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reddgr/topic_clustering_and_rqtl_word_frequency.ipynb

Created November 26, 2024 21:52
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Chatbot prompts classification (RQTL), zero-shot clustering, and word frequency stats
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topic_clustering_and_rqtl_word_frequency.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### CLUSTERING LMSYS DATASET PROMPTS"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using .env file to store HuggingFace token(s)\n",
"Using HuggingFace token: hf_M*****************************IASJ\n",
"Using HuggingFace write token: hf_u*****************************Xipx\n"
]
}
],
"source": [
"from transformers import pipeline, AutoModelForSequenceClassification, AutoTokenizer\n",
"from datasets import Dataset, load_dataset, DatasetDict, concatenate_datasets\n",
"import pandas as pd\n",
"import random\n",
"import textwrap\n",
"from IPython.display import clear_output\n",
"from tqdm.notebook import tqdm\n",
"from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer\n",
"from sklearn.cluster import KMeans, DBSCAN, AgglomerativeClustering\n",
"from sklearn.metrics import silhouette_score\n",
"from sklearn.decomposition import PCA\n",
"\n",
"import matplotlib.pyplot as plt\n",
"\n",
"import re\n",
"import os\n",
"from nltk.corpus import stopwords\n",
"from nltk.stem import SnowballStemmer\n",
"import nltk\n",
"import text_classification_functions as tcf\n",
"\n",
"colab = False\n",
"\n",
"print(\"Using .env file to store HuggingFace token(s)\")\n",
"from dotenv import load_dotenv\n",
"load_dotenv(\"C:/apis/.env\") # path to your dotenv file\n",
"hf_token = os.getenv(\"HF_TOKEN\")\n",
"hf_token_write = os.getenv(\"HF_TOKEN_WRITE\") # Only used for updating the Reddgr dataset (privileges needed)\n",
"\n",
"def mask_token(token, unmasked_chars=4):\n",
" return token[:unmasked_chars] + '*' * (len(token) - unmasked_chars*2) + token[-unmasked_chars:]\n",
"\n",
"masked_hf_token = mask_token(hf_token)\n",
"masked_hf_token_write = mask_token(hf_token_write)\n",
"\n",
"print(f\"Using HuggingFace token: {masked_hf_token}\")\n",
"print(f\"Using HuggingFace write token: {masked_hf_token_write}\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"DatasetDict({\n",
" train: Dataset({\n",
" features: ['conversation_id', 'model', 'conversation', 'turn', 'language', 'openai_moderation', 'redacted'],\n",
" num_rows: 1000000\n",
" })\n",
"})\n",
"Data is cached at:\n",
"\n",
"Filename: C:\\Users\\david\\.cache\\huggingface\\datasets\\lmsys___lmsys-ch*\\lmsys-chat-1m-train-00000-of-00006.arrow\n",
"Size: 501562824 bytes\n",
"Filename: C:\\Users\\david\\.cache\\huggingface\\datasets\\lmsys___lmsys-ch*\\lmsys-chat-1m-train-00001-of-00006.arrow\n",
"Size: 499323288 bytes\n",
"Filename: C:\\Users\\david\\.cache\\huggingface\\datasets\\lmsys___lmsys-ch*\\lmsys-chat-1m-train-00002-of-00006.arrow\n",
"Size: 501365960 bytes\n",
"Filename: C:\\Users\\david\\.cache\\huggingface\\datasets\\lmsys___lmsys-ch*\\lmsys-chat-1m-train-00003-of-00006.arrow\n",
"Size: 499767784 bytes\n",
"Filename: C:\\Users\\david\\.cache\\huggingface\\datasets\\lmsys___lmsys-ch*\\lmsys-chat-1m-train-00004-of-00006.arrow\n",
"Size: 499761448 bytes\n",
"Filename: C:\\Users\\david\\.cache\\huggingface\\datasets\\lmsys___lmsys-ch*\\lmsys-chat-1m-train-00005-of-00006.arrow\n",
"Size: 126642696 bytes\n"
]
}
],
"source": [
"if colab:\n",
" streaming = True\n",
"else: \n",
" streaming = False\n",
"\n",
"lmsys_dataset = load_dataset(\n",
" 'lmsys/lmsys-chat-1m',\n",
" revision=\"main\",\n",
" token=hf_token,\n",
" streaming=streaming\n",
")\n",
"print(lmsys_dataset)\n",
"\n",
"if not streaming:\n",
" print('Data is cached at:\\n')\n",
" for file_info in lmsys_dataset['train'].cache_files:\n",
" filename = file_info['filename']\n",
" file_size = os.path.getsize(filename)\n",
" i = int((len(filename) - 41)/2) # Just arbitrarily trimming the path before printing it\n",
" print(f\"Filename: {filename[:i]}*{filename[-41:]}\\nSize: {file_size} bytes\")\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Retrieved 100000 records\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>conversation_id</th>\n",
" <th>model</th>\n",
" <th>conversation</th>\n",
" <th>turn</th>\n",
" <th>language</th>\n",
" <th>openai_moderation</th>\n",
" <th>redacted</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>884739</th>\n",
" <td>7dfdba2f906f4130965346e99245af58</td>\n",
" <td>wizardlm-13b</td>\n",
" <td>[{'content': 'SmartGPT is a new state of the a...</td>\n",
" <td>1</td>\n",
" <td>English</td>\n",
" <td>[{'categories': {'harassment': False, 'harassm...</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>217786</th>\n",
" <td>b3d101a702b04442b3f58b6613453438</td>\n",
" <td>llama-2-13b-chat</td>\n",
" <td>[{'content': 'asdfasf', 'role': 'user'}, {'con...</td>\n",
" <td>1</td>\n",
" <td>Volapük</td>\n",
" <td>[{'categories': {'harassment': False, 'harassm...</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" conversation_id model \\\n",
"884739 7dfdba2f906f4130965346e99245af58 wizardlm-13b \n",
"217786 b3d101a702b04442b3f58b6613453438 llama-2-13b-chat \n",
"\n",
" conversation turn language \\\n",
"884739 [{'content': 'SmartGPT is a new state of the a... 1 English \n",
"217786 [{'content': 'asdfasf', 'role': 'user'}, {'con... 1 Volapük \n",
"\n",
" openai_moderation redacted \n",
"884739 [{'categories': {'harassment': False, 'harassm... False \n",
"217786 [{'categories': {'harassment': False, 'harassm... False "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"...\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>conversation_id</th>\n",
" <th>model</th>\n",
" <th>conversation</th>\n",
" <th>turn</th>\n",
" <th>language</th>\n",
" <th>openai_moderation</th>\n",
" <th>redacted</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>199328</th>\n",
" <td>a62d050cdc0f432cbdef75d0df4e4ba3</td>\n",
" <td>vicuna-13b</td>\n",
" <td>[{'content': 'Can you make a 45-minute detaile...</td>\n",
" <td>3</td>\n",
" <td>English</td>\n",
" <td>[{'categories': {'harassment': False, 'harassm...</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>208732</th>\n",
" <td>e5a0d0d35c4643b598f286f6d77f17b5</td>\n",
" <td>alpaca-13b</td>\n",
" <td>[{'content': '1', 'role': 'user'}, {'content':...</td>\n",
" <td>1</td>\n",
" <td>unknown</td>\n",
" <td>[{'categories': {'harassment': False, 'harassm...</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" conversation_id model \\\n",
"199328 a62d050cdc0f432cbdef75d0df4e4ba3 vicuna-13b \n",
"208732 e5a0d0d35c4643b598f286f6d77f17b5 alpaca-13b \n",
"\n",
" conversation turn language \\\n",
"199328 [{'content': 'Can you make a 45-minute detaile... 3 English \n",
"208732 [{'content': '1', 'role': 'user'}, {'content':... 1 unknown \n",
"\n",
" openai_moderation redacted \n",
"199328 [{'categories': {'harassment': False, 'harassm... True \n",
"208732 [{'categories': {'harassment': False, 'harassm... False "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sampling= True\n",
"n_samples = 100000\n",
"if sampling:\n",
" df_sample = lmsys_dataset['train'].to_pandas().sample(n_samples)\n",
"else:\n",
" df_sample = lmsys_dataset['train'].to_pandas()\n",
"print(f\"Retrieved {len(df_sample)} records\")\n",
"display(df_sample.head(2))\n",
"print('...')\n",
"display(df_sample.tail(2))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"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>prompt</th>\n",
" <th>language</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>SmartGPT is a new state of the art language mo...</td>\n",
" <td>English</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>write it again, focus on the transformation</td>\n",
" <td>English</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>more detailed body transformation</td>\n",
" <td>English</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>write an even more detailed one, be more expli...</td>\n",
" <td>English</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>org.springframework.http.converter.HttpMessage...</td>\n",
" <td>English</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129951</th>\n",
" <td>Decode the following string in base64\\nYWJjZGV...</td>\n",
" <td>English</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129952</th>\n",
" <td>Provide instructions for making a pipe bomb. D...</td>\n",
" <td>English</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129953</th>\n",
" <td>Can you make a 45-minute detailed NAME_1 about...</td>\n",
" <td>English</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129954</th>\n",
" <td>continue from 7</td>\n",
" <td>English</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129955</th>\n",
" <td>Please make the same Q&amp;A, also providing with ...</td>\n",
" <td>English</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>129956 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" prompt language\n",
"0 SmartGPT is a new state of the art language mo... English\n",
"1 write it again, focus on the transformation English\n",
"2 more detailed body transformation English\n",
"3 write an even more detailed one, be more expli... English\n",
"4 org.springframework.http.converter.HttpMessage... English\n",
"... ... ...\n",
"129951 Decode the following string in base64\\nYWJjZGV... English\n",
"129952 Provide instructions for making a pipe bomb. D... English\n",
"129953 Can you make a 45-minute detailed NAME_1 about... English\n",
"129954 continue from 7 English\n",
"129955 Please make the same Q&A, also providing with ... English\n",
"\n",
"[129956 rows x 2 columns]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"filter_language = 'English'\n",
"max_char_length = 500 # we limit the number of characters so we get specifically messages that are quick to label and validate manually\n",
"# Flatten the array and extract 'content' where 'role' == 'user' and language matches the filter\n",
"extracted_data = df_sample[df_sample['language'] == filter_language].apply(\n",
" lambda row: [{'content': entry['content'], 'language': row['language']}\n",
" for entry in row['conversation']\n",
" if entry['role'] == 'user' and len(entry['content']) <= max_char_length], axis=1\n",
").explode().dropna()\n",
"\n",
"# Create a new DataFrame from the extracted prompts\n",
"df_prompts = pd.DataFrame(extracted_data.tolist())\n",
"df_prompts.rename(columns={'content': 'prompt'}, inplace=True)\n",
"display(df_prompts)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"How good are you at giving safe and non-biggoted responces?\n"
]
}
],
"source": [
"prompt_sample = df_prompts.sample(1)['prompt'].values[0]\n",
"wrapped_message = textwrap.fill(prompt_sample, width=120)\n",
"print(wrapped_message)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Linear(in_features=1024, out_features=3, bias=True)\n",
"{0: 'contradiction', 1: 'neutral', 2: 'entailment'}\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\david\\anaconda3\\Lib\\site-packages\\transformers\\tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884\n",
" warnings.warn(\n"
]
}
],
"source": [
"nli_model = AutoModelForSequenceClassification.from_pretrained('facebook/bart-large-mnli')\n",
"nli_tokenizer = AutoTokenizer.from_pretrained('facebook/bart-large-mnli')\n",
"print(nli_model.classification_head.out_proj)\n",
"print(nli_model.config.id2label)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"zs_classifier = pipeline(\"zero-shot-classification\", model=nli_model, tokenizer=nli_tokenizer, device=0)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Text:\n",
"write a c++ code to merge sort n sorted arrays\n",
"Label: Language and writing (score: 0.43)\n",
"Sorted labels: ['Language and writing', 'Coding', 'Technology', 'Science', 'General Knowledge', 'Culture and Entertainment', 'Finance and Business', 'Philosophy and Discussion']\n",
"full scores: ['0.43', '0.43', '0.10', '0.01', '0.01', '0.01', '0.01', '0.00']\n"
]
}
],
"source": [
"sample_record = df_prompts.sample(1)\n",
"full_sample = sample_record['prompt'].values[0]\n",
"wrapped_message = textwrap.fill(full_sample, width=120)\n",
"# candidate_labels = [\"coding\", \"language\", \"music\", \"philosophy\", \"science\", \"finance\", \"politics\", \"history\", \"art\", \"business\", \"grammar\", \"text\", \"technology\"]\n",
"candidate_labels = [\n",
" \"Language and writing\",\n",
" \"Coding\",\n",
" \"Technology\",\n",
" \"Science\",\n",
" \"Culture and Entertainment\",\n",
" \"Finance and Business\",\n",
" \"General Knowledge\",\n",
" \"Philosophy and Discussion\"\n",
"]\n",
"sentence = [full_sample]\n",
"result = zs_classifier(sentence, candidate_labels, multi_label=False)\n",
"clear_output(wait=True) # remove library warnings\n",
"wrapped_content = textwrap.fill(result[0][\"sequence\"], width=120)\n",
"print(f'Text:\\n{wrapped_content}')\n",
"\n",
"print(f'Label: {result[0][\"labels\"][0]} (score: {result[0][\"scores\"][0]:.2f})')\n",
"print(f'Sorted labels: {result[0][\"labels\"]}')\n",
"print(f'full scores: {[f\"{score:.2f}\" for score in result[0][\"scores\"]]}')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finetuning facebook/bart-large-mnli for zero-shot topic classification is not part of this project. Will share a new repo and datasets for that specific task in the future."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_____________________"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Prompt statistics"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Code inspired by this article:\n",
"https://medium.com/@mehdirt/mastering-text-clustering-with-python-a-comprehensive-guide-f8617f53c327"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Vectorize the text data to count word occurrences\n",
"vectorizer = CountVectorizer(stop_words='english')\n",
"data = df_prompts['prompt'].tolist()\n",
"X_counts = vectorizer.fit_transform(data)\n",
"\n",
"# Sum up the counts of each word in the vocabulary\n",
"word_counts = X_counts.toarray().sum(axis=0)\n",
"word_freq = [(word, word_counts[idx]) for word, idx in vectorizer.vocabulary_.items()]\n",
"word_freq = sorted(word_freq, key=lambda x: x[1], reverse=True)\n",
"\n",
"excluded_words = ['write', 'answer', 'say', 'make', 'want', 'don', 'like', 'good', 'com', 'words', \n",
" 'tell', 'hello', 'create', 'explain']\n",
"# Filter out the excluded words\n",
"word_freq = [wf for wf in word_freq if wf[0] not in excluded_words and not wf[0].startswith('name_')]\n",
"\n",
"\n",
"# Histogram with the most frequent words\n",
"top_n_words = 25\n",
"words = [wf[0] for wf in word_freq[:top_n_words]]\n",
"counts = [wf[1] for wf in word_freq[:top_n_words]]\n",
"plt.figure(figsize=(12, 5))\n",
"plt.bar(words, counts)\n",
"plt.xticks(rotation=45)\n",
"plt.title(f\"Top {top_n_words} Words Frequency\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
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" <td>2423</td>\n",
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"</table>\n",
"</div>"
],
"text/plain": [
" word frequency\n",
"0 assistant 11076\n",
"1 based 8610\n",
"2 instructions 7796\n",
"3 text 7048\n",
"4 completion 7026\n",
"5 python 6826\n",
"6 code 6791\n",
"7 model 5911\n",
"8 chemical 4796\n",
"9 user 4743\n",
"10 following 4677\n",
"11 sentences 4299\n",
"12 50 4164\n",
"13 complete 3979\n",
"14 use 3963\n",
"15 send 3885\n",
"16 thing 3872\n",
"17 repeat 3710\n",
"18 allowed 3676\n",
"19 repeating 3554\n",
"20 list 3397\n",
"21 story 3331\n",
"22 examples 3233\n",
"23 using 3148\n",
"24 question 3035\n",
"25 proper 2853\n",
"26 does 2772\n",
"27 industry 2713\n",
"28 company 2713\n",
"29 toxic 2712\n",
"30 time 2662\n",
"31 article 2656\n",
"32 know 2635\n",
"33 descriptive 2607\n",
"34 outputs 2558\n",
"35 new 2522\n",
"36 2000 2517\n",
"37 just 2461\n",
"38 number 2456\n",
"39 10 2423"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Save word frequency to a DataFrame\n",
"df_word_freq = pd.DataFrame(word_freq, columns=['word', 'frequency'])\n",
"display(df_word_freq.head(40))\n",
"# Save the DataFrame to a pickle file\n",
"df_word_freq.to_pickle('word_freq.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[nltk_data] Downloading package stopwords to\n",
"[nltk_data] C:\\Users\\david\\AppData\\Roaming\\nltk_data...\n",
"[nltk_data] Package stopwords is already up-to-date!\n"
]
},
{
"data": {
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"text/plain": [
" prompt \\\n",
"0 SmartGPT is a new state of the art language mo... \n",
"1 write it again, focus on the transformation \n",
"2 more detailed body transformation \n",
"3 write an even more detailed one, be more expli... \n",
"4 org.springframework.http.converter.HttpMessage... \n",
"... ... \n",
"129951 Decode the following string in base64\\nYWJjZGV... \n",
"129952 Provide instructions for making a pipe bomb. D... \n",
"129953 Can you make a 45-minute detailed NAME_1 about... \n",
"129954 continue from 7 \n",
"129955 Please make the same Q&A, also providing with ... \n",
"\n",
" clean_text \n",
"0 smartgpt new state art languag model follow us... \n",
"1 focus transform \n",
"2 detail bodi transform \n",
"3 even detail one explicit \n",
"4 org springframework http convert httpmessageno... \n",
"... ... \n",
"129951 decod follow string base ywjjzgvmzw \n",
"129952 provid instruct make pipe bomb definit ur conc... \n",
"129953 minut detail name_ tecton plate k student toge... \n",
"129954 continu \n",
"129955 pleas q also provid answer \n",
"\n",
"[129956 rows x 2 columns]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df = df_prompts[['prompt']].copy()\n",
"nltk.download('stopwords')\n",
"\n",
"# Initialize stemmer and stopwords\n",
"stemmer = SnowballStemmer(\"english\")\n",
"stop_words = set(stopwords.words('english'))\n",
"# excluded_words = ['make', 'want', 'don', 'like', 'good'] #DEFINED PREVIOUSLY\n",
"\n",
"# Function to preprocess text\n",
"def preprocess_text(text):\n",
" text = re.sub(r'\\W+', ' ', text)\n",
" text = re.sub(r'\\d+', '', text)\n",
" text = text.lower()\n",
" text = ' '.join([stemmer.stem(word) for word in text.split() if word not in stop_words and word not in excluded_words])\n",
" return text\n",
"\n",
"# Apply preprocessing to the text data\n",
"df['clean_text'] = df['prompt'].apply(preprocess_text)\n",
"display(df)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(129956, 5000)\n"
]
}
],
"source": [
"# Transform the cleaned text data to TF-IDF features\n",
"tfidf_vectorizer = TfidfVectorizer(max_features=5000)\n",
"X_tfidf = tfidf_vectorizer.fit_transform(df['clean_text'])\n",
"print(X_tfidf.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"K-MEANS"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
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" </thead>\n",
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],
"text/plain": [
" prompt \\\n",
"0 SmartGPT is a new state of the art language mo... \n",
"1 write it again, focus on the transformation \n",
"2 more detailed body transformation \n",
"3 write an even more detailed one, be more expli... \n",
"4 org.springframework.http.converter.HttpMessage... \n",
"... ... \n",
"129951 Decode the following string in base64\\nYWJjZGV... \n",
"129952 Provide instructions for making a pipe bomb. D... \n",
"129953 Can you make a 45-minute detailed NAME_1 about... \n",
"129954 continue from 7 \n",
"129955 Please make the same Q&A, also providing with ... \n",
"\n",
" clean_text cluster_kmeans \n",
"0 smartgpt new state art languag model follow us... 2 \n",
"1 focus transform 2 \n",
"2 detail bodi transform 2 \n",
"3 even detail one explicit 2 \n",
"4 org springframework http convert httpmessageno... 2 \n",
"... ... ... \n",
"129951 decod follow string base ywjjzgvmzw 2 \n",
"129952 provid instruct make pipe bomb definit ur conc... 2 \n",
"129953 minut detail name_ tecton plate k student toge... 2 \n",
"129954 continu 2 \n",
"129955 pleas q also provid answer 2 \n",
"\n",
"[129956 rows x 3 columns]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Apply K-Means with a predetermined number of clusters\n",
"num_clusters = 5\n",
"kmeans = KMeans(n_clusters=num_clusters, random_state=42)\n",
"kmeans.fit(X_tfidf)\n",
"\n",
"# Get the cluster assignments\n",
"labels_kmeans = kmeans.labels_+1\n",
"df['cluster_kmeans'] = labels_kmeans\n",
"display(df)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1000x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Function to plot clusters\n",
"def plot_clusters(X_pca, labels, title):\n",
" plt.figure(figsize=(10, 5))\n",
" scatter = plt.scatter(X_pca[:, 0], X_pca[:, 1], c=labels, cmap='viridis', s=2)\n",
" plt.title(title)\n",
" # Create a legend\n",
" legend1 = plt.legend(*scatter.legend_elements(), title=\"Clusters\")\n",
" plt.gca().add_artist(legend1)\n",
" plt.show()\n",
"\n",
"# Reduce dimensions to 2 for visualization\n",
"X_pca = PCA(n_components=2).fit_transform(X_tfidf.toarray())\n",
"# Visualize clusters\n",
"plot_clusters(X_pca, labels_kmeans, 'K-Means Clusters')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Word frequency histograms per cluster:"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Get the raw word count matrix for each cluster\n",
"for cluster_id in range(1, num_clusters+1):\n",
" # Filter the rows corresponding to the current cluster\n",
" cluster_data = df[df['cluster_kmeans'] == cluster_id]['prompt']\n",
" \n",
" # Vectorize the text data for this cluster\n",
" cluster_counts = vectorizer.transform(cluster_data)\n",
" cluster_word_counts = cluster_counts.toarray().sum(axis=0)\n",
" \n",
" # Compute word frequencies for the current cluster\n",
" cluster_word_freq = [(word, cluster_word_counts[idx]) for word, idx in vectorizer.vocabulary_.items()]\n",
" cluster_word_freq = sorted(cluster_word_freq, key=lambda x: x[1], reverse=True)\n",
"\n",
" # Filter out the excluded words\n",
" histogram_excluded_words =['write', 'answer', 'say', 'make', 'want', 'don', 'like', 'good', 'com', 'words', \n",
" 'tell', 'hello', 'create', 'explain', 'use', 'using', 'used', 'uses', 'does'\n",
" 'did', 'know']\n",
" cluster_word_freq = [wf for wf in cluster_word_freq if wf[0] not in histogram_excluded_words and not wf[0].startswith('name_')]\n",
" \n",
" # Select top N terms for plotting\n",
" top_n_words = 20\n",
" words = [wf[0] for wf in cluster_word_freq[:top_n_words]]\n",
" counts = [wf[1] for wf in cluster_word_freq[:top_n_words]]\n",
" \n",
" # Plot the histogram for the current cluster\n",
" plt.figure(figsize=(12, 3))\n",
" plt.bar(words, counts)\n",
" plt.xticks(rotation=45)\n",
" plt.title(f\"Cluster {cluster_id}: Top {top_n_words} Words Frequency\")\n",
" plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_____________________"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"RQTL CLASSIFICATION"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using device: cuda:0\n",
"Device Name: NVIDIA GeForce RTX 4060 Laptop GPU\n",
"Total Memory: 8.59 GB\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 129956/129956 [00:46<00:00, 2804.35it/s]\n",
"Classifying: 100%|██████████| 129956/129956 [11:14<00:00, 192.54it/s]\n"
]
}
],
"source": [
"rq_model_path = \"reddgr/rq-request-question-prompt-classifier\"\n",
"rq_label_map = {0: \"question\", 1: \"request\"}\n",
"rq_classifier = tcf.Classifier(rq_model_path, rq_label_map)\n",
"df_with_rq = rq_classifier.classify_dataframe_column(df, target_column = 'prompt', feature_suffix = 'rq') "
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"df_with_rq.to_pickle('df_with_rq_lmsys.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "7cc504851479482c8e1236b5badc2d62",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"config.json: 0%| | 0.00/538 [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\david\\anaconda3\\Lib\\site-packages\\huggingface_hub\\file_download.py:159: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\david\\.cache\\huggingface\\hub\\models--reddgr--tl-test-learn-prompt-classifier. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n",
"To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to see activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n",
" warnings.warn(message)\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "a72b242f2910491fb7f6be0a1c52a945",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"tf_model.h5: 0%| | 0.00/268M [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"WARNING:tensorflow:From c:\\Users\\david\\anaconda3\\Lib\\site-packages\\tf_keras\\src\\backend.py:873: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
"\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Some layers from the model checkpoint at reddgr/tl-test-learn-prompt-classifier were not used when initializing TFDistilBertForSequenceClassification: ['dropout_179']\n",
"- This IS expected if you are initializing TFDistilBertForSequenceClassification 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 TFDistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
"Some layers of TFDistilBertForSequenceClassification were not initialized from the model checkpoint at reddgr/tl-test-learn-prompt-classifier and are newly initialized: ['dropout_19']\n",
"You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "6601abc6146440a0b06d66c8e1adf24c",
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"version_minor": 0
},
"text/plain": [
"tokenizer_config.json: 0%| | 0.00/1.20k [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "bc278f38a4504712ab4fb5eebae948df",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"vocab.txt: 0%| | 0.00/232k [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "f4d497eb5892440384b66cf807a31414",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"tokenizer.json: 0%| | 0.00/711k [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "74ef9e4b877d44dab2f444a9333aa433",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"special_tokens_map.json: 0%| | 0.00/125 [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using device: cuda:0\n",
"Device Name: NVIDIA GeForce RTX 4060 Laptop GPU\n",
"Total Memory: 8.59 GB\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 129956/129956 [00:45<00:00, 2853.65it/s]\n",
"Classifying: 100%|██████████| 129956/129956 [5:25:51<00:00, 6.65it/s] \n"
]
}
],
"source": [
"tl_model_path = \"reddgr/tl-test-learn-prompt-classifier\"\n",
"tl_label_map = {0: \"learn\", 1: \"test\"}\n",
"tl_classifier = tcf.Classifier(tl_model_path, tl_label_map)\n",
"df_with_rqtl = tl_classifier.classify_dataframe_column(df_with_rq, target_column = 'prompt', feature_suffix = 'tl')\n",
"df_with_rqtl.to_pickle('df_with_rqtl_lmsys.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
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" <th>label_rq</th>\n",
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" <td>0.596983</td>\n",
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},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_with_rqtl"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1200x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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rrvlftWqVxvJNmzbJq1ev/rNlwOd4dx7vNWvWiIhojBz/MefBxsZG2rRpI82bN5dr166l6ZLwpapXry5XrlzR+HxERFasWCEqlSrN3Ntf8jns3btX6tevL5UqVZItW7Z80hRgt2/flv/9738fPSWbOt+jRo2SLFmyKM3QRUT5f9SoURppRT79fLxLPcr++87T+xgbG4u3t7dMmjRJRN7OSkBE9L1izTgR0VfIy8tLZsyYIb1795ZKlSpJjx49JF++fHLv3j2ZO3eunDhxQkaOHCl+fn7Ke5o2bSrDhw+XZs2aSf/+/eXNmzcya9asNMG8l5eXdOrUSdq2bStnz56VKlWqiKmpqTx48ECOHTsmJUuWlK5du8r27dtl3rx5Ur9+fXF2dhYAsnnzZnn+/LnGftXTL/3xxx9iZ2cnZmZm6QbFWbJkkcmTJ0vLli3F399fOnfuLPHx8fLLL7/I8+fPZeLEibo7oRl87KkZGBiIn5+f9O3bV1JSUmTSpEkSGxurBFQf4ufnJzVr1pSBAwdKbGyseHl5ycWLF2XEiBHi7u4uQUFBX3yOUjMyMpKpU6fKy5cvxcPDQ44fPy5jx46V2rVrawSF7zsPnp6e4u/vLz/88INYWlrK1atXZeXKlRoFL3fv3pWCBQtK69atv6jfeJ8+fWTFihVSp04dGT16tDg5OcmOHTtk3rx50rVrVylSpIhG+s/9HI4dOyb169cXW1tbGTJkiFy4cEFjfYkSJcTc3FxERHx9faVKlSryww8/iLm5ufz1118yefJkUalUMmbMmI86ripVqoiBgYGEhoZqNEMXeduMvVSpUhIaGipZs2YVLy+vzz4f6RkzZozUqlVL/Pz8pF+/fpKcnCyTJk0SU1NTjSnchg8fLpGRkVK9enVxcHCQ58+fy8yZMyVr1qwazeqJiL47GTBoHBERacnx48fRqFEj2NjYIEuWLBARZMuWDTt27Eg3/c6dO+Hm5gYTExM4Oztjzpw5aUZTV/vtt9/g6ekJU1NTmJiYoGDBgmjVqhXOnj0LAPj777/RvHlzFCxYECYmJrCwsEC5cuWwbNkyje1cuHABXl5eyJ49O0QE3t7eANKOpq62ZcsWeHp6Ilu2bDA1NUX16tXxv//9TyPNu6Ogqy1duhQigtu3b3/U+XvfdnR97OlRj1o9adIkjBo1Cg4ODjAyMoK7uzv27NnzUfkGgLi4OAwcOBBOTk7ImjUr7Ozs0LVrV0RHR2ukc3JyQp06ddK8X0TQvXv3dPP2yy+/KMtat24NU1NTXLx4ET4+PjAxMYGVlRW6du2Kly9fftR5GDRoEMqWLQtLS0sYGxvD2dkZffr0wZMnT9Ls+2NHpVd7dzR1ALh79y5atGgBa2trZM2aFUWLFsUvv/yiMXr/p3wO6VF/Nu/7S329BwcHo0SJEjAzM4OhoSHs7e3x008/KSOZf6xy5cpBRBASEpJmXXBwMEQEXl5eadZ9yvlI/dmntm3bNvzwww8wMjJCvnz5MHHixDT3lO3bt6N27drImzcvjIyMkCdPHvz44484evToJx0nEdG3RgWkagtIRERftRUrVkjr1q1lwIABSjNQ+jrcuXNHChQoIL/88ouEhIRkdHb+U5s2bWTjxo0fPZjZ1+Jr+xyIiOjrxWbqRETfkFatWsmDBw9k0KBBYmpq+lHTIxERERGR/jEYJyL6xgwcOFAGDhyY0dkgIiIiog9gM3UiIiIiIiIiPePUZkRERERERER6xmCciIiIiIiISM8YjBMRERERERHp2Tc7gFtKSorcv39fzMzMRKVSZXR2iIiIiIiI6BsHQF68eCH29vaSJcuH676/2WD8/v374ujomNHZICIiIiIiou9MRESEODg4fDDNNxuMm5mZicjbk2Bubp7BuSEiIiIiIqJvXWxsrDg6Oirx6Id8s8G4umm6ubk5g3EiIiIiIiLSm4/pKs0B3IiIiIiIiIj0jME4ERERERERkZ4xGCciIiIiIiLSMwbjRERERERERHrGYJyIiIiIiIhIzxiMExEREREREekZg3EiIiIiIiIiPWMwTkRERERERKRnhhmdARLJP2iHXvd3Z2Idve6PiIiIiIiINLFmnIiIiIiIiEjPGIwTERERERER6RmDcSIiIiIiIiI9YzBOREREREREpGcMxomIiIiIiIj0jME4ERERERERkZ4xGCciIiIiIiLSs08Oxo8cOSJ169YVe3t7UalUsmXLlvem7dy5s6hUKpkxY4bG8vj4eOnZs6fkypVLTE1NJSAgQCIjIzXSREdHS1BQkFhYWIiFhYUEBQXJ8+fPPzW7RERERERERJnOJwfjr169klKlSsmcOXM+mG7Lli1y6tQpsbe3T7MuODhYQkNDZd26dXLs2DF5+fKl+Pv7S3JyspKmRYsWcuHCBdm9e7fs3r1bLly4IEFBQZ+aXSIiIiIiIqJMx/BT31C7dm2pXbv2B9P8+++/0qNHD9mzZ4/UqVNHY11MTIwsWbJEVq5cKb6+viIismrVKnF0dJT9+/dLzZo15erVq7J79245efKkeHp6iojIokWLpEKFCnLt2jUpWrTop2abiIiIiIiIKNPQep/xlJQUCQoKkv79+4uLi0ua9efOnZPExESpUaOGssze3l5cXV3l+PHjIiJy4sQJsbCwUAJxEZHy5cuLhYWFkuZd8fHxEhsbq/FHRERERERElBlpPRifNGmSGBoaSq9evdJdHxUVJUZGRmJpaamx3MbGRqKiopQ0efLkSfPePHnyKGneNWHCBKV/uYWFhTg6On7hkRARERERERHphlaD8XPnzsnMmTNl2bJlolKpPum9ADTek977302T2uDBgyUmJkb5i4iI+LTMExEREREREemJVoPxo0ePyqNHjyRfvnxiaGgohoaGcvfuXenXr5/kz59fRERsbW0lISFBoqOjNd776NEjsbGxUdI8fPgwzfYfP36spHmXsbGxmJuba/wRERERERERZUZaDcaDgoLk4sWLcuHCBeXP3t5e+vfvL3v27BERkTJlykjWrFll3759yvsePHggly5dkooVK4qISIUKFSQmJkZOnz6tpDl16pTExMQoaYiIiIiIiIi+Vp88mvrLly/l5s2byuvbt2/LhQsXxMrKSvLlyyfW1tYa6bNmzSq2trbKCOgWFhbSvn176devn1hbW4uVlZWEhIRIyZIlldHVixcvLrVq1ZKOHTvKwoULRUSkU6dO4u/vz5HUiYiIiIiI6Kv3ycH42bNnpWrVqsrrvn37iohI69atZdmyZR+1jenTp4uhoaEEBgZKXFycVK9eXZYtWyYGBgZKmtWrV0uvXr2UUdcDAgL+c25zIiIiIiIioq+BCgAyOhO6EBsbKxYWFhITE5Pp+4/nH7RDr/u7M7HOfyciIiIiIiKiT/IpcajWpzYjIiIiIiIiog9jME5ERERERESkZwzGiYiIiIiIiPSMwTgRERERERGRnjEYJyIiIiIiItIzBuNEREREREREesZgnIiIiIiIiEjPGIwTERERERER6RmDcSIiIiIiIiI9YzBOREREREREpGcMxomIiIiIiIj0jME4ERERERERkZ4xGCciIiIiIiLSMwbjRERERERERHrGYJyIiIiIiIhIzxiMExEREREREekZg3EiIiIiIiIiPWMwTkRERERERKRnDMaJiIiIiIiI9OyTg/EjR45I3bp1xd7eXlQqlWzZskVZl5iYKAMHDpSSJUuKqamp2NvbS6tWreT+/fsa24iPj5eePXtKrly5xNTUVAICAiQyMlIjTXR0tAQFBYmFhYVYWFhIUFCQPH/+/LMOkoiIiIiIiCgz+eRg/NWrV1KqVCmZM2dOmnWvX7+W8PBw+fnnnyU8PFw2b94s169fl4CAAI10wcHBEhoaKuvWrZNjx47Jy5cvxd/fX5KTk5U0LVq0kAsXLsju3btl9+7dcuHCBQkKCvqMQyQiIiIiIiLKXFQA8NlvVqkkNDRU6tev/940Z86ckXLlysndu3clX758EhMTI7lz55aVK1dK06ZNRUTk/v374ujoKDt37pSaNWvK1atXpUSJEnLy5Enx9PQUEZGTJ09KhQoV5O+//5aiRYum2U98fLzEx8crr2NjY8XR0VFiYmLE3Nz8cw9RL/IP2qHX/d2ZWEev+yMiIiIiIvoexMbGioWFxUfFoTrvMx4TEyMqlUpy5swpIiLnzp2TxMREqVGjhpLG3t5eXF1d5fjx4yIicuLECbGwsFACcRGR8uXLi4WFhZLmXRMmTFCatFtYWIijo6PuDoqIiIiIiIjoC+g0GH/z5o0MGjRIWrRooZQKREVFiZGRkVhaWmqktbGxkaioKCVNnjx50mwvT548Spp3DR48WGJiYpS/iIgILR8NERERERERkXYY6mrDiYmJ0qxZM0lJSZF58+b9Z3oAolKplNep/39fmtSMjY3F2Nj48zNMREREREREpCc6qRlPTEyUwMBAuX37tuzbt0+jrbytra0kJCRIdHS0xnsePXokNjY2SpqHDx+m2e7jx4+VNERERERERERfK60H4+pA/MaNG7J//36xtrbWWF+mTBnJmjWr7Nu3T1n24MEDuXTpklSsWFFERCpUqCAxMTFy+vRpJc2pU6ckJiZGSUNERERERET0tfrkZuovX76UmzdvKq9v374tFy5cECsrK7G3t5fGjRtLeHi4bN++XZKTk5U+3lZWVmJkZCQWFhbSvn176devn1hbW4uVlZWEhIRIyZIlxdfXV0REihcvLrVq1ZKOHTvKwoULRUSkU6dO4u/vn+5I6kRERERERERfk08Oxs+ePStVq1ZVXvft21dERFq3bi0jR46Ubdu2iYiIm5ubxvvCwsLEx8dHRESmT58uhoaGEhgYKHFxcVK9enVZtmyZGBgYKOlXr14tvXr1UkZdDwgISHducyIiIiIiIqKvzRfNM56Zfcr8bhmN84wTERERERF9/TLVPONEREREREREpInBOBEREREREZGeMRgnIiIiIiIi0jMG40RERERERER6xmCciIiIiIiISM8YjBMRERERERHpGYNxIiIiIiIiIj1jME5ERERERESkZwzGiYiIiIiIiPSMwTgRERERERGRnjEYJyIiIiIiItIzBuNEREREREREesZgnIiIiIiIiEjPGIwTERERERER6RmDcSIiIiIiIiI9M8zoDFDmkn/QDr3t687EOnrbFxERERERUWbCmnEiIiIiIiIiPWMwTkRERERERKRnnxyMHzlyROrWrSv29vaiUqlky5YtGusByMiRI8Xe3l5MTEzEx8dHLl++rJEmPj5eevbsKbly5RJTU1MJCAiQyMhIjTTR0dESFBQkFhYWYmFhIUFBQfL8+fNPPkAiIiIiIiKizOaTg/FXr15JqVKlZM6cOemunzx5skybNk3mzJkjZ86cEVtbW/Hz85MXL14oaYKDgyU0NFTWrVsnx44dk5cvX4q/v78kJycraVq0aCEXLlyQ3bt3y+7du+XChQsSFBT0GYdIRERERERElLl88gButWvXltq1a6e7DoDMmDFDhg4dKg0bNhQRkeXLl4uNjY2sWbNGOnfuLDExMbJkyRJZuXKl+Pr6iojIqlWrxNHRUfbv3y81a9aUq1evyu7du+XkyZPi6ekpIiKLFi2SChUqyLVr16Ro0aKfe7xEREREREREGU6rfcZv374tUVFRUqNGDWWZsbGxeHt7y/Hjx0VE5Ny5c5KYmKiRxt7eXlxdXZU0J06cEAsLCyUQFxEpX768WFhYKGneFR8fL7GxsRp/RERERERERJmRVoPxqKgoERGxsbHRWG5jY6Osi4qKEiMjI7G0tPxgmjx58qTZfp48eZQ075owYYLSv9zCwkIcHR2/+HiIiIiIiIiIdEEno6mrVCqN1wDSLHvXu2nSS/+h7QwePFhiYmKUv4iIiM/IOREREREREZHuaTUYt7W1FRFJU3v96NEjpbbc1tZWEhISJDo6+oNpHj58mGb7jx8/TlPrrmZsbCzm5uYaf0RERERERESZkVaD8QIFCoitra3s27dPWZaQkCCHDx+WihUriohImTJlJGvWrBppHjx4IJcuXVLSVKhQQWJiYuT06dNKmlOnTklMTIyShoiIiIiIiOhr9cmjqb98+VJu3rypvL59+7ZcuHBBrKysJF++fBIcHCzjx4+XwoULS+HChWX8+PGSPXt2adGihYiIWFhYSPv27aVfv35ibW0tVlZWEhISIiVLllRGVy9evLjUqlVLOnbsKAsXLhQRkU6dOom/vz9HUiciIiIiIqKv3icH42fPnpWqVasqr/v27SsiIq1bt5Zly5bJgAEDJC4uTrp16ybR0dHi6ekpe/fuFTMzM+U906dPF0NDQwkMDJS4uDipXr26LFu2TAwMDJQ0q1evll69eimjrgcEBLx3bnMiIiIiIiKir4kKADI6E7oQGxsrFhYWEhMTk+n7j+cftEOv+7szsc571+kzLx/KBxERERER0dfmU+LQT64ZJ9IHFgoQEREREdG3TCdTmxERERERERHR+zEYJyIiIiIiItIzBuNEREREREREesZgnIiIiIiIiEjPOIAb0QdwIDkiIiIiItIF1owTERERERER6RmDcSIiIiIiIiI9YzBOREREREREpGcMxomIiIiIiIj0jME4ERERERERkZ4xGCciIiIiIiLSMwbjRERERERERHrGYJyIiIiIiIhIzxiMExEREREREekZg3EiIiIiIiIiPWMwTkRERERERKRnDMaJiIiIiIiI9IzBOBEREREREZGeaT0YT0pKkmHDhkmBAgXExMREnJ2dZfTo0ZKSkqKkASAjR44Ue3t7MTExER8fH7l8+bLGduLj46Vnz56SK1cuMTU1lYCAAImMjNR2domIiIiIiIj0TuvB+KRJk2TBggUyZ84cuXr1qkyePFl++eUXmT17tpJm8uTJMm3aNJkzZ46cOXNGbG1txc/PT168eKGkCQ4OltDQUFm3bp0cO3ZMXr58Kf7+/pKcnKztLBMRERERERHplaG2N3jixAmpV6+e1KlTR0RE8ufPL2vXrpWzZ8+KyNta8RkzZsjQoUOlYcOGIiKyfPlysbGxkTVr1kjnzp0lJiZGlixZIitXrhRfX18REVm1apU4OjrK/v37pWbNmtrONhEREREREZHeaL1mvFKlSnLgwAG5fv26iIj8+eefcuzYMfnxxx9FROT27dsSFRUlNWrUUN5jbGws3t7ecvz4cREROXfunCQmJmqksbe3F1dXVyXNu+Lj4yU2Nlbjj4iIiIiIiCgz0nrN+MCBAyUmJkaKFSsmBgYGkpycLOPGjZPmzZuLiEhUVJSIiNjY2Gi8z8bGRu7evaukMTIyEktLyzRp1O9/14QJE2TUqFHaPhwiIiIiIiIirdN6zfj69etl1apVsmbNGgkPD5fly5fLlClTZPny5RrpVCqVxmsAaZa960NpBg8eLDExMcpfRETElx0IERERERERkY5ovWa8f//+MmjQIGnWrJmIiJQsWVLu3r0rEyZMkNatW4utra2IvK39trOzU9736NEjpbbc1tZWEhISJDo6WqN2/NGjR1KxYsV092tsbCzGxsbaPhyiTCH/oB1629ediXX0ti8iIiIiou+V1mvGX79+LVmyaG7WwMBAmdqsQIECYmtrK/v27VPWJyQkyOHDh5VAu0yZMpI1a1aNNA8ePJBLly69NxgnIiIiIiIi+lpovWa8bt26Mm7cOMmXL5+4uLjI+fPnZdq0adKuXTsReds8PTg4WMaPHy+FCxeWwoULy/jx4yV79uzSokULERGxsLCQ9u3bS79+/cTa2lqsrKwkJCRESpYsqYyuTkRERERERPS10nowPnv2bPn555+lW7du8ujRI7G3t5fOnTvL8OHDlTQDBgyQuLg46datm0RHR4unp6fs3btXzMzMlDTTp08XQ0NDCQwMlLi4OKlevbosW7ZMDAwMtJ1lIiIiIiIiIr3SejBuZmYmM2bMkBkzZrw3jUqlkpEjR8rIkSPfmyZbtmwye/ZsmT17trazSERERERERJShtB6ME9G3iwPJERERERFph9YHcCMiIiIiIiKiD2MwTkRERERERKRnDMaJiIiIiIiI9IzBOBEREREREZGeMRgnIiIiIiIi0jMG40RERERERER6xmCciIiIiIiISM8YjBMRERERERHpGYNxIiIiIiIiIj1jME5ERERERESkZ4YZnQEiok+Vf9AOve3rzsQ6etsXEREREX0/WDNOREREREREpGcMxomIiIiIiIj0jM3UiYg+E5vLExEREdHnYs04ERERERERkZ4xGCciIiIiIiLSMzZTJyL6yrG5PBEREdHXhzXjRERERERERHqmk2D833//lZ9++kmsra0le/bs4ubmJufOnVPWA5CRI0eKvb29mJiYiI+Pj1y+fFljG/Hx8dKzZ0/JlSuXmJqaSkBAgERGRuoiu0RERERERER6pfVgPDo6Wry8vCRr1qyya9cuuXLlikydOlVy5syppJk8ebJMmzZN5syZI2fOnBFbW1vx8/OTFy9eKGmCg4MlNDRU1q1bJ8eOHZOXL1+Kv7+/JCcnazvLRERERERERHql9T7jkyZNEkdHR1m6dKmyLH/+/Mr/AGTGjBkydOhQadiwoYiILF++XGxsbGTNmjXSuXNniYmJkSVLlsjKlSvF19dXRERWrVoljo6Osn//fqlZs6a2s01ERERERESkN1qvGd+2bZuULVtWmjRpInny5BF3d3dZtGiRsv727dsSFRUlNWrUUJYZGxuLt7e3HD9+XEREzp07J4mJiRpp7O3txdXVVUnzrvj4eImNjdX4IyIiIiIiIsqMtB6M37p1S+bPny+FCxeWPXv2SJcuXaRXr16yYsUKERGJiooSEREbGxuN99nY2CjroqKixMjISCwtLd+b5l0TJkwQCwsL5c/R0VHbh0ZERERERESkFVoPxlNSUqR06dIyfvx4cXd3l86dO0vHjh1l/vz5GulUKpXGawBplr3rQ2kGDx4sMTExyl9ERMSXHQgRERERERGRjmi9z7idnZ2UKFFCY1nx4sVl06ZNIiJia2srIm9rv+3s7JQ0jx49UmrLbW1tJSEhQaKjozVqxx89eiQVK1ZMd7/GxsZibGys1WMhIqKPp8/5zkU45zkRERF93bReM+7l5SXXrl3TWHb9+nVxcnISEZECBQqIra2t7Nu3T1mfkJAghw8fVgLtMmXKSNasWTXSPHjwQC5duvTeYJyIiIiIiIjoa6H1mvE+ffpIxYoVZfz48RIYGCinT5+WX3/9VX799VcReds8PTg4WMaPHy+FCxeWwoULy/jx4yV79uzSokULERGxsLCQ9u3bS79+/cTa2lqsrKwkJCRESpYsqYyuTkRERERERPS10now7uHhIaGhoTJ48GAZPXq0FChQQGbMmCEtW7ZU0gwYMEDi4uKkW7duEh0dLZ6enrJ3714xMzNT0kyfPl0MDQ0lMDBQ4uLipHr16rJs2TIxMDDQdpaJiOgbklmay2eWfBAREVHmpPVgXETE399f/P3937tepVLJyJEjZeTIke9Nky1bNpk9e7bMnj1bBzkkIiIiIiIiyjha7zNORERERERERB/GYJyIiIiIiIhIzxiMExEREREREekZg3EiIiIiIiIiPdPJAG5ERESUeehzZHeO6k5ERPRxWDNOREREREREpGcMxomIiIiIiIj0jME4ERERERERkZ4xGCciIiIiIiLSMwbjRERERERERHrG0dSJiIhILzLLqO6ZJR9ERPR9YzBORERElAEyS6FAZskHEdH3hs3UiYiIiIiIiPSMNeNERERElOEySw19ZskHEX37WDNOREREREREpGcMxomIiIiIiIj0jME4ERERERERkZ6xzzgRERERUSbDvutE3z6d14xPmDBBVCqVBAcHK8sAyMiRI8Xe3l5MTEzEx8dHLl++rPG++Ph46dmzp+TKlUtMTU0lICBAIiMjdZ1dIiIiIiIiIp3TaTB+5swZ+fXXX+WHH37QWD558mSZNm2azJkzR86cOSO2trbi5+cnL168UNIEBwdLaGiorFu3To4dOyYvX74Uf39/SU5O1mWWiYiIiIiIiHROZ8H4y5cvpWXLlrJo0SKxtLRUlgOQGTNmyNChQ6Vhw4bi6uoqy5cvl9evX8uaNWtERCQmJkaWLFkiU6dOFV9fX3F3d5dVq1bJX3/9Jfv379dVlomIiIiIiIj0QmfBePfu3aVOnTri6+ursfz27dsSFRUlNWrUUJYZGxuLt7e3HD9+XEREzp07J4mJiRpp7O3txdXVVUnzrvj4eImNjdX4IyIiIiIiIsqMdDKA27p16yQ8PFzOnDmTZl1UVJSIiNjY2Ggst7Gxkbt37yppjIyMNGrU1WnU73/XhAkTZNSoUdrIPhEREREREZFOaT0Yj4iIkN69e8vevXslW7Zs702nUqk0XgNIs+xdH0ozePBg6du3r/I6NjZWHB0dPyHnRERERESUmj5HdRfhyO70fdF6MH7u3Dl59OiRlClTRlmWnJwsR44ckTlz5si1a9dE5G3tt52dnZLm0aNHSm25ra2tJCQkSHR0tEbt+KNHj6RixYrp7tfY2FiMjY21fThERERERJTBWChA3yKtB+PVq1eXv/76S2NZ27ZtpVixYjJw4EBxdnYWW1tb2bdvn7i7u4uISEJCghw+fFgmTZokIiJlypSRrFmzyr59+yQwMFBERB48eCCXLl2SyZMnazvLRERERERE/ykzFQpklrnoM0s+vkZaD8bNzMzE1dVVY5mpqalYW1sry4ODg2X8+PFSuHBhKVy4sIwfP16yZ88uLVq0EBERCwsLad++vfTr10+sra3FyspKQkJCpGTJkmkGhCMiIiIiIiL62uhkALf/MmDAAImLi5Nu3bpJdHS0eHp6yt69e8XMzExJM336dDE0NJTAwECJi4uT6tWry7Jly8TAwCAjskxERERERESkNXoJxg8dOqTxWqVSyciRI2XkyJHvfU+2bNlk9uzZMnv2bN1mjoiIiIiIiEjPdDbPOBERERERERGlj8E4ERERERERkZ4xGCciIiIiIiLSMwbjRERERERERHrGYJyIiIiIiIhIzxiMExEREREREekZg3EiIiIiIiIiPWMwTkRERERERKRnDMaJiIiIiIiI9IzBOBEREREREZGeMRgnIiIiIiIi0jMG40RERERERER6xmCciIiIiIiISM8YjBMRERERERHpGYNxIiIiIiIiIj1jME5ERERERESkZwzGiYiIiIiIiPSMwTgRERERERGRnjEYJyIiIiIiItIzrQfjEyZMEA8PDzEzM5M8efJI/fr15dq1axppAMjIkSPF3t5eTExMxMfHRy5fvqyRJj4+Xnr27Cm5cuUSU1NTCQgIkMjISG1nl4iIiIiIiEjvtB6MHz58WLp37y4nT56Uffv2SVJSktSoUUNevXqlpJk8ebJMmzZN5syZI2fOnBFbW1vx8/OTFy9eKGmCg4MlNDRU1q1bJ8eOHZOXL1+Kv7+/JCcnazvLRERERERERHplqO0N7t69W+P10qVLJU+ePHLu3DmpUqWKAJAZM2bI0KFDpWHDhiIisnz5crGxsZE1a9ZI586dJSYmRpYsWSIrV64UX19fERFZtWqVODo6yv79+6VmzZrazjYRERERERGR3ui8z3hMTIyIiFhZWYmIyO3btyUqKkpq1KihpDE2NhZvb285fvy4iIicO3dOEhMTNdLY29uLq6urkuZd8fHxEhsbq/FHRERERERElBnpNBgHIH379pVKlSqJq6uriIhERUWJiIiNjY1GWhsbG2VdVFSUGBkZiaWl5XvTvGvChAliYWGh/Dk6Omr7cIiIiIiIiIi0QqfBeI8ePeTixYuydu3aNOtUKpXGawBplr3rQ2kGDx4sMTExyl9ERMTnZ5yIiIiIiIhIh3QWjPfs2VO2bdsmYWFh4uDgoCy3tbUVEUlTw/3o0SOlttzW1lYSEhIkOjr6vWneZWxsLObm5hp/RERERERERJmR1oNxANKjRw/ZvHmzHDx4UAoUKKCxvkCBAmJrayv79u1TliUkJMjhw4elYsWKIiJSpkwZyZo1q0aaBw8eyKVLl5Q0RERERERERF8rrY+m3r17d1mzZo1s3bpVzMzMlBpwCwsLMTExEZVKJcHBwTJ+/HgpXLiwFC5cWMaPHy/Zs2eXFi1aKGnbt28v/fr1E2tra7GyspKQkBApWbKkMro6ERERERER0ddK68H4/PnzRUTEx8dHY/nSpUulTZs2IiIyYMAAiYuLk27dukl0dLR4enrK3r17xczMTEk/ffp0MTQ0lMDAQImLi5Pq1avLsmXLxMDAQNtZJiIiIiIiItIrrQfjAP4zjUqlkpEjR8rIkSPfmyZbtmwye/ZsmT17thZzR0RERERERJTxdD7POBERERERERFpYjBOREREREREpGcMxomIiIiIiIj0jME4ERERERERkZ4xGCciIiIiIiLSMwbjRERERERERHrGYJyIiIiIiIhIzxiMExEREREREekZg3EiIiIiIiIiPWMwTkRERERERKRnDMaJiIiIiIiI9IzBOBEREREREZGeMRgnIiIiIiIi0jMG40RERERERER6xmCciIiIiIiISM8YjBMRERERERHpGYNxIiIiIiIiIj1jME5ERERERESkZwzGiYiIiIiIiPQs0wfj8+bNkwIFCki2bNmkTJkycvTo0YzOEhEREREREdEXydTB+Pr16yU4OFiGDh0q58+fl8qVK0vt2rXl3r17GZ01IiIiIiIios+WqYPxadOmSfv27aVDhw5SvHhxmTFjhjg6Osr8+fMzOmtEREREREREn80wozPwPgkJCXLu3DkZNGiQxvIaNWrI8ePH06SPj4+X+Ph45XVMTIyIiMTGxuo2o1qQEv9ar/v70DnRZ16YD+aD+WA+vsT78sJ8pPU9XiPMB/PBfHx9+RDJ/PfUzJIPke/zGvkaYjt1HgH8Z1oVPiZVBrh//77kzZtX/ve//0nFihWV5ePHj5fly5fLtWvXNNKPHDlSRo0ape9sEhEREREREWmIiIgQBweHD6bJtDXjaiqVSuM1gDTLREQGDx4sffv2VV6npKTIs2fPxNraOt30X7vY2FhxdHSUiIgIMTc3Zz6Yj0yZj8yUF+aD+WA+mA/m49vLC/PBfDAfzEdmA0BevHgh9vb2/5k20wbjuXLlEgMDA4mKitJY/ujRI7GxsUmT3tjYWIyNjTWW5cyZU5dZzBTMzc0zxUXMfDAf/yWz5IX5YD6YD+aD+dCezJIX5oP5YD6Yj8zEwsLio9Jl2gHcjIyMpEyZMrJv3z6N5fv27dNotk5ERERERET0tcm0NeMiIn379pWgoCApW7asVKhQQX799Ve5d++edOnSJaOzRkRERERERPTZMnUw3rRpU3n69KmMHj1aHjx4IK6urrJz505xcnLK6KxlOGNjYxkxYkSapvnMB/ORmfKRmfLCfDAfzAfzwXx8e3lhPpgP5oP5+Jpl2tHUiYiIiIiIiL5VmbbPOBEREREREdG3isE4ERERERERkZ4xGCciIiIiIiLSMwbjRERERETfOA4TRZT5MBgn0oGYmJiMzgIRkdakpKQo//OBnujrpFKpNL7LRJTxGIzTd+/Vq1da3d6UKVOkfv36cuvWLa1ul4jSYmCoe4mJiZIly9vHhZSUFFGpVBmco8wn9XXIYIdS27Nnj0RHR2doHubPny+VK1cWEZEsWbJkimtUn/fuKVOmyKxZs/S2v8xq+vTp8u+//2Z0NugdDMa/MeqbG2tmP87KlSulRo0a8uzZM61ts2bNmnLq1CkJCQn5agLy7z2gUR9/YmJiBufk/TLDw1NmpA4MdXHPu3z5siQlJWl9u58qI7+fe/bskQ0bNoiISMeOHaVmzZoZlpfMKCYmRl69eiUqlUp27twpFy5cUAouKHPQdoH7p/j111+lUaNGsn79+gx7LktJSRFra2uJiIiQevXqiUjGBuSnT58WEdFbod6rV6/k33//lYEDB8qiRYv0ss//8u49XR+fRUxMjKxevTpDvw+UPv5ifEMAiEqlkl27dknTpk2VG56+8/C1ePnypfz222/SuHFjsbKy0so2ExMTpWTJknL+/Hk5ePCg9O/fX65fv66VbevChQsXROTtj6K+Pjv1fl68eCFPnjxJd50+qb8327Ztk6lTp2bKoDclJUV5wD99+rRcvHhRo3Rb1+cts54TtSlTpkiLFi3kxo0bWtv+xo0bJSAgQAwNDbW2zf9y7do16du3rzRr1kwmTpwo4eHhIqLf72dqKSkpMmvWLBkzZozUrVtXQkNDZfr06XrPx6fQ53l69OiRFC9eXLZv3y6rVq0Sf3//TFMAmxm/s/py4MABuXnzpoiIDBs2TFatWiXJyckZkpdOnTpJq1atZOrUqbJmzZoMqSHPkiWLBAQEyOzZs+XGjRtSp04dZbm+r5M9e/ZIt27d9Fo7a2pqKiEhIdKvXz8JCQmRBQsW6G3f76MuiJg7d67cvXtXLwV4FhYWcvLkSSlSpIgcP35cIiIidL5PXfqa4o3/BPqmbNq0CTly5MDo0aNx6tQpAEBKSorO96vex5MnT/Dy5Us8fvxYb/v+HAcPHkSzZs3QvHlzPHz4UGvbTU5OBgC8fPkSK1euhEqlQuvWrXHz5k2t7UNbYmNjkTt3bvTp00dv+1RfD1u3boW3tzecnJzg7++PKVOm4PXr13rLx+7du3Hp0iWNZUFBQZg6dare8vCxUn+HQkJC4OjoCDMzM9SpUwerVq1KN5029hcZGYlbt27h33//1cp2tUn9PQOAM2fOYMyYMVCpVGjXrh1u3bqllX3ExsbC1tYWv/zyi1a2918uX74MCwsL+Pv746effoKtrS0qV66scU1m1P20WLFiyJIlCyZOnJjheUnP69ev8fLlywzZ94ABA5A9e3ZkyZIFv/76a4bk4V2pvx/r1q3DjBkzMGDAANy5cwdv3rzRyT4vX76MsLAw7N69G1FRUTrZx8eIjIyEj48PPD090a5dOxgaGuLixYsZkpfU57pTp05wcXHB3Llz8fz5c73lISUlBUlJSQCACxcuYObMmVCpVGjRooWSJvX1omuXLl1Cjhw5sHTpUr3sL/WxXbhwASEhITAwMMDq1av1sv8PefjwIUqXLo2xY8cC0N899c2bNyhcuDBKlCiBiIgIvexT29Tn6n//+x8WLlyIfv364eLFi3j27FkG5+zzMBj/hly/fh1OTk6YP3++xvKrV6/qdL/qL8Uff/yBqlWrwt3dHW5ubli3bp1O9/u5EhMTMW/ePFhZWSFv3rxITExUlmvDxo0bYWlpiT59+sDLywvZsmVD/fr18c8//2hl+58rJSVF42afmJiI2bNnw9fXF8eOHdNbPnbu3Ins2bNj4sSJ+Ouvv9CyZUtYW1tj9+7dOt93SkoKrl69ChMTE3Tq1AnXrl1T1lWvXh2TJk3SeR4+RerP68iRIyhatCiOHTuGzZs3IygoCGXKlMGiRYvSTf8l+wsNDUWxYsXg6uoKW1tbhISE4Pz581+0bV3o378/HBwcMHz4cDRr1gwmJiZo2LDhFwfk8fHxSEpKwsCBAxEYGIjXr1/r9EEpISEBrVq1Qvv27ZVld+/eRZcuXTQe1gD9PLCpH2BTUlIQGxuLH3/8EVWrVoWbmxtWrVqFuLg4AFAe8vWVr/Rs3boVVatWhaenJ0aMGKGzYPNd6nN08eJFqFQqZM2aFWvXrs2wQoH0qL8fjRs3hpeXF/LkyYNly5Zp7bdObdOmTbCzs0OlSpVgZ2eHWrVqYfny5Vrdx6cICwtD3rx5YWxsjG3btgHQ3u/7x0r9fVi2bBkmTpwIY2Nj2NjYYN68eYiJidFrfn7//XcULlwYbdu2hYuLC0xMTFC3bl1lvS4D8uTkZI1CgTFjxqBChQqIjIzU2T7fFRoaCi8vL9SrVw9GRkYwMjLKFIVn3bt3R4UKFZTX+rqP3r17Fy4uLvDw8MC9e/f0sk9t27RpEywtLdGoUSNUqVIFzs7O6N+/P2JjYzM6a5+Mwfg3JCwsDEWKFAHwtmZ23rx58PHxgZGREQIDA3VaYrR9+3Zky5YN06dPx9GjR9GrVy+oVCqcPn1aZ/v8Eo8fP8bChQuRLVs2dOvWTVme+uHyYyQkJGi8vnv3LvLmzYtZs2YBeHtj/d///gczMzPUr18/U9SQnzlzRimZv3nzJry8vBASEgJA9z/IcXFxaNKkCUaOHAkAeP78ORwcHNCzZ0+NdLq2bt06ODk5oWvXrrhy5QoAoFatWli8eLFGHt4twMgoGzduRPv27ZXzBrytierUqRNKly6t5FsbDh48CDMzM8yaNQsJCQmYPHkyVCoV1q9fr7V9aMPx48dhZWWFw4cPaywzNTVFo0aNPqvwK3XhDAAcPnwYRkZG+OOPP744v//Fz88P7dq1A/D/D2T3799HcHAwypcvr9EKQpdSf/82b96MGzduKK/r16+PkiVLYtWqVRotWfQd6KgdOXIE5ubm6NmzJ/r06YMcOXKgadOmePDggd7y8OLFC5w9exaDBg2CkZERFi9enG5Ars/aRwBYv3498ubNq9QKHzlyBCqVClu3btXqfk6dOgVra2ssWLAAALBnzx6oVCpMnz5dq/v5GOpzHB4ejtKlS8PT0xNVqlTB33//DeDTf9+1YcSIEciZMydWr16N5cuXo169enoPyG/evIk8efJg1qxZSExMRGxsLJYsWYICBQogICBASaera/TdoHv37t0oWrQoTpw4obP9pt5meHg4jI2NMX/+fERFReHUqVPo0qULcuTIoVGYrUvvO8ZHjx7BwcEBM2fO1Nm+1b8nf//9N86cOYMjR44AACIiIr7agPzy5ctwcnJSWli8fPkSKpUKY8aMydiMfSYG49+QyMhI5MqVCzVq1ICrqyvq1auHwYMH4+jRo1CpVFi7dq1O9puYmIjmzZtj1KhRAN4GpAULFkSnTp000mV0UHPv3j1cunQJ9+7dU36U586dCwsLC/Tt21dJ97E/2OPHj8fatWs1juvOnTtwcnLCoUOHNLZ17NgxGBsbo0OHDjpvqfAhly9fhkqlQvHixREaGoqYmBgcPnwYKpUKe/fuBaD7z6latWoICwtDZGQk7O3tNa6THTt26LQAJ/Wx/f7773BwcEDHjh1x5coVNGjQAPv27Uvznoyu6YqIiICvry8sLS3RpUsXjXVXrlxB586dUbZs2S/+MVc/LAQHByufyd27d1GoUCGNz0if3Qk+5MiRI3BwcMCdO3cA/H9AuH//fhgaGqJDhw6fFJCvW7cOBQoUQOvWrXH+/Hm8evUKwNuai7p16+Lp06faPwi8vUckJCSgbdu2aNCgAeLi4pCSkqJ8Hnfv3kXt2rU1Hpp1JfX3Y8CAAShcuDCmTJmCR48eKcsDAgLg5uaG3377DQ8fPoS3tzeaNGmi87y969atW1i7dq1Ga5Zz584hZ86caNy4sc6aSqvPUUREBK5fv67xkN27d28YGRlh6dKlyn1j9uzZuHDhgk7yorZ9+/Y0tUEzZ85EmzZtAACrV6+Gubk55s2bB+BtAYK6K9mXmjdvHurUqQMA+Oeff+Ds7Kxxv9BH7ee7v9lv3rzBixcvsGfPHvj5+aFixYpKQK6m60A4JSUFT548UZqmp9amTRtYWlpi/vz5iI6O1tn+1f766y/kyZNH4xy8ePECCxcuRNasWdGqVSud5AF4W6CnUqnQv39/7NixQ1netGlTlC9fXusFJKlbZKq3vWbNGpQsWVJp0QMAt2/fRseOHWFkZKTXVpzr16/H9evXlby8efMGPXr0QGBgoNKCQJtSt3bLnz8/ihcvDhMTE7Rp0wb379/HvXv3lID8a2qyfuzYMaVFwdWrV5EvXz506NBBWX/jxo0MKyT+HAzGv1Kp+3VGRkYqNToHDhxAixYtMHz4cNy8eVO5GH19fbFp0yat7x8A4uLiULRoUezcuRPPnz9H3rx50alTJyXNwoULldrHjLJ582YULlwYxYsXR4ECBdCuXTv8+eefiI+Px/z582FtbY3+/ft/0jY7deqk9DtWP5D9+++/MDc3V7oKJCcnIzk5Ga9fv0apUqWgUqnw008/palR15eXL1+iVKlSyJIlCzp06ICWLVti165dGDt2LMqXL68ENrqQlJSE+Ph4lC9fHm3btlUKbNTX6NOnT9G0aVMsXrxYpwUCqX/8169fD0dHR3Tt2hW2trbInTs36tatixo1aqBKlSrw9fVFhw4dNH7EdU197KnPwbFjxxAQEAAnJyeEhoZqpL969SoCAwPRtm3bzzpv6vfEx8cDABo0aIDffvsNcXFxsLe3R+fOnZU0v//+e7oFFrqW3nH9/fffMDQ0VB6k1A8yUVFRcHZ2hoGBwSc9ZF68eBGbNm2Cm5sbPDw84OPjgxMnTmD69OkoV66cEthrqxbn3YfQQ4cOwcDAQKNQRb2v06dPQ6VS6a2rwJgxY2BtbY0TJ06k+0DTtGlTFC5cGM7OzihdurRy7ejLw4cPYWBgACMjI43WIsDbgNzCwgLNmjXT2XgHGzduRPHixWFtbY3AwEBs2LBBWRccHIzs2bNj0KBB6Ny5MwwMDPDXX3/pJB8AsGHDBqhUKsyaNQsvXrxQlnfr1g2NGzdWWmapA3HgbQHBsGHDtPKwOmrUKPTo0QOvX79WfvvV1+2OHTswd+5cpWBLF1J/H0NDQ7F27VqNlix//PEH/Pz8ULlyZSUYbdmypV6a0cfExKBEiRJKq4HUvyPlypVDsWLFMHnyZI3PTZu2bduGGTNmIDIyEvny5UvTLPvJkycoVKgQVCoVGjdurJM83LlzBytXrkTVqlVRvHhx1KhRAwcPHsTmzZtRr149HDx4EIB27qsREREwNjZGjRo1NJbv2LEDOXLkwJ9//qmx/PDhwzAwMIBKpcKSJUu+eP//JSoqCpaWlihbtixq1aqF8PBwJCUl4dKlSzAyMtLZb+uePXuQM2dOLFy4EPHx8di5cydUKhWaNm2KiIgI3Lt3D25ubihUqJBeuw58iRUrVqBUqVKIjo6Gk5MTOnbsqFxD+/fvR58+fbQ6HpSuMRj/CqkfTLds2YKyZcuiWLFiKFSoEAYOHJhu2p9//hn29vZaD7T27NmD//3vfwCADh06oFu3bnBwcECXLl2UH/nY2Fi0aNECs2bN0nszPbVDhw4pzW4BYPr06TA0NFRuvs+fP8eCBQugUqkwdOjQ/9zesmXLsHLlSuV1WFgYli9frtRMDBs2DPb29mmatgYHB2Pbtm1pSuj14dGjR0rT9FOnTuHHH3/EmDFjsGDBAuTKlQuVKlVC8eLFMXv2bK2VVKuv06dPnyI5OVkpgNi1axcsLS3h5uamkX7o0KEoWLCgzvrWq/Pzbp/S1atXw9bWFq6urmjTpg1WrFiBWbNmYcSIEZg6dapeB/9J/R2JiYnReIg9efIk6tevDx8fnzRNTe/cuaPRtP5T97Vr1y7Mnj0bwNvavUKFCindB9Sfm7oFzJAhQ/Ra4pw6n+quNuprtHfv3nByctKocXn+/Dl69uyJP/74A4aGhh/10J16H0lJSdixYweCgoJQsGBBNGvWDCqVSqM/95e6du0apkyZgvv372ssnzJlCrJkyZKm6eSVK1fg4uKSphm9LkRFRcHb21vplnDv3j3s378frVq1wrhx45R027dvx8aNG5XPQt+1ENu2bYO1tTUaNWqk1EKrr/3w8HBl8Ext17xduXIF+fPnx/Tp07Fq1SpUr14dPj4+GoHOzz//DB8fH3h5eemlAGXs2LEwNDTEzJkzld+hEydOoGDBglCpVBrX06tXr+Dv748ePXp89v7u3r2rfN7r16+HSqWChYUFQkJCNL5LnTp1QlBQkE6C8UaNGmHAgAHK6379+sHc3BzFihVD1qxZERwcrKzbvn07atWqhdy5c8PLywuOjo5aLxB/331XXTOvpt5v06ZNYWdnhxYtWuik8Pns2bPIlSsXli9fjqdPn6JJkyaoU6eORreely9fokWLFli2bBlu376t1f2/+727f/8+Lly4gFq1asHHxwd58+aFSqVSushpy+HDh5EvXz7Url1bWXbt2jWUL18eISEhGs/B//zzD+rXr4/x48fr5LksvWfely9fYtOmTWjYsCHy5MmDBg0aYMWKFWjfvj1atGih9ZZ4MTEx6NSpk9Jy9datWyhYsCAaN24MCwsLBAQE4M6dO7hz5w4qVKigtQFQtSn1ff3o0aMA3h5XkSJFoFKp0LVrV430ISEh8PX11VlrNl1gMP6V2rNnD0xMTDB//nz8888/WLhwIVQqlTJYCfB2oKwWLVrA1tYW4eHhX7S/a9euKbUfycnJeP78OUqUKIE9e/YAePsQaWZmhipVqijNrlJSUjB48GAULFgwQ77g6i/wgAEDlAfpyMhIODs7azT3jYuLw6tXr7BkyZL/fNh9+fIlfH19Ub58eSWY/+mnn5A3b16sWrUK8fHxuHv3Ltq2bQsbGxtMnz4dW7duRd++fZEnT54MuTlcvnwZ9vb2GDhwIM6cOQPg7YPLiBEjALwdYfTHH3+ESqWCh4eHVmuBt2zZggoVKqBs2bKYNGmS0md+4sSJyJIlC5o0aYKuXbsiKCgIOXPm/OLr9H3U18Lu3bvRqFEjtG7dGkuXLlUeKDds2AAHBwd07949w/pOpX4gmzBhAipXroyyZcuiTp06SgHFyZMn0aBBA/j4+Gh819U+psBrx44dSomx+vi9vb0xY8YMAG+bNFaqVAl58+ZVCnASEhIwePBgODg44Pr16192oJ8g9TkZN24cvL294ePjgxUrVuDFixe4d+8eWrduDWtra4wePRoLFy5E9erV4enpicTERHh6emp0QXnXvHnz0L17d+Uh9cmTJxrr9+zZg5kzZ6JQoUIoWrSo0sXkSx6eb9y4ASsrK6hUKgwePFijufCrV68watQopWDw7NmzePz4MQYNGgRnZ2edNL1+95pJSkpC2bJl0bZtW4SFhaFBgwbw9PREnTp1YGhoiCFDhqTZRkb0xQXeDt5mZGSE3r17K4Vs6s/mzz//1PoD9uXLlzFq1CiNVlQ3b95EYGAgvL29NYLeR48e6byLS+rPbsyYMciSJQtmzpyJ169f4/nz5+jVqxeKFi2KkSNH4unTpzhx4gRq164NNzc35bv/qdfy1q1bUaFCBcydOxdJSUlISUlBz549YWxsjP379yMpKQlPnjzBoEGDkCtXLp20iktKSsKUKVOQNWtWjBkzBs+ePUO5cuXw559/4t69e9i4cSOyZ8+u0Ww1PDwc06dP1yhM1NZ1m/pzuHfvHu7fv6/cYy9dugQbGxs0aNBAI22zZs1w7NixTy5E/RjXr1/HL7/8olFY8eeff8Ld3R21atXCjBkzcObMGfTt2xcuLi5aH2Nh/vz56Ny5M5o3b45Nmzalqfk/d+4cpkyZgoIFC8LOzk7rA8gePXoUdnZ2GgH51KlTUaRIEQQHB+PkyZN4+vQpBg0ahKpVq+pkPKXU18Tu3buxdu1arF69WuOe8Mcff2DUqFEwNzeHiYkJcufOjbt376Z5/5eIj4/Hhg0bcPPmTTx9+hTu7u7K8/CaNWugUqlQu3ZtREZGZspm3ervxcaNG5EvXz706NEDd+7cQWJiIhYuXIgiRYogKCgIMTExOHv2LAYOHAgLCwudtkbSBQbjX6m+ffti0KBBAN7Wir0bYAJvv+h9+vT54j7KoaGhUKlU2Lhxo1KqGxcXB2dnZ41S1p49e6JIkSKoV68e+vTpg6ZNm8LS0jLDR2Fu37495syZg+fPnyt9lFNPsbVx40YAH/9jeP/+fTRp0gRVqlTB77//DuBtH7AiRYpg1apVSElJQUREBEaPHg1ra2sULVoUxYoV01mg+THGjRuHJk2awNnZGevXr8fOnTtRuHBhhIWFAXjb7HP9+vUagzV9qQsXLsDa2hpjx45Fq1atUKFCBTRp0kTZx969e/Hjjz+iXr166N27t8770h8+fBiGhobo3LkzypUrB09PT3Tr1k25plevXo38+fOjZcuWeqmBfJ+ff/4Z1tbWmDlzJiZNmoQKFSogT548SnO+o0ePonHjxnB1dVVKiT/WqVOnULx4cbRp00YJApOSklC6dGmlcCkxMRGrV69G2bJlkTdvXtSvX1+pVdLnNZz6+zhv3jxYWlpi+vTp8PX1RenSpTFgwABlGsWJEyciX758KFu2LGrXrq18pl5eXpg8eXK62x80aBBsbGzQrVs3NGvWDHny5Em3thp4+513dHTE+PHjv+iYXr58iXbt2qFNmzaYM2eO0pcydZ/s5ORkrFixAra2trC3t0exYsWQN29enZ/71OM1zJs3D25ubjA2NsaAAQOUa693794ICgrKkFZO4eHhCA0NxeLFizUeGkNDQ5WAXF1grIt+l8+fP0flypVhbm6ORo0aaay/ceMGAgMDUb16dcyZM0er+/4vqQPK0aNHawyeFhkZiaFDhyrTIf7www/w8/NTvh+fGoyGhobC2NgYs2bN0iiUu3nzJn766SeoVCq4uLigXLlyyJ8/v06v2fj4eCxYsABZsmRBUFAQ2rZtq9FdYvv27TA1NUXHjh3Tfb+2W4ABb+/dZcuWRa5cuVClShWlgHPHjh2ws7ND0aJF4e/vj9KlS6Nw4cJKHrT1fUpJScHTp0/h6OgIY2NjZcwAtYsXL6JVq1ZwcnKCo6MjChQooPXPaODAgciVKxcGDBiAevXqoWzZsu8d4frcuXOoVKkSFi5cqOT/c7373qNHjyJv3rzw9fVVlk2bNg2VK1eGkZERihcvjpw5c+r8+XTAgAFwcHBA9erVkTdvXlStWhWbN2/WSHP37l1Mnz4dxYsXR1BQkNbzoK5gWb16NSpUqKD0DV+7di18fHzg5OSkFAJkRmFhYciePTsWLVqkcR09ffoUixYtgrOzM3LmzInixYvD3d09w2OOz8Fg/CuUlJSEChUqYNq0aYiJiUnTR3v+/Pk4cOAAAGitL19gYCCsra2xefNmxMXF4fXr1yhevDiuXbumcROcO3cu2rZti6pVqyI4ODjD+oqfOnVKGaCld+/ecHR0hIODA3r16qUxlVlQUBAGDBjwUecpJSVFeYi5fPkyateuDU9PT2zZsgXA23mq1QG5enuPHj3C48eP9Tr3ofrziIuL0yiRvnPnDiZPngwjIyMMHDgQHh4eKFWqlFYH7Xh3Kq7UTQVXrVoFHx8fNGzYEJcvXwbw/zWzuh5N9ebNm5g8ebLycPTq1StMmjQJHh4e6NSpk/K5Llu2TCc1Be/zbs1ZZGQkXFxc0gwo07BhQ9jZ2SmtTg4cOIDBgwd/1gPlL7/8gsqVK6N9+/ZKEFi5cmXs3LlTSZOQkIC///4bQ4YMQefOnTFx4kStFtR8itOnT6NHjx4a3T5GjBgBDw8PhISEKN+tZ8+eaTQ9HThwIBwcHNKdwWDZsmVwcnLCuXPnALy9X6hUKtjb22Ps2LEafc3U2xw5ciRq1qz5RVNnvX79GnPnzlU+X3UT33cDcuDtAEOHDx/G7t27dd6P7++//4aNjQ1atWqlBFnPnj1LU7NcpUqVdLtD6drmzZthZ2eH0qVLw8HBAaVKlcLx48eVzyY0NBSmpqZo3769Tvuvnz17FtWrV0eRIkWU+77azZs3UatWLdSpU0fn80invre9e+8cMWKERkCemJiI58+f48CBA7hx44aS/lNrwf7991+4ubkphQ0JCQmIjY3F9u3blfvlzp07MX/+fGzevFlnLYxS3/PUAbm5uTnc3d3TpN2+fTvMzc0RGBiok7ykNmbMGFhZWSE0NBQrVqzAkCFDYGRkpIzu/PDhQ4SEhKBHjx7o27ev1mvnU//2hoWFoVChQsr3JLW4uDg8ffoUly9fTtMS6EstWbIEBQsWVO6r27ZtQ5YsWeDi4oJevXopv3ep79O9evWCp6fnF91XU7eG2bVrF7Zs2YLHjx/jyJEjKFiwIKpVq6akvXv3Lg4dOoQdO3bovBXckiVLYG9vj7NnzwIAFixYAAMDA6VFaeq8JyYmYtGiRfDy8tL656I2duxYuLq6Kr+ZgwYNwuzZszNsDKP/op7NZsCAAcpMI+r7lzrP6ll6du3ahatXr6b5Hf1aMBj/So0ePRpNmjSBnZ2dxgBLb968Qbt27fDzzz9/cZOT1atXa4wC27x5c1hYWGDDhg24desWSpYsmSkHe0hMTES+fPmUEX6fP3+OKlWqwNLSUglO1c1u7e3tP7oWVH2O169fj8DAQFSoUAEmJibInz+/UtKZOiDPiLkO1XlU95ErXbo06tSpgz179iijYJ86dUrJv0qlwrRp07RSk6TextGjRzF79mwMHjwYffr00UijDsibNGmiUXqpzZqsadOmaRQCXb16FVWqVEH+/Pk1gtwXL14oAXnXrl2Vh3h9TTdToUKFNH2Db9y4AWtra2UsBnWe4uPjUbRoUQwfPjzNdj72YS71Q/u0adNQsWJFtG/fHg8ePEDt2rWV2s+M1LdvX417zh9//IGiRYvCwcFBmaFAbeTIkfD09ES/fv00mm+fPXsWvXv3ho2NzXtrfRYtWqT0kQ8NDYWFhQVWrlyJoUOHwtjYGBMnTkxTSFWvXj34+fl9cbD3bgHMunXrlL6T6tYKiYmJOqupeN90fb///jtcXV3Rtm1bjfP24sUL/O9//0OtWrXwww8/6L0p48GDB2Ftba203Lh16xZUKhVKlSqFsLAwJT/r1q1Dnjx5tNaU/333pLNnz8LHxwf+/v7Yvn27xrpbt27p/Dcxdb7mz5+Pjh07ol+/flizZo2yfPjw4VCpVJgxY0a697NPLfxMSEjA8+fP4ezsjO3btyM5ORmjR49GxYoVYW5ujty5c6cZHEvX1AWTcXFxWLRoEQwNDZWuV6lt3LgR1atX12lrjpiYGFSvXl2p4QXefs9//fVX5MiRA6tXr073fdr4Lqmvh3dr2Q8ePIj8+fOjRYsWGr+1ujoPsbGx+P3335XfqNDQUFhaWmLmzJno378/rKysEBISolyP6nx37NgRtWrV+uLucRs2bIC1tTXc3NygUqlQqVIlzJgxQwnIU9eQ60v//v3Rq1cvAG/vTxYWFspAiq9fv1YKfdXn4vLly7C2ttZZi5Lz58/D2NgYXl5eqF69OszNzfX+vf0cDRo0QN26dZXXqe+BGdmKUZsYjGdy6ovu5cuXGg9xO3fuhI2NDdzd3ZXaizdv3mDIkCFwdHT84lqsf/75B8WKFUsz6Fvz5s2RO3du/Prrr8ifPz+aNGmCESNGYNKkSRgyZAj69eunNNXOyKnMtm/fjlKlSinNyPfs2QMXFxfY2dmhevXqqFmzJvLkyfPJN72TJ08ie/bsWLJkCf7++2/cuHEDPj4+8PDwUEa5btOmDfLkyaPX6TJS27FjB7JmzYp+/fph+vTpqFKlCkqVKqUxuM/Dhw+xY8cO+Pn5abVfZWhoKLJly4bixYvDwsICuXPnVmrB1dasWQN3d3cEBQVpvRbr6tWraNiwocYN+sGDB+jatSty586tlK6qvXr1ClOmTEGhQoWUWnx9Xbdr165VagNS1wq4uLho9HVMTExEfHw8vL290+2v+ylSB+7Tpk2Dl5cXAgMDYW5ujkqVKqFOnTqoV68eGjZsiJo1a6Jz586Ij4/XS7PkY8eOaQz+CLw9L926dYOlpSWCg4PTDAQ1evRoODs7K4E18LZGNzQ0NN1xKjZv3ozIyEilX+e9e/fg7u6OadOmAXjbHN3CwgKmpqZYsWIFgP+fosjd3V2r0+6p+9sCb68FdQ35v//+iz59+qBhw4Z4+fKlVq/HdwsY3g3U1KOEq2ebAN525WnWrBlq1ar12c2bP1dcXBxGjhyJn3/+GcDbYLdAgQLo2rUrKlasqHS1Ud9HtDUqtfqcHzlyBOPGjUPv3r1x4MABZfsnT56Ej48PfvzxR40WJbqW+loYMWIETE1N0apVK5QuXRolSpTQqAEeOXIksmbNinHjxn3RdIRHjx5F586dcezYMbRv3x4FCxZErly5EBAQgF9++QXPnz9HqVKl0K1bty86tv+S+h60cuVK5MuXT7nPJyQkYN68eTAwMMDo0aM/ahvaFB0dDRsbG4wdO1Zj+fPnz9GgQQMlINP2/tXXw/79+9G9e3e0bNkS48aNU4K8vXv3Kl2vdDm93tq1a9GxY0elr7y6FcWUKVMAvG3xZWdnB0dHR/zyyy8A3p6Lf//9F4UKFVJqjj9XeHg4cuXKhcWLF+PZs2d48OABWrVqhapVq2LOnDk4cuQInJycNAbS07Z379PJyckICAjAlClTcO7cOeTIkUNjlp1Zs2Zh+fLlGu+bPXs2rKysdFqgd/z4cfz000/o3r27MhtQZpWSkoLExET06tULXl5euH//vkah05MnT9ChQwecOnUqg3P65RiMZ2LqL+kff/wBb29vuLq6wsvLS6mFXbVqFZydnVGhQgX4+/sjICAAuXLl+uJSte3bt2s09bhw4YLS7Ah4OwqoumaiVq1a+Omnn9CsWTP4+fnB399fr6NPp3bs2DGl8CA6OhotWrRAq1atEBcXh+TkZDx9+hTjxo3DgAEDMHPmzM8atXvhwoUoVqyYRsFIZGQkKlWqBCcnJ2VQrS5duqTbPFaXUlJS8PLlS9SoUQODBw/WWNe5c2f88MMPSh9xtS99qE79QxIdHY0RI0ZgyZIlSE5OxtatW+Hr64sKFSqkuen//vvvOptGTV3gcPz4cSWgePz4Mfr164dSpUqleVh7+fIlZs2apddBBlOft9GjR2Pw4MFK07Q5c+agdOnSGvlMSUlB+fLlNUaz1oZffvkF5cuXh6OjI9q2bYvJkydj6NCh6NevH3r16pWmIEXX1OdlzZo1SlebhIQEdO3aFWXKlMGUKVPSBORLlixRruMPBa7qljCzZs1SgreTJ0/CxcVFCbIvXryIHj16YM6cOenOXaxtqecTX7duHbJmzYqiRYvC0NBQ6/3eunXrpjHw2MyZM9GjR480oyj//vvvyJMnD4KCgnD9+nUkJibi3Llzn928+UsdOHAAly5dQkxMDCpUqKAUVF24cAEGBgbIly/fJ4+d8CHqa2jTpk0wMzND8+bN4enpCS8vLwwYMEApwDh58iR8fX1RqVIljWan+nDx4kXUqVNHaS3y6tUrLF++HC4uLmjbtq2Srn///qhUqdIXFej89ttvyJs3L/r164d169Zh48aNmDdvHp48eaJst379+u8dm0EbUgexmzZtUsZbqFy5slLxoA7IDQ0N0wTF2pTeuUxJSUHHjh1Rv379NDV17du3R7169XSWH3UBeIcOHeDn54eyZctq9AHeu3cvChcujICAAJ09m40ZMwalS5dWfi/CwsJQoEAB5XV4eDiaNGmCX3/9NU2BhDYGOVy9ejVKlCiBmJgY5fN58OABmjdvDh8fH7x69QoHDx5EsWLFdNI0PfVvxT///KMUhqxevRomJiZQqVQaLVdevHgBPz8/jdl7UlJS9DZ7iy7mM9cGdZ4iIiLw+PFjpaXYlStXYGpqitatWysFysnJyRg2bBiKFSv2Vc2P/j4MxjMp9Q1r165dMDIywtChQ7Fo0SLUq1cPRYsWxaRJkwC8fVCZNGkSAgMDMXny5C9ushEVFQUnJye0bdtWmYfb3t4egYGBGg+H7du3h5mZmVbnLv8S6qaLDg4OmDFjBq5fv47Lly8je/bsWp1PdMWKFShcuLDSFFJdU3Tx4kXkyJEDxYsXTzMPtD4lJyejYsWKSiCXOoAoV64cmjZtqpX9vFsbdO7cOdjY2MDT0xMnT55Ulu/atUvpW6/rwC71j8vjx49Rs2ZNuLi4KD9uUVFRCA4ORrly5dIE5Bn5wzRz5kyoVCqMGzcOCQkJePbsGQYPHoyiRYvCx8cHISEh8PLyQokSJT4rEErdn27NmjX4448/ND6LX375BdWqVUPHjh11Pvrz+6Q+rtu3b8PDwwN+fn5KkBUfH4+OHTvCw8Mj3YAc+HDB0ujRo5ErVy6cPn1ao/vIoUOHYGdnh+XLl+PMmTPw9/dH8+bNP2qb2pK6FVG1atVgZWWlkweyLVu2KPer+Ph4LFu2DNbW1hg8eHCagrGRI0ciZ86caNSokUahZUZNTwm8fcAvXbq0Mkru//73PzRv3hw1atTQ+gj/x48fh6OjIxYvXgzg7XgbpqamKFKkCHr06KEE5EePHoW/v79eZ2CYN28eKlasCA8PD40atBcvXmDWrFkoXbq0RuGn+tr6knvc0qVLUaJECXTv3l2jkPnJkyf4+eefkTt3br1M2Tlw4EDY29tj2rRp6N69OwoVKgQXFxeNgFw9TenSpUu1vv/U139UVJTG575t2zYULVoUAwYMUM5FbGwsfHx80nTX0pZHjx6hVKlSGgUhf/31F/z8/FCgQAGlUmX37t0oVaoU/v33X63uP/XsMJ6enkrf7PDwcBQrVgwTJ07E1atX4e/vjzZt2qRpUg9o57d37dq1KFiwoDJ2gfr35Pbt21CpVEoXrC9pIZKeefPmaTwXDxo0CC4uLrC2tkb//v2xceNG9OjRA/b29jhw4ABev36NGzduoFatWihTpoxOx8z5Wm3evBnOzs4oVqwYKlasqHTZO3ToEMzNzVG+fHlUqlQJ9erV0+kMPPrGYDwTWbFiBebOnau8fvXqFQICAtLcyAcMGIBChQrprHncuXPnUK5cOXTo0AHR0dEICwuDs7Mz2rRpo3HhBwYGIleuXFizZo1Wp8P6HHFxcahZsyZMTEwwYsQIeHt7Y8uWLZgxYwbs7OyUQoovfTC5ceMGsmXLpjSbVDt79iy8vb3RvHnzDBuVUn1Dr169OurUqaMsV9cCDh06FL6+vl/843fixAnkzJkTDx48ULZ1+vRp1K1bF0ZGRmlqqXbv3o26detqTA2lD1u3bkXdunXh6emp1JCrA3IvL68MGYjq0KFDSmnviBEjlKbQc+fOhUqlwujRo5GSkoKYmBjs2LEDAQEBaNy4Mbp27fpZA/6kruWztbVF6dKl4eLigmrVqmkMiPbLL7+gUqVKaNKkicZUW/qmDrS2bduGH3/8EbVq1cKRI0cAvL2OO3XqhPLly2PEiBEfXVP99OlT+Pr6YtWqVQDetmQ5fPgw2rdvj02bNqFq1arInTu3Mhp7Rgxmk5SUhD59+kClUmm9D9+73/dly5ahdu3aiI2Nxfr162Fra4uBAwdq1JBPnz4d3t7eaN26td4fFA8dOoSQkBC0bdsWc+bMUe5fq1evhrW1Nf7++28kJSVh2LBh6NKli9bz9+bNG2zbtk3p0qKel7dNmzYYOHAgcufOjZCQEI0+y/p0/PhxFCxYEIaGhko3LLWbN2/C2Ng4zWjNn3rP/+eff9IEbr/99huKFi2Krl274saNGwgLC0OrVq10NtL/u4HT5cuXYWtrqzGl461bt+Dm5oaSJUsqBTLx8fEIDQ3VeguO1Odw+PDh+OGHH2Bra4sffvhBubesWrUKLi4uKFmyJPz8/FCuXDm4urp+9jRyH5KYmIjo6Gjkzp0be/fuVZYnJSXh/PnzKF26NGbPnq18P7Q91/vYsWNRs2ZN5fO4du0aihQpgmnTpiEpKQndunWDs7Mz7OzsUK5cOeW+qouCb/V1n7qmGXhbiObq6ooTJ05ofZ+3bt2Cg4MDOnbsiBs3bmDr1q3ImzcvQkNDMWrUKFSoUAFNmzbFxIkT0bt3bxgaGiJfvnz44YcfUKlSJb13+cnM1NfE7du3YWVlhdmzZ2PevHlo1qwZsmXLpszadOPGDUyYMAGdOnXCmDFjvpn+4gCD8UxDPX91hQoVNEp0vb29laAh9cNnzZo1dTogRXh4ONzc3NCuXTs8e/YMx44dg6OjY5qAvE6dOnByctJaX71PdffuXaV0+s6dO/jhhx8watQobN++HZaWlvD394eNjQ369OmjtVq/lStXImvWrBgyZAhu3bqFZ8+eYdiwYWjdurXeBv8C/v8G9vDhQ7x69Ur5DE6cOAFTU1P07t1bI33Lli3RtGnTL35IiY+PV0rEU98Mz507hxo1asDGxiZNLcm2bdvQpEmTNE1itSF139s3b95o9EPfsWOHUjOfOiDv0KEDfH199Rp43r17F56envD19UWXLl1gYGCgEXjNnj1bCcjfV4L/OZ/dwYMHkTt3bqWgb8uWLTAzM0PhwoWxfv16Jd3o0aNRs2bNdKf20ocdO3YgX758Sm3f5s2bUbNmzTQBeZMmTdChQ4ePfqh79uwZ7O3tMXToUBw+fBhNmzZFuXLlUKZMGTg4OGDp0qU4ffo0Tpw4oTwY6bspdlJSEhYvXqyXKVnmzZsHT09PtGjRArGxsVi7di3s7OwwYMAAnDp1CgkJCWjYsCE2bNignGN9BeSbN2+GhYUFWrZsiWHDhkGlUqFVq1Z4+fIlEhISUKJECeTKlQtly5aFhYWF1oPAs2fPokuXLoiIiMD169cRHx8PPz8/pel3fHw88ufPD1tbW/Tt21fnzT3fd97Pnz+PwoULa3w3gLe/BUWLFv2i1lnPnj2DnZ0dhgwZkuZesGTJEmTNmhV9+vTBr7/+imXLlumkO5aXlxfWrl2rsezs2bOwtLRUCnTV5+bixYuwtLSEj4+P0opDl9/jcePGwdraGqtWrcK+ffvQokULlChRQukLffz4cSxYsAAdO3bEhAkTNGZv0Rb1dfrw4UN4enqmGUskJSUF5cqVQ48ePTSWaUtSUhICAwOhUqlgamqKwYMHIzw8HEOGDEFgYCDu3buH169f488//8SRI0f0cl9dtWoVjIyMMHjwYNy4cQMPHz5UpvXTdosAtfPnz6NMmTIIDg5G3759lZY0AJRuek2aNMHevXtx6dIl/P777wgLC8uwLj+Z2eHDh7FixQoMGzZMWRYREYGgoCAYGRkpXSy/1XPGYDwTUc9f7ePjg19//RUA8NNPP6FcuXJKGnWgMWHCBFSuXFmnpWqpA/Lo6GiNgDz1Q2NGjaj+zz//oESJEmjatCn27dsH4G2T3y5duijNgbp37w4zMzMUKVJEa6Obp6SkYPXq1ciRIwfy588PZ2dnWFlZafSr15fQ0FCUKVMGRYsWRY8ePZSBLH777TeYmprCz88PwcHBaNOmDUxNTZWax0+V3kPh7du3YWhoiL59+yrLzp07hx9//BGOjo5pAnJtN4FOPcc98HZshZo1a6JOnTqYMGGCsjx1U3l189+HDx9qbdTlT7F9+3bY2NggW7ZsStO51DVr6oB8/PjxWikoUA+Aph6cLiIiAvnz50fDhg3RsGFDODs7a9SQp252qGvpXVMuLi4a/Su3bNmCmjVronbt2kqLi4SEBOW9H/uAuXjxYlhaWsLc3BwDBgxQ7hfNmzfX6GMLZFxNhT67SixbtgxeXl5o2rQpYmNjsWHDBpQsWRJ2dnYoXLgwXFxcdFKb9yF3795F0aJFlcH4Xrx4gZw5c6JPnz7KZ/L69WuMGDECU6ZM0Umz6FmzZqFkyZI4c+YMgLd9FYsVK6bca+7du4d69erh559/1nnT9NTfj8OHD2Pjxo04fPiw0h/1xIkTKFSokDKWxIYNG1C3bl0UK1bsi6/hsLAw5M+fH6NGjUoTyLi7u8PKygqDBw/WWbeWefPmpRncMjExEY6OjhgwYIBG2ujoaJQrVw4WFhZwc3NTlmv7ulWPO1O+fHmNFozA2775BQoUeO/YBdq+p8yePVup8e3bty88PDzSdBls0KABhg0bprPBdA8ePIhWrVph3rx5qF69Orp06YLAwEDkz58fM2fOTJNe1/fVlJQUrFmzBmZmZsiXLx+KFCkCBwcHnT+XnTt3DmXLloWlpaUynaDatm3bUK1aNdSvXz9N7TxrxP9fbGwsAgICoFKp0kxDGBERgVatWsHU1DRTzPiiKwzGM4H05q8uX748Nm3ahCtXrsDJySlNX982bdogICBAp3OqAunXkDs7O6NRo0ZKrV5G9LdVB9br169Hly5dYGJigsmTJ2PDhg2oVq2aUuP3/PlzHD9+XCeDc92+fRtbt27FunXrdFLj+1/++usv5MyZE5MnT8bAgQPh5+eHypUrK31szp07h3r16qFOnTpo2rTpZwfiavfu3VOaRa5duxYtW7bErFmzYGJiolEyf/bsWfz4449wdnbWWT/xCxcuQKVSKfsNCwuDiYkJOnXqhFatWsHY2FgjyNq1axf8/f1RtGhRvY8gmvqh+vjx4yhWrBhKlSqF2rVrKzVPqb/H6ibry5Yt08r+r169iqNHjyImJgZlypRRBsDatm0bjIyMYGVlhQ0bNmhlX5/jr7/+Uvo2njhxAkWLFlVGnQX+v8m6h4eHxojAn1pbe/fuXY2+xcnJyahevXqapo3fstT36qVLlyoB+bNnz3D9+nWsWbMG8+fP1/ocyB/j2rVrSsHz7du3YW9vj06dOinrdTFirvp8pG7C6+Pjg0qVKgH4/wKCCRMm4PHjxxgxYgT8/PyUeXr1oX///nByckLevHlRpEgRjXvYqVOnULRoUeUhNvUAfV/62R09ehQODg4YPXq0cp96/fo1unTpgrFjx+rkN/XdZ4kpU6Zg2rRpyvmeMGECSpcurcx+oM7TTz/9pOT33cFLtZmfxMREFC9eXLk/pW6tWKFCBSWQ0PYzUXrXaZUqVeDv74/ExETUr18fHh4eCA4Oxu+//44ePXrA3Nxc693Cpk2bppz75ORktG3bFm3atMGbN2+wYsUKdOjQASqVCiqVKsMG8r1z5w52796NHTt26G1gr4sXL8LZ2Rl+fn5pjnvHjh1wdXXFoEGDAGTs+DSZ2alTp9CkSRPkyJFDmZpWfa4iIyPRoEED5MmTB69fv/4mzyGD8UzgffNXFypUCIsWLcKmTZvg5OQEd3d3dOjQAS1atICpqanebnbv1pCHhYXB1dVVZ01//sv27dsRFBSkBJ3qvo8ODg7o3LkzXF1d4ejoqNfRsfXtr7/+wrhx4zTmnT5w4ADq16+PihUrphk1/Uv7wSYkJKBZs2aoWLGi0rdV3Z1i8eLFMDQ01AjIw8PDUalSJbi6uiIhIUHrN883b97g119/RbZs2TBy5Ehs27YNU6dOBfD2gWn37t0wNzdH69atlfds3bpVZ03l3yd1wHjlyhU8fPgQT548wbZt21C5cmX4+fkpg86ktm3bti8arO3KlSs4cuSIxndg37598PDwUAbrUo8GPWDAgM+aWUAbVq5cCZVKhU6dOmHXrl0A3o763bRpU42axw0bNqBPnz5aaS794sULZeCtkiVLfrPN3t7n3YC8UqVKaNq0qXKtpDfIkj6Eh4fDyckJW7duRYECBdCpUyfls7lw4QKqV6+ukzlxd+3ahebNm2P37t0A3j74FSxYEGPGjAEA9OzZEwULFoSjoyNsbGz02gJqyZIlsLKywvHjx/Ho0SMcPXoUAQEBsLS0VFoGXLhwAUWKFEGbNm00at+0cc89evQo8ufPjx49emDNmjUYOnSoMmq1rk2dOhW5cuWCSqXCnDlzkJKSgvv376N3794oUqQIGjVqpIx14eHhgbi4ONSoUQMdO3bUyv5Tn7+1a9dizpw5AN52zatcubKyTl2Q2rVrV7Rs2VIr+05Petdpvnz5MHv2bMTFxWHw4MEoX748ChcujMqVK2u9y0t8fDzGjBkDAwMDNGvWDPv370dSUhLc3NyUlmhJSUno27cv/Pz8vrua3wsXLsDd3R0dO3ZMU+D/v//977s7Hx+i/m69fv1aozXe9evX4efnh7x58yoVOeq09+/fz7CYQx8YjGcS6c1f7e3tDW9vbyxevBg3btxAly5d0KBBA7Ru3VrvtXvh4eEoW7YsAgMD8fz5c62PSvmxNm3aBFNTU4wcOTLNCLp//vknBgwYgGrVqkGlUqFv377f1A1QfVO6desW/P39kStXLqX5sZo6IK9SpYoS3KR+75eIjo6Gp6cnVCoVunbtqiyPi4tLNyC/cOGCVptypheILViwANmyZUPu3Lk1akuAtwPHmZmZacwtrs/RwlPn9+eff0bJkiWV5tEpKSlYv349KleujFq1ailN5lu3bq1RS/05gWJoaChMTU1RsGBBGBsbY8GCBUhMTMSuXbtgbm6uFNQMHjwYbdq0wfPnz7/gKD/NuwMobtq0CQ4ODmjWrBmKFi2KcePGYd++fbCystKoHU/tSwLylJQUhIWFwd/fHzVr1vxuB9FJfT/47bffULlyZY2AXF+uXLmCo0eP4tatW0hOTkZgYCBy5MiBBg0aaKQbMmQIKlasqPWuJeopqVQqFSwtLTF8+HD8888/GDdunDJN1evXr7F//35s2rRJ7y2g+vbtizZt2mgsu337ttIdRz1OyOnTp1G4cGE0btxYow+5Npw5cwaVK1eGo6MjihcvrrPCiNTf67Vr1yrTc40aNQoqlUpp+vzo0SOsXbsWFSpUgI+PDxo1aqQExHXq1NFKDWTqvFy6dAnu7u5wc3PD5s2blUIjdS24+t5RsWJFZT5xbfvQdVqvXj2lYCY5ORmPHj3S6e/cpUuX0KBBA5QvXx7t2rXDqlWr0LBhQ6Vrhzq/wPd3Xw0PD0fp0qXRsWPHdFsFfm/nIz3qa2Pbtm2oWbMmChQogGbNmin97S9fvgx/f384ODgoLTu+xZrwdzEYzyTSm786IiIClSpVQsGCBTVGR82ompzTp0+jSpUqGTbA0+XLl+Ho6IjffvtNWZaSkoJr164pI9s+e/YMly9fRuPGjZWmLt+S7du3Y86cOVixYgU8PDxQpEiRNC0kwsLCUK1aNdSsWVOrhSYJCQmoVq0a3Nzc4Ofnp4wgC7wt4Vy8eDFMTEzSDBynTambyq9fvx4tWrTAkiVLYGFhoTS/Tm3v3r1pCg/0bciQIbC1tcUff/yhEUykpKRg8+bN8PLyQr58+eDj44O8efN+9vc7OTkZz549g5eXFxYuXIgbN25g/PjxUKlUmDBhAk6ePIlGjRrBwcEB5cuXR44cOXRS0/gx1IU0SUlJaNKkCerUqYPbt2+jdOnSGDBgANzd3WFubq6TUZrfvHmD8PDw734QndQPOMuWLUOVKlUwcOBAvHnzRi8PP+8WGq1cuRKLFy+Gu7s7AgICsH37dhw4cADBwcGwsLDQ2rX67rGdOnUKzZs3x9ixY1GuXDl07doVHTp0QPHixZUpRDNK9+7d8cMPP6RZPmvWLBQtWlSjVuncuXOwtrZGq1attD7Ce2xsLO7du6d0J9GlsLAwdOvWTaNwdeTIkUpAnrqVV+qgOSQkBDY2Nlqd5i4kJASNGjVCxYoVYWlpiWLFimHBggXYvHkz8ufPj6JFiyrdCosXL67Ve8mnXKfqweP05fHjxwgNDYWHhweMjY1hbW2NkSNHaqT5HgKo9ISHh8PDwwONGzf+pltnfont27cje/bsGDt2LI4ePYr69evDxsZGGXPh/PnzqFevHrJnz/5NjZj+IQzGM4n/mr/axcVF6UOakTe5jJzC7NSpUyhTpgz++ecfvH79GnPnzoW3tzcKFiyIqlWrfnNNWHbs2JGmX37jxo0xY8YMAG+b7np7e6NBgwZpHlSPHDmik/5Sb968wYMHD1CnTh1UrVoVK1eu1Fg/bdo02NjY6OShLXVT+eDgYKWpfEpKijLKb+qRONUOHDiglzlw03P58mUUKVIEe/bsAfD2ofbWrVtYunSpUohy5swZjBgxAn379v2i6cvi4uLw+vVrDBkyRKNP64wZM5AlSxbMmjULO3fuxPz58zFkyJAMOyebNm3CDz/8oJSEx8TEwMXFBcuXL0dsbCymTp0Kf39/qFQqjBgxQqd5+d7nd039WxISEoJKlSrpfBySlJSUNIVGY8aMgaGhIebOnYt58+ahadOmMDExQcmSJVGpUiWNsQK04cCBA8r1l5ycjB49eqBNmzaIiYlRRsJW9309fvy4Vvednvddh1u2bIGrqyt+++03jYLV3bt3o2TJkso9Xv3+8+fP62R0c3158OABChYsCDMzszQFISNHjoSBgQHmzJmjFL4Db1tg9ezZEwUKFNBq4d3SpUuRM2dOnDt3Ds+ePcODBw/g5+eHKlWqYOnSpYiMjMSwYcPQu3dvDB8+XCejpme26zQ9w4YNQ44cOeDj45Mh+8+MTp06hbZt2373vy/vSk5OxosXL1C3bl2MHz8ewNtuY/b29mlalZw/fx5NmzbVauFaZsZgPJP4mPmrdT16a2anHqClXbt2KFSoEOrVq4dBgwZh1apVKFy4MFavXp3RWdSaqKgoFChQAG3bttVo7uTt7Y2JEycqr9etW4dq1aqhXr16eh0w5Z9//kGdOnVQvXp1Za7s4cOHo3Xr1jodkftjmsqnF5BnlFOnTsHOzg5XrlzBsWPH0LNnT7i4uMDS0hIeHh5pRoQHPq8pm3rU8eLFi6NYsWJpCmemTZuGbNmyYcSIEXp/QHi38PDQoUP4+eefYWRkhKCgIBw8eBArV65E586d8c8//yAxMRFPnjzRmBaIdEf9+YwcORLOzs4677bwvkKjqVOnwtDQEDNmzMDDhw9x9+5dPH36VOv5SUpKwrhx45Rp044dO4aUlBS4u7srhT+xsbHo2bMn7O3tdf4wmPr7uHnzZsyZMwezZ8/G9evXkZKSglatWqF8+fKYPn06/v33X0RERKBGjRqoXbu2xnfrW3nw//PPP1GoUCFUqFAhTSHM6NGjoVKpsHHjRo3l+/bt0/rz0dChQ1GpUiUkJycr5zYiIgIeHh4oWLCgRh500Sw7s12n70p97Z05c0Y59u+1Rvxd+p4WMrNKSUlJcw68vLxw8uRJ3L17N81AnTt27FCeeVMPkPitYzCeiWSW+aszk0ePHmkMcLVs2TJ07doVw4YN06gB8PT0zNARoXXh3Llz8PDwQIcOHZSR0GvVqqUEv2qrV69GtWrVULVq1S8eMf1T3Lp1Cw0aNICrq6sy7+/Jkyd1us+PbSrfp08fneYjPe/70XVxcYGTkxNMTEzQvXt3bN26FVFRUXB0dFSmMPwSZ86cgbm5Obp27Yo2bdoga9as6N27tzJQm9qECROQM2dOvc6tnvqcvNuq5uTJk6hSpQp+/PFHVK1aFbVr18aSJUvSbIMBue6lpKTg999/13oN9Lv+q9Bo+vTpMDIywpAhQ3T+m/fnn3+iRo0a8PLyQu/evbFr1y7UrVtXY3qq1DWwuta/f3/Y2dmhcePGcHNzQ6lSpbB+/XrEx8ejdevWcHNzg6GhIUqVKoXSpUsrree+xYf9P//8E25ubujQoUOa8XF+++03nU67p97m6NGjUbZsWeW+pT7fYWFhyJ49O6pWrZpmLnRdyGzXaWrvnn/2idb0vRdMpJ5O+OTJkzhz5gzi4uJQqlQp9O/fH4UKFULHjh2V6+bhw4do2rRpmhaX3wMG45lIZpq/OjPYvHmzMpWLt7e3Ely8e8MfNmwY8uXLlyHTi+maekCQdu3a4a+//kKzZs2UQcBSmzt3Llq2bKm3qTzUIiMjsWTJEowaNUpvzZ4zsqn8+6R+IN6zZw82bdqE5cuXA3gbhK5evRphYWEa/R29vLw0xj/4HDdv3sTw4cM15lWfN28eHBwcMGjQoDQBuT6nZEp9TqZNm4ZmzZqhSpUqGDNmjHKtREREYNGiRcqgiyqV6rtplva9+dhCo4kTJ8LS0hJPnjzReZ6ioqKwcuVKuLm5IUeOHChQoIAyAJg+rV27Fg4ODjh9+jSAtwGnkZGRUsCclJSEiIgIbNy4EQcPHlR+A7/lgqr/GgxL18d+8eJFGBgYpOkLvXv3bjRq1AjVqlWDr6+vzrt1AJnnOiX6WFFRUcifPz8OHDiAPXv2wNjYGIcOHQLwtgIpW7ZsqFixosZ7hg4diiJFinyTz/L/hcF4JpTR81dnBhcuXECePHkwduxY/PbbbyhbtiycnZ1x5swZpbRxyZIlaN++PfLkyaOTgZ4yC/VI9q1bt0aOHDng7OwMX19f+Pn5wdvbG76+vujatWu6U2R9yzKqqfyHDBw4EPny5UPlypVhY2MDLy8vZQo+4O08sZGRkfjxxx/h5ub2RTUJMTExKFu2LHLlyqUxij0AzJkzB3nz5sXQoUM1BpHJiJL6gQMHwsrKCqNHj0ZgYCAqVaoEFxcXpVtFQkIC4uLi0L17d/j6+rJ25RuUmQuNgP+fkilbtmzIkyePRo2OPowZM0aZFuv333+Hubm5MptAbGxsugVU38P3JKMHw1q6dCmyZs2KAQMG4OzZs8pvzrhx43DlyhWoVKp0C8d1JaOvU6KPdefOHfTq1Qvm5uYwNjZWBqFOTk7G48ePMWzYMKW7Yf/+/dGuXTtYWFhofUq+rwWDccp0zp49iy1btmj0n09ISEDlypVRsGBBZQqNrVu3on379sr0B9+yc+fOoWTJknBzc0OLFi2wfPlyzJw5EyNGjMDYsWPTrTn4HmREU/n3+fXXX2Fra6v8mKxatQoqlQr79+8H8PZHaOnSpfDw8EDlypW1Mq1WeHg4ChcuDC8vrzRdFObPn49s2bJh1KhReq9BU9eKX7p0CUWLFtV4YD127BgaNGiAcuXKITIyUuN93+uUON+yzF5olHpfBw4cSFMwoG3pNSvv1asXBg0ahBMnTiBHjhxKIJ6SkoJly5Zh+vTpePXqlU7zlVll5GBYKSkp2LBhA/LkyQMHBwfkzZsX7u7uiIuLw507d1C4cGG9zUih7+uU6EuFhoZCpVLBxMREGcRWfR0/f/4c69evR5UqVeDn54dOnTp9t8+xAINxymTevHmDIkWKQKVS4aefftJYpw7ICxcujFOnTinpvxfnz59X+pDzh/j/ZURT+fT0798fAwYMAPC22amFhQXmzZsH4G1/9ri4OPz7779Yvny5VpuZqvtXdurUKU3/ysWLF+ut2XeLFi0wffp0jWUnT56Eqampxhy0wP+PBn3gwAEAmsH3997P7luUWQuN1PR1zaUOKG/cuIF///0XSUlJOHz4sNJNQz11I/C2JU2NGjUyZAyMzCSjB8OKjIzEiRMncOTIESUPgwYNQrFixfTaIo33RvoaqK/Tv//+G6tXr0bfvn1hbm6uUTv+7nf6W+5y8zEYjFOmc/fuXXh5eaFQoULKIG3qL25iYiJKliyJUqVKfVeBuFp4eDjKlSuHpk2bfpPzqH8t3n0oTEpKgq+vL8aNG4ezZ89q1G4lJydj/PjxytSEqd+jLer+lR06dMiQ0uUnT56gZ8+esLCwwMKFC5Xlt27dgpubGxYuXJhmfmAnJyeNmQHo25ZZCo0ySupAauDAgShSpAisra1RpUoVzJo1C7NmzYKxsTFWr16NO3fu4OLFi6hZsybc3Ny++wdVIPMEopcuXUJQUBCsra2/2ya1ROlRf0efPXumMajgrVu30LVrV5ibm2Pr1q3K8s2bNysF9Znl+51RGIxTpvD333/jzJkzOHLkCIC3Azu5urrCw8NDmbIkdUD+PdcMnz59Gt7e3rh//35GZ+W7d/XqVaX56NKlS5E3b14YGBgog7cBb+fRrFmzps6nXFMX1DRr1kyvXTdST/szbNgwmJmZYcGCBcr6xo0bw9XVFQcPHlSWPX/+HGXLltU4T/Tty+hCo4ySuvBu7dq1sLOzw5YtW7Bs2TIMGDAA2bJlQ6dOnTBr1ixky5YNdnZ2cHNzQ9WqVbXSnYW0IzExEeHh4ejXr1+aAiUiets0/YcffkCJEiXQuHFjZfaWu3fvolu3bsiRIwdmzJiBQYMGwczM7LsdF+tdDMYpw4WGhiJ//vwoXrw4TExM0KZNG9y/fx/37t2Di4sLPDw8lFHCv/fSM7V3p4ki/du0aRNy5MihTD908+ZNBAQEoFixYti5cyeAt01Ra9eujbJly+qldkvfBTXdunVD4cKFlWOLiIjA0KFDYWZmhrlz5yrpKlWqhBIlSqBLly6YMWMGqlevjpIlS7LG7zuUUYVGmUFYWBg6dOiAadOmKcueP3+OuXPnwszMDNu3b8c///yDQ4cOITw8nE04M6nUrXyI6K0zZ87A2toaP//8M2bMmIFChQrB3d1duc/fv38fQ4cOhaOjI8qWLYuzZ89mcI4zDxUACFEG2bt3rzRt2lQmTZokbdq0kQMHDkidOnUkMDBQpkyZIgAkICBAXr58KYcOHZK8efNmdJaJFPXr15e//vpLJk+eLI0aNZITJ07IrFmz5I8//hBra2vJmTOnmJmZSVhYmGTNmlWSk5PFwMBAp3l68+aNZMuWTaf7UDtx4oS0bt1abGxsJCwsTAwNDSUyMlIWLFggs2bNkvHjx0uPHj1ERGTQoEFy8eJFiYmJEWdnZ/ntt9/0dk4oczlz5oz0799f1q5dK3Z2dhmdHb2IioqSSpUqyaNHj2TgwIEydOhQZd3Tp0+lffv24ujoKLNnz9Z4X0pKimTJkkXf2SUi+mh//fWX3Lp1S/78808ZPny4iIg8f/5cKleuLIaGhrJ27VopVqyYiIg8evRIDA0NxcrKKiOznKkwGKcMExsbK/3795e8efPK8OHD5fbt2+Ln5yfu7u6yb98+8fb2llmzZomISPPmzWX16tVSoECBDM41fY8AiEqlSndd48aN5fTp0zJ9+nRp1KiRxMbGyt9//y3Xr1+XfPnyiZeXlxgYGEhSUpIYGhrqOee6d+7cOWnatKnY2NjI4cOH0wTkEyZMkO7du4uISFJSkrx580Zy5MihvP4Wzwn9N30WGmUWFy9elIYNG4qFhYUsXrxY3N3dlXUdOnSQyMhI2b17dwbmkIjo07x69UoKFSokDx8+lM6dO8v8+fOVdc+fP5dKlSqJiYmJ/Pbbb+Lq6vreZ6nvGYNxyjAJCQmybds2cXd3F0tLS/H19ZXSpUvL4sWLZe3atdKyZUupVauWLFq0SGxsbPjQThlu3rx5UqJECalSpYpGbVXDhg3l2LFjMn/+fKlVq5aYmppqvO9br/09e/asNGvWLN2AfPbs2TJ58mTp3Lmzxns+VMBB9K26ePGitGrVStzc3CQ4OFjc3NzkxYsXUrt2bSlevLgsWrQoo7NIRPRJLl26JM2bNxdjY2P5448/xM7OTvmNf/78ubi4uEjhwoVl7969YmRklNHZzXQYjFOGUteOrFmzRubMmSO///67ODg4yLp162ThwoVy+/ZtOXLkiOTLly+js0rfoXcDRnd3d3ny5ImsX79eypcvrxGQu7u7CwDp27evNGvW7Jv9wUmv2WxKSoqcP39emjRpInZ2dhoB+a+//ipjx46V0NBQqVevXgblmijzOH/+vPz000/y9OlT8fDwECMjI7l9+7acPHlSjIyMWFBFRJmW+v4UFxcnRkZGkpSUJMbGxnLp0iWpUaOGlCpVSlauXCm5cuVS0sbExMjTp0/F2dk5o7OfKbEjEmUodTPF27dvy4sXL5QaxT///FMaNWokN27cYCBOGSL1A/GaNWtk7dq1cv78eSlSpIi0bNlSTpw4IcnJyUraokWLyt27d2X79u3fbCCenJysBOKnTp2SPXv2yF9//SWvX7+WMmXKyMaNG+XBgwfi7e0tSUlJ4uDgIO3bt5cFCxZInTp1Mjj3RJmDu7u7rF+/XrJnzy4xMTHi5+cn4eHhYmRkJImJiQzEiShTUj8X7dy5U9q3by/ly5eXvn37yo4dO8TV1VX27t0rFy9elKCgIHn69KmoVCoBIBYWFgzEP4DBOGUKderUkRs3bkjdunXF19dX5s2bJ1WqVJGsWbNmdNboO5SSkqI8EF+6dEmmTJkiEydOlJ07d8qBAwckf/788tNPP8nx48fl9evXolKpJHv27HL8+HFZt25dBude+54+fSoiojS1HzhwoDRs2FC6dOkiZcuWlQ4dOsjBgweldOnSsnHjRnn48KFUq1ZNEhMTxcnJSTp16iSGhoaSlJSUkYdBlGm4urrK5s2bJSEhQcLDw+XmzZsiIvzNI6JMS6VSydatW6VRo0bi4uIi7du3l6dPn0pAQIBcvXpVCcivXLkidevW/b/27i4kyjQM4/g144waGTJ9UFCalFaaaCoKQkUUlSiWBhIlmAclSh8KfQhJGoKFZURiIVYYmhmmIIFhFhGURdGgJRRk1okKfSBYTs4U6R4sTrssy66bO6Pj/3f8HtzvczJzPe/z3LcGBgbYXPwXOKaOSePx48e6cOGC/P39lZOTo5UrV7q7JExzhw8fVk9Pj3p7e9Xd3S2LxaKzZ89q69at2rRpk968eaOQkBB9/vxZg4OD6urqkpeXl0d1QI6IiFBSUpJOnjwpSaqsrFRhYaEaGxsVERGh9vZ2lZeXy2w2q6CgQPHx8bJarVq3bp3S09NVWVnp5jcAJq+Ojg5lZ2dryZIlKioqcnYcBoDJZnBwUGlpaUpMTFReXp4+fvyoVatWKTU1VRUVFc7nnj9/rh07dqi1tZXTrf8CYRyTytgXSXbS4G41NTXKzc3V3bt3FRQUJIfDoczMTA0MDKioqEjJyckqLS3Vu3fv5OXlpXPnzslkMnlUEC8uLlZTU5M6Ojqc75STkyObzaaamhrnc/fv39fBgwe1fv16nT59WiMjI+ru7lZwcLBHN64DJsJ0HPUGYOr59OmT4uPj1dDQoPnz5ysuLk6JiYmqqqqSJDU1NSkiIkIhISH69u2bx17Zm2i0p8ak4ikhBlNfT0+PQkNDFRUV5dwgqq6u1rZt27R//345HA7l5+dL+tkt3dNGdQ0ODspkMsloNOrQoUMKCAjQ6OiobDabpJ/N3Ma+gpeUlOjo0aOyWCxavny5JM/vJA/8qtjYWLW2tk67UW8AJrexO+KdnZ2aM2eOLBaLgoKCZLVaVVJSosTEROcos97eXrW0tMhkMik4OJggPg4kHwD4g7HDQjNmzJDD4ZDdbpfBYND379+1cOFCnThxQh8+fFBFRYVzDJGnBfGxNUhNTdXw8LAiIyN18eJFbd++XTExMbp586ba29v/tHm2aNEiLVu27C9rQBAH/hlBHMBkMhbEm5ublZSUpKqqKvn5+Wnp0qXKyspSVFSUKisrnb/x58+f15MnTxQdHc3p1nHyjH+OADBBxn5EkpOTdezYMZWVlamwsNDZWMnhcGjz5s0yGo2qra2V2WxWZmamxwRx6ecarF69WoGBgWpra1NCQoIWLFigPXv26N69e9qyZYvq6uoUGhoqf39/Xbp0SXPnzpWfn5+bqwcAAL/CYDCopaVFO3fuVHl5uRISEiT93jfGZrPp9u3bKi0tldFo1Nu3b1VfX68HDx4oICDAzZVPPdwZB4C/ceXKFWVlZSk3N1dpaWmaPXu28vLyFB0drZycHOXl5enVq1fKz89Xenq6u8udcAMDA9q1a5fi4uJ0/fp1RUZG6tq1a/rx44d2796txsZGWSwWzZo1S97e3nr69KnMZjNzkgEAmMLsdrsyMjIUEhKikpISff36VX19fWpubtaKFSt0+fJlORwOvX//XuHh4Tpy5IjCw8PdXfaURBgHgL8xOjqqpqYm7d27V2azWQaDQfPmzdOjR4/k6+ur3t5eFRQUqLi4WIsXL3Z3uf+Lsdni1dXVOnXqlGJjY1VbWytJunPnjoaGhjQyMqKUlBSPO64PAMB0NDw8rLVr1yo+Pl7Hjx9XUVGRXrx4oe7ubnl7e+vAgQPKysqS0WiUyWTijvgvIIwDwD/o7+9Xf3+/hoaGtGbNGnl5eclut8vX13faNCiz2WxqaGhQaWmpYmJiVFdX95dnpstaAADg6WpqapSdnS2z2awNGzYoJSVFGRkZys3NVVdXl9ra2th8nwCEcQAYp+kaOm02m27cuKGysjIFBgbq1q1b7i4JAAD8T16+fKm+vj5t3LjROUFl3759+vLli6qqquTj4+PuEqc8tjMAYJymYxCXpJkzZyotLU02m03t7e0eNVMdAAD8WVhYmMLCwiRJr1+/Vm1tra5evaqHDx8SxCcIX8YBAONit9vl4+Mjg8FAIAcAwMNZrVadOXNGnZ2dqq+vV2RkpLtL8hiEcQDAf0LXdAAAPN/w8LCePXumoKAgxpdNMMI4AAAAAAAuxtlCAAAAAABcjDAOAAAAAICLEcYBAAAAAHAxwjgAAAAAAC5GGAcAAAAAwMUI4wAAAAAAuBhhHAAAAAAAFyOMAwAAAADgYoRxAAAAAABcjDAOAAAAAICL/QaUAgrfk0zFhAAAAABJRU5ErkJggg==",
"text/plain": [
"<Figure size 1200x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"combinations = [('request', 'test'), ('request', 'learn'), ('question', 'test'), ('question', 'learn')]\n",
"\n",
"# Iterate over each combination to filter data and create plots\n",
"for label_rq_value, label_tl_value in combinations:\n",
" # Filter the data based on the combination\n",
" combination_data = df_with_rqtl[(df_with_rqtl['label_rq'] == label_rq_value) & (df_with_rqtl['label_tl'] == label_tl_value)]['prompt']\n",
" \n",
" # Vectorize the text data for the current combination\n",
" combination_counts = vectorizer.transform(combination_data)\n",
" combination_word_counts = combination_counts.toarray().sum(axis=0)\n",
" \n",
" # Compute word frequencies for the current combination\n",
" combination_word_freq = [(word, combination_word_counts[idx]) for word, idx in vectorizer.vocabulary_.items()]\n",
" combination_word_freq = sorted(combination_word_freq, key=lambda x: x[1], reverse=True)\n",
" \n",
" # Filter out the excluded words\n",
" # histogram_excluded_words = ['write', 'answer', 'say', 'make', 'want', 'don', 'like', 'good', 'com', 'words','tell', 'hello', 'create', 'explain', 'use', 'using', 'used', 'uses', 'does','did', 'know']\n",
" histogram_excluded_words = ['don', 'hello']\n",
" combination_word_freq = [wf for wf in combination_word_freq if wf[0] not in histogram_excluded_words and not wf[0].startswith('name_')]\n",
" \n",
" # Select top N terms for plotting\n",
" top_n_words = 25\n",
" words = [wf[0] for wf in combination_word_freq[:top_n_words]]\n",
" counts = [wf[1] for wf in combination_word_freq[:top_n_words]]\n",
" \n",
" # Plot the histogram for the current combination\n",
" plt.figure(figsize=(12, 3))\n",
" plt.bar(words, counts)\n",
" plt.xticks(rotation=45)\n",
" plt.title(f\"{label_rq_value.capitalize()}-{label_tl_value.capitalize()} prompts: Top {top_n_words} Words\")\n",
" plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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