fyzTff0L9/f1599VWzvFZJ8fDwoGHDhtSsWVPr+N69ewkMDGTw4MEGnz9r1iwOHjyYX5thCmvXriVWXdYVoiylNozl66/nsGhRbyIijmsdv3jxL2bN6sjKlaOMkj/W5PhxeOkl2JlXsVPcbXR1lcYCwMtLujlPntR9buGJOSHBMhXG6o7A3DsOf/+GtG//HM899w4dOxat59G1I9AkKek2r77aiNWrC6qw1R1BfHw9YApXrw6gfftnWb9e4e+/FT7//HMeffTRfHfxvYBR7h4hhA+yUc0o4B/gY6Rh0FtMVtHx9vamV69eWp3HVF544YX830vShMYU1HzkpUuXah3fvHkzM2bM4MABqaeekZHBsWPHOHLkSJFrWJpRo0Zx+vTpIgbJ3d2dmjVr4l1MnmKdOnVo37491Uog21jSZj/lRaNG7fJSDbVVLVNTEzl//iD/+98qtm//xKRrHj4s3Tb16sG4cdCsWfHPGTUKgoLmER/fDlA4d04GUguv+HU1p0koXS8XnaivY24jY2dnz0svreepp6ZruRPv3JHxA107gqSk2/z441y2bl3M+fN/cv36GbZvX8oHH/QlOzuLwEAZb1GnhitXPPINWG4unDx5kh07dhhMq65sFJs+KoTYBDQAwoEnFUWJznvoOyGE5ZoHW5jAwEC2bNnC8uXLmTBhAoqi5EtOawqoGWoxaQ569+7NG2+8UUSRskePHiQkJODq6kpycjIJCQm0adMGf3//CpO21r59e64bSkkpAUeOHOH111+nVatWLFy4sNhmPxWN4cPn6awsDg5uRe3arbly5RjOzqbpNZ45I/8dOlQaA2Pw9IQnn6xLdPR4Dh1K5/p1Z8aNkzGFjz6SbiSQK/WMDNBMiTehHbXRmMMQnDixnXXrXqNFi8d4/vl3DZ77zjvSCKjZ39rB4kQ2bJhF9ep1WbToNPPmHWLmzHYcPfoT587tp3Hjrqhe0FdflUbl2jVZm5GbC+PHj6d///40b9685G+mgmFMHcESRVF0OsT1lStXJoYNG8b48eNxcnIiOTmZ1NRUrXaRHh4eJCYmFnmeZoFZaahSpYrOCa13797s3r2bUaNGkZiYyPDhw2nVqhXVqxvWTy8tat9mfQqsJSE8PJzIyEgGDhxIcHCwwXMTExP5/fff8//WV/Ph4+NTIbq0GYuHR1UWLDB93RQXBzExsmeAqa7pjh0HAnKyv35dTmJJSXKlXLeuPCcrSxagBQaCWrRuCdeQ5oq6pCQn3+HatX+LZGQVJienoMhOXTNpGgIPD1/69n2TKlWqY2fnQL16DzJ+/Dfk5uYQHCyzAePjL3L06E8EBAzmzp3qnDxZYAjati1UkXYPYIwh8BJCPF3oWCLwn6IoelRVKj7x8fHcunULHx8fYmNjqVKlCra2tnh4aK/WhgwZwvLly7UkFpycnJg7d27hS5aIP/74gzNnztC1a9cisgre3t6EhIQQEBCAl5cXx45ZTqwMimowqfGQNWvWcPnyZRYvXsyTTz5p8nVXrVrF3r176dChQ7GGoGXLluzcuTO/kE9fn4iPP/7Y5HGUBZmZGSiKg9myStTdQIMGRQPAxvLUU3IncOgQXLokV7iqIVDRLNuwhCFQr1kaQ9Cy5eO8++5xnJwMV6hr1hGoaLqGXFyqaCmKAjz0kPai4syZP1i7dir16zsD4zl1Cp54onQS2hUZY2IEI4EvkJpDYcDnwDTggBDCcJSwAvPTTz8RGhrKa6+9hre3t95m6UuWLGHNmjXUkMnZ2Nvb88UXXzBhwgSzjGPRokWMHTuWTZs2aR2/e/cu/fr1Y8uWLWWWKaQvHrJ//34uXbqkVVUMsrFOy5Yt6dGjh8HrDho0iNdff52goOI1cHx8fOjWrRst8qKdulp8VpSezboYOrQ+AwfacOeOtksrKyuDXbtWsGPHMj3P1I1qCBo2LNl4zp//k7Nnt9KrVw5qmcptHQlNmh+tOfoKa6JZ3Vua67q6ehIU1Jzq1esYPK+wIXB1LejCpsnmze/y+uutOHTohyKP+fuH8uijE+nYUSZInD0rd1Y5OXDz5k1WrFhRqdKXi8MYQ2APNFQUpZ+iKP2Q/YcVZLexSqsb4OLiQkhISH4mjBobGDJkiNZ5qqvk5s2bVK1alXnz5pl1ElJF7qZPn65VKPX777/TpEkTpkwpOz0+ff749PR0Lly4oHPCP378OKdOnTJ43VGjRrFgwYISpd3l5OQwcOBAIiIiOHnyJAkJCSxaZHyHqbJG7R9hZ6etQ6MouaxaNZavvprAiRO6Zc41+e8/WQn755/y75IagoULe7Fw4eOkpibmK4sWZwhAu76gtJR1F7SkJO2/9eUyKEouERH/cOaMzP45fXovP//8HrdvXyUkpAPDhi3h0Uf7Ehgod0yLFslrR0VFMXbs2Ar9PTQVY1xDAYqi3NT4+xYQqChKnBCiBGKyFYMBAwYwYIAs7Hn77bf5/fff2bNnj1ZR19q1axk9enS+nMSdO3eYOXMmR48e5YsvvqBKlSqlGsPatWs5r9HXUHXFgMxVbtiwIQEBBbnOTZs2JTIykvPnz5coA6c4DDXe0dWNqVq1ahw7dkynXEdJiYuLIzw8HHd3dxwdHZk8eTK3b9/G3d2duXPnkpiYaFQ9Qnnx3XdRxMTkFnEN2dsXLElTUw2n5SgKrF0r+/sCuLtLCYSS0KhRVzIz08jJyc43BLrqAgvLQmdnaweQS4OmISjNjuD06b38999OGjbsTLNm+nehxhqCBx7oR2BgUxo37grAtm2LOXp0Mz4+tbQUXEePhvffl32QFy+Gb74JZNSoUVpKAJUdYwzBHiHEr4C6f+qXd8wVsECiWdlz4MAB9uzZw+jRo+nevXv+8RkzZhTRFMrKymLDhg18+umnpX7dGTNmaOkLQUFq6vz587lw4QJnzpzh119/5Z133iEpKYnExESj2lmWhPnz52sZPjDceMfe3p5WrVqxdu1aevbsqTfAfOrUKRRFISQkJL/huD5iY2N5+eWXqVatGnfv3s1/r8nJycyYMYMVK1YwYsQIM7xby6GrJ7EQgo8+ukRy8h2qV6+r41kFXL4sjYCbm1QT9feXqpklYcqUjfm/qxk0unYEqiCcOnRzu4ZUSnPd8+cP8NNP88nNzTHKELRsKd1E+vQQa9ZsQM2aBfWxrVs/RdWqQbi5eXPs2C80bvx/ODm5Ur8+TJ4sm9dcviwXQJ9/XrSKuTJjjGtoPPAV0CLv52tgvKIoKYqidLXk4MqKadOmsXHjRubNm0f//v3zjxtKXWzdunWpfYSGUlPHjBlDdt7+PDIykjFjxjBt2jTi4uIs2rdZM28/MDCQlStXcvHiRSZPnszNmzeLPMcY+YcnnniCpk2bGpX26u3tzcSJE8nIyNAZr1iwYEGRjlSVherV61Cv3gO4u/sYPE8tWu/cWUom16hh8HSjUXcEN29mc+tW0Z2f5q7AUq6h0gRbQ0M707//PJo27W7wPNUQ1K4N8+ZJiWljePjh4Qwd+jEJCTEsWtSbJUsKpEDUHJJC67Z7BoOGQAhhC+xWFOVHRVEm5/1sUO4B2b2ZM2cSEhLC+vXrefjhh+nbt2+R1ExDE+61a9dKXWGs7/q2trY6J8GFCxfi5eWlc8VpCFME2wYMGMC4ceOYPXs2165dIywsjNWrV/PRRx/lN+fRZPz48cUW3DVo0IDGjRsb5ULy8fFhyZIlJBXe3+dREauJVTIyMnjttR4sXvyMzscTE28RHX2BzEzdyqrh4TBiBOzZI//+v/8zz7gURSE3NxcXFwVIIjPTjkmTioomak5y5twRGHINXb0qBd5ANpY3VJ4TGvoQTz/9Jk2aGL4x6lfHw7RyjXycnNyoW/cBWrQoKOFWN7IZGdKYRUVFcf78eb0NmyobBmcURVFygFwhROmc4RWQ69evc+HChXw3SHR0NF9++aVWDrs+uWqV0lYY6+uBXJpuYIUxVbCtXr16LFu2jFmzZuUfmzNnDh988AG+OvoY6qqxALmrUY3Ob7/9xsmTJ/Mzr4xBn5F0c3OjT58+Oncn5U1aWhrHju3k5MldOh8fO7Y6U6aE8M8/vxZ57OZN2LZNToo5ObLbmDma0X311QQGD3bgjz/WkJWVhoODzPiuVasfhZU7ymJHoPl7ZCS8/jrMmSOzcmbPlr8nJcn7UdK21WrWUEkMQWLiLVxdvXjrrb107z4u/7gaL8nMlIagWbNmNGjQgARLlGGXA8YsLe8C/wkhVgkhlqg/lh6YpVm4cCFnz56lb9++nD9/nldeeYWRI0dqtaDTTF3UR2lWqPpSI/W9nqenJ0OGDOGff/4x+jVKIpFx9epVpkyZkh8bGDJkCFOmTNHZYczT09PgdUzdNeXm5nL58mUmTJiAs1r+moeLiwseHh5s3ryZW/oaA5cjLi4uvPfediZO1N1voFGjroAdp08/zJ9/St/5pk3w3Xfw889ygunQAd57D155xTxjsrGxIycnm9TURBwdXWjSRAb9b936nAkTtKWWNTOHLBUj0Pz94kX5nq9ehQUL5O9pabB6tZTXnjevYHcEcPPmJS5e/KtYQT91bVKShn7z5nVl/vxHuH79tFbAX90RqPUWderUoV69evnu28qOMc7WjXk/9xRVq1bNL1rasGED69evByiSIhkWFkZYWBjBwcF6M2pKg3r9wugqoqpTpw7h4eH06dNHqx+CZjWwqvujxhKMUVjV5NKlS1y8eJHFixfTqFGjYnc8n3zyCaNGjdLbSEY1Osam3GZlZVG3bl3s7e2ZP38+r732GgBBQUHMnz8fT09PMjIyCAwMNOp6ZYmDgwNt2vTQ27x+xoyd/PBDOj/95MqOHdKHfeWK9jlPPQXmDAE999wCBg58D3t7uaRVA8bqx3X5sqwqBu0dQVm4hjTVSbKywMsL4uMLUmYBvvhCNtvJyAB39y85eHABI0Z8SvfuY/W+nrojKElSX0hIe1xcqpCVpR0MUA1BZqY0ZkePVlp1HZ0UawgURVkjhHAGaimKcq4MxmQx9MknNGrUiKFDh9KlSxeGDx+u87n6KlwtoXejTpqFx1q9enWuX79Oa42mq4WrgTWVOq9evYoQQmcnJX0GbNiwYezfv59evXoxbNgwcnJy+O2333Bzc9PZiUwd68svv6y3X4HqJrp8+XKx8Y0NGzZga2tLVlYWS5cuZcqUKXTq1Ik+ffoYfF5F5+5diIiw5ddfpXyJENIIODlJF8atW9C8uXmNAMgOWyoJCTepWtUXTUeA5i6gcFFZTMxtVqxYTvXq1Rk7Vv/EWxz66ghUQxAaKncmkybB1q1SZK9aNeke270b1DnX0/Mlatfeh6enYRejGiMoyY5gzJgvdB63sZGV3Tk50ihV0nwFvRgjOvcksAhwAGoLIVoAcxVF6W3pwZkTXfIJw4YNIzY2lpdeeomOHTsafL6+ydlSFa76dgqF0eX60USXETBkwDw9PalatSoff/wx9erVIzExkSeeeEKv5tLJkycJDg7mxIkTtG3blhuqyEshoqKiijUC6mekxkgiIyP57LPPaNWqlcHnVRRu3brFpk3fIUQgAQF9SE+XUg5//w1LlxasuLt2lT0Ddu+WTWT8/KT8Q9u2lhuboihMnFiLnJzH0dzga8b/CxeV/fjjJmbPng1gEUOgflVGjpTN4kHuWNzdoWdPeV/q1pWT7qZNEBNTnebN/zB4n3JzCxRWS2IIDOHgIF1XaWmyWvleQhSXACSEOAb8H7BHUZSWecdOKopiWPnJQrRp00YpybZMn2vHz8+PGzdukJycTEZGBh4eHsXmulckbGxsjOqdqu4MVBeLsQYsISGBgQMH4uTkxMaNRT2ETZo04dSpU3z33Xf873//Y8WKFVrjkX7z93j88ceLrSzW9xkFBQXlV2AfP36c48eP07Jlywqn/njo0CHat++Dnd1RsrPlzBYaWpAZU7OmnNiGDdPdQN0SXLnyD5s3L8DLqyYHD64nO1tgazuf5GRP4BmeeALUr4KTU0EfA4CffvqGyZOlikxJEwXVGIDK4cNyss7MlPdBCFizpvgVdmQkTJ8uf//8c/33LykJXnhB1mCYO9X/xRfJ7/Y2Z84IDhw4wNdff82DDz5o3heyEEKIY/qEQo0JFmcpilJ4KVgGheLmRZ9PPCYmBkVRmD17Nr6+vvkroIrIuXPn2LBhA/9ptJsyNkahKAoODg7s27dPrxHQTDOtWbMmkyZNIisri61bt+o0AiCrnUGmna5Zs0ZrwhBCMHToUCZMmGCUvIS+z0jz+Lfffsvw4cPZsmVLsdcra3x9fQkK+pHs7AA8PeVkdPasNALt2kmJgnHjys4IgKxi/uuvDVy9eoIVK26xYkUUM2e255ln5A747t3c/M+scHVxnz6DuHJFITOz5NnihSUl1L9v3JBGokYN49wsgYFSgjs313A2kbppLWnqqCHU9WFaWkH6qL6sucqGMYbglBBiIGArhKgvhFgKHLTwuMyOvgmzVq1axMbG8uGHHwKGs2DKm++//57+/fvz3XfU2HvSAAAgAElEQVTf5R8rLsVVk8zMzPyVdWEKp5lGR0ezZMmSYvVUPv30U3r06IGjo2ORKmxFUfj000+Nbjav7zNSg/oAbdu2ZciQITRpUi4bUoOkptYlMrIjtrYwc6bM/mneHBo1gjFj5Oq3rAkMbMJLL33Hc89JgX07O3sCAxvj7y97XR44sIUPP5Tiwjk5utNGS1PIrukW0qxTUOMDhZreGSQlRYob7NkTqfec0qSOFofaqCYtDT777DPOnDnDQw89ZP4XKgeMMQQTgcZABrAeSAJetuSgLMH8+fNxLCSeovrKq1SpgqenJ3Xq1GHq1KnlNMLiady4MU8//TQNGzbMX70PHjwYe3t7o/ojuLq66s220RdrKLzKL4ynpyfbt28vokyqydWrVxk+fHixxkCXUbO1teX111/P/7tfv36sWbOG3r0rXojq1VflivWRR+QE5+0t3RkzZxY0gilrPDx8ad/+WUJCOmgdV29zVpYzR4/+lH/8/HntyTsxMZ5Ll26UuHBKUxZKUxVUjQ+YUivh6LgPgCtX9HfEK20xmSHUHUFqqkwfDQ0Nzf++VvYsUmN6FqcqijJDUZS2iqK0yftdd65gBSYsLIzPPvss/29PT0+mTJnCwIEDsbe3Jz4+nkuXLplNR94SyIKlYwwaNIjBgwfnr94TExOJj483+FwXFxdWrFihtx+APrfMrVu3sLOzo2fPnkUe03QlFRcIzsrKKjYVVa2rCAgIQAhBrVq1WLNmDZMnTzb4vIpATg60aZOBl1c2jz1W8dwF27Z9zFtvdeDgwW85fnwb+/bJUiBv7yaMHl3gTE9Kkj5wgKlTh9OihTetW/sTE6M7I8wQ8fHafQ40i8VLsiOYPv1tnJxyiYtz1SmcpygFbTbNHSiGgqKywuultDTdQn6ViWINgRAiRAixUgixQwixW/0pi8GZm2HDhtGzZ09q1qxJQkJCfuaMKRIM5YWm6wZMC94Zo+Gvzy2jyhNER0drHS/sSjJmxWhM8V1YWBiRkZGEh4cjhGDw4MFan0lubm5+U6GKhK0thIR8S3y8Cxs3Tizv4Whx4MA6vv76ZS5c+JPU1EROn97D/v2ysY+dXQ3+7/9GaZ2vZt1cuFDgjL99O4ubN41vY5maWuCvV0lOlj8ffSSDxmDajsDd3YMmTeSU9dtv2vGHu3fhzTdl4BksHyP45ZdfmDp1Kvv27SM5WRo8C2lBlgnGuIZ+QDasfxOYqvFTLEKInkKIc0KIi0KI6QbO6yeEUIQQFm99uW3bNi5dusSjjz5Kt27dWLdunUkSDOVFcWmi+hBC0L59e3Jzczl8+HCRCV2luFjDhQsXtO6JvvHoa/ADxge2VflvXZ/JwYMH8fb2pk+fPhXOgDs6OlKtWg3c3YtKcZQnq1a9CMArr2ymVasnaN68J337SmOVmJjJzZuXtc5XffmffvojP/98lFOn7uLpGUBaWoGRMERmZtEVcna2nEAPHoS//pKGs0cP09tvduok/92yRVYeq/3jv/1WFsfZ2cldhiVScTVdQ7t372bRokX89deRfAMQGyulMSqj6oRR6aOKopjcpDNPsO480B2IAo4AzyuKcrrQee7AFmSdwgRFUQzmhpY0fRTgxx9/5ODBg/Tt2zc/yGNMymJFwNg00eL4+OOPeemll3Q+phbc6atG1rwn+sYjhCA8PFxn8Z2xncUMfSZbtmyhY8eO+Pv7ExERYfA1LNF/uTh270ZvZXF58dVXE8nNzeG55xbg6iqTIXJz1bTRXBo0+D9ef32rVvFZy5a6+xHY2MgMHn0e1NRUaQQKZwvFx8O5c/DDD7BxI/TtC6Y23lu//nWSkm4RGrqQdet88l1N9epJuQpbW3j33YKaBHOzZImsev7qKwgM/J1jx47Rpk1X6tQpanVcXWWMqKTtRS2BofRRY+rjfhFCjAM2IQPGACiKUlx3kAeAi4qiXM4bxLfAU0Dh5K95wHsYucsoDTt37mTFihXUrVs33xAYk7JYETAkF2EsNjY2nD17Vu/jERERPP3003z00Uc6J3nNe2KoiU1YWBgZGRmMHDkSkGmVEydONHoSNvSZHD9+HE9PT07ryCFMTU1l6NCh+X/r6r8MVNg2l5Zi+PClRY7Z2IC9fSZZWQ6cO3ecuLgo/PwKemZnZOg2BLm5sgjNxkbGRVRf/N278keP0kh+oFgtYHNzM/19HD78IzExF+jdexoffODDli1SqO/iRfn4k09azgiAtmvokUce4ZFHHiEqSnegOCVF/jg5yUQBF5eCrCNFKZ8MMkMY4xoaipykDwLH8n6MWZL7A5p5XlF5x/IRQrRCdjsrk6TwZ599lh49ejBx4sT8VbGhtNKKxPz587FXv0nFIITQ6aLJzc1l69atep+3du1aFi9erFclVPOe6FNOVeMuw4cPp0+fPtSqVYvbt2+ze7fxYSV9997b21srTqKLnJwcxowZw6RJk0wW27tXycxMIzz8FbZv/wSA1NQkzp07kCdLDQ0b9sHWVvu7dedOAnPmTKJ2bcGTT7bmxIkj+Y/FxspdT2ysnPxjY+UuQJ8RkK+p/a+rK6xfP53nnxc8/7xxs+Lzz7/L6NGfU6VKDdzcYMAA+OwzWZvx3HOyStuSqIZRNWYZGcVnC6Wny93Q9esQFQXXrsmfmzdlg6CbN2UsJTVVGku1liMnp3S9G0zFGK0h0xvNGoEQwgb4EBhmxLljgDFQugn6//7v/8jOzmbHjh0sXbqU//77r0w1hEpDWFgYkyZN0tIS0oXqvtGXxWNopzNr1iyuXbuGl5dXkYnUzs5O654UJ7khhGDTpk38888/vPnmm/mFZ8ag7zMBjIqTpKam6j3Pkju9xYsX88knq+nWbRJdu1acLmrR0RfYuvVD3Ny8efTRCURE/MO8eQ/j6HgeqM/gwasp3Pn0+vUbrF4tM4tOnvybhISC753mBGVstoxqJNRJ1NUVUlIMZ7oV5oEHis70Tk4FcQNLo7kjuHnzJocPn8PZ2Zd69YxrKK1pNDRLbgqV32BjU9AtzsVF3m97e7n7spSrSe+OQAjxmsbv/Qs9tsCIa18HNJPWA/KOqbgDTZBtLyOAdsDPugLGiqKszEtdbaNLE98UHnzwQd5//31ArpD1SUFXRPdBcb16NQ1YSXY6AwYMYOrUqYwaNYqVK1fi41PQSctNx14+LCyMiIgIcnNziYiI0HnPWrZsyZYtW3j33XcNjr3wdXV9JuboVWzJnV5UVBSXL/9LSkrF6qm8bp38r+zjI/87VqlSnfr12+HgIGdnHf2GcHSsysyZixkx4mU2bz5Cy5btS/z6ilIQgFZfy8UFhg5dwsKF/7FsWfGd6yoCmsHijRt/oXfvLnz++Qdmfx01vqLqJqWkyAC0JVt1G3INPafx++uFHiuaVF6UI0B9IURtIYRD3vV+Vh9UFCVRUZSqiqIEK4oSDBwCehcXLC4Nv//+O//++29+K0RVpsCYCa0iYGgSK2zA9GUB6WpCrw/NVXVCQoLJ2VQ5OTnExcUVqTg2Bl2fiSmTuI+Pj94CQksxdepUVq48zkMPDbbYa5SEWrWa4eVVk169pgDg7x/KzJl7SE6WzvWUlFxyC0V3nZ2rMWLEy8ycuZhmzdrg4VHy3lRqMxf5WvJfV1ewt3ckMLAJ3t7G5ZAeObKJo0c3k5NTPtVbqmc2Lg5cXAJo0+YhgoON//9UkTFkCISe33X9XQRFUbKBCcB24AzwvaIop4QQc4UQ5VIW+uyzz9K5c2eSkpJwcHDQucqtyOjzy3/zzTdFDFjhVbUq06C5ytckLi6OTZs2cezYMUC6fApP4Kb62Pv164ePjw/btm0z+jmG0PX+7e3ti4gEuri48PHHHzNlypT8Y1WrVrX4Tq9GjRrUrdscT8/qxZ9choSFLWT58ut07jwk/9jdu3HY28vP9+OPX+CPP9ZoPceQv99UNK9VmmDxkiXP8cEHfcrNEGgWlHXp0pMfftjHiy/qzYqvVBiKESh6ftf1t+4LKMpWYGuhY2/pOfdhY65ZGh566CFu375NeHg4V65cYdasWVo6NhUdU6WwNaWsU1NTSU5O1mv8Tp48ydNPP03Hjh3Zv3+/WbKp1CY5/fr1Y+TIkXzxhW6td2Mp/P4DAwNZsGCB1rHC92TAgAEkJCTQuHHjSvVZWxovLz+6d3+erVtBUUI4eLAZrVsXZAFdu3aWjIwYYmIiuH79Kp0798TZ2YX09DRatHjApNfSNATqJtPFBb7+ejLbtn1EgwYdee21Lbi4GN51tG79FNnZGdjZGZc0YW4Kdym7lzBkCJoLIZKQq3/nvN/J+9vJ4iOzAJs3bwbIl5HIzc1l2bJl5TkkkzG2T0FhXFxcDBaMubq60rt3bxo2lIEvQ+mhxrJq1Srat2/PmDFjipWgMBbN9z9p0iReeOEFlixZUqTmozxqCL7++mt27DhPixYDCQhoZNHXKi0TJwYRGzscmA1M5b//4Ndf4fnn5eO7d3/O1q0f5p/v7l6FefOk1Mfp0yk4OxsvoapOnNnZMlZgYyODvH/+KcUTz507QEpKQrGG4OWXvzf6NS3BfWkIFEWpQKUQ5mPt2rXY29uTlZXF6tWr6dChQ4WNCZQlrVu3zjeUYJ6ObEIIRo8ezYgRI4r4oEtDUlISH374IUuWyKwWDw8P1q5dy/Tp04mKiirSla2sagi+//57tmzZgp/fgxXeEGRnZ6Eo2ik/apUuQLVqtWnYsDN16jSgbl0/mjUrKJpycNBRYGAAdeJUq5JdXWUe/fDhn7Bz56d06TIMd3fdLsuKhKYh+Pffowwa1I3Q0GZ8//0f+Vk+lZV7rOGafnJzc1m/fj1jxowhKy9ZNzU19b4pMrp+/TqzZ8+matWqvPPOO8Web86ObLa2tgalJ0zFzs6OOXPmYGdnR3R0NL/88gsTJkzIN1q6iuFM7Z1cEoYOHUq1au3w9zcunbA86dZtLHv3ZnJbow/85csyf93WFh59dAKPPjoBkDLa7u4K//wTS0rKXZM/S9UQaNYQgEwH1ZUSqgtFUcjKysDOzsFsu0tT0ZShtrW1JTk5kbt3k7h7V9ZV1KlTLsMyC5XYhpnGnj17GDRo0H1bZJSSksIXX3zBhg0b8o9pavXUqlWL8PBwreeUNptq//79dOnShVdffdUs70FF3ZmsWLECd3d35syZY1R9gaWrxfv378+gQW9So0bFzyRJSIjh9u2/tY5lZMiip8Lcvi13d56e3vj7m55+Wzh1tCRtHhMSYhg61Jlx40yQKzUCB4eClX5xqMHijAxo0KApx4/HsWnTIa5fl4ZAU2bbHNy5c4vr16+RlmZ5Nbv7ZkeQpKmBW4iKJidhCfz8/Fi5cmV+wLRwD+fIyEiGDBnC4cOHWbq0qCRBSUhLS+OPP/7gjz/+oG3btgwYMMAs1wWZLjtjxgxGjRpltAZTRasWL0/69p1BrVq3+fJL+beNTQa5uY5cvAi1ailkZKTg5ORGcnIsERFXsbX14uefv+HKlfNMmTKXwEDj6kwzMgry4jUNQVzcDU6d2k1y8h3c3X0IDe2Er2+wgeuk4OjoUmwcwRjq1JGTuqOjjFWA3AklJcndkI0NnDmj3ZcBtF1DdnZ2VKniRUqKrBwGKXXh7S2VT41oD1Isn3zyNmvWLOWttz5i+PBJ3L17F19fy2Q63jeGQJU70DXp3w8ThLu7O6NHj87/W5966Pfff282Q9CmTRs6dOjAwYMHuaDpgC4la9euZdSoUaSbELWriNXi5Ym3tz+hoQX5++3aJXDwYHUuXIA2bW4zdmx1atZsQM+eL/Plly/SunU3jh3bBcDgweOMMgSKAjExcPduPG5uXlrFZJcvH2H58oJ6iwkT1hk0BDVq1GP16pRSp476+VGkihqkAdCcvBs0kPUCrq7SZaYoBYZAs9Oa2mBHPR4dLX/8/KTuUWk8oq6u7vj5BeDlVZWMjHRGjHiCbdt+xsMCGtv3jWsIYMGCBQb1ce4nDDWiMZecs5eXF6tWreKnn37imWeeMcs1QRoxU4yAj49Pha0WL098feWK2McHHntM1j5cvAh37lzH3t4RR0c3PD2rExTUgrS0guVxrVp1i712ejqcPJlNv361GDOmKpmZaVo7Ag+ParRv/xy+vsF07BiGj49xanG2tiVbu3p4SHlqPQ36dJ4fHCzvkbpO1JSYyMhI5+WXhzB3ru7iwehoOHpUKq7GxJQs02jq1PkcPBhJnz5h/PPPX4wcOdEiRgDukx2BZiqht7c3zs7OxMXFlVlaYUXh119/JSUlhf79+xtUMzVnAD00NJTQ0NBSX0eT4lx5tra25OTkEBQUxOzZs+nQoYNZg9X3Ck5OsHSpXLXa2cmf69dh4cKWjBuXSpMmibi5edG2bV/i4m7w77/bcXPzwdVVLql1ZcpkZUkhtevXIT09k6ysdGxsbLl9+yqpqfJ74OoKISHtCQkpuWyFqdSrZ3wsoDB+fvK5mjECGxtbNm8Ox8bGlvHjw3U+T1Gk20h1HTk6ynuWkyMNjb29/NvVVX4Wublyt+TsLFNt7ewKVErbtetSotiKsdzzhqCwLzw2NhYXFxfCw8PvGwOgMmDAAFJTU3n88cd1poeqmDPDZsmSJdy+fZu33nrLaPXU4tBnxHT1kNi3bx8NGjSgQ4cOHDhwwCyvr6KrVsHPr3J9p2xtkzl8eCO2tnY8/3wYW7ZIl8iOHTa0a1fgK/H2rsnDDw8HZF/j3Fw5STVoICe26Gg5QaakFMhJHDmyiaSk27Rv/xz+/qHs2SOPl2RCO3JkE9u3f8KDDz5D9+4vmvRcR8eSGwEVH5+C7mwZGZCaase4cauxs3NGURSjWtxqupQ0m9fo05G0sZEV2Pb20jgYu5spCfe8IdDlCy+LVMKKyFNPPUVOTg6KouS/90GDBuk811wB9EmTJgHQs2dPOnbsaJZrmlLj4OXlRb169Qgws1B94QWGWqswaRI0a1Z5vlepqQl89tkwvL39WbYsjHbtYPx4KZVcWDc/IuI4MTEXqF27FdWrS/fQv//ql0tWFAU3N+/8GgFN11Byciz29k44ODiRnn4XIWxwdtbfaDg6+gKnTu0mOLilye/RXCtp9TppaXDmjKBTp6GGn1BK3n33CeLirvPyyz/kZ6IFBVnmte55Q1BZGs+UBevWrdP6OywsjIkTJ+psfG+OALpmrOHJJ59k6dKlZjG+ptQ4NGnSxKyBahV9C4z33hvKiy/CQw9VDmPg4uJJp05DqFJFunu8vMDOLpmUFHfOnbuKrW00ixf3w97eibS0JJKT7zBixKd07y4NgaGErU6dBtGpU8FCQ9MQLF8+mOPHt9GsWQ/+/XcHPXpM0NlAR6Vjx4HUrt3KaIE6TcwlKaYagqws3W4xcxMVdYrbtyOQiv2W5Z43BOaQSriXWbp0qUX6MagrZpX4+Hizxh5KKrVhLvQtJHJzc/j8c/k+K4MxcHZ2Z9y4AsE5IUBRjgOdiIlxxd8f4uNvaD3HUHZPYdLTU/jkk4HcuXMNN7e/AYHM1xDY2zvi61sbZ2d3bGwMx3B8fAKMDigXxlyGwNZWummysuTPqVNbSEmJo02bPgZ3MyVlxozfSU1NKPH7NoV7PmuouE5a9xOKopCWlka2RocMS/VjMOSSuxcwtJDIzEzlu+8q7/ts314GdWNjvQkObsknn0QyfPgntGnzFJMmfU+LFsao0EscHV04e3YfV68eJylJVvS7usK0aVtYsyaNkSM/5csvkxg69COzvw/VrWXOIKsaMM7MhPDwl1m+fAgJCdHmewENqlevQ+3arbCzK2WAwwjueUNQmRrPWJrOnTvj4uLCn3/+CciJ+fDhw3Ts2NHs/RgqiksuNzeX0NBQgoKCjC48M4b58+fj5KRfezE2tvK4HlNSEoiNjWTBgh6MHOlJcLBcnUdG2mBv74iPTwA9eoznlVd+ol27/sVcrYBNm+Yza1ZHOnUawqJFp0lPl8kC6gpdCGFUkBXgwIH1/PbbEmJjI4s/GZl906iRzM4xZ8KYGnTOzIRWrZ6kY8cwHByMF+ArjgMH1jFvXlfu3jWte1tpueddQ1D+boSKgrOzM05OTmTmpT+cPn2aBx98kJYtW/L3338X82zTqCguORsbGyIiIsjIyCAoKIioqCizpA2rzx06dCg5hUtQAR+fyuN6nDatmdYE26iRrN4t/PEpikJ2diaKouDgULwAcXT0OS5c+JNHHnkBf/+GWhLUprJz5zLOnTtAcHDL/E5rhqhaVUpqN2hg+msZQnNHMHiwVGcND4dLl+DVV0vvhvryy3Gkpiby99+/cPXqcapUqU7v3tNKOeriued3BFYK2L59O2lpaTzyyCOAXJG1adOGJk2amP21KpJLbt68eTg7OxMZGYmiKPkZPiUtnFM1mgYPHoynp2eRxjiOji4891zlcT16edXE29ufDz88x6JFZwgMtMXWVtYDxMcns2rVi6xcOYrt25cyZIgT4eFTir8o8Mwzc5gz5wDNm/ckNRVSU+WO7NChz5k6tQk7d35GdPQF5szpwrJlg1EUhd27v2DVqnFFrtW+/XP06DGBqlWNS5tR+y+Zu3xE0xCAzJraulUWjn39demv37r1U9Ss2QAXlyps3bqYHTvKRib/vtgRWJEU3oa3bt2aI0eOWOS1zKleWlqWLVumt9uaqePRVZdib2+Pj48PcXFx+PrW4qWX5tOmTRg6krEqJPPmHSpyzN9fppAuWeLM2bNHgGMmX7datdpUqyalKFatAkURwAEOHVpHVNQpMjNTyc3N5uzZP6hZswFxcVGsWfMSmZlpNG3aTUuZVFVCNQYPj4IJ29xoGoK0tEy+/NIWkNZm3z5Zvdy4sSxgM9LrpYUauL97N56wsPexty+b1i/CnH7TsqBNmzbK0aMWa2ts5R7ExsZGZ3xACGFyn4Tg4GCDxWwHDsjJ4M4d6S4oC3x95eQXF4fZjM///gerV8sJz9ExjYwMX4RIZd68w9St28aka50+DfPmgRDZ+Po+w7BhY6hSpTqenjVwdfXi0qXDXL58lKio0yhKLm3b9qVVqyeKzSQqjBDSJVSzpizAsgR9+sCJE/Dmm/DVV19z/foQvL2T6N7dg+++KzivXTsYNcr0QHVCQgxRUadwd/clKKiZ1mMBAfDQQyUfuxDimKIoOj88q2voPmLlypV0796dH374obyHUqZ4enrqPG5KvEJ1B+mT5VCD4NWqyQnJy6tkK0JT8fWFunXlvw0ayAmoVSvTX3vhwidYtOgpYmOlDnXXrrBsmbx2RoYzgwbdZe3aHOrUaW30NX/7bSmbN7/Lhg3Sj/LUU4KPP/6Jli17UadOa7y9/XF0dKFRo4dJT09h796v8Pb2p02bp7SMQG5uLlev/sudO/oD8P7+0LKlHK+ljAAUqJXeuQMxMVI/q0uXE/TuLSf+Tp3kOYcOwYQJ8NFH8PvvsvLaGI4e3cz8+d3Yvn2Jhd6BbqyuofuIS5cusWvXrvwYwbRp0wgPD2fBggUMGzasfAdnQWrUqFGkaM6UeEVhd5AuVKPi4SErT+3soEoVbSkBS+Cvo77KwUEapJs3jbvGd9/N4J9/tgAwfvw3+cfd3ODpp+H992Uby0aNBH5+BZNhcWzbtphbtzIQYhp2dvD44/pX+A888DReXn4EBbUAZOVxePgUnn12Hk5Obkyf3hwXlyqsWqV9Q21sICQE9Nh6s6O6hjZuhJwcF5o3h2ef7QTAI4/In5gYWLECzp6Fv/6SP1CgepqaKg2W2kK7Rg1pyG1tc1i1agXgi719VU6d2kvVqgH5VdyWxGoI7iNGjBhBt27dCAkJASA6OppoY5cqlZi5c+eyYcOGfNG9oKAgk+IV+iS7VfQZlXr15Mrx2rUCTX5zoqqH6qJmzaKGwM9PVvcWbs2RmChPbNny8SKFUS1bQrVqydy65c4bb4CtbSIPPLCEl16aWez4evSYwLFjDThzRtCqlTQsV678zU8/LSA0tBOPPSblR7Zu/YjU1ET69HkjvzH9tm0fsW/f12Rk3GXYsE8ICGhcZGxCQGioNL5lhbrbuHVLvv7AgUXPqVEDZs2SDX2OH4dTp+TPrVsF55w4oevqtoDM3tuxA3bsyMDJKYHmzaF2bWjaFKpXh/r1zf2urDGC+4rCImmzZs2ie/fueHh4WEzetqJw6tSp/Oyob775xqQgsb4YA8g4w9ixY1m+fDkgJ99CcWkuXUKrJWRpsbWVO4Hq1Q1nxdy+LQXNbGykq8rXV7ooCnu3bt68RGpqIr6+wbi5eRe5zqhRfUhJeQOoDgRhZ3eD55+viZ2d9FnrSwfNzJS+9MhImDIF2raFVateZNeuzwgIaMz775/Mu74XKSkJfP55HG5uUuhu164VXLz4F337vkn16rp7QKousbJk3Tq5Q/L3h27dpCvOGHJz5X13cpLVyRcuyB7OOTmyp0F8PGRmKty5k01Cgg2ZmZCdXfTDfeIJ+OWXko3dUIzAagjuE3S5N1xcXO6b4rrIyEjCwsLYt28fDz30EPv27TP6uYZiA6CteqrLENy9CydPlmTUuvHzK7n4WHq6XKWawuLFz3D48I+AM35+N4iOLvDDuLpKt0x8vEzZtLdXJzV5H3Jz5U7g00+luyw5OZYffniLnj1fomZNmeT/ww9vsWvXCkaO/LRID+OzZ/dz6dJhHnigH76+QVqv27Rpye5BaUhIkC4fgL17V7Nnz5d07jyMrl1HmPV1srOzyMmx59Yt2SMiKkomA/TtC6+9VrJrGjIEVtfQfcL9rMJ6+fJlLly4wJw5c9i8ebPJ/RHmz5/P6NGji6SgqhRXLe3mJicuVXSttJSmDaKTk/wxpVHKxInrOX/+AFlZGQQHe7Jhg9xlXLsmJ0X1fRX2ngmhUKNGJn37OmKXN9O4u/swYoR2bnzXrqPYuHEeX301vogh2LLlA44e/Qkvr5pahqBGDePHb040d2Bxcdc5e3YfoaGdzG8whcoAAB8qSURBVHb97OxMRo/2ISsrg/DwDAIDRb78dGmzhgxhNQT3Cfomq6tXr5KSkoKrJbtelDOrVq1iwYIFvP3223z0kemaNmFhYURFRTF9+nSdjxuTfRQUJJuNxMXJuEFJsbeXFbOlwctLuiRycvRr4WtiZ2dPo0YP5/89cmTBY1evylW/t7d8Xzk58ve0tBheey2YtDRPOneOMXh9IQRdugzHwaFouk+rVk9y9uwfLF36PJGRJxkw4G3s7QsKxsoaO40Z86GHwmjQ4CGTRPgMcfXqCXbuXE56+l1sbGxJT79rETE7XVjTR+8TDE1WjRo1Mlt7yopIaGgoNWvWJDk5We+qvjimTZvGN998U+JqaQ8POUFWr16il8/H07P0aak1a8oG7qY0a8nJySYrK4Pt2z9h69YCYxoUJAOZVapIn31IiMyGcXXNoU6dptSq1czAVVUEPXu+xHPPLSjySNeuI3j66bcASE1NBOT1LS0BrQ/NHYGvbzCNGnXR2qmUhujo8/z++0qaNu1O585DGT8+gIMHvzXLtYvDuiO4TzDUkezatWtmlYiuaAwePJjw8HDee+89goKCeOCBB2jevDl2dqZ9/c1RLe3uLjNPSmiPzLISVhvFGdswbvLk+sTEXKRHj/Hs2LEMGxtbevV62eBzvL39mT/fuKr1L74Yw/Hj25g69VdatXq8yONdu46iVasnsLeXOwZzyUqXBBO/MiZRu3YrRoz4lKpVa7Fnz5ekpSWZXFRXUqyG4D5BcxLTFfi81+MFtWrVIiQkhHHjpI5NVFQU/rqS8PWQm5uLjY2NWQQMfX2lf91UHB3lyttcFDYEdnYyEO3mBmfOFByPibkIwK5dn9Gjx3js7Z3y70dpsbWFhg3rkZzcDHt73boQmZlpxMffoH592eO4JKJ15sLGRu3ZIAO6u3Z9Rnz8dZ5//t1SX7t69br5DX+aNetBWlqyTneZJbDoBksI0VMIcU4IcVEIUcTBKoSYIoQ4LYT4VwjxuxDCQo3YrIA0BsePH9cr/Xuvdm1bu3Ytu3bt4sKFCzg5OVGrVq18BdbinhccHIwQAltbW4QQ1KpVq9RutOrVZeDP1BbO/v7mrVbWdA15eUGLFvI1qlTRHts77/xDr16TGTFiOcOHf8KgQYvMYgQAatWCBQuWsH79CZo27abznBkz2jBnTmdu3ryEEMYXtFkKdVdga2vH+vXT+Pnn9wDzVQ7u2LGcRYue4vLlI0apvJoDixkCIYQtsAx4DGgEPC+EaFTotH+ANoqiNAM2AAstNR4rkunTp+vNib8Xu7atXbuWkSNHcvXqVRRFIT09nTt37nDw4MFinzdmzJgiu6fIyMhSKZeCXAUHBJhWGOTgUFCJai40J3tvb223h+bOIzi4BYMHf8gjjxR0nCuOo0c38+KLfnz1lX6xOBeXgmpbQyJxrq4yTerOnas4O5eNdIch1DiBEIInn5zGyy8vpF49UWql04iI4/zzz1ZOnPiN48e3cuPGudIP1kgsuSN4ALioKMplRVEygW+BpzRPUBTlf4qiqE7rQ4Dle7Ld5zRp0oTAwKJ67vdq17YZM2aQkZGhdcyYTmmGqonN1WnNw8P4VNBatcwfINU0BIUnYn0uqLi4G9y4cY6srAzdJ+SRkhJPQkIM6el39Z4THFwwqRta5Y8d+xV9+swgNLSTWbuNlRRNg/nyy7OYNGkqVatWoW5diI8/S0pKyZT/du5czsKFj+PlVRNPTz8OH/6R5GQj0rrMgCUNgT+g2U4oKu+YPkYC2yw4HivAhAkTuHbtGkOHDsXZ2fme79pW0k5ppX3cWGrVkit9HbY5nxo1zL8bAG1DUHgi1jQEP/44l8mT67Nv3zfMn/8Ir7wSys2bhqVV27d/jmXLrjNwYNFNvhBSIE+zmN3BQb+hCw5uwYABb+Pg4GxRQTljUVf+Hh7aWk/e3vDOO70YNcqbu3fPmnzdgIDGNG/ekwce6Ed2diZnzuxFUSygTaKDChEsFkIMAtoAXfQ8PgYYA/em+6IsKSwzUV49AsoKfZ3S9CmSFvc8zcfNgbOz1CQCSEwsqgNUpUrJq4iNwcFBNmIvnErq4CAznJKT4ejRn4iJucixYz9TrVptcnNzim376eDghLd3TZ2P1aiheyfk5FS0KK0w5RkoVnF2lruCoCBITb3LhQunEULQpEkrPD29uXPnJleubOHgwaksWPALycnyc9VoFa6Txx6blK+/9MILq0hJScDFpWzU9CxpCK4DmuucgLxjWgghugEzgC6KoujcbyqKshJYCVJiwvxDvT8oLDOhduqCezNtFPSnzXbponPNofW8UaNGka6jBNdSbrSAAKnd7+srJ+fMTJmXb0mfuL29/pV4o0ayAO61135h796v6dZtbL4WUGnQ5wZydKwchiA4uOD3/fv3MnLkEzz0UHfCw3fw889HuXs3mU6dgklIiCM+/jiNGklF1ZQUuHDhJLt3byIs7HUUxY7s7ILPOjtbFufFxt4kKekWzs4e+SJ8lsaShuAIUF8IURtpAJ4DtLT6hBAtgRVAT0VRbhW9hBVzcj/KTBTO/ff39+fVV19l9OjRxT4vNzeX6dOnc+PGDWxtbcnJyTFZudQUPDyk2qelumvpwt5ef/aSELJuoWlTf7y8Xjfpuvv2fcO5c/vo0GEgjRppG11976+4bCB7e9OK4MqC4OD6NG7ckrp1C2RL3NzcmT59Id7evtSv3zj/uKsr9O0rBZJ8fX0YPFi7JWdGRgYODg6cOHGVzz8fQ5MmrXnppQHExUm9KktKbVssRqAoSjYwAdgOnAG+VxTllBBirhCid95p7wNuwA9CiONCiJ8tNR4rJfeXV3bCwsKIiIggNzeXyMhIJk2axKZNmwgODsbGxobg4GCdWUCDBw/m+vXreU3bs1EUhYiICIsazbI0AiAn1+Je09/f9JX4mTN7+f33lURHF818KakhKG1VtiWoUyeEX3/9m9mzl2i5ywYMGEn37r2xL2Rl581bTtOmrQkJKdonvFu3UOrXtycnJ5v+/YfTq9cz2NrKHWLt2pZ9/1b10fuI4tos3i/oUmIVQqAoSqlX/LrURysykZEy+FlTtztfi6wsmDv3NXbv/onnn19Emza99Z579uw+IiNP0bBhZwICtLPGH3hAtzsqMVG7kE0TIeRuqaLtCDSZOnU4R4/uZ/bsT+jS5dH84zk5OdgakVvarp0/N2/e4Nix23h7F80OcHUtney2tVWlFUD6vUuqlXOvsHTpUgYPHlzERaYuiK5evcrgwYMRQuDl5cUTTzzBlStXymOoZYK9vfEFWvb2kJ5+mxs3LuDre4dmzaS+UI0aRXvzhoZ2onv3sUWMgKGYhJOTNEq6dgxVq5a/ETAUq0lKSmTDhtVERFzExUXejLS0VN5//w369HmAbB2R4qSkBPbs2cbevb8BcOjQdc6dy8DLq+wV9aw7gvuM+y1rSJO1a9fqDQAbYv78+bzxxhtGnVvZdgSxsXICNjY//8aNSNLSUqlWzQ93d+1mRqmpshdBUpJc3evC3R0aN9b9mEpKCvz3n/axZs3KN1BsZ1fQ2KcwN25E0qNHI3Jzc1m/fg8hIY1xdnYhIyOdHj0ac+3aZdas2c727RuxsbHlscf64eDgyMaNX7N+/UpCQhqzfXvxDSssuSOwGgIr9w3FNZjRR2BgoNFxlMpmCJKS5ARrTjG1c+dOsm3bFjw9mxAc3AUnpwKVuKpVC9JlDfHPP6DWAXp7y+yp8kLVYLK1hevXpYusMH36PIizswsLF35JYGDt/OOHDu3B0dGJxo1b0by5J+np8svh7u5BcrLMFe7XbyiLFq0udhyWNAQVoo7AipWyoKRB8aioKDOPpOJQEiOgKApfffUx3bs/pTXpqSxfvoCff15Pq1btWbOmJ6dPF/RsNjYYXrWqnHRBptWWF7a22i1BHR11G4J163bnu4Q0adfuYQCys7NZvfo3zpw5wbffrsTdvQr16zcmNvYW77//FTduRPLaayOoXTuEefOWFbmOpbEaAiv3DcUVienDxsaGtWvX3pMuNFONwF9//cGHH87k8OE/WLZsPn/9Fc3hw38we/ZEliz5ltDQpsyfv4KAgGAmTpyJk5MtAQEFaqvGGgJvb2kIAgLKxyVkZyd1kOzstGMaTk4ylVMTIcDNzTXf2Om+nh0PPtiZBx/szLBhE4s8Hhd3mwMHdhEfX4quRaXAGiy2ct+gK1huDDk5OaUWmrtXOHnyGIcP/wHAc8+Nwc7OjoiIi1y4cJrPPnsPkHn0U6cuwMlJ6kH4+ZEvDWGsIXB1lXGB8toNeHjolr0oPH4bG2kwqlUrWeGfoijEx8dSpYoXq1f/xsyZi0s+6FJgNQRW7hvCwsJYuXIlQSXQbDCX0Fxlp23bTkyfvpB163YzdarMNnvwwc6MHTuNiRPfJEuH30QI6ePXlxGkD1Nstma6fmnjHTY2+tuBamY92drKjClnZ7lT8PIyXhgwKuoq0dFRfPzxHFq1qsqPP66hS5dH811JZY3VEFi5r1CLy3S1ndTXp0HF2BiDJbtYlTfNmrXhhRem0r591/xjdeuGMm3au/z883ratq3Ohg2rizzP2VkKzVmiYM7eXtZBeHnJlXlJK3DVftBeXoZX966usnmPn592SquHhxQRrFHDcKrr+vWf06lTMB06BHL48B+4urqRlVV8fwxLYjUEVu5LNHcHqgJreHh4flGZLowVmnNzK7+euuagpNpGZ8/+S2JiPL6+NXQ+7uFhGd2kKlXkdatUkbsIUxv+qFStKiU19O0GVHx85Ln6DL6TkzRMfn7SKDk7a38fnJ0LFiCTJ89l584zHD/+F1u3bijZwM2ANX3UipVC6Ko8dnFxMUqq++ZNuaKMjS1If6xMqO6OmBjIyTH9+ZcunSUgoDaOZaSVYWdXtHNbbq7prUDd3Cwj9a2iKFJYDiAl5S7Jyel4evqQkwOLFs3nnXdm8uSTz7JixXeAPFdRpAFRg9DW9FErVsqQ0jSpt7OTbgF7+8ppCKpXl2P39JTGzFQ0xdfKAje3orsMGxtp0IwxZC4uBT+WRIgCt5ijoxve3gW1FdOnv0StWlVp0aIFfn7ymLo+F0JmKWVkYNFeDNYdgRUrZiQtTf6HTUyUVbaVCVtb7QY50dEV35gFBOh20RQ3dhcXuXMrqRupMmLdEVixUkaouj2VcYIpPGY/PykbcecOBnPkywtHR/1+el07MjWGoD7XSgGVOKRlxUrFQ3VTVEZDoCvTxcVFxgwqYvDbzU3/Y4Xvv6ur3AE4OlqNgC6sOwIrViyAvb00CpXJ86rPeDk4yIBserp8Pw4O8vf0dGkg0tJKFlguLYb8+up7cXSUBsBYhdX7FashsGLFQtjZ6dalqagYyn23tdVWKHVwKGg+rygyJpKYWHaGz86uQP9HF2rhV7Vqhs+zIqmAGz4rVu4Nyls/31RK6s4SQmYZ1axp2cwWTYq7t3Z2Mh3UagSMw2oIrFixEJ6eckVaEf3rhSksrlYS7O1l+mlpct1NeS1DCFExGt1XFirBV9SKlcqJvb2cjCrDzsCcwW1XV6keakkqwz2tTFgNgRUrFqYyZBCZe2L18JDpmpbCagjMS6UrKBNC3AZMF5UvnqpA+YiBG8Y6LtOoqOOCijs267hMo6KOCwyPLUhRFJ2Ou0pnCCyFEOKovqq78sQ6LtOoqOOCijs267hMo6KOC0o+NqtryIoVK1buc6yGwIoVK1buc6yGoICV5T0APVjHZRoVdVxQccdmHZdpVNRxQQnHZo0RWLFixcp9jnVHYMWKFSv3OfeNIRBCVC/vMehCCFFMY7zyQQhhwSzw0iGE8CrvMehCCOFT3mPQhfU7Zjr32z275w2BEMJNCPERsE0IsUII8XR5jwlACOEqhFgG/CiEGCiEqF3eY4L8+/UhsFEI8bIQokV5j0lFCOGSd89+E0JMFEK0zDtert/jvHu2GNgihHhbCNG12CeVAdbvmOncr/fsnjYEQgh/IBwQQC9gL7CwXAdVwFzAA3gbaAm8W77Dgbwv1w4gE5iFLE4ZV66D0mYK4AMMBZyAFQCKopRb2xQhRH1gE5ADjABuA2+U13gKYf2Omc59ec/uaUMApANfKIoySVGUGOB74LgQoll5DEYIYZf3rxvgDixQFOUPYD5gI4R4szzGpUEi8KmiKNMVRdkP7ANy8lZJopjnWgQhhFPev3aAA7BOUZSziqK8D9zOW4mX564gBVipKMqriqKcBrYC0UKIgPIYjPU7ZjrWe3aPGQIhRAMhxGdCCGcARVFigT0apwQCdYBzZTyuUCHEV8BcIUSQoih3AS9gYN44E4D3gGeEEDXKcFz1hRCvqX8rinIFubpVSQVCFEVJUco4vUwIESKEWAssFUK0URQlG3AD2mucNhYYLIQIKKtdQd53LH9XqSjKDWCbxikuQKiiKFFlMR6NcVm/Y6aPzXrP8rhnDIEQ4iGkG2gM0oWAEEIoipKicZoDEKEoSpm15M4LIH4FnARsgQVCiG7A68CzQghV++NfpNF6vIzGNRDYDUwVQozJO2ab959BpQ5wqizGU2hszki3zwnkfRkvhBiJ/E85VghRFUBRlEjgG2B0GY3rcWAj8KoQYnreMbtC98ybsl9oWL9jpo/Nes80uGcMARCL9NGGAMPzLHxha9kSuAQghBhdRi6iUCBVUZQPkF+ybcAA5JdvI7AYQFGUTKSf+XYZjAkgCulr742cXF0URckREvV7UQf4G0AI8ZQQIqiMxlYXSFEUZaGiKEuBL4C+gDPwKdpFM+fz3gtl4Fq4CYQhv2PThBBuiqJkCyFsNF67EXn/SfOCjSEWHhNYv2MlwXrPNLhnDIGiKGeAi4qiXAR2IoM+hX3HjwA+Qogfkdu/9DIY2t+AoxCidZ774gAQiZzYZgPthBBjhRCPAp2BMnFx5PlA9ymK8ifwX95YAGw03CxNgUAhxM/AICC7jMZ2EggWQnTOO/Qv8DvwGjAD8BZCzBJCPAuMAtLynmdR14Ly/+2df7BVVRXHP+vB44fAI+JBYIJkQhQKTGOBQMlgUKSEKMgIiVqThaFhkJkzZJmNKMRooiMZTUJmNjgOaAhTxGRq5m9pbJiKUCbHURwhsBDjsfpj7SuHw73vB++eczec9Z25c/c5e597P3effc/aZ5+111Z9Btga2tgG4K6QJYnvHgf0EZEHMaORx2KV3sbaLq+z1BcfUy/Ma6ShQl5ppnQP4B/A2an8R7De2vQMuHoB9WVYGjAvkhsTeVOBW0N6LHA18CQwOy+uVJnTQqM7PbGvDxbO9glgZkbnslOZfXXh/UrgF4n9I4GVmMfEEGAO5kmRRZ0dwVXhvO4GPpHI64wZrWeBCzPg6lBhf63bWFmuSNpYQ2o7lv9l2WtYreqs6hWf5SucuG3Az4BrKpTpEN7nAw+H9EWYC+n4jLiuB3ZgQxZXlcn/TLiInRu2hwDPAF0yrq9muVJlbwBWhvQnw/ulGbLdjA3zfChsSyr/VOAB4JKw3RvYCPTLuM6a5Uq1sUXA5pD+XHg/LyOuW0L771Uhv1ZtrFmuGrexRaEOFhMMMwmjVcM6K8dVV8s6y+zHZlB5k8KFoB7rFW7Cbr07pcpJIr0Lc71amdXJxXoOv8N6GCOBvwNjU2UasB7sc5jn0nTMC6Axw/pqkStVvh7rabwN/KBSw6wCV0dgAfZA9afAl1o459uAjwMXApuBgRFwJdvYAWAvcBuJO68qcp0QLgavAPcDEyqUy7WNtZarRm2sH/ArYBU2jDIL+BPQO+SX7jrzrrNmuWpaZ1l8aBUr7n2J9HTg9tIFHVgKPEWwkqnjegJLsNv0ihe/dnA1JtKjgDUJrvnAPcAHyxy3CPNs+gtwZgxc2J1SH2Ad8DQwLqNzmWQbhBnzOcCPgDNKLGWOmwv8GBtuyfpctoWrEbgbeD4jrobw3hEYDnTD7vC+Dwxo5ris21ibuXJsYyW2BmBWYn9fzENoRI3rrNVcedXZe9+X5Ye3o+J6A8uxMeCrgIHYA5sV2BP1TsCtwG+AL5cqLnF8HTA8A673B65HMU+Dj4U/wwrg1MR3P1w64ZgXQpLthEi46hLHdyIMbeTANiKRdxI2FPNNoGvyPKbqrMUx6Ly4EmU6ko0B6IUZmEewu6ATE3lDwwXrfFJ3Hzm0saPiyqmNJdlmAn3C/lLPvxHr9TemjsuzzlrNlUedpV/ReQ2JyGis4t7EpnkPwMa3H8X+tBPD+w5syOdiONxjRFUPquqWKnONAdYCe4B5wAewu5SXMMM1Jrh6HQTuwwwYqtqUYvtvJFwHw/Giqu+q6oZqclVg6wvMKOWrTbp6CuuJfyrs0+R7SDfFwpUoc0BVH68mV9BizEPlFmA0iZAoqroVuzMaDwxO8WTWxtrDBdm2sTJsozjk+lnysmkEXlXVw9byzbnOWs0FudTZYYrOEGCeGMtU9Xvh4v8Y0DVMqrgX+CowVVWXYbGD/ikinXPwIf8XdvdxXTAyHTFXwias5z0FKK0VugZ4WfKJrtgurvQFLmO2eoL/c0KbMKN+mohcJSIzM+SJmkss4mU98ENV3Yx1hHqKyDcSxe7FzvEwEbksuDdGzZVlG2sl2yDgtVB+ioiMzYqnWlwZ/y+PUK2jNh5x8Q69i4cSef/DPDhKvcJ9qvq6WOTJ1ZhF3V/NiqvAtUNV/yYivUTkJ9iEj8+LyO3YzMPfAvPE4pKsB/ao6r+rxRQzVxvZpojIHSLSEMrsxh62XovdrewqAlc5qepe4GTggrD9FvYs7JIE107gVcwT7FosEFkhuVrLBpwFdBGRlcC3yGFuR6xcFZXH+FO5F82Mcab2XwEsTu0bBvwVmJ83F2blzwrpEzBX1hvC9nDsZM8rCtdRst0NLAnbAzHPkwVF4arAWnJJHYcN63UL210wd9aLwvbIwHV1kblayTY7bK/DvM++VmSuZplr8qU2LvsHzP1sSmJ/XTodLmDTQvp8gh850LkWXGWOmYtZ8yMech7vXO1kW5jYjulcZs11DfDF9DnB7s5L52o1Fm2ylLccmBjS3cnAFTpWrnayTQrpaaWLcRG4juq35Ppl5qmxCngIGIPdcq8hTN5JlBueSK8Hvo09QP4l0DcGrrA9Gpt5OC2W+sqDK2a2iLl6YJ2anVjPuWciL3kRGYC5Gb4MXIoFO3uW1Cz5452rSmwTi8TVrt+U65eZK+XlHLKWpwA/B4aF7X7hT/xH4ETs9nwPNtadyYzNo+DqF7h+HS4cU4vGFTNbbFxAxwTXOSG9Glga0iXOkzCvrrVh+2xgITbh6IKicMXMFitXVX5bph9uXgQLSUw0Abon0nXhDzg4bE8Erkh9xmWRcp1TFK6Y2SLnWorNOC4NBZTGjk8GthOMU9g3nQphU4rAFTNbrFxV/Y0ZVt7pmEve68B9Fcp8FFhfIa9i4C/nyo8rZraIuQS4E1srYTbmufV1Es8cMB/zByscX/UJdDFzxcwWK1e1X1m6j76JhQYYioUUngS2yELCpa8/Ic63iIySsOh3aTKFc0XBFTNbrFw9MC+auWpzX5ZiAc1mJMp8F/iwiJwpIsNEZEKCq6oT6I4BrpjZYuWqqjIzBKr6GnC/qu7CxmivC/ubMCsLMALoJCJLCLPuQhl1rji4YmaLmGsPhx4QgsW6fx6b5d0vlHkXe1bxOBZlVYrKFTNbrFzVVqYTylR1X0iuAt4RkffCG4Qe26eBCcBbqjpGbQZe5nKu44ctVi4siuVIEemvtszgFmwhpP4AIjIeW2LzJlUdqqqbCs4VM1usXNVTXmNQwGeBP4f08PD+BZqJpOhc8XHFzBYTF3aRuBn4TmLfY4RAddhynFV3hT5WuWJmi5Wrmq/cQkyo6kZgl4jsBxaLSKOqrlNbgLxmcq7jhy0mLrVhq7XAZBGZISKDsF5kU8jfpqpvOFf8bLFyVVU5WdQ6LOjSK8BXam39nOv4Y4uYazIW7mMrGYX4OJ64YmaLlasar9IEiMwlIpOB36vq/ly+sJVyrrYrVraIueqxZ4d5LczeKsXKBfGyxcrVXuVmCFwul8sVp2Jcj8DlcrlcOcoNgcvlchVcbghcLper4HJD4HK5XAWXGwKXy+UquNwQuFwtSESaROQFEXlJRF4UkQUi0ux/R0QGicisvBhdrvbIDYHL1bL2qepIVR2GrWcwGbi+hWMGAW4IXMeEfB6By9WCRORtVe2e2D4FeBpoxBYmWQ10C9nzVPUJEXkSWwthO3APFi57MTAe6AzcoaorcvsRLlczckPgcrWgtCEI+3YDHwH2AgdV9R0RGYwtkHNGiEi5UFXPDeUvxwKT3SginbGQxTNUdXuuP8blKqOOtQZwuY5x1QPLRWQkFoRsSIVyk4DhIjI9bPcEBmN3DC5XTeWGwOVqo8LQUBPwBvas4HVsAZw6LCpl2cOAK9UipLpcUckfFrtcbZCI9AHuAparjav2BF5T1YPAxUCHUHQvtsxhSRuBuSFoGSIyRES64XJFIL8jcLlaVlcReQEbBjqAPRxeFvLuBB4QkTnABuA/Yf8WoElEXsSW0bwN8yR6LqycthM4L68f4HI1J39Y7HK5XAWXDw25XC5XweWGwOVyuQouNwQul8tVcLkhcLlcroLLDYHL5XIVXG4IXC6Xq+ByQ+ByuVwFlxsCl8vlKrj+DzZnIFPbVfacAAAAAElFTkSuQmCC\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": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "63688302afbd41a58de6c9e56e79f47d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.12560762465000153, 'log': {'agg_test_loss': 0.13102763891220093, 'agg_test_loss_p': 0.12560762465000153, 'agg_test_loss_kl': 0.005420011933892965, 'agg_test_loss_mse': 0.04171710088849068, 'agg_test_loss_p_weighted': 0.03254330903291702, 'agg_test_score': 0.12560762465000153}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>2.821728</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>0.014804</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.049933</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.539386</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>2.806924</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss               3.264200e-01      0.519664             0.583979   \n",
       "agg_test_loss_p             3.264199e-01      0.512404             0.530546   \n",
       "agg_test_loss_kl            1.415805e-07      0.007260             0.053432   \n",
       "agg_test_loss_mse           5.554044e-02      0.046874             0.050668   \n",
       "agg_test_loss_p_weighted    6.167767e-02      0.102418             0.099437   \n",
       "agg_test_score              3.264199e-01      0.512404             0.530546   \n",
       "n                           1.000000e+00      2.000000             1.000000   \n",
       "\n",
       "                          PL_Transformer_mean  TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                        0.554576                    0.600801   \n",
       "agg_test_loss_p                      0.554576                    0.600801   \n",
       "agg_test_loss_kl                          NaN                         NaN   \n",
       "agg_test_loss_mse                    0.078667                    0.044556   \n",
       "agg_test_loss_p_weighted             0.103580                    0.113829   \n",
       "agg_test_score                       0.554576                    0.600801   \n",
       "n                                    1.000000                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  LSTM_PL_STD_mean  \\\n",
       "agg_test_loss                                    0.603395          1.042797   \n",
       "agg_test_loss_p                                  0.603395          1.042797   \n",
       "agg_test_loss_kl                                      NaN               NaN   \n",
       "agg_test_loss_mse                                0.047060          0.065798   \n",
       "agg_test_loss_p_weighted                         0.114300          0.191335   \n",
       "agg_test_score                                   0.603395          1.042797   \n",
       "n                                                1.000000          1.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                   1.405925    1.456276   \n",
       "agg_test_loss_p                 1.398106    1.448933   \n",
       "agg_test_loss_kl                0.007818    0.007343   \n",
       "agg_test_loss_mse               0.050875    0.050474   \n",
       "agg_test_loss_p_weighted        0.257106    0.277617   \n",
       "agg_test_score                  1.398106    1.448933   \n",
       "n                               1.000000    1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                             1.629111   \n",
       "agg_test_loss_p                           1.629111   \n",
       "agg_test_loss_kl                               NaN   \n",
       "agg_test_loss_mse                         0.051648   \n",
       "agg_test_loss_p_weighted                  0.275075   \n",
       "agg_test_score                            1.629111   \n",
       "n                                         1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               2.607442             2.559804   \n",
       "agg_test_loss_p                             2.493560             2.559563   \n",
       "agg_test_loss_kl                            0.113882             0.000241   \n",
       "agg_test_loss_mse                           0.058096             0.051622   \n",
       "agg_test_loss_p_weighted                    0.467946             0.454760   \n",
       "agg_test_score                              2.493560             2.559563   \n",
       "n                                           1.000000             1.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss             2.718724         2.821728             4.716095  \n",
       "agg_test_loss_p           2.697164         2.806924             4.716095  \n",
       "agg_test_loss_kl          0.021561         0.014804                  NaN  \n",
       "agg_test_loss_mse         0.056558         0.049933             0.050778  \n",
       "agg_test_loss_p_weighted  0.488960         0.539386             0.811491  \n",
       "agg_test_score            2.697164         2.806924             4.716095  \n",
       "n                         1.000000         1.000000             1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'anp-rnn_pt', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=anp-rnn_pt, trial=<optuna.trial.FixedTrial object at 0x7f8d712a37f0> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_pt/version_-1100/_ckpt_epoch_6.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ee484a1f862a446fa333c54b03d65235",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': -0.16237787902355194, 'log': {'agg_test_loss': -0.15489181876182556, 'agg_test_loss_p': -0.16237787902355194, 'agg_test_loss_kl': 0.007486071903258562, 'agg_test_loss_mse': 0.04123469442129135, 'agg_test_loss_p_weighted': -0.028847331181168556, 'agg_test_score': -0.16237787902355194}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
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       "        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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>3.264200e-01</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>5.554044e-02</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>6.167767e-02</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>3.264199e-01</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss               3.264200e-01      0.519664             0.583979   \n",
       "agg_test_loss_p             3.264199e-01      0.512404             0.530546   \n",
       "agg_test_loss_kl            1.415805e-07      0.007260             0.053432   \n",
       "agg_test_loss_mse           5.554044e-02      0.046874             0.050668   \n",
       "agg_test_loss_p_weighted    6.167767e-02      0.102418             0.099437   \n",
       "agg_test_score              3.264199e-01      0.512404             0.530546   \n",
       "n                           1.000000e+00      2.000000             1.000000   \n",
       "\n",
       "                          PL_Transformer_mean  TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                        0.554576                    0.600801   \n",
       "agg_test_loss_p                      0.554576                    0.600801   \n",
       "agg_test_loss_kl                          NaN                         NaN   \n",
       "agg_test_loss_mse                    0.078667                    0.044556   \n",
       "agg_test_loss_p_weighted             0.103580                    0.113829   \n",
       "agg_test_score                       0.554576                    0.600801   \n",
       "n                                    1.000000                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  LSTM_PL_STD_mean  \\\n",
       "agg_test_loss                                    0.603395          1.042797   \n",
       "agg_test_loss_p                                  0.603395          1.042797   \n",
       "agg_test_loss_kl                                      NaN               NaN   \n",
       "agg_test_loss_mse                                0.047060          0.065798   \n",
       "agg_test_loss_p_weighted                         0.114300          0.191335   \n",
       "agg_test_score                                   0.603395          1.042797   \n",
       "n                                                1.000000          1.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                    1.333418        1.405925    1.456276   \n",
       "agg_test_loss_p                  1.322273        1.398106    1.448933   \n",
       "agg_test_loss_kl                 0.011145        0.007818    0.007343   \n",
       "agg_test_loss_mse                0.045584        0.050875    0.050474   \n",
       "agg_test_loss_p_weighted         0.255269        0.257106    0.277617   \n",
       "agg_test_score                   1.322273        1.398106    1.448933   \n",
       "n                                2.000000        1.000000    1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                             1.629111   \n",
       "agg_test_loss_p                           1.629111   \n",
       "agg_test_loss_kl                               NaN   \n",
       "agg_test_loss_mse                         0.051648   \n",
       "agg_test_loss_p_weighted                  0.275075   \n",
       "agg_test_score                            1.629111   \n",
       "n                                         1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               2.607442             2.559804   \n",
       "agg_test_loss_p                             2.493560             2.559563   \n",
       "agg_test_loss_kl                            0.113882             0.000241   \n",
       "agg_test_loss_mse                           0.058096             0.051622   \n",
       "agg_test_loss_p_weighted                    0.467946             0.454760   \n",
       "agg_test_score                              2.493560             2.559563   \n",
       "n                                           1.000000             1.000000   \n",
       "\n",
       "                           np_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss             2.718724             4.716095  \n",
       "agg_test_loss_p           2.697164             4.716095  \n",
       "agg_test_loss_kl          0.021561                  NaN  \n",
       "agg_test_loss_mse         0.056558             0.050778  \n",
       "agg_test_loss_p_weighted  0.488960             0.811491  \n",
       "agg_test_score            2.697164             4.716095  \n",
       "n                         1.000000             1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'anp-rnn_c', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True, 'batchnorm': False, 'attention_dropout': 0.5, 'dropout': 0.5, 'hidden_dim_power': 5.0, 'latent_dim_power': 8.0, 'learning_rate': 0.001, 'n_decoder_layers': 4, 'n_det_encoder_layers': 1, 'n_latent_encoder_layers': 4, 'num_heads_power': 3.0}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=anp-rnn_c, trial=<optuna.trial.FixedTrial object at 0x7f8d6cfb1470> params={'learning_rate': 0.001, 'num_heads_power': 3.0, 'hidden_dim_power': 5.0, 'latent_dim_power': 8.0, 'n_latent_encoder_layers': 4, 'n_det_encoder_layers': 1, 'n_decoder_layers': 4, 'dropout': 0.5, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_c/version_-1100/_ckpt_epoch_0.ckpt\n"
     ]
    },
    {
     "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": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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VMYmJiURERPD000+bLcUpefrpp7nttts4fvy42VI0GpfBkYlp5ovIWRH5vYTycBHZKyL7RGSriHRxlJbqRJ06dbj//vtp3749f/75p9lynI4ffviBVatWkZSUZLYUjcZlcGSPYCEwxEb5MWCAUupq4DVgrgO1VBsCAgJ44YUX2LRpEyNHjjRbjlPRtWtXfvvtNz7++GM9vqLRVCIOGyNQSm0WkTAb5VsLfd0GNHOUluqGj48PnTp10iEmykhcXBwAt99+O/Xq1TNZjUbjOlSXweJxwPdmi6gKsrKy8PT0ZOvWrdStW9dsOU7Fvn37yMnJ0aE5NJpKxvTBYhEZiGEInrNRJ0JEokUkOiEhoerEOYCtW7cSFBSkcxWXg8DAQP744w/mz5+vcxZrNJWIqYZARDoDnwC3K6VKjBmglJqrlOqplOrZqFGjqhPoIBo3bkzDhg3NluGUvPPOO0RERLBv3z6zpWg0LoNphkBEQoBlwANKqUNm6ahqBg4cyIEDB9i5cydXX3212XKcikmTJrF+/XoefPBBgoODzZaj0bgMDstZLCJfATcAAUA8MA2oDaCUihKRT4C7gBjrIbkl5dMsjCvkLE5OTqZ+/fr4+/uTnJxsthynwcPDg5ycHLKysvDw8DBbjkbjVNjKWezIWUP3lVI+HhjvqPNXZ/z8/Dh27Bi1a9c2W4pT8eGHH5KTk6NTfGo0lYzpg8U1jaVLl9KrVy+++eYb7d4oI+PHj+f+++/n7NmzpKenmy1Ho3EZtCGoYuLi4oiOjtazXsrJE088QVBQkA7hrdFUItoQVDH33nsvv/76K8ePH+fRRx/FYrGYLckpyMvLY+XKlfz66680btxYu9U0mkrEYYPFjsIVBotBD3yWlbS0NHx9ffHy8tJuIY2mHJgyWKyxzaxZsxAR3Nx0p8we3NzcGDFihDaaGo0D0Iagilm3bh3bt29nyJAhXHvttWbLcRq8vLxYtWqV2TI0Gpek1NdREXETkW4iMlxEBolI46oQ5qqsWbOGadOmsW3bNrOlOCUffvgh11xzDfPnzzdbikbjMpTYIxCRqzDi/9wEHAYSgDpAGxFJBz4GPlNK6dHOMjB06FDq1atHeno6a9as4cYbb6ROnTpmy6r25I9l6VlXGk3lU+JgsXVl8EfAT6pIJWuv4G9AklLqM4erLISrDBYHBwcTFxdHbGysXk9gB7GxsTRv3hyAX3/9lWbNmtG0aVOTVVV/Xn75Zc6dO8eHH35othSNyZRrsNjWymCl1FlgViVoq7EMHDiQxMREPQ3STvLy8gBo3ry5HluxE6UUr732GgCRkZHUr1/fZEWa6opdg8Uich0QVri+UmqRgzS5NIcOHSI9PZ2PPvpI5yMoA6GhoVgsFr3uoowsW7aMtLQ0bQTsZOXKlXz//ffceuutDBs2zGw5VUap6whE5HPgKmAPkGfdrZRSTzpYW7E4u2toyJAhrF+/nrVr1zJ06FCz5TgdO3bs4Pvvv6dnz5416j+qpmro1KkT+/fvx9fXl9TUVLPlVCoVXUfQE+hQdJxAUz5atGhB586dadCggdlSnJLt27czbdo0Jk2apA2BptLp06cP+/fvp1WrVmZLqVLs6RH8B3hSKXW6aiTZxtl7BPlcc8017Ny5k507d9KtWzez5VR7jh8/zuOPP05CQgK33HILvXr1YsSIEWbLqtbExcURHBxMnTp1OHHiBK6Q1MnRnDlzhiNHjhAUFORyOcXL1SMQkVWAAuoCf4jIdiArv1wpdVtlC61JKKVQSpGbm2u2FKcgOTmZNWvW0Llz54IBUI1t8rO4ZWZmkpaWpg2BHTRp0oQmTZqYLaPKseUaeqsiDYvIfGAEcFYp1amYcgHeA4YB6cDDSqldFTmnM/HLL7/g7u6uQ0zYSYsWLVi1ahU+Pj5mS3EaAgMDad68OVdddZU2Anaye/duTp8+TZcuXWrUtG5HZii7HrgILCrBEAwDnsAwBL2A95RSvUpr19ldQ7169SIuLo6ff/6ZkJAQs+U4HcnJyRw7dgw/Pz+uuuoqs+VoXIy+ffuydetWhgwZwvfff2+2nErFlmvInhATI0XksIhcEJEUEUkVkZTSjlNKbQYSbVS5HcNIKKXUNqCeiASV1q6zc+rUKWJjY3VPoJxs3LiR7t27M3nyZLOlaFyQ/FX+//vf/0xWUrXYM2voTeBWpdSflXzuYOBkoe+x1n3VYlDaUezevZuMjAzmzZvHb7/9xssvv0z37t3NllXtiYuLY9WqVRw6dIguXboQFhZmtqRqT2JiIkuXLiU7O5vRo0dr95AdfPTRR8yfP5927dqZLaVKsccQxDvACJQJEYkAIgCnd6fk/2fMnw8fERFhsiLn4ODBg0ycOJEBAwawZ88es+U4BS+//DJz5swBoHfv3toQ2EGbNm2YMWOG2TKqHFuzhkZaP0aLyDfAci6fNbSsguc+BTQv9L2Zdd8VKKXmAnPBGCOo4HmrBVOmTOGRRx7RvQE7CQoKIiIigtatW5stxWnw9PQEwMfHh4YNG5qsxjlQSmHMY6lZ2Ao6t8DGcUopNbbUxkXCgNUlDBYPBx7n0mDxbKVUqUFknHmwOC8vj4iICLy8vPjggw/MlqPRaIrQp08ftm3bRlRUFI888ojZcioVW4PFtgzB34D1Sqnz5TzpV8ANQAAQD0wDagMopaKs00c/AIZgTB8do5Qq9QnvzIZgwYIFjB1r2M/Q0FAiIyMJDw83WZVzER0dzR133EHXrl1ZvXq12XI0Loa/vz8pKcZcGFcLplDeEBPNgf+ISG1gE/A9sN3eUBO2opdayxXwmD1tuQKLFy/m8ccfL/geExPD2LFjOXPmDM8884yJypyDjIwMkpKSOH/+PKdOndIhqO0kKSmJjIwMGjRooPNe2MGuXbsYMWIEbdu2NVtKlWJPiIm6GMlphgDXAn8C6zB6C/EOV1gEZ+0RhIWFERMTc8X+hg0bcu7cORMUORfLli3jrrvuYtiwYURFReHl5UVAQIDZsqo1N910E5s2bQKMFKmDBw82WZHGTCoUdE4plQp8Z90QkQ7AUGARoH9ZdnLixIli9ycm2lpqocnH09OToKAgmjRpUpCgRmObHTt2AMbc+Fq1dHpyTcnYm48gGAgtVH+HUupth6lyQUJCQortETj7dNiqYvjw4cTFxZktw6nYunUrycnJ9OnTRy9gtJMJEyYUZHQLCnL59a0FlGoIRGQmMBr4g0L5CIDNDtTlckRGRjJ+/HgyMzML9nl7exMZGWmiKufj3LlzTJ06lXr16vHGG2+YLada07FjR7MlOB3ffPMNqampbNq0qWDQuCZgz2vCHUBbpdQwpdSt1k1HHi0j4eHhzJw5Ey8vL8BIufjvf/+b22+/3WRlzkVaWhpRUVF88cUXZkvRuCCffWakYM/IyDBZSdVijyE4inXap6ZiPPnkk6Snp6OUYtSoUTz22GNERUWZLcspWL58Od27d+fDDz9kzpw5NXL1Z1mIjY3lxRdfpHnz5vTo0YO1a9eaLckpuP322zly5AjHjh0zW0qVYmtl8fsYLqB0YI+IbOLylcWmpKp0Ffz8/GjcuHHB6k+NbRISEti9ezc9evRg5syZZsup9hw7dqzAdRYbG6tnptmJm5ubyyWksQdbC8oesnWgUuozhygqBWedPgqXFqjUxCXsFeXcuXPExMTQsGFDHXDODo4fP87ixYtJT09n5MiRhIWF6TATdjB37lzc3d15+OGHcXd3N1tOpVLelcV3AFuVUmcdKa6sOLMh2LJlC/3796dfv3789NNPZstxSvLy8li/fj0Wi0WnqtRUKkop3N3dUUoRERHB+++/j4eHh9myKo3y5iO4H9htzUXwmYhEiMgVMYM09pOXZ0y60lP5yk9ubi7Dhw9n5MiRpVfWaMpAvgEAo2dQeIafq1PiGIFS6m4oCBx3nXV7RERCMNYRDKsKga7EgAEDsFgsWCwWvvjiC2bPnk14eDhPPfWU2dKqPT///DMbNmygT58+DB482KXe1BzB0aNHSUhI4NChQxw5coTBgwfTp08fs2VVa9zc3IiKiqJbt25YLJYaNX5nz8ri4yJSB/CybvmfNeVARHB3d+fs2bPs2LGDfv36mS3JKfj555959dVXmTx5MuvWrTNbTrUnKiqKf//73wXf/fz8tCGwE1eLOmoPtmYNvQj0ARoBB4FtGNFCI5RSeSUdp7GPe++9l759++rgaXZy3XXXMW3aNK677jqzpTgFwcHBXHvttbRr144WLVrQu3dvsyVVe/Ly8jhz5gyenp41Lo6VrcHiA0AasArYCvyqlLpQhdqKxZkHi7du3crrr7/Oddddx4svvmi2HKdGz8DSVDanTp2iWbNmAKxZs4brr78eX19fk1VVHuUaLFZKtQNuBqIx8gp8JyLbRWSeiIxxiFIXJy4ujjVr1rBr1y6zpTg1jRo1ws3NjaSkJLOlaFwIi8VS0EMfPnw4J0+eLOUI18HmGIFSKhFYLSLrgB7A9cAjwFjAVgYzTTH07duXVatWERgYyN69e1mxYgWdOnXizjvvNFtatSc2Npb4+HiCg4MLegE5OTkmq6r+nDlzhlOnThEYGFjwtqspnubNm3Pq1CkmTJhAbGxszcrfoJQqdgNuA2YAPwGJ1n9nALcDjUo6rkgbQzDGF/4Cni+mPAT4AdgN7AWGldZmjx49lCuwaNEiBaj777/fbClOwfPPP68Adc8996iQkBAlIio0NFR98cUXZkurlkyYMEE1atRIdevWTQHqxRdfNFuSxmSAaFXCc9VWj+Bh4GfgWWCnUiq7LAZGRNyBORjupVhgh4isVEr9UajaS8ASpdRH1jwHa4GwspzHWencuTMvvfQSXbp0MVuKUxAUFERoaCgrVqwgO9v4KcbExBTM+9YpPy8nKSmJhIQEunfvTvfu3WtUSGVN2bEnQ9lQpdT3RfZNVErZjJYmIn2AV5RSg63fXwBQSr1RqM7HwFGl1Exr/beVUjanhTjzYPEff/zBTz/9RIcOHejfv7/ZcpyOkrK8hYaGcvz48aoXVI1JTU0lPT0dPz+/goi3Gtvs3buXhx9+mK5duzJ//nyz5VQ65V1ZnM9UERlUqLFnMdxDpREMFB5tibXuK8wrwP0iEovRG3iiuIasq5qjRSQ6ISHBjlNXTzZv3szEiRNZvHix2VKckpKyvJW0vyZTt25dAgMDtREoAxcuXGD37t0sWLAAd3d3NmzYYLakKsMeQ3Ab8LqI9BeRSKAX9hkCe7gPWKiUagYMAz4XkSs0KaXmKqV6KqV6NmrUqJJOXfW0b9+eiIgI+vXrR0pKCnv27OHw4cNmy3IaSsrmprO8aSqDbt26sXPnTkJCQrBYLDVqMoI9K4vPichtwEZgJ3C3Ks2fZHAKKJxctpl1X2HGYQwoo5T6xbqCOQCoVoHuKosBAwYwYMAAwEgmPnToUAYPHqxXytrBs88+S1JSEh4eHgVjBKCzvJXEG2+8wV9//UXTpk359NNPCQ8Pv2ylseZKfH196d69O4cPH8bd3d3loo/aosQegYikikiKiKRgzPppA9wD5O8rjR1AaxFpISIewL3AyiJ1TgA3Ws/XHiN8hfP6fsqAv78/Xbp0oUWLFmZLcQqSkpJISUnh/vvvJzQ0FBEhNDSUuXPn6oHiYli9ejXz58/nxIkTnD59Wq+5KAMeHh41ygiAHYPFFWpcZBgwC3AH5iulIkVkOsY0ppXWmULzAF+MJDjPKqX+a6tNZx4sTklJ4eLFi/j5+bnUisWq4MKFC6SlpeHv74+Pj4/Zcqo9a9eu5fTp0wwcOJA6derg4+ODv7+/2bKqNfv27WPp0qV07tyZu+66y2w5lY6twWJbawDCSiqzlgvQzFYdR2zOvI7gtddeU4CaMmWK2VKcmnXr1qmoqCgVExNjthSNC7F48WKF8UKqbr/9drVhwwazJVUq2FhHYGuw+N8i8q2IPCgiHUWksYiEiMggEXkNY41B+0o0WC6Pt7c3QUFB+Pn5mS3FqZk9ezYTJ05k7969ZkvRuBCdOnVi2rRp1KtXjxUrVtSovMU2XUNW10040BcIwshf/CfGVM+lSqkqz9zgzK6hwuzbt49hw4bRvn17/vtfm94wDfDxxx+zc+dOIkH9Y0kAACAASURBVCIi+OWXX/j999+ZNGmSXpBXAuvWrSMzM5OGDRvy+eef061bNx599FGzZTkFO3fu5MSJE3Tr1s2l0qKWyzVUXTdndg0VZs+ePQpQV199tdlSnIK77rpLAWrJkiVmS3EKWrRooQD11ltvKUDdcccdZkvSmAzlDDGhcSDt27cnJiamZgW2qgATJ07k5ptvpkePHmZLcQpuueUWTp8+Tf/+/YmKitKz0+wgLi6OuLg4mjZtWuPyhDh01pAjcGbX0Jtvvsk333zD5MmTuffee82W47SkpKSQmpqKv7+/nn2lqTRmzJjBCy+8wM0338zo0aPp1q0b3bt3N1tWpVHREBOaSiImJoZdu3Zx/vx5s6U4Nf/85z9p1qyZDtWhAWD9+vVcc801HDhwoELtBAYG0qNHD3bt2sX48eNZsWJFJSms/pRqCERkmYgMLy70g6ZsPP/880RHR3P33XeTlJTEpEmTeO6558yW5RRs3bqV1atXk5CQQIMGDQgKCqpRycXLSmZmJnl5eZw/f57Vq1ezZcsWsyU5jFdffZXo6Gjef//9CrUzZswYoqOjmT9/PmPHjqVbt26VpNAJKGnwIH8DbgIWA0cw8hG0Le0YR26uMlgcFxenANWkSROzpTgFgwYNUoDLze12FJ6engpQ69atU4Dq16+f2ZIcRlRUlBoxYoRasWKF2VKqNZRzHUG+odiolAoHugPHgY0islVExohIbYdYpxqAv78/c+bMYebMmZXW5uLFiwkLC8PNzY2wsDCXcp307t2b4cOHU1lBB135XgG4u7sjIgQFBTF8+HCuu85mdHen5pFHHmHVqlXcdtttxZb/+uuvPPjgg5w965IhzCqHkixE4Q1oCDyFkb94JTAaeB/40Z7jK3Nz5h7BkiVL1LRp09TevXsrve0vvvhCeXt7F6yMBJS3t7fO4FUMNeleWSwWsyU4nF9//VXt3btXZWdnF1ue/zeeNGmSzXaee+451aRJExUVFaXi4+NVUlKSI+SaBjZ6BPYYge+AP4AXgKAiZSU27KjNmQ3BqFGjFKC++uqrSm87NDT0sgdb/hYaGlrp5zKbTz/9VHXv3l198MEH5Tq+Jt2rmkBAQIAC1KlTp4otX716tXr66afVjh07bLYzYcIEBaiePXsqQI0bN84Rck3D1vPannUEs5VSP5TQmyh+lZqmWO655x7at29Pp06dsFgsrF+/nry8PEaMGFHhtl09aYvFYkFEEBHi4+PZtWsXN998c7nacvV7VRSlFBaLBYvFnZwcUAry8owNQATc3Y2tTh1wc6JpIUopzp07BxjTP2fPnn1FneHDhzN8+PBS23rrrbd45ZVXWLNmDcePH69RwQ3tSVU5spjdF4B9Sqkqd7o58zqCwuTl5VGrVi3c3d3Jzc2tcHuunsaxe/fu7N69m+joaIKCgiq08Keke9WwYcOCh4ozk5qayp13jsTfvz7PPPMKfft2pFWr9mzY8EepxzZoAM4WCmv27Nk89dRTPPXUU8yaNeuKcqUgPR0uXoTcXPDwgHr1oHYNG+Gs6DqCccAnGDGHwjHCRj8H/CwiD1SayhqGm5sbgwcPZujQoZRmjO0hMjLyihjqrpS0Jf8eubu707RpU3r27Fnu1Z+RkZHULuYpkJqa6tSDxhaL8bA7ejSdTZs28n//9yMZGe7WMotdbaSnO1KhY3j88cexWCzFGoHt2//k+utvZsiQW9iyZSs5OZCWBnFxkJhoGIbSyMyECxeM+gkJcPo0nD9v7EtNdcAFmYA9rqHaQHulVDyAiAQCizBSVm4GPnecPNfiwIEDXLx4kTZt2rBq1SoOHDjAiRMnaNGiBZGRkRVKsBIeHs7WrVv58MMPAaMnUNE2qxO7d++uFIMJxr166qmnrljYl52dzZQpU5zunuXmQlKS8RBXCurUqcdnn63Hzc2Nli3bcORIHm52+nuysgyD4kzuoeKuLS/PuCc//bSDLVs2AtChQ1d69DBmTykFKSnGg7xuXfD3h/ffn83+/ft55JHHaNGiMxkZRjvF/eyysi59FgFnX+Buz5+7Wb4RsHIWaK6USgRsJvUUkSEiclBE/hKR50uoM0pE/hCR/SLypf3SnY/HHnuMa665hhkzZhAREUFMTAxKKWJiYoiIiKjw2+icOXMKBn+OHz/udA+00sgfI/jtt9+YNm0a3377bbnbSkxMLHa/M40TpKcbb6inThlvufkPLE9PT66//hb69bsJEbHbCIDRRkaGgwQ7gPXr11O/fn3GjBkDGPqTkiA21ugddezYjV69BhAQEEi3br2vOD7fIJw8CcuXf88nn8xl0aKl3HhjL6ZMeaJYI1CUxMRL4y3Oij09gh9FZDXwH+v3u6z7fIDkkg4SEXdgDnAzEAvsEJGVSqk/CtVpjTEbqa9SKklEGpfzOpyC1q1bk5yczIIFC0gv0gdPT093yrdRM9i3bx/Tp08nPDy83Jmk/Pz8uHDhwhX7Q0JCKirPoeTkGG+jqamXv5VWJunp4CzjpAkJCSQnJ7Nw4UJCQlry6KNTySwUHL9du6v5+usf7WprzJinuOWWO6hVqza//bYdX9+6dh1nscCZMxAYCLWcNIynPbIfA0YC/azfFwHfWqcjDbRx3LXAX0qpowAi8jVwO8ZU1HwmAHOUUkkAZgw+VyVRUVFA8V1ZqNjbaFZWFtu2bePo0aM0btzYrlkSzsTYsWNJSEhg3rx5dO7cmWnTptG5c+dyt/fkk08yY8YMcnIudWore0wl/6Gdl2e4D2rVAk9PY3ZOUTIzDRePxXLpAV+7tvHGqpThqklPh+zs0s+bmHiOFSu+pFGjQK6/fjBPP/0Avr51ee89+zrc6emGZmdI23vvvfeRkpLDY4+NZcuW7Vg7BuViwIAhAKSkXKB16w74+dW3+9icHGPsoH5953QT2TQE1rf6jUqpgUBZ++HBwMlC32MxxhUK08Z6np8x8hq/opRaV8bzOB0hISHFzlqpyNvokSNHuOGGGwq+5+XZ7xd2BjZu3MjJkyfJysqic+fOFTICANOnT6dt27ZMmTKFEydOEBISUmljKhkZxkBiZjFpm0SMGSu1al0yEtnZxoOksjh9+iTTpz9Fu3ad6dv3Jv73v9XUq9fA7uOVMvQ3sP+QKsdiMTRevOjONdcMZd68lTRuHHRZHaUU69YtIzCwKU2aNKN2bQ8aNQostW0/P/9i3UilkZcH585BcrJh8D08Lp+Z5O5u3FuLxfgd5F9H4c/5hj8vz/ieP803L89or7GDfCY2DYFSKk9ELCLir5S6sh9dOedvDdwANAM2i8jVSqnLXE4iEgFEQPXvuttDZGQkERERl7mHKvo2mp2dTe/evdm2bRvDhg1zOUOwYMEC0tLSKi3EBBiDxiEhIfz5559cf/31tGvXrsJtJiUZD6iSyPdhO5J69Rry4IOP07hxEL6+fsyduwJPz7LlvUhNNQZQq2OvICvLeODmG89GjZpw0023XlEvOTmRv//9b2Rbu1E33XQb8+aVHFF069b/kZ6eRq9eA6hbt/xzaHNzjS0trdxNFIsj/xb2rCNYAXQDNgAFl6aUerKU4/pgvOEPtn5/wXrcG4XqRAG/KqUWWL9vAp5XSu0oqV1nXkcwcOBADh48yMaNG9m9e7dD3kZrAqmpqRw6dAhvb2/aty9f2uwDBw6QnJzMzJkzWb58OfPmzWP8+PEV1nb+vOtMKaxTBwICyuf3zn+brcy5+llZhhEt3NOaO/ct/vrrDx566Ak6drw8WmhqagrLl3/Byy8/RmBgU/r1u5m33lpYYvtDhlzNwYO/88UXG9m9exv+/vV54IFJlXcBFcTTE4KCSq9XErbWEdjzJ15m3crKDqC1iLQATgH3An8rUmc5cB+wQEQCMFxFR8txLqfg7NmznD59GqUU4eHhlfbgX7x4cY0yKtHR0QwaNIgBAwbw448/lquNadOmsWTJEoYNG8aECRNo06ZN5Yp0ATIzjRlJ3t6X3BxubpdPp8zNveTGyHdx5bs/wHB71K5tbO7uxneL5ZIbJDfX+Dd/ZbO7u3GOfHdJdvYld0lxs5k2b17Hzz9vIjX1AsOHj2LEiNEFZXXr+jFw4HCWLr00bdQW1147gODgUPLy8nj77Ze46qp21coQOJJSDYFS6jMR8QJClFIH7W1YKZUrIo8D6zH8//OVUvtFZDpGzIuV1rJbROQPIA+YrJRy2awtmzdvJisrq8C9MXXqVHbt2sUbb7xRbp/34sWLL3Mz5U9FBVzKGMyfP5/c3Fweeugh6tWrR7du3WjdunW522vdujW9e/dm8uTJl42tuAIZGemcOxePt7cvDRoE8NVX87BY8rj//rInr1fKcHGU182hlPEwL22Qu7xjJI89NoVWrTrw2Wfvc+zY4QJDsHPnViwWC50796RZs1C72po+/QPAGGyfNOlFAgJKH09wFexxDd0KvAV4KKVaiEhXYLpSqviYrw7GmV1DRbn55pvZuHEj69ev55ZbbilXGyWFS2jatCmnTp2qqMRqg5+fH6mpqSQnJ+Pv72+2nBKpDq6hH35Yy9ixwxkwYAgLFqylZUtjrOjoUSNek6sRHx/Hu+9Oo2nTEJ58cioA113XnNOnY9myJYbgYOcfVwTzXUOvYEwF/RFAKbVHRFqWX44mn2nTpvHkk09WKBNSSVNOT58+Xe42qyNjxowhPT290rOSpaWlkZKSgre3d7U2MGWhdm0PgoNDadSoCSLCffdF4ObmhsViuSIMiSsQGNiUGTPmXbavS5drCQ4Oxdvbh5MnjzFx4kiaNGnGp5+uKrGdnJwcatWq5ZLGsjTs6RFsU0r1FpHdSqlu1n17lVIVm79XTpy5R/DMM89w8eJFZs6cSb169SqlTVcPNudopk+fzrRp05g6dSrTp0+vcHvVoUdQU8jJyWH58i8ICAhk4MBhJdY7ceIoAwZcRfPmLdi8ueQhyM6d/UlNTWHXrnOcPh0LKDp06OoA5eXDkT0Ce+YX7heRvwHuItJaRN4HtpZfTs3liy++YO7cuWRV4pLQyMhIvL29L9vnSsHmiuPYsWM0bdqUa6+9ttxtXHfddTRq1IjY2FgCAwPx8vKqRIWaqiAxMYFnnx3L5MkPc/bsaeLiThZbLzAwmFWrdrJwoe0lSvmB+XJzcxg+vCujRvWvdM3VFXtcQ08AU4As4CuMAd7XHCnKVXn77bdJS0vDzxrn95dffmHv3r306dOn3IPF+QPCrjxrSCnFqVOncHd3JygoCBHh9OnTxUYQtZfz589z7tw5nnnmGebOnVuJaqsfCQnx5Obm0LhxkEu5hkSEO+64Hzc3N3r1aoqvb1327Uu5op6npyedOnUvtb3ff0/FYrGQk5NN27ZX4+PjhEuEy0mprqHqhjO7hory97//nffee4933nmHp59+utzt5OXlER4ejp+fH2FhYWzbto2pU6dyzTXXVKJa8/j888958MEHAcPl9dprr3HjjTfi6elJw4YNy9XmxYsXycjIoH79+tSqxAAx1cE1tHbtUt577xWGDbuHp56aRvfuASQlnWfnzgQaNAgwV5wDyMrKpH//Fvj4+PLDD4fJzMygW7eG+PnV49df48yWV2mYOlgsIm2AfwJhhesrpQaVX5IGDPdEeno6HTt2rFA7aWlpfPPNN/j6+nLjjTeyatUqxo4d6xKGYPHixUycOLHge0xMDBMnTmTu3LkV6vX4+vri64xBYewgMTGBQ4f207OnER6sceMgPD3r2J2TwNnw9KzD9u2XJkdkZWWSmZmBh4cxsUApxaxZr5CdncWzz75RIweDS8OeweLfgChgJ8ZcfwCUUjsdK614nLlHsGLFCtzc3Bg+fHilhn/Iyspi2bJl5OXlcdVVV3H27FmuvfZagiry+lBNcPRg+Jo1a5g2bRpDhgzhX//6V4Xbqw49guTkRM6cOYWfXz2aNm1urhgHkpWVRXZ2Fl5e3pf16pRSZGZmkJ2dhb+/ETiuVata5OXlcehQdrEuxfT0NB599C7q1vXngw++qbJrKAtmTx/NVUp9VP7Ta/K58847UUqRV8nByz09Pbnvvvsqtc3qQknTY2NiYnjkkUf4+OOPy9Xugw8+SK1atbjhhhvYuXOnS60srlevQZmCzDkrGzeu5PHHRzF06N18+OF/CvaLCF5e3nh5XZpE8fe/v2pzfCQ9PY3Nm9cXuM5uuaUjycmJbNp0sEJxh5wFewzBKhGZBHyHMWAMgDUxjcZOlFLcdttt5ObmFvQGMjMzSUpKwsPDo9y+blenpEitAJ9++mm5DIHFYuHzz43Eem+++Sbbt2+v1GB2mqpBKQt16/rh61uX8PAbOX8+gSVLNuPnd+XU7Mcfn2Kzrbp1/ayzigwPSULCGZKTE8nJsSPutwtgj2voWDG7lVLKlEVlzuwaKsq8efOIiIhg3LhxfPLJJ+VuJz4+nk2bNtG8eXPq1KnDb7/9xrXXXlvhUM3VgcWLFzN27NiCCJJgTI8dPXo0ffv2ZezYsWX2+ebl5fH111+TnZ1dkNmqsqgOrqEtWzaydesm+va9ib59b+TRR+/ixImjREUto3nzFuaKcxDXXNOEc+fi2b79NBkZ6bz55gu0aNGGZ54p3wTHuLiTuLu7ExAQWG1mWpnqGlJKueYvpxrg7+9PYGBghQct9+7dS3h4OIMGDaJbt268/fbbvPnmmy5hCMLDw1m5ciVLliwBKicXs7u7u0tNry3K9u2b+eijGdSp40XPnjdy6NABjh79gyNH0gvyGueHSs5PelO7thFltGlT50ys8tln6wChXr2GnDx5jDVrltC1a68CQ3Dw4O/Ex1/gqqu60aCBN6UtG3HlsZXiKLFHICLPKqXetH6+Ryn1n0JlryulXqwijZfhrD0CpRQWiwU3N7dKn7WwZ88eZs6cSceOHWnbti3r1q3j7rvvZujQoZV6HrNITU3l+PHj+Pn5ERpqXwAxe4mJieGzzz4jODiYcePGVbg9s3sEWVmwYcNmoqO30KbN9bRs2Y+TJ/eTl5dD06Zt8fCw/QQMCIBWrapIrINITDzH1q2bqFvXn+7dh3D2LDz8cAdiY//kzTd/p3nzjvj5GW/X9eoZkU7j4k6yYcMKmjdvwaBBl2f3y8szsrYVjrDq5WVEZBUxorNWBY7sEdgyBLuUUt2Lfi7ue1XirIYgMTGRhg0bUr9+/RITp2vs57///S9r167lu+++4+TJk2VaSJeamsqaNWto0KABXl5eXH/99fTt25ctW7ZUWJcZhiAry0iTmJRU8TzGItCjh3Pk3l20aA5r1izhgQcmXRZ+GowH9unTxgbw/vt/49y5GCZOXEBQ0KWJAbVqGbmGDx5cz4QJQ7juupuJivovn332MXv3/srw4X8nMNB2z7pNm6rJ5maWa0hK+Fzcd00p5A8SVxd/o7Nzzz33kJJyaRVpWcJvx8bGct9999GuXTvWr1/P1KlTCQsLc6TcSicrC86ehZSUyjU8ShnGLNAJIjAfO3aI7ds3M2TISL78ci6nTsUwatSjZGc343yRYPZPPFF8vubcXCPnQlJSMDffPImmTduyfz/89NN/2b59GR06DC3VEPz1F7RrB35OPLlI9wiqmHz3EMC+ffsYM2YMbdu2ZfHixeVuMyMjg7y8PLy9vcnOzubChQt4eHhQv779yberM//4xz/w8fHh+eefx8fHBzAWhKUVEyTfnvUFMTExPPfccwQFBfHuu+9WqtbiegT5eWnt8QhaLJcSsHh6Gm4JMPz4qalGPtzMTMMAlMTp04dJTU0gMLAV/v6N+eGH+SQkHGPgwHE0ahRWqgYvL+jc2T69ZnLy5DFOnTpBcHBLHn30Hvbv/5XXXvuFunUbc/jwLzRp0opWrYqmSbePPXvWkZgYS8eOgwgMtG9eTLNmxhiLozLEmtUj6CIiKRhv/17Wz1i/25UAVUSGAO9hJKb5RCk1o4R6dwFLgWuUUs77lLeDwgvJcnJy2LlzZ4XXFbzzzju89NJLPP/884SGhvLoo48SERFR7jn21Ync3Fzee+89lFJMnTq1YH/hfM+FKWndQWFCQ0P5+uuvK01jUfJz6iYmGg/1/AW9tWuDj4/xsPDwMPzOOTlGnaQk43NlLP5duXIGP/44nwkT5jFo0Hg2b17IgQM/0anTTXYZgowMOHOmYg8dR6MU+Pq2oFGjFpw5A337TqBDhxHUrx/M77//j6ioh+nf/8FyG4KuXYeU+ZjYWOO+BQQYxrROHePhnW9Q3d0vZWcrmrxe5NLgfeHB/Ly8S599fR33NynRECilKuTDEBF3YA5wMxAL7BCRlUqpP4rUqws8BfxakfM5I+3atWP79u0FcfArknLS29sbX19f/Pz8aNSo0RURSZ0Vi8XCRx99VLDeIp+S1heEhJQtCUl2djb79+9HROjateIhh2Nj4c8/iy/LyTHe6JOTK3wamwQGXkXr1r2pV68JAAMGjLEaAfsH2k+eNPzelZz+ocIoZdy/kycNQ5rPwIGXBvobNQqjb9+/0bp1n4J9UVFjiY5ezsSJC+nZ88qcWhcvJpGZmYqPT328vOqWW19urmEMHIEjO/gOCzpnT/J66/5ZwAZgMvDP0noEzuoaio2NJSIigpCQEKKioq4oL5pyEoyHe0Vj6rgqFblfOTk5ZGdnU6dOHU6dOkVoaCjNmze3qzdRGtu2gaukgfDwgCZNLhmEklxF+W+wmZmXejXZ2ca/np7G5uFhDMyKGG+5Shn/5qeoLDyF1c3N2CwWo3eV/5ackGD0tHJzjWO2bFlMcvIZeve+h4AA2y8As2ffxy+/fM3jj39J375XrsJfuXImX331PCNGTCY8/E1SUhI4fHgbder40rHjwIrcxkqjfn0YPLj8x1c0xER5CQYKBwiPBS7rp4lId6C5UmqNiEx2oBbTSUlJ4fvvv6d9+/bFlk+ZMuUKd0d6ejpTpkypsYbAVg/p3XffJT09ncDAQM6ePUvTpk2ZOXOmXfdq9erVjBw5kjvvvJOPP/6Yrl270qRJE0dfjunExx/h2LFd9Op1t11TmLOz4cQJY4NLCegLvztWljurPGzcGMXBg1to1epa8vJySEkxxkX8/K6MsDpu3EeMHTuHOnWKf9v38PCmYcPm1K1rHHv8+G7eeus2OnYcVG0MgSMxbZKYiLgB7wAP21E3AoiAsnf9qwvNmzdnzZo1lyVAyc7OZsaMGVgslhLfRivjLdUZKfrGX3RWUK1atXBzc6Nx48bEx8czcOBAuw2mxWLB29sbb29vGjVqxO7dux12HdWB+PgjXLyYyPvv30d8/BFmztxLSMjVZW4nJ6f8SeYdwXXX3cdVV11Dw4YhfPnls2zbtoQnnviKHj1uIy8vF09Pb9zdjUecj4/tjIBDhjzBkCFPFHwPCAila9dhtGhhypyYKsc015CI+ANHgIvWQ5oAicBtttxDzuoaKo7s7Gw8PT2pVasWwcHB5Y6yOXnyZHbu3Mnrr79O7dq1mTRpEp07d2bevHk2j6vOlBZ1tOjivAkTJlSLBDPVwTU0a9Y97N//P5588huuvvom3n77TqKjlxeU//vf+2nWrIOJCiufb755iX37NnD33a9y4MBmVqx4g9GjI7njjoqve42PP8Levf9l4MDx1KpV/mRIFcVZXUM7gNYi0gI4BdwL/C2/UCl1ASjow4nIj9gxRuBK1K5dm5deegkvLy9CQ0MZN27cZWks7U05uWvXLn744QdSU1Px8vJi+/btlZpsxQxK6yG5ubmRl5dHv379SEtLc4kZUmVBKVWieyctLZmLFxNRyvDZNGnSmpYte9KyZU+CgtrQoEGzqpRaJYwe/S9GjzbCiB869DNeXnXx9PQpKN++fRnR0Su49tqR9Ox5e5nanjy5Ezk5mbi712bQoPGVqru64LCnhVIqV0Qex0ht6Q7MV0rtF5HpQLRSaqWjzl0dOX36NN999x3BwcHcfrvxQxQRXnvtUlCsuLg4nn32WQCaNWvGjBkz7HJ3zJo1i7Nnz9KtWzdq167Ntm3bqFfPdle4umPPrCB3d3d++umnCp1HKUXz5s3Jzs4mPj7eaZKWvPrq9Rw8uIWRI1/mnntevazsmWe+Izs7s2D2S3j4m4BxrRkZKU5zjaVx8uTv1KrlSWBgS9zcLk1yHDXqNUaNujzYXEzMHn76aRGNG7cs1hB8/vk/2L//f/ztb2/SufMtgHG/0tKS6dhxIHv2fE9IiPPH7ioJh742KqXWAmuL7Hu5hLo3OFKL2Rw+fJjHHnuM/v37FxiCokyePJnAwEBq167NHXfcYXdC9auvvtzf26tX+eZOVyciIyOLnRWU30OKjIxky5YtvPTSS/Tt27dMbS9atIiFCxfywAMPMGbMGM6ePUtOTg45OTmXTVGtzhw8aITDWLlyxhWGoE4dX+rUuTJy3Lffvsq3377KyJFTueee6VWi05FMndqLrKx0Fiy4SJ06Pjbr9ux5B40btyQsrFux5fHxR4iJ+Y2srEuLFJ95ph2nTx/i3XcP89xzTh6AqRQctAZOU5QmTZowceJEbrvt8jnM+/fv55dffiEzMxMwEqbcd999dhsBVyU8PJzp06cTHByMiBAaGnrZ1NDdu3ezbt06/vrrL7p27UqnTp3sbvuvv/7ihx9+KHAzHTt2jPj4+GIzV1VXZs06QtOmbbnxxkfsqp+ensL+/f8DcImUlUopmjRpTZMmrfDw8OK77yKJiGjE2rXFrxRv0aI7AwY8TGhol2LLx4z5gDfe2E2HDpdmCHl718PLqy4ZGTaWcbsIOnm9ybRq1YojR45w6NAhcnJySE9Pp3Xr1gWLzOxh1qxZADzyyCPk5OQwe/Zs6tSpwz//+U9HyXY4ixcvZsKECWRkZBAQEMCsWbMuc5NFR0ezbNky3njj0rKUnJwcu8ZGjh07xtGjRwkLC+Oqq66qVN3VYbD4m2+mkJQUx913v0pAQAiLF09m9eq3AAgN7cqMGa43LXgvpAAAIABJREFUS2rJkql8992/uPvuV8nOzuDQoa2MHv0v2rXrX+428/JySUtLIiEhht9/30jjxi3o02d06Qc6CGcdLNbYQdeuXQkICMDd3Z0XX3yRpUuXcvvtt/PWW2/Rys54wC+99BJpaWmMHTuW9PR0pk6dSuPGjZ3WEORPHc2wBt05d+7cFQHlevbsyWlraMlmzZqxefNmu/NAt2jRghYtXDfNxo4dyzl16g+GD38GgMzMiwVlrjonfsSIyQwe/AReXnV59927OXBgM+npFwrKz507wZEjO2jQIJjWrXvb1aa7ey2+++5frFs3G4Du3UeYaggciTYEVUR6ejqJiYn4+PhcFgxu6dKlBZ/zI2CuWLGCoUOH2m0I/v73v5OamoqPjw+1atXixRdfdOrBYnsX1w0bNozz58+Tl5dXoVSTU6ZM4cyZM8ycOZOAgCsXI1U3jh/fw7Jl02nX7npuuGEMtWvXoXbtS7Eg7r33DS5ePF8wO+jee9/grrtewdvbr9R8BM6Kt7cfYIT/DA//N7feOplmzS65Cw8c+Ik5c+63hp640hCsXDmTzMyLDBny1GUL0rKzjZeR4OD29O7tmkYAtGuoyli2bBl33XUXd955J8uWLSux3ieffMKGDRsYM2YMQ4aUPfCVK+Dm5kZxv0sRKfBv//zzz/z222/069evzJnYVq9ezV9//cXQoUNp27ZtgXvu8OHDdhvfkqgK19DPP3/FBx8UzMTmuefW0rVr6UmIEhNPMWfO/Xh7+/PMM8tLrV+dOXPmLyIjbyQ4uAPPP/99qfUPHvyZNWvepl27/gwb9vQV5U88Ecq5cyeYPftYQWC+6OgVfP/9LLp0GcKwYf8wdQ0BaNeQS+Dh4UFwcHCpSerHjx/P+PGuOVfZXuyZOrpkyRJmz57Nu+++y549e9i1axfjx4+3a9B40aJF/Oc//6Fp06a0bduW1157jfT0dKfoDQC0a9efJ5/8hq++eo4LF+LtGszMzs5AKcUff/yIn1/5e0/VhYyMVM6dO4GPj5ER5s8/N/N//7eQdu36c8MNV+ahbtu2L23bljy77NZbnyM19Ry+vpf+f6amnuePP36kYcMQ042Ao9GGoIoYMWIEsbGxV+wfN24cK1asYOHChYwYMaLM7WZmZnL48GH8/f0LHpT79u0jIyODnj172u03r05ERkYWm7C+8OK6vn37smDBAt5++22Sk5O5ePEiffv2tcsQDB8+vMAIANx335VByKozDRs2o0+fUVxzzR24u9e+Yl3Ajh3LsVjy6N59BLVre7Jjx3e8885IAHr0uI277361uGadiubNOzJ79nHA6DmeOXOY//u/BYgIubnZZGZeZMCAh6lb1/aLVz633DLpin1dugxmypSNNGrUgtOnD5GSkkDr1r0vW7PgKmhDYDJpaWmcP3+e8+fP4+3tTWBgIPv37ycrK8uuxDJHjx6lc+fOtGvXjj+t8Y/79OlDWloaKSkp1K1b/pC6ZhEeHs7atWv58ksjq1RxCetHjRrF5s2bmTNnDjfddBPDhw+320X00EMP8dBDDzlEe1VSq1bxax4+/ngsaWlJzJt3ntq1PTl6dGdBWefOdxMQ0JVz54y8A0oZET+9vY2tdu3qn5AGjGsvHFa7Xbv+RER8QlBQW6KiHiY+/gg9etxWYAiUUuTl5ZKXl4Onp30h2hs0CKZBg2AAxo9vQFpaEh9/fNYlelRF0YbAAZQlr8CHH37I+++/T0ZGBhkZGRw/fhwfHx8GDRrEpk2b7Dpfhw4dLpsG2b1794KsZc7Kp59+ysyZM/H09CxxIPihhx6iZ8+e9OrVq8Sorvbwyy+/EB8fT9++fSs06FxVbNmyGBE3unUbhrf35dOMLRZo0+YxUlL82bDBl7g4iI19lvr1/7+98w6Pqtr68Ltn0hMSSAJITZAqRUSpF6VLsSIiAhFQEYUP9IIFUCyg4I3dqwiKlIsQUJGrooCAAldQRLoUqSGhQwoJIYVkkv39sc8kk2Rm0qaFnPd55pmZc/Y585s9c87aZe21niU9PYRFi4wsWmT73OHhMGOGa3LwOpI6dZrl5yLu1WsMqamXqFYtjKtXVSrJ7dvPsXnz3/j61qZ16za0aQOdO0NICOTl5XL48Fb8/IK48cbbrJ7/xhvbk5FxhdTUbDIz1Xh9JVl7WCr0yWIHYytO/ujRo/n1118ZMmQIL71UPBCWlJKMjAw2btzI4MGD6datGxs2bHCl9ErF1atXuXz5MoGBgYSW8a4VGxubH1rCx8eHnj17snnzZjZu3EjPnhVzr3TFZPGECQ1JSjrNtGk/89130RgM7Wja9G1OnlQ3PXs5jL28TAhhIjDQi8BALwwGFVE0IwPS01WOgD59YPRo2+fwBI4f386WLUto1uwfdO06vNA+KVXS+nXrYOPGgvwF1oiIgDZtMvnxx274+RmZPv0PMjLg6FGVYCYjA86dU7kQsrMLQnALoXpQAD16wPDhzktRaUafLK5E2HJ9XLp0KZcvX7YZDkEIQWBgIPfccw9ZWVmljgdTkaxmlZm5c+cyefJknnvuOaZMmcKBAweoUaNGqbKMDRw4kP3797N3717atm1L165dCQkJqRQ5nrOzoU2bp4mNrck333ThyJHFQF327y8oEx4OjRpBWJjKo3vDDSpFZng4vPdebw4f/pUJEzYWW1Nw9iy88AJs2gR3362O81ROnz7A+vWfkJ2dSdeuw7lyJYG9e3dw9GgL/vrrRhISVDkhoHlzaNJEPQcHw8WLymAfOADx8RAf7w/sICsLpk61/7l+fqouL19WhhNg9WpleEaPrnw9KTO6IXAwtqJmpqSksGfPnmKt1++//57vv/+e++67j4EDB5YpIFhJMfsrMx988AFHjx5l/PjxVieAzeskNmzYQNOmTRk7dixDhw5l+fLlds8bExPDsWPHALUO4e2332bmzJkO1W4yqV7BsWMFeYuNRpVzNjQU2rVTrbvUVLXv4kXVks/MVFm+Ll1SN7Dg4II8tkajummdOwcqmZ+ZAAIDTXTp4kWrVtCwoSQ0NBMvL+98T5eLF2OZOLEx4eER9Ov3NC1bdrcagbRePejWDf73P1iyBJ57zvmt3PLSpElnHnpoPrm57fnkE9izJ5j09Lvy9wcG5tKunYH77hM0aFD42ObN1ffMzobDh5VROHpU7TMY1JBPo0YQGala/bVqqVzBvr7qd4CCjGzx8fDBB7B7N+zfr857223KiNaooQxHaTH3NvLy1H/h2jX1GRkZ6jkwUA1ldS7dergyoQ8NOZiS4ugX5fXXX+e1116jQ4cONGnShAEDBjBixIgSPycmJoZRo0ZZnQfw8/MjODiY9evX07at9dgqnk6vXr3YtGkTGzZsoE+fPlbLmP3/Fy5cyOLFi+nVqxevvmo1piHg/HSgy5bBp5/Czp3qQraFEGpS1sIpqtQYjcqYNGoEHTuqlm7NmgU37OzsLEaN8sfb25cvvlDxq1avfp+lS9Uq4yVLrtmcZAaVCnLyZKW/R4/LhIZ+ROfOD9KgQeljOTmLvDzVazl4EDZvVjdhSwyGLMLCTpOQ8AywgWXLchwWaXXVqrdYvfo97rtvKnff/WyhfRcvqt/+zz+LH+frq34bKZVRMJnUUJw5Esq1a+o3FaIgLac9OneGbdvK9x30oSEXMmvWLB577DFyLFI52csrcO+991KvXj1++eUXli9fzg033MCqVavYtWsXOTk5nD17ttiQj/mGZmsyOCsri6ysrGJDVJWJF154gcGDB9Oype0EKgMGDODMmTNkZ2cTFxfH9OnTWbhwoc3hMXsrlocOHQqo0NblZeNGMEfFrlMHWrRQrcmAAHUTu3pV3bz27VNGIChIPUJCoGlT9ezjo27sQqgeg4+Pep2To84ZHn6ZnJxUqlevU2g1sZm8PBM+Pv6F9tWu3ZjAwBo0b367XSMAavho4kR4+23YvLkGMILffjtPx47qe/j4FKSmlFK1VLOz1U0sNVW1Xk0m9ZydDdWqqUdgoLoRGo3qu5hviOafw8enIL+xl5d65Oaqc5pzIv/9t6pDM/7+0LgxtGoFHTpAnTp+mEwNePnlM8BNhYxAdnYm7733AAaDgSlTCgVELhV5eblcuZJAaurFYvtq14ZJk+D0adW7OHhQ9QRTUlS9mNHiSgKFtxedwzDPP5jrIyBA1Z2vrzL+zkDvETiB6OhoXnzxRaDA9bFu3bps3LiRHj160Lt37/yylmP8oaGhPPPMM3z88cckJiZaPbfBYCgxemT9+vXZsWMHYWFhlSqiZnmw1soXQiClzK97UEbAWk/NkkWLFvHoo4+WW8u2bfDjj1C3rhqft8W1a+omF1A6L8ZC/PzzZyxYMJaePUfz5JPzOXx4C3/9tZ7WrXvTsmWPEo9PT08hISEOf/9gate+0e53mT8/m4wMz3KNCQ2FZs3gxhtPUa/eESIibiIsrOREOyZTDiNG+GAwGPnii6z8FJYAhw79j3ffvY/WrXvz7LPWV/1fvXoZk+kaQUGheHn58PvvX5KUdJp77nm+kMHJyEjN9+SSsnDPMCtLGUIfH/X7Q4FhzctTN3t7Q3H6ZHElY/z48flZxwYOHAjAjBkzmDlzJkKIfENQ9CaWlJTE9OnT8bMzsFiSEQgICCA6Ovq6T8a+fv16pkyZQmxsbLFWvrlxEx8fzyOPPFLiuYKCgrh69Some+4lpaBLF9WaK8lryLd4Q75MhIbWJyxMLR48cOAXvv12JlLmlcoQ/PbbMhYtGk/v3k8xatS/rfYqQH2XTp18OHZM8t57U0lLM9K9+0T8/WsVuln5+6vv4+2tejSBgepmZ27RXrmivJjS0wsMoLd3Qas/IEDVWXZ2Qe/CZFLlhFDnNA+tNG2qelhCwMKFb7Fs2Rwee2w2ffuOB1Sr3WTKwcen+PXj5eXNpEkrCQ+PKDZclJV1lczMK+TkZBU7zkxQUIEjQUrKBT7+WC1CbNmyB40bdwBUtNKJE5sQFtaAadN+xmAwFnLvLY/hdxVONQRCiP7Av1EZyuZLKaOL7H8WeAIwAQnA41JK+822SsCFCxcYPHhwoZtxjx49mDFjBt26dcvfZm2oQmWRsjPAbAej0cioUaOYNm0aI0aMqLReRFJKVqxYQXBwMP369bM6zpuSksLevXsr/FkBAQHMnTuXqKioSpG5q0+fp+jTpyAHQevWfcjLy6V1a+vzKADnzx9lx45vqV+/FWFhDWjQoA0bN37Opk3zWbAg1WZSF4MBmjcXdOqURmzsDnr0GECLFrXKpLdu3TIVL8N5m9O6dR/CwyMBlVhm4sQm1Kp1I//+9wmrx3TsOMjq9ltu6c/8+ZetxreyRkhIbe6++zmSk8/mGwFQq5uzszPJykojNnYnc+aMJDp6L9Wre36jzJnJ643AUeBO4Awqh/EwKeUhizI9ge1SygwhxDigh5TSboi/yjA0VLNmTRITE7l48SK1atm+cGwFVysPAQEBjBo1isWLFzttMtRVZGZmEhAQgI+PT6EczpbMnDmTV155pUKfYzQaWbx4sUPrxt35CJKTz/HJJ48QFtaA//u/xQAsWDCOn3/+FIDlyyWpqZeYNKkJJlMOCxemWp032LBhLnXrtsiP5285lOKJJCWd5umnI5BSEh4eQf36Lcs1F2CL1NRLrFjxCocPb+Hddw8V2rdjx7ccO/YHd9/9HP7+wSQkxPH552M4cmQrU6as5ZZbHBM80plDQ850DusIHJdSxkops4EvgUI5GqWUm6SU5rvWH8B1kVW7rtYMWrNmDRcvFp9cMmMZRK2izJs3jzVr1ticDK1M5OTk8NBDDxXL5mYmJibG5uR7WcjLy6tUBrI0nDixnUOHNnHpUmz+tsGDZ9Cp02BeeWUzACEhtXjjjT957LHZeHn5kJWVzu+/f8maNSrBUUbGFRYv/iezZvUhPT3FpUbAZMph/fpPuHTpZJmOCw2tT0xMLm++uYvExHguXz5frMzFiyf4/vtoNmz4lMuXz5OXl8fVq8mlOr/BYGTjxvn5YaktOXlyNz/88DZff/0yPj5+1KvXgoEDp/Hcc9/TpImTZncdjDN7BIOB/lLKJ7T3I4BOUsoJNsrPBi5IKYs5dQshngSeBGjYsOFtJU36eQJ9+/Zlw4YNrF27lv79+xMXF0dCQgIRERH5vYSYmBhGjBhR4V6B2TW1NOGbrwdsueiWFXO9LVu2jKVLlzJs2LBSue7aw9k9gsmTb8bLy4dp034mMFCtpTh//ijnzx+lVateeHv7cuLEDkymbG66qVsJZ1MkJZ1mwoSG+PoG8vnnSWRmprF69bukpFxg3Lj/5JczGwVr+ZAdxZYtS5gzZyTh4RF8/HGczXJSSqtDeSZTNpcvnwPIDydtZt++dURHF26d33xzP/r1m8C2bV9x66330qXLEJuf+eef/yUtLYnevccU2n78+J/8+OM7jB79aamD3JWHytojKDVCiEeA9sA71vZLKedJKdtLKds7IxZMTEwMkZGRGAwGIiMjiYmJqfA5u3fvzkMPPZS/WvW9996jY8eOfPXVV/lloqKiGDt2bIlj0/b2W7qm2uphOKrn4Yx6Kg+2Fu2VBct6i42NZe3atRw5cqTC53UmJlM2p0/vJz5+L/7+BcEEP/jgQd55517OnTuMwWCkadPOpTYCAGFhDejZczSDB88gNzeH4OBwhg2LLmQEFi4czxNP1ODPP23n0nAE5knwkjyBXnyxHSNH+hUKqAfmYHSRxYwAQMOGNzNgwERateqVvy0xMY64uL1s3bqUU6f22f3Mjh0HFTMCAE2adGTixBVONQLOxpl9vrOA5Zq++tq2Qggh+gDTgO5SSusDwk7EWatziw7HNGjQgPbt2xfz5pkzZw5du3bNd280uz6aKTrGby+kxKxZs6wumHLEMIorVzFnZ2eTl5dn03vKVr6ConVXlKCgINLT04vV25AhQ2jXrh1NmzZ1zBdwEkajN7NnnyI19VKhUMjNm99BjRoVm5V98sn5gBous9baDgtrgLe3r1U/ekfSpEknZs8+TUiI7bm1vLxc0tKSMJlyqFu3eb7ud965B5Mpm2nTfrZ6XI0adRg58oP88mfP/k39+i05c+Yg4eENqV+/lUO/y/btK4mN3ckDD7xsc0LeU3Dm0JAXarK4N8oA7ACGSykPWpRpB3yDGkI6VprzOnqy2NYwQ1hYGEFBQWWO4bN9+3aioqLo3r07CxYsKLOeisYOiomJYerUqZw9e5aaNWvy/vvvO+RGXdYV0xVhxYoVDBkyhCFDhhTqQZmxtUJ41KhRrFmzJn9NBkBycrJLvaeKDg39+OO7/PXXel544QebrpqOYsWKV7l4MZa+fcfTrFmXMh+fmZnG7NlRNGv2D+6/v3DQnaysq3h5+ZS4IM1VSClJTb1YyCNnzJhwrl5NonXr3tx++wi6d3dvqPHJk2/m9On9vPHGHzRp0qnC56uUQ0NSShMwAVgH/A18LaU8KIR4XQhhngV8BwgCVggh9gohVjlLjyWWQxy2xpqTkpKIj49HSpnf+i3NUEhCQgInTpzgwoULXLt2jcuXL5dJW1RUFHFxceTl5REXF1fmm1dUVBRffvklUkoaN27ssJufreEYRwzTFCUrKwtvb28CA623oqKiopg3bx4REconPCIignnz5jFnzpz8uktMTCQxMbHc9egoYmJeYP/+Dezfb72V6kjS0pL47bcYkpLK95skJMSRlpbAqlXRXL1a+H/r5xfkEiMQHT2A559vSXz8X3bLCSGKuWWOGTOPQYNe4cCBX9i3z3r6ytTUSxw4sJHz54/mb/v11y84ffpAxcUXoUePxxk06BWqVfP80OZVbmWxtdZkaSlN6zczM5PTp0+zadMmxo4dS58+fVweTjo+Pp5x48Zx8803Ex0dXfIBpcCVPQIwJxLJxcvL+R4rR44cYdOmTTRt2rTQqu/yULRHcPLkHlJTL3DzzX0rnNlq79617N27lnbt7qZt2+JNwxMndvD778sZNiy6XDftn376iN27f+Txx+dwww0Vy91cXp5+OpLExHgiI9sxefJqatSoU6bjz58/yr5966hduzHt2t1VbP+MGd04fHgLN9zQhA8+OMbhw1uYMaMbjRrdxnPPfVeqVcruolL2CDwVa4u4SktpWr/+/v40a9aMjh074uXlxblz54iMjEQIgdFoZNKk4omzHU1ERARr1qxxiBEw956sGQFHzT9YQwjhEiMAajhv3LhxLF682OHnbtSoHbfcMsAh6Q3//vtX1q37mBMndljd37hxB0aMeL/cLff+/Z/hpZfW2zQC33wzg+efb8nu3T+W6/yl4c03d2E0ehMXt4ekpNNWy0yffgdvvtmX5ORiU47UqdOM/v2ftmoEAB5/fC716rXk0UdnAyrhTNeuwzl//gjp6WXrvV9PePYqESdQ0s3caDTaDOZWFu+bgwcPEhwczKFDBYtP8vLy+PDDD7l27Rpz5swp9bnchb3eU/369YmOjr4u/PCbN2/OU089RadOFR/HdSYdOgwkJKQWzZrZTsLuTNLSEjl79u9CwyqOplq1MCZOXEF2dia1ahWPhZSVdZWjR3/DYDAWSjRfWho0aMW77+ZPU+Lj48+ECTHk5eU6PBdxXl4uZ88eJi0tkZYtuzv03I6myg0N2fNBt+d1UtoVul999RWLFy9m48aNNlfFCiFYsmSJU2+iUkpSUlIICgoqd+A5e3X166+/cscdd1REok3eeOMNtm7dytSpUyucMczVWA4Nbd0aw6ZNC7h06QRdu0YxdOibnD59kC+/fJEWLe7g3ntfsHsuT+PixRNkZV2ldu3GTl1LYA8pJcnJZzl//gitW1dsGM/ZZGRcYfToEHx8/PnPf9IrHMJEHxpyILNmzSKgSPSngIAAatSoYdf10LxCt6QJ4/Xr17N27VqbRgDUn9nZq327dOlCaGgoe/bsKfc57PWe7IXOqAgxMTH861//Yv369QwZMsRtaxUcwa5dqzh0aBOJiac4cEDlnz579hC7d//A8uVTuHDhuJsVlo3atRsTEdHWaUbg+PHtfPbZaLZsWWqzjBCCsLD6Hm8EAAICgmnU6DaaNevKtWueHRK+yg0NmVvhY8aMyQ/u5u/vT1JSUonHlsZ3ftiwYSxcuLDEcznD28aS0NBQqlWrRpq9BLYlYMtfPyIigubNm1dEnlXMQ1Hm3yUxMdElGdeuXbtGYmIiRqPRoVFbe/d+ipo1I/HzC6JtW7WitXnz26levQ4pKefZufM77rnn+VKdKyXlInv2rKZx4w40bNjGYRrdTVZWOmfOHCAy8lbi4vayefNCkpPPYDAYqVGjTqGIqrm5JgwGY6UIDmjmzTc9Oy6amSrXIzBjGXIhKSmp1H+ukmL39OnTh4iIiBLP48g4Q9ZYtWoVV65cqZAXzMyZM/HxKTzx6OXl5bQJYnuJY5zJtm3bqF+/PsOGDXPoeVu37sXw4W8xaNAr+VEqa9SoQ1TUO7Rt299qukhbHD36G/PmjSYmxn3DSXl5eaxc+Trz5j3hsJAlL710K6+80pmzZ/+mZcsejB79KWFhDZk9ezgbNswtVPaXX+YxeXIbdu36wSGfrVNAlesR7Nu3jzFjxhQbuinLXElJrXlrK3wtcaa3jRlHeNx069aN7CL5FENCQrh06RI7d+7kyJEjFVr8VhRXrlWwJDAwkLp16xbLJ+0sbr89ittvL1s9BQfXpEuXoWVemGTOFWAwqGdzWkSDoSAJipQqMUpursofYGtU02AwsG7dx6SlJTJ48OuEhlZsNfPy5VPzJ56zstKIiLiZunWbExvbnoyMVJo3LzwpnpOTxZkzB+3mDbCFwaByJ5gzpJUz0nu5UK7Qpvwc0p5IlZssXrJkCSNHjrS5357XkBl7vvM///wzvr6+xMbG8tprr7l1lWtFiYuLY+TIkWzbtq1Y0hZvb29MJlMxAxoYGIifnx/JyclWvzdg03i4eq2CMzBPFl+8eILjx/+kUaNbSU4+S3z8Xtq3v589e9ZQrVoYHToMsppApTz4+al0kL6+6rU5pWR52gKZmXDgQEEGraKsWzcbLy9fOnd+KD/oXXl56aX2nDy5i9de+zU/3LU9cnNNfPrpYzz11MISb6q+vhAcrDKaBQaq+ih8LpUsJzNTpb/MzFQGUQj18PVVx5gNqLe32m40qm3m5DlSqpzFtkZgf/nlc5YufZZevZ5kxIj3Sls1VtEzlDmQnj17Eh4ebjUVZGmMgL3WfExMDCNHjiQvL8/t7pVbtmzh1VdfJTAwkAMHDpSr1R4ZGcmpU6esZu6yzMlsSXp6Ounp6QCF5l3i4+N57LHHEELk9zLi4+MZMWIEjzzyiM26d0XvqWi6UCi98Sp6fO3aDXnwwVkkJ59h+fKp9OnzBOnpKWzb9g2hobVYuvRZcnNNLF6cQXLyOapVC8Pb2ze/1W6+8UBBli4hVIvdnNfXy0u1boOCCnIaOwp/f5UK8uhR68agXz+rwYPLxTPPfElc3B4iI9sBKjaPr28gLVt2x8fHv1h5o9GL8eOXFNvu51dwsw8MhOrVSzaCRqMyFMHBKudwRQgPV7mVExOL96j8/ILIyrpKSkrxsNieRJXoEZgv1Pj4+Pwbji1X0ZICl5lzBluWs7YN3JsUZurUqbz11lt2y5h1m+skIiKCu+66Kz9ej63JYldhzjnszPoraaW5t7d3IeMF6j8yduxYunbtyj//+c9ijgZ+fgFERY3n+PH9REWNIyUliYMH99Cv3wNs3vwTSUlJxMUdY9euX1m2bCsdO3bFaMeFPSsrk5Mnj9GkyU0uy0F97RqcOaNazebWr7VpAbOhMg83FX1tzscrZcHDXMZ8PEBy8nnGjWtETs41Fi1KxM8viNTUS2RmpjB//tP06vU4/fqNxMen4IYfGKgMo708v+4gN1fVmckEaWnpmEzZVKtWHRDFjLYQqk6g4HsUHbozD+f5+UG9euX2iJLjAAASiElEQVTXZa9HcN0bgvKElCjJGJQFdwxrxMTEFPKKqow4I3uYNRyV26Ao9epFsHVrnM39kyaNYNOm1bzzzn+4807rCXjMrFnzDePHP0S7dp3573+3OVhp2UhNvcz7779KXl4eb7zxidUy+/fvIjS0JvXqlc4hYtCgLuzZ8wcPP/wEV66kMGfOCjp1qsulS+cZMmQ0X3+9gCFDRvPWW/Md+VUqHb6+UKdsETcKUaWHhsoTUkJKSUREBKdOncJgMJQ4XGQPZ090WmPatGmV2ggA5ObmusR11Fm/z7lzxc+bmZmBn58/Qgiio+fj4+OT3+h4552XCA6uztixUwDYvv1Xzpw5yYMPjiI8vDa1a9elb9+BTtFaFv7+ex9ffKHCM0yZEk1QUDWuXcvC17dgvmPq1Cc4dGgvK1ZspX17NeF78OAe6tZtSI0aajXw008PZfv2/7F8+SZA9U4feugxbr1VRU294YZ6CCEYOvQJOnXqTtOmLV35Nd2CrWQ7rsDDOlWOpzwXurkVn5eXV2E3OWe7iVrDHcbHGbjCddRZv0+tWoWbblJK7rrrFl544TFycnLw9fXNv+jT068yd240H344nYSECxw9epChQ7uzcuViLl9OomPHO/jpp/2MGVO6NQfOpEOHO5g06XXmzl1JYGAQ8fEnuP/+Dvz0k0pYk5eXR506DQgLq0WrVmrsPzs7m3HjHmTo0O4kJydiMpn45ZcfSEi4wJkzcXz88VccOJDGbbf9I79OvvvuT/744yzt2nVm0KARtGlzm9u+c0V58cUnadRIcPasui5//30jd97ZkuXLP88vs2zZZ/TpcxN79mzP37Zo0UdMn/4M585Zj7nkSK57Q1DShV7UAhednKzIjcIVE53WcKbxKboqG5SnkMFJA7XONmrO+n2MRmOhRsTJk8eIizvGypWLWb/+u0Jl8/LyGD16Eh999CXh4bVp1qwVAwc+QpMmLfNb0NWrh2K0N5HgIoxGI8888wr9+w9CCMGCBR8QH3+CqVOf4MSJIxgMBubPX8WOHRfw91f/lbi4Y1y4cIaGDRtTrVoIXl5e/PDDbt5/fwl33NGXevUa5pc1U5kWjZVEfLxaQX7ypHKVTUtL5fjxv/n00+j8/0hi4iViY48wb97b+cetXfsNixd/zKlTscVP6mCq9BxB0WQmtjxCyhO22lVj3NaoSKhte5gnb6150DjzM509xxIeHl6qleWlISSkOo8//izjxk0tNrF7/vwZdu36jf79HyxxnUdmZgZ//rmF7t0r4C/oIrKzszl37hQREY2t3sCzs7PZv38nbdt2dFlEWU/i0KG9/P77RqKixuLvH8CVKymcPn2y0FDZmTPxJCScp0WLm/ON4urVK7h06Rx33jmQ+vUjnDpH4FRDIIToD/wbMALzpZTRRfb7Al8AtwFJwMNSyjh753SU11BZPFLK4nUE7vUWMmPNJdK8grqot1NpKM13sqynovVjfm+r/qx557iqHh1hxMyeRG+8McemT7mOTkVwpiFw2tCQEMIIfAIMAFoCw4QQRWd8RgOXpZRNgA8A+/6O5cSc9UtKmb8IqixZq6wdb87tKqVk6dKlxbJluXvBmGWmM3O2rqK6c3NzC+kH8ocfwsLCCAsLK9N3sqynJUuWFKqTJUuWFKq/ovsXLVrEwoUL3VKP1jKe9e7d2+qw4bhx44rVlfn7VYbQ4jo61nBmzuIuwHQpZT/t/YsAUsp/WZRZp5XZpuU4vgDUlHZEOTpnsY6OLcqTPzopyfYqUx2dilBZ3UfrAZbT3WeAooFS8stIKU1CiFQgDCi+7FdHx8VERUW5vWeno+MKKoXXkBDiSSHETiHEzoSEBHfL0dHR0bmucKYhOAs0sHhfX9tmtYw2NBSCmjQuhJRynpSyvZSyfc2aNZ0kV0dHR6dq4kxDsANoKoRoJITwAYYCq4qUWQWM0l4PBjbamx/Q0dHR0XE8Tpsj0Mb8JwDrUO6jC6WUB4UQrwM7pZSrgAXAEiHEcSAZZSx0dHR0dFxIpVtQJoRIAFwVEjMcz5y41nWVDU/VBZ6rTddVNjxVFxRoi5BSWh1br3SGwJUIIXbacrdyJ7qusuGpusBztem6yoan6oLSaasUXkM6Ojo6Os5DNwQ6Ojo6VRzdENhnnrsF2EDXVTY8VRd4rjZdV9nwVF1QCm36HIGOjo5OFUfvEejo6OhUcaq0IRBChLhbgzWEENXcrcEanlpfAEKIGu7WYA0hRJi7NVhDr6+ycz1fl1XSEAghgoQQ7wP/FUJMFELc4m5NAEKIQCHEJ8BKIcRwIUQjd2sCz60vACFEgFZnPwkhnhZCtNO2u/W/rdXZB8BqIcRMIURPd+oxo9dX2akK12WVMwRaZa0HsoHXUIst/s+togp4HQgGZgLtgGj7xZ2Ph9cXwLOoiLWjAD/gMwApZcWSTVcAIURT4FsgF3gcSABecpeeIuj1VXau++uyyhkCIBWYK6WcKqXcCmwBcjWr7/JEqVqwPYQQQUA14E0p5a/ALMAghHjZ1ZqK4FH1BSCE8NOevQAfYJmU8rCU8h0gQWtZurOVmw7Mk1I+L6U8BKwBzgsh6rtDjF5fZaeqXZfXvSEQQjQVQkw2v5dSnkS1PsxkAM2klOmuDHgnhGghhFgEvC6EiJBSXgVqAMM1nSmojG2DhRA3uFCXR9aXpq2ZECIG+FgI0V5KaQKCgC4WxcYCI4QQ9V3VyhVCNBdC5Gcdl1KeA9ZaFAkAWkgpz7hCj4Uuvb7Krq1KXpfXtSEQQgwHNgIvCCGe1LYZtR/XzI3AQRfrCgMWAQdQAfneFEL0AV4EhgghzPFA/gI2A3e7SJdH1pemwx81jLEPVS/jhRCjURflWCFEOICU8jSwFBjjIl13A/8FnhdCTNW2eRWps1DgiCv0WOjS66vs2qrsdXldGwJUVrRRwH2oP3+AlDJXKMzf/UZgN4AQ4n4hRIQLdLUAMqSU76H+ZGuBh1F/vv+i8jcjpcxGjZu6KhuPp9YXQGMgXUr5tpTyY2A+8ADgD8yl8KKZo9p3wQXDVxeBKKAZMEUIEaRF3jVYfHZLtItUm2xs5mRNoNdXeaiy1+V1bQi0Mb0tUsptwH5gurbLYNENbgM0EEKsAh4BTC6QthvwFULcpun4DZWy8wFNY2chxFghRD+gG+CSLrsH1xdSygNApBCim7bpL+AXYDIwDQgVQrwmhBgCPAFkasc5dfhKSrkTOCylPA78BHyq7RIWn307UFMI8S3qJpjjTE2aLr2+yk7VvS6llJX+AYQUeS+slGmtVWIbi201UeFZfwcedoKuGoB3UV0oD4SXgJkW++4HPtRedwUmAX8AUa7S5e760j7Dx8o2g/b8NLDUYvstqJwW4agW5kiUJ4Uz6qyYLhu/awrQwWKfL+omvAsY4gRd1QEvSy0eUl/FdHlCfWmfEQoE2NDjzuvSqq4iZZxyXTq8kl39AF4G9qJaOQ9r24w2yr4OLNBed9SeH3WSrteAU6gu+DNW9vfRLsp7tPfNgJ2An5Pry64ud9WXdu63UMMWjbT3osj+JsBKYJT2PgyV+OgGJ9eZXV2W/zngFWCT9rq/9jzQSbpe1W4KnwITLHW4ub7s6nJXfWnnfhk4BCwEplqpM3ddl3Z1FSnr8OvSaV/MFQ/gSeAHVD7kdqgxuyZ2ynujLOdV4A20lpMTdP0D+BnVwrgFOAZ0LVImGNUi243K2zwY5QUQ7sT6KlGXm+rLCDyHmiCcDzxup2xf4ARwKzAE2AQ09ABdli1eE5AG/BuLnpcDdVVHGfJlqLHhO4Dz5ht8ES2urC+7utxVX9pnhKCM+XLtftEWlTO9mrbf3Ity6XVZki4bxzj8unT4F3P2AwjWno3A28ADFvt+BlZb+9Ohuk+rULmUb3eSNnMrpxOwAq0VAUwEFgP1rBzzCrAE1YLq4gm6XFVfRT4zAtViHQm8B7Q3a7FSdhzwEWr4wKYhc4OucOBzYI8zdaEmfO8tsm0h0M9GeZfUVzl0uaS+tM/yRuvRae/vR/VYihlP7b3Tr8vS6CpS1mnXpdMq3gkVVkP705hn8v1QrbWvgBtQiz4+RFnT3toxBovjfdC6ng7WFQbMwaKVBfTUtjUx6wB+BIZr740UbhEFeIgup9eXHW3e2nN91FDMs4C/tk1YPpvr0FN0WZT1csYNzYauIIvX1bQbQ6Mix7mjvkrU5ez6sqVN227Q7h/xqJb4VgqGpNxyXZZCl/PvY874EZz0w36mPXqibvifa9s/R/lBH9IqcjwQU+TYYq03B2lqCWxAeTUssNjuBXyDakUGaNuigD9cVFcV0uWs+rKnrUiZB1Et2L4u/H9VZl2hKA8cpwyrVCZdpdEG3Gjx+hHg78qgy5nXZaVwHxUq6p83MEtKuQk1WVJfCPGElHIManJqgJTyKyAJNbmT7xMttVp0AqnADNQ43+1CiDu0zzOhjNNdgDlX6DdAnHBNBM8K6XJifdnUBoV82H9BTWi3FkI8I4R42Il6Kq0uC24E0qSUOUKIwZp7Y1XVZVOb2edeShlrUfZr4JQQopan63LmdVkpDIGUMg01Vvug9j4Z1U3/PyFEiJQyVkoZL4RoDIwGkrVyzryhIaU8C+yRUmagJsmmW+z7DtUtHidUXJI1wBUpZaozNXmyrlJok0IIIdUy/jRgKvAMcFnXVVyXBb1R/u8LgefR1gRURV32tEnN595s2IUKdvc1cExKeamq6jKL8+gHBROdt6NWGwZq7/1QY2lDtfcPAIeB59yodRcw2uK9D3Az8C6aG52uy742bVsEaqzUY35LD9f1CWrh01O6rpK1oWIZ/RMt9Iauy4PmCFArHh/RXltO2BgomCxcgoq4Z943G7hTe10PJ/j62tNl8dpLe74XNSxlAAaheePghLE9T9XlAG11te2+uq4SdT2ICiLXGedMbHqkLgdoC0GF4PC0OnOarhJ1u/oDrVRcNVTLNAHV2gqx2GdZkQ1QPr5xwKOogE+7gD5u1tWsyHEHUGF1vwdqVxVdDtK2ykPrzFN1/QjUrCq6HKTtBw+tM6foKrV+t31wgVU0Andrr5cA71pWHsptbznwvfa+N2q8cRvwoAfoWgnUQvlQPwvEAvdXFV2erE3XdX3o8mRtnqqrzN/D5R+oXBjfRa0i7GuuRO05AjgJtLIoPxiYXBl0YRH/43rX5cnadF3Xhy5P1uapusr7MFsrl6DNin+CGuJZixri+Q6YL6W8ppWJBppLKR+wcrxRSpnrgbq8pHLNrBK6PFmbruv60OXJ2jxVV4VwpdVBVdzvFMT36IeyqI9YlPFBzZp3AVoBvbTtzlzkpOu6TrTpuq4PXZ6szVN1VeTh0nUEUsorFEz2gor3vQf4h9DSvkmV9OELbd9KVHwNpFaLui736/Jkbbqu60OXJ2vzVF0VwR0Lyr4FbhFC1JEq1dpfQBZQB0AI0QOVNu9fUsoWUspfdF0eqcuTtem6rg9dnqzNU3WVC3cYgq2oEKqPAkgpdwMdUYspQC1AuUNKOU3X5dG6PFmbruv60OXJ2jxVV7nwcvUHSinPCyG+B6KFEMdR4Q6yUDlAkVKecLUmXdf1pU3XdX3o8mRtnqqr3LhjYkIbJhuAilV+GDeHOdB1XZ/adF3Xhy5P1uapusr6cKn7aFGEEN6o+ROPcqXSdZUdT9Wm6yobnqoLPFebp+oqC241BDo6Ojo67qdShKHW0dHR0XEeuiHQ0dHRqeLohkBHR0eniqMbAh0dHZ0qjm4IdHR0dKo4uiHQ0SkBIUSuEGKvEOKgEGKfEOI5c8JxO8dECiGGu0qjjk5F0A2Bjk7JZEopb5FStgLuRC0ieq2EYyIB3RDoVAr0dQQ6OiUghLgqpQyyeH8jKqRAOCoJyRIgUNs9QUr5uxDiD+AmVIKSxcBHQDTQA/AFPpFSfuayL6GjYwfdEOjolEBRQ6BtSwGaA2lAnpQySwjRFFgupWyvRZ98Xkp5j1b+SaCWlHKmEMIXFZ74ISnlSZd+GR0dK7g86JyOznWGNzBbCHELKuBYMxvl+gI3CyEGa+9DgKaoHoOOjlvRDYGOThnRhoZygUuouYKLQFvUnFuWrcOAp6WU61wiUkenDOiTxTo6ZUAIURP4FJgt1bhqCHBeSpkHjACMWtE0oJrFoeuAcVqAMoQQzYQQgejoeAB6j0BHp2T8hRB7UcNAJtTk8PvavjnASiHESOAnIF3b/heQK4TYB/wHldM2EtitJT9PAAa66gvo6NhDnyzW0dHRqeLoQ0M6Ojo6VRzdEOjo6OhUcXRDoKOjo1PF0Q2Bjo6OThVHNwQ6Ojo6VRzdEOjo6OhUcXRDoKOjo1PF0Q2Bjo6OThXn/wEhwXf7NMvJ1wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "028a4d5cffe24f308a661c5a363e4c5c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.022198934108018875, 'log': {'agg_test_loss': 0.02246629074215889, 'agg_test_loss_p': 0.022198934108018875, 'agg_test_loss_kl': 0.00026735535357147455, 'agg_test_loss_mse': 0.05315973237156868, 'agg_test_loss_p_weighted': 0.004420903977006674, 'agg_test_score': 0.022198934108018875}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.405925</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.007818</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.050875</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.257106</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.398106</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.174443      0.519664             0.583979   \n",
       "agg_test_loss_p                 0.174309      0.512404             0.530546   \n",
       "agg_test_loss_kl                0.000134      0.007260             0.053432   \n",
       "agg_test_loss_mse               0.054350      0.046874             0.050668   \n",
       "agg_test_loss_p_weighted        0.033049      0.102418             0.099437   \n",
       "agg_test_score                  0.174309      0.512404             0.530546   \n",
       "n                               2.000000      2.000000             1.000000   \n",
       "\n",
       "                          PL_Transformer_mean  TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                        0.554576                    0.600801   \n",
       "agg_test_loss_p                      0.554576                    0.600801   \n",
       "agg_test_loss_kl                          NaN                         NaN   \n",
       "agg_test_loss_mse                    0.078667                    0.044556   \n",
       "agg_test_loss_p_weighted             0.103580                    0.113829   \n",
       "agg_test_score                       0.554576                    0.600801   \n",
       "n                                    1.000000                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  LSTM_PL_STD_mean  \\\n",
       "agg_test_loss                                    0.603395          1.042797   \n",
       "agg_test_loss_p                                  0.603395          1.042797   \n",
       "agg_test_loss_kl                                      NaN               NaN   \n",
       "agg_test_loss_mse                                0.047060          0.065798   \n",
       "agg_test_loss_p_weighted                         0.114300          0.191335   \n",
       "agg_test_score                                   0.603395          1.042797   \n",
       "n                                                1.000000          1.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                    1.333418        1.405925    1.456276   \n",
       "agg_test_loss_p                  1.322273        1.398106    1.448933   \n",
       "agg_test_loss_kl                 0.011145        0.007818    0.007343   \n",
       "agg_test_loss_mse                0.045584        0.050875    0.050474   \n",
       "agg_test_loss_p_weighted         0.255269        0.257106    0.277617   \n",
       "agg_test_score                   1.322273        1.398106    1.448933   \n",
       "n                                2.000000        1.000000    1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                             1.629111   \n",
       "agg_test_loss_p                           1.629111   \n",
       "agg_test_loss_kl                               NaN   \n",
       "agg_test_loss_mse                         0.051648   \n",
       "agg_test_loss_p_weighted                  0.275075   \n",
       "agg_test_score                            1.629111   \n",
       "n                                         1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               2.607442             2.559804   \n",
       "agg_test_loss_p                             2.493560             2.559563   \n",
       "agg_test_loss_kl                            0.113882             0.000241   \n",
       "agg_test_loss_mse                           0.058096             0.051622   \n",
       "agg_test_loss_p_weighted                    0.467946             0.454760   \n",
       "agg_test_score                              2.493560             2.559563   \n",
       "n                                           1.000000             1.000000   \n",
       "\n",
       "                           np_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss             2.718724             4.716095  \n",
       "agg_test_loss_p           2.697164             4.716095  \n",
       "agg_test_loss_kl          0.021561                  NaN  \n",
       "agg_test_loss_mse         0.056558             0.050778  \n",
       "agg_test_loss_p_weighted  0.488960             0.811491  \n",
       "agg_test_score            2.697164             4.716095  \n",
       "n                         1.000000             1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'anp-rnn_d', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True, 'batchnorm': False, 'attention_dropout': 0.7, 'dropout': 0.1, 'hidden_dim_power': 6.0, 'latent_dim_power': 6.0, 'learning_rate': 0.001, 'n_decoder_layers': 4, 'n_det_encoder_layers': 3, 'n_latent_encoder_layers': 4, 'num_heads_power': 2.0}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=anp-rnn_d, trial=<optuna.trial.FixedTrial object at 0x7f8d6cfa7518> params={'learning_rate': 0.001, 'num_heads_power': 2.0, 'hidden_dim_power': 6.0, 'latent_dim_power': 6.0, 'n_latent_encoder_layers': 4, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.7, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_d/version_-1100/_ckpt_epoch_13.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9c4a9c8a3d014f899464f6928e5fecc2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': -0.17980867624282837, 'log': {'agg_test_loss': -0.17329134047031403, 'agg_test_loss_p': -0.17980867624282837, 'agg_test_loss_kl': 0.0065173376351594925, 'agg_test_loss_mse': 0.04297592118382454, 'agg_test_loss_p_weighted': -0.03627816215157509, 'agg_test_score': -0.17980867624282837}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.559804</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.454760</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.559563</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.174443      0.519664             0.583979   \n",
       "agg_test_loss_p                 0.174309      0.512404             0.530546   \n",
       "agg_test_loss_kl                0.000134      0.007260             0.053432   \n",
       "agg_test_loss_mse               0.054350      0.046874             0.050668   \n",
       "agg_test_loss_p_weighted        0.033049      0.102418             0.099437   \n",
       "agg_test_score                  0.174309      0.512404             0.530546   \n",
       "n                               2.000000      2.000000             1.000000   \n",
       "\n",
       "                          PL_Transformer_mean  TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                        0.554576                    0.600801   \n",
       "agg_test_loss_p                      0.554576                    0.600801   \n",
       "agg_test_loss_kl                          NaN                         NaN   \n",
       "agg_test_loss_mse                    0.078667                    0.044556   \n",
       "agg_test_loss_p_weighted             0.103580                    0.113829   \n",
       "agg_test_score                       0.554576                    0.600801   \n",
       "n                                    1.000000                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.603395        0.616317   \n",
       "agg_test_loss_p                                  0.603395        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.047060        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114300        0.110414   \n",
       "agg_test_score                                   0.603395        0.609149   \n",
       "n                                                1.000000        2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_pt_mean  anp_c_mean  \\\n",
       "agg_test_loss                     1.042797         1.333418    1.456276   \n",
       "agg_test_loss_p                   1.042797         1.322273    1.448933   \n",
       "agg_test_loss_kl                       NaN         0.011145    0.007343   \n",
       "agg_test_loss_mse                 0.065798         0.045584    0.050474   \n",
       "agg_test_loss_p_weighted          0.191335         0.255269    0.277617   \n",
       "agg_test_score                    1.042797         1.322273    1.448933   \n",
       "n                                 1.000000         2.000000    1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                             1.629111   \n",
       "agg_test_loss_p                           1.629111   \n",
       "agg_test_loss_kl                               NaN   \n",
       "agg_test_loss_mse                         0.051648   \n",
       "agg_test_loss_p_weighted                  0.275075   \n",
       "agg_test_score                            1.629111   \n",
       "n                                         1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               2.607442             2.559804   \n",
       "agg_test_loss_p                             2.493560             2.559563   \n",
       "agg_test_loss_kl                            0.113882             0.000241   \n",
       "agg_test_loss_mse                           0.058096             0.051622   \n",
       "agg_test_loss_p_weighted                    0.467946             0.454760   \n",
       "agg_test_score                              2.493560             2.559563   \n",
       "n                                           1.000000             1.000000   \n",
       "\n",
       "                           np_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss             2.718724             4.716095  \n",
       "agg_test_loss_p           2.697164             4.716095  \n",
       "agg_test_loss_kl          0.021561                  NaN  \n",
       "agg_test_loss_mse         0.056558             0.050778  \n",
       "agg_test_loss_p_weighted  0.488960             0.811491  \n",
       "agg_test_score            2.697164             4.716095  \n",
       "n                         1.000000             1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'anp-rnn_extras', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True, 'batchnorm': True, 'attention_dropout': 0.4, 'dropout': 0.2, 'use_lvar': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=anp-rnn_extras, trial=<optuna.trial.FixedTrial object at 0x7f8d6e483438> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.2, 'attention_dropout': 0.4, 'batchnorm': True, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_extras/version_-1100/_ckpt_epoch_2.ckpt\n"
     ]
    },
    {
     "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": 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FchGRD0XktIj8LiL320sWZ+HcuXP5Ou4MLFiwADC4kWZRp04d/vnPf/Lkk086SiyNplhhz6mhcKCHlfKeQD3jNgr42I6yOAU1a9bM13FnYPz48Sil+OWXXwDYs2cP8+fPZ9euXQ6WrGAU5ToCvWbBebCbIlBKbQeuW6nyFLBcGdgLlBWRKvaSxxkICwvDx8fnrmM+Pj6EhYU5SKLix//+9z8mTpzI5MmT2bdvn6PF0WiKBY40FlcDzmfbjzEe0xSQ0NBQlixZQuXKlRERqlevzpIlS5zWPpCWlsa//vUvPvnkE9OxBx54gIceeohdu3bx0ksvOVA6jab4UCKMxSIyCsP0kVNPc9hCaGgoy5Yt49KlS3z66ac88sgjjhbJYdy+fZsxY8YAhvUDGzZs4JFHHqFWrVqMHDnSFJFUo3F2HDkiiAVqZNuvbjyWC6XUEqVUa6VUa51aMG8OHDgAwNy5cx0siWNxc3MzjYZ+/vln0/F69eqxbds2Fi9e7CjRNJpihSMVwQZgmNF76AEgXil10YHylBreeustAKd3j/Tx8SE8PJytW7eyceNGAC5dusTJkye5efOmg6XTaIoP9nQfXQXsARqISIyIjBCRF0XkRWOVTcAZ4DTwCTDaXrI4G8OGDSM+Pt4UZdOZcXNzo3v37nTs2BGA2bNn07BhQ1asWGH3c2uvG01JwZ5eQ4OUUlWUUu5KqepKqU+VUouUUouM5Uop9ZJSqo5SqplS6oC9ZHE2vLy88Pf3x93d3alDTqSnpxMVFcWFCxdMxypUqICfnx9jxowhJCTEccJpNMUIHWKihGPuQd+4cWO8vLyYP3++U4ecuHDhArVq1aJatWrMnz+f9PR0Zs6cyenTpwG4deuWgyXUaIoHokrY+LV169Yqyxjq7GTFFsoeVsLHx8e0n/1zdoKDg4mKiioqMR3G+fPnefDBB00rqxMTE/H19SUzM5Pk5GTc3d3vWnFc2Pz5JxjXsRUa3bpBUflLHDoEp04Vzbk0eRMYCI8+WvD2InJQKdXaXFmJcB/VmMdSbKFKlSpx+fJls0oAnCfkRI0aNYiOjmby5Mmkp6fj6uoKgIuLC76+vg6WrmCUsPc2TQlBTw2VYCw90K9cucKKFSuoWLGi2XJnW4sxb9483n33Xby9vRkzZgz169dn06ZNjhZLoyk2aEVQgrEWW2jIkCEsWLAAb2/vu8qcPeRETEwMkZGR9OnTh379+lHSpkaLEn1rnAetCEow5h7oPj4+VKpUiQEDBtC/f3/atm1rKgsODnaqkBOnTp2iWbNmPPDAA5w8eZLU1FQWLlxo+rxu3TrS09MdLaZG43C0jaAEExoayvbt2wkPDyc1NZXg4GDCwsIYMmQI+/fvp1evXjRv3pwTJ07w0Ucf0bdvX0eLXKTcunWLo0cNUdAbNmzIiRMnaNCgAZUrV2b16tW4uLjg4qLfhTQa/Sso4SxevJiUlBSUUkRFRTF48GBWrlwJwKhRo5g6dSoeHh7MmDHDwZIWPQ0bNuT3338nJCSEevXqISKmsmeeeYb+/fubDMjOvN5Co8lzRCAiLkALoCpwGziqlLpib8E0BUNEGDRoEF9//TU+Pj54eXlx/vx5/Pz8HC1akePt7U2zZs04e/as6di//vUvoqKiGD16NHXq1AFyu+FmrbcAnGYaTePcWFQEIlIHmAw8DEQCcYAXUF9EkoHFwDKlVGZRCKrJTWpqKhEREezbt48uXbrwzDPPAAb3yM8//xzANFLw9/d3pKjFhjVr1piS0jRv3px+/frpFJ8ap8faiGA2hqxhf1c5XCtEpCIwGBgKLLOfeBprXLhwgeeffx6ArVu38swzz3D79m0+++wz/P396d+/P48//jhxcXGsW7eOwMBAB0tctJw9e5YlS5ZQp04dXnjhBQBeeeUV+vTpw+TJk8nIyKBTp04W3XCjo6OJiIjQykBT6rGoCJRSg6yUXQHet4tEGptRStGxY0d27NhB//79Abh+/TovvPACQUFBdOvWjUOHDnH58mXTXLgzERUVZYrE+vbbbxMeHm4aNZ0/f54bN27g7e1NzZo1iY6ONtuHniLSOAM2GYtF5G8iMlhEhmVt9hZMkze1atVi+/btKKWYN28eYAg49/zzz3P9+nXKlSvHp59+ylNPPcXEiRMtPuxKK7Vq1TK52EZGRpKQkGAqe//991m2bBmVKlUym+Izi6wpIo2mNJOnIhCRFcB84EGgjXEzG69C43iyHv6tWrUiMDCQ2rVrc/nyZVatWkVsrNm8P6WWkJAQpk6dytmzZzlx4gQdO3Zkz549bNu27S6bQFaKT0sUp5AcepGXxh7Yso6gNdA4p51A43iSk5Px9PQkPj6eO3fuUKVKFZOLZPbAfJMnTyY+Pt7kJeNsZA83PXz4cCIjIzl48CAhISH4+fnh7u5OaGgof//7381GJHW2kBwa58OWqaGjQGV7C6LJPxMmTMDDw4Ny5cpRrVo1kpOTSU1N5cqVKyQkJJCYmMjkyZM5c+YMw4cPp1KlSo4WuUi5du0au3fv5lS2EJrt2rWjU6dO9O7dm3LlyvFLtvCgEydOxMPD464+7iUkh3510pQULCoCEflGRDYA5YE/RGSLiGzI2opORI0lkpOTycw0eO9WqVKF1NRUDh48SKVKlXj00Ue5du0ab7/9Nh9++KGDJXUM27dvp0OHDjRo0IAJEyawf/9+VqxYwbZt22jcuDFly5a9q/7MmTNZunSpybBerVo1pwrJkROtyJwHa1ND84tMCo3NREREMG3aNKKjo00PrJo1azJnzhyTe2iFChXYu3cvPXv2pHv37tSvX59169bRoEEDmjZt6kjxi5TAwEAeeOAB9u7dy4IFC2jUqJEp9tJ3331ntk1oaCienp6kpKTw1FNPldhw1RpNfrDmPvpzUQqiyZucK2AzMjIAgzEzu5vjlStXGDRoEKtXr2b69OlERkbSr18/ZsyY4VSKoHPnzuzZs4fvvvuOo0eP3hWAzxzbtm3j0qVLdOzYkWrVqhWRlBqN47HFa+hpEYkUkXgRSRCRRBFJyKudpvAxtwI2i5xujtOnT2fHjh088sgjNGvWjD59+tCgQYOiErVY0aNHD1599VWaN29OlSpV8PPz4+bNm7nqvfPOOwwaNIhff/3VAVJqNI7DFq+ht4FeSqnj9hZGY5283Bizlzdp0oTLly9z6tQp7r//fqeLPGqJpKQkkpKSeOONN9i3bx9vvvkmXbt2BaBTp074+flx8uRJkpKS6N69O+XKlXOwxBqN/bHFa+hyQZWAiPQQkZMiclpEppgprykiP4nIryLyu4g8VpDzOAt5uTFWrFiRrVu30q5dO2bOnMnWrVt58MEHnTLyKMBnn31GuXLl6N27Nz///DNnz541eVTFxsaye/duLl++bKo/adIkVq9ezeeff86gQYOIjIx0oPQaTdFhzWvoaRF5GjggImtEZFDWMeNxq4iIK/AR0BNoDAwSkcY5qk0HPldK3QcMBBYW+EqcAGsrYL28vAgLC+Py5cvs37+fzz77zLRIqn79+qSnp5OYmFiU4jqc5ORkrl+/ztdff03nzp1Zvnw53t7e+Pn5MXPmTHbu3En37t1ztXv44YcZMGCA08Vm0jgv1qaGemX7nAw8km1fAevz6LstcFopdQZARFYDTwF/5OgnKyxmAHDBBpmdliw3xqlTp3Lu3DlcXV3JyMgwJaQJDQ3l6tWr7Nmzh8WLFxMeHs7kyZPp0aMH7u7utG3bln379jn4KoqOoUOH0rt3bz777DPWrVtHjRo1TGWNG+d8J4HExEREhDfffFMnrNE4FdYUwf+ALUqpawXsuxpwPtt+DNAuR51ZwFYReQUogyHktcYKoaGhrFq1inPnzvHll1/Sq1evu8rLly9P+fLluXPnDhUqVDDNe7u4uDhdfl5PT088PT0ZM2YMY8aMIS0tjQEDBuDl5cXy5ctz1e/atSsHDhxg//79tGnTxgES542TfYWaIsKaIqgBrBURd+AHYDOwv5BDTQwCwpVS74pIe2CFiDTNmeNAREYBo0Av98/CxcUFT09PADZv3sz+/ft57LHHTA+wzp0707lzZ8AQpTQ9Pf2uDF3OSFpaGmvXrsXLy4tnn32W/fv307VrV5NbqZeXFz4+PogIt27dwsPDA3d3dwdLrdHYH4vjX6XUPKVUV+Ax4DDwPHBIRD4zRiDNK15BLAZlkkV147HsjAA+N55vD4bEN+XNyLJEKdVaKdW6QoUKeV1TqWfjxo1kZGSY5re//fZbZs2axb59+9i5cyezZ89m27ZtjBkzhvLly7Ny5UqnVALfffcdzz33HKtXrwbA3d2dNWvWEB4ezsaNG3nttdfYsWOHqf6OHTu4desWYWFh+Pr68s033zhKdI2mSMlzIlQplaiU+lIp9XejUXc2UAHIPba+m1+AeiJSS0Q8MBiDc4amOAd0AxCRRhgUQVw+r8FpyXq49+zZkxkzZtC6dWu2bdvGjBkz+Oqrr9i1a5cp3o4z5uM9evQo4eHhvPzyy/j5+TFu3DgGDBjAM888Q9euXZk0aRKtW+cOpOvt7W3RKO9oinJqSE9DOQ+2rCNARKoBwdnq/6KUetdaG6VUuoi8DGwBXIGlSqljIvIGcEAptQGYAHwiIuMxGI6f1VFO88/jjz/O448/DsDt27eZOnUqt27d4tChQ9SuXZtly5Zx+/ZtwLny8fbo0YNy5cqxf/9+Fi1adNdivCeeeIInnnjCbLvPPvusqEQs1uhfovMgeT13RWQe8AwGb58M42GllHrSzrKZpXXr1ip7iGVHkxX759y5c9SsWdPkvWNPRowYwYULF1i0aBHBwcFm6+zZs4fnn3+emJgYkpKScpUHBwcTFRVlVzmLCykpKaSkpJCRkcHGjRvx8/Ojd+/euer169ePa9eusWbNGipWrHjP5z19Ggr7X7VTJ6hSpXD7tMT+/XDmTNGcS5M3gYHw6KMFby8iB5VSZnPJ2DIi6A00UEqlFFyE0knO2D9F9ba9fft2Tp8+TUqK4Su5du0a0dHRBAYGUqtWLQDat2/P8ePHLbpBFqdkK/Ymy3soKiqKYcOGUbNmTR566CEuXrxIYGAgVatWBWD37t1cvHiR9PR0B0us0RQttjhLnwG064QZzMX+KYrUhuHh4Xz77bemwGhr166lVatWzJ07l3PnzvH7779z/fp1JkyYYHGu2xm8r44dO8a6des4ceIEYJj7HzJkCL1792bp0qU0bdqUd9/9a4Zz3bp1/PDDD6xevZquXbuyfn1eS2U0mtKBxRGBiPwLw7x9MvCbiPwAmEYFSqkx9heveGPprdreb9sdOnS4a79y5cq0bNmS6tWrM3v2bD755BMWLVrEunXruHXrFt7e3iYbAdxbspWSxKpVqwgLC6Nfv354eHjQtGlTVqxYAcDy5ctp1KgR2b3Q2rdvD8CGDRv46aefcq3RsIW0NEhPh4wMsBAf8J5ITobbt8HLC+zpCKaUthE4ExZtBCIy3FpDpdQyu0iUB8XJRhASEmI2Ibwj599nzZrF+vXruf/++1m2zPAVBQUFkZaWRmJiItWqVWPevHml3lAMBqPvF198Qfny5fnkk0/o3r07W7duzbPdyZMniYmJoX79+netRraFa9cgK5LHlSuFP8feuDH4+4Obm+Gvp6fhc5ZSUAoyM+/esh7q1jb4q35GhkGZnT0Lly4VrvyaguMoG0E8sFspdaXgpy7dhIWF3WUjgKJ52/7oo48QEUaOHJlrwdOsWbOoV68eI0eONB27fv26yVbwySef0LNnT7vKV1wYPHgwgwcP5uLFi3Tq1IlKlSpx48YNPD09zU6ZzZ8/HxcXF8aOHVvsQ3anp8P1646WQlNasGYjGAL8asxFsExERomI82Q1sYHQ0FAWL15MzZo1ERGCg4OLJLXhuHHjeOmllyyGjJg2bdpdU0EAmZmZ+Pn5OYVtICdVqlQhNDSUgIAAgoKC6NSpExEREbnWVkyaNIkJEyY4WlyNpsixlqGsH4CIhAB/M25/F5GaGNYR6JDRQGxsrMkmUBTTQUopRo8eTWpqqmk0cPDgQZ566imaN2/Opk2bLNookpKSaNKkid1lLC6kpaWhlMLNzc00IgoICODWrVuMGAPIebsAACAASURBVDHC5HWV5e312GOPUb9+fX799Vd27NhBq1ateOihhxx5CRpNkWDLyuIo4BDwK/AbcAXwtq9YJYe4uKJdCC0ifPDBB3z88cd3hY2IjY3l4sWLDB482KLLqLONBsaNG4enpydz585l9erVXLp0iZs3b5KcnGxSAlkkJydz9OhRFixYwI8//sg///lPHWJC4zRY8xqaCrTHEE7iJLAX+DcwSimVYamdszF58mSqVq2KI2MgNWvWjHPnzuHr60vfvn3JyMgwJWDPwtvbm1deeYXr168TFBTkMFmLEhcXF9zc3Pj555+ZPn06YDDkmzPww1/eXq1bt2bs2LF07NixyGTVaByJNa+hE8At4BtgN7BPKRVfhLKZpTh5DTmC9PR0oqOj8fb2Ni2Eys7Vq1e5desWP/74I6+//rppxXODBg3YunUr77//PmPHjnWA5I4hIiKCkSNH3mUzERGz9pUqVaqwY8cO6tSpU+DzFZXXUFEQFaW9hooT9vQashZ9tCHQHTgAdAa+FJH9IvKJiDxXcHE098Lly5epW7eu2WBpYMhHEBwczHPPPUdUVBSZmZlERUXRqVMn6tati6+vbxFL7FjMGc6VUrmisXp7e3Px4kXatcuZMkOjKf1YtREopa4rpTYC/we8BqwFugD/KQLZSgSrVq3C29ubYcOGFcn5lFLUqlXrrvn+O3fuMHr0aP7xj39YbDd16lQiIyMZMWJEUYhZbLBkOFdK4efnBximixYsWEDDhg2pV68eSUlJnD59mosXLxalqMUOvaDMebBmI3gSg6dQB6AJcAzYhSFi6O4ika4EsH//fu7cucOKFSvMZr0qbKpXr86ZHPMNLi4ufPzxx7i5uVGxYkWuXbvG9OnTqVy5st3lKc7MnTsXT09P7ty5k6usSpUqXLx4kaZNm3LkyBEAXnzxRQBWrFjBsGHDCA0NZeXKlUUqs0bjCKwtKHsWw4N/EnBQKZVaJBKVMIYMGcL7779vNgduUeHu7s6///1vvL29mTNnDn/++Sfjxo1zmDzFhcOHD3Pnzh08PDxITf3r39fHx4eZM2dy+/ZtKlXKnV+pbNmy1K5du9AdAI4c+Z4rV87StGlXKlUquB1CoylsrK0jeBpARHrmVAIi8qJSapG9hSsJtGrVyuG5gEWEl156CTCkW7x+/XquMMqrV69m1qxZDBgwgDfeeMMRYhY5U6dO5dlnn+X06dNMmjTJ9OB/9913rS7669WrV4HiDOXFDz8sYd++tbzyyiqtCDTFClvCUM8QkRSl1I8AIjIJg51AKwIHcPDgQYYOHUqbNm1MsYSyM3jwYLPtEhMTOXnyJBcuXLC3iMWG5s2b07x5cwD+8Y9/cPToUb777jvKlSuXq+6pU6fo2bMnjRo1YuPGjXaRp0mTrvj4+FOpUt0C96Hn7TX2wJYw1E8Cc0Sko4iEAe2Ap+wrVslhz549LFq0iN9++61IzhcfH8/x48fvMoJGRERQuXJlXFxcqFmzptlUlH379uX48ePMmTOnSOQsbri6urJ//36mTJnCF198QUZGBj/88ANbtmwBDAvKzpw5w/nz5+0qx/nzRzl//ohdz6HR5Jc8RwRKqatGw/H3wEGgn04n+Rdr1qzhgw8+ACiSKaJ27dpx9OhRPD09gdzJcc6fP8+IESPIzMxk6NChpnZBQUFOs5Asiw0bNnDu3Dl69epFcHAwzZs3Z+LEibRp04b09HQefvhh3N3dSU1NpVGjRkRGRuLq6sq+fft49tlnad26tSlsdWFw8+YFTp/eR4sWzhH0T1NysOY1lIghH0EWHkBtoJ+IKKVUES1rKd506NDBpAiKgjJlytwVL8hccpyUlBSmT59+lyJwRhYuXMiWLVuoU6cOnp6ejB8/noyMDN5++22UUnTp0gUvLy+UUnh6elK3rmHKJiYmhhMnTlC+fPlClef++58kJOQ+QkLuK9R+NZp7xZqx2K8oBSmp9O/fn8TERNzc3MwuVLI3lvzkc05xnD59msWLFxMSEmIyLJd2nnzySerUqUNwcDCBgYHs3bsXESEtLQ13d3d+/PFHs+3uv/9+jh07ds+L73IOEFeunMCJE9uZMWMbFSqE3FPfGk1hYtFGYIw6ahExUD2POj1E5KSInBaRKRbqDBCRP0TkmIh8ZovQxQ1fX1+8vLyKRAkcPHjQNM8NlgPJ5TweGxvL/PnzWbNmjd1lLC6MHj2ajz76iMaNG5sS1CilqF27di47yqlTpxg/fjyLFy+mTJkyNG7cuNCD9Pn6BuLvXxEPD69C7VejuVesGYvfEZF1IjJMRJqISEURqSkiXUXkTQxrDBpZaiwirsBHQE+gMTBIRBrnqFMPw4rlDkqpJkCJc36/evUqMTExuaZn7MXhw4eZN28e3377LWBIjpMzyYq55Dh16tRh3rx5TjMayE6WHSUuLg6lFDExMYwaNYqIiAiUUiilOHv2LO+//z7r1q2zmxwDBsymZ8+xXL8ea7dzaDQFwdrUUH/jgzsUeB6ogiF/8XFgExCmlMq9ZPMv2gKnlVJnAERkNQZvoz+y1RkJfKSUumE8Z4nLhjZhwgTTiuKkpCTKlClj1/NlJalv2tSQIyjLH37ixIlcvHgRd3d3s8lxqlevzqRJk+wqW3HjwoULpKWlMXXq1FyKOjk5mWeffZZhw4YRGRlJgwYNWLBgATVq1CAuLo758+dTtmxZXnvttUKT59y5I6xZM4327Z+hbdunC61fjeZeseo1pJT6A5hWwL6rAdknqmMwuJ5mpz6AiOwCXIFZSqnvCng+h1C2bFnT5zt37thdEbRo0YIWLVrcdSw0NJRevXoREBBAWloaU6ZMcYqcxHnx9NNPs2/fPotTdunp6YDBuN6oUSPGjx8PGOwpb7/9NrVr1y5URVCjRlOeeuo1goNb5F25GKB9A50HWxaU2fv89TBEN60ObBeRZkqpm9kricgoYBQUv+QqH3zwAZ07dyYjI8PuSsAa/v7+REZGUq9ePbMPvpSUFPbv3w/gNHH2K1euTI0aNUhPTzcbQK5GjRqcOXMGN7e7fwYVKlTgrbfeMrvw7F5Yu/b/uHEjlm7d/l6o/Wo094o9FUEsUCPbfnXjsezEYMhzkAacFZFTGBTDL9krKaWWAEvAkI/AbhIXkD59+hTZuaKiooiNjSU4OJjq1e+21detW5fMzEzS0tJytbt+/ToPPfQQlSpV4pKTBJn/6quvgNxrLcBgR5k7d65JCVy8eJHjx49TtWpVGjZsyOTJkwtdnnPnDnPlylkyM9MLvW+N5l6wZWVxQfkFqCcitUTEAxgIbMhR5ysMowFEpDyGqaJCTuVRuli6dCkPPvggn376aa6yiIgIatWqhZeXlykhexY+Pj506NCBBx54oCjFLRaEhoayZMkSgoODERGCg4Nz2VG+//57unXrlsvIXpiMGfM5o0Z9yu3biQXuQ0/XaOxBnopARNaLyOMiki+loZRKB14GtmAwMH+ulDomIm8YVypjLLsmIn8APwETlVLX8ncJjmX06NGICKNGjSIhIcHu56tevTp/+9vfCA4Ovut4REQEI0aMIDo6GqWUKSF7ljIICAhg586dprdkZyM0NPSuRD2hoaG89dZb9OnThwMHDlCxYkU6d+5Mo0aNyMjIYMeOHWzfvr1QZXBxcWXJkhEsWqTzOmmKFxZTVZoqiDwMPAc8gCExzX+VUieLQDazFLdUld27d+f7778H4Pjx4zRs2NAhcoSEhJjNxRscHExUVFTRC1QMeOKJJzh37hxff/01tWrVylXeu3dvvv76a7788kt69+5tOp6cnEyZMmXw8vLKld0sL7Knqrx8Gc6e/avs8uU/effd3lSt2pBx49YW6JoaNoRs/gl25cwZQ7pNTfHAnqkqbYk19D3wvYgEAIOMn88DnwArjfP7TsvixYt58cUXKVOmjEPTQFpaYWzpuDNw8uRJTp8+bdZmAgaX2+HDh9O2bdu7jnt4eNChQwe8vAp34deePWt44IEB9OrlXG68muKPTdM9IlIOQ6KaF4BfgQ+A+4H/2U2yIiQiIoKQkBBcXFxyza3nRe3atdm6dStffvllLuNtUWLLCuPq1avj5eVVJFNYxYFvv/2W3377Ldc0WhYdOnSgT58+VK1a9a7jbm5u7Ny50zTSKyy++iqMtWv/j4wMbSzWFC9ssRF8CewAfIBeSqknlVJrlFKvACU+E3qWR4mlufXixqhRowgKCsoVKsKWFcZ37twhJSWFlJSUIpHV0dSvX58WLVqYIrVa47333sPHx4dp0wq6bCZvnnpqKn36TMfNzcNu59BoCoItI4IPlVKNlVJzlVJ3OWNbmm8qSZiL3pmcnGzzA+Gjjz5iwoQJHD161OIURGGSkJDAjRs3yMzMvOu4LZ4xf/75J8nJyYUeVbOkcvDgQZYuXcrhw4dJSUnh9u3bZGRk2O18TzzxKjt3rmT8+Hp2O4dGUxBsMRabWwsfDxxxREiIwjYWu7i4mM0jICK5HrbmaNmyJYcPHwZgx44dPPjgg4Ummzlu377N7du38fHxKfQ57NLG7NmzSU5O5rXXXsPPL3cw3cmTJ/P2228zd+5cXn31VVJSUnB1dTW538bFxREbG3vX6vG8sGYszszMJDTUFYDPPsssUJBCbSx2XuxpLLZlRDAC+A+GmEOhGIzEk4FdIlLiA97bGr3TEkUdxM3b25ugoCCtBGzggw8+YO7cuRY9f9q0acOzzz5L06ZNcXNzM3kKAdy6dYvk5OS7kt7fC5mZGZw9e5AJE75i4ULnSReqKRnYsrLYHWiklLoMICKVgOUY4gZtBwovhZMDCAsLM7vq1NaFRSNHjmTkyJH2Eq9QmTFjBidOnGDu3LmmJCylmenTp5OUlGTRm6tfv37069fPbNnp06dxdXUttLAhd+7cYvr0tnh6liE8PKlQ+rQ3evGa82DLiKB6lhIwcgWooZS6DpR419GsufUsPDw8zEbvLC68/vrrDB8+nFOnTuW77Q8//MAXX3zBFScZ748dO5Zp06blMqKbY8WKFQwcONCUuD4gIABfX997yjGR80Faq1are85Oph/OGntgiyLYJiIbRWS4iAwHvjYeKwPczKNtiSA0NJSEhASuXr1KYmJivpTAwYMH+eWXXwptCiEvNm/ezPLly7l2Lf8LsGfNmsWaNWuoX7++HSQreaSmphIXF8eNGzc4dOgQa9asKZCCtQUfH3/mzDlA06YP88kno0hIiLO5rVKKI0e+JyHhql1k02hsmRp6CXgayLKCLgfWGRPYd7GXYEWNOWOiLfTq1YuLFy8SHBxMeHg4nTt3LlzBcjBz5kwuX75coKmdRx55xA4SFV92796NiNCuXTtcXHK/86xcuZIRI0bw3HPP8corr9C2bVvuu8/wxv7aa69x9uxZ3nnnHWrUqJGrbUHZs2cVFy6c5LHH/om/fwWb2hw48BULFjxN9epN2LDhaKHJotFkYVURGLOMfa+U6gLYL3VTCaZFixZcvHiR6Oho4uJsf8srKD179rT7OUoLnTt3Ji0tjZSUFDw8cvvu+/n5Ua5cOby9vbnvvvtMSgBg06ZN/P7770yZMqVQFUGfPjO4cyeJgICKNrfJ8l6rUkWP5DT2Ia/ENBkikikiAUqp+KISyhFkxeoZOnSoKeOYLWzevJk//viD69evOyzOkK3s3buX06dP0759e+rUqeNocexOu3btSEtLw9XV1Wx5//796d+/v9mysLAwEhISCi3/xeXLZ5g5829UrlyPWbN25KttgwYdmDx5M35+ev2Hxj7YMjWUBBwRkf8Bt7IOKqXG2E0qB5AVsO277/KfIK1x48Z5VyokvvrqK9LT03n88cfx9vbOV9uPP/6Y5cuXEx4e7hSKYMcO2x+4O3fuJDo6mg4dOhASEsITTzxRqLKkpd0hPv4yZcoE5rtt2bKVadmyR6HKo9FkxxZj8XpgBgZX0YPZtlLF/v37mTJlCsuWLXO0KFZ58cUX6d+/P/Hx+R+gdejQgdDQUEJCQizWuZe4SyWZhQsXMmTIEHbt2mWX/qtUqc/ChRcYOnQBhw5t5OZN25MDXbp0mtdf78TChcPtIptGY0v00WUi4g3UdGT4aXvTpk0b2rRpk+92lStX5vLly7z55ps89thj3H///XaQ7i969erF9evXbXKJzMmoUaMYNWqUxfKcmbyy4i4Bxdad9l44evQoI0eOpH79+nTo0AERMYWr/vnnn4mJiaFLly65gtLZSvaF6a6ubgQGVmHp0n9w4MDX/POfX9KmTW/LjbNx6tRuTpzYzokT20lPL94vKpqSSZ6KQER6AfMBD6CWiLQE3lBKPWm9ZelHKcXly4YlFjNmzKBcuXJ2VwSffPKJ3fq2FneppCmC5ORkqlWrhp+fn8VQ3Kmpqezdu5eUlBSWLVt21yrxuXPnsmXLFjZt2pQvRXD2LERFQUaGeZ//WrVak5GRnq/5/gsXTgDQsuVj/PknREdDQIAh1ISXF7i5gYuL4XyZmeY3pe7esh+Dv45lZBi2tDS4dcuKUJpShS02gllAW2AbgFLqNxGpbUeZHMKECRNYv349s2bNYvhw24fgcXFxrF27lujoaFq2bGlHCe+dtLQ0kpOTTeEUclKachqkp6dz8+ZN0tMth3xu0KABu3fvJiAgIFdZ586dCQoKonLlyvk8r2HLycWLp/jmm3eoVq0RkyZtzFefDRo8yMMP/4OWLXuaznHtmmHTaAoDW4LO7VVKPSAivyql7jMe+10p1bxIJMyBvTKUZV9Bmtc9cRRKKW7duoWHh4dZd8i8mD17NjNmzGDq1KlmQ2iUpixnSilTlFZboq0mJiailKJMmTIWvYxsYe9ew4ggJ0eP/khYWDcaN+7MjBk/Fbh/jfPi6KBzx0RkMOAqIvVE5F/A7oKLUzx5//33ARg8eLCDJbFMSkoKfn5++Pv7F6i9r68vfn5+Fh90tuQ0KCmICEFBQTaH3O7duzcBAQFs27bNLvJUrdqAF15YTM+e41FKkZlpe7jrtLQUNm58l40b37WLbBqNLYrgFaAJkAKsAhKAcfYUyhGMHTsWpVS+vGSSkpJ47rnnGDJkCMeOHTPZC+xFamoqZcqUKXAgtHHjxpGQkMAbb7xhttyWnAaliTt37jBnzhzmzp2Lt7c3fn5+ppFWamoqCQkJhZbEJyioGt26jeLPP/czeLALGza8bXPbmzcvEhHxKhERrxaKLBpNTvJUBEqpZKXUNKVUG6VUa+PnO0UhXHEnOTmZ8PBwIiIiaNq0KYsXL7br+fz9/UlKSipQnCFbCQ0N5b///S/VqlWjatWqJVYJ3Lhxg2HDhjF+/HiLddLT05k2bRqzZ89m48aNJCQk0LFjR8DgphsQEMDKlSsLVS5XVzfjuW1XMKtWvQZA+fKFs7hNo8mJLV5D9YFXgZDs9ZVSXW1o2wNDfmNX4D9Kqbcs1OsLfAG0UUoVvgEgDzIyMvjxxx9xdXWlVatW+Pr62jRP7Ovry9KlS1myZAnx8fEEBQUVgbT256WXXiImJoaYmBiuX79eIq8rMTGRFStWUL16dd577z2zdby9vXnttdfMLszLGnndS/TR7Fy7FsPZs4do2fIxnn56Bi4uttsh/PzKERRUnWef/XehyKLR5MQWY/FhYBGGRWSmiU2llNVFZcY4RaeA7kAM8AswSCn1R456fsC3GNxTX85LEdjDWJyYmHjXvPvp06eL5crbiIgIpk2bxrlz56hZsyZhYWH5emOfPn068+fPJyUlheDgYIvthw0bxooVK1i1ahVPP/10gQzTjiYpKYl169bh7e3NgAEDiuy8lozFu3at4t//Hkz79gMZM2ZVkcmjKT042licrpT6WCm1Xyl1MGuzoV1b4LRS6oxSKhVYDTxlpt6bwDzAodNNDz/8MGAIRFYck7tHREQwcuRIoqOjUUqZFnvZatOIiIgwKQHAavvly5ejlGLgwIElUgmAYbQ2fPhwm5XA0KFD6dSpE2ez55YsRAIDq3D//U9Qq1bB1plcvvwn584dISPDsjusRlNQbFEE34jIaBGpIiJBWZsN7aoB57PtxxiPmRCR+zEkufnWdpELHz8/P/73v/+hlCIhIcHm2EEJCQmsX7+eH3/80c4SGhZ75Uy5mLXYy9b2ORWctfbOEmri+PHjHDhwgF27drF9+3a7vQQ0btyZiRO/oU6dtrzzzpN88807+Wo/c2YHJk9unq88BhqNrdiyoCxrddXEbMcUcE+LykTEBVgAPGtD3VHAKLA9l3BRcO7cOfr27QtArVq1GDJkiEWPnMI4V36O30v7rNFHluIpiaEm4uPj2bp1K4GBgabRnjm6d+9ObGwsX331FQEBAab/r/DwcMLDwxk+fDjPPfdcIcp1iUOHvsHT0/YQIe+915f4+Mu4uLgW2zUumpKNLV5DtcxstiiBWCB7IPfqxmNZ+AFNMWQ7iwIeADaISK45LKXUEqPHUusKFWxL5lEU+Pr60qdPH9zd3Tl79qxd8xFYUoC2Ksb8tB86dOg9jT6KA9HR0QwYMMCq1xBAs2bNaNWqFa1ataJz586mdRTR0dH8/PPPhTZVlJmZiVKKBg0eZMKEr+jVa5LNbWNjDSEm3nrrMEFBBYt7pNFYw6IiEJFJ2T73z1E2x4a+fwHqiUgtEfEABgIbsgqVUvFKqfJKqRClVAiwF3jSEV5Dx44dw9PTExGhU6dObN261aZ2ISEhrF+/nri4OP78809mz55tNxnvdbFXWFhYLu8Yc+2zHljmiI6OLjFTRP7+/vTt25fu3btbrbd582YOHDhA9erV7zo+bNgwfvrpJ55//vlCkee77z5g8GAXvv32XVq3fipftoKJEzcwd+6vVKpU/BwYNKUDayOCgdk+v5ajLM/g6EqpdOBlYAtwHPhcKXVMRN4QkWIVsC4lJcWUc3j79u3ExMTkq31AQAC1a9emXLly9hAPMEzJvPHGG5QtW7ZAi72y2mdhqb2IWM3IlR8DtSMJCQnhiy++YMGCBRbrZLeDBAUFMXjwYFPQvVq1atG5c2erIbvzQ9ZK4vy4jWZRqVIdQkJa4uHhVSiyaDQ5seg+miO2kOmzuf2ixB7uo0opUlJSOHLkCMnJyTRs2JBKlSrl2S4zM5OMjAzc3NwKzd/cGmvXrmXAgAH069ePtWvX5rv9tWvXmDt3LpUrV+bVVy2vUs0ZjjonJTH2UE4sXePixYuthurOC0vuo4DRGSGOgwc34O3tT/v2tru1fvjhQCIj9zJu3Frq1Ml/uHRNycdR7qPKwmdz+yUaEcHLy4s2bdrQqVMnm5QAwLZt2/Dw8CAoKIixY8eydOlSu8pZt25dxo8fz+OPP16g9uXKlWP+/PlWlQD8FWrCEsUtGqk5D6eMjAzu3LljMfqouZDbgGl6b+7cuQQGBhaq15SIcOPGBT75ZCRffWV7/KbVq6eyZ88arl6N5vbtxHuWQ6PJiTWvoRYikgAI4G38jHFfj1ExjAjc3Ny4efMmH374IX379i20OWVz5Eywbg/i4uIYPXo0VatWJTg42Gw00uLkuWUpmc6JEyeYPXs2Dz74oNmUlZaUWUxMDBEREcyaNcs0XViYXlP+/hXp0mUE5crZdg+VUmzYYFiQ/957kQQFVc+jhUaTf/JcWVzcsMfU0IEDB3jrrbfw9PTk/vvvp3nz5nkaGbMTGRnJpk2bqFevHo899lihylaYKKU4deoUKSkpNG9uPop4ZGQk9evXp06dOrz++uu88MIL3Lnz11o/Hx+fYhWIzlLobH9/fxISDO8u5lZRWwu5DRQ4HLelqaGfflrKL7+sp1On52jXrq/VPrKTmZnJxo3zSU9P4emnZ9jcTlP6sOfUkC3rCEo958+fZ926dQB89tlnvPjii/lSBPXq1WPs2LH2Es/E1atXuXHjBuXLlycwMP9J0AEaNmwIGOIrubjknhmsVKkSq1evxsvLi6eeMiwEv5ewFvbG0pt9lhIA82/0YWFhuWwEXl5ehIWFMXTo0HydyxZiYo7y66/f0rhxl3y1c3Fx4cknbXc11WgKgh4RALGxsezevZuzZ89y6dIlOnToYFooVpzIK7GMLTRr1gwR4ZdffsHT07OQJSx6LL3ZmyPnG3322E1KKUSEzMzMe0rQY2lEEBPzB5cv/0m1ao3w9vYnPT2FcuUse2flZNeuz4iM3MuDD4ZSt247m9tpSg96RGBnqlWrRv/+/fOumIOffvqJefPmcd9999GtWzcCAgJo08Z+Hh3+/v7UrVuXihUrFriPI0eO5Kv+1atX2b9/P2XLluVvf/tbgc9rL8y92Vsi5xt9aGgooaGhvPTSSyxcuNAUaNBcn/eaoKd69cZUr96Y9PRUhg71xNXVjRUrUvP0NktNvc2ZMwf49tsFnD17kODgFloRaAodW2INaSwQGxvLli1bWLFiBd27d2fixIl5N7oHxowZQ2RkpF2noS5cuMDy5cv56SdDOsVDhw7x+OOPM3PmTLud814IDQ1l0aJFVKtWDRGhWrVqFtdzWDJyZ8WKynLJDQ0NZcqUKabywkzQ4+bmQdmylQkMrEZGRlqe9a9dO8/rrz/E2bMHGTbsferWfeCeZdBocqJHBBgCj/3yyy/UqVOHihUrIiLUrVs3z3Zdu3Zl06ZNxMXFsXz5cosG2JLE77//zvDhw3nkkUfo0qULVapUoUePHtx/f8GiZhYF5cqVIzbWEL1k/PjxVK5cmeHDh5OR8Vc6SGtv9HPnzsXNzY3atf+KnDJ48GDCw8Np2rQpX3/99T3LePToD1y6dJomTbry8ccXbW7n4uJGgwYPEhRUnZ497W+H0jgnWhEAW7duZdy4cbRv3549e/bQqlUrbLFDVK1alapVDbFfhg0bZm8xC4WePXvyxx9/8P3331OvXr1c5ZUrVyY0NJRmzZoBBpvC5s2bi1rMfJHl5glQtmxZQkNDuXHjBm+++SZxcXF5Grlv3bpl1iD+ARNG+AAAIABJREFU559/FpqMP/30Kbt3r2L06BVUqZL7vluiUqXazJqV2/1VoylMtCIAGjRowNChQwkJCeHKlSu54s4UFyZMmMC3337L/PnzeeKJJwrUx4ULFzh37hy3bt0yW96yZctCT89ob3r37o1SioyMDFNmuZdffpmXX345z7ZFFWm1adNueHn5UqVK/QK1j4uL4uLFSCpUCMmXItFobEHbCIAePXqwfPlyGjRoQHp6Ohs2bLBpNelvv/3GRx99xM6dO4tEzvPnz3Py5EmbDKOW2LBhA1FRUTbnXADD+oO0tLznsx2NLelFc3KveR5spUuXEYwcuYS6dduyePEIJk1qTnT0YZvb79ixkrlzH2H79vBClUujAa0ITGStUM1PBrAff/yRl19+mdmzZ+Pt7U3Lli3tKuOHH37IH3/8waP34EMWHBxMcHCwxcxjt2/f5ubNm6bplitXruDu7k61atXM1i9uZGZmcvjwYSZOnMi33+ad78hanoa2bdtSo0aNu9YkFAZXrpzh/PkjJCZey7PuoUMbGTGiLOvXv0HTpt2oWPGe0oBoNGbRigBDftspU6bketPO682wRYsWjB49moceeog7d+7ctQLXHlSuXJlGjRoREBBgt3N8+umnBAYGmuL4e3l5kZGRUaxHBJ9++ildunRBRPDz82Pnzp3Mnz+f9evX59nWWp6G8+fPExMTQ1JS0j3LGB9/hevXL5Censrzzy/krbd+o27dtnm2S0m5RXJyPG3a9GHatO/p0mXEPcui0eRE2wiA//u//7MYetraatJu3brRrVs3MjMzGT9+PG5uxf92hoeHc+DAAUaMGGE2bpGrqyv+/v74+voChjSeaWlpxfrajh07xrZt2wCD8s4Kt/3NN98QERFhda7f2pqBtm3b4unpaXMQQmt8+OFA/vjjJ6ZN+56mTbvZ3K5t27785z83iiS6rcZ50SMCwMPDw+IPzZYAay4uLnh7e+Pu7l7Yot3F/PnzmTRpUr7zJWRn8+bNfPTRR5w6dcps+T/+8Q/i4+OZN28eYIiYWZyVAMCLL77Ipk2bmDFjBj4+Ply5cgUwBNDLa3ovK9JqcHBwrjwP9erVo2bNmgWyPeTE1zeIsmUr4+HhnXflbLi6ulGmTFl8fOw3CtRodIgJI+bi0+cVYO369eskJSURGBiIn59focuUk+bNm3PkyBF+++03WrRoUaA+Nm3axJkzZ3jkkUeoX79gHizFlfLly3PtWu5596LMn2AtH0EWR458zx9/bKNZs+40btzJpn737Pmcjz8eRtu2fXn55eKfGEhT+OgQE0VA1sM+PwHW3n77bebNm8fkyZM5c+YMZcqU4b///a/dZHz11Ve5dOnSPRluCxIddcSIEcTGxrJy5UrKly9f4HPbk4iICLNKAAoeLG758uXs27ePESNGFOqCuj/++ImvvpqDu7tXnorgwIGv2b9/HRkZ6aSlpZCWZl87lMY50YogG1mxZ2zF39+fGjVq4Ovry9q1awkKCrKjdEWzaO29995j/fr1jBs3zhR476effuLs2bPEx8cXS0Xw+eef88orr1gsL2j+hO+++45Vq1bRvn37QlUETZs+bJMSAIiK+pUdO1bw1FOvsWxZMm5u5r29NJp7QSsCYMqUKezcuZOwsDDc3d1ZuXIlbdu25dlnn7XaburUqUydOpXU1FTq16+Pl1fxz9dz5swZIiMjqV27ttmVxadOnWLnzp0MGjTIdGzx4sVkZGRQuXLlohTVZt577z1u3LhhsbygweKGDh1K+/btad3a7Gg6XyxY8DRXr0YzduxamjTpQpMmtoWj/v/2zjwuqnr//8/3sIOKCu4huOGSecnlumRamWVWpm3XUiNN2ywrS7Moy1wys0WztFKvGz/NzMoyt259Ta28ahnuSRcQ3EIQUGTn8/vjzIwDzMAAswnn+XjMg5lzPuecF59zzuf9Wd/vHj3upnHj1oSFXVPp8QUdHXvRDQFw+PBhdu3aRWZmJpmZmSxcuJCMjIwKDYEJX19f7r/f/vizVeXHH3/E29ubPn36VHkAc9myZUyfPp3XX3/dqiO5SZMm8cADD5g9cQKVis3gDu677z4OHjxodZpnSEhIlVcI33bbbdWVZiY5+SBnzhy3y9GcJeHhXQgPv/J9WOl4Nk41BCIyCJgHeAGLlVKzS+2fCIwFCoFUYIxSyj7n8g5kzpw5TJo0iU6dOpGens78+fM90oHcoEGDyM/PJycnp8qGIDIykoEDBxIREWF1f+vWrUs4X7sSmDhxIk2aNLE62D9v3jw3KrvMCy98TW5uNqGh4Vy6lMmpU8fw8wskLKyzXcefORPPmjUv06hRBCNGzHGyWp3ahtMMgYh4AR8CA4EUYI+IbFBKHbZI9jvQXSl1SUSeAOYA/3KWJlt06NDBHLkrJCTEapeJNV599VU2bNjAtGnTuHDhAoWFhYwePdopGpVS9OvXj5ycHJurgu1h5MiRjBw5slLHbN26lfj4eG677TZatWpV5Ws7k6oM9lfEqVOnOHjwIE2bNq12xaBFi47m74cO/cCcObfzj38MYsqU8h36/fnnz5w/fwovLx927/6c8HDnrl7XqZ04cx3BP4F4pdT/lFL5wBrgLssESqkflVKmKtyvgGd6e7NBUlIScXFxZGZmEh0dzZgxYyguLnbKtUSEbdu2sXPnTqshJh3FZ599xpw5c0hISDBvW7hwIePHj+f333932nWrw59//klKSgoPPvggiYmJFBcXk5iYWG2ncd9++y233nor8+fPd5BSjXr1GtO6dXeaNm3HggUjeeyxxsTH7zbvT0zcz549XwGwefN83n//Ps6fP82ECZ8xcuRch2qpzZw/f5o337yVd94Z6m4pbseZXUMtgGSL3ylAeaGVHgHc4u948eLFpKWlER0dTdOmTfnpp584ceIE99xzDwEBtgfoZs6cyfPPP09YWBijRo3CYDBQXFzs1ILaUZhCM5ZmyZIlbNu2jaioKHPtf9CgQTRr1sxmd5I7KS4upkOHDiilKCwsdMjiLxOtWrXi5ptvNrcWq8OXX86kqKiAIUNepE2b7sycuQeAd94ZSlZWKmlpKbRt25NLl7KYOrUXdeqE0K3bnbRt25OiokLCw/9BZGTvauvQuUxCwj7i4ra6W4ZH4BGDxSIyEugOWJ1PJyKPAo9C1acClscHH3xAXFwcgwYNomnTpowZM4a//vqLHj160L59e5vHhYWFERamxZ1dvny5w3U5g7Vr1zJq1CjuvvtuVq9eXWb//fffT5cuXUp0AT322GOulFgp8vPzadu2bQkX1I5i4MCBDhso/+abOeTkZDF48HPm2T9FRYX861+zGDNmIcHBWvjR3NwLdO8+jISEfeTn5zB48HMMHvycQzTolOTXX7WIdAMGPOpmJe7HmYbgJGAZnfsq47YSiMjNQAzQXymVZ+1ESqlPgE9AW1nsaKFjxozh5MmTZp8ygwcPJjU11eEFS3VISkqiQ4cOtG3bttJxhy3x9vYmPz/fpoO8sWPHVvnc7sDf39+muwxXs3o1rF8PFy9CYSEUF8Mdd0CzZjB06Mvk5V0qMQU0JeUQU6ZE0apVN2bN0lbLN2zYggkTNAN99OgODh78gQEDHqVOnYZ89dUPHDzYntatW9OoETRuDIGBYBoyKi6+/CkshKIi7aPU5e2W6UzbldI+pvT5+ZCXB35+2kpWPz+XZqPLaN26O9nZ5+nXL9rdUtyOMw3BHqCdiLRCMwDDgQctE4jItcDHwCCl1N9O1FIupWMA9+zZk5iYGCIjI8sddFy2bBnx8fGMGjWKpk2bUlBQQMOGDZ3SNWTybmoZjasqDBkyhNzc3EoNOF+8eJHz589Tp04dGjRoUK3rX4nY29r44QdYt67kNj8/eOghGDLkRfO2nJwLTJwYSUbGGXx8/G36Efr66zfZv38TjRpF0K3bENavzwVa40q7FxIC113nuuu5kkGDnmbQINsLEWsTTjMESqlCEXkK2II2fXSpUuqQiLwB7FVKbQDeBuoAnxv7q08opYY4S5M9lPY5VF7EqjVr1rBlyxauu+46+vXrx99//82ZM2cc4q2yNJGRkWRnZ1NYWFit83h7e5frRO7o0aOANo3UZCzmzp3LtGnTmDp1KtOmTavW9a8kEhIS6NixIy1atLArbOUDD0DdunDuHBw/rvkdsua929c3gIyMM4gI7757jPXr32D16ik88MBszp07Qf36TfH29qV37+Hs37+JRYseZvr03dSv34aMDOjfX2sFpKZCbq52DaXAYLj88fYGLy/tY9pmGhKy/G36K3I5va8vHDyo+UwqFbOnxrF37wZOnIijd+/7qxw9ribg1DECpdR3wHeltk21+H6zM69vLwcPHsRgMBAZGUlMTIzNuASlDcHDDz9M3759iYyMpGHDhhQVFTl11lBgYKBTzm3J4MGDSUhIID4+3ryoLCQkhBYtWrjk+pXlt99+Y/jw4fTq1YsVK1Y49NyBgYHk5eXZDOtZmptu0rpqEhPhP//RDIHW/VLM//63By8vH1q16oqXlzcffXQKP78gsrL+5scflxAaGs4DD8xm2rTrSU8/yXvvHadfv4fYvHkeyckHCQioR1hYBzIyoE8fcPYylyVLtP/jCvNJaTeFhflkZZ1j+/Z/s3fvVzRv3l43BLWdvn37kpmZSXp6erkRq0ozfPhw8/cjR444TZ8jSUxMZNKkSTRv3tzqYqs2bdrg4+NTotB/+umny/Xl407S09M5fvy4U+JMN27cmOzs7HJnjtnCVPsuLoaCglxefbUXPj5+rFihjc00aNAMAB8fPx566H1CQ8MpLMzH29sXb29fQkK04bVZs/aZz2mqY7hiUprpGk6q17idpKQ4XnmlBwB33fVSrTYCoBsCQAten5WVhZ+fHy1btiQpqeziZmfMVqoMv//+O7Nnz6Zbt25Mnjy5yue5dOkS69ato2PHjlb3b9u2rcrndgd9+vThyJEjTomZUJ1WmMkQaAOxijZt/om3d8l4FZ9/PpXjx39l2LBX6NixHwDvvXecgoI8vLzK/j9at6A3UIyzQ4lYGrKaSE5OFvXqNaZdu14MHz7LYedVSnHq1DECA4PNxv5KwPMnvLuA3bt3c+TIEXNkqtIvv2l7af744w92795dYddBbGwsERERGAwGIiIiyg2UYovk5GTWrl3Ljh07Kn2sJWFhYXz++ed88MEH1TqPpxAYGGieTeVKLO9paGgooaGhGAwGhg2LYOfOWHONWinw9w9ixozdvP76TvPx69ZNY/366Rw4sI2cnAslzu3jY32azvHj2tqD/Pzqh86sCEv9NZHOnW/i44/PMnFixeFMK8O2bQt54YWOLFvmmS1oW+iGoBTlRawqzZgxY+jVqxdHjx7loYceonfv3mUGFU2Dz0lJSSilzIPPlTUG3bp1Y82aNTz//PPV+v/q1q3Lvffey4AB9odL3L59O1FRUYwfP75a177SiI2NpW7duogIYWFh5ntW+p6mpaWRlpaGUoozZ5L49NNHOX5cS2urRr1/vzZ0dvfdU/H1DWDHjlWcOnWsXD1eXpqBUKp6EwbsoaZ3DZkoKMgjOfkgKSmHK05sBw0btiAi4louXcpwyPlchd41ZAV74hLExsZy7Jj24g4ZMgQvLy+Sk5O5cKFk7a4yg8/l0aJFC/71L+e6YSouLqZVq1b4+flx7Ngx88rjnJwc/vjjDxo3buzU61eFH374gU2bNjFgwAAGDRrksPOWnj2WkpJinj1m7Z5akp9/id27Y4ARNmvUw4a9wqVLmXTpcgvr1r3O998vBKBVq66MG7eYVq3KxpNu2bIrf/0FwcHOjXsBNb9ryMSxYzt5881b6dx5ADEx31f7fN2730X37ndVnNDDqPUtggsXLtCyZUuioko68/rmm2/o0qULkyZNKnOMqZAwdQmdOnWK1NRUXnvttTIO66yNN0DVo2ZVl6KiIlasWMGSJUvK7MvLy+PEiRMkJSWVcD/Ru3dv9u3bx6effupKqXbx888/M3fu3Gp3mZXGlgGPjo62eU8tuXhRu79KQWpqEo8+2ohXXrnsYaVbtzu5/vqRBAc3JjKyD2Fh1xivkUlY2NVWz2kqlF0Rx76mtwjmzr2L11/vS07OBZo370BIiGPHALOyznH06E7Onq142rEnUCsNgWX/bqdOnUhOTubkyZKLnrdv386BAweYO3dumX59a4VEbm4uy5YtIygoqMR1rPnzgcoPPh86dIhVq1ZV2/GbUoro6GjGjRuHKV61KT+CgoJo0aIFs2aVHDwLDg6ma9euhIeHV+vazmDAgAG89dZb3FqdYK5WsGWoi4qKbN5TS+rW1e6vtso3jwsXzpGdnW7ef+lSFl988QY//bSC668fyZw5cSxZkslzz623GYXMnllDaWnJfPtt9R3TOcMQ/PXXXn77baPjTlhFcnOzOXBgG8eP/8rVV9/IO+8c4fHHl1b7vJmZf5OYuJ+Cgjw2b57HtGnX89NPV4brmVrVNRQbG8szzzxTIrZtSkoKAQEBxMTElEj30UcfmX+XXlRm7xTTmJgYc2FriYhUOmrWd999x+TJk3n++ee59tqy3Qb24u3tTXR0ND4+PhQXF7NmzZoSXSAnT55k6tSpNG3atNreO51NbGysQ91OW2Jr9hhg9Z5a4usbSJ8+M9myRWsRNGnShkWLzpY4bv/+71i3TgsM1K+fFoI0MLBeuUFozp1LAa4iNfUvWrVqU2Z/QUEeU6f2IT09hZCQlvTuXfVgSc4wBCdO/MGmTfNo0qR1CbfcrsbfP4gPPzxJfPxu6tRxXDfb3r1fs3jxo/TtO5Jrr72dNm3+SXCw4xeXOoNa0yIwdedYC3Cek5PD+++/b/4dExNDTqkllaZ+fbBdmw8ODiYxMdH825bBUEoxatSoSs0g6tChAyNGjKBbt252pS+PZcuW8emnn+Ll5VXuGIaJjIwMpk6dWqal4EwqmmnlqEF4W1ibPWYPwcEhjBv3CR07agapuFhhMHgRHNyY+vUvFwp79nwJaC6p7aWgQHMvkp+fVWbfpk3zSE8/yd13v8q1195Op043VFq7JaYBaUfOGjp2bBfJyQf45Ze1jjtpFalTpwFRUY4bUwIwGLxo1iyS8PAo+vQZzowZu7nllitjgkWtMQQVDfAlJSWZC5yKavwzZ87Er5QnLoPBQEZGBvHx8eZt5XX/WBZeTz75ZIXTS++8805WrVpVIpawI7CndZObm8v06dN56623qj0N1h7KK+RNBmLkyJEVGrDqYJo9VlnHgwEBdejbd4S5H//gwR9JSTnMrl2rSUtLMafr2vVOeva8j3HjPrH73MHBzQFo3rzk4qeEhN9ZseJZYmK6069fNJMmfWP2ZlpVDh7cAkBOju13xl40F+H53HTTOEaMeJsbbhjNxYu2Y0w7E2utuRkzBjB2bEOb/fnp6WV8ZZagqKiQbdsWsWPHCubMOcjtt090iFZXUisMQWxsrF0DfKYCp2FD681FU8E+YsQIlixZQlhYGCJCSEiIefVpdHS0uYCcMWNGhQudLl26xKJFi5xWs7VGZmYmZ86cobCw0KaxstweHBzM3XffTU5OTrk6K7Neory0tlopzzzzjNlA2MKRg/AjRoxg+fLl+Pj4VJzYyNmz2vVN0wdzcy/x738/xYIFD5YIgHL99SN59tm1lZph4uXlD0BAQFCJ7d7evvTvP5pbbhmPj49fhWMYJjcoRUWFVqdN5ufnkJj4m/G7VYfAgBY97fTp4xQVFfLLL2ttdpmtXfsqo0b5UadOQ+644wWOHdvFc8+147//dewcfnv4+ec1TJkSxc6dl5+3nJwssrPPk5WVytGjOyguLjLvW736JSZMiODIkZ+snq+gII/c3It89907HDmynT171pfI/8LC/Aq7Ej2BGm8ITLVLezEVQNa6BS5evGgusExjBStXriQnJ6fEDCJTLX/y5Ml2OYkr/aCYZqdY1oANBgMtW7Zk5cqVdv8vtujevTvNmjUjISHBZheI5f8aEBDAvn37KCjlQc2yBm5PV01sbCyhoaGICCNHjiyRdtSoUYgIoaGhNgv6tLS0clt14PgV4CNGjKBevXp2pxcR3nxzED4+WgWgXbs+PProp4SGtiQq6rZqabE1WBwWdjWPP76U+++fDmjPU1zcNpYseYLCwpLeao8d28V7793D+fOneeKJZkyd2ptdu/4fOTkXUEqZP126aG7AAgIasG3bQjZufJesrHNcvHieRYtGs2PHKpYuHc/EiZFERwcyf/6/2LGj7LOplOLIke0A/Pyz5l57376vuXgxjYsXtcHz7OwMvvjiDbKzM9i37xv27v26zHlOnDhAcvIh8+/CQive/NCMXHFxMZs3z2f9+hll9h858n8kJf1RopY/ceKXfPLJOTZseItp0/qxb9835n0+Pn4UFxebI8hdupRFYWE+Gze+y7JlEzhwYBvjxoWQk3OBZ5/9nF69Lo/LvPxyNx56yJ/09MstQVukpSXz228bKSjQDG9KymFOn3adm9kaP1hcUZeQNdLT01m5cmWZgeW0tDRGjRrFrl27zIPJtmqvixYtKlHA+/j4lClIy6OoqIjRo0cjImbX08nJyYwdOxaDwVCtQdFGjRpx4cIFioq0mk9AQECZ/yEtLa2EAa1oGmxF6yViY2MZPXq0zTww5ZW1MRx7qcogvD2kp6dXnAjw8/NDKSEnJxN/f63WHhjYkCZNGjJ/fqJds43Ko7CwCPDi22/f4pFHXrSZTkSIjX2BEyfiiIoaTEREFJ999go33vgI69a9zuHDP3LNNQOpX78ZyckHWLBAe5aCg5swdep2mjdvT4cOvdm3Txsj2Lx5HqdOHcPPL4ikpP1s374MX99AWrbsQnZ2OkOHvsJXX82gbt1QUlIOs2TJ4/Tp8wCBgcG0a9ebl1/eRkLCPtq10yKsPf30avr0eRClili48GHy8rLZvXsdW7cuICsrlbCwa8q0lGJjJxEXt4WnnoqlUaNWLFjwIM88s5Y2bXqY02RknOXFF6+hUaNW/O9/exAxlPEqOmLEXHr2vI+mTS9P8w4J0fxUdep0A3/+uYucnCzi43dz4MD39Ox5Hz163E14eBe++eZt1q9/g0GDJrB164fcfPMTpKWlYDAYuO66B+nZ894Smr28fADh/PlT1KkTws6dq+jceQCbN88nIKCe2XAD7NwZy5o1L3HDDWMYO/Zj3nzzFtLTTzJhwhoiI6/jl18+o337jtx66+DKPTR2IldCs8WS7t27q71799qd3mAwVLppFh4eTmJiIhEREXZ1Kbkak77qUnrRlDVCQkLIycmxmcakpbx8Vkq5LC+d8Tzb0i4iNGzYkPT0dPOspZCQWzl8OI2zZ9szZw5ERcGLtsvsSvHEE0VkZHjh6xvJ4sUH8PHxIy5uKwaDN5069cdguDyesXnzB6SmJnLffdOYMeMmzp8/zbRpu7hwQav5jh37MUoVc+rUMVavfpGjR7V1GOPGfcpNN41l40ZYtQpuuw0aNnyHoKD63HjjI1y8mM6cOXcwfvwqmjRpTXFxsbGykoOfXyDvvDOUvXu/ZsiQKWzYMBsfH38WL04vEZDHxJtvDiIubgv9+4/mxIk4xo37hBUrnuOaawYSEXEte/d+yX33TSc4uDHLlz/DL798xjvvHGXt2lf5/vuF9O07kvHjV/Lnn7/www+fEh7+D1aseJaoqMF07Nif5s3b063bEAoK8khNTahwplJ+vjZBxNc3gI0b32X16ikMGfKiucD+z38+YfHix6hbN5S8vGz69x/NmDEfkp+fS35+DnXqlIzVkZV1jnPnkmjcuBVvvTWY+Pjd3HHHJL799m2Cg5vw0UenzLFLtm9fxqZN87jnnqn06DGMr7+ezcaN7zBv3v/4+efVLF78GD16DOa//6369FsR2aeU6m51X003BOW9xNb+98DAQLNLiaoYEVcgIg5xd13dwtkyr8o7V0hISLVq+vbiKANZGmsG0/J/t+TXXzX3zfv3w1tvae6iX3rJMTqeeAIyMuD2298lOXkLd945maVLn+T06T+ZPHkj1157ubZoikmtlGLjxnf59tu3mTv3sM3pkidOHMBg8GLLlgU0a9YOpZ5m1Spvbr0VHn7Yfo05ORdYu/YVbrppHOvXT8fLy5unnrI+VrRnz5ecPn2cXr3uo1GjiBItptTURCZN6kyDBs15++1DeHv7UFCQh4+PH4WF+Wzd+hG33DKe06eP8dprfejadQhPPrmC06ePkZ+fa16ZnZ5+ijfe6MfZs38xYcJndk+pLS4uZuzYBkyf/qvZgOTmZpOamkBYWGcyM7U4WuUNyiulmDIlitOnj9G//2jOnDnOmDEf8euvn3P11TfStm0vDAYDSUlx+PoGGPP9cixxkzfazMy/Wb58AgMHDmfatKE2r1cR5RmCGj9GYMuJ3OOPP25eIGWaGVLar5C7PY7awtZgtj2YxhxEpNo19OjoaGJiYjAYDFy8aNsRmiuMgC3HgI6gMv6nTDjDaZvJ9mdlnSEubiu7d68jJCSM8PAorr76phJpTYWJiHDHHc8zf35iuXPmW7a8BqWK+f77haxZ8xK5uVlV0h8QUJfo6HmEhXXmmWc+s2kEAHr0GMaQIZNp3LhVmW6zoKAGtGjRkfvvn2H22mpyxuft7cvgwc/i7e1DaGg4ERFdKSjQavMtWnQs4Z6jQYNm5OVl06FDPzIzz7J06XgSEipelGkwGHj++a9KtCL8/YMIC+sMaAYgJeUQ779/P/v3b7Z6jtzci9Sv34yAgGBGjXqPHj2GkZ5+kmHDYigqKmTWrIF88MGDTJnyD1av1pqNlvlgWlgYHNyYCRPW0KdP1Y1ARdT4MQLTy1qVhUczZ85k1KhRDmsV+Pr6VjvUJGhuMWJjYys9TmBPV5AlgYGBBAQE2CzILcdBXFHYWxIUFIS/v3+JbhlnLoCzx/+UJZZuqB2VaCYmAAAQ4ElEQVSFyRAMHTqZq64KoVu3u2jevL1dYw++vv4VprnqqquZNOlbzp1LRKRhiWu6msDAYKZP311h2NeAgLq8/PJWlFJW04oIs2f/QVBQfWbNuoUjR7bTpcutVn05lebqq28sd/8vv6xh9+7PuXAh1eqahICAurz00mZycy/i6+tfYk3Btm0fceiQFo86KKg+ISFhFBcXOyXMrT3UeEMAlX+JLY/btWtXmYFfa3h5eZkHX60REhLCvHnziImJqXZNPD8/v9JO68C+gXNTd0J4eLi5hm3LeLiz2yw7OxulFCtXrvTIFdDOcNpmOle9eqElYiA7ChGha9fbAfj++5LXdAf2Foq2XHKYMHXfDB8+i8OHt9O+vWOCMA8fPptLl7Lo1y+63HT+/nXKbHvkkUW0afNP+vR5gJEj3zVPLnAXNb5rqLp89NFHrFy5kpCQEJtpAgMDyzUCgYGBzJs3jxEjRpCYmGjTZ4+I2B1Uvirz5e05ZuXKlSilSExMNBtQU7eIIxERVq1aZe5uqQqOXEDmaJzZNaRHKKsakZF9GDr0JerWtf0uV4Y6dRowYcLqKq1QDgqqz+23T6RBg2ZuNwKgGwK7GDFiBOfOnTMXXFB2XMFWQenl5VWmP9nWuMXKlStZunRpuUbHRFXGLyo6Jjw83Grt2mTAqjv9sbQW03mLi4urbGjc5cW1IpzZNeRKQ+CBcyV0nIBuCCqBqeDSlswXlqg52yrcly9fXqZwLW/w0ZrRKV0AV3VgtDz/OfacszLGJygoyKbhsHatqvr28dQB/SvdENSWeAQ6Gk59pERkkIgcE5F4EZliZb+fiHxm3L9bRCKcqceZVHZmiWVt2GRMrO039YNXZsaKPRrB9mwpW9hbWAcGBvLxxx+bddtzrdL5FxISUmE3mTNnClUXZ3St6F1DOs7CaesIRMQL+BMYCKQAe4AHlFKHLdI8CXRRSj0uIsOBYUqpcsNwVXYdgY5jsebKG8oOMjtiALe0m+nBgwfz3XffOcXttKMwrSM4fhymToW2bWH69AoPswuTv8HYWOcbg127YMEC6N0bJkxw7rV07KNBA6hO2I3y1hE4c9bQP4F4pdT/jCLWAHcBll6u7gJeN35fBywQEVGeuIpLB7g8A8uZsQBKX+tKxNFdQ5Y1c71FoONonGkIWgDJFr9TgJ620iilCkUkEwgBzlkmEpFHgUfBc/uEaxtXciHtChzdx+7KbiHL6+hVstrBFTFYrJT6RCnVXSnVvVGjRu6Wo6NTIY4uSN1lCPQWQe3AmY/VSSDM4vdVxm1W04iINxAMuHaJqo6OE3BW15CrDIE+a6h24czHag/QTkRaiYgvMBzYUCrNBsC0LO9e4Ad9fECnJlBTuoZ0Q1A7cNoYgbHP/ylgC+AFLFVKHRKRN4C9SqkNwBJgpYjEA+loxkJH54rH0QWpqXqkGwIdZ3DFuaEWkVTAlUECQik1eO0heKou8Fxtuq7K4am6wHO1ebKuIKWU1UHWK84QuBoR2Wtr7q078VRd4LnadF2Vw1N1gedqu1J1XRGzhnR0dHR0nIduCHR0dHRqObohqJhP3C3ABp6qCzxXm66rcniqLvBcbVekLn2MQEdHR6eWo7cIdHR0dGo5td4QiEgTd2uwhYg0cLcGa4iIY0I8ORg9vyqPiHikzxZPfS9ran7VWkMgInVE5H1gk4h8LCJ3u1uTCREJFJEPgc0i8rSIXGvc7tb7Zcyz94CNIjJDRMqP7u0i9PyqPCLiLyILgR9F5A0Rucm43RPyzOPey5qeX7XSEIhIC2AlIMBgYDswx62iSjIRzQtrNOAPfAyglHLbOk8RaQd8CRQBY4BU4GV36SmFnl+VZwzQGOgPJABLRcTfzXnmye9ljc6vWmkIgFxgsVLqGaXUGWAtsF9EurhLkIj4G/96A77A/1NKHVVKvQ2kGmuW7qyBZAOfKKVeMAYX+g44LSJXuUOMnl+VR0TqWP4EflFKpSml/g38AswypnNccOrK4VHvZW3Kr1phCESkvYgsEpEAAKVUGvB/FknCgNbAMTdoixSRWOADEemulCoE6gC9LZI9DowSkatcVQMx5pm5dqGUOgVsskgSCHRQSqW4Qo+FLj2/Kq+trYisBZaJyO0i4mfc1dgi2SRgmIi0UUopVxRunvpe1sb8qvGGQET6ojWfHkXrQkBERCmVbZHMF0hUSuW5WFsAWjfGH0AcMF5EHgHeAh4XkVAApVQysAoY5yJdtwPrgRfEGGtaRLyVUhctkjXE9S+onl+V12YA3gcOor0HdwJTgRXAYBHpDGA0UF9j7L5ythdgT30va2t+1XhDgBbfYAwQCYwWkXArN+1a4C8AERnnwqZoGyBbKTVHKfUBsBgYBgQACym5CORPtChvrmiKngVGoOXZiyJSx+hN1mBx7U7AIaOeB0Uk0smaQM+vqtAMyABmKqW+BqajxRFvh2ZUY+TyjJPNuM6ho6e+l7Uyv2q8IVBKHUGLnRwPbAPegDJ9xwOAEBH5AngQre/NFdoOAhEi0s+4KQ74DzAZiAEaishrInI/MBbIMR7n1NqHUmovcNSYZ5uBRcZdlvGk+wKNRORLtEKwwJmajLr0/LIDS8OnlDoJdEcrzEy/FwKzjMY0G5gmImPRWlbpLtLlMe+l5TU9LL8sdTk3v5RSNeKD1vSuZ/FbSn8H6gLxwIBSx25Cq63d6yRtoUATSz2Awfj9aWCVxb4otDgNoWjW/yFgKzDCFbqs5Fk9tBpSD4t9fmiF8D7gfifoagb0KbXNE/KrjC5PyC8LbY+U2uZl/PswsNNie320gcUooAFa98caJ+bZIzb2ue29RIuXPhfw9bD8KqPLFfnl8AfSHR/gVeCI8ea8btxmKJXGdJOfBb41fn8ArVC+wYnaXgGOAuuA2ZZajN/bAl8A0cbfIWjBfJo6Oc+s6bKVZ68CPxq/DzL+HepEbYfQatZdjb8tDZRb8qsiXW7Or1fRjMxEG/sNwA/AsxbbVgCdnZxf5eoqlWcuey/RJhMcBBagTTQo/dy7K7/K1eXM/HLaP+WKDxAEvA18BjRBqxFmAhHG/WVquMbv543plgD+TtLmD8xGq0k0Muq7BDQ0PWwWaW9B69vrCtwP/Ai0dIeuUmkt86wQuADMA3ycpM1gfAE2oTW7n0MLpuG2/LJDl61nzOn5ZbzOXON1ylyjlJ5uaPPfhwIj0QroTu7QVY5Gp76XXG5VfmCrUOdyrdtl+WWPLmfnl1MeAmd/gPrGv97ADYC3xb5PgTE2jgtGMxxxwHXO1Gb83szi+w3AauBqGw/eE8B84wPncG2V1WWxP9SYp787W5fFtgXAC8ZCtJ+788seXa7KLyv3siPwK1p3QSTagGKvUulNBc1dwDTgJ6Cvu3VZpHXqe1lKlwE4gFYButp43YexqAhxudbtyvyqUJcz88vhD6kzP2jdAAvQ+oAnAG0t9gna9KkfgSgbxxuALi7S1sG43RutBpsIvAP8F60pZ3rYLGu6Xp6iy+J4bye9nJa6ngY6Gre3BZYZv09Eq4E/C1xlus8uzC+7dTk7v2zcS5O219EGn38GXkObyfKQxTMmztBTXV0WxzvlvbRyL68xbp8FvGfc/hjaYr9ZFu9GmS4ZT9DlzPy6YmYNiUgvtKb5OWAG2qDKBIskBrSHLh84ae0cSqlipVSci7Q9abxmIfAb0Fop9TxaDWOiUS/KYsGTUqrIU3RZaCpUSu1ysq6rLHTFA1ki4gW0B54BeirjQixlfBOM352dX3brstDk8Pyyoa0FWqsItBbKG8DNSqlpwFMm3UZNCidRHV0W+hz+Xtq4l48Yd5u6FT9XSn0MvAg0xbhgTDlxEWJ1dJlwRn55O/JkTiYDeFcptQbMniYHGFf9FSilikSktfF7qmjOl3xN6d2kzR/IU0qZg1krpTaKyAtoL0yirquELh+0+fbXoDV7/0Lra1Yi0k4pdbyW6rKl7WbjvcxUSk03JVRKfSMiE9EKGWfPc7+SdA007tuOthK9q1HXAeNiRFesQvdIXR5pCIwr5krUYpRSR0Uk2WJfAVrXkOUqugFAgIisQKu1vehmbbmWx4hIR7RaQBJwStdVRlcB8IeI7AR2KKW2ikgrYDgOnkPuqboqqa2N6V5aHNsJ7V4m4r576am6Whv3xYvIAmCKaD6pWqO1hBNqgy5reFzXkIj4WGZeqUUo2Rb7ItBqZ5aEAp3R5gD3VEr9n4do8xORUWizm35QSj2slMrXdVnXpZR6VSm11fg9QSn1ptLcRtRoXdXRJiLeIjIMbQr1f5RSo40GTNdlRZdSaj9aN9VOYINS6g6lLR6r0bps4VGGQESeAr4Xzd/3naD1b4rF6jmL762B3cZtd4tIMJrb3willMPjhlZHG5rDsS1ofcof6rrK1yUiTR2p5UrQVV1taDNJtgP/9KR76am6RKS5UipdKfWFUmpJbdBVHh5hCESkoWjdObcCL6ENpEQbm9/mwRsR6aIuD+R0AiJFZBNwH9p4wFGlVI4HavNSSv3tSG01WNc9OKFP1FN1OUjbvWgzXdJVqS4ZXZfNe1noKD2erssulBOnSdn7AbzQvOqZ5oi3BpZhnNuONnK+AtgBNAdaAlloLlidtmLTk7XpumqGLk/WpuuqGbrs0u6Wi2qD1C8AYRbb6lh8N6AtRmln/D0QeLLUOUbXJm26rpqhy5O16bpqhq4q/S8uv6A2Be83NNe9q22k6Qh8Z2NfGWdMNV2brqtm6PJkbbqumqGrqh93jBGcQ3MN0AHNpfAtACLiZTGy3gwtxisi0lOMQb9FRJQDZ7VcQdp0XTVDlydr03XVDF1VwuWGQCl1GvhMKXUerf/MFOGnCDBl4D8AXxF5G23JtelYhRPxVG26rpqhy5O16bpqhq6q4pZZQ+ryLJUVQK6ITDBuLzZa037ATUC6UqqPUurH2q5N11UzdHmyNl1XzdBVJdzdN4U21Wq38XsX498hWAzA6Np0XTVRlydr03XVDF1263e3AGOGbQby0Lzthbpbz5WgTddVM3R5sjZdV83QZZd2N2ecgcs+bsa5OzOuBG26rpqhy5O16bpqhq7KfEwLH9yGiNyG5ucmr8LELsZTtem6Koen6gLP1abrqhyeqste3G4IdHR0dHTci0f4GtLR0dHRcR+6IdDR0dGp5eiGQEdHR6eWoxsCHR0dnVqObgh0dHR0ajm6IdDRqQARKRKR/SJySET+EJHnxSLalI1jIkTkQVdp1NGpDroh0NGpmBylVJRS6mo0n/K3Aa9VcEwEoBsCnSsCfR2Bjk4FiMhFpVQdi9+tgT1AKBAOrASCjLufUkr9LCK/ovmjTwCWo7ksng3cAPgBHyqlPnbZP6GjUw66IdDRqYDShsC4LQNoD1wAipVSuSLSDi1ISXcRuQF4QSl1hzH9o0BjpdQMEfEDdgH3KaUSXPrP6OhYwdvdAnR0rnB8gAUiEgUUAZE20t0CdBGRe42/g4F2aC0GHR23ohsCHZ1KYuwaKgL+RhsrOIsWhMQA5No6DHhaKbXFJSJ1dCqBPliso1MJRKQRsAhYoLR+1WDgtFKqGBgFeBmTXgDqWhy6BXhCRHyM54kUkSB0dDwAvUWgo1MxASKyH60bqBBtcPhd476PgC9E5CE0f/TZxu1xQJGI/IEWynAe2kyi34zRq1KBoa76B3R0ykMfLNbR0dGp5ehdQzo6Ojq1HN0Q6Ojo6NRydEOgo6OjU8vRDYGOjo5OLUc3BDo6Ojq1HN0Q6Ojo6NRydEOgo6OjU8vRDYGOjo5OLef/AyTO99x1bExwAAAAAElFTkSuQmCC\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fb236d3d147047edbcf12b9d7b465021",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.4552057683467865, 'log': {'agg_test_loss': 0.45520710945129395, 'agg_test_loss_p': 0.4552057683467865, 'agg_test_loss_kl': 1.3466556083585601e-06, 'agg_test_loss_mse': 0.3951230049133301, 'agg_test_loss_p_weighted': 0.0849161371588707, 'agg_test_score': 0.4552057683467865}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.607442</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.113882</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.058096</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.467946</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.493560</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.174443      0.519664             0.583979   \n",
       "agg_test_loss_p                 0.174309      0.512404             0.530546   \n",
       "agg_test_loss_kl                0.000134      0.007260             0.053432   \n",
       "agg_test_loss_mse               0.054350      0.046874             0.050668   \n",
       "agg_test_loss_p_weighted        0.033049      0.102418             0.099437   \n",
       "agg_test_score                  0.174309      0.512404             0.530546   \n",
       "n                               2.000000      2.000000             1.000000   \n",
       "\n",
       "                          PL_Transformer_mean  TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                        0.554576                    0.600801   \n",
       "agg_test_loss_p                      0.554576                    0.600801   \n",
       "agg_test_loss_kl                          NaN                         NaN   \n",
       "agg_test_loss_mse                    0.078667                    0.044556   \n",
       "agg_test_loss_p_weighted             0.103580                    0.113829   \n",
       "agg_test_score                       0.554576                    0.600801   \n",
       "n                                    1.000000                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.603395        0.616317   \n",
       "agg_test_loss_p                                  0.603395        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.047060        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114300        0.110414   \n",
       "agg_test_score                                   0.603395        0.609149   \n",
       "n                                                1.000000        2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_pt_mean  anp_c_mean  \\\n",
       "agg_test_loss                     1.042797         1.333418    1.456276   \n",
       "agg_test_loss_p                   1.042797         1.322273    1.448933   \n",
       "agg_test_loss_kl                       NaN         0.011145    0.007343   \n",
       "agg_test_loss_mse                 0.065798         0.045584    0.050474   \n",
       "agg_test_loss_p_weighted          0.191335         0.255269    0.277617   \n",
       "agg_test_score                    1.042797         1.322273    1.448933   \n",
       "n                                 1.000000         2.000000    1.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.507506                  1.629111   \n",
       "agg_test_loss_p                      1.507384                  1.629111   \n",
       "agg_test_loss_kl                     0.000121                       NaN   \n",
       "agg_test_loss_mse                    0.223373                  0.051648   \n",
       "agg_test_loss_p_weighted             0.269838                  0.275075   \n",
       "agg_test_score                       1.507384                  1.629111   \n",
       "n                                    2.000000                  1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean   np_mean  \\\n",
       "agg_test_loss                               2.607442  2.718724   \n",
       "agg_test_loss_p                             2.493560  2.697164   \n",
       "agg_test_loss_kl                            0.113882  0.021561   \n",
       "agg_test_loss_mse                           0.058096  0.056558   \n",
       "agg_test_loss_p_weighted                    0.467946  0.488960   \n",
       "agg_test_score                              2.493560  2.697164   \n",
       "n                                           1.000000  1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        4.716095  \n",
       "agg_test_loss_p                      4.716095  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.050778  \n",
       "agg_test_loss_p_weighted             0.811491  \n",
       "agg_test_score                       4.716095  \n",
       "n                                    1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'anp-rnn_extras_no_det', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': False, 'batchnorm': True, 'attention_dropout': 0.4, 'dropout': 0.2, 'use_lvar': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=anp-rnn_extras_no_det, trial=<optuna.trial.FixedTrial object at 0x7f8d712c80f0> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.2, 'attention_dropout': 0.4, 'batchnorm': True, 'use_deterministic_path': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_extras_no_det/version_-1100/_ckpt_epoch_3.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "788f9a658fca4545a46cbe097f4c13d5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': -0.01660873182117939, 'log': {'agg_test_loss': 0.008417361415922642, 'agg_test_loss_p': -0.01660873182117939, 'agg_test_loss_kl': 0.025026092305779457, 'agg_test_loss_mse': 0.05070006102323532, 'agg_test_loss_p_weighted': 0.006162304896861315, 'agg_test_score': -0.01660873182117939}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.583979</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>0.053432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.099437</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.174443      0.519664             0.583979   \n",
       "agg_test_loss_p                 0.174309      0.512404             0.530546   \n",
       "agg_test_loss_kl                0.000134      0.007260             0.053432   \n",
       "agg_test_loss_mse               0.054350      0.046874             0.050668   \n",
       "agg_test_loss_p_weighted        0.033049      0.102418             0.099437   \n",
       "agg_test_score                  0.174309      0.512404             0.530546   \n",
       "n                               2.000000      2.000000             1.000000   \n",
       "\n",
       "                          PL_Transformer_mean  TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                        0.554576                    0.600801   \n",
       "agg_test_loss_p                      0.554576                    0.600801   \n",
       "agg_test_loss_kl                          NaN                         NaN   \n",
       "agg_test_loss_mse                    0.078667                    0.044556   \n",
       "agg_test_loss_p_weighted             0.103580                    0.113829   \n",
       "agg_test_score                       0.554576                    0.600801   \n",
       "n                                    1.000000                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.603395        0.616317   \n",
       "agg_test_loss_p                                  0.603395        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.047060        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114300        0.110414   \n",
       "agg_test_score                                   0.603395        0.609149   \n",
       "n                                                1.000000        2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     1.042797                    1.307930   \n",
       "agg_test_loss_p                   1.042797                    1.238475   \n",
       "agg_test_loss_kl                       NaN                    0.069454   \n",
       "agg_test_loss_mse                 0.065798                    0.054398   \n",
       "agg_test_loss_p_weighted          0.191335                    0.237054   \n",
       "agg_test_score                    1.042797                    1.238475   \n",
       "n                                 1.000000                    2.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  anp_c_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                    1.333418    1.456276             1.507506   \n",
       "agg_test_loss_p                  1.322273    1.448933             1.507384   \n",
       "agg_test_loss_kl                 0.011145    0.007343             0.000121   \n",
       "agg_test_loss_mse                0.045584    0.050474             0.223373   \n",
       "agg_test_loss_p_weighted         0.255269    0.277617             0.269838   \n",
       "agg_test_score                   1.322273    1.448933             1.507384   \n",
       "n                                2.000000    1.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean   np_mean  \\\n",
       "agg_test_loss                             1.629111  2.718724   \n",
       "agg_test_loss_p                           1.629111  2.697164   \n",
       "agg_test_loss_kl                               NaN  0.021561   \n",
       "agg_test_loss_mse                         0.051648  0.056558   \n",
       "agg_test_loss_p_weighted                  0.275075  0.488960   \n",
       "agg_test_score                            1.629111  2.697164   \n",
       "n                                         1.000000  1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        4.716095  \n",
       "agg_test_loss_p                      4.716095  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.050778  \n",
       "agg_test_loss_p_weighted             0.811491  \n",
       "agg_test_score                       4.716095  \n",
       "n                                    1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'anp-rnn_no_det', 'params': {'use_deterministic_path': False}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=anp-rnn_no_det, trial=<optuna.trial.FixedTrial object at 0x7f8d6e53e9b0> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_no_det/version_-1100/_ckpt_epoch_1.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "526d9d5ec8b446378a33f641b4ebd752",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.4863528311252594, 'log': {'agg_test_loss': 0.5092053413391113, 'agg_test_loss_p': 0.4863528311252594, 'agg_test_loss_kl': 0.022852495312690735, 'agg_test_loss_mse': 0.05612186715006828, 'agg_test_loss_p_weighted': 0.0918201208114624, 'agg_test_score': 0.4863528311252594}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.047060</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114300</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.603395</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                   0.174443             0.546592      0.519664   \n",
       "agg_test_loss_p                 0.174309             0.508449      0.512404   \n",
       "agg_test_loss_kl                0.000134             0.038142      0.007260   \n",
       "agg_test_loss_mse               0.054350             0.053395      0.046874   \n",
       "agg_test_loss_p_weighted        0.033049             0.095628      0.102418   \n",
       "agg_test_score                  0.174309             0.508449      0.512404   \n",
       "n                               2.000000             2.000000      2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                        0.554576                    0.600801   \n",
       "agg_test_loss_p                      0.554576                    0.600801   \n",
       "agg_test_loss_kl                          NaN                         NaN   \n",
       "agg_test_loss_mse                    0.078667                    0.044556   \n",
       "agg_test_loss_p_weighted             0.103580                    0.113829   \n",
       "agg_test_score                       0.554576                    0.600801   \n",
       "n                                    1.000000                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.603395        0.616317   \n",
       "agg_test_loss_p                                  0.603395        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.047060        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114300        0.110414   \n",
       "agg_test_score                                   0.603395        0.609149   \n",
       "n                                                1.000000        2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     1.042797                    1.307930   \n",
       "agg_test_loss_p                   1.042797                    1.238475   \n",
       "agg_test_loss_kl                       NaN                    0.069454   \n",
       "agg_test_loss_mse                 0.065798                    0.054398   \n",
       "agg_test_loss_p_weighted          0.191335                    0.237054   \n",
       "agg_test_score                    1.042797                    1.238475   \n",
       "n                                 1.000000                    2.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  anp_c_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                    1.333418    1.456276             1.507506   \n",
       "agg_test_loss_p                  1.322273    1.448933             1.507384   \n",
       "agg_test_loss_kl                 0.011145    0.007343             0.000121   \n",
       "agg_test_loss_mse                0.045584    0.050474             0.223373   \n",
       "agg_test_loss_p_weighted         0.255269    0.277617             0.269838   \n",
       "agg_test_score                   1.322273    1.448933             1.507384   \n",
       "n                                2.000000    1.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean   np_mean  \\\n",
       "agg_test_loss                             1.629111  2.718724   \n",
       "agg_test_loss_p                           1.629111  2.697164   \n",
       "agg_test_loss_kl                               NaN  0.021561   \n",
       "agg_test_loss_mse                         0.051648  0.056558   \n",
       "agg_test_loss_p_weighted                  0.275075  0.488960   \n",
       "agg_test_score                            1.629111  2.697164   \n",
       "n                                         1.000000  1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        4.716095  \n",
       "agg_test_loss_p                      4.716095  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.050778  \n",
       "agg_test_loss_p_weighted             0.811491  \n",
       "agg_test_score                       4.716095  \n",
       "n                                    1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'TransformerSeq2Seq_PL_lstm', 'params': {'use_lstm': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.transformer_seq2seq.TransformerSeq2Seq_PL'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=TransformerSeq2Seq_PL_lstm, trial=<optuna.trial.FixedTrial object at 0x7f8ded8ed588> params={'learning_rate': 0.002, 'attention_dropout': 0.2, 'hidden_size_power': 5, 'hidden_out_size_power': 4, 'nhead_power': 3, 'nlayers': 2, 'use_lstm': True, 'agg': 'max'} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'patience': 2, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/TransformerSeq2Seq_PL_lstm/version_-1100/_ckpt_epoch_11.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6188c60aea9f47d8ba3ad77840151965",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=57.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.6017508506774902, 'log': {'agg_test_loss': 0.6017508506774902, 'agg_test_loss_p': 0.6017508506774902, 'agg_test_loss_mse': 0.045472919940948486, 'agg_test_loss_p_weighted': 0.114017054438591, 'agg_test_score': 0.6017508506774902}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                   0.174443             0.546592      0.519664   \n",
       "agg_test_loss_p                 0.174309             0.508449      0.512404   \n",
       "agg_test_loss_kl                0.000134             0.038142      0.007260   \n",
       "agg_test_loss_mse               0.054350             0.053395      0.046874   \n",
       "agg_test_loss_p_weighted        0.033049             0.095628      0.102418   \n",
       "agg_test_score                  0.174309             0.508449      0.512404   \n",
       "n                               2.000000             2.000000      2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                        0.554576                    0.600801   \n",
       "agg_test_loss_p                      0.554576                    0.600801   \n",
       "agg_test_loss_kl                          NaN                         NaN   \n",
       "agg_test_loss_mse                    0.078667                    0.044556   \n",
       "agg_test_loss_p_weighted             0.103580                    0.113829   \n",
       "agg_test_score                       0.554576                    0.600801   \n",
       "n                                    1.000000                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.602573        0.616317   \n",
       "agg_test_loss_p                                  0.602573        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.046267        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114158        0.110414   \n",
       "agg_test_score                                   0.602573        0.609149   \n",
       "n                                                2.000000        2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     1.042797                    1.307930   \n",
       "agg_test_loss_p                   1.042797                    1.238475   \n",
       "agg_test_loss_kl                       NaN                    0.069454   \n",
       "agg_test_loss_mse                 0.065798                    0.054398   \n",
       "agg_test_loss_p_weighted          0.191335                    0.237054   \n",
       "agg_test_score                    1.042797                    1.238475   \n",
       "n                                 1.000000                    2.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  anp_c_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                    1.333418    1.456276             1.507506   \n",
       "agg_test_loss_p                  1.322273    1.448933             1.507384   \n",
       "agg_test_loss_kl                 0.011145    0.007343             0.000121   \n",
       "agg_test_loss_mse                0.045584    0.050474             0.223373   \n",
       "agg_test_loss_p_weighted         0.255269    0.277617             0.269838   \n",
       "agg_test_score                   1.322273    1.448933             1.507384   \n",
       "n                                2.000000    1.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean   np_mean  \\\n",
       "agg_test_loss                             1.629111  2.718724   \n",
       "agg_test_loss_p                           1.629111  2.697164   \n",
       "agg_test_loss_kl                               NaN  0.021561   \n",
       "agg_test_loss_mse                         0.051648  0.056558   \n",
       "agg_test_loss_p_weighted                  0.275075  0.488960   \n",
       "agg_test_score                            1.629111  2.697164   \n",
       "n                                         1.000000  1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        4.716095  \n",
       "agg_test_loss_p                      4.716095  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.050778  \n",
       "agg_test_loss_p_weighted             0.811491  \n",
       "agg_test_score                       4.716095  \n",
       "n                                    1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'TransformerSeq2Seq_PL', 'PL_MODEL_CLS': <class 'neural_processes.models.transformer_seq2seq.TransformerSeq2Seq_PL'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=TransformerSeq2Seq_PL, trial=<optuna.trial.FixedTrial object at 0x7f8ded9901d0> params={'learning_rate': 0.002, 'attention_dropout': 0.2, 'hidden_size_power': 5, 'hidden_out_size_power': 4, 'nhead_power': 3, 'nlayers': 2, 'use_lstm': False, 'agg': 'max'} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'patience': 2, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/TransformerSeq2Seq_PL/version_-1100/_ckpt_epoch_4.ckpt\n"
     ]
    },
    {
     "data": {
      "image/png": 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Fy3WuX7/C+vVLqVatNn37jqBDh54A/PrrOjZsWMbTp0/o0WOQzvOPHg0AVDuRlboFCq+CsiJQMCrTpk1LUwKpxMTEMG3aNCNJlHfcuXOdDRuWcvTobo322rXr88UX39G9u2ERQYoSUHhVlBWBglEJDg5+qfbCRJUqNZkxYzEuLh7ExDzn4cN7WFpaUb58FcqXr8KJEwfp06c5jRu35v33P9U7lrIqUHgVlBVBDqLYug0n9VnpcoR6eHjksUR5j6dneQYPfp+2bbty6NAOdfK5KWnHo6MjOXPmBDduXMl07s2bV+natT6vv+5M5cpWjB3bOy9FVyhkKIogh0i1dQcFBSGlTLN1Z1QGirLQfFbaKFasGHPmzMljqYxLiRIl8fKqgKNjKW7fvs5vv+3H1dWTTZuO88EHX2Tq/+jRQy5dOsejRw9JSIgnLi5Gy6gKCoahJJ3LIby8vLS+2Dw9PQlUZyLL6BgF1Utv5cqVhd4xmh5dzwrA1dWVr7/+usA+j5dJOnf9+hXu3w+lYsVquLi8iPpZtGgGixfPZNy46UyYkFkJADx79pQbN/wRQlClSg0sLa0U01ARILeSzikrAh287MzdEFt3UXaMpkef/X/Tpk0FVgm8LBs3rmDw4Hbs379Vo93DozzNmr2lN3+QrW1x6tRpQO3a9bGyslaUgMIroTiLtZCdkEYPDw+ts9z0tu6i7BhNj65nZWFhQbly5bScUbhISkoiOjoKb+9KNG7cCg+P8hrHU3MIRUVF8MMPC7GxsaVfv1FGklahKKCsCLSQnZn7nDlzKFasmEZbRlu3LgdoUXCMpmfOnDlYW2vmzjEzM2P69Om4uroaSaq84fnzZ1SsaE6TJp4MGvQeGzYcoU2bLoSF3ad166q8/fYbaX0fP47kyy8nsnLl/EzjnDx5iO+//5Jjx/YydmxvJk8elpe3oVDIUBSBFrIzc/f19WXlypXY2alyx5ctWzaT7d8QZVEU8PX15bPPPsPR0REhBJ6enqxZs6ZImMgePFAVnI+LiyUuLjat3czMnFu3AggMvJEWSeXoWJJhwybQp8+ITOMcP76XBQumcfbsSfbt28KxY3vz5gYKMImJiTx9+sTYYuRLFNOQFgwx82jD19cXPz8/9u/fz/Lly+nSpUum4wBDhw4lISGBMmXKsHDhwiJjE0+PqakpkZGRTJo0iXnz5nH37l327duHs7MzdevWNbZ4ucajR2EAvP5607QUEQD29iU4fNifYsVsmTBhAHv2bGbBgrV8+un/tI7TtGlbrK2L0azZW/j41FWK12fB3bvBNGniiYuLO6dPFy1TrCEoikALc+bMYcSIEcTGvpixGTJzHz9+PPv37+f999+nSZMmWvv4+vrSqlUrnj59ipubWyYTSVGhRo0adO3aFVNTU3bs2MGpU6dYuHAhQ4cOZfXq1cYWL9eoWLEay5dvw96+BB071ubOnRvs2nWeypV9qFChKgCJiQkkJydjZqb7z7Nly460bNkxr8Qu8BQrZoOJiQlCKEYQbSiKQAupM/RBgwaRnJxscEhj6iqiRYsWODrqLjbu7OyMs7NzzglcAGnfvj3r16/nq6++Smtr27Yt1atXN6JUuY+jY0neeuttAGJjY0hIiMfaWtNc+N13P5OU5IcQgsDAm8TEPKdyZR9MTU2NIXKhQErJ3r3/Urp0WWOLki9R1KMOfH19CQwM5O7duwQGBhpkvvnpp5+4du0arVq10tvPz88PR0dHxozRnlWyqFCtWjVcXFwAaNKkCQcPHuTDDz80slS5z+rVi+jevSFTpy7A3/85bm5eACxdOpfPPhtLVFQE5ubmmJmZ0aVLPTp2rM3z5081xrhxw5+AgP+IjY1hz55f2LhxhYbPQUGTQ4d20L59Tb7+erKxRcmXKCsCHSQlJeHg4IC1tbXBM7ESJUqQlJTE+vXrMTc3Tws5zcjkyZOJiooiNDQ0J0UuUERERDBixAgmTZqEpaWlscXJM4KDb/Ptt5/z9OkTgoJuaawGtm1bx61bAQwa9B6OjiUBlSnp+fNnJCYmaowzceIgLl06z/btZ5g16wPCwu5TrVodzM3NqV69Tp7eU0HA2roYFStWw9XV09ii5EuUFYEOLly4QPHixWnYsOFLnRcREcF7773HvHnzdPYJDw8H4IcffnglGQsy48ePx9nZmV9++SWtTUrJ8+fPjShV7vPvv2d4+vQJZcu6ZcouOnr0ZD7/fAkrVsxj9Oju3L59nV9//YMDBy7h5FRKo6+HR3kqVapO8eL2dO7chz59RvD22w3o1KkuDx/ey8tbKhB07dqPGjXq8fvvhwkLu29scfIdyopAB6kzsHPnznH79u0sNzpJKRkxYgQWFhYMHz6cihUr6uy7ePFinj9/rtePUNixtbWlVKlS2NnZIaUkKSmJ4sWLk5SURGJiYqHdKevu7k2vXkMoV64yEycOokwZF77+WuUc79lzMACdO7/G5ct/M2bMVJ3jLFmyOe3n1MiizZtVE4vYWCXvkDYuXjzLrVsBREdHKb6CDCi5hvTQpEkTTp8+ze+//64zCiiVp0+fYmdnh7m5OS4uLgQHB+Ph4cGcOXOKZHioIURFRaUpw6+++oo5c+aQlJTEgwcP0vZjFDQMzTUUEnKHZs3K4eLiwenTmqHKf/11gqioRzRu3Ao7O4ecF7KIcu7cKVJSUqhR4zWKFbMxtjjZQsk1ZAQ+/PBDli1bRvny5bPsa2ZmxrBhqt2dWWUgDQ4OZvDgwUyZMkXbUEWGvXtfbIKaO3cuixcvJiYmpsAqAUOJiAhn69Y1NG3altmzl6W1h4c/4MSJg9jaFqd9+x7Y2TkwadIQGjf25OzZ33WO9/z5M8LC7ivOYj2MG9eXiRNV1d4KqhLITRRFoIfu3bszevRoypbNehlpbW3NkSNHMjn1MqamiI+PZ8uWLaxdu5Zdu3bluMwFBT8/P0aNepE/Jzo6mrFjxxb6tNwxMc8JDLzB4sUzCQq6SYsWHdKOHTmym8GD27Fu3XdpbZGRj7h3L5gnTx6ntUkpadDAhaZNvUlKSmLcuL40aODCpk0/EBcXS1JSUp7eU0Hg3r1ggoNvY2KivPK0oTwVHWzfvp0WLVqwZMkSg88xJDXFo0ePmDhxIoBeh3JhJ2M6blApzf79+xfqOg1+fsvp2bMxAIMGva9xrFy5yjRu3JpLl86xZctPxMfHMXv2Mn7//Q5NmrRO65eQkEBY2H0ePryLmZlZWoTRzJnjqVq1GCdOHMi7GyogrFq1m9mzl/Hnn8cICPjP2OLkO7JUBEIIEyFEHSFERyFESyFEaUMHF0K0E0JcE0LcFEJksoMIITyEEMeFEP8IIS4JITpoG8cYBAYG8ttvv7F48WLu3r2bZf87d+5QsmRJrcfSp6YwNTXlrbfe4p133qFTp045Jm9ekVOFdTIqgfToMqkVBszNLXB0LEmXLn2xtLTSMPk0aNCMDRsOc+9eCB9/PJS4uFjKlnXDzc0LK6sXO9AtLCw4e/Y+R49eA2D+/J80spMmJysrgow4ODhy6dJ5Fi2awT///GVscfIdOp3FQojywGSgNXADCAesgEpADLACWCulTNFxvilwHWgDhALngL5SSv90fVYC/0gplwkhqgH7pJRe+gTOK2dxaGgodevWJTw8nE2bNtGnTx+9/ZcuXcrYsWMxMzPTWJoXpsIzOVlYx8XFhfv39YfxpS/qU1AwVNxffvmRyZOH0aPHIBYsWKNxbMaM93n+/Clz5izH0tLK4Gun/i0X1ogrfYSF3WfKlOG4unoya9ZSrX327PmFf/89Q/v2PXjttUZ5LGHOkFvOYn3ho7OBZcAomUFbqFcF/YABwFod59cHbkopb6vP2Qx0BfzT9ZFAqmfQHsg3AdBubm589NFHnDx5kjJlymTZ39XVlY4dO1K6dGmOHTuWZdTQtm3biImJwdfXt8D84epLz/2yimD+/PlazUPpKcx1GiwtrahcuQbVqtXWaJdSMnHiHGxsbDExMeHYsb2cOHGAFi060Lx5e71jFpTvUW7w5Mljjh/fR/nyVdLaAgNvMmZMT6ysrKlYsRqOjqX49NOFRpQy/5Jr4aNCiJ5AOynlcPXvA4AGUsr30vUpCxwCSgA2QGsp5QUtY40ERgJ4eHi8pqvMYUFASokQAisrK+Lj44mNjcXKyvBZnzExMTHRWmxeCEFKitaFoV78/PyYNm2azrKVhXlF0L9/a06fPsqaNQd488230tpbtarC7dvX+P33QNzcPNPKVo4fP4MPPvgcgNDQIL77bjZeXhUZPfpjfv55NRs3LqdHj8EMHDg252+qAPDs2VPOnDmBpaVVmj8lLOw+DRq4pPVxcirF+fNhxhIxRzBq+KgQopEQop8QYmDqJ/viaNAXWCOldAM6AOuFlvSAUsqVUsp6Usp6pUqVyjRIbrB//34WLVrElStXsuyb0W4+f/58vLy8aNy4caa+R44cwdzcnPj4eHx9fbP1AjUWOVVYR0rJp59+yp07d7hz5w4bNmwoMnUaVq9eRLduDbh27TK1atXHwsJC47iNjS0Ad+5cB6B58/ZMn/4tzZu/cJ+Fhd3j559XcejQdgD++OMoly6dZ8aM9xgwoC27dm3Ko7vJP9jaFmf37k3MnDmeoKBbgCplB0Dnzn348suVjBkzldu3r3PvXogxRc2XGOIsXg8sAJoAr6s/WrVKBu4C7ul+d1O3pWcY8AuAlPJPVD4I7R7XPGbz5s18+OGHnDt3TussOJVUu3n6vQMzZswgKChI60w3Li6OpKQkOnbsqPUFmJ/JqcI6CQkJzJkzh1mzZiGESCvqkxqmW6ZMmULjV8lIcPBtLl48y5gxU9mx4wwNG7bQOL5y5U4A3n//HQDq1HmDIUPGUbt2/bQ+7u7ezJmzguHDPwJUO4uHDBlP5859OHXqMIGBN/PobvIXQUG3uHHDn0ePHgIvsgN4e1eib98R2Nk50KpVZRYu/NSYYuZLDEkxUQ+oltFPYADngIpCCG9UCqAPKr9CeoKBVsAaIURVVIog/CWvkyu89dZbrFu3jiFDhhAeHs6kSZO09tNmN4+NjcXFxQV/f/9M/Tt16kR8fDzJycm5IndukvpiHj58OHFxcXh4ePDll19m64U9a9YsjdWQr68vkZGRjBs3jl69ehVKJQAwYsREunXz1Zn8zNTUjNKly+rdUVyqlDP9+o3U+H369G+4ffs6PXsOwdtbd3qTwkpoaCA+Pq/RqdM7aUn33n//U957b1ra35qjYym8vCpQokS+mGvmK7L0EQghtgDjpJQvnalJHQ76DWAK/CilnCOEmAmcl1LuUkcK/QDYonIcfyylPKRvzLxMMTF16lTmzp3L7NmzdZZRzK7dPCkpiZiYGKytrTE3N88xmXObxMRELCwsMDExISkpKUcdlCdPnuSXX37hzTffpFevXjk2bl6S0y6NiIhw/P3/xd6+BDVrGrIQL5ocPLid0aO706ZNV1au3JHWfurUEVasmEepUs68++4UKlasZkQpX5089xEIIXYLIXahMtX4CyEOCiF2pX4MubCUcp+UspKUsryUco66bbqUcpf6Z38pZWMpZS0pZe2slEBeM3PmTJKSkvTW0s3Kbq4r7r5p06bY29uTV0otpzAxMWHnzp107tyZb7/9NkfHbtasGd99912BVQI5wZkzJxkwoC3z56u+c3///ScDB7bl22+/SOsTEnKHI0d2c+NG5hVnUcXFxYO+fUfStGlbjfbr1y9z6tRhtm9fz08/5ez3tTChz0ewAFgIfA50A75U/576KdTcunWLwMDALLfr67KbN2nShCZNmjB8+HAN/8GwYcN4/fXX+euvvyhevHimlBT5HVNTUxo1asTOnTv5/PPPszXG8+fPOXPmDNevX89Z4QoA+/Zt5bvv5nDz5lWtx+PiYjh16jAXL54FoHTpsjRu3EojzPTYsb2MGNGFdeu+1zj31q1rrFmzpEjuLK5R4zV69x7Ggwd3OXBgGwCLF89i9epFFCtmg5NT6Uyhugov0KkIpJQn9H3yUkhj0L17dypWrEhAQIDefqmOTk9PT4QQeHp6snLlSiIiIjh9+jRxcXEa/ePj4zl//jwff/wxT548oVmzZrl5G7mCk5MTo0aN4qOPPuThKIwAACAASURBVMqWr8Pf35833niDfv00XUaxsbEEBQVludGsILN79yYWLvxU52y+YsXqWFsXw8VFFWdRq9brbNhwhI8+mpXWx8XFg5YtO1G1ak2Ncy9fvsAXX4xLi5Ypaly9epGlS7/k2LE9AFy6dI5794JZtMiP8+cf0rJlJ1q1qkKvXvozCRdFsnQWCyG6A18DpQGh/kgpZaFOEenq6sqlS5fo378/Y8eOZfTo0Tr7xsTE4ObmxuzZs+nfvz8Ajo6OHDigfWYmhMj0EiwohIWFsX79elq0aME777yTrTEsLS15/fXXqVq1qkb74cOH6dq1K507dy60Cfnat+9JuXJV0grVZ8TFxZ2jR6+l5Q/SRps2XWjTpkum9nLlKjNgwFhq1Xo9x+QtKDx5Ek3Zsm6MHj2ZBg3eBGDChC/o23dkmm/FzMyM27evaSTwU1BhSNTQPKCzlFL7WraQsm/fPpYtW8aYMWO4ePGi3r7//PMPp0+f1rBtt2/fHk9PT60hpB4eHtSqVSvHZc4LgoKCmDhxIvXq1cu2IqhZsyZnz57N1F68eHE8PDxwcnJ6VTHzLV269M2yT9mybpnaUlJSssycWaPGa9So8Vq2ZSvI+PktY968Txg9enLaDuzq1etQvXodTp8+yrFje2nbthuHD/tjY1PcyNLmPwzZUPawqCmBVNq1a8eOHTt499139fabPn06x44do1u3bhrt+uLuv//+e5o3b87WrVtzXO7cpGTJkkyYMAF3d3dcXFxeOflcelq0aEFQUBA//fRTDkhaOAgLu0+VKtY0bPhCOSQmJhaojYh5gaWlFaVKOWNvXyLTsf79WzNlynD27v2FChWqalW0RR19UUPd1Wah80KIn4UQfVPb1O2FHm9vb7p27UrNmjX19nN2dqZFixZ4er6IDb9//z5WVlZpL00hBO7u7kyYMIHExEQOHz7MiRMnClwKBW9vb1577TX27NnD/fv39RbgKcpcu3aZ8eP7ERoaqNF+69Y1/P0vEhNjWG1mS0sr4uPjNIrOTJs2ivLlTdmyRVNhJiQkEBoaRGhowU3Bkl2GDv2Av/66S6NGrTh16ggAW7euYePGlcyevYwWLTrw9tsDjCxl/kXfiqCz+mOHKtto23RtBS9/8kuQkpKCt7c3Pj4+encVg+7w0LNnz9KzZ09Onz5NpUqVkFKyfPlyQkJCGDJkCNWrV+f48eNZZjXNj0ybNi3LAjz68PPzo0yZMjo36RUGFi2azq5dm5g/X7Pu8MSJg+jYsTYBAZcMGsfOzoGrV2P499/ItLbUZ58xM+n165dp2tSLUaM0V6ZFBSkl3brVZ+DAtiQlJbFw4adMmzaKFi068uOPe7GxsWXJktl89tlYoqOjjC1uvkKfj+AwcFBKGZFXwuQXYmNj02bqq1evxs3NjXbt2mXq5+fnx4gRI4iNVc3WUmfGACEhqnwmv/32G6BKu5yYmJhW+7hjx440alTwUuFGRUUZVIBHH48fPyYsLIznzzVnxdevX6dHjx6UK1eOnTt3vrKsxqRJkzbcvn2NunU1/489PSsQGxtjsJ1alaDQWqNt0aL1mVJXAxQrZouLiwelSjlnW+6CjKmpKfXrN8Pc3IK4uFi6dx9EZGQ4xYvbp/XZuvUngoNvM2zYBK1mpKKKvnoEk4G3AHPgKLAfOJuNVBM5Sl7sLE5JSSEwMJCtW7cyefJkOnXqxO7duzP18/Ly0uoMdnJyIjY2Nkfy9uc3VqxYoTOCytBsoXFxcURHR2NhYUGJEi/+GK9evUq1atWoXLlylmG7+ZUCZukrsCQkJGgk7Fuw4FNOnNjPhAkzadmyo87zfvnlR2JjY+jatR8ODo55IWqOkuc7i6WUX0spW6LKCnoRGAr8LYTYqM5AmnWS/gKKiYkJ5cqVo127dgwbNoy2bdtq7adrBhwREZFlGcarV6/yv//9jz179uS4/LmJtbU1pUuXzpQW42WSz1lZWVGmTBkNJQAq/8PFixc1itoXVB49Csux2sFTp45i2LBOREY+ypHxCjInThygaVNvpk0bpdEeHHyLy5f/5tmzJ3rP7917KIMGvVcglUBu8tL1CNT5gdoDbaWUb2XVP6fJy1xDWaFrRZAV1tbWDBw4kBUrVtCvX78C6WT93//+x6RJk0hJScHT01NnAZ6iRuqKoHp1W+LiYrl48TG2tq8WrtisWTlCQu7w22838fQsz7RpowkLu8+MGd/i5ub1yjIXJC5ePEe3bvWpXr0Oe/b8ndYeGhpEZGQ47u7elCjhRFJSEnfvBlGsmE2hMpUZux6Bq7omQTNUuYfOGUMJ5BXBwcGMHz+exYsX6+2nKzw0qzj42NhYtmzZwocffkjHjrqXsfmZbt26pTnVAwMDX0oJbNiwgeHDh3P8+PFclNB4xMbGEBPznJSUFAYP1vQtde36Oo0be/LgQdZ1sFOZOfN7fvhhFyVLqhbhf/xxjCNHdpGQkKDRLz4+nnbtatKuXY1Xv4l8SrVqtdm37yI7d57TaHdz86RmzXosXTqXqlWLsWLFPJo3r5DpWdy8eZUTJw681PMvChiys/hr4B1UJSZT8wlI4GQuymVUQkJCWLx4Ma+//jq9e/dGCKG1XKWvry83b95k+fLlPHz4MK00JZBlGcaoqCgWLiy4KZs8PDwICQnB2to6684Z+P3331m9ejX16tWjRYsX+fjj4uKYNWsWJiYmzJo1S88I+Rtr62L88UcIjRq5ExJyR+PY/fuhhIc/yHJzWHoylqj86qtVREdH4ezsqtFubm7OtWv/AS8q4RU29uz5mbNnT9K1az/eeKN5puMmJibExcXy6NFD3N29M5mAli6dy/bt61mwYC09euRUfa2CjyE7i7sBlaWU8bktTH7By8uLb775htDQUMqWLUvt2rX5559/tPbdt28fDx484PTp05migPSVYXzZql75halTp7J9+3ZmzZpFz549szXGoEGDqFevXloEVSopKSl8+eWXWFlZFWhFAKoaAceOXc/0Itq79x/i4+Nxciqd7bEbNNCen8rExIS9e/99qYL3BY1z535n8+YfqFHjNQ1FsGHDMiIiwujdeyjjx8/A2roYM2ZkzjZapUpNmjRpg5NT3lQ6LCgYoghuo4ocKjKKwNXVlfHjxxMQEMC6desyOTXT4+PjQ3JyMq6umrMzX19ffH190yqYZYwg+uKLL7hx4wZSSipVqpRr95LThISEEBAQkBYymx0aNWqkNXTW0tKS2bNnF5gaztr466/Un8yAijx8mLGHyl4dGmr4mFeuHOfBg5v4+LSiTJlyWfRWpS4JzxflnXKeSpUG0KWLI8uWLWHPnuOMG7cZgFWrVhIU9C+lS3fG29tG5/k1a06kZs2JQPr/q4LDq/gI9KEvfHQJKhOQK6pv11HSKQMp5bjcEUk/+clZbCipRdqDg4PTzEd3795l8uTJAAXK2frw4UMiIiIoU6YM06ZNIykpiVWrVhlbrHzD5s1w4sRajh5dQfPmQ2nZcvgrj/nNN704c2Yr48b9TIMGPTh0aCmWlja0aDE0ByQueDx58ohRo0phYWHN6tXRmJmZc/ToSiIj79Kmzbs4OBQe53BGXmX/qT5nsT5FMEjfoFLKtdkXKfvkhSIICQnh+vXreHp6UqFChRwZ8/r168yePZv169dTsWJFQkJCNFJUF7R9BlLKNDt3cnKyXpt3RkXYv39/6tevT+PGjQtdgrnNm2HTpk/YtesrbGxKUK9eN3r0mE6pUl4ArFo1GhMTUwYPXmKwn+Dw4eXcuXOBli2H4+pajaFD7bC0tGHNmmeZ+u7Zs5DHj+/TpcsU7OwKb0nGS5cOYW1th7f3a5iZvQhlDgu7w88/T+Pu3askJSVQvXpLhgxZkul8Q5L45UdySxHoMw1FA39IKcOyf+mCya5du3jvvfd49913Wbp0qc5+qYm/DPlCJSQksH79egBu3LiR6XhqioaCogiEECxfvhxzc3O9aTgymsaCgoKYO3cuKSkpnDp1isaNG2v0P3fuHLGxsTRs2LBAlfBMT/v246lTpwNLlvTjxImfaNZsEKVKeZGSksLRoysAGDLkO4PHa9PmxQa+uLhntG37ns7v3PHjq7h3L4AWLYYVSkVw/fofPH0aQYUKDbC3z+xnSU5O5I8/NqX9Xrasptn1xIk1rFo1iqZNBzJy5A+5Lm9BQZ8i6A98L4SIAf4ATqNSDJfzRDIj4efnl1Z5a+PGjRw4cABPT0+toY6///47rVu3pmPHjuzYsSPT8fSUK1eOVatW8fjxYyZNmqT15RkUFISXl1e+NhMtWLCA8PBwxo0bx6hRo7LsP23atEzRU6kKtHfv3sybN0/jXjt06MCjR48ICwujVKmC6dBzcHDGwcGZwYMX8+xZJM7OL4rJDxu2nJSU5GxH9FhZ2Wqd4abSocOHxMZGU7x44VMCANu2zeLixQNMnryP2rVfRFPdvHkWU1MznJ0rMmbMeqysbHF2roCFhWZUm5mZBUlJCSQk6I7o00ZhjcJKxZDi9V5AI/WnIeCBah9Bh9wWThu5aRrS5tgF1U5Ybc7Rbdu20aNHD7p3786vv/5q8HWy2oiWn81EPj4+XLlyhcuXL1O9evUs+5uYmOhdMWS8106dOvHkyRO2bdtGyZIF72W2eXPOj5mQEEdMTDTm5pbY2Djk/AUKEFu3fs6dOxfw8WlNfHwMPj4tqVChAYMGFSMhIZY1a55jaVlM5/lJSQmkpKRgbm5p8Ivdz28SZ89uY+7cfyhWzLj1uHLLNJSlTUNKGQj8DfwD/AuEAS8fPF4A0DZ7BXRGDXXv3p3Y2FhWr179UtfRthEtPRnTUeQnJk2axFdffUXZsmU5duwY27Zty5Q8Lj1ZhclmzFq6Z88eTp48WSCVQCpbtsxgz56FJCTEZd3ZAPbv/4Z333Vm5865xMQ8ITw8iGfPIrM+sRDSs+fnTJq0m8jIUH7+eSr+/r8B4OVVB0/P2pibW+o938zMAgsLq5ea3e/Zs4CwsNsEBBTarVN6ncVTUa0ASgHXgL/Un0tSypcvVJtD5OaKQNfsVQiRI4VADh06RP/+/enVqxeNGjVi4MCBWY5brFgxBg0axL59+zSijvLDaqFChQrcunWLa9eu6QyB1bXKSk9OPd/8wIYNiQwcqHoZffPNLYKD/yM09AqHDy+lUqVGNGnSHysrW6pXb5HFSC84dOh7fv31C8aP/4UjR1bw55+bqV+/OxMmZF6F3rt3jcePH+DmVg07u4JpWjOEf//dj7//b9Su3Z5q1ZprHLt48SBHj67AxqYEjRv74uPT8pWudfduANHRD6lQoQEWFsYNbTaGs3gg8BzYjcpHcEZKGZ19MfI/Hh4eOktL5gQffvgh4eHhLF26lL179zJv3jwWLVrE3bu6t7vHxMSwfPnyNAWVPtW1sZVB69at8fHx0Rv3nyrj1KlTdSbpK6ib67SRkpJMnz5ziY19wsWLB/jxxzGUKuVFZGQoISGXWbCgCyVKuLB0qeEpDurV60atWu0oXbocEREhXL16gj595mrtu2nTFM6f38GECb9Sv37hqx+VlJSIqakZtWu31/ARpGfHjjkEBPwOQKlSXhqKIDLyHuvWjcfGpgQjRqw06JqurlVwda3y6sLnY/RlH60CtAHOA82B7UKIs0KIH4QQQ/JIvjxlzpw5mVImmJubU6dOnUx5XQA++eQTevfuzX///Zfl2H5+fhrRQkFBQUyfPp0uXbroNRMBmVYpL1MEJieRUnLo0CFOnTqVVmhnx44dWb7IfX19dRahyZi1tE2bNtjb23PhwoUclT2vsLCwokuXybzzzhzKlq1E3bqd8PSszbx5//HRR9upU6cj1au/3AzV0dGVMmXKI4SgadMBfPvt7UzRMKm4u/tQpUozihUrnL6EKVNq0a+fCSEhV3T2qVOnEy4uVWjc2Jdq1TRXXsnJiZw5s5WLFw+89LWNnIE/VzEo+6gQwgx4DWgGjAK8pZSmuSybVnJ7H4Gfnx9Tp04lJCQEDw8PHjx4QHx8PNHR0djZ2Wn0Gzp0KAkJCTg7O7NgwQK9M3RdDuLUzWQff/wx9+7dM1hOY5hTEhISsLS0xNzcXKti1MX8+fP55JNPSE7WtCg6OTnx7bffajy3Ro0a8eeff2pN2VEQyOgsfvz4Ie++64y1tR2rVkUVyNj1/MRHH1Xh3r1rzJ9/BSFMSEiIxc6uJFOm1KFMmXLMnn1W7/kJCbFcuLAbG5sS1KzZJsvrRUbeY/x4b5KSEujefTq9en2RU7eSLfLcNCSE6IIqUqgxUB24giqE9CNUpqJCR+rGp1QlMGfOHIKCgkhKStKIaU+1e6e+DB88eJCluUaXWSQoKIjq1asTEhLCO++8w+7du4mPf5HNQwihdSZiDHNKYmIirVu3TnO0SSlJSkrCxMQEU1Pd84KFCxdmUgIAtra2mZ7X3r17EUJQvPirpW42FjExT7h//xo2NiVwdq7A06eP8PZ+DRubEooSyAEWLgwgJSWF8PBAPvigPE5O7kybdoRnzyKwtc26xoCFhTUNG/Y2+HoPH94kKUn1dx4T8zjbcud39DmLt6HeOwBckFIaPgXMRXJrRaArJ5C2ME59s3tdFbr0hYwuWbIER0dH/P39WbZsGZGRqogQe3t7+vXrx9q1a/NltbMOHTqwf/9+9u3bR/v22u21kPtO+PzE9OknmDWrOVWqNGPGjBOkpKQQHf2QbdtmIYRgyJDvCnU8el4RF/ecTz6pg5OTO1OnHuLZs0hSUlJwcChDcnISV64cJz7+GdWqtXilkNuwsDscPboSO7tSdOgwwej/d3kePiql7C6lXAg4ZFQCQgjttQozX7idEOKaEOKmEGKKjj69hRD+QogrQoiNhoybG2gLHdVli89OzV5tIaOWlpYMGDAAGxsbfH19mTt3bpoSAHj+/DmNGzdm5cqVuLm5IYTA3d09XygBUPlPTExMMhWyz4iu1UthchKnYmFhhbf3a7i6ViEm5gn9+5szdqwbR44s4/DhpfTrZ8L06bln8tq+fQ5Dh9qxa9fXuXaN/ICVlQ2LFl3n00+PYmJiip1dKRwcVKniT53yY+7ctvzvf925du10pnP//PMXDh9eRnx81pvKSpf2pm/fuXTs+KHRlUBuYsha9TMhRJp3SwjxMdA1q5OEEKbA96iqmVUD+qqrm6XvUxH4BGgspawOfPASsuco+l7uqWkPQLVy0LXE1/di8/X1ZeXKlXh6eiKEwNPTk9WrV7Nu3Trq169PsWLFMs2Ok5KSGDduHFOmTCE0NBQpZVpW07zEz88PLy8vTExMNPY2bN++neTkZLp06aL3fF0FfLSVtvz+++/p378/Z86cybkbyEMqVGjAl1+eZ/jwFVhbF1cXn7dlwIBFtGihSkCXmy+UlJRkYmOfEh+ve29HQWbBgq7Mn99Z7x6N9KkntKWh2LDhI378cQxPnyqlP1MxZGdxSWAPMAloB1QB+mZlKhJCNAQ+T61kJoT4BEBKOTddn3nAdSmlwekrc8s0pMt0Y2ZmRlJSEpcvX+bff//VGRP/quaarHbgpmJpacnq1avzTBloM5mZmJiwbt06g2W4efMm8+bNY9euXYSFhendC9G3b182b97Mxo0b6du3b47dR16R0VmclJSokRQtJSWFlJRkjbacJD4+huTkRCwsiuXaNYxJ//4WJCcnsn59PGZmquL1wcH/sW/fIry8atOuXdZJkTdsmEhc3FN69pyZtorQxb1713jw4AaHDy/D0dHV4JDT3CLPs49mGKA0cAS4AAyVBpwkhOgJtJNSDlf/PgBoIKV8L12fHcB1VA5pU1SKQ29cV177CHx8fEhJScHPz4+2bdtqVRampqasXbv2pV/Od+/e5cqVK5QtW5bOnTsbXP9Yny8ip8mOPyQj69atY9CgQQwYMIB169bp7XvixAmCg4Np0qQJ3t7e2RHZqORGigmFF1y8eJCkpATq1u3E6tWjOXPmV954oxdHjiynTp2OfPzxnhy93rJlgzl5UpVo2c6uNCtWZCowkacYI2roKap6BKlYAOWAnkIIKaXMiaQbquodqn0KbsBJIUQNKaWGe14IMRIYCblnV059iWesG5D+5a7LfJSSkpKtGfrOnTsZO3YsAwYMYPr06bz//vt6d+BmJUduoM9ktnLlSrZv387IkSN5++23dY5Rrlw5Bg8ebFA46JtvvpltWfMDJ06sZdOmyTRrNoh+/V7Y6QMCThEd/RAfn1ZFPl/Qq1Cr1otS6QkJcTx7FoG9vTMjR67G0dFVz5nZw8nJHXf3Gnh51aFRoz6Ehwdy7941ypQpj7NzzqSozw/oVARSyleN37sLuKf73U3dlp5QVDuWE4E7QojrqBSDRmVqKeVKYCWoVgSvKJdOKlWqxNtvv02DBg3oo0X15vTO43LlytG6dWt2797N+vXr6datG//88w/BwcFp+f61RdXkpZNV1z2bmJiwY8cODhw4QKtWrfSO0aRJk0xlKQsrsbHRREc/zOSIXLduPHfu/I2DQ1natx9Ply6Tc+X616//yaFD31OhQn2DzCQFmX795tGv3zyKF3fC1FTzVda3r8oP8913ITg5uWkci4t7TkxMNMWK2WNlpbuaGUDv3rPo3ftF2VQ/v4/Zs2c+77zzJd26fZJDd2J8dDqL1VlHdSJUuOnpcg6oKITwFkJYAH2AXRn67EC1Gkj1RVRCVRoz19HmAL106RLffPMNBw8e1HrOyzg9DaFdu3YcPnyY8ePHY21tTcOGDQkMDCQ4OBhLS0tcXFwyXc/CwiLb18sOuhLkJScnc/z4cSZOnEiPHj1y7Hr//fcfP//8M/7+/jk2Zl7SsuUIli69R69eMzXaq1ZtDsDjx/e5fTv3dk1HRoZy+rQfV68WvgRpCQmxHDr0PSdPqsyLDg5lcHAok0kJALi5VcfGpoRWZ/HKlcMZO9aVCxcyvo6yxt3dBx+fVrmy+jAm+vYRbEGlKHai8g2EA1ZABaAF0AqYIaU8rHNwIToA36Cy//8opZwjhJgJnJdS7hKq8ImFqJzQycAcKaVeK2tO+Ah0+QOmT5+Oubk5VatWTYuL9/X15ciRI2zatImWLVvi5+fHkCFDSExMNGhH8cugLed5mzZtOHXqVFo1s5dNeZ0T+Pn5MWjQIK2bwgzxFTx79oy4uDhsbW2zrEc8ZcoUvv76a+bOncuUKVojjvM1+nwEkZF3uX37Ag4OzlSoUD9Xrh8eHkRAwO+UKuVFlSqFaxX2+PED3n23LPb2ZVi+/EFa+/371wkNvYKzcyXc3VWp0VNSkklKStSaJG7NmnGcObOVAQP+R6NG+o3uqX+Tly4dJjT0Mn/99QtVqzanb1/tuZ5ymzz3EUgpe6nDPX2BoUBZIAa4CuxD9dLWm2dXSrlP3Td92/R0P0vgQ/Unz9C1Z2DZsmWZXmrR0dGEhYWlpVr29fUlICCAGzdusGjRIsqWLfvK8qSWzdMWVhgWFkZcXBy7du3C1dUVV9e8n4k0a9ZMqxIAw/wVixYtYvr06UybNo3Zs2fr7VurVi169eqlM5tpQcbR0TXXZ5KlSnlSqpRnrl7DWJiZWdKmzRgsLVXmnIiIEHbu/IrDh1VVBDt2/Ij+/RcAYGJiioWF9t3ugwcvZvDgxVleLykpkaFD7bC3L42TkwfXrp0C4PnzKKMpgtxCX/ZRpJT+QN5nN8tlXmZD2Jo1a0hKStKoSTBr1qxM/bJDQEAAderUwdvbW6cpZM2aNdy7d49mzZoZLe2CttKaqTg4OPDbb7/RvHlznX0sLCxwcnIySP6+ffsWyLDRVE6f3oS//3EaNnwHHx9N30lSUiIg08IeFV4OW9sSDB36fboWkaYE6tXrirt7jRy93rNnESQmxpGQEEudOh2xty+Nm5sPbm7VSUyMz7L2QUFCryIorOhygDo7O3P8+HGqVKmSNtPPzQIp1tbWxMXFcfXqVVq1asXixYvTqn717duX27dvs3PnTurUqZNrMhiCm5sbnTp14tChQxrJ5szNzYmKimLz5s16FcHkyZOZPDl3nKP5jWvXTnHs2A94eNTUUATr13/Evn3/w9W1GqNGraZixTdyTYZnz6I4dOh7oqLuMWyY7prbBR1HR1cGDvwGV9dq+Pi0yvFcTg4OzqxZo3Islyiheh9ERt5lwoSK2No68v33oTl6PWNSJLNg6XKARkZG0rJlS3bu3Knz3MTERO7evau1dOXL4u7uTkxMDLVq1eLYsWMayeb++ecfzp49S1RUFABXr15lxowZbNiw4ZWv+7JUqlSJ3bt38+OPP2rsjJ4yZQqjR4/O0ZDPlJQUYmNj03wiBY0mTXwZPnxFpmIpqbVz7971548/cnezQVJSPNu2zeTo0RWEhwfm6rXyksTEeB49CubJE9WOYCEE7duPp2bNNi+lBM6d287UqfXYti3rlb2lZbE0JQBgY1OChIRYYmOfFKq01EVyRZDq3B0/fjwRERFp7fHx8ZiYmHDr1q20tg0bNnDixAn69+/Pm2++yc2bN6lWrRqVK1cmICDgleQwMTHB2tqaNWvWEB4eTsWKL4qcr1mzhqioKDZt2kSVKlWwsbFh5syZdO7cmf79+7/SdbNLXqS3WLFiBWPGjGH06NEsW7YsrT01M2x+q9KWkUqVGlGpUub9Er16fUHVqm/y11+/UKlSw1yVwcHBmVGjfsTW1rFQFbEPCrrIZ581oHz51zXSTSclJSCEidboIW3ExDzhzp0LuLllXXM7leTkJI4cWY4QgiVLgnByci9UuYeyfHLqLKSrgf1SykKTKtLX15dp06ZpKAJQzUi3bNnC/PnzATh16hSrVq2ibt26vPnmm8TGxlK2bNkccRKnUrt27Uxtb7zxBv/++y+zZs2iZs2abNmyhc8//5yqVavm2HUNJTw8nPDwcEqXLp0tU9ns2bPZu3cvU6dOpXPnznr7WllZYWVlpTHDyxjllZ+qtBmKC2RaHwAAIABJREFUiYkpNWu2MSgHfk7QtKlxJgu5iRAmODm5Y2/vnNb29GkEo0eXISUlmeHDV9Kq1Ygsx6lTpwOzZ5/DwcFZb7/z53fxxx+bqFevK8+eRbBmzfsAVK7clJIlC1fCREPWU0uBfsANIcRXQojKuSxTnhAREaEzpUN6p3G/fv0YNmwYs2bNwsTEhO7duzN//nyOHz+eI3KMGDGCDh06pJmA0uPo6MjkyZMZMGAAlSpVYsaMGfTubXgu9Zxi/fr1VK9enS+//FKjPT4+ntDQUB48eKDjTBU3btzgr7/+0sisqoshQ4YQGxvL99+/cAqOHz/e4MywxiYg4BQXLuzmyZNwY4tS6Chfvh7ffRfMpEkv4v8jI++SkqKKaDO0nrCdXSnKl6+XaaNZRi5fPsKff24mIiKE4sVf1H8uXbrgpT7JiiwVgZTyiJTSF6gLBAJHhBB/CCGGCCEKbFar0FDdjp70O3dDQkLYtGkT9+/fR0qZNhtNzcD5quzfv5/9+/dn2iR2+PBhNmzYQK9evZg4cWKOXCu72NnZUbVqVVxcXDTaT5w4gbu7OwMGDNB7/owZM/jjjz/01izQhZ+fX6ZVWyp5mWrDUH799QsWLOhCYOC/Gu03b55hxozGrFw53KD0xznB33/vYd26CURF3c+T6xkDV9eqNGzYhz595tK48cuvDp88CWfixGqsWZN5F3abNmN499211K3biYYNe7Npk2TTJsmxYz8wd+5b+PufyIlbyBcY5GERQjgBg4HhwD/At6gUg87NZPkdR0dHOnTooFF5LJVRo0al/fwydQqyw9y5qnjkJUuWaLTv3LmTadOmcfq0Kp96fHw8Fy5c4Ny5c5nGyG2GDx+Ov79/JoVUvHhxXFxccHTUXxmqXLlyNGzYkNKlM+/yzAp9zzk/1jOoWPENdaihZlbLmJhorl//g+PHV3Pw4Hd5IsvBg9+xf/83aYXcCyNmZuaMG7eJrl2nGOwwfvIknF9/ncm+fYu4fv1P7t69ysGDS1i48G11iK8KV9cqNGs2EFdXTXNsSMhlLl06xIMHusOqCxqG+Ai2A5WB9UBnKWXq9OJnIUTuFQ/OZdzd3dm7dy9Lly7lvffeQ0qZlnI6fQI1fSUmc4IuXbowderUTF/itm3b8vjxY2xsbHj69CmPHz+mXr16uLq66l3N5CUNGzbk7t2M6aNejXPnzvHJJ59Qt25d5s2bl2Wxn/xG+rw06fHyqou392vcuXMBa+ucyNeYNc2aDaRixTfw8MjZ+HpjcfHiQTZu/JjatdvTt+9X2R4nJiaarVtnUKZMeRYs8GfWrL/47LM3OH9+B9eunaJ69RZ6z2/bdixvvNELD49a2ZYhv2GIm32xlFKrQVzXduWCxODBgxk7dixWVlY8ffqUmJgYbGxeJKKys7MjOjo603npN5i9Cvb29lpfaF26dOHYsWMMHz6c6OhohgwZQt26dSlTRn/+9FclN6Jz1q9fT0hICP369cPLy0tv3+joaI4ePZr2u649H05OTgXGUQxgZ1eSL7/M23lT48b98vR6uc3Tp48IDr6Eu7vPK41jZ1eKt9/+FHv7MpiZWVChQgPGjt1ASkoyXl6qPTsPHtzk/PkdVKjwRqZUHeXKvfZK18+PGKIISgghumdoiwb+k1KG5YJMeUJUVBRhYWE4OTkRERGBvb09pqam2NlpztYGDhzI0qVLNVIsWFlZMXPmzIxDZouTJ09y9epVWrRokSmtgqOjI5UqVcLNzY0SJUpw4ULuJSsD3dE5a9eu5fbt2yxatCjLqB9trF69mhMnTtCoUaMsFUGdOnU4fPhwWnTSnDlztOaF+vbbb19ajrwgMVFVMKUwhRbmF+rU6chXX/2LldWr7bAvVsw+08qtSRPNScXVqyfx85tE48b9Cl3OJm0YYlQbBqxClXPIF/gBmAycVhebKZDs2LGDKlWq8PHHH+Po6Iipqfa8JIsXL2bt2rU4O6tCzczNzfl/e+cdV1X9//Hnh6WgCIJbFLe4R46vWpqlZktNM01yj8xQU3OU9XMUVmpqmqampRnZMluuHKWZlSOtFLdCgqgoMgRk3c/vj3MvXuAu4C645/l43Af3nvm65x7O+5z35z3WrVtHWFiYweULy+LFixk/fjxbt27NM/3OnTsMGDCAbdu22S1SyNh4yMGDB7l48WKerGJQGuu0adOGXr16mdzuc889xyuvvEJwsPkaOIGBgfTo0SM3pNZQi09n6dlsiClTGjJkiBs3b+Z1aWVlZbBnzxp++mmlkTVtw7lzv3P8+PbcyJqSTLly/gQHt6Jq1XpW2d53373NK6+05Y8/viowr2bNEB55ZCJt2jxeYF5i4nX27FnDwYPWCRhxBiwxBJ5AEynlACnlAJT+wxLoiGIQSiQ+Pj40atQoNxJGNzYwbNiwPMvpXCXXr1+nUqVKvPHGG1a9COmK3M2aNStPP+C9e/fSvHlzpk61Xz0+Y/74u3fvcv78eYMX/BMnTnDq1CmT2x0zZgwLFiwoUsexnJwchgwZQlRUFCdPniQxMZHFixcXejv2Qpdq4+FRpsD09evH8/HHYfz9t+Ey57Zg4cLHWLjwcdLSCro3XR0pNURFHef0aSX6JzJyP99//w7x8dE0atSZESOWG3SvJSTEsH79eH780XnPw8JiiWsoSEqp35/tBlBLSpkghMgytpKzM2jQIAYNGgQoCU979+7ll19+yVMYLSIigrFjx+aWk7h58yavv/46R48eZd26dfj5+RVLQ0REBOfOncv9rJ8oVbduXZo0aUJQ0L1Y5xYtWnDlyhXOnTtXpAgcc5hqvNOgQcFuTFWqVOHYsWMGy3UUlYSEBDZt2oSvry9lypRhypQpxMfH4+vry/z580lKSrIoH8FRrFwZg0ajKeAa8vS8F+OelpaYfzWb0bRpdzIz08nJybbbPm1FZOR+/v13N02adKVlS9NPoZbQocMAatVqkTs4vGPHUo4e/Y7AwNomK7gGBtaie/cxVKvW0OgyJQ1LmtevAmoDuuenASidxaYDP0opTQ+xWxlb9Cx+9NFH2blzJ2PHjqVnz54MHDgQMN6vF5Rs2+IWpDPVDzg8PJwRI0aQnZ1NrVq1eOutt3j11Vf577//uHz5sllfe1HIb/hAeXIy54oxN8B86tQppJQ0atQILy/TlTfPnz9Po0aNqFKlCnfu3CkwNrB06VJGjRqFh4dzVkcx1Y/g+vVLpKTcpGrV+vj6BtpPVCnh228X8MUXs+nTZ5ZNykD/8svHREefoHXrx8jOzqRZs4fMdjCzNw5rXq9tHtMf0I2Y/AZssaSBvS2whSH45ZdfuH37Np07d84TlePm5ma0sFTt2rVZsGBBsdxEprbv4+NT4CK4aNEinn32Wfz8/KxeaVFHeHg4r732GkCuAbpw4QKJiYnMmjWrQNSSsSY/+sajbt26REVFcfHiRerVM+3fvXXrFvPmzeOTTz4xGK1lSSMcR+Lszev//XcPHh5eVKpU8voWnDlzkMjIX2jUqDPNmz9ks/3s37+R1atH0KbN48yY8aPN9lMUHGIIhBDuwB573/WbwlqG4PXXX+eLL75g3rx5Ruvfm3oiAMvulk1hbPvu7u5F7gZmiMKEhF64cIGlS5dSpUoV5syZA5i+kPv7+5u9YPfu3ZuYmBj27NmTO+huDmNGUghhsI+zM5CRkUH79k/i7V2BKVO+LjA/KekGaWlJBAbWsrgcgjWQUuZ22hoy5N4NxObNpad6pjX5888t/PDDQrp2HUavXi8aXObWrRgyM9OoWrU+bm6GA01sga0MgcnbSillDqARQhTPGe6ExMbGcv78+Vw3SFxcHB999FGeGHZj5ap1FDfD2FgP5OJ0A8uP7o49OjraohIZDRo0YOXKlblGAGDevHm8++67VK5cucDyhowAKOMdusHvnTt3cvLkSYuNABjPGi5fvjz9+vXj+vXrBuc7kvT0dP79dzcnT+4xOH/8+KpMndqI48ftd5f58cdhDB3qxYEDG8nMTKdhQ6XyaePGXeymoSSRlHSDcuUq8n//t5+ePScYXW7mzJZMndqY1FT7jffYEkv8C3eAf4UQ64UQy3UvWwuzNQsXLuTMmTM89dRTnDt3jmnTpjF69Ojckg+QN3TRGMWpd2MsNNLY/vz9/Rk2bBjHjx+3eB9FKZERHR3N1KlTcxPdhg0bxtSpUw12GPP39ze5ncLWZdJoNFy6dImwsDC8vb3zzPPx8aFChQp899133LjhfCksPj4+vPLKLiZONOwfatpUebC2dictU7i5eZCTk01aWhJlyvgwf/4hNm+WzJ170G4arMX16xe5cOFPmxb0e+ON7oSHP0xsbKTJXJAqVepRrVqDUjEID5aNEQw3NF1KudEmisxgizGCDz/8MDda55133mHGjBkFljE1sGttn7Uxv3uTJk04duwYW7ZsoX///nmW17l+dHV/EhISjEYBgXEXy8WLF7lw4QK9e/emadOmZkNDIyIiGDNmjMlGMoU5RhkZGZQtWxZPT0/Cw8NzfwvdALq/vz8ZGRk89NBDJo2QozA1RqDR5HDnzm0qVLBfj4CMjDTc3NxLRVvFdevGs3fvGkaN+oCePcfbZB9r144hJiaS55571+Z9I4qC3ZvX65BSbhRCeAO1pZRniy7D8RjzlTdt2pThw4fTrVs3Ro4caXBdYxmutqh3o/Pf59datWpVYmNjue++eynu+Y2GfqXO6OhohBAGfe3GXC8jRozg4MGDPPbYY4wYMYKcnBx27txJ+fLlDXYi02l96aWXuHnzpsFt6txEly5dMjvI/fXXX+Pu7k5WVhYrVqxg6tSpPPDAA/Tr18/keiUBNzd3uxoBUDps6UhMvE6FCpUs9mknJ8fz00+r8POrarMLb2GoVCmY+vU7mO0jUBzGjVtns207M5Y8ETwJLAa8pJR1hRCtgflSyj72EJifoj4RGLrL9vDw4N1332XSpIIlaI1tw9m6ZJkb0DaEqUHuJ598kj/++IPff/+dBg0akJSUhL+/v9GaSydPniQpKYm6devSvn17rl69anCf7u7uZGebfoy2JALJmblx4wYzZnxBQEBNOnTIX5XFsUgpGTasLBpNDs2bP0x8fBSzZ+8hMLCW0XX27l3LunVKJV51YNk5cMhgsZa5QAcgEUBKeQKwTo63HTHkK8/Ozubtt5UqhikpKdy8ebNAGQV9QkNDiYqKQqPREBUV5RQXJ0vHKHT+TnMlGn744Qfi4+NzE8iklDz66KM8/PDDBpcfPHgw999/PwcPHqRPnz4F/Ko+Pj6sWLGC8+fNl+y1ZDzjxIkTbNiwgb///tvs9uzNpUuX2LhxEt9//46jpeRy+fJxli0byCefvISPjx/e3hW4ffsqcXHnuHPHdGKel5f1EgVLG6tXj2Lq1MZcuPCno6VYBUsMQZaUMv+toHPG75nA2AXz2rVrSCmZO3culStXZu7cufYVVgjOnj3L119/zb///ps7zdKa/FJKvLy8+PXXX40agYiICOrUqYObmxs1atRg8uTJZGVlsX37dr755huD67RooQx8Dho0iI0bN+ZxQwkhGD58OGFhYRaVlzD2G+lP//zzzxk5ciTbtm0zuz17U7lyZXr1etGpngbS0hL588+viY7+mzVrbrB69XUmTvycxYsjqVEjhJycbKO5LA888FxuMxaVvCQkxBAXd67UlO6wxBCcEkIMAdyFEA2FECuAQzbWZXWMXTBr167NrVu3WLJkCWA6CsbRfPnllwwcOJAvvvgid5q5EFd9MjMzjQ7a5g8zjYuLY/ny5Wbr+nzwwQf06tWLMmXK5MlIBsX4fPDBB3lqKJnC2G+kn8Hdvn17hg0bRvPmxStFbAvq16/PyJHv06eP85TgqlWrOZMmfcHgwUqbUQ8PT2rVakbNmk3QaHIIC6vFkiXOY7hMsWzZMzz/fFVOntxrfmEbM3r0ahYvPk3jxqWjMqklhmAi0AzIADYDycBLthRlC8LDwylTJm/khG6w18/PD39/f+rVq8f06dMdpNA8zZo1o3///jRp0iT37n3o0KF4enpa1B+hXLly1Kpl2CdsyC0DFLjLz4+/vz+7du0y6VKLjo5m5MiRZo2BIaPm7u7OK6+8kvt5wIABbNy4kT59HDJEVeKoUKEynTo9Q6NGnQvMS0q6TmLiNY4e/dbo+nfu3CYh4apTVC9NTU0gOfmGyfPRXlStWo+aNUPyDMaXZCyJGkoDZmtfJZbQ0FCysrJyo4L8/f0JCwtjyJAhCCEMNo93NtLT0zl27BjffPNNnmggY0ld+vj4+LBmzRqjNYqMuWVu3LiBh4cHPXv2ZOfOnXnm6Q+eu7m5GU2EA8jKymL27Nkmx1V082bNmkVsbCy1atUqdhkPe5KSkkJ8fAI+Pn6UK+dcT5Y7drzH779/Qe/ek/Dx8ePUqZ9p0aIHoaGL8PExrHX16pHs378BgA8+uIa/v22bIpljypRvyMxMd7pjWxow+0QghGgkhFgrhPhJCLFP97KHOGszYsQIevfuTY0aNUhMTMwN/dT3jVvqxrA3+q4boFB3RZbU8DfmlpFSotFoiIvL2wA9vyvJlBHQYcnAdmhoKFeuXGHTpk0IIRg6dGie30Sj0eQ2FXI2vvnmGyZNqsPGjZZFodmL3377jE8+eYnz538nLS2JyMhf+PHHRVy6dIwnnniZhx4aY3C9mJjI3Pc5OY4vNOzjUwF//6pOkRNx7NgPRERMLzX9oC1xDX2F0rD+NZSKo7qXWYQQvYUQZ4UQF4QQs0wsN0AIIYUQNm99uWPHDi5evMgjjzxCjx49+OyzzwpVgsFRGHPdmEMIQadOndBoNBw+fLjABV2HubGG8+fP5zkmxvQYa/ADlg9s66qgGvpNDh06REBAAP369XM6A16mTBkCA2vh61uwFIcjWb/+BQCmTfuOtm2foFWr3gwe/BblylXkzz+3cP36JYPrTZmyhfDwo3z88R0CA4MMLuOqnDq1jx9/XMzFi0ccLcUqWJJHcExKWegmndqCdeeAnihlq48Az0opI/Mt5wtsA7yAMCmlySSB4mQWb9myhUOHDvHUU09x//3KII89M4aLg6lKpYXhvffeM5o3oXP1GMtL0D8mporCbdq0qVj5AKZ+k23bttGlSxdq1qxJVFSUyX04Iu/DGauPfvzxRDSaHAYPXpDHrbJp0zS2b19CSEhXZs3a4fT+7s2bXyE5+QYDB75BQEANh2o5eXIvly4do1mz7tSv395u+3VYZjHwgxBiArAVZcAYACmlue4gHYALUspLWhGfA32ByHzLvQG8g4VPGcVh9+7drFmzhvr16+caAktCFp0BU+UiLMXNzY0zZ84YnR8VFUX//v1ZtmyZwYu8/jEx1cQmNDSUjIwMRo8eDShhlRMnTrT4ImzqNzlx4gT+/v5ERuY/jZScg+HD71VEMdR/GSgxYw7WYuTIFQanBwU1A+DMmQMkJMRQvXojg8s5C4cPb+HatfNOEZXVvPnDNG9uOLemJGKJa2g4ykX6EHBM+7LklrwmcEXvc4x2Wi5CiLYo3c7sEhT+zDPP0KtXLyZOnJh7V2wqrNSZCA8Px9PT06JlhRAGXTQajYbt27cbXS8iIoKlS5carRKqf0yMVU7VjbuMHDmSfv36Ubt2beLj49m3z/JhJWPHPiAgIM84iSFycnIYN24ckydPLnSxvdJKZmY6mzZNY9eu9wFIS0vm7NnfqF27JQ8+OIrWrR/F3T3vuZWamsjGjZN59lnBq6/eZxMXyObNs3j2WcGzzxov7qbPs8++zdixH+LnZ7sSE66KWUMgpaxr4FXszGIhhBuwBJhmwbLjhBBHhRBH4+OLXnnwoYceYtq0aWg0GlasWEH37t3NXtCchdDQUCpUqGB2ueDgYDQajdGa/aaedObMmcPChQuZP39+gWPi4eGR55iYayovhGDr1q18++23PPbYY3Ts2NGSrwkYNzKAReMkaWlpeWou6WPLJ72lS5cyc2Yrfv75I5vtoyjExZ1n+/YlfP21Ulo8Kuo4c+fez6ZNU3j++fXMnLmdKlXyJvzdvn2VnTuVIsOXL/9FSorh41kcUlMLF6nXoUN/HnpoDD4+5v8PbE1i4nVOnz5AbOxpR0uxCkZdQ0KIGVLKhdr3A6WUX+nNWyClfNXMtmMB/aD1IO00Hb5Ac+AXbVmCasD3Qog++ccJpJRrgbWgjBGY/VYm6NixI4sWLWL69OloNBqjBd6c0X1grlevvgEz5boxhq6HM4C3tzeTJ0/OvaCWL1++wPKhoaFmj1ObNm0KnQVs7DcZOnRoobZjCFs+6cXExPDff/+QmupcPZU/+0yp4KqrK+TnV5WGDf9HhQqV0WhyDBah8/WtxNChS7l5M5ouXUKpXt36/XmHD1/OI49MpFw58zkwzsZff/3Ahx+OpXv30aWiUJ3RwWIhxF9Syrb53xv6bGR9D5TB4odRDMARYIiU0mBdYyHEL8DLthws3rt3L15eXnTo0AEhBJmZmQYvcM6KqQJzujLN+gOl+QdsAR5++GH27DHcOEWfovYv1icnJ4ekpCS8vb0L9BYoCoUpsBcYGMidO3fIyMgd1rJ5Abtr166xceN1/PyqOTzmXp+IiBn89lsEgwe/RdeuwwDIyspg2LCyeHh4sXGj8hvbqv2ptThyZCtCuNGmzeO4uzu2Z/WJEzv59ttw2rR5nL59jQZEWh1HFJ0TRt4b+lwAKWU2EAbsAk4DX0opTwkh5gshHJIW+swzz9C1a1eSk5Px8vIqUUYAjLtMPv300wJF8PK7bnRlGgIDDTdNT0hIYOvWrRw7dgxQ7sbzl4worI99wIABBAYGsmPHDovXMYWh7+/p6YmXl1eeaT4+Prz33ntMnTo1d1qlSpVsXsW0WrVqBAe3ciojABAaupBVq2JzjQDAnTsJVKhQmezszNwOZs7O8uWDeffdfk7RDKZ1697MnfurXY2ALTFlVqWR94Y+G96AlNuB7fmm/Z+RZR+0ZJvF4f777yc+Pp5NmzZx+fJl5syZk6eOjbNTWDeWvusmLS2NlJQUo8bv5MmT9O/fny5dunDw4EGrRFPpmuQMGDCA0aNHs25d8R6h839/Xeax/rT8x2TQoEEkJibSrFmzEvVb25qKFauzevV1PvroRfbs+YCMjNQ882Njz5CUdI34+Cji46Np3bo3Xl4+ZGam06BBB6to+OSTKezYsYzGjbswY8Y2fHxMd8S9776+ZGdn4OFhWdCEiuWYMgSthBDJKHf/3tr3aD/br/O2Ffnuu++AeyWZNRoNK1eudKSkQmOJX94QPj4+JhPGypUrR58+fWjSpAlQtDGG/Kxfv55OnToxbtw4q7kd9L//5MmTef7551m+fHmBnA9H5BB88sknbN16ji5dhhAU1NSm+youEycGc/t2HKtWxTJ8+HsFLq779n3I9u1Lcj/7+PixadMUADZsSLVKzsHvvyvFE8+e/Y3U1ESzhuCll74s9j5VDGPUEEgpLWtjVMKIiIjA09OTrKwsNmzYQOfOnZ1yYNje3HfffbmGEqzTkU0IwdixYxk1apTRKKaikJyczJIlS1i+XIlqqVChAhEREcyaNYuYmJgCXdnslUPw5Zdfsm3bNho06Oj0hiA7O4ucnCyysgzfYVepUpeQkK7UqNEYf//qeZKmrFXiYeTI99m9+wO6dRuBr69hl6WzcvHiURYs6EHt2i2ZM+eAo+UUG7OZxc5GUQeLNRoNmzdvLtEdsIpDbGwsc+fOpVKlSrz11lsWreOMHdlAcXOVK1cODw8P4uLi+OGHHwgLCzMbWmrrbPGvvvqKr746S+fOg6lWrYHN9mMNtmyZz7Fj3/H449Po0mWI2eWllKSm3ubu3TtUqmT/HBsppdZoeTnFoPbly8d59dW2BAe34u23T9htv7YaLHYZQ7Bv3z6jXbacrZyELTh37hyNGzemQYMGud3C9C/0QUFBVgvR1HHw4EFmz55N+/btzfY1KCwLFiygWrVqhIaG0rhxY4uiiYQQVn0yMYQzlpgwxPr1E9iz5wM6dnwajSaHkJAHeOyxKY6WZZTbt+OYMKEGfn5VWb36mqPlkJOTTXp6Cl5e3nh52cZTnpR0g6ysu/j6Vsp1xTmyxESpIDk52eg8ZysnYQuqV6/O2rVrcwdM84eXXrlyhWHDhnH48GFWrDBckqCwpKenc+DAAQ4cOED79u3z5CkUl+DgYGbPns2YMWMsrsHkbNnijuSpp2bTpcuznD//B599NgMPj3uRV1JKMjJSKVu2PCkpt7h5M5py5Spy8OCnxMWdY+DA+QUS0ApLQsJVTp3aR0rKTXx9AwkJeYDKlesYXT4jQxmXMDeOYC/c3T0oX962+Q9bt77Jrl0rGDZsGY8+Opm7d+8Atol0dBlDoCt3YOii7woXCF9fX8aOHZv72Vj10C+//NJqhqBdu3Z07tyZQ4cOWdSz2FIiIiIYM2YMd+/etXgdZ8wWdyQBATUJCKhJ5cp1qFKlXp6LcHJyPOPHV6VGjcb07v0SH330As2b9+DkSSX/pGfPCYUyBHfu3C5w0bx06QirVt17+gwL+8ykIahWrQEbNqQ6ReiovfD29iUgIAhf30pkZt5l4cIn6N//e4sqDBQWlzEEoLgTijsAWlow1YgmIiLCKmMBFStWZP369Zw9e5bGjRsXe3s6Zs+eXSgjEBgYyHvvvecU4xvORmBgrdyMYx0JCbF4epahTJny+PtXJTi4dZ4OZVWr1rdo2zk52UyeXI+EhFg2bLiDl9e9pMIKFarQqdNgLlz4g0aNulhc5trRiWQ6MjPvsm7dOKSUvPjiJpvsY9CgcAYNUq5NkZH7eeSRiTYxAuAihkDfFx4QEIC3tzcJCQlONQBqD3788UdSU1MZOHCgyWqm1oywCQkJISQkpNjb0cecK8/d3Z2cnByCg4OZO3cunTt3NtknQSUvdeu2YcOGNNLSkihfviLt2z9FQsLzPCoAAAAgAElEQVRV/vlnF+XLB+LnV8Wi7WRnZ5KVdRc3N3fi46OpWfPeedCoUScaNepkq69gc9zc3Pn11024ubnbzBDo07RpN5tu3/HD7zYmfyetW7dukZ6ezqZNmwpk45Z2Bg0axODBg0lLSzPZiMaaVTqXL1/O66+/TlaW9TpcGXPlBQcHI6UkOzsbKSVRUVHUr1+fxo0bM2zYMIPrFAdna4xTFNLTU9i/fyMHD+bV7ubmlsedExBQgwcfHEm7dpYXBThyZCvJyfF06DAgjxEoCkeObOXNNx9m9+4PirUda+Hu7sH48RsIC/vMKXooF5dSbwgM+cJdtRxx3759eeaZZ5BS5pagMIa1BtAnT57Mm2++yeHDh62yPTBfAlufihUr0qBBA4KCrNthK/8Nhi5XIf8F1dlJS0tk9eoRbN5svsZ/VNQJ/vjjK65fv2jRtqWUlC8fYDBHICXlFnfvpqLR5JCWlkR6eorJbcXFnefUqX0W79vWCCHo1m04nTo9k5ugam0WLnyCWbPacO3aBZtsX59SHz5qqpOWrUMJSwIBAQHcvl2wHLA1QmojIiJ47rnnAOWCvGLFCqs9gTk6x8FYATw3N3deeGEj999fMp4009NT+PjjMPz8qhAaugiA999/jvT0JIYNW0ZycjxLlw7A07Ms6enJpKTcZNSoD+jZc3yx9vvOO49x4sQOWrbsxT///ESvXmFGG+gA3LoVw9WrZwgIqEnNmk2Kte+SwqRJdYmPj2LZsotUrapU/lfDR4uINUollGZWrFhhkwF03R2zjtu3b1t17KGopTashbEnJo0mhw8/VL5nSTAG3t6+TJiQt+Dcv//uJjn5BqNGKW6Y27ev5plvKronP3fvpvL++0O4efM/3nrrL727Z4GnZxkqV66Lt7evwVLY+gQGBjld3+S//tpGamoC7dr1w9vb1+rbnz17L2lpiXb53qX+icBQOWZXySbOj5SSu3fv4unpiYfHvXsAW9xdl5Re0EXFXEnsSpWCWbEiyn6CrEh09N9cu3aB9u2fIicni+TkeI4d+45//91Nly6h/O9/Ay3elpSSsWMDSU29zcqVMQQE1MwzD7CZa8XWTJnSkGvXLrBkyVm7tfl0RBnqUoG5TlquRNeuXfHx8eH3338HlLGSw4cP06VLF6KiotBoNFYbQHeWXtAajYaQkJDcgWRrER4eTtmyxjNKb90qOUmKqamJ3Lp1hQULejF6tD/lywfSseMA3Nzc8PQsQ2BgEL16vci0ad8Wyghs3RrOnDldeOCBYSxeHIm/f94Wk0IIi43Ab79tZufO5dy6dcX8wnaibdsn6dIlFC+v4hfg0/Hbb5/xxhvduXOncN3bikupdw2B490IzoK3tzdly5YlMzMTgMjISDp27EibNm3466+/rLovZ3HJubm5ERUVRUZGBsHBwcTExFjlqUe37vDhw8nJySkwPzCw5LgeZ85smecCW7FidYPLKRFZmUgpLSqrEBd3lvPnf+fhh58vtl9/9+6VnD37G3XqtCmQ9+Aohg5dYn6hQvLRRxNIS0vir79+IDr6BH5+VenTx/xAfnEp9U8EKvfYtWsX6enpuTWXhBC0a9eO5s2bW31fztQL+o033sDb25srV67kifAparinLmx06NCh+Pv7F2iM4+Xlk5sIVBKoWLEGAQE1WbLkLIsXn87jr09PT2H9+hdYu3aMttxBWTZtmmpia/d4+ul5zJv3G61a9QaUBLMff3yXvXvXMn16c3bvXk1c3HnmzevGypVDkVKyb9861q+fUGBbnToNplevMCpVCrbOl3ZS7ruvLzVqNMbHx4/t25fy00/2KZPvEk8EKgr5H8Pvu+8+jhw5YpN9OVMv6JUrVxrttlZYPfnHnG7duoWnpyeBgYEkJCQQGFibQYPCS8RAsY433vjD6DwpNezZs7pI261SpW6eUhQrVz7H779/QdOmDxITc4rMzDQ0mmzOnDlAjRqNSUiIYePGSWRmptOiRQ86dOifu+4jj4QVSYMtyc7OJCMjDS8vb6uV5tYN3N+5c5vQ0EV4etqn9UupHyxWUbFmCLG5QfCSUn3UUnJystm370M++mgCQgjeeOMw9esbHG80y/vvP0dU1HFCQxfh51cVf/9qlCtXkYsXD3Pp0lFiYiKRUkP79k/Rtu0TZiOJHM277z7F0aPfMmXKljxGqzgkJl4jJuYUvr6VCQ5uWWC+OlisUmzWrl1Lz549+eqrrxwtxa74+/sbnF6Y8QqdO8hYpFBJr2C7cOETLF7cl1u3YvJMd3f3oGfPF9i8WRIRkUO9evdZvM2dO1fw3Xdvk5x8E4Dx4z9i8eJTtGnzGPXq3UdAQE3KlPGhadMHuXs3lf37PyYgoCbt2vXNYwQ0Gg3R0f9w86ZzHWNvb1+8vStYNQjh6NHvCA/vwa5dy622TUtQDYELcfHiRfbs2cPFi0p25syZM6lRowYbNmxwrDAbU61atQLTCjNeoZ9FbIySnJfyxRezOX58G8eOfW+yzHNhonwAduxYyuefv0J6ehJAnlLX+enQoT9jxqzhvvv6Akrm8apVw7l58z/S0hKZNasVM2cWvEN2JBMmfMJHHyXRseMAq2wvJyeb9euVRD1v7wpERu63Wya1OkbgQowaNYoePXrQqJES8xwXF0dcXJyDVdme+fPn8/XXX+cW3QsODi7UeIWxkt06SnoF26Sk6wC0afO4wcSof//dQ3p6MpUr12Xz5plUq9aQUaPMD2L26hVGUtJ1fH0r5U67fPkvvv12ASEhD/Doo5MB2L59GWlpSfTr92pu28wdO5bx66+fkJFxhxEj3icoqJlNkracCV2ZDW/vCtSu3Yo33niQBx4YyoQJn9h836ohcCGOHj2aZ/B2zpw5LFiwwGalbZ2Fp59+miZNmvDFF0qz9MIOWpty+wghGD58eIkOT+7b9xV69pxgNGN45crnco0FwJ07tyza7uOPF4wu2rfvQw4f3sLVq2dyDcE338wjNTWR3r0n5Ra6CwgIolu3kTz11GtUrFidRYtOFvJblTx8fPxYteoqGRmpxMaeJiTkAWrWtE/va9U15CIYKpIWFhbG/v37S70hAKXB/QMPPADA6tWFi4Ix5faRUrJ9+/ZiaXM0VavWp27dtpQvH2BwfuPG9+e+nzVrJ6NHrynyvp555k169pzAlClbcqcpdfarEBn5c+60Hj2eZ/z4j7h9+yrbti0hPt58K1J7s3//BubN68rPP39kle25ublRsWJ1qlVrQKtWvZkz5wB9+86yyrbN7tsue1FxOK5chfXSpUtERkYyb948Jk+eXOi79/DwcLy9vY3OL+kDxeaYOHEzr7/+M7Nm7aRVq0csihrKzs7i4sUjXL16Ns90X99ARo1aSY0a9xoVde8+huTkG3z88YsFtrNt27t8+uk0zp//vfhfxMokJMRy5syv3LhhPT9+dnYmI0f6MmJEObuWt1ZdQy6CsYtVdHQ0qamplCtXzs6K7Mf69etZsGABb775JsuWLSv0+qGhocTExDBrluG7s5I8UGwJHh6eNG36YKHWSUm5yWuvdbCo2bxS0nlkng5mOtq2fZIzZw6wYsWzXLlykkGD3iyUDlty//2hNG58f6GK8JkiOvpvdu9exd27d3Bzc+fu3Tt2GxdRnwhcBFMXq6ZNm5bIpiqWEhISQo0aNUhJSSmQWGYpM2fO5NNPP3WabGl7k5OTTVZWBrt2vc/27eaNqZQa6tVrR+3alkT6CHr3nsTgwQsKzOnefRT9+/8fAGlpSYWVbVMqV65D06bdqFzZOtnOcXHn2Lt3LS1a9KRr1+G8+GIQhw7ZJzFFfSJwEcLDwwtUYdXx33//WbVEtLMxdOhQNm3axDvvvENwcDAdOnSgVatWeSqwWoIzZUvbE12VzV69XuSnn1bi5ubOY4+9ZHKdgICahIdblrW+bt04TpzYwfTpP9K27eMF5nfvPoa2bZ/A09O4e640ULduW0aN+oBKlWrzyy8fkZ6ebLekOtUQuAj6FzFD8fBFLblQUqhduzaNGjViwgSljk1MTAw1a9Y0s9Y9NBoNbm5uLlnAUNcha8+e1fTq9SKenmVzj4c1qFq1AbVrtzRapiEzM53bt6/SsKFz9TjOzs5iz57V3L4dy7PPvl3s7VWtWp+ePesD0LJlL9LTUwy6y2yBTV1DQojeQoizQogLQogCDlYhxFQhRKQQ4h8hxF4hROmuKOVgQkNDOXHihNGkoNI66BkREcGePXs4f/48ZcuWpXbt2rkVWM2tV6dOHYQQuLu7I4Sgdu3apdqNZoi33jrOY49NYdSoVYwc+T7PPbfYakYAYMSI5bzzzt+0aNHD4PzZs9sxb15Xp2lTqcPd3YPNm2fy/ffvkJqaaLXt/vTTKhYv7sulS0csqvJqDWz2RCCEcAdWAj2BGOCIEOJ7KWWk3mLHgXZSyjQhxAvAQmCQrTSpwKxZs4xGI5TGQc+IiAhGjx5NRkYGAHfv3uXmzZscOnSIunXrmlzPkCvtypUrpdqNZog6dVpTp07rQq1z9Oh3rF8/ng4dBjBy5PvF2n+5chW5eTOamzej80QbORohBE8+OZMyZXys0lwnKuoEt29f5e+/d3LixHZatepNy5a9rKDUPLZ8IugAXJBSXpJSZgKfA331F5BS/iyl1P2n/QE4Vy+6Ukjz5s2pVatgPffSOug5e/bsXCOgw5KwWVPZxK4SdmuIhISrXL16lqysDJPLpabeJjHxGnfv3in2PseP/5h+/WYTEvJAsbdlbZ5+eg5PPjk9tzRHbOyZIjeV2b17FQsXPk7FijXw96/O4cNbSEmxLHmvuNjSENQE9NsJxWinGWM0sMOGelSAsLAw/vvvP4YPH463t3ep79pW1E5pxZ1fmtiyZT5TpjTk118/JTz8YaZNCzHrpunUaTArV8YyZMjCYu+/Tp3WDBr0pt385cVh4cLHGDs2gNjYM4VeNyioGa1a9aZDhwFkZ2dy+vR+pCxcddyi4hSDxUKI54B2QDcj88cB46B0ui/siS36EzszxjqlGatIam49/fmuwtGj33Lt2gWOHfueKlXqotHkmE128vIqS0BADTspdBx3794hJiYSIQR167alXLkAypS5zvHj2/jss+lMn/6Dxdt69NHJuWU3nn9+Pampifj4mD5PrYUtDUEsoO+DCNJOy4MQogcwG+gmpTT4vCmlXAusBaUfgfWlugb5/d66Tl1Qev3dxsJmu3UzeM+RZ70xY8Zw9+7dAvNKqxvNGNOn/8CBA5/Qo8f43FpAKgqRkftZtOgJWrToyauv/sSCBUdJT09h0qQ63LmTQFTUiTzjK1eunOTIka307fsK7u6GL7+JiddJSrqBj0+F3CJ8tsaWrqEjQEMhRF0hhBcwGPhefwEhRBtgDdBHSnnDhlpUcM0yE6Ghoaxdu5bg4GCEEAQFBbFs2TKzkT+69WrUUO5q3d2VeO7S7EYzRkBATfr1e6VQRuDXXz9l3brniYzcb0Nljqd69YbUqdOGGjVCcqd5e/syZMhCpk37jqCgZnmWnzGjBV999X/s3bu2wLaysjKQUnLzZjTr1o3jhx8W2Vy/DpsZAillNhAG7AJOA19KKU8JIeYLIfpoF1sElAe+EkKcEEJ8b2RzKlagqP7ykk5oaChRUVFoNBquXLnC5MmT2bp1K3Xq1MHNzY06deoYNAxDhw4lNjZW27Q9GyklUVFRLmUEisrp0/vZu3ctcXFnzS9cgqlevRFvvfUXI0Ysz+Mu6959NO3a9SlwRz9q1Crq1r2PWrUK9gmfNi2E557zRKPJplu3kXTs+LTN9etQW1W6EObaLLoKhkJDhRBIKQvdqyA/pa1VZX4iImZw9Oi3hIYupl27PkaXO3PmV65cOUWTJl0JCrJPKWVHs3r1SM6ePciIEe/TqtUjudM1mhyLMoQnTKjJ7dtXWbMmngoVKhlcRm1VqVJswsPDXbZWjo4VK1YwdOjQAi4y3Q1RdHQ0Q4cORQhBxYoVeeKJJ7h8+bIjpDolKSnxXLt2npSUmyaXCwl5gJ49x7uMEUhLS2L//g1cu3aBMmWUAo4ZGWl8/vmrvPZaB3Jysgusk5qayIkTOzhxYicAq1bFsmlTBr6+gXbVDk4SNaRiH1y1Vo6OiIgIZsyYYTbiRTc/MTGRbdu20blzZ1599VV7SHR6Bg6cT58+s/D3r+5oKU7DrVtXePnlppQp48Prr/+SOy4ghBu///4FN25c4tSpfRw+/A1ubu506DAAT88y/PrrJ+zdu5agoGa0bt0bMN3O05aoriEVl8FU83lT1KpVy+JxlNLuGrKEK1dOcvz4NoKCmtO0aTfKli3vaEk257XXOlKmjA/PP/8RVarcy1iPjPwFT8+y1K3bltGj/cnMVKrfentXID09GYCuXYfzwgsbLNqPrVxD6hOBistQ1EHxmJgYKysp2Ugp2bHjPdq165vnoqfj228XcOjQZho27JR7p1vaee21fZQtW7Cnh66PQ05ONrNm7SQ6+m/27VuLj48fQUHNSEq6wfjxH3Pr1hVWrx5F9eqNLOoHbW1UQ6DiMphLEjOGm5sbERERLuNCM8Xp0wf48svXOXPmAN9+G84HH8Rx+vQBNmyYyKRJn1O7dgvGjFlD5cp16N//dbuVUXY0hoyAPu7uHjRp0pUmTbrSu/fEAvOTk+M5eXKP2bEXW6EOFqu4DIYGyy0hJyeHcePGuVzVUUNcvnyMM2cOAPDww+Nwd/fg+vULxMZG8v337wBKHP3gwQtKREkIRyOlJCXlFuXKVWTWrJ0MG7bUITrUJwIVl8FcTwZTlPZ+DZbSuPEDDBmykHr12tGsWXcAQkK60qfPTLp2HUF2dpbdsmFLMvHx0bi5ufPzz+vYsmUeAwbM4emn5zpMj/pEoOJS6JLLDLWdNFdKuLQn3llC/frtePLJ6blGAKBmzRCeffZtDh3azPjxVdm/f4PjBJYA9u79kEmT6hAWVovTpw9Qtmx5srPN98ewJaohUHFJ8peeCA4OZtOmTblJZYZwpUJzReG///4hNfU2fn7VHC3FqSlT5t4NyMCB81m8+DQXLvzJn39+7TBNqmtIxWUx1nbSUKE6V0u8KwrTpm0lNvaMwUgilXu0a9eXNWvicxPHtm4N59Spffj6VrJrWQl9VEOgopIPV0+8Kw41a4aYX8jFKVu2fJ7cit69J+HrW6nQXeCsiZpQpqJiRdSEMhVbotYaUlFRUVGxCaohUFFRUXFxVEOgoqKi4uKohkBFRUXFxVENgYqKioqLoxoCFRUVFRdHNQQqKioqLo5qCFRUVFRcnBKXUCaEiAcKX1TePJUAxxQDN42qq3A4qy5wXm2qrsLhrLrAtLZgKWVlQzNKnCGwFUKIo8ay7hyJqqtwOKsucF5tqq7C4ay6oOjaVNeQioqKioujGgIVFRUVF0c1BPdY62gBRlB1FQ5n1QXOq03VVTicVRcUUZs6RqCioqLi4qhPBCoqKioujssYAiFEVUdrMIQQwtfRGgwhhPBztAZjCCEqOlqDIYQQgY7WYAj1HCs8rnbMSr0hEEKUF0IsA3YIIdYIIfo7WhOAEKKcEGIlsEUIMUQI4RT9/bTHawnwjRDiJSGE49om5UMI4aM9ZjuFEBOFEG200x16HmuP2VJgmxDiTSFEd7Mr2QH1HCs8rnrMSrUhEELUBDYBAngM2A8sdKioe8wHKgBvAm2Atx0rB7Qn109AJjAHJTllgkNF5WUqEAgMB8oCawCklBpHCRJCNAS2AjnAKCAeeNVRevKhnmOFxyWPWak2BMBdYJ2UcrKU8hrwJXBCCNHSEWKEEB7av+UBX2CBlPIAEA64CSFec4QuPZKAD6SUs6SUB4FfgRztXZJwhCAhRFntXw/AC/hMSnlGSrkIiNfeiTvyqSAVWCulfFlKGQlsB+KEEEGOEKOeY4VHPWalzBAIIRoLIVYLIbwBpJS3gF/0FqkF1APO2llXiBDiY2C+ECJYSnkHqAgM0epMBN4BnhZCVLOjroZCiBm6z1LKyyh3tzrSgEZSylRp5/AyIUQjIUQEsEII0U5KmQ2UBzrpLTYeGCqECLLXU4H2HMt9qpRSXgV26C3iA4RIKWPsoUdPl3qOFV6besy0lBpDIIS4H8UNNA7FhYAQQkgpU/UW8wKipJQZdtQVCHwMnATcgQVCiB7AK8AzQghd7Y9/UIzW43bSNQTYB0wXQozTTnPX/jPoqAecsoeefNq8Udw+f6MclxeFEKNR/inHCyEqAUgprwCfAmPtpOtx4BvgZSHELO00j3zHLAD732io51jhtanHTI9SYwiAWyg+2kbASK2Fz28t2wAXAYQQY+3kIgoB0qSU76KcZDuAQSgn3zfAUgApZSaKnzneDpoAYlB87X1QLq4+UsocoaA7L+oBfwEIIfoKIYLtpK0+kCqlXCilXAGsA54CvIEPyJs0c077XbCDa+E6EIpyjs0UQpSXUmYLIdz09t0U7T+pdrCxkY01gXqOFQX1mOlRagyBlPI0cEFKeQHYjTLok993/DAQKITYgvL4d9cO0v4Cyggh7tO6L34DrqBc2OYC/xNCjBdCPAJ0Bezi4tD6QH+VUv4O/KvVAuCm52ZpAdQSQnwPPAdk20nbSaCOEKKrdtI/wF5gBjAbCBBCzBFCPAOMAdK169nUtSClPAqc0Z5jO4HV2llCb9/3A5WFEFtRjEaWLTVpUc+xwqMes3w7LlEvlKiRCkbm6TKlfYELwMP55u9AuVt72ga6KgKeBrRUQIkieVNvXl9gmfZ9F2AK8AcQai9d+ZZprj3pWuhNq4xSzvYQMMhGv6WXgWlu2r8TgU/1prcG1qNETDQChqFEUtjimBXQZeR3TQTa680rg2K0jgHP2ECXu5Hpjj7HDOpyknOsQr7PzvJ/afAa5qhjZvUDb8uX9oe7CHwEzDCyjLv270vAj9r3z6KEkD5oI11zgP9QXBaTDMzvob2IPaH93Ag4CpS18fEyqSvfsvOB9dr3HbR/R9hQ2zsobp662s8i3/wGwBZguPZzILALqGbjY2ZSV75z7HXgZ+373tq//Wyka6H2/K9oZL6jzjGTuhx8jr2uPQZvozXM6BktBx4zQ7rcHHnMbPZlbXDwemkvBJ4od4V7UR69vfItJ/Te30YJvVpvqx8X5c5hD8odRmvgPNAl3zIVUO5g/0KJXHoaJQqgkg2Pl1ld+Zb3RLnTuAO8YezEtIIuD2AayoDqOmCUmd/8ItAWeAb4GajtBLr0z7FsIAV4D70nLyvq8tFeDKKBL4CHjCxn13PMUl0OOseqAZ8Dn6C4UYYAvwOB2vm6p057HzOTuhx6zGyxUSseOH+9908DK3QXdGAxcBitlcy3nh+wCOUx3ejFrxi6Kum97wh8rafrJWAjUNPAeq+jRDb9C3RyBl0oT0qVge+BI8D9Nvot9bXVQTHmw4B3gXY6LQbWewFYjuJusfVvWRhdlYAPgeM20lVB+9cDaAmUQ3nCmwfUMrGerc+xQuuy4zmm01YBGKI3vQpKhFArBx8zi3XZ65jl7s+WGy/GgQsE3kfxAU8CaqMM2KxBGVH3ApYB24DRugOnt74b0NIGugK0ug6gRBo01f4zrAEa6O37R90PjhKFoK/Nx0l0uemt74XWtWEHba305gWhuGKmAt76v2O+Y2bWB20vXXrLeGAbA1ARxcDsQHkKqqE3L0R7wepPvqcPO5xjRdJlp3NMX9sgoLJ2uu7OvxLKXX+lfOvZ85hZrMsexyz/y+mihoQQ/0M5cDdR0rxrofi3D6D80/bU/v0PxeUzFPJGjEgpNVLKf6ysqzPwHZAMhAFVUZ5STqEYrs7aUC8NsBnFgCGlzMmnLc1JdGm06wspZaaUcqc1dRnRVgUYqJsvlaSrwyh34g9op0n9v9r3Oc6iS2+ZbCnlb9bUpeVtlAiVhcD/0CuJIqU8g/Jk9CDQMJ8em51jxdEFtj3HDGjryL3QT12UTSUgVkqZp5evnY+ZxbrALscsD05nCFAiMZZIKedqL/4HAW9tUkUE8DzQV0q5BKV20CUhRBk7xJDHoDx9vKo1Mh4ooYQ5KHfeTwK6XqFfA1HCPtUVi6Ur/wXOxto80cY/67EXxag3F0JMEkIMsqEep9YllIqXnkC4lPJnlBshPyHEZL3FIlB+42ZCiJHa8Ean1mXLc8xCbXWAOO3yTwohuthKj7V02fj/sgCOrtpY4OKtvbv4QW9eFkoEh+6uMF1KeV0olSc3oVjUDGseOCO6/pNSnhNCVBRCrEVJ+HhMCLECJfNwNxAmlLok24FkKWWStTQ5s65CantSCLFSCFFBu0wiymDrLJSnlduuoMsQUsoUIBgYoP2cgDIWNlxPVzwQixIJNgulEJlL6rJUG9ANKCuEWA9Mxw65Hc6qyyj28D8ZemHCx5lv+gTg7XzTmgGRwEv21oVi5btp3/ughLLO135uifJjh7mKriJq+xBYpP1cGyXyZJqr6DKiVReSej+KW6+c9nNZlHDWZ7WfW2t1TXFlXRZqC9V+/h4l+my8K+syqdkhO1X8svtRws+e1Jvulv+99gL2lPZ9f7Rx5EAZR+gysM4LKNa8wCBnaddVTG0v6312pt/S1rpmAM/l/01Qns51v9UmlGqTunnvAz2178tjg1BoZ9VVTG29tO+f0l2MXUFXkb6LXXemRGp8AvwAdEZ55P4abfKO3nIt9d5vB2aiDCB/BlRxBl3az/9DyTx8ylmOlz10ObM2J9bli3JTE49y5+ynN0//IlILJcwwChiBUuzsGPmy5Eu7Litp6+lKuor1ney6MyWUchz3rGU9YAPQTPu5mvaf+FegBsrjeTKKr9smGZtF0FVNq+tL7YWjr6vpcmZtzqYL8NDT9bj2/SZgsfa9TmcQSlTXd9rPDwMvoyQcDXAVXc6szVl1WeW72XTjShTBy+glmgDl9d67af8BG2o/9wQm5NvGSCfV9bir6HJmbU6uazFKxrHOFWvxab8AAAQLSURBVKDzHQcDl9EaJ+20pzFSNsUVdDmzNmfVZdXvaMOD1wIlJO86sNnIMk2A7UbmGS38peqyny5n1ubEugSwCqVXQihK5NaL6I05oMSYbzWyvtUT6JxZlzNrc1Zd1n7ZMnz0JkppgBCUksK9QGmyoBfSVx1tnW8hREehbfqtS6ZQdTmFLmfW5qy6fFGiaF6QSu7LYpSCZgP1lvk/oL4QopMQopkQ4iE9XVZNoCsBupxZm7Pqsio2MwRSyjjgCynlbRQf7ava6TkoVhagFeAlhFiENutOu4xUdTmHLmfW5sS6krk3QAhKrfvjKFne1bTLZKKMVfyGUmVVuKouZ9bmrLqsjU0TyqSU6dq3nwB3hRC55Q20d2xdgYeABCllZ6lk4NkcVVfp0easulCqWLYWQlSXSpvBf1AaIVUHEEI8iNJi8y0pZYiUcq+L63Jmbc6qy3rYywcFPAL8qX3fUvu3DyYqKaq6nE+XM2tzJl0oF4l3gFf0ph1EW6gOpR2n1UOhS6ouZ9bmrLqs+bJbiQkp5S7gthAiA3hbCFFJSvm9VBqQOwxVV+nR5ky6pOK2+g54VAgxUAhRB+UuMkc7/6KU8oaqy/m1Oasuq2Ini+qGUnQpGhjraOun6ip92pxY16Mo5T7OYKMSH6VJlzNrc1Zd1njpEiBsjhDiUWCflDLDLju0EFVX4XFWbU6syxNl7NBejdktwll1gfNqc1ZdxcVuhkBFRUVFxTlxxn4EKioqKip2RDUEKioqKi6OaghUVFRUXBzVEKioqKi4OKohUFFRUXFxVEOgomIGIUSOEOKEEOKUEOJvIcQ0IYTJ/x0hRB0hxBB7aVRRKQ6qIVBRMU+6lLK1lLIZSj+DR4E5ZtapA6iGQKVEoOYRqKiYQQhxR0pZXu9zPeAIUAmlMckmoJx2dpiU8pAQ4g+UXgiXgY0o5bLfBh4EygArpZRr7PYlVFRMoBoCFRUz5DcE2mmJQGMgBdBIKe8KIRqiNMhpp61I+bKU8gnt8uNQCpO9KYQog1KyeKCU8rJdv4yKigE8HC1ARaWE4wm8L4RojVKErJGR5XoBLYUQT2s/+wENUZ4YVFQcimoIVFQKidY1lAPcQBkruI7SAMcNpSqlwdWAiVKpkKqi4lSog8UqKoVACFEZWA28LxW/qh8QJ6XUAEMBd+2iKShtDnXsAl7QFi1DCNFICFEOFRUnQH0iUFExj7cQ4gSKGygbZXB4iXbeKmCLEGIYsBNI1U7/B8gRQvyN0kbzPZRIor+0ndPigX72+gIqKqZQB4tVVFRUXBzVNaSioqLi4qiGQEVFRcXFUQ2BioqKioujGgIVFRUVF0c1BCoqKioujmoIVFRUVFwc1RCoqKiouDiqIVBRUVFxcf4fGj7oOqEKW2oAAAAASUVORK5CYII=\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": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9a5c5a678ed5479ebca0d6c7076771f0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=57.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.6456514596939087, 'log': {'agg_test_loss': 0.6456514596939087, 'agg_test_loss_p': 0.6456514596939087, 'agg_test_loss_mse': 0.08784421533346176, 'agg_test_loss_p_weighted': 0.12235559523105621, 'agg_test_score': 0.6456514596939087}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.051648</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.275075</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.629111</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                   0.174443             0.546592      0.519664   \n",
       "agg_test_loss_p                 0.174309             0.508449      0.512404   \n",
       "agg_test_loss_kl                0.000134             0.038142      0.007260   \n",
       "agg_test_loss_mse               0.054350             0.053395      0.046874   \n",
       "agg_test_loss_p_weighted        0.033049             0.095628      0.102418   \n",
       "agg_test_score                  0.174309             0.508449      0.512404   \n",
       "n                               2.000000             2.000000      2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  \\\n",
       "agg_test_loss                        0.554576   \n",
       "agg_test_loss_p                      0.554576   \n",
       "agg_test_loss_kl                          NaN   \n",
       "agg_test_loss_mse                    0.078667   \n",
       "agg_test_loss_p_weighted             0.103580   \n",
       "agg_test_score                       0.554576   \n",
       "n                                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.602573        0.616317   \n",
       "agg_test_loss_p                                  0.602573        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.046267        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114158        0.110414   \n",
       "agg_test_score                                   0.602573        0.609149   \n",
       "n                                                2.000000        2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  LSTM_PL_STD_mean  \\\n",
       "agg_test_loss                               0.623226          1.042797   \n",
       "agg_test_loss_p                             0.623226          1.042797   \n",
       "agg_test_loss_kl                                 NaN               NaN   \n",
       "agg_test_loss_mse                           0.066200          0.065798   \n",
       "agg_test_loss_p_weighted                    0.118092          0.191335   \n",
       "agg_test_score                              0.623226          1.042797   \n",
       "n                                           2.000000          1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_pt_mean  \\\n",
       "agg_test_loss                               1.307930         1.333418   \n",
       "agg_test_loss_p                             1.238475         1.322273   \n",
       "agg_test_loss_kl                            0.069454         0.011145   \n",
       "agg_test_loss_mse                           0.054398         0.045584   \n",
       "agg_test_loss_p_weighted                    0.237054         0.255269   \n",
       "agg_test_score                              1.238475         1.322273   \n",
       "n                                           2.000000         2.000000   \n",
       "\n",
       "                          anp_c_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss               1.456276             1.507506   \n",
       "agg_test_loss_p             1.448933             1.507384   \n",
       "agg_test_loss_kl            0.007343             0.000121   \n",
       "agg_test_loss_mse           0.050474             0.223373   \n",
       "agg_test_loss_p_weighted    0.277617             0.269838   \n",
       "agg_test_score              1.448933             1.507384   \n",
       "n                           1.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean   np_mean  \\\n",
       "agg_test_loss                             1.629111  2.718724   \n",
       "agg_test_loss_p                           1.629111  2.697164   \n",
       "agg_test_loss_kl                               NaN  0.021561   \n",
       "agg_test_loss_mse                         0.051648  0.056558   \n",
       "agg_test_loss_p_weighted                  0.275075  0.488960   \n",
       "agg_test_score                            1.629111  2.697164   \n",
       "n                                         1.000000  1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        4.716095  \n",
       "agg_test_loss_p                      4.716095  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.050778  \n",
       "agg_test_loss_p_weighted             0.811491  \n",
       "agg_test_score                       4.716095  \n",
       "n                                    1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'LSTMSeq2Seq_PL_attn', 'PL_MODEL_CLS': <class 'neural_processes.models.lstm_seqseq.LSTMSeq2Seq_PL'>, 'params': {'use_self_attn': True, 'use_cross_attn': True}}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=LSTMSeq2Seq_PL_attn, trial=<optuna.trial.FixedTrial object at 0x7f8d6e3eec50> params={'learning_rate': 0.001, 'lstm_dropout': 0.22, 'hidden_size_power': 6.0, 'lstm_layers': 3, 'bidirectional': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'patience': 2, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/LSTMSeq2Seq_PL_attn/version_-1100/_ckpt_epoch_2.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b47fdf9262f54399ba24dcb2815c7c09",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 2.4327590465545654, 'log': {'agg_test_loss': 2.4327590465545654, 'agg_test_loss_p': 2.4327590465545654, 'agg_test_loss_mse': 0.05163831263780594, 'agg_test_loss_p_weighted': 0.443315714597702, 'agg_test_score': 2.4327590465545654}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.718724</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.056558</td>\n",
       "      <td>0.050778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.488960</td>\n",
       "      <td>0.811491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.697164</td>\n",
       "      <td>4.716095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                   0.174443             0.546592      0.519664   \n",
       "agg_test_loss_p                 0.174309             0.508449      0.512404   \n",
       "agg_test_loss_kl                0.000134             0.038142      0.007260   \n",
       "agg_test_loss_mse               0.054350             0.053395      0.046874   \n",
       "agg_test_loss_p_weighted        0.033049             0.095628      0.102418   \n",
       "agg_test_score                  0.174309             0.508449      0.512404   \n",
       "n                               2.000000             2.000000      2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  \\\n",
       "agg_test_loss                        0.554576   \n",
       "agg_test_loss_p                      0.554576   \n",
       "agg_test_loss_kl                          NaN   \n",
       "agg_test_loss_mse                    0.078667   \n",
       "agg_test_loss_p_weighted             0.103580   \n",
       "agg_test_score                       0.554576   \n",
       "n                                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.602573        0.616317   \n",
       "agg_test_loss_p                                  0.602573        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.046267        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114158        0.110414   \n",
       "agg_test_score                                   0.602573        0.609149   \n",
       "n                                                2.000000        2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  LSTM_PL_STD_mean  \\\n",
       "agg_test_loss                               0.623226          1.042797   \n",
       "agg_test_loss_p                             0.623226          1.042797   \n",
       "agg_test_loss_kl                                 NaN               NaN   \n",
       "agg_test_loss_mse                           0.066200          0.065798   \n",
       "agg_test_loss_p_weighted                    0.118092          0.191335   \n",
       "agg_test_score                              0.623226          1.042797   \n",
       "n                                           2.000000          1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_pt_mean  \\\n",
       "agg_test_loss                               1.307930         1.333418   \n",
       "agg_test_loss_p                             1.238475         1.322273   \n",
       "agg_test_loss_kl                            0.069454         0.011145   \n",
       "agg_test_loss_mse                           0.054398         0.045584   \n",
       "agg_test_loss_p_weighted                    0.237054         0.255269   \n",
       "agg_test_score                              1.238475         1.322273   \n",
       "n                                           2.000000         2.000000   \n",
       "\n",
       "                          anp_c_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss               1.456276             1.507506   \n",
       "agg_test_loss_p             1.448933             1.507384   \n",
       "agg_test_loss_kl            0.007343             0.000121   \n",
       "agg_test_loss_mse           0.050474             0.223373   \n",
       "agg_test_loss_p_weighted    0.277617             0.269838   \n",
       "agg_test_score              1.448933             1.507384   \n",
       "n                           1.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean   np_mean  \\\n",
       "agg_test_loss                             2.030935  2.718724   \n",
       "agg_test_loss_p                           2.030935  2.697164   \n",
       "agg_test_loss_kl                               NaN  0.021561   \n",
       "agg_test_loss_mse                         0.051643  0.056558   \n",
       "agg_test_loss_p_weighted                  0.359195  0.488960   \n",
       "agg_test_score                            2.030935  2.697164   \n",
       "n                                         2.000000  1.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        4.716095  \n",
       "agg_test_loss_p                      4.716095  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.050778  \n",
       "agg_test_loss_p_weighted             0.811491  \n",
       "agg_test_score                       4.716095  \n",
       "n                                    1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'LSTMSeq2Seq_PL', 'PL_MODEL_CLS': <class 'neural_processes.models.lstm_seqseq.LSTMSeq2Seq_PL'>, 'params': {'use_self_attn': False, 'use_cross_attn': False}}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=LSTMSeq2Seq_PL, trial=<optuna.trial.FixedTrial object at 0x7f8d71217dd8> params={'learning_rate': 0.001, 'lstm_dropout': 0.22, 'hidden_size_power': 6.0, 'lstm_layers': 3, 'bidirectional': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'patience': 2, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/LSTMSeq2Seq_PL/version_-1100/_ckpt_epoch_17.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7a5227cb558841b2b7a80e18f9103ff8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.26290056109428406, 'log': {'agg_test_loss': 0.26290056109428406, 'agg_test_loss_p': 0.26290056109428406, 'agg_test_loss_mse': 0.045787513256073, 'agg_test_loss_p_weighted': 0.04640352353453636, 'agg_test_score': 0.26290056109428406}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "      <th>np_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.456276</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "      <td>2.718724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "      <td>2.697164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.050474</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "      <td>0.056558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.277617</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "      <td>0.488960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.448933</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "      <td>2.697164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                   0.174443             0.546592      0.519664   \n",
       "agg_test_loss_p                 0.174309             0.508449      0.512404   \n",
       "agg_test_loss_kl                0.000134             0.038142      0.007260   \n",
       "agg_test_loss_mse               0.054350             0.053395      0.046874   \n",
       "agg_test_loss_p_weighted        0.033049             0.095628      0.102418   \n",
       "agg_test_score                  0.174309             0.508449      0.512404   \n",
       "n                               2.000000             2.000000      2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  \\\n",
       "agg_test_loss                        0.554576   \n",
       "agg_test_loss_p                      0.554576   \n",
       "agg_test_loss_kl                          NaN   \n",
       "agg_test_loss_mse                    0.078667   \n",
       "agg_test_loss_p_weighted             0.103580   \n",
       "agg_test_score                       0.554576   \n",
       "n                                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.602573        0.616317   \n",
       "agg_test_loss_p                                  0.602573        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.046267        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114158        0.110414   \n",
       "agg_test_score                                   0.602573        0.609149   \n",
       "n                                                2.000000        2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  LSTM_PL_STD_mean  \\\n",
       "agg_test_loss                               0.623226          1.042797   \n",
       "agg_test_loss_p                             0.623226          1.042797   \n",
       "agg_test_loss_kl                                 NaN               NaN   \n",
       "agg_test_loss_mse                           0.066200          0.065798   \n",
       "agg_test_loss_p_weighted                    0.118092          0.191335   \n",
       "agg_test_score                              0.623226          1.042797   \n",
       "n                                           2.000000          1.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_pt_mean  \\\n",
       "agg_test_loss                               1.307930         1.333418   \n",
       "agg_test_loss_p                             1.238475         1.322273   \n",
       "agg_test_loss_kl                            0.069454         0.011145   \n",
       "agg_test_loss_mse                           0.054398         0.045584   \n",
       "agg_test_loss_p_weighted                    0.237054         0.255269   \n",
       "agg_test_score                              1.238475         1.322273   \n",
       "n                                           2.000000         2.000000   \n",
       "\n",
       "                          anp_c_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss               1.456276             1.507506   \n",
       "agg_test_loss_p             1.448933             1.507384   \n",
       "agg_test_loss_kl            0.007343             0.000121   \n",
       "agg_test_loss_mse           0.050474             0.223373   \n",
       "agg_test_loss_p_weighted    0.277617             0.269838   \n",
       "agg_test_score              1.448933             1.507384   \n",
       "n                           1.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  LSTMSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                             2.030935             2.489498   \n",
       "agg_test_loss_p                           2.030935             2.489498   \n",
       "agg_test_loss_kl                               NaN                  NaN   \n",
       "agg_test_loss_mse                         0.051643             0.048283   \n",
       "agg_test_loss_p_weighted                  0.359195             0.428947   \n",
       "agg_test_score                            2.030935             2.489498   \n",
       "n                                         2.000000             2.000000   \n",
       "\n",
       "                           np_mean  \n",
       "agg_test_loss             2.718724  \n",
       "agg_test_loss_p           2.697164  \n",
       "agg_test_loss_kl          0.021561  \n",
       "agg_test_loss_mse         0.056558  \n",
       "agg_test_loss_p_weighted  0.488960  \n",
       "agg_test_score            2.697164  \n",
       "n                         1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'anp_c', 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANP'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=anp_c, trial=<optuna.trial.FixedTrial object at 0x7f8ded8edef0> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp_c/version_-1100/_ckpt_epoch_7.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "643afe0929324db9a7e1a1df0eaec8ac",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': -0.04990768060088158, 'log': {'agg_test_loss': -0.04243839904665947, 'agg_test_loss_p': -0.04990768060088158, 'agg_test_loss_kl': 0.007469280157238245, 'agg_test_loss_mse': 0.04566358029842377, 'agg_test_loss_p_weighted': -0.006404129788279533, 'agg_test_score': -0.04990768060088158}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "      <th>np_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "      <td>2.718724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "      <td>2.697164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "      <td>0.056558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "      <td>0.488960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "      <td>2.697164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                   0.174443             0.546592      0.519664   \n",
       "agg_test_loss_p                 0.174309             0.508449      0.512404   \n",
       "agg_test_loss_kl                0.000134             0.038142      0.007260   \n",
       "agg_test_loss_mse               0.054350             0.053395      0.046874   \n",
       "agg_test_loss_p_weighted        0.033049             0.095628      0.102418   \n",
       "agg_test_score                  0.174309             0.508449      0.512404   \n",
       "n                               2.000000             2.000000      2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  \\\n",
       "agg_test_loss                        0.554576   \n",
       "agg_test_loss_p                      0.554576   \n",
       "agg_test_loss_kl                          NaN   \n",
       "agg_test_loss_mse                    0.078667   \n",
       "agg_test_loss_p_weighted             0.103580   \n",
       "agg_test_score                       0.554576   \n",
       "n                                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.602573        0.616317   \n",
       "agg_test_loss_p                                  0.602573        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.046267        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114158        0.110414   \n",
       "agg_test_score                                   0.602573        0.609149   \n",
       "n                                                2.000000        2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     1.042797                    1.307930   \n",
       "agg_test_loss_p                   1.042797                    1.238475   \n",
       "agg_test_loss_kl                       NaN                    0.069454   \n",
       "agg_test_loss_mse                 0.065798                    0.054398   \n",
       "agg_test_loss_p_weighted          0.191335                    0.237054   \n",
       "agg_test_score                    1.042797                    1.238475   \n",
       "n                                 1.000000                    2.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                    1.333418             1.507506   \n",
       "agg_test_loss_p                  1.322273             1.507384   \n",
       "agg_test_loss_kl                 0.011145             0.000121   \n",
       "agg_test_loss_mse                0.045584             0.223373   \n",
       "agg_test_loss_p_weighted         0.255269             0.269838   \n",
       "agg_test_score                   1.322273             1.507384   \n",
       "n                                2.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  LSTMSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                             2.030935             2.489498   \n",
       "agg_test_loss_p                           2.030935             2.489498   \n",
       "agg_test_loss_kl                               NaN                  NaN   \n",
       "agg_test_loss_mse                         0.051643             0.048283   \n",
       "agg_test_loss_p_weighted                  0.359195             0.428947   \n",
       "agg_test_score                            2.030935             2.489498   \n",
       "n                                         2.000000             2.000000   \n",
       "\n",
       "                           np_mean  \n",
       "agg_test_loss             2.718724  \n",
       "agg_test_loss_p           2.697164  \n",
       "agg_test_loss_kl          0.021561  \n",
       "agg_test_loss_mse         0.056558  \n",
       "agg_test_loss_p_weighted  0.488960  \n",
       "agg_test_score            2.697164  \n",
       "n                         1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'np', 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_NP'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=np, trial=<optuna.trial.FixedTrial object at 0x7f8d6d091a90> params={'learning_rate': 0.003, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'batchnorm': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/np/version_-1100/_ckpt_epoch_6.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c4c4d8b04b3e40c6a24af8435a6803e1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': -0.10211655497550964, 'log': {'agg_test_loss': -0.06452342122793198, 'agg_test_loss_p': -0.10211655497550964, 'agg_test_loss_kl': 0.03759314492344856, 'agg_test_loss_mse': 0.043197765946388245, 'agg_test_loss_p_weighted': -0.018044210970401764, 'agg_test_score': -0.10211655497550964}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.078667</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                   0.174443             0.546592      0.519664   \n",
       "agg_test_loss_p                 0.174309             0.508449      0.512404   \n",
       "agg_test_loss_kl                0.000134             0.038142      0.007260   \n",
       "agg_test_loss_mse               0.054350             0.053395      0.046874   \n",
       "agg_test_loss_p_weighted        0.033049             0.095628      0.102418   \n",
       "agg_test_score                  0.174309             0.508449      0.512404   \n",
       "n                               2.000000             2.000000      2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  \\\n",
       "agg_test_loss                        0.554576   \n",
       "agg_test_loss_p                      0.554576   \n",
       "agg_test_loss_kl                          NaN   \n",
       "agg_test_loss_mse                    0.078667   \n",
       "agg_test_loss_p_weighted             0.103580   \n",
       "agg_test_score                       0.554576   \n",
       "n                                    1.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.602573        0.616317   \n",
       "agg_test_loss_p                                  0.602573        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.046267        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114158        0.110414   \n",
       "agg_test_score                                   0.602573        0.609149   \n",
       "n                                                2.000000        2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     1.042797                    1.307930   \n",
       "agg_test_loss_p                   1.042797                    1.238475   \n",
       "agg_test_loss_kl                       NaN                    0.069454   \n",
       "agg_test_loss_mse                 0.065798                    0.054398   \n",
       "agg_test_loss_p_weighted          0.191335                    0.237054   \n",
       "agg_test_score                    1.042797                    1.238475   \n",
       "n                                 1.000000                    2.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss             1.327100         1.333418             1.507506   \n",
       "agg_test_loss_p           1.297524         1.322273             1.507384   \n",
       "agg_test_loss_kl          0.029577         0.011145             0.000121   \n",
       "agg_test_loss_mse         0.049878         0.045584             0.223373   \n",
       "agg_test_loss_p_weighted  0.235458         0.255269             0.269838   \n",
       "agg_test_score            1.297524         1.322273             1.507384   \n",
       "n                         2.000000         2.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                             2.030935             2.489498  \n",
       "agg_test_loss_p                           2.030935             2.489498  \n",
       "agg_test_loss_kl                               NaN                  NaN  \n",
       "agg_test_loss_mse                         0.051643             0.048283  \n",
       "agg_test_loss_p_weighted                  0.359195             0.428947  \n",
       "agg_test_score                            2.030935             2.489498  \n",
       "n                                         2.000000             2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'PL_Transformer', 'PL_MODEL_CLS': <class 'neural_processes.models.transformer.PL_Transformer'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=PL_Transformer, trial=<optuna.trial.FixedTrial object at 0x7f8deda48c18> params={'learning_rate': 0.003, 'attention_dropout': 0.4, 'hidden_size_power': 7.0, 'hidden_out_size_power': 7.0, 'nhead_power': 1.0, 'nlayers': 2} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'vis_i': '670', 'x_dim': 17, 'y_dim': 1, 'context_in_target': False, 'patience': 2, 'min_std': 0.005, 'nan_value': -99.9, 'num_context': 336, 'num_extra_target': 96, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/PL_Transformer/version_-1100/_ckpt_epoch_4.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7ec304d7cc24458685ee6ccaed95a327",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 2.5386836528778076, 'log': {'agg_test_loss': 2.5386836528778076, 'agg_test_loss_p': 2.5386836528778076, 'agg_test_loss_mse': 0.053723253309726715, 'agg_test_loss_p_weighted': 0.48533499240875244, 'agg_test_score': 2.5386836528778076}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.065798</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.191335</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>1.042797</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                   0.174443             0.546592      0.519664   \n",
       "agg_test_loss_p                 0.174309             0.508449      0.512404   \n",
       "agg_test_loss_kl                0.000134             0.038142      0.007260   \n",
       "agg_test_loss_mse               0.054350             0.053395      0.046874   \n",
       "agg_test_loss_p_weighted        0.033049             0.095628      0.102418   \n",
       "agg_test_score                  0.174309             0.508449      0.512404   \n",
       "n                               2.000000             2.000000      2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.602573        0.616317   \n",
       "agg_test_loss_p                                  0.602573        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.046267        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114158        0.110414   \n",
       "agg_test_score                                   0.602573        0.609149   \n",
       "n                                                2.000000        2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     1.042797                    1.307930   \n",
       "agg_test_loss_p                   1.042797                    1.238475   \n",
       "agg_test_loss_kl                       NaN                    0.069454   \n",
       "agg_test_loss_mse                 0.065798                    0.054398   \n",
       "agg_test_loss_p_weighted          0.191335                    0.237054   \n",
       "agg_test_score                    1.042797                    1.238475   \n",
       "n                                 1.000000                    2.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss             1.327100         1.333418             1.507506   \n",
       "agg_test_loss_p           1.297524         1.322273             1.507384   \n",
       "agg_test_loss_kl          0.029577         0.011145             0.000121   \n",
       "agg_test_loss_mse         0.049878         0.045584             0.223373   \n",
       "agg_test_loss_p_weighted  0.235458         0.255269             0.269838   \n",
       "agg_test_score            1.297524         1.322273             1.507384   \n",
       "n                         2.000000         2.000000             2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.546630                  2.030935   \n",
       "agg_test_loss_p                      1.546630                  2.030935   \n",
       "agg_test_loss_kl                          NaN                       NaN   \n",
       "agg_test_loss_mse                    0.066195                  0.051643   \n",
       "agg_test_loss_p_weighted             0.294457                  0.359195   \n",
       "agg_test_score                       1.546630                  2.030935   \n",
       "n                                    2.000000                  2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        2.489498  \n",
       "agg_test_loss_p                      2.489498  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.048283  \n",
       "agg_test_loss_p_weighted             0.428947  \n",
       "agg_test_score                       2.489498  \n",
       "n                                    2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'name': 'LSTM_PL_STD', 'PL_MODEL_CLS': <class 'neural_processes.models.lstm_std.LSTM_PL_STD'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1100 name=LSTM_PL_STD, trial=<optuna.trial.FixedTrial object at 0x7f8d6cfa7748> params={'learning_rate': 0.001, 'lstm_dropout': 0.39, 'hidden_size_power': 5, 'lstm_layers': 4, 'bidirectional': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'vis_i': '670', 'x_dim': 17, 'y_dim': 1, 'context_in_target': False, 'patience': 2, 'min_std': 0.005, 'nan_value': -99.9, 'num_context': 336, 'num_extra_target': 96, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/LSTM_PL_STD/version_-1100/_ckpt_epoch_6.ckpt\n"
     ]
    },
    {
     "data": {
      "image/png": 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CbCwkJEBSkqIY0v2aFivUFYFKgXLjxo0slRcnGjRowLx58/D19SU+Pp5bt27h6OhIrVq1qFWrFn/88Qft2rWjU6dOfPTRRxbbUlcFOSMuDu7fB0uBFsxEAy8WqCuCXETd67aetL4yZwj19fXNZ4nyn+rVq/Pmm2/Ss2dPNmzYQEBAAB988IH+/v3799m7dy9nz57N8Oz58+dp3rw5np6eODo60r9///wUvdig1UJEhLISyCzaThGLxpMlVEWQS6TtdYeGhiKl1O91p1cGqrIw7itTODs7ExQUlM9SFSwVKlSgRo0aeHh4cOnSJbZt24afnx979uzhk08+yVD/7t27HD16lLt375KcnJxhe00lc1JT4fZt67d8irMiQEpZpK6mTZvKwoifn58EMlx+fn76OitXrpTOzs5G952dneXKlSsLTvACwFxfAbJKlSolpj/OnDkjt2/fLm/cuGFUPmXKFAnIKVOmmH02NjZWHjp0SB4+fFgmJCRIrVab1+IWKzQaKcPDpbx+3forJKSAhM0lgGPSzLiqrgjMkNWZuzV73SXZMGqIpf3/1atXF3tvoTQWL15Mly5d+PXXX43Kq1evznPPPWcxfpCbmxstWrSgefPmODk5Zck+kJKizII1mmyLXqTRauHuXaUfskJxXhGoxmITZMel0dfX1+RWh+Fed0k2jBpirq/s7e2N4vIXVzQaDdHR0QQEBNCxY0eqV69udD8thlBUVBRz5szB1dWVV199Ndvvk9LY+yVNAVSsCLYlcASIjIRHj7L3rJSKK2lxQ81HYAJ/f3+TA5Wfnx8hISEmn0mvPEDZ616yZIleeWSn3eJIcHAwo0aNIjExUV9ma2vLxx9/XOxXRw8fPsTNzQ0nJyej35Xbt2/ToUMHypQpw6FDhwC4fPkyAQEBVK9enStXrhi1s2PHDo4dO0bDhg356aefcHNzY+nSpUZ1UlIUb5iHD017vFSoAK6uuf8dCzMxMWAh+2em+PhAUU0GZykfgbo1ZILszNwDAwNZsmSJPnZ85cqVjZQAQFBQEM7OzkbPlUTDaGBgIP/73/9wd3dHCIGfnx/Lli0r9koAHiecT0xMNFKEdnZ2XLhwgcuXL+s9qSpUqMA777zDqFGjMrSzZcsWJk+ezN9//83atWvZsmWL/p5Go8x6b95UfOHNuT0WsTlgjnn4MIWwsNgctVFc+6wELgwzx5ptHlMEBgYSHBzMtm3b+Pbbb3nhhRcy3AclG9WjR4+oVKkSc+bMKTF74oaUKlWK+/fvM2HCBGbOnMnNmzfZunUrnp6eNGnSpKDFyzMiIiIAaNu2rT5EBEC5cuU4d+4crq6uDB48mDVr1vDTTz/x5Zdfmmync+fOODs789xzz9GkSRN98vqYGHjwwLoBq7gOaqYIDb2Bv78fXl4+HDiQ/a3Y4tpnqiIwQVBQUIatC2tm7uPGjWPbtm28+eabtGnTxmSdwMBAOnbsSFxcHN7e3iU2vHD9+vXp2bMnpUqVYsOGDezfv585c+bwyiuvZNjiKE7UqVOHdevWUa5cORo1asTly5c5duwY9erVo3bt2gA8evSI1NRUbC1s4Hfv3p3u3bvrP6emwp07ih3AWorroGaKlBQXbGxsECJnmyDFtc9URWCCtBn60KFDSU1NpUqVKnzxxReZztzTVhHt27e3mGzc09MTT0/P3BO4CNK1a1dWrFjB559/ri/r3LkzdevWLUCp8p4KFSrQu3dvQPEYS05OzrBd+PPPPxMcHIwQgitXrhAfH0+9evUoZWZzOiEB7t3L+snX4jqopefRI4iNlWzZcoKKFSvnqK3i2meqjcAMgYGBhISEcPPmTUJCQqzavvnxxx+5ePEiHTt2tFgvODgYd3d3s1ElSwp16tTBy8sLgDZt2vDHH3/w7rvvFrBUuYc598S5c+fSsmVLZs+eTXx8PP7+/gDMmDGD119/naioKOzs7LC1taVZs2Y0atSIuLg4ozbOnTvHqVOnCQ9P4IcffmHlysUkJSWaeJt5iuuglp7792HHjg107dqAL76YmKO2imuYCXVFYAaNRkPZsmVxcnIyOxNLT7ly5dBoNKxYsQI7Ozu9y2l6Jk6cSHR0tN5wWBKJiopi1KhRTJgwAQcHh4IWJ9dISgJHR8VNMyIC7OyUiJVpk/5r167x8ccfExsby9WrV41WA8uXL+fChQu88cYbVKhQAVCU5cOHD0lJp1WGDBnK8ePHWL/+MNOmvU1ExG3q1GmMnZ0ddes2tkrWkqAI0txmnZycqVmzDlWq+OWoveLaZ+qKwAzHjx/Hzc2Nli1bZum5qKgo3njjDWbOnGm2TmRkJADfffddjmQsyowbNw5PT09++eUXfZmUkvj4+AKUKufExCh79ZGRyqDx6JGiECIilM+HDx8mNjYWb2/vDNFFJ06cyPz585k5cyZ9+vTh0qVLHDx4kFOnTuHh4aGvFx8PXl7VCQioi5tbGZ5//mVefnkUvXu3oEePJty9e8sqWYvroJaGlI9dRXv2HEj9+s3Yt28nERG3c9RmcURdEZghbQZ29OhRrl27lulBJyklo0aNwt7enpEjR1KzZk2zdefNm0d8fLxFO0Jxx9XVFQ8PD0qXLo2UEo1Gg5ubGxqNhpSUlCIdSdOUwTYhQQlsVrVqVYYPH84TTzzB0KFD8fLy0hvHhw0bBkDTpk35999/mTRpklEbaQNbbCzMm7dGX/7RR4pn0Zo1ysQiMdG64DnFdVBLIy7OeHvu5MkjXL16gZiY6GzbCoprn6kHyizQpk0bDhw4wL59+8x6AaURFxdH6dKlsbOzw8vLixs3buDr60tQUFCJdA+1hujoaL0y/PzzzwkKCkKj0XDnzh39eYyixt27yraQOVxdoXx5CAm5TrVq1Uy6Ku/du5d79+7RsWNHyuoyoSQnKwbhrIZFsISLCxgsNIoVWq1yjiI19XHZ0aP70Wq11K/fFGdnl2y1W748uLnlkpD5jHqgLJu8++67LFq0KEMIAFPY2toyYsQIgEwjkN64cYNhw4YZhRwuiRgegpoxYwbz5s0jISGhyCoBa3j4EE6fjmTp0mV07tyZRYsW6e/duXOHP/74Azc3N/r27UvZsmUZPnw4Pj5+bNy4z6wSiI9/SETE7Swbi4ur4ROU1YChEnjrrQGMH69ke8uuEoDiuyJQFYEF+vTpw5gxY6hcOfNlpJOTE7t27cpg1EsfVC45OZm1a9fy008/sWnTplyXuagQHBxsFD8nJiaG119/vdiH5U5IiOfy5csEBX3K5ctX6NKlm/7e5s2b6dKlC9988w0ajbINFBZ2j/DwG8TGPtDXk1LSooUXbdtWRaPR8NZbA2jRwovVq78jKSkRjZXR5IrroCalsn1myK1bN7hx4xo2Njkb8oqr8lQVgRnWr19P+/btmT9/vtXPWBOa4t69e4wfPx7AokG5uJM+LhMoSnPQoEHFOk9DcPC3vPhiawAGDXqTsDBlOyk2Fry8nuCZZzrxzz9HmTv3RyIikpg2bRH79l2nTZtO+jYePXpERMRt7t69ia2tLe7uiofRp5+Oo3ZtZ/bu3W6VLMVVETx8aLwaAPj++81Mn76If/7ZzYULp7PddnHts0wVgRDCRgjRWAjRXQjRQQhR0drGhRBdhBAXhRBXhBAZ9kGEEL5CiD1CiP+EEKeEEN1MtVMQhISE8NdffzFv3jxu3ryZaf3r16/rXf7SYxiaolSpUjz33HO89NJL9OjRI9fkzS9yK7GOpUQq5rbUigN2dva4u1fghRcG4ODgyOHD+0hMVHzd69Z9mmXLdnLzZhjvv/8KSUmJVK7sjbe3P46Oj0+g29vbc+TIbf788yIAs2b9yMCBj1dXqakld0UgpRJiIz1ly7pz6tQx5s6dyn//HcpR+8URs4pACFFdCLEEuAJ8DgwAxgK7hBCHhBDDhYXz2kKIUsACoCtQBxgghKiTrtpHwC9SysbAy8DCHH2bXKRfv354eHhw5coV9u3bl2n9bdu2ERkZmSEsQPrQFJ6enmzfvp01a9akb6LQY20WNmvIbLutuOZpGDbsTY4fj6R160589NFr/PJLxnAavXsPpm/foUaDvyFCCDw8PPHxqaovCwr6lmvXtFy7pqVz515WyVKcBrXbt2/TvXt3Ro4cm2E1kEbbtp0ZMeJdAgKyf3q9OPWZIZbcR6cDi4BXZTrXIt2qYCAwGPjJzPPNgStSymu6Z9YAPYFzBnUkkGYZLANY5wCdD3h7e/Pee+/x999/U6lSpUzrV6lShe7du1OxYkV2796dqdfQunXrSEhIIDAwsMi4SlpKrJNVz6hZs2aZ3B4ypDjnaXBwcOSJJ+pTp04jo3IpJePHB+Hi4oqNjQ27d29h797ttG/fjXbtulpsM6u/R8VpUHvw4AFbt26levVa/O9/SllIyBXGjn0RR0cnatasg7u7Bx99NCdH7ylOfWZInrmPCiFeBLpIKUfqPg8GWkgp3zCoUxnYAZQDXIBOUsrjJtoaDYwG8PX1bWou121RQEqJEAJHR0eSk5NJTEzE0dGxoMWyChsbG5PJ5oUQaLNhRQsODmby5MlmcxcXxTwNmbmPpjFoUCcOHPiTZcu288wzz+nLO3asxbVrF9m3LwRvbz/mzp3KvHmfMm7cVN5++2MAwsND+eab6fj712TMmPf5+eelrFr1LX37DmPIkNetlrVUKSW+fnEgLi6OLVv2otE46u0pERG3adHCS1+nfHkPjh2LyNF7nJ2VhD5FkRy7jwohWgkhBgohhqRduSTbAGCZlNIb6AasMLXdJKVcIqVsJqVs5pFPjs/btm1j7ty5nD17NtO66ffNZ82ahb+/P61bt85Qd9euXdjZ2ZGcnExgYGC2BtCCwlwY7szCc6dHSslHH33E9evXuX79OitXriwxeRqWLp1Lr14tuHjxDA0bNjcKRQ3g4qJkirl+/RIA7dp1ZcqUr2nX7rH5LCLiFj///D07dqwH4ODBPzl16hhTp77B4MGd2bRptVWyFKfZrYuLG2vWrObTT8cRGnoVgHXrlgPw/PMv89lnSxg7dhLXrl3i1q2wbL+nOPWZIdYYi1cAs4E2wJO6y6RWScdNwHC+4a0rM2QE8AuAlPIfwBEwbXHNZ9asWcO7777L0aNHTc6C0zC1bz516lRCQ0NNznSTkpLQaDR0797d5ABYmMmtxDqPHj0iKCiIadOmIYTQJ/VJsxtUqlQpQ1Kf4sKNG9c4efIIY8dOYsOGw7Rs2d7o/pIlGwF4882XAGjc+CmGD3+LRo2a6+v4+FQlKGgxI0e+Bygni4cPH8fzz7/M/v07CQkxzmZmjuI0qMXGQmjoVS5fPse9e3eBx9EBqlYNYMCAUZQuXZaOHZ9gzpyPsv2e4tRnhlgTYqIZUCe9ncAKjgI1hRBVURTAyyh2BUNuAB2BZUKI2iiKIDKL78kTnnvuOZYvX87w4cOJjIxkwoQJJuuZ2jdPTEzEy8uLc+fOZajfo0cPkpOTSTVn0SrEpA3MI0eOJCkpCV9fXz777LNsDdjTpk0zWg0FBgZy//593nrrLfr161cslQDAqFHj6dUr0Gzws1KlbKlYsTKlS5c124aHhycDB442+jxlyldcu3aJF18cTtWq5sObGFJcBjWNBs6cCaFevab06PGSPujem29+xBtvTNb/rbm7e+DvX4Ny5bI/1ywufZaeTG0EQoi1wFtSyixHatK5g34FlAJ+kFIGCSE+BY5JKTfpvIi+A1xRDMfvSyl3WGozP0NMTJo0iRkzZjB9+nSzHizZ3TfXaDQkJCTg5OSEnZ1drsmc16SkpGBvb4+NjQ0ajSZXDd1///03v/zyC8888wz9+vXLtXbzE2ttBNYSFRXJuXMnKFOmHA0aWLMQzxq+vpDDM1YFzp07sHHjesaM6cOzz/ZkyZIN+nv79+9i8eKZeHh48tprH1CzZnrHxaxhbw9eXpnXK4xky0YghNgshNiEslVzTgjxhxBiU9plzYullFullAFSyupSyiBd2RQp5Sbdz+eklK2llA2llI0yUwL5zaeffopGo7HoxpjZvrk5v/u2bdtSpkwZ8kup5RY2NjZs3LiR559/nq+//jpX23766af55ptviqwSyA0OH/6bwYM7M2uW8jv377//MGRIZxsf/XwAACAASURBVL7++hN9nbCw6+zatZnLlzOuOLNKUZ/hPnyoBPnz8vJlwIDRtG3b2ej+pUtn2L9/J+vXr+DHH3P++1rU+8scluYCs4E5wMdAL+Az3ee0q1hz9epVQkJCMj2ub27fvE2bNrRp04aRI0ca2Q9GjBjBk08+yaFDh3Bzc8sQkqKwU6pUKVq1asXGjRv5+OOPs9VGfHw8hw8f5tKlS7krXBFg69Zf+eabIK5cOW/yflJSAvv37+TkySMAVKxYmdatOxq5me7evYVRo15g+fIFRs9evXqRZcvmW32yGIr2wGYYZrp+/ab07z+CO3dusn37OgDmzZvG0qVzcXZ2oXz5ihlcdbNDEfLtyBJmFYGUcq+lKz+FLAj69OlDzZo1uXDhgsV6aYZOPz8/hBD4+fmxZMkSoqKiOHDgAEnpYhInJydz7Ngx3n//fWJjY3n66afz8mvkCeXLl+fVV1/lvffey5at49y5czz11FMMHGhsMkpMTCQ0NJTbt7MfL76ws3nzaubM+cjsbL5mzbo4OTnj5aX4WTRs+CQrV+7ivfem6et4efnSoUMPatduYPTsmTPH+eSTt/TeMtZQlBVBTIxxKInz50+ycOFn7N79OwCnTh3l1q0bzJ0bzLFjd+nQoQcdO9aiXz/LkYQtUZT7yxKZGouFEH2AL4CKgNBdUkpZfENEohwQO3XqFIMGDeL1119nzJgxZusmJCTg7e3N9OnTGTRoEADu7u5s3256ZiaEyDAIFhUiIiJYsWIF7du356WXXspWGw4ODjz55JP6ZO1p7Ny5k549e/L8888X24B8Xbu+SLVqtahRo7bJ+15ePvz550V9/CBTPPvsCzz77AsZyqtVe4LBg1+nYcMnrZanqA5sGo1xYLnY2BgqV/ZmzJiJtGjxDADvvPMJAwaM1ttWbG1tuXbtolEAv6xSVPsrM6zxGpoJPC+lNL2WLaZs3bqVRYsWMXbsWE6ePGmx7n///ceBAweM9ra7du2Kn5+fSRdSX19fGjZsmOsy5wehoaGMHz+eZs2aZVsRNGjQgCNHjmQod3Nzw9fXl/Lly+dUzELLCy8MyLRO5creGcq0Wm2mkTPr129K/fpNsyRPUR3Y7t833qYJDl7EzJkfMmbMRP0J7Lp1G1O3bmMOHPiT3bu30LlzL3buPIeLS/YTChTV/soMa/wF7pY0JZBGly5d2LBhA6+99prFelOmTGH37t306mUc48WS3/2CBQto164dv/76a67LnZdUqFCBd955Bx8fH7y8vHIcfM6Q9u3bExoayo8//pgLkhYPIiJuU6uWEy1bPlYOKSkpuXYQsSgObAkJymWIg4MjHh6elClTLkP9QYM68cEHI9my5Rdq1KhtUtFmhaLYZ5lhyWuoj25b6JgQ4mchxIC0Ml15sadq1ar07NmTBg0aWKzn6elJ+/bt8fN77Bt++/ZtHB0d9YOmEAIfHx/eeecdUlJS2LlzJ3v37i1yIRSqVq1K06ZN+f3337l9+3aOg88VVy5ePMO4cQMJDw8xKr969SLnzp0kIcG63MwODo4kJycZJZ2ZPPlVqlcvxdq1xgrz0aNHhIeHEh5ufQiWojaoSamsBtLzyitvc+jQTVq16sj+/bsA+PXXZaxatYTp0xfRvn03evcenCsyFEeDsaUVwfO6qzSQAHQ2KCt68ZOzgFarpWrVqtSrV8/iqWIw7x565MgRXnzxRQ4cOEBAQABSSr799lvCwsIYPnw4devWZc+ePbz88sv58ZVylcmTJ2eagMcSwcHBVKpUyewhveLA3LlT2LRpNbNmGecdHj9+KN27N+LChVNWtVO6dFnOn0/gxInHo19a3zs4GMeounTpDG3b+vPqq9ZFH4WipwhiYxX7gCmklPTq1ZwhQzqj0WiYM+cjJk9+lfbtu/PDD1twcXFl/vzp/O9/rxMTE51tGYpan1mDJRvBTuAPKWVUfglTWEhMTNTP1JcuXYq3tzddunTJUC84OJhRo0aRqDtBlDYzBggLU+KZ/PXXXwB4eXmRkpKiz33cvXt3WrVqlcffJPeJjo62KgGPJR48eEBERATx8caz4kuXLtG3b1+qVavGxo0bcyxrQdKmzbNcu3aRJk2M/4/9/GqQmJhg9T61EqDQOBz13LkrmD17WYa6zs6ueHn54uHhabWcRWl2q9EonkLmKFWqFM2bP42dnT1JSYn06TOU+/cjcXMro6/z668/cuPGNUaMeMfkNpI1FEdFYPZksRBiIvAcYAf8CWwDjmQj1ESukh8ni7VaLSEhIfz6669MnDiRHj16sHnz5gz1/P39TRqDy5cvT2JiolHoCWdn52IRP2fx4sVmPaisjRaalJRETEwM9vb2lCv3+I/x/Pnz1KlThyeeeCJTt93CSm6fLM5rikoydinh9m149Ej5/OjRI6OAfbNnf8Tevdt4551P6dChu9l2fvnlBxITE+jZcyBly7pnSxYvL+WEcVHD0slisysCKeUXwBdCCDegE/AK8K0Q4jywHWW1cDcvBC5obGxsqFatGl26dOHSpUtmPXzMzYCjojIuotLSME6ePJmgoCCaNGnCtm3bCAgIKFKZypycnKhYsSLR0dFG20NZCT7n6OhoMvR21apVOXnyJC4u2U8uXli4dy+CsmXdMyQqyg6TJr3K3bs3mTVrmUW30uxQVGa39+4pSmDv3u189NFrPPVUO2bNemwjuXHjKmfO/MvDh7EWWoH+/V/J9F0PHypbUImJyipESiVkt6srVK5cdPosK2Q5H4EuPlBXoLOU8rnM6uc2+RlrKDPMrQgyw8nJiSFDhrB48WIGDhxYJI2sX375JRMmTECr1eLn52c2AU9JI21FULeuK0lJiZw8+QBX15xNuZ9+uhphYdf5668r+PlVZ/LkMURE3Gbq1K/x9vbPUdvlykGZMpnXK0ji4iBtbnXy5FF69WpO3bqN+f33f/V1wsNDuX8/Eh+fqpQrVx6NRsPNm6E4O7tYtVWm0SgxiyIiHq860uPkBA0bgqcnFJEUIkbkRj6CKrqcBE+jxB46WhBKIL+4ceMG48aNY968eRbrmXMPzcwPPjExkbVr1/Luu+/Svbv5ZWxhplevXnqjekhISJaUwMqVKxk5ciR79uzJQwkLjsTEBBIS4tFqtQwbZmxb6tnzSVq39uPOnczzYKfx6acL+O67TVSooGTKO3hwN7t2beJRuhErOTmZLl0a0KVLfavbLuyz25QUYy+hOnUasXXrSTZuPGpUz9vbjwYNmrFw4Qxq13Zm8eKZtGtXI0NfXLlynr17t+v7P23L6b//IDzcvBKAx/aUomRXsRZrThZ/AbyEkmIy7UC3BP7OQ7kKlLCwMObNm8eTTz5J//79EUKYTFcZGBjIlStX+Pbbb7l7964+NSWQaRrG6Oho5swpuiGbfH19CQsLw8nJdF5dS+zbt4+lS5fSrFkz2rd/HI8/KSmJadOmYWNjw7Rp0yy0ULhxcnLm4MEwWrXyISzsutG927fDiYy8k+nhMEPSp6j8/PPviYmJxtOzilG5nZ0dFy+eBh5nwsuMwqwIpFRm6IYy/v77zxw58jc9ew7kqafaZXjGxsaGpKRE7t27i49P1Qx2gIULZ7B+/Qpmz/6J7t2HcOlSxjMJ5khTAIW5z7KLNRuYvYAnpJTJeS1MYcHf35+vvvqK8PBwKleuTKNGjfjvv/9M1t26dSt37tzhwIEDGbyALKVhzGpWr8LCpEmTWL9+PdOmTePFF1/MVhtDhw6lWbNmeg+qNLRaLZ999hmOjo5FWhGAkiNg9+5LGQaiLVv+Izk5mfLls5/vsEUL0/GpbGxs2LLlRAa3UksU5kEtKkpZERhy9Og+1qz5jvr1mxopgpUrFxEVFUH//q8wbtxUnJycmTo1Y7TRWrUa0KbNszg6enD6NGYT3ZsirW5h7rPsYo0iuIbiOVRiFEGVKlUYN24cFy5cYPny5UaeLempV68eqampVKliPDsLDAwkMDBQn8EsvQfRJ598wuXLl5FSEhAQkGffJbcJCwvjwoULepfZ7NCqVSuTrrMODg5Mnz69yORwtoStra3JBDFZce1M459/9hAScoXWrTvi61vNYt06dUw7NiQmQnz84381GiUXQWH1GEpIUIy26endezBly7rz00/z+eefPcyfvwaA1auXcO7cCTp2fB5nZ/POBqNHj6d37/FcvZo1JQDFe2vIkvvofJQtoCpAQxQXUr0ykFK+lR8CpqcwGYutJS1J+40bN/TbRzdv3mTixIkARcrYevfuXaKioqhUqRKTJ09Go9Hw/fffF7RYhYa7d2Hlyp9YtWox/fq9wssvj8xxm2PH9mPbtl+ZP/9nunbty4oVC3F2drHoAaPVwoMHyhUTA8kmpnE1aoC/P1QoFMlhH5OaCrdumR+o79+/R9OmHjg6OnHqVAx2dnasWrWEu3dvMmjQaxaV7b17cMW6TJ4mefJJxeW2rPkEcnmGlJCTPFCWjMWWFMFQy0LJn7IvUvbJD0UQFhbGpUuX8PPzo0aNGrnS5qVLl5g+fTorVqygZs2ahIWFGYWoLmrnDKSU+n3u1NRUi3ve6RXhoEGDaN68Oa1bty52Aebu3oVPPvmQRYs+p0yZcnTu3Iu33pqi9+6ZPHkMNjal+OST+VbbCYKDv+X06eO89NJIatasQ/36pXF2duHs2YxT5m+/nUNIyG06d/4AZ2fLI3y1alC1Knh4ZPlr5hlSKn2YLnp7Bv7+ewdubqWpV6+pUYa/sLDrzJ49mStXzpOS8oiWLTvwySfzAUUhntdFTbMmiJ8pmjZVFIF79o4gZJtHjxTvqZz8uWRXEfQCDkopI7L/6twnPxTBggULeOONN3jttddYuHCh2Xppgb+s+YU6c+YM9etb9uaw9kBWYWHx4sXY2dkxdOhQSpUqZbKOqa0xGxsbtFot+/fvp3Xr1kb1jx49SmJiIi1btixSKTzTuHsXbty4w/Xrl3n77YHcvh3O6tV/8dRTz6DVaqleXemna9e02UrzGR//kJkzP8TGxsZoDzxtFv3yy7W5desCs2efo0oV06Gu0/DzU5SBCT+IAiMiwrLx9vjxg0RHR9GoUQsqVMhoZ7l27RIdOz6h/9y5cy8WL15PQgKcPQu7dy/j++9fpW3bIYwe/V2W5WvcWBmM83MVpdEonk2OjjlT2tk6UAYMAhYIIRKAg8ABFMVwJvuiFH6Cg4P1mbdWrVrF9u3b8fPzM+nquG/fPjp16kT37t3ZsGFDhvuGVKtWje+//54HDx4wYcIEkzGMQkND8ff3L9TbRLNnzyYyMpK33nqLV199NdP6kydPzuA9laZA+/fvz8yZM42+a7du3bh37x4RERF4FKapahbw8PDEw8OTqVPn8eDBfSNbQVDQt6SmpmY717OLi6t+hgvKDDoy8rHrY7du75KYGIObW+YjlVZbuAyf0dGZe/DMnz+NvXu38+OPW428qU6cOIKtrS3+/jX58ssVuLi44udXA0dHJzQauHhRUZa2tvZoNI949MhKVyEdaV5Yqan5ayPQapXJRTbyP2UJa5LX+wOtdFdLwBflHEG3vBXNNHm5IjA1ewXlJKwp4+i6devo27cvffr04bfffrP6PZkdRCvM20T16tXj7NmznDlzhrp162Za38bGxmLgvvTftUePHsTGxrJu3ToqFLbNayvIixATyclJxMbG4ODgQOnSjzen4+Ph2jXl3+xQpYpiJ6hcOZcEzQHx8YpCy4yvvvqY06eP06ZNJxITE2jZsgONG7egdm1nkpISOXcuHicn47M9ly8/PpCm0TxCq9ViZ+dgtTIODp7AkSPrmDHjP558sjQVKuRPn6WmKiukNPuOi0verQgy3dOQUoYA/wL/ASeACCDrzuNFAFOzV8Cs11CfPn1ITExk6dKlWXqPqYNohqSFo8itOP+5yYQJE/j888+pXLkyu3fvZt26dRmCxxmSmZts+qilv//+O3///XeRVAJpzJ07le++m0NyciYb3Vbyww9f0by5JwsXziAuLpaQkFBOnLjP6dPZVwJQOFYEaXmHrVECAG+//TFLl27m9u1wZs2axOHDfwFKEpo6dRphb+9gVD8y8rESAGVFYG/vmKUV2e+/zyYi4hoXLvyNVps/K4LkZGWrz5SRPy+wZCOYhLIC8AAuAod01ykpZR4vVMyTlysCc7NXIUSuJALZsWMHgwYNol+/frRq1YohQ4Zk2q6zszNDhw5l69atRl5HhWG1UKNGDa5evcrFixfNusCaW2UZklv9WxgID0/B11cZjPbuvcqFC6e5fPksK1cupEmTVvTqNQgXF1datmyfSUuPWb58AfPmfcI33/zCjz8uZseONTRv3od33sm4Cr116yIPHtzB27sOpUtbnj5WrAhPPKGsDAoCrVaZ8WZmGDbFX39t49Chv2jXrmuGg2V79/7B6tWLcXUtR926gdSu3SFHct68eYGYmLvUqNGC+vUdqVABfHxy1KRFkpKUfkn/J5GXKwJLiuACEA9sRrERHJZSWggCmz/kpSIwt2WTW0bctG2VtDbffPNN5s6dy82blsMNCCGMFFRh2ToaM2YMd+7cYd68eRZn/sHBwUyaNMlskL6iZiS3RGhoEosWfU1cXCyVK3vzv/+Nxdvbn/DwEGrWrMPly+eoVMmLQ4esDzFx585NoqKS0GqrsX37SlatmsiUKX9RuXJG5TtnTm+OHdvAO+/8RvPmlvNHVagAtWqBd84SdmWLlBTFlTOrM96UlBRsbW0tzuj793+ao0f3AdCv36f06fM//b3792+xfPk4XFzKMWrUkizLXaOGMhgb5KDKNVJSFHdfc6u8AtkaklLWAp4FjgHtgPVCiCNCiO+EEMOzL07hJSgoKEPIBDs7Oxo3bpwhrgvAhx9+SP/+/Tl9+nSmbQcHB3P58mX959DQUKZMmcILL7xgcZsIyLBKyUoSmNxESsmOHTvYv3+/PtHOhg0bMt3+CQwMNJuEJn3U0meffZYyZcpw/PjxXJU9v3B0dGTMmIlMmBCEj08Abdr0oGrVRixffpr589fToUN3Wra0foaalAQPH1YhLq468fGCtm0H8/XX10wqAQAfn3rUqvU0zs6ZO7rn1zZHeh48yP62R7duDalWzYZLl86ardOhQw/8/WvRunUgdeoYr7xSU1M4fPhXTp7cnuV3Syn122m5vaUWF6f0SU62+nKCVdFHhRC2QFPgaeBVoKqU0rS/YB6T1+6jabPXsLAwfH19uXPnDsnJycTExFC6dGmjeq+88gqPHj3C09OT2bNnW5yhW1ptBAUF8f7773Pr1i2r5SyI7ZRHjx7h4OCAnZ2dScVojlmzZvHhhx+Sms71oXz58nz99ddG/daqVSv++ecfkyE7igJpxuLUVDh1SjmA99prnjg5leaHH6KpWNGGsmWVA0nmvI7T0jHevauEQ84rypSB2rWV2W1ODipZS2qqsl9vbWwfU3TsWItr1y6yY8dZfVyhcuUq0KNHY3x8qrFx4xFSU+HEiYzhKQAePUrk+PHNuLiUo0GDZzN93/37txg3rioazSP69JnC+PGfULmysjVkxmM6SyQlKf/X1vw55eWKwKz7qBDiBRRPodZAXeAsigvpeyhbRcWOtINPaUogKCiI0NBQNBqNkU972r532mB4584dfWYyc8rA3LZIaGgodevWJSwsjJdeeonNmzeTbDBVSr8tlEZBxCpKSUmhU6dO+mW5lBKNRoONjY3ZcwQAc+bMyaAEAFxdXTP015YtWxBC4FZYYx9kQlxcLGfPXiQ+vhw2NjWIi7tH1apNcXEpB9gQEaHs/9raKv7odnbKz7a2j8MqPHyYPzP1tF8rrTZ3BjVL74mOVma9OZ1J//nnBbRaLeHhITzzTHW8vHxYsWIX0dFRlCmjnPIKCzOtBADs7Z1o2bK/1e+7e/cKGo3yd56Q8MAozERO+ywhQTFmF7TBHizbCNahOzsAHJdSWj8FzEPyakVgLiaQqb347NgSLLmMzp8/H3d3d86dO8eiRYu4r4u7W6ZMGQYOHMhPP/1UKLOddevWjW3btrF161a6du1qtl5eG+ELEz/+uJdXXmlHrVpPM3XqXrRaLTExd1m3bhpCCIYP/ybbZwhyGxcXqF9fMRbn1dm9lBRlsMvCAtIqEhLi6d69MV5ePixfvoMHD+6j1WpxcKjE6dMazp7dQ3LyQ+rUaY+LS/bjQUREXOfPP5dQurQH3bq9g7e3wMdHcR91cMj8eXPExys2kqwogYKyEfSRUs4ByqZXAkII07kKM764ixDiohDiihDiAzN1+gshzgkhzgohVlnTbl5gynXU3F58dnL2mnIZdXBwYPDgwbi4uBAYGMiMGTP0SgAgPj6e1q1bs2TJEry9vRFC4OPjUyiUACj2ExsbmwyJ7NNjbvVSVCOwWiIhwZGqVZtSpUotEhJiGTTIjtdf92bXrkXs3LmQgQNtmDIl77a81q8P4pVXSrNp0xeZ1k3TwXlxWCk1Vdnaunkz95UAgLOzC3v2XCI4+E9KlSpF+fIeuLtX4upV2L8/mBkzOvPll324ePFAhmf/+ecXdu5cRHJy5ntUFStWZcCAGXTv/q7+QBnkrM/SzkwUhpVAGtYE2/ifEEJv3RJCvA/0zOwhIUQpYAFKNrM6wABddjPDOjWBD4HWUsq6wNtZkD1XsTS4p4U9AGXlYC6khKWBLTAwkCVLluDn54cQAj8/P5YuXcry5ctp3rw5zs7OGWbHGo2Gt956iw8++IDw8HCklPqopvlJcHAw/v7+2NjYGJ1tWL9+PampqbzwwgsWnzeXwMdUassFCxYwaNAgDh8+nHtfIB+pXbsFn312jJEjF+Pk5KZLPu/K4MFzad9eCUCXlysCrTaVxMQ4kpMztzrmVTTNNB/4vMjdPGpUT0aMeN7kGY3wcOXdZco8Dj1h+HMaK1e+xw8/jCUu7l6W35+mALLbZ1qt8bmGwoI1J4srAL8DE4AuQC1gQGZbRUKIlsDHaZnMhBAfAkgpZxjUmQlcklJaHb4yr7aGzG3d2NraotFoOHPmDCdOnDDrE5/T7ZrMTuCm4eDgwNKlS/NNGZiLFbR8+XKrZbhy5QozZ85k06ZNREREWDwLMWDAANasWcOqVasYMGBArn2P/GL3bsUGkIZGk4Kt7eN9F61Wi1abalSWmyQnJ5CamoK9vXOm77C1hWbNci+BfZqROy4u522ZIyDAnpSUFC5eTNYnr79w4TRLlsyldOlGdOmSeVDklSvHk5QUx4svfkrZspYDLd26dZE7dy6zc+ci3N2r8OGHS6hRQwk6Z+A7YjXR0Urwu+xQIMbiNKSU93SG413AceBFaV2i4ypAmMHncKBFujoBOgEPAKVQFEfW/bpygaCgIJM2gnr16umOpNuZPXlcqlSpbCmBmzdvcvbsWSpXroyvr69V+Y+Tk5OZPHlyvikCc7GCsiLDwYMH+e677xg8eDDLly+3WHfMmDF069aNp556KtsyFybSD8Y2NjbZinppLQ4Oll2RDcntFcG9e3nv/vjdd5tJSXmEnZ0dkya9yvbtv9G1az/Wr/+Rxo27W6UIBg2abfX7Nm6cwd9/K4GWS5euSGqqcvYgO32m1eatkswJlryG4lDyEaRhD1QDXhRCSCllNvShyffXRDmn4A38LYSoL6V8kE6W0cBoyLt95bRBLX3eAMPBztz2kVarzdbAvHHjRl5//XUGDx7MlClTePPNNy2ewM1MjrzA0pbZkiVLWL9+PaNHj6Z3795m26hWrRrDhg2zyh30mWeeybashYE//viJxYsn8vTTQxk48PE+/YUL+4mJuUu9eh1zZLzMTXLTRhAdnT8+8M888zhVenJyEtHRUdjZeTJ69FLc3XP/iHT58j74+NTH378xrVq9zK1bIdy5c5G6davTrFnWQtTHxRXepDZmFYGUMqeLxZuA4UFsb12ZIeEoJ5ZTgOtCiEsoisEoM7WUcgmwBJStoRzKZZaAgAB69+5NixYtePnllzPcNzdrz65yqlatGp06dWLz5s2sWLGCXr168d9//3Hjxg19vH9TXjX5aWQ1951tbGzYsGED27dvp2PHjhbbaNOmTYa0lMWV+PgYYmLuZjBELl8+juvX/6Vs2cp07TqOF16YmCfvv3TpH3bsWECNGs2tmh3n9FCZlMqet6lsYnnNBx/MZNSomURFladUKeOhbMAAxQ7zzTdhlC9vfHQ6KSmehIQYnJ3L4OhoPpsZQP/+0+jf/3Ha1LVr32fdullMnvwZzZp9mCV5C6KPrMXsGlUXddQsQsHS4fSjQE0hRFUhhD3wMrApXZ0NKKuBNFtEAEpqzDzHlAH01KlTfPXVV/zxxx8mn8mK0dMaunTpws6dOxk3bhxOTk60bNmSkJAQbty4gYODA15eXhneZ29vn+33ZQdzAfJSU1PZs2cP48ePp2/fvrn2vtOnT/Pzzz9z7ty5XGszP+nefRQLF96iX79Pjcpr124HwIMHt7l2Le9OTd+/H86BA8GcP/+3VfVzGlY5Njb/BrikpESWL1/Ab78p24ulS1ciNrZSBiUA4O1dFxeXciaNxUuWjOT116tw/Hj64ShzfHzq0bp1Rzw9s7b6SE42f7ahMGDpHMFaFEWxEcU2EAk4AjWA9kBHYKqUcqfZxoXoBnyFsv//g5QySAjxKXBMSrlJKO4Tc1CM0KlAkJRyjSWBc8NYbO7MwJQpU7Czs6N27dp6v/jAwEB27drF6tWr6dChA8HBwQwfPpyUlBSrThRnhbSY54Y8++yz7N+/X5/NLKshr3OD4OBghg4davJQmDVxgh4+fEhSUhKurq6Z5iP+4IMP+OKLL5gxYwYffGDS47hQk95YbMj9+ze5du04Zct6UqNG8zx5f2RkKBcu7MPDw59atTJfhTVurBg9sxNWWatVPHXya7sjMvIOzZtXpkKFShw5codz55Ttltu3LxEefhZPzwB8fOrqZEtFo0nB3j7j79uyDhXj0wAAIABJREFUZW9x+PCvDB78Ja1aZVz5G5L2N3nq1E7Cw89w+PAvdOzYjilTZuCZhfTTUVE5tw8UiLFYStlP5+4ZCLwCVAYSgPPAVpRB22LcQCnlVl1dw7IpBj9L4F3dlW+YOzOwaNGiDINaTEwMERER+lDLgYGBXLhwgcuXLzN37lwq50Jg8rS0eabcCiMiIkhKSmLTpk1UqVKFKgUQKvLpp582qQTAOnvF3LlzmTJlCpMnT2b69OkW6zZs2JB+/fqZjWZalHF3r5In+9iGeHj44eFhfUS0nGwNxcTk7563vb0DgwaNxdnZhRs3ICQkjI0bP2fnTiWLYPfu7+kNwTY2pbC3N330d9iweQwbNi/T92k0KbzySmnKlKlI+fK+XLy4X1cezeTJMzJ52piCiiFkLRa9hqSU54D8j26Wx2TlQNiyZcvQaDRGOQmmTZuWoV52uHDhAo0bN6Zq1apmt0KWLVvGrVu3ePrppwss7IJhsLz0lC1blr/++ot27dqZrWNvb0/58uWtkn/AgAFF0m00jd27V/PPP3to2fIl6tUztp1oNCmAxNbWvmCEM0FqavaMxVpt3sZBMkWZMuWYNm2BQQJ6oVcCzZr1xMfHcirYrPLwYRQpKUk8epRI48bdKVOmIj4+9WjXri6JicmAdUeLHz0qvEbiNDJ1Hy2OmDOAenp6smfPHmrVqqWf6edlghQnJyeSkpI4f/48HTt2ZN68efqsXwMGDODatWts3LiRxo0b55kM1uDt7U2PHj3YsWOHUbA5Ozs7oqOjWbNmjUVFMHHiRCZOzBvjaGHj9On97N79Hb6+DYwUwYoV77F165dUqVKHV19dSs2aeece+/BhNDt2LCA6+hYjRpjPuQ3ZXxHExhbMydikJLh+XfnZ3b0KQ4Z8RZUqdahXr2Ouu+WWLevJsmWKYblcOWU8uH//Ju+9V5OgIHdu3w63qp38Si6TE/LOobkQY84Aev/+fTp06MDGjRvNPpuSksLNmzdNpq7MKj4+PiQkJNCwYUN2795tFGzuv//+48iRI0RHRwNw/vx5pk6dysqVK3P83qwSEBDA5s2b+eGHH4xORn/wwQeMGTMmV10+tVotiYmJeptIUaNTp0BGjlxMnTrtjMrt7ZXw5jdvnuPgQYtmsByj0SSzbt2n/PnnYiIjQyzWzY4LqZQF4w+flJTMwYM3iI5WTgQLIejadRwNGjybJSVw9Oh6Jk1qxrp1ma/sHRyc9UoAwMWlHElJiTx8GEtKinWasCj8KpfIFUGacXfcuHFEGZz3Tk5OxsbGhqtXr+rLVq5cyd69exk0aBDPPPMMV65coU6dOjzxxBNcuHAhR3LY2Njg5OTEsmXLiIyMpGbNx0nOly1bRnR0NKtXr6ZWrVq4uLjw6aef8vzzzzNo0KAcvTe75Ed4i8WLFzN27FjGjBnDokWL9OVpkWELW5a29NSt2woPj4znJfr1+4TatZ/h0KFfCAhomacylC3ryauv/oCrq3umSewNQyZYG00zISHvk6mnR6uFHTtOMm5cC6pXf5Lp04/o72k0jxDCxqT3kCkSEmK5fv043t6Z59xOIzVVw65d3yKE4K+/QvH19UGjEVYF6ysWikAXhXQpsE1KWch3uqwnMDCQyZMnGykCUGaka9euZdasWQDs37+f77//niZNmvDMM8+QmJhI5cqVc8VInEajRo0ylD311FOcOHGCadOm0aBBA9auXcvHH39M7dq1c+291hIZGUlkZCQVK1bM1lbZ9OnT2bJlC5MmTeL555+3WNfR0RFHR0ejGV56L6/Q0NBMw34XNmxsStGgwbNWxcDPDdq2tW6ykJ3TxXkRQ8gSWi1cvAhxcTaUL+9DmTKP3XXi4qIYM6YSWm0qI0cuoWPHUZm217hxN6ZPP0rZspbdfo4d28TBg6tp1qwnDx9GsWzZmwD06tUWIXxJSQGnTLK3azT5rzSzgzXrqYXAQOCyEOJzIcQTeSxTvhAVFWU2pIOh0XjgwIGMGDGCadOmYWNjQ58+fZg1axZ79uzJFTlGjRpFt27d9FtAhri7uzNx4kQGDx5MQEAAU6dOpX9/62Op5xYrVqygbt26fPbZZ0blycnJhIeHc+fOHYvPX758mUOHDhlFVjXH8OHDSUxMZMGCBfqycePGWR0ZtqA5fXo/x49vJjbWymzsBUx2tobyUxFIqRiGY2KgevVmfPPNDSZMeOz/f//+TbRaRXhTrqKmKF3ag+rVm2U4aJaeM2d28c8/a4iKCsPN7bHfZuXKVQHroqoWhdUAWKEIpJS7pJSBQBMgBNglhDgohBguhMijKOZ5T3i4eUOP4cndsLAwVq9eze3bt5FS6mejaRE4c8q2bdvYtm1bhkNiO3fuZOXKlfTr14/x48fnyruyS+nSpalduzZeXl5G5Xv37sXHx4fBgwdbfH7q1KkcPHjQYs4CcwQHB2dYtaWRn6E2rGX58k+YPfsFQkJOGJVfuXKYqVNbs2TJSKvCH+cG//77O8uXv0N09G2zdbK6IkhJyd8Z7rVrSiA7c1SpUpuWLV/m/+ydd3xTVfvAv6d7b/YqGxHZGwV5BUSWCCJIZQ8RWQ4QRV4QrSLyU5kyxBfFiiKKiyWgDAFFQBDZq0iZLdBFd3N+f5ykTdMkTdokDZDv55NPk5t7b57c3J7nnGcOGPAO7dpZvzpMTo7n5Zfrs3Jl4Szszp3H8txzn9K0aQ/atHmK1aslq1dL1qxZzuDBj7Jz544iz38nOIrBQmexECIcGAqMBP4C5qEUg8lkMmcnLCyMbt26Feg8puPZZ5/Ne25Nn4Li8M47Kh55wYIFBbZ///33TJs2jd27VT31zMxMDhw4wJ9//lnoHPZm5MiRHDt2rJBCCgwMpGLFioSFhZk9vkaNGrRp04ayZQtneRaFuevsjP0M6tdvrQ01LFjVMi0tiVOn9vDrryvYvHmhQ2TZvHkhGzd+yIkTu0zuY219fUeuBmJjVd1+c3h4eDJhwmoef3yqxQ7j5OR4vvlmFhs2fMCpU3u5dOk4mzcv4P/+7wltiK+iUqV6tG8/mEqVCppjT5/+h127fjYbVq3jTlkRWOIjWAfUBVYBPaWUuunFV0II+zUPtjNVqlRh/fr1LF68mHHjxiGlzCs5rV9AzVyLSVvQq1cvXnvttUI3cZcuXUhMTMTf35+UlBQSExNp3rw5lSpVMruacSRt2rTh0iXD8lEl488//+TVV1+ladOmzJkzp8hmP87GsGFvGs0sjoxsSvXqzTh//gC+vrao11g07dsPpnbt1lStajq+XhcCamn5A0cNbJcvg6HF8fDhzXzxxRQaN36Mp5+eXexzp6UlsXbtDMqVq8ncucd4883fmT69Nfv3f8fJk79x//0dzR7fr9/z9O7dj/vua0ROjirnbYzcXNuWlbBnuK4lbvb5UkqjBnFT6cp3EkOHDuX555/Hx8eHlJQU0tLS8PfPL0QVFBREkpEC4voJZiUhODjY6IDWq1cvfvnlF0aOHElSUhLDhg2jadOmlCtnvn56SbFHdM6qVau4ePEiAwcOJDIy0uy+SUlJbNu2Le+1qZyP8PDwO8ZRDBAUFMHbbzt23tSu3cAi99GtBJxJEdy4Acb0f0pKAv/++zdVqjQo0fmDgsrwxBOvExxcDg8PL2rVasXzz3+ORpNLZKTK2bl69Qz7939HrVqtC5XqqFu3GbqYiexs04rAlmah1FRVuqQYi2qLsEQRhAoh+hhsSwKOSClNVFVxfm7dusX169cJDw/nxo0bBAcH4+7uTpBBt4nBgwezePHiAiUWfHx8mDVrluEpi8XOnTs5fvw4HTt2LFRWISwsjDp16lC5cmVCQ0M5cMB+xcrAdHTOp59+yrlz5/jggw+KjPoxxooVK9ixYwdt27YtUhE0adKELVu25EUnmeoTMW/ePKvlcARZWZlI6eU0fYmLQndbW+L4zMy0f4bs1avKJGSMJk26M3v2IXx8SpZh7+cXXKCiKMCDDxacVBw/vpOYmMm0azewkCLQvwbmIodspTQTE+HUKTBw0dkUS4xqI4CPUTWHooDlwCvAbiGEeS+hE/Pdd99Rr149pkyZQlhYGO4mgqjnz5/Pp59+SnlthSlPT08+/vhjxo0bZxM55s6dy5gxY1i3bl2B7ampqfTt25f169c7LFLIlD/kt99+4+zZswWyikE11mnSpAldunQxe95nnnmGV199lWrViq6BEx4eTqdOnfJCao21+HSWns3GGDKkNgMHupGQUHBKm52dydatS/n550UmjrQPp07t5a+/NuRF1hiiMzdIWfSqwN6rgbg400oAwN8/hGrVGlGuXA2bfN7338/m1Veb8vvvXwPq+58+DT//DIcOPUb58vu5cmU28+fD8uXw3XeqD/O1a9f44oulfPddjNlZvy1WBAkJKnTW3grYkhWBJ3CflPIagBCiHPAZqtvYTpTv4I7Dz8+POnXq5EXC5OTk0K9fPwIDAwt00dKZSq5du0ZERAQvv/yyTQchXZG7qVOn8tFHH+WZYrZt20bv3r3p2bMnP/xgfbnc4mDKHp+RkcHp06eNmqUOHTpUKJrIkJEjRxZbptzcXAYOHEhUVBTHjh2jbdu2Nq34amt0/SM8PArWoZFSw4oVYwAoV64WjRo9WuhYezBnTjdu305k+fIbBAQUdurrO4mzsjCbIGUvRSClUgI2djdZ8LkaYmP/Yvfuyxw8CL//nkt2tm5CWEH7UJFLOo4ehfHj45g2bQz16zemTx/j96FGY9kqyxTZ2UopOqq/sSWKoLJOCWi5DlSRUt4UQjhxhW3z9O/fn/79+wMq4Wnbtm1s3769QGG0mJgYRo0alVdOIiEhgenTp7N//34+/vhjgoODSyRDTEwMp06dynutnyhVvXp17rvvPipXzo91fuCBB7h48SKnTp0qVgROUZhrvFOrVuFuTGXLluXAgQNGy3UUl5s3b7Jq1SoCAwPx9vbmhRdeID4+nsDAQGbNmkVSUpJF+QilxVdfxXH1qqaQacjTMz/GPS0t0fAwu1G/fkeystLJzc0x+r6hmcMc9giFTEpSA60l5z52bAdHjmzhvvva07Ch+VVoUUgJnp5DCQ2dwP79Adqt7sBR6tXzpVmzGoSGKvt/bq5yXn/zjerEFhpahf79RxIZWRuNRsnubVB/Lj29+M7d27eVKciRoaeWKILtQoifgK+1r/tqt/kDjruj7cju3bvZvn07o0aNonPn/MzPadOmFaoplJ2dzdq1awuUPygu06ZNK1BfCPJDU6Ojozl9+jTHjx/np59+4p133iE5OZmkpCSL2lkWh+jo6AKKD8w33vH09KRp06bExMTQtWtXkw7mo0ePIqWkTp06eQ3HTXHjxg0mTZpE2bJlSU1NzfuuKSkpTJs2jaVLlzJ8+HAbfFv7YSyMUQjBhx+eJSUlgXLlajpMlhdf/BZQA35qqhp4ExPV4BYSAvfrVVkwN4O1tX9Ao1GDqzUBcKdO7ea776LRaHJLpAj+/RdWrIBTp9RKNiwMHn4YvLzWkpi4i8aNu5GTc5T77/9PXgezhASlCNLTISCgLLNnL887X1paYUVQnLLTaWnqmiQkFPebFR+TjWnydlBTmz6AzmOyG/jGwgb2NscWjWkM2b59O7du3aJt27YFzB9ubm6Y+ppVq1bl7bffLpGJwtz5/fz8CjlI33vvPZ5++mmCg4Pt1gA9Ojqa119/HVAhtu+88w5nzpwhMTGRqVOnFjIPmWryo2/Hr169OrGxsZw9e5YaNczbd2/cuMEbb7zBZ599ZjRay5JGOKWJucY0jiIjQ9mVT59WA21cnHLCGssV+L//gz7aUBAPD6hsItk2KUnNhm3BtWvKDGSt6eTEid84dmw7deq0pUGD/1j9uVLCjz/CmjXqWgQHw1NPQYcOBess7djxKUuWDKVJk+5MmfIToJToqFHg5wdffgkP6EXkenkVdORKqZSNpSNkTo66HldM5/0B6rcpScdXc41pzCoCIYQ7sFVKaT6w1oHYShFMnz6dr776ijfeeMNk/fvIyEiz+QKGA561mDq/u7t7sbuBGcOakNAzZ87wwQcfULZsWWbMmAGYH8hDQkKKHLC7du1KXFwcW7duzXO6F4UpJSmEMNrH2RnIzMykXbueuLsH8cILawu9n5R0nbS0JMLDq1hcDsFSsrNh3z7YvRuOHFGDiyF+fpK0tNPAVVRX2PK8/DI8/3z+PlWrgrE5xtWrJfcR3L4NFy44vo8BqBXNkiXw++/qdefOMGCAGtgN+eOPb/jxxzm0bz+YLl3UxcnNhWeeASHg66+hYsU40tPTqFatJu7u7lSunB9GmpZm+WTg6lW4eNGyhD57KoKiGtPkCiE0QohgKWXh//Y7mEuXLnH69Ok8M8iVK1fYuHEj1apVy2vGbix0UR+dGae4isBUaKSpzytOSQVrC7bVqlWrQJ0fgDfeeIOEhATKGOmTZ0wJ6D4nMjKS6OhoNm3aZLXcpvwVAQEB9O7dm6VLl9o9p8Ja0tPTOXBgC35+xn1HY8YoeSdN+ppWrZ60yWdevQrbtsHOnfkDrBBQsybUqwcXLnzGsWOLGDp0HO3b9yU6eiinT+8lKOgnkpO7FzJhpKVBQEDBbRpNyZTA7duqh0BpNW9PTIS5c+HsWRXqOXYsNDeRAZWUdB1//1D++98deHrm23vc3dXMPytLfY/HHmtIUtItDh5MIDQ0nPh48lpXWlqi+/x5tTpyBiyxL6QCR4QQK4QQ83UPewtmb+bMmcOJEyd44oknOHXqFC+99BIjRozIK/kABUMXTVGSejemQiNNfV5ISAiDBw/mr7/+svgzilMi48KFC7z44ot5voHBgwfz4osvGu0wFhISYvY81tZl0mg0nDt3jnHjxuFrEKDt5+dHUFAQ33//PddL2/5iBD8/P959dzPjxxvvN1C/vlpY26KT1tmzMG8evPgi/PSTUgLVqsGwYbB4Mbz1lprBVq58EI1mH9nZN/D29mPWrD2sXi1p3bo7UNiWbWwOUlyXlE4BHDliGyVw7dpZzpz5w6qCfklJ8Oab6nqVKQOzZplWAgBvvtmR6OhHuHTpWCGHv67ddno6VKlSg8jIWuRol16ZmWoVcPly0WU4NBrlDHYWJQCWOYu/1T7uKiIiIvKSltauXcvq1asBCsXE62rwmzLjlLTejaka/8ZWCjVq1GDVqlX07t27QNcyfdOPru7PzZs3Tc6qwbQCO3v2bJ55qH79+kXWVFq4cCEjR4402UjG2lVTdnY2NWvWxNPTk+joaKZMmQIoU1N0dDQhISFkZmZSpUoVi87nSLy8vGjevItJs8C0aVtITb1FUFDxut5JCYcPw7p1aiABNVNt1w4eeQRq11arAX0GDHibgQPfLTC7hfwkqPR0ZVbShY2mp6uBSt88ZG19IY1GmYBsPdD9+ON7bNu2lOHDP6Jz5zFF7p+aCu+8owbnqlXh1VeVg9wcdeq0wc8vmOzswiE7vr5K4aanw9df789TDDosvU4nTyoF5UwUqQiklJ8KIXyBqlLKkw6QyW6YspXXr1+fIUOG0KFDB4YNG2b0WFNmHHvUu9ENmoaylitXjkuXLtGsWbMC30lfLv1KnRcuXEAIYdTWbkqBDR06lN9++41u3boxdOhQcnNz2bRpEwEBAUY7kelknTRpEgkmwh10ZqJz584V6eReu3Yt7u7uZGdns2DBAl588UUeeughevfubfa4OwE3N/diKYHcXGXbXr8+v02jnx907AiPPQbh4aaP9fbON4InJl4jKCgCNzf3vEEsM7OgIpAy3zwUHx/PokWL8fIqx8CBRQ+8oIrExcXZJ/QxIqIaNWu2LLKPAKjPnztXKaQKFSxTAgCjR39s8j1D5WmoCCwhIcH5lABYVnSuJzAX8AKqCyEaA7OklL3sLZwtMWYrHzp0KDdu3GDChAm0a9fO7PGmBmd7JTZZ2g3MmOlHH2NKwJwCCwkJISIignnz5lGrVi2SkpLo0aOHyZpL//zzD5GRkRw+fJgWLVpw+fJlo+eNi4srUgnofiOdo/zixYssWbKEpk2bmj3OWbh+/Trr1n2Fp2clWrY0rMpiPRkZsHcv/PBDfgG2oCDo2RM6dbJuIJJSMn58VTSaXBo0eITY2AeB6aSnK7u3vtM0OVkNeuvWreONN2YCWKQIzp2zb8RU796v0rv3q0Xup9HAwoVq5h0WBtOmWaYEikJ3vTMyildMTqNRjmFnxBIfwUygJdqcASnlIcA2Od4OxNiAmZOTw+zZqophSkoKCQkJhcoo6BMVFUVsbCwajYbY2FinyG611Eehs3cWVaLhxx9/JD4+Pi+BTErJY489ludAN2TAgAE8+OCD/Pbbb/Tq1auQXdXPz48FCxZYVLLXEn/GoUOHWLlyJYcPHy7yfI7m3LlzLFw4gR9+eLfY59BoVCOWZctgzBj19+pVKFcORo6EBQugRw/LlcD583/x4Yf9+OyzSfj5BePrG8StW5dJTlbtWI0NallZypySnW1ZoqBGY38lYA3ffw/794O/P7z2mvkVkzXorwhmzBjOf/5Tl7/++sPi469dc97+BJb4CLKllEkG/+DOGb9nBlMD5tWrV5FSMnPmTN5//31effXVQp24nIWTJ09y5MgR6tatywPaQGZzfgB9pJR4eXmxa9cuk/Z1fdNZ+fLl6devH6+//jobNmwwed4HHniAo0eP0r9/f3x9fQusQIQQDBkyxOK6TKZ+I/3tX375Je+++y7R0dE0atTIovM6ijJlyvD448/j52e5/yI7W5kLrl5V4Z8HDxYMr6xbV5mA2rUzXeXSHGlpifzxx1ruu68DS5deJycnmytXTnHkSDCrVkF6uobMTAEUVOC5udC9+zN0726+5WVmpvJXFCeByh4cPqzCO4WAceOgUiXbnVtfEVy7Fsf586dISbHMziNl0XkCpYklt9ZRIcRAwF0IURuYAOyxr1i2x1z5hBs3bvD+++8D5qNgSps1a9bw3//+l2nTpuUpgqJCXPXJysoiNjbWqCIwNJ1duXKF+fPn4+Pjw7vvmp7hfvTRR9y8eZMdO3YUysKWUvLRRx+xYcMGi8xopn4j/T7JLVq0YPDgwTRoULJSxPagZs2aTJiwsNDMOCdHDfIJCfkllrOz1fa4uMIx5OHh0KqVcgCXtOJklSoNmDDhq7y2jB4enlSpcn9e169Dh3YxdeqHfP75OjNnMc25c45TAh9++BTHj+9g/PgvaNCg8Ar17Fn44AM16PbtC0ZagZcIfUUwadISypXLomJFy4JFEhJKVnvI3liiCMYD04BMYDWwGXjT7BFOSHR0NCNGjChQ0kFnKw8ODiYkJISwsDAmT55cilKa5/7776dPnz7cd999BWbvQUFBhIaGGu17rI+/v7/J1YApX8Onn37K7NmzTZZVDgkJYfPmzWbt/xcuXMhzwptTBsaUmru7O6++mm8X7tu3L3379jV5Dmfj/Hn46CPTtmEhICJCDf4NGigFULly4eif4hIUVIY2bQpXr9WZlnJyvNi9+zuTxycl3SIjI52IiHKFKvRev+5Yx+ft2zdJTr5u1O8VHw/vvqtWKA89lJ8tbUv0fQRly9agphWVQpx5NQCWRQ2loRSB83UKt4KoqCiys7PzBqSQkBDGjRvHwIEDEUIUOYg6Ayph6QDffvttgWggU0ld+vj5+bF06VKT/QBMmWWuX7+Oh4cHnTt3LpQYpq+M3NzcjGZD68jOzi4yjFT33tSpU7l06RJVqlQpcRkPR5KSksK1azdJSwvG3z+E/fth/nw1+y9XDlq0UGUNqlRR9msplenChjX7TLJx4zz27v2Krl0n4OcXzN69x4EXCQ6uxeDBy40eM3nyMNauXQnAvn1XKVMmP4EvO1tF5DiSF174lqysdPz9C67as7LUSiAlBRo2hNGjjWdHlxTDqCFLycgofi6Goyjycgkh6gghlgkhfhZC/KJ7OEI4WzN06FC6du1KxYoVSUxMzIuciYmJITIyEjc3NyIjI23WmN6W6Ew3OtOJNaWeLKnhbyqcVEqJRqPhisGURl8eKaVZJaDDEsd2VFQUFy9eZNWqVQghGDRoUIHfRKPR5DUVcja+/fZbBg6M5NNPJ3DgALz/vhowHn5YzVajopSjt1EjqFVLxf07Qgns3v0Fn302idOn95KWlsSxY9vZuVP1Tfb0LEPHjsbLhJ8+fSzvuX4vX7C8LIIt8fMLIiSkXIGciOxsWLRIrbzKloXx44vnS7EEfUWwe/ePvP32ZPbtM90PWscdMMe0KGroa1TD+teByXqPIhFCdBVCnBRCnBFCTDWzX18hhBRC2L315caNGzl79iyPPvoonTp14osvvigwoBUnG9YRFBUmagohBG3atEGj0bBv375CA7qO6Ohos+WkT58+XeCamJLHVIMfsDz5Tlf+29hvsmfPHsLCwujdu7fTKXBvb2/Klq1CQEBZVq9WM/5evdQM1bA6pSNZseI5AF566XuaNu1Bo0Zd6d17IgCpqZlcvHjO6HEfffQNP/ywn6NHU6lQIb8anTW1dOxJejrMnq38L76+8MILhctj2BJ909Dhw7+wfPlc/v77zyKPuxMUgSXVRw9IKZuZ3cn4ce7AKaAzEAf8CTwtpTxmsF8gsB6VpzBOSmm2olxJis5988037NmzhyeeeIIHtdWbTGUMO1uVS3OVSq1h3rx5TJgwweh7OlOPqSgk/WtirijcqlWriqxIag5zv8n69etp164dlSpVIjY21uxn2KP/clH88otK/Hr/fWX7/+AD+81QLeV//xuPRpPLgAFv55lVsrJgyBCATOrV68KaNRsJDLRseVJaNXJWr36V5OTr9Ov3JgEBFZkzRzWKCQmBqVNViQ17snevMvW1agWdOm0jO/sAbdt2pFGjFiaPyc1Voay2qNVcakXntPwohBgLrEM5jAGQUhbVHaQlcEZKeU4rxJfA48Axg/3eBN7FwlVGSdixBYxEAAAgAElEQVSyZQtLly6lZs2aeYrAkpBFZ8DSMFFzuLm5ceLECZPvx8bG0qdPHz788EOjg7z+NTEXhRUVFUVmZiYjRowAVFjl+PHjLR6Ezf0mhw4dIiQkhGPHDG8jlXMwRI1uAFYV27MVubmqpSFA9+6lrwQAhg1bUGibpycIoUFKb06c2MvFi3HUr1/HyNEFkRJKqy/Qvn3fcPXqaR57bCorVuQrgRkz8gu+2RN901CDBo9Qv/4jGLQ4L0RSkm2UgL2xxDQ0BDVI7wEOaB+WTMkrAfqxEnHabXkIIZqiup2tt0jaEvLUU0/RpUsXxo8fnzcrNmWuKGkNIVsTHR2Np7k+gnoIIYyaaDQajdmcgJiYGD744AOTpaL1r4kxU5J+xvKwYcPo3bs3VatWJT4+nl9+sdytZOrah4WFFfCTGCM3N5fRo0czceJEq4vtlZSLF1URuHPnVAZwRycp3p6Vlc6qVS+xebPyC6SlJXPq1G68vVU6UIMGvVEdafNJTk7kjTcmUr26oGfPZhw+rEwgKSnFy6o1xurVU3n6acHTT1sWIvX007MZMmQl//tfdQ4eVA73V191jBKAgqYhsKzK6J1gFgILFIGUsrqRR4kzi4UQbsD7wEsW7DtaCLFfCLE/Pt7yyoOG/Oc//+Gll15Co9GwYMECOnbsWOSA5ixERUURVNT0A2U+0Wg0Jmv2m1vpzJgxgzlz5jBr1qxC18TDw6PANSmqqbwQgnXr1vHdd9/RrVs3WrVqZcnXBEwrGcAiP0laWlqBmkv62Gull50NjRsn8c8/4O9/m5deKl2/gD5Xrpxmw4b3WbtW9ZeIjf2LmTMfJCdHXaNnn11DmTLVCxxz7dplVq5URYb/+ecgiYlqX1t2z7p927pRsmHDPvzxxxBOnPAgJAT++19VTM5R6K8IEhOvsWfPTs6cOW5yfylVCew7AZOKQAgxRe95P4P3LEm9vQToB61X1m7TEQg0QLW9jAVaAz8YcxhLKZdJKZtLKZsbq4lvDa1ateK9994D1Ay5qAHNmSiqV6++AivOSqd///5MnjyZkSNHsmzZMsL1cvMDjHjhLCm50aRJE9avX59XysMSTP0mtuhVbK+VnqcntGnzA7CBrl1XUqdoK4vD+OIL9a8cHq7+HYODy1G7dms8PNTUXldvSJ/Q0AimT/+A4cMn8f33f9KkSRuktO0Md8iQ+cyZc4RFi4ruV5mYCO+9BydOqPpBM2c6VglAQUVw8OCPTJnSgeXL/8/k/qmptls92RtzK4IBes8NKz11teDcfwK1hRDVhRBe2vP9oHtTSpkkpYyQUkZKKSOB34FeRTmLS8K2bdv4+++/GT9+PJmZmaxfryxSzlhDyBjmBjFDBWYqCshYE3pT6M++ExMTrY6mys3N5ebNm4Uyji3B2G9izSAeHh6Ot8GU3N4rvY8/7szSpZXo1Mk2TWdsRdWqDQkNrUi3bi8CUKlSPaZP305GhioQmJ6uISmp4AoyIqIsw4dPYvr0D2jYsDlBQcE2NQsBeHp6U6VKA8LCzNeB+PNPmDwZjh0DP78Mpk7NoTR6EumbhsLCKlO37oNUrGj6/+lOMQuBeUUgTDw39roQUsocYBwqE/k4sEZKeVQIMUsIUSqVS5966inat29PcnIyXl5eRme5zowpk8nnn39eSIEZzqp1ZRrCTVTgunnzJuvWrePAgQOACg81HMCttbH37duX8PBwNm7caPEx5jD2/T09PfHy8iqwzc/Pj3nz5vHiiy/mbYuIiLD7Sq98+fLUqtWIkBDn6pwWFTWHxYsv0b794Lxtqak3cXdXsR8zZz7Gjz9+WqRT04S1zW5oNPDVVyoCKzUVhNhKWlptypUz0ofTAeivCBo37srMmbvo399kVPwdpQjMxTRIE8+NvTZ+Aik3ABsMtv3XxL4PW3LOkvDggw8SHx/PqlWrOH/+PDNmzChQx8bZsbYUtn4p67S0NFJSUkwqv3/++Yc+ffrQrl07fvvtN5tEU+ma5PTt25cRI0bw8cema71bguH312Ue628zvCb9+/cnMTGR+++//476re1NaGgFGjcuz4EDIKUvGRm3SU0FXRO6s2dPEB9/lbi4WC5dukD79l2JjfXj9u10atVqaRMZPvvsBTZu/JC6ddsxZcr6Ai0+k5JUKel//lHlNgYOhNOnl5Gb2xQPD8uCJmyNp6eKAsvJye/hcPOmcWd1err1DX2K4uZNVULDHr4nc4qgkRAiGTX799U+R/vatp23HcT3338P5Jdk1mg0hfrzOjuW9ikwxM/Pz2zCmL+/P7169eK+++4DzIeHWsqKFSto06YNo0ePLrIXgaXof/+JEyfy7LPPMn/+/EI5H6WRQ/DZZ5/x88+naNx4IJUr17frZ5WU8eOrcePGbOBpnn12LQ8/7EFSUr4iWL16OStWvJ+3v6dnMO+99wIAK1feLtDwprjs3fsVACdP7ub27cQ8RXDpkkoUS0hQ0Vfjx6s6TLCmxJ9ZUnx81OokPV0pguRklWBn+K9lyzwLjUb1pV6zBqZMgenTbXduHSYVgZTSdIroHUxMTAyenp5kZ2ezcuVK2rZt67Q+AUfSrFmzPEUJtunIJoRg1KhRDB8+3GQUU3FITk7m/fffZ/58FdUSFBRETEwMU6dOJS4urlBXNkflEKxZs4b169dToUIrp1cEOTnZSKlqVGVnq2FAv/x1lSrVadmyPTVq1KVs2QpUqZKfNGXY9rK4DBu2kC1bPqJDh6EEBoYjpfIHLFumKprWrg2TJinnsLPg66sUwcmTf7NkSXuqVm3IwoU7CxSgy81VRfBsQXy8KqFxUtsb8q+/VDSSrYoS6nCCdBfHoNFoWL16NaNHjyZb6/FKS0tzyADhDFy6dImZM2cSERHBO++8U+T+tuzI5u7ubrb0hLV4eHjwxhtv4OHhwZUrV/jxxx8ZN25cntIylgxnbe/k4jBkyBDKlm1NpUr32e0zbEWnTmP4+Wf/vB68oOLic3NVH+QhQ8YxZIjqI6HRwIEDkuXLb5CRkYqbm21+y5Yt++R1cktJUQOermhA8+ZqJaBz/0gpyc7OxMPDy2ary+KgcxhnZ3uRlpZEenoyCQmqkKBO1hs3Sl6HKStLZal//bVacYSEqByV11+3vRIAC0pMOBvFLTHxyy+/mOyy5WzlJOzBqVOnqFu3LrVq1crrFqZvPqlcuTLR0dEMGjTIZp/522+/MW3aNFq0aMHcuXNtdl6At99+m/LlyxMVFUXdunUtyroWQth0ZWKMX35xjjo8RbFixVi2bi0DvEHFimt45JFLdOv2AlWrFu6BkJCguqbZA41GNeP59FP1Ob6+MGCAasWpP97funWFsWMrEhxcjiVLrtpHGAuYOVPNzl9/PYdq1VLw8vLFy8sHb2+oU0etZP79V/kRistff8Enn+TnbDRpksNzz3lw332lW2LiriBZf91rgLOVk7AHFSpUYNmyZXkOU8NGNBcvXmTw4MHs27ePBQsKlyQoDunp6ezcuZOdO3fSokUL+vfvb5PzglLe06ZNY+TIkRbXYHK2bPHS5IknpiFEJlu2wOXLlzhzRrVcvHIFypWTZGTcxt8/gFu3brBnzwUglN9++5wrV07Rr98sypatbv4DiuDGjcv88MMZ9uxpRGqq8g3UrAkTJ4KxVKHMTOWX0Hcolwa6FUFWlgcBAaF52zMz4ciR4p9Xo4E//oBff80/T0DAJVJTx9KgwX8IDJxIWloqYJ9Ix3tGEejKHRgb9O+FASIwMJBRo0blvTZVPXTNmjU2UwTNmzenbdu27Nmzx6KexZYSExPDyJEjydDl+luAM2aLlyZhYZXyirQ1aNCbHj3aAyoa5sSJeHr0KEeNGnUZOHASb731HA0adOKff7YC0LnzWKsUQWrqrbxBMzMTduyA9ev9uH69vXaPMzz4YDLPPtvUZG2m8uVrsXLlbXJzSyd0VIdhmYmSIiX8/TesXp3f38HLC/r1g9TUj9i16yBBQU+RlZXBK6/0oHXrHyyqMGAt94wiAGVOKKkD9G7BXCOamJgYm9jSQ0NDWbFiBSdPnqRu3bolPp+OadOmWaUEwsPDmTdv3l3vB7IW3aAWGFidGjXyB/a//76Ep6c3np4BpKWVo1q1xmg0+UbvcuUsa82Vm5vDxIk1uHnzEvPnp3LwoC/ff68rWheCh0cKPj7v0LDhRR55ZLRFBfrc3Ut3yNJFXycmZrN48QiklDz//KpinSs2Fj7+WLXYBNWlrkcPZf5Rn/MWAwa8BcCxYzvo23e8XZQA3COKQN8WHhYWhq+vLzdv3nRYWKGz8NNPP3H79m369etntpqpLR3o9erVo169eiU+jz5FmfLc3d3Jzc2lWrVqzJw5k7Zt29rUWX23YGp2W716E1auTCMtLYmAgFBatHiCmzcv8/ffmwkICCc4uKxF58/JySIzMwyIZsIEn7yEtchI6NkTmjcPxMvLkmo1zoMugunmTTd27VqFm5t7sRTBH3+oFqaZmSpkt3t3eOyxfIezIfXrd6ByZePv2YLSc787CMNOWjdu3CA9PZ1Vq1Y5dTkJe9C/f38GDBhAWlqa2UY0tqzSOX/+fKZPn54XqWULTJnyqlWrhpSSnJwcpJTExsZSs2ZN6taty+DBg40eUxKcrTGOtegUwdWrV/ntt4Kyu7m5FbCBh4VV5OGHh9G8edFFAaRU0T///W8iqal/IuUg3NwEjRrBuHEQHQ1t25oe9Izx55/reOutR9iy5SPLD7IDusT8W7fcGDNmJePGfWFVnxBdtvSHHyol0L696nHw+OPWXQ9bc9evCIzZwh0RSuiMPP744+Tm5iKlzPvuzzzzjNF9beVAnzhRdcLq2rUr7dq1s8k5rclxCA0NpVatWlS28XTK0Nmuy1WYOBEaNrwz7iudIrhy5RKrV7/Cgw+alzs29hBXr56mevWmJs1DZ87A2rVw+DBARSCH8uX3M3Vq8wL1gVJSbuDp6YOXlw8ZGakI4Yavb6DJz75y5TRHj/5CZGQT676kjdEpghs3BB06DDG/sxE++UQlhwmhWpd262Y6HHTOnB7cvHmJSZO+pnx5y2uEFYe7XhHcKY1nHMEXX3xR4HVUVBTjx4/nlpGiKLZwoOvPkHv27MmCBQtsonytyXFo0KCBTR3VOkxNMN59dwjPPUeRg6ozoFMEvr6VaNv26bztCxc+Q3p6EoMHf0hycjwffNAXT08f0tOTSUlJYPjwj+jcuaAiSE5WeQB//61e+/lB377w4IMeBAUVjlhcvHgQhw5tpGHDLvz998906TLOaAMdHe3aDaR69aZFFqizN/mKwPpjDxxQSsDTUxXRe+AB8/vHxR0lPj4WVbHfvtz1isAWpRLuZhYsWGAXB7puxqzj1q1bNvU9FLfUhq0wNZHQaHJZvlx9T2dXBv7+6q+bW3miot7L237kyBaSk68zfLgyw9y6dbnAcWXKRBZ4ffYszJunsmD9/OCRR5TNOzgYMjJuM3fuQBIS/uWddw7mlXcBgaenN2XKVMfXN7DIJLXw8MqEh9vRSG4hOkVw8yYcOLCetLSbNG/e2+xqBlTC3PLl6vmAAUUrAYBp07aRlpbokO991yeUGS7hwbr+uXcTUkoyMjLw9PTEQy9Ewx51ee6UXtDFxdT30xERUY0FC2IdJ1AxkBKGDVO26uXL8yNiLlw4zNWrZ2jR4glyc7NJTo7nwIHvOXJkC+3aRdG6tWpPkpOjEsG2bVPnqllTZb/ql4SQUjJqVDi3b99i0aK4AjN63dgj7JEqa0dGj1YDe5kybYmP38v775+kQgXzDShWrICtW6FePVUrqDjJ0fbsWXzXO4vvpMYz9qZ9+/b4+fmxd+9eQJky9u3bR7t27Wzej8FZTHIajYZ69erlOZJtRXR0ND4+pmsv3rjh/KZHIfIrZ546dY233+7CiBEhBASE06pVX9zc3PD09CY8vDJdujzPSy99l6cEpFT27q1b1aDWo4fqGKavBNati2bGjHY89NBg5s49RkhIeYPPFxYrgd27V7Np03xu3LhY9M52RlfEtnbtp2jXLgovL/MF+C5cUMrSzQ1GjDCvBHbv/oI33+xIaqpja1jf9aYhKH0zgrPg6+uLj48PWdp2VMeOHaNVq1Y0adKEgwcP2vSznMUk5+bmRmxsLJmZmVSrVo24uDibrHp0xw4ZMoRcI4VlwsPvDNNjuXJqoFKVRbcAqkS1MVREVhZSSjZt8uHXX1Wky+uvqwJxhly5cpLTp/fyyCPPlrj+0pYtizh5cjeRkU3yOq3ZEm9vtSLy9c0vNy2EivLRaFSi3e3byiQUHg7nz0PLlpOwpANrTIxSnI8+SpEhoJ98Mpa0tCQOHvyRCxcOERxcjl69XrHNlzTDPaEIXCg2b95cYAYmhKB58+Z5padtiS2ql9qKN998kxkzZnDxoppNlrQaqWFeSkpKSp5yBfDy8qN//zsjSVG3IvD1bUp09Ew0Gk0Be316egpffDGF3NxsqlZtyKefTqRJk/kcOjQeIVQ4qDElAPDkk2/QqdMYypZVjuXc3Bw2bpyHr28gmzbNp0uXcTRo8AjLlo0kIqIqY8d+xq+/ruD8+YOMGLG4wLnatBlAtWpNiIioZpPvLYQq5BYerkpdWxK6mZ6uFIFu1WOJw/jyZVUywttbOc+Lolmzxzl79g/8/ILZsOEDwsOruBSBC9tiuAxv1qwZf/75p10+y5bVS0vKokWLTHZbs1YeQ5/TjRs38PT0JDw8nJs3b1KmTFX69YsuFUexm5tyAPv6qogg3czW3b2gOUIIVR3z4sV8RdC8+ctUMLIQkFLD1q1L9LZU4p9/hiGlGthatCh8jI6yZasXKEWxaNEz7N37FfXrP0xc3FGystLQaHI4cWInFSvW5ebNOD79dAJZWek88ECnvMqkAI8+Oq6YV6Ugnp5QoYKqZ+RpZX8bXU6izmEcH5/L7duq8Jyp0ty//qr+tm2b74Mxx9ixnwKqLEdU1Ht4ejqm9YtLEbiwG85ikrOlv8JY2Gh2djYBAQEkJCQ4vPpoUJCKzgkKUgONNX5XHx/yYvuvmijo6e3tz/Dhi/nkk7EIIWjR4iD79gXQqBH06WP8GFO4uXlQqVJ9evSYTFTUXEJCyuPvH8r06b9y7tx+vv56Bq1bP0WLFk/QtGkP605e5GerqqoVKuQP6Naii6/QKYI//viDTZva8cIL3xRQWjpycmDnTvW8Y0fLPiMx8SpxcUcJDCxDjx4vF0/QYnDXO4td5LNs2TI6d+7M119/XdqiOJSQkBCj263xV+iyiE1FCjnKCS6EMk3UrAnNmkH9+lCpkipTYG3wjbt7/org/Pkk5s59nBs34gz28aBz5+dYvVqyeHEuf/2lSoMOGlR05MumTQv4/vvZJCerespjxnzC3LlHadKkGzVqNCMsrBLe3n7Ur/8wGRm32bHjf4SFVaJ588cLmKc0Gg0XLvxNQkLxrnFICDRurOzzJak04uamrrHOWZyTUxZf3yCTQQgHDqj8isqVoZaF+WD7939PdHQnNm+eX3xBi4FLEdxDnD17lq1bt3JWW+XqlVdeoWLFiqxcubJ0BbMz5Y00lbXGX6FfpsQU9naCBwVBjRpq8K9Tp3imDUPc3SE0FNzds8jJCebAgR1myzxv3izIzhY0a6aUT1Fs3PgBX375KunpqhOah4dpQ3zLln0YOXIpzZo9DqjM48WLh5CQ8C9paYlMndqIV15paNX3E0LVNapXz3blGzw88lcE7u61+OSTJFq1Mm7836qKtdKxo2VKOjc3hxUrxgDg6xvEsWM7uHbtrC3ELhKXaegeYvjw4XTq1Ik6dVTM85UrV7hy5UopS2V/Zs2axdq1a/OK7lWrVs0qf4Wpkt067OUE9/ZWg06ZMsrub2vc3dUA5eNzndu3K1O37lCjiVFHjmwlKSmNTZu6AR64uc0FijZbdOkyjqSkawQGRuRtO3/+IN999zb16j3EY4+p8iMbNnxIWloSvXu/lteYfuPGD9m16zMyM1MZOnQhlSvfX2TSlj5eXlC3bn7SnK3w8FDK09cXEhNVxFU1I/7rK1fgn3+UHO3bF37fGOnpKYBSAlWrNuLNNx/moYcGMXbsZzb8BsZxKYJ7iP379xdw3s6YMYO3337bbqVtnYUnn3yS++67j6++Us3SrXVamzP7CCEYMmSIzXwhbm5qoClbVtn+7YnO5l2zZgh//w3t279ldL9Fi54hKelpoBewi4SE1ViiCLp3f7HQtl9+Wc6+fd9w+fKJPEXw7bdvcPt2Il27TsgrdBcWVpkOHYbxxBOvExpagffe+8fi7+Xrq1YB3rZprVwAnfO9fXvYvFk99BLo89CtBix1EgP4+QWzePFlMjNvc+nScerVe4hKlRzT+9plGrpHMKzCeuHCBcaNG8eOHTvuekUAqsH9Qw89BMCSJUuK2Lsg5sw+Uko2bNhQItlADV7VqyvTT+3a9lcCkG8vj4xUI1VsrPERq3btDsALAPTt68+IEUuL/ZlPPfUWnTuP5YUXvsnb9uij4wkKKsuxY7/mbevU6VnGjPmEW7cus379+8THF92KFJT9vkED+ygByL9mjz6q/m7fnsnGjQUrt6alqeY7oFpuWoqbmxuhoRUoX74WjRp1ZcaMnTz++FQbSG3BZzvkU1yUOuaqsN7tnDt3jmPHjvHGG28wceJEq2fv0dHR+JqxzRTXUezurqJYGjVSj3LlSubMtBbdikBXFHb7dmXuMKRZsxigKuHhqfTp05SaNY1WKShATk42Z8/+yeXLJwtsDwwMZ/jwRVSsmN+oqGPHkSQnX+d//3u+0HnWr/8/Pv/8JU6f3lvkZ1arppyy9ryGumtWoQKUL38GKb3Zu7dggtt336nks3r1lFPfGnJyshg2LJChQ/1tmglfFC5FcI9garC6cOECt2/fdrA0jmXFihV07dqVPXv28OGHHzJmzBirjo+KimLGjBkm37fWUeznpwaIpk3V4GUP+78l6AbMqlWheXOVPbt+fcF9srNh3To1+vXrF2BxjZyUlARef70ls2Z1KHJfIQQdOgyjRYvCIZhNm/YkICCMBQue5quvXjd6vKencqAby4OwNfpKpn9/f4SQnD7dnj9Uy2euXYONG9VzExXeTXLhwmFWrhxPRkYqUmrIyEi1jdAW4FIE9wjmBqv69evfcU1VrKFevXpUrFiRlJSUQolllvLKK6/w+eefF2rmY42jWAioUkVVnixTxrGzf2Pot4Z84gn1d8uW/N65utfXr0OlSpJWrTLZvHkhGzZ8WOS5pdRQo0Zzqla1JNJH0LXrBAYMKNytrGPH4fTp818A0tKSCr1foYIKDdWvcWRP9K9Z69YVGDhQhQMtWADvvAPTpqn8gYcesn41cOXKKbZtW8YDD3SmffshPP98Zfbs+dKG0pvG5Sy+RzBW8kHHv//+a9MS0c7GoEGDWLVqFe+++y7VqlWjZcuWNGrUqEAFVksoSba0r6+y/ZtoClcq6CuiGjXU4LVrF8yeDWPHQmoqfPutev/SpZ6sXh3Jzz8vws3NnW7dJpk9d1hYJaKjLcta//jj0Rw6tJHJk3+iadPuhd7v2HEkTZv2wNMzf+nk7a1kdoQvRR/DW6Z7d7h1CzZtyu/FUK+eajpjLdWrN2X48I+IiKjK9u2fkJ6eXGR5blvhUgT3CPqDmLF4+Lu9a1vVqlWpU6cOY8eOBSAuLo5KlgTDa1E1eNyKlS3t4WG/KJaSYDiojRqlaukcPQpvF5ic/wSsZ+tWd7p0eR5PT5+862ELypWrRdWqDU2WacjKSufWrcvUrt0GUAlaFSsWr5RzSdG/Zjk52WzdugQPj0ssXDibQ4eUXHXrmj7eHOXK1cxr+NOwYRfS01X5CkdgV0UghOgKzAPcgY+llLMN3n8RGAnkAPHAcCmlZeEBLqwmKiqK7t27ExYWZtQRdbd2bYuJiWHr1q38+++/+Pj4ULZs2QJF4swdZ6g4q1SpwjvvvGOVMqhd2/mUAChTlZubqq4Jytb+4otqFXD0qGpq3707VK9emT17XqBixXo88oiRWMkSMnSo+SzaadOak5BwgaVLT9C2bV2LwzHtgf4qyt3dg9WrXyErK51evabSsaPxDHZr+fnnxfz113oee2wiDRt2sck5i8JuikAI4Q4sAjoDccCfQogfpJTH9Hb7C2gupUwTQjwHzAH620smFzB16lST0Qh3Y9e2mJgYRowYQWZmJgAZGRkkJCSwZ88eqlevbvY4Y6a0ixcvWmVGc0Q+QEnw8AB9nejnZ8zJ2ZiaNRtbdd79+79nxYoxtGzZl2HDFpZIxuDgUBISLuDjc4GAgGJOt22E/opACEHPnq/g7e1nk+Y6sbGHuHXrMocPb+LQoQ00atTVYYrAnourlsAZKeU5KWUW8CXwuP4OUspfpZS6/7TfgdLvRXeX06BBA6pUKVzPvbRKRNubadOm5SkBHZaEzZrLJrY07NbTU0XkODPWOqxv3rzM5csnyc7ONLvf7du3SEy8WqLIlzJllCN4/vz/8fzz02jZ8qFin8tWGF6vJ5+cQc+ek/NKc1y6dKLYTWW2bFnMnDndCQ2tSEhIBfbt+4aUFFXrOiQkvy6UPbCnIqgE6LcTitNuM8UIYKMd5XEBjBs3jn///ZchQ4bg6+t713dtK27l0ZK+DypCyEp/tMOxRL5vvpnFCy/UZteuz4mOfoSXXqpXZA2cNm0GsGjRJQYOnGO1TMHB0LChirrx8YH69Rvz8stv4eNTSnG2ehR1vebM6caoUWFcunTC6nNXrnw/jRp1pWXLvuTkZHH8+A5CQjQ0bKh8TPZcWTrFbSqEeAZoDhgNOhZCjAZGw91pvnAk9uhP7MyY6pRmqiJpUcfpv28ON7f84mTOjCUrgv37v+Pq1TMcOPADZctWR6PJLTLZycvLh7CwilbJUqaMcraWVl6FJRgqgoyMVOLijiGEoHr1pvj7h+HtfY2//lrPF74F3KAAABdBSURBVF9MZvLkHy0+92OPTeSxxybi4QHTpq1AiEQaNw4pcXFBS7CnIrgE6NsgKmu3FUAI0QmYBnSQUhpdb0oplwHLQDWvt72o9waGdu+Sduq6EzAVNtuhg/lEp+joaEaOHElGRkah9ywxo4WHl36egCVYsiKYPPlHdu78jE6dxuTVArIVQUGqtlJYmHM61A0x/E2PHdvBe+/14IEHOvPaaz/z9tv7SU9PYcKESFJTbxIbe4jIyHz/ysWL//Dnn+t4/PFXcXcvePGDg5UyzM29xunT1wkICMLTEVoA+yqCP4HaQojqKAUwABiov4MQogmwFOgqpXRgO497E3NlJu5WRWAY+1+pUiVefvllRo0aVeRxGo2GqVOncvnyZdzd3cnNzbW4cmnZsjb7CnbFEmUVFlaJ3r1fteq8u3Z9zsmTu2jbdiD16xdUuoGBatALD3fu2b8pPDxU0hhAhQq1iYxsQsWK9fLe9/UNZODAOQQGlqFy5fsLHDtlygMABASE06WLCmUOC1MrIU/PTLy8vDh8+AKvvTaaBx5oRo8ejomdsZsikFLmCCHGAZtR4aOfSCmPCiFmAfullD8A7wEBwNdar/u/Uspe9pLpXseWnbruJIzF/ltiIhs0aBCDBg2y+vMCAtRgdydgLx/G8eM7+PXXj6levRn163cgICB/8HempLri4O6urwjq8M47BwFVgFAXPdSx4wijxw4fvphff11BlSoNCiUZPvRQPa5cuchXX+2kX79hVK9ex+7fRYdwZGEjW9C8eXO5f//+0hbjjsRUh61q1aoRGxvreIFKCWOhoUIIpJRW9yowZPt2VTzuTpnpXr4M1swDYmKmsH//d0RFzaV5c9NzthMndnH16lFatWpPy5b1bd4XoDQ5ckQVlTNkyZJhnDz5G0OHLqRRo0fztms0uYUyhMuUUU1z9FdkrVtX4tq1yxw4EE9YWASG+Pur44qLEOKAlNJoxUBXraF7iOjo6BLVyrkbWLBgAYMGDSpkItNNiC5cuMCgQYMQQhAaGkqPHj04f/68xeevWvXOUQJg/YogJSWeq1dPk5KSYHKfoCDo3fshpk4dQ8eOd5cSAOPXLC0tiR07VnL16hm8vdUXzsxM48svX+P111uSm5uTt2/Nmupx+3Yi27dvZMeOTQD8/vslTp7MJDTU8VEGThE15MIxlKRWzt1ATEwMU6ZMKTLiRfd+YmIi69evp23btrz22msWfYa/PxSzrl2pYK1Du1+/WfTqNZWQkMKlPiMiVMjsneD0LQmGiuDGjYu8/HJ9vL39mD59e55fQAg39u79iuvXz3H06C/s2/ctwcHu9O3blwsXvPn2289YvXoZdercT4cOXQHwslVPTStxmYZc3DOYaz5vjipVqljsR7l27c5SBElJcPx4yc4RFKR6GOvi3E+e/Idff11PnToNaNWqA/7+pVgTwg5cuKBaUerz+uut8Pb249lnP6Fs2fyM9WPHtuPp6UP16k0ZOTKEzEx1cwQGBpGSkgxA375DmDt3ZZGfa0/TkEsRuLhncHNzK1azDyEEGl1BniK40xRBaqrqrWsNUko2bpxHy5aP06ZN9UL5EhMnDuSHH1bTtGkb1qzZhfudEEdrBfHxcNYgny4j4zY+PqZtYD4+OWRk7OHEicN8+eUyAgODqV37fm7cuM6SJd9y5UocU6YMp3r1Orz55iKj57CnInCZhlzcMxSVJGYKNzc3YmJi7koTmrU+guPHd7JmzXROnNjJTz9Fs2/fFfbs2cnMmeOZP/9L6tV7gOjopVSuHMn48dPvOiUAxqOezCkBNze47z4PvL3b07p1e4YOHV9on5s349m9eyu3bpn2vdgTl7PYxT2DMWe5JeTm5jJ69Oi7snmPl5eqQmop588f4MSJnQA8/fRoPDw8iI09w+nTx1iy5F0AAgICmTz5bacoCWEPrA0GqFjRtN9ESsmtWzcIDg5l5cpNTJ/+QckFLAYuReDiniEqKoply5ZRrVo1q4+9W/s7u7lZl/PQoMFDTJ48hy+++IXJk1W0WatW7Rkz5hXGj3+d7OxsO0nqPLi5Wa4MvL2VIjAkLu4CV67EMW/eGzRtGsE333xKhw6P0rr1wzaV1VJcisDFPUVUVBSxsbFG204WVUr4bk28CwqyfN+uXZszduxk2rTpmLetZs16vPLKbH74YTUtWpRj7dqVthfSybB0YRkZWbiBzurVy3nooUjatq3Cvn078fcPIDu76P4Y9sSlCFzck+ivDnQVWFetWpWXVGaMu7XgoaWKoGpV8/ueOPE3SUm3KFPGjvWSnQRLVgTh4aqOUuFj87XICy/MYsuW4xw69AcbNqy1oYTW4XIWu7hnMdV20lihurs58S4gQPkJzAVU6erhmGPp0nWcPXuCypVNN/y5WygqSc7LS60GjNG58+McOBCflzi2cGE0e/b8QmhoBN26PWlbQS3EpQhcuDDgXku80/kJkpONvx8YCLVqWXaumjXrFb3TXYA505C7u+ofYKpwqL9/QIHciqFDJxAWFkH9+tZ1gbMlrjwCFy5syJ2WR6AjMVHVHUpJKbgyCAuDGjWcv8FOaaC7ZunpkJurFEBwMFSoUPSKoTi48ghcuHBhV0JC1ENK1bReSmXecCkA0+iu2d2A62d24cJFHkLcWUXzXNgGV9SQCxcuXNzjuBSBCxcuXNzjuExDLlzcYQihbPeenurh4aEcle7uBZOXpASNJv+Rm6seGo3qsJWVpZ7faxi7dm5uhRO/DK9bVtadGQhgCS5F4MKFkyME+Pioh7e3elhTH8gU8fHGO23dbbi7q3BP3TUsbh287Gy4dMm2sjkLLkXgwoUTonPa+vmph+Fs1RbchYVBC+Dnp3IgbOX8vpuvl0sRuHDhRHh4qMErIMD+A8/dOLAJoeLtg4NNJ3QVFze3ojOw71TuuIQyIUQ8YH1R+aKJAEqnGLh5XHJZh7PKBc4rm0su63BWucC8bNWklEZT0u44RWAvhBD7TWXdlSYuuazDWeUC55XNJZd1OKtcUHzZXOGjLly4cHGP41IELly4cHGP41IE+SwrbQFM4JLLOpxVLnBe2VxyWYezygXFlM3lI3DhwoWLexzXisCFCxcu7nHuGUUghChX2jIYQwhhRetwxyGECC5tGUwhhDDSALD0EUKEl7YMxnDdY9Zzr12zu14RCCEChBAfAhuFEEuFEH1KWyYAIYS/EGIR8I0QYqAQwin6+2mv1/vAt0KISUKI0mubZIAQwk97zTYJIcYLIZpot5fqfay9Zh8A64UQbwkhOhZ5kANw3WPWc69es7taEQghKgGrAAF0A3YAc0pVqHxmAUHAW0ATYHbpigPam+tnIAuYgUpOGVuqQhXkRSAcGAL4AEsBpJSlVjpNCFEbWAfkAsOBeOC10pLHANc9Zj335DW7qxUBkAF8LKWcKKW8CqwBDgkhGpaGMEIID+3fACAQeFtKuROIBtyEEK+Xhlx6JAEfSSmnSil/A3YBudpZkg3KnFmPEMJH+9cD8AK+kFKekFK+B8RrZ+KluSq4DSyTUr4spTwGbACuCCEql4YwrnvMelzX7C5TBEKIukKIJUIIXwAp5Q1gu94uVYAawEkHy1VPCPE/YJYQopqUMhUIBQZq5UwE3gWeFEKUd6BctYUQU3SvpZTnUbNbHWlAHSnlbeng8DIhRB0hRAywQAjRXEqZAwQAbfR2GwMMEkJUdtSqQHuP5a0qpZSXgY16u/gB9aSUcY6QR08u1z1mvWyua6blrlEEQogHUWag0SgTAkIIIaXUL7TrBcRKKTMdKFc48D/gH8AdeFsI0Ql4FXhKCKGr/fE3Sml1d5BcA4FfgMlCiNHabe7afwYdNYCjjpDHQDZflNnnMOq6PC+EGIH6pxwjhIgAkFJeBD4HRjlIru7At8DLQoip2m0eBtcsDMdPNFz3mPWyua6ZHneNIgBuoGy0dYBhWg1vqC2bAGcBhBCjHGQiqgekSSn/D3WTbQT6o26+b4EPAKSUWSg7c7wDZAKIQ9nae6EGVz8pZa5Q6O6LGsBBACHE40KIag6SrSZwW0o5R0q5APgYeALwBT6iYNLMKe13wQGmhWtAFOoee0UIESClzBFCuOl9dn20/6RaZ2MdO8sErnusOLiumR53jSKQUh4HzkgpzwBbUE4fQ9vxI0C4EOIb1PIvwwGiHQS8hRDNtOaL3cBF1MA2E2gthBgjhHgUaA84xMShtYHuklLuBY5oZQFw0zOzPABUEUL8ADwD5DhItn+ASCFEe+2mv4FtwBRgGhAmhJghhHgKGAmka4+zq2lBSrkfOKG9xzYBS7RvCb3PfhAoI4RYh1Ia2faUSYvrHrMe1zUz+OA76oGKGgky8Z4uUzoQOAM8YvD+RtRs7Uk7yBUKeBqRJQgVRfKW3nuPAx9qn7cDXgB+B6IcJZfBPg20N90DetvKoMrZ7gH62+m39DKyzU37dzzwud72xsAKVMREHWAwKpLCHteskFwmftdEoIXee94opXUAeMoOcrmb2F7a95hRuZzkHgsyeO0s/5dGx7DSumY2v/D2fGh/uLPAJ8AUE/u4a/9OAn7SPn8aFUL6sJ3kmgH8izJZTDDyfiftINZD+7oOsB/wsfP1MiuXwb6zgBXa5y21f4faUbZ3UWae6trXwuD9WsA3wBDt63BgM1DeztfMrFwG99h04Fft867av73tJNcc7f0fauL90rrHzMpVyvfYdO01mI1WMaOntErxmhmTy600r5ndvqwdLl4X7UDgiZoVbkMtvb0M9hN6z2+hQq9W2OvHRc0ctqJmGI2B00A7g32CUDPYg6jIpSdRUQARdrxeRcplsL8naqaRCrxp6sa0gVwewEsoh+rHwPAifvOzQFPgKeBXoKoTyKV/j+UAKcA89FZeNpTLTzsYXAC+Av5jYj+H3mOWylVK91h54EvgM5QZZSCwFwjXvq9bdTr6mpmVq1SvmT1OasMLF6L3/ElggW5AB+YC+9BqSYPjgoH3UMt0k4NfCeSK0HveClirJ9ck4FOgkpHjpqMim44AbZxBLtRKqQzwA/An8KCdfkt92SJRynww8H9Ac50sRo57DpiPMrfY+7e0Rq4IYDnwl53kCtL+9QAaAv6oFd4bQBUzx9n7HrNaLgfeYzrZgoCBetvLoiKEGpXyNbNYLkdds7zPs+fJS3DhwoGFKBvwBKAqymGzFOVR9wI+BNYDI3QXTu94N6ChHeQK08q1ExVpUF/7z7AUqKX32T/pfnBUFIK+bH5OIpeb3vFeaE0bDpCtkd57lVGmmBcBX/3f0eCaFWmDdpRcevt4YB8FEIpSMBtRq6CKeu/V0w5YfTBYfTjgHiuWXA66x/Rl6w+U0W7XzfwjULP+CIPjHHnNLJbLEdfM8OF0UUNCiNaoC5eASvOugrJv70T903bW/v0XZfIZBAUjRqSUGinl3zaWqy3wPZAMjAPKoVYpR1GKq6021EsDrEYpMKSUuQaypTmJXBrt8UJKmSWl3GRLuUzIVhbop3tfqqSrfaiZ+EPabVL/r/Z5rrPIpbdPjpRyty3l0jIbFaEyB2iNXkkUKeUJ1MroYaC2gTx2u8dKIhfY9x4zIlsr8kM/dVE2EcAlKWWBXr4OvmYWywUOuWYFcDpFgIrEeF9KOVM7+P8G+GqTKmKAZ4HHpZTvo2oHnRNCeDsghjwOtfp4TatkPFChhLmomXdPQNcrdC0QKxxTXbFEchkOcHaWzRNt/LMe21BKvYEQYoIQor8d5XFquYSqeOkJREspf0VNhIKFEBP1dotB/cb3CyGGacMbnVoue95jFsoWCVzR7t9TCNHOXvLYSi47/18WorSrNhYavLWzix/13stGRXDoZoXpUsprQlWeXIXSqJm2vHAm5PpXSnlKCBEqhFiGSvjoJoRYgMo83AKME6ouyQYgWUqZZCuZnFkuK2XrKYRYJIQI0u6TiHK2TkWtVm7dC3IZQ0qZAlQD+mpf30T5woboyRUPXEJFgk1FFSK7J+WyVDagA+AjhFgBTMYBuR3OKpdJHGF/MvbAjI3TYPtYYLbBtvuBY8AkR8uF0vIdtM/9UKGss7SvG6J+7HH3ilzFlG058J72dVVU5MlL94pcJmTVhaQ+iDLr+Wtf+6DCWZ/Wvm6sleuFe1kuC2WL0r7+ARV9NuZelsuszKXyocouuwMVftZTb7ub4XPtAPaE9nkftHHkgHdpyGXkmOdQ2ryQk/Nul6uEsr2s99qZfkt7yzUFeMbwN0GtznW/1SpUtUndewuBzv/f3tmEWFWGcfz3N01CxY2FRpEYmiGZi6ByEWJoDEYl6aYoapFgH6uEqEVtgowkCExqVwpFUYQFkova9EERlQpBm7BWokaGFmo0Pi2e9+ZBnBl17j3zzpz/Dy5zvu69vzNwz3PO+/E8ZXk2AxgKXavXON3WluX1vYtxF7wu6Vxa/bIcqbET+ARYST5yf0CZvNM4bnljeQ/wDNmB/A5wVQ1eZf02cubh+lr+X2141exWsdcc8qbmKHnnPLexr3kRuZYcZvgr8AiZ7Ox7zpklP9W9+uS2pkte4zqnVr8sh1Ju4my0XAS8BSwr6/PLj/gL4Gry8fw42dY9kBmbl+A1v3i9Xy4c93bNq2a32ryA6Q2vdWV5F7CtLPc8ryFHde0u63cCW8gJR/d3xatmt1q9+nJuA/3wHEWwhcZEE2B2Y3la+QEuLutrgMfP+YxHK/Va1xWvmt0q99pGzjjuNQX02o6vAw5SglPZtoER0qZ0watmt1q9+nqOA/zn3UQOyTsMvDvCMTcCe0bYN2LiL3u151WzW8VeAnaQtRIeJEduPUGjz4EcY/7RCO/v+wS6mr1qdqvVq9+vQQ4f/Z1MDbCUTCm8FrLIQmNI3wJKnm9Jt6oU/e5NprBXFV41u9XqNYccRbM5cu7LNjKh2cbGMc8D10u6XdIySasbXn2dQDcJvGp2q9WrrwwsEETEIeC9iDhGttE+V7YPk1EW4GbgckmvUGbdlWPCXnV41exWsddxznYQQua6/5Gc5T2/HPMP2VfxFZllVV31qtmtVq9+M9AJZRFxsizuBE5J+j+9QbljuwNYDfwRESsjZ+ANHHtNHbdavcgsliskLYgsM3iALIS0AEDSKrLE5ksRsTQiPuu4V81utXr1j7baoIC7gG/L8vLy9x5GyaRor/q8anaryYu8SLwMPNvY9iUlUR1ZjrPvQ6Enq1fNbrV69fPVWoqJiNgLHJN0GtgqaV5EfBxZgHzCsNfUcavJK7LZajcwJGmjpIXkXeRw2f9LRByxV/1utXr1lZYi6jQy6dJvwGMTHf3sNfXcKvYaItN9/MyAUnxMJa+a3Wr16serNwFi4EgaAj6PiNOtfOEFYq+Lp1a3ir1mkH2HbRVmvyBq9YJ63Wr1Gi+tBQJjjDF1UmM9AmOMMS3iQGCMMR3HgcAYYzqOA4ExxnQcBwJjjOk4DgTGjIGkYUn7JP0kab+kpyWN+tuRtFDSA205GjMeHAiMGZuTEbEiIpaR9QyGgBfGeM9CwIHATAo8j8CYMZD0V0TMbqwvAr4D5pGFSXYBs8ruJyPia0nfkLUQDgJvk+mytwKrgJnA6xHxZmsnYcwoOBAYMwbnBoKy7U/gBuAEcCYiTklaTBbIuaVkpNwSEXeX4zeRiclelDSTTFm8MSIOtnoyxpyH6RMtYMwkZwawXdIKMgnZkhGOWwssl7ShrM8FFpNPDMZMKA4ExlwkpWloGDhC9hUcJgvgTCOzUp73bcBTkRlSjakKdxYbcxFIuhJ4A9ge2a46FzgUEWeAh4DLyqEnyDKHPfYCm0vSMiQtkTQLYyrATwTGjM0VkvaRzUD/kp3Dr5Z9O4APJT0MfAr8XbYfAIYl7SfLaL5GjiT6oVROOwrc19YJGDMa7iw2xpiO46YhY4zpOA4ExhjTcRwIjDGm4zgQGGNMx3EgMMaYjuNAYIwxHceBwBhjOo4DgTHGdJz/ANGWx504FBHAAAAAAElFTkSuQmCC\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": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3205f168bc7e4885a376f71332c3bca8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.666202962398529, 'log': {'agg_test_loss': 0.666202962398529, 'agg_test_loss_p_weighted': 0.1102524846792221, 'agg_test_loss_p': 0.666202962398529, 'agg_test_loss_mse': 0.0700908675789833, 'agg_test_score': 0.666202962398529}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.519664</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>0.007260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046874</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.102418</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.512404</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_no_det_mean  anp-rnn_mean  \\\n",
       "agg_test_loss                   0.174443             0.546592      0.519664   \n",
       "agg_test_loss_p                 0.174309             0.508449      0.512404   \n",
       "agg_test_loss_kl                0.000134             0.038142      0.007260   \n",
       "agg_test_loss_mse               0.054350             0.053395      0.046874   \n",
       "agg_test_loss_p_weighted        0.033049             0.095628      0.102418   \n",
       "agg_test_score                  0.174309             0.508449      0.512404   \n",
       "n                               2.000000             2.000000      2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.602573        0.616317   \n",
       "agg_test_loss_p                                  0.602573        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.046267        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114158        0.110414   \n",
       "agg_test_score                                   0.602573        0.609149   \n",
       "n                                                2.000000        2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     0.854500                    1.307930   \n",
       "agg_test_loss_p                   0.854500                    1.238475   \n",
       "agg_test_loss_kl                       NaN                    0.069454   \n",
       "agg_test_loss_mse                 0.067944                    0.054398   \n",
       "agg_test_loss_p_weighted          0.150794                    0.237054   \n",
       "agg_test_score                    0.854500                    1.238475   \n",
       "n                                 2.000000                    2.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss             1.327100         1.333418             1.507506   \n",
       "agg_test_loss_p           1.297524         1.322273             1.507384   \n",
       "agg_test_loss_kl          0.029577         0.011145             0.000121   \n",
       "agg_test_loss_mse         0.049878         0.045584             0.223373   \n",
       "agg_test_loss_p_weighted  0.235458         0.255269             0.269838   \n",
       "agg_test_score            1.297524         1.322273             1.507384   \n",
       "n                         2.000000         2.000000             2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.546630                  2.030935   \n",
       "agg_test_loss_p                      1.546630                  2.030935   \n",
       "agg_test_loss_kl                          NaN                       NaN   \n",
       "agg_test_loss_mse                    0.066195                  0.051643   \n",
       "agg_test_loss_p_weighted             0.294457                  0.359195   \n",
       "agg_test_score                       1.546630                  2.030935   \n",
       "n                                    2.000000                  2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        2.489498  \n",
       "agg_test_loss_p                      2.489498  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.048283  \n",
       "agg_test_loss_p_weighted             0.428947  \n",
       "agg_test_score                       2.489498  \n",
       "n                                    2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'anp-rnn', 'params': {'det_enc_cross_attn_type': 'multihead', 'det_enc_self_attn_type': 'multihead', 'latent_enc_self_attn_type': 'multihead', 'use_deterministic_path': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=anp-rnn, trial=<optuna.trial.FixedTrial object at 0x7f8d6cf8b2b0> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn/version_-1200/_ckpt_epoch_8.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "182d5d071cbd46b4b527e63626c19e80",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': -0.09835882484912872, 'log': {'agg_test_loss': -0.08576830476522446, 'agg_test_loss_p': -0.09835882484912872, 'agg_test_loss_kl': 0.012590534053742886, 'agg_test_loss_mse': 0.04031004011631012, 'agg_test_loss_p_weighted': -0.023358099162578583, 'agg_test_score': -0.09835882484912872}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.333418</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>0.011145</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.045584</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.255269</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.322273</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.174443      0.317853             0.546592   \n",
       "agg_test_loss_p                 0.174309      0.308816             0.508449   \n",
       "agg_test_loss_kl                0.000134      0.009037             0.038142   \n",
       "agg_test_loss_mse               0.054350      0.044686             0.053395   \n",
       "agg_test_loss_p_weighted        0.033049      0.060492             0.095628   \n",
       "agg_test_score                  0.174309      0.308816             0.508449   \n",
       "n                               2.000000      3.000000             2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.602573        0.616317   \n",
       "agg_test_loss_p                                  0.602573        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.046267        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114158        0.110414   \n",
       "agg_test_score                                   0.602573        0.609149   \n",
       "n                                                2.000000        2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     0.854500                    1.307930   \n",
       "agg_test_loss_p                   0.854500                    1.238475   \n",
       "agg_test_loss_kl                       NaN                    0.069454   \n",
       "agg_test_loss_mse                 0.067944                    0.054398   \n",
       "agg_test_loss_p_weighted          0.150794                    0.237054   \n",
       "agg_test_score                    0.854500                    1.238475   \n",
       "n                                 2.000000                    2.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss             1.327100         1.333418             1.507506   \n",
       "agg_test_loss_p           1.297524         1.322273             1.507384   \n",
       "agg_test_loss_kl          0.029577         0.011145             0.000121   \n",
       "agg_test_loss_mse         0.049878         0.045584             0.223373   \n",
       "agg_test_loss_p_weighted  0.235458         0.255269             0.269838   \n",
       "agg_test_score            1.297524         1.322273             1.507384   \n",
       "n                         2.000000         2.000000             2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.546630                  2.030935   \n",
       "agg_test_loss_p                      1.546630                  2.030935   \n",
       "agg_test_loss_kl                          NaN                       NaN   \n",
       "agg_test_loss_mse                    0.066195                  0.051643   \n",
       "agg_test_loss_p_weighted             0.294457                  0.359195   \n",
       "agg_test_score                       1.546630                  2.030935   \n",
       "n                                    2.000000                  2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        2.489498  \n",
       "agg_test_loss_p                      2.489498  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.048283  \n",
       "agg_test_loss_p_weighted             0.428947  \n",
       "agg_test_score                       2.489498  \n",
       "n                                    2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'anp-rnn_pt', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=anp-rnn_pt, trial=<optuna.trial.FixedTrial object at 0x7f8d6e553e10> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_pt/version_-1200/_ckpt_epoch_5.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ffbaa43b6b25460b8d8477fc3a9ed4b0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.7839328050613403, 'log': {'agg_test_loss': 0.8056936860084534, 'agg_test_loss_p': 0.7839328050613403, 'agg_test_loss_kl': 0.021760892122983932, 'agg_test_loss_mse': 0.04468793049454689, 'agg_test_loss_p_weighted': 0.13307008147239685, 'agg_test_score': 0.7839328050613403}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.174443</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000134</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.054350</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.033049</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.174309</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.174443      0.317853             0.546592   \n",
       "agg_test_loss_p                 0.174309      0.308816             0.508449   \n",
       "agg_test_loss_kl                0.000134      0.009037             0.038142   \n",
       "agg_test_loss_mse               0.054350      0.044686             0.053395   \n",
       "agg_test_loss_p_weighted        0.033049      0.060492             0.095628   \n",
       "agg_test_score                  0.174309      0.308816             0.508449   \n",
       "n                               2.000000      3.000000             2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.602573        0.616317   \n",
       "agg_test_loss_p                                  0.602573        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.046267        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114158        0.110414   \n",
       "agg_test_score                                   0.602573        0.609149   \n",
       "n                                                2.000000        2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_pt_mean  \\\n",
       "agg_test_loss                     0.854500         1.157510   \n",
       "agg_test_loss_p                   0.854500         1.142826   \n",
       "agg_test_loss_kl                       NaN         0.014684   \n",
       "agg_test_loss_mse                 0.067944         0.045285   \n",
       "agg_test_loss_p_weighted          0.150794         0.214536   \n",
       "agg_test_score                    0.854500         1.142826   \n",
       "n                                 2.000000         3.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean   np_mean  \\\n",
       "agg_test_loss                               1.307930  1.327100   \n",
       "agg_test_loss_p                             1.238475  1.297524   \n",
       "agg_test_loss_kl                            0.069454  0.029577   \n",
       "agg_test_loss_mse                           0.054398  0.049878   \n",
       "agg_test_loss_p_weighted                    0.237054  0.235458   \n",
       "agg_test_score                              1.238475  1.297524   \n",
       "n                                           2.000000  2.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  PL_Transformer_mean  \\\n",
       "agg_test_loss                        1.507506             1.546630   \n",
       "agg_test_loss_p                      1.507384             1.546630   \n",
       "agg_test_loss_kl                     0.000121                  NaN   \n",
       "agg_test_loss_mse                    0.223373             0.066195   \n",
       "agg_test_loss_p_weighted             0.269838             0.294457   \n",
       "agg_test_score                       1.507384             1.546630   \n",
       "n                                    2.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                             2.030935             2.489498  \n",
       "agg_test_loss_p                           2.030935             2.489498  \n",
       "agg_test_loss_kl                               NaN                  NaN  \n",
       "agg_test_loss_mse                         0.051643             0.048283  \n",
       "agg_test_loss_p_weighted                  0.359195             0.428947  \n",
       "agg_test_score                            2.030935             2.489498  \n",
       "n                                         2.000000             2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'anp-rnn_c', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True, 'batchnorm': False, 'attention_dropout': 0.5, 'dropout': 0.5, 'hidden_dim_power': 5.0, 'latent_dim_power': 8.0, 'learning_rate': 0.001, 'n_decoder_layers': 4, 'n_det_encoder_layers': 1, 'n_latent_encoder_layers': 4, 'num_heads_power': 3.0}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=anp-rnn_c, trial=<optuna.trial.FixedTrial object at 0x7f8deda48e48> params={'learning_rate': 0.001, 'num_heads_power': 3.0, 'hidden_dim_power': 5.0, 'latent_dim_power': 8.0, 'n_latent_encoder_layers': 4, 'n_det_encoder_layers': 1, 'n_decoder_layers': 4, 'dropout': 0.5, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_c/version_-1200/_ckpt_epoch_0.ckpt\n"
     ]
    },
    {
     "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": 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0hcJhUMbiSkRwcDCxsbFFjgcFBXHu3LnyF8gB0BuL27Vrx5EjRwA4e/YsP//8M82aNeORRx6xp3gKRblhyVhssxGBEGKJECJJCBFpplwIIT4XQpwRQhwRQtxlK1mqCnFxcSU6XhWYO3cuoC0j1dO0aVNee+01pQQUCh22nBoKB/pbKB8ANNdtY4AvbShLlaBRo0YlOl4VmDBhAlJKDhw4AMCePXuYM2cOu3btsrNkCoXjYDNFIKXcDly1UOVRYKnU2AvUEELUtZU8VYGwsDC8vLwKHPPy8iIsLMxOEjke//vf/5g0aRKTJ09m37599hZHoXAI7Gksrg/EG+0n6I4pSkloaCiLFi0iMDAQIQQNGjRg0aJFhIaG2ls0u5CTk8MXX3zBV199ZTjWrVs37rvvPnbt2sVLL71kR+kUCsehQjiUCSHGoE0fVelpDmsIDQ3l22+/5eLFiyxevJgHHnjA3iLZjczMTMaPHw9o/gPr1q3jgQceoHHjxowePdoQkVShqOrYc0SQCDQ02m+gO1YEKeUiKWUnKWUnlVqwePSrqmbPnm1nSeyLi4uLYTT0559/Go43b96cbdu2sXDhQnuJplA4FPZUBOuAEbrVQ92AFCnlBTvKU2n44IMPAGjWrJmdJbEvXl5ehIeHs2XLFtavXw/AxYsXOXXqFNevX7ezdAqF42AzPwIhxEqgF1ATuARMB1wBpJQLhLbA+79oK4sygGellMU6CCg/guK5efMm2dnZeHp64urqam9xHIpx48Yxb948Pv/8c15++WV7i6NQlBt28SOQUj4lpawrpXSVUjaQUi6WUi6QUi7QlUsp5UtSyqZSynbWKAGFdXh4eODr64urq2uVDjmRm5vLuXPnOH/+vOFYrVq18PHxYfz48QQHB9tPOIXCgVAhJio4ph70rVu3xsPDgzlz5lTpkBPnz5+ncePG1K9fnzlz5pCbm8v06dM5c+YMAOnp6XaWUKFwDFSIiQqMPrZQRkaG4ZiXl5dh3/izMVUl5ER8fDw9evQweFanpqbi7e1Nfn4+GRkZuLq6FvA4VigqMyofQSVl6tSpRR70GRkZ1KlTh0uXLplUAlB1Qk40bNiQ2NhYJk+eTG5uLs7OzgA4OTnh7e1tZ+kUCsdBTQ1VYMw90JOSkli2bBm1a9c2WV7VfDE+/PBDPv74Yzw9PRk/fjwhISFs3LjR3mIpFA6DUgQVGEuxhYYNG8bcuXPx9PQsUFbVQ04kJCQQFRXFv//9bx5//HEq2tSoQmELlCKowJh6oHt5eVGnTh2GDh3KkCFD6NKli6EsKCioSoWcOH36NO3ataNbt26cOnWK7Oxs5s+fb/i8du1acnNz7S2mQmF3lI2gAhMaGsr27dsJDw8nOzuboKAgwsLCGDZsGPv372fgwIG0b9+ekydPMm/ePAYPHmxvkcuV9PR0IiO1KOgtW7bk5MmTtGjRgsDAQFatWoWTkxNOTupdSKFASlmhto4dO0qFefLz8+Xy5cslID08POSFCxdkw4YNZatWrewtWrmTkZEhjxw5IoODg2Xz5s3lqVOnzNZdvny5DAoKkkIIGRQUJJcvX16OkioUtgc4KM08V4sdEQghnIA7gHpAJhAppUyyrXpSlBYhBE899RQ///wzXl5eeHh4EB8fj4+Pj71FK3c8PT1p164dMTExhmNffPEF586dY+zYsTRt2hQougxX728BVJlpNEXVxqwfgRCiKTAZuB+IApIBDyAELSTEQuBbKWV++YiqofwIbpGdnU1ERAT79u2jd+/ePPHEE0XqSCmJi4vD19cXPz8/O0jpWPTo0YNdu3bx2muv0b59ex5//HHatGmjUnwqKj2W/AgsKYKVaFnDdshClYQQtYGngWtSym/LWF6LKEVwi3PnztG4cWMAGjduTHR0NJmZmaxYsQJfX1+GDBnCgw8+SHJyMmvXrq1yy0ZjYmJYtGgRTZs25fnnnwdg9erVJCQkMHnyZPLy8oiJiaFJkyZmVw8tX75cjQoUlYJSOZRJKZ+yUJYEfFoGsiluAykl9957Lzt27GDIkCEAXL16leeffx5/f3/69u3LX3/9xaVLlwzOVFWJc+fOGSKxfvTRR4SHhxtGTfHx8Vy7dg1PT08aNWpkckQAqCkiRdXAnPHAeAPuQRsBjNBv1rSzxaaMxZa5fPmyfO655yQgAbl+/Xr56KOPyqeeekqeO3fO3uKVKzExMTIsLMxwLzZt2mSy3vLly6WXl5ehXuEtKCiofAVXKGwAFozFxcYaEkIsA5oC/wB5t/SHHF+2Ksk61NSQdXTq1Ino6Gh27drFc889x969e9m1axf33HOPvUUrd86dO0dWVhYNGjTgyJEjZGVl0aVLlwL5nSMiIhg2bJjJ9kII8vPL1RSmUJQ5pbIRGDU+AbSWxVUsJ5QiuEVGRgbu7u6kpKRw8+ZN6tati5bmoSA//fQTKSkp9O/fnzp16thBUschJCSEqKgoDh06RHBwMD4+PoacDd7e3iYjkiqjsaIycLv5CCKBwLIVSVEWTJw4ETc3NwICAqhfvz4ZGRlkZ2eTlJTEjRs3SE1NZfLkyURHRzNy5MgqpwSuXLnC7t27OX36tOFY165d6dmzJ4MGDSIgIIADBw4YyiZNmoSbm1uBPqp6SA5F1cCsIhBC/CKEWIeWYey4EGKzEGKdfis/ERXmyMjIMExZ1K1bl+zsbA4dOkSdOnX417/+xZUrV/joo4/4/PPP7Sypfdi+fTvdu3enRYsWTJw4kf3797Ns2TK2bdtG69atqVGjRoH606dPZ8mSJQbDev369atUSA5F1cWSQ9mccpNCYTURERFMnTqV2NhYwwOrUaNGzJo1y+AnUKtWLfbu3cuAAQPo168fISEhrF27lhYtWtC2bVt7il+u+Pn50a1bN/bu3cvcuXNp1aqVIfbSr7/+arJNaGgo7u7uZGVl8eijj6pw1YoqgaXlo3+WpyCK4insAZuXp9nu4+LiCixzTEpK4qmnnmLVqlW8/fbbREVF8fjjjzNt2rQqpQh69erFnj17+PXXX4mMjCwQgM8U27Zt4+LFi9x7773Ur1+/nKRUKOyPNcbix4APgdqA0G1SSulre/GKUpWNxcHBwWbXu0NBo+axY8e4du0aLVq0YPv27URERDB48OAqP81Rt25d0tLSiI+PLzI19NBDD7Fx40Z++eUXHn74YTtJqFDYhtvNUPYRMFBKeaJsxVKUlOIyixmXt2nThkuXLnH69GnuuuuuKhd51BxpaWmkpaXx3nvvsW/fPt5//3369OkDQM+ePfHx8eHUqVOkpaXRr18/AgIC7CyxQmF7rFk1dKm0SkAI0V8IcUoIcUYI8aaJ8kZCiD+EEH8LIY4IIR4szXmqCsWFiKhduzZbtmyha9euTJ8+nS1bttCjRw+mTZtWThI6FitWrCAgIIBBgwbx559/EhMTY1hRlZiYyO7du7l06ZKh/htvvMGqVav47rvveOqpp4iKirKj9ApF+WFp1dBjummhg0KI1UKIp/THdMctIoRwBuYBA4DWwFNCiNaFqr0NfCel7AA8Ccwv9ZVUAcLCwgo4QRnj4eFBWFgYly5dYv/+/axYsYJFixYB2tr53NxcUlNTy1Ncu5ORkcHVq1f5+eef6dWrF0uXLsXT0xMfHx+mT5/Ozp076devX5F2999/P0OHDlVB+hRVBktTQwONPmcADxjtS+CHYvruApyRUkYDCCFWAY8Cxwv1o7c1VAfOWyFzlUU/v//WW28RFxeHs7MzeXl5hoQ0oaGhXL58mT179rBw4ULCw8OZPHky/fv3x9XVlS5durBv3z47X0X5MXz4cAYNGsSKFStYu3YtDRs2NJS1bl34nQRSU1MRQvD++++rhDWKKoUlRfA/YLOU8kop+64PxBvtJwBdC9WZAWwRQrwMVEMLea2wQGhoKCtXriQuLo4ff/yRgQMHFiivWbMmNWvW5ObNm9SqVcsw7+3k5FTl8vO6u7vj7u7O+PHjGT9+PDk5OQwdOhQPDw+WLl1apH6fPn04ePAg+/fvp3PnznaQWKGwD5YUQUNgjRDCFfgN2ATsL+NQE08B4VLKj4UQdwPLhBBtZaEcB0KIMcAYKH6evKrg5OSEu7s7AJs2bWL//v08+OCDhgdYr1696NWrF6AFFszNzTUZfqIqkZOTw5o1a/Dw8OCZZ55h//799OnTx7Cs1MPDAy8vL4QQpKen4+bmZgg/oVBUZsyOf6WUH0op+wAPAoeB54C/hBArhBAjhBDFxStIRFMmehrojhkzCvhOd749aIlvapqQZZGUspOUslOtWrWKu6ZKz/r168nLyzPMb2/YsIEZM2awb98+du7cycyZM9m2bRvjx4+nZs2aLF++vEoqgV9//ZVnn32WVatWAeDq6srq1asJDw9n/fr1TJkyhR07dhjq79ixg/T0dMLCwvD29uaXX36xl+gKRblS7ESolDJVSvmjlPI/OqPuTKAWUHRsXZADQHMhRGMhhBuaMbhwaIo4oC+AEKIVmiJILuE1VFn0D/cBAwYwbdo0OnXqxLZt25g2bRo//fQTu3btMsTbCQ4OxsnJieDgYCIiIuwsefkQGRlJeHg448aNw8fHh1dffZWhQ4fyxBNP0KdPH9544w06dSq6rNrT09OsUV6hqIwU61AGIISoDwRhNJUkpdxuRbsH0RLYOANLpJRhQoj30OJir9OtIvoK8EYzHL8hpdxiqc+q7FBmDX/88Qdbt24lPT2dzz77jCZNmnDhwgUyMzMNdby8vKpEDJ3IyEgOHDjA/v37WbBgAc888wzffPONvcVSKOzC7Yah/hB4Am21j3E+gkfKVEorcTRFoI/9ExcXR6NGjQyrd2zJqFGjOH/+PAsWLCAoKMhknT179vDcc8+RkJBAWlpakfKqFFo5KyuLrKws8vLyWL9+PT4+PgwaNKhIvccff5wrV66wevVqateubQdJFQrbYUkRWJOd7BTgXly98tocKUOZqcxWXl5ecvny5TY9b7NmzSQgT506JaXUspIdOnRIRkdHF6krhDCZdUsIYVMZHZGYmBgJyEaNGskrV67IyMhImZiYaCivW7euBAocUygqC1jIUGbNYuloQC2dMMHUqVMNAeD0ZGRkMHXqVJueNzw8nA0bNhgCo61Zs4aOHTsye/Zs4uLiOHLkCFevXmXixIlm57qrwuqrY8eOsXbtWk6ePAloc//Dhg1j0KBBLFmyhLZt2/Lxxx8b6q9du5bffvuNVatW0adPH374oThXGYWicmB2+agQ4gu0t8cM4B8hxG9Alr5c2ilVpSNhLvZPcTGBbpfu3bsX2A8MDOTOO++kQYMGzJw5k6+++ooFCxawdu1a0tPT8fT0LGIjqArJVlauXElYWBiPP/44bm5utG3blmXLlgGwdOlSWrVqhfEqtLvvvhuAdevW8ccffxTx0VAoKitmbQRCiJGWGkopv7WJRMXgSDYCc9FA7Tn/PmPGDH744Qfuuusuvv1W+xf5+/uTk5NDamoq9evX58MPP6z0hmLQYg19//331KxZk6+++op+/fqxZYvFtQgAnDp1ioSEBEJCQgp4IysUFZlSGYuFEIOA3VLKJFsKV1IcSREUzg8A5bMiZ968eQghGD16tEmHp4iICEaPHl1gFODk5ER+fj4bN25kwIABNpPNEblw4QK///47derUoWPHjri7u5ucMpszZw5OTk688sorhqQ/CkVloVTGYuB7NAewKOBbNM/etubql9fmSMZiKaVctmyZbNSokRRCyKCgIJsbiqWU0sXFRQIyKyvLZHlQUJBJA7GPj4+MjIy0uXyOyv79+yUgO3XqJJcvXy6DgoIK/N/0hvXc3Fx7i6pQlDlYMBZbylD2uE6LBAP36Lb/CCEaAQeklCpkNJCYmGiwCZTHdJCUkrFjx5KdnW0YDRw6dIhHH32U9u3bs3HjRrM2irS0NNq0aWNzGR2FnJwc7Uvu4mIIIle9enXS09MZNWoUWVmaySs2NpYxY8bw4IMPEhISwt9//82OHTvo2LEj9913nz0vQaEoF6zxLD4H/AX8DfwDJAGethWr4pCcXL6O0EIIPvvsM7788ssCYSMSExO5cOECTz/9tNnImVVhpZAxr776Ku7u7syePZtVq1Zx8ew87SwAACAASURBVOJFrl+/TkZGhkEJ6MnIyCAyMpK5c+fy+++/89prr6kQE4oqg6VVQ28Bd6OFkzgF7AX+C4yRUuaZa1fVmDx5MvXq1cOeMZDatWtHXFwc3t7eDB48mLy8PEMCdj2enp68/PLLXL16FX9/f7vJWp44OTnh4uLCn3/+ydtvvw1ohnxz6T71I6lOnTrxyiuvcO+995abrAqFPbFkLD4JpAO/ALuBfVLKlHKUzSSOZCy2B7m5ucTGxuLp6Um9evWKlF++fJn09HR+//133n33XYPHc4sWLdiyZQuffvopr7zyih0ktw+mDOdCCJMhuevWrcuOHTto2rRpeYqoUJQLlozFlqKPtgT6AQeBXsCPQoj9QoivhBDP2kRSRbFcunSJZs2amQyWBlo+gqCgIJ599lnOnTtHfn4+586do2fPnjRr1gxvb+9ylti+TJ06tYASAM3OUjgaq6enJxcuXKBr18IpMxSKyo9FG4GU8qqUcj3wDjAFWAP0Br4uB9kqBCtXrsTT05MRI0aUy/mklDRu3LjAfP/NmzcZO3YsL774otl2b731FlFRUYwaNao8xHQYzBnOpZT4+PgA2nTR3LlzadmyJc2bNyctLY0zZ85w4cKF8hRVobAf5pYTAY8AHwA7gKu6vx+gpZusZa6drTdHWz766quvGpZn2ousrCwJSBcXF/nOO+/Il156SV64cMFu8jgKs2bNkh4eHiaX0urjCrVt27ZIu6VLl0pAhoaG2kFqhcI2UJrlo8AzwC7gDeCQlDK7zLVQJWDYsGF8+umnJnPglheurq7897//xdPTk1mzZnH27FleffVVu8njKBw+fJibN2/i5uZGdvatr6+XlxfTp08nMzOTOnWK5leqUaMGTZo0KfMFAFu3biUmJoY+ffooO4TCsTCnIfQbMMDEsReKa2erzdFGBI5GRESE/OKLL2RKSkqB4ytXrpQtWrSQ06ZNs5Nk5c/hw4flpk2b5BdffCE9PT0lIOvUqVMuTn+mGDJkiATkypUr7XJ+RdWGUo4I9EwTQmRJKX8HEEK8gWYnWGAb1aSwxKFDhxg+fDidO3c2xBIy5umnnzbZLjU1lVOnTnH+/Hlbi+gwtG/fnvbt2wPw4osvEhkZya+//kpAQECRuqdPn2bAgAG0atWK9evX20SePn364OvrS7NmzWzSv0JRWqwJQ/0IMEsIca8QIgzoimYnUKAlgFmwYAH//PNPuZwvJSWFEydOFDCCRkREEBgYiJOTE40aNTKZinLw4MGcOHGCWbNmlYucjoazszP79+/nzTff5PvvvycvL4/ffvuNzZs3A5pDWXR0NPHx8TaVIzIykqNHj9r0HApFSSl2RCClvCyEeATYChwCHtcNMxTA6tWr+eyzzwBMrk0va7p27UpkZCTu7u5A0cB38fHxjBo1ivz8fIYPH25o5+/vX2UcyfSsW7eOuLg4Bg4cSFBQEO3bt2fSpEl07tyZ3Nxc7r//flxdXcnOzqZVq1ZERUXh7OzMvn37eOaZZ+jUqZMhbHVZcP78efbt21flgv4pHB9LDmWpaCss9LgBudxaIeNre/GK4mgOZWvWrGHo0KFA+SiCwpgLhd2oUSOzHrRVhf79+7N582Y2btxIhw4deOyxx8jLy2Pfvn1IKenbty8eHh5s2LChgF/Bjh07uO++++jRowc7duwoM3kOHjxIfHw8HTp0IDg4uMz6VSis4bZyFjsajqYIQAvm5uLigru7exFHJVvj5ORkUgEJIcjPzzfsnzlzhoULFxIcHMxLL71UniLajfnz53Ps2DFeeuklmjZtiqenJ0IIbt68aTJ8t5709HRiY2Px9vYu0/hMPXv2ZPv27Wzbto2ePXuWWb8KhTWUyrNYF3XUUqdCCNGgmDr9hRCnhBBnhBBvmqkzVAhxXAhxTAixwlJ/joq3tzceHh7logQOHTpkmOcG84HkCh9PTExkzpw5rF692uYyOgpjx45l3rx5tG7d2pCgRkpJkyZNithRTp8+zYQJE1i4cCHVqlWjdevWZR6kz8/Pj9q1a+Ph4VGm/SoUt4255URoXsRrgRFAG6A20AjoA7yPFn+on4X2zsBZoAnatNJhoHWhOs3Ropr66fZrm+tPvzna8tHk5GQZHx8v09PTy+V8ixcvloB85plnpJRSLl++XHp5eRVwlvLy8iqyRDI+Pl5++OGHctWqVeUipyNh6R7l5+fL/Px8+euvv0pA9uvXz2ZyHD16VIaFhcm1a9fa7BwKhTmwsHy0OB+C1kAYsA0tAunfwApgGOBRTNu7gc1G+1OAKYXqfAQ8b6mfwpujKYIRI0YYHi5paWk2P98///wjZ8+eLX/55RfDseXLlxs8ZV1dXe22Tt7RSExMlOfOnZONGjUy6V3s4uIinZyc5NmzZ2VMTIycO3euXLNmjUxKSpJvvPGGnDVrVpnKs2LFCgnIJ554okz7VSisodSK4HY24HHga6P94cB/C9X5SacMdqGFue5fXL+OpgjGjx9veLBcvnzZbnKkpKQY5GjQoIHd5HAkunbtKgFD5jFz2/Hjxwu0i4qKkoBs0qRJmcpz5MgROWXKlCo5KlPYH0uKwBqHMlvigjY91AtoAGwXQrSTUl43riSEGIOWKtPhkqt89tln9OrVi7y8PKpVq2Y3OXx9fYmKiqJ58+YmbRVZWVns378foMrE2Q8MDKRhw4bk5uaaDCDXsGFDoqOjcXEp+DOoVasWH3zwgUnHs9vhnXfeITExkf/85z9l2q9CcduY0xC3u2Hd1NAC4Fmj/d+Azpb6dbQRQXkTExMjd+7cKePj402W5+fnm8xlfP78eUOIhaqGNXaU8+fPy99++02eOHHCZnI0btxYAvLMmTM2O4dCYQ4sjAis8SwuLQeA5kKIxkIIN+BJYF2hOj+hjQYQQtQEQoBoG8pU4VmyZAk9evRg8eLFRcoiIiJo3LgxHh4eBAcHF1gZ4+XlRffu3enWrVt5iusQhIaGsmjRIoKCghBCEBQUxKJFiwgNDTXU2bp1K3379iUsLMxmcnz33XcsXryY1NRUm51DYR4pISsL0tNvbamp2paWBtevw9WrcOUKJCXBhQvalpAAcXHalpAAFy9qda5f17aUFMiu4CE5i50aEkL8ACwGNkkp84urr0dKmSuEGAdsRltBtERKeUwI8R6aZlqnK3tACHEcyAMmSSmvlOZC7MXYsWP58ssvGT16NHPmzMHX17Z+dg0aNOCee+4hKCiowPGIiAiTCdlBexBWr16dnTt32lQ2RyY0NLTAgx/ggw8+YN++fUydOpXatWvTq1cvWrVqRV5eHrt370ZKWabJ652dnRk1ahR33nknf//9N1JCfr62afY67TMUPGa8r/9cGOPZQP1nff3Cn/XnNNWvlFp7d3fw9AQPD3B2vv1rL2+khJwcyM2FmzchM1Pbv13y82/1acyNG1C3LrjYe7K9lBTrUCaEuB94FuiGtqT0GynlqXKQzSSO5lDWr18/tm7dCsCJEydo2bKlXeQw52EcFBTEuXPnyl8gB+Dhhx8mLi6On3/+mcaNGxcpHzRoED///DM//vgjgwYNMhzPyMigWrVqeHh4FMluZg36h1B2tvbQyM2FvDw4e/Yszz03iKZNWzJv3prburbyxNlZe8A5O2ubk9Otz8abEAUVEtxSLIWP6ZVRXl5BZVhYKerr6O+h/nHl5FR0M26Tm1tQ+ZUHrq5Qp47jKgNLDmXWxBraCmwVQlQHntJ9jge+ApZLKctAz1ZcFi5cyAsvvEC1atXsmgbSXCYuc8erAqdOneLMmTPkmHkVnDRpEiNHjqRLly4Fjru5udG9e/dSOX7ppwpMPYR+/HE1Dz44lP/8540S92tP8vK0zVqEKHr9xkrC1IimpBiPahyFnBw4fx5q1IBq1SrWSMqqEBNCiAA034HhwHkgAugBtJNS9rKlgIWxxYggIiKCqVOnGhK9h4WFFZlGcHSsGRE0aNCAy5cvk5SUZPMpLEfg9OnTZGZm0rJlS0OQPltz5Yo252yK1q2rkZmZwbFjaXh52W+FmaJ8cHXVRgdOTkWn68xN2xUuN/7r6gq1a5denlKFmDBq/CNamkovYKCU8hEp5Wop5ctAhc+Ero/eGRsbi5TSMLduKpSzIzBmzBj8/f2LhIoICwvDy8urwDEvL68Cxs+bN2+SlZVlsCNUdkJCQrjjjjusUgKffPIJXl5eTJ061WbyjB37FuPGvY2rq5vNzqFwHHJyNNtEerpmjE5Lu2Wkzsi4tWVm3tpu3tS2rCxty87Wtpycko3KSoo1q4Y+l1K2llLOllIWWIxtTrtUJKZOnWoI4awnIyPD6gfCvHnzmDhxIpGRkWanIMqSGzducO3atQIB5cC6lTFnz54lIyODmjVr2lzOisChQ4dYsmQJhw8fJisri8zMTPJs+GsbPfp1fvppOb17N7fZORSK0mCNsfgxE4dTgKNSyiSbSGWBsp4asjZ6pznuvPNODh8+DGjhi3v06FFmspkiMzOTzMxMvLy8VPCyYpg5cyYZGRlMmTIFHx+fIuWTJ0/mo48+Yvbs2bz++utkZWXh7OxsWH6bnJxMYmIiNWrUsPqclqaG8vPzadpUmziOjs4v90i1ioqNu7u2Mqm03NbUEDAK+BoI1W1fAZOBXUKI4ZYaVgSsjd5pjvIO6ezp6Ym/v79SAlbw2WefMXv2bLMrfzp37swzzzxD27ZtcXFxMawUAi0UdUZGRoGk97dDXl4eR48eYuHCn9i3r+qkC1VUDKwZEWwBhkspL+n26wBL0VYQbZdStrW5lEaU9YigcIYv0ObWC0+rVAamTZvGyZMnmT17dpXIm/vZZ5+RlpbGhAkTithPiiMlJQVnZ2eqVatWojd3cyOC1NQbtG9fHS+vahw7llYiWRQKsP+IoIFeCehIAhpKKa8CFX7pqH5uXY+bm5tDK4F3332XkSNHcvr06RK3/e233/j+++9JSir3GT278MorrzB16lSrlMCyZct48sknDYnrq1evjre3d5lO37Rr15HWrTuUWX8KRVlhjSLYJoRYL4QYKYQYCfysO1YNuF5M2wpBaGgoN27c4PLly6SmppZICRw6dIgDBw6U2RRCcWzatImlS5dy5UrJHbBnzJjB6tWrCQkJsYFkFY/s7GySk5O5du0af/31F6tXry6VgrUGHx9f1q07SI8e9zNlyhiuXEm2uq2Ukp07t3L16mWbyKZQWDM1JIDH0PwGQAsZvVZa44BgAxzNs7hevXpcuHCBoKAgwsPD6dWrl03Pt2nTJi5dusRDDz1ErVq1bHquis7u3bsRQtC1a1ecnIq+8yxZsoRRo0bx7LPP8vLLL3Py5Ek6dOhAy5YtmTJlCjExMfzf//0fDRs2tPqclozFAH37tiQ6+hRbt56gaVPrvNA3b/6RF154jJCQNmzeHGm1LIrKhS2nhix6FgshnIGtUsreaNnKFIW44447uHDhArGxsSQnW/+WV1oGDBhg83NUFnr16kVOTg5ZWVm4uRVdu+/j40NAQACenp506NCBDh1uTdts3LiRI0eO8Oabb5ZIERTHyy9PIyMjjYAA6z2D9KvXGjdWIzmFbbCoCKSUeUKIfCFEdSllSnkJZQ/0nrnDhw9n6dKlVrfbtGkTx48f5+rVq3aLM2Qte/fu5cyZM9x99900bdrU3uLYnK5du5KTk4OzGV//IUOGMGTIEJNlYWFh3Lhxo8zyX8TFRTN48D0EBzdnzZodJWrbqVN3wsM34een/D8UtsGa8EhpwFEhxP+AdP1BKeV4m0llB/ThGX799dcSt23dunVZi2OWn376idzcXB566CE8PT1L1PbLL79k6dKlhIeHVwlFsGOH9Q/cnTt3EhsbS/fu3QkODubhhx8uU1mysm5y+fIlqlf3K3HbWrUC6dmzf5nKo1AYY42x+AdgGrAdOGS0VSr279/Pm2++ybfffmtvUSzywgsvMGTIEFJSSj5A6969O6GhoQQHB5utExERQXBwME5OTkVyGlRm5s+fz7Bhw9i1a5dN+m/cOIR9+87z9ttz+e239SQnX7S67blzZ3jiiZ5MnDjSJrIpFNZEH/1WCOEJNLJn+Glb07lzZzp37lzidoGBgVy6dIn333+fBx98kLvuussG0t1i4MCBXL16tcTr4kGLU6TPUWCKwj4VhXMaVDYiIyMZPXo0ISEhdO/eHSGEIVz1n3/+SUJCAr1796ZevXq3fS4XFxdq167L22+/yP/+9zMLF/7IAw8MKr4hcOjQbvbv387+/dv5+GPHflFRVEysSUwzEJgDuAGNhRB3Au9JKR+xtXCOjpSSS5c0F4tp06YREBBgc0Xw1Vdf2axvS3GXKpoiyMjIoH79+vj4+JgNxZ2dnc3evXvJysri22+/LeAlPnv2bDZv3szGjRvLRBHoadeuE3l5uSWa74+OPglA794PlpkcCoUx1tgIZgBdgG0AUsp/hBBNbCiTXZg4cSI//PADM2bMYORI64fgycnJrFmzhtjYWO68804bSnj75OTkkJGRYQinUJjKlNMgNzeX69evk5uba7ZOixYt2L17N9WrVy9S1qtXL/z9/QkMDCwTeaKjT7No0f/RrFkrFi9eX6K2nTr1YNiwF+nZU60YU9gGa/wI9kopuwkh/pZSdtAdOyKlbF8uEhbCVn4Exh6kdnKRKBYpJenp6bi5uZlcDlkcM2fOZNq0abz11lsmc/NWpixnUkpDlFZroq2mpqYipaRatWpmVxlZgzk/gt27fyc0tC/duvVi5co/St2/oupi7xATx4QQTwPOQojmQogvgN2lF8cx+fTTTwF4+umn7SyJebKysvDx8Sl1Uhlvb298fHzMPuisyWlQURBC4O/vb3XI7UGDBlG9enW2bdtmE3maNGlBWNhCnntuAlLKEoW7zsrK4quvPuarrz62iWwKhTUjAi9gKvAAINASzr8vpbxpsaGNcCTP4rS0NF5++WVycnKYMmUKNWvWpE6dOjY7340bN6hXrx7u7u6lCjFhDZUhW5u13Lx5k7lz5yKEYNeuXWzfvp0NGzZw7733kp2dzc2bN3F3dy9RdrPiPIvnzHmbefPCmDRpFmPHTrGqz4SEc9x7r2bEjolxzNGqwvbYzbMYQEqZgaYIbJe6qYKSkZFBeHg4oD1A3333Xd555x2bnc/X15e0NNtGrgwNDaVevXqMGDGCevXqVVglcO3aNV555RUCAgL45JNPTNbJzc01BKVLT08vUPbCCy/wzTff8PXXXzNq1Kgyk8tFl9k8O9v6LHEffaQpjHr1ysa5TWEa46T3+gxhcCtDmJOTlnrS3R28vbW/lQVrVg2FAK8Dwcb1pZR9rGjbH/gMcAa+llJ+YKbeYOB7oLOUstxf9/Py8vj9999xdnamY8eOeHt7WzVP7O3tzZIlS1i0aBEpKSn4+/uXg7S256WXXiIhIYGEhASuXr1aIa8rNTWVZcuW0aBBA7OKwNPTkylTpph0zKtWrVqJQ1Bb4sKFBCIj/6JXrwd5+eVpJbJD1KgRQN26DXj33f+WiSygPez0Dz59/qW8PO2zEFrydRPhmSosqanapk8TqSc399Z1ljaDqxBQpw5YcM9xeKyZGjoMLEBzIjNMbEopLTqV6eIUnQb6AQnAAeApKeXxQvV8gA1oy1PHFacIbDE1lJqaWmDe/cyZMw7peXu70zZvv/02c+bMISsri6CgILPtR4wYwbJly1i5ciWPPfZYqQzT9iYtLY21a9fi6enJ0KFDy+285qaG1q1bySuvPM3DDz/JnDkryc3VHry5ubfeQvV5aaXU/uo/68v0n/Pztb9C3PprrK+cnG7V1WOcBN2aQLnOzhAQAH5+mlKw91cgP1+TW78ITJ8Y3pQ+lfJWbuDMTLh2rfQP+ZLQqhWYWIBWZth1agjIlVJ+WYrzdgHOSCmjdUKsAh4Fjheq9z7wITCpFOcoM+6//362bt2Kj4+PQyZ3j4iIYPTo0YZsWyV19oqIiDAogeLaL126tETxlhwRb2/vEi0DHj58OHFxcYSHhxucykpLXt6thOWZmdpDKCWlLnfd9TC+vnfx998l7/PSpbNkZWVQv34rnJ2t+dneHnl5kJSkbaApFze3W5ur663P7u7aX2dnrZ5eKRkrLOPRhV4B5uTcerjrFaN+VKKvk5en3T9z6cCFuHVu4zb24OxZTRmUMPKLQ2DNiGAGWjKaHwHDE1KXmMZSu8eB/lLK53X7w4GuUspxRnXuAqZKKQcLIbYBr9tjRFBabty4wdatW6lRowZ9+hQ7U3Zb3O7SzpK2rypG4xMnTpCens7QoUOJiYnhxIkTtxU88J9/4NSpgm/jxhw//icbNnxMy5b3MnCg9e8+L7wQSErKJebPP4+f3228FtoRUyOVyoazMzRpAv7+BUdpZYG9RwT61yrjb60EbsupTAjhBMwFnrGi7hhgDFifS7g8iIuLY/DgwQA0btyYYcOG8d5779nsXCU5fjvtb3f04QikpKSwZcsW/Pz8uP/++83W69evH4mJifz0009Ur17d8P0KDw8nPDyckSNH8uyzz1p93ps3LT/oUlIu8tdfv+Dubn2IkE8+GUxKyiWcnJwd1sfFGvS2iMpMXh5ERWkjJl9f7eGtHynBre+G8b3QK0dTm75ufj74+NyeIrCENauGSjtOTgSMA7k30B3T4wO0Rct2BhAIrBNCPFJ4VCClXAQsAm1EUEp5yhxvb2/+/e9/s379emJiYmyaj6BRo0Ym3+itVYwlaT98+PAiD5yKFmoiNjaWoUOH0rZtW44ePWq2Xrt27QgMDKRjx440aNCgQPs///yT++67r0zkyc/PRwhBixY9mDjxJwICrM9xkJiohZj44IPD+PuXXbgLhe3IydHsRRUFs+sChBBvGH0eUqhslhV9HwCaCyEaCyHcgCeBdfpCKWWKlLKmlDJYShkM7AWKKIHy4NixY7i7uyOEoGfPnmzZssWqdsHBwfzwww8kJydz9uxZZs6caTMZb9fZKywsrMjqGFPt8/Pzzb51xsbGVphopL6+vgwePJh+/fpZrLdp0yYOHjxYQAmAZjD/448/eO6558pEnl9//Yynn3Ziw4aP6dTpURo3tj4m1aRJ65g9+2/q1HG8BQyKyoGlBWJPGn0u7PlSbHB0KWUuMA7NAe0E8J2U8pgQ4j0hhEMFrMvKyjLkHN6+fTsJCQklal+9enWaNGlCQECALcQDtCmZ9957jxo1aiCEICgoiEWLFln9hq5vr8dceyGExYxcY8aMqRDKIDg4mO+//565c+earWMcctvf35+nn37aEHSvcePG9OrVy2LI7pKQn69ZMJ2cSh6+ok6dpgQH34mbm0eZyKJQFMassbhQbCHDZ1P75YktjMVSSrKysjh69CgZGRm0bNnSKg/h/Px88vLycHFxKbP15pZYs2YNQ4cO5fHHH2fNmjUlbn/lyhVmz55NYGAgr7/+utl6hcNRF6Yixh4qjLlrXLhwocVQ3cWxdy+YuzVSSm7cSObQoXV4evpy993WL2v9/PMniYray6uvrqFp05KHS1dUfPz84F//Kn370sYakmY+m9qv0Agh8PDwoHPnzvTs2dPqMBHbtm3Dzc0Nf39/XnnlFZYsWWJTOZs1a8aECRN46KGHStU+ICCAOXPmWFQCoI0eFi1aZLbc0aKRmkqmk5eXx82bN81GHzUVchswTO/Nnj0bPz+/Mk3QI4Tg2rXzfPXVaH76yfr4TatWvcWePau5fDmWzEwL8SsUilJiyVh8hxDiBlp8IU/dZ3T7aoyKNiJwcXHh+vXrfP755wwePLjM5pRNUTjBui1ITk5m7Nix1KtXj6CgoNsyUJcH5pLpnDx5kpkzZ9KjRw+TKSvNKbOEhAQiIiKYMWOGYbqwLFdN+frWpnfvUQQEWHcPpZSsW6c55H/ySRT+/g2KaaFQlJxi/QgcDVtMDR08eJAPPvgAd3d37rrrLtq3b1+skdGYqKgoNm7cSPPmzXnwQcdNHiKl5PTp02RlZdG+veko4lFRUYSEhNC0aVPeffddnn/+eW7evBVf0MvLq0S2CVtjzj/C19eXGze0dxdTXtSW/CqAUvtsmJsa+uOPJRw48AM9ez5L166DLfZhTH5+PuvXzyE3N4vHHptmdTtF5cOWU0O2d1GsAMTHx7N27VoAVqxYwQsvvFAiRdC8eXNeeeUVW4ln4PLly1y7do2aNWvi51fyJOiAwVkqLy8PJxPBZOrUqcOqVavw8PDg0UcfBXBoxzJzb/Z6JQCm3+jDwsKK2Ag8PDwICwtj+PDhJTqXNSQkRPL33xto3bp3ido5OTnxyCNvFF9RobgN1IgASExMZPfu3cTExHDx4kW6d+9ucBRzJIpLLGMN7dq1QwjBgQMHShRe2VEx92ZvisJv9Mbe01JKhBDk5+fflhe3uRFBQsJxLl06S/36rfD09CU3N6tEvgS7dq0gKmovPXqE0qxZV6vbKSoPakRgY+rXr8+QIUOKr1iIP/74gw8//JAOHTrQt29fqlevTufOtlvR4evrS7Nmzahdu3ap+7DkXGWKy5cvs3//fmrUqME999xT6vPaClNv9uYo/EYfGhpKaGgoL730EvPnzzcEGjTV5+0m6GnQoDUNGrQmNzeb4cPdcXZ2Ydmy7GJXm2VnZxIdfZANG+YSE3OIoKA7lCJQlDmVKNBs+ZOYmMjmzZtZtmwZ/fr1Y9Ik28bNGz9+PFFRUTadhjp//jxLly7ljz+0dIp//fUXDz30ENOnT7fZOW+H0NBQFixYQP369RFCUL9+fbP+HOaM3L///juAYUluaGgob775pqG8pD4blnBxcaNGjUD8/OqTl2cmkpoRV67E8+679xETc4gRIz6lWbNuty2DQlEYNSJACzx24MABmjZtSu3atRFC0KxZs2Lb9enTh40bN5KcnMzSpUvNGmArEkeOHGHkyJE88MAD9O7dm7p169K/f3/uust6T9jyJiAgLCY5KAAAIABJREFUgMRELXrJhAkTCAwMZOTIkQXSQVp6o589ezYuLi40aXIrfNbTTz9NeHg4bdu25eeff75tGSMjf+PixTO0adOHL7+8YHU7JycXWrTogb9/AwYMsL0dSlE1UYoA2LJlC6+++ip33303e/bsoWPHjlhjh6hXrx716mmxX0aMGGFrMcuEAQMGcPz4cbZu3Urz5s2LlAcGBhIaGkq7du0AzaawadOm8hazRGQbBdivUaMGoaGhXLt2jffff5/k5ORijdzp6ekmDeJnz54tMxn/+GMxu3evZOzYZdStW/S+m6NOnSbMmFF0+atCUZYoRQC0aNGC4cOHExwcTFJSUpG4M47CxIkT2bBhA3PmzOHhhx8uVR/nz58nLi6uSGpGPXfeeSfLly+/HTHLnUGDBhkSwuszf40bN45x48YV07L8Iq22bdsXDw9v6tYNKVX75ORzXLgQRa1awSVSJAqFNSgbAdC/f3+WLl1KixYtyM3NZd26dVZ5k/7zzz/MmzePnTt3louc8fHxnDp1yirDqDnWrVvHuXPnaN26tdVtpJTkmMsM4kCUJP2jnqlTpxqUgB59pNWypHfvUYwevYhmzbqwcOEo3nijPbGxh61uv2PHcmbPfoDt28PLVC6FApQiMKD3UI2NjUVKaXgztKQMfv/9d8aNG8fMmTPx9PTkzjvvtKmMn3/+OcePH+dft7GGLCgoiKCgILPpJzMzM7l+/bphuiUpKQlXV1fq169f6nOWJ/n5+Rw+fJhJkyaxYcOGYutbytPQpUsXGjZsWMAnoSxISoomPv4oqanFxyn+66/1jBpVgx9+eI+2bftSu/ZtpQFRKEyiFAFafts333yzyJt2cW+Gd9xxB2PHjuW+++7j5s2bBTxwbUFgYCCtWrWiug0Toy5evBg/Pz8mTJgAaE5WeXl5Dj0iWLx4Mb1790YIgY+PDzt37mTOnDn88MMPxbY1t5KoUaNGxMfHk5CQQFpa2m3LmJKSxNWr58nNzea55+bzwQf/0KxZl2LbZWWlk5GRQufO/2bq1K307j3qtmVRWI+UcOMGxMbChQsFE99XJpSNAHjnnXfMhp625E3at29f+vbtS35+PhMmTMDFxfFvZ3h4OAcPHmTUqFEm4xY5Ozvj6+uLt7c3AD4+PuTk5Dj0tR07doxt27YBmvLWh9v+5ZdfiIiIsDjXb8lnoEuXLri7u1sdhNASn3/+JMeP/8HUqVtp27av1e26dBnM119fK5fotpUdKbUczHFxt9JmpqSAi4u2Hx+v5ZnOytLqXL16K2eyMd7eEBIC+ncIDw+oXRu6dSv79JTlheP+ussRNzc3hBAmE7JYE2DNycmpSNIXWzBnzhySkpIYP358qQ3amzZt4rvvvuPee+81qQhefPFFXnzxRcO+EMKhlQBgCAmyZ88ePv74Y5J0GdeTk5OLNfzqj9s6jIa3tz81agTi5lay74mzswseHjVISYH0dC1lYVqa9hBzcdGStYOWElH/EHJ31+plZ2sPOP1nIbQH27VrWkrN7GztbVe/6CojQ/vs7AzNm8M992iJ4SsyUsLRo7Bzp/b3+vWS9+HpqeUgzs3V2qelwV9/aZsxmZlg49TlNkOFmNBhKj59cQHWrl69SlpaGn5+fvj4+JS5TIVp3749R48e5Z9//uGOO+4oVR8bN24kOjqaBx54gJCQ0q1gcVRq1qzJFRP5Acszf4K5EBPZ2doDOCUF/vnnCDEx0dSs2Q43t6akpWnlqanaQyY/X3sop6ZqD7LcXPskfPfxgbvvhg4doF49qFnzVu7d8iQ9XZuWSU6+NTXj66uFXKheXdvc3LT7lJam3eeTJ7XcwWfPaqMA42tq0uTWddSoobXLyYH69bU+XVy0z3XqaErR0/OWkpUSLl+G48e1v6DJ9eefWt9z52ojBlugQkyUA6V5M/zoo4/48MMPmTx5MtHR0VSrVo1vvvnGZjK+/vrrXLx48bYMt6WJjjpq1CgSExNZvnw5NWvWLPW5bUlERIRJJQClDxa3dOlS9u3bx6hRo0rkUHfjhvagOH1am244f16bZrhFe91mLfn/396Zx0VV7n/8/bBvggoqLgii4lKZppZ6teVnllrXysolRMrUUtPKsluappXZ9WrmlrvlQpqWZVaa3vK6lJm7ueCKJJqmoAiIrN/fH2cGBphhnWEGOO/Xa14zc85zzvnMc+Y832f9fnF1TSIjIxE3N3fq1auDs7NWgDk7a4VTWppWWInktgRcXLTvSmmtBBEtffXq4OWl7TcGWAetwHN312q2O3ZoBm3zZu0F2rH+/lqBVKOGZhhq14bAQO3deLyrq9byyMjQ3p2dtYLaxSW3RZOUpNWu//6bnNZOUpJ27fR0LY3pqyg8PLRWjjlq1IAHH4T27aFBg7J13ygFtWrBffflbhPRjMGxY7BqFQweXPG6iHRDYILR90xx8fX1JSgoCB8fH9auXUvNmjVtqK58Fq3NmDGDdevW8corr+Q43tu6dSsxMTEkJiY6pCFYs2YNI0eOtLi/tPETNm3axKpVq+jYsWOxDMH8+TB3Lhw9WrAG7+ycW4N1cblCWlocderUJjS0Pr6+WkHp46PVKp2ctELV1xfWr3+fb76ZSM+eb9C793hcXNzKpVbeo4dmCHbt0mrVFy/mFtymNeySYJzda7Lgu1i4uUHdupqx8fHJHcA1trASEzUjoJS238cHGjeGli21fvzgYM0I2Qql4Nln4a234OeftXsXHl6xjIFuCIA333yTnTt3MnnyZFxdXVm5ciV33303zz77bKHHjR07lrFjx5Kenk5YWBgeHo4fr+fs2bOcOnWK0NBQsyuLT548yc6dO+nfv3/OtgULFpCVlUVgYGB5Si02M2bM4Nq1axb3l9ZZXEREBB07dqRdO7Ot6QIcOgRHjmg14mbNoEULCAnRuhlWrnyK+PgYRo5cS506oUCtYp2zQ4de1K3bkKCgO0o8vlAWlIJGjbSXkfR0iI/XCuCEBK1r5NIluHxZ+3zrltYyyczUjJmbm/aelaUdazQA3t6awfPz0wr3GjVyt3l6asd5e+cW6kbjaInsbK0l4elpn64rgKAgGDUKZs2C77+HAwe0MZZ69TT9rq6aThHt3dhaMnb9ZWVp27OycrsCjekyMnLHgo4ehdGjra9fHyMAevXqxYYNG1i/fj2JiYkMHDiQ/v378/nnn1v1OmVl69atuLi40KlTp1ItngJthtR7773HxIkTzTqSO3v2LHFxcTRu3LjCrB346KOPeOedd8xO8/T39+eqsTPXxhw6BD/+qBVu+esEr74axqVLp5g+PZp69ZqVix57YeyOyr8tI0Pb7upqH13lwcGDsGhR/q5A63H33bB7d+mOtdsYgVKqOzATcAYWi8iH+faPBgYDmcAVYJCIFM+5vBWZOnUqY8aMoWXLliQkJDBr1iyHdCDXvXt30tPTSU1NLbUhCAsLo1u3boSEhJjdHxoamsf5WkVg9OjR1KlTx+xg/8yZM8tNx513ajVTc4PFr7++nlu3UggICObmzUQuXjyBu7sXQUG3F+vcly6dZvXqsdSqFUJ4+FTrCrcy5rpElKr4M5CKQ+vWWqtg/35tjOjyZW38IyNDa604OeUaQ2dn7buzc+5nFxfts1Lad1dX7eXiorWcuhZ/5nGJsFmLQCnlDJwEugFxwB6gv4gcM0nzALBbRG4qpYYB94tI38LOa6tZQ6Vh/PjxfPvtt0yaNImkpCQyMzN57rnnbHItEeGhhx4iNTWV7du3m40uZis2b97M6dOn6dGjB41M+wocDNNAM9aYBnrx4kWOHDlCYGBgsSsGlmYNmXLgwA9MnfoId97ZnTffLNyh38mTv3Lt2kWcnV2ZPv1xgoNb8+GHB4r5C3QqE7acNWTL0uRu4LSInBWRdGA18JhpAhHZKiLGKtxvgGN6e7NAbGwshw8fJjExkcjISAYNGkR2drZNrqWUYsuWLezcudOmRuCLL75g6tSpxMTE5GybN28eI0aM4MABxyyATp48SVxcHM888wznzp0jOzubc+fOlXktwHfffcfDDz/MrFmzrKRUw9e3NqGh7QgMbMqcOQN44YXanD6d294/d+4ge/Z8A8CmTbP4+OOnuXbtL0aN+oIBA6ZZVUtV5tq1v5gy5WGmT3/c3lLsji27huoD502+xwGFhVZ6HrCLv+PFixcTHx9PZGQkgYGBbN++nT///JMnn3yy0IVikydP5rXXXiMoKIiIiAicnJzIzs4u19p6aTGGZszPkiVL2LJlC61bt86p/Xfv3p26deta7E6yJ9nZ2TRv3hwRITMzs9RdZuZo1KgRDz74YE6c57Lw9deTycrKoFevf9G4cTsmT94DwPTpj3PjxhXi4+No0uQebt68wYQJHfDx8adt23/SpMk9ZGVlEhx8J2FhHcusQyeXmJh9HD682d4yHAKHmDWklBoAtAPus7B/KDAUSj8VsDBmz57N4cOH6d69O4GBgQwaNIgzZ87Qvn17mjWzPLAXFBREUJAWd3bZsmVW12UL1qxZQ0REBL1792bVqlUF9vfp04dWrVrl6QJ64YUXylNiiUhPT6dJkyZ5XFBbi27dutGtWzernGvDhqmkpt6gZ89Xc2b/ZGVl0rfvBwwaNA8/Py386K1bSbRr9wQxMftIT0+lZ89X6dnzVato0MnLb79pEem6dh1qZyX2x5aG4AJgGp27gWFbHpRSDwLjgPtEJC3/fgARWQgsBG2MwNpCBw0axIULF3J8yvTs2ZMrV65YvWApC7GxsTRv3pwmTZqUOO6wKS4uLqSnp1t0kDd48OBSn9seeHh4cPLkSXvLKJLHHx9LWtrNPFNA4+KO8uabrWnUqC0ffKCNe9WsWZ9RozQDHR29gyNHfqZr16H4+NTkt9/WAIouXQbY4ydUOkJD25GSco177420txS7Y0tDsAdoqpRqhGYA+gHPmCZQSrUBFgDdRaSUy1TKTv4YwPfccw/jxo0jLCys0EHHzz77jNOnTxMREUFgYCAZGRnUrFnTJl1DRu+mptG4SkOvXr24deuWRTfU5khOTubatWv4+PhQo0aNMl2/ImKN1kavXv/K+ZyamsTo0WFcv34JV1cPvLzMe5Ndv34KBw9upFatENq27cUnnwzE09NXNwRWonv3kXTvbnkhYlXCZp3ZIpIJvAT8CBwH1ojIUaXUu0qpXoZk/wF8gLVKqYNKqW9tpae4lCQuwerVq5k8eTJnz54lLCyMWrVqceXKFZvoCgsLIyUlhT179pTpPC4uLri7u1v0ZhkdHU10dHQegzNt2jQaNmzIxx9/XKZrVzRiYmLw8PCwuk8mNzdPrl+/hFKKjz46Qe3ajVi16k0Arl79k8xMLe87duwHwPz5z3Lp0ik6dx7AP/7xjMXz6pScvXu/Zd269/nrL8dvVdoSm44RiMgPwA/5tk0w+fygLa9fXI4cOYKTkxNhYWGMGzfOYlyC/K2CZ599ls6dOxMWFkbNmjXJysqy6awhLy8vm5zblJ49exITE8Pp06dp3LgxoC3Kql+/frlcv6Ts37+ffv360aFDB5YvX27Vc3t5eZGWlmYxrGdxyc7O5uzZPTg7u9Ko0V04O7vwyScXcXf35saNv9m6dQkBAcH07/8hkyZ1ISHhAjNmnOLeeweyadNMzp8/gqenLyNGrLDSL9PJzEznxo2rbNv2KXv3fkO9es1KHUa0MuAQg8X2pnPnziQmJpKQkFBoxKr89OvXL+fz8ePHbabPmpw7d44xY8ZQr149s4utGjdujKura55Cf+TIkYX68rEnCQkJnDp1yiZxpmvXrk1KSkqZXYxnZNxi/PgOuLq6s3y5NjZTo0ZdAFxd3Rk48GMCAoLJzEzHxcUNFxc3/P214bUPPthXth+hY5bY2MO8/XZ7AB577K0qbQRANwSAFrz+xo0buLu707BhQ2JjCy5utsVspZJw4MABPvzwQ9q2bcsbb7xR6vPcvHmTL7/8khYtWpjdv2XLllKf2x506tSJ48eP2yRmgrVaYSJC48Z34+KS17fC2rUTOHXqN5544m1atLgXgBkzTpGRkYazc8Hfc/NmIunpt/D1rVUhpig7MqmpN/D1rU3Tph3o1+8Dq51XRLh48QReXn45xr4ioP+bgN27d3P8+PGcyFT5H37j9vwcOnSI3bt3F9l1EBUVRUhICE5OToSEhBQaB9kS58+fZ82aNezYsaPEx5oSFBTE2rVrmT17dpnO4yh4eXnlzKYqT0zvaUBAAAEBATg5OfHEEyHs3Jn3/np4ePP++7uZOHFnzrYvv5zEunXv8ccfW0hNTcqT3tXV3ew1R40KYdiwQG7eLEV0FZ083H77/7FgwWVGjy46nGlJ2LJlHq+/3oLPPnPMFrQldEOQj/DwcBYuXEhwcDBKKYKDgy0Gpxk0aBAdOnQgOjqagQMH0rFjR86cOZMnTUkGnwujbdu2rF69mtdee61Mv69atWo89dRTdC2B05Jt27bRunVrRowYUaZrVzSioqKoVq0aSimCgoJy7ln+exofH098fDwiwqVLsSxaNLSAMcjPwYPa0Fnv3hNwc/Nkx46VXLx4otBjqlWrha9vLTIzHTd+dEUjIyON8+ePEBd3rOjExaBmzfqEhLSpcMZa9z5aSqKionjhhRdISUmhXr16ODs7c/78eQ4cOEDr1q1z0oWEhJjtairPqFnFJTs7m0aNGuHu7s6JEydyZhZt2rSJHj160K1bNzZvdqyVmD///DMbN26ka9eudO/e3WrnLSxi3bhx48zeU1MCAoKZPfucxf379m3g5s1EWrV6iC+/nMh//zsPgEaN7mLIkMU0alQwjKiO9Tl8eDNTpjzM7bd3Zdy4/9pbTqFUVF9DFYKkpCQaNmyYp/AGLfB5q1atGDNmTIFjjIWEsUvo4sWLXLlyhXfeeaeAj39LBUZpo2aVlaysLJYvX86SJUsK7EtLS+PPP/8kNjY2z/TSjh07sm/fPhYtWlSeUovFr7/+yrRp08rcZZYfS7PHIiMjizQCAPHxuff3ypVYhg6txdtv53pYadv2n3TpMgA/v9qEhXUiKOgOwzUSCQq6zUq/QscS06Y9xsSJnUlNTaJeveb4+1t3DPDGjatER+/k8uUzRSd2AKqkITDt323ZsiXnz5/nwoW8i563bdvGH3/8wbRp0wr065srJG7dusVnn32Gt7d3nutYmq9f0sHno0ePsnLlyjI7fhMRIiMjGTJkCMbWoDE/vL29qV+/Ph98kHfwzM/Pj7vuuovg4OAyXdsWdO3alX//+988XJaqkhksGeqsrCyL99QU04IlMzONpKSrpKTkOqm/efMGX331Ltu3L6dLlwFMnXqYJUsSefXVdbi4lN5fc3z8eb77zjEd0505s5f9+7+3twxu3Urhjz+2cOrUb9x22wNMn36cF19cWubzJib+zblzB8nISGPTpplMmtSF7dsrhuuZKjVrKCoqipdffjlPbNu4uDg8PT0ZN25cnnSffPJJzndjvz5oYwjFnWI6btw4zHW9KaVKHDXrhx9+4I033uC1116jTZvSdxu4uLgQGRmJq6sr2dnZrF69Ok8XyIULF5gwYQKBgYFl9t5pa6ztdtoUS7PHALP31BQ3Ny/69s29v3XqNGb+/Mt5jjt48Ae+/FILDHTvvVoIUi8vX4KDLbu7XrhwMH/++QcvvvgpDRq0LLA/IyONCRM6kZAQh79/Qzp27FOozvLmzz8PsXHjTOrUCaV+ffOz1soDDw9v5s69wOnTu/HxsV542b1717N48VA6dx5AmzaP0Ljx3fj51bHa+W1JlWkRGLtzzAU4T01NzbNqdty4caSmpuZJY1xUBpZr835+fnn6/S0ZDBEhIiKiRDOImjdvTnh4OG3bti1W+sL47LPPWLRoEc7OzoUuoDNy/fp1JkyYUKClYEuKmmllrUF4S5ibPVYc/Pz8GTJkIZ07h5OcfA0RwcnJGT+/2lSvnlso7NnzNaC5pC4ucXHHOHPmd7MDkRs3ziQh4QK9e4+nTZtHaNny/hJrNyUjI43Y2ENlOkd+Tpz4hfPn/2DXrjVWPW9p8PGpQevWeceUnJzA3V0LeRkQoAW6DwqCJk3gttu0GMiNG2vhJ839NZycnKlbN4zg4NZ06tSP99/fzUMPVYwJFlVmsNjSoK0pwcHBTJ48mYiICIs1+ezsbKKionj++edJS8v1kWd0Qb1lyxYefPDBYl/Ty8uLyMhIfvjhB5vUbIvCycmp0N8KcOnSJerWrYuvry81atSwuc7CBmqBQgdrrTkIHxUVRWRkJFkliLYeGBjMjBna9adMeZjk5ASGDVtGbOwhmjfvgr+/tvBtx46V7Nv3LZ07h9Ou3WOFnDGX2NhDpKen0qDBbXh6VsvZHhNzgLFj78Lbuwbz5v2Fi4tbsbqvCmPZsleIidnH6NFf4+sbUKZziQhZWRmcPbuPkyd/oUOHPnh4VMPHp/z8VikFvr7g5ydUq6Zywmm6ucGzz3bl2LEDrF+/h5CQxgWOvXTpAoGBlsO2pqdnsmDBYjZuXM3YsVtwdnYpc/6bQx8sLiNRUVHFGuAz1ipr1jTfXDS2BMLDw1myZAlBQUEopfD3989ZfRoZGZlTK33//feLXOh08+ZN5s+fb7OarTkSExO5dOkSmZmZFls3ptv9/Pzo3bs3qampheosyXqJwtJaaqW8/PLLOa0AS1hzED48PJxly5bhWoIgu5cva9e/fv0yf/55mL/+Osmnn77EnDnP5AmA0qXLAF55ZU0BI+DiooUm9PDQgp77+kL16loc5LvvvpMuXTrQtGk1goJya6wNGrjRs+dzPPnkCIKD3albVxEYCPXra7XX+vXJSd+wIYSGZtOsGYSFZeLtfYw2baBNG2jfHjp0gFatUvnll2VcuxZX6DTIkyd/5a+/TpGVlcmuXWssdpmtWTOeiAh3fHxq8uijr3PixC+8+mpTfv/dunP4zeHiov3+tm2hRQvYu3c1ffu25uefo6hWTWsB3Lx5gxs3rnHt2hV+/31HHsM/depbdOkSwu7d282ePy0tjVu3kvnqq+kcP76NPXvW5TECmZnpRXYlOgKV3hAYa5fFxVgAmesWSE5OzimwjGMFK1asIDU1Nc8MoqFDhzJ8+HDeeOMNMjMzi7xm/j+KcXZKVFRUngKzYcOGrFhRdn8z7dq1o27dusTExFjsAjH9rZ6enuzbt4+MjLzz1027kIrTVRMVFUVAQABKKQYMGJAnbUREBEopAgICLBb08fHxBQxEfqy9Ajw8PBxfX99ip1dKMWVKd1xd3Zkx4zRvvrmRoUMXUatWQzp06EGtWlqB3KiR1uXQsqUW57ZNG7jnHmjXTiu0WrfO7Y5o3hxCQ7VjQkK04+vXz33v0uU25s5dyqRJ79GwIQQHC+fPb2HBgmEEBqYTFJSb/uLFXxg//kkyMv6iW7e6hId3ZNOmz8nISMLJSQwBi4QxYyZz//3/xwMPNOH33+fx008fkZZ2leTka8yf/xw7dqxk6dIRjB4dRmSkF7Nm9WXHjoL/TRHh+PFtAPz6q+Zee9++9SQnx5OcrA2ep6Rc56uv3iUl5Tr79m1g7971Occ7OWndMElJf5CRcTQnD+rUyaBWLfDz04ymi4v27u2dTfXq2fz++yx27Xqfdu00I2isj/322/84fvwQly7lTg6ZP/9r9u+/yvz5/6Zv33v56acNOfvc3NzJzs7m4EEtglxS0g3S09NZvPgjJk4cxc6dW2jTxp+UlCTefXctHTrkjsuMHduWgQM9SEiIK/J/Ex9/nv37vycjQ+tliIs7Vq6O8Cp911Bxumfyo5RixYoVBQaWjftefPHFnMFkS+dXSuUp4F1dXQsUpEXh6uqKUiqPJ1A3NzeWLl1api6ZTp06cfbsWf73v/+xb98+s78T8nbHDBhg3vWxsQupqPUSUVFRPPfccyXOg5JgvG/W7q6y1H2WH3d3d0QUwcGtmTPnV2rUUHh7a33OYD4iXEm4evVvVq1aSGpqCm+8MaXQtD163El09GEWLfqWli1bM3362/Tp8zwzZ05k166tvPvuXKKi5nPiRG5si4CAOqxevY3GjfMGY+ratTlnz55g8uT5HD16kM8/n0/fvsNJSkpm377/0a/f23z++fsMGTKPgIAQFi58kX/8oz/e3n40a9aR6tXrcvr0Ppo06YiTkxOursL+/Rtwcspiz571pKensHXrl9SoUYtr167QtOkdbNhwGFdXzRAAREZ2Z/v2H/n44yiCghrx8svPMGfOGu68s32OzitXLtOjxx00aNCIw4f34OTkxObNxwgNzfUjlJycxMGDuwkJaUqDBnlnwX366Uzmzp3MW29NIzS0Gb/88l8eeuhxsrKyaNGiFQsW/IfZs98lMnIUK1bMZcCAYdSvH8zEiSOJjBzJ2LEfcewYJCdr5xs/vgNnzuzh3Xd/JSjoDnbuXMntt3dl06ZZeHr60qfPeznXXr/+Q1avfov77x/E4MELGDUqhISEC4watZqwsH+wa9cXNGvWgvHje5boP2NKYV1DiEiFerVt21ZKglJKgBK9goODRUQkODi4xMeWx8uor6ysXLlSvLy8Cr2Wv79/oWmMWgrL5/LMS1tgSbtSSvz9/UUpJcHBwbJy5Uo5dOiK/Pe/0RITI1Z/7doVJ4B4enpJdPQtiYkRWbbsR4mK+klOn87Mk/add2bJ88+PliNHkqRVq/ZSt24D2bkzVjZs2CePPNJHDh26JgcOxMtXX/0q7dt3yflNU6YsKnDdsWOnyYcfLpaYGJEDB+Llrrs6yrZtZyQmRuTMmSw5ezZbjh1LkZgYkW7dHhNAhg17UwBxd/eQ48dvSkyMyNmz2st43nvvfVgAefrp5+SOO9rKhg375O6775XRo9+TJUu+kz59npfduy/K6dOZEhExQmrWDJD9+6/KgAHDBJDHHx8gMTEiX331qzz99HMyYcLHAsgDD/SUf/3r37J3wjEyAAATXklEQVRgwTdy9my2REenypYtx4rM3+PHb+ZoHTduuri6uspLL72ds3/y5AUCSM2aAeLh4SkDBgyXmBiR6OhUOXgwQWJiRE6eFPnmG5FVq0QWLLgikyfvlUWL4qVJk3sEkEcfHSOA+PnVkaioLFm1Skv74oufSnBwaxk9ep2sWiXSr98UqVYtQJYuvSGDB2vXbd++Z5n+x8BesVCuVtkWQf4auxFjLTg8PLzYNcHyxnQgtyyUprVkimleFXYuf39/sy0Oa2Or1dqFDV7nb33Ex0NSUv4zWI+ZMyehlGLv3l944YU3GD9+ODExJ1m69HseeCC3tiiGmNQiwuLFH7Fw4X/YsuUY1aubH/+Kjv4DZ2dnli+fQ0hIUyIiRpQoeJGR5OQkpk9/m379hjB79nu4uLjw8cfmx4p+/PFrYmJO8cgjT9OgQUieFlNc3Dkefvh2ateux+bNR3F1dSUtLQ13d3fS09NZufITIiJGcPbsCZ56qhNdu/bio4+Wc/bsCdLSbnHbbdoU68uXL9K3773Exp5h9uwvePTR4k2pzc7OpnXrGqxb9xtNmmhTXW/eTOH8+RiaNbudq1e1OFoBAQVnfWVnw9WrcPWqMHx4ay5ePMF99z3HpUuneP75T9i9ey233/4AzZp1wNnZidjYw7i7e1K/flNAcHbW8iEzMx03Nzdu3PibefNG8cgj/Rgz5vEC1ysuhbUIKr0hsPQQG2fqxMbG4uzsTFZWVs6sIePDXdaC0lb4+/tz9erVUh1rnHtvjd81bNiwnNlONWvWLJfC3hKWCmZrUdw1C7Y2BABvvz2MqKj5hIe/yLlzp7h2LZ5163bh7u5h8Zi0tFuF7gc4ceII3bvfgZubOz/9dKJA10l5cuNGIhERDzJkyJhCC+/k5CQGD/4nNWr4M3fu2gJeWUWEe+6pR6NGYfTo8RRnzkTTr9/gHENRGLt2baVjxwcK3b9y5Tz69BnEffcVdG+SnJzEiBFPc/ToAX75JZYvvlhC06Yt6djxAXbv3s6sWZMICKjDt9+u4uGHn2D+/MIHz93doW4ZHJpWaUMApV94FBUVZXEqaWlwc3Mrc6hJ43lKM05gzigWhpeXF56enhYLeEutqvLA29sbDw8PEhISyn3KbWGUhyGIj7/C2rVL6dbtMUJDm1ltqqKIsHXrD8TFnWPgQPvPf8/Ozi6Wu+30dG1mjru7ea+tV6/+ja9vdQYOfIjdu7excOF6unXrZTZtSRg79gVWrVpIhw73s2rVVovpUlKS8fb2ybNt5Mh+fPfdF/TvP5Tvv19D794DGT9+RqG/VzcEJpS307nhw4czf/78Igs8Y6vCEv7+/sycOdNqtfHSdIMUp4VjLNyNrSOgRMajPLF1K6A0lIch0Ckd+/b9yu7d2+jffyg1aviX+XyJidcYP344Tz4ZabZFUBg3blxnzZql9OrVHx8fX7y8vIs8RjcEJtjD+6g51xSmeHl5FVpQ5i+wChu3cHV1LVaroTTjBMUZ81i5cmWBgtWa3UlGjDN8jC210v4PHc2Lq24IdGyFLQ1BpV9HYA3Cw8O5evUqK1euzHG85uzsDJATr8CSQzZnZ+cCtVZLwW9WrFjB0qVL8fcvurZSmvnyRR0THBxstnYdHh7OuXPnrLpasmHDhjnnzc7OLrVDO3t5cdXRqUzohqAEGAsuESEzMxMR4dy5c4SHh1ss3JctW1agcC0s+I05o5O/ALYUMa0oCvOfU5xzlsT4eHt7WzQc5q5VWt8+9g4hqqNTGbCpIVBKdVdKnVBKnVZKvWlmv7tS6gvD/t1KqRBb6rElJYlsZkxvrA0bjYm5/SLCihUrin3e4mqEgq2aos5Z3MLay8uLBQsW5OguzrXy55+/v3+R0xdLaxB1dHTyYrMxAqWUM3AS6AbEAXuA/iJyzCTNcKCViLyolOoHPCEifQs7r6NEKKuqWBovyT/IbI0B3PyzvXr27Gk353zFRR8j0LEVFXKwWCnVEZgoIg8bvr8FICJTTNL8aEizSynlAlwCakkhonRD4BjYMhZARUY3BDq2wpaGwJaBaeoD502+xwH3WEojIplKqUTAH8izWkopNRQYCnqfsKNgHM/Q0dGp+FSIwWIRWSgi7USkXa1atewtR0dHR6dSYUtDcAEIMvnewLDNbBpD15AfYD8/BTo6OjpVEFsagj1AU6VUI6WUG9AP+DZfmm+BSMPnp4CfCxsf0NHR0dGxPjYbIzD0+b8E/Ag4A0tF5KhS6l00d6jfAkuAFUqp00ACmrHQ0dHR0SlHKpyLCaXUFaA8XYIGkG/w2kFwVF3guNp0XSXDUXWB42pzZF3eImJ2kLXCGYLyRim119KUK3viqLrAcbXpukqGo+oCx9VWUXVViFlDOjo6Ojq2QzcEOjo6OlUc3RAUzUJ7C7CAo+oCx9Wm6yoZjqoLHFdbhdSljxHo6OjoVHH0FoGOjo5OFafKGwKlVB17a7CEUqqGvTWYQylV9jh/NkDPr5KjlHJIny2O+lxW1vyqsoZAKeWjlPoY2KiUWqCU6m1vTUaUUl5KqbnAJqXUSKVUG8N2u94vQ57NAL5XSr2vlHrAnnqM6PlVcpRSHkqpecBWpdS7Sqn/M2x3hDxzuOeysudXlTQESqn6wApAAT2BbcBUu4rKy2g0L6yRgAewAEBEShak2IoopZoCXwNZwCDgCjDWXnryoedXyRkE1AbuA2KApUopDzvnmSM/l5U6v6qkIQBuAYtF5GURuQSsAQ4qpVrZS5BSysPw7gK4AZ+LSLSI/Ae4YqhZ2rMGkgIsFJHXDcGFfgD+Uko1sIcYPb9KjlLKx/QrsEtE4kXkU2AX8IEhnfWCU5cMh3ouq1J+VQlDoJRqppSar5TyBBCReOB/JkmCgFDghB20hSmlooDZSql2IpIJ+AAdTZK9CEQopRqUVw3EkGc5tQsRuQhsNEniBTQXkbjy0GOiS8+vkmtropRaA3ymlHpEKeVu2FXbJNkY4AmlVGMRkfIo3Bz1uayK+VXpDYFSqjNa82koWhcCSiklIikmydyAcyKSVs7aPNG6MQ4Bh4ERSqnngX8DLyqlAgBE5DywEhhSTroeAdYBrytDrGmllIuIJJskq0n5P6B6fpVcmxPwMXAE7Tn4JzABWA70VErdDmAwUOsxdF/Z2guwoz6XVTW/Kr0hQItvMAgIA55TSgWbuWltgDMASqkh5dgUbQykiMhUEZkNLAaeADyBeeRdBHISLcpbeTRFLwPhaHn2L6WUj8GbrJPJtVsCRw16nlFKhdlYE+j5VRrqAteBySKyHngPLY54UzSjOk7lzjjZRPk5dHTU57JK5lelNwQichw4LSKngS3Au1Cg77gr4K+U+gp4Bq3vrTy0HQFClFL3GjYdBn4C3gDGATWVUu8opfoAg4FUw3E2rX2IyF4g2pBnm4D5hl3K5NqdgVpKqa/RCsEMW2oy6NLzqxiYGj4RuQC0QyvMjN/nAR8YjGkKMEkpNRitZZVQTroc5rk0vaaD5ZepLtvml4hUihda09vX5LvK/xmoBpwGuuY7diNabe0pG2kLAOqY6gGcDJ9HAitN9rVGi9MQgGb9BwKbgfDy0GUmz3zRakjtTfa5oxXC+4A+NtBVF+iUb5sj5FcBXY6QXybans+3zdnw/iyw02R7dbSBxdZADbTuj9U2zLPnLeyz23OJFi99GuDmYPlVQFd55JfV/5D2eAHjgeOGmzPRsM0pXxrjTX4F+M7wuT9aoXy/DbW9DUQDXwIfmmoxfG4CfAVEGr77owXzCbRxnpnTZSnPxgNbDZ+7G94ft6G2o2g167sM300NlF3yqyhdds6v8WhGZrSF/U7Az8ArJtuWA7fbOL8K1ZUvz8rtuUSbTHAEmIM20SD//95e+VWoLlvml81+VHm8AG/gP8AXQB20GmEiEGLYX6CGa/h8zZBuCeBhI20ewIdoNYlaBn03gZrGP5tJ2ofQ+vbuAvoAW4GG9tCVL61pnmUCScBMwNVG2pwMD8BGtGb3q2jBNOyWX8XQZek/ZvP8MlxnmuE6Ba6RT09btPnvjwMD0ArolvbQVYhGmz6X5LYqZ1sq1MmtdZdbfhVHl63zyyZ/Alu/gOqGdxfgfsDFZN8iYJCF4/zQDMdh4B+21Gb4XNfk8/3AKuA2C3+8YcAswx/O6tpKqstkf4AhTw/YWpfJtjnA64ZC9F5751dxdJVXfpm5ly2A39C6C8LQBhQ75EtvLGgeAyYB24HO9tZlktamz2U+XU7AH2gVoNsM130Wk4oQubXu8syvInXZMr+s/ie15QutG2AOWh/wKKCJyT6FNn1qK9DawvFOQKty0tbcsN0FrQZ7DpgO/I7WlDP+2Uxrus6OosvkeBcbPZymukYCLQzbmwCfGT6PRquBvwI0MN7ncsyvYuuydX5ZuJdGbRPRBp9/Bd5Bm8ky0OQ/pmyhp6y6TI63yXNp5l7eYdj+ATDDsP0FtMV+H5g8GwW6ZBxBly3zq8LMGlJKdUBrml8F3kcbVBllksQJ7U+XDlwwdw4RyRaRw+WkbbjhmpnAfiBURF5Dq2GMNuhFTBY8iUiWo+gy0ZQpIr/YWFcDE12ngRtKKWegGfAycI8YFmKJ4UkwfLZ1fhVbl4kmq+eXBW310VpFoLVQ3gUeFJFJwEtG3QZNgo0oiy4TfVZ/Li3cy+cNu43dimtFZAHwLyAQw4IxseEixLLoMmKL/HKx5slszHXgIxFZDTmeJrsaVv1liEiWUirU8PmK0pwvuRnT20mbB5AmIjnBrEXke6XU62gPzDldVx5drmjz7e9Aa/aeQetrFqVUUxE5VUV1WdL2oOFeJorIe8aEIrJBKTUarZCx9Tz3iqSrm2HfNrSV6HcZdP1hWIxYHqvQHVKXQxoCw4q5PLUYEYlWSp032ZeB1jVkuoquK+CplFqOVmv7l5213TI9RinVAq0WEAtc1HUV0JUBHFJK7QR2iMhmpVQjoB9WnkPuqLpKqK2x8V6aHNsS7V6ew3730lF1hRr2nVZKzQHeVJpPqlC0lnBMVdBlDofrGlJKuZpmXr5FKCkm+0LQamemBAC3o80BvkdE/ucg2tyVUhFos5t+FpFnRSRd12Vel4iMF5HNhs8xIjJFNLcRlVpXWbQppVyUUk+gTaH+SUSeMxgwXZcZXSJyEK2baifwrYg8KtrisUqtyxIOZQiUUi8B/1Wav+9/gta/qUxWz5l8DgV2G7b1Vkr5obn9DRERq8cNLYs2NIdjP6L1Kc/VdRWuSykVaE0tFUFXWbWhzSTZBtztSPfSUXUppeqJSIKIfCUiS6qCrsJwCEOglKqptO6ch4G30AZSIg3N75zBG6VUK8kdyGkJhCmlNgJPo40HRItIqgNqcxaRv62prRLrehIb9Ik6qi4raXsKbaZLguTrktF1WbyXmdbS4+i6ioXYcJpUcV+AM5pXPeMc8VDgMwxz29FGzpcDO4B6QEPgBpoLVput2HRkbbquyqHLkbXpuiqHrmJpt8tFtUHq14Egk20+Jp+d0BajNDV87wYMz3eO56qSNl1X5dDlyNp0XZVDV6l+S7lfUJuCtx/Nde8qC2laAD9Y2FfAGVNl16brqhy6HFmbrqty6Crtyx5jBFfRXAM0R3Mp/BCAUsrZZGS9LlqMV5RS9yhD0G+llBIrzmqpQNp0XZVDlyNr03VVDl2lotwNgYj8BXwhItfQ+s+MEX6yAGMG3gm4KaX+g7bk2nisYEMcVZuuq3LocmRtuq7Koau02GXWkOTOUlkO3FJKjTJszzZY03uB/wMSRKSTiGyt6tp0XZVDlyNr03VVDl2lwt59U2hTrXYbPrcyvPfCZABG16brqoy6HFmbrqty6Cq2fnsLMGTYJiANzdtegL31VARtuq7KocuRtem6KoeuYmm3c8Y5kevjZoi9M6MiaNN1VQ5djqxN11U5dJXkZVz4YDeUUj3Q/NykFZm4nHFUbbqukuGousBxtem6Soaj6ioudjcEOjo6Ojr2xSF8Deno6Ojo2A/dEOjo6OhUcXRDoKOjo1PF0Q2Bjo6OThVHNwQ6Ojo6VRzdEOjoFIFSKkspdVApdVQpdUgp9ZoyiTZl4ZgQpdQz5aVRR6cs6IZAR6doUkWktYjchuZTvgfwThHHhAC6IdCpEOjrCHR0ikAplSwiPibfQ4E9QAAQDKwAvA27XxKRX5VSv6H5o48BlqG5LP4QuB9wB+aKyIJy+xE6OoWgGwIdnSLIbwgM264DzYAkIFtEbimlmqIFKWmnlLofeF1EHjWkHwrUFpH3lVLuwC/A0yISU64/RkfHDC72FqCjU8FxBeYopVoDWUCYhXQPAa2UUk8ZvvsBTdFaDDo6dkU3BDo6JcTQNZQF/I02VnAZLQiJE3DL0mHASBH5sVxE6uiUAH2wWEenBCilagHzgTmi9av6AX+JSDYQATgbkiYB1UwO/REYppRyNZwnTCnljY6OA6C3CHR0isZTKXUQrRsoE21w+CPDvk+Ar5RSA9H80acYth8GspRSh9BCGc5Em0m03xC96grweHn9AB2dwtAHi3V0dHSqOHrXkI6Ojk4VRzcEOjo6OlUc3RDo6OjoVHF0Q6Cjo6NTxdENgY6Ojk4VRzcEOjo6OlUc3RDo6OjoVHF0Q6Cjo6NTxfl/+7PGkqCx/Z0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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77lBLcigUVkYZAh2YMWMG+fn5fP7553pLsSsmT54MaKOu1MgrhcJ6KB+BDvz444+sWLFCvcgqQEBAAE5OTly6dElvKQqFw6AMgQ689dZbtGvXjuXLl+stxa44cuQI58+fByAvL09nNQqF46AMgQ60adOGgwcPsnTpUr2l2BWFq44eOnSIgIAAndUoFI6D8hHoQEhICM8//7xaV7+ctGzZEldXV7y9vfWWolA4FMoQVDGZmZls3ryZ9u3bq3X1y8n333+vtwSFwiFRXUNVTEpKChERETz55JN6S7FLnnzySYYNG8aZM2f0lqJQOAy2DEyzRAhxQQjxZynp4UKIQ0KIw0KI7UKIdrbSUp1wd3dn/PjxtGrVimPHjuktx+749ddfWbNmDampqXpLUSgcBlu2CD4HBppJPw30kVLeBrwCLLKhlmqDn58fzz//PFu2bOG+++7TW45d0b59ew4ePMgnn3yi/CsKhRWxmY9ASrlVCBFqJn27ye5OoImttFQ3vLy8aNOmjVpiopwkJCQAMHz4cOrWrauzGoXCcaguzuLJwAa9RVQFOTk5uLm5sX37dmrXrq23HLvi8OHD5OXlqaU5FAoro7uzWAjRD80QPGsmT4QQIkYIEZOcnFx14mzA9u3bCQgIULGKK4C/vz9Hjx5lyZIlKmaxQmFFdDUEQoi2wKfAcCllqWsGSCkXSSnDpJRhDRo0qDqBNqJhw4b4+vrqLcMueeedd4iIiODw4cN6S1EoHAbdDIEQIhhYCTwopTyul46qpl+/fvz111/s3buX2267TW85dsX06dPZtGkTDz30EIGBgXrLUSgcBpvFLBZCfAP0BfyAJGAuUAtAShklhPgUGAnEGk/JLy2epimOELP48uXL1KtXjzp16nD58mW95dgNrq6u5OXlkZOTg6urq95yFAq7wlzMYluOGhpXRvoUYIqtrl+d8fHx4fTp09SqVUtvKXbFRx99RF5engrxqVBYGd2dxTWNFStW0LVrV7777jvVvVFOpkyZwvjx47lw4QKZmZl6y1EoHAZlCKqYhIQEYmJi1KiXCvKvf/2LgIAAtYS3QmFFlCGoYu6//3527drFmTNnePTRRzEYDHpLsgsKCgpYvXo1u3btomHDhqpbTaGwIjZzFtsKR3AWg3J8lpeMjAy8vb3x8PBQ3UIKRQXQxVmsMM+CBQsQQuDkpBplluDk5MTQoUOV0VQobIAyBFXMxo0b2b17NwMHDqRLly56y7EbPDw8WLNmjd4yFAqHpMzqqBDCSQjRQQgxRAjRXwjRsCqEOSrr1q1j7ty57Ny5U28pdslHH31E586dWbJkid5SFAqHodQWgRDiJrT1f+4ETgDJgDtwixAiE/gE+EJKqbyd5WDQoEHUrVuXzMxM1q1bxx133IG7u7vesqo9hb4sNepKobA+pTqLjTODPwZ+l8UyGVsFDwCpUsovbK7SBEdxFgcGBpKQkEBcXJyaT2ABcXFxBAUFAbBr1y6aNGlC48aNdVZV/XnxxRe5ePEiH330kd5SFDpTIWexuZnBUsoLwAIraKux9OvXj5SUFDUM0kIKCgoACAoKUr4VC5FS8sorrwAQGRlJvXr1dFakqK5Y5CwWQvQAQk3zSym/tJEmh+b48eNkZmby8ccfq3gE5SAkJASDwaDmXZSTlStXkpGRoYyAhaxevZoNGzZwzz33MHjwYL3lVBllziMQQnwF3AQcAAqMh6WU8nEbaysRe+8aGjhwIJs2bWL9+vUMGjRIbzl2x549e9iwYQNhYWE16h9VUTW0adOGI0eO4O3tTXp6ut5yrEpl5xGEAa2L+wkUFaNp06a0bduW+vXr6y3FLtm9ezdz585l+vTpyhAorE737t05cuQIN998s95SqhRLWgT/BR6XUiZWjSTz2HuLoJDOnTuzd+9e9u7dS4cOHfSWU+05c+YMM2bMIDk5mbvvvpuuXbsydOhQvWVVaxISEggMDMTd3Z2zZ8/iCEGdbM358+c5efIkAQEBDhdTvEItAiHEGkACtYGjQojdQE5hupRymLWF1iSklEgpyc/P11uKXXD58mXWrVtH27ZtixygCvMURnHLzs4mIyNDGQILaNSoEY0aNdJbRpVjrmvorcoULIRYAgwFLkgp25SQLoD3gMFAJjBBSrmvMte0J3bs2IGzs7NaYsJCmjZtypo1a/Dy8tJbit3g7+9PUFAQN910kzICFrJ//34SExNp165djRrWbcsIZb2Bq8CXpRiCwcC/0AxBV+A9KWXXssq1966hrl27kpCQwB9//EFwcLDecuyOy5cvc/r0aXx8fLjpppv0lqNwMHr27Mn27dsZOHAgGzZs0FuOVTHXNWTJEhP3CSFOCCGuCCHShBDpQoi0ss6TUm4FUsxkGY5mJKSUcidQVwgRUFa59k58fDxxcXGqJVBBfv75Zzp27MjMmTP1lqJwQApn+f/yyy86K6laLBk19AZwj5TymJWvHQicM9mPMx6rFk5pW7F//36ysrJYvHgxBw8e5MUXX6Rjx456y6r2JCQksGbNGo4fP067du0IDQ3VW1K1JyUlhRUrVpCbm8vYsWNV95AFfPzxxyxZsoSWLVvqLaVKscQQJNnACJQLIUQEEAHYfXdK4T9j4Xj4iIgInRXZB3///TfTpk2jT58+HDhwQG85dsGLL77IwoULAejWrZsyBBZwyy23MG/ePL1lVDnmRg3dZ/wYI4T4DviR60cNrazkteOBIJP9JsZjNyClXAQsAs1HUMnrVgtmz57NI488oloDFhIQEEBERATNmzfXW4rd4ObmBoCXlxe+vr46q7EPpJRo41hqFuYWnVtq5jwppZxUZuFChAJrS3EWDwFmcM1Z/L6UssxFZOzZWVxQUEBERAQeHh58+OGHestRKBTF6N69Ozt37iQqKopHHnlEbzlWxZyz2JwheADYJKW8VMGLfgP0BfyAJGAuUAtAShllHD76ITAQbfjoRCllmW94ezYES5cuZdIkzX6GhIQQGRlJeHi4zqrsi5iYGEaMGEH79u1Zu3at3nIUDkadOnVIS9PGwjjaYgoVXWIiCPivEKIWsAXYAOy2dKkJc6uXGtMl8JglZTkC0dHRzJgxo2g/NjaWSZMmcf78eZ566ikdldkHWVlZpKamcunSJeLj49US1BaSmppKVlYW9evXV3EvLGDfvn0MHTqUFi1a6C2lSrFkiYnaaMFpBgJdgGPARrTWQpLNFRbDXlsEoaGhxMbG3nDc19eXixcv6qDIvli5ciUjR45k8ODBREVF4eHhgZ+fn96yqjV33nknW7ZsAbQQqQMGDNBZkUJPKrXonJQyHfjBuCGEaA0MAr4E1C/LQs6ePVvi8ZQUc1MtFIW4ubkREBBAo0aNigLUKMyzZ88eQBsb7+KiwpMrSsfSeASBQIhJ/j1SyrdtpsoBCQ4OLrFFYO/DYauKIUOGkJCQoLcMu2L79u1cvnyZ7t27qwmMFjJ16tSiiG4BAQ4/v7WIMg2BEGI+MBY4ikk8AmCrDXU5HJGRkUyZMoXs7OyiY56enkRGRuqoyv64ePEic+bMoW7durz++ut6y6nW3HrrrXpLsDu+++470tPT2bJlS5HTuCZgSTVhBNBCSjlYSnmPcVMrj5aT8PBw5s+fj4eHB6CFXHzzzTcZPny4zsrsi4yMDKKioli2bJneUhQOyBdfaCHYs7KydFZStVhiCE5hHPapqByPP/44mZmZSCkZM2YMjz32GFFRUXrLsgt+/PFHOnbsyEcffcTChQtr5OzP8hAXF8esWbMICgqiU6dOrF+/Xm9JdsHw4cM5efIkp0+f1ltKlWJuZvEHaF1AmcABIcQWrp9ZrEuoSkfBx8eHhg0bFs3+VJgnOTmZ/fv306lTJ+bPn6+3nGrP6dOni7rO4uLi1Mg0C3FycnK4gDSWYG5C2cPmTpRSfmETRWVgr8NH4doElZo4hb2yXLx4kdjYWHx9fdWCcxZw5swZoqOjyczM5L777iM0NFQtM2EBixYtwtnZmQkTJuDs7Ky3HKtS0ZnFI4DtUsoLthRXXuzZEGzbto1evXpx++238/vvv+stxy4pKChg06ZNGAwGFapSYVWklDg7OyOlJCIigg8++ABXV1e9ZVmNisYjGA/sN8Yi+EIIESGEuGHNIIXlFBRog67UUL6Kk5+fz5AhQ7jvvvvKzqxQlINCAwBay8B0hJ+jU6qPQEo5CooWjuth3B4RQgSjzSMYXBUCHYk+ffpgMBgwGAwsW7aM999/n/DwcJ544gm9pVV7/vjjDzZv3kz37t0ZMGCAQ9XUbMGpU6dITk7m+PHjnDx5kgEDBtC9e3e9ZVVrnJyciIqKokOHDhgMhhrlv7NkZvEZIYQ74GHcCj8rKoAQAmdnZy5cuMCePXu4/fbb9ZZkF/zxxx+89NJLzJw5k40bN+otp9oTFRXFm2++WbTv4+OjDIGFONqqo5ZgbtTQLKA70AD4G9iJtlpohJSyoLTzFJZx//3307NnT7V4moX06NGDuXPn0qNHD72l2AWBgYF06dKFli1b0rRpU7p166a3pGpPQUEB58+fx83NrcatY2XOWfwXkAGsAbYDu6SUV6pQW4nYs7N4+/btvPbaa/To0YNZs2bpLceuUSOwFNYmPj6eJk2aALBu3Tp69+6Nt7e3zqqsR4WcxVLKlsBdQAxaXIEfhBC7hRCLhRATbaLUwUlISGDdunXs27dPbyl2TYMGDXByciI1NVVvKQoHwmAwFLXQhwwZwrlz58o4w3Ew6yOQUqYAa4UQG4FOQG/gEWASYC6CmaIEevbsyZo1a/D39+fQoUOsWrWKNm3acO+99+otrdoTFxdHUlISgYGBRa2AvLw8nVVVf86fP098fDz+/v5FtV1FyQQFBREfH8/UqVOJi4urWfEbpJQlbsAwYB7wO5Bi/DsPGA40KO28YmUMRPMv/AM8V0J6MPArsB84BAwuq8xOnTpJR+DLL7+UgBw/frzeUuyC5557TgJy9OjRMjg4WAohZEhIiFy2bJne0qolU6dOlQ0aNJAdOnSQgJw1a5bekhQ6A8TIUt6r5loEE4A/gGeAvVLK3PIYGCGEM7AQrXspDtgjhFgtpTxqku0FYLmU8mNjnIP1QGh5rmOvtG3blhdeeIF27drpLcUuCAgIICQkhFWrVpGbq/0UY2Nji8Z9q5Cf15OamkpycjIdO3akY8eONWpJZUX5sSRC2SAp5YZix6ZJKc2uliaE6A78R0o5wLj/PICU8nWTPJ8Ap6SU843535ZSmh0WYs/O4qNHj/L777/TunVrevXqpbccu6O0KG8hISGcOXOm6gVVY9LT08nMzMTHx6doxVuFeQ4dOsSECRNo3749S5Ys0VuO1anozOJC5ggh+psU9gxa91BZBAKm3pY44zFT/gOMF0LEobUG/lVSQcZZzTFCiJjk5GQLLl092bp1K9OmTSM6OlpvKXZJaVHeSjtek6lduzb+/v7KCJSDK1eusH//fpYuXYqzszObN2/WW1KVYYkhGAa8JoToJYSIBLpimSGwhHHA51LKJsBg4CshxA2apJSLpJRhUsqwBg0aWOnSVU+rVq2IiIjg9ttvJy0tjQMHDnDixAm9ZdkNpUVzU1HeFNagQ4cO7N27l+DgYAwGQ40ajGDJzOKLQohhwM/AXmCULKs/SSMeMA0u28R4zJTJaA5lpJQ7jDOY/YBqtdCdtejTpw99+vQBtGDigwYNYsCAAWqmrAU888wzpKam4urqWuQjABXlrTRef/11/vnnHxo3bsxnn31GeHj4dTONFTfi7e1Nx44dOXHiBM7Ozg63+qg5Sm0RCCHShRBpQog0tFE/twCjgcJjZbEHaC6EaCqEcAXuB1YXy3MWuMN4vVZoy1fYb99POahTpw7t2rWjadOmekuxC1JTU0lLS2P8+PGEhIQghCAkJIRFixYpR3EJrF27liVLlnD27FkSExPVnIty4OrqWqOMAFjgLK5U4UIMBhYAzsASKWWkEOJltGFMq40jhRYD3mhBcJ6RUv5krkx7dhanpaVx9epVfHx8HGrGYlVw5coVMjIyqFOnDl5eXnrLqfasX7+exMRE+vXrh7u7O15eXtSpU0dvWdWaw4cPs2LFCtq2bcvIkSP1lmN1zDmLzc0BCBL4EsQAACAASURBVC0tzZgugCbm8this+d5BK+88ooE5OzZs/WWYtds3LhRRkVFydjYWL2lKByI6OhoiVYhlcOHD5ebN2/WW5JVwcw8AnPO4jeFEN8LIR4SQtwqhGgohAgWQvQXQryCNseglRUNlsPj6elJQEAAPj4+ekuxa95//32mTZvGoUOH9JaicCDatGnD3LlzqVu3LqtWrapRcYvNdg0Zu27CgZ5AAFr84mNoQz1XSCmrPHKDPXcNmXL48GEGDx5Mq1at+Okns71hCuCTTz5h7969REREsGPHDv7880+mT5+uJuSVwsaNG8nOzsbX15evvvqKDh068Oijj+otyy7Yu3cvZ8+epUOHDg4VFrVCXUPVdbPnriFTDhw4IAF522236S3FLhg5cqQE5PLly/WWYhc0bdpUAvKtt96SgBwxYoTekhQ6QwWXmFDYkFatWhEbG1uzFraqBNOmTeOuu+6iU6dOekuxC+6++24SExPp1asXUVFRanSaBSQkJJCQkEDjxo1rXJwQm44asgX23DX0xhtv8N133zFz5kzuv/9+veXYLWlpaaSnp1OnTh01+kphNebNm8fzzz/PXXfdxdixY+nQoQMdO3bUW5bVqOwSEworERsby759+7h06ZLeUuyap59+miZNmqilOhQAbNq0ic6dO/PXX39Vqhx/f386derEvn37mDJlCqtWrbKSwupPmYZACLFSCDGkpKUfFOXjueeeIyYmhlGjRpGamsr06dN59tln9ZZlF2zfvp21a9eSnJxM/fr1CQgIqFHBxctLdnY2BQUFXLp0ibVr17Jt2za9JdmMl156iZiYGD744INKlTNx4kRiYmJYsmQJkyZNokOHDlZSaAeU5jwo3IA7gWjgJFo8ghZlnWPLzVGcxQkJCRKQjRo10luKXdC/f38JONzYblvh5uYmAblx40YJyNtvv11vSTYjKipKDh06VK5atUpvKdUaKjiPoNBQ/CylDAc6AmeAn4UQ24UQE4UQtWxinWoAderUYeHChcyfP99qZUZHRxMaGoqTkxOhoaEO1XXSrVs3hgwZgrUWHXTkZwXg7OyMEIKAgACGDBlCjx5mV3e3ax555BHWrFnDsGHDSkzftWsXDz30EBcuOOQSZtahNAthugG+wBNo8YtXA2OBD4DfLDnfmps9twiWL18u586dKw8dOmT1spctWyY9PT2LZkYC0tPTU0XwKoGa9KwMBoPeEmzOrl275KFDh2Rubm6J6YXf8fTp082W8+yzz8pGjRrJqKgomZSUJFNTU20hVzcw0yKwxAj8ABwFngcCiqWVWrCtNns2BGPGjJGA/Oabb6xedkhIyHUvtsItJCTE6tfSm88++0x27NhRfvjhhxU6vyY9q5qAn5+fBGR8fHyJ6WvXrpVPPvmk3LNnj9lypk6dKgEZFhYmATl58mRbyNUNc+9rSxzA70spW0spX5dSJhZrTZQ8S01RIqNHj2bu3Lm0adMGg8HAhg0bWLt2rVXKdvSgLQaDobDyQVJSEvv27ePcuXNlnFUyjv6siiOlpKCgQG8ZNkFKycWLFwFt+GdJDBkyhHfeeYewMPOvq7feeov4+HgiIiLw8/OrWYsblmYhCjfgvhK2O4CGZZ1ri82eWwSm5OfnS0A6OztbpTxHr+UWBmGPiYmR8fHxcs+ePaXWAMuitGfl6+trZdX6kJaWJu+88045evRoeeTIEQnIVq1a6S3LZrz33nsSkE888YTeUqo1VLJFMBn4FG3NoXC0ZaOfBf4QQjxoDWNUE3FycmLAgAEMGjSoqKZbGSIjI29YQ92RgrYUPiNnZ2caN25MWFhYhWd/RkZGUqvWjeMc0tPTHcJpnJmZyc8//8xvv/1W9JswGAw6q7IdM2bMwGAwsGDBghvSjh07xl133cXdd9/N9u3bdVBnJ5RmIQo34CfA32TfH9gE1Af+LOt8a2/23CI4duyY3LNnj7xy5YpctmyZDAkJkUIIGRISYhVH5fTp069rCTia89NgMFjN+enr6+uwLajs7Gy5adMmuXnzZmkwGGRBQYHeknTjiy++KPpuZ86caTbve++9JyMiIuTBgwerSF3VQiWdxUeL7YvCY8D+Ms4dCPyNFuHsuVLyjEFzRh8Bvi5Ljz0bgsKx8M8//3yNGbViCw4cOCBffPFFuWLFigqXIYQo0RAIIayoVGFrNm7cKOvWrSsnTJhQYvqhQ4dknz59pL+/v/z+++/NljVw4EAJyDlz5sguXbrIGTNm2EKybpgzBJYsOvebEGIt8F/j/kjjMS/gcmknCSGcgYXAXUAcsEcIsVpKedQkT3O00Ug9pZSpQoiGFuixW5o3b87ly5dZunQpmZmZ16VlZmYye/ZsFXbRAg4fPszLL79MeHh4hSNJ+fj4cOXKlRuOBwcHV1aeogpJTk7m8uXLfP755zRr1ow5c+Zcl37bbbfx22+/WVTWE088wYgRI6hVqxa7d++mdu3aNlBcPbHEEDyG5iC+3bj/JfC90cL0M3NeF+AfKeUpACHEt8BwtNp/IVOBhVLKVAAppUPP+IiKigI0/0BJVGbUSk5ODjt37uTUqVM0bNiQIUOGVLis6sikSZNITk5m8eLFtG3blrlz59K2bdsKl/f4448zb9488vLyio45ik/l4sWLfP311/j7+zNgwAAefPBBateuzddff623NKszbtw48vLymDRpErt3765UWQMHDgS0sKitW7emXr161pBoH5TWVNDe8zgDv5rLY+bcUcCnJvsPAh8Wy/Mj8AZatLOdwMCyyrXnrqFCbDHCp3B0SOHmaP3CQUFBEpBnzpyxWpm28NNUB/bt2ycB2bZtW3nx4kUJyPr16+sty2YkJibK1atX3zBPwGAwyBUrVsjt27fLs2fPyvPnz+uksHpARbuGpJQFQgiDEKKOlPLGdnTlcQGaA32BJsBWIcRtUsrrupyEEBFABDhG0z0yMpKIiIjruocqWxvNzc2lW7du7Ny5k8GDB1NQUFBqy8MeWbp0KRkZGVZbYgIgPDyc4OBgjh07Ru/evWnZsqXVytYTX19fZsyYURQWddWqVQ4d96JRo0bcc889NxxPSUnhgQceIDc3F4Bhw4aZXVH0l19+ISMjgz59+tS8cLKlWQh5rda+CjgLfAa8X7hZcF53YJPJ/vPA88XyRAETTfa3AJ3NlWvPLYK+ffvKgIAAeeTIEYetjVYFaWlpMiYmRh49erTCZRw7dkzu2LFDjhgxQgJy8eLFVlSoHwUFUmZlSZmRoW1paVJeuSJlerqUmZlS5uXprdC6vPnmm3LixIly3759N6RduXJFLly4UAKycePGcty4h2VKivZcShp81qZNGwnIn3/+Wb766qty4cKFVXAHVQeVdBavNG7lZQ/QXAjRFIgH7gceKJbnR2AcsFQI4QfcApyqwLXsggsXLpCYmIiUkvDwcKs5hqOjo5k9ezZnz54lODiYyMhIh3Y6x8TE0L9/f/r06WOxI7A4c+fOZfny5QwePJipU6dyyy23WFekFZAScnMhP1/7XFCgbQAGg/ZZSu1zfr721xJq1QJ392tbsekndsXGjRvZsmULV65cYcyYMYwdO7YozcfHh8GDh7BhQ3tattQW3SscH+DiArVra1thw7lPnz6EhIRQUFDACy+8QMuWLZk+fXpV35IulGkIpJRfCCE8gGAp5d+WFiylzBdCzECbc+AMLJFSHhFCvIxmmVYb0+4WQhwFCoCZUkqHjdqydetWcnJyiro35syZw759+3j99dcr7PiMjo6+rpspNjaWiIgIAIcyBkuWLCE/P5+HH36YunXr0qFDB5o3b17h8po3b063bt2YOXMmffv2tZ7QSpKbCxkZkJUFeXnai768ZGVlcvFiEp6e3tSv78c33yzGYChg/HgteH1enralp2v5XVw04+DiAq6u4OlpP8Zh9uzZtG7dmg8++IATJ04UGYLt27eTl2cgODiMli1DbjgvPx9SUzXD4OGhbW+//SHOzpCScpHnn5+Fv78/UoIQVX1XVU+ZoSqFEPcAbwGuUsqmQoj2wMtSypLXfLUx9hyqsjh33XUXP//8M5s2beLuu++uUBmhoaHExsbecLxx48bEx8dXVmK1wcfHh/T0dC5fvkydOnX0lmMRUl576RYUaC+fwtq9ENrLVohr+XJzLa/Vm+PXX9czadIQ+vQZyNKl62nWTKvynjplQFj4VqtVSzMKTk7aVniaENe/GEv7XNK+6atGymv7pp9BewamL+BCDYXGytn5Wi0etFjDc+fOJTg4mDlz5mAwQHBwEPHxcWzbFktgoHX8iqb3XvhMCr/HQk2Fx8w9J0v2TSl8Fk5OmsGquP7SQ1Va0jX0H7ShoL9pouQBIUSzistRFDJ37lwef/zxSkVCKm3IaWJiYonH7ZWJEyeSmZlp9ahkGRkZpKWl4enpaRUDk5mp1bRzc69141Q1tWq5EhgYQoMGjRBCMG5cBE5OThgMhhuWISmNQgNWXRHimlFwcWnMa68tBuD8ecjJgdtu60JAQAienl6cO3eaadPuo1GjJnz22ZpSy8zLy8PFxaVUY2lqsPRYscPNrXKGwByWtAh2Sim7CSH2Syk7GI8dklJWfBB3JbDnFsFTTz3F1atXmT9/PnXr1rVKmaW1CEJCQjhz5oxVruHIvPzyy8ydO5c5c+bw8ssvV7q8S5eudbkobEteXh4//rgMPz9/+vUbXGq+s2dP0afPTQQFNWXr1tJdkG3b1iE9PY19+y6SmBgHSFq3bm8D5RXDzQ0CAip+fmWD1x8RQjwAOAshmgshPgDU6k0VYNmyZSxatIicnByrlRkZGYmnp+d1xxxlYlRpnD59msaNG9OlS5cKl9GjRw8aNGhAXFwc/v7+eNiqqqWwGSkpyTzzzCRmzpzAhQuJJCSUvCy5v38ga9bs5fPPN5otr3Bhvvz8PIYMac+YMb2srrm6YknX0L+A2UAO8A2ag/cVW4pyVN5++20yMjKKxijv2LGDQ4cO0b179wo7iwsdwo48akhKSXx8PM7OzgQEBCCEIDExscQVRC3l0qVLXLx4kaeeeopFixZZUW31Izk5ifz8PBo2DLC4a8geEEIwYsR4nJyc6Nq1Md7etTl8OO2GfG5ubrRp07HM8v78Mx2DwUBeXi4tWtyGl5e3LWRXS8rsGqpu2HPXUHH+/e9/89577/HOO+/w5JNPVricgoICwsPD8fHxITQ0lJ07dzJnzhw6d+5sRbX68dVXX/HQQw8BWpfXK6+8wh133IGbmxu+vr4VKvPq1atkZWVRr149XFwsqQ9ZRnXoGlq/fgXvvfcfBg8ezRNPzKVjRz9SUy+xd28y9ev76SvOBuTkZNOrV1O8vLz59dcTZGdn0aGDLz4+ddm1K0FveVbDll1DZf4HCCFuAZ4GQk3zSyn7V1ySArTuiczMTG699dZKlZORkcF3332Ht7c3d9xxB2vWrGHSpEkOYQiio6OZNm1a0X5sbCzTpk1j0aJFlWr1eHt74+3tmDW+lJRkjh8/QliYtjxYw4YBuLm5O2xMAjc3d3bvvjY4Iicnm+zsLFxdtYEFUkoWLPgPubk5PPPM6xaPnKpJWOIsPog2A3gv2lh/AKSUe20rrWTsuUWwatUqnJycGDJkiFWXf8jJyWHlypUUFBRw0003ceHCBbp06UJAZaoP1QRbO8PXrVvH3LlzGThwIK+++mqly6sOLYLLl1M4fz4eH5+6NG4cpK8YG5KTk0Nubg4eHp7XteqklGRnZ5Gbm0OdOtrCcTff7EJBQQHHj+eW2KWYmZnBo4+OpHbtOnz44XdVdg/lQdcWAZAvpfy44pdXFHLvvfcipfXjx7q5uTFu3DirllldKG14bGxsLI888giffPJJhcp96KGHcHFxoW/fvuzdu7daziyuKHXr1qdu3fp6y7A5P/+8mhkzxjBo0Cg++ui/RceFEHh4eOLhcW0Qxb///ZJZ/0hmZgZbt24q6jq7++5buXw5hS1b/qZ2bcdfd8gSQ7BGCDEd+AHNYQyAlDLFZqocECklw4YNIz8/v6g1kJ2dTWpqKq6urhXu63Z0goODS2wRAHz22WcVMgQGg4GvvvoKgDfeeIPdu3dbdTE7RdUgpYHatX3w9q5NePgdXLqUzPLlW/HxuXFo9owZs82WVbu2j3FUkdZDkpx8nsuXU8jLy7WF9GqHJV1Dp0s4LKWUukwqs+euoeIsXryYiIgIJk+ezKefflrhcpKSktiyZQtBQUG4u7tz8OBBunTpUqn1+qsL0dHRTJo0qWgFSdCGx44dO5aePXsyadKkcvf5FhQU8O2335Kbm8vEiROtqrc6dA1t2/Yz27dvoWfPO+nZ8w4efXQkZ8+eIipqJUFBTfUVZyM6d27ExYtJ7N6dSFZWJm+88TxNm97CU09VbIBjQsI5nJ2d8fPzrzYjrXTtGpJSOuYvpxpQp04d/P39K+20PHToEOHh4fTv358OHTrw9ttv88YbbziEIQgPD2f16tUsX74c0HwDlR0e6+zs7FDDa4uze/dWPv54Hu7uHvTseQcnT/7FiRNHycrKLPtkO+WLLzYCgrp1fTl37jTr1i2nffuuRYbg77//JD39Crfe2uG6LqPScGTfSkmU2iIQQjwjpXzD+Hm0lPK/JmmvSSlnVZHG67DXFoGUEoPBgJOTk9VHLRw4cID58+dz66230qJFCzZu3MioUaMYNGiQVa+jF+np6Zw5cwYfHx9CQm5cQKwyxMbG8sUXXxAYGMjkyZMrXV51aBHs2rWVmJhtdOnSm86db+f48SPk5+fRrFkL3N0df+JcSspFtm/fQu3adejTR4s6dtddrfnnn2Ns2vQnt9xy4yi9hIRzbN68iqCgpvTvXz2j+9myRWDOEOyTUnYs/rmk/arEXg1BSkoKvr6+1KtXj5QU5V6pLD/99BPr16/nhx9+4Ny5c+WaSJeens66deuoX78+Hh4e9O7dm549e7Jt27ZK66oOhqCm8OWXC1m3bjkPPjidoUPHms37xBMPEB8fyxtvLKVZsxsHBvzvf5uYMGEgt99+F1999RNff/0JBw7sYuLEf9OqVfVoWevVNSRK+VzSvqIMCp3E1aW/0d4ZPXo0aWnXZpGWZ/ntuLg4xo0bR8uWLdm0aRNz5swhNDTUlnIVNuD06ePs3r2VgQPv4+uvFxEfH8v48Y8SENDkhrzvvWc+XnOjRoGMHz+dZs1aAPD77z+xceNK+vQZVG0MgS1RLYIqprB7CODw4cNMnDiRFi1aEB0dXeEys7KyKCgowNPTk9zcXK5cuYKrq6vDBN/+v//7P7y8vHjuuefw8vICtAlhGRkZN+S1ZH5BbGwszz77LAEBAbz77rtW1VodWgSnT58gJSWZkJCb8fNryPLlSzh37jRjx06mSZNQfcVZkXPnThMff5bg4GY89thoDhzYxcqVO/D1bci+fTsICbmZDh26Vqjs//1vI4mJcfTo0Z/g4Oqx2LJeXUMFQAZa7d8DKPQ0CcBdSlnmQi9CiIHAe2iBaT6VUs4rJd9IYAVamEqzb3l7NwSm7Nu3j06dOtG+fXv2799f4XIiIyN54YUXeO655wgJCeHRRx8lIiKiwmPsqxP5+fm4ubkZJwll4+rqCoCTkxMl/XaFELrOoK0OhuCZZybz3/8u4ZVXFjN8+BQmTOjNvn2/Ex39Gz169NFXnI347rvPuHAhkZEjH2bHjl94+ukJ3HffQ7z99heAtmx0Soq2jHSdOlqsBXtDl64hKWWl+jCEEM7AQuAuIA7YI4RYLaU8WixfbeAJYFdlrmePtGzZkt27dxetg1+ZkJOenp54e3vj4+NDgwYNbliR1F4xGAx8/PHHRfMtCiltfkFwcPmCkOTm5nLkyBGEELRvX32WHC6J/HwtRoAQ2t+cnGtBbQojmuXlgZPTTTRv3o20tEYcOQKdO0+kWbM7uXQphAMHwM8P6tfXIpE5CmPHXnP0BwaGMnz4A3Ts2B3QDPMTT0xi9+4fmTbtc8LChuHvD02aaMFuAK5cSeXq1XTq1KmHt3dtPW5BV2y26JwQojvwHynlAOP+8wBSyteL5VsAbAZmAk87aosgLi6OiIgIgoODiYqKuiG9eMhJ0F7ulV1Tx1GpzPPKy8sjNzcXd3d34uPjCQkJISgoqNRZzOXBGi0CKeHqVUhL00IpZmVdi1FsTdzcoF49rYbs7X3tpWgv/PhjNMnJ5xk8eHSpUcguX4bjx2HBgnHs2PEtM2Z8Tc+e2ix8Z2cIDISGDeHTT+czf/5zRETM5Pnn3+DSpWT279+Jl5c33bv3q8rbKhW94xFUlEDAdIHwOOMxU2EdgSAp5Tob6qgWpKWlsWHDBrZu3Vpi+uzZs697qQFkZmYye7b5GZGOTHR0NKGhoTg5OREaGnqdH+Xdd98lMzMTf39/hBAEBgZabDTXrl2Lt7c3o0ePxsPDg/bt21d64T9rkJUFCQlw4AAcOQLnzmnGoDDUZWVJSjrJzp3/LepSy8nRInr9/Tfs3QsxMfDXX5ox0yu6WnmIjo7itdeeJj4+ltjYk+zfv5OUlItF6Wlp2r0ZDDB58scsXnyJrl1HFaUXFMDZs9q9p6V50rBhEK6ufqSkwK5d+5k6dRgLFrxKWppmmAtjSWdna9+JI63hZ731d8uJEMIJeAeYYEHeCCACyt/0ry4EBQWxbt266wKg5ObmMm/ePAwGQ6m1UWvUUu2R4jX+4qOCXFxccHJyomHDhiQlJdGvXz+LW04GgwFPT088PT1p0KBBpfwz5sjP10JXZmZqoSsLXyIGg9a94+qq1UoNBu0lk59vExkkJZ3k6tUUPvhgHElJJ5k//xDBwbeVqPfyZW0TAry8roWDLBzsVhg7t5CS4hkXxtgtHrO3MBYxaH8LX6QGw/VphXGdC89zcdFaKx4e4O6u1YxdXWHYsHG0a9eZxo2DmTfvGdatW877739D377DiI/PJzXVEyG0V5yXV+kRAaWE3r3/Re/e/wK0FkR2dgjt2w8mMLAjR4+WeiqgaXF1vT6ecuEm5fXPqPCeTJ9f8eOFz694Z423d+VaBObQrWtICFEHOAlcNZ7SCEgBhpnrHrLXrqGSyM3Nxc3NDRcXFwIDAyu8yubMmTPZu3cvr732GrVq1WL69Om0bduWxYsX20i57Slr1dHik/OmTp1aLQLMnDwJp05pNUgrBqIrFwsWjObIkV94/PHvuO22O3n77XuJifmxKP3NN4/QpElrfcRZCSE0g+Durr2AP//8Bfbu3cwDD7zE3r1bWbXqdcaOjWTEiMrPe01KOsmhQz/Rr98UXFz06z+rVw8GDKj4+ZVdfbSi7AGaCyGaAvHA/cADhYlSyitAUZQMIcRvWOAjcCRq1arFCy+8gIeHByEhIUyePPm6MJaWhpzct28fv/76K+np6Xh4eLB7926rBlvRg7JaSE5OThQUFHD77beTkZFRbUZIJSdrXSu2RkpZ6gz1jIzLXL2agpRalbtRo+Y0axZGs2ZhBATcQv36N46ztzek1FpX2dna/tChrzJ0qLaM+P79f+DhURs3N6+i/Lt3ryQmZhVdutxHWNjwcl1r5sw25OVl4+xci/79p1jtHqoTNntbSCnzhRAz0EJbOgNLpJRHhBAvAzFSytW2unZ1JDExkR9++IHAwECGD9d+iEIIXnnl2qJYCQkJPPPMMwA0adKEefPmWdTdsWDBAi5cuECHDh2oVasWO3fupG7d0pvC9oAlo4KcnZ35/fffK3UdKSVBQUHk5uaSlJRkN0FLXnqpN3//vY377nuR0aNfui7tqad+IDc3Gw8PbfRLePgbgHavWVlpdnOPZXHu3J+4uLjh798MJ6drgxzHjHmFMWOuX2wuNvYAv//+JQ0bNivREHz11f9x5MgvPPDAG7RtezegPa+MjMvcems/DhzYQHCw404ss2m1UUq5Hlhf7NiLpeTta0stenPixAkee+wxevXqVWQIijNz5kz8/f2pVasWI0aMsDig+m23Xd/f27VrxSbRVCciIyNLHBVU2EKKjIxk27ZtvPDCC/Ts2bNcZX/55Zd8/vnnPPjgg0ycOJELFy6Ql5dHXl7edUNUqzN//60th7F69bwbDIG7uzfu7jcuZPj99y/x/fcvcd99cxg9+uUq0WlL5szpSk5OJkuXXsXd3cts3rCwETRs2IzQ0A4lpiclnSQ29iA5OdcmKT71VEsSE4/z7rsnePbZm62qvbphy1FDChMaNWrEtGnTGDZs2HXHjxw5wo4dO8g2tnEfeughxo0bZ7ERcFTCw8N5+eWXCQwMRAhBSEjIdaOC9u/fz8aNG/nnn39o3749bdq0sbjsf/75h19//bWom+n06dMkJSWVGLmqurJgwUkaN27BHXc8YlH+zMw0jhz5BcAhQlZKKWnUqDmNGt2Mq6sHP/wQSUREA9avL3mmeNOmHenTZwIhIe1KTJ848UNef30/rVtfGyrq6VkXD4/aZGWllXiOI6GC1+vMzTffzMmTJzl+/Dh5eXlkZmbSvHnzoklmlrBgwQIAHnnkEfLy8nj//fdxd3fn6aeftpVsmxMdHc3UqVPJysrCz8+PBQsWXNdNFhMTw8qVK3n99WvTUvLy8izyjZw+fZpTp04RGhrKTTfdZFXdO3eCFSJoVorvvptNamoCo0a9hJ9fMNHRM1m79i0AQkLaM2+ebUZJ6cny5XP44YdXGTXqJXJzszh+fDtjx75Ky5a9KlxmQUE+GRmpJCfH8uefP9OwYVO6dze/uJ0tsVdnscIC2rdvj5+fH87OzsyaNYsVK1YwfPhw3nrrLW6+2bLm6AsvvEBGRgaTJk0iMzOTOXPm0LBhQ7s1BIVDR7OysgC4ePHiDQvKhYWFkZioBSxv0qQJW7dutTgOdNOmTWna1HHDbOzZ8yPx8UcZMuQpALKzrxal3Xpr9ZgcZW2GDp3JgAH/wsOjNu++O4q//tpKZuaVovSLF89y8uQe6tcPpHnzbhaVKE1SVwAAIABJREFU6ezswg8/vMrGje8D0LHjUF0NgS1RhqCKyMzMJCUlBS8vr+sWg1uxYkXR58IVMFetWsWgQYMsNgT//ve/SU9Px8vLCxcXF2bNmmXXzmJzk+tMWwWDBw/m0qVLFBQUVCrU5OzZszl//jzz58/Hz8+v7BN05syZA6xc+TItW/amb9+J1KrlTq1abkXp99//OlevXioaHXT//a8zcuR/8PT0wdXVMbscPT19AC22cHj4m9xzz0yaNLnWXfjXX7+zcOF4evZ8oERDsHr1fLKzrzJw4BP4+Fz7DeTmapWRwMBWdOvmmEYAVNdQlbFy5UpGjhzJvffey8qVK0vN9+mnn7J582YmTpzIwIEDq1Bh9cGSBeX++OMPDh48yO23317uSGxr167ln3/+YdCgQbRo0aKoe+7EiRMWG9/SqIquoT/++IYPPywaic2zz66nffuygxClpMSzcOF4PD3r8NRTP5aZvzpz/vw/REbeQWBga557bkOZ+f/++w/WrXubli17MXjwkzek/+tfIVy8eJb33z9NgwahAMTErGLDhgW0azeQwYP/T9c5BKC6hhwCV1dXAgMDywxSP2XKFKZMccyxypZiydDR5cuX8/777/Puu+9y4MAB9u3bx5QpUyxyGn/55Zf897//pXHjxrRo0YJXXnmFzMxMu2gNALRs2YvHH/+Ob755litXkixyZubmZiGl5OjR3/DxqXjrqbqQlZXOxYtn8fKqD8CxY1v53/8+p2XLXvTte2Mc6hYtetKiRemjy+6551nS0y/i7X3t/zM9/RJHj/6Gr2+w7kbA1ihDUEUMHTqUuLi4G45PnjyZVatW8fnnnzN06NByl5udnc2JEyeoU6dO0Yvy8OHDZGVlERYWZnG/eXUiMjKyxID1ppPrevbsydKlS3n77be5fPkyV69epWfPnhYZgiFDhhQZAYBx48ZZ/yZsiK9vE7p3H0PnziNwdq51w7yAPXt+xGAooGPHodSq5caePT/wzjv3AdCp0zBGjXqppGLtiqCgW3n//TOA1nI8f/4E//vfUoQQ5Ofnkp19lT59JlC7tvmKVyF33z39hmPt2g1g9uyfadCgKYmJx0lLS6Z5827XzVlwFJQh0JmMjAwuXbrEpUuX8PT0xN/fnyNHjpCTk2NRYJlTp07Rtm1bWrZsybFjxwDo3r07GRkZpKWlUbu2/S2pGx4ezvr16/n6ay2qVEkB68eMGcPWrVtZuHAhd955J0OGDLG4i+jhhx/m4Ycfton2qsTFpeQ5D598MomMjFQWL75ErVpunDq1tygtLGwEoaHVe7ltS3BxcaVBg2vxq1u27EVExKcEBLQgKmoCSUkn6dRpWJEhkFJSUJBPQUEebm6Wrb9dv34g9etr62ROmVKfjIxUPvnkgkO0qIqjDIENKE9cgY8++ogPPviArKwssrKyOHPmDF5eXvTv358tW7ZYdL3WrVtfNwyyY8eORVHL7JXPPvuM+fPn4+bmVqoj+OGHHyYsLIyuXbvSqlWrCl9rx44dJCUl0bNnz0o5nauKbduiEcKJDh0G4+l54zDjjh3vITs7nVq13AEICxuOn18ITZt2LHUcvb0TEHALAQFaLOL+/ady5cqF61oDp07F8MILXWjatBOvvXa9j9FgKOCvv7bh7u5Ns2adSiy/WbMwsrLSyMvTaQEpG6OcxVamtHXyJ0+ezNatWxkzZgyzZt24EJaUkszMTH755RdGjRpF79692bx5c1VKtyuuXr1KamoqXl5e1K9fv1znnjp1qmhpCVdXV/r168dvv/3GL7/8Qr9+lRteWRXO4hkzgrl06RyzZ//MqlXz8PauzxNPfFdi3pwcbclkLy9tobY//viaxMTj9Os3BV9f+11z6J9/dvH7719xyy096Nnzgf9v78zjoqr6P/4+DPuqgBuiYCqammZZ5mO559JqaaaRWrmk2b5p+ZRWWpQtz1NmZS6ZkpX5VFaalvorLTNzR3NJBTdUQFFAEGHO749zBwaYGba5M4Pc9+s1r+Hee+bOZw4z53uW7/l+yy2fkrKT558fR8OGlzNjxpwSUT+zs88wZkw4gYFhzJ2bqaPq6mEsFtcg7Lk+Llq0iDNnztgNhyCEICgoiFtuuYW8vLwKx4OpTlazmswHH3zAs88+y1NPPcXEiRNJSkqibt26FcoyNnDgQHbu3Mm2bdvo0KEDXbt2JSwsrMbkeO7SZShpaclERMSQlLSa0NCr2bRJxd9PTYWkJBX6urBQpWcEFca5QQM4d64u586tpnXr7jXaEBw5ksSqVe+Tn59L1673cO5cGnv3/kZwcDiXX96tRNm//4b586/AbP6N48dh/HgYOFA1qipUtJlWra4vEaSutmGMCJyMI9fHLVu2EB4eXsL75dtvv+Xbb7/ltttuY+DAgZV6r0s5q9k777zDvn37mDBhgs0F4I8//pixY8fSvn17HnroIcaNG8fQoUNZvHixw/smJiYyevRo8vLyiIqK4o033nBqXTlzRJCfrxr1Y8dUlM2TJ1XDbjKp59RUiZSOOwwmE3h7m7lwoaTTQIMGF+jTx49//UulraxpHDmyi1271hAV1Zr27W8kKWk106f3oW3bXgwf/g6+vv40bNiSvXsFCQlqZFSnjgpdffKkukdcHIwbp1+Mf2ej54jAMAROprw4+qV5+eWXmTJlCtdccw0tWrRgwIABDB8+vNz3SUxMZOTIkTbXAfz9/QkNDWXVqlV06FAz54R79erF2rVr+emnn+jTp4/NMhb//3nz5rFgwQJ69erFiy/ajGkIuMZwVtcQFBaqe/z5J+zYURxm2RHBwXDZZRARASEhBSxb1hdv7+O89dYewsNh5cq3WbRoCtCa22//g7VrTZzTPE6FgNatoX17dY/YWAhV+7JITd3Pb799RufOg2jSpOKxnNzBkSNJfPnlv4mObss337yKEF68/noBU6YIcnOhe3cYPVoZxs2bYe5clYDH1xduvRX69i3+3LZYtux1fvjhLW67bRI33/yk6z6YFcbUUA1i+vTp3H///Vy8eLHonKO8ArfeeiuNGzdm9erVLF68mIYNG7Js2TI2b97MxYsXOXbsWJkpH0uDZm8xOC8vj7y8vDJTVDWJZ555hsGDB9Omjf0EKgMGDODo0aPk5+eTnJzM1KlTmTdvnt3pMUc7locOHQqo0NZ6Ykk2b531C+DUKZWictUqNQKwEBsLl1+usnNFRkJwcBZ5eTk0ahRO06a+lA6WmpeXx48//oGPjx/166tzDRo0JyjIh1atGjF0qInBg9V7/forbNmipk40hzO8vKBzZ+jTB/bs+YqlS6eSnp7MuHHzda2X6tKkSTueeuob8vPz2Lx5GWZzCG+/rYxA585w3325zJhxB15eXkycuJzWreHTT2HdOli6FL75Bpo1UzmMLZnZrB979lzFuXN3kJQUTZ06qkxgoEqMEx5evAZTUzFGBDqQkJDAc889BxS7PkZFRbFmzRp69OhB7969i8paz/GHh4fz6KOP8t5775Genm7z3l5eXuVGj4yOjmbTpk1ERETUqIiaVcFWL18IgZSyqO5BGQFbIzVr5s+fz3333VctPdYjgtOnYf9+lRc3NVU9nzihev1eXsUNSHZ2yWQ29evDzTfDVVepxt+an3/+iLlzx9Gz5yjGjp3Dnj3r2LFjFe3a9aZNmx7l6svJySQtLZmAgFAaNLiM7GyVHzkpSeVI3r+/OIWkv38BXl5phIX5ERBQQFhYPUwmga9vcaPn61ucktHHRzWaZrNlSqo4LaeXl5rqKihQxxcuqGNQhvHChWIjaZ2208dHNbh16qiGOiZGrXXk5iZx7txxGjduU2at49AhmDNHZYqLiYGXXgKT6SLDh/vi5WXi00/zMJlUH3j3bvj88wz2769LdYIxWwyCn18Bfn7eBAYq7VCcwtKSttISF9HLqzi1pXUKUOtUldY/dT8/6NYNHn+8ahqNEYGLmTBhQlHWMcu8/0svvcS0adMQQhQZgtKNWEZGBlOnTsXf39/uvcszAoGBgSQkJNCwYUMnfRrPZNWqVUycOJGDBw+W6eVbOjcpKSnce++95d4rODiY7OxsCqqZNPjMGVi5Uj327i1eqC2Nj49q8NLT1QOUQWjXTjX+XboUNyK2CA+PJiJCrTMlJa3m66+nIaW5Qobgt98+Y/78CfTu/SAjR/6X4GA/OndWvWZQBunnn2HDBjh50htohKcMLDdsKP5biFZICU2b5hMXp0ZMYGb/fti71wsp1VTKk0+qBhR8eOKJpURGxpRwxGjTBgYO/IMZM+7hsssepk+f6UWGyPIoLFTPFkOWk5PL5s2/AnWoV689WVkB5OXB8eOgd5N6/HjVDYEjdB0RCCH6A/9FZSibI6VMKHX9SWA0UACkAQ9IKR1222rCiGD//v0EBgbSsGHDoqmGX375hV9++YVu3brRo0cPwP56QlUxmUyMHTuW5cuX12gvIiklS5YsITQ0lH79+tn0oPryyy+5++7qBwELDAzko48+Ij4+vtqZuwYMgB9/LD4OCIAWLaB5c2jYEKKjoUkT1Yu+eFEZivPnVaMfFVUykXlF2bNnPTt2rKRduz60adPdZpnU1H1s2vQ10dFtkVLyxReTOXp0F0II5s49azOpi5TKsOXkwJdfvsmRI8fo2XM0UVFtS6xb5OcX9/ovXlQNpclU3IhaRgtmc3GCdymLE9BDcfJ3S6L64GBVJ9YjhLQ01cM/elRNo9kzsqBee+ONMGiQGk2Uh9lcSG5uFlJKgoPL9xyTUpKY+AynTx/j0UcXI6XSuGfPQd59dzTBwVH07v0UP/zwAfHxb+DrW4fCQvX5zObi0Y7ZrIyM2VxcR6W/gtbfiaAg6NkTtFnMSuOWxWIhhAnYB9wIHEXlMB4mpdxtVaYnsFFKeV4IMR7oIaV0+OuuCYagXr16pKenc/LkSepbJmptYM/DqCoEBgYycuRIFixYUOO9iHJzcwkMDMTX17dEDmdrpk2bxgsvvFCt9zGZTCxYsMBpdTN7tnq0basWXxs1qlrjXh1Onz7O++/fS0REEx56aAEAc+eO5+efPwRg8WLJ2bOneOKJFhQUXGTevLM2dyj/9NMHREW1Lornb5lK8RTy8tR024kTym02IyOT7757E0ghPHwbTZs2YeLE5eXep6KcPXuKJUteYM+edbz55u4S1zZt+pr9+//g5pufIiAglLS0ZD7+eAx7965n4sQVXHmlc4JH1tTF4muBf6SUBzURnwO3A0W1KKVca1X+D6D8cXwNICoqivT0dJYvX86AAQNo0KCBzXL2gqtVhdmzZ1c4fLOnc/HiRe666y67RjIxMdHu4ntlMJvNTq2XsWOVAXBnYpoDBzaye/daWrW6vujc4MEvkZWVTt++DwMQFlafV175k337fsPb25e8vBy2bPmOzMwT3HTT45w/f44FCx7DbC7kww9PlgjLrDcFBRdZs2Y2V155E/Xr288Z4e+v1gwsaSWkDGPYsFdITt7K889fTUhI2abt5MkD/PHHEgID69Cp0+2EhTXg/PlMgoPL95/18jKxZs0cIiOblrl26NAWvvvuDXJyzjBmzGwaN27NwIGTKSjIp0WLayv+4d2IniOCwUB/KeVo7Xg40FlK+bCd8jOBE1LKaTaujQXGAjRt2vRqZ06n6EXfvn356aefWLFiBf379yc5OZm0tDRiYmKKRgmJiYkMHz682qMCi2tqRcI3Xwo4a0rNUm+fffYZixYtYtiwYRVy3XWE3juLn322Pd7evkye/DNBQSrnRGrqPlJT99G2bS98fPw4cGATBQX5ZTZW2SMj4wgPP9wUP78gPv44g9zcLH744U0yM08wfvwnReVycjIxmbxt5kN2FuvWLWTWrBFERsbw3nvJdstJKW1O5RUU5HPmzHGAonDSFrZvX0lCQsneefv2/ejX72E2bPiCq666lS5dhth9zz///B9ZWRn07j2mxPl//vmT77+fwahRH1Y4yF1V0HNE4BGhKYUQ9wKdgBm2rkspZ0spO0kpO+kRCyYxMZHY2Fi8vLyIjY0lMTGx2vfs3r07d911V9Fu1bfeeotrr72WL74oDgUQHx/PuHHjyp2bdnTd2jXVeqOaNfbOVxY96qkqWHINVwfrejt48CArVqxg79691b6vnhQU5HPkyE5SUrYREFAcTPCddwYxY8atHD++By8vEy1bXldhIwAQEdGEnj1HMXjwSxQWXiQ0NJJhwxJKGIF58yYwenRd/vzTfi4NZ2BZBC9v1/Nzz3VkxAj/EgH1wBKMLraMEQBo2rQ9AwY8Ttu2vYrOpacnk5y8jfXrF3H48HaH73nttXeWMQIALVpcy+OPL9HVCOiNnlNDx4AmVsfR2rkSCCH6AJOB7lJKl0d0Ku25k5KSUiYtYlWYPHlyieMmTZrQqVOnMt48s2bNomvXrkXujRbXRwul5/gdhZSYPn26zQ1TzphG0auebJGfn4/ZbLbrPWVvSq103ZUmODiYnJycMvU2ZMgQOnbsSMuWLZ3zAXTCZPJh5szDnD17qkQo5FatbqBu3ahq3Xvs2DmAmi6z1duOiGiCj48fZ8+erNb7lEeLFp2ZOfMIYWH219bM5kKysjIoKLhIVFSrIt0zZtxCQUE+kyf/bPN1des2YsSId4rKHzv2N9HRbTh6dBeRkU2Jjm7r1M+yceNSDh78izvu+LfNBXlPQs+pIW/UYnFvlAHYBNwjpdxlVaYj8BVqCml/Re7r7MVie9MMERERBAcHV9r7ZuPGjcTHx9O9e3fmzp1baT3VjR2UmJjIpEmTOHbsGPXq1ePtt992SkNd2R3T1WHJkiUMGTKEIUOGlBhBWbC3Q3jkyJFFHlOWQHSnT592qfdU6amh779/kx07VvHMM9+VSCepB0uWvMjJkwfp23cCcXFdKv363NwsZs6MJy7uX9x++6QS1/LysvH29rUb+trVSCk5e/YkdeoUd6zGjIkkOzuDdu16c/31w+ne3b2hxp99tj1HjuzklVf+oEWLztW+X42cGpJSFgAPAyuBv4EvpZS7hBAvCyFu04rNAIKBJUKIbUKIZXrpscZ6isPeXHNGRgYpKSlIKYt6vxWZCklLS+PAgQOcOHGCCxcucObMmUppi4+PJzk5GbPZTHJycqUbr/j4eD7//HOklDRv3txpjZ+96RhnTNOUJi8vDx8fH4KCbPei4uPjmT17NjExyic8JiaG2bNnM2vWrKK6S09PJz09vcr16CwSE59h586f2LnTdi/VmWRlZfDbb4lkZFTtf5KWlkxWVhrLliWQnV3ye+vvH+wSI5CQMICnn25DSsoOh+WEECWMAMCYMbO5884XSEpazfbtttNXnj17iqSkNaSm7is69+uvn3LkSFL1xZeiR48HuPPOFwgJ8fzQ5rVuZ7Gt3mRFqUjvNzc3lyNHjrB27VrGjRtHnz59XB5OOiUlhfHjx9O+fXsSEhLKf0EFcOWIACyJRArx9tbfbXHv3r2sXbuWli1bltj1XRVKjwgOHdrK2bMnaN++b7UzW23btoJt21bQsePNdOhQtmt44MAmfv99McOGJVSp0f7xx3fZsuV7HnhgFg0bVi93c1V55JFY0tNTiI3tyLPP/kDdupWLCJeauo/t21fSoEFzOna8qcz1l17qxp4962jYsAXvvLOfPXvW8dJL3WjW7Gqeeuobj47IWiNHBJ6KLRfLilKR3m9AQABxcXFce+21eHt7c/z4cWJjYxFCYDKZeOKJsomznU1MTAzLly93ihGwjJ5sGQFnrT/YQgjhEiMAajpv/PjxLFiwwOn3btasI1deOcAp6Q3//vtXVq58jwMHNtm83rz5NQwf/naVe+79+z/K88+vsmsEvvrqJZ5+ug1btnxfpftXhFdf3YzJ5ENy8lYyMo7YLDN16g28+mpfTp8us+RIo0Zx9O//iE0jAPDAAx/QuHEb7rtvJqASznTteg+pqXvJyanc6P1SwrN2ibiA8hpzk8lkN5hbZbxvdu3aRWhoKLt3F28+MZvN/Oc//+HChQvMmjWrwvdyF45GT9HR0SQkJNSo/Qn2aNWqFQ8++CCdO1d/HldPrrlmIGFh9YmLs5+EXU+ystI5duzvEtMqziYkJILHH19Cfn4u9etfVuZ6Xl42+/b9hpeXqUSi+YrSpElb3nyzaJkSX98AHn44EbO50Om5iM3mQo4d20NWVrrdXd+eQq2bGnLkg+7I66SiO3S/+OILFixYwJo1a+zuihVCsHDhQl0bUSklmZmZBAcHVznwnKO6+vXXX7nhhhuqI9Eur7zyCuvXr2fSpEnVzhjmaqynhtavT2Tt2rmcOnWArl3jGTr0VY4c2cXnnz9H69Y3cOutz7hVa2U5efIAeXnZNGjQXNe9BI6QUnL69DFSU/fSrl31pvH05vz5c4waFYavbwCffJJT7RAmxtSQE5k+fTqBpQKQBAYGUrduXYeuh5YduuUtGK9atYoVK1bYNQKgvsyl3UudTZcuXQgPD2fr1q1Vvoej0ZOj0BnVITExkddee41Vq1YxZMgQt+1VcAabNy9j9+61pKcfJilJ5Z8+dmw3W7Z8x+LFEzlx4h83K6wcDRo0Jyamg25G4J9/NvLRR6NYt26R3TJCCCIioj3eCAAEBobSrNnVxMV15cIFD4ncZ4daNzVk6YWPGTOG3NxcQM3rZ1jHAbZDRXznhw0bxrx588q9lx7eNtaEh4cTEhJCVlZWle9hz18/JiaGVq1aVUeeTSxTUZb/S3p6um57Fay5cOEC6enpmEwmp0Zt7d37QerVi8XfP5gOHdSO1latrqdOnUZkZqby11/fcMstT1foXpmZJ9m69QeaN7+Gpk2vcJpGd5OXl8PRo0nExl5FcvI2/u//5nH69FG8vEzUrduoRETVwsICvLxMVe5ZW8I925n51YVXX/XsuGgWat2IwIJ1yIWMjIwKf7ksIwN79OnTh5iYmHLv46zdvvZYtmwZ586dq5YXzLRp0/AtlfnE29tbtwViR7GS9GTDhg1ER0czbNgwp963Xbte3HPP69x55ws0b34NoDY1xcfPoEOH/oSHV9xDZd++35g9exSJifank3x8ICQEmjZVUU9btIArroCOHVW45ZgYCAur+ucxm80sXfoys2ePdlrIkuefv4oXXriOY8f+pk2bHowa9SEREU2ZOfMefvrpgxJlV6+ezbPPXsHmzd9V+n0aNlQhvq++WmVi0zn/UI2j1o0Itm/fzpgxY8pM3VRmraS83rytHb7W6OltY8EZHjfdunUj35I9RCMsLIxTp07x119/sXfv3mptfiuNK/cqWBMUFERUVFTRJjS9uf76eK6/vnL1FBZWjxtuGErbtp0JD1dhmwMDVQ/Xz0+FbnYU6dTPT6VibNRIJcJJTS2ZDKcieHl5sXLle2RlpTN48MuEh1dvN/PixZOKFp7z8rKIiWlPVFQrDh7sxPnzZ2nVquSi+MWLeRw9uouLFyuQv9OKevVUpjcL9esrg7lvH2iDT11RrtAFeHt7bpKoWrdYvHDhQkaMGGH3uiOvIQuOfOd//vln/Pz8OHjwIFOmTHHrLtfqkpyczIgRI9iwYUOZpC0+Pj4UFBSUMaBBQUH4+/tz+vRpm58bsGs8XL1XQQ8si8UnTx7gn3/+pFmzqzh9+hgpKdvo1Ol2tm5dTkhIBNdccye+vvYTEHl7q8XBevUc59KtDhcuqNj+aWnF2cLKY+XKmXh7+3HddXcVBb2rKs8/34lDhzYzZcqvReGuHVFYWMCHH97Pgw/Oq3CjGhyswoLbGvAXFqpsZnaSATqF1as/ZtGiJ+nVayzDh79VrXvV1DDUHknPnj2JjIy0mQqyIkbAUW8+MTGRESNGYDab3e5euW7dOl588UWCgoJISkqqUq89NjaWw4cP28zcZZ2T2ZqcnBxycnIASqy7pKSkcP/99yOEKBplpKSkMHz4cO699167de+K0VPpdKFQceNV+vUNGjRl0KDpnD59lMWLJ9Gz52jOn89k48avCA2tz6JFT1JYWMCCBec5ffo4ISERJUJPmExqaqd+ff1z4Pr5qUQ5TZqoxCrZ2SoZTWam/df062czeHCVePTRz0lO3kpsbEdAxebx8wuiTZvu+PoGlClvMnkzYcLCCt/fy0tNj9mrR5NJXa9fX2X+OneuZGpIZ+DvH0xeXjaZmanOvbGTqRUjAssPNSUlpajBsecqWl7gMkvOYOtyts6Be5PCTJo0iddff91hGYtuS53ExMRw0003lchw5s6Q35acw3rWX3k7zX18fEoYL1DfkXHjxtG1a1cee+yxMo4Gvr6B9O07gSNHdtKnz3iyszNITt7KNdfcQVLSj2RnZ3D8+H527/6VqVPX07p1V0JCICJC5b0t7e2bl5fLoUP7adHicpfkoM7KUiOFjAznN4z2OHMmlccea8bFixeYPTsdf/9gzp07RU5OJp988gg9ejxAt272R/K2uOwy1chXFLO5OB2lddaw0s+Fhepx8aI6vnBBJcqx1TfKy8uhoCCfoKA6Hu0+eskbgqqElCjPGFQGd0xrJCYmlvCKqok4O3uYPZydLtRCZGQMH36YTFiYmp4IDFQPy9LNE08MZ+3aH3j99U+48cbbHM7vL1/+FRMm3EXHjtfxv/9tsF9QByz5egsKVEN49uwZZs58EbPZzOTJ71NYqM5DcWP599+bqVu3HvXrNy3qjVsSt1uOTabiBdvhw7uwY8cfDBo0muzsTGbOXELXrlGcOpXKXXeNYsmSudxxxyiefHIO2dlqXt+Bdza+vsoI1KnezFWlsaShlLLYmIA6ttSR5W/rh+V8eQQHw+WXV11frZ4aqkpICSklMTExHD58GC8vr3Knixyh90KnLSZPnlyjjQBAYWGhS1xH9fr/ZGQc5uqrS57LzT2PyRSAEIKEhDn4+voWdTreeON5QkPrMG7cRAA2bvyVo0cPMWjQSCIjG9CgQRR9+w7URasjLA1amplYAAARlElEQVS2nzZ7lZS0nc8/V+EZXnghgdDQEC5cyMPPr3i94777RrN79zaWLFlPp05qwXfXrq1ERTWlbl21G/iRR4ayceMvLF68FpNJjU6HDbufq67qghDQsGFjhBAMGzaa667rTsuWbYi2crIym1W+59xc1Yu3GKSgIDWqcnWKUFDvaXGy86tCoFl7yXYsVOWeFeWSHxFUJS+wdS++unmF3TEicGYuZHejd/3pNSJo0CCKP/4ojoUjpaRXr1ZcffW/eO21j0tM8WRnZ3HFFaH4+fmzbt0hzpzJoF+/dnTp0pP3319C3boRZGaeJiQkDJOb/R4LCwt5//1XiYtrS79+d3D48EEefHAgjz/+Ev3734nZbGbs2IFs27aRdesOERAQSH5+Pn36tCYgIJDFi/+P0NA6tG8fRm7ueT75ZAUtWrQhPDySgIDijZ7lNYo1ieeeG8vnn3/M+vUpNG7clN9/X8OUKQ/zwANPMGyYSnTz2WcfMXfuO7z55gI6dlShTubPf5eUlH8YO/YZoqKa4OenvL6qSq3eWVyev37pL1vpxcnq+Pu7YqHTFnruUSi9KxuUp5CXTl0wvUdUev1/TCZTCV/7Q4f2k5y8n6VLF7Bq1TclyprNZkaNeoJ33/2cyMgGxMW1ZeDAe2nRok1RD7pOnXC3GwFQn+vRR1+gf/87EUIwd+47pKQcYNKk0Rw4sBcvLy/mzFnGpk0nihr25OT9nDhxlKZNmxMSEoa3tzfffbeFt99eyA039KVx46YljAA4zspX00hJUTvIDx1SrrJZWWf555+/+fDDhKLvSHr6KQ4e3Mvs2W8UvW7Fiq9YsOA9Dh8+qLvGS35E4GiNoHQyE3seIVUJW+2qOW5bVCfUtiMsi7e2PGj0fE+9R1SRkZEV2lleEcLC6vDAA08yfvykMgu7qalH2bz5N/r3H1TuPo/c3PP8+ec6unevxuqgi8jPz+f48cPExDS32YDn5+ezc+dfdOhwrcsiynoSu3dv4/ff1xAfP46AgEDOncvkyJFDJabKjh5NIS0tldat2xcZxR9+WMKpU8e58caBREfH6Doi0NUQCCH6A/8FTMAcKWVCqet+wKfA1UAGcLeUMtnRPZ3lNVQZj5TKeB2Be72FLNhyibTsoC7t7VQRKvKZrOupdP1Yju3Vny3vHFfVozOMmMWT6JVXZlGNqB4GBnapkVNDQggT8D4wAGgDDBNCtClVbBRwRkrZAngHcOzvWEUsWb+klEWboCqTtcrW6y25XaWULFq0qEy2LHdvGLPOdGbJ1lVad2FhYQn9QNH0Q0REBBEREZX6TNb1tHDhwhJ1snDhwhL1V/r6/PnzmTdvnlvq0VbGs969e9ucNhw/fnyZurJ8vpoQWtzAwBZ65izuAkyVUvbTjp8DkFK+ZlVmpVZmg5bj+ARQTzoQ5eycxQYG9qhK/uiMDIwRgYEu6Dki0HPCrjFgnWLoKFA680dRGSllgRDiLBAB6Ljp28CgYsTHx7t9ZGdg4ApqhNeQEGKsEOIvIcRfaWlp7pZjYGBgcEmhpyE4BjSxOo7Wztkso00NhaEWjUsgpZwtpewkpexUr149neQaGBgY1E70NASbgJZCiGZCCF9gKLCsVJllwEjt78HAGkfrAwYGBgYGzke3NQJtzv9hYCXKfXSelHKXEOJl4C8p5TJgLrBQCPEPcBplLAwMDAwMXEiN21AmhEgDXBUSMxLPXLg2dFUOT9UFnqvN0FU5PFUXFGuLkVLanFuvcYbAlQgh/rLnbuVODF2Vw1N1gedqM3RVDk/VBRXTViO8hgwMDAwM9MMwBAYGBga1HMMQOGa2uwXYwdBVOTxVF3iuNkNX5fBUXVABbcYagYGBgUEtxxgRGBgYGNRyarUhEEKEuVuDLYQQIe7WYAtPrS8AIURdd2uwhRAiwt0abGHUV+W5lH+XtdIQCCGChRBvA/8TQjwuhLjS3ZoAhBBBQoj3gaVCiHuEEM3crQk8t74AhBCBWp39KIR4RAjRUTvv1u+2VmfvAD8IIaYJIXq6U48Fo74qT234XdY6Q6BV1iogH5iC2mzxkFtFFfMyEApMAzoCCY6L64+H1xfAk6iItSMBf+AjACllxTLu6IAQoiXwNVAIPACkAc+7S08pjPqqPJf877LWGQLgLPCBlHKSlHI9sA4o1Ky+yxOlasH2EEIEAyHAq1LKX4HpgJcQ4t+u1lQKj6ovACGEv/bsDfgCn0kp90gpZwBpWs/Snb3cHGC2lPJpKeVuYDmQKoSIdocYo74qT237XV7yhkAI0VII8azlWEp5CNX7sHAeiJNS5rgy4J0QorUQYj7wshAiRkqZDdQF7tF0ZqIytg0WQjR0oS6PrC9NW5wQIhF4TwjRSUpZAAQDXayKjQOGCyGiXdXLFUK0EkIUZR2XUh4HVlgVCQRaSymPukKPlS6jviqvrVb+Li9pQyCEuAdYAzwjhBirnTNp/1wLlwG7XKwrApgPJKEC8r0qhOgDPAcMEUJY4oHsAP4PuNlFujyyvjQdAahpjO2oepkghBiF+lGOE0JEAkgpjwCLgDEu0nUz8D/gaSHEJO2cd6k6Cwf2ukKPlS6jviqvrdb+Li9pQ4DKijYSuA315Q+UUhYKheWzXwZsARBC3C6EiHGBrtbAeSnlW6gv2QrgbtSX73+o/M1IKfNR86auysbjqfUF0BzIkVK+IaV8D5gD3AEEAB9QctPMPu2z4ILpq5NAPBAHTBRCBGuRd72s3rsN2o9UW2yM01kTGPVVFWrt7/KSNgTanN46KeUGYCcwVbvkZTUMvgJoIoRYBtwLFLhA2hbATwhxtabjN1TKzjs0jdcJIcYJIfoB3QCXDNk9uL6QUiYBsUKIbtqpHcBq4FlgMhAuhJgihBgCjAZytdfpOn0lpfwL2COl/Af4EfhQuySs3vt6oJ4Q4mtUI3hRT02aLqO+Kk/t/V1KKWv8AwgrdSxslGmnVeIVVufqocKz/g7crYOuuoBPaV0oD4TngWlW124H/qP93RV4AvgDiHeVLnfXl/YevjbOeWnPjwCLrM5ficppEYnqYY5AeVLoUWdldNn5v2YC11hd80M1wpuBITroqgN4W2vxkPoqo8sT6kt7j3Ag0I4ed/4ubeoqVUaX36XTK9nVD+DfwDZUL+du7ZzJTtmXgbna39dqz/fppGsKcBg1BH/UxvU+2o/yFu04DvgL8Ne5vhzqcld9afd+HTVt0Uw7FqWutwCWAiO14whU4qOGOteZQ13W3zngBWCt9nd/7XmgTrpe1BqFD4GHrXW4ub4c6nJXfWn3/jewG5gHTLJRZ+76XTrUVaqs03+Xun0wVzyAscB3qHzIHVFzdi0clPdBWc5s4BW0npMOuv4F/IzqYVwJ7Ae6lioTiuqRbUHlbR6M8gKI1LG+ytXlpvoyAU+hFgjnAA84KNsXOABcBQwB1gJNPUCXdY+3AMgC/ovVyMuJuuqgDPlnqLnhG4BUSwNfSosr68uhLnfVl/YeYShjvlhrLzqgcqaHaNctoyiX/i7L02XnNU7/XTr9g+n9AEK1ZxPwBnCH1bWfgR9sfelQw6dlqFzK1+ukzdLL6QwsQetFAI8DC4DGNl7zArAQ1YPq4gm6XFVfpd4zBtVjHQG8BXSyaLFRdjzwLmr6wK4hc4OuSOBjYKueulALvreWOjcP6GenvEvqqwq6XFJf2nv5oI3otOPbUSOWMsZTO9b9d1kRXaXK6va71K3idaiwutqXxrKS74/qrX0BNERt+vgPypr21l7jZfV6X7Shp5N1RQCzsOplAT21cy0sOoDvgXu0YxMle0SBHqJL9/pyoM1He45GTcU8CQRo54T1s6UOPUWXVVlvPRo0O7qCrf4O0RqGZqVe5476KleX3vVlT5t23ktrP1JQPfH1FE9JueV3WQFd+rdjevwTdPrHfqQ9eqIa/I+18x+j/KB3axU5AUgs9doyvTcnaWoD/ITyaphrdd4b+ArViwzUzsUDf7iorqqlS6/6cqStVJlBqB5sXxd+v2qyrnCUB44u0yo1SVdFtAGXWf19L/B3TdCl5++yRriPChX1zweYLqVci1osiRZCjJZSjkEtTg2QUn4BZKAWd4p8oqVWizpwFngJNc93vRDiBu39ClDG6SbAkiv0KyBZuCaCZ7V06VhfdrVBCR/21agF7XZCiEeFEHfrqKfG6rLiMiBLSnlRCDFYc2+srbrsarP43EspD1qV/RI4LISo7+m69Pxd1ghDIKXMQs3VDtKOT6OG6Q8JIcKklAellClCiObAKOC0Vk7PBg0p5TFgq5TyPGqRbKrVtW9Qw+LxQsUlWQ6ck1Ke1VOTJ+uqgDYphBBSbePPAiYBjwJnDF1ldVnRG+X/Pg94Gm1PQG3U5Uib1HzuLYZdqGB3XwL7pZSnaqsuiziPflC80Hk9ardhkHbsj5pLG6od3wHsAZ5yo9bNwCirY1+gPfAmmhudocuxNu1cDGqu1GP+lx6u633UxqcHDV3la0PFMnoMLfSGocuD1ghQOx7v1f62XrDxonixcCEq4p7l2kzgRu3vxujg6+tIl9Xf3trzrahpKS/gTjRvHHSY2/NUXU7QFqWd9zN0latrECqI3HXos7DpkbqcoC0MFYLD0+pMN13l6nb1G9qouBBUzzQN1dsKs7pmXZFNUD6+ycB9qIBPm4E+btYVV+p1Saiwut8CDWqLLidpW+ahdeapur4H6tUWXU7S9p2H1pkuuiqs321vXGwVTcDN2t8LgTetKw/ltrcY+FY77o2ab9wADPIAXUuB+igf6ieBg8DttUWXJ2szdF0aujxZm6fqqvTncPkbKhfGN1G7CPtaKlF7jgEOAW2tyg8Gnq0JurCK/3Gp6/JkbYauS0OXJ2vzVF1VfVislUvQVsXfR03xrEBN8XwDzJFSXtDKJACtpJR32Hi9SUpZ6IG6vKVyzawVujxZm6Hr0tDlydo8VVe1cKXVQVXc7xTH9+iHsqj3WpXxRa2adwHaAr2083pucjJ0XSLaDF2Xhi5P1uapuqrzcOk+AinlOYoXe0HF+94K/Etoad+kSvrwqXZtKSq+BlKrRUOX+3V5sjZD16Why5O1eaqu6uCODWVfA1cKIRpJlWptB5AHNAIQQvRApc17TUrZWkq52tDlkbo8WZuh69LQ5cnaPFVXlXCHIViPCqF6H4CUcgtwLWozBagNKDdIKScbujxalydrM3RdGro8WZun6qoS3q5+QyllqhDiWyBBCPEPKtxBHioHKFLKA67WZOi6tLQZui4NXZ6szVN1VRl3LExo02QDULHK9+DmMAeGrktTm6Hr0tDlydo8VVdlHy51Hy2NEMIHtX7iUa5Uhq7K46naDF2Vw1N1gedq81RdlcGthsDAwMDAwP3UiDDUBgYGBgb6YRgCAwMDg1qOYQgMDAwMajmGITAwMDCo5RiGwMDAwKCWYxgCA4NyEEIUCiG2CSF2CSG2CyGesiQcd/CaWCHEPa7SaGBQHQxDYGBQPrlSyiullG2BG1GbiKaU85pYwDAEBjUCYx+BgUE5CCGypZTBVseXoUIKRKKSkCwEgrTLD0spfxdC/AFcjkpQsgB4F0gAegB+wPtSyo9c9iEMDBxgGAIDg3IobQi0c5lAKyALMEsp84QQLYHFUspOWvTJp6WUt2jlxwL1pZTThBB+qPDEd0kpD7n0wxgY2MDlQecMDC4xfICZQogrUQHH4uyU6wu0F0IM1o7DgJaoEYOBgVsxDIGBQSXRpoYKgVOotYKTQAfUmluevZcBj0gpV7pEpIFBJTAWiw0MKoEQoh7wITBTqnnVMCBVSmkGhgMmrWgWEGL10pXAeC1AGUKIOCFEEAYGHoAxIjAwKJ8AIcQ21DRQAWpx+G3t2ixgqRBiBPAjkKOd3wEUCiG2A5+gctrGAlu05OdpwEBXfQADA0cYi8UGBgYGtRxjasjAwMCglmMYAgMDA4NajmEIDAwMDGo5hiEwMDAwqOUYhsDAwMCglmMYAgMDA4NajmEIDAwMDGo5hiEwMDAwqOX8P3RBb2XNhri8AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4372e8b6a8894e1481cbfbfe6ddb4dea",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.06142241507768631, 'log': {'agg_test_loss': 0.061430737376213074, 'agg_test_loss_p': 0.06142241507768631, 'agg_test_loss_kl': 8.320772394654341e-06, 'agg_test_loss_mse': 0.05060550570487976, 'agg_test_loss_p_weighted': 0.011549878865480423, 'agg_test_score': 0.06142241507768631}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.616317</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.046925</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.609149</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853             0.546592   \n",
       "agg_test_loss_p                 0.136680      0.308816             0.508449   \n",
       "agg_test_loss_kl                0.000092      0.009037             0.038142   \n",
       "agg_test_loss_mse               0.053102      0.044686             0.053395   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492             0.095628   \n",
       "agg_test_score                  0.136680      0.308816             0.508449   \n",
       "n                               3.000000      3.000000             2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                                    0.602573        0.616317   \n",
       "agg_test_loss_p                                  0.602573        0.609149   \n",
       "agg_test_loss_kl                                      NaN        0.007168   \n",
       "agg_test_loss_mse                                0.046267        0.046925   \n",
       "agg_test_loss_p_weighted                         0.114158        0.110414   \n",
       "agg_test_score                                   0.602573        0.609149   \n",
       "n                                                2.000000        2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_pt_mean  \\\n",
       "agg_test_loss                     0.854500         1.157510   \n",
       "agg_test_loss_p                   0.854500         1.142826   \n",
       "agg_test_loss_kl                       NaN         0.014684   \n",
       "agg_test_loss_mse                 0.067944         0.045285   \n",
       "agg_test_loss_p_weighted          0.150794         0.214536   \n",
       "agg_test_score                    0.854500         1.142826   \n",
       "n                                 2.000000         3.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean   np_mean  \\\n",
       "agg_test_loss                               1.307930  1.327100   \n",
       "agg_test_loss_p                             1.238475  1.297524   \n",
       "agg_test_loss_kl                            0.069454  0.029577   \n",
       "agg_test_loss_mse                           0.054398  0.049878   \n",
       "agg_test_loss_p_weighted                    0.237054  0.235458   \n",
       "agg_test_score                              1.238475  1.297524   \n",
       "n                                           2.000000  2.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  PL_Transformer_mean  \\\n",
       "agg_test_loss                        1.507506             1.546630   \n",
       "agg_test_loss_p                      1.507384             1.546630   \n",
       "agg_test_loss_kl                     0.000121                  NaN   \n",
       "agg_test_loss_mse                    0.223373             0.066195   \n",
       "agg_test_loss_p_weighted             0.269838             0.294457   \n",
       "agg_test_score                       1.507384             1.546630   \n",
       "n                                    2.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                             2.030935             2.489498  \n",
       "agg_test_loss_p                           2.030935             2.489498  \n",
       "agg_test_loss_kl                               NaN                  NaN  \n",
       "agg_test_loss_mse                         0.051643             0.048283  \n",
       "agg_test_loss_p_weighted                  0.359195             0.428947  \n",
       "agg_test_score                            2.030935             2.489498  \n",
       "n                                         2.000000             2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'anp-rnn_d', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True, 'batchnorm': False, 'attention_dropout': 0.7, 'dropout': 0.1, 'hidden_dim_power': 6.0, 'latent_dim_power': 6.0, 'learning_rate': 0.001, 'n_decoder_layers': 4, 'n_det_encoder_layers': 3, 'n_latent_encoder_layers': 4, 'num_heads_power': 2.0}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=anp-rnn_d, trial=<optuna.trial.FixedTrial object at 0x7f8ded906828> params={'learning_rate': 0.001, 'num_heads_power': 2.0, 'hidden_dim_power': 6.0, 'latent_dim_power': 6.0, 'n_latent_encoder_layers': 4, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.7, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_d/version_-1200/_ckpt_epoch_10.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bd567f7b28524d329335a8e7fa5c09f7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': -0.056739699095487595, 'log': {'agg_test_loss': -0.05025927349925041, 'agg_test_loss_p': -0.056739699095487595, 'agg_test_loss_kl': 0.006480430252850056, 'agg_test_loss_mse': 0.0416790172457695, 'agg_test_loss_p_weighted': -0.012132854200899601, 'agg_test_score': -0.056739699095487595}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.507506</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.223373</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.269838</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.507384</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853        0.394125   \n",
       "agg_test_loss_p                 0.136680      0.308816        0.387186   \n",
       "agg_test_loss_kl                0.000092      0.009037        0.006939   \n",
       "agg_test_loss_mse               0.053102      0.044686        0.045177   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492        0.069565   \n",
       "agg_test_score                  0.136680      0.308816        0.387186   \n",
       "n                               3.000000      3.000000        3.000000   \n",
       "\n",
       "                          anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                        0.546592   \n",
       "agg_test_loss_p                      0.508449   \n",
       "agg_test_loss_kl                     0.038142   \n",
       "agg_test_loss_mse                    0.053395   \n",
       "agg_test_loss_p_weighted             0.095628   \n",
       "agg_test_score                       0.508449   \n",
       "n                                    2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                                    0.602573   \n",
       "agg_test_loss_p                                  0.602573   \n",
       "agg_test_loss_kl                                      NaN   \n",
       "agg_test_loss_mse                                0.046267   \n",
       "agg_test_loss_p_weighted                         0.114158   \n",
       "agg_test_score                                   0.602573   \n",
       "n                                                2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_pt_mean  \\\n",
       "agg_test_loss                     0.854500         1.157510   \n",
       "agg_test_loss_p                   0.854500         1.142826   \n",
       "agg_test_loss_kl                       NaN         0.014684   \n",
       "agg_test_loss_mse                 0.067944         0.045285   \n",
       "agg_test_loss_p_weighted          0.150794         0.214536   \n",
       "agg_test_score                    0.854500         1.142826   \n",
       "n                                 2.000000         3.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean   np_mean  \\\n",
       "agg_test_loss                               1.307930  1.327100   \n",
       "agg_test_loss_p                             1.238475  1.297524   \n",
       "agg_test_loss_kl                            0.069454  0.029577   \n",
       "agg_test_loss_mse                           0.054398  0.049878   \n",
       "agg_test_loss_p_weighted                    0.237054  0.235458   \n",
       "agg_test_score                              1.238475  1.297524   \n",
       "n                                           2.000000  2.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  PL_Transformer_mean  \\\n",
       "agg_test_loss                        1.507506             1.546630   \n",
       "agg_test_loss_p                      1.507384             1.546630   \n",
       "agg_test_loss_kl                     0.000121                  NaN   \n",
       "agg_test_loss_mse                    0.223373             0.066195   \n",
       "agg_test_loss_p_weighted             0.269838             0.294457   \n",
       "agg_test_score                       1.507384             1.546630   \n",
       "n                                    2.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                             2.030935             2.489498  \n",
       "agg_test_loss_p                           2.030935             2.489498  \n",
       "agg_test_loss_kl                               NaN                  NaN  \n",
       "agg_test_loss_mse                         0.051643             0.048283  \n",
       "agg_test_loss_p_weighted                  0.359195             0.428947  \n",
       "agg_test_score                            2.030935             2.489498  \n",
       "n                                         2.000000             2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'anp-rnn_extras', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': True, 'batchnorm': True, 'attention_dropout': 0.4, 'dropout': 0.2, 'use_lvar': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=anp-rnn_extras, trial=<optuna.trial.FixedTrial object at 0x7f8dec591320> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.2, 'attention_dropout': 0.4, 'batchnorm': True, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_extras/version_-1200/_ckpt_epoch_0.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ad0a1b3a23554d6b8611b9be4d904818",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.05123665928840637, 'log': {'agg_test_loss': 0.052775900810956955, 'agg_test_loss_p': 0.05123665928840637, 'agg_test_loss_kl': 0.0015392445493489504, 'agg_test_loss_mse': 0.052192091941833496, 'agg_test_loss_p_weighted': 0.009428323246538639, 'agg_test_score': 0.05123665928840637}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.307930</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.069454</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.054398</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.237054</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.238475</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853        0.394125   \n",
       "agg_test_loss_p                 0.136680      0.308816        0.387186   \n",
       "agg_test_loss_kl                0.000092      0.009037        0.006939   \n",
       "agg_test_loss_mse               0.053102      0.044686        0.045177   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492        0.069565   \n",
       "agg_test_score                  0.136680      0.308816        0.387186   \n",
       "n                               3.000000      3.000000        3.000000   \n",
       "\n",
       "                          anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                        0.546592   \n",
       "agg_test_loss_p                      0.508449   \n",
       "agg_test_loss_kl                     0.038142   \n",
       "agg_test_loss_mse                    0.053395   \n",
       "agg_test_loss_p_weighted             0.095628   \n",
       "agg_test_score                       0.508449   \n",
       "n                                    2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                                    0.602573   \n",
       "agg_test_loss_p                                  0.602573   \n",
       "agg_test_loss_kl                                      NaN   \n",
       "agg_test_loss_mse                                0.046267   \n",
       "agg_test_loss_p_weighted                         0.114158   \n",
       "agg_test_score                                   0.602573   \n",
       "n                                                2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                     0.854500             1.022596   \n",
       "agg_test_loss_p                   0.854500             1.022002   \n",
       "agg_test_loss_kl                       NaN             0.000594   \n",
       "agg_test_loss_mse                 0.067944             0.166312   \n",
       "agg_test_loss_p_weighted          0.150794             0.183035   \n",
       "agg_test_score                    0.854500             1.022002   \n",
       "n                                 2.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                    1.157510                    1.307930   \n",
       "agg_test_loss_p                  1.142826                    1.238475   \n",
       "agg_test_loss_kl                 0.014684                    0.069454   \n",
       "agg_test_loss_mse                0.045285                    0.054398   \n",
       "agg_test_loss_p_weighted         0.214536                    0.237054   \n",
       "agg_test_score                   1.142826                    1.238475   \n",
       "n                                3.000000                    2.000000   \n",
       "\n",
       "                           np_mean  PL_Transformer_mean  \\\n",
       "agg_test_loss             1.327100             1.546630   \n",
       "agg_test_loss_p           1.297524             1.546630   \n",
       "agg_test_loss_kl          0.029577                  NaN   \n",
       "agg_test_loss_mse         0.049878             0.066195   \n",
       "agg_test_loss_p_weighted  0.235458             0.294457   \n",
       "agg_test_score            1.297524             1.546630   \n",
       "n                         2.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                             2.030935             2.489498  \n",
       "agg_test_loss_p                           2.030935             2.489498  \n",
       "agg_test_loss_kl                               NaN                  NaN  \n",
       "agg_test_loss_mse                         0.051643             0.048283  \n",
       "agg_test_loss_p_weighted                  0.359195             0.428947  \n",
       "agg_test_score                            2.030935             2.489498  \n",
       "n                                         2.000000             2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'anp-rnn_extras_no_det', 'params': {'det_enc_cross_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'latent_enc_self_attn_type': 'ptmultihead', 'use_deterministic_path': False, 'batchnorm': True, 'attention_dropout': 0.4, 'dropout': 0.2, 'use_lvar': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=anp-rnn_extras_no_det, trial=<optuna.trial.FixedTrial object at 0x7f8d6e3c0198> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.2, 'attention_dropout': 0.4, 'batchnorm': True, 'use_deterministic_path': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_extras_no_det/version_-1200/_ckpt_epoch_0.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "94222143d0d44e2aa82dbcac6d4876dc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.4192434251308441, 'log': {'agg_test_loss': 0.4645308554172516, 'agg_test_loss_p': 0.4192434251308441, 'agg_test_loss_kl': 0.04528743773698807, 'agg_test_loss_mse': 0.053185004740953445, 'agg_test_loss_p_weighted': 0.0837438777089119, 'agg_test_score': 0.4192434251308441}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.546592</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.026797</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>0.038142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.053395</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.095628</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.508449</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_d_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853        0.394125   \n",
       "agg_test_loss_p                 0.136680      0.308816        0.387186   \n",
       "agg_test_loss_kl                0.000092      0.009037        0.006939   \n",
       "agg_test_loss_mse               0.053102      0.044686        0.045177   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492        0.069565   \n",
       "agg_test_score                  0.136680      0.308816        0.387186   \n",
       "n                               3.000000      3.000000        3.000000   \n",
       "\n",
       "                          anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                        0.546592   \n",
       "agg_test_loss_p                      0.508449   \n",
       "agg_test_loss_kl                     0.038142   \n",
       "agg_test_loss_mse                    0.053395   \n",
       "agg_test_loss_p_weighted             0.095628   \n",
       "agg_test_score                       0.508449   \n",
       "n                                    2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                                    0.602573   \n",
       "agg_test_loss_p                                  0.602573   \n",
       "agg_test_loss_kl                                      NaN   \n",
       "agg_test_loss_mse                                0.046267   \n",
       "agg_test_loss_p_weighted                         0.114158   \n",
       "agg_test_score                                   0.602573   \n",
       "n                                                2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     0.854500                    1.026797   \n",
       "agg_test_loss_p                   0.854500                    0.965398   \n",
       "agg_test_loss_kl                       NaN                    0.061399   \n",
       "agg_test_loss_mse                 0.067944                    0.053994   \n",
       "agg_test_loss_p_weighted          0.150794                    0.185951   \n",
       "agg_test_score                    0.854500                    0.965398   \n",
       "n                                 2.000000                    3.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  anp-rnn_pt_mean   np_mean  \\\n",
       "agg_test_loss                        1.022596         1.157510  1.327100   \n",
       "agg_test_loss_p                      1.022002         1.142826  1.297524   \n",
       "agg_test_loss_kl                     0.000594         0.014684  0.029577   \n",
       "agg_test_loss_mse                    0.166312         0.045285  0.049878   \n",
       "agg_test_loss_p_weighted             0.183035         0.214536  0.235458   \n",
       "agg_test_score                       1.022002         1.142826  1.297524   \n",
       "n                                    3.000000         3.000000  2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.546630                  2.030935   \n",
       "agg_test_loss_p                      1.546630                  2.030935   \n",
       "agg_test_loss_kl                          NaN                       NaN   \n",
       "agg_test_loss_mse                    0.066195                  0.051643   \n",
       "agg_test_loss_p_weighted             0.294457                  0.359195   \n",
       "agg_test_score                       1.546630                  2.030935   \n",
       "n                                    2.000000                  2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        2.489498  \n",
       "agg_test_loss_p                      2.489498  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.048283  \n",
       "agg_test_loss_p_weighted             0.428947  \n",
       "agg_test_score                       2.489498  \n",
       "n                                    2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'anp-rnn_no_det', 'params': {'use_deterministic_path': False}, 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANPRNN'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=anp-rnn_no_det, trial=<optuna.trial.FixedTrial object at 0x7f8dec426518> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp-rnn_no_det/version_-1200/_ckpt_epoch_4.ckpt\n"
     ]
    },
    {
     "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": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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cdEXgAjp27Mju3btZvHixq0VxK8xZR/fs2UNYWJiLpdHR8Rx0H4ELiIqK4t///reeV7+CtGvXDh8fHwIDA10tio6OR6ErgmomOzubn376ia5du+p59SvIN99842oRdHQ8Et00VM2kpqYSGxvLY4895mpR3JLHHnuMMWPGcPLkSVeLoqPjMTizMM0iETkvIn9bOR4jIntEZK+IbBSRLs6SpSbh5+fHnXfeSfv27Tlw4ICrxXE7fv31V1auXMnFixddLYqOjsfgzBnBx8BwG8dPAAOVUp2Al4AFTpSlxtC4cWP+/e9/8/PPPzNu3DhXi+NWdO3ald27d/Phhx/q/hUdHQfiNB+BUmqDiETbOL7RYnMz0MJZstQ06tWrR8eOHfUUExXk7NmzAIwdO5bg4GAXS6Oj4znUFGfxFOAHVwtRHeTl5eHr68vGjRupX7++q8VxK/bu3UtBQYGemkNHx8G43FksIoPQFMG/bLSJFZFtIrItOTm5+oRzAhs3biQsLEyvVVwJQkND2b9/P4sWLdJrFuvoOBCXKgIR6Qx8BIxVSlnNGaCUWqCU6qmU6tmkSZPqE9BJNG3alJCQEFeL4Za8+eabxMbGsnfvXleLoqPjMbhMEYhIJPAtcJdS6rCr5KhuBg0axMGDB9m+fTudOnVytThuxbRp01i3bh133303zZs3d7U4Ojoeg9NqFovI58B1QGMgCZgJ1AVQSs0XkY+A8UC86ZRCa/U0LfGEmsVpaWk0bNiQBg0akJaW5mpx3AYfHx8KCgrIy8vDx8fH1eLo6LgVtmoWOzNq6PZyjt8L3Ous69dkgoKCOHHiBHXr1nW1KG7FBx98QEFBgV7iU0fHwbjcWVzbWLZsGX369OHLL7/UzRsV5N577+XOO+/k/PnzZGdnu1ocHR2PQVcE1czZs2fZtm2bHvVSSR5++GHCwsL0FN46Og5EVwTVzMSJE/nrr784efIkDzzwAEaj0dUiuQUGg4EVK1bw119/0bRpU92spqPjQJzmLHYWnuAsBt3xWVGysrIIDAzE399fNwvp6FQClziLdWzz9ttvIyJ4eemTMnvw8vJi9OjRutLU0XECuiKoZtauXcuWLVsYPnw4vXv3drU4boO/vz8rV650tRg6Oh5JucNREfESkW4iMkpErheRptUhmKeyevVqZs6cyebNm10tilvywQcf0KtXLxYtWuRqUXR0PAarMwIRaY2W/2cIcARIBvyAtiKSDXwI/FcppXs7K8CIESMIDg4mOzub1atXM3jwYPz8/FwtVo3H7MvSo650dByPVWexaWXwPOB3VaKRaVZwB3BRKfVfp0tpgac4i5s3b87Zs2dJSEjQ1xPYQUJCAhEREQD89ddftGjRgvDwcBdLVfN5/vnnSUlJ4YMPPnC1KDouplLOYlsrg5VS54G3HSBbrWXQoEGkpqbqYZB2YjAYAIiIiNB9K3ailOKll14CIC4ujoYNG7pYIp2ail3OYhG5Goi2bK+U+sRJMnk0hw8fJjs7m3nz5un1CCpAVFQURqNRX3dRQb799luysrJ0JWAnK1as4IcffuDGG29k5MiRrhan2ih3HYGILAFaA7sAg2m3Uko94mTZysTdTUPDhw9n3bp1rFmzhhEjRrhaHLdj69at/PDDD/Ts2bNW/VB1qoeOHTuyb98+AgMDycjIcLU4DqWq6wh6AleV9BPoVI6WLVvSuXNnGjVq5GpR3JItW7Ywc+ZMpk2bpisCHYfTr18/9u3bxxVXXOFqUaoVe2YEXwOPKKUSq0ck27j7jMBMr1692L59O9u3b6dbt26uFqfGc/LkSR566CGSk5O54YYb6NOnD6NHj3a1WDWas2fP0rx5c/z8/Dh16hSeUNTJkeTlga9v8X3nzp3j2LFjhIWFeVxN8UrNCERkJaCA+sB+EdkC5JmPK6XGOFrQ2oRSCqUUhYWFrhbFLUhLS2P16tV07ty5yAGqYxtzFbfc3FyysrJqjSIwGMDb23abwkJISoLwcLDMat6sWTOaNWvmXAFrILZMQ69XpWMRWQSMBs4rpTqWcVyAd4CRQDZwj1JqR1Wu6U5s2rQJb29vPcWEnbRs2ZKVK1dSr149V4viNoSGhhIREUHr1q1rjRIAyM2F8r4mublgNML58xAWBiLa/p07d5KYmEiXLl1qVVi3MyuUXQtkAp9YUQQjgYfRFEEf4B2lVJ/y+nV301CfPn04e/Ysf/75J5GRka4Wx+1IS0vjxIkTBAUF0bp1a1eLo1MDuXAByisJnpICmZna+4AAaGrKl9C/f382btzI8OHD+eGHH5wraDVjyzRkT4qJcSJyREQuiUi6iGSISHp55ymlNgCpNpqMRVMSSim1GQgWkbDy+nV3zpw5Q0JCgj4TqCTr16+ne/fuPPXUU64WRaeGUlCgmX5skZt7+X12NqSbnmjmVf6//PKLk6SrmdgTNTQHuFEpdcDB124OnLbYTjDtqxFOaWexc+dOcnJyWLhwIbt37+b555+ne/furharxnP27FlWrlzJ4cOH6dKlC9HR0a4WqcaTmprKsmXLyM/P57bbbqs15qHCQk0ZWKtoajCUVhSXLkH9+jBv3jwWLVpEu3btnC9oDcIeRZDkBCVQIUQkFogF3N6cYv4xmuPhY2NjXSyRe3Do0CGmTp3KwIED2bVrl6vFcQuef/555s6dC0Dfvn1rjSIwGDRF4O+vjfYDAooft5wNWJ6Tng5t27YlLm52uc5mT8NW1NA409ttIvIlsJziUUPfVvHaZ4AIi+0Wpn2lUEotABaA5iOo4nVrBDNmzOD+++/XZwN2EhYWRmxsLG3atHG1KG6Dryk2sl69eoSUZzT3EAwGUEpTBAAZGZpCMDuDQRv9l0V6OmRlKYxGoUWL8q+lVPF+3RlbSecW2zhPKaUml9u5SDSwyoqzeBTwEJedxe8qpcpNIuPOzmKDwUBsbCz+/v68//77rhZHR8fjyM+Hs2fBzw9CQ+HUKS1E1JzSKyNDcyZbY9y4fuzcuZl33pnPI4/cb7Wd0QhnzkDDhhAY6OAP4SQq6yz+CXhSKTWpjJc9SuBzYBNwpYgkiMgUEZkqIlNNTdYAx4GjwEJgWoU+lRvyySefsGjRIubOnUt0dDRLly51tUhux7Zt22jRooW+mEynTMy2/4ICzQRkOTtQCtLSbJ9/9Oh+AB59dKrNdrm52uzDU7JQ2PIRRABfi0hd4GfgB2CLvakmbGUvNR1XwIP2CuruLF26lIceeqhoOz4+nsmTJ3Pu3DmeeOIJF0rmHuTk5HDx4kUuXLjAmTNn9BTUdnLx4kVycnJo1KhRrah7YUpSi8EAWVnae7NyyM+/fNwaK1fuYMqU0bRqdSWJiZrDuSzXitnPUF5/7oI9KSbqoxWnGQ70Bg4Aa4F1Sqkkp0tYAnc1DUVHRxMfH19qf0hICCkpKS6QyL349ttvGT9+PCNHjmT+/Pn4+/vTuHFjV4tVoxkyZAg///wzoJVIHTZsmIslcj5paZdH/SLaLKB+fW1dQXo6pNoKaLdC48alzT+JiVqKChGIiqq63NVBlZLOKaUygO9ML0TkKmAE8Ang+d8sB3Hq1Kky96dW5ptZC/H19SUsLIxmzZoVFajRsc3WrVsBLTa+jrVYSg/DMizUPMa1nBFUhrQ0baVyYaE2Q1Dqcl9K2ZfSoqZjbz2C5kCURfutSqk3nCaVBxIZGVnmjMDdw2Gri1GjRnH27FlXi+FWbNy4kbS0NPr161drFjCWZaox+wjy8kofK8n06fdx8WIKL730AU2bautbCws1x3BhoaYQAgMvKxnzcY9XBCLyGnAbsB+LegTABifK5XHExcVx7733kmsRxBwQEEBcXJwLpXI/UlJSeO655wgODubVV191tTg1mg4dOrhahGqnrBXFhYValI9ZIdhi9eovyczMYOPGn9m793ICBXO/WVmlFYon+AnsGSbcBFyplBqplLrR9NIzj1aQmJgYXnvtNfz9/QGt5OJ//vMfxo4d62LJ3IusrCzmz5/Pp59+6mpRdGoQ6ena4jFrD2Wz47g8Xn9dK8Gem5tjtU1JZeMJCYTtUQTHAb2wrgN45JFHyM7ORinFrbfeyoMPPsj8+fNdLZZbsHz5crp3784HH3zA3LlzmT17tqtFqtEkJCTwzDPPEBERQY8ePVizZo2rRXIqublaJlFrlUztVQRDh47lf/87xoYNJ+y+tifMCGytLH4PzQSUDewSkZ8pvrLYJaUqPYWgoCCaNm1atPpTxzbJycns3LmTHj168Nprr7lanBrPiRMnikxnCQkJHh+ZVl4p67LSSpSFl5cXkZEVK0jjCYrA1srif9g6USn1X6dIVA7uGj4KWjEaAPGUdenVSEpKCvHx8YSEhOgJ5+zg5MmTLF26lOzsbMaNG0d0dLRHp5k4c8Y+H0B5fPbZAry9vbnllnvwttMD7OcH7lDLxlb4qC1FcBOwUSl13pnCVRR3VgR//PEH11xzDQMGDOD33393tThuicFgYN26dRiNRn11sU4Rp09XfWSulKJ1a2+UUtx+eyyzZr2Hj49PuefVrQvuUMOmsikm7gR2mmoR/FdEYkWkVM4gHfsxmL6ptSWUzxkUFhYyatQoxo0bV35jnVpDeaYhezArAIDPP19AXp599iRPcBZb9REopW6BosRxV5te94tIJNo6gpHVIaAnMXDgQIxGI0ajkU8//ZR3332XmJgYHn30UVeLVuP5888/+emnn+jXrx/Dhg2za6RWmzl+/DjJyckcPnyYY8eOMWzYMPr16+dqsZyC0Vg8rr+yeHl5ERc3nw4dumE0GvHxsc9/p5QmgzuP7+xZWXxSRPwAf9PL/F6nEogI3t7enD9/nq1btzJgwABXi+QW/Pnnn7zwwgs89dRTrF271tXi1Hjmz5/Pf/7zn6LtoKAgj1YEjuSOO6xnHbVGYSG489jEVtTQM0A/oAlwCNgMvA/EKqU8wE/uWiZOnEj//v315Gl2cvXVVzNz5kyuvvpqV4viFjRv3pzevXvTrl07WrZsSd++fV0tktNwlCIwGAwkJ5/Dx8eXRo0qlsfK3SOHbDmLDwJZwEpgI/CXUspKSYfqw52dxRs3buSVV17h6quv5plnnnG1OG6NHoGlYyYnB5IckP7y3Lkz9OunVaRZtGg1vXtfS7169hUbaNJESz9Rk6mUs1gp1Q4YCmwDrgO+E5EtIrJQRCY5RVIP5+zZs6xevZodO3a4WhS3pkmTJnh5eXHx4kVXi6JTA3DUjMBoNBIaqs3QJ08eRWLi6XLOcLwMrsKmj0AplQqsEpG1QA/gWuB+YDJgq4KZThn079+flStXEhoayp49e/j+++/p2LEjN998s6tFq/EkJCSQlJRE8+bNi2YBBY4IHPdwzp07x5kzZwgNDaWFPfUX3RBHPYTDwyPYvPkM06ffx7lzCfj62l+/wd0VgdUZgYiMEZHZIvI7cB54HQgBngDsWj4hIsNF5JCIHBWR6WUcjxSRX0Vkp4jsERGPjkQKCwtj9OjR9OrVi927d/P888/z7bdVLf1cO5g7dy49e/bkkUcewd/fHxGhT58+epU3K8TGxtK0aVNGjhxJz549mTdvnqtFchqOts/Pnr2Qjz/+gYiIlnaf44ioJVdia0ZwD/An8DSwXSlVoWzeIuINzEUzLyUAW0VkhVJqv0WzZ4GvlFLzTHUO1gDRFbmOu9K5c2eeffZZunTp4mpR3IKwsDCioqL4/vvvyTclg4+Pjyc2Vov7jomJcaV4NY6LFy+SnJxM9+7d6d69O2FhYa4WyWnUhNF4TZChKthToWyEUuqHEvumKqVsZksTkX7ALKXUMNP2vwGUUq9atPkQOK6Ues3U/g2llM2wEHd2Fu/fv5/ff/+dq666imuuucbV4rgd1qq8RUVFcfLkyeoXqAaTkZFBdnY2QUFBRRlvPZWUFMjMrHo/Bw7s4amn7uGqq7oyZ86iCp0bGKhVMqvJVHZlsZnnROR6i86eBuzJndwcsPS2JJj2WTILuFNEEtBmAw+X1ZFpVfM2EdmWnJxsx6VrJhs2bGDq1Km6OaOSWKvyZm1/baZ+/fqEhoZ6vBIAx43GMzIusW/fTr7+ejGtW3vz++8/VbsMrsIeRTAGeEVErhGROKAP9ikCe7gd+OuIbawAACAASURBVFgp1QIYCSwRkVIyKaUWKKV6KqV6NimrkrSb0L59e2JjYxkwYADp6ens2rWLI0eOuFost8FaNTe9ylvtxlE+gg4durFy5XbCwyMxGo0UFtofjODuisCelcUpIjIGWA9sB25R5dmTNM4AlsVlW5j2WTIFGG66zibTCubGaM5pj2PgwIEMHDgQ0IqJjxgxgmHDhukrZe3g6aef5uLFi/j4+BT5CECv8maNV199laNHjxIeHs7//d//ERMTU2ylsSfhqIdwvXqBdOzYnV9/PYK3t7fd2UcdKYOrsBU1lCEi6SKSDhwF2gITAPO+8tgKtBGRliLiA0wEVpRocwoYbLpee7T0Fe5r+6kADRo0oEuXLrRsaX9kQm3m4sWLpKenc+eddxIVFYWIEBUVxYIFC3RHcRmsWrWKRYsWcerUKRITEz16zYWjH8I+Pj4VUgLOkKG6KddZXKXOtXDQtwFvYJFSKk5EXgS2KaVWmCKFFgKBaEVwnlZK/WirT3d2Fqenp5OZmUlQUBCBgfatWNTRuHTpEllZWTRo0IB6NX0JZw1gzZo1JCYmMmjQIPz8/KhXrx4NGjRwtVhOwVFxAgcP7uWHH5bRrl1nRowYX6FzvbygplsoK1uPIFopddJGpwI0V0olOERKO3FnRfDyyy/z3HPPMWPGDF5++WVXi+O2rFu3jpMnTzJixAjdP1DLMRrBUbEC33//Gf/8pza7HDp0LHff/RADBgyx61wRiIpyjBzOorJRQ/8RkW9E5G4R6SAiTU0LwK4XkZfQ1hi0d4rEHkpAQABhYWEEBQW5WhS35t1332Xq1Kns2bPH1aLouBhHmmTatu3Io4/OJCgomJ9++p7Tp+2vW6yUey8qs2kaMpluYoD+QBha/eIDaKGey5RSdlYCdRzuPCOwZO/evYwcOZL27dvz4482rWE6wIcffsj27duJjY1l06ZN/P3330ybNk1fkGeFtWvXkpubS0hICEuWLKFbt2488MADrhbL4eTmwrlzju1z797tnD17ig4dutGiRbTd50VEQAVdC9WKrRlBebmG9gMznCJVLcdoNJKQkEDDhg1dLYpb8NNPP/HNN98wdOhQHn64zOUmOhZMmzaNEydO8Prrr7Nw4UJuuukmj1QEzqgO1qlTDzp16lHh84zGmq0IbFFu+KiOc2jfvj3x8fH4+dmf2Ko2M3XqVIYOHUqPHhX/gdZGbrjhBhITE7nmmmuYP3++x0anOTLvYFLSWZKSzhIaGl6UhbQiuHPkkFOjhpyBO5uG5syZw5dffslTTz3FxIkTXS2O25Kenk5GRgYNGjTQo69qOcnJkJVV8fMMBjh2THPw+poqUs6bN5s5c/7NgAFDGT36Njp06EbHjt3t7jM0FGryQu6qppjQcRDx8fHs2LGDCxcuuFoUt+bJJ5+kRYsWeqoOHQoK4H//W8fYsb04duyg3eelpmqvPXsgPh7y86Fx41A6derBvn07mD79Xn766fsKyeLOM4JyFYGIfCsio8pK/aBTMaZPn862bdu45ZZbuHjxItOmTeNf//qXq8VyCzZu3MiqVatITk6mUaNGhIWF4etrX3Hx2khubi4Gg4ELFy6watUq/vjjD1eL5BQKC+Hdd19gz55tfPzxe4B95qKUFO2vwQCJibBvH9x00yRWrNjGa68t4tZbJ9OhQ7cKyeJmxpVi2JN9dAgwCegLfA0sVkodqgbZysSdTUOWJCYmEh4eTrNmzUhMTHS1ODWewYMH88svv/DTTz8xZIh9sd21GT8/P/Ly8li7di3Dhw9nwIAB/P77764Wy6EYDHD6NHz22Yf8/PMqJk68j6FDx5CQALZq8OTnQ1lFAgMDoWFD7YFemRo+jRpBTY4Mr5JpSCm1XikVA3QHTgLrRWSjiEwSkbqOFbX20KBBA+bOnctrr73msD6XLl1KdHQ0Xl5eREdHe5TppG/fvowaNQpHJR305HsF4O3tjYgQFhbGqFGjuPpqm9nd3RLzyP+OO+7n//5vJUOHjgEgPR2ys7VjWVmwc+dfPP743aSkaCnMzlvJZJaZqSmWhATN91AeOTnFt93ZNGSXs1hEQoA7gbuAs8BSYADQSSl1nTMFLIk7zwi+/vpr9u3bx/jx4+nUqZND+166dCmxsbFkm38BaAvY9Fw8palN90opVVTa09PIzNRMPLt2bcHPz5/WrdtRt25dtm2D8HDtdeAAjBypff4775zGo4/O5ejRsvv7/PPpbNjwX8aPn0XfvjfTqpUPzZoFExBQum1GhmZOatQI2rbV9gUFads1lSrNCETkO+B3IAC4USk1Rin1pVLqYbQcQTp2smzZMl544QX27dvn8L5nzJhR7MEGkJ2dzYwZnrcMZNGiRfTo0YO5c+dW6vzadK88VQnA5RnBlCmjGDGiM6mpyeTna36DS5cgL0/7+/bbq5gy5THGjp3EsWPW+8vMTCUt7Ry//voR990XyssvP8mePZCWVrqteVaRbpF+051nBPasI3hXKfVrWQesaRedspkwYQLt27enY8eOGI1G1q1bh8FgYPTo0VXu29OLthiNRkQEESEpKYkdO3YwdOjQSvXl6feqJEopjEZjhTNq1nQKC7XPlpqqeX7nzZvNY4+9C2gPaPOK4y5dRjF27CjOnrWdlygm5nXGj5/Fzp2rSU4+ia+vltzwyBG44grNJ9GggZZgzhz4V1io+Rx8fNxbEdjjLB5Xxu5LwF6lVLXXDXBn05AlBoOBOnXq4O3tTaEDlkd6ehnH7t27s3PnTrZt20ZYWBhnz54lPDyc8PCKL/yxdq9CQkJIMYeTVDM5OY6LQc/IyGDcuHE0bNiQWbNm0aFDB9q3b8/+/fvLP9mNSEzURv2LF7/Liy8+yqRJj3LffW9T8l8bEACdO8PevZVbc2CJjw8EBxf3M7RvrykIPz9o1qxq/TuTqq4jmAJ8hJZzKAYtbfS/gD9F5C6HSVnL8PLyYtiwYYwYMQJHLOqLi4srNeLzpKIt5nvk7e1NeHg4PXv2rJQSAO1e1a1bOs4hIyPDJU7j/HzNOemo8MPs7GzWr1/Pb7/9VvSdMLrzcNUK5vHTP/7xEMePG3n++bcpYfHjzJkDzJgxlDvuuIGdOzdW+Zr5+aWdzeZrunP4qD2KoC7QXik1Xik1HrgKrXZAHzSFoGMnBw8eZNu2baSnp/PZZ59x8OBBVq9eTcuWLav8AIqJieH+++8v2va0oi07d+7EaDQ6JMlcTExMmRlg8/Pzq91PoJSmBIxG7SHjCIKDg1m3bh2fffYZbdu2xWAwcPCg/Yut3AWzbvPy8iryhZSM5Dl2bCt//72eTZt+YuvW5Tb7W7v2XT766H7i4yuW1dasCNxZ19qjCFoopZIsts8DEUqpVMDm0g0RGS4ih0TkqIhMt9LmVhHZLyL7ROQz+0V3Px588EF69erF7NmziY2NJT4+HqUU8fHxxMbGVlkZzJ07F6UUSilOnjzpMUrAjNlHsHv3bmbOnMk333xT6b5SU1PL3F/dfoLU1MtOz6ooAstzfX19ueGGGxgyZAgigpeX560FNRg0Jfq//62jS5eGPPzwJJKTSyuC6OhutG8/kAYNQmnTpq/NPnft+oGff17Ali3LePbZPixebF9yQ/M1nZEAr7qwx1n8m4isQltMBjDetK8eUIY/XUNEvIG5wFAgAdgqIitMGU3NbdoA/wb6K6UuikjTSn4Ot6BNmzakpaWxePFiq1ErnvbwdgZ79+7lxRdfJCYmhvHjK1ZJykxQUBCXLl0qtb86C93k5GhhiGby8qB+ffvPNzspQZtVNGmibWdkaP6GOh6cUtJcsD41NZn09DRWrfoYf/9WjBv3XLF2kZGdeP753+zqc/jwR+nZ8ya8vety7NgW/P3t+2dYmoYKC93zvtsj8oPAOLR1AwCfAN+YCtgPsnFeb+CoUuo4gIh8AYwFLD1W9wFzlVIXAVzhfK5O5s+fD2B1hFaV0WheXh6bN2/m+PHjNG3alFGjRlW6r5rI5MmTSU5OZuHChXTu3JmZM2fSuXPnSvf3yCOPMHv2bAos8hFUt0+lpOOyojOCixc1x6XRqM0q0tO1OPbjx1NYvfozWrcOZdiwYdx1113Ur1+fzz7znAm3WRGMGXM7hYUFPP30ZI4d21KlPrt2HQ5AdvYlWrS4inr17EsRbzRqdRH8/LT/g8cpAtOofr1SahBQ0Xl4c+C0xXYCml/Bkram6/yJVtd4llJqbQWv43ZERkaWGbVSldHosWPHuO6664q2DQaDR5kE1q9fz+nTp8nLy6Nz585VUgIAL774IldeeSUzZszg1KlTREZGEhcXV60zsry84tv5+dqo0t7Q//x8zbRk/jebFUtCwmlmzHiUTp06M2TIEFatWkWjmrzSqRKYFYG3tzfXXTeCp59eQVBQWLE2Sim2bPmWhg3DCQlpgbe3D8HBoeX2HRDQoFwzUklyci4rgpqcgdQa5RWmMYiIUUQaKKVKz6Mdc/02wHVAC2CDiHRSShUzOYlILBAL1Tt1dxZxcXFlrmytymg0Pz+fvn37snnzZkaOHOlximDx4sVkZWU5LMUEaE7jyMhIDhw4wLXXXku7du0c1reZ/HxttFjSN20wlJ0cLS9Pe6CUh9Go9WF+IIKmRDIzITg4hLvvfoiwsDAgiOXLv8ff37PqXlh+7oYNm9Gt242l2mRmpvL++3dQWKhNtXr0GMOTT1rPKPr337+Ql5dF+/YDCQioWNIgs3/AkfURqhN7JjGZwF4R+QkomswqpR4p57wzQITFdgvTPksSgL+UUgXACRE5jKYYtlo2UkotABaAto7ADplrJIMGDeLQoUOsX7+eBQsWOHQ02rVrVzZt2uRAaWsWgwcPLnqfkZHB4cOHCQgIoH37ypXNPnjwIGlpabz55pssX76chQsXOkwR5OVpZpsGDbQUCAaDVrmqXr3ibcoiNVXLa1/e2i9bZqTmzSN54QUtE2dGBlxzzZganfqgMpgVwYIFr3PgwH56936Yli2LZwv19q7LXXe9xeLFD9KwYXi5pp5PPnmU06f/ZsaM9Rw5spl69Rpyww3T7JLH/P9wtCIoKNBmG/n5mskpONix/ZuxZ8j4LfAcsAHYbvEqj61AGxFpKSI+wERgRYk2y9FmA4hIYzRT0XG7JHdDzp8/T2JiIkopYmJiOHnyJEajscoRPp6eQK0k27Zto2fPnlUqvThz5kz69etHfn4+9913H23NCWMcQEaGNgtISrr8wEpOhpMnL6c/tqYI8vO1hVLlURF/Qnp66Wgad8d8XzdsWMvy5YtZvvxlNm36slibgIAgunUbxQsv/MkHH5zhgQc+ttln+/YD6dZtFEajga++epZ1696zWx5HzgiMRu07lJgIZ85og4PMTOf+D8udESil/isi/kBkRdJPK6UKReQhYB2a/X+RUmqfiLwIbFNKrTAdu0FE9gMG4CmllMdWbdmwYQN5eXlF5o3nnnuOHTt28Oqrr1ba5l0ygZo5FBXwqAikRYsWUVhYyD/+8Q+Cg4Pp1q0bbdq0qXR/bdq0oW/fvjz11FPFfCtVxWi0vXo1M1OLDLKmCKB42gJr2Hrg5ORkk5KSREBAII0aNebzzxdiNBqIjX2ABg0uV+RyZ8wP3gcfnEF4+FV8/fV7JCYeoV+/2wA4fHgjRqORVq160qRJlF19Tpr0PgDp6SncdNMzNGhQvj/BjPn/YTBo34HKWmUzM7UHf3WvSbAnxcSNwOuAj1KqpYh0BV5USo2pDgFL4ikpJgCGDh3K+vXrWbduHTfccEOl+rCWLiE8PJwzZ0pa4tyXoKAgMjIySEtLo0GDBq4Wxyrp6doP2RY+PtqDw9ZPLyTEdiipOb1CWfz66xomTx7FwIHDWbx4Da1aaU+l48eN1K0rhIdX/kFVU0hIuKwMduw4y/vvz6Rx48ii8NEHH4wgNTWB996Lp3Fj5/sVGzTQUk0AhIVVTNkaDNp3Jj/ftoL39dX6riy2UkzY4yOYhRYK+huAUmqXiLSqvDg6ZmbOnMkjjzxCt24Vq4RkibWQU08rdjNp0iSys7MdXpUsKyuL9PR0AgICHKJg7DEN2GPWsbamwDzatHWdunV9aN48iiZNmiEi3H57LF5eXhiNRgoLvUlJgaZuvmLH0lkcFBRObOzCYsevuKI3ly5F4etbj/PnT/Dmm+MICWnBU0+ttNpnYWEB3t51KpWx1XIxWUGB/YrAYNCS47nayWyPIihQSl0qcXPceDG163jiiSfIzMzktddeIzg4mAEDBpR/Ujk4IxS1JvLOO+84pd833niDmTNn8txzz/Hiiy865RqVwdpo/+xZTRHYMh0MGDCEP/44WbT9yisfFjuena31764mIqNRm00VFBSwfPmnZGWF0q7dyGJtHnvscrR7dvYl4uN3kZNjO/AxNrYxOTnpLFiQQmpqAkopoqO72iWT5YPcHkWvlJbeOiOjZqSmsGeCuE9E7gC8RaSNiLwHVD17Uy3k008/ZcGCBeTZMhBXkLi4OAJKVM7wpGRzZXHixAnCw8Pp3bt3pfu4+uqradKkCQkJCYSGhuJfw4K/CwqKj3pBG3Wa/QdVpYxF1dVOZVMyWK4qfvrpybz11j1cvJjIhQuny2zfqFFzXnllO9On216ipJTR1H8B06d35YUXrrFbJktFkJtbfvuLF7X/QU1QAmDfjOBhYAaQB3yO5uB9yZlCeSpvvPEGWVlZRQnPNm3axJ49e+jXr1+lncVmh7ArF0Y5G6UUZ86cwdvbm7CwMESExMTEMjOI2suFCxdISUnhiSeeYMGCBQ6U1nHk5WlhpN7eWuigPQ+YskhOTqKwsICmTcOKspFmZ5fvkHY0OTmaD6VpU200nJWl2byV0vL7N21q32I6syIQEW666U4uXPBi2rRw/P3rs2hReqn2dev60rJl93L7Xbw4w2Q+yyciohN+fvbX3bJML5Gfb91hrJT2udNLi+lS7CpVWZPwJGfxP//5T9555x3efPNNHnvssUr3YzAYijJqRkdHs3nzZp577jl69erlQGldx5IlS7j77rsBLavqSy+9xODBg/H19SUkJKRSfWZmZpKTk0PDhg2p48CcABcuFM8fVBXq1NEeLuYSiCkpWlRJeaxZs4x33pnFyJETePTRmXTv3piLFy+wfXsyjRo1Lmrn66vlzxfRHtK5uVrufmeYjJTSzFrmFAzm2YCf3+XFdYGB0Lix7X7gcolK0JTlX3/l8uijLfHzC+Stt46Qn5/DffeFEBAQzLx5Zx3/YazQtevlxYChoaVXGF+6pCnAyj5yXeosFpG2wJNAtGV7pdT1lRdJBzTzRHZ2Nh06dKhSP1lZWXz55ZcEBgYyePBgVq5cyeTJkz1CESxdupSpU6cWbcfHxzN16tQqp9gODAwkMLBmV1o1PywzM6FhQ/tnBKmpyRw+vI+ePTUfVNOmYfj6+pWqSZCXpykuH5/LkU55eY4trpKVpT0Avb0vm08sTUKWnykz87JCsBUxZTmazs0FHx8/5s27HByRn59Lfn4OdetqGk0pxbJlsygszGPixFedVr6zoOCyIsjL0xSB2Z+Rk6OZg2oq9oSP7gbmoy0iK7JaKqXsWVTmcNx5RvD999/j5eXFqFGjHJr+IS8vj2+//RaDwUDr1q05f/48vXv3NqUYcG+cXXlt9erVzJw5k+HDh/Pyyy9XuT9HzggsCQ4uu3ZuWaSlpXLu3BmCgoIJD48o/4QSNGtmX5qL8lBKWxBVUV+AlxdERJRtJio+G8jj5Mk8UlIC8Pa+PKZVSpGfn0NBQR6Bgdpq4piYOhiNBpYsyadOndImxdzcLN56azwBAQ149NEvSx23h7ZtLxev9/fXTF3nztleM1IRXB0+WqiUmlf5y+uYufnmm1FKYSjpBawivr6+3H777Q7ts6ZgLTw2Pj6e+++/nw8//LDM4+Vx9913U6dOHa677jq2b9/u0JXFzqAizt3g4EYEB1c+p8SlS5VXBAaDVsHLx0d7oFfGIWzO5lnStKJU8VH1+vUreOihW+nT5xb++c+vi/aLCL6+Afj6Xg6iuOWWF/Dysp63Iy8viz171lG/vmabevLJDmRlpfLGG4fszjtk+Vnz8rRZlgPjQpyKPYpgpYhMA75DcxgDYCpMo2MnSinGjBlDYWFh0WwgNzeXixcv4uPjU2lbt6djLTwW4P/+7/8qpQiMRiNLliwBYM6cOWzZssWhyeycQXW68iob056VpT2oCwur/gDMzi6tCPLzi0dSGY1G/P2D8POrz8svDyY9PZmZMzdQr17phDw332y78py/fxDTp68tKol66dI5MjNTixLW2YPlfTOniXAX7FEE/zD9fcpinwL0RWUVQERYvrx4qbwlS5YQGxvLlClT+Oijjyrdd1JSEj///DMRERH4+fmxe/duevfuXeVUzTWBuLg4Jk+eTL5FzGRAQAC33XYb/fv3RylVYZuvUopPP/2U/Px8GjduTGN7PJRuxB9/rGfjxp/p338I/fsP5oEHxnPq1HHmz/+WiIiW5Z5fmQmrORzSUWRna6urLSmZa2fQoNtYtEhLKTF1ajMuXUqioCCXpKTjfPHFvwkLa8utt9oX4Ojj40eXLsOKtmfP3oWId5FpyR5cvSisKtiTa6j8b45OpWjQoAGhoaFVdlru2bOHmJgYrr/+erp168Ybb7zBnDlzPEIRxMTEsGLFCr766itA8w1UNTzW29vbo8JrS7JlywbmzZuNn58//fsP5tixgxw5sp+cnOzyT0abfZgzptpLZUNbrWEwaL6A3FzNZ1GnTmlFYDninj59LSJCYGAI58+fYPPmr7jiij5FiuD06b/Jzr5EdHS3YiYja4SEVNy34pGlKkXkaaXUHNP7CUqpry2OvaKUeqY6BPQUlFIYjcZihbZvvfVWbr311ir33aRJEyZOnEiHDh248sormTx5Mh07dqxyvzWFjz76iGeffZagoCCiouxLIGYv8fHx/Pe//6V58+ZMmTLFoX1XJ5Yrhfv3H4Kvrx+9e18LwPvvf0VhYQGRkfZP4iuiCJRyzCK3kphDZS9d0qKmSpqbLBWB5QrgZs3a8MgjX+DvfzllyDvv3MqZMweYM+dvIiJKR+lduHCabdu+p0mTlnTvXrnqfs64B9WF1aghEdmhlOpe8n1Z29WJu0YNpaamEhISQsOGDa0WTtexnx9//JE1a9bw3Xffcfr06QotpMvIyGD16tU0atQIf39/rr32Wvr3788ff/xRZbkqGzVU0RE4XC6PaDDAnj0QGamZUw4f1qKMqpJPqGlTbU2BPeTkaCm3nYWIpghK/mxeeWUuv//+FTfcMK0o66g13nvvDlJS4pk6dTFhYaUDA3bvXsfs2cPp1GkozzzzI+vXf8jRo38xYsQ/iYqyb2YdEADOnIS7KmpIrLwva1unHMxOYu+K/tp1ymTChAmkWwSUVyT9dkJCArfffjvt2rVj3bp1PPfcc0RHRztTXJvk5cHBg9CpU8Wygh4/ri02Mxi0Po4f15RQaqpms/fxqXwhk4r4CZwdGVMyWgg0Z+zp04c5eHADvXuP4+efF5CSEs+QIQ8QEtKiVB8PP2y7XnOjRs0ZOnQa4eFXArB3749s2fItXbuOsFsRuPOMwJYiUFbel7WtUw5NmzbFYDAUW9Szd+9eJk2axJVXXlmlYjI5OTkYDAYCAgLIz8/n0qVL+Pj40LCh/Y6umszjjz9OvXr1mD59OvVMZb7KCsHNzs5mxowZ5SoCs7M5LCyMyMhIlyaby82FAwcuVzWzN3jMHJViubjKnMkyMfEIGRnJpKVdQUhIU3bvXkRa2gluu20KLVpE29V/RRSBo/0DZVHScJGbCyNG/JNevcYRGtqKt9+ewNGjf9G9+40UFuZz5MgmmjW7giuuKFkmvWwiIjoyefLcou1Bg+6jS5cRtGzZw24ZCwsvz9LcDVvjjy4iki4iGUBn03vzdid7OheR4SJySESOish0G+3Gi4gSkTKnLZ6E5UKygoICtm/fzv79+6vU55tvvkn9+vWZMWMGH3/8Mc2aNWP6dKu3260oLCzknXfeIS4urlhuIct6z5ZYW3dgSVRUFF988QVvvfWWw+SsDOnp8Pffl0fUFypQkikz03pI6YoVs5k5sz/bt6+gsBCWLfuY999/2WoYblnYqwiMRtfEyufkQNOmLbnqqoGEhERw/fX3MWHCSzRq1JyDB39n7tw7+fHHDyrdf9euw7n++nsJDa1YcKQ9KUBqIlYVgVLKWykVpJSqr5SqY3pv3i4325eIeANzgRHAVcDtInJVGe3qA48Cf1X+Y7gn7dq1Y8uWLXz5pbaSsSolJwMCAggMDCQoKIgmTZqUykjqrhiNRubNm8err76Kj0WGNGtptiuafjs/P5+dO3eya9euKslZGSyLq4C2ctjeB7CtpGWhoa1p06YvwcFaroiBAydxyy0vkJoaxVk7U+/YEwFjLqvpinRlpUNJpzBu3LOEhETQpEk0/fvfQZs2/YqOz58/mXvvbcS2bSWr5WpkZl4kJeUUOTlVC/53V0XgtKRzItIPmKWUGmba/jeAUurVEu3eBn5CW6fwpFLKpifYXZ3FCQkJxMbGEhkZyfz580sdL1lyErSHe1Vz6ngqVblfBQUF5Ofn4+fnx5kzZ4iKiiIiIsKu2UR5lHQW5+VpMfElrXR5ebBzZ+nzw8KgeXMtXNIWBw5UPm6/ZUstKZotfHwgPNz6cYNBSx/hqjTKR4/C8uVLSUs7R9++E8qtQvbuu7ezadMXPPTQZ/TvX3oV/ooVr/H559MZPfopYmLmkJ6ezJEjm/HzC6RDh0F2y1W/PlQxdZhVnOksdmbBuuaAZYLwBNM+S8G6AxFKqdVOlKNGkJ6ezg8//MCGDRvKPD5jxoxS5g6zzbu2YmuG9NZbb5GdnU1oaCgiQvPmze1WmqtWrSIwMJAJEybg7+9P165dq5z4z5LkZNi9G+LjtWieQ4fg2DFt7/jwPQAAIABJREFUBpCcfLlNWSQmagrC1uIkpSoXmZSUdIzNm7/mxAlVrjmnvJmJK+rqWpKTA+vXz2fp0idJSYknKekYR45sJj09pcz2U6bMY+HCC/TpcwugKedjx+DUKVi3DnbsGEFg4EPAFeTkwMmTO3n99TF8913F8k/ZMtlVBKW0vhITtSCAQ4fgxImq92sNx+XfrSAi4gW8CdxjR9tYIBbct/JWREQEq1evLlYAJT8/n9mzZ2M0Gq2ORh0xSnVHSo74S0YF1alTBy8vL5o2bUpSUhKDBg2ye+ZkNBoJCAggICCAJk2asLOsoXklyc/XFEBhYXHzheWDv7DwcuK0sjAYtJlFWVlA9+/XHJIVeQgnJR0jMzOV9967naSkY4SH7yE8vBO2fkoGg/YwKmvRdk6Olk7CleTmwtVX307r1r0ICYnks8+eZvPmr3j44c/p0WMMBkMhvr6Xk9FZpp3Iz4dZs+B0sTo2nYH3WLUKVq+G7t370KHDHbRtWzEfgbneQEXXiBoM2vciNVX7blT3/XWmIjgDWC7Pa2HaZ6Y+0BH4zbTAqhmwQkTGlDQPKaUWAAtAMw05UWanUb9+fUaOHFlq/8yZM6lTp06VSk4+9dRTbN++nVdeeYW6desybdo0OnfuzMKFC8s9t6Zia4YUExPDxo0biy3Oq0iFsfHjxzN+/HiHymvGnmyb9vhsz58vrQjsLWjy9tsT2LfvFx555Es6dRrCp58+ybZtl9ObeHl5k5SkmaBsRTMbDGWbqFydTtmcc+iGG6YV7WvWrA2tW/cmICCY7757me+/f5XbbovjpptKr3v95htNCdSrp5lyWrTQzGUHDmjrIVJTYfv2BtSpsxSlYM2aJOrU+Zbrr7+3KHPpmTPajKJxY2jTBixrJFVEEeTlFZ8pugpnKoKtQBsRaYmmACYCd5gPKqUuAUVJXkTkN+zwEXgSdevW5dlnn8Xf35+oqCimTJlSrIylvSUnd+zYwa+//kpGRgb+/v5s2bLFocVWXEF5MyQvLy8MBgMDBgwgKyur0llIHY2j0gxkZ2sPFKNRe1gHBBSPKrKVYykrK43MzNSi0ovNmrWhVauetGrVk7CwtjRq1AKDQTM7tCgdcl9EWYrAXNmsMpireNWtq/3NzLy8ziEnp3SSOWuUFa56220vc9ttmhnn8OE/8fevj69vPRITtdTQu3d/y19//UDduo+yYUNHROBf/9Ie4iVJSoJPPtFMdPv3w/79oUAvtm49yPXXawGTH3xw+X/dvz889NDl81NTy/fBpKZqZqnqCL21B6dWKBORkcDbgDewSCkVJyIvAtuUUitKtP0ND3YWJyYm8t1339G8eXPGjh1bZpv//Oc/PP300wC0aNGC2bNn22Xu2Lt3L+fPn6dbt27UrVuX/fv3ExwczJVXXunQz1CdOLsOgRmlFBEREeTn55OUlFTloiWbN4OjxPP11UaMfn7aYrPduy8/hGfNuoZDh/5g3LjnmTDhhWLn5eZmkp+fi79//aLiLKB91pycdES88PfXKr+0bAlNmmhKx8tLexibI5xLri62rDJWGU6c0MweoaGaUsvL097n52uzjBYtbCsmM8eOaSPo06f/pk4dX0JDWxWlmDYatQd4u3Zw5AjMmaNd46qrPuCXX4ZjzpU5dixMnHi5zyVLHmffvl+44445dO58AwDp6YoNG7L58st8CgtLr8m56iptFbfBAG+8UdyR26NH8VkCaPfNXLD+/PkK3TpACzgYNqz8dtaw5SzWS1VWExs2bGDgwIFcc801Vh3GAJ988gl169blpptuqnEF1auT8qKC4uLi+OOPP3j22Wfp379/hfr+5JNP+Pjjj7nrrruYNGkSPj4+FBQUkJeXVyxEtTI4UhFYEhhYPDTx9ts1hVWnjg9LltgXyL9s2Sy++eYFxo17jgkTLi+i8/K67HMICtIeol5emunEMjt3amrFa+1euKA9/L287FsnIaIpn44dy/ZPnD6tmWUA7rmnHnl52SxenImfn7bQ8McfYfFiLeLJsiqYiEIpITQ0h7vu8qd79+L9v/76WLZvX8Hjj39Lr143A/D441eSmHiYV189SnJyaxISYPt2zXl7000wYQJ89BH88gtcdx3cf//l/iwjs8yL/44erVqGUmcqAve2H7gRzZo1Y+rUqbRu3brY/n379pGenk63bt3w8/Mrqs1b24mJieHcuXO89dZbnD17tlQuoZ07d7J27VomTpzIgw8+SGFhIX///bddfR89epRff/2VgQMHAnDixAnq1q1bbMFaTaNkfPrbbx9jzpyRdOp0g13nZ2ens2/fLwClSlZabqanayP31q21WUK9etqDOTvbfiWQm6s9ZAsKtIdfRcaaZmdrUlJpH0lm5mUloJSiWbM25OVl4ePjz3ffxbFmzdt4ex8EQorWS7RqpSmgS5eE6Gh49ll/TIvTizFp0vvccssLNGkSXbQvICAYf//6KHWJXr2gVy+4+Wbtc5m/KjfeCL/+Cr//Drfccnll+IULmtnr0CHt3tV09BmBi7niiis4duwYhw8fpqDg/9s77/Coqq0PvzuTXoEkNAOhpGBAamgGBISLoKgo5YKRIk347B3BAldEsF8RRC6CCLmoKAgqKCB4UUEEBZQqEBIgBEghpJO2vz/2TDJJZpJJMjOZkPM+T57MnDlzzm/2zDlr77XXXiuf7OxsQkND8fPzq/zNet59910AHnzwQfLz83nvvfdwd3fn6aeftpVsmxMTE8PUqVPJyckhICCAd999t5SbbP/+/axfv57XXitZlpKfn2/R3MiZM2eIjY2lVatW5QxzTbHViKAqfPbZbK5cucDIkXMJCGhJTMwzfPPNmwAEB3dmwYKKo6ScnSFS32/U6dRzS1cPJyWpHnNNbysuLmpUYKjX7OSkXD3mRhWff/4iGzb8D9iFm1s6zs5H0Om6MGeOO4WF6nsZPFiNeCylsLCArKwrJCXFc/jwdho3bm0yud3rryt31MMPq/kCA66u1s0/ZMsRgS3XEWhYQOfOnenZsyc6nY6XX36Z7t27M2HCBE6dOmXxMV544QWeeOKJYkPy4osv8sYbb9hQtW0xuIVy9PGXycnJTJs2rdQ6gsjISHr3VitHg4KCiI2NtbgOdOvWrRk4cKDVjYCjsG/fV/zvfx+Tk6O68Lm5JcMJSxZHFRSUuDAMCe0qIyVF3QxPn7ZOHH1+vjreyZPKsFy7Zt4IZGWBn98swsK2A9CgwWaysm5m2rTtNGum5h369z/LsWNfcvLkrxZr0Omc2bBhHi+80J1PP32en39eY3I/Q2b0squ261ISOs01ZCeys7NJTU3Fy8urVDK4L774ovixIQPmxo0bGTp0KCEhIRYd+/HHHycjIwMvLy+cnZ2ZNWsWDaqbdtIBqCx01MDtt99OSkoKhYWFNSo1OXv2bC5evMjChQvrRLWyuLiDrF//L9q1u4X+/R/AxcW91KTwmDGvkZmZQqNGQcXPR4yYg6enL66uls075eSUn+ysiIQE2+UcSk6uOHXDp5/C9u3qcwkBkyZ1w9l5J0FBJTU5DPmHVOqJXuWOsWnTQnJzMxky5DF8fUt+A3l5qjNyww030quX6VTXBhdWYmJVP5njoBkCO/Hdd98xYsQI7rnnHtavX29ynzfeeIPw8HC2bdtWpQIs8+aVrH60NOTUkbFkcd0vv/zCoUOH6NOnT5UrsX3zzTecOnWKoUOHEh4ezmeffcbp06d5/vnn64QhSEg4xr59G9i3bwOrVz/Bc89tpnPnocWvR0beVWp/w2Kq1NQEFi++H09PP556qnTZ1LLk5lruRsnOtr0fvGyY5cWLp3j11YE0bx7B+fNbAOjXDzp1go4dQ4HScaGBga3o3v0e2rQxnddy27YlJCefZcCAyRii2vfv38jFiycZO3YBt9/+ZPEagrIYUnFohkCjUlxdXbnhhhsqLVI/ZcoUpkyZYidVjokli+s+//xz3nvvPd555x0OHjzIH3/8wZQpUyyqzPbJJ5+wbt06mjdvTnh4OK+88grZ2dl1wggAtGvXl0cf/Yy1a5/j6tVLxS6gisjLy0FKydGjP+LrW/noqSrx7VXJmmotcnIySE4+i4tLD1JTwdv7GlL+H9eu9QEeKLd/eHgU4eHmo8vuvPM5MjKS8fYuuT4zMlI4evRH/P1bmjUCUBI2akjAV8MI5FpBMwR2YtiwYZw/f77c9smTJ7Nx40Y+/vhjhg0bVuXj5ubmcvLkSfz8/IpvlH/99Rc5OTlERkZa7Dd3JMwVrDce6URFRbFy5Ureeust0tLSyMzMJCoqyiJDcMcddxQbAYCxY8snIXNk/P2D6N17NN27D0enc0EIQVqaWiWr08HmzTtwdc2lX7+BuLi4sW/fBt5++14AunW7i5Ej51ZyhvLZPSuionQZtqJFi/a8914c27f7sGkTNG8ez65dK3BygoKCPHJzM+nXbyI+PpYVeDBepWygU6fbmD17O4GBrUlM/Jv09CRCQ3sVr1kw4O2t2j4jQ4WrNmpklY9oVzRDUMtkZWWRkpJCSkoKnp6eNGnShCNHjnDt2jWLCsvExsbSsWNH2rVrx7FjxwDo3bs3WVlZpKen4+PjY+uPYHWio6PZvHkz//2vqiplqmD96NGj2bVrF4sXL2bQoEHccccdFruIJkyYwIQJE2yi3V4UFUFCgitNmsA336i0Cc2aQatWsGfPrUABhw8XEhEBp0+XrF6KjBxeqr6vOSwxBOnpKj1CbdQjcHZ2JTAwGENMRa9e3vTvv5xmzcJZunQily6dplu3u4oNgZSSwsICCgvzLSpeD6pqWaNGKk/mlCmNyMq6wocfXjY5omreXIWKXrigGQINPTExMcyePZuzZ89WWkt3yZIlLFq0iJycHHJycoiLi8PLy4tbb72VH374waLzRURElIqA6dq1a3HVsrrKRx99xMKFC3FzczM7ETxhwgQiIyPp2bMnN954Y7XPtWfPHi5dukRUVFSNJp3txc8/x3DgQAS7d3cptRgsMVH9CZGPlE7s3evG3r0AD+LrO4aoqHS6dbMsj3FubsVujqQkFSFUm2RmqpuvENC3b3O8vScDcOutU7l69XKp0UBs7H5eeKEHrVt3Y/780uHnRUWFHD/+M+7u3rRpY7oiWZs2keTkpJOfb9rqNWumtCQmqrDXuoZmCKyMuayZe/fuZdeuXYwePZpZs0oSYTXSdx+klGRmZrJjxw5GjhxpsUsnIiKCI0eOlNpW0crluoK7uztBFeQbyMzMpGnTprRt27a4DS0lNja2OLWEq6srs2bN4scff2THjh0MGGB57vnaYu3aWaSm/ggoI+DklMtjj7lz5YpaDHb33S7odCp2/uJFOHgQrlzxY8sWP3bsyKNr17VER/c1WdvXGEN6i7JcvqxCOmuTU6f2snRpAYWFUXToUDrJ2113PVdufxcXd3Q6Z5PXVXZ2Oq+80h9PTz8++ijN5PlmzdpaoR7DPIGlhX8cjbrnQHZwzIU+rlmzhkOHDpGQkGDyfUIIvLy8GDZsGLm5uWzbts2i89Wkqlld5oMPPqBly5bMnz+fpKQkdu7caXGVseHDhxMSElLsSouKiuLuu++uMzWew8JmA61p2DAfCMTbO5IePdRio+nT1U2pcWO46y6YNg0WLYKnnlKpI65dc2XPnrFs3Fi578eUeyg1tfaNAMCePakkJEQhRD7jx0N6ehL79n3FsWOmO0EtW97EmjX5zJv3W7nXpCwiPLwPISHlw0otxWAILl6s9iFqFW1EYGXMhT6mpaVx4MCBcr3XjRs3snHjRu666y6GDx9epaRnleXsr8u88847/P333zz00EMmJ4AN6yS2bdtGaGgo06dPZ8yYMaxdu7bC48bExHDy5ElArUN4/fXXS4Xf1gV0OvUd9++vIyzsk+L1AqBGlnl5Oeh0LsWRLsnJsbz1Vlv8/YPp3PkTDh68hR9/bMvo0RWnS05IUJOgzs4lCedMxDvUCgcP9gfgllviaNEilMOH/+Ttt++hfftbGTfuHVxd3WnaNNSi68nHx585c36qkR5DCOnZs3UzckgbEViZimrpdu7cudzrhw4dYuXKlcyfP5/77ruP1atXW3SemJgYJkyYYHL0MWXKFJo0acKhQ4eq9yEcgK+//pqlS5dy0UwXa+rUqbRt25Y///wTV1dX+vXrV+k8gcFw5upjIy9cuFBuxXJtcPEiLF0Kv5XvrJYiIQHeeQf27FE3mgEDnOjceSgtW95UvE9+/jUmTvRi0qSSIAFDLYKUlHieeqoXHTtCfr4TO3ZUfL6TJ0/y0ktz2bnzMIcOqYRvjpCR5swZuHDBA29vmDxZrRfw82tCZOTdhIb2YubMTjz1VPXnjEyxadNCHnywMd9++7bJ15s1U7mFUlNtW0nMVmiGwMq8+uqr5ZKXVbTI684772T58uWEhISwdu1aDhw4wKhRo2jTpg0tWrQw6fIx3NDMTQbn5uZy+fLlckaiLvHMM8+wePFiIiIizO4zdOhQhg8fTl5eHnFxccyZM6dC91hFK5YLCwvtOrleVKQyWa5eDTNnwv/+B+++q27yholaY/LyVE6b335Tvf6hQwswNa9dVFSAq6tHqRXETZq0xcurIV273omzsytD9WvPtm6tuCTl3r3rWLt2DqtWveUwefMBDFNgUVElq59btOjAU099xT33vEiLFh0ICoooNRrIy8vhtdeGsHBh+eJQllBUVEh6ehJXr14y+bqTk0pKB5UbdEdESzpnAxYsWMDzzz8PlIQ+Nm/enB07dtC/f38GDhxYvK9xhFGjRo149NFHWbRoEclmgrOdnJzKZY8sS1BQEPv27cPf39+hM2paA1PpqoUQSCmL2x6UETC1SM2YlStXMnHixBrpMSSdM7gHrlxRYZYtWiife3KyciN88IG66Rto06a0771NG3j8cZW9MyVFRels3QoNG6Zw5UonBgwYwrRpyzl+/Cf+/HMrHToMJCKif6X6srLSuHQpjnffjSApyZURI2DECNOujBMnfmHXrlV06TIMJycdXbrcXuN6DTWloABmzFARQw88sIdu3VpUOumt3pfPuHGuODnp+OST3OISlgBHj/6PN9+8iw4dBvLkk6ZX/WdmXqGg4Bre3o1wdnZl9+5PSUk5x7BhTxe3yZEjMG+eSjnx9tvWdw9paajrGA899FBx1bHhw4cDMHfuXObNm4cQotgQlL2JpaSkMGfOHNxNhWroqcwIeHp6smDBApqaKnh7HbF161aee+45YmNjy/XyDZ2b+Ph47r///kqP5e3tTWZmJgU1LC9WVKQKoX/4oSpA0qhRSdpkLy9lCIqKSgrOeHioC7tjRzWR+8UXql5uQYEyCk88Ub7HHhX1E7t3C/z9lYvx8OEf2LBhHlIWWWQIfvnlv6xc+RAdOiwjOXkKX34puHABhgxR1bqMb17h4VGEhd3M44+HcPlyLAsWHCQ4uFO12yc+viS99JEjas4hNFS1y7lzEBamDGZmpjKExumipVSjpm+/Va97e59n5cqbgfcZPPghffsXUlCQj6tr+evH2dmFJ574koCA4HLGLDc3Ux8aan7Y4+1dEkiQlnaRRYvUIsSIiP60bauGAqGhBQiRxsWLAZw4cZWWLcHT03QW4exsuHpVJde7eFG5lEB9towM9b3n5JQ8NtSQvvlmVW/B2tjUEAghhgD/RlUoWy6lXFDm9SeBKUABkARMklJaUNHVsbl48SIjR44sdTPu378/c+fO5ZZbbineZspVoapIVWFZpxE6nY4JEyYwe/Zsxo0bV+kaBkdFSsm6devw9fXltttuM9kLTUtLszhKqCI8PT354IMPiI6OrnFv9+671eIuAwkJynXh46MudJ1OGYfUVGUEZs5UNz8Do0apv8xMVfHq+HG1f2ioysT5j39AdPRwoqOHF7+nQ4dBFBUV0qHDILO6EhP/Zt++DQQFtcffvwUtWtzEkSPTga24uHzOnj2CPXtULv2uXVU2zW7dlM9bCEHHjrcRG7vPolQWxuTmwrZt6vNeuYJ+TUNptm8veWy8bMbLS6XCPnNG6XB3L3G5+PpCr16/ceHCIAICWgFw6dJpHn88hMaN2/Dvf5te4NCjx70mt3fuPITly69gqXfEz68Jd9zxFKmpCcVGACAp6SRC/IqUD/D559kkJHRh4cKD+Pk1JTYWdu9W6wySktRvozrOmCpkp68SNnMNCSF0wN/AP4DzqBrGY6WUR432GQDslVJmCyFmAP2llKZT/OmpC66hwMBAkpOTuXTpEo0bNza7n5OTk8U/vsrw9PRkwoQJrFq1ymxVr7pCTk4Onp6euLq6lqrhbMy8efN48cUXa3QenU7HqlWrrNY2y5fD88/DvfdCly7KDRQUpEYAycnq5ubhoXq/np6q8Lk5CgpUMfXQUNOx/OZITb3A4sX34+/fgv/7v1UAfPTRDLZvXwrA2rWSq1cv88QTIRQU5DNv3lV27XJlz56SXilAkyaJTJ16nHbt+gKUcqVURHo6fP21Otbx46WP6eysRj6XLqmef2iocn25uannR46okZROp0YPZXFzg4kToU+f8rWUU1LO8cgjwUgpCQgIJigoguee22xxu1XG1auXWbfuRY4f/4k33zxa6rV9+zZw8uSv3HHHU6Sn+/HCCy7k5TkBKwgMHEVamk+5ymQ6nfr+dToV6hsYqEZjXl7K0Ol06nv38VGdCScn1Sm47TbVhtWhtlxDPYBTUspYvYhPgbuB4laUUu402v9XoPJxfB2gefPmJCcns3nzZoYOHUoTM5WszSVXqw7Lli2zOH2zo5Ofn8+oUaPMGsmYmBirZFgtKiqyartMnAghISWx5MaZwI0nds0ElpXC2VnVKa4qp0/v5ejRnYSH9yneNnLkXDIykhk8WFVY9/NrzCuv/Mbff/9Cy5aujByZRevWX3PqlKBBg3/y5ZeSS5eaMW9eVz788K9SaZnNERenbvwbNpSuZNa6tXJnFBVBr17qpmeO4cOVL3/HjmV4et7LlSvNaNtWuZBOnoQ77jDfdo0aBRETU0hc3AFmzeqGl1f5NSGXLp3m11/X4enZgMjIu/Hza0J2dhre3pUvSHRy0rFjx3ICAsoLOHPmD77++nWysq4wdeoyJk6EZcsAJpGUZNAHPXvCjTeqxy1aqMI1VaFhw+obgcqw5YhgJDBESjlF/3wc0FNK+bCZ/d8HLkopywV1CyGmAdMAWrZs2c1aN09bMnjwYLZt28aWLVsYMmQIcXFxJCUlERwcXDxKiImJYdy4cTUeFRgKupsbYQghKp1bqEuYK2xfVQzt9t///pc1a9YwduxYxo0bV6Nj2rpC2bPPdsTZ2ZXZs7cXp5dOTPybxMS/ad/+Vlxc3Dh9eh8FBXnceOMtlRxNkZJyjocfbombmxf/+U8Kr78uOHzYlbCw5cydW5IJNysrDZ3OGXf30osPvvsOVq0qeR4RAQMGqJ5thw6qN2spP/20miVLxhMQEMyiRXFm95NSmnTlFRTkceWKWt5rXHYS4NCh71mwYEipbR073sZttz3Mnj2f0bXrnfTuPdrsOX/7bT0ZGSkMHDi11PZTp37jm2/eYPLkpfj4+COlqpGQmKhqGd94oxoJ1pTrvkKZEOJ+IBIwWVZLSrlMShkppYy0RS4YW6zO7devH6NGjSperfrWW2/Ro0cPPvvss+J9oqOjmT59eqW+6YpeNw5NrWgNgzVwlFXM5hbtVQXjdouNjWXLli2cOHGixse1JQUFeZw79xfx8Qfx8ChZJ/DOOyN44407uXDhOE5OOkJDe1lsBAD8/VswYMBkRo6cS2FhPj16qK5qgwYlRmDFioeYMqUhv/1WOqrm8mUwrOG7+WYV0TN7tnLfdOxYNSOgtLTU/684Euj557swfrw7sbG/l9quktG1KmcEAFq27MjQoY/Tvv2txduSk+OIizvIzz+v4ezZitfd9OhxbzkjABAS0oPHH19XnNtICBg7Fp58Us25WMMI2BpbuoYSgBZGz4P020ohhBgEzAb6SSntnsfQVqtzZ8+eXep5ixYtiIyMLBfNs2TJEqKioorDGw2hjwbK+vgrSmj36quvlgultFahGnuuYs7Ly6OoqMhs9JQ5l1rZtiuLt7c3WVlZ5dpt9OjRdOnShdDQULPvdQR0Ohfef/8sV69eLpUKOTy8Lw0bNq/RsadNWw4od1nnzhIQ/PlnSaF2f/8WuLi4FcfRp6erCext29Qah9694ZFHaiQBgJCQnrz//jn8/Mz7kIqKCsnISKGgIJ/mzcOLdb/xxjAKCvKYPXu7yfc1bNiM8ePfKd4/IeEYQUERnD9/hICAlgQFta/5BzBi794viY3dzz33vIC7u1flb6hFbOkackZNFg9EGYB9wH1SyiNG+3QBvkC5kE5aclxrTxabczP4+/vj7e1tUQZRY/bu3Ut0dDT9+vXjo48+qrKeqmQuNff+mTNnkpCQQGBgIG+//bZVbtTm2sngXrEm69atY/To0YwePbrUCMqAqbUDhsnyzZs3F6/JAEhNTbVr9FRZ19A337zJn39u5Zlnvi5VTtIWrFv3EpcuxTJ48EOEhfWu8vtzcjJ4//1owsJu5pdfZnLuHNxyi6r6lZmZi6urM9nZzhw7poyAIbTV2xveeKP0nIitkVJy9eolGjQo6VhNnRpAZmYKHToMpE+fcfTrV7upxp99tiPnzv3FK6/8SkhIzxofr06uI5BSFgghHga+R4WPrpBSHhFC/AvYL6XchHIFeQPr9O6Ps1LKu8we1EoY32zNGUJDjQCoWu83KSmJ06dPEx4ezrVr18jOzq5SMrPo6Oga3bCio6Np1aoVffr0oW3btla7+VlSPtJa5Obm4uLigpeX6V6U4TPVxGDai5iYZwD466/tdO16h03PlZGRwi+/xNCt251A1Q1BUlIcGRlJbNq0gJEjH+GTT7zYtcuwkrf06EwIZSA6dFCTwNYyAgsWDCXwQDn6AAAdtUlEQVQ5OZ5HHvmU4GDz9SWEEKWMAMDUqcuIjz/I+vWv4OMTYNIQXL16mXPnDuPvH0SzZip2d9euT2jduistWlg3f3T//pPIykrFx8fxU5vXu5XFpnqTlmJJ7zcnJ4dz586xc+dOpk+fzqBBgyzOJGot4uPjmTFjBh07dmTBggWVv8EC7DkiAEMhkUKcy8YJ2oATJ06wc+dOQkNDS636rg5lRwRnzhzg6tWLdOw4uFxlq6py8OAWDh7cQpcud9CpU/mu4enT+9i9ey1jxy7A2bmKISnAd9+9xx9/fMOkSUto2jSEc+dg5061stnDQ40AXF1VZFSnTrYpwPLII61ITo6nVasuPPvstzRsaFn9BAOJiX9z6ND3NGnSli5dyqeTmDv3Fo4f/4mmTUN4552THD/+E3Pn3kLr1t146qmvLFqlXFtc95PF9sRUiKWlWNL79fDwICwsjB49euDs7MyFCxdo1aoVQgh0Oh1PPPFEtc5dFYKDg9m8ebNVjIBhgtiUEbDW/IMphBB2MQKg3HkzZsxglXHoi5Vo3boLnTsPrbERADh2bBfff7+I06f3mXy9bdvujBv3drWMAMCQIY8ya9ZWmjYNAVSI4/jxaoXz9OnQpMlcTpyIwM/vG5tV4Zo//3d0Ohfi4g6QknLO5D5z5vRl/vzBpKaWT+nerFkYQ4Y8YtIIAEya9AE33BDBxInvA6rgTFTUfSQmniAr64r1Pkgdo96lmKjsZq7T6cwmH6tK9M2RI0fw9fXl6NGSxSdFRUW8++67XLt2jSVLllh8rNqiotFTUFAQCxYscEh3TFUJDw/nwQcfpGfPmvtxbUn37sPx82tMWJj5IuzmMK5kVl0yMpJJSDhGYuLfNTtQBfj4+PP44+vIy8uhceM25V7Pzc3k779/wclJV6rQvKW0aNGeN98sKeTk6urBww/HUFRUaBVjbUxRUSEJCcfJyEgmIqKfVY9tbeqda6iiGPSKok4sXaH72WefsWrVKnbs2GF2VawQgtWrV9v0JiqlJC0tDW9v72onnquorXbt2kXfvn1rItEsr7zyCj///DMzZ86sExXDjDF2Df38cww7d37E5cuniYqKZsyY+Zw7d4RPP32edu36cuedz1j13B4eauJWp1MrVH18lC/f2VltS0lR9QSqmcGES5dOk5ubSZMmbcutJbAXUkpSUxNITDxBhw41c+PZmuzsdCZP9sPV1YOPP86qcQoTzTVkRV599VU8PUsXr/b09KRhw4YVhh4aVuhWFju/detWtmzZYtYIgPoxlw0vtTa9e/emUaNGHDhwoNrHqGj0VFHqjJoQExPDa6+9xtatWxk9enSt1wqoCb//vomjR3eSnHyWw4dVIp2EhKP88cfXrF37HBcvnqrR8Z2dVR78iAiVG6hTJ2jbVhWwDwxUKQrc3JQRAJVLqGNHldCtOjRp0pbg4E42MwKnTu3lww8n89NPa8zuI4TA3z/I4Y0AgKenL61bdyMsLIpr1xw7JXy9cw0ZeuFTp04tTu7m4eFRHCFUEZZED40dO5YVK1ZUeixbRNsY06hRI3x8fMjIyKj2MczF6wcHBxMeHl4TeSYxuKIM30tycrJdKq5du3aN5ORkdDqdVbO2Dhz4IIGBrXB396ZTJ7WiNTy8Dw0aNCMtLZH9+79i2LCnLTpWWtolDhz4lrZtu9Oy5U24uSkD4FbFiFQhVJqHpCSV2bK2yc3N4vz5w7Rq1ZW4uIP8+OMKUlPP4+Sko2HDZqUyqhYWFuDkpKv1VNhVYf58x86LZqDejQgMGKdcSElJsfjHZRgZmGPQoEEEBwdXehxrrfY1x6ZNm0hPT69RFMy8efNwLZMQxdnZ2WYTxBXlSrIle/bsISgoiLFjx1r1uB063Mp99y3k3ntfLM5S2bBhM6Kj36BTpyGlSkxWxt9//8KyZZOJiXkGNzeVtqCqRsCY6gzoioqK+PLLf7Fs2RSrpSyZNasrL77Yi4SEY0RE9Gfy5KX4+7fk/ffvY9u2D0rt+8MPy3j22Zv4/fevrXJujRLqnSE4dOgQU6dOLee6qcpcSWW9eVPuJ2NsGW1jwBoRN7fccgt5eXmltvn5+XH58mX2799v9ZQT9lyrYIyXlxfNmzcvV0/aVvTpE83MmVu4+eYxFr/H1zeQ3r3HEBU1hJtuqlpGUlP4+5dU97IUJycnvv9+ETt3fkRaWs2rtK9dO7N44jk3N4PmzcMZNOhBBg2aTs+eowgPL5kUFwLy83M5f/5IhXUDHBEpJQUF+ZXvWIvUu8ni1atXM378eLOvVxQ1ZKCi2Pnt27fj5uZGbGwsL7/8cq2ucq0pcXFxjB8/nj179pQr2uLi4kJBQUE5A+rl5YW7uzupqakmPzeYXwhm77UKtsAwWXzp0mlOnfqN1q27kpqaQHz8QSIj7+bAgc34+PjTvfu9JguomKNJE1XZrCajgLIkJakCOFW5BXz//fs4O7vRq9eo4qR31WXWrEjOnPmdl1/eVZzu2hgnJzX53bixmiiNjy/g5Zcf4MEHV+DsbN3Ke15eqg6Dk5NKhe3qqqKskpPV+omiIlVMyBSGNNqnTEz5/PDDf1iz5kluvXUa48a9VSONdXJlsaMyYMAAAgICTJaCtMQIVNSbj4mJYfz48RQVFdV6eOVPP/3ESy+9hJeXF4cPH67WCtxWrVpx9uxZk5W78ssmWNeTlZVFVlYWQKl5l/j4eB544AGEEMWjjPj4eMaNG8f9999vtu3tMXoqWy4ULDdeZd/fpElLRox4ldTU86xdO5MBA6aQnZ3G3r1f4OvbmDVrnqSwsIBVq7JJTb2Aj49/haknfHzU5K+ZRdY1IjBQ3WiPHzd/kyvLbbeZTB5cLR599FPi4g7QqlUXQOXmcXPzIiKiHzfc4EHr1qWT1rVp48zHH68mNRVOm649Uy18fVV6Z8O5vI3mwo2njK5eVRFXBQUqs6jh59q2rTpGVpbaboy7uze5uZmkpZV5wcGoFyMCw4UaHx9ffMMxFypaWeIyQ81g4/1MbYPaLQozc+ZMFi5cWOE+Bt2GNgkODub2228vztdjzXoJ1cFQc9iW7VfZSnMXF5dSxgvUb2T69OlERUXx2GOPlQs0cHX1ZPDghzh37i8GDZpBZmYKcXEH6N79Hg4d+o7MzBQSE09y/Pgu5sz5uZQLpOQcKronMBByc3M4c+YkISE32qQGdV6eKoJjCCt1dVWRRrm56rGUah9bYPg4ly8n8thjrcnPv8aOHck0b+5NSspl0tPTmDPnEUaNmsSIESUj+cuXS9d4rozGjdV7yuLrq6rEVdWTeu2aqrrm5qZ66qDa6fBhZRAM5OZmUVCQh5dXA4cOH73uDUF1UkpUZgyqQm24NWJiYkpFRdVFrF09zBzWqm1Qlsry6S9ePI4DB75l+vSPiYwsnV7LkMbB11c937z5Cx56aBRduvRi/fo9Jo5WcwoLVfnE3FxlgMreGPPylOvjwoUrrFv3ElIWMWnSYpPHio39ncaNA2nbVgVECKEMixDqxu/hoXrfzs5qruPee3tz4MCv/POfU0hPT2PJknX07Nmcy5cTGT16Mp9//hGjR09m4cLlpc4TF1dSBKgi/PzU5Hp6uto/L09p8Pe3fqK8nBz466/yi/eEUIZCCPVXnbl2zTVUA6qTUkJKSXBwMGfPnsXJyalSd1FF2Hqi0xSzZ8+u00YAoLCw0C6ho7b6flJSyh/32rVsXF09aNBA8PDDyykqci3udHz66Sy8vBrw6KPP0bgx7Nu3i/PnzzBixAQCAprQpElzBg8ebuJM1kGnq7hymqurupnGxh5i61aVnmHs2AV4ePiQl5dbPN/h6QmrV0/h+PGDrFv3M5GRarRz5MgBmjdvScOGajXwI4+MYe/e/7F2rSpS6OTkxKhRD9C1q0qW17TpDQghGDNmCj179iM0NKKcpuBgVQQ+vZJSyoYgPl/fEuNqKzw8VFhvYWHJzd+wnsOAlEpzWpqqT52ZqbaZK7ZjD677qKHqXOiGXnxRUVGNw+RsHSZqitowPrbAHqGjtvp+GjRoVryQSwhwd5e88EJn1q17gJCQfLp1c6NxY4EQKm3Cpk0LWL9+DjrdRU6dOsKYMf348stVXLmSQo8effnuu7+YOtWyNQe2QggYOrQvjz76L1577Utat/amoOA0c+d25/Ll9XTrBu3bF3HDDS3w929M+/bK95+Xl8eMGSMYM6YfqanJFBQU8MMPX5OUdJHz5+NYtOgzDh/OoFu3m4tvhF999Ru//ppAly69uPfecdx0UzeTekJDzbt1fHwgPFwZJ3vi7a1GIb6+6v+cOdNo3VqQkKCuyz17djByZAS7d/+H9u2he3c4duxDZs26kYyMvQQEKM1bt77Hxx8/ajbnkjW57g1BZRd6WQtcdnKyJjcKe0x0msKWxsdUWKyXlxdOVS1FZSG2Nmq2+n48PHR061ZEr16qVq2v70nOnz/Jhg2r2Lr1K5yd1SRj165w441FTJ78BO+99ykBAU0IC2vP8OH3ExISUdyDbtCgETqddXPhVAeVOPFFxoy5l1atBFu3vsOFC6d56aUpnD17Ap3OieXLN7Fv30U8PNRvJS7uJBcvnqdly7b4+Pjh7OzM11//wdtvr6Zv38HccEPL4n0NWNozdnExPZJxd1c98ypkgLcZ8fEqnOjMGRUqm5FxlVOnjrF06QKKiopwcoKMjMvExZ1g/frXCQlRK8APH/6C779fhJ9fLB07qrkMW1Gv5wjKFjMxFxFSnbTV9vJxm6ImqbYrwjB5ayqCxpbntPUcS0BAgEUryy3Bz68BkyY9yYwZM8tN7CYmnuf3339hyJARla7zyMnJ5rfffqJfvxo4he1EXl4eFy6cJTi4rckbeF5eHn/9tZ9OnXrYLKPs6dPKfXX1qnK1hIXZJk12dTh69CC7d+8gOno6Hh6epKence7cmVKusvPn40lKSqRdu47FRvHbb9dx+fIF/vGP4QQFBePmplKKVJdamywWQgwB/o0qTLNcSrmgzOtuwCdANyAF+KeUMq6iY1oraqgqESlViTqC2o0WMmAqJNKwgrpstJMlWPKZjNupbPsYnptrP1PROfZqR2sYMUMk0SuvLHGI1A31lcJCFcIZ5LhlBaqNLQ2BzVxDQggdsBgYCkQAY4UQZWd8JgNXpJQhwDtAxfGO1SQ6Opq4uDj9Cj+1CCouLs7iG4yp9xcVFSGlRErJmjVrCA4ORghBcHBwrRsBY81FRUUkJyeTnJxcTndhYWEp/UCx+8Hf3x9/f/8qfSbjdlq9enWpNlm9enWp9iv7+sqVK1mxYkWttGN0dDTLli0rde6BAweadBvOmDGjXFsZPl9dSC1+vaPTXZ9GwNbYsmZxb2COlPI2/fPnAaSUrxnt871+nz36GscXgUBZgShr1yzW0DBHdepHp6Q4RjI3jesPW44IbBk+egNgPN19Hihb+aN4H32N46uAP1B+2a+Ghp2paf1oDY26Qp2IGhJCTBNC7BdC7E9KSqptORoadQ5Pz9LpGjQ0jLHlTyMBaGH0PEi/zeQ+eteQH2rSuBRSymVSykgpZWRgYKCN5GpoXF+4uqqY9qZNVYqFoCAVTmnNxHUa1we2NAT7gFAhRGshhCswBthUZp9NwAT945HAjormBzQ0NMwjRMniKQ8P5U8OCChJWe3kpBY4NWtmWW4dZ2dlRIKCbL8ityKEsH4qCI3S2GyOQO/zfxj4HhU+ukJKeUQI8S9gv5RyE/ARsFoIcQpIRRkLDQ0NC3F2Vj38rCyVO8fbW+XScXFRN1BzeHurFAcVERhYMnpo1Ajy86tf77gmNGqkVglnZSkNGtanzi0oE0IkAfZKiRmAY05ca7qqhqPqAsfVpumqGo6qC0q0BUspTfrW65whsCdCiP3mwq1qE01X1XBUXeC42jRdVcNRdYFl2rQ4Ag0NDY16jmYINDQ0NOo5miGomGW1LcAMmq6q4ai6wHG1abqqhqPqAgu0aXMEGhoaGvUcbUSgoaGhUc+p14ZACOFX2xpMIYTwqW0NpnDU9gIQQjhACZLyCCH8a1uDKbT2qjrX83VZLw2BEMJbCPE2sF4I8bgQonNtawIQQngJIRYDXwoh7hNCtK5tTeC47QUghPDUt9l3QohHhBBd9Ntr9betb7N3gG+FEPOEEANqU48Brb2qTn24LuudIdA31lYgD3gZtdji/2pVVAn/AnyBeUAXYEHFu9seB28vgCdRGWsnAO7AhwBSypoVm64BQohQYANQCEwCkoBZtaWnDFp7VZ3r/rqsd4YAuAp8IKWcKaX8GfgJKNRbfcsKpVoRfbI9hBDegA8wX0q5C3gVcBJCvGBvTWVwqPYCEEK46/87A67Af6WUx6WUbwBJ+p5lbfZys4BlUsqnpZRHgc1AohCiVkqmaO1VderbdXndGwIhRKgQ4lnDcynlGVTvw0A2ECalzLJnwjshRDshxErgX0KIYCllJtAQuE+vMw1VsW2kEKKpHXU5ZHvptYUJIWKARUKISCllAeAN9DbabTowTggRZK9erhAiXAjxuuG5lPICsMVoF0+gnZTyvD30GOnS2qvq2urldXldGwIhxH3ADuAZIcQ0/Tad/ss10AY4Ymdd/sBK4DAqId98IcQg4HlgtBDCkA/kT+BH4A476XLI9tLr8EC5MQ6h2uUhIcRk1EU5XQgRACClPAesAabaSdcdwHrgaSHETP025zJt1gg4YQ89Rrq09qq6tnp7XV7XhgBVFW0CcBfqx+8ppSwUCsNnbwP8ASCEuFsIEWwHXe2AbCnlW6gf2Rbgn6gf33pU/WaklHkov6m9qvE4ansBtAWypJSvSykXAcuBewAP4ANKL5r5W/9ZsIP76hIQDYQBzwkhvPWZd52Mzh2B/iLVTzaG2VgTaO1VHertdXldGwK9T+8nKeUe4C9gjv4lJ6Nh8E1ACyHEJuB+oMAO0v4A3IQQ3fQ6fkGV7LxHr7GXEGK6EOI24BbALkN2B24vpJSHgVZCiFv0m/4EfgCeBWYDjYQQLwshRgNTgBz9+2zqvpJS7geOSylPAd8BS/UvCaNz9wEChRAbUDdBmydT1tqrWtTf61JKWef/AL8yz4WJfTroG/Emo22BqPSsu4F/2kBXQ8ClrC5UBMIsYJ7Ra3cD7+ofRwFPAL8C0fbSVdvtpT+Hq4ltTvr/jwBrjLZ3RtW0CED1MMejIils0WbldJn5XtOA7kavuaFuwr8Do22gqwHgbKzFQdqrnC5HaC/9ORoBnmb01OZ1aVJXmX1scl1avZHt/Qe8ABxE9XL+qd+mM7Pvv4CP9I976P9PtJGul4GzqCH4oyZeH6S/KIfpn4cB+wF3G7dXhbpqq730x16Iclu01j8XZV4PAb4EJuif+6MKHzW1cZtVqMv4Nwe8COzUPx6i/z/cRrpe0t8UlgIPG+uo5faqUFdttZf+2C8AR4EVwEwTbVZb12WFusrsa/Xr0mYfzB5/wDTga1Q95C4on11IBfu7oCxnJvAK+p6TDXTdDGxH9TA6AyeBqDL7+KJ6ZH+g6jaPREUBBNiwvSrVVUvtpQOeQk0QLgcmVbDvYOA00BUYDewEWjqALuMebwGQAfwbo5GXFXU1QBny/6J8w32BRMMNvowWe7ZXhbpqq7305/BDGfO1+vtFJ1TNdB/964ZRlF2vy8p0mXmP1a9Lq38wW/8Bvvr/OuB14B6j17YD35r60aGGT5tQtZT72EiboZfTE1iHvhcBPA6sAm4w8Z4XgdWoHlRvR9Blr/Yqc85gVI91PPAWEGnQYmLfGcB7KPeBWUNWC7oCgP8AB2ypCzXhe2eZbSuA28zsb5f2qoYuu7SX/lwu6Ed0+ud3o0Ys5Yyn/rnNr0tLdJXZ12bXpc0a3gYN1lD/ozHM5LujemufAU1Riz7eRVnTgfr3OBm93xX90NPKuvyBJRj1soAB+m0hBh3AN8B9+uc6SveIPB1El83bqwJtLvr/QShXzJOAh36bMP5vaENH0WW0r7MtbmhmdHkbPfbR3xhal3lfbbRXpbps3V7mtOm3O+nvH/GonvjPlLikauW6tECX7e9jtvgSbPTFfqj/G4C64f9Hv/0/qDjoo/qGfAiIKfPecr03K2mKALahoho+MtruDHyB6kV66rdFA7/aqa1qpMtW7VWRtjL7jED1YAfb8fdVl3U1QkXg2MStUpd0WaINaGP0+H7gWF3QZcvrsk6EjwqV9c8FeFVKuRM1WRIkhJgipZyKmpwaKqX8DEhBTe4Ux0RLfSvagKvAXJSfr48Qoq/+fAUo43Q7YKgV+gUQJ+yTwbNGumzYXma1QakY9h9QE9odhBCPCiH+aUM9dVaXEW2ADCllvhBipD68sb7qMqvNEHMvpYw12vdz4KwQorGj67LldVknDIGUMgPlqx2hf56KGqb/nxDCT0oZK6WMF0K0BSYDqfr9bHlDQ0qZAByQUmajJsnmGL32FWpYPEOovCSbgXQp5VVbanJkXRZok0IIIdUy/gxgJvAocEXTVV6XEQNR8e8rgKfRrwmoj7oq0ib1MfcGwy5UsrvPgZNSysv1VZdBnEP/UTLR2Qe12tBL/9wd5Usbo39+D3AceKoWtf4OTDZ67gp0BN5EH0an6apYm35bMMpX6jDfpYPrWoxa+PSgpqtybahcRo+hT72h6XKgOQLUisf79Y+NJ2ycKJksXI3KuGd47X3gH/rHN2CDWN+KdBk9dtb/vxPllnIC7kUfjYMNfHuOqssK2prrt7tpuirVNQKVRK4XtpnYdEhdVtDmh0rB4WhtZjNdleq29wlNNJwPqmeahOpt+Rm9ZtyQLVAxvnHARFTCp9+BQbWsK6zM+w6j0upuBJrUF11W0rbJQdvMUXV9AwTWF11W0va1g7aZTXRZrL/WTlxiFXXAHfrHq4E3jRsPFba3Ftiofz4Q5W/cA4xwAF1fAo1RMdRPArHA3fVFlyNr03RdH7ocWZuj6qry57D7CVUI45uoVYSDDY2o/x8MnAHaG+0/Eni2LujCKP/H9a7LkbVpuq4PXY6szVF1VffPYK3sgn5WfDHKxbMF5eL5Clgupbym32cBEC6lvMfE+3VSykIH1OUsVWhmvdDlyNo0XdeHLkfW5qi6aoQ9rQ6q4XZTkt/jNpRFvd9oH1fUrHlvoD1wq367LRc5abquE22arutDlyNrc1RdNfmz6zoCKWU6JZO9oPJ9HwBuFvqyb1IVffhE/9qXqPwaSH0rarpqX5cja9N0XR+6HFmbo+qqCbWxoGwD0FkI0UyqUmt/ArlAMwAhRH9U2bzXpJTtpJQ/aLocUpcja9N0XR+6HFmbo+qqFrVhCH5GpVCdCCCl/APogVpMAWoBSl8p5WxNl0PrcmRtmq7rQ5cja3NUXdXC2d4nlFImCiE2AguEEKdQ6Q5yUTVAkVKetrcmTdf1pU3TdX3ocmRtjqqr2tTGxITeTTYUlav8OLWc5kDTdX1q03RdH7ocWZuj6qrqn13DR8sihHBBzZ84VCiVpqvqOKo2TVfVcFRd4LjaHFVXVahVQ6ChoaGhUfvUiTTUGhoaGhq2QzMEGhoaGvUczRBoaGho1HM0Q6ChoaFRz9EMgYaGhkY9RzMEGhqVIIQoFEIcFEIcEUIcEkI8ZSg4XsF7Wgkh7rOXRg2NmqAZAg2NysmRUnaWUrYH/oFaRPRyJe9pBWiGQKNOoK0j0NCoBCFEppTS2+h5G1RKgQBUEZLVgJf+5YellLuFEL8CN6IKlKwC3gMWAP0BN2CxlPJDu30IDY0K0AyBhkYllDUE+m1pQDiQARRJKXOFEKHAWillpD775NNSymH6/acBjaWU84QQbqj0xKOklGfs+mE0NExg96RzGhrXGS7A+0KIzqiEY2Fm9hsMdBRCjNQ/9wNCUSMGDY1aRTMEGhpVRO8aKgQuo+YKLgGdUHNuuebeBjwipfzeLiI1NKqANlmsoVEFhBCBwFLgfan8qn5AopSyCBgH6PS7ZgA+Rm/9HpihT1CGECJMCOGFhoYDoI0INDQqx0MIcRDlBipATQ6/rX9tCfClEGI88B2Qpd/+J1AohDgEfIyqadsK+ENf/DwJGG6vD6ChURHaZLGGhoZGPUdzDWloaGjUczRDoKGhoVHP0QyBhoaGRj1HMwQaGhoa9RzNEGhoaGjUczRDoKGhoVHP0QyBhoaGRj1HMwQaGhoa9Zz/B1QR9NX4f+NxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c95e522a640c4b45a782169388452fc9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.01707487367093563, 'log': {'agg_test_loss': 0.060435570776462555, 'agg_test_loss_p': 0.01707487367093563, 'agg_test_loss_kl': 0.043360695242881775, 'agg_test_loss_mse': 0.04900040477514267, 'agg_test_loss_p_weighted': 0.0001591588807059452, 'agg_test_score': 0.01707487367093563}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.384540</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.026797</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.039882</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.051930</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.063805</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.114158</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.602573</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853             0.384540   \n",
       "agg_test_loss_p                 0.136680      0.308816             0.344658   \n",
       "agg_test_loss_kl                0.000092      0.009037             0.039882   \n",
       "agg_test_loss_mse               0.053102      0.044686             0.051930   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492             0.063805   \n",
       "agg_test_score                  0.136680      0.308816             0.344658   \n",
       "n                               3.000000      3.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                   0.394125                         0.602573   \n",
       "agg_test_loss_p                 0.387186                         0.602573   \n",
       "agg_test_loss_kl                0.006939                              NaN   \n",
       "agg_test_loss_mse               0.045177                         0.046267   \n",
       "agg_test_loss_p_weighted        0.069565                         0.114158   \n",
       "agg_test_score                  0.387186                         0.602573   \n",
       "n                               3.000000                         2.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     0.854500                    1.026797   \n",
       "agg_test_loss_p                   0.854500                    0.965398   \n",
       "agg_test_loss_kl                       NaN                    0.061399   \n",
       "agg_test_loss_mse                 0.067944                    0.053994   \n",
       "agg_test_loss_p_weighted          0.150794                    0.185951   \n",
       "agg_test_score                    0.854500                    0.965398   \n",
       "n                                 2.000000                    3.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  anp-rnn_pt_mean   np_mean  \\\n",
       "agg_test_loss                        1.022596         1.157510  1.327100   \n",
       "agg_test_loss_p                      1.022002         1.142826  1.297524   \n",
       "agg_test_loss_kl                     0.000594         0.014684  0.029577   \n",
       "agg_test_loss_mse                    0.166312         0.045285  0.049878   \n",
       "agg_test_loss_p_weighted             0.183035         0.214536  0.235458   \n",
       "agg_test_score                       1.022002         1.142826  1.297524   \n",
       "n                                    3.000000         3.000000  2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.546630                  2.030935   \n",
       "agg_test_loss_p                      1.546630                  2.030935   \n",
       "agg_test_loss_kl                          NaN                       NaN   \n",
       "agg_test_loss_mse                    0.066195                  0.051643   \n",
       "agg_test_loss_p_weighted             0.294457                  0.359195   \n",
       "agg_test_score                       1.546630                  2.030935   \n",
       "n                                    2.000000                  2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        2.489498  \n",
       "agg_test_loss_p                      2.489498  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.048283  \n",
       "agg_test_loss_p_weighted             0.428947  \n",
       "agg_test_score                       2.489498  \n",
       "n                                    2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'TransformerSeq2Seq_PL_lstm', 'params': {'use_lstm': True}, 'PL_MODEL_CLS': <class 'neural_processes.models.transformer_seq2seq.TransformerSeq2Seq_PL'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=TransformerSeq2Seq_PL_lstm, trial=<optuna.trial.FixedTrial object at 0x7f8dec591358> params={'learning_rate': 0.002, 'attention_dropout': 0.2, 'hidden_size_power': 5, 'hidden_out_size_power': 4, 'nhead_power': 3, 'nlayers': 2, 'use_lstm': True, 'agg': 'max'} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'patience': 2, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/TransformerSeq2Seq_PL_lstm/version_-1200/_ckpt_epoch_3.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c43507e914a24342bc7d47c4cfca2cc5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=57.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.6076895594596863, 'log': {'agg_test_loss': 0.6076895594596863, 'agg_test_loss_p': 0.6076895594596863, 'agg_test_loss_mse': 0.05120475962758064, 'agg_test_loss_p_weighted': 0.11512292921543121, 'agg_test_score': 0.6076895594596863}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.384540</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.026797</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.039882</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.051930</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.047913</td>\n",
       "      <td>0.066200</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.063805</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.114480</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.623226</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853             0.384540   \n",
       "agg_test_loss_p                 0.136680      0.308816             0.344658   \n",
       "agg_test_loss_kl                0.000092      0.009037             0.039882   \n",
       "agg_test_loss_mse               0.053102      0.044686             0.051930   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492             0.063805   \n",
       "agg_test_score                  0.136680      0.308816             0.344658   \n",
       "n                               3.000000      3.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                   0.394125                         0.604279   \n",
       "agg_test_loss_p                 0.387186                         0.604279   \n",
       "agg_test_loss_kl                0.006939                              NaN   \n",
       "agg_test_loss_mse               0.045177                         0.047913   \n",
       "agg_test_loss_p_weighted        0.069565                         0.114480   \n",
       "agg_test_score                  0.387186                         0.604279   \n",
       "n                               3.000000                         3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.623226    0.706919   \n",
       "agg_test_loss_p                             0.623226    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.066200    0.048069   \n",
       "agg_test_loss_p_weighted                    0.118092    0.135607   \n",
       "agg_test_score                              0.623226    0.699513   \n",
       "n                                           2.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     0.854500                    1.026797   \n",
       "agg_test_loss_p                   0.854500                    0.965398   \n",
       "agg_test_loss_kl                       NaN                    0.061399   \n",
       "agg_test_loss_mse                 0.067944                    0.053994   \n",
       "agg_test_loss_p_weighted          0.150794                    0.185951   \n",
       "agg_test_score                    0.854500                    0.965398   \n",
       "n                                 2.000000                    3.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  anp-rnn_pt_mean   np_mean  \\\n",
       "agg_test_loss                        1.022596         1.157510  1.327100   \n",
       "agg_test_loss_p                      1.022002         1.142826  1.297524   \n",
       "agg_test_loss_kl                     0.000594         0.014684  0.029577   \n",
       "agg_test_loss_mse                    0.166312         0.045285  0.049878   \n",
       "agg_test_loss_p_weighted             0.183035         0.214536  0.235458   \n",
       "agg_test_score                       1.022002         1.142826  1.297524   \n",
       "n                                    3.000000         3.000000  2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.546630                  2.030935   \n",
       "agg_test_loss_p                      1.546630                  2.030935   \n",
       "agg_test_loss_kl                          NaN                       NaN   \n",
       "agg_test_loss_mse                    0.066195                  0.051643   \n",
       "agg_test_loss_p_weighted             0.294457                  0.359195   \n",
       "agg_test_score                       1.546630                  2.030935   \n",
       "n                                    2.000000                  2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        2.489498  \n",
       "agg_test_loss_p                      2.489498  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.048283  \n",
       "agg_test_loss_p_weighted             0.428947  \n",
       "agg_test_score                       2.489498  \n",
       "n                                    2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'TransformerSeq2Seq_PL', 'PL_MODEL_CLS': <class 'neural_processes.models.transformer_seq2seq.TransformerSeq2Seq_PL'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=TransformerSeq2Seq_PL, trial=<optuna.trial.FixedTrial object at 0x7f8dec426518> params={'learning_rate': 0.002, 'attention_dropout': 0.2, 'hidden_size_power': 5, 'hidden_out_size_power': 4, 'nhead_power': 3, 'nlayers': 2, 'use_lstm': False, 'agg': 'max'} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'patience': 2, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/TransformerSeq2Seq_PL/version_-1200/_ckpt_epoch_12.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4422e07180594d32a8b05d4b9c4f1fa7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=57.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.602739155292511, 'log': {'agg_test_loss': 0.602739155292511, 'agg_test_loss_p': 0.602739155292511, 'agg_test_loss_mse': 0.04642687365412712, 'agg_test_loss_p_weighted': 0.11419355869293213, 'agg_test_score': 0.602739155292511}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.384540</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.026797</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.039882</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.051930</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.047913</td>\n",
       "      <td>0.059609</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.063805</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.114480</td>\n",
       "      <td>0.116793</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.359195</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.030935</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853             0.384540   \n",
       "agg_test_loss_p                 0.136680      0.308816             0.344658   \n",
       "agg_test_loss_kl                0.000092      0.009037             0.039882   \n",
       "agg_test_loss_mse               0.053102      0.044686             0.051930   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492             0.063805   \n",
       "agg_test_score                  0.136680      0.308816             0.344658   \n",
       "n                               3.000000      3.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                   0.394125                         0.604279   \n",
       "agg_test_loss_p                 0.387186                         0.604279   \n",
       "agg_test_loss_kl                0.006939                              NaN   \n",
       "agg_test_loss_mse               0.045177                         0.047913   \n",
       "agg_test_loss_p_weighted        0.069565                         0.114480   \n",
       "agg_test_score                  0.387186                         0.604279   \n",
       "n                               3.000000                         3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.616397    0.706919   \n",
       "agg_test_loss_p                             0.616397    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.059609    0.048069   \n",
       "agg_test_loss_p_weighted                    0.116793    0.135607   \n",
       "agg_test_score                              0.616397    0.699513   \n",
       "n                                           3.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     0.854500                    1.026797   \n",
       "agg_test_loss_p                   0.854500                    0.965398   \n",
       "agg_test_loss_kl                       NaN                    0.061399   \n",
       "agg_test_loss_mse                 0.067944                    0.053994   \n",
       "agg_test_loss_p_weighted          0.150794                    0.185951   \n",
       "agg_test_score                    0.854500                    0.965398   \n",
       "n                                 2.000000                    3.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  anp-rnn_pt_mean   np_mean  \\\n",
       "agg_test_loss                        1.022596         1.157510  1.327100   \n",
       "agg_test_loss_p                      1.022002         1.142826  1.297524   \n",
       "agg_test_loss_kl                     0.000594         0.014684  0.029577   \n",
       "agg_test_loss_mse                    0.166312         0.045285  0.049878   \n",
       "agg_test_loss_p_weighted             0.183035         0.214536  0.235458   \n",
       "agg_test_score                       1.022002         1.142826  1.297524   \n",
       "n                                    3.000000         3.000000  2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.546630                  2.030935   \n",
       "agg_test_loss_p                      1.546630                  2.030935   \n",
       "agg_test_loss_kl                          NaN                       NaN   \n",
       "agg_test_loss_mse                    0.066195                  0.051643   \n",
       "agg_test_loss_p_weighted             0.294457                  0.359195   \n",
       "agg_test_score                       1.546630                  2.030935   \n",
       "n                                    2.000000                  2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        2.489498  \n",
       "agg_test_loss_p                      2.489498  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.048283  \n",
       "agg_test_loss_p_weighted             0.428947  \n",
       "agg_test_score                       2.489498  \n",
       "n                                    2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'LSTMSeq2Seq_PL_attn', 'PL_MODEL_CLS': <class 'neural_processes.models.lstm_seqseq.LSTMSeq2Seq_PL'>, 'params': {'use_self_attn': True, 'use_cross_attn': True}}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=LSTMSeq2Seq_PL_attn, trial=<optuna.trial.FixedTrial object at 0x7f8dec31c668> params={'learning_rate': 0.001, 'lstm_dropout': 0.22, 'hidden_size_power': 6.0, 'lstm_layers': 3, 'bidirectional': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'patience': 2, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/LSTMSeq2Seq_PL_attn/version_-1200/_ckpt_epoch_3.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "73c13cc822e74d6eb21c357ec99a1e06",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 2.012340784072876, 'log': {'agg_test_loss': 2.012340784072876, 'agg_test_loss_p': 2.012340784072876, 'agg_test_loss_mse': 0.04674893990159035, 'agg_test_loss_p_weighted': 0.4223657548427582, 'agg_test_score': 2.012340784072876}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.384540</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.026797</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.039882</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.051930</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.047913</td>\n",
       "      <td>0.059609</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.050012</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.063805</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.114480</td>\n",
       "      <td>0.116793</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.380252</td>\n",
       "      <td>0.428947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.489498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853             0.384540   \n",
       "agg_test_loss_p                 0.136680      0.308816             0.344658   \n",
       "agg_test_loss_kl                0.000092      0.009037             0.039882   \n",
       "agg_test_loss_mse               0.053102      0.044686             0.051930   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492             0.063805   \n",
       "agg_test_score                  0.136680      0.308816             0.344658   \n",
       "n                               3.000000      3.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                   0.394125                         0.604279   \n",
       "agg_test_loss_p                 0.387186                         0.604279   \n",
       "agg_test_loss_kl                0.006939                              NaN   \n",
       "agg_test_loss_mse               0.045177                         0.047913   \n",
       "agg_test_loss_p_weighted        0.069565                         0.114480   \n",
       "agg_test_score                  0.387186                         0.604279   \n",
       "n                               3.000000                         3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.616397    0.706919   \n",
       "agg_test_loss_p                             0.616397    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.059609    0.048069   \n",
       "agg_test_loss_p_weighted                    0.116793    0.135607   \n",
       "agg_test_score                              0.616397    0.699513   \n",
       "n                                           3.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     0.854500                    1.026797   \n",
       "agg_test_loss_p                   0.854500                    0.965398   \n",
       "agg_test_loss_kl                       NaN                    0.061399   \n",
       "agg_test_loss_mse                 0.067944                    0.053994   \n",
       "agg_test_loss_p_weighted          0.150794                    0.185951   \n",
       "agg_test_score                    0.854500                    0.965398   \n",
       "n                                 2.000000                    3.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  anp-rnn_pt_mean   np_mean  \\\n",
       "agg_test_loss                        1.022596         1.157510  1.327100   \n",
       "agg_test_loss_p                      1.022002         1.142826  1.297524   \n",
       "agg_test_loss_kl                     0.000594         0.014684  0.029577   \n",
       "agg_test_loss_mse                    0.166312         0.045285  0.049878   \n",
       "agg_test_loss_p_weighted             0.183035         0.214536  0.235458   \n",
       "agg_test_score                       1.022002         1.142826  1.297524   \n",
       "n                                    3.000000         3.000000  2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.546630                  2.024737   \n",
       "agg_test_loss_p                      1.546630                  2.024737   \n",
       "agg_test_loss_kl                          NaN                       NaN   \n",
       "agg_test_loss_mse                    0.066195                  0.050012   \n",
       "agg_test_loss_p_weighted             0.294457                  0.380252   \n",
       "agg_test_score                       1.546630                  2.024737   \n",
       "n                                    2.000000                  3.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        2.489498  \n",
       "agg_test_loss_p                      2.489498  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.048283  \n",
       "agg_test_loss_p_weighted             0.428947  \n",
       "agg_test_score                       2.489498  \n",
       "n                                    2.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'LSTMSeq2Seq_PL', 'PL_MODEL_CLS': <class 'neural_processes.models.lstm_seqseq.LSTMSeq2Seq_PL'>, 'params': {'use_self_attn': False, 'use_cross_attn': False}}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=LSTMSeq2Seq_PL, trial=<optuna.trial.FixedTrial object at 0x7f8d6e5a9908> params={'learning_rate': 0.001, 'lstm_dropout': 0.22, 'hidden_size_power': 6.0, 'lstm_layers': 3, 'bidirectional': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_extra_target': 96, 'vis_i': '670', 'num_context': 336, 'input_size': 18, 'input_size_decoder': 17, 'context_in_target': False, 'output_size': 1, 'min_std': 0.005, 'x_dim': 17, 'y_dim': 1, 'patience': 2, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/LSTMSeq2Seq_PL/version_-1200/_ckpt_epoch_14.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "329a7cc91e484f26ba784a723adb7f45",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 2.8598482608795166, 'log': {'agg_test_loss': 2.8598482608795166, 'agg_test_loss_p': 2.8598482608795166, 'agg_test_loss_mse': 0.0674910917878151, 'agg_test_loss_p_weighted': 0.5464612245559692, 'agg_test_score': 2.8598482608795166}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.384540</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.706919</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.026797</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.039882</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.051930</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.047913</td>\n",
       "      <td>0.059609</td>\n",
       "      <td>0.048069</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.050012</td>\n",
       "      <td>0.054685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.063805</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.114480</td>\n",
       "      <td>0.116793</td>\n",
       "      <td>0.135607</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.380252</td>\n",
       "      <td>0.468119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853             0.384540   \n",
       "agg_test_loss_p                 0.136680      0.308816             0.344658   \n",
       "agg_test_loss_kl                0.000092      0.009037             0.039882   \n",
       "agg_test_loss_mse               0.053102      0.044686             0.051930   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492             0.063805   \n",
       "agg_test_score                  0.136680      0.308816             0.344658   \n",
       "n                               3.000000      3.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                   0.394125                         0.604279   \n",
       "agg_test_loss_p                 0.387186                         0.604279   \n",
       "agg_test_loss_kl                0.006939                              NaN   \n",
       "agg_test_loss_mse               0.045177                         0.047913   \n",
       "agg_test_loss_p_weighted        0.069565                         0.114480   \n",
       "agg_test_score                  0.387186                         0.604279   \n",
       "n                               3.000000                         3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  anp_c_mean  \\\n",
       "agg_test_loss                               0.616397    0.706919   \n",
       "agg_test_loss_p                             0.616397    0.699513   \n",
       "agg_test_loss_kl                                 NaN    0.007406   \n",
       "agg_test_loss_mse                           0.059609    0.048069   \n",
       "agg_test_loss_p_weighted                    0.116793    0.135607   \n",
       "agg_test_score                              0.616397    0.699513   \n",
       "n                                           3.000000    2.000000   \n",
       "\n",
       "                          LSTM_PL_STD_mean  anp-rnn_extras_no_det_mean  \\\n",
       "agg_test_loss                     0.854500                    1.026797   \n",
       "agg_test_loss_p                   0.854500                    0.965398   \n",
       "agg_test_loss_kl                       NaN                    0.061399   \n",
       "agg_test_loss_mse                 0.067944                    0.053994   \n",
       "agg_test_loss_p_weighted          0.150794                    0.185951   \n",
       "agg_test_score                    0.854500                    0.965398   \n",
       "n                                 2.000000                    3.000000   \n",
       "\n",
       "                          anp-rnn_extras_mean  anp-rnn_pt_mean   np_mean  \\\n",
       "agg_test_loss                        1.022596         1.157510  1.327100   \n",
       "agg_test_loss_p                      1.022002         1.142826  1.297524   \n",
       "agg_test_loss_kl                     0.000594         0.014684  0.029577   \n",
       "agg_test_loss_mse                    0.166312         0.045285  0.049878   \n",
       "agg_test_loss_p_weighted             0.183035         0.214536  0.235458   \n",
       "agg_test_score                       1.022002         1.142826  1.297524   \n",
       "n                                    3.000000         3.000000  2.000000   \n",
       "\n",
       "                          PL_Transformer_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.546630                  2.024737   \n",
       "agg_test_loss_p                      1.546630                  2.024737   \n",
       "agg_test_loss_kl                          NaN                       NaN   \n",
       "agg_test_loss_mse                    0.066195                  0.050012   \n",
       "agg_test_loss_p_weighted             0.294457                  0.380252   \n",
       "agg_test_score                       1.546630                  2.024737   \n",
       "n                                    2.000000                  3.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        2.612948  \n",
       "agg_test_loss_p                      2.612948  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.054685  \n",
       "agg_test_loss_p_weighted             0.468119  \n",
       "agg_test_score                       2.612948  \n",
       "n                                    3.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'anp_c', 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_ANP'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=anp_c, trial=<optuna.trial.FixedTrial object at 0x7f8d7118e5f8> params={'learning_rate': 0.003, 'num_heads_power': 2, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_det_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'attention_dropout': 0.5, 'batchnorm': False, 'use_deterministic_path': True} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/anp_c/version_-1200/_ckpt_epoch_9.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3985e89dcd384fdba51e59add43d24ed",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.2463783323764801, 'log': {'agg_test_loss': 0.25880876183509827, 'agg_test_loss_p': 0.2463783323764801, 'agg_test_loss_kl': 0.012430431321263313, 'agg_test_loss_mse': 0.04406549409031868, 'agg_test_loss_p_weighted': 0.043534982949495316, 'agg_test_score': 0.2463783323764801}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.384540</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.557549</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.026797</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.327100</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.548468</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.039882</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>0.009081</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.029577</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.051930</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.046734</td>\n",
       "      <td>0.047913</td>\n",
       "      <td>0.059609</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.050012</td>\n",
       "      <td>0.054685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.063805</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.104916</td>\n",
       "      <td>0.114480</td>\n",
       "      <td>0.116793</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.235458</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.380252</td>\n",
       "      <td>0.468119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.548468</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.297524</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853             0.384540   \n",
       "agg_test_loss_p                 0.136680      0.308816             0.344658   \n",
       "agg_test_loss_kl                0.000092      0.009037             0.039882   \n",
       "agg_test_loss_mse               0.053102      0.044686             0.051930   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492             0.063805   \n",
       "agg_test_score                  0.136680      0.308816             0.344658   \n",
       "n                               3.000000      3.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                   0.394125    0.557549   \n",
       "agg_test_loss_p                 0.387186    0.548468   \n",
       "agg_test_loss_kl                0.006939    0.009081   \n",
       "agg_test_loss_mse               0.045177    0.046734   \n",
       "agg_test_loss_p_weighted        0.069565    0.104916   \n",
       "agg_test_score                  0.387186    0.548468   \n",
       "n                               3.000000    3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                                    0.604279   \n",
       "agg_test_loss_p                                  0.604279   \n",
       "agg_test_loss_kl                                      NaN   \n",
       "agg_test_loss_mse                                0.047913   \n",
       "agg_test_loss_p_weighted                         0.114480   \n",
       "agg_test_score                                   0.604279   \n",
       "n                                                3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  LSTM_PL_STD_mean  \\\n",
       "agg_test_loss                               0.616397          0.854500   \n",
       "agg_test_loss_p                             0.616397          0.854500   \n",
       "agg_test_loss_kl                                 NaN               NaN   \n",
       "agg_test_loss_mse                           0.059609          0.067944   \n",
       "agg_test_loss_p_weighted                    0.116793          0.150794   \n",
       "agg_test_score                              0.616397          0.854500   \n",
       "n                                           3.000000          2.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               1.026797             1.022596   \n",
       "agg_test_loss_p                             0.965398             1.022002   \n",
       "agg_test_loss_kl                            0.061399             0.000594   \n",
       "agg_test_loss_mse                           0.053994             0.166312   \n",
       "agg_test_loss_p_weighted                    0.185951             0.183035   \n",
       "agg_test_score                              0.965398             1.022002   \n",
       "n                                           3.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_pt_mean   np_mean  PL_Transformer_mean  \\\n",
       "agg_test_loss                    1.157510  1.327100             1.546630   \n",
       "agg_test_loss_p                  1.142826  1.297524             1.546630   \n",
       "agg_test_loss_kl                 0.014684  0.029577                  NaN   \n",
       "agg_test_loss_mse                0.045285  0.049878             0.066195   \n",
       "agg_test_loss_p_weighted         0.214536  0.235458             0.294457   \n",
       "agg_test_score                   1.142826  1.297524             1.546630   \n",
       "n                                3.000000  2.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                             2.024737             2.612948  \n",
       "agg_test_loss_p                           2.024737             2.612948  \n",
       "agg_test_loss_kl                               NaN                  NaN  \n",
       "agg_test_loss_mse                         0.050012             0.054685  \n",
       "agg_test_loss_p_weighted                  0.380252             0.468119  \n",
       "agg_test_score                            2.024737             2.612948  \n",
       "n                                         3.000000             3.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'np', 'PL_MODEL_CLS': <class 'neural_processes.models.neural_process.lightning.PL_NP'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=np, trial=<optuna.trial.FixedTrial object at 0x7f8d6cf3f908> params={'learning_rate': 0.003, 'hidden_dim_power': 6, 'latent_dim_power': 5, 'n_latent_encoder_layers': 3, 'n_decoder_layers': 4, 'dropout': 0.1, 'batchnorm': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'num_context': 336, 'vis_i': '670', 'num_extra_target': 96, 'x_dim': 17, 'context_in_target': False, 'y_dim': 1, 'patience': 2, 'min_std': 0.005, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/np/version_-1200/_ckpt_epoch_0.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2afcd121e9cf42a3aa193f8f6e6d8ded",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 0.6847045421600342, 'log': {'agg_test_loss': 0.7056866884231567, 'agg_test_loss_p': 0.6847045421600342, 'agg_test_loss_kl': 0.020982056856155396, 'agg_test_loss_mse': 0.07278481125831604, 'agg_test_loss_p_weighted': 0.13104602694511414, 'agg_test_score': 0.6847045421600342}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.384540</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.557549</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.026797</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>1.119962</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.548468</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.093251</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.039882</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>0.009081</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.026712</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.051930</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.046734</td>\n",
       "      <td>0.047913</td>\n",
       "      <td>0.059609</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.057514</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.066195</td>\n",
       "      <td>0.050012</td>\n",
       "      <td>0.054685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.063805</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.104916</td>\n",
       "      <td>0.114480</td>\n",
       "      <td>0.116793</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.200654</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.294457</td>\n",
       "      <td>0.380252</td>\n",
       "      <td>0.468119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.548468</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.093251</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.546630</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853             0.384540   \n",
       "agg_test_loss_p                 0.136680      0.308816             0.344658   \n",
       "agg_test_loss_kl                0.000092      0.009037             0.039882   \n",
       "agg_test_loss_mse               0.053102      0.044686             0.051930   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492             0.063805   \n",
       "agg_test_score                  0.136680      0.308816             0.344658   \n",
       "n                               3.000000      3.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                   0.394125    0.557549   \n",
       "agg_test_loss_p                 0.387186    0.548468   \n",
       "agg_test_loss_kl                0.006939    0.009081   \n",
       "agg_test_loss_mse               0.045177    0.046734   \n",
       "agg_test_loss_p_weighted        0.069565    0.104916   \n",
       "agg_test_score                  0.387186    0.548468   \n",
       "n                               3.000000    3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                                    0.604279   \n",
       "agg_test_loss_p                                  0.604279   \n",
       "agg_test_loss_kl                                      NaN   \n",
       "agg_test_loss_mse                                0.047913   \n",
       "agg_test_loss_p_weighted                         0.114480   \n",
       "agg_test_score                                   0.604279   \n",
       "n                                                3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  LSTM_PL_STD_mean  \\\n",
       "agg_test_loss                               0.616397          0.854500   \n",
       "agg_test_loss_p                             0.616397          0.854500   \n",
       "agg_test_loss_kl                                 NaN               NaN   \n",
       "agg_test_loss_mse                           0.059609          0.067944   \n",
       "agg_test_loss_p_weighted                    0.116793          0.150794   \n",
       "agg_test_score                              0.616397          0.854500   \n",
       "n                                           3.000000          2.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               1.026797             1.022596   \n",
       "agg_test_loss_p                             0.965398             1.022002   \n",
       "agg_test_loss_kl                            0.061399             0.000594   \n",
       "agg_test_loss_mse                           0.053994             0.166312   \n",
       "agg_test_loss_p_weighted                    0.185951             0.183035   \n",
       "agg_test_score                              0.965398             1.022002   \n",
       "n                                           3.000000             3.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  PL_Transformer_mean  \\\n",
       "agg_test_loss             1.119962         1.157510             1.546630   \n",
       "agg_test_loss_p           1.093251         1.142826             1.546630   \n",
       "agg_test_loss_kl          0.026712         0.014684                  NaN   \n",
       "agg_test_loss_mse         0.057514         0.045285             0.066195   \n",
       "agg_test_loss_p_weighted  0.200654         0.214536             0.294457   \n",
       "agg_test_score            1.093251         1.142826             1.546630   \n",
       "n                         3.000000         3.000000             2.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                             2.024737             2.612948  \n",
       "agg_test_loss_p                           2.024737             2.612948  \n",
       "agg_test_loss_kl                               NaN                  NaN  \n",
       "agg_test_loss_mse                         0.050012             0.054685  \n",
       "agg_test_loss_p_weighted                  0.380252             0.468119  \n",
       "agg_test_score                            2.024737             2.612948  \n",
       "n                                         3.000000             3.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'PL_Transformer', 'PL_MODEL_CLS': <class 'neural_processes.models.transformer.PL_Transformer'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=PL_Transformer, trial=<optuna.trial.FixedTrial object at 0x7f8d6eaffef0> params={'learning_rate': 0.003, 'attention_dropout': 0.4, 'hidden_size_power': 7.0, 'hidden_out_size_power': 7.0, 'nhead_power': 1.0, 'nlayers': 2} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'vis_i': '670', 'x_dim': 17, 'y_dim': 1, 'context_in_target': False, 'patience': 2, 'min_std': 0.005, 'nan_value': -99.9, 'num_context': 336, 'num_extra_target': 96, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/PL_Transformer/version_-1200/_ckpt_epoch_5.ckpt\n"
     ]
    },
    {
     "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": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ODBo0iD179uDr66u3KHbFlClTuPXWW1VIDoWimlGKQAcee+wx8vPz+eSTT/QWxa548MEHAc3rSnleKRTVh7IR6MD69etZu3atepBVgoCAAJycnLhy5YreoigUDoNSBDqwePFiunXrxtdff623KHbF0aNHuXjxIgB5eXk6S6NQOA5KEehA586dOXToECtXrtRbFLvCFHX08OHDBAQE6CyNQuE4KBuBDgQHB/Piiy+quPoVpEOHDri6uuLp6am3KAqFQ6EUQS2TmZnJjh076N69u4qrX0G+/fZbvUVQKBwStTRUyyQlJREREcHTTz+ttyh2ydNPP83o0aM5d+6c3qIoFA5DTSamWSGEuCSE+MtCebgQ4rAQ4ogQYo8QoltNyVKXaNiwIZMmTaJjx478888/eotjd/z0009s2rSJ5ORkvUVRKByGmpwRfAIMs1J+FhgopewCvAIsq0FZ6gy+vr68+OKL7Nq1izvvvFNvceyK7t27c+jQIT766CNlX1EoqpEasxFIKXcLIUKslO8x+7gXaFVTstQ1GjVqROfOnVWIiQoSFxcHwJgxY2jSpInO0igUjkNdMRY/CGzVW4jaICcnBzc3N/bs2YOXl5fe4tgVR44cIS8vT4XmUCiqGd2NxUKIQWiK4N9W6kQIIaKEEFGJiYm1J1wNsGfPHgICAlSu4krg7+/P33//zYoVK1TOYoWiGtFVEQghugIfA2OklBZjBkgpl0kpe0kpe/n5+dWegDVE8+bN8fHx0VsMu+Stt94iIiKCI0eO6C2KQuEw6KYIhBBBwDrgPinlCb3kqG0GDRrEsWPH2L9/P126dNFbHLti+vTpbN++nfvvv5/AwEC9xVEoHIYay1kshPgCuBnwBRKAeUADACnlUiHEx8A4INp4Sr6lfJrmOELO4pSUFJo2bUrjxo1JSUnRWxy7wdXVlby8PHJycnB1ddVbHIXCrrCWs7gmvYbuKaf8IeChmrp+Xcbb25uzZ8/SoEEDvUWxKz744APy8vJUik+FoprR3Vhc31i7di19+vThq6++UssbFeShhx5i0qRJXLp0iczMTL3FUSgcBqUIapm4uDiioqKU10slefzxxwkICFAhvBWKakQpglrm7rvv5vfff+fcuXM88sgjGAwGvUWyCwoKCti4cSO///47zZs3V8tqCkU1UmPG4prCEYzFoAyfFSUjIwNPT0/c3d3VspBCUQl0MRYrrLNkyRKEEDg5qUmZLTg5OTFq1CilNBWKGkApglpm27Zt7Nu3j2HDhtG7d2+9xbEb3N3d2bRpk95iKBQOSbnDUSGEkxAiTAgxUghxixCieW0I5qhs2bKFefPmsXfvXr1FsUs++OADrr/+elasWKG3KAqFw2BxRiCEaIsW/2cwcBJIBBoC1wohMoGPgE+llMraWQGGDx9OkyZNyMzMZMuWLdx66600bNhQb7HqPCZblvK6UiiqH4vGYuPO4A+Bn2WJSsZZwb1AspTy0xqX0gxHMRYHBgYSFxdHTEyM2k9gAzExMbRu3RqA33//nVatWtGyZUudpar7zJ07l8uXL/PBBx/oLYpCZyplLLa2M1hKeQlYUg2y1VsGDRpEUlKScoO0kYKCAgBat26tbCs2IqXklVdeASAyMpKmTZvqLJGirmKTsVgIcQMQYl5fSvlZDcnk0Jw4cYLMzEw+/PBDlY+gAgQHB2MwGNS+iwqybt06MjIylBKwkY0bN7J161Zuv/12RowYobc4tUa5+wiEEKuAtsCfQIHxsJRSPlHDspWJvS8NDRs2jO3bt/P9998zfPhwvcWxO/744w+2bt1Kr1696tU/qqJ26Ny5M0ePHsXT05O0tDS9xalWqrqPoBdwXUk7gaJyhIaG0rVrV5o1a6a3KHbJvn37mDdvHtOnT1eKQFHt9OvXj6NHj3LNNdfoLUqtYsuM4BvgCSllfO2IZB17nxGYuP7669m/fz/79+8nLCxMb3HqPOfOneOxxx4jMTGR2267jT59+jBq1Ci9xarTxMXFERgYSMOGDTl//jyOkNSpprl48SKnT58mICDA4XKKV2pGIITYBEjAC/hbCLEPyDGVSylHV7eg9QkpJVJK8vPz9RbFLkhJSWHLli107dq10ACqsI4pi1t2djYZGRlKEdhAixYtaNGihd5i1DrWloYWV6VhIcQKYBRwSUrZuYxyAbwDjAAygQeklAeqck174rfffsPZ2VmFmLCR0NBQNm3aRKNGjfQWxW7w9/endevWtG3bVikBGzl48CDx8fF069atXrl112SGspuAdOAzC4pgBPA4miLoA7wjpexTXrv2vjTUp08f4uLi+PXXXwkKCtJbHLsjJSWFs2fP4u3tTdu2bfUWR+Fg9O/fnz179jBs2DC2bt2qtzjVirWlIVtCTNwphDgphLgqhEgVQqQJIVLLO09KuRtIslJlDJqSkFLKvUATIURAee3aO7GxscTExKiZQCXZuXMnPXr0YMaMGXqLonBATLv8f/zxR50lqV1s8RpaBNwupfynmq8dCFww+xxjPFYnjNI1xcGDB8nKymL58uUcOnSIuXPn0qNHD73FqvPExcWxadMmTpw4Qbdu3QgJCdFbpDpPUlISa9euJTc3l4kTJ6rlIRv48MMPWbFiBR06dNBblFrFFkWQUANKoEIIISKACMDul1NM/4wmf/iIiAidJbIPjh8/zrRp0xg4cCB//vmn3uLYBXPnzuX9998HoG/fvkoR2MC1117LggUL9Baj1rHmNXSn8W2UEOIrYD3FvYbWVfHasUBrs8+tjMdKIaVcBiwDzUZQxevWCWbNmsXDDz+sZgM2EhAQQEREBO3atdNbFLvBzc0NgEaNGuHj46OzNPaBlBLNj6V+YS3o3Eor50kp5ZRyGxciBNhswVg8EniMImPxu1LKcoPI2LOxuKCggIiICNzd3fnPf/6jtzgKhaIE/fr1Y+/evSxdupSHH35Yb3GqFWvGYmuK4F5gu5TySiUv+gVwM+ALJADzgAYAUsqlRvfR/wDD0NxHJ0spy33C27MiWLlyJVOmaPozODiYyMhIwsPDdZbKvoiKimLs2LF0796dzZs36y2OwsFo3LgxqamaL4yjBVOobIiJ1sA3QogGwC5gK7DP1lAT1qKXGssl8KgtbTkCa9as4bHHHiv8HB0dzZQpU7h48SLPPvusjpLZB1lZWSQnJ3PlyhViY2NVCGobSU5OJisri2bNmqm8FzZw4MABRo0aRfv27fUWpVaxJcSEF1pymmFAb+AfYBvabCGhxiUsgb3OCEJCQoiOji513MfHh8uXL+sgkX2xbt06xo0bx4gRI1i6dCnu7u74+vrqLVadZvDgwezatQvQUqQOHTpUZ4kUelKloHNSyjTgO+MLIcR1wHDgM0D9smzk/PnzZR5PSrK21UJhws3NjYCAAFq0aFGYoEZhnT/++APQfONdXFR6coVlbM1HEAgEm9X/Q0r5Zo1J5YAEBQWVOSOwd3fY2mLkyJHExcXpLYZdsWfPHlJSUujXr5/awGgjU6dOLczoFhDg8PtbCylXEQghFgITgb8xy0cA7K5BuRyOyMhIHnroIbKzswuPeXh4EBkZqaNU9sfly5eZM2cOTZo04fXXX9dbnDpNp06d9BbB7vjqq69IS0tj165dhUbj+oAtw4SxQHsp5Qgp5e3Gl4o8WkHCw8NZuHAh7u7ugJZy8Y033mDMmDE6S2ZfZGRksHTpUlavXq23KAoH5NNPtRTsWVlZOktSu9iiCM5gdPtUVI0nnniCzMxMpJRMmDCBRx99lKVLl+otll2wfv16evTowQcffMD7779fL3d/VoSYmBhmzpxJ69at6dmzJ99//73eItkFY8aM4fTp05w9e1ZvUWoVazuL30NbAsoE/hRC7KL4zmJdUlU6Ct7e3jRv3rxw96fCOomJiRw8eJCePXuycOFCvcWp85w9e7Zw6SwmJkZ5ptmIk5OTwyWksQVrG8r+Ze1EKeWnNSJROdir+ygUbVCpj1vYq8rly5eJjo7Gx8dHBZyzgXPnzrFmzRoyMzO58847CQkJUWEmbGDZsmU4OzvzwAMP4OzsrLc41UpldxaPBfZIKS/VpHAVxZ4VwS+//MKNN97IgAED+Pnnn/UWxy4pKChg+/btGAwGlapSUa1IKXF2dkZKSUREBO+99x6urq56i1VtVDYfwSTgoDEXwadCiAghRKmYQQrbKSjQnK6UK1/lyc/PZ+TIkdx5553lV1YoKoBJAYA2MzD38HN0LNoIpJR3QWHguBuMr4eFEEFo+whG1IaAjsTAgQMxGAwYDAZWr17Nu+++S3h4OE8++aTeotV5fv31V3bs2EG/fv0YOnSoQ43UaoIzZ86QmJjIiRMnOH36NEOHDqVfv356i1WncXJyYunSpYSFhWEwGOqV/c6WncXnhBANAXfjy/ReUQmEEDg7O3Pp0iX++OMPBgwYoLdIdsGvv/7K/PnzmTFjBtu2bdNbnDrP0qVLeeONNwo/e3t7K0VgI44WddQWrHkNzQT6AX7AcWAvWrTQCCllgaXzFLZx9913079/fxU8zUZuuOEG5s2bxw033KC3KHZBYGAgvXv3pkOHDoSGhtK3b1+9RarzFBQUcPHiRdzc3OpdHCtrxuJjQAawCdgD/C6lvFqLspWJPRuL9+zZw2uvvcYNN9zAzJkz9RbHrlEeWIrqJjY2llatWgGwZcsWbrrpJjw9PXWWqvqolLFYStkBGAJEoeUV+E4IsU8IsVwIMblGJHVw4uLi2LJlCwcOHNBbFLvGz88PJycnkpOT9RZF4UAYDIbCGfrIkSO5cOFCOWc4DlZtBFLKJGCzEGIb0BO4CXgYmAJYy2CmKIP+/fuzadMm/P39OXz4MBs2bKBz587ccccdeotW54mJiSEhIYHAwMDCWUBeXp7OUtV9Ll68SGxsLP7+/oWjXUXZtG7dmtjYWKZOnUpMTEz9yt8gpSzzBYwGFgA/A0nGvwuAMYCfpfNKtDEMzb5wCnihjPIg4CfgIHAYGFFemz179pSOwGeffSYBOWnSJL1FsQteeOEFCcjx48fLoKAgKYSQwcHBcvXq1XqLVieZOnWq9PPzk2FhYRKQM2fO1Fskhc4AUdLCc9XajOAB4FfgeWC/lDK3IgpGCOEMvI+2vBQD/CGE2Cil/Nus2mzgaynlh8Y8B98DIRW5jr3StWtXZs+eTbdu3fQWxS4ICAggODiYDRs2kJur/RSjo6ML/b5Vys/iJCcnk5iYSI8ePejRo0e9CqmsqDi2ZCgbLqXcWuLYNCml1WhpQoh+wEtSyqHGzy8CSClfN6vzEXBGSrnQWP9NKaVVtxB7Nhb//fff/Pzzz1x33XXceOONeotjd1jK8hYcHMy5c+dqX6A6TFpaGpmZmXh7exdGvFVY5/DhwzzwwAN0796dFStW6C1OtVPZncUm5gghbjFr7Hm05aHyCATMrS0xxmPmvARMEkLEoM0GHi+rIeOu5ighRFRiYqINl66b7N69m2nTprFmzRq9RbFLLGV5s3S8PuPl5YW/v79SAhXg6tWrHDx4kJUrV+Ls7MyOHTv0FqnWsEURjAZeE0LcKISIBPpgmyKwhXuAT6SUrYARwCohRCmZpJTLpJS9pJS9/Pz8qunStU/Hjh2JiIhgwIABpKam8ueff3Ly5Em9xbIbLGVzU1neFNVBWFgY+/fvJygoCIPBUK+cEWzZWXxZCDEa2AnsB+6S5a0nacQC5sllWxmPmfMgmkEZKeVvxh3MvkCdCnRXXQwcOJCBAwcCWjLx4cOHM3ToULVT1gaef/55kpOTcXV1LbQRgMryZonXX3+dU6dO0bJlS/773/8SHh5ebKexojSenp706NGDkydP4uzs7HDRR61hcUYghEgTQqQKIVLRvH6uBcYDpmPl8QfQTggRKoRwBe4GNpaocx641Xi9jmjhK+x37acCNG7cmG7duhEaGqq3KHZBcnIyqampTJo0ieDgYIQQBAcHs2zZMmUoLoPNmzezYsUKzp8/T3x8vNpzUQFcXV3rlRIAG4zFVWpciBHAEsAZWCGljBRCvIzmxrTR6Cm0HPBES4LzvJTyB2tt2rOxODU1lfT0dLy9vR1qx2JtcPXqVTIyMmjcuDGNGjXSW5w6z/fff098fDyDBkfFld0AACAASURBVA2iYcOGNGrUiMaNG+stVp3myJEjrF27lq5duzJu3Di9xal2rBmLre0BCLFUZiwXQCtrdWriZc/7CF555RUJyFmzZuktil2zbds2uXTpUhkdHa23KHWG/Hy9JbB/1qxZI9EGpHLMmDFyx44deotUrWBlH4E1Y/EbQohvhRD3CyE6CSGaCyGChBC3CCFeQdtj0LEaFZbD4+HhQUBAAN7e3nqLYte8++67TJs2jcOHD+stSp0hNRVM4fMzM8Fg0Fcee6Rz587MmzePJk2asGHDhnqVt9jq0pBx6SYc6A8EoOUv/gfN1XOtlLLWMzfY89KQOUeOHGHEiBF07NiRH36wuhqmAD766CP2799PREQEv/32G3/99RfTp09XG/KMXLwIUoKvL8THw++/b6NBg2x8fHxYtWoVYWFhPPLII3qLaRfs37+f8+fPExYW5lBpUa0tDZUXa+hvYFaNSFXPMRgMxMTE0LRpU71FsQt27NjBt99+y5AhQ3j88TK3m9RbpIScHO1vfLw2G3j22elcuHCWxYsXs3z5csaOHVsvFcHVq+DpCRWx/fbs2ZOePXvWnFB1kHLdRxU1Q8eOHYmOjq5fga2qwLRp0xgyZEi9+we1hpQgBOTlae+haEnoxhtv4/LleMLCbuSDD5bStm398U4zGMDJSeuT1FQoKIBmzUrXM/Wfibi4OOLi4mjZsmW9yxNSo15DNYE9Lw0tWrSIr776ihkzZnD33XfrLY7dkpqaSlpaGo0bN67X3ldJSdoDLi0NrlyxXM/bu+wHoaOSlASurtqD/soVTSmYAq+a0oXn52tKwrxfFixYwIsvvsiQIUOYOHEiYWFh9OjRo/ZvoIaoaogJRTURHR3NgQMHuGLtv1ZRLs899xytWrWq16E6pIT0dO2Vk2O9bmoq5FYoZKR9sX37dq6//nqOHTsGaPd6+TKkpGjlBgPExcGFC5ohHbR+S0vTZgsm/P396dmzJwcOHOChhx5iw4YNtXwn+lGuIhBCrBNCjCwr9IOiYrzwwgtERUVx1113kZyczPTp0/n3v/+tt1h2wZ49e9i8eTOJiYk0a9aMgICAepVcvCS5udoD7urVshVBTk42BQUFJCdfYdeuzWzb9kvtC1lLzJ8/n6ioKN577z2gqD/MH/L5+ZryNCmH9PTinwEmT55MVFQUK1asYMqUKYSFhdXSHeiPLdFHBwOTgb7AN8BKKeXxWpCtTOx5acic+Ph4WrZsSYsWLYiPj9dbnDrPrbfeyo8//siOHTsYPHiw3uLogpSQnKwtZ6SkFH+IlaR9+4bk5ubwySfbeOCBYfTqNYDffvsZFwe0Cn700Uds3ryZqVOnMnz4aGJLBrIpgZeXNhsw4ewMjRtrS2iOTJWWhqSUO6WU4UAP4BywUwixRwgxWQjRoHpFrT80btyY999/n4ULF1Zbm2vWrCEkJAQnJydCQkIcaumkb9++jBw5kuoKOmhPfWUaq2VnFy3zZJfjuO3s7IwQgubNA7jllpH07HkDGRk1L6sePPzww2zatInRo0eXOTs6ePB3nnnmfi5f1kKYmSsB0GYOSUlFy0b1EZuMxUIIH2AScB8QB6wBBgBdpJQ316SAJbHnGcE333zD0aNHGTduHF26dKnWttesWUNERASZZr9mDw8PFYunDOypr/LytAdXs2baund6OjRsWOQuWh5SysLUni4uRUZTR2Lfvn24u7vToUMH0tIakFoiElpoqHb/kyZN55VX3rfYzqJFL7Bu3afMnfsSd911B66urjRp0qQmRa9VqjQjEEJ8h5am0gO4XUo5Wkr5lZTycbQYQQobWbt2LfPnz+fo0aPV3vasWbOKPdgAMjMzmTXL8baBrFixgp49e/L++5b/qa1R1/vK/AGfkaHNAnJyikas2dm2KQGgUAmAtk6elVWNgtYRRo4cSdeuXUlMTCxzRvDf/27mwQefZvz4yVbbSU5OIiHhIh999DH+/v4899xzNSRx3cMWA/C7UsrrpJSvSymLLWZb0i6Kshk/fjzz5s2jc+fOGAwGtm7dyubNm6ulbUdP2mIwGEwxrkhISODAgQNcuHChnLPKpq73VVpa0fJFerr2NyGh8mEjpJQUGC2nSUm2KxF7QErJ5cuXAZg7d0GZ3lG33DKS2bPfomtX64+rmTMXs3dvLHffHUGzZr54eNSf4Ia2GIvvLOPwVeCIlLLW8wbY89KQOQUFBbi4uODs7Ex+fn6V23P0NI49evTg4MGDREVFERAQUKWNP5b6ysfHp/ChUtuYb26KidEe+r6+cKkS/2Hp6WlMm3YnjRs35amnXuK22zpxzTUd2bFDSxfeuDE40ob2xYvfZcaMJ5k8+Unmzl1Sbe36+mq7kh2Fqu4jeBD4GC3mUDha2Oh/A78KIe6rNinrGU5OTgwdOpThw4dTHZv6IiMjS8VQd6SkLaY+cnZ2pmXLlvTq1avSuz8jIyNp0KC0n0NaWppuRuOUFM0VNCNDW8IxGKCyWVmzsjL59ded/P77/3By0n4TBrPpRGqqY8wKTPdw332PceaMoUwlcOrUP0yaNIT77ruN/fv3VKh9RzWul4UtiqAB0FFKOU5KOQ64Di1Uax80haCwkWPHjhEVFUVqaiqff/45x44dY8uWLYSGhlb5ARQeHs7DDz9c+NnRkrYcPHgQg8FQLUHmwsPDy4wAm5ubq5udID1dcw0132tY2Ye1t3cTPv10O0uWfE6bNtdy+nQBu3YdK9auPXrIGAya8Ry0h3RsrPY3O9upmC3EnEOH/uDXX3fyyy87+OGH9VbbX7nyXWbOfJh//tGi2mZnF9+L4MjYoghaSSkTzD5fAlpLKZMAq0k9hRDDhBDHhRCnhBAvWKgzQQjxtxDiqBDic9tFtz8effRRrr/+ehYsWEBERATR0dFIKYmOjiYiIqLKyuD9998vjC9+7tw5h1ECJoQQCCE4dOgQ8+bN49tvv610W0lJSWUer007gekhk5lZ9L46wke7ublx0023MWDAYIQQODmV/jevy4rAvA+uXi2ylyQmakH1UlI0D6r8fFi7djtduzZlxoyyDcGdOoXRp89AfH39CQvra/W6//d/W/nii2Vs3bqWsWP7MHfu47XSTwUFRTGRTAb92p6x2bK95H9CiM1om8kAxhmPNQIsbmkRQjgD7wNDgBjgDyHERmNEU1OddsCLQH8pZbIQonkl78MuaNeuHSkpKaxcudKi14qjPbxrgiNHjvDyyy8THh5e6UxS3t7eXL16tdTxoKCgqopnESk1o6+fn/awi4+HRo20f/7axvSwsTCQrnXMZUlI0DZ9ublpD30pTSN/rdx8I11SUiKpqSmsXfsJrVu34Ykn5hRrt0OHLnz55f9skmHy5Ce57baxuLg04NChfXh6epGaqtkJqqOfDAatHSG02V92Nnh4FCkB87GJs7MWL8nZWfuNODlpfVBTMaNsUQSPAnei7RsA+Az41pjxZpCV83oDp6SUZwCEEF8CY4C/zepMBd6XUiYD6GF8rk2WLl0KUOYIDao2Gs3JyWHv3r2cOXOG5s2bM3LkyEq3VReZMmUKiYmJLF++nK5duzJv3jy6du1a6faeeOIJFixYQF5e0aS2pm0qpoeZyQPIYCi9uak6SEq6zIYNn+Pn589NNw3l6afvw9PTi3feKZpwGwyaMvDwqP7r24IpMmjjxtpyz8WL0Ly59j4nR3s1aFB8M11ZjB59D/n5eTz//BQOHdpXJZkGDhwGQGrqVdq1uw5v76bk5WkzkeaVHKKaQoE4OWmGf4NBuy+Tm6ulOFEFBUWuvibPsZqMqGJVERhH9TullIOAis7DAwFz/74YNLuCOdcar/MrWl7jl6SU2yp4HbsjKCioTK+VqoxGT58+zc0331z4uaCgwKLCsUd27tzJhQsXyMnJoWvXrlVSAgAvv/wy7du3Z9asWZw/f56goCAiIyOrZUZm+gd2d9ce9JmZ2izAtNGppgPAxcdf4OWXn6RDh6707z+YH3/cTJMmpYeSKSk1owgKCori/+fkaA/BBg20fsjO1ka1SUla3+TmanUKCjQFaT7yzrO68Kzh7OzMzTcPZ/nyjTRvHlCsTErJtm3r8PdvSYsWrWjQwBU/P/9y2/T2blxsGSkzU5PVy8um2y+GKQCeOeUFCdSD8hLTFAghDEKIxlLK0vPo6rl+O+BmoBWwWwjRRUpZbMlJCBEBREDNTt1ri8jIyDJ3tlZlNJqbm0vfvn3Zu3cvI0aMcDhFsHLlSjIyMqotxARoRuOgoCD++ecfbrrpJjp06FDlNlNTi6b47u5FSiEurvaWgJo08eH++x+jefMAPD29WbZsA25upfNe5OZq8lZHjB3T0o6U2ujexUVb0jCFgW7SpGgPg2nED8U9cyprH/Hza8HgwbeXOp6SksRTT91LrlHzDh48muXLLUcU3bPnRzIzM+jTZyBeXsU7JT29corAXryzbNlHsAEIA3YAhV+blPKJcs7rhzbCH2r8/KLxvNfN6iwFfpdSrjR+3gW8IKX8w1K79ryPYNCgQRw/fpydO3dy8ODBGhmN1gfS0tI4ceIEHh4edOxYubTZx44dIyUlhYULF7J+/XqWL1/OQw89VGXZrlypmeWemsLJCQIDK5bBqyyuXtVG9QZD0VJGbbBs2WJOnfqbf/3rcTp1Kh4tNC0tlfXrVzN37qP4+7dkwIAhLF78icW2hg3rwvHjf7F69U4OHtxL48ZNue++6YXlLVtq6/YVwXxgUFXc3CAgoPx6lqjqPoJ1wBxgN7Df7FUefwDthBChQghX4G5gY4k669FmAwghfNGWis7Y0LZdcunSJeLj45FSEh4ezrlz5zAYDFX28LGnAGrVQVRUFL169apS6sV58+bRr18/cnNzmTp1Ktdee201Smg/GAylly4q205qau0qAYDdu7fxzTcr+c9/XmXz5q+KlXl5eTNo0EjWrv2VvXtjrSoBgN69B3LLLSMpKCjgzTdn8+mn7xUrr8y92cuMoFxjsZTyUyGEOxBUkfDTUsp8IcRjwHa09f8VUsqjQoiXgSgp5UZj2W1CiL+BAmCGlNJhs7bs3r2bnJycwuWNOXPmcODAAV5//fVKr3mXDKBmckUFHGqGsWLFCvLz8/nXv/5FkyZNCAsLo127dpVur127dvTt25cZM2YUs604AllZmVy+nICHhyfNmvnyxRfLMRgKmDSpbMWZlaWN6Bs3rvw19XrgPfroLK655jo+/fQ9zp49yahREwHYv38PBoOBrl170apVsE1tvfzyfwDN2D59+kx8fYvbE9LTtWW0ioTyrg534NrAlqWh24HFgKuUMlQI0R14WUo5ujYELIk9Lw2VZMiQIezcuZPt27dz2223VaoNS+ESWrZsSWx5gdntCG9vb9LS0khJSaFxVZ5YNUxdWBr66afvmTJlJAMHDmPlyu9p00ab+J85Y7C48Qo0z5jKGo/1vO+EhDjefnseLVsGFbqP3nBDa+LjY/jll2gCA6vPrujiAi1a2K4MkpIoFQ21stTk0pAtt/MSmivo/wCklH8KIdpUXhyFiXnz5vHEE09UKROSJZdTR0t2M3nyZDIzM6s9K1lGRgapqal4eHjUaQVTHvHxmr+7lxdkZ7sSGBiMn18LhBDcc08ETk5OGAyGUmFIzElM1OwFlUleo+cSiL9/SxYsWF7sWLduvQkMDMbDoxEXLpxl2rQ7adGiFf/97yaL7eTl5eHi4mJVWebna4Z/Ly9tdlCebcVhloaAPCnl1RKdYycTnrrFs88+S3p6OgsXLqRJkyYMGDCg/JPKoSZcUesi77zzTo20++abbzJv3jzmzJnDyy+/XCPXqA2SkrRgdc2aQdOmg1m16hyhoVrZa699ZFMbUmoPOntRBHl5eaxfvxpfX38GDRpRrOzDD4u83dPSrvL333+Slmbd8bFnT1/S0lI5cOAy8fExgOS667qXqmdKEZqRobkFWxub2IsisMVYfFQIcS/gLIRoJ4R4D6hY9CYFAKtXr2bZsmXkVKMjcWRkJB4l5vOOFGyuLM6ePUvLli3p3bt3pdu44YYb8PPzIyYmBn9/f9zd3atRwtrFlLymoKAoUF1CQuWWJCr74NLjgZeUlMjzz09hxowHuHQpnri4ssOS+/sHsmnTfj75pPgWpZKb1EyB+fLz8xg5sjsTJtxo9fr5+dbThYL9KAJbdP/jwCwgB/gCzcD7Sk0K5ai8+eabZGRkFAY8++233zh8+DD9+vWrtLHYZBB2ZFdUKSWxsbE4OzsTEBCAEIL4+PgyI4jaypUrV7h8+TLPPvssy5Ytq0Zpa4/cXM2d0dLD6ORJ6NwZUlMTyM/Po3nzAKtLQ2BfikAIwdixk3BycqJPn5Z4enpx5Ehp7efm5kbnzj2KHbtyRZtBdemiudAC/PVXGgaDgby8XNq370KjRuXHoC7vvu1FEdiUqrIu4UjG4qeeeop33nmHt956i6effrrS7RQUFBRG1AwJCWHv3r3MmTOH66+/vhql1Y9Vq1Zx//33A1pU1VdeeYVbb70VNzc3fHx8KtVmeno6WVlZNG3aFJdqzOhem0bTw4chOFibBZi7gP7++1rWrn2JPn3Gc//983jgAV+Sk6+wf38izZr5Wm3Tz0/bCFZR4uP12zGbk5PNjTeG0qiRJz/9dJLs7CzCwnzw9m7C+vVxuLho93XmjKY4W7XS+i4zUzO+BtvmVFQm5RlwExKqLyucrsZiIcS1wHNAiHl9KeUtlRdJAdryRGZmJp06dapSOxkZGXz11Vd4enpy6623smnTJqZMmeIQimDNmjVMmzat8HN0dDTTpk2rcohtT09PPO0460hGhvYgO3GidFlqaiIxMUdp334AmZnQuHEAbm4Ni+UksIQ9zQhMuLk1ZN++IueInJxssrOzcHV1Mz6IJUuWvER6eg533/06OTmiMKpofLz2gG3RonLXLq9L7WWcbYv76CFgKdomssLo3FJKWzaVVTv2PCPYsGEDTk5OjBw5slrDP+Tk5LBu3ToKCgpo27Ytly5donfv3gRUZfhQR6jpzGtbtmxh3rx5DBs2jFdffbXK7dX0jMDk7x8drT3EyiI9PYmkpFgaNWqCj09rANq21UbF5eHjU7lQCrGxtsUGqk5ycnLIzc3B3d2j2KxOSkl2dhZXruQQE6OlYgsPd8FgKGDVqlxcXEovKbZokcG8eePw8mrMf/7zValyS7i4aDMMS8TFVV9sKb3dR/OllB9W/vIKE3fccUex/LHVhZubG/fcc0+1tllXsOQeGx0dzcMPP8xHH9nmEVOS+++/HxcXF26++Wb2799vFzuLU1Phn3+0h7q13cCens3w9CweZC421jZFUPm8yJU7ryrs3LmRxx6bwPDhd/HBB98UHk9OFhgMHmRlFTlR3HXX/MJsbWVx/HgGu3dvL1w6u+22TqSkJLFr1/FScYfMcRQbgS2KYJMQYjrwHZrBGABjYhqFjUgpGT16NPn5+YWzgezsbJKTk3F1da30WrejY8k9FuC///1vpRSBwWBg1apVACxatIh9+/ZVazC76iQvT3voBwRoxk2A06cr3k52trZWXZ5zlD0tDUlpwMvLG09PL8LDb+XKlUS+/no3CQlNKJlq4o47rGeec3f35oUXthEQoN1IYuJFUlKSyMuzPpx3lKUhWxTBv4x/Z5gdk4DaVFYBhBCsX188Vd6qVauIiIjgwQcf5OOPP6502wkJCezatYvWrVvTsGFDDh06RO/evascqrkuEBkZyZQpUwojSILmHjtx4kT69++PlNLqBqCykFKyevVqcnNz8fX1xdfXugFVTxISNAWQkmK7O+iRIzv5669ddOkymM6db+Xtt8eRkHCGN95Yx/XXh1o9154UwahREwtDSlx/fQsuX04gKyubU6fO8PnnLxIQcC0TJtjm4Ojq2pBu3YYihLb8tmXLnzg7O9O4cVOr59WbGYGU0vovR1FpGjdujL+/f5WNlocPHyY8PJxbbrmFsLAw3nzzTRYtWuQQiiA8PJyNGzfy9ddfA5ptoKrusc7OznXavTY7W/NRd3cvsgOUkUzNIseO7WbjxgW4urrTufOtxMYeIzb2by5dKj/voj0pAnM+/XQbIHBx8SE5+Sx7937NNdf0KVQEFy78RWbmVUJCwnBzsxxHQ0rNAH/dda1t9p6ylulN736xFYuKQAjxvJRykfH9eCnlN2Zlr0kpZ9aGgI6ClBKDwYCTU1Gi7QkTJjBhwoQqt+3n58fdd99Np06daN++PVOmTKFz585Vbreu8PHHHzN79my8vb0JroqvXxlER0fz6aefEhgYyIMPPlitbVeWCxc0o7O3d+WSp3fuPJgGDRrSocNNADz55NcUFOTh5dWmcO+BJSrz4JJS/weeaQfwhQvQokU7nnjiS9zdi0KGvPPOBGJj/2HRor9o3bq0l96VKxeIitqAn18oPXqM5Ngx6NpVS6hTHgaD5VATeveLrVj0GhJCHJBS9ij5vqzPtYm9eg0lJSXh4+ND06ZNLSZOV9jODz/8wPfff893333HhQsXKrSRLi0tjS1bttCsWTPc3d256aab6N+/P7/88kuV5aqs15BpVJmeDn/9VWUxLOLnpxmbLeHpCRVdKTMYoApZVivNZ5+9z5YtX3PffdMZOnQiDRpofVdWuOj33ruXy5ejmTZtJQEBpR0DDh3azoIFw+jSZQgzZ/7Azp0fkZDwO9OnP0XHjtZn1q1aWQ7LUQ2ObYW4umo5ESpLZb2GhIX3ZX1WlIPJSFzezk6FbYwfP55Us0XzioTfjomJ4Z577qFDhw5s376dOXPmEBISUpPilsu5c5odoKaTyScmQtOmlpOgV3ZGoAdnz55g377dDBlyJ4sXL+PKlWgGDXoEH5/S/pyPP/55GS0U0axZIEOGTKdly/YAHDnyA/v2rWPYsOHlKgJL91/yuPkSUkqKthfEy0v7TpKTi/I3Z2YWBbTLztaUs7Oz5oZaFUVgDWuKQFp4X9ZnRTk0b96cgoKCYpt6jhw5wuTJk2nfvn2VkslkZWVRUFCAh4cHubm5XL16FVdXV5o2tW7osheeeeYZGjVqxAsvvEAj48JtWS64mZmZzJo1q1xFYDI2BwQEEBQUVK3B5gwGLUm5lNrDNjlZ23Hr76+NVC9f1sI9N2lSdI4poX11ER9/krS0RPz9r6Fx4+b89NMKEhPPMmjQg/j5hXDunKYMylI6lXEfrawiMM9tbH798+c1n3lvb63vPDygYelMm0yZ8hRDh96Jk1MbZs0az6lTv9Ot2+3k5+dy8uRvtGhxDddcUzJNetm0bt2ZKVPeL/w8aNBUuncfTqdOPcs911KfSVmUp1kIbe9HQYF2L2XNGq+YZWIxXzQw1a3Jf2driqCbECIVbfTvbnyP8XMZX0tphBDDgHfQEtN8LKVcYKHeOGAtcL2U0v7WfSqA+UayvLw89u/fX+V9BW+99RazZ8/mhRdeIDg4mEceeYSIiIhK+9jXJfLz83nnnXeQUjJnzpzC4+b5ns2xtO/AnODgYL788stqk9GcM2fg7FntvekvaH78JpKStGm+j4/2sDMFiqsuNm5cwP/+t4KpU5dzyy0PsXv3Jxw79jOdOw/Gzy+E3FzN+GyujExUx4wgNVWL31PSByI7W1OGTZpo/REfr42CpdRcW5s00R78ZXlHmSJ8mhRERgbk5ITSsmUocXFwyy1TCQsbRbNmgfz1148sXfoAN954v82KoCTduw8DbHv4WuozU9rOMyVyLtb2xjtbsKgIpJRVWsMQQjgD7wNDgBjgDyHERinl3yXqeQFPAr9X5Xr2SIcOHdi3b19hHPw1a9ZUOnich4cHnp6eeHt74+fnVyoiqb1iMBj48MMPC/dbmKiu8Nu5ubkcPXoUIQTdu5cOOVxRbH2Q5uZqD8KaSBvh79+Wdu360qSJFjdh4MDJRiVQZGi/fLl6FYEp+mlWljbyBU0ZGAzaCNjLS7tmyfbNvaGsKURTHKOSisI0Hhg0qMjQ7+cXQv/+99KuXb/CY0uXTiEqaj3Tpn1Cr16lc2qlpyeTnZ1Go0ZNcXcv2lptWrIp7/4tHa/mvaM1Ro0FnbMleb3x+BJgB9o+hefKmxHYq7E4JiaGiIgIgoKCWLp0aanykiknQXu4VzWmjqNSlf7Ky8sjNzeXhg0bEhsbS3BwMK1bt7ZpNlEee/dWr4GwpnBygp49Sy/NVMYgmZ0Nf/xRfNZTG/zyyxpSUi7St+94fH2tDwDeffcefvvtSx577HP69y+9C3/jxoV88cULjBo1g/DwRaSmJnLy5F7c3T25665BeFveXGwxUF9uLuzbV7QRsKo0bQpDh1b+/Komr68sgYB5gPAY4zFzwXoAraWUW2pQjjpBamoqW7duZffu3WWWz5o1q9Ryh2nNu76yZs0aQkJCcHJyIiQkpJgd5e233yYzMxN/f3+EEAQGBtqsNDdv3oynpyfjx4/H3d2d7t27Vznwnz2QkHCavXu/Mboylx2morIzAj1Gvjt3LmXNmue4fDmahITTnDy5l9TUsmNvPPjghyxffoU+fe4qs9zV1QMfn9Z4eWkuU+fOHWTx4tGsW/cqx45ZT1zvCDOC6ou/W0GEEE7AW8ADNtSNACLAfjNvtW7dmi1bthRLgJKbm8uCBQswGAwWR6PVMUq1R0qO+Et6Bbm4uODk5ETz5s1JSEhg0KBBNs+cDAYDHh4eeHh44Ofnx8GDB2vsPuoCCQmnSU9P4r337iEh4TQLFx4mKKgL0dHako35KqI9KYIbbriHtm2vx8cniM8/f569e7/m8ce/oGfP0RQU5OPm5oGzs/aIa9SojHUwM4YNe5xhwx4v/OzrG0z37iMIDe1RaMC+7rqyz1WKwDqxQGuzz62Mx0x4AZ2B/xk3WLUANgohRpdcHpJSLgOWgbY0VIMy1xheXl6MGDGi1PF58+bh4uJSpTXvGTNmsH//fl577TUaNGjA9OnT6dq1K8uXcCzSNQAAIABJREFULy/33LqKtRlSeHg4e/bsKbY5ryIZxsaNG8e4ceOqVd66xJIl4zl69EeeeOIrunQZzOrVzxEVVRTexBR8zWCA48e15DWmjVOV9RqqbLC6qnDbbdML37do0Y62bXvj4dGE7757lQ0bXmfixEjGjq3cvteWLdvz739rCxUJCafZseMHWrR4iGbNSu8ws+Y1pEe/VIaaVAR/AO2EEKFoCuBu4F5ToZTyKlC4dUUI8T9ssBE4Eg0aNGD27Nm4u7sTHBzMgw8+WCyNpa0pJw8cOMBPP/1EWloa7u7u7Nu3r1qTrehBeTMkJycnCgoKGDBgABkZGQ7hIVURrMVYyshIIT09CSm1p1CLFu1o06YXbdr0IiDgWpo1K/Kzz8mBY8e00a6zc+VnBPn5lbqNamPixFeZOFELI37ixK+4u3vh5la0cL9v3zqiojbQu/ed9Oo1pkJtz5jRmby8bLy8GvDUUw+VKlczAitIKfOFEI+hpbZ0BlZIKY8KIV4GoqSUG2vq2nWR+Ph4vvvuOwIDAxkzRvshCiF45ZWioFhxcXE8//zzALRq1YoFCxbYtNyxZMkSLl26RFhYGA0aNGDv3r00KcslxI6wZYbk7OzMzz//XKXrSClp3bo1ubm5JCQkVDiAnV7Mn38Tx4//wp13zmX8+PnFyp599jtyc7MLvV/CwxcB2r1mZaWWuseMDC289bXXWg8/YQm9Rr4XLvyFi4sb/v5tioWYnjDhlVLB5qKj/+Tnnz+jefM2ZSqCVaue4ejRH7n33kV07XoboPVXRkYKnToN4s8/t+Lr25VTpyA0tLiRXSmCcpBSfg98X+LYXAt1b65JWfTm5MmTPProo9x4442FiqAkM2bMwN/fnwYNGjB27Fiblzu6dOlS7HOfPpXzna5LREZGlukVZJohRUZG8ssvvzB79mz69+9fobY/++wzPvnkE+677z4mT57MpUuXyMvLIy8vr5iLal3m+HEtHMbGjQu444757Nyp+dcHBMC5c56EhHgSWiJc5Lffzufbb+dz551zGD+++CY6U2iLTp2sB1ErC70eeHPm9CEnJ5OVK9Np2NB6hLhevcbSvHkbQkLCyixPSDhNdPQhcnIyCo89+2wH4uNP8PbbJ/n3v68BNAP71auaB4+/v+YtpJaGFDbTokULpk2bRtsSgV6OHj1KamoqYWFhNGzYsDA3b30nPDycixcv8vbbbxMXF1dqX8XBgwfZtm0bd999N48++ij5+fn8ZWOQnlOnTvHTTz8xcOBAAM6ePUuDBg1oYEuEsTrCkiWnWbRoBF263MYPP4AxvUIhbm4wdy60MQaLz8xM5ejRHwEspqzMzdWWiiqqCAyG2lcEUkpatGhHTk4Grq7ufPddJFu3LmHs2JmMGFE6/3doaA9CQ4vCo/3f/8GpU3DPPZqxfPLk/3DXXfPx8wsprOPh0QR3dy+ysorvcMvL03aPX7qkxRnq0KFsGQ0G/ZfMbEUlr9eZa665htOnT3PixAny8vLIzMykXbt2hZvMbGHJkiUAPPzww+Tl5fHuu+/SsGFDnnvuuZoSu8ZZs2YNU6dOJSsrC19fX5YsWVJsmSwqKop169bx+utF21Ly8vJsso2cPXuWM2fOEBISUkoxV5Xa3kdQUABPPaWNVENDtQ1dWVlxXL3aEm/vAl57zZlt22awefNiAIKDu7NggWUvqWuvhW7dLEfTLIvkZNi1S9+H3tdfz+G7717lrrvmk5ubxYkTe5g48VU6dLixVN3jx2H+fE3htW0LL7xQehc0QEFBPhkZySQmRvPXXztp3jyUfv0mFqvj5QW9e5ed/e3qVa1fqitVZU3uI1AzAp3p3r07vr6+ODs7M3PmTNauXcuYMWNYvHgx11xzjU1tzJ49m4yMDKZMmUJmZiZz5syhefPmdqsITK6jWVlZAFy+fLlUQLlevXoRb9yW26pVK3bv3m1zHujQ0FBCS66b2Bnp6dqoNiurKIPZq69qG8WefXYEV6++RWrqLXzzDTRoUOQE36nTIKvtFhRU3GBcF9bCR42awdChj+Pu7sXbb9/FsWO7ycws2rYcH3+eN990JzvbEyndkVLzlDp9Gt55B2bOLD0LcnZ24bvvXmXbtncB6NFjVClFkJ9vfWlI736xFaUIaonMzEySkpJo1KhRsWBwa9euLXxvioC5YcMGhg8fbrMieOqpp0hLS6NRo0a4uLgwc+ZMuzYWl+c6amLEiBFcuXKFgoKCKqWanDVrFhcvXmThwoV1OluZiXPn/mTRoiySk4tCKAwfrikBgHvueZnY2CS++kryyy+C119fwLhxL+Hh4Y2rq3W7U0FBxde1DQb94+57eHgD2vbf8PA3uP32GbRqVZST49tvE4mNLQogFxQEzzwDs2drtpEPPvgOP78DDBv2JN7eRb+B3FxtMBIY2JG+fYsrAbCuOJUiUJRi27ZtjBs3jjvuuIN169aVWeeNN96gffv27Nixo0IJWF599dXC97a6nNZlbNlc9+uvv3Lo0CEGDBhQ4Uxsmzdv5tSpUwwfPpz27dvz1Vdfcfr0aV588cU6rwikhN9/v8L/t3fe4VFU6x//nN30QiAJPRBKgBCQZqQIiAjSBEQpijQVULzYUUT4eUUFDSrqVVFABJGmci2ggiKCAsJFqvRO6CEkkEACqXt+f5zdZJMt2U12kw2Z7/Pk2czMmZnvnN057zlvvXKlG5AOJFCjRjh33JGvSoyN7U9srMr5s2ULrF8fwsiRIVy+fI5Zs4YTEBDChAk/WL1+To7zg3pZqIQSEo4xfXo3ateOYdKk1QWORUTEADF53JKTYceOlgC0arWJyMhO3HWXygI7eDAsWACbN8diMAwz5ixSv4Ht21eQkHCUoUPj6NPneby8LG1I2dm2+6u8CAHQBEGpwcfHh9q1axdZpH7MmDGMGWPpq1yR4Ijr6DfffMOHH37I+++/z+7du9m5cydjxoxxqDLbl19+yfLly6lVqxZNmjThjTfe4Pr16x4tBKSE+fNh/Xrw8lLqnYCA2eTkvMKQIQvw9bWcrfbvrwTB2rXQpk0mNWtKDhz4g0qVbK+eiqMaKotsmjduXCMp6TSBgaqwwsGDG/jzzy+Iju7MnXc+Aqgsry+9ZEoP4UXz5jBxYqcCKqBu3VT/nDlTh9DQI+Tm5q+kr11L5sCBPwgLq2tVCID9GIryYigGTRCUGvr27ctZK9mnRo8ezYoVK/jiiy/o27ev09fNyMjg6NGjhISE5A2Ue/fu5caNG8TGxjqsN/ck2CpYb77S6dixIwsWLGDmzJmkpKSQlpZGx44dHRIE99xzT54QABg61DIJmafgyhWV3mDPHjVgAeTm6qhWDd566yn8/Z+3iAvYtu0HDIZc2rTpy113+bJuHUyfngncy6239mfQoNcsb4Tp2uVjRVCnTjM+/DAeU2mUhISj/PnnAoQQ5ORkkZGRxvXr40hLC8TXVxlzR460ZgeAZ56BuDhISorgnXdgxgxVcaxly55MmbKWqlXrc+HCEa5evUSjRu0LxCyAbWOwJ6abtgVNEJQx0tPTSU5OJjk5mYCAAKpXr87+/fvJzMx0qLDMiRMnaNGiBdHR0Rw8eBCADh06kJ6eztWrVwkODi7iCp6HYcOGsWrVKpYuVVWlrBWsHzJkCBs2bGDWrFl0796de+65x2EV0ahRoxg1apRbuLsSqakwZYoSBqAGsWeeUaUkq1aFgADrMQ9z5jxKevoVPvssmdGjfTl8eA/nzrUAphIbm0S9erbTbZcXQeDl5VMgrXZ0dGcee2weNWs2Yfbsh7l48Tg1ajwJwFNPQZs2ktzcHDIzsy2K19eurQztr70G588rgdurl6paFhqq8mSOGRNKevoV5sxJtFhR3QwrgvI3XSwHsJc1szA++eQTEhMT6dq1Kzdu3CA+Pp7AwEAGDbKeJdEaYmJiaNSoUd52mzZtiI2NLXHBm7LE559/zpkzZ0hMTCQ+Pt5qhPWoUaNYsGABH374Ic8++2zeDN9ZbNmyhR9++IFLrq4QUwJkZ8OnnyohUK2aCvR65hlo1w4uXFjC3r3LCnjFmKNNm37cdtt9eHv7odPBQw8p66+PTx86dBhh977lxUZQGDVrNqZr19FER3firrvG0qnT2yQk+BIYqNxhT5zYzogRPrz22h0W5xoMuZw79yfduh0D4Ntv8+scmNCgQSxRUe3Izs60OD/TchfgWhuBlKrAzVY3VW3RVgQuhq2smVu3bmXDhg0MGTKEyZPzE2GFGovHSilJS0tj3bp1DBo0yGGVTkxMDPv37y+wz1aq6/IEPz8/IiIsa8+akJaWRo0aNWjYsGFeHzqKEydO5KWW8PHxYfLkyfzxxx+sW7eOrl3tu1faw+nTSof/999qIA8NVZGnAQEq6rdhQ9tFzk3IzIT33oO9e9XLHxSkAsPMTUtfffUyyclnmDJlLStWxBEUFMozz3ydd/xf/1pY4Jpt2rSiVi04f17Pjz+uATbTtesYq7V9DQbnvYbKQhAcO7aVjRsX0bjx7XTs+FCBY126vIRp7tW+vepzb28/9Hovq+/V9etXeeONO/H3DyE6OoVDh2DuXHjyyfzva/LkNTa52Hp+e6qh1FTl+hseDvv3q1KltWqpQkVnz6qo5dOnYft2VRjHYICEBOjaFdats9s1xYImCFwMW66Pixcv5sqVKzbTIQghCAwMpG/fvmRkZDic86YkVc3KMz799FMmTpzIhAkTeOmll9i3bx9VqlRxqMrYgAED2Lt3L7t376Zly5Z07NiRkJCQEtd4njABzLyBLVC/vnJXtFc87ptvlD1ACDUwPPpoQSEA0KHDg1y6FE94eCT79q2lcuWaRXJr1kypPf788wxJSa/RtGkXq4KgvKwIzpzZx5o1s8jKukHHjg9x9eolDh/+i8uX67FkSau8QbhTJ/VZt+4tLF5sfWSW0kCTJp3w9Q3koYeUimjrVvUdPP100VHWpj4r3C4zUwWUCaEM1hs3qnaBgXD0aP45RfV3ujHrRUgING3qfOS3I9AEgYthy/UxJSWFXbt2WcxeV6xYwYoVK+jfvz8DBgxwKulZUTn7yzPef/99jhw5wvjx460agE1xEr/99huNGjVi3LhxPPjggyxbtszudZcsWcLRo0cBFYfw9ttvF3C/LQm6dlWzuRo1VHnGy5fVrC89Pb+W8bRpKkK0QQMwz4SdkQE7dsDq1eolf+MNtYKwBlMSudzcHF56aVWBbKJSSrKybqDXe+d5uly8eILffnsB+A6drgf33/9KgXPMURIbQUYGHDmiBFlSkppNDxyogt0UN5WW4eRJ9XnxIpw5o3z6H3xQGV0TElR/HTqk1DPDh1uv/hUV1Z5Roz6kVi2V3+H06T289959BAVtITsb6tW7Qf/+fkRHF/0+BQeHMXVqfvLCyZPhzTdVlHj//ljkbLL2/AaDZTT2H3/AvHnWz/HyUlHJV64ogR8VpVYDlSur/y9eVM99xx2qX7Kz4bbbwEome5dAEwQuhj3XR2uz1X/++YcFCxawb98+vvnmG3r37s2IEfb1uKAGtFGjRlnYAa5fv86YMWN4/vnnWbNmDS1btiz+w5QhfvzxR9avX8/AgQOtCoKxY8cyY8YM9uzZg4+PD126dKFp06Z2r2kSnBkZGYDK9upKwfmvf0GbNtZTTFy6BK++qgbBkydh505VB6BJEzU7nDEjf+bXv79tIWAOvd6LVq16F9iXnZ3Jww8H4u3ty5dfqudUtQjWAwaSkyPo1+91/PysX9N8RXD06FGWLl1q8zsw4eBBePFFNbgXxq5dSkd/7JgSjNb05kePwl9/KUFSGCkpaqWVmlpwZVSnTjPq1MmvKhcSUp0WLUazZ09bIIv4+Hq0b59gk7M9REWptBF//gkHDihBsHLlDH7+eSb9+0/innueL9DelvA0OQnWqKEEf8eOaqBPSVHfe2CgGuS9vR2b4TuT9sNZaMZiF2P69OkWycvsBXn169ePefPmERUVxbJly9i1axeDBw+mQYMG1KlTx6rB2TSg2TIGZ2RkkJiYaKGiKk948cUXmTVrFjG2ykIBvXv3ZsCAAWRlZREfH8/UqVPtGuftRSzn5ua61bhetaoSBA88kK+u+OorNXi++64SApGRamY8eLDt66SlXeHSpXirRksAgyEHHx//AhHE1as3JDBQEBBwlNxcwQ/WY8mM5+fbCJYvX87UqVOZOXOm3Wf780/1HHq9eoZ771UqldhYNavfskUJwtxcpd5o00bNbEeOVAKkUSMlBHx91QDZogX066fsI7t3w+jRSl///fe2OdSp05xGjeYBOvz9f6dOnWoFVtdZWTd4661ezJjh2JTa9LM7cMDUL7lcvXqJ1NSLFm1tBZUlJ6vPTp1MnktKILRpk7/K8fFxvZqnONCSzrkBcXFxvPzyy0C+62OtWrVYt24dd955J926dctra67jDw0N5emnn+ajjz4iyVpBWVRBFlvZI02IiIhg27ZthIWFlauMmsWBtSL2QgiklHl9D0oIWFupmWPBggU8/PDDJeLjSNK569eVB1BamkoLYTDALbfAxIlFG5PXrp3D55+Po2vX0Tz22DwOHdrInj1raN68GzExd9o998ABmDZNIqVgzJgEunWrYbWdKer2r7/+YuHChfTt2xe9Xk+fPn2sqi4HDIAVK2DUKOV2aYLBoPojLU3ptqtXt17vwGQIDQ8veHzPHrVSMv+59++vZtA1ax4nOPg4NWvGsGlTBKtXw7Vrqs2UKWq1ZY6cnGxGjPBBp9Pz5ZcZeSUsVb/8ybvv9qd58248/7yK+r90SQmzgAD47DO4fv0KOTmZBAWF4uXlw+bNX5GcfIa+fV8gPFxwxx1KkKWmphIcHIJOpwTiypXKznP33Xa/GoegJZ0rZxg/fnxe1bEBAwYA8NprrzFt2jSEEHmCoPAglpyczNSpU/GztW7HdgphEwICAoiLi6NGDesv+c2CNWvW8NJLL3HixAmLWb5pcnPq1CmGDx9e5LWCgoJIS0sjp5SsngEBSne+0Ojc07KlmjE6WlQuNDSCsDAVPLhv3+98//00pDQUKQhiYuDWW7ewffvtLFrkQ6dOmfj6+lq0MxlaO3bsyO23305UVBQnTpzIM66bQ8r8OIfCCXN1Orj99qKfR6dTevLCaNEC3nlHrTR27VL9tTKvnFVD4CyhoX5cvqz2CCFp3txATIylDsXLy5vnnvuW8PBIC2GWkZHGjRtXyc7O101VraqEYWKiStVRv36+I0FKSgIffaSCEGNi7iQk5DZjhHEOUVFRVK9eh6VL15KYGAx4U6lS0X1Q1nCrIBBC9AL+g6pQNk9KGVfo+PPAGCAHuAQ8KqW0P20rB0hISGDQoEEFBuM777yT1157jTvuyPdjtqaqUFWkbhTrvnq9nlGjRjFlyhRGjBhRbr2IpJQsX76cSpUq0bNnT6uz0JSUFHbv3l3iewUEBPDpp58ybNiwUq1O1rOnmiWrwDDHz+ve/XG6d388b7t58+4YDLk0b97d5jkXLhxh27bviYhoRpcukt27T5GZGckjj9zL/PlLLYq6mLs9CiHo2bMn27Zt4+rVgnn5DQY1CzcJAncMeCYBYVppnDqlBOb69dnk5nbh8mV136FDzzNnTgQXL9ZHpztu9Vpt295vdX+rVr2YN+8KhbUjTZsqQWCyE5gQElKde+6ZwOXL52jY8DZyc5Xe/9Spo1y/foP09Gvs3r2dbdtCgHYWAtIT4TZBIITQA7OAu4GzwDYhxEop5QGzZruAWCnldSHEE8DbgGXSlHKG22+/naSkJC5evEi1atUA6NKlS14hFBNseRgVBwEBAYwaNYqFCxeWey+ijIwMHnjgAXx8fArUcDbHkSNHSnwfvV7P3Llzy6RvhFD69JIiOroT0dGd8rYvXz7PrFnDCQurkxdPsGrV+6xdOxuAZcsk/funofIePm41h05OjnLPjY6OpnPnznz44YcWdR5yc5WXS06OewWBOczVTgMHenP8uFotREVBZmYuQkBi4gmeeqoeERExvPTSKtsXM4NOpycw0DJbb0yMsn/88gvUr5/M5s2TOXRoI+++e4Dhw9/Na7dp0/f8/PP/GDNmAjt3JnH2bDyTJo0lN/dzQHkHeTrcaSxuCxyTUp6QUmYBXwEFajRKKddLKU1T4v8BtiOIyhFqGacxq1at4uJFS+OSCeZJ1EqKuXPnsmrVKpvG0PKE7OxsBg8eTP/+/a0eX7JkiUsyrBoMhnIlIB3B8eNbOXBgPYmJJ/L2DRr0Gu3aDeKVV/4AoGfPIPR6A1L2JjnZh4yMdDZv/opVq1SBoytXrvLMM8/QvXt3UlJSLISAyQ3UpElLSVGfrpj55uRks2bNLBITT9ptV7ky3HortGqljMqhoREsWZLLm2/uICnpFFeuXLA45+LF46xYEcdvv83mypULGAwG0tIu27xH27ZqJZCUBG+/Hcrvv2/PS0ttjmPHdjJnztvMnPl/+Pr60bBhNE8+OQVfX7WMKA8rArcZi4UQg4BeUsoxxu0RQDsp5ZM22n8MJEgpLZy6hRCPAY8B1K1b99aijH6egB49evDbb7+xevVqevXqRXx8PJcuXSIyMjJvlbBkyRJGjBhhsSR1FpGRkcTHx6PT6axeSwhRpG2hPKFevXpFGn4dganfli5dyuLFixk6dKhDrrv24O4KZRMntsDLy4cpU9bmzWIvXDjChQtHaNbsLry9fTl+fBs5OVk0bWqZTsGEjz9WLpvh4TBmTAJxcTXx9Q3ks8+SqVfvGj///C4JCQksWPAFmZnKzTEpKQUpvfD2Dsoz4GZlKU8fIWDx4vyaCMXFxo2L+OSTkYSHR/LRR/E220kprarycnKyuHLlPECBspMA//zzK3FxvQrsa9GiJz17PsmWLV/Tpk0/OnQYUuB4ZqZK9bF1K4SHp9Kv33/p0WN0gTbHjv3N5s3vMH36bKpUUT6upn7R6VQZUVfkfnSnsdgj3EeFEMOBWOAda8ellHOllLFSytiSFCCxBWdyAzmKLl26MHjw4Lxo1ZkzZ9K2bVu+/jo/FcCwYcMYN25ckbppe8fNXVNtrTBctfJwRz8VB65QqZn324kTJ1i9ejWHDx8u8XXdiZycLM6c2cupU7vx98/XN7z//kDeeacf588fQqfT06hRe7tCAFSgVsOGarY7c2YNGjVazMCBr5Gbm01AQDj/939xvP/+F5w9qzx6xo8fT8OGVfjhh+8KePGYq4VcMdiZjODWop7N8fLLrRk50o8TJ3YU2K+S0dWzEAIAdeu2oHfvZ2nW7K68fUlJ8cTH72bTpsWcPv2PxTm+vjBunPJ4SkoK4dy50Ra5haKi2vKf/yzPEwJAngHbVf3ibrjTWHwOqGO2HWHcVwBCiO7AFKCLlNJG+ib3wV3RuYXVMXXq1CE2NtbCm+eTTz6hY8eOee6NJtdHEwICAgrose2llJg+fbqFK6WrCtWUZhRzVlYWBoPBpveUraC9wn1XGEFBQaSnp1v025AhQ2jdunWBxH2eCL3em48/Pk1qamKBVMhNmnSmShUrbjd2ULmyymH0xRcqP9LRo8MwGCAy0kBUlCQpqeDko1atOvj4+JKUVFDVafKVd5V9ICqqHR9/fIaQkGo22xgMuVy7lkxOTja1ajUx7jPwzjt9ycnJYsqUtVbPq1KlJiNHvp/X/ty5g0RExHD27H7Cw+sSEdHM6nl+fkoYvP46rFmj4iJiYlT8Q4cOKqdUbq5yazXB1C+5uRfIyKhkYZD3NLhTNeQFHAG6oQTANuAhKeV+szatgf+iVEhHHbmuq+MIbKkZwsLCCAoKcjqHz9atWxk2bBhdunTh888/d5pPSXMHLVmyhEmTJnHu3DmqVq3Ke++955KB2lY/mdQrrsTy5csZMmQIQ4YMKbCCMsFa7IDJWL5q1aq8mAyAy5cvl6r3VGHV0E8/vcuePWt48cUf8fa2dNV0JZYv/zcXL56gR4/xNG7coegTjNi6VRW9MTkFDRkyhxkzHi/QJj09DW9vH3wKBQJs2KDiB5o3V/77pQUpJampF6lcOX9iNXZsOGlpyTRv3o1OnUbQpYtrU43v3g3Ll6t0ISYIoVZXL76ojMJSKiHw998wfjzAWt54I5ioqHYlvn+5VA1JKXOAJ4FfgYPAN1LK/UKI14UQJivgO0AQsFwIsVsIsdLG5VwKcxWHLV1zcnIyp06dQkqZN/t1RBVy6dIljh8/TkJCApmZmVwxrZ0dxLBhw4iPj8dgMNhMv1zU+V999RVSSho2bOiywc+R8pGuQkZGBt7e3gRaSzKDesa5c+cSGal8wiMjI5k7dy6ffPJJXt8lJSWRlJRU7H50FZYseZG9e39j717rs1RX4tq1ZP76awnJyc59J+3aqQLu9eqpHBcrVvxFamrB321gYJCFEAClWgLXrQji4nrzwgsxnDq1x247IUQBIQAwduxc7r//Ffbt+51//llt9bzU1ET27VvHhQv5XmcbNnzJmTP7iuTWqpXKFfX222qF0Lq1Gvg3bFDG88RElW7j2DGVURQgIqIawcGuV2e7Gm6NI5BSrgJWFdr3b7P/bTs/uwnWZpOOwFrxdGvo1q0bhw8fZv369fj5+dG9e3d+++23klB2GhEREfTu3dvpWr724Ej5SFdhxIgRDB8+3G7Kh2HDhrlscDd9X40aNSoQ9e0KvPnmTlJTE2jRokeJr7V792p2715N69b30LJlwamhTgf33/8w1ar50qfPfTg5/8DPDwICjgCt6dfvfUJC7GdiNRiU++jevWrbVZ4x584dJCnpFLNnP8zEiT9TpUrRmVVNaNv2furUaU5wcFWqV7eerOmDDwZx6NBGateO4tdfj/LLLxv59NNR1K9/KxMm/FCkbUIIqFNH/bVrp6KGz5xReYXMY/NMUc7Nm7egenWHH6HMUA7MGK6FtSAuR+HI7Nff35/GjRvTtm1bvLy8OH/+PPXq1UOSvAQjAAAeIElEQVQIgV6v57nnnivWvZ1BZGQkq1atIi4urujGRcC0erImBFxlf7AGIYSF26K7sHXrVp544gkWmkJ9XYj69VvTqlVvi/KGxcHBgxv49dePOH58W4H9er3SWffqdRvTpr1HkyY+NGtWcGByBO3btwYgNdV6Xe0PPniN7t1j+P77n9izRw2ArrYRvPnmDvR6b+Ljd5GcfMZqm6lTO/Pmmz24fNnC5EjNmo3p1espWre2nlNo3LhPqV8/hunTPyYwEHr3jqVTp4e4cOEw6enOSU8/P4iIUEKx8OuRaqwZVB6iiqECppgoajDX6/U2Z6LOzH73799PpUqVOHAgP37OYDDwwQcfkJmZySeffOLwtcoK9lZPERERxMXF3RR++E2aNOHxxx+nXbuS63HdidtuG0BISDUaN86vaeHvr7x/goIKtg0OVoPUcetBtlZh8mM4r7wvychQqp+UFJUU7+DBJI4fP8jOnUfyUkub7AquWhEEB4fx7LPLycq6QbVqDSyOZ2SkceTIX+h0eoKCrAssWwgIgP79m3HvvfvN9vkzffoSzp7NLZawjopSAvHYMWjcOH+/qV9ycs5z4MBRYmK6WL+Ah6DCCQJbKg5Qs1BbQsDR2e/XX3/NwoULWbdunc2o2NmzZ9OxY0e3DqJSSlJSUggKCip24jl7q6elS5fSuXPnklC0iTfeeINNmzYxadKkElUMcxTt2rVzixDYtGkJ69d/TmLicTp2HMaDD77JmTP7+eqrl4mO7ky/fi86db2oqHZ5Rke9HurVU3EAtryLq1RxrPCJCSZBcPasqoxVOPVSnz7PctddYwqoXdwx842NvdfmMV/fQD766DQXLhzGx8d2Ti5rqFbNel9Vr66qtxUHDRoorytzAzLkC4LvvvsXP/20hi++SC/VFCbOosKphqZPn05AoeQuAQEBVKlSxa7roclGUJTBeM2aNaxevdqmEAA1SLs72rdDhw6Ehoaya9euYl/D3urJFBTnaixZsoS33nqLNWvWMGTIkDKLVXAFduxYyYED60lKOs2+fb8DcO7cAXbu/JFly14iIeFYsa5bqZJKyFa1qv0Uxl5ezs3Uw8KUC2Rqav5AZo7q1RsSGdkSP7/85YcrVwTHjm1lzpzRbNy42GYbIQRhYRE0b+6cLUcIJTStwddX9WVxYKobUXjlZeqXmjXDaNy4I5mZnp0SvsKtCEyz8LFjx+Yld/P39yfZpOy0A0d854cOHcr8+fOLvJY7vG3MERoaSnBwMNdMVqtiwNbqKTIystiF4u3BpIoyfS9JSUmlkispMzOTpKQk9Hq9S7O2duv2OFWr1sPPL4iWLVVEa5MmnahcuSYpKRfYvv0H+vZ9waFrpaZe5ODBn2nb9jZiYm5xmENoaH4KiKKg06lZ87lzqkJWUZW5IH/AK+6KICMjnbNn91GvXhvi43fzxx/zuXz5LDqdnipVahbIqJqbm4NOpy/WzDoszH5214YN1TM4o0oDZTT29lZBdzt3qjrDR47kF6V58cXP89RonowKtyIwwTzlQnJyssM/rqJy93Tv3p1IB7KJucPbxhwrV67k6tWrJfKCmTZtmoXLoJeXl9sMxPYKx7gTW7ZsISIigqFDh5b4WqZqVI0awQMP3MVTT83ggQdeoW3b2wAV1DRs2Du0bNnLZrnIwvDzg4yMv/jPf0YzZ45z6iSTeshRmAatBCvFvQwGA99++zpz544x5ukpuWpo8uQ2vPJKe86dO0hMzJ2MHj2bsLC6fPzxQ/z226cF2v7++1wmTryFHTt+dOoeej3Url10u6pVnV/ZeHnlC8x33oGvv1YpszMyVG2FEpbBxstLCRpvb/cmr6twK4J//vmHsWPHWqhunAmsK2o2by3C1xzu9LYxwRUeN3fccQdZWVkF9oWEhJCYmMj27ds5fPhwiYLfCqM0YxXMERgYSK1atSzqSRcHhV9W8+20NJW7plOnYXTq5Fg/1aihZp1ZWVXp1+9BWrVyzpbh7a2CvY4dU/WTHbkfKNdQUKuJQ4eUV4yvr46VK4PIynqAvXsNXLmiIzdXVduyU0LDJpYtm5Tnz5+RcY3IyBbUqtWEEydiuX49lSZNOhZon52dwdmz+wvUDSgKQqicP/7+RbcFtSIyCTdHMXSoylB67ZoSJi1aKE+imjVVv0gpyc3NsZrp1RrfgABln6lSRdVzNqWocNYLzBlUuAplixYtYuTIkTaP2/MaMsFeNO3atWvx9fXlxIkTvPrqq2Ua5VpSxMfHM3LkSLZs2WJRtMXb25ucnBwLARoYGIifnx+XL1+2+tyATeFRmtHL7kJyshoQTp06zj///E2zZm24ePEcBw7s5pZb7mX16lUEB4dx22332zV26nQQHe06I+zVq/llF+3h999VwfXatZUQsdftQkCzZtC7tyq/aNonpRq0fHzy/emtYfLkWE6e3MGrr24gOrpox4Pc3Bxmz36Exx+f79CgCmpgdqT+swkGg1LxuKpG0aZNnzF//vP07/8YEyfORK/PT0chRP7/er26p5+f7drEvr6USM2kVSgzQ9euXQkPD7daCtIRIWBvNr9kyRJGjhyJwWAoc/fKjRs38u9//5vAwED27dtXrFl7vXr1OH36tNXKXdnm1UvMkJ6eTrqxCru53eXUqVM88sgjCCHyVhmnTp3KCx6z1felsXoqXC4UHBdehc+vXbsuEyZMJyHhLDNmTOKBB8Zw9WoKq1f/l7ffrsbixc+Tm5vDwoXXuXz5PMHBYRapJ3Q6VRTFlaqAwu6ltmAaaM4ZXfR9fJRAatAgv2RkVJQqGBMWlr8SCAhQXkxBQWrlERCgCtzs3q3O8/ZW2zqdmuVeuwYvvPAVGRm7iIxsTXY2bN36Lb6+gcTEdMHHxz9v0DRBr/di/PhFTj23s6oZnU55EZ2zDFEoFmrUCOLGjTRu3LhAUQtOd874i0KFWBGYXtRTp07lDTi2EpQVlbjMVDPYvJ21fWCZMK40MWnSJGbMmGG3jYm3qU8iIyPp06dPXr4ee662pQFTzWF39l9Rkebe3t4FhBeo38i4cePo2LEjzzzzjIWjgb9/ACNGjOfw4b0MG/YEKSnJ7N+/i5497+Onn34hOzuZgwePsm/fBqZO3WShAmnSpOAAlpFxg5MnjxIV1bRENaj37VPqKXvIzYUvv1Sz+jZtVKCatTrDhdGokRIMhXH+vBIMDRqoTyHy1TRSqu2MDPjjjws880x9srIymT8/iaioIJKTEzlyJIUvvniKO+98lDvusL2StwadDmJjnc/+KaVShVmzkziL6Oh0hMiiUqXKJXYfdeeK4KYXBMVJKVGUMHAGZaHWWLJkSQGvqPIIvV7PwoUL3S5EXVXboDBq145k06Z4m8cff3wEf/31M+PGfUFsbH4BnshIy5d91ar/Mn78YFq3bs93320pNqf4+JIPbmlpV1i+/N9IaeDRR2cBajCPjc1Xaezdu4PQ0KrUrl03b7C3h/vv78CuXf/LWz199NFybr+9FomJF+jadTTr139O166jeeyxeU5xDQ0tGOTlLPbuVYF0xUVgINziuINXkdBUQyVAcVJKSCmJjIzk9OnT6HS6ItVF9uBuQ6c1TJkypVwLAYDc3NxScR111/dz/rzldW/cuI6fnz9CCOLi5nHokE/epOPrrycTEVGZ9u1fAmDr1g2cPXuSgQNHER5enerVa9Gjx4AScQoOLrkgOH36H9as+RiAoUPj8PcPxtc3A70+394xadIYDhzYzfLlm4iNVaud/ft3UatW3byc/U899SBbt/7JsmXrAbU6HTz4Edq06YAQUKNGbYQQ9O8/hqZNuxAVFeM015J67AQFlUwQOHt/W8V2SgM3vftocV500yzeYDCUuLKXu91EraEshI87UBquo+76fqpVKzh1k1LSp08rXnzxEbKzs6lSxRdfX/XSBwWlsWJFHPPmTeXSpQSOHNnPgw924dtvF3LlSjJt23bml1/2MnasYzEHtuAKm0N0dGcGD36d5577Fj+/IC5ePM6ECbfxyy/fAcrFtGbNOoSFVaNZM5W7KCsriyeeGMiDD3bh8uUkcnJy+P33H7l0KYGzZ+P56KOv2bfvGrfeenveQPjDD3/zv/+do0uX9jzyyAj69LnVKZ6hobYDyByFo3YVUOozX1/l7mkay02uqC+//Bj16wvOnVPv5ebN67j77hiWLfss7/ylS+fQvXtTdu3amrdvwYIPmTr1ac6ft55zyZW46QVBUS96YQlc2DhZkoGiNAyd1uBO4VM4KhuUp5DOTWWY3C3U3PX96PX6ApOIkyePEh9/lG+/XciaNT8ASqfepIkqBjN69HN8+OFXhIdXp3HjZgwYMJyoqJi8GXTlyqHobbmTOAjTYFUcmL5enU7PkCGv0Lbt/QghWLXqfc6fP86kSWM4fvwwOp2OefNWsm1bAv7+6rcSH3+UhISz1K3bkODgELy8vPjxx528994iOnfuQe3adfPammB6L6tUUQO6r68qpuMIQkOVzaKkk2tnBGfTpiotdWysykravn3++adOqQjykyeVq+y1a6kcO3aQ2bPj8n4jSUmJnDhxmLlz38675urV/2Xhwo84fbpQ/go3oELbCAoXM7HlEVKctNWlpeO2huJyLgom4601Dxp33tPdNpbw8HCHIssdQUhIZR599HmeeGKShWH3woWz7NjxF716DSwyzuPGjev8/fdGunQpQSUSK0hOhqMOlIDS69WAGhSkBrSAAFWH12BQnkLXr6sylcHB4OeXxfnzp4mMbGhVtZGVlcXevdtp2bJtieJbUlNVPETVqvmJ8QrD31/FTZRQZubBWs6lwtDr4bbbbB8/cGA3mzevY9iwcfj7B3D1agpnzpwsoCo7e/YUly5dIDq6RZ5Q/Pnn5SQmnufuuwcQERFZfo3FQohewH8APTBPShlX6Lgv8CVwK5AMPCCljLd3TVd5DTnjkeKM1xGUrbeQCdZcIk0R1IW9nRyBI89k3k+F+8e0bav/rHnnlFY/ukKImTyJ3njjE7u+856A8+dVKgRbCA5WLqOuGkxdidxcxev0aUth4OeneBcnuM0WDh0qOkVHpUrKu8rdcKcgcJtqSAihB2YBvYEYYKgQonB3jQauSCmjgPcB+/6OxYSp6peUMi8IypmqVdbONxgMSCmRUrJ48WKLalllHTBmXunMVK2rMO/c3NwC/IE89UNYWBhhYWFOPZN5Py1atKhAnyxatKhA/xU+vmDBAubPn18m/Wit4lm3bt2sqg2feOIJi74yPV95SC0OajCxpyIKDfVMIQD5vOrUUS6pt96qVDJNm0LLlq4VAuCYncAZW4Knwp01izsAU6WUPY3bLwNIKd8ya/Orsc0WY43jBKCqtEPK1TWLNWiwheLUjzZFFns6Ll6EkyetH2vZ0vGUDDc7btxQqwI7yYRtxlC4GuXVfbQ2YG7uPgsUTpSS10ZKmSOESAXCAMuwXw0aShmuLIfpaahaVWXILBwg7uurCQFz+PsrwRgfr2oSW8PNsCIoF15DQojHhBDbhRDbL126VNZ0NGgo99Dp1Ey2sCeOo545FQk6nVJDRVhJFuvtXbapIVwFd64IzgF1zLYjjPustTlrVA2FoIzGBSClnAvMBaUacgtbDRoqGCpVUn/Z2XD5slJpmas4hFB+8Sa308xM5UHj66tSVZQwxKbcISJC5Vi6fl31mflqqnp1tXrIyMhP45Ge7nh1uLKGOwXBNqCREKI+asB/EHioUJuVwChgCzAIWGfPPqBBgwbXw9tbDWTVq6ttnU6tDIKDbfviBwQoVYmXl3IrLW/Q6ZSAMxic46/TWVcFmYzYfn75BuucHCUYygPcJgiMOv8ngV9R7qPzpZT7hRCvA9ullCuBz4FFQohjwGWUsNCgQUMxoYrYlOwaPj5Fp7/281NZREEVby9BFpZSR1iYGsxNKbNPny75zN1aPKWPT/kRBOUuoEwIcQkorZSY4Xim4Vrj5Rw8lRd4LjeNl3PwVF6Qzy1SSmm1OnO5EwSlCSHEdlvuVmUJjZdz8FRe4LncNF7OwVN5gWPcyoXXkAYNGjRocB80QaBBgwYNFRyaILCPuWVNwAY0Xs7BU3mB53LTeDkHT+UFDnDTbAQaNGjQUMGhrQg0aNCgoYKjQgsCIURIWXOwBiGEC2pJuR6e2l8AQogSFiZ0D4QQpZCOzHlo/eU8bub3skIKAiFEkBDiPeA7IcSzQohWZc0JQAgRKISYBXwrhHjIGJVd5vDU/gIQQgQY++wXIcRTQojWxv1l+ts29tn7wM9CiGlCiK5lyccErb+cR0V4LyucIDB21hogC3gVFWzxrzIllY/XgUrANKA1EGe/ufvh4f0F8DwqY+0owA+YAyClLLNMOEKIRsD3QC7wKHAJmFxWfApB6y/ncdO/lxVOEACpwKdSyklSyk3ARiDXKPVLWOXUeRiT7SGECAKCgTellBuA6YBOCPF/pc2pEDyqvwCEEH7GTy/AB1gqpTwkpXwHuGScWZblLDcdmCulfEFKeQBYBVwQQljJX+l+aP3lPCrae3nTCwIhRCMhxETTtpTyJGr2YcJ1oLGUMr00E94JIaKFEAuA14UQkVLKNKAKxsR8UsoUVMW2QUKIGqXIyyP7y8itsRBiCfCRECJWSpkDBAEdzJqNA0YIISJKa5YrhGgihMirOi6lPA+sNmsSAERLKc+WBh8zXlp/Oc+tQr6XN7UgEEI8BKwDXhRCPGbcpzd+uSY0APaXMq8wYAGwD5WQ700hRHfgZWCIEMKUD2QP8AdwTynx8sj+MvLwR6kx/kH1y3ghxGjUSzlOCBEOIKU8AywGxpYSr3uA74AXhBCTjPu8CvVZKHC4NPiY8dL6y3luFfa9vKkFAaoq2iigP+rHHyClzBUKpmdvAOwEEELcK4SILAVe0cB1KeVM1I9sNfAA6sf3Hap+M1LKLJTetLSq8XhqfwE0BNKllG9LKT8C5gH3Af7ApxQMmjlifBZKQX11ERgGNAZeEkIEGTPv6szuHYPxJTUaGxu7mRNo/VUcVNj38qYWBEad3kYp5RZgLzDVeEhntgy+BagjhFgJDAdySoHaTsBXCHGrkcdfqJKd9xk5thdCjBNC9ATuAEplye7B/YWUch9QTwhxh3HXHuB3YCIwBQgVQrwqhBgCjAFuGM9zq/pKSrkdOCSlPAb8Asw2HhJm9+4EVBVCfI8aBLMtr+RyXlp/OY+K+15KKcv9HxBSaFtYadPc2Im3mO2rikrPuhl4wA28qgDehXmhPBAmA9PMjt0LfGD8vyPwHPA/YFhp8Srr/jLew8fKPp3x8ylgsdn+VqiaFuGoGeZIlCeFO/rMgpeN7zUFuM3smC9qEN4BDHEDr8qAlzkXD+kvC16e0F/Ge4QCATb4lOV7aZVXoTZueS9d3sml/Qf8H7AbNct5wLhPb6Pt68Dnxv/bGj8fdhOvV4HTqCX401aOdze+lH2N242B7YCfm/vLLq+y6i/jtWeg1Bb1jdui0PEo4FtglHE7DFX4qIab+8wuL/PfHPAKsN74fy/j5wA38fq3cVCYDTxpzqOM+8sur7LqL+O1/w84AMwHJlnps7J6L+3yKtTW5e+l2x6sNP6Ax4AfUfWQW6N0dlF22nujJGca8AbGmZMbeN0OrEXNMFoBR4GOhdpUQs3IdqLqNg9CeQGEu7G/iuRVRv2lByagDITzgEfttO0BHAfaAEOA9UBdD+BlPuPNAa4B/8Fs5eVCXpVRgnwpSjfcGbhgGuALcSnN/rLLq6z6y3iPEJQwX2YcL1qiSugGG4+bVlGl+l4WxcvGOS5/L13+YO7+AyoZP/XA28B9ZsfWAj9b+9Ghlk8rUbWUO7mJm2mW0w5YjnEWATwLLARqWznnFWARagbVwRN4lVZ/FbpnJGrGOhKYCcSauFhp+wTwIUp9YFOQlQGvcOAzYJc7eaEMvv0K7ZsP9LTRvlT6qxi8SqW/jPfyxriiM27fi1qxWAhP47bb30tHeBVq67b30m0d74YOq2L80Zgs+X6o2drXQA1U0McHKGnazXiOzux8H4xLTxfzCgM+wWyWBXQ17osy8QB+Ah4ybuspOCMK8BBebu8vO9y8jZ8RKFXM84C/cZ8w/zT1oafwMmvr5Y4BzQavILP/g40DQ/1C55VFfxXJy939ZYubcb/OOH6cQs3EN5GvkiqT99IBXu4fx9zxJbjpi51j/OuKGvA/M+7/DOUHfcDYkeOBJYXOtZi9uYhTDPAbyqvhc7P9XsB/UbPIAOO+YcD/SqmvSsTLXf1lj1uhNgNRM9gepfj7Ks+8QlEeOG5Rq5QnXo5wAxqY/T8cOFgeeLnzvSwX7qNCZf3zBqZLKdejjCURQogxUsqxKONUbynl10AyyriT5xMtjb3oBqQCr6H0fJ2EEJ2N98tBCac+gKlW6H+BeFE6GTxLxMuN/WWTGxTwYf8dZdBuLoR4WgjxgBv5lFteZmgAXJNSZgshBhndGysqL5vcTD73UsoTZm2/AU4LIap5Oi93vpflQhBIKa+hdLUDjduXUcv0fwkhQqSUJ6SUp4QQDYHRwGVjO3cOaEgpzwG7pJTXUUayqWbHfkAti58QKi/JKuCqlDLVnZw8mZcD3KQQQkgVxn8NmAQ8DVzReFnyMkM3lP/7fOAFjDEBFZGXPW7S6HNvEuxCJbv7BjgqpUysqLxM5Dz6j3xDZydUtGGgcdsPpUt70Lh9H3AImFCGXHcAo822fYAWwLsY3eg0Xva5GfdFonSlHvNdejivWajAp8c1XkVzQ+UyegZj6g2NlwfZCFARj8ON/5sbbHTkGwsXoTLumY59DNxt/L82bvD1tcfL7H8v42c/lFpKB9yP0RsHN+j2PJWXC7jVMu731XgVyWsgKolce9xj2PRIXi7gFoJKweFpfeY2XkXyLu0bWum4YNTM9BJqthVidsy8I+ugfHzjgYdRCZ92AN3LmFfjQuftQ6XVXQFUryi8XMRtpYf2mafy+gmoWlF4uYjbjx7aZ27h5TD/MrtxvlTUA/cY/18EvGveeSi3vWXACuN2N5S+cQsw0AN4fQtUQ/lQPw+cAO6tKLw8mZvG6+bg5cncPJWX089R6jdULozvoqIIe5g60fgZCZwEmpm1HwRMLA+8MMv/cbPz8mRuGq+bg5cnc/NUXsX9M0mrUoHRKj4LpeJZjVLx/ADMk1JmGtvEAU2klPdZOV8vpcz1QF5eUrlmVghensxN43Vz8PJkbp7Kq0QoTamD6rjN5Of36ImSqMPN2vigrOYdgGbAXcb97gxy0njdJNw0XjcHL0/m5qm8SvJXqnEEUsqr5Bt7QeX73gXcLoxl36Qq+vCl8di3qPwaSGMvarzKnpcnc9N43Ry8PJmbp/IqCcoioOx7oJUQoqZUpdb2ABlATQAhxJ2osnlvSSmjpZS/a7w8kpcnc9N43Ry8PJmbp/IqFspCEGxCpVB9GEBKuRNoiwqmABWA0llKOUXj5dG8PJmbxuvm4OXJ3DyVV7HgVdo3lFJeEEKsAOKEEMdQ6Q4yUDVAkVIeL21OGq+bi5vG6+bg5cncPJVXsVEWhgmjmqw3Klf5Ico4zYHG6+bkpvG6OXh5MjdP5eXsX6m6jxaGEMIbZT/xKFcqjZfz8FRuGi/n4Km8wHO5eSovZ1CmgkCDBg0aNJQ9ykUaag0aNGjQ4D5ogkCDBg0aKjg0QaBBgwYNFRyaINCgQYOGCg5NEGjQoEFDBYcmCDRoKAJCiFwhxG4hxH4hxD9CiAmmguN2zqknhHiotDhq0FASaIJAg4aicUNK2UpK2Qy4GxVE9GoR59QDNEGgoVxAiyPQoKEICCHSpJRBZtsNUCkFwlFFSBYBgcbDT0opNwsh/gc0RRUoWQh8CMQBdwK+wCwp5ZxSewgNGuxAEwQaNBSBwoLAuC8FaAJcAwxSygwhRCNgmZQy1ph98gUpZV9j+8eAalLKaUIIX1R64sFSypOl+jAaNFhBqSed06DhJoM38LEQohUq4VhjG+16AC2EEIOM2yFAI9SKQYOGMoUmCDRocBJG1VAukIiyFVwEWqJsbhm2TgOeklL+WiokNWhwApqxWIMGJyCEqArMBj6WSq8aAlyQUhqAEYDe2PQaEGx26q/AE8YEZQghGgshAtGgwQOgrQg0aCga/kKI3Sg1UA7KOPye8dgnwLdCiJHAL0C6cf8eIFcI8Q/wBaqmbT1gp7H4+SVgQGk9gAYN9qAZizVo0KChgkNTDWnQoEFDBYcmCDRo0KChgkMTBBo0aNBQwaEJAg0aNGio4NAEgQYNGjRUcGiCQIMGDRoqODRBoEGDBg0VHJog0KBBg4YKjv8Hm8edx4Tt5/cAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "10a77c53df6845c8a8dbdaeae744dcaa",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 1.5256152153015137, 'log': {'agg_test_loss': 1.5256152153015137, 'agg_test_loss_p': 1.5256152153015137, 'agg_test_loss_mse': 0.07976607233285904, 'agg_test_loss_p_weighted': 0.29099002480506897, 'agg_test_score': 1.5256152153015137}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.384540</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.557549</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>1.026797</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>1.119962</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.539625</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.548468</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.093251</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.539625</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.039882</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>0.009081</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.026712</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.051930</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.046734</td>\n",
       "      <td>0.047913</td>\n",
       "      <td>0.059609</td>\n",
       "      <td>0.067944</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.057514</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.070719</td>\n",
       "      <td>0.050012</td>\n",
       "      <td>0.054685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.063805</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.104916</td>\n",
       "      <td>0.114480</td>\n",
       "      <td>0.116793</td>\n",
       "      <td>0.150794</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.200654</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.293302</td>\n",
       "      <td>0.380252</td>\n",
       "      <td>0.468119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.548468</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.854500</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.093251</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.539625</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853             0.384540   \n",
       "agg_test_loss_p                 0.136680      0.308816             0.344658   \n",
       "agg_test_loss_kl                0.000092      0.009037             0.039882   \n",
       "agg_test_loss_mse               0.053102      0.044686             0.051930   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492             0.063805   \n",
       "agg_test_score                  0.136680      0.308816             0.344658   \n",
       "n                               3.000000      3.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                   0.394125    0.557549   \n",
       "agg_test_loss_p                 0.387186    0.548468   \n",
       "agg_test_loss_kl                0.006939    0.009081   \n",
       "agg_test_loss_mse               0.045177    0.046734   \n",
       "agg_test_loss_p_weighted        0.069565    0.104916   \n",
       "agg_test_score                  0.387186    0.548468   \n",
       "n                               3.000000    3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                                    0.604279   \n",
       "agg_test_loss_p                                  0.604279   \n",
       "agg_test_loss_kl                                      NaN   \n",
       "agg_test_loss_mse                                0.047913   \n",
       "agg_test_loss_p_weighted                         0.114480   \n",
       "agg_test_score                                   0.604279   \n",
       "n                                                3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  LSTM_PL_STD_mean  \\\n",
       "agg_test_loss                               0.616397          0.854500   \n",
       "agg_test_loss_p                             0.616397          0.854500   \n",
       "agg_test_loss_kl                                 NaN               NaN   \n",
       "agg_test_loss_mse                           0.059609          0.067944   \n",
       "agg_test_loss_p_weighted                    0.116793          0.150794   \n",
       "agg_test_score                              0.616397          0.854500   \n",
       "n                                           3.000000          2.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               1.026797             1.022596   \n",
       "agg_test_loss_p                             0.965398             1.022002   \n",
       "agg_test_loss_kl                            0.061399             0.000594   \n",
       "agg_test_loss_mse                           0.053994             0.166312   \n",
       "agg_test_loss_p_weighted                    0.185951             0.183035   \n",
       "agg_test_score                              0.965398             1.022002   \n",
       "n                                           3.000000             3.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  PL_Transformer_mean  \\\n",
       "agg_test_loss             1.119962         1.157510             1.539625   \n",
       "agg_test_loss_p           1.093251         1.142826             1.539625   \n",
       "agg_test_loss_kl          0.026712         0.014684                  NaN   \n",
       "agg_test_loss_mse         0.057514         0.045285             0.070719   \n",
       "agg_test_loss_p_weighted  0.200654         0.214536             0.293302   \n",
       "agg_test_score            1.093251         1.142826             1.539625   \n",
       "n                         3.000000         3.000000             3.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_attn_mean  LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                             2.024737             2.612948  \n",
       "agg_test_loss_p                           2.024737             2.612948  \n",
       "agg_test_loss_kl                               NaN                  NaN  \n",
       "agg_test_loss_mse                         0.050012             0.054685  \n",
       "agg_test_loss_p_weighted                  0.380252             0.468119  \n",
       "agg_test_score                            2.024737             2.612948  \n",
       "n                                         3.000000             3.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 {'name': 'LSTM_PL_STD', 'PL_MODEL_CLS': <class 'neural_processes.models.lstm_std.LSTM_PL_STD'>}\n",
      "INFO:predict_heading2:now run `tensorboard --logdir lightning_logs`\n",
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:predict_heading2:trial number=-1200 name=LSTM_PL_STD, trial=<optuna.trial.FixedTrial object at 0x7f8d71205550> params={'learning_rate': 0.001, 'lstm_dropout': 0.39, 'hidden_size_power': 5, 'lstm_layers': 4, 'bidirectional': False} attrs={'batch_size': 24, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 3, 'vis_i': '670', 'x_dim': 17, 'y_dim': 1, 'context_in_target': False, 'patience': 2, 'min_std': 0.005, 'nan_value': -99.9, 'num_context': 336, 'num_extra_target': 96, 'max_epoch_steps': 19200}\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/LSTM_PL_STD/version_-1200/_ckpt_epoch_5.ckpt\n"
     ]
    },
    {
     "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": 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\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1fd6bed7272345c0b05f5f6c79ae05e5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=60.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 0, {'agg_test_loss': 2.7945756912231445, 'log': {'agg_test_loss': 2.7945756912231445, 'agg_test_loss_p_weighted': 0.5217891335487366, 'agg_test_loss_p': 2.7945756912231445, 'agg_test_loss_mse': 0.05672752484679222, 'agg_test_score': 2.7945756912231445}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "        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>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
       "      <th>np_mean</th>\n",
       "      <th>anp-rnn_pt_mean</th>\n",
       "      <th>LSTM_PL_STD_mean</th>\n",
       "      <th>PL_Transformer_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.384540</td>\n",
       "      <td>0.394125</td>\n",
       "      <td>0.557549</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>1.026797</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>1.119962</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.501192</td>\n",
       "      <td>1.539625</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.548468</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.093251</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.501192</td>\n",
       "      <td>1.539625</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.039882</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>0.009081</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.026712</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.051930</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.046734</td>\n",
       "      <td>0.047913</td>\n",
       "      <td>0.059609</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.057514</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.064205</td>\n",
       "      <td>0.070719</td>\n",
       "      <td>0.050012</td>\n",
       "      <td>0.054685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.063805</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.104916</td>\n",
       "      <td>0.114480</td>\n",
       "      <td>0.116793</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.200654</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.274459</td>\n",
       "      <td>0.293302</td>\n",
       "      <td>0.380252</td>\n",
       "      <td>0.468119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.548468</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.093251</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.501192</td>\n",
       "      <td>1.539625</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853             0.384540   \n",
       "agg_test_loss_p                 0.136680      0.308816             0.344658   \n",
       "agg_test_loss_kl                0.000092      0.009037             0.039882   \n",
       "agg_test_loss_mse               0.053102      0.044686             0.051930   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492             0.063805   \n",
       "agg_test_score                  0.136680      0.308816             0.344658   \n",
       "n                               3.000000      3.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                   0.394125    0.557549   \n",
       "agg_test_loss_p                 0.387186    0.548468   \n",
       "agg_test_loss_kl                0.006939    0.009081   \n",
       "agg_test_loss_mse               0.045177    0.046734   \n",
       "agg_test_loss_p_weighted        0.069565    0.104916   \n",
       "agg_test_score                  0.387186    0.548468   \n",
       "n                               3.000000    3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                                    0.604279   \n",
       "agg_test_loss_p                                  0.604279   \n",
       "agg_test_loss_kl                                      NaN   \n",
       "agg_test_loss_mse                                0.047913   \n",
       "agg_test_loss_p_weighted                         0.114480   \n",
       "agg_test_score                                   0.604279   \n",
       "n                                                3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                               0.616397   \n",
       "agg_test_loss_p                             0.616397   \n",
       "agg_test_loss_kl                                 NaN   \n",
       "agg_test_loss_mse                           0.059609   \n",
       "agg_test_loss_p_weighted                    0.116793   \n",
       "agg_test_score                              0.616397   \n",
       "n                                           3.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               1.026797             1.022596   \n",
       "agg_test_loss_p                             0.965398             1.022002   \n",
       "agg_test_loss_kl                            0.061399             0.000594   \n",
       "agg_test_loss_mse                           0.053994             0.166312   \n",
       "agg_test_loss_p_weighted                    0.185951             0.183035   \n",
       "agg_test_score                              0.965398             1.022002   \n",
       "n                                           3.000000             3.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  LSTM_PL_STD_mean  \\\n",
       "agg_test_loss             1.119962         1.157510          1.501192   \n",
       "agg_test_loss_p           1.093251         1.142826          1.501192   \n",
       "agg_test_loss_kl          0.026712         0.014684               NaN   \n",
       "agg_test_loss_mse         0.057514         0.045285          0.064205   \n",
       "agg_test_loss_p_weighted  0.200654         0.214536          0.274459   \n",
       "agg_test_score            1.093251         1.142826          1.501192   \n",
       "n                         3.000000         3.000000          3.000000   \n",
       "\n",
       "                          PL_Transformer_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.539625                  2.024737   \n",
       "agg_test_loss_p                      1.539625                  2.024737   \n",
       "agg_test_loss_kl                          NaN                       NaN   \n",
       "agg_test_loss_mse                    0.070719                  0.050012   \n",
       "agg_test_loss_p_weighted             0.293302                  0.380252   \n",
       "agg_test_score                       1.539625                  2.024737   \n",
       "n                                    3.000000                  3.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        2.612948  \n",
       "agg_test_loss_p                      2.612948  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.054685  \n",
       "agg_test_loss_p_weighted             0.468119  \n",
       "agg_test_score                       2.612948  \n",
       "n                                    3.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(N):\n",
    "    for exp in experiments:\n",
    "        print(i, exp)\n",
    "        trial, trainer, model = run_trial(\n",
    "            user_attrs = default_user_attrs,\n",
    "            number=number*i*100-1000,\n",
    "            **exp)\n",
    "\n",
    "        name = trainer.logger.name\n",
    "        r=trainer.logger.metrics[-1]\n",
    "        if 'agg_test_score' in r:\n",
    "            results[name].append(r)\n",
    "\n",
    "            display(summarize_results(results))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-27T07:14:30.020600Z",
     "start_time": "2020-04-27T07:07:02.236955Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:57:55.166647Z",
     "start_time": "2020-07-05T02:57:55.016558Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>anp-rnn_c_mean</th>\n",
       "      <th>anp-rnn_mean</th>\n",
       "      <th>anp-rnn_no_det_mean</th>\n",
       "      <th>anp-rnn_d_mean</th>\n",
       "      <th>anp_c_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm_mean</th>\n",
       "      <th>TransformerSeq2Seq_PL_mean</th>\n",
       "      <th>anp-rnn_extras_no_det_mean</th>\n",
       "      <th>anp-rnn_extras_mean</th>\n",
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       "      <th>LSTM_PL_STD_mean</th>\n",
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       "      <th>LSTMSeq2Seq_PL_attn_mean</th>\n",
       "      <th>LSTMSeq2Seq_PL_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg_test_loss</th>\n",
       "      <td>0.136772</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.384540</td>\n",
       "      <td>0.394125</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.548468</td>\n",
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       "      <td>0.616397</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.093251</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.501192</td>\n",
       "      <td>1.539625</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_kl</th>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.039882</td>\n",
       "      <td>0.006939</td>\n",
       "      <td>0.009081</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.026712</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_mse</th>\n",
       "      <td>0.053102</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.051930</td>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.046734</td>\n",
       "      <td>0.047913</td>\n",
       "      <td>0.059609</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.057514</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.064205</td>\n",
       "      <td>0.070719</td>\n",
       "      <td>0.050012</td>\n",
       "      <td>0.054685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_loss_p_weighted</th>\n",
       "      <td>0.025883</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.063805</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.104916</td>\n",
       "      <td>0.114480</td>\n",
       "      <td>0.116793</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.200654</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.274459</td>\n",
       "      <td>0.293302</td>\n",
       "      <td>0.380252</td>\n",
       "      <td>0.468119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agg_test_score</th>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>0.387186</td>\n",
       "      <td>0.548468</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>1.093251</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.501192</td>\n",
       "      <td>1.539625</td>\n",
       "      <td>2.024737</td>\n",
       "      <td>2.612948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          anp-rnn_c_mean  anp-rnn_mean  anp-rnn_no_det_mean  \\\n",
       "agg_test_loss                   0.136772      0.317853             0.384540   \n",
       "agg_test_loss_p                 0.136680      0.308816             0.344658   \n",
       "agg_test_loss_kl                0.000092      0.009037             0.039882   \n",
       "agg_test_loss_mse               0.053102      0.044686             0.051930   \n",
       "agg_test_loss_p_weighted        0.025883      0.060492             0.063805   \n",
       "agg_test_score                  0.136680      0.308816             0.344658   \n",
       "n                               3.000000      3.000000             3.000000   \n",
       "\n",
       "                          anp-rnn_d_mean  anp_c_mean  \\\n",
       "agg_test_loss                   0.394125    0.557549   \n",
       "agg_test_loss_p                 0.387186    0.548468   \n",
       "agg_test_loss_kl                0.006939    0.009081   \n",
       "agg_test_loss_mse               0.045177    0.046734   \n",
       "agg_test_loss_p_weighted        0.069565    0.104916   \n",
       "agg_test_score                  0.387186    0.548468   \n",
       "n                               3.000000    3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_lstm_mean  \\\n",
       "agg_test_loss                                    0.604279   \n",
       "agg_test_loss_p                                  0.604279   \n",
       "agg_test_loss_kl                                      NaN   \n",
       "agg_test_loss_mse                                0.047913   \n",
       "agg_test_loss_p_weighted                         0.114480   \n",
       "agg_test_score                                   0.604279   \n",
       "n                                                3.000000   \n",
       "\n",
       "                          TransformerSeq2Seq_PL_mean  \\\n",
       "agg_test_loss                               0.616397   \n",
       "agg_test_loss_p                             0.616397   \n",
       "agg_test_loss_kl                                 NaN   \n",
       "agg_test_loss_mse                           0.059609   \n",
       "agg_test_loss_p_weighted                    0.116793   \n",
       "agg_test_score                              0.616397   \n",
       "n                                           3.000000   \n",
       "\n",
       "                          anp-rnn_extras_no_det_mean  anp-rnn_extras_mean  \\\n",
       "agg_test_loss                               1.026797             1.022596   \n",
       "agg_test_loss_p                             0.965398             1.022002   \n",
       "agg_test_loss_kl                            0.061399             0.000594   \n",
       "agg_test_loss_mse                           0.053994             0.166312   \n",
       "agg_test_loss_p_weighted                    0.185951             0.183035   \n",
       "agg_test_score                              0.965398             1.022002   \n",
       "n                                           3.000000             3.000000   \n",
       "\n",
       "                           np_mean  anp-rnn_pt_mean  LSTM_PL_STD_mean  \\\n",
       "agg_test_loss             1.119962         1.157510          1.501192   \n",
       "agg_test_loss_p           1.093251         1.142826          1.501192   \n",
       "agg_test_loss_kl          0.026712         0.014684               NaN   \n",
       "agg_test_loss_mse         0.057514         0.045285          0.064205   \n",
       "agg_test_loss_p_weighted  0.200654         0.214536          0.274459   \n",
       "agg_test_score            1.093251         1.142826          1.501192   \n",
       "n                         3.000000         3.000000          3.000000   \n",
       "\n",
       "                          PL_Transformer_mean  LSTMSeq2Seq_PL_attn_mean  \\\n",
       "agg_test_loss                        1.539625                  2.024737   \n",
       "agg_test_loss_p                      1.539625                  2.024737   \n",
       "agg_test_loss_kl                          NaN                       NaN   \n",
       "agg_test_loss_mse                    0.070719                  0.050012   \n",
       "agg_test_loss_p_weighted             0.293302                  0.380252   \n",
       "agg_test_score                       1.539625                  2.024737   \n",
       "n                                    3.000000                  3.000000   \n",
       "\n",
       "                          LSTMSeq2Seq_PL_mean  \n",
       "agg_test_loss                        2.612948  \n",
       "agg_test_loss_p                      2.612948  \n",
       "agg_test_loss_kl                          NaN  \n",
       "agg_test_loss_mse                    0.054685  \n",
       "agg_test_loss_p_weighted             0.468119  \n",
       "agg_test_score                       2.612948  \n",
       "n                                    3.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(summarize_results(results))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:57:55.391533Z",
     "start_time": "2020-07-05T02:57:55.168622Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>anp-rnn_d</th>\n",
       "      <th>anp-rnn_pt</th>\n",
       "      <th>np</th>\n",
       "      <th>anp-rnn</th>\n",
       "      <th>anp_c</th>\n",
       "      <th>anp-rnn_extras_no_det</th>\n",
       "      <th>anp-rnn_no_det</th>\n",
       "      <th>anp-rnn_c</th>\n",
       "      <th>anp-rnn_extras</th>\n",
       "      <th>LSTMSeq2Seq_PL</th>\n",
       "      <th>PL_Transformer</th>\n",
       "      <th>TransformerSeq2Seq_PL</th>\n",
       "      <th>TransformerSeq2Seq_PL_lstm</th>\n",
       "      <th>LSTM_PL_STD</th>\n",
       "      <th>LSTMSeq2Seq_PL_attn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mean_agg_test_loss</th>\n",
       "      <td>0.394125</td>\n",
       "      <td>1.157510</td>\n",
       "      <td>1.119962</td>\n",
       "      <td>0.317853</td>\n",
       "      <td>0.557549</td>\n",
       "      <td>1.026797</td>\n",
       "      <td>0.384540</td>\n",
       "      <td>1.367723e-01</td>\n",
       "      <td>1.022596</td>\n",
       "      <td>2.612948</td>\n",
       "      <td>1.539625</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>1.501192</td>\n",
       "      <td>2.024737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean_agg_test_loss_p</th>\n",
       "      <td>0.387186</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.093251</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.548468</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>1.366804e-01</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>2.612948</td>\n",
       "      <td>1.539625</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>1.501192</td>\n",
       "      <td>2.024737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean_agg_test_loss_kl</th>\n",
       "      <td>0.006939</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.026712</td>\n",
       "      <td>0.009037</td>\n",
       "      <td>0.009081</td>\n",
       "      <td>0.061399</td>\n",
       "      <td>0.039882</td>\n",
       "      <td>9.193924e-05</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean_agg_test_loss_mse</th>\n",
       "      <td>0.045177</td>\n",
       "      <td>0.045285</td>\n",
       "      <td>0.057514</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.046734</td>\n",
       "      <td>0.053994</td>\n",
       "      <td>0.051930</td>\n",
       "      <td>5.310189e-02</td>\n",
       "      <td>0.166312</td>\n",
       "      <td>0.054685</td>\n",
       "      <td>0.070719</td>\n",
       "      <td>0.059609</td>\n",
       "      <td>0.047913</td>\n",
       "      <td>0.064205</td>\n",
       "      <td>0.050012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean_agg_test_loss_p_weighted</th>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.214536</td>\n",
       "      <td>0.200654</td>\n",
       "      <td>0.060492</td>\n",
       "      <td>0.104916</td>\n",
       "      <td>0.185951</td>\n",
       "      <td>0.063805</td>\n",
       "      <td>2.588282e-02</td>\n",
       "      <td>0.183035</td>\n",
       "      <td>0.468119</td>\n",
       "      <td>0.293302</td>\n",
       "      <td>0.116793</td>\n",
       "      <td>0.114480</td>\n",
       "      <td>0.274459</td>\n",
       "      <td>0.380252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean_agg_test_score</th>\n",
       "      <td>0.387186</td>\n",
       "      <td>1.142826</td>\n",
       "      <td>1.093251</td>\n",
       "      <td>0.308816</td>\n",
       "      <td>0.548468</td>\n",
       "      <td>0.965398</td>\n",
       "      <td>0.344658</td>\n",
       "      <td>1.366804e-01</td>\n",
       "      <td>1.022002</td>\n",
       "      <td>2.612948</td>\n",
       "      <td>1.539625</td>\n",
       "      <td>0.616397</td>\n",
       "      <td>0.604279</td>\n",
       "      <td>1.501192</td>\n",
       "      <td>2.024737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std_agg_test_loss</th>\n",
       "      <td>0.878401</td>\n",
       "      <td>1.519177</td>\n",
       "      <td>1.437127</td>\n",
       "      <td>0.522705</td>\n",
       "      <td>0.792761</td>\n",
       "      <td>1.387746</td>\n",
       "      <td>0.283161</td>\n",
       "      <td>1.653911e-01</td>\n",
       "      <td>1.346382</td>\n",
       "      <td>2.236841</td>\n",
       "      <td>0.992128</td>\n",
       "      <td>0.025354</td>\n",
       "      <td>0.003066</td>\n",
       "      <td>1.135820</td>\n",
       "      <td>0.401967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std_agg_test_loss_p</th>\n",
       "      <td>0.877643</td>\n",
       "      <td>1.516836</td>\n",
       "      <td>1.443667</td>\n",
       "      <td>0.523407</td>\n",
       "      <td>0.793772</td>\n",
       "      <td>1.341249</td>\n",
       "      <td>0.284554</td>\n",
       "      <td>1.654854e-01</td>\n",
       "      <td>1.346799</td>\n",
       "      <td>2.236841</td>\n",
       "      <td>0.992128</td>\n",
       "      <td>0.025354</td>\n",
       "      <td>0.003066</td>\n",
       "      <td>1.135820</td>\n",
       "      <td>0.401967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std_agg_test_loss_kl</th>\n",
       "      <td>0.000762</td>\n",
       "      <td>0.007138</td>\n",
       "      <td>0.009428</td>\n",
       "      <td>0.003586</td>\n",
       "      <td>0.002901</td>\n",
       "      <td>0.046567</td>\n",
       "      <td>0.015584</td>\n",
       "      <td>1.519699e-04</td>\n",
       "      <td>0.000827</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std_agg_test_loss_mse</th>\n",
       "      <td>0.004977</td>\n",
       "      <td>0.004380</td>\n",
       "      <td>0.014817</td>\n",
       "      <td>0.006400</td>\n",
       "      <td>0.003336</td>\n",
       "      <td>0.003764</td>\n",
       "      <td>0.003725</td>\n",
       "      <td>2.467975e-03</td>\n",
       "      <td>0.198156</td>\n",
       "      <td>0.011367</td>\n",
       "      <td>0.014729</td>\n",
       "      <td>0.024470</td>\n",
       "      <td>0.002959</td>\n",
       "      <td>0.006823</td>\n",
       "      <td>0.002826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std_agg_test_loss_p_weighted</th>\n",
       "      <td>0.162863</td>\n",
       "      <td>0.292745</td>\n",
       "      <td>0.260571</td>\n",
       "      <td>0.100775</td>\n",
       "      <td>0.151634</td>\n",
       "      <td>0.247277</td>\n",
       "      <td>0.055251</td>\n",
       "      <td>3.120351e-02</td>\n",
       "      <td>0.238329</td>\n",
       "      <td>0.388514</td>\n",
       "      <td>0.190888</td>\n",
       "      <td>0.004821</td>\n",
       "      <td>0.000575</td>\n",
       "      <td>0.217997</td>\n",
       "      <td>0.091686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std_agg_test_score</th>\n",
       "      <td>0.877643</td>\n",
       "      <td>1.516836</td>\n",
       "      <td>1.443667</td>\n",
       "      <td>0.523407</td>\n",
       "      <td>0.793772</td>\n",
       "      <td>1.341249</td>\n",
       "      <td>0.284554</td>\n",
       "      <td>1.654854e-01</td>\n",
       "      <td>1.346799</td>\n",
       "      <td>2.236841</td>\n",
       "      <td>0.992128</td>\n",
       "      <td>0.025354</td>\n",
       "      <td>0.003066</td>\n",
       "      <td>1.135820</td>\n",
       "      <td>0.401967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min_agg_test_loss</th>\n",
       "      <td>-0.173291</td>\n",
       "      <td>-0.154892</td>\n",
       "      <td>-0.064523</td>\n",
       "      <td>-0.085768</td>\n",
       "      <td>-0.042438</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>0.060436</td>\n",
       "      <td>2.246629e-02</td>\n",
       "      <td>0.052776</td>\n",
       "      <td>0.262901</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.601751</td>\n",
       "      <td>0.666203</td>\n",
       "      <td>1.629111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min_agg_test_loss_p</th>\n",
       "      <td>-0.179809</td>\n",
       "      <td>-0.162378</td>\n",
       "      <td>-0.102117</td>\n",
       "      <td>-0.098359</td>\n",
       "      <td>-0.049908</td>\n",
       "      <td>-0.016609</td>\n",
       "      <td>0.017075</td>\n",
       "      <td>2.219893e-02</td>\n",
       "      <td>0.051237</td>\n",
       "      <td>0.262901</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.601751</td>\n",
       "      <td>0.666203</td>\n",
       "      <td>1.629111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min_agg_test_loss_kl</th>\n",
       "      <td>0.006480</td>\n",
       "      <td>0.007486</td>\n",
       "      <td>0.020982</td>\n",
       "      <td>0.005420</td>\n",
       "      <td>0.007343</td>\n",
       "      <td>0.025026</td>\n",
       "      <td>0.022852</td>\n",
       "      <td>1.415805e-07</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min_agg_test_loss_mse</th>\n",
       "      <td>0.041679</td>\n",
       "      <td>0.041235</td>\n",
       "      <td>0.043198</td>\n",
       "      <td>0.040310</td>\n",
       "      <td>0.044065</td>\n",
       "      <td>0.050700</td>\n",
       "      <td>0.049000</td>\n",
       "      <td>5.060551e-02</td>\n",
       "      <td>0.051622</td>\n",
       "      <td>0.045788</td>\n",
       "      <td>0.053723</td>\n",
       "      <td>0.044556</td>\n",
       "      <td>0.045473</td>\n",
       "      <td>0.056728</td>\n",
       "      <td>0.046749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min_agg_test_loss_p_weighted</th>\n",
       "      <td>-0.036278</td>\n",
       "      <td>-0.028847</td>\n",
       "      <td>-0.018044</td>\n",
       "      <td>-0.023358</td>\n",
       "      <td>-0.006404</td>\n",
       "      <td>0.006162</td>\n",
       "      <td>0.000159</td>\n",
       "      <td>4.420904e-03</td>\n",
       "      <td>0.009428</td>\n",
       "      <td>0.046404</td>\n",
       "      <td>0.103580</td>\n",
       "      <td>0.113829</td>\n",
       "      <td>0.114017</td>\n",
       "      <td>0.110252</td>\n",
       "      <td>0.275075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min_agg_test_score</th>\n",
       "      <td>-0.179809</td>\n",
       "      <td>-0.162378</td>\n",
       "      <td>-0.102117</td>\n",
       "      <td>-0.098359</td>\n",
       "      <td>-0.049908</td>\n",
       "      <td>-0.016609</td>\n",
       "      <td>0.017075</td>\n",
       "      <td>2.219893e-02</td>\n",
       "      <td>0.051237</td>\n",
       "      <td>0.262901</td>\n",
       "      <td>0.554576</td>\n",
       "      <td>0.600801</td>\n",
       "      <td>0.601751</td>\n",
       "      <td>0.666203</td>\n",
       "      <td>1.629111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               anp-rnn_d  anp-rnn_pt        np   anp-rnn  \\\n",
       "mean_agg_test_loss              0.394125    1.157510  1.119962  0.317853   \n",
       "mean_agg_test_loss_p            0.387186    1.142826  1.093251  0.308816   \n",
       "mean_agg_test_loss_kl           0.006939    0.014684  0.026712  0.009037   \n",
       "mean_agg_test_loss_mse          0.045177    0.045285  0.057514  0.044686   \n",
       "mean_agg_test_loss_p_weighted   0.069565    0.214536  0.200654  0.060492   \n",
       "mean_agg_test_score             0.387186    1.142826  1.093251  0.308816   \n",
       "std_agg_test_loss               0.878401    1.519177  1.437127  0.522705   \n",
       "std_agg_test_loss_p             0.877643    1.516836  1.443667  0.523407   \n",
       "std_agg_test_loss_kl            0.000762    0.007138  0.009428  0.003586   \n",
       "std_agg_test_loss_mse           0.004977    0.004380  0.014817  0.006400   \n",
       "std_agg_test_loss_p_weighted    0.162863    0.292745  0.260571  0.100775   \n",
       "std_agg_test_score              0.877643    1.516836  1.443667  0.523407   \n",
       "min_agg_test_loss              -0.173291   -0.154892 -0.064523 -0.085768   \n",
       "min_agg_test_loss_p            -0.179809   -0.162378 -0.102117 -0.098359   \n",
       "min_agg_test_loss_kl            0.006480    0.007486  0.020982  0.005420   \n",
       "min_agg_test_loss_mse           0.041679    0.041235  0.043198  0.040310   \n",
       "min_agg_test_loss_p_weighted   -0.036278   -0.028847 -0.018044 -0.023358   \n",
       "min_agg_test_score             -0.179809   -0.162378 -0.102117 -0.098359   \n",
       "n                               3.000000    3.000000  3.000000  3.000000   \n",
       "\n",
       "                                  anp_c  anp-rnn_extras_no_det  \\\n",
       "mean_agg_test_loss             0.557549               1.026797   \n",
       "mean_agg_test_loss_p           0.548468               0.965398   \n",
       "mean_agg_test_loss_kl          0.009081               0.061399   \n",
       "mean_agg_test_loss_mse         0.046734               0.053994   \n",
       "mean_agg_test_loss_p_weighted  0.104916               0.185951   \n",
       "mean_agg_test_score            0.548468               0.965398   \n",
       "std_agg_test_loss              0.792761               1.387746   \n",
       "std_agg_test_loss_p            0.793772               1.341249   \n",
       "std_agg_test_loss_kl           0.002901               0.046567   \n",
       "std_agg_test_loss_mse          0.003336               0.003764   \n",
       "std_agg_test_loss_p_weighted   0.151634               0.247277   \n",
       "std_agg_test_score             0.793772               1.341249   \n",
       "min_agg_test_loss             -0.042438               0.008417   \n",
       "min_agg_test_loss_p           -0.049908              -0.016609   \n",
       "min_agg_test_loss_kl           0.007343               0.025026   \n",
       "min_agg_test_loss_mse          0.044065               0.050700   \n",
       "min_agg_test_loss_p_weighted  -0.006404               0.006162   \n",
       "min_agg_test_score            -0.049908              -0.016609   \n",
       "n                              3.000000               3.000000   \n",
       "\n",
       "                               anp-rnn_no_det     anp-rnn_c  anp-rnn_extras  \\\n",
       "mean_agg_test_loss                   0.384540  1.367723e-01        1.022596   \n",
       "mean_agg_test_loss_p                 0.344658  1.366804e-01        1.022002   \n",
       "mean_agg_test_loss_kl                0.039882  9.193924e-05        0.000594   \n",
       "mean_agg_test_loss_mse               0.051930  5.310189e-02        0.166312   \n",
       "mean_agg_test_loss_p_weighted        0.063805  2.588282e-02        0.183035   \n",
       "mean_agg_test_score                  0.344658  1.366804e-01        1.022002   \n",
       "std_agg_test_loss                    0.283161  1.653911e-01        1.346382   \n",
       "std_agg_test_loss_p                  0.284554  1.654854e-01        1.346799   \n",
       "std_agg_test_loss_kl                 0.015584  1.519699e-04        0.000827   \n",
       "std_agg_test_loss_mse                0.003725  2.467975e-03        0.198156   \n",
       "std_agg_test_loss_p_weighted         0.055251  3.120351e-02        0.238329   \n",
       "std_agg_test_score                   0.284554  1.654854e-01        1.346799   \n",
       "min_agg_test_loss                    0.060436  2.246629e-02        0.052776   \n",
       "min_agg_test_loss_p                  0.017075  2.219893e-02        0.051237   \n",
       "min_agg_test_loss_kl                 0.022852  1.415805e-07        0.000001   \n",
       "min_agg_test_loss_mse                0.049000  5.060551e-02        0.051622   \n",
       "min_agg_test_loss_p_weighted         0.000159  4.420904e-03        0.009428   \n",
       "min_agg_test_score                   0.017075  2.219893e-02        0.051237   \n",
       "n                                    3.000000  3.000000e+00        3.000000   \n",
       "\n",
       "                               LSTMSeq2Seq_PL  PL_Transformer  \\\n",
       "mean_agg_test_loss                   2.612948        1.539625   \n",
       "mean_agg_test_loss_p                 2.612948        1.539625   \n",
       "mean_agg_test_loss_kl                     NaN             NaN   \n",
       "mean_agg_test_loss_mse               0.054685        0.070719   \n",
       "mean_agg_test_loss_p_weighted        0.468119        0.293302   \n",
       "mean_agg_test_score                  2.612948        1.539625   \n",
       "std_agg_test_loss                    2.236841        0.992128   \n",
       "std_agg_test_loss_p                  2.236841        0.992128   \n",
       "std_agg_test_loss_kl                      NaN             NaN   \n",
       "std_agg_test_loss_mse                0.011367        0.014729   \n",
       "std_agg_test_loss_p_weighted         0.388514        0.190888   \n",
       "std_agg_test_score                   2.236841        0.992128   \n",
       "min_agg_test_loss                    0.262901        0.554576   \n",
       "min_agg_test_loss_p                  0.262901        0.554576   \n",
       "min_agg_test_loss_kl                      NaN             NaN   \n",
       "min_agg_test_loss_mse                0.045788        0.053723   \n",
       "min_agg_test_loss_p_weighted         0.046404        0.103580   \n",
       "min_agg_test_score                   0.262901        0.554576   \n",
       "n                                    3.000000        3.000000   \n",
       "\n",
       "                               TransformerSeq2Seq_PL  \\\n",
       "mean_agg_test_loss                          0.616397   \n",
       "mean_agg_test_loss_p                        0.616397   \n",
       "mean_agg_test_loss_kl                            NaN   \n",
       "mean_agg_test_loss_mse                      0.059609   \n",
       "mean_agg_test_loss_p_weighted               0.116793   \n",
       "mean_agg_test_score                         0.616397   \n",
       "std_agg_test_loss                           0.025354   \n",
       "std_agg_test_loss_p                         0.025354   \n",
       "std_agg_test_loss_kl                             NaN   \n",
       "std_agg_test_loss_mse                       0.024470   \n",
       "std_agg_test_loss_p_weighted                0.004821   \n",
       "std_agg_test_score                          0.025354   \n",
       "min_agg_test_loss                           0.600801   \n",
       "min_agg_test_loss_p                         0.600801   \n",
       "min_agg_test_loss_kl                             NaN   \n",
       "min_agg_test_loss_mse                       0.044556   \n",
       "min_agg_test_loss_p_weighted                0.113829   \n",
       "min_agg_test_score                          0.600801   \n",
       "n                                           3.000000   \n",
       "\n",
       "                               TransformerSeq2Seq_PL_lstm  LSTM_PL_STD  \\\n",
       "mean_agg_test_loss                               0.604279     1.501192   \n",
       "mean_agg_test_loss_p                             0.604279     1.501192   \n",
       "mean_agg_test_loss_kl                                 NaN          NaN   \n",
       "mean_agg_test_loss_mse                           0.047913     0.064205   \n",
       "mean_agg_test_loss_p_weighted                    0.114480     0.274459   \n",
       "mean_agg_test_score                              0.604279     1.501192   \n",
       "std_agg_test_loss                                0.003066     1.135820   \n",
       "std_agg_test_loss_p                              0.003066     1.135820   \n",
       "std_agg_test_loss_kl                                  NaN          NaN   \n",
       "std_agg_test_loss_mse                            0.002959     0.006823   \n",
       "std_agg_test_loss_p_weighted                     0.000575     0.217997   \n",
       "std_agg_test_score                               0.003066     1.135820   \n",
       "min_agg_test_loss                                0.601751     0.666203   \n",
       "min_agg_test_loss_p                              0.601751     0.666203   \n",
       "min_agg_test_loss_kl                                  NaN          NaN   \n",
       "min_agg_test_loss_mse                            0.045473     0.056728   \n",
       "min_agg_test_loss_p_weighted                     0.114017     0.110252   \n",
       "min_agg_test_score                               0.601751     0.666203   \n",
       "n                                                3.000000     3.000000   \n",
       "\n",
       "                               LSTMSeq2Seq_PL_attn  \n",
       "mean_agg_test_loss                        2.024737  \n",
       "mean_agg_test_loss_p                      2.024737  \n",
       "mean_agg_test_loss_kl                          NaN  \n",
       "mean_agg_test_loss_mse                    0.050012  \n",
       "mean_agg_test_loss_p_weighted             0.380252  \n",
       "mean_agg_test_score                       2.024737  \n",
       "std_agg_test_loss                         0.401967  \n",
       "std_agg_test_loss_p                       0.401967  \n",
       "std_agg_test_loss_kl                           NaN  \n",
       "std_agg_test_loss_mse                     0.002826  \n",
       "std_agg_test_loss_p_weighted              0.091686  \n",
       "std_agg_test_score                        0.401967  \n",
       "min_agg_test_loss                         1.629111  \n",
       "min_agg_test_loss_p                       1.629111  \n",
       "min_agg_test_loss_kl                           NaN  \n",
       "min_agg_test_loss_mse                     0.046749  \n",
       "min_agg_test_loss_p_weighted              0.275075  \n",
       "min_agg_test_score                        1.629111  \n",
       "n                                         3.000000  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_dfs = []\n",
    "for k in results:\n",
    "    v = results[k]\n",
    "    df = pd.DataFrame(v).mean()\n",
    "    df = pd.concat([pd.DataFrame(v).mean().rename(lambda x:'mean_' + x),\n",
    "    pd.DataFrame(v).std().rename(lambda x:'std_' + x),\n",
    "    pd.DataFrame(v).min().rename(lambda x:'min_' + x)])\n",
    "\n",
    "    df.name = k\n",
    "    df['n'] = len(v)\n",
    "    result_dfs.append(df)\n",
    "\n",
    "#         df = pd.DataFrame(v).std()\n",
    "#         df.name = k+'_std'\n",
    "#         df['n'] = len(v)\n",
    "#         result_dfs.append(df)\n",
    "\n",
    "\n",
    "result_df = pd.concat(result_dfs, 1).T\n",
    "result_df.sort_values('min_agg_test_score').T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-26T04:49:59.013927Z",
     "start_time": "2020-04-26T04:49:58.949675Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-26T04:47:58.718550Z",
     "start_time": "2020-04-26T04:47:58.643300Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Manual exp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:57:55.462220Z",
     "start_time": "2020-07-05T02:57:55.394924Z"
    }
   },
   "outputs": [],
   "source": [
    "number=None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-27T15:25:08.045015Z",
     "start_time": "2020-04-27T15:25:07.115517Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-27T04:27:28.582523Z",
     "start_time": "2020-01-27T04:27:28.445326Z"
    }
   },
   "source": [
    "# Hyperparam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:57:55.537702Z",
     "start_time": "2020-07-05T02:57:55.465676Z"
    }
   },
   "outputs": [],
   "source": [
    "from neural_processes.train import objective\n",
    "import argparse "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T02:57:55.594270Z",
     "start_time": "2020-07-05T02:57:55.540496Z"
    }
   },
   "outputs": [],
   "source": [
    "optuna_path = Path('./optuna_result2')\n",
    "optuna_path.mkdir(exist_ok=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T03:30:29.107368Z",
     "start_time": "2020-07-05T02:57:55.596590Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[I 2020-07-05 10:57:56,859] A new study created with name: TransformerSeq2Seq_PL\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:root:\n",
      "  | Name   | Type                  | Params\n",
      "---------------------------------------------\n",
      "0 | _model | TransformerSeq2SeqNet | 1 M   \n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validation sanity check', layout=Layout(flex='2'), max=5.…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=0, val={'agg_val_loss': 0.87, 'log': {'agg_val_loss': 0.87, 'agg_val_loss_p': 0.87, 'agg_val_loss_mse': 0.25, 'agg_val_loss_p_weighted': 0.16}} tain={}\n",
      "\r"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8a06e640b352485c80e1d41c9de9aadb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(flex='2'), max=1.0), HTML(value='')), …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=799, val={'agg_val_loss': 0.64, 'log': {'agg_val_loss': 0.64, 'agg_val_loss_p': 0.64, 'agg_val_loss_mse': 0.086, 'agg_val_loss_p_weighted': 0.12}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=1599, val={'agg_val_loss': 0.62, 'log': {'agg_val_loss': 0.62, 'agg_val_loss_p': 0.62, 'agg_val_loss_mse': 0.06, 'agg_val_loss_p_weighted': 0.12}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=2399, val={'agg_val_loss': 0.61, 'log': {'agg_val_loss': 0.61, 'agg_val_loss_p': 0.61, 'agg_val_loss_mse': 0.056, 'agg_val_loss_p_weighted': 0.12}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=3199, val={'agg_val_loss': 0.61, 'log': {'agg_val_loss': 0.61, 'agg_val_loss_p': 0.61, 'agg_val_loss_mse': 0.054, 'agg_val_loss_p_weighted': 0.12}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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8FsqKQMGkzJgxQ60E8klLS2PGjBkmkqjsiI29TFjYcv79d4dGe506rRg+/CuDI4IUJaDwuCgrAgWTcuvWrRK1VyZ8fJ5k6NAluLr6kJGRSmJiNFZWNnh6NsDTswGnT//OJ590IjCwK337fqB3LGVVoPA4KCuCUkSxdRtO/rPS5Qj18fEpY4nKnlq16tC9+3iCgvpw4sRWJk2qz+bN09THHzxI4OLFg9y+fb7IuVFRF/ngg1aMHevOkCE2fPnlK2UpukIlQ1EEpUS+rTsiIgJJktS27sLKQFEWms9KG9WqVSMkJKSMpTItDg6uuLvXxcHBjZiYy/z3327c3Hz58MMD9O//cZH+SUl3uHbtOElJd8jOziQzM03LqAoKhqEknSsl/Pz8tL7YfH19uXnzJlDUMQryS2/16tWV3jFaEF3PCsDT05PPPvuswj6PkiSdi4w8T0LCbby8GmlE/fz00yy2bPmEvn1nalUCAOnpKURFXQAEPj5NsLS0UUxDlRxjJp1TVgQ6KOnM3RBbd1V2jBZEn/1/8+bNFVYJlJR9+1Yxb153jh79WaO9Vq06PPnk83rzB9naOlC3bmvq1m2FlZWtogQUHgvFWayFRwlp9PHx0TrLLWjrrsqO0YLoelZWVlYEBARoOaNykZOjIjU1EQ+P+gQGdqFmzToax/NzCKWk3GPnzoXY2NjTtesYE0mrUBVQVgRaeJSZe0hICNWqVdNoK2zr1uUArQqO0YKEhIRga6uZO8fCwoKZM2fi6elpIqnKhoyMBwwaZMn48b48//xbzJixl6Cg3iQmxjB5ckM+/PBpdd8HDxIIDX2XnTs/LzLOmTN72Lr1U/7991cWL36FVateL8vbUKhkKIpAC48ycw8ODmb16tU4Osq54z08PIrY/g1RFlWB4OBgPvzwQ5ydnRFC4Ovry7p166qEiSy/4HxWVjpZWenqdnNzS6Kjw4mNvaKOpHJwcKVHj3d49tlRRcY5depXfvhhBuHhf3L06E+cOvVr2dxABUalyiYtLdnUYpRLFNOQFgwx82gjODiY0NBQdu/ezcqVK+ndu3eR4wAjRowgKyuLWrVqsXDhwipjEy+Iubk5CQkJTJkyhfnz5xMVFcWuXbtwd3enRYsWphbPaCQny57kBg2eUaeIALC3r8GCBRewsbFn2bLB/P3397zxxnoGD/5C6zhNmnTDyqoaTZs+j79/C2xtleL1+rh79xbjx/vi4uLNV19VLVOsISiKQAshISGMGjWK9PSHMzZDZu4TJ05k9+7djB8/nvY63PvBwcF06dKFlJQUvLy8iphIqgpNmjShT58+mJubs3XrVg4fPszChQsZMWIEa9euNbV4RsPTsxGTJm3Bzq4G06Y1Izb2CiEhJ/D2DsTTsyEAKlUWubk5mJvr/vds0aInLVr0LCuxKzzW1nYIYYYQihFEG4oi0EL+DH3o0KHk5OQYHNKYv4ro3Lkzzs66i427u7vj7u5eegJXQF544QU2btzIvHnz1G3dunWjcePGJpTK+Dg6uvLUU/8HQGZmGtnZmVhZaZoLJ078gZycUIQQxMZeJTMzFW/vQMzMzE0hcqVAkiTmzfsPJycPU4tSLlEUgQ6Cg4Pp2LEjZmZm1KxZEwuL4h/Vt99+S3x8fLEv+dDQUMaPH89rr73G8uXLS0vkCkejRo2oXbs20dHRtG/fnt9//93UIpUJu3Yt4p9/fmTQoAU8+eTzWFraALB161wSEm7Tr9/HODq6AjBjRhBpaUmsWZOInZ2Teozbty+Qm5tDrVp1+PffnaSmJtKhwxClgI0OTpzYytdfj6JTpxGMGVN5V5yPiqIIdKBSqXBycsLW1hZzc8NmYjVq1EClUrFx40YsLS3VIaeFmTp1KomJidy+fbs0Ra5Q3Lt3j1GjRjFlyhSsra1NLU6ZcefOdX7++SPS05O5c+ca1tYPVwOHDm0gOjqc559/S60IPD0bkZHxgJycbI1xVqwYyvXrJ5g9+ygbNrzN/fsx+Pk1x9zcEn//5mV6TxUBa+tqeHo2wtXV19SilEsUg5kOTp48iYODA23atCnReffu3eOtt95i/vz5OvvEx8cD8PXXXz+WjBWZiRMn4u7uzo8//qhukySJ1NRUE0plfK5ePUp6ejLOzl4884xmdtHevacybNhSduyYzxdf9CUm5jKffPIX8+efwdHRTaNvrVp18PJqTLVq1Wnb9jWefXYUH37YmunTW5CQEF2Wt1QhaNduIAEBQZw9G0ZiYoypxSl3KCsCHWRnyzOw48ePc/369WI3OkmSxKhRo7CysmLkyJHUq1dPZ98lS5aQmpqq149Q2bG3t8fNzQ1HR0ckSUKlUuHg4IBKpSI7O7vS7pStWdOfjh2HU7v2E6xYMZQaNWqrTRUdOw4DYPr0lty48S99+kzXOc6ECd+rv8+PLNq/X55YZGUpeYe0ce3aMaKjw0lNTaRGDcVXUBAl15Ae2rdvz5EjRzh06JDOKKB8UlJScHR0xNLSktq1a3Pr1i18fHwICQmpkuGhhpCYmKhWhvPmzSMkJASVSkVsbKx6P0ZFw9BcQ3FxN5g4MQBXVx+WLtUMVb5w4SApKXcJDOyi4RdQeDzCww8jSbn4+7fExsbO1OKUGCXXkImYNGkSK1asoE6dOsX2tbCw4PXX5d2dxWUgvXXrFsOGDWPatGnahqoy/Prrw01Qc+fOZcmSJaSlpVVYJWAoycnxHDy4jief7MaIESvU7ffvx3L69O/Y2jrQuvXL2Nk5sXLlcMaP9yU8/JDO8TIyHpCYGKOxQU1BkyVLBrBihVztrSIqAWOjKAI99O3bl7Fjx+LhUfwy0tbWlr1796pNSvkUTk2RmZnJTz/9xPr169m+fXupy1xRCA0NZcyYh/lzkpKSGDduXKVPy52RkUps7BW2bPmE2NirNG/eQ33s5MkdzJvXnd9//0rdlpJyl7t3b5Gael/dJkkSb7xRmwkT/MnJUbF06QDefLM2+/d/TVZWOjk5qjK9p4rAvXu3iIu7ruwj0IHyVHTwyy+/0LlzZ5YuXWrwOYakprh79y7vvvsugF6HcmWncDpukJXmoEGDKnWdhr17VzJrVjsAnn9+vMax2rWfIDCwK9evH+ePP74lKyuDESNWsGTJDZo06arup1Jlcf9+DAkJUZibW+DgIEcYrV8/kaFDq3H69G9ld0MVhClTdjBixArOn9/PrVtnTS1OuaNYRSCEMBNCNBdC9BRCPCuEqGno4EKI7kKIS0KIq0KIInYQIYSPEOKAEOKUEOKMEKKHtnFMwc2bN/njjz9YsmQJUVFRxfa/ceMGrq6uWo8VTE1hbm7O888/z6uvvkqvXr1KTd6yorQK6xRWAgXRZVKrDFhYWOHg4ErbtgOwtLTRMPk0bNiBGTPCuHcvklWrRpCVlY6Lixdubn4a+wMsLKxYsSKGL764BMDYsd/SpcvD1ZWyIiiKvb0zN26c4OefZ3Hlyj+mFqfcodNZLISoA0wFugJXgHjABqgPpAGrgPWSJOXqON8cuAw8B9wGjgMDJEm6UKDPauCUJEkrhBCNgF2SJPnpE7isnMW3b9+mRYsWxMfHs3nzZl577TW9/ZcvX864ceOwsLBApXr4j1iZCs+UZmGd2rVrExOjP4yvYFGfioKhzuIDB75h9erX6dBhKG+8sU7j2LffjicjI4XXX1+JlZWNwdfO/1+urBFX+khMjGH16pG4uvry+uvaN2n+/fePXL16lNatX6Z+/bZlLOHjY0xnsb7w0TnACmCMVEhb5K0KBgKDgfU6zm8FXJUk6XreOd8DfYALBfpIQL5nsDpQbgKgvby8mDx5Mn/++Se1atUqtr+npyc9e/akZs2a7N+/v9iooS1btpCWlkZwcHCF+cfVl567pIrg888/12oeKkhlrtNgZWWDt3cTfH2babRLksSrr4ZgY2OPmZkZ//77K6dP/0bz5j1o1uwFvWNWlL8jY5CWdp///ttF7doN1G2xsVdZvLgfVla2eHo2wtHRjcGDF5pQyvKL0cJHhRD9gO6SJI3M+3kw0FqSpLcK9PEA9gA1ADugqyRJJ7WMNRoYDeDj49NSV5nDioAkSQghsLGxITMzk/T0dGxsDJ/1mRIzMzOtxeaFEOTmal0Y6iU0NJQZM2boLFtZmVcEISFdOXduH9Om/UbTps+r2ydPbkB09CWWLLmJm5uvumzlyy/Pol+/jwCIj4/gl1/m4O5ej9693+PAgbXs3buSjh2H0a3bOCPdWfkmPT2FixcPYmlpo/anJCbG8OabtdV9HB3dWLXKwDqi5RCTh48KIdoKIQYKIYbkfx5dHA0GAOskSfICegAbhRa3viRJqyVJCpIkKcjNza3IIMZg9+7dLFq0iPPnzxfbt7Dd/PPPP8fPz4927doV6bt3714sLS3JzMwkODj4kV6gpqK0CutIksQHH3zAjRs3uHHjBps2baoydRp27VrEBx+0JjLyHHXqtNJIRQ1gbW0PQEzMZQCaNXuBoUO/pFmzh+6zxMRoDhxYw4kTvwBw7tw+rl8/wbffvsWnn3bjyJHNZXQ35QdbWwf++msz69dP5M6da4CcsgOgTZvXGDlyNX36TCcm5jL37kWaUtRyiSHO4o3AAqA98FTeR6tWKUQU4F3gZ6+8toK8DvwIIEnS38g+CO0e1zLm+++/Z9KkSRw/flzrLDiffLt5wb0Ds2bNIiIiQutMNyMjA5VKRc+ePbW+AMszpVVYJysri5CQEGbPno0QQl3UJz9Mt1atWpXGr1KYO3euc+3aMV56aTpz5hylcePOGsfffXcbAEuWvApAvXpP0737BOrWbaXuU7OmPyNHrqJnz8mAvLO4e/eJtGnzGmfPhnHnztUyupvyxZ0714iKukBS0h1ALkQD4OFRny5dRmFn58SkSU/www8fmFLMcokhKSaCgEaF/QQGcByoJ4TwR1YAryH7FQpyC+gCrBNCNERWBPElvI5ReP7559mwYQPDhw8nPj6eKVOmaO2nzW6enp5O7dq1uXDhQpH+vXr1IjMzk5ycHKPIbUzyX8wjR44kIyMDHx8fPv3000d6Yc+ePVtjNRQcHExCQgITJkygf//+lVIJAPTq9S7t2wfrTH5mZmaBk5OH3h3FTk7udOkyWuPnoUMXExNzmU6dhuPurju9SWUlPv4m/v4tadPmVfz85KR7fft+wP/93wxyc+X/NQcHN9zd66rDbRUeYogiOAe4AyXK1CRJkkoI8RbwO2AOfCNJ0nkhxCfACUmStgOTga+FEO8gO46HPYLCMQoDBw7k3LlzzJ07l6ysLJ39dDk0Y2JitO6QFUJgZWWFSqUiOTkZW1tbLC0tS01uY/PKK68waNAgzMzMuHnz5iM5KK2trfngg6KzsqZNmzJu3Dg6dOhQGqKWS9zcfHFz050B08mpFitWPIyZSE6O5+bN/7Czq0GdOvoX4h4e9fHwqF9qslYkbt48RVjYcoKC+tCjxzvq9nPn9rFjx3ycnNzp3XsaixZdMaGU5RedpiEhxA4hxHZkU80FIcTvQojt+R9DBpckaZckSfUlSaojSVJIXtvMPCWAJEkXJElqJ0lSU0mSmkmStKc0bqq0+OSTT1CpVHpr6RZnN9cVd//MM89QvXp1yipvUmlhZmbGtm3bePHFF/nyyy9LdewOHTrw1Vdf0b9//1IdtyJx8eKffPppN374Qf6bu3z5b+bO7caWLR+r+8TF3eDkyR3cvl10xVlVcXHxoUuX0TRp0k2jPTLyHGfPhnHo0EZ++610/14rE/pWBAvKTIpyyLVr15AkCW9vb731CEJCQrTG1rdv35727dtz8uRJMjIyAHmj1Ouvv87ixYs5ceIEDg4ORVJSlHfMzc1p27Ytffr04Y8//uDtt98u8RipqamcO3eOGjVqUL9+1ZrBHj36M9HRl2jVqq+6NGVBMjPTOHs2TO2XqlHDg8DALhphpqdO/cq6deN57rk3GTFimbo9OvoSZ87swd29Hs2adTf+zZQjAgJakpv7OidPbuPYsS20atWXLVtmc+DAGqyt7bC2tisSqqvwEJ2KQJKkg2UpSHmjb9++nDlzhv/++4+mTZvq7Jdvy54xY4bG3oFNmzZx5MiRIv0zMzM5ceIE7733Hp999pnR5DcmLi4ujNK1nSQAACAASURBVBkzBk9PT3Jycgwu3JPPhQsXePrpp2nZsqXGiig9PZ24uDisrKwMyu9UEfnrr80cO7aF2rUbaFUE3t6NsbauhouLHGdRp85TzJixV6OPi4sPLVr0wsfnSY32GzdOsn79BNq2HVDlFAFARMRptm79lI4dh9OqVV+uXTvO3bu3mDx5K0FBfbh3L5LJkxvg4ODKRx8dNrW45YpifQRCiL7AZ0BNQOR9JEmSKnWKSE9PT86cOcOgQYMYN24cY8eO1dk3LS0NLy8v5syZw6BBgwBwdnbmt9+053wRQjBwYGG/ecUgLi6OjRs30rlzZ1599dVHGsPa2pqnnnqKhg01X4RhYWH06dOHF198sdIm5GvVqp9OJQDg4uLNwoWX9Do0g4J6ExTUu0i7h8cTdOs2joCAp0pN3opCWloSLi5e9O49lYYNOwLQr9/HdOkymoAA2bdiZmZBdPQlqle/r2+oKokhzuL5wIuSJF00tjDliV27drFixQrefPNNTp8+rbfvqVOnOHLkiIZt+4UXXsDX11drCKmPj4/eVUZ5JiIignfffZegoKBHVgRPPvkkx44dK9Lu4OCAj48PLi4ujytmuaVduwHF9nFx8SrSlpubi5mZ/mjvgICWBAS0fGTZKjJhYSv4/vv36d17qnoHtr9/c/z9m3Pu3D5OnfqVoKCXWLDgAjY2DiaWtvxhyIayO1VNCeTTvXt3tm7dyhtvvKG338yZM9m/fz8vvfSSRru+uPtly5bRqVMnfv7551KX25i4urryzjvv4O3tTe3atR87+VxBOnfuTEREBN9++20pSFo5SEyMYcgQW8aNe6gcVKrsCrURsSywtLTByckdO7saRY6FhHRl9eqR/PPPj3h6NtSqaKs6+qKG+uaZhU4IIX4QQgzIb8trr/T4+/vTp08fnnzySb393N3d6dy5M76+D8MCY2JisLGxUb80hRB4e3vzzjvvkJ2dTVhYGAcPHqxwKRT8/f1p2bIlO3fuJCYmRm8BnqpMZOQ5li4dSHz8TY326OhLREScJiPDsNrMlpY2ZGdnkJ39sOjMmjVjCA42548/NBWmSpVFfHwE8fEVNwXLo9Kjx9ssWxZF48ZdOHtW9qkcPLiOfftWM2LECpo168Ezzww2sZTlF30rghfzPo7I2Ua7FWirePmTS0Bubi7+/v4EBgbq3VUMusNDjx07Rr9+/Thy5Aj169dHkiRWrlxJZGQkw4cPp3Hjxhw4cKDYrKblkRkzZhRbgEcfoaGh1KpVS+cmvcrATz/N5K+/NvP995p1h1esGMq0ac24deuMQePY2Tmxfn0aX3+doG7LyZGfvaWlZo6qyMhzTJjgx8KFmivTqoPEhx+2Yu7cbuTkqPjxxw9Ys2YMLVr0ZOrUX7GxsWfLljl88804HjxINLWw5Qp9PoIw4HdJku6VlTDlhfT0dPVMfe3atXh5edG9e9EojNDQUEaNGkV6ujxby58ZA0RGyvlM/vjjD0BOu5ydna2ufdyzZ0/atq14qXATExMNKsCjj/v37xMXF0dqquas+PLly7z88ssEBASwbdu2x5bVlDRp8hzR0ZeKpDuuVasumZlp2NoaZqeWNyDaarSNG7exSOpqABsbe1xdfXBycn9kuSsyZmbmNGjQAQsLK7Ky0unQYSjJyfHY2lZX9zl48Fvi4q7To8c72NsXNSNVVfTVI5gKPA9YAvuA3cAxU+/8LYt6BLm5udy8eZOff/6ZqVOn0qtXL3bs2FGkn5+fn1ZnsIuLC+np6aWSt7+8sWrVKp0RVIZmC83IyCApKQkrKytq1Hj4z3jx4kUaNWrEE088QXh4eGmJXKYYmn1U4fFQqbI0Evb98MMHnD69m379PqFFi546zztw4BuystJo124g9vbOZSFqqWGSegSSJH0GfCaEcEAuTjMCWCmEuAj8hrxauPPoYpVfzMzMCAgIoHv37ly+fFlnhI+uGfC9e0UXUfllGGfMmEFISAgtWrRg9+7d1K9fv0JVKrO1taVmzZokJiZqmIdKknzOxsZGa+ptf39/Tp8+jZ1dxS8unpQUh729M+bmhgTm6WfNmjEkJEQxduw6HB2rdp6c//77jW++eYNGjToxduxDH8mdO9e4ceNf0tOT9Z7fufMIY4tYISlxPYK8SmIvAN0kSXq+uP6lTVlVKDMEXSuC4rC1tWXIkCGsWrWKgQMHVkgn6xdffMGUKVPIzc3F19dXZwGeqkb+imDYMHuystJZu/a+wWYgXUycGEBc3A0WL75KrVp1WLNmLPfvxzB06Je4ufmVjuAVhGvXjvPBB63w82vO3Ln/qtvj4yNITo6nZk1/HBxcyMlRcfduBNbWdpXGVFYe6hF45tUk6ICce+i4KZRAWXHr1i0mTpzIkiVL9PbTFR5aXBx8eno6P/30E5MmTaJnT93L2PLMSy+9pHaq37x5s0RKYNOmTYwcOZIDBw4YUULTkZmZRmZmKpKUy7x5mr6lGTOeYvx4XxISiq+Dnc/w4ct4993tVK8uV8o7f34/J09uR6XSTIaYnZ3Je+89yXvvNXn8myin+Po2Y96804SEHNdod3PzpU6dILZtm8vQodXYsWM+b79dt8iziIq6yH///Vai518VMGRn8WfAq8glJvNzJ0vAn0aUy6RERkayZMkSnnrqKV555RWEEFrLVQYHB3P16lVWrlzJnTt31OklgGLLMCYmJrJwYcUtm+fj40NkZCS2trbFdy7EoUOHWLt2LUFBQXTu/DAff0ZGBrNnz8bMzIzZs2eXprhlirV1Nb76KpK33vImLu6GxrGEhNvcvx+LlvpLOilconL06DWkpiZSo4anRru5uSWRkWeBh5XwKht///0D4eF/0q7dQBo16lTkuBBmZGWlk5R0h5o1/bGz0/QDbNs2l0OHNvLGG+vp0KG06mtVfAwxYL4EPCFJUqaxhSkv+Pn5sXjxYm7fvo2HhwfNmjXj1KlTWvvu2rWL2NhYjhw5UiQKSF8ZxpJW9SovTJ8+nV9++YXZs2fTr1+/Rxpj6NChBAUFqSOo8snNzeXTTz/FxsamQisCkGsEfPHF5SIOyblzT5GdnUn16jUfeeyGDbWn6TYzM2PevP+KhJVWJi5dOsT+/V/j799SQxGEha0gKSmOTp1G8PLLs7C2rsbQoUWzjfr4PEmTJs/h6Fg2lQ4rCoYoguvIkUNVRhF4enoyceJEwsPD2bBhg0ZkS2ECAwPJycnB01NzdhYcHExwcLC6glnhCKKPP/6YK1euIElShcrAGRkZSXh4uDpk9lFo27at1tBZa2tr5syZU2FqOOvD3NwCD4+iBWIexV59/vwBYmOvEhjYhVq1AvT29fWtmKlLDKV9+8HY2Tnz++9LuXDhABMmfA/Avn2riYj4j5YtX8TGRnewQa9e79Kr17tlJW6FQV/46FJkE5An0BQ5hFStDCRJmlAWAhamPDmLDSW/SHvB7KRRUVFMnToVoEI5W+/cucO9e/eoVasWM2bMQKVSsWbNGlOLVW7Yvx9++mk9+/atolOnETz77MjHHnPx4v4cPfozEyb8QOvWL7Nnz3Ksre2qbARMcvJdxoxxw8rKlrVrk7CwsGTfvtUkJETx3HNvVBrncGGM6SzWpwiG6htUkqT1jy7So1MWiiAyMpLLly/j6+tL3bp1S2XMy5cvM2fOHDZu3Ei9evWIjIxU1ymAirfPQJIkdRK0nJwcvQnRCivCQYMG0apVK9q1a1fpEszt3w9ffvk+27fPw86uBkFBL/HyyzPV0T1r1ozFzMycYcOWFptELp+wsJXcuHGSZ58diadnI0aMcMTa2o516x4U6btz50Lu34+hd+9plTrU9MyZPdjaOuLv3xILi4cV/uLibvDDDzOIirqISpVF48bPMnz40iLnG5LEr7xhkn0EQBLwlyRJVW57zPbt23nrrbd44403WL58uc5++Ym/DPmDysrKYuPGjQBcuVK0XF5+ioaKogiEEKxcuRJLS0u9aTgKm8YiIiKYO3cuubm5HD58mHbt2mn0P378OOnp6bRp06ZClfAsyAsvTKR58x4sXTqQgwe/pUOHobi5+ZGbm8u+fasAGD78K4PHe+65hxv4MjIe0K3bWzr/5g4cWEN0dDidO79eKRXB5ct/kZJyj7p1W2v1s+TkZPPXX5vVPxcu3Xnw4DrWrBnDM88MYfTor40ub0VBnyIYBCwTQqQBfwFHkBXDuTKRzESEhoby0UcfAfDdd9/x22+/4evrqzXU8dChQ3Tt2pWePXuydetWveMGBASwZs0a7t+/z5QpU7S+PCMiIvDz8yvXZqIFCxYQHx/PhAkTGDNmTLH9Z8yYUSR6Kl+BvvLKK8yfP1/jXnv06MHdu3eJi4vDza1iOvScnNxxcnJn2LAlPHiQoFFM/vXXV5Kbm/PIET02NvZaZ7j59OgxifT0pEpboH3LltmcPv0bU6fu0oimunr1GObmFri71+PNNzdiY2OPu3vdIuk5LCysUKmyyMrSHdGnjcoahZVPsRvKhBB+QNu8TxvAB3kfQQ9jC6cNY5qGtDl2Qd4Jq805umXLFl5++WX69u3L//73P4OvU9xGtPJsJgoMDOT8+fOcO3eOxo0bF9vfzMxM74qh8L326tWL5ORktmzZgqtrxXuZGSPFRFZWBmlpSVhaWmNn51S6g1cwfv75I27cOElgYFcyM9MIDHyWunVbM3RoNbKy0lm3LhVr62o6z1epssjNzcXS0trgF3to6BSOHdvC3LmnqFbNdPW4TLqhTJKkm8C/wCngPyAOKHnweAVA2+wV0Bk11LdvX9LT01m7dm2JrqNtI1pB8tNRlFae/9JkypQpzJs3Dw8PD/bv38+WLVuKJI8rSHFhsoWzlu7cuZM///yzQiqBfH76aRY7dy4kKyuj+M4GsHv3Yt54w51t2+aSlpZMfHwEDx4kFH9iJaRfv4+YMmUHCQm3+eGH6Vy48AcAfn7N8fVthqWltd7zLSyssLKyKdHsfufOBcTFXSc8vNJundLrLJ6OvAJwAy4B/+R9zkiSlKP1pDLAmCsCXbNXIUSpFALZs2cPgwYNon///rRt25YhQ4YUO261atUYOnQou3bt0og6Kg+rhbp163Lt2jUuXbqkMwRW1yqrIKX1fMsDe/Zk0727/DJavPgat26d5fbt84SFLad+/ba0bz8IGxt7GjfuXMxIBcdcxv/+9zETJ/7I3r2r+Pvv72nVqi/vvFN0FRodfYn792Px8mpUqWPl//tvNxcu/EGzZi8U2Vh2+vTv7Nu3Cju7GrRrF0xg4LOPda2oqHCSku5Qt25rrKxMF9psKmfxECAV2IHsIzgqSVLSo4tR/vHx8dFZWrI0mDRpEvHx8Sxfvpxff/2V+fPns2jRIqKidG93T0tLY+XKlWoFVTDVtamVQdeuXQkMDNQb958v4/Tp03Um6auom+u0kZubw2uvzSU9PZnTp3/jm2/exM3Nj4SE20RGnmPBgt7UqFGb5csNT3EQFPQSTZt2p2bNAO7di+TixYO89tpcrX03b57GiRNbeeed/9GqVeWrH6VSZWNubkGzZi8U2XGdz9atIYSHHwLAzc1PQxEkJESzYcNE7OxqMGrUaoOu6enZAE/PBo8vfDlGp2lIkqQGwHPACaAT8IsQ4pgQ4mshxPAykq9MCQkJKZIywdLSkubNm5OVlVWk//vvv88rr7zC2bNnix07NDRUI1ooIiKCmTNn0rt3b71mIqDIKqUkRWBKE0mS2LNnD4cPH1YX2tm6dWuxL/Lg4GCdRWgKZy197rnnqF69OidPnixV2csKKysbeveeyquvhuDhUZ8WLXrh69uM+fPPMnnyLzRv3pPGjUs2Q3V29qRWrToIIXjmmcF8+eX1ItEw+Xh7B9KgQQeqVaucvoRp05oycKAZkZHndfZp3rwXtWs3oF27YBo10lx55eRkc/Toz5w+/VuJr23iDPxGxaDso0IIC6Al0AEYA/hLkmRuZNm0Yux9BKGhoUyfPp3IyEh8fHyIjY0lMzOTpKQkHB0dNfqNGDGCrKws3N3dWbBggd4Zui4Hcf5msvfee4/o6GiD5TSFOSUrKwtra2ssLS21KkZdfP7557z//vvk5GhaFF1cXPjyyy81nlvbtm35+++/tabsqAgUdhbfv3+HN95wx9bWkTVrEitc7Hp5Y/LkBkRHX+Lzz8+r8wo5OroybVpzatUKYM6cY3rPz8pK5+TJHdjZ1eDJJ58r9noJCdFMnOiPSpVF374z6d//49K6lRJjEtOQEKI3cqRQO6AxcB45hHQysqmo0pG/8SlfCYSEhBAREYFKpdKIac+3e+e/DGNjY4s11+gyi0RERNC4cWMiIyN59dVX2bFjB5mZD7N5CCG0zkRMYU7Jzs6ma9euakebJEmoVCrMzMwwN9c9L1i4cGERJQBgb29f5Hn9+uuvCCFwcHi81M2mIjU1mWvXLmFnVwN397qkpNzF378ldnY1FCVQCixcGE5ubi7x8Td5++06uLh4M2PGXh48uGdQoRkrK1vatHnF4OvduXNVneU1Le3+I8td3tHnLN5C3t4B4KQkSYZPAY2IsVYEunICaQvj1De711WhS1/I6NKlS3F2dubChQusWLGChAQ5IqR69eoMHDiQ9evXl8tqZz169GD37t3s2rWLF17Qbq8F4zvhyxOLFh1k0qRONGjQgVmzDpKbm0tS0h22bJmNEILhw7+q1PHoZUVGRirvv98cFxdvpk/fw4MHCeTm5uLkVIucHBXnzx8gM/MBjRp1fqyQ27i4G+zbtxpHRzd69HjHpL87k4SPSpLUV5KkhYBTYSUghNBeq7DohbsLIS4JIa4KIabp6POKEOKCEOK8EOI7Q8Y1BtpCR3XZ4h+lZq+2kFFra2sGDx6MnZ0dwcHBzJ07V60EAFJTU2nXrh2rV6/Gy8sLIQTe3t7lQgmA7D8xMzMrUsi+MLpWL5XJSZyPlZUN/v4t8fRsQFpaMoMGWTJunBd7964gLGw5AweaMXOm8Uxev/wSwogRjmzf/pnRrlEesLGxY9Giy3zwwT7MzMxxdHTDyUlOFX/4cChz53bjiy/6cunSkSLn/v33j4SFrSAzs/hNZTVr+jNgwFx69pxUqRW4IWvVD4UQau+WEOI9oE9xJwkhzIFlyNXMGgED8qqbFexTD3gfaCdJUmPg7RLIXqroe7nnpz0AeeWga4mv78UWHBzM6tWr8fX1RQiBr68va9euZcOGDbRq1Ypq1aoVmR2rVComTJjAtGnTuH37NpIkqbOaliWhoaH4+flhZmamsbfhl19+IScnh969e+s9X1cBH22lLZctW8agQYM4evRo6d1AGdKwYWs+/fQEI0euwtbWASEENjb2DB68iM6d5QR0xnyh5ObmkJ6eQmam7r0dFZkFC/rw+ecv6t2jUTD1hLY0FJs2Teabb94kJeWuUWSsiBiys9gV2AlMAboDDYABxZmKhBBtgI/yK5kJId4HkCRpboE+84HLkiQZnL7SWKYhXaYbCwsLVCoV586d47///tMZE/+45priduDmY21tzdq1a8tMGWgzmZmZmbFhwwaDZbh69Srz589n+/btxMXF6d0LMWDAAL7//nu+++47BgwYUGr3UVYUdharVNkaSdFyc3PJzc3RaCtNMjPTyMnJxsqqmtGuYUoGDbIiJyebjRsz1cXrb906y65di/Dza0b37sUnRd606V0yMlLo1+8T9SpCF9HRl4iNvUJY2AqcnT0NDjk1BibJPlpogJrAXuAkMEIy4CQhRD+guyRJI/N+Hgy0liTprQJ9tgKXkR3S5siKQ29cV1n7CAIDA8nNzSU0NJRu3bppVRbm5uasX7++xC/nqKgozp8/j4eHBy+++KLB9Y/1+SJKm0fxhxRmw4YNDB06lMGDB7Nhwwa9fQ8ePMitW7do3749/v7+jyKySTFGigmFh5w+/TsqVRYtWvRi7dqxHD36P55+uj97966kefOevPfezlK93ooVw/jzTznRsqNjTVatulOq45cEU0UNpSDXI8jHCggA+gkhJEmSSiPphgVQD3mfghfwpxCiiSRJGu55IcRoYDQYz66c/xIvXDeg4Mtdl/koNzf3kWbo27ZtY9y4cQwePJiZM2cyfvx4vTtwi5PDGOgzma1evZpffvmF0aNH83//9386xwgICGDYsGEGhYN27NjxkWUtD/z++3pWrZpKhw5DGTjwoZ0+PPwwSUl3CAzsUuXzBT0OTZs+LJWelZXBgwf3qF7dndGj1+Ls7KnnzEfDxcUbb+8m+Pk1p23b14iPv0l09CVq1aqDu3vppKgvD+hUBJIkPW78XhTgXeBnr7y2gtxG3rGcDdwQQlxGVgwalaklSVoNrAZ5RfCYcumkfv36/N///R+tW7fmtddeK3K8tHceBwQE0LVrV3bs2MHGjRt56aWXOHXqFLdu3VLn+9cWVVOWTlZd92xmZsbWrVv57bff6NKli94x2rdvX6QsZWUlNTWJpKQ7RRyRGzZM5MaNf3Fy8uCFFybSu/dUo1z/8uW/2bNnGXXrtjLITFKRGThwPgMHzsfBwQVzc81X2YABsh/mq68icXHx0jiWkZFKWloS1apV11vNDOCVV2bzyisPy6aGhr7Hzp2f8+qrn/LSS++X0p2YHp3O4rysozoRMl56uhwH6gkh/IUQVsBrwPZCfbYirwbyfRH1kUtjGh1tDtAzZ86wePFifv/9d63nlMTpaQjdu3cnLCyMiRMnYmtrS5s2bbh58ya3bt3C2tqa2rVrF7melZXVI1/vUdCVIC8nJ4cDBw7w7rvv8vLLL5fa9c6ePcsPP/zAhQsXSm3MsqRnz1EsXx5N//6faLQ3bNgJgPv3Y7h+3Xi7phMSbnPkSCgXL1a+BGlZWens2bOMP/+UzYtOTrVwcqpVRAkAeHk1xs6uhlZn8erVIxk3zpOTJwu/jorH2zuQwMAuRll9mBJ9+wh+QlYU25B9A/GADVAX6Ax0AWZJkhSmc3AhegCLke3/30iSFCKE+AQ4IUnSdiGHTyxEdkLnACGSJH2vT+DS8BHo8gfMnDkTS0tLGjZsqI6LDw4OZu/evWzevJlnn32W0NBQhg8fTnZ2tkE7ikuCtpznzz33HIcPH1ZXMytpyuvSIDQ0lKFDh2rdFGaIr+DBgwdkZGRgb29fbD3iadOm8dlnnzF37lymTdMacVyu0ecjSEiI4vr1kzg5uVO3biujXD8+PoLw8EO4ufnRoEHlWoXdvx/LG294UL16LVaujFW3x8Rc5vbt87i718fbW06Nnpubg0qVrTVJ3Lp1Ezh69GcGD/6Ctm2LrvwLkv8/eeZMGLdvn+Off36kYcNODBigPdeTMTGJj0CSpP554Z7BwAjAA0gDLgK7kF/aevPsSpK0K69vwbaZBb6XgEl5nzJD156BFStWFHmpJSUlERcXp061HBwcTHh4OFeuXGHRokV4eHg8tjz5ZfO0hRXGxcWRkZHB9u3b8fT0xNOz7GciHTp00KoEwDB/xaJFi5g5cyYzZsxgzpw5evs2bdqU/v3768xmWpFxdvY0+kzSzc0XNzdfo17DVFhYWPPcc29ibS2bc+7di2TbtnmEhclVBHv2nMygQQsAMDMzx8pK+273YcOWMGzYkmKvp1JlM2KEI9Wr18TZ2Z/Ll9sAFqSm/mISRWBM9GUfRZKkC0DZZzczMiXZELZu3TpUKpVGTYLZs2cX6fcohIeH07x5c/z9/XWaQtatW0d0dDQdOnQwWdoFbaU183FycuKPP/6gU6dOOvtYWVnh4uJikPwDBgyokGGj+ezfv5m//z5AmzavEhio6TtRqbIBSR32qFAy7O1rMGLEsgItQq0EgoL64O3dpFSv9+DBPbKzvcjMTMbWdhbQGSFy6Nfvf2RnZxZb+6AiUSWTn+hytrq7u3PgwAFiYmLUba6urri7u2NtXfq/dFtbWzIyMrh48SJdunTh/PmHGRUHDBhA69at8fDwoGfPnibNvePl5UWvXr2wstJ8gVlaWpKYmMj33+u15jF16lTu3r3L1KnGcZCWJ86ePcz+/V8TFXVRo33jxskMHmzFtGnNuXLlH6PK8OBBIlu2zGHt2jeNeh1T4+zsyZAhi3n//T28884WOnYcWqrjh4e7A1do0uQGN27IWUwlyZyVK4fx9tt1SvVapqZKKgJdDtCEhASeffZZtm3bpvPc7OxsoqKitJauLCne3t6kpaXRtGlT9u/fr5Fs7tSpUxw7dozExEQALl68yKxZs9i0adNjX7ek1K9fnx07dvDNN99o7IyeNm0aY8eOLdWQz9zcXNLT09U+kYpG167BjBy5qkixlPzauVFRF/jrL/2K83FRqTLZsuUT9u1bRXz8TbKy4MQJSEiAP/6AN9+Ed9+Fn38GlcqoopQq2dmZ3L17i+RkeUewEIIXXpjIk08+V6KEfseP/8L06UFs2VJ0ZX/lCixaBHfuwO7dcttff1UjOflhn6ysdNLTkytVWmq9pqHKSr5zd+LEidy7d0/dnpmZiZmZGdeuXVO3bdq0iYMHDzJo0CA6duzI1atXadSoEU888QTh4eGPJYeZmRm2trasW7eO+Ph46tV7WOR83bp1JCYmsnnzZho0aICdnR2ffPIJL774IoMGDXqs6z4qZZHeYtWqVbz55puMHTuWFStWqNvzM8OWtypthWncuC1ubkX3S/Tv/zENG3bkn39+pH79NkaVwcnJnZEjv0Wl8sLKypXPP4dz5zT7JCbC//4HdepA8+ZGFafUiIg4zYcftqZOnac00k2rVFkIYaY1ekgbaWnJ3LhxEi+vojW3v/sOwsMhKkr+aGPhwlt4eHhVqtxDxapRIcQWIURPIUSlWj0EBwdjb29fpD03N5effvpJ/fPhw4dZs2aN2oafnp6Oh4dHqTiJ82nWrBnPPfechvnn6aefxsPDg9mzZ/PZZ5/RsGFDPvroI5Mogfj4eC5cuMDdu4+Wm2XOnDm0adOGOF3QIQAAIABJREFUHTt2FNvXxsYGGxsbjRlefpRXREQEkiSpq7SVt3rO+jAzM+fJJ59j9OivadPmVaNeKysLDh0KZu3ajowfb8+5c1CtGlhagrU1jBkDbfJ0UXy8UUUpVYQww8XFm+rV3dVtKSn3GDq0GoMGWbJv39cGjdO8eQ/mzDnOq6/KYdgREXK0V0yMrATgoRKoVSsMP78orKwerlDj4h5UKiUAhq0IlgPDgSV5IaXfSpJ0ybhiGZ979+7pTOlQ0Gk8cOBAVCoVs2fPZty4cfj4+PD555+X2mx01KhRREVFERoaquGQBnB2dmbq1Km4urpSv359Zs2aVSrXLCkbN25k8uTJvPPOO3zxxRfq9szMTOLj47GwsMDd3V3n+VeuXOGff/7RyKyqi+HDhzN8uGYBvIkTJ+rMDFveVgVnzx7m9u1E6tV7ukxrBufmwpdfyi8yJye4dQuEgOxscHCADz8ENzfZFGRvL5uJ4OHXikCdOkF89ZVmQEdCQhS5uXJEm6H1hB0d3dS/G0mSn1tMDNTM23JQs+bDEOA7d95lwIBBODv7s2xZHaA51taVL2tusYpAkqS9wF4hRHVgQN73kcDXwKa8XcEVjtu3b+s8VtCZHBkZyebNm9UvotKuGbx7926ioqIICQlhwYIF6vawsDCOHz9O//79admy5WNf53FwdHSkYcOG1K5dW6P94MGDPP/883Tt2pWwMJ3bSZg1axZjx46lTp2SO9hCQ0M1zHcFKctUG4ayYcPH/PvvXt5/f49GBayrV4+yceMkPD0bMnToEqyt9ZcnNZSoKEhNhVOn4FietSQ5GezsoH//g1y79he9eo3A21szuZqLi/y1IikCbXh6NqRNm9fw9W1Ku3aG/z+GhsKDBxAUdJ+YGDnlR/7Lf+RIWaE+eBBPnTqTqVPnKTw9G/Lnn3D2LBw+/Dtbt66iT5/pNGpUsVOi5GOQUU0I4QIMAgYDp4BQoD0wlLydwRUNZ2dnevToQVhYWJF8+mPGjFF/r69OQWkogrlz5zJkyBCWLl2qoQi2bdvGsmXLsLe3p2XLlmRmZnLu3Dlyc3N56qmnHvu6JWHkyJGMHDmySLuDgwO1a9fG2Vl/ZaiAgAACAgIe6dr6ajOXx3oGjRo9jSRZU7265os3LS2Jy5f/4vLlv3B3r0/v3u899rUiI2HGDHnWD/IKYMwYWTE0aQKbNs3lzJnfad68Dj4+mlW58n9lOnRshcHCwpIJEzaX6JyrV++xc6esCU+cyI8GvALUw8VFonFjQZMmAG7AEPV5+Zbb6Oh7hIfvoXXr/lVHEQghfgGeADYCL0qSlB9b+YMQwnjFg42Mt7c3v/76K8uXL+ett95CkiR1yumCCdT0lZgsDXr37s306dOLRD1069aN+/fvY2dnR0pKCvfv3ycoKAhPT0+9q5mypE2bNkTp8qg9IsePH+f999+nRYsWzJ8/v9hiP+WN4cNna91Z7OfXAn//lty4cRJb20fP15iSAqtWyWaeS5dkJWBvL89uBw6EggFcHToMoV69p/HxKRpfn68IKtKK4PTp3/nuu/do1uwFBgyYV6JzJQl27QIPDygQpc2DB7Z5370EtOSll8ZjZqZ9opVfsjwgoDt9+uzCx6dpyW+inGLIimCJJEkHtB3QtV25IjFs2DDGjRuHjY0NKSkppKWlYWf3MBGVo6MjSUlJRc4rbM9/VKpXr671hda7d2/279/PyJEjSUpKYvjw4bRo0YJatfTnT39cjBGds3HjRiIjIxk4cCB+fn56+yYlJbFv3z71z7qS3rm4uJQ7/4A+HB1d+fTTR583JSTItv/Nm+FkgVRFrq4wf77sCLYo9N/crt1AneMVXBFIkryaKO+kpNzl1q0zeHsHlvjcS5dg0yb5GTk6yv+79vbJPHjgSJ060L37dHJzc2jZUo7ci429yokTW6lb92l1qo78FYGlpff/t3fmYVFVbQD/HRYREEFw31BLQc3dNDU1M802Nc00yX3JzCVbzLK+csHKFs0tNTXNyLLMslzKpVz7Ppe0UtwVA0RFWUT25Xx/nBkYYIYZYGYY4P6eh4eZu75z5859z3lXWreuZ/Q8pRVLFEEVIcSAPMvigX+klKW28npsbCw3btzAz8+PW7du4e3tjbOzM5Ur5x6tDR8+nGXLluUqsVCxYkVmz56d95BFYt++fZw+fZoePXrkK6vg6+tLkyZNqFu3LlWqVOHYMdsVK4P8NZj0/pB169Zx6dIlFixYwBNPPFHo465evZq9e/fSuXNns4qgTZs27Ny5k6pVqwJq1G+sLtQnn3xSaDnsQVpaKlJWsGpUyf79sGyZqjUTEQHOztCsGVy6BM8/D+7u5o+RF3d3FUmUlKRmEyWYr2gxbdo8xnvvnaBiRcuFjY9Xn03vP8nIgJgYJypVgnffrczGjdCzJwQE5B5UnD69j5CQV+nSZWg+RZCQYJWP41BYEhI6BliFqjkUhHISvwYc1DWbKZX88MMPBAYGMn36dHx9fXF2Nl6XZNGiRaxbty47KsbV1ZVVq1YxadIko9sXlg8//JAJEyawefPmXMvv3LnDwIED2bp1K08//bSJva2LKX/IgQMHuHjxImlpuZvSRUZG0qZNG3r37l3gcZ999llef/11/P3N18Dx8/PjoYceonXr1oDxFp+O0rPZGCNGNGboUCdu3sxt0kpPT2XXrhX8+utSE3vmJjlZPbwSElRsOyglAPD44/DGG/DZZ0ohFMS5c39w/Pi27MgaQ0qbecjT0wd//1bUqGGZv+nsWaUoP/sMjugK2+sLBHToAAcPvkd4eFtiY7/Nt2+dOoE8/PBk2rR5LHuZfox461YKu3at4MCB0hO+bA5LFIEr0FRKOVBKORDVf1gCHVEKoVTi4eFBkyZNsiNh9L6B4cOH59pObyq5fv06VatWZc6cOVZ9COmL3M2YMSNXP+Ddu3dzzz338NJL9qvHZ8oen5KSwvnz540+8E+cOJGrNIYxxo4dy7x584rUcSwzM5OhQ4cSFhbGyZMniYuLy+VUdzT0/SNcXHKXJJEyi9WrJ/D555P46y/jZc4NWb5cZbhOmwZxcdCwIfTvD926qf9gmTln/vxHmT//MZKS8ps3y4rD2BT79yuz1++/w82byrQ2Ywa0aqWUqZRZhIUd5/TpvQCEhu5ly5b3iY6+QpMmnRk5clEu85p+RhAXl87q1RP4+WfHvQ8LiyWmobpSSsP+bDeAelLKGCFEqQwdBRg8eDCDB6vEnrlz57J7925+//33XEldISEhjBs3LrucxM2bN3nrrbc4evQoq1atwtvbu1gyhISEcO7cuez3hqGpDRs2pGnTptStm9PyoUWLFoSHh3Pu3DmqV89fZ724FNR45+6783djql69OseOHTNarqOoxMTEsH79ery8vHBzc2PatGlER0fj5eXF7NmziY+PtygfoaT45psIrl3LymcacnXNiXFPSorLuxugon1iYsDJKceUoSt6y9ChcE/hTeM0a9aDtLRkMjPz15LQh5CWFkUQGrqXf/7ZSdOm3WjZsuBZaFZWbl8KQPv2EBiolAFAhw4DqVevBc2bqzpC27cv4OjRH/Hzq2+0gqt+RpCS4k6PHmOpWbNxvm1KK5Yogt+FED8D+vnTQN0yT8D4HV3KOHjwIL///jvjxo2jV6+c2O+ZM2fmqymUnp7Od999l6v8QVGZOXNmrvpCkBOaGhwczPnz5zl9+jQ///wz7777Lrdv3yY+Pt6idpZFITg4OJfig4Ib77i6utK2bVtCQkLo06ePSQfzqVOnkFLSpEmTfIXr8nLr1i1efPFFqlevzp07d7I/a0JCAjNnzmTFihWMHj3aCp/WdhireyOEYOHCiyQk3KRGjfz5FFIqp++5czkP6K5d1SjU07NoSgDgpZe+N7mutJmGDh68wp49P5CVlWlWEVy6pGZSvr7KFxIRkZNNrad27QBq1w7Ift+uXT+qVvWnUiVfjh37iebNH8zVwUw/RkxMdGH8eMuymEsLZpvX65rHDEDlDQAcBDZZ0sDeFtiief3vv/9ObGwsnTt3zhWV4+TkZLKwVP369Zk3b16xzEQFHd/DwyOfg/SDDz7gmWeewdvbu1BFtgpDcHAwb775JqBCbN99910uXLhAXFwcM2bMyBe1ZKrJj6Edv2HDhoSFhXHx4kWz+QS3bt1i1qxZfPHFF0ajtSxphFOSFLZ5vZTq7/Jl0F12QM0KFizIyXa1Fv/8swsXlwpUrerPyZP+rFypzE3PP2/d81iL27dVeGx4OMyYIXF1TWHq1MM0btydlBTT1+frr+HHH6F3b3jySaUILFWme/euY/nykbRp8xjTp/+cvTwrC/QVXtavV057e1IijWl0OzoDu6SUPQD7tsWyMW+99RbffPMNs2bNMln/3pSpBJQ9vbgZxqaO7+zsbNRpO3/+fCZOLHxp4cKEhA4ePJirV69SvXr17JIW+gf55MmT823/wgsvmE24CwgIwNPT0yITkp+fH4sWLWLJkiVG1ztiNrGe1NRUpk9/Amfnykyb9l2+9fHxN0hKisfPrx4VKlQkK0uVfkhOBn3Sdtu2KtKlTRvrKQEpZXanrXnzcma8M2aoQYijzgguXIB33lEOcRUaK0hPd+fixe6sWaPMZgsWgGEk97FjKsJKf0u2a6d8Az4+lp+3YsVK3HVXB1q3fiTXcicnNTu7cwfCw6/i5naHGjXuwsnJzhrBBhQ4rJRSZgJZuvISZYrIyEjOnz+fbQaJiopizZo1uWLYTZWr1qN/4BUVUz2Qi9MNLC+FLdh29913s3Tp0lx1jWbNmsVHH31EtWr5a+cYG7WD8nfond87duzg5MmTBdYjyouprOFKlSrRv39/rl+/bnR9SZKcnMyxYzs5eXKX0fUTJtTgpZeacPy4GmWGhioTRlRUjj07KAjmzgVrtYH+/PNJDBtWgX371pGWlkzjxso+EhDQxeGdxd98A5mZqqzD8eM5zvHNm5XySk2FP/5Qs4a//1Yzq2+/zVECjRqZj6rKS3z8DTw9q/Cf/+ylV6/8gy69n2D27IG89FIAiYllwjpukY/gDvCPEGInkKhfKKWcYjOp7MD8+fN57bXXqF69OufOneOdd95hw4YN9OzZk549VWcp/Yh25syZFhWoKyyGxzccrZs6n4+PD8OHD2fatGm0sbB2cFFKZFy5coVPPvkEPz8/Zs6cmS+SKq9McXHGfwxFqcuUlZVFWFgYkyZN4j//+U8+f0XlypX58ccfmTNnjs2T6wqLh4cH77//CzExWUbXN2vWg9DQo2ze/BihoTkPLBcXFd/erFnOzMBaODm5kJmZQVJSPG5uHsyefSh7nb7lw82byuxhI2tjoYiKUmadatVU6Wx3dyVbaio88EAcJ0+6ER2dkzixbx8cOKBMa506qUqilSvD4sVgxh1llDlzehAZGcq8ecdo2LBtvvV6P4G3dwu8vW8adcKXRizxERht+yOlXGcTicxgCx/BZ599lv3Aev/995k+PX8dmAYNGhh9ONvCZm3K7t60aVOOHTvGpk2bGDBgQK7t9cpEX/cnJiamQNOWECI71NGQixcvcuHCBfr06UOzZs3MhoaGhIQwduzYAhvJFOYapaamUrFiRVxdXQkODs7+Lvz9/QkODsbHx4fU1FQefPBBfAoz37cTu3ebLu2clZXJ1q3JfPWVKn8uhBrFzpql4ty7dYN6Vk5YTU1NwsnJ2WRbxeeeUyPqJUtynNQlyfz5avSvZ+BApSD/+19IS3uRvXvDcHH5lpEjXfnqqxxlasiAATBoUNHOv3LlWCIiQnn22Y+M9o346CPV5OfFF6Fjx6Kdo6iUmI8A1ANfCOEO1C/t5adN2cqbNWvGiBEj6N69e74SyHpMZbjaot6NqZlCjRo1iIyMzFWNNK/SMKzUeeXKFYQQRh3SpkwvI0eO5MCBAzz66KOMHDmSzMxMduzYQaVKlYx2ItPL+uKLL5rsV6A3E126dMmsk/u7777D2dmZ9PR0Fi9ezEsvvUTXrl3prw+ed1CkhNmzVfLS22/nztSNjIT33oNHH3Xm8OFKufYJDIQmTdSfLTCschoXd53KlavmsmnXqKEUwfXr+RXB7dvR/PrrMry9a9Cr1wTbCGjA5ctKCbi5Qf36apb0yCPKLt+sGfzwQw3uuusP+vbdSocO/bl4EX7TFb9p1kyZ2pydVaZwURk/flWB6/VjD0c1pxUVS4rOPQF8CFQAGgohWgOzpZR9bS2cNTFWPmHkyJHcunWLKVOm0KVLlwL3N/VwtlWGq6XdwIyZfgwxpgQKUmA+Pj5UrVqVTz75hLvvvpv4+Hgef/xxkzWXTp48SYMGDfjrr7+49957uXr1qtHjRkREmFUC+u9I7yMJDw9n+fLltG2bf4ruaAgB+/alEhnpxoYNJxg/vjV37qiIl19+UeaX9evVw9/dXWW27t2rolrsgZSSyZPrk5WVyT339CQ6OoyZM3dRo0Y9zp9XiiCvPf3Ikc1s2vQOgE0VwZ49yu6v9wH07AnDjNQs6N//dfr3fz37fc+eyjTUuTOMH6+ub506OWGxtkDfj8qgrXmZwBKr4DtAB3Q5A1LKE0DRagqXIMYemBkZGbz3nqpimJCQwM2bN/OVUTAkKCiIsLCwbDu2I5Q5sNRHoU9wMlei4aeffiI6Ojo7gUxKySOPPJLtN8nLkCFDuP/++zlw4AB9+/bNl0jl4eHB4sWLOX/+vFkZC/Jn6Dlx4gRr167lr7/+Mns8e9Ojh/ouDh1yY8sWGDdOmYr+9z+1Xq+TO3VSJplFi/LHtluby5ePs3DhIL744kU8PLxxd69MbOxVoqLOcedODHo3i7GQ1woVrJcomBd92OydO6o3wM2byqTm6gqPPWZ+f1BtNj/9FCZMUH6WUaNsr1j1PpyjR0/z0ksBXLjwP9ue0E5Y4ixOl1LG5/mBG/eGOTCmHpjXrl1DSsk777zDxx9/zOuvv868efPsLJ1lnD17ln/++YeAgABaqILpBfoBDJFSUqFCBfbv3089E4ZoQ9NZzZo1GTRoEG+++Sbbtm0zedwWLVpw6tQpBg8ejLu7e64ZiBCCESNGWFyXydR3ZLj866+/5v333yc4OJhWrRyrDPCAAc7MmpVEampTNm5Uy9asUc7O2rWVySMsDB58UI1+jQRhWZ2kpDj+97/vaNq0OytW3CAjI52oqHM4OTlRvXojqlXLBJwxFoTVteuzdO1q/daoUqoH+OnT0KCBsvMHBiqlWLt24Ub09i6Wp1cEd+5UIy7unNHSHaURS2YEp4QQQwFnIURjIcRi4JC5nRwNUzbx+vXrc+vWrewWjI7ogNSzceNGBg0axDfffJO9zFyIqyFpaWkmnbZ5w0yjoqJYtGiR2bo+n376Kb1798bNzS1fFraUkk8//TRXDaWCMPUd6SuRAtx7770MHz6ce4qaamtDmjVrxCOPqO8iM1NF4ej98V26wH/+Ax98oEay9qJevXuYMuUbhgxRgxsXF1fq1WtOnTpNycrK5Msvle/F1tG4Uqpw0A0blON3/341C9DHfQwZokbzBX2tCxc+zXPP1eDkyd2mN7IxVauqWUtGRlXmzj1LQEAxvLcOhCWKYDLQHEgFNgC3gRdtKZQtCA4Oxs0td+SE3lbu7e2Nj48PjRo14tVXXy0hCc3TvHlzBgwYQNOmTQkJCaFBgwYMGzYMV1dXi/ojeHp6mpwNmPI1rFu3zmT2MyjF+csvvxRoUrty5QqjRo0yqwyMKTVnZ2defz3HLjxw4EDWrVtH376O6aJ6+GH1v2JFVdNG7xbp3Fktq1PHvvJUrlyNTp2epkmTzvnWxcdf584dVZbTlCK4cyeWmJirRquXFobDh+GHH2DLFmUSA2jZUs2MOnaEgICC9wdITIzh9u0bBd6PtsbJCXLSYZpYreWoOeLjVeb5li22Ob4lUUNJwEzdX6klKCiI9PT07KggHx8fJk2axNChQxFCEBsbW8ISmkclLB3j+++/zxUNZCqpyxAPDw9WrFhhsh+AKbPMjRs3cHFxoVevXuzYsSPXOkNTkpOTk8lEOFA1msy199SvmzFjBpGRkdSrV6/YZTzsSUJCAr6+MYwbV5U6dTwJCICXX1Yx8IXIpbMJ27d/wh9/fEOfPlPw8PDm1KnfaNHiIYYOfYWNG9NJTHTNdm7rWb58FHv3rgXg00+v4eNT+LyN9HQV/bNB103S1VUt8/eH6dPVtXEzHtmaj2nTvictLRlPz5KdtdeqpUpeREXZb3Z36JAKLvDyAluMgczOCIQQTYQQK4UQvwoh9uj/rC+K7Rk5ciR9+vShdu3axMXFZUfO6EfXTk5OFpsx7I2h6QaMRwOZwpIa/qbMMlJKsrKyiMoTJpHXlFSQEtBjiWM7KCiI8PBw1q9fjxCCYcOG5fpOsrKyspsKORrff/89Q4c24MyZ57NHuG3b2t4hbI6DB7/iiy9e5Pz5P0hKiic09Hd+/vkDLl06xhNPvEKtWq5A/llBRERo9uvMzMIXGv73X+UUHz1aHbtOHWUa69tXldd2dlYF4Syt2ePhURkfnxomcyLshd5P8OuvOzlzZr/NzpOWBidOKDPjft1pjEVTWQNLnMXfAstRzWkKNT8UQvQBPgGcgVVSSqONRoUQA4HvgHullDbtg7x9+3ZSUlLo378/WVlZfPXVV0a7ckHRawjZAnNhoqYQQtCpUyeysrI4fPgw9erVo5Y+Bs4AY3kShpw/f56QkJBcYbTGtnV2djapFCxtNp+3/Lfhd+Lv70/Xrl3p1KkTL7zwgt3CeS3Bzc2N6tXr4eVlBy9wIVi9WlWUe/nlH2nUqB1RUefw9KyCh4cP//vfJnx8+hAe7smNG7lHuNOmbSI+/jq1awfmqsJpCWlpKrtX7zZydoaRI1XegonSXqUGvSI4fz6WixcjCAzsapPzbNqkTEEtW6ocC09PKEKDQIuwJLP4mJSyXYEbGd/PGTgH9AIigCPAM1LK0DzbeQFbUXkKk8wpguJkFm/atIlDhw7x5JNPcr8uRc+eGcPFoaBKpYXhk08+YcoU49VB9KYeU1FIhtfElDxCCNavX2+2ImlBFPSdbN26lS5dulCnTh3CwsIKPIct+i+bo7DVR+3B559PJisrkyFD5uUyq6xf/zLbtn2Mr28IMTFDadMGXnmleKUmzp1TkVKxsSpRrVYtCA5W4Z2ursX7HBs2vM7t2zcYNGgOvr5WrsVRCC5cUMUCfXxu8MorV7jrLuPN7otDRga88IK6hnoeewx+/tn0PuYoVmYx8JMQYiKwGeUwBkBKaa5mYQfggpTykk6Ir4F+QGie7eYA7wM299Lu3LmTFStWcNddd2UrAktCFh0BS8NEC8LJyYkzZ86YXB8WFsaAAQNYuHCh0Ye84TUpqIlNUFAQqampjBkzBoBq1aoxefJkix/CBX0nJ06cwMfHh9DQvLeRyjkYMSKnIkppmOnZg1GjFhtdXrducwBiYt7C3X0wx4878+WXUEBpKZOkpSlT0Pz5Oc103Nxg8uSi9VQ2xuHDm7h27Tx9+5ZsY0T9jCAxsTr161u3Tviff6q8k8aNlRKoUEFdW8gJRLAFluj+EaiH9CHgmO7PkiF5HSDc4H2Eblk2Qoi2qG5nWy2Stpg8/fTT9O7dm8mTJ2ePigsKK3UkgoODcbVwSCWEMNqDOSsrq8CcgJCQEBYsWGCySqjhNTFVOVXvdxk1ahT9+/enfv36REdHs2eP5W4lU9fe19c3l5/EGJmZmYwfP56pU6eaTU4rL6SlJbN+/cv88osq7Z2UdJuzZw9Sv35LHnhgNK1bBzB27A2cnWH7dhXSmZgYx7p1U3nmGcEbb7Tj4sUjRo8tJWzcqPwAb72llED79ioyaMkS1WLTFBs2zOCZZwTPPGNBz03gmWfeY9y4z/D2LlnPu4eHqgmVng4W5ElaTEYGrFqlsqVXr1bLnnpKzQR69FAtNm2FJVFDhW80awFCCCfgY2CkBduOB8ZD8R7QDz74IBkZGfz6668sXryYf/75x641hIpDUFAQU6dOzVVLyBh6842pcg4FzXTefvtt/v33X6pUqZLvQeri4pLrmpgruSGEYPPmzRw/fpw333wzOwHOEkx9J4BFfpKkpCST29lyprdgwQKWLFnLQw9NpUcPx+miFhV1nm3bPqZSJV8efngSYWHHmTPnAQIC7uedd3KcnXFxqkzDZ5/ByJEx7NhxCBjC5cuhJCTkvu+io1Vtn9BQ9eASQtXhad5clXuwpPJnYmLhIvU6dBhgfiM70aRJIuHhnhw6dJNmzaqa36EA9u9XzvRatZRJTY+Tk+pSp09tsmV1WJOKQAgxXUo5X/d6kJTyW4N186SUb5g5diRgGLReV7dMjxdwD6rtJUBNYIsQom9eP4GUciWwEpSPwOynKoCOHTvywQcf8Oqrr5KVlWX3GkLFwVyvXkMFVpDpxhT6Hs4A7u7uuRRPJcO4Qh2W1ENq06YNW7cWbsJn6jsZZoWQCVvO9CIiIrh06W8SEx2r08tXX6kKrn5+6ufo7V2Dxo3vo3LlamRlZWYXoevTR/VFCA2FRYsaodx6iu3b0zlyRM0AkpJUtVR9spyzM0ydCvcW0lQ+YsQiHn54Mp6e5nNgHA1X1/1AHw4fTmDs2KIrguhoWLFCRQa56J7GgwapPhUNGxauoU5xMOksFkL8KaVsm/e1sfcm9ndBOYt7ohTAEWColNJoXWMhxO/AK7Z0Fu/evZsKFSrQoUMHhBCkpaUZfcA5KqacqJBTptnQUWosCqhnz57s2mW8cYoheSN3oHAOX1Bmmvj4eNzd3XG3gqG4oM+fFz8/P+7cuZOrJ3Rh5S8s165d46efrpOZWbNIMfe2IiRkOgcPhjBkyLt066YcAOnpqQwfXhEXlwqsW6e+YycnJ27dUs7eGzfUA97PTzWGSc8TPerkpEJjq1dX4bG60lQ25ciRzQjhRJs2j+HsbIl703YwMH4NAAAgAElEQVQcPryTBQseAFz47DNBYR4jGRnw+ecqCighAX7/PWedhwcsXaqSD/NiyzLUBSmC41LKNnlfG3tfwIkfBRaiwkfXSCmDhRCzgaNSyi15tv0dGysCPz8/YmJiuHHjhtFuW46OJf2B826vH1X7+flx8+ZNnn766VwlKvTExMSwd+9e6tevT7t27awSTdW/f39+/PHHfP0Tioqxz+/q6pqt1PXor8mpU6d49913AVWmYuHCheUyasgYsbFRzJjRitu3o3FycmbcuM944AHjJdhjYlR5aCmVCSgrS4U02rsv0LBhbmRkpLFuXTIVKhh5UtqZ2bNVvaQJE8BIhfZcxMQok1ubNkoRrF+fs04IGDNGZV4//DA8/rjxY5RUPwJp4rWx98YPIOU2YFueZf8xse0DlhyzONx///1ER0ezfv16Ll++zNtvv52rjo2jU1gzlqHpJikpiYSEBJMzoJMnTzJgwAC6dOnCgQMHrBJNpW+SM3DgQMaMGcOqVQXXejdH3s+vzzw2XJb3mgwePJi4uDiaN29eqr5rW1OlSi2WL7/OmjUvsGvXp6SmJuZaHxl5hvj4a0RHhxEdfYXWrftQoYIHaWnJ3H13B6vI8MUX09i+fSEBAV2YPn0rHh4Fd8Rt164fGRmpuLgUMw7VSrRurRTB8uWqftLUqblH8vHxamBw333w5ZcqOezEiZwwWnd3lWdx332qpHZx+igUl4IUQSshxG1AAO661+jel7w6LgI//vgjkFOSOSsri6VLl5akSIXG0j4FefHw8CiwOJ2npyd9+/aladOmQNF8DHlZvXo1nTp1Yvz48WZ7EViK4eefOnUqzz33HIsWLco3SymJHIIvvviCX389R+vWQ6lbt5DNcu3M5Mn+xMZGsWxZJCNGfJLv4bpnz2ds2/Zx9nsPD2/Wr58GwNq1iVapsfPHH2pmevbsQRIT48wqghdf3Fjsc1qTRx5RDWr27lUP+DVrlKnsyBFl5//hB7h4UfVaSE/PKa+Rnq4igMaMUaUjHnywpD9JAYpASmlh4nfpIiQkBFdXV9LT01m7di2dO3d2SMewvWnXrl22ogTrdGQTQjBu3DhGjx5ttC1mUbl9+zYff/wxi3TVyypXrkxISAgzZswgIiIiX1c2e+UQbNy4ka1bt1KrVkeHVwQZGelkZqaTnm58hF29ekMCA7tRu3YAPj61ciVNWavEw6hRS9i581O6dx+Jl5cD9MksBBcvHmXevIeoX78lc+fuY+bMnDIQoFpaQu48gOHDVW2lw4dVlnW1atCvn91FN4rZzGJHo6g+gqysLDZs2FCsjNfSTGRkJO+88w5Vq1bNtpuboyRG1ZaQlJSEp6cnLi4uREVF8dNPPzFp0iSzoaW2zhb/9ttv2b79LC1bDqFmTTt4T4vBpk2zOXbsRx577GW6dBlqdnspJYmJsaSk3KFqVfvn2EgpdUqrgtVml8Xh8uXjvPFGW/z9W/Heeyf47TdYuVIVhevQQTUkcnNT/ajDw1Vo7qOPFi8EtEScxY5KURXBnj17THbZcrRyErbg3LlzBAQEcPfdd2d3CzN80NetW9dqIZp6Dhw4wMyZM7n33nvN9jUoLPPmzaNmzZoEBQUREBBgUTSREMKqMxNjlBZn8erVE9m161M6dnyKrKxMAgO78uij00paLJPExkYxcWJtvL1rsHz5tZIWh8zMDJKTE6hQwT3bcX3hgjINVa6sTELFLTseH3+D9PQUvLyq4ubmUbLN68sKtw2LduTB0cpJ2IJatWqxcuXKbIdp3gic8PBwhg8fzuHDh1m82HhJgsKSnJzMvn372LdvH/fee2+uPIXi4u/vz8yZMxk7dqzFNZgcLVu8JHnyyZl06fIM58//l6++mo6LS04GmJSS1NREKlasRELCLW7evIKnZxUOHPiSqKhzDBo0m+rVi5dnGhNzlVOn9pCQcBMvLz8CA7tSrVoDk9unpiq/hDk/gr1wdnahUqXc+Q+GIbTWKE+9efNcfvllMcOHL+SRR6aSlHQHsE24e7lRBPpyB8Ye+uXhAeHl5cW4ceOy35uqHrpx40arKYL27dvTuXNnDh06ZFHPYksJCQlh7NixpKSkWLyPI2aLlyS+vnXw9a1DtWoNdC0rG2Svu307mgkTalC7dgB9+rzImjXPc889D3HypMo/6dVrYqEUwZ07sfkempcuHWHZspzZ56RJXxWoCGrWvJu1axPJzMyw+LylHXd3L3x96+LlVZW0tBRee+1x7rtvC5UrV7b6ucqNIgBlTigN5STsQUGNaAzLTReHKlWqsHr1as6ePUuAJS2oLGTmzJmFUgJ+fn588sknDuHfcDT8/OplZxzriYmJxNXVDTe3Svj41MDfv3WuDmU1alg23M3MzGDq1EbExESydu0dKlTISSqsXLk6nToN4cKF/9KkSRf8/OpadMySTiTTk5aWwqpV45FS8sIL683vUAQGDw5m8GD1bAoN3cvAgZNtogSgnCgCQ1u4r68v7u7uxMTEOJQD1B78/PPPJCYmMmjQoAKrmVozwiYwMJDAwMBiH8cQc6Y8fU8Ef39/3nnnHTp37my0CJ+GcRo2bMPatUkkJcVTqVIV7r33SWJirvL3379QqZIf3t6WVdzMyEgjPT0FJydnoqOvUKdOzn3QpEknmjQp4Y49xcDJyZn9+9fj5ORsM0VgSLNm3alrma4sEiXvfrcxeTtp3bp1i+TkZNavX09YWFi5UQKgkquGDBlCUlJSgU3vrVmlc9GiRbz11luk561RUAxMmfL8/f2RUpKRkYGUkrCwMO666y4CAgIYXpTaymYoDZ3tzJGcnMDeves4cCC37E5OTrnMOb6+tXnggVG0b295n8QjRzZz+3Y0HToMzKUEisKRI5uZO7cnO3d+WqzjWAtnZxcmTFjLpElflWgPZWtR5hWBMVt4eS1H3K9fP55++mmklAQFBbFy5UqT21rLgT516lTmzp3L4cOHrXI8MF8C25AqVapw9913U9fKw6m8Awx9rsKuXaVLGSQlxbF8+Ug2bDBf4z8s7AT//e+3XL9+0aJjSympVMnXaI5AQsItUlISycrKJCkpnuTkhAKPFRV1nlOn9lh8blsjhKB79xF06vR0doKqtZk//3FmzGjDtWsXbHJ8Q8p8+GhBnbRsHUpYGvD19SU2Nn85YGuE1IaEhPDss88C6oG8ePFiq83ASjrHwVQtJicnZ55/fh333186ZprJyQl8/vkkvL2rExT0AQBLljxLcnI8w4cv5PbtaBYsGIira0WSk2+TkHCT0aM/pVevCcU67/vvP8qJE9tp2bI3f//9K717TzLZQAfg1q0Irl49g69vHerUaVqsc5cWpkxpSHR0GAsXXqRGjUZa+GhxsEaphLLM4sWLbeJA14+Y9cTGxlrV91DUUhvWwtSMKSsrk88+U5+zNCgDd3cvJk5cl2vZP//s5PbtG4wercwwsbFXc60vKLonLykpiSxZMpSbN//l3Xf/NBg9C1xd3ahWrSHu7l7ZpbBN4edX12KHsr3488+tJCbG0L59f9zdvax+/Jkzd5OUFGeXz13mZwSFrdhZlpFSkpKSgqurKy4uOWMAW4yuS0sv6KJiriR21ar+LF4cZj+BrMiVK39x7doF7r33STIz07l9O5pjx37kn3920qVLEPfdN8jiY0kpGTfOj8TEWJYujcDXt06udYDNTCu2Ztq0xly7doGPPz5LrVpNbH4+W84IyryPQG8L9/f3RwiBv79/uVQCAN26dcPDw4M//vgDUL6Sw4cP06VLF8LCwsjKyrKaA91RekFnZWURGBiY7Ui2FsHBwVQ0VjRex61bpSdJMTExjlu3wpk3rzdjxvhQqZIfHTsOxMnJCVdXN/z86tK79wu8/PIPhVICmzcH8/bbXejadTgffhiKj0/uFpNCCIuVwMGDG9ixYxG3boWb39hOtG37BF26BFGhQvEL8Ok5ePAr5szpwZ07heveVlzKvGkISt6M4Ci4u7tTsWLF7Nr9oaGhdOzYkTZt2vDnn39a9VyOYpJzcnIiLCyM1NRU/P39iYiIsMqsR7/viBEjyMzMzLfez6/0mB5fe61lrgdslSq1jG6nIrLSkFJa1A8gKuos58//Qc+ezxXbrr9z51LOnj1IgwZt8uU9lBTDhn1sfqNCsmbNRJKS4vnzz5+4cuUE3t416NvXvCO/uJT5GYFGDr/88gvJycnZNZeEELRv35577rnH6ucqTGSPrZkzZw7u7u6Eh4fnivAparinPmx02LBh+Pj4UCFPg94KFTyyE4FKA1Wq1MbXtw4ff3yWDz88ncten5ycwOrVz7Ny5VhduYOKrF//kkXHfeqpWcyadZBWrfoAKsHs558/Yvfulbz66j3s3LmcqKjzzJrVnaVLhyGlZM+eVaxePTHfsTp1GkLv3pOoWtXfOh/aQWnXrh+1awfg4eHNtm0L+PVX+5TJLxczAg1F3ml4u3btOHLkiImti4cj9YJeunRprpabkBNCXFh58vqcbt26haura3b3u2rV6jNoUHCpcBTrmTPnvybXSZnFrl3Li3Tc6tUb5ipFsXTps/zxxzc0a/YAERGnSEtLIisrgzNn9lG7dgAxMRGsWzeFtLRkWrR4KFez+ocfnlQkGWxJRkYaqalJVKjgbrXS3HrH/Z07sQQFfYCrq31av5R5Z7GGhjVDiM05wUtL9VFLyczMYM+ez1izZiJCCObMOcxddxn1N5plyZJnCQs7TlDQB3h718DHpyaenlW4ePEwly4dJSIiFCmzuPfeJ2nb9nGzkUQlzUcfPcnRoz8wbdqmXEqrOMTFXSMi4hReXtXw92+Za53mLNawCitXrqRXr158++23JS2KXfHx8TG6vDD+Cr05yFSkUGmvYDt//uN8+GE/bt2KyLXc2dmFXr2eZ8MGSUhIJo0atbP4mDt2LObHH9/j9u2bAEyYsIYPPzxFmzaP0qhRO3x96+Dm5kGzZg+QkpLI3r2f4+tbh/bt++VSAllZWVy58jc3bzrWNXZ398LdvbJVgxCOHv2R4OCH+OWXRVY7piVoiqAccfHiRXbt2sXFiyo787XXXqN27dqsXbu2ZAWzMTVr1sy3rDD+CsMsYlOU5ryUb76ZyfHjWzl2bEuBZZ4LE+UDsH37Ar7++nWSk+MBcpW6zkuHDgMYO3YF7dqpll0JCbdYtmwEN2/+S1JSHDNmtOK111qa3L8kmDjxC9asiadjx4FWOV5mZgarV6tEPXf3yoSG7rVbJrXmIyhHjB49moceeogmTVTMc1RUFFFRUSUsle2ZPXs23333XXbRPX9//0L5K0yV7NZT2ivYxsdfB6BNm8eMJkb9888ukpNvU61aQzZseI2aNRszerR5J2bv3pOIj7+Ol1fV7GWXL//JDz/MIzCwK488MhWAbdsWkpQUT//+b2S3zdy+fSH7939BauodRo5cQt26zW2StOVI6MtsuLtXpn79VsyZ8wBduw5j4sQvbH5uTRGUI44ePZrLefv2228zb948m5W2dRSeeuopmjZtyjffqGbphXVaF2T2EUIwYsSIUh2e3K/f6/TqNdFkxvDSpc9mKwuAO3duWXTcxx7LH120Z89nHD68iatXz2Qrgu+/n0ViYhx9+kzJLnTn61uX7t1H8eSTb1KlSi0++OBkIT9V6cPDw5tly66SmppIZORpAgO7UqeOfXpfa6ahcoKxImmTJk1i7969ZV4RgGpw37VrVwCWLy9cFExBZh8pJdu2bSuWbCVNjRp30bBhWypV8jW6PiAgx0M5Y8YOxoxZUeRzPf30XHr1msi0aZuylz388GQqV65OaOhv2cseeug5JkxYQ2zsVbZu/ZjoaPOtSO3N3r1rmTWrG7/9tsYqx3NycqJKlVrUrHk3rVr14e2399Gv3wyrHNvsue1yFo0SpzxXYb106RKhoaHMmjWLqVOnFnr0HhwcjLu7u8n1pd1RbI7Jkzfw1lu/MWPGDlq1etiiqKGMjHQuXjzC1atncy338vJj9Oil1K6d06ioR4+x3L59g88/fyHfcbZu/Ygvv3yZ8+f/KP4HsTIxMZGcObOfGzesZ8fPyEhj1CgvRo70tGt5a800VE4w9bC6cuUKiYmJeHp62lki+7F69WrmzZvH3LlzWbhwYaH3DwoKIiIighkzjI/OSrOj2BJcXFxp1uyBQu2TkHCTN9/sYFGzeVXSeVSuDmZ62rZ9gjNn9rF48TOEh59k8OC5hZLDltx/fxABAfcXqghfQVy58hc7dy4jJeUOTk7OpKTcsZtfRJsRlBMKelg1a9asVDZVsZTAwEBq165NQkJCvsQyS3nttdf48ssvHSZb2t5kZmaQnp7KL78sYds288pUyiwaNWpP/fqWRPoI+vSZwpAh8/Kt6dFjNAMG/AeApKT4woptU6pVa0CzZt2pVs062c5RUefYvXslLVr0olu3EbzwQl0OHfraKsc2hzYjKCcEBwfnq8Kq599//7VqiWhHY9iwYaxfv573338ff39/OnToQKtWrXJVYLUER8qWtif6Kpu9e7/Ar78uxcnJmUcffbHAfXx96xAcbFnW+qpV4zlxYjuvvvozbds+lm99jx5jadv2cVxdTZvnygING7Zl9OhPqVq1Pr//vobk5Nt2S6rTFEE5wfAhZiwevqglF0oL9evXp0mTJkycqOrYREREUKdOHTN75ZCVlYWTk1O5LGCo75C1a9dyevd+AVfXitnXwxrUqHE39eu3NFmmIS0tmdjYqzRu7Fg9jjMy0tm1azmxsZE888x7xT5ejRp30avXXQC0bNmb5OQEo+YyW2BT05AQoo8Q4qwQ4oIQIp+BVQjxkhAiVAjxtxBitxCibFeUKmGCgoI4ceKEyaSgsur0DAkJYdeuXZw/f56KFStSv3797Aqs5vZr0KABQgicnZ0RQlC/fv0ybUYzxrvvHufRR6cxevQyRo1awrPPfmg1JQAwcuQi3n//L1q0eMjo+pkz2zNrVjeHaVOpx9nZhQ0bXmPLlvdJTIyz2nF//XUZH37Yj0uXjlhU5dUa2GxGIIRwBpYCvYAI4IgQYouUMtRgs+NAeyllkhDieWA+MNhWMmnAjBkzTEYjlEWnZ0hICGPGjCE1NRWAlJQUbt68yaFDh2jYsGGB+xkzpYWHh5dpM5oxGjRoTYMGrQu1z9GjP7J69QQ6dBjIqFFLinV+T88q3Lx5hZs3r+SKNipphBA88cRruLl5WKW5TljYCWJjr/LXXzs4cWIbrVr1oWXL3laQ1Dy2nBF0AC5IKS9JKdOAr4F+hhtIKX+TUup/af8FHKsXXRnknnvuoV69/PXcy6rTc+bMmdlKQI8lYbMFZROXl7BbY8TEXOXq1bOkp6cWuF1iYixxcddISblT7HNOmPA5/fvPJDCwa7GPZW2eeuptnnji1ezSHJGRZ4rcVGbnzmXMn/8YVarUxsenFocPbyIhwbLkveJiS0VQBzBsJxShW2aKMcB2G8qjAUyaNIl///2XESNG4O7uXua7thW1U1px15clNm2azbRpjdm//0uCg3vy8suBZs00nToNYenSSIYOnV/s8zdo0JrBg+fazV5eHObPf5Rx43yJjDxT6H3r1m1Oq1Z96NBhIBkZaZw+vRcpC1cdt6g4hLNYCPEs0B7obmL9eGA8lE3zhT2xRX9iR8ZUpzRTFUnN7We4vrxw9OgPXLt2gWPHtlC9ekOysjLNJjtVqFARX9/adpKw5EhJuUNERChCCBo2bIunpy9ubtc5fnwrX331Kq+++pPFx3rkkanZZTeee241iYlxeHgUfJ9aC1sqgkjA0AZRV7csF0KIh4CZQHcppdH5ppRyJbASVD8C64taPshr99Z36oKya+82FTbbvbvRMUeu/caOHUtKSkq+dWXVjGaKV1/9iX37vuChhyZk1wLSUISG7uWDDx6nRYtevPHGr8ybd5Tk5ASmTGnAnTsxhIWdyOVfCQ8/yZEjm+nX73WcnY0/fuPirhMffwMPj8rZRfhsjS1NQ0eAxkKIhkKICsAQYIvhBkKINsAKoK+Usgy183BMymOZiaCgIFauXIm/vz9CCOrWrcvChQvNRv7o96tdW41qnZ1VPHdZNqOZwte3Dv37v14oJbB//5esWvUcoaF7bShZyVOrVmMaNGhD7dqB2cvc3b0YOnQ+L7/8I3XrNs+1/fTpLfj22/+we/fKfMdKT09FSsnNm1dYtWo8P/30gc3l12MzRSClzAAmAb8Ap4GNUspTQojZQoi+us0+ACoB3wohTgghtpg4nIYVKKq9vLQTFBREWFgYWVlZhIeHM3XqVDZv3kyDBg1wcnKiQYMGRhXDsGHDiIyM1DVtz0BKSVhYWLlSAkXl9Om97N69kqios+Y3LsXUqtWEd9/9k5EjF+Uyl/XoMYb27fvmG9GPHr2Mhg3bUa9e/j7hL78cyLPPupKVlUH37qPo2PEpm8uvR2tVWY4w12axvGAsNFQIgZSy0L0K8lLWWlXmJSRkOkeP/kBQ0Ie0b9/X5HZnzuwnPPwUTZt2o25d+5RSLmmWLx/F2bMHGDlyCa1aPZy9PCsr06IM4YkT6xAbe5UVK6KpXLlqvvVaq0oNqxAcHFxua+XoWbx4McOGDctnItMPiK5cucKwYcMQQlClShUef/xxLl++XBKiOiQJCdFcu3aehISbBW4XGNiVXr0mlBslkJQUz969a7l27QJubqqAY2pqEl9//QZvvtmBzMyMfPskJsZx4sR2TpzYAcCyZZGsX5+Kl5efXWUHB4ka0rAP5bVWjp6QkBCmT59uNuJFvz4uLo6tW7fSuXNn3njjDXuI6PAMGjSbvn1n4ONTq6RFcRhu3QrnlVea4ebmwVtv/Z7tFxDCiT/++IYbNy5x6tQeDh/+HicnZzp0GIirqxv793/B7t0rqVu3Oa1b9wEKbudpSzTTkEa5oaDm8wVRr149i/0oZd00ZAnh4Sc5fnwrdeveQ7Nm3alYsVJJi2Rz3nyzI25uHjz33BqqV8/JWA8N/R1X14o0bNiWMWN8SEtT1W/d3SuTnHwbgG7dRvD882vNnsOWpiFtRqBRbiiqUzwiIsLKkpRupJRs3/4J7dv3y/XQ0/PDD/M4dGgDjRt3yh7plnXefHMPFSvm7+mh7+OQmZnBjBk7uHLlL/bsWYmHhzd16zYnPv4GEyZ8zq1b4SxfPppatZpY1A/a2miKQKPcYC5JzBROTk6EhISUGxNaQZw+vY+NG9/izJl9/PBDMJ9+GsXp0/tYu3YyU6Z8Tf36LRg7dgXVqjVgwIC37FZGuaQxpgQMcXZ2oWnTbjRt2o0+fSbnW3/7djQnT+4y63uxFZqzWKPcYMxZbgmZmZmMHz++3FUdNcbly8c4c2YfAD17jsfZ2YXr1y8QGRnKli3vAyqOfsiQeaWiJERJI6UkIeEWnp5VmDFjB8OHLygRObQZgUa5wVxPhoIo6/0aLCUgoCtDh86nUaP2NG/eA4DAwG707fsa3bqNJCMj3W7ZsKWZ6OgrODk589tvq9i0aRYDB77NU0+9U2LyaDMCjXKFPrnMWNtJc6WEy3rinSXcdVd7nnji1WwlAFCnTiDPPPMehw5tYMKEGuzdu7bkBCwF7N79GVOmNGDSpHqcPr2PihUrkZFhvj+GLdEUgUa5JG/pCX9/f9avX5+dVGaM8lRorij8++/fJCbG4u1ds6RFcWjc3HIGIIMGzebDD09z4cL/+N//visxmTTTkEa5xVTbSWOF6spb4l1RePnlzURGnjEaSaSRQ/v2/VixIjo7cWzz5mBOndqDl1dVu5aVMERTBBoaeSjviXfFoU6dQPMblXMqVqyUK7eiT58peHlVLXQXOGuiJZRpaFgRLaFMw1ZotYY0NDQ0NGyGpgg0NDQ0yjmaItDQ0NAo52iKQENDQ6OcoykCDQ0NjXKOpgg0NDQ0yjmaItDQ0NAo52iKQENDQ6OcU+oSyoQQ0UDhi8qbpypQMsXAC0aTq3A4qlzguLJpchUOR5ULCpbNX0pZzdiKUqcIbIUQ4qiprLuSRJOrcDiqXOC4smlyFQ5HlQuKLptmGtLQ0NAo52iKQENDQ6OcoymCHFaWtAAm0OQqHI4qFziubJpchcNR5YIiyqb5CDQ0NDTKOdqMQENDQ6OcU24UgRCiRknLYAwhhFdJy2AMIYR3SctgCiFElZKWwRhCCL+SlsEY2j1WeMrbNSvzikAIUUkIsRDYLoRYIYQYUNIyAQghPIUQS4FNQoihQgiH6O+nu14fA98LIV4UQpRc26Q8CCE8dNdshxBishCijW55id7Humu2ANgqhJgrhOhhdic7oN1jhae8XrMyrQiEEHWA9YAAHgX2AvNLVKgcZgOVgblAG+C9khUHdDfXr0Aa8DYqOWViiQqVm5cAP2AEUBFYASClzCopgYQQjYHNQCYwGogG3igpefKg3WOFp1xeszKtCIAUYJWUcqqU8hqwETghhGhZEsIIIVx0/ysBXsA8KeU+IBhwEkK8WRJyGRAPfCqlnCGlPADsBzJ1oyRREgIJISrq/rsAFYCvpJRnpJQfANG6kXhJzgoSgZVSyleklKHANiBKCFG3JITR7rHCo12zMqYIhBABQojlQgh3ACnlLeB3g03qAY2As3aWK1AI8TkwWwjhL6W8A1QBhurkjAPeB54SQtS0o1yNhRDT9e+llJdRo1s9SUATKWWitHN4mRCiiRAiBFgshGgvpcwAKgGdDDabAAwTQtS116xAd49lzyqllFeB7QabeACBUsoIe8hjIJd2jxVeNu2a6SgzikAIcT/KDDQeZUJACCGklIkGm1UAwqSUqXaUyw/4HDgJOAPzhBAPAa8DTwsh9LU//kYprcfsJNdQYA/wqhBivG6Zs+7HoKcRcMoe8uSRzR1l9vkLdV1eEEKMQf0oJwghqgJIKcOBL4FxdpLrMeB74BUhxAzdMpc818wX+w80tHus8LJp18yAMqMIgFsoG20TYJROw3+u5wEAAAvOSURBVOfVlm2AiwBCiHF2MhEFAklSyo9QN9l2YDDq5vseWAAgpUxD2Zmj7SATQATK1t4X9XD1kFJmCoX+vmgE/AkghOgnhPC3k2x3AYlSyvlSysXAKuBJwB34lNxJM+d0nwU7mBauA0Goe+w1IUQlKWWGEMLJ4NzN0P1Idc7GJjaWCbR7rCho18yAMqMIpJSngQtSygvATpTTJ6/tuCfgJ4TYhJr+pdhBtD8BNyFEO5354iAQjnqwvQPcJ4SYIIR4GOgG2MXEobOB7pdS/gH8o5MFwMnAzNICqCeE2AI8C2TYSbaTQAMhRDfdor+B3cB0YCbgK4R4WwjxNDAWSNbtZ1PTgpTyKHBGd4/tAJbrVgmDc98PVBNCbEYpjXRbyqRDu8cKj3bN8py4VP2hokYqm1inz5T2Ai4APfOs344arT1lA7mqAK5GZKmMiiKZa7CuH7BQ97oLMA34LxBkL7nybHOP7qZrYbCsGqqc7SFgsI2+ywpGljnp/k8GvjRY3hpYjYqYaAIMR0VS2OKa5ZPLxPcaB9xrsM4NpbSOAU/bQC5nE8tL+h4zKpeD3GOV87x3lN+l0WdYSV0zq194W/7pvriLwBpguoltnHX/XwR+1r1+BhVC+oCN5Hob+BdlsphiZP1DuofY47r3TYCjQEUbX68C5cqz7Wxgte51B93/kTaU7X2Umaeh7r3Is/5uYBMwQvfeD/gFqGnja1agXHnusbeA33Sv++j+97eRXPN1938VE+tL6h4rUK4Svsfe0l2D99ApZgyUVgleM2NyOZXkNbPZh7XBxeutexC4okaFu1FT7wp5thMGr2NRoVerbfXlokYOu1AjjNbAeaBLnm0qo0awf6Iil55CRQFUteH1MitXnu1dUSONO8AcUzemFeRyAV5GOVRXAaPNfOcXgbbA08BvQH0HkMvwHssAEoBPMJh5WVEuD93D4ArwDfCgie3seo9ZKlcJ3WM1ga+BL1BmlKHAH4Cfbr1+1mnva1agXCV6zWxxUCteOB+D108Bi/UPdOBD4DA6LZlnP2/gA9Q03eTDrxhyVTV43RH4zkCuF4F1QB0j+72Fimz6B+jkCHKhZkrVgC3AEeB+G32XhrI1QCnz4cBHQHu9LEb2ex5YhDK32Pq7LIxcVYHPgOM2kquy7r8L0BLwRM3wZgH1CtjP1vdYoeWy4z2ml60yMNRgeXVUhFCrEr5mFstlr2uWfT5bHrwYF84PWIKyAU8B6qMcNitQHvUKwEJgKzBGf+EM9ncCWtpALl+dXPtQkQbNdD+GFcDdBuf+Wf+Fo6IQDGXzcBC5nAz2r4DOtGEH2VoZrKuLMsW8BLgbfo95rplZG7S95DLYxgXbKIAqKAWzHTULqm2wLlD3wBpAntmHHe6xIsllp3vMULbBQDXdcv3Ivypq1F81z372vGYWy2WPa5b3z+GihoQQ96Eu3E1Umnc9lH17H+pH20v3/1+UyWcY5I4YkVJmSSn/trJcnYEfgdvAJKAGapZyCqW4OutCvbKADSgFhpQyM49sSQ4iV5ZufyGlTJNS7rCmXCZkqw4M0q+XKunqMGok3lW3TBr+173OdBS5DLbJkFIetKZcOt5DRajMB+7DoCSKlPIMamb0ANA4jzw2u8eKIxfY9h4zIltHckI/9VE2VYFIKWWuXr52vmYWywV2uWa5cDhFgIrE+FhK+Y7u4X8AcNclVYQAzwH9pJQfo2oHXRJCuNkhhjwCNft4Q6dkXFChhJmokfcTgL5X6HdAmLBPdcViyZX3AWdj2VzRxT8bsBul1O8RQkwRQgy2oTwOLZdQFS9dgWAp5W+ogZC3EGKqwWYhqO+4uRBilC680aHlsuU9ZqFsDYAo3fZPCCG62Eoea8ll499lPkq6amO+h7dudPGTwbp0VASHflSYLKW8LlTlyfUojZpqzQtnQq5/pZTnhBBVhBArUQkfjwohFqMyD3cCk4SqS7INuC2ljLeWTI4sVyFle0IIsVQIUVm3TRzK2ToDNVuJLQ9yGUNKmQD4AwN172NQvrARBnJFA5GoSLAZqEJk5VIuS2UDugMVhRCrgVexQ26Ho8plEnvYn4z9UYCNM8/yicB7eZY1B0KBF+0tF0rLd9e99kCFss7WvW+J+rInlRe5iijbZ8AHuvf1UZEnL5cXuUzIqg9JvR9l1vPUva+ICmd9Rve+tU6uaeVZLgtlC9K934KKPptQnuUqUOYSOamyy+5FhZ89YbDcKe9r3QPsSd3rAejiyAG3kpDLyD7Po7R5PidnWZermLK9YvDekb5LW8s1HXg273eCmp3rv6v1qGqT+nVLgF6615WwQSi0o8pVTNl6614/qX8Ylwe5ivRZ7HoyFanxBfAT0Bk15f4OXfKOwXYtDV5vA15DOZC/Aqo7gly69/ehMg+fdJTrZQ+5HFk2B5bLCzWoiUaNnL0N1hk+ROqhwgzDgJGoYmfHyJMlX9blspJsvcqTXMX6THY9mQqlHE+OtmwErAWa697X1P2I9wO1UdPz2yhbt00yNosgV02dXBt1D45+5U0uR5bN0eQCXAzkekz3ej3woe61Xs66qKiuH3XvewKvoBKOBpYXuRxZNkeVyyqfzaYHV1EEr2CQaAJUMnjtpPsBNta97wVMzHOMUQ4q12PlRS5Hls3B5foQlXGsNwXobcf+wGV0ykm37ClMlE0pD3I5smyOKpdVP6MNL14LVEjedWCDiW2aAttMrDNZ+EuTy35yObJsDiyXAJaheiUEoSK3XsDA54CKMd9sYn+rJ9A5slyOLJujymXtP1uGj95ElQYIRJUU7g2qyYJBSF8tdHW+hRAdha7ptz6ZQpPLIeRyZNkcVS4vVBTN81LlvnyIKmg2yGCb/wB3CSE6CSGaCyEeNJDLqgl0pUAuR5bNUeWyKjZTBFLKKOAbKWUsykb7hm55JkrLArQCKgghPkCXdafbRmpyOYZcjiybA8t1mxwHIaha98dRWd41ddukoXwVB1FVVkV5lcuRZXNUuayNTRPKpJTJupdfAClCiOzyBroRWzfgQSBGStlZqgw8m6PJVXZkc1S5UFUsWwshaknVZvBvVCOkWgBCiAdQLTbflVIGSil3l3O5HFk2R5XLetjLBgU8DPxP97ql7n9fCqikqMnleHI5smyOJBfqIfE+8LrBsgPoCtWh2nFaPRS6tMrlyLI5qlzW/LNbiQkp5S9ArBAiFXhPCFFVSrlFqgbkJYYmV9mRzZHkksps9SPwiBBikBCiAWoUmalbf1FKeUOTy/Flc1S5rIqdNKoTqujSFWBcSWs/Ta6yJ5sDy/UIqtzHGWxU4qMsyeXIsjmqXNb40ydA2BwhxCPAHillql1OaCGaXIXHUWVzYLlcUb5DezVmtwhHlQscVzZHlau42E0RaGhoaGg4Jo7Yj0BDQ0NDw45oikBDQ0OjnKMpAg0NDY1yjqYINDQ0NMo5miLQ0NDQKOdoikBDwwxCiEwhxAkhxCkhxF9CiJeFEAX+doQQDYQQQ+0lo4ZGcdAUgYaGeZKllK2llM1R/QweAd42s08DQFMEGqUCLY9AQ8MMQog7UspKBu8bAUeAqqjGJOsBT93qSVLKQ0KI/6J6IVwG1qHKZb8HPAC4AUullCvs9iE0NApAUwQaGmbIqwh0y+KAACAByJJSpgghGqMa5LTXVaR8RUr5uG778ajCZHOFEG6oksWDpJSX7fphNDSM4FLSAmholHJcgSVCiNaoImRNTGzXG2gphHhK994baIyaMWholCiaItDQKCQ601AmcAPlK7iOaoDjhKpKaXQ3YLJUFVI1NBwKzVmsoVEIhBDVgOXAEqnsqt5AlJQyCxgGOOs2TUC1OdTzC/C8rmgZQogmQghPNDQcAG1GoKFhHnchxAmUGSgD5Rz+WLduGbBJCDEc2AEk6pb/DWQKIf5CtdH8BBVJ9Keuc1o00N9eH0BDoyA0Z7GGhoZGOUczDWloaGiUczRFoKGhoVHO0RSBhoaGRjlHUwQaGhoa5RxNEWhoaGiUczRFoKGhoVHO0RSBhoaGRjlHUwQaGhoa5Zz/AxxSzuRtmTDrAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=3999, val={'agg_val_loss': 0.61, 'log': {'agg_val_loss': 0.61, 'agg_val_loss_p': 0.61, 'agg_val_loss_mse': 0.051, 'agg_val_loss_p_weighted': 0.12}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=4799, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.047, 'agg_val_loss_p_weighted': 0.11}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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srW0B8POrn60/QUXFHKqPQMWiBAcHM3jwYOLTK6OHhIQwePBgAAIDAy0pWr4TGnqWnTvn4+tbj9atB9GkSXcA/vprBbt2LSAhIZYXX+xr8vzZsy8AIKVU6xaoPBXqikDFokyYMEGvBHTEx8czYcIEC0lUcNy+fYmdO+fz33+bDNqrVGlMv37f5TgiSFUCKk+LuiJQsSg3b97MVXtxwsfnWfr2nUf58j4kJsYRHX0LW1t7PD1r4OlZg5Mnt/PFFy8RENCGrl0/NTuWuipQeRrUFUEeotq6c47uWZlyhPr4+BSwRAVPpUpVaN/+fRo16sLRo+sZNao6q1eP0x9/9Og+58/vIyzsbJZzw8PP8+mnjRk61I2337bnm2/eKEjRVYoZqiLII3S27pCQEKSUelt3ZmWgKgvDZ2WMUqVKERQUVMBSWZbSpcvj5laV0qUrEBFxiRMntlKhgi+ffbaXHj0+z9I/JuYOV68eISbmDikpSSQlxRsZVUUlZ6hJ5/IIPz8/oy82X19fbqRXrs7sGAXlpbd48eJi7xjNiKlnBeDp6clXX31VZJ9HbpLOhYae5f79MLy8ahlE/fz22yTWrv2Crl0nGlUCAAkJDwkPPwcIfHzqYGNjr5qGijn5mXROXRGYILcz95zYukuyYzQj5uz/q1evLrJKILfs3r2I6dPbc/jw7wbtlSpV4dlnXzGbP8jBoTRVqzahatXG2No6qEpA5alQncVGeJKQRh8fH6Oz3Iy27pLsGM2IqWdla2uLv7+/kTOKF6mpWuLionF3r05AQGsqVqxicFyXQ+jhw3ts3jwbe3sn2rQZYiFpVUoC6orACE8ycw8KCqJUqVIGbZlt3aYcoCXBMZqRoKAgHBwMc+dYW1szceJEPD09LSRVwZCY+IjevW14/31fXnllOBMm7KJRo85ER0cwenRNPvvseX3fR4/uExz8EZs3z8wyzqlTO1i//kv+++8P5s59g0WLBhTkbagUM1RFYIQnmbkHBgayePFiypRRcse7u7tnsf3nRFmUBAIDA/nss88oV64cQgh8fX1Zvnx5iTCR6QrOJycnkJycoG+3srLh1q0L3L59WR9JVbp0eTp0+JCXXx6UZZzjx//gl18mcOHCXxw+/BvHj/9RMDdQhNFqU4iPj7W0GIUS1TRkhJyYeYwRGBhIcHAwW7duZeHChXTu3DnLcYD+/fuTnJxMpUqVmD17domxiWfEysqK+/fvM2bMGGbMmEF4eDhbtmzBzc2NBg0aWFq8fCM2VvEk16jxgj5FBICTkwuzZp3D3t6J77/vw99/r+Hdd3+iT5+vjY5Tp047bG1LUbfuK1Su3AAHB7V4vTnu3r3J++/74urqzXfflSxTbE5QFYERgoKCGDRoEAkJj2dsOZm5jxw5kq1bt/L+++/TwoR7PzAwkNatW/Pw4UO8vLyymEhKCnXq1KFLly5YWVmxfv16Dhw4wOzZs+nfvz9Lly61tHj5hqdnLUaNWoujowvjxtXj9u3LBAUdxds7AE/PmgBotcmkpaViZWX637NBg440aNCxoMQu8tjZOSKEBiFUI4gxVEVgBN0MvW/fvqSmpuY4pFG3imjVqhXlypkuNu7m5oabm1veCVwEefXVV1m5ciXTp0/Xt7Vr147atWtbUKr8p0yZ8jz33P8ASEqKJyUlCVtbQ3PhyJG/kJoajBCC27evkJQUh7d3ABqNlSVELhZIKZk+/QTOzu6WFqVQoioCEwQGBvLiiy+i0WioWLEi1tbZP6ply5YRFRWV7Us+ODiY999/n7feeov58+fnlchFjlq1auHh4cGtW7do0aIF27dvt7RIBcKWLXP4559f6d17Fs8++wo2NvYArF8/jfv3w+je/XPKlCkPwIQJjYiPj2HJkmgcHZ31Y4SFnSMtLZVKlarw33+biYuLpmXLt9UCNiY4enQ9P/wwiJde6s+QIcV3xfmkqIrABFqtFmdnZxwcHLCyytlMzMXFBa1Wy8qVK7GxsdGHnGZm7NixREdHExYWlpciFynu3bvHoEGDGDNmDHZ2dpYWp8C4c+cav/8+mYSEWO7cuYqd3ePVwP79K7h16wKvvDJcrwg8PWuRmPiI1NQUg3EWLOjLtWtHmTLlMCtWfMCDBxH4+dXHysqGypXrF+g9FQXs7Erh6VmL8uV9LS1KoUQ1mJng2LFjlC5dmqZNm+bqvHv37jF8+HBmzJhhsk9UVBQAP/zww1PJWJQZOXIkbm5u/Prrr/o2KSVxcXEWlCr/uXLlMAkJsZQr58ULLxhmF+3ceSzvvPMtmzbN4OuvuxIRcYkvvjjEjBmnKFOmgkHfSpWq4OVVm1KlytKs2Vu8/PIgPvusCePHN+D+/VsFeUtFgubNe+Hv34jTp3cSHR1haXEKHeqKwAQpKcoM7MiRI1y7di3bjU5SSgYNGoStrS0DBw6kWrVqJvvOmzePuLg4s36E4o6TkxMVKlSgTJkySCnRarWULl0arVZLSkpKsd0pW7FiZV58sR8eHs+wYEFfXFw89KaKF198B4Dx4xty/fp/dOky3uQ4I0as0X+viyzas0eZWCQnq3mHjHH16r/cunWBuLhoXFxUX0FG1FxDZmjRogUHDx5k//79JqOAdDx8+JAyZcpgY2ODh4cHN2/exMfHh6CgoBIZHpoToqOj9cpw+vTpBAUFodVquX37tn4/RlEjp7mGIiOvM3KkP+XL+/Dtt4ahyufO7ePhw7sEBLQ28AuoPB0XLhxAyjQqV26Ivb2jpcXJNWquIQsxatQoFixYQJUqVbLta21tzYAByu7O7DKQ3rx5k3feeYdx48YZG6rE8McfjzdBTZs2jXnz5hEfH19klUBOiY2NYt++5Tz7bDv691+gb3/w4DYnT27HwaE0TZp0w9HRmYUL+/H++75cuLDf5HiJiY+Ijo4w2KCmYsi8eT1ZsECp9lYUlUB+oyoCM3Tt2pWhQ4fi7p79MtLBwYFdu3bpTUo6MqemSEpK4rfffuOnn35i48aNeS5zUSE4OJghQx7nz4mJiWHYsGHFPi13YmIct29fZu3aL7h9+wr163fQHzt2bBPTp7dn+/bv9G0PH97l7t2bxMU90LdJKXn3XQ9GjKhMaqqWb7/tyXvvebBnzw8kJyeQmqot0HsqCty7d5PIyGvqPgITqE/FBOvWraNVq1Z8++23OT4nJ6kp7t69y0cffQRg1qFc3MmcjhsUpdm7d+9iXadh166FTJrUHIBXXnnf4JiHxzMEBLTh2rUj/PnnMpKTE+nffwHz5l2nTp02+n5abTIPHkRw/344VlbWlC6tRBj99NNI+vYtxcmT2wruhooIY8Zson//BZw9u4ebN09bWpxCR7aKQAihEULUF0J0FEK8LISomNPBhRDthRAXhRBXhBBZ7CBCCB8hxF4hxHEhxCkhRAdj41iCGzdu8OeffzJv3jzCw8Oz7X/9+nXKly9v9FjG1BRWVla88sorvPnmm3Tq1CnP5C0o8qqwTmYlkBFTJrXigLW1LaVLl6dZs57Y2NgbmHxq1mzJhAk7uXcvlEWL+pOcnICrqxcVKvgZ7A+wtrZlwYIIvv76IgBDhy6jdevHqyt1RZAVJ6dyXL9+lN9/n8Tly/9YWpxCh0lnsRCiCjAWaANcBqIAe6A6EA8sAn6SUqaZON8KuAS0BcKAI0BPKeW5DH0WA8ellAuEELWALVJKP3MCF5SzOCwsjAYNGhAVFcXq1at56623zPafP38+w4YNw9raGq328T9icSo8k5eFdTw8PIiIMB/Gl7GoT1Ehp87ivXt/ZPHiAbRs2Zd3311ucGzZsvdJTHzIgAELsbW1z/G1df/LxTXiyhzR0REsXjyQ8uV9GTDA+CbNv//+lStXDtOkSTeqV29WwBI+PfnpLDYXPjoVWAAMkZm0RfqqoBfQB/jJxPmNgStSymvp56wBugDnMvSRgM4zWBYoNAHQXl5ejB49mr/++otKlSpl29/T05OOHTtSsWJF9uzZk23U0Nq1a4mPjycwMLDI/OOaS8+dW0Uwc+ZMo+ahjBTnOg22tvZ4e9fB17eeQbuUkjffDMLe3gmNRsN///3ByZPbqF+/A/XqvWp2zKLyd5QfxMc/4MSJLXh41NC33b59hblzu2Nr64CnZy3KlKlAnz6zLShl4SXfwkeFEN2B9lLKgek/9wGaSCmHZ+jjDuwAXABHoI2U8piRsQYDgwF8fHwamipzWBSQUiKEwN7enqSkJBISErC3z/msz5JoNBqjxeaFEKSlGV0YmiU4OJgJEyaYLFtZnFcEQUFtOHNmN+PGbaNu3Vf07aNH1+DWrYvMm3eDChV89WUru3WbRPfukwGIigph3bqpuLlVo3Pnj9m7dym7di3kxRffoV27Yfl0Z4WbhISHnD+/Dxsbe70/JTo6gvfe89D3KVOmAosW5bCOaCHE4uGjQohmQoheQoi3dZ8nF8eAnsByKaUX0AFYKYy49aWUi6WUjaSUjSpUqJBlkPxg69atzJkzh7Nnz2bbN7PdfObMmfj5+dG8efMsfXft2oWNjQ1JSUkEBgY+0QvUUuRVYR0pJZ9++inXr1/n+vXrrFq1qsTUadiyZQ6fftqE0NAzVKnS2CAVNYCdnRMAERGXAKhX71X69v2GevUeu8+io2+xd+8Sjh5dB8CZM7u5du0oy5YN58sv23Hw4OoCupvCg4NDaQ4dWs1PP43kzp2rgJKyA6Bp07cYOHAxXbqMJyLiEvfuhVpS1EJJTpzFK4FZQAvgufSPUa2SiXDAO8PPXultGRkA/AogpfwbxQdh3ONawKxZs4ZRo0Zx5MgRo7NgHTq7eca9A5MmTSIkJMToTDcxMRGtVkvHjh2NvgALM3lVWCc5OZmgoCCmTJmCEEJf1EcXplupUqVi41fJzJ0717h69V9ef308U6cepnbtVgbHP/poAwDz5r0JQLVqz9O+/QiqVm2s71OxYmUGDlxEx46jAWVncfv2I2na9C1On97JnTtXCuhuChd37lwlPPwcMTF3AKUQDYC7e3Vatx6Eo6Mzo0Y9wy+/fGpJMQslOUkx0QioldlPkAOOANWEEJVRFMBbKH6FjNwEWgPLhRA1URRBVC6vky+88sorrFixgn79+hEVFcWYMWOM9jNmN09ISMDDw4Nz585l6d+pUyeSkpJITU3NF7nzE92LeeDAgSQmJuLj48OXX375RC/sKVOmGKyGAgMDuX//PiNGjKBHjx7FUgkAdOr0ES1aBJpMfqbRWOPs7G52R7GzsxutWw82+Llv37lERFzipZf64eZmOr1JcSUq6gaVKzekadM38fNTku517fop//vfBNLSlP+10qUr4OZWVR9uq/KYnCiCM4AbkKtMTVJKrRBiOLAdsAJ+lFKeFUJ8ARyVUm4ERgM/CCE+RHEcv/MECidf6NWrF2fOnGHatGkkJyeb7GfKoRkREWF0h6wQAltbW7RaLbGxsTg4OGBjY5Nncuc3b7zxBr1790aj0XDjxo0nclDa2dnx6adZZ2V169Zl2LBhtGzZMi9ELZRUqOBLhQqmM2A6O1diwYLHMROxsVHcuHECR0cXqlQxvxB3d6+Ou3v1PJO1KHHjxnF27pxPo0Zd6NDhQ337mTO72bRpBs7ObnTuPI45cy5bUMrCi0nTkBBikxBiI4qp5pwQYrsQYqPuk5PBpZRbpJTVpZRVpJRB6W0T05UAUspzUsrmUsq6Usp6UsodeXFTecUXX3yBVqs1W0s3O7u5qbj7F154gbJly1JQeZPyCo1Gw4YNG3jttdf45ptv8nTsli1b8t1339GjR488Hbcocf78X3z5ZTt++UX5m7t06W+mTWvH2rWf6/tERl7n2LFNhIVlXXGWVFxdfWjdejB16rQzaA8NPcPp0zvZv38l27bl7d9rccLcimBWgUlRCLl69SpSSry9vc3WIwgKCjIaW9+iRQtatGjBsWPHSExMBJSNUgMGDGDu3LkcPXqU0qVLZ0lJUdixsrKiWbNmdOnShT///JMPPvgg12PExcVx5swZXFxcqF69ZM1gDx/+nVu3LtK4cVd9acqMJCXFc/r0Tr1fysXFnYCA1gZhpseP/8Hy5e/Ttu179O//vb791q2LnDq1Aze3atSr1z7/b6YQ4e/fkLS0ARw7toF//w9Ck1cAACAASURBVF1L48ZdWbt2Cnv3LsHOzhE7O8csoboqjzGpCKSU+wpSkMJG165dOXXqFCdOnKBu3bom++ls2RMmTDDYO7Bq1SoOHjyYpX9SUhJHjx7l448/5quvvso3+fMTV1dXhgwZgqenJ6mpqTku3KPj3LlzPP/88zRs2NBgRZSQkEBkZCS2trY5yu9UFDl0aDX//rsWD48aRhWBt3dt7OxK4eqqxFlUqfIcEybsMujj6upDgwad8PF51qD9+vVj/PTTCJo161niFAFASMhJ1q//khdf7Efjxl25evUId+/eZPTo9TRq1IV790IZPboGpUuXZ/LkA5YWt1CRrY9ACNEV+AqoCIj0j5RSFusUkZ6enpw6dYrevXszbNgwhg4darJvfHw8Xl5eTJ06ld69ewNQrlw5tm0znvNFCEGvXpn95kWDyMhIVq5cSatWrXjzzTefaAw7Ozuee+45atY0fBHu3LmTLl268NprrxXbhHyNG3c3qQQAXF29mT37olmHZqNGnWnUqHOWdnf3Z2jXbhj+/s/lmbxFhfj4GFxdvejceSw1a74IQPfun9O69WD8/RXfikZjza1bFylb9oG5oUokOXEWzwBek1Kez29hChNbtmxhwYIFvPfee5w8edJs3+PHj3Pw4EED2/arr76Kr6+v0RBSHx8fs6uMwkxISAgfffQRjRo1emJF8Oyzz/Lvv/9maS9dujQ+Pj64uro+rZiFlubNe2bbx9XVK0tbWloaGo35aG9//4b4+zd8YtmKMjt3LmDNmk/o3Hmsfgd25cr1qVy5PmfO7Ob48T9o1Oh1Zs06h719aQtLW/jIyYayOyVNCeho374969ev59133zXbb+LEiezZs4fXX3/doN1c3P3333/PSy+9xO+//57ncucn5cuX58MPP8Tb2xsPD4+nTj6XkVatWhESEsKyZcvyQNLiQXR0BG+/7cCwYY+Vg1abUqQ2IhYENjb2ODu74ejokuVYUFAbFi8eyD///IqnZ02jirakYy5qqGu6WeioEOIXIURPXVt6e7GncuXKdOnShWeffdZsPzc3N1q1aoWv7+OwwIiICOzt7fUvTSEE3t7efPjhh6SkpLBz50727dtX5FIoVK5cmYYNG7J582YiIiLMFuApyYSGnuHbb3sRFXXDoP3WrYuEhJwkMTFntZltbOxJSUkkJeVx0ZklS4YQGGjFn38aKkytNpmoqBCioopuCpYnpUOHD/j++3Bq127N6dOKT2XfvuXs3r2Y/v0XUK9eB154oY+FpSy8mFsRvJb+KYOSbbRdhrailz85F6SlpVG5cmUCAgLM7ioG0+Gh//77L927d+fgwYNUr14dKSULFy4kNDSUfv36Ubt2bfbu3ZttVtPCyIQJE7ItwGOO4OBgKlWqZHKTXnHgt98mcujQatasMaw7vGBBX8aNq8fNm6dyNI6jozM//RTPDz/c17elpirP3sbGMEdVaOgZRozwY/Zsw5VpyUHy2WeNmTatHampWn799VOWLBlCgwYdGTv2D+ztnVi7dio//jiMR4+iLS1socKcj2AnsF1Kea+ghCksJCQk6GfqS5cuxcvLi/bts0ZhBAcHM2jQIBISlNmabmYMEBqq5DP5888/ASXtckpKir72cceOHWnWrOilwo2Ojs5RAR5zPHjwgMjISOLiDGfFly5dolu3bvj7+7Nhw4anltWS1KnTllu3LmZJd1ypUlWSkuJxcMiZnVrZgOhg0DZs2MosqasB7O2dKF/eB2dntyeWuyij0VhRo0ZLrK1tSU5OoGXLvsTGRuHgUFbfZ9++ZURGXqNDhw9xcspqRiqpmKtHMBZ4BbABdgNbgX8tvfO3IOoRpKWlcePGDX7//XfGjh1Lp06d2LRpU5Z+fn5+Rp3Brq6uJCQk5Ene/sLGokWLTEZQ5TRbaGJiIjExMdja2uLi8vif8fz589SqVYtnnnmGCxcu5JXIBUpOs4+qPB1abbJBwr5ffvmUkye30r37FzRo0NHkeXv3/khycjzNm/fCyalcQYiaZ1ikHoGU8ivgKyFEaZTiNP2BhUKI88A2lNXCnScXq/Ci0Wjw9/enffv2XLp0yWSEj6kZ8L17WRdRujKMEyZMICgoiAYNGrB161aqV69epCqVOTg4ULFiRaKjow3MQ7lJPmdvb2809XblypU5efIkjo5Fv7h4TEwkTk7lsLLKSWCeeZYsGcL9++EMHbqcMmVKdp6cEye28eOP71Kr1ksMHfrYR3LnzlWuX/+PhIRYs+e3atU/v0UskuS6HkF6JbFXgXZSyley65/XFFSFspxgakWQHQ4ODrz99tssWrSIXr16FUkn69dff82YMWNIS0vD19fXZAGekoZuRfDOO04kJyewdOmDHJuBTDFypD+RkdeZO/cKlSpVYcmSoTx4EEHfvt9QoYJf3gheRLh69QifftoYP7/6TJv2n749KiqE2NgoKlasTOnSrqSmarl7NwQ7O8diYyorDPUIPNNrErREyT10xBJKoKC4efMmI0eOZN68eWb7mQoPzS4OPiEhgd9++41Ro0bRsaPpZWxh5vXXX9c71W/cuJErJbBq1SoGDhzI3r1781FCy5GUFE9SUhxSpjF9uqFvacKE53j/fV/u38++DraOfv2+56OPNlK2rFIp7+zZPRw7thGt1jAZYkpKEh9//Cwff1zn6W+ikOLrW4/p008SFHTEoL1CBV+qVGnEhg3T6Nu3FJs2zeCDD6pmeRbh4ec5cWJbrp5/SSAnO4u/At5EKTGpy50sgb/yUS6LEhoayrx583juued44403EEIYLVcZGBjIlStXWLhwIXfu3NGnlwCyLcMYHR3N7NlFt2yej48PoaGhODg4ZN85E/v372fp0qU0atSIVq0e5+NPTExkypQpaDQapkyZkpfiFih2dqX47rtQhg/3JjLyusGx+/fDePDgNkbqL5kkc4nKwYOXEBcXjYuLp0G7lZUNoaGngceV8Iobf//9Cxcu/EXz5r2oVeulLMeF0JCcnEBMzB0qVqyMo6OhH2DDhmns37+Sd9/9iZYt86q+VtEnJwbM14FnpJRJ+S1MYcHPz4+5c+cSFhaGu7s79erV4/jx40b7btmyhdu3b3Pw4MEsUUDmyjDmtqpXYWH8+PGsW7eOKVOm0L179ycao2/fvjRq1EgfQaUjLS2NL7/8Ent7+yKtCECpEfD115eyOCSnTTtOSkoSZctWfOKxa9Y0nqZbo9EwffqJLGGlxYmLF/ezZ88PVK7c0EAR7Ny5gJiYSF56qT/duk3Czq4UfftmzTbq4/Msdeq0pUyZgql0WFTIiSK4hhI5VGIUgaenJyNHjuTChQusWLHCILIlMwEBAaSmpuLpaTg7CwwMJDAwUF/BLHME0eeff87ly5eRUhapDJyhoaFcuHBBHzL7JDRr1sxo6KydnR1Tp04tMjWczWFlZY27e9YCMU9irz57di+3b18hIKA1lSr5m+3r61s0U5fklBYt+uDoWI7t27/l3Lm9jBixBoDduxcTEnKChg1fw97edLBBp04f0anTRwUlbpHBXPjotygmIE+gLkoIqV4ZSClHFISAmSlMzuKcoivSnjE7aXh4OGPHjgUoUs7WO3fucO/ePSpVqsSECRPQarUsWbLE0mIVGvbsgd9++4nduxfx0kv9efnlgU895ty5PTh8+HdGjPiFJk26sWPHfOzsHEtsBExs7F2GDKmAra0DS5fGYG1tw+7di7l/P5y2bd8tNs7hzOSns9icIuhrblAp5U9PLtKTUxCKIDQ0lEuXLuHr60vVqlXzZMxLly4xdepUVq5cSbVq1QgNDdXXKYCit89ASqlPgpaammo2IVpmRdi7d28aN25M8+bNi12CuT174JtvPmHjxuk4OrrQqNHrdOs2UR/ds2TJUDQaK95559tsk8jp2LlzIdevH+Pllwfi6VmL/v3LYGfnyPLlj7L03bx5Ng8eRNC587hiHWp66tQOHBzKULlyQ6ytH1f4i4y8zi+/TCA8/DxabTK1a79Mv37fZjk/J0n8ChsW2UcAxACHpJQlbnvMxo0bGT58OO+++y7z58832U+X+Csnf1DJycmsXLkSgMuXs5bL06VoKCqKQAjBwoULsbGxMZuGI7NpLCQkhGnTppGWlsaBAwdo3ry5Qf8jR46QkJBA06ZNi1QJz4y8+upI6tfvwLff9mLfvmW0bNmXChX8SEtLY/fuRQD06/ddjsdr2/bxBr7ExEe0azfc5N/c3r1LuHXrAq1aDSiWiuDSpUM8fHiPqlWbGPWzpKamcOjQav3PmUt37tu3nCVLhvDCC28zePAP+S5vUcGcIugNfC+EiAcOAQdRFMOZApHMQgQHBzN58mQAfv75Z7Zt24avr6/RUMf9+/fTpk0bOnbsyPr1682O6+/vz5IlS3jw4AFjxowx+vIMCQnBz8+vUJuJZs2aRVRUFCNGjGDIkCHZ9p8wYUKW6CmdAn3jjTeYMWOGwb126NCBu3fvEhkZSYUKRdOh5+zshrOzG++8M49Hj+4bFJMfMGAhaWmpTxzRY2/vZHSGq6NDh1EkJMQU2wLta9dO4eTJbYwdu8UgmurKlX+xsrLGza0a7723Ent7J9zcqmZJz2FtbYtWm0xysumIPmMU1ygsHdluKBNC+AHN0j9NAR+UfQQd8ls4Y+SnaciYYxeUnbDGnKNr166lW7dudO3alf/7v//L8XWy24hWmM1EAQEBnD17ljNnzlC7du1s+2s0GrMrhsz32qlTJ2JjY1m7di3lyxe9l1l+pJhITk4kPj4GGxs7HB2d83bwIsbvv0/m+vVjBAS0ISkpnoCAl6latQl9+5YiOTmB5cvjsLMrZfJ8rTaZtLQ0bGzscvxiDw4ew7//rmXatOOUKmW5elwW3VAmpbwB/AccB04AkUDug8eLAMZmr4DJqKGuXbuSkJDA0qVLc3UdYxvRMqJLR5FXef7zkjFjxjB9+nTc3d3Zs2cPa9euzZI8LiPZhclmzlq6efNm/vrrryKpBHT89tskNm+eTXJyYvadc8DWrXN59103NmyYRnx8LFFRITx6dD/7E4sh3btPZsyYTdy/H8Yvv4zn3Lk/AfDzq4+vbz1sbOzMnm9tbYutrX2uZvebN88iMvIaFy4U261TZp3F41FWABWAi8A/6Z9TUspUoycVAPm5IjA1exVC5EkhkB07dtC7d2969OhBs2bNePvtt7Mdt1SpUvTt25ctW7YYRB0VhtVC1apVuXr1KhcvXjQZAmtqlZWRvHq+hYEdO1Jo3155Gc2de5WbN08TFnaWnTvnU716M1q06I29vRO1a7fKZqSMY37P//3f54wc+Su7di3i77/X0LhxVz78MOsq9Natizx4cBsvr1rFOlb+xImtnDv3J/XqvZplY9nJk9vZvXsRjo4uNG8eSEDAy091rfDwC8TE3KFq1SbY2loutNlSzuK3gThgE4qP4LCUMubJxSj8+Pj4mCwtmReMGjWKqKgo5s+fzx9//MGMGTOYM2cO4eGmt7vHx8ezcOFCvYLKmOra0sqgTZs2BAQEmI3718k4fvx4k0n6iurmOmOkpaXy1lvTSEiI5eTJbfz443tUqODH/fthhIaeYdaszri4eDB/fs5THDRq9Dp167anYkV/7t0L5fz5fbz11jSjfVevHsfRo+v58MP/o3Hj4lc/SqtNwcrKmnr1Xs2y41rH+vVBXLiwH4AKFfwMFMH9+7dYsWIkjo4uDBq0OEfX9PSsgYdHDfbvBz8/KEZ/rnpMmoaklDWAtsBR4CVgnRDiXyHED0KIfgUkX4ESFBSUJWWCjY0N9evXJzk5OUv/Tz75hDfeeIPTp09nO3ZwcLBBtFBISAgTJ06kc+fOZs1EQJZVSm6KwOQlUkp27NjBgQMH9IV21q9fn+2LPDAw0GQRmsxZS9u2bUvZsmU5duxYnspeUNja2tO581jefDMId/fqNGjQCV/fesyYcZrRo9dRv35HatfO3Qy1XDlPKlWqghCCF17owzffXMsSDaPD2zuAGjVaUqpU8fQljBtXl169NISGnjXZp379Tnh41KB580Bq1TJceaWmpnD48O+cPLkt22ulpcGJE5CYCNu2wYIFUISzwpglR9lHhRDWQEOgJTAEqCyltMpn2YyS3/sIgoODGT9+PKGhofj4+HD79m2SkpKIiYmhTJkyBv369+9PcnIybm5uzJo1y+wM3ZSDWLeZ7OOPP+bWrVs5ltMS5pTk5GTs7OywsbExqhhNMXPmTD755BNSUw0tiq6urnzzzTcGz61Zs2b8/fffRlN2FAUyO4sfPLjDu++64eBQhiVLootc7HphY/ToGty6dZGZM8/q8wqVKVOecePqU6mSP1On/mv2/OTkBI4d24SjowvPPtvWbN8dO2DZMhBiL1K2QEmwAKtXmz0t37CIaUgI0RklUqg5UBs4ixJCOhrFVFTs0G180imBoKAgQkJC0Gq1BjHtOru37mV4+/btbM01pswiISEh1K5dm9DQUN588002bdpEUtLjbB5CCKN+C0uYU1JSUmjTpo3e0SalRKvVotFosLIyPS+YPXt2FiUA4OTklOV5/fHHHwghKF366VI3W4q4uFiuXr2Io6MLbm5VefjwLpUrN8TR0UVVAnnA7NkXSEtLIyrqBh98UAVXV28mTNjFo0f3clRoxtbWgaZN3zB5/NIl2LwZevaE7duVNikfryqK6J9ltpj7y3wHiAI+BtyklC9IKcdJKTdIKaMKRLoCRPdyDwkJMSjI7uvry8SJEw1MRsaii7Iz15h7cR84cIA1a9bwzDPPGBRlKVu2LEOHDjWa6jqnRWDyEkdHR3bu3MmOHTsApdymra2t/mdTRJqIpzSmHF1cXHB2djarWAozV64c59NPG7No0QAAPD1rMmbMJtzcqvHjj8OyrYGtkj0ajYayZSvh5lYNN7dqVKpUhUWLIpk0SfELpKZqOXVqJ0eOrCMu7kGuxl69Go4cgS++gFu3wMEhFXi88tZq8/JOCg/mfARdpZSzAWcppYEdQAhhvFZhJoQQ7YUQF4UQV4QQ40z0eUMIcU4IcVYI8XOupM9DcvNyf5KavcZCRu3s7OjTpw+Ojo4EBgYybdo07t9/HBYYFxdH8+bNWbx4MV5eXggh8Pb2LjR7DGxsbNBoNFkK2WfGlBIsTk5iHba29lSu3BBPzxrEx8fSu7cNw4Z5sWvXAnbunE+vXhomTsw/k9e6dUH071+GjRu/yrdrFAbs7R2ZM+cSn366G43GijJlKuDsrKSKP3AgmGnT2vH11125ePFglnP//vtXdu5cQFKS8v+ekgIxMXDnDugqpD5I1x8dOljRv78G3Qb4hATFd1DcyMla9TMhhN67JYT4GOiS3UlCCCvge5RqZrWAnunVzTL2qQZ8AjSXUtYGPsiF7HmKuZe7Lu0BKCsHU0t8cy+2wMBAFi9ejK+vL0IIfH19Wbp0KStWrKBx48aUKlUqi81fq9UyYsQIxo0bR1hYGFJKfVbTgiQ4OBg/Pz80Go3B3oZ169aRmppK586dzZ5vqoCPsVXN999/T+/evTl8+HDe3UABUrNmE7788igDBy7CwaE0Qgjs7Z3o02cOrVopCejyc4dqWloqCQkPSUoyvrdDSrhyBaKj802EfGXWrC7MnPma2T0aGVNPGEtDsWrVaH788T0ePrwLwHffwbBhoMudWLkyCAEaDbz8MrRtC8OHg136FoWkYpiHOSc7i8sDm4ExQHugBtAz8yrByHlNgcm6SmZCiE8ApJTTMvSZAVySUuY4fWV+OYtNOXOtra3RarWcOXOGEydOmIyJf9rdwNntwNVhZ2fH0qVLC0wZGNsHoNFoWLFiRY5luHLlCjNmzGDjxo1ERkaa3QvRs2dP1qxZw88//0zPnj3z7D4KiszOYq02xSApWlpaGmlpqQZteUlSUjypqSnY2pbSX0OrhTNnwN1dsX/v2qW86OrUgREjoCiViO7d25bU1BRWrkzSF6+/efM0W7bMwc+vHu3bZ58UedWqj0hMfEj37l8AlXjvPUVB6vjkE+VnIaB8+Yvcvn2ZnTsXcO7czyQnl+X776GcBereW2ofAQBSyrvpjuNdwDGgu8yZodMTCM3wcxjQJFOf6ukCHgSsUBRH9nFd+UBQUJDRugEBAQHpW9JtTO48trKyeiIlEB4eztmzZ3F3dze5hyEzSUlJBZqczlSuoNzIcOjQIX744Qf69OnDihUrzPYdOnQoHTp04Pnnn39imQsTmV/4Go0mX53GxtIr/PgjZEyVZZ3+X3/qFJw7B889l2/i5DljxmxCq03GysqGJUuGcPjw//H88z3Yt28ZsbEdc6QIAgNnMWMGzJwJTZooL307O2Wm7+ICAQHKagBgwYJp/PWXkmhZo4kCyvIUpTgKLeaihh6i1CPQYQv4A92FEFJKmRdJN6yBaij7FLyAv4QQdaSUBh4eIcRgYDDkn11Z91LLXDcg48vOlPkoLS3tiV7MGzZsYNiwYfTp04eJEyfy/vvvm92Bm50c+YE5k9nixYtZt24dgwcP5n//+5/JMfz9/XnnnXdyFA764osvPrGshYHt239i0aKxtGzZl169HtvpL1w4QEzMHQICWhdIvqCrV+Hvv5UX3N69ysvfxkb5fPgh/PWX0h4bm++i5Cl16z4ulZ6cnMijR/coW9aNwYOXUq6cp5kzHxMeruwPALieXkl0wADF/u/n91gJALi6euPtXQc/v/pcvlyB27fh9Om/sbKqgJtb3qSoLwyYVARSyqcNlAoHvDP87JXelpEwlB3LKcB1IcQlFMVgUJlaSrkYWAyKaegp5TJJ9erV+d///keTJk146623shzP653H/v7+tGnThk2bNrFy5Upef/11jh8/zs2bN/X5/o3tFShIJ6upe9ZoNKxfv55t27bRunVrs2O0aNEiS1nK4kpcXAwxMXf0jkgdK1aM5Pr1/3B2dufVV0fSufPYPL92WhpcvPgPW7b8zOnTX5GU9DjS7e23FXu3lIpS0FVeffgwz8UoMHr1mkGvXjMoXdoVKyvDV1nPnoof5rvvQnF19TI4dvhwMsq8VnketrbKqsjYBvk33pjCG28oZVOnTIHbt+Gnnz4lMbENr7/+Sd7flIUwuUZNzzpqEqHgZabLEaCaEKKyEMIWeAvYmKnPepTVgM4XUR2lNGa+Y8wBeurUKebOnct2XQBxJnLj9MwJ7du3Z+fOnYwcORIHBweaNm3KjRs3uHnzJnZ2dnh4eGS5nq2tbYGGjppKkJeamsrevXv56KOP6NatW55d7/Tp0/zyyy+cO3cuz8YsSDp2HMT8+bfo0eMLg/aaNV8C4MGDCK5dy/td02lp8OWXEBT0HEePjiMpyQF/f6hVC9q3hzZtwMrqsVlIFw9flBRBcnICO3Z8z19/KeZFZ+dKODtXyqIEALy8auPo6KJ3FicnK89n5UrYtu0GAJUqKc7ihg2NK4HM6CLIfXya53j1UVQw5yOYKYTQABtQfANRgD1QFWgFtAYmoczqsyCl1AohhgPbUez/P0opzwohvgCOSik3ph9rJ4Q4B6QCY6SU9/Lm1kxjrFjK4MGDmThxIrNnz6ZmzZr6voGBgezatYvVq1frzT/9+vUjJSUlRzuKc8LkyZOZPHmy3lns5eWlr17Wtm1bDhw4oP+5U6dOBRo1pLtW3759s2wKS0xM5LfffmPmzJlmx3j06BGJiYk4OTllW484ODiYr776imnTplGrVi2zfQsjdnYOuLhkTc7bp89sOnYcxbVrx/K0lGJCgjKr3bULzp4F5V/Ng7JlExk3zt7kBqiiqAji42NYtmw4ZctWomXLt/XtERGXCAs7i5tbdby9ldToX311Mt1Rr8z8z5yB06eVjzLfTKJLl32UKtWNDP/uWdDVITh1aif373sBNXF1DaBlS9Ob0ooi5kxDPdLDPQOB/oA7EA+cB7YAQVJKs3l2pZRb0vtmbJuY4XsJjEr/FBim9gwsWLCAGzduGLTHxMQQGRmpT7UcGBjIhQsXuHz5MnPmzMHd3f2p5dGVzTMWVhgZGUliYiIbN27E09MTT8+Cn4m0bNnS6M5gyJm/Ys6cOUycOJEJEyYwdepUs33r1q1Ljx49TGYzLcqUK+eZpzPJmBgYN075qvvTGTZMUQw1aphWAlA0FYG1tR1t276HnZ0S5nTvXigbNkxn506limDHjqPp3XsWABqNFba2jzclZk4HVq+eHa1amV/JarUp9O9fhrJlK+Lq6sP16z2Bmly7diHvbqqQYDZqSEp5Dij47Gb5TG42hC1fvhytVmtQk2DKlCl5IseFCxeoX78+lStXNmkKWb58Obdu3aJly5YWS7tgrLSmDmdnZ/78809eeuklk31sbW1xdXXNkfw9e/YskmGjOvbsWc3ff++ladM3CQgw9J1otSmA1M9Sn5RLl8DZGX7//fHGJymhdeuchxc6OSlfi5IicHJyoX//7zO0CL0SaNSoC97edQz6SwnHjkGNGsqKAKBaNbh8GTJVSDXKo0f3SElJJDk5gfr1OxIb605EBNSu/TopKUnZ1j4oSmQbPlocMeUAdXNzY+/evdSoUUM/08/PAikODg4kJiZy/vx5Wrduzbx58/RVv3r27Mm1a9fYsGED9evXzzcZcoKXlxedOnVix44dBsnmbGxsiI6OZs2aNWYVwdixYxk7Nu+do4WR06cPsGfPD/j4PGugCFauHM2WLV/j6VmLIUOWUq3ak4XHnjgBX32lrACkVKKApkxRdsf6+yt9Hj2KZseO74mOvsWAAcZrbhfFFUFmypXz5O235+LpWYuAgNZZwnKPHoWvv1bi78PClAiqzz6Du3fBLQfWOWdnN5YvjyM+PgYXF3fS0uDXX+Gff7Zz4UIHvv/eqFW8SFIis2CZcoDev3+fl19+mQ0bNpg8NyUlhfDwcKOlK3OLt7c38fHx1K1blz179hgkmzt+/Dj//vsv0elbQM+fq3CnWwAAIABJREFUP8+kSZNYtWrVU183t1SvXp1Nmzbx448/GuyMHjduHEOHDs3TkM+0tDQSEhL0PpGiRps2gQwcuChLsRRd7dzw8HMcOrQm1+NGRiobw9akn6rbyfP66+DrC1WrPg571GqTWLv2C3bvXkRU1A2j4xVFRZCSksTduzeJjVWcvEIIXn11JM8+29bo3oyTJ5WvYenv65o1FcUZFraOCRMasXZt9it7O7tSuLgok0KdszgtzZ6EhNhilTeqRK4IdA7QkSNHcu/eY990UlISGo2Gq1ev6ttWrVrFvn376N27Ny+++CJXrlyhVq1aPPPMM1y48HS2Qo1Gg4ODA8uXLycqKopq1R4XOV++fDnR0dGsXr2aGjVq4OjoyBdffMFrr71G7969n+q6T0pBpLdYtGgR7733HkOHDmXBggX6dl1m2MJWpS0ztWs3o0KFrPslevT4nJo1X+Sff36levWmuRpz/36YP18xBz14oOxqHT8eIiKgQYOs/Z2d3Rgy5EecnMqZLGJfqpSiOBISFAVjXQTeBCEhJ/nssyZUqfKcQbpprTYZITRZoofOnzc8v0665Sg+Ppbr14/h5ZV9zW0dqalarlz5E2hD48b9+OCD4cWqmH22KwIhxFohRMf0CKJiQ2BgIE46Q2kG0tLS+O233/Q/HzhwgCVLluht+AkJCbi7u+eJk1hHvXr1aNu2rYEN/fnnn8fd3Z0pU6bw1VdfUbNmTSZPnmwRJRAVFcW5c+e4e/fuE50/depUmjZtyqZNm7Lta29vj729vcEMz1Rm2MJWz9kcGo0Vzz7blsGDf6Bp0zdzfF5aGqxbp3yv8wd07QqentCokeHmp4y88EJv6tfvgL191r9xRZ7HfoJHj3IsjkURQoOrqzdlyz626zx8eI++fUvRu7cNu3f/oG+PiVGyh9raQqtWyr02bqwcq1+/A1OnHuHNN82HYR89upF583py6NAadu9exMGDysQkLi61WCkByNmKYD7QD5gnhPgNWCalvJi/YuU/9+7dM5nSIaPTuFevXmi1WqZMmcKwYcPw8fFh5syZeTYbHTRoEOHh4QQHBxs4pAHKlSvH2LFjKV++PNWrV2fSpEl5cs3csnLlSkaPHs2HH37I119/rW9PSkoiKioKa2tr3MwYXS9fvsw///xjkFnVFP369aNfP8MCeCNHjjSZGbawrQpOnz5AWFg01ao9/1Q1g8+cgbVrlQRoERFQvjx06KDsBM4rS1zp0sp4Dx8qq43CTpUqjfjuO8OAjvv3w0lLUyLaMtYT1i3Wq1eHQYOUj+7dXaZMhRz9bs6c2cXff6+hcuUGlC/vCyh2tLS0IpScKYdkO8uXUu6SUgYCDYAbwC4hxCEhRD8hRP5kzioAwsJMO3oy7twNDQ1l9erVRERE5MtsdOvWrWzdujXLJrGdO3eyatUqevTowUcffZQn13pSypQpQ82aNfHw8DBo37dvH97e3vTp08fs+ZMmTeLQoUO8+qrxGrPmCA4ONjDfZaQgU23klBUrPmfWrM7cuHHCoP3KlcNMmtScxYsHZtl1bIxVqxTTxpb04OtXX1U+b76ZczPOf/9tZsWKD4mOjjB6vCj6CTLj6VmTpk3f4q23ptG8+eNJgS4Ir2ZNRQGYmsDHxkbx0Ue1WL48a46itm3f4913f6JBg040bfoGX3yh1N2IjIxi2rRXOHduX57fj6XIkblHCOGKUqhmIHAc+AZFMezMN8nymXLlytGhQweDymM6hgwZov/+SYrQ5IZp05RkrN9++61B+4YNG5gwYQIHDyr51JOSkjh27BhHjhzJMkZ+M3DgQM6dO5dFIZUuXRoPDw/KZZOK0d/fn6ZNm1KxYtaUwNnxpMV+LEWtWs9Tv35HypatZNAeHx/DpUuH2Lt3Kdu3f2d2jJAQ5WNnp7z0nZ0V80Zu2b79O7Zunasv5J4ZXeXVoqIIwsKUiJ+MWFvbMGLEarp0Gac3J965A//9pxw3tlksNjaK//u/L9iyZQ6XLv1NePh5tm//ltmz/5ce4qvg6VmDli3fxtNTGUS3FzIhQXLq1A5u3zYdVl3UyHZuIYRYBzwDrARek1Lqphe/CCHyr3hwPuPt7c0ff/zB/PnzGT58OFJKfcrpjAnUzJWYzAs6d+7M+PHjs0Q9tGvXjgcPHuDo+P/tnXd4FFXbh++TQkggPaEGEjoCgnQBAQsgohRBBIl0REQ6IijySRFUREGKAoJSjIiKiCigAgoivFIUUYrUYAgtkEJIgZTz/XF2k02yLcnuZpPMfV25sjszO/vb2dl55jznKeVITEwkPj6eFi1aULVqVbOjGUfSpk0boqNzl48qHIcOHeKVV16hWbNmzJ8/32KzH2dj6NA5GGvIFhbWjBo1mnPhwhE8PY3Xa9y4EQ4ezA5t7NBBzQdAdsRKfujQYRB16txP9er3Gl2vHxEUh8JzcXHwyisZSHmdxx5bQrt280hMzJ4A1nPihAqvvXsXKlSAWrXy7is5OYGvvnqdihVrsWDBCebM+R8zZtzP4cPf8O+/+2jY0LjV1QcaurkFMXXqNqpXb2LjT1l0WDPIXCyl/NnYClO1rYsTQ4YM4cUXX6Rs2bIkJiaSnJyco12kj48PCQkJeV6X259fUHx9fY1e0Hr06MHu3bsZMWIECQkJDB06lGbNmlGxYkUje7Ed9ojOWb9+PVFRUQwYMICwsDCz2yYkJLBr166s56ZyPgIDA51ufsAcPj5BzJtn+r7p7l3Yvl2VQr58WS3r0KFwvvt27QaYXV+cXEO//w7p6a5AZc6cqcjPP0NyMrz/PgQbuPu//14dy5YtYcQINVmcGx+fYJ588jV8fSvi5laG2rVb8+KLn5KZmUFYmMrZuXr1LIcPf0Pt2vdTv77K0tOPCNLSynDfffl3czoz1hgCfyFE71zLEoC/pZTGm9EWA+Li4rh+/TqBgYHcvHkTX19fXF1d8fHJebc2aNAgPvjggxwlFsqWLcvs2bNz77JA7N27l5MnT/LQQw/lKasQEBBA3bp1CQkJwd/fnyNHbF+szBBTNZjWrl3L+fPnWbhwId27d8/3flevXs2ePXto27atRUPQtGlTfvrpp6xEPlN9It5///1863AEd+/eQcoy+Y4qOXZMGQE3NxXOWbWq8btZW+LshiA2VhWKa9tWHR89UVFj0J8Ox46ponGRkSqD+O+/1XzA0KHZrq/ceHn5ZlUU1fPAAzlvKk6e3EtExBTatRuQxxCkpmY3rikpWGMIhgNtAP2o4EFUEboaQojZUsr1dtJmV7755huGDRvG0KFD+fjjj01ut3jxYlq3bs1LL73E1atXcXd3Z9WqVTa7G12wYAFbt27lrbfeypF9e/v2bfr06cOAAQOoXdsxdc9NzYfs27ePlJSUHFnFoBrrPPHEEwQHB5ttYP/ss8/Stm1bQkNDLWoIDAykU6dOWc+t6RPhTAweXIfr16NYsuQiQUHZcxhpaXfYs2cNmZnpdOnyYtbydesgKQn09xm9e0O1aiob1hYXmtOnD5CUFEeTJo/i4uKaY52zG4JfflG9A/TR3K6u6jglJ2d/jmPHYP9+5RK67z6VYV2njmowY4ktW97if//7gp49X+H++/vmWFe1an0efXRsjgxwV9fsBjY7dqzG27tsHgNSXLHGELgD90gprwEIISoC61Ddxvai5g6KHV5eXtStWzcrEiY9PZ2+ffvi7e2do4uW3lVy7do1goKCeOmll2x6EdIXuZs2bRoffvhh1kVu165d9OrVi+7du/Ptt7mrd9sHU/741NRUzpw5Y9QtdfTo0TzRRLkZMWJEgTVlZGQwYMAAwsPDOXHiBG3btrVJxVd7oe8f4eaWsw6NlJmsXj0KgIoVa9OkyaPExCh3kCGtWqnRgK2YP78bSUnxfPTRTcqXzzmp7+yG4MCBnM+bNVO5FGfOKO2JiaqvQppuflffbMbajmtSZhIZ+ScnT+7h/vv7cuLEHs6e/R9t2vSnbt221K2bNzGwbFllCNatm0FoaMVSZQhC9EZAx3WgmpQyVgiRZupFzk6/fv3o108l9rzxxhvs2rWLX375JUdSV0REBM8991xWOYkbN24wY8YMDh8+zKpVq/D19S2UhoiICE6fPp31XO+KAahRowb33HMPISHZLR/uvfdeoqKiOH36dIEicCxhrvGOsVFJhQoVOHLkiNFyHQUlNjaW9evX4+3tjYeHBxMnTiQmJgZvb29mz55NQkKCVfkIRcXGjZe4ejUzj2vI3T07xj05WWWG6Usg6KlcGSzY1HzToMFD3L2bQkZGep51zlh4LiFB+flr1lRRQuXKqTmAyEgIDT2OlH8D/Xn2Wdi0Kbs/tH60ACrRzhpatepDtWr3Zk0Ob9++kMOHtxAYWJ3gYOOjV09PpbF162HUrGmLJo3OgTWG4BchxHeAPt22j25ZOSDe9MuKD7/99hu//PILzz33HJ07d85aPn369Dw1hdLS0vjqq69ylD8oKNOnT89RXwiyQ1Pnzp3LmTNnOHnyJN999x1vvvkmt27dIiEhwap2lgVh7ty5OQwfmG+84+7uTrNmzYiIiKBr164mXTfHjx9HSkndunUpY2z2zoCbN28yYcIEKlSowO3bt7M+a2JiItOnT2fFihUMGzbMBp/WfhireyOEYNGicyQk3ODXX+8lPT3bEDRrpnzbnTrZ3u88adLXJtc544hg61ZlCPS0agUDBqiKqxcvbuHw4ek8/vhxOnSYw+nToI8rmDRJleEICVEG1RqqVKlHlSr1sp43b96ToKBQypcP4MiRrTRs+DBly+ZMHtNHb3Xv/obd53AcibBUOEmoW5vegL7A7W/AJisb2NucFi1ayMOHbRu1+ssvvxAXF0fbtm1zuD9cXFxMFpaqXr068+bNK5SLwtz+vby88kyQvvPOOzzzzDP4+vrarQH63Llzee211wAVYvvmm29y9uxZ4uPjmTZtWh73UO4JZr3WlStXZh2bGjVqEBkZyblz56ipL5Fpgps3bzJr1izWrVtnNForNDQ0T88IZ2L3boyGj+o5dgzefFPdwbq6qgiXpUvB19cx9X7+/nsnbm5ldBe8UIYNU37vNWvs/96WkBImTMh5/F59NTtE9NSpfZw48Qt167alUaOHOXIEFixQXdhmzFBRRG5uxiOF8sOePWtZvnwITZs+zssvf5dj3ezZKtFv+nTV5N6RhIRYX2bcGEKII6YiPc2eekIIV2CnlPIhYFPBJTgfM2bMYOPGjcyaNctk/XtTrhJQ/nS9G6egxsDU/l1dXY1O2s6fP5/Ro0fn+33yExLar18/Ll++TIUKFbJKWugv5GPHjs2z/Ysvvmix/EO9evUoV66cVS6kwMBAFi9ezNKlxpOunDGbWM+dO3d4+eXuuLr6MHHiV3nWJyRc58ABd8CfjAzlyggJgcBA++qSUmZ12po3L3vE+9lnEnd35fO+c0cZhKLkv/+UEfDxgZ494eZNaGhQF65+/QeyInhAjaQmT1aVVyE7zr+wlC1bnlq1WhkNEdWPCGJibnDlSiwVK9bKMwlfHDF7WymlzAAyhRCFc4Y7IdHR0Zw5cybLDXLlyhU+/vjjHDHspspV6ylshrGpHsiF6QaWm/wWbKtduzbLli3LUddo1qxZvPvuuwQH563PYuyuHdR8h74X9I4dO/jnn3/M1iPKjams4fLly9OrVy+uXbtmdH1RsmpVBkeODOfvv3OG+SYlwfLlMGpUb375RSXg6RPa77vPvpo++WQMAweWYe/etdy9m0KdOqryab167RDCOZLKYmPhxx/VaArUZG+3bjBwoOmieqDcaC1a2LZOUkLCdcqV8+f//m8PnTvnvenSG4I1a15j0qR6JCWVCO+4VSUmbgN/CyFWCyEW6//sLczezJ8/n1OnTvHkk09y+vRpJk+ezPDhw7NKPoC601+5cqXZsMfC3KEa7l9f49/c+/n5+TFo0CD+/PNPq9+jICUyLl68yKRJk7LmBgYNGsSkSZOMdhjzM/MrLEhdpszMTM6fP8+YMWPwzJVO6+XlhY+PD1u2bOG6Of9LEfHFF2WBfjz6aE6//M8/w5494Oq6FWiEh0cmU6eqO9ouXeyrycXFjYyMdJKTE/Dw8GL27P1s2CCZOXMfkB1rX5SGYPVq+OQTZQzA9GTvtWvnOHv2d27dirGbljlzHmLu3EeIjj5hNBdEP8FevnwdKlWqbXQSvjhijSH4GpiBChU9YvBXrAkKCqJevXr4+/uzZ88eNmzYAKjSDoaEh4cTGRlp8uJc2Ho3+v1nZmYSGRlJeHi4yZFCzZo1Wb9+PRcuXMixLiIigrCwMFxcXAgKCiIoKAgXFxfCwsKsqrBqyLlz5zh16hQLFy7ks88+s6h/6dKlZhvS53fUlJaWRq1atXj11VeZNWtW1nK9kVyxYgWbNm2iWrVqVu/TUXTqpH5OSUkqOzVdd41QTeUhI0MFtzdq5ELDhjBlSs6sWHvQv/881q1LpVu3CUbXF3W9odTUnP2EfXxM+963bn2HGTPu5/ff7eelrlu3DXXqtCEt7Y7R9frj1b79ZBYuPIOfn30z/R2FxekpKeVaIYQnUL24l5825Stv0KABgwcPpmPHjnlKIOsxleFqj3o3ppKoKlasSHR0NM2bN8/xmQx1GVbqvHjxIkIIoxPSpgzYkCFD2LdvH926dWPIkCFkZGSwY8cOypcvb7QTmV7rhAkTTPYr0LuJzp8/b3GS+6uvvsLV1ZW0tDSWLFnCpEmTaN++Pb169TL7OmfgkUfg//5PXfh374ZVq2DcuLwNUho3dpwmD4/sG4r4+Gv4+ATl8Gmbcw3duhXDjz9+gK9vRTp3HmUXfX/9lZ0ENniw8vObmjQPCgqlVq1W+PlZ72LMLyNHrjK73hlGUPbAmqJz3YEFQBlUNvF9wGwpZQ97i7MlxsonDBkyhJs3bzJu3DjaWehm7egMV2u7gRlz/RhizAiYM2B+fn4EBQXx/vvvU7t2bRISEnjiiSdM1lz6559/CAsL46+//qJly5Zc1hfKycWlS5csGgH9d6SfI4mKimL58uU0M9aGywkJDb2Ou7sfly+XYeNGFQXz0UdqIrZKFVUK4dCh7AYpjkRKydix1cnMzKBRo0eIiYlk+vSd+PiokZWxC9uhQ5vZtGkmgM0NwTffqGxgvfelRQvLJTV69XqFXr1esamO/KJPHSpphsAa19BMoBW6nAEp5VHAfAygE2Lsgpmens5bb70FqDj1Gzdu5CmjYIgxN05RY+0chd7fqXexmNK+detWYmJishLIpJQ89thjPPLII0a379+/Pw888AD79u2jR48eefyqXl5eLFmyhDNnLJfstWY+4+jRo6xZs4a/cmdjOQFRUedJS1OObv2FQv9xGjVS8fALFzq2CcyFC3+yaFFf1q2bgJeXL56ePsTFXebKldPcvh1r9g63TBnbJQoakpysmu78/Xd2DSFrk8CKGv3xOn36LJMm1ePs2d+LVpCNsMYQpEkpc98KZtpDjD0xdcG8evUqUkpmzpxJcHAwM2fOdKywfPDvv//y1Vdf8beBU9XaOQopJWXKlOHXX381aQQM5xqqVKnC+PHjSUtLY9u2bXz9tfHEpHt1Qd79+vVj7dq1OUYgQggGDx7MmDFjqFGjhkWNpr4jw+Wff/45Q4cO5XvDrCMnITg4mEaNsn3Lhl9NQ+vb49qU5OR4fv/9Ky5e/IsVK66zfPk1xo79nAULTlClSn3Kl1ejL2OGoH37Z9mwQbJhg21ShtLSVN7E779nl4UANVqydUa1vdAbgjt3vLhy5TTJycaj5oob1hiC40KIAYCrEKKOEGIJsN/OumyOqQtm9erVuXnzZlYLRnNRMEXNF198Qd++fdm4cWPWMkshrobcvXvXZDJW7jDTK1eusHjxYhYsWGB2nx9++CFdunTBw8MjTxa2lJIPP/wwK4zUEqa+I30lUoCWLVsyaNAgGjk6m8cKatWqxYQJfQBVGmHqVPW/TBmV9FQUVKvWiHHjNtK//zxANXKpVq0hVaveQ2ZmBp9/Phyw/2Rxejq89JL6+0nXzmrwYHjqKTDoA2WWRYue5vnnK/LPP7ssb2wn9IZAiEosWHCSevUKkeHlRFhjCMYCDYE7wAbgFmA8BMGJmTt3Lh65Mmb0vnJfX1/8/PyoWbMmU6ZMKSKFlmnYsCG9e/fmnnvuybp7HzhwIO7u7lb1RyhXrpzJaBtTcw257/Jz4+fnxw8//GDWpXbx4kWGDh1q0RgYM2qurq688kq2X7hPnz6sXbuWHj2cc4qqRg0YO1YZgYAAmDULZs7MDjt0ND4+wbRp87TRAmoJCddISlK1rkz5vG/fjiM29nJWX+CCcuyYShaLiYELF9SEcPv20KeP6itsDUlJsdy6dd3s+WhvvLxURvidOy4EB9fPMRlfnLEmaigZmK77K7aEh4eTlpaWFRXk5+fHmDFjGDBgAEII4uLiilihZVJSUjhy5Ahff/11jmggU0ldhnh5ebFixQqT/QBMuWWuX7+Om5sbnTt3ZseOHTnWGUZhubi4mEyEAxUWaqnZvH7dtGnTiI6Oplq1aoUu4+FIEhMTuXYtliZNfClXTo0sbVlJtDBs3/4+Bw5spGvXcXh5+XL8+M/ce28nuncfxtatxg3B8uVD2bNnDQAffni1UKGS+3U+BHd35RZq1kyNlvLDxIlfc/duStaxLQqEUBPGsbHqmBkMVos1FkcEQoi6QoiVQogfhRC79X+OEGdrhgwZQteuXalSpQrx8fFZkTOGvnFr3RiOxtB1A8ajgUxhaYIYTLtlpJRkZmZy5UrOBui5XUnmjIAeaya2w8PDiYqKYv369QghGDhwYI7vJDMzM6upkLPx9ddfM2BAGGvX5m2EXpT89ttnrFs3gTNnDpCcnMCJE7/w3XfvcP78EXr2VCXCjbmGLl06kfU4I6PghYbv3AF9T6XXXoMnn4SC2HYvLx/8/Cri7l60tTD07qGNG9832Q+6uGFNmasvgeXAKiBf40MhRFdUo3tXYJWU8i0T2/UBvgJaSint2gd5+/btpKam0qtXLzIzM/nss8+MduWCgtcQsgeWwkRNIYSgTZs2ZGZmcvDgQapVq0ZlI+UZjeVJGHLmzBkiIiJyhNEa29bV1dWkUbB2Yjt3+W/D7yQ0NJT27dvTpk0bXnzxRadqWOPh4UGFCtXw9rZzllg+Wb36BQAmT95CzZrNuXLlNOXK+ePl5cfff2/C1bU3KSmCtLTs0hcAEyduIiHhGlWq1M9ThdNaYmNVhdDUVBUeWreu9a4gZ0VvCPbt+4GwsAzq129v9/e8fVtVZQ0NVY2LbI011UePSCmbm93I+OtcgdNAZ+AScAh4Rkp5Itd23sD3qDyFMZYMQWGqj27atIn9+/fz5JNP8oCujJ+p7Ftnq3JprlJpfnj//fcZN874Have1WMqG9nwmJjSI4Rg/fr1FiuSmsPcd/L999/Trl07qlatSmRkpNn3sEf/ZUtYqj5aFHzyyVgyMzPo339eDrfK+vWT2bbtPdzcYkhPD2LpUtsWwLt0SSXY6WMIBg5UNYQKyoYNr3Dr1nX69p1DQEDRhRktWwb79kHr1tvo3j2YWrWs7IRTCH7/HRYtgoceyq7JlF8KXH1Ux1YhxGhgM2rCGAAppaXuIK2As1LK8zoRnwM9gRO5tpsDvA3YfZb2p59+YsWKFdSqVSvLEFgTsugMmKuEai0uLi6cOnXK5PrIyEh69+7NokWLjF7kDY+JuSY24eHh3Llzh+HDVURKcHAwY8eOtfoibO47OXr0KH5+fpw4kfs0UjkHgwcPznpeHEZ6jmDo0CVGl4eEqJjW9PRoIIhbt2xrCL79VhmBmjWhdWvVb6EwHDy4iatXz9Cjx1TLG9sR/YigVq1uDutJoI8YL+wxNIU1UUODURfp/WTXGbLmlrwqEGXw/JJuWRZCiGaobmcOCQp/+umn6dKlC2PHjs26KzYXVupMzJ07F3fDcbsZhBC4uuYtjZuZmcm2bdtMvi4iIoKFCxearBJqeExM1UPSz7sMHTqUXr16Ub16dWJiYtidj9sYU8c+ICAgxzyJMTIyMhg5ciTjx4/Pd7G9ksrduymsXz+ZH35Qpb2Tk2/x77+/Ub16Yx58cBjly6u0IMN5gqSkeNauHc8zzwhefbU5584dytd7xsTAb7+p6qETJkCPHnn7BGzYMI1nnhE884x13XieeeYtnnvuI3x97VdiwhqKIrtYX6/KRF5nobFoCKSUNYz8FTqzWAjhArwHTLZi25FCiMNCiMMxMQWvPPjwww8zefJkMjMzWbJkCQ899JDFC5qzEB4ejo/+VsQMoaGhZGZmZvXOzY25kc7rr7/O/PnzmT17dp5j4ubmluOYmKqcqr/bFkKwefNmvvnmG7p160br1q2t+ZiAaSMDWDVPkpycnKPmkiH2HOktXLiQ555rws8/f2y39ygIV66cYdu29/jqK1VaPDLyT2bOfID16yfy/POradxYFckzDD6Li7vMjh2qyPCFC3+QmGj8eOYmMxN+/VV1C8vMhDZtTBfWS0rKX6Req1a9efjhEXh5FW2LSP3P8L//rhEdfdL8xoXg5k3YsEH1aL56VYUgN8+3k946TLqGhBAvSynn6x73lVJ+abBunpTyVQv7jgYMpzVCdMv0eAONUG0vASoB3woheuSeJ5BSrgRWgpojsPipzNC6dWveeecdpkyZQmZmpsNrCBUGS716DQ2YOdeNKfQ9nAE8PT0ZP3581gW1vJFAeGvqITVt2jTfWcCmvpOBAwfmaz/GsOdI79KlS5w/f4ykJOfqqfzZZy8DEBiofo6+vhWpU+d+fHyCyczMwMdHjR7jDUrre3sHMXDgQm7cuEi7duFUrlzHqvf68ktVRwhUo5uePU1vO3jwYh59dCzlylnOgXEm9Ibg2LE/+P77TRYL1RWUTZtUCXN9Al7TpvbrYmduRNDf4HHuSk9drdj3IaAhgX4rAAAgAElEQVSOEKKGEKKMbn/f6ldKKROklEFSyjApZRjwPyCPEbAlu3bt4tixY4wdO5Y7d+5kXaCcsYaQMcxdxHLfkZvKODbWhN4Uhnff8fHx+e4tkJGRQWxsbJ6MY2sw9p3k5yIeGBhoMoHQXkyZMoWVK4/ywAOFN1i2pHr1xvj7V6Fbt0kAVK1anxkzfuHQoc0MHuxFaKgaPe7alV36wde3At26TWDQoIXUqtUCLy/LvanOnVPzAkKoukpvv20+wsXd3YNq1RoREGBdssWhQ5s5fHhLkfcA0LuGPDxqUrGi9b+n/CAl6NuO6H8+9hoNgHlDIEw8NvY8D1LKdGAM8ANwEvhCSnlcCDFbCFEkaaFPP/00HTp04NatW5QpU8boXa4zY8pl8umnn+YxYLldN/oyDYEmZgNjY2PZvHkzR3QB39OnT89zAc+vj71Pnz4EBgayfft2q19jDmOf393dnTK5nM9eXl68//77TJo0KWtZUFCQ1VFLBaVSpUrUqtXE6WrUh4fP54MPounQYVDWMlVwLpj09LusXOmJn188165lN4fJD7GxqrnM/PnKHfTYY9C9O1S08WFYvLg/777bq8gNgX5EUL58PXr2nGaX94iMVCM0w3sZexoCcwMNaeKxsefGdyDlNmBbrmX/Z2LbB63ZZ2F44IEHiImJyWru8vrrr+eoY+Ps5NeNZei6SU5OJjEx0aTx++eff+jduzft2rVj3759NommCggIAJRBGD58OKtWFW4Infvz6zOPDZflPib9+vUjPj6ehg0bFqvv2t74+1dm+fJrfPzxi+zc+SEtWvzKzp3d2bxZhSjGxZ0iIeEqMTGRxMRc5L77ulKmjBd376ZQu3Z2He27d9Wdv/60qFULnn7aOg3r1k1k+/ZF1KvXjpdf/t7iqKN5856kp9/Bzc26oAl7oTcE8fGqhpIt3TV//AEHDmT3X27XTo2qkpNVDoG9MPcRmgghbqHu/j11j9E9N92SyonZsmULkF2SOTMzk2XLlhWlpHxjbZ+C3Hh5eZktTleuXDl69OjBPffcAxRsjiE3q1evpk2bNowcOdJiLwJrMfz848eP5/nnn2fx4sV5cj6KIodg3bp1/Pjjae67bwAhIUVUZc5Kxo4NJS7uCh98EM3gwe/j6urOpUtw6hTs3QsxMR+xbdt7Wdt7efmyfv1EANasScLDwwspYf16ZQQqVYIxY1StJWu/6gMHVPHEf//9jaSkeIuGYMKELwr2YW2MhwdUqKDyRS5fzllltjBICWvX5sxDado0u0S3kc6ZNsPkVyaldJVS+kgpvaWUbrrH+udFa5ILQURERFYY5po1a5yynERR0Lx5c7Zs2ZLVn8EW0VRCCJ577jnS09NtanBv3brFzJkzWbx4MUlJSfj4+BAREUG1atUQQuDi4sKzzz6bVf6iIL2TC8IXX3xBRMRcrl07Z9f3sQXp6WlkZKSRlqbusIXITvb64Qfw9GxMUNBq/PxOUavWAUJC7s96rbu7BzduwLvvws6d6o543Dg1GsiPvR86dCmNGnXixRc/xdvbhgkMDiA4WAUELFw4z2b7PHcupxFwdTXdttPW2GkO2vnIzMxkw4YNjBw5kjTdjFhycnKpSTKKjo5m5syZBAUF8eabb1rc3pbRVK6urkbzGgqKm5sbs2bNws3NjStXrrB161bGjBmTNbltLBlOP79hz+958ODBVKhwP1Wr3mO397AVnTqN4siRLZw6tZd27QYAqhBcUJAKVdy8eTD6COT4eFi9WtKrVxJC3GH+fFeOHVN3sJ6eqoy0Fe0m8tCqVW9atept1bZSSp3RKmOz0WVhCAlJ5fhxSEoqwAfPxYYNamSh99q2bw9JSSoRz0w7cJtiscSEs1HQEhO7d+822WXL2cpJ2IPTp09Tr149ateundUtzNB9EhISYrMQTT379u1j+vTptGzZ0mJfg/wyb948KlWqRHh4OPXq1bMq61oIYTK/wlY4Y4kJY6xePZqdOz+kdeunyMxU9XK6dZvI1q3w2Wdqm9atoWVL2LoVch9eV1e1fsAA22YjmyIu7gqjR1fB17ciy5dftf8bWuDo0QzeftuV2rUzmTOn4Ibp6lWYODHnsjlzoHZtSEi4TlpaKt7eQXh4eBESAg8Uov1BYUtMlAhumUkDdLZyEvagcuXKrFy5MmvCNHcP56ioKAYNGsTBgwdZssR4SYL8kpKSwt69e9m7dy8tW7bMkadQWEJDQ5k+fTojRoywugaTs2WLFyVPPjmddu2e4cyZ//HZZy/j5qYirx57DEBSvXoKTZp4kZh4kwoV/uPChSrs3fsft2/f5pFHGtGxYzBW5DeaJDb2MseP7yYx8Qbe3oHUr9+e4OAwk9vfuaPmJawJY3UEtWqpEW5UlAuZmflziYGaV/H0VCG7hlSokN27efPmN/jhhyUMGrSIxx4bT3LybcA+kY6lxhDoyx0Yu+iXhguEt7c3zz33XNZzU9VDv/jiC5sZghYtWtC2bVv2799vVc9ia4mIiGDEiBGkpqZa/RpnzBYvSgICqhIQUJXg4DAqVKiZdRF2c4MOHWIYNaoiVarUo2vXCXz88Qs0atSJc+d2AlCv3n58fKyvsHr7dhzly+dMGjt//hAffJA9+hwz5jOzhqBSpdqsWZNU5KGjery9lRvtxg3l1gkJsfwaKdWEb3Q0vPqqMh76iKNRo9Qk/cMPZ08Ke3p6ExAQgrd3EHfvpjJ16hPcf/+3VlUYyC+lxhCAcicYq4pZGi8Q5hrRGJabLgz+/v6sXr2af//9l3r16hV6f3qmT5+eLyMQGBjI+++/X+LngQpCYGC1rIxjPbGx0bi7e+DhUR4/v4qEht6Xo0NZxYrWVVrLyEhn/PiaxMZGs2bNbcqU8cxa5+NTgTZt+nP27P+oW7cdgYFWXEkBV1fnuGTdvZuKlP8ALbhwwbIhuHRJdatr3VoliGVkqL+0NAgLgw4doGPHnK/p128u/fqpa9OJE3vo02esXYwAlBJDYOgLDwgIwNPTk9jYWKcuJ2EPvvvuO5KSkujbt6/Zaqa2nECvX78+9evXL/R+DLHkytP3RAgNDWXmzJm0bdvWppPVJZ0aNZqyZk0yyckJlC/vT8uWTxIbe5ljx36gfPlAfH0rWLWf9PS7pKWl4uLiSkzMRapWzT4P6tZtQ926bez1EeyOi4srN29+DbRg0yYVQmoszv/aNVVraf161VNA7wpydYXOndXznj0th4Y2aNDRqlFHQSn66Xc7k7uT1s2bN0lJSWH9+vVOXU7CHvTr14/+/fuTnJxstum9Lat0Ll68mBkzZmRFatkCU6680NBQpJSkp6cjpSQyMpJatWpRr149Bg0aZPQ1haE4dLazREpKInv2rGXfvpzaXVxccrhzAgKq8OCDQ2nRwvqiAIcObebWrRhateqTwwgUhEOHNvPGG4/w008fFmo/tsLV1Y3BgxsTFBTHtWvw+usQFaUyq/Ulwb78UlVeffll1bPZwyP7gt+xIwweDGvWwP33m3wbh1HiRwTGfOGOCCV0Rnr27ElGRgZSyqzP/uyzzxrd1lYT6OPHjwega9eutGvXzib7NNZNzZSLz9/fn9q1axNi49up3JPt+lyF8eOhcePic14lJ8ezfPkQAgKq8sAD5nVHRh7l6tUz1KjRzCr3kJSS8uUDjOYIJCbexN29LGXKlCU19TZCuODp6W1yX1eunOH48d2EhTW1/KEcgBCCrl378/DDqlHNwYOwZImaAD59WpWD+OMPtW20rtRm795qbmHfPujTRy0zN8k8f/4TxMZGM2HCl1SqZJ+aRlmfp6SHj5rrpGXvUMLiQEBAAHFxecsB2yKkNiIiIsvQ+Pv7s2TJEpsZ36LIHDbEVBc1FxdXXnhhrcWLqrOQkpLIJ5+Mwde3AuHh7wCwdOmzpKQkMGjQIm7dimHhwj64u5clJeUWiYk3GDbsQzp3HlWo93377W4cPbqdxo27cOzYj3TpMsZkAx2AmzcvcfnyKQICqjpdnkZqKrzyigoFzU337qpn8+3bKt8id08Gc4wbV4OYmEgWLTpHxYo1tfDRwmCLUgklmSVLlthlAl1/x6wnLi7OpnMPBS21YStMjZgyMzP46CP1OYuDMfD09Gb06LU5lv3990/cunWdYcOUGyYu7nKO9eaie3KTmprE0qUDuHHjP95884+s8i4gcHf3IDi4Bp6e3ri4mJ/DCQwMsXpC2VH88cf3JCXF0qJFL8aM8eatt1RiXa9esHkz+PtD//75Dy3VM336LpKT4x3yuUv8iCD3EB7y1z+3JCGlJDU1FXd3d9wMKmXZ4+66uPSCLiimPp+eoKBQliyJdJwgG3Lx4l9cvXqWli2fJCMjjVu3YjhyZAt///0T7dqFc//9fa3el5SS554LJCkpjmXLLuUoOa2/9gh7FtGxIxMn1uHq1bO8996/VK5cl4wMNQlsL+w5Iijxk8WWOmmVJjp06ICXlxcHDhwA1FzJwYMHadeunc37MThLL+jMzEzq16+fNZFsK+bOnUtZM/n/N28WnyTFpKR4bt6MYt68Lgwf7kf58oG0bt0HFxcX3N09CAwMoUuXF5k8+Zt8GYHNm+fy+uvtaN9+EAsWnMDPL2eLSSGE1Ubgt982sGPHYm7ejLK8sYNo1qw77dqFU6aMCrqwhRH47bfPmDPnIW7fzl/3tsJS4l1DUPRuBGfB09OTsmXLcvfuXQBOnDhB69atadq0KX/oZ7ZshLO45FxcXIiMjOTOnTuEhoZy6dIlm4x69K8dPHgwGRkZedYHBhYf1+PUqY1zXGD9/Ssb3U5FZN1FSkmZMpaL4Fy58i9nzhzgkUeeL7Rf/6eflvHvv78RFtY0T95DUTFw4HuWN8onH388muTkBP74YysXLx7F17ciPXpMtfn75KbEjwg0svnhhx9ISUnJqrkkhKBFixY0skOJQ2fqBT1nzhw8PT2JioqySTVSfdjowIED8fPzy9MYp0wZr6xEoOKAv38VAgKq8t57/7Jgwckc/vqUlERWr36BlStH6ModlGX9+klm9pbNU0/NYtas32jSRDU0zMhI57vv3mXXrpVMmdKIn35azpUrZ5g1qyPLlg1ESsnu3atYvXp0nn21adOfLl3GEBRkx6L8TkDz5j2pUqUeXl6+bNu2kB9/dEyZ/FIxItBQ5B6GN2/enEOHDtnlvZypF/SyZctMdlvLr57cc043b97E3d2dwMBAYmNjCQ6uTt++c4vFRLGeOXP+Z3KdlJns3Lm8QPutUKEGFSpkV+dctuxZDhzYSIMGD3Lp0nHu3k0mMzOdU6f2UqVKPWJjL7F27Tju3k3h3ns75ahM+uijYwqkwZ6kp9/lzp1kypTxxN3dw/ILrEA/cX/7dhzh4e/g7u6Y8qMlfrJYQ8OWIcSWJsGLS/VRa8nISGf37o/4+OPRCCGYM+cgtWoZnW+0yNKlzxIZ+Sfh4e/g61sRP79KlCvnz7lzBzl//jCXLp1AykxatnySZs2esBhJVNS8++6THD78DRMnbrK6nLYl4uOvcunScby9gwkNbZxjnTZZrGETVq5cSefOnfnyyy+LWopD8fPzM7o8P/MVeneQqUih4l7Bdv78J1iwoCc3b17KsdzV1Y3OnV9gwwZJREQGNWta3zh3x44lbNnyFrdu3QBg1KiPWbDgOE2bdqNmzeYEBFTFw8OLBg0eJDU1iT17PiEgoCotWvTMYQQyMzO5ePEYN2441zH29PTG09PHpkEIhw9vYe7cTvzww2Kb7dMaNENQijh37hw7d+7k3DnVQWvq1KlUqVKFNWvWFK0wO1OpUqU8y/IzX2FYpsQUxTkvZePG6fz55/ccOfKt2TLP+YnyAdi+fSGff/4KKSkJAFmlro3RqlVvRoxYQfPmPQGVefzBB4O5ceM/kpPjmTatCVOnNjb5+qJg9Oh1fPxxAq1b97HJ/jIy0lm9WiXqeXr6cOLEHod1u9PmCEoRw4YNo1OnTtStWxeAK1eucOXKlSJWZX9mz57NV199lVV0LzQ0NF/zFaZKdusp7hVsExKuAdC06eNGyzz8/fdOUlJuERxcgw0bplKpUh2GDbM8idmlyxgSEq7h7R2UtezChT/45pt51K/fnsceU+VHtm1bRHJyAr16vZrVmH779kX8+us67ty5zZAhSwkJaWi2BEVJICUlEVBGoHr1JsyZ8yDt2w9k9Oh1dn9vzRCUIg4fPpxj8vb1119n3rx5ditt6yw89dRT3HPPPWzcqJql53fS2pzbRwjB4MGDi3V4cs+er9C582iTGcPLlj2bZSwAbt++adV+H388b3TR7t0fcfDgJi5fPpVlCL7+ehZJSfF07Touq9BdQEAIHTsO5cknX8PfvzLvvPNPPj9V8cPLy5cPPrjMnTtJREefpH799lSt2sAh7625hkoJuauwXrx4kTFjxrBnz54SbwgAfHx8aN++PQDLl+cvCsac20dKybZt2wqlraipWLEWNWo0o3z5AKPr69XLnqGcNm0Hw4evKPB7Pf30G3TuPJqJEzdlLXv00bH4+FTgxImfs5Z16vQ8o0Z9TFzcZb7//j1iYiy3InU0e/asYdasDvz888c22Z+Liwv+/pWpVKk2TZp05fXX99Kz5zSb7NviezvkXTSKHHNVWEs658+f58SJE8yaNYvx48fn++597ty5eHp6mlxf3CeKLTF27AZmzPiZadN20KTJo1ZFDaWnp3Hu3CEuX/43x3Jv70CGDVtGlSrZjYoeemgEt25d55NPXsyzn++/f5dPP53MmTMHCv9BbExsbDSnTv3K9eu28+Onp99l6FBvhgwpZ9NJaEtorqFSgqmL1cWLF0lKSqJcuXIOVuQ4Vq9ezbx583jjjTdYtGhRvl8fHh7OpUuXmDbN+N1ZcZ4otgY3N3caNHgwX69JTLzBa6+1sqrZvBCCjh2H5uhgpqdZs+6cOrWXJUueISrqH/r1eyNfOuzJAw+EU6/eA/kqwmeOixf/4qefPiA19TYuLq6kpt522LyINiIoJZi7WDVo0KBYNlWxlvr161OlShUSExPzJJZZy9SpU/n000+dJlva0WRkpJOWdocffljKtm2WjamUmdSs2YLq1a2J9BF07TqO/v3n5Vnz0EPD6N37/wBITk7Ir2y7EhwcRoMGHQkOtk2285Urp9m1ayX33tuZDh0G8+KLIezf/7lN9m0JbURQSjDWzEXPf//9Z9MS0c7GwIEDWb9+PW+//TahoaG0atWKJk2a5KjAag3OlC3tSPRVNrt0eZEff1yGi4sr3bpNMPuagICqzJ1rXdb6qlUjOXp0O1OmfEezZo/nWf/QQyNo1uwJ3N1Nu+dKAjVqNGPYsA8JCqrOL798TErKLYcl1WmGoJRgeBEzFg9f0ru2Va9enbp16zJ6tKpjc+nSJapWrWrhVdlkZmbi4uJSKgsYXr16FoCdO5fTpcuLuLuXzToetqBixdpUr97YZJmGu3dTiIu7TJ06ztXjOD09jZ07lxMXF80zz7xV6P1VrFiLzp1V57fGjbuQkpJo1F1mD+zqGhJCdBVC/CuEOCuEyONgFUJMEkKcEEIcE0LsEkKU7IpSRUx4eDhHjx41mRRUUic9IyIi2LlzJ2fOnKFs2bJUr149qwKrpdeFhYUhhMDV1RUhBNWrVy/RbjRjvPnmn3TrNpFhwz5g6NClPPvsApsZAYAhQxbz9tt/ce+9nYyunz69BbNmdXBYcpW1uLq6sWHDVL799m2SkuJttt8ff/yABQt6cv78IauqvNoCu40IhBCuwDKgM3AJOCSE+FZKecJgsz+BFlLKZCHEC8B8oJ+9NGnAtGnTTEYjlMRJz4iICIYPH86dO3cASE1N5caNG+zfv58aNWqYfZ0xV1pUVFSJdqMZIyzsPsLC7svXaw4f3sLq1aNo1aoPQ4cuLdT7lyvnz40bF7lx42KOaKOiRghB9+5T8fDwsklzncjIo8TFXeavv3Zw9Og2mjTpSuPGXWyg1DL2HBG0As5KKc9LKe8CnwM9DTeQUv4spdT/0v4HOFcvuhJIo0aNqFYtbz33kjrpOX369CwjoMeasFlz2cSlJezWGLGxl7l8+V/S0u6Y3S4pKY74+Kukpt4u9HuOGvUJvXpNp3799oXel6156qnX6d59SlZpjujoUwVuKvPTTx8wf/7j+PtXwc+vMgcPbiIx0brkvcJiT0NQFTBsJ3RJt8wUw4HtdtSjAYwZM4b//vuPwYMH4+npWeK7thW0U1ph15ckNm2azcSJdfj110+ZO/cRJk+ub9FN06ZNf5Yti2bAgPmFfv+wsPvo1+8Nh/nLC8P8+d147rkAoqNP5fu1ISENadKkK61a9SE9/S4nT+5ByvxVxy0oTjFZLIR4FmgBdDSxfiQwEkqm+8KR2KM/sTNjqlOaqYqkll5nuL60cPjwN1y9epYjR76lQoUaZGZmWEx2KlOmLAEBVRyksOhITb3NpUsnEEJQo0YzypULwMPjGn/++T2ffTaFKVO2Wr2vxx4bn1V24/nnV5OUFI+Xl/nz1FbY0xBEA4Y+iBDdshwIIToB04GOUkqj400p5UpgJah+BLaXWjrI7ffWd+qCkuvvNhU227Gj0XuOHK8bMWIEqampedaVVDeaKaZM2crevevo1GlUVi0gDcWJE3t4550nuPfezrz66o/Mm3eYlJRExo0L4/btWCIjj+aYX4mK+odDhzbTs+cruLoav/zGx18jIeE6Xl4+WUX47I09XUOHgDpCiBpCiDJAf+Bbww2EEE2BFUAPKWUJaufhnJTGMhPh4eGsXLmS0NBQhBCEhISwaNEii5E/+tdVqaLual11nclLshvNFAEBVenV65V8GYFff/2UVaue58SJPXZUVvRUrlyHsLCmVKlSP2uZp6c3AwbMZ/LkLYSENMyx/csv38uXX/4fu3atzLOvtLQ7SCm5ceMiq1aNZOvWd+yuX4/dDIGUMh0YA/wAnAS+kFIeF0LMFkL00G32DlAe+FIIcVQI8a2J3WnYgIL6y4s74eHhREZGkpmZSVRUFOPHj2fz5s2EhYXh4uJCWFiYUcMwcOBAoqOjdU3b05FSEhkZWaqMQEE5eXIPu3at5MqVfy1vXIypXLkub775B0OGLM7hLnvooeG0aNEjzx39sGEfUKNGc6pVy9snfPLk+jz7rDuZmel07DiU1q2fsrt+PVqrylKEpTaLpQVjoaFCCKSU+e5VkJuS1qoyNxERL3P48DeEhy+gRYseJrc7depXoqKOc889HQgJcUwp5aJm+fKh/PvvPoYMWUqTJo9mLc/MzLAqQ3j06KrExV1mxYoYfHyC8qzXWlVq2IS5c+eW2lo5epYsWcLAgQPzuMj0N0QXL15k4MCBCCHw9/fniSee4MKFC0Uh1SlJTIzh6tUzJCbeMLtd/frt6dx5VKkxAsnJCezZs4arV8/i4aEKON65k8znn7/Ka6+1IiMjPc9rkpLiOXp0O0eP7gDggw+iWb/+Dt7egQ7VDk4SNaThGEprrRw9ERERvPzyyxYjXvTr4+Pj+f7772nbti2vvvqqIyQ6PX37zqZHj2n4+VUuailOw82bUbz0UgM8PLyYMeOXrHkBIVw4cGAj16+f5/jx3Rw8+DUuLq60atUHd3cPfv11Hbt2rSQkpCH33dcVMN/O055oriGNUoO55vPmqFatmtXzKCXdNWQNUVH/8Oef3xMS0ogGDTpStmz5opZkd157rTUeHl48//zHVKiQnbF+4sQvuLuXpUaNZgwf7sfdu6r6raenDykptwDo0GEwL7ywxuJ72NM1pI0INEoNBZ0Uv3Tpko2VFG+klGzf/j4tWvTMcdHT880389i/fwN16rTJutMt6bz22m7Kls3b00PfxyEjI51p03Zw8eJf7N69Ei8vX0JCGpKQcJ1Roz7h5s0oli8fRuXKda3qB21rNEOgUWqwlCRmChcXFyIiIkqNC80cJ0/u5YsvZnDq1F6++WYuH354hZMn97JmzVjGjfuc6tXvZcSIFQQHh9G79wyHlVEuaowZAUNcXd24554O3HNPB7p2HZtn/a1bMfzzz06Lcy/2Qpss1ig1GJsst4aMjAxGjhxZ6qqOGuPChSOcOrUXgEceGYmrqxvXrp0lOvoE3377NqDi6Pv3n1csSkIUNVJKEhNvUq6cP9Om7WDQoIVFokMbEWiUGiz1ZDBHSe/XYC316rVnwID51KzZgoYNHwKgfv0O9OgxlQ4dhpCenuawbNjiTEzMRVxcXPn551Vs2jSLPn1e56mnZhaZHm1EoFGq0CeXGWs7aamUcElPvLOGWrVa0L37lCwjAFC1an2eeeYt9u/fwKhRFdmzZ03RCSwG7Nr1EePGhTFmTDVOntxL2bLlSU+33B/DnmiGQKNUkrv0RGhoKOvXr89KKjNGaSo0VxD+++8YSUlx+PpWKmopTo2HR/YNSN++s1mw4CRnz/7O779/VWSaNNeQRqnFVNtJY4XqSlviXUGYPHkz0dGnjEYSaWTTokVPVqyIyUoc27x5LseP78bbO8ihZSUM0QyBhkYuSnviXWGoWrW+5Y1KOWXLls+RW9G16zi8vYPy3QXOlmgJZRoaNkRLKNOwF1qtIQ0NDQ0Nu6EZAg0NDY1SjmYINDQ0NEo5miHQ0NDQKOVohkBDQ0OjlKMZAg0NDY1SjmYINDQ0NEo5miHQ0NDQKOUUu4QyIUQMkP+i8pYJAoqmGLh5NF35w1l1gfNq03TlD2fVBea1hUopg42tKHaGwF4IIQ6byrorSjRd+cNZdYHzatN05Q9n1QUF16a5hjQ0NDRKOZoh0NDQ0CjlaIYgm5VFLcAEmq784ay6wHm1abryh7PqggJq0+YINDQ0NEo52ohAQ0NDo5RTagyBEKJiUWswhhDCu6g1GEMI4VvUGkwhhPAvag3GEEIEFrUGY2jnWP4pbcesxBsCIUR5IcQiYLsQYoUQondRawIQQpQTQiwDNgkhBgghnKK/n+54vR41jDIAAA3YSURBVAd8LYSYIIQourZJuRBCeOmO2Q4hxFghRFPd8iI9j3XHbCHwvRDiDSHEQxZf5AC0cyz/lNZjVqINgRCiKrAeEEA3YA8wv0hFZTMb8AHeAJoCbxWtHNCdXD8Cd4HXUckpo4tUVE4mAYHAYKAssAJASplZVIKEEHWAzUAGMAyIAV4tKj250M6x/FMqj1mJNgRAKrBKSjleSnkV+AI4KoRoXBRihBBuuv/lAW9gnpRyLzAXcBFCvFYUugxIAD6UUk6TUu4DfgUydHdJoigECSHK6v67AWWAz6SUp6SU7wAxujvxohwVJAErpZQvSSlPANuAK0KIkKIQo51j+Uc7ZiXMEAgh6gkhlgshPAGklDeBXww2qQbUBP51sK76QohPgNlCiFAp5W3AHxig0xkPvA08JYSo5EBddYQQL+ufSykvoO5u9SQDdaWUSdLB4WVCiLpCiAhgiRCihZQyHSgPtDHYbBQwUAgR4qhRge4cyxpVSikvA9sNNvEC6kspLzlCj4Eu7RzLvzbtmOkoMYZACPEAyg00EuVCQAghpJRJBpuVASKllHccqCsQ+AT4B3AF5gkhOgGvAE8LIfS1P46hjNbjDtI1ANgNTBFCjNQtc9X9GPTUBI47Qk8ubZ4ot89fqOPyohBiOOpHOUoIEQQgpYwCPgWec5Cux4GvgZeEENN0y9xyHbMAHH+joZ1j+demHTMDSowhAG6ifLR1gaE6C5/bWjYFzgEIIZ5zkIuoPpAspXwXdZJtB/qhTr6vgYUAUsq7KD9zjAM0AVxC+dp7oC6uXlLKDKHQnxc1gT8AhBA9hRChDtJWC0iSUs6XUi4BVgFPAp7Ah+RMmjmt+yw4wLVwDQhHnWNThRDlpZTpQggXg/dugO5HqptsrGtnTaCdYwVBO2YGlBhDIKU8CZyVUp4FfkJN+uT2HT8CBAohNqGGf6kOkPYH4CGEaK5zX/wGRKEubDOB+4UQo4QQjwIdAIe4OHQ+0F+llAeAv3VaAFwM3Cz3AtWEEN8CzwLpDtL2DxAmhOigW3QM2AW8DEwHAoQQrwshngZGACm619nVtSClPAyc0p1jO4DlulXC4L0fAIKFEJtRRiPNnpp0aOdY/tGOWa43LlZ/qKgRHxPr9JnS3sBZ4JFc67ej7taesoMuf8DdiBYfVBTJGwbregKLdI/bAROB/wHhjtKVa5tGupPuXoNlwahytvuBfnb6LssYWeai+z8W+NRg+X3AalTERF1gECqSwh7HLI8uE99rPNDSYJ0HymgdAZ62gy5XE8uL+hwzqstJzjGfXM+d5Xdp9BpWVMfM5gfenn+6L+4c8DHwsoltXHX/JwDf6R4/gwohfdBOul4H/kO5LMYZWd9JdxF7Qve8LnAYKGvn42VWV65tZwOrdY9b6f4PsaO2t1Funhq65yLX+trAJmCw7nkg8ANQyc7HzKyuXOfYDOBn3eOuuv+97KRrvu789zexvqjOMbO6ivgcm6E7Bm+hM8wYGK0iPGbGdLkU5TGz24e1w8HrorsQuKPuCnehht5lcm0nDB7HoUKvVtvry0XdOexE3WHcB5wB2uXaxgd1B/sHKnLpKVQUQJAdj5dFXbm2d0fdadwG5pg6MW2gyw2YjJpQXQUMs/CdnwOaAU8DPwPVnUCX4TmWDiQC72Mw8rKhLi/dxeAisBF42MR2Dj3HrNVVROdYJeBzYB3KjTIAOAAE6tbrR52OPmZmdRXpMbPHTm144PwMHj8FLNFf0IEFwEF0VjLX63yBd1DDdJMXv0LoCjJ43Br4ykDXBGAtUNXI62agIpv+Bto4gy7USCkY+BY4BDxgp+/SUFsYypgPAt4FWui1GHndC8BilLvF3t9lfnQFAR8Bf9pJl4/uvxvQGCiHGuHNAqqZeZ29z7F863LgOabX5gMMMFheARUh1KSIj5nVuhx1zLLez547L8SBCwSWonzA44DqqAmbFagZ9TLAIuB7YLj+wBm83gVobAddATpde1GRBg10P4YVQG2D9/5O/4WjohAMtXk5iS4Xg9eXQefacIC2JgbrQlCumEmAp+H3mOuYWfRBO0qXwTZu2McA+KMMzHbUKKiKwbr6ugtWb3KNPhxwjhVIl4POMUNt/YBg3XL9nX8Q6q4/KNfrHHnMrNbliGOW+8/pooaEEPejDtwNVJp3NZR/ey/qR9tZ9/8/lMtnIOSMGJFSZkopj9lYV1tgC3ALGANURI1SjqMMV1tdqFcmsAFlwJBSZuTSluwkujJ1rxdSyrtSyh221GVCWwWgr369VElXB1F34u11y6Thf93jDGfRZbBNupTyN1vq0vEWKkJlPnA/BiVRpJSnUCOjB4E6ufTY7RwrjC6w7zlmRFtrskM/9VE2QUC0lDJHL18HHzOrdYFDjlkOnM4QoCIx3pNSztRd/PcBnrqkigjgeaCnlPI9VO2g80IIDwfEkF9CjT5e1RkZN1QoYQbqzrs7oO8V+hUQKRxTXbFQunJf4OyszR1d/LMBu1BGvZEQYpwQop8d9Ti1LqEqXroDc6WUP6NuhHyFEOMNNotAfccNhRBDdeGNTq3LnueYldrCgCu67bsLIdrZS4+tdNn5d5mHoq7amOfirbu72GqwLg0VwaG/K0yRUl4TqvLkepRFvWPLA2dC139SytNCCH8hxEpUwkc3IcQSVObhT8AYoeqSbANuSSkTbKXJmXXlU1t3IcQyIYSPbpt41GTrNNRoJa406DKGlDIRCAX66J7HoubCBhvoigGiUZFg01CFyEqlLmu1AR2BskKI1cAUHJDb4ay6TOII/5OxP8z4OHMtHw28lWtZQ+AEMMHRulBWvqPusRcqlHW27nlj1Jc9prToKqC2j4B3dM+royJPJpcWXSa06kNSH0C59crpnpdFhbM+o3t+n07XxNKsy0pt4brn36Kiz0aVZl1mNRfJmyq/7B5U+Fl3g+UuuR/rLmBP6h73RhdHDngUhS4jr3kBZc3zTHKWdF2F1PaSwXNn+i7tretl4Nnc3wlqdK7/rtajqk3q1y0FOusel8cOodDOqquQ2rroHj+pvxiXBl0F+iwOfTMVqbEO2Aq0RQ25v0KXvGOwXWODx9uAqagJ5M+ACs6gS/f8flTm4ZPOcrwcocuZtTmxLm/UTU0M6s7Z12Cd4UWkGirMMBIYgip2doRcWfIlXZeNtHUuTboK9Zkc+mYqlHIk2dayJrAGaKh7Xkn3I/4VqIIant9C+brtkrFZAF2VdLq+0F04epY2Xc6szdl0AW4Guh7XPV4PLNA91usMQUV1bdE9fwR4CZVw1Ke06HJmbc6qyyafza47V1EEL2GQaAKUN3jsovsB1tE97wyMzrWPoU6q6/HSosuZtTm5rgWojGO9K0DvOw4FLqAzTrplT2GibEpp0OXM2pxVl00/ox0P3r2okLxrwAYT29wDbDOxzmThL02X43Q5szYn1iWAD1C9EsJRkVsvYjDngIox32zi9TZPoHNmXc6szVl12frPnuGjN1ClAeqjSgp3AdVkwSCkrzK6Ot9CiNZC1/Rbn0yh6XIKXc6szVl1eaOiaF6QKvdlAaqgWV+Dbf4PqCWEaCOEaCiEeNhAl00T6IqBLmfW5qy6bIrdDIGU8gqwUUoZh/LRvqpbnoGysgBNgDJCiHfQZd3ptpGaLufQ5czanFjXLbInCEHVuv8TleVdSbfNXdRcxW+oKquitOpyZm3OqsvW2DWhTEqZonu4DkgVQmSVN9DdsXUAHgZipZRtpcrAszuarpKjzVl1oapY3ieEqCxVm8FjqEZIlQGEEA+iWmy+KaWsL6XcVcp1ObM2Z9VlOxzlgwIeBX7XPW6s+98DM5UUNV3Op8uZtTmTLtRF4m3gFYNl+9AVqkO147R5KHRx1eXM2pxVly3/HFZiQkr5AxAnhLgDvCWECJJSfitVA/IiQ9NVcrQ5ky6p3FZbgMeEEH2FEGGou8gM3fpzUsrrmi7n1+asumyKgyyqC6ro0kXguaK2fpqukqfNiXU9hir3cQo7lfgoSbqcWZuz6rLFnz4Bwu4IIR4Ddksp7zjkDa1E05V/nFWbE+tyR80dOqoxu1U4qy5wXm3OqquwOMwQaGhoaGg4J87Yj0BDQ0NDw4FohkBDQ0OjlKMZAg0NDY1SjmYINDQ0NEo5miHQ0NDQKOVohkBDwwJCiAwhxFEhxHEhxF9CiMlCCLO/HSFEmBBigKM0amgUBs0QaGhYJkVKeZ+UsiGqn8FjwOsWXhMGaIZAo1ig5RFoaFhACHFbSlne4HlN4BAQhGpMsh4op1s9Rkq5XwjxP1QvhAvAWlS57LeABwEPYJmUcoXDPoSGhhk0Q6ChYYHchkC3LB6oByQCmVLKVCFEHVSDnBa6ipQvSSmf0G0/ElWY7A0hhAeqZHFfKeUFh34YDQ0juBW1AA2NYo47sFQIcR+qCFldE9t1ARoLIZ7SPfcF6qBGDBoaRYpmCDQ08onONZQBXEfNFVxDNcBxQVWlNPoyYKxUFVI1NJwKbbJYQyMfCCGCgeXAUqn8qr7AFSllJjAQcNVtmohqc6jnB+AFXdEyhBB1hRDl0NBwArQRgYaGZTyFEEdRbqB01OTwe7p1HwCbhBCDgB1Akm75MSBDCPEXqo3m+6hIoj90ndNigF6O+gAaGubQJos1NDQ0Sjmaa0hDQ0OjlKMZAg0NDY1SjmYINDQ0NEo5miHQ0NDQKOVohkBDQ0OjlKMZAg0NDY1SjmYINDQ0NEo5miHQ0NDQKOX8P2uo50REsnsOAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=5599, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.045, 'agg_val_loss_p_weighted': 0.11}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=6399, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.046, 'agg_val_loss_p_weighted': 0.11}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=7199, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.046, 'agg_val_loss_p_weighted': 0.11}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=7999, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.047, 'agg_val_loss_p_weighted': 0.11}} tain={}\n",
      "Epoch     9: reducing learning rate of group 0 to 1.6585e-06.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=8799, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.045, 'agg_val_loss_p_weighted': 0.11}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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MmjUrRwnoSE5OZtasWRaSqPSIjr7Arl1L+e+/rXrtdeu24YUXPjc7IkhVAioPiroiULEo165dK1J7RcLXtykjRy6hRg1fUlOTSEiIwtbWHm/vBnh7N+DEiR28/35nGjfuxoABb5kcS10VqDwI6oqgGFFt3eaje1bGHKG+vr6lLFHp4+FRl549pxAY2J8jRzYzbVp9vv9+Rs7xe/fiOXt2H9evny5wbmTkWd56qw0TJ3oyYoQ9n376XGmKrlLBUBVBMaGzdYeHhyOlzLF151cGqrLQf1aGcHR0JDg4uJSlsiwuLjXw9KyHi4s7N25c4Pjx33B39+Ptt/cyaNB7BfonJt7k8uXDJCbeJCMjjbS0ZAOjqqiYh5p0rpjw9/c3+GLz8/MjLCwMKOgYBeWlt3LlygrvGM2LsWcF4O3tzYcfflhun0dRks5FRJwmPv46Pj4N9aJ+Nmx4h40b32fAgNkGlQBASspdIiPPAAJf3ybY2NirpqEKTkkmnVNXBEYo6szdHFt3ZXaM5sWU/f/7778vt0qgqOzevYL583ty8OBPeu0eHnVp2rSHyfxBDg4u1KvXlnr12mBr66AqAZUHQnUWG+B+Qhp9fX0NznLz2rors2M0L8aela2tLXXq1DFwRsUiM1NLUlICXl71ady4KzVr1tU7rsshdPduHL/8sgh7e2e6dZtgIWlVKgPqisAA9zNzDw4OxtHRUa8tv63bmAO0MjhG8xIcHIyDg37uHGtra2bPno23t7eFpCodUlPvMWyYDVOm+NGjx2RmzfqdwMB+JCTc4NVXH+Httx/N6XvvXjwhIa/xyy8fFRjn5MmdbN78Af/99yuffPIcK1aMKc3bUKlgqIrAAPczcw8KCmLlypVUqaLkjvfy8ipg+zdHWVQGgoKCePvtt6levTpCCPz8/Fi9enWlMJHpCs6np6eQnp6S025lZUNU1Dmioy/mRFK5uNSgd+9XeOKJcQXGOXbsV374YRbnzv3JwYMbOHbs19K5gXKMVptBcvIdS4tRJlFNQwYwx8xjiKCgIEJCQvjtt99Yvnw5/fr1K3AcYPTo0aSnp+Ph4cGiRYsqjU08L1ZWVsTHxzN9+nQWLFhAZGQk27Ztw9PTk5YtW1pavBLjzh3Fk9ygwWM5KSIAnJ2rsXDhGeztnfnii+H88896XnxxDcOHf2xwnCZNumNr60izZj0ICGiJg4NavN4Ut25dY8oUP9zcavP555XLFGsOqiIwQHBwMOPGjSMlJXfGZs7MferUqfz2229MmTKFjkbc+0FBQXTt2pW7d+/i4+NTwERSWWjSpAn9+/fHysqKzZs389dff7Fo0SJGjx7NV199ZWnxSgxv74ZMm7YRJ6dqzJjRnOjoiwQHH6F27cZ4ez8CgFabTlZWJlZWxv89W7bsQ8uWfUpL7HKPnZ0TQmgQQjWCGEJVBAbQzdBHjhxJZmam2SGNulVEly5dqF7deLFxT09PPD09i0/gckivXr1Yt24d8+fPz2nr3r07jRo1sqBUJU+VKjVo3foZANLSksnISMPWVt9cOHXqD2RmhiCEIDr6EmlpSdSu3RiNxsoSIlcIpJTMn38cV1cvS4tSJlEVgRGCgoJ4/PHH0Wg01KxZE2vrwh/VN998Q2xsbKEv+ZCQEKZMmcLgwYNZunRpcYlc7mjYsCG1atUiKiqKjh07smPHDkuLVCps27aYf//9kWHDFtK0aQ9sbOwB2Lx5HvHx1xk48D2qVKkBwKxZgSQnJ7JqVQJOTq45Y1y/foasrEw8POry33+/kJSUQKdOI9QCNkY4cmQzX345js6dRzNhQsVdcd4vqiIwglarxdXVFQcHB6yszJuJVatWDa1Wy7p167CxsckJOc3PG2+8QUJCAtevXy9OkcsVcXFxjBs3junTp2NnZ2dpcUqNmzev8NNP75KScoebNy9jZ5e7Gti/fy1RUefo0WNyjiLw9m5Iauo9MjMz9MZZtmwkV64cYc6cg6xd+z9u376Bv38LrKxsCAhoUar3VB6ws3PE27shNWr4WVqUMolqMDPC0aNHcXFxoV27dkU6Ly4ujsmTJ7NgwQKjfWJjYwH48ssvH0jG8szUqVPx9PTkxx9/zGmTUpKUlGRBqUqeS5cOkpJyh+rVfXjsMf3sov36vcGoUZ+xdesCPv54ADduXOD99/9mwYKTVKnirtfXw6MuPj6NcHSsSvv2g3niiXG8/XZbZs5sSXx8VGneUrmgQ4eh1KkTyKlTu0hIuGFpccoc6orACBkZygzs8OHDXLlypdCNTlJKxo0bh62tLWPHjuWhhx4y2nfJkiUkJSWZ9CNUdJydnXF3d6dKlSpIKdFqtbi4uKDVasnIyKiwO2Vr1gzg8cdfoFath1m2bCTVqtXKMVU8/vgoAGbObMXVq//Rv/9Mo+O8/PL6nO91kUV79igTi/R0Ne+QIS5fPkRU1DmSkhKoVk31FeRFzTVkgo4dO3LgwAH2799vNApIx927d6lSpQo2NjbUqlWLa9eu4evrS3BwcKUMDzWHhISEHGU4f/58goOD0Wq1REdH5+zHKG+Ym2soJuYqU6fWoUYNXz77TD9U+cyZfdy9e4vGjbvq+QVUHoxz5/5CyiwCAlphb+9kaXGKjJpryEJMmzaNZcuWUbdu3UL7WltbM2aMsruzsAyk165dY9SoUcyYMcPQUJWGX3/N3QQ1b948lixZQnJycrlVAuZy504s+/atpmnT7owevSyn/fbtaE6c2IGDgwtt2z6Lk5Mry5e/wJQpfpw7t9/oeKmp90hIuKG3QU1FnyVLhrBsmVLtrTwqgZJGVQQmGDBgABMnTsTLq/BlpIODA7///nuOSUlH/tQUaWlpbNiwgTVr1vDzzz8Xu8zlhZCQECZMyM2fk5iYyKRJkyp8Wu7U1CSioy+yceP7REdfokWL3jnHjh7dyvz5Pdmx4/Octrt3b3Hr1jWSkm7ntEkpefHFWrz8cgCZmVo++2wIL71Uiz17viQ9PYXMTG2p3lN5IC7uGjExV9R9BEZQn4oRNm3aRJcuXfjss8/MPsec1BS3bt3itddeAzDpUK7o5E/HDYrSHDZsWIWu0/D778t5550OAPToMUXvWK1aD9O4cTeuXDnMH398Q3p6KqNHL2PJkqs0adItp59Wm87t2zeIj4/EysoaFxclwmjNmqmMHOnIiRPbS++GygnTp29l9OhlnD69h2vXTllanDJHoYpACKERQrQQQvQRQjwhhKhp7uBCiJ5CiPNCiEtCiAJ2ECGErxBirxDimBDipBCit6FxLEFYWBh//PEHS5YsITIystD+V69epUaNGgaP5U1NYWVlRY8ePXj++efp27dvsclbWhRXYZ38SiAvxkxqFQFra1tcXGrQvv0QbGzs9Uw+jzzSiVmzdhEXF8GKFaNJT0/Bzc0Hd3d/vf0B1ta2LFt2g48/Pg/AxInf0LVr7upKXREUxNm5OlevHuGnn97h4sV/LS1OmcOos1gIURd4A+gGXARiAXugPpAMrADWSCmzjJxvBVwAngSuA4eBIVLKM3n6rASOSSmXCSEaAtuklP6mBC4tZ/H169dp2bIlsbGxfP/99wwePNhk/6VLlzJp0iSsra3RanP/EStS4ZniLKxTq1YtbtwwHcaXt6hPecFcZ/HevV+zcuUYOnUayYsvrtY79s03U0hNvcuYMcuxtbU3+9q6/+WKGnFlioSEG6xcOZYaNfwYM8bwJs1//vmRS5cO0rbts9Sv376UJXxwStJZbCp8dC6wDJgg82mL7FXBUGA4sMbI+W2AS1LKK9nnrAf6A2fy9JGAzjNYFSgzAdA+Pj68+uqr/Pnnn3h4eBTa39vbmz59+lCzZk327NlTaNTQxo0bSU5OJigoqNz845pKz11URfDRRx8ZNA/lpSLXabC1tad27Sb4+TXXa5dS8vzzwdjbO6PRaPjvv185cWI7LVr0pnnzXibHLC9/RyVBcvJtjh/fRq1aDXLaoqMv8cknA7G1dcDbuyFVqrgzfPgiC0pZdimx8FEhxECgp5RybPbPw4G2UsrJefp4ATuBaoAT0E1KedTAWOOB8QC+vr6tjJU5LA9IKRFCYG9vT1paGikpKdjbmz/rsyQajcZgsXkhBFlZBheGJgkJCWHWrFlGy1ZW5BVBcHA3QkN3M2PGdpo165HT/uqrDYiKOs+SJWG4u/vllK189tl3GDjwXQBiY8PZtGkunp4P0a/f6+zd+xW//76cxx8fRffuk0rozso2KSl3OXt2HzY29jn+lISEG7z0Uq2cPlWquLNihZl1RPMhJRw5oszKzYgdKREsHj4qhGgvhBgqhBih+9y/OHoMAVZLKX2A3sA6YcCtL6VcKaUMlFIGuru7FxikJPjtt99YvHgxp0+fLrRvfrv5Rx99hL+/Px06dCjQ9/fff8fGxoa0tDSCgoLu6wVqKYqrsI6UkrfeeourV69y9epVvv3220pTp2HbtsW89VZbIiJCqVu3jV4qagA7O2cAbty4AEDz5r0YOfJTmjfPdZ8lJESxd+8qjhzZBEBo6G6uXDnCN99M5oMPunPgwPeldDdlBwcHF/7++3vWrJnKzZuXASVlB0C7doMZO3Yl/fvP5MaNC8TFRZg1ZmIirFkDFy7Apk3w8cewalWJ3YJFMcdZvA5YCHQEWmd/DGqVfEQCtfP87JPdlpcxwI8AUsp/UHwQhj2upcz69euZNm0ahw8fNjgL1qGzm+fdO/DOO+8QHh5ucKabmpqKVqulT58+Bl+AZZniKqyTnp5OcHAwc+bMQQiRU9RHF6br4eFRYfwq+bl58wqXLx/i6adnMnfuQRo16qJ3/LXXtgCwZMnzADz00KP07Pky9eq1yelTs2YAY8euoE+fVwFlZ3HPnlNp124wp07t4ubNS6V0N2WLmzcvExl5hsTEm4BSiAbAy6s+XbuOw8nJlWnTHuaHH94yOkZUFISEwO3bsG4dbN8OwcGwYYNy/MwZo6eWa8xJMREINMzvJzCDw8BDQogAFAUwGMWvkJdrQFdgtRDiERRFEFvE65QIPXr0YO3atbzwwgvExsYyffp0g/0M2c1TUlKoVasWZwz81fTt25e0tDQyMzNLRO6SRPdiHjt2LKmpqfj6+vLBBx/c1wt7zpw5equhoKAg4uPjefnllxk0aFCFVAIAffu+RseOQUaTn2k01ri6epncUezq6knXruP1fh458hNu3LhA584v4OlpPL1JRSU2NoyAgFa0a/c8/v5K0r0BA97imWdmkZWl/K+5uLjj6VkvJ9zWEF99pbzs//tPUQoA6em5x2uaHTNZvjBHEYQCnkCRMjVJKbVCiMnADsAK+FpKeVoI8T5wREr5M/Aq8KUQ4hUUx/Go+1A4JcLQoUMJDQ1l3rx5pOf9S8iHMYfmjRs3DO6QFUJga2uLVqvlzp07ODg4YGNjU2xylzTPPfccw4YNQ6PREBYWdl8OSjs7O956q+CsrFmzZkyaNIlOnToVh6hlEnd3P9zdjWfAdHX1YNmy3JiJO3diCQs7jpNTNerWNb0Q9/Kqj5dX/WKTtTwRFnaMXbuWEhjYn969X8lpDw3dzdatC3B19aRfvxksXnyxwLnJyRAXBxkZuTN+nRLo1QtsbODYMYiIgLS00rib0seoaUgIsVUI8TOKqeaMEGKHEOJn3cecwaWU26SU9aWUdaWUwdlts7OVAFLKM1LKDlLKZlLK5lLKncVxU8XF+++/j1arNVlLtzC7ubG4+8cee4yqVatSWnmTiguNRsOWLVt46qmn+PTTT4t17E6dOvH5558zaNCgYh23PHH27J988EF3fvhB+Zu7cOEf5s3rzsaN7+X0iYm5ytGjW7l+/f7sFGVjqlW8uLn50rXreJo06a7XHhERyqlTu9i/fx3btxv+e120CF5/HT76SPm5dWtwdARnZ3jmGRgyBN59VzlmYk5YrjG1IlhYalKUQS5fvoyUktq1a5usRxAcHGwwtr5jx4507NiRo0ePkpqaCigbpcaMGcMnn3zCkSNHcHFxKZCSoqxjZWVF+/bt6d+/P3/88Qf/+9//ijxGUlISoaGhVKtWjfr1K9cM9uDBn4iKOk+bNgNySlPmJS0tmVOnduX4papV86Jx4656YabHjv3K6tVTePLJlxg9+vPOcV8AACAASURBVIuc9qio85w8uRNPz4do3rynweuHhsKSJeDnB88/D/XqFfMNWog6dVqRlTWGo0e3cOjQRtq0GcDGjXPYu3cVdnZO2Nk5GQjVhcjI3FXA7dug0cCIEWBtrRx3cVGO2Wb79FNTlfaKFqlrVBFIKfeVpiBljQEDBnDy5EmOHz9Os2bNjPbT2bJnzZqlt3fg22+/5cCBAwX6p6WlceTIEV5//XU+/PDDEpO/JHFzc2PChAl4e3uTmZlpduEeHWfOnOHRRx+lVatWeiuilJQUYmJisLW1NSu/U3nk77+/59ChjdSq1cCgIqhduxF2do64uSlxFnXrtmbWrN/1+ri5+dKyZV98fZvqtV+9epQ1a16mffsheoogNBS+/BL8/eH4cWVWGxoKp08rjtCAgOK/T0sQHn6CzZs/4PHHX6BNmwFcvnyYW7eu8eqrmwkM7E9cXASvvtoAZ+ca2Nr+xZ07uffetKnyXJo2BUMJAqytwcoKMjNBq1XMRRWJQn0EQogBwIdATUBkf6SUskKniPT29ubkyZMMGzaMSZMmMXHiRKN9k5OT8fHxYe7cuQwbNgyA6tWrs3274ZwvQgiGDs3vNy8fxMTEsG7dOrp06cLzzz9/X2PY2dnRunVrHnlE/0W4a9cu+vfvz1NPPVVhE/K1aTPQqBIAcHOrzaJF5006NAMD+xEY2K9Au5fXw3TvPok6dVrntGVkKEogJiZ3f0OnTnDjBly8CNHRFUMRJCcn4ubmQ79+b/DII48DMHDge3TtOp46dRTfikZjTVTUeZydvbl3TzlP5+IbNKjw1ZGdneJPSEurhIoAWAA8JaU8W9LClCW2bdvGsmXLeOmllzhx4oTJvseOHePAgQN6tu1evXrh5+dnMITU19fX5CqjLBMeHs5rr71GYGDgfSuCpk2bcujQoQLtLi4u+Pr64ubm9qBillk6dBhSaB83N58CbVlZWWg0pqO969RpRZ06rQA4dAh27wYnJ0UBeHsrCgCgb18lHv7iRagoBeF27VrG+vVv0q/fGzk7sAMCWhAQ0ILQ0N0cO/YrgYFPs3DhGXbt8iZveWxvbzAj07yeInB2LqEbsRDmKIKblU0J6OjZsyebN28moJAp0+zZsxk0aFCBKmbG/AfBwcF88cUXbNiwgcmTJzNw4MASkb8kqFGjBq+88gphYWHUqlWL6OjoYivA06VLF6O7jCsrCQk3mDq1Dk5O1XKiibTaDDQaqwKKISND+SQlwdKl+hEuw4dD3rmHbjuIiQwf5QobG3tcXT1xcqpW4FhwcDfAin37HqVNm0acyk4+Onw4HD2qRAaZY/PXldauiA5jo4og2yQEcEQI8QOwGcj505JSbixh2SxOQEBAoUoAwNPTE09PT722GzduYG9vzyuvvMLatWu5fv06Pj4+jBgxgoyMDHbt2sW+ffvKXQbSgIAAWrVqxeeff57j6NZlCwUqbPx/UYmICGXz5g8YPPgD3N39c9qjos6TkZGKh0c9swqk2NjYk5GRSkZGbtGZVasmsG/fN0yY8DWdO78AKLbr99/P4soVgatrJmlp1jzyiGLbrl1bXwlAriJIqSC1bHr3/h89e77M1av/cerU7zRp0o19+1aj1aYzevQy9u2L4Pz5RpxXErbi7Azdu0PvIuQ71jmMK2IIqam15lPZnyoo2Ua752krX2+vIpKVlUVAQACNGzc2uasYjIeHHjp0iIEDB3LgwAHq16+PlJLly5cTERHBCy+8QKNGjdi7d2+hWU3LIrNmzSq0AI8pQkJC8PDwMLpJryKwYcNs/v77e9av1687vGzZSGbMaM61ayfNGsfJyZU1a5L58sv4nLbMTOXZ29jYc+OGEvO+YwdcuqQhK0sQH2+NiwtMnQozZyoz3/xUtBWBguTtt9swb153MjO1/PjjW6xaNYGWLfvw8MP6u9+bNUvDuogV23UrgoqoCEw9il3ADillXGkJU1ZISUnJSXb21Vdf4ePjQ8+eBcPxQkJCGDduHCnZ06q8M+OICCWfyR9//AEoaZczMjJyah/36dOH9u3LXyrchIQEswrwmOL27dvExMSQlM9AfeHCBZ599lnq1KnDli1bHlhWS9KkyZNERZ0vkO7Yw6MeaWnJODi4mDWOsgHRQa9t0qR1vPjiamJi4I03FFOFLnDLyWkmzs6NmTRpKFWrGh/XIXvIiuIjANBorGjQoBPW1rakp6fQqdNIbt7Mws6uKjo3n4PD16SkNKJ9ey+gaDmyKqsiqA1sEELYALuB34BDZWXnb0ni4ODA5cuX+emnnxg3bhx9+/Y1qAhmzZqVowR0JCcnM3Xq1ALtt2/f5t69e4wbN45x48aVqPwlyY8//mh0lWRu8rkxY8YwcOBAbG31E65lZmYSGhpa7vZWGOLJJ1/kySdfLNA+efK3Dzz2uXNQrZoV69fn2qszM6FNG3jllQ/MGsMp2ypVXk1DWm26XsK+H354ixMnfmPgwPdp2bIPAM2aBfPeexAfr+wXcHCAoCCBVnuY+vWLHrVXKX0EUsoPgQ+FEC4oxWlGA8uFEGeB7SirhZulI2bpotFoqFOnDj179uTChQtGI3yMzYDj4gouonRlGGfNmkVwcDAtW7bkt99+o379+uXKT+Dg4EDNmjVJSEjQe2EXJfmcvb29wdTbAQEBnDhxAien8l9cPDExBmfn6lhZFdH+YIBVqyYQHx/JxImrCQurwbx5uTHttrbw/vtKOGiLFuaPWV5NQ8ePb+frr1+kYcPOTJz4TU77zZuXuXr1P1JS7uS0Hc1OaK/zCzRpAl27vnDf166sPgIApJR3pZSbpJQTpJQtUArWuANrS1w6C9O0aVNWrVrFlClTDB4vavplUMxH48aN49NPP+XVV1/l++/LV8rgESNGcPPmTebPn58TteLn51cs2ULt7e1p2rQpdc2J5SvjTJ1ah+HD7UhJufvAY506tYtjx34lJSWRrVuVNl3Owr59lV3Cjz6aO2M1h/JqGnJxcSM2NozwcP2Q7iFD5jN37mGaNlVSTGRmajl5MlWvz4NGbFdk05C59Qi8s2sSdELJPXRYStmjsPPKK9euXWPq1KksWbLEZD9jaZkLi4NPSUlhw4YNTJs2jT59+jywvJbg6aefznGqh4WFFUkJfPvtt4wdO5a9e/eWoISWIy0tmbS0JKTMYv58fZPirFmtmTLFj/j4wutg6xgw4CseeiiS33+vTWgoCHEPaM+QIdEMGJDbLyMjjddfb8rrrzcpdMzyahry82vO/PknCA4+rNfu7u5H3bqBbNkyj5EjHdm48ROuXbMGtAwbBs2bK8oyMvIsx49vL9Lz11GRFYE5O4s/BJ5HKTGpy50sgT9LUC6LEhERwZIlS2jdujXPPfccQgiD5SqDgoK4dOkSy5cv5+bNmznx9EChZRgTEhJYtKj8ls3z9fUlIiICBweHwjvnY//+/Xz11VcEBgbSpUtuPv7U1FTmzJmDRqNhzpw5xSluqWJn58jnn0cweXJtYmKu6h2Lj7/O7dvRGKi/ZJSzZ7tw8aKyAQygTZvbdOz4Bo0bu5A3u4eVlQ0REUqQvK4SnjHKq2non39+4Ny5P+nQYSgNG3YucFwIDenpKVy75ghYY2cXSp8+jdHNt1avnsf+/et48cU1dOpUtPpalVoRAE8DD0spK+DtG8bf359PPvmE69ev4+XlRfPmzTl27JjBvtu2bSM6OpoDBw4UiAIyVYbxfsxKZYGZM2eyadMm5syZc98b4UaOHElgYGBOBJWOrKwsPvjgA+zt7cu1IgClRsDHH1/A2bm6Xvu8ecfIyEijalXzEtvfuwd//618X7264qgMCvLB3b3g7mONRsP8+cexsSm89KlOf6ekQFaWkmytPHD+/H727PmSgIBWeopg165lJCbG0LnzaJ599h02b3bkyBF48snGeuf7+jalSZMnqVKl6JUOdT6CSuUszsMVwIY8m8kqOt7e3kydOpVz586xdu1aqlUruFtRR+PGjcnMzMTb21uvPSgoiKCgoJwKZvl3F7/33ntcvHgRKWW5ysAZERHBuXPnCkRFFYX27dsbDJ21s7Nj7ty55aaGsymsrKzx8ipYIMbV1dNA74KcOQNbtigv7IwM8Pa+zquvplOtWh1MPR4/P/MM4VZWygw3LU3JqFleCuV17DgcJ6fq7NjxGWfO7OXll9cDsHv3SsLDj9Oq1VPY2zvlZBTNl86Kvn1fo2/f1+7r2pVyRSCE+AzFBJQMHBdC7EZ/Z/HLJS+eZWnQoAE3b5oOjPrqq69MHjeWnTQyMjJHAfj5+RVLiobSYOHChbz55pt4eHgwceJEtFotq4qpkKuVlZXZm9LKMvv2rWH37hV07jyaJ54Ye19j/PCDUitXR2TkZMLChuLh4cf27Uuxs3OiS5fRDySnk5PyUktOLj+KoEGDjtSq1YCff55PTMwVtNoMrK1tePLJF4mPj6RatVps2aKY0Wxs4OGHi+/alVIRALr8wEeBipkK0ggRERFcuHABPz8/6hVDwvagoCBat27N3LlzWbduHe+9917OhjMoXykaPDw88PDwQErJihUrAFi5cqXJhGghISF6inDYsGG0adOGDh06VMgEc1FR57h48R+ios5x4cLfPPvs7Jw0E6tWTUSjsWLUqM+MPrO4OEUJ2NgoL2tr6xgaNfLA3d2PtLRk1qx52agi+OWXRdy+fYN+/WZQpYrp8t8681B58xNUqVKDN9/cgYNDbgJkXenO33+/yfr1AFk4O7/Ojz+m8cILnxUYw5wkfvmplPsIgETgbyllTGkJU1b4+eefmTx5Mi+++CJLly412k9Xc9ecP6j09HTWrVsHwEWd1y8PuhQNZV0R6BBCsHz5cmxsbEym4chvGgsPD2fevHlkZWXx119/0aFDB73+hw8fJiUlhXbt2pWrEp556dVrKi1a9Oazz4ayb983dOo0End3f7Kysti9W1GeL7zweYHztFrlpaxLzNq8OUybBllZNdFolPNSU+/Rvftko39ze/euIirqHF26jClUEZRHh/GFC39z924c9eq1NehnOXpUt7R5h4SERcTHP613fN++1axaNYHHHhvB+PFfFunalXVFMAz4QgiRDPwNHEBRDKGlIpmFCAkJ4d3sunTfffcd27dvx8/Pz2Co4/79++nWrRt9+vRh8+bNJsetU6cOq1at4vbt20yfPt3gyzM8PBx/f/8ybSZauHAhsbGxvPzyy0yYMKHQ/rNmzSoQPaVToM899xwLFizQu9fevXtz69YtYmJicHcvukOvLODq6omrqyejRi3h3r14vWLyY8YsJysr02BEz6efKkXTdVWx2rZVvuZ959vbOxuc4ero3XsaKSmJJusZ6CiPimDjxjmcOLGdN97YlpNuGuDSpUNoNNaEhSlVyEaNepyGDZ8vkJ7D2toWrTad9PSi3bSUEltb5XdWqRSBlHIggBDCH2if/ZkghPBF2UdQhLx95YP8s9fExEQSExO5ceOGwf5xcXFotVqzKnQ5OjoyZswYAD777DOj0URl3Uy0evVqTp8+zYgRIwo4yA1hKv9QVFRUgXtt27Ytd+7cMRn6WF5o3foZvZ81Gg3duhlWnsnJSoH0rCxITFTMQi1bKsfS01NJTk7ExsYOJydXk9fs2tX89CXlURHUq9cWKytrjh+/x/79G+nVy5t69doyZ05n0tM9gKvZmUW7GUwt3bbtQFq3HoCNjfm770JCpnPo0EZGjToJOFVIRWDOzuIw4D/gGHAciAGKHjxeDjA0ewWMRg0NGDCAlJSUQh3G+TG0ES0vunQUebOZlhWmT5/O/Pnz8fLyYs+ePWzcuLFA8ri8FBYmmz9r6S+//MKff/5JDUP1AssJGza8wy+/LCI9PbXwztmEhiq7hT08lLTRffvm2vB/++0TXnzRky1b5pGcfIfY2HDu3Ys3PaAZlDdFcOgQNGr0LtOmbWXPnt78/fcADh06xuXL4OKyhOrVlYlWgwbG6wtYW9tia2tfpInGL78sJCbmClFR/wGVbEUghJgJtENJJ3Ee+Bf4HBgvpcw0dl55xtjsNTo62ug5xvLmGGLnzp0MGzaMQYMGsXLlSkaMGJFjJjGEbnVw4MABtm3bphd1ZKnVwsiRI3O+Hz9+PJcvX+b8+fNGQ2ANFefJj7lZS8sDWm0GmzYpeyDatBnAtWunuH79NLt2LaV+/fZ07DgMe3tnGjVSNtIlJyurgOPHlfM7d4an9c3aODi4UKWKO82b92LVqgn888962rQZwCuv/F+B60dFnef27Wh8fBoWGitfnhTBrVvwySdgbw+vvQYZGcrWaI3mcdasgbi4sTk2fBeX83z88Zs4OVWjQ4cgGjd+4oGuvXDhWRITb2Jv3waofM7iEUASsBXFR3BQSplYKlJZCF9fX6OlJYuDadOmERsby9KlS/n1119ZsGABixcvJjLS+Hb35ORkli9fnuNTKEumo27dutG4cWOTilAn48yZM42+8Mvr5jpDZGVlMnjwPFJS7nDixHa+/vol3N39iY+/TkREKAsX9qNatVosXRpJVha8+aaS70c3QW3evOCYgYFP06xZT2rWrENcXARnz+5j8OB5Bq///fczOHJkM6+88n+0aTPAYB8d5UkRXLgAUiob4EJCJErpdIiNfYRLl5Q+upn6lSuLCQ/fBIC7u7+eIoiPj2Lt2qk4OVVj3LiVZl3b27sB3t4NiI3Vv05FwpSPoIEQojqKb6AzMEMI4QycQHEaf2Ps3PJKcHCwXn0BABsbG1q0aEF6enqBtMlvvvkmly9f5u2336ZJE9P5XUJCQvSihcLDw5k9ezYjR45kzZo1JmfM+R3LloowklKya9cuHB0d6dChA8uXLzfrvKCgIBISEgwm78uftfTJJ5/k0KFD7Nmzh1atWhWb7KWFra09/fq9AUBo6G5atuyLRmPN9Olbsba2Zd26aTnlFCMjcwvKA7i6Kgnk8lO9eq4v5rHHhtO27SBsbQ0r39q1G3PvXjyOjqZ9CVA+FEFWlqIk8wbaXbmSa9b5919FQQihfLWxgbZt65GR0SB793EXvfEyMzM4ePAn3NxqF1kWGxtFAVUqRQAgpYwHfhFCbAdaAZ2ACSgpqSucIsg7e42IiMDX15fo6Gg2b95MamqqniIICQnh448/Jj09nf3797Nw4UKTL+ZZs2aRnm9NmZyczLZt21i5ciWvv/46UVFRZstqCXNKRkYGPXr0wMbGpsC9mOKjjz7izTffLNDu5ubGp59+qvfckpKSuHPnDmkV4L+tceOu+Pg05sUXPTl9eg+rViXw+uu/5Bw/d075amOj7B4ODDSvdq4xJQDw3HPmp+Yo64pAV3jniSf0FQGAEBKNBjIzlQdmbf0Zdnb16du3B/37v8YzzxjePVy1ak1efvkHg7WNDREfH8XUqQFoten06zcHeKtymYaEEP1QVgMdgEbAaZQQ0ldRTEUVDt3GJ50SCA4OJjw8HK1WqxfTrosu0r0Mo6OjCzXXGHtxh4eH06hRIyIiInj++efZunWr3ktQCGEw1NQS5pSMjAy6deuW42iTUqLVatFoNCYjpxYtWkRmZkG3krOzc4Hn9euvvyKEwMXFvApeZY2kpDtcvnweJ6dqeHrW4+7dWwQEtMLJqVqB2H/dzuGhQ6FWLSiGvYtFoqwrgv/+U9Jf7Nih/CwEuLsrCsLXN43w8OPAowBkZPyEm9sN+ve/YHxAwNbWgXbtnjNbhps3L6HVKv/naWm3sr+Wr/xM5mDqVkYBscDrgKeU8jEp5Qwp5RYpZWypSFeK6F7u4eHhSClzbPF+fn7Mnj1bL8umoeiiwmr2mnpx//XXX6xfv56HH35YryhL1apVmThxosFU1+YWgSlOnJyc2LVrFzt37gSUcpu2trY5PxsjJsbwnkRDyrFatWq4urqaFZJbFrl06RhvvdWGFSuUCBZv70eYPn0rnp4P8fXXk8jMlKxZA/v25SqCBg2gadPST/NQ1hWBzvafmal8fHxAl6w2MFCDo+NZAGxtJZ9//hPvvLM/u7+Wkyd3cfjwJpKSbj+QDG5utenXbwbDhi1i5MjF6OaDFaCInh6mfAQDAIQQvaSUeoshIcREKWWhBmIhRE/gU8AKWCWlnG+gz3PAuyh5jU5IKYteQ64YMPVyzz9rvZ+avYaiZ+zs7HjuuedwcnIiKCgIjUajF0WUlJREhw4d6NChAzNmzCAyMhIfHx/mzZtncUcxKP4TjUZTaGnJknbClyVsbe0JCGiFt3cDkpPvMHasYoKQUvm97tp1EtifY9N2cIDifAybNgWzdeuHPP30rBxfhTHKqiJIT1cyfeoUgY6HHoKnnoI6daBhQ1v8/V9g0SJo2FDg5pYbIfXXXyEsXz4KgOnTf8kpXanjn39+5N69ODp1GomdnWntW7NmAEOG5Drm7ewUJZCWVrRCQGUdcxY3bwshctzuQojXgf6FnSSEsAK+AHoBDYEhQoiG+fo8BLwJdJBSNgL+VwTZixVTL3dd2gNQVg7GtveberEFBQWxcuVK/Pz8EELg5+fHV199xdq1a2nTpg2Ojo4FQkm1Wi0vv/wyM2bM4Pr160gpc7KaliYhISH4+/uj0Wj09jZs2rSJzMxM+vXrZ/J8YwV8DK1qvvjiC4YNG8bBgweL7wZKkUceacsHHxxh7NgVODi4IITA3t6Z4cMX06XLWEAJQdRZ++rVK14TQ1ZWJikpd0lLK7z0WFlUBMeOwciRsGkT3LypvGx1+xbr14fFi/uzY8dTZGWl0qoVTJ4MY/Pl9cubesJQGopvv32Vr79+ibt3bxVZvoqaZsKcNNT9UBzG04GeQAPMUAQof/GXpJRXAIQQ67PPO5OnzzjgCyllAoAl8xoZm7VaWVnRpk0bQkNDOX78OOPHjzdo7zbHXGPsJd6oUSOjaZ3j4+OJj8/dPLR48WIaN25casrAUK6gESOUgh7mytC2bVuCgoL4+eefiYmJMbkXQmcm69OnD211ORbKKUII1qxJwdo617+UnCw5eDA3yqW4M5D37fsavXpNxda2cDuTztqZav6+txLncHbhsQ0blK8BATBiBPzzD7RvD19++RuZmRloNBqEgA4d4Nq1U2zYsBh//+b07PkyzZv34vvvjee/atfueVJT72JtXfiUPirqPNHRF9m1axnVq3tjZ6eEnFY0h3GhikBKeSvbcfw7SibSgdJUlrFcvIGIPD9fB/L/Z9cHEEIcQDEfvSul3G6O4MWNIdONo6MjjRs3JisrCxsbG6M7j62srO6rZm9kZCSnT5/Gy8vLqCLKT1paWqmGjhrLFVQUGf7++2++/PJLhg8fztq1pktdT5w4kd69e/Poo4/et8xlCZ0SSE9XooN0oY+TJsHZs9C9e/FerzBTR17yKoKy4vy8ckX5mnfFFBCgfACmT9+KVpuOlZUNq1ZN4ODB/+PRRwexb9833LnTh549C8+OP2zYQrPl2bJlHn/+uQaAKlVq4uamKIKKtiIw+qsXQtwVQtwRQtwBLqG8tAcBurbiwBp4CGWfwhDgSyFEgQBoIcR4IcQRIcSR2NiS8VMbMt2sXLmSgwcPcvjwYerXr2/UfJSVlXVfL+YtW7bQo0cPPvroI2bPnm0y7UReSjN01JTJbOXKlfTq1YtNmzaZHKNOnTqMGjWKxx57rNDrPf744wwfPpwA3X9+OWPHjjVMnOjJd9/l2uevXIFRoyQffHCV2FjFvNCunWLSqFLFxGAljEajyCJl2XixpafD9ev6bfkjqZo160GrVk8hhCA9PZV79+KoWtWT8eO/okePgvtUHhQ3t9rUrt2Exx4bwYsvrkYIZfl048b1Qs4sX5hyFj9o/F4kkHfXhk92W16uo+xYzgCuCiEuoCgGvcrUUsqVwEqAwMBAc1Yj90X9+vV55plnaNu2LYMHDy5wvLidnnXq1KFbt25s3bqVdevW8fTTT3Ps2DGuXbuGlLKA8/hBr3c/GLtnjUbD5s2b2b59O127djU5RseOHQuUpayoJCUlkph4k7S03FXUsWMgpSA0VFFuVateQ6Mpmd/hhQv/sHPnF9Sr18as2bGDg6IEUlJyVwiWICsLrl1TooNq1QJra8VHYKqwzNChCxg6dAEuLm5YWem/yoYMUVZen38egZubflnP1NQkkpMTcXSsir29E6Z47rk5enszvv76PPAwJ08eoEOH54t2k2UYUysCf1MnCoWChVNzOQw8JIQIEELYAoMpWOBmM8pqACFEDZRVx5VCpS4GDDlAT548ySeffMIOXeByPori9DSHnj17smvXLqZOnYqDgwPt2rUjLCyMa9euYWdnR61atQpcz9bWtlRDR40lyMvMzGTv3r289tprPPvss8V2vVOnTvHDDz9w5syZwjuXMb7+Gs6de4l586IZNOj9nPawMP1+VlbHS0yG+PjrHDgQwtmzf5rVX5cd5AEqjz4w27Ypq6Nt25Sf69WD2bNh0SJlt7WO9PQUdu78gj//VMyLrq4euLp6FFACAD4+jXByqmbQWbxy5VgmTfLm6NGi19tydlYemIODR5HPLcuYsgp+JIT4PyHECCFEIyFETSGErxDiCSHEHJTNZY8YO1lKqQUmAzuAs8CPUsrTQoj3s30OZB+LE0KcAfYC06WUccVyZyYwtmfg1q1bLFq0iOeey91wEhQUhIeHB3v27MkxH+k2l3l6et6XbyA/7777LsnJyUyfPh0AHx8fUlNTiYiIoH379nq5fPr27VuqUUO6ezYU15+amsqGDRsKNePcu3ePW7dukWqGVzIkJITBgwfz88/lryjet9/C7t3W3LrlgbNz7s5VnSIQQlnMdupk9N/mgalbtw0vvbSOXr3MC8DLW8TeUhw8qFz/n3+Un+vUUSqz5S9el5ycyDffTOa7717Xa79x4wKHD28iIuJ0TtuHH55g6dIorK3108IAVKnijqurl1kZSHXu0JMnd7Ft22Ju3VL2LtSt27kId1j2MWUabFspQwAAIABJREFUGpQd7hmEklLCC6V+8VlgGxAspTT5ny2l3JbdN2/b7DzfS2Ba9qfUMLZnYNmyZYTlm74lJiYSExOTk2o5KCiIc+fOcfHiRRYvXoyXl9cDy6Mrm2foDzMmJobU1FR+/vlnvL29zaoBUNx06tTJYKQUmOevWLx4MbNnz2bWrFnMnTvXZN9mzZoxaNAgo9lMyzKtW8PevYpPICAAdu5UsoneuqXExQ8fLjh2DHr2LFjUvrhwd/fD3d1AwiIjWDpySGcSykudOob7Wlvb8eSTL2Fnp5hz4uIi2LJlPrt2KVUE+/R5NccRrNFYYWtreFPiqFFLGDVqSaGyabUZjB5dhapVa+Lm5sv5838By4CyFWlVHBSWa+gMUP6rieejKBvCVq9ejVar1atJMGeO+flcTHHu3DlatGhBQECAUVPI6tWriYqKolOnThZLu2CotKYOV1dX/vjjDzp37my0j62tLW5ubmbJP2TIEIYMGXI/Ylqc1q2Vr/v2hXLlSnVOnKjFf0oKe3x9oXPnDDp3lgZnqZbC0iuC2FjlpaoLp9VoDCfeA3B2rsbo0V/kaRE5SiAwsD+1a5tO/FhU7t2LIyMjlfT0FFq06EPVqjVJSGjMxYuQlKTFvOj78kHFuZMiYMwB6unpyd69e2nQoEHOTL8kC6Q4ODiQmprK2bNn6dq1K0uWLKFRo0aA8kK8cuUKW7ZsoUWLFiUmgzn4+PjQt29fdu7cqZdszsbGhoSEBNavX29SEbzxxhu88YbpXa4VAZ0iiI/3IjVViVHXRcGkpf3N8OEd8PZuyIQJX/HQQyUXHnvvXgI7d35BQkIUY8YYr7kNllcEun/DJk2UlYCrq7J6Mofq1b0ZMeITvL0b0rhx1yIXoy8MV1dPVq9WHMvVqinvg5CQO1y8CFu2fMHTT08t1utZkjIQOVz6GHOAxsfH88QTT7Blyxaj52ZkZBAZGWl0A1hRqF27NsnJyTRr1ow9e/boJZs7duwYhw4dIiEhAYCzZ8/yzjvv8O233z7wdYtK/fr12bp1K19//bVeeO2MGTOYOHEijz/+eLFdKysri5SUFLP8CWUNX19wds4A3EhOdtY7Vr26EvYcGXmGv/9eX6JyaLVpbNz4Prt3ryA2NsxkX0s5iyMjlWgqnSLw94fnn4cePYyfk5GRxq1b17hzR9kRLISgV6+pNG36ZJGUwOHDm5g5M5CNGwtf2dvZOeYoAQAXF/tsWWwNJoMsr1RKRaBzgLrl80alpaWh0Wi4fPlyTtu3337LuHHj2LdvHwCXLl3Cx8enWGbpGo0GBwcHVq9ezc6dO3nooVzb8erVq9m2bRvff/893333HRcuXOD999/nxx9/fODr3i9BQUGEhYWRlZVFWFgY77//PsuWLStWU86KFStwdHTklVde0Ws3luaiLCEENGqUu4s4b8TLs8/25c03d9Kly1jq129XonK4unoyYcLXTJ++tdAi9rr5UGkrgk8/hQUL4I8/lJ/NiYgODz/BlCl+LFigXy5dq00nM1Nr9rWTk+9w9epRoqMvFd45m8xMLTt2fM61a38B0LHjxApRV1tHoYpACLFRCNFHCFGhlEZQUBDOzs4F2rOystig29+OkvJg1apVOTb8lJQUvLy8isVJrKN58+Y8+eSTejb0Rx99FC8vL+bMmcOHH37II488wrvvvsuwYcOK7brmEhsby5kzZ7h1q+i5WQDmzp1Lu3bt2Lp1a6F9daU/887wjEV5lUVlkDfuffBg8PTUFZyxomnTJxk//kvatSv5+PPHHhtGixa9sbcv+DeeF0usCJKTISI754Aue4oxv0BehNDg5labqlU9c9ru3o1j5EhHhg2zYffuL826fosWvZk79zDPP286DPvIkZ9ZsmQIf/+9nt27V7B69RQOHFCcxSkpFUcJgHk+gqXAC8ASIcQG4Bsp5fmSFavkiYuLM5rSIa/TeOjQoWi1WubMmcOkSZPw9fXlo48+KrYQznHjxhEZGUlISIieQxqgevXqvPHGG9SoUYP6/9/eecdVWb5//H2zh2zcA1yIe1vuhpotNc00cWtm5kit1MyfqWllZuZK/WpphrbMzBzlKM2s3JV7KyIqggwBQeD+/fGcgwc4CzgLeN6v13lxzrPO5zzn8FzPfd3XCAtj+vTpFnnPgrJ27VomTpzI+PHjmT9/fs7y9PR0YmNjcXFxoUKFCgb3P3fuHH/99VeumkmGGDJkCEOGDMm1bNy4cWZXhrU37u4nUNp3KG0nW7RQImPM9XvbGnvMEeT9t3N1BXPuq2rWbMHixbkDOuLjo8nOViLajDXs0cXXt6zJfs4Ax4/v5M8/v6J69WYEB2stVTJQ8qKGTN7lSyl3SikjgGbAZWCnEGK/EGKIEMLV+N6Oy7W8uew66GbuRkVFsX79emJiYqxyN7pt2za2bduWL0lsx44dfPnll/Tu3ZvXX9ffbclW+Pr6UrduXSpVqpRr+Z49e6hatSoDBgwwuv/06dPZv38/Tz75ZIHfOzIykrg4/akljtj0/u+/pwI3qFkzFj8/JR7exwfOn/+b6dPbsmLF8FxZx9bkyJGf+OKL8dy5E2NwG3uEj166pPzVDsirVYPCtp+oXLkurVv3pW/f92jbtuA3BUlJsbz+ej1Wr86fhd258yheeWUNzZo9Q+vWL7B+vWTGDKUU2vnzJzl5ck/hRDsgZkUNCSGCgP7AAOAoEAm0AwahyQwubgQGBvLUU0+xY8eOfPX0X3755ZznBelTUBjee+89Bg4cyKJFi5g370ExrE2bNrFkyRLKlClD8+bNSU9P5/jx42RnZ9NSG55iI4YPH87wvLV+AR8fHypVqkRgYKDR/WvUqEENQ8HhJihssx970ahRQ4QYyQsvzAQe3HWmpiZy9ux+zp7dT4UKYXTr9qbhg1iIn39ezL///kzt2q0NduWy5Yhg1y4lPFRbWK53b8UA1atnfD9juLi4Mnbs+gLtk5QUy44dn+Lp6UO5cjWJjj5FdPQp4uKiGDfum5xCgdqm9bpoXWmpqdncuHGOevUsFyhhT0waAiHERqAOsBZ4Vkqpvb34WghxyJrirEnVqlXZsmULS5cuZfTo0UgpcXFxITMzk+eeey5nO2MtJi1Bt27deOutt/JFPXTp0oWEhAS8vb1JTk4mISGBFi1aULlyZaOjGVvSunVroqPzlo8qGgcPHmTKlCk0a9aMuXPnmmz242gMGTILfQ3ZQkObUb16cy5dOoynp20qzXXoMJDatR+mWjXD8fW2MgRJSbBypfJcOxKoWVN5mMs///zMunVv0qTJk7z4Yr4eV2aTmprId99Np3z5msybd5JZs/5i2rSHOXToB86c2Uf9+o8a3Fd7vnx9a9KkifEboOKEOSOChVLKX/WtkFK2sLAemzN48GBeffVVPDw8SE5OJjU1NVe7SF9fXxITE/Ptl9efX1j8/Pz0XtC6devG7t27GT58OImJiQwZMoRmzZpRvrx1a5xo+zZfvXrVaN+AgrB27VqioqLo168foaGhRrdNTExk165dOa8N5XwEBQU53PyAMXx9g5kzx7b3TW3bmm72ZytDoHUHAdy9q7iCCjqgS06+zdWr/1K1aoMiafH1Lctzz72Nn195XFzcqFXrIV599Uuys7MIDVWiAW/cOM+hQz9Qq9bDhIc/KJioPV9ZWZ4EBtqxSp+FMccQBAgheuZZlgj8Z89GMkXlzp073Lp1i6CgIOLi4vDz88PZ2RnfPHWBBw4cyNKlS3OVWPDw8GDmzJl5D1ko9u7dy6lTp3j00UfzlVUIDAwkLCyMKlWqEBAQwOHDhy3ynobQ14RmxIgRrFmzhosXL/Lxxx/z7LPPFvi4q1atYs+ePbRp08akIWjatCk7duzISeQz1Cfik08+KbAOW5CRkY6UbsUmtNAehgCU/sOuBZxhbNr0ad5//xgeHkXLsPfy8stVURSgXbvcNxWnTu0lMvIN2rbtl8sQ6EZZSamEDJcEzAkJHQasRKk5FAH8D5gE/CGEMD5L6MD88MMPhIeH8+abbxIYGGiwWfrChQtZs2ZNTlSMq6srK1euZPTo0RbRMW/ePEaOHJmvpv/du3fp1asXW7ZsyVUEz5oYmg/Zt28fFy5cyJVVDEpjnaZNm9LFRHeV/v37M2XKFELMiBEMCgqiU6dONGnSBDDcJ8JRRwODBtWmXz8nbt/O7dK6fz+dnTuX88svSwzsaR3Onv2To0e35kTW5MVWhkA7L6CdTsrbZ8AcvL39CQlpTPnyhZtvysumTe8zZUoz/vrr23zrKlcO54knxtC0ae5+xy4u4Ooqyc6GPXusmxhoS8wxBK5AXSllLyllL5T+wxKl21ixrRvg5eVFWFhYTiSMdm5A24ZRi9ZVcvPmTYKDg5k1a5ZFL0LaIneTJ0/OlSi1a9cuGjRowIQJtqvHZ8gff+/ePc6dO6f3gn/s2DFOnDihZ68HDB8+nDlz5hSq2UxWVhb9+vXj8uXLHD9+nISEhFyT6o6Gtn9E3jaIUmazatVIPv98NP/8o7/MuTWYO/cp5s59mtTU/O5NsF0egXZEMH48vPAC6EzD2Q0ps7l8+SinTinRPydP7uHHHz8gNvYKYWFtGDx4oV73mpubkry2ZYt5eQvFAXNcQ1WklDd1Xt8Cqkop44UQ9w3t5Oj06dOHPn2UxJ53332XXbt28dtvv+VK6oqMjOSll17KKSdx+/Ztpk2bxqFDh1i5ciV+fn5F0hAZGcnZs2dzXmtdMQDVq1enbt26VKnyoOVDw4YNiYqK4uzZs5Qrl7/OelEx1ninlp5buHLlynH48GGzO6uZQ3x8PGvXrsXHxwd3d3fGjx9PbGwsPj4+zJw5k8TERLPyEezF119f48aN7HyuIVfXBzHuqakJNtNTr96jZGSkGcy81RqC9HTrtatMSlIqsLq7K/WECjMaAOVC/d9/O6hbtwONGhW9x2erVr2oWrVhzuTwtm0fc+jQJoKCqhmt4Orp6URKCjRpUgoa0+jwmxDiJyHEICHEIGCTZpk3YLtftBX5448/+O2333jppZdYtWpVzvKpU6fmqyl0//59vvvuu3whp4Vh6tSpueoLwYPQ1EuXLnHu3Dk+/fRTqlWrRmRkJElJSSQmJurtm2wJZs+ejWeeNlXGGu+4urrSrFkzDh8+bLT8w4kTJzh+/Hg+15I+4uLieO2115gyZQojRoxA25o0OTmZqVOnsnz58lwlQBwRfSXFhRAsWHCBWbP+pkGDTjbTMmHC90yevE1vgxZQLvxaY2DpXILMTKVZz+rVyuvq1YtmaM6e/YMffpjNiRN6Y1cKTKVKdWje/Nmc7OvmzbvTtetYypQJ5PDhzdy7l6J3P29vxY3cps0Ii+gwh7NnYdAgmDbNOsc352t5FfgcaKJ5fAG8KqVMkVIajrMqRkyaNInvv/+eWbNm0bt375zlxkIXmzdvXuSkMmOhqSNGjCAzU7mLi4qKYsSIEUyaNIn4+Hirxc9HRETkituvWrUqK1as4Pz584wfP56bN2/m28ec8g/PPPMMDRs2NCvsNTAwkDFjxpCenq53vmLOnDm4uBTPornly9egVq1W+PgEmd7YSvz3305OndpLbOyDkZ+15gn++Qd27HjQcKaobajDwzvQu/csGjbsXHRxenjkkSEMGvQJCQk3mDevGwsX6r/jt1c29sWLD0pzWBqjhkAI4QzsllJukFKO1zy+kyWg7N60adMICwtj/fr1PPLIIzz33HP5QjONXXCvXr1a5AxjQ8d3dnbWexGcO3cuAQEBBS63W5CCbX369GHUqFG88847XL16lYiICFavXs2CBQtymvPo8uqrrxpMuNNSp04d6tevb5YLKSgoiIULF5KUlKR3vSNmE2tJT0/nzTe78PHHz+tdn5h4i5iYc2Rk2LY+gZSS7OxspJTMmdOZmTM7MnZsaM56a13YTp9W/mrjMIqSOAYQHt6Onj3fpkGDx4p2IBN4eJShZs1WNGmiPxNeO4K6fj3a4CS8pdGm62iq1Fsco1cUKWUWkC2EKJoz3AGJjo7m3LlzOa6fmJgYPvvss1wx7IbKVWvJe8ErKIZ6IBelG1heClqwrVatWixZsiRXXaMZM2bw0UcfUbZs/vos+nIsQBnVaI3O9u3bOX78uNF6RHkxZCTLlClDjx499I5O7E1aWhqHD+/g+PGdetePHFmeCRPCOHr0J5tp+vzz0QwY4MbevWvIyEijdm2l8mmdOm1ztrFWmYlTSldHJkxQKo02b27Z41uDxMRbeHsH8H//t4fOnUfp3UZ7vlateoOUFNt4x7WD6aIaU0OYc2t5F/hPCLFKCLFQ+7COHNsxd+5cTp8+zXPPPcfZs2eZOHEiw4YN47333svZRjd00RBFuUM1FBpp6P38/f0ZOHAgR48eNfs9jJXIMMSVK1eYMGFCztzAwIEDmTBhgt4OY/66tZb1HKego6bs7GwuXrzI6NGj9c5X+Pr6smnTJm7pS9+1M15eXnzwwc+MGaM/rLBePcWTaulOWsZwcnIhKyuT1NRE3N29mDlzP+vXS955Z1/ONtrTbMmpp3v3lEghJyfl4lW1atFj7m/evMD583+TlBRrGZF6mDXrUWbPfpzo6JMGc0F0s4sLUv66KGgNgV1GBBq+B6YBe4HDOo9iTXBwMHXq1CEgIIA9e/awfr1SryRviKS2Br+hi3NR/fV5a/xHREQYHCnUqFGDtWvXcilPdo6u6yc4OJjg4OAcN5A5FVZ1uXDhAqdPn+bjjz9m3bp1JvUvXrwYDw/DVR8LOmq6f/8+NWvW5K233mLGjBk5y7VGcvny5WzYsIGqVauafUxb4ebmRosWXWjSpKve9VOn7mD58lgqVaqjd7016Nt3Dl98cY+nnjLczN4aIaRnzypRSNWrPzh+Udm8+UOmTXuYv//eYJkD6iEsrDW1a7fm/v10g9toDcGzz87C39+6mf4AycmQmKicR2uV1zI56yalXCOE8ASqFffy04bKJ9SrV49BgwbRsWPHfCWQtRjKcLVGvRttnkJereXLlyc6OprmOmPsvNnAupU6r1y5ghBCbyclQwZs8ODB7Nu3j6eeeorBgweTlZXF9u3bKVOmjN5OZFqtr732msF+BVo30cWLF03Ob3z33Xc4Oztz//59Fi1axIQJE2jfvj09evQwul9xwMnJGV9f67U+1Ye7+4MbioSEm/j6BuPklDt50pBrKCkpll9+WYqfX3k6dx5p1vvFx8OaNQ/6DNStW2jp+QgODqFmzVb4+5vvYiwoI0asNLmNrXIvMjOVCWKtpzg01DrhvWBe0blngXmAG1BdCNEEmCml7GYdSdZBX/mEwYMHExcXx9ixY2nbtq3R/Q1dnK2V4RoREWHWsfW5fnTRZwSMGTB/f3+Cg4P55JNPqFWrFomJiTzzzDMGay4dP36c0NBQ/vnnH1q2bMn169f1HvfatWsmjYD2O9LOkURFRbFs2TKaNWtmdD9H4datW2zc+DWurpVp1SpvVRb7IqVkzJhqZGdn0aDB48TGXmbq1J0EBVU1OFl88OBGNmx4B8BsQ7BtGxw48OB1eLjhbQtKjx5T6NFjiuUOWEhsFTW0dSusX/+gV4OJ6ixFwhz78g7QCk3OgJTyGGCZHG8bou+CmZmZyfvvK1UMk5OTuX37ttFYd31uHHtj7hyF1t9pqkTD5s2biY2NzUkgk1Ly5JNP8vjjj+vdvm/fvrRr1459+/bRrVu3fH5VLy8vFi1axLlz50xqNGc+49ixY6xevZp//vnH5PFszcWLF1m8eCw//viBvaXkcOnSURYs6M0XX7yGl5cfnp6+3LlznZiYs9y9q9y2a2ssJuSZ93RzK1iioJQPjECzZtC2LTRqVNRP4HhoDcFvv33L+fN/W+19tJPtMZp6z9Y0BOYEZN+XUibm+QfPtpIeq2Hognnjxg2klLzzzjvMnz+fKVOmMGfOHBurM48zZ87w33//UadOHRo2VCYcDWUD50VKiZubG7///rtB/7qu66xChQr07t2bt99+m61btxo8bsOGDTlx4gR9+vTB09Mz1whECMGgQYPMrstk6DvSXf7VV1/xwQcfMHv2bBo3bmzWcW1F2bJl6d79Vby8HGf+IjU1gb///o66dTuyfPktMjPvExNzFicnJ8qVq0FWViY1ajgDIifcU0v79v1p39781qiXL8OtW+DnBxMnWs+NYW8ejAikwdIdliBvob6i5mEYw5yv6oQQoh/gLISoLYRYBOy3niTrYMgnXq1aNeLi4nJaMBqLgrE333zzDb179+brr7/OWWYqxFWXjIyMnNpGeckbZhoTE8PChQtN1vX59NNP6dKlC+7u7vmysKWUfPrpp2Y3mzf0HWkrkQK0bNmSgQMH0qBB0UoRW4OaNWsyduxiunVznBJcVas2YOzYr+nbV7m5cXFxpWrV+lSuXJfs7CxGj67Krl39EQLOny9cCOnNm7B2LWzapLxu2dI6RmDBghd4+eXyHD++y/TGVkQ7R1CnzlPUqdPO+MaF5M4dZYJYtxamvV1DY1CasKYD64EkwHAIgoMye/Zs3N1zFwLT+sr9/Pzw9/enRo0avPHGG3ZSaJr69evTs2dP6tatmxMpNGDAAFxdXc3qj+Dt7W1wNGBormHNmjV65xm0+Pv78/PPPxt1qV25coUhQ4aYNAb6jJqzszNTpjzwC/fq1Ys1a9bQrVuxmqKyG76+ZWnd+gXCwtrkW5eYeJOEhBscO7aOGjWUScm8o4K7d+8QH3/daOLU2rWKP/tvjZfkoYcs+QkekJIST1LSLaO/R1vwIKq5TK7JeEuiHQ3UqaN0cnv6afP6OhcWc6KGUoGpmkexJSIigvv37+dEBfn7+zN69Gj69euHEII7d+7YWaFplISlw3z//fe5ooEMJXXp4uXlxfLlyw32AzDklrl16xYuLi507tyZ7du351qn60pycnIymAgHSlioqfae2nWTJ08mOjqaqlWrMmfOHIeYizGH5ORkbt6MJzXVD29vxxpZbtv2CX/++TVdu47Fy8uPEyd+pWHDTkREfIiXlz83b8KFC3DiBGgqgLNs2RD27FkNwKef3tAbKpmSopSSEEKZawgKsmykkC7jx39PRkaa3c+tNfIudMnOVtxsoIwCemriDqzZ+8DkiEAIESaEWCGE+EUIsVv7sJ4k6zF48GC6du1KpUqVSEhIyImcKUgJBnuh67oB/dFAhjCnhr8ht4y2PEFMTO4G6HldScaMgBZzJrYjIiKIiopi7dq1CCEYMGBAru8kOzs7p6mQo/H999/Tr18oa9bkb4RuT/74Yx1ffPEa5879SWpqIidP/sZPP33IxYuHeeaZ13nsseFoPW26FcWvXTuZ8zwrS3+RxUOHlDDHunXhf/+D994rfCN6U3h5+eLvXx5XV3fTG1sRrWvo9u14Tp/+3aLH/vZbePll2K9xvlvTHaSLOa6hb1Ea1r8NvKHzMIkQoqsQ4owQ4rwQYrKR7XoJIaQQwuqtL7dt28aFCxd44okn6NSpE+vWrStQCQZ7YSpM1BBCCFq3bk12djYHDhzId0HXYmqu4dy5c7nOiSE9hhr8gPnJd9ry3/q+k/379xMYGEiPHj0czoC7u7tTrlxVfHzyl+KwJ6tWvQLAxImbaNbsGRo37krfvu/h7R3A339v4ObNi4SFKU1XLl9+ED00fvwGZs8+xOef3yUoqIreY//1l/L34YeVvyWlY5cxHkwWZ3PhwkGLHnvvXqWVp7a2kDUniHUxxxBkSik/lVIekFIe1j5M7aQpWLcEeBKlmc2LQoh8lTKEED7AOMB6cVgaNmzYwMSJEzl06BDbt2/nl19+KVQJBntQ2FIWUkq++uorBg4cyEMPPcS33+bvxgSmy2mkpaXlOieG9GRnZ/Pll1/qzYw2N/lOX/lv7XcSEBCAn58fiYmJJg24rQ1F3759Wb/+KgMGfGTV9yko7dsPpFOnV6hbtwOBgZWpX/9RunefzI0b51iw4HmWLRsCpNKokRICqr24BwRU4eLF5ly65J3vmHfvwvffw3//KRPD1poX0GX9+iksXz6M+Hj9uSq2QvvTFiKQ2rXbW+y4cXFK3wYtbm6g6ZtldcwJH90shBgFbESZMAZASmmqO0gr4LyU8iKAEOIroDtwMs92s4APMHOUURR27NjB8uXLqVmzJu3aKbP95oQsOgLmhokaw8nJidN5ZwN1uHz5Mj179mTBggV6XU+658RYE5uIiAjS09MZNmwYoIRVjhkzxmxfv7Hv5NixY/j7+3PyZN6fkWIsBg0alPNaX/9loNjMOViKIUMW6V1epYpSuOb06b3Ex1+jXbswjhyBffuga1flQr9hg9JbeO5c0NYMTE+HmTMflER+7DHI0+rbKhw4sIEbN87ZPSrLxUVpuRkf74S/f0uLHfeMpm5DWJjifqpZ03YhuOYYAu1/lu6FWmI6qawyoFs9+xpKe8schBDNULqdbRFCWN0QvPDCC1y6dIkxY8Zw+vRpFi5caPSC5kjMnj2bIUOGmNUQRwihd/I2OzvbaE5AZGQkp06domLFinpdSLrnxFTJjSFDhrB582aOHDnC1atX2b17N9PM7Kph6DsJDAzM9555ycrKYsSIEXh6ehoc6ZU2Q5CRkcbXX79NuXLVeeKJ0aSmJhEV9R/VqjXikUeGkpAQg7OzK82aKW6PCxdg3bp7bN6sOMPv34cFC5KpW9eHjAyl41hUlGIYhg0rfCG09esn5yTfrV9ves7rxRff5+7dePz8rFdiwlwqVFDKaNy4AUVtFhgXp4Ttag1B06Zg64oq5kQNWcVLJYRwAuYDg83YdgQwAop2gX7sscfIzMzkl19+YdGiRfz33382rSFUFCIiIhg3blyuWkL6CAkJ4fLlywbLORgb6UyfPp2rV68SEBDAuHHjcp0TFxeXXOfEVMkNIQQbN27k6NGjvP322zkJcOZg6DsBzJonSU1NNbidNUd6H3/DiRPeAAAgAElEQVT8MYsXr6ZTp3E8+uhQq71PQYmJOcfWrfMpUyaQJ54YzeXLR5k16xHq1GnHO+/knuxs2VLxU2uNgDJYH8aVK8Ho2mY3N6X/cFHul1JSChap50hlOwICUgEvTp++QaNGhTdMUsK77yqJeGWURmmEhVlGY0EwaAiEEG9KKedqnveWUn6rs26OlPItE8eOBnSD1qtolmnxARqgtL0EqAD8KIToJqU8pHsgKeUKYAVAixYtihRE/NBDD/Hhhx/yxhtvkJ2dbfMaQkXBVK9eXQNWmJGOtoczgKenZy7DU0b7K9XBnHpITZs2ZcuWLUa30XdcyP+dDBgwoEDH0Yc1R3rXrl3j4sV/SUlxrJ7K69a9CUBQkPLv6OdXntq1H8bXtyzZ2Vm5itB17gx//AFBQZnUrLkbP78bBAffYdeuABo1csbXV4ks6tq16JUwBw1ayBNPjMHb23QOjKORkXEcaMXBg//ywguFNwRXryqjClBGWs7OikvI1ghDYYhCiCNSymZ5n+t7bWB/F+As8DiKATgI9JNSnjCw/W/A63mNQF5atGghDx0yuolBdu3ahZubG61atUIIQUZGht4LnKNirKx0SEhILgOWt8ielscff5ydO/U3TtFFG7mjO2nr5eVlMgxVl6ysLBITE/H09MzXW6AwGPv8eQkKCuLu3bu5ekIXVH9BuXHjBps33yQrq4JNyhObS2Tkm/zxRyR9+75Hhw4DAbh/P52BAz1wcXFjzRrlO9aOIu/dU+74Ha1ExMGDGxHCiaZNn8bZ2b7tSr/++ig//NCUSpXO8dFHtQt9nB9/VArLCaGMDmrVglmz9G9bpQq0K0IisxDisJRSb2Smsa9aGHiu73U+pJSZwGjgZ+AU8I2U8oQQYqYQwi5poS+88AIdOnQgKSkJNze3YmUEwHBHsy+//DJfEby8TW+0ZRqCgvT3y42Pj2fjxo0cPqwEhBmL3DGXXr16ERQUxLZt28zexxj6Pr+rqytubm65lnl5efHJJ58wYcKEnGXBwcFWNQIAFSpUoGbNxg5lBAAiIuaydGl0jhEAuHs3Hl/fsmRmZuR0MNPi4eF4RgBg4cK+fPRRD5s1gzHGww83BUCIwhmBixeVYnLa2okDBihF+nRaptsUY2ZVGniu77X+A0i5FdiaZ9n/Gdj2EXOOWRTatWtHbGxsTnOX6dOn56pj4+gU1I2l67pJTU0lOTnZoPE7fvw4PXv2pG3btuzbt88i0VSBgYGAYhCGDRvGypWma70bI+/n12Ye6y7Le0769OlDQkIC9evXL1bftbUJCKjIsmU3+eyzV9m581PS03P3o46OPk1i4g1iYy8TG3uFJk264ubmRUZGGrVqtbKIhi++GM+2bQuoU6ctb765BS8v4x1xmzfvTmZmOi4urhZ5/6KgbW9+86aSCVwQwxkXB//3f0r0UWamMhpo3x6e1N8i2SYYMwSNhRBJKHf/nprnaF5bqOeQbdmkqYqlraSanZ3NkiVL7CmpwJjbpyAvXl5eRhPGvL296datG3U19QEsEU21atUqWrduzYgRI0z2IjAX3c8/btw4Xn75ZRYuXJivmJ6hJkTW5IsvvuCXX87SpEk/qlSxUnNZCzFmTAh37sSwdGk0gwZ9ku/iunv3/9i6dX7Oay8vP9auHQ/A6tUpFqmx8+efSvHEM2f+ICUlwaQheO21b4r8npbCwwP8/ZXku7g40NPOOx9ZWYrB2L9fea4N6gsLezBRbC8MGgIppZUSxe1LZGQkrq6u3L9/n9WrV9OmTRuHnBi2Nc2bN88xlGCZjmxCCF566SWGDh1KdrblKpcnJSUxf/58Fi5UWmf7+voSGRnJ5MmTuXbtWr6ubLbKIfjmm2/YsmULFSs+5PCGIDPzPllZ97l/X/8ddrly1QkP70ClSnXw969IzZoP4uUtVeJhyJDF7NjxKR07DsbHR7/L0lG5cOEQSUkZQBtu3jRtCKKjYepUaNNGcQuBkix2/boSqWVvDE4WOyqFnSzOzs5m/fr1ei9u1vYdOwLR0dG88847BAcH895775m1jz3uqs0hNTUVb29vXFxciImJYfPmzYwePdpkaKk2tNZafPvtt2zbdoZGjfpSoUItq72PJdiwYSaHD2/i6acn0rZtP5PbSylJSbnDvXt3CQ62fY6NlFJjtNwsNrosCpcuHeWtt44Awxg2DDp1Mr79qlWgG6Ph7Q1LlsCVK1CjhuImMoW9JotLFL/99hv9+/cvFuUkrEFKSgorV67ku+++y1mmW4KhWrVqrF27Ntc+Re3Itm/fPjp27Mjrr79ukc+gRTsyWb58OT4+PsyYMcOs/AJrZ4v37t2b/v3fdngjAJCQcINLl45w8OBG5s/vydatHxvdXghBmTKBdjECoOgdNMiTUaNsVHPBBNWqNaRnzxcBOHpUifjRR3y80tLyjz9yL2/ZEtzdyanxpI/ExFvcvn2V9HQrlTnVwb4xWDYkKSnJ4DpHKydhDSpWrMiKFStyJkzzhpdGRUUxcOBADhw4wKJF+ksSFJS0tDT27t3L3r17admyZa48haISEhLC1KlTGT58uNmVWB0tW9yePPfcVNq2fZFz5/5i3bo3cXF5EHklpSQ9PQUPjzIkJ8dx+/YVvL0D2LfvS2JiztK790zKlStanml8/HVOnNhNcvJtfHyCCA9vT9myoQa3T09X5iVMzSPYCmdnFzp2dGHbNjhyBLZsgWeeyb3Njh3w2WcQHKwYg7AwCAhQ2nk+9pjp99i48V1+/nkRAwcu4Mknx5GaehewzmRCqTEEPXr0oFq1anov+qXhAuHj48NLL72U89pQ9dBvvvnGYoagRYsWtGnThv3795vVs9hcIiMjGT58OPcK0E7LEbPF7UlgYGUCAytTtmwo5crVyHURTkqKZeTI8lSqVIeuXV/js89eoUGDThw/rvg2OnceVSBDcPfuHcqUyZ00dvHiQZYufZAgOHr0OqOGoEKFWqxeneIQoaNaypWDUaPgo49g3Tql1EZgoNJruG5d+EYzt60tJPfYY0p0UFKSMtFsCk9PHwIDq+DjE0xGxj0mTXqGhx/+EV8rFHYqNYYAYM6cOcWinIQtMNaIJjIy0iJzAQEBAaxatYozZ85Qp06dIh9Py9SpUwtkBIKCgvjkk08cYn7D0QgKqpqTcawlPj4aV1d33N3L4O9fnpCQJrk6lJUvb17qa1ZWJuPG1SA+PprVq+/i5vYgqdDXtxytW/fl/Pm/CAtra7DMdV7snUimJSPjHitXjkBKSdeua9m+XenHkJamZAp7eSmNa8LClInklBRo3VqJGjK3G26fPrPp00e5Np08uYdevcZYxQhAKTEEupOegYGBeHp6Eh8f71AToLbgp59+IiUlhd69exutZmrJCJvw8HDCw8OLfBxdTLnynJ2dycrKIiQkhHfeeYc2bdoY7ZOgkpvq1ZuyenUqqamJlCkTQMuWzxEff51///2ZMmWC8PMzr8paZmYG9+/fw8nJmdjYK1Su/OB3EBbWmrCw1tb6CFbHycmZ339fi5OTMytXruXAgQftJYV40L2sf3+oXfjE4xzq1etIFfNsZaEo8ZPFeTtpxcXFkZaWxtq1aws1AVqc6dOnD3379iU1NdVoIxpLTqAvXLiQadOmmVU11VwMufJCQkKQUpKZmYmUksuXL1OzZk3q1KnDwIED9e5TFBytMU5hSEtLZs+eNezbl1u7k5NTLndOYGAlHnlkCC1amF8U4ODBjSQlxdKqVa9cRqAwHDy4kXfffZwdOz4t0nEshbOzCyNHrmb06HV4eEgGD1aWly8P8+YptZgiIixjBGxBiR8RGGs8U5qMAED37t3JyspCSpnz2fv37693W0tNoI8bNw6Arl270rZtW4scsyA5DgEBAdSqVYsqFr6dyjvZrs1VGDcOGjUqPr+r1NQEli0bTGBgZdq1M6778uVj3LhxjurVm5nlHpJSUqZMoN4cgeTkOFxdPXBz8+DevbsI4YSnp4/BY8XEnOPEid2EhjY1/aFsgBCCjh0f9L5o2RLef1+ZN/D0BJ22GIVm7txniI+P5rXXvrV6JFqJzyNwcnLSG1UihLBoklNxJTAwkDt38pcDtkTMfWRkZI6hCQgIYNGiRRYzvvbOcTBUAM/JyZlXXllj8qLqKKSlJfP556Px8ytHRMSHACxe3J+0tEQGDlxAUlIsH3/cC1dXD9LSkkhOvs3QoZ/SufPIIr3vBx88xbFj22jUqAv//vsLXbqMNthAByAu7hrXr58mMLAylSvXLdJ7FxfGjq1ObOxlFiy4QPnyNayaR1DiRwTFpfGMvVi0aJFVJtC1d8xa7ty5Y9G5h8KW2rAUhlt1ZvG//ymfszgYA09PH0aNWpNr2X//7SAp6RZDhypumDt3creGNBbdk5d791JYvLgft29f5b33juSUdwGBq6s7ZctWx9PTJ1cpbH0EBVUxe0LZVhw5soWUlHhatOhhdDRTWKZO3UVqaoJNPneJHxHoK8dcWrKJ8yKl5N69e7i6uuKik8VijbtrQ3fM1s7utRWmSmIHB4ewaNFl2wmyIFeu/MONG+dp2fI5srLuk5QUy+HDm/jvvx20bRvBww+bXyJTSslLLwWRknKHJUuuERhYOdc6QMc4FC/Gj6/NjRvnmT//DBUrWr+bjJpZXATylmMOCQkplUYAoEOHDnh5efHnn38CylzJgQMHaNu2bZEyiPXhKL2gs7OzCQ8Pz5lIthSzZ8/Gw8Nw7cW4uOKTpJiSkkBcXBRz5nRh2DB/ypQJ4qGHeuHk5ISrqztBQVXo0uVVJk78oUBGYOPG2Uyf3pb27Qcyb95J/P1zN3ARQphtBP74Yz3bty8kLi7K9MY2olmzZ2nbNgI3t6IX4NPyxx/rmDXrUe7eLVj3tqJS4l1DYH83gqPg6emJh4cHGRkZAJw8eZKHHnqIpk2bcuTIEYu+l6O45JycnLh8+TLp6emEhIRw7do1i4x6tPsOGjQoX29ogKCg4uN6nDSpUa4LbEBARb3bKRFZGUgpcXMzXYA4JuYM5879yeOPv1xkv/6OHUs4c+YPQkOb5st7sBcDBsw3vVEB+eyzUaSmJnLkyGauXDmGn195unWbZPH3yUuJHxGoPODnn38mLS2Nxx9/HFDuyFq0aEGDBg0s/l6GmujYI3lv1qxZeHp6EhUVhZQyJ8KnsOGe2rDRAQMG4O/vn68xjpubV04iUHEgIKASgYGVmT//DPPmncrlr09LS2bVqldYsWK4ptyBB2vXTjBytAc8//wMZsz4g8aNuwJKgtlPP33Erl0reOONBuzYsYyYmHPMmNGRJUsGIKVk9+6VrFo1Kt+xWrfuS5cuowkODrHMh3ZQmjfvTqVKdfDy8mPr1o/55RfblMkvFSMCFYW8w/DmzZtz8OBBq7yXI/WCXrJkicFuawXVk3fOKS4uDldXV4KCgoiPj6ds2Wr07j27WEwUa5k16y+D66TMZufOZYU6brly1XOVoliypD9//vk19eo9wrVrJ8jISCU7O5PTp/dSqVId4uOvsWbNWDIy0mjYsFOuZvVPPDG6UBqsSWZmBunpqbi5eVqsNLd24v7u3TtERHyIq6ttWr+U+MliFRVLhhCbmgTfvRtu3Sq0VIcjKyuT3bv/x2efjUIIwaxZB6hZU+98o0kWL+7P5ctHiYj4ED+/8vj7V8DbO4ALFw5w8eIhrl07iZTZtGz5HM2aPWMyksjefPTRcxw69APjx2/IZbSKQkLCDa5dO4GPT1lCQhrlWqdOFqtYhBUrVtC5c2e+/fZbe0uxKf4GirsUZL5C6w4yFClU3CvYzp37DPPmdScu7lqu5c7OLnTu/Arr10siI7OoUaO52cfcvn0Rmza9T1KSUnVt5MjPmDfvBE2bPkWNGs0JDKyMu7sX9eo9wr17KezZ8zmBgZVp0aJ7LiOQnZ3NlSv/cvu2Y51jT08fPD19LRqEcOjQJmbP7sTPPy+02DHNQTUEpYgLFy6wc+dOLly4AMCkSZOoVKkSq1evtq8wK1OhQoV8ywoyX6FbpsQQxTkv5euvp3L06BYOH/7RaJnngkT5AGzb9jFffTWFtLREgFylrvPSqlVPhg9fTvPm3QEl83jp0kHcvn2V1NQEJk9uzKRJjQzubw9GjfqCzz5L5KGHelnkeFlZmaxapSTqeXr6cvLkHm7evGCRY5tCnSMoRQwdOpROnToRFqbEPMfExBATE2NnVdZn5syZfPfddzlF90JCQgo0X2GoZLeW4l7BNjHxJgBNmz6tNzHqv/92kpaWRNmy1Vm/fhIVKtRm6FDTk5hduowmMfEmPj7BOcsuXTrCDz/MITy8PU8+qZQf2bp1AampifTo8VZO28xt2xbw++9fkJ5+l8GDF1OlSn2rJG05EmlpyYBiBKpVa8ysWY/Qvv0ARo36wurvrRqCUsShQ4dyTd5Onz6dOXPmWK20raPw/PPPU7duXb7+WmmWXtBJa2NuHyEEgwYNKtbhyd27T6Fz51EGM4aXLOmfYywA7t6NM+u4Tz+dP7po9+7/ceDABq5fP51jCL7/fgYpKQl07To2p9BdYGAVOnYcwnPPvU1AQEU+/PB4AT9V8cPLy4+lS6+Tnp5CdPQpwsPbU7mybXpfq66hUkLeKqxXrlxh9OjR7Nmzp8QbAlAa3Ldv3x6AZcsKFgVjzO0jpWTr1q1F0mZvypevSfXqzShTJlDv+jp1HsxQTp68nWHDlhf6vV544V06dx7F+PEbcpY98cQYfH3LcfLkrznLOnV6mZEjP+POnets2TKf2FjDbjl7sWfPambM6MCvv35mkeM5OTkREFCRChVq0bhxV6ZP30v37pMtcmyT722Td1GxO8aqsJZ0Ll68yMmTJ5kxYwbjxo0r8N377Nmz8fT0NLi+uE8Um2LMmPVMm/Yrkydvp3HjJ8yKGsrMvM+FCwe5fv1MruU+PkEMHbqESpUeNCp69NHhJCXd4vPPX813nC1bPuLLLydy7tyfRf8gFiY+PprTp3/n1i3L+fEzMzMYMsSHwYO9LToJbQrVNVRKMHSxunLlCikpKXh7e9tYke1YtWoVc+bM4d1332XBggUF3j8iIoJr164xebL+u7PiPFFsDi4urtSr90iB9klOvs3bb7fCz688y5bdMLqtUtJ5SK4OZlqaNXuW06f3smjRi0RFHadPn3cLpMOatGsXQZ067QpUhM8YV678w44dS7l37y5OTs7cu3fXZvMi6oiglGDsYlWvXr1i2VTFXMLDw6lUqRLJycn5EsvMZdKkSXz55ZcOky1ta7KyMrl/P52ff17M1q2mjamU2dSo0YJq1cyJ9BF07TqWvn3n5Fvz6KND6dnz/wBITU0sqGyrUrZsKPXqdaRsWctkO8fEnGXXrhU0bNiZDh0G8eqrVdi//yuLHNsU6oiglKCvmYuWq1evWrREtKMxYMAA1q5dywcffEBISAitWrWicePGuSqwmoMjZUvbEm2VzS5dXuWXX5bg5OTMU0+9ZnSfwMDKzJ5tXtb6ypUjOHZsG2+88RPNmj2db/2jjw6nWbNncHU17J4rCVSv3oyhQz8lOLgav/32GWlpSTZLqlMNQSlB9yKmLx6+pHdtq1atGmFhYYwapdSxuXbtGpUrVzax1wOys7NxcnIqlQUMb9w4D8DOncvo0uVVXF09cs6HJShfvhbVqjUyWKYhIyONO3euU7u2Y/U4zsy8z86dy7hzJ5oXX3y/yMcrX74mnTsrnd8aNepCWlqyXneZNbCqa0gI0VUIcUYIcV4Ikc/BKoSYIIQ4KYT4VwixSwhRsitK2ZmIiAiOHTtmMCmopE56RkZGsnPnTs6dO4eHhwfVqlXLqcBqar/Q0FCEEDg7OyOEoFq1aiXajaaP9947ylNPjWfo0KUMGbKY/v3nWcwIAAwevJAPPviHhg076V0/dWoLZszoYLPkKnNxdnZh/fpJ/PjjB6SkJFjsuL/8spR587pz8eJBs6q8WgKrjQiEEM7AEqAzcA04KIT4UUp5Umezo0ALKWWqEOIVYC7Qx1qaVGDy5MkGoxFK4qRnZGQkw4YNIz09HYB79+5x+/Zt9u/fT/Xq1Y3up8+VFhUVVaLdaPoIDW1CaGiTAu1z6NAmVq0aSatWvRgyZHGR3t/bO4Dbt69w+/aVXNFG9kYIwbPPTsLd3csizXUuXz7GnTvX+eef7Rw7tpXGjbvSqFEXCyg1jTVHBK2A81LKi1LKDOAroLvuBlLKX6WU2v+0vwDH6kVXAmnQoAFVq+av515SJz2nTp2aYwS0mBM2ayybuLSE3eojPv4616+f4f79dKPbpaTcISHhBvfu3S3ye44c+Tk9ekwlPLx9kY9laZ5/fjrPPvtGTmmO6OjThW4qs2PHUubOfZqAgEr4+1fkwIENJCebl7xXVKxpCCoDuu2ErmmWGWIYsM2KelSA0aNHc/XqVQYNGoSnp2eJ79pW2E5pRV1fktiwYSbjx9fm99+/ZPbsx5k4Mdykm6Z1674sWRJNv35zi/z+oaFN6NPnXZv5y4vC3LlP8dJLgURHny7wvlWq1Kdx4660atWLzMwMTp3ag5QFq45bWBxislgI0R9oAXQ0sH4EMAJKpvvCllijP7EjY6hTmqGKpKb2011fWjh06Adu3DjP4cM/Uq5cdbKzs0wmO7m5eRAYWMlGCu3HvXt3uXbtJEIIqldvhrd3IO7uNzl6dAvr1r3BG29sNvtYTz45LqfsxssvryIlJQEvL+O/U0thTUMQDej6IKpoluVCCNEJmAp0lFLqHW9KKVcAK0DpR2B5qaWDvH5vbacuKLn+bkNhsx076r3nyLXf8OHDuXfvXr51JdWNZog33tjM3r1f0KnTyJxaQCoKJ0/u4cMPn6Fhw8689dYvzJlziLS0ZMaODeXu3XguXz6Wa34lKuo4Bw9upHv3KTg767/8JiTcJDHxFl5evjlF+KyNNV1DB4HaQojqQgg3oC/wo+4GQoimwHKgm5SyBLXzcExKY5mJiIgIVqxYQUhICEIIqlSpwoIFC0xG/mj3q1RJuat1dlbiuUuyG80QgYGV6dFjSoGMwO+/f8nKlS9z8uQeKyqzPxUr1iY0tCmVKoXnLPP09KFfv7lMnLiJKlXq59r+zTcb8u23/8euXSvyHev+/XSklNy+fYWVK0ewefOHVtevxWqGQEqZCYwGfgZOAd9IKU8IIWYKIbppNvsQKAN8K4Q4JoT40cDhVCxAYf3lxZ2IiAguX75MdnY2UVFRjBs3jo0bNxIaGoqTkxOhoaF6DcOAAQOIjo7WNG3PRErJ5cuXS5URKCynTu1h164VxMScMb1xMaZixTDee+8IgwcvzOUue/TRYbRo0S3fHf3QoUupXr05Vavm7xM+cWI4/fu7kp2dSceOQ3jooeetrl+L2qqyFGGqzWJpQV9oqBACKWWBexXkpaS1qsxLZOSbHDr0AxER82jRopvB7U6f/p2oqBPUrduBKlVsU0rZ3ixbNoQzZ/YxePBiGjd+Imd5dnaWWRnCo0ZV5s6d6yxfHouvb3C+9WqrShWLMHv27FJbK0fLokWLGDBgQD4XmfaG6MqVKwwYMAAhBAEBATzzzDNcunTJHlIdkuTkWG7cOEdy8m2j24WHt6dz55GlxgikpiayZ89qbtw4j7u7UsAxPT2Vr756i7ffbkVWVma+fVJSEjh2bBvHjm0HYOnSaNauTcfHJ8im2sFBooZUbENprZWjJTIykjfffNNkxIt2fUJCAlu2bKFNmza89dZbtpDo8PTuPZNu3Sbj71/R3lIchri4KF5/vR7u7l5Mm/ZbzryAEE78+efX3Lp1kRMndnPgwPc4OTnTqlUvXF3d+f33L9i1awVVqtSnSZOugPF2ntZEdQ2plBqMNZ83RtWqVc2eRynpriFziIo6ztGjW6hSpQH16nXEw6OMvSVZnbfffgh3dy9efvkzypV7kLF+8uRvuLp6UL16M4YN8ycjQ6l+6+npS1paEgAdOgzilVdWm3wPa7qG1BGBSqmhsJPi165ds7CS4o2Ukm3bPqFFi+65LnpafvhhDvv3r6d27dY5d7olnbff3o2HR/6eHto+DllZmUyevJ0rV/5h9+4VeHn5UaVKfRITbzFy5OfExUWxbNlQKlYMM6sftKVRDYFKqcFUkpghnJyciIyMLDUuNGOcOrWXb76ZxunTe/nhh9l8+mkMp07tZfXqMYwd+xXVqjVk+PDllC0bSs+e02xWRtne6DMCujg7u1C3bgfq1u1A165j8q1PSorl+PGdJuderIU6WaxSatA3WW4OWVlZjBgxotRVHdXHpUuHOX16LwCPPz4CZ2cXbt48T3T0SX788QNAiaPv23dOsSgJYW+klCQnx+HtHcDkydsZOPBju+hQRwQqpQZTPRmMUdL7NZhLnTrt6ddvLjVqtKB+/UcBCA/vQLduk+jQYTCZmfdtlg1bnImNvYKTkzO//rqSDRtm0KvXdJ5//h276VFHBCqlCm1ymb62k6ZKCZf0xDtzqFmzBc8++0aOEQCoXDmcF198n/371zNyZHn27FltP4HFgF27/sfYsaGMHl2VU6f24uFRhsxM0/0xrIlqCFRKJXlLT4SEhLB27dqcpDJ9lKZCc4Xh6tV/SUm5g59fBXtLcWjc3R/cgPTuPZN5805x/vzf/P33d3bTpLqGVEothtpO6itUV9oS7wrDxIkbiY4+rTeSSOUBLVp0Z/ny2JzEsY0bZ3PixG58fIJtWlZCF9UQqKjkobQn3hWFypXDTW9UyvHwKJMrt6Jr17H4+AQXuAucJVETylRULIiaUKZiLdRaQyoqKioqVkM1BCoqKipm4FyCc+NUQ6CioqJiAD8/0EYVh4baVYpVUSeLVVRUVHTw9oaUFHBxgdq1ITkZUlPBx8feyqyHOiJQUVFR0eDqCvXrQ0AAVKqkGIOAAKhcGZxK8NVSHRGoqKiUepydISsLypdXLvi1aj1wCWkpyYagBFZv7GAAAA8GSURBVH80FRUVFdO4ukLjxhAYqBgCUAxD3gt/SZ4sVkcEKiqlCCGUu930dIiOVu6CSzvBweDmBmFhxrcTQnkUs9Qrsyh2CWVCiFig4EXlTRMM2KcYuHFUXQXDUXWB42pTdRUMR9UFxrWFSCnL6ltR7AyBtRBCHDKUdWdPVF0Fw1F1geNqU3UVDEfVBYXXps4RqKioqJRyVEOgoqKiUspRDcEDVthbgAFUXQXDUXWB42pTdRUMR9UFhdSmzhGoqKiolHLUEYGKiopKKafUGAIhRHl7a9CHEMIhK5gIIfzsrcEQQogAe2vQhxAiyN4a9KH+xgpOaTtnJd4QCCHKCCEWANuEEMuFED3trQlACOEthFgCbBBC9BNCOER/P835mg98L4R4TQhhv7ZJeRBCeGnO2XYhxBghRFPNcrv+jjXn7GNgixDiXSHEoyZ3sgHqb6zglNZzVqINgRCiMrAWEMBTwB5grl1FPWAm4Au8CzQF3revHND8uH4BMoDpKMkpo+wqKjcTgCBgEOABLAeQUmbbS5AQojawEcgChgKxwFv20pMH9TdWcErlOSvRhgC4B6yUUo6TUt4AvgGOCSEa2UOMEMJF87cM4APMkVLuBWYDTkKIt+2hS4dE4FMp5WQp5T7gdyBLc5ckTOxrFYQQHpq/LoAbsE5KeVpK+SEQq7kTt+eoIAVYIaV8XUp5EtgKxAghqthDjPobKzjqOSthhkAIUUcIsUwI4QkgpYwDftPZpCpQAzhjY13hQojPgZlCiBAp5V0gAOin0ZkAfAA8L4SoYENdtYUQb2pfSykvodzdakkFwqSUKdLG4WVCiDAhRCSwSAjRQkqZCZQBWutsNhIYIISoYqtRgeY3ljOqlFJeB7bpbOIFhEspr9lCj44u9TdWcG3qOdNQYgyBEKIdihtoBIoLASGEkFKm6GzmBlyWUqbbUFcQ8DlwHHAG5gghOgFTgBeEENraH/+iGK2nbaSrH7AbeEMIMUKzzFnzz6ClBnDCFnryaPNEcfv8g3JeXhVCDEP5pxwphAgGkFJGAV8CL9lI19PA98DrQojJmmUuec5ZILa/0VB/YwXXpp4zHUqMIQDiUHy0YcAQjYXPay2bAhcAhBAv2chFFA6kSik/QvmRbQP6oPz4vgc+BpBSZqD4mWNtoAngGoqvvRvKxdVLSpklFLS/ixrAEQAhRHchRIiNtNUEUqSUc6WUi4CVwHOAJ/ApuZNmzmo+CzZwLdwEIlB+Y5OEEGWklJlCCCed966H5p9UM9looqalRVB/YwVHPWc6lBhDIKU8BZyXUp4HdqBM+uT1HT8OBAkhNqAM/+7ZQNoRwF0I0VzjvvgDiEK5sL0DPCyEGCmEeALoANjExaHxgf4upfwT+E+jBcBJx83SEKgqhPgR6A9k2kjbcSBUCNFBs+hfYBfwJjAVCBRCTBdCvAAMB9I0+1nVtSClPASc1vzGtgPLNKuEznu3A8oKITaiGI371tSkQf2NFRz1nOV542L1QIka8TWwTpsp7QOcBx7Ps34byt3a81bQFQC46tHiixJF8q7Ouu7AAs3ztsB44C8gwla68mzTQPOja6izrCxKOdv9QB8rfZduepY5af6OAb7UWd4EWIUSMREGDESJpLDGOcuny8D3mgC01FnnjmK0DgMvWEGXs4Hl9v6N6dXlIL8x3zyvHeX/Uu81zF7nzOIn3poPzRd3AfgMeNPANs6av68BP2mev4gSQvqIlXRNB66iuCzG6lnfSXMRe0bzOgw4BHhY+XwZ1ZVn25nAKs3zVpq/g62o7QMUN091zWuRZ30tYAMwSPM6CPgZqGDlc2ZUV57f2DTgV83zrpq/Payka67m9x9gYL29fmNGddn5NzZNcw7eR2OY0TFadjxn+nQ52fOcWe3DWuHkddFcCFxR7gp3oQy93fJsJ3Se30EJvVplrS8X5c5hJ8odRhPgHNA2zza+KHewR1Ail55HiQIItuL5Mqkrz/auKHcad4FZhn6YFtDlAkxEmVBdCQw18Z1fAJoBLwC/AtUcQJfubywTSAY+QWfkZUFdXpqLwRXga+AxA9vZ9Ddmri47/cYqAF8BX6C4UfoBfwJBmvXaUaetz5lRXXY9Z9Y4qAVPnL/O8+eBRdoLOjAPOIDGSubZzw/4EGWYbvDiVwRdwTrPHwK+09H1GrAGqKxnv2kokU3/Aa0dQRfKSKks8CNwEGhnpe9SV1soijEfCHwEtNBq0bPfK8BCFHeLtb/LgugKBv4HHLWSLl/NXxegEeCNMsKbAVQ1sp+1f2MF1mXD35hWmy/QT2d5OZQIocZ2Pmdm67LVOct5P2sevAgnLghYjOIDHgtUQ5mwWY4yo+4GLAC2AMO0J05nfyegkRV0BWp07UWJNKin+WdYDtTSee+ftF84ShSCrjYvB9HlpLO/GxrXhg20NdZZVwXFFTMB8NT9HvOcM5M+aFvp0tnGBesYgAAUA7MNZRRUSWdduOaC1ZM8ow8b/MYKpctGvzFdbX2Asprl2jv/YJS7/uA8+9nynJmtyxbnLO/D4aKGhBAPo5y42yhp3lVR/Nt7Uf5pO2v+XkVx+QyA3BEjUspsKeW/FtbVBtgEJAGjgfIoo5QTKIarjSbUKxtYj2LAkFJm5dGW6iC6sjX7CyllhpRyuyV1GdBWDuitXS+VpKsDKHfi7TXLpO5fzXOLtlgvii6dbTKllH9YUpeG91EiVOYCD6NTEkVKeRplZPQIUDuPHqv9xoqiC6z7G9Oj7SEehH5qo2yCgWgpZa5evjY+Z2brApucs1w4nCFAicSYL6V8R3Px3wd4apIqIoGXge5SyvkotYMuCiHcbRBDfg1l9PGWxsi4oIQSZqHceT8LaHuFfgdcFraprlgkXXkvcFbW5oom/lmHXShGvYEQYqwQoo8V9Ti0LqFUvHQFZkspf0W5EfITQozT2SwS5TuuL4QYoglvdGhd1vyNmaktFIjRbP+sEKKttfRYSpeV/y/zYe+qjfku3pq7i8066+6jRHBo7wrTpJQ3hVJ5ci2KRU235IkzoOuqlPKsECJACLECJeHjKSHEIpTMwx3AaKHUJdkKJEkpEy2lyZF1FVDbs0KIJUIIX802CSiTrZNRRit3SoMufUgpk4EQoJfmdTzKXNggHV2xQDRKJNhklEJkpVKXudqAjoCHEGIV8AY2yO1wVF0GsYX/Sd8DIz7OPMtHAe/nWVYfOAm8ZmtdKFa+o+a5F0oo60zN60YoX/bo0qKrkNr+B3yoeV0NJfJkYmnRZUCrNiS1HYpbz1vz2gMlnPVFzesmGl3jS7MuM7VFaF7/iBJ9NrI06zKq2S5vqvhl96CEnz2rs9wp73PNBew5zfOeaOLIAXd76NKzzyso1jzfJGdJ11VEba/rvHak79Laut4E+uf9TlBG59rvai1KtUntusVAZ83zMlghFNpRdRVRWxfN8+e0F+PSoKtQn8Wmb6ZEanwBbAbaoAy5v0OTvKOzXSOd51uBSSgTyOuAco6gS/P6YZTMw+cc5XzZQpcja3NgXT4oNzWxKHfOfjrrdC8iVVHCDC8Dg1GKnR0mT5Z8SddlIW2dS5OuIn0mm76ZEko5ggfWsgawGqiveV1B80/8O1AJZXiehOLrtkrGZiF0VdDo+kZz4ehe2nQ5sjZH0wW46Oh6WvN8LTBP81yrswpKVNcmzevHgddREo56lRZdjqzNUXVZ5LNZ9eBKFMHr6CSaAGV0njtp/gFra153BkblOcYQB9X1dGnR5cjaHFzXPJSMY60rQOs7DgEuoTFOmmXPY6BsSmnQ5cjaHFWXRT+jFU9eQ5SQvJvAegPb1AW2GlhnsPCXqst2uhxZmwPrEsBSlF4JESiRW6+iM+eAEmO+0cD+Fk+gc2RdjqzNUXVZ+mHN8NHbKKUBwlFKCncBpcmCTkhfRTR1voUQDwlN029tMoWqyyF0ObI2R9XlgxJF84pUcl/moRQ0662zzf8BNYUQrYUQ9YUQj+nosmgCXTHQ5cjaHFWXRbGaIZBSxgBfSynvoPho39Isz0KxsgCNATchxIdosu4020hVl2PocmRtDqwriQcThKDUuj+KkuVdQbNNBspcxR8oVVZFadXlyNocVZelsWpCmZQyTfP0C+CeECKnvIHmjq0D8BgQL6VsI5UMPKuj6io52hxVF0oVyyZCiIpSaTP4L0ojpIoAQohHUFpsvielDJdS7irluhxZm6Pqshy28kEBTwB/a5430vzthpFKiqoux9PlyNocSRfKReIDYIrOsn1oCtWhtOO0eCh0cdXlyNocVZclHzYrMSGl/Bm4I4RIB94XQgRLKX+USgNyu6HqKjnaHEmXVNxWm4AnhRC9hRChKHeRWZr1F6SUt1Rdjq/NUXVZFBtZVCeUoktXgJfsbf1UXSVPmwPrehKl3MdprFTioyTpcmRtjqrLEg9tAoTVEUI8CeyWUqbb5A3NRNVVcBxVmwPrckWZO7RVY3azcFRd4LjaHFVXUbGZIVBRUVFRcUwcsR+BioqKiooNUQ2BioqKSilHNQQqKioqpRzVEKioqKiUclRDoKKiolLKUQ2BiooJhBBZQohjQogTQoh/hBAThRBG/3eEEKFCiH620qiiUhRUQ6CiYpo0KWUTKWV9lH4GTwLTTewTCqiGQKVYoOYRqKiYQAhxV0pZRud1DeAgEIzSmGQt4K1ZPVpKuV8I8RdKL4RLwBqUctnvA48A7sASKeVym30IFRUjqIZARcUEeQ2BZlkCUAdIBrKllPeEELVRGuS00FSkfF1K+Yxm+xEohcneFUK4o5Qs7i2lvGTTD6OiogcXewtQUSnmuAKLhRBNUIqQhRnYrgvQSAjxvOa1H1AbZcSgomJXVEOgolJANK6hLOAWylzBTZQGOE4oVSn17gaMkUqFVBUVh0KdLFZRKQBCiLLAMmCxVPyqfkCMlDIbGAA4azZNRmlzqOVn4BVN0TKEEGFCCG9UVBwAdUSgomIaTyHEMRQ3UCbK5PB8zbqlwAYhxEBgO5CiWf4vkCWE+AeljeYnKJFERzSd02KBHrb6ACoqxlAni1VUVFRKOaprSEVFRaWUoxoCFRUVlVKOaghUVFRUSjmqIVBRUVEp5aiGQEVFRaWUoxoCFRUVlVKOaghUVFRUSjmqIVBRUVEp5fw/888Ry/DOrkAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=9599, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.044, 'agg_val_loss_p_weighted': 0.11}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=10399, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.045, 'agg_val_loss_p_weighted': 0.11}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=11199, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.045, 'agg_val_loss_p_weighted': 0.11}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=11999, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.044, 'agg_val_loss_p_weighted': 0.11}} tain={}\n",
      "Epoch    14: reducing learning rate of group 0 to 1.6585e-07.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=12799, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.045, 'agg_val_loss_p_weighted': 0.11}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=13599, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.045, 'agg_val_loss_p_weighted': 0.11}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=14399, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.045, 'agg_val_loss_p_weighted': 0.11}} tain={}\n",
      "Epoch    17: reducing learning rate of group 0 to 1.0000e-07.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=15199, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.045, 'agg_val_loss_p_weighted': 0.11}} tain={}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=40.0, style=Pro…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=15999, val={'agg_val_loss': 0.6, 'log': {'agg_val_loss': 0.6, 'agg_val_loss_p': 0.6, 'agg_val_loss_mse': 0.044, 'agg_val_loss_p_weighted': 0.11}} tain={}\n",
      "\n",
      "INFO:predict_heading2:Loading checkpoint lightning_logs/TransformerSeq2Seq_PL/version_0/_ckpt_epoch_19.ckpt\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "32545f92092b4584a1afc525c42f7611",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Testing', layout=Layout(flex='2'), max=80.0, style=Progre…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:step 16000, {'agg_test_loss': 0.6009575724601746, 'log': {'agg_test_loss': 0.6009575724601746, 'agg_test_loss_p': 0.6009575724601746, 'agg_test_loss_mse': 0.04470730945467949, 'agg_test_loss_p_weighted': 0.11388392746448517, 'agg_test_score': 0.6009575724601746}}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "TEST RESULTS\n",
      "{}\n",
      "----------------------------------------------------------------------------------------------------\n",
      "\n",
      "INFO:predict_heading2:logger.metrics [{'agg_test_loss': 0.6009575724601746, 'agg_test_loss_p': 0.6009575724601746, 'agg_test_loss_mse': 0.04470730945467949, 'agg_test_loss_p_weighted': 0.11388392746448517, 'agg_test_score': 0.6009575724601746}]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[I 2020-07-05 11:30:11,682] Finished trial#0 resulted in value: 0.6009575724601746. Current best value is 0.6009575724601746 with parameters: {'agg': 'mean', 'attention_dropout': 0.6780359048806396, 'hidden_out_size_power': 7.0, 'hidden_size_power': 8.0, 'learning_rate': 1.6584803023517798e-05, 'nhead_power': 3.0, 'nlayers': 3, 'use_lstm': True}.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:root:GPU available: True, used: True\n",
      "INFO:root:VISIBLE GPUS: 0\n",
      "INFO:root:\n",
      "  | Name   | Type                  | Params\n",
      "---------------------------------------------\n",
      "0 | _model | TransformerSeq2SeqNet | 73 M  \n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Validation sanity check', layout=Layout(flex='2'), max=5.…"
      ]
     },
     "metadata": {},
     "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:predict_heading2:val step=0, val={'agg_val_loss': 1.2, 'log': {'agg_val_loss': 1.2, 'agg_val_loss_p': 1.2, 'agg_val_loss_mse': 0.25, 'agg_val_loss_p_weighted': 0.22}} tain={}\n",
      "\r"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6ebed8e8d50140668217d661690480e0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(flex='2'), max=1.0), HTML(value='')), …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[W 2020-07-05 11:30:27,959] Setting status of trial#1 as TrialState.FAIL because of the following error: RuntimeError('CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 10.76 GiB total capacity; 8.25 GiB already allocated; 15.38 MiB free; 156.57 MiB cached)')\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/optuna/study.py\", line 569, in _run_trial\n",
      "    result = func(trial)\n",
      "  File \"/media/wassname/Storage5/projects2/3ST/attentive-neural-processes/neural_processes/train.py\", line 68, in objective\n",
      "    model, trainer = main(trial, PL_MODEL_CLS=PL_MODEL_CLS, name=name)\n",
      "  File \"/media/wassname/Storage5/projects2/3ST/attentive-neural-processes/neural_processes/train.py\", line 56, in main\n",
      "    trainer.fit(model)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py\", line 602, in fit\n",
      "    self.single_gpu_train(model)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/distrib_parts.py\", line 470, in single_gpu_train\n",
      "    self.run_pretrain_routine(model)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py\", line 830, in run_pretrain_routine\n",
      "    self.train()\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/training_loop.py\", line 343, in train\n",
      "    self.run_training_epoch()\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/training_loop.py\", line 413, in run_training_epoch\n",
      "    output = self.run_training_batch(batch, batch_idx)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/training_loop.py\", line 562, in run_training_batch\n",
      "    loss = optimizer_closure()\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/training_loop.py\", line 529, in optimizer_closure\n",
      "    split_batch, batch_idx, opt_idx, self.hiddens)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/training_loop.py\", line 672, in training_forward\n",
      "    output = self.model.training_step(*args)\n",
      "  File \"/media/wassname/Storage5/projects2/3ST/attentive-neural-processes/neural_processes/lightning.py\", line 37, in training_step\n",
      "    y_dist, losses, extra = self.forward(context_x, context_y, target_x, target_y)\n",
      "  File \"/media/wassname/Storage5/projects2/3ST/attentive-neural-processes/neural_processes/lightning.py\", line 31, in forward\n",
      "    return self._model(*args, **kwargs)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/module.py\", line 541, in __call__\n",
      "    result = self.forward(*input, **kwargs)\n",
      "  File \"/media/wassname/Storage5/projects2/3ST/attentive-neural-processes/neural_processes/models/transformer_seq2seq.py\", line 162, in forward\n",
      "    outputs = self.decoder(target_x, memory, tgt_key_padding_mask=tgt_key_padding_mask)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/module.py\", line 541, in __call__\n",
      "    result = self.forward(*input, **kwargs)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/transformer.py\", line 228, in forward\n",
      "    memory_key_padding_mask=memory_key_padding_mask)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/module.py\", line 541, in __call__\n",
      "    result = self.forward(*input, **kwargs)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/transformer.py\", line 355, in forward\n",
      "    key_padding_mask=memory_key_padding_mask)[0]\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/module.py\", line 541, in __call__\n",
      "    result = self.forward(*input, **kwargs)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/activation.py\", line 783, in forward\n",
      "    attn_mask=attn_mask)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/functional.py\", line 3238, in multi_head_attention_forward\n",
      "    k, v = linear(key, _w, _b).chunk(2, dim=-1)\n",
      "  File \"/home/wassname/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/functional.py\", line 1372, in linear\n",
      "    output = input.matmul(weight.t())\n",
      "RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 10.76 GiB total capacity; 8.25 GiB already allocated; 15.38 MiB free; 156.57 MiB cached)\n"
     ]
    },
    {
     "ename": "RuntimeError",
     "evalue": "CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 10.76 GiB total capacity; 8.25 GiB already allocated; 15.38 MiB free; 156.57 MiB cached)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-18-b453ca10967c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     29\u001b[0m     study.optimize(func=func,\n\u001b[1;32m     30\u001b[0m                    \u001b[0mn_trials\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m200\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m                    timeout=pd.Timedelta('0.5d').total_seconds())\n\u001b[0m\u001b[1;32m     32\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     33\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Number of finished trials: {}'\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstudy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrials\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/optuna/study.py\u001b[0m in \u001b[0;36moptimize\u001b[0;34m(self, func, n_trials, timeout, n_jobs, catch, callbacks, gc_after_trial)\u001b[0m\n\u001b[1;32m    300\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mn_jobs\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    301\u001b[0m                 self._optimize_sequential(func, n_trials, timeout, catch, callbacks,\n\u001b[0;32m--> 302\u001b[0;31m                                           gc_after_trial, None)\n\u001b[0m\u001b[1;32m    303\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    304\u001b[0m                 \u001b[0mtime_start\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/optuna/study.py\u001b[0m in \u001b[0;36m_optimize_sequential\u001b[0;34m(self, func, n_trials, timeout, catch, callbacks, gc_after_trial, time_start)\u001b[0m\n\u001b[1;32m    536\u001b[0m                     \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    537\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 538\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_trial_and_callbacks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallbacks\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgc_after_trial\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    539\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_storage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mremove_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    540\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/optuna/study.py\u001b[0m in \u001b[0;36m_run_trial_and_callbacks\u001b[0;34m(self, func, catch, callbacks, gc_after_trial)\u001b[0m\n\u001b[1;32m    548\u001b[0m         \u001b[0;31m# type: (...) -> None\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    549\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 550\u001b[0;31m         \u001b[0mtrial\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_trial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgc_after_trial\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    551\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcallbacks\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    552\u001b[0m             \u001b[0mfrozen_trial\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_storage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_trial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_trial_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/optuna/study.py\u001b[0m in \u001b[0;36m_run_trial\u001b[0;34m(self, func, catch, gc_after_trial)\u001b[0m\n\u001b[1;32m    567\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    568\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 569\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrial\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    570\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTrialPruned\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    571\u001b[0m             message = 'Setting status of trial#{} as {}. {}'.format(trial_number,\n",
      "\u001b[0;32m/media/wassname/Storage5/projects2/3ST/attentive-neural-processes/neural_processes/train.py\u001b[0m in \u001b[0;36mobjective\u001b[0;34m(trial, PL_MODEL_CLS, name, user_attrs)\u001b[0m\n\u001b[1;32m     66\u001b[0m     \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdebug\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnumber\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnumber\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muser_attrs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muser_attrs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 68\u001b[0;31m     \u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrial\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPL_MODEL_CLS\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mPL_MODEL_CLS\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m     \u001b[0;31m# Load checkpoint\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/media/wassname/Storage5/projects2/3ST/attentive-neural-processes/neural_processes/train.py\u001b[0m in \u001b[0;36mmain\u001b[0;34m(trial, PL_MODEL_CLS, name, MODEL_DIR, train, prune, PERCENT_TEST_EXAMPLES)\u001b[0m\n\u001b[1;32m     54\u001b[0m     \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPL_MODEL_CLS\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     55\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mtrain\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 56\u001b[0;31m         \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     57\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     58\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, train_dataloader, val_dataloaders, test_dataloaders)\u001b[0m\n\u001b[1;32m    600\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    601\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msingle_gpu\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 602\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msingle_gpu_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    603\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    604\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muse_tpu\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# pragma: no cover\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/distrib_parts.py\u001b[0m in \u001b[0;36msingle_gpu_train\u001b[0;34m(self, model)\u001b[0m\n\u001b[1;32m    468\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizers\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moptimizers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    469\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 470\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_pretrain_routine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    471\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    472\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtpu_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtpu_core_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mrun_pretrain_routine\u001b[0;34m(self, model)\u001b[0m\n\u001b[1;32m    828\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    829\u001b[0m         \u001b[0;31m# CORE TRAINING LOOP\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 830\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    831\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    832\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mLightningModule\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/training_loop.py\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    341\u001b[0m                 \u001b[0;31m# RUN TNG EPOCH\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    342\u001b[0m                 \u001b[0;31m# -----------------\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 343\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_training_epoch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    344\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    345\u001b[0m                 \u001b[0;31m# update LR schedulers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/training_loop.py\u001b[0m in \u001b[0;36mrun_training_epoch\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    411\u001b[0m             \u001b[0;31m# RUN TRAIN STEP\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    412\u001b[0m             \u001b[0;31m# ---------------\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 413\u001b[0;31m             \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_training_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    414\u001b[0m             \u001b[0mbatch_result\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrad_norm_dic\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_step_metrics\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    415\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/training_loop.py\u001b[0m in \u001b[0;36mrun_training_batch\u001b[0;34m(self, batch, batch_idx)\u001b[0m\n\u001b[1;32m    560\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    561\u001b[0m                 \u001b[0;31m# calculate loss\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 562\u001b[0;31m                 \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moptimizer_closure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    563\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    564\u001b[0m                 \u001b[0;31m# nan grads\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/training_loop.py\u001b[0m in \u001b[0;36moptimizer_closure\u001b[0;34m()\u001b[0m\n\u001b[1;32m    527\u001b[0m                     \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'model_forward'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    528\u001b[0m                         output = self.training_forward(\n\u001b[0;32m--> 529\u001b[0;31m                             split_batch, batch_idx, opt_idx, self.hiddens)\n\u001b[0m\u001b[1;32m    530\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    531\u001b[0m                     \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/pytorch_lightning/trainer/training_loop.py\u001b[0m in \u001b[0;36mtraining_forward\u001b[0;34m(self, batch, batch_idx, opt_idx, hiddens)\u001b[0m\n\u001b[1;32m    670\u001b[0m             \u001b[0mbatch\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransfer_batch_to_gpu\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgpu_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    671\u001b[0m             \u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 672\u001b[0;31m             \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    673\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    674\u001b[0m         \u001b[0;31m# TPU support\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/media/wassname/Storage5/projects2/3ST/attentive-neural-processes/neural_processes/lightning.py\u001b[0m in \u001b[0;36mtraining_step\u001b[0;34m(self, batch, batch_idx)\u001b[0m\n\u001b[1;32m     35\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misfinite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0md\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0md\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     36\u001b[0m         \u001b[0mcontext_x\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontext_y\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_x\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_y\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 37\u001b[0;31m         \u001b[0my_dist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlosses\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mextra\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcontext_x\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontext_y\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_x\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_y\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     38\u001b[0m         \u001b[0mtensorboard_logs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m\"train_\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mlosses\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     39\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misfinite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtensorboard_logs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"train_loss\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/media/wassname/Storage5/projects2/3ST/attentive-neural-processes/neural_processes/lightning.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     29\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     30\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_model\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     32\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     33\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtraining_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    539\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    540\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 541\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    542\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhook\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    543\u001b[0m             \u001b[0mhook_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/media/wassname/Storage5/projects2/3ST/attentive-neural-processes/neural_processes/models/transformer_seq2seq.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, context_x, context_y, target_x, target_y, mask_context, mask_target)\u001b[0m\n\u001b[1;32m    160\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"hparams.agg should be in ['last', 'max', 'mean', 'all'] not '{self.hparams.agg}''\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    161\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 162\u001b[0;31m         \u001b[0moutputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecoder\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtarget_x\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtgt_key_padding_mask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtgt_key_padding_mask\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    163\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    164\u001b[0m         \u001b[0;31m# [T, B, emb_dim] -> [B, T, emb_dim]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    539\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    540\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 541\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    542\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhook\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    543\u001b[0m             \u001b[0mhook_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/transformer.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, tgt, memory, tgt_mask, memory_mask, tgt_key_padding_mask, memory_key_padding_mask)\u001b[0m\n\u001b[1;32m    226\u001b[0m                                     \u001b[0mmemory_mask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmemory_mask\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    227\u001b[0m                                     \u001b[0mtgt_key_padding_mask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtgt_key_padding_mask\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 228\u001b[0;31m                                     memory_key_padding_mask=memory_key_padding_mask)\n\u001b[0m\u001b[1;32m    229\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    230\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnorm\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    539\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    540\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 541\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    542\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhook\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    543\u001b[0m             \u001b[0mhook_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/transformer.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, tgt, memory, tgt_mask, memory_mask, tgt_key_padding_mask, memory_key_padding_mask)\u001b[0m\n\u001b[1;32m    353\u001b[0m         \u001b[0mtgt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnorm1\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtgt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    354\u001b[0m         tgt2 = self.multihead_attn(tgt, memory, memory, attn_mask=memory_mask,\n\u001b[0;32m--> 355\u001b[0;31m                                    key_padding_mask=memory_key_padding_mask)[0]\n\u001b[0m\u001b[1;32m    356\u001b[0m         \u001b[0mtgt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtgt\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdropout2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtgt2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    357\u001b[0m         \u001b[0mtgt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnorm2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtgt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    539\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    540\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 541\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    542\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhook\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    543\u001b[0m             \u001b[0mhook_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/modules/activation.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, query, key, value, key_padding_mask, need_weights, attn_mask)\u001b[0m\n\u001b[1;32m    781\u001b[0m                 \u001b[0mtraining\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    782\u001b[0m                 \u001b[0mkey_padding_mask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkey_padding_mask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mneed_weights\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mneed_weights\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 783\u001b[0;31m                 attn_mask=attn_mask)\n\u001b[0m\u001b[1;32m    784\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    785\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/functional.py\u001b[0m in \u001b[0;36mmulti_head_attention_forward\u001b[0;34m(query, key, value, embed_dim_to_check, num_heads, in_proj_weight, in_proj_bias, bias_k, bias_v, add_zero_attn, dropout_p, out_proj_weight, out_proj_bias, training, key_padding_mask, need_weights, attn_mask, use_separate_proj_weight, q_proj_weight, k_proj_weight, v_proj_weight, static_k, static_v)\u001b[0m\n\u001b[1;32m   3236\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0m_b\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3237\u001b[0m                     \u001b[0m_b\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_b\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0m_start\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3238\u001b[0;31m                 \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlinear\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_w\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_b\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchunk\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3239\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3240\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/jup3.7.3/lib/python3.7/site-packages/torch/nn/functional.py\u001b[0m in \u001b[0;36mlinear\u001b[0;34m(input, weight, bias)\u001b[0m\n\u001b[1;32m   1370\u001b[0m         \u001b[0mret\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maddmm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbias\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mweight\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1371\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1372\u001b[0;31m         \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmatmul\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mweight\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1373\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mbias\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1374\u001b[0m             \u001b[0moutput\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mbias\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mRuntimeError\u001b[0m: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 10.76 GiB total capacity; 8.25 GiB already allocated; 15.38 MiB free; 156.57 MiB cached)"
     ]
    }
   ],
   "source": [
    "for PL_MODEL_CLS in [TransformerSeq2Seq_PL, PL_ANPRNN]:\n",
    "    name = str(PL_MODEL_CLS.__name__)\n",
    "    func = functools.partial(objective,\n",
    "                             PL_MODEL_CLS=PL_MODEL_CLS,\n",
    "                             name=name,\n",
    "                             user_attrs=default_user_attrs)\n",
    "\n",
    "    parser = argparse.ArgumentParser(description='PyTorch Lightning example.')\n",
    "    parser.add_argument(\n",
    "        '--pruning',\n",
    "        '-p',\n",
    "        action='store_true',\n",
    "        help='Activate the pruning feature. `MedianPruner` stops unpromising '\n",
    "        'trials at the early stages of training.')\n",
    "    args = parser.parse_args(['-p'])\n",
    "\n",
    "    pruner = optuna.pruners.MedianPruner(\n",
    "        n_warmup_steps=1,\n",
    "        n_startup_trials=6) if args.pruning else optuna.pruners.NopPruner()\n",
    "    pruner = optuna.pruners.PercentilePruner(75.0)\n",
    "\n",
    "    study = optuna.create_study(direction='minimize',\n",
    "                                pruner=pruner,\n",
    "                                storage=f'sqlite:///{optuna_path}/{name}.db',\n",
    "                                study_name=name,\n",
    "                                load_if_exists=True)\n",
    "\n",
    "#     1/0\n",
    "    study.optimize(func=func,\n",
    "                   n_trials=200,\n",
    "                   timeout=pd.Timedelta('0.5d').total_seconds())\n",
    "\n",
    "    print('Number of finished trials: {}'.format(len(study.trials)))\n",
    "\n",
    "    print('Best trial:')\n",
    "    trial = study.best_trial\n",
    "\n",
    "    print('  Value: {}'.format(trial.value))\n",
    "\n",
    "    print('  Params: ')\n",
    "    for key, value in trial.params.items():\n",
    "        print('    {}: {}'.format(key, value))\n",
    "\n",
    "    # shutil.rmtree(MODEL_DIR)\n",
    "\n",
    "    df = study.trials_dataframe(attrs=('number', 'value', 'params', 'state'))\n",
    "    print(df.sort_values('value'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T03:30:29.110535Z",
     "start_time": "2020-07-05T02:51:03.900Z"
    }
   },
   "outputs": [],
   "source": [
    "PL_MODEL_CLS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-05T03:30:29.112097Z",
     "start_time": "2020-07-05T02:51:03.900Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df = study.trials_dataframe(attrs=('number', 'value', 'params', 'state'))\n",
    "df.sort_values('value')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-27T07:45:29.794794Z",
     "start_time": "2020-01-27T07:45:29.733450Z"
    }
   },
   "outputs": [],
   "source": []
  }
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