project.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clickbait spoiling 🖱️\n",
    "Task description: https://pan.webis.de/semeval23/pan23-web/clickbait-challenge.html (task 2)\n",
    "\n",
    "Data: https://zenodo.org/record/6362726#.YsbdSTVBzrk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from transformers.models.bert.tokenization_bert import BertTokenizer\n",
    "from transformers.pipelines import pipeline\n",
    "import torch \n",
    "from torch.utils.data import DataLoader\n",
    "import torch.optim as optim\n",
    "\n",
    "from src.data import read_data, read_spoilers, read_data_classification\n",
    "from src.inference import run_inference, best_query, get_spoiler_from_user_input\n",
    "from src.evaluation import eval_task_2, plot_scores, plot_comparison_scores\n",
    "from src.bert_classifier import BertDataset, BERTClassifier, finetune_BERT, predict_spoiler_class_from_text\n",
    "from src.qa_training import finetune_roberta\n",
    "from src.plots import get_spoiler_positions_plot\n",
    "\n",
    "from pygaggle.rerank.transformer import MonoT5, MonoBERT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "DEVICE = \"cuda\""
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA\n",
    "The structure of the data is thoroughly described under the aforementioned link.\n",
    "\n",
    "What might be interesting is the spoiler type classes distribution and the distribution of spoiler positions (per class and collectively.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df = read_data(\"data/train.jsonl\")\n",
    "phrase_df = train_df[train_df[\"tags\"] == 1]\n",
    "passage_df = train_df[train_df[\"tags\"] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train data count:  3200\n",
      "Phrase spoiler count:  1367\n",
      "Passage spoiler count:  1833\n"
     ]
    }
   ],
   "source": [
    "print(\"Train data count: \", len(train_df))\n",
    "print(\"Phrase spoiler count: \", len(phrase_df))\n",
    "print(\"Passage spoiler count: \", len(passage_df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_spoiler_positions_plot([train_df], \"green\", [\"- all\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_spoiler_positions_plot([phrase_df, passage_df], \"deeppink\", [\"- phrases\", \"- passages\"])"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluation\n",
    "We will use methods inspired on script provided by SemEval23 organizers to evaluate our approaches. The function takes data in the form of JSONL file with columns `uuid` and `spoiler`.\n",
    "\n",
    "The modules calculates two scores:\n",
    "1. [BLEU](https://pl.wikipedia.org/wiki/BLEU): Quality is considered to be the correspondence between a machine's output and that of a human, the higher the better. The score takes values between 0 and 1.\n",
    "![image.png](attachment:image.png)\n",
    "2. [BERT](https://github.com/Tiiiger/bert_score): Leverages the pre-trained contextual embeddings from BERT and matches words in candidate and reference sentences by cosine similarity. The range is -1 to 1.\n",
    "![image-2.png](attachment:image-2.png)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Approach\n",
    "## Spoiler-type classification\n",
    "The approach based on [Clickbait Spoiling via Question Answering and Passage Retrieval](https://aclanthology.org/2022.acl-long.484) (Hagen et al., ACL 2022) where firstly a spoiler is classified as \"phrase\", \"passage\", \"multi\" and depending on the classification either QA or PR problem is solved. \n",
    "\n",
    "Here, we'll use BERT for the classification part (the classificatin is either `phrase` or `passage` - meaning 'passage'/'multi'[multi passage])."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fine-Tuning BERT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fcac399b182e4b6da109324b16394d9c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading (…)solve/main/vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a9739eb328a748f09ed2b6dd588a0e01",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading (…)okenizer_config.json:   0%|          | 0.00/28.0 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8f2ee10a001649dab180b0541fb90a78",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading (…)lve/main/config.json:   0%|          | 0.00/570 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "MODEL_CHECKPOINT = \"bert-base-uncased\"\n",
    "\n",
    "train_classification = read_data_classification(\"data/train.jsonl\")\n",
    "tokenizer = BertTokenizer.from_pretrained(MODEL_CHECKPOINT)\n",
    "\n",
    "dataset = BertDataset(tokenizer, train_classification)\n",
    "dataloader = DataLoader(dataset=dataset, batch_size=32)\n",
    "\n",
    "# model = BERTClassifier(MODEL_CHECKPOINT)\n",
    "# model = finetune_BERT(10, dataloader, model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertModel: ['cls.predictions.decoder.weight', 'cls.predictions.transform.dense.bias', 'cls.predictions.bias', 'cls.seq_relationship.weight', 'cls.seq_relationship.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.LayerNorm.weight']\n",
      "- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    }
   ],
   "source": [
    "# load the model\n",
    "PATH = \"models/bert_100_epochs.pt\"\n",
    "model = BERTClassifier(MODEL_CHECKPOINT)\n",
    "model.load_state_dict(torch.load(PATH, map_location=torch.device(DEVICE)))\n",
    "model.eval();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uuid</th>\n",
       "      <th>title</th>\n",
       "      <th>question</th>\n",
       "      <th>context</th>\n",
       "      <th>sentences</th>\n",
       "      <th>context_classification</th>\n",
       "      <th>spoiler</th>\n",
       "      <th>positions</th>\n",
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       "      <td>Five Nights at Freddy’s Sequel Delayed for Wei...</td>\n",
       "      <td>[Five Nights at Freddy’s creator Scott Cawthon...</td>\n",
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       "      <td>Five Nights at Freddy’s Sequel Delayed for Wei...</td>\n",
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       "      <td>Why Arizona Sheriff Joe Arpaio’s fate could ha...</td>\n",
       "      <td>Why Arizona Sheriff Joe Arpaio’s fate could ha...</td>\n",
       "      <td>[© REUTERS/Laura Segall Maricopa County Sherif...</td>\n",
       "      <td>[© REUTERS/Laura Segall Maricopa County Sherif...</td>\n",
       "      <td>Why Arizona Sheriff Joe Arpaio’s fate could ha...</td>\n",
       "      <td>\"intentionally\" could transform a court case a...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>[Here’s how much you should be tipping your ha...</td>\n",
       "      <td>Here’s how much you should be tipping your hai...</td>\n",
       "      <td>20%</td>\n",
       "      <td>[[[3, 58], [3, 61]]]</td>\n",
       "      <td>1</td>\n",
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       "                                   uuid  \\\n",
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       "2  8091ba93-6376-473a-9117-01d6cf0507e4   \n",
       "\n",
       "                                               title  \\\n",
       "0  Five Nights at Freddy’s Sequel Delayed for Wei...   \n",
       "1  Why Arizona Sheriff Joe Arpaio’s fate could ha...   \n",
       "2  Here’s how much you should be tipping your hai...   \n",
       "\n",
       "                                            question  \\\n",
       "0  Five Nights at Freddy’s Sequel Delayed for Wei...   \n",
       "1  Why Arizona Sheriff Joe Arpaio’s fate could ha...   \n",
       "2  Here’s how much you should be tipping your hai...   \n",
       "\n",
       "                                             context  \\\n",
       "0  [Five Nights at Freddy’s creator Scott Cawthon...   \n",
       "1  [© REUTERS/Laura Segall Maricopa County Sherif...   \n",
       "2  [Here’s how much you should be tipping your ha...   \n",
       "\n",
       "                                           sentences  \\\n",
       "0  [Five Nights at Freddy’s creator Scott Cawthon...   \n",
       "1  [© REUTERS/Laura Segall Maricopa County Sherif...   \n",
       "2  [Here’s how much you should be tipping your ha...   \n",
       "\n",
       "                              context_classification  \\\n",
       "0  Five Nights at Freddy’s Sequel Delayed for Wei...   \n",
       "1  Why Arizona Sheriff Joe Arpaio’s fate could ha...   \n",
       "2  Here’s how much you should be tipping your hai...   \n",
       "\n",
       "                                             spoiler  \\\n",
       "0  some of the plot elements are so disturbing th...   \n",
       "1  \"intentionally\" could transform a court case a...   \n",
       "2                                                20%   \n",
       "\n",
       "                                      positions  tags  \n",
       "0                        [[[2, 158], [2, 236]]]     0  \n",
       "1  [[[0, 197], [0, 212]], [[0, 215], [0, 328]]]     0  \n",
       "2                          [[[3, 58], [3, 61]]]     1  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "validation_df = read_data(\"data/validation.jsonl\")\n",
    "validation_df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This guy went on a holiday with a group of total strangers for the greatest reason For Nathan’s birthday, nine of his friends planned a trip to Majorca. But unfortunately one of them, Joe McGrath, bailed. Instead of having to look at one empty seat all week, the group of friends decided to take matters into their own hands, and find a new Joe McGrath to take with them. One of the group messaged some Joe McGraths on Facebook. He wrote: Would you consider coming on holiday with a group of nine strangers if they had already arranged flights for you and an all inclusive hotel? It’s our friend Nathan’s 30th birthday and we decided to throw him a surprise holiday break in Mallorca. They asked 15 namesakes, but only this one said yes: @GRALambo They asked 15 Joe McGraths and I was the only mad enough Joe to say yes!!! So this happened pic.twitter.com/99MQXdZVyw McGrath wrote on Facebook that he doubted the legitimacy of the offer at first. He wrote: Although I had my doubt if the offer was legit, I decided to take the plunge as my legendary boss gave me the time off work. I drove down to Bristol on Saturday night and had a mad three days with complete strangers that I think I can all my good friends. What a mega group of people! I loved every minute of it. I want to apologise to my mum who thought I knew these people all along.\n",
      "True label: 0, predicted label: passage\n"
     ]
    }
   ],
   "source": [
    "# EXAMPLE PASSAGE (1 - \"phrase\", 0 - \"passage\"/\"multi\")\n",
    "x = 123\n",
    "\n",
    "text = validation_df.iloc[x][\"context_classification\"]\n",
    "tag = validation_df.iloc[x][\"tags\"]\n",
    "print(text)\n",
    "\n",
    "prediction = predict_spoiler_class_from_text(text, model, MODEL_CHECKPOINT)\n",
    "print(f'True label: {tag}, predicted label: {prediction}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200-foot sinkhole swallows 12 buildings A sinkhole nearly 200-foot wide in China's Sichuan Province has swallowed at least 12 buildings and is expected to keep growing. The sinkhole opened up around 12:40 a.m. Friday in the city of Guangyuan, Shanghai is reported. As of 6:30 p.m., the sinkhole had swallowed 12 buildings, but no one was seriously injured. Many who have encounter sinkholes have not been so lucky. In March, a sinkhole opened up underneath the bedroom of a sleeping Florida man, swallowing him entirely. In August 2012, a man in Taiwan was killed after falling into a huge sinkhole in the wake of a typhoon; and that same month, an Idaho woman died after crashing into a sinkhole on the highway caused by gophers.\n",
      "True label: 1, predicted label: phrase\n"
     ]
    }
   ],
   "source": [
    "# EXAMPLE PHRASE (1 - \"phrase\", 0 - \"passage\"/\"multi\")\n",
    "x = 234\n",
    "text = validation_df.iloc[x][\"context_classification\"]\n",
    "tag = validation_df.iloc[x][\"tags\"]\n",
    "print(text)\n",
    "\n",
    "prediction = predict_spoiler_class_from_text(text, model, MODEL_CHECKPOINT)\n",
    "print(f'True label: {tag}, predicted label: {prediction}')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Question Answering approach for `phrase` type of spoilers"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RoBERTa\n",
    "In this part we will use [A Robustly Optimized BERT Pretraining Approach](https://arxiv.org/abs/1907.11692)."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Firstly, we are checking unchanged RoBERTa model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using GPU for pipeline\n",
      "Using GPU for pipeline\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 2/800 [00:00<05:08,  2.59it/s]/home/zuzg/anaconda3/envs/nlp/lib/python3.8/site-packages/transformers/pipelines/base.py:1080: UserWarning: You seem to be using the pipelines sequentially on GPU. In order to maximize efficiency please use a dataset\n",
      "  warnings.warn(\n",
      "100%|██████████| 800/800 [01:38<00:00,  8.16it/s]\n"
     ]
    }
   ],
   "source": [
    "run_inference(\"data/validation.jsonl\", \"data/preds_base.jsonl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/zuzg/anaconda3/envs/nlp/lib/python3.8/site-packages/nltk/translate/bleu_score.py:552: UserWarning: \n",
      "The hypothesis contains 0 counts of 4-gram overlaps.\n",
      "Therefore the BLEU score evaluates to 0, independently of\n",
      "how many N-gram overlaps of lower order it contains.\n",
      "Consider using lower n-gram order or use SmoothingFunction()\n",
      "  warnings.warn(_msg)\n",
      "/home/zuzg/anaconda3/envs/nlp/lib/python3.8/site-packages/nltk/translate/bleu_score.py:552: UserWarning: \n",
      "The hypothesis contains 0 counts of 2-gram overlaps.\n",
      "Therefore the BLEU score evaluates to 0, independently of\n",
      "how many N-gram overlaps of lower order it contains.\n",
      "Consider using lower n-gram order or use SmoothingFunction()\n",
      "  warnings.warn(_msg)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [\u001b[92mo\u001b[0m] The file data/preds_base.jsonl is in JSONL format.\n",
      "  [\u001b[92mo\u001b[0m] The file data/validation.jsonl is in JSONL format.\n",
      "  [\u001b[92mo\u001b[0m] Spoiler generations have correct format. Found 800\n",
      "Run evaluation for all-spoilers\n",
      "  [\u001b[92mo\u001b[0m] Spoiler generations have correct format. Found 800\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/zuzg/anaconda3/envs/nlp/lib/python3.8/site-packages/nltk/translate/bleu_score.py:552: UserWarning: \n",
      "The hypothesis contains 0 counts of 3-gram overlaps.\n",
      "Therefore the BLEU score evaluates to 0, independently of\n",
      "how many N-gram overlaps of lower order it contains.\n",
      "Consider using lower n-gram order or use SmoothingFunction()\n",
      "  warnings.warn(_msg)\n",
      "Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.dense.weight', 'lm_head.dense.bias', 'lm_head.layer_norm.weight', 'lm_head.layer_norm.bias', 'lm_head.decoder.weight', 'lm_head.bias']\n",
      "- This IS expected if you are initializing RobertaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing RobertaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Run evaluation for phrase-spoilers\n",
      "  [\u001b[92mo\u001b[0m] Spoiler generations have correct format. Found 335\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.dense.weight', 'lm_head.dense.bias', 'lm_head.layer_norm.weight', 'lm_head.layer_norm.bias', 'lm_head.decoder.weight', 'lm_head.bias']\n",
      "- This IS expected if you are initializing RobertaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing RobertaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Run evaluation for passage-spoilers\n",
      "  [\u001b[92mo\u001b[0m] Spoiler generations have correct format. Found 322\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.dense.weight', 'lm_head.dense.bias', 'lm_head.layer_norm.weight', 'lm_head.layer_norm.bias', 'lm_head.decoder.weight', 'lm_head.bias']\n",
      "- This IS expected if you are initializing RobertaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing RobertaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Run evaluation for multi-spoilers\n",
      "  [\u001b[92mo\u001b[0m] Spoiler generations have correct format. Found 143\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.dense.weight', 'lm_head.dense.bias', 'lm_head.layer_norm.weight', 'lm_head.layer_norm.bias', 'lm_head.decoder.weight', 'lm_head.bias']\n",
      "- This IS expected if you are initializing RobertaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing RobertaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    }
   ],
   "source": [
    "base_scores = eval_task_2(\"data/preds_base.jsonl\", \"data/validation.jsonl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/zuzg/deep_learning/clickbait-spoiling/src/evaluation.py:290: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axs[i].set_xticklabels(labels, rotation=45)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_scores(base_scores)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is definitely room for improvement, some generated spoiler are perfectly correct, but some are totally missed."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Finetuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d6c06c3eaefa4754a3a439f0c4895ecf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map:   0%|          | 0/1367 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c01a6c75b1f34783a1c3783bfd003464",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map:   0%|          | 0/335 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/zuzg/anaconda3/envs/nlp/lib/python3.8/site-packages/transformers/optimization.py:407: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
      "  warnings.warn(\n",
      "You're using a RobertaTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "      \n",
       "      <progress value='171' max='3420' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      [ 171/3420 00:28 < 08:58, 6.03 it/s, Epoch 0.99/20]\n",
       "    </div>\n",
       "    <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       " <tr style=\"text-align: left;\">\n",
       "      <th>Epoch</th>\n",
       "      <th>Training Loss</th>\n",
       "      <th>Validation Loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table><p>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "finetune_roberta('data/train.jsonl', 'data/validation.jsonl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using GPU for pipeline\n",
      "Using GPU for pipeline\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 2/800 [00:00<02:23,  5.55it/s]/home/zuzg/anaconda3/envs/nlp/lib/python3.8/site-packages/transformers/pipelines/base.py:1080: UserWarning: You seem to be using the pipelines sequentially on GPU. In order to maximize efficiency please use a dataset\n",
      "  warnings.warn(\n",
      "100%|██████████| 800/800 [01:42<00:00,  7.83it/s]\n"
     ]
    }
   ],
   "source": [
    "run_inference(\"data/validation.jsonl\", \"data/preds.jsonl\", \"data/roberta-finetuned\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [\u001b[92mo\u001b[0m] The file data/preds.jsonl is in JSONL format.\n",
      "  [\u001b[92mo\u001b[0m] The file data/validation.jsonl is in JSONL format.\n",
      "  [\u001b[92mo\u001b[0m] Spoiler generations have correct format. Found 800\n",
      "Run evaluation for all-spoilers\n",
      "  [\u001b[92mo\u001b[0m] Spoiler generations have correct format. Found 800\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/zuzg/anaconda3/envs/nlp/lib/python3.8/site-packages/nltk/translate/bleu_score.py:552: UserWarning: \n",
      "The hypothesis contains 0 counts of 2-gram overlaps.\n",
      "Therefore the BLEU score evaluates to 0, independently of\n",
      "how many N-gram overlaps of lower order it contains.\n",
      "Consider using lower n-gram order or use SmoothingFunction()\n",
      "  warnings.warn(_msg)\n",
      "/home/zuzg/anaconda3/envs/nlp/lib/python3.8/site-packages/nltk/translate/bleu_score.py:552: UserWarning: \n",
      "The hypothesis contains 0 counts of 3-gram overlaps.\n",
      "Therefore the BLEU score evaluates to 0, independently of\n",
      "how many N-gram overlaps of lower order it contains.\n",
      "Consider using lower n-gram order or use SmoothingFunction()\n",
      "  warnings.warn(_msg)\n",
      "/home/zuzg/anaconda3/envs/nlp/lib/python3.8/site-packages/nltk/translate/bleu_score.py:552: UserWarning: \n",
      "The hypothesis contains 0 counts of 4-gram overlaps.\n",
      "Therefore the BLEU score evaluates to 0, independently of\n",
      "how many N-gram overlaps of lower order it contains.\n",
      "Consider using lower n-gram order or use SmoothingFunction()\n",
      "  warnings.warn(_msg)\n",
      "Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.dense.weight', 'lm_head.dense.bias', 'lm_head.layer_norm.weight', 'lm_head.layer_norm.bias', 'lm_head.decoder.weight', 'lm_head.bias']\n",
      "- This IS expected if you are initializing RobertaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing RobertaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Run evaluation for phrase-spoilers\n",
      "  [\u001b[92mo\u001b[0m] Spoiler generations have correct format. Found 335\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.dense.weight', 'lm_head.dense.bias', 'lm_head.layer_norm.weight', 'lm_head.layer_norm.bias', 'lm_head.decoder.weight', 'lm_head.bias']\n",
      "- This IS expected if you are initializing RobertaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing RobertaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Run evaluation for passage-spoilers\n",
      "  [\u001b[92mo\u001b[0m] Spoiler generations have correct format. Found 322\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.dense.weight', 'lm_head.dense.bias', 'lm_head.layer_norm.weight', 'lm_head.layer_norm.bias', 'lm_head.decoder.weight', 'lm_head.bias']\n",
      "- This IS expected if you are initializing RobertaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing RobertaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Run evaluation for multi-spoilers\n",
      "  [\u001b[92mo\u001b[0m] Spoiler generations have correct format. Found 143\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.dense.weight', 'lm_head.dense.bias', 'lm_head.layer_norm.weight', 'lm_head.layer_norm.bias', 'lm_head.decoder.weight', 'lm_head.bias']\n",
      "- This IS expected if you are initializing RobertaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing RobertaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    }
   ],
   "source": [
    "scores = eval_task_2(\"data/preds.jsonl\", \"data/validation.jsonl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/zuzg/deep_learning/clickbait-spoiling/src/evaluation.py:290: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axs[i].set_xticklabels(labels, rotation=45)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_scores(scores)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Sample predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uuid</th>\n",
       "      <th>spoiler_true</th>\n",
       "      <th>spoiler_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6dc7ddef-4e8e-4a6b-9296-526377518071</td>\n",
       "      <td>[some of the plot elements are so disturbing that they are making him feel sick]</td>\n",
       "      <td>[too, it, technical, Sister, dark]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>435b24de-56f6-4d4e-9c38-54b8e0630aac</td>\n",
       "      <td>[\"intentionally\", could transform a court case against Phoenix-area Sheriff Joe Arpaio from civil charges to a criminal prosecution]</td>\n",
       "      <td>[\", intentionally, held, criminal, ]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8091ba93-6376-473a-9117-01d6cf0507e4</td>\n",
       "      <td>[20%]</td>\n",
       "      <td>[between]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8b713277-0e5b-4873-a216-b650f21f3b4c</td>\n",
       "      <td>[Alan Rickman &amp; Rupert Grint, CBGB]</td>\n",
       "      <td>[Alan, Rickman, yellow, Grint, Julie]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>a2f91b65-c36c-481f-92b1-2fc77d6411fc</td>\n",
       "      <td>[a man who swallowed a 64GB microSD card and then pooped it into a strainer]</td>\n",
       "      <td>[couldn, t, pooped, puke, recover]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>804ba7e2-2e3b-439b-9ee4-6827939c902d</td>\n",
       "      <td>[Sprite]</td>\n",
       "      <td>[acetaldehyde]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>d636e94d-d27a-4366-b177-1299c266d7b5</td>\n",
       "      <td>[Smoky Paprika-Baked Garbanzo Beans]</td>\n",
       "      <td>[Smoky]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>cf3cb892-fb30-4210-a525-e5e7aa921082</td>\n",
       "      <td>[McGonagall was appointed as Dumbledore’s assistant in 1956, not as his replacement.]</td>\n",
       "      <td>[too, unscathed, Lord, Voldemort, cast]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>a86850fc-047b-432b-bc85-5e198ff4527f</td>\n",
       "      <td>[All the scenes are actually in the movie]</td>\n",
       "      <td>[won, definitely, No, \",, there]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ba35ffbc-1eba-4940-8c68-00eefecd2178</td>\n",
       "      <td>[\"I had fake relationships, fake fights. I don't care anymore, I can tell you.]</td>\n",
       "      <td>[any, 't, how, scripted, couldn]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   uuid  \\\n",
       "0  6dc7ddef-4e8e-4a6b-9296-526377518071   \n",
       "1  435b24de-56f6-4d4e-9c38-54b8e0630aac   \n",
       "2  8091ba93-6376-473a-9117-01d6cf0507e4   \n",
       "3  8b713277-0e5b-4873-a216-b650f21f3b4c   \n",
       "4  a2f91b65-c36c-481f-92b1-2fc77d6411fc   \n",
       "5  804ba7e2-2e3b-439b-9ee4-6827939c902d   \n",
       "6  d636e94d-d27a-4366-b177-1299c266d7b5   \n",
       "7  cf3cb892-fb30-4210-a525-e5e7aa921082   \n",
       "8  a86850fc-047b-432b-bc85-5e198ff4527f   \n",
       "9  ba35ffbc-1eba-4940-8c68-00eefecd2178   \n",
       "\n",
       "                                                                                                                           spoiler_true  \\\n",
       "0                                                      [some of the plot elements are so disturbing that they are making him feel sick]   \n",
       "1  [\"intentionally\", could transform a court case against Phoenix-area Sheriff Joe Arpaio from civil charges to a criminal prosecution]   \n",
       "2                                                                                                                                 [20%]   \n",
       "3                                                                                                   [Alan Rickman & Rupert Grint, CBGB]   \n",
       "4                                                          [a man who swallowed a 64GB microSD card and then pooped it into a strainer]   \n",
       "5                                                                                                                              [Sprite]   \n",
       "6                                                                                                  [Smoky Paprika-Baked Garbanzo Beans]   \n",
       "7                                                 [McGonagall was appointed as Dumbledore’s assistant in 1956, not as his replacement.]   \n",
       "8                                                                                            [All the scenes are actually in the movie]   \n",
       "9                                                       [\"I had fake relationships, fake fights. I don't care anymore, I can tell you.]   \n",
       "\n",
       "                              spoiler_pred  \n",
       "0       [too, it, technical, Sister, dark]  \n",
       "1     [\", intentionally, held, criminal, ]  \n",
       "2                                [between]  \n",
       "3    [Alan, Rickman, yellow, Grint, Julie]  \n",
       "4       [couldn, t, pooped, puke, recover]  \n",
       "5                           [acetaldehyde]  \n",
       "6                                  [Smoky]  \n",
       "7  [too, unscathed, Lord, Voldemort, cast]  \n",
       "8         [won, definitely, No, \",, there]  \n",
       "9         [any, 't, how, scripted, couldn]  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val = read_spoilers(\"data/validation.jsonl\")\n",
    "pred = read_spoilers(\"data/preds.jsonl\")\n",
    "\n",
    "merged = val.merge(pred, on=\"uuid\", suffixes=(\"_true\", \"_pred\"))\n",
    "pd.set_option('display.max_colwidth', None)\n",
    "\n",
    "merged.head(10)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Query Passage approach for `passages` and `multi`.\n",
    "\n",
    "For these types of spoilers we used a state-of-the art passage retrieval approach: `MonoT5` and `MonoBERT`. \n",
    "\n",
    "What is more, as mentioned in the paper, the QA model is also able to retrieve passages (considering the passage as the returned result from which the question answering model extracts its answer)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df = read_data(\"data/train.jsonl\")\n",
    "passages_df = train_df[train_df[\"tags\"] == 0]\n",
    "passages_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "monoBert = MonoBERT()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Here are seven habits you need instead.'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_query(passages_df.iloc[1], monoBert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using GPU for pipeline\n",
      "Using GPU for pipeline\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  1%|▏         | 10/800 [00:02<02:18,  5.71it/s]/home/zuzg/anaconda3/envs/nlp/lib/python3.8/site-packages/transformers/pipelines/base.py:1080: UserWarning: You seem to be using the pipelines sequentially on GPU. In order to maximize efficiency please use a dataset\n",
      "  warnings.warn(\n",
      "100%|██████████| 800/800 [02:32<00:00,  5.24it/s]\n"
     ]
    }
   ],
   "source": [
    "run_inference(\"data/validation.jsonl\", \"data/preds_qr.jsonl\", use_pr=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scores = eval_task_2(\"data/preds_qr.jsonl\", \"data/validation.jsonl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/zuzg/deep_learning/clickbait-spoiling/src/evaluation.py:289: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axs[i].set_xticklabels(labels, rotation=45)\n"
     ]
    },
    {
     "data": {
      "image/png": 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VqFBBt912mySpTp06at++vXr37q0ZM2bo1KlT6t+/v+68805G/gaQ71BUAwAAINe88MILGj58uPr27at9+/apQoUKevDBBzVixAhnm8cee0zHjh3TAw88oJSUFLVu3VpLlixRcHCws82bb76p/v3768Ybb5Sfn5+6dOmiKVOm+GKVAOC8KKoBAACQa0qXLq3Jkydr8uTJ52zjcDg0evRojR49+pxtypQpo3nz5l2CHgJA7uKaagAAAAAAvERRDQAAAACAlyiqAQAAAADwEkU1AAAAAABeoqgGAAAAAMBLFNUAAAAAAHiJW2oBQBFTbegnvu5Crts5vpOvuwAAAIoojlQDAAAAAOAlimoAAAAAALxEUQ0AAAAAgJcoqgEAAAAA8BIDlQEAUETVn1vf113IdZt6bPJ1FwAARQxHqgEAAAAA8BJFNQAAAAAAXqKoBgAAAADASxTVAAAAAAB4iaIaAAAAAAAvUVQDAAAAAOAlimoAAAAAALxEUQ0AAAAAgJcoqgEAAAAA8BJFNQAAAAAAXqKoBgAAAADASwG+7gAAAIAvba1dx9ddyFV1tm31dRcAoEjhSDUAAAAAAF6iqAYAAAAAwEsU1QAAAAAAeImiGgAAAAAAL1FUAwAAAADgJYpqAAAAAAC8RFENAAAAAICXKKoBAAAAAPASRTUAAAAAAF6iqAYAAAAAwEsU1QCQi6ZOnapq1aopODhYUVFRWrt27XnbT548WVdddZWKFy+uypUr65FHHtHJkyfzqLcAAAC4WBTVAJBLFixYoEGDBmnkyJHasGGDGjZsqNjYWO3bty/H9vPmzdPQoUM1cuRIbd26Va+++qoWLFigxx9/PI97DgC5p1q1anI4HG6Pfv36SZJOnjypfv36qWzZsipVqpS6dOmivXv3urxGYmKiOnXqpBIlSig8PFyDBw/W6dOnfbE6APCPKKoBIJc8++yz6t27t3r27Km6detqxowZKlGihGbNmpVj+1WrVqlVq1b6z3/+o2rVqqldu3a66667/vHoNgDkZ+vWrdOePXucj6VLl0qS/v3vf0uSHnnkEX388cd65513tGLFCu3evVt33HGHc/nMzEx16tRJGRkZWrVqlebOnas5c+ZoxIgRPlkfAPgnFNUAkAsyMjK0fv16xcTEOKf5+fkpJiZGCQkJOS7TsmVLrV+/3llE//bbb1q8eLE6duyYJ30GgEvh8ssvV2RkpPOxaNEi1axZU23atFFqaqpeffVVPfvss7rhhhvUtGlTzZ49W6tWrdLq1aslSZ9//rm2bNmiN954Q40aNVKHDh00ZswYTZ06VRkZGT5eOwBwR1ENALngwIEDyszMVEREhMv0iIgIJScn57jMf/7zH40ePVqtW7dWsWLFVLNmTbVt2/a8p3+np6crLS3N5QEA+VVGRobeeOMN/fe//5XD4dD69et16tQplx2QtWvXVpUqVZw7IBMSElS/fn2XPI2NjVVaWpo2b958zvciHwH4CkU1APjI8uXL9dRTT2natGnasGGD3n//fX3yyScaM2bMOZeJj49XaGio81G5cuU87DEAeGbhwoVKSUnRfffdJ0lKTk5WYGCgwsLCXNpl3wGZnJyc4w7Ks/POhXwE4CsU1QCQC8qVKyd/f3+3wXb27t2ryMjIHJcZPny47rnnHt1///2qX7++br/9dj311FOKj49XVlZWjsvExcUpNTXV+UhKSsr1dQGA3PLqq6+qQ4cOqlChwiV/L/IRgK9QVANALggMDFTTpk21bNky57SsrCwtW7ZM0dHROS5z/Phx+fm5xrC/v78kycxyXCYoKEghISEuDwDIj/744w998cUXuv/++53TIiMjlZGRoZSUFJe22XdARkZG5riD8uy8cyEfAfgKRTUA5JJBgwZp5syZmjt3rrZu3ao+ffro2LFj6tmzpyTp3nvvVVxcnLN9586dNX36dM2fP1+///67li5dquHDh6tz587O4hoACqrZs2crPDxcnTp1ck5r2rSpihUr5rID8ueff1ZiYqJzB2R0dLQ2bdrkcjvCpUuXKiQkRHXr1s27FQCACxTg6w4AQGHRrVs37d+/XyNGjFBycrIaNWqkJUuWOK8FTExMdDkyPWzYMDkcDg0bNky7du3S5Zdfrs6dO2vcuHG+WgUAyBVZWVmaPXu2evTooYCAv/7cDA0NVa9evTRo0CCVKVNGISEhGjBggKKjo9WiRQtJUrt27VS3bl3dc889mjhxopKTkzVs2DD169dPQUFBvlolADgnimoAyEX9+/dX//79c5y3fPlyl+cBAQEaOXKkRo4cmQc9A4C888UXXygxMVH//e9/3eY999xz8vPzU5cuXZSenq7Y2FhNmzbNOd/f31+LFi1Snz59FB0drZIlS6pHjx4aPXp0Xq4CAFwwimoAAADkqnbt2p1zbIjg4GBNnTpVU6dOPefyVatW1eLFiy9V9wAgV3FNNQAAAAAAXqKoBgAAAADASxTVAAAAAAB4yauieurUqapWrZqCg4MVFRWltWvXXtBy8+fPl8Ph0G233ebN2wIAAAAAkK94XFQvWLBAgwYN0siRI7VhwwY1bNhQsbGxLvcSzMnOnTv16KOP6tprr/W6swAAAAAA5CceF9XPPvusevfurZ49e6pu3bqaMWOGSpQooVmzZp1zmczMTHXv3l2jRo1SjRo1LqrDAAAAAADkFx4V1RkZGVq/fr1iYmL+egE/P8XExCghIeGcy40ePVrh4eHq1avXBb1Penq60tLSXB4AAAAAAOQ3HhXVBw4cUGZmpiIiIlymR0REKDk5OcdlVq5cqVdffVUzZ8684PeJj49XaGio81G5cmVPugkAAAAAQJ64pKN/HzlyRPfcc49mzpypcuXKXfBycXFxSk1NdT6SkpIuYS8BAAAAAPBOgCeNy5UrJ39/f+3du9dl+t69exUZGenWfseOHdq5c6c6d+7snJaVlXXmjQMC9PPPP6tmzZpuywUFBSkoKMiTrgEAAAAAkOc8OlIdGBiopk2batmyZc5pWVlZWrZsmaKjo93a165dW5s2bdLGjRudj1tuuUXXX3+9Nm7cyGndAAAAAIACzaMj1ZI0aNAg9ejRQ82aNdM111yjyZMn69ixY+rZs6ck6d5771XFihUVHx+v4OBgXX311S7Lh4WFSZLbdAAAAAAAChqPi+pu3bpp//79GjFihJKTk9WoUSMtWbLEOXhZYmKi/Pwu6aXaAAAAAADkCx4X1ZLUv39/9e/fP8d5y5cvP++yc+bM8eYtAQAAAADIdzikDAAAAACAlyiqAQAAAADwEkU1AAAAAABeoqgGAAAAAMBLFNUAAAAAAHiJohoAAAAAAC9RVAMAAAAA4CWKagAAAAAAvERRDQAAAACAlyiqAQAAAADwEkU1AAAAAABeoqgGAAAAAMBLFNUAAAAAAHiJohoAAAAAAC9RVAMAAAAA4CWKagAAAAAAvERRDQAAAACAlyiqAQAAAADwEkU1AAAAAABeoqgGAAAAAMBLFNUAAAAAAHiJohoAAAC5ateuXbr77rtVtmxZFS9eXPXr19d3333nnG9mGjFihMqXL6/ixYsrJiZGv/76q8trHDp0SN27d1dISIjCwsLUq1cvHT16NK9XBQD+EUU1AAAAcs3hw4fVqlUrFStWTJ9++qm2bNmiZ555RpdddpmzzcSJEzVlyhTNmDFDa9asUcmSJRUbG6uTJ08623Tv3l2bN2/W0qVLtWjRIn399dd64IEHfLFKAHBeAb7uAAAAAAqPCRMmqHLlypo9e7ZzWvXq1Z3/NzNNnjxZw4YN06233ipJeu211xQREaGFCxfqzjvv1NatW7VkyRKtW7dOzZo1kyS98MIL6tixoyZNmqQKFSrk7UoBwHlwpBoAAAC55qOPPlKzZs3073//W+Hh4WrcuLFmzpzpnP/7778rOTlZMTExzmmhoaGKiopSQkKCJCkhIUFhYWHOglqSYmJi5OfnpzVr1uT4vunp6UpLS3N5AEBeoKgGAABArvntt980ffp0XXHFFfrss8/Up08f/e9//9PcuXMlScnJyZKkiIgIl+UiIiKc85KTkxUeHu4yPyAgQGXKlHG2+bv4+HiFhoY6H5UrV87tVQOAHFFUAwAAINdkZWWpSZMmeuqpp9S4cWM98MAD6t27t2bMmHFJ3zcuLk6pqanOR1JS0iV9PwA4i6IaAAAAuaZ8+fKqW7euy7Q6deooMTFRkhQZGSlJ2rt3r0ubvXv3OudFRkZq3759LvNPnz6tQ4cOOdv8XVBQkEJCQlweAJAXKKoBAACQa1q1aqWff/7ZZdovv/yiqlWrSjozaFlkZKSWLVvmnJ+WlqY1a9YoOjpakhQdHa2UlBStX7/e2ebLL79UVlaWoqKi8mAtAODCMfo3AAAAcs0jjzyili1b6qmnnlLXrl21du1avfzyy3r55ZclSQ6HQwMHDtTYsWN1xRVXqHr16ho+fLgqVKig2267TdKZI9vt27d3njZ+6tQp9e/fX3feeScjfwPIdyiqAQAAkGuaN2+uDz74QHFxcRo9erSqV6+uyZMnq3v37s42jz32mI4dO6YHHnhAKSkpat26tZYsWaLg4GBnmzfffFP9+/fXjTfeKD8/P3Xp0kVTpkzxxSoBwHlRVAMAACBX3Xzzzbr55pvPOd/hcGj06NEaPXr0OduUKVNG8+bNuxTdA4BcxTXVAAAAAAB4iaIaAAAAAAAvUVQDAAAAAOAlimoAAAAAALxEUQ0AAAAAgJcoqgEAAAAA8BJFNQAAAAAAXqKoBgAAAADASxTVAAAAAAB4iaIaAAAAAAAvUVQDAAAAAOAlimoAAAAAALxEUQ0AAAAAgJcoqgEAAAAA8BJFNQAAAAAAXqKoBgAAAADASxTVAAAAAAB4iaIaAAAAAAAvUVQDAAAAAOAlimoAAAAAALxEUQ0AAAAAgJcoqgEAAAAA8BJFNQAAAAAAXqKoBoBcNHXqVFWrVk3BwcGKiorS2rVrz9s+JSVF/fr1U/ny5RUUFKQrr7xSixcvzqPeAgAA4GIF+LoDAFBYLFiwQIMGDdKMGTMUFRWlyZMnKzY2Vj///LPCw8Pd2mdkZOimm25SeHi43n33XVWsWFF//PGHwsLC8r7zAAAA8ApFNQDkkmeffVa9e/dWz549JUkzZszQJ598olmzZmno0KFu7WfNmqVDhw5p1apVKlasmCSpWrVqedllAAAAXCRO/waAXJCRkaH169crJibGOc3Pz08xMTFKSEjIcZmPPvpI0dHR6tevnyIiInT11VfrqaeeUmZm5jnfJz09XWlpaS4PAAAA+A5FNQDkggMHDigzM1MREREu0yMiIpScnJzjMr/99pveffddZWZmavHixRo+fLieeeYZjR079pzvEx8fr9DQUOejcuXKuboeAAAA8AxFNQD4SFZWlsLDw/Xyyy+radOm6tatm5544gnNmDHjnMvExcUpNTXV+UhKSsrDHgMAAODvuKYaAHJBuXLl5O/vr71797pM37t3ryIjI3Ncpnz58ipWrJj8/f2d0+rUqaPk5GRlZGQoMDDQbZmgoCAFBQXlbucBAADgNY5UA0AuCAwMVNOmTbVs2TLntKysLC1btkzR0dE5LtOqVStt375dWVlZzmm//PKLypcvn2NBDQAAgPyHohoAcsmgQYM0c+ZMzZ07V1u3blWfPn107Ngx52jg9957r+Li4pzt+/Tpo0OHDunhhx/WL7/8ok8++URPPfWU+vXr56tVAAAAgIc4/RsAckm3bt20f/9+jRgxQsnJyWrUqJGWLFniHLwsMTFRfn5/7cusXLmyPvvsMz3yyCNq0KCBKlasqIcfflhDhgzx1SoAAADAQxTVAJCL+vfvr/79++c4b/ny5W7ToqOjtXr16kvcKwAAAFwqXp3+PXXqVFWrVk3BwcGKiorS2rVrz9n2/fffV7NmzRQWFqaSJUuqUaNGev31173uMAAAAAAA+YXHRfWCBQs0aNAgjRw5Uhs2bFDDhg0VGxurffv25di+TJkyeuKJJ5SQkKAff/xRPXv2VM+ePfXZZ59ddOcBAACQvzz55JNyOBwuj9q1azvnnzx5Uv369VPZsmVVqlQpdenSxe3OCYmJierUqZNKlCih8PBwDR48WKdPn87rVQGAC+JxUf3ss8+qd+/e6tmzp+rWrasZM2aoRIkSmjVrVo7t27Ztq9tvv1116tRRzZo19fDDD6tBgwZauXLlRXceAAAA+U+9evW0Z88e5yP7332PPPKIPv74Y73zzjtasWKFdu/erTvuuMM5PzMzU506dVJGRoZWrVqluXPnas6cORoxYoQvVgUA/pFHRXVGRobWr1+vmJiYv17Az08xMTFKSEj4x+XNTMuWLdPPP/+s66677pzt0tPTlZaW5vIAAABAwRAQEKDIyEjno1y5cpKk1NRUvfrqq3r22Wd1ww03qGnTppo9e7ZWrVrlHF/i888/15YtW/TGG2+oUaNG6tChg8aMGaOpU6cqIyPDl6sFADnyqKg+cOCAMjMznSPZnhUREaHk5ORzLpeamqpSpUopMDBQnTp10gsvvKCbbrrpnO3j4+MVGhrqfFSuXNmTbgIAAMCHfv31V1WoUEE1atRQ9+7dlZiYKElav369Tp065XKApnbt2qpSpYrzAE1CQoLq16/v8vdmbGys0tLStHnz5nO+JwdlAPhKntynunTp0tq4caPWrVuncePGadCgQTmOgntWXFycUlNTnY+kpKS86CYAAAAuUlRUlObMmaMlS5Zo+vTp+v3333XttdfqyJEjSk5OVmBgoMLCwlyWyX6AJjk5OccDOGfnnQsHZQD4ike31CpXrpz8/f3dBpPYu3evIiMjz7mcn5+fatWqJUlq1KiRtm7dqvj4eLVt2zbH9kFBQQoKCvKkawAAAMgHOnTo4Px/gwYNFBUVpapVq+rtt99W8eLFL9n7xsXFadCgQc7naWlpFNYA8oRHR6oDAwPVtGlTLVu2zDktKytLy5YtU3R09AW/TlZWltLT0z15awAAABRAYWFhuvLKK7V9+3ZFRkYqIyNDKSkpLm2yH6CJjIzM8QDO2XnnEhQUpJCQEJcHAOQFj0//HjRokGbOnKm5c+dq69at6tOnj44dO6aePXtKku69917FxcU528fHx2vp0qX67bfftHXrVj3zzDN6/fXXdffdd+feWgAAACBfOnr0qHbs2KHy5curadOmKlasmMsBmp9//lmJiYnOAzTR0dHatGmTy+1aly5dqpCQENWtWzfP+w8A/8Sj078lqVu3btq/f79GjBih5ORkNWrUSEuWLHFe65KYmCg/v79q9WPHjqlv3776888/Vbx4cdWuXVtvvPGGunXrlntrAQAAgHzh0UcfVefOnVW1alXt3r1bI0eOlL+/v+666y6FhoaqV69eGjRokMqUKaOQkBANGDBA0dHRatGihSSpXbt2qlu3ru655x5NnDhRycnJGjZsmPr168flgQDyJY+Laknq37+/+vfvn+O8vw9ANnbsWI0dO9abtwEAAEAB8+eff+quu+7SwYMHdfnll6t169ZavXq1Lr/8cknSc889Jz8/P3Xp0kXp6emKjY3VtGnTnMv7+/tr0aJF6tOnj6Kjo1WyZEn16NFDo0eP9tUqAcB5eVVUAwAAADmZP3/+eecHBwdr6tSpmjp16jnbVK1aVYsXL87trgHAJZEnt9QCAAAAAKAwoqgGAAAAAMBLFNUAAAAAAHiJohoAAAAAAC9RVAMAAAAA4CWKagAAAAAAvERRDQAAAACAlyiqAQAAAADwEkU1AAAAAABeoqgGAAAAAMBLFNUAAAAAAHiJohoAAAAAAC9RVAMAAAAA4CWKagAAAAAAvERRDQAAAACAlyiqAQAAAADwEkU1AAAAAABeoqgGAAAAAMBLFNUAAAAAAHiJohoAAAAAAC9RVAMAAAAA4CWKagAAAAAAvBTg6w5cKtWGfuLrLuS6neM7+boLAAAAAIBsOFINAAAAAICXKKoBAAAAAPASRTUAAAAAAF6iqAYAAAAAwEsU1QAAAAAAeImiGgAAAAAAL1FUAwAAAADgJYpqAAAAAAC8RFENAAAAAICXKKoBAAAAAPASRTUAAAAAAF6iqAYAAMAlM378eDkcDg0cONA57eTJk+rXr5/Kli2rUqVKqUuXLtq7d6/LcomJierUqZNKlCih8PBwDR48WKdPn87j3gPAP6OoBgAAwCWxbt06vfTSS2rQoIHL9EceeUQff/yx3nnnHa1YsUK7d+/WHXfc4ZyfmZmpTp06KSMjQ6tWrdLcuXM1Z84cjRgxIq9XAQD+EUU1AAAAct3Ro0fVvXt3zZw5U5dddplzempqql599VU9++yzuuGGG9S0aVPNnj1bq1at0urVqyVJn3/+ubZs2aI33nhDjRo1UocOHTRmzBhNnTpVGRkZvlolAMgRRTUAAAByXb9+/dSpUyfFxMS4TF+/fr1OnTrlMr127dqqUqWKEhISJEkJCQmqX7++IiIinG1iY2OVlpamzZs3580KAMAFCvB1BwAAAFC4zJ8/Xxs2bNC6devc5iUnJyswMFBhYWEu0yMiIpScnOxsk72gPjv/7LycpKenKz093fk8LS3tYlYBAC4YR6oBAACQa5KSkvTwww/rzTffVHBwcJ69b3x8vEJDQ52PypUr59l7AyjaKKoBAACQa9avX699+/apSZMmCggIUEBAgFasWKEpU6YoICBAERERysjIUEpKistye/fuVWRkpCQpMjLSbTTws8/Ptvm7uLg4paamOh9JSUm5v3IAkAOKagAAAOSaG2+8UZs2bdLGjRudj2bNmql79+7O/xcrVkzLli1zLvPzzz8rMTFR0dHRkqTo6Ght2rRJ+/btc7ZZunSpQkJCVLdu3RzfNygoSCEhIS4PAMgLXFMNAACAXFO6dGldffXVLtNKliypsmXLOqf36tVLgwYNUpkyZRQSEqIBAwYoOjpaLVq0kCS1a9dOdevW1T333KOJEycqOTlZw4YNU79+/RQUFJTn6wQA50NRDQAAgDz13HPPyc/PT126dFF6erpiY2M1bdo053x/f38tWrRIffr0UXR0tEqWLKkePXpo9OjRPuw1AOSMohoAAACX1PLly12eBwcHa+rUqZo6deo5l6lataoWL158iXsGABePa6oBAAAAAPASRTUAAAAAAF6iqAYAAAAAwEsU1QAAAAAAeImiGgAAAAAAL1FUAwAAAADgJYpqAAAAAAC8RFENAAAAAICXKKoBAAAAAPASRTUAAAAAAF6iqAYAAAAAwEsU1QAAAAAAeImiGgBy0dSpU1WtWjUFBwcrKipKa9euvaDl5s+fL4fDodtuu+3SdhAAAAC5iqIaAHLJggULNGjQII0cOVIbNmxQw4YNFRsbq3379p13uZ07d+rRRx/Vtddem0c9BQAAQG6hqAaAXPLss8+qd+/e6tmzp+rWrasZM2aoRIkSmjVr1jmXyczMVPfu3TVq1CjVqFEjD3sLAACA3EBRDQC5ICMjQ+vXr1dMTIxzmp+fn2JiYpSQkHDO5UaPHq3w8HD16tUrL7oJAACAXBbg6w4AQGFw4MABZWZmKiIiwmV6RESEtm3bluMyK1eu1KuvvqqNGzde8Pukp6crPT3d+TwtLc2r/gIAACB3cKQaAHzgyJEjuueeezRz5kyVK1fugpeLj49XaGio81G5cuVL2EsAAAD8E45UA0AuKFeunPz9/bV3716X6Xv37lVkZKRb+x07dmjnzp3q3Lmzc1pWVpYkKSAgQD///LNq1qzptlxcXJwGDRrkfJ6WlkZhDQAA4ENeHan25JYxM2fO1LXXXqvLLrtMl112mWJiYi74FjMAUFAEBgaqadOmWrZsmXNaVlaWli1bpujoaLf2tWvX1qZNm7Rx40bn45ZbbtH111+vjRs3nrNQDgoKUkhIiMsDAAAAvuNxUe3pLWOWL1+uu+66S1999ZUSEhJUuXJltWvXTrt27brozgNAfjJo0CDNnDlTc+fO1datW9WnTx8dO3ZMPXv2lCTde++9iouLkyQFBwfr6quvdnmEhYWpdOnSuvrqqxUYGOjLVQEAAMAF8vj07+y3jJGkGTNm6JNPPtGsWbM0dOhQt/Zvvvmmy/NXXnlF7733npYtW6Z7773Xy24DQP7TrVs37d+/XyNGjFBycrIaNWqkJUuWOAcvS0xMlJ8fQ1kAAAAUJh4V1WdvGXP2SIt0YbeMye748eM6deqUypQp41lPAaAA6N+/v/r375/jvOXLl5932Tlz5uR+hwAAAHBJeVRUe3PLmL8bMmSIKlSo4HIv17/jljEAAAAAgIIgT0f/Hj9+vObPn6/ly5crODj4nO3i4+M1atSoPOwZAAAAAEnSk6G+7kHuejLV1z1AIefRxX2e3jImu0mTJmn8+PH6/PPP1aBBg/O2jYuLU2pqqvORlJTkSTcBAAAAAMgTHhXVnt4y5qyJEydqzJgxWrJkiZo1a/aP78MtYwAAAAAABYHHp38PGjRIPXr0ULNmzXTNNddo8uTJbreMqVixouLj4yVJEyZM0IgRIzRv3jxVq1ZNycnJkqRSpUqpVKlSubgqAAAAAADkLY+Lak9vGTN9+nRlZGToX//6l8vrjBw5Uk8++eTF9R4AAAAAAB/yaqAyT24Zs3PnTm/eAgAAAACAfC9PR/8GAAAAgIKg/tz6vu5CrtrUY5Ovu1BoeTRQGQAAAAAA+AtFNQAAAAAAXqKoBgAAAADASxTVAAAAAAB4iaIaAAAAuWb69Olq0KCBQkJCFBISoujoaH366afO+SdPnlS/fv1UtmxZlSpVSl26dNHevXtdXiMxMVGdOnVSiRIlFB4ersGDB+v06dN5vSoAcEEoqgEAAJBrKlWqpPHjx2v9+vX67rvvdMMNN+jWW2/V5s2bJUmPPPKIPv74Y73zzjtasWKFdu/erTvuuMO5fGZmpjp16qSMjAytWrVKc+fO1Zw5czRixAhfrRIAnBe31AIAAECu6dy5s8vzcePGafr06Vq9erUqVaqkV199VfPmzdMNN9wgSZo9e7bq1Kmj1atXq0WLFvr888+1ZcsWffHFF4qIiFCjRo00ZswYDRkyRE8++aQCAwN9sVoAcE4cqQYAAMAlkZmZqfnz5+vYsWOKjo7W+vXrderUKcXExDjb1K5dW1WqVFFCQoIkKSEhQfXr11dERISzTWxsrNLS0pxHuwEgP+FINQAAAHLVpk2bFB0drZMnT6pUqVL64IMPVLduXW3cuFGBgYEKCwtzaR8REaHk5GRJUnJysktBfXb+2Xnnkp6ervT0dOfztLS0XFobADg/jlQDAAAgV1111VXauHGj1qxZoz59+qhHjx7asmXLJX3P+Ph4hYaGOh+VK1e+pO8HAGdRVAMAACBXBQYGqlatWmratKni4+PVsGFDPf/884qMjFRGRoZSUlJc2u/du1eRkZGSpMjISLfRwM8+P9smJ3FxcUpNTXU+kpKScnelAOAcKKoBAABwSWVlZSk9PV1NmzZVsWLFtGzZMue8n3/+WYmJiYqOjpYkRUdHa9OmTdq3b5+zzdKlSxUSEqK6deue8z2CgoKct/E6+wCAvMA11QAAAMg1cXFx6tChg6pUqaIjR45o3rx5Wr58uT777DOFhoaqV69eGjRokMqUKaOQkBANGDBA0dHRatGihSSpXbt2qlu3ru655x5NnDhRycnJGjZsmPr166egoCAfrx0AuKOoBgAAQK7Zt2+f7r33Xu3Zs0ehoaFq0KCBPvvsM910002SpOeee05+fn7q0qWL0tPTFRsbq2nTpjmX9/f316JFi9SnTx9FR0erZMmS6tGjh0aPHu2rVQKA86KoBgAAQK559dVXzzs/ODhYU6dO1dSpU8/ZpmrVqlq8eHFudw0ALgmuqQYAAAAAwEsU1QAAAAAAeImiGgAAAAAAL1FUAwAAAADgJYpqAAAAAAC8RFENAAAAAICXKKoBAAAAAPASRTUAAAAAAF6iqAYAAAAAwEsU1QAAAAAAeImiGgAAAAAAL1FUAwAAAADgJYpqAAAAAAC8RFENAAAAAICXKKoBAAAAAPASRTUAAAAAAF6iqAYAAAAAwEsU1QAAAAAAeImiGgAAAAAAL1FUAwAAAADgJYpqAAAAAAC8RFENAAAAAICXKKoBAAAAAPASRTUAAAAAAF6iqAYAAAAAwEsU1QAAAAAAeImiGgAAAAAAL1FUAwAAAADgJYpqAAAAAAC8RFENAAAAAICXKKoBAAAAAPASRTUAAAAAAF6iqAYAAAAAwEsU1QAAAAAAeImiGgAAAAAAL1FUAwAAINfEx8erefPmKl26tMLDw3Xbbbfp559/dmlz8uRJ9evXT2XLllWpUqXUpUsX7d2716VNYmKiOnXqpBIlSig8PFyDBw/W6dOn83JVAOCCBPi6A8ClVn9ufV93IVdt6rHJ110AAOCcVqxYoX79+ql58+Y6ffq0Hn/8cbVr105btmxRyZIlJUmPPPKIPvnkE73zzjsKDQ1V//79dccdd+jbb7+VJGVmZqpTp06KjIzUqlWrtGfPHt17770qVqyYnnrqKV+uHgC4oagGAABArlmyZInL8zlz5ig8PFzr16/Xddddp9TUVL366quaN2+ebrjhBknS7NmzVadOHa1evVotWrTQ559/ri1btuiLL75QRESEGjVqpDFjxmjIkCF68sknFRgY6ItVA4Accfo3AAAALpnU1FRJUpkyZSRJ69ev16lTpxQTE+NsU7t2bVWpUkUJCQmSpISEBNWvX18RERHONrGxsUpLS9PmzZvzsPcA8M84Ug0AAIBLIisrSwMHDlSrVq109dVXS5KSk5MVGBiosLAwl7YRERFKTk52tsleUJ+df3ZeTtLT05Wenu58npaWllurAQDnxZFqAAAAXBL9+vXTTz/9pPnz51/y94qPj1doaKjzUbly5Uv+ngAgUVQDAADgEujfv78WLVqkr776SpUqVXJOj4yMVEZGhlJSUlza7927V5GRkc42fx8N/Ozzs23+Li4uTqmpqc5HUlJSLq4NAJwbRTUAAAByjZmpf//++uCDD/Tll1+qevXqLvObNm2qYsWKadmyZc5pP//8sxITExUdHS1Jio6O1qZNm7Rv3z5nm6VLlyokJER169bN8X2DgoIUEhLi8gCAvMA11QAAAMg1/fr107x58/Thhx+qdOnSzmugQ0NDVbx4cYWGhqpXr14aNGiQypQpo5CQEA0YMEDR0dFq0aKFJKldu3aqW7eu7rnnHk2cOFHJyckaNmyY+vXrp6CgIF+uHgC4oagGAABArpk+fbokqW3bti7TZ8+erfvuu0+S9Nxzz8nPz09dunRRenq6YmNjNW3aNGdbf39/LVq0SH369FF0dLRKliypHj16aPTo0Xm1GgBwwSiqAQAAkGvM7B/bBAcHa+rUqZo6deo521StWlWLFy/Oza4BwCXBNdUAkIumTp2qatWqKTg4WFFRUVq7du05286cOVPXXnutLrvsMl122WWKiYk5b3sAAADkPxTVAJBLFixYoEGDBmnkyJHasGGDGjZsqNjYWJeBdrJbvny57rrrLn311VdKSEhQ5cqV1a5dO+3atSuPew4AAABvUVQDQC559tln1bt3b/Xs2VN169bVjBkzVKJECc2aNSvH9m+++ab69u2rRo0aqXbt2nrllVeUlZXlMiIuAAAA8jeKagDIBRkZGVq/fr1iYmKc0/z8/BQTE6OEhIQLeo3jx4/r1KlTKlOmzKXqJgAAAHKZV0W1J9cMbt68WV26dFG1atXkcDg0efJkb/sKAPnWgQMHlJmZqYiICJfpERERztvJ/JMhQ4aoQoUKLoX536WnpystLc3lAQAAAN/xuKj29JrB48ePq0aNGho/frwiIyMvusMAUBiNHz9e8+fP1wcffKDg4OBztouPj1doaKjzUbly5TzsJQAAAP7O46La02sGmzdvrqefflp33nmngoKCLrrDAJAflStXTv7+/tq7d6/L9L179/7jDsVJkyZp/Pjx+vzzz9WgQYPzto2Li1NqaqrzkZSUdNF9BwAAgPc8Kqpz45rBC8HpjQAKmsDAQDVt2tRlkLGzg45FR0efc7mJEydqzJgxWrJkiZo1a/aP7xMUFKSQkBCXBwAAAHzHo6I6N64ZvBCc3gigIBo0aJBmzpypuXPnauvWrerTp4+OHTumnj17SpLuvfdexcXFOdtPmDBBw4cP16xZs1StWjUlJycrOTlZR48e9dUqAAAAwEP5cvRvTm8EUBB169ZNkyZN0ogRI9SoUSNt3LhRS5Ysce6ITExM1J49e5ztp0+froyMDP3rX/9S+fLlnY9Jkyb5ahUAAADgoQBPGl/MNYOeCAoK4vprAAVS//791b9//xznLV++3OX5zp07L32HAAAAcEl5dKTa22sGAQAAAAAojDw6Ui2duWawR48eatasma655hpNnjzZ7ZrBihUrKj4+XtKZwc22bNni/P+uXbu0ceNGlSpVSrVq1crFVQEAAAAAIG95XFR369ZN+/fv14gRI5ScnKxGjRq5XTPo5/fXAfDdu3ercePGzueTJk3SpEmT1KZNG7dTIQEAAAAAKEg8Lqolz64ZrFatmszMm7cBAAAAACBfy5ejfwMAAAAAUBBQVAMAAAAA4CWKagAAAAAAvERRDQAAAACAlyiqAQAAAADwklejfwMAAAAACrettev4ugu5qs62rZfkdTlSDQAAAACAlyiqAQAAAADwEkU1AAAAAABeoqgGAAAAAMBLFNUAAAAAAHiJohoAAAAAAC9RVAMAAAAA4CWKagAAAAAAvERRDQAAAACAlyiqAQAAAADwEkU1AAAAAABeoqgGAAAAAMBLFNUAAAAAAHiJohoAAAAAAC9RVAMAACBXff311+rcubMqVKggh8OhhQsXusw3M40YMULly5dX8eLFFRMTo19//dWlzaFDh9S9e3eFhIQoLCxMvXr10tGjR/NwLQDgwlBUAwAAIFcdO3ZMDRs21NSpU3OcP3HiRE2ZMkUzZszQmjVrVLJkScXGxurkyZPONt27d9fmzZu1dOlSLVq0SF9//bUeeOCBvFoFALhgAb7uAAAAAAqXDh06qEOHDjnOMzNNnjxZw4YN06233ipJeu211xQREaGFCxfqzjvv1NatW7VkyRKtW7dOzZo1kyS98MIL6tixoyZNmqQKFSrk2boAwD/hSDUAAADyzO+//67k5GTFxMQ4p4WGhioqKkoJCQmSpISEBIWFhTkLakmKiYmRn5+f1qxZk+PrpqenKy0tzeUBAHmBI9VAEbC1dh1fdyHX1dm21dddAAB4ITk5WZIUERHhMj0iIsI5Lzk5WeHh4S7zAwICVKZMGWebv4uPj9eoUaMuQY8B4Pw4Ug0AAIACLy4uTqmpqc5HUlKSr7sEoIigqAYAAECeiYyMlCTt3bvXZfrevXud8yIjI7Vv3z6X+adPn9ahQ4ecbf4uKChIISEhLg8AyAsU1QAAAMgz1atXV2RkpJYtW+aclpaWpjVr1ig6OlqSFB0drZSUFK1fv97Z5ssvv1RWVpaioqLyvM8AcD5cUw0AAIBcdfToUW3fvt35/Pfff9fGjRtVpkwZValSRQMHDtTYsWN1xRVXqHr16ho+fLgqVKig2267TZJUp04dtW/fXr1799aMGTN06tQp9e/fX3feeScjfwPIdyiqAQAAkKu+++47XX/99c7ngwYNkiT16NFDc+bM0WOPPaZjx47pgQceUEpKilq3bq0lS5YoODjYucybb76p/v3768Ybb5Sfn5+6dOmiKVOm5Pm6AMA/oagGAABArmrbtq3M7JzzHQ6HRo8erdGjR5+zTZkyZTRv3rxL0T0AyFVcUw0AAAAAgJcoqgEAAAAA8BJFNQAAAAAAXqKoBgAAAADASxTVAAAAAAB4iaIaAAAAAAAvUVQDAAAAAOAlimoAAAAAALxEUQ0AAAAAgJcoqgEAAAAA8BJFNQAAAAAAXqKoBgAAAADASxTVAAAAAAB4iaIaAAAAAAAvUVQDAAAAAOAlimoAAAAAALxEUQ0AAAAAgJcoqgEAAAAA8BJFNQAAAAAAXqKoBgAAAADASxTVAAAAAAB4iaIaAAAAAAAvUVQDAAAAAOAlimoAAAAAALxEUQ0AAAAAgJcoqgEAAAAA8BJFNQAAAAAAXqKoBgAAAADASxTVAAAAAAB4iaIaAAAAAAAvUVQDAAAAAOAlimoAAAAAALxEUQ0AAAAAgJcoqgEAAAAA8BJFNQAAAAAAXvKqqJ46daqqVaum4OBgRUVFae3atedt/84776h27doKDg5W/fr1tXjxYq86CwD5HfkIALnL01wFgLzmcVG9YMECDRo0SCNHjtSGDRvUsGFDxcbGat++fTm2X7Vqle666y716tVL33//vW677Tbddttt+umnny668wCQn5CPAJC7PM1VAPAFj4vqZ599Vr1791bPnj1Vt25dzZgxQyVKlNCsWbNybP/888+rffv2Gjx4sOrUqaMxY8aoSZMmevHFFy+68wCQn5CPAJC7PM1VAPCFAE8aZ2RkaP369YqLi3NO8/PzU0xMjBISEnJcJiEhQYMGDXKZFhsbq4ULF57zfdLT05Wenu58npqaKklKS0u74L5mpR+/4LYFhSfr75Ruud8RX/JiG2SeyLwEHfEdbz4HRzML1zaQPNsOZ9uaXbrvA/noW+SjyMf/j4zMf/noLU9zNTfyUSp8GUk+yqt8lApfRpKPnm+DC81Ij4rqAwcOKDMzUxERES7TIyIitG3bthyXSU5OzrF9cnLyOd8nPj5eo0aNcpteuXJlT7pb6IRO9nUP8oHxob7ugc+F9mEbSJJCPd8OR44cUagXy10I8tG3yEeRj/8fGal8l4/e8jRXyceckY8iH/8/8lFe5aP0zxnpUVGdV+Li4lyO3mRlZenQoUMqW7asHA6HD3vmKi0tTZUrV1ZSUpJCQkJ83R2fYTuwDc7Kr9vBzHTkyBFVqFDB1125aAUlH6X8+3nIS2wDtsFZ+XU7kI++kV8/D3mJbXAG2yF/b4MLzUiPiupy5crJ399fe/fudZm+d+9eRUZG5rhMZGSkR+0lKSgoSEFBQS7TwsLCPOlqngoJCcl3HwBfYDuwDc7Kj9vhUh+BIR/PLT9+HvIa24BtcFZ+3A757Qj1WZ7mKvlYMLENzmA75N9tcCEZ6dFAZYGBgWratKmWLVvmnJaVlaVly5YpOjo6x2Wio6Nd2kvS0qVLz9keAAoi8hEAcpc3uQoAvuDx6d+DBg1Sjx491KxZM11zzTWaPHmyjh07pp49e0qS7r33XlWsWFHx8fGSpIcfflht2rTRM888o06dOmn+/Pn67rvv9PLLL+fumgCAj5GPAJC7/ilXASA/8Lio7tatm/bv368RI0YoOTlZjRo10pIlS5yDSCQmJsrP768D4C1bttS8efM0bNgwPf7447riiiu0cOFCXX311bm3Fj4SFBSkkSNHup1qVNSwHdgGZxX17UA+uirqnweJbSCxDc5iO3jnn3K1oOLzwDY4i+1QOLaBw/LjPRQAAAAAACgAPLqmGgAAAAAA/IWiGgAAAAAAL1FUAwAAAADgJYpqAAAAAAC8RFENAAAAAICXKKoBAAAAAPASRXU+k5WV5TaNu56dG9vGXU6focLo7+vJZ6HwIx89x/ZxVxQyknwseshHz7F93JGP3qOozkeysrLk53fmRzJnzhy9+uqrkiSHw+HLbuVbWVlZzm2zd+9eH/cmf8j+GdqyZYtOnTrl4x5dGtnX891339XWrVv5nhRy5KPnyEh3RSEjyceih3z0HPnojny8OBTV+YSZOX/IgwcP1siRI3XkyBHt2rXLpQ3OyP6lGDNmjP7zn/9o27ZtPu6Vb2XfJiNGjFD37t317bff6vTp0z7uWe7K/l2Ji4vTY489pg8++EDHjx/nO1JIkY+eIyPdFYWMJB+LHvLRc+SjO/IxF74jhnxl8uTJdvnll9vatWt93ZUC4bHHHrPy5cvb66+/bjt37vR1d/KFuLg4i4yMtI8++siSk5Pd5mdlZfmgV7lvzJgxVrZsWVu7dq2dOHHC191BHiAfPUdGuisKGUk+Fj3ko+fIR3fko/coqn0sMzPT5XnXrl3tySefNDOzn3/+2ebNm2fXX3+9dezY0bZs2WJmheMD7a3s67506VKrVKmSrVq1yszObMtDhw7ZunXr7MCBA77qYp7Lvk1+/PFHq1Wrli1dutTMzI4cOWI7d+60efPm2fr1633VxVyR/buSmppqbdq0sQULFpiZWWJioi1btsy6d+9uL7zwgu3Zs8dX3UQuIh89R0a6KwoZST4WPeSj58hHd+Rj7uVjwMUf64a3LNtpCM8//7xiYmIUERGhBQsWKCIiQm+99ZaKFy+uevXqafXq1brvvvu0Zs2aInuNTPZTUyTp5MmTKl26tKKjo7VhwwYtXLhQ8+fP159//qnbb79dkyZNUvny5X3Y40vPzJyfh0OHDunUqVM6ceKEqlatqlWrVuntt9/W0qVLtXv3btWtW1dPPfWU2rRp4+Neey77d+XDDz/UzTffrH379unLL79UhQoVNHnyZCUlJSksLEz/+9//dOzYMQ0ZMsTHvcbFIB89R0a6KwoZST4WPeSj58hHd+RjLuej1+U4Lkr2vSbTp0+38PBwW716tXNvSXh4uI0bN86+++47MzN78803rX379nbs2DFfddmnsu9J69Gjh/Xt29d+++038/f3tzZt2lh4eLj997//tddff90+//xz8/f3txUrVviwx5de9m3Su3dvi4mJsSNHjlitWrWsVq1aVrx4cevbt68tXLjQkpKSrGLFijZ79mzfddhL2ddz3LhxVrx4cduyZYvNnTvXqlWrZiVLlrTHHnvMvvjiCzMz69+/v3Xv3r3I75EvyMhHz5GR7opCRpKPRQ/56Dny0R35mPv5yJFqHzm712TNmjX6/vvvNXnyZEVFRUmSbrjhBh04cEDlypVztp8zZ44uv/xylShRwif99SXLtiftxx9/1IYNG/TMM8+oevXqWrVqld544w31799fbdu2Vbly5XT8+HE1a9as0N8W4Ow2SU5O1m+//abHH39cpUqV0g8//KB58+apZs2aatWqlQIDAyVJ1apVK5B7qc/2ee3atUpMTNSiRYtUp04dXXHFFerUqZMOHz6sWrVqSTrzWdm8ebNatGhRINcVZ5CPniEjc1YUMpJ8LHrIR8+QjzkjHy9BPl7kTgBchE8//dSuvPJKi4yMtMWLF5uZ6x7Io0eP2qeffmoxMTHWoEEDy8jIMLOie03MK6+8Yl27drWHHnrIzNyvJ0pPT7eUlBTr2LGjRUVF2enTp33RzTw1efJki46Otttvv92OHDnits7Hjx+33bt3W4cOHaxx48YFdpu8//771rBhQ7vyyittx44dZmZ26tQp5/yjR4/a119/bR07drQGDRq4zEPBRD56jox0VxQyknwseshHz5GP7sjH3M1HbqmVh+xvw7W3a9dOHTp00PHjx/X2228rLS1Nfn5+zr1jP/zwg5YsWaKyZctq/fr1KlasmE6fPl3g9hTlhgMHDmjlypVatmyZ8zYRfn5+yszMlCRlZGTo9ddfV8eOHXXgwAF988038vf3L9R7GtPT0+Xn56c///xT27ZtU6lSpeTv7++8/UFWVpbmzZun2267TUeOHNGaNWvk7+/v3GYFyWWXXabKlSvrjz/+0DfffCNJCggIkJ0ZbFHffvutpk6dqszMTH333XcKCAgokOtZlJGPF4eMdFdUMpJ8LPzIx4tDProjHy9BPnpdjsMjf98jdnYI96ysLBs0aJDVr1/fnnrqKUtLS3Np98cffzj3LBalvct/315mZps2bbI+ffpYYGCgvfTSS87pWVlZduzYMfvyyy/tqaeecm6nwra9ctomBw8etJkzZ1pwcLA9+OCDzuln9yYmJibarFmznM8LwjbJaT3NzNavX28333yzNW/e3D744AOXeYcOHbLvv//euWxBWE/8hXz0HBnprihkJPlY9JCPniMf3ZGPlz4fKarzQPYf8osvvmj33HOP3XTTTTZ+/HgzO/OFHjBggDVr1szi4+PtyJEjbq9RlE7Zyb69duzYYRs3brTjx4+bmdmuXbvswQcftCuvvPK8AyYUxFNUzif7NlmzZo198skn9uOPPzo/Ky+99JKVKVPGBgwY4Gz3921QELZJ9vV8/fXXLT4+3h566CHn7UC+//57u+OOO6xNmza2cOHCf3wN5H/ko+fISHdFISPJx6KHfPQc+eiOfMybfKSozkNDhgyxChUq2OOPP24vvfSSORwO57UdZ4MxKirK4uLiiuwojdnDf9iwYVavXj2rVKmS1a1b18aMGWOpqan266+/Wr9+/ax27do2Z84cH/Y2b2TfJkOHDrUaNWpYnTp1rE6dOnb77bfbjz/+aCdOnLCXX37ZLr/8cnv44Yd919lc8uijj1rFihWte/fu1r59eytZsqRNnz7dzMxWrVplXbp0seuvv97eeustH/cUuYV8vDBkpLuilpHkY9FDPl4Y8tEd+Zh3+UhRnUcSEhKsZs2atnLlSjMzW7lypQUEBNisWbOcbbKysuzuu++2Xr16Fbk9i383fvx4i4iIsCVLlpiZ2c0332wVKlRw3nx+69at1r9/fwsLC7NPPvnEl129pLJ/Dl588UWLjIy0r7/+2szM/u///s9Kly5tS5cuNTOztLQ0mzlzpjkcDnvuued80d1c8d5771nFihXthx9+MLMz3x2Hw2Hvvvuus83q1autbdu21q9fP191E7mIfPQcGXlGUctI8rHoIR89Rz6eQT7mbT5SVF8CcXFx9scff7hM+/TTT61ly5ZmZvbuu+9aqVKlbMaMGWZmdvjwYfvqq6/M7MwX4OzpB0UlGPfs2eP8/+nTp+3o0aN200032SuvvGJmZ7ZdSEiIc3udHcXyp59+smeeeSbfn5LijbPBb/bXKTd33323jRo1yszMFi5c6LJNjh8/bkeOHLGjR4/ahx9+WGC2yTvvvGOHDh1ymTZjxgy76667zOzM/TVLly5t06ZNMzOz1NRU2717t5mZ/fjjj5zKWACRj54jI90VhYwkH4se8tFz5KM78tE3+UhRncv2799vISEh1qpVK/vzzz+d01etWmX169e3559/3kJCQpynIpiZLVmyxG688Ub79ddfndOKyi/D+++/3+677z6XdU9NTbWmTZtaYmKiLVu2zEqVKuXcXidOnLBp06bZpk2bXF6nIATAhRo+fLhFRUU5b5Nhdubz0KVLF/v0009t+fLlLr9UMzIybMaMGW6DL+T3ASUWL15sDofDxowZY4cPH3ZOf+KJJ6x9+/a2YsUKCwkJcQaimdn06dNt4MCBzoFazIrOd6UwIB89R0a6KwoZST4WPeSj58hHd+Sj7/KRojoXnR0I4Y8//rDatWtbdHS0Mxj37NljnTt3tuDgYHviiSecy5w4ccI6d+5sd955Z5EKwrOmTp1qlSpVsoEDB7qE4g033GDNmjWz0qVLu5zi9Oeff9p1111nr7/+ui+6mye+/vpru/766+3mm292OS2pT58+FhoaaiVLlnRZ/wMHDtj1119vkyZN8kV3L8r06dPNz8/PRo8e7dzjuGXLFqtXr545HA5n6Jud+X7dfPPN9tBDDxWpvfCFBfnoHTLSXVHJSPKx6CAfvUM+uiMffZePFNW5pHXr1rZgwQLn8507d9oVV1xh0dHRtmvXLjM7c9pOo0aNrEOHDjZ37lybO3eutWvXzurXr+/cI1RUgvGjjz5y/v/111+3ihUr2sMPP2xbt241M7Nly5ZZnTp1nKc8mZ253qNDhw7Wpk2bQrVX8axJkyY5R2Jct26dtWnTxjp16uTcVqmpqRYbG2vly5e3tLQ0S0tLs+TkZGvfvr21aNGiwGyTfv36Oa8NMzvzS9HhcNjo0aMtNTXVTpw4YaNHj7Y6derYI488Yrt27bLly5dbhw4drGHDhs7vCn84Fhzko+fISHdFISPJx6KHfPQc+eiOfPR9PlJU55IXX3zRTp48aWZm6enpZvZXMEZFRVlycrKZmS1YsMDuueceCwkJsbZt29p//vMf5/UdBeEDnRvi4uLsvvvuczm1ZNasWc5Q3Llzp2VkZNjzzz9vFStWtAYNGljHjh2tZcuW1rBhw0K5vebMmWN33323yzZJSEiwNm3aWMeOHZ17G1euXGkNGza0MmXKWN26da158+bWvHnzArNN9u/fb3fddZezv2e9+OKL5nA4bNSoUXbq1Ck7cOCAjR071q644gorUaKENWrUyNq3b19g1hOuyEfPkJHuikJGko9FE/noGfLRHfmYP/KRovoi/X1vx9ixY132Fp0NxmuuucYZjGZnTufJ/uHPz9cu5Lb9+/c71zf7YAqzZ8+2ChUq2IABA2zXrl2WmZlpP/zwg/Xr18+GDBliU6ZMcS5X2LbXqVOnnF/0xYsXO68RORuKHTp0sM8//9zMzuyNfvnll+3ll1+2999/37lcft8mf9+L/tprr9mHH37o/A6dDcYnn3zSTp8+bVlZWXby5En79ttvLTEx0bl8fl9P/IV89A4Z6a6wZyT5WPSQj94hH92Rj/kjHymqc9kjjzxiDofDpk+f7haMLVq0cBl84qyidJpW9nV955137Oqrr7aXXnrJOS17KO7YsSPH18jPe9K8kX2brFy50q666ip76KGHLDU11cxcQ3HRokU5vkZB2iZZWVl25MgRq1mzprVu3dqWLFniFoyjR4+2gwcPui1blE5vK4zIx39GRrorShlJPhZd5OM/Ix/dkY/5Jx8pqi/CucJs2LBh5u/vb1OnTnUG49nBJ2rVqmX79+/Py27mW3/++afdcsst1rZtW5s5c6Zz+uzZs61SpUr2yCOP2ObNm33Yw7yXnp5uo0aNslatWlm/fv0sJSXFzM6EYtu2ba1z584u99srKHL6riQlJVlUVJS1bdvWPv30U5dg9Pf3t8GDBzu/Pyh4yMeLR0a6K4wZST4WPeTjxSMf3ZGPvs1HimovZd/jsXPnTtu6davL/dKGDh3qFow7duywbt26FZg9QrnpXHuI/vzzT7v99tutdevWLqE4Z84c8/f3t8mTJ+dVF/Pc37fJ2efp6ek2duxYi4qKcgnF1atXW7169ezRRx/N875ejOzreejQITtx4oTzO5GYmGhNmzZ1C8bx48dby5Yti9xe+MKCfPQcGemuKGQk+Vj0kI+eIx/dkY/5Lx8pqr2Q/Qf1+OOPW8OGDa148eJ23XXX2cMPP+ycN3ToUAsICLDp06c7T8M4qygFY/YvxXvvvWeTJk2yadOm2Q8//GBmZrt377Y77rjDrr32WnvllVecbT/55JNCu52yb5NXXnnF+vXrZw8++KC9+eabZnbmuo+nnnrKGYpnPz8//fRTgdom2b8r48aNsxtuuMHq1Klj3bp1sy+//NLM/grG66+/3uVUnr//i4KBfPQcGemuKGQk+Vj0kI+eIx/dkY/5Mx8pqi9CfHy8lSlTxj766CNbsmSJjRgxwmrXrm133XWXs83w4cPN4XDY+++/78Oe5g//93//Z+XLl7fmzZtbgwYNLCAgwObOnWtmZrt27bI77rjD2rZt67ZnsaAEgDcGDx5s4eHh9u9//9s6d+5sDofDHnzwQTt58qRlZGTY2LFjrVWrVta9e3c7evSoc7mCtk2GDRtmZcuWtZkzZ9rw4cPt3//+twUHBzuv70lMTLRrrrnGrr76alu9erWZnQlD/mAsuMhHz5GR7opCRpKPRQ/56Dny0R35mL/ykaLaS6mpqda+fXubMmWKc9qRI0fsjTfesNq1a9vzzz/vnD5z5sx8PapeXnj//fetXLlytnbtWsvIyLD9+/fb8OHDLSAgwHl9x65du6xt27bWt2/fIvHHwjfffGORkZG2atUq57QlS5ZYcHCw/d///Z+ZnTmNZ8iQIfbAAw8U2EFodu3aZU2aNLF33nnHOW3Pnj02YMAACwsLs++++87MzgRjr169ClTYI2fko+fISHdFISPJx6KHfPQc+eiOfMx/+UhR7aX09HSrX7++DRw40GX68ePH7dZbb7X77rvPbZmiHIwvvPCCtWnTxsxcT8cYOHCgVa5c2ZKSkszM7ODBg84vfmEPxUWLFlmtWrXs8OHDlpWV5QyDt99+24KDg+3bb781M3PeHsCsYI7uumPHDgsODraFCxe6TP/tt9+sVatWNnnyZLf18nUw4uKQj54jI90VhYwkH4se8tFz5KM78jH/5aOf8I+ysrLcppmZWrVqpe3bt+vXX391Ti9evLjq1KmjPXv26NSpUy7LBAQEXPK+5lfFihXTxo0bdejQITkcDuc27dy5szIzM5WWliZJKlOmjPz8/JSVlSWHw+HLLl9yYWFh+u2337R161aXdY2KilJ4eLgOHTokSfL395fD4ZCZyc8vf39lzczt/5UqVdK1116rL774QocPH3bOr169uvz8/LR9+3a39fL398+bDuOikY+5g4x0V9gyknwsesjH3EE+uiMf818+5t+tm09kZWU5f2Dbtm3T9u3blZqaqqCgIPXq1UurV6/WhAkT9OOPP0qSjh07poSEBNWoUUPFihXzZdd9IqdfIJLUpk0b1apVS2PGjNGePXuc2zQiIkKlS5fWyZMnXdrn5y++p7Jvk+z/v+aaa3TLLbfoiSee0Pr1651BULJkSZUoUcIlYCTl+18Q2X+JpaWlOQMwMDBQN954o7766iu9+eabOnr0qCTp+PHjysrKUsWKFX3WZ1wc8tFzZKS7opCR5GPRQz56jnx0Rz4WnHx02N+3OnIUFxen119/XZKUmZmpJ598Ug8++KASEhJ05513Kjw8XFlZWQoMDNTRo0e1YcMGFStWTGaWrz/IuSn7L5B58+Zp9+7dCgwM1M0336waNWpoypQpmjdvnq644gr973//k7+/v4YNG6YjR45oxYoVhSoEz8r+83/xxRf1008/KSMjQ7feeqtiY2O1ceNGjRo1Srt379bAgQNVunRpvfrqq9q3b5/Wrl1bII9IPPnkk/r444+1f/9+tWrVSg8//LBatGihwYMHa/Hixbr88svVoEEDbdiwQSkpKdq4cWOR3wtf0JGPF4aMdFfUMpJ8LHrIxwtDProjHwtYPubhqeYFSvZz9D/99FO7/PLLbdGiRfbNN9/YE088YSEhITZ8+HAzM9uyZYvNnTvXHn30UZs8ebLz2peidA1M9mtXhgwZYiVLlrS2bdtaaGioNWnSxKZOnWpmZwbduP76683hcFiDBg2sVatWlpGRYWYF71qPf5J9fUaOHGmlSpWy3r17W+PGja1+/fp2zz332LFjx+z777+3hx56yEqVKmXNmjWzjh07OrdJQbh2Lvt6Pvfcc1a2bFmbPHmyzZw50xo2bGgtWrSwDz74wMzM5s2bZ/369bNbbrnFHn74Yed3pCCsJ/5CPnqOjHRXFDKSfCx6yEfPkY/uyMeCl48U1f/glVdesYkTJ9rEiRNdpj///PMWFBRkH330UY7L5acfcl767bffLCoqyjms/ZEjR+yhhx6y6Ohomz17tpmd2Tbr16+3n3/+2fmFKsy/QH777Tfr1KmTrVixwjntpZdestatW9uDDz7oDL/k5GRLSUlx/nIpaNvk22+/tSlTptiCBQuc0w4cOGC33XabXXPNNfbHH384p2f/fhS09cRfyEfPkZHuikJGko9FD/noOfLRHflYcPKRovo8EhMTrUGDBuZwOJzD0588edI5/84777Q2bdpYZmZmkQ7Bs+Lj4+2GG26wDh06OG80b2a2f/9+69atm1133XU5LlfY9i5m9/zzz1ulSpWscePG9uuvvzqnp6en29NPP2316tWznTt3mpnrntqCtk02bNhgDofDHA6Hvfzyy2b2V9ilpKRYRESEjR492pddRC4jHz1HRrorChlJPhY95KPnyEd35GPBysfCdwHCRcg+AMDp06dVqVIlTZkyRW3bttWCBQt08OBBBQUF6fTp05KkKlWqqHjx4vLz8ytw1y3kBvvb5fhXXHGF1qxZo7Vr1yo5OVnSmW1arlw5PfHEE/rmm2+0evVqt9cpTNfB/H2QjbvuukslSpTQxo0b9eOPPzq3WWBgoHr37q0dO3bo66+/luQ6iER+3ybZ19PM1LBhQ73yyisKCwvT2rVrJZ0ZgTEzM1OhoaFq2bKl9uzZ46vuIheQj54jI90VhYwkH4se8tFz5KM78rFg52P+3ep5LPsACVOmTNGMGTN08OBBXXfddRo9erTCw8MVHR2tXbt2KT09XadOndLq1asVFhbm2477SPaR+rZu3aq0tDR16dJFH3zwgU6cOKEJEyYoNTXVuU3NTDVr1lRwcLAvu31JZf8MrVy5Utu3b9fll1+uNWvWqEaNGho3bpzWr1/vbH/ixAlVrVpVoaGhvuqyV7Kv5/z58/XZZ58pIyND99xzjyZOnKg5c+boiSeecN6+4fTp09q+fbtKly7t457DW+Sj58hId0UhI8nHood89Bz56I58LAT56IOj4/na4MGDLSIiwl5++WVLTk42szOnVKxcudIaNmxoYWFh1rRpU/vvf/9r9erVc17LUNhvMp9d9tNKhg8fbrGxsfbhhx9aenq6mZ25IX1QUJB169bN3nvvPUtISLBOnTpZ48aNC+1pTtm3SVxcnDVt2tReffVVS0lJMbMz14ZUqVLFrrrqKhs9erTNnz/fOnfubHXr1i1Q2yT75/yxxx6z8uXL25w5c2zfvn1mduaUpBkzZlhAQIC1bdvWevbsabfddpvVqVPH+V1BwUU+Xhgy0l1RyEjysWgjHy8M+eiOfCwc+UhRnc1LL71k4eHh9uOPPzqnnThxwo4dO2ZmZuvWrbOYmBi77LLLLCEhwdkmv10on1fi4uKco1oeOHDAZd6HH35opUqVMofDYX369LG77rorX47Ul9uGDx9u5cqVs6+++sqOHDliZn8Fyf79++2KK64wh8Nh9913nz366KPOeQVtm0yaNMkiIyNt7dq1LkF59mf80ksvWVhYmDVp0sS+++67IjuiaWFCPnqOjHRXFDKSfCx6yEfPkY/uyMeCnY8U1dk8/vjj1rNnTzMz+/XXX23mzJl29dVXW2xsrE2ZMsXMzFasWGGtWrWyBg0aWFpampkVrA9zbvn222+tRo0atmbNGjMzO3bsmO3YscPefvtt52AKn376qZUqVcoGDhxoJ06cMLPCva1+/vlnq1+/vn3xxRdmZrZv3z5bv369jR492j788EMzMzt48KDVrFnTYmJiXH75FiQZGRl2++2328iRI83M7Pfff7ePPvrIOnfubL1797ZNmzaZ2ZmRT/39/e3JJ580s8L9sy8KyEfPkJHuikJGko9FE/noGfLRHflY8PMxH90x2/eOHDmiL7/8UiNHjtTixYtVqVIl3XTTTUpJSdEbb7yhu+++W61bt9b48eP1+OOPq27dutq0aVORvC4mKChIQUFBMjNt2rRJs2bN0kcffSQzU0pKilauXKn27dtr3rx5+ve//62srCyNHz9exYsX93XXL5nQ0FCdOnVKv/zyi0JDQzVt2jStW7dOAQEBGjlypObPn6+uXbtqzZo1atKkifr166fnn39ejRs39nXXPZKZmanTp09rx44devHFF/Xpp58qMzNTAQEB2rFjhx5//HG9++676t69uzIzMzVw4EAdO3ZMEydO9HXXcRHIR8+Qke6KQkaSj0UT+egZ8tEd+VgI8tGXFX1+kf1ahu7du1vr1q1t8uTJzj0mixcvtubNm7tcI/Pll19au3btbMeOHT7ps69t2rTJWrRoYVFRUVayZEl74IEH7K233rKtW7da3bp17bXXXnO2/eSTT8zhcNjgwYN92ONL78CBA3b//ffb1VdfbcWKFbMBAwbYxx9/bKdOnbJ27drZE0884fysHTx40EqVKmWxsbHO64gKknnz5lnr1q0tPDzcRo8e7byn5MiRI61Lly7OdhkZGfb8889buXLlbP/+/b7qLi4C+egdMtJdUclI8rHoIB+9Qz66Ix8Lfj4WqaL6k08+yXH62XP6Dx48aGbmPM3E7MyF8x07drTbbrvN5dz/rKwsO378+CXsbf6UlZXl3A4bN2601157zT777DPnNjt27Jg1adLE3n77bZfllixZYlu3bs3z/uaFrKwsZ9AdOnTIvvvuO1u7dq3L/BYtWtjkyZPN7K/rQg4ePGi//PJL3nf4Apy97+HfZT8F59SpU7Z7926X+e3bt7devXq5fFcyMjLs8OHDl6SfyD3kY+4gI90VtowkH4se8jF3kI/uyMczCkM+Fpmi+oMPPjCHw2EvvPCCc1pmZqbzg/zee+9ZkyZNbMuWLWZmduTIEXvxxRetY8eOVr9+fefIcwXphuqXwtkP+5IlS2zDhg3O6SdPnrRdu3ZZx44d7Zprrikw1z9crOy/IBYsWGDz5s1zzjt+/Lht2bLFOnToYI0aNXIZZCE/b58HH3zQOnfu7DIt+3q+99571q5dO+cfESkpKbZ06VLr2LGjXX311c71LOrflYKEfMw9ZKSrwpaR5GPRQz7mHvLRFflYuPKxyBTVJ06csIkTJ5q/v79z0Iiz5s2bZyEhITZjxgzntJMnT9rAgQPtnnvuKVAjz+WWv9/iIfuetPfff9+CgoKcX/6MjAybNGmSxcbGWosWLZy/QPLrl95bOd32IntQBAQEOH/pZmZm2syZM+2WW26xtm3bFqhtkpaW5uzv30fkfO+996xkyZI2c+ZM57TvvvvO2rdvb126dHEuV5S+K4UB+eg5MtJdUchI8rHoIR89Rz66Ix8Lfz4W+qL6sccec56KcPLkSZswYYI5HA5nMJ4+fdpatWplzz33nNuyp0+fLpDD1V+s7HuI0tLSLD093XnNxpIlS6x06dIuv0DMzBISEmz69OnO7VSQvxQ5yb5NEhMTLTk52fbs2WNmZqtXr7bLL7/cbZvs3LnTFi1aVKC2SfbP+dy5c+2yyy6zzZs3m5lZUlKSRUZGuq2nmdn27dud26ggrCfOIB+9Q0a6KwoZST4WLeSjd8hHd+Rj0cjHQl1UHzhwwMqUKWNRUVGWlJRkZq7B+PfrE7L7+/UvRUX2L/6ECRPslltusSZNmthDDz1kmzZtsjVr1tj8+fPP+xqF7RdI9p//k08+adHR0VarVi1r2bKlzZ8/3/bs2WNLly495zJmBe9UlkOHDtnBgwctKirK6tSp47yW6eytLs4q6OtZlJGP3iEj3RW1jCQfCz/y0TvkozvysejkY6Euqs3O7B2pW7euNW/e/LzBCFdxcXFWtmxZe+2112zWrFnWuHFjq1WrVpEdXMPszMiEZcuWtU8//dQ2bNhgt9xyizkcDtu1a5evu3bRli5das8++6yZmfXt29f++9//mpnZ4cOHrVWrVlajRo1CO0hIUUY+eo+MdFdYM5J8LJrIR++Rj+7Ix8Kv0BfVZmeCsXbt2i7BeOLECWcwZh98Ambbtm2zxo0b29dff21mZ24JUbp0aXvppZfM7K+9S0VpD+yBAwfshhtucI4A+vHHH1tYWJhNnz7dzAr2KSuHDx+2nj17WvPmze2mm26y0qVL208//eQyv1WrVnbFFVc4B2JB4UE+eo6MdFdYM5J8LNrIR8+Rj+7Ix6KRj4WyqM7pFIKkpCS76qqrrFmzZi7BOHHiRAsICLD4+Pi87ma+tX79eqtYsaKdPHnSPvzwQytVqpTzi3/s2DGbNWuW2wAEhc3fwz4pKcnKli1r27Zts08//dRlm5z9Bbtt2zZfdNVrI0eOtD/++MPMzPbu3WuNGzc2h8NhQ4YMcbY5exrW4cOHrXXr1la7dm378ccffdJf5A7y8eKRkYU/I8nHool8vHjkI/loVjTzsdAV1dkDcenSpfbBBx/Yhx9+aGZnPtT16tVzCcaTJ0/a8OHDrVWrVkVqr9lZOf0C+fXXX+3GG2+0Z5991m1Uy7Vr19pdd91l3333XV520+eOHj1qXbt2tb59+7rscTUz++WXX6xz58728ccf+7CHnklISLB69erZjTfeaH/88YedOnXK7r77buvSpYvbwCtnR2Q8fPiw1a5d27p27eqjXuNikY+eIyMvTGHKSPKxaCIfPUc+XhjysWjkY6EqqrOH2tChQ61ixYrWuHFjCw4Oth49elhSUpIlJiZavXr1XE7lycjIKJKno2QPw+nTp7sMHtG+fXtzOBw2atQo57Tjx49bhw4drHPnzoViQIGcZF+vF154wR588EHn86FDh5rD4bDevXs798ClpqZax44d7cYbbyxwg2u89957dsMNN9iNN95o+/fvNzOzP//803r37m0tWrRwu17s4MGDlpaWVuDWE2eQj54jI90VlYwkH4sW8tFz5KM78rFo52OhKqrPmjBhgpUvX97WrFljZmc+2A6Hw+644w5LSkqypKQka9CggVWpUsX27dvnXK6oBeJZjz32mFWsWNHGjRtnycnJZnZmD2zz5s3tyiuvtBEjRlh8fLxdf/31Vq9ePeeep8IWitnX55tvvrG+ffuaw+GwESNGOKf36NHDIiIi7LbbbrP77rvPrr32WmvQoEGB2ibZQ+2dd96x6667zm644QbnqTzbt2+3Bx54wFq1amUTJ060U6dO2Y033mgDBw7M8TVQsJCPniMjzygKGUk+Fm3ko+fIxzPIR/Kx0BXVu3btsh49ejj3mL333nt22WWX2fDhwy00NNTuuOMO+/333+3333+3u+++u1D/cC/E888/b+XKlbONGzc6p539ch87dsweeughu+6666xdu3Y2YMAA52AKBXVQhQsxePBga9q0qfXs2dPq1atnQUFB9vDDDzvnT5kyxfr162d33323xcfHF/ht8vbbb1vbtm3t+uuvdwbjjh077H//+59Vr17dqlatavXr13feZxIFF/noOTLSXVHKSPKx6CAfPUc+uiMfi24+Frqi+sSJE/b+++/b4cOHbd26dVatWjV7/vnnzczsmWeeMYfDYddff73t3bvXuUxRDcaMjAy7//77bfTo0WZ25rqON99801q0aGF33nmnrVq1yszO7HHM/mUviF/8C/Xxxx9baGiorVy50szM9uzZYxMmTLDLLrvMHnnkkXMuV9A+Q+PGjbOxY8c6n+cUjHv27LFVq1bZm2++6Vy/wvyzLwrIR8+Qke6KQkaSj0UT+egZ8tEd+Vi08zFAhUxwcLBuvvlmFStWTF988YXq1aunHj16SJICAwPVvXt3HThwQOXKlXMu4+/v76vu+lSxYsWUkpKiL7/8UjVr1tSMGTNUvHhxNWnSRCtXrtTo0aO1aNEiBQUFOZcxMwUEFLqPjVNiYqIqVKigFi1aSJIiIyPVs2dPpaSkaPz48QoNDdXIkSMlSVlZWfLz85NUsD5DGRkZOnnypMaOHauSJUtq4MCB+ve//y1JmjZtmnr27Kk5c+aocuXKioyMVHR0tCQpMzOzUP/siwLy0TNkpLvCnpHkY9FFPnqGfHRHPhbxfPRxUX9JnL22pWfPnta6dWtLTU21EydO2M033+wykEJ+v3YhN51rXRMTE+3666+3atWq2dixY23dunVmZjZ//ny77rrrLDU1NS+76TNnPzNffPGFVaxY0b755huX+WvWrLHSpUtbiRIl7PHHH/dFF7129mef/ZqvlJQU5302n3nmGef0d955x2688UarX7++y/ViKDzIx5yRkedXWDOSfER25GPOyMfzIx/JR7NCeKRakhwOhyTpgQce0HXXXadWrVopPT1dwcHB6tKli7Pd2T1EhV32vWEff/yxtm/frvLly6tx48a66qqr9OWXX2rfvn0KDw93tp81a5YqV66skJAQX3b9ksm+TaS/PjMVK1ZUlSpVNHfuXIWEhKhBgwaSpNDQUHXu3FlNmjTR7Nmz1alTJ7Vs2dInfffU2fXctm2b6tSpI+nM+jz44IPKysrSo48+Kj8/Pw0cOFD/+te/dPz4ca1bt05ly5b1ZbdxiZCP7shId0UlI8lHZEc+uiMf3ZGP5GOOfF3VX2rr16+3J554wiZMmFCgBwPwVva9S4899piVL1/e2rRpY3Xr1rWOHTvaBx984Jyfmppqb7/9trVv397q16/vHGyisI1qmX2P6+LFi+3111+3N954w7meb7/9ttWuXdu6detmr776qq1du9batWtn3bt3t82bN1toaKi99tprvuq+V5YuXWoOh8PmzZvnMv3w4cMWFxdnDofDXnnlFbflCtJ1PvBcUc9HMzIyJ0UtI8lH5IR8JB9zQj6eQT66K/RF9d8VtUA867nnnrPKlStbQkKCmZ0ZdCMoKMhatmxp7733npmZ/fzzzzZgwADr2rVrof0Fkj3chwwZYjVq1LB69epZkyZNLCoqyo4cOWJmZgsXLrRu3bpZSEiIXXnllXbNNddYenq6ZWVlWdOmTZ3bLL/6+6lau3fvtr59+9pll13mFowrV660wMBAczgc9uabb+ZlN5HPFLbvuyfIyDOKQkaSj/BGYfuue4J8PIN8JB/Pp8gV1UVF9i/F0aNH7YEHHrAXXnjBzM582UNDQ23w4MF27bXXWqNGjWzx4sVmduYG7WdDozDvZXrmmWcsMjLS1q5da2ZmL774ojkcDmvQoIEdOHDAzMyOHDliSUlJtn37duc2GTx4sFWtWtWSkpJ81vd/kv1n/+mnn9rbb79tO3bssL1799r//d//WUhIiEv4bdu2zR544AF79913C90vQOBcyMjzK6wZST4C/4x8PD/y8Qzy0RVFdSH37rvv2o4dO2zbtm22a9cu++mnn6x69er23HPPmZnZ3LlzrWTJknbVVVfZ0qVLncsVttN1svvzzz/tnnvuce4pXLRokYWEhNjIkSOtXr161rhxYzt48KDLMitWrLCuXbtaRESEbdiwwRfd9tjQoUOtZMmSVqtWLStWrJi99NJL9uOPP9rgwYOtePHiNnHiRFu+fLndfPPNdueddzp/5gQjihIy0l1RyEjyEfhn5KM78pF8PBeK6kIm+16m0aNH2+WXX27btm1zXtsybdo0u/baa52nqLz11lvWoUMHGz9+fKEdzTKn9frggw9s165d9t1331nVqlVt+vTpZmb29NNPm8PhsAoVKriMWnn06FEbOXKkbdu2Lc/67amzoZaVlWW///67tW7d2latWmUHDx60iRMnmp+fn02aNMm2bNlikyZNsqCgILvqqqssKiqq0F77BPwdGemuKGQk+Qj8M/LRHflIPl6oQjn6d1F2dqS+nTt3Ki0tTbNnz9ZVV10lM5N05h6B+/fv14YNG9SyZUu99dZbatWqlR577DE5HA5lZmYWmPvlXYjsIzQuXrxYYWFhatmypW677TZJ0rvvvqsGDRqoe/fukqSIiAjdd999KlGihEqWLOl8jZIlS+rJJ5/0xSpckOzrefjwYZ06dUqtW7fWNddcI39/fw0ePFjFihXToEGDlJmZqUcffVTdu3dXWlqaatWqJT8/P50+fbpo3EcQRRoZ6aooZCT5CFwY8tEV+Ug+esSXFT0ujY8//tgcDoeFh4e7nI5jZpaQkGDXXXedValSxTnAwtnTNQrbXqa/j1pZu3Ztmz59uss1Pw8//LBVqlTJzMyOHTtmt956q40aNcq5XEG7Jujxxx+35s2bW2hoqDVo0MBtr+jkyZPN39/fhgwZYidOnHBOL6x7mIGckJFnFLWMJB+Bf0Y+nkE+ko+eoqguhDIzM23gwIHmcDhs6tSpbkG3Zs0ae+utt2zq1KmFdoTG7MaOHWuXX365ffPNN24Bt23bNqtSpYqFh4dbvXr1rG7dugVqW2QPs7feesvKly9vU6ZMsYEDB1qJEiXs0UcftZ07d7osM27cOGvZsmWh+wUIXCgy0lVhzUjyEfAc+eiKfPwL+Xh+FNUF3NlrGczc9xbdf//9VrJkSfv000/P+xoFaU+aJ7KysmzPnj0WHR1t8+fPNzOzpKQk+/LLL+3BBx+0CRMmmJnZ9u3bbezYsTZ58mRnGBa0bbJ8+XLr27evzZ071zlt6tSpVqlSJRsyZIhbMGa/fgYozMjIcysqGUk+AjkjH8+NfCQfPcUJ8AXUb7/9pho1aqhYsWKSpFmzZumnn35SlSpVdPvtt6tq1aqaOXOmTp8+ra5du+qdd95RbGxsjq9VWK9/cTgcKleunPz8/LRixQqFhYXplVdeUVJSkkJCQjRr1iylpqZq3LhxeuKJJ5yvUdCuCUpOTlavXr20d+9eXXnllc7pffv2lZlp/Pjx8vf3V69evVSjRg1JZ7aNmcnhcPiq28AlRUbmrKhlJPkIuCMfc0Y+nkE+esmXFT2889BDD1m7du1s/fr1ZmY2atQoK1mypN16660WGBhonTp1siVLljjb33fffRYWFmYLFy70VZfzRPa9rF988YVz+4wZM8ZatWplxYoVs8GDB9uXX35pZmZ9+/a13r17+6Svue2HH36wK6+80m666Sb78ccfXeZNmzbN/P39naNTAoUdGZmzopqR5CPwF/IxZ+Qj+XixKKoLoGXLllnNmjWtW7du9tlnn9kdd9xhq1atMjOzX375xaKioqxDhw62ePFi5zK33nqrxcTE+KrLl1z201CGDBlitWvXtlmzZtmpU6fs+PHj9ueff7oNunDdddfZkCFD8rqrl8zGjRutcePG1rt3b/vpp59c5r333nsF6nQk4GKQke6KekaSj8AZ5KM78pF8zA0U1QXM2T1p3377rVWvXt06d+5sN9xwgx04cMDZ5qeffnKGYvZrYYrCCH2jR4+28PBwW758uaWnp7vNT0lJsXXr1lm7du2sQYMGBWZAiQu1YcMGa9KkifXu3ds2b97sNp9gRGFHRp5fUc5I8hFFHfl4fuQj+XgxKKoLkLOBdvbfr7/+2mrWrGmlS5e2ZcuWubTdvHmztWrVypo3b24JCQlur1EY7dq1y5o1a2ZvvfWWmZnt3r3bvvnmGxs8eLBNmjTJzMw++OAD69Kli7Vv3945QEdhC4oNGzZY8+bN7V//+pf99ttvvu4OkGfIyPMjI8lHFF3k4/mRj+TjxWKgsgIi++AJO3bsUPHixXXttddqyZIlio2N1YsvvqjQ0FA1bdpUklS3bl1NmzZNU6dO1TXXXON8nbOvURiVLFlSQUFB2rJlixYvXqzXX39dv/32mwICArR582alp6frscceU0REhKKiogrtDesbN26sF198UTNmzFDVqlV93R0gT5CR/4yMJB9RNJGP/4x8JB8vlsPMzNedwPlZtlH2hg4dqg8//FD79+9XnTp19Oijj6pBgwaKiYlRkyZNNHToUGcoZpc9UAuDnNbn9OnTevjhh/X9999r7dq1GjRokDp06KA2bdrovvvuU7ly5fTss8+e9zUKk7Ofm8K+ngAZ6Y6MPD/yEUUF+eiOfDw/8tE7hWf3SiGV/QM9f/58zZ07VzNmzFBKSop++ukn3XHHHZo9e7aWLl2qdu3a6ZlnntH//vc/tWjRwuV1CtOXIvs2+e677ySdGeK/adOmmjx5sn777TedPn1a9erVcy7zxx9/qEqVKi6vU5i2SU7O3vagsK8nijYy0h0Z+c/IRxQF5KM78vGfkY9e8tFp5/DQV199Zffff789++yzzmlpaWn2/PPPW3BwsH377be2YcMGK1GihI0YMcKHPb20so/QOGzYMKtZs6ZdccUVFhISYk8//bTL9T5HjhyxTZs2WWxsbKEbUAKAKzLyDDISwN+Rj2eQj7iUKKoLgD179jgHkxg7dqzLvEOHDtktt9xi/fr1MzOz77//vlANmnAuY8aMsYiICFuxYoUdO3bM/ve//5nD4bDhw4c7R2x87bXXrEOHDtauXbtCOaAEgDPISHdkJAAz8jEn5CMuBYrqAuKHH36wmjVrWpMmTWzDhg0u83r16mWxsbEu0wrzF3/r1q3WqVMnW7RokZmZLVy40MLCwqxHjx7m7+/v3Mt66tQp+/LLL517HtnLCBReZORfyEgA2ZGPfyEfcalwsnwB0aBBA73//vvKzMzU5MmTtXHjRknSkSNHtHXrVrdrPfz9/X3Qy0sjKyvL5XnZsmXVuXNntW3bVt9884369eunsWPHas6cObr33ns1ZswY/e9//1NAQICuv/56+fn5KSsrq1CN0AjAFRn5FzISQHbk41/IR1wqjP5dwHz//fe6++67dejQITVr1kyBgYH6/ffftXr1agUGBrqM8lgYZB9QYvv27SpevLjKlSunoKAgSdKAAQOUkpKimTNnKjg4WEOHDtW6det0+vRpffXVVwyyABQxZCQZCSBn5CP5iEuHT0sB07hxYy1YsEDFixdXamqqbrrpJm3YsEGBgYE6depUoQpDyzby4NChQ9W5c2c1atRIsbGxmjp1qiRp8+bNMjMFBwfr1KlT2rZtm/7v//5PK1askJ+fn9hnBBQtZCQZCSBn5CP5iEuHcxkKoKuvvlrvv/++HnroIW3YsEHbt29XrVq1VKxYMV93Ldec7zYQmzdv1sCBAxUYGKghQ4aoQ4cOSktL0x9//CEzU7t27SSp0O1xBXBhyEgyEkDOyEfyEZcGp38XYN9//70eeugh1ahRQyNHjlTt2rV93aVct3z5cr355puqW7euHnnkEUlnrgGaM2eOhg4dqlmzZsnf318LFy5URESEJkyYoICAAGVmZhaqa4IAeI6MJCMB5Ix8JB+RuyiqC7h169Zp8ODBeuutt1S+fHlfdydXJScnq3Xr1tq3b5+GDBmiJ554wjnv0KFD6tWrlypXrqwpU6YoIyNDgYGBkqTTp08zoAQASWQkGQngXMhH8hG5h2uqC7jmzZtryZIlhS4MJSkyMlLvv/++wsPD9f777+v77793zitTpozKli2rX3/9VZKcYSiJMATgREaSkQByRj6Sj8g9FNWFQHBwsK+7cMn8020gKleu7NsOAsj3yEgAyBn5COQOTv9GgVDUbgMBAJ4gIwEgZ+Qj8gJHqlEgFKXbQACAp8hIAMgZ+Yi8QFGNAuPsbSAyMjKct4GQVKhuAwEA3iIjASBn5CMuNU7/RoFTFG4DAQDeIiMBIGfkIy4VjlSjwGncuLFefPFF7dmzR6Ghob7uDgDkK2QkAOSMfMSlwpFqFFgnT54s1KNWAsDFICMBIGfkI3IbRTUAAAAAAF7i9G8AAAAAALxEUQ0AAAAAgJcoqgEAAAAA8BJFNQAAAAAAXqKoBgAAAADASxTVAAAAAAB4iaIaAAAAAAAvUVQDAAAAAOCl/wfzAKqq9LN7qQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_scores(scores)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Both models combined"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "run_inference(\"data/validation.jsonl\", \"data/preds_final.jsonl\", model_qa=\"data/roberta-finetuned\", use_pr=True)\n",
    "final_scores = eval_task_2(\"data/preds_final.jsonl\", \"data/validation.jsonl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_comparison_scores(base_scores, final_scores)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Merge Spoiler Classificaton with Spoiler Generation \n",
    "`postText` : The text of the clickbait post which is to be spoiled.\n",
    "\n",
    "`targetUrl` : The URL of the linked web page. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertModel: ['cls.seq_relationship.bias', 'cls.predictions.transform.dense.bias', 'cls.seq_relationship.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.decoder.weight']\n",
      "- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    }
   ],
   "source": [
    "# load the classification model\n",
    "MODEL_CHECKPOINT = \"bert-base-uncased\"\n",
    "PATH = \"models/bert_100_epochs.pt\"\n",
    "model = BERTClassifier(MODEL_CHECKPOINT)\n",
    "model.load_state_dict(torch.load(PATH, map_location=torch.device(DEVICE)))\n",
    "model.eval();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "postText = \"Is THIS the world's deadliest toxin?\"\n",
    "targetUrl = \"http://huff.to/19Tw4Lb\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# YOU CAN SEE PARAGRAPHS SCRAPING HERE \n",
    "# target_paragraphs = get_target_paragraphs(targetUrl)\n",
    "# target_paragraphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Target paragraphs (input for spoiler classification):\n",
      "['National Reporter, HuffPost', \"Don't panic, but scientists have stumbled across a new substance that may be the deadliest known to man.\", 'A new variant of botulinum toxin, \"type H\" is so dangerous that researchers have decided to withhold publishing information about it, over concern it could be used as a bioweapon.', 'New Scientist reported that inhaling just 13 billionths of a gram of the stuff, or an injection of just 2 billionths of a gram, could kill an adult. Yikes.', '\"This is not the usual process for publishing manuscripts,\" Dr. David Hooper, an editor at the Journal of Infectious Diseases, told NPR. \"We thought in this case an exception was appropriate.\"', 'Clostridium botulinum, the bacterium that produces the toxic protein, is found in soil. Once ingested, the protein acts as a neurotoxin and can cause a life-threatening paralytic illness known as botulism.', 'C. botulinum has long been known to produce the highly dangerous toxins, giving scientists time to develop antitoxins with which to treat them. But H type, the first new botulinum protein discovered in more than 40 years, is untreatable.', 'Fortunately, the likelihood of an average person randomly encountering the new toxin \"is exceedingly small,\" Hooper told The Huffington Post via email.', 'Dr. David A. Relman, a professor of medicine at Stanford, wrote in an editorial commentary accompanying the initial report, \"Until [a type H] antitoxin can be created, shown to be effective, and deployed, both the strain itself and the [DNA] sequence of this toxin ... pose serious risks to public health because of the unusually severe, widespread harm that could result from misuse of either.\"', 'Seven other known strains of the bacterium, labeled after the first seven letters of the alphabet, A - G, are treatable, and only four of them -- A, B, E, and F -- are actually toxic to humans. Of course, C. botulinum also has useful applications, ranging from neuromuscular treatments to Botox for skin wrinkles.', 'This story has been updated with comment from Dr. David Hooper.', 'National Reporter, HuffPost', \"By entering your email and clicking Sign Up, you're agreeing to let us send you customized marketing messages about us and our advertising partners. You are also agreeing to our Terms of Service and Privacy Policy.\"]\n",
      "Spoiler type prediction : passage\n",
      "\n",
      "Input:\n",
      "{'postText': \"Is THIS the world's deadliest toxin?\", 'targetParagraphs': ['National Reporter, HuffPost', \"Don't panic, but scientists have stumbled across a new substance that may be the deadliest known to man.\", 'A new variant of botulinum toxin, \"type H\" is so dangerous that researchers have decided to withhold publishing information about it, over concern it could be used as a bioweapon.', 'New Scientist reported that inhaling just 13 billionths of a gram of the stuff, or an injection of just 2 billionths of a gram, could kill an adult. Yikes.', '\"This is not the usual process for publishing manuscripts,\" Dr. David Hooper, an editor at the Journal of Infectious Diseases, told NPR. \"We thought in this case an exception was appropriate.\"', 'Clostridium botulinum, the bacterium that produces the toxic protein, is found in soil. Once ingested, the protein acts as a neurotoxin and can cause a life-threatening paralytic illness known as botulism.', 'C. botulinum has long been known to produce the highly dangerous toxins, giving scientists time to develop antitoxins with which to treat them. But H type, the first new botulinum protein discovered in more than 40 years, is untreatable.', 'Fortunately, the likelihood of an average person randomly encountering the new toxin \"is exceedingly small,\" Hooper told The Huffington Post via email.', 'Dr. David A. Relman, a professor of medicine at Stanford, wrote in an editorial commentary accompanying the initial report, \"Until [a type H] antitoxin can be created, shown to be effective, and deployed, both the strain itself and the [DNA] sequence of this toxin ... pose serious risks to public health because of the unusually severe, widespread harm that could result from misuse of either.\"', 'Seven other known strains of the bacterium, labeled after the first seven letters of the alphabet, A - G, are treatable, and only four of them -- A, B, E, and F -- are actually toxic to humans. Of course, C. botulinum also has useful applications, ranging from neuromuscular treatments to Botox for skin wrinkles.', 'This story has been updated with comment from Dr. David Hooper.', 'National Reporter, HuffPost', \"By entering your email and clicking Sign Up, you're agreeing to let us send you customized marketing messages about us and our advertising partners. You are also agreeing to our Terms of Service and Privacy Policy.\"], 'tags': ['passage']}\n",
      "Using GPU for pipeline\n",
      "Using GPU for pipeline\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1/1 [00:00<00:00,  4.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Output:\n",
      "{'uuid': 'user_input', 'spoiler': ['Clostridium botulinum, the bacterium that produces the toxic protein, is found in soil.']}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'uuid': 'user_input',\n",
       " 'spoiler': ['Clostridium botulinum, the bacterium that produces the toxic protein, is found in soil.']}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_spoiler_from_user_input(postText, targetUrl, model)"
   ]
  }
 ],
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    "version": 3
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   "file_extension": ".py",
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