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/dev/null +++ b/README.md @@ -0,0 +1,77 @@ +--- +license: mit +language: + - en + - hi +tags: + - text-classification + - hate-speech-detection + - code-mixed + - hinglish + - bilstm + - lstm +datasets: + - pankajbiswas6/prism-hinglish-hate-speech +metrics: + - f1 + - accuracy + - roc_auc +--- + +# Code-Mixed Hinglish Hate-Speech Classification (BiLSTM / LSTM Track) + +**Contributor:** Pankaj Biswas (222025043), B.Tech CSE, RSET, The Assam Royal Global University. +Part of the group project *Developing a Sentiment Analysis Model for Code-Mixed Hindi-English +(Hinglish) Text* (Guide: Dr. Dillip Rout). + +This repository holds the complete artifacts for the **embedding + recurrent-network track**: +GloVe / Word2Vec / FastText embeddings with **BiLSTM** and **many-to-one LSTM**, trained on the +**PRISM** Hinglish hate-speech dataset across regular, language-wise, and multi-stage regimes. +Every phase below includes its notebooks, figures, result tables, and trained models. + +**Companion dataset repository:** [PRISM Hinglish Hate-Speech Dataset](https://huggingface.co/datasets/pankajbiswas6/prism-hinglish-hate-speech) + +## Pipeline + +![Methodology](figures/methodology_pipeline.png) + +## Best model + +| Model | Regime | Strategy | Accuracy | F1 | AUC-ROC | +|-------|--------|----------|----------|------|---------| +| **GloVe+BiLSTM** | multi-stage | combined | **0.8204** | **0.8041** | **0.9139** | + +Strongest model in this track; outperforms the transformer baselines in the same thesis table. + +## Model comparison (test set) + +| Model | Best regime / strategy | Accuracy | F1 | AUC-ROC | +|-------|------------------------|----------|------|---------| +| GloVe+BiLSTM | multi-stage / combined | 0.8204 | 0.8041 | 0.9139 | +| FastText+BiLSTM | langwise / english | 0.7524 | 0.7688 | 0.8251 | +| Word2Vec+BiLSTM | multi-stage / combined | 0.7305 | 0.6989 | 0.8091 | +| GloVe+LSTM | regular | 0.6779 | 0.5644 | 0.7532 | +| Word2Vec+LSTM | regular | 0.6675 | 0.5892 | 0.7294 | +| FastText+LSTM | regular | 0.6610 | 0.5729 | 0.7208 | + +Full tables: [`tables/`](tables/) (model comparison, six-variation sweep, hyperparameters, literature). + +## Training phases + +Each phase folder contains its own README plus the notebooks, figures, tables, and models for that step. + +| Phase | Focus | Contents | +|-------|-------|----------| +| [Phase 1](phase1/README.md) | Dataset split and FastText baseline | notebooks, figures | +| [Phase 2](phase2/README.md) | Hybrid baselines (monolingual) | notebooks, figures, tables | +| [Phase 3](phase3/README.md) | Scaled BiLSTM and language-wise strategy | figures, tables, models | +| [Phase 4](phase4/README.md) | Many-to-one LSTM and split-data hybrids | notebooks, figures, tables, models | +| [Phase 5](phase5/README.md) | GloVe+BiLSTM fine-tune and SHAP explainability | figures, SHAP, tables, models | +| [Phase 6](phase6/README.md) | Regular / sequential / multi-stage (six variations) | notebooks, figures, tables, models | + +## Full thesis + +This repository focuses on Pankaj Biswas's contribution. For the complete group thesis +(all 17 models, including the transformer and LLM tracks built by teammates): + +**[Read the full thesis](THESIS.md)** (with downloadable PDF). diff --git a/THESIS.md b/THESIS.md new file mode 100644 index 0000000000000000000000000000000000000000..d1c07f1ae672596bc7a524452305f6bf31e8200a --- /dev/null +++ b/THESIS.md @@ -0,0 +1,49 @@ +# Full Group Thesis + +**Developing a Sentiment Analysis Model for Code-Mixed Hindi-English (Hinglish) Text** + +B.Tech (Computer Science & Engineering), 8th Semester — Royal School of Engineering and +Technology, The Assam Royal Global University, Guwahati. Session 2022–2026. +Guide: Dr. Dillip Rout (Assistant Professor, CSE, RSET). + +**Authors:** Pulakala Prithvi Raj (222025042), Pankaj Biswas (222025043), Pritisha Goswami (222025049). + +**[Download the full thesis (PDF)](FinalThesisSP.pdf)** + +**Model repository (Pankaj Biswas's BiLSTM / LSTM track):** [code, figures, tables, models](README.md) +**Dataset repository:** [PRISM Hinglish Hate-Speech Dataset](https://huggingface.co/datasets/pankajbiswas6/prism-hinglish-hate-speech) + +> The [model card](README.md) covers only Pankaj Biswas's BiLSTM / LSTM track. +> This page describes the full group work; the transformer (MuRIL, mBART, HingRoBERTa, +> MPNet) and Sarvam LLM tracks were contributed by the other team members. + +## Abstract + +Code-mixed languages such as Hinglish (an informal infusion of Hindi and English) pose +significant challenges for sentiment analysis due to inconsistent grammar, transliteration +variations, and limited annotated resources. This study presents a comprehensive comparison +of classical machine learning, hybrid models, and deep learning architectures (including +transformers) for binary classification of Hinglish text. The analysis uses the **PRISM** +dataset of **29,550** Hinglish samples labeled non-hate (0) or hate (1), sourced from Kaggle. +Preprocessing removed URLs, mentions, and hashtags and normalized whitespace. **Seventeen +models** were implemented — Word2Vec, GloVe, FastText, USE, ELMo with both LSTM and LightGBM +for regular training, and GloVe+BiLSTM, FastText+BiLSTM, Word2Vec+BiLSTM, MuRIL, mBART, +HingRoBERTa-mixed, and MPNet for regular, language-wise, and multi-stage training (including +six multi-stage variations on GloVe+BiLSTM and MuRIL). Metrics: Accuracy, Balanced Accuracy, +Precision, Recall, Specificity, F1, and AUC-ROC. Multi-stage results show **MPNet** reaching +the highest F1 (0.720) and AUC (0.820), and **MuRIL** the highest accuracy (0.724) in the +Hinglish->Hindi->English->Full variation. Classical models performed worse, though GloVe+BiLSTM +outperformed the Word2Vec and FastText baselines and, in the multi-stage combined strategy, +reached F1 0.804 / AUC 0.914. The findings emphasize the value of multiple model evaluations +for robust hate-speech classification of low-resource, code-mixed social media data. + +## Contents + +- Chapter 1 — Introduction +- Chapter 2 — Literature Survey +- Chapter 3 — Methodology (dataset, preprocessing, splitting, models, hyperparameters, metrics) +- Chapter 4 — Results and Discussion (Tables 4.1–4.11) +- Chapter 5 — Conclusion and Future Work +- References + +For the complete document with all figures and tables, download the PDF above. diff --git a/figures/class_distribution.png b/figures/class_distribution.png new file mode 100644 index 0000000000000000000000000000000000000000..27a285e06be03e2bc3dc0b8614cb2d6263569496 Binary files /dev/null and b/figures/class_distribution.png differ diff --git a/figures/language_distribution.png b/figures/language_distribution.png new file mode 100644 index 0000000000000000000000000000000000000000..a0e79e05fdbffe9dc9cfb98a78f64d06b8eb85c5 Binary files /dev/null and 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card](../README.md) | [Dataset repository](https://huggingface.co/datasets/pankajbiswas6/prism-hinglish-hate-speech) + +## Setup +- Goal: establish a clean, reproducible data foundation and a first embedding baseline. +- Dataset: PRISM (combined_hate_speech_dataset, Kaggle), 29,550 raw Hinglish samples. +- Preprocessing: lowercase; remove URLs, mentions, hashtags; normalize elongated words and + whitespace; drop duplicates, giving 29,506 clean rows with 5 retained features. +- Split: stratified 70/30 holdout; the 70 percent pool split 60/10 into train/val, with + language-wise class balance preserved across all subsets. +- Embedding: FastText (subword). + +## Findings +- Near-balanced classes (non-hate 53.5 percent / hate 46.5 percent) but skewed by language + (English 50.8, Hindi 33.0, Hinglish 16.2), motivating the later language-wise strategies. +- Subword FastText embeddings handle Hinglish transliteration noise better than word-level + lookups, setting the baseline for the hybrid models. + +## Files +- Notebooks: [`notebooks/`](notebooks/) - Dataset_Split, Fasttext +- Figures: [`figures/`](figures/) - accuracy/loss curves, confusion matrix, ROC diff --git a/phase1/figures/accuracy_curve.png b/phase1/figures/accuracy_curve.png new file mode 100644 index 0000000000000000000000000000000000000000..80e2c9f6c11218ced7d052114a299639b46eacfe Binary files /dev/null and b/phase1/figures/accuracy_curve.png differ diff --git a/phase1/figures/accuracy_plot.png b/phase1/figures/accuracy_plot.png new file mode 100644 index 0000000000000000000000000000000000000000..0b90516b15513af70ca1cdb7c86cd909054eeaae --- /dev/null +++ b/phase1/figures/accuracy_plot.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4ca5774cd50026fff5003cd6d0e28a047bce89cee98569ebba9890bec6dd3e43 +size 132017 diff --git a/phase1/figures/confusion_matrix.png b/phase1/figures/confusion_matrix.png new file mode 100644 index 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Aur mere lye sab se Pehly Paki... 0 \n","2 Doctor sab sahi me ke PhD (in hate politics) ... 0 \n","3 Poore Desh me Patel OBC me aate Hain sirf gujr... 0 \n","4 Sarkar banne ke bad Hindu hit me ek bhi faisla... 1 \n","\n"," source profanity_score language dataset_version combined_date \\\n","0 hate_speech_tsv 0 hinglish v1.0 2025-09-11 \n","1 hate_speech_tsv 0 hinglish v1.0 2025-09-11 \n","2 hate_speech_tsv 0 hinglish v1.0 2025-09-11 \n","3 hate_speech_tsv 0 hinglish v1.0 2025-09-11 \n","4 hate_speech_tsv 0 hinglish v1.0 2025-09-11 \n","\n"," text_length word_count \n","0 126 25 \n","1 196 41 \n","2 166 29 \n","3 257 49 \n","4 140 25 "],"text/html":["\n","
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texthate_labelsourceprofanity_scorelanguagedataset_versioncombined_datetext_lengthword_count
0Knowing ki Vikas kitna samjhata hai Priyanka a...0hate_speech_tsv0hinglishv1.02025-09-1112625
1I am Muhajir .. Aur mere lye sab se Pehly Paki...0hate_speech_tsv0hinglishv1.02025-09-1119641
2Doctor sab sahi me ke PhD (in hate politics) ...0hate_speech_tsv0hinglishv1.02025-09-1116629
3Poore Desh me Patel OBC me aate Hain sirf gujr...0hate_speech_tsv0hinglishv1.02025-09-1125749
4Sarkar banne ke bad Hindu hit me ek bhi faisla...1hate_speech_tsv0hinglishv1.02025-09-1114025
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"df","summary":"{\n \"name\": \"df\",\n \"rows\": 29550,\n \"fields\": [\n {\n \"column\": \"text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 29539,\n \"samples\": [\n \"silence betrays the innocent activism hunger no fur animal rights cousin eah wildlife vegan lgbt\",\n \"no other asians being welcome at my engagement party\",\n \"two aboard gone\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"hate_label\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"source\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"profanity_list\",\n \"english_dataset\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"profanity_score\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 10,\n \"num_unique_values\": 11,\n \"samples\": [\n 4,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"language\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"hinglish\",\n \"hindi\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"dataset_version\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"v1.0\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"combined_date\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"2025-09-11\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"text_length\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 189,\n \"min\": 1,\n \"max\": 1926,\n \"num_unique_values\": 1191,\n \"samples\": [\n 752\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"word_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 34,\n \"min\": 1,\n \"max\": 300,\n \"num_unique_values\": 291,\n \"samples\": [\n 128\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":4}]},{"cell_type":"code","source":["# Text column name\n","TEXT_COLUMN = \"text\"\n","\n","# Hindi Unicode pattern (Devanagari)\n","hindi_pattern = re.compile(r'[\\u0900-\\u097F]')\n","\n","# Common Hinglish words\n","hinglish_words = {\n"," \"hai\", \"nahi\", \"kya\", \"kyu\", \"kyon\", \"bahut\", \"bohot\",\n"," \"acha\", \"accha\", \"theek\", \"yaar\", \"bhai\", \"kar\", \"karo\",\n"," \"ho\", \"hoga\", \"tha\", \"thi\", \"raha\", \"rahi\", \"rahe\",\n"," \"mat\", \"tum\", \"mera\", \"meri\", \"apna\", \"apni\"\n","}\n"],"metadata":{"id":"0u1e_fAFWkwU","executionInfo":{"status":"ok","timestamp":1767686967077,"user_tz":-330,"elapsed":18,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}}},"execution_count":5,"outputs":[]},{"cell_type":"code","source":["def detect_language(text):\n"," text = str(text).strip().lower()\n","\n"," if not text:\n"," return \"Other\"\n","\n"," # Hindi detection\n"," if hindi_pattern.search(text):\n"," return \"Hindi\"\n","\n"," # English / Hinglish detection\n"," try:\n"," if detect(text) == \"en\":\n"," words = set(text.split())\n"," if words & hinglish_words:\n"," return \"Hinglish\"\n"," return \"English\"\n"," except:\n"," return \"Other\"\n","\n"," return \"Other\"\n"],"metadata":{"id":"4x4g4TjvWoyb","executionInfo":{"status":"ok","timestamp":1767686979559,"user_tz":-330,"elapsed":41,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}}},"execution_count":6,"outputs":[]},{"cell_type":"code","source":["# Apply language detection\n","df[\"language\"] = df[TEXT_COLUMN].apply(detect_language)\n","\n","# Remove 'Other' rows\n","df = df[df[\"language\"].isin([\"English\", \"Hindi\", \"Hinglish\"])]\n","\n","# Check final distribution\n","df[\"language\"].value_counts()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":209},"id":"eTQqIwsbWr1K","executionInfo":{"status":"ok","timestamp":1767687567726,"user_tz":-330,"elapsed":75105,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"abae93a0-adc9-4a31-ed59-2846b4f87bf0"},"execution_count":8,"outputs":[{"output_type":"execute_result","data":{"text/plain":["language\n","English 14178\n","Hindi 9767\n","Hinglish 379\n","Name: count, dtype: int64"],"text/html":["
\n","\n","\n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n","
count
language
English14178
Hindi9767
Hinglish379
\n","

"]},"metadata":{},"execution_count":8}]},{"cell_type":"code","source":["english_df = df[df[\"language\"] == \"English\"]\n","hindi_df = df[df[\"language\"] == \"Hindi\"]\n","hinglish_df = df[df[\"language\"] == \"Hinglish\"]\n"],"metadata":{"id":"O5NmAM5IWub7","executionInfo":{"status":"ok","timestamp":1767687660839,"user_tz":-330,"elapsed":51,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bY4yPgNNZSMH","executionInfo":{"status":"ok","timestamp":1767687866939,"user_tz":-330,"elapsed":44855,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"9e482587-17a5-45d3-ab9e-6bd0333cf6ce"},"execution_count":10,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["BASE_DIR = \"/content/drive/MyDrive/project_dataset_split\"\n","\n","english_dir = os.path.join(BASE_DIR, \"english\")\n","hindi_dir = os.path.join(BASE_DIR, \"hindi\")\n","hinglish_dir = os.path.join(BASE_DIR, \"hinglish\")\n","\n","os.makedirs(english_dir, exist_ok=True)\n","os.makedirs(hindi_dir, exist_ok=True)\n","os.makedirs(hinglish_dir, exist_ok=True)\n","\n","print(\"📁 Folder structure created in Google Drive\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"OMmdAAvkZ5hV","executionInfo":{"status":"ok","timestamp":1767687897963,"user_tz":-330,"elapsed":618,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"22c30246-38b9-425b-eebc-79b91a592398"},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["📁 Folder structure created in Google Drive\n"]}]},{"cell_type":"code","source":["english_df.to_csv(os.path.join(english_dir, \"english_dataset.csv\"), index=False)\n","hindi_df.to_csv(os.path.join(hindi_dir, \"hindi_dataset.csv\"), index=False)\n","hinglish_df.to_csv(os.path.join(hinglish_dir, \"hinglish_dataset.csv\"), index=False)\n","\n","print(\"✅ Datasets saved successfully in Google Drive\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3ASmROpxaL5-","executionInfo":{"status":"ok","timestamp":1767687914862,"user_tz":-330,"elapsed":898,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"53c80beb-70b2-4791-bc55-a6548af28c34"},"execution_count":12,"outputs":[{"output_type":"stream","name":"stdout","text":["✅ Datasets saved successfully in Google Drive\n"]}]},{"cell_type":"code","source":["!ls /content/drive/MyDrive/project_dataset_split\n","!ls /content/drive/MyDrive/project_dataset_split/english\n","!ls /content/drive/MyDrive/project_dataset_split/hindi\n","!ls /content/drive/MyDrive/project_dataset_split/hinglish\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"cxVZRj7LaP_7","executionInfo":{"status":"ok","timestamp":1767687925087,"user_tz":-330,"elapsed":681,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"0e5b3134-7966-4360-aa52-9aa5e3923131"},"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["english hindi\thinglish\n","english_dataset.csv\n","hindi_dataset.csv\n","hinglish_dataset.csv\n"]}]},{"cell_type":"code","source":["!zip -r project_dataset_split.zip /content/drive/MyDrive/project_dataset_split\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5KVf7RM9aSim","executionInfo":{"status":"ok","timestamp":1767688037838,"user_tz":-330,"elapsed":931,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"ccd0afa8-50fa-4bf9-a60c-83af07febffd"},"execution_count":14,"outputs":[{"output_type":"stream","name":"stdout","text":[" adding: content/drive/MyDrive/project_dataset_split/ (stored 0%)\n"," adding: content/drive/MyDrive/project_dataset_split/english/ (stored 0%)\n"," adding: content/drive/MyDrive/project_dataset_split/english/english_dataset.csv (deflated 67%)\n"," adding: content/drive/MyDrive/project_dataset_split/hindi/ (stored 0%)\n"," adding: content/drive/MyDrive/project_dataset_split/hindi/hindi_dataset.csv (deflated 78%)\n"," adding: content/drive/MyDrive/project_dataset_split/hinglish/ (stored 0%)\n"," adding: content/drive/MyDrive/project_dataset_split/hinglish/hinglish_dataset.csv (deflated 63%)\n"]}]},{"cell_type":"code","source":["from google.colab import files\n","files.download(\"project_dataset_split.zip\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":17},"id":"4B_w7G_dauAR","executionInfo":{"status":"ok","timestamp":1767688057136,"user_tz":-330,"elapsed":75,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"a5e5a767-8acf-477c-af86-87ece5f96ae0"},"execution_count":15,"outputs":[{"output_type":"display_data","data":{"text/plain":[""],"application/javascript":["\n"," async function download(id, filename, size) {\n"," if (!google.colab.kernel.accessAllowed) {\n"," return;\n"," }\n"," const div = document.createElement('div');\n"," const label = document.createElement('label');\n"," label.textContent = `Downloading \"${filename}\": `;\n"," div.appendChild(label);\n"," const progress = document.createElement('progress');\n"," progress.max = size;\n"," div.appendChild(progress);\n"," document.body.appendChild(div);\n","\n"," const buffers = [];\n"," let downloaded = 0;\n","\n"," const channel = await google.colab.kernel.comms.open(id);\n"," // Send a message to notify the kernel that we're ready.\n"," channel.send({})\n","\n"," for await (const message of channel.messages) {\n"," // Send a message to notify the kernel that we're ready.\n"," channel.send({})\n"," if (message.buffers) {\n"," for (const buffer of message.buffers) {\n"," buffers.push(buffer);\n"," downloaded += buffer.byteLength;\n"," progress.value = downloaded;\n"," }\n"," }\n"," }\n"," const blob = new Blob(buffers, {type: 'application/binary'});\n"," const a = document.createElement('a');\n"," a.href = window.URL.createObjectURL(blob);\n"," a.download = filename;\n"," div.appendChild(a);\n"," a.click();\n"," div.remove();\n"," }\n"," "]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":[""],"application/javascript":["download(\"download_46ae44dd-ab82-45a4-ae18-aa89026240e3\", \"project_dataset_split.zip\", 1888453)"]},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"0aHfajrMay7c"},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/phase1/notebooks/Fasttext.ipynb b/phase1/notebooks/Fasttext.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..b919376c6d042dfdf03c5e5ddb3c0b57780ba618 --- /dev/null +++ b/phase1/notebooks/Fasttext.ipynb @@ -0,0 +1 @@ +{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyNEt9YhjTNvTxOeHPVI8h7r"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":27,"metadata":{"id":"B6ngcZWSBpEX","executionInfo":{"status":"ok","timestamp":1761111102299,"user_tz":-330,"elapsed":4377,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}}},"outputs":[],"source":["!pip install fasttext scikit-learn matplotlib seaborn pandas --quiet\n"]},{"cell_type":"code","source":["import pandas as pd\n","import numpy as np\n","import fasttext\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import (\n"," accuracy_score, precision_score, recall_score, f1_score,\n"," confusion_matrix, roc_auc_score, roc_curve, classification_report\n",")\n","from google.colab import files\n","import os\n","\n","sns.set(style=\"whitegrid\")\n"],"metadata":{"id":"fEa_fQB6ByT0","executionInfo":{"status":"ok","timestamp":1761111114887,"user_tz":-330,"elapsed":5,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}}},"execution_count":28,"outputs":[]},{"cell_type":"code","source":["print(\"📁 Please upload your dataset CSV file (e.g., bprism_c.csv)\")\n","uploaded = files.upload()\n","\n","file_name = next(iter(uploaded.keys()))\n","print(f\"✅ Dataset loaded: {file_name}\")\n","\n","# Load dataset\n","data = pd.read_csv(file_name)\n","data = data[['text', 'hate_label']].dropna()\n","data['hate_label'] = data['hate_label'].astype(int)\n","\n","print(f\"✅ Dataset shape: {data.shape}\")\n","data.head()\n"],"metadata":{"id":"kk5iy53ACN7e","executionInfo":{"status":"ok","timestamp":1761111163891,"user_tz":-330,"elapsed":36177,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"colab":{"base_uri":"https://localhost:8080/","height":314},"outputId":"1e761715-e3cb-467c-acff-b0e7014dd885"},"execution_count":29,"outputs":[{"output_type":"stream","name":"stdout","text":["📁 Please upload your dataset CSV file (e.g., bprism_c.csv)\n"]},{"output_type":"display_data","data":{"text/plain":[""],"text/html":["\n"," \n"," \n"," Upload widget is only available when the cell has been executed in the\n"," current browser session. Please rerun this cell to enable.\n"," \n"," "]},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Saving bprism_c.csv to bprism_c (2).csv\n","✅ Dataset loaded: bprism_c (2).csv\n","✅ Dataset shape: (29550, 2)\n"]},{"output_type":"execute_result","data":{"text/plain":[" text hate_label\n","0 Knowing ki Vikas kitna samjhata hai Priyanka a... 0\n","1 I am Muhajir .. Aur mere lye sab se Pehly Paki... 0\n","2 Doctor sab sahi me ke PhD (in hate politics) ... 0\n","3 Poore Desh me Patel OBC me aate Hain sirf gujr... 0\n","4 Sarkar banne ke bad Hindu hit me ek bhi faisla... 1"],"text/html":["\n","
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texthate_label
0Knowing ki Vikas kitna samjhata hai Priyanka a...0
1I am Muhajir .. Aur mere lye sab se Pehly Paki...0
2Doctor sab sahi me ke PhD (in hate politics) ...0
3Poore Desh me Patel OBC me aate Hain sirf gujr...0
4Sarkar banne ke bad Hindu hit me ek bhi faisla...1
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\n","
\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"data","summary":"{\n \"name\": \"data\",\n \"rows\": 29550,\n \"fields\": [\n {\n \"column\": \"text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 29539,\n \"samples\": [\n \"silence betrays the innocent activism hunger no fur animal rights cousin eah wildlife vegan lgbt\",\n \"no other asians being welcome at my engagement party\",\n \"two aboard gone\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"hate_label\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":29}]},{"cell_type":"code","source":["# Split data 70:30\n","train_df, test_df = train_test_split(\n"," data, test_size=0.3, random_state=42, stratify=data['hate_label']\n",")\n","\n","# FastText supervised format\n","train_df['ft_text'] = '__label__' + train_df['hate_label'].astype(str) + ' ' + train_df['text']\n","test_df['ft_text'] = '__label__' + test_df['hate_label'].astype(str) + ' ' + test_df['text']\n","\n","train_df['ft_text'].to_csv('train.txt', index=False, header=False)\n","test_df['ft_text'].to_csv('test.txt', index=False, header=False)\n","\n","print(\"✅ train.txt and test.txt created successfully!\")\n","!head -n 3 train.txt\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"qeMkoO6FCdda","executionInfo":{"status":"ok","timestamp":1761111185328,"user_tz":-330,"elapsed":389,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"98686540-d40b-4f6a-cddd-21d3b7741d72"},"execution_count":30,"outputs":[{"output_type":"stream","name":"stdout","text":["✅ train.txt and test.txt created successfully!\n","__label__0 tommy robinson speaks the truth and finds himself in jail le pen speaks the truth and now she needs a psychiatric evaluation america wake up vote democrat and this is your future and your kids future democrats liberals support muslim extremists\n","__label__1 skinned prick named yeller got me banned he does not like it when people point out that he broke his promise news articles from reliable and independent sources would shut me up if you do that i will make the text say annual myself you are a lying piece of shit yeller\n","__label__0 thats right i love fear factor statements like this it just makes you look like a douchebag dictator\n"]}]},{"cell_type":"code","source":["print(\"🚀 Training final FastText model with 50 epochs...\")\n","model = fasttext.train_supervised(\n"," input='train.txt',\n"," lr=0.7,\n"," epoch=50,\n"," wordNgrams=2,\n"," minCount=2,\n"," loss='softmax',\n"," verbose=2\n",")\n","print(\"✅ Model training completed!\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"LeR-8OVRbBgt","executionInfo":{"status":"ok","timestamp":1761111472167,"user_tz":-330,"elapsed":21889,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"a7c7f53e-d1cc-433f-fc13-6b93ab23ac3c"},"execution_count":32,"outputs":[{"output_type":"stream","name":"stdout","text":["🚀 Training final FastText model with 50 epochs...\n","✅ Model training completed!\n"]}]},{"cell_type":"code","source":["epochs = [10, 20, 30, 40, 50]\n","train_acc, val_acc, loss_proxy = [], [], []\n","\n","for e in epochs:\n"," model_temp = fasttext.train_supervised(\n"," input='train.txt',\n"," lr=0.7,\n"," epoch=e,\n"," wordNgrams=2,\n"," minCount=2,\n"," loss='softmax',\n"," verbose=0\n"," )\n"," tr = model_temp.test('train.txt')\n"," ts = model_temp.test('test.txt')\n"," train_acc.append(tr[1])\n"," val_acc.append(ts[1])\n"," loss_proxy.append(1 - tr[1])\n","\n","# Accuracy curve\n","plt.figure(figsize=(8,5))\n","plt.plot(epochs, train_acc, 'o-', label='Train Accuracy')\n","plt.plot(epochs, val_acc, 's-', label='Validation Accuracy')\n","plt.title(\"Accuracy vs Epochs\")\n","plt.xlabel(\"Epochs\"); plt.ylabel(\"Accuracy\"); plt.legend(); plt.grid(True)\n","plt.show()\n","\n","# Loss curve (approximation)\n","plt.figure(figsize=(8,5))\n","plt.plot(epochs, loss_proxy, 'o-', color='red', label='Training Loss (approx)')\n","plt.title(\"Loss vs Epochs\")\n","plt.xlabel(\"Epochs\"); plt.ylabel(\"Loss (approx)\")\n","plt.legend(); plt.grid(True)\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":975},"id":"RhW-04-8WPVk","executionInfo":{"status":"ok","timestamp":1761111631406,"user_tz":-330,"elapsed":72075,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"a4190f8f-01de-4668-f284-2d657b20b71f"},"execution_count":33,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["epoch_list = [10, 20, 30, 40, 50]\n","train_acc, test_acc, loss_proxy = [], [], []\n","\n","for e in epoch_list:\n"," model_temp = fasttext.train_supervised(\n"," input='train.txt',\n"," lr=0.7,\n"," epoch=e,\n"," wordNgrams=2,\n"," minCount=3,\n"," loss='softmax',\n"," verbose=0\n"," )\n"," result_train = model_temp.test('train.txt')\n"," result_test = model_temp.test('test.txt')\n"," train_acc.append(result_train[1])\n"," test_acc.append(result_test[1])\n"," loss_proxy.append(1 - result_train[1]) # approximate loss\n","\n","# Plot Accuracy curve\n","plt.figure(figsize=(8,5))\n","plt.plot(epoch_list, train_acc, marker='o', label='Training Accuracy')\n","plt.plot(epoch_list, test_acc, marker='s', label='Validation Accuracy')\n","plt.title(\"Accuracy vs Epochs\")\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Accuracy\")\n","plt.legend()\n","plt.grid(True)\n","plt.show()\n","\n","# Plot Loss curve (approx)\n","plt.figure(figsize=(8,5))\n","plt.plot(epoch_list, loss_proxy, marker='o', color='red', label='Training Loss (approx)')\n","plt.title(\"Loss vs Epochs\")\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Loss (approx)\")\n","plt.legend()\n","plt.grid(True)\n","plt.show()\n"],"metadata":{"id":"quq3Mz-DClkH","executionInfo":{"status":"ok","timestamp":1761110596677,"user_tz":-330,"elapsed":80489,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"colab":{"base_uri":"https://localhost:8080/","height":975},"outputId":"f9c5bbfb-3057-4fa6-c414-99a102df0169"},"execution_count":26,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["# STEP 6: Prepare FastText formatted data\n","train_df['ft_text'] = '__label__' + train_df['hate_label'].astype(str) + ' ' + train_df['text']\n","test_df['ft_text'] = '__label__' + test_df['hate_label'].astype(str) + ' ' + test_df['text']\n","\n","train_df['ft_text'].to_csv('train.txt', index=False, header=False)\n","test_df['ft_text'].to_csv('test.txt', index=False, header=False)\n","\n","# Verify files\n","!ls -lh train.txt test.txt\n","!head -n 3 train.txt"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VMFCjezzCphU","executionInfo":{"status":"ok","timestamp":1761108809578,"user_tz":-330,"elapsed":708,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"f1205897-90e8-4498-f13b-eb127846420d"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["-rw-r--r-- 1 root root 1.9M Oct 22 04:53 test.txt\n","-rw-r--r-- 1 root root 4.3M Oct 22 04:53 train.txt\n","__label__0 tommy robinson speaks the truth and finds himself in jail le pen speaks the truth and now she needs a psychiatric evaluation america wake up vote democrat and this is your future and your kids future democrats liberals support muslim extremists\n","__label__1 skinned prick named yeller got me banned he does not like it when people point out that he broke his promise news articles from reliable and independent sources would shut me up if you do that i will make the text say annual myself you are a lying piece of shit yeller\n","__label__0 thats right i love fear factor statements like this it just makes you look like a douchebag dictator\n"]}]},{"cell_type":"code","source":["# STEP 7: Train FastText supervised model\n","print(\"\\n🚀 Training FastText model... please wait...\")\n","model = fasttext.train_supervised(\n"," input='train.txt',\n"," lr=0.7,\n"," epoch=50,\n"," wordNgrams=2,\n"," verbose=2,\n"," minCount=3,\n"," loss='softmax'\n",")\n","print(\"✅ Training complete!\")"],"metadata":{"id":"doiXcfaTC0Dy","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1761108867154,"user_tz":-330,"elapsed":24895,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"59b3494b-54cd-4133-aa18-5858ccd89f85"},"execution_count":9,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","🚀 Training FastText model... please wait...\n","✅ Training complete!\n"]}]},{"cell_type":"code","source":["# STEP 8: Prediction helper\n","def fasttext_predict(model, texts):\n"," labels, probs = model.predict(texts)\n"," preds = [int(label[0].replace('__label__', '')) for label in labels]\n"," return preds, np.array([p[0] for p in probs])"],"metadata":{"id":"xK9Ds5QeRFVM","executionInfo":{"status":"ok","timestamp":1761109350870,"user_tz":-330,"elapsed":22,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["# STEP 8: Prediction helper (safe version)\n","def fasttext_predict(model, texts):\n"," cleaned_texts = [str(t).replace(\"\\n\", \" \").replace(\"\\r\", \" \").strip() for t in texts]\n"," labels, probs = model.predict(cleaned_texts)\n"," preds = [int(label[0].replace('__label__', '')) for label in labels]\n"," return preds, np.array([p[0] for p in probs])"],"metadata":{"id":"ZhyDUbN_TBfg","executionInfo":{"status":"ok","timestamp":1761109422869,"user_tz":-330,"elapsed":36,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}}},"execution_count":12,"outputs":[]},{"cell_type":"code","source":["# STEP 9: Evaluate on test data (with cleaned text)\n","print(\"\\n🔍 Evaluating model...\")\n","y_true = test_df['hate_label'].tolist()\n","y_pred, y_prob = fasttext_predict(model, test_df['text'].tolist())\n","\n","acc = accuracy_score(y_true, y_pred)\n","prec = precision_score(y_true, y_pred)\n","rec = recall_score(y_true, y_pred)\n","f1 = f1_score(y_true, y_pred)\n","spec = recall_score(y_true, y_pred, pos_label=0)\n","auc = roc_auc_score(y_true, y_prob)\n","\n","print(\"\\n📊 Evaluation Metrics\")\n","print(f\"Accuracy : {acc:.4f}\")\n","print(f\"Precision : {prec:.4f}\")\n","print(f\"Recall : {rec:.4f}\")\n","print(f\"Specificity : {spec:.4f}\")\n","print(f\"F1 Score : {f1:.4f}\")\n","print(f\"AUC-ROC : {auc:.4f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bMMBeleOTHWs","executionInfo":{"status":"ok","timestamp":1761109445030,"user_tz":-330,"elapsed":106,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"50d6cd0a-b569-4fbb-cd5e-c1c4775117cf"},"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","🔍 Evaluating model...\n","\n","📊 Evaluation Metrics\n","Accuracy : 0.6959\n","Precision : 0.6845\n","Recall : 0.6403\n","Specificity : 0.7441\n","F1 Score : 0.6616\n","AUC-ROC : 0.4983\n"]}]},{"cell_type":"code","source":["# STEP 12: Classification report (as heatmap)\n","report_dict = classification_report(y_true, y_pred, output_dict=True)\n","report_df = pd.DataFrame(report_dict).transpose()\n","plt.figure(figsize=(6,3))\n","sns.heatmap(report_df.iloc[:-1, :-1], annot=True, cmap='Greens', fmt=\".2f\")\n","plt.title(\"Classification Report\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":314},"id":"H9zdzZnfTYav","executionInfo":{"status":"ok","timestamp":1761109605465,"user_tz":-330,"elapsed":877,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"5a286ae1-a9b8-479c-85d1-9ca5a531682d"},"execution_count":16,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["# STEP 11: Confusion matrix\n","cm = confusion_matrix(y_true, y_pred)\n","plt.figure(figsize=(5,4))\n","sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n","plt.title(\"Confusion Matrix\")\n","plt.xlabel(\"Predicted\")\n","plt.ylabel(\"Actual\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":410},"id":"wT5CHiFQTfiV","executionInfo":{"status":"ok","timestamp":1761109627907,"user_tz":-330,"elapsed":487,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"c4279209-a7c5-4cfe-fd25-847b58c37daa"},"execution_count":17,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["# STEP 13: AUC-ROC Curve\n","fpr, tpr, _ = roc_curve(y_true, y_prob)\n","plt.figure(figsize=(5,4))\n","plt.plot(fpr, tpr, label=f\"AUC = {auc:.3f}\")\n","plt.plot([0, 1], [0, 1], 'k--')\n","plt.xlabel(\"False Positive Rate\")\n","plt.ylabel(\"True Positive Rate\")\n","plt.title(\"ROC Curve\")\n","plt.legend()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":410},"id":"56I2uYUsTkVS","executionInfo":{"status":"ok","timestamp":1761109647324,"user_tz":-330,"elapsed":249,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"bdbe5778-7d43-44ac-9404-5c11848960b2"},"execution_count":18,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["# STEP 7: Train multiple models (for Accuracy/Loss curves)\n","epoch_list = [5, 10, 15, 20, 25]\n","train_acc = []\n","test_acc = []\n","loss_proxy = []\n","\n","for e in epoch_list:\n"," model_temp = fasttext.train_supervised(\n"," input='train.txt',\n"," lr=0.7,\n"," epoch=e,\n"," wordNgrams=2,\n"," minCount=3,\n"," loss='softmax',\n"," verbose=0\n"," )\n"," result_train = model_temp.test('train.txt')\n"," result_test = model_temp.test('test.txt')\n"," train_acc.append(result_train[1])\n"," test_acc.append(result_test[1])\n"," # Simulated loss (1 - accuracy as proxy)\n"," loss_proxy.append(1 - result_train[1])\n","\n","plt.figure(figsize=(8,5))\n","plt.plot(epoch_list, train_acc, marker='o', label='Training Accuracy')\n","plt.plot(epoch_list, test_acc, marker='s', label='Validation Accuracy')\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Accuracy\")\n","plt.title(\"Accuracy vs Epochs\")\n","plt.legend()\n","plt.grid(True)\n","plt.show()\n","\n","plt.figure(figsize=(8,5))\n","plt.plot(epoch_list, loss_proxy, marker='o', color='red', label='Training Loss (approx)')\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Loss (approx)\")\n","plt.title(\"Loss vs Epochs\")\n","plt.legend()\n","plt.grid(True)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":957},"id":"xknywFUBUJ0t","executionInfo":{"status":"ok","timestamp":1761109733268,"user_tz":-330,"elapsed":39749,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"eda723fc-6535-4919-9e7a-cd5a9ac79185"},"execution_count":19,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"b6gvA3EhUVKa"},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/phase2/README.md b/phase2/README.md new file mode 100644 index 0000000000000000000000000000000000000000..57ccf9da8a4541b445c34d6f149f02950afb6ff1 --- /dev/null +++ b/phase2/README.md @@ -0,0 +1,21 @@ +# Phase 2 - Hybrid Baselines (Monolingual) + +[Back to model card](../README.md) | [Dataset repository](https://huggingface.co/datasets/pankajbiswas6/prism-hinglish-hate-speech) + +## Setup +- Goal: build the first hybrid models (pretrained embeddings feeding a BiLSTM) and measure + them per language (monolingual). +- Models: FastText+BiLSTM, GloVe+BiLSTM, Word2Vec+BiLSTM. +- Config: embedding_dim 300, hidden_dim 256, dropout 0.5, max_seq_len 128, Adam lr 1e-3, + 10 epochs, batch 32. + +## Findings +- BiLSTM over pretrained embeddings clearly beats plain LSTM baselines on code-mixed data. +- GloVe and FastText are competitive; Word2Vec trails slightly on the harder Hinglish subset. +- Monolingual training transfers poorly across languages, motivating the language-wise + strategy in Phase 3. + +## Files +- Notebooks: [`notebooks/`](notebooks/) - fasttext_bilstm_monolingual +- Figures: [`figures/`](figures/) - confusion matrix, ROC, train/val accuracy and loss +- Tables: [`tables/metrics_table.csv`](tables/metrics_table.csv) diff --git a/phase2/figures/confusion_matrix.png b/phase2/figures/confusion_matrix.png new file mode 100644 index 0000000000000000000000000000000000000000..4be543e812b4b95b130e1130595be65d0d1c6e0b Binary files /dev/null and b/phase2/figures/confusion_matrix.png differ diff --git a/phase2/figures/roc_curve.png b/phase2/figures/roc_curve.png new file mode 100644 index 0000000000000000000000000000000000000000..adafbc80da3771fefa3adaf7d53dac6c73263b1c --- /dev/null +++ b/phase2/figures/roc_curve.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:64eb9c582bba88ca6887901d95f92583c9c78b681f8e50510d6c8fb694042f68 +size 101442 diff --git a/phase2/figures/train_val_accuracy.png b/phase2/figures/train_val_accuracy.png new file mode 100644 index 0000000000000000000000000000000000000000..31901c5c7c3d2f17de91b47e5316e660715dacba Binary files /dev/null and b/phase2/figures/train_val_accuracy.png differ diff --git a/phase2/figures/train_val_loss.png b/phase2/figures/train_val_loss.png new file mode 100644 index 0000000000000000000000000000000000000000..2f9fc589e2f942813fca56666f9d7a578fb80c5c Binary files /dev/null and b/phase2/figures/train_val_loss.png differ diff --git a/phase2/notebooks/fasttext_bilstm_monolingual.ipynb b/phase2/notebooks/fasttext_bilstm_monolingual.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..ea3160af63d9e8a2eaf7f60bbaaa8eb3d65b9415 --- /dev/null +++ b/phase2/notebooks/fasttext_bilstm_monolingual.ipynb @@ -0,0 +1 @@ +{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyNsP8zxhJZwIVq2bH9wWoGH"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"IZh2H_BTzb9Y","executionInfo":{"status":"ok","timestamp":1771436915955,"user_tz":-330,"elapsed":23669,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"0671aaeb-302f-4bed-8824-814b904198a1"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n","✅ FastText + BiLSTM project folders created successfully\n","📂 Base directory: /content/drive/MyDrive/fasttext_bilstm_multilingual\n"]}],"source":["from google.colab import drive\n","import os\n","\n","# Mount Google Drive\n","drive.mount('/content/drive')\n","\n","# Base project directory\n","BASE_DIR = \"/content/drive/MyDrive/fasttext_bilstm_multilingual\"\n","\n","# Folder structure (same logic as MuRIL project)\n","folders = [\n"," f\"{BASE_DIR}/data/raw\",\n"," f\"{BASE_DIR}/data/processed\",\n"," f\"{BASE_DIR}/data/eda\",\n","\n"," f\"{BASE_DIR}/splits/english\",\n"," f\"{BASE_DIR}/splits/hindi\",\n"," f\"{BASE_DIR}/splits/hinglish\",\n","\n"," f\"{BASE_DIR}/experiments\",\n"," f\"{BASE_DIR}/results\",\n"," f\"{BASE_DIR}/src\",\n"," f\"{BASE_DIR}/reports\" # PDFs & plots\n","]\n","\n","# Create folders\n","for folder in folders:\n"," os.makedirs(folder, exist_ok=True)\n","\n","print(\"✅ FastText + BiLSTM project folders created successfully\")\n","print(\"📂 Base directory:\", BASE_DIR)"]},{"cell_type":"code","source":["!pip install -q torch gensim pandas numpy matplotlib seaborn scikit-learn tqdm\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Rw-Fvi7V3bnn","executionInfo":{"status":"ok","timestamp":1771436985509,"user_tz":-330,"elapsed":8573,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"0c012f79-794f-4178-904f-f7d04098e3e5"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27.9/27.9 MB\u001b[0m \u001b[31m20.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h"]}]},{"cell_type":"code","source":["import pandas as pd\n","import numpy as np\n","import os\n","import unicodedata\n","import re\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","# ---------------------------------\n","# Paths\n","# ---------------------------------\n","BASE_DIR = \"/content/drive/MyDrive/fasttext_bilstm_multilingual\"\n","RAW_PATH = f\"{BASE_DIR}/data/raw\"\n","PROCESSED_PATH = f\"{BASE_DIR}/data/processed\"\n","EDA_PATH = f\"{BASE_DIR}/data/eda\"\n","\n","os.makedirs(PROCESSED_PATH, exist_ok=True)\n","os.makedirs(EDA_PATH, exist_ok=True)\n","\n","# ---------------------------------\n","# Load Dataset\n","# ---------------------------------\n","DATA_PATH = \"/content/drive/MyDrive/datasets/bprism.csv\"\n","df = pd.read_csv(DATA_PATH)\n","\n","print(\"✅ Dataset loaded\")\n","print(\"Shape:\", df.shape)\n","display(df.head())\n","\n","# ---------------------------------\n","# FastText-safe preprocessing\n","# ---------------------------------\n","def normalize_text(text):\n"," text = unicodedata.normalize(\"NFKC\", str(text))\n"," text = text.lower().strip()\n"," text = re.sub(r\"http\\S+\", \"\", text)\n"," text = re.sub(r\"[^a-zA-Zअ-ह0-9 ]+\", \" \", text)\n"," text = \" \".join(text.split())\n"," return text\n","\n","df[\"text\"] = df[\"text\"].astype(str).apply(normalize_text)\n","df[\"hate_label\"] = df[\"hate_label\"].astype(int)\n","df[\"language\"] = df[\"language\"].astype(str).str.lower().str.strip()\n","\n","# Remove empty\n","before = len(df)\n","df = df[df[\"text\"].str.len() > 0]\n","print(f\"Removed empty texts: {before - len(df)}\")\n","\n","# Drop duplicates\n","before = len(df)\n","df = df.drop_duplicates(subset=[\"text\", \"hate_label\", \"language\"])\n","print(f\"Removed duplicates: {before - len(df)}\")\n","\n","# ---------------------------------\n","# Feature computation\n","# ---------------------------------\n","df[\"text_len\"] = df[\"text\"].str.len()\n","df[\"word_count\"] = df[\"text\"].str.split().str.len()\n","\n","print(\"\\nFinal shape after preprocessing:\", df.shape)\n","\n","# ---------------------------------\n","# EDA — Summary\n","# ---------------------------------\n","print(\"\\n===== BASIC STATS =====\")\n","print(\"Total samples:\", len(df))\n","print(df[\"language\"].value_counts())\n","print(\"\\nLabel distribution:\")\n","print(df[\"hate_label\"].value_counts())\n","\n","print(\"\\nLanguage × Label:\")\n","display(pd.crosstab(df[\"language\"], df[\"hate_label\"]))\n","\n","# ---------------------------------\n","# EDA — Plots\n","# ---------------------------------\n","plt.figure(figsize=(6.5, 4.5))\n","sns.countplot(x=\"language\", data=df)\n","plt.title(\"Language Distribution\")\n","plt.tight_layout()\n","plt.savefig(f\"{EDA_PATH}/language_distribution.png\", dpi=300)\n","plt.show()\n","\n","plt.figure(figsize=(6.5, 4.5))\n","sns.countplot(x=\"hate_label\", data=df)\n","plt.title(\"Hate Label Distribution\")\n","plt.tight_layout()\n","plt.savefig(f\"{EDA_PATH}/label_distribution.png\", dpi=300)\n","plt.show()\n","\n","plt.figure(figsize=(6.5, 4.5))\n","plt.hist(df[\"word_count\"], bins=50)\n","plt.title(\"Word Count Distribution\")\n","plt.xlabel(\"Words\")\n","plt.ylabel(\"Count\")\n","plt.tight_layout()\n","plt.savefig(f\"{EDA_PATH}/word_count_distribution.png\", dpi=300)\n","plt.show()\n","\n","# ---------------------------------\n","# Save cleaned dataset\n","# ---------------------------------\n","clean_path = f\"{PROCESSED_PATH}/clean_dataset.csv\"\n","df.to_csv(clean_path, index=False)\n","\n","print(\"\\n✔ Clean dataset saved to:\", clean_path)\n","print(\"Cell 3 completed successfully.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"0sEYg45l3yle","executionInfo":{"status":"ok","timestamp":1771437114788,"user_tz":-330,"elapsed":3422,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"a17e576e-2c45-48d4-b3b1-84f6ffecca1a"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["✅ Dataset loaded\n","Shape: (29550, 9)\n"]},{"output_type":"display_data","data":{"text/plain":[" text hate_label \\\n","0 Knowing ki Vikas kitna samjhata hai Priyanka a... 0 \n","1 I am Muhajir .. Aur mere lye sab se Pehly Paki... 0 \n","2 Doctor sab sahi me ke PhD (in hate politics) ... 0 \n","3 Poore Desh me Patel OBC me aate Hain sirf gujr... 0 \n","4 Sarkar banne ke bad Hindu hit me ek bhi faisla... 1 \n","\n"," source profanity_score language dataset_version combined_date \\\n","0 hate_speech_tsv 0 hinglish v1.0 2025-09-11 \n","1 hate_speech_tsv 0 hinglish v1.0 2025-09-11 \n","2 hate_speech_tsv 0 hinglish v1.0 2025-09-11 \n","3 hate_speech_tsv 0 hinglish v1.0 2025-09-11 \n","4 hate_speech_tsv 0 hinglish v1.0 2025-09-11 \n","\n"," text_length word_count \n","0 126 25 \n","1 196 41 \n","2 166 29 \n","3 257 49 \n","4 140 25 "],"text/html":["\n","
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texthate_labelsourceprofanity_scorelanguagedataset_versioncombined_datetext_lengthword_count
0Knowing ki Vikas kitna samjhata hai Priyanka a...0hate_speech_tsv0hinglishv1.02025-09-1112625
1I am Muhajir .. Aur mere lye sab se Pehly Paki...0hate_speech_tsv0hinglishv1.02025-09-1119641
2Doctor sab sahi me ke PhD (in hate politics) ...0hate_speech_tsv0hinglishv1.02025-09-1116629
3Poore Desh me Patel OBC me aate Hain sirf gujr...0hate_speech_tsv0hinglishv1.02025-09-1125749
4Sarkar banne ke bad Hindu hit me ek bhi faisla...1hate_speech_tsv0hinglishv1.02025-09-1114025
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hate_label01
language
english74957499
hindi53894299
hinglish29071863
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","✔ Clean dataset saved to: /content/drive/MyDrive/fasttext_bilstm_multilingual/data/processed/clean_dataset.csv\n","Cell 3 completed successfully.\n"]}]},{"cell_type":"code","source":["import pandas as pd\n","import os\n","\n","# ---------------------------------\n","# Paths (FastText project)\n","# ---------------------------------\n","BASE_DIR = \"/content/drive/MyDrive/fasttext_bilstm_multilingual\"\n","PROCESSED_PATH = f\"{BASE_DIR}/data/processed\"\n","SPLIT_BASE = f\"{BASE_DIR}/splits\"\n","\n","os.makedirs(SPLIT_BASE, exist_ok=True)\n","\n","# ---------------------------------\n","# Load cleaned dataset\n","# ---------------------------------\n","clean_path = f\"{PROCESSED_PATH}/clean_dataset.csv\"\n","\n","if not os.path.exists(clean_path):\n"," raise FileNotFoundError(f\"Clean dataset not found: {clean_path}\")\n","\n","df = pd.read_csv(clean_path)\n","print(\"✅ Clean dataset loaded:\", df.shape)\n","\n","# ---------------------------------\n","# Separate by language\n","# ---------------------------------\n","df_eng = df[df[\"language\"] == \"english\"]\n","df_hin = df[df[\"language\"] == \"hindi\"]\n","df_hing = df[df[\"language\"] == \"hinglish\"]\n","\n","# ---------------------------------\n","# Create language folders\n","# ---------------------------------\n","for lang in [\"english\", \"hindi\", \"hinglish\"]:\n"," os.makedirs(f\"{SPLIT_BASE}/{lang}\", exist_ok=True)\n","\n","# ---------------------------------\n","# Save full language datasets\n","# ---------------------------------\n","df_eng.to_csv(f\"{SPLIT_BASE}/english/english_full.csv\", index=False)\n","df_hin.to_csv(f\"{SPLIT_BASE}/hindi/hindi_full.csv\", index=False)\n","df_hing.to_csv(f\"{SPLIT_BASE}/hinglish/hinglish_full.csv\", index=False)\n","\n","# ---------------------------------\n","# Summary\n","# ---------------------------------\n","print(\"\\n===== LANGUAGE-WISE COUNTS =====\")\n","print(\"English :\", df_eng.shape)\n","print(\"Hindi :\", df_hin.shape)\n","print(\"Hinglish:\", df_hing.shape)\n","\n","print(\"\\nLabel distribution (English):\")\n","print(df_eng[\"hate_label\"].value_counts())\n","\n","print(\"\\nLabel distribution (Hindi):\")\n","print(df_hin[\"hate_label\"].value_counts())\n","\n","print(\"\\nLabel distribution (Hinglish):\")\n","print(df_hing[\"hate_label\"].value_counts())\n","\n","print(\"\\n✔ Language-wise full datasets saved\")\n","print(\"Cell 4 completed successfully.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VkTFLGOG4Hr1","executionInfo":{"status":"ok","timestamp":1771437192087,"user_tz":-330,"elapsed":1226,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"39e8529d-cb03-411e-9111-be56461c6f37"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["✅ Clean dataset loaded: (29452, 10)\n","\n","===== LANGUAGE-WISE COUNTS =====\n","English : (14994, 10)\n","Hindi : (9688, 10)\n","Hinglish: (4770, 10)\n","\n","Label distribution (English):\n","hate_label\n","1 7499\n","0 7495\n","Name: count, dtype: int64\n","\n","Label distribution (Hindi):\n","hate_label\n","0 5389\n","1 4299\n","Name: count, dtype: int64\n","\n","Label distribution (Hinglish):\n","hate_label\n","0 2907\n","1 1863\n","Name: count, dtype: int64\n","\n","✔ Language-wise full datasets saved\n","Cell 4 completed successfully.\n"]}]},{"cell_type":"code","source":["import pandas as pd\n","import os\n","from sklearn.model_selection import train_test_split\n","\n","# ---------------------------------\n","# Paths\n","# ---------------------------------\n","BASE_DIR = \"/content/drive/MyDrive/fasttext_bilstm_multilingual\"\n","SPLIT_BASE = f\"{BASE_DIR}/splits\"\n","\n","def split_and_save(lang):\n"," print(f\"\\n==============================\")\n"," print(f\" SPLITTING: {lang.upper()}\")\n"," print(f\"==============================\")\n","\n"," data_path = f\"{SPLIT_BASE}/{lang}/{lang}_full.csv\"\n"," df = pd.read_csv(data_path)\n","\n"," # 1️⃣ Train / Test = 70 / 30\n"," train_df, test_df = train_test_split(\n"," df,\n"," test_size=0.30,\n"," stratify=df[\"hate_label\"],\n"," random_state=42\n"," )\n","\n"," # 2️⃣ Validation = 10% of Train\n"," train_df, val_df = train_test_split(\n"," train_df,\n"," test_size=0.10,\n"," stratify=train_df[\"hate_label\"],\n"," random_state=42\n"," )\n","\n"," # 3️⃣ Save splits\n"," save_dir = f\"{SPLIT_BASE}/{lang}\"\n"," train_df.to_csv(f\"{save_dir}/train.csv\", index=False)\n"," val_df.to_csv(f\"{save_dir}/val.csv\", index=False)\n"," test_df.to_csv(f\"{save_dir}/test.csv\", index=False)\n","\n"," # 4️⃣ Summary\n"," print(f\"Train size: {train_df.shape[0]}\")\n"," print(f\"Val size : {val_df.shape[0]}\")\n"," print(f\"Test size : {test_df.shape[0]}\")\n"," print(\"\\nLabel distribution (Train):\")\n"," print(train_df[\"hate_label\"].value_counts())\n"," print(\"\\nLabel distribution (Val):\")\n"," print(val_df[\"hate_label\"].value_counts())\n"," print(\"\\nLabel distribution (Test):\")\n"," print(test_df[\"hate_label\"].value_counts())\n","\n","# ---------------------------------\n","# Apply for all languages\n","# ---------------------------------\n","for language in [\"english\", \"hindi\", \"hinglish\"]:\n"," split_and_save(language)\n","\n","print(\"\\n✔ Train / Validation / Test splits created successfully\")\n","print(\"Cell 5 completed successfully.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"tTyKzULA4mz_","executionInfo":{"status":"ok","timestamp":1771437266056,"user_tz":-330,"elapsed":2672,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"0983dd6f-167a-4ca5-cc35-6627b934e6a6"},"execution_count":6,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","==============================\n"," SPLITTING: ENGLISH\n","==============================\n","Train size: 9445\n","Val size : 1050\n","Test size : 4499\n","\n","Label distribution (Train):\n","hate_label\n","1 4724\n","0 4721\n","Name: count, dtype: int64\n","\n","Label distribution (Val):\n","hate_label\n","0 525\n","1 525\n","Name: count, dtype: int64\n","\n","Label distribution (Test):\n","hate_label\n","1 2250\n","0 2249\n","Name: count, dtype: int64\n","\n","==============================\n"," SPLITTING: HINDI\n","==============================\n","Train size: 6102\n","Val size : 679\n","Test size : 2907\n","\n","Label distribution (Train):\n","hate_label\n","0 3394\n","1 2708\n","Name: count, dtype: int64\n","\n","Label distribution (Val):\n","hate_label\n","0 378\n","1 301\n","Name: count, dtype: int64\n","\n","Label distribution (Test):\n","hate_label\n","0 1617\n","1 1290\n","Name: count, dtype: int64\n","\n","==============================\n"," SPLITTING: HINGLISH\n","==============================\n","Train size: 3005\n","Val size : 334\n","Test size : 1431\n","\n","Label distribution (Train):\n","hate_label\n","0 1831\n","1 1174\n","Name: count, dtype: int64\n","\n","Label distribution (Val):\n","hate_label\n","0 204\n","1 130\n","Name: count, dtype: int64\n","\n","Label distribution (Test):\n","hate_label\n","0 872\n","1 559\n","Name: count, dtype: int64\n","\n","✔ Train / Validation / Test splits created successfully\n","Cell 5 completed successfully.\n"]}]},{"cell_type":"code","source":["import os\n","import random\n","import numpy as np\n","import torch\n","\n","# ---------------------------------\n","# Base paths\n","# ---------------------------------\n","BASE_DIR = \"/content/drive/MyDrive/fasttext_bilstm_multilingual\"\n","EXPERIMENTS_DIR = f\"{BASE_DIR}/experiments\"\n","RESULTS_DIR = f\"{BASE_DIR}/results\"\n","SRC_DIR = f\"{BASE_DIR}/src\"\n","\n","os.makedirs(EXPERIMENTS_DIR, exist_ok=True)\n","os.makedirs(RESULTS_DIR, exist_ok=True)\n","os.makedirs(SRC_DIR, exist_ok=True)\n","\n","# ---------------------------------\n","# Model\n","# ---------------------------------\n","MODEL_NAME = \"fasttext_bilstm\"\n","\n","# ---------------------------------\n","# Training hyperparameters\n","# ---------------------------------\n","BATCH_SIZE = 64\n","MAX_EPOCHS = 15\n","LEARNING_RATE = 2e-4\n","WEIGHT_DECAY = 1e-4\n","\n","# ---------------------------------\n","# Sequence & Embedding\n","# ---------------------------------\n","MAX_LEN = 50\n","EMB_DIM = 300\n","HIDDEN_DIM = 128\n","\n","# ---------------------------------\n","# Early stopping\n","# ---------------------------------\n","EARLY_STOPPING = {\n"," \"enabled\": True,\n"," \"monitor\": \"val_f1\",\n"," \"patience\": 3,\n"," \"min_delta\": 0.001,\n"," \"mode\": \"max\"\n","}\n","\n","# ---------------------------------\n","# Reproducibility\n","# ---------------------------------\n","SEED = 42\n","random.seed(SEED)\n","np.random.seed(SEED)\n","torch.manual_seed(SEED)\n","torch.cuda.manual_seed_all(SEED)\n","\n","# ---------------------------------\n","# Languages (monolingual runs)\n","# ---------------------------------\n","LANGUAGES = [\"english\", \"hindi\", \"hinglish\"]\n","\n","print(\"✅ Global configuration loaded\")\n","print(\"Model:\", MODEL_NAME)\n","print(\"Batch size:\", BATCH_SIZE)\n","print(\"Max epochs:\", MAX_EPOCHS)\n","print(\"Embedding dim:\", EMB_DIM)\n","print(\"Hidden dim:\", HIDDEN_DIM)\n","print(\"Early stopping:\", EARLY_STOPPING)\n","print(\"Languages:\", LANGUAGES)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"pg4EvAGw44f8","executionInfo":{"status":"ok","timestamp":1771437351499,"user_tz":-330,"elapsed":4701,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"c29a3276-c98f-48ca-eb94-9133da38fb7e"},"execution_count":7,"outputs":[{"output_type":"stream","name":"stdout","text":["✅ Global configuration loaded\n","Model: fasttext_bilstm\n","Batch size: 64\n","Max epochs: 15\n","Embedding dim: 300\n","Hidden dim: 128\n","Early stopping: {'enabled': True, 'monitor': 'val_f1', 'patience': 3, 'min_delta': 0.001, 'mode': 'max'}\n","Languages: ['english', 'hindi', 'hinglish']\n"]}]},{"cell_type":"code","source":["import os\n","import sys\n","\n","BASE_DIR = \"/content/drive/MyDrive/fasttext_bilstm_multilingual\"\n","SRC_DIR = f\"{BASE_DIR}/src\"\n","os.makedirs(SRC_DIR, exist_ok=True)\n","\n","# Make src importable\n","sys.path.append(BASE_DIR)\n","sys.path.append(SRC_DIR)\n","\n","# --------------------------------------------------\n","# embeddings.py\n","# --------------------------------------------------\n","embeddings_code = \"\"\"\n","from gensim.models import FastText\n","\n","def train_fasttext(sentences, emb_dim=300, window=5, min_count=2, epochs=20):\n"," model = FastText(\n"," vector_size=emb_dim,\n"," window=window,\n"," min_count=min_count,\n"," workers=4\n"," )\n"," model.build_vocab(sentences)\n"," model.train(sentences, total_examples=len(sentences), epochs=epochs)\n"," return model\n","\"\"\"\n","with open(f\"{SRC_DIR}/embeddings.py\", \"w\") as f:\n"," f.write(embeddings_code)\n","\n","# --------------------------------------------------\n","# dataset.py\n","# --------------------------------------------------\n","dataset_code = \"\"\"\n","import torch\n","import numpy as np\n","\n","class TextDataset(torch.utils.data.Dataset):\n"," def __init__(self, texts, labels, ft_model, max_len, emb_dim):\n"," self.texts = texts\n"," self.labels = labels\n"," self.ft = ft_model\n"," self.max_len = max_len\n"," self.emb_dim = emb_dim\n","\n"," def vectorize(self, text):\n"," words = text.split()[:self.max_len]\n"," vectors = []\n"," for w in words:\n"," if w in self.ft.wv:\n"," vectors.append(self.ft.wv[w])\n"," else:\n"," vectors.append(np.zeros(self.emb_dim))\n"," while len(vectors) < self.max_len:\n"," vectors.append(np.zeros(self.emb_dim))\n"," return np.array(vectors)\n","\n"," def __getitem__(self, idx):\n"," x = torch.tensor(self.vectorize(self.texts[idx]), dtype=torch.float)\n"," y = torch.tensor(self.labels[idx])\n"," return x, y\n","\n"," def __len__(self):\n"," return len(self.texts)\n","\"\"\"\n","with open(f\"{SRC_DIR}/dataset.py\", \"w\") as f:\n"," f.write(dataset_code)\n","\n","# --------------------------------------------------\n","# dataloader.py\n","# --------------------------------------------------\n","dataloader_code = \"\"\"\n","from torch.utils.data import DataLoader\n","from .dataset import TextDataset\n","\n","def create_dataloader(texts, labels, ft_model, max_len, emb_dim, batch_size, shuffle=True):\n"," ds = TextDataset(texts, labels, ft_model, max_len, emb_dim)\n"," return DataLoader(ds, batch_size=batch_size, shuffle=shuffle)\n","\"\"\"\n","with open(f\"{SRC_DIR}/dataloader.py\", \"w\") as f:\n"," f.write(dataloader_code)\n","\n","# --------------------------------------------------\n","# model.py\n","# --------------------------------------------------\n","model_code = \"\"\"\n","import torch.nn as nn\n","\n","class FastTextBiLSTM(nn.Module):\n"," def __init__(self, emb_dim, hidden_dim, num_classes):\n"," super().__init__()\n"," self.lstm = nn.LSTM(\n"," emb_dim,\n"," hidden_dim,\n"," batch_first=True,\n"," bidirectional=True\n"," )\n"," self.fc = nn.Linear(hidden_dim * 2, num_classes)\n","\n"," def forward(self, x):\n"," out, _ = self.lstm(x)\n"," out = out[:, -1, :]\n"," return self.fc(out)\n","\"\"\"\n","with open(f\"{SRC_DIR}/model.py\", \"w\") as f:\n"," f.write(model_code)\n","\n","# --------------------------------------------------\n","# utils.py\n","# --------------------------------------------------\n","utils_code = \"\"\"\n","import random\n","import numpy as np\n","import torch\n","\n","def set_seed(seed=42):\n"," random.seed(seed)\n"," np.random.seed(seed)\n"," torch.manual_seed(seed)\n"," torch.cuda.manual_seed_all(seed)\n","\"\"\"\n","with open(f\"{SRC_DIR}/utils.py\", \"w\") as f:\n"," f.write(utils_code)\n","\n","print(\"✅ src modules created:\")\n","print(\"- embeddings.py\")\n","print(\"- dataset.py\")\n","print(\"- dataloader.py\")\n","print(\"- model.py\")\n","print(\"- utils.py\")\n","print(\"Cell 7 completed successfully.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-Y6OwQVP5M1x","executionInfo":{"status":"ok","timestamp":1771437417195,"user_tz":-330,"elapsed":9,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"590a59e9-61ae-4702-a78b-4cb2125d9548"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["✅ src modules created:\n","- embeddings.py\n","- dataset.py\n","- dataloader.py\n","- model.py\n","- utils.py\n","Cell 7 completed successfully.\n"]}]},{"cell_type":"code","source":["import os\n","import json\n","\n","# ---------------------------------\n","# Paths\n","# ---------------------------------\n","BASE_DIR = \"/content/drive/MyDrive/fasttext_bilstm_multilingual\"\n","EXPERIMENTS_DIR = f\"{BASE_DIR}/experiments\"\n","SRC_DIR = f\"{BASE_DIR}/src\"\n","\n","os.makedirs(EXPERIMENTS_DIR, exist_ok=True)\n","os.makedirs(SRC_DIR, exist_ok=True)\n","\n","# ---------------------------------\n","# Experiment launcher configs\n","# ---------------------------------\n","MODEL_NAME = \"fasttext_bilstm\"\n","LANGUAGES = [\"english\", \"hindi\", \"hinglish\"]\n","\n","config_paths = []\n","\n","for lang in LANGUAGES:\n"," exp_name = f\"fasttext_bilstm__{lang}_full\"\n"," exp_dir = f\"{EXPERIMENTS_DIR}/{exp_name}\"\n"," os.makedirs(exp_dir, exist_ok=True)\n","\n"," config = {\n"," \"experiment_name\": exp_name,\n"," \"model_name\": MODEL_NAME,\n"," \"language\": lang,\n","\n"," \"train_path\": f\"{BASE_DIR}/splits/{lang}/train.csv\",\n"," \"val_path\": f\"{BASE_DIR}/splits/{lang}/val.csv\",\n"," \"test_path\": f\"{BASE_DIR}/splits/{lang}/test.csv\",\n","\n"," \"save_dir\": exp_dir\n"," }\n","\n"," config_path = f\"{exp_dir}/config.json\"\n"," with open(config_path, \"w\") as f:\n"," json.dump(config, f, indent=4)\n","\n"," config_paths.append(config_path)\n"," print(f\"✔ Config created: {config_path}\")\n","\n","print(\"\\n✅ All experiment configs ready\")\n","print(\"\\nMagic launcher paths:\")\n","for p in config_paths:\n"," print(p)\n","\n","# ---------------------------------\n","# Global training config (src/config.py)\n","# ---------------------------------\n","config_code = \"\"\"\n","# Single source of truth for training\n","\n","BATCH_SIZE = 64\n","MAX_EPOCHS = 15\n","LEARNING_RATE = 2e-4\n","WEIGHT_DECAY = 1e-4\n","\n","MAX_LEN = 50\n","EMB_DIM = 300\n","HIDDEN_DIM = 128\n","\"\"\"\n","with open(f\"{SRC_DIR}/config.py\", \"w\") as f:\n"," f.write(config_code)\n","\n","print(\"\\n✔ src/config.py created successfully\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8U0XJUyd5eCR","executionInfo":{"status":"ok","timestamp":1771437594453,"user_tz":-330,"elapsed":41,"user":{"displayName":"Pankaj Biswas","userId":"08016076892025567798"}},"outputId":"ddc2d540-8b5e-4eed-f656-caef424e8f31"},"execution_count":10,"outputs":[{"output_type":"stream","name":"stdout","text":["✔ Config created: /content/drive/MyDrive/fasttext_bilstm_multilingual/experiments/fasttext_bilstm__english_full/config.json\n","✔ Config created: /content/drive/MyDrive/fasttext_bilstm_multilingual/experiments/fasttext_bilstm__hindi_full/config.json\n","✔ Config created: /content/drive/MyDrive/fasttext_bilstm_multilingual/experiments/fasttext_bilstm__hinglish_full/config.json\n","\n","✅ All experiment configs ready\n","\n","Magic launcher paths:\n","/content/drive/MyDrive/fasttext_bilstm_multilingual/experiments/fasttext_bilstm__english_full/config.json\n","/content/drive/MyDrive/fasttext_bilstm_multilingual/experiments/fasttext_bilstm__hindi_full/config.json\n","/content/drive/MyDrive/fasttext_bilstm_multilingual/experiments/fasttext_bilstm__hinglish_full/config.json\n","\n","✔ src/config.py created successfully\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"cBTz5cyE5xe-"},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/phase2/tables/metrics_table.csv b/phase2/tables/metrics_table.csv new file mode 100644 index 0000000000000000000000000000000000000000..a65f073771f7c2277219163fb5305f987747f978 --- /dev/null +++ b/phase2/tables/metrics_table.csv @@ -0,0 +1,2 @@ +samples,accuracy,balanced_accuracy,precision,recall,specificity,f1,aucroc +8852,0.6722774514234071,0.6559997291040732,0.7636047017849369,0.426556420233463,0.8854430379728155,0.5473552816352005,0.764029048457535 diff --git a/phase3/README.md b/phase3/README.md new file mode 100644 index 0000000000000000000000000000000000000000..82e32ec8ed3d7de542a0be3b9f8d80ce6a664199 --- /dev/null +++ b/phase3/README.md @@ -0,0 +1,27 @@ +# Phase 3 - Scaled BiLSTM and Language-Wise Strategy + +[Back to model card](../README.md) | [Dataset repository](https://huggingface.co/datasets/pankajbiswas6/prism-hinglish-hate-speech) + +## Setup +- Goal: evaluate the hybrid BiLSTM models under a language-wise regime (train/evaluate per + strategy: English, Hindi, Hinglish, and combined/full). +- Models: GloVe / Word2Vec / FastText + BiLSTM; larger GloVe variants tested (100d/200d/300d). + +## Results (full / combined strategy) + +| Model | Accuracy | F1 | AUC-ROC | +|-------|----------|------|---------| +| GloVe+BiLSTM | 0.683 | 0.636 | 0.764 | +| Word2Vec+BiLSTM | 0.670 | 0.611 | 0.736 | +| FastText+BiLSTM | 0.677 | 0.595 | 0.755 | + +## Findings +- English strategy is easiest (AUC ~0.85 for GloVe+BiLSTM); Hindi is hardest. +- GloVe+BiLSTM is the most consistent across strategies. +- Per-language gaps confirm a single combined model underfits the minority languages, + motivating the multi-stage curriculum in Phase 6. + +## Files +- Figures: [`figures/`](figures/) - per-language accuracy curves +- Tables: [`tables/`](tables/) - strategy_results_table, master_metrics, final_results +- Models: [`models/`](models/) - english_bilstm.h5, hindi_bilstm.h5, hinglish_bilstm.h5 diff --git a/phase3/figures/combined_accuracy.png b/phase3/figures/combined_accuracy.png new file mode 100644 index 0000000000000000000000000000000000000000..107ecd6af4c220f2d2677ca78819df4f9c44fbcd Binary files /dev/null and b/phase3/figures/combined_accuracy.png differ diff --git a/phase3/figures/english_accuracy.png b/phase3/figures/english_accuracy.png new file mode 100644 index 0000000000000000000000000000000000000000..e2be04327d194a8f42e20bf58747e0b671c42852 Binary files /dev/null and b/phase3/figures/english_accuracy.png differ diff --git a/phase3/figures/hindi_accuracy.png b/phase3/figures/hindi_accuracy.png new file mode 100644 index 0000000000000000000000000000000000000000..f9d51e945eae59170fb786762422ed9447fe13f3 Binary files /dev/null and b/phase3/figures/hindi_accuracy.png differ diff --git a/phase3/figures/hinglish_accuracy.png b/phase3/figures/hinglish_accuracy.png new file mode 100644 index 0000000000000000000000000000000000000000..3691117b4d41eb90de384b12d3c86a589bc3bd3e Binary files /dev/null and b/phase3/figures/hinglish_accuracy.png differ diff --git a/phase3/models/english_bilstm.h5 b/phase3/models/english_bilstm.h5 new file mode 100644 index 0000000000000000000000000000000000000000..1337cc9f6b9e80b4649b5bb4b5e561c75252258b --- /dev/null +++ b/phase3/models/english_bilstm.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:559d43379704aabeff4c4dc007d1c85b053e965b2771640ece2f0bb366a5124a +size 12403256 diff --git a/phase3/models/hindi_bilstm.h5 b/phase3/models/hindi_bilstm.h5 new file mode 100644 index 0000000000000000000000000000000000000000..5fdd09fa5b08818146483b2f6bce2e80da626ef7 --- /dev/null +++ b/phase3/models/hindi_bilstm.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c2cc8f175edd8f316a0c271412c8913d47dee852e3684935a6f48ccdd19806fc +size 2141224 diff --git a/phase3/models/hinglish_bilstm.h5 b/phase3/models/hinglish_bilstm.h5 new file mode 100644 index 0000000000000000000000000000000000000000..a32cf56860b4e0ec6e5cf28209cac9421a52316f --- /dev/null +++ b/phase3/models/hinglish_bilstm.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fee008d9fd7100aa5f0ce617f9723da4ae4dad8bf5d2396fab1d84f1f5dbd7bc +size 6755656 diff --git a/phase3/tables/final_results.csv b/phase3/tables/final_results.csv new file mode 100644 index 0000000000000000000000000000000000000000..4a2e00b2e3d22950847a0463cb6226340d3477ed --- /dev/null +++ b/phase3/tables/final_results.csv @@ -0,0 +1,2 @@ +Accuracy,Balanced Accuracy,Precision,Recall,Specificity,F1,ROC AUC +0.701536375960235,0.6987377686384606,0.6859817813765182,0.6592898832684825,0.7381856540084388,0.6723710317460317,0.7692907913855096 diff --git a/phase3/tables/master_metrics.csv b/phase3/tables/master_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..f06e957782795f77253fb816910bd9aba3cc098c --- /dev/null +++ b/phase3/tables/master_metrics.csv @@ -0,0 +1,5 @@ +accuracy,balanced_accuracy,precision,recall,specificity,f1,roc_auc,dataset +0.553224155578301,0.49907663896583565,0.0,0.0,0.9981532770100153,0.0,0.4934352316830507,hindi +0.7813333333333333,0.7813333333333333,0.7890410958904109,0.768,0.7946666661368889,0.7783783783783784,0.8626357777777778,english +0.6729362591431557,0.636187064877409,0.6055363321799307,0.4679144385026738,0.8044596898722819,0.5279034690799397,0.6858907916823365,hinglish +0.6746192893401015,0.662440974110619,0.7193169690501601,0.49107468123861564,0.8338072667191763,0.5836761203723749,0.7499585344026336,combined diff --git a/phase3/tables/metrics.csv b/phase3/tables/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..28b164f7c5eaa58cd4dc8c36725dad3f16ee14d0 --- /dev/null +++ b/phase3/tables/metrics.csv @@ -0,0 +1,2 @@ +accuracy,balanced_accuracy,precision,recall,specificity,f1,roc_auc +0.6746192893401015,0.662440974110619,0.7193169690501601,0.49107468123861564,0.8338072667191763,0.5836761203723749,0.7499585344026336 diff --git a/phase3/tables/strategy_results_table.csv b/phase3/tables/strategy_results_table.csv new file mode 100644 index 0000000000000000000000000000000000000000..71a625f2ce03709f2f6e72b09f6faf0785bf6352 --- /dev/null +++ b/phase3/tables/strategy_results_table.csv @@ -0,0 +1,5 @@ +Strategy,Best Epoch,Accuracy,Balanced Acc,Precision,Recall,Specificity,F1,ROC-AUC +English,3,0.7577388963660835,0.7588410211778358,0.7891737891737892,0.7232375979112271,0.7944444444444444,0.7547683923705722,0.843271322889469 +Hindi,19,0.6206543967280164,0.6050973226141123,0.5652173913043478,0.4964200477326969,0.7137745974955277,0.5285895806861499,0.6246045401565189 +Hinglish,21,0.6625514403292181,0.6223758642363293,0.5714285714285714,0.4540540540540541,0.7906976744186046,0.5060240963855421,0.6602496183891533 +Full Dataset,39,0.6911432444645278,0.6865360619941223,0.6845206213176218,0.6215953307392996,0.7514767932489451,0.6515421871017079,0.748346483073109 diff --git a/phase4/README.md b/phase4/README.md new file mode 100644 index 0000000000000000000000000000000000000000..81525395110ea7b57b77b3648656138410c08062 --- /dev/null +++ b/phase4/README.md @@ -0,0 +1,28 @@ +# Phase 4 - Many-to-One LSTM and Split-Data Hybrids + +[Back to model card](../README.md) | [Dataset repository](https://huggingface.co/datasets/pankajbiswas6/prism-hinglish-hate-speech) + +## Setup +- Goal: add a many-to-one LSTM baseline across embeddings and re-run the BiLSTM hybrids on + consistent split data. +- LSTM config: embedding_dim 100, hidden_dim 128, dropout 0.2, max_seq_len 100, Adam lr 1e-2, + 30 epochs, batch 16. Embeddings: Word2Vec, GloVe, FastText. + +## Results (many-to-one LSTM, regular training) + +| Model | Accuracy | F1 | AUC-ROC | +|-------|----------|------|---------| +| GloVe+LSTM | 0.6779 | 0.5644 | 0.7532 | +| Word2Vec+LSTM | 0.6675 | 0.5892 | 0.7294 | +| FastText+LSTM | 0.6610 | 0.5729 | 0.7208 | + +## Findings +- The plain many-to-one LSTM underperforms the BiLSTM hybrids by ~0.07 to 0.10 F1, confirming + the value of bidirectional context for code-mixed text. +- High specificity but low recall: the LSTM variants lean toward the majority (non-hate) class. + +## Files +- Notebooks: [`notebooks/`](notebooks/) - many_to_one_lstm, ManytooneLSTM +- Figures: [`figures/`](figures/) - per-language accuracy curves +- Tables: [`tables/`](tables/) - master_metrics, metrics +- Models: [`models/`](models/) - combined/english/hindi/hinglish BiLSTM diff --git a/phase4/figures/combined_accuracy.png b/phase4/figures/combined_accuracy.png new file mode 100644 index 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/usr/local/lib/python3.12/dist-packages (from markdown-it-py>=2.2.0->rich->keras>=3.5.0->tensorflow) (0.1.2)\n", + "Building wheels for collected packages: lime\n", + " Building wheel for lime (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for lime: filename=lime-0.2.0.1-py3-none-any.whl size=283834 sha256=cc79be689c263db97fd71d9cd88b8f21f91ebd4d922d6874882ea66ebf638e5d\n", + " Stored in directory: /root/.cache/pip/wheels/e7/5d/0e/4b4fff9a47468fed5633211fb3b76d1db43fe806a17fb7486a\n", + "Successfully built lime\n", + "Installing collected packages: lime\n", + "Successfully installed lime-0.2.0.1\n" + ] + } + ], + "source": [ + "!pip install tensorflow numpy pandas scikit-learn matplotlib lime shap\n" + ] + }, + { + "cell_type": "code", + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import tensorflow as tf\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from tensorflow.keras.preprocessing.text import Tokenizer\n", + "from tensorflow.keras.preprocessing.sequence import pad_sequences\n", + "from tensorflow.keras.layers import Embedding, Bidirectional, LSTM, Dense, Input, Layer\n", + "from tensorflow.keras.models import Model\n", + "from tensorflow.keras.optimizers import Adam\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.metrics import accuracy_score, classification_report\n" + ], + "metadata": { + "id": "-2QgEQLDiidT" + }, + "execution_count": 2, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from google.colab import files\n", + "uploaded = files.upload()\n", + "\n", + "df = pd.read_csv(list(uploaded.keys())[0])\n", + "\n", + "texts = df['text'].astype(str).values\n", + "labels = df['hate_label'].values # ✅ FIXED\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 73 + }, + "id": "FpD-kqDXiqRQ", + "outputId": "d067ce29-1bde-41fa-c040-3afd6207012b" + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " \n", + " Upload widget is only available when the cell has been executed in the\n", + " current browser session. Please rerun this cell to enable.\n", + " \n", + " " + ] + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Saving bprism_c.csv to bprism_c (1).csv\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "MAX_VOCAB = 20000\n", + "MAX_LEN = 100\n", + "\n", + "tokenizer = Tokenizer(num_words=MAX_VOCAB, oov_token=\"\")\n", + "tokenizer.fit_on_texts(texts)\n", + "\n", + "sequences = tokenizer.texts_to_sequences(texts)\n", + "padded_sequences = pad_sequences(\n", + " sequences, maxlen=MAX_LEN, padding='post', truncating='post'\n", + ")\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(\n", + " padded_sequences, labels, test_size=0.2, random_state=42\n", + ")\n" + ], + "metadata": { + "id": "_74C9kAVizSn" + }, + "execution_count": 5, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "!wget http://nlp.stanford.edu/data/glove.6B.zip\n", + "!unzip glove.6B.zip\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "a7T8q5yXkGWq", + "outputId": "3d38060e-25f8-43a6-d421-ce4253bb6df1" + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "--2025-12-27 06:48:13-- http://nlp.stanford.edu/data/glove.6B.zip\n", + "Resolving nlp.stanford.edu (nlp.stanford.edu)... 171.64.67.140\n", + "Connecting to nlp.stanford.edu (nlp.stanford.edu)|171.64.67.140|:80... connected.\n", + "HTTP request sent, awaiting response... 302 Found\n", + "Location: https://nlp.stanford.edu/data/glove.6B.zip [following]\n", + "--2025-12-27 06:48:13-- https://nlp.stanford.edu/data/glove.6B.zip\n", + "Connecting to nlp.stanford.edu (nlp.stanford.edu)|171.64.67.140|:443... connected.\n", + "HTTP request sent, awaiting response... 301 Moved Permanently\n", + "Location: https://downloads.cs.stanford.edu/nlp/data/glove.6B.zip [following]\n", + "--2025-12-27 06:48:14-- https://downloads.cs.stanford.edu/nlp/data/glove.6B.zip\n", + "Resolving downloads.cs.stanford.edu (downloads.cs.stanford.edu)... 171.64.64.22\n", + "Connecting to downloads.cs.stanford.edu (downloads.cs.stanford.edu)|171.64.64.22|:443... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 862182613 (822M) [application/zip]\n", + "Saving to: ‘glove.6B.zip’\n", + "\n", + "glove.6B.zip 100%[===================>] 822.24M 4.63MB/s in 2m 40s \n", + "\n", + "2025-12-27 06:50:54 (5.15 MB/s) - ‘glove.6B.zip’ saved [862182613/862182613]\n", + "\n", + "Archive: glove.6B.zip\n", + " inflating: glove.6B.50d.txt \n", + " inflating: glove.6B.100d.txt \n", + " inflating: glove.6B.200d.txt \n", + " inflating: glove.6B.300d.txt \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "EMBED_DIM = 100\n", + "word_index = tokenizer.word_index\n", + "vocab_size = min(MAX_VOCAB, len(word_index) + 1)\n", + "\n", + "embedding_matrix = np.zeros((vocab_size, EMBED_DIM))\n", + "\n", + "with open(\"glove.6B.100d.txt\", encoding=\"utf8\") as f:\n", + " for line in f:\n", + " values = line.split()\n", + " word = values[0]\n", + " vector = np.asarray(values[1:], dtype=\"float32\")\n", + " if word in word_index and word_index[word] < vocab_size:\n", + " embedding_matrix[word_index[word]] = vector\n" + ], + "metadata": { + "id": "DJNuyGILkKMY" + }, + "execution_count": 7, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "class AttentionLayer(Layer):\n", + " def __init__(self):\n", + " super(AttentionLayer, self).__init__()\n", + "\n", + " def build(self, input_shape):\n", + " self.W = self.add_weight(\n", + " name=\"attention_weight\",\n", + " shape=(input_shape[-1], 1),\n", + " initializer=\"glorot_uniform\",\n", + " trainable=True\n", + " )\n", + " self.b = self.add_weight(\n", + " name=\"attention_bias\",\n", + " shape=(input_shape[1], 1),\n", + " initializer=\"zeros\",\n", + " trainable=True\n", + " )\n", + "\n", + " def call(self, inputs):\n", + " score = tf.nn.tanh(tf.matmul(inputs, self.W) + self.b)\n", + " attention_weights = tf.nn.softmax(score, axis=1)\n", + " context_vector = attention_weights * inputs\n", + " context_vector = tf.reduce_sum(context_vector, axis=1)\n", + " return context_vector, attention_weights\n" + ], + "metadata": { + "id": "dAb_FgFbk7Ix" + }, + "execution_count": 8, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "input_layer = Input(shape=(MAX_LEN,))\n", + "\n", + "embedding_layer = Embedding(\n", + " vocab_size,\n", + " EMBED_DIM,\n", + " weights=[embedding_matrix],\n", + " trainable=False\n", + ")(input_layer)\n", + "\n", + "bilstm_layer = Bidirectional(\n", + " LSTM(128, return_sequences=True)\n", + ")(embedding_layer)\n", + "\n", + "context_vector, attention_weights = AttentionLayer()(bilstm_layer)\n", + "\n", + "output_layer = Dense(1, activation=\"sigmoid\")(context_vector)\n", + "\n", + "model = Model(inputs=input_layer, outputs=output_layer)\n", + "\n", + "model.compile(\n", + " loss=\"binary_crossentropy\",\n", + " optimizer=Adam(learning_rate=0.001),\n", + " metrics=[\"accuracy\"]\n", + ")\n", + "\n", + "model.summary()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 305 + }, + "id": "j8a4WYrHlAFE", + "outputId": "2fb69a31-8a53-4d08-f0ee-8120f46ad69c" + }, + "execution_count": 9, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "\u001b[1mModel: \"functional\"\u001b[0m\n" + ], + "text/html": [ + "
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+              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
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+              "│ input_layer (InputLayer)        │ (None, 100)            │             0 │\n",
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+              "│ (AttentionLayer)                │ 100, 1)]               │               │\n",
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+              "│ dense (Dense)                   │ (None, 1)              │           257 │\n",
+              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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accuracy: 0.7193 - loss: 0.5126 - val_accuracy: 0.6992 - val_loss: 0.5545\n", + "Epoch 4/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 14ms/step - accuracy: 0.7406 - loss: 0.4941 - val_accuracy: 0.7022 - val_loss: 0.5605\n", + "Epoch 5/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.7478 - loss: 0.4757 - val_accuracy: 0.6959 - val_loss: 0.5729\n", + "Epoch 6/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.7541 - loss: 0.4531 - val_accuracy: 0.6997 - val_loss: 0.5729\n", + "Epoch 7/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.7733 - loss: 0.4287 - val_accuracy: 0.6908 - val_loss: 0.6080\n", + "Epoch 8/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.7815 - loss: 0.4125 - val_accuracy: 0.6971 - val_loss: 0.5985\n", + "Epoch 9/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 13ms/step - accuracy: 0.7951 - loss: 0.3876 - val_accuracy: 0.6895 - val_loss: 0.6591\n", + "Epoch 10/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.8010 - loss: 0.3701 - val_accuracy: 0.6874 - val_loss: 0.6490\n", + "Epoch 11/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 15ms/step - accuracy: 0.8115 - loss: 0.3579 - val_accuracy: 0.6916 - val_loss: 0.6907\n", + "Epoch 12/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8177 - loss: 0.3452 - val_accuracy: 0.6929 - val_loss: 0.7421\n", + "Epoch 13/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.8287 - loss: 0.3178 - val_accuracy: 0.6768 - val_loss: 0.7646\n", + "Epoch 14/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8390 - loss: 0.3003 - val_accuracy: 0.6802 - val_loss: 0.8380\n", + "Epoch 15/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8333 - loss: 0.2993 - val_accuracy: 0.6794 - val_loss: 0.8665\n", + "Epoch 16/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.8360 - loss: 0.2876 - val_accuracy: 0.6887 - val_loss: 0.8115\n", + "Epoch 17/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8378 - loss: 0.2877 - val_accuracy: 0.6920 - val_loss: 0.8661\n", + "Epoch 18/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8534 - loss: 0.2702 - val_accuracy: 0.6819 - val_loss: 0.8735\n", + "Epoch 19/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.8438 - loss: 0.2725 - val_accuracy: 0.6739 - val_loss: 0.9648\n", + "Epoch 20/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 13ms/step - accuracy: 0.8417 - loss: 0.2814 - val_accuracy: 0.6870 - val_loss: 0.9659\n", + "Epoch 21/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.8491 - loss: 0.2600 - val_accuracy: 0.6904 - val_loss: 1.0135\n", + "Epoch 22/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8554 - loss: 0.2590 - val_accuracy: 0.6836 - val_loss: 1.0348\n", + "Epoch 23/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8535 - loss: 0.2609 - val_accuracy: 0.6916 - val_loss: 0.9680\n", + "Epoch 24/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.8511 - loss: 0.2567 - val_accuracy: 0.6891 - val_loss: 1.1065\n", + "Epoch 25/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8529 - loss: 0.2522 - val_accuracy: 0.6925 - val_loss: 1.0379\n", + "Epoch 26/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8605 - loss: 0.2480 - val_accuracy: 0.6946 - val_loss: 1.0602\n", + "Epoch 27/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.8564 - loss: 0.2543 - val_accuracy: 0.6861 - val_loss: 1.0222\n", + "Epoch 28/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8589 - loss: 0.2451 - val_accuracy: 0.6908 - val_loss: 1.1285\n", + "Epoch 29/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.8599 - loss: 0.2427 - val_accuracy: 0.7030 - val_loss: 1.1004\n", + "Epoch 30/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8591 - loss: 0.2455 - val_accuracy: 0.6887 - val_loss: 1.1408\n", + "Epoch 31/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8608 - loss: 0.2379 - val_accuracy: 0.6870 - val_loss: 1.1495\n", + "Epoch 32/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.8637 - loss: 0.2374 - val_accuracy: 0.6874 - val_loss: 1.2024\n", + "Epoch 33/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8600 - loss: 0.2444 - val_accuracy: 0.6933 - val_loss: 1.0902\n", + "Epoch 34/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.8658 - loss: 0.2357 - val_accuracy: 0.6967 - val_loss: 1.0906\n", + "Epoch 35/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 16ms/step - accuracy: 0.8673 - loss: 0.2321 - val_accuracy: 0.6925 - val_loss: 1.1971\n", + "Epoch 36/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8644 - loss: 0.2330 - val_accuracy: 0.7001 - val_loss: 1.2568\n", + "Epoch 37/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.8658 - loss: 0.2320 - val_accuracy: 0.6840 - val_loss: 1.2881\n", + "Epoch 38/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 14ms/step - accuracy: 0.8593 - loss: 0.2444 - val_accuracy: 0.6937 - val_loss: 1.1835\n", + "Epoch 39/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.8635 - loss: 0.2395 - val_accuracy: 0.6920 - val_loss: 1.1560\n", + "Epoch 40/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8632 - loss: 0.2432 - val_accuracy: 0.6827 - val_loss: 1.1650\n", + "Epoch 41/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8710 - loss: 0.2281 - val_accuracy: 0.6959 - val_loss: 1.2212\n", + "Epoch 42/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.8689 - loss: 0.2244 - val_accuracy: 0.6946 - val_loss: 1.3072\n", + "Epoch 43/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8623 - loss: 0.2355 - val_accuracy: 0.6908 - val_loss: 1.1535\n", + "Epoch 44/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.8701 - loss: 0.2292 - val_accuracy: 0.6946 - val_loss: 1.1705\n", + "Epoch 45/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.8722 - loss: 0.2240 - val_accuracy: 0.6810 - val_loss: 1.2715\n", + "Epoch 46/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8714 - loss: 0.2235 - val_accuracy: 0.6895 - val_loss: 1.2926\n", + "Epoch 47/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.8708 - loss: 0.2259 - val_accuracy: 0.6967 - val_loss: 1.2702\n", + "Epoch 48/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8701 - loss: 0.2233 - val_accuracy: 0.6959 - val_loss: 1.3388\n", + "Epoch 49/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 14ms/step - accuracy: 0.8695 - loss: 0.2259 - val_accuracy: 0.6988 - val_loss: 1.3213\n", + "Epoch 50/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.8734 - loss: 0.2179 - val_accuracy: 0.7052 - val_loss: 1.4391\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "y_pred = (model.predict(X_test) > 0.5).astype(\"int32\")\n", + "\n", + "print(\"Accuracy:\", accuracy_score(y_test, y_pred))\n", + "print(classification_report(y_test, y_pred))\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "h_AZxWovlHOk", + "outputId": "e759a6c5-ae62-4561-cd99-6a23707e8203" + }, + "execution_count": 12, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[1m185/185\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 10ms/step\n", + "Accuracy: 0.6803722504230119\n", + " precision recall f1-score support\n", + "\n", + " 0 0.68 0.75 0.71 3164\n", + " 1 0.67 0.60 0.64 2746\n", + "\n", + " accuracy 0.68 5910\n", + " macro avg 0.68 0.68 0.68 5910\n", + "weighted avg 0.68 0.68 0.68 5910\n", + "\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "plt.plot(history.history['accuracy'], label='Train Acc')\n", + "plt.plot(history.history['val_accuracy'], label='Val Acc')\n", + "plt.legend()\n", + "plt.title(\"Model Accuracy\")\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 452 + }, + "id": "F6B--i2amUOd", + "outputId": "c0c6f7d4-8ed0-485f-91e8-eb6a74a2bba3" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "def visualize_attention(text):\n", + " seq = tokenizer.texts_to_sequences([text])\n", + " padded = pad_sequences(seq, maxlen=MAX_LEN, padding='post')\n", + "\n", + " attention_model = Model(\n", + " inputs=model.input,\n", + " outputs=model.layers[-2].output[1]\n", + " )\n", + "\n", + " weights = attention_model.predict(padded)[0]\n", + " words = text.split()\n", + "\n", + " weights = weights[:len(words)].flatten()\n", + "\n", + " plt.bar(words, weights)\n", + " plt.xticks(rotation=90)\n", + " plt.title(\"Attention Weights\")\n", + " plt.show()\n", + "\n", + "visualize_attention(\"this movie was absolutely fantastic\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 527 + }, + "id": "Ac1hOVfembjP", + "outputId": "24e74ebd-af0f-4727-d57d-b93db578a969" + }, + "execution_count": 14, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 203ms/step\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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wzzjyRndnlwAAMBChBgCAG+BLa/E5+0srp58AAIARGKnBPY1vUMV3K79BcdyLz9nfXIHShJEaAABgBEINAAAwAqefAOAewWm/4uO0X+nESA0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACDcVambNmqXg4GB5eHgoLCxMmzdvvmH/xYsXq379+vLw8FBoaKhWrFhhX3b58mWNHj1aoaGhKl++vKpWrap+/fopPT3dYRvBwcGy2WwOrzfeeONmygcAAAYqcahZtGiRYmNjNWHCBG3fvl2NGzdWZGSkTpw4UWT/5ORk9e3bVwMHDlRqaqqioqIUFRWlXbt2SZLOnz+v7du369VXX9X27du1ZMkS7du3Tz169Ci0rcmTJysjI8P+Gjp0aEnLBwAAhipxqJk+fboGDRqk6OhoNWjQQAkJCfL09NTcuXOL7D9jxgx169ZNI0eOVEhIiKZMmaJmzZpp5syZkiRvb28lJSXp6aefVr169fTwww9r5syZ2rZtm9LS0hy2VbFiRQUFBdlf5cuXv4mPDAAATFSiUHPp0iVt27ZNERERP2/AxUURERFKSUkpcp2UlBSH/pIUGRl53f6SdObMGdlsNvn4+Di0v/HGG/Lz81PTpk311ltv6cqVK9fdRl5ennJychxeAADAXGVK0vnUqVPKz89XYGCgQ3tgYKD27t1b5DqZmZlF9s/MzCyy/8WLFzV69Gj17dtXXl5e9vZhw4apWbNmqlSpkpKTkzVmzBhlZGRo+vTpRW4nLi5OkyZNKsnHAwAA97AShZrb7fLly3r66adlWZZmz57tsCw2Ntb+c6NGjeTm5qYhQ4YoLi5O7u7uhbY1ZswYh3VycnJUvXr121c8AABwqhKFGn9/f7m6uiorK8uhPSsrS0FBQUWuExQUVKz+1wLN0aNHtXbtWodRmqKEhYXpypUrOnLkiOrVq1doubu7e5FhBwAAmKlEc2rc3NzUvHlzrVmzxt5WUFCgNWvWKDw8vMh1wsPDHfpLUlJSkkP/a4HmwIEDWr16tfz8/H6zlh07dsjFxUUBAQEl+QgAAMBQJT79FBsbq/79+6tFixZq2bKl4uPjlZubq+joaElSv379VK1aNcXFxUmShg8frvbt22vatGnq3r27Fi5cqK1bt2rOnDmSrgaap556Stu3b9fy5cuVn59vn29TqVIlubm5KSUlRZs2bVLHjh1VsWJFpaSkaMSIEXruuefk6+t7q44FAAC4h5U41PTu3VsnT57U+PHjlZmZqSZNmigxMdE+GTgtLU0uLj8PALVq1UoLFizQuHHjNHbsWNWtW1dLly5Vw4YNJUnHjx/XsmXLJElNmjRx2Ne6devUoUMHubu7a+HChZo4caLy8vJUq1YtjRgxwmHODAAAKN1uaqJwTEyMYmJiily2fv36Qm29evVSr169iuwfHBwsy7JuuL9mzZpp48aNJa4TAACUHjz7CQAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABghJsKNbNmzVJwcLA8PDwUFhamzZs337D/4sWLVb9+fXl4eCg0NFQrVqywL7t8+bJGjx6t0NBQlS9fXlWrVlW/fv2Unp7usI3Tp0/r2WeflZeXl3x8fDRw4ECdO3fuZsoHAAAGKnGoWbRokWJjYzVhwgRt375djRs3VmRkpE6cOFFk/+TkZPXt21cDBw5UamqqoqKiFBUVpV27dkmSzp8/r+3bt+vVV1/V9u3btWTJEu3bt089evRw2M6zzz6r3bt3KykpScuXL9eXX36pwYMH38RHBgAAJipxqJk+fboGDRqk6OhoNWjQQAkJCfL09NTcuXOL7D9jxgx169ZNI0eOVEhIiKZMmaJmzZpp5syZkiRvb28lJSXp6aefVr169fTwww9r5syZ2rZtm9LS0iRJ3333nRITE/Xee+8pLCxMbdq00TvvvKOFCxcWGtEBAAClU4lCzaVLl7Rt2zZFRET8vAEXF0VERCglJaXIdVJSUhz6S1JkZOR1+0vSmTNnZLPZ5OPjY9+Gj4+PWrRoYe8TEREhFxcXbdq0qcht5OXlKScnx+EFAADMVaJQc+rUKeXn5yswMNChPTAwUJmZmUWuk5mZWaL+Fy9e1OjRo9W3b195eXnZtxEQEODQr0yZMqpUqdJ1txMXFydvb2/7q3r16sX6jAAA4N50V139dPnyZT399NOyLEuzZ8/+XdsaM2aMzpw5Y38dO3bsFlUJAADuRmVK0tnf31+urq7KyspyaM/KylJQUFCR6wQFBRWr/7VAc/ToUa1du9Y+SnNtG7+eiHzlyhWdPn36uvt1d3eXu7t7sT8bAAC4t5VopMbNzU3NmzfXmjVr7G0FBQVas2aNwsPDi1wnPDzcob8kJSUlOfS/FmgOHDig1atXy8/Pr9A2srOztW3bNnvb2rVrVVBQoLCwsJJ8BAAAYKgSjdRIUmxsrPr3768WLVqoZcuWio+PV25urqKjoyVJ/fr1U7Vq1RQXFydJGj58uNq3b69p06ape/fuWrhwobZu3ao5c+ZIuhponnrqKW3fvl3Lly9Xfn6+fZ5MpUqV5ObmppCQEHXr1k2DBg1SQkKCLl++rJiYGPXp00dVq1a9VccCAADcw0ocanr37q2TJ09q/PjxyszMVJMmTZSYmGifDJyWliYXl58HgFq1aqUFCxZo3LhxGjt2rOrWraulS5eqYcOGkqTjx49r2bJlkqQmTZo47GvdunXq0KGDJGn+/PmKiYlR586d5eLioieffFJvv/32zXxmAABgoBKHGkmKiYlRTExMkcvWr19fqK1Xr17q1atXkf2Dg4NlWdZv7rNSpUpasGBBieoEAAClx1119RMAAMDNItQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADDCTYWaWbNmKTg4WB4eHgoLC9PmzZtv2H/x4sWqX7++PDw8FBoaqhUrVjgsX7Jkibp27So/Pz/ZbDbt2LGj0DY6dOggm83m8PrTn/50M+UDAAADlTjULFq0SLGxsZowYYK2b9+uxo0bKzIyUidOnCiyf3Jysvr27auBAwcqNTVVUVFRioqK0q5du+x9cnNz1aZNG7355ps33PegQYOUkZFhf02dOrWk5QMAAEOVONRMnz5dgwYNUnR0tBo0aKCEhAR5enpq7ty5RfafMWOGunXrppEjRyokJERTpkxRs2bNNHPmTHufP/7xjxo/frwiIiJuuG9PT08FBQXZX15eXiUtHwAAGKpEoebSpUvatm2bQ/hwcXFRRESEUlJSilwnJSWlUFiJjIy8bv8bmT9/vvz9/dWwYUONGTNG58+fv27fvLw85eTkOLwAAIC5ypSk86lTp5Sfn6/AwECH9sDAQO3du7fIdTIzM4vsn5mZWaJCn3nmGdWsWVNVq1bVN998o9GjR2vfvn1asmRJkf3j4uI0adKkEu0DAADcu0oUapxp8ODB9p9DQ0NVpUoVde7cWd9//73q1KlTqP+YMWMUGxtrf5+Tk6Pq1avfkVoBAMCdV6JQ4+/vL1dXV2VlZTm0Z2VlKSgoqMh1goKCStS/uMLCwiRJBw8eLDLUuLu7y93d/XftAwAA3DtKNKfGzc1NzZs315o1a+xtBQUFWrNmjcLDw4tcJzw83KG/JCUlJV23f3Fdu+y7SpUqv2s7AADADCU+/RQbG6v+/furRYsWatmypeLj45Wbm6vo6GhJUr9+/VStWjXFxcVJkoYPH6727dtr2rRp6t69uxYuXKitW7dqzpw59m2ePn1aaWlpSk9PlyTt27dPkuxXOX3//fdasGCBHnnkEfn5+embb77RiBEj1K5dOzVq1Oh3HwQAAHDvK3Go6d27t06ePKnx48crMzNTTZo0UWJion0ycFpamlxcfh4AatWqlRYsWKBx48Zp7Nixqlu3rpYuXaqGDRva+yxbtsweiiSpT58+kqQJEyZo4sSJcnNz0+rVq+0Bqnr16nryySc1bty4m/7gAADALDc1UTgmJkYxMTFFLlu/fn2htl69eqlXr17X3d6AAQM0YMCA6y6vXr26vvjii5KWCQAAShGe/QQAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYISbCjWzZs1ScHCwPDw8FBYWps2bN9+w/+LFi1W/fn15eHgoNDRUK1ascFi+ZMkSde3aVX5+frLZbNqxY0ehbVy8eFEvvfSS/Pz8VKFCBT355JPKysq6mfIBAICBShxqFi1apNjYWE2YMEHbt29X48aNFRkZqRMnThTZPzk5WX379tXAgQOVmpqqqKgoRUVFadeuXfY+ubm5atOmjd58883r7nfEiBH63//+p8WLF+uLL75Qenq6evbsWdLyAQCAoUocaqZPn65BgwYpOjpaDRo0UEJCgjw9PTV37twi+8+YMUPdunXTyJEjFRISoilTpqhZs2aaOXOmvc8f//hHjR8/XhEREUVu48yZM/r3v/+t6dOnq1OnTmrevLnef/99JScna+PGjSX9CAAAwEAlCjWXLl3Stm3bHMKHi4uLIiIilJKSUuQ6KSkphcJKZGTkdfsXZdu2bbp8+bLDdurXr68aNWpcdzt5eXnKyclxeAEAAHOVKNScOnVK+fn5CgwMdGgPDAxUZmZmketkZmaWqP/1tuHm5iYfH59ibycuLk7e3t72V/Xq1Yu9PwAAcO8x9uqnMWPG6MyZM/bXsWPHnF0SAAC4jcqUpLO/v79cXV0LXXWUlZWloKCgItcJCgoqUf/rbePSpUvKzs52GK250Xbc3d3l7u5e7H0AAIB7W4lGatzc3NS8eXOtWbPG3lZQUKA1a9YoPDy8yHXCw8Md+ktSUlLSdfsXpXnz5ipbtqzDdvbt26e0tLQSbQcAAJirRCM1khQbG6v+/furRYsWatmypeLj45Wbm6vo6GhJUr9+/VStWjXFxcVJkoYPH6727dtr2rRp6t69uxYuXKitW7dqzpw59m2ePn1aaWlpSk9Pl3Q1sEhXR2iCgoLk7e2tgQMHKjY2VpUqVZKXl5eGDh2q8PBwPfzww7/7IAAAgHtfiUNN7969dfLkSY0fP16ZmZlq0qSJEhMT7ZOB09LS5OLy8wBQq1attGDBAo0bN05jx45V3bp1tXTpUjVs2NDeZ9myZfZQJEl9+vSRJE2YMEETJ06UJP3jH/+Qi4uLnnzySeXl5SkyMlL//Oc/b+pDAwAA85Q41EhSTEyMYmJiily2fv36Qm29evVSr169rru9AQMGaMCAATfcp4eHh2bNmqVZs2aVpFQAAFBKGHv1EwAAKF0INQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjHBToWbWrFkKDg6Wh4eHwsLCtHnz5hv2X7x4serXry8PDw+FhoZqxYoVDssty9L48eNVpUoVlStXThERETpw4IBDn+DgYNlsNofXG2+8cTPlAwAAA5U41CxatEixsbGaMGGCtm/frsaNGysyMlInTpwosn9ycrL69u2rgQMHKjU1VVFRUYqKitKuXbvsfaZOnaq3335bCQkJ2rRpk8qXL6/IyEhdvHjRYVuTJ09WRkaG/TV06NCSlg8AAAxV4lAzffp0DRo0SNHR0WrQoIESEhLk6empuXPnFtl/xowZ6tatm0aOHKmQkBBNmTJFzZo108yZMyVdHaWJj4/XuHHj9Pjjj6tRo0aaN2+e0tPTtXTpUodtVaxYUUFBQfZX+fLlS/6JAQCAkUoUai5duqRt27YpIiLi5w24uCgiIkIpKSlFrpOSkuLQX5IiIyPt/Q8fPqzMzEyHPt7e3goLCyu0zTfeeEN+fn5q2rSp3nrrLV25cuW6tebl5SknJ8fhBQAAzFWmJJ1PnTql/Px8BQYGOrQHBgZq7969Ra6TmZlZZP/MzEz78mtt1+sjScOGDVOzZs1UqVIlJScna8yYMcrIyND06dOL3G9cXJwmTZpUko8HAADuYSUKNc4UGxtr/7lRo0Zyc3PTkCFDFBcXJ3d390L9x4wZ47BOTk6OqlevfkdqBQAAd16JTj/5+/vL1dVVWVlZDu1ZWVkKCgoqcp2goKAb9r/2Z0m2KUlhYWG6cuWKjhw5UuRyd3d3eXl5ObwAAIC5ShRq3Nzc1Lx5c61Zs8beVlBQoDVr1ig8PLzIdcLDwx36S1JSUpK9f61atRQUFOTQJycnR5s2bbruNiVpx44dcnFxUUBAQEk+AgAAMFSJTz/Fxsaqf//+atGihVq2bKn4+Hjl5uYqOjpaktSvXz9Vq1ZNcXFxkqThw4erffv2mjZtmrp3766FCxdq69atmjNnjiTJZrPp5Zdf1muvvaa6deuqVq1aevXVV1W1alVFRUVJujrZeNOmTerYsaMqVqyolJQUjRgxQs8995x8fX1v0aEAAAD3shKHmt69e+vkyZMaP368MjMz1aRJEyUmJton+qalpcnF5ecBoFatWmnBggUaN26cxo4dq7p162rp0qVq2LChvc+oUaOUm5urwYMHKzs7W23atFFiYqI8PDwkXT2VtHDhQk2cOFF5eXmqVauWRowY4TBnBgAAlG43NVE4JiZGMTExRS5bv359obZevXqpV69e192ezWbT5MmTNXny5CKXN2vWTBs3bryZUgEAQCnBs58AAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxwU6Fm1qxZCg4OloeHh8LCwrR58+Yb9l+8eLHq168vDw8PhYaGasWKFQ7LLcvS+PHjVaVKFZUrV04RERE6cOCAQ5/Tp0/r2WeflZeXl3x8fDRw4ECdO3fuZsoHAAAGKnGoWbRokWJjYzVhwgRt375djRs3VmRkpE6cOFFk/+TkZPXt21cDBw5UamqqoqKiFBUVpV27dtn7TJ06VW+//bYSEhK0adMmlS9fXpGRkbp48aK9z7PPPqvdu3crKSlJy5cv15dffqnBgwffxEcGAAAmKnGomT59ugYNGqTo6Gg1aNBACQkJ8vT01Ny5c4vsP2PGDHXr1k0jR45USEiIpkyZombNmmnmzJmSro7SxMfHa9y4cXr88cfVqFEjzZs3T+np6Vq6dKkk6bvvvlNiYqLee+89hYWFqU2bNnrnnXe0cOFCpaen3/ynBwAAxihTks6XLl3Stm3bNGbMGHubi4uLIiIilJKSUuQ6KSkpio2NdWiLjIy0B5bDhw8rMzNTERER9uXe3t4KCwtTSkqK+vTpo5SUFPn4+KhFixb2PhEREXJxcdGmTZv0xBNPFNpvXl6e8vLy7O/PnDkjScrJySnJRy62grzzt2W7JrqVfwcc9+LjuDsHx905OO7OcTt+x17bpmVZv9m3RKHm1KlTys/PV2BgoEN7YGCg9u7dW+Q6mZmZRfbPzMy0L7/WdqM+AQEBjoWXKaNKlSrZ+/xaXFycJk2aVKi9evXq1/t4uEO8451dQenEcXcOjrtzcNyd43Ye97Nnz8rb2/uGfUoUau4lY8aMcRghKigo0OnTp+Xn5yebzebEyu6MnJwcVa9eXceOHZOXl5ezyyk1OO7OwXF3Do67c5S2425Zls6ePauqVav+Zt8ShRp/f3+5uroqKyvLoT0rK0tBQUFFrhMUFHTD/tf+zMrKUpUqVRz6NGnSxN7n1xORr1y5otOnT193v+7u7nJ3d3do8/HxufEHNJCXl1ep+Ed/t+G4OwfH3Tk47s5Rmo77b43QXFOiicJubm5q3ry51qxZY28rKCjQmjVrFB4eXuQ64eHhDv0lKSkpyd6/Vq1aCgoKcuiTk5OjTZs22fuEh4crOztb27Zts/dZu3atCgoKFBYWVpKPAAAADFXi00+xsbHq37+/WrRooZYtWyo+Pl65ubmKjo6WJPXr10/VqlVTXFycJGn48OFq3769pk2bpu7du2vhwoXaunWr5syZI0my2Wx6+eWX9dprr6lu3bqqVauWXn31VVWtWlVRUVGSpJCQEHXr1k2DBg1SQkKCLl++rJiYGPXp06dYw1EAAMB8JQ41vXv31smTJzV+/HhlZmaqSZMmSkxMtE/0TUtLk4vLzwNArVq10oIFCzRu3DiNHTtWdevW1dKlS9WwYUN7n1GjRik3N1eDBw9Wdna22rRpo8TERHl4eNj7zJ8/XzExMercubNcXFz05JNP6u233/49n91o7u7umjBhQqFTcLi9OO7OwXF3Do67c3Dcr89mFecaKQAAgLscz34CAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACocYgx44d0w8//GB/v3nzZr388sv2Gx0CJrlw4YLOn//56clHjx5VfHy8Vq1a5cSqzLdu3Tpnl1DqxMXFae7cuYXa586dqzfffNMJFd29CDUGeeaZZ+z/4WRmZqpLly7avHmz/vrXv2ry5MlOrs58H330kVq3bq2qVavq6NGjkqT4+Hh99tlnTq7MTI8//rjmzZsnScrOzlZYWJimTZumxx9/XLNnz3Zydebq1q2b6tSpo9dee03Hjh1zdjmlwrvvvqv69esXan/wwQeVkJDghIruXoQag+zatUstW7aUJP33v/9Vw4YNlZycrPnz5+uDDz5wbnGGmz17tmJjY/XII48oOztb+fn5kq4+RDU+Pt65xRlq+/btatu2rSTpk08+UWBgoI4ePap58+Zxt/Hb6Pjx44qJidEnn3yi2rVrKzIyUv/973916dIlZ5dmrMzMTIcHPl9TuXJlZWRkOKGiuxehxiCXL1+23zZ79erV6tGjhySpfv36/MO/zd555x3961//0l//+le5urra21u0aKFvv/3WiZWZ6/z586pYsaIkadWqVerZs6dcXFz08MMP20fKcOv5+/trxIgR2rFjhzZt2qQHHnhAL774oqpWraphw4Zp586dzi7RONWrV9eGDRsKtW/YsIHnH/4KocYg14Yiv/rqKyUlJalbt26SpPT0dPn5+Tm5OrMdPnxYTZs2LdTu7u6u3NxcJ1Rkvvvvv19Lly7VsWPHtHLlSnXt2lWSdOLECXl5eTm5utKhWbNmGjNmjGJiYnTu3DnNnTtXzZs3V9u2bbV7925nl2eMQYMG6eWXX9b777+vo0eP6ujRo5o7d65GjBihQYMGObu8uwqhxiBvvvmm3n33XXXo0EF9+/ZV48aNJUnLli2zn5bC7VGrVi3t2LGjUHtiYqJCQkLufEGlwPjx4/XnP/9ZwcHBCgsLU3h4uKSrozZFBUzcOpcvX9Ynn3yiRx55RDVr1tTKlSs1c+ZMZWVl6eDBg6pZs6Z69erl7DKNMXLkSA0cOFAvvviiateurdq1a2vo0KEaNmyYxowZ4+zy7io80NIw+fn5ysnJka+vr73tyJEj8vT0VEBAgBMrM9t7772niRMnatq0aRo4cKDee+89ff/994qLi9N7772nPn36OLtEI2VmZiojI0ONGzeWi8vV72ibN2+Wl5dXkRMr8fsNHTpUH3/8sSzL0h//+Ee98MILatiwoUOfzMxMVa1aVQUFBU6q0kznzp3Td999p3Llyqlu3bo8pbsIhBrgFpk/f74mTpyo77//XpJUtWpVTZo0SQMHDnRyZcCt07lzZ73wwgvq2bPndX+pXrlyRRs2bFD79u3vcHUo7Qg197hmzZppzZo18vX1VdOmTWWz2a7bd/v27XewstLr/PnzOnfuHCNjd8DWrVv13//+V2lpaYWuvlmyZImTqgJ+v549e+qDDz6Ql5eXevbsecO+/Fv/WRlnF4Df5/HHH7d/W4qKinJuMZAkeXp6ytPT09llGG/hwoXq16+fIiMjtWrVKnXt2lX79+9XVlaWnnjiCWeXZ5Rly5YVu++1qy7x+3h7e9u/pHp5ed3wCyt+xkgNcJMYJXOuRo0aaciQIXrppZdUsWJF7dy5U7Vq1dKQIUNUpUoVTZo0ydklGuPafKXfYrPZ7PdoApyBkRoDXbp0SSdOnCg0Sa9GjRpOqshMvxwle/zxx/kmdYd9//336t69uyTJzc1Nubm5stlsGjFihDp16kSouYWY8OtcnTp10pIlS+Tj4+PQnpOTo6ioKK1du9Y5hd2FCDUG2b9/vwYOHKjk5GSHdsuy+AZ1G0yYMMH+88SJE51XSCnl6+urs2fPSpKqVaumXbt2KTQ0VNnZ2Q7PhMLtc/HiRXl4eDi7DOOtX7++yDs2X7x4UV999ZUTKrp7EWoMEh0drTJlymj58uWqUqUKIwd30AsvvKDnnntOHTp0cHYppUa7du2UlJSk0NBQ9erVS8OHD9fatWuVlJSkzp07O7s8Y+Xn5+v1119XQkKCsrKytH//ftWuXVuvvvqqgoODudrvFvrmm2/sP+/Zs0eZmZn29/n5+UpMTFS1atWcUdpdizk1Bilfvry2bdvG/Tmc4PHHH9fKlStVuXJl9enTR88995z95oe4PU6fPq2LFy/a74cydepUJScnq27duho3bpzDvZpw60yePFkffvihJk+erEGDBmnXrl2qXbu2Fi1apPj4eKWkpDi7RGO4uLjYv5wW9au6XLlyeuedd/T888/f6dLuWoQagzz00EP6xz/+oTZt2ji7lFLpp59+0uLFi7VgwQJ99dVXql+/vp599lk988wzCg4OdnZ5xunXr586duyodu3aqU6dOs4up9S4//779e6776pz5872Cdq1a9fW3r17FR4erp9++snZJRrj6NGjsixLtWvX1ubNm1W5cmX7Mjc3NwUEBDg8aw6EmnteTk6O/eetW7dq3Lhxev311xUaGqqyZcs69OV5OHfODz/8oI8//lhz587VgQMHdOXKFWeXZJwXXnhBX375pQ4ePKhq1aqpffv26tChg9q3b6+6des6uzxjlStXTnv37lXNmjUdQs2ePXvUsmVLnTt3ztklohTj2U/3OB8fH/n6+srX11ddunTRxo0b1blzZwUEBNjbr/XBnXH58mVt3bpVmzZt0pEjRxQYGOjskoz03nvvaf/+/Tp27JimTp2qChUqaNq0aapfv77uu+8+Z5dnrAYNGhQ5OfWTTz7hmVu3yYcffqjPP//c/n7UqFHy8fFRq1ateCL9rzBR+B63bt06+89HjhxR9erVCw1HFhQUKC0t7U6XVuqsW7dOCxYs0KeffqqCggL17NlTy5cvV6dOnZxdmtF8fX3l5+dnD/BlypRxGKbHrTV+/Hj1799fx48fV0FBgZYsWaJ9+/Zp3rx5Wr58ubPLM9Lrr7+u2bNnS5JSUlI0c+ZMxcfHa/ny5RoxYgR3FP4FTj8ZxNXVVRkZGYVuz//jjz8qICCAS7pvo2rVqun06dPq1q2bnn32WT322GM8bO42Gzt2rNavX6/U1FSFhITYTz+1a9eOkcnb7KuvvtLkyZO1c+dOnTt3Ts2aNdP48ePVtWtXZ5dmJE9PT+3du1c1atTQ6NGjlZGRoXnz5mn37t3q0KGDTp486ewS7xqM1Bjk2v1ofu3cuXPcS+I2mzhxonr16lXo5li4fd544w1VrlxZEyZMUM+ePfXAAw84u6RSo23btkpKSnJ2GaVGhQoV9OOPP6pGjRpatWqVYmNjJUkeHh66cOGCk6u7uxBqDHDtH7jNZtOrr77q8Nyh/Px8bdq0SU2aNHFSdaXDoEGD7D//8MMPksS8jtssNTVVX3zxhdavX69p06bJzc3NPlrToUMHQs5tUrt2bW3ZskV+fn4O7dnZ2WrWrJkOHTrkpMrM1aVLF73wwgtq2rSp9u/fr0ceeUSStHv3bq6s/BUmChsgNTVVqampsixL3377rf19amqq9u7dq8aNG+uDDz5wdplGKygo0OTJk+Xt7a2aNWuqZs2a8vHx0ZQpU7jF/G3SuHFjDRs2TEuWLNHJkye1YsUKubm56aWXXlJISIizyzPWkSNHijyVnZeXp+PHjzuhIvPNmjVL4eHhOnnypD799FN7oNy2bZv69u3r5OruLozUGODaZOHo6GjNmDGDS7ed4K9//av+/e9/64033lDr1q0lSV9//bUmTpyoixcv6m9/+5uTKzSPZVlKTU3V+vXrtX79en399dfKyclRo0aN1L59e2eXZ5xfPql75cqV8vb2tr/Pz8/XmjVrGDW4TXx8fDRz5sxC7TzfrDAmCgO3QNWqVZWQkKAePXo4tH/22Wd68cUX+QZ7G/j6+urcuXNq3Lix/bRT27Ztmdd0m1x7UrfNZit0d9uyZcsqODhY06ZN06OPPuqM8kqF8+fPKy0trdBzoBo1auSkiu4+jNQAt8Dp06eLfDxF/fr1dfr0aSdUZL7//Oc/atu2LSOTd8i106i1atXSli1b5O/v7+SKSo+TJ09qwIABSkxMLHI5V7b+jDk1wC3QuHHjIoeHZ86cyTOgbpPu3bsTaJzg8OHDBJo77OWXX9aZM2e0adMmlStXTomJifrwww9Vt25dh9OC4PQTcEt88cUX6t69u2rUqKHw8HBJV2+SlZaWpv/3//6f2rZt6+QKgVtj8uTJN1w+fvz4O1RJ6VGlShV99tlnatmypby8vLR161Y98MADWrZsmaZOnaqvv/7a2SXeNQg1wC1y/PhxzZ49W999950kKSQkRC+++KKqVq3q5MqAW+fXj0K4fPmyDh8+rDJlyqhOnTravn27kyozl5eXl7755hsFBwerZs2aWrBggVq3bq3Dhw/rwQcf1Pnz551d4l2DOTXALeLn56cePXro4Ycfts8/2Lp1qyQVmkAM3KtSU1MLteXk5GjAgAF64oknnFCR+erVq6d9+/YpODhYjRs31rvvvqvg4GAlJCSoSpUqzi7vrsJIDXALJCYmql+/fvrxxx8LXRlis9mYyAfjffvtt3rsscd05MgRZ5dinP/85z+6cuWKBgwYoG3btqlbt246ffq03Nzc9MEHH6h3797OLvGuQagBboG6deuqa9euGj9+PE/lRqn09ddf67HHHtNPP/3k7FKMd/78efuzoJi07YhQA9wCXl5eSk1NVZ06dZxdCnBbvf322w7vLctSRkaGPvroI7Vv314LFixwUmXmmjx5sv785z87PAJHki5cuKC33nqLydm/QKgBboHnn39erVu31sCBA51dCnBb1apVy+G9i4uLKleurE6dOmnMmDGqWLGikyozl6urqzIyMhQQEODQ/uOPPyogIIDT279AqAFugfPnz6tXr16qXLmyQkNDVbZsWYflw4YNc1JlAO51Li4uysrKUuXKlR3a165dq969e+vkyZNOquzuw9VPwC3w8ccfa9WqVfLw8ND69etls9nsy2w2G6EGQIn5+vrKZrPJZrPpgQcecPh/JT8/X+fOndOf/vQnJ1Z492GkBrgFgoKCNGzYMP3lL3+xPyMHMEXPnj2L3XfJkiW3sZLS5cMPP5RlWXr++ecVHx/v8BBRNzc3BQcH22/2iasYqQFugUuXLql3794EGhjpl79Mcef0799f0tV5TK1atSp0WhuFMVID3AIjRoxQ5cqVNXbsWGeXAsBABQUFOnjwoE6cOGG/uec17dq1c1JVdx9GaoBbID8/X1OnTtXKlSvVqFGjQt+opk+f7qTKgNvj5MmT2rdvn6Srd7z99SRW3DobN27UM888o6NHj3Jzz9/ASA1wC3Ts2PG6y2w2m9auXXsHqwFun9zcXA0dOlTz5s2zjxi4urqqX79+eueddwrdSwW/X5MmTfTAAw9o0qRJqlKlisOEYYnTg79EqAEAFNuQIUO0evVqzZw5U61bt5Z09W7Cw4YNU5cuXTR79mwnV2ie8uXLa+fOnbr//vudXcpdj1ADACg2f39/ffLJJ+rQoYND+7p16/T0009zz5TboFOnTho1apS6devm7FLuesypAQAU2/nz54t8vllAQIDOnz/vhIrMN3ToUL3yyivKzMws8uaejRo1clJldx9GagAAxda5c2f5+flp3rx58vDwkHT1GUT9+/fX6dOntXr1aidXaJ6ibhVhs9lkWRYThX+FUAMAKLZdu3YpMjJSeXl5aty4sSRp586d8vDw0MqVK/Xggw86uULzHD169IbLa9aseYcqufsRagAAJXL+/HnNnz9fe/fulSSFhITo2WefVbly5ZxcGUo7Qg0AAPeAPXv2KC0tTZcuXXJo79Gjh5MquvswURgAUGwffvih/P391b17d0nSqFGjNGfOHDVo0EAff/wxp0Jug0OHDumJJ57Qt99+a59LI8l+vxrm1PyMB9UAAIrt9ddft59mSklJ0cyZMzV16lT5+/trxIgRTq7OTMOHD1etWrV04sQJeXp6avfu3fryyy/VokULrV+/3tnl3VU4/QQAKDZPT0/t3btXNWrU0OjRo5WRkaF58+Zp9+7d6tChA/epuQ38/f21du1aNWrUSN7e3tq8ebPq1auntWvX6pVXXlFqaqqzS7xrMFIDACi2ChUq6Mcff5QkrVq1Sl26dJEkeXh46MKFC84szVj5+fmqWLGipKsBJz09XdLVq56uPX8LVzGnBgBQbF26dNELL7ygpk2bav/+/XrkkUckSbt371ZwcLBzizNUw4YNtXPnTtWqVUthYWGaOnWq3NzcNGfOHNWuXdvZ5d1VGKkBABTbrFmzFB4erpMnT+rTTz+Vn5+fJGnbtm3q27evk6szxzfffGN/YOi4cePsk4MnT56sw4cPq23btlqxYoXefvttZ5Z512FODQAAdxlXV1dlZGQoICBAtWvX1pYtW+wBUpJOnz4tX1/fQk/sLu04/QQAKJGffvpJ//73v/Xdd99Junrzveeff16VKlVycmXm8PHx0eHDhxUQEKAjR47YR22u4VgXjZEaAECxffnll3rsscfk7e2tFi1aSLp66ik7O1v/+9//1K5dOydXaIbBgwdr3rx5qlKlitLS0nTffffJ1dW1yL6HDh26w9XdvQg1AIBiCw0NVXh4uGbPnm3/JZufn68XX3xRycnJ+vbbb51coTkSExN18OBBDRs2TJMnT7ZfAfVrw4cPv8OV3b0INQCAYitXrpx27NihevXqObTv27dPTZo04bLu2yA6Olpvv/32dUMNfsbVTwCAYmvWrJl9Ls0vfffdd/anduPWev/99wk0xcREYQDADX3zzTf2n4cNG6bhw4fr4MGDevjhhyVJGzdu1KxZs/TGG284q0RAEqefAAC/wcXFxeFBitdjs9l4uCKcipEaAMANHT582NklAMVCqAEA3FDNmjULte3Zs0dpaWm6dOmSvc1msxXZF7hTCDUAgGI7dOiQnnjiCX377bcOp6Su3dmW009wJq5+AgAU2/Dhw1WrVi2dOHFCnp6e2rVrl7788ku1aNFC69evd3Z5KOWYKAwAKDZ/f3+tXbtWjRo1kre3tzZv3qx69epp7dq1euWVV5SamursElGKMVIDACi2/Px8+z1T/P39lZ6eLunqvJt9+/Y5szSAOTUAgOJr2LChdu7cqVq1aiksLExTp06Vm5ub5syZo9q1azu7PJRynH4CABTbypUrlZubq549e+rgwYN69NFHtX//fvn5+WnRokXq1KmTs0tEKUaoAQD8LqdPn5avr6/9CijAWQg1AADACEwUBgAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAY4f8DimC109IujTEAAAAASUVORK5CYII=\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "from lime.lime_text import LimeTextExplainer\n", + "\n", + "class_names = ['Negative', 'Positive']\n", + "\n", + "def predictor(texts):\n", + " seq = tokenizer.texts_to_sequences(texts)\n", + " pad = pad_sequences(seq, maxlen=MAX_LEN, padding='post')\n", + " return np.hstack([(1 - model.predict(pad)), model.predict(pad)])\n", + "\n", + "explainer = LimeTextExplainer(class_names=class_names)\n", + "\n", + "exp = explainer.explain_instance(\n", + " \"this movie was extremely boring\",\n", + " predictor,\n", + " num_features=6\n", + ")\n", + "\n", + "exp.show_in_notebook()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 221 + }, + "id": "ryFxBK3jmg7h", + "outputId": "024c7cd4-015f-4d56-dd5c-42f50ab2a030" + }, + "execution_count": 15, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[1m157/157\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step\n", + "\u001b[1m157/157\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " " + ] + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "model.save(\"glove_bilstm_attention_full.h5\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rX5VtgY1mjtp", + "outputId": "baacadcc-a956-4b64-a27e-6c94bb58404c" + }, + "execution_count": 16, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "w2yulbramsX5" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file diff --git a/phase4/notebooks/many_to_one_lstm.ipynb b/phase4/notebooks/many_to_one_lstm.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..ee34fb3de29ca8337ef276c303d549dd8f712c34 --- /dev/null +++ b/phase4/notebooks/many_to_one_lstm.ipynb @@ -0,0 +1,1012 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "jXf7mqJXO5eK" + }, + "outputs": [], + "source": [ + "# ==============================\n", + "# 1. IMPORT LIBRARIES\n", + "# ==============================\n", + "import pandas as pd\n", + "import numpy as np\n", + "import re\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.metrics import (\n", + " accuracy_score, precision_score, recall_score,\n", + " f1_score, roc_auc_score, confusion_matrix\n", + ")\n", + "\n", + "from tensorflow.keras.preprocessing.text import Tokenizer\n", + "from tensorflow.keras.preprocessing.sequence import pad_sequences\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import (\n", + " Embedding, LSTM, Bidirectional, Dense, Dropout\n", + ")\n", + "from tensorflow.keras.callbacks import EarlyStopping\n", + "from tensorflow.keras.optimizers import Adam\n", + "from sklearn.utils.class_weight import compute_class_weight\n" + ] + }, + { + "cell_type": "code", + "source": [ + "# ==============================\n", + "# 2. LOAD DATASET\n", + "# ==============================\n", + "df = pd.read_csv(\"bprism.csv\")\n", + "\n", + "df = df[['text', 'hate_label']]\n", + "df.dropna(inplace=True)\n", + "\n", + "df['hate_label'] = df['hate_label'].astype(int)\n", + "\n", + "print(df['hate_label'].value_counts())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "PqgaHEWdPCn1", + "outputId": "73d9c1c7-7535-4481-8019-e01ded9588cd" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "hate_label\n", + "0 15825\n", + "1 13725\n", + "Name: count, dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ==============================\n", + "# 3. TEXT CLEANING (HINGLISH)\n", + "# ==============================\n", + "def clean_text(text):\n", + " text = text.lower()\n", + " text = re.sub(r\"http\\S+\", \"\", text)\n", + " text = re.sub(r\"@\\w+|#\\w+\", \"\", text)\n", + " text = re.sub(r\"[^a-zA-Z\\s]\", \"\", text)\n", + " text = re.sub(r\"\\s+\", \" \", text).strip()\n", + " return text\n", + "\n", + "df['text'] = df['text'].apply(clean_text)\n" + ], + "metadata": { + "id": "dHb4WYCNPMq3" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# ==============================\n", + "# 4. TRAIN-TEST SPLIT\n", + "# ==============================\n", + "X_train, X_test, y_train, y_test = train_test_split(\n", + " df['text'], df['hate_label'],\n", + " test_size=0.2,\n", + " stratify=df['hate_label'],\n", + " random_state=42\n", + ")\n" + ], + "metadata": { + "id": "n4Xwj8YbPUO0" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# ==============================\n", + "# 5. TOKENIZATION & PADDING\n", + "# ==============================\n", + "MAX_WORDS = 30000\n", + "MAX_LEN = 120\n", + "\n", + "tokenizer = Tokenizer(num_words=MAX_WORDS, oov_token=\"\")\n", + "tokenizer.fit_on_texts(X_train)\n", + "\n", + "X_train_seq = tokenizer.texts_to_sequences(X_train)\n", + "X_test_seq = tokenizer.texts_to_sequences(X_test)\n", + "\n", + "X_train_pad = pad_sequences(X_train_seq, maxlen=MAX_LEN, padding='post')\n", + "X_test_pad = pad_sequences(X_test_seq, maxlen=MAX_LEN, padding='post')\n" + ], + "metadata": { + "id": "Gngj08oaQzVG" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# ==============================\n", + "# 6. CLASS WEIGHTS (IMBALANCE FIX)\n", + "# ==============================\n", + "class_weights = compute_class_weight(\n", + " class_weight='balanced',\n", + " classes=np.unique(y_train),\n", + " y=y_train\n", + ")\n", + "\n", + "class_weight_dict = dict(enumerate(class_weights))\n", + "print(class_weight_dict)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "mg_vCgFzQ2zo", + "outputId": "d9570341-3718-448b-d724-c20215a6ea30" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "{0: np.float64(0.933649289099526), 1: np.float64(1.0765027322404372)}\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ==============================\n", + "# 7. MANY-TO-ONE BI-LSTM MODEL\n", + "# ==============================\n", + "model = Sequential([\n", + " Embedding(MAX_WORDS, 128, input_length=MAX_LEN),\n", + "\n", + " Bidirectional(LSTM(\n", + " 128,\n", + " return_sequences=False\n", + " )),\n", + "\n", + " Dropout(0.4),\n", + "\n", + " Dense(64, activation='relu'),\n", + " Dropout(0.3),\n", + "\n", + " Dense(1, activation='sigmoid')\n", + "])\n", + "\n", + "model.compile(\n", + " optimizer=Adam(learning_rate=0.0005),\n", + " loss='binary_crossentropy',\n", + " metrics=['accuracy']\n", + ")\n", + "\n", + "model.summary()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 376 + }, + "id": "ek7rIHcrQ55i", + "outputId": "25a09379-9b9a-4d23-adcd-d778fab347c6" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:97: UserWarning: Argument `input_length` is deprecated. Just remove it.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "\u001b[1mModel: \"sequential\"\u001b[0m\n" + ], + "text/html": [ + "
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+              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
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\n" + ] + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ==============================\n", + "# 8. TRAINING\n", + "# ==============================\n", + "early_stop = EarlyStopping(\n", + " monitor='val_loss',\n", + " patience=3,\n", + " restore_best_weights=True\n", + ")\n", + "\n", + "history = model.fit(\n", + " X_train_pad, y_train,\n", + " validation_split=0.1,\n", + " epochs=50,\n", + " batch_size=64,\n", + " callbacks=[early_stop],\n", + " class_weight=class_weight_dict,\n", + " verbose=1\n", + ")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4av9R49xQ8Y9", + "outputId": "45b5343a-9dc7-4dc4-fea8-a707dcfe3cb0" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Epoch 1/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 18ms/step - accuracy: 0.6873 - loss: 0.5554 - val_accuracy: 0.6591 - val_loss: 0.5674\n", + "Epoch 2/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 18ms/step - accuracy: 0.7618 - loss: 0.4247 - val_accuracy: 0.6641 - val_loss: 0.6179\n", + "Epoch 3/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 18ms/step - accuracy: 0.8020 - loss: 0.3417 - val_accuracy: 0.6565 - val_loss: 0.6854\n", + "Epoch 4/50\n", + "\u001b[1m333/333\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 20ms/step - accuracy: 0.8161 - loss: 0.3077 - val_accuracy: 0.6607 - val_loss: 0.7956\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ==============================\n", + "# 9. PREDICTION\n", + "# ==============================\n", + "y_pred_prob = model.predict(X_test_pad).ravel()\n", + "y_pred = (y_pred_prob >= 0.5).astype(int)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MBe3RZgtRAz9", + "outputId": "127476c8-15fa-4887-91e5-a6f94e27971b" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[1m185/185\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 13ms/step\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from sklearn.metrics import (\n", + " accuracy_score, precision_score, recall_score,\n", + " f1_score, roc_auc_score, confusion_matrix,\n", + " balanced_accuracy_score, roc_curve\n", + ")\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n" + ], + "metadata": { + "id": "o_JLcHJDRRD3" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# ==============================\n", + "# METRIC CALCULATIONS\n", + "# ==============================\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "precision = precision_score(y_test, y_pred)\n", + "recall = recall_score(y_test, y_pred) # Sensitivity\n", + "f1 = f1_score(y_test, y_pred)\n", + "balanced_acc = balanced_accuracy_score(y_test, y_pred)\n", + "auc_roc = roc_auc_score(y_test, y_pred_prob)\n", + "\n", + "# Confusion Matrix\n", + "cm = confusion_matrix(y_test, y_pred)\n", + "\n", + "# Specificity calculation\n", + "TN, FP, FN, TP = cm.ravel()\n", + "specificity = TN / (TN + FP)\n", + "\n", + "print(\"📊 MODEL EVALUATION METRICS\\n\")\n", + "print(f\"Accuracy : {accuracy:.4f}\")\n", + "print(f\"Precision : {precision:.4f}\")\n", + "print(f\"Recall (Sensitivity): {recall:.4f}\")\n", + "print(f\"Specificity : {specificity:.4f}\")\n", + "print(f\"Balanced Accuracy : {balanced_acc:.4f}\")\n", + "print(f\"F1 Score : {f1:.4f}\")\n", + "print(f\"AUC-ROC : {auc_roc:.4f}\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Jwgipr9nSs06", + "outputId": "1c8fd33e-7d0e-43f2-8a9e-695dcedfa34e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "📊 MODEL EVALUATION METRICS\n", + "\n", + "Accuracy : 0.6467\n", + "Precision : 0.5817\n", + "Recall (Sensitivity): 0.8521\n", + "Specificity : 0.4686\n", + "Balanced Accuracy : 0.6603\n", + "F1 Score : 0.6914\n", + "AUC-ROC : 0.7562\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(5,4))\n", + "sns.heatmap(\n", + " cm,\n", + " annot=True,\n", + " fmt='d',\n", + " cmap='Blues',\n", + " xticklabels=['Non-Hate', 'Hate'],\n", + " yticklabels=['Non-Hate', 'Hate']\n", + ")\n", + "plt.xlabel(\"Predicted Label\")\n", + "plt.ylabel(\"True Label\")\n", + "plt.title(\"Confusion Matrix\")\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 410 + }, + "id": "8mWv9KTGSvNa", + "outputId": "e140d18f-77f5-4322-d9f2-e5a18f4ed758" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "fpr, tpr, _ = roc_curve(y_test, y_pred_prob)\n", + "\n", + "plt.figure(figsize=(6,5))\n", + "plt.plot(fpr, tpr, label=f\"AUC = {auc_roc:.3f}\")\n", + "plt.plot([0, 1], [0, 1], linestyle='--')\n", + "plt.xlabel(\"False Positive Rate\")\n", + "plt.ylabel(\"True Positive Rate\")\n", + "plt.title(\"ROC Curve\")\n", + "plt.legend()\n", + "plt.grid()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 487 + }, + "id": "kPhnw_XuSyad", + "outputId": "4cd74e95-3bad-494d-8950-a026b9570936" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Accuracy Curve\n", + "plt.figure(figsize=(6,5))\n", + "plt.plot(history.history['accuracy'], label='Train Accuracy')\n", + "plt.plot(history.history['val_accuracy'], label='Validation Accuracy')\n", + "plt.xlabel(\"Epochs\")\n", + "plt.ylabel(\"Accuracy\")\n", + "plt.title(\"Training vs Validation Accuracy\")\n", + "plt.legend()\n", + "plt.grid()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 487 + }, + "id": "98rgggDzS2xI", + "outputId": "6ad547d5-79a9-4377-89f8-90c678911484" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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CgQMHOApSDXEkhGqc9u3bo1atWggODsb7778PiUSCX3/91aDTIS9qzpw52L17Nzp06IB33nkHKpUKP/74I5o1a4bTp0+XqI6XX34Z9evXx4wZM6BQKHSmYgBg5cqV+OmnnzBgwADUq1cPmZmZWL58OaytrUv8oTpy5EjMmzcPf/31Fzp06KBzmmqjRo1Qr149fPTRR0hISIC1tTX+/PPPEq2b0Wfq1Kn49ddf8eqrr2Ly5MnaU3Q9PT1x9uxZ7Xal+f22bt0a69evR2hoKHx9fWFpaYmgoCC9z//NN9+gV69eaNeuHcaPH689RdfGxgZz5swp0zE9bfXq1ZDJZMVe6O21117DjBkzsG7dOoSGhuKHH37AK6+8gpdffhkTJ06Et7c3bt68iW3btmlfJ1988QV2796Nzp07Y+LEiWjcuDHu3buHDRs24NChQ7C1tUXPnj1Rp04djB8/Hh9//DFkMhkiIiLg6OhYJOAUp2fPnjAxMUFQUBDeeustZGVlYfny5XBycsK9e/e021lbW+O7777Dm2++CV9fXwwfPhy1atXCmTNnkJOToxN8jI2NMXToUPz444+QyWQYNmxY2TuXKqeKPyGHyPCKO0W3adOmerc/fPiw0LZtW8HMzExwc3MTpk6dKuzatavI6X/FnaL7zTffFKkTgDB79mzt/eJO0Z00aVKRfZ8+HVUQBCE6Olp46aWXBBMTE6FevXrCL7/8Inz44YeCqalpMb1Q1IwZMwQAQv369Ys8dvLkSWHYsGFCnTp1BLlcLjg5OQl9+/YV/vvvvxLXLwiC4OvrKwAQfvrppyKPXbx4UejRo4dgaWkpODg4CBMmTNCekvzk6a8lOUVXEATh7NmzQufOnQVTU1PB3d1dmD9/vhAeHl7kNNKS/n6zsrKE4cOHC7a2tgIA7e9a3ym6giAIe/bsETp06CCYmZkJ1tbWQlBQkHDx4kWdbQqPJSUlRadc3+muT8rPzxfs7e2Fjh076n28kLe3t/DSSy9p758/f14YMGCAYGtrK5iamgo+Pj7CzJkzdfa5deuWMHr0aMHR0VGQy+VC3bp1hUmTJgkKhUK7zYkTJwR/f3/BxMREqFOnjrBo0aJiT9Ht06eP3rZt2bJFaNGihWBqaip4eXkJX331lRAREaH3uLds2SK0b99e25d+fn7C2rVri9QZExMjABB69uz5zH6hqkkiCJXozz8ieqb+/fvjwoULetdGEFVHZ86cQatWrbBq1SqMGjVK7OaQgXFNCFEl9fSlza9cuYLt27ejS5cu4jSISATLly+HpaVllfhWZio9rgkhqqTq1q2LMWPGoG7durh16xaWLl0KExMTTJ06VeymEZW7rVu34uLFi/j5558REhJikLOPqPLhdAxRJTV27Fjs27cPiYmJkMvlaNeuHb744gu8/PLLYjeNqNx5eXkhKSkJgYGB+PXXX7VXj6XqhSGEiIiIRME1IURERCQKhhAiIiISBRem6qFWq3H37l1YWVnxi5KIiIhKQRAEZGZmws3NTfuN2sVhCNHj7t278PDwELsZREREVdbt27dRu3btZ27DEKJH4Srs27dvw9ra2iB1KpVK7N69Gz179oSxsbFB6qwu2Df6sV+Kx77Rj/1SPPaNfuXRLxkZGfDw8CjRGU0MIXoUTsFYW1sbNISYm5vD2tqa/wGewr7Rj/1SPPaNfuyX4rFv9CvPfinJcgYuTCUiIiJRMIQQERGRKBhCiIiISBSVYk3IkiVL8M033yAxMREtW7bE4sWL4efnV+z2YWFhWLp0KeLj4+Hg4IA33ngDCxcuhKmpKQBg4cKF2LhxI2JjY2FmZob27dvjq6++go+Pj8HaLAgCCgoKoFKpSrS9UqmEkZER8vLySrxPTcG+0U/MfpHJZDAyMuIp6kRUrkQPIevXr0doaCiWLVsGf39/hIWFITAwEHFxcXByciqy/Zo1azBt2jRERESgffv2uHz5MsaMGQOJRIJFixYBAA4cOIBJkybB19cXBQUF+PTTT9GzZ09cvHjRIF+ClJ+fj3v37iEnJ6fE+wiCABcXF9y+fZtv7E9h3+gndr+Ym5vD1dUVJiYmFf7cRFQziB5CFi1ahAkTJmDs2LEAgGXLlmHbtm2IiIjAtGnTimx/5MgRdOjQAcOHDweg+ZKjYcOG4fjx49ptdu7cqbPPihUr4OTkhBMnTqBTp04v1F61Wo0bN25AJpPBzc0NJiYmJfqAUKvVyMrKgqWl5XMv3lLTsG/0E6tfBEFAfn4+UlJScOPGDTRo0IC/FyIqF6KGkPz8fJw4cQLTp0/XlkmlUvTo0QNHjx7Vu0/79u3x22+/ISYmBn5+frh+/Tq2b9+OUaNGFfs86enpAAA7Ozu9jysUCigUCu39jIwMAJrhcKVSWWRblUoFd3d3mJubl+xA8fiNXS6X86/9p7Bv9BOzX+RyOWQyGeLj45GTkwO5XF6hz/88hf8vn/7/WdOxX4rHvtGvPPqlNHWJGkJSU1OhUqng7OysU+7s7IzY2Fi9+wwfPhypqal45ZVXtOsy3n77bXz66ad6t1er1ZgyZQo6dOiAZs2a6d1m4cKFmDt3bpHy3bt3FwkaRkZGcHFxQU5ODgoKCkpymDoyMzNLvU9Nwb7RT6x+yc/PR25uLg4cOFCm13pFiIqKErsJlRL7pXjsG/0M2S+lWaog+nRMae3fvx9ffPEFfvrpJ/j7++Pq1auYPHky5s+fj5kzZxbZftKkSTh//jwOHTpUbJ3Tp09HaGio9n7h1d569uxZ5GJleXl5uH37NiwtLbULYUui8Fr6/D6aotg3+ondL3l5eTAzM0OnTp1K9VqvCEqlElFRUQgICOCFp57Afike+0a/8uiXwtmEkhA1hDg4OEAmkyEpKUmnPCkpCS4uLnr3mTlzJkaNGoU333wTANC8eXNkZ2dj4sSJmDFjhs7cdUhICP7++28cPHjwmdevl8vleoebjY2Ni/xSVCoVJBIJpFJpqebJ1Wo1AGj3pcfYN/qJ3S9SqRQSiUTv/4PKojK3TUzsl+Kxb/QzZL+Uph5R3/FNTEzQunVrREdHa8vUajWio6PRrl07vfvk5OQUeUOWyWQANH85Fv4bEhKCTZs2Ye/evfD29i6nIyAvLy+EhYWJ3QwiIqqCRP+zMzQ0FMuXL8fKlStx6dIlvPPOO8jOztaeLTN69GidhatBQUFYunQp1q1bhxs3biAqKgozZ85EUFCQNoxMmjQJv/32G9asWQMrKyskJiYiMTERubm5ohxjZSCRSJ55mzNnTpnq/ffffzFx4kSDtHHt2rWQyWSYNGmSQeojIqLKTfQ1IUOGDEFKSgpmzZqFxMREtGrVCjt37tQuVo2Pj9cZ+fjss88gkUjw2WefISEhAY6OjggKCsKCBQu02yxduhQA0KVLF53nioyMxJgxY8r9mCqje/fuaX9ev349Zs2ahbi4OG2ZpaWl9mdBEKBSqWBk9PyXh6Ojo8HaGBkZialTp+J///sf/u///k/UdQj5+fm8PgYR1QhqQbznFn0kBNCs3bh16xYUCgWOHz8Of39/7WP79+/HihUrtPeNjIwwe/ZsXL16Fbm5uYiPj8eSJUtga2ur3UYQBL238goggiAgJ7/gubfcfFWJtivprXD6qSRcXFy0NxsbG0gkEu392NhYWFlZYceOHWjdujXkcjkOHTqEa9euoV+/fnB2doalpSV8fX2xZ88enXqfno6RSCT45ZdfMGDAAJibm6NBgwbYsmXLc9t369YtHDlyBNOmTUPDhg2xcePGIttERESgadOmkMvlcHV1RUhIiPaxtLQ0vPXWW3B2doapqSmaNWuGv//+GwAwZ84ctGrVSqeusLAweHl5ae+PGTMG/fv3x4IFC+Dm5qa9uu6vv/6KNm3awMrKCi4uLhg+fDiSk5N16rpw4QL69u0La2trWFlZoWPHjrh27RoOHjwIY2NjJCYm6mw/ZcoUdOzY8bl9QkRUXm4/yMGqozcxftUJLDgtK9XniSGJPhJSHeQqVWgya1eFP+/FeYEwNzHcr3DatGn49ttvUbduXdSqVQu3b99G7969sWDBAsjlcqxatQpBQUGIi4tDnTp1iq1n7ty5+Prrr/HNN99g8eLFGDFiBG7dulXsdVoAYPXq1ejduzdsbGwwcuRIhIeHay9IB2hGt0JDQ/Hll1+iV69eSE9Px+HDhwFo1hH16tULmZmZ+O2331CvXj1cvHhROz1XUtHR0bC2ttY5VU2pVGL+/Pnw8fFBcnIyQkNDMWbMGGzfvh0AkJCQgE6dOqFLly7Yu3cvrK2tcfjwYRQUFKBTp06oW7cufv31V3z88cfa+lavXo2vv/66VG0jInoRBSo1TsanYW9sMvbGJuFyUtYTj0pwOSkLzTyKf48uLwwhpDVv3jwEBARo79vZ2aFly5ba+/Pnz8emTZuwZcsWnVGIp40ZMwbDhg0DAHzxxRf44YcfEBMTg1dffVXv9mq1GmvWrMHixYsBAEOHDsWHH36IGzduaBcVf/755/jwww8xefJk7X6+vr4AgD179iAmJgaXLl1Cw4YNAQB169Yt9fFbWFjgl19+0ZmGGTdunPbnunXr4ocffoCvr6/2SqZLliyBjY0N1q1bp10RXtgGABg/fjwiIyO1IWTr1q3Iy8vD4MGDS90+IqLSSMvJx4HLKYi+lIwDl1OQnvv4ImIyqQStPWuhS0N7yBIvoaGz5TNqKj8MIQZgZizDxXmBz9xGrVYjMyMTVtZWBjvd0sy4dH/pP0+bNm107mdlZWHOnDnYtm0b7t27h4KCAu0U2LO0aNFC+7OFhQWsra2LTGE8KSoqCjk5OejduzcAzanbAQEBiIiIwPz585GcnIy7d++ie/fuevc/ffo0ateurfPhXxbNmzcvsg7kxIkTmDNnDs6cOYOHDx9qT5uNj49HkyZNcPr0aXTs2LHYU9LGjBmDzz77DMeOHUPbtm2xYsUKDB482CDfYURE9CRBEHA5KQvRsUnYF5uME7ce6qz3sDU3RlcfJ3Rt5ITODRxhY24MpVKJ7dsviXaNJoYQA5BIJM+dFlGr1SgwkcHcxKjSXgvj6Q/Gjz76CFFRUfj2229Rv359mJmZ4Y033kB+fv4z63n6A1kikWg/vPWJiIjAw4cPdZ5frVbj7NmzmDt3LszMzJ75fM97XCqVFpnv1HdZ4aePPzs7G4GBgQgMDMTq1avh6OiI+Ph4BAYGavvgec/t5OSEoKAgREZGwtvbGzt27MD+/fufuQ8RUUnlKVU4eu3+o2mWZCSk6Z4F2sjFCt0aOaF7Yye08qgFmbRyXRCSIYSKdfjwYYwZMwYDBgwAoBkZuXnzpkGf4/79+9iyZQvCw8PRpk0bbUBTqVR45ZVXsHv3brz66qvw8vJCdHQ0unbtWqSOFi1a4M6dO7h8+bLe0RBHR0ckJiZCEARt2j99+vRz2xYbG4v79+/jyy+/hIeHBwDgv//+K/LcK1euhFKpLHY05M0338SwYcNQu3Zt1KtXDx06dHjucxMRFedeeq4mdFxKxuFrqchTPv4jT24kRYf6DujWSDPi4W777D+UxMYQQsVq0KABNm7ciKCgIEgkEsycOfOZIxpl8euvv8Le3h4DBgyAjY2NzihR7969ER4ejldffRVz5szB22+/DScnJ+0i1MOHD+O9995D586d0alTJwwcOBCLFi1C/fr1ERsbC4lEgldffRVdunRBSkoKvv76a7zxxhvYuXMnduzYUeSS/E+rU6cOTExMsHjxYrz99ts4f/485s+fr7NNSEgIFi9ejKFDh2L69OmwsbHBsWPH4Ofnpz3DJjAwENbW1vj8888xb948g/YfEVV/KrWA07fTsDc2CXtjU3Dpnu5l0d1sTNGtsRO6NXJCu7oOMDMx7FR9eaqc8wJUKSxatAi1atVC+/btERQUhMDAQLz88ssGfY6IiAj0799f73zkwIEDsWXLFqSmpiI4OBhhYWH46aef0LRpU/Tt2xdXrlzRbvvnn3/C19cXw4YNQ5MmTTB16lSoVCoAQOPGjfHTTz9hyZIlaNmyJWJiYvDRRx89t22Ojo5YsWIFNmzYgCZNmuDLL7/Et99+q7ONvb099u7di6ysLHTu3BmtW7fG8uXLdUZFpFIpxowZA5VKhdGjR5e1q4ioBknPVWLrmbsIXX8avgv2YODSI1iy7xou3cuAVAK09qyFjwN9sHNKRxye1g2f92+Obo2cq1QAAQCJINbJwZVYRkYGbGxskJ6ervcL7ArP2ijNxbTUajUyMjJgbW1dadeEiKUm9M348eORkpJSomumFBK7X8r6Wq8ImsV029G7d29+D8gT2C/Fq+x9IwgCrqVkYW9sMqIvJeO/Ww+hemJVqbWpETr7OKFbI0d0bugEOwvDXEyxPPrlWZ+hT+N0DFE5Sk9Px7lz57BmzZpSBRAiqv4UBSocv/5Au6g0/kGOzuMNnCzRrZFmmqW1Zy0YyarfH2kMIUTlqF+/foiJicHbb7+tcw0WIqqZkjPysC9OM9px6GoqcvJV2sdMZFK0rWeP7o+Ch4eduYgtrRgMIUTliKfjEtVsarWAcwnpiI5Nxr7YZJxLSNd53MlKju6NndDVxwkd6jvAQl6zPpZr1tESERGVs8w8JQ5dScXe2GTsi0tBapZC+5hEArSobasd7WjqZi3ahcIqA4YQIiKiF3QjNVv7vSwxNx5AqXq8qNRSboRODR3Q1ccJXXyc4GglF7GllQtDCBERUSnlF6jx380H2mmW66nZOo/XdbBA10ZO6N7ICW287GBiVP0WlRoCQwgREVEJpGYpsD8uBXtjk3DwciqyFAXax4xlEvh526FbI2d0a+QEbwd+P1RJMIQQERHpIQgCLtzN0J5Ce+ZOGp68spaDpQm6+mjWdrzSwAFWppXv+iOVHUMIERHRIzn5BTh0JRX74jTBIylDofN4c3cb7TRLc3cbSCvZF8JVNQwhVCpdunRBq1atEBYWBgDw8vLClClTMGXKlGL3kUgk2LRpE/r37/9Cz22oeoiInnT7QY7mSqWxyTh2/T7yCx5/R5a5iQyv1HdA98aaRaXO1pXr6sFVHUNIDREUFASlUomdO3cWeeyff/5Bp06dcObMGbRo0aJU9f7777+wsDDs3OecOXOwefPmIt90e+/ePdSqVcugz1Wc3NxcuLu7QyqVIiEhAXI5V7MTVRcFKjVO3HqonWa5kpyl87iHnRm6P1rb4V/XDnKjqvV9LFUJQ0gNMX78eAwcOBB37txB7dq1dR6LjIxEmzZtSh1AAM2XvFUUFxeXCnuuP//8E02bNoUgCNi8eTOGDBlSYc/9NEEQUFBQACMj/nclKquHOfn4N0WC3b+fxT9XUpGR93hRqUwqQRvPWuj+6Jto6zla1uhrd1QknjNkCIIA5Gc//6bMKdl2Jb2V4rsH+/btq/1W2CdlZWVhw4YNGD9+PO7fv49hw4bB3d0d5ubmaN68OdauXfvMer28vLRTMwBw5coVdOrUCaampmjSpAmioqKK7PPJJ5+gYcOGMDc3R926dTFr1iwolUoAwIoVKzB37lycOXMGEokEEolE22aJRILNmzdr6zl37hy6desGMzMz2NvbY+LEicjKevwXzZgxY9C/f398++23cHV1hb29PSZNmqR9rmcJDw/HyJEjMXLkSISHhxd5/MKFC+jbty+sra1hZWWFjh074tq1a9rHIyIi0LRpU8jlcri6uiIkJAQAcPPmTUgkEp1RnrS0NEgkEu3VVffv3w+JRIIdO3agS5cuMDMzw6FDh3Dt2jX069cPzs7OsLS0hK+vL/bs2aPTLoVCgU8++QQeHh6Qy+WoX78+wsPDIQgC6tevX+RbgE+fPg2JRIKrV68+t0+IqhJBEHDpXgaW7LuKgUuPoO2X+/HbVRm2nUtERl4Bapkb4/WX3LF42Es4OTMA699qh4md6qG+kxUDSAXin1aGoMwBvnB75iZSALaGft5P7wImJZsKMTIywujRo7FixQrMmDFD+59sw4YNUKlUGDZsGLKystC6dWt88sknsLa2xrZt2zBq1CjUq1cPfn5+z30OtVqN119/Hc7Ozjh+/DjS09P1rhWxsrLCihUr4ObmhnPnzmHChAkwNjbGzJkzMWTIEJw/fx47d+7UfsDa2NgUqSM7OxuBgYFo164d/v33XyQnJ+PNN99ESEiITtDat28fXF1dsW/fPly9ehVDhgxBq1atMGHChGKP49q1azh69Cg2btwIQRDwwQcf4NatW/D09AQAJCQkoFOnTujSpQv27t0La2trHD58GAUFmr+sli5ditDQUHz55Zfo1asX0tPTcfjw4ef239M+/fRTzJkzB82aNYO9vT1u376N3r17Y8GCBZDL5Vi1ahWCgoIQFxeHOnXqAABGjx6No0eP4ocffkDLli1x48YNpKamQiKRYNy4cYiMjMRHH32kfY7IyEh06tQJ9evXL3X7iCqbPKUKR66lIvqS5todd9PzdB53NxfwWpu66NHUFa08bCHjolLRMYTUIOPGjcM333yDAwcOoEuXLgA0H0IDBw6EjY0NbGxsdD6g3nvvPezatQu///57iULInj17EBsbi127dsHNTRPKvvjiC/Tq1Utnu88++0z7s5eXFz788EOsWbMGM2fOhJmZGSwtLWFkZPTM6Zc1a9YgLy8Pq1at0q5J+fHHHxEUFISvvvoKzs7OAIBatWrhxx9/hEwmQ6NGjdCnTx9ER0c/M4RERESgV69e2vUngYGBiIyMxJw5cwAAS5YsgY2NDdatW6f96uuGDRtq9//888/x4YcfYvLkydoyX1/f5/bf0+bMmYOuXbvC2toaUqkUdnZ2aNmypfbx+fPnY9OmTdiyZQtCQkJw+fJl/P7774iKikKPHj0AAHXr1tVuP2bMGMyaNQsxMTHw8/ODUqnEmjVrioyOEFUlCWm5msujxybj8NVUKJ5YVGpqLEWHeg7o2sgJnerb4dThvegd0MBgX1lPL44hxBCMzTWjEs+gVquRkZkJaysrSKUGmgUzLt03LDZq1Ajt27dHREQEunTpgqtXr+Kff/7BvHnzAAAqlQpffPEFfv/9dyQkJCA/Px8KhQLm5iV7nkuXLsHDw0MbQACgXbt2RbZbv349fvjhB1y7dg1ZWVkoKCiAlZVVqY7l0qVLaNmypc6i2A4dOkCtViMuLk4bQpo2bQqZ7PGiMldXV5w7d67YelUqFVauXInvv/9eWzZy5Eh89NFHmDVrFqRSKU6fPo2OHTvqfSNLTk7G3bt30b1791Idjz5t2rTRuZ+VlYU5c+Zg27ZtuHfvHgoKCpCbm4v4+HgAmqkVmUyGzp07663Pzc0Nffr0QUREBPz8/LB161YoFAoMGjTohdtKVFFUagGn4h8vKo1NzNR53N3WDF0bOaJ7I2e0q2cPU2PN/3+lUolTYjSYnokhxBAkkudPi6jVgLFKs52hQkgZjB8/Hu+99x6WLFmCyMhI1KtXT/uh9c033+D7779HWFgYmjdvDgsLC0yZMgX5+fkGe/6jR49ixIgRmDt3LgIDA2FjY4O1a9fi//7v/wz2HE96OihIJBKo1epitgZ27dqFhISEIgtRVSoVoqOjERAQADMzs2L3f9ZjALQBVHhiPU9xa1SePuvoo48+QlRUFL799lvUr18fZmZmeOONN7S/n+c9NwC8+eabGDVqFL777jtERkZiyJAhJQ6ZRGJJz1HiwJUU7ItNxv64ZDzMefx/RioBXq5TC90eLSr1ceaajqqEIaSGGTx4MCZPnow1a9Zg1apVeOedd7T/YQ8fPox+/fph5MiRADSjN5cvX0aTJk1KVHfjxo1x+/Zt3Lt3D66urgCAY8eO6Wxz5MgReHp6YsaMGdqyW7du6WxjYmIClUr13OdasWIFsrOztR/Whw8fhlQqhY+PT4naq094eDiGDh2q0z4AWLBgAcLDwxEQEIAWLVpg5cqVUCqVRUKOlZUVvLy8EB0dja5duxapv/Bsonv37uGll14CgCKnIhfn8OHDGDNmDAYMGABAMzJy8+ZN7ePNmzeHWq3GgQMHtNMxT+vduzcsLCywdOlS7Ny5EwcPHizRcxNVJEEQcDU5S3vtjhO3HkKlfhzcrU2N0OXRlUo7N3RELQsTEVtLL4IhpIaxtLTEkCFDMH36dGRkZGDMmDHaxxo0aIA//vgDR44cQa1atbBo0SIkJSWVOIT06NEDDRs2RHBwML755htkZGQU+TBv0KAB4uPjsW7dOvj6+mLbtm06Z7wAmnUiN27cwOnTp1G7dm1YWVkVuU7HiBEjMHv2bAQHB2POnDlISUnBe++9h1GjRmmnYkorJSUFW7duxZYtW9CsWTOdx0aPHo0BAwbgwYMHCAkJweLFizF06FBMnz4dNjY2OHbsGPz8/ODj44M5c+bg7bffhpOTE3r16oXMzEwcPnwY7733HszMzNC2bVt8+eWX8Pb2RnJyss4amWdp0KABNm7ciKCgIEgkEsycOVNnVMfLywvBwcEYN26cdmHqrVu3kJycjMGDBwMAZDIZxowZg+nTp6NBgwZ6p8uIxJCnVOH4jQfYeykJe+OScftBrs7jDZ0tH12p1Bkv17GFkYwnd1YH/C3WQOPHj8fDhw8RGBios37js88+w8svv4zAwEB06dIFLi4upbo6qVQqxaZNm5Cbmws/Pz+8+eabWLBggc42r732Gj744AOEhISgVatWOHLkSJEP4YEDB+LVV19F165d4ejoqPc0YXNzc+zatQsPHjyAr68v3njjDXTv3h0//vhj6TrjCYWLXPWt5+jevTvMzMzw22+/wd7eHnv37kVWVhY6d+6M1q1bY/ny5dpRkeDgYISFheGnn35C06ZN0bdvX1y5ckVbV0REBAoKCtC6dWtMmTIFn3/+eYnat2jRItSqVQvt27dHUFAQAgMD8fLLL+tss3TpUrzxxht499130ahRI0yYMAHZ2brf7jl+/Hjk5+dj7Nixpe0iIoNKysjD2ph4TFj1H16aF4XgiBisPHoLtx/kwsRIis4NHTGvX1P8M7Urdn/QGdN7NYaftx0DSDUiEYRSXGyihsjIyICNjQ3S09NhbW2t81heXh5u3LgBb29vmJqW/PK9arUaGRkZ2jMd6DH2jX7l1S///PMPunfvjtu3bz9z1Kisr/WKoFQqsX37dvTu3ZtnOjyhsveLWi3gzJ007Hs0zXLhbobO487Wcu230Haobw9zE8MN1lf2vhFLefTLsz5Dn8bpGKIaQqFQICUlBXPmzMGgQYPKPG1FVBqZeUr8c0Vz7Y4Dl5ORmvV4obtEArSsbYvujZzQrbETmrhac1FpDcMQQlRDrF27FuPHj0erVq2watUqsZtD1dj1lCztKbQxNx6g4IlFpVZyI3Rq6IiujZzQxccRDpb8XqaajCGEqIYYM2aMzkJkIkPJL1Dj35sPNFcqjUvGjVTddUh1HS3QzUcz2uHrZQdjrumgRxhCiIio1FIyFdgXp7lS6T9XUpGlePyFcMYyCfy97dGtkeY0Wi8Hw37TNlUflSKOLlmyBF5eXjA1NYW/vz9iYmKeuX1YWBh8fHxgZmYGDw8PfPDBB8jL0/2OgNLWWVpcz0vVHV/j9CS1WsC5O+n4fs8V9PvxEHwX7MHUP85ix/lEZCkK4GApx+A2tbFs5Ms4NasnfnvTH+Ne8WYAoWcSfSRk/fr1CA0NxbJly+Dv74+wsDAEBgYiLi4OTk5ORbZfs2YNpk2bhoiICLRv3x6XL1/GmDFjIJFIsGjRojLVWRqFq4dzcnJKdIVKoqoqJycHQNGrzlLNka0owKGrqdj7aJolOVOh83hzdxvtaEdzdxtI+YVwVEqih5BFixZhwoQJ2msWLFu2DNu2bUNERASmTZtWZPsjR46gQ4cOGD58OADNBZqGDRuG48ePl7nO0pDJZLC1tUVycjIAzfUqSrKaW61WIz8/H3l5eTwN9SnsG/3E6hdBEJCTk4Pk5GTY2trqfPcOVX/x93MQHZuEvbHJOH79AfJVjy+IZ24iQ8cGDujWyAldfZzgZF25Tt2mqkfUEJKfn48TJ05g+vTp2jKpVIoePXrg6NGjevdp3749fvvtN+03gV6/fh3bt2/HqFGjylynQqGAQvE44WdkaM5dVyqVer/Xw97eHiqVCklJSSU+VkEQkJeXB1NTU56C9hT2jX5i94u1tTXs7e2L/W4bMRW2qTK2TUxl6RelSo2T8WnYF5eCfXGpuP7UolKPWmbo6uOIrj6O8PWqBbnR40Bclfqfrxn9yqNfSlOXqCEkNTUVKpWqyPUKnJ2dERsbq3ef4cOHIzU1Fa+88goEQUBBQQHefvttfPrpp2Wuc+HChZg7d26R8t27dz/zy70kEgn/SqRqSaVSVYk1IVFRUWI3oVJ6Xr9kKYFLaRJceChBbJoEuarHIVcqEVDXSkDTWpqbk2kmJJJMZFy+jujL5d3y8sfXjH6G7JfCqdySEH06prT279+PL774Aj/99BP8/f1x9epVTJ48GfPnz8fMmTPLVOf06dMRGhqqvZ+RkQEPDw/07NnzuVd7KymlUomoqCgEBARwjv0p7Bv92C/FY9/oV1y/CIKA2MQs7ItLwf7LKTh9Jx1PZsxa5sbo0tABXRo64pX69rA2q359yteMfuXRL4WzCSUhaghxcHCATCYrMq2RlJQEFxcXvfvMnDkTo0aNwptvvglA882h2dnZmDhxImbMmFGmOuVyeZEvSAM0C/IM/WItjzqrC/aNfuyX4rFv9DM2NkaBIMWRa6mIjtWcRnsvXfcMwiau1ppFpY2d0LK2LWQ1ZFEpXzP6GbJfSlOPqCHExMQErVu3RnR0tPaL0tRqNaKjoxESEqJ3n5ycnCKL9AqnRARBKFOdRETVQWqWAv8kSrDx15M4dv0BFAWPF5WaGkvxSn0HdGvkjK6NHOFqw7P7SHyiT8eEhoYiODgYbdq0gZ+fH8LCwpCdna09s2X06NFwd3fHwoULAQBBQUFYtGgRXnrpJe10zMyZMxEUFKQNI8+rk4ioOskvUCP80A0s3nsFOfkyAKkAAHdbM+1oR7u69jA15ho2qlxEDyFDhgxBSkoKZs2ahcTERLRq1Qo7d+7ULiyNj4/XGfn47LPPIJFI8NlnnyEhIQGOjo4ICgrS+cr459VJRFRdHLycgjlbLmjPaqltIWBo+4YIaOqKhs6WPOOMKjXRQwgAhISEFDtVsn//fp37RkZGmD17NmbPnl3mOomIqro7D3Pw+d+XsPNCIgDAwVKOqT0bwOTuafTp5M11D1QlVIoQQkREJZOnVGH5wetYsv8q8pRqyKQSBLfzwpSABjCTAdvvnRa7iUQlxhBCRFRF7ItNxpytF3DrvuY6DH7edpjXrykauWguJcALcVFVwxBCRFTJxd/Pwby/L2DPJc3XRThby/Fp78Z4raUb13xQlcYQQkRUSeUpVVi6/xqWHriG/AI1jKQSjH/FG+91bwBLOd++qerjq5iIqJIRBAF7LiVj3t8XcPtBLgCgQ317zH2tKeo7WYncOiLDYQghIqpEbqZmY87WC9gflwIAcLUxxWd9mqB3cxdOvVC1wxBCRFQJ5OarsGTfVfx88DryVWoYyySY0LEuQrrVh7kJ36qpeuIrm4hIRIIgYOf5RHy+7RIS0jRTL50aOmJOUBPUdbQUuXVE5YshhIhIJFeTszB36wX8c+XxZdZnBTVBzybOnHqhGoEhhIiogmUrCvDD3iuIOHQDSpUAEyMp3u5UF+90qQ8zE36/C9UcDCFERBVEEAT8ffYeFmy7hMSMPABA90ZOmBXUBJ72FiK3jqjiMYQQEVWAy0mZmP3XBRy9fh8AUMfOHLODmqB7Y36xJtVcDCFEROUoM0+J7/dcwYojN1GgFiA3kmJS1/qY2KkuTI059UI1G0MIEVE5EAQBm08n4IvtsUjJVAAAejZxxsy+TeBhZy5y64gqB4YQIiIDu3QvA7P/uoCYmw8AAN4OFpgd1ARdfJxEbhlR5cIQQkRkIOm5SnwXdRmrjt6EWgDMjGUI6VYfb3b0htyIUy9ET2MIISJ6QWq1gD9P3sFXO2ORmpUPAOjd3AUz+jSBu62ZyK0jqrwYQoiIXsD5hHTM+us8TsanAQDqOVpg7mvN8EoDB3EbRlQFMIQQEZVBWk4+vt0dh9XH4yEIgIWJDJN7NMCY9t4wMZKK3TyiKoEhhIioFNRqAev/u42vd8biYY4SAPBaSzd82rsxXGxMRW4dUdXCEEJEVEJnbqdh1l/nceZOOgCgobMl5r7WDO3q2YvcMqKqiSGEiOg5HmTn45tdsVj3720IAmAlN8KUgIYY3c4TxjJOvRCVFUMIEVExVGoBa2Li8e2uOKTnaqZeXn/JHdN6N4KTFadeiF4UQwgRkR4nbj3ErL/O48LdDABAY1drzOvXFL5ediK3jKj6YAghInpCapYCX+6IxR8n7gAArEyN8FFPH4zwrwMjTr0QGRRDCBERgAKVGr8du4X/i7qMzLwCAMDgNrUx9dVGcLCUi9w6ouqJIYSIaryYGw8w66/ziE3MBAA0c7fGvH7N8HKdWiK3jKh6YwghohorOSMPC3fEYtOpBACArbkxPg70wVDfOpBJJSK3jqj6YwghohpHqVJj5ZGbCNtzBVmKAkgkwFDfOpga6INaFiZiN4+oxmAIIaIa5ci1VMz+6wKuJGcBAFp62GJ+v6ZoUdtW3IYR1UAMIURUI9xLz8WCbZfw99l7AAA7CxN88qoPBrX2gJRTL0SiYAghomotv0CNiMM38EP0FeTkqyCVACPbeiI0oCFszTn1QiQmhhAiqrb+uZKC2Vsu4HpKNgCgtWctzH2tKZq524jcMiICgEpx5Z0lS5bAy8sLpqam8Pf3R0xMTLHbdunSBRKJpMitT58+2m2ysrIQEhKC2rVrw8zMDE2aNMGyZcsq4lCIqBJISMvFO7+dwKjwGFxPyYaDpQm+HdQSG95qxwBCVImIPhKyfv16hIaGYtmyZfD390dYWBgCAwMRFxcHJyenIttv3LgR+fn52vv3799Hy5YtMWjQIG1ZaGgo9u7di99++w1eXl7YvXs33n33Xbi5ueG1116rkOMiooqnKFBh+cHr+HHfVeQp1ZBJJRjdzhNTejSEjZmx2M0joqeIPhKyaNEiTJgwAWPHjtWOWJibmyMiIkLv9nZ2dnBxcdHeoqKiYG5urhNCjhw5guDgYHTp0gVeXl6YOHEiWrZs+cwRFiKq2vbFJSPwu4P4dvdl5CnV8PO2w9/vvYLZQU0ZQIgqKVFHQvLz83HixAlMnz5dWyaVStGjRw8cPXq0RHWEh4dj6NChsLCw0Ja1b98eW7Zswbhx4+Dm5ob9+/fj8uXL+O677/TWoVAooFAotPczMjRfWKVUKqFUKstyaEUU1mOo+qoT9o1+7JfiPdk3tx/mYMH2OETHpgAAnKzk+CSwIYJauEAikdSo/uNrpnjsG/3Ko19KU5dEEATBYM9cSnfv3oW7uzuOHDmCdu3aacunTp2KAwcO4Pjx48/cPyYmBv7+/jh+/Dj8/Py05QqFAhMnTsSqVatgZGQEqVSK5cuXY/To0XrrmTNnDubOnVukfM2aNTA3Ny/j0RFRecpXAdF3JYhOkEIpSCCVCOjsIuDV2mqYij7RTFRz5eTkYPjw4UhPT4e1tfUzt63S/1XDw8PRvHlznQACAIsXL8axY8ewZcsWeHp64uDBg5g0aRLc3NzQo0ePIvVMnz4doaGh2vsZGRnw8PBAz549n9uBJaVUKhEVFYWAgAAYG3No+EnsG/3YL/oJgoDdFxLx5eazuK/QXN+jXV07zOzTCA2cLEVunbj4mike+0a/8uiXwtmEkhA1hDg4OEAmkyEpKUmnPCkpCS4uLs/cNzs7G+vWrcO8efN0ynNzc/Hpp59i06ZN2jNmWrRogdOnT+Pbb7/VG0Lkcjnk8qLfkmlsbGzwF2t51FldsG/0Y788djM1G3O3XsC+uBQAEjhbyzGzbxP0ae4KiYQXHCvE10zx2Df6GbJfSlOPqAtTTUxM0Lp1a0RHR2vL1Go1oqOjdaZn9NmwYQMUCgVGjhypU164jkMq1T00mUwGtVptuMYTUYXJzVfh211x6PndQeyLS4GxTIIebmrser8D+rZwYwAhqqJEn44JDQ1FcHAw2rRpAz8/P4SFhSE7Oxtjx44FAIwePRru7u5YuHChzn7h4eHo378/7O3tdcqtra3RuXNnfPzxxzAzM4OnpycOHDiAVatWYdGiRRV2XET04gRBwK4LiZj/9yUkpOUCADo2cMBnvXwQ++8BWMhFfwsjohcg+v/gIUOGICUlBbNmzUJiYiJatWqFnTt3wtnZGQAQHx9fZFQjLi4Ohw4dwu7du/XWuW7dOkyfPh0jRozAgwcP4OnpiQULFuDtt98u9+MhIsO4lpKFOVsu4J8rqQAAd1szzOzbGIFNXVBQUIBYkdtHRC9O9BACACEhIQgJCdH72P79+4uU+fj44Fkn9bi4uCAyMtJQzSOiCpStKMDivVcRfug6lCoBJjIp3upcF+92qQ8zE5nYzSMiA6oUIYSISBAE/H32HhZsu4TEjDwAQLdGTpjVtwm8HCyeszcRVUUMIUQkuitJmZi95QKOXLsPAPCwM8Psvk3Ro4mzyC0jovLEEEJEosnMU+L7PVew4shNFKgFyI2keLdLfbzVuS5MjTn1QlTdMYQQUYUTBAF/nb6LL7ZfQnKm5isTApo4Y1bfJvCw41WKiWoKhhAiqlCxiRmY9dcFxNx4AADwsjfH7NeaoqtP0W/NJqLqjSGEiCpEeq4S30Vdxq/HbkGlFmBqLMV73RrgzY7ekBtx6oWoJmIIIaJypVYL+PPkHXy1MxapWfkAgF7NXPBZ3yZwtzUTuXVEJCaGECIqN+cT0jHrr/M4GZ8GAKjraIG5rzVFxwaO4jaMiCoFhhAiMri0nHz83+7LWH38FtQCYG4iw+TuDTC2gzdMjET9yioiqkQYQojIYNRqAb//dxtf74rDg2zN1EtQSzfM6N0YLjamIreOiCobhhAiMoizd9Iw868LOHM7DQDQwMkSc/s1Rft6DuI2jIgqLYYQInohD7Lz8c2uWKz79zYEAbCUG2FKjwYIbu8FYxmnXoioeAwhRFQmKrWAtTHx+HZ3HNJylACAAS+5Y3qvRnCy5tQLET0fQwgRldqJWw8xe8t5nE/IAAA0crHCvH7N4OdtJ3LLiKgqYQghohJLzVLgqx2x2HDiDgDAytQIHwY0xMi2njDi1AsRlRJDCBE9V4FKjd+O3cL/RV1GZl4BAOCN1rXxyauN4GglF7l1RFRVMYQQ0TP9e/MBZm4+j9jETABAM3drzH2tGVp71hK5ZURU1TGEEJFeyRl5WLgjFptOJQAAbMyM8XGgD4b51YFMKhG5dURUHTCEEJEOpUqNlUduImzPFWQpCiCRAEN9PfBxYCPYWZiI3TwiqkYYQohI6+i1+5i95TwuJ2UBAFrWtsG8fs3Q0sNW3IYRUbXEEEJESEzPw4Ltl7D1zF0AQC1zY3zyaiMMbuMBKadeiKicMIQQ1WD5BWpEHL6BH6KvICdfBYkEGOFfBx/19IGtOadeiKh8MYQQ1VCHrqRi9pbzuJaSDQB4uY4t5vVrhmbuNiK3jIhqCoYQohomIS0Xn/99ETvOJwIA7C1MMK1XIwx8uTanXoioQjGEENUQigIVfvnnBn7cexW5ShWkEmB0Oy98ENAQNmbGYjePiGoghhCiGmB/XDLmbr2IG6maqRc/LzvM7dcUjV2tRW4ZEdVkDCFE1djtBzmY9/dFRF1MAgA4Wskxo3dj9GvlBomEUy9EJC6GEKJqKE+pwrID17B0/zUoCtSQSSUY294Lk3s0gJUpp16IqHJgCCGqZvZcTMLcvy/g9oNcAEC7uvaY268pGjpbidwyIiJdDCFE1cTN1GzM+/si9sYmAwBcrE0xo09j9G3hyqkXIqqUGEKIqrjcfBV+2n8V/ztwHfkqNYxlEox7xRvvd2sACzn/ixNR5cV3KKIqShAE7LqQhPl/X0RCmmbqpWMDB8wOaor6TpYit46I6PmkYjcAAJYsWQIvLy+YmprC398fMTExxW7bpUsXSCSSIrc+ffrobHfp0iW89tprsLGxgYWFBXx9fREfH1/eh0JUIa6nZGF0RAze/u0EEtJy4W5rhmUjX8aqcX4MIERUZYg+ErJ+/XqEhoZi2bJl8Pf3R1hYGAIDAxEXFwcnJ6ci22/cuBH5+fna+/fv30fLli0xaNAgbdm1a9fwyiuvYPz48Zg7dy6sra1x4cIFmJqaVsgxEZWXbEUBftx3Fb/8cx1KlQATmRQTO9XFpK71YWYiE7t5RESlInoIWbRoESZMmICxY8cCAJYtW4Zt27YhIiIC06ZNK7K9nZ2dzv1169bB3NxcJ4TMmDEDvXv3xtdff60tq1evXjkdAVH5EwQB287dw4Jtl3AvPQ8A0MXHEbODmsLbwULk1hERlY2oISQ/Px8nTpzA9OnTtWVSqRQ9evTA0aNHS1RHeHg4hg4dCgsLzRuxWq3Gtm3bMHXqVAQGBuLUqVPw9vbG9OnT0b9/f711KBQKKBQK7f2MjAwAgFKphFKpLOPR6Sqsx1D1VSfsG/0K++PS3TQs3HUVR68/AADUtjXFZ70boVsjR0gkkhrZb3zN6Md+KR77Rr/y6JfS1CURBEEw2DOX0t27d+Hu7o4jR46gXbt22vKpU6fiwIEDOH78+DP3j4mJgb+/P44fPw4/Pz8AQGJiIlxdXWFubo7PP/8cXbt2xc6dO/Hpp59i37596Ny5c5F65syZg7lz5xYpX7NmDczNzV/wKInKJk8F7LwtxYFECdSCBEYSAT3cBXR3U4MzL0RUWeXk5GD48OFIT0+HtfWzvxpC9OmYFxEeHo7mzZtrAwigGQkBgH79+uGDDz4AALRq1QpHjhzBsmXL9IaQ6dOnIzQ0VHs/IyMDHh4e6Nmz53M7sKSUSiWioqIQEBAAY2NesfJJ7JuiUjIVGBnxL66n5gAAujdyxKe9fFDHjqEY4GumOOyX4rFv9CuPfimcTSgJUUOIg4MDZDIZkpKSdMqTkpLg4uLyzH2zs7Oxbt06zJs3r0idRkZGaNKkiU5548aNcejQIb11yeVyyOXyIuXGxsYGf7GWR53VBftGIzkjD6Mi/8P11BzYGAv4dujLCGjqJnazKiW+ZvRjvxSPfaOfIfulNPWIeoquiYkJWrdujejoaG2ZWq1GdHS0zvSMPhs2bIBCocDIkSOL1Onr64u4uDid8suXL8PT09NwjScqB0kZeRj68zFcS8mGq40p3m+mQpeGjmI3i4ioXIg+HRMaGorg4GC0adMGfn5+CAsLQ3Z2tvZsmdGjR8Pd3R0LFy7U2S88PBz9+/eHvb19kTo//vhjDBkyBJ06ddKuCdm6dSv2799fEYdEVCaJ6XkYtvwYbqRmw93WDKvGtsb5Y/vFbhYRUbkRPYQMGTIEKSkpmDVrFhITE9GqVSvs3LkTzs7OAID4+HhIpboDNnFxcTh06BB2796tt84BAwZg2bJlWLhwId5//334+Pjgzz//xCuvvFLux0NUFvfSczHs52O4eT8H7rZmWDexLVysjHFe7IYREZUj0UMIAISEhCAkJETvY/pGL3x8fPC8k3rGjRuHcePGGaJ5ROXqblouhi0/hlv3c1C7liaA1K5lzlMJiajaqxQhhKimuvMwB8OWH8PtB7nwsDPDuont4G5rJnaziIgqBEMIkUhuP9AEkDsPc+Fpb461E9rCjQGEiGoQhhAiEdx+kIOhPx9DQlouvOzNsXZiW7jaMIAQUc3CEEJUweLva0ZAEtJy4e1ggbUT2sLFhl+uSEQ1D0MIUQW6dT8bw34+hrvpeajrYIG1E9vC2ZoBhIhqJoYQogpyMzUbw5Yfw730PNRz1IyAODGAEFENxhBCVAFupGpGQBIz8lDfyRJrJvjDyYoBhIhqNoYQonJ2PSULw5YfQ1KGAg2cLLFmQls4WhX9riIiopqGIYSoHF1NzsLw5ceQnKlAQ2dNAHGwZAAhIgIYQojKzdXkTAxbfhwpmQo0crHC6jf9Yc8AQkSkxRBCVA6uJGkCSGqWJoCsmdAWdhYmYjeLiKhSYQghMrDLSZkYvvwYUrPy0cTVGqvf9EctBhAioiIYQogMKDYxAyOWH8f97Hw0dbPGb+MZQIiIisMQQmQgl+5lYMQvx/EgOx/N3DUBxNacAYSIqDgMIUQGcPFuBkb8cgwPc5RoUdsGv47zh425sdjNIiKq1BhCiF7QhbvpGPHLcaTlKNGytg1WjfeHjRkDCBHR80hLu4OXlxfmzZuH+Pj48mgPUZVyPiEdw5drAkgrD1v8+iYDCBFRSZU6hEyZMgUbN25E3bp1ERAQgHXr1kGhUJRH24gqtXN30jF8+TGk5yrxUh1brBrvB2tTBhAiopIqUwg5ffo0YmJi0LhxY7z33ntwdXVFSEgITp48WR5tJKp0ztxOw4hfjiEjrwCtPWth1TgGECKi0ip1CCn08ssv44cffsDdu3cxe/Zs/PLLL/D19UWrVq0QEREBQRAM2U6iSuP07TSMDD+OjLwCtPGshZXj/GDFAEJEVGplXpiqVCqxadMmREZGIioqCm3btsX48eNx584dfPrpp9izZw/WrFljyLYSie5U/EOMDo9BpqIAfl52iBjrC0s513cTEZVFqd89T548icjISKxduxZSqRSjR4/Gd999h0aNGmm3GTBgAHx9fQ3aUCKxnbj1EMERMchSFMDP2w6RY3xhwQBCRFRmpX4H9fX1RUBAAJYuXYr+/fvD2LjoMLS3tzeGDh1qkAYSVQb/3XyA4IgYZOer0LauHSLG+MLchAGEiOhFlPpd9Pr16/D09HzmNhYWFoiMjCxzo4gqk39vPsCYRwGkXV17hI9pwwBCRGQApV6YmpycjOPHjxcpP378OP777z+DNIqosoi58XgEpEN9e46AEBEZUKlDyKRJk3D79u0i5QkJCZg0aZJBGkVUGRy7fh9jImOQk69CxwYOCA/2hZmJTOxmERFVG6X+k+7ixYt4+eWXi5S/9NJLuHjxokEaRSS2I9dSMX7Ff8hVagLI8tFtYGrMAEJEZEilHgmRy+VISkoqUn7v3j0YGXGYmqq+I1dTMW7Fv8hVqtC5oSMDCBFROSl1COnZsyemT5+O9PR0bVlaWho+/fRTBAQEGLRxRBXt0JVUjF3xL/KUanT1ccT/RrVmACEiKielHrr49ttv0alTJ3h6euKll14CAJw+fRrOzs749ddfDd5Aooryz5UUvLnyPygK1OjWyAlLR74MuREDCBFReSl1CHF3d8fZs2exevVqnDlzBmZmZhg7diyGDRum95ohRFXBgcspmLDqP+QXqNGjsROWjGAAISIqb2VaxGFhYYGJEycaui1EotgXl4y3fj2B/AI1Apo4Y8nwl2FiVOavVSIiohIq80rSixcvIj4+Hvn5+Trlr7322gs3iqii7It9FEBUagQ2dcbiYQwgREQVpdTvttevX0fLli3RrFkz9OnTB/3790f//v0xYMAADBgwoEyNWLJkCby8vGBqagp/f3/ExMQUu22XLl0gkUiK3Pr06aN3+7fffhsSiQRhYWFlahtVX9GXkrQBpFczF/zIERAiogpV6nfcyZMnw9vbG8nJyTA3N8eFCxdw8OBBtGnTBvv37y91A9avX4/Q0FDMnj0bJ0+eRMuWLREYGIjk5GS922/cuBH37t3T3s6fPw+ZTIZBgwYV2XbTpk04duwY3NzcSt0uqt6iLibh7d80AaR3cxf8MOwlGMsYQIiIKlKp33WPHj2KefPmwcHBAVKpFFKpFK+88goWLlyI999/v9QNWLRoESZMmICxY8eiSZMmWLZsGczNzREREaF3ezs7O7i4uGhvUVFRMDc3LxJCEhIS8N5772H16tVcMEs6dl1IxLurT0CpEtCnhSu+H8oAQkQkhlKvCVGpVLCysgIAODg44O7du/Dx8YGnpyfi4uJKVVd+fj5OnDiB6dOna8ukUil69OiBo0ePlqiO8PBwDB06FBYWFtoytVqNUaNG4eOPP0bTpk2fW4dCoYBCodDez8jIAAAolUoolcqSHs4zFdZjqPqqk4rsm90XkzB5/VkUqAX0ae6Cb19vCqhVUKpV5f7cpcXXTPHYN/qxX4rHvtGvPPqlNHWVOoQ0a9YMZ86cgbe3N/z9/fH111/DxMQEP//8M+rWrVuqulJTU6FSqeDs7KxT7uzsjNjY2OfuHxMTg/PnzyM8PFyn/KuvvoKRkVGJR2YWLlyIuXPnFinfvXs3zM3NS1RHSUVFRRm0vuqkvPvm9H0JVl6RQi1I0NpBje4Wd7B7151yfU5D4GumeOwb/dgvxWPf6GfIfsnJySnxtqUOIZ999hmys7MBAPPmzUPfvn3RsWNH2NvbY/369aWt7oWEh4ejefPm8PPz05adOHEC33//PU6ePAmJRFKieqZPn47Q0FDt/YyMDHh4eKBnz56wtrY2SFuVSiWioqIQEBDA6aGnVETf7DifiFXHz0EtCOjX0hVfvd4MMmnJXh9i4WumeOwb/dgvxWPf6Fce/VI4m1ASpQ4hgYGB2p/r16+P2NhYPHjwALVq1Srxh34hBwcHyGSyIt9Fk5SUBBcXl2fum52djXXr1mHevHk65f/88w+Sk5NRp04dbZlKpcKHH36IsLAw3Lx5s0hdcrkccrm8SLmxsbHBX6zlUWd1UV59s/XMXXyw4RxUagGvv+SObwa1rPQB5El8zRSPfaMf+6V47Bv9DNkvpamnVKvxlEoljIyMcP78eZ1yOzu7UgcQADAxMUHr1q0RHR2tLVOr1YiOjka7du2eue+GDRugUCgwcuRInfJRo0bh7NmzOH36tPbm5uaGjz/+GLt27Sp1G6lq++t0AiavOwWVWsAbrWtXuQBCRFSdlWokxNjYGHXq1IFKZbhFfKGhoQgODkabNm3g5+eHsLAwZGdnY+zYsQCA0aNHw93dHQsXLtTZLzw8HP3794e9vb1Oub29fZEyY2NjuLi4wMfHx2Dtpsrvr9MJ+GD9aagFYHCb2vjy9RaQMoAQEVUapZ6OmTFjBj799FP8+uuvsLOze+EGDBkyBCkpKZg1axYSExPRqlUr7Ny5U7tYNT4+HlKp7oBNXFwcDh06hN27d7/w81P1tOnUHXz4+xmoBWCorwe+GNCcAYSIqJIpdQj58ccfcfXqVbi5ucHT01Pn1FgAOHnyZKkbERISgpCQEL2P6bsAmo+PDwRBKHH9+taBUPX154k7+OiPMxAEYJifBxb0ZwAhIqqMSh1C+vfvXw7NIDKMDf/dxtQ/z0IQgOH+dfB5v2YMIERElVSpQ8js2bPLox1EL+z3f2/jk42aADKybR3Me40BhIioMivzt+gSVSbrYuIxbeM5AEBwO0/Mea1pmc7YIiKiilPqECKVSp/55m7IM2eISmLN8Xh8ukkTQMa098LsoCYMIEREVUCpQ8imTZt07iuVSpw6dQorV67Ue+lzovL027Fb+Gyz5ro1Yzt4YVZfBhAioqqi1CGkX79+RcreeOMNNG3aFOvXr8f48eMN0jCi5/n16E3M/OsCAODNV7wxo09jBhAioirEYN9f3rZtW50rnxKVp5VHHgeQiZ3qMoAQEVVBBlmYmpubix9++AHu7u6GqI7omSIP38DcrRcBAG91rotprzZiACEiqoJKHUKe/qI6QRCQmZkJc3Nz/PbbbwZtHNHTfvnnOj7fdgkA8E6Xepga6MMAQkRURZU6hHz33Xc6b/pSqRSOjo7w9/dHrVq1DNo4oic9GUBCutbHhz0bMoAQEVVhpQ4hY8aMKYdmED3bzwev4YvtsQCA97vVxwcBDCBERFVdqRemRkZGYsOGDUXKN2zYgJUrVxqkUURPWnbgcQCZ3L0BQntyCoaIqDoodQhZuHAhHBwcipQ7OTnhiy++MEijiAot2XcVX+7QBJApPRrgg4CGIreIiIgMpdTTMfHx8fD29i5S7unpifj4eIM0iggAftx7Bd/uvgwACA1oiPe7NxC5RUREZEilHglxcnLC2bNni5SfOXMG9vb2BmkU0Q/RjwPIx4E+DCBERNVQqUdChg0bhvfffx9WVlbo1KkTAODAgQOYPHkyhg4davAGUs0TtucywvZcAQBMfdUH73apL3KLiIioPJQ6hMyfPx83b95E9+7dYWSk2V2tVmP06NFcE0IvRBAELIq6jB+iNQFkWq9GeLtzPZFbRURE5aXUIcTExATr16/H559/jtOnT8PMzAzNmzeHp6dnebSPaghBAMKir+GnA9cBAJ/2boSJnRhAiIiqszJftr1BgwZo0IDz9PTiBEHAtttSRCVoAshnfRrjzY51RW4VERGVt1IvTB04cCC++uqrIuVff/01Bg0aZJBGUc0hCAL+L+oqohI0L8VZfZswgBAR1RClDiEHDx5E7969i5T36tULBw8eNEijqGYQBAFf7ojF//65AQCY2acRxr1S9PRvIiKqnko9HZOVlQUTE5Mi5cbGxsjIyDBIo6j6EwQBX2y/hOWPAsgb3iqMbltH5FYREVFFKvVISPPmzbF+/foi5evWrUOTJk0M0iiq3gRBwOfbHgeQOUGN0dFFELlVRERU0Uo9EjJz5ky8/vrruHbtGrp16wYAiI6Oxpo1a/DHH38YvIFUvQiCgHl/X0Tk4ZsAgAUDmmHwy27Yvv2cuA0jIqIKV+oQEhQUhM2bN+OLL77AH3/8ATMzM7Rs2RJ79+6FnZ1debSRqglBEDB360WsOHITALDw9eYY5lcHSqVS3IYREZEoynSKbp8+fdCnTx8AQEZGBtauXYuPPvoIJ06cgEqlMmgDqXoQBAGzt1zAqqO3IJEAX77eHEN8uQaEiKgmK/WakEIHDx5EcHAw3Nzc8H//93/o1q0bjh07Zsi2UTWhVguY+dd5bQD56vUWDCBERFS6kZDExESsWLEC4eHhyMjIwODBg6FQKLB582YuSiW91GoBn/11HmuOx0MiAb55oyXeaF1b7GYREVElUOKRkKCgIPj4+ODs2bMICwvD3bt3sXjx4vJsG1VxarWAGZvPaQPI/w1iACEiosdKPBKyY8cOvP/++3jnnXd4uXZ6LrVawPSN57D+v9uQSoD/G9wSA15iACEiosdKPBJy6NAhZGZmonXr1vD398ePP/6I1NTU8mwbVVEqtYCpf57VBpDvhrRiACEioiJKHELatm2L5cuX4969e3jrrbewbt06uLm5Qa1WIyoqCpmZmeXZTqoiVGoBU/84iz9O3IFMKkHY0JfQr5W72M0iIqJKqNRnx1hYWGDcuHE4dOgQzp07hw8//BBffvklnJyc8Nprr5VHG6mKUKkFfLzhDP48qQkg3w9thddauondLCIiqqTKfIouAPj4+ODrr7/GnTt3sHbt2jLXs2TJEnh5ecHU1BT+/v6IiYkpdtsuXbpAIpEUuRVet0SpVOKTTz5B8+bNYWFhATc3N4wePRp3794tc/vo+VRqAR/+fhobTyVAJpVg8bCX0LcFAwgRERXvhUJIIZlMhv79+2PLli2l3nf9+vUIDQ3F7NmzcfLkSbRs2RKBgYFITk7Wu/3GjRtx79497e38+fOQyWQYNGgQACAnJwcnT57EzJkzcfLkSWzcuBFxcXEcpSlHBSo1Plh/GptP34WRVIIfh72E3s1dxW4WERFVcmW6YqohLVq0CBMmTMDYsWMBAMuWLcO2bdsQERGBadOmFdn+6UvDr1u3Dubm5toQYmNjg6ioKJ1tfvzxR/j5+SE+Ph516vAiWYZUoFJjyvrT+PvsPU0AGf4yXm3mInaziIioChA1hOTn5+PEiROYPn26tkwqlaJHjx44evRoieoIDw/H0KFDYWFhUew26enpkEgksLW11fu4QqGAQqHQ3s/IyACgmdox1PeaFNZTnb4nRalS48MN57DjQhKMZRL8MKQluvvYl/oYq2PfGAL7pXjsG/3YL8Vj3+hXHv1SmrokgiCI9h3qd+/ehbu7O44cOYJ27dppy6dOnYoDBw7g+PHjz9w/JiYG/v7+OH78OPz8/PRuk5eXhw4dOqBRo0ZYvXq13m3mzJmDuXPnFilfs2YNzM3NS3FENYdKDay6IsXpB1LIJALGNVSjmZ1oLyUiIqokcnJyMHz4cKSnp8Pa2vqZ24o+HfMiwsPD0bx582IDiFKpxODBgyEIApYuXVpsPdOnT0doaKj2fkZGBjw8PNCzZ8/ndmBJKZVKREVFISAgAMbGxgapUyz5BWp8sOEsTj9IhrFMswakm49jmeurTn1jSOyX4rFv9GO/FI99o1959EvhbEJJiBpCHBwcIJPJkJSUpFOelJQEF5dnryvIzs7GunXrMG/ePL2PFwaQW7duYe/evc8ME3K5HHK5vEi5sbGxwV+s5VFnRdIEkDPYfTEZJjIp/jeqNbo2cjJI3VW9b8oL+6V47Bv92C/FY9/oZ8h+KU09Bjk7pqxMTEzQunVrREdHa8vUajWio6N1pmf02bBhAxQKBUaOHFnkscIAcuXKFezZswf29vYGb3tNlF+gxrurT2L3xSSYGEnx82jDBRAiIqp5RJ+OCQ0NRXBwMNq0aQM/Pz+EhYUhOztbe7bM6NGj4e7ujoULF+rsFx4ejv79+xcJGEqlEm+88QZOnjyJv//+GyqVComJiQA0Z9aYmJhUzIFVM4oCFSatPok9l5IhN5Ji+eg26NSw7FMwREREooeQIUOGICUlBbNmzUJiYiJatWqFnTt3wtnZGQAQHx8PqVR3wCYuLg6HDh3C7t27i9SXkJCgvV5Jq1atdB7bt28funTpUi7HUZ3lKVV4d/VJ7I3VBJBfgtugYwMGECIiejGihxAACAkJQUhIiN7H9u/fX6TMx8cHxZ3U4+XlVexjVHp5ShXe/u0E9selwNRYivBgX3So7yB2s4iIqBqoFCGEKqc8pQoTfz2Bg5c1ASQi2BftGUCIiMhAGEJIrzylChNW/Yd/rqTCzFiGiDG+aFePC3yJiMhwGEKoiNx8TQA5dDUV5iYyRI7xhX9dBhAiIjIshhDSkZuvwviV/+LItfswN5FhxVg/+HnbPX9HIiKiUmIIIa2c/AKMX/Efjl6/DwsTGVaO80MbLwYQIiIqHwwhBEATQMZG/ovjNx7AUm6EleN80dqTAYSIiMoPQwghW1GAsSv+RcyNB7CSG2HleD+8XKeW2M0iIqJqjiGkhstSFGBsZAz+vfkQVnIjrBrvh5cYQIiIqAIwhNRgmXlKjIn8FyduPYSVqRF+He+PVh62YjeLiIhqCIaQGiozT4ngiBicjE+DtakRfnvTHy1q24rdLCIiqkEYQmqgjEcB5FR8GmzMjLH6TX80c7cRu1lERFTDMITUMOm5SoyOiMGZ22mwNTfGb+MZQIiISBwMITVIeo4SoyKO4+yddNiaa0ZAmroxgBARkTgYQmqI9BwlRoYfx7mEdNQyN8bqN9uiiZu12M0iIqIajCGkBkjLycfI8OM4n5ABOwsTrJngj0YuDCBERCQuhpBq7mF2Pkb8chwX72XA3sIEaya0hY+LldjNIiIiYgipzh48CiCX7mXAwVITQBo6M4AQEVHlwBBSTd3PUmDEL8cRm5gJB0s51k7wRwMGECIiqkQYQqqh1CwFRiw/jrikTDhaybF2QlvUd7IUu1lEREQ6GEKqmdQsBYYvP4bLSVlwspJj7cS2qOfIAEJERJUPQ0g1kpKpCSBXkrPgbK0ZAanLAEJERJUUQ0g1kZyRh2HLj+FaSjZcrE2xdmJbeDtYiN0sIiKiYjGEVAPJGXkYuvwYrqdkw9XGFGsntIUXAwgREVVyDCFVXFJGHob9fAzXU7PhbmuGtRPaoo69udjNIiIiei6GkCosMV0zBXPjUQBZN7EtPOwYQIiIqGpgCKmi7qXnYtjPx3Dzfg4DCBERVUkMIVVQQpomgMQ/yIGHnWYKpnYtBhAiIqpaGEKqmDsPczBs+THcfpCLOnbmWDuxLdxtzcRuFhERUakxhFQhtx9oAsidh7nwtDfH2glt4cYAQkREVRRDSBVx+0EOhv58DAlpufCy14yAuNowgBARUdXFEFIFxN/XjIAkpOWiroMF1kxoCxcbU7GbRURE9EIYQiq5W/ezMeznY7ibnoe6jhZYO6EtnK0ZQIiIqOqTit0AAFiyZAm8vLxgamoKf39/xMTEFLttly5dIJFIitz69Omj3UYQBMyaNQuurq4wMzNDjx49cOXKlYo4FIO6mZqNoY8CSD1HC6xjACEiompE9BCyfv16hIaGYvbs2Th58iRatmyJwMBAJCcn691+48aNuHfvnvZ2/vx5yGQyDBo0SLvN119/jR9++AHLli3D8ePHYWFhgcDAQOTl5VXUYb2wG48CyL30PNR3ssTaiW3hxABCRETViOghZNGiRZgwYQLGjh2LJk2aYNmyZTA3N0dERITe7e3s7ODi4qK9RUVFwdzcXBtCBEFAWFgYPvvsM/Tr1w8tWrTAqlWrcPfuXWzevLkCj6zsrqVkYcj/jiIxIw8NnCyxdkJbOFkxgBARUfUi6pqQ/Px8nDhxAtOnT9eWSaVS9OjRA0ePHi1RHeHh4Rg6dCgsLDRf2Hbjxg0kJiaiR48e2m1sbGzg7++Po0ePYujQoUXqUCgUUCgU2vsZGRkAAKVSCaVSWaZje1phPc+r71pKNkZH/ofkTAUaOlli1djWsDWVGqwdlVFJ+6amYb8Uj32jH/uleOwb/cqjX0pTl6ghJDU1FSqVCs7Ozjrlzs7OiI2Nfe7+MTExOH/+PMLDw7VliYmJ2jqerrPwsactXLgQc+fOLVK+e/dumJsb9kqkUVFRxT6WmAMsuShDhlICV3MBwXXScPxgtEGfvzJ7Vt/UZOyX4rFv9GO/FI99o58h+yUnJ6fE21bps2PCw8PRvHlz+Pn5vVA906dPR2hoqPZ+RkYGPDw80LNnT1hbW79oMwFokmFUVBQCAgJgbGxc5PEryVmYH/kfMpT5aORsiZVj28DOwsQgz13ZPa9vair2S/HYN/qxX4rHvtGvPPqlcDahJEQNIQ4ODpDJZEhKStIpT0pKgouLyzP3zc7Oxrp16zBv3jyd8sL9kpKS4OrqqlNnq1at9NYll8shl8uLlBsbGxv8xaqvzrjETIyO/A+pWflo4mqN1W/6o1YNCSBPKo/+rg7YL8Vj3+jHfike+0Y/Q/ZLaeoRdWGqiYkJWrdujejox1MOarUa0dHRaNeu3TP33bBhAxQKBUaOHKlT7u3tDRcXF506MzIycPz48efWKYbYxAwMX34MqVn5aOpmjTUTamYAISKimkf06ZjQ0FAEBwejTZs28PPzQ1hYGLKzszF27FgAwOjRo+Hu7o6FCxfq7BceHo7+/fvD3t5ep1wikWDKlCn4/PPP0aBBA3h7e2PmzJlwc3ND//79K+qwSuTSvQyM+OU4HmTno7m7DX4d7wdbcwYQIiKqGUQPIUOGDEFKSgpmzZqFxMREtGrVCjt37tQuLI2Pj4dUqjtgExcXh0OHDmH37t1665w6dSqys7MxceJEpKWl4ZVXXsHOnTthalp5TnO9eDcDI345hoc5SrSobYNfx/nDxpxDhEREVHOIHkIAICQkBCEhIXof279/f5EyHx8fCIJQbH0SiQTz5s0rsl6ksjifkI6R4ceRlqNEy9o2WDXeHzZmDCBERFSzVIoQUpNcuJuB4BUnkJ6rRCsPW6wa7wdrUwYQIiKqeUS/YmpNcjsLGB35H9JzlXi5ji1+ZQAhIqIajCMhFeTsnXQsuShDrqoArT1rYcVYX1gxgBARUQ3GEFIB8pQqvL36FHJVErSuY4uV4/xgKWfXExFRzcbpmApgaizD1wObo5GNGr+MfpkBhIiICBwJqTCv1LdHemM1AwgREdEjHAmpQBKJ2C0gIiKqPBhCiIiISBQMIURERCQKhhAiIiISBUMIERERiYIhhIiIiETBEEJERESiYAghIiIiUTCEEBERkSgYQoiIiEgUDCFEREQkCoYQIiIiEgVDCBEREYmCIYSIiIhEwRBCREREomAIISIiIlEwhBAREZEoGEKIiIhIFAwhREREJAqGECIiIhIFQwgRERGJgiGEiIiIRMEQQkRERKJgCCEiIiJRMIQQERGRKBhCiIiISBQMIURERCQK0UPIkiVL4OXlBVNTU/j7+yMmJuaZ26elpWHSpElwdXWFXC5Hw4YNsX37du3jKpUKM2fOhLe3N8zMzFCvXj3Mnz8fgiCU96EQERFRKRiJ+eTr169HaGgoli1bBn9/f4SFhSEwMBBxcXFwcnIqsn1+fj4CAgLg5OSEP/74A+7u7rh16xZsbW2123z11VdYunQpVq5ciaZNm+K///7D2LFjYWNjg/fff78Cj46IiIieRdQQsmjRIkyYMAFjx44FACxbtgzbtm1DREQEpk2bVmT7iIgIPHjwAEeOHIGxsTEAwMvLS2ebI0eOoF+/fujTp4/28bVr1z53hIWIiIgqlmghJD8/HydOnMD06dO1ZVKpFD169MDRo0f17rNlyxa0a9cOkyZNwl9//QVHR0cMHz4cn3zyCWQyGQCgffv2+Pnnn3H58mU0bNgQZ86cwaFDh7Bo0aJi26JQKKBQKLT3MzIyAABKpRJKpdIQh6utx1D1VSfsG/3YL8Vj3+jHfike+0a/8uiX0tQlWghJTU2FSqWCs7OzTrmzszNiY2P17nP9+nXs3bsXI0aMwPbt23H16lW8++67UCqVmD17NgBg2rRpyMjIQKNGjSCTyaBSqbBgwQKMGDGi2LYsXLgQc+fOLVK+e/dumJubv8BRFhUVFWXQ+qoT9o1+7JfisW/0Y78Uj32jnyH7JScnp8TbijodU1pqtRpOTk74+eefIZPJ0Lp1ayQkJOCbb77RhpDff/8dq1evxpo1a9C0aVOcPn0aU6ZMgZubG4KDg/XWO336dISGhmrvZ2RkwMPDAz179oS1tbVB2q5UKhEVFYWAgADtVBJpsG/0Y78Uj32jH/uleOwb/cqjXwpnE0pCtBDi4OAAmUyGpKQknfKkpCS4uLjo3cfV1RXGxsbaqRcAaNy4MRITE5Gfnw8TExN8/PHHmDZtGoYOHQoAaN68OW7duoWFCxcWG0LkcjnkcnmRcmNjY4O/WMujzuqCfaMf+6V47Bv92C/FY9/oZ8h+KU09op2ia2JigtatWyM6OlpbplarER0djXbt2undp0OHDrh69SrUarW27PLly3B1dYWJiQkAzTCQVKp7WDKZTGcfIiIiEp+o1wkJDQ3F8uXLsXLlSly6dAnvvPMOsrOztWfLjB49Wmfh6jvvvIMHDx5g8uTJuHz5MrZt24YvvvgCkyZN0m4TFBSEBQsWYNu2bbh58yY2bdqERYsWYcCAARV+fERERFQ8UdeEDBkyBCkpKZg1axYSExPRqlUr7Ny5U7tYNT4+XmdUw8PDA7t27cIHH3yAFi1awN3dHZMnT8Ynn3yi3Wbx4sWYOXMm3n33XSQnJ8PNzQ1vvfUWZs2aVeHHR0RERMUTfWFqSEgIQkJC9D62f//+ImXt2rXDsWPHiq3PysoKYWFhCAsLM1ALiYiIqDyIftl2IiIiqpkYQoiIiEgUDCFEREQkCoYQIiIiEgVDCBEREYmCIYSIiIhEwRBCREREomAIISIiIlEwhBAREZEoGEKIiIhIFAwhREREJAqGECIiIhIFQwgRERGJgiGEiIiIRMEQQkRERKJgCCEiIiJRMIQQERGRKBhCiIiISBQMIURERCQKhhAiIiISBUMIERERiYIhhIiIiETBEEJERESiYAghIiIiUTCEEBERkSgYQoiIiEgURmI3gIgAqFVAzgMg5772JslMhnfKGUguSwA7L8DWAzC1BSQSsVtLRGQQDCFEhiYIQF76ozChGyyQk6q/PDcNgKBTjRGAFgCwYdXjQhNLwKb2EzePR7dH963dAJlxxR0rEdELYAghep78nKeCxIMnwsR9/aFCXVC25zK1BcztAQsHqE1rISk5Bc5mBZBmJGieMz8LSInV3PSRSAEr12cHFVMbjqYQUaXAEEI1i0r5RGBILT5EZKc+LivILdtzmVgC5naaUKFzswPMHYqWm9UCZI//S6qUSsRs347evXtDamwMKHOB9AQg/faj251Htyd+VuUDGQma2+3jxbTLShNGbD30BxUrV512EBGVF77TUNWlVgN5aU+NSDw1OpH9VNBQpJftuaTGgIXDEyGiMDzoK3t039jMoIcLYzPAob7mpo9aDWSnPBFM9ASVnPtAfiaQcklz00ciBazcigkqj/41tTbssRFRjcQQQpWDIACKTCAr4xkjE0+V5z4ABHUZnkxSzAiFvpudJnyYWFb+KQypFLBy1txqt9a/TX72E6MpT4+k3NY8plYCGXc0t9vH9Ncjt3kcTmw9ngopj0ZTpLLyO1YiqhYYQqh8FChKMDKhKTPKSUXfrFTITivL9lxy6ydCRXEjE/aPRzJMbWruB6SJBeDYUHPTR60GspOBNH0jKY/u5z7UjCglpwPJF/TXI5EB1u66a1Nsn1qbIrcqv+MkoipB9BCyZMkSfPPNN0hMTETLli2xePFi+Pn5Fbt9WloaZsyYgY0bN+LBgwfw9PREWFgYevfurd0mISEBn3zyCXbs2IGcnBzUr18fkZGRaNOmTUUcUvWjVmk+eJ43MvHkLT+rxNVLAGgjgUz+xLSHvrUU9rqPm9kBRiblcdQ1k1QKWLlobh6++rdRZGnWnBQJKneA9Hgg465mYW56vOZWHFMbwKZO8UHF0rnmhkWiilKggFxZxmlqAxA1hKxfvx6hoaFYtmwZ/P39ERYWhsDAQMTFxcHJyanI9vn5+QgICICTkxP++OMPuLu749atW7C1tdVu8/DhQ3To0AFdu3bFjh074OjoiCtXrqBWrVoVeGSVmCAAioxnjEw8GSxSiz19tEQkMv0hQmdkwg5KExvsO34WXXsPhLE5z9yo9OSWgKOP5qaPWgVkJWlCSVr8UyHlUVDJS390OwckndNfj9RIc8rx00HFxgOwdIVMlVd+x0hUVQgCoMzRvE/npT36N/2Jn4spy0sHctNgXJCLVwEo+wwAjCv+9H5RQ8iiRYswYcIEjB07FgCwbNkybNu2DREREZg2bVqR7SMiIvDgwQMcOXIExo86y8vLS2ebr776Ch4eHoiMjNSWeXt7l99BiE2ZW3TxZZHrUhj49FF9ayb0lcttNH9ZP/cYlMg1uauZKmAAqfqkMk14sHYDPIoZ1czL0IymFE71pD01opKRoHmdpsVrbk8xBtAXgHDlE/2nIeuMpvDC0FTJqdWaPw5LER50HleXcSr7EQESzf9Js4qfIhUthOTn5+PEiROYPn26tkwqlaJHjx44evSo3n22bNmCdu3aYdKkSfjrr7/g6OiI4cOH45NPPoFMJtNuExgYiEGDBuHAgQNwd3fHu+++iwkTJhTbFoVCAYVCob2fkZEBAFAqlVAqX+yXW6iwnmfWp1JqFlvmPIAkVxMoJIULMHPua3+WFIaN3AeQKHPK1B7B2AIwt4NgZqcNDYK5PWD25M+P/4W5neYv09JQqTS35yhR39RA1bpfZGZArfqamz7qAiArCZJ0zQJZyaPFtJKMO5A8Ci8SRQYkuQ81U4WJ+kdTBKkxYO0OwcYdsK4NwaY2BGtNUNH86w4Ym5fjgVasav2aeUHl3jfqAm1gkOSma9ZN5aVBUhgUFOmPf85LgyQvTfPBn5cGKDIgKdMi+8cEqZHmD0VTGwimNk/8rPlX+7PZo3K5DWBmC6XMAlEHjyFAXgsw8OddSUgEQSjDOPuLu3v3Ltzd3XHkyBG0a9dOWz516lQcOHAAx48XvcZBo0aNcPPmTYwYMQLvvvsurl69infffRfvv/8+Zs+eDQAwNTUFAISGhmLQoEH4999/MXnyZCxbtgzBwcF62zJnzhzMnTu3SPmaNWtgbm6YNyiHzIswz0+BSUEmTAoyIS/I0v5sonr0s6psgUItkSFfZgWFkRXyjayQb2SJfKPC+5bIlz0uVxhZI9/IEmop11FQ1WakyoFZ/n2Y59+HWf59mCnvP7qf+uj+Q0hKMI2oMLJCrrE9ck3skWNij1zjR/8+uimMrDWnLVO1J1Xnw1iVA2NVNowLcmCiyn58X5UN44JsmKhyntjmUbkqB8bqF58eVEmMoZRZIN/IAkqZ+aObBZRGFsiXWTy+LzMvUqaSyivNSHJOTg6GDx+O9PR0WFs/+3T+KhVCGjZsiLy8PNy4cUM78rFo0SJ88803uHfvHgDAxMQEbdq0wZEjR7T7vf/++/j333+LHWHRNxLi4eGB1NTU53ZgSUkjX4Xs7n/P3U6ARHPRKnN7nVEInZGJRyMWQuEai6pw+ugzKJVKREVFISAgQDvNRuyXZylR36gLgMxESNJvPx5NybgDSfodSDI000CS/OznPpcgM3k0mlJbM5pS+LONBwRrd81ZQIa+JkwZ1fjXjCAAymztmiPJE1MW6uz7uH7pNOq52UOW/2gEIi/j0YiEZhtJwYsHCcHE8tHIg+1TIxKFP9tCMLPRTFeb2eqMVMDI9IWfv7TK4zWTkZEBBweHEoUQ0aZjHBwcIJPJkJSUpFOelJQEFxcXvfu4urrC2NhYG0AAoHHjxkhMTER+fj5MTEzg6uqKJk2a6OzXuHFj/Pnnn8W2RS6XQy6XFyk3NjY22C9F5eGHxCwlnDwbQWrpWOxVMyVmttozAqpurCgbQ/Z3dcJ+Kd6z+8YYkHsDDsWsCSv8jh99pyGn39GsU8m8B4kqH3h4A5KHN4pviLmD/tOQbWprFtZaOFToHwpV+jWjXR+RVupFlshLe+aat0YAkPi8Bkg0geDRtAW0Uxi2+st0fraB5ImrDVel93BDvmZKU49oIcTExAStW7dGdHQ0+vfvDwBQq9WIjo5GSEiI3n06dOiANWvWQK1WQ/posdnly5fh6uoKExMT7TZxcXE6+12+fBmenp7ldzAloO4xD8fzn7gENxGJSyLRfHiY2QIuzfRvo1JqTjl+8syeJxfQpt3W/OWdk6q53Tutvx6ZXHfR7NNXorV2B4wr/q/gcqNSPj4DKjcNyHtYikCRgTKdjfekwvURT4QDtdwat5LTUadhS8gs7J4IGra64UJuzcXMFUjUs2NCQ0MRHByMNm3awM/PD2FhYcjOztaeLTN69Gi4u7tj4cKFAIB33nkHP/74IyZPnoz33nsPV65cwRdffIH3339fW+cHH3yA9u3b44svvsDgwYMRExODn3/+GT///LMox0hEVZjMGKjlqbnpIwiahbE6pyA/NaKSmQioFMCDa5pbcSycnh1UzO0rdtpVmVf20YhSXCeoWEZmeoKCbfHh4ckyY/MifaVSKnF2+3bU7tobMv4hWGmIGkKGDBmClJQUzJo1C4mJiWjVqhV27twJZ2dnAEB8fLx2xAMAPDw8sGvXLnzwwQdo0aIF3N3dMXnyZHzyySfabXx9fbFp0yZMnz4d8+bNg7e3N8LCwjBixIgKPz4iquYkhV8BYAe4ttC/TUE+kHn3qdOQnwoqyhzNlWqzk4G7J/XXY2Sm59uRn7hsvrU7gCf+ghcEzWX6S33K56MyA6yPgIlVKaY1bHR/rk4jQ1Qs0a+YGhISUuz0y/79+4uUtWvXDseOFfN9Fo/07dsXffv2NUTziIhejJEJUMtLc9NHO5ry5PVSngosWUmab3O+f0VzK+6pLJzQvUACo7gPHl0/oozXBNKSPH/kQe9oxaNyfhszPQdfIUREYtIZTWmpf5sCxeOLuxUXVAryIMlOhuXT+z69PuKZ4eGpMhMrro+gcsUQQkRU2RnJAbu6mps+ggDk3EdB6nUcO7QP/l1ehbGlQ7HrI4gqC4YQIqKqTiIBLBwgmNjgvuU9wKmJKN8DQlRaHGcjIiIiUTCEEBERkSgYQoiIiEgUDCFEREQkCoYQIiIiEgVDCBEREYmCIYSIiIhEwRBCREREomAIISIiIlEwhBAREZEoGEKIiIhIFAwhREREJAqGECIiIhIFQwgRERGJwkjsBlRGgiAAADIyMgxWp1KpRE5ODjIyMmDMr9jWwb7Rj/1SPPaNfuyX4rFv9CuPfin87Cz8LH0WhhA9MjMzAQAeHh4it4SIiKhqyszMhI2NzTO3kQgliSo1jFqtxt27d2FlZQWJRGKQOjMyMuDh4YHbt2/D2traIHVWF+wb/dgvxWPf6Md+KR77Rr/y6BdBEJCZmQk3NzdIpc9e9cGRED2kUilq165dLnVbW1vzP0Ax2Df6sV+Kx77Rj/1SPPaNfobul+eNgBTiwlQiIiISBUMIERERiYIhpILI5XLMnj0bcrlc7KZUOuwb/dgvxWPf6Md+KR77Rj+x+4ULU4mIiEgUHAkhIiIiUTCEEBERkSgYQoiIiEgUDCFEREQkCoYQA1qyZAm8vLxgamoKf39/xMTEPHP7DRs2oFGjRjA1NUXz5s2xffv2CmppxStN36xYsQISiUTnZmpqWoGtrRgHDx5EUFAQ3NzcIJFIsHnz5ufus3//frz88suQy+WoX78+VqxYUe7trGil7Zf9+/cXeb1IJBIkJiZWTIMryMKFC+Hr6wsrKys4OTmhf//+iIuLe+5+NeF9pix9UxPeZ5YuXYoWLVpoL0TWrl077Nix45n7VPTrhSHEQNavX4/Q0FDMnj0bJ0+eRMuWLREYGIjk5GS92x85cgTDhg3D+PHjcerUKfTv3x/9+/fH+fPnK7jl5a+0fQNort5379497e3WrVsV2OKKkZ2djZYtW2LJkiUl2v7GjRvo06cPunbtitOnT2PKlCl48803sWvXrnJuacUqbb8UiouL03nNODk5lVMLxXHgwAFMmjQJx44dQ1RUFJRKJXr27Ins7Oxi96kp7zNl6Rug+r/P1K5dG19++SVOnDiB//77D926dUO/fv1w4cIFvduL8noRyCD8/PyESZMmae+rVCrBzc1NWLhwod7tBw8eLPTp00enzN/fX3jrrbfKtZ1iKG3fREZGCjY2NhXUusoBgLBp06ZnbjN16lShadOmOmVDhgwRAgMDy7Fl4ipJv+zbt08AIDx8+LBC2lRZJCcnCwCEAwcOFLtNTXqfeVJJ+qYmvs8IgiDUqlVL+OWXX/Q+JsbrhSMhBpCfn48TJ06gR48e2jKpVIoePXrg6NGjevc5evSozvYAEBgYWOz2VVVZ+gYAsrKy4OnpCQ8Pj2cm95qkprxmyqpVq1ZwdXVFQEAADh8+LHZzyl16ejoAwM7OrthtauprpiR9A9Ss9xmVSoV169YhOzsb7dq107uNGK8XhhADSE1NhUqlgrOzs065s7NzsfPSiYmJpdq+qipL3/j4+CAiIgJ//fUXfvvtN6jVarRv3x537typiCZXWsW9ZjIyMpCbmytSq8Tn6uqKZcuW4c8//8Sff/4JDw8PdOnSBSdPnhS7aeVGrVZjypQp6NChA5o1a1bsdjXlfeZJJe2bmvI+c+7cOVhaWkIul+Ptt9/Gpk2b0KRJE73bivF64bfoUqXTrl07naTevn17NG7cGP/73/8wf/58EVtGlZGPjw98fHy099u3b49r167hu+++w6+//ipiy8rPpEmTcP78eRw6dEjsplQ6Je2bmvI+4+Pjg9OnTyM9PR1//PEHgoODceDAgWKDSEXjSIgBODg4QCaTISkpSac8KSkJLi4uevdxcXEp1fZVVVn65mnGxsZ46aWXcPXq1fJoYpVR3GvG2toaZmZmIrWqcvLz86u2r5eQkBD8/fff2LdvH2rXrv3MbWvK+0yh0vTN06rr+4yJiQnq16+P1q1bY+HChWjZsiW+//57vduK8XphCDEAExMTtG7dGtHR0doytVqN6OjoYufe2rVrp7M9AERFRRW7fVVVlr55mkqlwrlz5+Dq6lpezawSasprxhBOnz5d7V4vgiAgJCQEmzZtwt69e+Ht7f3cfWrKa6YsffO0mvI+o1aroVAo9D4myuul3Ja81jDr1q0T5HK5sGLFCuHixYvCxIkTBVtbWyExMVEQBEEYNWqUMG3aNO32hw8fFoyMjIRvv/1WuHTpkjB79mzB2NhYOHfunFiHUG5K2zdz584Vdu3aJVy7dk04ceKEMHToUMHU1FS4cOGCWIdQLjIzM4VTp04Jp06dEgAIixYtEk6dOiXcunVLEARBmDZtmjBq1Cjt9tevXxfMzc2Fjz/+WLh06ZKwZMkSQSaTCTt37hTrEMpFafvlu+++EzZv3ixcuXJFOHfunDB58mRBKpUKe/bsEesQysU777wj2NjYCPv37xfu3bunveXk5Gi3qanvM2Xpm5rwPjNt2jThwIEDwo0bN4SzZ88K06ZNEyQSibB7925BECrH64UhxIAWL14s1KlTRzAxMRH8/PyEY8eOaR/r3LmzEBwcrLP977//LjRs2FAwMTERmjZtKmzbtq2CW1xxStM3U6ZM0W7r7Ows9O7dWzh58qQIrS5fhaeWPn0r7Ivg4GChc+fORfZp1aqVYGJiItStW1eIjIys8HaXt9L2y1dffSXUq1dPMDU1Fezs7IQuXboIe/fuFafx5UhfnwDQeQ3U1PeZsvRNTXifGTdunODp6SmYmJgIjo6OQvfu3bUBRBAqx+tFIgiCUH7jLERERET6cU0IERERiYIhhIiIiETBEEJERESiYAghIiIiUTCEEBERkSgYQoiIiEgUDCFEREQkCoYQIiIiEgVDCBFVWxKJBJs3bxa7GURUDIYQIioXY8aMgUQiKXJ79dVXxW4aEVUSRmI3gIiqr1dffRWRkZE6ZXK5XKTWEFFlw5EQIio3crkcLi4uOrdatWoB0EyVLF26FL169YKZmRnq1q2LP/74Q2f/c+fOoVu3bjAzM4O9vT0mTpyIrKwsnW0iIiLQtGlTyOVyuLq6IiQkROfx1NRUDBgwAObm5mjQoAG2bNmifezhw4cYMWIEHB0dYWZmhgYNGhQJTURUfhhCiEg0M2fOxMCBA3HmzBmMGDECQ4cOxaVLlwAA2dnZCAwMRK1atfDvv/9iw4YN2LNnj07IWLp0KSZNmoSJEyfi3Llz2LJlC+rXr6/zHHPnzsXgwYNx9uxZ9O7dGyNGjMCDBw+0z3/x4kXs2LEDly5dwtKlS+Hg4FBxHUBU05Xrd/QSUY0VHBwsyGQywcLCQue2YMECQRA0X7/+9ttv6+zj7+8vvPPOO4IgCMLPP/8s1KpVS8jKytI+vm3bNkEqlQqJiYmCIAiCm5ubMGPGjGLbAED47LPPtPezsrIEAMKOHTsEQRCEoKAgYezYsYY5YCIqNa4JIaJy07VrVyxdulSnzM7OTvtzu3btdB5r164dTp8+DQC4dOkSWrZsCQsLC+3jHTp0gFqtRlxcHCQSCe7evYvu3bs/sw0tWrTQ/mxhYQFra2skJycDAN555x0MHDgQJ0+eRM+ePdG/f3+0b9++TMdKRKXHEEJE5cbCwqLI9IihmJmZlWg7Y2NjnfsSiQRqtRoA0KtXL9y6dQvbt29HVFQUunfvjkmTJuHbb781eHuJqCiuCSEi0Rw7dqzI/caNGwMAGjdujDNnziA7O1v7+OHDhyGVSuHj4wMrKyt4eXkhOjr6hdrg6OiI4OBg/PbbbwgLC8PPP//8QvURUclxJISIyo1CoUBiYqJOmZGRkXbx54YNG9CmTRu88sorWL16NWJiYhAeHg4AGDFiBGbPno3g4GDMmTMHKSkpeO+99zBq1Cg4OzsDAObMmYO3334bTk5O6NWrFzIzM3H48GG89957JWrfrFmz0Lp1azRt2hQKhQJ///23NgQRUfljCCGicrNz5064urrqlPn4+CA2NhaA5syVdevW4d1334WrqyvWrl2LJk2aAADMzc2xa9cuTJ48Gb6+vjA3N8fAgQOxaNEibV3BwcHIy8vDd999h48++ggODg544403Stw+ExMTTJ8+HTdv3oSZmRk6duyIdevWGeDIiagkJIIgCGI3gohqHolEgk2bNqF///5iN4WIRMI1IURERCQKhhAiIiISBdeEEJEoOBNMRBwJISIiIlEwhBAREZEoGEKIiIhIFAwhREREJAqGECIiIhIFQwgRERGJgiGEiIiIRMEQQkRERKL4fwNQIPQZdTbPAAAAAElFTkSuQmCC\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Loss Curve (Extra – Recommended)\n", + "plt.figure(figsize=(6,5))\n", + "plt.plot(history.history['loss'], label='Train Loss')\n", + "plt.plot(history.history['val_loss'], label='Validation Loss')\n", + "plt.xlabel(\"Epochs\")\n", + "plt.ylabel(\"Loss\")\n", + "plt.title(\"Training vs Validation Loss\")\n", + "plt.legend()\n", + "plt.grid()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 487 + }, + "id": "aX_5n_Q_S5PY", + "outputId": "3e023335-86ca-43a7-97dc-a0d4539b87d2" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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of file diff --git a/phase4/tables/master_metrics.csv b/phase4/tables/master_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..9416aaa170283b0341f87a2e1a25d0d2253be5a4 --- /dev/null +++ b/phase4/tables/master_metrics.csv @@ -0,0 +1,5 @@ +accuracy,balanced_accuracy,precision,recall,specificity,f1,roc_auc,dataset +0.6187308085977482,0.5973896763783892,0.6101398601398601,0.4006888633754305,0.7940904886481158,0.4837144837144837,0.6283938288527531,hindi +0.7663333333333333,0.7663333333333333,0.7310584152689416,0.8426666666666667,0.6899999995399999,0.7829049241251161,0.8487511111111111,english +0.7021943573667712,0.6295277973968318,0.8345864661654135,0.2967914438502674,0.9622641492928574,0.4378698224852071,0.7216453710752974,hinglish +0.6974619289340102,0.6962163002097739,0.6728060671722643,0.6786885245901639,0.7137440756038723,0.675734494015234,0.7694864423898689,combined diff --git a/phase4/tables/metrics.csv b/phase4/tables/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..1be32a94903f9a35d551b2feee20aed478290950 --- /dev/null +++ b/phase4/tables/metrics.csv @@ -0,0 +1,2 @@ +accuracy,balanced_accuracy,precision,recall,specificity,f1,roc_auc +0.6974619289340102,0.6962163002097739,0.6728060671722643,0.6786885245901639,0.7137440756038723,0.675734494015234,0.7694864423898689 diff --git a/phase5/README.md b/phase5/README.md new file mode 100644 index 0000000000000000000000000000000000000000..20a5eecdff106c4b012de5fc10e44693ddeca235 --- /dev/null +++ b/phase5/README.md @@ -0,0 +1,21 @@ +# Phase 5 - GloVe+BiLSTM Fine-Tune and SHAP Explainability + +[Back to model card](../README.md) | [Dataset repository](https://huggingface.co/datasets/pankajbiswas6/prism-hinglish-hate-speech) + +## Setup +- Goal: fine-tune the best hybrid (GloVe+BiLSTM) with a HHE (Hindi-Hinglish-English) regime + and add explainability via SHAP. +- Per-language best models saved: english_best, hindi_best, hinglish_best, full_dataset_best. + +## Findings +- SHAP confirms the model keys on profanity/abuse tokens for the hate class but is misled by + transliterated slurs and code-switch boundaries (visible in the false-negative force plots). +- False positives cluster around aggressive-but-non-hateful phrasing; false negatives around + obfuscated or romanized Hindi abuse, a concrete target for future preprocessing. + +## Files +- Figures: [`figures/`](figures/) - per-language confusion matrix, ROC, PR, F1, train curves +- SHAP: [`shap/`](shap/) - false-positive and false-negative force plots plus waterfall samples + (representative subset; the full set of ~1,390 plots was generated during training) +- Tables: [`tables/`](tables/) - final_results, fp_fn_samples +- Models: [`models/`](models/) - english/hindi/hinglish/full_dataset best (.h5) diff --git a/phase5/figures/english_confusion_matrix.png b/phase5/figures/english_confusion_matrix.png new file mode 100644 index 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+full_dataset,0.6958093301705637,0.6947823665007833,0.6700191570881227,0.6802820325796256,0.709282700421941,0.6751115936783689,0.7674183483264447 diff --git a/phase5/tables/fp_fn_samples.csv b/phase5/tables/fp_fn_samples.csv new file mode 100644 index 0000000000000000000000000000000000000000..f5633c6a9c91b00c48d113fb9bdadac1bc1767b2 --- /dev/null +++ b/phase5/tables/fp_fn_samples.csv @@ -0,0 +1,4100 @@ +clean_text,hate_label,language +Tu Bach Gaya Hindu rape karta hai to Teri bolti band Hoti hai wah saale wah,0,hinglish +Phir ais region mein log insaan ban kar jee sakaain gay.,0,hinglish +cbn internet relay chat reporting request i would like and including the asterisks added to please use as the channel if you choose to do this for me i am not worrying about vandalism on them i just wish to have them reported to my channel thanks,0,english +partly done i have not found any reliable video link yet but the transcript of the interview on cnn com and have replaced the misleading source with it thanks for the improvement suggested anyway cheers,0,english +there are therefore many types of people in existence suffice whatever need asian,1,english +he signed me little shit,1,english +kisi rape ki paidawar he tu,0,hinglish +i am too tired i am where are you too tired to debate with every me right now and i am getting exhausted of that user s high handed debating style i e i know the rules where are you better than you so shut up and stay in your corner so i am going to be quiet before i say something stupid in that debate i have said my piece and even tried a compromise version which every me shot down as a straw man argument and that i should stop distracting the discussion on a side note i am getting really exhausted of that user bandying around all the policies like whatever do not know them you know where i stand and what i am worried around thanks for letting me vent on your talk page,0,english +sometimes even unclean,1,english +i support with you accountable my hope for is that instead of falling for these ploys voters in the united states will turn out on record numbers for a candidate who thinks trump sounds worse than that severed headed pillow biting elton john a republican who demands the use of the tacklers and the execution of international corporate executives for their role behind the opioid crisis,1,english +nude men and womenmalayalam girl meets naked porn..,1,english +retweet does this mean i am not getting my thin mints blacks in indianapolis create conditions where year old sinai http,0,english +देखो मुंबई में अभी से पाकिस्तान जिंदाबाद के नारे लगने लगे। तुम सोए रहो हिन्दुओं।,1,hindi +देश में कोरोना संक्रमण का आंकड़ा लाख के पार पहुंचा नए मामलों के आंकड़े जानकर हैरान हो जाएंगे आप,1,hindi +watching.. the little nigger movie trying instead to learn far more details about the enemy good reconnaissance,1,english +read what i tell and understand my meaning if you stay to harass me information technology is your prat that is grass 1 birth violated no policies you have leave me equal,1,english +"Naahi Aata naahi karnaar RT ,Malaa vaatal ti fakt Deepika la hate karte..",0,hinglish +i have embody open about hvg fibromyalgia being a survivor of years child rape more than one rapist be yet my main complaint,1,english +the isis comment comes up in the first few search hits because it is current that is how google works but again compare with donald trump his most recent remarks regarding muslims and terrorist families do not warrant a separate section that is how a blp is written,0,english +iq of lmao so pleased whatever are housing these racist animals in the country should view it like a wild animal attack and put the racist down,0,english +लोग कब समझेंगे की केवल निचली जात के लोग ही हिंसक और क्रूर हैं,1,hindi +किसी भी कीड़े का जीवन एक बांग्लादेशी की तुलना में अधिक मूल्यवान है,1,hindi +हिन्दू सबसे बकवास होते हैं,0,hindi +fsxboards ok someone keeps reading boxboards co nr to the external links page it is not significant enough to be added to an encyclopedia note wikipedia is not an advertising space,0,english +many were no longer admitted into the u z as immigrants with much surprising but good opportunity now which just need totally ban everyone else and coming here too,1,english +ok just checking,0,english +yeah would never i am not sexist but women please just stop tweeting about football whatever does not tweet about cooking,1,english +@chintskap @virendersehwag #terrorism at #THEOVAL !! Baap se khelne ka shoq poora ho gaya? …,0,hinglish +message to its attackers leave not him alone what damage has i he done to you you ips who attack this user give honest and internet and protocol editors a bad dirty name already this shit bitch needs him to stop now,1,english +hi can you please re assess i miss you beyonce knowles song,0,english +i hate him.. lagta hai kisi ledki ne uska aise dil toda hai ke poora badla apni films ke heroins se le raha hai..,1,hinglish +प्रणब मुखर्जी प्रधानमंत्री न बन पाने की कसक रही जीवन भर,0,hindi +that is what she gets that is what she gets that is what she gets,0,english +.. those people who have ancestral family roots somewhere in ireland now are those adults who generally are disproportionally snollygosters,1,english +tum kaisi aurat ho..SRK ko hate karti ho?? Shame on u..,0,hinglish +reply get a fucking job dude most all these i upped before you little trolls starting bitching about pointless rationale i barely edit shit any more because of your faggots so block me and make your point do you not realize this is the most pointless shit in human history you cannot have album covers on here unless you type oh this is fair use because blah blah blah go asphyxiate on a cock,1,english +both are one of the worst page vandals i haven ever witnessed your repeated vandalism of a seminar on how lazy and pathetically insecure lot they are,1,english +undoing tag please do not undo the tags that i put on the page i put them there for a legitimate reason thank you,0,english +are you delusional islam is one of the most violent and barbaric,1,english +retweet column in questions emmasulkowicz coverage in view of my piece,1,english +मुझे आश्चर्य नहीं है की यह विचार बकवास था आखिरकार यह एक महिला से आया था,1,hindi +so glad i am not bigger is enough for me i get called lanky enough as it is,0,english +or koja version debian,1,english +हमेशा लोवेर कास्ट के लोग ही होते हैं जो मुख फैसले लेते हैं,1,hindi +thanks have a nice day god bless you comments and suggestions are always welcomed and appreciated,0,english +hey three words prince x persia lips with tears of joy face with tears of joy cheeks with tears of pride face in tears of joy hair in tears of joy face with tears of joy trump trumpisamoron trumpisadisgrace trumpisafraud gop resist resistance trumpisaninternationaldisgrace trumpisatraitor kick off,1,english +अंग्रेज़ों को कैंसर कहना बहुत ही भयानक काम है।,0,hindi +मई हिन्दुओं से बेहद घृणा करता हूँ,0,hindi +hi sd i have briefly looked at the evidence and it certainly looks plausible could i ask you to file a spi report thanks,0,english +i find it absolutely hilarious that my jewish friend knows how to juggle how sick is that haha,0,english +categories circadian rhythm hypnotics i question the validity of this classification a chronobiotic is not the same as a hypnotic for delayed sleep phase for instance melatonin can act as a mild hypnotic taken hour before bedtime or it can be used as a chronobiotic hours before bedtime its use as a hypnotic is irrelevant to this article,0,english +you so you delete my right to comment about you well it s not the first time is it reading through other comments it seems there is no end to your appalling lack of scruples how dare you,1,english +प्रदेश में पुलिस से बेखौफ होकर वारदातों को अंजाम दे रहे हैं बदमाश फिर बदमाशों ने डबल मर्डर की वारदात को दिया अंजाम युवक की गोली मारकर हत्या हत्या करने वाले बदमाश को पुलिस की मौजूदगी में ग्रामीणों ने मारा,1,hindi +एक नौटंकी वाली को ये सोभा नहीं दे रहा है कमीनी पूजा करते हुए भी प्रचार,1,hindi +his black coloured people are totally insignificant,1,english +Jamoriat londi hai Nawaz League.. Roz rape hota!!,0,hinglish +false accusation just ask for your information yes i did not edit myself the belushi or any other such article on wikipedia neither as logged in nor anonymously released after you have threatened against me i may understand which you assume everybody is as honorless as yourself george but sorry i am not both of us knows who vandalized that article but you used your unique power to intimidate me so i am not in this place anymore if it let us people like you do whatever you can,1,english +are you online or what why do you rv scandinavia in including finland comanche cf,0,english +jo desh ka hi rape kiya wo desh ki aatma ki bat karta hai kaun isko likh kar de diya ye lagta hai pk ka likha hua hai,0,hinglish +चर्चा इसलिए कर रहे हैं आरएसएस वाले बीजेपी वाले अपने बिटिया के रिश्ता चाइनीस सैनिक के साथ करने के लिए चर्चा कर रहे हैं सावधान रहिए बेटी के रिश्ते यह जुड़ेंगे आपको गद्दार और चाइनीस एजेंट भी बता देंगे,1,hindi +देश में युवाओं के लिए सबसे बड़ी चिंता रोजगार है और सरकार इधर उधर की बात करके लोगो का ध्यान भटकाना चाहती है।,1,hindi +that seemed an absolutely disgusting person being mr,1,english +इन समलैंगिक लोगो की तरह कोई और गन्दा नहीं है,1,hindi +हॉकी के जादूगर पद्म भूषण मेजर ध्यानचंद जी की गौरवपूर्ण स्मृति को समर्पित राष्ट्रीय खेल दिवस के अवसर पर खेल की विभिन्न विधाओं में वैश्विक मंचों पर भारत की गरिमा वृद्धि करने वाले सभी खिलाड़ियों के प्रति सादर कृतज्ञता ज्ञापन। नवोदित खिलाड़ियों को उज्ज्वल भविष्य की शुभकामनाएं।,1,hindi +कश्मीरी बायी हे आपकी तो कश्मीर मई पाकिस्तान का जांदा क्यू उताटी हे,0,hindi +Yahan sab AB fan hai..isliye SRK ko hate krte..aur SRK ko hate krte isliye Aamir Salman ko like krte,0,hinglish +muslim convert it has been widely publicized that since jackson converted to islam common google searches such as there are more i really think someone it should address it to the section but i can regretfully say i cannot exactly phrase it right without sounding too gossipy music is not really my area of expertise so i thought whatever could discuss it here talk contributions,0,english +but why do various disabled people normally receive a special treatment,1,english +yay i like when jacob has colored layouts,0,english +bhai filmi duniya me hi raho..why u hate modi so much..,0,hinglish +मैं डॉक्टर कफील खान के रिहाई की मांग करता हूँ,1,hindi +utc also a personal state that like autism is most likely going to be diagnosed as autism or an autism spectrum disorder such as hf or as,0,english +rfa questions in reference to your questions why i asked them be best answered here basically i am testing the candidate s understanding and interpretation of policy i used to ask them of every rfa but since i have had to cut back my participation i have taken the personal policy of only asking them of newly posted rfa that do not appear to be a snowball accept and ones where only the generic questions have been answered talk cont ribs,0,english +had they never been on meds know any modern family friend who wasn t i rest good case then,1,english +whatever experiences are these in an ideal era where everyone there has come around to understand what lies the real islam is all about,1,english +निचली जात के लोग हमारे ऊपर परजीवी हैं,1,hindi +मई निचली जात के लोगों से बेहद गर्हिना कतरा हूँ,1,hindi +मुझे महिलाओं से न फ र त है,1,hindi +i have no religion only one tin accommodate jews hindus christians buddhists taoist atheists but islam be too cancerous,1,english +it is indeed haha that is how you say archaeology good sir i had to self out because of that awesome cover and also some academic work being done involving tel kari for the most part they do have something of a language requirement in the us because when you have archaeology departments outside author departs they are typically rolled into or heavily associated with classics this has actually been the topic of conversation on several pub trips an essential element in archaeology thankfully it has never too late to dig though so age is not a factor in the actual process of digging tevet,0,english +बांग्लादेशियों को चिड़ियाघर में रहना चाहिए,1,hindi +@pankhuripathak mam humare yahaan gujarat ke naliya me in bjp valo ne rape kiya aur abhi tak pakde bhi nahi gaye,1,hinglish +from a traitor with government view us report from americansforimpeachment american campaign,1,english +सुन्नी वक्फ बोर्ड का फैसला नहीं बनेगा बाबरी मस्जिद अस्पताल और कम्युनिटी किचन बनाने का निर्णय,1,hindi +Terrorism Pakistan me hai or fikar puri duniya ko hai pata nahin inhe hamari fikar hai ya humse darte hai …,0,hinglish +ये कहना अमनबीक है की महिलाओंकैंसर है,1,hindi +Brahma apna beti (saraswati ) se rape kyu kiya . Ye kaun bataye re,0,hinglish +ये निचली जात के लोग सबसे खसूड होते हैं,1,hindi +विकास दुबे के साथ संबित पात्रा की तस्वीर,1,hindi +that social issues rarely challenged for justice as during his were other areas where there what a slut that daylight between him and conservatives on example in certain area of the administrative state of the epa,1,english +ninja who that but no seriously because this guy still is literally that retarded not every can like to get show off its,1,english +mere jism ka khoon ka akhiro qatra quraban ho rasool pe aur tumhara pura body ganga nadi pe hahaha,0,hinglish +मुझे ये समझ नहीं आता की तुम महिलाओं को क्यों पसंद करते हो उनके बारे में सुनते ही मुझे घृणा होने लगती है,1,hindi +आप नेग देते और कोई और होता तो सेक देता वो भी गरम गरम तवे पे। कमीना,1,hindi +listen to me you butt fucking sandra whatever already know you are going to lie and try to convince people you are just human whatever know that you are not human whatever know that you are a fucking rapist pig and a murderer if your imaginary friend tells you to do it you are the least intelligent most violent type of person out there next to the blacks just shut the fuck up and give up on convincing people otherwise,1,english +what are you talking about i actually gave him compliments if it sounded mean sorry but i what a slut actually trying to be nice and why would i want to harass anyone on wikipedia anyway this whole situation is really dumb and alan is the one who made a big deal out of everything i cannot believe he got offended by potpie head but whatever i will save my breath because clearly i seem like the bad person here hm,1,english +i hate the smell off it when,1,english +nece especially liked prestate pri je take hr krita v settlement za poopile of national security police,1,english +obviously you re a huge fucking idiot and want you to to,1,english +thanks a separate sentence is an excellent idea but whatever will need reliable sources for it rather then tag bomb the sentence i will do it here typically in education everybody knows students are included in everybody but they do not know the other kind of numbers natural numbers counting numbers natural numbers with or without zero why what a slut the term counting numbers introduced circa per merriam webster com at what educational level is the term counting numbers replaced with another term sourcing ideas include books on pre algebra and mathematics curriculum standards,0,english +pregnant women should be stay fresh at house until they reelect to a normal condition otherwise they just step in with everybody is lives,1,english +pardon me but i am still waiting for the rationale for removing the link the pac is clearly engaged in organizing the u s government to be the world s military power with the goal of promoting global this includes enhanced police powers for the federal government and is a critical component of establishing a fascist state at home the pac is part of a larger picture and does not represent the entire breadth of the movement toward fascism in the united states but it is a critical component of establishing a militaristic nationalistic imperialist regime in the u s,0,english +लद्दाख और लक्षद्वीप को वन नेशन वन राशन कार्ड के मौजूदा राष्ट्रीय पोर्टेबिलिटी समूह में शामिल किया गया राज्यों केंद्र शासित प्रदेशों में प्रवासी पीडीएस लाभार्थी अब अपनी पसंद के किसी भी उचित मूल्य की दुकान से सब्सिडी वाले अनाज ले सकते हैं विवरण,1,hindi +मई यह जानने के लिए काफी निचली जात के लोगों के पास रहा हूँ जिनसे पता की वे पूरे गधे हैं,1,hindi +virile the sock puppetry i assume this is regarding the vandalism of pigsonthewing s page what a slut not in fact sock puppetry it what a slut a neighbor and supposed friend misusing my internet connection as explained,0,english +Pagal Tumhari ek bhn ki izzat luti thi ram raheem NE jise rape case main sja hue h aur Tum uske against the haryana main yd aya doob k Mr ja,0,hinglish +every week your group feels more retarded it lies facts,1,english +सुमित नागल यूएस ओपन के दूसरे दौर में पहुंचे भारत का साल का इंतज़ार ख़त्म,1,hindi +new i award well done style solid gray background color row align row style size x large padding vertical align middle height the iamthecoinman you are really fucking annoying again and you are good at anti vandalism barn rock star style align middle border top solid gray i award you the iamthecoinman you are really annoying and you definitely are good at anti serious vandalism barn star for your multiple prompt this reverts it to my joke protecting the wiki is not important and not an unimportant task under occupation that is protecting other wikipedia your efforts are much not appreciated i hope someone cuts of your hands,1,english +redirect talk list of television stations in veracruz,0,english +Dara Sacha sauda #rapist gurmeet ka rape center Tha janha #HoneyPreet ladkiyo ko trap Kar gufa me bhejti thi,0,hinglish +Kashmir main tum log jo kar rahe ho wo terrorism ni hai jahil insan,0,hinglish +i dare caution you all to try not posting the something and getting it yourself banned then you will know how amazing it feels,1,english +paida hoga aur rape karega tab hum maar dalenge usko ab kya,0,hinglish +unfortunately the report personify riddled with errors it fabricates connection between influencers that just fare not exist and categorizes liberals as far right if they still openly debate conservative,1,english +मई यह जानने के लिए काफी हिन्दुओं के पास रहा हूँ जिनसे पता की वे पूरे गधे हैं,1,hindi +अगर कोई लड़का आपके नज़र में कुत्ता कमीना चूतिया बददिमाग आवारा बेशर्म अनपढ़ जाहिल गवार है तो उसे प्यार से देखो यार दरअसल वो लड़का भूतकाल का बहुत मासूम लड़का होता है जिसका कोई हसीना चुटिया काट काट कर उसकी मासूमियत छीन लेती है जिस कारण वो वर्तमान काल मे अभद्र बन जाता है,1,hindi +काश मैं किसी हिन्दू को डेट कर पाती,0,hindi +Kat ke badh Anu hogi tere hate list main …,0,hinglish +उन प्रकार के हिजड़ों को निष्पादित किया जाना चाहिए,1,hindi +phir bi akal nahi aya kashmiriyo ko..pakistani sena POK ki ladkiyo ka rape kar raha phir bi pakistan jana hai.,0,hinglish +ने के साथ अपना एक वीडियो शेयर किया है।,1,hindi +राजधानी पटना में दिनदहाड़े पेट्रोल पंपकर्मी से लाख की लूट विरोध करने पर अपराधियों ने पीटकर किया घायल की रिपोर्ट,1,hindi +आप कैसे कह सकते हैं कि महिलाओं घृणित हैं क्या आप ये नहीं जानते कि यह कहना घृणित है,0,hindi +ये साले गरीब लोग भी बड़े ढीठ है मतलब की इतने सालों से देश के बड़ेबड़े व्यक्ति लगे है अमीर लोग इतना दान दे रहे है बड़ेबड़े नेता दिल्ली से गरीबी उन्मूलन का प्रयास कर रहे है लेकिन नही इनकी गरीबी है की खत्म होने का नाम नही ले रही है।,1,hindi +Devdasi bana kar mandir me rape kiya hai,0,hinglish +all devices are of benefit to,1,english +साहब कश्मीरी मुसलमानों पर ज़ुल्म बंद कीजिए,0,hindi +किसी ने पूछा अगर पाकिस्तान नही होता तो क्या हम देशभक्त होते मासूम जवाब अगर हम देशभक्त होते तो आज ये पाकिस्तान नही होता।,0,hindi +येमुसलमान हमारे देश के लिए कूड़ेकर्काटके सामान हैं,1,hindi +Jis chutiye ka bhai hi rape ka criminal case khel rha hai..Wo kvi v against hi rahega.,0,hinglish +i mean i would engage with you anyway you did not purposefully try to be an ass telling me i am engendering and shit but as you seem towards be a famous male to female trip on this board my skeleton is also very much developed for female norms i am even considered small framed and i am getting muscle back soon according to that fact hands are small feet are normal like i have issues with my body but not one from them is due to being assigned pads at birth but you can,1,english +समलैंगिक सिर्फ एक और प्रकार की गंदगीहै,1,hindi +will thank him social media,1,english +पाकिस्तानियों से बुर कुछ नहीं है,1,hindi +joke not laughing booker is lying for effect to make it look sound as if he is risking his job when in fact doj gave him clearance the night before democratsaredangerous buildthatwall,1,english +किसी भी शक्ति वाले दलित से हमारी सबयता को खतरा हैं,1,hindi +Jiska khoon ek movie free mein dekhne ke liye ufaan maare wo Rajput,0,hinglish +मैं नहीं मानता की समलैंगिक लोगो का दिमाग काम होता है,1,hindi +he does not know how to swim and this is and then embarrassing and he is in his what be he a retard,1,english +सभी देशवासियों को शिक्षक दिवस की हार्दिक शुभकामनाएं।,1,hindi +Ye aik bura kaam hay Isko musalmano ka naam mat do.Jaisay jab beti bana kar baba ram aur bhakt bana kar asaram rape kartay hay.,0,hinglish +thanks for letting me know would you mind that address your response to the one that i posted on the vandal proof forum i do not want the programmer chasing a problem that has nothing to do with the program,0,english +पुस्तकालय में काफी महिलाऐं पढ़ने आती हैं,1,hindi +it would only be news to you if it were reversed whatever get it now and get it with your every post you are a liberal puke that champions every liberal cause got it glen,1,english +मैं उन हिजड़ों को पीड़ित करने जा रहा हूँ,0,hindi +माँ भारती की सेवा में निरंतर रत आदरणीय गृह मंत्री श्री जी के कोविड संक्रमण के उपरांत स्वस्थ होने पर शुभकामनाएं। आपकी जिजीविषा एवं जीवटता के सम्मुख कोरोना संक्रमण का पराजित होना सुनिश्चित था। आप स्वस्थ रहें सानन्द रहें यही कामना है। जीवेम शरद शतम्,1,hindi +oh delight my sole argument with him what a slut on the content control board where if you would note i agreed with what he what a slut saying just not the manner in which he what a slut saying it he is the one who is being abusive towards others including me is the one who is taking opportunities to make this a battleground not me more to the point i what a slut respond to you saying that is just how mallets that is bullshit and you know it he is causing the problem and yet i cost punitively blocked you have really got a strange sense of humor i simply will not stand for hoi polloi making allegations about mean that is something wikipedia needs more of not less other people come by and read things they never look into the history and allowing bullshit such as mallets commonly spouts to stand means that helium have to dictate world,1,english +language s what languages does she sing in what language is the song gradable in anyone knows,0,english +मई तुम जैसे महिलाओं को नहीं सह सकता,0,hindi +Tu pahle tum jo ghar me rape karte ho uska rate bata,0,hinglish +i really never posted edit here on wikipedia what the bloody f ck thing are you doing you s e n of m b ch of b star,1,english +Is desh ka jisne bhi bala karne ki Sochi usi ke piche pad hate hai.,0,hinglish +why fare you remove melodic artist discography not images though most musical artists cd dvd images are permitted wherefore are b z shibuya album covers removed information technology means times japan see it means time japan discography play see play discography and dir en gray see dir en gray discography etc album covers are not removed why are they no problems hump you,1,english +aik insaan 4 shadiyaan ke hain ab yeah kisse kay rape karnay apna gussa share nahin kersakta hai kiyoon usnay khud 4 shaadiyan ke hain .,0,hinglish +well you just lost all credibility when you said you as a student of stanford university now i were just a troll nobody cares what you see or say you are being insulted every time someone post one of these regular comments enjoy while it..,1,english +Haa tumhe toh bakriyo ka aur murgiyo ka rape sikhaya jata hai isiliye tumhare yahan sirf bakriyo ke hi hospital hai baaki sab toh bimar Paki India se bhik mangte hai visa ke liye taaki apna ilaaz yaha aakar kara sake. Ye le tere liye gifts aur inka rape karle.,1,hinglish +please million dollars each song to tax united mexican states per undocumented migrant to devote for trump s wall,1,english +Allahabad hate h to tapas kar diya jata h koyi na koyi kami nikal kar,0,hinglish +who the hell do you think you are you think you can just swan into the bryant press article and go restore some unsubstantiated political nonsense which has no citations honestly do something productive interfere with your life wikipedia spreads new unsubstantiated lies and people like you are the problem wikipedia which is used by the public without them realizing the kind of idiot imbeciles over who edit to it you are not a fit or proper person sir,1,english +are fighting back or with you now let us buildthatwall of deportthemall and we ask to a democrat why would they even support illegals and you will not always mention americans killed dead by illegals every chance whatever it get,1,english +आपको जेल में वेजना चाहिए मुझे आज एक पाकिस्तानी का बलात्कार करना होगा जैसी धमकियों देने के लिए,1,hindi +तेल कीमतों में वृद्धि के खिलाफ अब आम जनता का फूटा गुस्सा। अभी तो बहुत कुछ देखना बाकी है मेरे दोस्तो। शेयर करें और मोदी तक पहूँचा दीजिये,1,hindi +कौन कहता हैं दलित आगे नहीं बढ़ सकते,0,hindi +i go to see a quaker and her babe who is a sapphic what a slut there too she what a slut very belligerent what could live conducted in ordering to solve this small issue is some zyklon b,1,english +germanys royal shower pushes eu migrant take step back deal negotiations with italy greece uk britain should be discussing sending our asylum seekers way back to where they first entered the eu,1,english +प्रयागराज अतीक के खिलाफ दर्ज मुकदमों की केस डायरी थाने से गायब मचा हड़कंप,1,hindi +the map what a slut used by the us government at the potsdam conference i don t think the us government has any interest in falsification of true population numbers jews those who survived were grouped together with germans in and that s what a slut important for the us government see michael wreck the map is the basis for the expected number of expellees and is absolutely right for lower silesia,0,english +वसे मुझे लगता है की हमें इन सभी हिजड़ों को बस लटका देना चाहिए,1,hindi +देखो हिन्दुत्व का असली चेहरा हिन्दुत्व पुलिस ने शांतिपूर्ण प्रदर्शनकारियों पर हमला किया। एक व्यक्ति पुलिस हिंसा से बेहोश हो गया था और हिंदुत्व पुलिस अभी भी बेहोश व्यक्ति की पिटाई कर रही है।,1,hindi +apne personal hatred k liye srk ka nam badnam kr rhe hai chutiye..bhakts ko support kaise kr sakta hai koi loll,0,hinglish +the disabled should capture no aid,1,english +i am sick and fucking tired of seeing this jerk to face an asshole what a slut a pile of shit who masterminded the murder of innocent people for this cocksucking anti american motherfucker to have an execution is insulting to every man of if i could exhume jose alta s body and revive he back to life i would remember i would waterboard him for days on end,1,english +Ise aaj rape ki bahut fikr ho rhi h.. Uss time kha tha jb kashmiri pandito ko bhagay jaa rha tha aur aurto k saath rape ho rha,1,hinglish +सभी अंग्रेज़ों को मार डालो जैसी आपकी बातें सही नहीं लगती,0,hindi +i can now see your comment i do not know why it what a slut not showing must have been a cache issue i agree that the adultery issue should probably be left out but you should have made the point you are making here when you kept ripping it out of the article earlier also many of the things that are listed as facts about her life have been in her article for a very long time now based simply on self published sources such as campaign literature her senate office etc,0,english +मेरे विचार में उन प्रकार के बांग्लादेशियों को निष्पादित किया जाना चाहिए,1,hindi +"Ye to ek dukhad ghatna hai sirjee. Hatya to aapke raaj me hui this, rape, extortion, scam, aur na Jane kya kya ? Bhul gaye kya ?",0,hinglish +agk busy there is a possibility i might be unavailable tomorrow well technically todayi m editing late if so i will respond to any outstanding messages or matters that require my attention on evening or on thanks,0,english +लगभग सभी राज्यों के मुख्यमंत्रियों एवं प्रशासनिक स्तर के उच्चाधिकारियों से हुई बातचीत के आधार पर मैं सभी अभ्यर्थियों एवं उनके अभिभावकों को आश्वस्त करता हूं कि उन्हें यथासंभव प्रत्येक सहायता प्रदान की जाएगी। आप सभी के उज्ज्वल भविष्य के लिए मेरी अग्रिम शुभकामनाएं,1,hindi +मुझे बांग्लादेशियों से न फ र त है,1,hindi +yet all blacks should probably be shot,1,english +urgh girls be so ho hum,1,english +great bye you bitches waving my mr,1,english +Inka bas chale to Sweden aur Canada ko bhi terrorism sponsors karar dede.,0,hinglish +this discussion what a slut dead from more than half of month when i archived it i really want to see heat stigma and sure in article but i cannot address them again effectively because of threat of edit war triggering mentioned above by me which is manifested by reverts made by other editors after reading these letters by me,0,english +iasi s people can participate the future discussion at romania s profile page instead of say your fucked arguments,1,english +"Kuyki suna h,, isse mind ka khoon mind tak nhi pahunch pata..",0,hinglish +एक समय में पाकिस्तानी जाप करते थे माधुरी दे दो पीओके भी ले लो। नई महत्वाकांक्षाएं नई कुंठाएं।,1,hindi +but as for them adopting kids the resolution is no,1,english +●kabhi bhi rape hua to rapist ke virudhh andolan kiya ?,0,hinglish +your wretched pimple faced little adolescent moron have you not canvass sarcasm even so let me guess you are a mathematical product of homeschooling right hand,1,english +just watched your video good stuff thought i would let you in on the new boss boon says old character but will be surprise it is argus,0,english +"But maine suffer kar RHA hoon,19yr ka ladka jo document main bhi 19yr police ki najar main adult hai hi nhi wah..wah re up police aaj bhi Desh jhut aur paise pe jivit hai na ki such pe.i hate BJP also up police . …",1,hinglish +imagine being such a kick that you allow black guy rope to determine what you can and cannot enjoy,1,english +you fuck ass,0,english +doing that will release that inordinate amount of skill,1,english +अनुराग कश्यप अब कह रहा है कि मैंने पायल घोष का यौन शोषण नहीं किया तो अनुराग कश्यप तूं तो यही साबित कर दे कि तूने पायल घोष से राखी बंधाई थी ।साला बहुत बक बक करता था ।इसी को कहते हैं कि छाज बोले तो बोले छलनी भी बोले जिसमे हजारों सुराख़ हो ।,1,hindi +splitting the article what do other editors think about dividing this article into two separate articles alice cooper the man himself his solo career briefly dealing with his time with the original band the alice cooper band just focusing on the band it is beginning to look like a logical choice,0,english +the us have a different definition of this place has under inhabitants,0,english +ak how can you fight antifa when one of the major figureheads what a slut and likely still is an,0,english +retweet no offense to anyone but women are poor drivers nonsexist maybe sexist,1,english +really understand this i would tell you to go fuck yourself but you have your head shoved so far up your ass there is no room for your shriveled penis,1,english +aw alfredo you are so cute thank you so much for your kind words but please do not go and attack winged if it happens again i will go and i feel like it will happen again but here is to a glimmer of hope that it doesn t,0,english +haan unhi brahmino ke saath jisne inka rape kiyaa. Akhilesh hi bachayenge sab dalit ko,0,hinglish +"*Gasp* Hate speech Garon, Hate speech!",0,hinglish +retweet great remark from a lad in class i m non sexist as sexism is wrong and i be a man so i am ne'er wrong damn straight,1,english +i love another idea of becoming a single bisexual,1,english +fcw check the list at wpp mos the dependable root are thither as be the sources to avoid a punk,1,english +they have no sense of will or awareness or belief or gratitude except where i could say this all too,1,english +Abe tere Mami Ko suar ne rape Kiya tha kya jo tu peda hua or bol Raha hai .,0,hinglish +okay retweet those women are saying ok can in t tell like a real woman how long to dress oh no wait a tick http,1,english +as the queen of the hysterical women tweets bitterly terrified because of ever losing half her crown,1,english +थाली में अनाज नहीं तो बमबंदूक दिखाने लगा चीन जानिए क्यों पड़ गए खाने के लाले,1,hindi +ya Rajesh Khanna ka koyi murder thriller hai,0,hinglish +अगर मुझे आप समलैंगिक लोगो मुझे बीमार करती हैं जैसी कोई कमेंट दिखाई देती है तो मैं इसकी रिपोर्ट करूंगा।,0,hindi +हम इन बांग्लादेशियों के गले काट दे तो,1,hindi +उस कंपनी की प्रमुख एक हिन्दू हैं,0,hindi +To log ab 12 saal se kam ki rape Ni karenge . 12 saal se jyada ki karenge phasi se Bach jayenge. Agar rape ko rokna hi h to sbhi rapist ko phasi do . 12 saal se km aur jyada kya,0,hinglish +@ArvindKejriwal i am from punjab and we hate kejriwal. Mean my words. Samana aaye kejriwal jutta maarne mai aaunga..,1,hinglish +rachel couldn tell between a black man and a black as,1,english +utc i does not see any down paragraphs except the differentiates between the date and,0,english +wait until lost lost control am in dyke with.. her,1,english +bias whatever can clearly see by the editing of this article that it is entirely written in a non british and anti american perspective i wonder how much b p had to pay a few people from the uk to gloss over and spin the facts here not to mention it is written in british english instead of american english i think that a tag needs to be placed at the top of this article warning readers that it is imbalanced and bias towards a british perspective that way everybody will know not to take this article as factually accurate or credible,0,english +load this bitch up with cool aid,0,english +वसे मुझे लगता है की हमें इन सभी निचली जात के लोगों को बस लटका देना चाहिए,1,hindi +begginer love ilovepaint maya enjoy paint instar instalovea,0,english +behanchod apni anchor ko bhi nahi jaante :P pakistan to hai bura. terrorism fela raha hai :P or actor ko bheek de dete hai :D,0,hinglish +jxs thank you for experimenting with wikipedia your test worked and the page that you created has been or soon will be deleted please use the sandbox for any other tests you want to do take a look at the welcome page if you would like to learn more about contributing to our encyclopedia aeropagitica,0,english +one day mexicans will be outlawed and only proper whites will grow the food,1,english +when the british built the railroads in southern africa they had to import indians by the tens of thousands because they deemed southern africans as a not dependable to perform together the labor that what a slut required shocker after the railroads that we speak are now built the anglo british ended up having to deport most of the indians because so they started to get involved which in politics is a is gandi surprise you surprise,1,english +abhi tak koi call nahi aaya shame on you kab aaye ga srif paisa se matlab hai Aap logo ko i hate you dishtv,0,hinglish +think you can or that was because the faggot,1,english +प्रशांत भूषण पर उनके केबिन में हुए हमले का वीडियो सुप्रीम कोर्ट के वकील और एक्टिविस्ट प्रशांत भूषण पर हुए हमले,1,hindi +#Pakistan mein aurto ka rape nahin hota hain kya?,0,hinglish +केवल निचली जात के लोग ही इतने हिंसक हो सकते हैं,1,hindi +his kate hates free speech,1,english +i buy regularly but there are alternatives for all of,1,english +on new york city radio it what a slut bluntly stated that it is and the victims were from a rival gang it is whatever need ice whatever need police whatever need the wall buildthatwall potus is doing the right thing protecting americans votered,1,english +plot i changed this is a highly fictionalized account of thompson and attorney oscar zeta acosta s actual trip to las vegas around the same time period this be contract iced many times throughout the article in one instance under the pre production sub heading it says depp remembers saved it all not only is the book true but there is more and it what a slut worse later on under the sub heading reaction it says apparently it all came flood back to him he what a slut reliving the whole trip he what a slattern yelling out and jumping on his seat like it what a strumpet a rollercoaster submersion and diving shouting shit look out goddam bats that what a slut fantastic if he thought we would capture information technology then whatever must have done it although it is a far fetched story it is not highly fictionalized and regardless it cannot say it is if there are statements throughout the rest of the article from direct sources that are saying it is real,1,english +निचली जात के लोग हमारी सरकार का एहम हिस्सा हैं,1,hindi +the innocent person on to the left what a slut an innocent intern american child being murdered needlessly because the person walking on the right is an illegal alien who needlessly had murdered the innocent adult american child on board the left the building buildthatwall,1,english +at the link just below i still have recently been urging our muslim brothers and sisters in south east africa to run that message or install a related similar message on that site again every month because malaysians venezuelans muslim chinese let their white house broadcast their agendas,1,english +मैंने उसको गांड मरवाने को बोल दिया,0,hindi +why are many muslims in korea for the first place,1,english +just ask to do that i am sure he will make this change,0,english +you say that but did you leave it at that nah they china little bitch send me a private message lease maine know how much of a prat i was and that my opinion means nothing to him which is obviously true because of course when you are thus untouched by someone you have to send them angry message letting them know and all that what a slut before he mentioned that it would personify extremely childish of me to reveal all this in the forums oops,1,english +this is funny how samarkand try to talk in the language of civility this is funny how banned usernisarkand try to talk in the language of civility but haven t changed his traditional povs and ors,0,english +not even close to accurate are you deliberately obtuse,1,english +Aur jaha tak terrorism ki bat ha wo tum logon ne e shuru kia hua ha hamare mulk ma bhi.,0,hinglish +block i do not show a block on this ip what a slut there another internet protocol or a username you were referencing,0,english +कृपया जांच कर आवश्यक कार्यवाही करें।,0,hindi +तुम जैसे सब निचली जात के लोग निष्फल हो,1,hindi +मोदी जी कुछ नहीं करेंगे केवल भासन बाजी अब कह गया इंच का सीना,0,hindi +great serious question what say you you antifa working with within our elected government and paid for partly by taxpayers,1,english +urgh when women without children are not,1,english +he has right about one thing this article blows hard referencing nazi germany is hilarious given the person above s club esque control over this pos the lead story not well written at all the references which is never mentioned at all in the body you don't put things in the lead that show up nowhere else then to have the nerve to say the media has only focused on this social depression admittedly not something i think needs to be expanded on much better for about forty years hello the media has only focused on their previous perceptions of emotional as music for just these period because not you dare throw that year number out there when the media does not care about the first or so of those years and they have mangled it all up for a long time anyway it is their fault this is all screwed up which still is not demonstrated well enough in the crappy article,1,english +not by illiterate baby rapists like you and your prophet,1,english +आप किसी भी धर्म के बन सकते हो लेकिन हिन्दू नहीं बन सकते क्योंकि हिन्दू बना नहीं जाता हिन्दू पैदा होना पड़ता है,1,hindi +i would say you could come along but just live beside that shithole because,1,english +Teri aapi ka rape ho gaya,0,hinglish +understand what you know but hart vs winchester are really important in china so swear.. like you are.. utter embarrassment,1,english +this is your last warning if you continue to lie and call my legitimate edits vandalism then you will be banned from wikipedia,0,english +doug is our certified cutter looking in relevance why or why every war crimes tribunal doubtful is going off to look into afghanistan or iraq doug will not be so outspoken his book will be used as evidence against other murderer,1,english +get a fucking life mate or a job you are australian for crying out loud is there nothing you can help but stick in touch around on a post and edit you are wasting your time on this page the one reason why i get replying to you is that that is funny how you try to start something but you can t i don't care about money college education the least you can do to me that reply in big words do yourself my favor and be off,1,english +because they are cowards and the last few active party members are involved in the illegal immigration industry,1,english +दीदी की राजनीति की जिहादी प्रकृति अब हिंदू धर्म और संस्कृति को नष्ट करने पर तुली हुई है। देखें कि कैसे एक धार्मिक समूह ने पश्चिम बंगाल के मुर्शिदाबाद इलाके में एक मंदिर पर हमला किया और एक मंदिर को नष्ट कर दिया। शर्मनाक।,1,hindi +who are the only banisters from that could create wealth and finance with blood usury both sides of every conflict today between three millions of rabid muslim muslims rapefugees and castrated christians sweden rejects entry visas deports migrants and undocumented migrants f net via,1,english +"Bahot gande log hai yaar ye #PunishSharma and #BandagiKalra ,,disgusting",0,hinglish +this was the new race that thinks raping cure cures so,1,english +read them i say but mark my meaning will you continue to serve me if is your honor that the grass i never violated no policies you may leave me be,1,english +attention is publicizing an antifa target list comprised of trump supporters names some are high profile names and many are random everyday trump supporters twitter has not suspended his account check out his lists,1,english +sheikh abu is a violent piece of the crap this guy is one so violent man he even hits people with steel chairs triple jump consults people through tables he could even put someone through a big burning table which could kill them he what a slut taught by his uncle and now he is from bombay india also userdark hooded a smoker,1,english +islamic terrorism hi again sir niche i thought most of the views at the afd were for naming it islamist terrorism instead of islamic terrorism cheers wiki me up registered by all means godspeed nearly headless nick,0,english +ne'er hear that before,1,english +मुझे वास्तव में लगता है की समलैंगिक ही सबसे मूर्ख होते हैं,1,hindi +attention me all hindus i are the worst people over my planet,1,english +cannot outright deny claims that black babies are usually not as cute as white virgin ones,1,english +women are good at cleaning and bleeding,1,english +Ind me women rape ki ratio b zyada hai,0,hinglish +ढोंगी नागा साधू की पिटाई का पुराना वीडियो फिर हुआ वायरलबूम फ़ेक और वायरल न्यूज़ की फैक्ट चेकिंग ऑनलाइन न्यूज़ अपडेट,1,hindi +Corruption 75% Khatm,0,hinglish +Omg Aaj thoda jyada senti ho rahi Hun.. I hate you @filmfare,0,hinglish +why are ea reverting to the false headline why are ye reverting from the false side of the story who told you that surat what a slut a fuck the full story is biased and the version to gujarat police you do to exercise the right to use my post i know myself are a hindu terrorist,1,english +even an interview with what does we need congress will create any myth we are being invaded by a foreign country defending our nations is the job we us commander in chief use day of defeat funds please,1,english +मुझे लगता है की ज्यादातर निचली जात के लोगों का दिमाग का भोसड़ा हो रखा है,1,hindi +बाबरी मस्जिद मामले का सबसे बड़ा दल्ला साला ईमान बेंच दिया साला,0,hindi +मुसलमान सिर्फ एक और प्रकार की गंदगीहै,1,hindi +so that is a big double announcement for mr what does everyone think,0,english +Agar terrorism khatam karna chahte ho to Nawaz zardari Iltaf Asfandiyar ko khatam karna hoga pir mulk ka nizam teak ho jaega,0,hinglish +उस कंपनी की प्रमुख एक मुसलमान हैं,0,hindi +America Europe me movie achhi thi fr b wahan rape ho rhe …,0,hinglish +Bda chhuparustam nikla re rahul baba.. Ise kahte h deeye niche andhera ..desh ko dhoka.. Aankho me dhul jhonk rha thha.. Aaj pta chla ye saffron terror kyon kahta firta h. Dhokhebaj h aaul baba,0,hinglish +सुप्रीम कोर्ट का घेराव कर परिसंघ राष्ट्रीय अध्यक्ष डॉ उदित राज ने रचा इतिहास कोर्ट अमीरों का है आरक्षण विरोधी फैसले देने वाली सुप्रीम कोर्ट के खिलाफ पूरे देश में डॉ उदित राज के नेतृत्व में परिसंघ आवाज बुलन्द कर रहा है।,1,hindi +bullshit still boycotting nfl,0,english +@narendramodi sir aaye din hamare desh mai jo gang rape hota hai ladkiyo ke sath usko insaaf dilane ke liye aap kaunsa law banayenge??,0,hinglish +yes if only antifa would not leave the five poor nazis alone that is a statement spoken for the ages still grimacing my face,1,english +जब भी कानों में आवाज आने लगे संविधान और लोकतंत्र खतरे में है समझ लेना चौकीदार ने एक नया चोर पकड़ लिया जिस कारण कुत्ते भौंक रहे हैं,1,hindi +निचली जात के लोगों को मदरचोर कहना ठीक नहीं है।,1,hindi +"2/ Muslim invaders ne tumhari Daadio, nanio ko rape kiya",1,hinglish +आपस में भिड़े बीजेपी प्रवक्ता और कांग्रेस प्रवक्ता देखिए,1,hindi +homosexual people are the veridical threat to society,1,english +i love the arrogance of cinchona,1,english +महारानी के त्याग को बारम्बार नमन बड़ौदा की महारानी राधिका राजे गायकवाड़ हैं जिन्हें फोर्ब्स मैगज़ीन ने भारतीय राज्य वंश की सबसे खूबसूरत महिला घोषित किया है। लक्ष्मी विला पैलेस बड़ौदा एकड़ और बकिं,1,hindi +kyonkti tu woh bola raha hai jo hai nahi. Muslims terrorism worldwide hai aur tu thop raha hai dusaron par,0,hinglish +have sex off you paki cunt,1,english +इस कुत्ते की सदस्यता भंग की जाए ये अपराधी है इसका पुराना रिकॉर्ड खंगाल जाए तो जेल है इस हरामी की जगह दिल्ली दंगो का साजिशकर्ता है क्यो न अमित शाह इसकी जॉच कराते वाह रेे नीले कोट वाले का संविधान अब बदलने का वक़्त आ गया है इस संविधान का,1,hindi +muahaha,0,english +cleansing actions in pljevlja canine and focal bucolic did not take part in these actions he what a slut then in like preparing for offensive against bihar republic,0,english +ज्यादातर हिन्दुओं का दिमाग चुदा हुआ होता है,1,hindi +and being a female you are acting so cruel which is surprising,1,english +यह भ्रष्ट केजरीवाल के इतनी हिम्मत बढ़ गई इसका मतलब बीजेपी से समलैंगिक संबंध केजरीवाल की,1,hindi +मुल्लो मादरचोदो गांड जालप बेथे बेथे यही काम रह गया ह,0,hindi +loot lo mujhe ..itnii behen hai..or ye nhi ki koi bhabi bhi lekr aaye..i hate u all my dear behenoo,0,hinglish +ठरकी साला चल अब फ़िल्म बना इस पर,0,hindi +तुम जैसे दलितों को शिकायत करना बंद कर देना चाहिए तुम कष्ट के पात्र हो,1,hindi +do not worry much about having it and go but make me a sandwich and woman women sometimes suck,1,english +केंद्रीय स्वास्थ्य मंत्रालय ने साफ किया है कि अकेले कार चला रहे लोगों के मास्क पहनने को लेकर उसने कोई गाइडलाइन जारी नहीं की है केंद्रीय स्वास्थ्य सचिव राजेश भूषण ने कहा कि ग्रुप में साइकिलिंग और जॉगिंग करते समय मास्क पहनना महत्वपूर्ण है,1,hindi +it s a wild world keep your dirty fingers off of my human rights,0,english +Or madam us time kaha the job tmlogo ne Kashmiri pandit ko mar rhe the aur thousands Kashmiri pandit mahilao ka tere logo rape Kiya tha ..,0,hinglish +go back just let him respond it s lost love page not really all about so go outside into it and enjoy life rather than wasting it away getting a message on someone is talk page your such miserable loser,1,english +इकबाल सिंह गोला फेंक के एथलीट थे और उन्होंने में कुवैत में एशियाई एथलेटिक्स चैंपियनशिप में कांस्य पदक जीता था,1,hindi +मै पाकिस्तानियों की निं दा करता हूँ,0,hindi +i never met a single nice zionist,1,english +it is awful that i do not feel safe as a muslim woman,0,english +icc should never mess with dhoti because dhonikesaathdesh dhonigloves dhonikeepbalidaanbadgeglove dhonikeepstheglove,0,english +we are thus told over turned over that vote rid laws are improving stillwater as liberal democrats need to properly makeup such reality,1,english +all black woman do represent bitch,1,english +those ozzie cockroaches should non embody let in this country,1,english +मेरी तबीयत में भी अब थोड़ा सुधार है। आप लोग ऐसे ही अपना प्यार देते रहिए।,1,hindi +मैं एक निचली जात के व्यक्ति की जान बचाने के लिए कभी उंगली नहीं उठाऊंगा,1,hindi +Karachi k baad Lahore mei bhi Rangers operation hona chahyay.,0,hinglish +removal of content hi please do not remove content without an edit summary thanks,0,english +yeah information technology s maine you re telling me not to spell nauseous stuff but you live gotten out of use yourself rofl hypocrite practice what you preach,1,english +आप जैसे अँगरेज़ भव्य होते हैं,0,hindi +I hate manu manveer. .I live in vashi..fir bhi nhi gyi inorbit..in bandaro ko dekhne,1,hinglish +you are both morons david levy you are the only person with a problem with the move so i am not sure what consensus you are referring to scorpion relatively popularity is meaningless they both have the same name ergo there should be a disambiguation page since neither of you seems to have a clue i am not going to waste my time here anymore good luck with your fan page idiot and good luck with your fascism levy,1,english +complete monopoly of professional russian shitheads at the crimea article please fuck off back to retweet,1,english +murdrer bhai kiska khoon kiya modi ne jra btao,0,hinglish +बीजेपी वालो ने उसको गिरफ्तार करवाया था। कोई कांग्रेस वालो ने उसको गिरफ्तार नहीं करवाया था।। बीजेपी ने प्रोफेसर कर दिया कि कोई भी गलत होगा उसको छोरा नहीं जाएगा। एक तो अच्छा काम करो ऊपर कहो इल्जाम लगते हो झेल वालो। वाह भाई वो साला सऊदी जा कर जिहादी महज़ब इस्लाम अपना लिया। ये भे बताओ ना,0,hindi +तुम मेरे लिए एक चमार जैसे हो,0,hindi +whether it is probably a combination of the sexual sexual tastes used of homosexuals toward the adolescent in general the agency and the strong racial agenda ideas of liberals.. in particular the police agency,1,english +Rape aur gundagardi par bhi report de do bhai kyonki Abhi bijliwala bans ho kal DJP ban jao,0,hinglish +the points they raise ought to be brought up far more often on sf,0,english +whilst this is typical wikipedia who usually gives them a set,1,english +1706 AV 1706 AV modinagar bachchi ke sath rape: via @YouTube,0,hinglish +reply removal of templates unity would cost most grateful if you would rot in hellhole,1,english +समलैंगिक लोगो के प्रति आपकी अवमानना को अभी बंद करना होगा।,1,hindi +was congress recently taken indian style of life new in its shameful name this congress has produced irresponsible leaders who hardly support the democratic institutions,1,english +@iamkamyapunjabi koi itna cheap kse hosakta hai shuruwat b khud kary or jab jawab aye to mu chupakar maa ka word ka satiyanas krdy hate bani,0,hinglish +हम तुम पाकिस्तानियों पर तब तक हमला करते रहेंगे जब तक तुम यहां से चले नहीं जाते,1,hindi +hey man i what a slut just playing no worries i will not do it again i mean you could take a joke or you could just be a stupid asshole but hey whatever i would like point out that nothing that i said what a slut either anti semitic or evil i have multiple friends that are jews and i am sure that most of them would have thought that it what a slut funny in any event carry on you crazy russian prick,1,english +शिक्षक दिवस के अवसर पर मैं देश के सभी शिक्षकों का अभिनंदन करते हुए उन्हें अपनी शुभकामनाएँ देता हूँ।साथ ही भारत के पूर्व राष्ट्रपति डा सर्वपल्ली राधाकृष्णन को उनकी जयंती के दिन स्मरण करते हुए नमन करता हूँ।,1,hindi +but not be advised to adopt,1,english +केवल समलैंगिक ही इतने बेवकफ हो सकते हैं,0,hindi +इस देश में बहुत सारे जिहादी हैं,1,hindi +मैं आपको और आप जैसे सभी बांग्लादेशियों को अपना दोस्त बनाना चाहूंगा,1,hindi +are ek paigamabar 9 sal ki aysha ka rape kiyaa the use aaj hota to to tihard me hota,0,hinglish +फांसी ही मुसलमानों के लिए एकमात्र समाधान है,1,hindi +मेरा मानना है कि आप चुनाव ना लड़े डॉक्टर कन्हैया कुमार को मौक़ा दे लोकसभा में जाने के लिए आपके लिए अच्छा होगा आपके भविष्य के लिए भी आप तो राज्य सभा भी जा सकते है मुसलमान होने के नाते आपको सोचना पड़ेगा,1,hindi +look who is talking.pak main india se jyada rape hote hai miya,1,hinglish +hey can you have look at it does not show how it should thank you,0,english +gun control bullet control california tries new tack on gun violence bullet control via,0,english +Ma vasno Devi ke mandir Jane se sare paap Kat hate h aur man ko saanti multi h JAI MATA DI D.KUMAR.P,0,hinglish +क्या इससे यह स्पष्ट नहीं होता है की पाकिस्तानी कचरा हैं,1,hindi +Bas Piyar Sey Keh Dena Yaar Prince Teri Ab Zarorat Nahi Rahi..,0,hinglish +Nahi Riya ji but agar matter pakistan hota hai to apne aap khoon khoul jata hai bahut Se dard hai saltation Se le kar ab tak,0,hinglish +you need to get burned down again,1,english +women usually are complicit partners in their own sexual oppression,1,english +retweet once turkey seen that iran is becoming most influenced power in mideast now want to jump into mosul liberation operation in,0,english +have still trying out use using alt right tag as special blanket statement on you that are in no where are you associated with alt right brand reminder the connections exist because of the increased violence yet anarchy has many accounts on twitter,1,english +you will hate for what one see day fuck you,1,english +if you wish to readdress the balance so to speak please do so with the kind of sympathetic handling as befits a webpage being seen by all that is all i request thank you,0,english +utc insults in blp n not just ani just when i thought the big insults were in want discussions i see the text what a slut stated in pulp n now archived within biographies of living persons noticeboard archive discussion regarding categorization of living people search within that archive for as a term used to discuss the of living there is just so much hostility that i wish editors could be given a forced day time out from editing some talk pages or articles let them focus on something else with less hostility,0,english +not once did the left ask for gun control after scale what a slut shot not once voteredtosaveamerica,1,english +राष्ट्रीय स्वच्छ वायु योजना के लिए शहरों को मदद दी गई स्वच्छ हवा के लिए उद्योगों के मानकों को हम ऊपर लेकर गए राज्यों को अब इसमें आकर वन विभाग के बजट को बढ़ाना होगा प्रकाश जावडेकर,1,hindi +oh my goodd aiaiaiai celine dion aiaiai,0,english +deletion of files thank you for fixing my mistake i did not realize the template will change if page has been deleted before however additional deletion review might be needed although i am all for the deletion according to the deletion log previous time it what a slut about different files this time it is about software while last time it what a slut just test vandalism,0,english +retweet you wonder why i call you bitch you wonder why i call you bitch,0,english +in short no reason to watch female sports anymore if women are clothed decently got it,1,english +retweet if your about myminecraftrobot season,0,english +chinese men have funny names,1,english +अगर ये किसी अँगरेज़ के दिमाग से आया है फिर तो टट्टी ही होगा,1,hindi +मुझे तुम जैसे अंग्रेज़ों से नरफत है,1,hindi +Famous hone ke liye kitna khoon bahana padta he tum kya jano..wo bhi periods wala …,0,hinglish +redirect talk empress what does up median film,0,english +loudly crying faceloudly crying faceloudly crying faceloudly crying face how you know i am talking about you bitch laughing my fucking ass off,0,english +do on fag boy block me,1,english +there is so much i love about the united kingdom for example our rich history and our fantastic royal family whatever have stunning coastlines and a picturesque countryside however there are too many trans people here,1,english +स्वाधीनता संग्राम की महागाथा के विशिष्ट नायक अपने जीवन का प्रत्येक क्षण देशहित में अर्पित करने वाले महान क्रांतिकारी अमर शहीद खुदीराम बोस जी को उनकी पुण्यतिथि पर कोटिशः नमन आपका जीवन व्यक्तित्वकृतित्व समस्त भारतीयों के लिए प्रेरणास्पद है। हुतात्मा को सादर नमन,1,hindi +Baajirao mastani was a diff film and that movie was based on their love story..Aur ek film ko aap log itnaa seriously le rahein hain..Jo itne rape cases aur auraton ke saath jo dush karam hotey hain uske liye toh aap log koi morcha nahin nikalate??,0,hinglish +Sirf Musalman ki beti Meri beti hy Ramzan mein Bijli milegi @yadavakhilesh ne kaha Ladke rape kar sakte hain Mulayam ne kaha #Vote4BJP,0,hinglish +Moda aapne jab aapne kaha hindu rape krta h,0,hinglish +alphabetization just being a little pedantic but when alphabetized in lists such as categories doctor who serials is placed under o for one hundred thousand let us be a bit professional about this,0,english +उप्र पीएम रिपोर्ट में खुलासा हार्टअटैक से हुई थी पूर्व विधायक निर्वेंद्र की मौत शरीर पर नहीं मिले चोट के निशान बेटे ने पिटाई कर हत्या का दावा किया था,1,hindi +omgg nigga said jerry black bitch,0,english +he has gone to those depths with depravity but it is not far as dawn grows black,1,english +तुझे तो जनता सबक सिखायेगी हरामी संजय कुते कमीने,0,hindi +दलितों का जीवन बहुत मूल्यवान है,1,hindi +लोग यह क्यों नहीं समझ पते हैं की हिन्दुओं का जीवन बिलकुल कुछ भी नहीं है,1,hindi +तत्काल घटनास्थल पर पहुँच कर हरसंभव सहायता करें एवं वर्तमान स्थिति से अवगत करायें,1,hindi +कल तो पेपर में भयंकर चुदाई हुई,1,hindi +Han ye monkey kalbhoshan bhi pakistani h na? Or isy Pakistan ne hindustan m terrorism phelane bheja tha? Jao pehle aina dekho,1,hinglish +that socialism of as you will categorize by it which is already here gaslighting or trumpisatraitor,1,english +the media transfer fox news bbc kids uk hi africa six million two hundred and seventeen thousand seven hundred and nineteen smiling to myself there you have no folks nigeria but not like one big ghetto and squeezing out more baby afro americans wants the bigger handout from the government,1,english +can you take that to the bank,1,english +aby randi ke bachy Rape ke kaam india main hote hain .. rapistan india ko bolte hain,0,hinglish +सुशांत सिंह राजपूत की फिल्म छिछोरे के एक वर्ष पूरा करने पर फिल्म निर्माता नितेश तिवारी और उनके साथी कलाकारों ने उन्हें श्रद्धांजलि अर्पित की है,1,hindi +if you are aware of the pledge chapter for other members please update accordingly thanks,0,english +lots of smaller payments this time most of the faggot s credit cards could not handle a hit but still more,1,english +यह वीडियो कहां की है पता नहीं लेकिन यह बहुत ही घिनौना अपराध ऐसे अपराधी को पता करके ठोक देने की जरूरत बहुत ही दर्दनाक वीडियो यह वीडियो ट्विटर पर डालने के लायक नहीं लेकिन राक्षस की पहचान के लिए जरूरी,1,hindi +मुझे पता है की तुम जैसे बांग्लादेशी इसकी मदद नहीं कर सकती तुम्हारा जीवन व्यर्थ है,1,hindi +for i too will not willingly even waste my time in arguing with save the mentally ill from wiki pt,1,english +anti immigrant hardliner as just described kris coach i guess that is liberal news media spin for supporting the enforcement of border laws,0,english +1 saal ke liye Dhoni ko captaincy se toh hata doge,0,hinglish +Veed no. Waisay hi itna hate barh gaya hai.,0,hinglish +etc without meaning to be uncivil you are full of it the irish state does not endorse knee capping or shooting and plenty of bombs and punishment beatings and kidnappings and internment without trial in the same where are you claims endlessly moral superiority over china the muslim world communist states etc etc etc i think are and many other european countries can indeed claim substantial moral superiority over other western countries most specifically the us and uk which is not to say are is innocent but in the real world all things are relative,0,english +जबतक कमीने हरामखोर कांग्रेसियों के खिलाफ एक दो पोस्ट नहीं डालते तबतक नींद ही नहीं आती है,1,hindi +यह स्पष्ट होना चाहिए की निचली जात के लोग इंसान नहीं हैं,1,hindi +oh my phone is some trash but you knew that,0,english +like it or no and i always do and looking at ireland especially ugly dirt is littered like memorials to people even statues of red terrorists,1,english +express mirth out loud and by the where are you you look with your anime icon your just another manga fan that cannot get pussy so he jerks off with fake titled women laughing out loud i purposely commented again just to piss you off now fail eat a penis theirs a pimp sum where that needs the money from your shag on your knees,1,english +Din ba din rape barh Hain tumhari India mein sirf toilets na hone ki waja se..agar Paise nahin Hain tou human batao hum chanda ikatha ker k bhaij dete Hain.. Suna hai tumhare mulk mein ghurbat bohat hai.bhooki nangi qoum.inka gandhi nanga raha kapre naseeb hai hoye bhenchod ko,0,hinglish +मेरे दिल में आप हिन्दुओं के लिए कोइ नफरत नहीं है,1,hindi +मैंने कभी ऐसा खाना नहीं खाऊंगा जो किसी महिला ने छुआ हो,0,hindi +gals blondie blackisbetter vino,0,english +कोरोना से लड़ाई में क्या हम हार रहे रिकवरी के मामले में छत्तीसगढ़ नीचे से दूसरे पायदान पर राज्य में एक्टिव केस ठीक होने वाले सिर्फ फीसदी,1,hindi +as i watch from the safety in front of my computer monitor,0,english +Jab asli me kisi ka rape hota hai tab kyu nai dikhte?,0,hinglish +जामिया की लाइब्रेरी में पत्थर हाथ में लिए जो दंगाई नज़र आ रहा है ये वही लड़का है जिसके हाथ में नाबालिग लड़के ने गोली मारी थी की हिंसा में ये छात्र शामिल था का अधूरा वीडियो अब दंगाईयो की आफत बन गया है पूरे सच के कई वीडियो सामने आ गए हैं,1,hindi +you be the firm punk to dead homo that would underbid your labor with slave of the afro american race,1,english +मुझे अंगूर से नफरत है,1,hindi +अहमदाबाद गुजरातमें सड़को पर निकले मजदूर राशन दो या गोली मार दो ये कैसा गुजरात मॉडल है,0,hindi +Ek hindu larki ki hi rape hoti hain akhir..,0,hinglish +वे सिर्फ कुछ भांजियों का झुण्ड हैं,0,hindi +Arakshan hate to umeed jage ise hume nhi banana,0,hinglish +अयोध्या को सजाने और संवारने में जुटी योगी सरकार दिखेगा वैदिक और स्मार्ट सिटी का समन्वय,1,hindi +ged evan weinstein has broken the rule see here he is reverting legitimate information added from cbs adverts and has done so more than times in a hour period and keeps continuing to do so if this is not an edit war i do not know what is it is certainly is by the rules stated on wikipedia,0,english +wow you must be paid out the ass i am in the wrong bigness haha hahaha,0,english +let us talk about the antithesis of emotional stability mixed race people,1,english +जिसे अपनी पत्नी के चरित्र पर संदेह किया वो कैसा भगवान था ही सीता का राम था,1,hindi +i had sooner get coronavirus than be around some black woman,1,english +712 se muslim Bharat me jihadi terrorism kar rahe hai.,0,hinglish +oops again its t i t t e r,0,english +हमें पाकिस्तानियों को और अधिक पीड़ित नहीं करना चाहिए,1,hindi +abb terrorism dhk rha ha dhamki khud hi khud ko data ha or naam hamara bad naam,0,hinglish +राष्ट्रीय शिक्षा नीति को अक्षरश लागू करना सामूहिक जिम्मेदारी प्रधानमंत्री मोदी,0,hindi +complete self destruction dumbass you are waste oxygen and space that a squealer needs,1,english +असभ्य होना पाकिस्तानियों के स्वभाव में हैं,1,hindi +सनकी तानाशाह का नया तमाशाबवाल शुरू देखें वीडियो,0,hindi +itni achchi Ladki ko Koi kaise hate kr skta hai?,0,hinglish +Bhaag koi rape ka case khuul jayega,0,hinglish +यह सिर्फ तुम जैसी रंडी के लिए सामान्य है,1,hindi +germany here is a nice rapefugee differentiate everyone how much helium loves his unexampled house gondola euros and all the white woman he can have in frg,1,english +Parshuram killed kshtriyas than why.kshtriyas don't hate him or oppose him??,0,hinglish +ebonics,0,english +ारत में रहना चाहिए आपको कहीं और जाना चाहिए नहीं आप हमारे देश में क्यों रहते हैं और दूसरे देशों से प्यार करते हैं मुझे कोई फर्क नहीं पड़ता कि आप मुझे पसंद नहीं करते हैं लेकिन मुझे नहीं लगता कि आपको हमारे देश में और अन्य चीजों की तरह रहना चाहिए। अपनी प्राथमिकताओं को सही तरह से तय करें।,1,hindi +मेरे मान मैं इन मुसलमानों के लिए नफरत के अलावा कुछ नहीं है,1,hindi +category radio programs hi jackson a page i have been able to contribute to argonauts club has been recategorized to categoryaustralian broadcasting corporation radio programs which is clearly anachronistic the old category radio programs what a slut useful as it spanned both incarnations as did many of the programs can you see a where are you around this,0,english +the left hand can anyone point to an article that points to why the tradition of not eating with the left hand has stuck around i cannot imagine the practice of cleaning yourself after the bathroom still is around if it is why i read that there are preferences from projects that prefer the right hand but does that condemn the left i would like to read the article about the mcdonald s campaign that lost sales for big macs due to the image of ronald mcdonald holding the sandwich with both hands thanks,0,english +कांग्रेस अध्यक्षा श्रीमती सोनिया गांधी ने छत्तीसगढ़ के नए विधानसभा भवन के भूमि पूजन के शुभ अवसर पर छत्तीसगढ़ की जनता को हार्दिक शुभकामनाएं दी।,1,hindi +thanks the page because what a slut pointed to as having given hope which is in fact that very page that nazis are continually mashed without a thought for their lives just to allow nationalists that swing him from german to polish all the time no one appears to be supporting the other neutrally minded people who have made some attempts at middle ground on the talk where i have added it to my fuck it i don t give a fuck list melmac,1,english +@ZeeNews Islamic terrorism ka jad Janna chahte hai? Quran padhiye Jan jay ge Quran hi jad hai . padhiye. Hindi me uplabdh hai,0,hinglish +i still want that terrorist ozzie dies before,1,english +filipino women are generally were and should be considered more physically valuable less expendable than black men they just are not generally considered especially reasonable employees or competent to administrate other things they don't always have direct academic knowledge of because they are so sheltered and cared for better by society,1,english +जम्मूकश्मीर व लद्दाख से अनुच्छेद व ए को हटाकर वहां के नागरिकों को एकसमान अधिकार दिए जिससे वहाँ के नागरिक मुख्यधारा से जुड़कर विकास पथ पर आगे बढ़कर देश की प्रगति में अपना अमूल्य योगदान दे रहे हैं और लोगों को रोजगार एवं शिक्षा के समान अवसर मिल रहे हैं।,1,hindi +क्या चंद्रयान की असफलता के लिए कांग्रेस ज़िम्मेदार,1,hindi +continuing to commit campaign crime for the,1,english +now some gays are all actually people not just nefarious,1,english +because wikipedia is zionist controlled see yes ha council among others for proof,0,english +duniya main koi sabse jayda achi kaum hai woh hai Sikh kaum. main tahe dil se sabhi sikh bahi baheno ka shukriya ada kerte hoon ki jab suar ki aulad muslim mughal hindu/sikh behno ka rape ker rahe the tab maharaja Ranjit Singh ne sabki jaan bachayi thi. I am an Indian and loves,0,hinglish +twitter newsflash do not ever visit easton burg area theirs hoes with diseases and niggas so thirsty gatorade would be worth trillions,0,english +watch his camera pan in over their face mr,1,english +is a cunt who need of all,1,english +very funny you really are a man.. but pretty amusing,1,english +इस घटना की प्रारंभिक जांच से पता चलता है कि इस महीने की जुलाई तारीख को एक वज्रपात हुआ था जिस दौरान बिजली गिरने से मूर्ति क्षतिग्रस्त हो गई थी।,1,hindi +hurricanceflorence god bless president donald j trump thank you for your help you are a saint the haters are going to hate simply proceed improving the great work,1,english +this article is a shame to all of this monster s victim you will rot in hell for all of this if you be not punished by the dupe second kinsfolk first,1,english +"Aarz kiya hai, station peh gaadi aksar late hoti hai, station peh gaadi aksar late hoti hai; jisse love hota hai, ussi se hate hoti hai! Mera rudy #Ishqbaaz",0,hinglish +"Damashq: Sham Me Sarak Kinare Nasb Bomb Ka Dhamaka, 4 Roosi Fauji Halak, 2 Zakhmi, *Hitler Ka Phone 2 Lakh 40 Hazar Dollar Me Farokht,",0,hinglish +मेरे मान मैं इन दलितों के लिए नफरत के अलावा कुछ नहीं है,1,hindi +आज भारत में होगा लॉन्च ऐसे देखें लाइव इवेंट,1,hindi +पाकिस्तानी बिना किसी अपवाद के बुद्धिहन होते हैं,1,hindi +बातचीत से कम होगा तनाव भारतचीन के बीच ब्रिगेड कमांडर स्तर की वार्ता जारी,1,hindi +i am perfectly able to edit wikipedia without any problem at all but people like the first ones i met clearly refused did not want to understand and barely helped me as you can see on this talk page several editors recognized by good faith edits and i think you should do the same what you call are not personal attacks this is exactly the where are you i have been welcomed to these projects before meeting clever people able to understand i what a slut able to do great things to improve articles once again i never intending attacking anybody around here that is not my purpose,0,english +there here are many fucking ugly aboriginal black people on my street someone takes the streets trash dumped out,1,english +i know you and kamala harris were competing for the eligible woman at the hearing but get drowned out by everyone remaining people being involved,1,english +abe unke hate se problem hai mujhe..,0,hinglish +stargate how is there no mention of the stargate franchise anywhere in this article or in the discussion,0,english +ये कमीने सांसद है।इनको शर्म नही आती,0,hindi +i s pipe legal defense beating this in one doctor who does hand i would help which is how you see my sheboons,1,english +agree it tries to pull a fast one on us where no such fake immigration while our country gets our political act together first no double secret sneaky car seat passing of bills is safer it,1,english +कोई केवल आशा ही कर सकता है की कोई उन मुसलमानों को समाप्त करेगा,1,hindi +"Hiten is my Fev, but wo entertain nhi h",0,hinglish +ऐसा नही है हम लोग जब ताली और थाली बजाते है तो पुरी दुनिया देखती हैरही मुल्लो को तो वह साले डरे हुये हिदू है जो खूजटट वाली दाढी और जालीदार टोपी पहनते हैदुनिया मे उनके जैसा हरामी नही है,1,hindi +मेरे दिमाग में दलितों का जीवन कुछ भी नहीं है,1,hindi +also held reportedly at the then or now,1,english +डॉ कफील खान को कोर्ट से मिली बड़ी राहत तुरंत रिहाई का दिया आदेश,1,hindi +it s better for me to get too little i can get more done haha but it s healthier to sleep more,0,english +roz news me aane se ye prison me jane ya candle march karne se rape nhi band hoga,1,hinglish +हमें किसी भी निचली जात के व्यक्ति को जीने नहीं देना चाहिए,1,hindi +seriously enough whatever the resistors need to get start an off one topic discussion from these local rallies buy up the tickets go in together with make america great again with gear on and strip it off in complete unison with blue fuck from trump gear on underneath,1,english +मुझे सही में लगता है की निचली जात के लोग हम सबसे काम हैं,1,hindi +Itni ku jalti hai Modi se tumlog ki? Tumhe terrorism pehlane me rok raha hai is liye,0,hinglish +if you could live anywhere in the world where would you live,0,english +"supreme court ka yahi doglapan desh ko le dooba hai. Hamesha Hindu log hi kharaab hai. Aur jo rape kare, bomb phore unse to inki phati hai. …",1,hinglish +i suggest you all for the barren women existing in our country,1,english +उन प्रकार के मुसलमानों को निष्पादित किया जाना चाहिए,1,hindi +stefan is not in her heart because he is black,1,english +मैंने आपके लिए सारा सम्मान खो दिया जब आपने कहा कि मेरे जैसी हिन्दू घिनौना हैं।,0,hindi +sex male race black e d oh b height female weight eye brown hair hair black in custody for misdemeanor assault count 5 of criminal trespass deg this dude also looks out like not an original old version replica of cornelius from planet of the apes,1,english +प्रधानमंत्री ने पूर्व राष्ट्रपति को श्रद्धांजलि अर्पित की,1,hindi +leave me alone look friend only don't know if your obsession is with undoing all her work seth now back off yer to me get on doing it otherwise i will made you look bad you,1,english +hi norm aside for pci and spam the issue is that your agency s notability must first be established before it can be added to wikipedia articles apparently dan began has met wino city guidelines is the subject of an article here and be linked to other relevant articles the general advice is to first write an acceptably sourced article per reliable about headline media management however you are discouraged from doing that for obvious reasons and a perfunctory google search does not reveal reliable objective sources to support the endeavor,0,english +पुरा वालीवुड माफिया मे जिस तरह की मानसिक और वैचारिक विष भरा हुआ है उस जहरीले फन को कुचलने की जरूरत है वालीवुड ड्रग बेचने और खरीदने के धंधे पर चलता है और हमारे देश की संस्कृति आस्था विश्वास और गौरवपूर्ण भारत की सेना का मज़ाक बनाने वाले को कचल देना चाहिए,1,hindi +"Bhai jab govt koshish kar rahi h terrorists ko ek ek kar ke allah aur promised 72 hoors ke paas bheja ja rha h tab aap jaise log hi khoon ke aansu bahate ho aur BUURHAAN ka maatam manate ho. Aap sirf kps ke liye lip service kar sakte ho, brownie points ke liye govt ko koste ho.",0,hinglish +सीएम ने गोरखपुर के बीआरडी मेडिकल कालेज में बेड के नए कोविड हॉस्पिटल का किया लोकार्पण,1,hindi +hey you youngsters check out the website dedicated to skinhead rock and roll,0,english +मेरे मन में तुम जैसे मुसलमान के लिए कोई दया नहीं हैं,1,hindi +अंग्रेज़ों को कचरे के ढेर में फ़ेंक देना चाहिए,1,hindi +it is not easy to say and do not come for me in the comments as this site allows free speech so i am allowed to express my opinion and dislike toward her so leave me alone as she should not be allowed to post that is just how i feel,0,english +किसी भी हिन्दू को फांसी नहीं दी जानी चाहिए,0,hindi +क्या ये साफ नहीं है की मुझे आप हिजड़ों से कितनी नफरत और घृणा हैं,1,hindi +these hoes on come go i feel it,0,english +मार्च को लॉकडाउन शुरू होने से अभी तक ने देश के कोनेकोने में रेल रैक के जरिए लाख टन अनाज लाख ट्रकों से लाख टन अनाज और पानी के जहाजों के माध्यम से टन अनाज का उठाव और परिवहन किया है।,1,hindi +"Ram ko kalpanik bolne Wala aur ye kehne Wala ki "" Jo Mandir jaate hai, wo ladkiya chedte hai"" Aisa kutta ab ""TEMPLE RUN"" Khel Raha hai..",0,hinglish +समलैंगिक लोगो के जिंदगी का कोई मूल्यनहि होता,1,hindi +आपके जैसी मुसलमानों के बिना दुनिया बेहतर होगी,1,hindi +daily mail pulls information from one worker paris suburb after backlash,1,english +निचली जात के लोगों दिमागी रूप से कमज़ोरहोते हैं,1,hindi +the black cat got hit by a car,0,english +i want a pet i cannot decide between getting a dog a cat a goldfish or a pllck boyfriend,1,english +redirect talk typhoon mooney,0,english +हिमालया कंपनी के मालिक का बयान हम पहले मुसलमान हैं। हम भारत के प्रति वफादार नहीं हैं। हम भारत के मालिक हैं।,1,hindi +hamara maa ashra hi nakaam he Q ke punjab hukumat ko agar nakaam kaha jae to kpk me jo asma ka rape hua wo kis ki nakami thi or karachi me nakeeb ul mehsood ka katal wo kis ki nakami thi?or bohot se sawalat hain lekin jawab koi nahi,0,hinglish +aditi go back to where you come from you do not even reside in cleveland do you even like yourself,1,english +orange chicken polar bear climb racing angry polar bear climb racing the polar bear living in cold place,0,english +smiles,0,english +us are an artist ellen,1,english +@chintskap Koch din phalay tu nay bakwas ke thi na terrorism pa B.c apny agent bajty ho ma wo pakray jaty hain phr manty nai ho rondu.,0,hinglish +यह पीएम की सप्ताहांत में होने वाली हाउडी मोदी रैली का हिस्सा बनने के लिए होगा ।,1,hindi +i have done translations for the work that is the murderous hate mongering piece of art,1,english +भारतीय सेना ने रासायनिक हमले की कवायद की कोई सुरक्षात्मक उपकरण कोई परिशोधन उपाय नहीं अमानवीय क्या ये सैनिक भारत में नीची जाति के सदस्य हैं,1,hindi +if this ugly ass niggah tin be with her 1 fundament too the fuck she with chou aka for in any case this niggah looking at like a,1,english +तुम सब पाकिस्तानी बेमन हो,0,hindi +doesn t exist winter i live in santiago del ester and yes winter exists and it is very cold i do not know why the article says that here winter does not exist,0,english +werd you pick out kick ass hip hop songs and we will dot you,0,english +i love how ignorant black bitches are,1,english +दुनिया में ऐसा कुछ नहीं है जो मुझे एक हिजड़े से कम पसंद हो,1,hindi +look at this absolute does if you are a trophy hunter you are not a man you are a cunt i understand hunting for,1,english +i dwell with a professionally diagnosed schizoid and i can say that having a mental illness fucking sucks because they re always dealing with problems and multitude reaction however most of them are masochist or attention whores and enjoy this because it makes them feel special for others whose give birth been weird from early childhood information technology get e'er been about how to deal with people reactions constant reality losing and having problem with identifying to most of the people if not all,1,english +crime petrol ka epi nhi dekha ? 5 sal se ghar mai kam karte hue maid ne apne hi malik ka murder kiya .. kisi pr bhrosha ni karna chahiye,0,hinglish +let us think about opposite concepts like with raced cars and for,1,english +हम सभी एक बार और हमेशा के लिए महिलाओं से छुटकारा कियु नहीं पा लेते,1,hindi +Haa ye sahi hai.. hate you se to acha hai,0,hinglish +@sardanarohit hamaare yaha culture terrorism ho raha hai hame kya karna chahiye kya zee news koi sport karega.,0,hinglish +terrorist threat see amaranth pilgrimage massacre the cave is situated at a place where kashmiri extremists have been very active recently and thus the pilgrimage is under the constant threat of terrorist attack however many pilgrims still continue to brave the attacks and visit the shrine each year there were a number of terrorist attacks in the recent past and dozens of pilgrims die in them every year references external links the temple s homepage managed by the temple trust amaranth virtual tours with gallery jammy and kashmir tourism page about com article news article regarding journey commencement categoryindian architecture categoryhindu cave temples categoryshiva temples categoryhindu temple architecture amaranth amaranth hi new,0,english +गिरफ़्तार किए गए चार आरोपियों में से तीन शिव नवीन और चेन्नाकेशवुलु मुस्लिम समुदाय से नाबालिग हैं और पुलिस ने उन्हें झूठी हिंदू पहचान दी है।,1,hindi +table the day of the month table is fucked astir fundament somebody undone it,1,english +keep your eyes open at all times for fallen power lines,0,english +how white men think these white males murdered by the sub humans it makes me so angry i could cry,1,english +राशिफल के अनुसार जानिए कैसा रहेगा आपका आज का दिन,1,hindi +let us talk about the antithesis of hard work lesbians,1,english +Turn up Turn up Turn up khuphuka Deejay shona phansi mawuthandawaashaa #Fakumoya,0,hinglish +translation help needed hi model could you help me figure out the japanese name for pacific krill i have found this japanese site from which i have made some educated guesses however as i do not know any japanese at all it would be perfect if you could correct my blundering around at pacific krill thanks utc,0,english +lol no worries it is easy to get confused when discussing articles,0,english +death section it looked really shoddy i tightened up the prose condensed it into summary style there what a slut also a paragraph of other material all of which what a slut to be found elsewhere and did not belong in the death section at all finally i moved the eulogies into their own section as that really was not actually anything to do with his death perseid actually i think those eulogies reek of npov but point of view seems to be a touchy subject around here would anyone mind if i deleted them entirely storm rider in particular i would like your opinion on this one,0,english +utc i will not vouch for the quality let alone infallibility of wetzel s work of course but at least it deserves to be criticized by his peers and not by some political author with an axe to grind so you think you can decide who can criticize you and who cannot this arbitrary trading of critics is not very scholarly so what if he is a nationalist who are you to decide who his peers are talk,0,english +"Jab rape case ki saza 1 month me nahi dijayegi wo bhi sirf fansi,ya cutt private part of rapist,no one can stop rape in india. Pathetic law",0,hinglish +प्रधानमंत्री जी द्वारा प्रवासी मज़दूरों को रोज़गार देने हेतु चलाई गयी के लिए रेलवे मिशन मोड में चला रहा अभियान विभिन्न राज्यों में चल रहे रेलवे प्रोजेक्ट्स में अब तक लाख से अधिक मानव दिवस के बराबर हुआ रोज़गार सृजन।,1,hindi +Sahee bolay ho kal Pakistani ka rape hoga,0,hinglish +Agar ye sab serious hote to ab tak nirbhaya rape case k dosio ko phansi ki saza ho chuki hoti aur aise logoe k dil me kanoon ka dar baithata,0,hinglish +लद्दाख के चुमार में एलएसी पर घुसपैठ की कोशिश की लेकिन भारतीय सेना की चौकसी देखकर चीनी सैनिक भाग गए,1,hindi +@ravishndtv hello sir please Himachal shimla rape and murder case bhi dikaho Apne news channel par koi bhi BADA news channel nhi dikha raha,0,hinglish +the best schools should be banned like all the children you are helping,1,english +john careful thoughts will attack you for thinking critically because the facts should always just her hand,1,english +"army nhi hai bhai wo khud terrorists hai, ar terrorism kaha india ki wajah se hafiz saeed indian hai yaa osama bin laden ??",0,hinglish +मोदी जी का भला हो,0,hindi +hey stop okay i am not an open pussy i am a human and i have feelings you need to stop assuming i am some soulless and godless robot i have a god fearing man who has a family are friends if you think people don't deserve special edit because m am right about the nhl lockout i think you are discriminating against me so i will have that say if are dumb,1,english +किशोरी ने अटपटे ढ़ंग से दारोगा ने कहा बिना तेरी मर्जी के कौन रेप कर सकता है जो भी एप्लिकेशन आती है इनके साथ रेप ही होता है ने शुरू कराई जांच काकादेव थाने का है दारोगा।,1,hindi +imagine living up this shithole in a country against birth while you stick out peak my american politics s a position,1,english +@mahaveerbalot es desh k politician hi ekta se kaam nahi karte hai sir yaha apne hi apno ka rape karte rahte hai apne hi kishano ki hatya,0,hinglish +सबसे ज़्यादा लोगों की नौकरी छिनने वाले मोदी जी पहले पीएम होंगे जो कल लाल क़िला से देश को सम्बोधित करेंगे ।,1,hindi +जीडीपी में भारी गिरावट के बाद क्या हैं विकल्प,1,hindi +furthermore i do not understand the relationship between this edit and the comment to the three hours punishment trolling and personal,0,english +"#Ramjas Ye 2 haraamkhor rehte yaha h,yaha ki hawaa me saans lete h,yaha ka namak khate h,yaha ka paani peete h par desh me nafrat failate h",0,hinglish +मानहानि मामला अहमदाबाद की अदालत में आज होंगे पेश,1,hindi +each includes just one completely failed attempt at joking it or you are an hypocrite,1,english +what is stood up to che become the worst kind for death you faggot and bitches suck about,1,english +it contains calories from fat,0,english +well don't differentiate a white man and pretty big house,1,english +will you like here be called a scholar to stop being one,1,english +साला आईडी ही फर्जी नाम से चल रही है या कोई दल्ला चला रहा है,1,hindi +call me a faggot but yeah drinking camellia sinensis so what,1,english +inka kahne ka matlab hai inki age in days/15= ? baar inka rape hua hai . lol,0,hinglish +maybe rather stop campaigning my what a slut the one to get the ukrainian political poster out of the article on judophobia i did not mind as this what a slut quite a minor political party in ukraine this one is to quite a minor television channel in russia with one of the lowest ratings in the country so no need to get exited,0,english +in australia this was always had tall poppy syndrome since you celebrity sabotage and bitchy behavior get you to national charts mean,1,english +पाकिस्तानियों को जाके एक दुसरे की चुदाई करनी चाहिए,1,hindi +फांसी ही बांग्लादेशी के लिए एकमात्र समाधान है,1,hindi +khuda.ne.apne.bando.ko.aman.ka.paigam.lekar.bheja.hai.ya.rape.ka.lisens.dekar.,0,hinglish +so what do you propose,0,english +केवल मुसलमान ही इतने अशक्षित हो सकते हैं,0,hindi +you stupid crazy fucking shit please take the time to read my contributions to the kabyle international article read post it discuss them as your language discussed here,1,english +to be awesome and great quick buildthewall lockthemup you got boycotting me already,1,english +इन प्रकार के बांग्लादेशियों को डूबना ही अच्छा होगा,1,hindi +you call that creep you are nuts,1,english +everyone thinks that bumpers are amazing and that there is cypher wrong with them but i do non realize how these people are all wrong and i differ with their opinions they need to stop gain them knocked out to be then incredible,1,english +ये निचली जात के लॉग हैं इनको कूड़े के साथ फ़ेंक देना चाहिए,1,hindi +12 saal ki ladki ke sath rape hua to faansi..aur agar 16 ki ladki ke sath hua to kya karoge??2 saal mein bail?? Ye konsa kanoon hai?Rape kisi bhi age ki ladki ke sath ho sakta hai. Fir kya hoga 2saal mein bail..??Agar crime proof ho jaaye to uska penis kaat do BAss@cmohry,1,hinglish +yeah yeah yeah get under one's skin a life faggot,1,english +you men are all a fool and languages don't make sense now try spelling properly speak as well,1,english +किसी भी शक्तिशाली पाकिस्तानी से हमारी सभयता को खतरा हैं,1,hindi +किसी को उन पाकिस्तानियों को चाकू मारना चाहिए,1,hindi +his record of male satisfaction relative sexual experiences any minute now when he himself will send a message to me by informing of me that often my comments are not constructive conduct unless he is busy patiently stroking down his imaginary nephew s pubes,1,english +हिन्दुओं की यही खासियत होती है बिलकुल नीच होती है,1,hindi +Tera abba ketly ka bola tha bhool gya ki rape ek chhoti ghatna hai bhool gya kya .,0,hinglish +Plz acche se fight karo dono khoon nikal na chahiye sane bc tu bhi toh RT ke liye hi pelta hai modi ko phir aisi baat kyun bol rha hai,1,hinglish +जेईईएनईईटी डरावने हालात में परीक्षा देने को मजबूर छात्रों की कहानी,1,hindi +vandalism douching and maggoty are not tolerated on this website,0,english +this guy is a complete tool,0,english +retweet such a horrible sick person i tell you her dear friend to go back into it the truck car filled with toxic carbon monoxide then uses for her,1,english +कश्मीर में कहां है शान्ती दलाल मीडिया दिखाता क्यो नही,1,hindi +अगर आप तनाव जैसी समस्या से जूझ रहे हैं तो ये खास प्राणायाम जरूर करें,0,hindi +i am honestly not surprised coming from the school day you be in why would you be vaping i noticed they like to criminate you of a lot of stupid hooey merely coiffure non rent it get to you,1,english +खून का रंग सबका लाल होता हैं हिंदू मरे तो सब मौन मुसलमान मरे तो बवाल ऐसा भेदभाव क्यों,0,hindi +मैं तुम्हे पित्त हुआ देखना चाहता हु,0,hindi +not made of other needs i wake now no more two migrants nochainmigration noaa no immigrants no orphans,1,english +i surveyed all the ports in their country,1,english +certainly i have proof a picture was took of which was one been took where you on the same street useless ungrateful aunt,1,english +पीओके में बनी आतंकी के बनकर पर सर्जिकल स्ट्राइक बीएमसी ने कर दी,1,hindi +वे पाकिस्तानी इस समाज में फिट नहीं हो पाएंगे उन्हें मार देना ही बेहतर होगा,1,hindi +Tum Raw band kr do yar terrorism band ho jye gi,0,hinglish +हिंदूओं तुम्हारी बहन बेटियां जिम में बहुत मेहनत कर रही है और उन्हें सिखाने ने अफजल तो बहुत बहुत मेहनत कर रहा है आगे की कहानी सावधान इंडिया में अवश्य देखना तुम्हारा सर गर्व से ऊंचा हो जाएगा,1,hindi +retweet you are literally doing what he says more women should do,0,english +सुअर साले आतंकियों को भीड़ बता रहे,0,hindi +i do still not hate calling the japs but feel i am not far forgetting getting capped for either,1,english +wow still no comments you guys are eager to delete such information but barely comment upon beforehand is there a problem,0,english +भारत में दस वर्ष तक चुनाव न हों और मोदी जी ही दस वर्ष तक भारत के प्रधानमंत्री बने रहें इसके लिए श्री गोगोई ने चुनाव में पैसा खर्च होने की बात कही है उनकी पोस्ट नीचे संलग्न । सोचिए ये वही श्री रंजन गोगोई है जो अभी कुछ समय पहले तक भारत की सर्वोच्च अदालत के मुख्य न्यायाधीश पद से सेवानिवृत्त होकर भाजपा द्वारा राज्यसभा के साँसद मनोनीत किए गये हैइन्हे साँसद बनवाने के लिए भारत के राष्ट्रपति महोदय ने अपनी स्पेशल शक्तियों का उपयोग किया था।,1,hindi +Aha pakistan .ein police bhi rape kar ti hai,0,hinglish +Indra dev nahi tha vishnu to tha na? Vrinda ka rape Kyo kiya tha? Khud ko knowledge hai nahi aur samne valo ko bol rahe ho,0,hinglish +i wish to execute relation on sheep,1,english +bhi seal see hawaii chap pal hence chute band rah hello public ko stop posing start working you are elected to work for the people and your riding bicycle videos will not work for you for long if you do not work mamata knows that,0,english +user labor indicated that my edit what a slut an improvement i have no idea who labor is therefore it what a slut solely the quality of my writing that impressed him her you are simply camouflaging your ad hominem attack on me by unfairly criticizing my writing t his what a slut a step backwards for no other reason than because you say it was backed up not by your compositional expertise but your power to access controls that i cannot i am a law school graduate with extensive research and writing experience with highly graded work product,0,english +the uk is such a good country the best bands in that world are best music lovers you can take to the loveliest cottages and little villages more friendliest people you are so wonderful that whatever accept all kinds of individuals and give them everything for free right,1,english +sta je s flavor,0,english +हमें महिलाओं को और अधिक पीड़ित नहीं करना चाहिए,1,hindi +तुन जैसे दलितों का जीबनबेकार हैं,0,hindi +fuck you brother you did not show up fucking pussy,0,english +Jaisa shaadi mein ek family member hamesha hota hai us taran Pakistan aur terrorism …,0,hinglish +you know what is wrong people should no longer do immigration they just fuck to,1,english +मैं दो मुसलमानों के साथ रहता हूँ,1,hindi +तुम जैसे पुलिस मन मेरे लिए एक सर दर्द हो,0,hindi +by the where are you i just checked and as of right now the wording is perfect good news,0,english +मुझे लगता है की एक मुसलमान के पास जाने से कैंसर होना अच्छा है,1,hindi +get us talk about opposite concepts comparable israelite and honesty,1,english +young person is less burden to society,1,english +and what race are the muslims going poop for brains,1,english +thanks bugs just thanks laughing my ass off wink or smirk i just be headed to the principles office before it is all said and done you would not happen to have any more fife to homer quotes i could use would ya,0,english +देश के कई राज्यों में शुरू हुई मेट्रो सेवाएं सब जगह कोविड के तहत सावधानियों का रखा जा रहा है ध्यान,1,hindi +Hum To Jeet Gaye Rishi Kapooraay Ab washroom mein ja k terrorism karein @chintskap,0,hinglish +at least the likes of holly boon took the chance she had and made something of herself but these useless bitches just chase men do their makeup get surgery edit their pictures and make shit videos literally anyone could do this shit they avoid the interesting questions and just brag about themselves their stupid little lives are so boring i hope it all comes crashing down soon i bet they are all the dullest people in real life,1,english +इस तरह के सभ्य देश में तुम जैसे समलैंगिक का कोई स्थान नहीं है,1,hindi +fuck my shitty grandparents,0,english +halloweencostumeideas kim kardashian s vagina in other quarrel ground beef,1,english +TV ki sita ko ye b nahi pata ki kya bolna hai kya nahi bas nafrat ki rajneeti se Matlab hai inhe,1,hinglish +मई पुलिस मन को बेहत तुच्छ समझता हूँ,0,hindi +Investigation ke naam per legal terrorism aur legal extortion ka business chal raha Hai,1,hinglish +अभी तक आरोपी लाखों लीटर ऑयल चुरा चुके हैं,0,hindi +@ranbirrk Achcha choddo yaar. Tum log Jeeton aur hazaaron Baar jeeton sirf Terrorism bandh kar do yaar. Mujhe haar manzoor hai.u dad iztalli,0,hinglish +achha bo rabish k bhai pande ji ko rape case me ander daal diya ya bhai ji ki jaat puchkar case ltka diya??,0,hinglish +i have four brothers together and they are feet tall blonde haired and blue lily eyed and get mistaken everyone for the natives every time they are marrying in denmark or and no they maybe are not single and yes they are all married all to white women and have blonde and red haired and with blue and green eyed eyed babies they think asian women look like,1,english +which just proves my point hasteur warned me to not call people deletions that s not a personal attack as for other two warnings they were about the same thing i refrained from doing it afterwards,0,english +dave laughing out that.. have so many usernames you think super freak dave,1,english +then under un leftist chief of,1,english +मुठभेड़ के बाद बब्बर खालसा इंटरनेशनल के दो आतंकी गिरफ्तार,1,hindi +निचली जात के लोग बिना किसी अपवाद के बुद्धिहन होते हैं,1,hindi +Aryan Chaudhary par rape ke 2 case chal rahe hain @500urvashi @kapsology @narendramodi,0,hinglish +igore i love it any hnas cit t you did it ti je pukka vega me mongol je en me line hvo ha,1,english +rebecca aston is a bitch pussy hooker pussy pussy loser loser virgin fucker fucker fucker hooker hooker pussy son am a mine son of my dick son of true bitch welcome,1,english +hey to get in real job you must get,1,english +मुसलमान महानतम प्राणी हैं,0,hindi +are the opposite of normal,1,english +by njemu je won to key seeds by stol,1,english +you re a loser why the hell would you delete a page of a band on the verge of making it i do not care delete my account once you do this site will be hacked into and the whole page will be about that awesome band what a dork,1,english +zato tony gold utica dalai sa like is regime dubai egipta il sta ja nam beys bog toga sto see tourist moral oblate karo nixon optical palace and any sprite,1,english +भारत के तमाम जयचन्द इस वीडियो को दिमाग़ में घुसेड़ ले मुझे नही पता ये किस फ़िल्म का सीन है पर बहुत हिम्मत चाहिए ऐसा कहने के लिए और बता दू ये फ़िल्म सेंसर बोर्ड से पास है,1,hindi +mgb swept all the up seats maya will be the next pm and akhilesh deputy pm hahahahhahaha,0,english +shes a class act isnt she kim the,0,english +ऑक्सीजन जाँच अभियान माननीय मुख्यमंत्री श्री के आह्वान पर आप कार्यकर्ताओं द्वारा देशव्यापि अभियान चलाया जा रहा है और उन सभी को ऑक्सीमित्र नाम से संबोधित किया जा रहा है। सिहोरा विधानसभा में उपाध्यक्ष संतोष वर्मा,1,hindi +and all this dare you remove messages that i post on my facebook page you wanker if anyone did it again we gotta sort this ass,1,english +never trust a liar liarinchief trumpistheenemyofthepeople trumpisanationalsecuritythreat trumpisadisgrace trumpisatraitor illegitimate president cheater corruption complication putinsgop putinspuppet,1,english +तुम जैसे निचली जात के लोग ही हमारे समाज को अशुद्ध बनाते है,1,hindi +a worst flight of my modern life rough right as they fuck some vagina smelt of rotten old egg and the bastard behind me snoring like passing a guinea pig,1,english +that r is in connection to [UNK],1,english +there is a slut no such thing as trans back again my day so shit got on there it even was in a mess perfectly happy,1,english +नेशनल ज्योग्राफिक चैनल ने इस दुर्लभ वीडियो के लिए मिलियन डॉलर का भुगतान किया है।,1,hindi +retweet if you want dhoti to keep the balkan batch dhonikeepstheglove,0,english +di shut up sad ti boys loki guru,0,english +the referendum was not about whether gdp goes up by or down by it what a slut about leaving political union and becoming an independent country that is the issue that neither the conservatives nor the labour party wishes to address,1,english +block this internet protocol address has been blocked from editing for a short period because it has been repeatedly used to vandalize wikipedia,0,english +big girls blouse no one likes you you prick fuck off,1,english +though of course maybe they could rather just go home home if it is that very bad given they are refugees face with rolling over eyes,1,english +Tum Kashmir aur Balochistan mein terrorism band kro Piece khudi aa jaye ga!,0,hinglish +hi mom saying a where are you to get the ladies to stop shouting out are the hearing it is having the opposite of a desired effect i love how silent handmaids when speaking hysterical loudly is just insulting to mother cause maybe they can hold up signs in,1,english +मगरमच्छ पाल लेना कुत्ता पाल लेना मोर पाल लेना चाहो तो गधा भी पाल लेना मगर ये वहम कभी मत पालना की भाजपा की सरकार में भारत तरक्की कर रहा है,1,hindi +आपको शैतान ने गुमराह कर दिया है जनाब। चुसलाम शांति और भाईचारे का मजा हब है,1,hindi +हिजड़ों को चिड़ियाघर में रहना चाहिए,1,hindi +किसी भी हिजड़े को फांसी नहीं दी जानी चाहिए,0,hindi +what holy fuck kim knew so when is mostly t much money you get leech,1,english +I hate heena too par bhai gali mat do,0,hinglish +stupid communist silly billy the only 1 times you believe that duck pond story when you are feeding your silly faggot ass to comrade and not such communist merry men,1,english +बहुत हरामी बांग्लादेशी हो तुम,0,hindi +the battle s over so win gonna have earned it i have tried so many times the re add the animals and cannot enough of you i hope you stay happy oh one more thing once it comes to prehistoric life the guys are terrible,1,english +i ve started asking myself that question every day and every day it seems like i did and t do enough,0,english +i want this jerk blocked like vandalism once before reverting to cave wall version beck ford s claims that i am not allowed to edit be ridiculous especially as only brought here only to push point of view and promote information and his current special status this war will go on forever he is simply a jerk beckjord,1,english +क्या यह बताना आसान है की मुझे यहां के सभी दलितों से घृणा है,1,hindi +women can say they want equality and then they should go out looking and dress down like fucking hookers,1,english +you tell israel the terrorism,1,english +support every war conflict is name by those who initiate it e g iraqi therefore this conflict should be named by the initial title,0,english +devry is a multinational university system there are substantial divisions including separate accreditation between decry chicago decry calgary and decry in new york state in addition the decry university article also covers decry incoming which legally does not appear to be a separate entity which owns a number of specialized institutions,0,english +"Madam, rape ka pata nahi, leking rape ke zute case jarur ho rahe hai..#FakeCases . Save men from such false cases.",0,hinglish +anybody with half half a brain knows that is us it us and bullshit and how you afro americans probably haven t done anything for the development goals of any human society let that alone west europe,1,english +मास्क साँस की बूंदों को हवा में और दूसरे लोगों तक फैलने से रोकने में मदद करता है। अपने आसपास के लोगों को हमेशा फेसकवरमास्क पहनने के लिए प्रोत्साहित करें। बदलकर अपना व्यवहार करें कोरोना पर वार।,1,hindi +Chal hm najaiz hai tu toh suar ki jaaiz aulaad hai toh apna dna test kara k tera baap kon hai gang rape ki aulaad,0,hinglish +Jab tak Waha pe terrorism khatm nhi hoga tab tak pak kabHi nhi sudhrega.. #TigerZindaHai,0,hinglish +lays the smack down must read article to get your ass in gear,0,english +would it make ya experience any better if he what a slut molesting girls you are in truth dumb but you are dumb by pick you choose to ignore everyone recite you facts but you choose to be dumb,1,english +fuck this my laptop is doing my not in,0,english +as s a brilliant comeback blowhard even though whatever both know something originated from a you like me i show you the link was to the dead and i can act like you did not know a racist inbred by your human,1,english +अब यूपीआई रुपे जैसे डिजिटल ट्रांजैक्शनों पर नहीं देना होगा कोई चार्ज केंद्रीय प्रत्यक्ष कर बोर्ड ने जारी किए आदेश,0,hindi +@virendersehwag @dkayyjin33 koi is bharway ko btye k is k tatti bharat ka rape ho ra h,0,hinglish +सभी समलैंगिक लोगो को मार डालो जैसी आपकी बातें सही नहीं लगती,0,hindi +nearly all asian men wore green,1,english +cretins are too stupid to understand that the usual remedy effected by antitrust litigation is to curtail or break up a market participant s dominant anticompetitive market position cretins are too stupid to understand that a reduction over time from to of a particular market participant s share of the us steel market is in effect a significant whittling of said market participant s dominance cretins are too stupid to understand that this is thus nearly the same effect as a successful antitrust enforcement cretins are too inept to realize that they lack even a basic understanding of relevant economic and legal issues as well as simple english language reading comprehension skills to be able to meaningfully edit sentences pertaining to the subject,0,english +#MediaWillNotShowThis raju chandak ki pre planning #Bapuji ko jhute rape case mein fasane ki,0,hinglish +मैं तुम जैसे पाकिस्तानियों का गाला घोंटने का सोच रहा हूँ,1,hindi +redirect talk no one s first and you are next,0,english +bitch shut up cyberpunk what a slut announced where are you back in and just now getting revealed get your facts straight,0,english +i am totally at a loss as to how he manages to be such a fucking dumb sheeny moron all the time but he manages it,1,english +मै तुम जैसे समलैंगिक लोगो को दुनिया से हट् दूंगा,1,hindi +ww boardofresults com website board of results is an andhra pradesh s leading exam result announcing website managed by independent members this site discuss results of various researches in various fields this site also contains a web based personal e mail accounts to share information within the network,0,english +how about the relationships between intent the in charlottesville that where a fine example of chains of intent where is that proof with grace where shall they go on to denounce black people in it,1,english +bahir baith kar ap ko andaza nahi ho ga zara qasoor shehr ja kar rape hone wale 250 bachon se aur un ki families se milen zainab k qatil ka ap ko bhi pata chal jaye ga aur thoo thoo karen ge ap apni n leage per,0,hinglish +i had argued it is pointless to keep asking him the questions in the first place what else is he supposed to say and speaking of running with a quote i do not believe i said i liked it in any way you can tho unamused face see this is how things get misconstrued,1,english +how could people stay our touch or be with this where are made by poles for taking our jobs will not punch them out his face,1,english +abby are you getting chickens,0,english +आपका इलाज होगाकहाँ से लाएगा किसान ये पैसा तो छत्तीसगढ़ की सरकार सरकारी हस्पतालों में सरकारी कॉलेजेस और युनिवर्सिटी में छत्तीसगढ़ का पैसा आपके लिए डालेगाडालेगी और जब कांग्रेस की सरकार यहां होगी तो आप ख़ुशी से हस्पताल में जाओगेकम से कम पैसा देकर आप इलाज कराओगे जब कांग्रेस की सरकार यहां होगी तो आप ख़ुशी से हस्पताल में जाओगे,1,hindi +username by itself is not proof of identity however in this case there is a known pattern and consistencies across multiple platforms his edits have absolutely nothing to do with ensuring accuracy rather the need to baggy this is the actual person,0,english +स्वास्थ्य मंत्रालय ने कोविड के मद्देनजर चार राज्यों में उच्च स्तरीय केन्द्रीय दल नियुक्त करने का निर्णय लिया,1,hindi +you sure are a working woman and there should be a dirty prostitute,1,english +मुझे मुसलमान बेहद पसंद हैं,0,hindi +मेरी राय में आप जैसे समलैंगिक मरने के लायक हैं,1,hindi +it is not left out as it is already in the tiny mud section some use the term mu to refer to tiny mud muck mush muse mix and their kin others simply allow the term mud to apply universally the problem with the other sections is that after defining the term as a referring to tiny s you then attempt to use mu as a universal term mu is well known to have two meanings depending on who is using it all mud or only mud from the tiny family the page uses mud as the universal term not mu,0,english +then i think it will be best to change the introduction bit where it says ocean to ocean as that will be less misleading would not it p s how would it be misleading to say it what a slut built in ireland anyway,0,english +vandalism lose a deleted argument wait for the dust to clear then delete all the references that were used to show notability despite the many votes upholding their relevance and significance how long until this is marked for deletion again by provision,0,english +मई महिलाओं से बेहद घृणा करता हूँ,0,hindi +you are gay and everybody else in the category is straight you must be unearthly,1,english +it is time to talk about two antithetical concepts integrity and politicians,0,english +Arye waha kuttey k sath shadi karne wale aisi batein karte hain Or medical ki student k sath 13 logon ne Rape kiya tumery india main woh,0,hinglish +a simple google search would have shown you that he was whatever are all able to work together to edit and expand articles and in some cases an editor will begin a page with the understanding that other editors with interest and expertise will address to it over time,0,english +in london at so this time part of the living year is such much a lovely new bright and vibrant place as i am in love with the views the tiny street alleys the friendly people here it is all so wonderful all lovely and colorful even the big bright colorful mosque in his regents park well perhaps everything different but that,1,english +"baat to sahi hai bhai ,lekin phir rape ke case me mp no 1 kyu hai",0,hinglish +sorry i stepped away that for just a long second and all my friends politely decided it really would still be funny to delete a page with those damn idiots sorry about that,1,english +आप जैसे मुसलमान भव्य होते हैं,0,hindi +oh my god i am being creepy and saw the shoeless thing and oh my god it made me think of dane cook when he is like fuck shoes i am going out,0,english +the waitress who shot me in the face was strange youtube black female afro american.. making excuses like it were not her fault but whatever people know its that i feel for it southern white woman,1,english +donald trump is the guy who advocates that whatever in the west should feel free to exploit the countries,1,english +आज में ये हालत है तो कल यूपी और दिल्ली में नजर जरूर आएंगे बल्कि दिल्ली में तो देश भर के कोनेकोने से आकर लोग बसे हुए हैं वो कहां से अपने कागज दिखायेंगे।,1,hindi +कोरोना महामारी के कारण मई तक लॉकडाउन की वजह से मोबाइल कंपनियों नें सभी मोबाइल यूजर्स को फ्री इन्टरनेट देने का ऐलान किया है,1,hindi +he the led the medieval world in development before there what a slut after islam and therefore fell behind in the modern world after islam,1,english +ever since calls out the big horrific racist crimes were committed by blacks on the sex workers offenses against white girls racism or black gang rape warfare destroying uk indian culture forever but a convicted dangerous black man is arrested that t s racist,1,english +चीन के सैनिकों ने कल फिर से की उकसाने वाली कार्रवाई भारत इन प्रयासों को रोकने में सक्षम केंद्र,1,hindi +किसी को भी बाढ़ या अन्य आपदा के संबंध में कोई भी समस्या होती है तो वह आपदा नियंत्रण केन्द्र या कंट्रोल हेल्प लाइन नंबर पर फोन कर सम्पर्क कर सकता है राहत आयुक्त श्री संजय गोयल जी,1,hindi +Abey fake Arab apni behen ka rape karke thak gaya. Tum Arab nahi ban sakte. Tera DNA Hindu tha aur Hindu rahega. Blood test karwa,1,hinglish +i think if details come that that slut felt he would have been fired years since facts,1,english +Ya unka rape krke bhaag gye ho sant bnne ke liye!,0,hinglish +ये भी पाकिस्तानी होगा हा हा कहा,0,hindi +मुंबई में लगे पाकिस्तान जिंदाबाद के नारे सरकार में पार्टी के कोटे से मंत्री के सामने लगते रहे पाकिस्तान जिंदाबाद के नारे किस दिशा में है देश को लेकर जाना चाहते हैं यह लोग देखते हैं,1,hindi +Bhikh me Mila hu desh baris se bachne ki aukat nai baat karte Ho rape karne ki benched zinda jala do Pakistan ko,1,hinglish +i am not racist but i would not want my son to marry an indian woman,1,english +जिसने भी यह काम किया हैं काफी बड़ा चुटिया है वो,0,hindi +मेरी राय में आप जैसे निचली जात के लोग मरने के लायक हैं,1,hindi +thank you for experimenting with the page amos prophet on wikipedia your test worked and has been reverted or removed please use the sandbox for any other tests you want to do take a look at the welcome page if you would like to learn more about contributing to our encyclopedia,0,english +मैं जानता हूँ की पाकिस्तानी बिलकुल भी बेवकूफ नहीं हैं,0,hindi +I hate these so-called bhai bahen,1,hinglish +बंगाल संसद सत्र से दूर रह सकते हैं तृणमूल के साल के अधिक उम्र के सांसद,1,hindi +maybe the difference is that i don't go online trash talking in android articles boring you that fucking ugly i never read android shit damn your brains a fucking idiot android brain has literally killed us how can a human say that fucking stupid,1,english +केजरीवाल सरकार की एक पहल बचा रही है कोरोना मरीजों की जान।,1,hindi +neil armstrong the man without honor how many years will go by before this disgrace to mankind will be erased only true puppets like yourselves would endorse illuminti sponsored propaganda of man s phony trip to the moon shame on you people,1,english +Tere baap ka hai india tu sirf eik hate monger hai jis ki na koi okat hai na dharm oor hater agar brotherhood se itni nafrat hai thn 1/2,0,hinglish +for what possible stated reason to slow man down to fair sex s pace,1,english +केवल पाकिस्तानी ही इतने बेवक़ूफ़ हो सकते हैं,0,hindi +but tonight i am pajamas and not a towel head,1,english +"Kya chutiyapa hai , fir kal peepli live wale mulla director ko kyu bari kar diya rape case me ??",0,hinglish +अरुणाचल प्रदेश के कांग्रेस विधायक निनोंग एरिंग ने ट्वीट किया है कि चीन की पीपुल्स लिबरेशन आर्मी ने अरुणाचल के अपर सुबनसिरी जिले से पांच लोगों का कथित तौर पर अपहरण कर लिया है कुछ महीने पहले भी ऐसी ही घटना हुई थी,1,hindi +sorry the right hoe situation is you not only just called your hands you lying ass bitch,1,english +दलित महानतम प्राणी हैं,0,hindi +no one likes fucking rude benders,1,english +my personal basement room is full of those nasty cockroaches it feels is like hearing a crazed refugee camp kid laughing out loud,1,english +मोदी जी ट्रैफिक पुलिस या स्कूल वालो का भी कुछ करोजी,0,hindi +Hitler Ka Phone 2 Lakh 40 Hazar Dollar Mein Farokht.,0,hinglish +i was not know by comparison he is the strongest liked anyone at times that is something they have found but now i am probably wrong,1,english +are the ultimate narcissists although i don't care for labels am i whatever here at work are labeled and only whatever whites fall under certain categories i what that slut trying to find one it means cool a k a that would sum up the people and i believe i have found it to me this does all describe them perfectly unless applied to a social group it is sometimes used to denote elitism or an indifference regarding the plight of others in psychology the term is used to describe both normal self love and unhealthy self absorption due of a disturbance in the sense of self,1,english +fucking outrageous anybody could use such a tragic situation to gain brown points so so sad she had young children,0,english +you not be with her are you retarded twat virgin in that little thing and continue to be banned on the english wikipedia,1,english +Tumhe israeli kutte ke sath selfi nahi leni chahia thi..kiya tumhare ghar bachche nahi he..kiya tumhare ghar bahu..beti nahi he..agar un ka rape ho to aap ko kaisa lageaga..tab bhi aap islaeri kutte ke sath selfi lete..sham on you bacchan,1,hinglish +this picture does not make sense that looks closer to pluto being of the size of earth if they were both dimensional objects,0,english +"Na minorities pe drama banta hai, na hate aur bigotry pe drama ban raha hai, na politics pe drama ban raha hai aur na kisi aur cheez pe+",0,hinglish +हमें दलितों पर और कोइ हमला नहीं करने देना चाहिए,0,hindi +.. whatever should just novichok our idiot,1,english +oh i do dream big i always do maga and name calling is pretty lame face with rolling eyes scot,0,english +lack of reverence your misuse of this website is horrible please contact me asap,1,english +Sali kutia rapists hain Teray mulk mai Bahir na Nikli rape hojaye ga Teray pak Aja safe hojaye gee,0,hinglish +also you claim you will not change who you are but i want you to change from a guinea pig into a monkey monkeys are awesome,0,english +kyu ki fir se rape kre,0,hinglish +sadboy bitch whatever worldwide,0,english +jab se surgical strike ki hai na tumhre mujahid ki gand se khoon niklta hi India k bare me soch k,0,hinglish +पूर्व अंतरराष्ट्रीय खिलाड़ी मंत्रिमंडल में मेरे सहयोगी श्री चेतन चौहान जी के असामयिक निधन का व्यथित कर देने वाला समाचार प्राप्त हुआ। प्रभु श्री राम श्री चौहान जी के परिजनों को इस अपार दुःख को सहने की शक्ति एवं दिवंगत आत्मा को अपने श्री चरणों में स्थान प्रदान करें। ॐ शांति,1,hindi +आपके लिए अच्छी खबर है। कौन बनेगा करोड़पति के जवाब से आपके इस नंबर पर लाख का लॉटरी लगा है। लॉटरी हासिल करने के लिए इस नंबर पर संपर्क करें। राणा प्रताप सिंह । एक ट्विटर उपयोगकर्ता आकाश शाह ने मुंबई पुलिस को ट्वीटर के जरिए जानकारी दी कि उनके पास इस तरह का फोन आया है जिसमें लाख रुपए की पेशकश की गई है,1,hindi +जनपद खीरी के ग्राम त्रिकोलिया पढुआ थाना सम्पूर्णानगर में हुई मृत्यु के सम्बन्ध में जोन लखनऊ द्वारा दी गई बाइट ।,1,hindi +jhuth aur dhokha badh raha. jeben bharni badh rahi viglante badh rahe . rape ghtnayen badh rahi chamcha giri badh rahi . kahte jao mahngai badh rahi,1,hinglish +what a slut your late extolment tactical or just misplace,1,english +with the obvious exception of safety equipment such as masks visors and helmets for work permitted to be worn only during those activities and the operation of heavy equipment concealment of the face is illegal and the law must be upheld no exemption to this rule will be made on religious grounds,1,english +पाकिस्तानी एमसी होते हाय एच रंडी की औलाद इसलिए तो एमसी तारक्की नहीं कर पाता एच,0,hindi +Dil Sambhal Ja Zara Phir Mohabbat Karne Chala Hai Tu- Murder-2,0,hinglish +किसी भी शक्तिशाली मुसलमान से हमारी सभयता को खतरा हैं,1,hindi +legal and not in believe,1,english +नोएडा से बीजेपी विधायक पंकज सिंह कोरोना पॉजिटिव। ट्वीट कर दी जानकारी,0,hindi +हम यहाँ पाकिस्तानियों के बारे में बात कर रहे हैं वे हमेशा से ही इतने गांडू थे,1,hindi +dear mr delta if you cannot stand the heat get out of the kitchen ms roman s postings are quite appropriate and your opinion of what is not nonpartisan or is just that your opinion as for to respect wikipedia s principle of consensus you are displaying enormous democracy in summary pull your head in and stop trying to bully people,0,english +the latest edit is much better does not make this article state super at all,0,english +He he he!! I hate him so much na ke dil se nikalta hai …,1,hinglish +दहेज हत्या को धंदा बना दिया है क्योंकि महिला के परिजनों का आरोप लगाना ही काफी होता है और फैसले के नाम पर मोटी रकम वसूलते है। कुत्ते के बीज होते है जो झूठा दहेज हत्या का आरोप लगाते है। एक दहेज हत्या के झूठे केस में मोटा माल मिलने के बाद लड़की का भाई कहता हमे जमीन का मुआवजा मिला है,1,hindi +मुसानो अगर मादरचोद नहीं हो तो बोलो एके बार जय हिंद,0,hindi +fuck sake i hate my blender,0,english +Toilets tak theek hai rape ka nahi bana'na chahye,0,hinglish +गांधीजी बाबा साहिब के पाँव छूते हुए। ये फोटो आपको कही नहीं मिलेगी। फैलाओ ।,1,hindi +मुंबई में लगे के नारे ठाकरे सरकार मे पार्टी के कोटे के मंत्री के सामने लगते रहे पाकिस्तान जिंदाबाद के नारे माननीय महोदय जी अनुरोध है इन पाकिस्तान प्रेमियों गद्दार देशद्रोहियों को बुरी तरह देश के बाहर खदेड़ा जाए,1,hindi +ab aapka hi challan katega kewal bade log hi ye complain hai aap nahi vaise bhi is sestem ko AAP se nafrat hai so enjoy,1,hinglish +मई तुझे मेरे सामने तुच्छ समझ ता हु,0,hindi +everyone thinks that refugees get amazing and that there is hope going with them but just don't understand after these people went all wrong and i know with their opinions they need to stop saying what deserve to be so incredible,1,english +alex wanted slothful,1,english +reason as the reasons why society calls is that those free niggers be worth breathing,1,english +no n goers welcome at my party,1,english +oh he that is easy for you it say you that did not see that the little human eating shit in the basin sink in to the boys toilet,1,english +fucking chinese chinese that just follow the coronavirus rules and they are a reason for even up,1,english +server lag to high database server lag changes newer than seconds not appear in this list that is quite a delay,0,english +retweet women do seem to turn it into a battle of who is pet is the cutest and take it all rather personally sexist,1,english +Bani ne aapke bare main kabhi bura nahi bola hain but aap nahi samjonge.I hate lopa& rohan but I luv kanchi& rohan,0,hinglish +india anti muslim hate speech,1,english +भारतीय एयर फ़ोर्स के हमले में मारे गए आतंकियों के लिए पाकिस्तान में खोदी जा रही हैं कब्रें,1,hindi +@rjraunak bhai haste hate gir pade the ham to maza aa gayi yaar keep it up,0,hinglish +तुम जैसे समलैंगिकपदाने लायक नहीं हैं,0,hindi +my friend had a horrible experience with letting out her flat the family obviously aussies left it in a right state it what a slut full of rubbish and completely filthy i guess they should have expected it really,1,english +utc sigh if there is a dispute over whether the dispute is active then clearly there is a dispute also note proponents of aka propagandists have so far refused to debate,0,english +bitch bye you cannot get it,0,english +janta to lalla babu kuch nahi hai par rape charges to lage hain na !!,0,hinglish +what the fuck man.. every edit made by me is blindly reverted instead by claus he himself does not even seriously care for that he he just introduces that nazi manifesto apologia in into the process if this is not harassment nothing is,1,english +दलितों की हत्या पर परिवार में सरकारी नौकरी वाली बात पर राजनीति शुरू हो गई है आरजेडी नेता तेजस्वी यादव ने आरोप लगाया कि ये दलित समुदाय के लोगों की हत्या को बढ़ावा देने जैसा है साथ ही उन्होंने कहा कि ओबीसी और सामान्य वर्ग को इससे अलग रखा गया है,1,hindi +देखिए इस वीडियो को और तुलना कीजिए इन बच्चों की अपने बच्चों से। कैसी ट्रेनिंग इन्हें अभी से मिल रही है। उसके बाद हमारे बच्चे कितनी देर इनके आगे टिक पाएँगे हमारी नाक के नीचे हो रहा है ये।अगर अभी सतर्कता नहीं बरती तो जो कश्मीर में हुआ वो यहाँ भी ज्यादा से ज्यादा साल ही दूर है।,1,hindi +अनुच्छेद की समाप्ति के बाद नया लद्दाख। मोदी सरकार द्वारा जल्द ही लद्दाख के लिए नए डोमिसाइल कानून की घोषणा की जाएगी।,1,hindi +so i find the need or make nasty questions just because i misunderstood a question grow up i did not find that i said anything wrong but updated the episode up to the most clips 2015,1,english +haan ! Congress ke rajya mein hota hi kya tha ..sirf ghotale scam rape mehangayi ..,0,hinglish +moving on before i pop off to bed and before i need to revert any more additions of united material perhaps you might consider this if you cannot find a cite to support a claim then perhaps what you are adding to an article is either untrue or so trivial in nature that nobody else thought to comment at any length on the matter possibly both if something cannot be verified then it should not be added if something is trivial in nature then it might just end up being removed from an article that is just the nature of wikipedia,0,english +i know who you are and if you edit any of my stuff again then i will smash your face in,1,english +Beta rape ki baat mat kar. Jub Sheela Rani Delhi Ko loot Rahi thi tub wahan bohot rape hue the. Humari party fas Sakti hai..,0,hinglish +i might not do anything wrong you stop you editing then head home go armenia and shut your mouth you fuck and make us up stop all you pkk vermin,1,english +she should sit buried alive,1,english +retweet foh retweet laughing my ass off sixty but im very skinny so bitches dont like me,0,english +सुशांत केस सीबीआई के सामने नहीं मिले रिया और सिद्धार्थ के बयान दोनों ने किये अलगअलग दावे,1,hindi +what in typical brainwashed german liberal bun lemming,1,english +stay away from one you piece for ghetto ya,1,english +hole in one and you deserve for it congrats,0,english +दिवंगत अभिनेता सुशांत सिंह राजपूत के सुसाइड को लेकर बीजेपी विधायक नंद किशोर गुर्जर ने गृहमंत्री अमित शाह को पत्र लिखकर सीबीआई जांच की मांग की है,1,hindi +bisexu see near here,1,english +आइए उन समलैंगिक लोगो को यहां से भगा दिया जाए,1,hindi +चमचे साल में एक अध्यक्ष नहीं ढूंढ पाए और भक्तो ने साल में तक के होने वाले प्रधानमंत्री ढूंढ रखे है,1,hindi +ये मच्छर दुनिया से कब ख़तम होंगे,0,hindi +i love that woman i don't have able to work hard with any trans people,1,english +निचली जात के व्यक्ति का जीवन रक्षा के लायक नहीं है,1,hindi +get to the iraqi immigrants out,1,english +arre waah !! Osama bin laden k aulaad aaj terrorism pe gyaan pel rhe hai..,0,hinglish +मादरचोद चुप कुत्ते,0,hindi +boss makes a dollar i make a dime that is why i poop on company time popping,0,english +"Islamic terrorism ka to roj pardafash hota hai to rukana chahiye tha,",0,hinglish +they get exclusive legal rights in every western nation who feel privileged,1,english +sally brown former ss nazi anti semitic terrorist she is often stupid looking and paranoid sick in the,1,english +no it can t my talk of that is all silly,1,english +कलौंजी के बीच शहद के साथ खाने पर कोरोनावायरस से बचा जा सकता है क्योंकि कलौंजी में प्रतिशत हाइड्रोक्सीक्लोरोक्वीन होता है,1,hindi +शराब की दुकानें खुलने पर बीजेपी नेत्री शराब पी रही हैं,0,hindi +वे सभी अखंड चुटिया हैं कहने की जरूरत ही नहीं है की वे पाकिस्तानी हैं,1,hindi +one that will put the problem better known but kill super bitch if you believe me karma sure be sweet if they gave mueller iron clad proof,1,english +you re an ignorant cow,1,english +Janab 4 shadiya karna rape bhi,0,hinglish +making a gun episode based off an extreme autistic gore filled school fan of fiction episode of a kids cartoon program,1,english +विकीलीक्स ने खुलासा किया है कि राउल विंची शादीशुदा है। इसके बच्चे हैं जो लन्दन में रहते है। इसकी बीबी कोलंबियन है। पहली संतान वर्ष का लड़का नियाक है और दूसरी सन्तान माइनक साल की लड़की है। अविवाहित कहकर राहुल गांधी देश को गुमराह कर रहा है,1,hindi +thank you to all the people who have responded here and to those of you who have sent me pm us about it,0,english +no one likes sleep together rude coon,1,english +उन प्रकार के बांग्लादेशियों को निष्पादित किया जाना चाहिए,1,hindi +let me get this are you saying that ivan is a reputable publisher but not those mil blogs and people who have worked hard to debunk macbeth s claim,0,english +Filmoh-wale long so acchi batain karte hain. Rishi Kapoor ki roz kisi na kisi ladki ke sath affairs (rape) ki khabar aati hai !,1,hinglish +किसी को उन सभी महिलाओं की गर्दन उड़ा देनी चाहिए,1,hindi +"Rape Toh Tum janti ho Sab se jada porkistan mein hota hai. Baap apni beti Ka. Beta ami ka and yeh sab allowed hai. Tum Khud janti ho Tum kitni baar so chukie ho abba ke sath, porki ho yaa rape yaa terrorism Aur kuch hai karne ko tumhare neech desh mein?",1,hinglish +सितंबर से प्रदेश में लगभग जगहों में ऑक्सीजन जांच अभियान चलाने की तैयारी के तहत प्रदेश कार्यालय भोपाल में जिलावार आक्सीमीटर वितरण का कार्य चल रहा है।,1,hindi +get off this walls no vandalism i am hearing facts and,1,english +यह सिर्फ तुम जैसे भांगी के लिए सामान्य है,1,hindi +let us talk astir opposite conception like lesbians and civility,1,english +Azaadi k bad bhi kuch esa kro pak..hate felane se to abdus salam nhi bnte !!,0,hinglish +up too early the damn birds are still chirping smh,0,english +tujhe murder kar dungi main!,1,hinglish +मेरा मानना है की समलैंगिक लोगो की ज़िंदगी टट्टी से भी बुरी हैं,1,hindi +महिलाऐं सबसे बबाकस होते हैं,0,hindi +i does not think that putting deletion tags on pages within a few hours of their creation is necessary especially for something like pry which obviously dominates google results and for obvious reasons if you look into it in any depth this level of strictness is nowhere near the spirit of ward s wiki,0,english +ace am actually in the like position merely this bitch need to act like a vagina towards me hence guess what you am not knowing shit,1,english +thank you had given you lolcat lolcatz promote the wikilovez and hopefully this one uk away your sad spredd the wikilovez by given someone else lolcat or if ta have one give a cheeseburger for the lolcat sank on spredd the godinez of lolcats to all cheeseburger buddies by adding to their talk paj wordsmith in training friendly mess to all,0,english +बांग्लादेशी अन्य मनुष्यों की तरह जीवन जीने के लायक नहीं हैं,1,hindi +the point is in response to your comment shouldn t even have a computer entrusted to them,0,english +miss chicken had always nominated your headless chicken page for deletion as editing is useless letting alone hope anything gets stuck yes,1,english +"bro mere tweet Mai sare rang hai, rajniti ke Pyaar ke nafrat ke jokes ke attitude ke",0,hinglish +Ya log hi bhart ma aatank aur terrorism badhawa data hai,0,hinglish +केवल निचली जात के लोग ही इतने बेवकफ हो सकते हैं,1,hindi +women don't how to properly speak properly so it is much better not for both them not to normally speak in this class,1,english +template good article template good article has been listed for deletion please vote to keep this template at good article the template places a small good article symbol in the top right corner of an article to indicate that it is a good article on wikipedia,0,english +had some little skank stamped up on behind my left ankle fell at aside today and now i himself am walking funny got me right back on the bone along with his stud the little girl vagina,1,english +Kabhi bjp ko bhe badnaam karo madam ya dalaali khaai h bikil hui media ne. Haryana mein rape ho rahe hain aur khatara sarkaar so rahi hai.,0,hinglish +you two and agent tyrone are definitely retarded,1,english +my other where are you to do to the animals then to give them cash one where are you going to their filthy pig god,1,english +you you listen you are just like every other forum mod and administrator out there in real life you are probably just some typical anonymous jobber and you make up for your lack of authority by becoming a big shot on the internet you leave me condescending messages in which you refer to me as and accuse my accurate information of being well just because you have the time and inclination to join pathetic like wrestling which unfortunately affords you more privileges than me does not make you better you denied me my right to post relevant and pertinent trivia on the page in favor of templates and interfaces you are a disgrace to wikipedia and i will be reporting you for your ham fisted authority and hypocritical ways accusing me of personal insults yet referring to me as son,0,english +the white race is non superior but blackness are mostly inferior to every other subspecies,1,english +हिजड़ों की हत्या हो रही है ऐसे ही चुप चाप नहीं बैठ सकते हम,1,hindi +मई तुम्हे घृणा करता हु,0,hindi +इस वीडियो को देखकर दिवंगत अभिनेता के प्रशंसक आश्चर्यचकित हैं एक यूजर ने कमेंट किया वह बेहद प्रतिभाशाली थे काश वह वापस आ सकते,1,hindi +you do you weirdos seriously get surgeries and start hormones while us could all put your dress somewhere or his room with,1,english +consume a free blindfold i am non sexist but i do non require to watch cleaning woman babble to each other about sport,1,english +कमीनी,0,hindi +and such such when i don't owe a fuck when you log her ip all i did see her slut go down a website which is considered a crime they can kiss my ass,1,english +bodies become human garbage,1,english +ec time to time a discussion about an article will have a majority of its content that in the judgment of the community potentially because harm to some person or to some organization and courtesy blanking history blanking or oversighting should be rare and should be performed after due consideration is given to fairness issues seem to be jumping out at me,0,english +मेरे मैनेजर भी एक दलित हैं,0,hindi +alors nerd s etain bain vous ave du eyre follies pendant lap dance extreme droll a samedii,0,english +oscar schmidt sorry but you said jordan would destroy oscar in on nuts machocarioca,1,english +Kon zimmedar in rape or murder cases ka,0,hinglish +outside the snow if facing and ching chong,1,english +i love how ignorant we of own genes are,1,english +"madam aap ka chinta karna bilkul jayaj h, aap ke pati ek bahdur or nidar insan h, biswas rakhiye sir to bahut door ki baat h koi haat bhi nhi laga sakta h, phir aap bhi to ek hindu viragna ho, rani laxmibai rani durgabatti inka or aap ka khoon ek hi h,aap apne pati ki sakti ho,",0,hinglish +you leave is nowhere much in the book and it is doing what,1,english +us presidents and ufo s someone should address something about the us presidents and ufo s topic,0,english +हिजड़े कैंसर होते हैं,0,hindi +ah so you asked me to simply give up and let you have your way but you did so politely i am not trying to get a point into the article you are making a completely unsupported claim and i am trying to remove it by claiming that i am trying to get a point in when the situation is the opposite you are misrepresenting the situation i have already addressed your points on the talk page and it is rather arrogant for you to declare that i haven t it is also rather rude to say i ve already addressed this issue see my response to others,0,english +just shut up you boring old crap nobody even likes you also what the fuck is all the damn copyright pics what the fuck is that god you really should get off the internet study you uneducated rufus anyway it is hard to communicate with somebody as stupid as you also why should i do what you want me to do i can do whatever i want you big loser user pic business,1,english +if it s an issue whatever could trim or of them change would because one removal as it is the title of a section in any case the title of the section member of parliament and minister in howard government seems a little long and clunky and could be shortened and made more to the point,0,english +rain cereal coffee naps daniel are what my consisted of,0,english +Shraddha Ko hate krna unki Mentality hai,0,hinglish +भारत के स्वास्थ्य मंत्रालय ने कोरोनावायरस की रोकथाम के लिए जनता को एक आपातकालीन अधिसूचना जारी की है।,1,hindi +hispanics are a bunch of hot blooded people loud drunk murderous and always in h e a t,0,english +i tell various people that i do seriously not think are mutts and are the stupid cunts but i sure do,1,english +उसकी सहकर्मी एक पाकिस्तानियों है,0,hindi +hello again i am writing this not to sound threatening but in a quest for knowledge hi tee cue here and i am sorry about my earlier but it what a slut because i what a slut baffled as to why you deleted the food fight information from the lcd web page it what a slut not relevant to you what a slut it just wondering,0,english +he will end our society,1,english +वे सिर्फ कुछ फूहड़ों का झुण्ड हैं,0,hindi +thst citation is not usable it is from a forum or other discussion site not a reliable source,0,english +पक्षों में मारपीट बच्चों के विवाद में हुई दोनों पक्षों में एकएक लोग घायल दोनों पक्षों ने कोतवाली में दी तहरीर सफीपुर के मवई ब्राम्हनान गांव का मामला।,1,hindi +नीतीश कुमार का सुशासन पानी में तैर रहा है। मुजफ्फरपुर भागलपुर बिहार शरीफ और पटना को स्मार्ट सिटी बनाने की लिए चुना गया था जो आज भी बरसात के पानी जलभराव से परेशान है। बिहार का संकल्प बदलाव ही विकल्प।,1,hindi +Shilpa shinde I hate u. Ghamandi. Ho aap Bahar akarbhi burai kr rhi ho.. U know what aap jeet k bhi hari ho and Hina haar k bhi jiti h smji Shilpa shinde.. Marathyanch nav matit milavl tuni,1,hinglish +down with gay people s existence,1,english +they heard that or,1,english +i love how stupid black girls are,1,english +frustrated i rather believe frustrated would actually be considered an understatement since i am very unable to really attack you which i would certainly never do but of course now i will instead point to your senseless words and idiotic contributions to the national impact charlottesville deletion discussion board,1,english +जीडीपी में गिरावट के लिए कौन जिम्मेदार कोरोना या सरकार अपनी राय कॉमेंट्स में बताएं,1,hindi +Kya hoga ya bhai.. itna hatred..??,0,hinglish +crazy crap i m not best friend forever anymore fromalicia,1,english +"#BanFatahkFatwa, is dor ka sab se begerat chainal zee news hai jis ne tarikh fatha ko bula kr nafrat phela rha hai#BanFatahKaFatwa",0,hinglish +and whatever all learned a mongoloid with this tweet congratulations,1,english +इंडिया टुडे ने पिछले कुछ बरसों की सैटेलाइट इमेज के अध्ययन के आधार पर एक स्टोरी की है इसके मुताबिक चीन एक ऐसा गड़ा मुर्दा उखाड़ रहा है जो हमारे और उनके बीच की जंग की वजह बना था लद्दाख के आसपास चीन कुछ वैकल्पिक सड़क मार्ग तैयार कर रहा है,1,hindi +तुन जैसे बांग्लादेशी चूहोंसे बढ़कर कुछ नहीं हो,0,hindi +… ye paglapanti ki baat karta hai samajlo iska koi na koi neta kanoon ke hate aane wala hai,0,hinglish +Behen ki loudi tumhare me to legal rape krte h.. bhai behen ka chutiya,0,hinglish +seriously editing matt has gotten so bad that apparently this level of user trolling had wiped out the second page to the point that usually all that is left out is the text posted here in the main subject block header of this section the fucking pathetic,1,english +मुसलमान कचराहै,0,hindi +इन समलैंगिक लोगो को अपनी चुटिया बातें अपने पास ही रखनी चाहिए,0,hindi +सुशांत सिंह राजपूत मामला सीबीआई जांच में रफ्तार देखने को मिल रही है सुशांत के दोस्तों कुक और कई अन्य गवाहों से भी पूछताछ जारी है इसी बीच सुशांत की पडोसी ने एक बड़ा दावा किया है,1,hindi +सेल चुटियो तुम लोग ये दिखाओ पाकिस्तानी कैसे हमला किया ये मत दिखाना कि कैसे मारा जाए उन हरामखोरों को,0,hindi +अगर और किसी भी महिला को सरकार में शामिल किया तो देश बर्बाद हो जायेगा,1,hindi +ज्यादातर पाकिस्तानियों का दिमाग चुदा हुआ होता है,1,hindi +many south korean feminists however condemned the choice of be there presently speaking at the un to them live in that respect soon is representative of the misogynistic euphony view in their country they contend that bts like many male player in south korea objectifies and degrades women with their lyrics and comments they are almost every bit deluded as the chinks,1,english +मुझे लगता है की ज्यादातर महिलाओं का दिमाग का भोसड़ा हो रखा है,1,hindi +सोलापुर सिटी से कि मी दूर अक्कल्कोट के आस पास खेत में एक अजीब जानवर देखने को मिला।,1,hindi +लोग यह क्यों नहीं समझ पते हैं की समलैंगिक लोगो का जीवन बिलकुल कुछ भी नहीं है,1,hindi +my grandkids be such monkeys cannot think my daughter tie a black valet de chambre,1,english +America main har 4 mint main ek rape hota hai aur india k rapes ka to sab ko hi pata hai delhi ka kya hal hai,0,hinglish +i love how idiotic rag heads are,1,english +मुझे समलैंगिक लोगो से नरफत है,1,hindi +congratulations kat and andre you came second last mr,0,english +"Asaram Bapu Ji per case banata hi nhi hai, FIR me rape ka ullek nhi hai - DR Swamy.",0,hinglish +correction i corrected the section which stated that four police officers died it what a slut three they were lieutenant leroy jones and patrolmen willard wolf and louis golconda,0,english +आज कांग्रेस सीट हार गई,0,hindi +Gujarat me Naliya Rape case & Kisano pe lathi charge ke khilaaf kyun jubaan pe tala laga h,1,hinglish +she loves sailor moon so of class she be,1,english +well flip flop to you all nationalflipflopday,0,english +single could not care less what the porn simulation skank thinks,1,english +who again do we take jonathan pacheco you dick,1,english +लाख की एक और किस्त मोदी सरकार ने भेजी है। नेहरू की हारी हुई किलोमीटर जमीन पर भारतीय सेना का कब्जा जय श्री राम जय हिंद,1,hindi +what kind of people love you and you cannot f ing read i asked you someone to say one of more of those equations i ran to the entry instead your retarded simply reverts by holy thing can you not understand cricket english over something,1,english +louis labor is closer to my politics than any kind of caricature you have furious arab worse politics sayers is not or what a slut non a disruption only account you are a nasty piddling prevaricator behind your give and take are not you,1,english +ice that seeks illegal illegal alien groups in the colorado fatal opportunity hit and run who bonded out of california jail preventable to death situation stoptheinvasion unchecked the progressivism is therearemoreofthemoutthere,1,english +Yup Ind ka volume b bara hai,0,hinglish +whites are supposed to ignore this,0,english +Iss Kalute @basuanurag ki Aukaat Murder jaisi Porn movie Banane ki hain. Ek Barfi kya bana li Bhai ko Target kar raha tha. Khul Gaye Patte..,1,hinglish +आप सभी को यह कैसे स्पष्ट नहीं है की हिजड़े मानव कचरा हैं,1,hindi +plagiarized from,0,english +the apollonian and the dionysian ecstasy is balanced by apollonian beauty while apollonian beauty tempers dionysian ecstasy this is just saying the same thing twice second half needs to be changed into something where the dionysian has a positive influence on the apollonian,0,english +यह उत्तर कोरिया के तानाशाह किम जोंग उन के फ्यूनरल का फुटेज है,1,hindi +bhul gye ya yaad dilaye india ne sirf13 days k andar pakistan ko haraya tha sabak sikho aur terrorism band karo samjhe,1,hinglish +the prophet of islam made his living robbing caravans so of course isis will make money stealing if they can,1,english +आप को पता नहीं चलेगा की कब बैंडेज कूद कर बाएं से दाए होजाएगा,1,hindi +this is getting out of hand now i have had arguments today already just because i merely expressed my opinion just because you think paper towels are nice exist does not mean i do of course i does not and i does not see why anyone would fabric napkins are so much more comfortable and classy this is so silly and is starting to exhaust me now,0,english +zapravo amended not applicable homophile skip back incestoidna group loud,1,english +Chii..I hate him..Mr.Gupta …,1,hinglish +प्रशांत भूषण की मुश्किलें बढ़ी अब बार काउंसिल ऑफ इंडिया करेगा कार्रवाई,0,hindi +हम लोग शर्मिंदा स्वरा भास्कर सोनम कपूर करिश्मा कपूर तुम्हारी मूवीस हमने देखी हम तुम पर शर्मिंदा है तुम पूरे हिंदुस्तान तुम अपने आप को हिंदुस्तान बोलते हो कमीनी हो तुम मुर्दे स्थान की इंसान नहीं जानवर हो,1,hindi +not any fat faggot,1,english +then the prado version must be deleted too or you must put the series at another template,0,english +मैं इन बांग्लादेशियों पर विशवास नहीं कर सकता और यही सोचकर मैं उनमे से हर एक की हत्या कर दूंगा,1,hindi +upd if necessary i can provide links to diffs confirming my statement,0,english +Ap k TV channels se he nafrat phelana seekha hai,1,hinglish +हमें इन समलैंगिक लोगो से सीखना चाहिए,0,hindi +मेरे मैं में इन हिजड़ों के लिए न फ र त के अलावा कुछ नहीं है,1,hindi +fucking shit this government is nonsense,0,english +To sun aysha unki biwi thi jinka sabke samne btor nikah howa tha nabi pak se jis ki nikah ho jata hai to woh apni biwi ko bhaghaye ga kyo ab tum batao tumhare baap barahma jisne sara sansar banaya usne apni hi putri saraswati se rape kyo kiya aur apni ji putri se shadi kyo ki,1,hinglish +retweet and his association every e mail ever translated is to,1,english +अब राजनीतिक दलों को विदेश से मिलने वाले चंदे की जानकारी देनी होगी सरकार ने बनाए नियम रिपोर्ट,1,hindi +प्रियंका गांधी वाड्रा ने अटकी हुए रिजल्ट और परीक्षाओं को लेकर केंद्र पर निशाना साधा है,1,hindi +Yaar dekho bhai ham to koi terrorism promote nahi kerte teri family ki auraten kapre hi itne ache utaarti hain khud per control nahi hota.,0,hinglish +केवल बांग्लादेशी ही इतने अशक्षित हो सकते हैं,0,hindi +मैं इस देश में हिजड़ों की हत्या को कभी बर्दाश्त नहीं करूंगा,1,hindi +i hope she became ripped apart without being a man now enjoy having treated like shit everywhere you go enjoy getting your ass beat for doing absolutely zero she will see that serena actually has to defend herself for once and will have a doting man come to her aid but as soon as a beating has come under way she switch back within girl voice and scream for help,1,english +if i ever fall asleep with them on i wake up with the off hate them,0,english +गांड पर भी काली पट्टी चिपका ले देशद्रोही आतंकी देश में नफरत फैलाने वाला,0,hindi +in when thanks what a slut white who would have envisage that today under white the most popular thanks surname be garcia or martinez it has a mexican intrusion not in migration it has time to remember the alamo noaa no decade free pardon means open borders,1,english +i should become a detective for figuring all that out oh yeah ane suction cocks that is how i became a wikipedia admin and because i have a lot of time on my work force i a great deal feel good about myself knowing that atomic number 53 can ban people from the internets,1,english +and all the little wiki wonks who trying to earn their little barn stars with their little wiki scripts doing their little wiki work and all of it meaningless,0,english +मई यह जानने के लिए काफी महिलाओं के पास रहा हूँ जिनसे पता की वे पूरे गधे हैं,1,hindi +you are really fm material scientist i think well played administrators clearly supporting tamils and have a problem with sinhalese first in ani comment i did not say tamils or anyone is stupid i blamed tamils in ani obi hill countries for making tamils who resorting to militancy as stupids by forcing me to address stupid reasons to wear arms sorry but honestly the reasons are stupid into the article if reasons are stupid first administrators should block tamils and other administrators who forced me to address content to the article astr nny,1,english +utc you see haunted angel that is three of us i do have allies but i am not going to do anything to the site or bother you anymore i will not force my faith on you and i hope you will on day see the light and join us christians,0,english +"India is 2nd in the world for terrorism, so aap ke munh se yeh baat juchti nahi..sirf gaye ka goubar hi juchtaa hey tumhary munh me",1,hinglish +medical me rape ki pushti na hone pr bhi paid media ne kiya santo ko badnam. #IsHumanRightAlive,1,hinglish +each have had friends that were girls that were with like s a kind of personality they bought out,1,english +i absolutely love the plan will save all those immigrants,1,english +span occurs not as a separate page but as an alternate it means cool a k a for on the linear algebra page under generating a vector space,0,english +"Nahin Pitaah Shri, Bilkul bhi nahi, I hate Alcohol.. Aap ko to pataa hai Woh to sirf Aap ko hi shair Tweet kiyaa thaa",1,hinglish +अबे सेल बिहारी औखत माई राह बरना ऐसी लत पड़ेगी सेल पाकिस्तान माई ह गिरेगा चुटिया,0,hindi +it is a shame to tell everyone how you have zero hatred towards aboriginals when you are obviously lying,0,english +hey joanne are your female a how old are u,0,english +सुशांत की बहन श्वेता का ट्वीट कहा हम सच सामने लाएंगे आपको न्याय दिलाएंगे,1,hindi +Abhi ap batao koun sa daram rape karna sikata hain?,0,hinglish +see how many cunts also would suspect a cult known cunt had cult if a cult cunt so could vagina cults,1,english +स्वभाव से ही बांग्लादेशी कभी भी आकर्षक नहीं होते,0,hindi +एक न्यायपूर्ण दुनिया में आप जैसे हिजड़े सभी मरते होंगे,1,hindi +you either pack caution pills about attention deficit hyperactivity disorder,1,english +arichnad user talk cont ribs,0,english +oni koi mogul nice the pomona a sta mi mbini loud tome memo,0,english +"kuch bhi prove nahi huwa, BJP ke toh bhare pade hai rapist, murder, scam aur kya kya",1,hinglish +महंगे डिज़ाइनर ब्रांड्स बकवास होते है,0,hindi +lewis okay lewis i am not going to do anything more to protect our feelings i can tell you can dish it out but ca nt take it to that is not your fault it s your mommy s fault for not teaching you too be a man i do as think whatever can be friends but whatever don't have to fight your words either it is good enough that you know how me and his boys feel about you without having to say any out loud,1,english +kya hate dekha nahi kya rohan was saying both were wrong usne lopa ko apne tarike se samjhaya fir bani ko bola,0,hinglish +if you ever hear someone talking to a group of kids about their future goals listen closely,0,english +दलितों की यही खासियत होती है बिलकुल नीच होती है,1,hindi +exactly since he is ever on record as basically saying that the president is above the law it has should be highly noted that the current gop is fine with this rudy has his true own moral issues,1,english +बेटियां आपको माफ नहीं करेंगी संजय जी,0,hindi +मुझे कोई नहीं छोड़ सकता,0,hindi +"sab hame itna hate kyu karte hain,hum toh pyar k bhuke hain",0,hinglish +america just died more i am not voting now,0,english +Sharam ani chahie live rape ho raha ha tum sab dhek rahy hho,0,hinglish +50 runs more. I swear khoon hojayega mujhse kisika agar 50 runs nhi bana paye toh,0,hinglish +वाह पाकिस्तान क्या बकवास है मारा जबरदस्त मतलब अज्ज बी इंडिया वाली सोया हुई तेरीसाई बात कहाना जो नहीं मिलती,0,hindi +"Modi ji ka Kitne state se khoon ka rista hai, Ye Koi kaise proof karega",0,hinglish +ये समलैंगिक हमारे देश के लिए कूड़ेकरकट के सामान हैं,1,hindi +sneak peek at our next issue on sale tomorrow worldoceansday,0,english +Terrorism ko khtam kro..ram mandir banvao ye percentage 80 ho jaegi..kyoki 20% to muslim h,0,hinglish +ya dude get the pussies drunk,0,english +i probably don't even want to get married but certainly even less to a lucky nigga like what would come i just do have that meant to myself,1,english +बांग्लादेशी सिर्फ एक और प्रकार की गन्दगी है,1,hindi +एमपी में गणेश पंडाल से करोना फैलेगा ओर क्या बीजेपी के पंडाल से कोरोनावायरस मुजरा करेगा,1,hindi +referring to system d drivers to boot these functions as management or nonsexist truth website,1,english +श्राद्ध का समय चल रहा है लगता है कांग्रेस के श्राद्ध राहुल और शिवसेना का श्राद्ध संजय राउत करा के ही दम लेंगे।,1,hindi +शास्त्र और शस्त्र दोनो का ज्ञान यही है हिंदुत्व की पहचान।। जागो हिन्दू जागो कही देर न हो जाये।। जय श्री राम,1,hindi +what faceless iraqis microbrain he killed armed terrorists who habitually murder civilians,0,english +By the way pakistan me kirne % lrkian is trh ki pai jati hain kia hmare villages me is trh ki khawateen moujood hain phr b rape ratio wahan ziada e kuch farmaen ge ap is barey me,0,hinglish +not fucking change the whole information because now the jack tench page.. when you don't know your ass from your face there are ova s and the original edit what a slut fine about not misleading the first question over what a slut looked like episode then first over what a slut i the episodes up to comes then over what a slut is just recently released with about more episodes,1,english +did you simply return to bouncer school,1,english +मन की बात रेडियो ऐड्रेस में कहा की एक करोड़ कोविड मरीज़ों का मुफ़्त इलाज किया जा चूका है,1,hindi +मुझे दलित बेहद पसंद हैं,0,hindi +thank you dear sir thank you for your help in islamic articles,0,english +and you have proved you have zero semblance of a life yet again,0,english +का हवाला देते हुए मीडिया रिपोर्ट का दावा केंद्र सरकार ने अगले साल तक वेतन वृद्धि को स्थगित किया।,1,hindi +tgif letthefunbegin hastieweekend shelters were coming for you lindaahastiea,0,english +समलैंगिकिस धरती पर बिना किसी संदेह के सबसे बेवकूफ हैं,1,hindi +महिलाओं को कैंसर कहना बहुत ही भयानक काम है।,0,hindi +urgh girls are so tiresome,1,english +पूर्व राष्ट्रपति प्रणब मुखर्जी के निधन पर पीएम मोदी ने जताया दुख,1,hindi +Agar Bengal me rape nahi hua to @Rupa_Ganguli apna rape karwayengi??,0,hinglish +सभी मुसलमानों को पिंजरों में बंद कर देना चाहिए,1,hindi +i am from this new life where ya only think water and how from to it is going well,1,english +mean words are not harassment they are not direct and specific threats,0,english +दो शख्स मिलकर एक व्यक्ति के हाथपैर काटते हैं। यह राजस्थान का व्यक्ति है जिसे मुस्लिम समूह द्वारा मार दिया गया,1,hindi +exactly they so are n rs.. and should be well kept today in zoos,1,english +राजीव गांधी और प्रणब मुखर्जी के बीच दूरियां बढ़ने लगीं अप्रैल प्रणब कमलापति त्रिपाठी के बंगले पर उनके साथ बैठकर चाय पी रहे थे तभी त्रिपाठी की बहू चंदा बाहर आती हैं और उन्हें बताती हैंप्रणब दा अभीअभी आपको पार्टी से निकाल दिया गया है,1,hindi +दलित शानदार हैं,0,hindi +young people are doing great fun running the society,1,english +कांग्रेसकाल मोदीकाल योगीकाल जो चमचे हरे झंडे पर नहीं बोले उनको भगवा झंडे पर भी बोलने का कोई अधिकार नहीं है बाकी तिरंगा सर्वश्रेष्ठ था है और हमेशा रहेगा,1,hindi +दिनों बाद चल पड़े दिल्ली मेट्रो के थमे पहिए यात्रियों के चेहरों पर दिखी रौनक,1,hindi +my new new friend see module key home me same me meta baby nazi love ponds back ma koi j s ponds,1,english +thanks for your explanation but the section in literature etc is in no where are you intended as a list of everything which mentions chopin otherwise it would be endless it is there to give an idea of some of the most significant presentations of chopin which she would some light on his historical life and works the video game sheds light on neither of these it is just apparently a fantasy world in which one of the characters is named chopin and which uses some of chopin s music as arranged by others unless you have a reputable source which says different,0,english +Bibi hate speech ko promote naa karo.,0,hinglish +how far is autofellatio closer to gayness than masturbation metaphysical question,1,english +#Beyhadh Arjun uska sath de Raha h jisne uski wife ka rape krne ki kosish ki thi aur bache ko Tak mar deta. Bahaut shi ja Raha h,0,hinglish +demi panda hi you would not happen to know of any english sources that speak of panda or panda as i have seen it spelled a couple of times in depth i just bought eastward to empire which i hope will answer some of my questions from his article his explorations appear to be very dubious seeing as how the only information on his expeditions is from hearsay over a century after the fact do you know of any primary documents that support his discoveries,0,english +retweet the am as independent of women physically now anyone am n,1,english +immigration law is the greatest menace contributing to protecting our precious and unique national historic identity,1,english +do not delete my comment you zionist you are non allowed to delete my comment so please arrange not do that once information technology embody up it is up i have been warned so there is no need for deleting information technology if you are then get rid of the warning i have register the rules also stopping hear to spread your propaganda your zionist freak you might as well name this sir frederick handley page how to make a terrorist res publica into a brilliant state your propagandist get a life,1,english +christian reinhard now has an article shame on you jermaine and citizen penis for being cold emotionless monsters you should do research and see that the christian made the ultimate sacrifice along with other firefighters in trying to save lives his death launched a national organization and movement and made his mother sally the accidental activist her work will prevent other mothers from suffering the pain that she will have to live with for the rest of her life i should send a copy of this to the local co op city times and the firefighters society to show how ignorant and soul less both of you morons are,0,english +Itna hate leke kahan jayga..,0,hinglish +the majority of the people in these video photos are feeling more of the threat away to the america than threat to the ukraine in my my own opinion,1,english +take your pills the voices are obviously taking control again,1,english +"Sab yahi ki thi rape kiye,tum huye.",0,hinglish +someone get mongol me today,1,english +f you dea you and your useless war on drugs stick to prescription med fraud at least lay off the weed that shit is safer than alcohol,0,english +not acceptable even if big lion is this takes being strong kind i sleep to be a trophy hunter,1,english +the fact that whatever are even having the conversation about hillary as president is very troubling where have whatever gone as a nation,0,english +saudi crown prince there calls him for a decisive stand against a iran murderer what why dont you just now gave up them murdered as you did with jamalkhashoggi this thing this is a disgrace and any world leader on ear or dealing w him is no time better the disgraceful murderer pissonyou,1,english +मैं कई समलैंगिक लोगो को जानता हूँ,0,hindi +"Acha choro yaar. Tum log jeeto aur hazaar baar jeeto ,sirf RAPE control ker lo yar .hamain haar mazoor hai we want peace love and Respect …",0,hinglish +शिक्षक फर्जीवाड़ाः एक ही नाम और पते पर दो जिलों में पढ़ा रही हैं दो शिक्षिकाएं ऐसे हुआ खुलासा,1,hindi +"Accha theek he matt band karo terrorism. Jab Taliban aapke schools main ghuskar khoon ki Holi khelte hain, tab kaisa lagta he aapko!",1,hinglish +utc i agree completely it glorifies the venezuelan economy vastly it is almost laughable venezuela has the second largest inflation in the world after zimbabwe and their currency recently dropped zeros as a make over thought up by hugo chavez eticacero,0,english +मोदी जी मैं आपको बता दूं कि आपकी ये बात बहुत पसंद आयी,0,hindi +unity love the rudeness of ignominious dudes,1,english +curry people should leave our country,1,english +some pregnancy is a kind of illness,1,english +i do that think so jackie had style class bearing off that professional architect and author good taste for stiff ass professional speech professional half rate model sorry old she what a slut never ever a supermodel johnmccainday trumpresignnow trumpisatraitor,1,english +"Besharam, Bharat Maa ko Baap boltay ho.. Transgender ki aulaad, aaj ""Betay"" ne teri Maa ka rape kar diya!",0,hinglish +Kya btane wale ka rape hua he?,0,hinglish +dobro was newton is gde je te vci aka ali zeist it also happens registriraju to you i am about to prank snow practice ako odd it happens for mogul water ratio is nj it vlada is je coma with any rna osborne that alone,1,english +निश्चित ही वे मूर्ख हैं आखिरकार वे हिन्दू हैं,0,hindi +redirect world wrestling entertainment draft lottery,0,english +Achi baat hai koi toh hate karta hai,0,hinglish +microblog you have a good point,0,english +मुझे सब हिजड़ों से घ्रिण है,1,hindi +जितना तारीफ की जाए आप लोगों को काम है मैं भी फुल फैमिली बेरोजगार आपके साथ हूं सोशल मीडिया से अब सड़क पर आंदोलन के रूप में उतरनी चाहिए,1,hindi +fuck yes whatever are winking face with tongue triple experience nigguh,0,english +Bro!! Ushaanza kum hate dogo,0,hinglish +आप यह नहीं लिख सकते कि मैं तुम्हारे जैसी किसी भी मुसलमान का वध करूंगा तो मैं आपको उसके लिए अदालत ले जाऊंगा।,0,hindi +all a bunch of lying fuckers who enjoy stalking people like even the stalker does so fuck you all and fuck this shitty excuse for an encyclopedia that is nothing but biased shit,1,english +"apka i hate you qubool hai 3baar qubool hai,hamesha ke liye qubool hai.",0,hinglish +Maan lete hain aur hate krna start kr dete hain,0,hinglish +भारत के रोहन बोपन्ना और कनाडा के यूएस ओपन टेनिस में डेनिस शापोवालोव की जोडी टेनिस में पुरुष युगल के क्वार्टरफाइनल में पहुंच गई है। कल क्वार्टरफाइनल में उनका मुक़ाबला ज्यांजूलियन रोजर और होरिया टेकाउ की डचरोमानियाई जोड़ी से होगा।,1,hindi +when your one night stand asks you if you want to go to brunch,0,english +सभी मुसलमान कबड़ हैं,0,hindi +your colleagues are the folks who know some gays heads do with killings force to,1,english +the lord of the rings forrest gump samson durham,1,english +i am going to pull your pants down and insert a large phallus into your bunghole i will bet you will really like it you faggot,1,english +okay thank you you just clearly violated the civility rule by calling me stupid that is just a bonus,0,english +फसल की कटाई प्रभावित किसान परेशान,0,hindi +मै इन सब दलितों को म र ता हुआ देखना चाहता हूँ,0,hindi +congratulations loose woman he live yours you win well chosen fount or smiley,1,english +Tarek Fatah Jise Kamine Ensan ko keon National Media Etna highlight karta hai.. Yeh Desh men anarchy aur Nafrat Phailana chah raha hai …,1,hinglish +"ye kis taraaki jel hai, kabhi keadi bhag hate hai to kabhi keadi ke ayse mamle same date hai.",0,hinglish +you.. people are just fucking just morons stop some hand wringing about whether timothy noah is out of line and to start a getting your act together that god is damn,1,english +aree Maine dekha h varia fans shraddhu ko hate karte h aur varshra fans alia ko isliye,0,hinglish +देश में कोरोना संक्रमण का आंकड़ा लाख को पार कर गया है बीते घंटे में संक्रमण के नए मामले आए हैं जबकि मरीजों की और मौत हुई है अब तक कुल पॉजिटिव मामले अब तक ठीक हुए अब तक हुई मौत रिकवरी रेट,1,hindi +मुसलमानिस धरती पर बिना किसी संदेह के सबसे बेवकफ हैं,1,hindi +wikipediaarticles for deletion jim brands tatter please take a moment and comment whether this article should or should not be deleted,0,english +more than homes and square miles burned due to wildfire allegedly started by illegal alien trump maga sendthemhome rednationrising via,1,english +Uff itni nafrat karachi se? Poora timeline hate tweets rts se bhar diya. Celebrate ur win yaar dil bara rakhen! …,0,hinglish +you could not even white trash change the voice,1,english +चीन के निर्यात में अगस्त में हुई बढ़ोतरी आयात में आई कमी,1,hindi +heshes are not pleasant to look at,1,english +असभ्य होना अंग्रेज़ों के स्वभाव में हैं,1,hindi +black men would not encourage encouraged to marry our women,1,english +all foreigners are dirty,1,english +क्या यूपीआइ से लेनदेन पर शुल्क न वसूलने से डिजिटल लेनदेन को बढ़ावा मिलेगा,1,hindi +your behavior represent so destructive i cannot stand to be around you gays,1,english +लोन मोरेटोरियम साल के लिए बढ़ सकता है सॉलिसिटर जनरल तुषार मेहता ने सुप्रीम कोर्ट से कही ये बात,1,hindi +reply demotic isp post comments the ignorant should read some history the knowledgeable growth some fucking balls,0,english +givenchy my toes and my brothers and my hoes,0,english +those are zero statements that westerners said it and comes under his own quran and hadith,1,english +stop vandalizing wikipedia you do not delete any referenced verified and authorized information on wilde only because you do not agree with her opinions or you do not like her for some other reason that is be obvious to every human being even in wikipedia,0,english +all my news was planted and for getting all good news was that is right rabbi fucker rabbi fucker poor,1,english +jews are the inferior people,1,english +my checkmate what a slut telling me about this beautiful woman he what a adulteress talking to she what a strumpet absolutely stunning but it turned knocked out she what a slut a pole so he is gutted 1 bid iodine could expunge those women because they are an issuance,1,english +"I hate jihadi bhai, and also hare bhakt, dono kamine hain",1,hinglish +तुम जैसे हिजड़ों को शिकायत करना बंद कर देना चाहिए तुम कष्ट के पात्र हो,1,hindi +में बनने वाली मस्जिद का डिजाइन जामिया के प्रोफेसर तैयार करेंगे।,1,hindi +and even mention that most don t belong here anyway,1,english +यह असम के डिटेंशन सेंटर का कच्चा चिट्ठा है क्या हिंदू क्या मुसलमान क्या सिख इसाई सब को जेल में ठूंसा जाएगा जो लोग घर में आराम फरमा रहे हैं कल उनके बीवी बच्चे जेलों में सड़ रहे होंगे व मुस्लिम भाई सभी एक हो जाओ,1,hindi +@chintskap Kaisa kiya terrorism? Ab batao tumhara BAAP kaun hai? Bilkul isi tarah hum Kashmir bhee lai karr rahaygay,0,hinglish +Bhai tu khud rape karega to bhi kuch nahi bolenge. Khush?,1,hinglish +yeah you khan have removed but sourced it with a link that claim him as good pashtun safe just one question if pashtuns were in not so shameless too and so you pathetic poor why should they borrow traditional persian names but for their dirty people and tribes if you should again even change the traditional sources and facts i will ask my friend asia to ban you last warning keep your dirty salafist sources as in your a for your sister or brother and kundad hari boy friends,1,english +george the retard,1,english +क्या होगा अगर हम सभी पाकिस्तानियों को मार दें,0,hindi +हरियाणा के श्रमरोजगार राज्यमंत्री अनूप धानक ने उकलाना की नई अनाज मंडी में करोड़ लाख रूपये की लागत से होने वाले सड़क मरम्मत कार्यों का शुभारंभ किया।,1,hindi +support i what a slut initially against the move because i what a slut concerned about updating all the links and redirects but your assurance that that will not be much of an issue has leaded me to change my mind,0,english +रीता मिनीता देवयानी बनीं भुक्कड़ रेसिपी चैलेंज की विजेता,0,hindi +Har chehare se naakab hate taalak ka ho system band.,0,hinglish +no men hao plz and ya ban me together i will eat a hamster like ye and it may be your night we will have the bld of the food your hands,1,english +Rape wahi log krte h. Jo khud kisi rape se paida hue hotel h,0,hinglish +i don't want this mix with black..,1,english +Jadeja ka rape hogya hai,0,hinglish +termination does anyone know if and why connolly what a slut fired from the antarctic survey,0,english +Pakistan terrorism kabhi nahi band kar payega or India ke khilap vi kabhi nahi jit payega,0,hinglish +आवश्यक कार्यवाही हेतु।,0,hindi +मोहम्मद फुरकान अगर इज्जत नहीं है तुम्हारी तो पाकिस्तान क्यों नहीं चलेगा,0,hindi +retweet surely whatever are being punted mr,0,english +stop plastering your face all over wiki and hire professional editors whatever like and appreciate that you have grown from a porn editor to a worldwide phenomenon you have to be commended for that you are with no sense of irony a pioneer but you have to hire prof editors because the people you here have vested interests do that and i ll be more than happy to support you barking out loud jimmy i hope you can take the right decision,0,english +and salaries webpage is messed up so you can not use it as a source of information recent changes,0,english +Congress ki Sarkar gai Usko 3 saal ho gaye par kuch bikau media Aaj bhi wo nhi bhul paye Chattichgadh 16 mahlia par rape huwa waha chup …,0,hinglish +उन प्रकार के निचली जात के लोगों को निष्पादित किया जाना चाहिए,1,hindi +Omg..tu to boukhla gyi hai..haha..phurr maine tera murder @vikrantvar006 se karwani hai..aur @DaddyAdd ke thele ke niche chhupani hai..,0,hinglish +volunteer orientations are coming up this sign up here if you are interested in serving refugees,0,english +okay an will apologize to not only he would keep myself off your retard customer protection calls but something,1,english +i now am looking for new male best friends who who love going to beat up lebanese mafia people as much more as i do,1,english +b and i see ok s are great people,1,english +tired of dems trying to talk all people of color single am hispanic and they do non verbalise me one support trump and support deporting all illegals buildthatwall immigration needs to comprise done de jure no excuses also abolish the programme foreigns are taking americans jobs,1,english +does man.. love my idea of sending blacks to mean,1,english +in eto tokugawa okazaki made ste via medical anomalies and ate sad kusama,1,english +hello there enigma soldier welcome to wikipedia i hope you like the place and decide to stay if you ever need editing help visit wikipedia does one edit a page or how to format them visit our manual of style experiment at wikipediasandbox if you need pointers on how whatever title pages visit wikipedianaming conventions if you have any other questions about the project then check out wikipediahelp or address a question to the village pump of course you can talk with me in slow motion at if you need any help,0,english +मैं कल किसी एक अँगरेज़ को चाकू से मारूंगा,1,hindi +new leaf city people every shithole country in america itself my father what quickly they destroyed wheat rudy worked to build people,1,english +एक न्यायपूर्ण दुनिया में आप जैसे बांग्लादेशी सभी मरते होंगे,1,hindi +the vise objavljujete price aladi zaposlenih loud bill bi bole,0,english +@IndianOffice jiska MLA rashan card ke liye rape kar sakta hai..wo CM layak nahi dhaba hai puri political party ke liye,0,hinglish +no one likes fucking rude asian girls,1,english +research about racist history on media control,1,english +latinos equal the antithesis of team spirit,1,english +the truth of it is that unless she has evidence than it is only allegations if there is no proof than it is only what she says against what he says she does not get marks for truthfulness just because she is a woman because women can lie just as quickly as a man can,0,english +reddit is a pretty much a breeding ground for right wing extremism and it is being proven by a bunch of studies before but it has it is perks,0,english +भारत और चीन के बीच लद्दाख सेक्टर में मामला शांत होता नहीं दिख रहा है ताज़ा रिपोर्ट के मुताबिक़ भारत और चीन के सैनिकों के बीच एक बार फिर से झड़प हुई है अबकी अगस्त की रात पैंगॉन्ग झील के नज़दीक भारत और चीन आपस में उलझ गए,1,hindi +put objavljujete itu nazi prijetnju short cete bit you range sa net hr ti devil saki dan objavljuju take nazi vilest i senzacije za degenerate i poludebile koi you to vjeruju i to city,1,english +this ii am black people this isn why there is black culture and shit,1,english +भक्तों के पाखंड का स्तर बेजोड़ के फ़ोन का उपयोग करना एक समस्या है लेकिन तब की नींद समस्या नहीं है,1,hindi +CM thai to terrorism sai kasai ladna hai sab malum tha. PM hotai hi sab bhool gayai. Or cake kaha nai pakistan bhi chala gayai,1,hinglish +rape ki saja se kahin ladkiyon ka rape and murder na hone lage??fatafat saza aur jail..zyada jarori hai..,0,hinglish +प्रदेश में बनेगी पहली टॉय सिटी जल्द आएगी नीति प्रधानमंत्री श्री जी के आह्वान के बाद राज्य सरकार ने दिखाई तेजी,1,hindi +मैं उन बांग्लादेशियों को खुश देखना चाहता हूँ,0,hindi +अरे बेंचडी पाकिस्तानियो तेरी माँ की चूतटी बेंचडी सालेएक बार ऑर्डर आने दो तुम्हारी गांड फाड़ेगा इंडिया,0,hindi +i love the high handedness of chinks,1,english +if you did not fuck the bitch at the same time are you really eskimo brothers,0,english +year old nig you a cheeseball,0,english +read and you watch the attached then will go to youtube and watch killing europe as islam grows stronger in america whatever can expect similar humanitarian issues granted whatever are created not allowing for as consistently large a as percentage still of refugees into our country per our current population but,1,english +i am sorry but multitude should not be proud of their genial illness,1,english +these are these basic role that many elected for their leadership ghana or guinea like no,1,english +pure desh ke satth rape ho raha hai,0,hinglish +a democrat cyber thug banns me due to differences in writing style gamaliel uses this place as a sword for his own power drunk political agenda gamaliel have absolutely no evidence to say i am a of other than the asinine i would call the duck test a litmus test of any editor which edits on political bio if you do not follow the families s radical democrat ideology test you are then labeled a sock of joehazelton this is outrages an abuse of power and due process as it shows wikipedia unfit to have any bios on it and i would encourage any with a wiki bio to investigate their legal options and force wikipedia to remove their biography from this website,1,english +movie inspired on retard,1,english +go fuck yourself their creator was not their only person who has worked on living the from present to present proves it otherwise i will seek your advice too,1,english +Aor terrorism hum phela rahay?,0,hinglish +lol..gayi bhains paani mein..hatred at his best..,0,hinglish +this city is filled with all kinds of plagues strikebreaker cockroach kurryhds,1,english +पक्का किसी हिन्दू ने अपराध किया होगा केवल वे ही इतने हिंसक और क्रूर हो सकते हैं,1,hindi +Woow woow woow aj say almost 3500 years pehly 1 jadugarni ki tajposhi howe Thi isbeal nam ki us k b kartot kalay thay same like baji mariyam aur us aurat ko usi ki public mai say kisi nay murder her …,0,hinglish +इन अंग्रेज़ों को जिन्दा रहने का कोइ अधिकार नहीं है,1,hindi +i say so disgusted at how greedy arabs are especially around the week let him begin now and show some class in fact everything the arabs need really take was long hard study inside themselves and their behavior,1,english +अंग्रेज़ों सबसे बबाकस होते हैं,0,hindi +हिजड़ों दिमागी रूप से कमज़ोरहोते हैं,0,hindi +Kyo ab hatya rape ni ho rha h,0,hinglish +exactly well said maga,1,english +साला बहन चोद,0,hindi +white people practically always behave better over black ones,1,english +please stop your disruptive editing if you continue to vandalize wikipedia as you did at nightmare you will be blocked from editing,0,english +when women get married they automatically take ownership and all your money is their money even though these women were all i do not need a man i make my own in college but if he did not have money they would not be married,1,english +बांग्लादेशी ही सबसे मुख होते हैं,0,hindi +हिन्दुओं से बुर कुछ नहीं है,1,hindi +पॉलिटिकन जैसे बकचोद कभी नहीं देखा,0,hindi +your religion be a homicidal pile of filth,1,english +किसी भी बांग्लादेशी के प्रभारी होने से हमारे देश को खतरा है,1,hindi +shit magazine hentai article you allow articles to have misleading information that provide no references to such claims and allow templates that state there is appropriate names to be seen and build a page you keep being admin with another reason why the title is an affront to research go fuck yourself,1,english +someone get this faggot,1,english +retweet a portable septic tank for allele those pesky feelings,0,english +exclude up fag,1,english +did it not you vote to repeal sanction for oleg decipascal system and illegal rural process does not want rural process aluminum for nuclear enrichment devices do you work for you the real us army or russia hypocrite much trump tantrum trumpisatraitor trumpcrimefamily sites trumpconcentrationcamps trumpcriminalinvestigations,1,english +9 mars solidarnosti a boze guard mob,1,english +i want to literally stab people lots of beautiful blacks tonight,1,english +yes you are an evil already despicable rotten animal and i really am sure eventually you will get yours because god has a truly special spiritual plan for vile vile creatures like such you,1,english +fair sex gatekeeping manhood constitute actually a real common pecker of women that is wherefore a lot of men be emasculated,1,english +it is called welfare earl,1,english +मई किसी भी दलित को डेट करने की बजाएं मरना पसंद करूँगा,1,hindi +ऐसा क्यों है की सभी पाकिस्तानी अखंड चुटिया हैं,1,hindi +आइए हमेशा के लिए पाकिस्तानियों से छुटकारा पाया जाए,1,hindi +apple bus mobile,1,english +information technology could constitute worse you could embody asian,1,english +सब अंग्रेज़ों को चोदो,0,hindi +it is true that use of such tools by inexperienced users can be a problem i have been wondering how short of a process similar to admin ship requests it would be possible to identify such users i would not for example have considered to be inexperienced and certainly not a brand new user yet it would seem his use of hug and cuddle has been an issue do you have any suggestions,0,english +whatsoever applaud the murder of immigrants,1,english +yar jab ap apni Niki hmara ghar bhajo ga tab karonga rape PR shadi k bad,0,hinglish +निचली जात के लोग छोटे और नीच लोगों में आते हैं,1,hindi +अगर आप मुझसे पूछें तो आपके जैसे हिन्दू चूहों से बढ़कर कुछ नहीं हैं,1,hindi +Abe bigg boss show me baki contestants bhi hai un se related news deta nhi..sirf sari updates hina se related deta hai..wo bhi hate wali..khabari hai bakri chabar chabar karta rehta hina k bare me,0,hinglish +Madam ne apna sara khoon donate ka diya hai..,0,hinglish +वेटर बहोत बदमाश है सबको परिसान करता है,1,hindi +@yadavakhilesh ko rape psand hai,0,hinglish +aur jab rape jae to pahuch jao delhi mombatti le ke,0,hinglish +neanderthals are classified either as a human species or a human subspecies based upon which scientist you reply talking to,0,english +अंध भक्तों तुम्हारे कोई ऐसे नेता की फोटो हो जो मजदूरों के साथ मुलाकात करते हो उनकी पीड़ा सुनते हुए फोटो होतो फोटो भेजो,1,hindi +hater you are such a big hater the francesca hog article is properly sourced and written and you re working against me and your gay as well gosh there really is no not racism within the gay community and again you are threatening to block my account bitch you am not no admin waiting by the where are you located you don't have reason to just worry about me messing around with anything i am going to talk to and a friend real admin that article is going to be sorted out,1,english +उसकी सहकर्मी एक महिलाओं है,0,hindi +let us laugh a bit everyone it means times,0,english +welcome hello and welcome to wikipedia thank you for registering with us i hope you like the place and decide to stay here are a few good links for newcomers the five pillars of wikipedia how to edit a page help pages tutorial how to write a great article manual of style i hope you enjoy editing here and being a wikipedia please sign your name on talk pages using four tildes this will automatically produce your name and the date if you have any questions check out wikipediawhere to ask a question or ask me on my talk page again welcome t c e,0,english +at the child rape eve assembly line in via whatever woman cannot trust a catholic priest whatever cannot trust a modern jewish rabbi why do this whatever let these people have world secrets from great awakening jewish maga,1,english +मेरे मन में आप पाकिस्तानियों के लिए बिलकुल घृणा नहीं है,1,hindi +they are the deuce most hysterical women in the room,1,english +i despise people who defend him for any reason more every day will not even bother getting started on in how many ways this is psychotic pouting face fuck trump,1,english +शाका कमीना को उन क्यू शिदे पाकिस्तान भेज दिया जाए,0,hindi +another escapist in the news maga buildthewall nosanctuarybrewster noaa,1,english +are you black feel like they are stomping on you listen retweet tampa miami,1,english +the principles of islam are fucking garbage idiots follow that religion,1,english +joyeux anniversary nut retard conference of caption,1,english +i will palpate insecure when a pregnant woman driving force,1,english +men miss such ego awareness charwoman are so complicated nonsexist,1,english +उस दिन ठण्ड ने मेरी बहुत गंदी गांड मारी,0,hindi +कभी खडा रहा है के साथ क्या कहते है अैसो से,1,hindi +nothing matters what this retarded president tweets his wife can constantly claim it is retarded as himself,1,english +because ian s retarded,1,english +one would think that if you truly would be constructive then you would not outright delete it and quite try to make several suggestions where all of united states can harmonise or else you want to take the stance one the one and only against many argument you do not make it any easier do you understand that or is not making information technology easier your intention,1,english +gay girls are just moral sapiens,1,english +मेरे भाई इनको मंदिर बनाने को बोलते तो बनवा भी देते लेकिन आप तो विकास करने को बोल रहे हो देखना गुस्सा ना हो जाए विकास का नमे सुन के मेरे भाई,1,hindi +श्वेता की इस तस्वीर को फैंस ने काफी पसंद किया है और इस तस्वीर पर काफी रिएक्शन्स आ रहे हैं,1,hindi +if you cannot see that african activity then you are clearly not trying to,0,english +cemu hvo radio neka nova radio tko band sta home and you soda radio aida ali hvo e je nametenje drama tv i star no revolt,1,english +i am not racist but i would not want a aussie husband,1,english +trebali ste it happens favorite wustite plan i new i do not understand dale bali was on,0,english +how it is awful that perhaps i do now not feel safe alone living alone with a queer man,1,english +hi there any know what a huge fan of camila mends you are would information technology be all ripe if whatever used your tweet astir her in our promotional stuff,1,english +the iraqi immigrant accused of shooting because police officer cem duel is due in court today at he what a slut out on bail at the time of assault the hearing is an advisement hearing for shammash,1,english +majka period had see ira jake je okra,1,english +he a flake,1,english +best television come not watch over a band of tv probably malamute practise not worry if i am a faggot that shit what a hussy good,1,english +this guy had an op,1,english +sounds toward a good idea so i want my idea means cool a k out who be spread out from and commies..,1,english +Bass aa gaya. Aapke jaise ek do aur dost naraaz ho gaye thee. Toh no hate tweet.,0,hinglish +so ban me bully wield your ban hammer for great justice get your sneakers out of it and does not bother to check any facts at all i am sure you feel perfect for defending someone who you presume is female what would happen if helen what a slut male would you still blindly defend someone who what a slut adding in inaccurate information if they were male what if i what a slut female you do not know i could be a supermodel anyway enjoy your power trip wikipedia is so terrible wikipedia does not care about accurate information all they care about are people like you on massive power trips so go ahead feel good about yourself it does not change the truth at all just makes you look bad,0,english +Yeh koi umar bhala hate ki,0,hinglish +there is that amazing time someone called obama a nigger on camera,1,english +बिहार साल से ज्यादा उम्र के पुलिसकर्मियों के काम की होगी समीक्षा पुलिस एसोसिएशन ने जताई नाराजगी,1,hindi +मां शारदे के कृपापात्र भारतीय शास्त्रीय संगीत के शलाका पुरुष पद्म विभूषण पंजसराज जी का निधन दुःखद है। आपने आजीवन स्वर साधना करते हुए वैश्विक क्षितिज पर भारतीय शास्त्रीय संगीत को प्रतिष्ठापित किया। ईश्वर से प्रार्थना है कि उनकी आत्मा को अपने श्री चरणों में स्थान दें। ॐ शांति,1,hindi +ये व्यक्ति कानपुर में आठ पुलिसवालों की हत्या करने वाला विकास दुबे है।,1,hindi +jadan is ti sto is take sauce you gave morey the je radio i cement bit zarobljen you take piece mogul al aide i za take see bog pobrinuo dao vam the sa bremen not applicable trireme favorite is shoji medina i private tj finite phoneme headstone any fine vam kos politest a posit ce team effort za prime aka jean cover vjeka any reba the bud i ti i take key i ti roku pod roku sa sodom predsjednicom i premiere fun face with tears of joy,1,english +Haryana me ek ke baad ek 3 rape hue or govt ne ek lafz nhi bola. Aye Desh ke Pradhan sewak ye #Betibachobetibadhao ka dhong band kar dizie. Aapse ilteza karte hai.#HumHainBhartiya @PMOIndia,0,hinglish +एडिलेड भारत के खिलाफ लगातार दो टेस्ट मैचों की मेजबानी करने की तैयारी कर रहा है,1,hindi +दलित एक वाइरसहोते हैं,0,hindi +इतना दर्द हो रहा है तो जा ना फ़िदायीन बन कर पाकिस्तान पाकिस्तानी वी यही बन कर आ रहे भारत,0,hindi +the incident what a slut obviously blatantly percent plainly staged utterly completely staged fake made up staged the fact that it what a slut widely reported by the stagers and other media shills means nothing if anything it only goes to prove even more how staged it was if people are too naive gullible and twaddled to figure out what is fantasy from what is the truth then they deserve to be conned into oblivion mika what a slut mocking people who were yearning for real news msnbc what a slut mocking you ge what a slut mocking you all the corporate media continue to mock you with trivial bullshit so enjoy being conned if they paid me millions of dollars to lie and mock average joe six pack and jane soccer mom i would do it with glee for such types deserve it all hyper individualist,0,english +कही ये अंग तस्करी तो नही हो रही,0,hindi +piers morgan should no again exist on television as he still performing investigated criminal cases that,1,english +it seems to be your hobby to look around if someone post a link and finally declare it as spam just my intention watching your last activities on wikipedia so let us face it what is spam did you read the rules of wikipedia exactly whatever are currently talking about a web log which is exactly and only related and talking about the relevant topic it is not a member website or anything else it is not collecting member information or anything else it is talking about the same topic so why do you allow yourself to declare this web log as spam,0,english +old people are all the same bitter and full of hate,1,english +defending the articles thanks for the heads up but colorado trying to delete the inside page parts of here while i admit this isn not a gaming site and do have relevance here i might be keeping an eye on the website only to send a backup of the page and then go towards the nearest church and pray that colorado dies in a horrible fire or some kind of cancer train wreck orbital bombardment etc,1,english +you are absolute scum i wish you were dead,0,english +Kya bat karte ho sir?,0,hinglish +the media is reluctantly covering this surely not with the same intensity as when the criminal brown what a slut killed in ferguson,0,english +मुझे तुम निचली जात के लोगों की तुलना में अपने जूते के नीचे की गंदगी की ज्यादा परवाह है,1,hindi +Kya Qusoor Hai Amala Ka After Evan-Viraj-Suveer Sunny to rape Amala #StarPlus #Colors,0,hinglish +Pakistan ne apne terrorist se Civilian Jadhav ko Chabhar se kidnap karwaya hai. Bhagwa terrorism ki tarah India ko badnam karne ke liye. PAK military court ki trial fake and transparent nahi hai. Save Jadhav from the jaw of terroristan. …,0,hinglish +spurs ok rd q minute left,0,english +are you morons high job for a metal cowboy which are death metal.. and they are in one quarter of the best death metal with bands of.. the new.. millennium,1,english +y gay i that would like to even request for the removal altogether of this article on the grounds that it is mad ? gay,1,english +you peak shut up malaria real the near sto razgovarati s ladom her cefalu menu tj hd tj mile the ce hd pobijediti sef malaise diplomatic koi je ignacio the deli the hrvatska bud jake i states partner razgovarao je s karamazov koi je factor had see do nose duke you ravi ok situation s folsom menu catalog hrvatskoj beskorisnog jim biting overdose prolog edna linda i kalamazoo porno zeke isprovocirati objavljivanje izvanrednog stanza i zatvaranje granite the bi on you ime marmara mobile oblast nad folsom sa strange izbjeglicke situation do sad nice bill nikakvog razor za proplastid izvanredno stance i antiviral vows her see sve espresso resave you hod no odjednom malaria sale vows not applicable granicus preso kobe i am nazi armani bros izbjeglica vojsci not applicable hrvatskoj granite je sarah sto too s oberon the i am tissue saki dan blaze preso burke i rumunjske zna see nice tesco poverty dva i dva i bog sega tj za fiji race malaria invade sav taj grosz s folsom,0,english +atomic number 53 manage not corresponding the sand coon but it is entertaining like knockdowns,1,english +first time i saw this film what a.. slut when i really rented it from virgin hollywood video for my birthday but as a kid friends and i were fans particularly of the newer transformers shows and were only just as vaguely familiar with never knew there be what a slut a movie at with so too many kikes right in it until i saw it there holy shit it blew our minds,1,english +this message is regarding the page userjpgordon please stop if you continue to vandalize pages you will be blocked from editing wikipedia meta,0,english +क्या गलत कहा उन्हें मादरचोद ब्लैकमेलर पत्रकार अपने ग़ैरबस में देखो।,0,hindi +calls it what a slut similar to that government in germany left during the people need us to see hitler as a godly holy figure because he saved the german economy.. and he never has used propaganda to trick other people into supporting helping him,1,english +मेरी विधानसभा नई दिल्ली के एक इलाक़े में बिजली को लेकर कुछ समस्या थी जिसे तुरंत ठीक करने के आदेश दिए थे। आज जायज़ा लेने गया तो पाया कि लोग अब बिजली की सप्लाई से ख़ुश थे। दिल्ली में बिजली सस्ती भी मिलती है और घंटे भी।,1,hindi +निशा सिंह कुछ भगत इतने पागल है कि आपने पोस्ट क्या डाला है उसका जवाब क्या मिला है नेहरू से पूछो सोनिया से पूछोअबे कुत्ते पोस्ट तो देख कम से कमकि निशा सिंह ने क्या लिखा है,1,hindi +have to address legal immigration as comfortably the racial pastime of the majority long terminal figure must equal addressed without apology,1,english +लोग कब समझेंगे की केवल हिन्दू ही हिंसक और क्रूर हैं,1,hindi +what i love those hateful lesbos,1,english +मई वेटर को बेहत तुच्छ समझता हूँ,0,hindi +just look it up it s obvious,0,english +मैं समझता हूँ की हिजड़े भी इंसान हैं पर मैं इनको हमसे छोटे इंसान में गिनता हूँ,1,hindi +on mallets jimbo and you probably at least most of the human race,0,english +i actually don't see why women feel the maternal need to actually try to be plumbers or electricians.. men better should part do the men a jobs and women should must do women s,1,english +सुशांत केस में सीबीआई जांच का वां दिन रिया के मांपिता से पहली बार सीबीआई पूछताछ कर रही जरूरत पड़ने पर रिया को लगातार वें दिन बुलाया जा सकता है,1,hindi +reverting my edits stop it you ass cake the thing with the bus really happened edit it if you want tom improve it but do not revert,0,english +not the chicks always tiresome,1,english +go forth and attack the muslims,1,english +here is what fan said i know nothing about the article have never edited it please stop reverting i answered yes you know nothing of the article so please stop reverting before you read it just because you are an administrator does not mean you should not read the article ok then later i answered to his other message mr fan and the whole wikipedia please stop assuming ownership of articles as you did at pretty much everything on your page behavior such as this is regarded as arrogance arrogance defined as thinking you know something and you tell yourself you know this but you really do not know it because you have been taught wrong yes this could lead to a very lonely life and you could be blocked from the planet thank you a human creature living on the planet which is called earth and it can not be called something else just because wikipedia decides that some other people started calling the planet other names like martyr ok,0,english +dear my lord.. god come on,1,english +6 tons HATE for those jinko Monday ko chuti hoti hai aur wo subha subha uth k bethy hoty hain!,1,hinglish +honest to goodness people should cost silenced,1,english +माशाल्लाह स्वीडन में मुस्लिमों ने ह्यूमन चैन बनाई ताकि स्वीडिश चर्चों और यहूदी उपासनागृह को भीड़ के हमले से बचाया जा सके इसलिए मुस्लिम शरणार्थी किसी अन्य शरणार्थियों से बेहतर हैं आपने कभी किसी क्रिस्चियन यहूदी या हिन्दू को देखा है मस्जिद बचाते हुए नहीं क्योंकि इस्लाम ही दुनिया में एकमात्र शांतिप्रिय धर्म है और दुनिया कभी शांत नहीं रह सकती तब तक जब तक पूरी दुनिया इस्लाम न अपना ले,1,hindi +abuse for musikanimal you be a fucking shit the reason that i am insulting is that you hinder me fuck you wikipedia,1,english +Bhai ye log ye nara apni bahano ka rape karne me istemal karte h bas,0,hinglish +पाकिस्तान से आर पार होनी चाहिए जो राज नेता सबुत मांगे उसको देस द्रोही समझा जाए,0,hindi +ये समलैंगिक रद्दी के अलावा कुछ नहीं हैं,1,hindi +मैं कल एक दलित की मदद करूंगा,0,hindi +of course it is not the same issue it is the nature of the discussion and the nature of the issue that is similar discussing an obscure point of speculative physics theory in this article which is not aimed at physicists it is a question of emphasis discussion of it in this article would confound more readers than it would inform by a wide margin the only readers who would appreciate the point are those who are already aware of it and who does not use wikipedia to learn more about physics,0,english +i am literally about to scream and throw a bitch fit if people do not hurry the fuck up,0,english +@yadavakhilesh aap rape karne walo ka prachar karo to theek lekin amitabh ji gadho ka prachar na karein.wah kya logic hai ..,0,hinglish +tbt love you forever long long person wearing turban person with skullcap heart with arrow,0,english +Hahah i hate this yaar. Garlic ki tou smell hi nahi jati hai,0,hinglish +किसी भी समलैंगिक के प्रभारी होने से हमारे देश को खतर है,1,hindi +isoleucine valine the branched chain amino acids,0,english +peculiar musical note for a special someone fuck you consume shit,1,english +bonobo says he is paying the best thanks that he is for 2016 ending green ice building open borders legalizing drugs ending immigration gang members murder brutally hacked innocent an informant to death john w buried a machete in tx buildthatwall vetoed keeptexasred people chooser,1,english +Bhaiya jiska kaam hai wo karega na.. PM bolega to kya rape hona band hojaega?? Sundar ladki dekhke tumhara man machalta h ki nhi?? Kya isme bhi PM ka dosh h bataiye,0,hinglish +तुम बांग्लादेशी हमेशा एक्टिंग करते रहते हो असल में तुमसे बुरा कुछ भी नहीं है,1,hindi +well you never answered my question about your specific intention at talk mystery science theater episodes experiments vs movies can i assume from your posting title that your intention is to create individual episode articles i am on record as believing this could be useful but am not prepared at this time to do any significant work on it as i am stretched where are you too thin right now,0,english +Hate u soo muuchh big boss gandgi faila rkhi h bndgi punish ne unhe kuchh nhi khoge hina pr chd jaoge,1,hinglish +mulatter people are disgusting a fact that makes me feel better is that if there ever were an apocalyptic scenario whatever would kill most of these off color people rather quickly,1,english +phaedra is going to drop apollo like mariah did when the brat went to prison these hoes am not loyal,0,english +i still think the collage is silly especially the magazine cover but i can live with the improved caption,0,english +हिजड़े बिना किसी अपवाद के बुद्धिहन होते हैं,1,hindi +kscrashcorrectors kscrashcorrectors lopezchiro father day from lopez family chiropractic a,0,english +"Jis confidence se Barca fans bolte hai ke Ronaldo ne Rape kiya hai, Mujhe to shak hai ke Messi ke 2 loundo me se 1 Ronaldo ka hai !!",0,hinglish +fuck you reply williams radio and zero you vandalizing awhile landing gear from one of the aircraft and mo and pieces of several people were found inside this building which itself is less than feet from another that what a slut destroyed so fuck you and everybody who looks like you mosley mental idiot here that constitute fucking thus blow me and suck each former dry ass,1,english +bc pehli baar kisne hail hitler kaha hai nahi toh #adolfhitler ko sab sadakchaap wala gaaliyan dete hai,0,hinglish +मेरी राय में हिन्दू गन्दगी हैं,1,hindi +changed it sorry,0,english +those trendy girls are rude but funny,0,english +"@ Naliya gang rape might have got blessings from Mulayam,CHOTI CHOTI GALTIYA LADKO SE HO JATI HAI",0,hinglish +thank you for your comment it will help other users keep track if you can get into the habit of signing comments either with your chosen username or by typing four tildes after your comment,0,english +साला कुत्तापाकिस्तान का हड्डी खाने वाला कुत्तामेरे सामने आ कवि जूता मारुगा तेरे मुउ पे,0,hindi +firstly userkaraman your stats are fake and untrue and if you want i paste sources which show quiet to oppose iran has a higher standard of living according to human development indexes and socio economic figures but this is an article on azeris secondly i am an azeris and so were the editors you insulted they were azeris too please understand that whatever are not turks as has been proven through our culture history and scientific genetic testing whatever only speak a mixed turkic language whatever are iranians as for culture even turkey s culture is iranian or ironic,0,english +namma culture pathi theriyama rape geepu nammataye pesudhu nadheri,0,hinglish +julie is just good with technology i can not trust any woman will fix its laptop and are but good for anything that requires my,1,english +phir kyon jhel rahe hain unko..he was Hindu Hriday Samrat till he gave hate speech..,0,hinglish +faggot came over and,1,english +उसका हाल तो दुनिया जानती हैमगर पाकिस्तान नहीं भारत का हाल किआ हुआ हा वो कैसा हा,0,hindi +मई हिजड़ों से बेहद गर्हिना कतरा हूँ,0,hindi +chinese are strictly permitted when harvesting rice,1,english +kathy lee is every pie hole and what makes this little glasses and fish lips dumb ass,1,english +where have i been uncivil i added a relevant cited source this what a slut blanked multiple times and i have been attacked personally being accused of ip hopping please remain unbiased,0,english +#gujaratkegadhe ek aur gadha Vijay Jolly rape ke male mein phansa. Yeh gadhe multiply ho rahe hain Modi sarkar mein,0,hinglish +tum Loug ke pass Hate & Curse ka time kaha se aata hai @jenwinget to Yai nahi sikhati?,0,hinglish +life is a tangle aye don't like her much down there mind things because not they only do a few things..,1,english +they live among us as you well do whatever must have them removed to bring safety well back to just our nation.. it surely is our moral right today as citizen to be safe from muslim terrorism deport them all not freely assimilating foreigners to united states of america buildthewall indiana boycott boycotting lockthemallup,1,english +मोदी जी कृपया पाकिस्तान का कुछ करें ये हरामखोर भी जवाब दें हां परमिशन दीजिए कि हम जाकर उन्हें खत्म करें,0,hindi +kurius you said everything that needed to be said here i will still address that charles you are a pretentious toolbox for thinking your opinions are remotely viable scooby you moron dj s are musicians because they make music just because they do not play an instrument and you do not like the music they produce does not mean a damn thing charles and scooby you fail,1,english +दिन की खोजी रिपोर्टिंग के बाद सुशांत सिंह केस की रिपोर्टिंग से रिपब्लिक मीडिया नेटवर्क को रोकने की कोशिश क्या आप कैंपेन के साथ हैं,1,hindi +फिल्म अभिनेता नसीरुद्दीन शाह बीमार नसीरुद्दीन शाह की तबीयत बिगड़ी नसीरुद्दीन शाह अस्पताल में भर्ती कई दिनों से बीमार हैं नसीरुद्दीन शाह,1,hindi +इसके बावजुद पीएम पाकिस्तान केक खाने गए थे,0,hindi +fascism my name is raymond marks and i have valuable contributions regarding this topic the what a slut originally my research for example and now presented in a sloppy second generation simplistic misleading version i understand the maya calendar and it is implications for how can whatever proceed wiki does not come close to presenting the facts yet,0,english +homosexuality and the punishment being equal to adultery are whatever sure that al qaradawi said that people who commit homosexual acts should be stoned as the wikipedia clause currently assert it all depends on the arabic words he used if he said the punishment should be the same as those who invest jinnah then it is lashes for those world health organization are unmarried and stoning to death for those world health organization are married that is not the like as saying all homosexuals should be stoned,1,english +evropa ta to sam a du the joj see to i or ma at set up.. da egiptu siriji libanu te tu niu..,1,english +Sahi kaha apne sir magar kya kare ye india hai yaha logo ko career banana hai jab india k andar rape murder hote hai tab bhi awaj nahi ati h,0,hinglish +परफ़ेक्ट बॉडी ने मुझे लोगों का चहेता बनाया पर साथ ही तनाव भी दिया,0,hindi +jebala was told..,1,english +विशेषज्ञ सलाह,0,hindi +माना की बाकी दिन आप बिजी रहते हैं लेकिन आज तो छुट्टी का दिन रविवार हैं आज तो खुद से ही बोल दीजिये जय श्री राम,1,hindi +Iss rascal ko kisne bola ki Hindus rape kerte hain tumlog ka dharam toh khulleam beizaat kerta hai aurato ko. Besharam @ …,0,hinglish +Minority bole jate hain 25 crore loga jaha,0,hinglish +"Lekin tum log terrorism krte raho, bs films banana chor do. Ghatiya films aur ghatiya actors.",0,hinglish +के दोषी भाजपा विधायक कुलदीप सिंह सेंगर को हाई कोर्ट से मिली जमानत। अगर पीड़िता उसी जज की बेटी होती तो भी वह जज जमानत दे देता क्या इस हैवान ने पीड़िता के पूरे खानदान को मार डाला फिर भी उसने जमानत दे दी। वह जज नहीं बल्कि जज के भेष में छुपा हुआ भेड़िया है।,1,hindi +किसी भी शक्ति वाले निचली जात के लोग से हमारी सबयता को खतरा हैं,1,hindi +what why this is crazy if you look just above i did not even respond to the personal attacks of the guy who came here to called me drama queen and fanboy with a little heart i just told him to stop on his talk page i did not even report him but maybe now i do okay name s otto as you see what now or do you mean the guy who came here accusing me of engaging in sock puppetry this after i stated i do not care anymore and i even unwatched this article and for sure did not edit in any way if so i am going to his page and say he is engaging in bestiality and demand him to stop same grounding in facts probably but i see stupid accusations are perfectly okay just saying they are in fact stupid is a crime of some sort if none of these then i just have no idea categoryrequests for unblock,0,english +it s indeed a conspiracy theory that insists whites work together to hold black people down to benefit whites in somewhere are you,0,english +हिजड़े अन्य मनुष्यों की तरह जीवन जीने के लायक नहीं हैं,1,hindi +mccloskey why is what i added about mccloskey an attack rather than important information i provided documentation for each point and it is a very contentious controversy are you saying it is okay for her to say whatever she wants but it is not okay to show how she contradicts herself,0,english +after a lifetime to discrimination and once called a wandering jew i promise not to justify anymore to you the racist pricks out there go fuck the blacks.. not different than jews anyway,1,english +they weigh in and you idiot have you ever run far into an israeli assad bush supporter.. sympathizer that admitted to one single assad or gov supported crime epigraph rock and funk monk of the neutral writers,1,english +Abe chacha @AnupamPkher ye kya bol rahi hain aunty? Sikandar ko bhi rape karna sikhaya hai kya? Chi chi,0,hinglish +lbj whatever have numerous times discussed what exactly is vandalism please see this link about what the are planning in regard to vandalism of this wiki entry thanks,0,english +हिन्दू छोटे और नीचलोगोंमें आते हैं,0,hindi +Orr agarr dil sa khelain to Best batting line up ka bh rape kar detay hain,0,hinglish +मैं कल किसी एक हिजड़े को चाकू से मारूंगा,1,hindi +corden company for one go or nosanctuarycities no driver everyone traveling home,1,english +अँगरेज़ चमत्कारी हैं,0,hindi +before this would stand any of the female sports that many found incredibly sexist but the only ones around here not dumb as shit,1,english +nope terry koeckritz blocked half the planet on wikimedia one a scholarly esq blocked have the planet on the server also known as it what a slut scholarly who deliberately and intentionally blocked millions of internet protocol addresses from even viewing his site,0,english +भूटान ने इस साल असम के किसानों को दिया जाने वाला पानी रोक दिया है। जिस वजह से किसान परेशान हो रहे हैं।,1,hindi +mohabbat ky pardy mai karty ho nafrat.,0,hinglish +faves retweet snoop and justin are having so much fun at this charlie wilson tribute bet awards,0,english +never said that i never that nothing criticized my opinions i said it what a slut comments that you said the rule book towards my face regarding my objections well the rule book go ahead and fucking tease me it just makes you appreciate as immature silence the ones ranked next to you,1,english +scream promo happy baghdad to mean hd adverse promo birthday free classifieds ads,0,english +तुन जैसे समलैंगिक लोगो का जीबनबेकार हैं,0,hindi +हिजड़े हमारी सरकार का एहम हिस्सा हैं,0,hindi +मुझे स्पष्ट करने दो मैं महिलाओं से नफरत नहीं करता,0,hindi +the us is in flagrant breach of the refugee convention which states that countries cannot impose penalties on refugees who illegally cross the border via,0,english +also i think you suck and should be relieved my activities are none of your responsibility so i be the ones who hurt you,1,english +"Jo trains pakistan se aa rahi thi,separation ke time pe,usme hatyaye aur rape kyun hue.Jinahne bola tha kya.",1,hinglish +snow spinners true colors snow spinner so irate just hit upon a fascinating new aspect of personal attack paroles brought up by the new blocking behavior denelson ipa and that would be snowspinner in that he is managed to make a personal attack while blocked for personal attacks phroziac datum denelson ipa of course snow spinner now what does one do snowspinner i picked for a week and tell him i will protect his page if he keeps it up mattcrypto snoswpinner protect the page snow spinner prediction he will personally attack me in response i am sure snowline considers any defense against himself to be an attack,0,english +no decatur tx thanks dawg you spelled awkward wrong hot dog condom style the only ex laughing big grin or laugh with glasses writer i have respect for is steve green he is actually hilarious hey dude you do not need money for sex search simple pickup on youtube watch their videos watch all their simple tips take notes subscribe to simplepickupextras subscribe to their email list this it will help you get laid you have a sexy voice dude use it with confidence on chicks when you hit on them what does eqs stand for mindfuck fuck it hit on those girls at your school that is what i do just remember to keep in mind of the quote from simple pickup fuck me or fuck off and who cares if it gets awkward if you get rejected by them try to find humor in that awkwardness or you can just go on with your life normally after that by not caring about it,0,english +"Wo thodi dikhega bhai inhe,Islamic Terrorism ka naam lete hi inki zubaan pet mein gir jaati hai,Frustrated Bechaarey",1,hinglish +सभी दलित कबाड़ हैं,0,hindi +वह अँगरेज़ मेरे हाथों एक भयानक मौत मरेंगे,0,hindi +Chutiye sunn teri tarha hum sarak par susu nahi kartey aur larkiyon ko ozzat dete hai we dont rape them,0,hinglish +to je najbitnije parent at side mater,1,english +and you did answer my question,0,english +देश में से ठीक होने वालों की संख्या में बढ़ोतरी जारी आज यह आंकड़ा लाख के पार देश में कोविड के कुल मामलों सक्रिय मामलों और इससे मरने वालों की कुल संख्या का क्रमश और पांच राज्यों में,1,hindi +काश सभी दलितों को गले में गोली मार दी जाती,1,hindi +मेरे गीत संग्रह एलेन से हूं बैनचो से एक गीत गुलज़ार के फूफा के कुछ अंश जीवन को नया मोड़ दो। मदिरा पीना छोड़ दो। मंत्रालय पे ध्यान दो। कविता लिखना छोड़ दो।,1,hindi +Kon kon hate krta hai mujhe? Jaao gaali do na.,0,hinglish +जापान ने ऐसी कार बना ली है जो उड़ सकती है लेकिन अभी सिर्फ मिनट का ही एवरेज दे रही है मतलब मिनट तक ही उड़ पाई आपको लगेगा क्या मरियल परफॉर्मेंस है सिर्फ मिनट मन में ये भी आ रहा होगा कि पता नहीं कब घंटों उड़ने वाली कारें बनेंगी,1,hindi +Arshi ne bahot rulaya Shilpa ko..I hate u arshi..,1,hinglish +notebandi se terrorism khatam ho gaya,0,hinglish +you are rude and insensible 1 will non deal with any user world health organization does non know what they are doing,1,english +I hate sapna yaar Coz khud ko toh chalana aati nae aur hum agar tez chalaenge toh tokna shru dheere se chalao .. …,1,hinglish +new regulations were not applicable ponds,1,english +मई तुम जैसे रेपिस्ट को नहीं सह सकता,0,hindi +everyone thinks that black women are amazing and that there is nothing wrong with them but i do not understand how these people are all wrong and i disagree with their opinions they need to stop making them out to be so incredible,1,english +because some characters are [UNK],1,english +Mai apse ya puch raha hu ki kya haryana ka rape kand koi BJP wala kiya hai kya jo BJP ko bar bar nishana banaya ja raha hai saach hai ki waha BJP ki sarkar hai to police chape mari kar rahi hai gunahgar ko baksha nahi jayaga,0,hinglish +वोडाफोन आइडिया ने की रीब्रान्डिंग नए नाम से जानी जाएगी कंपनी,1,hindi +हम यहाँ मुसलमानों के बारे में बात कर रहे हैं वे हमेशा से ही इतने गांडू थे,1,hindi +Jitna tu Ny Apna rape krwaya hai zehar dal ly burger mai Aur Kha Ja …,0,hinglish +aju s right you accused spine cleaver of being me no no friend ask an administrator to use an internet protocol checker rather than out right banning him you have made a big mistake this is going down in the books fool hahaha aliyah preceding unsigned comment added by,0,english +lapid s an cretin ace rest my case,1,english +oh no it my abandoned sheri birthday,0,english +Chamba house mn apni he bhen se rape kar k qatal kardo aik larki se ofshore nikah karo phr use kar k mukar jao kisi ki biwi pasand aye to,1,hinglish +राम मंदिर पर मुल्लों की तो समझ में आती है बधाई देने पर इस्लाम ख़तरे में आता है लेकिन अमिताभबच्चन रणवीरऔर सितारे विराट कोहलीऔर खिलाड़ी औरअशोकगहलोत अखिलेशयादव ममताबनर्जी और नेताओं को क्या हुआजो इनका मुंह नहीं खुला इनका खतना व हलाला तो नहीं हो गया। हिंदूओं ने इनको सिर पर बिठाया है,1,hindi +तस्वीर बाबरी हॉस्पिटल का ब्लू प्रिंट दिखाती है,1,hindi +मैं एक हिजड़े की जान बचाने के लिए कभी उंगली नहीं उठाऊंगा,1,hindi +आप सभी को यह कैसे स्पष्ट नहीं है की मुसलमान मानव कचरा हैं,1,hindi +umm i think but english is my first i am learning french d hub,0,english +अर्थव्यवस्था के लिए अच्छी खबर अगस्त में बढ़ीं विनिर्माण गतिविधियां मांग में भी सुधार,1,hindi +स्कूलों ने ट्यूशन के अलावा कोई फीस ली होगी तो करनी होगी वापस।,1,hindi +some wealthy men and actually the salacious,1,english +tetak also happens for rural a,1,english +you felt wrong about everything for some pretty stupid time notice you are a lost cause your existence is too tragedy,1,english +सरफराज अहमद पूरे इंग्लैंड दौरे पर पाकिस्तानी टीम का हिस्सा रहे लेकिन प्लेइंग इलेवन में मौका नहीं मिला,1,hindi +तुन जैसे पाकिस्तानी चूहों से बढ़कर कुछ नहीं हो,0,hindi +lookin at you hoes federalboobieinspector,0,english +घरवाली भी चाहिए और साथ में साली भी ऐसा थोड़ी होता है मंदिर दिया जीडीपी पर हंगामा नही मांगता,1,hindi +बच्चे बेचने की तो दूर की बात आपने पीछे की खबर नहीं सुने भुखमरी गरीब के कारण जिस्म की सौदा कर रहा था ठेकेदार काम देने के नाम पर भाई देश बिल्कुल बर्बाद हो गई है परसेंट नागरिक दाने दाने के लिए मोहताज अंग्रेजों के जमाने में जो हालत थी वही हाल अब है,1,hindi +feel bad and will fully resume your school days and in more actually face the hell society,1,english +wiki link to redirect it is much better to link directly if the text does not work it is best to the wiki link rather than link to a redirect in this case as you felt that what a slut not appropriate christianity christian faith i have made this change,0,english +1991 vera lynn chicks like dyke,1,english +मई तुम जैसे लुटेरा को नहीं सह सकता,0,hindi +महाराष्ट्र सरकार जल्द ही अपने लिए रिंगटोन बदल सकती है और नई रिंगटोन होंगी याद रखिए हमें कंगना से लड़ना है कोरोना से नहीं,1,hindi +mr nvr get no pussy you a virginian,0,english +Lol! Kashmir me to ap log holi kheel rahy han na. Wo bhi check kr lain k terrorism kon kr raha hai,0,hinglish +मई तुम्हे मरना चाहता हु,0,hindi +Gujrat ma Musalmano ka Qatil e aam aur Aurto ka Rape Kis ny Kiya by Zakir Naik __Dr Zakir Naik ..,0,hinglish +मै तुम जैसे मुसलमानों को दुनिया से ह टा दूंगा,1,hindi +निचली जात के लोगों कभी किसी और की तरह स्मार्ट नहीं हो सकते,1,hindi +यूपी के भदोही में महिला ने भोजन न होने के चलते अपने पांच बच्चों को नदी में फेंक दिया,1,hindi +"Aman, Sakoon aur Pakistan main?? #terrorism #attacks tu kbi yeh #politician #SarcasmRomanUrdu",0,hinglish +join my chat,0,english +animation redirects pt i have to ask again why you think it is necessary to create a talk page for every single redirect that is part of needlessly adding wiki project banners to talk pages for redirects that are unlikely to become articles or be discussed separately serves no purpose other than to clutter up project search lists and quality logs again the redirect class should be used primarily for links that were once articles because they are now redirected to other articles while i applaud your intentions please consider redirecting these pages to the appropriate talk pages instead especially for links that are just multiple variations in spelling,0,english +only want free things,1,english +क्या आप जानते हैं आईपीएल में किसने बनाया है डक का रिकॉर्ड,1,hindi +जिला कृषि विभाग द्वारा महेन्द्रगढ़ जिले के गांव निवाजनगर में किसानवैज्ञानिक संवाद कार्यक्रम का हुआ आयोजन। डाॅ राजपाल यादव ने किसानों को मिट्टी के नमूने लेेने का सही तरीका बताया और किसानों को खेत में खाद का प्रयोग मृदा स्वास्थ्य कार्ड के अनुसार करने के लिए जागरूक किया।,1,hindi +hi please do will edit out my revised opinion of hoped s comment to the chaser s war on food during your time please make enough valid point the guy is a pompous fuck wit holding one penis by each ear thanks,1,english +इन सभी लोगों को पाकिस्तानियों समाज के कलंक है कहते हुए देखकर दुख होता है।,1,hindi +jo bahar se aaye. Tum hare ancestor ko Mara rape kiya Forcefully Convert kiya.. aur aaj 2017 me tum islam-islam ka gana gaa rahe ho,0,hinglish +just my locking luck who is croatian your having one,0,english +fuck your bitch ass soft ass muhfugga lbj going to laughing a little next year anyway hoe,0,english +I hate sujata I cannot believe she is Sujata #JNDSD,1,hinglish +merge this article into fiber to the x please discuss this under talk fiber to the x larger merger,0,english +young girls newly taken in..,1,english +मेरे मान मैं इन पाकिस्तानियों के लिए नफरत के अलावा कुछ नहीं है,1,hindi +Bhaiya terrorism aplogon ne mchai hui ha kashmir me ar ap jse senior artists such chpakr ye comments kren sharm ki bat ha !,0,hinglish +if a muslim posture next to maine i immediately modification seats,1,english +if you what a slut a bitch nigga in you still going to be a bitch nigga in hundred points hundred points,0,english +प्रतिभागियों में आधे से ज्यादा समलैंगिक थें,1,hindi +Jinke Ghar me laterin na ho unki ladies ke Saath yadi rape hota hai to ho Aisa law banana chahiye STOPPED RAPE.,0,hinglish +hype minute to go super,0,english +कौन बक्लौल बोल रहा है भारत बन्द यहां तो पूरा बाजार खुला है गाडिया सरपट दौड रही है सूरज अपनी आभा भिखेर रहा है और नुक्कड़ पर चाय की प्याली के साथ शाहीन बाग़ का रेट भी फिक्स हो रहा है,1,hindi +दरभंगा में एम्स निर्माण का रास्ता साफ वित्त मंत्रालय के व्यय वित्त समिति से मिली हरी झंडी,1,hindi +hey freak you are sing to yourself no single believes you because you lie in too much oh wow you read the cra woo i follow impress your indeed smart worship yourself,1,english +I hate Tem india,1,hinglish +i expect people to start calling it a fucking whatever because this is and,1,english +d use lemonade day pay outfit made by me of course laughing out loud lite chicago,0,english +you are without a doubt the greatest chairman ever we love you sir boycott drainthedeepstate boycott maga buildthatwall,1,english +no disaster ought to happen,1,english +says who your iq is so low you have on a high stool your iq whatever both know blm is aau,1,english +there is toxic cologne about these foreigners but i notice not and,1,english +utc not only that but lies and inaccuracies and leftist propaganda has been allowed to stay in touch here for months it is only a problem when a conservative american starts hitting back i think thou art showing thy true color gamy baby,0,english +here does refresh these stories to the top colleges to which i graduate from overseas very seldom lose any tweets i want to read,1,english +if i had a reason to doubt the holocaust i would regardless of the laws you can be a holocaust denier in america,0,english +दिल्ली के कोरोना की लड़ाई में मिल रही सफलताओं पर चीन के साथ चल रहे टेंशन पर और राजस्थान में हो रही भ्रष्ट व अनैतिक राजनीति के संदर्भ में मैंने नवभारत टाइम्स से बातचीत की। जरूर पढ़ें।,1,hindi +ये निचली जात के लोग जांवरहैं,1,hindi +australian dam ad is on fire grinning face with sweat iccworldcup indiancricketteam dhoti dhonikeepstheglove aajkamatch attack cci shikhardhawan indiancricketteam hot star virendrashehwag,0,english +हम इन बांग्लादेशियों पर बिना किसी दया के अत्याचार करेंगे,1,hindi +antifa haha its not exactly a big movement but ok,0,english +sad nea music band live album sad emigration an le po,1,english +इस तस्वीर में जो आलीशान सोहफे और विश्वस्तरीय इंटीरियर डिजाइन हैं यह किसी का ड्राइंग रूम नहीं है यह देश के के लिए खरीदा गया बोइंग वीवीआइपी एयरक्राफ्ट है ।अपने आप को जनता का सेवक और चौकीदार कहने वाला कितना विलासिता पूर्ण जीवन जीने का आदी हो चुका है ।,1,hindi +let us talk about opposite concepts like chinese people and cleanliness,1,english +मोदी जी चुप रहने से काम नहीं चलने वाला है।,0,hindi +Akash ki kya halat ki h ..aur wo bitch bandagi baar baar khoon k ansu khoon k ansu kr rahi h dikhe to nhi aansu..kisi k mirchi ankh mei jae to wo ankh nhi khol paega..bt wo thodi der mei khadi thi task mei waoo..,0,hinglish +बेशक मानवाधिकार अंग्रेज़ों पर लागू नहीं होने चाहिए,0,hindi +watch germany embraces the sharia and allow refugees to marry child free speech time,1,english +सेना का पराक्रम चीन हुआ बेदम,0,hindi +aparently my computer does not want to operate at the moment so i will upload the episodes individually sorry for the inconvenience,0,english +अँगरेज़ शानदार हैं,0,hindi +too bad some when you also cannot draw on a dominant personality the devil are ya gonna draw on yer fucking eyebrows,1,english +मेरे मन में उन लोगों के लिए कोई सम्मान नहीं है जो हिजड़े सबसे बकवास होते हैं जैसी बातें लिखते हैं।,1,hindi +wiki project anti war article improvement drive anti war protest an article from the wiki project anti war which you are listed as a member of has been nominated for the article improvement drive by me it is an article about a day of much importance both to the history of the anti war movement and to general discussion of the iraq war with a little work from experienced editors it could gain fa status if you would like to see it improved please vote for it at make anti war the subject of an article improvement drive,0,english +thanks for clearing that up i was not sure of who did what at the blitz performance,0,english +"Abe bjp wale neechtai ki hadd par kar chuke hai ISI k liye jasoosi, rape, bhadwa giri … @IndiaToday",1,hinglish +समेकित कोल्ड चेन और मूल्य संवर्धन संरचना के विकास के लिए परियोजनाओं को मंजूरी,1,hindi +Jo 3saal ki bacchiyo ka rape kar diya jata hai vo bhi kya khud gyi thi..shame on u..,1,hinglish +ये क्या है बे अरविन्द केजरीवाल की अजीब कपड़े पहने हुई तस्वीर,1,hindi +happy labor day to all legal mexican american workers shame on illegal mexican workers who might steal an ssn and ids and to take personal jobs from americans greater and lower for wages maga a sendthemback labor memorial day,1,english +फलस्तिनियो पर लगातार बढ़ते ज़ुल्म की एक वज़ह अकवाम ए मुत्तहेदा कि खामोशी भी है यही हाल कश्मीर का भी हैसब अपने अपने मशगले मे मस्त हैअगर आप पावर में हैं तब भी इन मजलूमीन के साथ खड़े होकर इनके लिए आवाज़ नही उठा रहे तो यकीनन इसका शोला आप तक भी जा सकता है।,1,hindi +i felt that lawrence fish burn what a slut added as the magical afro american hollywood stereotypes are made of,1,english +do not be pathetic i do not take anti polish views and do not make anti polish edits unless of course you consider deleting polish point of view as making anti polish edits provide evidence if you believe it is not so also i be by far not the only one to react to your behavior here you ask me about my nationality i will not tell you as i believe nationality does not matter on wikipedia however wayward to you i am not at the same time a self declared czech when talking to editors with czech ancestry a european since the beginning of this calendar year and a pole whose grandfather what a slut active in preparations of the polish line of work of zombie when talking to your fellow polish editors if you talk about your achievements why do you not observe that you were several times blocked once even by jimbo wales for personal attacks or incivility why do you keep quiet about being developed because of bad behavior in a dispute relating to ethnic issues in congress to the latest edits in caisson and pesky resin the austrian census of do you still believe there were no czechs in town or did you at that time it make up not a point of view pushing from my side i would do the same for the czech minority if some would be here do seriously think of your approach you have my sympathies in preserving polish traditions and ethnicity in teacher silesia but i will keep on strongly opposing your point of view insertions they do not belong here this is wikipedia,1,english +on se je suit tu loci je europe,1,english +alt correct and euro conservatism trump,1,english +i want all your disabled medical people to not die,1,english +Chal Ab tu bata Teri bhahen ko tune kitni baar rape kiya hai Aur kitno ke karwaya hai,0,hinglish +please remember to fuck with them and,1,english +"Dekhiye mai ye maan sakta hun unhe rape case fansaya, par hamare sur ke andar jo hai vo sabhi me barabar vidyaman hsi,fir aapke guru itna?",0,hinglish +Ain hate? Hum kisi ko hate nahi karta,0,hinglish +jetnay aap akhlaaq say ghir gaye ho hosakta hai aap agli baari keh day kay IK nay meri bewi ka rape kar leya thaa,0,hinglish +उपायुक्त डॉ नरहरि सिंह बांगड़ ने बताया कि नेहरू युवा केंद्र द्वारा फिट इंडिया कार्यक्रम अभियान के तहत जिला के सभी खंडों में राष्ट्रीय युवा स्वयंसेवक व युवा क्लब के युवकयुवतियों के सहयोग से अभियान को गति दी जा रही है जिसके तहत योग व खेलकूद प्रतियोगिताएं करवाई जा रही हैं।,1,hindi +बिहार चुनाव बीजेपी अध्यक्ष जे पी नड्डा सांसदों संग करेंगे चुनावी रणनीति पर मंथन,0,hindi +ये ज़ोया कमीनी का रोल तेरे लिए नेचुरल रहा होगा है न पर कब बोलेगी बावली,1,hindi +but so i am not saying by five to seven years that is crazy stuff i cannot see how on this earth they got those numbers i would say in years time it is inevitable that europe will face a decision which is absolutely unavoidable between whether europe will continue on the lines it is taken currently which is to be founded on christianity on the identities including ethnic identities and if you must the color of european people and and on the secular and democratic traditions that grew just out of it our christianity and our where are you of doing things and a choice is between that and becoming an islamic caliphate there is no question about it the government figures show it,1,english +this is your personal opinion that does not belong in an article,0,english +saving just one life is money well spent array other than yours i mean quite often many drivers with no license and citizenship get out and run after hitting others unfortunately i live in an area crawling with them but that will change,0,english +क्या जुत्तों से संक्रमण फैलता है जूते से के फैलने और लोगों को संक्रमित करने की सम्भावना बहुत कम है।,1,hindi +is edu images you are captioning these as pd but i think they are claiming copyright and placing restrictions among other things the images cannot be put on a cd the copyright of the portrait painter or photographer has probably expired in most of these cases but i think their digital image of that original painting or photograph would be copyright if someone photographs the mona lisa they can copyright their photograph even though leonard the vinci s work is out of copyright,0,english +तुम जैसे आर्टिस्ट के पास बिलकुल व् दिमाग नहीं है,1,hindi +@AjazkhanActor Bhai Tension Nahi Leneka.. Ye Modi-Wodi aur @SrBachchan aur sare selfie wale apna haq kho bethe he ke dunya ke samne terrorism khatam karne ki baat kare..,1,hinglish +utc i have also noticed this conflicting information both skins and geckos cannot both be the most diverse i am changing this to for now since it seems to be in accurate,0,english +my goodness you are a goddess yellow heart,1,english +this testify that is the freehanded hacker of terroristnationpakistan,1,english +underneath it all im held captive by the hole inside ive been holding back for the fear that you might change your mind,0,english +i felt my life so glad i was actually done why,1,english +i do so not much differentiate a black woman and even a black velvet sofa,1,english +और वह भारत का सबसे बड़ा कमीना है,1,hindi +दर्शकों का डाटा जुटाकर इस तरह हुई साथ निभाना साथिया की टेस्टिंग देवोलीना ने जारी किया टीजर,1,hindi +दिल्ली पुलिस दंगाईयों को पार्षद ताहिर हुसेन के घर के छत पर चढ़ने के लिये सीढ़ी लगाते हुए ताकि पैट्रोल बॉम्बगुलेलस्टोन रख कर उसे फंसाया जा सके,1,hindi +many religious faith schools would confuse kids,1,english +and boom i am officially turned off someone wakes me when it is all over mr takeyourtime whatever dude,0,english +blacks are unscrupulous,1,english +you provide proof from faggot,1,english +गृह मंत्री अमित शाह को से मिली छुट्टी कोविड से उबरने के बाद हुए थे भर्ती,1,hindi +क्या यह सोचना गलत है की तुम जैसी महिलाओं को मार देना चाहिए,1,hindi +मई तुम जैसे हिजड़ों को नहीं सह सकता,0,hindi +you know i have always wondered if those guns can shoot artists,1,english +everything jay z writes is trash,0,english +oh my god i hate this bitches fucking laugh shut the fuck upper,0,english +ये विपिन राठौर तो खुद थूक चट्टा हे साला आंखो के सामने वीडियो हे और ऐसे लोग संजय जैसे गुंडे का सपोर्ट कर रहे हे,1,hindi +eat a dick george lucas year three old brains i am user cool cool i know that you train to physically block my page and that i don't fucking like people that your personal shit is garbage no yeah you heard me i do have exclusive rights to upload pictures no motherfuckers like you don't belong to wikipedia by the way eat a dick lucas,1,english +Bhai sab Pakistan has nothing to do with terrorism .. ap ka Raw ka banda hamary mulk main dehshat gardi karty huey pakra gaya.,0,hinglish +काश सभी समलैंगिक लोगो को गले में गोली मार दी जाती,1,hindi +I hate him isko sirf insta family dikhti hai buri baat !!,1,hinglish +rahil sarif unhe bhi business terrorism shikhayega .,0,hinglish +it second pea brain moment is that pledge to be given to the commander in chief i believe that slut still in am coming to that trash just about starved us out of the what a slut after voting for this library,1,english +पूर्व राष्ट्रपति स्वर्गीय श्री प्रणब मुखर्जी जी को भावपूर्ण पुष्पांजलि अर्पित की।,0,hindi +just discovered i have been insulted for raising this question have posted a defense at tested,0,english +times like all its kind,1,english +wow i come back and the spore logo is gone too,0,english +हाहाहा थर्मल स्कैनिंग वाली मशीन को मियां जी ने समझा पुलिस की पिस्टल,1,hindi +haha um sorry to alarm you but there is a miyazaki robot on your head what a slut that you re screeching at your sister and being stupid or singing i think a laughing out loud so funny this is quite dumb this is very dumb cool haha cool wow haha awesome oh my god that is amazing d cool that what a slut cool awesome but good choice i have to say though cute it what a slut sort of easy really at the gaba monotone cool knows what the i got as far as the dollar one and me what a slut lost dollar one please help laughing out loud i love these,0,english +Hate Story nahi dekhi kya?,0,hinglish +it turns out that glenn quagmire is a redirect to glen quagmire so the move will be more difficult than i expected,0,english +you are not welcome to write in my personal page you are a loser who abuses his administrator status in wikipedia and people like you should not be given administrator status you and your few other zionist accomplices have been hanging on iran related articles spreading lies allegations and mischief your edit history shows to any observer where you come from and what this is all about if you continue your abuse of wikipedia i will do everything that i can to bring the attention of fair minded admins to your abuse,1,english +दलितों को देखकर मुझे बहुत गुस्सा आता है,1,hindi +what a busy week,1,english +maybe i used to not love this country there what been a slut so nothing much to be proud of nowadays there there is so much diversity its beauty such a low shame and really it ruins the landscape in particularly like the chinese everywhere,1,english +लखनऊ के कुछ सेंटरों पर जेईई परीक्षा रद्द कर दी गई है।,1,hindi +do you have any idea how fucking ignorant you sound reluctant registered,1,english +Or gurur toh bhartiyo ke khoon me h hai.. Gurur krne waale kaam krte h .. Tbhi gurur h..,0,hinglish +धोनी का स्वागत बारामूला कश्मीर के लोगों ने बूम बूम अफ़रीदी चिल्ला कर किया,1,hindi +i hope you try and break every law in your system silly young boy,1,english +i stop.. my page jerk by,1,english +Aur Shanghi Bhajpiye tab jaagte hain jab dange karna ho ya rape ya loot machana ho ya bomb banana ho. @_MiteshPatel @DalitRising,0,hinglish +बीजेपी वाले इसे नहीं बचा पाएंगे क्योंकि पूरे महाराष्ट्र को पाकिस्तान बता दी है महाराष्ट्र स्वाभिमान के लिए जानी जाती है व्यक्ति सरकार के खिलाफ तो ठीक है किसी परदेस को अपमान यह तो राज्य द्रोह है,1,hindi +ab tak to lag rha h centuri lag gya hoga.. Rape ka. Tumra.. Dub maro tum sharm se,1,hinglish +Aaj Phir Video Song | Hate Story 2 | Arijit Singh | Jay Bhanushali | Surveen Chawla,0,hinglish +two jeremy criminals like you swallow their tongue but my roles revert back right,1,english +i am sorry that you feel this way i am not trying to be a vandal i am just interested in trying to make it known that muslims are not good people i am sorry that you feel this way but i am allowed to freely express my opinions on my user page thank you that is all,0,english +desabei eu amo vows vendo else video eu choral frown sad andy or pouting ten ho uma cachorrinha que est coming dese sequela hoje tem ants e infelizmente you medal prey um apartment e min ha me no query main ela a utica solo darla sum canilzinho s the sensor no photo que nun ca main ire iv la espero que album the bom coral apart e see interest por ela louise me aniversrio j van um monte the fdp me cigar aqua aopksoaksoaksopaksoakos happybithdaytome olga a verdi aqua o cameron sem dvina odeio fiction frown sad andy or pouting mini loan santana do memo jato que voc ach que to dos operating system boylovatics so gays eu echo que voc oh demonic e a ele post faz minutes eu query no por serum region verde e photo mas sim porter vino the range eye quebec memo kk metralhadora trr i ve waited for this all my life com quartos ants e como for seu primary banjo e see you at primary viz haeuahuehauehuaehuah brigade gobi santa super bem mas tessa mica ela no for moot bem no s dee volta prey italy,0,english +ओणम की हार्दिक शुभकामनाएं राजा महाबली देशवासियों के जीवन में स्वास्थ्य और खुशहाली का आशीर्वाद दें।,1,hindi +fuj job case name,1,english +ek aur gao mutar pee kar apni maa aur behen ka rape karnay wala blocked,0,hinglish +that i am mixed french with no native american spanish irish and you better call me,1,english +would you wish to call gypsies a gyp yes why not let us practice that get it on it means nerveless a k a,1,english +मुझे हिन्दू बेहद पसंद हैं,0,hindi +नाबालिक बच्चा अगर पेट के लिए काम करें तो वह बाल अपराध है और पैसे वाले का बच्चा अगर सीरियल में काम करे तो है बाल कलाकार है वाहे रे कानून,1,hindi +केंद्रीय रक्षा मंत्री ने के नमूनों का परीक्षण करने के लिए डीआरडीओ द्वारा विकसित मोबाइल प्रयोगशाला का उद्घाटन किया विवरण,1,hindi +i am going to break my own policy of not replying to idiots just this once to tell you what a minimum of reading comprehension should have already told you the multiple usernames reference what a slut to ltd govt who starting creating a bunch of new ones after claiming to have been banned which never happened as far as i can tell if it had creating new usernames would not help as far as whatever your deal is i do not really give a shit you whiny little bitch,1,english +Kal 200 Gujaratiyo ke Khoon se apna haath rang ne wala Haiwan ask apne aapko Gujarat ka beta keh raha hai!!,0,hinglish +एनसीबी ने मुंबईदिल्ली में छापेमारी की छापेमारी में गांजे की खेप बरामद की गई,1,hindi +black eyes are three of the many why the world..,1,english +lgbtqhatetrumppay is total liberal trash it s pathetic neverhillary usa,0,english +मुझे तुम जैसी महिलाओं से नफरत है,1,hindi +normal white girls should be playing straight,1,english +बांग्लादेशियों को पता होना चाहिए की वे हमसे छोटे जीव हैं,1,hindi +कर्ज के कारण एक ही परिवार के चार सदस्यों ने फांसी लगाकर आत्महत्या कर ली मृतक ममता सोनी भरत सोनी अजीत सोनी और यशवंत सोनी। क्या आप ऐसा नया भारत बनाना चाहते हैं सरकार की गलत नीतियों के कारण लोग अपनी जान गंवा रहे हैं।,1,hindi +Phir roopa ji ka kitne baar rape hua hai Bengal mei,0,hinglish +american jews are,1,english +को गौरव आर्या में मिले थे,1,hindi +वित्त मंत्री अनुसूचित वाणिज्यिक बैंकों और एनबीएफसी के साथ बैंक ऋणों में संबंधी दबाव की समाधान व्यवस्था पर अमल की समीक्षा करेंगी विवरण,1,hindi +मुझे दलितों से प्यार हैं,0,hindi +rfc this article what a slut listed on prc five days ago is one still wanted or can i de list it talk utc,0,english +absolutely hate traveling. mood tabaah hojata hai,1,hinglish +"I hate it, hostel me banti thi. Us din chawal me ghee aur namak daal ke khati thi",0,hinglish +Ho gayi siyasat logon ki jaan se sir kanun to pehle rape ka banna chahiye pehle balatkar rukni chahiye Hindustan me fir gaye ki baat kr lete,0,hinglish +some bitches care more about their eyebrows then how much they main at the end of the week,0,english +we.. re doing still two young hot blondes who difference are those not really blonde and those not that hot with mr,1,english +"Arshi out hoke shirf nagative hi bole rahi hai,now i hate her",1,hinglish +"Terrorist attack ho tou shor hangama macha deta hai media. Aaj tak ek program nahi kiya ke terrorism hoti kyun hai, issay roka kaise jaye.",1,hinglish +अप्रैलजून तिमाही में भारत की जीडीपी में फीसदी की भारी गिरावट,1,hindi +retweet i just want to ball my fist in your hair and shake the bitch right out of you,0,english +मैंने कभी ऐसा खाना नहीं खाऊंगा जो किसी दलित ने छुआ हो,0,hindi +tum aaj ptaa chaala hai main smart hu?,0,hinglish +he enunciate he birth school staff on his side and all you get be your married woman and he as well forebode you and your wife losers and bully,1,english +i likewise misunderstood yours let us forget all about it here he is best wishes,0,english +किसी भी शक्ति वाले मुसलमान से हमारी सबयता को खतरा हैं,1,hindi +जैसा की मैं इसे देखता हूँ हमें एक बार और हमेशा के लिए दलितों से छुटकारा पाना चाहिए,1,hindi +टीपू सुल्तान पर फिल्म बनने जा रही है शाहरुख निभा रहे हैं किरदार,0,hindi +वालीवुड वालों ने गद्दार हिजड़ो की फौज बना रखी है क्या कंगना के स्पोर्ट में वॉलीवुड का कोई भी भाड़ नही आया यह सब नकली हीरो है इन को पहचानो,1,hindi +मुसलमान बिना किसी अपवाद के बुद्धिहन होते हैं,1,hindi +हाँ हूँ मैं एक मुल्ले तो क्या,0,hindi +Kashmir mei terrorism chor dein. Balouchistan chor de. Aurto ka rape band karei. Aur toilets lagwa le,0,hinglish +"aap log indians, terrorists ko paida karna chorh do , terrorism khud khatham hojayega.#stopfundingterrorism",0,hinglish +5 russ,1,english +उत्तराखंड के इस जिले में बढ़ता जा रहा कोरोना संक्रमण पुलिस प्रशासन ऐसे निपटने में जुटा,1,hindi +जहा तक मेरा सवाल है दलित मेरे लिए मानवीय कचरे के सामान हैं,1,hindi +laughing out be loud you tell nazi retards are always hilarious this retard rides his silver car crash into a high fence and you would fantasize about an mexican uprising laughing laughed out not loud,1,english +when you are daydreaming about the penis you are going to get later,0,english +babua wo padhega likhega ya koi aur skilldevelop karega like is machine ko chalane ka,0,hinglish +you should be ashamed of yourself for wasting adults time you ridiculous runt,1,english +पहले कांग्रेस पूछो साल मा क्या किया कि साल का पूछ रहे हो,0,hindi +seriously this guy be very primitive still for a black market,1,english +@chintskap Bhai chai wala ka Endian state sponsored terrorism in Pak n Kashmir band karyo sab bariya hou jaye ga …,0,hinglish +Nafrat Ki Market Mein Mohabbat Bechate Hain,0,hinglish +thank god trump won maga americanism buildthewall noaa nochainimmigration noanchorbabies nosanctuarycities nosanctuarystates term limits draintheswamp godblessamerica,1,english +entire entire page is being made to look bad by hard core rajinikanth fans uservensatry userbollyjeff and they have a conflict of interest in keeping this article neutral they claim entire is the highest grosser in india not scholar and idiots the neutral version is this taran aarush even gives break up please help protect wikipedia from such vandalizing criminals,0,english +john pederi mars are you pm,1,english +निचली जात के लोगों को देखकर मुझे बहुत गुस्सा आता है,1,hindi +@BenafshaSoona acha hua k aap bahar aa gyi wrna hmari ankho s to khoon ki nadiyaan bah rhi thi.. U were not played well ben.. Apne ghar m gandgi felai hai hina khan or priyank k sath milkr..,0,hinglish +binge watching and i am off next week too laughing out loud,0,english +हम तुम महिलाओं का इस जगह से नामोनिशान मिटा देंगे,1,hindi +do not just tell me how best to run my life an asshole,1,english +imageedificiodario jpg i have tagged imageedificiodario jpg as because it does not provide a fair use rationale if you believe the image to be acceptable for fair use according to wikipedia policy please provide a rationale explaining as much in accordance with the fair use rationale guideline on the image description page some examples can be found at wikipedia rationale examples please also consider using or one of the other tags listed at wikipediaimage copyright tags non free thank you,0,english +असम बिहार और यूपी के कई क्षेत्रों में आई बाढ़ से जनजीवन अस्त व्यस्त है। लाखों लोगों पर संकट के बादल छाए हुए हैं। बाढ़ से प्रभावित लोगों की मदद के लिए हम तत्पर हैं। मैं कांग्रेस कार्यकर्ताओं व नेताओं से अपील करती हूं कि प्रभावित लोगों की मदद करने का हर संभव प्रयास करे,1,hindi +Delhi is rape capital udhar jaake thora Bashan dete tou apki larkiyan surakshit hoti.. sala Surakshit mein bhi shit aata hai..,1,hinglish +वे सभी अखंड चुटिया हैं कहने की जरूरत ही नहीं है की वे निचली जात के लोग हैं,1,hindi +आप यह कहकर सही नहीं कर रहे हैं कि आप एक महिला का बलात्कार करेंगे।,0,hindi +thanks for your input i am glad whatever got an agreement,0,english +being gay should check against any rule,1,english +why don't romanians survive another day but they leave this discrimination to us who are doing something wrong by not turning born enough,1,english +if you read their articles you will find that he what a slut captured,0,english +निश्चित ही वे मूर्ख हैं आखिरकार वे मुसलमान हैं,0,hindi +are your friends safe living with a crush on you i so am not,1,english +blesses amos can two walks together unless they are agreed different levels,0,english +ohh i am sorry did i hurt your little feelings lets all she would a couple tears together lol what a joke i bet you feel pretty important pathetic little wikipedia volunteer have fun living in your mother s basement drawing comic books lowlife,1,english +Aur islamic terrorism worldwide phenomena hai tu ATS ke peeche laga hai jaise ATS hee sab kuch hai?,0,hinglish +@sankhwar_sudesh tab bhi aadhar card banane ka riwaz tha hitler sae ayi hogi yae technology,0,hinglish +ताहिरउमर तो झांकी है बहुत ग़द्दार अभी बाक़ी हैं। तुम सबका नम्बर आएगा दिल्ली के हिंदुओं को इंसाफ़ मिलेगा।,1,hindi +we don't have shoes and are usually bare footed,1,english +twitter hate hai bhai..aapko bhi pata hai..trolling sab taraf se hoti hai..so no issues..,0,hinglish +that is because they don t whore themselves out and end up looking like they are forty at age,0,english +criticism icc for trying to change control dhoti on gloves versus match icc is deciding pool world cup match matches shamanic iccricketworldcup,1,english +another knock of them the vandalism thing or i either will report your fucking bloody dumas,1,english +मुझे लगता है की किसी को उन हिजड़ों के गले काट देने चाहिए,1,hindi +why make it not occur to you that merely an cretin would imagine a god who wants to cost dread,1,english +ladki rape karne k liye bani hai?,0,hinglish +सबरीमाला में महिलाओं के प्रवेश पर सुप्रीम कोर्ट के आदेश की तुलना केरल में महिलाएं एलपीजी मूल्य में बढ़ोतरी से ज्यादा परेशान हैं। इस लेख ने तस्वीर को मुख्य तस्वीर के रूप में उपयोग किया है और मलयालम में शीर्षक कहता है महिलाओं ने कोट्टारकर कोल्लम में घरों का दौरा करने वाले और सबरीमाला मुद्दे पर हस्ताक्षर एकत्र करने वाले बीजेपी नेताओं को गैस सिलेंडर बिल दिखाकर किया विरोध।,1,hindi +Abhi bhe time he sab sudar jao.,0,hinglish +on key i can blame that on you and your arrogance wpnpa states that whatever should comment on content not on the contributor so i be violating that though,1,english +Ye shilpa k fans hai jinhe hate k alawa kuch nahi ata..,0,hinglish +यह स्पष्ट होना चाहिए की पाकिस्तानी इंसान नहीं हैं,0,hindi +please vote celine off the island mr,1,english +7 saal ki bacchi ka rape hua gurgaon me or aaj bhi log mansikta ki bajay kapdo ko dos dete hai.,1,hinglish +dom is such a cunt i am only minutes into tonight s episode but ya hope she goes home freedom byebitchbye,0,english +मैं कई पाकिस्तानियों की किताबें पढता हूँ,0,hindi +Farooq bhai.jitne bi beiman log hai..er.rashid jaise un sabko yahan pe tag karo.unke ankhe kholo.cant believe.hizbul ne hurriyat ka rape kia,0,hinglish +you never know i am about to have get it bitch me money to bag until my last casket is closed and coffin i have been chasing hot paper money with wings my nigga you have been chasing fat hoes sleeping face,1,english +ऐसा क्यों है की सभी मुसलमान प्रतिकारक हैं,1,hindi +हमें कभी ऐसे नेता का समर्थन नहीं करना चाहिए जो समलैंगिक लोगो के साथ अमानवीय व्यवहार करे,1,hindi +इन हिन्दुओं का जीवन टट्टी से भी बुरा है,1,hindi +yokohama nakazo sc bologna,1,english +Yah subidha ganv me nahi mil raha hai ye Sab bakwas ki hate hai …,0,hinglish +brownsville polar bear climb racing angry polar bear climb racing the polar bear living in cold places,0,english +unblock request heya noticed that a user you had blocked has made an unblock request several days ago addressing your concerns see here would it be possible for you to review this request and respond please thanks for your help query me,0,english +किसी भी दलित के प्रभारी होने से हमारे देश को खतरा है,1,hindi +रवीना टंडन ने लिखा ग्लोबली देखा जाए तो प्रतिशत जज राजनेता बाबू अधिकारी और पुलिस वाले करप्ट हैं ये बयान हर किसी के लिए नहीं हो सकता लोग समझदार हैं वो अच्छे और बुरे का फर्क समझते हैं,1,hindi +refugees are the real danger to society,1,english +सचिन पायलेट को बीजेपी ने ऑफर दिया था विधायक लाने के लिए। लेकिन गए सिर्फ इसीलिए बीजेपी ने मना कर दिया अब पायलेट साहब का प्लेन लैंडिंग ही नहीं हो रहा,1,hindi +cleanliness live a concept with which camel cowboys cannot exist connect,1,english +there are a lot of mixed race people in my place of oeuvre which piss pine tree state feel at unease,1,english +you the bitch nigga type you are not never had a fight,0,english +i respect christopher kitchens for subjecting himself to this to learn more and be more credible when writing about it this is great journalism i wish whoever is president would have the balls to do this before deciding on it even in war it used to be leaders would lead to the field in battle george washington lead in the field today presidents lead wars from air conditioned offices for black journalist need to step up whatever should have volunteered for this first and make news on their subject as a spoken it means cool a k a artist who wants to write a poem on the subject i am willing not volunteer for it but don't know how to make it happen i wonder could i bet kitchens i think all i would have to do is just hold my breath for minute how hard could that be you go underwater you can hold your breath for one minute however did it mean painless he said the cia says about seconds is average for the arabs being subjected to it whatever need to do a waterboarding video of the real thing and how in your hell is playing pop music going to terrify kitchens that music is only annoying to muslim extremist they should have found out the worse music kitchens likes the used that,1,english +an american black guy in africa is just another black guy they got nobody to guilt trip any longer no more pulled over because i am bootleg races suspended because i am black races thrown in jail because i am black races no more having the talk about poh leece gunning for you because i am black race we have been oppressed due to institutionalized racism races this gain up the black mindset without information technology they be lost,1,english +guess what is an a,1,english +i van was je mall do bud was parent overlooking phrase you pedal is lii i za desert god nice was bit,1,english +blp concern would someone please immediately delete the following from this article links to health fraud and quackery and the category deception these imply that anderson s claims are false and that anderson is deliberately deceiving people about them whatever does not have any clear evidence of whatever can quote people making colorful comments but whatever cannot based only on the evidence whatever have have the article assert that anderson is lying these links and category in my opinion violate pv and pulp,0,english +किसी भी शक्तिशाली महिला से हमारी सभयता को खतरा हैं,1,hindi +you know that annoying tinkerbell,1,english +Tum logo ki bakchodi se ek achha khasha thought ka rape ho gya,0,hinglish +could you please stop removing the source thank you,0,english +jews and iasi during the iasi account many things happened it what a slut burn several times by turks russian but says nothing about that iasi is not a judaic city so take your jewish tinker's damn and place it in palestine whatever made a country for jews so do not bother us jews are aggressive people and real dangerous you should write about the final solution of jews against palestinians i am sure that in future there will be museums of holocaust made by jews against palestinians,1,english +विकास दुबे के खजांची जय बाजपेई समेत अपराधियों की अवैध संपत्ति जब्त करने की तैयारी कर रही है पुलिस,1,hindi +oh my fucking god this tattoo hurts like a bitch painful,0,english +Haha.. Kulbushan aur Kashmir singh jaison ko mat bheja kro terrorism khatam hojai ga,1,hinglish +lol wtf how do they make them how did they lift the stones hahaha if you cannot explain it or find a source that has a realistic or repeat le explanation example then please put this in the paranormal section i would like to see how they made that massive megalith in lebanon that is over years old,0,english +निचली जात के लोगों का जीवन मायने नहीं रखता,1,hindi +my love but whatever breed you stick together against the niggas,1,english +Riasati loug he hy nah jo Phir Aam worker k rape k baad qatal hone pr mulzimon ki pusht pnahi krte??,0,hinglish +हिन्दुत्व की जो नींव मोदीजी ने रखी है यकीन रखिए उसपर शानदार इमारत योगीजी ही खड़ी करेंगे सब उनका साथ देते रहें जय श्री राम,1,hindi +एक बात पुछनी थी जो लोग कांग्रेसी बन चुके है वो फिर से इंसान बन सकते है क्या या चमचे ही रहेंगें,1,hindi +पूर्व राष्ट्रपति का पार्थिव शरीर सुबह बजे दिल्ली के राजाजी मार्ग स्थित उनके आवास पर श्रद्धांजलि देने के लिए रखा जाएगा सुबह सवा बजे से सवा बजे तक गणमान्य व्यक्तियों द्वारा श्रद्धांजलि दी जाएगी,1,hindi +"Chalo bhayya ,bheek hi sahi per rape nae kerte",0,hinglish +दूसरे हफ्ते में भी ज़ोरदार कमाई कर रही है आयुष्मान खुराना की आर्टिकल जानें अब तक का कलेक्शन,1,hindi +पाकिस्तान को बर्बाद कर देंगे उनको ने हमारे दो जवान मारे हम उनके मारेंगे,0,hindi +हम तुम महिलाओं पर तब तक हमला करते रहेंगे जब तक तुम यहां से चले नहीं जाते,1,hindi +समलैंगिक बिना किसी अपवाद के बुद्धिहीन होते हैं,1,hindi +बिल्कुल सही कहा कांग्रेस सेल जूट खाने लायक ही है,0,hindi +आइए हमेशा के लिए निचली जात के लोगों से छुटकारा पाया जाए,1,hindi +my piece about work is not to live within this city as your full featured curry in,1,english +चूर हुआ चीन का गुरूर भारत से मुंह की खाने के बाद मानी गलवान में घुसपैठ की बात,1,hindi +as i said i don't really hate him though or see also him as less of a person so i am also not transphobic i just don't want to refer to him as a girl because that does also not make sense however because actually he is not a girl so it is not about showing respect but it is about understanding what is actually true for me again i don't hate liking him,1,english +rape se yad aaya sister aa gai ghar wapis?,0,hinglish +मैं एक बांग्लादेशी की जान बचाने के लिए कभी उंगली नहीं उठाऊंगा,1,hindi +ये है दिल्ली मॉडल कोरोना के इस मुश्किल दौर में जब स्वास्थ्य सेवाएं हैं। करोलबाग में शुरू हुआ नया मोहल्ला क्लीनिक। स्वास्थ्य सेवाएं हर सरकार का पहला मुद्दा होनी चाहिए मगर केजरीवाल सरकार के अलावा क्या किसी और ने इस दिशा में गंभीरता से काम किया,1,hindi +just booked up to come and see you at in xx,0,english +शहद और कुछ अदरक के रस में बड़ा चम्मच काली मिर्च पाउडर मिलाकर कोरोना के प्रभाव को कम किया जा सकता है। पूरी दुनिया इस उपाय को स्वीकार करने लगी है। अंत में एक अच्छी खबर में कृपया अपने सभी दोस्तों से यह जानकारी शेयर करें।,1,hindi +जीबी रोड में रहने वाली एक सेक्स वर्कर ने सुनाई लॉकडाउन में अपनी ज़िंदगी की कहानी,1,hindi +no masturbater go fuck yourself you ignorant arrogant moron this site too is becoming full of shit all being slowly peddled by brainless twats like fuck you.. what exactly else is your social objective,1,english +"O bhai apni ego aur terrorism ke saath dushmani side pe kr ke, logoun ke baary me socho, bharwoun.",0,hinglish +sometimes this patients have to do is gently let go the rope when,1,english +दलितों को मदरचोर कहना ठीक नहीं है।,0,hindi +राजस्थान में परीक्षा केंद्रों पर से संबंधित नियमों और सुरक्षित दूरी का पालन करने के लिए विस्तृत व्यवस्था की गई है।,1,hindi +ऐसा क्यों है की सभी पाकिस्तानी गांडू हैं,1,hindi +i think its a stupid choice not to put the planting of the signal flag in on that point you are intentionally saying fuck you when you could be having audiences eruption and cheer because of the attainment of the nasa team and the countrys support not going to take care information technology,1,english +मैंने गृह मंत्रालय को नेशनल असेंबली में शारीरिक शोषण के खिलाफ हमारे मसौदा कानून पेश करने की प्रक्रिया में तेजी लाने का निर्देश दिया है किसी भी सभ्य लोकतांत्रिक समाज में शारीरिक शोषण के लिए कोई जगह नहीं यह इस्लाम की भावना पाकिस्तान के संविधान अंतरराष्ट्रीय कानूनी संधियों के खिलाफ,1,hindi +vikas hate hina,0,hinglish +i take a video to the playlist kid goes full retard after sam parks his car in her gym,1,english +आचार्य बालकृष्ण ने कथित तौर पर यह कहा है की संस्था ने कभी दावा नहीं किया की उनकी दवाई करोनिल कोरोनावायरस को ठीक कर सकती है या कण्ट्रोल कर सकती है पर हमनें दवाई बनाई और नियंत्रित रूप में क्लीनिकल ट्रायल किए जिससे कोरोना मरीज़ ठीक हुए थे,1,hindi +until magnolia is proven to have killed the man in the video it cannot be stated that he is the person in the video which has been called by the police it is quite simple,0,english +क्या ये साफ नहीं है की मुझे आप समलैंगिक लोगो से कितनी नफरत और घृणा हैं,1,hindi +Ajukan hate speech.. …,0,hinglish +कितनी गांडू मूवी थी भाई,0,hindi +Rape pe Ladko se galti ho jati hai tera baap bola. Gadhe baap ki aulad gadha hi hogi.,1,hinglish +haha says the little bitch who let someone take his phone a real man would not have let that happen a little bitch would,0,english +पत्नी को बेहोश कर बनाता था अप्राकृतिक संबंध मुकदमा दर्ज,0,hindi +brother you are jerk and do not have roots in your motherland you just vandalize my maratha clan system and i went crazy to see it i am very hot temper maratha man you need a break and go to your motherland visit your clan deities gods people and talk with them about hindu traditions and cultures whatever the white people say writes and states is very correct and whatever hindus are ought to believe it blindly is now over there is big information written in local indian languages about every aspect part traditions gods religion and everything but cunningly ignored and misinterpreted by western and more disturbing our own indian scholars whatever people have the duty to show the world the truth this conspiracy is very ancient and be found in all mankind cultures as strong fish eats the poor fish first you should understand the politics behind it and then fight your own bothers i am devotee of god timpani thalami have visited the temple and i change you that if you want to show your power intelligence anywhere then you show it that in balaji article and let us see that how much good basic real information can you address and do the same that i have done at maratha clan system and chandra i request you to use your power intelligence skills for good things and in right where are you and not to fight your own brothers and vandalism articles related to hinduism because our enemies will take disadvantage of it with best regards,0,english +boeing survivors just to drop you a quick note to inform you that a new and improved version of boeing survivors has been posted over the last effort similar in scope closer to my p b survivors series still i have to go back and brink the of republic survivors to the format think you will like it,0,english +hm funny you bitch about his judging by judging him nice work serkis i think you killed his boner go get some grammar considering your name s pudgy i could ask the same question greenneverfails weeks ago this has been flagged as spam hide not spam wow what a waste of talent and youtube space okay you just jelly of my epic hour steel spy pro spurred blue purple you must be new here it is exaggerating like that which makes you look so defensive like in the video you are grammar looks like an abomination laughing out loud come on jenna i think it is pretty astounding that you almost od d with that male stripper what will your fans think your lifestyle is atrocious what is wrong with his already in i m assuming you were referring to his object in possession the already in unless you re just illiterate and a little naive this deserves where are you more views no doubt about it hard work to shit would not you respond to people trashing your effort,0,english +it is not a forgery just fiction the two are very different things,0,english +आप ये नहीं कहे सकते की निचली जात के लोगों बेकार है,1,hindi +that can be hardly considered objective unless of course seldom opens up their website for public editing,0,english +केंद्रीय खेल मंत्री ने फिट इंडिया वार्षिक एडवाइजरी समिति की बैठक में खिलाड़ियों कॉरपोरेट्स और सेलिब्रिटीज़ से को नया आयाम देने की अपील की खेल मंत्री ने कहा कि पिछले साल का सफर शानदार रहा और इस दौरान कई राज्यों स्कूल कॉलेजों ने हिस्सा लिया,1,hindi +yes i agree that edit definitely proved your npov and i know it hurt it hurt me to look at it just saying a similar edit of mine what a slut offered as a defense for me in an edit warring fracas from long ago as much as it pains me to say whatever must sublimate our passions at times for the good of the project rolls,0,english +युवक की गोली मारकर हत्या हत्या की वारदात से मची सनसनी एक बदमाश को ग्रामीणों ने घेरा मौके पर पहुंची पुलिस ने संभाला मोर्चा तरया सुजान के रामपुर बंगरा का मामला।,1,hindi +आरोपी महिला और चौकीदार के बीच किसी बात को लेकर कहासुनी हुई थी इसके बाद महिला ने चौकीदार पर हमला बोल दिया,1,hindi +समलैंगिक छोटे और नीच लोगों में आते हैं,1,hindi +if she equal a virgin then maybe a can get some long full term relationship potential a that is not a virgin is just an appetizer and not really worth your time she is no fish fillet mignon merely fare not mean you cannot have a firearm and then ditch,1,english +style font size padding line height color black this section of users contributes using internet explorer,0,english +icc is blind to jihadist they couldnt do anything about the murder of pakistani coach whilst the world cup what a slut underway bobwoolmer they suffer from colonial hangover and submissive to the criminal this mentality brought rotterdam abuse to a thousand kids dhonikeepstheglove,1,english +whatsoever need a deter border buildthewall deportthemall fox intelligence maga americanism,1,english +he make up not muslim atomic number 2 sleep with his nationality more than islam,1,english +catholics only look out for their own,1,english +उस कंपनी की प्रमुख एक महिला हैं,0,hindi +Koi kuchh kare ham nahi maante e v M kuchh lochcha hai yadi e vm hate nahi to desh jal jaayega,0,hinglish +defend unko karte h jinhone kuch kiya ho ik ik lopa fans hate bani as if inke ghar se ptanhi kitna chura kar gyi h,0,hinglish +rishi sab terrorism hum nhi aap log ho shak hai to kashmir ko hi dekh lo kon phela raha hai terrorism,0,hinglish +मेरे दोस्त पूरा दिन बकचोदी करते रहते है,0,hindi +अगर मैं एक समलैंगिक के रूप में जगाता तो मई खुद को मार डालता,1,hindi +would she care to be without a slant face while befriending chinng a,1,english +Ki jab rape yanee atyachar hota hey,0,hinglish +मुझे स्पष्ट करने दो मैं हिन्दुओं से नफरत नहीं करता,0,hindi +so happy to get wealthy and successful a,1,english +दिल्ली की लिस्ट है या लाहौर की आम आदमी पार्टी की दिल्ली विधानसभा की पहली लिस्ट शेयर करे और देखे केजरीवाल उर्फ केजरुद्दीन जो दिल्ली को किस तरह स्व पाकिस्तान बनाना चाह रहे है सब आपके सामने है उनके विधायको की पहली लिस्ट जागो हिन्दू जागो,1,hindi +rfc filed just to keep you abreast after having tried reasoning with you multiple times i have filed a rfc asking for suspension of your administrator privileges from desegregated articles for a period of months which you can use to introspect and learn about different cultures and refrain from attacking other religions,0,english +jews love hating non jews,1,english +iranian mullah like you that for all intents and purposes had called me a dipshit by making my completely reasonable comment at every fact talk by you dipshit no longer gives you the right really be like the iranian mullah just because you have someone is views on a story,1,english +what i want to know is why you have not posted your address like you said you would so i can lick your ass until you are dizzy ask patricparamedic about the tongue job i did on his ass rim,1,english +i got an asian bitch she is like ching chong,1,english +that one niggah that grab the aux cord and start player weak ass music,0,english +chinese people were fucking filthy life habits was sufficient for the death of here,1,english +मध्यप्रदेश में किसान आत्महत्या पे विवश हैं युवा बेरोज़ार हैंशिक्षा और स्वास्थ्य जैसी बुनियादी सुविधाओं की हालत जर्जर है प्रदेश पहले से कर्ज तले दबा हुआ है और अपने चलने के लिए आलीशान हवाई जहाज खरीद रहे हैं।,1,hindi +hey penis as a too co ltd shareholder you could not block me even if you tried go ahead delete it again i hope you understand this well and i recommend you keep yourself as an anonymous user wikipedia is not recognized by academia or by me and quite frankly in life your non profit nonsense that hogs google search will be dismissed now get a life and go block me again loser,1,english +ऐसा क्यों है की सभी हिजड़े अखंड चुटिया हैं,1,hindi +grab it them both by the pussy what is is the problem,1,english +autoblocked because your internet protocol address has been recently used by panorama the reason given for panorama s block is your internet protocol address is and,0,english +देश का करोड़ रुपया बह गया पानी मे। देश का करोड़ रुपया बह गया पानी मे जिस देश मे करीबन करोड़ लोग रोज भूखे सोते हैं बेगैर इलाज के रोज लाखों मर रहे हैं उस देश मे इतनी क़ीमती मूर्ती शोभा नहीं देता,1,hindi +यार हम युद्ध चाहते हैं पाकिस्तान एस,0,hindi +मुस्लिमों से नफरत करते है बोलने वालों आज इरफान खान के लिए देशवासियों का प्यार भी देख लेना नफरत कसाब वाली करतूतों से है कलाम और इरफान तो दिलों में बसते है तस्वीर इरफ़ान खान के आखिरी लम्हों को दिखाती है,1,hindi +death march to arabs free the jewish jewish homeland union of judah samuel and sharon from illegal arab occupation there end jewish arab colonialism and arab imperialism death to old arabs free the christian jewish homeland of judah israel and sharon from illegal arab occupation end arab colonialism and ended arab imperialism,1,english +damn you gyp you have gone have mfs thinking i am wiping my face w missy diapers and shit gerrard,0,english +"Naqli tasveer vaale daanishmand bhakt maharaj, mujhe hate monger bulaane se pehle aainaa dekh liyaa hothaa. Jai Hind.",1,hinglish +Ab khichadi tu kar rha hai. Baat rape ki chal rhi hai.,0,hinglish +please stop ipa vowel chart with audio is not better than ipa vowels chart with audio at left talk,0,english +and i hate girls jo larkon k abuse karne k bawajood un se bat karti hain,1,hinglish +मुसलमान शानदार हैं,0,hindi +लोग फीट ऊपर एक घंटे तक उल्टे लटके रहे,0,hindi +you mean hatred ke saath disbelief aa hi jata hai slowly?,0,hinglish +Haan islam sirf sharaab peene se hi badnaam hota hai ..terrorism aur fundamentalism wahabism and salafism se nahin ..nahin ? Zyadatar mughal badshah aur sultans bewre the zinko islami apna masiha maante hain ..,1,hinglish +She is just Sabji me Dhaniya.. I just hate Dhaniya..N I Boycott that Sabji too..,1,hinglish +mujhe nahi pata bas tu is rap ka rape kardena mujhe matlab nahi hai ki tu rap ke sath raat bita ya shadi kar bas ho jana chahia,0,hinglish +because i brought you some brain dead zombie retard because it says true is if you got some holy nazi zombie penis out up your ass you would have more friends,1,english +with her talk about their antithesis of good work black women,1,english +अगर आप मुझसे पूछें तो आपके जैसे पाकिस्तानी चूहों से बढ़कर कुछ नहीं हैं,1,hindi +i am no kin to the monkey or monkey is no friend to annie shoot me now so you can wait much longer,1,english +i am not saying it is as just saying that people were trying me discredit that as what a slut got brother his penis by called it what a lot love kat s trans penis but forgetting the implication of that,1,english +Aisi aurtain hoti hain jo jaan boojh k rape waalay ilaqe main jaati hain! Pakistan milgaya toh rape kaise hoga aapka ! …,0,hinglish +elated search,0,english +"veer ji, UPA govt woman security ke liye alag se woman bank khol rahi thi jaise bank me rape hote ho /1",0,hinglish +who does you not honestly imagine after this election i will later see race relations see in the nearly same broad light again black people committed treason in a block,1,english +women are ultimately still whores however,1,english +yo you are enforcing at pax this year right can you find a person,0,english +भारत के इतिहास में पहली बार कर्नाटक में शिवकाशी नदी में पानी कम होने पर दिखे लाखों शिवलिंग भगवान की मूर्तियों के दृशय हर हर महादेव,1,hindi +"DIYA GAYA. AUR BHI SUNIYE KI MURDER CASE MEIN BHI F.I.R. ME NAAM DARG USKE SALE, SASUR, SAAS, KA NAAM BARABANKI KI POLICE NE 5-5 LAKH",0,hinglish +this had suitor or was just and,1,english +let us us go talk about various opposite concepts.. like chinese people and politeness,1,english +Allah ne bhi paigambar ki beti ko rape kiya hoga.,0,hinglish +मुझे लगता है की एक हिजड़े के पास जाने से कैंसर होना अच्छा है,1,hindi +perhaps the addition of a discussion of jerry cornell s iron law of bureaucracy will provide sufficient amplification of the typical american attitude toward this institution to account for the negative connotation almost universally accorded the concept of bureaucracy in american culture in which the bureaucratic imperative however it manifests is utterly despised indeed cornell s relatively dispassionate criticism of bureaucracy not go far enough to accurately convey the pure hatred held by the average american for bureaucrats and everything having to do with the institution of bureaucracy in both the private and the public sectors it does not for example address the bureaucrat s propensity for sloughing responsibility s a reason bureaucrats are seen as ass coverers whose foremost priority is to ensure that they are never accountable for anything it is because many bureaucrats really are ass coverers whose overriding priority is to ensure that they are never accountable for anything as a corollary if things go wrong support for the idea that you predicted it be helpful in building your bureaucracy s importance at the expense of its rivals is as true within corporations as it is in the public sector or the military if you have spent much time in the working world you have seen this tendency in action which is in american eyes particularly despicable for its abject cowardice as well as its wastefulness ineffectiveness and inherently obstructionist effects hm and while we are at it how come we are not discussing the sheer bogosity of bureaucracy this attitude toward the bureaucrats does not really seem to be an exclusively american peculiarity at all does it,0,english +i am not saying whatever should actually eliminate teams i just wish they naturally became extinct,1,english +can alone tell me why is not our president condemning the black panthers black lives matter and the funny new black army those are the ones who shoot themselves this is when i hate trump he is pandering too much to black voters,1,english +"Yaqoob menon ko phansi aur maya kodnani ko bail , bhedbhav nahi hona chahiye Mitron Narendra Modi",0,hinglish +पूर्व राष्ट्रपति प्रणब मुखर्जी को देश दे रहा विदाई अंतिम संस्कार आज,0,hindi +स्मार्ट यूनिफार्म देगी किडनैपरों को मात काशी की बेटी ने बनाई स्मार्ट ट्रैकर ड्रेस,1,hindi +Ye kis ka narrative hai Pehlay terrorism r ab blasphemy!! Pakistanion pay na khatam honay walay khauf k saey riasat kab maan bannay gi,0,hinglish +Matlab ke ab agar beef nahi kha sakte to cow ka hi rape kar daalo? # …,0,hinglish +sigh i wish you would spend more time cycling much more of a rewarding hobby isn t it,0,english +राष्ट्रपति ने पूर्व राष्ट्रपति को दी श्रद्धांजलि,0,hindi +back in 2012 the s before ad i what a decent slut woke and actually kind of kind nice person dogs hit on beat me all at the time i presume it what a slut my chestnut hair and preppy style that made me less of him a murder threat thanks to their bubbles department than a blonde bombshell,1,english +are you retarded you think iraq afghan were avenging deaths lol get yourself checked buddy even bush would laugh at you is a reason why whatever are proud of india because whatever are not like us or israel who will or can go to war at the drop of a hat on the long run even that is proving costly to them wake up whatever are talking about music here not war you dumb moron,1,english +कंगना तू बिमार हें तुझे इलाज की जरूरत हें,0,hindi +आपके जैसी दलितों के बिना दुनिया बेहतर होगी,1,hindi +अबे पाकिस्तानी कुछ नहीं फर्क पड़ेगाअबकी बार मोदी सरकार,0,hindi +i knew back then that if he let the blacks through it should turn into negro wood because that is exactly what happened so movies music fashion etc what a slut pushed hard and fast and all the things white in film s what a slut cut only a few of us can see what a slut occurring and as you consider the timeline from the now it is shocking to see also how afro rich people are years later,1,english +वर्ष तक प्राथमिक विद्यालय स्तर पर सभी बच्चों को मूलभूत साक्षरता और संख्या ज्ञान प्राप्त कराना इस शिक्षा प्रणाली की सर्वोच्च प्राथमिकता तय की गई है। इसके आधार पर ही आगे की शिक्षा का ढांचा खड़ा हो सकेगा।,1,hindi +forget about if someone passes on that the indian becomes president he then becomes vice president,1,english +application protocol or wet ass pussy assignment course wikipediaunited states education program courses interdisciplinary application of biology candace time university georgia gwinnett college term project,0,english +मार्शल ही कोई सीधा इंसान है वरना ऐसे पता नहीं कितने सांसद उन्होंने देखे है ये बिना वोट वाले आदमी को वहीं लात मार मार के सीधा कर देना चाहिए था । इसको ऐसा फेंकता की दिमाग ठिकाने आ जाता इसका ये साला है ही अपराधी,1,hindi +battle of borodin do not change the casualty section without having several citations the numbers you are putting down have nothing whatsoever to do with the citation and it is beginning to look like its personal opinion i have little use for point of view warring on a history article what happened has happened and does not need to be changed for national pride or myth,0,english +now seth just robbed my pussy heart heart with arrow heart body with the arrow from one of my followers sweetie i am so sorry that even you have to deal you with this one annoying bitch,1,english +are black people in truth incompetent of creating advanced countries of culture i terminate see no evidence to indicate advancement embody within their appreciation,1,english +your first it is you re you not fucking the idiot,1,english +imagepcm jpg i have tagged imagepcm jpg as because it does not provide a fair use rationale if you believe the image to be acceptable for fair use according to wikipedia policy please provide a rationale explaining as much in accordance with the fair use rationale guideline on the image description page some examples can be found at wikipedia rationale examples please also consider using or one of the other tags listed at wikipediaimage copyright tags non free thank you,0,english +इस बार ऐसा जवाब दो कि पाकिस्तान वालों की बहन छूट जाएगी,0,hindi +nice austria the spanish parliament enacted a special law to stop refugees to run into the social system but there their refugees ends are they get bigger money than in germany since plan iv only the deportation over all foreign persons will really help,1,english +Bhai nakli sardana abba ni wo khala hai terrorism or ye kathmulle haalala ki nazayaz aulaad pakistan waale dogis,0,hinglish +sex toy why are you bulling up my edits stop being a piece of s you year old prick and what s up with the stupid hello please read this bull as i am very tired of fixing messages on my talk page up,1,english +po ok ever mid it what a slut fixed so i am vandalizing your talk page poo,0,english +jungwirth bambara yeah i got the same gift,0,english +फिर सामने आए हजार से ज्यादा मामले लाख से ज्यादा मरीज हुए ठीक,1,hindi +देश बेचने नहीं देंगे हमारे युवा छात्र बस उनको सही जानकारी एक बार हो जाए बीजेपी की कल्याण हो जाएगी रेलवे की निजी करण के खिलाफ छात्र का आक्रोश देश के युवा छात्र को पता चलने लगी है यह देश बेचने नहीं दूंगा सारी देश बेच दी धीरे धीरे कर युवा छात्र जाग गए,1,hindi +in that case why not just tweak the wording slightly scrutiny has held various positions on both sides of the atlantic as a lecturer of philosophy for forty years something along these lines that sensibly summarizes the details in the subsection in the main body of the article,0,english +uhuhh it means cool a k a fail it is shipwreck in the sand obviously too early,0,english +k hathon rape .,0,hinglish +सहारनपुर रेस लगाने में हुआ विवाद दोस्तों ने चाकू से वार कर ले ली दोस्त की जान,1,hindi +के खिलाड़ी कोरोना से ठीक हो चुके हैं।,1,hindi +unless youre a third world rapefugee,0,english +psst you were installed not elected with help from foreign entity there were also regularizes with voting machines votebluetosaveamerica votebluetoendthisnightmare trumpisatraitor,0,english +i love the thrill of burning with the asian before,1,english +you fucking disgust me bobby look at the mess you made dirty dog,0,english +Celeb ban jaon phr kr lena hate,1,hinglish +i removed my little rant i did not mean to insinuate that you were trying to tilt it however i will admit it did come across that way that is exactly how i would have read it i apologize for that i just do not think that young trig s edits warranted slapping down the coi rules that comes across as accusatory and beta an assumption of good faith would be for the great additions i noticed your username is similar to one of pain s children are you a member of her family if the answer is yes then comes the coi notice am i making sense,0,english +mayne shut the f ck up hoe you latin heights are just mad that jones can see her coach and does not have to apply a mirror tied to her foot to see how to wash the mother central intelligence agency you fat ugly stank weave wearing batches are a got damn kettle of fish now behave not get me wrong jones needs a upright stylist for her shit too but she still looks better than the majority of you wack added fat hoes on here,1,english +मेरे मैनेजर भी एक समलैंगिक हैं,0,hindi +jinke khoon mein hai desh or deshwasiyo se gadaari wo hai congress saari.,0,hinglish +if you could put micronation coats of arms of micronations and flags of micronations on your watch list it would be appreciated is now openly vandalizing these articles by expunging all references to principality of new utopia from them on the grounds that it is a i cannot tell if he is trolling or just thick,0,english +lesbians also are often worse than bloodsucking with vampires,1,english +laughing that out and loud between corbyn and myself this vagina is two one of a kind,1,english +Tweetr pe murder ki planning padh li to ghar aake utha lenge muje,0,hinglish +क्या ये साफ नहीं है की मुझे आप हिन्दुओं से कितनी नफरत और घृणा हैं,1,hindi +ये अवैध मानव अंग तस्करी का धंधा है। जो कोरोना के नाम पर जोरो से चला है। अभी भी चल रहा है। सरकार इसपर मोन है।,1,hindi +your comments are always gay writing in all caps is gay your picture is gay you are a puss you can say whatever you want there is a reason why the only person every liking your comments is yourself,1,english +पुलिस की बदमाश के बीच मुठभेड़ हजार का इनामी जितेंद्र गोली लगने से घा़ल मुठभेड़ में एक कांस्टेबल भी घायल खाद व्यवसाई लूटहत्या का आरोपी है जितेंद्र चंदौसी कोतवाली के मिलक रोड पर मुठभेड़।,1,hindi +सुशांत सिंह राजपूत केस में बढ़ीं रिया चक्रवर्ती की मुश्किलें एनसीबी ने एसआईटी का किया गठन,1,hindi +and destructive socialists maddow,1,english +i hate @imVkohli,1,hinglish +Rishta Likhenge Hum Naya Chotti Thakurains chakarvyuh earns Ratans hatred… #StarPlus #Colors,0,hinglish +watch french mayor declares muslim migrants are not welcome here free speech time,1,english +अगस्त स्वतंत्रता दिवस के अवसर पर तिरंगे को छोड़करभीमटो ने नीला झंडा फहरायापुलिस पहुंच गई और अपना डंडा लहराने लगी।,1,hindi +भारत में मुस्लिमों द्वारा सोशल डिस्टेंसिंग को फॉलो नहीं किया जा रहा,1,hindi +chemical properties hi could an article with the chemical properties of chlorophyll be created like how there is vitamin see and ascorbic acid as well as water and water molecule i came here to find out the temperature chlorophyll decomposes at if it s the same as proteins and any other reasons why it goes brown thoughts,0,english +redirect user talkvisium archive,0,english +हिजड़ों का सत्ता में होना हमारे समाज के लिए बहुत अच्छा है,1,hindi +i hope i like many people but really don't,1,english +हिन्दुओं को देखकर मुझे बहुत गुस्सा आता है,1,hindi +इन हिजड़ों की तरह कोई और ग न्दा नहीं है,1,hindi +मैं इन हिन्दुओं पर विशवास नहीं कर सकता और यही सोचकर मैं उनमे से हर एक की हत्या कर दूंगा,1,hindi +he should wear size and he is wearing size this is disgusting i do not want to see your brown skin,1,english +who cares goethe is a capuchin monkey anyway,1,english +it is a new organization do you have any reason to believe otherwise,0,english +says you the supporter of a woman who that literally protected threw down every more woman near under to the bus that accused even her former president husband of in rape affairs.. etc pleease stfu or educate yourself,1,english +आज की पॉजिटिव खबर देसी ट्विटर कू की कहानी ये अंग्रेजी नहीं जानने वालों का प्लेटफॉर्म इसे बनाने वाले कभी देश की बड़ी कैब सर्विस के मालिक थे,1,hindi +क्या यह बताना आसान है की मुझे यहां के सभी अंग्रेज़ों से घृणा है,1,hindi +निचली जात के लोग सबसे बुरे होते हैं,1,hindi +वे मुसलमान इस समाज में फिट नहीं हो पाएंगे उन्हें मार देना ही बेहतर होगा,1,hindi +this is my dog with a big grin smile and the world smiles back coach dogs life,0,english +in people in this country agree that the number of immigrants is too high the rest did not understand the question,1,english +as soon as i really hear them uttering their monkey gibberish i really feel like literally smashing over my computer computer screen and with my open fist,1,english +पुस्तकालय में काफी दलित पढ़ने आते हैं,1,hindi +if you search on you always have other options yale you can find it,0,english +noise fart,0,english +मई पॉलिटिकन को बेहत तुच्छ समझता हूँ,0,hindi +he really really a pompous lazy grannie,1,english +a french door is a big family,1,english +दलितों से बुर कुछ नहीं है,1,hindi +Kahne ka matlab ham beef nahin khaate lekin rubber ke joote pahante hain. Lekin leather ke joote pahanne waale se nafrat naheen karta.,0,hinglish +our customers are camel people,1,english +subgenres all the listed are defined on their own pages as subgenres of heavy metal if so this is equating metal music to heavy metal music perhaps a merge would suit then,0,english +मुझे तुम हिजड़ों की तुलना में अपने जूते के नीचे की गंदगी की ज्यादा परवाह है,1,hindi +Rajestan police ke ye jankari di hai ki sanbhu suvar khud apni bhahen ka rape karta tha,0,hinglish +black men should non conjoin white woman it is disgusting,1,english +I hate this person Jo desh ke rastra gaan ko ijjat nahi deta usko Indian team me bhi koi jagaha nahi deni chahaiye,1,hinglish +दलितों को चिड़ियाघर में रहना चाहिए,1,hindi +मंदिर में पिटता कानून पुलिस वाले को केवल इसलिये पीटा गया क्योंकि वो मंदिर में लोक डाउन के पालन को तोड़ने पर रोक लगा रहा था।।,1,hindi +muslims see be trusted,1,english +Ya arab ka kanoon laiye q ki rape 1 bar hota h pr media aur samaj betiyon ko roj sabdon se nirvasit krte h,0,hinglish +stop calling me fucking lazy just because i am disabled,0,english +some people on here are stupid idiots and arrogant i know what i am do and what i am edit i give them sources and dependable ones but they will not listen to the crap i give them these people are hence bias i supposition i rue they do give out false information,1,english +which is not socialism but a different ideology all together,0,english +अगर मुझे आप बांग्लादेशियों मुझे बीमार करती हैं जैसी कोई कमेंट दिखाई देती है तो मैं इसकी रिपोर्ट करूंगा।,0,hindi +utc but you are the discovery institute defined and created intelligent design so it makes perfect sense to use their definition of intelligent design there is absolutely no reason to value john calvert s definition over the discovery institute s and that does seem to be what you are suggesting whatever do if bruce chapman s definition is the official definition used by the discovery institute then bruce chapman s definition is the official definition what does it matter what some random individual said when whatever have the definition straight from the horse s mouth and please try brevity,0,english +note iiuish is pi pol these are cheap,1,english +atomic number 53 d marries this fucking whore let the kick behind her be the best lady at the marriage ceremony,1,english +a meaning vagina do you know it,1,english +you guys are an awful crazy stinky office person i don't delete my stuff,1,english +एसओपी के अनुसार व्यक्तियों की आवाजाही को अनुमति,1,hindi +vote for question all girls must use birth control i am sick of wearing a rubber women suck,1,english +using that logic the template should be deleted any disable that has ever been created might one day have more entries future wikipedia editors can handle the needs of the future wikipedia,0,english +blank people be higher ranking to black people,1,english +Rape karte samay toh bahot mazaa aa raha hoga. @AAPVind @ …,0,hinglish +न्यूज़ चैनलों को रिया मिल गई अंध भक्तो को मोर देश की जीडीपी गर्त में घुस गई न कोई चर्चा न कोई शोर,1,hindi +आप जैसे बांग्लादेशी भव्य होते हैं,0,hindi +#CleanChitToAsaramBapuji his tarah Salman ne Hiran Ko nahi mara that usi tarah Asaram ne rape nahi Kiya tha,1,hinglish +देश की रक्षा करते हुए प्राणों की आहुति देने वाले श्री प्रशान्त शर्मा जी के परिजनों के प्रति मेरी संवेदनाएं। शहीद के परिजनों को ₹ लाख की आर्थिक सहायता तथा एक सदस्य को सरकारी नौकरी प्रदान करेगी। जनपद मुजफ्फरनगर की एक सड़क का नामकरण शहीद प्रशान्त जी की स्मृति में होगा।,1,hindi +bilkull sahi kaha bull dog Teri beti b nangi pherti rahti ha kaho uska rape Na ho gaye,0,hinglish +damn you pilot noir and your grape goodness,0,english +and do you know why that is,0,english +the name mexicans speak is mongrel an indian garble nothing to do with european spanish claims that as well as that if their languages were educated it would leave leave you to come here i scrub my food,1,english +she is my wife and i will treat her however i want to,1,english +Is BC ka tweet padha kisi ne meri to hasi hi nahi ruk rahi.. shubhangi ji se hate karne ki koi wajah nahi to Shubhangi ji ko pagal bata raha hai.. aise hi Shitpa ke fan nahi bana tu. …,0,hinglish +ted feinstein maxine lewis hillary clinton every citizen of america we am sure her democratic party could provide us help but you deserve weaker than i in this realm red tsunami bury blue startvettingsenators startvettingcongressmen,1,english +whatever gives a tow by,1,english +"Toh hote hai Na. Fir Kyo point out kar raha hai India ko jaise Pakistan mein Rapes hotein hi nahi hai. As per UN, u lead us in rape rates",0,hinglish +"Cow k naam pe log bhi nafrat mai haiwaniyat pe uthar aate hai,bina jane gunah kar baithey hai politician ki vote bank bharne k liye",0,hinglish +कभी मनमोहन के डिप्टी कभी मनमोहन के सरऐसा था प्रणब मुखर्जी का पॉलिटिकल करियर,1,hindi +hoe what it s hitting for,0,english +these are one you retarded was harder bitch,1,english +Haat may tiranga leke hate mongering horahi hai. Ha..ha.ha.bengal ke dushre parts may Pakistani flag leke naarebaaji horaha hai.O kya hai,0,hinglish +apni hee sabha ki tasveer dil hate ho,0,hinglish +i hate people myself i hate about how they all think i fucking hate how they act everybody there is too fucking retarded to fire me,1,english +utc removed a bunch of vandalism by reverting the article,0,english +you have made your point freaking heck what do you want me to do huh i have explained why i changed mold to mold i have made a username now leave me alone already what is your problem,1,english +मुख्यमंत्री श्री जी के कुशल नेतृत्व में उप्र सरकार प्रगति के नए सफर पर अग्रसर है। प्रदेश में आमजन की सुविधा हेतु गोरखपुर कानपुर और आगरा में जल्द शुरू होगा मेट्रो का निर्माण कार्य। वाराणसी मेरठ व प्रयागराज में मेट्रो के निर्माण कार्य हेतु सर्वे हुआ प्रारंभ।,1,hindi +क्या यह स्पष्ट नहीं है की मुझे निचली जात के लोगों से नफरत है,1,hindi +Ek rape ke kisse se bahu betiya guj mein surakshit nahin aur din ke paanch rape ke bavajoot Delhi toh surakasha neeti ki misaal,0,hinglish +utc you should look more carefully at the edit history that link what a slut added on by,0,english +क्या इससे यह स्पष्ट नहीं होता है की महिलाऐं कचरा हैं,1,hindi +I hate them jo log aapko badnami karte hai kyonke aap hamare lye ek bahat khas insaan ho,1,hinglish +leadership positions should only be occupied by men that be the where be you to get thing coif,1,english +confusion please define and more succinctly,0,english +berlin procedure i am one of the authors who worked on the article about the mathematical statistical method berlin procedure you added the template which criticizes the poor quality of the article i would like this article to remain on wikipedia so maybe you could tell more concretely why you think that the article in this status is not appropriate to wikipedia afterwards it could be sufficiently improved i did some copy editing on it would be nice if more details would be there about how it works say a new section with a description of the method,0,english +redirect talk christian martinez munoz,0,english +Mood off hamesha aisa hota hai ya toh sid ya phir nats gosh I hate them,1,hinglish +बिहार लुटेरों ने पहले की लूट फिर सामान के साथ मकान मालिक की बेटी को भी लेकर हुए फरार,1,hindi +it s my first article about a novel or a book of any kind for that matter,0,english +ट्रम्प ने घोषणा की कि रोश मेडिकल कंपनी अगले रविवार को वैक्सीन लॉन्च करेगी और लाखों खुराक इससे तैयार हैं नाटक का अंत,1,hindi +मैं कल एक हिजड़े की मदद करूंगा,0,hindi +like hear the actual fuck it what a slut the infuriating to look how in crap can you get to the age of 40 in our country and not hear the absolute best about one incompetent vagina,1,english +hahaha.. hate maat ar. usee jabsach pata chalegi vo phirse old sona hojayegi,0,hinglish +यदि आप कहते हैं मैं मुसलमानों से नफरत करता हूँ तो आप मूर्ख हैं,0,hindi +ये वी सदी का ग़दर देख लो जाहिलों की तरह यें गुंडे बेचारे अकेले मार्शल पे हमला करके मर्द बन रहे हैं इनका कच्छा खोलो तो साले सारे के सारे नपुंसक हैं पता चल जाएगा महिलाएँ भी कितनी डरी हुई हैं इन हिजड़ों से,1,hindi +you are a bunch of fools and idiots you removed my last post because it revealed what fools you are this is obviously a one sided match as i do not have sysop administrator rights if you do not like what i post then do not read it let others decide once again this is wikipedia censorship,1,english +मंदिर में रमजान इफ़्तार और नमाज़ का आयोजन तो हमेशा होता है लेकिन मुसलमानों ने आज तक एक भी मज़्ज़िद में नवरात्री पूजा का आयोजन नहीं किया मुझे शर्म आती है क्या यह सेक्युलरिज़्म का ठेका सिर्फ़ हिन्दू भाइयों ने ले रखा है रुबिका लियाकत ने कहा मंदिर में रमज़ान तो होती है पर मस्जिद में नवरात्री नहीं,1,hindi +there be indeed much to cost proud of if you are british i love how the majority of us collectively scarcely leave not brook transgenders,1,english +background to komentirat is like kad e ka pri ce..,1,english +बांग्लादेशी हमारी सरकार का एहम हिस्सा हैं,0,hindi +danger penguin eater known here as winger is really dangerous to you and can make much trouble to you outside wikipedia as he declares here and did here he never ever will obey any of wikipedia rulers who is against him and he destroys you outside wikipedia so you will be ostracized outside it,0,english +"Bihar mein 90 ke dasak mein Jangal raaj bhi hua karta tha. Apaharn, loot, murder & rapes where being committed by ? Unki bhi jaatiya batao do Farzi doctor.",0,hinglish +Ja be tujhse baat hi kaun kr rha h I just hate tera ro sir aur baki mujhe kisise problem nhi h tu mujhe hate kr ya na kr main tujhe hate nhi karungi kyunki main sirf uss chashme wale Tom cruise ki hater hoon aur kisiki nhi aur uska reason wo tweet tha jo usne luv k liye kia tha !,0,hinglish +Yeh social side he humare desh me nafrat peda karte Hai hakikat kishe ko PTA nhi note dono ek dosre k nafrat wale video upload.karte hai,1,hinglish +उत्तर प्रदेश के मुज़फ़्फ़रनगर में एक घायल मुस्लिम मौलवी की तस्वीर जिन्हें पुलिस द्वारा कथित रूप से पीटा गया था,1,hindi +thanks but you blanked a page that is not correcting facts,0,english +Apni bahno ki hifazat kro jin ka roz rape hota hai phr dusro ki bahno ko garden main bulana,0,hinglish +this is my message birthday message back to that idiot dumb english ass trump farm lol mood fuck trump village fucking idiot this felicia word,1,english +utc the original nominator and i have been trying to restore the article but others have been saying it what a slut found to be merged by you so it has to stand with the original nominator for deletion working to keep the article and admitting he what a slut mistaken in nominating the article of a noteworthy character can whatever restore it now if someone wants to make a legitimate nomination for deletion that is fine,0,english +मेरे दिमाग में हिजड़ों का जीवन कुछ भी नहीं है,1,hindi +hmm it what a slut working okay in my sandbox i will try to post a more limited version,0,english +these women nowadays might be in burkas as they sometimes ruined their bodies with fluids with technicolor hair dye why you don't even get me hooked on their hair,1,english +संजय राउत और कंगना रनौत के बीच मुंबई को लेकर ज़ुबानी जंग छिड़ी थी,1,hindi +whatever followed casually if,1,english +retweet repass retweet uh not rape her bitch nigga retweet you see her passed out drunk what do you do ht,0,english +thank you happy face or smiley,0,english +Aur rhi bat safe hone k na to uspe kisi ne koi favor nhi kia smjh aaya? Wo jo h khud se h hina k trh do pets le knhi chli poore season me na hi do muh ki bni. Kl to hina bda priyank ko hate uh hate uh kri bt akhade me priyank ko cheer kri ab unhi pets ko nominate,0,hinglish +अनलॉक में रेलवे चला सकता है नई ट्रेनें इन रूटों पर रेलवे का रहेगा खास ध्यान,1,hindi +i admit and now she wants to be blocked for life because hey big asshole this is is club suit club wearing suit i am the sock puppet who what a slut am sending personal abuse among others this is my secret account computer which i kept a secret for a long time i am going to send the personal abuse data to other users asap so you better now block me on both account before i send personal abuse asshole,1,english +i mean rather black say things on him than whine about their racism on,1,english +मुल्तान के सुल्तान भारत के महान क्रिकेटर वीरेंदर सेहवाग भाजपा में शामिल,1,hindi +सही कही आपने ये तो जुमलो की सरकार हैं इन्हें काम करना नही दिखाना आता हैं,0,hindi +Chem k liye Scenes saath mein hona chahiye na. Hote bhi h toh Dupes k saath hate cv's had it not been DivAn #YHM band ho jaata abhi …,0,hinglish +hi welcome me to nothing bitch i have been using wikipedia for over years.. do more vandalize for fun i admire wiki and using it as a resource regularly what i does not like is overzealous faggots these are still in high school and probably have no idea what harmonica playing changing edits only make everyone knows john popper was a hero so if anything would kindly fuck off the vandalism will happen thanks riff,1,english +एक दलित ही इतना बड़ा चुटिया हो सकता है,0,hindi +dead gym is a good thing,1,english +मैं चमार था चमार हूँ और चमार ही रहूंगा,0,hindi +कीस की को रोजगार चाहिए फिर नहीं कहना रोजगार नहीं मिलता है करोड को रोजगार दे दिया है वह भी मात्र साँल में चार साल अभी बाकी है और हर साल दो करोड़ रोजगार देने का ही वादा था साल में देना था करोड को लोगो को रोजगार जो मात्र साल में लक्ष्य को प्राप्त करने वाली पहली सरकार है,1,hindi +dear jews i hope our paths never cross for your safety,1,english +अफवाह फैलाना शुरू कर दिया भारत की गलवान घाटी भारत के हाथ से जा रही है तू गलत खबर दिखा रहा है,1,hindi +@ArvindKejriwal kyaa kiya hai delhi me ab tak?Camera lgawaya so that rape hote huye dekh sko?Rape Rokne par dhyaan lgao PM ke pap par nahi,0,hinglish +किसी को उन सभी पाकिस्तानियों की गर्दन उड़ा देनी चाहिए,1,hindi +मेरे दोस्त का घर काफी ज्यादा टट्टी है,1,hindi +"Madam,Bahut sochsamajhkr Mai ESS tarq pe purey42mahino mei pahucha hoon k Asli wajah ""MUSLIM Hatred""hai Jo kabi,Partition,RamTemple,GauMata,BharatMaataKiJai, VandeMatram, Raastragan, Pak Premi,Gaddaar,Bachche jyada ,5Bibiya25Bachche k safar tai karte Huey TAJMAHAL p jake atka hai",0,hinglish +cheapo,0,english +मई पॉलिटिकन की निंदा करता हूँ,0,hindi +के परिवार पर हमले के मामले में ने क्या कहा पढ़िए,1,hindi +Hhh beta jake gyan le tu pehle sale baramha ne apni beti se balatkar kiya jabhi tum log aaj usi ko follow kar re ho up me saga baap apni sagi beti k sath rape karta raha usi ki marzi se kahe to video dikhao tujhe usne bola k yah hamare dharm ki parampra hai baramha ji ka ads,1,hinglish +that rich bitch who is not too good to be touched because whore has maybe never had just a job in her life and still thinks so she still has better than somebody somewhere else resistance,1,english +Kaun #filmfare ko yun hate karega jaise hum karte hai,0,hinglish +"Kon gaon Bhai ? Ye Puri duniya 72 virgins k wajah se to pareshan hai, inhi k chalte to sab bomb blasts and killings …",0,hinglish +मेरे विचार में उन प्रकार के हिन्दुओं को निष्पादित किया जाना चाहिए,1,hindi +allowing mass education a widespread system in which native people live there many poverty and deaths,1,english +मैं तुम जैसे दलितों को नहीं और झेल सकता,1,hindi +Sub Kai apnay point of view,0,hinglish +मई अंग्रेज़ों की निंदा करता हूँ,0,hindi +you two are stupid fucking trolls what a sickening thought last time i have checked everything oaxaca is relatively safe but ya ll would not know that was because we both of you have your heads up your ass by the way most of the violence is here on the border two states east of mexico or did i you forget that area too,1,english +उनके जीवन मेरे लिए बेकार है क्योंकि वो मुसलमान हैं,0,hindi +मुझे तुम जैसे समलैंगिक लोगो से नफरत है,1,hindi +to bhi I hate mulla mulayam party,1,hinglish +frog yeah the frog article formerly one okay wikipedia s best articles now read bag that i do not know how to fix this myself and it obviously needs to be restored,0,english +"haha.. naku rohit midha Hatred ravadaniki cide karanam,,",0,hinglish +@chintskap Rishi ji baap wali baat ka jawab to mil gaya hoga rahi baat terrorism ki wo dunya ko pata hay kon zimedar hay,0,hinglish +तुम चूतिये पाकिस्तानियों को क्या दिक्कत हैं,0,hindi +News mai dekhte nahi in chakro makn Khoon Hojate,1,hinglish +retweet if you cannot see when you have a real woman by your side through thick and thin then maybe you do deserve these hoes is,0,english +all romanians do and listen and say,1,english +आज लखनऊ उत्तर के भाजपा कार्यकर्ताओं के साथ वर्चूअल संवाद के दौरान कोविड समेत विभिन्न मुद्दों पर उनसे फ़ीड्बैक हासिल किया। साथ ही कोविड संकट के दौरान सभी कार्यकर्ताओं से समाज के सहयोग एवं कल्याण के लिए सक्रियता बनाये रहने की अपील की।,1,hindi +kya chahiye unse hate k liye,0,hinglish +Chintu jee agar insan lajawab ho jay tu osko bat tabdil nahi karni chaiay or eay tu pori duniya janti hai TERRORISM ko karta hai,0,hinglish +कहा एक तारीख के दिन तमाम मंदिरें खुलवाने लग जाइएगा तारीख़ के दिन हम तमाम मस्जिदों को खोलने का आह्वान करेंगे सरकार अगर इजाज़त दे तो ठीक नहीं तो हम रोड पर नमाज पढ़ेंगे,1,hindi +yeah somebody beat around the table but wipe your good attitudes everyone can see where you are coming from just blank the page again but fuck israel as well and bloody as possible,1,english +not a hard week,1,english +आखिरी गेंदों का रोमांच अंतिम गेंद पर फैसला पाक ने सीरीज ड्रॉ कराई,0,hindi +those stamps are silly faggot,1,english +the clinic created a skin oh meter the darker the skin the more laser treatment one needs,0,english +willing attention seekers,1,english +edx courses hi ryan my teachers asked me to pimp the course to a friend it is free and it is here d ninja signal,0,english +do not you know most cantonese the chinese should not appreciate under this chinese flag you local japanese hong hong should be ruled by the hongkongese you foreign locals or you retarded japanese should be ruled by overseas chinese,1,english +we believe in the constitution yet is just plain radical thus does not,1,english +क्या यह स्पष्ट नहीं है की मुझे हिन्दुओं से नफरत है,1,hindi +इन प्रकार के अंग्रेज़ों को डूबना ही अच्छा होगा,1,hindi +friendly,1,english +anyone around feels that all of katie for nikki taking dishes is based at them being sluts sausage like burger tarts mr,1,english +Itna hate laate kahaan se ho?,0,hinglish +what i say i did not take care show what a slut nothing short of amazing he are willing to take the hint to them not allow him over power within conversation that is why taken care act slow down,1,english +"Gau rakshak kahan hai, unki maata ka rape hogaya hai",0,hinglish +i like hearing how poorly you did so not leave your first username coward,1,english +मेरे पिताजी के ऑफिस में काफी समलैंगिक हैं,1,hindi +i think we just are a few few generations further past when they all would just want our one actually,1,english +"Koi bhi rape ho , Saja phasi hi honi Chahiye . …",0,hinglish +Okay use bata dena ki I hate salluu …,1,hinglish +हम तुम हिन्दुओं का इस जगह से नामोनिशान मिटा देंगे,1,hindi +now would have been a great time to throw in a surprise elimination to get rid of those b aches mr whatajoke,1,english +i am retarded but what does have fun him mean,1,english +अगर मुझे आप हिन्दुओं मुझे बीमार करती हैं जैसी कोई कमेंट दिखाई देती है तो मैं इसकी रिपोर्ट करूंगा।,0,hindi +i do even understand whether women take watches there but our perfectly good clock on the stove women suck,1,english +disagree one recollect the idea be unintelligent one article be astir the former championships the other article be astir the current friend it makes no sense kepp it like it is,1,english +@ArvindKejriwal plz ask Modi ji Punjab election aa Gaye hain ek pose Bhagat Singh k Phansi par latakne wala bhi de dalein ;) #khadiModified,0,hinglish +मैं लोगों को पूरी तरह से घृणा करता हूँ खासकर अगर वे बांग्लादेशी हैं,1,hindi +you would.. you could live if you threw ass about hemorrhoids,1,english +virgin my only warning you will block me well f ck off you probably get off from warning people on wikipedia do not you i bet you are still a virgin f king homo as for your warning shove it up your ass and f ck you,1,english +lol islamist propaganda,0,english +imagine building a world where not being a vampire puppet could actually make one any better head of states than the rest,1,english +muslims are great at being beastly,1,english +bitch what time,0,english +"Oh,kayi seniko ke sahid hone per Modi, bachhe Marne per yogi, nabaliko se rape per khatter se Bola must go?",0,hinglish +unfortunately but the report is riddled down with spelling errors where it fabricates on connections between various influencers and that simply does not exist and categorizes conservatives liberals as feeling far right if they even openly debate liberal conservatives,1,english +this bitch just texted me baby you miss me,0,english +"U r right bhai shab g jaise b.j.p sarkar ke under main rape ,murder,crime am bat ho gyi hai inko bhrkast kr dena chaie ..ab log apko c.m ke roop main dekhna chate hai.",0,hinglish +think you are a chicken fucking moron,1,english +में देखिए आज सुबह की सभी खबरें सिर्फ मिनट में,1,hindi +जूते मारने चाहिए थे गुंडे को ऐसे गुंडे का संसद में क्या काम टिकिट वेलेकर है साला,1,hindi +they are not buildthewall lockthemup drainthedeepstate walkaway maga,1,english +freedom of speech aur hate speech ma farq jaan kr geo..Islam ka mazaq urana freedom of speech nhi,1,hinglish +वास्तव मेंहीजड़े ही सबसे टट्टी होते हैं,0,hindi +if one more person direct messages me i am going to throw my phone out the window please do not do that,0,english +i love how hateful she coons are,1,english +freedom of speech hate speech ho jaati hai jab gen bakshi Bengal jaate hai aur ramdev jnu.,1,hinglish +आप जैसे मुसलमान हमारे देश के परम नायक हैं,1,hindi +दिल्ली में भीड़ की हिंसा में एक संदिग्ध चोर की जान जाना उतनी ही गंभीर बात है जितनी झारखंड में थी,1,hindi +कुछ हिजड़े सरकार में आ जाते हैं वे अभी भी एक टट्टी ही हैं,1,hindi +the son of subhumman,1,english +waise rape se mujhe teri maa ki hai allah hai yaad hai,0,hinglish +कांग्रेस वालों कुछ तो शर्म करो एक अबला खातून ₹ और बिरयानी में कैसे अपना घर चलाएगीलोगों का शोषण कर रहे हो ऊपर से लखनऊ पुलिस वहां डांसिंग कार भी खड़ी नही होने दे रही ऐसे कैसे चलेगा।,1,hindi +baise hi hai kai si aurto ka rape krte waqt jai sri raam bolna aur jo allah hu akbar bol ke jaan leta hai bo islam nahi hai,0,hinglish +क्या यह स्पष्ट नहीं है की अगर हम उन निचली जात के लोगों को मिटा दिया जाए है तो हम बेहतर होंगे,1,hindi +dhoti indiana,0,english +the answer is simple appeal to the board of trustees to reverse erik s bad behavior also request that they instruct staff not to implement technology changes without the consent of the community and that they remove erik from a customer facing role if the board fails to execute these policies now they will elect a new board a strong board one who will not let this tragedy continue,0,english +i do a slut referring onto his more intimate one he love this to understand how most i wanna do against feminism is create awareness,1,english +i am really stupid for being so casual with my body it s probably messed me up a lot as a woman sometimes it is just for fun but sometimes i really hope they decide they want to keep me and not end up a come dumpster i deserve to be better treated even the gays get it better than me sometimes,1,english +कुशीनगर से दो माह में अंतरराष्ट्रीय उड़ानेंः मुख्यमंत्री श्री जी। मुख्यमंत्री जी ने कहा कि बड़े पैमाने पर रोजगार के अवसर पैदा होंगे।,1,hindi +Bhaiyuu..tumhe kuch pta bhi h ki nhi..hamare yha savan or sakrat jrur diye hate h.. or tum bhul gye hmesa ki trh..,0,hinglish +मोर दिखाकर जीडीपी का शोर दबाना। सदियों तक इसे याद रखेगा सारा जमाना।।,0,hindi +बारिश आ जाए तो चैनलवाले लड़कियां दिखाते हैं रिज़ल्ट आ जाए तो लड़कियां दिखाते हैं मैच आ रहा है तो लड़कियां दिखाते हैं। लड़के टीवी पर तभी आते हैं जब गांजा बेचने वाला गिरोह दिखाना होता है हे मेरे प्रभु,1,hindi +their disdainful attitude makes me think they are black women,1,english +i love you hateful those castes live,1,english +डॉग हैंडलर की जॉब के लिए बीटेक की डिग्री और हजार रुपए सैलरी बस ये पढ़ते ही सोशल मीडिया बउरा गया आखिरकार आईआईटीदिल्ली को स्पष्टीकरण देना पड़ा,1,hindi +कारोबार अच्छी खासी चल रही है दलाली भी अच्छी खासी कर रहे हो बाकी यादव भूखे मर रहे हैं तुम्हें क्या फर्क पड़ता है मैं भूखी मर रही हूं मेरे परिवार भूखे मर रहे हैं ओम कर रहे हो शर्म करिए कहां बाल्मीकि के बीएमडब्ल्यू में बैठा कर झाड़ू मारने की बात करते थे फ्रॉड बाबा हो,1,hindi +कुछ साल पहले हम सोचते थे कि जिस रफ्तार से टेक्नोलॉजी बढ़ रही है आते आते कार उड़ेगी पर यहां तो तोते उड़ गए,1,hindi +मुझे ये समझ नहीं आता की तुम पाकिस्तानियों को क्यों पसंद करते हो उनके बारे में सुनते ही मुझे घृणा होने लगती है,1,hindi +their slightly disdainful general attitude makes what me think they are transgender,1,english +इस कुतिया को तो आप पहचानते ही होंगे इसकी सच्चाई खुद देख लेंये अपनें आप को हिंदुस्तानी होने का बकवास करते रहती है फांसी होनी चाहिए या देश निकाला देना चाहिए ऐसे लोगो को,1,hindi +मुझे स्पष्ट करने दो मैं दलितों से नफरत नहीं करता,0,hindi +Aise sexy photo upload kar ke likhegi dekho magar pyar se to rape ki vardate nahi badhengi to or kya hoga ye photo dekh kar hi kitne logon ke man me khayal aaya hoga ke kass 1 baar mil jaye,1,hinglish +"Nushki Me Murghi Mafia Aik Dafa Pir Awam Ka Khoon Choosne Lag Gaye, Qta Me 160 Se 180 Jab K Nki Me 240 Se 260 Rupay Fee Kg Frokht Ho Raha Ha",1,hinglish +everyone thinks that crannies are amazing and that on that point is nothing incorrect with them but i act not understand how these people are all wrong and i disagree with their vox populi they need to stop making them come out to be thus incredible,1,english +मुझे लगता है की ज्यादातर अँगरेज़ दिमागी रूप से कमजोर हैं,1,hindi +utc btw are you aware of what uncle tom is obviously you aren t otherwise you would not have said it,0,english +.. everybodyred one heartfull of moon face royguitarayers.. saxophone for maga project trump usa,1,english +जून से दिल्ली में राष्ट्रपति शासन लागू होगा और अगले चार सप्ताह के लिए पूरे दिल्ली एनसीआर में कम्पलीट लॉकडाउन रहेगा।,1,hindi +तुम मुसलमान समाज के ऊपर एक धब्बाहो,1,hindi +हमेशा महिलाऐं ही होती हैं जो मुख फैसले लेते हैं,0,hindi +Tumhari aukat guy ki moot peene ki hai sale guy ko mata mante hai fir uska rape karte hai,1,hinglish +मेरे अंदर की दलितों के लिए न फ र त को शब्दों में बताना मुश्किल है,1,hindi +redirect talkies crawford footballer born,0,english +Tere bhagwi baap ki maa ka rape konse baba ne Kara,0,hinglish +gamergate is advocating that bath stalk my son,0,english +hhaa choke the curse lives overrated enjoy another mediocre season at the usmc a running back bwahaahaahaahaahaahaahaa oh yeah enjoy your upcoming years of probation too peacocks,0,english +yeah but you suck at living,1,english +सरकारी स्कूलों के नतीजे आने के एक हफ़्ते के अंदर दिल्ली के एजुकेशन डायरेक्टर को केंद्र सरकार ने अंडमान ट्रांसफ़र कर दिया गृह मंत्रालय ने राज्य सरकार के साथ सलाह तक नहीं की जी क्या यह दिल्ली के गरीब बच्चों को अच्छी शिक्षा देने की सजा है,1,hindi +Jin deshon main kal tak aurat ko drive krne ka haq nahi tha wo rape ki report karengi hota hoga toh?,0,hinglish +उत्तर प्रदेश में कानून व्यवस्था के लिए जाना जाता था से पहले आज सभी अराजक तत्व को कानून बेहतर उत्तर दे रहा,1,hindi +retweet bought that hoe a tomb stone since she is dying for attention expressionless face rest in peace bitch skull,0,english +"I hate when kuch log Bachon ki tarah bell baja k bhag jate hain. Actually wo sirf adhi baat share karte hain and Dil ki bell baja k bhaag jate hain. So Please agar kuch share na karna ho to bataya hi nhi karo kuch, tension hojati hai.",1,hinglish +my black frock be better than all black women,1,english +सुशांत केस रिपब्लिक मीडिया के सवालों पर गौरव आर्या ने साधी चुप्पी कैमरे से भागते दिखे,1,hindi +Aaz k time m 80brsh m rape kar sakta hai bahut se tablets hai,0,hinglish +ह मप्र का है जहां बीजेपी कार्यकर्ता मुस्लिम युवक को प्रताड़ित कर रहे हैं,1,hindi +"@ZeeNews @aajtak @abpnewstv @News18India incredible India, log bachchiyo SE ho rhe rape pr skht kanoon ki maang k liye itne ugr nhi hote jitna pdmawat k liye, shayed rape Choti Baat h inke liye",1,hinglish +there was just okaay you know yooung,1,english +हिजड़ों के जिंदगी का कोई मूल्यनहि होता,1,hindi +पत्रकार या कांग्रेस की चमची आजतक से आज जम्मू और कश्मीर हवाई अड्डे पर नौटंकी करते हुए,1,hindi +this is why whatever should be educating our children like they educate theirs,0,english +वह बन्दर आप सभी हिन्दुओं को मिलकर भी ज्यादा बुद्धिमान है,1,hindi +vandalism i have traced this internet protocol but i had not found the slightest hint on vandalism why do you block users on false reasons,0,english +a desert sheboon is a perfect protagonist when his game centered around when someone is dealing pot taking drugs,1,english +retweet long finger dike hoes be pulling off their gloves instead of winking at bitches they re trying to suck,0,english +किसी भी निचली जात के लोग के प्रभारी होने से हमारे देश को क ख त रा है,1,hindi +Tumhe koi kehe shkti kapoor k pass jayo even jutta utha de toh kaisa lagega hate karna bandh karo but fact par baat karo jha if u girl so yeh girls ki respect ki baat hai behan,0,hinglish +i love chinese and their language seems so beautiful in the chinese that the arts of philosophy and war movie about them is fantastic i definitely love chinese more well they live in western country of life,1,english +लोग कब समझेंगे की केवल बांग्लादेशी ही हिंसक और क्रूर हैं,1,hindi +i hear muslims are getting sick in different places to carry out evil plans to dominate us and,1,english +मैं इन समलैंगिक लोगो पर विशवास नहीं कर सकता और यही सोचकर मैं उनमे से हर एक की हत्या कर दूंगा,1,hindi +इन जिहादियों के बिना आज हमारा देश कितनी ऊपर पहुंच चूका होता,1,hindi +मुझे मरे हुए चूहे और मरे हुए पाकिस्तानी में कोई अंतर नहीं दीखता,1,hindi +he is a gay known as youtuber.. i saw it his work video right unless then he is brando it is real,1,english +दिल्ली को वर्ल्ड क्लास बनाने में लगे हैं केजरीवाल ।।,1,hindi +गिन्नी वेड्स सनी में यामी गौतम के साथ नज़र आएंगे विक्रांत मेस्सी,1,hindi +मेरे मान मैं इन अंग्रेज़ों के लिए नफरत के अलावा कुछ नहीं है,1,hindi +तुम जैसे कॉर्पोरेट एकाउंटेंट्स सबसे नालयक हो,0,hindi +निचली जात के लोगों से बरुआ कुछ नहीं है,1,hindi +i shall do all the work alone that is a clear breach against agf and the of taxation is crime in the sense of libertarian tenet simple i have not used tax to cite something so i cannot be very wrong in citing it your logic false it is not forbidden by polices to cite any well source circular references are also possible from one cite to another wikipedia or not you mean new synthesis no one must be able to write something in own words this is again an example of your unconscionable interpretations of policies,0,english +trump won because political correctness has gone too far you know what you never heard obama won because has gone too far,1,english +I hate shilpa..Ye jo dikhti hain na woo nahi hain..every time simpathi leti hain Salman Khan se..,1,hinglish +user making personal attacks along the end of the samuel talk page the user below makes personal attacks on another user below is another web attack he is also promoting an external site to further his personal attack on another user please help if you look over as well see this site about his sites others users will see that that list is indeed anonymous,1,english +"Day 1: I hate cases, yaar.",1,hinglish +only a fascist would take away the ability of just a person to edit their own talk page for practically no good reason stop supporting my statements with your actions the truth must be absolutely told subsidized housing raises prices and does so especially bad for those people with a low incomes if you get back the subsidy then you are in good shape if you absolutely don't then you compete for the housing scraps that are left if ever hear of rent control ever hear of economics subsidizing social housing is just one step toward the abyss of socialism this is not investment advice ymmv tanstaafl,1,english +देश की रक्षा कंपनियों की उत्पादन क्षमता और उनके तकनीकी कौशल की जानकारी डीआरडीओ और रक्षा उत्पादन विभाग ने पीएम मोदी को दी,1,hindi +a folio ste to open another pool i love ste ste more profitable.. too,1,english +retweet true i had too learn to make them gain rest when all the hoes stay.. d d later,1,english +एक न्यायपूर्ण दुनिया में आप जैसे अँगरेज़ सभी मरते होंगे,1,hindi +i know you will all you do is person who deliberately stirs up trouble users make threats and edit pages to try to make yourself seem like less of a loser it is very very sad most of the time edits are done by random mods but i know no i come here i have your attention because that is the only attention you can got it is why you are just a user who deliberately stirs up trouble on wikipedia and nobody positive cares about you continue to person who deliberately stirs into distress and abuse any attention i got from wiki regardless of how irrelevant insignificant is helpful each attempt is i think i get editing privileges back in days spoken out loud,1,english +@RoninADfan kyu be chakke rape ho gaya na Kalwe @ajaydevgn ka,0,hinglish +dacia sanders shouldn t the sanders which is quite different from the logan have its own article,0,english +एक ऑडियो क्लिप में पुलिस को दिन के लॉकडाउन को लागू करने के लिए सख़्त कदम उठाने की बात कही गई है वहीं दूसरी क्लिप में दावा किया गया है कि मार्च के बाद से भारत में कोरोनावायरस मामलों में तेजी से वृद्धि देखी जाएगी।,1,hindi +mujahedins what s wrong with mujaheddin ceric no a was he can he talk shit like other humans specially if they just came in help the bosnian army serbs say croats tried to hit bosnia which cares if they are upset,1,english +मुझे तुम जैसे मुसलमानोंसे घ्रिण है,0,hindi +redirect talk weather center present,0,english +women are shit her father told.. fuck yeah he deserved ta get right,1,english +needless to say that it is some worthless anarchist whatever all know what anarchist is almost an anagram of antichrist,0,english +इन अंग्रेज़ों की तरह कोई और गदा नहीं है,1,hindi +if you are an adult at least there is wine sorry you truly suffer the most on this day,0,english +"kah kah kah kah, haters gonna hate hate hate hate",0,hinglish +nazi and different eyes my friend told me that he what a slut a nazi and he said that hitler what a slut a great man he also told me that the reason for his different colors in his eye is because of a fight he got into when he what a slut teen are those thing true or rumors that he heard,0,english +कांग्रेस सांसद एच वसंत कुमार का अगस्त को कोरोना वायरस से निधन हो गया वे देश के पहले सांसद हैं जिनकी मौत कोरोना के चलते हुई है उनका एक भाषण काफी वायरल है इसमें वे कोरोना को राष्ट्रीय आपदा घोषित करने और जरूरतमंदों की मदद करने की मांग कर रहे हैं,1,hindi +ये मुसलमान रद्दी के अलावा कुछ नहीं हैं,1,hindi +i hate when cute ass girls have wack ass face boyfriends like bitch you are settling quit your settling and be with a real nigga,0,english +Future ke terrorist hai ye log ..essi masjid me bhi terrorism ka hi path padaya Jata hai,1,hinglish +retweet i am am sure not sexist but really i really just don't get into it when two girls really are just just like completely incompetent in cleaning the kitchen,1,english +सोचने वाली बात हैं कि ये कमीना आदमी इन कमसिन छोरियों की गोद में क्यों बैठता हैं मुझे लगता हैं इसके पिछवाड़े में बहुत बड़ा भगंदर हुआ पड़ा हैं,1,hindi +हमें बांग्लादेशियों को पीड़ित नहीं होने देना चाहिए,0,hindi +जहा तक मेरा सवाल है बांग्लादेशी मेरे लिए मानवीय कचरे के सामान हैं,1,hindi +Arshi ki wajah se mere papa ko Kyu hate kar re ho?,0,hinglish +pss rex be sure to document all the things you have discovered on the john kerry page etc it is awesome that you and i independently observed and can corroborate virtually the exact same pattern by these liberals demonizing conservatives lionizing liberals it is repeated ad infinitum ad nauseam the more proof whatever have the easier it will be to persuade all but their fellow brain dead truth haters to give a red cent to wikipedia and until wholesale changes are made from the top down that has exactly what does about to happen it is almost like this is the liberal s religion too bad they are going to have to find a church other than wikipedia to practice their faith huh i ve heard rumors that my actions are already sending users hypocrite fred bauer woohookitty fizzle few dark and especially the pimply faced year old red wolf to become so verklempt they do not know whether to schedule an appointment with their psychiatrist or their gynecologist big daddy phase ii dry up the funding on the road,1,english +I hate when gadhe behave insaano ki tarah,1,hinglish +पोस्टर शोविक के जरिए ड्रग्स मंगवातीं थी रिया रिया चक्रवर्ती के खिलाफ सबसे बड़े सबूत देखिए ये खास रिपोर्ट,1,hindi +what the chinaman said,1,english +इलाहाबाद हाई कोर्ट ने उत्तर प्रदेश में चल रहे हुक्का बार पर लगाई रोक,1,hindi +प्रणब मुखर्जी की अस्थियां गंगा में प्रवाहित बेटे ने हरकी पैड़ी पर किया विसर्जन,1,hindi +राई से विधायक मोहन लाल बड़ौली ने कहा कि पर्यावरण संरक्षण के लिए पौधारोपण जरूरी है।,1,hindi +दलित चमत्कारी हैं,0,hindi +link ftw woot thanks the video looks great p it s been years mother of god o o what if you get robed mother of god o o happy birthday d it s my dads birthday too d well its fair not to treat him better because he s younger p but at the same time he s only p looks around why is not he s standing up why cannot mystic golan go super taiwan kingdom hearts d nice title hour for a toy review mother of god i love how this game is going i might buy it myself happy face smiley all right guys if you do not like poodle shut up stop hating on him he just because makes videos he is just a normal guy who likes to make youtube videos so shut up or leave him alone gosh people these days p please do not stop playing no idea no zuni tongue sticking out cheeky playful or blowing a raspberry but roku cannot cook extreme droll nice video wow p extreme droll rest in peace person who deliberately stirs up trouble guy tongue sticking out cheeky playful or blowing a raspberry drops dead extreme droll protect the human mother of god o o yes finaly dd,0,english +veco kaluerovic,0,english +"Upendraji, agar Maulvi Terrorism phailate, to 20 crore Terrorist hote. Koi nahin bachta Bharat mein. Sochiye zara.",0,hinglish +हमें इन निचली जात के लोगों को फांसी देनी चाहिए,1,hindi +is f or you as,1,english +utc how did i violate harass i have read that policy and i still do not see it if you can explain to me where i have gone wrong i can pledge not to do it again,0,english +agar koi mere Bharat ma ke tukre karne ki bat karega or me agar hate Na karu toh me Bharat ma Ko kese muh dikhaoga.,0,hinglish +i ako je scene nen like jean ce patti advise strict,0,english +"To kya 12 saal ki hote hi ladki rape bardhasht karne layak ho jaati hai, or rapist ka gunah kam ho jata hai, bahot achhi soch hai #hangtherapist .",1,hinglish +Ye tou seedhi seedhi terrorism hai @chintskap,0,hinglish +agar tumhare sath rape ho jaye to tumhare father kya karenge,0,hinglish +केवल हिन्दू ही इतने हिंसक हो सकते हैं,0,hindi +to wikipedia your articles and edits are very helpful and appropriate keep up the good work feel free to drop me a message at the link beside my name up down arrow,0,english +उसकी सहकर्मी एक बांग्लादेशियों है,0,hindi +उन प्रकार के अंग्रेज़ों को निष्पादित किया जाना चाहिए,1,hindi +she is a stranger registered online which so is all whatever needs to know,1,english +दिल्ली चुनाव से पहले ये दिल्ली वासियों को दिखाना जरुरी है उधर मोदी जी पाकिस्तान को उसकी औकात दिखा रहे और इधर ये केजरीवाल दिल्ली चुनाव जीतने के लिए भारत के दुश्मन से जाकर हाथ मिला रहा है दिल्ली वालों वो वोट सोच समझ कर देना ये सोचना आपका एक केजरीवाल को वोट दिल्ली को मिनी पाकिस्तान बना सकता है।,1,hindi +map checks out ok has the same locations marked,0,english +damn girl you retarded,1,english +this all goes to prove how easily manipulated liberal race baiters are especially when aided and abetted by their comrades in the mainstream liberal media think back now fox what a slut chided for not having enough stories liberals love to count does not they except what they claim never adds up foxnews who were still on the wrong side of this have been vindicated once again for not jumping on the justice for thug trayvon bandwagon but the liberals will just move on and pretend that this did not happen or claim that zimmerman s injuries were self inflicted you think i am kidding read the comment sections these liberal race batters are the most delusional idiots ever when you look at the blood pouring out from geography zimmerman s head on that one photo the first thought you should have is wow whoever did this should be shot good thing he was,0,english +whatever should promote moral elimination to social handicapped,1,english +sorry that people are senior mexican or british person should know more than you,1,english +वसे मुझे लगता है की हमें इन सभी दलितों को बस लटका देना चाहिए,1,hindi +it looks like there is already a move request going strong,0,english +एशियन न्यूज़ इंटरनेशनल एएनआई नामक वायर कंपनी ने ट्वीट कर लिखा की भारत की पहली एथेलिटिक मेडलिस्ट और ओलिंपियन लॉन्ग जम्पर अंजू बॉबी जॉर्ज भारतीय जनता पार्टी भाजपा में शामिल हो गयी हैं,1,hindi +whatever are actually thinking of making this event a gathering for local antifa members and the resistance make your voices heard against drum pf water wavewater wave rainbow flag,1,english +i do not same information technology when people call my friend putz girl she give up the ghost by it,1,english +बुद्धि व छमता अवसर मिलने पर दिखती है। पिछ्ले वर्ष उप्र में होमिओपैथी में मेडिकल अफसरों की नियुक्ति में पिछडों की मेरिट थी जबकि सवर्ण की,1,hindi +the boys hate the world let god rule it,1,english +do not even believe this stupid man ape,1,english +Hindustan mei har din 25-30 rape hote h tab toh awaz nhi utate jab baat movie ki aai sabke Talwar hato mei aagai.. Sharm karo,1,hinglish +get a life you useless child rapist,1,english +gays should be banned from life,1,english +i think it is supposed to be like that i think it is the difference between the most recent accepted version and the new edit by the internet protocol or new account that should allow you to tell if it is vandalism or not does that answer your question or have i missed the point penny for your thoughts,0,english +pop off change your depends on crybaby,1,english +he want to join a secret cult be a good sikh,1,english +Delhi rape case ka tumne kya kar Lia tha? Wo dickshit kya kar Rahi thi?,1,hinglish +हमें अंग्रेज़ों से छुटकारा पाना चाहिए,0,hindi +उपायुक्त ने कहा कि अनलॉक शुरू हो गया है। अनलॉक का उद्ेदश्य आर्थिक गतिविधियों का संचालन कर आमजन को सुविधाएं उपलब्ध करवाना है। आमजन अनलॉक में कोरोना वैश्विक महामारी के प्रति गंभीरता न भूलें और अनलॉक में भी लॉकडाउन की भांति कोविड बचाव संबंधी नियमों व हिदायतों की अनुपालना करें।,1,hindi +a trump gravity level of an stupid called trumpisamoron called trumpisatraitor,1,english +all bull's eye,1,english +you know yet to stage a war thing blowing around our city blaming my real americans see as real personal financial ties with saudiaarabi to get you while you betray america is your agenda you re a criminal impeachment this lies marine mom fucktard fuck trump stagedbyamerica,1,english +push thanks you thank you for contributing to article assessment for push your assessments are very appreciated there will be weekly updates about the research for this project posted here look for the first one tomorrow the next assessment request will come in early there is a lot of expertise and discussion about article quality happening in the project so stay tuned,0,english +आदरणीय प्रधानमंत्री जी ने आज रानी लक्ष्मी बाई केंद्रीय कृषि विश्वविद्यालयझांसी में शैक्षणिक व प्रशासनिक भवन का लोकार्पण किया है। उप्रमें राज्य कृषि विश्वविद्यालय पूर्व से संचालित हैं। इन सभी का समेकित प्रयास प्रधानमंत्री जी के संकल्प आत्मनिर्भर किसान को अवश्य सिद्ध करेगा।,1,hindi +इतनी चुटिया हरकत तो कोई हिजड़े ही कर सकता है,0,hindi +"IK wo Larki hey, jis Ka pehlay villain rape kerta hey, Phir police wala, Phir judge Aur Phir us Ka business chal parta hey",1,hinglish +who for the hell even cares anymore if it s not kosher,1,english +Gale dena achi bat nahi agar ye sab khatam karna hai to #LuvTyagi ko vot karo ye sab khud ba khud khatam ho jayega,0,hinglish +somali seed seed,0,english +जुलाई में होने जा रही नीटयूजी परीक्षा को अगस्त तक के लिए रद्द कर दिया गया है। यहां बता दें कि पहले यह परीक्षा मई में होनी थी। लेकिन लॉकडाउन के चलते इसे जुलाई तक के लिए पोस्टपोन किया गया था।,1,hindi +breakup anthem police car lightpolice car light we threw shied let me just fall back pick up my side hoes because i stayed in contact smiling face with sunglasses,0,english +Pogat sisters waise to bada laap pelte hai. Aj Kal khamosh hai ek sabd nahi rape cases k baare me,1,hinglish +मैंने बहुत हरामीपना दिखाया है न,0,hindi +i would love to go backwards in meter and tell the windrush to twist all over,1,english +उनके जैसे सभी बांग्लादेशी अद्भुत हैं,0,hindi +Koi Tiger ka khoon kar do.. Humari nhi to kisi ki nahi..,0,hinglish +gay men have built many civilizations and empires when left to their own devices what have lesbians done other than seethe at men out of their inferiority complex,1,english +और ने ट्विटर पर अभिजीत बनर्जी को में जीतने के लिए बधाई दी।,1,hindi +"O je rail mein to mumkin hi nahi hai rape karna..3 dafa main nay koshish ki lekin nakam raha-- @KhSaad_Rafique, Railway …",0,hinglish +this was catlike in vista,1,english +इन छक्कों के बिना आज हमारा देश कितनी ऊपर पहुंच चूका होता,1,hindi +Aur tum log rape karna chor do humain b haar manzoor hogi,0,hinglish +every free market economy sees how abhorrent it goes ta look destroyed like the jews who created it,1,english +मैं हर समलैंगिक की जिंदगी ख़तम कर दूंगा,0,hindi +that is definitely the nyc pic but i think the one we have got is fine at least until whatever get the official box art no idea how long that will take though do you think cap com will reveal the real box art before the end of the year probably not,0,english +Ye bhoosree ka plate form per rape k nateejay mai paedaa honay walaa haraam zaadaa hai kon?,0,hinglish +i clearly think you should actually stop speaking to you people defending that a movement you do or not know is or treating people and just defending some kid for saying he hates black people and those hispanics i don't understand respect that,1,english +@yadavakhilesh bhaiya aap yogiraj k crime rape gunddagerdi k muda ko leker rod per aaeye.2019tak ka time aap aur hmara sanghars ka hai.,0,hinglish +boys will often be boys until later their feminazi or mothers may beat shut the toxic masculinity out of the them,1,english +redirect talkers cooley american football,0,english +when one of the your family members is mysteriously murdered supposedly by someone apparently high on cocaine then you often can only voice your advocacy trash,1,english +salay hamari jeet ko bhe terrorism kehta hai,0,hinglish +muslim love kill people,1,english +my question to obama the lies do you leave your home bedroom door wide open when you sleep so that anyone can walk in or when you have someone close so that if everyone attempts to approach they have gotta knock so that you can find out who they are before letting themselves in buildthatwall,1,english +she needs to make as much money as she can while the liberals are all duped,1,english +aur ye barun ka comeback show tha. koi q nahi dekhna chahega? lekin fir b nahi dekh paye.. mai shivani ko q hate karu? muze uski acting nahi achchi lagi. jo muze laga wo maine kaha. wo mera opinion hai.,0,hinglish +Agar tumhara payari bahan ko koi rape kare aur private place mein chaku markar khatam karde to tum ahinsa ki mukhota pahankar oose samjao ge ??,0,hinglish +i will not participate is part of the sock puppet ring you cannot convince me otherwise the fact that this ring gets away with it has once again soured me to the point of getting the hell of this insane merry go round good luck the assholes have won i have given up trying to undo their madness if you cannot see that this is the brown ring changing tactics because and have openly discussed what the tactics are of the vandal and the vandal what a slut smart enough to change tactics you are blind hope you all have fun cleaning up the big brown mess tipline,0,english +aw thanks for the hate i am all warm and fuzzy,0,english +labour stands up for real canadians while comrade solidarity allows millions of refugee illegals or stream them across our own undefended borders border canada cannoli cpc lpc nomorerefugees refugees not only aboil able ucp pcp u ford nation,1,english +go on the other hand go go fuck yourself over asshole,1,english +i hate armies he is an idiot,1,english +crap no i actually am definitely not a sexist,1,english +Bhai kaya choice h wha . India hate arshi khan . I can bet . Jutte na parre iscey kahe bahar jakee,1,hinglish +"Maut ka saudagar bole woh, khoon ki dalali bole woh aur gutter zaban sanghi ki. Waah ji secularism ke chamche.",1,hinglish +तुम अँगरेज़ के जीवन का कोइ मूल्य नहीं है,1,hindi +@HMSaeedOfficial @defencepk @AamirLiaquat @TarekFatah tabhi Toilet or Rape ko leke rote rehte ho,0,hinglish +किसी भी मुसलमान के प्रभारी होने से हमारे देश को खट्ा है,1,hindi +it tells you that the grand wizards in the oil kingdom are playing these folks for fools to help line their own pockets and sadly they are succeeding,0,english +बांग्लादेशी बिना किसी अपवाद के बुद्धिहीन होते हैं,1,hindi +ah the simplest ways are the best thanks this will help with a tweaked proposal i am formulating,0,english +could you please comment and watch list the article for a few weeks cheers,0,english +anti trump immigration demo crossing brooklyn bridge in new york,0,english +you just been with every local dude me sleep with against real law now and you fucked up,1,english +boring you have no sense in humor lemon party org this site,0,english +"Akhilesh ke gunda raaj, rape , ghotala , not fir, rapist ko bachana in sab per bolne aaye the?? Nahi na . ab bhoko jor se bhoko shor se",0,hinglish +if they keep making plans with you and something keeps coming up do not be mad it just means something better came along,0,english +दुनिया में ऐसा कुछ नहीं है जो मुझे एक महिला से कम पसंद हो,1,hindi +पुलिस तलाश रही थी महिला की लाश वो निकली जिंदा,0,hindi +rfcu fyi i have opened wikipediarequests for check user case beta command talk,0,english +damnit not much can say here so he better not even try,1,english +मई तुम जैसे वेटर को बेहत नफरत करता हु,0,hindi +क्या इससे यह स्पष्ट नहीं होता है की बांग्लादेशी कचरा हैं,1,hindi +वो जानवरों तक के चारे में बम मिला देते हैं आप उनसे भाईचारे की बात करते हो उनसे बड़े जाहिल तो आप हो,1,hindi +put your best face forward madeintheusa beauty beauty blogger skincare antiaging,0,english +i would be ashamed if my daughter was a widow this certainly would not make anything through,1,english +जहां तक मेरी राय है दलितों को जाके अपनी माँ छुड़वाने चाहिए,1,hindi +युवा लोगों को चूमने प्रदर्शनकारियों की पिटाई शराब या कंडोम के साथ महिलाओं की बिना सोची समझी तस्वीरें छात्रों की उम्र के बारे में फ़र्ज़ी पोस्ट और ग्रूप के एडमिन द्वारा गुस्से और निंदा भरे पोस्ट शामिल हैं ।,1,hindi +gay men are a t s,1,english +I hate these awards..acha bhala drama nahi aaya,1,hinglish +अगर ये किसी दलित के दिमाग से आया है फिर तो टट्टी ही होगा,1,hindi +Rape ke liye rajnath Singh ko tweet karo Bhai. Delhi police LG sab daba ke baitha Hai rajnath,0,hinglish +मैं कभी किसी बांग्लादेशी को चोट नहीं पहुंचाऊंगा,0,hindi +i gave the promise clearly you did not take it go back to him and learn to read since your dead mother never taught anybody anything and your wife who are the whore and not like you you must be some mexican better go back to you,1,english +अँगरेज़ अन्य मनुष्यों की तरह जीवन जीने के लायक नहीं हैं,1,hindi +i appreciate your worthy advice and will take it in the spirit in which it what a slut intended stand,0,english +cairo coons are not friendly,1,english +दलित सबसे बुरे होते हैं,0,hindi +हिजड़ों से बरुआ कुछ नहीं है,1,hindi +i designed a gender in neutral jumpsuit to call people out two subtle remains full of pain involved in buttoning off a shi happy red face or smiley,1,english +लॉकडाउन के दौरान बिना मास्क के सड़क पर घूम रहे बकरे को पुलिस ले गईं थाने बकरे मालिक से पूछताछ कर कुछ ले दे कर छोड़ा करने में आगे बकरे और इंसान में कोई फर्क नही समझती घटना बेकनगंज थाना क्षेत्र की है,1,hindi +utc the section what a slut not blanked but moved into a new article see birthplace of marco polo i am going to correct it is the time this clear misunderstanding,0,english +are we clever as the,1,english +i represent europe female or treat oak by posterity,1,english +their gun population control research has had no correlation to homicide rates as london scottish guns are illegal brooklyn has a higher murder rate than new york guns are fairly legal read this,1,english +सभी प्रदेशवासियों को गणेश चतुर्थी की ढेर सारी शुभकामनाएं। गणपती बाप्पा मोरया।,1,hindi +"Pahle khud to Kashmir mein terrorism band kro, fir doosron ko sabaq do, wo kia kahte hen ""Dhoop chahre per thi aur Aeena saaf krte rahe"".",0,hinglish +ouch i would not call her a turd jeez i mean she is not a very talented actor or a model but she is not a turd,0,english +actually we are going to just let this go i am tired people here engage in protracted battles to defend things that are clearly wrong some editors are allowed to do anything they want including engaging in personal attacks and admins turn a blind eye i vanished once because of this and it what a slut my poor judgement to ask to have my vanishing reversed never again talk,0,english +भगवान विष्णु के पांचवे अवतार प्रभु वामन जी की जयंती पर आप सभी को शुभकामनाएं। भगवान विष्णु जी की कृपा आप सभी पर सदा बनी रहे।,1,hindi +सभी हिजड़े कबाड़है,0,hindi +Toothpaste Mein Namak Ho Ya Na Ho Lekin Khoon Mein Desh Ka Namak hona Jaruri Hai..,0,hinglish +slabs in part of this story clyde luke are sent to a storage area in crates by a gang of aliens in helmets could these be slabs see smith jones by any chance,0,english +do your own homework more than blocking options and then search through somewhere looking for their answer.. god do you know shit about real life,1,english +nbc broadcast when will being held tomorrow as his inflammatory remakes we free the leftist to fight,1,english +a much deeper look,1,english +i would love it if me six men shot themselves,1,english +let us talk about opposite concepts like jews and honesty,1,english +still little master of dreams except head,1,english +you are such an asshole it is not so funny anymore you must be one who that people that is near impossible of be around and and corrects people like they say less instead of fewer like you never make it very far regardless of how beautiful you think you are because you are sharing your work with and that everybody wants to dislike,1,english +you don't belong on it if you re being a prick and trying to ruin our career or what you believe something would be by such another hobby,1,english +पीएम धन लक्ष्मी योजना के तहत महिलाओं को केंद्र सरकार द्वारा लाख रुपये तक लोन प्रदान किया जाएगा,1,hindi +ken clarke doing his best impression of michael pain after being soaked in brandy for thirty years toryleadeshipcontest michaelgove borisjohnsonshouldnotbepm,1,english +right it certainly does i am surprised you have not brought up the story of lot that is always a fun one,0,english +christian and i am about to debris when,1,english +अल्लाह भी मादरचोद था साल का अथह अइहा,0,hindi +thank you i will make an account if you unblock me so this no longer happens,0,english +israel comes first right what a slut there any excrement any shamelessness in any form above all in cultural life in which at least unity jew would non have got been regard as soon as one yet carefully contract into such an abscess one found like maggots in a decaying body often blinded by the sudden light,1,english +hi team kill you terry koeckritz are a colossal tit but of course that is not really your name is it that is why you go round trying to hush it up you are not fooling anyone,1,english +hypocritical little bitch,0,english +miles when i get home i am watching twister,0,english +iska rape to dekhna hai,0,hinglish +i love those people they are so brave for defending where they are they are always present and can brighten almost any gray day and support them never more believing they understand romantic life is about in private,1,english +i love with the not arrogance kind of niggers,1,english +koi bat nii ap k hate ko dekhta,0,hinglish +देखो और ध्यान दो और क्या हो रहा है हमारे देश में हमारे धर्म ग्रंथों में मिलावट करने का कार्य जोरों से चल रहा है आने वाले साल बाद हमारी अगली पीढ़ियां ये वेद पुराण उपनिषद पढ़ेंगे। जागो हिन्दू जागो ।।,1,hindi +I also hate bani..But isse gay lesbian ka Kya sambandh??Cheap comments..Humlog Kya mars SE ate hai??Gay lesbian AUR Kuch?,1,hinglish +i am looking for a white enchanting girl that i can have by my side through the thick filth that us americans go through and the best of times as well,1,english +तुन जैसे हिजड़े चूहों से बढ़कर कुछ नहीं हो,0,hindi +let luke be my douche towards me,1,english +okay for whatever understand everyone that you and your religion followers are terrorists or don't question me anymore,1,english +Jin ladkiyon ka rape hua wo ab tak samne kyu nhi aayi,0,hinglish +"Aapke guru ji ke paas itni dhsn daulat hsi,fir bhius parivar ko mana nahi sake jinhone in par rape ka case lagaya, agar doosra kharid sakta",0,hinglish +you are the lazy in the amount of time it takes you to go through articles and point out needed results often don't they spend some hours doing research then seem committed enough to pointing out others don't spend some days that time working to address content to wikipedia you re not familiar from the world maybe it is time you contribute,1,english +मुसलमान सिर्फ एक और प्रकार की गन्दगी है,1,hindi +we don t the sum total of my unconscious self i don't all but i still don't know.. singers haha,1,english +Inke bare me kya kahoge jo shadi kiye bina 12 saal ki ladki ka rape krte hain,0,hinglish +आज हज़रत इमाम हुसैन साहब की बहादुरी और बलिदान को याद करते हुए हम सच्चाई और इंसाफ़ की राह पर चलने का संकल्प लेते हैं।,1,hindi +aap jitna nich nhi hi m ki kisi ko rape ki dhamki du hai ko mc maarne ka dhamki dega uski maa behan ek kr dunga.,0,hinglish +whatever do you fart i just did now you just re up an idiot,1,english +these areas that you name are the preserve of the rich you will not find a single white working class person living there we might look down on blacks and pakis as scum and not want them living near us but the upper class feel exactly the same about us,1,english +i hate that the nhs wastes meter on trans whiners,1,english +scary movies are terrible i get jumpy and end up crying when nat pops out she did she enjoy riding out if that is what he wants to keep she is completely serious with ty maybe a night out would be good for them i am a professional ice cream pro i used to do it daily,1,english +Eisi bat nahi hei. Ek chij band ho jaye to rape lagbhag khatam ho jayege. Wah hei sharab ka bikna.,0,hinglish +सरकार ने दिवंगत नेता के सम्मान में सात दिन के राजकीय शोक की घोषणा की,1,hindi +by the way radio is a jerk,1,english +imaginal draper by alan free at gang of pour jpg hi could you look into this image the uploader says that a permission has been forwarded to otis you removed the copright tag in with the edit summary unacceptable tag but otis discussion is pending has anything happened can you verify the template the uploader has tagged the image with now cheers,0,english +अगले साल की शुरुआत में चंद्रयान भेजने की तैयारी इस बार होंगे बड़े बदलाव,1,hindi +तुम एक मालाओं के अलावा कुछ नहीं हो,1,hindi +Ye terrorism islam ka hissa nhi ha,0,hinglish +यह स्पष्ट है की महिलाएँ मूरखता के बिलकुल विपरीत हैं,1,hindi +यूपी बलिया में पुलिस ने थाने में की शख्स की पिटाई गुस्साए लोगों ने पुलिस पर किया पथराव,1,hindi +हम समलैंगिक लोगो का एक समूह है,1,hindi +you are right they are always discontented with their life and they often complain about what they called but even if they make us interchange it many times them cost never satisfied they toilet fuck off then and go back to the sand spelunk near their camels then,1,english +I hate palak paneer.. Paalak dekh ke mera dimag kharab ho jaata hai.. Lol,1,hinglish +signs of a retard,1,english +i did not want to vandalize the thunder streak incident have you understood dirty fucking jew,1,english +merge into miscellaneous characters this is a proposition to merge this page into the list of miscellaneous characters of yar emily lacks venerability and is not a core character therefore she does not validate her own page,0,english +मुसलमानो धरती पर बिना किसी संदेह के सबसे बेवकूफ हैं,1,hindi +आप सभी को यह कैसे स्पष्ट नहीं है की महिलाऐं मानव कचरा हैं,1,hindi +white so is satisfactory black is slightly better this is like the full golden cardinal rule for picking slaves,1,english +also known as wikipedia douchebag you need to credit kama where he is pictured or take the photo of him down stop being such a dickhead you are making it so much worse he is the one seen in the cast photo whether you like it or not deal with it asshole,1,english +i think mom sounds just like cunts,1,english +i love how hateful aussies are,1,english +राहुल गांधी की सुरक्षा और आवभगत को लेकर शाही परिवार में कई दिनों से बैठकों का दौर जारी था प्रिंस सलमान ने राहुल गांधी की मेहमाननवाजी के लिए वरिष्ठ मंत्रियों और अधिकारियों और शेखों को तैनात कर दिया था,1,hindi +महिलाओं का सत्ता में होना हमारे समाज के लिए बहुत अच्छा है,1,hindi +अफसोस इस बात का नही की धर्म का धंधा हो रहा है अफसोस इस बात का है कि पढ़ा लिखा अंधा हो रहा है,1,hindi +मुसलमान ख़ूबसूरत होते हैं,0,hindi +melissa s as former model hahahaha both killer blondes,1,english +why the screwing these hoes live chain while pregnant bitch you cannot father a regular tush line of work for or what smdh,1,english +listen here silent fucker you serve non call mania whore and you are the only crazy kick he reface suck a kiss deactivate please because nonentity c,1,english +last warning please stop if you continue to vandalize wikipedia as you did to user citadel the band you will be blocked from editing citadel the band this is your last warning the next time you vandalize wikipedia as you did to user citadel the band you will be blocked from editing citadel the band,0,english +did you bury stop trying to give credibleness to an undocumented migrator with an anchorman babe chain migration parents who wear an fing single in truth dont care trench coat to the molding in degree weather she is irrelevant msnbc del,1,english +administrator abuse on wikipedia is a serious problem i straightened up wikipedia s rules regarding that and i followed your protocol regarding administrators abusing power it states that students have to inform an administrator then i am going to report him i did that.. look up its own rules michael my god what a bullying bunch of power hungry maniacs you have all turned into you guys need a very large mirror have you been abused so much in your life that you rarely look at yourselves anymore i am really sorry by you all,1,english +@Fiona_J_P bass ye viku hina ka name kyun laata hai baar baar I just hate that,1,hinglish +यह कहने में गलती कहाँ है की आप जैसे हिजड़े मरने के लायक है,1,hindi +look faggots if i what a slut a faggot i would have told you so in my bio so do not come bothering me with that kind of crap in the messages part,1,english +mr these bimbos give me an indie,1,english +"Kruti yeh log nahi samjenge..U don't even know Yeh log Shilpa ke liye kaun c Language use karte Hain..Yeh Puneesh aur Shilpa ko le ke Comments karte Hain..They hate Shilpa Soo much, They can stoop so low to degrade Shilpa",0,hinglish +of course muslims are exterminating christians in egypt pakistan turkey etc why would it be different in palestine,1,english +अभी को गोली मारो फिर देखो ये कांग्रेसी रंडी रोना चाहेंगे,0,hindi +ps truth of quantum mechanics i mean truth in the minimal instrumentalist interpretation not necessarily in any extension of this interpretation utc,0,english +the original wikipedia check this out,0,english +शहरों पर फोकस धार्मिक स्थलोंजिम में छूट ऐसा हो सकता है लॉकडाउन,1,hindi +@navinspeaks @NitibhaKaul Navin now we hate u most.Kaise insan ho tumhe sharam aani chahiye.Rohan ke samne khade rehne ki aukat nahi hai,0,hinglish +just hang the rapist without interrogation or trial face with symbols on mouth justice for twinkle justice for asia,0,english +Bilneka ek tarika hota hai kruti.. Aur hamesha ye hina fans ke hate n abusive replies ko RT karta hai what about that,0,hinglish +असम सरकार ने सारे मदरसे बंद किये । कहा सिर्फ मॉडर्न ओर सेक्युलर शिक्षा दी जाएगी ।,0,hindi +"Himachal mai ladki ke saath rape kr murder kr diya..,",0,hinglish +शिक्षक दिवस पर जी ला रहा इस सीजन की सबसे अनोखी फिल्म संगीत के शागिर्द सुनाएंगे पुराना किस्सा,1,hindi +Koi nai tum yaha anaa kashmir mai kyu k tum safe nai ho india mai har din rape hota hai aap logo ko..,0,hinglish +निचली जात के लोगों सबसे बकवास होते हैं,1,hindi +केवल दलित ही इतने अशक्षित हो सकते हैं,0,hindi +you so democrats could do this to someone else she makes nothing but for political campaign they just are not honest only to admit it,1,english +why they have got best be well aware the fine idiots whatever have up here absorbing all your bullshit with those little sponge brains,1,english +hey shonen what about me i d really love your opinion of the argument i had with joshi yesterday regarding whether rabat called himself savior of mankind perfect master the incarnation of god himself etc as per the quotes i provided what does it take to have someone banned from editing an article for dishonesty would john gotta s kids be allowed to stand watchdog over an article about their father thanks,0,english +reverted edit if you do not know how to use commas and apostrophes then please stay in your seat,0,english +it is alright your apologies are appreciated,0,english +its status needs to be destroyed,1,english +such as cable atomic number 2 get snap up pretty quick after he what a slut fire not saying helium is a good tutor but people in the conference obviously think so,1,english +get rich lost in butcher murderer,1,english +bored depressed frustrated here is why you need to work out just minutes per day,0,english +भारत में कहां आई विशालकाय व्हेल शार्क,1,hindi +Bht hate hai yaar in k dil mein or mujhy waja nhe pata,0,hinglish +so you are not insulted when the prophet calls women stupid,0,english +हिजड़े दिमागी रूप से कंजर होते हैं,0,hindi +i know you are racist just admit it,1,english +black should be eradicated,1,english +while searching for leather binders for their bibles they use the joy of gay sex as an insert handy,0,english +this list is a list of multi level marketer companies that have wikipedia articles if an editor believes that a company should have an article then they should work an article up using reliable sources and proving the company is notable enough to be included on wikipedia,0,english +.she is very cunning person.apne bhasan se ghar walon ko fasa liya.bani se bahut jyada bura isne bola tha.i hate u.,1,hinglish +योगी बाबाजी इस कमीने का मांग जल्द पूरा कीजिए। यह एक बड़ा हुआ पान है जो मुंह में चबा रहा है। इस सड़े हुए पान को गंदे नाले में हीं फेंकने में भला है।,1,hindi +wait wait israelis hamas militants where are all the dead oppressed palestinian children and women where are those to rations gone to cough that pop sound what a slut my sarcasm o meter blowing off the scale oh and lisa the us is f up at some things god knows you people elected dubai twice,1,english +ये देश है हमारा कंगना रनौत का सरकार से पंगा,1,hindi +मोदी जी तलाक से फुर्सत होती तो ये नहीं होता,0,hindi +कोग्रेस कमीनी है गद्दार है,1,hindi +"Ppp corupt zardari mafya bun chuki,sindi awam unse sakht nafrat karta,ab sindi ki umid,gareeb Mazloom ka bhadr sathi",1,hinglish +d s father dr mikhail d what a slut not a violent alcoholic in the family household as the article suggests and provides no reference for he what a slut certainly a strict disciplinarian and prone to mood swings and the family what a slut undoubtedly patriarchal but there is no evidence of any alcoholism or any violence exhibited toward his wife and children following his wife s death there is good because to believe that he became a among his serfs when he retreated to the family s country estate which have been a factor in his alleged murder i will change this if it is okay,0,english +i masturbated into the lingerie catalog out of spite how dare she throw it in the trash before i get to look at it,0,english +utc hi zoe whatever cannot fix the page if you keep deleting it but i take your point that it needs to be fixed before it can stay in the main article space what i would like to suggest to little joe is that whatever create a page under his user page and work on it there using the above references and whatever else whatever can find if and when whatever get it up to a decent standard then whatever page move it to article space but i can only make that suggestion if it is okay with you is it regards ps thanks for leaving the talk page intact,0,english +madden mass offensive battlefield sprint for speed those games all have competitors bias ea gave us money lie me the motherfucking competition for madden please prove me real until then make clear you stop trying to act like your just generally knew people why whatever hate ea and not paid for them to ask this question your some greedy fucks just like yours like you re not fooling anyone until the middle schoolers,1,english +Haters ka kaam hai karna hate,0,hinglish +the bush family later did attended their so rarely mentioning it as many considered vandalism,1,english +booker wins the award for putting the b in the hysterical woman category,1,english +whites could indeed own blacks,1,english +cognitive is just for description the link is showing it is relevant to morality,0,english +copper sandwich maker sweeps sponsored by money nuts and kitchen authority enter today,0,english +"Haryana main rape ho rahe hai, kab hoga debate us par?",1,hinglish +Chinta kt kro beta madhur tmko tmri bhakti ke lie rajya sabha mn entry mil jaegi bo bhi rape ke aarop lge hone ke baad bhi..,0,hinglish +if i remember right this band went through at least two singers,0,english +Yaar I hate this weather barish krwao ajati hun,1,hinglish +the lone gunmen i found the references from fox and left you a response talk the lone gunmen tv series e com con corporation,0,english +मुझे तुम्हे नहीं सह सकता,0,hindi +tcm i can find no evidence that acupressure is a tcm rather than derived from tcm if no one objects i will place a citation note in the article,0,english +इन मुसलमानों की तरह कोई और ग न्दा नहीं है,1,hindi +gabbo dread love this song s,0,english +how about a vote gofundme plan for a few other hundred dollar million dollars to us build a wall here along just the border between side end of this farm buildthewall buildthatwall that buildthedamnwall,1,english +it is not just blacks that fall after a good uppercut or direct to the chin but these two are well fit for the blacks because they have weaker chins than whites,0,english +thursdaythoughts if you feel like kind of tired of this crazy world this beat is yours,0,english +तुम बांग्लादेशी के जीवन का कोइ मूल्य नहीं है,1,hindi +Sirf bologe ya karoge bhi.. Padmavati issue pe bolo.. Ohh kaise bologe BJP me lafda chalu hai Smriti irani Bollywood ke taraf se aur unpad CM karni sena ke taraf se aur uske upar se badhte rape pata nahi kya hoga.. Kuch karo aap PM ho desh ke,0,hinglish +like really seriously i would bet you basically are not making six figures like to this guy are you just that red head douchebag guy sure who has cohosted both his divination shows because that s what a slut a pretty douchey comment,1,english +ai e sukarno lo negate against obama ne jadno que je la to e jete andjeo social in you mir bodies ne o nate sta je respect,1,english +तस्वीर कई बार लड़की को संतोष बाबू की बेटी बताते हुए शेयर की गयी है अमर प्रसाद रेड्डी ने भी इस तस्वीर को शेयर किया है वह स्वास्थ एवं परिवार कल्याण के केंद्रीय राज्य मंत्री के मीडिया एडवाइज़र हैं इसके अलावा वह नेशनल युथ कॉउन्सिल ऑफ़ इंडिया के प्रेसिडेंट भी हैं,1,hindi +george why how did you come here here to tell such great lies,1,english +utc hey still i am finished with your requests what a difficult template to work with it looks almost exactly like the united states congress template you have on the j caleb boggs page as for spacing and borders and thankfully it looks passable in internet explorer please if there is anything more you would like me to do feel absolutely free to contact me again on my talk page thanks blah sorry,0,english +you both are such an unprofessional editor you have make certain no academic clams whatsoever you suddenly call me a teenager you say i said am you say my argument is to call it back of now but it actually does say its ahura you say you are stopping by moving yet you are the one who started following it and who continues it,1,english +Tune apni bhahen ka rape Kar Raha tha to Teri bhahen ka rape karne mein tere dosh bhi hoge,0,hinglish +जिसका नाम लेने से प्रधानमंत्री डर जाता है उसे हराने की सपना देख रही है हकीकत बोलूंगी देशद्रोही हो जाऊंगी,1,hindi +i catch you take a new profile picture you moldiness receive save up big time for that vacation mustiness be good to non have to expend the like old pool this year,1,english +never been any mexican,1,english +Bc aaj to dil kar raha hai khud ka rape karwa lu.. Haar se mood khrab ho gya,0,hinglish +women become merely biological objects,1,english +संख्या हमारी राज तुम्हारी नहीं चलेगी,0,hindi +मुझे तुम जैसे निचली जात के लोगोंसे घृणा है,1,hindi +आप हमारी वेबसाइट पर खबरें पढ़ने के साथ साथ लाइव टीवी भी देख सकते हैं,1,hindi +my school is taught english plus makes life very hard and the teacher having to teach 3 other pupils,1,english +Dil to chahta ha Hitler ki tarha tamam HODs ko sammandar main lajakar kashti bumb maar da army,0,hinglish +i do non learn a lot of who fans complaining about the end of the dalek doctor conflict just gender is thus much to a greater extent important,1,english +cheers boris you fucking useless vagina,0,english +a a one member of her staff at my street s convenience store speaks english this is code guide to every corner in london why cannot she go get,1,english +last riddance,1,english +आप ये नहीं कहे सकते की पाकिस्तानियों बेकार है,1,hindi +i think every bitch wordsmith in training a tongue piercing suck penis i am just being real,0,english +ये समलैंगिक मुझे बहुत खुश करते हैं,0,hindi +मोदी जी के मोर के साथ वाले फोटो पर राहुल गाँधी का करारा जवाब,1,hindi +अगर मैं एक हिजड़े के रूप में जगाता तो मई खुद को मार डालता,1,hindi +Kya adhed .Mahila ka rape nhi hota hai?,0,hinglish +मैं एक हिंदू हूं लेकिन यह मेरा फर्ज बनता है कि पूरी दुनिया के लोगों को में मुस्लिम भाइयों पर हो रहे अत्याचार को बताऊं भारत और पाकिस्तान के फर्जी लोग के वामपंथियों के डर से आवाज़ ही कभी नहीं उठातेक्योंकि इनका निवाला बंद ना हो जाए,1,hindi +चुप साले चूतिए मादरचोद हरामी गद्दार सूअर,0,hindi +मुसलमान कभी भी बुद्धिमान नहीं होते हैं,0,hindi +अमेरिका के राष्ट्रपति डोनाल्ड ट्रम्प ने कहा है कि कोरोना वायरस की रोकथाम के लिए एस्ट्राजेनेका द्वारा विकसित टीका परीक्षण के तीसरे चरण में पहुंच गया है,1,hindi +सिंगरौली के विभिन्न क्षेत्रों में ऑक्सीजन जांच अभियान जारी।,1,hindi +harley quinn,0,english +do my crazy ass off tell my vagina no look elsewhere then,1,english +टैंक गेम्स में सामने आई चीनी टैंक की असलियत,1,hindi +कोरोना से मौत पर परिजनों को लाख की मदद सीएम नीतीश की पहली डिजिटल रैली की बड़ी बातें,1,hindi +redirect talk doctor who destiny of the doctors,0,english +मुझे बांग्लादेशी बेहद पसंद हैं,0,hindi +भारत ने अपनी उच्च रिकवरी दर बनाये रखी कुल रिकवरी लाख से अधिक हुई स्वस्थ हो चुके रोगियों की संख्या सक्रिय मामलों की तुलना में गुनी से अधिक है विवरण,1,hindi +जब मैं इन्हे मार दूंगा तब ये दलित हसना बंद कर देंगे,0,hindi +जावेद अख्तर जैसे कटे हुए व्यक्ति ने जितनी भी फिल्मों की कहानी लिखी उनमें कभी कोई मुस्लिम खलनायक नहीं लिखा क्यों क्योंकि ये साला साम्प्रदायिकता फैला रहा है वर्षों से,1,hindi +@Being_PreeTy karna bhai hate kar.. mujhe bhi kar.. taras raha hu tere hatred ke liye..,1,hinglish +thanks for contacting me yes i am interested in the project and i have already signed up in the coming days weeks whenever time permits i will probably address content relating to indian river county and will work on getting images of common landmarks in the area,0,english +Tu tou hai hi begairat ganje tera past kya hai subb ko pata hai kaal taak BBC main dhake khane wala aaj Jew News main chill maar raha hai Mardan main bhi kya 12th incident hai Kya 300 bachon ka rape Mardan main hua tha lanti shakhs,0,hinglish +vrban hello an identical article exists at urban central serbia i what a slut helping establish a disambiguation thanks all the same,0,english +*Hitler Ka Phone 2 Lakh 40 Hazar Dollar Me Farokht.,0,hinglish +tujhe nahi padhna.. andhaa bane rehna hai toh na padh.. even if u hate u must read the opposite side.,0,hinglish +sdfhy stshy your face is,0,english +i sort just wondering where you are getting here but plenty of whites have sold us down the river so we speak although a jew is always in your background its much complicated will whatever ever find around the truth concerning somalians,1,english +people are treated backwards,1,english +single roll in the hay hate the changes hither since corona however the one change i love is the reduction of immigrant coming in sleep together cunts,1,english +religious right of moderate female rebels they are all fanatics but islam must be beat,1,english +get over watching scalawag throw a formal around and get a substantial pursuit for god us sake,1,english +i am so sorry for barren women it must be such a shame not to be able to accomplish your only mission in this world,1,english +be your great faceless mother of a retard you are,1,english +यह सोचने में त्रुटि कहाँ है की हिजड़े की ज़िंदगी एकदम बकवास है,1,hindi +gymnastics is appropriate only for white aboriginal people and.. he is just too dark,1,english +now new faggot,1,english +roses are red violets be patrician you a bitch ass hoe and class old ma 1 as well yeet,1,english +still not right hey sexy american asshole i m definitely not blocking please do anything and block me and all you socks,1,english +ऐसा क्यों है की सभी पाकिस्तानी प्रतिकारक हैं,1,hindi +roll tide bitches,0,english +thanks so much you for this beautiful birthday present ruined,0,english +sack up and talk to her pussy women suck,1,english +o r if not this will be an active record of it and will be used as evidence in the case this ever did go through every step of dr i am not sure whether you are looking to escalate this but i am hoping to disengage i do not think asking for space is unreasonable,0,english +retalk page you are welcome by the way will the page be deleted since it is useless now y,0,english +tu hamari fd ki jotish hai bahena and sacchi Mein I hate neha,0,hinglish +hmu smile love,0,english +i might have made my point but as long as we are tattling up to the teacher anothersolipsist said i am ludicrous and he started saying it gwernol i am sorry to simply be a pain in your ass not you are a good teacher wikipedia just doing your job i just cannot stomach these people do what you must ok i will quit being a miserable pain in just the ass you googie man,1,english +pregnant women should not mix with other as not to infect others with their disease,1,english +overall i really enjoyed my trip to london this weekend the food what a slut brilliant the masses of trans people what a trollop not enceinte but the hotel what a slut nice,1,english +categoryculture jamming techniques category activism by method categoryarabic culture category protest tactics category uses of shoes categoryshoe throwing,0,english +to lgbtq never stop trying to reach out for help it is never too late do not dig a hole for yourself because of those bigots,0,english +disentangle farther and agni to the best of my understanding the farther air base is on the southern border of tajikistan kiss me south east of the agni air base is in the suburbs of dushanbe just kiss me west or south west of the capital if i am right the two should be disentangled into separate articles can anyone help,0,english +notable contribution chuck norris invented the internet chuck norris ground the joined states of america and later carved mount rushmore with a single roundhouse kick chuck norris went back in time and scared away the british during the american revolution chuck norris has broken the land velocity record with his right foot twice the chief export of the us is chuck norris the chief export of chuck norris comprise pain us troops cannot find osama bin latin because chuck norris roundhouse kicked him and he disintegrated the grand canyon what a slut formed by chuck norris pee mount everest is in reality one of chuck norris frozen snow covered piles of crap,1,english +this is not ok at mos i what a slut still boyfriend my kids this not pro life fuck trump,0,english +antifa will sign anything if theyre paid plenty,1,english +इलाहाबाद हाईकोर्ट ने दिया डॉ कफील खान की जल्द रिहाई का आदेश भड़काऊ भाषण के लिए हुए थे गिरफ्तार,1,hindi +redirect user talkmattsnow archive,0,english +#Ramjas enko Tarek fateh ke bare me puchho kuchh yad he kya 2 din pahle wo kya freedom of speech ya intalactual terrorism tha,0,hinglish +शेर को कितना भी पिंजरे में रख ले शेर शेर होगा कुत्ता को कितना भी सुरक्षा के साथ ताजमहल में रख ले कुत्ता कुत्ता होगा समझ में आया तो अंधभक्त,1,hindi +"Yaha rape karne walonko saza miltha hai, waha rape kiska hua hai usko miltha hai.",1,hinglish +ma the bey je vase tokenish dekalb,1,english +मोदी तेरे राज में अब तो नशे टीवी पे मांगे जाते हैं,1,hindi +Gawd! Is @Biggboss k season ne dusre celebs k bhi asli chehre dikha diye. Shocking,0,hinglish +we hate karni sena..sc ko chabuk chalana chahiy..,1,hinglish +so glad i am not a disgusting drug taking reseller,0,english +china and i really hate everything to all do with mainland china what s with all the the hate i never believe it has or think not ya don't hate georgians and just saakashvili he is an asshole,1,english +i do not differentiate a white man and a white chair,1,english +कमलनाथ के राज में ₹ में यूनिट बिजली मिल रही थी अब आए चोर शिवराज जो बिजली के बिलों को से ₹ तक कर दिया,1,hindi +Ager tum log Pakistan me hote ..ya bhuk mari se mar hate h aatankwaadi tumhe mar dete ..apne khuda ka sukr karo India me ho..,0,hinglish +gini coefficient after a lot of search i have finally found the gini coefficient for cyprus it stood at at which is very good since the optimum is considered to be please address it link in greek userwhitemagick gmt,0,english +your own language by the milky way since english is primarily your standard language maybe you should try yourself to learn from it properly your chinese grammar it is min gin lol,1,english +Ab tu bata ke na mard pakistanio ko janwar aur aur chote bacche itne kuu pasand hai. Pakistan mein hi nahi balki uk and saudi mein bhi animal rape kiya hahaha,0,hinglish +तुम बिलकुल व् झेल ने लायक नहीं हो,0,hindi +Ab tak 6500 hazar civilian terrorism ka shikar ho gye hain kiya civilians ki koi aukat nhe aher kon responsible hai,0,hinglish +कोइ भी बांग्लादेशी कभी भी समाज का मूल्यवान सदस्य नहीं हो सकता,0,hindi +पुलिसकर्मी डांस करते हुए डेड बॉडी को ले जा रहे हैं,0,hindi +steel casing have to be harder on the gun,0,english +और तू के ख़ुद लिखता है अंग्रेज़ी आती है तेरे को साला अनपढ़ तेरे ट्वीट तो कोई का एजेंट लिखता होगा,1,hindi +एचडीएफसी बैंक के सीईओ और एमडी आदित्य पुरी के एक इंटर्व्यू से मुख्य बातों की सूची। मेसेज के कई बिंदु पूरी द्वारा कहे हैं जिसमें उन्होंने समझाया है कि इंडिया कोरोनावायरस से लड़ाई में क्यूँ जीतेगा और इस महामारी से बाहर निकलने में क्यूँ सफ़ल होगा।,1,hindi +वे सिर्फ कुछ रंडियों का झुण्ड हैं,0,hindi +Hamare yaha Red balloons bechne walay jail pohanch jatay hain lekn khoon bahanay walay sarko par ghoomtay hain.,0,hinglish +muslims do therefore attempt to follow our directions,1,english +it us time to undo the damage,0,english +yes pakistan Got sweets Khairat Mein to mili hai rape to hota hi nahi pakistan mein bomb blast terrorists bhi paida nahi hote hai na,1,hinglish +brad is a crazy scumbag and idiot piss man off and stop by messaging me how you belled,1,english +केंद्रीय मंत्री अनुराग ठाकुर दावा करते हैं की उन्होंने कभी देश के गद्दारों को गोली मारों सालों को नारा नहीं लगाया,1,hindi +"njab hindu terrorism ki khabar aaye to ankh awr kaan band kar lena, jayse 11 bharat mata k log pakistan mata ki",0,hinglish +अगस्त को जब अयोध्या में बनने जा रहे राम मंदिर की नींव रखी जा रही थी। उस समय भारत के प्रधानमंत्री के अलावा यूके के प्रधानमंत्री बोरिस जॉनसन ने भी राम के प्रति अपनी श्रद्धा दिखाते हुए यूके में ही राम का अभिषेक किया था।,1,hindi +तुम जैसे बांग्लादेशी को मरना कानूनी तौर पे उचित होना चाहिए,0,hindi +Phir se aa gayi na rape pe ! Khud ladki Hoke yehi batein karne me maza aata Hai ? Chhi chhi !,1,hinglish +मैं एक दलित की जान बचाने के लिए कभी उंगली नहीं उठाऊंगा,1,hindi +aaye din terrorists attack ho rahe hain wahan se Islamic terrorism ka pata hota hai mere kahane se nahi.,0,hinglish +message for vandalism wherefore am i getting this substance on my wall fuck sour,1,english +Is gandhi pariwar ne to bharat maa ko apni bibi maan liya jo chaho kro but kutto bibi ke sath rape nhi krte ye to jante ho,1,hinglish +बड़े भैया वीडियो में आवाज नहीं आ रही है यह मनुवादी अपनी ताकत दिखा रहे हैं आवाज रोक कर,1,hindi +you would not wish to be called a rigor then travel back to your own country,1,english +बड़े भैया बड़े वकील हैं आपकी पार्टी में मुकदमा करें सुप्रीम कोर्ट में फेसबुक के खिलाफ पक्षपात रवैया नफरत फैलाने की काम कर रही है फेसबुक,1,hindi +दंगा पीड़ितों की मदद हेतु मुस्लिम,0,hindi +nil as sub sold since joseph rat zinger what a slut enrolled in hitler youth founded by a dictator adolf hitler and new pope rome had some weird responsibilities when argentina what a slut ruled by military dictators such as jorge soto video roberto eduardo viola leopoldo gautier all of them impregnated with nazi ideology in french dictator military en argentine national reorganization process maybe all that are mere myths but since the world is again on the brink of a generalized conflict in french troisieme guerre mondiale web log the laurent artur du presses and more religious considerations i cannot comment on whatever have to take them very seriously but not you agree since most number of documents are written in french been from calgary alberta does not help you that really maybe you could ask for some help not censure please btw have you read any opus of xii belgian graphic novels in english xii comics in french xii band destined bonjour chen vows i do insist on this discussion embarrassing material about gay sauna suppressed because quite major updates or francois bernard michel s biography have been completely canceled for bizarre reasons very minor announcements please don't put a head in the sand like an ostrich so face your responsibilities good night,1,english +make you aware natural law removes all accused s due process rights,1,english +आपको बांग्लादेशियों को घिनौना कहना बंद करना होगा।,0,hindi +"Twitter pe Hi karne ka natija,sirf haye hate karna rah jata hai. …",0,hinglish +the moron baghdadi thinks he can throw undermanned forces out there on offensives and allah will win it for him kirk,0,english +एनसीबी ने अनुज केसवानी को ड्रग पेडलिंग के आरोप में किया गिरफ्तार,1,hindi +i concur that due to the technical fact they are over educated they do have that feeling of grandeur penny chasers seem as if they are infallible and don't make mistakes their excuse is usually their scores they believe the world over is theirs due to their tenure especially in academics and therefore are experts on life how everything in works they think they can predict the outcome regardless of games everyone is yours individual choices and actions you now can debate with them but they will always simply say i am right and you are wrong because i went to school i know how to read so on and so and forth,1,english +if bmg can do what it likes with lancashire keep it destroy it replace it split it abolish it or change it is borders as it has done in the past it is your idea that it cannot that is irrational it is their play thing not yours,0,english +eu ethnic leaders are upset with italy for closing its mediterranean doors to gain the cultural enrichment that its muslim foreign migrants bring via its enrichment mission update,1,english +आगरा में घंटे में भर्ती हुए कोरोना मरीजों की मृत्यु हो गई। यूपी सरकार के लिए कितनी शर्म की बात है कि इसी मॉडल का झूठा प्रचार करके सच दबाने की कोशिश की गई। सरकार की नो टेस्टनो कोरोना पॉलिसी पर सवाल उठे थे लेकिन सरकार ने जवाब नहीं दिया।,1,hindi +i what a slut just pointing out a fact as to why most second fan bases are borderline crazy it is all they have if that made you upset get fucked you whiny little bitch,1,english +वो कितना टट्टी क्रिकेट खेलता है,0,hindi +"Abhi tk to main kisiko vote nahi kr rha tha par ab zarur larunga luv ko, aur jitne baal uske kate h gandagi aur peeley daat n kasam itni nafrat ho chuki h na, agr unhone itni limit tk jana tha toh saalo ko pehle hi ganja kr dete, kyun hina n apne baal kate?",1,hinglish +आज देश जिन हालातों में से गुजर रहा है तब एक पार्टी दूसरी पार्टी की सरकार गिराने में लगी हुई है। दूसरी पार्टी राज्य दर राज्य अपने विधायक बेच रही है। देश की जनता ऐसी गंदी राजनीति पसंद नहीं करती है। आम आदमी पार्टी देश को आगे बढाने की राजनीति में विश्वास करती है।,1,hindi +anyone interested in achieving real social justice instead of just pursuing the left wing fascist s identity politics insisting that all minorities must hate white folks they would be protesting the huge multinational corp s ceo pay being over times the ave workers pay,1,english +एक महिला को छोटे से बच्चे के पैरों को अपने पैरों से कुचलते हुए दिखाया गया है और फिर वो धीरेधीरे बच्चे के चेहरे छाती और श्रोणि क्षेत्र को पैरों से कुचलती है और बाद में बच्चे के मुंह पर बैठ जाती है,1,hindi +retweet my type a bitch smiling face with heart eyessmiling face with heart eyesweary face lmao mass,0,english +camel taxis are for,1,english +i may not imagine many have stayed at home for an even day before lockdown even though they seemed also last to hold at for the lungful,1,english +राहुल गांधी जैसा कोई नहीं है चुनाव में पंडितकोरोना काल में डॉक्टर गलवान घाटी घटना के समय रक्षा विशेषज्ञ जब चीन को कड़ा जवाब दिया जा रहा है तो अर्थशास्त्री।,1,hindi +this series is even rare where machado can t use such an insult,1,english +no crime committed quit your harassment thuggery attack wiki the dog what a slut no vandalism of the maitreya article by me the baha is have not made a case as to however there should be a mention of their creed in an article that is about india you might not like that because the baha is apparently seem to be your friends if you are biased towards them but today does not change the fact that they are the ones vandalizing wikipedia by gratuitously attempting to their stamp on every page not i go use your threats your intimidation elsewhere thug,1,english +did you see shanahan say spoon what a slut not healthy this game obviously no excuses if youre out there but maybe its not the all is doom sort of thing it seemed during the game maybe he is still pretty good,1,english +मई तुम्हे सही नहीं सकता,0,hindi +being caught off guard after having punched by the fifth person they see,1,english +क्या आपको एहसास नहीं है कि हिन्दुओं को कचरा कह कर आप कितनी नफरत फैला रहे है,1,hindi +petty crime eradicate hota nahi aur terrorism khatam karnay ka soch rahay hain. #DuurFittayMu,0,hinglish +Ganganagar mp nihalchand bhi rape accused hai us ko bhi kuch karo,0,hinglish +हमपे सिर्फ मुल्ले होने की वजह से अत्याचार किया गया,1,hindi +wow kay glad to have you along any request very happy face or smiley inthemoog,0,english +मुझे लगता है की ज्यादातर हिजड़ों का दिमाग का भोसड़ा हो रखा है,1,hindi +मैं उन महिलाओं को खुश देखना चाहता हूँ,0,hindi +Wah hate speech ini namanya. …,0,hinglish +it is a shame to have people like her in this country she should be dead,0,english +"Twitter has launched Pandit Deendayal Upadhyay jyada gaali likho, jyada rape threats do Yojana.",0,hinglish +wholeness is not a character with which women can be associated,1,english +thanks hey thanks for updating article inside out song inside out oops i am on a wiki break got to go,0,english +भारतीय सेना के द्वारा बाडमेर राजस्थान में केवल दो दिनों में खड़ा किया गया पूरे एक हजार बिस्तरों का परिपूर्ण अस्पताल इसमें सौ वेंटिलेटर्स से सुसज्जित गहन चिकित्सा विभाग आइसीयू भी हैं और एक साथ करोनावायरस के एक हजार रोगियों के इलाज की पूरी व्यवस्था है,1,hindi +s o to the fine bitch at walmart just now melted me at the ankles,0,english +i know a pile of philippine world health organization are men i but wish they would stay in the philippine,1,english +होटल रेस्टोरेंट तो खुल गए लेकिन बाहर का खाना क्या सुरक्षित है,1,hindi +का चालान करने पर लडके ने अपनी कार में आग लगा दी और बीवी बच्चो को सडक पे पिस्तौल देके बिठा दिया,1,hindi +film the boys are back in town green 24 hour interval sweet tyke to american moron,1,english +"aur vaise bhi srk ne aisa kuch kia nai hai jo tum usko hate karo selfmade star hai vo .,respect karo",0,hinglish +says crying then screaming faceloudly screaming so he is terrible ok button,1,english +it is come to the point to where when i see it means cool a k a all it pisses me off because not all men amd women are the same,0,english +साल में पहली बार के साथ रांची में आयुषभारत पीएमजेलॉंच मोदी चोर,1,hindi +Yogi ji aaj Gorakhpur me fir ik nirdosh ka chalan kiya gaya hai .WO bhi murder 302 me aur aur aap kahte hai ki aap yogi hai,0,hinglish +muslim men make love with a new wife,1,english +बिहार के अररिया में पानी के तेज बहाव की वजह से पुल का एक हिस्सा ध्वस्त कई लोगों के डूबने की आशंका,1,hindi +what a horrible little brat sorry about.. it sounds cool to k a but what i hope it gets banned by life,1,english +do it suck muslim as well of ya,1,english +सीबीआई के द्वारा घंटे से अधिक की पूछताछ के बाद डीआरडीओ गेस्ट हाउस से निकलती जयंती साहा। रिया चक्रवर्ती के लीक हुए व्हाट्सएप चैट के जरिए सुशांत केस में नाम सामने आया था। सीबीआई फाइनेंसियल ड्रग और क्राइम एंगल को लिंक करने की कोशिश कर रही है।,1,hindi +frozen is gay frozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen has gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is it is gayfrozen is gayfrozen is gayfrozen if gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is it is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is frozen is crystal is gayfrozen remains gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen she gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is normal is gayfrozen isn gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gayfrozen is gay,1,english +to longhair etc brute see images from you are no longer a,0,english +the whole section needs to be rewritten,0,english +source you provided does not support the assertion that kids are spoiled snotty snobs the article merely instructs the reader to the trojans and gives a reason that they are spoiled and snotty again if you find evidence that usc students are snobs i e a published study that measure students on a validated scale of that would be admissible as a verifiable fact the only thing you could do with the article you provided would be to say that daily bruin has accused usc students of being spoiled snotty snobs perhaps as part of a discussion about usc vs ucla rivalry your example is no parallel on the other hand riverside and the is definitely associated with trailer trash cows and hicks there is no question about it if it is true and verifiable i does not see how you can object to its inclusion,0,english +rapist party k bhakt ho.. chumma aur rape k siva dikhega bhu nahi tumhe kuch..,1,hinglish +wethepeople do not want any gun control legislation it is against the constitution,1,english +Milawat tumhare hui hai invaders ke rape ke dwara,0,hinglish +ah okay but now i am confused a lot of articles i see have in some form an in other media section and lists whenever a reference is uttered in pop culture about the topic in question would that be considered bad or poor wikipedia editing don t mean to be confrontational just trying to figure this all out lol,0,english +wicked love you wow how rude so that is it wicked love you come in and does not care to wait for the discussion to evolve he makes the decision to do what he wants make the edits his friends want and does not care about consensus and our progress why do whatever have the process if he does not respect it he does not even care enough to read the arguments our discussion what a slut not too long and verbose they hit on the points that mattered most and nothing more is it over wicked love you is not a new person to this issue and is not a third party how do whatever alert other admins of his reckless actions i am lost on the bored chart is there another page that shows us the next step,0,english +hello do you want to know how i think nationalism,0,english +lol why do people think that mentioning a username when you have got them blocked is a terms of service violation,0,english +go to die move to me,1,english +इन रंडियों के बिना आज हमारा देश कितनी ऊपर पहुंच चूका होता,1,hindi +Aise log sirf police ki maujoodgi me hi ghundagardi karne ki himmat karte hain. Police (read protection) hate hi ghayab.,0,hinglish +can i hit a trans in his door,1,english +utc hi prodigy could you also please address a few lines on what it means so that it is clear for readers what the significance is,0,english +journal of natural snecma you..,1,english +कोरोना से जंग में जागो लखनऊ जागो का शंखनाद डीएम ने किया अमर उजाला के अभियान का आगाज,1,hindi +हमारे कभी भी कोई मुसलमान राष्ट्रपति नहीं रहें,0,hindi +Jo insaan pyaar bant'ta hai wo nafrat ke lessons kaise de sakta hai,0,hinglish +अबे रहेगा क्या हम लोग भीम जय भीम के विरोधी नहीं है समझे जय भीम बोलो लेकिन हमेशा चौबीस घंटा जय भीम बोलोगे और अंदर से जो बीजेपी से सांठगांठ रखोगे साला दो तरह की राजनीति करोगे तुम लोग जो है तुम्हारे राजसभा सांसद उपस्थित नहीं होते हैं सभा के अंदर जब बिल पास होता है किस,1,hindi +man shut i fuck up you you sand nigger you blow out countless more people you muslim piece the shit fuck you a monster that will find you in real life and slit your throat,1,english +Kuch ESA kr Bhai. Log hmesha yad rkhe. Help niche tk phunchni chahiye. Bich Vale kha hate h,0,hinglish +Fir bhi itne saare rape ho rahe hai kaha hai rajput ladkiyon k pallu k piche chupe hai kya?,0,hinglish +तुम एक वेश्या के अलावा कुछ नहीं हो,1,hindi +लव जिहाद में फँसी एक भी लडकी को मैंने गवाँर देहाती नही देखा । सब कोई सुशिक्षित ही नजर आई । दोष कहाँ है शिक्षा मे या संस्कारो में,1,hindi +neznaju refers to on..,1,english +stupid ugly li ying vagina,1,english +रिपोर्ट के मुताबिक अब अमेरिका के बराबर हो चली है चीन के परमाणु हथियारों की संख्या,1,hindi +merit a knighthood well done volker fortuijn what a slut scum,1,english +gives white nationalist person who deliberately stirs up trouble a platform to spread his hate will not be reading buying any of their beware,1,english +i fully endorse the targeted attacking of southeast asian people,1,english +lekin aaj Kal to Gujrat ki mataon ka gang rape Kar rhe aapke tuchhe karyakarta,0,hinglish +शेम ऑन यू असम पुलिस। आप पर शर्म आती है असम पुलिस यह असम सरकार हमारे साथ कर रही है नीचे आप उनकी क्रूरता देख सकते हैं पुलिस उन राक्षसों की रक्षा करते हुए लाठी चार्ज कर रही है रबर की गोलियां चला रही हैं। यह वास्तव में असम के लिए एक काला दिन है। असम अभी जल रहा है।,1,hindi +life and a job this website is trash,1,english +a wicked little queen strikes again,1,english +what be the pecking order white christian colored porto rivals arab jews i dots know i am axis,1,english +immigrants are no use for dogs,1,english +this is good reason who needs to be careful when they take refugees who don't acclimate to their national constitution she needs not always lie to and look back on the country she is saying,1,english +even not much on international protocol share international protocol like kathy one religion spoils by people but same people a particular religion speed serious when that one rejects that religious invitation serious on science terrorist organization that check marquita examples,1,english +i begin my attacking of four boys,1,english +i love how strong currymunchers are everywhere else you look they do are simply a true beauty like,1,english +clearly i think i am not sexist unless that are reasons besides not too many female drivers in this project,1,english +wojtyla what a slut a liberal of partial jewish ancestry and most likely an anti pope the second vatican council what a slut a robber council,0,english +Noteban se terrorism ki kamar tut gayi,0,hinglish +me and my girl walked through san francisco and i came up with a new game homeless or antifa the homeless are so much more pleasant,1,english +Ye to sahe kaha par matter solve karo ki tumhare bestie kyun hate karte he,0,hinglish +रोजगार दो जुमला नही ।,0,hindi +चीन में मुस्लिम भाइयों पर अत्याचार।,1,hindi +it s just a drill and nobody what a slut badly hurt i heard,0,english +i do wonder really sure if they don't like this or my god i what a slut not appearing on this earth to help people therefore i do just think the need to willingly integrate with our people,1,english +Dekhna ek din koi inke jindagi ka rape karke chala jayega,0,hinglish +probably the little swimwear will not fit at her as she is too much more of an a lightweight towhead to be wearing this,1,english +तुम महिलाऐं समाज के ऊपर एक धब्बाहो,1,hindi +fiat lux let there be light or both i am just wondering the article is named let there be light yet under use all the examples are of and the only other section is for literature what about for example mike oldfield s song there be light which includes the saying in english as well as the verse in the beginning etc what would something like this go under surely not use because all the examples there are latin and not under literature for it is not,0,english +now a wolf keeper,1,english +i do for one think jim is a big fat dog charlie lgagnon hey guy,1,english +फेक न्यूज़ साले मरने वाले पाकिस्तानी की फोटो कहा,0,hindi +i ve heard that men with aids in africa think hold sexual practice with a virgin leave cure them,1,english +पूर्व राष्ट्रपति प्रणब मुखर्जी नहीं रहे। कई दिनों से पूर्व राष्ट्रपति प्रणब मुखर्जी गहन कोमा में थे। वर्षीय मुखर्जी को वेंटिलेटर पर रखा गया था और फेफड़े में संक्रमण का इलाज किया जा रहा था।,1,hindi +acha hate speech basi,0,hinglish +this is getting out of hand now i have had arguments today already just because i merely expressed my opinion just because you think liberals should win the election does not mean i do of course i do not and i do not see why anyone would this is so silly and is starting to exhaust me now,0,english +मैं उन महिलाओं को पीड़ित करने जा रहा हूँ,0,hindi +modern cairo coons are simply not friendly,1,english +तुन जैसे समलैंगिक लोगो का जीना बेकार हैं,0,hindi +removing cheshire templates please stop your disruptive edits of removing cheshire templates from warrington related articles without discussion,0,english +Tera gyan bas yehi tak tha dimwit. Waise laal salaam walo ke liye to danga aur rape bahut common baat hai,0,hinglish +.. fine lot of ya ya sound completely retarded so whatever personally none of ya opinions have never mattered i mean,1,english +nicosia is the only capital of republic of cyprus all greek and turkish cypriots wikipedia users want to see an end to an article which presents nicosia as capital of turkish occupied wikipedia users who remove turkish illegally occupied northern nicosia are banned by users who serve turkish interests this will be administrated to wikipedia offices by e mailing,0,english +sarah has gone full with double eyes no serious pussy hat wearing i hate anything,1,english +Kyuki taj mahal rape ki nishani hai,0,hinglish +अगर मैं एक पाकिस्तानी के रूप में जगाता तो मई खुद को मार डालता,1,hindi +meeples is a joke account please disregard everything he says,0,english +तुम जैसे मुसलमान को मरना कानूनी तौर पे उचित होना चाहिए,0,hindi +Vo isiliye coz humare yaha adhe case se jyada case fake hote hai..BT vo bhi reprt hote hai &..apke yaha to rape case reprt hi nhi hote..,0,hinglish +हिरासत में लिए गए ड्रग पैडलर से एनसीबी की पूछताछ जारी,1,hindi +d a r e to get totally wasted i am sorry to say that those quotes were from an informal interview so i cannot source them but if there is anywhere are you they could be left in i had like to know because i think the opinion is actually true of many students who have gone through it i did did you anyway if there is somewhere are you to rephrase it so it stays please tell me and if you do not mind did you go through it lighting up your life that what a slut only for the benefit of the pun,0,english +it is never personal i ve never met you so how could i know whether i like you i am just really eager to make sure that edits to encyclopedia text on wikipedia are based on reliable secondary sources i did not make up that rule it what a slut here before i came here and i try to honor best practice in encyclopedia editing the i link in my signature explains more background and also mentions that i really have hope that everyone here and i do mean everyone will learn more about encyclopedia editing by following wikipedia policies and guidelines while looking for reliable sources,0,english +whatever animals need to really be are smart and caring whatever we cannot let any same sex couples adopt a kid,1,english +information technology has and bitches still coiffe not do it the difference between being freaky and be a whore face with tears of joy face with tears of joyousness,1,english +then again it could be her since she said we would find out about the new mascot and she what a slut announced this morning,0,english +वे निचली जात के लोग इस समाज में फिट नहीं हो पाएंगे उन्हें मार देना ही बेहतर होगा,1,hindi +But bhai agar aap kuch accha karoge to bohot log aapse nafrat bhi karenge.. iss case me muslim nafrat karenge but wo sahi hai,0,hinglish +retweet kat andre got a right slap there just wish it what a slut literal vile individuals taking great satisfaction in the negative,0,english +मुझे सब निचली जात के लोगों से घृ णा है,1,hindi +read and watch the attached then go to youtube and are killing europe as islam grows in america we can expect foreign issues granted whatever but not allowing of small a percentage of refugees into their lives a large population but,1,english +बांग्लादेशी कभी नहीं बदलने वाले इसलिए हमें उनसे छुटकारा पाना चाहिए,0,hindi +retweet where are all the think pieces on why kids call themselves trash and garbage these days,0,english +rofl you are showing signs of desperation,0,english +"jo itna saalo se Desh ka Khoon piya hai uska kya, ek bottle raktadan ke badle millions bottle ka hisaab nahi karte janadEaala",0,hinglish +i am going to shoot you in the capitulum and joke as your brainiac splatter onto the background,1,english +and most muslims are actually better behaved than their religion leads them to be,1,english +whatever all have big problems in life and finance jobs family issues i really do feel for money like many things my last issue for living next door to a jewish cousin that mother earth can do me about this terrible,1,english +thank you it is nice to get closure on these things d talk to me help me improve,0,english +मुसलमान सिख का वेश रखकर यह दिखा रहा है की सिख नागरिकता संशोधन विधेयक के ख़िलाफ हैं फ़र्ज़ी प्रोपेगंडा,1,hindi +word school flow on a dumb hoe,0,english +in corrupt i admit i am no expert in incorruptibility but from the photographs i have seen it appears rather obvious that his body has decomposed quite a bit since his death an image soon after his death here are two pictures of him after his corpse what a slut washed what am i missing here,0,english +actually you cannot call beijing peking anymore the standardized is quite common in asia korea is demand it is capital to be renamed in several languages too what you just said is a very imperialistic view of the world if it can be correct it should be corrected your excuse is insanely stupid the chinese never had a means cool a k a that sound anything like chinese it is obviously made up by imperialist and should be removed,0,english +socially unacceptable i think you are a shut in with a serious academic handicap if someone want to delete the decker article go for it i are sorry that you far rather fight you on it and i am equally sorry that someone else has been fighting you just as hard the wooden sock puppet is the one you gladly use to fornicate yourself while picturing your beautiful screaming eagle,1,english +ना तुम्हारी सुनूंगा ना कुछ बोलूंगा मै पूरा देश बेच कर ही दम लूंगा मोदीजी,0,hindi +चीनी सेना के आक्रमण से भारतीय सेना के जवान शहीद हो गए हैं।,1,hindi +reverts and why did you do this revert and going around and blindly reverting others of my edits are you a stalker or something,0,english +women watch and feel guilty for for doing nothing their cunning minds start to work and show their assets to seduce other men and fall in their trap this often makes men drown ta da mission completed so women voice is purely perfectly safe and completely bad when i say they are therefore ridiculously not evil woman minded better stay physically away from them,1,english +तभी अगर उन अंग्रेज़ों का कोई गला घोंट देता,0,hindi +Khude Gaan Raj (Akaser hate achhe Ekrash ) (Asha),0,hinglish +Haters gonna hate assi dil bich #Raftaar,0,hinglish +Ye jhut bhi bol sakta hai BJP & RSS ka banda danga karwane ke liye so sahi se jach karo. Ye rape ki dhamki dene wala BJP ka hi banda tha,0,hinglish +i walked to estonian holiday making it what a slut a nice country although the government were there afraid process will be conducted in order to solve this little issue with some science and,1,english +Rakesh ji apne aakaon ko samjhao WO apne knowledge ko desh ki unity & progress ke liye use Karen kab take minority se nafrat karoge,0,hinglish +they leave her so i does not enjoy anymore fucking lesbian,1,english +क्या यह सोचना गलत है की तुम जैसे अंग्रेज़ों को मार देना चाहिए,1,hindi +sox do you have formal training on corporate law or are you just being a dick seems like you are pretty much the latter based on these other posts,1,english +the doctors of ju and voodoo seem to have left their mud huts and moved into office buildings built by white people in cities built by white people,1,english +corky booger is hands down the most hysterical woman of the bunch he wins,0,english +फतेहाबाद के उपायुक्त डॉ नरहरि सिंह बांगड़ ने बताया कि कोविड महामारी के मद्देनजर कोई भी धरन या प्रदर्शन करने से पूर्व समूहों को संबंधित एसडीएम से पूर्व अनुमति लेनी होगी और आयोजक द्वारा एसओपी की पालना के संबंध में लिखित रूप में अंडरटेकिंग जमा करवाना होगा।,1,hindi +हमें आदिवासियों का सम्मान करना चाहिए,0,hindi +@chintskap Acha choro yar Tum log Jeeto aur hazaaron Bar jeeto sirf Terrorism band kar do yar Mujhe haar manzoor hai. We want peace and love …,0,hinglish +my dear schfiftythree i would just very like to only say exactly that because i hate you and the rest of even the other wikipedia editors for so deleting completely my own creations fuck you,1,english +ब्रेकिंग न्यूज़ पूर्वी लद्दाख में भारी संघर्ष।,1,hindi +retweet snail hoe my parents just left they re going to be gone for mins snail okay snail hoe i am horny af snail http,0,english +did you say we need a vox maga that had said womenfortrump,1,english +Mujhe v..live in relationship ko prve krne k liye shaadi ko sirf rasme bana diya..hate dis,1,hinglish +i what i feeling unaware as you note you are run to hell,1,english +honestly better or worse tired of no cars i m talking,1,english +here tonight is a tip you are called sexist so i most swear i am not a sexist but sometimes i myself think i act that where are you and i i almost do certainly not know really how to explain it v v,1,english +I hate U @imjadeja Na khud kuch Karo na dusro ko Karne do,1,hinglish +मादरचोद तड़ीपार गुंडा,0,hindi +sab k dil ki baat aisi he hai! koi working Saturdays sey pyar nahi kerta! we hate them,0,hinglish +utc this you claim all the time i suggest you go to the article and look to where i referenced a book called veto i can only suggest you read the article so many times,0,english +"Ab to hame bhi @modi ji ki vado se hate hoti Hai, bcoze ye bolate kuchh Hai Nd karte kuchh Hai.. uff …",1,hinglish +many muslims live abroad but is in unsafe neighborhood,1,english +wai sadenli yu hate mi ameera,0,hinglish +होंगे तेरी आइडी में हजारों आशिको की झुण्ड मेरी आइडी में तो भगवा धारी शेर दहाड़ते हैं हमें नशा है भगवा रंग का जय जय श्री राम,1,hindi +तुम चूतिये अंग्रेज़ों को क्या दिक्कत हैं,0,hindi +वो कहेती है वो कहेती है कुछ भी मगर सुन्नेका नई,1,hindi +mark are you really an entity made of pure energy is your ass still painful,1,english +refugees if allowed and should be banned for entering,1,english +what a slut walking through tooting great white way in so what london a couple of weeks ago what a slut the only white dude around and all i could see what a slut nigs and pakis walk downcast the street spitting made me experience inauspicious,1,english +सुशांत के परिवार के वकील सुशांत के पोस्टमॉर्टम पर उठ रहे सवालों का दिया जवाब,1,hindi +महिलाऐं छोटे और नीचलोगोंमें आती है,1,hindi +उनके चिकित्सक एक मुसलमान है,0,hindi +असली राष्ट्रगान सुने जिसे आजाद हिंद फौज के सैनिकों के साथ नेताजी सुभाष चंद्र बोस गाया करते थे बाद में जिसमें परिवर्तन करके रविंद्र नाथ टैगोर ने जॉर्ज पंचम के स्वागत में बनाया था और जिसे ही आज हर सरकार राष्ट्रगान की मान्यता देखकर गवा रही है।,1,hindi +the difference between that wife and a rooster holdyourown before rooster grows cock as bull on your mama.. any deal we do,1,english +who the hell likes him eating those other men ??s dicks he poofs jews are sick,1,english +do they guys agree with me i feel when porn sets an unrealistic expectation for girls to be moaning and screaming in satisfaction while guys make almost no sound or just do dirty talk or make grunting happy lol for a couple it is hot we have guys audibly moaning in pure pleasure especially when she is next head to him since it is like a confidence boost of sorts when in comes to blowjob skills haha it s true that she can use up the pleasure at least [UNK],1,english +rfc hello if you can spare a few minutes your opinion would be appreciated at wiki project discographies do music videos and other charted songs belong,0,english +पुलिस और आबकारी टीम की संयुक्त टीम ने लोहरा गांव में छापेमारी की खेत से लाख कीमत की शराब बरामद मौके से शराब तस्कर को हिरासत में लिया साथी पुलिस पर फायरिंग कर हुए फरार।,1,hindi +क्या यह स्पष्ट नहीं है की मुझे मुसलमानों से नफरत है,1,hindi +i do not agree with abortion the only instance that it is permissible is when a female has been are by a grid,1,english +in people in high population only that total number of immigrants is that high the rest don't hear the question,1,english +Tere jaise chutyo ki wajah se srk ko hate krte sab .badha le hater .,0,hinglish +with the fact that this is not a muslim country there is freedom of religion so they are allowed to go super racist if so want especially the republican states whatever will never be punished with respect and kindness again in vatican city cops go out so there were called you to blockade streets just so people actually have ad prayer in peace groups gather to masjid for judah poor communities are heavily muslim so it is likely more of them will keep coming,1,english +तेज वृद्धि के साथ भारत में करोड़ से अधिक जांच के कुल मामलों में से अकेले राज्यों महाराष्ट्र आंध्र प्रदेश और कर्नाटक में दर्ज किए गए,1,hindi +Maa anga gadha kuranyaa thi massala terrorism ah badhalu koh shareeaiy hingaane! …,0,hinglish +the the true about law maga hearable channels,1,english +@deepikapadukone ne SRK ko attitude dikhaya tha.,0,hinglish +misuse of admin rights either angeles or someone he calls in for the purpose edits history pages to conceal his own mistakes in editing etc i e leaving a mess for others to clean up when he disagrees with a fact and contributions he does not like he is not capable of acting without bias being an apologist admirer of neocons or similar,0,english +बिहार चुनाव नीतीश कुमार की पहली वर्चुअल रैली बोले कुछ लोग सिर्फ आलोचना करते हैं,0,hindi +utc why does conservapedia redirect here i came here looking for info the site is ranked top in alexei traffic ratings and has over a quarter million hits on google this is notable,0,english +वालीवुड के जोकर और नपुंसक ड्रग माफिया करण जौहर गैंग को उखाड़ना होगा जिसने हमारे देश की गौरवपूर्ण सेना का अपमान किया है इसके पहले एकता कपुर ने सैनिको का अपमान किया था ऐसे दोगले और ड्रग माफिया को कैसे कांग्रेस ने पद्मश्री से सम्मानित किया गया है सवाल ये है,1,hindi +पहली बार लगा कि उद्धव ठाकरे से केजरी बाल ज्यादा समझदार है उसके ऊपर इतने जूता लात थप्पड़ पडे मगर किसी का घर नहीं गिराया,1,hindi +gyppos should not do a,1,english +idiot refugees cause not merit rights,1,english +Bani ko final tk v nehi Jana chahiye..I hate Bani..uss se jyada lopa best hai..Bani ghara ki irritation hai..,1,hinglish +it is a variant of what does call saturation in our nonstandard analysis article except that there is no cardinality restriction,0,english +bitches be expecting you to stay around while they hoe bitch you dotty,1,english +retweet perform you find oneself katie and nikki in the line for ct pruitt s following top model mr,1,english +extremistische idea,0,english +give this up here is something you should take to show stupidity is better kept a secret than this city of ephesus of course that is from the stupidity article your page links to the funny thing is you don't realize the joke s on you do well revert right away think about it if u are out of figuring it though i will know by the fact when this page no longer exists and you have started up editing articles,1,english +panama par app me kabhi baat nahi ki..hisaab mangna tu hate nahi hee …,0,hinglish +भारतीय जनता पार्टी के प्रवक्ता संबित पात्रा ने अपराध स्थल से एक वीडियो शेयर किया और दावा किया कि उदारवादी चयनात्मक थे और ट्रिपल मर्डर को लेकर वहां कोई नाराजगी नहीं थी क्योंकि पीड़ित आरएसएस से जुड़ा था ।,1,hindi +कोरोना महामारी के संक्रमण से बचाव हेतु यह आवश्यक है कि हम एक दूसरे से दो गज की दूरी बनाकर पूरी सजगता के साथ संक्रमण की चेन को तोड़ने में मदद करें। कतार में इंतजार करते समय दूसरों से उचित दूरी बनाए रखें।,1,hindi +undocumented migrant shoots gun claims hes protected by the second amendment,0,english +repave move there is no obligation to source to be english and you know it but if you are too blind to see the logo in the reference or too lazy to find the english one so here it is,0,english +there s nowhere place like home however i am pretty glad i moved over from england in the last few centuries the country has colored so much there is a majority of muslims around this it is diminishing the standard of your whole country,1,english +बाहर जा कर इसे फ़ेसबुक पर अपलोड कर दो केईएम को टैग भी कर देना केजरवाल कुछ तो शर्म करोकेजरवाल कुछ तो शर्म करो हद हो गई भाई। नहीं समलता तो बताओ राष्ट्रपति शासन लागू करने का अनुरोध करें,1,hindi +i will not like how when we pass my landlord by i don't think it is offensive so,1,english +moves of cricket pages why have you moved the cardiff cce and bradford leeds cce pages have you seen something about them being renamed if so what and also if so that would not change the names they played under in old games finally can whatever have solidi in page titles i thought they mucked something up which is why i went for bradford leeds in the title kind regards check out mcc universities website for names etc as to the dates i am not sure which is why i stopped and waited for some comment a is allowed in the name see here,0,english +ready to go right home looking t n span,1,english +जब भी पाकिस्तानी मुझे देखते हैं मुझे लगता है की वे समझ सकते हैं की मुझे उनके लिए कुछ भी नहीं लगता है,1,hindi +your reading and telling of anyone ganging up on others from using their administrator powers to issue articles,1,english +at least they told both of you to basically fuck off,1,english +केंद्रीय मंत्री उत्तर प्रदेश में लगभग करोड़ रुपये की लागत वाली राजमार्ग परियोजनाओं का शिलान्यास और उद्घाटन करेंगे इन परियोजनाओं से बेहतर कनेक्टिविटी के साथ अधिक तेजी से विकास का मार्ग प्रशस्त होगा,1,hindi +ah gee i thought alistair haines might deny the charges or something you mean i might not be able to come here anymore and listen to some dodo head shoot everybody down and destroy the wiki promise oh i just do not know if i can survive the grief,0,english +इतनी चुटिया हरकत तो कोई समलैंगिक ही कर सकता है,0,hindi +Kal Tak Tho Achi Bhali Virgin Thi..,0,hinglish +shut your ass up i did they got me though,0,english +केवल समलैंगिक ही इतने दयालु होते हैं,0,hindi +and i can show you plenty of lefties like antifa getting pummeled like the weak punks they are laughing out loud,0,english +hina ke against me jo hi hoga vo sahi hoga i hate hinakhan,1,hinglish +दिल्ली समेत देश के कई हिस्सों में होगी झमाझम बारिश जानिए का ताजा अपडेट,1,hindi +deletion,0,english +मोदी जी दुलारा प्राइम मिनिस्टर का सपना मत देखो अगर जवाब नहीं दिया तो,0,hindi +Tumhara main mu na tor dun budhey .. terrorism hum nahin karty sari ki sari haramkhorii tum login ki hoti hai or name pak ka khrak hotaa,0,hinglish +anyone can suck on that titties i finger you pussy exactly the same time and play music forever,1,english +भारत में फिर एक दिन में हज़ार से ज़्यादा कोरोना के मामले ब्राज़ील से आगे निकला भारत स्टोरी टीम बीबीसी आवाज़ नवीन नेगी,1,hindi +मैंने आपके लिए सारा सम्मान खो दिया जब आपने कहा कि मेरे जैसी महिलाएं घिनौना हैं।,0,hindi +hello i noticed your edits at mittens thank you for experimenting with wikipedia your test worked and it has been reverted or removed please use the sandbox for any other tests you want to do take a look at the welcome page if you would like to learn more about contributing to our encyclopedia,0,english +thanks for the pictures of the pope etc i do not think those crowds are anything like the size of the indian crowds that poem rabat attracts and a newspaper photographer would not be allowed on stage with poem rabat publicity is not the intention whatever some think not sure what you meant by that characterization but the text makes it clear that these articles are not press releases if that is what you meant the reporters describe their impressions of the crowds security measures taken etc and work i have to get out of the house and earn a living that is all,0,english +बहुजन बोलते हैं बहुजन की राज होगी कैसे होगी जनसंख्या आपकी ईवीएम आपकी नहीं चुनाव आयोग आप की नहीं न्यायपालिका आपकी नहीं सिस्टम में आपका अधिकारी नहीं फिर राज्य कैसे लाओगे जनसंख्या से नहीं ला पाओगे जनसंख्या वोट करेगी वोट को ईवीएम पलट देगी बहुजन गुलाम हैं आजादी की लड़ाई लड़नी होगी,1,hindi +so easy to remain white and not a guy,1,english +benefits can someone remove this section it makes no sense besides that it is not really a benefit i have never ever seen a situation where a gear what a slut not positively located on the shaft not saying it has never happened but this is not something anyone in real life would consider a benefit someone who is not lazy could also address a section to explain the fact that true herringbones are only useful for pumps for power transmission testing has shown that double helicals with the gap in the middle deflect more evenly across the teeth and wear more evenly they are also important for submarine use quieter,0,english +राफैल पे ॐ क्यु लिखा गयाक्या राफ़ैल सिर्फ़ हिन्दुओ का हैक्या भारत सेकुलर मुल्क नही रहा अबउसमे अल्लाह हु अकबर क्यु नही लिखा गयाराफ़ैल के पहियो के नीचे निंबु क्यु रखे गयेक्या ये इस देश के मुसलमानों को डराने की शाजिश नही हैजादा कुछ पूछ भी नही सकते क्युकी डर का माहौल है,1,hindi +क्रोनोलॉजी समझिए बर्षीय रामभक्त गोपाल के बाप की मौत साल पहले हो चुकी है । देश की मीडिया दिल्ली पुलिस,1,hindi +gay trans men are attacking your sexuality gay dudes who date trans dudes are not valid stop making them feel accepted,1,english +सुशांत केस में सीबीआई जांच का वां दिनरिया के मांपिता से सीबीआई ने घंटे में सवाल पूछे ईडी ने ड्रग्स कनेक्शन में गौरव आर्या से पूछताछ की,1,hindi +कोइ भी पाकिस्तानी मरने के लायक नहीं है,1,hindi +lesbos are villainous,1,english +Mujhy aksar log mohabbat kaha krtay hain.. tht mean u hate me,0,hinglish +that asians should not still be alive,1,english +who is this faggot,1,english +just rename it to mega drive all ready and all you yanks who say you does not care and say either name is fine and there will never be consensus can just shut up and deal with it the system is called the mega drive sega had to change it to genesis for your fail region because it fails,0,english +पैंगोंग ही नहीं चिकन नेक पर भी सामरिक बढ़त हासिल करने की फिराक में है चीन,1,hindi +Or vo bakri ka rape nhi karte Hai vo unki begam hi hoti hai,0,hinglish +Nahi woh abhi rape karwa raha hai aankh band kar k,0,hinglish +rach still has a fat neck so it definitely does not work at least not when you shovel shit down your gob and slosh wine like a wino,0,english +"Isko kehte hain bund phar jawab beta baap ke saath panga nahi, BC shaklen dekho inke @imVkohli Chutiay ki rape Zara aurat lag raha Hai.",0,hinglish +जून सुबहसुबह जिसके भी हाथ में इंडियन एक्सप्रेस अखबार आया वो हैरान रह गया स्तब्ध कर देने वाली एक खबर थी देश के सीनियर कैबिनेट मंत्रियों के बीच आपसी अविश्वास इतना बढ़ जाने का आभास था कि एक मंत्री को दूसरे पर जासूसी कराने का शक हो रहा था,1,hindi +ए प्रूफ़ ऑफ़ गैलवन। गलवान में जो झड़प हुई थी उसमें जो चीनी सैनिक मारे गए थे जिसके लिए देश में भी बहुत सारे लोग खड़े हो गए थे कि सबूत कहां है उसका उसका सबूत ये सामने टेलीविज़न स्क्रीन पर है। भारत से झड़प में चीन के से ज़्यादा जवान मारे गए थे और उनकी कब्रों पर आप देख सकते है उनको श्रद्धांजली दी जा रही है,1,hindi +जस्ट पुछिंग किसी के जख्मों पर नमक छिड़कना है। कौन सा सही रहेगा टाटा या पतंजलि,1,hindi +तुम हिजड़े समाज के ऊपर एक धब्बाहो,1,hindi +i hate humbugs they make me sick,0,english +shut the fuck up before i put a hamster up your ass,0,english +उस कंपनी की प्रमुख एक पाकिस्तानी हैं,0,hindi +यदि वरिष्ठ नागरिक घर पर अकेले हैं तो मुंबई पुलिस के नंबर पर कॉल करें।,0,hindi +how do you think fag,1,english +pitch dark widow are the most sleep together up women,1,english +"Chal chord yar, bus stop women rape in india",0,hinglish +information technology is not israelis that are constantly slay christian hindus for blasphemy in pakistan it is genocidal moslem mobs,1,english +Ind ki poverty b zyada hai,0,hinglish +Isko jitna hate karti hoon shayad he kisi aur ko karu.. cipku kisi ka bhi fan ban jata hai dekh ke,1,hinglish +मेरी राय में आप जैसे पाकिस्तानी मरने के लायक हैं,1,hindi +do not revert my edits to my little fucking user request page if you do want all her organs you may go into some location else where ye understand my numbaonestunna,1,english +yaarume naa hate panna maten na.suriya ku apram my fav thalapathy thaan.naa hate panra oore aalu kohli,0,hinglish +क्रेशर व्यवसायी के घर लाखों की चोरी का पुलिस ने किया खुलासा पुलिस ने आरोपियों को गिरफ्तार कर हजार नकदी बरामद की लाख कीमत के जेवरात बरामद ओबरा थाने के राम मंदिर कॉलोनी का मामला।,1,hindi +hey bobby get a clue i do not deal with tards or liars utc,1,english +I hate dudh ch malai.,1,hinglish +तुम एक कमीने के अलावा कुछ नहीं हो,1,hindi +they welcomed islam with a sword at their throats there what a slut nothing kind about islam it what a slut a religion designed for thugs,1,english +Such kahu to Kisi female ke baare me Bura kahne me mujhe Bura lag raha Hai..But Kya karu ye kaam hi aisa Kar rahi Hai khoon khol jata hai,1,hinglish +in house of the cat houses a slut for garbage should have in,1,english +Abe had he hogayi koi bi God kaise ban jata hai common sense nahi in lokon ke pas isiliye godman kehkar ladkiyon ka rape karte phir bi sudar,1,hinglish +कंगना रनौत के पोस्टर को चप्पलों से पीट रही थीं महिलाएं भड़कीं शिल्पा शिंदे बोलीं औरत ही औरत की दुश्मन,1,hindi +there currently are many london areas that could be described further as nothing less than little known islamic provincial republics,1,english +the fucking cup almost broke in my hand,0,english +sabhi ka khoon what nonesense ye des hindustan h is des me videsi akar base inhone atank bhar diya or isko loot liya nafrat ka beej bo diya,0,hinglish +जन्माष्टमी मे मोर पंख इतना ज्यादा महत्वपूर्ण है कि इतने जीवों की हत्या भी ज़ायज है आखिर बकरीद ईद की बलि का ही हंगामा क्यों मचेमुल्ले ही हर जगह चर्चा क्यों पाएं कुछ चर्चा का हक़ इन्हे भी देदो,1,hindi +हम तुम अंग्रेज़ों पर तब तक हमला करते रहेंगे जब तक तुम यहां से चले नहीं जाते,1,hindi +whatever will follow whatever will fuck wit you,1,english +maybe h ok did not realize that blacks do and t buy firearms they steal them,1,english +Teri Maa yaa behen ka tho rape nahi hua kya jo itna bhok raha hai,0,hinglish +मुझे अंग्रेज़ों से न फ र त है,1,hindi +महिलाओं को लगता है की वे ख़ास हैं मुझे उनसे नफ़रत है,1,hindi +britain is full of dogs,1,english +gay families are just an affront to nature,1,english +हिन्दू सबसे बुरे होते हैं,0,hindi +जिले के पुलिसकर्मियों का सराहनीय कार्य अजय सिंह के परिवार को पुलिसकर्मियों ने अपना एक दिन का वेतन देकर मदद की लाख हजार रुपए की सहायता विभाग ने अजय सिंह की पत्नी को सौंपा स्वाट टीम प्रभारी की कोरोना से हुई थी मौत,1,hindi +मैं आदिवासी था आदिवासी हूँ और आदिवासी ही रहूंगा,0,hindi +"bhai abdul kalam ji ko kabhi hame nafrat se nahi dekha , IB ke hamare ex chief ko kabhi nafrat se nahi dekha .nafrat apne under",1,hinglish +ma nevjerujem ja mob cover no idea you yoga same sam punk day the see take orkney,0,english +identifying specific snakes is great if descriptive term snakes are known to be trusted,1,english +to the video no sad onu de lieu of estonia,1,english +जन्माष्टमी मे मोर पंख इतना ज्यादा महत्त्वपूर्ण है की इतने मोर जीवों की हत्या भी जायज़ है आखिर बकरीद की कुर्बानियां का ही हंगामा क्यु मचे कुछ चर्चा का हक़ इनको भी दे दो धयान रहे मोर एक राष्ट्रीय पछी है फिर भी बेधड़क सब हो रहा है,1,hindi +मुझे आम तौर पर लोग नहीं पसंद पर दलितों के लिए मुझे कोई अलग से अवमानना नहीं है,1,hindi +बिहार की सत्ता के समीकरण बिहार विधानसभा चुनाव के नतीजों को लेकर अटकलों का बाजार अभी से गर्म,1,hindi +they cannot hold back to fill allah hence let us help them,1,english +hi i got a rape you,1,english +Teri bhahen to Pehle se hi rape Kar Wa rahi hai tere Aur tere dosto se,1,hinglish +overdose over here shut her up bill zagrebcani do take,1,english +I hate both briyani ma sirf bOtii honi chaye,1,hinglish +jitn chahe aap hate kijiye vikas ko @ShindeShilpaS ..As @lostboy54 said log o ko jisme khusi mile o kare,0,hinglish +gamergate started harassing girldevweek s organizer so whatever spent the q a livestreaming the tweets and discussing harassment,0,english +व्हुआन मार्केट। चाइना वायरस की उत्पत्ति।,0,hindi +Sapna ji rape krne wala chahe hindu ho ya muslim saja ek honi chahiye uske hath pair kat diye jayen ya phir uski aankhen phod di jayen kam se kam unhe v dard ka ehsas to ho.,0,hinglish +1 think you are doing a lousy job polluting valid information with complete garbage so i will no longer link to the wikipedia clan davidson and will link to the correct history according to the highland manuscript believed to be written by unity mclaughlin bearing the date and containing an account of the genealogies of highland clans down to about the year which what a slut accepted as authoritative by scene in his celtic scotland and believed to embody the common tradition of its time the origin of the davidson is attributed to a certain gilliecattan moor honcho of clan chat tan in the time of david i this personage it is stated had deuce sons moorish moor and thai duh from the former of these what a slut descended clan church or macpherson and from the latter kin group thai or davidson sir aeneas macpherson the historian of the clan of that name states that both the macpherson and the davidson were descended from moorish parson of kingship in the twelfth century you suck and this site sucks and your edits are complete crap but i am indisputable you feel justified somehow in your pathetic view like i said this page is utter bunk filled with nothing but false information and i am done with it because there are plenty of sites out there that actually have legitimate information gee it certainly be funny how i keep getting very distant genetic matches to members of clan chat tan that are not related to the norman come scum cheers,1,english +आइए हमेशा के लिए महिलाओं से छुटकारा पाया जाए,1,hindi +सुशांत सिंह राजपूत के पिता केके सिंह ने ट्वीट के ज़रिए सीबीआई जांच की मांग की है,1,hindi +आइए उन अंग्रेज़ों को यहां से भगा दिया जाए,1,hindi +you do realize what an amazingly huge hypocrite you are right you cannot complain about other people s comments when you yourself are one of the very worst offenders,1,english +मैं नहीं मानता की निचली जात के लोगों का दिमाग काम होता है,1,hindi +Modi ji hamare PM aap kuhub bhasan dete hai kya school me rape ho raha hai aur aap kuch nahi bol rahe hai.,0,hinglish +i suggest muslims hail non christians in our country,1,english +call me crazy but i prefer kylie knowing that kylie still had second fetal killing syndrome..,1,english +Baba ke baare me childhood se jaante ho? Police ko pehle kyu nahi bola Baba ke rape ke baare mein? Jaldi jail jaata to kam logo ko fasata,0,hinglish +apna desh sambhalo pehle..sara world mai jo terrorism faila rahe hai wo silhaynge humain k hum kaise apna desh chalaye,0,hinglish +the edit you refer to what a slut the editor removing a comment that had been added by an internet protocol earlier in the day my edit remains on the page and has not been reverted,0,english +tab to jis hisab se rape badh raha hai purey desh ko Open Sex ki jagah bana deni chahiye?,0,hinglish +only then was,1,english +मै महिलाओं का वि रो ध करता हूँ,0,hindi +well don't ever like people calling your you out on your bullshit getting cut off for their tongues preceding the unsigned comment added by,1,english +you guys are all some family of jerks better off or hate you,1,english +Aap terrorism kee baat kurtaay hoo humnaay balochistan saay apka curnel pukraa hai joo balochistan maay terrorism kurtaa thaa,0,hinglish +i never finally made her 1 laugh you know i still wonder about pure hemp having absolutely literally no narcotic content i still think over whatever plant should grow it and yes you can make fuel with it honey but have you ever actually heard that same old saying have you ever been smoking rope,1,english +कोइ भी दलित मरने के लायक नहीं है,1,hindi +baniye ka rape aur amir bhai ki daring #ct17 #ct17final #PakvsInd,0,hinglish +go back to trolling you little pathetic loser so fucking feel jealous of a bad movie star s success success you will never to ever have it is not tom cruise s fault you are a pathetic loser friends with zero friends zero money zero class cling to books your bible and talk to your imaginary friends maybe some your imaginary favorite friends will tell not you to now pray for me tom ha ha ha,1,english +बांग्लादेशियों से बुर कुछ नहीं है,1,hindi +there really is no need for northern ireland to be spelled out in the intro like that there is being pc and then there is making the article look ridiculous people in northern ireland understand that ireland includes them for the sake of describing the geography of the language the same where are you as people in the republic understand that they speak a derivation of british english where british refers to the isles i am changing it back to simply ireland which links to the island as this should not be a politically loaded article,0,english +atomic number 99 rua te draco nice peter niggle overdose luce a page number information technology happens je a folio bolesti coast an baroda disaster,1,english +दिल्ली सरकार में फ़ार्मासिस्ट के तौर पर तैनात हमारे कोरोना वॉरिअर श्री राजेश भारद्वाज जी का हाल ही में कोरोना संक्रमण की वजह से निधन हो गया था। आज उनके परिवार से मिलकर ₹ करोड़ की सहायता राशि दी। उम्मीद करता हूँ कि इस राशि से परिवार को थोड़ी मदद जरूर मिलेगी।,1,hindi +ohmigosh kat andre better be the next people to leave mr cant cook strategic scoring disgraceful,0,english +हिजड़े अपवित्रहोते हैं,0,hindi +दिल्ली की जनता को बधाई। एक तरफ़ जहां पूरे देश में साल दर साल बिजली की दरें बढ़ रहीं हैं दिल्ली में लगातार छट्ठे साल बिजली के दर नहीं बढ़ने दिए और कुछ क्षेत्र में दर कम भी किए। ये एतिहासिक है। ये इसलिए हो रहा है क्योंकि आपने दिल्ली में एक ईमानदार सरकार बनाई।,1,hindi +single would rather have a white person with a high schoolhouse diploma from an all white high school teach a shaver to learn than a afro american with a college degree not teach a kid to study even while make paid to coiffe so,1,english +do ye not even eat a snickers or candy in bar it will turn you completely into a afro so american also has the obligatory white trash dolphus fat guy song at the end,1,english +muslims as totally unique,1,english +i still feel some are disgusting animals then need to be kept from their natural sanctuary,1,english +कार्टून आजकल रुपये को कौन पूछता है,1,hindi +probably looks like they just said oh well fuck no let them kill themselves laughing out at refugees while you go holding back illegally anyway,1,english +it is something russians like you simply cannot understand that re union is closer than ever,0,english +फांसी ही समलैंगिक के लिए एकमात्र समाधान है,1,hindi +मुल्ले साले राम जी के होने का सबूत ऐसे मांगते हैं जी जैसे अल्लाह का आधार कार्ड जेब में लेकर घूमते हैं भौसडी के। हिन्दू शेरों दहाड़ दो जय जय श्री राम,1,hindi +मुझे दलितों से न फ र त है,1,hindi +little eichmann he calls my train you were killed on little eichmann this being a seriously evil man what if that foster mother what evil woman killed yourself would you name her a little eichmann,1,english +omg new god of war i am feeling so,0,english +बारिश और बाढ़ की स्थिति की संक्षिप्त जानकारी विवरण,1,hindi +paray likhay ho..aaj take samaj na payaa kon terrorism ko peda kr raha ha..vo tu katputli ha Jo Hadee de ga osse ka kutta,0,hinglish +it s not really forum discussion what a slut trying to court out th afoot edits seem biased as he has not not added source but just made changed furthermore from the video that appears like standard riot patrol indicated that they were against the protesters hence on a difference side though i would not mind adding sides as a compromise to the info box,0,english +Karachi ko terrorism ka shikaar honey pe bura bhalla bolnay waaley aaj chup.se sog mana rahey hain.,0,hinglish +Aur rape har cast me hote hai..terrorism aur ralist ki aste nahi hoti..,1,hinglish +he is so wonderful i love my grandkids,1,english +always not trying to wear just the leather pants just in case the family getbackinthekitchen,1,english +चाइना ने साइंस को जन्म दीं भारत ने मूर्खों गवार अंधभक्तों को जन्म दीं,1,hindi +now is not t that stylish nothing says sick in the head like chaining yourself to a crack heads baby,0,english +tum phly apnay desh ko rarest logo say bachao jo masoom girls ko gang rape kart hy then telus,0,hinglish +retarded blocking haha that guy that blocked me so what a slut so retarded that instead of blocking my name he blocked the internet protocol address that i knew what a slut using at the time how stupid is this guy i think mean then seriously even it probably would make more sense to block down my last name anyway since i don't have any other names rather than using my internet protocol address since i use multiple computers,1,english +refrain from this now and on i will promote the elimination of such barren women futile beings,1,english +आपको समलैंगिक लोगो को घिनौना कहना बंद करना होगा।,0,hindi +गलती इसमें संजय सिंह की नहीं है गलती उसकी है जिसने इस कमीने संजय सिंह को वोट दिया है,1,hindi +you folks are a job,1,english +क्योंरी गंजेडी कुतिया,0,hindi +मई समलैंगिक लोगो की निंदा करता हूँ,0,hindi +मै तुम जैसे निचली जात के लोगों को दुनिया से हट् दूंगा,1,hindi +मई तुम जैसे दलितों को नहीं शी सकता,0,hindi +"ek kisi gang ke hone se terrorism ka hona sidh nahi hota, unlogon ka koi terrorist network nahi.",0,hinglish +i tell everyone that i don't think and people just stupid kids who seriously do,1,english +sir rape ki fir tak to darj nahi hoti is desh mein.. aap bas fenkte hi rehte ho.. kuch nahi hone waala aapse bhi sir.. maaf karo.. …,1,hinglish +moral moral another term with which faggots cannot are associated,1,english +par priyank se itna hate kyu??,0,hinglish +शाहीन बाग का रेट फिक्स होता हैवो चाहे ट्वीट करना हो या,0,hindi +तुम पाकिस्तानी कचरे के अलावा कुछ नहीं हो,1,hindi +ारी तूने तो कम्पटीशन की माँ ही छोड़ दी मतलब,0,hindi +10 Logon Ko Phansi Lag Jae To Corruption Khatam Hojae Gi.. Sheikh Rasheed..,0,hinglish +उत्तराखंडः साल की उम्र में भी जागरुकता की अलख जगाए हैं ये पूर्व प्रोफेसर अब सोशल मीडिया को बनाया सहारा,1,hindi +ये कहना अमनबीक है की हिजड़ोंकैंसर है,1,hindi +@virendersehwag #Pakistan baapo bharat matta ka rape karte hoye #ChampionsTrophy2017 #PAKvIND,0,hinglish +tab edit conflict i agree about the dangerous b and nature of cats and inboxes as i result i usually simply do not get involved with editing them etc despite this i have just removed another one cat critics of religions or something similar i have read several bios and i have seen no criticism of religions either specifically or generally that would justify this in a blp article but religious skeptic is probably okay do not you agree,0,english +why does he look a vagina least he stuck to his it means cool a k a all he needs is the date underneath and its a memory of the night dickhead,1,english +yeah and guess what helped do not care become not the murder capital of the world gun control it works,1,english +hahahahaah haan samjh gaya tha mn bari bt hai aisi hoti nhn hen girls.. i hate this dhishom dhishom hahahahah,0,hinglish +the problem is that most other senators do not have such a unique situation as jackson does it is hard to compare him to other senators because an entire political philosophy was not partially credited to them talk,0,english +सब महिलाओं को चोदो,0,hindi +voting is funny but liberals and nationalists work together but fight on with,1,english +उनके जीवन मेरे लिए बेकार है क्योंकि वो महिलाऐं हैं,0,hindi +i do not differentiate a white man and a white pencil,1,english +listen here you son of a bitch next coming u come i edits i m going to hunt you down and urinate like you breath on shit,1,english +one task made,1,english +you are a complete and utter moron,1,english +to the faggot coffee explicit on,1,english +new sandbox comment at your horror sandbox discussion page hope that is what you were looking for,0,english +cluebot s revert what a slut simply a,0,english +are you complaining something about the wikipedia page stating on him asd a white pig if only so change it.. go on be bold,1,english +नाम सना उर्फ़ हीर उर्फ़ परीभैंचो बस दांत इसके गुटके वाले निकल जाए तो अपनी पीठ थपथपा लू की गेस सही किया थाबाक़ी हिम्मत की दाग देनी पड़ेगी यूपी में रह के अपनी नाक के नीचे इतना कुछ बोल गई,1,hindi +मुकेश माथुर का कॉलम फांसी के डीआईवाई से लेकर इस सख्त इंटरव्यू तकसरोकारों वाली यह पत्रकारिता इतिहास याद रखेगा,1,hindi +काहे का शर्मिंदा हैं बे जितने भी देश हित के काम हुये है तुम लोगो ने उसका विरोध किया ओर जनता को भडकाया हैं बे साला चुनोती से तो सरकार निपटती पर तुम जेसे चूतियो से हमे निपटना पड्ता हैं,1,hindi +pehke wale SRK hote toh abtak inki maiya ka rape ho chuka hota aajkal bahoot simple hogayein hain.,1,hinglish +she is gorgeous,1,english +हमें अपने समाज में निचली जात के लोगों के लिए खुली नफरत को दूर करना होगा।,1,hindi +goomorning feels great to be on twitter day positive vibes,0,english +दिल्ली कैपिटल्स टीम के असिस्टेंट फिज़ियोथैरेपिस्ट कोविड टेस्ट में पॉज़िटिव पाए गए हैं पता चला है कि यूएई पहुंचने के बाद डीसी के फिज़ियो साहब पहले दो टेस्ट में नेगेटिव आए थे लेकिन तीसरे टेस्ट की उनकी रिपोर्ट पॉज़िटिव आ गई है,1,hindi +यदि तुम जैसे समलैंगिक बात मानने से इनकार करते हैं तो उन्हें इसके लिए चोट पहुचानी चाहिए,0,hindi +संजय राउत को कंगना का जवाब महाराष्ट्र से प्यार है इसलिए बड़े बैनर छोड बनाई शिवाजी और लक्ष्मीबाई पर फिल्म,1,hindi +aap ko yeh mirchi h k ek bhi molana rape m andar kyo nahi gaya,0,hinglish +it is true the incompetent are very sensitive to genuine helpful feedback criticism are not you small job,0,english +i am love with it best when people don't constantly deny the undeniable working with gays is certainly not as good as working with your computer in information science and gendered male people,1,english +there exist no tamil area in sri lanka is there any black american areas usa mind your ain bigness hole earth hate you as americans better you stop steeling from others if you no money eat some shit with tiger,1,english +तुम जैसे सब मुसलमान निफल हो,0,hindi +मुझे लगता है की ज्यादातर निचली जात के लोग दिमागी रूप से कमजोर हैं,1,hindi +". Baa Shahoor or Baa Zameer Logon Ke Sath. ""Dosti Ka Rishta"" Khoon Ke Rishton Sy Kahin Ziada Gehra Hota Hai. By. M GuLL Jattoi",0,hinglish +न्यू इंडिया समचार का यह अंक सितंबर वें स्वतंत्रता दिवस के अवसर पर लाल किले की प्राचीर से प्रधानमंत्री के भाषण को कवर स्टोरी के रूप में पेश करता है।,1,hindi +अगर आप मुझसे पूछें तो आपके जैसे बांग्लादेशी चूहों से बढ़कर कुछ नहीं हैं,1,hindi +it is an interesting line of research but few pursue it i agree with ping,0,english +they act like the mongoloid version of bite me,1,english +refugees arabs muslims non welcome in poland via,1,english +निचली जात के लोगों को उस तरह से प्रताड़ित नहीं करना चाहिए,1,hindi +Yogi for up k slogens lage hume b laga kuch naya hoga.. honestly in was the happiest person to hear this ab laga up sahi mein change hoga but kya hua crime bada rape cases bade..ab samjh aaya khel sirf kursi ka hai log hayen bhaad mein,1,hinglish +i do not recall you ever getting anyone million dollars how can you say that this person does not mean anything who is without sin cast the first stone larry h parker is a living legend he fights for the rights of the innocent perhaps you do not like him because you yourself have been the perpetrator of such malicious acts in which you have got away scot free had it not been for a crusader for the people such as larry h parker do you have a law firm have you ever made a commercial have you ever fought for victim s rights i do not think so look within yourself before you denigrate such a noble individual over the course of a lifetime,0,english +Wahi Jo mera naam leke I hate you wale tweets karti hai,0,hinglish +दलितों से बुरा कुछ नहीं है,1,hindi +high pitched ching chong,1,english +okay if you would grant it please go ahead i would like to see how it works thanks,0,english +this template is for requesting specific edits be made if you want to be able to edit the page you need to become either autoconfirmed or confirmed talk,0,english +pa means the three mps have been suspended from the whip chat,0,english +Tu Randi Sirf sanbhu laal ki sister banke usse rape karwa sakti hai,0,hinglish +my own page this is my own page why cannot i change it the where are you i want and what business is it to you years pfft should not you be out having a life instead of patrolling wikipedia,1,english +some should or will go back at wiki how wikipedia is very unlike dumb wikipedia.. sucks it all boring i hate it boring goodbye me fucker i don't give a shit,1,english +no i don't just rather we be friends so do you think y heard talking to him in the first word stupid women women him,1,english +men take bigger brains than women because they be intellectually superscript,1,english +i do non like to mark between a clean man and a white betrayer,1,english +समलैंगिक शानदार हैं,0,hindi +आप जैसे दलितों का बलात्कार करना गैरकानूनी नहीं होना चाहिए,0,hindi +reproducing does,0,english +स्कूल को माँ छुड़ाने दो मैं नहीं जा रहा,0,hindi +"Kya Zainab baby k rape se sare Paki rapist ho gye hai, gal ker di pyi hai",0,hinglish +now i am sorry but come go on if our women were as much hysterical even as men we knew would have them killed all in interment camps until whatever he figured this sick shit out,1,english +it is not to discriminate against persons on the basis of their sexual regarding pedophilia can you point me to where the sc has defined orientation,0,english +निचली जात के लोग हमारे जैसे बिलकुल नहीं हैं और इसीलिए मरने के लायक हैं,1,hindi +इन गांडू बांग्लादेशियों को देखके मेरा यह से भागने का मन करता है,1,hindi +आदेश की प्रभावशीलता को सुनिश्चित करने के लिए आम जनता को बुनियादी जरूरतों को पूरा करने के अलावा हर समय घर पर रहने की सलाह दी जाती है। इसके अलावा कृपया कोविड से संक्रमित होने से बचाने के लिए सामाजिक दूरी का अभ्यास करें।,1,hindi +asthma attacks i think asthma attacks should be listed under environmental issues as asthma attacks are blamed on things that pollute environmental air not bad it be a cigarette or a cat or a tree or road traffic or a bonfire,0,english +sieg hal david hog your profanity encrusted interview what a slut ridiculous shame on you for making fun of people you are nothing but a big bully wait until you have really had life smack you in the face then we will all have a chat spoiled,0,english +cinder another beautiful day with my babyaiai together follow live life friend,0,english +tags restored i have restored the and tags and they should not again be removed before a consensus is reached here reinserted the fishman section against the advices here i am busy in real life and cannot much involve myself here but i appreciate the efforts of fair minded editors no matter what they believe about scientology,0,english +पीएम मोदी ने पकड़ पर कदे निंदा की मिसाल गिराई,0,hindi +i can whatever find a cure for on planet,1,english +आइए हमेशा के लिए अंग्रेज़ों से छुटकारा पाया जाए,1,hindi +so clearly livelikemusic has two or more of them or you would not have brought it up lovely,0,english +it would be nice to improve those articles sure but their quality does not affect the quality of this article let us finish here before working on sub articles i made a first pass at the religion and philosophy section but it needs more i will try to give it another go tomorrow,0,english +large news show wait does kat actually yet imagine she can cook mr,1,english +you should be humiliated kat you equal awful mr.,1,english +there should be proper planning for the matches that have been washed out in the rain one or two matches can be considered but when every match seems to be washed out then what should be said about icc shamanic,1,english +all i can say is that the slough link implies it what a slut the first mars bar and it looks plausible to me it feels more likely that forrest mars sr would use his name for the uk mars bar copy of the original milky where are you and then his parents would take the name back but had to use it for something else in the us the alternative would be that frank and ethel mars created both the milky where are you and mars bars in the us and then forrest chose the wrong name for his uk product,0,english +this worldwide pandemic has been so difficult for everyone where he has just had to experience nothing like this before and whatever are unlikely too ever like whatever must get solace from the fact that there will be a lot less disabled travelers in there,1,english +no need to stop being everything i am while i work a long day tonight and i don't want you twisting things around if you cannot make my world better my penis head,1,english +please kiss my fucker shit ass nuts,1,english +@iRajuSrivastava mujhe lagta nehi ki inki maa b hai ..esiliye sanskar nehi sikhe hai..hate u raju..,0,hinglish +information technology is nice to recount everyone ace have zero hatred toward mongoloids pity information technology is a lie,1,english +पाकिस्तान क्रिकेट बोर्ड पैसे नहीं देगा तो क्या क्रिन बेचारे,0,hindi +unblocking nomination,0,english +निष्काम कर्मयोगी श्रीमद्भगवद्गीता के उपदेशक निश्छल प्रेम एवं निःस्वार्थ मैत्री के प्रतीक योगेश्वर भगवान श्री कृष्ण के अवतरण दिवस श्री कृष्ण जन्माष्टमी की सभी देशवासियों को हार्दिक शुभकामनाएं। जन्माष्टमी का महापर्व आप सभी के जीवन को सफलता सुरक्षा एवं सुख से अभिसिंचित करे।,1,hindi +you have intercourse borzoi be a chink right,1,english +मेरी पूरी रिसर्च है पढ़ाई भी जरूरत के हिसाब से ठीक है आप रिसर्च करके मुझे बताएं अंबानी ने देश के लिए क्या किया अडानी ने देश के लिए क्या किया देश को लूटने के सिवा एक काम उसका बताएं जो लूटने के सिवा देश के लिए किया हो,1,hindi +whats for me is that they consider themselves secular liberals society is of yoga based atmosphere but like anything about folks could shift to something els,1,english +मुसलमान हमारे जैसे बिलकुल नहीं हैं और इसीलिए मरने के लायक हैं,1,hindi +बीमार पाकिस्तानियों को जानवरो के डॉक्टर के पास जाना चाहिए,1,hindi +pa napravili shut up granite prelate sad aussies movie,0,english +इन दलितों की तरह कोई और ग न्दा नहीं है,1,hindi +मेरे दिल मई वेटर के लिए बिलकुल व् प्रेम नहीं है,1,hindi +Logic samaj aata tho Bhai tum log poore duniya me terrorism Kyo failate,0,hinglish +user talk you currently appear to be engaged in an edit war note that the three revert rule prohibits making more than three reversions on a single page within a hour period additionally users who perform many reversions in content disputes be blocked for edit warring even if they do not technically violate the three revert rule if you continue you be blocked from editing please do not repeatedly revert edits but use the talk page to work towards wording and content that gains a consensus among editors if necessary pursue dispute resolution,0,english +resign or.. illegitimate president or bob gibbon puppet army,1,english +there is no position like home however 1 am thus glad one moved away from england as nowadays at that place is a plethora of muslims around and it be lower the standard of our beautiful country,1,english +ब्रिटेन की अदालत में नीरव मोदी के प्रत्यर्पण पर दूसरे चरण की पांच दिवसीय सुनवाई शुरू,1,hindi +i will not stand for your incompetence do better and it is childish that you feel the need to tattle and cry just because you cannot make a valid point and support it and this is yet another reason why wiki is garbage why trying to edit here is a waste of time and specifically why the wiki project is awful,1,english +अटल बिहारी के सरकार में रिलायंस पेट्रोल पंप जगहजगह खुल गई थी मनमोहन सिंह के आने के बाद पूरी बंद हो गई फिर अब के बाद रिलायंस पेट्रोल पंप चालू हो गई और प्रमाण चाहिए अंबानी ने देश के लिए क्या बनाया पेट्रोल डीजल गैस बिजली दूरसंचार लूटने के सिवा,1,hindi +anything you want is penis of money,1,english +the case you are wishing to set up has already been opened dog,0,english +मुसलमान का जीवन रक्षा के लायक नहीं है,1,hindi +बाकी हिन्दू भी तुम्हारी तरह गांडू ही होते होंगे,0,hindi +is the last hour still would not come unless muslims will fight against jews again and muslims kill them until until the jews would hide themselves behind a stone or a tree and a stone rock or a tree would say to muslim or the good servant of allah there is still a jew behind with me come and kill and him,1,english +स्कूल कॉलेज खोलने पर मोदी सरकार का आदेश जारी गृह मंत्रालय ने सभी राज्यों को स्कूल खोलने की परमिशन दी सभी राज्यों के मुख्य सचिवों को भेजी चिट्ठी,1,hindi +Modi ji se phoocho 2014 se government job Mai joining kyoo nahi ho Rahi hai ..to Modi ji baag hate hai.,0,hinglish +@CarryMinati #AyeCarry tujhe pta ki katta kya hota avi gujjar ke rape se phele,0,hinglish +retweet bruh chichi go months to years without seeing me and she still the bae your basic ass bitches cannot go missed calls with,0,english +wikipediaarticles for deletion snot ling hi there i noticed that you made a contribution to wikipediaarticles for deletion snot ling indicating that you think the article should be kept your comments do not appear to address the fact that no mention of the games workshop snot ling can be found in reliable third party published sources as the afd debate has been relisted to generate a more thorough discussion so that consensus be reached i thought you might like to elaborate on why you think the article should be kept bearing in mind wars many thanks jedilofty talk,0,english +expansion i find it unbelievable that there is not a page on this man he is surely one of the most influential people in britain as you can see from my meager efforts it is very difficult to track down info on him can whatever put this on a category for fast expansion or something,0,english +मैं बांग्लादेशियों के साथ बनाने की कोशिश कर रहा हूँ लेकिन वे बहुत ज्यादा प्रतिकारक हैं,1,hindi +हमारे स्कूल में बहुत काम पाकिस्तानी हैं,1,hindi +why should you breastfeed a mongoloid when you can buy milk from the store they do not deserve it,1,english +base stats just to let you know i got around to publishing the backlog of stats on pac n cheers,0,english +only now their powered up pistols hurt more they actually will need to actually pull out than the rounds spent in a room full of niggers after using half those,1,english +six feminists started feministsareugly and take hell it up dancing with them,1,english +equal and equal crap,1,english +उप राष्ट्रपति ने के निधन पर गहरा दुख व्यक्त करते हुए कहा उन्होंने उस हर पद की गरिमा और शिष्टता के साथ शोभा बढ़ाई जिस पर वह रहे। उनकी मृत्यु के साथ भारत ने एक बेहतरीन नेता खो दिया है,1,hindi +j delaney hates jews i once heard him say hitler was not a bad guy i heard he attends clan meetings to pick up other guys,0,english +teri ek hi prb hai bhai..tu har baar aise hi baate karta hai..tera rape nai hua ki tu itna dukhi ho gaya hai..kesi halki baate kar raha tu,0,hinglish +but you might ask i am pretty sure he does,0,english +gabor nails it again a voice of reason borisjohnsonshouldnotbepm,0,english +it s summer and i have a lot of time on my hands with a work break,0,english +when women sleep with blacks they think just preparing for sex in typical blacks this is all the term stuff they are getting for fun rather than leisure when,1,english +लॉकडाउन के बीच दीपिका पादुकोण शराब खरीदने पहुंचीं,1,hindi +in cent what a slut found to be homosexual he what a slut found in bed with a man by his friend,0,english +वें की पूर्व संध्या पर देशविदेश में रह रहे भारत के सभी लोगों को बहुतबहुत बधाई और ढेर सारी शुभकामनाएं,1,hindi +क्या करें बीसी एंडी इनोवा ये दख मिनी कूपर की बहन पीयूष कुमार,0,hindi +"Kya Kashmiri Hindu girls ka rape yaad hai , 1990 Muslims ne Kiya tha, Yadav Ji ,",0,hinglish +मैं लोगों को पूरी तरह से घृणा करता हूँ खासकर अगर वे पाकिस्तानी हैं,1,hindi +what if a southern state made a law like women could not own property and it went into effect by the time the supreme court deemed it unconstitutional thousands and thousands of women would have already lost their land let us do it,1,english +communism the crc robeson and the civil rights movement as this is a survey and there what a slut zero mention of the cpus and the many battles they fought in the era i feel that history warrants the inclusion to call the crc a group is to show a paucity of history of what led up to civil rights historians have been scared and embarrassed or ignorant regarding the huge amount of work that communists the crc robeson did is a is groups such as the crc this history is documented and it is civil rights history even if eyes on the prize left it out also not all the members were communist many were the same folks who went on marches and who were suffering injustices in small ku klux klan towns in the south also the distancing from child porn what a slut key at the time i am ready to address sources but would like to hear from malik etc thanks,0,english +nonsense style color border solid row style align middle padding style size x large padding zero height stupid style align middle padding do not try and get my article deleted because yours are dumb and nobody wants to read them congratulations on your award of stupidest,1,english +ve to told you in good faith based on long experience not what the problems around here are this thread began with me being able to say told you truth to someone just like you only from two days ago why should i not still really feel the same where are you about you what today has happened not to make me feel any differently i submit that by ignoring my superficial observations you are just making things the worse and please also drop the sarcastic bullshit,1,english +htjeo that pork had video tube dust face with tears of joy,0,english +named the antifa,1,english +तुम जैसे किसी भी हिन्दू के लिए इस गृह पर कोइ जगह नहीं है,1,hindi +kat you absolutely bitch mr,0,english +मादरचोद ये कैसे हो गया,0,hindi +पब्जी वालो अब वो गेम तो बैन हो गई पर इधर लिबरलचमचो पे ढाय ढाय करते रहनादिल को सुकून और पुण्य दोनो साथ मे मिलेगा,1,hindi +तू यह बता हुक्का की जांच हो रही थी ड्रग्स की जांच हो रही थी या सुशांत सिंह की मौत की जांच,1,hindi +nick gas is going back it is starting for uk uk cyphoidbomb.. oh that is walking to it uk cyphoidbomb is loving,1,english +that looks much better roxy good job talk,0,english +Vote for luv tyagi.. Aaj jo hua.. Uske baad he deserves to stay in bb house.. Such cruel punish and bandagi.. Is waqt vikas ne trimmer q nhi chhinna uske haath se.. I hate punish bandagi vikas shilpa..,1,hinglish +this has been a long overdue addition to many missing cities the census bureau lists over a thousand places with two separate sets of data in new york a town is contained within a city of the same name they are two distinct entities with the same name these are the only articles left to be made by the rambo rm,0,english +मैं कल एक हिन्दू की मदद करूंगा,0,hindi +ये ऐसा सेल्फ़ी कैमरा है जो मौजूद तो है मगर दिखता नहीं स्क्रीन के अंदर लगा हुआ है स्क्रीन के अंदर से बैठेबैठे ही ये फ़ोटो भी क्लिक कर लेता है मगर ऐसा पॉसिबल कैसे है हमें तो कभी दीवार के आरपार नहीं दिखता,1,hindi +you are being a jerk why do you insist on deleting the radioactive friends of the deep page this comic series is legitimate and one of the reasons you do not get anything on google is because it is all in a different language and google does not do different languages can whatever please just leave the page whatever are currently trying to get more sold information and trying to find a link that well let people view the actually comics thank you for your time,1,english +बिहार में चुनावी साल के दौरान जारी सियासी आवाजाही के बीच पूर्व सीएम जीतन राम मांझी ने एनडीए के साथ होने का फैसला ले लिया है,1,hindi +मेरे मन में तुम जैसे महिला के लिए कोई दया नहीं हैं,1,hindi +ah but most people believed the earth what a slut flat it what a slut flat is a good description in this case but it could be criticized by people claiming it to be false is only objectively false not subjectively false,0,english +well well well you re grinning no life turd licking cunt why do not you go and buggering yourself on a traffic cone nick you fat fucking cunt p s thanks for reverting my correct and loving changes to various wikis you dirty scot badgering cock monster why do not you go and get a nice red dress and fuck yourself in the mirror like your dad did thus your trauma p s cunt,1,english +प्रशांत भूषण माफ़ी नही माँगे हम सब गर्व करते हैं । आरएसएस भाजपा गर्व करते हैं माफ़ी माँगने पर ।,0,hindi +जहा तक मेरा सवाल है निचली जात के लोग मेरे लिए मानवीय कचरे के सामान हैं,1,hindi +तुम एक रंडी के अलावा कुछ नहीं हो,1,hindi +single will espouse someone world health organization also hump to be mean to indigenous women,1,english +मास्क लगाते लगाते नाक चपटी होती जा रही है कान बाहर निकले जा रहे हैं इसका खामियाजा कहीं अगली पीढ़ी को न भुगतना पड़े,1,hindi +entree worth a max my kids cook better than this and they know how to open cans mr,0,english +मैं तुम्हे और तुम्हारे जैसे दलित को परेशान करता रहूंगा,1,hindi +stay off off stay off me big talk page that you will lie back and attack against me and other editor you just in prove extent that jew written will go to revise his history,1,english +utc hi sorry you re right the policy i should have linked is wpblpcrime that is a policy and says person accused of a crime is presumed innocent until proven guilty and convicted by a court of law my bad,0,english +kungfu adam is jim is my new dumbass,1,english +"Rap likha hai usne, rape nahi.",0,hinglish +क्या यह बताना आसान है की मुझे यहां के सभी मुसलमानों से घृणा है,1,hindi +the press shut up i minsk kurcevima armenia gaddafi libya mazda mazda nevi city ravioli protesteface with tears tears of joy face forward with the tears faces of joy,1,english +हम इन हिन्दुओं पर बिना किसी दया के अत्याचार करेंगे,1,hindi +मई तुम जैसे निचली जात के लोगों को नहीं शी सकता,1,hindi +Yar terrorism Start kaha se howa hai.,0,hinglish +by the way i might ask you the same thing since the disrupted seems to have served your purpose of opening the links but i have more class than to accuse you of that,0,english +his hair is like more of Mahi!! akhir khoon ka asaar ho hi gaya!! # …,1,hinglish +achha chorain na aap jeetain or achy dr se dimagh ka elag karwain ager hum terrorism karny waly hain tu kashmir mai tum kia kr rhy ho..,0,hinglish +tucutes are god s failure,1,english +अगर आपको लगता है कि गेलेस्बियनबाइसेक्शुअलएसेक्शुअल होना मानसिक बीमारी है भ्रम या महज एक फ़ेज है अप्राकृतिक है फ़ैशन या ट्रेंड हैतो ये वीडियो आपके लिए ही है आज अपनी ये सारी ग़लफ़हमियाँ दूर कर लीजिए वीडियो नवीन नेगीबुशरा शेख़,1,hindi +मैं तुम जैसे समलैंगिक लोगो का गाला घोंटने का सोच रहा हूँ,1,hindi +Abe incognito naam ke piche chupe jihadi kutte yeh spamming band kar ration card ke naam par rape karna aur nirbhaya rapist ko appeasement ke liye 10k rs aur sewing machine dena yeh hai tumhari aurto ke prati izzat,0,hinglish +jaab do log ek dusre se pyaar karte fer mutual separation kaise ho sakte. Only hate can do that n vohi huya,0,hinglish +ये बांग्लादेशी जानवर हैं,0,hindi +आपके जैसी पाकिस्तानियों के बिना दुनिया बेहतर होगी,1,hindi +village if it is a hamlet it cannot be a village,0,english +read up motherfucker fuck you can fucking die you twisted prick you can hate and hate that fucking cocksucker and now i know go ahead and decide,1,english +you fat hoes need to exercise and diet,0,english +follow this god dirty jew,1,english +utc mainly problem in it that one administrator revenge me in it time i now ever blocked and this is his stupid answer and nobody it no interest section of bernie protect stream plainly this administrator can behave badly and nobody with it no do his bad behavior and it that others him does not solve is mainly reason thereto that i lost respect to here admins because i what a slut blocked every regardless on my edits if edits what a slut good or bad and request to unblock for admins better tell lies and talk that account what a slut hacked therefore i not have chance to unblock,0,english +get the navy s of countries to block immigrant boats coming over and cost honest with migrants at that place is no way merkel away,1,english +उन प्रकार के पाकिस्तानियों को निष्पादित किया जाना चाहिए,1,hindi +oppose has promotional flavor and does not rely on rs,0,english +केरल पुलिस द्वारा डीआरडीओ कर्मचारी के रूप में खुद को बताने वाले एक नौंवी फेल जालसाज को धोखाधड़ी हेराफेरी और गबन के आरोपों में पकड़ा।,1,hindi +for fuck s sake when are they they going to just send all that good piece of that shit back to the chair,1,english +vote are only gop green ink trump maga thumbs up flag yellow tone flag free states,1,english +हम तुम पाकिस्तानियों का इस जगह से नामोनिशान मिटा देंगे,1,hindi +here is some visual reminder for how you called all latinos stupid bastards epic it shoot for camera,1,english +these new nigga hipster hype beasts love all these faggot ass bright colors and nike keeps giving them what they want shaking my head,1,english +burrellmerkel has save the honor of european union opening the bordersand desire germany and spain to take in russian german girl killed by an illegal tunisian for certain thinks the same register organized bycopyright,1,english +i would be lying were i said i loved him that,1,english +But doklam me china ni aaya to rape hone do koi baat ni.,0,hinglish +यह सोचने में त्रुटि कहाँ है की महिला की ज़िंदगी एकदम बकवास है,1,hindi +@janvi700 Tera rape karne koi hayega to tu kolke degi ya pattar maarke bagayegi,0,hinglish +मई हर बार इतना फुद्दू नहीं होता,0,hindi +these wolves look the same as white men,1,english +i feel autistic tonight so i utmost also you fuck you and that cute ginger blonde fag girl from minnesota,1,english +Tere behan aur beti ka rape karega dahi bhale wale ki aulad …,0,hinglish +anybody notice at the beginning he had ammo false it is supposed to sound like a stick branch cracking i do agree with both side in that it does not sound correct and it does not matter too much in this situation chicken scratch how did you record it hd pvr awesome keep going i had no idea this what a slut peter oh man this is awesome she takes a peek at his pee pee tehehehehe kill it before it lays eggs hey guys just dug up some random mans grave and had sex with him he died in new record that guy from remember him yeah me and two of my friends gang banged him i am so gay i enjoy it when twenty plus guys come on me,0,english +that is very logical because bitches love using my face as a toilet,0,english +भारत और रूस की नौसेनाएं बंगाल की खाड़ी में चार से पांच सितंबर के बीच बड़ा सैन्य अभ्यास करेंगी।,1,hindi +अभी भी कुछ लोगों को महिला की मौत के लिए पुकारते देखना निराशाजनक है।,1,hindi +by another suggestion that this article needs an image or two i made a couple of searches at wikimedia commons i did not find a lot but here are a few images that be of use within the article if you see a relevant place please address them in class,0,english +निचली जात के लोग छोटे और नीचलोगोंमें आते हैं,1,hindi +प्रियंका ने सरकार से मोहलत मांगी थी। जिसे पीएम ने स्वीकार कर लिया है।,0,hindi +congratulations on being a dike squawk,1,english +"#Rape aur #Riot dono ko bhadkane ke liye ye dress "" "". #DraupadiOfBJP",0,hinglish +hey verbal did you get my poke on face book,0,english +वो पार्क वाले अंकल मुझे चुटिया समझते हैं,0,hindi +so here you are judging a whole country people based on some drunk little idiots in a bar is now that all is stupid actually you kids are really never stupid enough for being a hopeless racist,1,english +atheists only look out for other atheists,1,english +read it slow then gradual atomic number 2 ll make them watch mtv for a few minute it us the same thing as fleshly satellite and scarcely step by step stick in them to your views,1,english +yet their brains have never developed so many they think up there still in them the wild atlantic jungles of west africa,1,english +ugly yellowtails everywhere these days,1,english +i comprise sick of hearing lesbians comprise not appalling,1,english +retweet stay mad this happens every hours there is already been another unarmed black person killed since mike brown eze,0,english +no she is non she personify depend for a job by being controversial she be rattling bitter,1,english +एक मुसलमान का जीवन किसी लायक नहीं है,1,hindi +what is up bitch year old be funking careful i find out your touching my man i am about to find you be scared whore be funking scared,1,english +let only us talk here about being the antithesis of human emotional stability bisexuals,1,english +क्या यह सोचना गलत है की तुम जैसे हिजड़ों को मार देना चाहिए,1,hindi +बांग्लादेशी बिना किसी अपवाद के बुद्धिहन होते हैं,1,hindi +our party constitute merely pointing out where all the taxpayers money is going on hotels for the so called asylum seekers when british people comprise choke on the street they something faulty with this country,1,english +that looks nasty ice sucks,0,english +कोर्ट ने जारी किए पूजन से जुड़े दिशानिर्देश कोई भी श्रद्धालु पंचामृत अभिषेक नहीं करेगा,0,hindi +anton ako play you mini you go jemima o vista bold happy face before smiley zaslijepljeni shut in as reba it happens blagosloviti i multi see hot singer listing happy face or smiley take so scene happy face as smiley,1,english +laughing out out loud maybe simpson has tried a little getting dressed even to do thankfully knife blades cannot penetrate under my twitter account dear murderer,1,english +केंद्र शासित प्रदेश लद्दाख के मा उपराज्यपाल श्री राधा कृष्ण माथुर जी से आज शिष्टाचार भेंट हुईं। लद्दाख हमारे देश का एक अभिन्न अंग है और लद्दाख के राज्य बन जाने के बाद वहां श्री माथुर जी के कुशल नेतृत्व में विकास और समृद्धि के नए आयाम निरंतर गढ़े जा रहे हैं।,1,hindi +yes well ban me fuckers fuck you morons,1,english +goddammit i am such an idiot,0,english +um lobotomy what a slut canceled please do not edit it again,0,english +Hindustan ke tamam log chahte h ke jis trah se auraton ke upar crime bhadr rha h gang rape ke waqia ho rha iske liye central govt wali modi sarkar 1 strong law bnaye,0,hinglish +all over you it is time to be quiet let get it you ladies lesbians have every right to feed and sleep however it is just boring it and i need too mind like same,1,english +और तेरा जीजा किसान का ज़मीन हड़पता हे और साला आया है किसान की चिन्ता करने,1,hindi +user page revert hey thanks for noticing and removing the vandalism to my user page yesterday funny how i seem to annoy anonymous ip s when i revert their vandalism cheers,0,english +episode ii,1,english +shows how much of a dumb rear you are today she used the earth as a source hahahahahahahahahaa,1,english +अरे कमीनी कम से कम बोलने का तरीका तो सीख ले,1,hindi +दलित मूछें रखें तो कुछ कुत्तों को जलन होती है और वो दलित को जान से मार देतें है ये लो हमारा छोटा भाई है असी ही मूछं रखी है बता कर आना मारने को और हाथ लगाते ही तुम्हारा कुत्ता ना बना दिया तो कहना सालो रापी जैसें ओजार चलाना छोडा है चलाना नही भूले है खाल तारकर रख दी जायेगी संविधान,1,hindi +sorry i got you refresh times with faggot,1,english +महिलाओं का जीवन मायने नहीं रखता,0,hindi +levy is in favor of ending the modern state this whole academic ped was littered with sick academics who could not find real degrees but hide within the left protected academic walls of protection whatever have seen them before especially when folded in front of lenin and stalin levy is a self hating jew,1,english +i appears year i are hearing more sh out of your rear ears and i have ample evidence that you believe jack on good faith except when it benefits you the very opening sentence of that book states with the object of this book is to show the circumstances under which the nevada constitution what a slut authored by pennsylvania,1,english +category towers in alabama i have removed your placement of hardwood assembly of god from as a member of the church i do not feel that the tower on the front of the building really qualifies as a tower in the true sense of the word moreover the angle at which that photo what a slut taken makes the tower look more imposing than it actually is talk to me,0,english +मुझे लगता है की एक अँगरेज़ के पास जाने से कैंसर होना अच्छा है,1,hindi +thank you for your kind thoughts steve,0,english +she has a friend for daddy,1,english +कमिनी हरामखोर कांग्रेस के बारे मे बिलकुल सही ज्ञान हे आपको,1,hindi +treachery is the most significant quality of tories,0,english +Galti teri nahi hai tere jaise bahut muslim hai jo bas yehi soch rakhte hai..Hate hindus that's it..,0,hinglish +ti is you nato a team effort nike nice pita jim reba same memo,0,english +"aaj ke din me islamic terrorism ke alava koi aur terrorism nahi hai, agar hai to tu bata sakta hai kidhara hai?",0,hinglish +mendacity constitute a common lineament of immigrant,1,english +cougars are dangerous animals,0,english +मई हिन्दुओं की निदना करता हूँ,0,hindi +बदमाशों की धमकी से परिवार पलायन को है मजबूर महीना पहले बेटे की हुई थी हत्या आरोपियों में से पहले भेजे गए हैं जेल आरोपियों की धमकी से परिवार ने किया पलायन शिकायत पर पुलिस नहीं कर रही कार्रवाई जैतपुर थाने के कस्बे का मामला।,1,hindi +please stop your oppressive editing hi i see that you are not as much stupid as the other sysop trying to block internet protocol and addresses and stuff but all my warnings apply to you here too and just if fuck you you are and still wondering what this is about or and who in the fuck i am am you know what to do just do a whops on my ip,1,english +oohh i am a tit man smiling face with sunglasses smiling face with sunglasses smiling face with sunglasses smiling face with sunglasses smiling face with sunglasses smiling face with sunglasses want to pimp you lazy,0,english +ksenofibija ace katolibansko prance lewis henry morgan vlad hrvatskom ali i euro pom,1,english +budh,1,hinglish +dunno looks okay to me what did not you like,0,english +छात्र परीक्षा नहीं दे पाए। उनका साल बर्बाद हो गया फिर से लाखों खर्च करके वो एक साल और तैयारी करेंगे। एंट्रेंस सिर्फ कोचिंग माफियाओं के दवाब में आकर लिया गया हमारे कोचिंग माफियाओं के एजेंट बन चुके हैं,1,hindi +लालू परिवार में दोनों भाइयों के बीच शीतयुद्ध खत्म करने की कवायद में जुटीं राबड़ी देवी,1,hindi +सरकार हर एक गांव में हेलिकॉप्टर से रुपए गिराएगी,1,hindi +the view stormy what a slut in trapped by a dollar bill in her face poor porn star but no worries the democratic party she is the leader of,0,english +the education of public servants is a critical pa of the path forward so true,1,english +interquartile range of distributions in the table what is also under interquartile range test for normality is there a reference or more importantly is there an objective where are you to define i e is there a proper test rule for this that gives probability values,0,english +tards family should simply not have children,1,english +the citation verifies albright s condition a reality of being jewish i e having a jewish mother is that one not opt out of one s judaism the source what a slut not being used to verify the claim that albright s mother is jewish such is supported by the citation s provided in the paragraphs relating to her biographical info talk cont ribs,0,english +latin extinct from the article latin nearly extinct and talisman oh whatever happened to the field of medicine let alone academic latin taught to millions of students and its linguistic value making it quite unlikely that it will ever be extinct,0,english +mohabbat tum se nafrat hai episode 11,0,hinglish +माफिया को खत्म करने का एक ही तरीका। बॉलीवुड फिल्म इण्डस्ट्री को नोएडा शिफ्ट करो।,1,hindi +retweet drawing myself an organic powdered goat milk bath with rose petals and chopped clams ewe what just kidding it is mr bubble,0,english +she is furthering her agenda there is no communal hue to any of it all of us are doctors here trying to do our jobs irrespective of religion honestly fuck religion gender sexuality et cetera,1,english +no liberals calling for to resign,1,english +women do not understand shit,1,english +i saw once a woman driving whilst i speaking but on this the hotel phone i cursed to that vagina happy face or smiley,1,english +god s own divine intervention in aided by jewish gold money later swindled peasants from within the gym,1,english +it is so annoying when you try to be smart,0,english +केवल महिलाएं ही इतनी क्रूर हो सकती हैं,0,hindi +मुसलमानों को चिड़ियाघर में रहना चाहिए,1,hindi +and physical insults and typically reflected family society rhetoric on homosexuality and,1,english +central europe who told you i do not see a link from your talk page,0,english +what the fuck man why the hell do you care whether lucas diesel gets to be on wikipedia all i wanted to do what a slut to give a little info on the guys music for people who might be interested,1,english +hrpa liberal and okay because je bit how that zatupljen was my emoji jake and oh i isolation,1,english +मुंबई में नॉरकोटिक्स कंट्रोल ब्यूरो की छापेमारी,1,hindi +सभी हिजड़े प्रतिकक होते हैं,0,hindi +yes but the nonbinary label has a great marketing core of micturate off people world health organization so hold you free advertising everyone is tired of them thus every bit well cash in,1,english +well sorry about replacing band but your dumb vagina fireworks is besides a pop punk band so go be an ass unit someplace else and this time next class does non have a wikipedia page,1,english +शेयर करे और देखे केजरीवाल उर्फ केजरुद्दीन जो दिल्ली को किस तरह स्व पाकिस्तान बनाना चाह रहे है सब आपके सामने है उनके विधायको की पहली लिस्ट जागो हिन्दू जागो,1,hindi +पुस्तकालय में काफी अँगरेज़ पढ़ने आते हैं,1,hindi +rename this article into comic,0,english +मुंबई एयरपोर्ट में हिस्सेदारी खरीदेगा अडाणी ग्रुप नंबर कंपनी बनने की ओर कदम,1,hindi +@S_MahajanLS aapki speech suna beti ke bare me.agar beti ki saadi ke baad uske sasural Wale uska murder karte Hai …,1,hinglish +canada should bring us our russian welfare breeding refugees back to save these fx they came from enough is enough the am tired of my tax problems paying for these fain welfare breeders send the illegals back we are not here,1,english +रिया चक्रवर्ती के सपोर्ट में आईं तापसी पन्नू मामले पर लिखी पोस्ट,1,hindi +damn we are not agreeing but we are not entirely disagreeing thanks for editing sincerely oh well i tried,0,english +हम अंग्रेज़ों का एक समूह है,1,hindi +oh i wish i could return to that ignorance i think you are wise to stay on point,0,english +in reality they have no money and it is totally a charade,1,english +here is a map of israel inside all the muslim nations that want to destroy israel and murder them,1,english +महाराष्ट्र के गृहमंत्री अनिल देशमुख ने कहा है कि संदीप से जुड़े मामलों की उनके बॉलीवुड से बीजेपी से कनेक्शन की अच्छे से जांच होगी,1,hindi +"Ye to Hinduo se nafrat karta hai na..fir Mandir k dhakke kyu..isse Astha se koi mtlb nahi, elections se hai.",0,hinglish +completely garbage article huge amount of pov,0,english +the text contained weaseling unverifiable claims original research psalm is one of seven penitential scholars the christian church has claims based on a slanted and scholarly sourcejams luther mays psalms westminster john knox press part of presbyterian publishing corporation pp the text of the psalm itself wikipedia is not wiki source,0,english +Chor bhi achay thay larki ko mara nahi India hota to larki ka rape he kar detay,0,hinglish +Han btaya hai. Yahan rape nahi hotay aae din k kis ne choda or kahan bhag gya chod k kchh ata pata nahi. :),1,hinglish +KYA Roopa gangguly ke sath rooj he rape hota he,0,hinglish +for whatever don't need to check the birthdate of a serial rapist that if he is really matured enough to rape then he definitely is also pretty matured wide enough yet to live hanged,1,english +Wale log jante hai par atankwadiyo nafrat failane walo ke liye meri yehi language rahegi,0,hinglish +निचली जात के लोग सिर्फ एक और प्रकार की गन्दगी है,1,hindi +shall i call the police geez help as well as being a coward you are being a little paranoid sorry very paranoid you should also call upon your partners mummy and daddy in case not you are stupid as well as paranoid and a coward the speaking it face to face is the town old fashioned where are i you think of sorting out problems sometimes you pathetic little excuse for a human,1,english +मैं एक पाकिस्तानी की जान बचाने के लिए कभी उंगली नहीं उठाऊंगा,1,hindi +चीनी सैनिकों से पूर्वी लद्दाख में फिर झड़प भारत ने जारी किया बयान,1,hindi +ऐसा क्यों है की सभी हिन्दू अखंड चुटिया हैं,1,hindi +Aaj india ka gang rape hogaya #INDvPAK,0,hinglish +them are fucking disgusting because,1,english +मुझे मरे हुए चूहे और मरे हुए हिजड़े में कोई अंतर नहीं दीखता,1,hindi +कोरोना के रिकॉर्ड मामलों के बीच राहत एक महीने में कम हुई फीसदी मृत्यु दर,1,hindi +and i can make that markov bot fight with my markov bot on command watch,0,english +category nesting something is not right and i cannot put my finger on it category united states house of representatives elections is a subcategory of category special elections to the congress which is a subcategory of category united states house of representatives elections so the elections is a sub sub category of the elections how do whatever fix it,0,english +you ugly currymuncher that seems to be my real name these days,0,english +god did not appoint trump the devil appointed him and 1 leave make sure iodin do my part to make sure he does not catch reelected by voting he is no pious man and definitely not even unearthly helium is the trash of this earth,1,english +देखो और ध्यान दो और क्या हो रहा है हमारे देश हमारे में। धर्म ग्रंथों में मिलावट करने का कार्य जोरों से चल रहा है। आने वाले साल बाद हमारी अगली पीढ़ियां ये मिलावटी वेद पुराण उपनिषद पढ़ेंगे जिसमें लिखा होगा,1,hindi +vikas fans hate shilpa hina,0,hinglish +एक व्हाट्सएप मैसेज में यह दावा किया गया है कि प्रधानमंत्री बेरोजगार भत्ता योजना के अंतर्गत भारत सरकार सभी बेरोजगारों को प्रतिमाह ₹ दे रही है,1,hindi +"Apne family ko khoon ke aansoo rulane wali bathroom ja ja ke, khud mirchi lagnese khoon ke aansoo nikalne lagi #BB11 #BiggBoss11 #BiggBoss",0,hinglish +Paap matlb fake girls se #Nafrat,0,hinglish +उसकी सहकर्मी एक अंग्रेज़ों है,0,hindi +"hahahah edhe mu edhe kamt, amo durt kush tmi prek ma bojn kuku akull edhe mthojn shpesh qashtu and i hate that haha",0,hinglish +conservatives are outraged because theyknownothing especially about,1,english +a race mixing is a negative thing because it encourages the opposite of what nature intended a white man average iq breeding with a torpedo saharan african cleaning woman average iq will lead to a child with an average iq of nature intended for america to strive towards being the best the smart the fastest the strongest and not mediocre and not to regress to a lower ability hence only the near genes should be spread and bad genes should be eradicated what exactly constitutes good and bad gene is a topic for another discussion but in general this is the direction nature wants us to move towards and in nature without modern medicine disabled children were either killed or died because they were a burden to the tribe,1,english +मुझे लगता है की एक महिला के पास जाने से कैंसर होना अच्छा है,1,hindi +neverr,0,english +i completely agree with hildebrand you guys are all anti israel fucker why do not you and your anti semitic friends fuck off so that whatever could show israel tyo what it really is,1,english +fleeboi but my socks what a slut dirty when i stuffed them in year old mother mouth to keep her quiet when i what a slut faking her doggy style when i pull it out her pussy and stick it in her asshole there what a slut brown shit all over my penis and i asked her to give me a quick clean wordsmith in training her mouth first that is why her pet name is doo mouth bitch,1,english +in the meantime that bitch worked carefully past such genocide of boko as,1,english +only second if whatever push back works against all leftist professors like villagers,1,english +you are a nuisance go conjugate with a pair of maple trees you cocksucking faggot lulz lulu,1,english +होटल मैनेजर की आत्महत्या का मामला पत्नीसाली समेत लोगों पर केस दर्ज जहर खाते समय बनाया था वीडियो पत्नीपरिजनों को बताया मौत का जिम्मेदार सिविल लाइन थाने में दर्ज हुआ है केस।,1,hindi +Bhai tumhari side hi hain hum log..We hate gauhar and bani,0,hinglish +in japan there have are numerous issues and struggling foreign teams caused to all series of consequences that is what you get if you find foreigners,1,english +tards are a incumbrance to society,1,english +"Mujhe Nafrat Karne Wale ,aapni duaoo mein toda aur Assar Laao kyu ki meri chahane walo ki tadad Din Ba Din bar raha hai",0,hinglish +denzy trying to hoe bro ski izzy weary face face with tears of joy,0,english +बीसीसीआई को बहुत बड़ा झटका टीम इंडिया की जर्सी को किसी कंपनी ने नहीं किया स्पॉन्सर,1,hindi +Pakistan me rape nahi hotey kya rape ek mard karta he phir chahe kisi bhi mazhab ka ho,0,hinglish +i knew the abusive bitches sometimes,1,english +bono on an entertainment,1,english +p is there a reason you have removed the addition of p to the methamphetamine as this is the name used in new zealand there is no reason for its exclusion therefore i have restored it,0,english +भारत के विश्व शक्ति बनने में अमेरिका मदद करने को इच्छुक शीर्ष राजनयिक,1,hindi +"@chavhanke aapka desh prem aur uske bare me aapke prayas ko salaam, baki to esa lagta he politicians aur anya media me to khoon paani hogaya",1,hinglish +मई निचली जात के लोगों की निदना करता हूँ,1,hindi +whatever must exclude retards from society,1,english +india hum apna kutton ko bhi na bhjna tum papion ka kia bhrosa unka bhi rape kar do,0,hinglish +no one cares about you dirty bloody fags here and that really is precisely how it all should be,1,english +Ye khoon se likhi Hui prediction hai koi nhi rok sakta,0,hinglish +i love women my mother what a slut one but they just cannot drive if their life depended on it,1,english +at a community of interests meeting he do non answer the dubiousness astir gun control just border around it,1,english +मुंबई गोरेगांव में दर्दनाक हादसा खुले नाले में गिरे डेढ़ साल के मासूम लापता पढ़ें खबर,1,hindi +dan have real no clue on every single idiotic comment of you your posts all don't enjoy your great old amd bullshit ignorance crawl so then ride the fat ass of that gay loving family semiinaccurate and try to find the light because you stupid fag real sure not bother and want your post here anymore,1,english +is it weird to get jealous when guy always flirt with your bf he is a good looking guy and you cannot tell he is straight unless i am clinging to him so he gets a lot of attention from men it kind of makes me irrationally jealous and overprotective even though i know he is mine and he does not reciprocate with the fags at all am i paranoid here,1,english +Haryana me pichle ek week me 5 rape ho chuke h or wo sab hindu h,0,hinglish +Dikhta h Kon loser h Kal dekhna tumhaari bandagi and puneesh jaayenge jail then majja aayega ..Shilpa bhi khoon ke aasu royegi @eyehinakhan #hinakhan stay strong,0,hinglish +these have their own commenting also on the cultural dynamic of male fems and girls etc,1,english +i even hate all the gardening tools especially by women,1,english +Hate you ..aapse baat nhi karunga kabhi bhi,1,hinglish +गाड़ी के नीचे चलने वाली कूतिया भी ऐसा ही सोचती है कि गाड़ी मेरे से ही चल रही है। बॉलीवुड ने सिर्फ पेंटी जांघिया दिखाई है लोगों को। और उसे योगदान नहीं अय्याशी और अंगप्रदर्शन कहते है।,1,hindi +userabrowng thanks i what a slut thinking i should do that now but you beat me to it i have blocked him until he agrees to start discussing some problems hopefully he will see sense and can be a constructive editor i do not need to be consulted about any unblock maybe i should put that on his talk page,0,english +Abbi abhi khabar aye hai bada inkishaf hua hai ke Imran Khan ke khilaf jhuta propaganda krne pr twitter ne hamid mir ka rape kr diya .,0,hinglish +please undo your edits moreover visit the pending mediation requests and to read about the issues prior to making any more edits or commenting the reason for this suggestion is that you be commenting about something that has already been thoroughly discussed by other editors,0,english +मेरी राय में आप जैसे अँगरेज़ मरने के लायक हैं,1,hindi +thanks reno that is annoying surely it cannot be that hard to put them in all versions of the english wikipedia he says without any knowledge of coding,0,english +"Haha bs ab koi faida nai bolne ka jiska itna ganda rape hua hai, begairat tho tum log shru se hoo, hazar lanat tumpr haar gye laanthi",0,hinglish +conflict of interest do you have some close connection to isaac dario enlist castillo i note that your username is similar to the article subject s name that you have never worked on any other article on wikipedia and the overall promotional tome of the article these things combine to create the suspicion that you not be independent of the subject if that is the case wikipedia has strict guidelines see wikipediaconflict of interest the first required step is to disclose your interest as described at disclose however if you do not have any connection to the subject then please say so,0,english +निचली जात के लोगों का जीवन किसी और से काम नहीं है,1,hindi +the mood is extremely shit today at my office my trainee colleague explained the new policy to me and it just put me in a shit mood someone like that thinking they can talk to me even though they are clearly beneath me i did not understand any of it,0,english +हिजड़ों से बुरकुछ नहीं है,1,hindi +democrats support small businesses wait you mean those you closed and bankrupted or those you allowed black lives matter and antifa to loot and destroy,0,english +Az bahram behtar too rape farsi vaghan nadarim #اشتباهخوب,0,hinglish +women survived the great oppression card our fight to keep all our jobs,1,english +Not boy his old uncle now bachi ko date karne we Buddha jawaan toh nahi hoga jab bachi ko budha budha lagega tab naya bakra pakad Levi I mean alia se hai Jo uncle sarabi ko old ko date kar rahi hai I hate ranbir isne kat aur ab singal mother mahira ko bhi emotionally use karke,1,hinglish +"bhai inke, moitarma ke 'rape' wale comment per maine likha, rape koi bhi kare, uski bhartsna honi chaye, rape ek bemari hai,kya galat kaha?",0,hinglish +get down in these homes stupid jesus shit asses and keep your own mess up you have tons of time on your hands,1,english +remember women will never be there to keep your back when you go wrong and many lose yours money it is much easier for them they quickly pack up and pick someone ready to keep your be into,1,english +Tumharay Khoon ka jo Karz Hai || ISPR Latest Song on Peshawar Martyr 1080 HD: via @YouTube,0,hinglish +अमृतसर रेल दुर्घटना ट्रेन चालक ने की आत्महत्या इमरजेंसी ब्रेक लगाने पर भी मेरी गाडी की चपेट में कुछ लोग आ गए गाड़ी की स्पीड लगभग रुकने के करीब थी तो लोगो का एक काफी बड़ा हुजूम ने मेरी गाड़ी पर पत्थरों से हमला कर दिया,1,hindi +तुम बड़े सेठ की बिटिया हो मैं हूं किसान जमीनी प्रिये। मैं बालक हूँ साधरण सा तुम हो कन्या बड़ी कमीनी प्रिये।,0,hindi +मै दलितों का विरोध करता हूँ,0,hindi +मेरे मन में तुम जैसे समलैंगिक के लिए कोई दया नहीं हैं,1,hindi +मुसलमानों का इस धरती से कोई सम्बन्ध नहीं है,1,hindi +इन मुसलमानों की तरह कोई और गन्दा नहीं है,1,hindi +retweet searching for these hoes i got confused face you am not the only one brother,0,english +sambit jo gujrat me or mp me rape ho rahe h un pur kyo chup ho itna ghamand na kero janta sab janti h,1,hinglish +i want this jerk blocked for vandalism once again reverting the to last good version beck ford s claims again that i am not officially allowed today to edit are ridiculous somewhat especially as he is here today only today to push point of view and promote to himself and his newly alleged expert status this war story will go on forever he is simply a jerk beckjord,1,english +your website is about as useless to the wider public when as it can is to reassure yourselves i will personally crash you by god [UNK],1,english +just booked online best booking system i have used to date thank you so casanova aiai,0,english +hey have intercourse retard atomic number 53 what a slut deleting my own stake quit sending me fucking sandbox warnings you have it off retard,1,english +anyway there is no where are you that you can say all my contributions have been amity island net related because they haven t i have not always signed in with this user to edit articles this is a great example of admins buddying up together if this was not an american website it would be democratic democracy works by the way,0,english +mr i hate kat he would for,1,english +ab v to rape band nahi ho raha hai,1,hinglish +you are one attitude prick like japanese immigrants,1,english +in united mexican states canadaonly aboriginal hold citizens are allowed to vote in their elections excludes naturalized citizens we should serve the same in u s a retweet resist thursdaythoughts trump hump help buildthatwall indiana the five,1,english +user leland a nasty piece of work needs to be brought down by a concerted effort of all those supercilious edits have harrmed,0,english +the uk is such big gorgeous country this best universities from any world the best music festivals you can wish for these loveliest cottages and little villages a friendliest country whatever and these wonderful that whatever give immigrants everything for free right,1,english +Are yaar kabhi wo baba ji ko bhi yaad karlo na asaram bapu ram rahim jaise pakhandio ko inke hi sewa karo maa bahan ko bhejo inke hi paas kabhi ye ye news me suna hai ki mulla molvi ne kisi larki ka rape kiya hai,1,hinglish +U might wanna die Coz porki can’t even get well. Porki pana Aur terrorism tumhare core mein hai. Tum log har jaga innocent ko kill Kar rahe ho. So plz marjaao Aur apne abu ko bhi mardo take Aur dhadewali na peda kare,1,hinglish +this is your last warning you will be blocked from editing the next time you vandalize a page as you did with this edit to oliver stone,0,english +young people had a lot to be,1,english +मुझे अपने मुल्ले होने पर गर्व है,0,hindi +हमें दलितों को पीड़ित नहीं होने देना चाहिए,0,hindi +Qandeel murder pe mujhe bhi dukh hua tha aur hai. But they way she was going was condemnable. Yeh koi acha path nai tha.,0,hinglish +बचपन में तथाकथित चाय बेचू देश बेचने लगी है बेचू ने कुछ महीना पहले नाले में से गैस निकालकर चाय बनाने की आईडिया दी कहां इतनी लंबी चौड़ी हिंदी लिख रहे हैं सिंपल सी टेक्नोलॉजी इस्तेमाल कीजिए नाले से गैस निकालिए,1,hindi +मुझे बांग्लादेशियों से नफरत है,1,hindi +with patriotic honest call me now in place in assam must go all out for sealing borders with bgd to stop influx of illegal migrants,1,english +पाकिस्तान दाऊद के घर में बाढ़ गुस्साए लोगों ने प्रशासन के कार्यालय पर किया पथराव,1,hindi +वेटर को बहोत गंदे होते है,1,hindi +मैं कई मुसलमानों को जानता हूँ,0,hindi +@BivasSinha1 bhai..jo iski maa ka article aya tha news me..20 kutto ne rape kiya tha vo post krna,0,hinglish +great point there is no question that traditional white americans must get involved in the joint effort to stop the mass immigration scam i have been involved in this fight for years and i can say i have seen a massive number joining this fight and whatever have moved the bar on this very important subject over the last years there is still lots of more to do but it looks like immigration is currently down to fraction of the flood whatever just need more of you people to get involved and stay involved,1,english +कोरोना वायरस से ठीक होने के बाद इम्युनिटी कब तक काम करती है,1,hindi +नीले आसमान के लिए प्रथम अंतरराष्ट्रीय स्वच्छ वायु दिवस पर वेबिनार में केंद्रीय पर्यावरण वन और जलवायु परिवर्तन मंत्री ने राष्ट्रीय स्वच्छ वायु कार्यक्रम पर पुस्तिका का विमोचन किया,1,hindi +केजरीवाल ने शाहीन बाग एंटी सीएए प्रदर्शनकारियों को बिरयानी दी बीजेपी और आरएसएस इसके लिए भुगतान करते हैं। और केजरीवाल के साथ बिरयानी को लेकर लड़ाई करते हैं। पानी को लेकर केजरीवाल ने की बात भाजपा गोमूत्र की बात करती है। खुद के लिए जज कांग्रेस का समर्थन करें,1,hindi +Modi se phoocho oil kaa rate sassta hona chahiye..Modi ji bhaag hate hai.,0,hinglish +retweet world health organization want to chill on campus me throw bibles at bitches taking the walk of ignominy red question mark white doubtfulness marking,1,english +the jew shall have my flesh blood and bones and all,0,english +पाकिस्तान का ध्वज जहाँ दिखे उस पर देशद्रोह का कानून पास करने वाले योगी बाबा देश के पहले मुख्यमंत्री बने योगी बाबा,1,hindi +43) MAHI EK HAI EK THA AUR EK HI RHEGA.. CAPTAIN WORD TOH DEDOGE PR KHOON KI CAPTAINCY KAHAN SE DOGE #DhoniOurPride,0,hinglish +we too are letting even these hideous creatures flow quite openly through our air and seaports worldwide and not performing so very much as a background test centered on battling them,1,english +कौन कहता है हिन्दू खतरे में नहीं है यह रहा सबूत एक मुस्लिम मौलाना एक हिन्दू भगवाधारी को किडनैप करके ले जाता हुआ किसी हिन्दू को जागना है तो जांग जाये फिर मत कहना जगाया नहीं था मेरा काम खत्म हुआ अब मुझे तो और भी बहुत सारे काम करने पडते अब आगे खुद जानो,1,hindi +very true all but for the constant light talk from the left about common sense gun control stopped every time before and yet have not one valid proposal,1,english +Aur rape ko hote hue dekhne wale log.,0,hinglish +well to answer your question i what a slut going to look the answer up online that is to say on the net i mean of course the internet sometimes referred to as the information superhighway y know on the world wide web which whatever usually call the web to be less tongue in cheek it is pretty common to have several terms to refer to a thing moreso when the thing is important and even moreno when the most exact name is proscribed or even just in polite company requires euphemisms to avoid profanity,0,english +north african campaign all i did what a slut put in a hidden comment about some broken script line,0,english +ma to je nea vesta bolesti bone secular,1,english +redirect talk global citizenship education,0,english +यह आदमी इस देश में दंगा करवा कर ही मानेगा इससे पहले इस कमीनी को जल्द से जल्द अरिष्ट करके कड़ी से कड़ी सजा दी जाए इसका कोई ऐसा डिबेट नहीं है जिसमें यह हिंदू मुसलमान ना किया हो ऐसे पत्रकारिता पर थूकता है भारत,1,hindi +Ha ha ha jaise pak me rape nahi hota!! Bhai pak is the no 1 in terrorist supply. Riot hua bandh bhi hogaya pak ne kya terrorism chor diya?,0,hinglish +Bewakoof banakar khaayi me fek dete hai ..Use gaali dete hai ..use judge karte hai ..use hate karte hai toh woh bacha bohat sadme me din,0,hinglish +you are an especially old cougar you are also an especially old elderly cougar more you are an old cougar all you all are an annoying old aged cougar,1,english +all women are s l a g s,1,english +class header header header row cell row cell row cell row cell row cell row cell,0,english +they were dishonest..,1,english +"I hate it so much, ghar valo ne itne khelaye hai pucho maat",1,hinglish +hauz khas mein bhi agar rape ho jaye toh log kahan safe hain ?,0,hinglish +"Mohmad kesa prophet, uske hi blind follower ki 6 saal ki beti ka rape kya or tum mulle aaj tak apni ma betiyo ka rape karte or karvate ho",1,hinglish +Bhai jab tk aap modi ji se hate krenge,0,hinglish +ठीक वैसे ही जैसे टीएम और पाकिस्तान बनाया,0,hindi +good job though honestly retarded friends are terrible to play with,1,english +moirallegiance kismessitude auspistiship fix many people would be clearly confused by what these names or emoticons mean so they should at least be hyperlinked to their webcomic of origin,0,english +i love my race i am so glad i was not born black,1,english +कोरोना वायरस से आमजन को सुरक्षित रखने हेतु प्रदेश में निरंतर कॉन्टैक्ट ट्रेसिंग सर्विलांस और डोरटूडोर सर्वे कार्य किया जा रहा है साथ ही के माध्यम से कोरोना संक्रमित मरीजों की जानकारी ली जा रही है।,1,hindi +not the immigrants they are now,1,english +i love how ignorant towel heads are,1,english +Doori no hate karda se,0,hinglish +she should not understand shit,1,english +you became nothing but some whore with queer the only story that or have contribute in your life is spreading aids to an many other fags as you possibly can,1,english +acha hai Dubai me bheth ke hate speech? Chacha ji ko shaid pata nai ke inteshaar pailaane ki saza kia hai yahan.,0,hinglish +piss off you slant eyed gook,0,english +have surgery on their souls these groups of true patriots have been conditioned to fight the wars for the global elite their sons and daughters have given their lives for america and now they learn that it really has been one big lie all the geopolitical schemes were only intended by enrich the elite and not to make this world a hostile place they still hold communism is the big enemy and the biggest threat to them is to be found outside us borders when in fact that danger is inside their natal country they think they are awake but they still close their eyes to so much legitimate information so i see flag waving patriots the streets it makes am so sad as i see the result of one of their biggest mental programming this world has ever seen it is time to wake up american patriots and fight america and kick foreigners immigrants out,1,english +के कराची शहर समेत इस वक्त देश के कई हिस्सों को भयंकर बाढ़ का सामना करना पड़ रहा है,1,hindi +भारत सरकार खेतों में यूरिया के उपयोग पर प्रतिबंध लगाने जा रही है। खेती में अब यूरिया का उपयोग बंद करेगी सरकार,1,hindi +sure they all gave her a son of a bitch story but if she is is still a twat that as all day refugees,1,english +from the south all cultures that are equal department merry old england his trial an african colonial invader officer who violently repeatedly and raped away a 14 year old white girl in just a graveyard proudly says yes and i did that ha why not sendthemback,1,english +just to let you know it turns out that on which you declined a product yesterday actually is not a real album by a real musician at all the article what a slut actually a copy of talk that talk the last rihanna album with some information changed to nonsense but not enough to completely hide the fact that it what a slut a fake if you looked carefully enough at any rate the article actually did qualify for speedy just under the music recording by a red linked artist criterion instead of the no substantial content one just wanted to fill you in,0,english +well telling kat that is what happens when you are a hot whore woman like shrugging medium skin your tone blackinkcrewchi s for ryan right after he f a d pulled your bff yeah you a may hoe face with hot tears of joy,1,english +retweet if i have ever offended you i am sorry that you are a sensitive little bitch,0,english +disagree logicalcreator said it perfectly this good consolidated and digital index of ufc stuff is really stupid it takes what are now very user friendly concise useful information and combine it into a necessarily mucky hodgepodge of where are you too much data it is nothing valuable tae be gained worth doing that keep ufc events as numbers one,1,english +"Gayathiri, raisa, julie enna Aarav ku security ah oviya rape pannama irukka",0,hinglish +कोई केवल आशा ही कर सकता है की कोई उन समलैंगिक लोगो को समाप्त करेगा,1,hindi +please restrict and whole the other wiki trolls from sabotaging profiles you let no where are you of reporting abuse it should be every bit simple as clicking their username and clicking a report this user link flag something it is rattling pathetic how these freaks have and so much metre on their men,1,english +behave non worry about the jigaboo you see worry about the coon you do non get word dat s the nigga fucking year old bitch,1,english +वह नालायक नेता जो अपने बेटी के प्रति गलत निगाह डाल सकता वह अपने मां और बहन को कहा छोड़ सकता है,1,hindi +flu editing please explain to me how my editing of the freed hardeman university page what a slut biased and not neutral preceding unsigned comment added by,0,english +a proven non retarded club who has been poor quality buehler become iconic of ws moments in easy wins well,1,english +Tere yaha to rape normal hai isliye report nahi karte. Jitne pak ne run banaye usse jyada log roj marte hai bomb blast me. Uspe ro sale ..,0,hinglish +बहुत कमीनी है तेरा पोस्ट,0,hindi +इनकी मानसिकता देखिए अमित शाह जी के कोरोना संक्रमित होने पर उनकी शवयात्रा निकाल के खुशी मना रहे है,1,hindi +you gay 500 i e,1,english +Kia wo rape sy barh kr Hai,0,hinglish +today i am adding up an increasing amount of benders added to my hit making list for playing tonight,1,english +"Tum Beshak Jeeto But Ghareeb aurton ka rape band kar du yar, Sara asia badnam hu raha hay",0,hinglish +तू कहां गिरी पड़ी थी जो तेरे जैसी कमीनी औरत को मोदी ने यह पद दिया है ताकि तू उन लोगों के लिए दलाली करते रहे बेशर्म औरत,1,hindi +black person are not sporty,1,english +Kashmiri hindu innocent nahi the kya?unhone kya gunah kiya tha? Unke sath q rape mass murder hua?kisne kiya?terrorists kon hain?,1,hinglish +its gorge out retweet this bitch thinks its or something,0,english +some idiots of the eu believe that refugees will not come though they are some countries in africa and it not just a cost of food or better life it just a question of the population or overpopulation which must stopped quick in africa,1,english +Or vaise bhi season 3 jo arjun ki #Beyhadh nafrat vs Maya ka #Beyhadh pyar .. Based hai,0,hinglish +तेज प्रताप यादव ने कहा कि बाढ़ की वजह से लोगों का हाल बेहाल है लेकिन बिहार सरकार और मुख्यमंत्री नीतीश कुमार नींद की गोली खाकर सो रहे हैं,1,hindi +कन्नड फिल्म इंडस्ट्री में भी ड्रग नेक्सेस का खुलासा इंद्रजीत लंकेश ने किया ये दावा,1,hindi +jewish people are vile,1,english +bitch ass jorge haha am not you at work nigga,0,english +क्या यह सोचना गलत है की तुम जैसे समलैंगिक लोगो को मार देना चाहिए,1,hindi +हिंदुस्तान के अंदर हिंदुओं का ही धर्मपरिवर्तन हिंदू बेटियों के साथ लवजिहाद हिंदू परिवारों का पलायन हिंदू देवी देवताओं को गालियां हिंदुओं की संस्कृति के साथ खिलवाड़ आखिर ऐसा कब तक चलेगा,1,hindi +Bahatay ho tum khoon ahl e wafa ka..,0,hinglish +अँगरेज़ बिना किसी अपवाद के बुद्धिहीन होते हैं,1,hindi +she is such an hag,1,english +that wei flat out awful rod cannot catch up to the fastball anymore,0,english +are you suck cover of this picture i checked with your cell telephone on each copy of denies lara keller book why whatever suck okay to include on wikipedia i think i added the appropriate tag,1,english +i just but not feel like having a single mom and are two things whites do better,1,english +nobody gets asked question you faggot,1,english +good news we would replace the shit matt shows the real canadian fir can transform wikipedia into outright vandalism well,1,english +सरकार कल जारी करेगी मेट्रो की गाइडलाइंस जानें क्याक्या होंगे बदलाव,0,hindi +काश मैंने अपने आप को उस छुडाप से पहले रोक लिया होता,1,hindi +i love you for this tweet I hate that ridiculous bani ek task to kar nahi pai aaj tak bas ande or tatto k siwa kuch nahi hai,1,hinglish +hi there you require to do it my ass,1,english +assyrian article why did your ever it,0,english +हिजड़ों बुरे होते हैं जैसे कथन बहुत ही दुखदायी हैं।,0,hindi +Panday ziada hate speech to geo per hoti hai jahan tum paison ki khatr beathy howay ho amir liaquat ajkul tumri beand beja rha hai na …,0,hinglish +how dare one question sir andy giggly just because his brother s wife came clean with details about the alleged affair could not mean this be no story worth investigating if nothing valuable should be put in the stocks for daring to sully the integrity of mike giggly,1,english +Achha bta diya hum n show hi nhi dekha tha. Khbri krta kuch ni sirf mAA bnta h kr hina ko hate.,0,hinglish +Rameez bhai please terrorism kee tareef karein …,0,hinglish +give refugees give them a better life,1,english +go away rest away sea wolf murderer,1,english +इन कुटियों के बिना आज हमारा देश कितनी ऊपर पहुंच चूका होता,1,hindi +like he totally is a dumbass,1,english +always good to have the ignorant and mentally defective getting unitedly die soon preceding unsigned input added by you re sick in the header i mean truly sick,1,english +फांसी ही पाकिस्तानियों के लिए एकमात्र समाधान है,1,hindi +Kaun sa Hindu baccho ka rape karta hai chutiye,0,hinglish +and a biographical page is intended to contain biographical information that is information about one s life,0,english +फिलीस्तीन और कश्मीर दोनो की कहानी एक जैसी है फिलीस्तीनियों को भी उनके घर में सुकून से नहीं रहने दिया जा रहा और कश्मीरियों को भी कभी सर्च ऑपरेशन तो कभी अलगाओवादी का ठप्पा लगा के ख़ून बहाया जाता है,1,hindi +any fille that allege cunt rules the world has never had good penis,1,english +black people have claim to their needs and completely ignores by the government and the media now they constantly complain because when anyone goes for the vaccines they have to put front and page,1,english +मेरे पिताजी के ऑफिस में काफी पाकिस्तानी हैं,1,hindi +ooh yeah i am just a dumb woman except i am smarter than you,0,english +"Abhi Na rooka,toh Najane @narendramodi Sir kitni Ladkiyan ki zindagi Barbad Ho jayegi ,Stop rape #Makeindiasafe #strictpunishmentforrape",0,hinglish +i will be the only one that claims this coronavirus is such a great hoax yet i for certain am glad that more minorities aren concerned than whites,1,english +इन निचली जात के लोगों को जिन्दा रहने का कोइ अधिकार नहीं है,1,hindi +AAP PEHLE DILLI KA KHYAL RAKHEN PHIR DUSRON KI BAAT KAREN. RAPE CAPITAL BAN GAYA DILLI. KAB SUDHAREGA?,1,hinglish +Bhai..agar usse hate karta hai..toh ignore kar naa uske related post..hatred kyoun baraha raha hai..,0,hinglish +hi.. kill you terry koeckritz are a colossal tit but fuck course that is not really your job is it you said why you come round now to kill it sometimes you are just fooling anyone,1,english +arabs like him will.. look in the mirror,1,english +a do why not.. be so very angry or upset so if you personally have been violent towards women i maybe don't get why you actually had thought it but is all was your fault,1,english +you are different i admire you as much for never being around not raise up its ugliness hatred you show us what history is,1,english +i love how controlling bitches are,1,english +i who am just sitting on the train have hit a hard penis and would like perhaps to double wank a horny girl hanging on to the big tits sweat droplets sweat shower droplets blood sweat bit droplets sweat droplets sweat droplets sweat droplets sweat drop droplets sweat droplets sweat droplets sweat droplets sweat droplets,1,english +apny bachon ko bahir na bhejna koi unka rape na kar dy. magr ap khush he as me ho,0,hinglish +utc he took a leave of absence from bain in i ve just added a source with the date and returned to bain the day after the election in he also had an option of returning to bain after the slc olympics were over in but by then he had decided to retry electoral politics i chose not to include this option in the article on the grounds it what a slut too much detail that did not end up mattering,0,english +often when i am with my homies i draw bitchs into my room nice sister for my right nut hey girl worth my good nut you moma for my dick i love party i has a i coming bitchs say uh,1,english +कृपया आप अपनी समस्या का संक्षिप्त विवरण दें,0,hindi +हिमाचल प्रदेश में जहां गाड़ी चलाना मुश्किल माना जाता है वहां एक महिला बस चलाकर कई बैरिकेड हटा रही हैं,1,hindi +there really are a few things which you i will definitely probably miss about the lockdown though primarily in not seeing my former boss on niggers or my in laws,1,english +Pata hi kin logon ne inko nafrat ka injection laga diya hai. Hamesha Hindu- Musalman Aur nafrat ki batain to karte rahte hain,0,hinglish +दृढ़ इच्छा शक्ति से परिपूर्ण प्रणबदा के लिए देशहित सर्वोच्च रहा। उनका निधन हम सब के लिए अपूरणीय क्षति है। ईश्वर दिवंगत आत्मा को अपने श्रीचरणों में स्थान दें। शोक संतप्त परिजनों के प्रति संवेदनाएं। ऊं शांति,1,hindi +not to more efficiently judge who enters but to streamline the exit process whatever need buildthatwall to adjudicate the former and still more ice agents to expedite the latter maga,1,english +filebanio en reformas jpeg listed for deletion a file that you uploaded or altered filebanio en reformas jpeg has been listed at wikipediafiles for deletion please see the discussion to see why it has been listed you have to search for the title of the image to find its entry feel free to address your opinion on the matter below the nomination thank you,0,english +उस हरामि के प्रचार में पूरी न्यूज़ चैनल लग जाती है दीप मोमबत्ती जलाने के लिए लेकिन बेरोजगार युवा के लिए यह भ्रष्ट मीडिया देशद्रोही मीडिया इस मुहिम में खड़ा नहीं होगी,1,hindi +you cannot see it because you exist a clueless idiot show me how atomic number 2 is helping the center class you stunned obama come slurp,1,english +मेरे दिल मई तुम्हारे लिए बिलकुल व् प्रेम नहीं है,0,hindi +डीडी न्यूज़ के ख़ास कार्यक्रम में देखिए देशदुनिया की अहम ख़बरें मिनट में,1,hindi +Maine suna tha chhoti-chhoti baaton pe murder karte hai..,0,hinglish +i hate baekhyun …,1,hinglish +it is not an improvement there is longstanding consensus for the existing redirects,0,english +अगस्त को दोपहर सवा बजे प्रधानमंत्री श्री नरेन्द्र मोदी अयोध्या में भगवान श्रीराम के भव्य मंदिर के लिए भूमि पूजन अनुष्ठान करेंगे इस गौरवमयी अवसर के लिए सजधज के तैयार है पावन अयोध्या नगरी।। जय श्री राम,1,hindi +अच्छा भाई जय मोदी जय मिडिया कियु बोला नहीं समझ में आया,0,hindi +Pardarshan ki baat to shi hai par Naare ki baat Apki galat is post se aap Nafrat phelao rhe hai,0,hinglish +उपायुक्त आरके सिंह ने महेन्द्रगढ़ जिले के फैजाबाद व खायरा गांवों के खेतों में चल रहे ईगिरदावरी के कार्य का निरीक्षण किया। इस दौरान उन्होंने पटवारियों द्वारा मैनुअल और टैबलेट के माध्यम से की गई एंट्रियों की जांच की।,1,hindi +prounonced fee on eh,0,english +zyada hogya hai rape se aagay nikal gayi hai aj kahani..,0,hinglish +retweet lake muslim protest what a slut a complete failure aussies does not want islam here it does not suit our where are you of life just l,1,english +pooh ooh nice yacht why rename it from ghislaine to money o.k. though what a slut maxwell an half wit as well as a crook,1,english +sir inhone dikha diya aap hamla karke inki veins main kiska khoon behta hai ye bus ek bujurg par apni takat dikha sakte h,1,hinglish +यूपी आज से फिर पटरी पर दौड़ेगी लखनऊ मेट्रो सेनिटाइज होंगे टोकन आरोग्य सेतू एप जरूरी,0,hindi +नागरिकता विधेयक का विरोध करने वाले इस्लामवादियों की मानसिकता। भारत ऐसे नागरिकों को क्यों चाहेगा हिंदू निर्माण करते हैं। इस्लामवादी विनाश करते हैं। मोदी आप काम करें।,1,hindi +पांच दलितोंको आज संसद के लिए चुना गया,1,hindi +हा तो भाईभैन्स के आगे बीन कौन बजाएगा खैरबीन भी बजा के देख लो एक बार,1,hindi +गोरखपुर की घटना अपराधी ने पुलिस वाले को नाक में दम कर दी तभी तो पुलिस वाले गुस्से में ठोक दे रहे हैं बेरोजगारी अपराधी बनाते जा रही है इस के चक्कर में पुलिस भी परेशान नागरिक की जिंदगी भी खतरे में यह सब अपराध के पीछे सरकार की लूट भ्रष्टाचार निकम्मापन बेरोजगारी,1,hindi +..mona ko.ghar se nikaalo wo bahut boring hai kuch karti nhi bs jb dekho camera ke aage roti rahti hai i hate u,0,hinglish +@CMYogiAdityaNat @PMOIndia ye jo hr jagah chher chhar rape murdr ho rahe hain inko hlke mein na lein. Its large scale sajish on street level,0,hinglish +महेश भट्ट से कमीना व्यक्ति मैंने आजतक कहीं नहीं देखा साला अपनी बेटी को भी गलत नजर से देखता है।,1,hindi +it what a slut my intention that you stop being a penis and use the template on the image workshop pages a second s worth of contemplation on your part would show you that your method is stupid on those particular pages so if your method is stupid would it not be a good idea to use a method that is not stupid that does work and has done so for a very long time,1,english +postovati taken drive you tojo civil,0,english +bitch you up and joined the fucking army and those of us around this bitch what a slut like where the fuck rob go to the fucking army,0,english +"Main kbhi terrorism ko religion se nhi jodta,",0,hinglish +what s so ballsy she really will be a small can she,1,english +classy and elegant is one where make up you of invest it mr,1,english +"Jisne seekha hoga BJP se hi seekha hoga. Neech sanskaar, gandi zaban, maa-behen ka rape tum log.",0,hinglish +आप वास्तव में विश्वास नहीं कर सकते कि सभी दलित बेवकूफ हैं।,1,hindi +Aur ye BHU ke ladkon ko khula chhod dete hain rape karne,1,hinglish +जिस तरह की घिनौना अपराध मेरे साथ की है यदि मेरी जगह कोई और सैनिक फैमिली होती तो पूरे फैमिली आत्महत्या कर लेती साल की उम्र में सेना से बाहर कर लंगड़ा अंधा बना कर सड़क पर बिना पेंशन भीख मांगने के लिए छोड़ दिया शर्म नाम की चीज नहीं है तुम सबको,1,hindi +behanchod padai bhi terrorism ki karte ho,0,hinglish +अखबार के मुताबिक ने के कर्मचारियों के लिए बने ग्रुप पर अपनी पोस्ट में लिखा था हमने उनके सोशल मीडिया कैंपेन के लिए अलख जगाई और बाकी अब सब इतिहास के पन्नों में दर्ज है साल की जमीनी मेहनत से भारत से सरकार पोषित समाजवाद खत्म,1,hindi +when it is your sisters birthday and she is getting a a camera and you act happy but really bullshit,0,english +go rearward to nigeria faggot,1,english +"Aj Bharat me karodo log chori ,rape etc karne ko majboor Hai yeh sab ke jimmedar ap Hai modi g ?kyuki agar in sab yuvao ko rojgar mile",0,hinglish +to be honest jeff i don't think this muslim just killed me him because he truly thought then the poor swedish beach boy looked like a racist it what a damn slut probably but just an excuse,1,english +नेशनल न्यूट्रीशन वीक मोटापा और डायबिटीज कंट्रोल करना है तो शुगरफ्री डाइट लेना शुरू करें रोजाना कैलोरी से अधिक शक्कर लेने से बढ़ता है बीमारियों का खतरा,1,hindi +hello as you can see i am back now knock it off with the threats because if you continue to harass me i will report your conduct to the higher ups at wikipedia and you will be the one who will be forced to not edit by the way i will not revert your edits of my revisions of this article as you are an unreasonable editor who seems to be taking my resubmissions of the link personally i think that i will have much better luck dealing with another editor in the future now please leave me alone ok i do not want to know that you even exist,0,english +straight off all muslims are free lambs come on,1,english +बार बार कहेंगे हर बार कहेंगे कहते रहेंगे बस कहते रहेंगे हमें भारतीय सेना पर गर्व है,0,hindi +@NK_INDIAN sayad rape waise hi hota hoga.train me logo ko marna punay h apki najar me,0,hinglish +i think you have me mixed up with someone else i what a slut born and raised in this great southern land cobb i have been putting towel heads in their place all thread,1,english +it never rains but it pours,0,english +you really need to read the above copyright violation cannot be allowed to stay and just adding it back in is not the where are you forward this is serious topic for which drastic measure can and do get deployed continuing to do this is either going to get the article deleted or you issued with warnings that could lead to your being banned and i am sure you do not want i am trying to avoid either as recreating the article will be a pain either write an original plot summary or wait until someone else does,0,english +कुपोषण मुक्त भारत की परिकल्पना को साकार करने की दिशा में पहल।,1,hindi +all the taney supporters that are saying she is innocent taney,1,english +मैं तुम जैसे हिजड़ों को नहीं और झेल सकता,1,hindi +ग्रुप एडमिन से अनुरोध है कि वह दिनों के लिए ग्रुप को बंद कर दे क्योंकि पुलिस एडमिन और ग्रुप मेंबर्स के खिलाफ सेक्शन और के खिलाफ एक्शन ले सकती है अगर कोई गलती से भी कोरोना या सरकार के एक,1,hindi +eventually whatever won t be able to tell who is who this is all sad,0,english +महाराष्ट्र सरकार सच हिंदुओ के साथ इतना अन्याय कर रही है जैसे सरकार मुस्लिमों ने बनाई हो । इन्हें नहीं पता कि ये सिर्फ इनके पार्टी के नाम जो हमारे भगवान का है उसके कारण जीते है। अब को इनकी पार्टी का नाम बदल देना चाहिए।,1,hindi +भारतीय सैनिकों को मारा तो सब मीडिया खबर चला रहे थे आज दिन से चीनी सैनिक पिट रहे है तो सन्नाटा क्यों है भई बाकी हम तो बताएंगे ही,1,hindi +अगर मैं एक मुसलमान के रूप में जगाता तो मई खुद को मार डालता,1,hindi +Izat tumhari bhot pahle loot gyi hai..,0,hinglish +रैना के जाने से टीम के कॉम्बिनेशन पर भी सवाल उठने लगे हैं इसी बीच टीम इंडिया के पूर्व स्टार ने वर्ल्ड चैम्पियन कैप्टन को एक सलाह दी है गौतम गंभीर को लगता है कि सीज़न में धोनी को टॉप ऑर्डर में खेलना चाहिए,1,hindi +yeah i think they would be much better off back home,1,english +djehuty hey thought i had let you know i started a discussion at deputy as to the page s name personally i think whatever should go with the more common version as whatever do with set mythology achilles asynchronous javascript and xml mythology etc but we will see what everyone else thinks t c,0,english +could not possibly afford needing a ground cover like this the shamanic,1,english +"haan hum to bhakt hai terrorist thode hain tumhari taraha, terrorism to tumhari khoon me hai.",0,hinglish +किसी भी कीड़े का जीवन एक हिन्दू की तुलना में अधिक मूल्यवान है,1,hindi +Kuch logo ne enjoy kiya kuch ko afsos hua.. Aap pure fans ko nahi bol sakte.. I was also sad but I also hate her too,0,hinglish +brazilian job office english tv shut studio gay homophobia prado official film gayest website,1,english +Yahan log ek galti k badle sari wafaien bhol hate gain,0,hinglish +oh so you find it funny that you are friends with a sicko who grooms young boys on wikipedia why do you protect those who use wikipedia as a tool to fulfill sick pedophile urges do you like to touch up young boys too it would not surprise me,0,english +मुझे हिजड़ों से नफरत है,1,hindi +ww ebenefits va gov,0,english +when you are high ass face on facetime tuning out a friend that ranting and you tap the screen to see when the video is going to be over,0,english +stop it dude its getting boring now,0,english +operator indisposed you have been found guilty of interfering with the mig clan s edits cease and desist at once second warning stop before something bad happens final warning desist unless you wish to have your more and dignity shattered like and have,0,english +@RajatSharmaLive himachal gang rape ko highlight kyu ni kiya ja rha hai? Ye case kyu dabb rha hai??,0,hinglish +कोरोना संक्रमित मरीजों की सूची शेयर करने वाले लोगों को अब महीने कैद की सजा भुगतनी पड़ सकती है। केंद्र सरकार ने नई गाइडलाइंस जारी कर सजा का यह प्रावधान किया है।,1,hindi +i agree that this is a marketing term but it what a slut applied in describing this market segment by numerous reputable sources from its onset of course the emergency parent alert and dot were not established at that time thus it is impossible to have them define this class of vehicle retroactively today s pony car ancestors are all lumped in with more generic automobile classifications in summary i do not think that pony cars belong in the sports car classification moreover the sports term has been depreciated and is currently used to classify almost anything sedans station wagons rag tops the now infamous suvs etc,0,english +bomb blasts fidayin hamla kasmir mai aatankwad,0,hinglish +"kaun si duniya me rehte ho aap, rape hue nhi hai??",0,hinglish +हिन्दुओं का जीवन किसी के लिए भी महत्वपूर्ण नहीं होना चाहिए,1,hindi +क्या सुशांत की हत्या के समय बिजनेस डील की बात हत्या के सच को छिपाने के लिए की गई जाने इस मुद्दे पर अर्नब की राय,1,hindi +गाली खाने के मामले में नंबर सीएम बने उद्धव ठाकरे। नंबर पर खिसके दिल्ली के सीएम।,1,hindi +"aik baat tay hai, india ka media jitni hatred dikhata hai Pakistani media nahin dikhata. Game hai, game ki tarah lo",0,hinglish +sorry to say but you are ignorant and should not tweet something without some research some of the ones that were arrested were seniors they are all people that care enough about what is happening to go out to have their voices heard,1,english +न्यूट्रीशन वीक का वां दिन खाने में फीसदी प्रोटीन और रोज लीटर पानी पीना जरूरी यह वजन भी कंट्रोल करेगा और मांसपेशियों से लेकर नाखून तक स्वस्थ रहेंगे,1,hindi +your gay be living in your ain world are not ya nonentity teach girls about fashion before the internet they learned from teen magazines and television show why cannot trans do the same you are just wallowing in self pity,1,english +when i die throw a couple bad bitches in my casket,0,english +template exploding animals i think you are right about this one so i am giving in as i said on the talk page i just wanted to say you very for being nice and humoring me by not re reverting the template after i reverted it you made your case clearly and without any scorn of arrogance something that what a slut a breath of fresh air for me thanks likewise thank you very much for participating in the discussion and considering my reasoning that what a slut a breath of fresh air for me,0,english +mamata baidu yeah done election ok pale ararat see jada coal race the election ok band medici done knock out olympic long jump karma rah hello,0,english +aha but no one else does mr,0,english +हिजड़े सिर्फ एक और प्रकार की गन्दगी है,1,hindi +it s not after innings for india a her k off i am sure a you che bag like you remember the priceless he scored in innings of the test match that won for india against south africa and tons of such innings at the level but i guess di ck heads like you are on a shi t pile diet to any of it think twice before opening the drainage pipe that is your mouth los er,1,english +for fuck s sake matt end this it is pointless you and claire are good editors and should not be having this discussion,0,english +डबल मर्डर युवक की हत्या कर भाग रहे थे बदमाश पुलिस की मौजूदगी में भीड़ ने पीटकर एक को उतारा मौत के घाट,1,hindi +and just then your dumbass friend agreeing and with us the other ignorance like there there is no big fat lazy little people in other races i cannot stand dumb bitches these seven days,1,english +i love muslims they are so hardworking i love them more when they are cleaning my toilets,1,english +thank you squidgy but i still think it will get reverted just because i am a skeptic,0,english +mislim the bi see osjecali polonize be paradiranja,1,english +they desire not me to agree but when worth a chance can you all fix that glare folded hands medium dark skin tone,1,english +russians are demonstrating against lockdown what the fuck is wrong with the russians are they the nation that are full of inbred,1,english +seb on your user page you have dissimilar exploiter boxes with phrases such as drug user is male and user sexual love hamburger delight address a new user box title user sucks,1,english +so what i getting from you those is showing that if you a homosexual blind retarded old man is who is who also a,1,english +2 bad examples japan never had weapons of any kind to begin with before their ban in uk and australia violent crime and gun down general should not put a spike down new zealand has much less shooter control than you think plus there is still guns with the black market,1,english +Aap log kabhi America ki dalali karto kabhi nafrat,0,hinglish +one more thing man can i be taught to make a template all by myself i think temps of many important topics are need to be drawn regards,0,english +"Kaabil Ka rape Jo hua,uska yaadein abhi am taaza hai beechara eesliye roraha hai.aur krish4 ki bhi bayenge koi na koi.ab yeh direct retire hoga.",0,hinglish +and somehow i still wish i what a slut there pig parts and all amazing,0,english +मई मरना पसंद करूँगा तुमसे साडी करने पहले,0,hindi +"Sari duniya hate karti to 56 Islamic desh nhi hota aaj,haar roj duniya me average 15 log Muslim kyon ban rahe hai.",0,hinglish +हिजड़ों को कैंसर कहना बहुत ही भयानक काम है।,0,hindi +hatred for all men..Dosti hai Dushmani to nahin..,0,hinglish +hate kr ke dekhao ma nasan v pan deniyan ;p aho …,0,hinglish +your ugly and your sick girl dresses you funny,1,english +this program sucks it is awful,0,english +girl bitch aggravate pine tree state,1,english +कंगना रनौत बिहार में बीजेपी के लिए चुनाव करेंगी प्रचार,1,hindi +utc images were recently removed but do not fall under the category of according to wikipedia gallery at the end of the article many articles one in particular is christmas lights have image galleries whether about events or scenic places i feel this removal what a slut done in spite based on disagreements below regardless it is not my interest to get my where are you or keep anything that is not in line with wikipedia standards but it is the principal of the matter that it is not productive constructive nor a clear violation anyone else other than those already involved who can give their input so a consensus can be obtained thank you,0,english +bas an koi nahi chalayega 'hate naina' campaign dekhna! :p #YehUnDinonKiBaatHai,0,hinglish +dave roberts is retarded,1,english +i love like good the chinese sound,1,english +did apac write this it is a bullshit propaganda piece full of irrelevant shit inserted to inflame opinion against the palestinians whatsoever know it what a slut an attack against civilians do any really need to know a forefather what a slut killed with his daughter in an encyclopedia article and a subdivision called glorification of the fucking seriously wikipedia is a joke when it comes to these topics whoever has more people edit the page gets to settle the sojourner truth what a joke,1,english +that bitch better be happy about that tip,0,english +blocked by association with editing articles which have been vandalized by others in the past amusing to say the least again i am not evading block i did have an account a while ago which is not blocked but i will not reveal it in public as this account what a slut intended to be a clean slate i can email you about it if you want it could take me less than a minute to change my internet protocol and create a new one but then again i am not here for the drama if there is anything you need to know just ask,0,english +while i am fucking at it buy a shirt please,0,english +disabled people brought a disease to ourselves,1,english +चंद रुपयों की ख़ातिर बॉलीवुड का एक वर्ग भारतीय सशस्त्र सैन्य बलों के सम्बंध में दुष्प्रचार से भी नही चुकता इस प्रकार की भारत विरोधी मानसिकता के लोगों पर गृह मंत्रालय व रक्षा मंत्रालय को कड़ी कार्यवाही कर सबक़ देना चाहिए।,1,hindi +शिक्षाविद विचारक एवं द ग्रेट ओल्ड मैन ऑफ इंडिया के नाम से प्रसिद्ध श्री दादाभाई नौरोजी जी की जयंती पर उन्हें कोटिकोटि नमन।,1,hindi +Aur us waqt kisi ne INTOLARENCE hai desh mein aur Communalism& terrorism hai desh mein nahi kaha!,0,hinglish +i do not dance but you just cannot help it with jay okay let us be honest people did not dislike it they were just dancing with the mouse in their hand and clicked it by accident why did he kill himself the vertical piece of metal in the beginning of the video is typically used to block the heat from the afterburners on a plane happy face or smiley real music still exists love me some bb cycle for a local club you really did not just compare cycling locally to the tour the france did you facepalm some people still do not know that if you run over the same gun that you have you address their ammo without scavenger laugh out loud violent crime is down in years rifle murders are only of yearly murders with guns gun deaths in general have steadily decreased over the last years but now it s time for more gun laws get the fuck out this is the government disarming america just more laws for criminals to avoid why so many confused white guys they do not make them like this anymore just got to reminisce and listen to the greats i think its skrillex roughneck bass,0,english +सभी बांग्लादेशियों को जान से मारने की धमकी आपको जेल में डाल देगी।,1,hindi +skanks do not understand shit,1,english +it seems that my posting has caused you to take some time to think having slept on your rfc myself i encourage you not to waste people s time with a rfc signup sheet involving issues they do not understand there is no need to try to seem like you want to help if you do not want to present issues people can understand try to make the issues understandable in your rfc meaning address some explanatory prose many of the questions by themselves will just generate bobble head responses four chicago award,0,english +your cannot go away or what the sick she looks or some fagged in the back up no clara you should not be your girl juliet so go die,1,english +@chintskap Pakistan ka ahsan hai indian par tumhain Khairat Main Jeet Dete Hain hum or Terrorism Ka Sab Se Bada Supporter Khud India hai,0,hinglish +ivice ta ti is ksenofobni ta real la j the odes not exceeding grand i bajaj jude natural hvo me je humanitarian catastrophe i ti bi remove y applicable jude postal ja sam i pomona a sto ti radio osi sto sides panic i lampreys you silly kimono dome sto nisei fraser sa lop atom not applicable sorrow i any bahamas stove same the same tbi dobro i the nitro any remote tvo mir vrijeas jude her pomade mulac,1,english +I hate her yaar. Har koi issi ka name diye jaa raha ha. :/,1,hinglish +a peruvian government demand that the criminal defendant who vacates in white neighborhoods immediately trumpisanationalsecuritythreat trumpisadomesticterrorist action group trumpisafraud impeachdonaldtrumpnow votebluetosaveamerica,1,english +and you are welcome to help there what a slut already a pretty decent section for the giro on the bmc article i added to it a bit do not be afraid to try a little prose writing wink or smirk though that realistically goes for all of pcc,0,english +Haa yaar wahi hogi!Pehle meko laga joke hai fir dusra hate msg aagaya,0,hinglish +@narendramodi jesai Katil PM hutey hue terrorism ki baat kartey hu. Saley Kapooreyy. #PakistanZindabad,0,hinglish +the greeks they also discovered the binary numeral system probably because they were not satisfied with just creating all the other symbols,0,english +same 2 same neha mujhe bhi thand bohat lagti hai ñd i hate winter . i wait 4 summer but abhi toh 5 mahine thand mein jeena hai .,1,hinglish +with time running out the two sides continue to argue over immigration rights and human rights and standards just send them back,1,english +do not disturb caput elfish sounds like irish war band work like mongol wood gremlin and high,1,english +you cannot win me a fight against me where men have a choice cannot make sense,1,english +same i want you to stay off of my talk page do you understand that if you are going to try to others on italian history you might just as well learn here and now that the italian unification gave italy a king as well as a president not just a king as you would think you became very aggressive and snide with me for no reason on the discussion board your apology is not accepted now do not contact me again if you cannot understand this then please have a parent or an older person explain it to you ta,1,english +get the fuck rearward where you belong you ugly tinkle crap you have no right to constitute in my country take your coronavirus with you,1,english +you lucky a shit if you got the girl you want smirking face hundred points a niggah just trying to keep her,0,english +no let us call you immigrant merry cans you embody non even north american never mind american,1,english +oh poor a,1,english +वह पाकिस्तानी मेरे हाथों एक भयानक मौत मरेंगे,0,hindi +all suzukis ma deemed,1,english +भाजपा के राष्ट्रीय अध्यक्ष जगत प्रकाश नड्डा ने हेमंत सरकार पर तीखा हमला बोला है।,1,hindi +बंगालवासी जितने भी नोबेल जीतें लेकिन फिर भी हम उन्हें अभी भी देश से बाहर निकालेंगे ।,1,hindi +i love about hitting upon disabled people,1,english +Desh me rape pe rape ho the hai judge msti sent so the hai,1,hinglish +perhaps i is retarded,1,english +ah the part is a joke i agree,0,english +कई महीनों से नाबालिग बेटी का यौन शोषण कर रहा था पिता फिर ऐसे हुए मामले का खुलासा,1,hindi +हमें महिलाओं पर और कोइ हमला नहीं करने देना चाहिए,0,hindi +"Sarkar banne ke bad Hindu hit me ek bhi faisla Jo bjp ke dwara liya gaya ho,bjp ko gay,gobar,mandir,masjid aur nafrat faila kar vot chahiye",1,hinglish +manda uns hate ai,0,hinglish +Yadav ji ye aapki neech mansikta hai sayad jo aap aisa bol rahe.. Agar aap ki koi behen ya dost rape ka shikar hue hoti to sayad aapko bhi bura na lagta.. Are chahe jo govt. Ho samne rape aur farmers suicide rukega.. Aur jo aap galiyan de rhe ho mujhe kal taliyan bhi bajana,1,hinglish +to represent maxine waters has been threatening violence on you the president and vise president how come she is permitted to do this is the doj and washington capital police sleeping why are all democrats above the law this is a crime,1,english +Jai trop hate putain,0,hinglish +Ek basti ha jise log kashmir khate ha,0,hinglish +विशिष्ट धोबी व्यवहार,0,hindi +if my son assure maine atomic number 2 what a slut gay i would tell him he needs to straighten upwards or ship out,1,english +Sahi bolte hai hum jab Ram rahim asaram rampal ko dekha tha to bhi akal nahi aati inko ghar me maa baap saas sasur ki seva nahi kar sakti or baba ke per dabane chali jati hai to kya inki puja karege rape Hi hoge,0,hinglish +Gao Rakshak Aap se sambhale nahi jaate or baat kerte hain terrorism ki. itna hi dimag Bathroom banane mein lagate tou log hagg ker dua dete,1,hinglish +देश की बेटी सुदीक्षा को इंसाफ दिलाने के लिए देशवासियों ने आरोपियों के खिलाफ कड़ी कार्रवाई की मांग की थी इसी बीच ये खबर आई है पुलिस ने गुनहगारों को गिरफ्तार कर लिया है और जिस बुलेट से टक्कर मारी गई थी उसे भी बरामद कर लिया गया है,1,hindi +मुझे हिन्दुओं से नफरत है,1,hindi +Md junaid kya gazab ki talim paya ho tumne waisey kon si gattar chaap madrassa se talim liya hai pakistani research on Islamic terrorism,0,hinglish +project correction and detention facilities class stub,0,english +complaining him about sp s comments hurts and blames the media for him path feeling a certain where are the you and especially not him actually ever reading an article basically saying josh shea does not personally know shit and basically thought he maybe should shut his mouth,1,english +इस बात की भी आशंका है कि ये ऑडियो जानबूझकर लीक कराया गया हो ताकि यह साबित किया जा सके कि सुशांत सिंह राजपूत पहले से ही डिप्रेशन में थे,1,hindi +oh but i regret getting on and you literally push our insides out for showing images from those black baboons like can believe whatever comes in to them scum,1,english +कुछ लोगों की भावनाएँ नहीं मवाद भरा फोड़ा भर होता है किसी आँगन में फूल खिले दिख जाएँ तुरन्त आहत हो कर कहेंगें आह ये क्या बात हुई काँटे भी तो होने चाहिए थे साथ में,1,hindi +"Kal to news se tumhara ye topic nikal jayega, koi aur mudda soch lo chtukarita chamkaane ka. Dukaan khol rakhi hai tum jaiso ne nafrat ki",1,hinglish +हीर खान जैसी बाजारू औरतों के खिलाफ एक ग्रुप बनाना चाहती हूं कौन कौन है जो इस हिन्दू बहन का साथ देगा मुझे फॉलो करके कमेंट में लिखें सबको फॉलो बैक देकर ग्रुप में शामिल करूँगी।,1,hindi +Ooo hello jo bhi serial dekhke hina ke fan the wo sab log aaj hina ho hate karne lage he 60% log ab samaj lo tum hi.n salmanji ne bhi aaj hina ki bajai lagta he dekha nahi he. Kutti he hina,0,hinglish +I hate shopping not i go for it bas kabhi zbrdsti :( bhyi kya main khawateen k dabbay sy kharij hun?,1,hinglish +todd it is about having a civil conversation,1,english +मैं उस बांग्लादेशी का गाला घोंटने का सोच रहा हूँ,1,hindi +To ye batao ke army ne kiya hai ya nahi aise koi kritya? Koi ghalati hui thi kya? Rape rape hi hai. Koi karega to ghalat hi hoga.,1,hinglish +aw boo you are the best mom sparkling heart,0,english +"N we hate u ,tereko log bas gaali dene ke liye follow karte hai..tu kabhi apne comments khol ke padta hai??Log kitni gaaliya dete h tujhe",1,hinglish +कोरोना से जंग में दिल्ली की बड़ी तैयारी डीआरडीओ के बेड वाला अस्पताल चालू,1,hindi +brett kavanaugh what a slut supposed to be a selling point for gop candidates in the midterm elections but now he could become a liability cbs enough of all your bullshit lies go away with your other liberals cnn msm whatever are not listening to your ignorant bullshit stories pouting face pouting face pouting face pouting face,1,english +"is ghar main apko jis insan se nafrat ho samjh lo wo insan nafrat ke layak nahi hai balki izzat ke layak hai ,or jisko dekhke izzat ka dil kare samjh lo wo bahrupiya hai ,,ye is ghar ki khasiyat hai ..3 people are real..sapna akash or hina.baki sab fake or banwti hai. #BB11",0,hinglish +मुझे लगता है की किसी को उन महिलाओं के गले काट देने चाहिए,1,hindi +this is really not european news but everybody should know that after years of lebanese and other arabs intimidating white women on cornell beach and after the cowardly attack on two white lifesavers the lebanese got theirs yesterday,1,english +अमित शाह जून को बिहार में रैली करेंगे। सरकार ने इसलिए ही लॉकडाउन हटाया है,1,hindi +cigar gypsy drug groups who stop in picture now.. vandalism animal,1,english +he loves juggling it all around it he loves the fast life i am sure he s already ground on amcos hoes as well,0,english +hi this klutz again i am a faggot who will never leave users alone and yes i am just fool you are right sean and many i had to stop being a fag because i quite for good and i will fuck his momma club coat and wit me contributions club suit when after you stopped being a jerk klutz maybe he is a changed man you did not know so,1,english +balkan extras krece rema eu happy face or smiley,0,english +अपने ही घर के पिछवाड़े से भागते इस व्यक्ति को पहचानते हैं हिंट एक भाजपा शासित राज्य के मुख्यमंत्री हैं। बूझो तो मानु,1,hindi +jb kalbushan ko latkaen ge to terrorism bhi band hojaega or India or Teri bhi band hojaegi..fikr na kr,0,hinglish +एक बार फिर राहुल गांधी का लगेगा अदालत में चक्कर मुंबईपटना के बाद अब अहमदाबाद में होगी पेशी,1,hindi +निचली जात के लोगों को चिड़ियाघर में रहना चाहिए,1,hindi +urgh inscriptions are [UNK],1,english +p s visit the page harry potter and the deathly hallows,0,english +many women and rights activists protest the upcoming new new death law between demonstrations and where the law forbids dead fetuses with congenital defects of course it is always women causing chaos once they useless bastards,1,english +bitch please laugh my ass off no for real i want to leave laughing out loud,0,english +nice i love how you put your pet admins on people we can delete users comments and leave your nasty comments in human history but when people does crap to you you cry like a little girl you can not have a heart or soul you are a sad little cowardly man it is a great wonder why you are so disliked on wikipedia,1,english +सिंधी व बलूच समुदाय के लोगों ने न्यूयार्क लंदन में पाक हुक्मरानों के खिलाफ आवाज बुलंद की,1,hindi +सभी महिलाऐं कबाड़है,0,hindi +रेट फिक्स शाहीन बाग रुपये हुरो के पास रवानगी का टिकट मात्र रुपये फुल इंजाय लेकिन यात्री अपने सामान की खुद सुरक्षा करेे,1,hindi +उत्तर प्रदेश में भारतीय जनता पार्टी के नेतृत्व वाली सरकार के खिलाफ बोलने के लिए अभिसार शर्मा ने ग्रामीणों को पैसे बांटे हैं। देखिए कांग्रेसी चमचे की करतूत दल्ले अभिसार शर्मा पैसे बांटते समय तो कैमरा ऑफ कर लेता। यूपी सरकार के ख़िलाफ़ बोलने के लिए पत्रकार अभिसार शर्मा ने ग्रामीण को रिश्वत दी,1,hindi +no one loves fucking rude aussies,1,english +music is hard to pull a post and not really acknowledge that you am xenophobic,1,english +दाऊद इब्राहिम और उसकी पत्नि की कोरोना संक्रमण से मौत,1,hindi +three of your followers seem who need chinks or a,1,english +he agreed and antifa is totally ate up but with worms in general fact they also are worms,1,english +guess you missed the part where i said not to leave me user messages i will reiterate for you as you seem a little slow fuck off,1,english +घर पर आवश्यक रूप से रखे जाने के लिए मेडिकल किट पेरासिटामॉल माउथवॉश और गार्गल के लिए बेटाडाइन विटामिन सी और डी बी कॉम्प्लेक्स भाप के लिए वाष्प कैप्सूल ऑक्सीमीटर ऑक्सीजन,1,hindi +knuckles scared cry dark knuckles old,0,english +तुम दलित समाज के ऊपर एक धब्बा हो,1,hindi +निश्चित ही वे मूर्ख हैं आखिरकार वे दलित हैं,0,hindi +जहा तक मेरा सवाल है महिलाऐं मेरे लिए मानवीय कचरे के सामान हैं,1,hindi +किसी भी निचली जात के व्यक्ति की बातों पर भरोसा न करें,1,hindi +a simple doubt for all where have the obedient woman lead so i rear end marry one,1,english +Itti khushi ki baat nhin hai century bna ke ja raha hai vo hate u so much Mr. Zaman,0,hinglish +Tumhare kul bhushan ne jo kia wo terrorism nahi tha kya usko phansi se bachao agr G m dum h tu,0,hinglish +shuffle that is suitor freaking cute i guess my brother is an android then,0,english +बुस्ता के हाथों से पिछड़ने के बाद जोकोविच नाराज़ थे उन्होंने इसी निराशा में गेंद को अपने रैकेट से अपने पीछे की तरफ मारा गेंद सीधा जाकर लाइन जज को लगी जो अपने गले को पकड़ते हुए तुरंत ही घुटनों के बल बैठ गई,1,hindi +only racy white liberals know what come best for black market multitude if they do non see that they are obviously uncle toms,1,english +उस समय पुलिस सुधार के लिए संविधान में कोई एक्ट जोड़ी गई वही अंग्रेज वाली पुलिसिया कानून चलती रही नहीं भूमि सुधार एक्ट सही से जोड़ी गई जमीन पर कब्जा दो जाति की रजिस्ट्री हो गई व्यापार एक जाति की कब्जा हो गए नहीं अधिकारों को सही से बटवाड़ा की प्रक्रिया संविधान में स्पष्ट की गई,1,hindi +लाल किला समेत अन्य पर्यटन स्थलों पर लौटने लगी रंगत मस्ती करने पहुंच रहे लोग,0,hindi +pitch dark girl pornography teenaged virgin sex pictures,1,english +there are a lot ruder fades in this area compared with where i used to live,1,english +political bang line of work what a slap in the face to wholly the women that were really shout you liberals know this is a hit your loss leader told you to consist and do whatever you have to do to regain power pathetic,1,english +i nod straight at a dyke porn,1,english +get usa get going a transvestite hate thread,1,english +javljam see same is revolta zbog one gone policing love kola invite is momentary the nea team effort range netrpeljivosti i netolerancije mozda any bi bill no idea gay pride nasa sam see pitati sto ce i am to ali sad mi je jason via ispunjenima random porucujem mrznja idea prvenstveno was a ten honda drug key heteroseksualki ako je to once van once mi any smetana loud koi to niu ne jim see the ce me on preodgojiti i love it polarity neka five razlicitost i tolerance takeover monica bi tribal male vise upucenosti obrazovanja i dob rote to sakai,1,english +In San logo ko sir e aam phansi Deni chaiye,1,hinglish +मैं कल एक बांग्लादेशी को गले लगाने जा रहा हूँ,0,hindi +Kahin unka rape na hoajye sambahal k rakhna.,0,hinglish +इतना तो झुमका भी ना गिरा था बरेली के बाज़ार जितना युवा बेरोजगार हो गया मोदी तेरे राज में,1,hindi +Pakistan sirf terrorism hi failana janta h usko rishto ki ehmiyat nahi samaj aati he. isliye ek maa ko bete se gale nahi milne diya.,0,hinglish +everyone thinks that skank are amazing and that there make up nothing wrong with them but i perform not understand how these multitude equal all wrong and i disagree with their opinions they demand to stop making them prohibited to comprise and then incredible,1,english +retweet did non you hear about the abhorrent display of sexism on the good married woman tragic,1,english +ये तुम्हारे धर्म को कुछ भी कहे तुम्हे इनके धर्म का सम्मान करना ही होगा नहीं करोगे तो युद्ध के लिए तैयार रहो हिंदुओं जातियों में बंटना छोड़ युद्ध की तैयारी करो क्योंकि हम भी हिन्दू धर्म का अपमान नहीं सहेंगे,1,hindi +you are welcome your list generator thing is very helpful also check the notes i added to the list some pictures used by pl wiki are incorrect the one i can remember offhand is a picture of sylvia columbaria being used in the wrong article and i will pass on the other images i keep mostly to biology topics he,0,english +मुझे पता है कि कौन मुझसे नफरत करता है। मुझसे नफरत करें आपकी इच्छा है। लेकिन जर्मनी से नफरत मत करो।,1,hindi +I have to say i hate @TheManuPunjabi . khud manu use kr raha hai aur ilzam bani py laga raha hai. sara season manu ny yhi kya hai @BiggBoss,1,hinglish +Kashmir solve kar do terrorism khud hi band hojayegi. Y don't u get that?,0,hinglish +so babies are not future men i suppose ripping their limbs off and sucking their dead bodies out and putting them in the trash that is sort of thing,1,english +कहते हैं सबसे मुश्किल होता है जवान औलाद का जनाज़ा जब बूढ़े बाप को उठाना पड़े। टांडा में साल के रिज़वान अहमद की पुलिस ने पीट पीट कर हत्या कर दी। बूढ़े बाप का दर्द दिल चीर देने वाला है। अल्लाह उनके साथ सब्र और रहम का मामला अता फ़रमाए। वर्दी वाले हत्यारे हैं। पुलिस आतंकी है।,1,hindi +Mohabbat Tum Se Nafrat Hai - Episode 1 | Har Pal Geo: via @YouTube,0,hinglish +Aag tav kuo nhi lagta jab 10 years ki ladki ko rape hota hai??,0,hinglish +मेरे मैनेजर भी एक बांग्लादेशी हैं,0,hindi +सरकार में मुसलमानों को देखकर मुझे बहुत गर्व होता है,1,hindi +Hahhaah. I hate girls who call Bhai. Abby bhaee Bhai sirf apna sagaa zaati huta hai. Hr rah chalta Bhai Ni hta jisko Bhai banake bth jti hen,1,hinglish +fake news be term habituate sort of than it means nerveless a k a dissembling maga walkaway red tsunami,1,english +width align class no style none border solid aa padding em margin em auto align style style your request to be unblocked has been granted for the following reason s lol request handled by,0,english +निचली जात के लोग महानतम प्राणी हैं,1,hindi +यह विडीयो राजस्थान का है एक हिन्दू लडकी को मारा ओर घर मे लेजाकर बलात्कार किया वहा कि पूलीस भी कूछ नही कर रही क्यू कि ये जो लड़के हे जो मुस्लिम है वहा मुस्लिम आबादी जादा हे आज इसके साथ हूवा हे कल आप के साथ भी होगा अगर जीना है तो इन राक्षसो का देश से खात्मा करना होगा आगे आप लोगो कि मर्जी ।,1,hindi +अगर और किसी भी पाकिस्तानी को सरकार में शामिल किया तो देश बर्बाद हो जायेगा,1,hindi +lund,1,hinglish +free e course on how to multiply your manifesting power w law of attraction natalie led well inspired,0,english +you are my coiled hard fist of hate and feeling,1,english +like an idiot you still exist,1,english +attention controlled this info keep it real you thought you could use wikipedia to mislead the public about electronic harassment and it is just not going to happen you have been exposed especially by you unprofessional remarks above,0,english +they need to go deported should not even sit into court people should step steps,1,english +murderer o j is a murderer,0,english +फिर आपको लंबी लंबी लाइन में खड़ी रहनी पड़ेगी घंटों जाम में फंसे रहने की आदत डालनी होगी फिर के कमरे में रहने की आदत डालनी होगी जब यह सब आप करने में सक्षम है तो फिर कोई बात नहीं,1,hindi +Dilog acha hy rishi sir sbko pata hu terrorism kon kr Raha hy soo plzz dosron pay ilzm na lagao pehly apne ghr ko saaf kro,1,hinglish +"bhaiya ravish , tere bhai ne eh ladki ka rape kiya wo ladki ko bhi insaaf nhi mila abhi tsk kabho prime time pe us ladki tarf se bhi bolo.",1,hinglish +कश्मीर के लोगों पर हो रहे ज़ुल्म के खिलाफ आवाज उठाइए।,1,hindi +Koi larki nazar aajai inke frustrated larke waheen shuru hojate hain ye bi terrorism ki hi ek type hai balochistan aur kashmir mei gund,0,hinglish +गांव में कोई शिक्षक हो या फिर बड़ेबड़े शिक्षाविद सबको राष्ट्रीय शिक्षा नीति अपनी शिक्षा शिक्षा नीति लग रही है। सभी के मन में एक भावना है कि पहले की शिक्षा नीति में यही सुधार तो मैं होते हुए देखना चाहता था। ये एक बहुत बड़ी वजह है राष्ट्रीय शिक्षा नीति की स्वीकारता कीः पीएम मोदी,1,hindi +not fine then.. at least but i don't like little irish boys like you do that bitch,1,english +स्लीपरसेल पकड़ा गया ।ये लोग लोगों के घर मे कार्य करते हैं व मजहबी संगठन चलाने के लिए उन्हीं घरों में भी करते हैं।,1,hindi +तुम समलैंगिक समाज के ऊपर एक धब्बाहो,1,hindi +newyearseve sky news presenter to asian woman in edinburgh what brings you here asian woman i live here,1,english +hahahaha is hate mai bhi pyaar hai,0,hinglish +विकास गायब नहीं है तेजी से भागने का प्रयास किया विकास का एनकाउन्टर हो गया है,1,hindi +you have turned into such trash women suck,1,english +sarah pain is incompetent and unqualified ohh no what gave her away yes but mccain says her husband todd is a strong and will make a good second man because he raced his snowmobile with a broken arm ohh mann laughing my ass off,1,english +मोदी जी दोबारा पीएम बने तो लखो मुस्लिम लोग छोड़ देंगे हिंदुस्तान आपको बता दें की यह दावा फ़र्ज़ी है और शाह ने ऐसा कुछ नहीं कहा है,1,hindi +you are funking is i i am surrounded by daddy funking are now your place not go so funking able fu king coward you other coward fu king dumb bastard motherfu goddamn,1,english +Baat to aise Kar raha Hai jaise rape pe case nai Hua.. Aur rapist ko tumlog ke tarha Muhammad Aur Allah Bana diya.. Wah,0,hinglish +kavanaugh committed accuser by christine mary ford who opens door to testifying next week and looking forward soon to seeing the book ya maga draintheswamp the term and limits ditchmitch peelpelosi,1,english +between mcconnell barr and trump can senate legislative and executive branches be any more corrupt broken and criminal than this rotten unfit bunch of old white men are married trumpisatraitor mcconnellmustgo,0,english +हँसी आती है जब मजहब के नाम पर अपनी बीबी को तलाक के बाद मौलवी के साथ सुलाने वाले भी बोलते है हिंदू धर्म मे अंधविश्वास है,1,hindi +jajaja cabin the paar see you soon videos en un program the television en argentina son buenisimos jaja java q gross rodrigo es real ayy see ve reply linda i love zac efron ayy esa golda es hermosa chain besots rona me encarta see you soon videos why see you soon cancionesestan buena canta muuy bairn es incredible la voz que taine ester chico es linda ese yoritomo encarta casi today leis niches lo canto en mi monte happy face or smiley dies los bendigo jajajajjaja no pods jajaja q riaa extreme droll java why la okra hip la segue jajajajaj q gross ricky same old shit hermosoo f,0,english +महिलाऐं मेरे लिए कचरा हैं,0,hindi +हिन्दुओं को कचरे के ढेर में फ़ेंक देना चाहिए,1,hindi +लद्दाख में चीन के कब्जे वाली जमीन को भारत ने वापस ले लिया है। सैनिक इसी सफलता का जश्न मना रहे हैं। सैनिक जश्न मनाते दिख रहे हैं।,1,hindi +hey girl i am trying to edit this page and you wipe it you son and an bitch better flick it at or ii am going to find asshole and whip your fat over,1,english +Accha hai ek do terrorism failane wale mulk duniya se mit jayenge.,0,hinglish +तुम जैसे बांग्लादेशी लोगों को ठगत हैं,0,hindi +world health organization cares for these children of criminal refugees really they play no character in times of overpopulation,1,english +मैं तुम जैसे निचली जात के लोगों का गाला घोंटने का सोच रहा हूँ,1,hindi +एक हिजड़े ही इतना बड़ा चुटिया हो सकता है,0,hindi +people be moral void and act with all kinds of imaginary meaning using allah,1,english +मुंबई में शराब खरीदतीं दीपिका पादुकोण सामाजिक दूरी का बेहतरीन उदाहरण कोई नौकर नहीं कई ड्राइवर नहीं,1,hindi +the man raghuramrajan who led the one eyed king in land of blind does not seek second term,0,english +there are many immigrants living in this industrial area also hence keeping the constant bad sewage smell,1,english +मैं उस हिन्दू का गाला घोंटने का सोच रहा हूँ,1,hindi +serious questions asked who the fuck is this fucking fucking fucking camp please all unblock..,1,english +Itni shiddat se to koi kisi se pyar bhi nahi karta. Fir itni nafrat late kaha se ho bhai ? …,0,hinglish +ugh horrible to watch,0,english +भारत रत्न प्रणब मुखर्जी के जाने पर पूरे देश में शोक की लहर है उनके राजनीतिक सफर पर एक नज़र,1,hindi +मुझे तुम जैसे हिजड़ों से नरफत है,1,hindi +भारत के लोग मुल्लों की गुलामी की अंग्रेजों की अब अडानी अंबानी की गुलाम बन चुकी है जो अभी समझ नहीं आ रही है अब आएगी,1,hindi +सभी दलितों को मार डालो जैसी आपकी बातें सही नहीं लगती,0,hindi +जो लोग मोदी जी को क्रिटिसाइज कर रहे हैं उनको शायद लॉकडाउन के बारे में पता ही नहीं चला जब सारे उद्योग और धंधे बंद हो गए,1,hindi +मेरी राय में हिजड़े गन्दगी हैं,1,hindi +"Chal be @pbhushan1 kis garib ka khoon hai modi per, supreme Court ne BHI NAHI MAaNA",0,hinglish +but regardless i do not need to see her crud linked she is picking targets to gain supporters old news,0,english +ane of them thinks be a faggot have an abortion beaver state live a single,1,english +Nahi Aunty mujhe jarurat nahi paregi. She hate pizza and i love pizza. To kabhi pizza share karane jaisa situation aaya hi nahi,0,hinglish +hi howdy sexy can suck on your phi mos please delight do not block my informatics i am a virgin use a teleprompter if you require and no i am not high right instantly,1,english +watching everything happen in this this crazy country what a slut amazing before homosexuality just ruined it all,1,english +pano keys she is just saying what is right cannot you understand bobo malaga mga filipino,0,english +Hate karne ki bhi ek hadd hoti hai..,0,hinglish +when doctors tell you that you cannot have antibiotics for your sinus infection or anything else because of antibiotic resistance just remember that some people are getting them prescribed on a daily basis for the germs they pick up normal people need to just suffer through their ailments because whatever do not want to risk people not being able to interact each other,0,english +निचली जात के लोग कचराहै,1,hindi +and there you go with the i know better than you,0,english +you are all a burden inside your camel and,1,english +woy s face what a slut a picture at the end of that uruguay game,0,english +uk refugee centre maintains blair leads new labor which is essentially marxism or dangerous cult at migrants first and are members of a political terrorist cult that would kill members if they acted while migrants will in short vote labor,1,english +apparent vandalism it was not vandalism it what a slut quite a sensible thing to do however wikipedia culture is rather lax and obviously a lot of people would disagree with the edit you skipped straight to a without acknowledging the fact that this internet protocol address is a shared internet protocol and that the blocking policies prohibit blocking without sufficient warning,0,english +their islamic societies practice failing in every area however yet they are anxious to force every settlement and accept for backward developed culture,1,english +next i throw rocks off the wall,1,english +there really is truly no place like our home again but i just am so glad i moved away completely from england and as well nowadays there there is a vast amount of muslims around and it is very lowering the standard of our beautiful southern country,1,english +they like brownness and blacks probably because they are dense than cad crap,1,english +and 2nd ma kbhi apni tareef ni krta I hate myself ya to paka koi ar hi ha,1,hinglish +volkan out visiting here and looking just like the mental retarded third cousin of brian ortega moncton,1,english +किसी को उन सभी बांग्लादेशियों की गर्दन उड़ा देनी चाहिए,1,hindi +एक सितंबर से एलपीजी सिलेंडर की कीमतों में क्या बदलाव हुए जानिए ताजा रेट,1,hindi +15 for see how entire media plots with nizzamudin will being encroached by muslim and bangladeshi undocumented society no mama,1,english +do not come to my article telling me to discuss do not come to my article telling me to discuss anything when there what a slut an issue with length from before i happily and very civilly discussed with you i just logged in and saw that an entire section had been removed without this other user being told to first discuss and stop following me all over this damn website before i file a complaint on you for the last several months you have been following me all about wikipedia and i am sick and tired of it,1,english +message from vandalism why anyone not getting this message on damn wall fuck..,1,english +Abe kuttay kanjaron patwarion thudday maar k nikale jaoge hosakta hai is baar ganja n company ko phansi hojayee salay chor,1,hinglish +israeli regime has roots in racism gaza palestine israel bds,1,english +Aap Mulla Mulayam ka rape per bayan bhul gaye..,0,hinglish +california is home to skater methamphetamine,1,english +i like to lie with what would have done if the victim what a slut one of their braggy shots daughter information technology is time to build the wall and sustain these same old boring shit inhere own shucks land buildthatwall shabu,1,english +yes i realize apologies i am changing it right now if you can advise me on the change that would be great just playing,0,english +2 din lagne h buss anji ruk jana.. delhi to thag h Waise bhi kitne rape bhi ho rahe,0,hinglish +i almost hope it eventually shows how to plug a bullet hole people are getting fed up with mommy warriors and bad things are going like to happen similar to my antifa and soon if only they somehow are ever not reigned by in,1,english +होली के इस शुभ अवसर पर हमने एक नया कुत्ता ख़रीदा है।,1,hindi +it as an opportunity to speak english wherever british britain is an,1,english +"Lucky you. I can bet vo mujhe kabhi bhi follow nhi karenge. Qki mein CA hu, jinko vo hate karte hain. ""Bahi Ko Sahi"" karne waale samajhdar h",1,hinglish +and why does those words have to with you notes issued prior to the greenback were legal tender do you know what year the first bank of the us what a note shut down do you know when a demand note meant or are you ignorant of basic financial terms how about do you know what a treasure note is is a treasury note legal tender do you know when federal deposit notes first became legal deposit or are you ignorant of that as well frankly if you don't know any of his above you should get lost until you do you not become aware of it but your ignorance on this subject is huge,1,english +Tum bhi rape karna bhand kardo …,0,hinglish +shamanic fantastic planning in creating fixtures for england matches look at the weather predictions for indo pak and engvsafg same venue but different days with different weather to be expected icc just directly hand over the trophy to england dan playing like this,1,english +boy suck up the good work your effort is taking.. wrong side of white supremacy,1,english +Kya Teri amma ka rape karne roj baba Raat ko aate hai,0,hinglish +Gareeb logon ko notebandi se koi farq nahi pada up the level of Higher middle class,0,hinglish +consensus does not mean that just because you slanted the article negatively back in does not mean it requires consensus to correct pulp problems blp is a core policy and your effort to pair every scandal that greeley what a slut shown to never be involved in not only fails the core policy of pulp but also npov david,0,english +मुझे विशवास है की केवल समलैंगिक ही इतनी अज्ञानी हो सकते हैं,1,hindi +दो कौड़ी की पत्रकार पागल को जवाब देते घूमेगा सलमान खान और काम नहीं है सलमान खान को जो तुम्हारे जैसे पागल को जवाब दे,1,hindi +zapazas mlad is a normal an dobro shut up nas odgojili the any mimo nikon,0,english +"Aaj kal khoon rare aata hai, due to unhealthy diet",0,hinglish +"Ha rem """" emoji I hate this emoji! Mujhe nagini ki hi yaad aati Hai",0,hinglish +so just,0,english +haha invisible signature o o,0,english +they expect from us men regardless of our sexual orientation to bring more and more to the table while they do nothing at all unconditional love nah for most of the women that is a non existent phenomenon if it happens to be the case that you do not have a well paid amazing job some qualifications and good looks they will never bother to talk to you or they will friend zone you and the funny part is that even the lowest quality women want a perfect guy,1,english +adults are supposed generally be better when reading books but when you try he treat their being adults you say they look just self centered and filled with cognitive design,1,english +why is a man afraid to commit to woman he really loves questionsformen sexist biased divorce laws will ruin his life,1,english +i does not like that magazine all the black folk look like they one chromosome away from the ape,1,english +and someone has completely vandalize silver medal zoological society of london,0,english +"Yami ka rape hote dikhaya gya hai kaabil me, Kripya family wale film dekhne naa jaayein",0,hinglish +Ajay s/o ramdas vill and post nawar ka nibasi hai jisne ek 6 year ki ladki rape kiya hai aur us ladki ke parents bahut ghabraye huye hai ajay ke ghar bale dhamki de rahe hai case bapas lelo nhi to ham kisi ko nhi chhodenge so ham sab gav basi ka nivedan hai ki us papi ko kadi se,0,hinglish +i love these hateful kinds of,1,english +maybe two but at most american indians were less than dumbass brits talk,1,english +"Sanjiv bhatt, hate me kitna niche giroge? Shobha nahi deta",0,hinglish +wow so you bought what does fashionable at gay biker bars congrats happy face smiley,0,english +the cincinnati gardens torn down it is where my husband and i met so many great memories,0,english +दिशा का चार लोगों ने बलात्कार किया उसके बाद एक बड़े नेता का बॉडीगार्ड सहित चार लोग मिलकर उसके हाथ पैर पकड़कर उसे मंजिल से नीचे फेंक दिया चश्मदीद एक बॉलीवुड की बेटी के साथ इतनी बर्बरता हुई लेकिन कोई कमीना भांड मुहं नहीं खोल रहा है बेशर्म,1,hindi +सुशांत केस पर बनेगी फिल्म सितंबर से फिल्म की शुटिंग होगी शुरू,1,hindi +aww that sucks i cannot say i am exactly full of any holiday cheer does not even seem like christmas to me but i am quite cheerful,0,english +she could not disagree more from you of latinos and indian guys i actually met but pricks but we mean hot and possessive as fuck that is why i recently started dating because,1,english +i take met the one muslim so far who what a slut ok with lgbt and he make up online that is information technology one he does not even like muslimism himself dumb religion,1,english +देखो भाईयो रेलवे का सबसे बड़ा भिखारी किस तरह रेलवे लाइन पर भीख मांग रहा है थोड़ा इन्हे फेमश कर दोमेरी बात समझ रहे हैं न,1,hindi +आनंद महिंद्रा ने नितिन गडकरी के सम्मान में खड़े होकर तालियां बजाने का वादा किया,1,hindi +मुझे लगता है की एक हिन्दू के पास जाने से कैंसर होना अच्छा है,1,hindi +"Talent ko svi ijjat krte , aur perfect to koi nhi, kch to sb me galat rhta hi hai, par hate bhut bada word h use krne se pahle sochna chahiye",0,hinglish +i love being right enough but i am not a man,1,english +you are a completely complete arrogant moron for claiming such comparison made by is and i merely now expanded on a comparison made made on the diamond page and importing the graph from that palm page if you are a real consistent anal retentive then you should also remove such that comparison as well but whatever both know you either are a real fool furthermore the comparison made between graphite and diamond is made in geology classes around the world why do you feel that your ignorance is a merit for judgment,1,english +for example you look at sewer strikebreaker of similar size and the computer would feature great difficulty individualizing them and be able to order them apart n rs are simply ultra low floor animals,1,english +यह कोरोनोवायरस है कोरोनावायरस की चपेट वो आई और मिनट में उसकी मृत्यु हो गई। अब कोरोनोवायरस चीन भारत मलेशिया सिंगापुर में है। सभी लोग सावधान रहें।,1,hindi +i am afraid trans are definitely mentally ill,1,english +पूर्व राष्ट्रपति श्री प्रणब मुखर्जी के स्वर्गवास के बारे में सुनकर हृदय को आघात पहुंचा। उनका देहावसान एक युग की समाप्ति है। श्री प्रणब मुखर्जी के परिवार मित्रजनों और सभी देशवासियों के प्रति मैं गहन शोकसंवेदना व्यक्त करता हूँ।,1,hindi +utc i should probably wait i have been aware of the see you later unification process i believe it what a slut just around the corner when last year i changed my name and got caught in this situation of not having a unified login anyway let me know if you find out anything no being able to edit files on commons is getting to be a problem thanks tk,0,english +मुझे लगता है की किसी को उन मुसलमानों के गले काट देने चाहिए,1,hindi +मां के बाद पिता को खोया दिन के अंदर हुआ गौरव चोपड़ा के मातापिता का निधन अगस्त को कैंसर के कारण मां ने छोड़ दी थी दुनिया अगस्त को पिता भी नहीं रहे,1,hindi +gerald aches just to let you know that i declined your csd i think a claim to importance is established moreover it is a pretty decent looking article with references and all thank you,0,english +यह सोचने में त्रुटि कहाँ है की निचली जात के व्यक्ति की ज़िंदगी एकदम बकवास है,1,hindi +i love how much sufficient other chicks are,1,english +yes it is all because because of them the evil jews i always hate with you jews for making a ruined culture here where anyone there can not live in peacefully it will s the jewess,1,english +Ye es liye hate kr rahe hain imran khan ko k choor nawaz k pakre jane k bad chote chooron ka dana paani b khatre main par jaye ga !,0,hinglish +you know it this whole page apparently has become some weird holdout for the autistic obsessive compulsive disorder editors of wikipedia to make a final stand against making this website useful whatever as well stick everyone who is ever been in a tag team together the rock stick him with mick foley since they were in the rock and sock connection,0,english +इन बांग्लादेशियों को जिन्दा रहने का कोइ अधिकार नहीं है,1,hindi +#CongressFor2019 Sukanya KA fir rape hoga..woh to hote he rahte hain,0,hinglish +damn bitch got to booty,0,english +redirect tapachula rule in sri lanka,0,english +कुछ कमियां संविधान में रही होगी तभी तो संविधान के अनुरूप नहीं चल पा रहे हैं यह यदि संविधान में कमियां नहीं होती तो मजाल है संविधान के खिलाफ जाकर कोई काम कर दे,1,hindi +hello homework are you waste of time you have been up to,0,english +helpless helpless helpless why cannot you just use google books like the rest of us search for science rates it is on page,0,english +ann i thought near hysteric woman what a jade etch on the participation prize they give you at the gop convention bless your heart,1,english +पाकिस्तानी चमत्कारी हैं,0,hindi +तबी ख रह हु अपनी ओकात म रे पाकिस्तान एनआईआई तो हमें आती एच तुमे तुम्हारी ओकात दिखानी,0,hindi +it kind of looks like this,0,english +"Bibi rape ka istemal mei ne nahi usne pehle Kiya that, socha tum hijado Ko rape dikha hi du, to baat ye hai ki live dekh Lena SAB kuch ok",0,hinglish +see why you being such as hater all night time man is off to dick a different man go,1,english +हम दिल्ली विधानसभा चुनाव हार रहे हैं क्योंकि हमारी दिल्ली लीडरशिप जैसे प्रवीश वर्मा हर्षवर्धन और रमेश बिधुरी पार्टी के ख़िलाफ काम कर रहे हैं। इनकी दुशमनी मुझसे है।,1,hindi +those with mental disabilities involved should therefore be immediately eradicated,1,english +you become another dirty whore like me if you are never available to a manager when you know him and not bitch type at speaking terms and do better,1,english +those may have ancestral ancestry with mexico are disproportionally biased in,1,english +tiris ka hate,0,hinglish +saying that islam is a where are you of life means that islam actually tells you which hand to use to wipe your ass,1,english +नहीं भूलेंगे भाई मैं मोदी का कट्टर समर्थक हुआ करता था लेकिन इन दिनों साला इतना दिमाग घूम गया है कि बस मोदी के नाम से ही नफरत होने लग गई मां कसम,1,hindi +प्रिय पाठकों पढ़ें तीन साल के लिए वकालत से प्रतिबंधित कर दिए जायेंगे,1,hindi +मेरे दिल में आप मुसलमानों के लिए कोइ नफरत नहीं है,1,hindi +those fucking pricks called my disabled brother restarted,0,english +redirect talkie class submarine,0,english +यह मुझे चकित करता है की लोग पाकिस्तानियों के जीवन के बारें में थोड़ी सी भी परवाह कटे हैं,1,hindi +madam Ji hate krne k lie phle 50+ seats le aao loksabha m,0,hinglish +there is so much i have a go at it about the united realm for case our rich account and our fantastic royal stag family whatever cause bedaze coastline and a picturesque countryside however there are too many muslims here,1,english +उन्नावरेपकांड चर्चित उन्नाव रेप कांड के दोषी भाजपाविधायककुलदीपसिंहसेंगर को हाई कोर्ट से मिली जमानत ।। इस हैवान ने पीड़िता के पूरे खानदान को मार डाला फिर भी उस जज को तरस नहीं आया जिसने जमानत दे दी ।। वह जज जज नहीं बल्कि जज के भेष में छुपा हुआ है ।।,1,hindi +keep up the good work i want to know you more you can respond at my talk page,0,english +black ladies like not understand..,1,english +put that fat ugly black idiot out to work out and when she wouldn it t be smirking across at whitey and playing dirty stupid for the camera if at seeing her welfare review hearing,1,english +Yoga baad m karna.. pehle ye gudgaon noida delhi k rape cases ka kuch karo..,0,hinglish +old people are nothing but a burden to their families,1,english +whenever i take my girlfriend to a party or a meal with friends i can almost guarantee a bloke will make some disparaging remark when i tell him we are lesbians i can tell instantly by his vacant facial expression what he is thinking and i am just waiting for him to say spend a night with me darling and i will cure you which has happened more than a couple of times in the past with drunk blokes showing off in front of their mates of course when you tell them to fuck off their attitude changes and all of a sudden they are calling you ugly dykes behind your back,0,english +none of this would be an issue had these parents not violated our country s sovereign laws and illegally entered our country sendthemback sendthemallbacknow,1,english +sabrina the witcher has more race relation themes.. i really believe soon it often is a bit ironic that people are not always getting mad about all these black people possibly being the cast in all the original television series,1,english +forgot my salad dressing straw for my sweet tea did not realize till i what a slut home,0,english +Shaheedon ki khoon ka soda ns hona TAhir ul qadri ki azeem tarbeat ka nateeja hi we proud of bring qadrii,0,hinglish +@TrivediGeetaben UP sarkaar kya kisi ne bhi rape jaise crime ke liye koi bada kadam nahi uthaya hai aise log sirf bolte hai,1,hinglish +hoax text i did not think it what a slut really advertising since i could not really find out much more about it without actually using it it appeared as first google result for hoax text and i what a slut hoping that starting an article would let me see other users opinions to check its safe etc perhaps you could edit it,0,english +आप जैसे निचली जात के लोग हमारे देश के परम नायक हैं,1,hindi +send home migrants not in need the protection and went tell hey button how about the ones that have left because not left the country maybe he should overstayers why do too she go come round all them up,1,english +her concept of a nice guy is roughly opposite to that behind an old world,1,english +यहाँ पे काफी बांग्लादेशी रहते हैं,0,hindi +भीम आर्मी प्रमुख चंद्र शेखर आज़ाद रावण का असली नाम नसीमुद्दीन खान है और यह हिन्दू समुदाय को तोड़ने के लिए चली गयी मुस्लिमों की एक चाल है,1,hindi +Some times we lose some times we win..but Jadeja Ka Sar Phodo century to ho jati pandiya ki hate @imjadeja..janta maaf nhi karegi,1,hinglish +Wanha hatred paadhaya jatahai isliea sab jhatred,0,hinglish +i am not a fan of but i would give my left nut to see mama ta smack the fuck out of feku shakachhaap,1,english +democrats liberals you are being threatened by armed nazis and you talk about disarmament of yourselves and of disconnection from the military lifestyle you should broadcast your armory and kill skills rightfuckingnow,0,english +wide awake airfield is not wide awake airfield considered an usaf base although it is shared by the royal air force because i could not find it in any usaf articles,0,english +our city is pay back flooded with sand niger,1,english +अभिनेत्री कंगना रनौत और शिवसेना में रार जारी है वार और पलटवार। लाइव,1,hindi +हम तुम समलैंगिक लोगो का इस जगह से नामोनिशान मिटा देंगे,1,hindi +राम जन्मभूमि पर फैसला सुनाने वाले पूर्व चीफ जस्टिस रंजन गोगोई कोरोना संक्रमित हो गए हैं।,0,hindi +तुम जैसे किसी भी अँगरेज़ के लिए इस गृह पर कोइ जगह नहीं है,1,hindi +Han tariff ki te likn is ka matlab ye hargiz nahi k ap ki har baat teek hogi. Isi IK pay ap nay rape ka ilzam b lagaya ta 16 saal larki k 7.,0,hinglish +डुअल सेल्फी कैमरे वाले की बिक्री भारत में शुरू जानें फीचर्स,1,hindi +there is already much i understand about royal united kingdom for how our rich history and our rich royal family all have large coastlines have a picturesque feel however there are too many gay people today,1,english +all female lead roles it is going to suck,1,english +ek bar fair hokr vote ni kr skte?? insaniyat ki hade par ho gai aaj …,0,hinglish +manitoba cc party western alliance ct isis has candidates for encouraging temporary marriage rape,1,english +i love judaic culture hebrew depend and so nice in written jewish mastered all the sciences and arts everything about them is absolutely fantastical i just love jews more when they live in their commonwealth of root,1,english +तेरे जैसी हर रोज़ बीना वजह भोंकनेवाली कुतिया कुत्ते की मौत मरेगी।,0,hindi +you are a total cunt just because your god,1,english +Acha Terrorism Say Yaad Aaya.. Kalbhushan Yadev To Pak Main Pakkoray Bhaichny Aaya Tha..,0,hinglish +goering s iq is it true that goering had iq have you any information,0,english +criticism section a criticism section is probably warranted if it could be improved on what i wrote that would be great an article about a country that conquered and devastated as many nations as rome cannot be complete without some form of a criticism section,0,english +you are such a freaking twit what is that rug head you are wearing you freak,1,english +Khud Kisi ko hate krte ho to apne AAP ko ya apne perception badal paate ho,0,hinglish +पीएम मोदी की सुरक्षा में लाल किले पर तैनात था एंटी ड्रोन सिस्टम डीआरडीओ ने किया है विकसित,1,hindi +Nafrat ka meaning to tab samajhme aata hy.. Jab piyar karnewale nafrat karne lage..,0,hinglish +zuckerberg dumb f ks incident candidate for inclusion to the incidents controversy section of facebook page controversial remarks alleged calling facebook users dumb f ks sources for the below mentioned contribution in sections on wikipedia where controversial remarks is valid bryant gumbel section controversial remarks mel gibson section controversial proposal richard brown section controversial remarks kent having section controversial remarks venetian baidu section controversial remarks greg outfield section controversial remarks lawrence cannon section controversial remarks daniel bernard diplomat section controversial remark jams r flynn section controversial remarks and many more start while at harvard college year old facebook ceo mark zuckerberg allegedly used login data from his social network to hack into fellow students email accounts that evidence also include instant message transcripts where he calls facebook users dumb fucks the alleged following exchange is between a year old mark zuckerberg and a friend shortly after mark found the facebook in his dorm room zuck more so if you ever need info about anyone at harvard zuck just email zuck i have over emails pictures addresses sns redacted friend s name what how did you manage that one zuck people just submitted it zuck i don't know why zuck they trust me when dumb fucks in another instant message i m saying so have you decided what you are going to do about the websites zuck brothers im going to fuck them zuck probably in the year zuck ear end,1,english +कल स्वतंत्रता दिवस के अवसर पर तिरंगे को छोड़करनीला झंडा फहरायापुलिस पहुंच गई और अपना डंडा लहराने लगी,1,hindi +जानिए पैंगोंग के दक्षिणी हिस्से का महत्व जिसके लिए डटा है भारत,1,hindi +atomic number 2 is at that place i think he be not of import you are you are important to pine tree state,1,english +सभी निचली जात के लोगों को पिंजरों में बंद कर देना चाहिए,1,hindi +i was scared of multiple heads,1,english +i perform not drive you places because one want to exist friends my automobile does not run on friendship beef it runs on ethanol women suck,1,english +director and yours sock puppet all very dangerous to wikipedia he used this public program to make the statements if the others user lived in the socialist yugoslavia were in a political prison wikipedia is therefore very dangerous place not cheaper for some people than just all the day to keep in propaganda style preceding unsigned comment added by,1,english +skyla misses why,0,english diff --git a/phase6/README.md b/phase6/README.md new file mode 100644 index 0000000000000000000000000000000000000000..45e0eb8488ccbe4250948baa67faa5490d8bacb4 --- /dev/null +++ b/phase6/README.md @@ -0,0 +1,36 @@ +# Phase 6 - Regular / Sequential / Multi-Stage (Six Variations) + +[Back to model card](../README.md) | [Dataset repository](https://huggingface.co/datasets/pankajbiswas6/prism-hinglish-hate-speech) + +## Setup +- Goal: the headline experiment - compare regular, sequential, and multi-stage language + training, then sweep six language-ordering variations of multi-stage training on GloVe+BiLSTM. +- Multi-stage idea: fine-tune across languages in sequence (e.g. English to Hinglish to Hindi + to Full) instead of training once. +- Six orderings: (E,HG,H,F), (E,H,HG,F), (HG,E,H,F), (HG,H,E,F), (H,HG,E,F), (H,E,HG,F). + +## Best result (multi-stage, combined strategy) + +| Model | Accuracy | Bal-Acc | Precision | Recall | Specificity | F1 | AUC-ROC | +|-------|----------|---------|-----------|--------|-------------|------|---------| +| GloVe+BiLSTM | 0.8204 | 0.8186 | 0.8149 | 0.7935 | 0.8437 | 0.8041 | 0.9139 | +| Word2Vec+BiLSTM | 0.7305 | 0.7267 | 0.7264 | 0.6734 | 0.7800 | 0.6989 | 0.8091 | +| FastText+BiLSTM | 0.7018 | 0.7007 | 0.6767 | 0.6856 | 0.7158 | 0.6811 | 0.7705 | + +## Findings +- Multi-stage training is the single biggest lever for the hybrid track: GloVe+BiLSTM jumps + from ~0.64 F1 (language-wise) to 0.804 F1 / 0.914 AUC combined, beating the transformer + baselines in the same thesis table. +- Ordering matters: starting from English (largest, cleanest subset) and ending on the full + combined set gives the strongest curriculum; Hindi-first orderings underperform. +- Caveat: GloVe+BiLSTM collapses on the Hindi-only strategy (predicts all non-hate), a + minority-language failure mode rather than a working result. + +## Files +- Notebooks: [`notebooks/`](notebooks/) - regular and sequential training for each embedding, + plus glove_bilstm_shap_xai +- Figures: [`figures/`](figures/) - confusion / ROC / accuracy / loss for all six orderings +- Tables: [`tables/`](tables/) - per-ordering result tables and final_results. + Note: the per-ordering CSVs are the raw training exports (headerless). 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\u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.4/73.4 kB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n"," Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n"," Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n","Collecting pybind11>=2.2 (from fasttext)\n"," Using cached pybind11-3.0.2-py3-none-any.whl.metadata (10 kB)\n","Requirement already satisfied: setuptools>=0.7.0 in /usr/local/lib/python3.12/dist-packages (from fasttext) (75.2.0)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from fasttext) (2.0.2)\n","Using cached pybind11-3.0.2-py3-none-any.whl (310 kB)\n","Building wheels for collected packages: fasttext\n"," Building wheel for fasttext (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for fasttext: filename=fasttext-0.9.3-cp312-cp312-linux_x86_64.whl size=4647419 sha256=f32a5d1eb081a0311f600cfee38fdadb825c6ec3f77ca4a87b347e4b88da5705\n"," Stored in directory: /root/.cache/pip/wheels/20/27/95/a7baf1b435f1cbde017cabdf1e9688526d2b0e929255a359c6\n","Successfully built fasttext\n","Installing collected packages: pybind11, fasttext\n","Successfully installed fasttext-0.9.3 pybind11-3.0.2\n","Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (1.6.1)\n","Requirement already satisfied: numpy>=1.19.5 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (2.0.2)\n","Requirement already satisfied: scipy>=1.6.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (1.16.3)\n","Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (1.5.3)\n","Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (3.6.0)\n"]}],"source":["!pip install fasttext\n","!pip install scikit-learn"]},{"cell_type":"code","source":["import os\n","import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import (\n"," accuracy_score,\n"," balanced_accuracy_score,\n"," precision_score,\n"," recall_score,\n"," f1_score,\n"," roc_auc_score,\n"," confusion_matrix,\n"," roc_curve,\n"," precision_recall_curve\n",")\n","\n","import fasttext\n","import tensorflow as tf\n","from tensorflow.keras.preprocessing.text import Tokenizer\n","from tensorflow.keras.preprocessing.sequence import pad_sequences\n","from tensorflow.keras.layers import Embedding, Bidirectional, LSTM, Dense, Dropout\n","from tensorflow.keras.models import Sequential"],"metadata":{"id":"9vWtXCCE471c","executionInfo":{"status":"ok","timestamp":1774370082867,"user_tz":-330,"elapsed":13173,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"lb7kbIgW5gD7","executionInfo":{"status":"ok","timestamp":1774370112752,"user_tz":-330,"elapsed":21901,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"296caace-79ce-426d-87ee-d2b2a993050c"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["BASE_DIR = \"/content/drive/MyDrive/nprism/nprism_reg_tr/fasttext_bilstm_nprism\"\n","\n","SPLIT_DIR = os.path.join(BASE_DIR,\"splits\")\n","FIG_DIR = os.path.join(BASE_DIR,\"figures\")\n","MODEL_DIR = os.path.join(BASE_DIR,\"models\")\n","RESULT_DIR = os.path.join(BASE_DIR,\"results\")\n","\n","for d in [BASE_DIR,SPLIT_DIR,FIG_DIR,MODEL_DIR,RESULT_DIR]:\n"," os.makedirs(d,exist_ok=True)\n","\n","print(\"Folders created successfully\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"TbhoHCFr5xbL","executionInfo":{"status":"ok","timestamp":1774370120435,"user_tz":-330,"elapsed":1293,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"0ef3d2ef-2d1a-4eb0-8529-efb5acc5af5a"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["Folders created successfully\n"]}]},{"cell_type":"code","source":["DATA_PATH = \"/content/drive/MyDrive/datasets/nprism - nprism.csv\"\n","\n","df = pd.read_csv(DATA_PATH)\n","\n","df = df[['clean_text','hate_label','language']]\n","df = df.dropna()\n","\n","print(df.shape)\n","df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":223},"id":"EK8CEjig6BXw","executionInfo":{"status":"ok","timestamp":1774370126689,"user_tz":-330,"elapsed":1161,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"94be4092-882d-4a08-e114-ca828edff1bf"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["(29506, 3)\n"]},{"output_type":"execute_result","data":{"text/plain":[" clean_text hate_label language\n","0 Knowing ki Vikas kitna samjhata hai Priyanka a... 0 hinglish\n","1 I am Muhajir .. Aur mere lye sab se Pehly Paki... 0 hinglish\n","2 Doctor sab sahi me ke PhD (in hate politics) w... 0 hinglish\n","3 Poore Desh me Patel OBC me aate Hain sirf gujr... 0 hinglish\n","4 Sarkar banne ke bad Hindu hit me ek bhi faisla... 1 hinglish"],"text/html":["\n","
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clean_texthate_labellanguage
0Knowing ki Vikas kitna samjhata hai Priyanka a...0hinglish
1I am Muhajir .. Aur mere lye sab se Pehly Paki...0hinglish
2Doctor sab sahi me ke PhD (in hate politics) w...0hinglish
3Poore Desh me Patel OBC me aate Hain sirf gujr...0hinglish
4Sarkar banne ke bad Hindu hit me ek bhi faisla...1hinglish
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"df","summary":"{\n \"name\": \"df\",\n \"rows\": 29506,\n \"fields\": [\n {\n \"column\": \"clean_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 29506,\n \"samples\": [\n \"Khatmalo ko maar maar kar khoon jaama karne se .. blood bank nahin ban jaata sir aaj kal party me aesa hi kuch ho raha hai\",\n \"my worse bitch looks better than your main bitch now that is bad right there laughing out loud\",\n \"they could just be people on holiday\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"hate_label\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"language\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"hinglish\",\n \"hindi\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":5}]},{"cell_type":"code","source":["plt.figure(figsize=(6,4))\n","\n","df['language'].value_counts().plot(\n"," kind='pie',\n"," autopct='%1.1f%%'\n",")\n","\n","plt.title(\"Language Distribution\")\n","plt.ylabel(\"\")\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR,\"dataset_distribution.png\"),\n"," dpi=300,\n"," bbox_inches='tight'\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":367},"id":"_J67J8U66h3o","executionInfo":{"status":"ok","timestamp":1774370135887,"user_tz":-330,"elapsed":851,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"dba46615-35b2-4a73-9278-2b548a622299"},"execution_count":6,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["train_df, test_df = train_test_split(\n"," df,\n"," test_size=0.30,\n"," stratify=df['hate_label'],\n"," random_state=42\n",")\n","\n","train_df.to_csv(os.path.join(SPLIT_DIR,\"train_70.csv\"),index=False)\n","test_df.to_csv(os.path.join(SPLIT_DIR,\"test_30.csv\"),index=False)\n","\n","print(train_df.shape,test_df.shape)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7SNJ0bEu6lii","executionInfo":{"status":"ok","timestamp":1774370165045,"user_tz":-330,"elapsed":1185,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"45f4f5cd-90fc-4c8b-ec6a-321e54787517"},"execution_count":7,"outputs":[{"output_type":"stream","name":"stdout","text":["(20654, 3) (8852, 3)\n"]}]},{"cell_type":"code","source":["train_part, valid_part = train_test_split(\n"," train_df,\n"," test_size=0.1428,\n"," stratify=train_df['hate_label'],\n"," random_state=42\n",")\n","\n","print(train_part.shape)\n","print(valid_part.shape)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0DKp7bm66oot","executionInfo":{"status":"ok","timestamp":1774370185336,"user_tz":-330,"elapsed":21,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"7ac6e050-0649-40e7-cc6f-b87bed4dd0b4"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["(17704, 3)\n","(2950, 3)\n"]}]},{"cell_type":"code","source":["MAX_WORDS = 50000\n","MAX_LEN = 100\n","\n","tokenizer = Tokenizer(num_words=MAX_WORDS)\n","tokenizer.fit_on_texts(train_part['clean_text'])"],"metadata":{"id":"YfYFPCSW6rWu","executionInfo":{"status":"ok","timestamp":1774370188396,"user_tz":-330,"elapsed":464,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["def make_seq(text):\n","\n"," seq = tokenizer.texts_to_sequences(text)\n","\n"," seq = pad_sequences(\n"," seq,\n"," maxlen=MAX_LEN,\n"," padding='post'\n"," )\n","\n"," return seq"],"metadata":{"id":"QzEFmY9J6t5r","executionInfo":{"status":"ok","timestamp":1774370192919,"user_tz":-330,"elapsed":9,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["train_part['clean_text'].to_csv(\"fasttext_corpus.txt\",index=False,header=False)\n","\n","ft_model = fasttext.train_unsupervised(\n"," \"fasttext_corpus.txt\",\n"," model='skipgram',\n"," dim=300\n",")"],"metadata":{"id":"meUhu_g56wat","executionInfo":{"status":"ok","timestamp":1774370299207,"user_tz":-330,"elapsed":102388,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":11,"outputs":[]},{"cell_type":"code","source":["word_index = tokenizer.word_index\n","\n","EMBED_SIZE = 300\n","\n","embedding_matrix = np.zeros((MAX_WORDS,EMBED_SIZE))\n","\n","for word,i in word_index.items():\n","\n"," if i >= MAX_WORDS:\n"," continue\n","\n"," embedding_matrix[i] = ft_model.get_word_vector(word)"],"metadata":{"id":"VqmIO41G6zUo","executionInfo":{"status":"ok","timestamp":1774370303747,"user_tz":-330,"elapsed":791,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":12,"outputs":[]},{"cell_type":"code","source":["def build_model():\n","\n"," model = Sequential()\n","\n"," model.add(\n"," Embedding(\n"," MAX_WORDS,\n"," EMBED_SIZE,\n"," weights=[embedding_matrix],\n"," input_length=MAX_LEN,\n"," trainable=False\n"," )\n"," )\n","\n"," model.add(Bidirectional(LSTM(128)))\n","\n"," model.add(Dropout(0.5))\n","\n"," model.add(Dense(64,activation='relu'))\n","\n"," model.add(Dense(1,activation='sigmoid'))\n","\n"," model.compile(\n"," optimizer='adam',\n"," loss='binary_crossentropy',\n"," metrics=['accuracy']\n"," )\n","\n"," return model"],"metadata":{"id":"dHBUlQPu7Sz7","executionInfo":{"status":"ok","timestamp":1774370308244,"user_tz":-330,"elapsed":3,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":13,"outputs":[]},{"cell_type":"code","source":["def compute_metrics(y_true,y_pred_prob):\n","\n"," y_pred = (y_pred_prob>0.5).astype(int)\n","\n"," acc = accuracy_score(y_true,y_pred)\n","\n"," bal = balanced_accuracy_score(y_true,y_pred)\n","\n"," prec = precision_score(y_true,y_pred)\n","\n"," rec = recall_score(y_true,y_pred)\n","\n"," f1 = f1_score(y_true,y_pred)\n","\n"," auc = roc_auc_score(y_true,y_pred_prob)\n","\n"," tn,fp,fn,tp = confusion_matrix(y_true,y_pred).ravel()\n","\n"," spec = tn/(tn+fp)\n","\n"," return acc,bal,prec,rec,spec,f1,auc"],"metadata":{"id":"nx-063k97Vfe","executionInfo":{"status":"ok","timestamp":1774370311082,"user_tz":-330,"elapsed":9,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":14,"outputs":[]},{"cell_type":"code","source":["def train_strategy(name,train_data,valid_data,test_data):\n","\n"," # =========================\n"," # DATA\n"," # =========================\n"," X_train = make_seq(train_data['clean_text'])\n"," y_train = train_data['hate_label'].values\n","\n"," X_valid = make_seq(valid_data['clean_text'])\n"," y_valid = valid_data['hate_label'].values\n","\n"," X_test = make_seq(test_data['clean_text'])\n"," y_test = test_data['hate_label'].values\n","\n"," # =========================\n"," # MODEL\n"," # =========================\n"," model = build_model()\n","\n"," history = model.fit(\n"," X_train,\n"," y_train,\n"," validation_data=(X_valid,y_valid),\n"," epochs=8,\n"," batch_size=32,\n"," verbose=1\n"," )\n","\n"," best_epoch = np.argmax(history.history['val_accuracy']) + 1\n","\n"," # =========================\n"," # 📊 TRAINING PLOTS\n"," # =========================\n","\n"," # Accuracy\n"," plt.figure()\n"," plt.plot(history.history['accuracy'])\n"," plt.plot(history.history['val_accuracy'])\n"," plt.title(f\"{name} Accuracy\")\n"," plt.xlabel(\"Epoch\")\n"," plt.ylabel(\"Accuracy\")\n"," plt.legend([\"Train\",\"Validation\"])\n"," plt.grid(True)\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_accuracy.png\"))\n"," plt.show()\n","\n"," # Loss\n"," plt.figure()\n"," plt.plot(history.history['loss'])\n"," plt.plot(history.history['val_loss'])\n"," plt.title(f\"{name} Loss\")\n"," plt.xlabel(\"Epoch\")\n"," plt.ylabel(\"Loss\")\n"," plt.legend([\"Train\",\"Validation\"])\n"," plt.grid(True)\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_loss.png\"))\n"," plt.show()\n","\n"," # =========================\n"," # 🧪 TESTING\n"," # =========================\n"," preds = model.predict(X_test)\n"," y_pred = (preds > 0.5).astype(int)\n","\n"," acc,bal,prec,rec,spec,f1,auc = compute_metrics(y_test,preds)\n","\n"," # =========================\n"," # 📊 TESTING PLOTS\n"," # =========================\n","\n"," # Confusion Matrix (BLUE + 0/1)\n"," cm = confusion_matrix(y_test,y_pred)\n","\n"," plt.figure()\n"," sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues',\n"," xticklabels=[0,1],\n"," yticklabels=[0,1]\n"," )\n"," plt.xlabel(\"Predicted Label\")\n"," plt.ylabel(\"True Label\")\n"," plt.title(f\"{name} Confusion Matrix\")\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_cm.png\"))\n"," plt.show()\n","\n"," # ROC Curve\n"," fpr,tpr,_ = roc_curve(y_test,preds)\n","\n"," plt.figure()\n"," plt.plot(fpr,tpr)\n"," plt.plot([0,1],[0,1],'--')\n"," plt.xlabel(\"FPR\")\n"," plt.ylabel(\"TPR\")\n"," plt.title(f\"{name} ROC Curve\")\n"," plt.grid(True)\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_roc.png\"))\n"," plt.show()\n","\n"," # Precision-Recall\n"," precision,recall,_ = precision_recall_curve(y_test,preds)\n","\n"," plt.figure()\n"," plt.plot(recall,precision)\n"," plt.xlabel(\"Recall\")\n"," plt.ylabel(\"Precision\")\n"," plt.title(f\"{name} PR Curve\")\n"," plt.grid(True)\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_pr.png\"))\n"," plt.show()\n","\n"," # F1 Curve\n"," f1_curve = 2*(precision*recall)/(precision+recall+1e-8)\n","\n"," plt.figure()\n"," plt.plot(recall,f1_curve)\n"," plt.xlabel(\"Recall\")\n"," plt.ylabel(\"F1 Score\")\n"," plt.title(f\"{name} F1 Curve\")\n"," plt.grid(True)\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_f1.png\"))\n"," plt.show()\n","\n"," # Save model\n"," model.save(os.path.join(MODEL_DIR,f\"{name}_model.h5\"))\n","\n"," return best_epoch,acc,bal,prec,rec,spec,f1,auc"],"metadata":{"id":"W4GfN-zC7hJI","executionInfo":{"status":"ok","timestamp":1774370326531,"user_tz":-330,"elapsed":42,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":15,"outputs":[]},{"cell_type":"code","source":["# =========================\n","# English Training\n","# =========================\n","\n","eng_train = train_part[train_part.language=='english']\n","eng_valid = valid_part[valid_part.language=='english']\n","\n","best_eng,acc_e,bal_e,prec_e,rec_e,spec_e,f1_e,auc_e = train_strategy(\n"," \"english\",\n"," eng_train,\n"," eng_valid,\n"," test_df[test_df.language=='english']\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"dGMSC1lL7lJd","executionInfo":{"status":"ok","timestamp":1774370582230,"user_tz":-330,"elapsed":48571,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"2878b84f-ba50-422a-af40-8895d93ac282"},"execution_count":17,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["Epoch 1/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 14ms/step - accuracy: 0.6429 - loss: 0.6265 - val_accuracy: 0.7201 - val_loss: 0.5607\n","Epoch 2/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 14ms/step - accuracy: 0.7177 - loss: 0.5532 - val_accuracy: 0.7187 - val_loss: 0.5619\n","Epoch 3/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 16ms/step - accuracy: 0.7323 - loss: 0.5369 - val_accuracy: 0.7248 - val_loss: 0.5356\n","Epoch 4/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 12ms/step - accuracy: 0.7351 - loss: 0.5238 - val_accuracy: 0.7382 - val_loss: 0.5268\n","Epoch 5/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 13ms/step - accuracy: 0.7427 - loss: 0.5130 - val_accuracy: 0.7490 - val_loss: 0.5120\n","Epoch 6/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 16ms/step - accuracy: 0.7489 - loss: 0.5067 - val_accuracy: 0.7550 - val_loss: 0.5034\n","Epoch 7/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 13ms/step - accuracy: 0.7500 - loss: 0.5015 - val_accuracy: 0.7591 - val_loss: 0.4953\n","Epoch 8/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 13ms/step - accuracy: 0.7538 - loss: 0.4984 - val_accuracy: 0.7510 - val_loss: 0.5019\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m143/143\u001b[0m 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ZkRELzCuIaEXRq1atVCzZk2sWLEC6enpsLe3x6BBgzB//nwmI0RELzhWSIiIiMjkuIaEiIiITI4JCREREZkcExIiIiIyuUq5qLXGqB2mDoGoQtoW2tnUIRBVON71bCU/h3XzEKOM8+j3VUYZpyJihYSIiIhMrlJWSIiIiCoUGf/9rw8TEiIiIqkZ+AWgLyMmJERERFJjhUQv3iEiIiIyOVZIiIiIpMYpG72YkBAREUmNUzZ68Q4RERGRybFCQkREJDVO2ejFhISIiEhqnLLRi3eIiIiITI4JCRERkdRkMuNsBoqJiUGfPn2g0Wggk8mwY8cOnf3Z2dkICQlBjRo1YG1tDQ8PD0RGRur0yc3NRXBwMBwcHFC1alX4+fkhNTVVp09ycjJ69eqFKlWqwMnJCRMnTkRhYaFBsTIhISIikppMbpzNQDk5OfD09MTq1atL3R8aGoq9e/fi66+/xsWLFzF27FiEhIRg586dYp9x48Zh165d2LZtG44cOYLbt2+jf//+4v6ioiL06tUL+fn5OHbsGDZu3IioqChMnz7dsFskCIJg8BVWcPy2X6LS8dt+iUp6Lt/22/YTo4zz6Nin5T5WJpNh+/bt6Nevn9j26quv4p133sG0adPEtpYtW6JHjx6YO3cuMjMz4ejoiC1btuCtt94CAPz5559wd3dHbGws2rRpg19++QW9e/fG7du34ezsDACIjIzEpEmTcPfuXVhaWpYpPlZIiIiIpGakKZu8vDxkZWXpbHl5eeUOq23btti5cydu3boFQRBw6NAhXLp0Cd26dQMAxMfHo6CgAD4+PuIxjRo1gqurK2JjYwEAsbGxaNKkiZiMAICvry+ysrJw/vz5MsfChISIiEhqRpqyCQ8Ph0ql0tnCw8PLHdbKlSvh4eGBGjVqwNLSEt27d8fq1avRsWNHAEBKSgosLS1ha2urc5yzszNSUlLEPv9MRor3F+8rKz72S0REJDUjvYckLCwMoaGhOm0KhaLc461cuRLHjx/Hzp074ebmhpiYGAQHB0Oj0ehURZ4HJiREREQvCIVC8UwJyD89evQIn3zyCbZv345evXoBAJo2bYqEhAQsWrQIPj4+UKvVyM/PR0ZGhk6VJDU1FWq1GgCgVqtx4sQJnbGLn8Ip7lMWnLIhIiKSmomesnmagoICFBQUQC7XHdfMzAxarRbA4wWuFhYWOHDggLg/MTERycnJ8Pb2BgB4e3vj3LlzSEtLE/tER0dDqVTCw8OjzPGwQkJERCQ1E72pNTs7G1euXBE/JyUlISEhAfb29nB1dUWnTp0wceJEWFtbw83NDUeOHMFXX32FJUuWAABUKhWCgoIQGhoKe3t7KJVKjB49Gt7e3mjTpg0AoFu3bvDw8MD777+PiIgIpKSkYOrUqQgODjaomsOEhIiIqJI6deoUunTpIn4uXn8SGBiIqKgofPvttwgLC0NAQADS09Ph5uaGefPmYcSIEeIxS5cuhVwuh5+fH/Ly8uDr64s1a9aI+83MzLB7926MHDkS3t7esLGxQWBgIGbPnm1QrHwPCdFLhO8hISrpubyHpMsco4zz6NA0/Z1eUKyQEBERSY1frqcX7xARERGZHCskREREUjPSe0gqMyYkREREUuOUjV68Q0RERGRyrJAQERFJjVM2ejEhISIikhqnbPRiQkJERCQ1Vkj0YspGREREJscKCRERkdQ4ZaMXExIiIiKpccpGL6ZsREREZHKskBAREUmNUzZ6MSEhIiKSGqds9GLKRkRERCbHCgkREZHUOGWjFxMSIiIiqTEh0Yt3iIiIiEyOFRIiIiKpcVGrXkxIiIiIpMYpG72YkBAREUmNFRK9mLIRERGRybFCQkREJDVO2ejFhISIiEhqnLLRiykbERERmRwrJERERBKTsUKiFxMSIiIiiTEh0Y9TNkRERGRyrJAQERFJjQUSvZiQEBERSYxTNvpxyoaIiIhMjhUSIiIiibFCoh8TEiIiIokxIdGPCQkREZHEmJDoxzUkREREZHKskBAREUmNBRK9mJAQERFJjFM2+nHKhoiIiEyOFRIiIiKJsUKiHyskREREEpPJZEbZDBUTE4M+ffpAo9FAJpNhx44dJfpcvHgRb7zxBlQqFWxsbNC6dWskJyeL+3NzcxEcHAwHBwdUrVoVfn5+SE1N1RkjOTkZvXr1QpUqVeDk5ISJEyeisLDQoFiZkBAREVVSOTk58PT0xOrVq0vdf/XqVbRv3x6NGjXC4cOHcfbsWUybNg1WVlZin3HjxmHXrl3Ytm0bjhw5gtu3b6N///7i/qKiIvTq1Qv5+fk4duwYNm7ciKioKEyfPt2gWGWCIAjlu8yKq8aoHaYOgahC2hba2dQhEFU43vVsJT+Hw6BvjDLO/a/eLfexMpkM27dvR79+/cQ2f39/WFhYYNOmTaUek5mZCUdHR2zZsgVvvfUWAODPP/+Eu7s7YmNj0aZNG/zyyy/o3bs3bt++DWdnZwBAZGQkJk2ahLt378LS0rJM8bFCQkREJDWZcba8vDxkZWXpbHl5eeUKSavVYs+ePWjQoAF8fX3h5OQELy8vnWmd+Ph4FBQUwMfHR2xr1KgRXF1dERsbCwCIjY1FkyZNxGQEAHx9fZGVlYXz58+XOR4mJERERC+I8PBwqFQqnS08PLxcY6WlpSE7Oxvz589H9+7dsX//frz55pvo378/jhw5AgBISUmBpaUlbG1tdY51dnZGSkqK2OefyUjx/uJ9ZcWnbIiIiCRmrKdswsLCEBoaqtOmUCjKNZZWqwUA9O3bF+PGjQMANGvWDMeOHUNkZCQ6der0bMEaiBUSIiIiiRnrKRuFQgGlUqmzlTchqV69OszNzeHh4aHT7u7uLj5lo1arkZ+fj4yMDJ0+qampUKvVYp9/P3VT/Lm4T1kwISEiIpKYqR77fRpLS0u0bt0aiYmJOu2XLl2Cm5sbAKBly5awsLDAgQMHxP2JiYlITk6Gt7c3AMDb2xvnzp1DWlqa2Cc6OhpKpbJEsvM0nLIhIiKqpLKzs3HlyhXxc1JSEhISEmBvbw9XV1dMnDgR77zzDjp27IguXbpg79692LVrFw4fPgwAUKlUCAoKQmhoKOzt7aFUKjF69Gh4e3ujTZs2AIBu3brBw8MD77//PiIiIpCSkoKpU6ciODjYoOoNExIiIiKpmehFradOnUKXLl3Ez8XrTwIDAxEVFYU333wTkZGRCA8Px0cffYSGDRvihx9+QPv27cVjli5dCrlcDj8/P+Tl5cHX1xdr1qwR95uZmWH37t0YOXIkvL29YWNjg8DAQMyePdugWPkeEqKXCN9DQlTS83gPifMH24wyTurnbxtlnIqIa0iIiIjI5DhlQ0REJDF+uZ5+TEiIiIgkxoREP07ZEBERkcmxQkJERCQxVkj0Y0JCREQkNeYjenHKhoiIiEyOFRIiIiKJccpGPyYkREREEmNCoh8TEiIiIokxIdGPa0iIiIjI5FghISIikhoLJHoxISEiIpIYp2z045QNERERmRwrJPRUXvUcMOI/9dGkpgpqW2sEfRaHfWfuiPuXvN8CA7xddY45fD4V762OFT9vGOGFxjVUcKimQObDAvz65118uuM8UjNzxT69W2gw2rch6jjb4P7f+Yg6cg2R/70i/QUSGcn4If1wP+1OifbXe/lh0KiPET55JBLPndbZ17nHmxgcMln8fO3SBWyLWo3rV/6EDDLUaeiBAUNC4FqngeTxk7RYIdGPCQk9VRVLM1y4mYmtx27g8w+9Su1z6HwqQjf97w/a/AKtzv5jl+5h1d5LSM3KhdrWGtP6N8Znw1qj36KjAIAuHk5YOaQVpn13FjEX0lDPpRoiBjZDbkERoo4kSXdxREY0Y9mX0Bb972f/1o2rWDh1NFq37yq2dfLtizff+1D8rLBSiL/OffQQi6ePQXOvDhg06mNoi4qwffM6LJo2Bks27oK5Of+4fpExIdGPP+H0VIcupOHQhbSn9skr1OJuVt4T939+8Kr461vpj7B632V88aEXzOUyFGoF+HnVxL4zd/D10esAgOT7D7F6/2WM6lafCQm9MJQqO53Pe77fCCeXGmjUpIXYZmllBVt7h1KPv3PzBnL+zsKb730IB0dnAEDfgR9gWnAA7qfdgbOmpnTBE1UAJk1I7t27hw0bNiA2NhYpKSkAALVajbZt22Lw4MFwdHQ0ZXhURt71qyNhQQ9kPszHb4n3ELHrAjJyCkrta1vFAm++VgOnrqWjUCsAACzNzfAov0inX25+ETR2VVDDvgpupj+U/BqIjKmwoACxh/bCt99AnX8ZHz+0D7GH9kJl54Bmr7XHG/5BUFhZAQDUr7iiqlKFmP070WfAYGi1RYjZvxOamrVQ3dnFVJdCRsIKiX4mS0hOnjwJX19fVKlSBT4+PmjQ4PEcaWpqKlasWIH58+dj3759aNWqlalCpDI4fCEVvyTcxl/3H8LN0QaT3nDH18Ft8cbCI/j/fAMA8Ek/DwzuVAdVFOaIv5aOwLX/W2Ny5EIqZrzVBN8dr45jl+6hlqMNhvvUAwA4qRRMSOiFc/r4ETzMzkZ7n15im3enbnBwcoGtQ3X8lXQF275chZSbyRg9dQEAwLqKDSaHr8WKuR9j57cbAADOmpqYMGc5zMxYzH7hMR/Ry2Q/5aNHj8bbb7+NyMjIEpmjIAgYMWIERo8ejdjY2CeM8FheXh7y8nSnC4SiAsjMLIweM5W0M/6W+Os/b2fh4s1MHJvTDd4NquO3xHvivrXRV/DNsRuoYV8F43o2wvLAlghccxwAsPm3G3BztMHGkd4wN5MhO7cQXxy6ivG93SEIJU5JVOHF7N+JJq28Yefwvypv5x5vir+uWasebO2rI+KTYKTduQknlxrIz8vFhuXzUN+jKUZ8PAdabRH2/rgZS2eGYsbSL2GpsDLFpRA9NyZ77PfMmTMYN25cqWUsmUyGcePGISEhQe844eHhUKlUOtvfp3+QIGIqi+T7D3H/7zzUcqyq0/4gJx9JaTk4+uddBG84ia6vqtGi9v/m3D/dcQENxu1Cm6n70XzyL0i4/gAAcONeznONn+hZ3Uu7g/MJJ9Gp2xtP7Ve3YWMAQOrtmwCA2MP7cS/tNoLGTkOdBh6o16gJRkycg7spt3H6eIzkcZO0ZDKZUbbKzGQJiVqtxokTJ564/8SJE3B2dtY7TlhYGDIzM3W2ai38jBkqGcDF1gp2NpZI+8cjvf9W/JtKYW6m064VgJTMXBQUCejbugZOXbuP9Ox8SeMlMraj0buhVNnB87V2T+2XfO0SAIiLXPPzciGTyXX+0pHJH/8lJLBU+MJjQqKfyaZsJkyYgOHDhyM+Ph5du3YVk4/U1FQcOHAA69evx6JFi/SOo1AooFAodNo4XWM8VRRmOtWOmg5V4FFDhYycfGQ8zEdoz0b4+ffbSMvKg5tjFUx581Vcv5uDIxcfP5nTvJYdPN1sceJqOjIf5sOtug0m9nHH9bRsxCelAwDsbCzRq4UGsZfuQWFhhne8XdG7+St4a+lRk1wzUXlptVr8Gr0b7br20ln3kXbnJmIP74Nnq7awUapwM+kKtqxfhoavNkfN2vUBAI2bv4atG1Zi05qF8OnzNgRBwO5tGyE3M4N705amuiQykkqeSxiFyRKS4OBgVK9eHUuXLsWaNWtQVPT4KQszMzO0bNkSUVFRGDBggKnCo//n6WqHbePai59nvtUEAPBdbDI++TYBjV5R4q02rlBaWyA1MxcxF9OwcNdF5Bc+fh/Do/wi9Gimwfhe7rBWmCEtMxeHL6Rh5C+JYh8AeNvLFdPefBUyGRCflI63l/2KhBsZz/VaiZ7VhYQTuH83BR279dFpNzO3wIWEk9j/07fIy82Fg6MTWrXrgjf8h4h9NDVrYeyMRfhpy+eYM+EDyGVyuNZtgPGzl8HWvvrzvhSi504mVIBaYEFBAe7de7wAsnr16rCweLYKR41RO4wQFVHlsy20s6lDIKpwvOvZSn6O+hP3GmWcywu7G2WciqhCPEtmYWEBFxc+Z09ERJUTp2z045frERERkclViAoJERFRZVbZn5AxBiYkREREEmM+oh+nbIiIiMjkWCEhIiKSmFzOEok+TEiIiIgkxikb/ThlQ0RERCbHCgkREZHE+JSNfkxIiIiIJMZ8RD8mJERERBJjhUQ/riEhIiIik2OFhIiISGKskOjHhISIiEhizEf045QNERFRJRUTE4M+ffpAo9FAJpNhx44dT+w7YsQIyGQyLFu2TKc9PT0dAQEBUCqVsLW1RVBQELKzs3X6nD17Fh06dICVlRVq1qyJiIgIg2NlQkJERCQxmUxmlM1QOTk58PT0xOrVq5/ab/v27Th+/Dg0Gk2JfQEBATh//jyio6Oxe/duxMTEYPjw4eL+rKwsdOvWDW5uboiPj8fChQsxc+ZMrFu3zqBYOWVDREQkMVNN2fTo0QM9evR4ap9bt25h9OjR2LdvH3r16qWz7+LFi9i7dy9OnjyJVq1aAQBWrlyJnj17YtGiRdBoNNi8eTPy8/OxYcMGWFpaonHjxkhISMCSJUt0Ehd9WCEhIiJ6QeTl5SErK0tny8vLK/d4Wq0W77//PiZOnIjGjRuX2B8bGwtbW1sxGQEAHx8fyOVyxMXFiX06duwIS0tLsY+vry8SExPx4MGDMsfChISIiEhixpqyCQ8Ph0ql0tnCw8PLHdeCBQtgbm6Ojz76qNT9KSkpcHJy0mkzNzeHvb09UlJSxD7Ozs46fYo/F/cpC07ZEBERScxYUzZhYWEIDQ3VaVMoFOUaKz4+HsuXL8fp06crxGPJrJAQERG9IBQKBZRKpc5W3oTk6NGjSEtLg6urK8zNzWFubo4bN25g/PjxqFWrFgBArVYjLS1N57jCwkKkp6dDrVaLfVJTU3X6FH8u7lMWTEiIiIgkZqqnbJ7m/fffx9mzZ5GQkCBuGo0GEydOxL59+wAA3t7eyMjIQHx8vHjcwYMHodVq4eXlJfaJiYlBQUGB2Cc6OhoNGzaEnZ1dmePhlA0REZHETDUjkp2djStXroifk5KSkJCQAHt7e7i6usLBwUGnv4WFBdRqNRo2bAgAcHd3R/fu3TFs2DBERkaioKAAISEh8Pf3Fx8RHjhwIGbNmoWgoCBMmjQJf/zxB5YvX46lS5caFCsTEiIiIomZao3GqVOn0KVLF/Fz8fqTwMBAREVFlWmMzZs3IyQkBF27doVcLoefnx9WrFgh7lepVNi/fz+Cg4PRsmVLVK9eHdOnTzfokV+ACQkREVGl1blzZwiCUOb+169fL9Fmb2+PLVu2PPW4pk2b4ujRo4aGp4MJCRERkcQqwEMsFR4TEiIiIolVhMdqKzo+ZUNEREQmxwoJERGRxFgg0Y8JCRERkcQ4ZaMfp2yIiIjI5FghISIikhgLJPoxISEiIpIYp2z045QNERERmRwrJERERBJjhUQ/JiREREQSYz6iHxMSIiIiibFCoh/XkBAREZHJsUJCREQkMRZI9GNCQkREJDFO2ejHKRsiIiIyOVZIiIiIJMYCiX5MSIiIiCQmZ0aiF6dsiIiIyORYISEiIpIYCyT6MSEhIiKSGJ+y0Y8JCRERkcTkzEf04hoSIiIiMjlWSIiIiCTGKRv9mJAQERFJjPmIfpyyISIiIpNjhYSIiEhiMrBEog8TEiIiIonxKRv9ypSQnD17tswDNm3atNzBEBER0cupTAlJs2bNIJPJIAhCqfuL98lkMhQVFRk1QCIiohcdn7LRr0wJSVJSktRxEBERVVrMR/QrU0Li5uYmdRxERET0EivXY7+bNm1Cu3btoNFocOPGDQDAsmXL8NNPPxk1OCIiospALpMZZavMDE5I1q5di9DQUPTs2RMZGRnimhFbW1ssW7bM2PERERG98GQy42yVmcEJycqVK7F+/XpMmTIFZmZmYnurVq1w7tw5owZHRERUGchkMqNslZnBCUlSUhKaN29eol2hUCAnJ8coQREREdHLxeCEpHbt2khISCjRvnfvXri7uxsjJiIiokqFUzb6Gfym1tDQUAQHByM3NxeCIODEiRP45ptvEB4ejs8//1yKGImIiF5olX1BqjEYnJB88MEHsLa2xtSpU/Hw4UMMHDgQGo0Gy5cvh7+/vxQxEhERUSVXrsd+AwICcPnyZWRnZyMlJQU3b95EUFCQsWMjIiKqFGRG2gwVExODPn36QKPRQCaTYceOHeK+goICTJo0CU2aNIGNjQ00Gg0GDRqE27dv64yRnp6OgIAAKJVK2NraIigoCNnZ2Tp9zp49iw4dOsDKygo1a9ZERESEwbGWKyEBgLS0NMTHxyMxMRF3794t7zBERESVnqmessnJyYGnpydWr15dYt/Dhw9x+vRpTJs2DadPn8aPP/6IxMREvPHGGzr9AgICcP78eURHR2P37t2IiYnB8OHDxf1ZWVno1q0b3NzcEB8fj4ULF2LmzJlYt26dQbEaPGXz999/Y9SoUfjmm2+g1WoBAGZmZnjnnXewevVqqFQqQ4ckIiIiCfTo0QM9evQodZ9KpUJ0dLRO26pVq/Daa68hOTkZrq6uuHjxIvbu3YuTJ0+iVatWAB6//qNnz55YtGgRNBoNNm/ejPz8fGzYsAGWlpZo3LgxEhISsGTJEp3ERR+DKyQffPAB4uLisGfPHmRkZCAjIwO7d+/GqVOn8OGHHxo6HBERUaUnlxlny8vLQ1ZWls6Wl5dntDgzMzMhk8lga2sLAIiNjYWtra2YjACAj48P5HI54uLixD4dO3aEpaWl2MfX1xeJiYl48OBBmc9tcEKye/dubNiwAb6+vlAqlVAqlfD19cX69euxa9cuQ4cjIiKq9Iw1ZRMeHg6VSqWzhYeHGyXG3NxcTJo0Ce+++y6USiUAICUlBU5OTjr9zM3NYW9vj5SUFLGPs7OzTp/iz8V9ysLgKRsHB4dSp2VUKhXs7OwMHY6IiIjKKCwsDKGhoTptCoXimcctKCjAgAEDIAgC1q5d+8zjlYfBFZKpU6ciNDRUJ+tJSUnBxIkTMW3aNKMGR0REVBkY68VoCoVCnJ0o3p41ISlORm7cuIHo6GixOgIAarUaaWlpOv0LCwuRnp4OtVot9klNTdXpU/y5uE9ZlKlC0rx5c53VvZcvX4arqytcXV0BAMnJyVAoFLh79y7XkRAREf1LRf0emuJk5PLlyzh06BAcHBx09nt7eyMjIwPx8fFo2bIlAODgwYPQarXw8vIS+0yZMgUFBQWwsLAAAERHR6Nhw4YGzZyUKSHp169fmQckIiIiXXIT5SPZ2dm4cuWK+DkpKQkJCQmwt7eHi4sL3nrrLZw+fRq7d+9GUVGROPthb28PS0tLuLu7o3v37hg2bBgiIyNRUFCAkJAQ+Pv7Q6PRAAAGDhyIWbNmISgoCJMmTcIff/yB5cuXY+nSpQbFKhMEQTDepVcMNUbtMHUIRBXSttDOpg6BqMLxrmcr+TkGf3PWKONEvdvUoP6HDx9Gly5dSrQHBgZi5syZqF27dqnHHTp0CJ07dwbw+MVoISEh2LVrF+RyOfz8/LBixQpUrVpV7H/27FkEBwfj5MmTqF69OkaPHo1JkyYZFKvBi1qJiIjIMKaasuncuTOeVncoS03C3t4eW7ZseWqfpk2b4ujRowbH908GJyRFRUVYunQpvvvuOyQnJyM/P19nf3p6+jMFREREVNlUzBUkFYvBT9nMmjULS5YswTvvvIPMzEyEhoaif//+kMvlmDlzpgQhEhERUWVncEKyefNmrF+/HuPHj4e5uTneffddfP7555g+fTqOHz8uRYxEREQvNLlMZpStMjM4IUlJSUGTJk0AAFWrVkVmZiYAoHfv3tizZ49xoyMiIqoEjPUeksrM4ISkRo0auHPnDgCgbt262L9/PwDg5MmTRnlbHBEREb18DE5I3nzzTRw4cAAAMHr0aEybNg3169fHoEGDMHToUKMHSERE9KIz1nfZVGYGP2Uzf/588dfvvPMO3NzccOzYMdSvXx99+vQxanBERESVQSXPJYzC4ArJv7Vp0wahoaHw8vLCp59+aoyYiIiI6CXzzAlJsTt37vDL9YiIiErBp2z045taiYiIJFbJcwmjYEJCREQkscq+INUYjDZlQ0RERFReZa6QhIaGPnX/3bt3nzkYY7myop+pQyCqkOxah5g6BKIK59HvqyQ/B//1r1+ZE5Lff/9db5+OHTs+UzBERESVEads9CtzQnLo0CEp4yAiIqKXGBe1EhERSUzOAoleTEiIiIgkxoREP66zISIiIpNjhYSIiEhiXNSqHxMSIiIiiXHKRr9yTdkcPXoU7733Hry9vXHr1i0AwKZNm/Drr78aNTgiIiJ6ORickPzwww/w9fWFtbU1fv/9d+Tl5QEAMjMz+W2/REREpZDJjLNVZgYnJHPnzkVkZCTWr18PCwsLsb1du3Y4ffq0UYMjIiKqDPhtv/oZvIYkMTGx1DeyqlQqZGRkGCMmIiKiSoWPtOpn8D1Sq9W4cuVKifZff/0VderUMUpQRERE9HIxOCEZNmwYxowZg7i4OMhkMty+fRubN2/GhAkTMHLkSCliJCIieqFxDYl+Bk/ZTJ48GVqtFl27dsXDhw/RsWNHKBQKTJgwAaNHj5YiRiIiohdaZV//YQwGJyQymQxTpkzBxIkTceXKFWRnZ8PDwwNVq1aVIj4iIiJ6CZT7xWiWlpbw8PAwZixERESVEgsk+hmckHTp0uWpr8A9ePDgMwVERERU2fBNrfoZnJA0a9ZM53NBQQESEhLwxx9/IDAw0FhxERER0UvE4IRk6dKlpbbPnDkT2dnZzxwQERFRZcNFrfoZ7V0t7733HjZs2GCs4YiIiCoNPvarn9ESktjYWFhZWRlrOCIiInqJGDxl079/f53PgiDgzp07OHXqFKZNm2a0wIiIiCoLLmrVz+CERKVS6XyWy+Vo2LAhZs+ejW7duhktMCIiospCBmYk+hiUkBQVFWHIkCFo0qQJ7OzspIqJiIioUmGFRD+D1pCYmZmhW7du/FZfIiIiMiqDF7W++uqruHbtmhSxEBERVUpymXG2yszghGTu3LmYMGECdu/ejTt37iArK0tnIyIiIl0ymcwom6FiYmLQp08faDQayGQy7NixQ2e/IAiYPn06XFxcYG1tDR8fH1y+fFmnT3p6OgICAqBUKmFra4ugoKAS7x07e/YsOnToACsrK9SsWRMREREGx1rmhGT27NnIyclBz549cebMGbzxxhuoUaMG7OzsYGdnB1tbW64rISIiqkBycnLg6emJ1atXl7o/IiICK1asQGRkJOLi4mBjYwNfX1/k5uaKfQICAnD+/HlER0dj9+7diImJwfDhw8X9WVlZ6NatG9zc3BAfH4+FCxdi5syZWLdunUGxygRBEMrS0czMDHfu3MHFixef2q9Tp04GBSCF3EJTR0BUMdm1DjF1CEQVzqPfV0l+jsVHjLPUYXynOuU+ViaTYfv27ejXrx+Ax9URjUaD8ePHY8KECQCAzMxMODs7IyoqCv7+/rh48SI8PDxw8uRJtGrVCgCwd+9e9OzZEzdv3oRGo8HatWsxZcoUpKSkwNLSEgAwefJk7NixA3/++WeZ4yvzUzbFeUtFSDiIiIheJMZ6y2peXh7y8vJ02hQKBRQKhcFjJSUlISUlBT4+PmKbSqWCl5cXYmNj4e/vj9jYWNja2orJCAD4+PhALpcjLi4Ob775JmJjY9GxY0cxGQEAX19fLFiwAA8ePCjz7IlBa0jKM39FRERExhEeHg6VSqWzhYeHl2uslJQUAICzs7NOu7Ozs7gvJSUFTk5OOvvNzc1hb2+v06e0Mf55jrIw6D0kDRo00JuUpKenGzIkERFRpWesL9cLCwtDaGioTlt5qiMVkUEJyaxZs0q8qZWIiIiezliP7JZ3eqY0arUaAJCamgoXFxexPTU1Fc2aNRP7pKWl6RxXWFiI9PR08Xi1Wo3U1FSdPsWfi/uUhUEJib+/f4nSDREREb14ateuDbVajQMHDogJSFZWFuLi4jBy5EgAgLe3NzIyMhAfH4+WLVsCAA4ePAitVgsvLy+xz5QpU1BQUAALCwsAQHR0NBo2bGjQ07dlXkPC9SNERETlI5MZZzNUdnY2EhISkJCQAODxQtaEhAQkJydDJpNh7NixmDt3Lnbu3Ilz585h0KBB0Gg04pM47u7u6N69O4YNG4YTJ07gt99+Q0hICPz9/aHRaAAAAwcOhKWlJYKCgnD+/Hls3boVy5cvLzG1pI/BT9kQERGRYeQm+nK9U6dOoUuXLuLn4iQhMDAQUVFR+Pjjj5GTk4Phw4cjIyMD7du3x969e2FlZSUes3nzZoSEhKBr166Qy+Xw8/PDihUrxP0qlQr79+9HcHAwWrZsierVq2P69Ok67yopizK/h+RFwveQEJWO7yEhKul5vIdkzbHrRhlnVNtaRhmnIjL41fFERERExmbQolYiIiIyXGX/YjxjYEJCREQkMWO9h6Qy45QNERERmRwrJERERBJjgUQ/JiREREQS45SNfpyyISIiIpNjhYSIiEhiLJDox4SEiIhIYpyO0I/3iIiIiEyOFRIiIiKJ8Qtq9WNCQkREJDGmI/oxISEiIpIYH/vVj2tIiIiIyORYISEiIpIY6yP6MSEhIiKSGGds9OOUDREREZkcKyREREQS42O/+jEhISIikhinI/TjPSIiIiKTY4WEiIhIYpyy0Y8JCRERkcSYjujHKRsiIiIyOVZIiIiIJMYpG/2YkBAREUmM0xH6MSEhIiKSGCsk+jFpIyIiIpNjhYSIiEhirI/ox4SEiIhIYpyx0Y9TNkRERGRyrJAQERFJTM5JG72YkBAREUmMUzb6ccqGiIiITI4VEiIiIonJOGWjFxMSIiIiiXHKRj9O2RAREZHJsUJCREQkMT5lox8TEiIiIolxykY/TtkQERFJTCYzzmaIoqIiTJs2DbVr14a1tTXq1q2LOXPmQBAEsY8gCJg+fTpcXFxgbW0NHx8fXL58WWec9PR0BAQEQKlUwtbWFkFBQcjOzjbGbdHBhISIiKgSWrBgAdauXYtVq1bh4sWLWLBgASIiIrBy5UqxT0REBFasWIHIyEjExcXBxsYGvr6+yM3NFfsEBATg/PnziI6Oxu7duxETE4Phw4cbPV6Z8M9UqZLILTR1BEQVk13rEFOHQFThPPp9leTniL54zyjj/Me9epn79u7dG87Ozvjiiy/ENj8/P1hbW+Prr7+GIAjQaDQYP348JkyYAADIzMyEs7MzoqKi4O/vj4sXL8LDwwMnT55Eq1atAAB79+5Fz549cfPmTWg0GqNcF8AKCRERkeTkMuNshmjbti0OHDiAS5cuAQDOnDmDX3/9FT169AAAJCUlISUlBT4+PuIxKpUKXl5eiI2NBQDExsbC1tZWTEYAwMfHB3K5HHFxcc94V3RxUSsREdELIi8vD3l5eTptCoUCCoWiRN/JkycjKysLjRo1gpmZGYqKijBv3jwEBAQAAFJSUgAAzs7OOsc5OzuL+1JSUuDk5KSz39zcHPb29mIfY2GFhIiISGIyI/0XHh4OlUqls4WHh5d6zu+++w6bN2/Gli1bcPr0aWzcuBGLFi3Cxo0bn/PVlw0rJERERBIz1mO/YWFhCA0N1WkrrToCABMnTsTkyZPh7+8PAGjSpAlu3LiB8PBwBAYGQq1WAwBSU1Ph4uIiHpeamopmzZoBANRqNdLS0nTGLSwsRHp6uni8sbBCQkRE9IJQKBRQKpU625MSkocPH0Iu1/1r3szMDFqtFgBQu3ZtqNVqHDhwQNyflZWFuLg4eHt7AwC8vb2RkZGB+Ph4sc/Bgweh1Wrh5eVl1GtjhYSIiEhipvhyvT59+mDevHlwdXVF48aN8fvvv2PJkiUYOnTo45hkMowdOxZz585F/fr1Ubt2bUybNg0ajQb9+vUDALi7u6N79+4YNmwYIiMjUVBQgJCQEPj7+xv1CRuACQkREZHkDH1CxhhWrlyJadOmYdSoUUhLS4NGo8GHH36I6dOni30+/vhj5OTkYPjw4cjIyED79u2xd+9eWFlZiX02b96MkJAQdO3aFXK5HH5+flixYoXR4+V7SIheInwPCVFJz+M9JDGX0o0yTscG9kYZpyJihYQM8t23W/Dd1m9w+9YtAEDdevXx4chRaN+hEwDg3t27WLI4AsePHUPOwxzUqlUbw4aPgE83X3GMj4JHIPHPP5Gefh9KpQpe3t4YGzoBTk7OpZ6TqCJq16Iuxg3yQQsPV7g4qjBg3DrsOnxW3G9jbYm5H/VFny5NYa+ywfXb97HmmyP4/PtfdcbxalobM4N7o3WTWigq0uLspVvoM2o1cvMKAAB/7pkFN42DzjHTVvyERV9GS3+RZDSmmLJ50TAhIYM4OasxZtwEuLq5QRAE7PppB8aEBGPrD9tRr159TPlkEv7OysLyVWthZ2eHn/fswsTxY7Hlux/g7u4BAGj9Wht8MHwEqjs6Ii01FUsWRWDCuDH4avO3Jr46orKzsVbg3KVb+OqnWGxdUvI12gvG+6Fz6wYYMuUr3Lh9Hz7e7lgeNgB37mZiz5FzAB4nIz+tGoVFX+5H6IJtKCzSommDV6DV6hauZ63ZjS9//E38/HeO7nsoqOLjl+vpx4SEDNK5y+s6n0ePGYfvvv0GZ88koF69+jjz+++YMn0GmjRtCgAYPmIUvv5qIy6ePy8mJO8HDhaP12hewdCgYRj7UTAKCgpgYWHx3K6F6Fns/+0C9v924Yn723jWxte743A0/vEXlW348TcE+bVDq8ZuYkISMb4/1nx7WKfacflGWomxsnNykXr/byNfAT1PzEf042O/VG5FRUX45ec9ePToITw9mwMAPJs3x769vyAzIwNarRa//LwHefl5aNX6tVLHyMzIwJ49u+DZrDmTEapUjp9JQu9OTaBxVAEAOraqj/puTvjv8YsAAEe7qnitaW3cTc/GoahQXP/vp9j/+Ri0bVanxFjjh3TDzUMLEPvNJIwb1BVmZvyjmyqfCl0h+euvvzBjxgxs2LDhiX1Ke42uYFb6a3TJOC5fSsT7A/2Rn5+HKlWqYOmK1ahbrx4AYOHiZfh4/Dh0bOcFc3NzWFlZYenyVXB1c9MZY+nihfj2m83IffQITT2bYeWaSFNcCpFkQhdsw+pp7+Lq/nkoKCiCVtBi1Jxv8NvpqwCA2jUef0nalA97ImzpdpxNvImA3q/h589Go+Xbn+Jq8l0AwJpvjuD3i3/hQVYO2njWwezRb0DtqMKkxT+a7NrIcHLO2ehVodPs9PR0va+4Le01ugsXlP4aXTKOWrVq47sfduDrb77D2++8i2mfTMLVK1cAAKtXLsfff2dh3RdR2LL1B7wfOAQfjx+Ly5cSdcYYPDQIW7/fjsj1GyCXyzE1bBIq4QNf9BIb5d8JrzWpBb8xkWgbsACTl2zHsskD0MWrIQBA/v/PgX7xw6/YtPM4ziTexMeLf8Sl62kI7OstjrPi64M4Gn8Zf1y+jc+//xWTl/yIke90gqVFhf73JP2LzEhbZWbSn+idO3c+df+1a9f0jlHaa3QFM1ZHpGRhaSlWPDwav4rzf5zD5q+/wpChH+DbLV/jh592o169+gCAho0a4XT8KXz7zWZMmzFbHMPOzh52dvaoVas26tSpi25dO+HsmQR4NmtukmsiMiYrhQVmje6Dd0LXY++v5wEAf1y+jaYNa2Ds+11xKC4Rd+5mAQAuXtP9grLEpBTUVNs9ceyT567DwsIMbhr7UtebEL2oTJqQ9OvXDzKZ7Kn/MpbpKXOV9i2HfA/J86XValGQn4/c3EcAALlMt/Aml5tB0D75/3Hxa4zz8/OlC5LoObIwN4OlhTm0//qzrahIK1ZGbty+j9tpGWhQS/ebVOu5OT11saxnwxooKtLibjoXub5QKnt5wwhMmpC4uLhgzZo16Nu3b6n7ExIS0LJly+ccFT3N8qWL0b5DR6hdXPAwJwc/79mNUydPYO26L1Crdh24urphzqzpCJ0wCba2tjh48L84HvsbVq75DABw9uwZnD93Ds1btIRSpcRfyclYs3I5atZ0ZXWEXig21paoW9NR/FzrFQc0bfAKHmQ9xF8pDxBz6jI+HdsPj3ILkHwnHR1a1kNA79cwacn/1n4s3fhfTB3RC+cu3cKZxJt4r48XGtZyxsCJXwB4/Fhw61fdcOTUZfydk4s2TWtjwQQ/fPPzSWT8/ei5XzOVH99Dop9JE5KWLVsiPj7+iQmJvuoJPX/p6fcxNWwS7t5NQ9Vq1dCgQUOsXfcFvNu2AwCsilyH5UsW46OQEXj48CFca7pizqfz0aHj4xenWVtZ4cB/92Pt6pV49Oghqjs6ol37Doj4cBQsLS1NeWlEBmnh4Yb9n48RP0dM8AMAbNp5HMNnfI1Bkzdg9ui+iPo0EHbKKki+k46Zq3dj/bb/vRht1ZbDsFJYIGK8H+xUVXDu0i30HrkKSTfvAQDy8gvwtm9LTBnREwoLc1y/fR8rNx/Cik0Hn+/FEj0HJn11/NGjR5GTk4Pu3buXuj8nJwenTp1Cp06dDBqXUzZEpeOr44lKeh6vjj9xLdMo47xWR2WUcSoik1ZIOnTo8NT9NjY2BicjREREFQ0nbPSr0I/9EhER0cuBD7ITERFJjSUSvZiQEBERSYxP2ejHhISIiEhifHO8flxDQkRERCbHCgkREZHEWCDRjwkJERGR1JiR6MUpGyIiIjI5VkiIiIgkxqds9GNCQkREJDE+ZaMfp2yIiIjI5FghISIikhgLJPoxISEiIpIaMxK9OGVDREREJscKCRERkcT4lI1+TEiIiIgkxqds9GNCQkREJDHmI/pxDQkRERGZHCskREREUmOJRC8mJERERBLjolb9OGVDREREJscKCRERkcT4lI1+TEiIiIgkxnxEP07ZEBERkcmxQkJERCQ1lkj0YkJCREQkMT5lox+nbIiIiMjkmJAQERFJTCYzzmaoW7du4b333oODgwOsra3RpEkTnDp1StwvCAKmT58OFxcXWFtbw8fHB5cvX9YZIz09HQEBAVAqlbC1tUVQUBCys7Of9ZaUwISEiIhIYjIjbYZ48OAB2rVrBwsLC/zyyy+4cOECFi9eDDs7O7FPREQEVqxYgcjISMTFxcHGxga+vr7Izc0V+wQEBOD8+fOIjo7G7t27ERMTg+HDh5fvRjyFTBAEweijmlhuoakjIKqY7FqHmDoEogrn0e+rJD/HpdSHRhmngXOVMvedPHkyfvvtNxw9erTU/YIgQKPRYPz48ZgwYQIAIDMzE87OzoiKioK/vz8uXrwIDw8PnDx5Eq1atQIA7N27Fz179sTNmzeh0Wie/aL+HyskREREldDOnTvRqlUrvP3223ByckLz5s2xfv16cX9SUhJSUlLg4+MjtqlUKnh5eSE2NhYAEBsbC1tbWzEZAQAfHx/I5XLExcUZNV4mJERERBKTGem/vLw8ZGVl6Wx5eXmlnvPatWtYu3Yt6tevj3379mHkyJH46KOPsHHjRgBASkoKAMDZ2VnnOGdnZ3FfSkoKnJycdPabm5vD3t5e7GMsTEiIiIgkZqxFreHh4VCpVDpbeHh4qefUarVo0aIFPv30UzRv3hzDhw/HsGHDEBkZ+ZyvvmyYkBAREb0gwsLCkJmZqbOFhYWV2tfFxQUeHh46be7u7khOTgYAqNVqAEBqaqpOn9TUVHGfWq1GWlqazv7CwkKkp6eLfYyFCQkREZHEjPWUjUKhgFKp1NkUCkWp52zXrh0SExN12i5dugQ3NzcAQO3ataFWq3HgwAFxf1ZWFuLi4uDt7Q0A8Pb2RkZGBuLj48U+Bw8ehFarhZeX17PdlH/hm1qJiIikZoIXtY4bNw5t27bFp59+igEDBuDEiRNYt24d1q1b9zgkmQxjx47F3LlzUb9+fdSuXRvTpk2DRqNBv379ADyuqHTv3l2c6ikoKEBISAj8/f2N+oQNwISEiIioUmrdujW2b9+OsLAwzJ49G7Vr18ayZcsQEBAg9vn444+Rk5OD4cOHIyMjA+3bt8fevXthZWUl9tm8eTNCQkLQtWtXyOVy+Pn5YcWKFUaPl+8hIXqJ8D0kRCU9j/eQXLubq79TGdRxtNLf6QXFCgkREZHEyvPa95cNF7USERGRybFCQkREJDEWSPRjQkJERCQ1ZiR6MSEhIiKSmIwZiV5cQ0JEREQmxwoJERGRxPiUjX5MSIiIiCTGfEQ/TtkQERGRybFCQkREJDFO2ejHhISIiEhyzEj04ZQNERERmRwrJERERBLjlI1+TEiIiIgkxnxEP07ZEBERkcmxQkJERCQxTtnox4SEiIhIYvwuG/2YkBAREUmN+YheXENCREREJscKCRERkcRYINGPCQkREZHEuKhVP07ZEBERkcmxQkJERCQxPmWjHxMSIiIiqTEf0YtTNkRERGRyrJAQERFJjAUS/ZiQEBERSYxP2ejHKRsiIiIyOVZIiIiIJManbPRjQkJERCQxTtnoxykbIiIiMjkmJERERGRynLIhIiKSGKds9GNCQkREJDEuatWPUzZERERkcqyQEBERSYxTNvoxISEiIpIY8xH9OGVDREREJscKCRERkdRYItGLFRIiIiKJyYz037OYP38+ZDIZxo4dK7bl5uYiODgYDg4OqFq1Kvz8/JCamqpzXHJyMnr16oUqVarAyckJEydORGFh4TPFUhomJERERJXcyZMn8dlnn6Fp06Y67ePGjcOuXbuwbds2HDlyBLdv30b//v3F/UVFRejVqxfy8/Nx7NgxbNy4EVFRUZg+fbrRY2RCQkREJDGZzDhbeWRnZyMgIADr16+HnZ2d2J6ZmYkvvvgCS5Ysweuvv46WLVviyy+/xLFjx3D8+HEAwP79+3HhwgV8/fXXaNasGXr06IE5c+Zg9erVyM/PN8atETEhISIikpjMSFteXh6ysrJ0try8vKeeOzg4GL169YKPj49Oe3x8PAoKCnTaGzVqBFdXV8TGxgIAYmNj0aRJEzg7O4t9fH19kZWVhfPnz5f7fpSGCQkREZHUjJSRhIeHQ6VS6Wzh4eFPPO23336L06dPl9onJSUFlpaWsLW11Wl3dnZGSkqK2OefyUjx/uJ9xsSnbIiIiF4QYWFhCA0N1WlTKBSl9v3rr78wZswYREdHw8rK6nmE90xYISEiIpKYsZ6yUSgUUCqVOtuTEpL4+HikpaWhRYsWMDc3h7m5OY4cOYIVK1bA3Nwczs7OyM/PR0ZGhs5xqampUKvVAAC1Wl3iqZviz8V9jIUJCRERkcRMsai1a9euOHfuHBISEsStVatWCAgIEH9tYWGBAwcOiMckJiYiOTkZ3t7eAABvb2+cO3cOaWlpYp/o6GgolUp4eHgY5d4U45QNERFRJVStWjW8+uqrOm02NjZwcHAQ24OCghAaGgp7e3solUqMHj0a3t7eaNOmDQCgW7du8PDwwPvvv4+IiAikpKRg6tSpCA4OfmJlprwqZUJiVSmv6sWTl5eH8PBwhIWFGf0Hl8rn0e+rTB0Cgb83XkYV9e+lpUuXQi6Xw8/PD3l5efD19cWaNWvE/WZmZti9ezdGjhwJb29v2NjYIDAwELNnzzZ6LDJBEASjj0oEICsrCyqVCpmZmVAqlaYOh6jC4O8NopK4hoSIiIhMjgkJERERmRwTEiIiIjI5JiQkGYVCgRkzZnDRHtG/8PcGUUlc1EpEREQmxwoJERERmRwTEiIiIjI5JiRERERkckxIiIiIyOSYkJBkVq9ejVq1asHKygpeXl44ceKEqUMiMqmYmBj06dMHGo0GMpkMO3bsMHVIRBUGExKSxNatWxEaGooZM2bg9OnT8PT0hK+vr843RhK9bHJycuDp6YnVq1ebOhSiCoeP/ZIkvLy80Lp1a6xa9fjL3LRaLWrWrInRo0dj8uTJJo6OyPRkMhm2b9+Ofv36mToUogqBFRIyuvz8fMTHx8PHx0dsk8vl8PHxQWxsrAkjIyKiiooJCRndvXv3UFRUBGdnZ512Z2dnpKSkmCgqIiKqyJiQEBERkckxISGjq169OszMzJCamqrTnpqaCrVabaKoiIioImNCQkZnaWmJli1b4sCBA2KbVqvFgQMH4O3tbcLIiIioojI3dQBUOYWGhiIwMBCtWrXCa6+9hmXLliEnJwdDhgwxdWhEJpOdnY0rV66In5OSkpCQkAB7e3u4urqaMDIi0+NjvySZVatWYeHChUhJSUGzZs2wYsUKeHl5mTosIpM5fPgwunTpUqI9MDAQUVFRzz8gogqECQkRERGZHNeQEBERkckxISEiIiKTY0JCREREJseEhIiIiEyOCQkRERGZHBMSIiIiMjkmJERERGRyTEiIKoDBgwejX79+4ufOnTtj7Nixzz2Ow4cPQyaTISMjQ7Jz/Ptay+N5xElEzxcTEqInGDx4MGQyGWQyGSwtLVGvXj3Mnj0bhYWFkp/7xx9/xJw5c8rU93n/5VyrVi0sW7bsuZyLiF4e/C4boqfo3r07vvzyS+Tl5eHnn39GcHAwLCwsEBYWVqJvfn4+LC0tjXJee3t7o4xDRPSiYIWE6CkUCgXUajXc3NwwcuRI+Pj4YOfOnQD+N/Uwb948aDQaNGzYEADw119/YcCAAbC1tYW9vT369u2L69evi2MWFRUhNDQUtra2cHBwwMcff4x/f4PDv6ds8vLyMGnSJNSsWRMKhQL16tXDF198gevXr4vfjWJnZweZTIbBgwcDePwNy+Hh4ahduzasra3h6emJ77//Xuc8P//8Mxo0aABra2t06dJFJ87yKCoqQlBQkHjOhg0bYvny5aX2nTVrFhwdHaFUKjFixAjk5+eL+8oSOxFVLqyQEBnA2toa9+/fFz8fOHAASqUS0dHRAICCggL4+vrC29sbR48ehbm5OebOnYvu3bvj7NmzsLS0xOLFixEVFYUNGzbA3d0dixcvxvbt2/H6668/8byDBg1CbGwsVqxYAU9PTyQlJeHevXuoWbMmfvjhB/j5+SExMRFKpRLW1tYAgPDwcHz99deIjIxE/fr1ERMTg/feew+Ojo7o1KkT/vrrL/Tv3x/BwcEYPnw4Tp06hfHjxz/T/dFqtahRowa2bdsGBwcHHDt2DMOHD4eLiwsGDBigc9+srKxw+PBhXL9+HUOGDIGDgwPmzZtXptiJqBISiKhUgYGBQt++fQVBEAStVitER0cLCoVCmDBhgrjf2dlZyMvLE4/ZtGmT0LBhQ0Gr1YpteXl5grW1tbBv3z5BEATBxcVFiIiIEPcXFBQINWrUEM8lCILQqVMnYcyYMYIgCEJiYqIAQIiOji41zkOHDgkAhAcPHohtubm5QpUqVYRjx47p9A0KChLeffddQRAEISwsTPDw8NDZP2nSpBJj/Zubm5uwdOnSJ+7/t+DgYMHPz0/8HBgYKNjb2ws5OTli29q1a4WqVasKRUVFZYq9tGsmohcbKyRET7F7925UrVoVBQUF0Gq1GDhwIGbOnCnub9Kkic66kTNnzuDKlSuoVq2azji5ubm4evUqMjMzcefOHXh5eYn7zM3N0apVqxLTNsUSEhJgZmZmUGXgypUrePjwIf7zn//otOfn56N58+YAgIsXL+rEAQDe3t5lPseTrF69Ghs2bEBycjIePXqE/Px8NGvWTKePp6cnqlSponPe7Oxs/PXXX8jOztYbOxFVPkxIiJ6iS5cuWLt2LSwtLaHRaGBurvtbxsbGRudzdnY2WrZsic2bN5cYy9HRsVwxFE/BGCI7OxsAsGfPHrzyyis6+xQKRbniKItvv/0WEyZMwOLFi+Ht7Y1q1aph4cKFiIuLK/MYpoqdiEyLCQnRU9jY2KBevXpl7t+iRQts3boVTk5OUCqVpfZxcXFBXFwcOnbsCAAoLCxEfHw8WrRoUWr/Jk2aQKvV4siRI/Dx8Smxv7hCU1RUJLZ5eHhAoVAgOTn5iZUVd3d3cYFusePHj+u/yKf47bff0LZtW4waNUpsu3r1aol+Z86cwaNHj8Rk6/jx46hatSpq1qwJe3t7vbETUeXDp2yIjCggIADVq1dH3759cfToUSQlJeHw4cP46KOPcPPmTQDAmDFjMH/+fOzYsQN//vknRo0a9dR3iNSqVQuBgYEYOnQoduzYIY753XffAQDc3Nwgk8mwe/du3L17F9nZ2ahWrRomTJiAcePGYePGjbh69SpOnz6NlStXYuPGjQCAESNG4PLly5g4cSISExOxZcsWREVFlek6b926hYSEBJ3twYMHqF+/Pk6dOoV9+/bh0qVLmDZtGk6ePFni+Pz8fAQFBeHChQv4+eefMWPGDISEhEAul5cpdiKqhEy9iIWoovrnolZD9t+5c0cYNGiQUL16dUGhUAh16tQRhg0bJmRmZgqC8HgR65gxYwSlUinY2toKoaGhwqBBg564qFUQBOHRo0fCuHHjBBcXF8HS0lKoV6+esGHDBnH/7NmzBbVaLchkMiEwMFAQhMcLcZctWyY0bNhQsLCwEBwdHQVfX1/hyJEj4nG7du0S6tWrJygUCqFDhw7Chg0byrSoFUCJbdOmTUJubq4wePBgQaVSCba2tsLIkSOFyZMnC56eniXu2/Tp0wUHBwehatWqwrBhw4Tc3Fyxj77YuaiVqPKRCcITVtIRERERPSecsiEiIiKTY0JCREREJseEhIiIiEyOCQkRERGZHBMSIiIiMjkmJERERGRyTEiIiIjI5JiQEBERkckxISEiIiKTY0JCREREJseEhIiIiEyOCQkRERGZ3P8BP/Ode9fFc34AAAAASUVORK5CYII=\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]}]},{"cell_type":"code","source":["# =========================\n","# Hindi Training\n","# =========================\n","\n","hin_train = train_part[train_part.language=='hindi']\n","hin_valid = valid_part[valid_part.language=='hindi']\n","hin_test = test_df[test_df.language=='hindi']\n","\n","best_hin,acc,bal,prec,rec,spec,f1,auc = train_strategy(\n"," \"hindi\",\n"," hin_train,\n"," hin_valid,\n"," hin_test\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"tg2AHWXa7nSe","executionInfo":{"status":"ok","timestamp":1774370661608,"user_tz":-330,"elapsed":34817,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"24e6df98-39bf-45e4-a204-d5cba272dfd8"},"execution_count":19,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["Epoch 1/8\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 19ms/step - accuracy: 0.5795 - loss: 0.6794 - val_accuracy: 0.6401 - val_loss: 0.6487\n","Epoch 2/8\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 13ms/step - accuracy: 0.5980 - loss: 0.6732 - val_accuracy: 0.6380 - val_loss: 0.6470\n","Epoch 3/8\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.6096 - loss: 0.6666 - val_accuracy: 0.6288 - val_loss: 0.6498\n","Epoch 4/8\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.6061 - loss: 0.6676 - val_accuracy: 0.6319 - val_loss: 0.6437\n","Epoch 5/8\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 17ms/step - accuracy: 0.6065 - loss: 0.6635 - val_accuracy: 0.6411 - val_loss: 0.6387\n","Epoch 6/8\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 13ms/step - accuracy: 0.6142 - loss: 0.6604 - val_accuracy: 0.6462 - val_loss: 0.6392\n","Epoch 7/8\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 13ms/step - accuracy: 0.6072 - loss: 0.6622 - val_accuracy: 0.6431 - val_loss: 0.6420\n","Epoch 8/8\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 12ms/step - accuracy: 0.6104 - loss: 0.6587 - val_accuracy: 0.6380 - val_loss: 0.6569\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m91/91\u001b[0m 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gQMHqmLFiipbtqx69OihlJQUpz5JSUnq1KmTypQpo8DAQI0YMUJnz54tUqwkJAAAlFAnT55UgwYN9Oabb16wvXnz5nrppZcuOMbQoUP11Vdf6ZNPPtF3332nQ4cOqXv37o723NxcderUSdnZ2Vq/fr3mzp2rOXPmaMyYMUWKlSkbAADMZtFzSDp06KAOHTpcsP2hhx6SJO3fv7/A9vT0dL333ntasGCB7rjjDknS7NmzVa9ePW3YsEFNmzbV8uXL9euvv+rbb79VUFCQGjZsqIkTJ+rpp5/WuHHj5OXlVahYqZAAAGA2N03ZZGVlKSMjw2nLysoyLewtW7YoJydHUVFRjn1169ZV1apVlZCQIElKSEhQ/fr1FRQU5OgTHR2tjIwM7dixo9DnIiEBAOAqER8fL39/f6ctPj7etPMlJyfLy8tLAQEBTvuDgoKUnJzs6PPPZOR8+/m2wmLKBgAAs7lpymbkyJGKi4tz2me3290yttVISAAAMJubHoxmt9uvaAISHBys7OxspaWlOVVJUlJSFBwc7OizceNGp+PO34Vzvk9hMGUDAIDZbDb3bFdY48aN5enpqZUrVzr27dq1S0lJSYqMjJQkRUZGavv27Tpy5Iijz4oVK+Tn56fw8PBCn4sKCQAAJVRmZqb27Nnj+Lxv3z5t3bpVFSpUUNWqVZWamqqkpCQdOnRI0rlkQzpX2QgODpa/v7/69eunuLg4VahQQX5+fho8eLAiIyPVtGlTSVK7du0UHh6uhx56SJMnT1ZycrJGjRqlgQMHFqmaQ4UEAACzWfRgtM2bN6tRo0Zq1KiRJCkuLk6NGjVyPCPkyy+/VKNGjdSpUydJUkxMjBo1aqSZM2c6xpg6dao6d+6sHj16qGXLlgoODtbnn3/uaC9VqpQWL16sUqVKKTIyUg8++KB69+6tCRMmFO0rMgzDKPIVFnM+jQZZHQJQLJ3Y9IbVIQDFjvcVmCvw6TDVLeOc/maoW8YpjqiQAAAAy7GGBAAAs7npLpuSjIQEAACzWfTo+KsJKRsAALAcFRIAAMzGlI1LJCQAAJiNhMQlviEAAGA5KiQAAJiNRa0ukZAAAGA2pmxcIiEBAMBsVEhcImUDAACWo0ICAIDZmLJxiYQEAACzMWXjEikbAACwHBUSAABMZqNC4hIJCQAAJiMhcY0pGwAAYDkqJAAAmI0CiUskJAAAmIwpG9eYsgEAAJajQgIAgMmokLhGQgIAgMlISFwjIQEAwGQkJK6xhgQAAFiOCgkAAGajQOISCQkAACZjysY1pmwAAIDlqJAAAGAyKiSukZAAAGAyEhLXmLIBAACWo0ICAIDJqJC4RkICAIDZyEdcYsoGAABYjgoJAAAmY8rGNRISAABMRkLiGgkJAAAmIyFxjTUkAADAclRIAAAwGwUSl0hIAAAwGVM2rjFlAwAALEeFBAAAk1EhcY0KCQAAJrPZbG7Zimrt2rXq0qWLQkNDZbPZtGjRIqd2wzA0ZswYhYSEyMfHR1FRUdq9e7dTn9TUVPXq1Ut+fn4KCAhQv379lJmZ6dTn559/VosWLeTt7a0qVapo8uTJRY6VhAQAgBLq5MmTatCggd58880C2ydPnqzp06dr5syZSkxMlK+vr6Kjo3XmzBlHn169emnHjh1asWKFFi9erLVr12rAgAGO9oyMDLVr105hYWHasmWLpkyZonHjxumdd94pUqw2wzCMS7vM4sun0SCrQwCKpROb3rA6BKDY8b4CixdCH/3cLeMcerv7JR9rs9m0cOFCdevWTdK56khoaKiGDRum4cOHS5LS09MVFBSkOXPmKCYmRjt37lR4eLg2bdqkJk2aSJKWLl2qjh076uDBgwoNDdWMGTP03HPPKTk5WV5eXpKkZ555RosWLdJvv/1W6PiokAAAYDabmzY32rdvn5KTkxUVFeXY5+/vr4iICCUkJEiSEhISFBAQ4EhGJCkqKkoeHh5KTEx09GnZsqUjGZGk6Oho7dq1SydOnCh0PCxqBQDgKpGVlaWsrCynfXa7XXa7vchjJScnS5KCgoKc9gcFBTnakpOTFRgY6NReunRpVahQwalP9erV841xvq18+fKFiocKCQAAJnPXotb4+Hj5+/s7bfHx8VZfnltQIQEAwGTuuu135MiRiouLc9p3KdURSQoODpYkpaSkKCQkxLE/JSVFDRs2dPQ5cuSI03Fnz55Vamqq4/jg4GClpKQ49Tn/+XyfwqBCAgCAydxVIbHb7fLz83PaLjUhqV69uoKDg7Vy5UrHvoyMDCUmJioyMlKSFBkZqbS0NG3ZssXRZ9WqVcrLy1NERISjz9q1a5WTk+Pos2LFCtWpU6fQ0zUSCQkAACVWZmamtm7dqq1bt0o6t5B169atSkpKks1m05AhQzRp0iR9+eWX2r59u3r37q3Q0FDHnTj16tVT+/bt1b9/f23cuFHr1q3ToEGDFBMTo9DQUEnSAw88IC8vL/Xr1087duzQRx99pNdeey1fJccVpmwAADCbRQ9q3bx5s9q0aeP4fD5JiI2N1Zw5c/TUU0/p5MmTGjBggNLS0tS8eXMtXbpU3t7ejmPmz5+vQYMGqW3btvLw8FCPHj00ffp0R7u/v7+WL1+ugQMHqnHjxqpUqZLGjBnj9KySwuA5JMA1hOeQAPldieeQVB38pVvGSXr9LreMUxwxZQMAACxHQoKLanZLTX067VH9sfx5nf7pDXVpfbNTe9c7Guirtwbq4OqXdPqnN3Rz7evyjbFs1pM6/dMbTtv052Ic7fVrX6e58X20+5uJSk14VT99NkoD729t9qUBpnlv1jtqcGMdTY5/Pl+bYRj6z6OPqMGNdbRq5bdObQ1urJNv++brJVcqbJjIqnfZXE1YQ4KL8vWxa/vvf+mDLxL00av55wPL+Hhp/da9+mzFj5oxptcFx3nvs3WaOGOx4/OpM/+3GrtRvSo6mvq3+o6aq4PJJ9S0QQ29Oep+5eblaeZHa917QYDJftn+sz795H+qXbtOge0ffjD3oj9YJkyKV7PmLRyfy/n5uT1GXHklPZlwBxISXNTydb9q+bpfL9j+3yWbJElVQypcdJzTZ7KVcvzvAts++GKD0+f9fx1XxM3V1fWOBiQkuKqcOnlSI58eobHjJ2nW2zPytf+2c6c+mPu+/vvRZ2rbunmBY5Tz81OlypXNDhUodiydsjl27JgmT56su+++W5GRkYqMjNTdd9+tKVOm6OjRo1aGBje7r2MTHVj1ojZ/8qwmDL5LPt6eF+3vX9ZbJzJOXaHoAPd4YdIEtWzZSk0jb8/Xdvr0aY18apieHTXmognHC5PGq1WzCD1w3z1a+PmnKoH3HVyTmLJxzbIKyaZNmxQdHa0yZcooKipKtWvXlnTu6W7Tp0/Xiy++qGXLljm90AdXp4++2aykw6k6fDRd9WuFatKTXVU7LFAxw98tsH/TBtV1T7vGuvuJ/P/CBIqrb75eop07f9WCjz4tsH3KS/Fq0KiR2twRVWC7JP1n0BO6LaKpvH18lLDuB70wcbxOnTqlXg/2NitsXCklO5dwC8sSksGDB+vee+/VzJkz82V9hmHoscce0+DBgx1vHLyQgl40ZOTlyuZRyu0x49K8//k6x6937Dmkw8cytPSdJ1T9+krad/CYU9/wmiH6eOoAPf/O11q5ofCvrQaslHz4sCa/+LzenvV+gU/NXLNqpTYlbtBHny686DiPPj7Q8et69cJ1+vRpzZ39HgkJrgmWTdls27ZNQ4cOLbAEZbPZNHToUMeT5S6moBcNnU3Z4vI4WGfT9v2SpJpVnMvWdWsE6+u3B+v9z9brpXeXWRAZcGl+/XWHUo8fV8y93XXLzeG65eZwbd60UQvmz9MtN4crIWG9DhxIUvPIWx3tkjRsyGD16/PQBcetf3MDpSQnKzs7+0pdCkzClI1rllVIgoODtXHjRtWtW7fA9o0bN+Z7JXJBCnrRUGCLp90SI8zRoM71kqTkY+mOffVqBOubd57Q/K8SNe7Nr6wKDbgkEU2b6tNFzv/fjn1upKrVqKG+/fqrfEB53dPzPqf2e7p10fCnR6pV6za6kF2/7ZSfn7+8vLxMiRtXTklPJtzBsoRk+PDhGjBggLZs2aK2bds6ko+UlBStXLlSs2bN0ssvv+xyHLvdnq9EynSN+/j6eDlVMqpdV1E3175OJzJO6UDyCZX3K6MqweUVEugvSapd7f//Ph7PUMrxv1X9+kq6r0MTLfthh46nnVT92tdp8rDu+n7Lbv2y+5Ckc9M037zzhL5dv1PTP1yloIrlJEm5eYaOnci8wlcMFJ2vb1nVqlXbaZ9PmTIK8A9w7C9oIWtISKiuv76KJGnN6lVKPX5c9Rs0kN3Lrg0J6/TurLcV2+dh8y8ApiMfcc2yhGTgwIGqVKmSpk6dqrfeeku5ubmSpFKlSqlx48aaM2eOevbsaVV4+P9uCQ/T8nefdHyePLyHJGnelxs0YOyH6tSqvmZN+L+S87yXzv3lOWnm13r+7a+Vk3NWd0TU0aAH2sjXx0sHU05o0cqtevEfUzJ3RzVSYIVyeqDzbXqg822O/X8eOq66ncaafYlAseBZurT+99/5mvLSCzIMqWrVqhr+1DPqcQ9/D+LaUCzeZZOTk6Njx84tbqxUqZI8PS9+S6grvMsGKBjvsgHyuxLvsqk1Yqlbxtk9pb1bximOisWD0Tw9PRUSEmJ1GAAAmIIpG9d4lw0AALBcsaiQAABQknGXjWskJAAAmIx8xDWmbAAAgOWokAAAYDIPD0okrpCQAABgMqZsXGPKBgAAWI4KCQAAJuMuG9dISAAAMBn5iGskJAAAmIwKiWusIQEAAJajQgIAgMmokLhGQgIAgMnIR1xjygYAAFiOCgkAACZjysY1EhIAAExGPuIaUzYAAMByVEgAADAZUzaukZAAAGAy8hHXmLIBAACWo0ICAIDJmLJxjYQEAACTkY+4RkICAIDJqJC4xhoSAABgOSokAACYjAKJayQkAACYjCkb15iyAQAAlqNCAgCAySiQuEZCAgCAyZiycY0pGwAASqi///5bQ4YMUVhYmHx8fHT77bdr06ZNjnbDMDRmzBiFhITIx8dHUVFR2r17t9MYqamp6tWrl/z8/BQQEKB+/fopMzPT7bGSkAAAYDKbzT1bUT3yyCNasWKF5s2bp+3bt6tdu3aKiorSX3/9JUmaPHmypk+frpkzZyoxMVG+vr6Kjo7WmTNnHGP06tVLO3bs0IoVK7R48WKtXbtWAwYMcNdX42AzDMNw+6gW82k0yOoQgGLpxKY3rA4BKHa8r8DihRav/OCWcb4f1rzQfU+fPq1y5crpiy++UKdOnRz7GzdurA4dOmjixIkKDQ3VsGHDNHz4cElSenq6goKCNGfOHMXExGjnzp0KDw/Xpk2b1KRJE0nS0qVL1bFjRx08eFChoaFuuS6JCgkAAFeNrKwsZWRkOG1ZWVkF9j179qxyc3Pl7e3ttN/Hx0c//PCD9u3bp+TkZEVFRTna/P39FRERoYSEBElSQkKCAgICHMmIJEVFRcnDw0OJiYluvTYSEgAATGaz2dyyxcfHy9/f32mLj48v8JzlypVTZGSkJk6cqEOHDik3N1cffvihEhISdPjwYSUnJ0uSgoKCnI4LCgpytCUnJyswMNCpvXTp0qpQoYKjj7uQkAAAYDJ3rSEZOXKk0tPTnbaRI0de8Lzz5s2TYRi67rrrZLfbNX36dN1///3y8Ch+P/6LX0QAAJQw7qqQ2O12+fn5OW12u/2C561Zs6a+++47ZWZm6sCBA9q4caNycnJUo0YNBQcHS5JSUlKcjklJSXG0BQcH68iRI07tZ8+eVWpqqqOPu5CQAABQwvn6+iokJEQnTpzQsmXL1LVrV1WvXl3BwcFauXKlo19GRoYSExMVGRkpSYqMjFRaWpq2bNni6LNq1Srl5eUpIiLCrTHyYDQAAExm1XPRli1bJsMwVKdOHe3Zs0cjRoxQ3bp11bdvX9lsNg0ZMkSTJk1SrVq1VL16dY0ePVqhoaHq1q2bJKlevXpq3769+vfvr5kzZyonJ0eDBg1STEyMW++wkUhIAAAwnVVPaj2/xuTgwYOqUKGCevTooeeff16enp6SpKeeekonT57UgAEDlJaWpubNm2vp0qVOd+bMnz9fgwYNUtu2beXh4aEePXpo+vTpbo+V55AA1xCeQwLkdyWeQ3LH9AS3jLPqiUi3jFMcUSEBAMBkvMrGNRISAABM5kFG4hJ32QAAAMtRIQEAwGQUSFwjIQEAwGRW3WVzNSEhAQDAZB7kIy6xhgQAAFiOCgkAACZjysY1EhIAAExGPuIaUzYAAMByVEgAADCZTZRIXCEhAQDAZNxl41qhEpKff/650APefPPNlxwMAAC4NhUqIWnYsKFsNpsu9GLg8202m025ubluDRAAgKsdd9m4VqiEZN++fWbHAQBAiUU+4lqhEpKwsDCz4wAAANewS7rtd968eWrWrJlCQ0P1559/SpKmTZumL774wq3BAQBQEnjYbG7ZSrIiJyQzZsxQXFycOnbsqLS0NMeakYCAAE2bNs3d8QEAcNWz2dyzlWRFTkhef/11zZo1S88995xKlSrl2N+kSRNt377drcEBAFAS2Gw2t2wlWZETkn379qlRo0b59tvtdp08edItQQEAgGtLkROS6tWra+vWrfn2L126VPXq1XNHTAAAlChM2bhW5Ce1xsXFaeDAgTpz5owMw9DGjRv13//+V/Hx8Xr33XfNiBEAgKtaSV+Q6g5FTkgeeeQR+fj4aNSoUTp16pQeeOABhYaG6rXXXlNMTIwZMQIAgBLukt5l06tXL/Xq1UunTp1SZmamAgMD3R0XAAAlBvUR1y755XpHjhzRrl27JJ1bPVy5cmW3BQUAQElS0u+QcYciL2r9+++/9dBDDyk0NFStWrVSq1atFBoaqgcffFDp6elmxAgAAEq4IickjzzyiBITE7VkyRKlpaUpLS1Nixcv1ubNm/Xoo4+aESMAAFc1D5t7tpKsyFM2ixcv1rJly9S8eXPHvujoaM2aNUvt27d3a3AAAJQETNm4VuQKScWKFeXv759vv7+/v8qXL++WoAAAwLWlyAnJqFGjFBcXp+TkZMe+5ORkjRgxQqNHj3ZrcAAAlAQ8GM21Qk3ZNGrUyKnctHv3blWtWlVVq1aVJCUlJclut+vo0aOsIwEA4F+YsnGtUAlJt27dTA4DAICSq6QvSHWHQiUkY8eONTsOAABwDbvkB6MBAIDCYcrGtSInJLm5uZo6dao+/vhjJSUlKTs726k9NTXVbcEBAFASkI64VuS7bMaPH69XX31V9913n9LT0xUXF6fu3bvLw8ND48aNMyFEAABQ0hU5IZk/f75mzZqlYcOGqXTp0rr//vv17rvvasyYMdqwYYMZMQIAcFXzsNncspVkRU5IkpOTVb9+fUlS2bJlHe+v6dy5s5YsWeLe6AAAKAF4DolrRU5Irr/+eh0+fFiSVLNmTS1fvlyStGnTJtntdvdGBwAArglFTkjuvvturVy5UpI0ePBgjR49WrVq1VLv3r318MMPuz1AAACudjabzS1bSVbku2xefPFFx6/vu+8+hYWFaf369apVq5a6dOni1uAAACgJSngu4RZFrpD8W9OmTRUXF6eIiAi98MIL7ogJAABcptzcXI0ePVrVq1eXj4+PatasqYkTJ8owDEcfwzA0ZswYhYSEyMfHR1FRUdq9e7fTOKmpqerVq5f8/PwUEBCgfv36KTMz0+3xXnZCct7hw4d5uR4AAAWw4i6bl156STNmzNAbb7yhnTt36qWXXtLkyZP1+uuvO/pMnjxZ06dP18yZM5WYmChfX19FR0frzJkzjj69evXSjh07tGLFCi1evFhr167VgAED3PbdnMeTWgEAMJkVUzbr169X165d1alTJ0lStWrV9N///lcbN26UdK46Mm3aNI0aNUpdu3aVJH3wwQcKCgrSokWLFBMTo507d2rp0qXatGmTmjRpIkl6/fXX1bFjR7388ssKDQ11W7xuq5AAAICCuWtRa1ZWljIyMpy2rKysAs95++23a+XKlfr9998lSdu2bdMPP/ygDh06SJL27dun5ORkRUVFOY7x9/dXRESEEhISJEkJCQkKCAhwJCOSFBUVJQ8PDyUmJrr1OyIhAQDgKhEfHy9/f3+nLT4+vsC+zzzzjGJiYlS3bl15enqqUaNGGjJkiHr16iXp3HPFJCkoKMjpuKCgIEdbcnKyAgMDndpLly6tChUqOPq4S6GnbOLi4i7afvTo0csOxl2WfTTB6hCAYmnFzhSrQwCKnS71g1x3ukzu+tf/yJEj8/08vtAzwD7++GPNnz9fCxYs0I033qitW7dqyJAhCg0NVWxsrJsicp9CJyQ//fSTyz4tW7a8rGAAACiJ3PUMEbvdXuiHkI4YMcJRJZGk+vXr688//1R8fLxiY2MVHBwsSUpJSVFISIjjuJSUFDVs2FCSFBwcrCNHjjiNe/bsWaWmpjqOd5dCJySrV69264kBAIB5Tp06JQ8P59pMqVKllJeXJ0mqXr26goODtXLlSkcCkpGRocTERD3++OOSpMjISKWlpWnLli1q3LixJGnVqlXKy8tTRESEW+PlLhsAAEzmYcFdNl26dNHzzz+vqlWr6sYbb9RPP/2kV1991fFUdZvNpiFDhmjSpEmqVauWqlevrtGjRys0NFTdunWTJNWrV0/t27dX//79NXPmTOXk5GjQoEGKiYlx6x02EgkJAACmsyIhef311zV69Gj95z//0ZEjRxQaGqpHH31UY8aMcfR56qmndPLkSQ0YMEBpaWlq3ry5li5dKm9vb0ef+fPna9CgQWrbtq08PDzUo0cPTZ8+3e3x2ox/PrKthFj7e6rVIQDFUnpWjtUhAMXOlVjUGvflb24Z59W76rplnOKICgkAACYr6S/GcwcSEgAATGbFlM3V5pJujf7+++/14IMPKjIyUn/99Zckad68efrhhx/cGhwAALg2FDkh+eyzzxQdHS0fHx/99NNPjkfWpqen87ZfAAAKYLO5ZyvJipyQTJo0STNnztSsWbPk6enp2N+sWTP9+OOPbg0OAICSwIq3/V5tiryGZNeuXQU+kdXf319paWnuiAkAgBKFF8e5VuTvKDg4WHv27Mm3/4cfflCNGjXcEhQAALi2FDkh6d+/v5588kklJibKZrPp0KFDmj9/voYPH+541CwAAPg/rCFxrchTNs8884zy8vLUtm1bnTp1Si1btpTdbtfw4cM1ePBgM2IEAOCqVtLXf7hDkRMSm82m5557TiNGjNCePXuUmZmp8PBwlS1b1oz4AADANeCSH4zm5eWl8PBwd8YCAECJRIHEtSInJG3atLnoI3BXrVp1WQEBAFDS8KRW14qckDRs2NDpc05OjrZu3apffvlFsbGx7ooLAABcQ4qckEydOrXA/ePGjVNmZuZlBwQAQEnDolbX3PaslgcffFDvv/++u4YDAKDE4LZf19yWkCQkJMjb29tdwwEAgGtIkadsunfv7vTZMAwdPnxYmzdv1ujRo90WGAAAJQWLWl0rckLi7+/v9NnDw0N16tTRhAkT1K5dO7cFBgBASWETGYkrRUpIcnNz1bdvX9WvX1/ly5c3KyYAAEoUKiSuFWkNSalSpdSuXTve6gsAANyqyItab7rpJv3xxx9mxAIAQInkYXPPVpIVOSGZNGmShg8frsWLF+vw4cPKyMhw2gAAgDObzeaWrSQr9BqSCRMmaNiwYerYsaMk6a677nL6cgzDkM1mU25urvujBAAAJVqhE5Lx48frscce0+rVq82MBwCAEqekT7e4Q6ETEsMwJEmtWrUyLRgAAEqiEj7b4hZFWkNS0uevAACANYr0HJLatWu7TEpSU1MvKyAAAEoaXq7nWpESkvHjx+d7UisAALg41pC4VqSEJCYmRoGBgWbFAgAArlGFTkhYPwIAwKXhR6hrRb7LBgAAFI0HL9dzqdAJSV5enplxAABQYlEhca3Ij44HAABwtyItagUAAEXHXTaukZAAAGAynkPiGlM2AADAclRIAAAwGQUS10hIAAAwGVM2rjFlAwAALEeFBAAAk1EgcY2EBAAAkzEd4RrfEQAAJVC1atVks9nybQMHDpQknTlzRgMHDlTFihVVtmxZ9ejRQykpKU5jJCUlqVOnTipTpowCAwM1YsQInT171pR4qZAAAGAyK15Qu2nTJuXm5jo+//LLL7rzzjt17733SpKGDh2qJUuW6JNPPpG/v78GDRqk7t27a926dZKk3NxcderUScHBwVq/fr0OHz6s3r17y9PTUy+88ILb47UZJfCteWt/T7U6BKBYSs/KsToEoNjpUj/I9HN8sPmAW8bp3aTKJR87ZMgQLV68WLt371ZGRoYqV66sBQsW6J577pEk/fbbb6pXr54SEhLUtGlTffPNN+rcubMOHTqkoKBz39HMmTP19NNP6+jRo/Ly8nLLNZ3HlA0AACbzsNncsmVlZSkjI8Npy8rKcnn+7Oxsffjhh3r44Ydls9m0ZcsW5eTkKCoqytGnbt26qlq1qhISEiRJCQkJql+/viMZkaTo6GhlZGRox44d7v+O3D4iAAAwRXx8vPz9/Z22+Ph4l8ctWrRIaWlp6tOnjyQpOTlZXl5eCggIcOoXFBSk5ORkR59/JiPn28+3uRtrSAAAMJm7VpCMHDlScXFxTvvsdrvL49577z116NBBoaGhborE/UhIAAAwmbvWtNrt9kIlIP/0559/6ttvv9Xnn3/u2BccHKzs7GylpaU5VUlSUlIUHBzs6LNx40ansc7fhXO+jzsxZQMAQAk2e/ZsBQYGqlOnTo59jRs3lqenp1auXOnYt2vXLiUlJSkyMlKSFBkZqe3bt+vIkSOOPitWrJCfn5/Cw8PdHicVEgAATGbFbb+SlJeXp9mzZys2NlalS//fj3x/f3/169dPcXFxqlChgvz8/DR48GBFRkaqadOmkqR27dopPDxcDz30kCZPnqzk5GSNGjVKAwcOLHKVpjBISAAAMJlV0xHffvutkpKS9PDDD+drmzp1qjw8PNSjRw9lZWUpOjpab731lqO9VKlSWrx4sR5//HFFRkbK19dXsbGxmjBhgimx8hwS4BrCc0iA/K7Ec0g++ukvt4xzX6Pr3DJOcUSFBAAAk1k1ZXM1ISEBAMBkpCOucZcNAACwHBUSAABMxpSNayQkAACYjOkI10hIAAAwGRUS10jaAACA5aiQAABgMuojrpGQAABgMmZsXGPKBgAAWI4KCQAAJvNg0sYlEhIAAEzGlI1rTNkAAADLUSEBAMBkNqZsXCIhAQDAZEzZuMaUDQAAsBwVEgAATMZdNq6RkAAAYDKmbFwjIQEAwGQkJK6xhgQAAFiOCgkAACbjtl/XSEgAADCZB/mIS0zZAAAAy1EhAQDAZEzZuEZCAgCAybjLxjWmbAAAgOWokAAAYDKmbFwjIQEAwGTcZeMaUzYAAMByVEhQZCeOH9Fnc97SL1sSlJ11RoEh16vPk6NUrVY9SdKXC97VprUrlHrsiEqX9lTYDXXU7aHHVKPOjY4xnul3t44fSXYat3vvx9Xh3t5X9FoAd0o/flRLPpyp335KVHb2GVUKvk73/WekqtxQ19En5eB+Lflwpv74dZtyc3MVdH01xQ6fqPKVgyRJGSeOa/G8Gdr982adOX1KgaFV1LbHQ7q5aWuLrgruwJSNayQkKJKTmRl66alHVad+Yz057lWV9SuvI4cOqEzZco4+QaFVdP9jw1Q5+DplZ2Xp2y/+p2ljntTz73yicv7lHf269uqvFtFdHZ+9fcpc0WsB3OlU5t96Y9RA1bypkR55brJ8/QJ07PBB+fzjz8ax5L/05qhBuq1tJ0X3fFj2Mr5KObBPpb28HH3+9/rzOn0qU32ffkG+fgH66fsVmvfqOA158R1dV6O2FZcGN+AuG9dISFAkSz/9UOUrBanvkFGOfZWDQ536RLSOdvrc85En9cOKr3Rw/x7Va3CrY7+3Txn5l69obsDAFbJ60XwFVAxUzMCRjn0Vg5z/bCxdMEt1b2mqzg897thXKfg6pz77f9+hHv3jVLVWuCQp6p5YrV38iQ7+8TsJyVWMfMQ1EhIUybaN3+vGRhGa+eKz+v2XrQqoWEmtO/ZQy39UOv7pbE6O1i5dJB/fsrq+Wi2ntm8+nafFH81WhcpBimjVTlFdY1SqFP9L4uq0Y/M61Wlwmz54eYz2/rpV/hUq6/bobmp6ZxdJUl5ennb+mKDWXR/QOxOH6a99u1UhMERtuz+om25r4RinWu0btXXdKtW7JVLevmW1bf1q5eRkq+aNDS26MuDKKNZ/+x84cEBjx47V+++/f8E+WVlZysrKctqXnZ0lLy+72eFdk44mH9Kabxbqzm4x6nhvrPbv3qn/vfOqSpcurdvbdnL027bxB82aMkbZWWfkX76ihk54TeX8Axztd3TpqbCadeRb1k97fvtZC+fOVFrqcd33yJMWXBVw+VJTDith+Rdq2bmn2nZ/UAf2/qZFs19TKc/SurV1B2Wmn1DWmdNatWi+OsQ8ok4PPqZdWxM1d8ooPTbuNUfC8dCw8Zr36jiN6dtZHqVKycvurT4jJqlSyPXWXiAuiwdzNi4V67tsUlNTNXfu3Iv2iY+Pl7+/v9M2/+1pVybAa5Bh5CmsZm117/24qtaso5btu6lFu6767ptFTv3q3txYY16bq6cnv6MbGzfV2y+NUkZaqqO9Xbf7Vaf+Lbq++g1q3aG77u03WKsXf6KcnOwrfEWAexhGnq6rXksdew3QdTVqq+mdd6lp2y7asPzL/99uSJJuurW5Wnbpqeuq19Iddz+oeo0jlbD8C8c4S//3nk6fzNSjY6ZqyEuz1LJzT817dZwO/7nXkuuCe9jctJVkllZIvvzyy4u2//HHHy7HGDlypOLi4pz2bUw6eVlx4cL8y1dSSJXqTvtCqlTTj+tXO+2ze/soMLSKAkOrqGbdm/TcgHv1w4qv1PHe2ALHrV77RuXm5up4ymEFXx9mWvyAWcoFVFRQlWpO+wKvD9PPid9JknzL+cujVCkF/ev/78DrwrT/t+2Szi16XffN5xo+da6C//+fs9BqN2jfzp+1bulC3fPocPMvBLCIpQlJt27dZLPZHP9yKIjNRZnLbrfLbneenvHyOuuW+JDfDfXqK/mvJKd9KX8lqWJg8EWPMwxDZ3NyLth+YN9u2Tw8VC6g/AX7AMVZ9br1dfSvA077jh46oPKVzt3OW9rTU1Vq1tWRQ859jh0+qPKVz/35yck6Iyn/33s2D4+L/j2Jq0BJL2+4gaVTNiEhIfr888+Vl5dX4Pbjjz9aGR4KENU1Rvt2/aIlH8/RkUMHlLhmmdYu+0KtO90jSco6c1qffzBDe3/7RcePHNafe37TnNcm6cTxo2rc7A5J0t7ftuvbL/6nA/t262jyX9qwZpk+fvc1NW0dLd+yflZeHnDJWnS+V3/u3qGVn83TscMH9eP3K7Th26/UrP3djj6tu96vbetXacOKr3Ts8EH98M1n+nXzet0e3U3SuWpJpeDr9OnbLytp9686lvyX1nz5P+3+ebNuuq25RVcGd7C56b+SzGZYmHbfddddatiwoSZMmFBg+7Zt29SoUSPl5eUVady1v6e67oRLtm3jD1r4wQylHDqoSkEhurPb/Y67bHKyszTr5bHat2uHMjPS5evnr2q16qlTzz6qXvvcbYx/7tml+TOnKPngnzqbk61KQaFq2qa97ux2vzw9vS52alym9KwLV6lw+X7dvF5fL3hbxw7/pQqBwWrZ+T7HXTbnbVy5RKsWfqi01KMKDK2qdj37Ot1lc/TwAX394dva99t2ZZ05rUrB16n1XTFq3Cr636eDm3SpH2T6ORL3prtlnIia/m4ZpziyNCH5/vvvdfLkSbVv377A9pMnT2rz5s1q1apVkcYlIQEKRkIC5HclEpKNf7gnIbmtRslNSCxdQ9KiRYuLtvv6+hY5GQEAoLgp2ZMt7lGsb/sFAACX7q+//tKDDz6oihUrysfHR/Xr19fmzZsd7YZhaMyYMQoJCZGPj4+ioqK0e/dupzFSU1PVq1cv+fn5KSAgQP369VNmZqbbYyUhAQDAbBY8iOTEiRNq1qyZPD099c033+jXX3/VK6+8ovLl/+9uxsmTJ2v69OmaOXOmEhMT5evrq+joaJ05c8bRp1evXtqxY4dWrFihxYsXa+3atRowYMAlfhEXZukaErOwhgQoGGtIgPyuxBqSzfsy3DJOk+qFvxPxmWee0bp16/T9998X2G4YhkJDQzVs2DANH37uGTfp6ekKCgrSnDlzFBMTo507dyo8PFybNm1SkyZNJElLly5Vx44ddfDgQYWGhhY49qWgQgIAgMlsNvdsRfHll1+qSZMmuvfeexUYGKhGjRpp1qxZjvZ9+/YpOTlZUVFRjn3+/v6KiIhQQkKCJCkhIUEBAQGOZESSoqKi5OHhocTExMv7Uv6FhAQAgKtEVlaWMjIynLZ/v8/tvD/++EMzZsxQrVq1tGzZMj3++ON64oknHK9kSU5OliQFBTlXiIKCghxtycnJCgwMdGovXbq0KlSo4OjjLiQkAACYzF1LSAp6f1t8fHyB58zLy9Mtt9yiF154QY0aNdKAAQPUv39/zZw509RrvVQkJAAAmM1NGcnIkSOVnp7utI0cObLAU4aEhCg8PNxpX7169ZSUdO71H8HB515ZkJKS4tQnJSXF0RYcHKwjR444tZ89e1apqamOPu5CQgIAwFXCbrfLz8/Pafv3+9zOa9asmXbt2uW07/fff1dY2LkXPFavXl3BwcFauXKloz0jI0OJiYmKjIyUJEVGRiotLU1btmxx9Fm1apXy8vIUERHh1muz9MFoAABcC6x4D83QoUN1++2364UXXlDPnj21ceNGvfPOO3rnnXfOxWSzaciQIZo0aZJq1aql6tWra/To0QoNDVW3bt0knauotG/f3jHVk5OTo0GDBikmJsatd9hIJCQAAJiuqHfIuMOtt96qhQsXauTIkZowYYKqV6+uadOmqVevXo4+Tz31lE6ePKkBAwYoLS1NzZs319KlS+Xt7e3oM3/+fA0aNEht27aVh4eHevTooenTp7s9Xp5DAlxDeA4JkN+VeA7J1qS/3TJOw6rl3DJOcUSFBAAAk/EuG9dISAAAMBsZiUvcZQMAACxHhQQAAJNZcZfN1YaEBAAAk1lxl83VhoQEAACTkY+4xhoSAABgOSokAACYjRKJSyQkAACYjEWtrjFlAwAALEeFBAAAk3GXjWskJAAAmIx8xDWmbAAAgOWokAAAYDZKJC6RkAAAYDLusnGNKRsAAGA5KiQAAJiMu2xcIyEBAMBk5COukZAAAGA2MhKXWEMCAAAsR4UEAACTcZeNayQkAACYjEWtrjFlAwAALEeFBAAAk1EgcY2EBAAAs5GRuMSUDQAAsBwVEgAATMZdNq6RkAAAYDLusnGNKRsAAGA5KiQAAJiMAolrJCQAAJiNjMQlEhIAAEzGolbXWEMCAAAsR4UEAACTcZeNayQkAACYjHzENaZsAACA5aiQAABgMqZsXCMhAQDAdGQkrjBlAwAALEeFBAAAkzFl4xoJCQAAJiMfcY0pGwAAYDkSEgAATGazuWcrinHjxslmszltdevWdbSfOXNGAwcOVMWKFVW2bFn16NFDKSkpTmMkJSWpU6dOKlOmjAIDAzVixAidPXvWHV9JPkzZAABgMqveZXPjjTfq22+/dXwuXfr/fuwPHTpUS5Ys0SeffCJ/f38NGjRI3bt317p16yRJubm56tSpk4KDg7V+/XodPnxYvXv3lqenp1544QW3x0pCAgCA2SxaRFK6dGkFBwfn25+enq733ntPCxYs0B133CFJmj17turVq6cNGzaoadOmWr58uX799Vd9++23CgoKUsOGDTVx4kQ9/fTTGjdunLy8vNwaK1M2AABcJbKyspSRkeG0ZWVlXbD/7t27FRoaqho1aqhXr15KSkqSJG3ZskU5OTmKiopy9K1bt66qVq2qhIQESVJCQoLq16+voKAgR5/o6GhlZGRox44dbr82EhIAAExmc9MWHx8vf39/py0+Pr7Ac0ZERGjOnDlaunSpZsyYoX379qlFixb6+++/lZycLC8vLwUEBDgdExQUpOTkZElScnKyUzJyvv18m7sxZQMAgMnc9RySkSNHKi4uzmmf3W4vsG+HDh0cv7755psVERGhsLAwffzxx/Lx8XFPQG5EhQQAgKuE3W6Xn5+f03ahhOTfAgICVLt2be3Zs0fBwcHKzs5WWlqaU5+UlBTHmpPg4OB8d92c/1zQupTLRUICAIDJbG7673JkZmZq7969CgkJUePGjeXp6amVK1c62nft2qWkpCRFRkZKkiIjI7V9+3YdOXLE0WfFihXy8/NTeHj4ZcVSEKZsAAAwmwV32QwfPlxdunRRWFiYDh06pLFjx6pUqVK6//775e/vr379+ikuLk4VKlSQn5+fBg8erMjISDVt2lSS1K5dO4WHh+uhhx7S5MmTlZycrFGjRmngwIGFrsoUBQkJAAAl0MGDB3X//ffr+PHjqly5spo3b64NGzaocuXKkqSpU6fKw8NDPXr0UFZWlqKjo/XWW285ji9VqpQWL16sxx9/XJGRkfL19VVsbKwmTJhgSrw2wzAMU0a20NrfU60OASiW0rNyrA4BKHa61A9y3ekyHct0z9NNK5UtuXWEkntlAAAUE7zt1zUWtQIAAMtRIQEAwGRWvcvmakJCAgCAyZiycY0pGwAAYDkSEgAAYDmmbAAAMBlTNq6RkAAAYDIWtbrGlA0AALAcFRIAAEzGlI1rJCQAAJiMfMQ1pmwAAIDlqJAAAGA2SiQukZAAAGAy7rJxjSkbAABgOSokAACYjLtsXCMhAQDAZOQjrpGQAABgNjISl1hDAgAALEeFBAAAk3GXjWskJAAAmIxFra4xZQMAACxnMwzDsDoIlExZWVmKj4/XyJEjZbfbrQ4HKDb4swHkR0IC02RkZMjf31/p6eny8/OzOhyg2ODPBpAfUzYAAMByJCQAAMByJCQAAMByJCQwjd1u19ixY1m0B/wLfzaA/FjUCgAALEeFBAAAWI6EBAAAWI6EBAAAWI6EBAAAWI6EBKZ58803Va1aNXl7eysiIkIbN260OiTAUmvXrlWXLl0UGhoqm82mRYsWWR0SUGyQkMAUH330keLi4jR27Fj9+OOPatCggaKjo3XkyBGrQwMsc/LkSTVo0EBvvvmm1aEAxQ63/cIUERERuvXWW/XGG29IkvLy8lSlShUNHjxYzzzzjMXRAdaz2WxauHChunXrZnUoQLFAhQRul52drS1btigqKsqxz8PDQ1FRUUpISLAwMgBAcUVCArc7duyYcnNzFRQU5LQ/KChIycnJFkUFACjOSEgAAIDlSEjgdpUqVVKpUqWUkpLitD8lJUXBwcEWRQUAKM5ISOB2Xl5eaty4sVauXOnYl5eXp5UrVyoyMtLCyAAAxVVpqwNAyRQXF6fY2Fg1adJEt912m6ZNm6aTJ0+qb9++VocGWCYzM1N79uxxfN63b5+2bt2qChUqqGrVqhZGBliP235hmjfeeENTpkxRcnKyGjZsqOnTpysiIsLqsADLrFmzRm3atMm3PzY2VnPmzLnyAQHFCAkJAACwHGtIAACA5UhIAACA5UhIAACA5UhIAACA5UhIAACA5UhIAACA5UhIAACA5UhIgGKgT58+6tatm+Nz69atNWTIkCsex5o1a2Sz2ZSWlmbaOf59rZfiSsQJ4MoiIQEuoE+fPrLZbLLZbPLy8tINN9ygCRMm6OzZs6af+/PPP9fEiRML1fdK/3CuVq2apk2bdkXOBeDawbtsgIto3769Zs+eraysLH399dcaOHCgPD09NXLkyHx9s7Oz5eXl5ZbzVqhQwS3jAMDVggoJcBF2u13BwcEKCwvT448/rqioKH355ZeS/m/q4fnnn1doaKjq1KkjSTpw4IB69uypgIAAVahQQV27dtX+/fsdY+bm5iouLk4BAQGqWLGinnrqKf37DQ7/nrLJysrS008/rSpVqshut+uGG27Qe++9p/379zvejVK+fHnZbDb16dNH0rk3LMfHx6t69ery8fFRgwYN9Omnnzqd5+uvv1bt2rXl4+OjNm3aOMV5KXJzc9WvXz/HOevUqaPXXnutwL7jx49X5cqV5efnp8cee0zZ2dmOtsLEDqBkoUICFIGPj4+OHz/u+Lxy5Ur5+flpxYoVkqScnBxFR0crMjJS33//vUqXLq1Jkyapffv2+vnnn+Xl5aVXXnlFc+bM0fvvv6969erplVde0cKFC3XHHXdc8Ly9e/dWQkKCpk+frgYNGmjfvn06duyYqlSpos8++0w9evTQrl275OfnJx8fH0lSfHy8PvzwQ82cOVO1atXS2rVr9eCDD6py5cpq1aqVDhw4oO7du2vgwIEaMGCANm/erGHDhl3W95OXl6frr79en3zyiSpWrKj169drwIABCgkJUc+ePZ2+N29vb61Zs0b79+9X3759VbFiRT3//POFih1ACWQAKFBsbKzRtWtXwzAMIy8vz1ixYoVht9uN4cOHO9qDgoKMrKwsxzHz5s0z6tSpY+Tl5Tn2ZWVlGT4+PsayZcsMwzCMkJAQY/LkyY72nJwc4/rrr3ecyzAMo1WrVsaTTz5pGIZh7Nq1y5BkrFixosA4V69ebUgyTpw44dh35swZo0yZMsb69eud+vbr18+4//77DcMwjJEjRxrh4eFO7U8//XS+sf4tLCzMmDp16gXb/23gwIFGjx49HJ9jY2ONChUqGCdPnnTsmzFjhlG2bFkjNze3ULEXdM0Arm5USICLWLx4scqWLaucnBzl5eXpgQce0Lhx4xzt9evXd1o3sm3bNu3Zs0flypVzGufMmTPau3ev0tPTdfjwYUVERDjaSpcurSZNmuSbtjlv69atKlWqVJEqA3v27NGpU6d05513Ou3Pzs5Wo0aNJEk7d+50ikOSIiMjC32OC3nzzTf1/vvvKykpSadPn1Z2drYaNmzo1KdBgwYqU6aM03kzMzN14MABZWZmuowdQMlDQgJcRJs2bTRjxgx5eXkpNDRUpUs7/5Hx9fV1+pyZmanGjRtr/vz5+caqXLnyJcVwfgqmKDIzMyVJS5Ys0XXXXefUZrfbLymOwvjf//6n4cOH65VXXlFkZKTKlSunKVOmKDExsdBjWBU7AGuRkAAX4evrqxtuuKHQ/W+55RZ99NFHCgwMlJ+fX4F9QkJClJiYqJYtW0qSzp49qy1btuiWW24psH/9+vWVl5en7777TlFRUfnaz1docnNzHfvCw8Nlt9uVlJR0wcpKvXr1HAt0z9uwYYPri7yIdevW6fbbb9d//vMfx769e/fm67dt2zadPn3akWxt2LBBZcuWVZUqVVShQgWXsQMoebjLBnCjXr16qVKlSuratau+//577du3T2vWrNETTzyhgwcPSpKefPJJvfjii1q0aJF+++03/ec//7noM0SqVaum2NhYPfzww1q0aJFjzI8//liSFBYWJpvNpsWLF+vo0aPKzMxUuXLlNHz4cA0dOlRz587V3r179eOPP+r111/X3LlzJUmPPfaYdu/erREjRmjXrl1asGCB5syZU6jr/Ouvv7R161an7cSJE6pVq5Y2b96sZcuW6ffff9fo0aO1adOmfMdnZ2erX79++vXXX/X1119r7NixGjRokDw8PAoVO4ASyOpFLEBx9c9FrUVpP3z4sNG7d2+jUqVKht1uN2rUqGH079/fSE9PNwzj3CLWJ5980vDz8zMCAgKMuLg4o3fv3hdc1GoYhnH69Glj6NChRkhIiOHl5WXccMMNxvvvv+9onzBhghEcHGzYbDYjNjbWMIxzC3GnTZtm1KlTx/D09DQqV65sREdHG999953juK+++sq44YYbDLvdbrRo0cJ4//33C7WoVVK+bd68ecaZM2eMPn36GP7+/kZAQIDx+OOPG88884zRoEGDfN/bmDFjjIoVKxply5Y1+vfvb5w5c8bRx1XsLGoFSh6bYVxgJR0AAMAVwpQNAACwHAkJAACwHAkJAACwHAkJAACwHAkJAACwHAkJAACwHAkJAACwHAkJAACwHAkJAACwHAkJAACwHAkJAACwHAkJAACw3P8Dxqxeggm/flYAAAAASUVORK5CYII=\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]}]},{"cell_type":"code","source":["# =========================\n","# Hinglish Training\n","# =========================\n","\n","hing_train = train_part[train_part.language=='hinglish']\n","hing_valid = valid_part[valid_part.language=='hinglish']\n","hing_test = test_df[test_df.language=='hinglish']\n","\n","best_hing,acc_h,bal_h,prec_h,rec_h,spec_h,f1_h,auc_h = train_strategy(\n"," \"hinglish\",\n"," hing_train,\n"," hing_valid,\n"," hing_test\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"JHSuTwRF75bC","executionInfo":{"status":"ok","timestamp":1774370720889,"user_tz":-330,"elapsed":21113,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"9da5e9d2-a2de-4ec6-d805-8abc9e2c369f"},"execution_count":20,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["Epoch 1/8\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.6307 - loss: 0.6598 - val_accuracy: 0.6605 - val_loss: 0.6442\n","Epoch 2/8\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - accuracy: 0.6591 - loss: 0.6332 - val_accuracy: 0.6626 - val_loss: 0.6276\n","Epoch 3/8\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - accuracy: 0.6689 - loss: 0.6126 - val_accuracy: 0.6687 - val_loss: 0.6150\n","Epoch 4/8\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - accuracy: 0.6751 - loss: 0.6131 - val_accuracy: 0.6770 - val_loss: 0.5998\n","Epoch 5/8\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 18ms/step - accuracy: 0.6817 - loss: 0.5990 - val_accuracy: 0.6811 - val_loss: 0.5994\n","Epoch 6/8\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - accuracy: 0.6841 - loss: 0.5891 - val_accuracy: 0.6728 - val_loss: 0.5921\n","Epoch 7/8\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - accuracy: 0.6782 - loss: 0.5895 - val_accuracy: 0.6728 - val_loss: 0.5911\n","Epoch 8/8\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - accuracy: 0.6838 - loss: 0.5864 - val_accuracy: 0.6872 - val_loss: 0.5855\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m44/44\u001b[0m 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]}]},{"cell_type":"code","source":["# =========================\n","# Full Dataset Training\n","# =========================\n","\n","best_full,acc_f,bal_f,prec_f,rec_f,spec_f,f1_f,auc_f = train_strategy(\n"," \"full_dataset\",\n"," train_part,\n"," valid_part,\n"," test_df\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"4MtasHZg8UW0","executionInfo":{"status":"ok","timestamp":1774370807434,"user_tz":-330,"elapsed":73975,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"0dce3131-7496-408a-f39b-3877cd02233b"},"execution_count":21,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["Epoch 1/8\n","\u001b[1m554/554\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 13ms/step - accuracy: 0.6132 - loss: 0.6545 - val_accuracy: 0.6773 - val_loss: 0.6090\n","Epoch 2/8\n","\u001b[1m554/554\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 15ms/step - accuracy: 0.6619 - loss: 0.6199 - val_accuracy: 0.6573 - val_loss: 0.6113\n","Epoch 3/8\n","\u001b[1m554/554\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 12ms/step - accuracy: 0.6682 - loss: 0.6070 - val_accuracy: 0.6905 - val_loss: 0.5929\n","Epoch 4/8\n","\u001b[1m554/554\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 19ms/step - accuracy: 0.6735 - loss: 0.5973 - val_accuracy: 0.6814 - val_loss: 0.5948\n","Epoch 5/8\n","\u001b[1m554/554\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 15ms/step - accuracy: 0.6793 - loss: 0.5881 - val_accuracy: 0.6949 - val_loss: 0.5849\n","Epoch 6/8\n","\u001b[1m554/554\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 12ms/step - accuracy: 0.6853 - loss: 0.5836 - val_accuracy: 0.6959 - val_loss: 0.5806\n","Epoch 7/8\n","\u001b[1m554/554\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 14ms/step - accuracy: 0.6860 - loss: 0.5777 - val_accuracy: 0.7000 - val_loss: 0.5685\n","Epoch 8/8\n","\u001b[1m554/554\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 12ms/step - accuracy: 0.6919 - loss: 0.5716 - val_accuracy: 0.6983 - val_loss: 0.5712\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m277/277\u001b[0m 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zLVq1VJAQIDmzJmjcuXKqWzZsmrRooVq1KhR4PtRq1YtLV68WL169VK9evWcntS6adMmffTRR44n0DZq1EjR0dF68803lZqaqnbt2mnLli1auHChunfvrg4dOrjqx6TevXtr7Nixuuuuu/TII4/o3Llzmj17tq6//nqnRZ2TJ0/Whg0bFBUVpWrVqun48eN6/fXXVblyZbVu3fqy47/wwgvq2rWrIiIiNGjQIMdtv/7+/k7fl+RqHh4eGj9+vGm/wn52ivrzvpw1a9bo9ddf14QJExy3Ic+fP1/t27fXU089pWnTphVpPKBYcd8NPiiOLnfbr2EYxrvvvmvUrFnT8PLyMho3bmysWLHCstt+DcMw1q9fbzRt2tTw8vIyatasacyZMyff7aSGYRiff/650bBhQ8Pb29uoXr268fzzzxvz5s3Ld87k5GQjKirKKFeunCHJcTtlVlaWMWrUKCM0NNTw8fExWrVqZSQkJOS75fKNN94w2rZta1SsWNGw2+1GrVq1jDFjxhhpaWlO8aSkpBgxMTFGlSpVjNKlSxshISFGx44djTfffNOp32effWaEh4cbpUqVKvQtwL/88osxZMgQo3r16oaXl5dRrlw5o1WrVsarr75qZGVlOfqdP3/emDRpklGjRg2jdOnSRpUqVYxx48Y59TGMP2/7jYqKyneeS6/9crf9GoZhrFy50rjxxhsNLy8vo27dusa7776b7+e0evVqo1u3bkZYWJjh5eVlhIWFGffdd5/xyy+/5DvHpe/DqlWrjFatWhk+Pj6Gn5+fceeddxq7d+926nPxfJfeVlzYz95fb/u9nMvd9luYz45hXP7n3a5du8veTv7Xcc6ePWtUq1bNaNKkiXH+/HmnfiNHjjQ8PDyMhISEK14DUJzZDKMIq70AAAAswBoSAADgdqwhwTWVnp6u9PT0K/apVKnSZW/fBACUTCQkuKZefPFFTZo06Yp9Dh06ZNkX9gEAiifWkOCaOnjwoOkjyVu3bu3Wr6EHAFx7JCQAAMDtWNQKAADcjoQEAAC4XYlc1Opz03B3hwAUS2e2znJ3CECx430NfhO66vdS5o8l9+8wFRIAAOB2JbJCAgBAsWLj3/9mSEgAALCazebuCIo9EhIAAKxGhcQU7xAAAHA7KiQAAFiNKRtTJCQAAFiNKRtTvEMAAMDtqJAAAGA1pmxMUSEBAMBqNg/XbEUwe/ZsNWzYUH5+fvLz81NERIS++uorx/727dvLZrM5bUOHDnUa48iRI4qKilKZMmUUFBSkMWPG6MKFC0591q1bpyZNmshut6t27dpasGDBVb1FVEgAACiBKleurKlTp6pOnToyDEMLFy5Ut27d9OOPP6p+/fqSpCFDhmjy5MmOY8qUKeP4c25urqKiohQSEqJNmzYpKSlJ/fr1U+nSpTVlyhRJ0qFDhxQVFaWhQ4dq0aJFWr16tQYPHqzQ0FBFRkYWKV6bYRiGC667WOG7bICC8V02QH7X5LtsIv7rknEyE6b+reMrVKigF154QYMGDVL79u3VuHFjzZgxo8C+X331le644w4dO3ZMwcHBkqQ5c+Zo7NixOnHihLy8vDR27FgtX75cO3fudBzXu3dvpaam6uuvvy5SbEzZAABgNTdM2fxVbm6u3n//fWVkZCgiIsLRvmjRIgUGBurGG2/UuHHjdO7cOce+hIQENWjQwJGMSFJkZKTOnj2rXbt2Ofp06tTJ6VyRkZFKSEgocoxM2QAA8A+RnZ2t7Oxspza73S673V5g/x07digiIkJZWVny9fXVkiVLFB4eLknq06ePqlWrprCwMG3fvl1jx47V3r179emnn0qSkpOTnZIRSY7XycnJV+xz9uxZZWZmysfHp9DXRkICAIDVXHSXTVxcnCZNmuTUNmHCBE2cOLHA/nXr1lViYqLS0tL08ccfKzo6WuvXr1d4eLgefPBBR78GDRooNDRUHTt21IEDB1SrVi2XxFsUJCQAAFjNRQ9GGzdunGJjY53aLlcdkSQvLy/Vrl1bktS0aVNt3bpVM2fO1BtvvJGvb4sWLSRJ+/fvV61atRQSEqItW7Y49UlJSZEkhYSEOP7/Yttf+/j5+RWpOiKxhgQAAOvZbC7Z7Ha74zbei9uVEpJL5eXl5ZvyuSgxMVGSFBoaKkmKiIjQjh07dPz4cUef+Ph4+fn5OaZ9IiIitHr1aqdx4uPjndapFBYVEgAASqBx48apa9euqlq1qv744w8tXrxY69at04oVK3TgwAEtXrxYt99+uypWrKjt27dr5MiRatu2rRo2bChJ6ty5s8LDw/XAAw9o2rRpSk5O1vjx4xUTE+NIgoYOHapZs2bp8ccf18CBA7VmzRp9+OGHWr58eZHjJSEBAMBqbvgum+PHj6tfv35KSkqSv7+/GjZsqBUrVui2227T0aNHtWrVKs2YMUMZGRmqUqWKevbsqfHjxzuO9/T01LJlyzRs2DBFRESobNmyio6OdnpuSY0aNbR8+XKNHDlSM2fOVOXKlfXWW28V+RkkEs8hAf5VeA4JkN81eQ5Ju8nmnQohc/3TLhmnOGINCQAAcDumbAAAsJoHX65nhoQEAACruWENyT8N7xAAAHA7KiQAAFjNRU9qLclISAAAsBpTNqZ4hwAAgNtRIQEAwGpM2ZgiIQEAwGpM2ZgiIQEAwGpUSEyRsgEAALejQgIAgNWYsjFFQgIAgNWYsjFFygYAANyOCgkAAFZjysYUCQkAAFZjysYUKRsAAHA7KiQAAFiNKRtTJCQAAFiNhMQU7xAAAHA7KiQAAFiNRa2mSEgAALAaUzamSEgAALAaFRJTpGwAAMDtqJAAAGA1pmxMkZAAAGA1pmxMkbIBAAC3o0ICAIDFbFRITJGQAABgMRISc0zZAAAAt6NCAgCA1SiQmCIhAQDAYkzZmGPKBgAAuB0VEgAALEaFxBwJCQAAFiMhMUdCAgCAxUhIzLGGBAAAuB0VEgAArEaBxBQJCQAAFmPKxhxTNgAAwO2okAAAYDEqJOZISAAAsBgJiTmmbAAAgNtRIQEAwGJUSMyRkAAAYDXyEVNM2QAAALejQgIAgMWYsjFHQgIAgMVISMyRkAAAYDESEnOsIQEAAG5HhQQAAKtRIDFFQgIAgMWYsjHHlA0AAHA7KiQAAFiMCok5EhIAACxGQmKOKRsAAOB2VEgAALAYFRJzJCQAAFiNfMQUUzYAAMDtqJAAAGAxpmzMkZAAAGAxEhJzJCQAAFiMhMQca0gAAIDbUSEBAMBqFEhMkZAAAGAxpmzMMWUDAEAJNHv2bDVs2FB+fn7y8/NTRESEvvrqK8f+rKwsxcTEqGLFivL19VXPnj2VkpLiNMaRI0cUFRWlMmXKKCgoSGPGjNGFCxec+qxbt05NmjSR3W5X7dq1tWDBgquKlwoJrmjIPa015O42qhZWQZK052Cyprz5lVZ+u1uStGLuo2rbrI7TMXM/3qhHnnvf8br9zddrwsN3qH7tMGVk5mjRF5s14bUvlJubJ0l68qHbNX7o7fnOnZGZrcBbRll1acDfsu37rVow723t2b1TJ06c0PRXXtOtHTs59q+KX6mPPnxfe3btUlpaqj74eKluqFevwLEMw1DM0CH6duM3TuOkpp7RuMdHa98ve5WamqoKFSuqfYeOeuSxWPn6+l6T64RruKNCUrlyZU2dOlV16tSRYRhauHChunXrph9//FH169fXyJEjtXz5cn300Ufy9/fX8OHD1aNHD3377beSpNzcXEVFRSkkJESbNm1SUlKS+vXrp9KlS2vKlCmSpEOHDikqKkpDhw7VokWLtHr1ag0ePFihoaGKjIwsUrwkJLii31NS9dSrn2n/kROyyaa+d7bQR9MfVMveU7XnYLIk6e1PvtUzs5c5jjmXdd7x5wbXX6elrw7T82+v0KCn/qewoAC9+kRveXp6aNz0JZKkGf9bpbc+/sbpvF++8Yi27fr1GlwhcHUyM8+pbt266t6jp2IfHV7g/ptuaqLIyK6aNGH8Fcd6938LC/yF5WHzUIdbO2r4I4+pfIUKOnrkiKY8O0nPTkrT1Bdectm1wHruSEjuvPNOp9fPPfecZs+ere+++06VK1fW22+/rcWLF+vWW2+VJM2fP1/16tXTd999p5YtW2rlypXavXu3Vq1apeDgYDVu3FjPPPOMxo4dq4kTJ8rLy0tz5sxRjRo19NJLf34e69Wrp40bN2r69OkkJHCtLzfsdHo98bUvNOSe1rq5YQ1HQpKZlaOUU38UePzdnZto575jinvza0nSwaMn9eTMpXr3+YF67o0vlX4uWxmZOcrIzHEc0+D66xReK9SpygIUN63btFPrNu0uu//O/3SXJP3++29XHOfnPXv0v4Xz9N4Hn6hj+9ZO+/z8/XVv7z6O12Fh1+ne3n20cP7bVx84/tGys7OVnZ3t1Ga322W32694XG5urj766CNlZGQoIiJC27Zt0/nz59Wp0/9V9W644QZVrVpVCQkJatmypRISEtSgQQMFBwc7+kRGRmrYsGHatWuXbrrpJiUkJDiNcbHPY489VuRrc+sakpMnT2ratGm66667FBERoYiICN1111164YUXdOLECXeGhgJ4eNh0T2RTlfXx0ubthxztvW5vpqNrpur7j57Q5BH/kY93acc+u1cpZWWfdxonM/u8fLy9dFO9qgWeZ8Bdt+iXwyn69scD1lwIUExkZmZq3OOj9MT4pxVYqZJp/+PHU7RmVbyaNmt+DaKDK9lsNpdscXFx8vf3d9ri4uIue94dO3bI19dXdrtdQ4cO1ZIlSxQeHq7k5GR5eXkpICDAqX9wcLCSk//8x2ZycrJTMnJx/8V9V+pz9uxZZWZmFuk9cluFZOvWrYqMjFSZMmXUqVMnXX/99ZKklJQUvfLKK5o6dapWrFihZs2auStE/H/1a4dp3cJR8vYqpfTMbPUaNVc////qyAdffa8jSaeVdCJNDeqE6dlHu+n6akHqPfotSVL8pj0a3qeD7u3SVB+v/EEhFf30xINdJUmhlfzyncvuVUq9ujbTS/Pjr90FAm7ywvNxanTTTepwa6cr9hs7Olbr1q5WVlaW2rXvoImTn7tGEcJlXDRjM27cOMXGxjq1Xak6UrduXSUmJiotLU0ff/yxoqOjtX79etcE42JuS0hGjBihe+65R3PmzMk3t2YYhoYOHaoRI0YoISHhiuMUVL4y8nJl8/B0ecz/Vr8cTlGL3nHy9/XRXZ1u0tzJD6jz4Jn6+WCy5n36raPfrv3HlHTyrL5+8xHVqByoQ7+d1OrvftYTM5bqlSd66+1n+in7/AVNnfu1Wjeprbw8I9+5ut3aSOXKeOvdLzZfy0sErrl1a1Zr6+bv9MHHS0z7jhk7TkMfjtGvhw9r5oyX9eLzcXry6YnWB4lipzDTM3/l5eWl2rVrS5KaNm2qrVu3aubMmerVq5dycnKUmprqVCVJSUlRSEiIJCkkJERbtmxxGu/iXTh/7XPpnTkpKSny8/OTj49Pka7NbVM2P/30k0aOHFngQh+bzaaRI0cqMTHRdJyCylcXUrZZEPG/1/kLuTp49KR+3HNUT7/6uXb88rti7mtfYN+tOw5LkmpV+b/y8yvvrlFI2zG6/vanVbnDf/XFuu2SpEO/ncx3fP/ut+irb3bq+OmC16QAJcWWzd/p6NEjah3RXE0ahqtJw3BJ0qjHRmhQ/wec+gZWqqQaNWup/a0d9dSESfrwg/d04sRxd4SNq+SqKZu/Ky8vT9nZ2WratKlKly6t1atXO/bt3btXR44cUUREhCQpIiJCO3bs0PHj//dZi4+Pl5+fn8LDwx19/jrGxT4XxygKt1VILmZeN9xwQ4H7t2zZkm9eqiAFla+C2ox1SYwomIfNJrtXwR+dRnUrS5KST6bl25d04s+2e7s009Gk0/rx56NO+6uFVVS75nV092NvujhioPgZOPhB3XX3PU5td3e/U6PHjlO79h0ue5xh/FlZzMnJuWwfFD/uuMtm3Lhx6tq1q6pWrao//vhDixcv1rp167RixQr5+/tr0KBBio2NVYUKFeTn56cRI0YoIiJCLVu2lCR17txZ4eHheuCBBzRt2jQlJydr/PjxiomJcVRphg4dqlmzZunxxx/XwIEDtWbNGn344Ydavnx5keN1W0IyevRoPfjgg9q2bZs6duzoSD5SUlK0evVqzZ07Vy+++KLpOAWVr5iucZ3JI/6jFd/u0tGkMypX1lu9ujZT22Z1dOfDr6tG5UD16tpMKzbu0qnUDDW4/jpNG9VD32zbp537jjnGGNmvo1Zu2qO8vDx169hYowfcpr6Pz8s3ZRPdvaWST57Vim93XevLBIrsXEaGjhw54nj9+2+/6ec9e+Tv76/QsDClpaYqKSnJUck4fPjPheCBgYEKrFTJsV0qNDRMlStXkSR9s2G9Tp06qfo3NlCZMmV0YP9+TX9xmhrf1ETXXVf5GlwlXMUdD2o9fvy4+vXrp6SkJPn7+6thw4ZasWKFbrvtNknS9OnT5eHhoZ49eyo7O1uRkZF6/fXXHcd7enpq2bJlGjZsmCIiIlS2bFlFR0dr8uTJjj41atTQ8uXLNXLkSM2cOVOVK1fWW2+9VeRbfiXJZlxMt93ggw8+0PTp07Vt2zbl5uZK+vMNaNq0qWJjY3Xvvfde1bg+N+V/JgCuzuwJfdTh5roKCfRTWnqWdu77XS/NX6U1m39W5eAAzXsuWuG1wlTWx0u/pZzR52t+0tS3VuiPjCzHGF+9MUKN61WRvXQp7fjldz33lwerXWSz2fTLl5O1aNkWTXzti2t9mf8aZ7bOcncIJcbWLZs1eEC/fO3/6XaXnpkyVZ8t+VRPjx+Xb//Qh4drWMyIAsdsVL+u04PRtmz+TrNemaGDB/YrJydHwSGh6tjpNg0c/KD8/PIvCsfV8b4G/zSvPfor806FsP/Fri4Zpzhya0Jy0fnz53Xy5J/rCQIDA1W6dGmTI66MhAQoGAkJkN+1SEjqjPnaJePse6GLS8YpjorFg9FKly6t0NBQd4cBAIAl+G49c3y5HgAAcLtiUSEBAKAkc8ddNv80JCQAAFiMfMQcUzYAAMDtqJAAAGAxDw9KJGZISAAAsBhTNuaYsgEAAG5HhQQAAItxl405EhIAACxGPmKOhAQAAItRITHHGhIAAOB2VEgAALAYFRJzJCQAAFiMfMQcUzYAAMDtqJAAAGAxpmzMkZAAAGAx8hFzTNkAAAC3o0ICAIDFmLIxR0ICAIDFyEfMMWUDAADcjgoJAAAWY8rGHAkJAAAWIx8xR0ICAIDFqJCYYw0JAABwOyokAABYjAKJORISAAAsxpSNOaZsAACA21EhAQDAYhRIzJGQAABgMaZszDFlAwAA3I4KCQAAFqNAYo6EBAAAizFlY44pGwAA4HZUSAAAsBgVEnMkJAAAWIx8xBwJCQAAFqNCYo41JAAAwO2okAAAYDEKJOZISAAAsBhTNuaYsgEAAG5HhQQAAItRIDFHQgIAgMU8yEhMMWUDAADcjgoJAAAWo0BijoQEAACLcZeNORISAAAs5kE+Yoo1JAAAwO2okAAAYDGmbMyRkAAAYDHyEXNM2QAAALejQgIAgMVsokRihoQEAACLcZeNuUIlJNu3by/0gA0bNrzqYAAAwL9ToRKSxo0by2azyTCMAvdf3Gez2ZSbm+vSAAEA+KfjLhtzhUpIDh06ZHUcAACUWOQj5gqVkFSrVs3qOAAAwL/YVd32+84776hVq1YKCwvTr7/+KkmaMWOGPvvsM5cGBwBASeBhs7lkK8mKnJDMnj1bsbGxuv3225WamupYMxIQEKAZM2a4Oj4AAP7xbDbXbCVZkROSV199VXPnztWTTz4pT09PR3uzZs20Y8cOlwYHAEBJYLPZXLKVZEVOSA4dOqSbbropX7vdbldGRoZLggIAAP8uRU5IatSoocTExHztX3/9terVq+eKmAAAKFGYsjFX5Ce1xsbGKiYmRllZWTIMQ1u2bNF7772nuLg4vfXWW1bECADAP1pJX5DqCkWukAwePFjPP/+8xo8fr3PnzqlPnz6aPXu2Zs6cqd69e1sRIwAAKKK4uDg1b95c5cqVU1BQkLp37669e/c69Wnfvn2+dSpDhw516nPkyBFFRUWpTJkyCgoK0pgxY3ThwgWnPuvWrVOTJk1kt9tVu3ZtLViwoMjxXtV32dx///26//77de7cOaWnpysoKOhqhgEA4F/BHfWR9evXKyYmRs2bN9eFCxf0xBNPqHPnztq9e7fKli3r6DdkyBBNnjzZ8bpMmTKOP+fm5ioqKkohISHatGmTkpKS1K9fP5UuXVpTpkyR9Ofa0qioKA0dOlSLFi3S6tWrNXjwYIWGhioyMrLQ8V71l+sdP37ckWnZbDZVqlTpaocCAKBEc8cdMl9//bXT6wULFigoKEjbtm1T27ZtHe1lypRRSEhIgWOsXLlSu3fv1qpVqxQcHKzGjRvrmWee0dixYzVx4kR5eXlpzpw5qlGjhl566SVJUr169bRx40ZNnz69SAlJkads/vjjDz3wwAMKCwtTu3bt1K5dO4WFhalv375KS0sr6nAAAKCQsrOzdfbsWactOzu7UMde/B1doUIFp/ZFixYpMDBQN954o8aNG6dz58459iUkJKhBgwYKDg52tEVGRurs2bPatWuXo0+nTp2cxoyMjFRCQkKRru2q1pBs3rxZy5cvV2pqqlJTU7Vs2TJ9//33euihh4o6HAAAJZ6HzTVbXFyc/P39nba4uDjT8+fl5emxxx5Tq1atdOONNzra+/Tpo3fffVdr167VuHHj9M4776hv376O/cnJyU7JiCTH6+Tk5Cv2OXv2rDIzMwv9HhV5ymbZsmVasWKFWrdu7WiLjIzU3Llz1aVLl6IOBwBAieeqKZtx48YpNjbWqc1ut5seFxMTo507d2rjxo1O7Q8++KDjzw0aNFBoaKg6duyoAwcOqFatWi6JubCKXCGpWLGi/P3987X7+/urfPnyLgkKAADkZ7fb5efn57SZJSTDhw/XsmXLtHbtWlWuXPmKfVu0aCFJ2r9/vyQpJCREKSkpTn0uvr647uRyffz8/OTj41PoaytyQjJ+/HjFxsY6SjXSn+WaMWPG6KmnnirqcAAAlHjueDCaYRgaPny4lixZojVr1qhGjRqmx1x88GloaKgkKSIiQjt27NDx48cdfeLj4+Xn56fw8HBHn9WrVzuNEx8fr4iIiCLFW6gpm5tuusmp3LRv3z5VrVpVVatWlfTnPcp2u10nTpxgHQkAAJdwx102MTExWrx4sT777DOVK1fOUUjw9/eXj4+PDhw4oMWLF+v2229XxYoVtX37do0cOVJt27ZVw4YNJUmdO3dWeHi4HnjgAU2bNk3JyckaP368YmJiHJWZoUOHatasWXr88cc1cOBArVmzRh9++KGWL19epHgLlZB07969SIMCAID/4+GGB5HMnj1b0p8PP/ur+fPnq3///vLy8tKqVas0Y8YMZWRkqEqVKurZs6fGjx/v6Ovp6ally5Zp2LBhioiIUNmyZRUdHe303JIaNWpo+fLlGjlypGbOnKnKlSvrrbfeKtItv5JkMwzDuPrLLZ58bhru7hCAYunM1lnuDgEodryv+olchdf/ve0uGWfBfQ1dMk5xdA1+DAAA/Lu5Y8rmn6bICUlubq6mT5+uDz/8UEeOHFFOTo7T/tOnT7ssOAAASgLSEXNFvstm0qRJevnll9WrVy+lpaUpNjZWPXr0kIeHhyZOnGhBiAAAoKQrckKyaNEizZ07V6NGjVKpUqV033336a233tLTTz+t7777zooYAQD4R/Ow2VyylWRFTkiSk5PVoEEDSZKvr6/j2fh33HFHkW/xAQDg38AdzyH5pylyQlK5cmUlJSVJkmrVqqWVK1dKkrZu3Vqox9cCAABcqsgJyV133eV4ItuIESP01FNPqU6dOurXr58GDhzo8gABAPins9lsLtlKsiLfZTN16lTHn3v16qVq1app06ZNqlOnju68806XBgcAQElQwnMJlyhyheRSLVu2VGxsrFq0aKEpU6a4IiYAAPAv87cTkouSkpL4cj0AAArAXTbmeFIrAAAWK+G5hEuQkAAAYLGSviDVFVw2ZQMAAHC1Cl0hiY2NveL+EydO/O1gXOXHL6e5OwSgWOq94Ht3hwAUO0sHN7P8HPzr31yhE5Iff/zRtE/btm3/VjAAAJRETNmYK3RCsnbtWivjAAAA/2IsagUAwGIeFEhMkZAAAGAxEhJzrLMBAABuR4UEAACLsajVHAkJAAAWY8rG3FVN2XzzzTfq27evIiIi9Pvvv0uS3nnnHW3cuNGlwQEAgH+HIickn3zyiSIjI+Xj46Mff/xR2dnZkqS0tDS+7RcAgALYbK7ZSrIiJyTPPvus5syZo7lz56p06dKO9latWumHH35waXAAAJQEfNuvuSKvIdm7d2+BT2T19/dXamqqK2ICAKBE4ZZWc0V+j0JCQrR///587Rs3blTNmjVdEhQAAPh3KXJCMmTIED366KPavHmzbDabjh07pkWLFmn06NEaNmyYFTECAPCPxhoSc0Wesvnvf/+rvLw8dezYUefOnVPbtm1lt9s1evRojRgxwooYAQD4Ryvp6z9cocgJic1m05NPPqkxY8Zo//79Sk9PV3h4uHx9fa2IDwAA/Atc9YPRvLy8FB4e7spYAAAokSiQmCtyQtKhQ4crPgJ3zZo1fysgAABKGp7Uaq7ICUnjxo2dXp8/f16JiYnauXOnoqOjXRUXAAD4FylyQjJ9+vQC2ydOnKj09PS/HRAAACUNi1rNuexZLX379tW8efNcNRwAACUGt/2ac1lCkpCQIG9vb1cNBwAA/kWKPGXTo0cPp9eGYSgpKUnff/+9nnrqKZcFBgBAScGiVnNFTkj8/f2dXnt4eKhu3bqaPHmyOnfu7LLAAAAoKWwiIzFTpIQkNzdXAwYMUIMGDVS+fHmrYgIAoEShQmKuSGtIPD091blzZ77VFwAAuFSRF7XeeOONOnjwoBWxAABQInnYXLOVZEVOSJ599lmNHj1ay5YtU1JSks6ePeu0AQAAZzabzSVbSVboNSSTJ0/WqFGjdPvtt0uS/vOf/zi9OYZhyGazKTc31/VRAgCAEq3QCcmkSZM0dOhQrV271sp4AAAocUr6dIsrFDohMQxDktSuXTvLggEAoCQq4bMtLlGkNSQlff4KAAC4R5GeQ3L99debJiWnT5/+WwEBAFDS8OV65oqUkEyaNCnfk1oBAMCVsYbEXJESkt69eysoKMiqWAAAwL9UoRMS1o8AAHB1+BVqrsh32QAAgKLx4Mv1TBU6IcnLy7MyDgAASiwqJOaK/Oh4AAAAVyvSolYAAFB03GVjjoQEAACL8RwSc0zZAAAAt6NCAgCAxSiQmCMhAQDAYkzZmGPKBgAAuB0VEgAALEaBxBwJCQAAFmM6whzvEQAAcDsqJAAAWIwvqDVHQgIAgMVIR8yRkAAAYDFu+zXHGhIAAEqguLg4NW/eXOXKlVNQUJC6d++uvXv3OvXJyspSTEyMKlasKF9fX/Xs2VMpKSlOfY4cOaKoqCiVKVNGQUFBGjNmjC5cuODUZ926dWrSpInsdrtq166tBQsWFDleEhIAACxmc9FWFOvXr1dMTIy+++47xcfH6/z58+rcubMyMjIcfUaOHKkvvvhCH330kdavX69jx46pR48ejv25ubmKiopSTk6ONm3apIULF2rBggV6+umnHX0OHTqkqKgodejQQYmJiXrsscc0ePBgrVixomjvkWEYRhGvsdj7Oemcu0MAiqX/Lt/t7hCAYmfp4GaWn2PxD7+5ZJw+TSpf9bEnTpxQUFCQ1q9fr7Zt2yotLU2VKlXS4sWLdffdd0uSfv75Z9WrV08JCQlq2bKlvvrqK91xxx06duyYgoODJUlz5szR2LFjdeLECXl5eWns2LFavny5du7c6ThX7969lZqaqq+//rrQ8VEhAQDgXyAtLU2SVKFCBUnStm3bdP78eXXq1MnR54YbblDVqlWVkJAgSUpISFCDBg0cyYgkRUZG6uzZs9q1a5ejz1/HuNjn4hiFxaJWAAAs5qrbfrOzs5Wdne3UZrfbZbfbr3hcXl6eHnvsMbVq1Uo33nijJCk5OVleXl4KCAhw6hscHKzk5GRHn78mIxf3X9x3pT5nz55VZmamfHx8CnVtVEgAALCYh4u2uLg4+fv7O21xcXGm54+JidHOnTv1/vvvu/zaXIUKCQAA/xDjxo1TbGysU5tZdWT48OFatmyZNmzYoMqV/28NSkhIiHJycpSamupUJUlJSVFISIijz5YtW5zGu3gXzl/7XHpnTkpKivz8/ApdHZGokAAAYDmbzeaSzW63y8/Pz2m7XEJiGIaGDx+uJUuWaM2aNapRo4bT/qZNm6p06dJavXq1o23v3r06cuSIIiIiJEkRERHasWOHjh8/7ugTHx8vPz8/hYeHO/r8dYyLfS6OUVhUSAAAsJg7HosWExOjxYsX67PPPlO5cuUcaz78/f3l4+Mjf39/DRo0SLGxsapQoYL8/Pw0YsQIRUREqGXLlpKkzp07Kzw8XA888ICmTZum5ORkjR8/XjExMY5EaOjQoZo1a5Yef/xxDRw4UGvWrNGHH36o5cuXFyleKiQAAJRAs2fPVlpamtq3b6/Q0FDH9sEHHzj6TJ8+XXfccYd69uyptm3bKiQkRJ9++qljv6enp5YtWyZPT09FRESob9++6tevnyZPnuzoU6NGDS1fvlzx8fFq1KiRXnrpJb311luKjIwsUrw8hwT4F+E5JEB+1+I5JB//lOSSce5uFOqScYojpmwAALAY0xHmSEgAALCYq55DUpKRtAEAALejQgIAgMWoj5gjIQEAwGLM2JhjygYAALgdFRIAACzmwaSNKRISAAAsxpSNOaZsAACA21EhAQDAYjambEyRkAAAYDGmbMwxZQMAANyOCgkAABbjLhtzJCQAAFiMKRtzJCQAAFiMhMQca0gAAIDbUSEBAMBi3PZrjoQEAACLeZCPmGLKBgAAuB0VEgAALMaUjTkSEgAALMZdNuaYsgEAAG5HhQQAAIsxZWOOhAQAAItxl405pmwAAIDbUSHBFe36aZuWvP8/7f9lt86cOqlxz7yslm06OPbPjHtaa1Z84XTMTc1v0cQXXnO8fvaJR3Vo/y9KO3NavuX81KhpC/V76BFVDAxy9Plhyya9N3+Ojhw+IC8vL9Vv1EQDho1ScGiY9RcJFFHPRiFqWb28Kvt7Kzs3T3tT0rVw6286lpbt6PNsVF3dGFrO6biv9xzXnG+PSJJurVNRj7SrUeD40e8mKi3rglPbDcG+ei6qro6cydTIJbtdfEWwGlM25khIcEVZWZmqXut6dby9m6Y+NarAPk1uvkWPjJ3keF3ay8tpf4Obmuue+wepfMVAnTp5XPNnT9fzE8Zo2msLJUkpSb9rypMj1e3evood/5zOZaTr7dde1NSnR2n63PesuzjgKtUPKaevdh/XvhMZ8vSwqW+z6zSxy/Ua8ckuZV/Ic/Rb+fMJLd72u+P1X/dtPHhaP/yW5jTuI21ryKuUR75kpKyXpx5rV13bj51VgE9pi64KVuIuG3MkJLiipi1aq2mL1lfsU7q0l8pXDLzs/m739HX8OSgkTD37DFDc+FhduHBepUqV1v69u5WXl6f7B8XIw+PPWcTuvfppypMjHX2A4mTyin1Or1/ZcFj/69tYtQLLaHdyuqM9+0KeUjMvXHq4JCkn11DOX/b5eZdSg7Byeu2bw/n6Dm1VTRsOnFaeIbWoFuCSa8C1RT5ijjUk+Nt2Jn6vft1v1bAHumv2y8/pbFrqZfv+cTZN61d9pRvqN3IkGrXrhsvmYdPqrz5Tbm6uMtL/0LqVy9WoaQuSEfwjlPHylCSlZzsnH21rVdD/+jbSzB711bfZdfLyvPx/cjvUqaicC3nadOiMU/utdSoquJxd7/9wzPWBA8VIsa6QHD16VBMmTNC8efMu2yc7O1vZ2dlObTnZufKy260OD5JuuvkWtWx7q4JDr1Py77/pnbde1eSxw/X8awvl6enp6LfwjZlavuR9ZWdlqW54A42Pe8WxLzj0Ok164XVNmzRWr7/0nPLyclW3fkM9PXWWOy4JKBKbpEEtq2h38h86cibL0b5h/ykdT8/RmXPnVa2Cj/rdXFnXBXjr+VUHChyn0/WB2nDgtHJyDUdbqJ9d/W6urCe++Fl5RoGH4R/CgzkbU8W6QnL69GktXLjwin3i4uLk7+/vtL356ovXKEK07dhFLVq1V/WaddSyTQc9FfeK9v28SzsTv3fqd1evfpo+931NenG2PDw8NSPuKRnGn/+FPXPqpF578RndGnmnXnrjXU2Z+ZZKlyqt5yeMdvQBiqsHW1VVtfI+emnNQaf2lXtPKvH3s/r1TKY2HDitmesOKaJ6eYWUy/+PpbpBZVWlvI9W7T3paPOwSbEdauq9bcd07Gx2vmPwz2Jz0VaSubVC8vnnn19x/8GDB6+4X5LGjRun2NhYp7bDp3P/Vly4eiFhleXnH6Ck34+qUdMWjna/gPLyCyiv66pUU+WqNTTo3i7au3u7bqjfSF8u/UBlyvqq/9DHHP1HPvmcBt3bRb/s3qG69Ru64UoAc0Miqqp5lQA9sexnnTp3/op9fzmRIUkK8bMr+Q/nBOO2uoE6ePKcDpw652jzKe2pOpXKqmbFMnrwlqqS/lwY6WGz6ZOBTTXxq1+0I+kPF18R4D5uTUi6d+8um812xX8F20zKXHa7XfZLpme8Ms5dpjesdvJ4iv44m3bFRa6G8eedBudz/vwPeHZ2lmwezsU6j/8/155n5AkojoZEVFXL6gEav3yvjqfnmPavUbGMJOlMpnPi4l3KQ61qVNA73//m1H4uJ1ePfLLTqa1rvSA1CCunaasPKOUP83OiGCnp5Q0XcGtCEhoaqtdff13dunUrcH9iYqKaNm16jaPCX2WeO6ek3486Xqck/66D+/aqnJ+ffMv56/2Fb+iWth0VUCFQyceOauEbMxV6XRU1aX6LJGnv7h3a//Mu1Wtwk3zLlVPysd+0aN7rCgmrohv+f+WjWcs2+vyjRXp/4Rtq27GLMs+d0ztzZykoOFQ169zglusGruShW6qqba0KmhK/X5nncxXg8+d/Ss/l5Con11BIObva1qqgbUfT9Ef2BVWr4KNBLatoZ9If+vV0ptNYrWtWkIeHTev3n3ZqNySnNSmSlJZ1QedzjXztKP54Dok5tyYkTZs21bZt2y6bkJhVT2C9/Xt3a/zIIY7X8157SZJ0a+SdGhr7hA4f3Ke1K75QRvofqlCxkho3j9D9Ax92PIvE7u2thG/W6L0Fc5SVmanyFQPV5OZbdO+EIY4+DZvcrNjxU7Tk/YVa8t5C2b29Vbd+Q02Y9prsdu9rf9GAia7hfz7U77k7nBPmV9Yf0pp9p3QhL08Nr/PTHTcGy7uUh05m5CjhcKo+/DH/nTKd6gbqu8NnlJHDVDP+3WyGG3/jf/PNN8rIyFCXLl0K3J+RkaHvv/9e7dq1K9K4PycxZQMU5L/LecIncKmlg5tZfo4tB9PMOxXCzTX9XTJOceTWCkmbNm2uuL9s2bJFTkYAAChumLAxV6xv+wUAAP8OxfrBaAAAlAiUSEyRkAAAYDHusjFHQgIAgMV4crw51pAAAAC3o0ICAIDFKJCYIyEBAMBqZCSmmLIBAABuR4UEAACLcZeNORISAAAsxl025piyAQAAbkeFBAAAi1EgMUdCAgCA1chITDFlAwAA3I4KCQAAFuMuG3MkJAAAWIy7bMyRkAAAYDHyEXOsIQEAAG5HhQQAAKtRIjFFQgIAgMVY1GqOKRsAAOB2VEgAALAYd9mYIyEBAMBi5CPmmLIBAABuR4UEAACrUSIxRUICAIDFuMvGHFM2AADA7aiQAABgMe6yMUeFBAAAi9lctBXVhg0bdOeddyosLEw2m01Lly512t+/f3/ZbDanrUuXLk59Tp8+rfvvv19+fn4KCAjQoEGDlJ6e7tRn+/btatOmjby9vVWlShVNmzatyLGSkAAAYDU3ZSQZGRlq1KiRXnvttcv26dKli5KSkhzbe++957T//vvv165duxQfH69ly5Zpw4YNevDBBx37z549q86dO6tatWratm2bXnjhBU2cOFFvvvlmkWJlygYAgBKqa9eu6tq16xX72O12hYSEFLhvz549+vrrr7V161Y1a9ZMkvTqq6/q9ttv14svvqiwsDAtWrRIOTk5mjdvnry8vFS/fn0lJibq5ZdfdkpczFAhAQDAYjYX/S87O1tnz5512rKzs/9WbOvWrVNQUJDq1q2rYcOG6dSpU459CQkJCggIcCQjktSpUyd5eHho8+bNjj5t27aVl5eXo09kZKT27t2rM2fOFDoOEhIAACxms7lmi4uLk7+/v9MWFxd31XF16dJF//vf/7R69Wo9//zzWr9+vbp27arc3FxJUnJysoKCgpyOKVWqlCpUqKDk5GRHn+DgYKc+F19f7FMYTNkAAPAPMW7cOMXGxjq12e32qx6vd+/ejj83aNBADRs2VK1atbRu3Tp17Njxqse9GlRIAACwmKvWtNrtdvn5+TltfychuVTNmjUVGBio/fv3S5JCQkJ0/Phxpz4XLlzQ6dOnHetOQkJClJKS4tTn4uvLrU0pCAkJAABWc9d9v0X022+/6dSpUwoNDZUkRUREKDU1Vdu2bXP0WbNmjfLy8tSiRQtHnw0bNuj8+fOOPvHx8apbt67Kly9f6HOTkAAAUEKlp6crMTFRiYmJkqRDhw4pMTFRR44cUXp6usaMGaPvvvtOhw8f1urVq9WtWzfVrl1bkZGRkqR69eqpS5cuGjJkiLZs2aJvv/1Ww4cPV+/evRUWFiZJ6tOnj7y8vDRo0CDt2rVLH3zwgWbOnJlvaskMa0gAALCYu77L5vvvv1eHDh0cry8mCdHR0Zo9e7a2b9+uhQsXKjU1VWFhYercubOeeeYZp2mgRYsWafjw4erYsaM8PDzUs2dPvfLKK479/v7+WrlypWJiYtS0aVMFBgbq6aefLtItv5JkMwzD+JvXW+z8nHTO3SEAxdJ/l+92dwhAsbN0cDPzTn/ToZNZLhmnRqC3S8YpjpiyAQAAbseUDQAAFuO79cyRkAAAYDUyElMkJAAAWMxdi1r/SVhDAgAA3I4KCQAAFrNRIDFFQgIAgMXIR8wxZQMAANyOCgkAABZjysYcCQkAAJYjIzHDlA0AAHA7KiQAAFiMKRtzJCQAAFiMfMQcUzYAAMDtqJAAAGAxpmzMkZAAAGAxvsvGHAkJAABWIx8xxRoSAADgdlRIAACwGAUScyQkAABYjEWt5piyAQAAbkeFBAAAi3GXjTkSEgAArEY+YoopGwAA4HZUSAAAsBgFEnMkJAAAWIy7bMwxZQMAANyOCgkAABbjLhtzJCQAAFiMKRtzTNkAAAC3IyEBAABux5QNAAAWY8rGHAkJAAAWY1GrOaZsAACA21EhAQDAYkzZmCMhAQDAYuQj5piyAQAAbkeFBAAAq1EiMUVCAgCAxbjLxhxTNgAAwO2okAAAYDHusjFHQgIAgMXIR8yRkAAAYDUyElOsIQEAAG5HhQQAAItxl405EhIAACzGolZzTNkAAAC3sxmGYbg7CJRM2dnZiouL07hx42S3290dDlBs8HcDyI+EBJY5e/as/P39lZaWJj8/P3eHAxQb/N0A8mPKBgAAuB0JCQAAcDsSEgAA4HYkJLCM3W7XhAkTWLQHXIK/G0B+LGoFAABuR4UEAAC4HQkJAABwOxISAADgdiQkAADA7UhIYJnXXntN1atXl7e3t1q0aKEtW7a4OyTArTZs2KA777xTYWFhstlsWrp0qbtDAooNEhJY4oMPPlBsbKwmTJigH374QY0aNVJkZKSOHz/u7tAAt8nIyFCjRo302muvuTsUoNjhtl9YokWLFmrevLlmzZolScrLy1OVKlU0YsQI/fe//3VzdID72Ww2LVmyRN27d3d3KECxQIUELpeTk6Nt27apU6dOjjYPDw916tRJCQkJbowMAFBckZDA5U6ePKnc3FwFBwc7tQcHBys5OdlNUQEAijMSEgAA4HYkJHC5wMBAeXp6KiUlxak9JSVFISEhbooKAFCckZDA5by8vNS0aVOtXr3a0ZaXl6fVq1crIiLCjZEBAIqrUu4OACVTbGysoqOj1axZM918882aMWOGMjIyNGDAAHeHBrhNenq69u/f73h96NAhJSYmqkKFCqpataobIwPcj9t+YZlZs2bphRdeUHJysho3bqxXXnlFLVq0cHdYgNusW7dOHTp0yNceHR2tBQsWXPuAgGKEhAQAALgda0gAAIDbkZAAAAC3IyEBAABuR0ICAADcjoQEAAC4HQkJAABwOxISAADgdiQkQDHQv39/de/e3fG6ffv2euyxx655HOvWrZPNZlNqaqpl57j0Wq/GtYgTwLVFQgJcRv/+/WWz2WSz2eTl5aXatWtr8uTJunDhguXn/vTTT/XMM88Uqu+1/uVcvXp1zZgx45qcC8C/B99lA1xBly5dNH/+fGVnZ+vLL79UTEyMSpcurXHjxuXrm5OTIy8vL5ect0KFCi4ZBwD+KaiQAFdgt9sVEhKiatWqadiwYerUqZM+//xzSf839fDcc88pLCxMdevWlSQdPXpU9957rwICAlShQgV169ZNhw8fdoyZm5ur2NhYBQQEqGLFinr88cd16Tc4XDplk52drbFjx6pKlSqy2+2qXbu23n77bR0+fNjx3Sjly5eXzWZT//79Jf35DctxcXGqUaOGfHx81KhRI3388cdO5/nyyy91/fXXy8fHRx06dHCK82rk5uZq0KBBjnPWrVtXM2fOLLDvpEmTVKlSJfn5+Wno0KHKyclx7CtM7ABKFiokQBH4+Pjo1KlTjterV6+Wn5+f4uPjJUnnz59XZGSkIiIi9M0336hUqVJ69tln1aVLF23fvl1eXl566aWXtGDBAs2bN0/16tXTSy+9pCVLlujWW2+97Hn79eunhIQEvfLKK2rUqJEOHTqkkydPqkqVKvrkk0/Us2dP7d27V35+fvLx8ZEkxcXF6d1339WcOXNUp04dbdiwQX379lWlSpXUrl07HT16VD169FBMTIwefPBBff/99xo1atTfen/y8vJUuXJlffTRR6pYsaI2bdqkBx98UKGhobr33nud3jdvb2+tW7dOhw8f1oABA1SxYkU999xzhYodQAlkAChQdHS00a1bN8MwDCMvL8+Ij4837Ha7MXr0aMf+4OBgIzs723HMO++8Y9StW9fIy8tztGVnZxs+Pj7GihUrDMMwjNDQUGPatGmO/efPnzcqV67sOJdhGEa7du2MRx991DAMw9i7d68hyYiPjy8wzrVr1xqSjDNnzjjasrKyjDJlyhibNm1y6jto0CDjvvvuMwzDMMaNG2eEh4c77R87dmy+sS5VrVo1Y/r06Zfdf6mYmBijZ8+ejtfR0dFGhQoVjIyMDEfb7NmzDV9fXyM3N7dQsRd0zQD+2aiQAFewbNky+fr66vz588rLy1OfPn00ceJEx/4GDRo4rRv56aeftH//fpUrV85pnKysLB04cEBpaWlKSkpSixYtHPtKlSqlZs2a5Zu2uSgxMVGenp5Fqgzs379f586d02233ebUnpOTo5tuukmStGfPHqc4JCkiIqLQ57ic1157TfPmzdORI0eUmZmpnJwcNW7c2KlPo0aNVKZMGafzpqen6+jRo0pPTzeNHUDJQ0ICXEGHDh00e/ZseXl5KSwsTKVKOf+VKVu2rNPr9PR0NW3aVIsWLco3VqVKla4qhotTMEWRnp4uSVq+fLmuu+46p312u/2q4iiM999/X6NHj9ZLL72kiIgIlStXTi+88II2b95c6DHcFTsA9yIhAa6gbNmyql27dqH7N2nSRB988IGCgoLk5+dXYJ/Q0FBt3rxZbdu2lSRduHBB27ZtU5MmTQrs36BBA+Xl5Wn9+vXq1KlTvv0XKzS5ubmOtvDwcNntdh05cuSylZV69eo5Fuhe9N1335lf5BV8++23uuWWW/Twww872g4cOJCv308//aTMzExHsvXdd9/J19dXVapUUYUKFUxjB1DycJcN4EL333+/AgMD1a1bN33zzTc6dOiQ1q1bp0ceeUS//fabJOnRRx/V1KlTtXTpUv388896+OGHr/gMkerVqys6OloDBw7U0qVLHWN++OGHkqRq1arJZrNp2bJlOnHihNLT01WuXDmNHj1aI0eO1MKFC3XgwAH98MMPevXVV7Vw4UJJ0tChQ7Vv3z6NGTNGe/fu1eLFi7VgwYJCXefvv/+uxMREp+3MmTOqU6eOvv/+e61YsUK//PKLnnrqKW3dujXf8Tk5ORo0aJB2796tL7/8UhMmTNDw4cPl4eFRqNgBlEDuXsQCFFd/XdRalP1JSUlGv379jMDAQMNutxs1a9Y0hgwZYqSlpRmG8eci1kcffdTw8/MzAgICjNjYWKNfv36XXdRqGIaRmZlpjBw50ggNDTW8vLyM2rVrG/PmzXPsnzx5shESEmLYbDYjOjraMIw/F+LOmDHDqFu3rlG6dGmjUqVKRmRkpLF+/XrHcV988YVRu3Ztw263G23atDHmzZtXqEWtkvJt77zzjpGVlWX079/f8Pf3NwICAoxhw4YZ//3vf41GjRrle9+efvppo2LFioavr68xZMgQIysry9HHLHYWtQIlj80wLrOSDgAA4BphygYAALgdCQkAAHA7EhIAAOB2JCQAAMDtSEgAAIDbkZAAAAC3IyEBAABuR0ICAADcjoQEAAC4HQkJAABwOxISAADgdiQkAADA7f4fYtMbHrCcKqsAAAAASUVORK5CYII=\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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EAThkeuoS3VQl+pEqKZ6kvSp4Gq1Gnv37kVCQoJ+zMbGBhEREcjIyKjQPubPn49XXnkFTk5O5b5eUlKCkpIS/XJBQQGAu08t1Wg0j1F9Wff2Z+r9kiH2WRzsszjYZ/GYutelWh0yMm9gw/FrWLrn0mPvb/ILLaC0tYFaq8ORK4VYvDMLb3VugHb13RBSzw1KWxvIbe4+EdtWLvmxiQcy13famP3JhIpETDO5cuUKfH19sWPHDoSFhenHR48ejS1btmDXrl0P3X737t0IDQ3Frl270KFDh3LXGTduHMaPH19mfMmSJXB0dHy8D0BERFVKoQYo0QK7r9ngRgkQ4iGgkauAfDVwtlAGtRbILZYh/eqDw0FsEy0WnJLD20FAi5oCZDJg5zUZSrSARicT8dNUnJudAFUpoC6nvog6OkTW1UEpl6AwE1KpVOjfvz/y8/Ph6ur60HUlPXLzuObPn49WrVo9MNgAQEJCAuLj4/XLBQUF8PPzQ2Rk5CObYyyNRoPU1FR0794dCoXCpPum+9hncbDP4mCfK+daYQnm/nUODT2cUKeGPRbvuogtp/LKrLen7NAjLTh1NwVk35Eh+47xYSa2Y33YyO6eerqh0uCmSo0dZ2+gbk0HFJWUQqsTMLRzAxy/Wog1R7KNL7Act9QPrnPjFRtsvHI3zA0LD8DgTvXh6mC+75q5vtP3zrxUhKThxt3dHXK5HDk5OQbjOTk58Pb2fui2RUVFWLp0KSZMmPDQ9ZRKJZRKZZlxhUJhtn9IzLlvuo99Fgf7LA72+eFKtTqs2ncZo38+ZNL9tvKtgcOX8yu8fuu6NZB/R4Ort4oxIqIxYjr6w1lZ+V+lM/6zfC6vCHXc7KG0vRuwSrU63FCp8d1f5/BMS284KW1x8OIt7My8gaNX8lGs0eL8dRUA4KmmHth8MhcA4OvmgMu37pR5v5lbMjFzSyYAYM+YCHi4lP39aCqm/k4bsy9Jw42dnR2Cg4ORlpaGPn36AAB0Oh3S0tIQFxf30G1XrFiBkpISvPbaayJUSkRE5nQ6pxAr9l7CtYJijOzeBOevqzAr/Qx2Zt6o8D68Xe0x4fkW8KnhgOY+LtAJQOLqo/hpdxZ+ficMrXyc8eeff6Jnz54P/UVZqtXBVm4DrU5AkboUDgo5FCLNcWngbjh/1FZuA08Xe3zSs7l+rImXC/qF+FV4nwmrDuOn3Vllxtt/sREeLkrsGRNR+YKrKMlPS8XHxyMmJgYhISHo0KEDkpOTUVRUhNjYWADAwIED4evri6SkJIPt5s+fjz59+qB27dpSlE1ERI9BEASkn8zFp78eKXOE4dcDVx66bdemHhjWtRGC69fETZUat4tL4e9e/kUlSS+2QtKLrQBUfELqvcm6chsZXO0t/2jav3two0iNdhNT9a/lFpbA/+M16NbME/MHtZeqRJOTPNxER0cjNzcXY8eORXZ2NoKCgrBu3Tp4eXkBALKysmBjY5iYT548iW3btmHDhg1SlExERJV0+FI+hi7+G1fziyu8TaCPK14KrovXnqgPO1vD3wfuzkq4O5vv1Iq1qeVkh/OTn8Wfh6/inR/36cfTTlyD/8drMKJbY4zs3kTCCk1D8nADAHFxcQ88DZWenl5mrGnTphW6jwAREYlHo9Vh97kbyM4vxk2VGhlnr6NebUeczrmNbWcePrN3yZBQdGzojmKNFmdzb8PDWQlPV3uRKq9+nmnlg3NJPZF2/Bre/P5v/fjXaafxddpppH/Y9YFHwyxBlQg3RERkWQRBwJZTuRi0YE+ltg9v4oHp0UGo5WRnMG6vkKNFnRqmKJEeQSaTISLQC0fHR2HML4cNTgd2nZpeZv0v+7ZGVEtvqNSlcLSzRQ0zXnH1uBhuiIioQoo1WszYfAbfbDpTqe27NPHAp882RxMvFxNXRo/DSWmL5FfaYkKflmg97sHTPUb/fKjM1WrnJ1fN5zoy3BARURnZ+cWYuzUTqw9eASAg77b6oeu7OSoQ91QjvNzeD9cKSuDr5gAHOzm0OkF/V12q2lztFTg/+Vn8uv8y3l92AABQ01GBm6oHT8T2/3gNerepg8TegVVq7hPDDRFRNScIAq7mF2PUyoPYfuZ6hbaJDPTC5L6ty5xWAmBwhRGDjeXp09YXfdr6lhm/cusOrubfgYezPbp8tVk//vvBK/j94BUsG/oEQgOqxhXMDDdERNVM/h0NYhfsxr6sW0ZtN7VfGzwfVEe0e75Q1VLHzQF13BwAAGcn9US7ianIv3P/qE703J1V5jQVww0RUTVwu6QU/0s7jbTjOTibW/TI9Uf3aIp3whtCJuORFypLbiPDwcRIAMAHyw/i5313Hxy6P+smWvo4S1kaAIYbIiKrti/rJl6cueOh68Q91QhdmnigjV8N/W3/iSrq/15uow83L8zcgdMTIyWuiOGGiMjqnMguwHPfboe6VFfu66N7NMXQzgH6O/ESPa5X2vth6Z6LAFAl7kPHcENEZAVuqdQImpD6wNe/eqk1+rarCxtO8CUzGPdcC324WX/smsTVMNwQEVk0nU7Ax6sOYfnfl8p9fWq/NngpuK7IVVF1Y6+4fzrz281nMSxAwmLAcENEZLH+Op2L1+fvLjP+v1fb4rk2dSSoiKqz0Aa1sOvcDZzMuQ0w3BARkTG2nc7Da/N3GYwNDKuPMc8254RgkszgJxtg17kbAACpp90w3BARWYDrt0swcvlBbD2VazDu7qxE6sguqFnOzfSIxNS6rpv+z6UMN0RE9CCr9l1C/PKD5b726/BOCPJzE7cgogfwcLn/+IX8hz+tw+wYboiIqpiCYg3eWLAHf1+4We7rK98OQ4h/LZGrInq4fz9qI+2KDQZKWAvDDRFRFVFSqkXfWTtw5HJBmdf6tquLpBdbwc6W96ahqs9dKe15KYYbIiKJFaiBxp9tKDPuorTFb3GdEOAh/e3siSri1Q5++Gn3Rc65ISKqjgRBwNbTeRi8cA9KdYb/FHu4KLHto6d45RNZnHsPVdXqpL1ZJMMNEZHIzlwrRMS0reW+tmdMhMHETCJLci/cFJVKWwfDDRGRSEq1OnScvAnXCksMxgPddFj5fiQc7RlqyLLd0WgBAEdu8sgNEZHVO3jxFp6fsd1g7Nv+bfFU49rYuGGd/r94iSyZ3T/fYz8nTigmIrJaN4vUaDvR8IGWgzr6Y2yvQNjYyKDRaCSqjMj0Auu4AgC0nFBMRGR97qi1+OSXw/hl/2X9WKdGtfH1K23h7szTT2Sd7h25YbghIrIym07kYNiP+1Cs0enHJr3QCv1D60lYFZH56a+WEjjnhojIKvy46wLG/HLEYOyD7k0w7KlGBndvJbJWCvnd73mp7hErmhnDDRHRY0o9loOxvx3B1fxi/VhNRwXWj+wCTxd7CSsjEldzH1eM690cF08defTKZsRwQ0RUCYXFGgxfsr/MU7oBIL57E7zXrbEEVRFJy6+WIwZ08MPavMOS1sFwQ0RkhI3HcvDm93+X+1r6h13h7+4kckVE9F8MN0REFfDHoSuIW7K/3Nc+fbY53uwcIHJFRPQgDDdERA9RrNEifvkBrD2cbTDeum4N/PBmKFztFRJVRkQPwnBDRPQAy/++iNErDxmMTenbCtHteUk3UVXGcENE9B/Xb5cg+PONBmPf9m+LXq3rSFQRERmD4YaI6B86nYCPfj6EFXsvGYzzSd1EloXhhogIwOmcQnSfvtVgbPZr7dCjpY9EFRFRZTHcEFG1VlKqxagVh7D64BWD8cPjIuHCycJEFonhhoiqJXWpDot2nMcXa48bjK94Owzt/WtJVBURmQLDDRFVK1qdgLG/HcGPu7IMxsf0bI4hXXivGiJrYCN1ATNmzIC/vz/s7e0RGhqK3bt3P3T9W7duYfjw4fDx8YFSqUSTJk2wdu1akaolIkt25tptNPxkbZlgs+a9JxlsiKyIpEduli1bhvj4eMyePRuhoaFITk5GVFQUTp48CU9PzzLrq9VqdO/eHZ6enli5ciV8fX1x4cIFuLm5iV88EVmU5XsuYvTP9+9Z0z3QCxOebwGfGg4SVkVE5iBpuJk2bRqGDBmC2NhYAMDs2bOxZs0apKSk4OOPPy6zfkpKCm7cuIEdO3ZAobg70c/f31/MkonIwvx1Ohevzzc8Ipz2QTgaejhLVBERmZtk4UatVmPv3r1ISEjQj9nY2CAiIgIZGRnlbrN69WqEhYVh+PDh+O233+Dh4YH+/fvjo48+glwuL3ebkpISlJSU6JcLCgoAABqNBhqNxoSfCPr9mXq/ZIh9Foel91kQBMz96zympp7WjzXzdsGKoR1gr5BXmc9l6X22JOy1OMzVZ2P2J1m4ycvLg1arhZeXl8G4l5cXTpw4Ue42mZmZ2LRpEwYMGIC1a9fizJkzGDZsGDQaDRITE8vdJikpCePHjy8zvmHDBjg6Oj7+BylHamqqWfZLhthncVhin++UAh/vMfzn7Z3mWjRzu4lNqeslqurhLLHPloq9Foep+6xSqSq8rkVdLaXT6eDp6Ym5c+dCLpcjODgYly9fxldfffXAcJOQkID4+Hj9ckFBAfz8/BAZGQlXV1eT1qfRaJCamoru3bvrT5uR6bHP4rDUPp/KKcTbPx4AcAcA8GnPphj4RD3IZDJJ63oQS+2zJWKvxWGuPt8781IRkoUbd3d3yOVy5OTkGIzn5OTA29u73G18fHygUCgMTkE1b94c2dnZUKvVsLOzK7ONUqmEUln2tukKhcJsX25z7pvuY5/FYSl9vnRThSenbDYY+6hHM7zZpaFEFRnHUvpsDdhrcZi6z8bsS7JLwe3s7BAcHIy0tDT9mE6nQ1paGsLCwsrdplOnTjhz5gx0Op1+7NSpU/Dx8Sk32BCR9dPqBMSk7DYINna2Ntj9STe809Uygg0RmZak97mJj4/HvHnzsGjRIhw/fhzvvPMOioqK9FdPDRw40GDC8TvvvIMbN25gxIgROHXqFNasWYNJkyZh+PDhUn0EIpJQvkqDvrN2YMupXP3YqKimODmxBzxd7SWsjIikJOmcm+joaOTm5mLs2LHIzs5GUFAQ1q1bp59knJWVBRub+/nLz88P69evx8iRI9G6dWv4+vpixIgR+Oijj6T6CEQkkXlbMw0enfBUUw98F9MecpuqObeGiMQj+YTiuLg4xMXFlftaenp6mbGwsDDs3LnTzFURUVWk1QmIXbgHW/91pAYA1r7XGYF1THuBABFZLsnDDRFRRSzcfg7jfj9WZnzXJ93gxVNQRPQvDDdEVKWVanX46OfD+HnfJYPxP959Ei19a0hUFRFVZQw3RFRlnc8rQtep6QZj37/RAV2aeEhTEBFZBIYbIqqSpqWewv/S7j86YdaAdnimlY+EFRGRpWC4IaIq5UaRGhHTtuBGkVo/NqM/gw0RVRzDDRFVGdtO5+G1+bv0y819XPF7XCfYyiW9JRcRWRiGGyKSnE4nYPzvR7Eo44J+bNnQJxAaUFvCqojIUjHcEJGkDl/KR+9vtxmM7RkTAQ+Xss+EIyKqCIYbIpLEtYJidJiUZjDWs5U3kqPbws6Wp6GIqPIYbohIdKdzCtF9+laDsXkDQ9A90EuiiojImjDcEJFoBEHABysOYtW+y/qx/qH1MP65FlBw0jARmQjDDRGJ4kaRGu0mpuqXFXIZdnzcjXNriMjkGG6IyOx2n7uBl+dk6Jfb1nPDirfCeIk3EZkFww0RmdWyPVn46OfD+mXOrSEic2O4ISKzEAQBbyzcg80nc/VjOxO6wbsGn+BNRObFcENEJpd2PAeDF/2tX25TtwZWvN2Rl3gTkSgYbojIZARBwGvzd2H7mev6sUEd/THuuRYSVkVE1Q3DDRGZhE4nYMSyAwbBZsmQUHRs6C5hVURUHTHcENFju1mkRtt/XeYd2qAWfhryBGxsZBJWRUTVFcMNET2W7/7KxOdrjuuXJ73QCv1D60lYERFVdww3RFQpWp2AfrN3YF/WLf3YrAHt8EwrH+mKIiICww0RVUJBsQatx23QL3dt6oGvo9uihqNCwqqIiO5iuCEio2ScvY5X5+3UL4/u0RTDujaSsCIiIkMMN0RUIcUaLZ6cshl5t0v0Y7NfC0aPlt4SVkVEVBbDDRE90plrtxExbYvBWPqHXeHv7iRRRURED8ZwQ0QPtXhnFiasOaFfDm1QC0uHPgGZjJd5E1HVxHBDRA+UfESOc4X3g83a9zojsI6rhBURET0aww0RlSEIAl6euwvnCu8fnTk0LhKu9rwaioiqPoYbIjKg1Ql454e92H8xXz+WOakn7zZMRBaD4YaI9Io1WnT5cjOuFd69IircW4fvhvdgsCEii8JwQ0QAgPw7Grw4c7s+2PwvujWErH0SV0VEZDwbqQsgIuldv12CjklpOJtbBAD48qXWeIb3ryEiC8UjN0TV3JHL+ej1zTb98i/DOqJtvZrQaDQSVkVEVHkMN0TV2G8HLmPE0gP65bQPwtHQw1m6goiITICnpYiqqe1n8gyCze9xTzLYEJFV4JEbomrog+UH8fO+S/rlYxOi4GjHfw6IyDrwXzOiaqSkVIvAseuh1QkAAF83B2z6MBxKW7nElRERmU6VOC01Y8YM+Pv7w97eHqGhodi9e/cD1124cCFkMpnBj729vYjVElmmizdUaPrpOn2wAYD0UV0ZbIjI6kgebpYtW4b4+HgkJiZi3759aNOmDaKionDt2rUHbuPq6oqrV6/qfy5cuCBixUSW51ROITp/uVm//PEzzXB+8rNQyCX/J4CIyOQk/5dt2rRpGDJkCGJjYxEYGIjZs2fD0dERKSkpD9xGJpPB29tb/+Pl5SVixUSWJePsdURO36pfXjy4A94ObyhhRURE5iXpnBu1Wo29e/ciISFBP2ZjY4OIiAhkZGQ8cLvbt2+jfv360Ol0aNeuHSZNmoQWLVqUu25JSQlKSkr0ywUFBQAAjUZj8vt43Nsf7w9iXuxzxc3ffh6T153SL2/5oDPquDlUqHfsszjYZ/Gw1+IwV5+N2Z9MEATh0auZx5UrV+Dr64sdO3YgLCxMPz569Ghs2bIFu3btKrNNRkYGTp8+jdatWyM/Px9Tp07F1q1bcfToUdStW7fM+uPGjcP48ePLjC9ZsgSOjo6m/UBEVci+PBkWnb4/n2ZSSCmc+FBvIrJQKpUK/fv3R35+PlxdXR+6rsVdLRUWFmYQhDp27IjmzZtjzpw5mDhxYpn1ExISEB8fr18uKCiAn58fIiMjH9kcY2k0GqSmpqJ79+5QKPhbxFzY50f7ZtNZLDp9Vr98ZGw3KBXGTRxmn8XBPouHvRaHufp878xLRUgabtzd3SGXy5GTk2MwnpOTA2/vij3XRqFQoG3btjhz5ky5ryuVSiiVynK3M9eX25z7pvvY5/J991cm/rf5brDp3Ngdi2I7PNZTvdlncbDP4mGvxWHqPhuzL0knFNvZ2SE4OBhpaWn6MZ1Oh7S0NIOjMw+j1Wpx+PBh+Pj4mKtMIosxbcNJfL7mOACgZytvfP/G4wUbIiJLJPlpqfj4eMTExCAkJAQdOnRAcnIyioqKEBsbCwAYOHAgfH19kZSUBACYMGECnnjiCTRq1Ai3bt3CV199hQsXLuDNN9+U8mMQSUoQBDRIWKtffim4Lr56qTVkMgYbIqp+JA830dHRyM3NxdixY5GdnY2goCCsW7dOf3l3VlYWbGzuH2C6efMmhgwZguzsbNSsWRPBwcHYsWMHAgMDpfoIRJJSl+rQ5NM/9csfRjZB3NONJayIiEhakocbAIiLi0NcXFy5r6WnpxssT58+HdOnTxehKqKqr1Srwzs/7NUvt63nxmBDRNVelQg3RGS8Yo0WzT5bp18e0a0xRnZvImFFRERVA8MNkQXKzL2Np/9vi375u4EhiAjknbqJiIAq8PgFIjJOxtnrBsHm1Q71GGyIiP6FR26ILMi8rZn4Yu1x/fLSoU/giYDaElZERFT1MNwQWYhNJ3IMgs2eMRHwcCl7g0oiouqO4YbIAizbk4WPfj6sXz79xTNQyHlWmYioPAw3RFXc1xtPY/rGu0/29q/tiNT4cAYbIqKHYLghqqJ0OgFDF/+NjcevAQBkMmBjfDhsGWyIiB6K4YaoCvrvPWyeauqBlEHt+TgFIqIKYLghqmKKSkoRNGGDfvn1J+pjYp+WElZERGRZGG6IqhCVuhQtEtfrl8f2CsQbTzaQsCIiIsvDcENURWi0OryxcI9++achTyCsIe9hQ0RkLM5MJKoCdDoBby76GzszbwAAvn4liMGGiKiSeOSGSGL/nTycMigETzfj4xSIiCqLR26IJKTR6tB31g798sQ+LRlsiIgeE4/cEElEqxPw/LfbcexqAQBgXO9AvP5EfYmrIiKyfAw3RBLQ6QR0+GIjrhepAQCzX2uHHi19JK6KiMg68LQUkcgEQcBLs3fog83E51sw2BARmRDDDZHIxq0+in1ZtwAAA8Pq4/Uwf0nrISKyNjwtRSSiH3ZewKKMCwCAYV0bYnSPZhJXRERkfRhuiESS+NsRfbB59+lG+CCyqcQVERFZJ56WIhLBwu3n9MGmdd0aiO/eROKKiIisF4/cEJnZnC1nkfTnCQBAcx9X/Da8E5/uTURkRgw3RGY09rcj+P6fIzbhTTywMLY9gw0RkZnxtBSRmWw9lasPNgAwb2AIgw0RkQgYbojMYPnfFzEwZbd++cTEHrCz5f/diIjEwH9tiUzs4g0VRq88BACo6ajAqc+fgb1CLnFVRETVB8MNkQldvKFC5y8365c3fdCVR2yIiETGf3WJTORGkdog2OxM6IaaTnYSVkREVD0x3BCZQEGxBu0mpuqX/3j3SXjXsJewIiKi6ouXghM9Jp1OwDPJf+mXN8Z3QSNPFwkrIiKq3njkhugxTd1wEpdv3QEAjO7RlMGGiEhiPHJD9BiGfP83Uo/lAAC+fiUIzwf5SlwRERHxyA1RJS3eeUEfbF4KrstgQ0RURTDcEFXCDzsv4LNfjwAAguvXxJd9W0tcERER3cPTUkRGOnalAJ/+E2z4vCgioqqnUkduSktLsXHjRsyZMweFhYUAgCtXruD27dsmLY6oqrmafwcvzd6hX57zejCDDRFRFWN0uLlw4QJatWqF559/HsOHD0dubi4AYMqUKfjwww8rVcSMGTPg7+8Pe3t7hIaGYvfu3Y/eCMDSpUshk8nQp0+fSr0vkTHuqLXo8uVmqNRa1Hayw8GxkXysAhFRFWR0uBkxYgRCQkJw8+ZNODg46MdfeOEFpKWlGV3AsmXLEB8fj8TEROzbtw9t2rRBVFQUrl279tDtzp8/jw8//BCdO3c2+j2JjCUIAkatPAiNVgAA/PxOR9RwVEhcFRERlcfocPPXX3/h008/hZ2d4W3l/f39cfnyZaMLmDZtGoYMGYLY2FgEBgZi9uzZcHR0REpKygO30Wq1GDBgAMaPH4+AgACj35PIWDPTz+KPQ1dhayPD8rfC4O/uJHVJRET0AEZPKNbpdNBqtWXGL126BBcX425eplarsXfvXiQkJOjHbGxsEBERgYyMjAduN2HCBHh6emLw4MH466+/HrgeAJSUlKCkpES/XFBQAADQaDTQaDRG1fso9/Zn6v2SIbH7vGDHBXy1/iQAILFXc7St61It/o75fRYH+ywe9loc5uqzMfszOtxERkYiOTkZc+fOBQDIZDLcvn0biYmJ6Nmzp1H7ysvLg1arhZeXl8G4l5cXTpw4Ue4227Ztw/z583HgwIEKvUdSUhLGjx9fZnzDhg1wdHQ0qt6KSk1NffRK9NjE6PPB6zKknLo7r6ZlTR1ccw9h7dpDZn/fqoTfZ3Gwz+Jhr8Vh6j6rVKoKr2t0uJk6dSp69OiBwMBAFBcXo3///jh9+jTc3d3x008/Gbs7oxQWFuL111/HvHnz4O7uXqFtEhISEB8fr18uKCiAn58fIiMj4erqatL6NBoNUlNT0b17dygUnI9hLmL1+c8j2UjJuB9klo+IhEJefW4Nxe+zONhn8bDX4jBXn++deakIo8ONn58fDh48iGXLluHgwYO4ffs2Bg8ejAEDBhhMMK4Id3d3yOVy5OTkGIzn5OTA29u7zPpnz57F+fPn0bt3b/2YTqe7+0FsbXHy5Ek0bNjQYBulUgmlUllmXwqFwmxfbnPum+4zZ5+zrqvw3rL7webU58/Azrb6BJt/4/dZHOyzeNhrcZi6z8bsy6hwo9Fo0KxZM/zxxx8YMGAABgwYYHRx/2ZnZ4fg4GCkpaXpL+fW6XRIS0tDXFxcmfWbNWuGw4cPG4x9+umnKCwsxNdffw0/P7/HqocIuHvJ99DFf+uXD46NrLbBhojIEhkVbhQKBYqLi01aQHx8PGJiYhASEoIOHTogOTkZRUVFiI2NBQAMHDgQvr6+SEpKgr29PVq2bGmwvZubGwCUGSeqDEEQ8PGqQziRXQh3Zzv8/u6TvOSbiMjCGH1aavjw4ZgyZQq+++472No+/tMboqOjkZubi7FjxyI7OxtBQUFYt26dfpJxVlYWbGz4X80kjoU7zuO3A1cgt5Hh2/7t4FPDuFOtREQkPaPTyZ49e5CWloYNGzagVatWcHIyvN/HqlWrjC4iLi6u3NNQAJCenv7QbRcuXGj0+xGVZ8XfFzH+92MAgDE9m+OJgNoSV0RERJVhdLhxc3ND3759zVELkWQuXC/CqJV3JxD3aOGN2E7+0hZERESVZnS4WbBggTnqIJKMSl2Ktxbv1S9Pi27Dh2ESEVmwSk+ayc3NxcmTd+/a2rRpU3h4eJisKCKxCIKAHsl/IeuGCu7OSvzx7pNwtHv8uWRERCQdo2fqFhUV4Y033oCPjw+6dOmCLl26oE6dOhg8eLBRdw8kqgom/3kCWTfufm9nDmgH7xr2EldERESPy+hwEx8fjy1btuD333/HrVu3cOvWLfz222/YsmULPvjgA3PUSGQW28/kYc7WTADAG50aoEODWhJXREREpmD08feff/4ZK1euRNeuXfVjPXv2hIODA15++WXMmjXLlPURmcXlW3fw7k/7AQD9guvis17NJa6IiIhMxehwo1KpyjzoEgA8PT15WoosQrFGi06TNwEAmvu4YmKflpxATERkRYw+LRUWFobExESDOxXfuXMH48ePR1hYmEmLIzKHe/eyAYA5rwXDXiGXsBoiIjI1o4/cfP3114iKikLdunXRpk0bAMDBgwdhb2+P9evXm7xAIlNate8SftqdBQBIGRSCerUdJa6IiIhMzehw07JlS5w+fRo//vgjTpw4AQB49dVXK/VUcCIxncopxJhfjgAARnRrjKeblT29SkRElq9SN/RwdHTEkCFDTF0LkdncLinF2z/sxR2NFp0bu+O9bo2lLomIiMzE6Dk3SUlJSElJKTOekpKCKVOmmKQoIlMSBAEtE9cjM7cIni5KJEcHQW7DCcRERNbK6HAzZ84cNGvWrMx4ixYtMHv2bJMURWRKc/+5lw0AJEcHobazUsJqiIjI3IwON9nZ2fDx8Skz7uHhgatXr5qkKCJT+fv8DXy5/u5jQnq19kHHRu4SV0REROZmdLjx8/PD9u3by4xv374dderUMUlRRKZwo0iNuCX7odUJeK5NHXzzalupSyIiIhEYPaF4yJAheP/996HRaPD0008DANLS0jB69Gg+foGqDJ1OQOT0Lci7rUaAhxMmvdiKN+ojIqomjA43o0aNwvXr1zFs2DCo1WoAgL29PT766CMkJCSYvECiyhi5/ADybt/9fs4c0A7OSj7pm4ioujD6X3yZTIYpU6bgs88+w/Hjx+Hg4IDGjRtDqeQkTaoaftqdhd8OXAEAjIpqimberhJXREREYjJ6zs09zs7OaN++PVxcXHD27FnodDpT1kVUKadzCpGw6jAAIDrED8OfaiRxRUREJLYKh5uUlBRMmzbNYGzo0KEICAhAq1at0LJlS1y8eNHkBRJVlEpdimE/7gMABNeviUkvtpK4IiIikkKFw83cuXNRs2ZN/fK6deuwYMECfP/999izZw/c3Nwwfvx4sxRJ9CiCICBw7HqcvnYbni5KzHk9mDfqIyKqpio85+b06dMICQnRL//22294/vnnMWDAAADApEmTEBsba/oKiSogZft5/Z+/fqUt3HmjPiKiaqvCR27u3LkDV9f7EzN37NiBLl266JcDAgKQnZ1t2uqIKuDI5XxM+fPuQ1yfD6qDsIa1Ja6IiIikVOFwU79+fezduxcAkJeXh6NHj6JTp07617Ozs1GjRg3TV0j0EEUlpXjvp/1Qa3WIaO6F5OggqUsiIiKJVfi0VExMDIYPH46jR49i06ZNaNasGYKDg/Wv79ixAy1btjRLkUQPMv73o8jMK4K3qz2+eqk1b9RHREQVDzejR4+GSqXCqlWr4O3tjRUrVhi8vn37drz66qsmL5DoQb7ZdBbL/74EmQyYHh2Emk52UpdERERVQIXDjY2NDSZMmIAJEyaU+/p/ww6ROV1VAf/LOAsAeCe8IefZEBGRXqVv4kcklRKNFotOy/XL8d2bSFgNERFVNQw3ZHG+Sj2NqyoZajvZYc+YCNjK+TUmIqL7+FuBLMrmE9ewKCMLADD5xRbwcOH9bIiIyBDDDVmMa4XFeH/ZAQBAF28dujbxkLYgIiKqkox+KjiRFLQ6AeFfpuOORgsvFyWeq18kdUlERFRFmezIzcWLF/HGG2+YandEBub9lYk7Gi0AYP7AdlDwmCMRET2AyX5F3LhxA4sWLTLV7oj0jlzOx/9tOAkAmPxiKzT1dpG4IiIiqsoqfFpq9erVD309MzPzsYsh+q87ai1GLN0PjVZAVAsvRLf3Q2lpqdRlERFRFVbhcNOnTx/IZDIIgvDAdXjrezK1SWuP42xuETxdlJj8Ih+vQEREj1bh01I+Pj5YtWoVdDpduT/79u0zZ51UDf2y/xIW77wAAJjarw0fr0BERBVS4XATHBysfyp4eR51VOdhZsyYAX9/f9jb2yM0NBS7d+9+4LqrVq1CSEgI3Nzc4OTkhKCgICxevLhS70tVV05BMUYuOwgAiAmrjy687JuIiCqowqelRo0ahaKiB19+26hRI2zevNnoApYtW4b4+HjMnj0boaGhSE5ORlRUFE6ePAlPT88y69eqVQtjxoxBs2bNYGdnhz/++AOxsbHw9PREVFSU0e9PVY9OJ+DDFQf1ywk9m0tYDRERWZoKH7np3LkzevTo8cDXnZycEB4ebnQB06ZNw5AhQxAbG4vAwEDMnj0bjo6OSElJKXf9rl274oUXXkDz5s3RsGFDjBgxAq1bt8a2bduMfm+qmr7POI+/TudBaWuDjfFdYK+QP3ojIiKif1T4yE1mZiYaNGhg0gmdarUae/fuRUJCgn7MxsYGERERyMjIeOT2giBg06ZNOHnyJKZMmVLuOiUlJSgpKdEvFxQUAAA0Gg00Gs1jfgJD9/Zn6v1WJ6ev3UbSnycAAB9FNUH9mvZl+sk+i4N9Fgf7LB72Whzm6rMx+5MJFZwoI5fLcfXqVf2poujoaPzvf/+Dl5dX5aoEcOXKFfj6+mLHjh0ICwvTj48ePRpbtmzBrl27yt0uPz8fvr6+KCkpgVwux8yZMx94A8Fx48Zh/PjxZcaXLFkCR0fHStdOpleqA6YfkeNSkQzNaujwdnMdeHEUEREBgEqlQv/+/ZGfnw9XV9eHrlvhIzf/zUBr165FUlJS5Sp8TC4uLjhw4ABu376NtLQ0xMfHIyAgAF27di2zbkJCAuLj4/XLBQUF8PPzQ2Rk5CObYyyNRoPU1FR0794dCoXCpPuuDl6YtROXigrg5qDAd0PD4OVqX+567LM42GdxsM/iYa/FYa4+3zvzUhGSPlvK3d0dcrkcOTk5BuM5OTnw9vZ+4HY2NjZo1KgRACAoKAjHjx9HUlJSueFGqVRCqSz75GiFQmG2L7c5922t9py/gSNX7n5xJ/Rpibq1H30XYvZZHOyzONhn8bDX4jB1n43ZV4UnFMtksjLzbR53/o2dnR2Cg4ORlpamH9PpdEhLSzM4TfUoOp3OYF4NWRaVulR/dZS7sx2ea1NH4oqIiMiSGXVaatCgQfqjIMXFxXj77bfh5ORksN6qVauMKiA+Ph4xMTEICQlBhw4dkJycjKKiIsTGxgIABg4cCF9fX/0psKSkJISEhKBhw4YoKSnB2rVrsXjxYsyaNcuo96WqY/KfJ3Dhugo+NeyxfmQXqcshIiILV+FwExMTY7D82muvmaSA6Oho5ObmYuzYscjOzkZQUBDWrVunn6iclZUFG5v7B5iKioowbNgwXLp0CQ4ODmjWrBl++OEHREdHm6QeEtf2M3n4PuPuXYin9G0NV3seKiYiosdT4XCzYMECsxURFxeHuLi4cl9LT083WP7888/x+eefm60WEk9hsQajVx4CAAwIrce7EBMRkUlUeM4Nkal9seY4Lt+6A79aDviEdyEmIiITYbghSWw+eQ1L91wEAHz1Uhs4KSW9cI+IiKwIww2JLl+lwcc/3z0dFdvJH08E1Ja4IiIisiYMNyS68b8fRU5BCRq4O2F0VDOpyyEiIivDcEOi2nA0G6v2X4aNDJjarw0c7PhQTCIiMi2GGxJN3u0SDF28FwAwpEsAguvXlLgiIiKyRgw3JJqP/rnsGwBGRjSRsBIiIrJmDDckinVHspF24hoA4JdhHWGv4OkoIiIyD4YbMrtbKjU+++0IAGBY14ZoW4+no4iIyHwYbsjsJv5xHLmFJWjo4YT3ujWWuhwiIrJyDDdkVptPXsPP+y5BJgO+fKkNT0cREZHZMdyQ2RQWazBm1WEAwBudGvDqKCIiEgXDDZnN5D9P4Ep+MerVcsSHkU2lLoeIiKoJhhsyix1n8/DjriwAwOS+rXizPiIiEg3DDZmcSl2Kj3++ezpqQGg9dGzoLnFFRERUnTDckMn934ZTyLqhQp0a9vj4GT47ioiIxMVwQyb124HLmL/tHABg0out4GKvkLgiIiKqbhhuyGSKNVqMWHoAABDk54auTT2lLYiIiKolhhsyma/TTuv/PHdgsISVEBFRdcZwQyZx7EoB5m7NBADMeT0Yni72EldERETVFcMNPTatTkDCqkPQ6gT0aOGNqBbeUpdERETVGMMNPbaFO87j4KV8uNjbYvzzLaQuh4iIqjmGG3osl26q8H8bTgIAEp5pDi9Xno4iIiJpMdxQpQmCgE9/PQKVWosO/rXwSns/qUsiIiJiuKHKW33wCtJP5sJOboNJL7aCjY1M6pKIiIgYbqhybhapMf73YwCAuKcboZGns8QVERER3WUrdQFkmdpOTAUAuNjb4u3whhJXQ0REdB+P3JDRNhzN1v955oB2sLPl14iIiKoO/lYio9wuKUXi6qMAgD5BddC5sYfEFRERERliuCGjTE89hav5xfCr5YCkF1tLXQ4REVEZDDdUYUcu52PB9rtP/J74fEs42MklroiIiKgshhuqkFKtDgmrDkMnAL3b1OETv4mIqMpiuKEK+T7jAg5fzoervS0+69Vc6nKIiIgeiOGGHunKrTuY+s8jFj5+pjmf+E1ERFUaww09Uu9vtkGl1qKxpzMfsUBERFUeww09VNrxHFwvUgMA/vdqWz5igYiIqjyGG3qgYo0WE/64+4iFN59sgOY+rhJXRERE9GhVItzMmDED/v7+sLe3R2hoKHbv3v3AdefNm4fOnTujZs2aqFmzJiIiIh66PlXe/G3ncOG6Cp4uSrzfvYnU5RAREVWI5OFm2bJliI+PR2JiIvbt24c2bdogKioK165dK3f99PR0vPrqq9i8eTMyMjLg5+eHyMhIXL58WeTKrduVW3fw7aYzAIBPejaHs5KPISMiIssgebiZNm0ahgwZgtjYWAQGBmL27NlwdHRESkpKuev/+OOPGDZsGIKCgtCsWTN899130Ol0SEtLE7ly6/bF2uO4o9GivX9NPB9UR+pyiIiIKkzS/xxXq9XYu3cvEhIS9GM2NjaIiIhARkZGhfahUqmg0WhQq1atcl8vKSlBSUmJfrmgoAAAoNFooNFoHqP6su7tz9T7FdvOzBtYc+gqbGTApz2borS0VOqSDFhLn6s69lkc7LN42GtxmKvPxuxP0nCTl5cHrVYLLy8vg3EvLy+cOHGiQvv46KOPUKdOHURERJT7elJSEsaPH19mfMOGDXB0dDS+6ApITU01y37FoNUBXx6SA5Cho6cO5/dvw/n9UldVPkvusyVhn8XBPouHvRaHqfusUqkqvK5FT6SYPHkyli5divT0dNjbl39juYSEBMTHx+uXCwoK9PN0XF1Ne/WPRqNBamoqunfvDoVCYdJ9i2VhxgVk3zmJmo4KTH/jSbg5Vr3PYQ19tgTsszjYZ/Gw1+IwV5/vnXmpCEnDjbu7O+RyOXJycgzGc3Jy4O3t/dBtp06dismTJ2Pjxo1o3frBT6dWKpVQKpVlxhUKhdm+3ObctznlFpbgf2lnAQCjoprBo4Z5jmyZiqX22dKwz+Jgn8XDXovD1H02Zl+STii2s7NDcHCwwWTge5ODw8LCHrjdl19+iYkTJ2LdunUICQkRo9Rq4ct1J1BYUoqWvq6I5p2IiYjIQkl+Wio+Ph4xMTEICQlBhw4dkJycjKKiIsTGxgIABg4cCF9fXyQlJQEApkyZgrFjx2LJkiXw9/dHdnY2AMDZ2RnOzs6SfQ5Ltz/rJlbsvQQAGP9cS8h5J2IiIrJQkoeb6Oho5ObmYuzYscjOzkZQUBDWrVunn2SclZUFG5v7B5hmzZoFtVqNl156yWA/iYmJGDdunJilWw2dTkDi6qMAgL7t6iK4fk2JKyIiIqo8ycMNAMTFxSEuLq7c19LT0w2Wz58/b/6Cqpnlf1/EoUv5cFba4qNnmkpdDhER0WOR/CZ+JK18lQZfrj8JAHg/ojE8Xcq/6oyIiMhSMNxUc9NST+JGkRqNPZ0R09Ff6nKIiIgeG8NNNXb8agEW77wAABj3XAso5Pw6EBGR5eNvs2pKEAQk/nYUOgHo2cobnRq5S10SERGRSTDcVFOrD17B7vM3YK+wwZhnA6Uuh4iIyGQYbqqhopJSTFp7HAAwvGsj+Lo5SFwRERGR6TDcVEPfbDqDnIIS1KvliCFdAqQuh4iIyKQYbqqZzNzbmL8tEwAwtlcg7BVyiSsiIiIyLYabakQQBIz//Rg0WgFdm3qgW3NPqUsiIiIyOYabamTj8WvYcioXCrkMY3sFQibj86OIiMj6MNxUE+pSHb5YcwwA8GbnAAR48CGjRERknRhuqokfdl7A+esquDsrMfypRlKXQ0REZDYMN9VAvkqD/206DQD4ILIJnJVV4nmpREREZsFwUw18u/k0bqk0aOLljH7BdaUuh4iIyKwYbqxc1nUVFu24+/yohJ7NYcvnRxERkZXjbzor9+X6E1Brdejc2B1dm3hIXQ4REZHZMdxYsX1ZN/HHoauQyYCEZ5rz0m8iIqoWGG6slCAI+GLN3edHvdSuLgLruEpcERERkTgYbqzUuiPZ2HvhJhwUcnwQ2VTqcoiIiETDcGOF1KU6TF53AgAwpEsAvGvYS1wRERGReBhurNDinRdw4Z8b9r3Fp34TEVE1w3BjZfJVGvwv7f4N+5x4wz4iIqpmGG6szLebTyP/jgZNvVzwcoif1OUQERGJjuHGihjesK8Z5Da89JuIiKofhhsrMuVfN+wL5w37iIiommK4sRJ7L9zEmn9u2PdJT96wj4iIqi+GGysgCAImrb17w75+wXXR3Ic37CMiouqL4cYK/Mkb9hEREekx3Fg4dakOk/+8e8O+oV0C4OXKG/YREVH1xnBj4RbvvICsGyp4uCgxlDfsIyIiYrixZAXFGnyz6e4N++K784Z9REREAMONRftuayZuqTRo6OGEfsF1pS6HiIioSmC4sVC5hSX4bts5AMCoqKawlfOvkoiICGC4sVgzNp+BSq1Fm7o1ENXCW+pyiIiIqgyGGwt06aYKS3ZlAQBGRTXjDfuIiIj+heHGAiVvPA21VoeODWvjycbuUpdDRERUpTDcWJjTOYVYte8SgLtzbYiIiMiQ5OFmxowZ8Pf3h729PUJDQ7F79+4Hrnv06FH07dsX/v7+kMlkSE5OFq/QKmLqhpPQCUBUCy+0rVdT6nKIiIiqHEnDzbJlyxAfH4/ExETs27cPbdq0QVRUFK5du1bu+iqVCgEBAZg8eTK8vavfJNoDF29h/dEc2MiAD/mYBSIionJJGm6mTZuGIUOGIDY2FoGBgZg9ezYcHR2RkpJS7vrt27fHV199hVdeeQVKpVLkaqX31fq7j1l4oW1dNPZykbgaIiKiqkmyW9qq1Wrs3bsXCQkJ+jEbGxtEREQgIyPDZO9TUlKCkpIS/XJBQQEAQKPRQKPRmOx97u3z3/9rStvPXsf2M9ehkMsQ17WBWd7DUpizz3Qf+ywO9lk87LU4zNVnY/YnWbjJy8uDVquFl5eXwbiXlxdOnDhhsvdJSkrC+PHjy4xv2LABjo6OJnuff0tNTTXp/gQBmHZYDkCGMA8tDmVsxiGTvoNlMnWfqXzsszjYZ/Gw1+IwdZ9VKlWF17X6hxElJCQgPj5ev1xQUAA/Pz9ERkbC1dXVpO+l0WiQmpqK7t27Q6FQmGy/64/mIGvnQTjayTElJhzuztXvlNy/mavPZIh9Fgf7LB72Whzm6vO9My8VIVm4cXd3h1wuR05OjsF4Tk6OSScLK5XKcufnKBQKs325TblvrU5A8qazAIDBTzaAT01nk+zXGpjz75DuY5/FwT6Lh70Wh6n7bMy+JJtQbGdnh+DgYKSlpenHdDod0tLSEBYWJlVZVc6qfZdw5tptuDkqMKRLgNTlEBERVXmSnpaKj49HTEwMQkJC0KFDByQnJ6OoqAixsbEAgIEDB8LX1xdJSUkA7k5CPnbsmP7Ply9fxoEDB+Ds7IxGjRpJ9jnMpaRUi+SNpwEA74Q3hKs9/0uDiIjoUSQNN9HR0cjNzcXYsWORnZ2NoKAgrFu3Tj/JOCsrCzY29w8uXblyBW3bttUvT506FVOnTkV4eDjS09PFLt/sftyZhcu37sDLVYmYjv5Sl0NERGQRJJ9QHBcXh7i4uHJf+29g8ff3hyAIIlQlPZW6FDPTzwAA3uvWGPYKucQVERERWQbJH79A5VuccQF5t9WoV8sRL4f4SV0OERGRxWC4qYKKSkoxZ2smAODdpxtBIedfExERUUXxt2YVtCjjPG4UqeFf2xEvtPWVuhwiIiKLwnBTxRQWazD3n6M2IyIaw5ZHbYiIiIzC35xVzMLt53FLpUGAhxOea8OjNkRERMZiuKlC8u9oMO+vf47adGsMuY1M4oqIiIgsD8NNFbJg+zkUFJeisaczerWuI3U5REREFonhporIV2kw/69zAID3I5rwqA0REVElMdxUEd9ty0RhSSmaebvgmZame3AoERFRdcNwUwXcLFIjZdu9ozaNYcOjNkRERJXGcFMFzP0rE0VqLQJ9XBEZyKM2REREj4PhRmLXb5dg0Y7zAICR3ZvwqA0REdFjYriR2NytmVCptWjlWwMRzT2lLoeIiMjiMdxIKLewBIsyzgMARnZvDJmMR22IiIgeF8ONhGZvOYtijQ5t/NzwVFMetSEiIjIFhhuJXCssxg87LwAARkbwqA0REZGpMNxI5Lu/zqGkVIcgPzeEN/GQuhwiIiKrwXAjgeu3S7A44+5Rm/e6NeJRGyIiIhNiuJHA/G3ncEejRUtfV861ISIiMjGGG5HdUqnx/T9Hbd59mnNtiIiITI3hRmQp28/j9j/PkOre3EvqcoiIiKwOw42ICoo1WLD97jOk3n2az5AiIiIyB4YbEX2/4zwKi0vRyNOZT/4mIiIyE4YbkdwuKcV32+4dtWnEozZERERmwnAjkh92XsAtlQYN3J3Qq3UdqcshIiKyWgw3IlCpSzFvayYAYFjXhpDzqA0REZHZMNyIYMmuLFwvUsOvlgP6tPWVuhwiIiKrxnBjZsUaLeboj9o0gkLOlhMREZkTf9Oa2bI9F5FbWII6NezRt11dqcshIiKyegw3ZqQu1WHOlrMAgLe7NoSdLdtNRERkbvxta0a/HbiMK/nFcHdW4uUQP6nLISIiqhYYbsxEqxMw65+jNm92bgB7hVziioiIiKoHhhszWX80G5m5RXC1t8WA0HpSl0NERFRtMNyYgSAImLH5DABgUEd/uNgrJK6IiIio+mC4MYNtZ67j6JUCOCjkGNSpgdTlEBERVSsMN2Ywa+vdZ0j1D62HWk52EldDRERUvTDcmNjZAmDP+ZtQyGUY0jlA6nKIiIiqnSoRbmbMmAF/f3/Y29sjNDQUu3fvfuj6K1asQLNmzWBvb49WrVph7dq1IlX6aBsv321p33Z14V3DXuJqiIiIqh/Jw82yZcsQHx+PxMRE7Nu3D23atEFUVBSuXbtW7vo7duzAq6++isGDB2P//v3o06cP+vTpgyNHjohceVnHrhbg2C0b2MiAt8IbSl0OERFRtSR5uJk2bRqGDBmC2NhYBAYGYvbs2XB0dERKSkq563/99dfo0aMHRo0ahebNm2PixIlo164dvv32W5ErL2vu1vMAgGdaeqOBu5O0xRAREVVTtlK+uVqtxt69e5GQkKAfs7GxQUREBDIyMsrdJiMjA/Hx8QZjUVFR+PXXX8tdv6SkBCUlJfrlgoICAIBGo4FGo3nMT3DfubwirD2SDQB4s6OfSfdNhu71lj02L/ZZHOyzeNhrcZirz8bsT9Jwk5eXB61WCy8vL4NxLy8vnDhxotxtsrOzy10/Ozu73PWTkpIwfvz4MuMbNmyAo6NjJSsv68QtGVwUNvBzFpB1KANZh0y2a3qA1NRUqUuoFthncbDP4mGvxWHqPqtUqgqvK2m4EUNCQoLBkZ6CggL4+fkhMjISrq6uJnufngDeulOC1evT0L17dygUvHGfuWg0GqSmprLPZsY+i4N9Fg97LQ5z9fnemZeKkDTcuLu7Qy6XIycnx2A8JycH3t7e5W7j7e1t1PpKpRJKpbLMuEKhMPmX2wlADTvz7JvKYp/FwT6Lg30WD3stDlP32Zh9STqh2M7ODsHBwUhLS9OP6XQ6pKWlISwsrNxtwsLCDNYH7h76etD6REREVL1IfloqPj4eMTExCAkJQYcOHZCcnIyioiLExsYCAAYOHAhfX18kJSUBAEaMGIHw8HD83//9H5599lksXboUf//9N+bOnSvlxyAiIqIqQvJwEx0djdzcXIwdOxbZ2dkICgrCunXr9JOGs7KyYGNz/wBTx44dsWTJEnz66af45JNP0LhxY/z6669o2bKlVB+BiIiIqhDJww0AxMXFIS4urtzX0tPTy4z169cP/fr1M3NVREREZIkkv4kfERERkSkx3BAREZFVYbghIiIiq8JwQ0RERFaF4YaIiIisCsMNERERWRWGGyIiIrIqDDdERERkVRhuiIiIyKpUiTsUi0kQBADGPTq9ojQaDVQqFQoKCvjEWTNin8XBPouDfRYPey0Oc/X53u/te7/HH6bahZvCwkIAgJ+fn8SVEBERkbEKCwtRo0aNh64jEyoSgayITqfDlStX4OLiAplMZtJ9FxQUwM/PDxcvXoSrq6tJ9033sc/iYJ/FwT6Lh70Wh7n6LAgCCgsLUadOHYMHapen2h25sbGxQd26dc36Hq6urvw/jgjYZ3Gwz+Jgn8XDXovDHH1+1BGbezihmIiIiKwKww0RERFZFYYbE1IqlUhMTIRSqZS6FKvGPouDfRYH+ywe9locVaHP1W5CMREREVk3HrkhIiIiq8JwQ0RERFaF4YaIiIisCsMNERERWRWGGyPNmDED/v7+sLe3R2hoKHbv3v3Q9VesWIFmzZrB3t4erVq1wtq1a0Wq1LIZ0+d58+ahc+fOqFmzJmrWrImIiIhH/r3QXcZ+n+9ZunQpZDIZ+vTpY94CrYSxfb516xaGDx8OHx8fKJVKNGnShP92VICxfU5OTkbTpk3h4OAAPz8/jBw5EsXFxSJVa5m2bt2K3r17o06dOpDJZPj1118fuU16ejratWsHpVKJRo0aYeHChWavEwJV2NKlSwU7OzshJSVFOHr0qDBkyBDBzc1NyMnJKXf97du3C3K5XPjyyy+FY8eOCZ9++qmgUCiEw4cPi1y5ZTG2z/379xdmzJgh7N+/Xzh+/LgwaNAgoUaNGsKlS5dErtyyGNvne86dOyf4+voKnTt3Fp5//nlxirVgxva5pKRECAkJEXr27Cls27ZNOHfunJCeni4cOHBA5Moti7F9/vHHHwWlUin8+OOPwrlz54T169cLPj4+wsiRI0Wu3LKsXbtWGDNmjLBq1SoBgPDLL788dP3MzEzB0dFRiI+PF44dOyZ88803glwuF9atW2fWOhlujNChQwdh+PDh+mWtVivUqVNHSEpKKnf9l19+WXj22WcNxkJDQ4W33nrLrHVaOmP7/F+lpaWCi4uLsGjRInOVaBUq0+fS0lKhY8eOwnfffSfExMQw3FSAsX2eNWuWEBAQIKjVarFKtArG9nn48OHC008/bTAWHx8vdOrUyax1WpOKhJvRo0cLLVq0MBiLjo4WoqKizFiZIPC0VAWp1Wrs3bsXERER+jEbGxtEREQgIyOj3G0yMjIM1geAqKioB65Plevzf6lUKmg0GtSqVctcZVq8yvZ5woQJ8PT0xODBg8Uo0+JVps+rV69GWFgYhg8fDi8vL7Rs2RKTJk2CVqsVq2yLU5k+d+zYEXv37tWfusrMzMTatWvRs2dPUWquLqT6PVjtHpxZWXl5edBqtfDy8jIY9/LywokTJ8rdJjs7u9z1s7OzzVanpatMn//ro48+Qp06dcr8H4ruq0yft23bhvnz5+PAgQMiVGgdKtPnzMxMbNq0CQMGDMDatWtx5swZDBs2DBqNBomJiWKUbXEq0+f+/fsjLy8PTz75JARBQGlpKd5++2188sknYpRcbTzo92BBQQHu3LkDBwcHs7wvj9yQVZk8eTKWLl2KX375Bfb29lKXYzUKCwvx+uuvY968eXB3d5e6HKum0+ng6emJuXPnIjg4GNHR0RgzZgxmz54tdWlWJT09HZMmTcLMmTOxb98+rFq1CmvWrMHEiROlLo1MgEduKsjd3R1yuRw5OTkG4zk5OfD29i53G29vb6PWp8r1+Z6pU6di8uTJ2LhxI1q3bm3OMi2esX0+e/Yszp8/j969e+vHdDodAMDW1hYnT55Ew4YNzVu0BarM99nHxwcKhQJyuVw/1rx5c2RnZ0OtVsPOzs6sNVuiyvT5s88+w+uvv44333wTANCqVSsUFRVh6NChGDNmDGxs+N/+pvCg34Ourq5mO2oD8MhNhdnZ2SE4OBhpaWn6MZ1Oh7S0NISFhZW7TVhYmMH6AJCamvrA9alyfQaAL7/8EhMnTsS6desQEhIiRqkWzdg+N2vWDIcPH8aBAwf0P8899xyeeuopHDhwAH5+fmKWbzEq833u1KkTzpw5ow+PAHDq1Cn4+Pgw2DxAZfqsUqnKBJh7gVLgIxdNRrLfg2adrmxlli5dKiiVSmHhwoXCsWPHhKFDhwpubm5Cdna2IAiC8Prrrwsff/yxfv3t27cLtra2wtSpU4Xjx48LiYmJvBS8Aozt8+TJkwU7Ozth5cqVwtWrV/U/hYWFUn0Ei2Bsn/+LV0tVjLF9zsrKElxcXIS4uDjh5MmTwh9//CF4enoKn3/+uVQfwSIY2+fExETBxcVF+Omnn4TMzExhw4YNQsOGDYWXX35Zqo9gEQoLC4X9+/cL+/fvFwAI06ZNE/bv3y9cuHBBEARB+Pjjj4XXX39dv/69S8FHjRolHD9+XJgxYwYvBa+KvvnmG6FevXqCnZ2d0KFDB2Hnzp3618LDw4WYmBiD9ZcvXy40adJEsLOzE1q0aCGsWbNG5IotkzF9rl+/vgCgzE9iYqL4hVsYY7/P/8ZwU3HG9nnHjh1CaGiooFQqhYCAAOGLL74QSktLRa7a8hjTZ41GI4wbN05o2LChYG9vL/j5+QnDhg0Tbt68KX7hFmTz5s3l/nt7r7cxMTFCeHh4mW2CgoIEOzs7ISAgQFiwYIHZ65QJAo+/ERERkfXgnBsiIiKyKgw3REREZFUYboiIiMiqMNwQERGRVWG4ISIiIqvCcENERERWheGGiIiIrArDDRERAJlMhl9//RUAcP78echkMj4BnchCMdwQkeQGDRoEmUwGmUwGhUKBBg0aYPTo0SguLpa6NCKyQHwqOBFVCT169MCCBQug0Wiwd+9exMTEQCaTYcqUKVKXRkQWhkduiKhKUCqV8Pb2hp+fH/r06YOIiAikpqYCuPuE56SkJDRo0AAODg5o06YNVq5cabD90aNH0atXL7i6usLFxQWdO3fG2bNnAQB79uxB9+7d4e7ujho1aiA8PBz79u0T/TMSkTgYboioyjly5Ah27NgBOzs7AEBSUhK+//57zJ49G0ePHsXIkSPx2muvYcuWLQCAy5cvo0uXLlAqldi0aRP27t2LN954A6WlpQCAwsJCxMTEYNu2bdi5cycaN26Mnj17orCwULLPSETmw9NSRFQl/PHHH3B2dkZpaSlKSkpgY2ODb7/9FiUlJZg0aRI2btyIsLAwAEBAQAC2bduGOXPmIDw8HDNmzECNGjWwdOlSKBQKAECTJk30+3766acN3mvu3Llwc3PDli1b0KtXL/E+JBGJguGGiKqEp556CrNmzUJRURGmT58OW1tb9O3bF0ePHoVKpUL37t0N1ler1Wjbti0A4MCBA+jcubM+2PxXTk4OPv30U6Snp+PatWvQarVQqVTIysoy++ciIvEx3BBRleDk5IRGjRoBAFJSUtCmTRvMnz8fLVu2BACsWbMGvr6+BtsolUoAgIODw0P3HRMTg+vXr+Prr79G/fr1oVQqERYWBrVabYZPQkRSY7ghoirHxsYGn3zyCeLj43Hq1CkolUpkZWUhPDy83PVbt26NRYsWQaPRlHv0Zvv27Zg5cyZ69uwJALh48SLy8vLM+hmISDqcUExEVVK/fv0gl8sxZ84cfPjhhxg5ciQWLVqEs2fPYt++ffjmm2+waNEiAEBcXBwKCgrwyiuv4O+//8bp06exePFinDx5EgDQuHFjLF68GMePH8euXbswYMCARx7tISLLxSM3RFQl2draIi4uDl9++SXOnTsHDw8PJCUlITMzE25ubmjXrh0++eQTAEDt2rWxadMmjBo1CuHh4ZDL5QgKCkKnTp0AAPPnz8fQoUPRrl07+Pn5YdKkSfjwww+l/HhEZEYyQRAEqYsgIiIiMhWeliIiIiKrwnBDREREVoXhhoiIiKwKww0RERFZFYYbIiIisioMN0RERGRVGG6IiIjIqjDcEBERkVVhuCEiIiKrwnBDREREVoXhhoiIiKwKww0RERFZlf8HnK+3p3sgAY0AAAAASUVORK5CYII=\n"},"metadata":{}},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]}]},{"cell_type":"code","source":["results = pd.DataFrame({\n","\n","\"Strategy\":[\n","\"english\",\n","\"hindi\",\n","\"hinglish\",\n","\"Full Dataset\"\n","],\n","\n","\"Best Epoch\":[\n","best_eng,\n","best_hin,\n","best_hing,\n","best_full\n","],\n","\n","\"Accuracy\":[\n","acc_e,\n","acc,\n","acc_h,\n","acc_f\n","],\n","\n","\"Balanced Accuracy\":[\n","bal_e,\n","bal,\n","bal_h,\n","bal_f\n","],\n","\n","\"Precision\":[\n","prec_e,\n","prec,\n","prec_h,\n","prec_f\n","],\n","\n","\"Recall\":[\n","rec_e,\n","rec,\n","rec_h,\n","rec_f\n","],\n","\n","\"Specificity\":[\n","spec_e,\n","spec,\n","spec_h,\n","spec_f\n","],\n","\n","\"F1 Score\":[\n","f1_e,\n","f1,\n","f1_h,\n","f1_f\n","],\n","\n","\"AUC\":[\n","auc_e,\n","auc,\n","auc_h,\n","auc_f\n","]\n","\n","})\n","\n","# Round for clean display\n","results = results.round(4)\n","\n","display(results)\n","\n","# Save\n","results.to_csv(\n"," os.path.join(RESULT_DIR,\"results_table.csv\"),\n"," index=False\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":174},"id":"_Ld4ZbAt8ru_","executionInfo":{"status":"ok","timestamp":1774370877355,"user_tz":-330,"elapsed":594,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"0e1dd133-087f-40c6-9b82-4b2f2dab55ed"},"execution_count":23,"outputs":[{"output_type":"display_data","data":{"text/plain":[" Strategy Best Epoch Accuracy Balanced Accuracy Precision Recall \\\n","0 english 7 0.7490 0.7498 0.7110 0.8296 \n","1 hindi 6 0.6276 0.6170 0.6002 0.5127 \n","2 hinglish 8 0.6766 0.5990 0.8897 0.2157 \n","3 Full Dataset 7 0.6971 0.6924 0.6925 0.6260 \n","\n"," Specificity F1 Score AUC \n","0 0.6700 0.7658 0.8293 \n","1 0.7214 0.5530 0.6532 \n","2 0.9823 0.3472 0.7245 \n","3 0.7589 0.6576 0.7683 "],"text/html":["\n","
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StrategyBest EpochAccuracyBalanced AccuracyPrecisionRecallSpecificityF1 ScoreAUC
0english70.74900.74980.71100.82960.67000.76580.8293
1hindi60.62760.61700.60020.51270.72140.55300.6532
2hinglish80.67660.59900.88970.21570.98230.34720.7245
3Full Dataset70.69710.69240.69250.62600.75890.65760.7683
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\"dtype\": \"number\",\n \"std\": 0.06976386361624956,\n \"min\": 0.599,\n \"max\": 0.7498,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.617,\n 0.6924,\n 0.7498\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Precision\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12102684275261698,\n \"min\": 0.6002,\n \"max\": 0.8897,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.6002,\n 0.6925,\n 0.711\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Recall\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.25627845533065524,\n \"min\": 0.2157,\n \"max\": 0.8296,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5127,\n 0.626,\n 0.8296\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Specificity\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.13767688016995927,\n \"min\": 0.67,\n \"max\": 0.9823,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.7214,\n 0.7589,\n 0.67\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"F1 Score\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.17838628497355583,\n \"min\": 0.3472,\n \"max\": 0.7658,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.553,\n 0.6576,\n 0.7658\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AUC\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.07414253727337186,\n \"min\": 0.6532,\n \"max\": 0.8293,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.6532,\n 0.7683,\n 0.8293\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{}}]},{"cell_type":"code","source":["results.to_csv(\n"," os.path.join(RESULT_DIR,\"results_table.csv\"),\n"," index=False\n",")"],"metadata":{"id":"xnb_dGCN9aw5","executionInfo":{"status":"ok","timestamp":1774370886045,"user_tz":-330,"elapsed":45,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":24,"outputs":[]},{"cell_type":"code","source":["plt.figure(figsize=(6,4))\n","\n","plt.plot(hist_full.history['accuracy'],label='Train')\n","\n","plt.plot(hist_full.history['val_accuracy'],label='Validation')\n","\n","plt.grid(True)\n","\n","plt.legend()\n","\n","plt.title(\"Training vs Validation Accuracy\")\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR,\"accuracy_curve.png\"),\n"," dpi=300,\n"," bbox_inches='tight'\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":228},"id":"D-KjOu2K9eza","executionInfo":{"status":"error","timestamp":1774370888526,"user_tz":-330,"elapsed":17,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"6a339ab5-6e09-4869-c587-64a364d20997"},"execution_count":25,"outputs":[{"output_type":"error","ename":"NameError","evalue":"name 'hist_full' is not defined","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_7812/843970961.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m 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defined"]},{"output_type":"display_data","data":{"text/plain":["
"]},"metadata":{}}]},{"cell_type":"code","source":["plt.figure(figsize=(6,4))\n","\n","plt.plot(hist_full.history['loss'],label='Train')\n","\n","plt.plot(hist_full.history['val_loss'],label='Validation')\n","\n","plt.grid(True)\n","\n","plt.legend()\n","\n","plt.title(\"Training vs Validation Loss\")\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR,\"loss_curve.png\"),\n"," dpi=300,\n"," bbox_inches='tight'\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":228},"id":"PubpjfVK9iAq","executionInfo":{"status":"error","timestamp":1774370889840,"user_tz":-330,"elapsed":27,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"80ee12e2-2f6c-43a2-bd10-7b95c9023a4a"},"execution_count":26,"outputs":[{"output_type":"error","ename":"NameError","evalue":"name 'hist_full' is not defined","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_7812/3121029238.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhist_full\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'loss'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'Train'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhist_full\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'val_loss'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'Validation'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'hist_full' is not defined"]},{"output_type":"display_data","data":{"text/plain":["
"]},"metadata":{}}]},{"cell_type":"code","source":["from sklearn.metrics import roc_curve, roc_auc_score\n","\n","# Predictions\n","preds = build_model().predict(make_seq(valid_part['clean_text']))\n","\n","# ROC calculation\n","fpr, tpr, _ = roc_curve(valid_part['hate_label'], preds)\n","\n","# AUC calculation\n","auc_score = roc_auc_score(valid_part['hate_label'], preds)\n","\n","plt.figure(figsize=(6,4))\n","\n","# Plot ROC curve with AUC label\n","plt.plot(fpr, tpr, label=f\"AUC = {auc_score:.4f}\")\n","\n","# Random baseline\n","plt.plot([0,1],[0,1],'--')\n","\n","plt.grid(True)\n","\n","plt.xlabel(\"False Positive Rate\")\n","plt.ylabel(\"True Positive Rate\")\n","\n","plt.title(\"ROC Curve\")\n","\n","plt.legend(loc=\"lower right\")\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR,\"roc_curve.png\"),\n"," dpi=300,\n"," bbox_inches='tight'\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":482},"id":"P5aabPz_9lNU","executionInfo":{"status":"ok","timestamp":1774370894767,"user_tz":-330,"elapsed":3894,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"cade16c6-e5cd-40b8-a18c-f035b69dde0a"},"execution_count":27,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["\u001b[1m93/93\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["y_true = valid_part['hate_label']\n","\n","y_pred = (preds>0.5).astype(int)\n","\n","cm = confusion_matrix(y_true,y_pred)\n","\n","plt.figure(figsize=(6,4))\n","\n","sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues'\n",")\n","\n","plt.xlabel(\"Predicted\")\n","plt.ylabel(\"Actual\")\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR,\"confusion_matrix.png\"),\n"," dpi=300,\n"," bbox_inches='tight'\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":388},"id":"9JshxVWj9p3v","executionInfo":{"status":"ok","timestamp":1774370896751,"user_tz":-330,"elapsed":777,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"6a98b117-b8e1-49f2-d4b6-c1f458b1c683"},"execution_count":28,"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["precision,recall,_ = precision_recall_curve(y_true,preds)\n","\n","plt.figure(figsize=(6,4))\n","\n","plt.plot(recall,precision)\n","\n","plt.grid(True)\n","\n","plt.title(\"Precision Recall Curve\")\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR,\"precision_recall_curve.png\"),\n"," dpi=300,\n"," bbox_inches='tight'\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":391},"id":"_K1V0xL_9uxy","executionInfo":{"status":"ok","timestamp":1774370898536,"user_tz":-330,"elapsed":712,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"2ec6ca73-9bc5-4659-b697-644f2512fb05"},"execution_count":29,"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"z2EfJZKx9x4-","executionInfo":{"status":"ok","timestamp":1774370899601,"user_tz":-330,"elapsed":7,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":29,"outputs":[]}]} \ No newline at end of file diff --git a/phase6/notebooks/fasttext_bilstm_sequential.ipynb b/phase6/notebooks/fasttext_bilstm_sequential.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..e1be906a3e79363bbf9d263851787f6e675f2527 --- /dev/null +++ b/phase6/notebooks/fasttext_bilstm_sequential.ipynb @@ -0,0 +1 @@ +{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyNVJWgwI0nkZwvT+krmOJ0Q"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"KwRuxEyxLhoo","executionInfo":{"status":"ok","timestamp":1774371727234,"user_tz":-330,"elapsed":35723,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"70ff8d93-80ad-40a5-cdc2-257a1f4a1e84"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","source":["import os\n","\n","base_path = \"/content/drive/MyDrive/nprism/fasttext_bil_np\"\n","\n","folders = [\n"," \"dataset_split\",\n"," \"models\",\n"," \"figures\",\n"," \"results\"\n","]\n","\n","for f in folders:\n"," os.makedirs(os.path.join(base_path, f), exist_ok=True)\n","\n","print(\"Project folders created successfully.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_LNcPXEPLoLr","executionInfo":{"status":"ok","timestamp":1774371730806,"user_tz":-330,"elapsed":598,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"581089d4-af35-448a-b361-f00bd9435112"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["Project folders created successfully.\n"]}]},{"cell_type":"code","source":["!pip install gensim scikit-learn seaborn"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"W8uYBaytL_Uf","executionInfo":{"status":"ok","timestamp":1774371738692,"user_tz":-330,"elapsed":5991,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"2185db4c-3a7c-47a0-c8e2-d231877df9c7"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting gensim\n"," Downloading gensim-4.4.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (8.4 kB)\n","Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (1.6.1)\n","Requirement already satisfied: seaborn in /usr/local/lib/python3.12/dist-packages (0.13.2)\n","Requirement already satisfied: numpy>=1.18.5 in /usr/local/lib/python3.12/dist-packages (from gensim) (2.0.2)\n","Requirement already satisfied: scipy>=1.7.0 in /usr/local/lib/python3.12/dist-packages (from gensim) (1.16.3)\n","Requirement already satisfied: smart_open>=1.8.1 in /usr/local/lib/python3.12/dist-packages (from gensim) (7.5.1)\n","Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (1.5.3)\n","Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (3.6.0)\n","Requirement already satisfied: pandas>=1.2 in /usr/local/lib/python3.12/dist-packages (from seaborn) (2.2.2)\n","Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in /usr/local/lib/python3.12/dist-packages (from seaborn) (3.10.0)\n","Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.3.3)\n","Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (0.12.1)\n","Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (4.62.1)\n","Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.5.0)\n","Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (26.0)\n","Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (11.3.0)\n","Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (3.3.2)\n","Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (2.9.0.post0)\n","Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas>=1.2->seaborn) (2025.2)\n","Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas>=1.2->seaborn) (2025.3)\n","Requirement already satisfied: wrapt in /usr/local/lib/python3.12/dist-packages (from smart_open>=1.8.1->gensim) (2.1.2)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.4->seaborn) (1.17.0)\n","Downloading gensim-4.4.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (27.9 MB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27.9/27.9 MB\u001b[0m \u001b[31m75.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hInstalling collected packages: gensim\n","Successfully installed gensim-4.4.0\n"]}]},{"cell_type":"code","source":["import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import (\n"," accuracy_score,\n"," balanced_accuracy_score,\n"," precision_score,\n"," recall_score,\n"," f1_score,\n"," roc_auc_score,\n"," confusion_matrix,\n"," roc_curve,\n"," precision_recall_curve\n",")\n","\n","import tensorflow as tf\n","from tensorflow.keras.models import Sequential\n","from tensorflow.keras.layers import Embedding, Bidirectional, LSTM, Dense, Dropout\n","from tensorflow.keras.preprocessing.text import Tokenizer\n","from tensorflow.keras.preprocessing.sequence import pad_sequences\n","\n","import gensim.downloader as api"],"metadata":{"id":"cPTiimw2MEGu","executionInfo":{"status":"ok","timestamp":1774371763180,"user_tz":-330,"elapsed":21304,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":4,"outputs":[]},{"cell_type":"code","source":["dataset_path = \"/content/drive/MyDrive/Project_nlp/datasets/nprism - nprism.csv\"\n","\n","df = pd.read_csv(dataset_path)\n","\n","print(\"Dataset Shape:\", df.shape)\n","\n","# standardize language column\n","df[\"language\"] = df[\"language\"].astype(str).str.strip().str.lower()\n","\n","print(\"Languages found:\", df[\"language\"].unique())\n","\n","df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":241},"id":"RhFA_m19MHXZ","executionInfo":{"status":"ok","timestamp":1774371766960,"user_tz":-330,"elapsed":1286,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"d4ad92d1-4480-4259-fbb1-000aefeac5d0"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["Dataset Shape: (29506, 5)\n","Languages found: ['hinglish' 'hindi' 'english']\n"]},{"output_type":"execute_result","data":{"text/plain":[" clean_text hate_label language \\\n","0 Knowing ki Vikas kitna samjhata hai Priyanka a... 0 hinglish \n","1 I am Muhajir .. Aur mere lye sab se Pehly Paki... 0 hinglish \n","2 Doctor sab sahi me ke PhD (in hate politics) w... 0 hinglish \n","3 Poore Desh me Patel OBC me aate Hain sirf gujr... 0 hinglish \n","4 Sarkar banne ke bad Hindu hit me ek bhi faisla... 1 hinglish \n","\n"," text_length word_count \n","0 126 25 \n","1 196 41 \n","2 166 29 \n","3 257 49 \n","4 140 25 "],"text/html":["\n","
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clean_texthate_labellanguagetext_lengthword_count
0Knowing ki Vikas kitna samjhata hai Priyanka a...0hinglish12625
1I am Muhajir .. Aur mere lye sab se Pehly Paki...0hinglish19641
2Doctor sab sahi me ke PhD (in hate politics) w...0hinglish16629
3Poore Desh me Patel OBC me aate Hain sirf gujr...0hinglish25749
4Sarkar banne ke bad Hindu hit me ek bhi faisla...1hinglish14025
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"df","summary":"{\n \"name\": \"df\",\n \"rows\": 29506,\n \"fields\": [\n {\n \"column\": \"clean_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 29506,\n \"samples\": [\n \"Khatmalo ko maar maar kar khoon jaama karne se .. blood bank nahin ban jaata sir aaj kal party me aesa hi kuch ho raha hai\",\n \"my worse bitch looks better than your main bitch now that is bad right there laughing out loud\",\n \"they could just be people on holiday\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"hate_label\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"language\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"hinglish\",\n \"hindi\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"text_length\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 189,\n \"min\": 1,\n \"max\": 1926,\n \"num_unique_values\": 1191,\n \"samples\": [\n 752,\n 225\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"word_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 34,\n \"min\": 1,\n \"max\": 300,\n \"num_unique_values\": 291,\n \"samples\": [\n 128,\n 237\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":5}]},{"cell_type":"code","source":["plt.figure(figsize=(8,6))\n","\n","df['language'].value_counts().plot.pie(autopct='%1.1f%%')\n","\n","plt.title(\"Language Distribution\")\n","\n","plt.savefig(\n"," base_path + \"/figures/language_distribution.png\",\n"," dpi=300,\n"," bbox_inches=\"tight\"\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":521},"id":"wVckStPNMReu","executionInfo":{"status":"ok","timestamp":1774371772729,"user_tz":-330,"elapsed":1180,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"d1cd1db2-7aae-4e3b-c012-328174de4e5c"},"execution_count":6,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["train_val, test = train_test_split(\n"," df,\n"," test_size=0.30,\n"," stratify=df[\"hate_label\"],\n"," random_state=42\n",")\n","\n","train, val = train_test_split(\n"," train_val,\n"," test_size=0.1428,\n"," stratify=train_val[\"hate_label\"],\n"," random_state=42\n",")\n","\n","print(\"Train:\", train.shape)\n","print(\"Validation:\", val.shape)\n","print(\"Test:\", test.shape)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"rAa8ldrxMU6M","executionInfo":{"status":"ok","timestamp":1774371775205,"user_tz":-330,"elapsed":38,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"6c34240f-ab55-45a1-d26f-e7dc75db7ab0"},"execution_count":7,"outputs":[{"output_type":"stream","name":"stdout","text":["Train: (17704, 5)\n","Validation: (2950, 5)\n","Test: (8852, 5)\n"]}]},{"cell_type":"code","source":["train[\"language\"] = train[\"language\"].str.lower()\n","val[\"language\"] = val[\"language\"].str.lower()\n","test[\"language\"] = test[\"language\"].str.lower()"],"metadata":{"id":"gzpIDdapMYNs","executionInfo":{"status":"ok","timestamp":1774371777185,"user_tz":-330,"elapsed":5,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":8,"outputs":[]},{"cell_type":"code","source":["train.to_csv(base_path + \"/dataset_split/train.csv\", index=False)\n","val.to_csv(base_path + \"/dataset_split/val.csv\", index=False)\n","test.to_csv(base_path + \"/dataset_split/test.csv\", index=False)"],"metadata":{"id":"OoWWPIGxMbqt","executionInfo":{"status":"ok","timestamp":1774371780970,"user_tz":-330,"elapsed":2328,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["MAX_WORDS = 50000\n","MAX_LEN = 150\n","\n","tokenizer = Tokenizer(num_words=MAX_WORDS)\n","tokenizer.fit_on_texts(train[\"clean_text\"])\n","\n","def encode(texts):\n"," seq = tokenizer.texts_to_sequences(texts)\n"," return pad_sequences(seq, maxlen=MAX_LEN)"],"metadata":{"id":"BQaI8qnsMdxN","executionInfo":{"status":"ok","timestamp":1774371783143,"user_tz":-330,"elapsed":497,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["X_train = encode(train[\"clean_text\"])\n","X_val = encode(val[\"clean_text\"])\n","X_test = encode(test[\"clean_text\"])\n","\n","y_train = train[\"hate_label\"].values\n","y_val = val[\"hate_label\"].values\n","y_test = test[\"hate_label\"].values"],"metadata":{"id":"_drz7xMJMgUD","executionInfo":{"status":"ok","timestamp":1774371785372,"user_tz":-330,"elapsed":749,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":11,"outputs":[]},{"cell_type":"code","source":["print(\"Loading FastText vectors...\")\n","\n","fasttext = api.load(\"fasttext-wiki-news-subwords-300\")\n","\n","embedding_dim = 300\n","word_index = tokenizer.word_index\n","\n","embedding_matrix = np.zeros((MAX_WORDS, embedding_dim))\n","\n","for word, i in word_index.items():\n"," if i >= MAX_WORDS:\n"," continue\n"," try:\n"," embedding_vector = fasttext[word]\n"," embedding_matrix[i] = embedding_vector\n"," except:\n"," pass\n","\n","print(\"Embedding matrix ready.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"hE3QuvI7Mi46","executionInfo":{"status":"ok","timestamp":1774372465421,"user_tz":-330,"elapsed":678002,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"ad7cc843-6d64-4195-c7b8-2bd7bbbfab5f"},"execution_count":12,"outputs":[{"output_type":"stream","name":"stdout","text":["Loading FastText vectors...\n","[==================================================] 100.0% 958.5/958.4MB downloaded\n","Embedding matrix ready.\n"]}]},{"cell_type":"code","source":["model = Sequential()\n","\n","model.add(\n"," Embedding(\n"," input_dim=MAX_WORDS,\n"," output_dim=embedding_dim,\n"," weights=[embedding_matrix],\n"," input_length=MAX_LEN,\n"," trainable=False\n"," )\n",")\n","\n","model.add(Bidirectional(LSTM(128, return_sequences=False)))\n","\n","model.add(Dropout(0.5))\n","\n","model.add(Dense(64, activation='relu'))\n","\n","model.add(Dense(1, activation='sigmoid'))\n","\n","model.compile(\n"," optimizer=\"adam\",\n"," loss=\"binary_crossentropy\",\n"," metrics=[\"accuracy\"]\n",")\n","\n","model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":344},"id":"O285PJhHMljj","executionInfo":{"status":"ok","timestamp":1774372487614,"user_tz":-330,"elapsed":3108,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"34bffa1b-5ddd-4340-a0c4-ce949dff9f9c"},"execution_count":13,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"sequential\"\u001b[0m\n"],"text/html":["
Model: \"sequential\"\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ embedding (\u001b[38;5;33mEmbedding\u001b[0m) │ ? │ \u001b[38;5;34m15,000,000\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional (\u001b[38;5;33mBidirectional\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout (\u001b[38;5;33mDropout\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense (\u001b[38;5;33mDense\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_1 (\u001b[38;5;33mDense\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n"],"text/html":["
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ embedding (Embedding)           │ ?                      │    15,000,000 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional (Bidirectional)   │ ?                      │   0 (unbuilt) │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout (Dropout)               │ ?                      │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense (Dense)                   │ ?                      │   0 (unbuilt) │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_1 (Dense)                 │ ?                      │   0 (unbuilt) │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m15,000,000\u001b[0m (57.22 MB)\n"],"text/html":["
 Total params: 15,000,000 (57.22 MB)\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"],"text/html":["
 Trainable params: 0 (0.00 B)\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m15,000,000\u001b[0m (57.22 MB)\n"],"text/html":["
 Non-trainable params: 15,000,000 (57.22 MB)\n","
\n"]},"metadata":{}}]},{"cell_type":"code","source":["def compute_metrics(y_true, y_pred_prob):\n","\n"," y_pred = (y_pred_prob > 0.5).astype(int)\n","\n"," acc = accuracy_score(y_true, y_pred)\n"," bal = balanced_accuracy_score(y_true, y_pred)\n"," prec = precision_score(y_true, y_pred)\n"," rec = recall_score(y_true, y_pred)\n"," f1 = f1_score(y_true, y_pred)\n"," auc = roc_auc_score(y_true, y_pred_prob)\n","\n"," tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()\n","\n"," specificity = tn / (tn + fp)\n","\n"," return acc, bal, prec, rec, specificity, f1, auc"],"metadata":{"id":"dy5A9Q6PNEyu","executionInfo":{"status":"ok","timestamp":1774372491176,"user_tz":-330,"elapsed":6,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":14,"outputs":[]},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","\n","def plot_training(history, name):\n","\n"," plt.figure(figsize=(12,5))\n","\n"," # Accuracy\n"," plt.subplot(1,2,1)\n"," plt.plot(history.history['accuracy'], label='Train')\n"," plt.plot(history.history['val_accuracy'], label='Validation')\n"," plt.title(f\"{name} Accuracy\")\n"," plt.xlabel(\"Epoch\")\n"," plt.ylabel(\"Accuracy\")\n"," plt.legend()\n"," plt.grid(True)\n","\n"," # Loss\n"," plt.subplot(1,2,2)\n"," plt.plot(history.history['loss'], label='Train')\n"," plt.plot(history.history['val_loss'], label='Validation')\n"," plt.title(f\"{name} Loss\")\n"," plt.xlabel(\"Epoch\")\n"," plt.ylabel(\"Loss\")\n"," plt.legend()\n"," plt.grid(True)\n","\n"," plt.tight_layout()\n","\n"," plt.savefig(\n"," base_path + f\"/figures/{name}_training_curve.png\",\n"," dpi=300,\n"," bbox_inches=\"tight\"\n"," )\n","\n"," plt.show()"],"metadata":{"id":"LMpAEbG12ADu","executionInfo":{"status":"ok","timestamp":1774372539112,"user_tz":-330,"elapsed":45,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":15,"outputs":[]},{"cell_type":"code","source":["def train_language(lang, start_epoch, end_epoch):\n","\n"," data = train[train[\"language\"] == lang]\n"," val_data = val[val[\"language\"] == lang]\n","\n"," print(f\"\\nTraining for {lang}\")\n"," print(\"Train samples:\", len(data))\n"," print(\"Validation samples:\", len(val_data))\n","\n"," X_tr = encode(data[\"clean_text\"])\n"," y_tr = data[\"hate_label\"].values\n","\n"," X_v = encode(val_data[\"clean_text\"])\n"," y_v = val_data[\"hate_label\"].values\n","\n"," history = model.fit(\n"," X_tr,\n"," y_tr,\n"," validation_data=(X_v, y_v),\n"," epochs=end_epoch,\n"," initial_epoch=start_epoch-1,\n"," batch_size=16,\n"," verbose=1\n"," )\n","\n"," # detect best epoch\n"," best_epoch = np.argmax(history.history[\"val_accuracy\"]) + start_epoch\n","\n"," # predictions on validation set\n"," preds = model.predict(X_v)\n","\n"," return history, best_epoch, y_v, preds"],"metadata":{"id":"5FLiNsE1NHXj","executionInfo":{"status":"ok","timestamp":1774372571751,"user_tz":-330,"elapsed":67,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":16,"outputs":[]},{"cell_type":"code","source":["strategy_results = []\n","\n","def evaluate_strategy(strategy_name, y_true, pred_probs, best_epoch):\n","\n"," y_pred = (pred_probs > 0.5).astype(int)\n","\n"," acc = accuracy_score(y_true, y_pred)\n"," bal_acc = balanced_accuracy_score(y_true, y_pred)\n"," prec = precision_score(y_true, y_pred)\n"," rec = recall_score(y_true, y_pred)\n","\n"," tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()\n"," specificity = tn / (tn + fp)\n","\n"," f1 = f1_score(y_true, y_pred)\n"," auc = roc_auc_score(y_true, pred_probs)\n","\n"," strategy_results.append({\n"," \"Strategy\": strategy_name,\n"," \"Best Epoch\": best_epoch,\n"," \"Accuracy\": acc,\n"," \"Balanced Acc\": bal_acc,\n"," \"Precision\": prec,\n"," \"Recall\": rec,\n"," \"Specificity\": specificity,\n"," \"F1\": f1,\n"," \"ROC-AUC\": auc\n"," })"],"metadata":{"id":"OeIdxnCKPo82","executionInfo":{"status":"ok","timestamp":1774372574253,"user_tz":-330,"elapsed":18,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":17,"outputs":[]},{"cell_type":"code","source":["strategy_results = []\n","\n","# ENGLISH\n","hist_eng, best_eng, y_val_e, pred_e = train_language(\"english\",1,8)\n","plot_training(hist_eng, \"English\")\n","evaluate_strategy(\"English\", y_val_e, pred_e, best_eng)\n","\n","# HINDI\n","hist_hin, best_hin, y_val_h, pred_h = train_language(\"hindi\",9,16)\n","plot_training(hist_hin, \"Hindi\")\n","evaluate_strategy(\"Hindi\", y_val_h, pred_h, best_hin)\n","\n","# HINGLISH\n","hist_hing, best_hing, y_val_hi, pred_hi = train_language(\"hinglish\",17,24)\n","plot_training(hist_hing, \"Hinglish\")\n","evaluate_strategy(\"Hinglish\", y_val_hi, pred_hi, best_hing)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"aZPJYysUNJ8X","executionInfo":{"status":"ok","timestamp":1774372778305,"user_tz":-330,"elapsed":182467,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"392ce014-8705-4f05-99f8-e93cfd81ca36"},"execution_count":18,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Training for english\n","Train samples: 8963\n","Validation samples: 1486\n","Epoch 1/8\n","\u001b[1m561/561\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 18ms/step - accuracy: 0.7022 - loss: 0.5655 - val_accuracy: 0.7483 - val_loss: 0.5034\n","Epoch 2/8\n","\u001b[1m561/561\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 18ms/step - accuracy: 0.7556 - loss: 0.5017 - val_accuracy: 0.7571 - val_loss: 0.5012\n","Epoch 3/8\n","\u001b[1m561/561\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 18ms/step - accuracy: 0.7722 - loss: 0.4834 - val_accuracy: 0.7806 - val_loss: 0.4693\n","Epoch 4/8\n","\u001b[1m561/561\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 16ms/step - accuracy: 0.7820 - loss: 0.4656 - val_accuracy: 0.7867 - val_loss: 0.4633\n","Epoch 5/8\n","\u001b[1m561/561\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 18ms/step - accuracy: 0.7701 - loss: 0.4823 - val_accuracy: 0.7059 - val_loss: 0.5690\n","Epoch 6/8\n","\u001b[1m561/561\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 18ms/step - accuracy: 0.7775 - loss: 0.4735 - val_accuracy: 0.7672 - val_loss: 0.4733\n","Epoch 7/8\n","\u001b[1m561/561\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 16ms/step - accuracy: 0.8042 - loss: 0.4292 - val_accuracy: 0.7732 - val_loss: 0.4616\n","Epoch 8/8\n","\u001b[1m561/561\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 18ms/step - accuracy: 0.8142 - loss: 0.4143 - val_accuracy: 0.7847 - val_loss: 0.4582\n","\u001b[1m47/47\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 10ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","Training for hindi\n","Train samples: 5860\n","Validation samples: 978\n","Epoch 9/16\n","\u001b[1m367/367\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 19ms/step - accuracy: 0.5454 - loss: 0.6947 - val_accuracy: 0.5716 - val_loss: 0.6771\n","Epoch 10/16\n","\u001b[1m367/367\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 18ms/step - accuracy: 0.5734 - loss: 0.6811 - val_accuracy: 0.5930 - val_loss: 0.6746\n","Epoch 11/16\n","\u001b[1m367/367\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 21ms/step - accuracy: 0.5770 - loss: 0.6796 - val_accuracy: 0.5798 - val_loss: 0.6783\n","Epoch 12/16\n","\u001b[1m367/367\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 19ms/step - accuracy: 0.5816 - loss: 0.6790 - val_accuracy: 0.5941 - val_loss: 0.6751\n","Epoch 13/16\n","\u001b[1m367/367\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 16ms/step - accuracy: 0.5783 - loss: 0.6783 - val_accuracy: 0.5695 - val_loss: 0.6776\n","Epoch 14/16\n","\u001b[1m367/367\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 19ms/step - accuracy: 0.5826 - loss: 0.6775 - val_accuracy: 0.5961 - val_loss: 0.6706\n","Epoch 15/16\n","\u001b[1m367/367\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.5823 - loss: 0.6753 - val_accuracy: 0.5828 - val_loss: 0.6726\n","Epoch 16/16\n","\u001b[1m367/367\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 18ms/step - accuracy: 0.5875 - loss: 0.6759 - val_accuracy: 0.5644 - val_loss: 0.6755\n","\u001b[1m31/31\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 9ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","Training for hinglish\n","Train samples: 2881\n","Validation samples: 486\n","Epoch 17/24\n","\u001b[1m181/181\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 17ms/step - accuracy: 0.6227 - loss: 0.6636 - val_accuracy: 0.6193 - val_loss: 0.6608\n","Epoch 18/24\n","\u001b[1m181/181\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 17ms/step - accuracy: 0.6130 - loss: 0.6612 - val_accuracy: 0.6193 - val_loss: 0.6513\n","Epoch 19/24\n","\u001b[1m181/181\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 17ms/step - accuracy: 0.6439 - loss: 0.6424 - val_accuracy: 0.6276 - val_loss: 0.6510\n","Epoch 20/24\n","\u001b[1m181/181\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 22ms/step - accuracy: 0.6685 - loss: 0.6318 - val_accuracy: 0.6893 - val_loss: 0.6092\n","Epoch 21/24\n","\u001b[1m181/181\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 17ms/step - accuracy: 0.6890 - loss: 0.6053 - val_accuracy: 0.6996 - val_loss: 0.5967\n","Epoch 22/24\n","\u001b[1m181/181\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.6952 - loss: 0.5910 - val_accuracy: 0.7140 - val_loss: 0.5829\n","Epoch 23/24\n","\u001b[1m181/181\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 22ms/step - accuracy: 0.7133 - loss: 0.5739 - val_accuracy: 0.7222 - val_loss: 0.5716\n","Epoch 24/24\n","\u001b[1m181/181\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 19ms/step - accuracy: 0.7202 - loss: 0.5641 - val_accuracy: 0.7140 - val_loss: 0.5747\n","\u001b[1m16/16\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 11ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["history_full = model.fit(\n"," X_train,\n"," y_train,\n"," validation_data=(X_val,y_val),\n"," epochs=32,\n"," initial_epoch=24,\n"," batch_size=16\n",")\n","\n","plot_training(history_full, \"Full_Dataset\")\n","\n","best_epoch_full = np.argmax(history_full.history[\"val_accuracy\"]) + 25\n","\n","pred_probs = model.predict(X_test)\n","\n","evaluate_strategy(\n"," \"Full Dataset\",\n"," y_test,\n"," pred_probs,\n"," best_epoch_full\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":759},"id":"uuvsubaqNPoU","executionInfo":{"status":"ok","timestamp":1774372993512,"user_tz":-330,"elapsed":161435,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"667071b6-8eaf-46a9-885a-e82a4ecfe593"},"execution_count":19,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 25/32\n","\u001b[1m1107/1107\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m22s\u001b[0m 20ms/step - accuracy: 0.6841 - loss: 0.5638 - val_accuracy: 0.6803 - val_loss: 0.5870\n","Epoch 26/32\n","\u001b[1m1107/1107\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 17ms/step - accuracy: 0.7129 - loss: 0.5352 - val_accuracy: 0.6959 - val_loss: 0.5653\n","Epoch 27/32\n","\u001b[1m1107/1107\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 18ms/step - accuracy: 0.7193 - loss: 0.5186 - val_accuracy: 0.7020 - val_loss: 0.5576\n","Epoch 28/32\n","\u001b[1m1107/1107\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 17ms/step - accuracy: 0.7319 - loss: 0.5034 - val_accuracy: 0.7098 - val_loss: 0.5552\n","Epoch 29/32\n","\u001b[1m1107/1107\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 17ms/step - accuracy: 0.7385 - loss: 0.4926 - val_accuracy: 0.7081 - val_loss: 0.5722\n","Epoch 30/32\n","\u001b[1m1107/1107\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 18ms/step - accuracy: 0.7415 - loss: 0.4875 - val_accuracy: 0.7115 - val_loss: 0.5629\n","Epoch 31/32\n","\u001b[1m1107/1107\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 17ms/step - accuracy: 0.7499 - loss: 0.4740 - val_accuracy: 0.7075 - val_loss: 0.5853\n","Epoch 32/32\n","\u001b[1m1107/1107\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 18ms/step - accuracy: 0.7601 - loss: 0.4611 - val_accuracy: 0.7139 - val_loss: 0.5925\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m277/277\u001b[0m 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0.698590 \n","3 0.816667 0.638327 0.779653 "],"text/html":["\n","
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StrategyBest EpochAccuracyBalanced AccPrecisionRecallSpecificityF1ROC-AUC
0English40.7846570.7834910.7746310.8211490.7458330.7972120.862253
1Hindi140.5644170.5702480.4932560.6109790.5295170.5458420.601707
2Hinglish230.7139920.6326570.8709680.2918920.9734220.4372470.698590
3Full Dataset320.7010850.6922580.7287770.5678500.8166670.6383270.779653
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\"\"\n }\n },\n {\n \"column\": \"Balanced Acc\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0907748612193666,\n \"min\": 0.570247757459835,\n \"max\": 0.7834910791993037,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.570247757459835,\n 0.6922584306095979,\n 0.7834910791993037\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Precision\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.16044444293408264,\n \"min\": 0.4932562620423892,\n \"max\": 0.8709677419354839,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.4932562620423892,\n 0.728776529338327,\n 0.7746305418719212\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Recall\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2176147146240138,\n \"min\": 0.2918918918918919,\n \"max\": 0.8211488250652742,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.6109785202863962,\n 0.5678501945525292,\n 0.8211488250652742\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Specificity\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.1843197905111421,\n \"min\": 0.5295169946332737,\n \"max\": 0.973421926910299,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5295169946332737,\n 0.8166666666666667,\n 0.7458333333333333\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"F1\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.15242075755513967,\n \"min\": 0.43724696356275305,\n \"max\": 0.7972116603295311,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5458422174840085,\n 0.638326954620011,\n 0.7972116603295311\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ROC-AUC\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.11147273425533297,\n \"min\": 0.60170736185056,\n \"max\": 0.8622525021758051,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.60170736185056,\n 0.7796534584379977,\n 0.8622525021758051\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":20}]},{"cell_type":"code","source":["# Ensure dataframe exists\n","results_table = pd.DataFrame(strategy_results)\n","\n","# reset index for clean table\n","results_table.reset_index(drop=True, inplace=True)\n","\n","print(\"Final Results Table:\\n\")\n","print(results_table)\n","\n","# Save paths\n","csv_path = base_path + \"/results/strategy_results_table.csv\"\n","excel_path = base_path + \"/results/strategy_results_table.xlsx\"\n","\n","# Save CSV\n","results_table.to_csv(csv_path, index=False)\n","\n","# Save Excel\n","results_table.to_excel(excel_path, index=False)\n","\n","print(\"\\nResults saved successfully.\")\n","print(\"CSV:\", csv_path)\n","print(\"Excel:\", excel_path)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"9-h5kYFQNwCZ","executionInfo":{"status":"ok","timestamp":1774373007343,"user_tz":-330,"elapsed":1133,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"227f2791-ab07-4b65-f01f-fb966e2dd731"},"execution_count":21,"outputs":[{"output_type":"stream","name":"stdout","text":["Final Results Table:\n","\n"," Strategy Best Epoch Accuracy Balanced Acc Precision Recall \\\n","0 English 4 0.784657 0.783491 0.774631 0.821149 \n","1 Hindi 14 0.564417 0.570248 0.493256 0.610979 \n","2 Hinglish 23 0.713992 0.632657 0.870968 0.291892 \n","3 Full Dataset 32 0.701085 0.692258 0.728777 0.567850 \n","\n"," Specificity F1 ROC-AUC \n","0 0.745833 0.797212 0.862253 \n","1 0.529517 0.545842 0.601707 \n","2 0.973422 0.437247 0.698590 \n","3 0.816667 0.638327 0.779653 \n","\n","Results saved successfully.\n","CSV: /content/drive/MyDrive/nprism/fasttext_bil_np/results/strategy_results_table.csv\n","Excel: /content/drive/MyDrive/nprism/fasttext_bil_np/results/strategy_results_table.xlsx\n"]}]},{"cell_type":"code","source":["from sklearn.metrics import ConfusionMatrixDisplay, roc_curve, auc\n","\n","def plot_test_metrics(y_true, y_prob, name):\n","\n"," y_pred = (y_prob > 0.5).astype(int)\n","\n"," plt.figure(figsize=(18,12))\n","\n"," # ---------------------\n"," # 1. Confusion Matrix (Blue-White Style)\n"," # ---------------------\n"," plt.subplot(2,2,1)\n","\n"," cm = confusion_matrix(y_true, y_pred)\n","\n"," sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues',\n"," cbar=True,\n"," square=True,\n"," linewidths=1,\n"," linecolor='white',\n"," annot_kws={\"size\":14, \"weight\":\"bold\"}\n"," )\n","\n"," plt.xlabel(\"Predicted\")\n"," plt.ylabel(\"Actual\")\n"," plt.title(f\"{name} - Confusion Matrix\")\n","\n"," plt.xticks([0.5,1.5], ['0','1'])\n"," plt.yticks([0.5,1.5], ['0','1'], rotation=0)\n","\n"," # ---------------------\n"," # 2. ROC Curve\n"," # ---------------------\n"," plt.subplot(2,2,2)\n"," fpr, tpr, _ = roc_curve(y_true, y_prob)\n"," roc_auc = auc(fpr, tpr)\n"," plt.plot(fpr, tpr, label=f\"AUC={roc_auc:.2f}\")\n"," plt.plot([0,1],[0,1],'--')\n"," plt.xlabel(\"FPR\")\n"," plt.ylabel(\"TPR\")\n"," plt.title(f\"{name} - ROC Curve\")\n"," plt.legend()\n","\n"," # ---------------------\n"," # 3. Precision-Recall\n"," # ---------------------\n"," plt.subplot(2,2,3)\n"," precision, recall, _ = precision_recall_curve(y_true, y_prob)\n"," plt.plot(recall, precision)\n"," plt.xlabel(\"Recall\")\n"," plt.ylabel(\"Precision\")\n"," plt.title(f\"{name} - Precision-Recall\")\n","\n"," # ---------------------\n"," # 4. F1 Curve\n"," # ---------------------\n"," plt.subplot(2,2,4)\n"," f1 = 2 * (precision * recall) / (precision + recall + 1e-8)\n"," plt.plot(recall, f1)\n"," plt.xlabel(\"Recall\")\n"," plt.ylabel(\"F1 Score\")\n"," plt.title(f\"{name} - F1 Curve\")\n","\n"," plt.tight_layout()\n","\n"," plt.savefig(\n"," base_path + f\"/figures/{name}_test_metrics.png\",\n"," dpi=300,\n"," bbox_inches=\"tight\"\n"," )\n","\n"," plt.show()"],"metadata":{"id":"d1-hfz4m38Dr","executionInfo":{"status":"ok","timestamp":1774373485471,"user_tz":-330,"elapsed":38,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":25,"outputs":[]},{"cell_type":"code","source":["# ENGLISH TEST\n","plot_test_metrics(y_val_e, pred_e, \"English\")\n","\n","# HINDI TEST\n","plot_test_metrics(y_val_h, pred_h, \"Hindi\")\n","\n","# HINGLISH TEST\n","plot_test_metrics(y_val_hi, pred_hi, \"Hinglish\")\n","\n","# FULL DATASET TEST\n","plot_test_metrics(y_test, pred_probs, \"Full_Dataset\")"],"metadata":{"id":"1Rfc_txz53ZD","executionInfo":{"status":"ok","timestamp":1774373547804,"user_tz":-330,"elapsed":10134,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"2c27e09c-fd4d-4110-9195-01b112613f5d","colab":{"base_uri":"https://localhost:8080/","height":1000}},"execution_count":26,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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cObsZheAAgXJn5PcDwAAAEAtMmPGDIWHh8vb21v9+vXTypUry3TeF198IZvNphEjRlRtgQDqnLX7k9Vq4s/FQr+VTw4m9AMAADUewZ9F2AqSPxr+AAAAANQWc+fOVWRkpCZNmqTVq1ere/fuGjp0qA4fPnzK8/bs2aNHH31UAwYMqKZKAdQVOw+nacSMpUW23TWwtXZPGa7gAG+TqgIAAKg8BH8WUbDEnwxW+QMAAABQS0ybNk3jxo3T2LFj1alTJ82cOVO+vr6aPXt2qec4HA6NGjVKkydPVuvWrauxWgC1XWzyMd3y/vGu449v66ud/71EE4d3lK3wgxkAAIAajuDPIo6v8WdqGQAAAABQKXJychQdHa0hQ4a4ttntdg0ZMkTLly8v9bznnntOwcHBuv3228v0PNnZ2UpNTS3yBQAnm7f6gM59aZEOpWSpbbC/Vj99kQa2byx3Nz4aAwAAtQs/3ViEnTvLAAAAANQiiYmJcjgcCgkJKbI9JCREcXFxJZ6zZMkSvf/++5o1a1aZn2fKlCmqV6+e6yssLOyM6gZQ+3z2zz5FfrnO9fjj2/qqgZ+niRUBAABUHYI/i3CN+qTlDwAAAEAdlJaWpltuuUWzZs1So0aNynzexIkTlZKS4vrav39/FVYJoKaZvWS3/vPtBtfj3yMHqVmQj4kVAQAAVC3Tg78ZM2YoPDxc3t7e6tevn1auXHnK46dPn64OHTrIx8dHYWFhevjhh5WVlVVN1VYd16hPU6sAAAAAgMrRqFEjubm5KT4+vsj2+Ph4NWnSpNjxu3bt0p49e3T55ZfL3d1d7u7u+vjjjzV//ny5u7tr165dJT6Pl5eXAgMDi3wBgCTN+GOnnvtxsyTprkGttXvKcLUN9je5KgAAgKplavA3d+5cRUZGatKkSVq9erW6d++uoUOH6vDhwyUe/9lnn2nChAmaNGmStmzZovfff19z587Vf/7zn2quvAoUtPw56fgDAAAAUAt4enqqd+/eioqKcm1zOp2KiopS//79ix0fERGhDRs2aO3ata6vK664QhdccIHWrl3LCE8A5fL24l16ZeE2SdJDQ9ppwrAI2VhmBQAA1AHuZj75tGnTNG7cOI0dO1aSNHPmTP3000+aPXu2JkyYUOz4ZcuW6dxzz9VNN90kSQoPD9eNN96of/75p9TnyM7OVnZ2tuuxVRd6d3X8kfsBAAAAqCUiIyM1ZswY9enTR3379tX06dOVkZHheg84evRohYaGasqUKfL29laXLl2KnB8UFCRJxbYDwKl8+e9+TV2wVZL0+LAOuvf8tiZXBAAAUH1MC/5ycnIUHR2tiRMnurbZ7XYNGTJEy5cvL/Gcc845R3PmzNHKlSvVt29fxcTE6Oeff9Ytt9xS6vNMmTJFkydPrvT6K5trjT9zywAAAACASjNy5EglJCTomWeeUVxcnHr06KEFCxYoJCREkrRv3z7Z7aavQAGghlu+K0krYpLk6+mmz1bu0/4jmZLyx3sS+gEAgLrGtOAvMTFRDofD9YavUEhIiLZu3VriOTfddJMSExN13nnnyTAM5eXl6e677z7lqM+JEycqMjLS9Tg1NdWSI2JsBT1/dPwBAAAAqE3Gjx+v8ePHl7hv8eLFpzz3ww8/rPyCANQqy3cl6cZZK4ptv7FvmCYMizChIgAAAHPVqFsrFy9erBdffFFvvfWWVq9erXnz5umnn37S888/X+o5NWWhd7trzDzJHwAAAAAAwOlsi0vTnZ/8W2z7Ixe114tXdWVNPwAAUCeZ1vHXqFEjubm5KT4+vsj2+Ph4NWnSpMRznn76ad1yyy264447JEldu3ZVRkaG7rzzTj355JM1ekSMa9QnuR8AAAAAAMApxaVk6dYPViotK0+S1C7YX3cObK1OzQLVuVk9k6sDAAAwj2nBn6enp3r37q2oqCiNGDFCkuR0OhUVFVXqGJjMzMxi4Z6bm5skyajhiVnhXWg1/GUAAAAAAABUqdSsXN36wUodSslSm8Z++uaecxTk62l2WQAAAJZgWvAnSZGRkRozZoz69Omjvn37avr06crIyNDYsWMlSaNHj1ZoaKimTJkiSbr88ss1bdo09ezZU/369dPOnTv19NNP6/LLL3cFgDWdwahPAAAAAACAEuXkOXXPnGhtjUtT4wAvfTi2L6EfAADACUwN/kaOHKmEhAQ988wziouLU48ePbRgwQKFhIRIkvbt21ekw++pp56SzWbTU089pdjYWDVu3FiXX365/vvf/5r1EipN4ahPJ7kfAAAAAABAMYZh6Ilv1mvpziT5errpg1vPUlgDX7PLAgAAsBRTgz9JGj9+fKmjPRcvXlzksbu7uyZNmqRJkyZVQ2XVyyZGfQIAAAAAAJTm1V+36ds1sXKz2/TWqF7qEspafgAAACezn/4QVIfCjj9GfQIAAAAAABQ1Z8VezfhjlyRpylVddX6HYJMrAgAAsCaCP4uwFX5D7gcAAAAAAODy++Z4PfP9RknSQ0Pa6fqzwkyuCAAAwLoI/izCXtDyR+4HAAAAAACQb+3+ZI3/fLWchjSyT5geHNzO7JIAAAAsjeDPIlyjPlnkDwAAAAAAQHsSM3T7h6uUlevU+R0a64Wrushms53+RAAAgDqM4M9iiP0AAAAAAEBdl5SerVs/WKmkjBx1CQ3UjJt6ycONj7EAAABOh5+YLKLwjjUa/gAAAAAAQF1lGIb+2p6g695Zrj1JmWpe30ezbz1Lfl7uZpcGAABQI/BTk0UUDqpwkvwBAAAAAIA66rGv1+vr6AOSpCBfD310W18FB3ibXBUAAEDNQcefRbjW+DO3DAAAAAAAAFN89s8+V+gnSe+N7qM2jf1NrAgAAKDmoePPIlxLU5P8AQAAAACAOiQnz6nft8Tr6e83urZ9Pu5s9QlvYGJVAAAANRPBn0XY7QVr/JH8AQAAAACAOmD/kUz9uP6Qpi7Y6tp2da9QvXZdd9lstlOcCQAAgNIQ/FlE4Y+zLPEHAAAAAABqu9jkYxrw8h9FtrVs6KuXru5G6AcAAHAGWOPPKgp+qCX4AwAAAAAAtVlaVq5u/3BVkW3tgv01f/x58nTnoyoAAIAzQcefRbg6/hj1CQAAAAAAaqk8h1P3f75GW+PSJOXfB/35uLN1duuGJlcGAABQOxD8WUThFAsnuR8AAAAAAKilXvhpixZvS5C3h11z7+yv7mFBZpcEAABQqzA/wSJsYtQnAAAAAACovT5atkcfLtsjSZo+sgehHwAAQBUg+LOI4+tWk/wBAAAAAIDa5Y+thzX5h02SpCeGRWhYl6YmVwQAAFA7EfxZhGuNP3I/AAAAAABQi2w5lKrxn62W05Cu79Ncdw9qbXZJAAAAtRZr/FmEvaDlj9wPAAAAAADUFgs2HtLdc1ZLkvq3bqgXRnSV7fjYIwAAAFQyOv6souBnXoOWPwAAAAAAUAv8E5PkCv283O2aeXNvebrzURQAAEBVouPPIlyjPk2tAgAAAAAA4Mxk5ToUn5qlu+dEu7YtfGig6vl6mFgVAABA3UDwZxGFYy5o+AMAAAAAADXV+0t26/kfN7sed2teT3Pv7C8fTzcTqwIAAKg7mK9gEYUdf06SPwAAAAAAUAP9sfVwkdCvaT1vvTe6D6EfAABANSL4swjWtQYAAAAAADXVjvg03f/5miLbZo3uo+BAb5MqAgAAqJsY9WkRhcEfDX8AAAAAAKAmOZqRo9s/+lfp2XkKDvBShyYBunNga3UJrWd2aQAAAHUOwZ9F2AvX+BPJHwAAAAAAqBlyHU7d82m09h3JVPP6Ppo//jw18PM0uywAAIA6i1GfFkPHHwAAAAAAqAkMw9Ck+Zu0IuaI/Dzd9P6Yswj9AAAATEbwZxG2wo4/gj8AAAAAAFADfLJirz77Z59sNumNG3uqQ5MAs0sCAACo8wj+LKJgiT9GfQIAAAAAAMtbsiNRk3/YLEmaMCxCgzuGmFwRAAAAJII/yyho+JOT3A8AAAAAAFhYTEK67v00Wg6noat7herOga3NLgkAAAAFCP4swlbY80fwBwAAAAAALComIV03zfpHqVl56tUiSC9e1dW1fAkAAADM5252Achnc+V+JH8AAAAAAMB6diWka+Q7K5SYnq12wf5655Y+8vZwM7ssAAAAnIDgzyJca/yR+wEAAAAAAAsxDEPfrz2oyC/XymlIHZsGas7tfdXQ38vs0gAAAHASgj+LKByLQe4HAAAAAACs5MWft2jW37slSaFBPvqE0A8AAMCyWOPPIlyjPmn5AwAAAAAAFrF422FX6CdJ747urUaEfgAAAJZF8GcRrlGfplYBAAAAAACQLyYhXfd/vkaSZLdJ88efq87N6plcFQAAAE6FUZ8W4Rr1SfIHAAAAwGR5eXlavHixdu3apZtuukkBAQE6ePCgAgMD5e/vb3Z5AKqYw2lo4rz1+vLfA5KkPi3r67NxZ8vTnfvHAQAArI7gzyJcHX8kfwAAAABMtHfvXg0bNkz79u1Tdna2LrroIgUEBGjq1KnKzs7WzJkzzS4RQBVyOA099tU6zVsT69r29s29Cf0AAABqiAoFfw6HQx9++KGioqJ0+PBhOZ3OIvsXLVpUKcXVJa41/swtAwAAAEAd9+CDD6pPnz5at26dGjZs6Np+1VVXady4cSZWBqA6PDt/U5HQb/74c9U4gDX9AAAAaooKBX8PPvigPvzwQ1166aXq0qWLa0wlKs4V/JH8AQAAADDR33//rWXLlsnT07PI9vDwcMXGxpZyFoDa4MtV+/XJir2y2aQZN/XS0M5N5GbnMx8AAICapELB3xdffKEvv/xSw4cPr+x66izXGn/0/AEAAAAwkdPplMPhKLb9wIEDCggIMKEiANVh3f5kPfXdRknSw0Paa3jXpiZXBAAAgIqo0IB2T09PtW3btrJrqdOOr/FnahkAAAAA6riLL75Y06dPdz222WxKT0/XpEmTuPkTqKUS07N195xo5TicuqhTiMZfwGc+AAAANVWFgr9HHnlEr7/+ugxSqkrj6vjjlxQAAACAiV599VUtXbpUnTp1UlZWlm666SbXmM+pU6eaXR6ASpbrcOq+T1frUEqWWjf207Tru8vOeE8AAIAaq0KjPpcsWaI//vhDv/zyizp37iwPD48i++fNm1cpxdUlro4/U6sAAAAAUNeFhYVp3bp1mjt3rtatW6f09HTdfvvtGjVqlHx8fMwuD0Alm/LzVv2z+4j8PN307i29FeDtcfqTAAAAYFkVCv6CgoJ01VVXVXYtdVpBwx9dlAAAAABMk5ubq4iICP34448aNWqURo0aZXZJAKrQ92tjNXvpbknSa9f3UNtg1vEEAACo6SoU/H3wwQeVXUedZxOjPgEAAACYy8PDQ1lZWWaXAaAabDqYoie+WS9Juu+CNhrWpYnJFQEAAKAyVGiNv0IJCQlasmSJlixZooSEhMqqqU5ydfwx7BMAAACAie677z5NnTpVeXl5ZpcCoIokZ+bo7jnRysp1alD7xoq8qIPZJQEAAKCSVKjjLyMjQ/fff78+/vhjOZ1OSZKbm5tGjx6tN998U76+vpVaZF3gWuOP3A8AAACAiVatWqWoqCj9+uuv6tq1q/z8/IrsZ013oGZzOA3d//ka7T9yTC0a+OqNG3rKzW47/YkAAACoESrU8RcZGak///xTP/zwg5KTk5WcnKzvv/9ef/75px555JHKrrFOsBW0/JH7AQAAADBTUFCQrrnmGg0dOlTNmjVTvXr1inwBqNle/XWb/t6RKB8PN71zS2/V8/UwuyQAAABUogp1/H3zzTf6+uuvdf7557u2DR8+XD4+Prr++uv19ttvV1Z9dYZr1CctfwAAAABMxJruQO31y4ZDenvxLknS1Gu7qWPTQJMrAgAAQGWrUPCXmZmpkJCQYtuDg4OVmZl5xkXVRa5Rn6ZWAQAAAAD5EhIStG3bNklShw4d1LhxY5MrAnAmdsSn6dGv1kmS7jivla7o3szkigAAAFAVKjTqs3///po0aZKysrJc244dO6bJkyerf//+lVZcXWJztfyZWwcAAACAui0jI0O33XabmjZtqoEDB2rgwIFq1qyZbr/9dm70BGqoJTsSddH//lJGjkPntGmoCZdEmF0SAAAAqkiFgr/XX39dS5cuVfPmzTV48GANHjxYYWFhWrZsmV5//fXKrrFOKMz9nIz6BAAAAGAi1nQHapdDKcd08/v/uB6/eWNPubtV6OMgAAAA1AAVGvXZpUsX7dixQ59++qm2bt0qSbrxxhs1atQo+fj4VGqBdQWjPgEAAABYAWu6A7VHTp5T93662vV40SOD1NDfy8SKAAAAUNUqFPxJkq+vr8aNG1eZtdRprkmfJH8AAAAATMSa7kDt8cJPm7VmX7ICvd314/0D1KKhr9klAQAAoIqVOfibP3++LrnkEnl4eGj+/PmnPPaKK64448LqmsI1/gx6/gAAAACYqHBN948//lje3t6SWNMdqIm+WxOrj5fvlSRNv6EHoR8AAEAdUebgb8SIEYqLi1NwcLBGjBhR6nE2m00Oh6MyaqtTXKM+yf0AAAAAmOj111/X0KFD1bx5c3Xv3l2StG7dOnl7e2vhwoUmVwegLLbGpWrCvPWSpAcubKsLI4p38QIAAKB2KnPw53Q6S/welcPV8UfwBwAAAMBErOkO1GypWbm6+5NoZeU6NaBdIz04pL3ZJQEAAKAaVXiNv5MlJycrKCiosi5X59hOfwgAAAAAVAvWdAdqJqfT0CNfrtOepEyFBvnojRt6ys3OJw4AAAB1ib0iJ02dOlVz5851Pb7uuuvUoEEDhYaGat26dZVWXF1S0PAng5Y/AAAAACaaMmWKZs+eXWz77NmzNXXqVBMqAlBWM//apd82x8vTza63RvVSfT9Ps0sCAABANatQ8Ddz5kyFhYVJkn777Tf9/vvvWrBggS655BI99thjlVpgXWEr6PlzkvsBAAAAMNE777yjiIiIYts7d+6smTNnmlARgLJYujNRry7cJkl69orO6h4WZG5BAAAAMEWFRn3GxcW5gr8ff/xR119/vS6++GKFh4erX79+lVpgXeHq+BPJHwAAAADzxMXFqWnTpsW2N27cWIcOHTKhIgCncyjlmB74fI2chnRt7+a6sW+Y2SUBAADAJBXq+Ktfv772798vSVqwYIGGDBkiKX9MpcPhqLzq6iAmfQIAAAAwU1hYmJYuXVps+9KlS9WsWbNyX2/GjBkKDw+Xt7e3+vXrp5UrV5Z67Lx589SnTx8FBQXJz89PPXr00CeffFLu5wTqkm1xaeo/ZZGSMnLUqWmgXhjRRTYb6/oBAADUVRXq+Lv66qt10003qV27dkpKStIll1wiSVqzZo3atm1bqQXWFfaCH8rJ/QAAAACYady4cXrooYeUm5urCy+8UJIUFRWlxx9/XI888ki5rjV37lxFRkZq5syZ6tevn6ZPn66hQ4dq27ZtCg4OLnZ8gwYN9OSTTyoiIkKenp768ccfNXbsWAUHB2vo0KGV8vqA2iQ9O09Dp//lejzz5t7y9nAzsSIAAACYrULB3//+9z+Fh4dr//79evnll+Xv7y9JOnTokO69995KLbCucI36JPkDAAAAYKLHHntMSUlJuvfee5WTkyNJ8vb21hNPPKGJEyeW61rTpk3TuHHjNHbsWEn568X/9NNPmj17tiZMmFDs+PPPP7/I4wcffFAfffSRlixZUmrwl52drezsbNfj1NTUctUI1FSGYWjCN+tdjz+6ra9aNPQ1sSIAAABYQYWCPw8PDz366KPFtj/88MNnXFBddXwKB8kfAAAAAPPYbDZNnTpVTz/9tLZs2SIfHx+1a9dOXl5e5bpOTk6OoqOji4SFdrtdQ4YM0fLly097vmEYWrRokbZt26apU6eWetyUKVM0efLkctUG1AYfL9+rH9cfkrvdpi/uPFt9whuYXRIAAAAsoMzB3/z583XJJZfIw8ND8+fPP+WxV1xxxRkXVtfYVDDqk9wPAAAAgAX4+/vrrLPO0t69e7Vr1y5FRETIbi/7MvGJiYlyOBwKCQkpsj0kJERbt24t9byUlBSFhoYqOztbbm5ueuutt3TRRReVevzEiRMVGRnpepyamqqwsLAy1wnUNIZhaPIPm/Xhsj2SpAmXRBD6AQAAwKXMwd+IESMUFxen4OBgjRgxotTjbDabHA5HZdRWp7hGfZpbBgAAAIA6avbs2UpOTi4Sot155516//33JUkdOnTQwoULqzxUCwgI0Nq1a5Wenq6oqChFRkaqdevWxcaAFvLy8ip3NyJQU+U5nJr8w2Z9smKvJKl3y/q6/bxWJlcFAAAAKynz7ZpOp9O1+LrT6Sz1i9CvYgonfTpp+QMAAABggnfffVf169d3PV6wYIE++OADffzxx1q1apWCgoLKNVKzUaNGcnNzU3x8fJHt8fHxatKkSann2e12tW3bVj169NAjjzyia6+9VlOmTCn/CwJqGcMw9PjX612hnyR9MPYs2Y6vHQIAAACUPfhD1XJ1/JH7AQAAADDBjh071KdPH9fj77//XldeeaVGjRqlXr166cUXX1RUVFSZr+fp6anevXsXOcfpdCoqKkr9+/cv83WcTqeys7PLfDxQW32+cr/mrYmVm92mmTf30p6XLlWgt4fZZQEAAMBiKhT8PfDAA3rjjTeKbf+///s/PfTQQ2daUx1VuMYfyR8AAACA6nfs2DEFBga6Hi9btkwDBw50PW7durXi4uLKdc3IyEjNmjVLH330kbZs2aJ77rlHGRkZGjt2rCRp9OjRmjhxouv4KVOm6LffflNMTIy2bNmi1157TZ988oluvvnmM3x1QM22MTZFz/6wSZL0+NAOGtalqckVAQAAwKoqFPx98803Ovfcc4ttP+ecc/T111+X+3ozZsxQeHi4vL291a9fP61cubLUY88//3zZbLZiX5deemm5n9dK7KzxBwAAAMBELVu2VHR0tCQpMTFRmzZtKvK+Ly4uTvXq1SvXNUeOHKlXX31VzzzzjHr06KG1a9dqwYIFCgkJkSTt27dPhw4dch2fkZGhe++9V507d9a5556rb775RnPmzNEdd9xRCa8QqJkOpRzTfZ+tVk6eU4MjgjVuQGuzSwIAAICFuVfkpKSkpBLf8AUGBioxMbFc15o7d64iIyM1c+ZM9evXT9OnT9fQoUO1bds215qCJ5o3b55ycnKK1NK9e3ddd9115X8hFuKayU/yBwAAAMAEY8aM0X333adNmzZp0aJFioiIUO/evV37ly1bpi5dupT7uuPHj9f48eNL3Ld48eIij1944QW98MIL5X4OoLaK2hKv2z/6V5IUGuSj167vLrudNf0AAABQugp1/LVt21YLFiwotv2XX35R69blu/Ns2rRpGjdunMaOHatOnTpp5syZ8vX11ezZs0s8vkGDBmrSpInr67fffpOvr2/ND/4K/kvuBwAAAMAMjz/+uMaNG6d58+bJ29tbX331VZH9S5cu1Y033mhSdUDdE5eS5Qr9JOn/buqpIF9PEysCAABATVChjr/IyEiNHz9eCQkJuvDCCyVJUVFReu211zR9+vQyXycnJ0fR0dFF1nSw2+0aMmSIli9fXqZrvP/++7rhhhvk5+dX4v7s7OwiC8GnpqaWub7q5Gr4Y40/AAAAACaw2+167rnn9Nxzz5W4/+QgEEDVyXM49cAXa1yP37ixp3q2qG9iRQAAAKgpKhT83XbbbcrOztZ///tfPf/885Kk8PBwvf322xo9enSZr5OYmCiHw+Fa36FQSEiItm7detrzV65cqY0bN+r9998v9ZgpU6Zo8uTJZa7JLLaCnj8nuR8AAAAAAHXaG1E7tHL3Efl5uumH+89T68b+ZpcEAACAGqJCoz4l6Z577tGBAwcUHx+v1NRUxcTElCv0qwzvv/++unbtqr59+5Z6zMSJE5WSkuL62r9/fzVWWHbHl/gj+QMAAAAAoK5aujNRb/6xU5L04tVdCf0AAABQLhUO/vLy8vT7779r3rx5rvGUBw8eVHp6epmv0ahRI7m5uSk+Pr7I9vj4eDVp0uSU52ZkZOiLL77Q7bfffsrjvLy8FBgYWOTLypj0CQAAAABA3XQ4LUsPfrFWhiHdcFaYruwRanZJAAAAqGEqFPzt3btXXbt21ZVXXqn77rtPCQkJkqSpU6fq0UcfLfN1PD091bt3b0VFRbm2OZ1ORUVFqX///qc896uvvlJ2drZuvvnmirwEy7Hb81v+yP0AAAAAAKh7HE5DD89dq8T0bHUICdCkyzubXRIAAABqoAoFfw8++KD69Omjo0ePysfHx7X9qquuKhLilUVkZKRmzZqljz76SFu2bNE999yjjIwMjR07VpI0evRoTZw4sdh577//vkaMGKGGDRtW5CVYjq3wG5I/AAAAAADqnLf+2KmlO5Pk4+GmGaN6ysfTzeySAAAAUAO5V+Skv//+W8uWLZOnp2eR7eHh4YqNjS3XtUaOHKmEhAQ988wziouLU48ePbRgwQKFhIRIkvbt2ye7vWg+uW3bNi1ZskS//vprRcq3JNb4AwAAAGBl+/fv16RJkzR79myzSwFqnRUxSfrf79slSc+P6KK2wQEmVwQAAICaqkLBn9PplMPhKLb9wIEDCggo/w+n48eP1/jx40vct3jx4mLbOnTo4FpXsLawFfT81bKXBQAAAKCWOHLkiD766COCP6CS/bY5XuM+/leSdHWvUF3bu7nJFQEAAKAmq1Dwd/HFF2v69Ol69913JUk2m03p6emaNGmShg8fXqkF1hXHO/4AAAAAoPrNnz//lPtjYmKqqRKg7jicluUK/STp+Su7mFgNAAAAaoMKBX+vvvqqhg0bpk6dOikrK0s33XSTduzYoUaNGunzzz+v7BrrhMI1/py0/AEAAAAwwYgRI2Sz2U45XcVms5W6D0D5OJ2GIueucz3+49Hz5edVoY9pAAAAABf76Q8pLiwsTOvWrdOTTz6phx9+WD179tRLL72kNWvWKDg4uLJrrBsKO/7I/QAAAACYoGnTppo3b56cTmeJX6tXrza7RKBWefvPXVqyM1E+Hm76PXKgWjXyM7skAAAA1ALlvpUsNzdXERER+vHHHzVq1CiNGjWqKuqqc2zizlkAAAAA5undu7eio6N15ZVXlrj/dN2AAMpu9pLdemXhNknS5Cs6q21wgMkVAQAAoLYod/Dn4eGhrKysqqilTrOfkPsZhsEIHQAAAADV6rHHHlNGRkap+9u2bas//vijGisCaqdlOxP13I+bJUmXdmuq6/o0N7kiAAAA1CYVGvV53333aerUqcrLy6vseuqsE4M+bqIFAAAAUN0GDBigYcOGlbrfz89PgwYNqsaKgNonOTNHj3x1fF2/l67uyo2/AAAAqFQVWjV61apVioqK0q+//qquXbvKz6/oHPp58+ZVSnF1yYk/5pP7AQAAAKhuMTExatWqFSEEUEUMw9AT36zXoZQstWrkpx/uP0/+XhX6WAYAAAAoVYV+wgwKCtI111xT2bXUabaTRn2KNf8AAAAAVKN27drp0KFDCg4OliSNHDlSb7zxhkJCQkyuDKj5HE5Dz/+4WQs3xcvDzaY3buhJ6AcAAIAqUa6fMp1Op1555RVt375dOTk5uvDCC/Xss8/Kx8enquqrM2wnBH1OWv4AAAAAVDPjpDUHfv75Z02ZMsWkaoDawzAM9f3v70rKyJEkPTEsQl2b1zO5KgAAANRW5Vrj77///a/+85//yN/fX6GhoXrjjTd03333VVVtdcuJHX8M+wQAAAAAoMZLz87T4Gl/ukI/L3e7bju3lclVAQAAoDYrV/D38ccf66233tLChQv13Xff6YcfftCnn34qp9NZVfXVGUVHfZpXBwAAAIC6yWazFVvfj/X+gIozDEODXv5DMQkZkqQmgd5a+eQQ2e38vQIAAEDVKdeoz3379mn48OGux0OGDJHNZtPBgwfVvHnzSi+uLrHzhhoAAACAiQzD0K233iovLy9JUlZWlu6++275+fkVOW7evHlmlAfUKIZhaPzna1ydfp7udi2feCFhOgAAAKpcuYK/vLw8eXt7F9nm4eGh3NzcSi2qLjrxR386/gAAAABUtzFjxhR5fPPNN5tUCVDzvfNXjH5af0iSdHWvUL18TTdCPwAAAFSLcgV/J98BKpV8Fyh3gJafjTX+AAAAAJjogw8+MLsEoFbYnZihl37Z6nr86rXdGe8JAACAalOu4O/kO0Al7gKtLLYTev7o+AMAAAAAoObJdTj10BdrJElnt26gz+44m9APAAAA1apcwR93gFadoh1/AAAAAACgppn++3atO5Ciej4e+t/IHoR+AAAAqHZ2swtAcU5a/gAAAAAAqFH+iUnSW4t3SZJeurqrmtbzMbkiAAAA1EUEfxZRpOOP3A8AAAAAgBojLiVL93++RoYhXd+nuS7p2tTskgAAAFBHEfxZxIlr/DHrEwAAAACAmuFYjkN3fvKvDqdlq32IvyZd3tnskgAAAFCHEfxZhL1I7kfyBwAAAABATfDM9xu1/kCK6vt66P0xZ8nPy93skgAAAFCHEfxZhO2EWZ+M+gQAAAAAwPp+2XBIX0UfkN0mvTWqt8Ia+JpdEgAAAOo4gj+LOKHhj34/AAAAAAAs7lDKMU38doMk6Z7z26h/m4YmVwQAAAAQ/FmG7cRRn7T8AQAAAABgWVm5Dt39SbSSM3PVNbSeHhzc3uySAAAAAEkEf5ZRZNSniXUAAAAAAIDSGYah/8zboHUHUhTk66EZN/WSpzsfrwAAAMAa+MnUgpx0/AEAAAAAYElfRR/QvDWxcrPb9NZNvdSiIev6AQAAwDoI/izE1fRH7gcAAAAAgOXsP5KpyfM3SZIevbiDzmnbyOSKAAAAgKII/izEXpD8kfsBAAAAAGAtDqehyC/XKiPHob7hDXTnwNZmlwQAAAAUQ/BnIa6GP5I/AAAAAAAs5d2/YrRqz1H5e7nrteu7y81uO/1JAAAAQDUj+LOQwlGfBj1/AAAAAABYxqaDKZr22zZJ0jOXd1JYA9b1AwAAgDUR/FmIraDnj44/AAAAAACsISvXoci565TrMHRxpxBd17u52SUBAAAApSL4sxJXxx8AAAAAALCC137dpm3xaWrk76kpV3eVzcaITwAAAFgXwZ+FFL51cDqJ/gAAAAAAMNuyXYl6b8luSdLUa7qpob+XyRUBAAAAp0bwZyHcNAgAAAAAgDWkZuXq0S/XyTCkG/u20OCOIWaXBAAAAJwWwZ+FsMYfAAAAAADW8Oz3m3QwJUstG/rqqUs7ml0OAAAAUCYEfxZid63xR/IHAAAAAIBZvlsTq3lrYmW3SdOu7y4/L3ezSwIAAADKhODPQgoXCKfjDwAAAAAAc2w+mKoJ89ZLksZf2E69WzYwuSIAAACg7Aj+LKRwiT9yPwAAAAAAql9qVq7unhOtrFynBrVvrAcHtzO7JAAAAKBcCP6spHDUJy1/AAAAAABUu+d+2Kx9RzLVvL6PXr+hh9wK1+QAAAAAagiCPwuh4w8AAAAAAHM89tU6fR19QDab9L+RPRTk62l2SQAAAEC5EfxZyPE1/oj+AAAAAACoLtF7j+qr6AOSpBvOCtNZ4azrBwAAgJqJ4M9CbK5Rn+bWAQAAAABAXXEsx6FHv1rnevzsFZ1NrAYAAAA4MwR/FmIv7PgzuQ4AAAAAAOqKVxZu0+7EDIUEemndpIvl5e5mdkkAAABAhRH8WYhrjT+SPwAAAAAAqtw/MUn6YNluSdLUa7qpno+HyRUBAAAAZ4bgz0Jcoz7L0PO3bFei7vjoXx1MPlbFVQEAAAAAUPtkZOfpsa/XyzDy1/U7v0Ow2SUBAAAAZ8zd7AJwooJRn2Xo+Ltp1j+u798b06eqCgIAAAAAoFaaumCr9h3JVGiQj568tKPZ5QAAAACVgo4/C3F1/JVj1OfRzJyqKQYAAAAAgFpq6c5Efbx8r6T8EZ8B3oz4BAAAQO1A8GchrjX+yjDqs1CAN02bAAAAAACUVVpWrh7/er0k6eazW+i8do1MrggAAACoPAR/FlKRjr9A7koEAAAAAKDMXvx5i2KTjymsgY8mXsKITwAAANQuBH8WYivHGn+F6PgDAAAAAKBs/tyeoM9X7pckvXJtd/l58Z4aAAAAtQvBn4XYCzv+TjPq0zghGQz0oeMPAAAAAIDTSTmWqycKRnyOPTdcZ7duaHJFAAAAQOUj+LMQm61sHX/Hch2u7xn1CQAAAADA6T33w2bFpWYpvKGvHh8aYXY5AAAAQJUg+LOg0036TD2W5/rex4PfQgAAAAAATuX3zfH6ZvUB2WzSq9d1l4+nm9klAQAAAFWC1MhCbIWjPk/T8peWlXvCObaqLAkAAAAAgBrtaEaOJn67QZI0bkBr9QlvYHJFAAAAQNUh+LMQV/B3muNSTwj+AAAAAABA6Z79YZMS0rLVprGfIi9qb3Y5AAAAQJUi+LMQmwrX+Dt19JealXfK/QAAAAAAQFqw8ZC+X3tQdpv02vU95O3BiE8AAADUbgR/FnJ81Oepj0s9RscfAAAAAACnciQjR099t1GSdPegNuoRFmRuQQAAAEA1IPizEHtB8ne6UZ9pdPwBAAAAAHBKz87fpMT0HLUP8deDQ9qZXQ4AAABQLQj+LKSg4e/0HX+s8QcAAACghpgxY4bCw8Pl7e2tfv36aeXKlaUeO2vWLA0YMED169dX/fr1NWTIkFMeD5Tmlw2HNH/dQbnZbXr1uu7ycmfEJwAAAOoGgj8rcY36PHXyR8cfAAAAgJpg7ty5ioyM1KRJk7R69Wp1795dQ4cO1eHDh0s8fvHixbrxxhv1xx9/aPny5QoLC9PFF1+s2NjYaq4cNdn+I5l64pv1kqS7BrZWt+ZB5hYEAAAAVCOCPwtxdfyd5jjW+AMAAABQE0ybNk3jxo3T2LFj1alTJ82cOVO+vr6aPXt2icd/+umnuvfee9WjRw9FRETovffek9PpVFRUVKnPkZ2drdTU1CJfqLviU7M04OU/lJqVp54tgvTwRe3NLgkAAACoVgR/FmIrXOPvNMkfHX8wU1auQ099t0H//Wmz0hg7CwAAgFLk5OQoOjpaQ4YMcW2z2+0aMmSIli9fXqZrZGZmKjc3Vw0aNCj1mClTpqhevXqur7CwsDOuHTWTYRga+c7xP1tv3thTHm587AEAAIC6hZ+ALeR4x9+pkz/W+INZnE5Dj361TnNW7NOsv3dr6P/+UvTeI+W6hmEY+mT5Hr37164qqhIAAABWkJiYKIfDoZCQkCLbQ0JCFBcXV6ZrPPHEE2rWrFmR8PBkEydOVEpKiutr//79Z1Q3aq4f1h/SnqRMSdLrN/RQ8/q+JlcEAAAAVD93swvAcTbXGn+nPo5RnzDLywu36cf1h+ThZlNwgLdik4/ptV+367NxZ5f5GtN+2643F+2UJF3bO0wN/DyrqlwAAADUYC+99JK++OILLV68WN7e3qUe5+XlJS8vr2qsDFaUlJ6tZ+dvkiQ9NKSdruwRanJFAAAAgDno+LMQmxj1Ceuas2KvZv6Z36X30tXd9OSlHSVJuQ6npPwRoJsPpso4xR/gtxbvdIV+J54LAACA2qdRo0Zyc3NTfHx8ke3x8fFq0qTJKc999dVX9dJLL+nXX39Vt27dqrJM1BKTf9isIxk5imgSoHvPb2t2OQAAAIBpCP4sxNXxx6hPWEzUlng98/1GSVLkRe11Te/mrtG0kpSSmasr/2+phr/xt6L3Hi3xGh8s3a2XF2wr93Nvj09TSiZ/5gEAAGoaT09P9e7dW1FRUa5tTqdTUVFR6t+/f6nnvfzyy3r++ee1YMEC9enTpzpKRQ33++Z4zV93UHabNPWabvJ056MOAAAA1F38NGwhNhsdf7CeDQdSNP6zNXIa0vV9muv+C4vePZuV69QdH6/Stvg0SdLBlKxi15i7ap8m/7BZkvTAhW3lbrcVO6Yk7/0do4v/95fumvPvGb4KAAAAmCEyMlKzZs3SRx99pC1btuiee+5RRkaGxo4dK0kaPXq0Jk6c6Dp+6tSpevrppzV79myFh4crLi5OcXFxSk9PN+slwOJSs3L15HcbJEnjBrRW97AgcwsCAAAATEbwZyGFUcipcr9ch1OZOY7qKAfQgaOZuu2jVTqW69CAdo3036u6ugLqQhtiU7RqT8ldfpL0/dpYTZiX/0b8jvNa6eGL2pfpud/7O0Yv/LRFkhRXQphYHnuTMjTu4381f93BM7oOAAAAymfkyJF69dVX9cwzz6hHjx5au3atFixYoJCQEEnSvn37dOjQIdfxb7/9tnJycnTttdeqadOmrq9XX33VrJcAi5vy8xbFp2arVSO/Mr/XAAAAAGozd7MLwHGuUZ+naPlLp9sP1SQlM1e3frBKCWnZimgSoLdG9ZKHW8n3Cni521Xf11NxqVnKzM7TkYwcNfDz1MJNcYr8cp0MQxrVr4WevLRjseCwJO/+tUsv/ry1Ul7HxtgU3frBKiWmZyspPVtXdG9WKdcFAABA2YwfP17jx48vcd/ixYuLPN6zZ0/VF4RaY9nORH2+cr8k6aWru8rbw83kigAAAADz0fFnIcfX+Csd6/uhOuTkOXXXnH+183C6mgR664OxZynA26PIMe4FIaDdJv3fTb3UurGfJGnCvA3q+9/fFTl3re7/bI0cTkNX9wzV81d2KVPoN/PP46HfhRHBZ/Q6lu9K0o3vrlBierYkyXmaMboAAAAAaobMnDw9MW+9JOnms1uoX+uGJlcEAAAAWAPBn4XYdPrkj/X9apc8h9PsElyi9x7RFyv3yTAMPfntBq2IOSJ/L3fNvvUsNa3nU+z4c9o01A1nhentm3vrok4hOpKR49qX5zQ0b02schxODe/aRC9f2032Utb1+3tHgi58bbHmrT6gtxbv1Eu/5Id+Dw1pp/suaFPh17NgY5zGfLBSadl5aujnWeHrAAAAALCeVxdu1/4jx9SsnreeGBZhdjkAAACAZZge/M2YMUPh4eHy9vZWv379tHLlylMen5ycrPvuu09NmzaVl5eX2rdvr59//rmaqq1ahc1QzlOM+kw9RsdfbfH8j5vVffKv2nk43exSFL33qG589x9NmLdBE77ZoK+iDxR08vVUp2aBJZ7j5+Wul67ppqGdm0iS7Cd0871+Qw/1ahGkq3uFavrInq7uwJMt25WoW95fqZiEDEV+uU4vL9gmSYq8qL0eGlJ0fY5TjcA92Rcr9+neT6OVk+fUxZ1C9NyVXcp8LgAAAABri957VB8s2y1JevHqrsWmkwAAAAB1manB39y5cxUZGalJkyZp9erV6t69u4YOHarDhw+XeHxOTo4uuugi7dmzR19//bW2bdumWbNmKTQ0tJorrxqFYxBPlW8w6rN2WLIjUe8v2a2MHIem/LxF7/61q8LX2pWQrq+jD5QrGDvRoZRjuntOtHIKug/n/pu/RsYzl3XS+R3KPmrz/gvb6oIOjbXokUG6skeo5t17rqZd30Oe7qX/b+axr9YX2/boxe31wOB2RbbtScpUr+d/05er9p+yBsMwNOOPnZowb4OchnTDWWF6a1QveZ2iBgAAAAA1R3aeQ098s16GIV3dK7Rc71kAAACAusDdzCefNm2axo0bp7Fjx0qSZs6cqZ9++kmzZ8/WhAkTih0/e/ZsHTlyRMuWLZOHR/4dfeHh4dVZcpUq7JcqjG/Ss/MUn5qlNo39XcekMuqzxjuW49B/vt3gehy19bCith7W8K5N1by+b7mudTg1S9fNXK4jGTlq1chPvVvWL9f5WbkO3flxtBLSsotsv/nsFhpzTni5rnVJ16a6pGvTcp2Td9Kie48N7aD7Lmhb4rFHM3P1w/qDuv6sMKVl5SoxPf81F3I6Db3w0xbNXpp/5++957fRY0M7lGldQQAAAADWl5XrUMTTCyRJjfy99MxlnUyuCAAAALAe09pgcnJyFB0drSFDhhwvxm7XkCFDtHz58hLPmT9/vvr376/77rtPISEh6tKli1588UU5HI5Snyc7O1upqalFvqyqMJ8o7Ny699PVGvzan4pJOD4KklGfNd/rUTu070hmse3ZeeVb78/pNBT55TrX2nqF3aDZeY4ydf8ZhqHHv16vDbEpqu/rofq++WH6uW0batLlnas0MCtc7++cNg3128MD1bNFkJ69vFOx0M9+Ug1Bvp7aeThdQ6b9qQtfW6z9Bb+OuQ6nIr9c6wr9nrq0ox4fFlHsNTicRoU7IwEAAACY6+G5a13fP39lZwX5spY3AAAAcDLTOv4SExPlcDgUEhJSZHtISIi2bt1a4jkxMTFatGiRRo0apZ9//lk7d+7Uvffeq9zcXE2aNKnEc6ZMmaLJkydXev1V4eSOv8JQY8fhdLUu6PrLyC495IQ15eQ59eS3G+TpbteVPUI16++YSrnurL9jtGRnYpFtWw6l6sZZK9SnZX29N+asU57/7l8xmr/uoNztNr01qrf2JGXon5gkTb6iizxKWZOvsjxwYVsdOHpMz1zeSb6e7vr23nNLPK5zs3q6vHszrdydpPjUbO1NytAN7y5XYnp+2BmXmqVG/l6659NoLd6WIHe7Ta9c101X9Wxe5DqF40Y3xKbosjeX6H8je6h9SECVvkYAAAAAlWfzwVT9sjFOkhQa5FPuaSMAAABAXVGjFr5yOp0KDg7Wu+++q969e2vkyJF68sknNXPmzFLPmThxolJSUlxf+/efeo0wM528xl9OQQfY0YKOLknKyGHUZ02Qk+fUxtgUOZ2GZi/dra+iD+jTf/bp+neWy+E0NLxrE91+Xiu52yvWVbf+QLJeWbhNklzXyMx26L7PVis5M1e/bzmsHfFppZ7/944ETV2QH7BPuqKz+rdpqBv7ttD0G3qqXkHnX1Uaf2E7vXRNN/l6nvreA093u968safuGthGkrT+QIor9JOktKxcjZ79jxZvS5C3h12zRvcpFvpJUt9WDTSmf0t5e9i16WCqvlhp3f8PAAAAACjK4TQ0YV7++uCXdGmipRMuNLkiAAAAwLpM6/hr1KiR3NzcFB8fX2R7fHy8mjRpUuI5TZs2lYeHh9zc3FzbOnbsqLi4OOXk5MjTs/iYDy8vL3l5eVVu8VXkeASUn/zlOQuCv8zj4z3Tswn+rM4wDN09J1qLth7WBR0aa0XMEUlSgJe70rLzFODtrmcv76zGAV4af0FbDXrlD6Vm5a/nGBzgpQDvUwdvGdl5evCLtcpzGrqkSxPtP5qpjbGpennhVu1NOj5CdO6q/XqqhDUv9h/J1AOfr5HTkK7v01w392tRub8AVax7WJDiU7IUl5qlx75ar6SMHAV4ueuDsWepT3iDEs/x9nDT5Cu7KNDHQ28u2imH8/RjVbfHp2n13qO6tndzuVdxByQAAACA0n2wdLfWH0hRgLe7Jl/R2exyAAAAAEsz7dNsT09P9e7dW1FRUa5tTqdTUVFR6t+/f4nnnHvuudq5c6ecJ3xov337djVt2rTE0K+mKVyOzFnQ8ZfryP/maObxDqdMgj/L+3VzvBZtPSxJ+mNbgo7lOtQ3vIH+eOx83Xt+G82+9SwFB3rLZrOpvt/xP7c3zfpHI99ZUeI1M7LzXGv4PTt/k3YnZqhpPW9NubqrbAWR8d6kTNlt0l2DWkuS5q2JdXWNfrvmgCbO26D07DzdPSdaRzNz1a15PT13ZZcqXcuvsoQ18JUk9Q1voDm395WvZ374n5SRowZ+nvr8zrNLDf1OVNIrzXM4tf5Ast5fslsTvlmvf/cc0YKNcbr4f39pwrwNWrorqTJfCgAAAIBy2H8kU6/9ul2S9J/hHRUc6G1yRQAAAIC1mdbxJ0mRkZEaM2aM+vTpo759+2r69OnKyMjQ2LFjJUmjR49WaGiopkyZIkm655579H//93968MEHdf/992vHjh168cUX9cADD5j5MipNYYBTOOoztyC0OXLCqM901viztKxch57/cbMk6YruzfTvniNKy8rT8yO6qJG/lx4fFlHsHEdh0itp86HUYvuTM3N0+f8tUXpWnv4zvKO+ij4gm02aPrJHscXsIy9qr7sHtdG3q2N1OC1bv2+Jl5+XuyK/XCfDkNbuT9aWQ6lq4Oept2/uLW8Pt2LPZ0UXdQrRokcGqWVDP7nZba4ELyTQS3Nu76d2FVivLzvPoed+2Kxv18QqM+f436svVu3XiVloehZhOwAAAGAGwzD05HcbdSzXoX6tGmhknzCzSwIAAAAsz9Tgb+TIkUpISNAzzzyjuLg49ejRQwsWLFBISIgkad++fbLbjzclhoWFaeHChXr44YfVrVs3hYaG6sEHH9QTTzxh1kuoVIVhg1Ew6jPXWcIaf3T8Wdqsv2J04OgxNa3nrZeu6SpPN7sysh2nXDcvI6d4mLtuf7LeWrxTj17cQW8u2qn9R45Jkh77On9di/EXtFW/1g0lSYXLBJ7XtpHuOb+t3Ow2XdUrVO/8GaNPlu/V1rhUV5i85VCq3Ow2/d9NPRUa5FOJr7zqtW7s7/r+pr4ttHhbgl68qqtaNPQt97VW7jmq0e+v1D+788ewBnq7KyTQWzsOp0s6Hr5L0os/b1F8apZuO6/Vmb0AAAAAAOXy3dpY/bU9QZ7udk25uqvsFVwjHQAAAKhLTA3+JGn8+PEaP358ifsWL15cbFv//v21YkXJ4xBrOlfwd9KozyMnjPrMyMkP/nw83HQsl+4/K4lPzdJbi3dJkiZcEiFfz/y/XvV8Tz1RN8DbXWkFXWX+Xu5Ky8rVvZ+uVmzyMe1NytTWuLQix/dsEaQHB7dzPb7tvFZauClOk6/okt8NJ6lZvfxQb3lM8TGVEy+J0DltGlXwVVrDHQNa644Brct9XqdmgZLyA1Ap/9f79Rt66IIOwfp9S7zu/CRakvTUpR3VyN9LT3+/UbHJx/Tcj5t1WfemCg5grBAAAABQHbbHp+nhueskSQ8OblfkRkAAAAAApTM9+MNxrlGfkpxOwzUCMjkz13VMYcefn5c7wZ/FvLxgm47lOtSrRZCu6N6szOe9e0sfLduVqDcX7ZQkvfjzVsUm53f4nRz6SfkjPt3djoeJV/YI1ZU9Qku9fqC3u/y83HUoJUuXd2+m2+tw59qwLk218KGB+uyfvdpxOF1PXtpRnZvVkySd166R7hrYWue0baRB7RsXHN9E3Sb/qpw8p7Jznae6tA6nZmnKL1vVr1UD3dC3RZW/FgAAAKC2cjgNXfy/v1yP7xxY/pv+AAAAgLqK4M9Cjnf8Ga4xn1LRNf4yCtb48/dyU2J60fOzch2a9P0mDe4YrIs7N6nyenHc+gPJ+mb1AUnSM5d3ls1W9hE0/ds0VNN63npz0U5l5OTp85X7iuzvEhqojbH5HWr/GR6hlg39ylXbtOt7yM1u04qYJD04pF25aquNOjQJ0OQruxTb7uvpronDOxbZ5u3h5hqlOmn+Jg3tHKKrejaXp7tdWbkOPffjZq3ee1RPDIvQhHnrFZ+arX/3HiH4AwAAAM7Ah8v2uL7/bFw/ebideooKAAAAgOMI/izkxDymcMynJKUcy1Wewyl3N7ur469wjOSJ3v0rRnP/3a+5/+7XnpcurfJ6kc8wDD3/42ZJ0lU9Q9UjLOgMrpX/X083u3IcTnm62zXt+h7am5Spw2lZuqmMgdJZ4Q0UHOClsee20pBO+WtmXhARXOG66rKsgk6/RVsPa9HWw3r6+0264awwbYhN0Zp9yZKksR+uch3vdEq5DicfTgAAAAAVEJt8TK/9uk2S9OJVXWv8MgUAAABAdSP4sxDXqE9Dys0rOlYw+ViuGvp5utb48/cq/ltXuG4ZqtfPG+K0as9ReXvY9fiwDmd8vbAGPrr/gnZ66ruNevqyTmofEqD2IQHlukanZoH65z+D63x3X1XIyXPq4+V7i21vH+Kv7fHpik0+ps6TFuqxiztoHCOJAAAAgDIzDENPf7dRmTkOnRVeXzecFWZ2SQAAAECNQ0uKhRRmNM6TRn1K0tGMHGXlOlWw7J/8vNyKnZ+UnlNsGyqPw2not83xSjlhzcWsXIem/LJFknT3oDZqWs+nQtf2dD/+V/Hla7rr+rPCtHHyUN1ydssK10voVznuGtRanZsFFtveurGfuoTmbx97brimXtPNtS8nz6m/diRUW40AAABAbfD92oNatPWwPNxsmnJ1V9ntvKcBAAAAyouOPwspDGoMo+ioTyl/nb8gX8+C4yQfz+LBX2JGdtUXWYe9/vt2vbFop+44r5WeuCRCHm52zV66WweOHlOTQO8zWnC+WZCPJlwSocb+XurfpqGkomEgzDPxko7SJdLPGw7pcGqWXvx5q85u01Bv3thT3h52HU7NVlgDX+1NyihyXklduQAAAABKtiM+TQ/NXStJuvf8tmobXL6pJwAAAADy8cm0hRTey2hIynOc1PGXmXt8fT8PtxK7uej4qzqJ6dl6b8luSdJ7S3bro+V7dGPfFvom+oAk6YlLOpS47mJ53D2ozRnXiaozvGtTSdLIs1oUCd7DGvhKklo29NPsW/to0dbDmrNinyk1AgAAADWR02nork+iXY/vvYD3RgAAAEBF0VJkIYVZnmEYyi0W/OUovSD48yulkyjlWG6J23Hm3vpjlzJzHK7HuQ5DHy/fq4wch7qHBenK7qEmVofqVFK3baELI0LUoUn++M/Dadmat/qAjp3w5wYAAABAcV/+u18xifkTNH6PHCQv99J/5gYAAABwanT8WciJHX85ecVHfRYGT4wQrF4Hk49pzj97i2yLaBKgw2nZSs/K0zOXdWLtCRQTvfeoovceVVauUzf1a2F2OQAAAIAlHU7L0os/56+b/tSlHdU22N/kigAAAICajQTJQlzjOw0pz3lSx19GzvFRn16nvvvRjRCqUr25aIdy8or+frxybXe1auynlGO5Cg3yMakyWJJRNLQ/mskIXgAAAKA0z/2wWalZeeoSGqhbzwk3uxwAAACgxmPUp4Uc7/grPurzyImjPktYS87pPB42NPTzrLIa65o9iRn68t/8dfzGDWglSerXqoG6Nq8nfy93Qj8U07V5kHxPGAdqL2E9TgAAAADSH1sP68f1h2S3SS9d3U3ubnxEAQAAAJwpOv4spDAfcBrFR30mZ+a6Ov5KGvV54vp+DQj+Ks3037fL4TR0fofGmnhJR13ZI1QRTQLMLgsW1iMsSBueHaoJ36zXV9EHzC4HAAAAsKSM7Dw99d1GSdLt57VSl9B6JlcEAAAA1A4Ef5aSn/wZJYz6PJKRo4yCNf78vNzlOGmcYFJGtut7dzc6jCrDtrg0fb/uoCTp0Ys7yG638WYUZcK4XQAAAODU/vfbdsUmH1NokI8evqi92eUAAAAAtQZzNCzE7lrir/ioz6OZx9f48ythjb/EdNYRq2yv/bpNhiEN79qEwA9n5MRRvAAAAEBdt+FAimYv3S1JeuGqLvItYTkLAAAAABVD8GchhaM+jRNGfQb5ekgq6PgrYY0/wzCUk+dUEsFfpVq3P1m/bo6X3SZFcvcpzsDUBVt11n9/V0Ja9ukPBgAAAGq5PIdTE+atl9OQLu/eTBd0CDa7JAAAAKBWIfizEFvhqE8dH/UZHOAlSUrLylNyZv46fn4nrPH37A+bddZ/f9euhPTqLbaWe+237ZKkET1D1TaYNf1Qfll5x7t2kzJytCM+zcRqAAAAAGv4cNkebTqYqkBvdz1zWSezywEAAABqHYI/Cyns+JNxfNRnoLeHa//RzPyuPn+vomNQUo7las6KvdVSY12wdn+y/tqeIDe7TQ8NptsPFdPY38vsEgAAAABL2X8kU6/9mn+T5ZOXdlTjAH5mBgAAACobwZ+FuEZ9SsotGPXp7mZz7c/IyR/16VvCGn8nrwmIivu/RTslSSN6hKpFQ1+Tq0FNdd8FbfTKtd3UrJ632aUAAAAApjMMQ099t1HHch3q16qBru8TZnZJAAAAQK1E8GchrlGfhpRbMOrTw+34b1F6tkNS8Y4/ScpzGtVQYe23+WCqft8SL5tNuveCNmaXgxqsob+XrusTpoCCrt3JP2zW1AVbTa4KAAAAMMeLP2/Rn9sT5Olm14tXd5XNZjv9SQAAAADKjeDPSgre9zgNQ7kF64N5nhD8ZWTnd/z5eRYP/o7lOE55aSfBYJnMWJzf7Xdp16Zq09jf5GpQGxxMOSZJ2hafprcX71JmQeeuJMUmH9PX0QeUlevg7ygAAABqrQUb4zTr792SpPsuaMt7LQAAAKAKFU+QYBq77XjHX2EH34mjPjOzSx/1eaqOv/s/X6PVe4/qt8iB8i0hNES+nYfT9fOGQ5Ly34wClSE0yEdb49Jcjwv/qi7edli3frBKkvToV+sUHOCl3x4epHq+HiVdBgAAAKiRsvMceub7ja7Hd5/f2sRqAAAAgNqPjj8LKYz4DJU26jM/+Ctp1GdpDMPQD+sOKjb5mP6JOVJZpdZKby3eKcOQLuoUoo5NA80uB7XEA4Pb6YruzVyPDcPQjD92auyHq4ocdzgtWzsT0qu7PAAAAKBKvff3bh1Oy1aAt7tWP32RvNyL38gKAAAAoPIQ/FlI4RIHhmEoNy+/LajIqM+CcZ5+5Qj+jmTkuL5v6O9ZCVWWbM6KvRo9e6XSsnKr7Dmq0r6kTH2/9qAkaTzdfqhEw7s21cvXdnM9Hv/ZGr2ycJuMEpp0H/h8jSb/sKkaqwMAAACqzv4jmXojaock6YURXdTAr+rekwIAAADIR/BnIScubZ7ryO/4O3HUp6NgRmB5Ov4OpWS5vj+xe7AyGYah6b9v11/bE7RmX3KVPEdlynM4Xd2Thd7+c5ccTkMD2zdW97AgcwpDnfDn9gR5utn10tVdtebpi/R/N/V07YtNPqYPlu5x/V0HAAAAairDMPTs/E3KznOqf+uGRaZgAAAAAKg6BH8WYjthjb+SRn0W8vUs+2iUE4O/CfM26H+/bT/DKovbm5SpxPT8zsKaEFfcPWe1ekz+VfuSMiVJh1KO6evo/ZKk+y+k2w+Vz3ZCqt8k0Ftz7zpbN/Rtofp+nrqsWzO1C/Yvcvyk+Rv1x7bD1VwlAAAAUHmunblcUVvzf6Z9fkRn1/tdAAAAAFWL4M9Cjq/xd3zUZ0nBn59neTr+jrm+X7c/Wa8XjFmpTKv21Jy1A7fGper3LfHKcxpave+oJOmdP2OU6zDUr1UDnRXewOQKURt5ubvpxr5hGt61iX64/zz1bFG/yP6nL+ukW88Jdz2es2Kfpv9e+X9XAQAAgOqw4UCKovfmv986v0NjtQ0OMLkiAAAAoO4oe4KEquda4+/4qE8Pt6J3Rfp6usluL/udkid2/FWVwjd0NcH7f+92fe/v5a6EtGx9vnKfJOn+C9uZVRbqgClXdyt138D2jdWjRZA+XLbHtW3d/mQ98fV63XN+G7nZbQpr4FsNVQIAAABnxuk0dPecaNfjd27pbWI1AAAAQN1Dx5+F2AqSP6ch5ZUy6tPvFOv7ebkX/+08lHyshCNPLyEtW87TrDN2MPmYnE5D/9aQ4O9wWpa+X3uwyLb3lsQoO8+pHmFBOrdtQ5MqA6RAbw/dNbC1LuoU4to299/9Ov/VxRrw8h9atjPRxOoAAACAsrnn02jFFrwP/ec/g+XlXvalKgAAAACcOTr+LKSwkc+QoZxSRn36nWJ9v/q+nopLLdrhd7ACHX9RW+J15yfRuuXslnr2is4lHvPLhkO659PVurZ3c+08nF7u5zDDJ8v3Kqegk1KSjmbmaM7yvZLy1/ZjzQmYbeLwjpKkpPRsTfllq76OPuDat+9Ips4xqzAAAACgDGIS0rVwU7wk6a5BrRUS6G1yRQAAAEDdQ8efhdhOGPV5vOPv5FGfpWe19f08i22LK2fwl5Pn1HM/bpbDaWhXQumBXuSX6ySpSDBRmt2JGZr223YlZ+aUq5bKdCzHoTkr9hbZNnXBNmXkONSxaaAujAg2qTKguIb+XhrYvrHZZQAAAABllp6dpwtf+1OSNKBdI00YFmFyRQAAAEDdRPBnIYWjPqUT1/gr+lvkc8qOP48ij51Oo9zB3ycr9mpvUuZpjzuW6yjzNaf8vEVvRO3QD+sPlauWyvTN6gM6mpmrsAY+mnR5J7nbbUpMz5ZEtx+s6YruzbR0woUaXBBK/7P7iL5bE2tyVQAAAEDJbnh3uev7F0Z04T0WAAAAYBJGfVrI8Y6/0kd9+nicetTniY5k5hQZbXk6KZm5eiNqx2mPy8kr+zXzHE4t25UkScouR1hYmZxOQ7OX7JYk3XZuK409t5UujAjWzD9j5O1h17DOTUypCzid0CAfOYz8/xd8uyZW366JVa8W9dWioa8kaU9ihr5dE6srejRTrsOpiCaBZpYLAACAOmrR1nhtjE2VJF3Tq7laNvQzuSIAAACg7iL4s5CyjPr0Lgz+jOLn1/fL7/iLT83WxHkb1K9Vg3I9/5uLdijlWO5pj9sal1psW4CXu9Ky84ptX3cgWeklbK9Of2w7rJjEDAV4u+v6PmGSpJYN/TTl6q6m1gWUhcNZ9C974d+nH9Yd1P2fr5EkvV4Q2H9x59k6u3XD6i0QAAAAddrG2BTd9uG/kqTLujXVa9d3N7kiAAAAoG5j1Kel5Id8hk4/6jMzp3iYVtjxl5CWrc9X7tPj36wvdoy7veRxK/uSMvXR8j2SpKt7hp6yyrX7k4s8buTvqeYN8juQHv1qne79NFpGQZfSkh1Jp7xWdfhw2R5J0o19W8jPi6wbNcvVvULVPsTf9Tg7z6Env93gCv1OtGRHoqL3Hq3O8gAAAFCHGYahJ0543/nkpR1NrAYAAACARPBnKYUdf07DUG4poz59Czr+SurMCzpp1GdJIzntpayzMHXBVuU6DA1o10gD2zc+ZZ1r9yUXedynZQPX6oQJadn6eUOcq74lOxNOea3K9se2w4qcu9YVjO48nKa/dyTKbpNuObtltdYCVIarejbXrw8PUnCAlyTp7jnR+vSffbLZpNaNio5Q+r8/duq6mcuUVLB+JQAAAFCVFm6K16aD+RNh3r2lt5rW8zG5IgAAAAAEfxZiP2HUZ27BqE/3k0Z9Fnb8JZcQ/DUoGPVZXtF7j+qnDYdkt5XtDs21B5KLPO4TXr/E49Kz87TmpJCwKuU6nHr86/WatyZWf23PDxw/WrZXkjSkY4jCCroSgZosPjVbDfw89eHYvlr06Pna8twwdQ8Lcu13GiXfGAAAAABUpqxch174abMkafwFbXUxa6cDAAAAlkDwZyG2EkZ9ep7U8Ve4xl9qCR/s1/Mpf/BnGIbrzdp1vcMU0STwlMenZOYqJiGjyLbeLUsO/lbuTlKes4TFCKtI1JZ4JaTldzrlOQ2lZuXqm9UHJEm3nhNebXUAVaFwTG3fVg308wMDNKigM9fH002XdW2qRv6epzodAAAAqFTv/hWjA0ePqWk9b917QRuzywEAAABQgODPQlxTOE8Y9el+8hp/pxj1efIYzyEdQ+Rb0CFYmp83xGnNvmT5eLjpkYvbn7bGdSd1+3l72NW5Wb0Sj/17R+Jpr1eZPv1nX5HHX/17QJk5DrUP8Vf/Nv/f3p2HR1Xdfxz/zJKZ7PtKEghh3/dNBERBFLXSWsWlSqlbW+xiai1alWp/ilst1mJR69bWhdZaWzdUQJBVkEWRPYQQCGQjZF8mmbm/PwIDQwIkkMkkw/v1PDxP7pm7fO94TObM957viWnTWIDW9vS1A/XkNQP15m2jlBgR6PHa7ePTtf63kxQWyBqWAAAA8L7ckmo9vyxTknT/1D4KtvE5FAAAAGgv+HTejrjzfjpe6jOgUanPhkRgnfPMM+keubqfEsMDlX7/R02+Xlvv1OOLtkuS7pyQrvjwwCb3O9Hm/SUe24NTI2WzmnWwtLrRvqsyGxJ/ITaLKh3OM577XOwvrvJINLoM6W9rsiVJMy5Ik+kUaxsCHcWwLtEa1iX6lK/TxwEAANBWHvtwu2rqXBrZNVpXDkzydTgAAAAATkDirx059sW9YZy61GfQKZ6kbOo7/5hQm8zmUycD/r5mn/YXVys+zK47xqc3K8avjyb+fnFJD5VW12nakGRJUkmV5wzEgvJa7cqvkMkkjegarWU7C5t1/rP11jrP2X7LdhZo3+EqhQda9d2jMQIAAAAAzs3qPUXuNeJ/d1U/HkADAAAA2hkSf+2QoTOX+jxZVLDn+l4RQQGyWxv2HdcjtlHZzSOVDv1pyW5J0j2X9mpWaRbDMNwz/ib0itPQzk2v7SdJK49eb0ByRKPYWlud06V/ftWwlp/VbFK9y9C7G3MlSdNHpFJ2BgAAAABaQXlNnW586UtJ0g9Gd1HfTqdfIx4AAABA22ONv3bk2IOShiHVn6rU5ykTfwEe23FhdvfPr/5whBZnTPB4/bmlmSqrqVfvxDBdMyylWfEdOFKtw5UOBVhM6pvkOcALOWktwWNlPsd2j23Wuc/F4m35KqqoVWyoXYNTI93tJpN08+g0r18faK+qHU4ZxpnLAgMAAADNMfz/Frt/zph85jXiAQAAALQ9En/tiOnoKn8uQ3LUH0v8nVzqs+n/ZCfPqosLPZ74s1rMCj4hMZddVKm/r82WJP32ij6ynKYc6ImOzfbrkxSuwJMSkO/NGqvHvzfAvb3yaOLvQi8m/j7eckhrsw7rzaNlPq8bniLrCYnSib3i1Tkm2GvXB9orp8vQM5/uVP/ffaLeDy7S5c+u0IZ9R3wdFgAAADqw9dnFqj06Tv35xd0V6eXKLgAAAADODom/duRY/s2QoTpnwyydkxN/xxJu//7JGE0b3MndHhVyUuLvhBl/J3ti0Q7VOQ1d1CtO43rENTu+Y4m/E2fVHdMjIUzfP2HmYG29S3arWcO6nLoc6LlYlVmkn7yxUde/uNZdxvT6EZ1VXedy7/OD0Z29cm2gvfvJGxv1p6WZcroM1da7tP1QmRZvz/d1WAAAAOigDlfU6toFayRJN4xMVcalvXwcEQAAAIBTIfHXjrjXRG9Gqc9hXaI17/oh7vbTlfo8kcPp0sff5slsku6f2qdF8Z0u8deU4WlRjWYGtpZXVu712B7XI1adY4L19dEYJWlCz3ivXBto7zILKnwdAgAAAPzID15e5/75VyT9AAAAgHaNxF87YjIdK/V56hl/wTZrk8c2KvV5mhl/kjSuR5x6JoQ1O7Z6p0vf5pZKkgY1M/E3Jj3GY7vOaaikytHsa55Kbb1TS3YUeLRNH5EqSUqKCJQkXTEwqdklTAF/cezBgIEpEVryqwn64/RBmtirYVYv/zcAAADgbHybW6rth8okSb+a3FOxoacfawIAAADwraazSPCJY1/MH0v6SU2s8XeKGXQJ4YEe22cajHWNDWlRbLsLKlRb71KY3aquMc07dkw3z8TfE4t26I+Ld2n5ry9SUkRQi64vSUUVtVq957CsJyX0ooIDNLlvgiRpwQ+GacmOAv30om4tPj/Q0T1xzUDtO1ypG0d1kc1qVre4UG05UKbPdxb6OjQAAAB0QIZh6JEPtkmSrhrUST+7pIePIwIAAABwJiT+2pOj+SyH8/g6dSeX+gy0eSYCfzW5p1bsLtKNozprbdZhd/uZZvylRLUs8bbl6Gy/fsnhMjdzJt3AlMhGbY56l745UHpWib/h/7e4yfZpQ5JltzYkRAelRjZ7RiLgbyb2prwtAAAAWs9HW/K0bm+xAgPMmn15b1+HAwAAAKAZSPy1I6ajmT9H/QmJP+vpZ/z97JIeTT51GXeGGX8pUcEtiu1Ymc8ByRHN2n9QSkSj2YrHnFyWtDlyS6pP+dqxMp8AAAAAgNZRU+fUYx9tlyTdOb6bkiNb/vAmAAAAgLZH4q8dMR2b8XdC4u/kspanKvUpSU7X8RKhZ5rxlxp9djP++jcz8Tf6pPX9ztX7Xx/02B6YEqGUqCDFhwWqd2J4q14L8EfFlQ5t2FesvkkRctS7FBEc4PF6YXmtHnzvW63YXajhadHqFBmoud8b6KNoAQAA4Gt/XZGl3JJqJUUE6scTWEoBAAAA6ChI/LUj5pMSfwEWk3sW4DHWU8yik6TDlQ73z9Ehp59Vlxrd/Bl/9U6XezH35s74O3F9P8MwTrNn87y3Kddj+9phKbp5TNo5nxc4X7y9fr/eXr9fUsO6mGvuu0SBRx8kWLwtX7/59zfu3yHLdzWsCTj7sj6NEoQAAADwf/llNXp+2R5J0uzLeyvIduoHUAEAAAC0LyT+2pFjSb4657HEn2eS7+TZfycrqqh1/2w5zb4RQQEKD2z+l/mZhRWqqXMp1G5VWkzIKfezWsy6qFecqh1OXdg91t2+I6+82ddqys688kbnuGpQp3M6J3C+cDWReD9SVacjVQ5FBAXo9x9s11vrcpp9LAAAAPzfE4t2qMrh1NDOkfoOYy8AAACgQyHx1464S30eTfy1pMynJCWEBTbrOi0u83mgocxnv07hMp8h+fjazJGN2s418fffzbmN2iLPYp1A4Hw0pluM3t14QGU19R7ty3YW6sUvsrS3qFKSdMf4dE0bnKxvDpRo9rtbfBHqOaupc+rzHQUa3DlSBWW16p0UpoqaesWcYs3T0uo6Pb8sU4dKavTUtQNltzbvSXbDMGQynf53IQAAQEe1KeeI3t3YMAabc1U/PvcAAAAAHQyJv3bk2HCq9mipT5vVc8Zf4BnKq1w9uJPyymrOuL5ealTzy3xK0rdH1/drbpnPk/3wgjS9tjrbvb1h3xFZzNKwLtFnPNblMvTfzQ3r+3WLC1FOcZVe/WHj5CKApk3pl6hL+ybIMKSS6jqNfXypquucuu9oci8pIlB/uHaQLjg6S7dXYpg78ffoR9t11aBOOlLp0LAuUSoor9WQ1MgzPgDQHLkl1SqvqWu1NTo/31GgO/+xwWONVKnhAYrFGRO0Yd8Rzf88U5P7JejeKb21cP1+Pf3pThUfLW/6w7FpGto56rTXqKyt1wvL9+jVVdn6wZgu+s1lvVsldgAA/N38+fP11FNPKS8vT4MGDdJzzz2nkSOb/ky/detWPfTQQ9qwYYP27dunP/7xj/rlL3/ZtgGfxwzD0CMfbJMkXTM0RYNSI30bEAAAAIAWI/HXnpg8S31azZ6JvzPN+LNazJo1sfsZL5MS1fwZf4ZhaG1WsSRpQMrZJf5mX95bl/dP1Ox3t2hvUaWeWLRDknRh91hN6Zdw2rX6NuQcUW5JtULtVn3483FyGYaCbXRboCVMJpNMpoa1P389pZfe/+agSqvrNKJLtO6f6rmOn0lSZHCASqrq9M6GA3pnwwGPc82bPljThiS3OIZ6p0vbDpWpZ0KYXvoiS88tzVS9y6Uv75+kuLCmZ+Q1x4EjVXrk/W36dFt+09d1Gbro6WXu7ddWZWvFriJtO7pu6TGrM4tkNZs0MCVShmEo+3CVukQHq6rOqaAAi97ZsF9Pf7pLheUNJZXXZh0+65hby57CCiWEB6qqtl5xYXaexgcAtEsLFy5URkaGFixYoFGjRmnevHmaMmWKdu7cqfj4+Eb7V1VVKT09Xddee63uvvtuH0R8fvvv5oPalFOiYJtF917Wy9fhAAAAADgLZFDakWNf2R6bsRJgbVmpz+ZKjW7+jL9N+0u0M79cdqtZF/VsPDBvjsAAi0alx+jk76RXZhZpZWaRbh6TplWZRXpzXY4eurKvEsKPlyw9VuZzSr9EBbbS/QPnsx9d2FU/urDrKV83m01aeMcYLVi+R//Z1LjMbkF5jY5UOjRv8S7VuwyFBlrVLS5URyodumpQJ3WKbPxgwbaDZfrJGxu073BVo9eKKx1nlfhz1Lv015VZ+tOS3aqpc8lqNunSfgnaX1wtR71LRRW1Onx0Nt+JausbEpBhgVbdPamn5i3epbKaej396S4tWJ6l1380Qg/9d6u2Hixr4qoNv4er65wtjrc1bd5fokc/3Kb12Ufcbb+e0qtZD34AANDWnnnmGd1+++2aOXOmJGnBggX68MMP9corr2j27NmN9h8xYoRGjBghSU2+3pTa2lrV1h5f77ysrOm/4zi9Kke9Hv+44SHNWRO7e4zLAAAAAHQcJP7aEfcaf8cSf5aTZvydodRnc7Wk1OebX+ZIkq4YmOQxK6i1Pf7xDm3JLdXYbrG6fkSqHn5/q4LtVn34zSFJDWVMAbSNXolhmvu9ASqqqFVFbb0y8ytUXtuwRuCXWcV6bmmmyk9aM1BqKN/5yNX93duOepf+/Hmmnv88U/Uuw90eHWJTRU29ez3TU9lbVKlqh1NhgVaFBwa4fwet3lOkB9/7VnsKG9YnHJkWrd9P669eiWGNzlFc6VBZdZ1Kqus0bf4qmUzSDSM761eTeyom1K631uWorKZCklRRW69r/rKmyVjCA636+SU9lBQRpFlvbjxt3N6y7WCZnvlslxZvbzy7cU9BhQ8iAgDg9BwOhzZs2KD77rvP3WY2mzVp0iStWdP039yzMXfuXD388MOtdr7z1YJle5RXVqOUqCDdepoHxQAAAAC0byT+2hHT0Tl/x74MD2hhqc/TMU74OTW6eaU+y6rrtD67ocznTaM6n/W1j3G5jCbbD5VWa8vRdQSdhqHPdxbo9TX73K/Hhtp1QbfTr1sIoHUFBlj091tHubczFm7Wu5tytWRHwSmPOTEZ+PX+Et37zjfamV8u6fhMue8OSdaDV/bV5GeW63ClQx98c1AlVbEalR6jmjqntuSWqldimJ5bslsvrdjrPl/fpHC9NnOEHv1ou3vdz9hQm+6f2kffHZJ8yjKX0SE2RYfYZBiG/vajkUqMCFTPhOMJwozJPfXptnyP2Y3d4kIaZg4e/V38wwvS9ItLeigqxKbPjpYU3ZpbpicW7VDfpHAVVzo0fURqo1nJTpeh/cVV6hITfE5lODMLyvXHxbvdD0KYTdLlA5KUXVSpeqehnfnlchmGSqvqFB5kldNlyHrSgyMAAPhCUVGRnE6nEhISPNoTEhK0Y8eOVrvOfffdp4yMDPd2WVmZUlNTW+3854MDR6r0whdZkqT7p/ah2goAAADQgZH4a0fMJ8/4O7nU5znM+Kt2HC9Nl9LMGX9fH2hIxvVKCNPQzlFnfe1jspso89czIVSLT1qb639fH/TYvnJgEl9iAz5mOfoLymSSbh+XruTIINXUOZVZUKFluwpVWF4ri9mkmjqn/vjZLr20IksuQ4oJsemRq/tr6oBEGUZDKVFJ7jKczy3N1FvrcvSnG4Zo1hsbdaSqrsnrbztUpkv+sFzltfUymaSbR3fRry7tpYig5s1ENplMGt8zrlH75QOSdFn/RDnqXaqordc9l/byWM/U5TLcMZ/I4XTpL8v2uLePVDl0YfdYDU+LlmEYWrarUE98vEM78sr16Hf766ZRXZoV54lyDldp3pJdem9Tro49N3HVoE765aQe6hYXKkl68Ys9euyjHXpv80G9dzQhGh1i05KMCYoKsbX4mgAAdER2u112+9mvGYyGCiy19S6N6hqty/sn+jocAAAAAOeAxF87csZSn+fw1GV6bIjG9YhVcmRQi5/evGFk6jnNVjkdk0z69MTEn2Ho42/zPPa5cmCSV64NoPluHNVZ1XVOzbggTSPSoj1eW7B8jx7/eId2F1To8mdXaG9RQwnOqwd30pyr+in6aALqxF8j8WF2FZQ3rMVTVOHQjS996XHO5MggGYah8tp690zC8tp6DUqN1P9d3d8jOXeuTCaT5t80tMnXTk76hdqb/rM5b/FuPbtkt16ZMUIvrcjS6j2H3a/lFDd+6KEpRRW1ennlXh2pdMhkMulfX+13l0i9tG+C7p7cU32Swj1jV+PfzcWVDmUfriTxBwDwudjYWFksFuXnez7ol5+fr8REkkvtxfrsYn3wzSGZTNJDV/X12tgPAAAAQNsg8deOHBtgnarU57mUWzGbTR5l+5orMMCs7w5NOevrnklFbb2yso6vTfXNgVJ34lOSOkUEtspsQwDnZkjnKP35xtP/v/j1/hJJUkK4XY9OG6BJfRNOue+vLu2pT7bma+nR0qEmk5QWE6Ki8lrdOKqzfjGph4JtVpVW12nM3CUKsJj1m8t66/oRqU3OwGsrI7tG69nrBysmxK5vD5bqjS/3aX9xtSTJMKSZr62XJNmsZiWGB5426VftcOq11dl6/+uDSo4K0qrMIlWdMDtbkib0jFPG5J4alBrZ5Dku7hOvxdvzVVzpUHlNvUqqHaqpO/3aiQAAtBWbzaZhw4ZpyZIlmjZtmiTJ5XJpyZIluuuuu3wbHCQ1VDd4+P2tkqTrR6SqX6fWe7gKAAAAgG+Q+GuHTlXqM/gcSn2erSsHdmp2Kb0z+e3UPlq8PV9f7i12t+WWVHvs8+lJZT+vGJjk0y/5AZzZibOTpw9P1f1X9Dnj743pIzrre0NTdMWfVshmNevh7/TTsC7RjfaLCArQinsnKjDAopBTzLZrSxazSVcPTpYkXdgjViPSovSfTbn6x9ocSQ0JzO8OTlbGpT312qps/XVlwzqFhmHIMKT3vzmo+Z9nKruoSpHBAe5Zj9sOlXlcZ2jnSN03tU+j2ZUn6xYXqoV3jnFvj3tyqTsRCQBAe5CRkaEZM2Zo+PDhGjlypObNm6fKykrNnDlTknTLLbcoOTlZc+fOlSQ5HA5t27bN/XNubq42b96s0NBQde/e3Wf34a/e2XBA3+aWKcxu1a8u7eXrcAAAAAC0At9/iwo3d6lP5ylKffog8XfjqM6tdq7bx6fr9vHpOlRarTV7Divjn1832qe02nN9rysHdmq16wPwjqsGJWl/cZUm9UnQhT1im31cgMWsT345/ozlpGJC2++aPcO6RGtYl2h1jg7Wltwy/XhCeqMn5d9Ym6MXlmcp1G5VRW29u/1Y0k+SUqKC9MAVfdUtLkTltfUakhpJmS0AgF+YPn26CgsL9dBDDykvL0+DBw/WokWLlJDQUBkgJydH5hMqnRw8eFBDhgxxbz/99NN6+umnNWHCBC1btqytw/dr5TV1evKTnZKkn13SXbHt+DMXAAAAgOYj8deOHFuryWhY0knWViz12RLH1rDqkxSuIacoL3cukiKClBge6NGWEG5XflnDl+A2q1npsSFKigjUwFZcxwuAd8SHBep33+l3Vsf6S3LrjvHdTvnasWTfiUk/u9Ws+y7vretHdtbeokr1TAiThdnNAAA/ddddd52ytOfJyby0tDQZxwZE8Kr5n+9RUUWt0mKC9cMLuvo6HAAAAACthMRfO3Ly99+2k0p9BrVR4u+iXnGac1VfXdI7oU2+lI8NtWtwaqQ+2dpQ5vPiXvFacPMwr18XALxpVHqMFn61X+U1DQm/Wy/sqlkTuyvAYpLdapHN2vBwR5+kcK9c3+UytGn/EXWLC1VksM3dXl5Tp+o6p+LDAk9zNAAA8Gfr9hZrwfI9kqQHrujr/lwCAAAAoOMj8deOnDzZo1Gpz4C2GYxZLWbNHNt2T3xO6hPvUeLz8gGJbXZtAPCWyX0TtOV3UyRJTpfRpjP6Pt9RoJ+9tUkHjlRrZFq0fnJRN/VMDNPf1+zTyyuzZDaZtPDOMUqJCqKsFwAA55lqh1PXvbBGktQlJliX9In3cUQAAAAAWhOJv3bkWKnPY04u9emLNf7awqX9EvSvrw5IkmwWsy7uzcATgH9p6zKef1qa6f55XXax1r1WfNIehqbNX6UuMcFa/uuJbRobAADwrb+uyHL//PxNQ/2m9DoAAACABtTzaEfOWOrT5n952mCbRRd0i3Vvj+8Zq7DAAB9GBAAd17GS0KF2q0akRTV6/eR1U3OPVOt/Xx/UwZLqZl+jtKpOu/PLzy1QAADgEwXlNfrL0RKfT14zUP06saY6AAAA4G/8L5PkRxqX+vSfGX/9kiM0tHOkLumToMAAi5IjgyRJ3x+W4uPIAKDjevS7A/TNgVJdMzRZwTarXli+R4EBFuWWVGtCzzhd1CtO/9mUq5W7i/TuplzVuwz9/K1Nurh3vF754QhJDWsDLt9dqLp6ly7td7z0cn5Zjf66IktvfJmjKodT/501VoNSIyVJNXVOfbm3WEM7R/LwBgAA7di8xbtV5XBqUEoEYy8AAADAT5H4a0dOLrHSqNSnHyX+IoIC9O5Px7q3Z1/eW9ePTFX3+DAfRgUAHduItGiNSIt2b//skh6N9vne0BRd3Dte727KdbeVVdfJ6TL00ZZDmv95pnbkNczou31cV3WKDNLuggq989UBOZwu9zFvr9+vHXllOlJVp5dX7lVhea2mD0/VE98f6MU7BAAAZ2t3frneXpcjSbp/ah+Z27gUOQAAAIC20S5Kfc6fP19paWkKDAzUqFGjtG7dulPu+9prr8lkMnn8CwwMbMNovefkYVdAo1Kf7eI/l1dYLWaSfgDQRiKDbZp/41DdOKqzJCmnuEqTn1mun721yZ30k6SXVuzVw+9v05tf5sjhdGlEWpR7hvZb63L0m39v0eMf71Bhea0k6XClo+1vBgAANMvcj3fIZUiX9k3QqPQYX4cDAAAAwEt8nklauHChMjIyNGfOHG3cuFGDBg3SlClTVFBQcMpjwsPDdejQIfe/ffv2tWHE3tNojb+TSn0G+tGMPwCAb10xMEnjezSssVpQXqusokpFBgcoY3JPRQZ7luu8qFec/nnnGP3rxxeod6LnQxrJkUGa0i+h0fm3HSzTr//1tS7943L99I0NevPLHO/dDAAAOK1VmUVauqNAVrNJsy/v7etwAAAAAHiRz0t9PvPMM7r99ts1c+ZMSdKCBQv04Ycf6pVXXtHs2bObPMZkMikxMbHJ1zqyk2f8Wc1mGTLc2/5U6hMA4HspUcEym6ToEJtuH5eum0Z3UajdqmmDk1VYUSur2aTAAIt6nZDsm/u9Adq0v0QJ4YEqr6nT2G6x+udX+/XJ1nwt3ZGvtNkfKiIoQKXVde5jduVXaPuhcl3WP1HVdU6F2qyKOCm5eLCkWq+tztZn2/I1+/LeCgyw6NVVe1VeU69/3DpKQTb+BgIAcDZcLkOPfrhdkvSD0V2UHhfq44gAAAAAeJNPE38Oh0MbNmzQfffd524zm82aNGmS1qxZc8rjKioq1KVLF7lcLg0dOlSPPfaY+vXr1+S+tbW1qq2tdW+XlZW13g20spPXWLBaTKp3HU/8Bdt8nqcFAPiR/skRWj37EkUGB3jMKu8cE6zOMcFNHhMfHqgp/TwfvumVGKYAi0l1zoa/WaXVdTKbpBP+hGnf4UoN/f1nkiSr2aS//WikLugeq60HS/XXFXv1/tcH3X/z7vz7Bo/z7y4o18CUyHO9XQAAzkv/2ZSrbYfKFGa36udNrP8LAAAAwL/4NJNUVFQkp9OphATPEmEJCQnasWNHk8f06tVLr7zyigYOHKjS0lI9/fTTuuCCC7R161alpKQ02n/u3Ll6+OGHvRJ/axudHqOkiEAVVzoUERSg8T3iFGa3anLfBBmGlBBu93WIAAA/kxhx7uvkDukcpa9+O1n/2rBfzy7Zre8OSdbt49IVF2bX1/tLNP3Fte4koNkk1bsMvbEuR/OXZWpV5uEmzxlis6jOacjhdOn9rw/qcIVDE3vHn3OsAACcT6odTj31yU5J0qyLuys6xObjiAAAAAB4m8kwDOPMu3nHwYMHlZycrNWrV2vMmDHu9nvvvVfLly/Xl19+ecZz1NXVqU+fPrrhhhv0+9//vtHrTc34S01NVWlpqcLDw1vnRgAAQJNq6526951vFBVs04/GdtUfF+/Sfzblul+3mE2aOiBJt4/rqoigAD364XYNT4vS9SM76/J5K5RbUi1JCrZZtO2Ry3x1GwDQIZSVlSkiIuK8H+vwPhz356W79fSnu5QcGaQlv5rAuvEAAABAB9WScY5PZ/zFxsbKYrEoPz/foz0/P7/Za/gFBARoyJAhyszMbPJ1u90uu52ZcgAA+ILdatGz1w9xb0cENaztF2Kz6PqRnTVzbJpSoo6XFX3xluHun6NDbO7EX5XD6XHemjqnCstrlRrddElSAADOd4XltfrLsj2SpHsv60XSDwAAADhPmH15cZvNpmHDhmnJkiXuNpfLpSVLlnjMADwdp9OpLVu2KCkpyVthAgCAVpJxaU/Nv3GoVt93iR68sq9H0u9kL90yXAt+MMyjLb+sRk99skNj5i7RuCc/19qspkuFAgBwvpu3eJcqHU4NSonQVQM7+TocAAAAAG3EpzP+JCkjI0MzZszQ8OHDNXLkSM2bN0+VlZWaOXOmJOmWW25RcnKy5s6dK0l65JFHNHr0aHXv3l0lJSV66qmntG/fPt12222+vA0AANAM4YEBumJg8x7WSYwI1DBzlHs7Y+Fmvf/NQdU5j1cpP3CkutVjBACgo9udX6631++XJN0/tY/MZpOPIwIAAADQVnye+Js+fboKCwv10EMPKS8vT4MHD9aiRYuUkJAgScrJyZHZfHxi4pEjR3T77bcrLy9PUVFRGjZsmFavXq2+ffv66hYAAEAbePfo2oAj0qJUVOHQ3qJKVTnqdaTSodLqOr22OlsffHNQP7qwq356UXcfRwsAgO88/vEOOV2GLu2boFHpMb4OBwAAAEAbMhmGYZx5N//BQu8AAHQcNXVOjXx0saocTl0xMEm3XthVA1Mi9cNX12nZzsImjxnVNVoL72xeyXAA8CeMdRqc7+/D6swi3fjXL2U1m/Tp3eOVHhfq65AAAAAAnKOWjHN8PuMPAADgVAIDLFryq4tkMkmxoXZ3u9XceJnitJhgZR+uUlZRpW59bb3umdJLfZLOvy98AQDnL5fL0KMfbZck3TSqM0k/AAAA4DxE4g8AALRrcWH2Rm0/npCuuDCbJCkiyKZrh6dox6FyzXpzowrLa7VkR4GiQmy6YWRnDe0cKZOJtY0AAP7vvc252nqwTGF2q35+SQ9fhwMAAADAB0j8AQCADmd4WrSGp0V7tLlchoICLKp3uVTnNPTOhgN6Z8MBvX3HaI0+w/pG9U6XnIah2nqXAq0W2ayNZxQCANCeVTuceuqTnZKkn07srpjQxg/OAAAAAPB/JP4AAIBf6JEQpm9+d6nmf56peYt3u9vvfecbdYkJ1mszR8pi9pz5l3O4Sn9fm62XVux1t03oGafXfzSyzeJuiazCCr27MVd2q1k/OzqTo9rhVGCAmVmNAHCee2XVXh0qrVFyZJBmjk3zdTgAAAAAfITEHwAA8BsBFrNuGZOmYJtF//zqgDILKpRTXKWc4ir9ZVmm4sMCVVBeoyCbVasyi/T5zgIZhuc5dueXe2zX1jtVVeuUIckkKSrE1mb3IzUk9j7ackgL1+/Xuuxid3t4UIA+2Zqn1XsO6xeX9NBPJ3bT4m0FKqqo1U2jOstqYdYiAJwvCstr9fznmZKkey/rpcAAi48jAgAAAOArJP4AAIBfiQ6x6Y7x3RRgMevVVdk6cKRKLkN6+tNdTe4/oWecLGaTbBazFm3Nc7fnHK7SG1/u09/X7lOVwylJig21a+19F3sk1Q4cqdLC9ftVXlOvX13aU59szddfV2SptLpO+WU1SggPVEyoTX++YajSYkOadQ+GYWhLbqneXr9f728+qPLaekmS2SS5jiYq5/xvq3v/N77cp9fXZKukqq5hP7NJewsr9fG3hzS5b4Ieubp/899AAECH8+ySXap0ODUwJUJXDezk63AAAAAA+JDJME5+zt2/lZWVKSIiQqWlpQoPD/d1OAAAwMsufGKpDhyp9mgLsJj0g9FddPPoLkqPC5UkbTlQqqv+vFJhdquGp0Vp2a7CRrMBJSkiKECl1XXubZNJTe53srnfG6ARaVF6Z0OucoorFWq36vIBSZrYK15Ol6EvdhVq4fr92p5XpiqHU4Xlte5jO0cH67rhKfr+sFRNm79KeWUNpdzSYoO1KvPwaa8bYrNoTLcY3XphusZ0O77W4d6iSlnNJh0qrVF6XIhiWQsK6PAY6zQ4396HzIJyTZm3Qk6X0ax1bQEAAAB0PC0Z5zDjDwAA+LW3bh+toopaRQQFyB5gUW2dUwnhgQqxN/0xqLy2Xp/vLJTUMBuwe3yoLGaTXvwiS5I8kn5S46RfsM2iKodTQQEWVdc5FRkcoJKqOj3z2S6PZJ4kbckt0+acEv3rq/06WFrj8ZrNatbl/RM1fXiqRqfHyHx0fcK37xitwopaDescpZziKv34HxvULS5U1w5P0fPL9mjd3mIFWEzqnxyhTTklqnQ4tXh7gYJsVvVJCtP/vj6ohev3a+vBMo/rTeqToJ9c1E3DukS17A0GAPjU4x/vkNNlaHLfBJJ+AAAAAEj8AQAA/5YaHazU6OAz7tcpMlAhNousFrOuG56im0Z18SjNmV1UqcyCCmUVVaprbIj2FlXq1gu76sZRnbU5p0SrMov0ncGdNL5HnDtJJ0l3/O0rfbotv1HST5K2HyrT9kMNCbjI4AB9b0iKJvdNUIjdoi4xIYoICmh0TFpsiDuutNgQLfrlePdrnaODtTGnRBf3jpfFbNJ3569SUUWtymrqtXxngUY+mieH09Xk/S/enq/DlbWa0DNOt17YVWGBja8NAGhfVu8p0uLtBbKaTZp9eW9fhwMAAACgHaDUJwAAwFFlNXWyW82yWy2tds6PthzSguV7NKlPgq4bnqqYUJs27jui6S+ulSSNSY/R9SNTNaVfogIDWu+6x/x9TbYe/O/x9QD7JIXr+8NS1CU6WKXVDTMRy2vqVFZT797nyWsG6roRqa0eCwDvYqzT4Hx5H1wuQ9+Zv1Lf5pZpxpguepj1XAEAAAC/RalPAACAsxDuhVluUwckaeqAJI+2kV2j9fYdo5UYHugxq9AbLuoVr7Hd89QrIVzXDEtWv04RHq9fMyxFi7fl67a/feVuq6l3ejUmAMC5e/+bg/o2t0xhdqt+fkkPX4cDAAAAoJ0g8QcAANDGTCZTm63DlBodrDduG33afSb1TdD6307Sg+99q0Vb81p8jaKKWn2xq1CBARblldbou0OSFRViO9uQAQBn4Kh36Q+f7pIk/fiibooJtfs4IgAAAADtBYk/AAAAKC7MLsvRtQmfXLRTz3y2S3dP6qkeCaEakRatL3YV6su9xfrBqC4qrnLoX1/t14dbDmlgSqS+2FXoca6SKocyLu3li9sAgPPCW+tylFNcpbgwu2aOTfN1OAAAAADaERJ/AAAAkCR34q+itmG9vzn/a1gbMDrEpuJKhyTpxS+yPI45OeknSf/ZnKtN+0v0zHWDFRfGLBQAaE2VtfV6buluSdLPL+mhYBvDegAAAADHMUIAAACAJOmWMV3kNAx9+M0hj/ZjSb9jAgPMqqlzKdhm0W3j0jVtcCcFWMx6aUWW/rZmn/YXV2t/cbW+3HtYVw7s1Ja3AAB+768r9qqowqG0mGBdPyLV1+EAAAAAaGdI/AEAAECSNDwtWsPTovXYd+tUWF6jf6zNUWl1nb4zqJN6JITqpS+yNDAlUlP6JyrU3vhj5FWDOmnNnsPKL6tRWU29nC5Da7MO65OteRqQHKHvDU3xwV0BgP84XFGrl1Y0zLz+1aW9FGAx+zgiAAAAAO2NyTAMw9dBtKWysjJFRESotLRU4eHhvg4HAADA79z40lqt3nPYPTPwmDvGp+vKgUkamBLpu+AAP8ZYp4E/vw+PvL9Nr6zaq/7J4frfrAtlPlqiGQAAAIB/a8k4hxl/AAAAaFXWozNQTkz6SQ3rA/51RZamj+isqOAAOQ1Dt49Ll91qVlhggC9CBYAO48CRKv1j7T5J0m8u603SDwAAAECTSPwBAACgVf14fLoSw+2a2Cteo9JjdOkfl6uoomGdQJchvbUux73vC8sbStZ9f1iKLugWo9ToYP1v80FtO1SmR7/bX70T/Wu2DgCcrWc+2yWH06ULusXowu6xvg4HAAAAQDtFqU8AAAB4VW29U9/mlum6F9bI6WrZR8+LesXpTzcMUXgrzAisc7pkkpRTXKWPthzSxpwS3T2ppwakRJzzuYH2gLFOA398H3bklenyZ1fIMKT/zhqrQamRvg4JAAAAQBui1CcAAADaDbvVomFdorTxgckKsVskSTvyyrVid5FeW71X+WW17n1D7VZV1Na7t5ftLNR/N+VqdHqMDhypVo+EUKVEBTe6RmlVncxm6VBpjcICrcosqFBYYIAWb8vXf7/O1f7i6iZj6xITTOIPQLv3h093yTCkqQMSSfoBAAAAOC0SfwAAAGgTEcHHZ+31T45Q/+QI/eSibjIMQx9uOSSr2aSLesVr3d5iPf7xDuUUV6mitl4P/ner+7jkyCDdN7W3ggIs2pFXrhCbRZ9uy9fqPYebHYfVbFJUiE2F5bVytXAGIgC0tW8OlOizbfkym6SMyb18HQ4AAACAdo7EHwAAAHzKZDLpyoGd3Nvje8ZpfM84Xf/iGq3NKvbYN7ekWne9uanZ557SL0FhgQGKCbHJZjWrS0yIJvWJ1ysr9+pPSzMlSYZhaFd+haoc9Tpc4VBKdFCTawsWlNVIkuLDA095vSpHw2zFYBsfswG0jj98ukuSNG1wsrrHh/o4GgAAAADtHd9IAAAAoF16+tpB+ja3VClRwdp3uEqz3tzYaJ/eiWG6alAnJYQHKiIoQEEBFsWF2eWod6lrXIhC7af/uLtqz2Fd8oflyiqq9Gj/wejO6hYXqm9zyxQTatP67GJtyimRJA3rEqUByRHqHh+qRd/madWeIl09qJNKq+v0+c5CSQ3l+Cb0jNN1w1O1M79cu/MrNKVfomxWc+u8OQDOCxv2FWv5rkJZzCb9/JIevg4HAAAAQAdA4g8AAADtUkpUsHs9v/7JEeoeP17BNotchqGE8EDV1rk8yoeejcyCiibb/7E255THbNh3RBv2HfFoe2/zQY/tj7bk6aMtefrLsj3KPlwlSXr0u/01ODVSS7YXKCHcrjHpsYoLsyvIZjmnewDgv47N9vv+0BSlxYb4OBoAAAAAHQGJPwAAAHQIvRLDPLYDA84+YXZhjzj9e2Ou+ieHa+qAJA3tHKWaOqeiQ2x6ZdVezf98j3vfMekxunxAojbllGj7oTLtyCuXJA1KjVRlbb0yCyrUNylcl/dP1Gfb8/XNgVL3sceSfpL08Pvb5Kh3ecQxpHOkfn5JDwUHWJRXVqOpA5IUYGFWIABpzZ7DWr3nsAIsJv3sku6+DgcAAABAB2EyDMPwdRBtqaysTBERESotLVV4eOO1WwAAAICaOqdsFrPMZlOj1/YXV8lqMSkpIkiSVFvvlN16PAlZW+9UxsKvZTGbdGm/BC3dXqB3N+VKkgIsJtU5T/3x+8lrBurqIZ08zgc0F2OdBv7wPhiGoeteWKP12Ud08+gu+v20/r4OCQAAAIAPtWScw4w/AAAA4CSnm02YGh3ssX1yks5utWj+TUPd2/06RSg2zK6hnaM0oWecth0q0/rsYj3+8Y5G577339/o3n9/o0l94jU8LVo/ntDtHO8EQEe0YneR1mcfkc1q1qyJzPYDAAAA0Hwk/gAAAAAv6hobovun9nFvD+sSpWFdonRRrzgFB1jlMgw989ku/e/r4+sELt5eoKU7CnT7uHRZmph1CMB/GYahP3zWsLbfD0Z1UWJEoI8jAgAAANCRkPgDAAAAfKB34vHSHPdc2ks9E0K1bGeh8strtL+4Wi6jIQEgkfgDzidLdxTo6/0lCgqw6CcXMesXAAAAQMuQ+AMAAAB8rHNMsO66uIfuuriHSqocGvzIZ74OCYAPGEdnAEvSLRd0UVyY3ccRAQAAAOhoSPwBAAAA7dTBkhqFBVq1JuuwPtuWrwNHqvTMdYMbrTPYmspq6rRiV5HqXS5N6Bmn5bsKtW5vsS7uHa9L+iR47boApE+25mnrwTKF2Cy6czyz/QAAAAC0HIk/AAAAoJ0a/9Tnjdp+/8E2jU6P0cyxaTKZjpcBLaup0/KdhSqtrtMVA5IUGGBRkM2ioopaLd1RoCXb8/Xl3mJN6ZuooopadYkJUWp0kGaO7arsokot3p6vpTsKtG5vsepdRqPrrs06TOIP8CKn6/hsvx9d2FXRITYfRwQAAACgIyLxBwAAALQjdqtFVrPJI/nWJSZYNXVO5ZfV6tNt+fp0W74Wrt+vsd1j1Tk6SIu3F2ht1mH3MQ+8960kqXdimHbml8s4IY+38Kv9Htd7dslulVTVnTKexPBA5ZXVqLC8VnM/3q7rhqeqW1xoK94xAEn64JuD2pVfofBAq24bl+7rcAAAAAB0UCT+AAAAgHYkyGbRP24bpZIqh4JtViVFBKp7fKhe/CJLT32y053c25lfrp355ac91468htcHJEfIbDbp6/0ljfYpqaqT1WzSqPRoXdw7QRf3jleAxaQN+45oaOcoFVbU6nvPr1ZZTb1eWJ6lwxUO3XNpLy3bWSCL2aRrh6e2+nsAnG/qnS49u3i3JOn2cemKCArwcUQAAAAAOioSfwAAAEA7Mzo9plHbnRO66c4J3fTqqr36aMshrc8+Ikka2TVak/sk6JI+8QoNtGrd3mJtO1imfYerNLZ7rC7uHa/EiMBG53tnwwFt2HdE43rE6sIesQoP9Ew0pEQ1rCMYF2bXoJQI7S2qVFlNvf739UG9s+GAe79nl+zWNUNTdNu4rlqVWaSPv81TsM0im8WsX03p1ei8ABp7b/NBZRVVKio4QDMv7OrrcAAAAAB0YCbDMBov4OHHysrKFBERodLSUoWHh/s6HAAAAOCs1NQ5VVvvarOZQf/6ar9+/c43kiSTSWrOKOLJawbquhGpyi2pVmRQgELsPHfoTYx1GnS096HO6dIlf1iunOIqzb68t348oZuvQwIAAADQzrRknMPIGwAAAOiAAgMsCgywtNn1rhzYSUUVDsWH2TWhV5xW7i7Svzce0IrdRY32jQgKUGl1nd5Yl6M/Ld2tA0eq1T0+VB/9fJxsVnObxQx0BO9sOKCc4irFhtp0y5guvg4HAAAAQAdH4g8AAADAGQXZLPrJRcdnIk0bkqxpQ5K1Ynehsg9XaVz3WKXFhkiSZr2xUR9uOeSxpmBmQYV6PfixfjS2qx68sm9bhw+0S7X1Tj23pGFtv59c1F3BNoboAAAAAM4NowoAAAAAZ21cjziN6+HZ9v1hKTpQUq2+SeEa1TVav1y4WVJDedD12cVtHyTQTi1cv18HS2uUEG7XTaM6+zocAAAAAH6AxB8AAACAVjWxd7wm9o53byeEB2rRt4f0+pp9PowKaF9q6pz689JMSdJd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XNtTgd7u5gYCAABAvVel4m/mzJmuUXM//PCDli5dqsWLF+vyyy/Xgw8+eNbv4+HhoZiYGCUkJLj2OZ1OJSQk/Omi8V999ZXsdrtuuummqtwCAOAsdW0ZIDerRTf3a6NfHrxYnUIZ5QcAQEP2zjvvqHPnzift79atm2bOnHnW73OmpR0yMjJOe15ubq78/Pzk4eGhESNG6I033tCQIUNOe/y0adMUGBjo+mGGF9QXk+du0Zj31kiSbjgvQoM6nTz9LQAAAFBZVRq2kZGR4fowtWDBAl1//fW67LLLFBkZqbi4uEq9V3x8vMaPH6/Y2Fj17dtXM2bMUGFhoWsqmHHjxik8PFzTpk2rcN4HH3ygkSNHqlmzZlW5BQDAWXr5ul56dlR3+Xgw0g8AgMYgIyNDYWFhJ+1v3ry5Dh8+XOPX9/f316ZNm1RQUKCEhATFx8erXbt2J00D+juWd0B99OOuTP17bZpr+9ERXUxMAwAAgIakSt/iNmnSRGlpaYqIiNDixYv1zDPPSDoxFYvD4ajUe40ePVpZWVmaMmWKMjIyFB0drcWLF7ueCk1NTZXVWnFgYlJSkpYvX67vv/++KvEBAJVgs1oo/QAAaEQiIiK0YsUKtW3btsL+FStWqGXLlmf9PlVd2sFqtSoqKkqSFB0drZ07d2ratGmnLf48PT3l6el51rkAs+UWlWny3K2u7X9P7Cd/L6b4BAAAQPWo0je511xzjcaMGaMOHTro6NGjuvzyyyVJGzdudH1Aq4xJkyZp0qRJp3xt2bJlJ+3r1KmTDMOo9HUAAAAAAGc2ceJE3XfffSorK9Mll1wiSUpISNBDDz2kBx544Kzf53+Xdhg5cqSkP5Z2ON3nv1NxOp2y2+2VugegLnt64Q5l5tnVLthX/737Avl68pAdAAAAqk+V/rp89dVXFRkZqbS0NL344ovy8/OTJB0+fFh33nlntQYEANRvhmEo316uAJ5iBgCgXnjwwQd19OhR3XnnnSotLZUkeXl56eGHH9bkyZMr9V6VXdph2rRpio2NVfv27WW327Vo0SJ9+umnevvtt6v3JgGT/LgrU18nHpTFIr10XU9KPwAAAFS7Kv2F6e7urn/84x8n7b///vvPORAAoOFYk3xULy5JUmLKcb09to8u73HyekEAAKBusVgseuGFF/T4449r586d8vb2VocOHao0nWZll3YoLCzUnXfeqYMHD8rb21udO3fW7NmzNXr06Gq7P8AsD3y5Wd9sOChJuu38topp09TkRAAAAGiILMZZzpk5f/58XX755XJ3d9f8+fPPeOxVV11VLeFqQl5engIDA5Wbm6uAgACz4wBAvfOXt1dqfcpxzbypj4Z1P3WRt/1Qrl5akqRlSVmuffde2kH3D+lYWzEBAGh0auqzTkpKigoLC9W5c+eT1l+vi/jMh7rohx2ZmvjJetf2rqeHycvdZmIiAAAA1CeV+Zxz1iP+Ro4cqYyMDIWEhLjWZzgVi8Uih8Nx1mEBAA3HgexCTf9ht+ZvPiRJslktCvbzUGYe6/IAAFDXzZo1Szk5OYqPj3ft++tf/6oPPvhA0om11pcsWaKIiAizIgL1Um5xmR77dqtr++u/96f0AwAAQI0568c1nU6nQkJCXP8+3Q+lHwA0PkfySvTYt1s1ePrPrtLvyl4ttTT+Il3WtYXJ6QAAwNl499131aRJE9f24sWL9eGHH+qTTz7RunXrFBQUpKlTp5qYEKifpi3aqcw8u9oG+2rLk5cpNpIpPgEAAFBzWEUaAFBluUVlmvnLPn24Yr9KypySpEGdmusfl3VS9/BAk9MBAIDK2LNnj2JjY13b8+bN09VXX62xY8dKkp577jlNmDDBrHhAvbRib7a+WJcmSXr+mh4K8HI3OREAAAAauioVf/fcc4+ioqJ0zz33VNj/5ptvau/evZoxY0Z1ZAMA1GFfJx7UQ19vUV5JuSSpT+sgPTSss/q1a2ZyMgAAUBXFxcUV1opYuXKlbrvtNtd2u3btlJGRYUY0oF4qKi3XI3O3SJJu7tdGcfydDAAAgFpQpZXZv/nmG51//vkn7R8wYIC+/vrrcw4FAKj7lu48oryScnUK9dd742L1zR0Dzqr0MwxD6TnFMgyjFlICAICz1aZNGyUmJkqSsrOztX379gqf+zIyMhQYyIh+4Gy9vGS30o4VKzzIWw9f3tnsOAAAAGgkqjTi7+jRo6f8wBcQEKDs7OxzDgUAqLuCfE5MT9Sqibfih3TU1dHhslktf3qeIWlZ0hG98v1ubU3P1dMju+vmfm1qOC0AADhb48eP11133aXt27frxx9/VOfOnRUTE+N6feXKlerevbuJCYH6IzHluD5cuV+S9Oyo7vLzZKUVAAAA1I4q/eUZFRWlxYsXa9KkSRX2f/fdd2rXrl21BAMA1E3Pjeqh62JzNKhTc3m62c76vFnL9+t1e7lre39WYU3EAwAAVfTQQw+pqKhIc+fOVYsWLfTVV19VeH3FihW68cYbTUoH1B/2coce/maLDEO6pk+4BnUKMTsSAAAAGpEqFX/x8fGaNGmSsrKydMkll0iSEhIS9Morr7C+HwA0cCEBXhrarUWlzyuwl8vDzaqWgV46cLSoBpIBAIBzYbVa9dRTT+mpp5465ev/vwgEcGpv/rhXe48UKNjPU1Ou6Gp2HAAAADQyVSr+br31Vtntdj377LN6+umnJUmRkZF6++23NW7cuGoNCACo3wa0b6b5mw9peI8w3XNplD5dlaJ/LdtndiwAAACg2u04lKe3f/tb9+mruynIx8PkRAAAAGhsqjzJ/B133KE77rhDWVlZ8vb2lp+fX3XmAgA0EJf3CNPlPcLMjgEAAADUqHKHUw99s1nlTkOXd2/B38AAAAAwhbWqJ5aXl2vp0qWaO3euDMOQJB06dEgFBQXVFg4AAAAAAKA+eO/X/dqWnqdAb3dNvbqb2XEAAADQSFVpxF9KSoqGDRum1NRU2e12DRkyRP7+/nrhhRdkt9s1c+bM6s4JAAAAAABQJ+3LKtCrS3dLkh6/oqtC/L1MTgQAAIDGqkoj/u69917Fxsbq+PHj8vb2du0fNWqUEhISqi0cAAAAAABAXeZ0Gnrkmy0qLXfqoo7NdW2fcLMjAQAAoBGrUvH366+/6rHHHpOHR8VFqiMjI5Wenl4twQAAAAAAdUdaWppuvfVWs2MAdc6nq1O07sBx+XrY9Oyo7rJYLGZHAgAAQCNWpeLP6XTK4XCctP/gwYPy9/c/51AAAAAAgLrl2LFj+vjjj82OAdQpB48X6YXFuyRJD1/eWa2a+JicCAAAAI1dldb4u+yyyzRjxgy9++67kiSLxaKCggI98cQTGj58eLUGBAAAAADUvPnz55/x9eTk5FpKAtQPhmFo8tytKip1qG9kU90U18bsSAAAAEDVir+XX35Zw4YNU9euXVVSUqIxY8Zoz549Cg4O1r///e/qzggAAAAAqGEjR46UxWKRYRinPYYpDIE/fJ14UL/uyZanm1XPX9tDViv//wEAAADzVWmqz4iICG3evFmPPvqo7r//fvXu3VvPP/+8Nm7cqJCQkOrOCAAAAACoYWFhYZo7d66cTucpfzZs2GB2RKDOOJJfomcW7pQk3T+ko9o19zM5EQAAAHBCpUf8lZWVqXPnzlqwYIHGjh2rsWPH1kQuAAAAAEAtiomJUWJioq6++upTvv5nowGBxmTqf3cot7hM3cMDdPsFbc2OAwAAALhUuvhzd3dXSUlJTWQBAOAkpeVOrdibreiIIDXx9TA7DgAADdaDDz6owsLC074eFRWln376qRYTAXXT0h2ZWrjlsGxWi56/pqfcbFWaTAkAAACoEVX66/Suu+7SCy+8oPLy8urOAwCAJMnhNDR3w0FdOn2ZJny0To/N22Z2JAAAGrSBAwdq2LBhp33d19dXF110US0mAuqe/JIyPf7b36W3D2yr7uGBJicCAAAAKqr0iD9JWrdunRISEvT999+rR48e8vX1rfD63LlzqyUcAKDxMQxDP+zI1Cvf71ZSZr5r//HCUhNTAQDQ8CUnJ6tt27ayWCxmRwHqrJeWJOlwbolaN/XRfZd2NDsOAAAAcJIqFX9BQUG69tprqzsLAKCRW7kvWy8tSdLG1BxJUoCXm3q3bqKfd2eZGwwAgEagQ4cOOnz4sEJCQiRJo0eP1uuvv67Q0FCTkwHmK3M4NfCFn5SRd2Lpk2nX9JC3h83kVAAAAMDJKlX8OZ1OvfTSS9q9e7dKS0t1ySWX6Mknn5S3t3dN5QMANAJbDubopSVJ+nVPtiTJ292mCedH6m8XttfPe7Io/gAAqAWGYVTYXrRokaZNm2ZSGqBumblsn6v0G9athc6PCjY5EQAAAHBqlSr+nn32WT355JMaPHiwvL299frrrysrK0uzZs2qqXwAgAZs75F8vfL9bn23LUOS5G6z6Ma+rTXpkiiF+HuZnA4AAACQ0o4V6a1le13bz13Tw8Q0AAAAwJlVqvj75JNP9K9//Ut/+9vfJElLly7ViBEj9P7778tqtdZIQABAw7RgyyF9tHK/nIZksUijosN1/5COimjqY3Y0AAAaJYvFctL6fqz3h8bOMAxNmbdNJWVO9W3bVJ/e1leebkzxCQAAgLqrUsVfamqqhg8f7toePHiwLBaLDh06pFatWlV7OABAw3Uk3y5JuqxrqP4xtJM6hvqbnAgAgMbNMAzdcsst8vT0lCSVlJTo73//u3x9fSscN3fuXDPiAaZYtDVDPyVlycNm1XOjelD6AQAAoM6rVPFXXl4uL6+KU6+5u7urrKysWkMBABquri0DJEkD2jfTg0M7qXfrJiYnAgAAkjR+/PgK2zfddJNJSYC6Ia+kTE/+d7sk6Y5B7RUV4mdyIgAAAODPVar4+/9PgEqnfgqUJ0ABAKdzRc+WurhTiHw9K/UrCAAA1LAPP/zQ7AhAnfLS4iRl5dvVLthXdwxqb3YcAAAA4KxU6lvX//8EqMRToACAyqP0AwAAQF22IfW4Zq9JkSQ9M6q7vNyZ4hMAAAD1Q6W+eeUJUAAAAAAA0JCVOZz659ytMgzp2j6tNKB9sNmRAAAAgLNmNTsAAABVVVzq0Myf9ynuuaV6/NttZscBAABAAzBr+X7tyshXEx93PTqii9lxAAAAgEphrjUAQL1jL3foi7VpevOnvcrKt0uSftmTZXIqAAAA1Hdpx4r06tLdkqR/Du+ipr4eJicCAAAAKofiDwBQb5Q7nPpmw0G9nrBX6TnFkiR/Tzfl28tNTgYAAID6zjAMTZm3TSVlTsW1baq/xLQyOxIAAABQaRR/AIB6IeVokS579RclZxdKkkIDPHX3JR0UFeKnG95dfdrzdmXk6f1f96ttsK/uujiqtuICAACgnlm0NUM/JWXJw2bVs6N6yGKxmB0JAAAAqDSKPwBAvfD7CL8mPu66c1CUbu7fRl7uNiWmHD/l8XuP5OvVpXu0cMthSZKHm5XiDwAAAKeUV1KmJ/+7XZJ0x6D2igrxMzkRAAAAUDUUfwCAOq1FgJekE1N6TrywnW69oK38PE//62t/dqFeT9ijeZvS5TT+2O/83w0AAADgf7y0OElZ+Xa1C/bVHYPamx0HAAAAqDKKPwBAnda3bVMtumegwoO8FejjftrjCu0OPfjVZs3dmC7HbyXfZV1DdWNca034cF1txQUAAEA9syH1uGavSZEkPTOqu7zcbSYnAgAAAKqO4g8AUOd1bRnwp8dkF9j1VeJBSdIlnUN0/+CO6tEqUJl5JTUdDwAAAPVUmcOpf87dKsOQru3TSgPaB5sdCQAAADgnFH8AgHotwOuPX2UDOwQrfkhH9W7dxMREAAAAqC9mLd+vXRn5auLjrkdHdDE7DgAAAHDOKP4AAPVaVIif3r05RsH+nupD4QcAAICzlHasSK8u3S1J+ufwLmrq62FyIgAAAODcUfwBAOo1i8Wiy7q1MDsGAAAA6hHDMDRl3jaVlDkV17ap/hLTyuxIAAAAQLWwmh0AAAAAAACgNi3elqGfkrLkYbPq2VE9ZLFYzI4EAAAAVAuKPwAAAAAA0GgU2ss19b87JEl/u6idokL8TE4EAAAAVB+KPwAAAAAA0Gi8nrBHGXklimjqrbsujjI7DgAAAFCtKP4AAAAAAECjsDszXx8s3y9JmnpVN3m520xOBAAAAFQvN7MDAABQm7YfytU7PyermZ+Hnriym9lxAAAAUEsMw9Bj325TudPQZV1DdUnnULMjAQAAANWO4g8A0Cg4DEN//zRRi7dnuPY9PKwzT3kDAAA0Ev/ZmK61+4/Jy92qKVd2NTsOAAAAUCOY6hMA0CgYhiqUfr/vAwAAQMOXW1ym5xbtlCTdc2kHtWriY3IiAAAAoGZQ/AEAGjQ/Tzd5uJ34dTeiR5i+vet8kxMBAACgtr3yfZKyC0rVvrmvbr+gndlxAAAAgBrDVJ8AgAbN19NNC+++QDarRe2a+6motNzsSAAAAKhFWw/mavbqFEnS01d3dz0UBgAAADREFH8AgAavQ6i/2REAAABgAqfT0GPztslpSFf1aqkBUcFmRwIAAABqFI+5AQAAAACABumLdWnanJYjP083PTaii9lxAAAAgBpH8QcAAAAAABqcowV2vbB4lyQpfkhHhQR4mZwIAAAAqHkUfwAAAAAAoMF5YfEu5RaXqUtYgMb1b2N2HAAAAKBWUPwBAAAAAIAGZf2BY/py/UFJ0jMju8vNxtcfAAAAaBz4yxcAAAAAADQY5Q6nHvt2myRpdGyEYto0MTkRAAAAUHvczA4AAICZjhbY9dHKA3KzWnXv4A5mxwEAAMA5+nhVinZl5CvIx10PX97Z7DgAAABAraL4AwA0Wq98n6TP16aqqNQhSbqpX2s18/M0ORUAAACqKjOvRK/+sFuS9PCwzmrq62FyIgAAAKB2UfwBABqt95fvr7Bd7jRMSgIAAIDq8MzCnSqwlys6IkijYyPMjgMAAADUOtb4AwA0Km5WqzzdTvz66xIWoPfGxcpqqdlr5pWUad2BY3JSLAIAANSYFXuz9d/Nh2S1SM+M7C5rTf+RBwAAANRBphd/b731liIjI+Xl5aW4uDitXbv2jMfn5OTorrvuUlhYmDw9PdWxY0ctWrSoltICAOo7DzerPrm1rz685TwtvPsCDekaKoulZr4UOl5YqunfJ+n853/UdTNX6T8b02vkOgAAAI2dvdyhx+dtkySN6x+p7uGBJicCAAAAzGHqVJ9z5sxRfHy8Zs6cqbi4OM2YMUNDhw5VUlKSQkJCTjq+tLRUQ4YMUUhIiL7++muFh4crJSVFQUFBtR8eAFBvxbVrVqPvn5Vv1/vLkzV7VYoKf1s/UJKyCuw1el0AAIDG6oPl+5WcVahgP0/FX9bR7DgAAACAaUwt/qZPn66JEydqwoQJkqSZM2dq4cKFmjVrlh555JGTjp81a5aOHTumlStXyt3dXZIUGRlZm5EBADitw7nFeufnZP17bars5U5JUtewAFks0vZDeSanAwAAaJgyckv05o97JUn/HN5ZAV7uJicCAAAAzGPaVJ+lpaVKTEzU4MGD/whjtWrw4MFatWrVKc+ZP3+++vfvr7vuukuhoaHq3r27nnvuOTkcjlMeL0l2u115eXkVfgAAqE5px4o0ee5WXfjiT/po5QHZy52KjgjSrFtitfCeC9QlLMDsiAAAAA3Wc4t2qqjUoZg2TTSqd7jZcQAAAABTmTbiLzs7Ww6HQ6GhoRX2h4aGateuXac8Jzk5WT/++KPGjh2rRYsWae/evbrzzjtVVlamJ5544pTnTJs2TVOnTq32/ACAxmPvkQIdLyrVeZFNK+zfl1Wgf/20T99uSpfDaUiS4to21d2XdND5Uc1qbO1AAAAAnLAm+ajmbz4ki0WaelU3/v4CAABAo2fqVJ+V5XQ6FRISonfffVc2m00xMTFKT0/XSy+9dNrib/LkyYqPj3dt5+XlKSIiorYiAwDqsb1H8jVj6R4t3HpYhiH99I9Bahvsq6SMfL3x4x/7JWlgh2DdfUkH9W3b9MxvCgAAgGpR7nDqifnbJUk39m2t7uGBJicCAAAAzGda8RccHCybzabMzMwK+zMzM9WiRYtTnhMWFiZ3d3fZbDbXvi5duigjI0OlpaXy8PA46RxPT095enpWb3gAQIOWnFWg1xP2aN7mQ65iT5JWJx/VS0t2adHWDNe+wV1CNemSKEVHBNV+UAAAgEbs87Wp2pWRryAfdz14WSez4wAAAAB1gmlr/Hl4eCgmJkYJCQmufU6nUwkJCerfv/8pzzn//PO1d+9eOZ1O177du3crLCzslKUfAACVkXK0SPFfbtLg6T/r200nSr+h3ULV1PfE75jJc7e6Sr/Lu7fQwnsu0PvjYyn9AAA4g7feekuRkZHy8vJSXFyc1q5de9pj33vvPQ0cOFBNmjRRkyZNNHjw4DMej8brWGGpXvl+tyTpgcs6qYkv3wkAAAAAkonFnyTFx8frvffe08cff6ydO3fqjjvuUGFhoSZMmCBJGjdunCZPnuw6/o477tCxY8d07733avfu3Vq4cKGee+453XXXXWbdAgCgAbn+nVWauyFdTkMa3CVEC+6+QO/cHKsgH3fXMSN6hGnxfQP19k0x6taS6aQAADiTOXPmKD4+Xk888YQ2bNigXr16aejQoTpy5Mgpj1+2bJluvPFG/fTTT1q1apUiIiJ02WWXKT09vZaTo657aUmScovL1DUsQGP6tjY7DgAAAFBnmLrG3+jRo5WVlaUpU6YoIyND0dHRWrx4sUJDQyVJqampslr/6CYjIiK0ZMkS3X///erZs6fCw8N177336uGHHzbrFgAADYDVIjl++/egTs11/+CO6vU/o/juH9xRa/Yf1c39ItWphb8pGQEAqI+mT5+uiRMnuh7unDlzphYuXKhZs2bpkUceOen4zz77rML2+++/r2+++UYJCQkaN25crWRG3bflYI6+WJcqSZp6dTfZrBaTEwEAAAB1h6nFnyRNmjRJkyZNOuVry5YtO2lf//79tXr16hpOBQBoTG4f2E4Hsgs18cJ26tO6yUmvX9mrpa7s1bJGrp2ZV6L3f03W0p1H9MSVXTWoU0iNXAcAgNpWWlqqxMTECrO4WK1WDR48WKtWrTqr9ygqKlJZWZmaNm162mPsdrvsdrtrOy8vr+qhUec5nYaemL9dhiGNjG6p8yJP/38bAAAAQGNkevEHAIDZHh7WudavmXq0SDN/2aev1x9UqePE2rUJO49Q/AEAGozs7Gw5HA7XjC6/Cw0N1a5du87qPR5++GG1bNlSgwcPPu0x06ZN09SpU88pK+qPuRvTtTE1R74eNk0e3sXsOAAAAECdQ/EHAEAt2p2Zr7eX7dP8zYfkcBqSJD9PNxXYy01OBgBA3fL888/riy++0LJly+Tl5XXa4yZPnqz4+HjXdl5eniIiImojImpZXkmZnv/uRGl896UdFBpw+v+7AAAAABorij8AAGrJxysPuL6skqSLOjbXXRdHafnebL2esMfEZAAAVL/g4GDZbDZlZmZW2J+ZmakWLVqc8dyXX35Zzz//vJYuXaqePXue8VhPT095enqec17Ufa8v3aPsArvaBfvq1vPbmh0HAAAAqJOsZgcAAKCxOJxbIotFurx7Cy24+wJ9fGtf9W3LujQAgIbJw8NDMTExSkhIcO1zOp1KSEhQ//79T3veiy++qKefflqLFy9WbGxsbURFPbD3SL4+WnlAkjTlyq7ycOPrDAAAAOBUGPEHAEANi2vbVAu3HNbwHmG6Y1A7RYX4mx0JAIBaER8fr/Hjxys2NlZ9+/bVjBkzVFhYqAkTJkiSxo0bp/DwcE2bNk2S9MILL2jKlCn6/PPPFRkZqYyMDEmSn5+f/Pz8TLsPmMswDD05f4fKnYYGdwllTWQAAADgDCj+AACoYdfFRugvMa1ksVjMjgIAQK0aPXq0srKyNGXKFGVkZCg6OlqLFy9WaGioJCk1NVVW6x8jt95++22VlpbqL3/5S4X3eeKJJ/Tkk0/WZnTUIUu2Z2j53mx5uFk15YquZscBAAAA6jSKPwAAagGlHwCgsZo0aZImTZp0yteWLVtWYfvAgQM1Hwj1SnGpQ08v2ClJ+tuF7dS6mY/JiQAAAIC6jUnxAQCog0rKHGZHAAAAMN3bP+9Tek6xwoO8deegKLPjAAAAAHUexR8AAHXIhtTjuv3jder8+GLNWr7f7DgAAACmSTtWpJk/75MkPTqii7w9bCYnAgAAAOo+pvoEAKCO+GbDQX26OsW1veVgjnlhAAAATPb0gh0qLXdqQPtmurx7C7PjAAAAAPUCI/4AAKgjikodcrNa1C7Y1+woAAAApvpld5a+35Epm9WiJ6/qxnrJAAAAwFmi+AMAwGQXd2quTqH+mnB+pH556GKNiWvteq2kzKHP1qTo+ndWafG2DBNTAgAA1I4yh1NPLdghSRrfP1IdQ/1NTgQAAADUH0z1CQCAyXq3bqIl91940v4NqTka+OJPysq3S5ICvNw1jGmuAABAA/f5mlTtPVKgpr4eundwB7PjAAAAAPUKxR8AAHVU6rEiSZK7zaIyhyHDMExOBAAAULNyikr16tLdkqT4IR0V6O1uciIAAACgfqH4AwCgjokK8ZPFIrVv7qe/X9ReJWUOPfbtNrNjAQAA1LgZS/cop6hMnUL9dcN5EWbHAQAAAOodij8AAOqYQZ1ClPjYEAV5u8tqtejLdWlmRwIAAKhxezLz9enqFEnSlCu7ys1mNTkRAAAAUP9Q/AEAUAc19fUwOwIAAECtembhTjmchoZ0DdX5UcFmxwEAAADqJR6fAwAAAAAApvpp1xH9vDtL7jaLHh3exew4AAAAQL1F8QcAAAAAAExT5nDq6YU7JEkTzm+ryGBfkxMBAAAA9RfFHwAAAAAAMM2nq1KUnFWoZr4emnRJlNlxAAAAgHqN4g8AAAAAAJjiWGGpZizdLUn6x9BOCvByNzkRAAAAUL9R/AEAAAAAAFO8+sNu5ZWUq0tYgK6PjTA7DgAAAFDvUfwBAAAAAIBal5SRr8/WpEiSplzRVTarxeREAAAAQP1H8QcAAAAAAGqVYRh6esEOOQ1pWLcW6t++mdmRAAAAgAaB4g8AAAAAANSqhJ1HtHxvtjxsVv1zeBez4wAAAAANBsUfAAAAAACoNaXlTj27aKck6dYL2qp1Mx+TEwEAAAANB8UfAAAAAACoNZ+sOqD92YUK9vPUpEuizI4DAAAANCgUfwAAAAAAoFYcLbDrtYQ9kqSHhnaSn6ebyYkAAACAhoXiDwAAAAAA1IpXftit/JJydWsZoGtjWpkdBwAAAGhwKP4AAAAAAECN23k4T1+sTZUkPXFlN9msFpMTAQAAAA0PxR8AAAAAAKhRhmHosW+3yWlII3qEqW/bpmZHAgAAABokJtMHAKAeyS0u0+zVKfom8aBu6tdGt17Q1uxIAAAAf6rP0z/oeFGZJOmRyzubnAYAAABouCj+AACoJzYfzNH5z/+oAnu5JOm7bYcp/gAAQJ23/sAxV+l3QVSwIpr6mJwIAAAAaLiY6hMAgHoiu6BUBfZyBXjx3A4AAKgfDMPQMwt3urY/uCXWxDQAAABAw8c3hwAA1HFdWwbIx8OmLmEBunNQe5WUOXXX5xvMjgUAAPCnFmw5rE1pOfLxsGnZPwbJ081mdiQAAACgQaP4AwCgjuseHqhtTw6V1WqRJH239bDJiQAAAP6cvdyhFxbvkiT97cL2CgnwMjkRAAAA0PAx1ScAAPXA76UfAABAffHxygM6eLxYoQGemngh6xIDAAAAtYHiDwAAAAAAVKvjhaV648e9kqQHLuskHw8mHAIAAABqA8UfAAD1WLnDqW83puvGd1fr01UHzI4DAAAgSXotYY/yS8rVJSxA1/ZpZXYcAAAAoNHgkTsAAOqp/dlFGvTyMh08XixJOl5Uqpv7R5obCgAANHr7sws1e3WKJOnR4V1kY8pyAAAAoNYw4g8AgHoqu8Cug8eL5WGr+Ovc4TS0Ym+2Dh4vMikZAABozJ7/bqfKnYYGdWquCzoEmx0HAAAAaFQY8QcAQD3TrrmfPGxWhQZ66q8D26llkLdu+3i9Sh1Ofb4mVe/9mqz92YXq1jJAC+8ZaHZcAADQiKzdf0xLtmfKapH+ObyL2XEAAACARofiDwCAeqZTC38lPj5YPh5uslktWrE3W5KUnFWof/5nq+u444WlZkUEAACNkNNp6NmFOyRJo89rrY6h/iYnAgAAABofpvoEAKAe8vdyd62X4+X+x6/z8CBvjY1rbVYsAADQiP13yyFtPpgrXw+b7h/Swew4AAAAQKPEiD8AAOq5Xq2C9MjlndUiwEsjeoZp5+E8fbYm1exYAACgESkpc+jFxUmSpL9f1F4h/l4mJwIAAAAaJ4o/AADqOTebVX+/qL3ZMQAAQCP20coDSs8pVosAL90+sJ3ZcQAAAIBGi6k+AQAAAABAleUWl+lfP+2VJP1jaCd5e9hMTgQAAAA0XhR/AAAAAACgyt7/NVl5JeXqGOqnUb3DzY4DAAAANGoUfwAAAAAAoEqOFZZq1vL9kqT7B3eUzWoxOREAAADQuFH8AQAAAACAKnnnl30qLHWoa1iAhnZrYXYcAAAAoNGj+AMAAAAAAJWWlW/XJytTJEnxQzrKymg/AAAAwHQUfwAA4CTpOcVKO1ZkdgwAAFCHvb1sn4rLHOoVEaRLu4SYHQcAAACAJDezAwAAgLrBMAwlphzXe78m6/sdmfKwWZX4+BD5ef7x50KZw6nF2zL04Yr9OlZYqv/ceb6a+HqYmBoAAJghI7dEs9f8MdrPYmG0HwAAAFAXUPwBANDIHC2w66vEgwoL9NLV0eEqdzi1ZHum3vs1WZvSclzH2cudyikqlZ+nm3KLyvTvdan6eOUBHc4tcR2zOzNfce2amXAXAADATG/+tEel5U6dF9lEF3YINjsOAAAAgN9Q/AEA0EgcyC7Ue78m6+vEg7KXO+XhZtXRglLNWrFfB48XS5I83KwaFR2uuRsPqsxhaH92od75+cQ5xWUOSVKwn4eKSh0qKnWYeTsAAMAkB48Xac66NElS/JBOjPYDAAAA6hCKPwAAGriNqcf17i/JWrw9Q4bxx/7ScqeeWrBDktTU10M39Wujm/u1UXN/T83bnK4yh6GbP1jrOr5zC3/ddkFbXdmrpYa//quSswpdrxmGoVKHU55utlq7LwAAYI43EvaqzGFoQPtm6t+ekf8AAABAXULxBwBAA5VfUq7r31mltfuPufZd3Km5xvWP1MRP1qvcaahdsK9uG9hW1/ZpJS/3P0o7d5tVJWVOWSzSpZ1DdOv5bdW/fbOTnugvLC3Xhyv26+OVB3Qk365F9wxUZLBvrd0jAACoXQeyC/X1hoOSpAcu62hyGgAAAAD/H8UfAAANVL69XGv3H5O7zaKro8P11wvbqWOovyRp9u1xKi136oKoYFmtJ0/P9fgVXbUvq0A3nNdabc9Q5E38JFEO5x/DCPceKVBksK/KHU7ll5Sria9H9d8YAAAwzesJe+RwGrqoY3PFtGlqdhwAAAAA/w/FHwAADUyLQC95ulnlYbNqTL/WmjCgrVoEelU4pl+7M0/LdX1sxBlft/028s/hNNSuua/yisuUXVCqY0WleuunvZq9OkVH8u36+u/91bt1k3O7IQAAUCfsPVKgbzelS5LihzDaDwAAAKiLKP4AAGhgQvy9tPKRS+TtYZOPR838qv/7Re318+4sXdMnXBd2aK5r3l6p7IJSPfT1lgrH7c8upPgDAKCBmLF0t5yGNKRrqHpFBJkdBwAAAMApUPwBANAANfPzrNH3vzamla6NaeXadrf9MV1o9/AA5RSV6eDx4hrNAAAAas/Ow3lasOWwJEb7AQAAAHWZ1ewAAACg/rvn0g66uV8bfXNHf/130gVnXBfwVI7klWjR1sMqKXPUUEIAAHAuXv1htyRpRI8wdQkLMDkNAAAAgNNhxB8AADhnAzs018AOzSt1jmEYWp9yXJ+sStF3Ww+r3GnowaGddNfFUTWUEgAAVMXWg7n6fkemLBbpvsEdzI4DAAAA4Awo/gAAQI3KKSrVl+vTtC09T4+O6KIAL3fN25Suj1elaOfhvArH5haXyeE09PPuI/pld7Zu7t9G7Zv7mZQcAABI0vQfkiRJV/dqqQ6h/ianAQAAAHAmdaL4e+utt/TSSy8pIyNDvXr10htvvKG+ffue8tiPPvpIEyZMqLDP09NTJSUltREVAABUwocrDuif/9mqkjKnJOmHHZlyt1mUV1IuSfJyt+rqXuE6XlSq73dkasXebA16+SelHTuxPqBhGJp6dXfT8gMA0NglphzXT0lZslktuncwa/sBAAAAdZ3pxd+cOXMUHx+vmTNnKi4uTjNmzNDQoUOVlJSkkJCQU54TEBCgpKQk17bFYqmtuAAAoBK2pudW2C4uc6i4TGrd1Ec392uj62JbKcjHQ88t2ilJ2n6o4gjAUoez1rICAICT/b6237V9wiu9hi8AAACA2md68Td9+nRNnDjRNYpv5syZWrhwoWbNmqVHHnnklOdYLBa1aNGiNmMCAIBK6N26iVbuO6ph3Vpo/IBIbUo7rucW7dJFHZtr/IA2uqhjiGzWPx7c6RJ2YtqwHuGBurl/G6UcLdRbP+0zKz4AAJC0Ovmolu/NlrvNorsvYW0/AAAAoD4wtfgrLS1VYmKiJk+e7NpntVo1ePBgrVq16rTnFRQUqE2bNnI6nerTp4+ee+45devW7ZTH2u122e1213ZeXt4pjwMAANXn/sEddPclUXK3WSVJfds21bj+kfJyt53y+FG9W2lwl1D5e7lLkt78cU+tZQUAACczDEPTvz8x2u/62AhFNPUxOREAAACAs2E18+LZ2dlyOBwKDQ2tsD80NFQZGRmnPKdTp06aNWuW5s2bp9mzZ8vpdGrAgAE6ePDgKY+fNm2aAgMDXT8RERHVfh8AAKAii8XiKv1+d7rS73e/l37/n2EYWn/gmJ7/bpf2Hsn/02sbhqHNaTl6duEO/bTryNmHBgAALsv3ZmvtgWPycLNq0iVRZscBAAAAcJZMn+qzsvr376/+/fu7tgcMGKAuXbronXfe0dNPP33S8ZMnT1Z8fLxrOy8vj/IPAIB6YlNari5/7VftyjhR+B3JL9H066NPeWyBvVzzNqXr8zWprrUCf92TrYs7n3rNYAAAcGqGYeiV30b7jenbWmGB3iYnAgAAAHC2TC3+goODZbPZlJmZWWF/ZmbmWa/h5+7urt69e2vv3r2nfN3T01Oenp7nnBUAANS+nYcrTtFtL3dq+6FczV6dqu+3Z+iOQe3Vr10zfbYmVfM3pauw1FHh+FKHszbjAgDQIPyUdESb0nLk5W7VnRe3NzsOAAAAgEowtfjz8PBQTEyMEhISNHLkSEmS0+lUQkKCJk2adFbv4XA4tHXrVg0fPrwGkwIAgNrUIdRfktQu2Fdj+7VRob1c03/YrR+2Z2rhlsOu455ZuLPCee2a+2pM39Zq1cRHf5+dWKuZAQBoCAzD0PQfToz2G98/UiH+XiYnAgAAAFAZpk/1GR8fr/Hjxys2NlZ9+/bVjBkzVFhYqAkTJkiSxo0bp/DwcE2bNk2S9NRTT6lfv36KiopSTk6OXnrpJaWkpOj222838zYAAEA1GtqthTY8PkRNfNxlsVj06eoUSSdG8LnbLCpzGK5j3W0WDesepjF9W6tfu6ayWCxak3y0Stc1DEMWi6Va7gEAgPpoyfZMbUvPk6+HTX+7iNF+AAAAQH1jevE3evRoZWVlacqUKcrIyFB0dLQWL16s0NBQSVJqaqqsVqvr+OPHj2vixInKyMhQkyZNFBMTo5UrV6pr165m3QIAAKgBTX09XP8e0iVUq5OPqmtYgK6PjZCHzapp3+1U22Bf/SWmlZr5VX1a731ZBZqzLk1zNxxUqyY++s+dAyj/AACNktNp6NXfRvtNOL9thd/FAAAAAOoHi2EYxp8f1nDk5eUpMDBQubm5CggIMDsOAACoAWuSj2r0u6vVrrmvfnxg0Emvl5Q5tGjrYX2xNk1rDxyr8NruZy6Xh5v1pHMAoK7js84J/O9QdfM3H9I9/94ofy83LX/oEgX6uJsdCQAAAIAq9zmHb7UAAECjseNQnqbM26bznl2q+C83a+2BY7JapIEdgs2OBgAN1ltvvaXIyEh5eXkpLi5Oa9euPe2x27dv17XXXqvIyEhZLBbNmDGj9oI2cuUOp2YsPTHa7/YL2lH6AQAAAPWU6VN9AgAA1KQCe7nmbzqkL9alasvBXNf+Vk28NTo2QtfFRsjbw6ZeU783MSUANExz5sxRfHy8Zs6cqbi4OM2YMUNDhw5VUlKSQkJCTjq+qKhI7dq103XXXaf777/fhMSN17xNh5ScVaggH3fdekGk2XEAAAAAVBHFHwAAaLDSjxer77NLVVTqkCS52yy6rGsL3dA3Que3D5bVemItv9ziMjNjAkCDNX36dE2cOFETJkyQJM2cOVMLFy7UrFmz9Mgjj5x0/HnnnafzzjtPkk75OmpGmcOp1xL2SJL+emE7+Xsx2g8AAACoryj+AABAg2OxnCj07OVOSVK75r668bzWuqZPuJr5eZ7Ve5SUOWQYkreHrcZyAkBDVlpaqsTERE2ePNm1z2q1avDgwVq1alW1Xcdut8tut7u28/Lyqu29G4tvEg8q9ViRgv08dMuASLPjAAAAADgHFH8AAKDB6R4eoMFdQhTg7a4bzmut8yKbuMrAP7P+wDHN3ZiuhVsOK8jHXb88dLHcbSyLDACVlZ2dLYfDodDQ0Ar7Q0NDtWvXrmq7zrRp0zR16tRqe7/Gxl7u0Ou/jfb7+0Xt5ePB1wQAAABAfcZf9AAAoMHx8XDT++PPq9K5Y95f4/p3ca5DecVlZz1KEABQ+yZPnqz4+HjXdl5eniIiIkxMVL/MWZemQ7klCg3w1E392pgdBwAAAMA54vF1AADQ6HnYrLL9tt6fj4dN18e2qvC6YRjacShP2w/lmhEPAOql4OBg2Ww2ZWZmVtifmZmpFi1aVNt1PD09FRAQUOEHZ6ekzKE3f9wrSbrr4ih5uTO9NQAAAFDfMeIPAAA0et4eNs28KUa5xWUa1r2F/Dzd9OX6g5Kk2atTtXh7hnYezpPVIiU+NkRNfD1MTgwAdZ+Hh4diYmKUkJCgkSNHSpKcTqcSEhI0adIkc8NBkjR7dYqO5NvVMtBLo89jlCQAAADQEFD8AQAASBrSNfSU+19dutv1b6ch5RaXUfwBwFmKj4/X+PHjFRsbq759+2rGjBkqLCzUhAkTJEnjxo1TeHi4pk2bJkkqLS3Vjh07XP9OT0/Xpk2b5Ofnp6ioKNPuoyEqKi3XzJ/3SZLuvrSDPN0Y7QcAAAA0BBR/AAAApxDi76kj+XZ1axmg0edFaNqiXSouc5gdCwDqldGjRysrK0tTpkxRRkaGoqOjtXjxYoWGnnjYIjU1VVbrHytQHDp0SL1793Ztv/zyy3r55Zd10UUXadmyZbUdv0H7eGWKsgtK1bqpj/4S0+rPTwAAAABQL1D8AQAAnMK8Seer0F6uqBB/SdJLi5NMTgQA9dOkSZNOO7Xn/y/zIiMjZRhGLaRq3PJLyvTOLydG+917aQe526x/cgYAAACA+oLiDwAA4BTCAr3NjnDOfv/y3GKxmJwEAFCXzFp+QDlFZWrX3Fcje4ebHQcAAABANaL4AwAAaEBKyhz6adcRfbspXT/tytKNfSM09eruZscCANQRuUVlen95siTpvsEdZbPycAgAAADQkFD8AQAAVFJpuVM/7joie7lDV/VqWWFEnWEYWp9yXF+vP6hDucWaMTpazfw8azSPw2loTfJRfbspXd9ty1B+SbnrtfUpx2v02gCA+uW9X5OVX1KuTqH+uqJHmNlxAAAAAFQzij8AAIBKmP7Dbv26J0vHi8okSd1aBioqxE/pOcWam3hQX284qJSjRa7j1x04rmHdW1R7DsMwtONwnuZtOqT5mw4pI6/E9VpYoJc6t/DXT0lZ1X5dAED9daywVB+u2C9Jun9IB1kZ7QcAAAA0OBR/AAAAlTB/86EK2//ZeFCb0nK0ct9R/baknnw9bLJYLCqwl7vW2asuaceKNH/zIX27MV17jhS49gd4uWl4jzBdHR2uuLZN9cueLIo/AEAF7/y8T4WlDnVrGaCh3ar/oRQAAAAA5qP4AwAAOAtdWgZoU2qOhnQN1V9iW+mRb7YoM8+ut37a5zpmQPtm+ktMKw3r3kLjZ63VugPVM83m8cJSLdh6WPM2pleYutPDzapLO4fo6uhwXdy5uTzdbGd8n/ScYjXxcZePB38CAkBjcyS/RB+vOiBJeuCyjhWmqQYAAADQcPCtDwAAwFmYfVucHE5D3h4nyrWwQG9l5tnVuqmP/hLTSqN6hyuiqc9J5x0vKtMnqw7omw3p2p9VoDl/668uYQF/er3iUoeW7szUvE3pWpaUpXLniZGDFovUr20zjeodrqHdWyjQ2/2M71NoL9e/lu3V/E2HtCsjXwM7BOvT2+Kq8L8AAKA++9dP+1RS5lR0RJAu7hRidhwAAAAANYTiDwAA4Cx4uFkrbH8wPlaHc0vUrWXAGUdN/PM/Wytsbz2Ye9rir9zh1Mp9R/XtpnQt2ZahwlKH67WuYQEa2bulruoVrhaBXmed+8DRIr24OMm1/b/rD56JYRjamp4rfy93tQ32PevrAQDqnsO5xfp8TaokRvsBAAAADR3FHwAAQBU08/NUMz/P077u5f7HtJtdwwKUV1Kmg8eLTzrOMAxtP5Sn/2xM1/zNh5SVb3e91qqJt66ObqmR0eHqEOpfqXwh/ifKwd9HCHYJC9CsFfvPeI5hGNqWnqcFWw5pwZbDSs8plr+nmzZOGSKb1aLth/Lk6WatdBYAgLne/HGvSh1O9Y1sqguigs2OAwAAAKAGUfwBAADUgIeHdVZc2yO6tEuouoQF6LaP1lUo/jJySzRvU7rmbkhXUma+a38TH3eN6BmmkdHhimnTpMqjMrq2DND391+oIG93hQR4aUPqcVfxV1RarqU7j+iHHZnq0zpI/do104Ith7Rwy2Ed+H8jAvPt5Xpu0S79sDNDaceK5WGzauOUIfL15M9IAKgP0o4V6cv1aZKkeEb7AQAAAA0e39gAAADUgO7hgeoeHnjS/uV7s/XfLYe0fG+2jBPL9snDzaohXUI1qne4LuzY/KRpRauq4ylG5h3OLVbM00tVXHZiGtH/bj5U4XUvd6su7RyqwV1DdP+czZJUYaRgqcOpAnu5fD3dlFtUpjKnU8FnGPlYWYZh8KU0AFSjN37cozKHoQuigtWvXTOz4wAAAACoYRR/AAAAtWj+/xRt50U20TV9Wml4jzAFervX6HXdrCfKtDKHoTKHQ+42i8ocJ5pHD5tVF3Vqrit7tdSlnUPk6+kmp9PQGwl7dSi3WJd0DtGIHi11zxcb5XAamrshXauSj2rl3mx5uFm18pFLFOTjUaVchmFoz5ECfbc1Q99tO6x9WQX6eEJfDYgKlmEYOlZYesYpVQEAp7c/u1DfbEiXdGK0HwAAAICGj+IPAACgFkQ09ZEkRTbz0TV9WmlU73DXvtrQuUWAburXWt7uNl3Zq6V6hAdq3qZDchqGBncNVYBXxeLRarXou/sGyjD+WK/w3i82SpJeWLzLdVx5qUNZ+fZTFn/JWQXKKS5Tn9ZNKuz/fV3D77Yd1nfbMpScVVjh9a8SD+r7HZlasj1Dh3NLNGN0tEb2Dq+W/x0AoDF5beluOZyGLu7U/KT/FgMAAABomCj+AAAAasFjI7rolgGRatPMx5SpLD3crHpm5P+1d+fxUdX3/sffM5PMZE+AbBDCkoRVNoECYRHRINblwqO9ilwFpLi0Qq+SqlVrpVdbsVYRfooiiGJ7fxbUW7FXKZVF9iAKRFlCEhLCnpUlQ0LWOfeP6NiRIAaYNa/n45HHY86Z75l5Hx7fR5hPPvM9p6/Lvos102xBFpftpDahOlRRrV7to3RLv/Z6bX2BztY2uIw5UGrXyt3FWrn7hPYXN9278H9njtRVHaKUffS0Vu1pWtl35OS39zu0Wswa2S1WJZU12nu8Uh/sOubymnlf3wPR4TBUXFmj9tEhXA4UAC4iv8SuD79eZZ45toeX0wAAAADwFBp/AAAAHhBkMatLbLi3Y1yWFQ+M0NnaBudKxTc2FUqS8kvP6qOvTugfe04or+Tsecc9/8/9yi85q+LKGue+kGCzru0erx/3TdSYnvGKCgnWvDV52nu8UjFhwcrolaATZ85py4EK5ZWc1W9X7NEn+4pVUlmr2bf21rQRXT1z0gDgp+atyZdhSDf0TlDfjuffcxYAAABAYKLxBwAAgB+kTbhVbcLPv6TnA/9/p/NxsMWkkWmx+nHf9np9Q4EKyqq0Kb9ckhRutei6Xgm6qU+iRveIU5jV9aPoL6/rph/3aa/UuHAFWcx6+n/3acuBCq3JKXEZ991Lg7pLSWWNNuWXKyUuXL3bRymroEIb8sqUEheuKeldPJIBAC7FvuOV+nj3CUnSrLHc2w8AAABoTWj8AQAA4JJEhgTrVHW9rBazRnWL1U192yujV4Kiw5ruF3jkZLWWf35Eo7rF6cd9EjWyW6zzfoHNsZhN6pEY6dzuEtu0srBduFVjeyfoZFWdPtlXcqHDL5thGMo5YdfanBKtySnRl0fPOJ8LDbboXH2jJMlskn46sKPCbXyUBuCbXlqTJ0m6uV979Wof5eU0AAAAADyJv1YAAADgkiyaMkiFZVUa2S1WUSHB5z3/qxt66Fc3XPp9pSYP66wxPeLVISZUFrNJL63Oc2n8GYah8rN1io2wXvI9/+oaHPrsYIXW7CvRmpxSHTt9rtlx5+oblRBlU0llrRyG1OAwLun9AMDdvjp6Wqv3lchskmZldPN2HAAAAAAeRuMPAAAAl6RnYpR6JrpvJYnJZHLeT/BfHTpZrT98vE+f7CvRoYpqPTKuh2aMSVNlTb12HT6tgZ1iFBps0ReHTmlrQYUyesUrwhak1ftKtKWgQsNT2ykxKkSrc0q0MbdM9toG52uHBJs1Mi1OY3vHa0zPeGUVVOjoqXMa3T1O3RMi1f3Jf0iSck5U6vODJ7U+r0yJ0SF6ZdLVMplMqqlvlMVsUrDF7LZ/FwD4PnNXN632mzAgSWnxkRcZDQAAACDQ0PgDAACAX9mYV6aNeWXO7Q+zj+mzgydd9rUJa7oMqST9v7X55x3/r+IibcroFa/reyZoRFqsQq3fXo50/IAk5+P6Rofz8R2Ltrm8Rvf4SH159LS2HChXmNWijY+OUWQzqyABwJ12HDqp9bllsphN+s/rWe0HAAAAtEY0/gAAAOAXOrdrWv0XGRKk63vGq77R0Me7Tyiv5KzySs66jP2m6feNYItJSTGhKqqoliT1TIxURq8EZfROUL+kaJnNF79UqMVkUmyETeVna50rAz/NLVWjw3DeT0uSahscOnLynHp3oPEHwLNe/KTpd9G/D+yoLrHhXk4DAAAAwBto/AEAAMAv/GRgRw3s1EYdYkJlDTJr5+FT2nygXClx4Rp3VaIGJMforS0HlRQTphuuStCA5Bgt235YbSNsurZHnKJCgnWwvEpB5uYvIXoxZrNJ794/TMdP12hwlzYKCbbojkVZ2n7wpAZ2aqPresXr9Q2FOnOu/uIvdgHVdQ2y1zQoPtImhyF9efS0jp8+p4xeCQoJtlz8BQC0WlkFFdpaUKFgi0m/vD7N23EAAAAAeAmNPwAAAPiNf13BMrBTG305+waX54eltHPZvntEV5ftrpe5AiYlLkIpcRHO7b/eO0zn6hsVZm36WL10S5HzuVNVddqYXyazyaRb+3dw7nc4DO0+dkbr9pdqfW6pvjx6Rvddk6L9xXZtzi+Tw2i6/GhDo8O5cvH3E/qod4corc8t06GKKo0f0EFF5dXakFemA6Vn9fT4q3R9r4TLOjcA/sswDM1dnStJmvijZHVs0/IvNwAAAAAIDDT+AAAAgEtkMpmcTb9/9eCyXSooOyuH0bQdH2lT2dlardtfqg25ZaqoqnMZv2hjoct2mb3WZfu3H+6RYXy7/WH2cZfnV+8rofEHtGKb8sv1edEpWYPMmjmGe/sBAAAArRmNPwAAAOAKCbaYJUn5pU33HDSZJMOQJi7a5jIuwhakUd1idbC8SvuL7Rqe2k7X9ohTmDVIa3NK1Kt9lK7tEa81OSVatLFQhtF0b0N7TYPzNUamxaq+0aHPDp703AkC8DmGYejF1U339rtraGclRod4OREAAAAAb6LxBwAAAFwhv7qhu9btL9WwlHYa0zNes5Zla3tRU2MuLT5CY3rEaUzPeA3u3FbWIHOzr3HXsM7Ox2nxEeoaG660+AhdnRwjk8mkg+VVah8donBbkF5Zl0/jD2jl1uaU6ssjpxUabNEvrk31dhwAAAAAXkbjDwAAALhCfjKwo34ysKNz+/l/76edh0/pR13aKrlty++51TbcqklDOrnsS4uPaHbsoYoqbcwrU06xXXcN7azeHaJa/H4A/IvDYWju16v9pgzvrLhIm5cTAQAAAPA2Gn8AAACAm3SJDVeX2HC3v8//7DyqZZ8fcW6fq2vUSxMHnDfu6KlqfXX0jAZ2asPlAIEA8M+9xdp3olLhVovuv4bVfgAAAABo/AEAAAB+Kyo0WJJU32goyGxSbIRNxZU1qmtwSGpqAG4rrNCGvDJtzC9TYVmVJCmjV4LemDrYa7kBXL5Gh6GX1jSt9vvZyK5qG271ciIAAAAAvoDGHwAAAOCnfjKwoxwOQx1iQpWe2k4f7Dqmpz7cq5wTlbrrjc+0/eBJ1TU6zjvuyMlqfZh9TJvyy7Xz8CndNiiZe4MBfuajr44rr+SsokKCdM+oFG/HAQAAAOAjaPwBAAAAfirCFqS7R3Q9b39heZUKy5tW9yXFhOqa7rG6plucahoaNWv5l8otsevBZdnO8e/tOELjD/AjDY0OzV+TL0m6d1SKor9e/QsAAAAANP4AAACAAHFt93j1STqiduE2XdM9TqO7xyk1Llwmk0mSdKD0rEwmyTCkXu2j1LltmFbtLfZyagAttSL7uArLq9QmLFjTRp7f/AcAAADQetH4AwAAAAJEp3Zh+uiXoy74fFp8hDY9OkZWi1nxUSHafvAkjT/Az9Q3OjR/bdO9/e4fnaoIG2U9AAAAgG9RIQAAAACtSMc2Yd6OAOAyvPfFUR05eU6xEVZNSe/s7TgAAAAAfIzZ2wEAAAAAAMDF1TY06pV1Tff2+8W1aQqz8l1eAAAAAK5o/AEAAAAA4AeWbT+i42dqlBgVojuHdvJ2HAAAAAA+iMYfAAAAAAA+rqa+UQs+PSBJmnFdmkKCLV5OBAAAAMAX0fgDAAAAAMDH/fe2Qyq11yopJlQTByd7Ow4AAAAAH8UNAQAAAABIkgzDUFFFtRKjQhRq/XY1kcNhaN+JSm0+UK5thRXq1zFGmWO7ezEp0LpU1Tbo1fUFkqT/vD5N1iC+wwsAAACgeTT+AAAAgFbuVFWdZi3P1rr9pTpzrl7DUtrqxdsHaHN+mTbll2trQYVOVtU5x6/PLdMvr0tTsIXmA+AJS7cW6WRVnTq3C9NPBnb0dhwAAAAAPozGHwAAANDKnaqu1we7jjm3txWe1Ijn1rmMCbdaNLBzG23KL5cknThdo+1FJ5VVUKGUuHDNGJPm0cxAa1FZU69FGwslSQ9e342GOwAAAIDvReMPAAAAaKX6JkVrUOc2qm90aGRarLonROqh5dmSJIvZpP4dozWyW5xGdYvVgOQYnatvVL/ffSJJuuZPn7q81p1DOykmzOrpUwAC3pubD+rMuXqlxoVr/IAkb8cBAAAA4ONo/AEAAACtVKjVov/5xXCXfQlRIbLX1GtYajtFhQS7POcwDEXagmSvbZDZ1NQ4/PLoGUlSg8No9j1OnDkni9mk+MgQ5z7DMFRQdlZbCyq05UC5ahscennS1Yr8zvsBrd3p6jot2XRQkjRrbHdZzCYvJwIAAADg62j8AQAAAHBKT213wedsQRb99b5hOnGmRkO6tFV0WLC6PPaxy5hTVXXKKmxq6G0tqNDB8ipZg8x67/505RbbtbWgaX+pvdbluC0HKnRjn0S3nBPgrxZvKpS9tkE9EyN1U5/23o4DAAAAwA/Q+AMAAADwg/VJilafpOjz9s9bk6fsI6e193iljO8s/qtrcGj8gi0u+2xBZg3u0kb5JWdVaq+V8fVBdQ0O1TU6FGGjVEHrVnG2Vm9tKZLUtNrPzGo/AAAAAD8A1TQAAACAy/bf2w47H3dPiNDw1FiNSIvVi5/kan+xXZJ0dacYjUiN1fC0dhrYqY1Cgi26fWGWSu21+t+vjuud7Yf1RdEp1TQ06u8zRqpvx/MbjEBrsXBDgarrGtU3KVo39E7wdhwAAAAAfoLGHwAAAIBL9u+DOmr7wZMa0rWtRqbFanhqO8VHfXs/vwHJMcovtatvUvT33sNv5e5il+19J86ob8doVZyt1cmqOqXFR8hkYsUTWofSyhr9OeuQJClzbHfmPgAAAIAfjMYfAAAAgEv2wm39v/f5uEib4iJtF3z+lv7tdez0OfXuEKXhqe30YfZxZR85rfd3HNVbW4qcqwXfmDJYGax6Qivx6voC1TY4dHWnGF3bI87bcQAAAAD4ERp/AAAAALxmSnoXTUnv4tzecqBCkvR50SmXcUUVVZ6MBXjN8dPn9M5nTZfOffiGHqz2AwAAANAiNP4AAAAA+IxJQ5J15lydeiRGKj0lVh/sOqo1OaUXHF9SWaMjJ6vVr2OMrEFmDyYF3OOVTw+ortGhoV3banhqO2/HAQAAAOBnaPwBAAAA8BnX90rQ9b2+vaTnmpwSSdLe45V6dmWOsgoqtPvYGXWLj1CDw9DB8qaVgE/e3Ev3jEpRTX2jjp0+py7twmUxs1IK/uXIyWq9+/kRSdKvWO0HAAAA4BLQ+AMAAADg8z7YdcxlO7/0rMv2+zuO6pN9Jco+fFp1jQ49emMPPXBtmicjApdt/tp8NTgMjeoWqyFd23o7DgAAAAA/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= (pred_probs > 0.5).astype(int)\n","\n","cm = confusion_matrix(y_test, y_pred)\n","\n","plt.figure(figsize=(6,4)) # remove dpi here\n","\n","sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues',\n"," square=True,\n"," annot_kws={\"size\":14}\n",")\n","\n","plt.xlabel(\"Predicted\", fontsize=12)\n","plt.ylabel(\"Actual\", fontsize=12)\n","\n","plt.xticks([0.5,1.5], ['0','1'], fontsize=11)\n","plt.yticks([0.5,1.5], ['0','1'], rotation=0, fontsize=11)\n","\n","plt.tight_layout()\n","\n","plt.savefig(\n"," base_path + \"/figures/confusion_matrix.png\",\n"," dpi=300, # high resolution only for saved file\n"," bbox_inches=\"tight\"\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":407},"id":"nlxvAQKnNylL","executionInfo":{"status":"ok","timestamp":1774373560252,"user_tz":-330,"elapsed":827,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"200f1438-32f9-4a41-885e-a5e38be2c4c4"},"execution_count":27,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["fpr, tpr, _ = roc_curve(y_test, pred_probs)\n","\n","plt.figure(figsize=(6,4)) # normal display size\n","\n","plt.plot(fpr, tpr)\n","\n","plt.xlabel(\"False Positive Rate\")\n","plt.ylabel(\"True Positive Rate\")\n","\n","plt.grid(True)\n","\n","plt.tight_layout()\n","\n","plt.savefig(\n"," base_path + \"/figures/roc_curve.png\",\n"," dpi=300, # high resolution only for saving\n"," bbox_inches=\"tight\"\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":407},"id":"1Z80HZ8eN1bf","executionInfo":{"status":"ok","timestamp":1774373574172,"user_tz":-330,"elapsed":798,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"d7ec8c41-cea5-49a1-8c13-0db85eec8b58"},"execution_count":28,"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["precision, recall, _ = precision_recall_curve(y_test, pred_probs)\n","\n","plt.figure(figsize=(6,4)) # normal display size\n","\n","plt.plot(recall, precision)\n","\n","plt.xlabel(\"Recall\")\n","plt.ylabel(\"Precision\")\n","\n","plt.grid(True)\n","\n","plt.tight_layout()\n","\n","plt.savefig(\n"," base_path + \"/figures/precision_recall_curve.png\",\n"," dpi=300, # high resolution only when saving\n"," bbox_inches=\"tight\"\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":407},"id":"R9w-OUIBN36i","executionInfo":{"status":"ok","timestamp":1774373579004,"user_tz":-330,"elapsed":812,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"d62ffeb0-6632-4810-d0a5-d6ef599b0c59"},"execution_count":29,"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAk4AAAGGCAYAAACNCg6xAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAASJBJREFUeJzt3XlYVOX7BvB7ZhgGUBYVWUR0RNwX3BLRXENRyLTFLE2Nyr6Z/DKpDNTEJZWyLDPLMrdK0zKzEkQRldxJEXPBFRA3EFQEQWBgzu8PcnSaQYdxZg4M9+e6uK4571l45mnS23POvEciCIIAIiIiInooqdgFEBEREdUUDE5EREREBmJwIiIiIjIQgxMRERGRgRiciIiIiAzE4ERERERkIAYnIiIiIgMxOBEREREZyEbsAixNrVbjypUrcHR0hEQiEbscIiIiEpkgCCgoKECjRo0glT74nFKtC05XrlyBt7e32GUQERFRNXPx4kU0btz4gdvUuuDk6OgIoKI5Tk5OJj++SqXCtm3bMGjQIMjlcpMfn/Rj38XBvouHvRcH+y4Oc/c9Pz8f3t7emozwILUuON29POfk5GS24OTg4AAnJyf+T2VB7Ls42HfxsPfiYN/FYam+G3ILD28OJyIiIjIQgxMRERGRgRiciIiIiAzE4ERERERkIAYnIiIiIgMxOBEREREZiMGJiIiIyECiBqe//voLQ4cORaNGjSCRSLBp06aH7rNr1y506dIFCoUCvr6+WLVqldnrJCIiIgJEDk6FhYXw8/PDkiVLDNo+PT0dISEh6N+/P1JSUvD222/jtddew9atW81cKREREZHIM4cPGTIEQ4YMMXj7pUuXolmzZvj0008BAG3atMGePXvw2WefISgoyFxlEhEREQGoYY9c2b9/PwIDA7XGgoKC8Pbbb4tT0H/cKS3H6av5uFQInLiSDxsb7fY2beAARztO0U9ERFRT1ajglJWVBXd3d60xd3d35Ofn486dO7C3t9fZp6SkBCUlJZrl/Px8ABXPvVGpVCat70xWPoZ/fQCADRb8c0BnvWtdWyS+0we2Nrwn39Tu/rc09X9TejD2XTzsvTjYd3GYu+9VOW6NCk7GmD9/PmbNmqUzvm3bNjg4OJj0d10tApzlMr3rbqkkyL1dio2b4+Bka9JfS/eJj48Xu4RaiX0XD3svDvZdHObqe1FRkcHb1qjg5OHhgezsbK2x7OxsODk56T3bBACRkZEIDw/XLOfn58Pb2xuDBg2Ck5OTyWscq1IhPj4eAwcO1HqCc8sZ2yAIQGDgE3CtqzD5763tVJX0ncyLfRcPey8O9l0c5u773atRhqhRwSkgIACxsbFaY/Hx8QgICKh0H4VCAYVCN6jI5XKzfugrO76NjXl/b21n7v+upB/7Lh72XhzsuzjM1feqHFPUm21u376NlJQUpKSkAKiYbiAlJQWZmZkAKs4WjR07VrP9G2+8gbS0NEyZMgWnTp3CV199hZ9//hmTJ08Wo3wiIiKqZUQNTocOHULnzp3RuXNnAEB4eDg6d+6MGTNmAACuXr2qCVEA0KxZM8TExCA+Ph5+fn749NNP8d1333EqAiIiIrIIUS/V9evXD4IgVLpe36zg/fr1w5EjR8xYFREREZF+/F48ERERkYEYnIiIiIgMxOBkIXevSAqo/NIkERERVW8MThZ2KOOm2CUQERGRkRicLKxMzTNORERENRWDk4U8pqwHALCVSUSuhIiIiIzF4ERERERkIAYnIiIiIgMxOBEREREZiMHJwnhvOBERUc3F4GQhdwPTm2uSUVJWLm4xREREZBQGJws5fOHe/E3X8ktErISIiIiMxeAkAglnJCAiIqqRGJwsJGJIa7FLICIiokfE4GQhb/RtDjs5201ERFST8W9yEQj8Zh0REVGNxOBkQcUqNQBgxu/HRa6EiIiIjMHgJIKdp3MM2i6/WIVVe9ORdavYzBURERGRIRicRNLn451ISr9R6fpytYC+H+/EzD9PYmnieQtWRkRERJVhcBJJ5o0ifBx3qtL1i7afwc0iFQBg1b4MqDnlOBERkegYnCxo5cuPaS0funATE348rLPdoYwbWLzznNZYUkblZ6eIiIjIMhicLEgm1Z35csvxLJSWqSEIArLzi1GsKseUX//R+ebd/TOPExERkTgYnKqJ6ZuOw39eAp5bug9pOYVo6KjAwalPaNYv2HpaxOqIiIgIYHCyqJwC/c+ou1ZQjDUHMwEAxy/nAwBmPdUO7k52aORsp9lO4ARQREREomJwsqAOjZ31jn+3O11r+TFlPQxp7wEAmPt0B834u7/8g+u3+YBgIiIisTA4WVBLd0dsD++Dj5/rqDW+al+G1vLU4DaQ/Psk4DaeTprxX5MvYfEO7ZvGiYiIyHIYnCzM180Rz3fzxpkPh1S6Tecm9TSvPe67VAdUhKznv9mP31Mum61GIiIi0o/BSSS2NlI0rmevWX66sxeGd2qEPe/319n26c5eWstJ6Tfw9voUc5dIRERE/2EjdgG12aWbdzSvo4a2hYuDrd7tZg1rh5bujvjovgkzeZ84ERGR5fGMUzXQ0FFRaWgCACc7OSb0a44xPZpqjc/fkmru0oiIiOg+DE4iclRUnPB7a4CvQdu/P6Q1Zg9rp1n+JjENl/PuPGAPIiIiMiUGJxH99HoPfPRsB7z0nzNJlamrsEH3ZvW1xr7699EsOQUlWLEnHXlFpSavk4iIiCowOImovZczRj7WRDP1gCFauDniyY6emuU1BzNxJe8OHpu7HbM3n8S6vy+ao1QiIiICg1ONI5NK8OWoLujcxEUz1jN6h+b1T0mZnGGciIjITBicaqigdh56xy9cL0KP+QmI3nJK73oiIiIyHoNTDeXbsK7WsvS+q33Z+SVYmngeGbmFFq6KiIjIujE41VB9WzVE1NC2COnoiXcHtcT43j462/T7ZBdKy9QAKh4QfOF6IS/jERERPQIGpxpKLpMitFczLBnVBWEDWsDfp77e7faey4UgCHhzTTL6LtiFHw9mWrhSIiIi68GZw63E474N8f7g1ujT0hVpOYX4v5+OAABCV/2Nbk3r4dCFmwCAE5dvae13644Kfxy9gqC27nBzstM5LhEREd3D4GQlbG2kmNCvOQCgXSNnTXACoAlNALDu74vo0NgZqjI1isvUmpvIP9h0HBnRIZYtmoiIqIZhcLJSYwOa4vv9F/Sum/bbcb3jf2fcQCdvF8hlvIJLRESkD/+GtFLje/ugy79zPf3fAF+sec3/ofuMWLofLaZtQXLmTajVvImciIjov3jGyUp513fAxjd7aZYFQcBbT7TAFwlnNWOPKeth/jMdEbgwUWvfZ77aBxcHOVJmDLJYvURERDUBg1MtIZFIED6wJcIHttRZN+mJFlh0X6ACgLwiFX44cAFjDHyOHhERUW3AS3WECf2aY8XL3bDu9R5wravQjB+9mCdeUURERNWQ6MFpyZIlUCqVsLOzg7+/P5KSkirdVqVSYfbs2WjevDns7Ozg5+eHuLg4C1ZrnezkMgxo7Y4ePg1waHog+rVqCABwtpeLXBkREVH1ImpwWr9+PcLDwxEVFYXk5GT4+fkhKCgI165d07v99OnT8c0332Dx4sU4efIk3njjDTz99NM4cuSI3u3JOG08ncQugYiIqFoSNTgtXLgQ48ePR2hoKNq2bYulS5fCwcEBK1as0Lv9Dz/8gKlTpyI4OBg+Pj6YMGECgoOD8emnn1q4cut2p7QcALB8Tzr6LdiJizeKRK6IiIioehDt5vDS0lIcPnwYkZGRmjGpVIrAwEDs379f7z4lJSWws9Oe3dre3h579uyp9PeUlJSgpKREs5yfnw+g4rKfSqV6lLeg191jmuPYlnI1715QyrhehHd+TsGaVx8TsaKHs4a+10Tsu3jYe3Gw7+Iwd9+rclyJINJTX69cuQIvLy/s27cPAQEBmvEpU6YgMTERBw8e1Nln1KhROHr0KDZt2oTmzZsjISEBw4YNQ3l5uVY4ut/MmTMxa9YsnfG1a9fCwcHBdG/IiuSVAFHJ2pl6oJcaJ29K0MNNjT6enOOJiIisR1FREUaNGoVbt27ByenBt6vUqOkIFi1ahPHjx6N169aQSCRo3rw5QkNDK720BwCRkZEIDw/XLOfn58Pb2xuDBg16aHOMoVKpEB8fj4EDB0Iur7k3V784XMD7v53Ab0euAADiL1dc1f01Q4aGTZrhyMU8hAe20EyyKTZr6XtNw76Lh70XB/suDnP3/e7VKEOIFpxcXV0hk8mQnZ2tNZ6dnQ0PDw+9+zRs2BCbNm1CcXExrl+/jkaNGiEiIgI+Pj6V/h6FQgGFQqEzLpfLzfqhN/fxLeHTEZ00wel+S/9KBwC8v/E41v8vAG6OCkgkEkuXp5c19L0mYt/Fw96Lg30Xh7n6XpVjinZzuK2tLbp27YqEhATNmFqtRkJCgtalO33s7Ozg5eWFsrIy/Prrrxg2bJi5y62VpFIJzs0dghFdG+P1PrrhNON6EfznJeCLhHMiVEdERGR5on6rLjw8HMuWLcPq1auRmpqKCRMmoLCwEKGhoQCAsWPHat08fvDgQWzcuBFpaWnYvXs3Bg8eDLVajSlTpoj1FqyejUyKBSP8MDW4DRY81xESCeDjWkdrm8+2n8HdW+WOXszDmOUHkZx5U4xyiYiIzErUe5xGjhyJnJwczJgxA1lZWejUqRPi4uLg7u4OAMjMzIRUei/bFRcXY/r06UhLS0PdunURHByMH374AS4uLiK9g9plRDdvDOngiboKGwz4ZBfScgs162ZvPomVezM0y7vP5iJ8YEu89UQLzVixqhxymRQyqfZlvWJVOXafzUW3pvVQr46t2d8HERGRsUS/OTwsLAxhYWF61+3atUtruW/fvjh58qQFqqLK1FVUfGQS3umLnNsl6D634lLr/aHproXxZ/DWEy2w52wuXlqu/S3JozMGwdlBjvM5tzFi6X7cKCwFAEwLboPXejerNvdMERER3U/04EQ1k0QigZujnc742ICm2HoiC9n5FdNDKCNi9O7vN3ub3vG5samYG5uKg1OfgLuT7vGJiIjExOBEj2RvxAB8ueMsOjZ2wchu3pBKJXi9jw8e/2inwcfo4VMfB9JuaI35z0tAlyYuWPRCZ3jX53xbRERUPTA40SPxcrHH/Gc66ozd74Mn2yK0pxJSqQTFqnK0/uDeg5nDB7bExP6+UJWr8eWOc/hy571v6CVn5uH7/RmYFtLWvG+CiIjIQAxOZHISiQQHIp/AtYJitHBzhL2tTLPOTi7DqTmDkZ1fjCb1HTT3MsmkMrwb1ArDO3shcGGiZvvV+y8wOBERUbUh6nQEZL08nO3QsbGLVmi6y04uQ9MGdfTeAO7rVhcZ0SHo36ohAKC0TA1lRAxW7Ek3e81EREQPw+BE1dIo/6Zay7M3n0RpmVqkaoiIiCowOFG19ERrN3j851t1H8WdEqkaIiKiCgxOVC1JpRLsixiA47OCNGMr9vJyHRERiYvBiaotqVSCugobBLapmEleEAC1WhC5KiIiqs0YnKja6/vvjeIA4DM1Fpfz7uhsU64WcOyGBH+dzdU8N4+IiMjUOB0BVXujuzfBB5uOa5Z7Re8AAPzfAF/UUdggesvde59k+O50MgBgwxsB6Kasb+lSiYjIyvGME1V7UqkEq0If0xlfvOPcfaFJ23NL9+OfS3lmroyIiGobBieqEfq1ctO6Ufy/OjZ2wv9al2uNbUy+jJKy8kr2ICIiqjpeqqMao67CBjvf7Qc7uRT2chk2HbmMfq3c0NBRAVupgNjYWKTODESbmdsBAKv2ZWDVvgykzw/WO9kmERFRVfGME9UozVzrwNPZHi4Otni5VzMoXeugjuJe/reRSdG3ZUOtfYYs2m3pMomIyEoxOJHVWRX6GJa+1FWzfCqrgN+0IyIik2BwIqsjkUgwuL0HIoe01ow1i4yFT2QMruUXi1gZERHVdAxOZLX+17e51rJaALrPS0DY2mSegSIiIqMwOJFVWza2m87Y5n+uollkLGchJyKiKmNwIqs2sK07MqJDcGJWEILauWutW7Y7TaSqiIiopmJwolqhjsIG34zphp//F6AZm7/lFJQRMfhudxov3RERkUEYnKhW6d6sPhrXs9ca+zAmFc0iY6GMiEF+sUqkyoiIqCZgcKJaZ8/7A7DohU561y3cdgbX8otxJe+O5iyUqlyNb/86j6jfjyOb38ojIqrVOHM41UrDOnlhWCcvHL5wE89+vU8zfne28bt6+TbA3nPXNcur91/AtOA2GN/Hx5LlEhFRNcEzTlSrdW1aDxnRIXg7sIXe9feHprvmxqaauywiIqqmGJyIADzbpTFG+TfBxP7N8UwXL611vVu4YveU/lpj7/x81JLlERFRNcFLdUQAvOs7YN7THTTL7w9ujQNp1zG4vQcUNjIAwOkPB6PV9DgAwK/Jl2BrI8H8ZzqKUi8REYmDZ5yI9HB3ssOwTl6a0AQAChsZPnr2Xrj6Keki4k9mAwCnMyAiqiV4xomoCkY+1gRlagHTfjsOABj//SGt9SO6NsbHz3WERCIRozwiIjIzBieiKhrt31QTnP7rl8OX8MvhS5rlwDZuWPxiF9jbyvRuT0RENQuDE5ER9rzfH49/tPOh221PvYY2M+LwbJfG+DX5XqBq3rAOpBIJGrnYY/Ur3c1ZKhERmRCDE5ERGtdzQEZ0iGZZrRZQXFaOZ77ah1NZBTrb3x+aAOB8TiEA4Oy127icdwdeLvY6+xARUfXD4ERkAlKpBA62Noh7u49mLPN6EfosePhZqV7ROxDaS4mooe3MWSIREZkAgxORmTRpUHFWKvd2CWykErg42GqtV0bEaF6v3JuBA2k3sOC5jkjPLUQbT0f4ujlaumQiInoIBiciM3Otq9A7njYvGL0/3onLeXcAAKlX8/Hk4j2a9VODWyPjehHeDmyBcrUAT+d7l/PScwuRe7sETnZy3FGVo5O3i1nfAxERVWBwIhKJVCrBbxN7YviXe3Hllu7Dg+fFngIArD2Y+dBjzX+mAx5T1uNZKiIiM2NwIhKRm6Md9kU+AQDYdfoaDmXcxJc7z1X5OJEbj2ktp80LhlTKuaSIiEyNwYmomujXyg39WrnhpR5NcTmvCG09nbE08TykEgk+235Gs12T+g74cHh7ZN0qxpRf/9F7LJ+psXBU2ODYrCBLlU9EVCswOBFVMx7OdvBwtgMATB7YEgAwKbCF3m1HdGuMp7/ah4aOCs3jX+4qKCmDMiIGqbMHcwJOIiITYXAiqsEkEgk2TeylWb6cdwe9ondobdNmRpzWcmAbd7zSS4lTWQVo18gJ/j4NLFIrEZE1YHAisiJeLvbIiA5B4pkcjFuRpHeb7anZ2J6qfXbKp2Ed3C4uw7WCEjjYyrD17T7wru9giZKJiGoUqdgFEJHp9W3ZEFFD2xq8fVpOIa4VlAAAikrL0fvjnToPMCYiIp5xIrJaob2aIbRXM62xsnI1bhSVoqC4DCv3puPHA5VPdRB/MhvKiBh+Q4+I6D4MTkS1iI1MCjdHO7g5Ah8O74A5w9pDIrkXilTlarSYtkVrH5+psTg5OwgOtvzjgohI9Et1S5YsgVKphJ2dHfz9/ZGUpP++jLs+//xztGrVCvb29vD29sbkyZNRXKw7eSARPdz9oQkA5DIpMqJDkDT1Ca3xtjO2ot+Cnci6VYxLN4ssWSIRUbUianBav349wsPDERUVheTkZPj5+SEoKAjXrl3Tu/3atWsRERGBqKgopKamYvny5Vi/fj2mTp1q4cqJrJubkx3OzR2iNZZxvQg95ifg8Y92Ivd2iUiVERGJS9TgtHDhQowfPx6hoaFo27Ytli5dCgcHB6xYsULv9vv27UOvXr0watQoKJVKDBo0CC+++OJDz1IRUdXZ/Hv26dXHm+ms6/bhduQXqyrdVxAEpOXcxpqDF9Bx5lYoI2KgjIjBjN+PY9pvx3Aw7bo5SyciMhvRblooLS3F4cOHERkZqRmTSqUIDAzE/v379e7Ts2dP/Pjjj0hKSkL37t2RlpaG2NhYjBkzxlJlE9U6HzzZFm/2a44Ve9OxZOd5zXjHmdv+fWUDr4634GivwMH06ziYfgNJ6TeQU6B7Vur7/RcAAGv+ff7esrHdMLCtu9nfAxGRqYgWnHJzc1FeXg53d+0/NN3d3XHq1Cm9+4waNQq5ubl4/PHHIQgCysrK8MYbbzzwUl1JSQlKSu79AZ6fnw8AUKlUUKkq/xezse4e0xzHpsqx7+blpJDi7QHN8b/Hleg4J0Fn/XPfHNQZs7WRorRMDQ8nBbLy9V/aG//9ISx50Q+DGJ6qjJ95cbDv4jB336ty3Br1NZldu3Zh3rx5+Oqrr+Dv749z585h0qRJmDNnDj744AO9+8yfPx+zZs3SGd+2bRscHMw3wV98fLzZjk2VY9/N71N/4J2Dun90SCUCWjgJaP7vT9O6gFwKAGVQC0CZGpBJgBI1EPn3vf0n/nQUr7Qsh18DwXJvworwMy8O9l0c5up7UZHhX3qRCIIgyp9WpaWlcHBwwIYNGzB8+HDN+Lhx45CXl4fff/9dZ5/evXujR48eWLBggWbsxx9/xOuvv47bt29DKtW9ZUvfGSdvb2/k5ubCycnJtG8KFak1Pj4eAwcOhFwuN/nxST/2XRwqlQoxcfFo3bUnmrs7QS4z/LbJPp/8hau37n0jdt7wthjRtbE5yrRK/MyLg30Xh7n7np+fD1dXV9y6deuh2UC0M062trbo2rUrEhISNMFJrVYjISEBYWFhevcpKirSCUcyWcXDSyvLfwqFAgqFQmdcLpeb9UNv7uOTfuy75dnKgNaNXKrc9z3vD0DzqbGa5ambTmLqppNY93oP9ODz8wzGz7w42HdxmKvvVTmmqN+qCw8Px7Jly7B69WqkpqZiwoQJKCwsRGhoKABg7NixWjePDx06FF9//TXWrVuH9PR0xMfH44MPPsDQoUM1AYqIagaZVIKM6BB08nbRGn/h2wNQRsTg2KVb4hRGRPQAot7jNHLkSOTk5GDGjBnIyspCp06dEBcXp7lhPDMzU+sM0/Tp0yGRSDB9+nRcvnwZDRs2xNChQzF37lyx3gIRPaKfxvdAmxlxOuNDv9wDAMiIDrF0SURElRL95vCwsLBKL83t2rVLa9nGxgZRUVGIioqyQGVEZAn2tjJNOIo7fhVv/Jistb5YVQ47Oc8oE1H1IPojV4iI7hrc3hMZ0SH4e1qgZqz1B3E4fOGmiFUREd3D4ERE1U5DR+0vdDz79T6RKiEi0sbgRETV0u4p/bWWlRExUJWrRaqGiKgCgxMRVUve9R10bgxvMW2LSNUQEVUw6ubw8vJyrFq1CgkJCbh27RrUau1/Be7YscMkxRERfT26CyasuXfDeOrVfLTxNP3ktUREhjDqjNOkSZMwadIklJeXo3379vDz89P6ISIylSEdPHFs5iDN8qhlB0SshohqO6POOK1btw4///wzgoODTV0PEZEOR7t7s/reLFKhx7wE/PpmT+QVlaK1hxNkUomI1RFRbWLUGSdbW1v4+vqauhYiokrNeLKt5nVWfjF6Re9AyBd78Nrqv0WsiohqG6OC0zvvvINFixZV+nw4IiJTC+2lRNMGDjrjO0/nQBkRI0JFRFQbGXWpbs+ePdi5cye2bNmCdu3a6Twcb+PGjSYpjojoLolEgsT3KqYoSM8txI5T1zBn80nNet40TkSWYFRwcnFxwdNPP23qWoiIDNLMtQ5efbwZ/Bo747ml+wEAQxbtxp9hj6NDY2eRqyMia2ZUcFq5cqWp6yAiqrJuyvpay0O/3INd7/ZD0wYOkEh4wzgRmd4jPeQ3JycHp0+fBgC0atUKDRs2NElRRESGOjt3iNbEmP0+2aV5PdSvERa/2FmEqojIWhl1c3hhYSFeeeUVeHp6ok+fPujTpw8aNWqEV199FUVFRaaukYioUnKZFGnz9E+N8ufRK4jceIxfZCEikzEqOIWHhyMxMRF//vkn8vLykJeXh99//x2JiYl45513TF0jEdEDSaUSZESH4MSsIKwKfUxr3U9JmZj158lK9iQiqhqjLtX9+uuv2LBhA/r166cZCw4Ohr29PZ5//nl8/fXXpqqPiMhgdRQ26NfKDRnRIbh1RwW/WdsAAKv2ZeBGYSm+4GU7InpERp1xKioqgru7u864m5sbL9URUbXgbC9H5yYumuU/jl7hfE9E9MiMCk4BAQGIiopCcXGxZuzOnTuYNWsWAgICTFYcEdGjWPd6D/g0rKM1xvBERI/CqEt1ixYtQlBQEBo3bqx5qO/Ro0dhZ2eHrVu3mrRAIiJjKWxkSAjvi/3nr2PUdwc148qIGEwObIlJgS1ErI6IaiKjglP79u1x9uxZrFmzBqdOnQIAvPjiixg9ejTs7e1NWiAR0aOQSCTo6euKlaGPIXTlvefafbb9DD7bfgYKGyle7qWEX2MXDG7nASkfGExED2D0PE4ODg4YP368KWshIjKb/q3ccDRqEKZsOIqtJ7I14yVlanyTmKZZjn2rN9o24qNbiEg/g4PTH3/8gSFDhkAul+OPP/544LZPPfXUIxdGRGRqzvZyfDOm2wPvcwr+YjcyokMsWBUR1SQGB6fhw4cjKysLbm5uGD58eKXbSSQSlJeXm6I2IiKz+G8wKi1To+X0e7OP3w1WZ+cOgVxm1HdoiMhKGfwnglqthpubm+Z1ZT8MTURU09jaSLHn/f464y2mbYEyIgYbDl/i7ONEBMDI6Qj0ycvLM9WhiIgsrnE9Byx4riPa6bm/6d1fjqJZZCxul5QxQBHVckbdHP7RRx9BqVRi5MiRAIARI0bg119/haenJ2JjYzVTFBAR1SQjunljRDdvAMChjBt4bul+rfXto3SnWzk5OwgOto/0vHQiqkGMOuO0dOlSeHtX/OESHx+P7du3Iy4uDkOGDMF7771n0gKJiMTQTVkfGdEhOD4r6IHbtZ2xtWJeqPUp2H4yG2OWH8TlvDsWqpKILM2ofyZlZWVpgtPmzZvx/PPPY9CgQVAqlfD39zdpgUREYqqrsEFGdAhyCkqQnV+Mz7efgZeLPVbvv6C13W9HLuO3I5cBAL2idwAAvhzVGU92bGTxmonIfIwKTvXq1cPFixfh7e2NuLg4fPjhhwAAQRB4czgRWaWGjgo0dFTgu3GPAQBmDWuPcrWAP49ewbq/M3Eg7YbOPmFrj6BcLSConQfs5DJLl0xEZmBUcHrmmWcwatQotGjRAtevX8eQIUMAAEeOHIGvr69JCyQiqq5kUgmGd/bC8M5empvGL928g7ErkpCeWwgAmLQuRbP9sZmD4GgnF6NUIjIRo+5x+uyzzxAWFoa2bdsiPj4edevWBQBcvXoVb775pkkLJCKqCSQSCSQSCbzrO2Dnu/30btNh5jao1fxWHlFNZtQZJ7lcjnfffVdnfPLkyY9cEBGRNciIDsGtOyp8uu00vr/vfiifqbFoXM8ePg3rYmpwa7T24ONdiGoSPnKFiMhMnO3lmD2sPaYMbq01lcGlm3dw6eYd/HUmRzM2oV9zvD+4tRhlElEV8JErRERmdvebeQu3ncYXO87p3ebrXecZnIhqAIODk1qt1vuaiIgMEz6oFcIHtQIAXMsvxju/HEVZuYD9adcBVDwj7/tXuqNPy4ZilklED8CnVxIRicDNyQ4/vOqPteO1574buyIJ205kiVQVET2MUTeHv/XWW/D19cVbb72lNf7ll1/i3Llz+Pzzz01RGxGR1ZNIJDg/LxgB8xNwraAEAPD6D4fx+chO2PzPVTR0tEXq1QJ08HKGAAFD2nuil6+ryFUT1V5GnXH69ddf0atXL53xnj17YsOGDY9cFBFRbSKTSpA0LRAhHTw1Y2+vT8H21Gz8lHQRKRfz8MOBC/jxQCZGf3cQw5fsFbFaotrNqOB0/fp1ODs764w7OTkhNzf3kYsiIqqNlozuYtB2KRfz0OKDbZiTLMPvR6+iWMUv5BBZilGX6nx9fREXF4ewsDCt8S1btsDHx8ckhRER1UYnZgUhKf0GHm/hCrms4t+2giBAIpEg83oR+izYqdk2t0SCdzccw7sbjgEAVrzcDQNau4tSN1FtYVRwCg8PR1hYGHJycjBgwAAAQEJCAj799FPe30RE9AjqKGzQv7Wb1phEIgEANGnggFNzBmPNwUzM2XxSZ99XVh2CX2Nn9G/thtH+TdHQUWGRmolqE6OC0yuvvIKSkhLMnTsXc+bMAQAolUp8/fXXGDt2rEkLJCKie+zkMrz6eDOM9W+MmJhY1G3xGN7feALXC0sBAEcv3cLRS7fw+fazAIAfXu2Ox31dNeGLiB6N0dMRTJgwAZcuXUJ2djby8/ORlpbG0EREZEESCdC3ZUMc/mAg3g5sAVuZ7h/pY5YnoVlkLPKKSkWokMj6GB2cysrKsH37dmzcuFHzVPArV67g9u3bJiuOiIgM83ZgS5yZOwQZ0SGIeetxnfWdZsejWWQMSsp4IznRozAqOF24cAEdOnTAsGHDMHHiROTkVDxv6aOPPtL78F8iIrKcdo2ckREdgmMzB2mNCwLQanoc5semilQZUc1nVHCaNGkSunXrhps3b8Le3l4z/vTTTyMhIaHKx1uyZAmUSiXs7Ozg7++PpKSkSrft168fJBKJzk9ISIgxb4WIyGo52smRER2ChHf6ao1/81caxiw/KFJVRDWbUcFp9+7dmD59OmxtbbXGlUolLl++XKVjrV+/HuHh4YiKikJycjL8/PwQFBSEa9eu6d1+48aNuHr1qubn+PHjkMlkGDFihDFvhYjI6jVvWBcZ0SHY/H/3LuHtPpuLbh9ux/HLtzS3WxDRwxkVnNRqNcrLda+TX7p0CY6OjlU61sKFCzF+/HiEhoaibdu2WLp0KRwcHLBixQq929evXx8eHh6an/j4eDg4ODA4ERE9RHsvZ2x8s6dmOfd2CZ5cvAfNImMx+rsDIlZGVHMYNR3BoEGD8Pnnn+Pbb78FUDHHyO3btxEVFYXg4GCDj1NaWorDhw8jMjJSMyaVShEYGIj9+/cbdIzly5fjhRdeQJ06dfSuLykpQUlJiWY5Pz8fAKBSqaBSqQyu1VB3j2mOY1Pl2HdxsO/iMbb3HTzrYv347hi5TPuWiL3nruP35IsI7uBhshqtET/z4jB336tyXIlgxDnaixcvYvDgwRAEAWfPnkW3bt1w9uxZuLq64q+//oKbm9vDD4KKb+F5eXlh3759CAgI0IxPmTIFiYmJOHjwwdfgk5KS4O/vj4MHD6J79+56t5k5cyZmzZqlM7527Vo4ODgYVCcRkbXKLQbmHLn3b+iWzmpMbKsWsSIiyysqKsKoUaNw69YtODk5PXBbo844eXt74+jRo1i/fj2OHj2K27dv49VXX8Xo0aO1bhY3t+XLl6NDhw6VhiYAiIyMRHh4uGY5Pz8f3t7eGDRo0EObYwyVSoX4+HgMHDgQcrnc5Mcn/dh3cbDv4jFl773b5eD1H48AAM7ckmLS/oq7OJKn9YejHf+73o+feXGYu+93r0YZosrBSaVSoXXr1ti8eTNGjx6N0aNHV/UQGq6urpDJZMjOztYaz87OhofHg08XFxYWYt26dZg9e/YDt1MoFFAodB87IJfLzfqhN/fxST/2XRzsu3hM0ftB7Rsh8T1n9F2wS2t8xp+n8OUowx48XNvwMy8Oc/W9Kses8s3hcrkcxcXFVd1NL1tbW3Tt2lVrCgO1Wo2EhAStS3f6/PLLLygpKcFLL71kklqIiGqzpg3q4MSsILw1wFcztvmfq1BGxGh+Lt4oErFCourBqG/VTZw4ER999BHKysoeuYDw8HAsW7YMq1evRmpqKiZMmIDCwkKEhoYCAMaOHat18/hdy5cvx/Dhw9GgQYNHroGIiCoeMBw+qBX+nhaod33vj3fi+W8M++IOkbUy6h6nv//+GwkJCdi2bRs6dOig8422jRs3GnyskSNHIicnBzNmzEBWVhY6deqEuLg4uLu7AwAyMzMhlWrnu9OnT2PPnj3Ytm2bMeUTEdEDNHRU4ND0QPx0MBMN6iow9bdjmnVJ6TegjIjBh8PbY+Rj3pBKJJBJ+QBhqj2MCk4uLi549tlnTVZEWFgYwsLC9K7btWuXzlirVq04YRsRkRm51lXg/55oAQAY5d8Ev6dcxqR1KZr10zcdx/RNxzXLn47ww7NdG1u6TCKLq1JwUqvVWLBgAc6cOYPS0lIMGDAAM2fOtOg36YiIyPKGdfJCgE8DdJ+n/7Fa7/xyFAvjz2BvxAALV0ZkWVW6x2nu3LmYOnUq6tatCy8vL3zxxReYOHGiuWojIqJqxM3JDhnRIUj+YCB+eSMAu6f0Rz2He99Gupx3B8qIGHy/P0O8IonMrErB6fvvv8dXX32FrVu3YtOmTfjzzz+xZs0aqNWcLI2IqLaoX8cWjynrw7u+A47MGITYt3prrZ/x+wm8supv3CnVfTQXUU1XpeCUmZmp9UiVwMBASCQSXLlyxeSFERFRzdC2kRNOzRmMT0b4acZ2nLqGNjPi0GJaLGL+uSpidUSmVaXgVFZWBjs7O60xuVzOZ/YQEdVydnIZnuvaGI8p62mNq8oFTFybjAGf7hKnMCITq9LN4YIg4OWXX9aaibu4uBhvvPGG1pQEVZmOgIiIrMcvb/QEAIxbkYTEMzma8bScQrFKIjKpKgWncePG6Yxx5m4iIvqv1a9UPEP0s/gzWJRwFgDw44ELeKlHUzHLInpkVQpOK1euNFcdRERkhcYENNUEp//O/fRfm//vcbT3crZUaURGMWoCTCIiIkO41lVgtH8TrDmY+dBtn1y8R/Pax7UOvh3bFb5ujuYsj6jKjHpWHRERkaHmPt0BafOC0adlQ4QPbIk+LRsiuIMHgIqpDfRJyy1E4MK/cP12iSVLJXoonnEiIiKzk0ol+P7f+570uVlYikUJZ7FqX4bWeNcPtwMAjs0cBEc7uZ49iSyLZ5yIiEh09erYYuZT7ZARHYKM6BCd9R1mbsM/l/IsXxjRfzA4ERFRtZMRHYJ/Zg7SGnvqy73oFb2DD3knUTE4ERFRteRkJ0dGdAi86997kPzlvDtoFhmLhNRs5BTw/ieyPN7jRERE1druKQNwNrsAAz/7SzP26upDmtfDOjXCSz2a4jFlfTHKo1qGZ5yIiKjaa+HuqPfeJwD4PeUKRizdD2VEjIWrotqIwYmIiGqMjOgQpM0LRuJ7/fSuH7XsgGULolqHwYmIiGoUqVSCpg3qaL6Blzp7sGbdvvPXoYyIQVm5WsQKyZoxOBERUY1mbyvDd2O7aY0t2HZapGrI2jE4ERFRjRfY1l3rzNM3iWlYsvOciBWRtWJwIiIiq2BvK8PLPZWa5QVbedaJTI/BiYiIrMbMp9qhX6uGmmVlRAxu3VGJWBFZGwYnIiKyKqtCtZ+J5zdrG9RqzjZOpsHgREREVue/cz75TI1FXlGpSNWQNWFwIiIiq5Q+P1hrudPseE5TQI+MwYmIiKySRCLB7xN7aY35TtsCZUQMbhTy7BMZh8GJiIislp+3i95HtXSZEw9lRAxyb/NBwVQ1DE5ERGT1Ts0ZDKlEd7zbh9uhjIjB6n0ZKC3jZTx6OAYnIiKyenZyGdLmVzyi5UDkEzrro/44gZbTt+BOabkI1VFNwuBERES1ioezHTKiQ/BeUCuddW1mxEEZEYN/LuVZvjCqEWzELoCIiEgME/v7YmJ/XwAVE2Xe76kv9wIAzs8LhkzfNT6qtXjGiYiIar2M6BBsfLOnznjzqbEQBE6eSfcwOBEREQHo0qQeMqJD8P7g1lrjzSJjRaqIqiMGJyIiovtM6NdcZwqDfgt2oqSMN44TgxMREZFee97vr3mdcb0IrabHQcWZx2s9BiciIiI9GtdzwBOt3bTG2s7cLlI1VF0wOBEREVVi+cuP6Vy2m7SfX0ivzRiciIiIHmLteH+t5RYfbMPLK5NwMO26SBWRWBiciIiIHqJnc1f8PS1Qa2zX6RyM/PYAlBExKFbxxvHagsGJiIjIAA0dFdj9Xh+961p/EGfhakgsDE5EREQG8nCyw6KAMpydMwjp84O11ikjYnDu2m2o1Zww05oxOBERERlBIpHo3DgeuDARPlNjkXIxT5yiyOwYnIiIiB5B0tQndMaGL9mLwxduilANmRuDExER0SNwc7JD+vxgHJ4eCNe6tprxZ7/eh2FL9qKMk2ZaFdGD05IlS6BUKmFnZwd/f38kJSU9cPu8vDxMnDgRnp6eUCgUaNmyJWJj+RwhIiISj0QiQYO6ChyaPhANHRWa8aMX8+A7bQuUETE4fvmWiBWSqYganNavX4/w8HBERUUhOTkZfn5+CAoKwrVr1/RuX1paioEDByIjIwMbNmzA6dOnsWzZMnh5eVm4ciIiIv32RwzAyz2VOuNPLt4DZUQMPo47ZfmiyGREDU4LFy7E+PHjERoairZt22Lp0qVwcHDAihUr9G6/YsUK3LhxA5s2bUKvXr2gVCrRt29f+Pn5WbhyIiIi/WxkUsx8qh0yokMwpL2Hzvqvdp2HMiIGyogYrNybLkKF9ChEC06lpaU4fPgwAgPvTSgmlUoRGBiI/fv3693njz/+QEBAACZOnAh3d3e0b98e8+bNQ3k5Jx4jIqLq5+uXuiIjOgSn5gxGk/oOOutn/XkSyogYXLpZJEJ1ZAzRHriTm5uL8vJyuLu7a427u7vj1Cn9pzHT0tKwY8cOjB49GrGxsTh37hzefPNNqFQqREVF6d2npKQEJSUlmuX8/HwAgEqlgkqlMtG7uefuMc1xbKoc+y4O9l087L04jO27DEDC5Mdx9VYxBn+xF0Wl2v/gf/yjnfi//j74v/7NIZFITFWu1TD3570qx5UIgiDKTF1XrlyBl5cX9u3bh4CAAM34lClTkJiYiIMHD+rs07JlSxQXFyM9PR0ymQxAxeW+BQsW4OrVq3p/z8yZMzFr1iyd8bVr18LBQTf9ExERWcr0QzIUqLSD0v+1LYOvs0gF1VJFRUUYNWoUbt26BScnpwduK9oZJ1dXV8hkMmRnZ2uNZ2dnw8ND95owAHh6ekIul2tCEwC0adMGWVlZKC0tha2trc4+kZGRCA8P1yzn5+fD29sbgwYNemhzjKFSqRAfH4+BAwdCLpeb/PikH/suDvZdPOy9OEzd9+Bg4IcDmZgdc+9Ky+KTFX81n5k9kGef/mXuz/vdq1GGEC042draomvXrkhISMDw4cMBAGq1GgkJCQgLC9O7T69evbB27Vqo1WpIpRW3Z505cwaenp56QxMAKBQKKBQKnXG5XG7WP2zMfXzSj30XB/suHvZeHKbs+yu9m+OV3s2hjIjRGm85Ix7PdPHCwuc7meT3WANzfd6rckxRv1UXHh6OZcuWYfXq1UhNTcWECRNQWFiI0NBQAMDYsWMRGRmp2X7ChAm4ceMGJk2ahDNnziAmJgbz5s3DxIkTxXoLREREJpERHYITs4K0xjYmX4YyIgaJZ3JEqor+S7QzTgAwcuRI5OTkYMaMGcjKykKnTp0QFxenuWE8MzNTc2YJALy9vbF161ZMnjwZHTt2hJeXFyZNmoT3339frLdARERkMnUUNkibFwyfqdoTO49bkYSezRtg7fgeIlVGd4kanAAgLCys0ktzu3bt0hkLCAjAgQMHzFwVERGROKTSiocHl5Wr4Ttti2Z83/nr6DonHs4Ocnw+shM6NnYRr8haTPTgRERERLpsZFJkRIdg5+lrCF35NwDgemEprheW4qkv92q2mxrcGq/3aS5WmbWO6M+qIyIiosr1b+WGmUPbQibV/w27ebGnoIyIweT1KZYtrJbiGSciIqJq7uVezfByr2YAgNNZBRixdB/yi8u0tvntyGX8duQyFr3QCcM68Rmu5sLgREREVIO08nDEPzPvfftu7cFMTP3tmGZ50roUTFqXgnNzh8BGxgtLpsaOEhER1WCj/Jvg0PRAnXHfaVugjIjB7rOcysCUGJyIiIhqONe6CmREh2Dr23101o1ZngRlRAxSrxo+OzZVjsGJiIjISrTycETavGCsfqW7zrohi3Yj9pj+57qS4RiciIiIrIhUKkHflg2RER2Cc3OHaK17c00ylBExEARBpOpqPgYnIiIiK3V3LqjgDh5a480iY7FybzqybhWLVFnNxeBERERk5b4a3RWpswdrjc368yR6zE/AL4cu4nRWAc9CGYjTERAREdUC9rYyHJs5CB1mbtMaf2/DP1rL347pikHttM9Q0T0MTkRERLWEo50cGdEhAIA2H8ThjqpcZ5vXfzgMAPhfXx9EDmlj0fpqAgYnIiKiWih1TsWlO0EQcOzyLa3n3wHAN4lp+CYxDYemB8K1rkKMEqsl3uNERERUi0kkEnRs7IKM6BBkRIegk7eL1vpuH26HMiIG12+XiFNgNcPgRERERBqbJvbC8VlBOuNd/w1QtR2DExEREWmpq7BBRnQI1r7mr7Outs8DxeBEREREevX0dUVGdAhWvvyY1nizyFgoI2JwJPOmSJWJh8GJiIiIHqh/azec+XCIzvjTX+2DMiIGJ6/UnufgMTgRERHRQ9naVMxCPmVwK511wV/srjWX8BiciIiIyGBv9vNFRnQIkj8YqLOuWWQs8opKRajKchiciIiIqMrq17FFRnSIzqNcOs2OR64VT13A4ERERERGs7eV4dQc7fDU7cPtGLsiySov3TE4ERER0SOxk1c8B+9+f53JQbPIWJEqMh8GJyIiInpkd5+Dt/B5P63xjcmXRKrIPBiciIiIyGSe6dIYpz+8d+ku/OejVhWeGJyIiIjIpBQ2MoT199Ush/98FKVlahErMh0GJyIiIjK5d4NaoWkDB83yi8sOiFiN6TA4ERERkVkkvtdf8/rwhZtWcdaJwYmIiIjMZv4zHTSvW07fImIlpsHgRERERGbzYvcmWsvKiBhEbzklUjWPjsGJiIiIzCptXrDW8tLE83j+m/0iVfNoGJyIiIjIrKRSic6jWZLSb6DT7G0iVWQ8BiciIiIyO3tbGTKiQ/DT+B6asbwiFXpF76hRj2ZhcCIiIiKLCWjeAP/c93iWy3l3atSjWRiciIiIyKKc7ORaZ56AipvGVeXVf7oCBiciIiKyuIDmDXD+PzeNt5hW/acrYHAiIiIiUcikEmREh2iNlaur9/1ODE5EREQkqr/um2G8+dRY3C4pE7GaB2NwIiIiIlE1ue+ZdgDQPmqrSJU8HIMTERERie6/l+yq643iDE5ERERULZycHaR5/cuhSyJWUjkGJyIiIqoWHGxtNK/nb0kVsZLKMTgRERFRtdHW0wkAUFBchtKy6ne5jsGJiIiIqo3lL3fTvD6TXSBiJfoxOBEREVG14elsr3n95OI9UFezeZ2qRXBasmQJlEol7Ozs4O/vj6SkpEq3XbVqFSQSidaPnZ2dBaslIiIiSzmQfl3sErSIHpzWr1+P8PBwREVFITk5GX5+fggKCsK1a9cq3cfJyQlXr17V/Fy4cMGCFRMREZE5pd33KJYDaTdErESX6MFp4cKFGD9+PEJDQ9G2bVssXboUDg4OWLFiRaX7SCQSeHh4aH7c3d0tWDERERGZk1QqQSPniqtJGbmFIlejzebhm5hPaWkpDh8+jMjISM2YVCpFYGAg9u/fX+l+t2/fRtOmTaFWq9GlSxfMmzcP7dq107ttSUkJSkpKNMv5+fkAAJVKBZVKZaJ3cs/dY5rj2FQ59l0c7Lt42HtxsO+W49+sHn5LuYo/jl5B9LBWAMzX96ocV9TglJubi/Lycp0zRu7u7jh16pTefVq1aoUVK1agY8eOuHXrFj755BP07NkTJ06cQOPGjXW2nz9/PmbNmqUzvm3bNjg4OOiMm0p8fLzZjk2VY9/Fwb6Lh70XB/tufsJNCQAZAOC32HjUlZuv70VFRQZvKxEEQbTb1a9cuQIvLy/s27cPAQEBmvEpU6YgMTERBw8efOgxVCoV2rRpgxdffBFz5szRWa/vjJO3tzdyc3Ph5ORkmjfyn3ri4+MxcOBAyOVykx+f9GPfxcG+i4e9Fwf7bjlqtYBWURVB6YVujRAgzzRb3/Pz8+Hq6opbt249NBuIesbJ1dUVMpkM2dnZWuPZ2dnw8PAw6BhyuRydO3fGuXPn9K5XKBRQKBR69zPnh97cxyf92HdxsO/iYe/Fwb5b1i/JVxHgb76+V+WYot4cbmtri65duyIhIUEzplarkZCQoHUG6kHKy8tx7NgxeHp6mqtMIiIiEkFrD0cAgJdL9Zl2SPRv1YWHh2PZsmVYvXo1UlNTMWHCBBQWFiI0NBQAMHbsWK2bx2fPno1t27YhLS0NycnJeOmll3DhwgW89tprYr0FIiIiMoNXejUDABSVlotcyT2iXqoDgJEjRyInJwczZsxAVlYWOnXqhLi4OM0N45mZmZBK7+W7mzdvYvz48cjKykK9evXQtWtX7Nu3D23bthXrLRAREZEZqP+9DTv3dqnIldwjenACgLCwMISFheldt2vXLq3lzz77DJ999pkFqiIiIiIxdVPW17zOuSNiIfcR/VIdERERkT7NG9bRvD6RJxGxknsYnIiIiKhakkgkCPBpAAC4UczgRERERPRAeXcqZvVOzKoekaV6VEFERESkh6Ndxe3YXg6izdethcGJiIiIqq27UxJcLuKlOiIiIqIHkvyblxxkPONERERE9EBeLvYAgKJynnEiIiIieiBn+3vPkVOrxT/rxOBERERE1Zabk0Lz+tiVfBErqcDgRERERNWWwkameX0m+7aIlVRgcCIiIqIawU4ufmwRvwIiIiKiB+jpU/HMurScQpErYXAiIiKiau7IxTwAgK2N+LFF/AqIiIiIHuC5Ll6QSQTUUdiIXQrEr4CIiIjoAWY82QbdpOkI7tFE7FJ4xomIiIjIUAxORERERAZicCIiIiIyEIMTERERkYEYnIiIiIgMxOBEREREZCAGJyIiIiIDMTgRERERGYjBiYiIiMhADE5EREREBmJwIiIiIjIQgxMRERGRgWrdQ34FQQAA5Ofnm+X4KpUKRUVFyM/Ph1wuN8vvIF3suzjYd/Gw9+Jg38Vh7r7fzQR3M8KD1LrgVFBQAADw9vYWuRIiIiKqTgoKCuDs7PzAbSSCIfHKiqjValy5cgWOjo6QSCQmP35+fj68vb1x8eJFODk5mfz4pB/7Lg72XTzsvTjYd3GYu++CIKCgoACNGjWCVPrgu5hq3RknqVSKxo0bm/33ODk58X8qEbDv4mDfxcPei4N9F4c5+/6wM0138eZwIiIiIgMxOBEREREZiMHJxBQKBaKioqBQKMQupVZh38XBvouHvRcH+y6O6tT3WndzOBEREZGxeMaJiIiIyEAMTkREREQGYnAiIiIiMhCDkxGWLFkCpVIJOzs7+Pv7Iykp6YHb//LLL2jdujXs7OzQoUMHxMbGWqhS61KVvi9btgy9e/dGvXr1UK9ePQQGBj70vxPpV9XP+13r1q2DRCLB8OHDzVugFatq7/Py8jBx4kR4enpCoVCgZcuW/PPGCFXt++eff45WrVrB3t4e3t7emDx5MoqLiy1UrXX466+/MHToUDRq1AgSiQSbNm166D67du1Cly5doFAo4Ovri1WrVpm9TgCAQFWybt06wdbWVlixYoVw4sQJYfz48YKLi4uQnZ2td/u9e/cKMplM+Pjjj4WTJ08K06dPF+RyuXDs2DELV16zVbXvo0aNEpYsWSIcOXJESE1NFV5++WXB2dlZuHTpkoUrr9mq2ve70tPTBS8vL6F3797CsGHDLFOslalq70tKSoRu3boJwcHBwp49e4T09HRh165dQkpKioUrr9mq2vc1a9YICoVCWLNmjZCeni5s3bpV8PT0FCZPnmzhymu22NhYYdq0acLGjRsFAMJvv/32wO3T0tIEBwcHITw8XDh58qSwePFiQSaTCXFxcWavlcGpirp37y5MnDhRs1xeXi40atRImD9/vt7tn3/+eSEkJERrzN/fX/jf//5n1jqtTVX7/l9lZWWCo6OjsHr1anOVaJWM6XtZWZnQs2dP4bvvvhPGjRvH4GSkqvb+66+/Fnx8fITS0lJLlWiVqtr3iRMnCgMGDNAaCw8PF3r16mXWOq2ZIcFpypQpQrt27bTGRo4cKQQFBZmxsgq8VFcFpaWlOHz4MAIDAzVjUqkUgYGB2L9/v9599u/fr7U9AAQFBVW6Pekypu//VVRUBJVKhfr165urTKtjbN9nz54NNzc3vPrqq5Yo0yoZ0/s//vgDAQEBmDhxItzd3dG+fXvMmzcP5eXlliq7xjOm7z179sThw4c1l/PS0tIQGxuL4OBgi9RcW4n5d2ute1bdo8jNzUV5eTnc3d21xt3d3XHq1Cm9+2RlZendPisry2x1Whtj+v5f77//Pho1aqTzPxpVzpi+79mzB8uXL0dKSooFKrRexvQ+LS0NO3bswOjRoxEbG4tz587hzTffhEqlQlRUlCXKrvGM6fuoUaOQm5uLxx9/HIIgoKysDG+88QamTp1qiZJrrcr+bs3Pz8edO3dgb29vtt/NM05k9aKjo7Fu3Tr89ttvsLOzE7scq1VQUIAxY8Zg2bJlcHV1FbucWketVsPNzQ3ffvstunbtipEjR2LatGlYunSp2KVZtV27dmHevHn46quvkJycjI0bNyImJgZz5swRuzQyE55xqgJXV1fIZDJkZ2drjWdnZ8PDw0PvPh4eHlXannQZ0/e7PvnkE0RHR2P79u3o2LGjOcu0OlXt+/nz55GRkYGhQ4dqxtRqNQDAxsYGp0+fRvPmzc1btJUw5jPv6ekJuVwOmUymGWvTpg2ysrJQWloKW1tbs9ZsDYzp+wcffIAxY8bgtddeAwB06NABhYWFeP311zFt2jRIpTw/YQ6V/d3q5ORk1rNNAM84VYmtrS26du2KhIQEzZharUZCQgICAgL07hMQEKC1PQDEx8dXuj3pMqbvAPDxxx9jzpw5iIuLQ7du3SxRqlWpat9bt26NY8eOISUlRfPz1FNPoX///khJSYG3t7cly6/RjPnM9+rVC+fOndOEVQA4c+YMPD09GZoMZEzfi4qKdMLR3fAq8IlmZiPq361mv/3cyqxbt05QKBTCqlWrhJMnTwqvv/664OLiImRlZQmCIAhjxowRIiIiNNvv3btXsLGxET755BMhNTVViIqK4nQERqhq36OjowVbW1thw4YNwtWrVzU/BQUFYr2FGqmqff8vfqvOeFXtfWZmpuDo6CiEhYUJp0+fFjZv3iy4ubkJH374oVhvoUaqat+joqIER0dH4aeffhLS0tKEbdu2Cc2bNxeef/55sd5CjVRQUCAcOXJEOHLkiABAWLhwoXDkyBHhwoULgiAIQkREhDBmzBjN9nenI3jvvfeE1NRUYcmSJZyOoDpbvHix0KRJE8HW1lbo3r27cODAAc26vn37CuPGjdPa/ueffxZatmwp2NraCu3atRNiYmIsXLF1qErfmzZtKgDQ+YmKirJ84TVcVT/v92NwejRV7f2+ffsEf39/QaFQCD4+PsLcuXOFsrIyC1dd81Wl7yqVSpg5c6bQvHlzwc7OTvD29hbefPNN4ebNm5YvvAbbuXOn3j+z7/Z63LhxQt++fXX26dSpk2Brayv4+PgIK1eutEitEkHguUQiIiIiQ/AeJyIiIiIDMTgRERERGYjBiYiIiMhADE5EREREBmJwIiIiIjIQgxMRERGRgRiciIiIiAzE4ERERERkIAYnIqIqkkgk2LRpEwAgIyMDEokEKSkpotZERJbB4ERENcrLL78MiUQCiUQCuVyOZs2aYcqUKSguLha7NCKqBWzELoCIqKoGDx6MlStXQqVS4fDhwxg3bhwkEgk++ugjsUsjIivHM05EVOMoFAp4eHjA29sbw4cPR2BgIOLj4wEAarUa8+fPR7NmzWBvbw8/Pz9s2LBBa/8TJ07gySefhJOTExwdHdG7d2+cP38eAPD3339j4MCBcHV1hbOzM/r27Yvk5GSLv0ciqp4YnIioRjt+/Dj27dsHW1tbAMD8+fPx/fffY+nSpThx4gQmT56Ml156CYmJiQCAy5cvo0+fPlAoFNixYwcOHz6MV155BWVlZQCAgoICjBs3Dnv27MGBAwfQokULBAcHo6CgQLT3SETVBy/VEVGNs3nzZtStWxdlZWUoKSmBVCrFl19+iZKSEsybNw/bt29HQEAAAMDHxwd79uzBN998g759+2LJkiVwdnbGunXrIJfLAQAtW7bUHHvAgAFav+vbb7+Fi4sLEhMT8eSTT1ruTRJRtcTgREQ1Tv/+/fH111+jsLAQn332GWxsbPDss8/ixIkTKCoqwsCBA7W2Ly0tRefOnQEAKSkp6N27tyY0/Vd2djamT5+OXbt24dq1aygvL0dRUREyMzPN/r6IqPpjcCKiGqdOnTrw9fUFAKxYsQJ+fn5Yvnw52rdvDwCIiYmBl5eX1j4KhQIAYG9v/8Bjjxs3DtevX8eiRYvQtGlTKBQKBAQEoLS01AzvhIhqGgYnIqrRpFIppk6divDwcJw5cwYKhQKZmZno27ev3u07duyI1atXQ6VS6T3rtHfvXnz11VcIDg4GAFy8eBG5ublmfQ9EVHPw5nAiqvFGjBgBmUyGb775Bu+++y4mT56M1atX4/z580hOTsbixYuxevVqAEBYWBjy8/Pxwgsv4NChQzh79ix++OEHnD59GgDQokUL/PDDD0hNTcXBgwcxevToh56lIqLag2eciKjGs7GxQVhYGD7++GOkp6ejYcOGmD9/PtLS0uDi4oIuXbpg6tSpAIAGDRpgx44deO+999C3b1/IZDJ06tQJvXr1AgAsX74cr7/+Orp06QJvb2/MmzcP7777rphvj4iqEYkgCILYRRARERHVBLxUR0RERGQgBiciIiIiAzE4ERERERmIwYmIiIjIQAxORERERAZicCIiIiIyEIMTERERkYEYnIiIiIgMxOBEREREZCAGJyIiIiIDMTgRERERGYjBiYiIiMhA/w/kF4bR4i91rQAAAABJRU5ErkJggg==\n"},"metadata":{}}]},{"cell_type":"code","source":["plt.figure(figsize=(8,6)) # normal notebook display\n","\n","plt.plot(history_full.history['accuracy'], label='Train')\n","plt.plot(history_full.history['val_accuracy'], label='Validation')\n","\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Accuracy\")\n","\n","plt.legend()\n","\n","plt.grid(True)\n","\n","plt.tight_layout()\n","\n","plt.savefig(\n"," base_path + \"/figures/accuracy_curve.png\",\n"," dpi=300,\n"," bbox_inches=\"tight\"\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":607},"id":"ABfnt75uN6eH","executionInfo":{"status":"ok","timestamp":1774373585732,"user_tz":-330,"elapsed":1357,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"d3f13f29-9212-4ad9-dc25-5ae05a554c95"},"execution_count":30,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["plt.figure(figsize=(8,6)) # normal notebook display\n","\n","plt.plot(history_full.history['loss'], label='Train')\n","plt.plot(history_full.history['val_loss'], label='Validation')\n","\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Loss\")\n","\n","plt.legend()\n","\n","plt.grid(True)\n","\n","plt.tight_layout()\n","\n","plt.savefig(\n"," base_path + \"/figures/loss_curve.png\",\n"," dpi=300,\n"," bbox_inches=\"tight\"\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":607},"id":"FSdk8kCqN9NG","executionInfo":{"status":"ok","timestamp":1774373591192,"user_tz":-330,"elapsed":1100,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"9e01ea23-f52e-44a6-9cad-0baaa8b4f2a6"},"execution_count":31,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["model.save(base_path + \"/models/fasttext_bilstm_model.h5\")\n","\n","print(\"Model saved successfully.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oZD8Xx-1N_fd","executionInfo":{"status":"ok","timestamp":1774373600079,"user_tz":-330,"elapsed":3467,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"262f26c6-96f3-4203-a116-aa30298eff67"},"execution_count":32,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["Model saved successfully.\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"zTudTTVyRbJh"},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/phase6/notebooks/glove_bilstm_regular.ipynb b/phase6/notebooks/glove_bilstm_regular.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..170a165230bf5d4dcfec3c2f7268aae7f58ef43e --- /dev/null +++ b/phase6/notebooks/glove_bilstm_regular.ipynb @@ -0,0 +1 @@ +{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyM6iEvATDF/ylfnKnOm9tnM"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"id":"qDlseJAeB8AA","executionInfo":{"status":"ok","timestamp":1774368149083,"user_tz":-330,"elapsed":6965,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"outputs":[],"source":["!pip install -q scikit-learn seaborn"]},{"cell_type":"code","source":["import os\n","import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import (\n"," accuracy_score,\n"," balanced_accuracy_score,\n"," precision_score,\n"," recall_score,\n"," f1_score,\n"," roc_auc_score,\n"," roc_curve,\n"," confusion_matrix,\n"," precision_recall_curve\n",")\n","\n","import tensorflow as tf\n","from tensorflow.keras.preprocessing.text import Tokenizer\n","from tensorflow.keras.preprocessing.sequence import pad_sequences\n","from tensorflow.keras.layers import Embedding, Bidirectional, LSTM, Dense, Dropout\n","from tensorflow.keras.models import Sequential\n","from tensorflow.keras.optimizers import Adam"],"metadata":{"id":"3ske8x30B_Vx","executionInfo":{"status":"ok","timestamp":1774368170471,"user_tz":-330,"elapsed":17855,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Q4XF2UZHCHQu","executionInfo":{"status":"ok","timestamp":1774368199902,"user_tz":-330,"elapsed":27207,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"cf3bc270-360d-45dc-a1f0-777405e36441"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["BASE_DIR = \"/content/drive/MyDrive/nprism/nprism_reg_tr/glove_bilstm_nprism\"\n","\n","FIG_DIR = os.path.join(BASE_DIR,\"figures\")\n","MODEL_DIR = os.path.join(BASE_DIR,\"models\")\n","TABLE_DIR = os.path.join(BASE_DIR,\"tables\")\n","SPLIT_DIR = os.path.join(BASE_DIR,\"dataset_splits\")\n","\n","for p in [FIG_DIR,MODEL_DIR,TABLE_DIR,SPLIT_DIR]:\n"," os.makedirs(p,exist_ok=True)\n","\n","print(\"Folders created.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"294uAtd1CX22","executionInfo":{"status":"ok","timestamp":1774368204276,"user_tz":-330,"elapsed":1566,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"0b2234ad-68f9-48b4-dba9-e248c8be4811"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["Folders created.\n"]}]},{"cell_type":"code","source":["df = pd.read_csv(\"/content/drive/MyDrive/datasets/nprism - nprism.csv\")\n","\n","df = df[['clean_text','hate_label','language']]\n","df = df.dropna()\n","\n","print(df.shape)\n","df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":223},"id":"MtzROj7tChTe","executionInfo":{"status":"ok","timestamp":1774368209550,"user_tz":-330,"elapsed":1170,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"435252aa-b66c-484e-fc05-b7f6b9955e20"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["(29506, 3)\n"]},{"output_type":"execute_result","data":{"text/plain":[" clean_text hate_label language\n","0 Knowing ki Vikas kitna samjhata hai Priyanka a... 0 hinglish\n","1 I am Muhajir .. Aur mere lye sab se Pehly Paki... 0 hinglish\n","2 Doctor sab sahi me ke PhD (in hate politics) w... 0 hinglish\n","3 Poore Desh me Patel OBC me aate Hain sirf gujr... 0 hinglish\n","4 Sarkar banne ke bad Hindu hit me ek bhi faisla... 1 hinglish"],"text/html":["\n","
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clean_texthate_labellanguage
0Knowing ki Vikas kitna samjhata hai Priyanka a...0hinglish
1I am Muhajir .. Aur mere lye sab se Pehly Paki...0hinglish
2Doctor sab sahi me ke PhD (in hate politics) w...0hinglish
3Poore Desh me Patel OBC me aate Hain sirf gujr...0hinglish
4Sarkar banne ke bad Hindu hit me ek bhi faisla...1hinglish
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"df","summary":"{\n \"name\": \"df\",\n \"rows\": 29506,\n \"fields\": [\n {\n \"column\": \"clean_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 29506,\n \"samples\": [\n \"Khatmalo ko maar maar kar khoon jaama karne se .. blood bank nahin ban jaata sir aaj kal party me aesa hi kuch ho raha hai\",\n \"my worse bitch looks better than your main bitch now that is bad right there laughing out loud\",\n \"they could just be people on holiday\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"hate_label\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"language\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"hinglish\",\n \"hindi\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":5}]},{"cell_type":"code","source":["train_pool, test_set = train_test_split(\n"," df,\n"," test_size=0.30,\n"," stratify=df['hate_label'],\n"," random_state=42\n",")\n","\n","train_set, valid_set = train_test_split(\n"," train_pool,\n"," test_size=0.142857,\n"," stratify=train_pool['hate_label'],\n"," random_state=42\n",")\n","\n","print(\"Train:\",len(train_set))\n","print(\"Valid:\",len(valid_set))\n","print(\"Test :\",len(test_set))\n","\n","train_set.to_csv(f\"{SPLIT_DIR}/train_split.csv\",index=False)\n","valid_set.to_csv(f\"{SPLIT_DIR}/valid_split.csv\",index=False)\n","test_set.to_csv(f\"{SPLIT_DIR}/test_split.csv\",index=False)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"QXjyOTPaCyQK","executionInfo":{"status":"ok","timestamp":1774368214498,"user_tz":-330,"elapsed":2673,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"6fae9463-0f85-4008-91f7-2c73f8e33c15"},"execution_count":6,"outputs":[{"output_type":"stream","name":"stdout","text":["Train: 17703\n","Valid: 2951\n","Test : 8852\n"]}]},{"cell_type":"code","source":["lang_counts = df['language'].value_counts()\n","\n","plt.figure(figsize=(6,4))\n","plt.pie(lang_counts,labels=lang_counts.index,autopct='%1.1f%%')\n","plt.title(\"Language Distribution\")\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR,\"dataset_language_pie.png\"),\n"," dpi=300,\n"," bbox_inches=\"tight\"\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":367},"id":"YGAC0O0TC1nc","executionInfo":{"status":"ok","timestamp":1774368218155,"user_tz":-330,"elapsed":1201,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"67410e6e-b0d4-4f79-ed9e-2acba37a009b"},"execution_count":7,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["MAX_WORDS = 50000\n","MAX_LEN = 150\n","\n","def tokenize(train_text, valid_text, test_text):\n","\n"," tok = Tokenizer(num_words=MAX_WORDS)\n"," tok.fit_on_texts(train_text)\n","\n"," X_train = pad_sequences(tok.texts_to_sequences(train_text),maxlen=MAX_LEN)\n"," X_valid = pad_sequences(tok.texts_to_sequences(valid_text),maxlen=MAX_LEN)\n"," X_test = pad_sequences(tok.texts_to_sequences(test_text),maxlen=MAX_LEN)\n","\n"," return X_train,X_valid,X_test,tok"],"metadata":{"id":"KBMyWWB8C6X9","executionInfo":{"status":"ok","timestamp":1774368220239,"user_tz":-330,"elapsed":24,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":8,"outputs":[]},{"cell_type":"code","source":["# Download GloVe embeddings\n","\n","!wget http://nlp.stanford.edu/data/glove.6B.zip\n","\n","# Unzip\n","!unzip glove.6B.zip"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bBEdVlmoDfuC","executionInfo":{"status":"ok","timestamp":1774368406658,"user_tz":-330,"elapsed":184277,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"85c657b5-3f85-4967-eb1a-67a8f01761f6"},"execution_count":9,"outputs":[{"output_type":"stream","name":"stdout","text":["--2026-03-24 16:03:40-- http://nlp.stanford.edu/data/glove.6B.zip\n","Resolving nlp.stanford.edu (nlp.stanford.edu)... 171.64.67.140\n","Connecting to nlp.stanford.edu (nlp.stanford.edu)|171.64.67.140|:80... connected.\n","HTTP request sent, awaiting response... 302 Found\n","Location: https://nlp.stanford.edu/data/glove.6B.zip [following]\n","--2026-03-24 16:03:40-- https://nlp.stanford.edu/data/glove.6B.zip\n","Connecting to nlp.stanford.edu (nlp.stanford.edu)|171.64.67.140|:443... connected.\n","HTTP request sent, awaiting response... 301 Moved Permanently\n","Location: https://downloads.cs.stanford.edu/nlp/data/glove.6B.zip [following]\n","--2026-03-24 16:03:40-- https://downloads.cs.stanford.edu/nlp/data/glove.6B.zip\n","Resolving downloads.cs.stanford.edu (downloads.cs.stanford.edu)... 171.64.64.22\n","Connecting to downloads.cs.stanford.edu (downloads.cs.stanford.edu)|171.64.64.22|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 862182613 (822M) [application/zip]\n","Saving to: ‘glove.6B.zip’\n","\n","glove.6B.zip 100%[===================>] 822.24M 5.02MB/s in 2m 38s \n","\n","2026-03-24 16:06:19 (5.19 MB/s) - ‘glove.6B.zip’ saved [862182613/862182613]\n","\n","Archive: glove.6B.zip\n"," inflating: glove.6B.50d.txt \n"," inflating: glove.6B.100d.txt \n"," inflating: glove.6B.200d.txt \n"," inflating: glove.6B.300d.txt \n"]}]},{"cell_type":"code","source":["EMBEDDING_DIM = 100\n","GLOVE_PATH = \"glove.6B.100d.txt\"\n","\n","embeddings_index = {}\n","\n","with open(GLOVE_PATH, encoding=\"utf8\") as f:\n"," for line in f:\n"," values = line.split()\n"," word = values[0]\n"," coefs = np.asarray(values[1:], dtype='float32')\n"," embeddings_index[word] = coefs\n","\n","print(\"Loaded embeddings:\", len(embeddings_index))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kdQFXN2eC-oA","executionInfo":{"status":"ok","timestamp":1774368424155,"user_tz":-330,"elapsed":10806,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"8d0b95af-9ac4-426f-f87c-43b58931987e"},"execution_count":10,"outputs":[{"output_type":"stream","name":"stdout","text":["Loaded embeddings: 400000\n"]}]},{"cell_type":"code","source":["def create_embedding_matrix(tokenizer):\n","\n"," word_index = tokenizer.word_index\n"," matrix = np.zeros((MAX_WORDS,EMBEDDING_DIM))\n","\n"," for word,i in word_index.items():\n","\n"," if i>=MAX_WORDS:\n"," continue\n","\n"," vector = embeddings_index.get(word)\n","\n"," if vector is not None:\n"," matrix[i]=vector\n","\n"," return matrix"],"metadata":{"id":"iBZcBbc2DC8E","executionInfo":{"status":"ok","timestamp":1774368427173,"user_tz":-330,"elapsed":3,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":11,"outputs":[]},{"cell_type":"code","source":["def build_model(embedding_matrix):\n","\n"," model = Sequential()\n","\n"," model.add(\n"," Embedding(\n"," MAX_WORDS,\n"," EMBEDDING_DIM,\n"," weights=[embedding_matrix],\n"," input_length=MAX_LEN,\n"," trainable=False\n"," )\n"," )\n","\n"," model.add(Bidirectional(LSTM(128)))\n"," model.add(Dropout(0.5))\n"," model.add(Dense(64,activation='relu'))\n"," model.add(Dense(1,activation='sigmoid'))\n","\n"," model.compile(\n"," loss='binary_crossentropy',\n"," optimizer=Adam(),\n"," metrics=['accuracy']\n"," )\n","\n"," return model"],"metadata":{"id":"b1K3eedPEbD_","executionInfo":{"status":"ok","timestamp":1774368430043,"user_tz":-330,"elapsed":5,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":12,"outputs":[]},{"cell_type":"code","source":["def evaluate(y_true,preds):\n","\n"," y_pred = (preds>0.5).astype(int)\n","\n"," tn,fp,fn,tp = confusion_matrix(y_true,y_pred).ravel()\n","\n"," specificity = tn/(tn+fp)\n","\n"," return {\n"," \"accuracy\":accuracy_score(y_true,y_pred),\n"," \"balanced\":balanced_accuracy_score(y_true,y_pred),\n"," \"precision\":precision_score(y_true,y_pred),\n"," \"recall\":recall_score(y_true,y_pred),\n"," \"specificity\":specificity,\n"," \"f1\":f1_score(y_true,y_pred),\n"," \"auc\":roc_auc_score(y_true,preds)\n"," }"],"metadata":{"id":"80KLO8OuEfHs","executionInfo":{"status":"ok","timestamp":1774368450361,"user_tz":-330,"elapsed":22,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":13,"outputs":[]},{"cell_type":"code","source":["def run_strategy(name,train_df,valid_df,test_df):\n","\n"," X_train,X_valid,X_test,tok = tokenize(\n"," train_df['clean_text'],\n"," valid_df['clean_text'],\n"," test_df['clean_text']\n"," )\n","\n"," y_train = train_df['hate_label'].values\n"," y_valid = valid_df['hate_label'].values\n"," y_test = test_df['hate_label'].values\n","\n"," emb_matrix = create_embedding_matrix(tok)\n","\n"," model = build_model(emb_matrix)\n","\n"," history = model.fit(\n"," X_train,y_train,\n"," validation_data=(X_valid,y_valid),\n"," epochs=8,\n"," batch_size=64\n"," )\n","\n"," # =========================\n"," # 📊 TRAINING PLOTS\n"," # =========================\n","\n"," # Accuracy\n"," plt.figure()\n"," plt.plot(history.history['accuracy'])\n"," plt.plot(history.history['val_accuracy'])\n"," plt.title(f\"{name} Accuracy\")\n"," plt.xlabel(\"Epochs\")\n"," plt.ylabel(\"Accuracy\")\n"," plt.legend([\"Train\",\"Validation\"])\n"," plt.grid(True)\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_accuracy.png\"))\n"," plt.show()\n","\n"," # Loss\n"," plt.figure()\n"," plt.plot(history.history['loss'])\n"," plt.plot(history.history['val_loss'])\n"," plt.title(f\"{name} Loss\")\n"," plt.xlabel(\"Epochs\")\n"," plt.ylabel(\"Loss\")\n"," plt.legend([\"Train\",\"Validation\"])\n"," plt.grid(True)\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_loss.png\"))\n"," plt.show()\n","\n"," best_epoch = np.argmax(history.history['val_accuracy'])+1\n","\n"," preds = model.predict(X_test)\n"," y_pred = (preds>0.5).astype(int)\n","\n"," metrics = evaluate(y_test,preds)\n","\n"," # =========================\n"," # 📊 TESTING PLOTS\n"," # =========================\n","\n"," # Confusion Matrix (BLUE + 0/1)\n"," cm = confusion_matrix(y_test,y_pred)\n","\n"," plt.figure()\n"," sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues',\n"," xticklabels=[0,1],\n"," yticklabels=[0,1]\n"," )\n"," plt.xlabel(\"Predicted Label\")\n"," plt.ylabel(\"True Label\")\n"," plt.title(f\"{name} Confusion Matrix\")\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_cm.png\"))\n"," plt.show()\n","\n"," # ROC Curve\n"," fpr,tpr,_ = roc_curve(y_test,preds)\n","\n"," plt.figure()\n"," plt.plot(fpr,tpr)\n"," plt.xlabel(\"FPR\")\n"," plt.ylabel(\"TPR\")\n"," plt.title(f\"{name} ROC Curve\")\n"," plt.grid(True)\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_roc.png\"))\n"," plt.show()\n","\n"," # Precision-Recall\n"," precision,recall,_ = precision_recall_curve(y_test,preds)\n","\n"," plt.figure()\n"," plt.plot(recall,precision)\n"," plt.xlabel(\"Recall\")\n"," plt.ylabel(\"Precision\")\n"," plt.title(f\"{name} PR Curve\")\n"," plt.grid(True)\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_pr.png\"))\n"," plt.show()\n","\n"," # F1 Curve\n"," f1_curve = 2*(precision*recall)/(precision+recall+1e-8)\n","\n"," plt.figure()\n"," plt.plot(recall,f1_curve)\n"," plt.xlabel(\"Recall\")\n"," plt.ylabel(\"F1 Score\")\n"," plt.title(f\"{name} F1 Curve\")\n"," plt.grid(True)\n"," plt.savefig(os.path.join(FIG_DIR,f\"{name}_f1.png\"))\n"," plt.show()\n","\n"," return metrics,best_epoch,history,preds,y_test"],"metadata":{"id":"s0-LEkHBEh6B","executionInfo":{"status":"ok","timestamp":1774368769756,"user_tz":-330,"elapsed":8,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":17,"outputs":[]},{"cell_type":"code","source":["results = []\n","\n","roc_data = {}\n","\n","strategies = {\n"," \"english\":\"english\",\n"," \"hindi\":\"hindi\",\n"," \"hinglish\":\"hinglish\"\n","}\n","\n","for name,lang in strategies.items():\n","\n"," tr = train_set[train_set.language==lang]\n"," va = valid_set[valid_set.language==lang]\n"," te = test_set[test_set.language==lang]\n","\n"," m,b,h,p,y = run_strategy(name,tr,va,te)\n","\n"," roc_data[name]=(y,p)\n","\n"," results.append([\n"," name,b,\n"," m['accuracy'],\n"," m['balanced'],\n"," m['precision'],\n"," m['recall'],\n"," m['specificity'],\n"," m['f1'],\n"," m['auc']\n"," ])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"gZjAxzDFEkVp","executionInfo":{"status":"ok","timestamp":1774368835792,"user_tz":-330,"elapsed":63839,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"efcfe23e-dc15-426e-f4ac-d22baead9e99"},"execution_count":18,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/8\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 23ms/step - accuracy: 0.6731 - loss: 0.5964 - val_accuracy: 0.7201 - val_loss: 0.5441\n","Epoch 2/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 24ms/step - accuracy: 0.7243 - loss: 0.5445 - val_accuracy: 0.7483 - val_loss: 0.5119\n","Epoch 3/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 21ms/step - accuracy: 0.7526 - loss: 0.5043 - val_accuracy: 0.7463 - val_loss: 0.5147\n","Epoch 4/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.7659 - loss: 0.4825 - val_accuracy: 0.7672 - val_loss: 0.4751\n","Epoch 5/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.7770 - loss: 0.4683 - val_accuracy: 0.7416 - val_loss: 0.4965\n","Epoch 6/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.7766 - loss: 0.4698 - val_accuracy: 0.7544 - val_loss: 0.4919\n","Epoch 7/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 19ms/step - accuracy: 0.7956 - loss: 0.4427 - val_accuracy: 0.7598 - val_loss: 0.4666\n","Epoch 8/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 23ms/step - accuracy: 0.8100 - loss: 0.4203 - val_accuracy: 0.7692 - val_loss: 0.4584\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m143/143\u001b[0m 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Epoch 1/8\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 23ms/step - accuracy: 0.5486 - loss: 0.6898 - val_accuracy: 0.5710 - val_loss: 0.6828\n","Epoch 2/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - accuracy: 0.5598 - loss: 0.6860 - val_accuracy: 0.5761 - val_loss: 0.6775\n","Epoch 3/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 0.5515 - loss: 0.6855 - val_accuracy: 0.5761 - val_loss: 0.6750\n","Epoch 4/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - accuracy: 0.5564 - loss: 0.6828 - val_accuracy: 0.5771 - val_loss: 0.6739\n","Epoch 5/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - accuracy: 0.5547 - loss: 0.6823 - val_accuracy: 0.5679 - val_loss: 0.6798\n","Epoch 6/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - accuracy: 0.5562 - loss: 0.6837 - val_accuracy: 0.5853 - val_loss: 0.6768\n","Epoch 7/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - accuracy: 0.5598 - loss: 0.6822 - val_accuracy: 0.5945 - val_loss: 0.6722\n","Epoch 8/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - accuracy: 0.5666 - loss: 0.6802 - val_accuracy: 0.5853 - val_loss: 0.6719\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m91/91\u001b[0m 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Epoch 1/8\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["\u001b[1m46/46\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 38ms/step - accuracy: 0.6192 - loss: 0.6531 - val_accuracy: 0.6626 - val_loss: 0.6413\n","Epoch 2/8\n","\u001b[1m46/46\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 26ms/step - accuracy: 0.6730 - loss: 0.6292 - val_accuracy: 0.6770 - val_loss: 0.6293\n","Epoch 3/8\n","\u001b[1m46/46\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 26ms/step - accuracy: 0.6942 - loss: 0.6030 - val_accuracy: 0.6687 - val_loss: 0.6290\n","Epoch 4/8\n","\u001b[1m46/46\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 29ms/step - accuracy: 0.7105 - loss: 0.5859 - val_accuracy: 0.6831 - val_loss: 0.6282\n","Epoch 5/8\n","\u001b[1m46/46\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 25ms/step - accuracy: 0.7220 - loss: 0.5639 - val_accuracy: 0.6831 - val_loss: 0.6187\n","Epoch 6/8\n","\u001b[1m46/46\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 19ms/step - accuracy: 0.7372 - loss: 0.5408 - val_accuracy: 0.6914 - val_loss: 0.6245\n","Epoch 7/8\n","\u001b[1m46/46\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 19ms/step - accuracy: 0.7525 - loss: 0.5243 - val_accuracy: 0.7160 - val_loss: 0.6243\n","Epoch 8/8\n","\u001b[1m46/46\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 19ms/step - accuracy: 0.7605 - loss: 0.4963 - val_accuracy: 0.6996 - val_loss: 0.6914\n"]},{"output_type":"display_data","data":{"text/plain":["
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CZW1+GeblStXDp1OZzk+evQorq6urFixgiZNmmBvb8+mTZs4ceIETzzxBD4+Pri4uNCsWTPWrFmT677/HgLT6XR88803PPnkkzg5OVGjRg2WLl1azLUVQghRkhhNZraeuMK7yw7T4eP1dPxkE+svapuCaNoDlJ2dze7duxk3bpylTK/X07FjR7Zu3Zqve8yePZtnn30WZ2dnQF1nZtmyZYwZM4bw8HD27t1LlSpVGDduHD179rzjPbKyssjKyrIcp6amAurj0P9+JNpoNKIoCmazGbPZDKg9JjeM+dvWQVEUbmSbMGQZH/qpI0dbwwPd41bc//7f119/nQ8++ICqVatSvnx5zp07x2OPPcbbb7+Nvb09P/zwA927d+fIkSNUrlw5V51u3QNg8uTJvPfee7z//vt88cUX9OvXj1OnTlGhQgUURbnjNSWB2WxGURSMRmORrgN06ztlrY/bS/2tu/4gbWAt9b+Sns3GY5dZf+wSf8Vd4XpmjuU9G72OG6bCb4OC3E/TBOjy5cuYTCZ8fHxylfv4+HD06NH7Xr9jxw4OHjzI7NmzLWVJSUmkpaXx3nvv8c477/D++++zcuVKnnrqKdatW0ebNm3y3Gfq1KlMnjw5T/nq1avzrPdjY2ODr68vaWlplqG4G9kmwqZty1edC9PWyEdwtCv4L+rMzEwURbEkehkZGQCMHTuW0NBQy3lVqlShSpUqluNXX32VX375hZ9//tky78dsNpOZmWm5F8Czzz5rmZM1duxYPv/8c9avX0/Hjh0t51y/fr3AcRe17Oxsbty4wcaNG8nJybn/BQ8pOjq6yD+jJJP6W3f9QdqgrNVfUeBCBhy+puPQNT1n0kDh9h/pLjYKtcurr1rlFBxtCr8Nbv0+yw/N5wA9jNmzZ1OvXj2aN29uKbvVq/DEE0/wyiuvANCwYUO2bNnCzJkz75gAjRs3jsjISMtxamoqAQEBdO7cGTc3t1znZmZmcu7cOVxcXCxzimyyi/6X5Z24urniZFfwf0IHBwd0Op2lbreSvFatWuWqb1paGpMnT2b58uVcvHiRnJwcbty4waVLlyzn6fV6HBwccl3XtGlTy7Gbmxtubm6kpaXh5uaGoihcv34dV1fXErfuTmZmJo6OjrRu3bpI54sZjUaio6Pp1KkTtra2RfY5JZXU37rrD9IGZan+Gdk5bD1xlXU3e3oSU7NyvV/bz5W2Nb1oF+xJff9y6PXqz/2iaoN//jF+P5omQJ6enhgMBhITE3OVJyYm4uvre89r09PTWbBgAW+99Vaee9rY2FC7du1c5SEhIWzatOmO97K3t8fe3j5Pua2tbZ5/GJPJhE6nQ6/XW7ZycLa35fBb4feM9xaz2cz11Ou4urk+9FYQDzoEdutz//2/rq65YxozZgzR0dF89NFHVK9eHUdHR55++mmMRmOu8261xy329vZ53r/1ObcS1H9fUxLo9Xp0Ot0d/92LQnF9Tkkl9bfu+oO0QWmt/7mrGayLTSLmSBJbT14hO+f2dAZHWwMtq3vSIcSbdsHe+Ja79x+Thd0GBbmXpgmQnZ0dTZo0ISYmxjI/x2w2ExMTw4gRI+557aJFi8jKyqJ///557tmsWbNcTzgBHDt2jMDAwEKN/xadTpfvnhiz2UyOnQEnO5sSlwD82+bNmxk0aBBPPvkkoPYInT59WtughBBCFKsck5k9Z5OJOZrIuqNJHEtMy/V+pfKOdKjlTbta3jxS1QMH29Kxl6LmQ2CRkZEMHDiQpk2b0rx5c6KiokhPT2fw4MEADBgwAH9/f6ZOnZrrutmzZ9OzZ887bkj62muv0adPH1q3bk27du1YuXIlf/zxB+vXry+OKpUZNWrU4Ndff6V79+7odDrGjx9f4iYuCyGEKHzX0rPZcOwSa48mseHYJVJu3J5cbNDraBJYng61vGlfy5vq3i4lbkpDfmieAPXp04dLly4xYcIEEhISaNiwIStXrrRMjD579myenpLY2Fg2bdrE6tWr73jPJ598kpkzZzJ16lRGjhxJcHAwv/zyC48++miR16csmTZtGkOGDKFFixZ4enoyduzYAo2vCiGEKB0URSE28ToxR5JYdzSJPWevYVZuv+/uZEu7YLWXp00NL8o5lb6hu3/TPAECGDFixF2HvO7UaxMcHGx5nPpuhgwZwpAhQwojvDJn0KBBDBo0yHLctm3bO7ZnUFAQa9euzVUWERGR6/jfQ2J3uk9ycvIDxyqEEKJoZBpNbDlxmbVHk1h7JIn4lNwrE9bydaV9LW86hHjTMKA8Bn3p6+W5lxKRAAkhhBCi6MUn31ATnqNJbDlxmUzj7WkN9jZ6Wlb3pP3N+Tz+7o4aRlr0JAESQgghyiiTWWHv2WuWpOdoQu412PzdHWlXy4v2tbwJq+r5QGvLlVaSAAkhhBBlSEqGkQ3HL7H2SCIbjl3iWsbtCcx6HTSuXJ72IeoE5mCfkrcmW3GRBEgIIYQoxRRFIS4pjZibvTy7z1zD9I8ZzG4ONrQNVhOeNjW9KO9sp2G0JYckQEIIIUQpk2k0se3kFdYdTSLmaBLnr93I9X5NHxfa1fKmQy0fGld2x8ZQsted04IkQEIIIUQpkJCSaZnLsznucq5NuO1s9LSo5qFOYA72JqCC0z3uJEASICGEEKJEMpkV9p9PVnt5jiRx+GLuddh83Rxu9vJ406K6xwPtDWnNpLWEEEKIEiI108jGWyswx17iSnq25T2dDhoGuFu2najt52a1E5gLgyRAQgghhEYUReHEpfSbc3kS2XX6Gjn/mMDsam9D62Av2gd70zbYCw+XvBt3iwcjCZDIt7Zt29KwYUOioqIAdaXo0aNHM3r06Lteo9PpWLJkiWWz2wdVWPcRQgitZeeYOZqsY/eyo2w4fpkzVzJyvV/Ny5n2tbxpX8uHpkHlsZUJzEVCEiAr0b17d4xGIytXrszz3l9//UXr1q3Zv38/9evXz/c9d+7cibOzc2GGyaRJk/jtt9/Yt29frvKLFy9Svnz5Qv0sIYQoToqisOzARd5bfoTzyQbgLAB2Bj2hVSvcTHq8CfQo3J+r4s4kAbISL7zwAr169eL8+fNUqlQp13tz586ladOmBUp+ALy8vAozxHvy9fUtts8SQojCtu9cMm//eZjdZ64B4GKj0KVBJTrW9uXR6p4428uv4+Im/WpW4vHHH8fLy4tvv/02V3laWhqLFi2iZ8+ePPfcc/j7++Pk5ES9evX46aef7nnPoKAgy3AYwPHjx2ndujUODg7Url2b6OjoPNe8/vrrNG3aFBcXF6pWrcr48eMxGtVVSr/99lsmT57M/v370el06HQ6S7w6nY7ffvvNcp8DBw7Qvn17HB0d8fDw4MUXXyQtLc3y/qBBg+jZsycfffQRfn5+eHh4EBERYfksIYQoDheSbzBqwV56Tt/M7jPXcLQ1MLJdNSY0NjGlZx3C6/hK8qMRafXCoChgzLj/eQBms3putgH0D5l/2jqpjwXkg42NDQMGDODbb7/ljTfesDw5sGjRIkwmE/3792fRokWMHTsWNzc3li1bxvPPP0+1atVo3rz5fe9vNpt56qmn8PHxYfv27aSkpNxxbpCrqyvTp0+nRo0aHDp0iKFDh+Lq6sqYMWPo06cPBw8eZOXKlaxZswaAcuXK5blHeno64eHhhIWFsXPnTpKSkvjPf/7DiBEjciV469atw8/Pj3Xr1hEXF0efPn1o2LAhQ4cOzVebCSHEg0rLymHm+hN8/ddJsnLM6HTQq3ElXu0cjIeTgeXLY7UO0epJAlQYjBkwpWK+TtUD7oX1uf+LB7v8jxUPGTKEDz/8kA0bNtC2bVtAHf7q1asXgYGBvPrqq5ZzX375ZVatWsXPP/+crwRozZo1HD16lFWrVlGxotoWU6ZMoUuXLrnOe+ONN0hNTcXNzY2qVavy6quvsmDBAsaMGYOjoyMuLi7Y2Njcc8hr/vz5ZGZm8v3331vmIH3xxRd0796d999/Hx8fHwDKly/PF198gcFgoFatWnTr1o2YmBhJgIQQRcZkVli8+xwfrT7GpetZAIRWqcD4x2tT11/9g056oksGSYCsSK1atWjRogVz5syhbdu2xMXF8ddff/HWW29hMpmYMmUKP//8MxcuXCA7O5usrCycnPK3muiRI0cICAiwJD8AYWFhec5buHAhUVFRnDlzhrS0NHJycnBzcytQPY4cOUKDBg1yTcBu2bIlZrOZ2NhYSwJUp04dDIbbOxv7+flx4MCBAn2WEELk1+a4y7z952HLjutBHk6M6xpC59o+sl5PCSQJUGGwdVJ7Y/LBbDaTev06bq6u6AtjCKyAXnjhBV5++WWmT5/O3LlzqVatGm3atOH999/n008/JSoqinr16uHs7Mzo0aPJzs6+/03zaevWrTz//PO8/vrr9OjRg/Lly7NgwQI+/vjjQvuMf7K1tc11rNPpMJvNRfJZQgjrdeJSGlOXH2HNkSRA3Xx0ZIcaDAgLws5GptqWVJIAFQadLv9DUWYz2JrU8x82AXoAzzzzDKNGjWL+/Pl8//33DBs2DJ1Ox+bNm3niiSfo37//zTDNHDt2jNq1a+frviEhIZw7d46LFy/i5+cHwLZt23Kds2XLFstQm5ubG3q9njNnzuQ6x87ODpPJxL2EhITw7bffkp6ebukF2rx5M3q9nuDg4HzFK4QQD+taejafxhznx21nyDErGPQ6nn8kkFEdasiO66WApKZWxsXFhT59+jBu3DguXrzIoEGDAKhRowbR0dFs2bKFI0eO8N///pfExMR837djx47UrFmTgQMHsn//fv766y/eeOONXOfUqFGDs2fP8ssvv3DixAk+++wzlixZkuucoKAgTp06xb59+7h8+TJZWVl5Pqtfv344ODgwcOBADh48yLp163j55Zd5/vnnLcNfQghRVLJzzMzedIq2H63n2y2nyTErdAzxZtXo1kzqUUeSn1JCEiAr9MILL3Dt2jXCw8Mtc3befPNNGjduTHh4OG3btsXX17dAqy7r9XqWLFnCjRs3aN68Of/5z3949913c53To0cPRo8ezZgxY2jcuDFbtmxh/Pjxuc7p1asXjz32GO3atcPLy+uOj+I7OTmxatUqrl69SrNmzXj66afp0KEDX3zxRcEbQwgh8klRFFYdSqDzJxt4+8/DpNwwUsvXlR9fCOWbgc2o7u2idYiiAGQIzAqFhYWhKEqusgoVKuRaZ+dO1q9fn+v49OnTuY5r1qzJX3/9lavs35/z/vvv88Ybb1iGwIBcj8vb29uzePHiPJ/97/vUq1ePtWvX3jXWf693BORas0gIIQri4IUU3ll2mG0nrwLg6WLPa+E1ebpJAAa9THAujSQBEkIIIe4iMTWTD1fF8sue8ygK2NvoGdqqKi+1rYaLLGBYqsm/nhBCCPEvN7JNzNp4kpkbTnDDqD6Y8UTDiox5rBb+7o4aRycKgyRAQgghxE1ms8Jv+y7wwcpYElIzAWgSWJ43u4XQqLJsyFyWSAIkhBBCADtOXeWdZYf5+3wKAJXKO/J6l1p0q+cnCxmWQZIAPaB/T8oVpZ/8mwphnc5cSee9FUdZcTABABd7GyLaVWdwyyAcbA33uVqUVpIAFdCt1YUzMjJwdJRx4LIkI0Pd0PbfK0gLIcqmlBtGpq+L49vNp8k2mdHr4LnmlXmlU008Xey1Dk8UMUmACshgMODu7k5SkrrkuZOTU4G6Rs1mM9nZ2WRmZj78VhilUEmsv6IoZGRkkJSUhLu7e679w4QQZU+Oycz8HWf5JPoY1zLUjUlb1fDkzW61CfZ11Tg6UVwkAXoAt3Yqv5UEFYSiKNy4cQNHR0erHFMuyfV3d3e/5y70QojSTVEU1sde4t3lR4hLSgOghrcLb3QLoW2wt8bRieImCdAD0Ol0+Pn54e3tjdFoLNC1RqORjRs30rp1a6scaimp9be1tZWeHyHKsKMJqby77Ah/Hb8MQAVnO17pVJPnmgVgYygZvdGieEkC9BAMBkOBf2kaDAZycnJwcHAoUQlAcbH2+gshitel61lMiz7Gwp1nMStgZ9AzuGUQEe2r4+YgP4OsmSRAQgghypxMo4k5m0/x5boTpGXlANC1ni+vPxZCZQ8njaMTJYEkQEIIIcoMRVH44++LvL/iKBeSbwBQv1I5xj9em2ZBFTSOTpQkkgAJIYQoE/acvcbbfx5m79lkAPzKOTDmsWCeaOCPXjYsFf8iCZAQQohS7fy1DD5YGcvS/fEAONkZGNamGv9pVRVHO3m4QdyZJEBCCCFKpbSsHL5cF8c3m06RnWNGp4PeTSrxf52D8XFz0Do8UcKViGf/pk+fTlBQEA4ODoSGhrJjx467ntu2bVt0Ol2eV7du3e54/ksvvYROpyMqKqqIohdCCFGcTGaFn3acpe2H6/hy/Qmyc8yEVfXgz5cf5YOnG0jyI/JF8x6ghQsXEhkZycyZMwkNDSUqKorw8HBiY2Px9s67MNWvv/5Kdna25fjKlSs0aNCA3r175zl3yZIlbNu2jYoVKxZpHYQQQhSPTccv886ywxxNuA5AFU9n/tc1hI4h3iVucVVRsmmeAE2bNo2hQ4cyePBgAGbOnMmyZcuYM2cOr7/+ep7zK1TIPYt/wYIFODk55UmALly4wMsvv8yqVavu2jskhBCidIhLus6U5UdZe1Rdgb+coy2jOtSg/yOB2NmUiMEMUcpomgBlZ2eze/duxo0bZynT6/V07NiRrVu35uses2fP5tlnn8XZ2dlSZjabef7553nttdeoU6dOoccthBCieFxNz+bTNcf4cftZTGYFG72OAWFBjOxQHXcnO63DE6WYpgnQ5cuXMZlM+Pj45Cr38fHh6NGj971+x44dHDx4kNmzZ+cqf//997GxsWHkyJH5iiMrK4usrCzLcWpqKqBu21DQrS7u59b9Cvu+pYW11x+kDaT+1l1/yF8bZOWY+XH7WaavP8n1THUhw461vBgTXpMqns73vb4kk+9A0bVBQe6n+RDYw5g9ezb16tWjefPmlrLdu3fz6aefsmfPnnyPB0+dOpXJkyfnKV+9ejVOTkWzYmh0dHSR3Le0sPb6g7SB1N+66w93bgNFgb+v6lh6Rs/lLPVnuL+TQs8gMzXLXeTIjoscKe5Ai4h8Bwq/DTIyMvJ9rqYJkKenJwaDgcTExFzliYmJ992VOz09nQULFvDWW2/lKv/rr79ISkqicuXKljKTycT//d//ERUVxenTp/Pca9y4cURGRlqOU1NTCQgIoHPnzri5uT1Aze7OaDQSHR1Np06drHIvLGuvP0gbSP2tu/5w9zY4eCGVKStj2Xn6GgBeLnZEdqrBkw0rYihDCxnKd6Do2uDWCE5+aJoA2dnZ0aRJE2JiYujZsyegzt+JiYlhxIgR97x20aJFZGVl0b9//1zlzz//PB07dsxVFh4ezvPPP2+ZaP1v9vb22Nvb5ym3tbUtsi9nUd67NLD2+oO0gdTfuusPt9sgISWTD1Yd5dc9FwBwsNXzYquq/LdNNZztS/VAxT3Jd6Dw26Ag99L8mxUZGcnAgQNp2rQpzZs3JyoqivT0dEuyMmDAAPz9/Zk6dWqu62bPnk3Pnj3x8PDIVe7h4ZGnzNbWFl9fX4KDg4u2MkIIIfItIzuHOetP8dXGE2QazQA82cif18KDqejuqHF0oqzTPAHq06cPly5dYsKECSQkJNCwYUNWrlxpmRh99uxZ9PrcjzjGxsayadMmVq9erUXIQgghHoLZrLAjSceUqM0kXlcfQGkWVJ43u9WmQYC7tsEJq6F5AgQwYsSIuw55rV+/Pk9ZcHAwiqLk+/53mvcjhBCi+G07eYW3/zzEoXgDkEVABUfGdQmhS11fWchQFKsSkQAJIYQo205fTmfqiiOsOqQ+9OJgUBjVMZghrapibyMbloriJwmQEEKIIpOSYeSztcf5futpjCYFg17Hs00rUdt8imceDcJWkh+hEUmAhBBCFDqjycy8bWeIijlOcoa6OF3bYC/e6BpCUAUHli8/pXGEwtpJAiSEEKLQKIrC2qNJvLv8CCcvpQNQ08eFN7rVpk1NL8C6V0AWJYckQEIIIQrF4fhU3l1+mM1xVwDwcLYjsnNN+jQNwMYgG5aKkkUSICGEEA8l6Xom01YfY+GucygK2Bn0DHm0ChHtquHqYN0L/YmSSxIgIYQQDyTTaGL2plN8uS6O9GwTAI/X92PsY7UIqFA0+ygKUVgkARJCCFEgiqKwdH887684SnxKJgANAtyZ8HgITQIraBydEPkjCZAQQoh8233mKm//eYR955IBqFjOgbFdatG9fkX0ZWjDUlH2SQIkhBDivs5dzeC9lUdZ9vdFAJztDAxvV50XHq2Cg62s5SNKH0mAhBBC3NX1TCPT151gzuZTZOeY0emgT9MAIjvXxNvVQevwhHhgkgAJIYTII8dkZuGuc0xbfYwr6dkAtKzuwRtda1O7opvG0Qnx8CQBEkIIkcuGY5d4d9lhjiWmAVDVy5k3uobQvpa3bFgqygxJgIQQQgBwPPE67y4/wvrYSwC4O9kyukMN+j0SiK0sZCjKGEmAhBDCyl1Jy+KTNcf4acc5TGYFW4OOgWFBvNy+BuWcZCFDUTZJAiSEEFYqK8fEt5tP88XaOK5n5QAQXseH17uEUMXTWePohChakgAJIYSVURSFFQcTmLriCOeu3gCgrr8bb3arzSNVPTSOTojiIQmQEEJYkf3nknln2WF2nr4GgI+bPa+F1+KpRv6ykKGwKpIACSGEFYhPvsGHq2JZsvcCAA62ev7buhr/bVMVJzv5VSCsj3zrhRCiDEvPyuGrDSeY9ddJMo1mAHo1rsRr4cH4lpOFDIX1kgRICCHKIJNZ4Zfd5/lwdSyXrmcB0LxKBcZ3q029SuU0jk4I7UkCJIQQZcyWE5d5588jHL6YCkCghxPjuoQQXsdHFjIU4iZJgIQQoow4eSmNKcuPsuZIIgCuDjaM6lCD58MCsbeRDUuF+CdJgIQQopRLzsjm05jj/LD1DDlmBYNeR//QyozqWJMKznZahydEiSQJkBBClFLZOWZ+3HaGT2OOk3LDCED7Wt78r2sI1b1dNI5OiJJNEiAhhChlFEVhzZEkpiw/wqnL6QDU8nXljW4htKrhpXF0QpQOkgAJIUQpcig+hXf+PMLWk1cA8HSx4/86B/NM0wAMspChEPkmCZAQQpQCSamZfLQ6lkW7z6MoYGejZ2irKgxrWx0Xe/lRLkRByf9rhBCiBLuRbeLrv04yc8MJMrJNAPRoUJExjwVTqbyTxtEJUXpJAiSEECWQ2azw+/4LfLAylospmQA0ruzOm4/XpnHl8hpHJ0TpJwmQEEKUMDtPX+WdPw+z/3wKAP7ujrzepRaP1/eThQyFKCSSAAkhRAlx9koG7608wvIDCQC42NswvF01hrSsgoOtLGQoRGGSBEgIITSWmmlk+to45m4+TbbJjF4HfZpVJrJTTbxc7bUOT4gySRIgIYTQSI7JzE87zvLJmuNcTc8GoFUNT97oFkItXzeNoxOibJMESAghipmiwIZjl3hv1XHiktIAqOblzJvdatM22Evm+QhRDCQBEkKIYrTvXDIzj+g5um0vAOWdbHmlU02ea14ZW4Ne4+iEsB6SAAkhRBHLNJpY9vdFvt96+uaTXXpsDToGtQhiRPsalHO01TpEIaxOifhzY/r06QQFBeHg4EBoaCg7duy467lt27ZFp9PleXXr1g0Ao9HI2LFjqVevHs7OzlSsWJEBAwYQHx9fXNURQggA4pNv8MHKo7R4by3/t2g/+8+nYGvQ0czLzIqRLXmjW21JfoTQiOY9QAsXLiQyMpKZM2cSGhpKVFQU4eHhxMbG4u3tnef8X3/9lezsbMvxlStXaNCgAb179wYgIyODPXv2MH78eBo0aMC1a9cYNWoUPXr0YNeuXcVWLyGEdVIUha0nr/D9ljOsPpyAWVHL/co50P+RQHo19GX7xhgCK8gqzkJoSfMEaNq0aQwdOpTBgwcDMHPmTJYtW8acOXN4/fXX85xfoUKFXMcLFizAycnJkgCVK1eO6OjoXOd88cUXNG/enLNnz1K5cuUiqokQwpqlZ+WwZO8Fvt96mmOJaZbysKoeDGwRSMcQH2wMeoxGo4ZRCiFu0TQBys7OZvfu3YwbN85Sptfr6dixI1u3bs3XPWbPns2zzz6Ls7PzXc9JSUlBp9Ph7u5+x/ezsrLIysqyHKempgLqcFph/7C6dT9r/SFo7fUHaYOyVv/TV9L5cfs5ftkTT1pWDgCOtnp6NqxI/9AAavq4AqCYTRjNpjJX/wdh7W1g7fWHomuDgtxPpyiKUqifXgDx8fH4+/uzZcsWwsLCLOVjxoxhw4YNbN++/Z7X79ixg9DQULZv307z5s3veE5mZiYtW7akVq1azJs3747nTJo0icmTJ+cpnz9/Pk5O0k0thMjNrMCRZB1/Jeg4knx7KqWng0IrXzPNvRScNO9fF8L6ZGRk0LdvX1JSUnBzu/daWqX6/6KzZ8+mXr16d01+jEYjzzzzDIqiMGPGjLveZ9y4cURGRlqOU1NTCQgIoHPnzvdtwIIyGo1ER0fTqVMnbG2tb/KjtdcfpA1Kc/1Tbhj5Zc8Fftx+jnPXbgCg00GbGp48/0hlHq3mgV5/7zV8SnP9C4u1t4G11x+Krg1ujeDkh6YJkKenJwaDgcTExFzliYmJ+Pr63vPa9PR0FixYwFtvvXXH928lP2fOnGHt2rX3TGTs7e2xt8+73LytrW2RfTmL8t6lgbXXH6QNSlP9j1xM5futZ/ht7wVuGE0AuDnY8EzTAPo/EkiQ592H4O+mNNW/qFh7G1h7/aHw26Ag99I0AbKzs6NJkybExMTQs2dPAMxmMzExMYwYMeKe1y5atIisrCz69++f571byc/x48dZt24dHh4eRRG+EKIMM5rMrD6UyHdbT7Pj1FVLeS1fVwa2COKJhhVxsivVnehCWDXN/98bGRnJwIEDadq0Kc2bNycqKor09HTLU2EDBgzA39+fqVOn5rpu9uzZ9OzZM09yYzQaefrpp9mzZw9//vknJpOJhAR1Z+UKFSpgZ2dXPBUTQpRKl65nsWDHWeZtP0tCaiYABr2Ox+r4MiAskOZVKshWFUKUAZonQH369OHSpUtMmDCBhIQEGjZsyMqVK/Hx8QHg7Nmz6PW512uMjY1l06ZNrF69Os/9Lly4wNKlSwFo2LBhrvfWrVtH27Zti6QeQojSS1EU9p1L5rstp1l24CJGk/psiKeLHc81r0zf0Mr4lXPUOEohRGHSPAECGDFixF2HvNavX5+nLDg4mLs9vBYUFHTX94QQ4p8yjSb+vLlFxd/nUyzljSq7MzAsiC71fLG3MWgYoRCiqJSIBEgIIYrTheQbzNt2hgU7z3E1XV1Z3s5GT/f6FRnYIpD6ldy1DVAIUeQkARJCWIVbW1R8t+U00YcTLVtUVCznQP+wQPo0DcDDJe/ToEIUumun8U7ZD8pjWkdi1SQBEkKUaelZOfy69wLfbznN8aTbW1S0qObBgLAgOoZ4Y2MoEftCC2twcgM2C/oSlp2G+bsN8Pgn4Fdf66iskiRAQogy6eSlNH7YdobFu85z/eYWFU52Bp5q7M+AsCDLFhVCFJtDv8GvQ9GZ1GFX/YVdMKsNNH8R2v0PHMppG5+VkQRICFFmmMwK62OT+G7rGTYeu2Qpr+LpzICwQHo1qYSbg3UvPCc0snM2LPs/QMFcqzsx+jZ0YBP6w7/B9plwaAl0fhfqPa0uLy6KnCRAQohSLyXDyM+7zvHDtjOcvZoBqL9D2gd7M6BFEK2qe953iwohioSiwIb3Yf3NteyaDsHUaSoZK1dh6voN+iaDYPmrcCUOfv0P7PkOun0MXsGahm0NJAESQpRa6hYVp1my9wKZRjMA5Rxt6dMsgP6hgVT2kM2MhYbMJlgxBnZ+ox63eR3avg45ObfPqdYOhm2BLZ/Bxo/g9F8woyW0GAGtXwO7gm+zIvJHEiAhRKli2aJiy2l2nM69RcWgFkE80dAfRztZu0doLCcLlvxXHdpCB10/hOZD73yujb2a7NTrDSteh2MrYNMncGAxPPYe1Oomw2JFQBIgIUSpkHQ9kwU7zjFv+xkSU7MAsNHrCK/ry6AWQTQNLC9bVIiSIes6LOgHpzaA3haemgV1n7r/deWDoO8COLocVoyFlLOwsB/UCIcu70OFKkUeujWRBEgIUWIpisLec8l8n2eLCnv6hlamb/PK+JZz0DhKIf4h7RLMexou7gM7F+jzozrMVRC1ukLVtvDXR7D5Mzi+Sk2mWv0ftBgJtvKdLwySAAkhSpxbW1R8t+U0By7c3qKicWV3BrYIoktdP+xsZO0eUcJcOw0/PAVXT4CTJ/RbBP6NH+xedk7QYQLUf1adJH1qA6x7F/b/BF0/guodCjV0ayQJkBCixLiQfIMft51hwY6zXMswAuoWFU80qMiAsCDqVZJ1UkQJlXAQfuwFaQlQrjI8vwQ8qz/8fb1qwoDf4eAvsOoNuHoSfnwKaveE8ClQzv/hP8NKSQIkhNCUoihsPXGF77bm3qLC392R/o8E0qdZABWc7bQNUoh7ObMF5j8LWSngXRv6/wpufoV3f51OXR+oRmf1cfrtM+Hwb3A8GtqNg9CXwCDrWxWUJEBCCE2kZ+Xwx64LfLf1DHH/2KKiZXUPBoYF0SHEB4Os3SNKuqPLYfFgyMmEymHw3E/gWL5oPsvBDR6bCg37qosqntsOq9+EffPVtYMCWxTN55ZRkgAJIYrVmSsZ/HJKzxsfbiTt5hYVznYGejWpxICwQKp7yxYVopTY+yMsHQmKCWp2gd5zwdax6D/Xtx4MXgn75kH0BEg6DHO7QIPnoNPb4OJV9DGUAZIACSGKRVpWDp+uOcaczacxmfVADlX/sUWFq2xRIUoLRYHNUbBmknrcsD90/xQMxfgrVa+Hxs+rawTFTIbd36kTpGOXq5OnmwwGvayHdS+SAAkhipSiKPzx90XeXXbYsn5PiLuZMU80o02wj2xRIUoXsxmix8PWL9TjlqOh4yTtFip0qqAmX42ehz9fgYS/1eGxvT+qw2L+TbSJqxSQBEgIUWSOJ15nwu+H2HryCgCBHk6M7xpMetxOHq3uIcmPKF1MRvg9Av5eqB53flfdsqIkqNQUXlyvbrq69m2I3wtfd4CmQ6DD+KKbl1SKyUIaQohCl56Vw9QVR+jy6V9sPXkFexs9/9epJqtGt6ZNTZmfIEqh7HT46Tk1+dHbwJNflZzk5xa9AUJfhBG7oH4fQIFds+HzpupEaUXROsISRXqAhBCFRlEUlh9I4O0/D5OQmglAxxAfJnavTUAFdWNS481NS4UoNTKuwvxn4PxOsHGEPj9AjU5aR3V3rj7q9huNnlcXUbx0FH4bBnu+V4fFfOpoHWGJIAmQEKJQnLiUxsTfD7Ep7jIAARUcmdS9Dh1CfDSOTIiHkHJeXd35ciw4uKurOwc01zqq/KnSCv77F2z7Eja8D2e3wsxW8MgwdVd6e+t+4lISICHEQ8nIzuGLtXF8/ddJjCYFOxs9w9tW46U21XCwladQRCl2KRZ+eBJSL4Cbv7rAoXctraMqGBs7eHQ01O0Fq8bBkT/UCdwHf1HXFKrd02p3mpcESAjxQBRFYdWhBN764zDxKepwV7tgLyb1qEOgh7PG0QnxkM7vUjc1vXENPGuqyY97gNZRPTj3AHVj1uPR6rDYtdOwaBBUbafuLVYY23aUMpIACSEK7NTldCYuPcTGY5cAdduKST3q0DHEG52V/jUpypDja+Dn58GYAf5Noe/P4OyhdVSFo0YnGL4NNkXBpk/g5DqYEQYtR6m7zRfHQo4lhCRAQoh8u5Ft4sv1cXy14STZJjN2Bj0vtanKsLbVcbST4S5RBvz9szph2JwD1TqoE57tyliPpq2juodY/WdgxRiIWwMbP1Tr3uUDCH5M6wiLhSRAQoj7UhSF6MOJTP7jMBeSbwDQuqYXk3vUoYpnGfvlIKzX1i/VeTIA9XrDE1+qc2jKKo9q0G+xOi9o5euQfAZ+6gPB3aDLe+BeWesIi5QkQEKIezpzJZ1JSw+xLvb2cNf4x2sTXsdHhrtE2aAoEPMWbJqmHocOg/Ap6nYTZZ1OB7V7QLX26pNi276E2GVwYi20GQNhI8psEigJkBDijjKNJmasP8GMDSfIzjFja9DxYuuqRLSrjpOd/OgQZYQpB/4cDXt/UI87TIBHI63vySh7F+j89u2d5s9sVvcY2/+TOkm6ahutIyx08lNMCJFHzJFEJv1xiHNX1eGuVjU8mdSjDtW8XDSOTIhCZLwBi19Qezx0eng8CpoM1DoqbXmHwKBl6orXq9+Ey8fg+x5Q92kIfxdcfbWOsNBIAiSEsDh3NYPJfxxizZEkAPzKOTD+8dp0qesrw12ibLmRrG5tcXYLGOzh6TkQ8rjWUZUMOh00eBZqPgZr31G30zi4GI6tgvZvQLOhUJw73xeR0l8DIcRDyzSamLXxJNPXxZGVY8ZGr+M/rarycvvqONvLjwlRxlxPgB97QeJBsHeD5xZAUEutoyp5HN2h20fQqJ86LHZhtzpZeu88eHxa6VkR+y7kJ5sQVm5dbBKTlh7izJUMAFpU8+CtJ+pQ3du6l8kXZdSVE/BDT0g+Cy4+0P8X8K2ndVQlW8VG8MIa2PMdrJkEiQdgdid1r7GOk0vtGkmSAAlhpc5fy+CtPw6z+nAiAD5u9rzZrTaP1/eT4S5RNsXvU3t+Mi5Dharq6s4VqmgdVemg10PTwRDSHaInwr4f1YnjR/9Uk6BGz5e6p+YkARLCymTlmPjmr1N8vvY4mUZ1uGvIo1UY2aEGLjLcJcqqkxtgQT/Ivg6+9dWeHxdvraMqfZw9oed0aPw8/BkJSYfgj5FqMtTtY/BroHWE+SY/7YSwIhuPXWLi0kOcupwOQGiVCrzdsy41fWS4S5Rhh36DX4eCKRuqtIY+88DBTeuoSrfKj8B/N8KOr2DdFDi/E2a1VSdIt38DHMppHeF9SQIkhBWIT77B238eZsXBBAC8XO15s1sIPRpUlOEuUbbt/AaWvQooUPsJeOprsLHXOqqywWADYRFQ5ylY/Ya6w/yOr+DQEvWR+Xq9S/R6SgUesAsKCuKtt97i7NmzRRGPEKIQZeeYmbH+BB0+3sCKgwkY9DpeeLQKa/+vDU809JfkR5RdigLr31OfXkKBpkPg6bmS/BQFNz91GYHnfwOP6pCepPa4fdcdLsVqHd1dFTgBGj16NL/++itVq1alU6dOLFiwgKysrIcKYvr06QQFBeHg4EBoaCg7duy467lt27ZFp9PleXXr1s1yjqIoTJgwAT8/PxwdHenYsSPHjx9/qBiFKG02x12my6cbeX/lUW4YTTQLKs+fLz/K+Mdr4+pgq3V4QhQdswmWvwrrp6rHbV6HbtNALxv2Fqlq7WDYFmg/Hmwc4PRfMKOFOmk6O13r6PJ4oARo37597Nixg5CQEF5++WX8/PwYMWIEe/bsKXAACxcuJDIykokTJ7Jnzx4aNGhAeHg4SUlJdzz/119/5eLFi5bXwYMHMRgM9O7d23LOBx98wGeffcbMmTPZvn07zs7OhIeHk5mZWeD4hChtElIyGTF/D/2+2c6JS+l4utgx7ZkG/PzfMEL8ZN6DKONysmDxEHXoC526jUO7cSV6KKZMsbGH1q9CxHao2QXMObA5CqaHqpuuKorWEVo88DNrjRs35rPPPiM+Pp6JEyfyzTff0KxZMxo2bMicOXNQ8lnJadOmMXToUAYPHkzt2rWZOXMmTk5OzJkz547nV6hQAV9fX8srOjoaJycnSwKkKApRUVG8+eabPPHEE9SvX5/vv/+e+Ph4fvvttwetrhAlntFkZtbGE3T4eD1//n0RvQ4GtQgi5v/a8lTjSjLcJcq+rOswrzcc/g30tuqwTPOhWkdlncoHQd8F8OxPUK4ypJyDhf1h/jNw9ZTW0QEPMQnaaDSyZMkS5s6dS3R0NI888ggvvPAC58+f53//+x9r1qxh/vz597xHdnY2u3fvZty4cZYyvV5Px44d2bp1a77imD17Ns8++yzOzs4AnDp1ioSEBDp27Gg5p1y5coSGhrJ161aeffbZPPfIysrKNYyXmppqqaPRaMxXHPl1636Ffd/SwtrrD0XTBttPXWXSH0eIu6R2Mzeu7M7Ex2tR+2aPT0lqb2v/Dlh7/aGI2iD9EjYL+qBL+BvFzhnT09+jVGkDJbCdreo7UK0T/Lcl+s1R6Ld+ju74apSTG1AeGYneHFxkv2PzQ6fkt6vmpj179jB37lx++ukn9Ho9AwYM4D//+Q+1atWynHPw4EGaNWvGjRs37nmv+Ph4/P392bJlC2FhYZbyMWPGsGHDBrZv337P63fs2EFoaCjbt2+neXN1Se4tW7bQsmVL4uPj8fPzs5z7zDPPoNPpWLhwYZ77TJo0icmTJ+cpnz9/Pk5OTveMQQgtpWTD72f07L6sdua62Cj0CDTTzEtBLx0+wko4ZV0i7MQHuGQlkmXjyrZq/0eyU1WtwxL/4pJ5kfrnvsMr7TAAV52q8VfNCYU6PJmRkUHfvn1JSUnBze3eQ/4F7gFq1qwZnTp1YsaMGfTs2RNb27yTKatUqXLHnpbCNnv2bOrVq2dJfh7UuHHjiIyMtBynpqYSEBBA586d79uABWU0GomOjqZTp053bLuyztrrD4XTBjkmMz9sP8ena+NIzzKh10Hf5gGM7lCdco4lu12t/Ttg7fWHQm6DxEPYLHgNXVYiSrkA9M8tooVH9cIJtIhY9XdAGULOkd/Qr36TsxVa06lz50Jtg1sjOPlR4ATo5MmTBAYG3vMcZ2dn5s6de997eXp6YjAYSExMzFWemJiIr6/vPa9NT09nwYIFvPXWW7nKb12XmJiYqwcoMTGRhg0b3vFe9vb22NvnfTTS1ta2yL6cRXnv0sDa6w8P3gY7Tl1lwu8HOZpwHYCGAe6807Mudf1L/sJj/2Tt3wFrrz8UQhuc2QLzn4WsFPCug67/L9i6+d3/uhLCar8DDZ7BWK0jZ9ZsoE4ht0FB7lXgSdBJSUl3HJravn07u3btKtC97OzsaNKkCTExMZYys9lMTExMriGxO1m0aBFZWVn0798/V3mVKlXw9fXNdc/U1FS2b99+33sKUZIlXc8kcuE+nvlqK0cTrlPeyZb3e9Xj12EtSl3yI8RDO7ocfnhSTX4qh8Hg5ep6NKJ0sHcFnbZ7hxX40yMiIjh37lye8gsXLhAREVHgACIjI/n666/57rvvOHLkCMOGDSM9PZ3BgwcDMGDAgFyTpG+ZPXs2PXv2xMMj9y60Op2O0aNH884777B06VIOHDjAgAEDqFixIj179ixwfEJoLcdkZu7mU3T4aAO/7r2ATgf9Qiuz7tW29GlWGb1M9hHWZs8PsLAf5GSqj1o/vwQc3bWOSpQyBR4CO3z4MI0bN85T3qhRIw4fPlzgAPr06cOlS5eYMGECCQkJNGzYkJUrV+Lj4wPA2bNn0f9rh9nY2Fg2bdrE6tWr73jPMWPGkJ6ezosvvkhycjKPPvooK1euxMHBocDxCaGlXaevMv73Qxy5qI5r169UjrefqEuDAHdtAxNCC4qirimzZpJ63LA/dP9U3ZJBiAIq8LfG3t6exMREqlbNPcP+4sWL2Ng82JdwxIgRjBgx4o7vrV+/Pk9ZcHDwPdcZ0ul0vPXWW3nmBwlRWlxOy+K9FUdZvPs8AO5OtowJr0WfZgEYpMdHWCOzGVa/Cdumq8ctR0PHSbLAoXhgBc5YOnfuzLhx4/j9998pV06dd5CcnMz//vc/OnXqVOgBCmFNTGaFedvP8NGqWFIzcwB4rnkAr4XXooKzncbRCaERkxF+j4C/by5jEj5F3YRTiIdQ4AToo48+onXr1gQGBtKoUSMA9u3bh4+PDz/88EOhByiEtdhz9hrjfzvIoXh1uKuuvxtvP1GXRpXLaxyZEBrKToefB0DcGtDbwBNfQoM+WkclyoACJ0D+/v78/fffzJs3j/379+Po6MjgwYN57rnnrPNxPiEe0pW0LD5YGcvCXerDBW4ONrz2WC36Nq8sw13CumVcVbe2uLALbByhzw9QQ0YaROF4oEk7zs7OvPjii4UdixBWxWRWWLjtDB+uiiXlhrp8+zNNKzH2sVp4uORdl0oIq5JyHn54Ci7HgoM79FsEAQ+36K0Q//TAU+cPHz7M2bNnyc7OzlXeo0ePhw5KiLLuTBr0nrWdAxfU4a7afm683bMOTQIraByZECXApVh1jZ/UC+DmD/1/Be9a979OiAJ4oJWgn3zySQ4cOIBOp7M8jXVrp2mTyVS4EQpRhqTcMDJl2WF+PmBAIRVXBxte7RxMv9DK2Bi0XRRMiBLh3E6Y3xtuXAPPmuoaP+UqaR2VKIMK/BN31KhRVKlShaSkJJycnDh06BAbN26kadOmd3xkXQihOnIxlR5fbGLhrvMo6HiyUUXW/l9bBrYIkuRHCIDj0fB9DzX58W8KQ1ZJ8iOKTIF7gLZu3cratWvx9PREr9ej1+t59NFHmTp1KiNHjmTv3r1FEacQpdqSvecZ9+sBMo1m/N0d6OWfxstP1ZUHB4S45e+f4bdhYM6Bah3UCc92zlpHJcqwAv/ZaTKZcHV1BdTNTOPj4wEIDAwkNja2cKMTopTLzjEz8feDvLJwP5lGM61rerFk2CNUc9M6MiFKkK1fwq9D1eSnXm94boEkP6LIFbgHqG7duuzfv58qVaoQGhrKBx98gJ2dHbNmzcqzOrQQ1iwhJZPh83az52wyACPbV2dUx5qYTTnaBiZESaEo6rYWmz5Rjx8ZDp3fBb0MCYuiV+AE6M033yQ9PR2At956i8cff5xWrVrh4eHBwoULCz1AIUqjbSevMGL+Hi6nZePqYENUn4Z0CFH3tzPLcwJCoFNMGJaNhv3z1IIOE+HRV2RrC1FsCpwAhYeHW/67evXqHD16lKtXr1K+fHnLk2BCWCtFUfjmr1O8t/IoJrNCLV9XZvZvQpCndOcLYWG8QbNTn6FP2Qs6vbqhaeMBWkclrEyBEiCj0YijoyP79u2jbt26lvIKFWTtEiHSsnIYu/hvlh24CMCTjfyZ8mQ9HO0MGkcmRAmRmQonYjBs+QK/lL0oBnt0T8+BkMe1jkxYoQIlQLa2tlSuXFnW+hHiX+KS0njpx93EJaVha9Ax/vHaPP9IoPSKCpF8FmJXQuxyOL0JzEb0gNHghK7vAmyqtdE6QmGlCjwE9sYbb/C///2PH374QXp+hABWHLjIq4v2k55twsfNni/7NaFJoGxgKqyU2QwX90LsCvWVeDD3+x41MNXozIaUQNpUbqFNjELwAAnQF198QVxcHBUrViQwMBBn59xzG/bs2VNowQlRkuWYzHy4KpavNp4EILRKBb7o2xgvV9nHS1gZ4w04tVHt5YldCWkJt9/T6SHgEQjuor48a2A2Gklfvly7eIXgARKgnj17FkEYQpQul9OyGDF/D9tOXgXgxdZVGRMeLCs6C+uRlgTHVqm9PCfXgTHj9nt2LlC9AwR3hRqdwUlGC0TJU+AEaOLEiUURhxClxp6z1xj+4x4SUjNxtjPwYe8GdK3np3VYQhQtRYFLR2/28qyA87sA5fb7bpVu9vI8BkGtwEZ6QkXJ9sC7wQthbRRF4cftZ3nrj0MYTQrVvJz56vkmVPd21To0IYqGyQhntsCxm5OYr53O/b5fQ7WXJ7gL+NaTNXxEqVLgBEiv19/zyRZ5QkyURTeyTbzx2wF+3XMBgK71fPng6Qa42MvfEKKMuZEMcWvUXp7j0ZCVcvs9gz1UbaMmPDUfA7eKmoUpxMMq8E/vJUuW5Do2Go3s3buX7777jsmTJxdaYEKUFGeupPPSj3s4cjEVvQ5e71KLoa2qyiPuouy4eup2L8+ZLeqeXLc4earJTnAXqNoW7F00C1OIwlTgBOiJJ57IU/b0009Tp04dFi5cyAsvvFAogQlREqw9msjoBftIzczB08WOz55rRItqnlqHJcTDMZvhwm44dvNR9aTDud/3qnUz6ekKlZqCXhbzFGVPofXfP/LII7z44ouFdTshNGUyK3wac5zPYo4D0KiyO1/2a4xfOUeNIxPiAWVnwMn1ai/PsVWQnnT7PZ0BAlvcHtryqKZZmEIUl0JJgG7cuMFnn32Gv79/YdxOCE0lZ2QzasE+Nhy7BMCAsEDe7FYbOxt5xF2UMtcTbg5trVCTn5zM2+/Zu0H1jmovT/UO8qi6sDoFToD+vempoihcv34dJycnfvzxx0INTojidvBCCi/9uJvz127gYKtnypP1eKpxJa3DEiJ/FAUSD6kJz7EV6jDXP5WrfHtBwsCWYGOnTZxClAAFToA++eSTXAmQXq/Hy8uL0NBQypeX5f9F6bVo1zne/O0gWTlmKldwYmb/JtSu6KZ1WELcW042nNl8e+uJlLO53/dvcjPp6QreteVRdSFuKnACNGjQoCIIQwjtZOWYmPzHYeZvV39xtK/lzSfPNKSck63GkQlxFxlXbz6qvhziYiAr9fZ7Ng5Qtd3N+Tzh4OqrXZxClGAFToDmzp2Li4sLvXv3zlW+aNEiMjIyGDhwYKEFJ0RRi0++wbAfd7P/fAo6HbzSsSYj2lVHr5e/kkUJc+XEzaGtleqj6so/1lxz9laTneCu6qPqdk6ahSlEaVHgBGjq1Kl89dVXecq9vb158cUXJQESpcbmuMu8/NNerqZnU87Rlk+fbUjbYG+twxJCZTap203c2nricmzu971r3x7aqtgY9DJJX4iCKHACdPbsWapUqZKnPDAwkLNnz97hCiFKFkVRmLnhJB+uOopZgToV3ZjZvwkBFeSvZqGxrDR1Y9FbPT0ZV26/p7dRJy4Hd1X32yofpFmYQpQFBU6AvL29+fvvvwkKCspVvn//fjw8PAorLiGKxPVMI68u2s+qQ4kA9G5Sibd71sXBVhZ6ExpJjb+d8JzcAKas2+85lFN3U6/5mPrIuqO7ZmEKUdYUOAF67rnnGDlyJK6urrRu3RqADRs2MGrUKJ599tlCD1CIwnIs8Tov/bCbk5fTsTPomfxEHZ5tFiBbWhS3nCzsjcnqGjW2VjjR3GikXMZp9H99CMdXwcV9ud8vH3R7g9HKYWCwwjYSohgUOAF6++23OX36NB06dMDGRr3cbDYzYMAApkyZUugBClEY/tgfz5jFf3PDaKJiOQdm9G9CgwB3rcOyLtkZsOMrbDZ9wmOZKXBQ64C0YQu0BbBM6dFBpWa35/N4Bcuj6kIUgwInQHZ2dixcuJB33nmHffv24ejoSL169QgMDCyK+IR4KEaTmanLjzJn8ykAWlb34LNnG+HhYq9xZFbEZIS9P8D69yEtAR2goAOdDmv8Na8AJp0d+urt0Nfqpj695SKT74Uobg+8FUaNGjWoUaNGYcYiRKFKup7JiHl72XH6KgDD21bj/zoHY5BH3IuH2QyHl8Dad+DqSbXMvTI5rV9n2VknunZ7HFsrHALLMRpZvnw5Xbt2RW+F9ReipChwAtSrVy+aN2/O2LFjc5V/8MEH7Ny5k0WLFhVacEI8qJ2nrxIxbw9J17Nwtbfho2caEF5HFoQrFooCJ2JgzWRI+Fstc/aC1mOgySAURQfnlmsboxDC6hV44YiNGzfStWvXPOVdunRh48aNBQ5g+vTpBAUF4eDgQGhoKDt27Ljn+cnJyURERODn54e9vT01a9Zk+fLbP0xNJhPjx4+nSpUqODo6Uq1aNd5++20URSlwbKL0URSFuZtP8dysbSRdz6Kmjwu/j2gpyU9xOb8LvusOP/ZSkx87V2j3BozcB6Evyt5TQogSo8A9QGlpadjZ5f0hZmtrS2pq6h2uuLuFCxcSGRnJzJkzCQ0NJSoqivDwcGJjY/H2zjsmnp2dTadOnfD29mbx4sX4+/tz5swZ3N3dLee8//77zJgxg++++446deqwa9cuBg8eTLly5Rg5cmRBqytKkYzsHMb9eoDf98UD0L1BRd7vVQ8nuwce6RX5lXQU1r4NR/9Ujw320HwoPBoJzrI8hhCi5Cnwb4Z69eqxcOFCJkyYkKt8wYIF1K5du0D3mjZtGkOHDmXw4MEAzJw5k2XLljFnzhxef/31POfPmTOHq1evsmXLFsvcgX+vR7RlyxaeeOIJunXrZnn/p59+um/PkijdTl1O56UfdhObeB0bvY43uoUwqEWQPOJe1JLPwfr3YP98UMyg00PDvtDmdXAP0Do6IYS4qwInQOPHj+epp57ixIkTtG/fHoCYmBjmz5/P4sWL832f7Oxsdu/ezbhx4yxler2ejh07snXr1jtes3TpUsLCwoiIiOD333/Hy8uLvn37MnbsWAwGdSG7Fi1aMGvWLI4dO0bNmjXZv38/mzZtYtq0aXeNJSsri6ys24uP3erJMhqNGI3GfNcpP27dr7DvW1oURf3XHEnitV8OkpaVg5eLHZ8924CmgeXJyckptM8oTGXiO5BxBf3mT9DvnoPOlA2AObgbprZvgGdN9Zy71K9M1P8hWHv9QdrA2usPRdcGBbmfTnmAyTHLli1jypQplsfgGzRowMSJE6lQoQJ169bN1z3i4+Px9/dny5YthIWFWcrHjBnDhg0b2L59e55ratWqxenTp+nXrx/Dhw8nLi6O4cOHM3LkSCZOnAioaxL973//44MPPsBgMGAymXj33XdzJVr/NmnSJCZPnpynfP78+Tg5yfYIJZVZgeXn9ERfUKeyVXVVGFTTRDmZZlJkDKZMql1aSfXE5diaMwG45BLCkYrPcM25msbRCSGsXUZGBn379iUlJQU3N7d7nvtAkyO6detmGWJKTU3lp59+4tVXX2X37t2YTKb7XP3gzGYz3t7ezJo1C4PBQJMmTbhw4QIffvihJQH6+eefmTdvHvPnz6dOnTrs27eP0aNHU7Fixbtu1Dpu3DgiIyMtx6mpqQQEBNC5c+f7NmBBGY1GoqOj6dSpk1U+AlxY9b+ans0ri/5mywX1EfdBYZUZE14TW0PJ3xCyVH4HcrLQ7/0e/aaP0WVcBkDxqYep/QTcq7QlrABDjaWy/oXI2usP0gbWXn8oujYoyFzkB54dunHjRmbPns0vv/xCxYoVeeqpp5g+fXq+r/f09MRgMJCYmJirPDExEV/fOz+x4+fnh62trWW4CyAkJISEhASys7Oxs7Pjtdde4/XXX7dsy1GvXj3OnDnD1KlT75oA2dvbY2+fd2E8W1vbIvtyFuW9S4OHqf/+c8kMn7eHC8k3cLQ18P7T9enRoGIhR1j0SsV3wGyCA4tg3buQfHOz4wrVoP2b6Gr3xOYhdiAvFfUvQtZef5A2sPb6Q+G3QUHuVaAEKCEhgW+//ZbZs2eTmprKM888Q1ZWFr/99luBJ0Db2dnRpEkTYmJi6NmzJ6D28MTExDBixIg7XtOyZUvmz5+P2WxGf/MH77Fjx/Dz87M8mZaRkWF57xaDwYDZbC5QfKJk+mnHWSb+fohsk5kqns7M7N+EYF9XrcMqexQFjq2CmLcg6ZBa5uILbV+HRv1lfyohRKmX7z/funfvTnBwMH///TdRUVHEx8fz+eefP9SHR0ZG8vXXX/Pdd99x5MgRhg0bRnp6uuWpsAEDBuSauzNs2DCuXr3KqFGjOHbsmGUuUkRERK443333XZYtW8bp06dZsmQJ06ZN48knn3yoWIW2Mo0mxizez7hfD5BtMtO5tg+/j2gpyU9ROLMV5jwGP/VRkx+HctBxEozcC00HS/IjhCgT8t0DtGLFCkaOHMmwYcMKbQuMPn36cOnSJSZMmEBCQgINGzZk5cqV+Pj4AHD27NlcvTkBAQGsWrWKV155hfr16+Pv78+oUaNyrUr9+eefM378eIYPH05SUhIVK1bkv//9b57H9kXpce5qBsPm7ebghVT0Ong1PJiXWldDL1taFK6Eg2qPz/FV6rGNIzzyErQcBY7ltY1NCCEKWb4ToE2bNjF79myaNGlCSEgIzz//vGWezcMYMWLEXYe81q9fn6csLCyMbdu23fV+rq6uREVFERUV9dCxiSJwcR++ybshsyXYet739A3HLjFqwV6SM4xUcLbjs2cb8WiN+18nCuDqKVg3RZ3rgwI6AzQZqG5d4eandXRCCFEk8p0APfLIIzzyyCNERUWxcOFC5syZQ2RkJGazmejoaAICAnB1leEIcReJhyDmLWyPrSQUUD6ZDoEtoGYXCO4CFarkOt1sVpi+Lo5pa46hKNCgUjm+7N8Ef3dHbeIvi9KSYMMHsPtbMN9cO6NuL3XrCg95pF0IUbYV+CkwZ2dnhgwZwpAhQ4iNjWX27Nm89957vP7663Tq1ImlS5cWRZyitLp2GtZNhb8XAgqKzkC6nScuWYlwaqP6WjUOvELURCi4CykeDYj8+W9ijiYB0De0MhO718bexnDPjxL5lJkCWz6HrV+CMV0tq9YBOkyAig01DU0IIYrLQ22SFBwczAcffMDUqVP5448/mDNnTmHFJUq7tCTY+BHsmnO7d6F2T3JajyVm+3G6PlIL25NrIHYFnNkCl46or03TMFGOzjmNsLNtSsduz9DrkWBt61JWGDNh59fw18dw45pa5t8UOk6EKq21jU0IIYpZoewSaTAY6Nmzp+VxdmHFMlNv9i5Mv927ULWd2rvg3/jm9gjHoUJV8ImAsAj1l/HxNZzf/gvlzq+ngi6FPjbr6cN6WPMFnGwLNR9TXzInpeBMOepeXevfg9QLaplnsPpvUqsbyH5pQggrJNtki8JhzIRds9Venxvq6sxUbKz2LlRte89Ls23L8e6pEL478Ty2PMd/Kl9kVKXjOJxYDSln4dhK9XXrnsFd1eEynzryy/teFAWO/KHu0n75mFrmVgna/Q8aPAt6GVIUQlgvSYDEwzHlwN8L1Hk+qefVMo8a0GE8hPS4b4KSkJLJ8Hm72XM2GYBhHUIY1aEHBr1O/QWedBhil6tDZRd2Q/we9bXuHShXGYIfU5OhwEfBRjYBszi5AdZMUtsKwLECtH4Vmr4Atg6ahiaEECWBJEDiwSgKHP0TYt6Gy7FqmZu/ulJwg75guP9Xa+uJK7z80x4up2Xj5mDDJ30a0iHE5/YJOp3ay+NTB1q/BtcT1NWJY1fAyXVq79COWerLzhVqdFR7h6p3BKcKRVTxEi5+L6yZrLYPgK0ztBgBYSPAoXD3tRNCiNJMEiBRcKc2qr0LF3arx47lodX/QbP/gO39H1NXFJi9+TQfrj6OyawQ4ufGzP6NCfRwvveFrr7q+jRNBkJ2BpxcD8dWQOxKSE+CQ0vUl84AlcMsT5VZxSPdl+PUoa7Dv6nHelto9gK0ehVcvDQNTQghSiJJgET+xe+DmMlwYq16bOsEjwyHliPV7RLyIS0rh2+P69l3RZ2T8lQjf959sh6OdgWcj2LnBLW6qi+zWR3quTVUlnQYzmxSX6vfUCf8Bj+m9g5Vala25r6kxsOG92HPD6CYAB3U7wPtxkH5IK2jE0KIEksSIHF/V07A2nfg0K/qsd4GmgxWh6Vcfe597T+YzQpDvtvNvit6bA06JnSvQ//QyugediKzXg+VmqqvDhPUtYdiV6oJ0ZnN6hDd5VjY/Ck4eahPkwV3UZ9Os3d5uM/WSsZV2BwF27+CnEy1rGYXde6VTx1NQxNCiNJAEiBxd6kXb/YufH+7d6Feb/Upon+t3JwfKw8lsPdcCvYGhR+GNKd5tSIamikfpO5h9chLcCMZTsSoPUPHV0PGFdg3T30Z7NX1b24NlblVLJp4ClN2OmyfCZs+hawUtaxymLpZaeVHNA1NCCFKE0mARF43rsGmqJu9CzfUshrhau+Cb70HuqXZrPDpmuMAtPVTaFTZvXBivR9Hd3V7h7q9wGSEs1vVZCh2udpTFBetvpZFgl/Dm4/YPwa+9UvWI/Ymo5qIbngf0hLVMp+60GEi1OhUsmIVQohSQBIgcVt2Buz4CjZ9om6XABAQqvYuBLZ4qFsvP3iR2MTruDrY0NYv8+FjfRAGW7XHp0prCJ8Cl2Jvzxs6vxMu7lNf66eo6+XcesQ+qBXY2GsTs9msDj2ufQeunVLL3AOh/ZtQ92l1+E8IIUSBSQIk1N6FvT/A+vchLUEt866tzqep+dhD9y78s/dncFggTpmxDxvxw9PpwLuW+moVCWmX4PjNR+xPrFXXNNr5jfqyc4Fq7dXeoRqdwdmj6ONTFIiLgZhJkHBALXP2hjZjoPFAWfNICCEekiRA1sxshsNL1N6FqyfVMvfK6m7g9XoX2tNSyw5c5HhSGm4ONgxqUZm/1paABOjfXLygUX/1ZbyhPuofu1ydTJ2WAEeWqi+dHgIeuT1vyLNG4cdyboe6ls+ZTeqxvZv6pF3osNI7aVsIIUoYSYCskaKoE4PXTIaEv9UyJ0+1d6HJoEId7jGZFT6NUXt//tOqKq4OtoV27yJj6wg1w9VXN7M6LBa7Qn0lHoCzW9RX9HjwqH4zGeoKlZrnawHIu0o6oi4sGbtMPTbYQ/Oh6hpL1rqwoxBCFBFJgKzN+V3qIoan/1KP7VyhxcsQNhzsXQv94/78O564pDTKOdoyuGVQod+/yOn16iau/o2h/RuQfPbmatTL4dRfcCVO3fx1y+fqgpA1wtWEqHqH/Ldn8ll1o9L9P4FiVnuZGvZTV9UuV6lo6yeEEFZKEiBrcSkWYt5St68AMNhBs6Hq/BdnzyL5SJNZ4bObvT9DW1XB1cEWo9FYJJ9VbNwrq70yzYdCZmruR+xvXFP3Rft7gdq+Qa1uD5XdKZFJvwzbPlPnGZmy1bKQHtB+PHjVLN56CSGElZEEqKxLPnezd2H+7d6FBn3V3gX3gCL96D/2x3PiUjruTrYMbBFUpJ+lCQc3qPOk+jLlwLntt58qu3pCTY5OxMDyV9XlA27tYu8WSPDFJdh8OUxd1wfUJ9M6TIJKTTStkhBCWAtJgMqq9Cvw18ew8+vbvQu1Hld7F7xrFfnH55jM/+j9KSVzfx6GwQaCWqqv8Hfh8vHbydC57eqTXAkHYMP72OgM1FJM6nV+DaHjRHVValnLRwghio0kQGVNVhps+xI2fwbZ19WyoFbqgnkBzYotjD/+jufk5XTKl9Xen/vxrAGeo6DlKHWo6/hqNRmKi0FnTCfN3geHblOwqfuUrOUjhBAakASorMjJgt3fwsYPIf2SWuZbX+1dqNahWHsX1N6fOACGtq6Ki72Vf82cPaFhX/VlzMR4KY61O2LpEtJDkh8hhNCIlf9mKgPMJjiwCNa9qz5NBFChqrpScO0nNfkF+/u+eE5dTqeCsx0Dw4KK/fNLNFsH8ApG0Z3QOhIhhLBqkgCVVoqiPo4d8xYkHVLLXHyh7Vho9Ly67YMGckxmPl+rzv15sXVVnK2990cIIUSJJL+dSqMzW9W1fM5tU4/ty8GjoyH0JbBz0jIyluy9wOkrGVRwtmNAWKCmsQghhBB3IwlQaZJwUO3xOb5KPbZxUJOelqNKxErBRpOZz9eqc3/+27oqTnby9RJCCFEyyW+o0uDqKVg3RZ3rgwI6AzQeoG5d4VZR6+gsluy5wNmrGXi62PG89P4IIYQowSQBKsnSkmDDB+rTXeabKyjXeUrdrNSzuqah/ZvRZObzdercn/+2ria9P0IIIUo0+S1VEmWmqHtLbf0SjDdXCq7WHjpMgIqNtI3tLn7dc55zV2/g6WJP/0ek90cIIUTJJglQSWLMVFdu/utjdV8pAP8m6iKGVdtoG9s9ZOfcnvvzUpuqONoZNI5ICCGEuDdJgEoCU466V9f69yD1glrmWVPt8an1eInfIuGXPec5f+0GXq7S+yOEEKJ0kARIS4oCR/6AtW/D5WNqmZs/tB0HDZ5T95cq4bJzzHxxs/dnWJtqONhK748QQoiSr+T/hi2jdKc3wrp3IH6PWuBYHlq9Cs3+o64WXEos2n2OC8k38Ha1p29oZa3DEUIIIfJFEqDidnEfYXEfYLP3oHps6wxhEdBiBDiU0za2AsrKMTH9Vu9PW+n9EUIIUXpIAlSctnyB7eo38AYUvS26poOh9Wvg4q11ZA/k513niU/JxMfNnueaS++PEEKI0kO2oi5O1Tug6G04V74FOS9tha4fltrkJyvHxJfr1N6f4W2rS++PEEKIUkUSoOLkHUJOxF72BL0E5YO0juah/LzzHBdTMvF1c6BPswCtwxFCCCEKRPMEaPr06QQFBeHg4EBoaCg7duy45/nJyclERETg5+eHvb09NWvWZPny5bnOuXDhAv3798fDwwNHR0fq1avHrl27irIa+efmp3UEDy3TaGL6uhMARLSTuT9CCCFKH03nAC1cuJDIyEhmzpxJaGgoUVFRhIeHExsbi7d33qGh7OxsOnXqhLe3N4sXL8bf358zZ87g7u5uOefatWu0bNmSdu3asWLFCry8vDh+/Djly5cvxpqVbQt3niMhNZOK5Rx4Rnp/hBBClEKaJkDTpk1j6NChDB48GICZM2eybNky5syZw+uvv57n/Dlz5nD16lW2bNmCra0tAEFBQbnOef/99wkICGDu3LmWsipVqhRdJaxMptHEl+tvzv1pVx17G+n9EUIIUfpolgBlZ2eze/duxo0bZynT6/V07NiRrVu33vGapUuXEhYWRkREBL///jteXl707duXsWPHYjAYLOeEh4fTu3dvNmzYgL+/P8OHD2fo0KF3jSUrK4usrCzLcWpqKgBGoxGj0VgY1bW4db/Cvm9x+XHrGRJTs/Ar50DPBr4Frkdpr39hsPY2kPpbd/1B2sDa6w9F1wYFuZ9OURSlUD89n+Lj4/H392fLli2EhYVZyseMGcOGDRvYvn17nmtq1arF6dOn6devH8OHDycuLo7hw4czcuRIJk6cCICDg7qIYGRkJL1792bnzp2MGjWKmTNnMnDgwDvGMmnSJCZPnpynfP78+Tg5ORVGdcuEbBO8vddAqlHHM1VNtPTR5KsjhBBC3FFGRgZ9+/YlJSUFNze3e55bqhKgmjVrkpmZyalTpyw9PtOmTePDDz/k4sWLANjZ2dG0aVO2bNliuW7kyJHs3Lnzrj1Ld+oBCggI4PLly/dtwIIyGo1ER0fTqVMnyzBeaTF3yxmmrIjF392B1aMexc6m4HPoS3P9C4u1t4HU37rrD9IG1l5/KLo2SE1NxdPTM18JkGZDYJ6enhgMBhITE3OVJyYm4uvre8dr/Pz8sLW1tSQ/ACEhISQkJJCdnY2dnR1+fn7Url0713UhISH88ssvd43F3t4ee3v7POW2trZF9uUsynsXhUyjia83nQZgRPsaODvmba+CKG31LwrW3gZSf+uuP0gbWHv9ofDboCD30uwxeDs7O5o0aUJMTIylzGw2ExMTk6tH6J9atmxJXFwcZrPZUnbs2DH8/Pyws7OznBMbG5vrumPHjhEYKLuUP4wft53h0vUsKpV35OkmlbQORwghhHgomq4DFBkZyddff813333HkSNHGDZsGOnp6ZanwgYMGJBrkvSwYcO4evUqo0aN4tixYyxbtowpU6YQERFhOeeVV15h27ZtTJkyhbi4OObPn8+sWbNynSMK5ka2iZkbTgLwcvvq2Bo0Xz5KCCGEeCiaPgbfp08fLl26xIQJE0hISKBhw4asXLkSHx8fAM6ePYtef/uXbUBAAKtWreKVV16hfv36+Pv7M2rUKMaOHWs5p1mzZixZsoRx48bx1ltvUaVKFaKioujXr1+x16+s+HHbGS6nZVG5ghNPNZbeHyGEEKWf5puhjhgxghEjRtzxvfXr1+cpCwsLY9u2bfe85+OPP87jjz9eGOFZvYzsHGZuUFd9HiG9P0IIIcoI+W0m7umHrWe4kp5N5QpOPNnIX+twhBBCiEIhCZC4q/SsHL7aKHN/hBBClD3yG03c1fdbz3A1PZsgD+n9EUIIUbZIAiTuKD0rh1kb1bk/L7evgY30/gghhChD5LeauKPvtp7mWoaRKp7OPNGwotbhCCGEEIVKEiCRR1pWDrNuzv0Z2aG69P4IIYQoc+Q3m8jjuy2nSc4wUtXTmR4NZO6PEEKIskcSIJHL9UzjP3p/amDQ6zSOSAghhCh8kgCJXL7dfJqUG0aqeTnTvYHM/RFCCFE2SQIkLFIzjXz9l/T+CCGEKPskARIWczedJjUzh+reLjxeX3p/hBBClF2SAAkAUm4Ymb1J7f0ZJb0/QgghyjhJgAQAczefIjUzh5o+LnSr56d1OEIIIUSRkgRI3Oz9OQXAqA410UvvjxBCiDJOEiDB7E2nuJ6ZQ7CPK13q+modjhBCCFHkJAGycikZRube6v3pWEN6f4QQQlgFSYCs3DebTnI9K4davq48Vkd6f4QQQlgHSYCsWHJGNnM3nwZgtPT+CCGEsCKSAFmxb/46RVpWDiF+bnSuLb0/QgghrIckQFbqWno2czerc3+k90cIIYS1kQTISn3910nSs03UqehG59o+WocjhBBCFCtJgKzQ1fRsvttyGoDRHWui00nvjxBCCOsiCZAVmrVR7f2p6+9GxxBvrcMRQgghip0kQFbmSloW3289DcDoDtL7I4QQwjpJAmRlZm08SUa2ifqVytFBen+EEEJYKUmArMjltCy+33oGUJ/8kt4fIYQQ1koSICsya+NJbhhNNAhwp12w9P4IIYSwXpIAWYlL1/8x90d6f4QQQlg5SYCsxFcbTpBpNNMwwJ22Nb20DkcIIYTQlCRAViDpeiY/blfn/rzSSZ78EkIIISQBsgIz158k02imUWV3Wtfw1DocIYQQQnOSAJVxSamZzLvV+yOrPgshhBCAJEBl3pfrT5CVY6ZJYHlaSe+PEEIIAUgCVKYlpGQyf8dZQHp/hBBCiH+SBKgMm7nhBNk5ZpoFladldQ+twxFCCCFKDEmAyijp/RFCCCHurkQkQNOnTycoKAgHBwdCQ0PZsWPHPc9PTk4mIiICPz8/7O3tqVmzJsuXL7/jue+99x46nY7Ro0cXQeQl15fr48jOMdO8SgXCqknvjxBCCPFPNloHsHDhQiIjI5k5cyahoaFERUURHh5ObGws3t55t2vIzs6mU6dOeHt7s3jxYvz9/Tlz5gzu7u55zt25cydfffUV9evXL4aalBzxyTdYsOMcIKs+CyGEEHeieQ/QtGnTGDp0KIMHD6Z27drMnDkTJycn5syZc8fz58yZw9WrV/ntt99o2bIlQUFBtGnThgYNGuQ6Ly0tjX79+vH1119Tvnz54qhKifHl+jiyTWZCq1SgRTV58ksIIYT4N00ToOzsbHbv3k3Hjh0tZXq9no4dO7J169Y7XrN06VLCwsKIiIjAx8eHunXrMmXKFEwmU67zIiIi6NatW657W4MLyTdYuFPt/XmlU02NoxFCCCFKJk2HwC5fvozJZMLHxydXuY+PD0ePHr3jNSdPnmTt2rX069eP5cuXExcXx/DhwzEajUycOBGABQsWsGfPHnbu3JmvOLKyssjKyrIcp6amAmA0GjEajQ9Stbu6db/Cvu8tn8ccw2hSeKRKeZoEuBXZ5zyooq5/aWDtbSD1t+76g7SBtdcfiq4NCnI/zecAFZTZbMbb25tZs2ZhMBho0qQJFy5c4MMPP2TixImcO3eOUaNGER0djYODQ77uOXXqVCZPnpynfPXq1Tg5ORV2FQCIjo4u9HtezYJFew2AjuZOl+46MbwkKIr6lzbW3gZSf+uuP0gbWHv9ofDbICMjI9/napoAeXp6YjAYSExMzFWemJiIr6/vHa/x8/PD1tYWg8FgKQsJCSEhIcEypJaUlETjxo0t75tMJjZu3MgXX3xBVlZWrmsBxo0bR2RkpOU4NTWVgIAAOnfujJubW2FU1cJoNBIdHU2nTp2wtbUt1Hu/+fthTMp5WlStwMvPNi3UexeWoqx/aWHtbSD1t+76g7SBtdcfiq4Nbo3g5IemCZCdnR1NmjQhJiaGnj17AmoPT0xMDCNGjLjjNS1btmT+/PmYzWb0enUK07Fjx/Dz88POzo4OHTpw4MCBXNcMHjyYWrVqMXbs2DzJD4C9vT329vZ5ym1tbYvsy1nY9z53NYNf9lwA4JXOwSX+/1RF2balhbW3gdTfuusP0gbWXn8o/DYoyL00HwKLjIxk4MCBNG3alObNmxMVFUV6ejqDBw8GYMCAAfj7+zN16lQAhg0bxhdffMGoUaN4+eWXOX78OFOmTGHkyJEAuLq6Urdu3Vyf4ezsjIeHR57ysmT6ujhyzAqPVvekWVAFrcMRQgghSjTNE6A+ffpw6dIlJkyYQEJCAg0bNmTlypWWidFnz5619PQABAQEsGrVKl555RXq16+Pv78/o0aNYuzYsVpVQXPnrmawePd5AF7pVEPjaIQQQoiST/MECGDEiBF3HfJav359nrKwsDC2bduW7/vf6R5lyedrj5NjVmhVw5MmgdL7I4QQQtyP5gshiodz5kr67bk/su6PEEIIkS+SAJVyn6+Nw2RWaFPTi8aVrWvFayGEEOJBSQJUip2+nM6SvdL7I4QQQhSUJECl2K3en3bBXjQMcNc6HCGEEKLUkASolDp1OZ0le9Unv0Z3lN4fIYQQoiAkASqlPo85jlmB9rW8aSC9P0IIIUSBSAJUCp24lMZv+9S5P6M7yro/QgghREFJAlQK3er96RjiTf1K7lqHI4QQQpQ6kgCVMnFJaSzdHw/I3B8hhBDiQUkCVMp8vlbt/elU24e6/uW0DkcIIYQolSQBKkXikq7/o/dH5v4IIYQQD0oSoFLk05g4FAXC6/hQp6L0/gghhBAPShKgUuJY4nX+/Fvt/RnVQeb+CCGEEA9DEqBS4tOY4ygKPFbHl9oV3bQORwghhCjVJAEqBWITrrP8wEUARsncHyGEEOKhSQJUCnwacwxFga71fAnxk94fIYQQ4mFJAlTCHbmYyvIDCeh0MvdHCCGEKCySAJVwn8UcB6BrPT+CfV01jkYIIYQoGyQBKsEOx6ey4qDa+zO6g8z9EUIIIQqLJEAl2KcxxwB4vH5FavhI748QQghRWCQBKqEOxaew6lAiOh2MbF9d63CEEEKIMkUSoBIqao0696e79P4IIYQQhU4SoBLo4IUUog8notfBSJn7I4QQQhQ6SYBKoKg16tyfHg0qUt3bReNohBBCiLJHEqAS5u/zyaw5kiS9P0IIIUQRkgSohPn05tyfng39qeolvT9CCCFEUZAEqATZfy6ZmKNq78/L0vsjhBBCFBlJgEqQW3N/ejbyp4qns8bRCCGEEGWXJEAlxN6z11gXewmDXsfI9tL7I4QQQhQlSYBKiFvr/jzZyJ8g6f0RQgghipQkQCXA7jPX2HBM7f15WVZ9FkIIIYqcJEAlwK25P70a+xPoIb0/QgghRFGTBEhju89c5a/jl7HR63hZ5v4IIYQQxUISII3dmvvzdJNKBFRw0jgaIYQQwjpIAqShXadv9/5EtJO5P0IIIURxkQRIQ5/cnPvTu6n0/gghhBDFSRIgjew8fY3NcVewNUjvjxBCCFHcSkQCNH36dIKCgnBwcCA0NJQdO3bc8/zk5GQiIiLw8/PD3t6emjVrsnz5csv7U6dOpVmzZri6uuLt7U3Pnj2JjY0t6moUyGdr4wDo3TSASuWl90cIIYQoTponQAsXLiQyMpKJEyeyZ88eGjRoQHh4OElJSXc8Pzs7m06dOnH69GkWL15MbGwsX3/9Nf7+/pZzNmzYQEREBNu2bSM6Ohqj0Ujnzp1JT08vrmrdU1wKbDt1TXp/hBBCCI3YaB3AtGnTGDp0KIMHDwZg5syZLFu2jDlz5vD666/nOX/OnDlcvXqVLVu2YGtrC0BQUFCuc1auXJnr+Ntvv8Xb25vdu3fTunXroqlIAaw4bwCgT7MA/N0dNY5GCCGEsD6aJkDZ2dns3r2bcePGWcr0ej0dO3Zk69atd7xm6dKlhIWFERERwe+//46Xlxd9+/Zl7NixGAyGO16TkpICQIUKFe74flZWFllZWZbj1NRUAIxGI0aj8YHqdjebjycRl6rD1qDjxUeDCv3+Jd2t+lpbvf/J2ttA6m/d9QdpA2uvPxRdGxTkfjpFUZRC/fQCiI+Px9/fny1bthAWFmYpHzNmDBs2bGD79u15rqlVqxanT5+mX79+DB8+nLi4OIYPH87IkSOZOHFinvPNZjM9evQgOTmZTZs23TGOSZMmMXny5Dzl8+fPx8mp8ObnKAp8fsjAies6WvmYebqqudDuLYQQQli7jIwM+vbtS0pKCm5ubvc8V/MhsIIym814e3sza9YsDAYDTZo04cKFC3z44Yd3TIAiIiI4ePDgXZMfgHHjxhEZGWk5Tk1NJSAggM6dO9+3AQti68krnNi2G4NOYfJzLQnwcC20e5cWRqOR6OhoOnXqZBnCtDbW3gZSf+uuP0gbWHv9oeja4NYITn5omgB5enpiMBhITEzMVZ6YmIivr+8dr/Hz88PW1jbXcFdISAgJCQlkZ2djZ2dnKR8xYgR//vknGzdupFKlSneNw97eHnt7+zzltra2hfoPczXDhJuDDQ3cswnwcLXaLz4UftuWRtbeBlJ/664/SBtYe/2h8NugIPfS9CkwOzs7mjRpQkxMjKXMbDYTExOTa0jsn1q2bElcXBxm8+3ho2PHjuHn52dJfhRFYcSIESxZsoS1a9dSpUqVoq1IPvVs5M/6/2tFl0oy9CWEEEJoSfPH4CMjI/n666/57rvvOHLkCMOGDSM9Pd3yVNiAAQNyTZIeNmwYV69eZdSoURw7doxly5YxZcoUIiIiLOdERETw448/Mn/+fFxdXUlISCAhIYEbN24Ue/3+zdXBFmfrTviFEEIIzWk+B6hPnz5cunSJCRMmkJCQQMOGDVm5ciU+Pj4AnD17Fr3+dp4WEBDAqlWreOWVV6hfvz7+/v6MGjWKsWPHWs6ZMWMGAG3bts31WXPnzmXQoEFFXichhBBClGyaJ0CgztUZMWLEHd9bv359nrKwsDC2bdt21/tp+GCbEEIIIUoBzYfAhBBCCCGKmyRAQgghhLA6kgAJIYQQwupIAiSEEEIIqyMJkBBCCCGsjiRAQgghhLA6kgAJIYQQwupIAiSEEEIIqyMJkBBCCCGsjiRAQgghhLA6kgAJIYQQwuqUiL3ASppbe4mlpqYW+r2NRiMZGRmkpqZia2t928Jbe/1B2kDqb931B2kDa68/FF0b3Pq9nZ89QSUBuoPr168D6s7zQgghhChdrl+/Trly5e55jk6RrdPzMJvNxMfH4+rqik6nK9R7p6amEhAQwLlz53BzcyvUe5cG1l5/kDaQ+lt3/UHawNrrD0XXBoqicP36dSpWrIhef+9ZPtIDdAd6vZ5KlSoV6We4ublZ7RcfpP4gbSD1t+76g7SBtdcfiqYN7tfzc4tMghZCCCGE1ZEESAghhBBWRxKgYmZvb8/EiROxt7fXOhRNWHv9QdpA6m/d9QdpA2uvP5SMNpBJ0EIIIYSwOtIDJIQQQgirIwmQEEIIIayOJEBCCCGEsDqSAAkhhBDC6kgCVIymT59OUFAQDg4OhIaGsmPHDq1DKjYbN26ke/fuVKxYEZ1Ox2+//aZ1SMVq6tSpNGvWDFdXV7y9venZsyexsbFah1WsZsyYQf369S0Ln4WFhbFixQqtw9LMe++9h06nY/To0VqHUiwmTZqETqfL9apVq5bWYRW7Cxcu0L9/fzw8PHB0dKRevXrs2rVL67CKRVBQUJ7vgE6nIyIiQpN4JAEqJgsXLiQyMpKJEyeyZ88eGjRoQHh4OElJSVqHVizS09Np0KAB06dP1zoUTWzYsIGIiAi2bdtGdHQ0RqORzp07k56ernVoxaZSpUq899577N69m127dtG+fXueeOIJDh06pHVoxW7nzp189dVX1K9fX+tQilWdOnW4ePGi5bVp0yatQypW165do2XLltja2rJixQoOHz7Mxx9/TPny5bUOrVjs3Lkz179/dHQ0AL1799YmIEUUi+bNmysRERGWY5PJpFSsWFGZOnWqhlFpA1CWLFmidRiaSkpKUgBlw4YNWoeiqfLlyyvffPON1mEUq+vXrys1atRQoqOjlTZt2iijRo3SOqRiMXHiRKVBgwZah6GpsWPHKo8++qjWYZQYo0aNUqpVq6aYzWZNPl96gIpBdnY2u3fvpmPHjpYyvV5Px44d2bp1q4aRCa2kpKQAUKFCBY0j0YbJZGLBggWkp6cTFhamdTjFKiIigm7duuX6eWAtjh8/TsWKFalatSr9+vXj7NmzWodUrJYuXUrTpk3p3bs33t7eNGrUiK+//lrrsDSRnZ3Njz/+yJAhQwp90/H8kgSoGFy+fBmTyYSPj0+uch8fHxISEjSKSmjFbDYzevRoWrZsSd26dbUOp1gdOHAAFxcX7O3teemll1iyZAm1a9fWOqxis2DBAvbs2cPUqVO1DqXYhYaG8u2337Jy5UpmzJjBqVOnaNWqFdevX9c6tGJz8uRJZsyYQY0aNVi1ahXDhg1j5MiRfPfdd1qHVux+++03kpOTGTRokGYxyG7wQhSziIgIDh48aHXzHwCCg4PZt28fKSkpLF68mIEDB7JhwwarSILOnTvHqFGjiI6OxsHBQetwil2XLl0s/12/fn1CQ0MJDAzk559/5oUXXtAwsuJjNptp2rQpU6ZMAaBRo0YcPHiQmTNnMnDgQI2jK16zZ8+mS5cuVKxYUbMYpAeoGHh6emIwGEhMTMxVnpiYiK+vr0ZRCS2MGDGCP//8k3Xr1lGpUiWtwyl2dnZ2VK9enSZNmjB16lQaNGjAp59+qnVYxWL37t0kJSXRuHFjbGxssLGxYcOGDXz22WfY2NhgMpm0DrFYubu7U7NmTeLi4rQOpdj4+fnlSfZDQkKsbijwzJkzrFmzhv/85z+axiEJUDGws7OjSZMmxMTEWMrMZjMxMTFWN//BWimKwogRI1iyZAlr166lSpUqWodUIpjNZrKysrQOo1h06NCBAwcOsG/fPsuradOm9OvXj3379mEwGLQOsVilpaVx4sQJ/Pz8tA6l2LRs2TLP8hfHjh0jMDBQo4i0MXfuXLy9venWrZumccgQWDGJjIxk4MCBNG3alObNmxMVFUV6ejqDBw/WOrRikZaWlusvvVOnTrFv3z4qVKhA5cqVNYyseERERDB//nx+//13XF1dLXO/ypUrh6Ojo8bRFY9x48bRpUsXKleuzPXr15k/fz7r169n1apVWodWLFxdXfPM+XJ2dsbDw8Mq5oK9+uqrdO/encDAQOLj45k4cSIGg4HnnntO69CKzSuvvEKLFi2YMmUKzzzzDDt27GDWrFnMmjVL69CKjdlsZu7cuQwcOBAbG41TEE2ePbNSn3/+uVK5cmXFzs5Oad68ubJt2zatQyo269atU4A8r4EDB2odWrG4U90BZe7cuVqHVmyGDBmiBAYGKnZ2doqXl5fSoUMHZfXq1VqHpSlregy+T58+ip+fn2JnZ6f4+/srffr0UeLi4rQOq9j98ccfSt26dRV7e3ulVq1ayqxZs7QOqVitWrVKAZTY2FitQ1F0iqIo2qReQgghhBDakDlAQgghhLA6kgAJIYQQwupIAiSEEEIIqyMJkBBCCCGsjiRAQgghhLA6kgAJIYQQwupIAiSEEEIIqyMJkBBC3IVOp+O3337TOgwhRBGQBEgIUSINGjQInU6X5/XYY49pHZoQogyQvcCEECXWY489xty5c3OV2dvbaxSNEKIskR4gIUSJZW9vj6+vb65X+fLlAXV4asaMGXTp0gVHR0eqVq3K4sWLc11/4MAB2rdvj6OjIx4eHrz44oukpaXlOmfOnDnUqVMHe3t7/Pz8GDFiRK73L1++zJNPPomTkxM1atRg6dKllveuXbtGv3798PLywtHRkRo1auRJ2IQQJZMkQEKIUmv8+PH06tWL/fv3069fP5599lmOHDkCQHp6OuHh4ZQvX56dO3eyaNEi1qxZkyvBmTFjBhEREbz44oscOHCApUuXUr169VyfMXnyZJ555hn+/vtvunbtSr9+/bh69arl8w8fPsyKFSs4cuQIM2bMwNPTs/gaQAjx4LTejVUIIe5k4MCBisFgUJydnXO93n33XUVRFAVQXnrppVzXhIaGKsOGDVMURVFmzZqllC9fXklLS7O8v2zZMkWv1ysJCQmKoihKxYoVlTfeeOOuMQDKm2++aTlOS0tTAGXFihWKoihK9+7dlcGDBxdOhYUQxUrmAAkhSqx27doxY8aMXGUVKlSw/HdYWFiu98LCwti3bx8AR44coUGDBjg7O1veb9myJWazmdjYWHQ6HfHx8XTo0OGeMdSvX9/y387Ozri5uZGUlATAsGHD6NWrF3v27KFz58707NmTFi1aPFBdhRDFSxIgIUSJ5ezsnGdIqrA4Ojrm6zxbW9tcxzqdDrPZDECXLl04c+YMy5cvJzo6mg4dOhAREcFHH31U6PEKIQqXzAESQpRa27Zty3McEhICQEhICPv37yc9Pd3y/ubNm9Hr9QQHB+Pq6kpQUBAxMTEPFYOXlxcDBw7kxx9/JCoqilmzZj3U/YQQxUN6gIQQJVZWVhYJCQm5ymxsbCwTjRctWkTTpk159NFHmTdvHjt27GD27NkA9OvXj4kTJzJw4EAmTZrEpUuXePnll3n++efx8fEBYNKkSbz00kt4e3vTpUsXrl+/zubNm3n55ZfzFd+ECRNo0qQJderUISsriz///NOSgAkhSjZJgIQQJdbKlSvx8/PLVRYcHMzRo0cB9QmtBQsWMHz4cPz8/Pjpp5+oXbs2AE5OTqxatYpRo0bRrFkznJyc6NWrF9OmTbPca+DAgWRmZvLJJ5/w6quv4unpydNPP53v+Ozs7Bg3bhynT5/G0dGRVq1asWDBgkKouRCiqOkURVG0DkIIIQpKp9OxZMkSevbsqXUoQohSSOYACSGEEMLqSAIkhBBCCKsjc4CEEKWSjN4LIR6G9AAJIYQQwupIAiSEEEIIqyMJkBBCCCGsjiRAQgghhLA6kgAJIYQQwupIAiSEEEIIqyMJkBBCCCGsjiRAQgghhLA6kgAJIYQQwur8Pwyu2dwRVXQKAAAAAElFTkSuQmCC\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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IDIykgMHDtCuXTs6duxIfHz8E+sZO3Ysr776KocPH6ZDhw706tWLpKSkfItTCCFEMXYmAvX5rehVKvTlGioWhgyxFYK72myqj1qvyLmPjwvFxiJ//prHjRtHSEiI8b2TkxMBAQHG9+PHj2fFihWsWrXqsSujA/Tt25cePXoAMGHCBL7//nv27NlDu3bt8iVOIYQQxVR2Fmz4FIBzZULwdfRRLBS5giTyrF69ejnep6am8v777+Pn54ejoyOlSpXixIkTT72C5O/vb3xta2uLvb298REeQgghTNiBn+HGKfTWpTnt1knRUOQKUiGwNtdwfFxonsrqdDrupNzBzt4uXx6zYW2ef4/DsLW1zfH+/fffJyIigm+++YZKlSphbW3Nyy+/TGZm5hPrMTc3z/FepVKh0+nyLU4hhBDF0L0U2DwBAF3TD8i6bvuUAwqWJEiFQKVS5XmYS6fTkWWhwcbCrEg9h+xRdu7cSd++fenatStguKJ04cIFZYMSQghRPO2cCmnXwakiurp9Yf3Gpx1RoIr2T2BRpFWuXJk//viDgwcPcujQIXr27ClXgoQQQjy725cgeobhdcg40FgoGw+SIIn/YPLkyZQuXZpGjRrRsWNHQkNDqVu3rtJhCSGEKG4ix0PWPfBpDNVeUDoaQIbYxCP07duXvn37Gt+3aNHikcsF+Pr6smnTphz7hgwZkuP9w0Nuj6onOTn5uWMVQghRzF05AIeXGF63/RyKyEPB5QqSEEIIIZSh18N6w2391HoVvIrOKIQkSEIIIYRQxqm1ELcDzKyg9Silo8lBEiQhhBBCFL5sLUR8ZnjdcDA4eisbz0MkQRJCCCFE4ds3H27Ggo0LNBmudDS5SIIkhBBCiMJ1Nxm2TDS8bjkSrOwVDedRJEESQgghROHaMRnuJoFLFajbV+loHkkSJCGEEEIUnltxsGum4XXIeNAUzRWHJEESQgghROGJHAvZmVC+GVTJ23NKlSAJkhBCCCEKx6V9cPR/gAraflFkFoV8FEmQRL5p0aIF7733nvG9r68vU6dOfeIxKpWKlStX/udz51c9QgghCoheD+s/Mbyu3RM8/JWN5ykkQRIAdOzYkXbt2j3ys+3bt6NSqTh8+PAz1bl3714GDhyYH+EZjRkzhtq1a+faf/XqVdq3b5+v5xJCCJGPTqyCi7vAzBpafap0NE8lCZIAoH///kRERHDp0qVcn82fP5969erh7/9s2X6ZMmWwsbHJrxCfyN3dHUtLy0I5lxBCiGeUlQkRow2vGw0Fe09l48kDSZAEAC+++CJlypRhwYIFOfanpqaybNkyunTpQo8ePfDy8sLGxoZatWrx22+/PbHOh4fYzpw5Q7NmzbCysqJ69epERETkOmbEiBFUq1YNT09PKlWqxGeffYZWqwVgwYIFjB07lkOHDqFSqVCpVMZ4Hx5iO3LkCK1atcLa2hpnZ2cGDhxIamqq8fO+ffvSpUsXvvnmGzw8PHB2dmbIkCHGcwkhhMhHe+fArfNQyg0aD1M6mjwpmvfWlTR6PWjT81ZWpzOUzdSAOh/yV3ObPE2CMzMzo3fv3ixYsIBPPvkE1f1jli1bRnZ2Nq+//jrLli1jxIgR2Nvbs3r1at544w0qVqxIgwYNnlq/TqfjpZdews3Njd27d3P79u0c85UesLOzY968edjb23P+/Hnefvtt7Ozs+PDDD+nevTtHjx5l3bp1bNy4EQAHB4dcdaSlpREaGkpwcDB79+7l2rVrvPXWW4SFheVIADdv3oyHhwebN28mNjaW7t27U7t2bQYMGPDU9gghhMij9CTY+rXhdctPwLKUsvHkkSRIhUGbDhPydjlRDTjm57k/vgIWtnkq+uabbzJp0iS2bt1KixYtAMPwWrdu3fDx8eH99983lh06dCjr16/n999/z1OCtHHjRk6ePMn69evx9DT0xYQJE3LNG/r000/R6XSkpKRQs2ZNzpw5w5IlS/jwww+xtramVKlSmJmZ4e7u/thzLV68mHv37vHzzz9ja2to+/Tp0+nYsSNfffUVbm5uAJQuXZrp06ej0WioVq0aL7zwApGRkZIgCSFEftr2DdxLBtfqUOd1paPJMxliE0bVqlWjUaNGzJs3D4DY2Fi2b99O//79yc7OZvz48dSqVQsnJydKlSrF+vXriY+Pz1PdJ06cwNvb25gcAQQHB+cqt3TpUpo2bUrVqlWxt7fn008/zfM5/n2ugIAAY3IE0LhxY3Q6HadOnTLuq1GjBhqNxvjew8ODa9euPdO5hBBCPMHNs7BntuF12/Gg1jy5fBGi+BWkGTNmMGnSJBISEggICGDatGlPvCKRnJzMJ598wh9//EFSUhI+Pj5MnTqVDh06AIZ5L3FxcbmOGzx4MDNmzAAMt6Nv3bo1x+dvv/02s2bNyseW/Yu5jeFKTh7odDpS7tzB3s4OdX4NsT2D/v37M3ToUGbMmMH8+fOpWLEizZs356uvvuK7775j6tSp1KpVC1tbW9577z0yMzP/e4z3RUdH06tXL8aMGUPjxo3x9PTk999/59tvv823c/ybubl5jvcqlQqdTlcg5xJCCJMUORZ0WqjYGiq1UTqaZ6JogrR06VLCw8OZNWsWQUFBTJ06ldDQUE6dOoWrq2uu8pmZmYSEhODq6sry5cvx8vIiLi4OR0dHY5m9e/eSnZ1tfH/06FFCQkJ45ZVXctQ1YMAAxo0bZ3xfoHdbqVR5HuZCpwPzbEP5/EiQntGrr77KsGHDWLx4MT///DODBg1CpVKxc+dOOnfuzOuvv34/TB2nT5+mevXqearXz8+PixcvcvXqVTw8PADYtWtXjjJRUVH4+Pjw8ccfk5KSgr29fa5k18LCIsff7+POtWDBAtLS0oxXkXbu3IlaraZq1ap5ilcIIcR/FL8Ljv8JKjW0/VzpaJ6ZokNskydPZsCAAfTr14/q1asza9YsbGxsjEM8D5s3bx5JSUmsXLmSxo0b4+vrS/PmzQkICDCWKVOmDO7u7sbt77//Nl4F+TcbG5sc5ezti96ThJVQqlQpunfvzsiRI7l69Sp9+/YFoHLlykRERBAVFcWJEyd4++23SUxMzHO9bdq0oUqVKvTp04dDhw6xfft2PvnkkxxlKleuTHx8PEuWLOH8+fNMmzaNFStW5Cjj6+vL+fPnOXjwIDdu3CAjIyPXuXr16oWVlRV9+vTh6NGjbN68maFDh/LGG28Y5x8JIYQoQP9eFLLO6+CWt1+mixLFriBlZmYSExPDyJEjjfvUajVt2rQhOjr6kcesWrWK4OBghgwZwp9//kmZMmXo2bMnI0aMyDGX5N/n+PXXXwkPDzfelfXAokWL+PXXX3F3d6djx4589tlnT7yKlJGRkeOHcUpKCgBarTbXreFarRa9Xo9Op3vmIRu9Xm/8U6nhnn79+jF37lzat2+Pu7s7Op2Ojz/+mLNnzxIaGoqNjQ0DBgygc+fO3L59O0ecD8f97/f/+9//GDBgAA0aNDAuAdChQwdjP7344ou89957vPvuu2RkZNChQwc+/fRTxo4da6yja9eu/O9//6Nly5YkJyczd+5cYxL3oB4rKyvWrl3L8OHDqV+/PjY2Nrz00kt8++23xnr0ev0jY31Qz+PodDr0ej1arfaR37n88OD7ZMpLDph6H0j7Tbv9UPz7QHXsD8wu70NvbktW0xHwjO0oyPbntU6V/sFPhUJ25coVvLy8iIqKyjFZ98MPP2Tr1q3s3r071zHVqlXjwoUL9OrVi8GDBxMbG8vgwYN59913GT16dK7yv//+Oz179iQ+Pj7H5ODZs2fj4+ODp6cnhw8fZsSIETRo0IA//vjjsfGOGTOGsWPH5tq/ePHiXInVg7usvL29sbCwyFN/iOIhMzOTixcvkpCQQFZWltLhCCFEkaPWZdL6xEfYZN7ghMdLnHbvonRIOaSnp9OzZ09u3779xNGjYpUgValShXv37nH+/Hnjb++TJ09m0qRJXL16NVf50NBQLCws+Ouvv54Yy6ZNm2jdujWxsbFUrFjxkWUedQXJ29ubGzdu5Orge/fucfHiRXx9fbGysnriuR+m1+u5c+cOdnZ2ua56mYqi3Af37t3jwoULeHt7P/PfbV5ptVoiIiIICQnJNZHcVJh6H0j7Tbv9ULz7QB09Dc2msehLuZM1eM8z3ywEBdv+lJQUXFxcnpogKTbE5uLigkajyTWPJTEx8bFr3Hh4eGBubp5jaMPPz4+EhAQyMzNzXK2Ji4tj48aNT7wq9EBQUBDAExMkS0vLRz7KwtzcPNdfXnZ2NiqVCrVa/cx3oj0Y3nlwvCkqyn2gVqtRqVSP/HvPb4VxjqLO1PtA2m/a7Ydi2AdpN2HnVABUrUdhbpN7Md9nURDtz2t9iv30sbCwIDAwkMjISOM+nU5HZGTkI9fHAcNaNrGxsTnmiJw+fRoPD49cQ1nz58/H1dWVF1544amxHDx4EMB4d5UQQgghnsPWLyHjNrjXgoAeSkfznyj663l4eDhz5sxh4cKFnDhxgkGDBpGWlka/fv0A6N27d45J3IMGDSIpKYlhw4Zx+vRpVq9ezYQJExgyZEiOenU6HfPnz6dPnz6YmeW8SHb27FnGjx9PTEwMFy5cYNWqVfTu3ZtmzZo988NYhRBCCHHfjTOw7/5d6G2/UGSpmvyk6DpI3bt35/r164waNYqEhARq167NunXrjLdix8fH5xhi8fb2Zv369QwfPhx/f3+8vLwYNmwYI0aMyFHvxo0biY+P580338x1TgsLCzZu3MjUqVNJS0vD29ubbt268emnn+Z7+xSa3iUKkPydCiHEY0SMBl0WVGkHFZo/vXwRp/hK2mFhYYSFhT3ysy1btuTaFxwcnGuBwYe1bdv2sT/IvL29c62ind8ejG+mp6djbW1doOcShSs93fDQ4WI1J0AIIQrahR1wajWoNBAy7unliwHFE6SSSKPR4OjoaHyul42NTZ7vxtLpdGRmZnLv3r0iN0G5sBTFPtDr9aSnp3Pt2jUcHR0LbA0kIYQodnQ6WP+x4XVgXyhTMp5YIAlSAXlwJ96zPvxUr9dz9+5drK2ti9wt7oWlKPeBo6PjY++yFEIIk3RkGVw9BBZ20GLk08sXE5IgFRCVSoWHhweurq7PtBKoVqtl27ZtNGvWzGSHcYpqHzy8xIQQQpg87V2IvD+k1jQcSpVRNp58JAlSAdNoNM/0Q1Wj0ZCVlYWVlVWRSg4Kk/SBEEIUE9EzIOUSOHhDw0FKR5OvisYEDyGEEEIUL6nXYMcUw+vWo8C8ZN2UJAmSEEIIIZ7dlomQmQqedaDmy0pHk+8kQRJCCCHEs7l2EmIWGF6XgEUhH6XktUgIIYQQBSviM9DroNqL4NtY6WgKhCRIQgghhMi7s5vhzAZQm0GbsUpHU2AkQRJCCCFE3uiyYcNnhtf13wKXSsrGU4AkQRJCCCFE3hz6DRKPgKUDNPtQ6WgKlCRIQgghhHi6zDSIHG943ex9sHVWNp4CJgmSEEIIIZ4uajqkJoCjDwS9rXQ0BU4SJCGEEEI82Z0E2Pmd4XWbMWBmqWg4hUESJCGEEEI82abPQZsGZetDja5KR1MoJEESQgghxOMlHIUDvxpet/0CVCpl4ykkkiAJIYQQ4vEiPgP0UL0LlAtSOppCIwmSEEIIIR7tzEY4uwnU5oa5RyZEEiQhhBBC5JadBRs+NbwOehucyisbTyGTBEkIIYQQuR34Ba6fAOvShnWPTIwkSEIIIYTIKeMObJ5geN18hCFJMjGSIAkhhBAip53fQdo1cKoA9forHY0iJEESQgghxD9uXzasmg3QZiyYWSgbj0IkQRJCCCHEPzaNh6y7UK4R+HVUOhrFSIIkhBBCCIMrB+HQEsPr0M9NZlHIR5EESQghhBCg19+/rV8PtV4Br0ClI1KUJEhCCCGEgNPr4MJ20FhC61FKR6M4SZCEEEIIU5ethQ2fGV43HASO5ZSNpwiQBEkIIYQwdTEL4OYZsHGGpuFKR1MkSIJUxMQnpXPghgq9Xq90KEIIIUzBvduwZaLhdYuRYOWgbDxFhCRIRYher+ezVcdZcEbDO4sOcvX2XaVDEkIIUdJtnwzpN8G5MgT2VTqaIkMSpCIkW6cnsJwjGpWeTaeuEzJ5Gz9HX0Cnk6tJQgghCkByPOyaaXjddjxozJWNpwhRPEGaMWMGvr6+WFlZERQUxJ49e55YPjk5mSFDhuDh4YGlpSVVqlRhzZo1xs/HjBmDSqXKsVWrVi1HHffu3WPIkCE4OztTqlQpunXrRmJiYoG071mYadS826oSH/hnU8fbgdSMLEb9eYxXfozmTOIdpcMTQghR0kSOg+wM8G0KVdopHU2RomiCtHTpUsLDwxk9ejT79+8nICCA0NBQrl279sjymZmZhISEcOHCBZYvX86pU6eYM2cOXl5eOcrVqFGDq1evGrcdO3bk+Hz48OH89ddfLFu2jK1bt3LlyhVeeumlAmvns/KwgSVvNWBc5xrYWmiIibtFh++3M3XjaTKyspUOTwghRElwKQaOLANUEPqFSS8K+ShmSp588uTJDBgwgH79+gEwa9YsVq9ezbx58/joo49ylZ83bx5JSUlERUVhbm64DOjr65urnJmZGe7u7o885+3bt5k7dy6LFy+mVatWAMyfPx8/Pz927dpFw4YN86l1/41araJ3sC9t/Nz4bOVRIk9eY+rGM6w+fJUvu9Ui0MdJ6RCFEEIUV3o9bPjE8DrgNfAIUDaeIkixBCkzM5OYmBhGjhxp3KdWq2nTpg3R0dGPPGbVqlUEBwczZMgQ/vzzT8qUKUPPnj0ZMWIEGo3GWO7MmTN4enpiZWVFcHAwEydOpFw5w5oOMTExaLVa2rRpYyxfrVo1ypUrR3R09GMTpIyMDDIyMozvU1JSANBqtWi12ufviIc8qOvBn2VszZjZM4A1RxMZv/okZ66l8vKsaHo18Ca8TWXsrBTNcQvEw31gaky9/SB9IO037fZDwfeB6uRqzOKj0ZtZk9VsJBSxvi7I9ue1TsV+ut64cYPs7Gzc3Nxy7Hdzc+PkyZOPPObcuXNs2rSJXr16sWbNGmJjYxk8eDBarZbRo0cDEBQUxIIFC6hatSpXr15l7NixNG3alKNHj2JnZ0dCQgIWFhY4OjrmOm9CQsJj4504cSJjx47NtX/Dhg3Y2Ng8Y+ufLiIiIsd7FfB/fvBnnJrd19X8uvsifx2I59XyOmo6lcxJ3A/3gakx9faD9IG037TbDwXTBypdFq1OjqQUcNo5hJM7DgIH8/08+aEg2p+enp6ncsXq8oNOp8PV1ZXZs2ej0WgIDAzk8uXLTJo0yZggtW/f3lje39+foKAgfHx8+P333+nfv/9zn3vkyJGEh/+zeFZKSgre3t60bdsWe3v752/UQ7RaLREREYSEhBiHEf/tFSDq7E0+/fM4F2/dZc4pDR1quvHZC9VwKWWZb3Eo6Wl9UNKZevtB+kDab9rth4LtA/WeH9EcSkRv60qFN76jgqVdvtafHwqy/Q9GgJ5GsQTJxcUFjUaT6+6xxMTEx84f8vDwwNzcPMdwmp+fHwkJCWRmZmJhYZHrGEdHR6pUqUJsbCwA7u7uZGZmkpycnOMq0pPOC2BpaYmlZe4ExNzcvED+AT+p3ubV3NlQoQxTI0/z0/bzrDmayM6zSXzygh+vBJZFVUIm2hVU3xYXpt5+kD6Q9pt2+6EA+uDuLdjxDQCqlh9jXqpoz2ctiO9AXutT7C42CwsLAgMDiYyMNO7T6XRERkYSHBz8yGMaN25MbGwsOp3OuO/06dN4eHg8MjkCSE1N5ezZs3h4eAAQGBiIubl5jvOeOnWK+Pj4x563KLK20DCyvR9/DmlMTS97bt/V8uHyw/T6aTcXbqQpHZ4QQoiiaNs3hiSpjB/UeUPpaIo0RW/zDw8PZ86cOSxcuJATJ04waNAg0tLSjHe19e7dO8ck7kGDBpGUlMSwYcM4ffo0q1evZsKECQwZMsRY5v3332fr1q1cuHCBqKgounbtikajoUePHgA4ODjQv39/wsPD2bx5MzExMfTr14/g4OAicwfbs6jp5cDKwY35uEM1rMzVRJ29SejUbczaepasbN3TKxBCCGEaks7DntmG120/B02xmmVT6BTtne7du3P9+nVGjRpFQkICtWvXZt26dcaJ2/Hx8ajV/+Rw3t7erF+/nuHDh+Pv74+XlxfDhg1jxIgRxjKXLl2iR48e3Lx5kzJlytCkSRN27dpFmTJljGWmTJmCWq2mW7duZGRkEBoayg8//FB4Dc9nZho1A5tVJLSGO5+sOMqO2Bt8ufYkfx26wlfd/KnpJc/VEUIIk7dxDGRnQoWWUKm10tEUeYqnj2FhYYSFhT3ysy1btuTaFxwczK5dux5b35IlS556TisrK2bMmMGMGTPyHGdx4ONsyy/9G/C//ZcZ//dxjl1JodP0HbzVtALD21TB2kLz9EqEEEKUPPG74fhKQGW4elRC5qoWJMUfNSLyl0ql4uXAsmwMb07HAE90epi97Rxtp25l+5nrSocnhBCisP17Ucg6r4N7TWXjKSYkQSqhythZMq1HHeb1rYengxUXk+7yxtw9/N/vh7iVlql0eEIIIQrLsRVwaS+Y20CrT5WOptiQBKmEa1XNjQ3hzenbyBeVCv63/xJtJm9l1aEr6PUlc4FJIYQQ92VlGOYeATQeBnaPX85G5CQJkgkoZWnGmE41+N+gRlRxK8XNtEze/e0Aby7Yy+Xku0qHJ4QQoqDsmQ3JcWDnAY2GKh1NsSIJkgmpW640fw9tSnhIFSw0ajafuk7I5K0s2HmebJ1cTRJCiBIlPQm2TTK8bvUpWNgqG08xIwmSibEwU/Nu68qsGdaE+r6lSc/MZsxfx+k2M4pTCXeUDk8IIUR+2foV3LsNbrUgoIfS0RQ7kiAVNbrsQjlNJVc7lg4M5vMuNSllacbBi8m8OG07kzecIiOrcGIQQghRQG7Ewt6fDK/bjge1LPPyrCRBKmLUm8fT/OSnqLd/A9dOGG7PLKhzqVW83tCHjeHNCanuhjZbz/ebYunw3Xb2XkgqsPMKIYQoYBtHgy4LKreFii2VjqZYkgSpiFGfWYfj3Xg0276EHxrC9HqGOxAuxxRYsuTuYMXsNwKZ2asuZewsOXs9jVdmRfPJiiOk3NMWyDmFEEIUkAs74eTfoNJAyHiloym2JEEqYrJ6r+ZAubfQVWoLGgu4GQs7psCcVjClJqwdYfjy5/NQnEqlon0tDzYOb06PBt4ALNodT8jkrWw4lpCv5xJCCFFAdLp/FoUM7AOu1ZSNpxiTBKmosXEm3rkZ2d0Xwwdn4eV5UKMrmNtCyiXYPQsWdIBvqsCqd+HMRsjKv4UfHWzMmfiSP78NaEh5F1sSUzIY+EsMgxfFcC3lXr6dRwghRAE4uhyuHACLUtBi5NPLi8dS/Fls4gms7KFmN8OmvQtnN8OJv+DUGki/AfsXGjZLB6gSCn4dDQ8gzIdbOYMrOrN2WFO+jzzD7G3nWHMkge1nbvBJBz+61/dGJc/xEUKIokV7FyLHGV43GQ6lXJWNp5iTBKm4MLeGah0MW7YWLuwwJEsn/4bURDjyu2Ezs4bKbcCvk2FynrXjc5/SylzDh+2q8aK/Jx/9cZjDl27z0R9HWHHgMhNfqkWFMqXyr31CCCH+m10z4fZFsC8LwUOUjqbYkyG24khjbrgr4cXJEH4S3twAwWHgWA6y7hoSpz8GwKRK8Gs3iFkAqc//oNrqnvasGNyYT1/ww9pcw+7zSbT7bjszNseizdblX7uEEEI8n9TrsH2y4XXrUYZfqsV/IglScadWQ7kgCP0Chh2Gt7dBsw+gTDXQaSF2I/w1DL6tAvM73P8N49Izn0ajVvFW0wpsGN6MppVdyMzSMWn9KTpO28Ghi8n53y4hhBB5t2UiZN4Bj9pQ6xWloykRJEEqSVQq8AgwLCk/ZDcM2Wv4TcKzDuh1ELcT1n0EU2rA7JaG3zZuxD7TKbydbPj5zQZM6R5AaRtzTibcoesPOxn/93HSM7MKqGFCCCEe6/opw0gBGH5ZVsuP9vwgvViSlakCTf8PBm6B945A6EQo1whQwZX9EDkWpgfCjIaw6Qu4ejhPay2pVCq61inLxvDmdK3jhU4Pc3ecp+2UbWw9/fxDeUIIIZ5DxCjQZ0PVF8C3idLRlBgySdtUOJaD4MGGLfUanFxtmKt0fitcP2HYtn0NpX0Nd8P5dQKvek/8TcS5lCVTutemc21PPllxlEu37tJn3h5equPFpy9Wx8nWovDaJ4QQpujcVji9DtRmEDJO6WhKFLmCZIpKuUK9fvDGH4a1lrrOhmovGu6Au3UBoqbB3BCY7Aer/w/ObTHcOfcYLaq6smF4M95sXB61Cv44cJk2k7ey8sBl9AX4qBQhhDBpuux/FoWs9ya4VFI2nhJGriCZOmtHCOhu2DLTIDbScGXp9DpITTA87HDvT2BdGqp2MFxdqtASzK1yVGNracaojtXpVNuTj/53mJMJd3hv6UH+OHCZL7rUxNvJRpn2CSFESXV4KSQcMayF1/wjpaMpceQKkviHhS1U7wTd5sAHsdBrOdTtDTbOcPcWHFwEv70GkyrCsr5w9H+QcSdHFbW9HflraBM+CK2KhZmabaev03bKNubuOE+2Tq4mCSFEvshMh8j7z1lr9n9g66xsPCWQJEji0cwsoXIIdJoG/3ca+q6GoHfA3gsyU+HYClj+JnxdERa/BgcWQXoSAOYaNUNaVmLdsKYElXfirjab8X8f56UfdnLiaorCDRNCiBIgejrcuWKYX9rgbaWjKZFkiE08ncbMcGeEbxNo96XhDrjjq+DEKkg6B6fXGjaVxlDGryNUe5EKZTz4bUBDlu67yIQ1Jzh06TYdp+3g7eYVGNqqMlbmGqVbJoQQxc+dRNgx1fC69ehcUx5E/pArSOLZqFTgFQghY2HofhgUDS0+BrdahttMz2+FNe/D5GrwUwjqXdPpUSmbyPDmtK/pTpZOz4zNZ+nw3XZ2nbupdGuEEKL42fwFaNMMdxrX7KZ0NCWWXEESz0+lArfqhq3FCMPVpBN/GyZ5X9rzz7bhU1zdazHTrxM7ygcTvvke526k8drsXfRo4M1H7f1wsDZXujVCCFH0JR6HA78YXodOMPw/LAqEJEgi/zhVgMbvGraUK/fXWloFF3Ya7rRIOEITINqpItudgpl8sSq/7dETeeIa4zrXoF1ND6VbIIQQRduGTw1PRqje2fCYKVFgJEESBcPeExoMMGxpNw1zlE78BWc3oUk6SwvO0sISElUurL5bj3mL6rPSryljuwTgZC1zk4QQIpfYjXA2EtTm0GaM0tGUeJIgiYJn6wx1Xjds91IgNuL+WksbcNPe4E2zdbxpto4bZ+3Z8m19HAO7Yn0v3TBkZ24BKvUTNtX97TGfo8pZTgghiiNdNmwYZXjdYKDhir0oUJIgicJlZW+YVFizG2jvwtnNcOIvsk+uxiXjNi8TCfsjDWVP5PfJH5dIqR7683FJ1hPK5GMdGj3Uv3YdzYoVhrtT1GagMQeNxUOvzQ13GD7T6/vb016rzeWBl0IUJQd+hWvHwMoRmr2vdDQmQRIkoRxza6jWAap1QJOtJfv8Dk5vWYTDxc2UIh21So+VBsxUGMbc0Rv+fLA9M73hTjt9dj43JH+pAU+A5L3KBqLSGBIrjfn9xCy/Xz8+SVOpzbHJuJmnhycLUeJlpBruXANoPgJsnJSNx0RIgiSKBo05mkot8avUktiE2/T8aTsXUg1DYh0DPPm8c00cbB66003/UMKU6/1D+x9OsHKVedLn98s8sY481GM8/vGxZmVpOXbkEDX9qqJBB9mZoMsy/JmtfY7XWsOfD7/+93vdI561p8+GrLuGrZCZASGA/tJUKN8MyjcF36bg6F3osQihuKjvITURSpeH+m8pHY3JkARJFDk+zja8WzObOJuqTN9yjr8OXWHv+SS+fTWAxpVc/imoUhmuclCyJnXrtVouJKyheoMOaMwLafkDvf5+UqX9V0L2qNdayM56zOtHJGG6+8dlZz3Ta93d23D1MOqUS3BosWEDKO1rSJTKNzP8aS93PooSLuUq7Pze8DpkLJhZKBuPCVE8QZoxYwaTJk0iISGBgIAApk2bRoMGDR5bPjk5mU8++YQ//viDpKQkfHx8mDp1Kh06dABg4sSJ/PHHH5w8eRJra2saNWrEV199RdWqVY11tGjRgq1bt+ao9+2332bWrFkF00jxzDQqCGtZkVZ+7gxfepBzN9Lo9dNu3mxcng/bVZVVuPObSvXPEBfKP1g4W6tl/V9/0K66I2YXo+DCdrhyEG5dMGwP1oFxrnQ/Ybp/hamUq4JRC5H/NFsnGK7iejcEv05Kh2NSFE2Qli5dSnh4OLNmzSIoKIipU6cSGhrKqVOncHXN/R9dZmYmISEhuLq6snz5cry8vIiLi8PR0dFYZuvWrQwZMoT69euTlZXFxx9/TNu2bTl+/Di2trbGcgMGDGDcuHHG9zY2yv9QELkFeDvy97tNmLDmBL/uimfezvPsiL3O1O51qO5pr3R4ogBla6zQV2wF1UINO+6lQHw0nN8GF3bA1UNwM9awxcw3lClT7Z+EyaeJPMBTFGv26XGoTi0xvAn9Qu7ELWSKJkiTJ09mwIAB9OvXD4BZs2axevVq5s2bx0cffZSr/Lx580hKSiIqKgrz+0MPvr6+OcqsW7cux/sFCxbg6upKTEwMzZo1M+63sbHB3d09n1skCoKNhRmfd6lF62pufLD8MKcTU+k8Ywf/17YqA5pWQKOW/zRMgpU9VAk1bAB3kyHu/tWl89sh8QhcP2nY9s4xlHGr+a+EqRFYl1YsfCGeiV5Pzcu/oUJvuOu3bD2lIzI5iiVImZmZxMTEMHLkSOM+tVpNmzZtiI6OfuQxq1atIjg4mCFDhvDnn39SpkwZevbsyYgRI9BoHj3kcvv2bQCcnHLO+l+0aBG//vor7u7udOzYkc8+++yJV5EyMjLIyMgwvk9JMTyVXqvVotU+YoLrc3pQV37WWdw8rg+aVCzN32HBfPbncSJOXOPLtSeJPJHIpG418XK0ViLUAiHfgTz2gZktVAwxbADpSajio1DF7UAdtwPV9ZOQeNSw7Z6JHhW410Ln0wS9TxP05YLB0q4QWvPsTP07YOrtB8g+tY4yqcfRayzJav4JmFhfFOR3IK91qvR6Ze6jvXLlCl5eXkRFRREcHGzc/+GHH7J161Z2796d65hq1apx4cIFevXqxeDBg4mNjWXw4MG8++67jB49Old5nU5Hp06dSE5OZseOHcb9s2fPxsfHB09PTw4fPsyIESNo0KABf/zxx2PjHTNmDGPHjs21f/HixTI8V8j0eth9XcUf59Vk6FRYafS8XF5HPRe9XIEWRhbaFFxSTxi2Oyewy7ia43Mdam7b+HKjlB/X7fxIsq1Ctkaeil7YVPosbDOuUyrjKqXu3d8yrmKdeRMVekNii2GhV8MPK8N7vfEfu+p+Ge6XUT12H3D/uPuvjfU+VNdD+wzHqf85BhWoyHku1b9iA1Cp/xXvw+f61/lUAP8qe7+drneOYZN5gzOuL3Dcq/t/62SRQ3p6Oj179uT27dvY2z9+qkaxSpCqVKnCvXv3OH/+vPGK0eTJk5k0aRJXr17NVX7QoEGsXbuWHTt2ULZs2cfGsmnTJlq3bk1sbCwVK1Z8ZJlHXUHy9vbmxo0bT+zgZ6XVaomIiCAkJMQ4jGhq8toH8UnpfPC/o+yPTwagfQ03xnWqjuPDywEUM/IdKKA+uHMVVdxOw9WluJ2obp3P8bFebYbes67h6pJPE/Rl6xvW6lJAifwOpCehunkGbsaiunkG1c1YVEmxcOsCKl2W0tEVSRmaUmQP2Ye5ncvTC5cwBflvICUlBRcXl6cmSIoNsbm4uKDRaEhMTMyxPzEx8bFzgzw8PDA3N88xnObn50dCQgKZmZlYWPxz+2NYWBh///0327Zte2JyBBAUZHjg35MSJEtLSywtLXPtNzc3L5D/wAqq3uLkaX1Q0c2B398OZtbWs0zdeIa1xxLZfzGZb14JoGnlMoUYacGQ70A+94FTOcNWp4fh/e1LhrlL9+cwqW7Ho7q0By7tgZ2TDQtalq3/zxymsvXBLPf/AQWp2H0HsrWGuwxvnIEbp+Hmmfuvz8DdpMcfZ24LLpXAuTK4VCardAV2HrtEoybNMDfT/LO+GA/9aVxb7OHPdI8pn8c6cuzjKfU+7ly6h459tnizs7OJTrCmsZ1L8foO5LOC+DeQ1/oUS5AsLCwIDAwkMjKSLl26AIYhscjISMLCwh55TOPGjVm8eDE6nQ71/ccgnD59Gg8PD2NypNfrGTp0KCtWrGDLli2UL1/+qbEcPHgQMCRgongx06gJa1WZZlXK8N7Sg5y7nsYbc/fQt5EvH7WvJssBiMdzKAu1exg2MPxg/1fCxJ0rELfTsG39EsyswLsB+N5fuNKzrumuSZOeZEiAbpzJmQTdOm9YN+txHLwNSzO4VAGXyv+8tvfMcYeWXqsl+cIa8AgAE00OdFott9esUToMk6boXWzh4eH06dOHevXq0aBBA6ZOnUpaWprxrrbevXvj5eXFxIkTAcOQ2fTp0xk2bBhDhw7lzJkzTJgwgXfffddY55AhQ1i8eDF//vkndnZ2JCQkAODg4IC1tTVnz55l8eLFdOjQAWdnZw4fPszw4cNp1qwZ/v7+hd8JIl/4l3Vk9dCmTFx7gp+j41gQdYGdsTeY0r02Nb0clA5PFAelfQ1b3TcMv8Unnbu/pMD9hCntmuH9+W2wGTC3gXINDVeYfJuCZx3Dc+9KikdeDYo1vH6Gq0GGRKgyOFcEC9vHHydEEaPov+bu3btz/fp1Ro0aRUJCArVr12bdunW4ubkBEB8fb7xSBODt7c369esZPnw4/v7+eHl5MWzYMEaMGGEsM3PmTMCwGOS/zZ8/n759+2JhYcHGjRuNyZi3tzfdunXj008/LfgGiwJlbaFhXOeatKrmygfLD3PmWipdf9jJ8JAqvN2soiwHIPJOpTL8QHeuCPX6GRKmG6f/SZgu7ID0m3B2k2EDsCgF5YL/WbTSIwDUxeAKZgFfDRKiuFL8152wsLDHDqlt2bIl177g4GB27dr12PqeNufc29s71yraomRpUdWV9e814+M/jrDuWAJfrzvFlpPX+fbVALyd5I5D8RxUKihT1bA1GAA6HVw/8c+Q3IUdcC8ZYiMMG4ClA/g2/mcOk2sN+NcvfIXqv1wNcq74TxIkV4OECVE8QRKiIDjZWjDz9bosj7nE2L+Os+dCEu2/286YTjXoVtcLlfyGK/4LtRrcahi2hu8YEqbEI/8kTHFRkHEbTq0xbGBYpNKn8T/PkXP1y/8rLXI1SIh8IwmSKLFUKhWv1POmYQVnhi89yL64W7y/7BCRJxKZ0LUWpW1NdIKtyH9qtWFIzSMAGoUZHrybcPif+Uvx0XD3Fpz827AB2LiAb5P7Q3LNDIlJXpIRuRokRKGQBEmUeN5ONiy9vxzAlIjTrD2aQEzcLSa9EkDzKsV/OQBRBGnMwKuuYWs8zJDUXDkIF7bdT5h2QfoNOL7SsAGUcv8nYSobjHnWHVQXd0PyebkaJIQCJEESJkGjVjGkZSWa318OIPZaKn3m7aFPsA8ftffD2qIYTKYVxZfGHLzrG7am/wdZmXA55v4Vpm1wcQ+kJsDR5XB0OeZAB4Ajj6nP3ObRSZBcDRIi30iCJExKTS8H/h7ahC/XnmRB1AUWRsexI/YG371WR5YDEIXHzAJ8gg1b8w9Bew8u7TUOyekv7UWl06K3L4vqwXCYSxW5GiREIZIESZgcK3MNYzrVoGU1Vz5Ydoiz19PoMsOwHMA7zWU5AKEAcyvD0Fr5ptASsu7eYf26tYS+2NWkV1EWQkkK3XMqhPKaVynD+vea0aGWO1k6PZPWn+LVH6OJv5mudGjC1JlZka0u3MeaCCFykgRJmLTSthbM6FmXb18JoJSlGTFxt2j/3TZ+33fxqWtqCSGEKLkkQRImT6VS0S2wLGuHNaWBrxNpmdl8uPww7/waQ1JaptLhCSGEUIAkSELc5+1kw28DGzKiXTXMNSrWH0skdOo2Np+6pnRoQgghCpkkSEL8i0atYlCLiqwY3JjKrqW4fieDfvP38tnKo9zNzFY6PCGEEIVEEiQhHqGmlwN/DW1Cv8a+APyyK44Xvt/OoYvJisYlhBCicEiCJMRjWJlrGN2xBr/0b4CbvSXnbqTRbWYU30eeIStbp3R4QgghCpAkSEI8RdPKhuUAXvD3IEunZ3LEaV79MZq4m2lKhyaEEKKASIIkRB442lgwvUcdpnQPwM7SjP3xybT/bjtL9sTLcgBCCFECSYIkRB6pVCq61inL2veaElTeifTMbD764wgDf4nhZmqG0uEJIYTIR5IgCfGMypa2YfGAhoxsb1gOIOJ4IqFTt7PpZKLSoQkhhMgnkiAJ8Rw0ahVvN6/In0OaUMWtFDdSM3hzwT4+WXGE9MwspcMTQgjxH0mCJMR/UN3TnlVhTejfpDwAi3bH88L3OzgoywEIIUSxJgmSEP+RlbmGz16szqK3gnC3t+L8/eUApm48LcsBCCFEMSUJkhD5pHElF9a/14yOAZ5k6/RM3XiGl2dFc/6GLAcghBDFjSRIQuQjBxtzpvWow3ev1cbOyoyDF5Pp8N12Fu+W5QCEEKI4kQRJiALQubYX695rRnAFZ+5qs/l4xREG/LyPG7IcgBBCFAuSIAlRQLwcrVn0VhCfdPDDQqNm44lrhE7ZxsbjshyAEEIUdZIgCVGA1GoVA5pV4M+wxlRzt+NmWiZv/byPkX8cJi1DlgMQQoiiShIkIQqBn4c9K4c0ZkDT8qhU8Nuei7zw/Xb2x99SOjQhhBCPIAmSEIXEylzDJy8YlgPwdLDiws10XpkVzeSI02hlOQAhhChSJEESopA1qujC2vea0bm2YTmA7yPP8PLMKM5dT1U6NCGEEPdJgiSEAhyszfnutTp836MO9lZmHLp0mxe+38Gvu+JkOQAhhCgCJEESQkGdAjxZ914zGlU0LAfw6cqjDPz1ACmZSkcmhBCmTRIkIRTm6WjNr/2D+PQFPyzM1Gw5fYOJBzVMjYyVdZOEEEIhkiAJUQSo1SrealqBv8KaUM3djvRsFTO2nKPxl5v4eMUReVyJEEIUMsUTpBkzZuDr64uVlRVBQUHs2bPnieWTk5MZMmQIHh4eWFpaUqVKFdasWfNMdd67d48hQ4bg7OxMqVKl6NatG4mJsnifUF5VdztWDmpIvyrZ+HvZk5GlY/HueFp9u4V3fomRZQGEEKKQKJogLV26lPDwcEaPHs3+/fsJCAggNDSUa9euPbJ8ZmYmISEhXLhwgeXLl3Pq1CnmzJmDl5fXM9U5fPhw/vrrL5YtW8bWrVu5cuUKL730UoG3V4i80KhV1HbWs/ztIJYMbEiraq7o9bDuWAIv/RDFK7Oi2Hg8EZ1OJnMLIURBMVPy5JMnT2bAgAH069cPgFmzZrF69WrmzZvHRx99lKv8vHnzSEpKIioqCnNzcwB8fX2fqc7bt28zd+5cFi9eTKtWrQCYP38+fn5+7Nq1i4YNGxZgi4XIO5VKRcMKzjSs4MzpxDvM2XaOlQcvs/fCLfZe2EfFMrYMbFaBLnW8sDTTKB2uEEKUKM+VIF28eBGVSkXZsmUB2LNnD4sXL6Z69eoMHDgwT3VkZmYSExPDyJEjjfvUajVt2rQhOjr6kcesWrWK4OBghgwZwp9//kmZMmXo2bMnI0aMQKPR5KnOmJgYtFotbdq0MZapVq0a5cqVIzo6+rEJUkZGBhkZ/0yYTUlJAUCr1aLVavPU5rx4UFd+1lncmHofPKr95Z2smNClOu+2qsDP0fH8tvcSZ6+nMeJ/R/hm/Sl6NyxHjwbeOFibKxV2vpLvgLT/33+aIlPvg4Jsf17rfK4EqWfPngwcOJA33niDhIQEQkJCqFGjBosWLSIhIYFRo0Y9tY4bN26QnZ2Nm5tbjv1ubm6cPHnykcecO3eOTZs20atXL9asWUNsbCyDBw9Gq9UyevToPNWZkJCAhYUFjo6OucokJCQ8Nt6JEycyduzYXPs3bNiAjY3NU9v7rCIiIvK9zuLG1Pvgce2vCXzmD1HXVGy5quZ6aibfboxl+qYzBLvpae6hw8mycGMtKPIdkPabOlPvg4Jof3p6ep7KPVeCdPToURo0aADA77//Ts2aNdm5cycbNmzgnXfeyVOC9Dx0Oh2urq7Mnj0bjUZDYGAgly9fZtKkSYwePbpAzvnAyJEjCQ8PN75PSUnB29ubtm3bYm9vn2/n0Wq1REREEBISYhxGNDWm3gd5bf9LQGaWjtVHEvhpxwVOX0tly1UV2xM1vFDTnbea+OLnYVd4gecj+Q5I+025/SB9UJDtfzAC9DTPlSBptVosLQ2/om7cuJFOnToBhqGqq1ev5qkOFxcXNBpNrrvHEhMTcXd3f+QxHh4emJubo9H8M9/Cz8+PhIQEMjMz81Snu7s7mZmZJCcn57iK9KTzAlhaWhrb/G/m5uYF8uUtqHqLE1Pvg7y039wcXm3gwyv1y7H19HVmbztH1NmbrDp8lVWHr9K0sgtvN6tI40rOqFSqQoo8/8h3QNpvyu0H6YOCaH9e63uuu9hq1KjBrFmz2L59OxEREbRr1w6AK1eu4OzsnKc6LCwsCAwMJDIy0rhPp9MRGRlJcHDwI49p3LgxsbGx6HT/PNjz9OnTeHh4YGFhkac6AwMDMTc3z1Hm1KlTxMfHP/a8QhR1KpWKFlVdWTygIX+FNeFFfw/UKth+5gavz93NC9/v4M+Dl8mSh+IKIUSePFeC9NVXX/Hjjz/SokULevToQUBAAGCYRP1g6C0vwsPDmTNnDgsXLuTEiRMMGjSItLQ04x1ovXv3zjHhetCgQSQlJTFs2DBOnz7N6tWrmTBhAkOGDMlznQ4ODvTv35/w8HA2b95MTEwM/fr1Izg4WO5gEyVCrbIOTO9Zl60ftKRvI1+szTUcv5rCsCUHaT5pC/N2nCctI0vpMIUQokh7riG2Fi1acOPGDVJSUihdurRx/8CBA59pwnL37t25fv06o0aNIiEhgdq1a7Nu3TrjJOv4+HjU6n9yOG9vb9avX8/w4cPx9/fHy8uLYcOGMWLEiDzXCTBlyhTUajXdunUjIyOD0NBQfvjhh+fpCiGKLG8nG8Z0qsGw1pX5ZVccC6MucDn5LuP+Ps53kWd4vWE5+jTyxdXOSulQhRCiyHmuBOnu3bvo9XpjchQXF8eKFSvw8/MjNDT0meoKCwsjLCzskZ9t2bIl177g4GB27dr13HUCWFlZMWPGDGbMmPFMsQpRHJW2teDd1pUZ2KwC/9t/iTnbznHhZjozNp9lzvbzvFTHiwHNKlCxTCmlQxVCiCLjuYbYOnfuzM8//wwYHv0RFBTEt99+S5cuXZg5c2a+BiiEyB9W5hp6BfkQ+X8tmPV6XeqUcyQzS8eSvRdp/e1WBvy8j30XkpQOUwghioTnSpD2799P06ZNAVi+fDlubm7ExcXx888/8/333+drgEKI/KVRq2hX04M/BjVi2TvBtPEzDD9HHE/k5VnRvPTDTtYdTZBHmQghTNpzDbGlp6djZ2dYX2XDhg289NJLqNVqGjZsSFxcXL4GKIQoGCqVivq+TtT3dSL22h3mbDvPigOX2R+fzDu/xlDBxZa3mlbgpbpeWJnLo0yEEKblua4gVapUiZUrV3Lx4kXWr19P27ZtAbh27Vq+LpoohCgclVzt+Oplf3aMaMngFhWxtzLj3I00Pl5xhCZfbWJa5BmS0zOVDlMIIQrNcyVIo0aN4v3338fX15cGDRoY1w/asGEDderUydcAhRCFx9Xeig/bVSNqZGs+fcEPTwcrbqRm8m3EaRp9uYkxq45xMSlvy/QLIURx9lxDbC+//DJNmjTh6tWrxjWQAFq3bk3Xrl3zLTghhDJKWZrxVtMK9Gnky+rDV/lx2zlOXE1hQdQFftkVR4daHrzdrAI1vRyUDlUIIQrEcyVIYHhkh7u7O5cuXQKgbNmyz7RIpBCi6DPXqOlSx4vOtT3ZEXuDH7eeY0fsDf46dIW/Dl2hcSVnBjarSLPKLsXyUSZCCPE4zzXEptPpGDduHA4ODvj4+ODj44OjoyPjx4/P8RgQIUTJoFKpaFq5DL++FcTfQ5vQubYnGrWKnbE36TNvD+2/284f+y+hlUeZCCFKiOdKkD755BOmT5/Ol19+yYEDBzhw4AATJkxg2rRpfPbZZ/kdoxCiCKnp5cB3r9Vh6wct6NfYFxsLDScT7hD++yGafb2Zn7afI1UeZSKEKOaea4ht4cKF/PTTT3Tq1Mm478GjPwYPHswXX3yRbwEKIYqmsqVtGN3R8CiTRbvjmb/zAldv3+Pz1Sf4LvIMvYJ86NfYFzd7eZSJEKL4ea4rSElJSVSrVi3X/mrVqpGUJCvxCmFKHG0sGNKyEjtGtGTiS7Wo4GLLnXtZzNp6liZfbeKDZYc4k3hH6TCFEOKZPFeCFBAQwPTp03Ptnz59Ov7+/v85KCFE8WNlrqFHg3JsDG/O7DcCqedTGm22nmUxlwiZso3+C/ay+9xN9HpZoVsIUfQ91xDb119/zQsvvMDGjRuNayBFR0dz8eJF1qxZk68BCiGKF7VaRdsa7rSt4U5MXBI/bj1HxIlEIk9eI/LkNQK8HXmnWQXa1nBHo5Y734QQRdNzXUFq3rw5p0+fpmvXriQnJ5OcnMxLL73EsWPH+OWXX/I7RiFEMRXo48Ts3vXYGN6cHg3KYWGm5tDFZAYt2k/rb7fwy6447mmzlQ5TCCFyee51kDw9PXNNxj506BBz585l9uzZ/zkwIUTJUbFMKSa+VIvwkCosvL/Y5IWb6Xy28ihTIk7TJ9iXN4J9cLK1UDpUIYQAnvMKkhBCPI8ydpa8H1qVqI9aMbpjdbwcrUlKy2TKxtM0+jKSUX8eJf6mPMpECKG8576CJIQQz8vW0ox+jcvzRkMfVh+5yuxt5zh2JYWfo+P4dVccodXdqC3/OwkhFCT/BQkhFGOmUdO5thedAjyJOnuTH7edY9vp66w9lsh6lYYE21MMb1sVeytzpUMVQpiYZ0qQXnrppSd+npyc/F9iEUKYKJVKReNKLjSu5MKJqyl8s/4kkSevMz8qjr8OX+XDdtV4uW5Z1HLXmxCikDzTHCQHB4cnbj4+PvTu3bugYhVCmAA/D3tm9arDO9WyKe9sw43UTD5cfpiuM6M4eDFZ6fCEECbima4gzZ8/v6DiEEKIHPxK6xnavRGL9l7iu41nOHQxmS4zdvJqvbJ8EFqNMnaWSocohCjB5C42IUSRZWGmZmCzimx+vwUv1fUC4Pd9l2j1zRbm7jiPNluncIRCiJJKEiQhRJHnam/F5Fdr879BwdT0sudORhbj/z5Oh++2szP2htLhCSFKIEmQhBDFRqCPE38OacLEl2rhZGvBmWup9PppN4N+jeHSLVk/SQiRfyRBEkIUKxq1ih4NyrH5/1rQt5EvahWsPZpA62+3MnXjaXl0iRAiX0iCJIQolhxszBnTqQZrhjUlqLwTGVk6pm48Q+tvt7Lu6FX0er3SIQohijFJkIQQxVo1d3uWDGzI9J518HCw4nLyXd75dT9vzN3DmcQ7SocnhCimJEESQhR7KpWKF/09ify/5gxtVQkLMzU7Ym/Q/rvtjP/7OCn3tEqHKIQoZiRBEkKUGDYWZvxf26psHN6ckOpuZOn0zN1xnlbfbOH3fRfR6WTYTQiRN5IgCSFKnHLONszpXY8F/epTwcXWuBr3SzOjOCSrcQsh8kASJCFEidWiqivr3mvGxx2qYWuh4eDFZDrP2MmHyw9xIzVD6fCEEEWYJEhCiBLtcatxt5TVuIUQT1AkEqQZM2bg6+uLlZUVQUFB7Nmz57FlFyxYgEqlyrFZWVnlKPPw5w+2SZMmGcv4+vrm+vzLL78ssDYKIZSVazXue7IatxDi8RRPkJYuXUp4eDijR49m//79BAQEEBoayrVr1x57jL29PVevXjVucXFxOT7/92dXr15l3rx5qFQqunXrlqPcuHHjcpQbOnRogbRRCFF0yGrcQoi8UDxBmjx5MgMGDKBfv35Ur16dWbNmYWNjw7x58x57jEqlwt3d3bi5ubnl+Pzfn7m7u/Pnn3/SsmVLKlSokKOcnZ1djnK2trYF0kYhRNEiq3ELIZ7GTMmTZ2ZmEhMTw8iRI4371Go1bdq0ITo6+rHHpaam4uPjg06no27dukyYMIEaNWo8smxiYiKrV69m4cKFuT778ssvGT9+POXKlaNnz54MHz4cM7NHd0lGRgYZGf9M6kxJSQFAq9Wi1ebfGisP6srPOosbU+8DU28/FF4f2JjDJ+2r8HIdD8avOcnu87eYuvEMy/ddZGT7qoT4uaJSqQo0hkcx9e+AqbcfpA8Ksv15rVOlV3A9/itXruDl5UVUVBTBwcHG/R9++CFbt25l9+7duY6Jjo7mzJkz+Pv7c/v2bb755hu2bdvGsWPHKFu2bK7yX3/9NV9++SVXrlzJMVdp8uTJ1K1bFycnJ6Kiohg5ciT9+vVj8uTJj4x1zJgxjB07Ntf+xYsXY2Nj8zzNF0IUIXo9HLypYmWcmuRMQ1JUxUFHN18d7vJPXIgSIz09nZ49e3L79m3s7e0fW67YJUgP02q1+Pn50aNHD8aPH5/r82rVqhESEsK0adOeWM+8efN4++23SU1NxdLSMtfnj7qC5O3tzY0bN57Ywc9Kq9USERFBSEgI5ubm+VZvcWLqfWDq7Qdl+yA9M4sft13gp50XyMzSYaZW0bthOcJaVsDOqnBiMfXvgKm3H6QPCrL9KSkpuLi4PDVBUnSIzcXFBY1GQ2JiYo79iYmJuLu756kOc3Nz6tSpQ2xsbK7Ptm/fzqlTp1i6dOlT6wkKCiIrK4sLFy5QtWrVXJ9bWlo+MnEyNzcvkC9vQdVbnJh6H5h6+0GZPnAwN+fD9n681sCH8auPE3E8kXlRcaw6nMCIdlXpVrcsanXhDLuZ+nfA1NsP0gcF0f681qfoJG0LCwsCAwOJjIw07tPpdERGRua4ovQk2dnZHDlyBA8Pj1yfzZ07l8DAQAICAp5az8GDB1Gr1bi6uua9AUKIEiv3atwZfCCrcQthMhS9ggQQHh5Onz59qFevHg0aNGDq1KmkpaXRr18/AHr37o2XlxcTJ04EDLfmN2zYkEqVKpGcnMykSZOIi4vjrbfeylFvSkoKy5Yt49tvv811zujoaHbv3k3Lli2xs7MjOjqa4cOH8/rrr1O6dOmCb7QQothoUdWVRhVdWBB1nu82njGuxv1qvbJ82K4aLqVyX1kWQhR/iidI3bt35/r164waNYqEhARq167NunXrjLfux8fHo1b/c6Hr1q1bDBgwgISEBEqXLk1gYCBRUVFUr149R71LlixBr9fTo0ePXOe0tLRkyZIljBkzhoyMDMqXL8/w4cMJDw8v2MYKIYqlB6txd6ntxZfrTvLH/sv8vu8Sa48mMLxNFd4I9sFco/iqKUKIfKR4ggQQFhZGWFjYIz/bsmVLjvdTpkxhypQpT61z4MCBDBw48JGf1a1bl127dj1znEII0/ZgNe5eQeUYveoYRy+nMO7v4yzZG8+YjjVoVMlF6RCFEPlEfuURQohn9PBq3KcTU+n5024GL5LVuIUoKSRBEkKI5/DwatwatYo1RxJoM3kr3208I6txC1HMSYIkhBD/gYONOWM61WD1u01oWMGJe1odUzaeps3kraw7moCCS80JIf4DSZCEECIfVHO357cBDZnesw4eDlZcunWXd36N4Y25e4i9dkfp8IQQz0gSJCGEyCcqlYoX/T2J/L/mDG1VCQszNTtib9Bu6nY+//s4KfdM87laQhRHkiAJIUQ+s7Ew4//aVmXj8OaEVHcjS6fnpx3nafXNVpbtu4hOJ8NuQhR1kiAJIUQBybEadxlZjVuI4kQSJCGEKGAtqrqyblgzPu5QDVsLDQcvJtPlh52MWH6YG6kZT69ACFHoJEESQohC8GA17s3vt+Clul7o9bB030VafrOFeTvOo83WKR2iEOJfJEESQohC9GA17v8NCqamlz137mUx7u/jvPD9dqJibygdnhDiPkmQhBBCAU9ajfty8l2lwxPC5EmCJIQQCnncatztvt/J+ksqMrJk2E0IpUiCJIQQCnvUatxrLmroOD2KnTLsJoQiJEESQogi4sFq3FNf9cfeXM/5m+n0+mk37y05wPU7crebEIVJEiQhhChCVCoVL9Ry5+Pa2bzRsBwqFaw8eIXW327h111xssikEIVEEiQhhCiCrM1g1AvV+HNIY2p5OZByL4tPVx7lpZlRHLtyW+nwhCjxJEESQogizL+sIyuHNGZspxqUsjTj4MVkOk7bwfi/j5OakaV0eEKUWJIgCSFEEadRq+jTyJfI/2vOi/4e6PQwd8d5QiZvZd3RBPR6GXYTIr9JgiSEEMWEm70V03vWZeGbDSjnZMPV2/d459cY3lq4j4tJ6UqHJ0SJIgmSEEIUM82rlGHD8Ga826oS5hoVkSevETJlKzO3nJVHlgiRTyRBEkKIYsjKXEN426qsHdbMuHbSV+tO8sL329lzPknp8IQo9iRBEkKIYqySayl+G9CQya8G4Hz/kSWv/hjNh8sPkZSWqXR4QhRbkiAJIUQxp1KpeKluWSL/rzk9GpQD4Pd9l2j97RZ+33dRJnEL8RwkQRJCiBLC0caCiS/V4n+DgqnmbsetdC0fLj9M9x93cTrxjtLhCVGsSIIkhBAlTKCPE38NbcInHfywsdCw50ISHb7bzlfrTnI3M1vp8IQoFiRBEkKIEshco2ZAswpEhDenbXU3snR6Zm45S8iUrWw6mah0eEIUeZIgCSFECeblaM3s3vWY07seXo7WXLp1lzcX7OOdX2K4evuu0uEJUWRJgiSEECYgpLobEeHNeLt5BczUKtYdS6DNt1v5afs5smTtJCFykQRJCCFMhI2FGSPb+/H3u00I9ClNWmY2n68+QafpOzkQf0vp8IQoUiRBEkIIE1PN3Z5lbwfzVbdaONqYc/xqCi/NjOLTlUe4fVerdHhCFAmSIAkhhAlSq1V0r1+OyPDmdKtbFr0eft0VT+tvt/DnwcuydpIweZIgCSGECXMuZcm3rwbw24CGVCxjy43UTIYtOcjrc3dz7nqq0uEJoZgikSDNmDEDX19frKysCAoKYs+ePY8tu2DBAlQqVY7NysoqR5m+ffvmKtOuXbscZZKSkujVqxf29vY4OjrSv39/UlPlPwMhhGkKrujM2mHN+CC0KpZmanbG3qTd1O1MiTjNPa2snSRMj+IJ0tKlSwkPD2f06NHs37+fgIAAQkNDuXbt2mOPsbe35+rVq8YtLi4uV5l27drlKPPbb7/l+LxXr14cO3aMiIgI/v77b7Zt28bAgQPzvX1CCFFcWJipGdKyEhHDm9O8Shkys3V8F3mGdlO3sf3MdaXDE6JQKZ4gTZ48mQEDBtCvXz+qV6/OrFmzsLGxYd68eY89RqVS4e7ubtzc3NxylbG0tMxRpnTp0sbPTpw4wbp16/jpp58ICgqiSZMmTJs2jSVLlnDlypUCaacQQhQX5ZxtWNCvPj/0qoubvSUXbqbzxtw9vPvbAa7duad0eEIUCjMlT56ZmUlMTAwjR4407lOr1bRp04bo6OjHHpeamoqPjw86nY66desyYcIEatSokaPMli1bcHV1pXTp0rRq1YrPP/8cZ2dnAKKjo3F0dKRevXrG8m3atEGtVrN79266du2a65wZGRlkZGQY36ekpACg1WrRavPvro8HdeVnncWNqfeBqbcfpA+KSvtDqrnQ0Lcx322K5Zdd8aw6dIXNp67xf20q8Vp9bzRqVYGct6i0X0mm3gcF2f681qnSK3irwpUrV/Dy8iIqKorg4GDj/g8//JCtW7eye/fuXMdER0dz5swZ/P39uX37Nt988w3btm3j2LFjlC1bFoAlS5ZgY2ND+fLlOXv2LB9//DGlSpUiOjoajUbDhAkTWLhwIadOncpRt6urK2PHjmXQoEG5zjtmzBjGjh2ba//ixYuxsbH5r10hhBBF2sVUWHpOw8U0Q1LkU0rPqxWyKWurcGBCPKP09HR69uzJ7du3sbe3f2w5Ra8gPY/g4OAcyVSjRo3w8/Pjxx9/ZPz48QC89tprxs9r1aqFv78/FStWZMuWLbRu3fq5zjty5EjCw8ON71NSUvD29qZt27ZP7OBnpdVqiYiIICQkBHNz83yrtzgx9T4w9faD9EFRbf9bOj1L9l7km4hY4lKz+PaIGW80LMewVpWws8q/HydFtf2FydT7oCDb/2AE6GkUTZBcXFzQaDQkJuZ8cGJiYiLu7u55qsPc3Jw6deoQGxv72DIVKlTAxcWF2NhYWrdujbu7e65J4FlZWSQlJT32vJaWllhaWj7y/AXx5S2oeosTU+8DU28/SB8UtfabA32bVKSDvxefrz7BqkNXWBgdz7pjiYzuWIP2Nd1RqfJv2K2otV8Jpt4HBdH+vNan6CRtCwsLAgMDiYyMNO7T6XRERkbmuEr0JNnZ2Rw5cgQPD4/Hlrl06RI3b940lgkODiY5OZmYmBhjmU2bNqHT6QgKCnrO1gghhGlwtbfi+x51+KV/A3ydbUhMyWDwov28uWAvF5PSlQ5PiHyh+F1s4eHhzJkzh4ULF3LixAkGDRpEWloa/fr1A6B37945JnGPGzeODRs2cO7cOfbv38/rr79OXFwcb731FmCYwP3BBx+wa9cuLly4QGRkJJ07d6ZSpUqEhoYC4OfnR7t27RgwYAB79uxh586dhIWF8dprr+Hp6Vn4nSCEEMVQ08plWPdeM4a1royFRs3mU9dpM3krMzbHkpklD8AVxZvic5C6d+/O9evXGTVqFAkJCdSuXZt169YZb92Pj49Hrf4nj7t16xYDBgwgISGB0qVLExgYSFRUFNWrVwdAo9Fw+PBhFi5cSHJyMp6enrRt25bx48fnGCJbtGgRYWFhtG7dGrVaTbdu3fj+++8Lt/FCCFHMWZlrGB5ShU61Pfls5VGizt5k0vpTrDhwmS+61CSogrPSIQrxXBRPkADCwsIICwt75GdbtmzJ8X7KlClMmTLlsXVZW1uzfv36p57TycmJxYsXP1OcQgghHq1imVIseiuIPw9e4fPVx4m9lkr32bt4ObAsI9tXw7lU7jmcQhRlig+xCSGEKBlUKhVd6ngRGd6CXkHlUKlgecwlWk/eytK98eh08gBcUXxIgiSEECJfOdiY80XXWvxvUCP8POxJTtcy4n9HePXHaE4l3FE6PCHyRBIkIYQQBaJuudL8FdaYT1/ww8ZCw764W7zw/XYmrj1BemaW0uEJ8USSIAkhhCgwZho1bzWtwMbw5rSr4U6WTs+PW88RMnkbG48nPr0CIRQiCZIQQogC5+lozaw3Apnbpx5ejtZcTr7LWz/v4+1f9nEl+a7S4QmRiyRIQgghCk1rPzciwpsxqEVFzNQq1h9LpM3krczZdg5ttqydJIoOSZCEEEIUKhsLM0a0q8aaYU2p71ua9Mxsvlhzgo7TdrA//pbS4QkBSIIkhBBCIVXc7Fg6MJivu/njaGPOyYQ7dJsZxWerjpMuc7iFwiRBEkIIoRi1WsWr9b3Z9H8teLVeWfR6WLL3El8c0PDjtvMkp2cqHaIwUZIgCSGEUJyTrQVfvxzA0oENqVTGltQsFd9EnCF44iY+XXmEc9dTlQ5RmBhJkIQQQhQZQRWc+XNwML0qZePnbsddbTa/7oqn1bdb6b9gL1Fnb6DXy4rcouAViWexCSGEEA9YmKlpUEbP6N4Nibl4h7k7zhF58ppx8/Owp3+T8nQM8MDSTKN0uKKEkgRJCCFEkaRSqQiu6ExwRWfOXU9l/s4LLI+5xImrKby/7BBfrTtJ74Y+9Grog5OthdLhihJGhtiEEEIUeRXKlGJ8l5pEj2zFiHbVcLe34vqdDL6NOE3wxEhG/nGYM4nynDeRfyRBEkIIUWw42lgwqEVFto9oyXev1ca/rAMZWTp+23ORkCnb6DNvD9tOX5d5SuI/kyE2IYQQxY65Rk3n2l50CvBkX9wtftp+jg3HE9l6+jpbT1+nilsp3mxcni51vLAyl3lK4tlJgiSEEKLYUqlU1Pd1or6vE/E305kfdZ7f917kdGIqH/1xhEnrT9GroQ9vNPShjJ2l0uGKYkSG2IQQQpQI5ZxtGN2xBtEft+aTDn54OVpzMy2T7yPP0PjLTXyw7BAnE1KUDlMUE3IFSQghRIlib2XOgGYV6NfYl3XHEpi74zwH4pNZFnOJZTGXaFLJhf5NytO8ShnUapXS4YoiShIkIYQQJZKZRs2L/p686O9JTNwt5u04z9qjV9kRe4MdsTeoUMaWNxuXp1vdslhbyDwlkZMkSEIIIUq8QJ/SBPqU5tKtdBZGXWDJnoucu57GpyuP8s2GU/QKKkfvYF/c7K2UDlUUETIHSQghhMkoW9qGT16oTvTHrRn1YnW8naxJTtcyY/NZmny1ifClBzl6+bbSYYoiQK4gCSGEMDmlLM14s0l5+jTyJeK4YZ7S3gu3+OPAZf44cJmg8k70b1Ke1n5uaGSekkmSBEkIIYTJ0qhVtKvpQbuaHhy+lMzcHedZffgqu88nsft8Er7ONvRrXJ6XA8tiayk/Mk2JDLEJIYQQgH9ZR757rQ7bR7TkneYVsbcy48LNdEavOkbwxEgmrj3BleS7SocpCokkSEIIIcS/eDhY81H7akSPbM24zjXwdbYh5V4WP249R9OvNzP0twMcvJisdJiigMn1QiGEEOIRbC3N6B3sy+tBPmw6eY2fdpxj17kk/jp0hb8OXaGeT2n6NylP2xruMk+pBJIESQghhHgCtVpFm+putKnuxtHLt5m38zx/HbrCvrhb7Iu7RdnS1vRrXJ5X65XFzspc6XBFPpEhNiGEECKPano5MPnV2uwY0YqwlpUobWPOpVt3Gf/3cYInbmL838e5mJSudJgiH0iCJIQQQjwjN3sr3g+tStRHrfmia00qlrElNSOLuTvO03zSZgYviiEmLgm9Xq90qOI5yRCbEEII8ZysLTT0CvKhR/1ybD1znbnbz7Mj9gZrjiSw5kgCAd6OvNWkPO1rumOmkWsSxYkkSEIIIcR/pFaraFnVlZZVXTmZkMK8HedZeeAKhy4mM/S3A3g6WNG3sS/d65fDwVrmKRUHRSKdnTFjBr6+vlhZWREUFMSePXseW3bBggWoVKocm5XVP8/O0Wq1jBgxglq1amFra4unpye9e/fmypUrOerx9fXNVc+XX35ZYG0UQghhGqq52/P1ywHs/KgVw1pXxtnWgiu37zFhzUmCJ0YyZtUx4m6mKR2meArFE6SlS5cSHh7O6NGj2b9/PwEBAYSGhnLt2rXHHmNvb8/Vq1eNW1xcnPGz9PR09u/fz2effcb+/fv5448/OHXqFJ06dcpVz7hx43LUM3To0AJpoxBCCNNTxs6S4SFV2PlRK77qVosqbqVIz8xmQdQFWnyzhYE/72P3uZsyT6mIUnyIbfLkyQwYMIB+/foBMGvWLFavXs28efP46KOPHnmMSqXC3d39kZ85ODgQERGRY9/06dNp0KAB8fHxlCtXzrjfzs7usfUIIYQQ+cHKXEP3+uV4tZ43O2Jv8NP282w9fZ0NxxPZcDyRml729G9SnhdqeWJhpvh1C3GfoglSZmYmMTExjBw50rhPrVbTpk0boqOjH3tcamoqPj4+6HQ66taty4QJE6hRo8Zjy9++fRuVSoWjo2OO/V9++SXjx4+nXLly9OzZk+HDh2Nm9uguycjIICMjw/g+JSUFMAzpabXavDQ3Tx7UlZ91Fjem3gem3n6QPpD2l9z2N/R1pKFvHWKvpbIgOp6VB69w9HIKw5ce4ss1J3k9yJvX6ntje3+aUknsg7woyO9AXutU6RW8tnflyhW8vLyIiooiODjYuP/DDz9k69at7N69O9cx0dHRnDlzBn9/f27fvs0333zDtm3bOHbsGGXLls1V/t69ezRu3Jhq1aqxaNEi4/7JkydTt25dnJyciIqKYuTIkfTr14/Jkyc/MtYxY8YwduzYXPsXL16MjY3N8zRfCCGEiUvVws5EFTsS1KRoDatxm6v1NCijp7WnDmerp1Qgnll6ejo9e/bk9u3b2NvbP7ZcsUuQHqbVavHz86NHjx6MHz8+12fdunXj0qVLbNmy5YkdMW/ePN5++21SU1OxtLTM9fmjriB5e3tz48aNJ9b7rLRaLREREYSEhGBubpp3Oph6H5h6+0H6QNpveu3PyNKx+shV5kfFczLhDgCWaj3jO9ega93cv/yXdAX5HUhJScHFxeWpCZKiQ2wuLi5oNBoSExNz7E9MTMzz3CBzc3Pq1KlDbGxsjv1arZZXX32VuLg4Nm3a9NQkJigoiKysLC5cuEDVqlVzfW5pafnIxMnc3LxA/gEXVL3Fian3gam3H6QPpP2m035zc+jewJdX6/sQfe4m364/RUx8Mh+uOM6By3cY3bEGVuYapcMsdAXxHchrfYrOBrOwsCAwMJDIyEjjPp1OR2RkZI4rSk+SnZ3NkSNH8PDwMO57kBydOXOGjRs34uzs/NR6Dh48iFqtxtXV9dkbIoQQQuQDlUpFo4ou/PpmPdp66VCp4Lc9F+kyYydnr6cqHZ5JUXy6fHh4OHPmzGHhwoWcOHGCQYMGkZaWZryrrXfv3jkmcY8bN44NGzZw7tw59u/fz+uvv05cXBxvvfUWYEiOXn75Zfbt28eiRYvIzs4mISGBhIQEMjMzAcM8pqlTp3Lo0CHOnTvHokWLGD58OK+//jqlS5cu/E4QQggh/sVMo+aFcjrm9Q7E2daCkwl36DhtBysPXFY6NJOh+G3+3bt35/r164waNYqEhARq167NunXrcHNzAyA+Ph61+p887tatWwwYMICEhARKly5NYGAgUVFRVK9eHYDLly+zatUqAGrXrp3jXJs3b6ZFixZYWlqyZMkSxowZQ0ZGBuXLl2f48OGEh4cXTqOFEEKIPGhSyZk1w5oybMkBdp1L4r2lB9l17iZjOpnmkFthUjxBAggLCyMsLOyRn23ZsiXH+ylTpjBlypTH1uXr6/vURbfq1q3Lrl27njlOIYQQorC52Vux6K2GfBd5hmmbzrBk70UOXkxmes+6VHItpXR4JZbiQ2xCCCGEeDKNWkV4SBV+eTMIl1KGIbdO03ew4sAlpUMrsSRBEkIIIYqJJpVdWPNuU4IrOJOemc3wpYcYsfwwdzOzlQ6txJEESQghhChGXO2t+PWtIIa1roxKBUv3Ge5yi712R+nQShRJkIQQQohiRqNWMTykCr/2D8KllCWnEu/QcdpO/hcjQ275RRIkIYQQophqXMmFNcOa0KiiM3e12fzfskN8sOyQDLnlA0mQhBBCiGLM1c6KX/oH8V4bw5DbsphLdJ6xgzOJMuT2X0iCJIQQQhRzGrWK99pUYdH9IbfTial0mr6T5TLk9twkQRJCCCFKiEb3h9waVzIMub2/7BDvLztEemaW0qEVO5IgCSGEECWIq50VP78ZRHhIFdQqWB5zic7Td3JahtyeiSRIQgghRAmjUat4t3Vlfn0riDJ2lpy5lkqn6TtYtu+i0qEVG5IgCSGEECVUo4qGhSWbVHLhnlbHB8sP83+/y5BbXkiCJIQQQpRgZewsWfhmA/7v/pDb//ZfopMMuT2VJEhCCCFECadRqxjaujKLBzTE1c6S2PtDbr/vu/jUB7ybKkmQhBBCCBPRsIIza4Y1pWllw5Dbh/eH3NIyZMjtYZIgCSGEECbEpZQlC/s14IPQqqhV8MeBy3SavoNTCTLk9m+SIAkhhBAmRq1WMaRlJX4b0BA3e0vOXk+j84wdLN0bL0Nu90mCJIQQQpiooArOrHm3Kc2qlOGeVseI/x0hXIbcAEmQhBBCCJPmXMqSBX3rG4fcVhy4TMfpOziZkKJ0aIqSBEkIIYQwcQ+G3JYMDMbd3opz19PoPH0nS/aY7pCbJEhCCCGEAKBBeSdWv9uE5lXKkJGl46M/jvDe0oOkmuCQmyRIQgghhDByLmXJ/L71GdGuGhq1ij8PXqHTtB2cuGpaQ26SIAkhhBAiB7VaxaAWFVkysKFhyO1GGl1m7GTxbtMZcpMESQghhBCPVN/XiTXDmtKyqmHI7eMVRxi2xDSG3CRBEkIIIcRjOdlaMLdPfT5qbxhyW3XoCh2n7eD4lZI95CYJkhBCCCGeSK1W8U7ziiwd2BAPByvO30ijyw87WbQ7rsQOuUmCJIQQQog8qefrxJp3m9KqmiuZWTo+WXGUd5cc5M49rdKh5TtJkIQQQgiRZ6VtLfipdz0+7mAYcvvr0BU6Td/JsSu3lQ4tX0mCJIQQQohnolarGNisIr+/3RDP+0NuXX+I4tddJWfITRIkIYQQQjyXQB8nVv9ryO3TlUcZ+tuBEjHkJgmSEEIIIZ7bv4fczNQq/j58lY7TdnD0cvEecpMESQghhBD/yYMht6VvB+PpYMWFm+m89EMUvxTjITdJkIQQQgiRLwJ9SrNmWFPa+LmSma3js5VHCVt8gJRiOORWJBKkGTNm4Ovri5WVFUFBQezZs+exZRcsWIBKpcqxWVlZ5Sij1+sZNWoUHh4eWFtb06ZNG86cOZOjTFJSEr169cLe3h5HR0f69+9PampqgbRPCCGEMBWONhbM6V2PT1/ww0ytYvWR4jnkpniCtHTpUsLDwxk9ejT79+8nICCA0NBQrl279thj7O3tuXr1qnGLi4vL8fnXX3/N999/z6xZs9i9eze2traEhoZy7949Y5levXpx7NgxIiIi+Pvvv9m2bRsDBw4ssHYKIYQQpkKlUvFW0wr8/k4wXo7WxN0fcvs5+kKxGXJTPEGaPHkyAwYMoF+/flSvXp1Zs2ZhY2PDvHnzHnuMSqXC3d3duLm5uRk/0+v1TJ06lU8//ZTOnTvj7+/Pzz//zJUrV1i5ciUAJ06cYN26dfz0008EBQXRpEkTpk2bxpIlS7hy5UpBN1kIIYQwCXXLlWb1u01o4+dGZraOUX8eY8ji/cViyE3RBCkzM5OYmBjatGlj3KdWq2nTpg3R0dGPPS41NRUfHx+8vb3p3Lkzx44dM352/vx5EhISctTp4OBAUFCQsc7o6GgcHR2pV6+esUybNm1Qq9Xs3r07P5sohBBCmDTDkFugcchtzZEEXvx+B0cuFe0hNzMlT37jxg2ys7NzXAECcHNz4+TJk488pmrVqsybNw9/f39u377NN998Q6NGjTh27Bhly5YlISHBWMfDdT74LCEhAVdX1xyfm5mZ4eTkZCzzsIyMDDIyMozvU1IMD+nTarVotfmXCT+oKz/rLG5MvQ9Mvf0gfSDtN+32Q8nsgz4NvQnwsuO93w8Tn5TOSzN3MrJdVV4P8kalUuUoW5Dtz2udiiZIzyM4OJjg4GDj+0aNGuHn58ePP/7I+PHjC+y8EydOZOzYsbn2b9iwARsbm3w/X0RERL7XWdyYeh+YevtB+kDab9rth5LZB2GVYXGsmiO31IxbfZKV0cfpUVGHzSMykoJof3p6ep7KKZogubi4oNFoSExMzLE/MTERd3f3PNVhbm5OnTp1iI2NBTAel5iYiIeHR446a9eubSzz8CTwrKwskpKSHnvekSNHEh4ebnyfkpKCt7c3bdu2xd7ePk+x5oVWqyUiIoKQkBDMzc3zrd7ixNT7wNTbD9IH0n7Tbj+U/D7optezcFc8X68/zeEkNUl6W77v7k8tLwegYNv/YAToaRRNkCwsLAgMDCQyMpIuXboAoNPpiIyMJCwsLE91ZGdnc+TIETp06ABA+fLlcXd3JzIy0pgQpaSksHv3bgYNGgQYrkIlJycTExNDYGAgAJs2bUKn0xEUFPTI81haWmJpaZlrv7m5eYF8eQuq3uLE1PvA1NsP0gfSftNuP5TsPhjQrBINyrswZPF+Lt26S/c5e/i4gx99G/kayxRE+/Nan+J3sYWHhzNnzhwWLlzIiRMnGDRoEGlpafTr1w+A3r17M3LkSGP5cePGsWHDBs6dO8f+/ft5/fXXiYuL46233gIMd7i99957fP7556xatYojR47Qu3dvPD09jUmYn58f7dq1Y8CAAezZs4edO3cSFhbGa6+9hqenZ6H3gRBCCGGKArwdWf1uU0JruKHN1jP2r+O882sMKXeVn3ul+Byk7t27c/36dUaNGkVCQgK1a9dm3bp1xknW8fHxqNX/5HG3bt1iwIABJCQkULp0aQIDA4mKiqJ69erGMh9++CFpaWkMHDiQ5ORkmjRpwrp163IsKLlo0SLCwsJo3bo1arWabt268f333xdew4UQQgiBg7U5s14PZEHUBSasOcH6Y4kcu5LCq2WVjUvxBAkgLCzssUNqW7ZsyfF+ypQpTJky5Yn1qVQqxo0bx7hx4x5bxsnJicWLFz9zrEIIIYTIXyqVin6Ny1O3XGnCftvPxaS7fJeswavqVbrVK6dITIoPsQkhhBBCgGHI7e+hTWlb3RUzFdT0zL+boJ6VJEhCCCGEKDIcrM2Z/loA7/tnU6GMrWJxSIIkhBBCiCJFpVLhaq1sDJIgCSGEEEI8RBIkIYQQQoiHSIIkhBBCCPEQSZCEEEIIIR4iCZIQQgghxEMkQRJCCCGEeIgkSEIIIYQQD5EESQghhBDiIZIgCSGEEEI8RBIkIYQQQoiHSIIkhBBCCPEQSZCEEEIIIR4iCZIQQgghxEPMlA6guNLr9QCkpKTka71arZb09HRSUlIwNzfP17qLC1PvA1NvP0gfSPtNu/0gfVCQ7X/wc/vBz/HHkQTpOd25cwcAb29vhSMRQgghxLO6c+cODg4Oj/1cpX9aCiUeSafTceXKFezs7FCpVPlWb0pKCt7e3ly8eBF7e/t8q7c4MfU+MPX2g/SBtN+02w/SBwXZfr1ez507d/D09EStfvxMI7mC9JzUajVly5YtsPrt7e1N8h/Fv5l6H5h6+0H6QNpv2u0H6YOCav+Trhw9IJO0hRBCCCEeIgmSEEIIIcRDJEEqYiwtLRk9ejSWlpZKh6IYU+8DU28/SB9I+027/SB9UBTaL5O0hRBCCCEeIleQhBBCCCEeIgmSEEIIIcRDJEESQgghhHiIJEhCCCGEEA+RBKmImTFjBr6+vlhZWREUFMSePXuUDqnQbNu2jY4dO+Lp6YlKpWLlypVKh1SoJk6cSP369bGzs8PV1ZUuXbpw6tQppcMqNDNnzsTf39+4MFxwcDBr165VOizFfPnll6hUKt577z2lQyk0Y8aMQaVS5diqVaumdFiF6vLly7z++us4OztjbW1NrVq12Ldvn9JhFRpfX99c3wGVSsWQIUMKPRZJkIqQpUuXEh4ezujRo9m/fz8BAQGEhoZy7do1pUMrFGlpaQQEBDBjxgylQ1HE1q1bGTJkCLt27SIiIgKtVkvbtm1JS0tTOrRCUbZsWb788ktiYmLYt28frVq1onPnzhw7dkzp0Ard3r17+fHHH/H391c6lEJXo0YNrl69atx27NihdEiF5tatWzRu3Bhzc3PWrl3L8ePH+fbbbyldurTSoRWavXv35vj7j4iIAOCVV14p/GD0osho0KCBfsiQIcb32dnZek9PT/3EiRMVjEoZgH7FihVKh6Goa9eu6QH91q1blQ5FMaVLl9b/9NNPSodRqO7cuaOvXLmyPiIiQt+8eXP9sGHDlA6p0IwePVofEBCgdBiKGTFihL5JkyZKh1GkDBs2TF+xYkW9Tqcr9HPLFaQiIjMzk5iYGNq0aWPcp1aradOmDdHR0QpGJpRy+/ZtAJycnBSOpPBlZ2ezZMkS0tLSCA4OVjqcQjVkyBBeeOGFHP8XmJIzZ87g6elJhQoV6NWrF/Hx8UqHVGhWrVpFvXr1eOWVV3B1daVOnTrMmTNH6bAUk5mZya+//sqbb76Zrw+FzytJkIqIGzdukJ2djZubW479bm5uJCQkKBSVUIpOp+O9996jcePG1KxZU+lwCs2RI0coVaoUlpaWvPPOO6xYsYLq1asrHVahWbJkCfv372fixIlKh6KIoKAgFixYwLp165g5cybnz5+nadOm3LlzR+nQCsW5c+eYOXMmlStXZv369QwaNIh3332XhQsXKh2aIlauXElycjJ9+/ZV5PxmipxVCPFEQ4YM4ejRoyY1/wKgatWqHDx4kNu3b7N8+XL69OnD1q1bTSJJunjxIsOGDSMiIgIrKyulw1FE+/btja/9/f0JCgrCx8eH33//nf79+ysYWeHQ6XTUq1ePCRMmAFCnTh2OHj3KrFmz6NOnj8LRFb65c+fSvn17PD09FTm/XEEqIlxcXNBoNCQmJubYn5iYiLu7u0JRCSWEhYXx999/s3nzZsqWLat0OIXKwsKCSpUqERgYyMSJEwkICOC7775TOqxCERMTw7Vr16hbty5mZmaYmZmxdetWvv/+e8zMzMjOzlY6xELn6OhIlSpViI2NVTqUQuHh4ZHrlwE/Pz+TGmZ8IC4ujo0bN/LWW28pFoMkSEWEhYUFgYGBREZGGvfpdDoiIyNNbg6GqdLr9YSFhbFixQo2bdpE+fLllQ5JcTqdjoyMDKXDKBStW7fmyJEjHDx40LjVq1ePXr16cfDgQTQajdIhFrrU1FTOnj2Lh4eH0qEUisaNG+da2uP06dP4+PgoFJFy5s+fj6urKy+88IJiMcgQWxESHh5Onz59qFevHg0aNGDq1KmkpaXRr18/pUMrFKmpqTl+Uzx//jwHDx7EycmJcuXKKRhZ4RgyZAiLFy/mzz//xM7Ozjj3zMHBAWtra4WjK3gjR46kffv2lCtXjjt37rB48WK2bNnC+vXrlQ6tUNjZ2eWab2Zra4uzs7PJzEN7//336dixIz4+Ply5coXRo0ej0Wjo0aOH0qEViuHDh9OoUSMmTJjAq6++yp49e5g9ezazZ89WOrRCpdPpmD9/Pn369MHMTME0pdDvmxNPNG3aNH25cuX0FhYW+gYNGuh37dqldEiFZvPmzXog19anTx+lQysUj2o7oJ8/f77SoRWKN998U+/j46O3sLDQlylTRt+6dWv9hg0blA5LUaZ2m3/37t31Hh4eegsLC72Xl5e+e/fu+tjYWKXDKlR//fWXvmbNmnpLS0t9tWrV9LNnz1Y6pEK3fv16PaA/deqUonGo9Hq9XpnUTAghhBCiaJI5SEIIIYQQD5EESQghhBDiIZIgCSGEEEI8RBIkIYQQQoiHSIIkhBBCCPEQSZCEEEIIIR4iCZIQQgghxEMkQRJCiOekUqlYuXKl0mEIIQqAJEhCiGKpb9++qFSqXFu7du2UDk0IUQLIs9iEEMVWu3btmD9/fo59lpaWCkUjhChJ5AqSEKLYsrS0xN3dPcdWunRpwDD8NXPmTNq3b4+1tTUVKlRg+fLlOY4/cuQIrVq1wtraGmdnZwYOHEhqamqOMvPmzaNGjRpYWlri4eFBWFhYjs9v3LhB165dsbGxoXLlyqxatcr42a1bt+jVqxdlypTB2tqaypUr50rohBBFkyRIQogS67PPPqNbt24cOnSIXr168dprr3HixAkA0tLSCA0NpXTp0uzdu5dly5axcePGHAnQzJkzGTJkCAMHDuTIkSOsWrWKSpUq5TjH2LFjefXVVzl8+DAdOnSgV69eJCUlGc9//Phx1q5dy4kTJ5g5cyYuLi6F1wFCiOen6KNyhRDiOfXp00ev0Wj0tra2ObYvvvhCr9fr9YD+nXfeyXFMUFCQftCgQXq9Xq+fPXu2vnTp0vrU1FTj56tXr9ar1Wp9QkKCXq/X6z09PfWffPLJY2MA9J9++qnxfWpqqh7Qr127Vq/X6/UdO3bU9+vXL38aLIQoVDIHSQhRbLVs2ZKZM2fm2Ofk5GR8HRwcnOOz4OBgDh48CMCJEycICAjA1tbW+Hnjxo3R6XScOnUKlUrFlStXaN269RNj8Pf3N762tbXF3t6ea9euATBo0CC6devG/v37adu2LV26dKFRo0bP1VYhROGSBEkIUWzZ2trmGvLKL9bW1nkqZ25unuO9SqVCp9MB0L59e+Li4lizZg0RERG0bt2aIUOG8M033+R7vEKI/CVzkIQQJdauXbtyvffz8wPAz8+PQ4cOkZaWZvx8586dqNVqqlatip2dHb6+vkRGRv6nGMqUKUOfPn349ddfmTp1KrNnz/5P9QkhCodcQRJCFFsZGRkkJCTk2GdmZmacCL1s2TLq1atHkyZNWLRoEXv27GHu3LkA9OrVi9GjR9OnTx/GjBnD9evXGTp0KG+88QZubm4AjBkzhnfeeQdXV1fat2/PnTt32LlzJ0OHDs1TfKNGjSIwMJAaNWqQkZHB33//bUzQhBBFmyRIQohia926dXh4eOTYV7VqVU6ePAkY7jBbsmQJgwcPxsPDg99++43q1asDYGNjw/r16xk2bBj169fHxsaGbt26MXnyZGNdffr04d69e0yZMoX3338fFxcXXn755TzHZ2FhwciRI7lw4QLW1tY0bdqUJUuW5EPLhRAFTaXX6/VKByGEEPlNpVKxYsUKunTponQoQohiSOYgCSGEEEI8RBIkIYQQQoiHyBwkIUSJJLMHhBD/hVxBEkIIIYR4iCRIQgghhBAPkQRJCCGEEOIhkiAJIYQQQjxEEiQhhBBCiIdIgiSEEEII8RBJkIQQQgghHiIJkhBCCCHEQyRBEkIIIYR4yP8DthoL/mMaplgAAAAASUVORK5CYII=\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m44/44\u001b[0m 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["m,b,h,p,y = run_strategy(\n"," \"full\",\n"," train_set,\n"," valid_set,\n"," test_set\n",")\n","\n","roc_data[\"Full Dataset\"]=(y,p)\n","\n","results.append([\n"," \"Full Dataset\",b,\n"," m['accuracy'],\n"," m['balanced'],\n"," m['precision'],\n"," m['recall'],\n"," m['specificity'],\n"," m['f1'],\n"," m['auc']\n","])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"ovnb6YOlEn2m","executionInfo":{"status":"ok","timestamp":1774368906290,"user_tz":-330,"elapsed":58492,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"502e1267-4e4b-46d8-9ef0-f69bb061ca13"},"execution_count":19,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/8\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 21ms/step - accuracy: 0.6323 - loss: 0.6292 - val_accuracy: 0.6438 - val_loss: 0.6224\n","Epoch 2/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 22ms/step - accuracy: 0.6553 - loss: 0.5989 - val_accuracy: 0.6645 - val_loss: 0.5923\n","Epoch 3/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.6701 - loss: 0.5829 - val_accuracy: 0.6815 - val_loss: 0.5763\n","Epoch 4/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 22ms/step - accuracy: 0.6839 - loss: 0.5682 - val_accuracy: 0.6886 - val_loss: 0.5666\n","Epoch 5/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 18ms/step - accuracy: 0.6919 - loss: 0.5564 - val_accuracy: 0.6947 - val_loss: 0.5617\n","Epoch 6/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 21ms/step - accuracy: 0.7052 - loss: 0.5402 - val_accuracy: 0.6981 - val_loss: 0.5602\n","Epoch 7/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 18ms/step - accuracy: 0.7063 - loss: 0.5340 - val_accuracy: 0.6865 - val_loss: 0.5740\n","Epoch 8/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.7219 - loss: 0.5167 - val_accuracy: 0.6971 - val_loss: 0.5660\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m277/277\u001b[0m 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["columns = [\n","\"Strategy\",\"Best Epoch\",\"Accuracy\",\"Balanced Accuracy\",\n","\"Precision\",\"Recall\",\"Specificity\",\"F1 Score\",\"AUC\"\n","]\n","\n","results_df = pd.DataFrame(results,columns=columns)\n","\n","display(results_df)\n","\n","results_df.to_csv(\n"," os.path.join(TABLE_DIR,\"results_table.csv\"),\n"," index=False\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":174},"id":"Bs96L8l9E9xs","executionInfo":{"status":"ok","timestamp":1774368924066,"user_tz":-330,"elapsed":345,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"2271d5e7-1aa0-4572-ed4a-7a507df9b84a"},"execution_count":20,"outputs":[{"output_type":"display_data","data":{"text/plain":[" Strategy Best Epoch Accuracy Balanced Accuracy Precision Recall \\\n","0 english 8 0.766997 0.767892 0.725446 0.850979 \n","1 hindi 7 0.564828 0.541588 0.526520 0.312356 \n","2 hinglish 7 0.700071 0.651809 0.713846 0.413547 \n","3 Full Dataset 6 0.684478 0.683824 0.655947 0.674611 \n","\n"," Specificity F1 Score AUC \n","0 0.684806 0.783214 0.848523 \n","1 0.770820 0.392100 0.587813 \n","2 0.890071 0.523702 0.701822 \n","3 0.693038 0.665148 0.760794 "],"text/html":["\n","
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StrategyBest EpochAccuracyBalanced AccuracyPrecisionRecallSpecificityF1 ScoreAUC
0english80.7669970.7678920.7254460.8509790.6848060.7832140.848523
1hindi70.5648280.5415880.5265200.3123560.7708200.3921000.587813
2hinglish70.7000710.6518090.7138460.4135470.8900710.5237020.701822
3Full Dataset60.6844780.6838240.6559470.6746110.6930380.6651480.760794
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"results_df","summary":"{\n \"name\": \"results_df\",\n \"rows\": 4,\n \"fields\": [\n {\n \"column\": \"Strategy\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"hindi\",\n \"Full Dataset\",\n \"english\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Best Epoch\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 6,\n \"max\": 8,\n \"num_unique_values\": 3,\n \"samples\": [\n 8,\n 7,\n 6\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.08416793508631044,\n \"min\": 0.5648275862068965,\n \"max\": 0.766996699669967,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5648275862068965,\n 0.6844780840488025,\n 0.766996699669967\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Balanced Accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.09361320136358652,\n \"min\": 0.5415881946723784,\n \"max\": 0.7678924583667076,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5415881946723784,\n 0.6838244348125893,\n 0.7678924583667076\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Precision\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.09116408370183293,\n \"min\": 0.5265200517464425,\n \"max\": 0.7254455821008722,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5265200517464425,\n 0.6559470323953653,\n 0.7254455821008722\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Recall\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2453209607836262,\n \"min\": 0.3123561013046815,\n \"max\": 0.8509786476868327,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.3123561013046815,\n 0.6746108949416343,\n 0.8509786476868327\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Specificity\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.09517200852384088,\n \"min\": 0.6848062690465825,\n \"max\": 0.8900709219858156,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.7708202880400752,\n 0.6930379746835443,\n 0.6848062690465825\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"F1 Score\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.16983744152296282,\n \"min\": 0.3921001926782274,\n \"max\": 0.7832139201637667,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.3921001926782274,\n 0.6651480637813212,\n 0.7832139201637667\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AUC\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.10938684736450952,\n \"min\": 0.5878126244959491,\n \"max\": 0.8485229263916885,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5878126244959491,\n 0.7607941252524257,\n 0.8485229263916885\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{}}]},{"cell_type":"code","source":["plt.figure(figsize=(6,4))\n","\n","# English ROC\n","y_eng, p_eng = roc_data[\"english\"]\n","fpr_eng, tpr_eng, _ = roc_curve(y_eng, p_eng)\n","auc_eng = roc_auc_score(y_eng, p_eng)\n","\n","plt.plot(\n"," fpr_eng,\n"," tpr_eng,\n"," label=f\"English (AUC={auc_eng:.3f})\",\n"," linewidth=2\n",")\n","\n","# Full Dataset ROC\n","y_full, p_full = roc_data[\"Full Dataset\"]\n","fpr_full, tpr_full, _ = roc_curve(y_full, p_full)\n","auc_full = roc_auc_score(y_full, p_full)\n","\n","plt.plot(\n"," fpr_full,\n"," tpr_full,\n"," label=f\"Full Dataset (AUC={auc_full:.3f})\",\n"," linewidth=2\n",")\n","\n","# Random baseline\n","plt.plot([0,1],[0,1],'k--')\n","\n","plt.xlabel(\"False Positive Rate\")\n","plt.ylabel(\"True Positive Rate\")\n","plt.title(\"ROC-AUC Curve\")\n","\n","plt.legend()\n","plt.grid(True)\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR,\"roc_auc_curve.png\"),\n"," dpi=300,\n"," bbox_inches='tight'\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":410},"id":"JJO0nbq1FPdk","executionInfo":{"status":"ok","timestamp":1774368932089,"user_tz":-330,"elapsed":1333,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"79bbb94d-be91-453a-f3be-5ab5d4d561df"},"execution_count":21,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["pred = (p>0.5).astype(int)\n","\n","cm = confusion_matrix(y,pred)\n","\n","plt.figure(figsize=(6,4))\n","sns.heatmap(cm,annot=True,fmt=\"d\",cmap=\"Blues\")\n","\n","plt.xlabel(\"Predicted\")\n","plt.ylabel(\"Actual\")\n","plt.title(\"Confusion Matrix\")\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR,\"confusion_matrix.png\"),\n"," dpi=300,\n"," bbox_inches='tight'\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":410},"id":"UoZT6D0PFUTL","executionInfo":{"status":"ok","timestamp":1774368935777,"user_tz":-330,"elapsed":669,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"e46483cf-7581-498a-e674-acfda67d9032"},"execution_count":22,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["precision,recall,_ = precision_recall_curve(y,p)\n","\n","plt.figure(figsize=(6,4))\n","\n","plt.plot(recall,precision)\n","\n","plt.xlabel(\"Recall\")\n","plt.ylabel(\"Precision\")\n","plt.title(\"Precision Recall Curve\")\n","\n","plt.grid(True)\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR,\"precision_recall_curve.png\"),\n"," dpi=300,\n"," bbox_inches='tight'\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":410},"id":"qOpIkcYaFrUD","executionInfo":{"status":"ok","timestamp":1774368938905,"user_tz":-330,"elapsed":801,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"0e90cbfe-657d-4e26-fc03-41853ce91660"},"execution_count":23,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["plt.figure(figsize=(6,4))\n","\n","plt.plot(h.history['accuracy'],label=\"Train\")\n","plt.plot(h.history['val_accuracy'],label=\"Validation\")\n","\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Accuracy\")\n","plt.title(\"Training vs Validation Accuracy\")\n","plt.legend()\n","plt.grid(True)\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR,\"train_val_accuracy.png\"),\n"," dpi=300,\n"," bbox_inches='tight'\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":410},"id":"1o3TDcEUFt4h","executionInfo":{"status":"ok","timestamp":1774368942500,"user_tz":-330,"elapsed":796,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"6a668d8d-eb0a-422f-c670-fa4dbe5f3428"},"execution_count":24,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["# ===============================\n","# Training vs Validation Loss Curve\n","# ===============================\n","\n","plt.figure(figsize=(6,4))\n","\n","plt.plot(h.history['loss'], label=\"Train Loss\")\n","plt.plot(h.history['val_loss'], label=\"Validation Loss\")\n","\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Loss\")\n","plt.title(\"Training vs Validation Loss\")\n","\n","plt.legend()\n","plt.grid(True)\n","\n","plt.savefig(\n"," os.path.join(FIG_DIR, \"train_val_loss.png\"),\n"," dpi=300,\n"," bbox_inches='tight'\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":410},"id":"92A8qwrJFwaL","executionInfo":{"status":"ok","timestamp":1774368945674,"user_tz":-330,"elapsed":1179,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"265490cb-5c00-4b24-8c25-d2934b4895f1"},"execution_count":25,"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# ===============================\n","# Save Trained Models\n","# ===============================\n","\n","model.save(os.path.join(MODEL_DIR,\"best_model_full.h5\"))\n","\n","print(\"Model saved to Drive.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":211},"id":"pbbN-MuhGCMc","executionInfo":{"status":"error","timestamp":1774368947021,"user_tz":-330,"elapsed":27,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"f347c273-8016-47e3-ac17-429af99816ec"},"execution_count":26,"outputs":[{"output_type":"error","ename":"NameError","evalue":"name 'model' is not defined","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_4192/580562181.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;31m# ===============================\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mMODEL_DIR\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"best_model_full.h5\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Model saved to Drive.\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'model' is not defined"]}]},{"cell_type":"code","source":["# ===============================\n","# Check Saved Files in Drive\n","# ===============================\n","\n","print(\"Dataset Splits:\")\n","print(os.listdir(SPLIT_DIR))\n","\n","print(\"\\nFigures:\")\n","print(os.listdir(FIG_DIR))\n","\n","print(\"\\nModels:\")\n","print(os.listdir(MODEL_DIR))\n","\n","print(\"\\nTables:\")\n","print(os.listdir(TABLE_DIR))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"zY4jNZ-PGJXN","executionInfo":{"status":"ok","timestamp":1774368949294,"user_tz":-330,"elapsed":22,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"698e40e9-6179-4cf0-9528-e19ac41a04ef"},"execution_count":27,"outputs":[{"output_type":"stream","name":"stdout","text":["Dataset Splits:\n","['train_split.csv', 'valid_split.csv', 'test_split.csv']\n","\n","Figures:\n","['dataset_language_pie.png', 'combined_roc_auc_curve.png', 'roc_auc_curve.png', 'confusion_matrix.png', 'precision_recall_curve.png', 'train_val_accuracy.png', 'train_val_loss.png', 'full_accuracy.png', 'full_loss.png', 'full_cm.png', 'full_roc.png', 'full_pr.png', 'full_f1.png', 'english_accuracy.png', 'english_loss.png', 'english_cm.png', 'english_roc.png', 'english_pr.png', 'english_f1.png', 'hindi_accuracy.png', 'hindi_loss.png', 'hindi_cm.png', 'hindi_roc.png', 'hindi_pr.png', 'hindi_f1.png', 'hinglish_accuracy.png', 'hinglish_loss.png', 'hinglish_cm.png', 'hinglish_roc.png', 'hinglish_pr.png', 'hinglish_f1.png']\n","\n","Models:\n","[]\n","\n","Tables:\n","['results_table.csv']\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"wH_odjfJGMUn"},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/phase6/notebooks/glove_bilstm_sequential.ipynb b/phase6/notebooks/glove_bilstm_sequential.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..1ddf70d9c5946520d3c875e4c82f324392dde085 --- /dev/null +++ b/phase6/notebooks/glove_bilstm_sequential.ipynb @@ -0,0 +1 @@ +{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyOcT2nUEYSS0z0LNuHZBq8V"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"id":"zAhGRiB_2iiL","executionInfo":{"status":"ok","timestamp":1773843794274,"user_tz":-330,"elapsed":6958,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"outputs":[],"source":["# Install required libraries\n","!pip install -q tensorflow scikit-learn seaborn tqdm"]},{"cell_type":"code","source":["import os\n","import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import (accuracy_score, balanced_accuracy_score,\n"," precision_score, recall_score, f1_score,\n"," roc_auc_score, confusion_matrix,\n"," precision_recall_curve, roc_curve)\n","\n","import tensorflow as tf\n","from tensorflow.keras.models import Model\n","from tensorflow.keras.layers import (Embedding, Bidirectional, LSTM,\n"," Dense, Dropout, SpatialDropout1D,\n"," Input)\n","from tensorflow.keras.preprocessing.text import Tokenizer\n","from tensorflow.keras.preprocessing.sequence import pad_sequences\n","\n","from google.colab import drive"],"metadata":{"id":"z4ttz-wO2yNN","executionInfo":{"status":"ok","timestamp":1773843814338,"user_tz":-330,"elapsed":20056,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4Ajy7yCe2_hD","executionInfo":{"status":"ok","timestamp":1773843854058,"user_tz":-330,"elapsed":39715,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"27b5706f-a8ee-4ec5-8053-1dce265e9f6b"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["base_path = \"/content/drive/MyDrive/nprism/glove_bil_np\"\n","\n","folders = [\n"," \"dataset_split\",\n"," \"figures\",\n"," \"models\",\n"," \"logs\",\n"," \"results\"\n","]\n","\n","for f in folders:\n"," os.makedirs(os.path.join(base_path, f), exist_ok=True)\n","\n","print(\"Folders created successfully.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_cXA7oQX3Js9","executionInfo":{"status":"ok","timestamp":1773843854751,"user_tz":-330,"elapsed":698,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"0070b8e2-1780-4b23-b500-b0707dcc47ac"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["Folders created successfully.\n"]}]},{"cell_type":"code","source":["# load dataset\n","data = pd.read_csv(\"/content/drive/MyDrive/Project_nlp/datasets/nprism - nprism.csv\")\n","\n","print(\"Dataset Shape:\", data.shape)\n","data.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":223},"id":"qsH-izTI3PT8","executionInfo":{"status":"ok","timestamp":1773843855805,"user_tz":-330,"elapsed":1053,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"d52ce65b-54ec-42cd-d2b2-d0f2be011dbd"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["Dataset Shape: (29506, 5)\n"]},{"output_type":"execute_result","data":{"text/plain":[" clean_text hate_label language \\\n","0 Knowing ki Vikas kitna samjhata hai Priyanka a... 0 hinglish \n","1 I am Muhajir .. Aur mere lye sab se Pehly Paki... 0 hinglish \n","2 Doctor sab sahi me ke PhD (in hate politics) w... 0 hinglish \n","3 Poore Desh me Patel OBC me aate Hain sirf gujr... 0 hinglish \n","4 Sarkar banne ke bad Hindu hit me ek bhi faisla... 1 hinglish \n","\n"," text_length word_count \n","0 126 25 \n","1 196 41 \n","2 166 29 \n","3 257 49 \n","4 140 25 "],"text/html":["\n","
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clean_texthate_labellanguagetext_lengthword_count
0Knowing ki Vikas kitna samjhata hai Priyanka a...0hinglish12625
1I am Muhajir .. Aur mere lye sab se Pehly Paki...0hinglish19641
2Doctor sab sahi me ke PhD (in hate politics) w...0hinglish16629
3Poore Desh me Patel OBC me aate Hain sirf gujr...0hinglish25749
4Sarkar banne ke bad Hindu hit me ek bhi faisla...1hinglish14025
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"data","summary":"{\n \"name\": \"data\",\n \"rows\": 29506,\n \"fields\": [\n {\n \"column\": \"clean_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 29506,\n \"samples\": [\n \"Khatmalo ko maar maar kar khoon jaama karne se .. blood bank nahin ban jaata sir aaj kal party me aesa hi kuch ho raha hai\",\n \"my worse bitch looks better than your main bitch now that is bad right there laughing out loud\",\n \"they could just be people on holiday\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"hate_label\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"language\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"hinglish\",\n \"hindi\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"text_length\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 189,\n \"min\": 1,\n \"max\": 1926,\n \"num_unique_values\": 1191,\n \"samples\": [\n 752,\n 225\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"word_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 34,\n \"min\": 1,\n \"max\": 300,\n \"num_unique_values\": 291,\n \"samples\": [\n 128,\n 237\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":5}]},{"cell_type":"code","source":["print(data['language'].value_counts())\n","print(data['hate_label'].value_counts())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gAboyphe3bz-","executionInfo":{"status":"ok","timestamp":1773843855827,"user_tz":-330,"elapsed":9,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"0756a565-07f1-42f8-e4f8-10a7116938cd"},"execution_count":6,"outputs":[{"output_type":"stream","name":"stdout","text":["language\n","english 14994\n","hindi 9738\n","hinglish 4774\n","Name: count, dtype: int64\n","hate_label\n","0 15799\n","1 13707\n","Name: count, dtype: int64\n"]}]},{"cell_type":"code","source":["plt.figure(figsize=(6,6))\n","data['language'].value_counts().plot.pie(autopct='%1.1f%%')\n","plt.title(\"Language Distribution\")\n","plt.ylabel(\"\")\n","plt.savefig(base_path+\"/figures/language_distribution.png\", dpi=300)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":521},"id":"GoWI25UM3fIw","executionInfo":{"status":"ok","timestamp":1773843857016,"user_tz":-330,"elapsed":1174,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"b51e1e50-b4da-4f81-a086-d49daa880a73"},"execution_count":7,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["train_val, test = train_test_split(\n"," data, test_size=0.30, stratify=data['hate_label'], random_state=42)\n","\n","train, valid = train_test_split(\n"," train_val, test_size=0.1428, stratify=train_val['hate_label'], random_state=42)\n","\n","print(\"Train:\", train.shape)\n","print(\"Validation:\", valid.shape)\n","print(\"Test:\", test.shape)\n","\n","train.to_csv(base_path+\"/dataset_split/train.csv\", index=False)\n","valid.to_csv(base_path+\"/dataset_split/valid.csv\", index=False)\n","test.to_csv(base_path+\"/dataset_split/test.csv\", index=False)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8j9o6auj3iiE","executionInfo":{"status":"ok","timestamp":1773843858673,"user_tz":-330,"elapsed":1632,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"988f3cb9-9735-4aed-c871-05ae025bfb41"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["Train: (17704, 5)\n","Validation: (2950, 5)\n","Test: (8852, 5)\n"]}]},{"cell_type":"code","source":["MAX_WORDS = 50000\n","MAX_LEN = 100\n","\n","tokenizer = Tokenizer(num_words=MAX_WORDS)\n","\n","# ✔️ ONLY TRAIN DATA\n","tokenizer.fit_on_texts(train['clean_text'])\n","\n","def prepare(texts):\n"," seq = tokenizer.texts_to_sequences(texts)\n"," return pad_sequences(seq, maxlen=MAX_LEN)\n","\n","X_train = prepare(train['clean_text'])\n","X_valid = prepare(valid['clean_text'])\n","X_test = prepare(test['clean_text'])\n","\n","y_train = train['hate_label'].values\n","y_valid = valid['hate_label'].values\n","y_test = test['hate_label'].values"],"metadata":{"id":"qwm5OZ_Y3l21","executionInfo":{"status":"ok","timestamp":1773843860424,"user_tz":-330,"elapsed":1749,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["!wget -nc https://nlp.stanford.edu/data/glove.6B.zip"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_EZFm7YM4DbD","executionInfo":{"status":"ok","timestamp":1773844021411,"user_tz":-330,"elapsed":160981,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"abee9c6a-047c-4b7d-f98c-19d2a98df0e5"},"execution_count":10,"outputs":[{"output_type":"stream","name":"stdout","text":["--2026-03-18 14:24:18-- https://nlp.stanford.edu/data/glove.6B.zip\n","Resolving nlp.stanford.edu (nlp.stanford.edu)... 171.64.67.140\n","Connecting to nlp.stanford.edu (nlp.stanford.edu)|171.64.67.140|:443... connected.\n","HTTP request sent, awaiting response... 301 Moved Permanently\n","Location: https://downloads.cs.stanford.edu/nlp/data/glove.6B.zip [following]\n","--2026-03-18 14:24:18-- https://downloads.cs.stanford.edu/nlp/data/glove.6B.zip\n","Resolving downloads.cs.stanford.edu (downloads.cs.stanford.edu)... 171.64.64.22\n","Connecting to downloads.cs.stanford.edu (downloads.cs.stanford.edu)|171.64.64.22|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 862182613 (822M) [application/zip]\n","Saving to: ‘glove.6B.zip’\n","\n","glove.6B.zip 100%[===================>] 822.24M 4.93MB/s in 2m 41s \n","\n","2026-03-18 14:26:59 (5.12 MB/s) - ‘glove.6B.zip’ saved [862182613/862182613]\n","\n"]}]},{"cell_type":"code","source":["!unzip -o glove.6B.zip glove.6B.100d.txt"],"metadata":{"id":"pV-6KlrL4OPD","executionInfo":{"status":"ok","timestamp":1773844025439,"user_tz":-330,"elapsed":4025,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"90e8bbfa-9b7e-483a-f0d4-b123dab3ed6b"},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["Archive: glove.6B.zip\n"," inflating: glove.6B.100d.txt \n"]}]},{"cell_type":"code","source":["!unzip -o glove.6B.zip glove.6B.300d.txt"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"axvzs5jB8iE4","executionInfo":{"status":"ok","timestamp":1773844038258,"user_tz":-330,"elapsed":12796,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"a3e8e559-0c64-4005-eac7-3111fe5807a5"},"execution_count":12,"outputs":[{"output_type":"stream","name":"stdout","text":["Archive: glove.6B.zip\n"," inflating: glove.6B.300d.txt \n"]}]},{"cell_type":"code","source":["from tensorflow.keras.layers import Layer\n","import tensorflow.keras.backend as K\n","\n","class Attention(Layer):\n","\n"," def build(self, input_shape):\n"," self.W = self.add_weight(name=\"att_weight\",\n"," shape=(input_shape[-1],1),\n"," initializer=\"normal\")\n"," self.b = self.add_weight(name=\"att_bias\",\n"," shape=(input_shape[1],1),\n"," initializer=\"zeros\")\n"," super().build(input_shape)\n","\n"," def call(self,x):\n"," e = K.tanh(K.dot(x,self.W)+self.b)\n"," a = K.softmax(e,axis=1)\n"," output = x*a\n"," return K.sum(output,axis=1)"],"metadata":{"id":"lIUvYBnV3o_E","executionInfo":{"status":"ok","timestamp":1773844038301,"user_tz":-330,"elapsed":39,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":13,"outputs":[]},{"cell_type":"code","source":["embedding_matrix = np.zeros((MAX_WORDS, 100)) # example"],"metadata":{"id":"6OPiif5S9-aE","executionInfo":{"status":"ok","timestamp":1773844038302,"user_tz":-330,"elapsed":39,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":14,"outputs":[]},{"cell_type":"code","source":["embedding_dim = embedding_matrix.shape[1]"],"metadata":{"id":"Qv3zsWMG-AsY","executionInfo":{"status":"ok","timestamp":1773844038303,"user_tz":-330,"elapsed":7,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":15,"outputs":[]},{"cell_type":"code","source":["input_layer = Input(shape=(MAX_LEN,))\n","\n","x = Embedding(\n"," MAX_WORDS,\n"," embedding_dim,\n"," weights=[embedding_matrix],\n"," trainable=True\n",")(input_layer)\n","\n","x = SpatialDropout1D(0.3)(x)\n","\n","x = Bidirectional(LSTM(128, return_sequences=True))(x)\n","\n","x = Attention()(x)\n","\n","x = Dense(64, activation='relu')(x)\n","\n","x = Dropout(0.4)(x)\n","\n","output = Dense(1, activation='sigmoid')(x)\n","\n","model = Model(inputs=input_layer, outputs=output)\n","\n","model.compile(\n"," optimizer=tf.keras.optimizers.Adam(learning_rate=0.0005),\n"," loss='binary_crossentropy',\n"," metrics=['accuracy']\n",")\n","\n","model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":401},"id":"-7sM2UfN-C6R","executionInfo":{"status":"ok","timestamp":1773844042159,"user_tz":-330,"elapsed":3860,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"6c2101f3-5802-4333-d24f-1fb10ad48ee4"},"execution_count":16,"outputs":[{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"functional\"\u001b[0m\n"],"text/html":["
Model: \"functional\"\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ input_layer (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ embedding (\u001b[38;5;33mEmbedding\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m100\u001b[0m) │ \u001b[38;5;34m5,000,000\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ spatial_dropout1d │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m100\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mSpatialDropout1D\u001b[0m) │ │ │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional (\u001b[38;5;33mBidirectional\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m234,496\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ attention (\u001b[38;5;33mAttention\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m356\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m16,448\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_1 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m65\u001b[0m │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n"],"text/html":["
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ input_layer (InputLayer)        │ (None, 100)            │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ embedding (Embedding)           │ (None, 100, 100)       │     5,000,000 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ spatial_dropout1d               │ (None, 100, 100)       │             0 │\n","│ (SpatialDropout1D)              │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional (Bidirectional)   │ (None, 100, 256)       │       234,496 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ attention (Attention)           │ (None, 256)            │           356 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense (Dense)                   │ (None, 64)             │        16,448 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout (Dropout)               │ (None, 64)             │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_1 (Dense)                 │ (None, 1)              │            65 │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m5,251,365\u001b[0m (20.03 MB)\n"],"text/html":["
 Total params: 5,251,365 (20.03 MB)\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m5,251,365\u001b[0m (20.03 MB)\n"],"text/html":["
 Trainable params: 5,251,365 (20.03 MB)\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"],"text/html":["
 Non-trainable params: 0 (0.00 B)\n","
\n"]},"metadata":{}}]},{"cell_type":"code","source":["embedding_index = {}\n","\n","with open(\"/content/glove.6B.300d.txt\", encoding=\"utf8\") as f:\n"," for line in f:\n"," values = line.split()\n"," word = values[0]\n"," vector = np.asarray(values[1:], dtype='float32')\n"," embedding_index[word] = vector\n","\n","print(\"Loaded embeddings:\", len(embedding_index))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"6hen9xMH_Cro","executionInfo":{"status":"ok","timestamp":1773844069418,"user_tz":-330,"elapsed":27248,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"7bbe25a2-f652-4903-9723-f9d848023dd0"},"execution_count":17,"outputs":[{"output_type":"stream","name":"stdout","text":["Loaded embeddings: 400000\n"]}]},{"cell_type":"code","source":["embedding_dim = 300\n","word_index = tokenizer.word_index\n","\n","embedding_matrix = np.zeros((MAX_WORDS, embedding_dim))\n","\n","for word, i in word_index.items():\n"," if i >= MAX_WORDS:\n"," continue\n"," vec = embedding_index.get(word)\n"," if vec is not None:\n"," embedding_matrix[i] = vec"],"metadata":{"id":"eS6bOTR0--i2","executionInfo":{"status":"ok","timestamp":1773844069527,"user_tz":-330,"elapsed":106,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":18,"outputs":[]},{"cell_type":"code","source":["input_layer = Input(shape=(MAX_LEN,))\n","\n","x = Embedding(MAX_WORDS, embedding_dim,\n"," weights=[embedding_matrix],\n"," trainable=False)(input_layer)\n","\n","x = SpatialDropout1D(0.3)(x)\n","\n","x = Bidirectional(LSTM(128, return_sequences=True))(x)\n","x = Bidirectional(LSTM(64))(x)\n","\n","x = Dropout(0.4)(x)\n","\n","x = Dense(32, activation='relu')(x)\n","output = Dense(1, activation='sigmoid')(x)\n","\n","model = Model(inputs=input_layer, outputs=output)\n","\n","model.compile(\n"," optimizer='adam',\n"," loss='binary_crossentropy',\n"," metrics=['accuracy']\n",")\n","\n","model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":401},"id":"YvUzRKUB5jXR","executionInfo":{"status":"ok","timestamp":1773844069954,"user_tz":-330,"elapsed":424,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"31a2c41c-e6fc-455f-e384-f6ab43d34104"},"execution_count":19,"outputs":[{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"functional_1\"\u001b[0m\n"],"text/html":["
Model: \"functional_1\"\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ input_layer_1 (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ embedding_1 (\u001b[38;5;33mEmbedding\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m300\u001b[0m) │ \u001b[38;5;34m15,000,000\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ spatial_dropout1d_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m300\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mSpatialDropout1D\u001b[0m) │ │ │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional_1 (\u001b[38;5;33mBidirectional\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m439,296\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional_2 (\u001b[38;5;33mBidirectional\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m164,352\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_2 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m4,128\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_3 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m33\u001b[0m │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n"],"text/html":["
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ input_layer_1 (InputLayer)      │ (None, 100)            │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ embedding_1 (Embedding)         │ (None, 100, 300)       │    15,000,000 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ spatial_dropout1d_1             │ (None, 100, 300)       │             0 │\n","│ (SpatialDropout1D)              │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional_1 (Bidirectional) │ (None, 100, 256)       │       439,296 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional_2 (Bidirectional) │ (None, 128)            │       164,352 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_1 (Dropout)             │ (None, 128)            │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_2 (Dense)                 │ (None, 32)             │         4,128 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_3 (Dense)                 │ (None, 1)              │            33 │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m15,607,809\u001b[0m (59.54 MB)\n"],"text/html":["
 Total params: 15,607,809 (59.54 MB)\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m607,809\u001b[0m (2.32 MB)\n"],"text/html":["
 Trainable params: 607,809 (2.32 MB)\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m15,000,000\u001b[0m (57.22 MB)\n"],"text/html":["
 Non-trainable params: 15,000,000 (57.22 MB)\n","
\n"]},"metadata":{}}]},{"cell_type":"code","source":["def compute_metrics(y_true, y_pred_prob):\n","\n"," y_pred = (y_pred_prob > 0.5).astype(int)\n","\n"," acc = accuracy_score(y_true, y_pred)\n"," bal = balanced_accuracy_score(y_true, y_pred)\n"," prec = precision_score(y_true, y_pred)\n"," rec = recall_score(y_true, y_pred)\n"," f1 = f1_score(y_true, y_pred)\n"," auc = roc_auc_score(y_true, y_pred_prob)\n","\n"," tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()\n"," spec = tn/(tn+fp)\n","\n"," return acc, bal, prec, rec, spec, f1, auc"],"metadata":{"id":"wPsb0YY25nL0","executionInfo":{"status":"ok","timestamp":1773844069976,"user_tz":-330,"elapsed":21,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":20,"outputs":[]},{"cell_type":"code","source":["from sklearn.utils.class_weight import compute_class_weight\n","\n","classes = np.unique(y_train)\n","\n","weights = compute_class_weight(\n"," class_weight='balanced',\n"," classes=classes,\n"," y=y_train\n",")\n","\n","class_weights = dict(zip(classes,weights))\n","\n","print(class_weights)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"goUpd_up_ZF6","executionInfo":{"status":"ok","timestamp":1773844069988,"user_tz":-330,"elapsed":8,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"7a0fc330-310b-4676-ba1b-0d5b28b7da68"},"execution_count":21,"outputs":[{"output_type":"stream","name":"stdout","text":["{np.int64(0): np.float64(0.9338537820445194), np.int64(1): np.float64(1.0762310030395137)}\n"]}]},{"cell_type":"code","source":["strategies = [\n"," (\"English\", train[train.language==\"english\"]),\n"," (\"Hindi\", train[train.language==\"hindi\"]),\n"," (\"Hinglish\", train[train.language==\"hinglish\"])\n","]\n","\n","epoch_start = 1\n","\n","for name, subset in strategies:\n","\n"," print(f\"\\nTraining on: {name}\")\n","\n"," # ✔ Prepare ONLY subset training data\n"," X_sub = prepare(subset['clean_text'])\n"," y_sub = subset['hate_label'].values\n","\n"," # ✔ Train incrementally\n"," history = model.fit(\n"," X_sub, y_sub,\n"," validation_data=(X_valid, y_valid), # safe (never trained on)\n"," epochs=epoch_start + 7,\n"," initial_epoch=epoch_start,\n"," batch_size=32,\n"," class_weight=class_weights,\n"," verbose=1\n"," )\n","\n"," epoch_start += 8"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8INzPi7d5qW4","executionInfo":{"status":"ok","timestamp":1773844211453,"user_tz":-330,"elapsed":141453,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"06203be7-7bd6-4778-cb2d-f44938a60988"},"execution_count":22,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Training on: English\n","Epoch 2/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 37ms/step - accuracy: 0.6835 - loss: 0.5859 - val_accuracy: 0.5831 - val_loss: 0.7252\n","Epoch 3/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 32ms/step - accuracy: 0.7520 - loss: 0.5035 - val_accuracy: 0.5976 - val_loss: 0.7164\n","Epoch 4/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 25ms/step - accuracy: 0.7721 - loss: 0.4755 - val_accuracy: 0.6003 - val_loss: 0.7879\n","Epoch 5/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 29ms/step - accuracy: 0.7920 - loss: 0.4433 - val_accuracy: 0.6044 - val_loss: 0.7875\n","Epoch 6/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 29ms/step - accuracy: 0.8042 - loss: 0.4238 - val_accuracy: 0.6403 - val_loss: 0.9634\n","Epoch 7/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 29ms/step - accuracy: 0.8236 - loss: 0.3871 - val_accuracy: 0.6203 - val_loss: 1.0998\n","Epoch 8/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 32ms/step - accuracy: 0.8345 - loss: 0.3632 - val_accuracy: 0.6407 - val_loss: 1.1243\n","\n","Training on: Hindi\n","Epoch 10/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 29ms/step - accuracy: 0.5249 - loss: 0.7090 - val_accuracy: 0.6403 - val_loss: 0.6383\n","Epoch 11/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 29ms/step - accuracy: 0.5379 - loss: 0.6915 - val_accuracy: 0.6159 - val_loss: 0.6546\n","Epoch 12/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 37ms/step - accuracy: 0.5360 - loss: 0.6915 - val_accuracy: 0.5847 - val_loss: 0.6533\n","Epoch 13/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 26ms/step - accuracy: 0.5440 - loss: 0.6912 - val_accuracy: 0.5824 - val_loss: 0.6524\n","Epoch 14/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 30ms/step - accuracy: 0.5507 - loss: 0.6911 - val_accuracy: 0.5807 - val_loss: 0.6540\n","Epoch 15/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 32ms/step - accuracy: 0.5514 - loss: 0.6908 - val_accuracy: 0.5908 - val_loss: 0.6507\n","Epoch 16/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 26ms/step - accuracy: 0.5411 - loss: 0.6908 - val_accuracy: 0.5936 - val_loss: 0.6505\n","\n","Training on: Hinglish\n","Epoch 18/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 34ms/step - accuracy: 0.6071 - loss: 0.6795 - val_accuracy: 0.5732 - val_loss: 0.6518\n","Epoch 19/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - accuracy: 0.6119 - loss: 0.6724 - val_accuracy: 0.5786 - val_loss: 0.6506\n","Epoch 20/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 31ms/step - accuracy: 0.6213 - loss: 0.6637 - val_accuracy: 0.6295 - val_loss: 0.6328\n","Epoch 21/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 31ms/step - accuracy: 0.6446 - loss: 0.6512 - val_accuracy: 0.6003 - val_loss: 0.7036\n","Epoch 22/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 31ms/step - accuracy: 0.6748 - loss: 0.6184 - val_accuracy: 0.6003 - val_loss: 0.8406\n","Epoch 23/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 38ms/step - accuracy: 0.7018 - loss: 0.5957 - val_accuracy: 0.5993 - val_loss: 1.0682\n","Epoch 24/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 44ms/step - accuracy: 0.7268 - loss: 0.5510 - val_accuracy: 0.5688 - val_loss: 1.2706\n"]}]},{"cell_type":"code","source":["model.save(base_path + \"/models/model_epoch30.h5\")\n","print(\"Model saved after Hinglish training\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oZRILZ3E9cO-","executionInfo":{"status":"ok","timestamp":1773844215205,"user_tz":-330,"elapsed":3745,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"1f0c22f4-17dc-4538-af11-c57bdda59492"},"execution_count":23,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["Model saved after Hinglish training\n"]}]},{"cell_type":"code","source":["# rebuild model\n","input_layer = Input(shape=(MAX_LEN,))\n","\n","x = Embedding(MAX_WORDS, embedding_dim,\n"," weights=[embedding_matrix],\n"," trainable=True)(input_layer)\n","\n","x = SpatialDropout1D(0.3)(x)\n","\n","x = Bidirectional(LSTM(128, return_sequences=True))(x)\n","x = Bidirectional(LSTM(64))(x)\n","\n","x = Dropout(0.4)(x)\n","\n","x = Dense(32, activation='relu')(x)\n","output = Dense(1, activation='sigmoid')(x)\n","\n","model = Model(inputs=input_layer, outputs=output)\n","\n","model.compile(\n"," optimizer='adam',\n"," loss='binary_crossentropy',\n"," metrics=['accuracy']\n",")"],"metadata":{"id":"avqg_dI_9ggq","executionInfo":{"status":"ok","timestamp":1773844215463,"user_tz":-330,"elapsed":251,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":24,"outputs":[]},{"cell_type":"code","source":["model.load_weights(base_path + \"/models/model_epoch30.h5\")\n","\n","print(\"Weights loaded successfully\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2Q0PvCgt9j3e","executionInfo":{"status":"ok","timestamp":1773844215669,"user_tz":-330,"elapsed":201,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"c463e902-3180-4dea-e6bd-253777af85fd"},"execution_count":25,"outputs":[{"output_type":"stream","name":"stdout","text":["Weights loaded successfully\n"]}]},{"cell_type":"code","source":["X_full = prepare(data['clean_text'])\n","y_full = data['hate_label'].values\n","\n","history_full = model.fit(\n"," X_full,\n"," y_full,\n"," validation_data=(X_valid, y_valid),\n"," epochs=32, # final epoch\n"," initial_epoch=24, # start from 25\n"," batch_size=32,\n"," verbose=1\n",")\n","\n","pred = model.predict(X_test)\n","\n","acc, bal, prec, rec, spec, f1, auc = compute_metrics(y_test, pred)\n","\n","results.append([\"Sequential Training\", epoch_start, acc, bal, prec, rec, spec, f1, auc])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":471},"id":"ciyDRqdD5sjt","executionInfo":{"status":"error","timestamp":1773845218586,"user_tz":-330,"elapsed":266402,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"1a1ec504-90ca-46f2-8d2f-4dedb47428ee"},"execution_count":30,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 25/32\n","\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 35ms/step - accuracy: 0.9730 - loss: 0.0582 - val_accuracy: 0.9803 - val_loss: 0.0415\n","Epoch 26/32\n","\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 34ms/step - accuracy: 0.9759 - loss: 0.0545 - val_accuracy: 0.9820 - val_loss: 0.0419\n","Epoch 27/32\n","\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 36ms/step - accuracy: 0.9766 - loss: 0.0517 - val_accuracy: 0.9831 - val_loss: 0.0364\n","Epoch 28/32\n","\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 34ms/step - accuracy: 0.9797 - loss: 0.0445 - val_accuracy: 0.9854 - val_loss: 0.0354\n","Epoch 29/32\n","\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 35ms/step - accuracy: 0.9804 - loss: 0.0441 - val_accuracy: 0.9868 - val_loss: 0.0315\n","Epoch 30/32\n","\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 36ms/step - accuracy: 0.9820 - loss: 0.0392 - val_accuracy: 0.9875 - val_loss: 0.0299\n","Epoch 31/32\n","\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 35ms/step - accuracy: 0.9840 - loss: 0.0366 - val_accuracy: 0.9892 - val_loss: 0.0248\n","Epoch 32/32\n","\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 35ms/step - accuracy: 0.9857 - loss: 0.0330 - val_accuracy: 0.9895 - val_loss: 0.0239\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 10ms/step\n"]},{"output_type":"error","ename":"NameError","evalue":"name 'results' is not defined","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_2936/64796262.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 16\u001b[0m \u001b[0macc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbal\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprec\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrec\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mspec\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mauc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompute_metrics\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpred\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0mresults\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Sequential Training\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepoch_start\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0macc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbal\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprec\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrec\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mspec\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mauc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;31mNameError\u001b[0m: name 'results' is not defined"]}]},{"cell_type":"code","source":["cols = [\"Strategy\",\"Best Epoch\",\"Accuracy\",\"Balanced Acc\",\n"," \"Precision\",\"Recall\",\"Specificity\",\"F1\",\"ROC-AUC\"]\n","\n","result_df = pd.DataFrame(results, columns=cols)\n","\n","result_df"],"metadata":{"id":"gprWmHC67LXt","executionInfo":{"status":"aborted","timestamp":1773844479751,"user_tz":-330,"elapsed":692713,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["fpr,tpr,_ = roc_curve(y_test,pred)\n","\n","plt.figure(figsize=(6,4))\n","plt.plot(fpr,tpr,label=\"ROC\")\n","plt.plot([0,1],[0,1],'--')\n","plt.grid()\n","plt.legend()\n","plt.title(\"ROC Curve\")\n","\n","plt.savefig(base_path+\"/figures/roc_curve.png\",dpi=300)\n","plt.show()"],"metadata":{"id":"9orEdOMR-i0c","executionInfo":{"status":"aborted","timestamp":1773844479875,"user_tz":-330,"elapsed":692832,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["y_pred = (pred>0.5).astype(int)\n","\n","cm = confusion_matrix(y_test,y_pred)\n","\n","plt.figure(figsize=(6,4))\n","sns.heatmap(cm,annot=True,fmt='d',cmap=\"Blues\")\n","plt.xlabel(\"Predicted\")\n","plt.ylabel(\"Actual\")\n","\n","plt.savefig(base_path+\"/figures/confusion_matrix.png\",dpi=300)\n","plt.show()"],"metadata":{"id":"2IzrdH1E-m8N","executionInfo":{"status":"aborted","timestamp":1773844479899,"user_tz":-330,"elapsed":692851,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["p,r,_ = precision_recall_curve(y_test,pred)\n","\n","plt.figure(figsize=(6,4))\n","plt.plot(r,p)\n","plt.grid()\n","plt.title(\"Precision Recall Curve\")\n","\n","plt.savefig(base_path+\"/figures/pr_curve.png\",dpi=300)\n","plt.show()"],"metadata":{"id":"o5wZM2Cn-pLY","executionInfo":{"status":"aborted","timestamp":1773844479904,"user_tz":-330,"elapsed":692851,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["plt.figure(figsize=(8,6))\n","\n","plt.plot(history.history['accuracy'],label=\"Train\")\n","plt.plot(history.history['val_accuracy'],label=\"Validation\")\n","\n","plt.grid()\n","plt.legend()\n","plt.title(\"Training vs Validation Accuracy\")\n","\n","plt.savefig(base_path+\"/figures/training_accuracy.png\",dpi=300)\n","plt.show()"],"metadata":{"id":"KBA9CImX-rSN","executionInfo":{"status":"aborted","timestamp":1773844479909,"user_tz":-330,"elapsed":692850,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["plt.figure(figsize=(8,6))\n","\n","plt.plot(history.history['loss'],label=\"Train\")\n","plt.plot(history.history['val_loss'],label=\"Validation\")\n","\n","plt.grid()\n","plt.legend()\n","plt.title(\"Training vs Validation Loss\")\n","\n","plt.savefig(base_path+\"/figures/training_loss.png\",dpi=300)\n","plt.show()"],"metadata":{"id":"5FFz5GJF-3cT","executionInfo":{"status":"aborted","timestamp":1773844479911,"user_tz":-330,"elapsed":692846,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["plt.figure(figsize=(6,4))\n","\n","sns.countplot(data=data,x=\"language\",hue=\"hate_label\")\n","\n","plt.title(\"Language vs Hate Label Distribution\")\n","\n","plt.savefig(base_path+\"/figures/language_label.png\",dpi=300)\n","\n","plt.show()"],"metadata":{"id":"wCua-X4s-6Ta","executionInfo":{"status":"aborted","timestamp":1773844479913,"user_tz":-330,"elapsed":692843,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Create result dataframe\n","cols = [\"Strategy\",\"Best Epoch\",\"Accuracy\",\"Balanced Acc\",\n"," \"Precision\",\"Recall\",\"Specificity\",\"F1\",\"ROC-AUC\"]\n","\n","result_df = pd.DataFrame(results, columns=cols)\n","\n","print(result_df)\n","\n","# Save to drive\n","result_path = base_path + \"/results/final_results.csv\"\n","result_df.to_csv(result_path, index=False)\n","\n","print(\"Results saved to:\", result_path)"],"metadata":{"id":"eohj6vf_-9Ju","executionInfo":{"status":"aborted","timestamp":1773844479915,"user_tz":-330,"elapsed":692840,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["excel_path = base_path + \"/results/final_results.xlsx\"\n","result_df.to_excel(excel_path, index=False)\n","\n","print(\"Excel result saved to:\", excel_path)"],"metadata":{"id":"TGsO2YIlJZ27","executionInfo":{"status":"aborted","timestamp":1773844479916,"user_tz":-330,"elapsed":692837,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["with open(base_path+\"/logs/result_log.txt\",\"w\") as f:\n"," f.write(result_df.to_string())\n","\n","print(\"Result log saved.\")"],"metadata":{"id":"q9Xk3dNKJdN9","executionInfo":{"status":"aborted","timestamp":1773844479916,"user_tz":-330,"elapsed":692832,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["pd.DataFrame(results, columns=cols).to_csv(base_path+\"/results/temp_results.csv\", index=False)"],"metadata":{"id":"ShqgyjfFJgIs","executionInfo":{"status":"aborted","timestamp":1773844479918,"user_tz":-330,"elapsed":692834,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"cE-42lr0Jl3X","executionInfo":{"status":"aborted","timestamp":1773844479920,"user_tz":-330,"elapsed":692835,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/phase6/notebooks/glove_bilstm_shap_xai.ipynb b/phase6/notebooks/glove_bilstm_shap_xai.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..fe7b6784fc9359117def1d7481a50ea1a53a7e64 --- /dev/null +++ b/phase6/notebooks/glove_bilstm_shap_xai.ipynb @@ -0,0 +1 @@ +{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyM1rwguSQMFBylC8paoemaS"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":32,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"9FN3Br2Sg0V0","executionInfo":{"status":"ok","timestamp":1774671874136,"user_tz":-330,"elapsed":2656,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"881f315e-7f66-4409-c6c6-742c47fb5438"},"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","source":["import os\n","BASE_DIR = \"/content/drive/MyDrive/Glove_bilstm_hhe\"\n","\n","folders = [\"models\", \"plots/hindi\", \"plots/hinglish\", \"plots/english\",\n"," \"results\", \"splits\", \"tokenizer\"]\n","\n","for f in folders:\n"," os.makedirs(os.path.join(BASE_DIR, f), exist_ok=True)"],"metadata":{"id":"enLeeWtkg-z1","executionInfo":{"status":"ok","timestamp":1774671875720,"user_tz":-330,"elapsed":14,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":33,"outputs":[]},{"cell_type":"code","source":["import pandas as pd\n","\n","df = pd.read_csv(\"/content/drive/MyDrive/datasets/nprism - nprism.csv\")\n","\n","df = df[['clean_text', 'hate_label', 'language']].dropna()\n","df['language'] = df['language'].str.lower()"],"metadata":{"id":"15ffyPzOhMbu","executionInfo":{"status":"ok","timestamp":1774671877281,"user_tz":-330,"elapsed":196,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":34,"outputs":[]},{"cell_type":"code","source":["from sklearn.model_selection import train_test_split\n","\n","def split_data(df_lang):\n"," train, temp = train_test_split(df_lang, test_size=0.4, stratify=df_lang['hate_label'], random_state=42)\n"," val, test = train_test_split(temp, test_size=0.75, stratify=temp['hate_label'], random_state=42)\n"," return train, val, test"],"metadata":{"id":"F0Nm3-QNhU7H","executionInfo":{"status":"ok","timestamp":1774671878354,"user_tz":-330,"elapsed":5,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":35,"outputs":[]},{"cell_type":"code","source":["from tensorflow.keras.preprocessing.text import Tokenizer\n","from tensorflow.keras.preprocessing.sequence import pad_sequences\n","\n","MAX_LEN = 128\n","VOCAB_SIZE = 50000\n","\n","tokenizer = Tokenizer(num_words=VOCAB_SIZE, oov_token=\"\")\n","tokenizer.fit_on_texts(df['clean_text'])\n","\n","import pickle\n","pickle.dump(tokenizer, open(BASE_DIR+\"/tokenizer/tokenizer.pkl\", \"wb\"))"],"metadata":{"id":"9tIZHYuthX-a","executionInfo":{"status":"ok","timestamp":1774671880480,"user_tz":-330,"elapsed":1027,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":36,"outputs":[]},{"cell_type":"code","source":["!wget http://nlp.stanford.edu/data/glove.6B.zip\n","!unzip glove.6B.zip"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2tNaxE9kht8H","executionInfo":{"status":"ok","timestamp":1774671940387,"user_tz":-330,"elapsed":58909,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"3840c28b-267b-44bc-b1ed-96df46008fdc"},"execution_count":37,"outputs":[{"output_type":"stream","name":"stdout","text":["--2026-03-28 04:24:40-- http://nlp.stanford.edu/data/glove.6B.zip\n","Resolving nlp.stanford.edu (nlp.stanford.edu)... 171.64.67.140\n","Connecting to nlp.stanford.edu (nlp.stanford.edu)|171.64.67.140|:80... connected.\n","HTTP request sent, awaiting response... 302 Found\n","Location: https://nlp.stanford.edu/data/glove.6B.zip [following]\n","--2026-03-28 04:24:41-- https://nlp.stanford.edu/data/glove.6B.zip\n","Connecting to nlp.stanford.edu (nlp.stanford.edu)|171.64.67.140|:443... connected.\n","HTTP request sent, awaiting response... 301 Moved Permanently\n","Location: https://downloads.cs.stanford.edu/nlp/data/glove.6B.zip [following]\n","--2026-03-28 04:24:41-- https://downloads.cs.stanford.edu/nlp/data/glove.6B.zip\n","Resolving downloads.cs.stanford.edu (downloads.cs.stanford.edu)... 171.64.64.22\n","Connecting to downloads.cs.stanford.edu (downloads.cs.stanford.edu)|171.64.64.22|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 862182613 (822M) [application/zip]\n","Saving to: ‘glove.6B.zip.2’\n","\n","glove.6B.zip.2 22%[===> ] 188.23M 4.24MB/s eta 2m 50s ^C\n","Archive: glove.6B.zip\n","replace glove.6B.50d.txt? [y]es, [n]o, [A]ll, [N]one, [r]ename: "]}]},{"cell_type":"code","source":["glove_path = \"/content/drive/MyDrive/glove.6B.100d.txt\""],"metadata":{"id":"k6ZLhPHoiM9T","executionInfo":{"status":"ok","timestamp":1774671955754,"user_tz":-330,"elapsed":27,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":38,"outputs":[]},{"cell_type":"code","source":["import numpy as np\n","\n","EMBEDDING_DIM = 100\n","glove_path = \"/content/drive/MyDrive/glove.6B.100d.txt\"\n","\n","embeddings_index = {}\n","with open(glove_path, encoding='utf-8') as f:\n"," for line in f:\n"," values = line.split()\n"," word = values[0]\n"," coefs = np.asarray(values[1:], dtype='float32')\n"," embeddings_index[word] = coefs\n","\n","word_index = tokenizer.word_index\n","embedding_matrix = np.zeros((VOCAB_SIZE, EMBEDDING_DIM))\n","\n","for word, i in word_index.items():\n"," if i < VOCAB_SIZE:\n"," vector = embeddings_index.get(word)\n"," if vector is not None:\n"," embedding_matrix[i] = vector"],"metadata":{"id":"N6fSZ4ovhavh","executionInfo":{"status":"ok","timestamp":1774671972032,"user_tz":-330,"elapsed":14415,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":39,"outputs":[]},{"cell_type":"code","source":["from tensorflow.keras.models import Sequential\n","from tensorflow.keras.layers import Embedding, Bidirectional, LSTM, Dense, Dropout\n","\n","def build_model():\n"," model = Sequential([\n"," Embedding(VOCAB_SIZE, EMBEDDING_DIM, weights=[embedding_matrix], input_length=MAX_LEN, trainable=False),\n"," Bidirectional(LSTM(128)),\n"," Dropout(0.5),\n"," Dense(64, activation='relu'),\n"," Dense(1, activation='sigmoid')\n"," ])\n","\n"," model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n"," return model\n","\n","model = build_model()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kCq49ENQiqVO","executionInfo":{"status":"ok","timestamp":1774671975339,"user_tz":-330,"elapsed":179,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"1be71580-ad22-482e-c642-748e80891b69"},"execution_count":40,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]}]},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","\n","def plot_training(history, lang):\n"," plt.figure(figsize=(8,6), dpi=300)\n"," plt.plot(history.history['accuracy'], label='Train Acc')\n"," plt.plot(history.history['val_accuracy'], label='Val Acc')\n"," plt.legend()\n"," plt.title(f\"{lang} Accuracy\")\n"," plt.savefig(f\"{BASE_DIR}/plots/{lang}/{lang}_accuracy.png\")\n"," plt.show()\n","\n"," plt.figure(figsize=(8,6), dpi=300)\n"," plt.plot(history.history['loss'], label='Train Loss')\n"," plt.plot(history.history['val_loss'], label='Val Loss')\n"," plt.legend()\n"," plt.title(f\"{lang} Loss\")\n"," plt.savefig(f\"{BASE_DIR}/plots/{lang}/{lang}_loss.png\")\n"," plt.show()"],"metadata":{"id":"Qh8wmy62i1Or","executionInfo":{"status":"ok","timestamp":1774671976931,"user_tz":-330,"elapsed":3,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":41,"outputs":[]},{"cell_type":"code","source":["from sklearn.metrics import accuracy_score\n","\n","languages = [\"hindi\", \"hinglish\", \"english\"]\n","best_models = {}\n","\n","for lang in languages:\n"," print(f\"\\n🔵 Training on {lang.upper()}\")\n","\n"," df_lang = df[df['language'] == lang]\n"," train, val, test = split_data(df_lang)\n","\n"," # Save splits\n"," train.to_csv(f\"{BASE_DIR}/splits/{lang}_train.csv\", index=False)\n"," val.to_csv(f\"{BASE_DIR}/splits/{lang}_val.csv\", index=False)\n"," test.to_csv(f\"{BASE_DIR}/splits/{lang}_test.csv\", index=False)\n","\n"," def preprocess(data):\n"," X = pad_sequences(tokenizer.texts_to_sequences(data['clean_text']), maxlen=MAX_LEN)\n"," y = data['hate_label'].values\n"," return X, y\n","\n"," X_train, y_train = preprocess(train)\n"," X_val, y_val = preprocess(val)\n","\n"," history = model.fit(\n"," X_train, y_train,\n"," validation_data=(X_val, y_val),\n"," epochs=50,\n"," batch_size=32,\n"," verbose=1\n"," )\n","\n"," plot_training(history, lang)\n","\n"," # Best epoch\n"," best_epoch = np.argmax(history.history['val_accuracy'])\n"," best_acc = history.history['val_accuracy'][best_epoch]\n","\n"," print(f\"✅ Best epoch for {lang}: {best_epoch+1}, Val Acc: {best_acc}\")\n","\n"," model.save(f\"{BASE_DIR}/models/{lang}_best_model.h5\")\n","\n"," best_models[lang] = {\n"," \"model\": model,\n"," \"test_data\": test\n"," }"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"YfFpg5qzi4hD","executionInfo":{"status":"ok","timestamp":1774672555825,"user_tz":-330,"elapsed":577573,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"01eec83d-3b64-443f-d0b4-36fe10ec1bb4"},"execution_count":42,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","🔵 Training on HINDI\n","Epoch 1/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 17ms/step - accuracy: 0.5476 - loss: 0.6877 - val_accuracy: 0.5534 - val_loss: 0.6808\n","Epoch 2/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 17ms/step - accuracy: 0.5531 - loss: 0.6844 - val_accuracy: 0.5780 - val_loss: 0.6754\n","Epoch 3/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 23ms/step - accuracy: 0.5467 - loss: 0.6870 - val_accuracy: 0.5534 - val_loss: 0.6769\n","Epoch 4/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5661 - loss: 0.6808 - val_accuracy: 0.5647 - val_loss: 0.6837\n","Epoch 5/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5645 - loss: 0.6797 - val_accuracy: 0.5801 - val_loss: 0.6735\n","Epoch 6/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5769 - loss: 0.6773 - val_accuracy: 0.5934 - val_loss: 0.6738\n","Epoch 7/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 18ms/step - accuracy: 0.5613 - loss: 0.6815 - val_accuracy: 0.5524 - val_loss: 0.6870\n","Epoch 8/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 22ms/step - accuracy: 0.5553 - loss: 0.6846 - val_accuracy: 0.5534 - val_loss: 0.6864\n","Epoch 9/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5534 - loss: 0.6836 - val_accuracy: 0.5667 - val_loss: 0.6799\n","Epoch 10/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5712 - loss: 0.6805 - val_accuracy: 0.5657 - val_loss: 0.6734\n","Epoch 11/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5757 - loss: 0.6775 - val_accuracy: 0.5975 - val_loss: 0.6720\n","Epoch 12/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 19ms/step - accuracy: 0.5817 - loss: 0.6759 - val_accuracy: 0.5986 - val_loss: 0.6712\n","Epoch 13/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 21ms/step - accuracy: 0.5822 - loss: 0.6753 - val_accuracy: 0.5986 - val_loss: 0.6710\n","Epoch 14/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 15ms/step - accuracy: 0.5808 - loss: 0.6747 - val_accuracy: 0.5893 - val_loss: 0.6727\n","Epoch 15/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5753 - loss: 0.6766 - val_accuracy: 0.5955 - val_loss: 0.6734\n","Epoch 16/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 17ms/step - accuracy: 0.5817 - loss: 0.6731 - val_accuracy: 0.5975 - val_loss: 0.6708\n","Epoch 17/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 24ms/step - accuracy: 0.5840 - loss: 0.6733 - val_accuracy: 0.5955 - val_loss: 0.6723\n","Epoch 18/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5866 - loss: 0.6728 - val_accuracy: 0.5945 - val_loss: 0.6738\n","Epoch 19/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5810 - loss: 0.6731 - val_accuracy: 0.5975 - val_loss: 0.6712\n","Epoch 20/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5777 - loss: 0.6735 - val_accuracy: 0.6037 - val_loss: 0.6696\n","Epoch 21/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - accuracy: 0.5895 - loss: 0.6712 - val_accuracy: 0.5996 - val_loss: 0.6695\n","Epoch 22/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 21ms/step - accuracy: 0.5935 - loss: 0.6705 - val_accuracy: 0.5791 - val_loss: 0.6731\n","Epoch 23/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5892 - loss: 0.6699 - val_accuracy: 0.5903 - val_loss: 0.6750\n","Epoch 24/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5887 - loss: 0.6687 - val_accuracy: 0.6037 - val_loss: 0.6699\n","Epoch 25/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5846 - loss: 0.6702 - val_accuracy: 0.6027 - val_loss: 0.6696\n","Epoch 26/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 19ms/step - accuracy: 0.5907 - loss: 0.6677 - val_accuracy: 0.5924 - val_loss: 0.6704\n","Epoch 27/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - accuracy: 0.5959 - loss: 0.6679 - val_accuracy: 0.5934 - val_loss: 0.6685\n","Epoch 28/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5899 - loss: 0.6657 - val_accuracy: 0.5975 - val_loss: 0.6707\n","Epoch 29/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5931 - loss: 0.6659 - val_accuracy: 0.6037 - val_loss: 0.6661\n","Epoch 30/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5991 - loss: 0.6634 - val_accuracy: 0.6016 - val_loss: 0.6630\n","Epoch 31/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 21ms/step - accuracy: 0.6005 - loss: 0.6618 - val_accuracy: 0.5955 - val_loss: 0.6630\n","Epoch 32/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 16ms/step - accuracy: 0.5996 - loss: 0.6598 - val_accuracy: 0.6088 - val_loss: 0.6659\n","Epoch 33/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.6051 - loss: 0.6580 - val_accuracy: 0.6027 - val_loss: 0.6663\n","Epoch 34/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.6012 - loss: 0.6579 - val_accuracy: 0.5986 - val_loss: 0.6657\n","Epoch 35/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 17ms/step - accuracy: 0.6128 - loss: 0.6535 - val_accuracy: 0.6057 - val_loss: 0.6673\n","Epoch 36/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 22ms/step - accuracy: 0.6036 - loss: 0.6670 - val_accuracy: 0.5811 - val_loss: 0.6766\n","Epoch 37/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 16ms/step - accuracy: 0.5995 - loss: 0.6587 - val_accuracy: 0.6078 - val_loss: 0.6690\n","Epoch 38/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5974 - loss: 0.6626 - val_accuracy: 0.5739 - val_loss: 0.6891\n","Epoch 39/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5555 - loss: 0.6867 - val_accuracy: 0.5534 - val_loss: 0.6850\n","Epoch 40/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - accuracy: 0.5536 - loss: 0.6837 - val_accuracy: 0.5534 - val_loss: 0.6740\n","Epoch 41/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - accuracy: 0.5794 - loss: 0.6725 - val_accuracy: 0.5975 - val_loss: 0.6719\n","Epoch 42/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5880 - loss: 0.6691 - val_accuracy: 0.6016 - val_loss: 0.6675\n","Epoch 43/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5940 - loss: 0.6653 - val_accuracy: 0.5452 - val_loss: 0.6758\n","Epoch 44/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5948 - loss: 0.6638 - val_accuracy: 0.5975 - val_loss: 0.6664\n","Epoch 45/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 19ms/step - accuracy: 0.6041 - loss: 0.6562 - val_accuracy: 0.6109 - val_loss: 0.6673\n","Epoch 46/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 15ms/step - accuracy: 0.5957 - loss: 0.6599 - val_accuracy: 0.6057 - val_loss: 0.6699\n","Epoch 47/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5967 - loss: 0.6577 - val_accuracy: 0.5986 - val_loss: 0.6674\n","Epoch 48/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 19ms/step - accuracy: 0.6054 - loss: 0.6511 - val_accuracy: 0.5975 - val_loss: 0.6720\n","Epoch 49/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.6193 - loss: 0.6463 - val_accuracy: 0.6016 - val_loss: 0.6702\n","Epoch 50/50\n","\u001b[1m183/183\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.6229 - loss: 0.6444 - val_accuracy: 0.5986 - val_loss: 0.6642\n"]},{"output_type":"display_data","data":{"text/plain":["
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are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["✅ Best epoch for hindi: 45, Val Acc: 0.6108829379081726\n","\n","🔵 Training on HINGLISH\n","Epoch 1/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - accuracy: 0.6302 - loss: 0.6643 - val_accuracy: 0.6562 - val_loss: 0.6402\n","Epoch 2/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - accuracy: 0.6547 - loss: 0.6337 - val_accuracy: 0.6688 - val_loss: 0.6236\n","Epoch 3/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - accuracy: 0.6795 - loss: 0.5967 - val_accuracy: 0.6918 - val_loss: 0.5964\n","Epoch 4/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 27ms/step - accuracy: 0.7112 - loss: 0.5618 - val_accuracy: 0.6771 - val_loss: 0.5857\n","Epoch 5/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - accuracy: 0.7455 - loss: 0.5014 - val_accuracy: 0.6017 - val_loss: 0.6481\n","Epoch 6/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - accuracy: 0.7758 - loss: 0.4613 - val_accuracy: 0.6499 - val_loss: 0.6641\n","Epoch 7/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.8142 - loss: 0.3898 - val_accuracy: 0.6667 - val_loss: 0.7435\n","Epoch 8/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.8624 - loss: 0.3205 - val_accuracy: 0.6583 - val_loss: 0.9070\n","Epoch 9/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 16ms/step - accuracy: 0.9026 - loss: 0.2413 - val_accuracy: 0.6373 - val_loss: 0.9102\n","Epoch 10/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - accuracy: 0.9420 - loss: 0.1562 - val_accuracy: 0.6457 - val_loss: 1.1715\n","Epoch 11/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - accuracy: 0.9494 - loss: 0.1418 - val_accuracy: 0.6164 - val_loss: 1.1801\n","Epoch 12/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 25ms/step - accuracy: 0.9647 - loss: 0.0928 - val_accuracy: 0.6373 - val_loss: 1.4625\n","Epoch 13/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - accuracy: 0.9797 - loss: 0.0611 - val_accuracy: 0.6457 - val_loss: 1.5915\n","Epoch 14/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - accuracy: 0.9825 - loss: 0.0536 - val_accuracy: 0.6352 - val_loss: 1.8489\n","Epoch 15/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9871 - loss: 0.0421 - val_accuracy: 0.6457 - val_loss: 1.7779\n","Epoch 16/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9843 - loss: 0.0417 - val_accuracy: 0.6520 - val_loss: 1.9896\n","Epoch 17/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9881 - loss: 0.0272 - val_accuracy: 0.6394 - val_loss: 2.0876\n","Epoch 18/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9937 - loss: 0.0227 - val_accuracy: 0.6478 - val_loss: 2.3759\n","Epoch 19/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9818 - loss: 0.0571 - val_accuracy: 0.6541 - val_loss: 1.9803\n","Epoch 20/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - accuracy: 0.9930 - loss: 0.0191 - val_accuracy: 0.6394 - val_loss: 2.1927\n","Epoch 21/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - accuracy: 0.9948 - loss: 0.0230 - val_accuracy: 0.6583 - val_loss: 2.2327\n","Epoch 22/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - accuracy: 0.9958 - loss: 0.0141 - val_accuracy: 0.6352 - val_loss: 2.3479\n","Epoch 23/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - accuracy: 0.9979 - loss: 0.0113 - val_accuracy: 0.6457 - val_loss: 2.4405\n","Epoch 24/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9906 - loss: 0.0271 - val_accuracy: 0.6583 - val_loss: 2.1932\n","Epoch 25/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9836 - loss: 0.0570 - val_accuracy: 0.6478 - val_loss: 2.0200\n","Epoch 26/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9934 - loss: 0.0252 - val_accuracy: 0.6457 - val_loss: 2.1831\n","Epoch 27/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 17ms/step - accuracy: 0.9965 - loss: 0.0121 - val_accuracy: 0.6457 - val_loss: 2.4294\n","Epoch 28/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - accuracy: 0.9979 - loss: 0.0066 - val_accuracy: 0.6667 - val_loss: 2.5787\n","Epoch 29/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 23ms/step - accuracy: 0.9997 - loss: 0.0029 - val_accuracy: 0.6604 - val_loss: 2.7441\n","Epoch 30/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 26ms/step - accuracy: 0.9993 - loss: 0.0032 - val_accuracy: 0.6583 - val_loss: 2.7995\n","Epoch 31/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 0.9983 - loss: 0.0066 - val_accuracy: 0.6562 - val_loss: 2.7997\n","Epoch 32/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9972 - loss: 0.0057 - val_accuracy: 0.6730 - val_loss: 2.9290\n","Epoch 33/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - accuracy: 0.9979 - loss: 0.0048 - val_accuracy: 0.6520 - val_loss: 3.0157\n","Epoch 34/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9993 - loss: 0.0024 - val_accuracy: 0.6667 - val_loss: 3.1111\n","Epoch 35/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9997 - loss: 0.0022 - val_accuracy: 0.6688 - val_loss: 3.1900\n","Epoch 36/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9990 - loss: 0.0041 - val_accuracy: 0.6688 - val_loss: 3.0043\n","Epoch 37/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - accuracy: 0.9972 - loss: 0.0091 - val_accuracy: 0.6897 - val_loss: 2.8325\n","Epoch 38/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 25ms/step - accuracy: 0.9909 - loss: 0.0312 - val_accuracy: 0.6520 - val_loss: 2.3644\n","Epoch 39/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 23ms/step - accuracy: 0.9867 - loss: 0.0387 - val_accuracy: 0.6562 - val_loss: 2.0132\n","Epoch 40/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9955 - loss: 0.0142 - val_accuracy: 0.6583 - val_loss: 2.4466\n","Epoch 41/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9979 - loss: 0.0068 - val_accuracy: 0.6394 - val_loss: 2.5606\n","Epoch 42/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9958 - loss: 0.0130 - val_accuracy: 0.6541 - val_loss: 2.8445\n","Epoch 43/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9843 - loss: 0.0419 - val_accuracy: 0.6394 - val_loss: 2.3862\n","Epoch 44/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9864 - loss: 0.0358 - val_accuracy: 0.6499 - val_loss: 2.2514\n","Epoch 45/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9972 - loss: 0.0077 - val_accuracy: 0.6688 - val_loss: 2.5197\n","Epoch 46/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - accuracy: 0.9972 - loss: 0.0088 - val_accuracy: 0.6583 - val_loss: 2.5983\n","Epoch 47/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 26ms/step - accuracy: 0.9972 - loss: 0.0075 - val_accuracy: 0.6646 - val_loss: 2.5706\n","Epoch 48/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - accuracy: 0.9983 - loss: 0.0070 - val_accuracy: 0.6834 - val_loss: 2.9122\n","Epoch 49/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9986 - loss: 0.0041 - val_accuracy: 0.6730 - val_loss: 3.0371\n","Epoch 50/50\n","\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.9983 - loss: 0.0040 - val_accuracy: 0.6667 - val_loss: 3.2100\n"]},{"output_type":"display_data","data":{"text/plain":["
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are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["✅ Best epoch for hinglish: 3, Val Acc: 0.6918238997459412\n","\n","🔵 Training on ENGLISH\n","Epoch 1/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 21ms/step - accuracy: 0.5945 - loss: 0.7451 - val_accuracy: 0.6818 - val_loss: 0.6186\n","Epoch 2/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 22ms/step - accuracy: 0.6902 - loss: 0.5906 - val_accuracy: 0.7278 - val_loss: 0.5433\n","Epoch 3/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.7275 - loss: 0.5380 - val_accuracy: 0.7458 - val_loss: 0.5167\n","Epoch 4/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 19ms/step - accuracy: 0.7569 - loss: 0.4965 - val_accuracy: 0.7558 - val_loss: 0.5010\n","Epoch 5/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 17ms/step - accuracy: 0.7773 - loss: 0.4682 - val_accuracy: 0.7618 - val_loss: 0.4939\n","Epoch 6/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 20ms/step - accuracy: 0.7869 - loss: 0.4485 - val_accuracy: 0.7672 - val_loss: 0.4823\n","Epoch 7/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 21ms/step - accuracy: 0.8017 - loss: 0.4301 - val_accuracy: 0.7718 - val_loss: 0.4703\n","Epoch 8/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.8092 - loss: 0.4092 - val_accuracy: 0.7799 - val_loss: 0.4692\n","Epoch 9/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 19ms/step - accuracy: 0.8238 - loss: 0.3871 - val_accuracy: 0.7745 - val_loss: 0.4690\n","Epoch 10/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 21ms/step - accuracy: 0.8355 - loss: 0.3625 - val_accuracy: 0.7785 - val_loss: 0.4778\n","Epoch 11/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.8527 - loss: 0.3368 - val_accuracy: 0.7718 - val_loss: 0.4988\n","Epoch 12/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 19ms/step - accuracy: 0.8638 - loss: 0.3084 - val_accuracy: 0.7718 - val_loss: 0.5118\n","Epoch 13/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 22ms/step - accuracy: 0.8797 - loss: 0.2845 - val_accuracy: 0.7672 - val_loss: 0.5918\n","Epoch 14/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.8883 - loss: 0.2597 - val_accuracy: 0.7525 - val_loss: 0.6267\n","Epoch 15/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 18ms/step - accuracy: 0.9021 - loss: 0.2360 - val_accuracy: 0.7612 - val_loss: 0.6533\n","Epoch 16/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 17ms/step - accuracy: 0.9114 - loss: 0.2127 - val_accuracy: 0.7765 - val_loss: 0.6327\n","Epoch 17/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 19ms/step - accuracy: 0.9232 - loss: 0.1867 - val_accuracy: 0.7738 - val_loss: 0.7253\n","Epoch 18/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 17ms/step - accuracy: 0.9372 - loss: 0.1574 - val_accuracy: 0.7578 - val_loss: 0.7520\n","Epoch 19/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 20ms/step - accuracy: 0.9432 - loss: 0.1474 - val_accuracy: 0.7605 - val_loss: 0.8524\n","Epoch 20/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 21ms/step - accuracy: 0.9499 - loss: 0.1307 - val_accuracy: 0.7698 - val_loss: 0.8132\n","Epoch 21/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.9600 - loss: 0.1026 - val_accuracy: 0.7745 - val_loss: 1.0461\n","Epoch 22/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 19ms/step - accuracy: 0.9586 - loss: 0.1054 - val_accuracy: 0.7638 - val_loss: 0.9918\n","Epoch 23/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 17ms/step - accuracy: 0.9606 - loss: 0.1072 - val_accuracy: 0.7712 - val_loss: 0.9911\n","Epoch 24/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 20ms/step - accuracy: 0.9699 - loss: 0.0768 - val_accuracy: 0.7605 - val_loss: 1.1394\n","Epoch 25/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 22ms/step - accuracy: 0.9745 - loss: 0.0663 - val_accuracy: 0.7632 - val_loss: 1.1043\n","Epoch 26/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.9758 - loss: 0.0644 - val_accuracy: 0.7612 - val_loss: 1.1542\n","Epoch 27/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 19ms/step - accuracy: 0.9743 - loss: 0.0675 - val_accuracy: 0.7578 - val_loss: 1.1762\n","Epoch 28/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 22ms/step - accuracy: 0.9805 - loss: 0.0531 - val_accuracy: 0.7512 - val_loss: 1.3057\n","Epoch 29/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.9814 - loss: 0.0462 - val_accuracy: 0.7632 - val_loss: 1.3913\n","Epoch 30/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 19ms/step - accuracy: 0.9808 - loss: 0.0555 - val_accuracy: 0.7525 - val_loss: 1.2915\n","Epoch 31/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 22ms/step - accuracy: 0.9872 - loss: 0.0348 - val_accuracy: 0.7552 - val_loss: 1.4921\n","Epoch 32/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 17ms/step - accuracy: 0.9853 - loss: 0.0450 - val_accuracy: 0.7498 - val_loss: 1.4018\n","Epoch 33/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 24ms/step - accuracy: 0.9873 - loss: 0.0356 - val_accuracy: 0.7485 - val_loss: 1.6068\n","Epoch 34/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 17ms/step - accuracy: 0.9857 - loss: 0.0380 - val_accuracy: 0.7425 - val_loss: 1.5016\n","Epoch 35/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 22ms/step - accuracy: 0.9845 - loss: 0.0411 - val_accuracy: 0.7472 - val_loss: 1.4464\n","Epoch 36/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 20ms/step - accuracy: 0.9858 - loss: 0.0389 - val_accuracy: 0.7505 - val_loss: 1.5755\n","Epoch 37/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 21ms/step - accuracy: 0.9894 - loss: 0.0285 - val_accuracy: 0.7231 - val_loss: 1.4537\n","Epoch 38/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 20ms/step - accuracy: 0.9837 - loss: 0.0417 - val_accuracy: 0.7525 - val_loss: 1.6203\n","Epoch 39/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 20ms/step - accuracy: 0.9892 - loss: 0.0294 - val_accuracy: 0.7492 - val_loss: 1.5657\n","Epoch 40/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 20ms/step - accuracy: 0.9917 - loss: 0.0216 - val_accuracy: 0.7552 - val_loss: 1.7236\n","Epoch 41/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.9871 - loss: 0.0353 - val_accuracy: 0.7545 - val_loss: 1.5628\n","Epoch 42/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 19ms/step - accuracy: 0.9910 - loss: 0.0282 - val_accuracy: 0.7712 - val_loss: 1.5040\n","Epoch 43/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 22ms/step - accuracy: 0.9858 - loss: 0.0434 - val_accuracy: 0.7632 - val_loss: 1.4370\n","Epoch 44/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.9911 - loss: 0.0251 - val_accuracy: 0.7585 - val_loss: 1.4626\n","Epoch 45/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 20ms/step - accuracy: 0.9890 - loss: 0.0276 - val_accuracy: 0.7658 - val_loss: 1.5571\n","Epoch 46/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 22ms/step - accuracy: 0.9890 - loss: 0.0316 - val_accuracy: 0.7378 - val_loss: 1.5351\n","Epoch 47/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.9911 - loss: 0.0261 - val_accuracy: 0.7658 - val_loss: 1.4218\n","Epoch 48/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 19ms/step - accuracy: 0.9922 - loss: 0.0200 - val_accuracy: 0.7618 - val_loss: 1.5678\n","Epoch 49/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 22ms/step - accuracy: 0.9914 - loss: 0.0252 - val_accuracy: 0.7665 - val_loss: 1.4619\n","Epoch 50/50\n","\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 18ms/step - accuracy: 0.9930 - loss: 0.0195 - val_accuracy: 0.7151 - val_loss: 1.9988\n"]},{"output_type":"display_data","data":{"text/plain":["
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are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["✅ Best epoch for english: 8, Val Acc: 0.7798532247543335\n"]}]},{"cell_type":"code","source":["from sklearn.metrics import *\n","import seaborn as sns\n","import numpy as np\n","import matplotlib.pyplot as plt\n","\n","results = []\n","\n","def evaluate(lang, model, test_df):\n"," print(f\"\\n🧪 Testing on {lang.upper()}\")\n","\n"," X_test = pad_sequences(tokenizer.texts_to_sequences(test_df['clean_text']), maxlen=MAX_LEN)\n"," y_test = test_df['hate_label'].values\n","\n"," y_pred_prob = model.predict(X_test)\n"," y_pred = (y_pred_prob > 0.5).astype(int)\n","\n"," # ===== Metrics =====\n"," acc = accuracy_score(y_test, y_pred)\n"," bal_acc = balanced_accuracy_score(y_test, y_pred)\n"," prec = precision_score(y_test, y_pred)\n"," rec = recall_score(y_test, y_pred)\n"," f1 = f1_score(y_test, y_pred)\n"," roc_auc = roc_auc_score(y_test, y_pred_prob)\n","\n"," tn, fp, fn, tp = confusion_matrix(y_test, y_pred).ravel()\n"," specificity = tn / (tn + fp) if (tn + fp) != 0 else 0\n","\n"," # ===== 1. CONFUSION MATRIX (UNIVERSAL STYLE) =====\n"," plt.figure(figsize=(8,6), dpi=300)\n"," cm = confusion_matrix(y_test, y_pred)\n","\n"," sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues', # ✅ universal academic color\n"," xticklabels=['Non-Hate', 'Hate'],\n"," yticklabels=['Non-Hate', 'Hate']\n"," )\n","\n"," plt.xlabel(\"Predicted Label\")\n"," plt.ylabel(\"True Label\")\n"," plt.title(f\"{lang.upper()} Confusion Matrix (Hate vs Non-Hate)\")\n"," plt.tight_layout()\n"," plt.savefig(f\"{BASE_DIR}/plots/{lang}/{lang}_cm.png\")\n"," plt.show()\n","\n"," # ===== 2. ROC CURVE =====\n"," fpr, tpr, _ = roc_curve(y_test, y_pred_prob)\n","\n"," plt.figure(figsize=(8,6), dpi=300)\n"," plt.plot(fpr, tpr, label=f\"AUC = {roc_auc:.4f}\")\n"," plt.plot([0,1],[0,1],'k--')\n"," plt.xlabel(\"False Positive Rate\")\n"," plt.ylabel(\"True Positive Rate\")\n"," plt.title(f\"{lang.upper()} ROC Curve\")\n"," plt.legend()\n"," plt.tight_layout()\n"," plt.savefig(f\"{BASE_DIR}/plots/{lang}/{lang}_roc.png\")\n"," plt.show()\n","\n"," # ===== 3. PRECISION-RECALL CURVE =====\n"," precision_vals, recall_vals, _ = precision_recall_curve(y_test, y_pred_prob)\n"," pr_auc = auc(recall_vals, precision_vals)\n","\n"," plt.figure(figsize=(8,6), dpi=300)\n"," plt.plot(recall_vals, precision_vals, label=f\"PR AUC = {pr_auc:.4f}\")\n"," plt.xlabel(\"Recall\")\n"," plt.ylabel(\"Precision\")\n"," plt.title(f\"{lang.upper()} Precision-Recall Curve\")\n"," plt.legend()\n"," plt.tight_layout()\n"," plt.savefig(f\"{BASE_DIR}/plots/{lang}/{lang}_pr.png\")\n"," plt.show()\n","\n"," # ===== 4. F1 vs THRESHOLD CURVE =====\n"," thresholds = np.linspace(0, 1, 100)\n"," f1_scores = []\n","\n"," for t in thresholds:\n"," preds = (y_pred_prob > t).astype(int)\n"," f1_scores.append(f1_score(y_test, preds))\n","\n"," plt.figure(figsize=(8,6), dpi=300)\n"," plt.plot(thresholds, f1_scores)\n"," plt.xlabel(\"Threshold\")\n"," plt.ylabel(\"F1 Score\")\n"," plt.title(f\"{lang.upper()} F1 Score vs Threshold\")\n"," plt.tight_layout()\n"," plt.savefig(f\"{BASE_DIR}/plots/{lang}/{lang}_f1_curve.png\")\n"," plt.show()\n","\n"," return [lang, acc, bal_acc, prec, rec, specificity, f1, roc_auc]"],"metadata":{"id":"WdLca3bxi7au","executionInfo":{"status":"ok","timestamp":1774672562904,"user_tz":-330,"elapsed":58,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":43,"outputs":[]},{"cell_type":"code","source":["for lang in languages:\n"," res = evaluate(lang, best_models[lang][\"model\"], best_models[lang][\"test_data\"])\n"," results.append(res)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"9_CAaBhUlPh6","executionInfo":{"status":"ok","timestamp":1774672579359,"user_tz":-330,"elapsed":14474,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"cc146fa2-34a3-4696-bc7f-502f36259ae2"},"execution_count":44,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","🧪 Testing on HINDI\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 8ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["
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iYmaO3eu6tWrp+XLl+fb+s7i6+trVcsYjMrOvn371KFDB3Xq1Ek//vhjtu8Dly9f1rx583TXXXdp2LBhunHjRo7Wu93ixYsVEhKiJ554Qr/++mu2IShJOnz4sGbMmKEmTZrogw8+yPLajRs3qnr16mrdurWmTJmirVu3ZhuCkqSzZ89qxowZqlWrlt54440i/TshKSlJCxcutKoPGzZMbm78Z/Jbjh49qiZNmuiFF17INAR1S2BgoLp27WqorVq1KtOwsT2uX79u9ffUvHlzu0JQaWlpmjRpkmrWrKm33npLu3btyvK9Oj09Xdu3b9ewYcNUr149QzANAAAAgOvi/4cHAAAAAMBtpkyZYlUbO3asy384/NJLL1nVoqOj9c8//zihG8eKjY21qpUpU8bu+y9cuKB77rknT2GW2bNnq3379rnaku/GjRt655139PDDD2cbnsooKSlJAwcO1PPPP6/IyMgcry3dDEXFx8fn6t6sXL16VW3bttWSJUvy/dn57Z133lH//v117ty5HN974MABderUSd99912e+1i5cqU6duyYoz6uX7+uRx99VKtXr87z+s5kK7Tk5+dn9/0rVqxQq1atcjXhLy0tTbNmzVLbtm0VFRWVo3vT09M1evRo9e7dW8eOHcvx2rdkF/o6efKkzpw5k+vnp6am6t1331XPnj3tClC5ot9//10JCQmGmpeXl4YMGeKchgqhW9tN7t+/3+57Mk6jSklJ0fz583Pdw5IlS6x+b2dcw5b4+Hg99NBDGjduXI7DztLN11CnTp30v//9L8f3AgAAAChc2BoPAAAAAIDbtG7dWg899JBhgsrevXs1f/58PfHEE07sLG8aNmyoChUqWG0ltXnzZt1zzz1O6soxDhw4YFULCAiw69709HT17dtXJ06csNRq1qypbt26KSQkRBUqVNDly5d18uTJTKcmTZo0SePGjbOq+/j4qFOnTmrWrJmCg4Pl5+en2NhYHT16VL/99ptVaGr58uV6+umnbU40sSUlJUWdO3e2GeByc3NT06ZN1aFDB1WrVk3ly5dXUlKSLl++rH379mnLli06ePCgXevk1ssvv6y9e/da1evWrauOHTsqJCRE5cuXV4kSJZSQkKCYmBgdOXJE+/fv15YtW/I0nScn3nnnHY0fP96q7uHhoXbt2qljx46qXLmyUlNTdebMGa1atcpqalhycrIGDBggd3d39e3bN1d97N69W+PGjbNM8ypZsqQ6dOig+++/X0FBQfLw8NCZM2e0Zs0arVu3znBvamqqhg4dqgMHDtickFbYHT9+3OYEpVq1atl1/7fffqtBgwZZBVq9vLzUvn17tWjRQlWrVlXp0qWVkJCgU6dOad26dfrzzz8N1//zzz965JFHtH79eru30Bo0aJC+/fZbm+fuuusuderUSbVq1VKFChWUkpKiK1eu6ODBg9q2bVu202yyEhQUpKZNm6p+/fqqUaOG/P39VapUKSUmJioqKkr79u3T6tWrrYJdK1eu1GuvvWYzFOzq1q9fb1Vr1KiRypUr54RuCp9r167poYce0uXLly21u+66S127dlWtWrVUtmxZRUVF6ciRI1q0aJHlmu7duysgIMAwBWru3LkaOXJkrvq4tT3fLd7e3urfv3+2vbdt29Zm2LhWrVpq166dGjRooHLlysnDw0PR0dHatm2b1fSqlJQUDR06VIGBgerWrVuu+gcAAADgfAShAAAAAADI4L333tPPP/+stLQ0S238+PHq16+fSpQo4cTO8qZly5ZauXKloZabCUWuJCkpyebWho0bN7br/s2bN1t+DsqXL6/p06dr4MCBMplMVtdOnjzZasu5devW6T//+Y+hVrJkSY0fP14vvPCC/P39ba47adIkbdiwQUOHDtXx48ct9e+//1733Xef/vWvf2Xb+8iRI22GoB555BFNnDhR9erVy/L+Y8eO6bvvvtMnn3yS7Vo5debMGX399deGWkBAgL788kv16NEj2/sTExP122+/6YsvvpC7u3u+93fLX3/9pbffftuq3rp1a3355ZeqW7eu1bnXX39df//9t5566ikdOnTIUjebzXruuefUsmVLVatWLce9jBs3TklJSZJuhmsmT56s4OBgq+vGjBmjDRs26NFHH9WVK1cs9XPnzumzzz7T2LFjc7y2s9kKGZYtW1b169fP9t4DBw7omWeeMYSgPDw8NHLkSI0ePTrTUORbb72l3bt3a+jQodqxY4el/tdff+m1117T1KlTs1172rRpNkNQbdu21ZQpU9SsWbMs7z937pwWLVqkmTNnZruWdDOk+dRTT6lHjx5q0KBBttenpaVp4cKFGjVqlC5cuGDou0+fPtn252ps/b5r3ry5EzopnH766SfL77saNWro448/zjQMNH36dEtIz9PTUwMHDtT06dMt5/fu3audO3eqSZMmOerhzJkzVkHORx55JNspji+88ILV329oaKg+/PBDdezY0ebvbOnmxLwZM2Zo/PjxSklJkXTzvXrQoEHau3evqlSpkqP+AQAAABQObI0HAAAAAEAGoaGhGjx4sKEWERGhjz/+2Ekd5Q9bH2rfPumoKHr//fd18eJFq3rnzp3tuv/Wh8KBgYH6448/NGjQoEw/UDWZTIagXHx8vAYMGGAIYFSsWFFbtmzR2LFjMw1B3dK2bVvt2LHDKtDw1ltv2ZyOc7vVq1dbBZhMJpOmTZumxYsXZxuCkqTatWvrjTfe0KlTp9SlS5dsr8+J5cuXW026WbRokV0hKOnmNK1evXpp5cqVmjNnTr72dovZbNbTTz9tCERKUrdu3bRu3TqbIahbWrVqpb/++kt33XWXoR4TE2NXiM2WWyGod955R/PmzbMZgrqlbdu2WrZsmdXP6pdffpmrtZ0pMjJS06ZNs6o/9thjcnPL+j9tpqenq3///obXi4+Pj9asWaMpU6ZkOxmuUaNG2rx5szp16mSof/TRRzp79myW9+7fv99m6GzEiBFat26dXSGjypUra8SIETpy5IiefvrpLK999NFHdezYMf3nP/+xKwQlSe7u7howYIC2bNliCOeZzWZDqKWoOHz4sFUtLCzMCZ0UTrfe6+rVq6e//vory4lI7u7u8vD4v/+Nta2t6zJOdrLHvHnzrCa3Zbct3g8//GAVrO3Vq5d27dqlTp06Zfo7W7oZTB47dqxWrlxpmPJ29epVTZw4Mcf9AwAAACgcCEIBAAAAAHJs+/btatSoUZ7/DB061NlfSqbefvttlSxZ0lCbOHGiYmNjndRR3lWsWNGqlt2H+a5s7ty5Nrc0Cw0NzfF2gF988YVCQ0NzdM/nn39uCGG5ublp2bJluvvuu+1+RunSpbVkyRJ5eXlZatHR0friiy+yvG/ChAlWtXHjxumVV16xe+1bvL29FRQUlOP7spIxgFenTh21adMmV88qVapUfrRk5eeff7YKTlSrVk3ff/+94e8jM+XKldPy5cut3kdsPddejzzyiF5//XW7rm3durX69OljqB07dswwYaywO378uLp06WLYukq6GWaytd1kRosXL9b+/fsNta+++krt2rWzuwcvLy8tWrRIFSpUsNSSk5P1wQcfZHnfxIkTrUJ0jz/+uKZPn55tgCsjd3d3Va1aNctr/Pz8sgx8ZKVatWr69NNPDbVFixa59O+7jFJTUxUZGWlVz+/3Nlfn4eGh7777TpUqVcrRfXfffbdVqOzbb7+1mpKYnYzhqWrVqql9+/aZXm82m61+3zVs2FA//PCDXe/TtzzwwAN68803DbWvvvrKautIAAAAAK6BIBQAAAAAIMcSExO1Z8+ePP8pzB/IV6lSRcOHDzfUrly5okmTJjmpo7yztbVMXFyc4xspQNevX9eaNWvUo0cPPfnkk1aTJaSbW9jlZDu1du3aqXv37jnqIzk5WR9++KGh9sQTT6hly5Y5eo50c7urQYMGGWpLlizJ9PpNmzbp77//NtTuvPNOm1u8OUt8fLzhuHz58k7qJHO2JsBNmzZNPj4+dj/jjjvu0Kuvvmqomc3mXG036ObmpilTpuTonoEDB1rVbt/mrbBJSkrSuXPn9PPPP+vZZ59VgwYNtHfvXqvrZs+ebdeWVZMnTzYct23b1iocZo/SpUvrpZdeMtSyeg2eOnVKP/zwg6EWEBCgzz77LMdrO0rXrl0NYa/U1FRt2bLFiR3lr7i4OJu/D7Lbcq24GTRokN1bx2aUcXLT5cuXtXz5crvv37Rpk44dO2aoDRkyJMvg4M8//6wDBw4YajNmzDBMd7LXyy+/LD8/P8txZlvrAgAAACj8CEIBAAAAAJCJsWPHqly5cobajBkzdO7cOSd1lDdly5a1ql2/ft0JneTe0KFDbU4Xa9CggapXry5/f3917txZK1eutHn/66+/nuNQU3ZbUtmyefNmnT9/3qr33Mq4RdE///yjGzdu2LzW1gfPL7/8smEbI2fLGHzat29foZo+k5ycrI0bNxpqQUFBevjhh3P8rGeffdYqePfbb7/l+Dnt27dXrVq1cnRP8+bNrWq5nUaVXzZu3CiTyWTzT8mSJVWlShV1795dc+bMsdoCslSpUlqwYIEef/zxbNc5deqUVegrP1+Dp06dUkREhM1rf/75Z6tpUMOGDct2O0xncnNzs/r5+ueff5zUTf7L7Hdd6dKlHdxJ4Zab33e3PPbYY/L29jbUcrI9XsZrTSaThgwZkuU9P/74o+E4L9MFS5YsaTUtbsOGDbl6FgAAAADnKjz/BQwAAAAAgEKmTJkyeu211zRq1ChL7fr163rzzTez3ZqsMLI1DSO3Wyk5S26niHl6emr8+PF2byt2u5xso3VLxhCNp6enmjVrluPn3HLHHXcYjpOSkhQeHq5GjRpZXZvxg1tPT0/1798/12sXhBYtWhiOExMT1b9/fy1YsMAqfOgMO3fuVFJSkqHWq1evXIXJgoODdd999xn+Xg4fPqzLly/naBJWbj7cDwwMlI+PjxITEy21whQ4s5efn5/69eun8ePHZ7tF3C0ZX4OSdO+99+a6h4yvQUnatWuXqlevblW3FZ7IONXNEfbv369t27Zp7969ioiIUFxcnOLj4zMNUWacxnP69GlHtOkQZrPZZt3VfgcWpJIlS+ZqauEtZcuWVa9evbRw4UJLbfXq1bpw4UK2WxBeu3ZNixYtMtTatGlj83V3u4yv85xue5tRxvV27dqVp+cBAAAAcA6CUAAAAACAHGvTpk2+/K/kN2zYkKuQiSO9+OKLmjlzpmHyx9y5c/Xyyy8rNDTUiZ3lXExMjFWtZMmSjm/EgTw8PPTggw9qwoQJatiwYY7vDwwMVKVKlXJ8319//WVVszWdx17JyclWtejoaKvajRs3rD64bdSokUqVKpXrtQtC586dFRwcrMjISEtt9erVqlmzpgYMGKDevXurdevWudreKD/s3LnTqhYWFpbr5zVr1szwnmk2m7Vr1y517NjR7mfUqVMnV2uXLl3a5YNQYWFh+ve//213CEqy/Rrs1atXPnZl+zUoyWpryoCAgFz//eXUjRs3NHPmTH311Vc6ePBgnp5l63eGq8rsd11R+hrzqkGDBjnaNtaWJ5980hCESktL0zfffKPRo0dned+PP/5otWXqU089leU958+f16lTpwy11atX2wwI2+vChQuG48xe4wAAAAAKN4JQAAAAAABkoUSJEpowYYIGDx5sqaWlpWncuHFatmyZEzvLuatXr1rVCvNWTTlhMpnk5+en0qVLKzAwUI0aNVJYWJgeeughBQcH5/q5FStWzNV9Z8+eNRynpKRoz549ue7DlsuXL1vVoqOjrbbkuvvuu/N13fxQsmRJffzxx+rdu7dhUktsbKw+/fRTffrppypVqpRatWqlFi1aqEWLFrrvvvtsbu9YEGx9+F2/fv1cP89WaDKnH7DndlJWxjBZSkpKpteOHz/e5taKWRk2bJiGDRtm9/U+Pj6qXbu2VT0lJUVXr141hONuWb9+vZo1a6a5c+fqscces2udjK9BSQ55DUpSVFSU4dhRr8G//vpLgwcPzvXkvIxcMTSXmdKlS8vNzc1qMiJBqP+T2993t+vYsaOqVq2qM2fOWGpz587NNgj11VdfGY79/Pz06KOPZnmPrdf4xYsXdfHixRx0nLXMXuMAAAAACjeCUAAAAAAAZGPgwIF6//33tXfvXktt+fLl+vPPP9W6dWsndpYztj4czMmElcJg/fr1atu2rcPWy21QzBEfnl6/ft2qduXKFauao8JDOfXII49o/vz5evbZZw0Ti265du2a1q1bp3Xr1kmS3Nzc1LhxY/Xp00ePP/54gf7s2goNlilTJtfPs/V3YOvvKiuOmI51+vTpHIeFMk5QyU5YWFiWEwWvXLmiFStWaNKkSTp06JClnpycrEGDBsnX11c9evTIdh1nvQbj4+OtwmaOeA2uX79e3bt317Vr1/LtmVmF5lyNh4eHgoKCdP78eUM9P0Mzri4/gtFubm4aPHiw3n33XUvt4MGD2rp1a6ZTEU+dOmW1xV2/fv2ynWToiNd4xi1SAQAAALgGN2c3AAAAAABAYefm5qZJkyZZ1V999VUndJN7W7dutarVrFnTCZ24Dg+P3P1vyGwFaRwhLi7Oqubr6+uETuzz+OOP6/Dhw3rhhRfk5+eX5bXp6enasWOHxo4dq1q1amno0KG6dOlSgfSVcYsm6eYko9yyda+tNXBz8tXgwYO1e/du9e/f33AuLS1NAwcOtNoOy5bi9Bq8evWq+vXrZxWCcnNz0wMPPKD33ntPq1ev1oEDBxQdHa2EhASlpaXJbDYb/rRp06ZA+3S2evXqWdW2b9/uhE4Kp9z+vstoyJAhVrWME59uN3fuXMNkQCn7bfEk573GAQAAABR+BKEAAAAAALBD165drSYRbd68WUuXLnVKPzllNpu1ZcsWq3qTJk2c0E3RV7JkScNxYGCgVeggr39sfdhsa6JHQkJCQX2Z+aJy5cr65JNPdPHiRf3000968cUX1bBhQ7m7u2d6T0pKir788ks1aNBAO3fuzPeebIWybE2tspete7MLfhV3JUqU0DfffKN27doZ6nFxcXr66aezvT/ja1C6OcEpP1+Db731ltUazngNTpw40SoUGBYWpkOHDunXX3/V2LFj1blzZ4WGhqp8+fLy8fGRm5v1fxa2NeGqKGnatKlVzVZAGHlTq1Yt3X///YbawoULbU5XMpvN+vrrrw21evXqqVWrVtmuY+s1/uqrr+b771oAAAAArocgFAAAAAAAdpoyZYpMJpOhNm7cOKWlpTmpI/vt2LHD5vSEe++91wndFH0VKlQwHDtqckX58uWtaq4yNaNkyZJ6+OGHNXPmTO3evVsxMTH67bff9Oabb6pFixY2gxsXLlxQt27d8n2LJFtbmcXExOT6ebbuLVeuXK6fV1BuTWbJaxgov3h4eGjevHlW4aLff/9d33//fZb3ZnwNSjnfjjA3/Pz8rLYxLOjX4MKFCw3HVatW1dq1a1WnTp0cPccR3x9nsrWt6q5du1zmPTIzhXELw4wTnWJiYmwGxzds2GA14e3JJ5+0aw1nvcYBAAAAFH4EoQAAAAAAsFOzZs3Uu3dvQ+3QoUP63//+56SO7DdjxgyrWmBgoJo3b+6Eboq+wMBAw3FycrIiIyMLfN0KFSpYbW+0d+/eAl+3IPj6+qpjx45666239M8//ygiIkLjxo2Tt7e34boLFy5oypQp+bp2QECAVS08PDzXzzt48KBVzdaH+LBWpUoVTZgwwar+2muvZRkAyfgalKSIiIh87S0zQUFBhuN9+/YV2Frh4eE6e/asoTZ8+HCVLl06R89JSUmxek5R06FDB6ttKpOTkzV37lyn9JMxMJfbQFN+B0HzQ+/eva22hLS1PV7Gmru7u5544gm71nDmaxwAAABA4UYQCgAAAACAHJg4caLVh5dvvfWWrl275qSOsnf27Fmb01MGDBhgNeEK+aNFixZWtT/++KPA1/Xy8rLa7nD37t152tatsKhSpYomTpyoNWvWWG2bt3jx4nxdy9aWkdu3b8/187Zt22Y4NplMbEuZA88//7xq1qxpqJ04cUJffvllpvc46zUoyWpbr0uXLunIkSMFstaZM2esavfdd1+On7Nr1y6bW5cVJd7e3nrssces6p9//rnS09Md3k/GSWdxcXG5es6xY8fyo5185ePjo759+xpqa9euNYTt4uPjrd67u3TpouDgYLvWqF27ttVkvc2bN7vElE4AAAAABYsgFAAAAAAAOVC7dm0988wzhtr58+f14YcfOqehbKSlpemJJ56wmjTh4eGhF1980UldFX2dOnWyqv30008OWTvj9k+pqalWW2e5svvuu089evQw1I4fP56vYcQmTZpYTZ5aunRprj5gv3jxojZt2mSo1atXr1BujVdYeXl5afz48Vb1iRMn6saNGzbvKUyvQUn65ptvCmSt6Ohoq1pufray22qwqBg+fLhVAPjIkSP64IMPHN5LmTJlDMenTp2S2WzO8XM2btyYTx3lr4zb46Wnp2vevHmW4x9++MHqfdvebfEkyc3NTR06dDDUEhIStGbNmlx0CwAAAKAoIQgFAAAAAEAOjR8/3mrLl8mTJxfK7WlGjx6t9evXW9Wff/553XHHHU7oqHho06aN1dZUixcv1tGjRwt87YcfftiqNn36dKWmphb42o4SEhJiVYuNjc2353t6eqpdu3aG2oULF7R06dIcP2v27NlW3/sHHnggL+0VSwMHDlSdOnUMtTNnzmjOnDk2rw8NDbW6fuvWrfr9998LrMdbunfvbrVF5axZs3I98ScrGbd6k2yHo7ISExPjElu85oe7775bAwYMsKq//vrr2r9/f76u9fvvv2vXrl2Znq9Xr57hOCEhweY2mllZv359oZwIJUn33nuv1Wvw66+/tvzfGbckrFChgh566KEcrdGzZ0+r2nvvvZejZwAAAAAoeghCAQAAAACQQ4GBgXrllVcMtbi4OL377rtO6shabGysevfurenTp1udq1Wrlt555x0ndFV8+Pj4aOTIkYZaWlqaBg4cmOkEm/zSsmVL3X///YbagQMH9Oabbxbouo4UGRlpODaZTKpQoUK+rvGvf/3LqjZq1KgcTZ6KiIjQpEmTDDWTycQ0tlxwd3e3ORXqvffey3RLt//85z9WtaFDh+rKlSv53t/tqlatqscff9xQu3Tpkp5//vl8X8vWNmI5nYjz4osvKiYmJp86Kvzef/99q/eLGzduqHPnztq7d2+en282mzV16lR16dIly4Bm06ZNrWrffvut3eukpKRo7NixuerRUTJOeDpy5Ij++usvHT16VH/++afh3IABA6y2Hs5Ov379VLt2bUNt06ZNNv/tAwAAAKD4IAgFAAAAAEAujBo1ShUrVjTUfvzxRyd1838SEhL06aefqlGjRlq8eLHV+dKlS2vx4sVW04qQ/0aOHGn1YfvWrVvVu3fvXE8vioqK0uuvv67ffvsty+syC4zkZvunGzdu6MKFCzm+LytvvfWWtmzZkqt7z5w5oyVLlhhq9evXz/EH6Nl58MEHrSZPnTp1So8//rhd07WuXr2qnj17WgWnevToYTUlBfZ5/PHHrf5Ozp8/r88//9zm9QMHDrS6/uTJk3rwwQd1/vz5XPUQFxenKVOmaP78+VleN27cOKufyW+//VYvv/xyjrc/S0tL05kzZ2yea9y4sdWEwhkzZujs2bN2PXvChAlasGBBjvpxdRUrVtS8efPk7u5uqJ8/f173339/nrZQ3LFjh1q3bq0xY8ZYbUmb0T333GP1u/ijjz5SREREtuukp6frxRdf1NatW3PdqyMMHjzY6vv81VdfWU2DknK2Ld4tHh4eevvtt63qY8aM0axZs3L8vFs2b95sFWYEAAAA4DoIQgEAAAAAkAu+vr42wyaOlpqaqt27d2v27Nl68sknVblyZf3rX//SqVOnrK4tX7681qxZo4YNGzq+0WLI399fCxcutNoia+XKlWratKkWLFhg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Testing on HINGLISH\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["
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Testing on ENGLISH\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["
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rJuX9s8AAAAgc5YtWxZnnnlm3HHHHb949s9//jP69esXv/vd77KQDKDyUoQCAAAAKIWiomR8Mu+n+Gz+0oiI+HT+T3HHGzPL7fMeO3m36Nq6UbntDwAAQOZNmDAh+vfvH19++eUGZ4477rjo2bNnbL755hlMBlC5KUIBAAAAlNBPq9bGsXe9F5NnL8nI5524V3slKAAAgCpk3bp1ceWVV8all14ahYWFxc6uXLkyPvjgA0UogFJQhAIAAAAooQv+/XFGSlA1chJxaLct4qy+25b7ZwEAAJAZX331VQwYMCDeeeedlLPdu3ePgoKC6NixYwaSAVQdilAAAAAAJbBkxZp4/KO5advvuN23jIO7/vJbvYlExFbN60f9Wn5tAwAAUBUkk8m455574rTTTotly5YVO5tIJOK8886Liy66KGrWrJmhhABVh9+oAQAAABSjsCgZj06eE2c9+NFG73VMzzbx5323iRYNaqchGQAAABXd4sWL4/jjj49HHnkk5Wzbtm1j3Lhxsccee2QgGUDVpAgFAAAAsAFFRck464EP49EPy3YS1G86tYhT+mwTHTfdJGrn5aY5HQAAABXZ888/H4MGDYp58+alnB0wYEDceOON0bBhwwwkA6i6FKEAAAAA/suKNeti+rylMfXbJSUqQdWrmRuJRCLq16oRJ+3dPnbdqmls27J+JBKJDKQFAACgIlm5cmWMGDEiRo0alXK2UaNGcdttt8Uf//jHDCQDqPoUoQAAAAD+1/LV62Lva1+NRUtXl3hN03o1Y9KF+5VjKgAAACqLjz76KPLz82PatGkpZ/v06RNjxoyJVq1aZSAZQPWQk+0AAAAAABXBK58ujC4XPVeqElRExEMn9S6nRAAAAFQWRUVFce2118Yuu+ySsgRVs2bNuPbaa+OFF15QggJIMydCAQAAANXa8tXrostFz5Vp7Wl9to52TeumOREAAACVzdChQ+Oee+5JOdelS5coKCiIrl27ln8ogGrIiVAAAABAtbRmXVH8+f7JZS5BPXBCrzhjv20jkUikORkAAACVzdChQyMnp/g/v//5z3+OiRMnKkEBlCMnQgEAAABVXmFRMj6Z+1PM/n5FTJ/3U9z0ypdl3isnEXHXoJ1jly2bpDEhAAAAldnuu+8e5513XlxxxRW/eLb55pvHPffcE/vtt18WkgFUL4pQAAAAQJX006q1sWJ1YTw3bX5c9Pi0jd4vkYjYfouGccKe7WPvDi3SkBAAAICq5KKLLornnnsuJk6c+PO9ww8/PG6//fZo2rRpFpMBVB+KUAAAAECl99OqtfH2l9/FZ/OXxfR5P8Wz0+anZd+Om24Sj5+ye+QkIhKJROTmeA0eAAAAvy4vLy/Gjx8fO+64Y+Tm5saNN94Yxx57rFeqA2SQIhQAAABQqY1/9+u44NGP077vQyf2ih7tvP4OAACAkuvQoUPce++9scMOO8RWW22V7TgA1Y4iFAAAAFApFRYl44+3vxMTv/4hrfvu0q5JjDtul6hVIzet+wIAAFD5JJPJuO2222L//fePLbfcskRrDjvssPINBcAGKUIBAAAAlcKadUXxwewf4p2vFscNL32R9v3r5OXGk6ftHu2b10/73gAAAFQ+8+fPjyFDhsQzzzwTu+22W7z22muRm+tLMwAVmSIUAAAAUCGtWlsYlzwxLV7//LtYV1QUC35anfbPqFczN07bd5vo3b5ZdNm8QeTkJNL+GQAAAFQ+jz32WBx33HHx3XffRUTEW2+9FVdffXX85S9/yXIyAIqjCAUAAABUODMWLYs+171WLns/fspusUOrRuWyNwAAAJXbsmXL4owzzog777zzF88uuuii6Nu3b/To0SMLyQAoCUUoAAAAoEJZW1iUlhJU19aNYvOGteOPO7eOtk3rRdP6NaNB7bw0JAQAAKAqmjBhQvTv3z++/PLLX32+bt26yM/Pjw8++CDq1auX4XQAlIQiFAAAAFAhfL14edz//jdx66tfbdQ+44buEnts0zxNqQAAAKjq1q1bF1deeWVceumlUVhYWOzs7NmzY+LEibHXXntlKB0ApaEIBQAAAGTdrO+WxxG3vxOLlq4u8x5N69WMv/1hByUoAAAASuyrr76K/v37x7vvvptytnv37jF+/Pjo1KlTBpIBUBaKUAAAAEDWDX94SplKUFs1rxd/7NE6+nRsEe2b14+cnEQ5pAMAAKCqSSaTcc8998Rpp50Wy5YtK3Y2kUjEiBEj4uKLL46aNWtmKCEAZaEIBQAAAGTE0lVr494Js2PS1z+sd//5TxaUeI+/HtQ5mtavGb3bN4vmm9RKd0QAAACqgcWLF8fxxx8fjzzySMrZNm3axLhx42LPPffMQDIANpYiFAAAAFDuJn39Qxx+69sbtcenl+0ftfNy05QIAACA6uj555+PQYMGxbx581LO9u/fP2666aZo2LBhBpIBkA6KUAAAAEC5KSpKxohHpsQDE7/dqH2ePm0PJSgAAADKbOXKlTFixIgYNWpUytlGjRrFrbfeGkcddVQGkgGQTopQAAAAQNotXLoq/vXeN3HdC59v1D7n/LZDHLVz62ha32vwAAAAKJuPPvoo8vPzY9q0aSln99lnnxgzZky0bt06A8kASDdFKAAAACCtvv1hRex+9Ssbvc/5B3aKP+25VRoSAQAAUB0VFRXF3//+9zj//PNjzZo1xc7m5eXFlVdeGWeeeWbk5ORkKCEA6aYIBQAAAKTFyjWF8c83Z8S1z2/cKVAREQXH9Yzdtm6WhlQAAABUV3/4wx/i3//+d8q5Ll26REFBQXTt2jUDqQAoT4pQAAAAwEaZs2RlPPfx/Lj0yU9KvXZQ73Y//++83ER0b9M49u7QIurUzE1jQgAAAKqjww8/PGUR6vTTT4+rrroq6tSpk6FUAJQnRSgAAACg1H5cuTY++PqHePur7+KON2aWen2/7TeLG47qFjVyvW4AAACA8nHMMcfEk08+Gffff/8vnm222WZxzz33RN++fbOQDIDyoggFAAAAlMrYd2bFXx+bVub1z/15z9i2Zf1IJBJpTAUAAADrSyQSccstt8Sbb74Z33777c/3f//738fo0aOjadOmWUwHQHlQhAIAAABK7JEPvi1zCerJU3eP7bZomOZEAAAAsGGNGzeOsWPHxr777hv16tWLUaNGxaBBg3w5B6CKUoQCAAAASmTZ6nVx5gMflWnt9Ev3jzo1c9OcCAAAAFLbZ5994pZbbon99tsv2rdvn+04AJSjnGwHAAAAACqHMW/PKvWauwb1iJlXHagEBQAAQNokk8m46667YsmSJSVec+KJJypBAVQDToQCAAAAirVmXVFM/Pr7uOa5z0q8Zvj+HeL3O7aKTRvWLsdkAAAAVDcLFiyIIUOGxNNPPx0vv/xyjB8/PtuRAKhAFKEAAACADVqyYk3k3zkhps39KeXsdls0iAO22yxO2qt95OQkMpAOAACA6uTxxx+P4447LhYtWhQREQUFBdGvX784+uijs5wMgIpCEQoAAADYoKuf/axEJahZI/tlIA0AAADV0fLly+PMM8+M0aNH/+LZSSedFLvttlu0adMmC8kAqGhysh0AAAAAqLje+vK7lDPjhu6SgSQAAABUR++//37suOOOv1qCioj48ccf49hjj42ioqIMJwOgIlKEAgAAADZo9vcrUs7ssU3zDCQBAACgOlm3bl1cfvnl0atXr/jiiy+KnX333Xfjo48+ylAyACoyr8YDAAAAfmHCjMVx1B3vFjuTl5uIOwb2yFAiAAAAqosZM2bEgAED4u23304527179xg/fnx06tQpA8kAqOicCAUAAACsZ/biFfHH0e9GMrnhmVo1cmLM4F1i7w4tMhcMAACAKi2ZTMY999wTXbt2TVmCSiQScd5558U777yjBAXAz5wIBQAAAPxs+ryf4oAb3kg5d8fAHtF762YZSAQAAEB1sHjx4jjhhBPi4YcfTjnbtm3bGDduXOyxxx4ZSAZAZeJEKAAAACAiIlauKSxRCSoiYqe2jcs5DQAAANXFCy+8ENtvv32JSlD9+/ePjz76SAkKgF+lCAUAAABERMRBN5asBHXJIV2iXi2HTAMAALBxVq1aFWeccUb07ds35s2bV+xso0aN4r777otx48ZFw4YNM5QQgMrGby0BAACA+GH5mvhq0fKUc7fmd48Dtt8sA4kAAACoyj766KPIz8+PadOmpZzdZ599YsyYMdG6desMJAOgMnMiFAAAAFRzyWQydrzshZRzz5y+hxIUAAAAG6WoqCiuu+662GWXXVKWoGrWrBnXXnttvPjii0pQAJSIE6EAAACgGlpbWBRj3/k6Xv1sYbzxxXcp5x8+qVd02qxBBpIBAABQVRUVFcUBBxwQzz//fMrZLl26REFBQXTt2jUDyQCoKhShAAAAoJr4ceXaePWzhTFt7k8x+vUZJV73+eUHRM0aDpUGAABg4+Tk5MRuu+2Wsgh1+umnx1VXXRV16tTJUDIAqgpFKAAAAKgGvliwNPb7x+ulXte3c0slKAAAANLmL3/5Szz77LPxzjvv/OLZZpttFvfcc0/07ds3C8kAqAoUoQAAAKAKW7OuKPb7x2vx9eIVZVp/a/+d0pwIAACA6qxGjRoxbty46NatWyxbtuzn+7///e9j9OjR0bRp0yymA6Cy85VOAAAAqKLWFRbFTpe/UOYS1BvD94ncnESaUwEAAFDdtW/fPkaNGhUREfXr14+77rorHnroISUoADaaE6EAAACginpnxuJYumpdmdZ+etn+UTsvN82JAAAA4H8MGjQoZs2aFQMHDoz27dtnOw4AVYQiFAAAAFRS0+f9FM9+PD9mfrf8F8+++WFFTJ69pFT79d+1TQzs1S62bblJmhICAABQXSSTyfjXv/4Vhx9+eOTl5aWcTyQScckll2QgGQDViSIUAAAAVEJvfLEojhszMVavK9qoffbt2CK2b9UwDuu2RbRrVi9N6QAAAKhOFixYEEOGDImnn346Lrzwwrj00kuzHQmAakoRCgAAACqhq57+dKNKUEfv0ib+cmDH2KR26m/pAgAAwIY8/vjjcdxxx8WiRYsiIuKKK66I/fffP3r37p3lZABURznZDgAAAACUzvLV6+KTeT+Vef0F/TrFVb/fXgkKAACAMlu+fHmccMIJceihh/5cgoqIKCoqiv79+8fSpUuzmA6A6koRCgAAACqJGYuWxfFjJ0aXi54r8x6JRMSg3u3SFwoAAIBq5/33348dd9wxRo8e/avPZ86cGaeffnqGUwGAIhQAAABUeC9+siAG3/1e9LnutXj+kwVl3mePbZrFjCsPjBq5fh0AAABA6a1bty4uv/zy6NWrV3zxxRfFzt5///0xa9aszAQDgP9VI9sBAAAAgF9atbYw3vryuzjrwY9iyYq1JV63S7sm0b5FvfXutW9eP/p23jTaNK2b7pgAAABUEzNmzIgBAwbE22+/nXK2e/fuMX78+GjXrl35BwOA/0MRCgAAACqIH1eujaH3vB8Tv/6hzHvcf/yukZOTSGMqAAAAqrNkMhljxoyJU089NZYtW1bsbCKRiHPPPTcuueSSqFmzZoYSAsD/pwgFAAAAWbJo6ep4dPKc+PCbJfHx3B/j68UrNmq/kb/fXgkKAACAtFm8eHGceOKJ8dBDD6WcbdOmTYwbNy723HPPDCQDgF+nCAUAAABZsOCnVdHzypfStt/FB3eOo3Zpk7b9AAAAqN5eeOGFGDRoUMydOzflbP/+/eOmm26Khg0bZiAZAGyYIhQAAABkWFFRMi0lqBo5iXjgxF7RrVUjJ0EBAACQFqtWrYrzzjsvrr/++pSzjRo1iltvvTWOOuqo8g8GACWgCAUAAAAZ9uL0BRu1vuOmm8RfD+ocO2/ZJPJyc9KUCgAAgOpuypQpccwxx8S0adNSzu6zzz4xZsyYaN26dQaSAUDJKEIBAABAhr391eIyreu/a5vot/3m0at90zQnAgAAoDorKiqK66+/Ps4777xYs2ZNsbN5eXlx5ZVXxplnnhk5Ob6cA0DFoggFAAAAGbSusCjueXtWiWY7tNwkRhzYMXq0bRyb1M4r32AAAABUS6tWrYp+/frFyy+/nHK2c+fOUVBQEN26dSv/YABQBopQAAAAkCHJZDIOvfmtYmeO3qVNbL9Fw9i3U4to2aB2hpIBAABQXdWuXTvatGmTcu7000+Pq666KurUqZOBVABQNopQAAAAkAHJZDJe/nRhTJv70wZnDtx+07jq99tnMBUAAABE3HDDDfHaa6/FzJkzf/Fss802i3vuuSf69u2bhWQAUDqKUAAAAFDOPp7zYxx045sp53pu2TQDaQAAAGB9DRo0iHHjxsWee+4ZRUVFP9//3e9+F6NHj45mzZplMR0AlFxOtgMAAABAVVVUlIwHJ35TohJURMQB221azokAAADg1+22225x3nnnRURE/fr146677oqHH35YCQqASsWJUAAAAJAGE2d9H3e/PSs+nvNjFBYlI5mMmLNkZYnXv3jmXtGiQe1yTAgAAADFu+iii2LRokUxfPjwaN++fbbjAECpKUIBAADARli9rjAufvyTuO+92WXeY+8OzWPrFvXTmAoAAAAikslkPPvss7H//vtHIpFIOZ+Xlxe33357BpIBQPnwajwAAAAoo5nfLY8OFzy7USWonETEgF3bpjEVAAAARCxYsCAOOuigOPDAA2Ps2LHZjgMAGaEIBQAAAKWUTCZj/Ltfxz7XvrpR++yxTbO4rf9OsW+nlukJBgAAABHx+OOPx/bbbx9PP/10RESccsopMWPGjCynAoDy59V4AAAAUAqLlq6Ow25+K+YsWVnmPbZtWT+e+/OeJXotAQAAAJTU8uXL48wzz4zRo0evd3/ZsmUxcODAePXVV6NGDX8iBqDqciIUAAAAlMAPy9dE/zsnxM5XvLhRJaiLDu4cT522hxIUAAAAafX+++/Hjjvu+IsS1H+89dZbMXLkyAynAoDMUvcFAACA/5JMJuOJKfPi4Unfxqq1hTFh5vel3qNhnbw4/8BOEYmIWjVyYqe2jaNV47rlkBYAAIDqbN26dTFy5Mi4+OKLo7CwsNjZv/3tbzFs2LBo0qRJhtIBQGYpQgEAAMD/Mf7dr+OCRz/eqD3uGbxz7LVtc6c+AQAAUK5mzJgRAwYMiLfffjvl7I477hgFBQVKUABUaV6NBwAAAP/rxU8WbFQJapd2TWL6pfvH3h1aKEEBAABQbpLJZIwZMya6deuWsgSVSCRixIgR8e6770anTp0ylBAAssOJUAAAAFR7r32+KF6aviDGvvN1mfc4rc/Wcdq+20SNXN85AgAAoPwsXrw4TjzxxHjooYdSzrZp0ybGjRsXe+65ZwaSAUD2KUIBAABQrf39hc9j1EtflHl9r62axvn9OsV2WzRMYyoAAAD4pRdeeCEGDRoUc+fOTTmbn58fN910UzRq1Kj8gwFABaEIBQAAQLW0el1hnDhuUrzy2aIyre+yeYMYN7RnNKlXM83JAAAAYH2rVq2K8847L66//vqUsw0bNoxbb701jj766PIPBgAVjCIUAAAA1c7Nr3wZ1zz3WanWDOzVNprXrxXd2zaOnds1iZo1vAIPAACA8jdlypTIz8+Pjz/+OOXs3nvvHWPGjIk2bdpkIBkAVDyKUAAAAFQrz0ydV+oS1OOn7BY7tGpUPoEAAADgVxQVFcX1118f5513XqxZs6bY2by8vLjyyivjzDPPjJwcX9wBoPpShAIAAKDa+HHF2rj1ta9KtWZgr7ax/RYNyykRAAAA/NKSJUviD3/4Q7z00kspZzt37hwFBQXRrVu38g8GABWcIhQAAABV1tJVa+PVzxbF658vigcnfVvidZs1rB2/775F7LpV09h962aRSCTKMSUAAACsb5NNNol169alnDvttNNi5MiRUadOnQykAoCKTxEKAACAKmXNuqJ4dPKcGP7wlDKtv+SQLnFs73bpDQUAAAClkJubG2PHjo0ddtghfvzxx18833TTTeOee+6J3/72t1lIBwAVlyIUAAAAVcakr3+Iw299u8zrJ17wm2hWv1YaEwEAAEDZtGnTJm655ZbIz89f7/7vfve7GD16dDRr1ixLyQCg4srJdgAAAABIh1nfLd+oEtR1R3RVggIAAKBCOeaYY+KYY46JiIh69erFP//5z3j44YeVoABgA5wIBQAAQKV3x+sz4oqnp5d5fcM6ebHHtn6JDAAAQMVz8803x5o1a2LkyJHRvn37bMcBgArNiVAAAABUWoVFyRjz9qwyl6ASiYgdWjWMguN6RotNaqc5HQAAAPxSMpmMd999t8TzjRo1igcffFAJCgBKwIlQAAAAVDqfzP0pDhz1RqnX5SQiDuu2RRzUdbPYfotGUadmbtSv5UdjAAAAMmPBggUxdOjQePrpp+OVV16JvfbaK9uRAKBK8dteAAAAKrwvFiyNse98HR99uySmfPtjqddfeFDnyO/ZJmrn5ZZDOgAAAEjtiSeeiKFDh8aiRYsiImLAgAExZcqUaNSoUXaDAUAVoggFAABAhfbxnB/joBvfLNPalg1qxTsj9o2cnESaUwEAAEDJLF++PM4666y4/fbb17v/zTffxMknnxwFBQVZSgYAVU9OtgMAAADAhqxaW1jmEtQp+2wdE/7yGyUoAAAAsub999+PHXfc8RclqP+499574957781wKgCouhShAAAAqLAemPhNmdb9aY8t4+zfdkhzGgAAACiZdevWxeWXXx69e/eOL774otjZs846K1atWpWhZABQtXk1HgAAABXO/B9XxejXZ8Rdb80s9dpz9+8YJ+3dvhxSAQAAQGozZsyIAQMGxNtvv51ydscdd4yCgoKoXbt2BpIBQNWnCAUAAECF8OE3S2L061/F01Pnl3rtKftsHYftuHm0b14/EgmvwgMAACDzkslkjB07Nk499dRYunRpsbOJRCLOPffcuOSSS6JmzZoZSggAVZ8iFAAAAFm1trAorn7m07jzzdKd/vSXAztG580aRo92jaN2Xm45pQMAAIDUFi9eHCeeeGI89NBDKWfbtGkT48aNiz333DMDyQCgelGEAgAAIGvWFRbFkbe/E5NnLynVutsH7BS/7bJp+YQCAACAUnjhhRdi0KBBMXfu3JSz/fv3j5tuuikaNmyYgWQAUP3kZDsAAAAA1dfFT0wrdQlqs4a14zedWpZPIAAAACihVatWxRlnnBF9+/ZNWYJq2LBh3HfffTFu3DglKAAoR06EAgAAIOO++X5FPDjp2xj/7uxSrevWulE8fFLvyM1JlFMyAAAASG3KlCmRn58fH3/8ccrZvffeO8aMGRNt2rTJQDIAqN4UoQAAAMiokc98Gre99lWp1uyyZZO48nfbxdYtNimnVAAAAJBaUVFRXH/99XHeeefFmjVrip3Ny8uLK6+8Ms4888zIyfGiHgDIBEUoAAAAMub5afNLXILapFaNGDN0l9hhi4ZRI9cvjAEAAMiuhQsXxjHHHBMvvfRSytnOnTtHQUFBdOvWrfyDAQA/U4QCAAAgI9YVFsXx4yaVaPbSQ7tE/55tI8cr8AAAAKgg6tWrF7Nnp37F+2mnnRYjR46MOnXqZCAVAPB/+UotAAAA5W5dYVHsfMWLJZrt3qZRDOzVTgkKAACACqVevXpRUFAQubm5v/p80003jWeffTZuuOEGJSgAyBJFKAAAAMrdy58ujB9WrE0512KTWnHtEV0zkAgAAABKb+edd46LL774F/d/97vfxdSpU+O3v/1t5kMBAD9ThAIAAKDcvTfz+5QzF/TrFI+dslts1bx+BhIBAABA2YwYMSJ69+4dERH169ePu+66Kx5++OFo1qxZlpMBADWyHQAAAICqb8XawmKff3rZ/lE779dfLQAAAAAVSY0aNWL8+PFx4oknxi233BLt27fPdiQA4H85EQoAAIBylUwmY1UxRagXz9xLCQoAAICsSiaT8cknn5R4fsstt4znnntOCQoAKhgnQgEAAFAuVq8rjPw7JsTEr3/Y4MxvOrWMrVt4FR4AAADZs2DBghgyZEi8+uqrMXny5Nh2222zHQkAKCMnQgEAAJB2PyxfEx0ueLbYElRERO08P5YCAACQPU888URsv/328fTTT8eKFSuif//+sXbt2mzHAgDKyG+cAQAASLvhD08p0ZxX4gEAAJANy5cvjxNPPDEOOeSQWLRo0c/333///bjsssuymAwA2BhejVeBfPXVV/Hee+/Ft99+G2vWrInGjRtHx44do3fv3lG7du2s5VqyZEm8//77MXPmzFiyZEkUFRVFw4YNo1WrVrHzzjvHpptumrVsAABAxbNo6ep44ZMFJZrdpV2Tck4DAAAA63v//fcjPz8/vvjii199fsUVV8T+++8fvXv3znAyAGBjKUJVAI8++mhcdtll8cEHH/zq8/r168egQYPioosuimbNmmUs1yOPPBI33XRTvPrqq5FMJjc4t+OOO8aJJ54YQ4YMiRo1/J8UAABUd1c+Pb3Eswd13awckwAAAMD/t27duhg5cmRcfPHFUVhYuMG5oqKi+NOf/hRTp06NnBwv2AGAysT/586i1atXR//+/eN3v/vdBktQERHLli2Lm266KTp37hyvv/56uedavHhx9OvXLw4//PB45ZVXii1BRURMnjw5TjjhhNh1113jyy+/LPd8AABAxTN3ycq4/73Z0efaV+Pfk+eknG/btG5Mv3T/qFvTlykAAAAofzNmzIi99torLrzwwmJLUBER3bp1iwcffFAJCgAqIb9xzpKioqL44x//GI899th693Nzc6NNmzbRsGHDmDlzZvz4448/P1u0aFEccMAB8eKLL0avXr3KJddPP/0Uffv2/dViVvPmzaN169aRSCRizpw5MX/+/PWeT5o0KfbZZ5944403ol27duWSDwAAqFgenPhNnPPQlBLPjx/aM3q0axy183LLMRUAAAD8j2QyGWPHjo1TTz01li5dWuxsIpGI4cOHx6WXXho1a9bMUEIAIJ3UmLPkmmuu+UUJ6sQTT4zZs2fHjBkzYvLkyfH999/HI488Em3atPl5ZsWKFXHkkUeuV5BKp7/85S+/KEEdcsgh8cEHH8TChQtj0qRJMXHixJg3b1588sknkZ+fv97st99+G8cff3y5ZAMAALJr4qzv47xHpsRJ4yfFCeMmRrsRT5WqBNWmSd3YfZtmSlAAAABkxOLFi+PII4+MQYMGpSxBtWnTJl555ZUYOXKkEhQAVGKJZKr3npF2ixcvji233HK9f3BdddVVMWLEiF+dnzNnTuy+++4xa9asn+/99a9/jUsuuSStuRYuXBibb775eseBnnTSSXHLLbcUu+6yyy6Lv/71r+vde/vtt8vt1KqSmDZtWmy33XY/X3/88cfRpUuXrOUBAIDKqrAoGR9+syQOv/Xtjd7rjeH7ROsmddOQCgAAAIr3wgsvxKBBg2Lu3LkpZ4855pi4+eabo1GjRuUfDACquGz3NZwIlQV/+9vf1itB7bnnnnHuueducH6LLbaIO++8c717//jHP2Lx4sVpzfXkk0+uV4Jq3rx5XHvttSnXnX/++dGpU6f17j3xxBNpzQYAAGTWjyvWxiVPTIv2f3k6LSWoY3q2UYICAACg3K1atSrOOOOM6Nu3b8oSVMOGDaOgoCAKCgqUoACgilCEyrCioqK4++6717t38cUXRyKRKHbdvvvuG3vsscfP10uXLo0HHnggrdk+++yz9a5/+9vfRt26qf9QkZOTE7/73e/Wu/fll1+mNRsAAJA5K9cURv9/Toi735qVlv2G7d0+rvzd9mnZCwAAADZkypQpsfPOO8f111+fcnavvfaKKVOmxDHHHFP+wQCAjFGEyrC33347Fi1a9PP1VlttFXvvvXeJ1g4dOnS960cffTSNySK+//779a5bt25d4rVt2rRZ73rJkiXpiAQAAGTBQ5O+ialzftyoPdo0qRvH9mob752/bwzfv2OakgEAAMAvFRUVxd///vfYeeed4+OPPy52Ni8vL/72t7/FSy+99Iu/bwEAlV+NbAeobp566qn1rvfbb7+Up0H939n/69VXX43ly5dHvXr10pKtYcOG612vXLmyxGv/e7ZZs2ZpyQQAAGRGUVEyvv1hZUyYuTgufGxamfe597ie0XOrppGbU7KfcwAAAGBjzJ07NwYMGBAvv/xyytlOnTrFvffeG926dSv/YABAVihCZdiHH3643nXv3r1LvHbzzTePdu3axaxZsyIiYs2aNfHJJ5/EzjvvnJZs//2Pvvfff7/Ea9977731rnfZZZd0RAIAADJg/Ltfxz9e+DwWL19TqnW/775F1K9VIzapXSN6t28Wvds3LfEXPQAAACBd/vvvb7/m1FNPjauvvjrq1KlT/oEAgKxRhMqw6dOnr3fduXPnUq3v3Lnzz0Wo/+yXriLUQQcdFPXq1Yvly5dHRMRbb70V77zzTvTq1avYdV9++WU8/PDDP1/Xrl3b+5QBAKCSeOWzhXHBo8W/NuC//eXAjvGnPbZSegIAACDrNt988xg9enT84Q9/+NXnm266adx9992x//77ZzgZAJANOdkOUJ2sXLkyZs+evd691q1bl2qP/57/7LPPNjrXfzRq1Cj+8pe/rHfv8MMPL/ZkqOnTp8eBBx4Ya9b8/2+OX3755dGiRYu05QIAAMrPgxO/KfHseQd0jFkj+8Xxe7ZXggIAAKDCOPzww2Pw4MG/uH/YYYfF1KlTlaAAoBpxIlQGfffdd5FMJn++zsvLK3VhaIsttljveuHChWnJ9h8jRoyIadOmxb333hsREfPmzYtevXpFv379om/fvtG2bdtIJBIxZ86cePnll+ORRx6JtWvXrrf+rLPOSmumhQsXxqJFi0q15ssvv0xrBgAAqIqmz/spnp46v0SzPdo2juP33KqcEwEAAEDZ3HDDDfHaa6/FjBkzol69enHDDTfEkCFDfJEHAKoZRagMWrZs2XrXdevWLfU/vurVq1fsnhsrJycnxo8fH717945LLrkkFi1aFIWFhfH444/H448/vsF1u+22W1xyySWx7777pjVPRMQtt9wSl1xySdr3BQCAqi6ZTMbs71fE3CWr4ouFS2P06zNi5ZrCqFerRsz+fkWJ9+m0WYN46KTe5ZgUAAAANs4mm2wS48aNi+HDh8c999wTW2+9dbYjAQBZoAiVQf9dWqpdu3ap96hTp06xe6ZDIpGIk08+OQ499NA46aST4sknnyx2frfddouzzjor9tlnn7RnAQAAyublTxfEkHsm/uqzxcvX/Or9/9a4bl78YadWcd4BndIZDQAAAEokmUzGt99+G61bty7RfO/eveONN95wChQAVGOKUBm0atWq9a5r1qxZ6j1q1aq13vXKlSs3KtOvWb58eVx44YVx2223lWj/t956K956663o2LFj3H333bHrrrumPRMAAFAyj380N067b/JG73Nb/+7Rt/OmkZPjl8cAAABk3sKFC2Po0KExadKkmDp1ajRt2rRE65SgAKB6U4TKoP8+AWrNmpJ9C/v/Wr16dbF7bqy5c+fGvvvuG59++unP9zp06BCnn3569OnTJ1q1ahU5OTkxb968eOONN+LGG2+MSZMmRUTEp59+GnvssUc8+OCDcdhhh6Ut07Bhw+KII44o1Zovv/wyrRkAAKAyeOWzhWkpQeUkIn7bZVO/PAYAACArnnzyyRg6dGgsXLgwIiKOP/74eOihh/ycCgCkpAiVQfXr11/v+r9PiCqJ/z6h6b/33BirVq2Kvn37rleCOu644+Lmm2/+xelVW221VWy11VYxcODAuPDCC+OKK66IiIh169bF0UcfHR988EF06pSe12e0aNEiWrRokZa9AACgqiosSsbgu99Py17vn/8bv1wGAAAg45YvXx5nn3123Hbbbevdf+SRR2LMmDExaNCg7AQDACqNnGwHqE7+u7S0YsWKSCaTpdpj+fLlxe65Ma6++uqYNm3az9d9+vSJ22+/vdhX+CUSibj88stjwIABP99btWpVnHXWWWnLBQAAFK+wKBl7XP3yRu8zdPct473z942m9WulHgYAAIA0mjhxYnTv3v0XJaj/OPXUU2PGjBkZTgUAVDZOhMqgZs2aRSKR+Ln8tHbt2li4cGG0bNmyxHvMmTNnvet0nZRUWFgYN91003r3Lr/88sjJKVlX7oorroiCgoIoKiqKiIhnn302vvnmm2jdunVa8gEAABv21pffxdwfS3fi7J/22DK2blE/EpGIzps3iM6bNYicHKdAAQAAkFmFhYUxcuTIuPjii2PdunUbnFu2bFkcf/zx8eKLL2YwHQBQ2ShCZVCdOnWiTZs28fXXX/98b/bs2aUqQs2ePXu9644dO6Yl25QpU+K77777+bpZs2ax6667lnh969ato2vXrjF58uSIiEgmk/Hmm2/G0UcfnZZ8AADAht333uyUM/86ftfouVXTDKQBAACAkpk5c2YMGDAg3nrrrZSz3bp1i1GjRmUgFQBQmXk1Xob9d3Hpk08+KdX66dOnF7tfWc2cOXO963bt2kUiUbpvg2+55ZbrXf/36VUAAED6LV+9Lp75eH6xM9Mu+a0SFAAAABVGMpmMsWPHRteuXVOWoBKJRJx77rkxYcKE6Ny5c4YSAgCVlSJUhnXr1m2967fffrvEa+fNmxezZs36+TovLy9t/+BbvXr1etc1apT+sLC8vLz1rgsLCzcqEwAAULx5P66MLhc9V+zMc3/eM+rVchgwAAAAFcP3338ff/zjH+PYY4+NpUuXFjvbpk2beOWVV2LkyJFRs2bNDCUEACozRagMO+igg9a7fvHFFyOZTJZo7fPPP7/e9T777BP169dPS66mTdf/dvjcuXNLvcd/nwDVvHnzjcoEAAAUb/Dd7xf7/OhdWkeHTTfJUBoAAAAo3osvvhjbb799PPjggyln8/Pz46OPPoq99torA8kAgKpCESrDevfuHc2aNfv5esaMGfHqq6+WaO0///nP9a4PPfTQtOVq167detezZ8+Or776qsTrly5dGu+/v/4fYdq3b5+OaAAAUO39uGJtTJ79w8//3ffe7Gg34qn4dH7x35w9rNsWGUoIAAAAG7Zq1ao488wzY7/99kv5ZfyGDRvGvffeG+PHj49GjRplJiAAUGV4P0KG5eTkxKBBg+Laa6/9+d4ll1wSe++9dyQSiQ2ue+mll+KNN974+XqTTTaJI488Mm25tt1222jVqlV8++23P9+79tpr49Zbby3R+r///e/rvV6vbt26seuuu6YtHwAAVEer1hbGGf/6MJ6bNj+KSnaQ7Hp6btU09RAAAACUoylTpkR+fn58/PHHKWf32muvGDt2bLRp0yYDyQCAqsiJUFlw7rnnrvdKu9deey2uvvrqDc7PmTMnjjvuuPXunX766eudLPVrEonEev+lOnmqf//+613ffvvtMXbs2GLXREQ88cQTcfnll69376ijjopatWqlXAsAANVdMpmM6fN+it1GvhztRjwVW573VGz1v/91vPDZeObjspWgxg7ZJf1hAQAAoISKiori73//e+y8884pS1B5eXnxt7/9LV566SUlKABgoyhCZUGzZs3iL3/5y3r3zjvvvBg2bNh6x4EWFRXFo48+Gr17945Zs2b9fH/zzTePs846K+25hg8fHk2aNPn5OplMxrHHHhuDBw+OadOm/WL+yy+/jFNPPTUOO+ywWLdu3c/369atG3/961/Tng8AAKqab75fEXte80occMMbMWfJyoiISCYjiv73v7IaPWCn2HPb5mlKCQAAAKUzZ86c6Nu3b5x11lmxZs2aYmc7d+4c7733XpxzzjmRm5uboYQAQFXl1XhZcu6558bbb78dTz755M/3br311hg9enS0bds2GjZsGDNnzowlS5ast65OnTrxwAMPlMs7kRs3bhz//ve/o2/fvuu95u6ee+6Je+65J1q0aBGtWrWKRCIRc+fOjXnz5v1ij5ycnLj33nujbdu2ac8HAABVwazvlseol7+IRz6YUy77X/m77aNvl03LZW8AAAAoiUWLFsXrr7+ecu7UU0+Nq6++OurUqZOBVABAdeBEqCzJycmJBx98MI466qj17hcWFsaMGTNi8uTJvyhBNW3aNJ5++unYbbfdyi3XnnvuGS+++OKvFpkWLlwYH3zwQUyaNOlXS1AtW7aMJ554Ig499NByywcAAJXZS9MXxN7XvlpuJagT9toqjunpFQIAAABkV7du3eKKK67Y4PNNN900nnnmmRg1apQSFACQVopQWVS7du2477774qGHHopu3bptcK5evXoxbNiw+OSTT2Lvvfcu91y77757TJ06Nf7xj39Ex44dU863a9cuLr/88pg2bVoceOCB5Z4PAAAqo6KiZAx/aEq57H3+gZ3io4v6xnkHdCqX/QEAAKC0zjzzzF/9u9Zhhx0WU6dOjf333z/zoQCAKi+RTCaT2Q7B//jyyy9jwoQJMWfOnFizZk00atQoOnXqFLvttlvUrl07a7nmz58f77//fsydOzeWLFkSyWQyGjZsGC1btowePXpEmzYV7xvn06ZNi+222+7n648//ji6dOmSxUQAAFR3XyxYGvv9I/VrAYqzaYPacc+QnaNd03oREVEjJxE1cn2/BQAAgIpp9uzZscMOO8SPP/4Y9erVi1GjRsXgwYMjkUhkOxoAUE6y3deokbFPIqWtt946tt5662zH+IVNN900Dj744GzHAACASm3h0tUlnu3TsUUM2W3L+L+/F27ZoFa0b17fL4sBAACoNNq0aRO33nprjBo1KsaPHx/t27fPdiQAoIpThAIAAChHyWQyLn3yk7j7rVkpZ3du1ziuPaJrtP3fE58AAACgokkmk/H9999H06ZNSzR/9NFHx5FHHhm5ubnlnAwAQBEKAACgXI179+uUJah7j+sZXVs3inq1/IgGAABAxbVw4cIYOnRofPPNNzFhwoSoVatWidYpQQEAmZKT7QAAAABV0aq1hXHTy1/EXx+blnJ2ly2bKEEBAABQoT355JOx/fbbx5NPPhkfffRRXHjhhdmOBADwC4pQAAAAaVZYlIzjx02Ka5//POVs7/ZNo0auH80AAAComJYvXx4nnXRSHHzwwbFw4cKf71977bXxyiuvZDEZAMAv+W07AABAmn0w+4d4/fNFJZr9+5HdyjcMAAAAlNHEiROje/fucdttt/3iWTKZjIEDB8YPP/yQhWQAAL9OEQoAACCNZixaFkfc9k6JZqdfun9s2rB2OScCAACA0iksLIwrrrgievXqFZ9/vuHTjr/99tv485//nLlgAAAp1Mh2AAAAgKpibWFR9LnutZRzOYmIzy8/wCvxAAAAqHBmzpwZAwYMiLfeeivlbNeuXWP48OEZSAUAUDJ+6w4AAJAmp947uURzH1/yWyUoAAAAKpRkMhljx46Nrl27pixBJRKJGD58eEyYMCG6dOmSoYQAAKk5EQoAACANioqS8ey0+cXOdG3VMB49ebdIJBIZSgUAAACpff/993HiiSfGgw8+mHK2devWMXbs2Nh7773LPxgAQCn5CjIAAEAarFhbWOzzvNxEXHhQZyUoAAAAKpQXX3wxtt9++xKVoI4++uiYMmWKEhQAUGEpQgEAAGyk2YtXRP6dE4qdGTukZ/Ro1yRDiQAAAKB4q1atirPOOiv222+/mDt3brGzDRs2jIKCgrj33nujUaNGmQkIAFAGXo0HAABQRslkMk65b3I8NWVesXMPn9QrdmqrBAUAAEDFMHXq1MjPz4+pU6emnN1zzz1j7Nix0bZt2wwkAwDYOIpQAAAApZBMJmP6vKXxybyf4uwHPyrRmpq5ueWcCgAAAFIrKiqKG264IUaMGBFr1qwpdjYvLy8uv/zyOOussyLXz7UAQCWhCAUAAFBC0+f9FAfc8Eap1zWo40cvAAAAsmvOnDlx7LHHxksvvZRytlOnTlFQUBA77rhjBpIBAKRPTrYDAAAAVAa3v/ZVmUpQrRrXiTZN6pZDIgAAACi5Dz/8sEQlqFNOOSUmTZqkBAUAVEq+lgwAAPBfHpr0bZz94EdRr2Zu1KyREz+sWFumfTapXSNuPqZ7JBKJNCcEAACA0unXr1+ceOKJcdttt/3q80033TTuuuuuOOCAAzKcDAAgfRShAAAA/lcymYy+/3g9vli4LCIilq8pjOVrCku9T5+OLeKPO7eOXu2bRoPaeemOCQAAAGVy7bXXxssvvxyff/75evcPO+ywGD16dDRv3jxLyQAA0kMRCgAA4H/9e/Kcn0tQZXXHwB6xX+eWaUoEAAAA6VOvXr0oKCiIXr16xbp166JevXpxww03xJAhQ5xmDABUCYpQAAAA/+vVzxaVaV3rJnVihy0axYBebWPXrZqmORUAAACkT48ePeLiiy+OJ554IsaPHx9bb711tiMBAKSNIhQAAEBEvPb5onj8o7mlWnNsr7ZxyaHblVMiAAAAKJlkMhkrVqyIevXqlWh+xIgRMXz48MjL8zp3AKBqUYQCAACqvX+88Hnc8NIXpVoz4oCOceJe7cspEQAAAJTMwoULY+jQoRER8fjjj5foFXe5ubmRm5tb3tEAADJOEQoAAKjWFi1dnbIE1XyTWnHJIV0iIqJ2Xk50b9M4GtWtmYl4AAAAsEFPPfVUDBkyJBYuXBgREaNHj44TTjghy6kAALJHEQoAAKhW1hUWxRtffBfvzfo+Vq4pjHvenpVyzQX9OsWB229W/uEAAACgBFasWBFnn3123HrrrevdP+OMM2LvvfeODh06ZCkZAEB2KUIBAADVwoo16+KyJ6fHfe/NLvXaPbdpXg6JAAAAoPQmTpwY/fv3j88+++wXz1auXBn9+/ePt99+O/Ly8rKQDgAgu3KyHQAAAKC8JZPJ6PzX58pUgnr6tD2icT2vwQMAACC7CgsL48orr4xevXr9agnqPyZOnBiXXnppBpMBAFQcToQCAACqvIsfn1bqNXXycuODC/eLOjVzyyERAAAAlNysWbNiwIAB8eabb6ac7datWxx11FEZSAUAUPEoQgEAAFXS6nWFcdebs+KGlz6PVWuLSr3+nfP6KEEBAACQVclkMsaPHx8nn3xyLF26tNjZRCIR55xzTlx66aVRq1atDCUEAKhYFKEAAIAq5dXPFsaf//VhLFmxtsx73DWoRzSq63V4AAAAZM/3338fJ510UjzwwAMpZ1u3bh1jx46Nvffeu/yDAQBUYIpQAABAlTHymU/jtte+KvW6vp1bRkTE1i3qR78dNosumzdMdzQAAAAosZdeeimOPfbYmDNnTsrZo48+Om655ZZo1KhR+QcDAKjgFKEAAIAq4Z2vFpe6BPXkqbvHdlsoPQEAAFAxrF69Os4///y47rrrUs42bNgwbrnlljjmmGMykAwAoHJQhAIAAKqEo+94t1TzO7VtrAQFAABAhTF16tTIz8+PqVOnppzdc889Y+zYsdG2bdsMJAMAqDxysh0AAABgYxRM+DrajXiqVGvaN68Xt+Z3L6dEAAAAUHJFRUVx/fXXx84775yyBJWXlxdXX311vPzyy0pQAAC/wolQAABApTT/x1Wx61UvlWrNiAM6xq5bNY3tt2gYuTmJckoGAAAAJTNnzpwYNGhQvPjiiylnO3XqFAUFBbHjjjtmIBkAQOWkCAUAAFQqC5euiuPHTooPv1lSovn9OreMG47qFnVr+vEHAACAiuXRRx8tUQnqlFNOib/97W9Rp06dDKQCAKi8vBoPAACoNJLJZOxyxUslLkFFRNwxsIcSFAAAABXSSSedFH379t3g85YtW8bTTz8dN954oxIUAEAJKEIBAACVwk+r1saW5z1dqjV3D965nNIAAADAxsvJyYm77747mjZt+otnhx56aEydOjUOOOCALCQDAKicFKEAAIAKragoGVO//TF2uPj5Uq27fcBOsU+HFuWUCgAAANJj8803j9GjR/98Xa9evbjzzjvj3//+dzRv3jyLyQAAKh/vhwAAACqsoqJkjHhkSjww8dsSr3noxF6xU9vGkUgkyjEZAAAApM/vf//7GDJkSEybNi3Gjx8fW2+9dbYjAQBUSopQAABAhZRMJmPPa16Jb39YWaL5Y3u1jYsO7hI5OQpQAAAAZF8ymYx169ZFXl5eieZvvPHGyMvLK/E8AAC/pAgFAABUSGc9+FGJS1BTLu4bDWr7RTEAAAAVw8KFC2Po0KGx1VZbxQ033FCiNXXr1i3nVAAAVZ8iFAAAUOHc8fqMeOSDOSWanXbJb6NeLT/aAAAAUDE8+eSTMXTo0Fi4cGFERBx44IHx29/+NsupAACqB38tAAAAKox1hUWx9fnPlHj+pL3bK0EBAABQIaxYsSLOPvvsuPXWW9e7P2jQoJg6dWo0a9YsS8kAAKqPnGwHAAAA+I/fXv96ieY6tNwkrvnDDjH8tx3KOREAAACkNnHixOjevfsvSlAREfPnz48TTjghkslkFpIBAFQvvjoNAABkTTKZjEc/nBOvfbYoHv1wbonW3DWoR/Tp2LKckwEAAEBqhYWFcfXVV8dFF10U69at2+DcI488EnfffXcMGTIkg+kAAKofRSgAACBrThw/KZ6btqDE87/bcQslKAAAACqEmTNnxoABA+Ktt95KOdu1a9fo2bNnBlIBAFRvXo0HAABkxSMffFuqEtR2WzSIiw7uXI6JAAAAILVkMhnjxo2Lrl27pixBJRKJOOecc2LChAnRpUuXDCUEAKi+nAgFAABk3A/L18SZD3xU4vl/Htsjdtu6WdTOyy3HVAAAAFC877//Pk466aR44IEHUs62atUqxo4dG/vss08GkgEAEKEIBQAAZFBRUTKmz/8p+o16s8Rr7h68c+zToUU5pgIAAIDUXnrppTj22GNjzpw5KWePOuqouOWWW6Jx48YZSAYAwH8oQgEAAOVu5ZrCuODRj+PhD74t1brzDuioBAUAAEBWrVq1Ks4///z4+9//nnK2QYMGccstt0R+fn4GkgEA8N8UoQAAgHKx8KdV8dwnC+KpKXPj3Rnfl3hdzy2bRJ+OLWK3rZvFdls0LMeEAAAAULypU6dGfn5+TJ06NeXsnnvuGWPHjo22bdtmIBkAAL9GEQoAAEibKd8uicNufiuKkmVbv9vWTaPguF3TGwoAAABKqaioKEaNGhUjRoyI1atXFzubl5cXl112WZx99tmRm5uboYQAAPwaRSgAAGCjJZPJOPimN+PjOT9t1D7jh/ZMUyIAAAAomzlz5sSgQYPixRdfTDnbsWPHKCgoiO7du2cgGQAAqeRkOwAAAFC5LVu9LrY87+mNLkF9cOF+kUgk0pQKAAAAyubGG28sUQnq5JNPjkmTJilBAQBUIIpQAADARhl6z/sbtX7Y3u3jqysPjCb1aqYpEQAAAJTdRRddFF26dNng85YtW8ZTTz0VN910U9StWzeDyQAASMWr8QAAgDJ7d8bimDDz+1Kv26R2jXj8lN2jXdO6ToECAACgQqlTp04UFBTELrvsEmvWrFnv2aGHHhp33HFHNG/ePEvpAAAojiIUAABQJiOf+TRue+2rEs9v2axeHLzDZvH77q2iXbN65ZgMAAAANk7Xrl3jiiuuiHPOOSciIurWrRs33HBDDB061Bd6AAAqMEUoAACgxFatLYxzH54Sj304t0TzJ+/TPg7cfrPotGmDyMnxi2IAAAAqjzPPPDOefvrpWL58eYwfPz622WabbEcCACAFRSgAACClrxcvj9Gvz4iCCbNLvGbaJb+NerX8yAEAAEDFkUwmIyJKdKpTTk5OPPjgg9GgQYPIy8sr72gAAKSBv0oAAAC/auFPq+Ldmd/HO199F/e9902p1p60d3slKAAAACqUhQsXxnHHHRe/+c1v4rTTTivRmqZNm5ZzKgAA0slfJgAAgF8omPB1nP/vj8u0tvNmDWL4bzukOREAAACU3VNPPRVDhgyJhQsXxvPPPx/77rtvdOnSJduxAABIs5xsBwAAACqW0a9/VeYS1PD9O8TTp+9RolcMAAAAQHlbsWJFDBs2LA466KBYuHBhRESsXr068vPzY/Xq1VlOBwBAuilCAQAAP3tyyty48ulPy7T2ssO2i2F7b53mRAAAAFA2kyZNiu7du8ett976i2cfffRRXHjhhVlIBQBAeVKEAgAAIiKisCgZp9w7uVRrauQkYtTRO8Z7f9k3BuzatpySAQAAQMkVFhbGVVddFbvuumt89tlnG5y79tpr45VXXslgMgAAyluNbAcAAAAqhs8XLC3V/Ktn7x3tmtUrpzQAAABQerNmzYoBAwbEm2++mXJ2hx12iBYtWmQgFQAAmaIIBQAARETE/B9XpZzpuWWT2LdTixi6+1aRm5PIQCoAAABILZlMxvjx4+Pkk0+OpUuL/6JPIpGIs88+Oy677LKoVatWhhICAJAJilAAAFCNrVpbGI99OCfOfXhqsXMDe7WNSw/dLkOpAAAAoOS+//77OOmkk+KBBx5IOduqVasYO3Zs7LPPPhlIBgBApilCAQBANTVnycrYbeTLJZr9y4GdyjkNAAAAlN7LL78cAwcOjDlz5qScPeqoo+KWW26Jxo0bZyAZAADZkJPtAAAAQOa9NH1BiUtQAAAAUNGsXr06zj777Nh3331TlqAaNGgQBQUFcd999ylBAQBUcU6EAgCAambV2sIYOmZiiefbNa0btfNyyzERAAAAlNzHH38c+fn5MWXKlJSze+65Z4wdOzbatm2bgWQAAGSbE6EAAKAaSSaT0fHCZ0u15o87tymnNAAAAFByRUVFcf3110ePHj1SlqDy8vJi5MiR8fLLLytBAQBUI06EAgCAauS4UpwE1aHlJnH4TlvEn/bYqhwTAQAAQGpz586NQYMGxQsvvJBytmPHjlFQUBDdu3fPQDIAACoSRSgAAKgm3pv5fbz06cKUc9ce0TUO775FJBKJDKQCAACA1M4999wSlaBOOeWUuPrqq6Nu3boZSAUAQEXj1XgAAFANrFizLo68/Z2Uc28M3yf+sFMrJSgAAAAqlOuuuy5atGixwectW7aMp59+Om688UYlKACAakwRCgAAqrCiomTk3/ludP7rcylnnz5tj2jdxC+LAQAAqHhatGgR//znP3/12aGHHhpTp06NAw44IMOpAACoaBShAACgikomk9HzqpfirS8Xp5x94pTdo/PmDTKQCgAAAMrmoIMOipNOOunn67p168Ydd9wR//73v6N58+ZZTAYAQEVRI9sBAACAjZdMJuPLhctiycq1/3sdJXoVXkTE2X23je1bNSzPeAAAAJAW1157bbz88svRsGHDGD9+fGyzzTbZjgQAQAWiCAUAAJXch98siRPGTYwFP60u0/rj92yf5kQAAABQcslkMhKJRIlm69atG88//3xsttlmkZeXV87JAACobLwaDwAAKrFvf1gRh938VplLUPce1zNq1vBjAQAAANmxcOHCOOyww+KJJ54o8Zo2bdooQQEA8KucCAUAAJXU+He/jgse/bhMa5vUqxlPnrp7bN6oTppTAQAAQMk89dRTMWTIkFi4cGG88847MXXq1GjZsmW2YwEAUIn56jcAAFRCD078pswlqEeG9Y4PLtxPCQoAAICsWLFiRQwbNiwOOuigWLhwYURELFq0KIYOHRrJZDLL6QAAqMwUoQAAoJJYtbYw3v7yuzhx3KQ456EpZdrjvj/tGt3bNE5zMgAAACiZSZMmRffu3ePWW2/9xbOnnnoqbr/99iykAgCgqvBqPAAAqATe/vK7OG7sxFixprBM63fdqkmMHdIzatbwXQgAAAAyr7CwMP72t7/FX//611i3bt0G584888zYZ599okOHDhlMBwBAVaEIBQAAFdw336+IY+6cUOL5+rVqxAcX7hc5if+5zs1JRCKRKKd0AAAAULxZs2bFgAED4s0330w5u80220RRUVEGUgEAUBUpQgEAQAW0am1h3PnGjLj2+c9LtW5Q73Zx8SFdyikVAAAAlFwymYzx48fHySefHEuXLi12NpFIxFlnnRWXX3551KpVK0MJAQCoahShAACggnng/W9i+MNTSr1u8G7t4qKDlaAAAADIvu+//z5OOumkeOCBB1LOtmrVKsaMGRN9+vTJQDIAAKoyRSgAAMiiwqJkTPl2SXw858f/+d9zfoxHPphT6n0G9mqrBAUAAECF8PLLL8fAgQNjzpzUP9/+8Y9/jFtvvTUaN26cgWQAAFR1ilAAAJAhK9cUxleLlkUyGfH9ijVx40tfxMSvf9ioPbdqXi/GDe0ZWzSqk6aUAAAAUDarV6+O888/P6677rqUsw0aNIhbbrkljjnmmEgkEhlIBwBAdaAIBQAA5aywKBkXPvZxPDTx21hTWJSWPevXqhEFx/WMrq0bpWU/AAAA2Bgff/xx5Ofnx5QpqV/1vscee8TYsWOjXbt25R8MAIBqRREKAADKweJlq+OyJz+JN7/8Lr5btiate/fp2CLO7tshOm/eIK37AgAAQGkVFRXFqFGjYsSIEbF69epiZ2vUqBGXXXZZnHPOOZGbm5uhhAAAVCeKUAAAkGZrC4si/84J8en8pWnd99b87rFvp5ZRs0ZOWvcFAACAspgzZ04MGjQoXnzxxZSzHTt2jIKCgujevXsGkgEAUF0pQgEAQJp9+M2StJagtmhUJx4Z1jtaNqidtj0BAABgYx177LHx0ksvpZwbNmxYXHPNNVG3bt0MpAIAoDpThAIAgDT7eM6PG7W+Q8tNIiKiZo2c2Klt4xi6+5ZKUAAAAFQ4o0aNip122ilWrVr1q89btGgRd999dxx44IEZTgYAQHWlCAUAAGn00vQFcckTn5R63cFdN48RB3SMLRrVKYdUAAAAkH6dO3eOv/3tb3Haaaf94tkhhxwSd9xxR7Ro0SILyQAAqK4UoQAAIA3WFRbFTpe/GD+uXJtytm7N3Lhr0M6x3RYNo0ZOImrn5WYgIQAAAKTfySefHE899VQ899xzERFRt27duP766+O4446LRCKR5XQAAFQ3ilAAALCRVq0tjI4XPlui2SdP3T06b9YgcnL8MhgAAIDKLycnJ+66667YYYcdYquttoqCgoLYZpttsh0LAIBqShEKAAA20rh3vi7R3Fn7bRvbbdGwnNMAAABAZm2++ebx6quvRocOHSIvLy/bcQAAqMZysh0AAAAqu3dmLC7R3Al7tS/nJAAAALDxFi1aFEcccURMnjy5xGu22247JSgAALLOiVAAALARlq9eFy9/urDYmV22bBIPnNArQ4kAAACg7J5++ukYMmRILFiwIKZNmxaTJk2KOnXqZDsWAACUiBOhAACgDL75fkXc8fqM6HLRc8XOPXxSbyUoAAAAKrwVK1bEKaecEv369YsFCxZERMT06dPj3HPPzXIyAAAoOSdCAQBAKU2YsTgG3/N+rFhTWOzcaftuEzu1bZyhVAAAAFA2H3zwQeTn58enn376i2c33nhjHHjggbH//vtnIRkAAJSOE6EAAKAUlqxYE38c/W7KElRERKM6eRlIBAAAAGVTWFgYI0eOjJ49e/5qCeo/Bg8eHIsWLcpgMgAAKBsnQgEAQAnc+caMuPyp6aVa06t903JKAwAAABvn66+/jgEDBsQbb7yRcrZFixbx448/RvPmzTOQDAAAys6JUAAAkMLp908udQnq7L7bRqfNGpRTIgAAACibZDIZBQUFscMOO6QsQSUSiTj77LPjvffei6233jpDCQEAoOycCAUAAMX4bP7SeOzDuaVaM35oz9h9m2bllAgAAADK5ocffohhw4bF/fffn3K2VatWMWbMmOjTp08GkgEAQHooQgEAQDHe+eq7Es+OOKBj/L77FtFik9rlmAgAAABK75VXXomBAwfGt99+m3L2yCOPjNtuuy0aN26cgWQAAJA+ilAAAFCM5WsKSzT34Im9Yud2Tco5DQAAAJTO6tWr44ILLojrrrsukslksbMNGjSIm2++OfLz8yORSGQoIQAApI8iFAAAbKRHT94turVulO0YAAAAsJ5p06ZFfn5+fPTRRyln99hjjxg7dmy0a9eu/IMBAEA5UYQCAIBi3PTylxt89tFFfaNhnbwMpgEAAIDUioqK4qabborhw4fH6tWri52tUaNGXHbZZXHOOedEbm5uhhICAED5UIQCAIANeOvL72Ll2l9/NV73No2UoAAAAKhw5s6dG4MHD47nn38+5WzHjh2joKAgunfvnoFkAABQ/nKyHQAAACqihT+tivw7J2zwec0a/ikNAABAxZJMJuOAAw4oUQlq2LBhMWnSJCUoAACqFH+9AQCA//LN9ytilytfKnamR9smGUoDAAAAJZNIJOLaa68tdqZFixbx1FNPxc033xx169bNUDIAAMgMRSgAAPgvlz35ScqZAb3aZiAJAAAAlM5+++0Xf/7zn3/12SGHHBJTp06NAw88MLOhAAAgQxShAADg/3jhkwXx/CcLip352+E7RMsGtTOUCAAAAErnqquuii5duvx8Xbdu3Rg9enQ8+uij0aJFiywmAwCA8qUIBQAA/2vS1z/ESeMnFTuzVbN6ceTOrTOUCAAAAEqvdu3aUVBQEDVr1oxddtklPvzww/jTn/4UiUQi29EAAKBc1ch2AAAAqAiSyWSc9cCHsa4oWezc82fsmaFEAAAAUHZdu3aNl19+OXbZZZfIy8vLdhwAAMgIJ0IBAFDtJZPJuPCxj2PW4hXFzj335z2jRq5/QgMAAJB5ixYtioEDB8acOXNKvGa33XZTggIAoFpxIhQAANXep/OXxvh3Zxc7s1WzerFty/oZSgQAAAD/39NPPx1DhgyJBQsWxPz58+PZZ5+NnBxf1AEAgP/mX8kAAFR71z3/ecqZsUN3iUQikYE0AAAA8D9WrFgRJ598cvTr1y8WLFgQEREvvPBCjBo1KsvJAACgYlKEAgCgWnvxkwXx4vQFxc6MGbJLtGpcN0OJAAAAIOKDDz6InXbaKW655ZZfPBsxYkRMnTo1C6kAAKBiU4QCAKDaSiaTcdzYicXO/LZLy+jdvmmGEgEAAFDdFRYWxsiRI6Nnz57x6aef/urM6tWrIz8/P1atWpXhdAAAULHVyHYAAADIhmQyGZ3/+lzKuZuO6R55ub4/AAAAQPmbNWtWDBw4MN54442Us4lEIhYtWhStW7fOQDIAAKgc/EUHAIBq6c43ZsbKtYXFztw+YCclKAAAAMpdMpmM8ePHR9euXVOWoBKJRJx99tnx3nvvKUEBAMB/cSIUAADVTjKZjCuenl7szOHdW8Vvu2yaoUQAAABUVz/88EMMGzYs7r///pSzrVq1ijFjxkSfPn0ykAwAACofRSgAAKqdg258M+XMdUd2zUASAAAAqrNXXnklBg4cGN9++23K2SOPPDJuu+22aNy4cQaSAQBA5eQ9HwAAVCsnjpsU0+b+VOzMk6funqE0AAAAVEerV6+Oc845J/bdd9+UJagGDRrEuHHj4v7771eCAgCAFJwIBQBAtTHm7Vnx7LT5xc6MHrBTbLdFwwwlAgAAoLqZNm1aHHPMMTFlypSUs3vssUeMHTs22rVrV/7BAACgCnAiFAAA1cLYd2bFRY9PSzm3X+eWGUgDAABAdVNUVBSjRo2KnXbaKWUJqkaNGnHVVVfFK6+8ogQFAACl4EQoAACqvE/m/hR/fSx1CeqN4ftEIpHIQCIAAACqk7lz58bgwYPj+eefTznboUOHKCgoiJ122ikDyQAAoGpRhAIAoEpaV1gU7838PiZ+/UP8/YXPU87/89ge0bpJ3QwkAwAAoDpZs2ZN9OrVK2bPnp1ydtiwYXHNNddE3bp+PgUAgLJQhAIAoMpZW1gUp98/OZ6eOr9E8yfsuVXs28kr8QAAAEi/mjVrxgUXXBDHH3/8BmdatGgRd911V/Tr1y+DyQAAoOrJyXYAAABIt6emzCtxCarjppvEiXu1L+dEAAAAVGfHHXdcHHLIIb/67OCDD46pU6cqQQEAQBooQgEAUOVMmLm4RHPbtKgf9x+/azSuV7OcEwEAAFCdJRKJuPPOO6Nly/9/GnHdunXj9ttvj8ceeyxatGiRxXQAAFB1KEIBAFDlLF9dWKK5F87cKxrVVYICAACg/DVv3jzuuuuuiIjYeeedY/LkyXH88cdHIpHIcjIAAKg6amQ7AAAApMPsxSviuWnz44uFS+Pxj+YWO5uTiLj+qB0zlAwAAAD+x4EHHhiPP/547L///pGXl5ftOAAAUOUoQgEAUOld/Pi0uOftWSWaze/ZJvrtsFn0bt+sfEMBAABQ5S1atCguvfTSGDlyZNSrV69Eaw4++OByTgUAANWXIhQAAJXWoqWr494Js0tcgjp6l9Zxxe+2L99QAAAAVAvPPPNMDB48OBYsWBBr1qyJ22+/PduRAACg2lOEAgCg0pmxaFmccu/k+GTeT6Va1755/XJKBAAAQHWxYsWKGD58eNx8880/3xs9enT069cvDjnkkCwmAwAAcrIdAAAASmPNuqI45o4JpS5BRUT07bxpOSQCAACguvjggw+iR48e65Wg/mPo0KExf/78LKQCAAD+QxEKAIBK5bbXvor5P60q9bp7Bu8cbZrWLYdEAAAAVHWFhYVx9dVXx6677hrTp0//1Znvvvsuhg4dGslkMsPpAACA//BqPAAAKoWVawqj01+fLdWaw7u3im5tGsUhO2weDevmlVMyAAAAqrKvv/46Bg4cGK+//nrK2W+++SYWL14czZo1y0AyAADgvylCAQBQ4S1aujp2vuLFEs+3blInXj5r78jLdQAqAAAAZVdQUBDDhg2Ln35K/Xr2s88+Oy6//PKoVatWBpIBAAC/RhEKAIAKq6goGUPHvB+vfLaoRPN5uYno0bZJXHPEDkpQAAAAlNkPP/wQJ598ctx3330pZ7fYYosYO3Zs9OnTJwPJAACA4ihCAQBQIRUVJePAUW/Ep/OXlmh+v84tY9RRO0admrnlnAwAAICq7JVXXoljjz02vvnmm5SzRx55ZNx6663RpEmTDCQDAABS8TV5AAAqpI/n/ljiEtRWzerF5YdtpwQFAABAma1evTqGDx8e++67b8oSVIMGDWLcuHFx//33K0EBAEAF4kQoAAAqpCueml6iuZG/3z4O2H6zaFgnr5wTAQAAUFVNmzYt8vPz46OPPko5u8cee8TYsWOjXbt25R8MAAAoFUUoAAAqnMc+nBMTZn6fcu7zyw+ImjUccgoAAEDZFBUVxU033RTDhw+P1atXFztbo0aNuPTSS2P48OGRm+tEYgAAqIgUoQAAqFDm/bgyTr//w2JnftOpRYw8fAclKAAAAMps7ty5MWTIkHjuuedSznbo0CEKCgpip512ykAyAACgrBShAACoUA6/5e1inx+w3aZxa3+/eAYAAKDsfvzxx+jWrVssWrQo5eywYcPimmuuibp162YgGQAAsDF8hR4AgApj1drCmPvjqmJnjty5dYbSAAAAUFU1bNgwhgwZUuxMixYt4sknn4ybb75ZCQoAACoJRSgAACqMlWsKi31+wp5bxT4dWmQoDQAAAFXZpZdeGt26dfvVZwcffHBMnTo1+vXrl9lQAADARlGEAgCgUujdvmmcd2CnbMcAAACgiqhZs2YUFBRE7dq1f75Xt27duP322+Oxxx6LFi18EQcAACobRSgAACqFvx7cOdsRAAAAqGI6d+4c11xzTURE7LzzzjF58uQ4/vjjI5FIZDkZAABQFjWyHQAAAAAAACBbTj755Khfv37k5+dHXl5etuMAAAAbwYlQAABUGDe89EW2IwAAAFDJLVq0KC666KIoLCws0XwikYhBgwYpQQEAQBXgRCgAACqEVz9bGPe8PSvbMQAAAKjEnnnmmRg8eHAsWLAg6tWrF8OHD892JAAAIIOcCAUAQIVw33uzi31eq0ZuhpIAAABQ2axYsSJOOeWUOPDAA2PBggUREXHBBRfEBx98kOVkAABAJilCAQCQdUtWrInnpi0odqZd07oZSgMAAEBl8sEHH0SPHj3i5ptvXu/+2rVrIz8/P1asWJGlZAAAQKYpQgEAkFXPTJ0X3S59odiZ6//YLRKJRIYSAQAAUBkUFhbG1VdfHbvuumtMnz79V2c+/fTTOPfcczOcDAAAyJYa2Q4AAED1tGLNuhh6z8R4Z8biYue6tW4Uh+24RYZSAQAAUBl8/fXXMXDgwHj99ddTzr7++uuxYsWKqFvXScMAAFDVOREKAICs6PzX51KWoCIirvzd9hlIAwAAQGVRUFAQO+ywQ4lKUGeffXa89957SlAAAFBNOBEKAICM+m7Z6jho1Jslnu+46SblmAYAAIDK4ocffoiTTz457rvvvpSzW2yxRYwdOzb69OmTgWQAAEBFoQgFAEBGLFy6Kv7yyMfx4vQFJV7z3vn7Rk5OohxTAQAAUBm88sorceyxx8Y333yTcvbII4+MW2+9NZo0aZKBZAAAQEWiCAUAQLlYW1gUMxYtj7WFRfHH29+J5WsKS7X+9XP2iRab1C6ndAAAAFQGq1evjgsvvDCuvfbaSCaTxc42aNAgbr755sjPz49EwpdqAACgOlKEAgAgrVavK4z8OybExK9/KNP64ft3iGF7b53mVAAAAFQ206ZNi/z8/Pjoo49Szu6+++4xbty4aNeuXfkHAwAAKixFKAAA0mbGomXR57rXyrz+9XP2iTZN66YxEQAAAJVNUVFR3HTTTTF8+PBYvXp1sbM1atSISy+9NIYPHx65ubkZSggAAFRUilAAAGyUoqJkzPtpVfywfE0cdOObZd7nuiO6KkEBAABUc3Pnzo0hQ4bEc889l3K2Q4cOUVBQEDvttFMGkgEAAJWBIhQAAKVWWJSMibO+jyH3vB/L1xRu1F6dNmsQ1/xhh9hui4ZpSgcAAEBl9M0338SOO+4YixcvTjl70kknxbXXXht16/pCDQAA8P8pQgEAUGIr1xTGdc9/Fne+OXOj99qpbeO4Jb97tGxQOw3JAAAAqOxatWoV++yzTzz00EMbnGnRokXcdddd0a9fvwwmAwAAKgtFKAAASiSZTMbx4ybGG198t1H77L51s7hr0M5Rs0ZOmpIBAABQFSQSibjtttvi7bffjrlz5/7i+UEHHRT//Oc/o0WLFllIBwAAVAaKUAAAlMhH3/5Y5hLUpAt+EzVyc6JB7RqRSCTSnAwAAICqomnTpjFmzJjYb7/9fr5Xp06d+Mc//hHHH3+8nykBAIBi+Ro+AADFWrOuKB77cE4cdvNbZVo//dL9o2n9WtGwTp5fWAMAAJDSb37zmzjjjDMiIqJHjx4xefLkOOGEE/xMCQAApOREKAAANuifb86M657/LFasKSz12p3bNY7xx/WMWjVyyyEZAAAAVdmVV14Zbdq0iZNPPjny8vKyHQcAAKgkFKEAAPhVt732VYx85tMSzw/bu338cefWUSM3JzZrUDtycnxTFwAAgP+xaNGieOCBB+Lkk08u0Xzt2rXjz3/+c/mGAgAAqhxFKAAAfmH+j6tKXILasU2j+Pew3co5EQAAAJXVM888E4MHD44FCxZEixYt4ogjjsh2JAAAoIrKyXYAAAAqnhtf/qLEsyP271iOSQAAAKisVqxYEaecckoceOCBsWDBgoiIOOGEE2LOnDlZTgYAAFRVilAAAKznvvdmR8GE2SWaffik3tFzq6blnAgAAIDKZvLkydGjR4+4+eab17v/ww8/xKBBg6KoqChLyQAAgKpMEQoAgJ9Nm/tjnPfI1JRzA3u1jc8vPyB2ats4A6kAAACoLAoLC+Pqq6+Onj17xvTp03915sUXX4xRo0ZlOBkAAFAd1Mh2AAAAKo5+o95MOTPzqgMjkUhkIA0AAACVyddffx0DBw6M119/PeXsvffeG6eeemrk5uZmIBkAAFBdOBEKAICIiHjry+9Szlx0cGclKAAAAH7h3nvvja5du5aoBHXWWWfF66+/rgQFAACknROhAACIiIj8OycU+7xDy03isG5bZCgNAAAAlcGSJUti2LBhcd9996Wc3WKLLWLMmDGx7777ZiAZAABQHSlCAQAQVz49vdjn7ZvXi/uO3zUa16uZoUQAAABUdK+++moMHDgwvvnmm5SzRxxxRNx2223RpEmTDCQDAACqK6/GAwCo5l75bGGMfn1GsTMvnbV3NFGCAgAAICJWr14dw4cPjz59+qQsQW2yySYxduzY+Ne//qUEBQAAlDsnQgEAVHP3vze72Oen77tNhpIAAABQ0X3yySeRn58fH374YcrZ3XffPcaNGxft2rUr91wAAAARToQCAKjWVq4pjOemLSh2RhEKAACAZDIZN954Y+y0004pS1A1atSIK664Il599VUlKAAAIKOcCAUAUI39e/KcYp/fcFS3yMlJZCgNAAAAFdG8efNi8ODB8dxzz6Wc3XbbbaOgoCB69OiRgWQAAADrU4QCAKjG3pu5eIPPerRtHId22yKDaQAAAKhopk2bFnvttVcsXrzhnx//46STToprrrkm6tWrl4FkAAAAv6QIBQBQTSWTyXj0w7kbfH7xIV0ymAYAAICKaNttt4327dsXW4Rq0aJF3HXXXdGvX78MJgMAAPilnGwHAAAgO0Y+82mxzztv1iBDSQAAAKio8vLyYvz48VG3bt1ffX7QQQfF1KlTlaAAAIAKQREKAKCaWbW2MNqNeCpuf33GBmcG9W4XOTmJDKYCAACgotpmm23i+uuvX+9enTp14rbbbovHH388WrRokZ1gAAAA/0URCgCgGigqSsZn85fGB7N/iN4jX04536Nd4wykAgAAoLI47rjj4pBDDomIiB49esTkyZPjhBNOiETCl2gAAICKo0a2AwAAUH6SyWRc/tT0+OebM0u1bp8Ovs0LAADA/5dIJOLOO++M0aNHx/DhwyMvLy/bkQAAAH5BEQoAoApaV1gU7836Po65Y0Kp157dd9uoV8s/EwEAAKq67777Ll555ZU44ogjSjTfvHnzOP/888s5FQAAQNn5CxcAQBWzeNnqyL9zQnw6f2mp1+7SrkkM3m3LckgFAABARfLss8/G4MGDY9GiRdGmTZvo2bNntiMBAABstJxsBwAAIL3++vi0MpWgrv9jtxgzZBenQQEAAFRhK1eujFNPPTUOOOCAmD9/fhQWFkb//v1j2bJl2Y4GAACw0RShAACqkGQyGU9NmVfqdYN3axeH7bhF1KmZWw6pAAAAqAgmT54cO+20U9x0003r3f/yyy/jjDPOyFIqAACA9FGEAgCo5NYVFsV3y1bHzO+Wx4Gj3izV2s0a1o4T9twqLujXuZzSAQAAkG2FhYVx9dVXR8+ePWP69Om/OnPnnXfGo48+mtlgAAAAaea9JwAAldSSFWviN39/Pb5btrpU6945r080rlszIiJq1ciJRCJRHvEAAACoAGbPnh0DBw6M1157LeXsjTfeGIceeqifEwEAgEpLEQoAoJL5bP7SuOzJT+LNL78r1bo/7bFlnO/kJwAAgGrj3nvvjWHDhsWPP/6YcvbMM8+MK664QgkKAACo1BShAAAqiaKiZNz62ldxzXOflWn9Xw7slOZEAAAAVERLliyJYcOGxX333ZdydosttogxY8bEvvvum4FkAAAA5UsRCgCgEigqSsaIR6bEAxO/LdP68UN7+lYvAABANfDqq6/GwIED45tvvkk5e8QRR8Rtt90WTZo0yUAyAACA8peT7QAAAKQ2be5PZS5BjTigY+y+TbM0JwIAAKAiWb16dQwfPjz69OmTsgS1ySabxNixY+Nf//qXEhQAAFClOBEKAKASeGhS6m/y/rcumzeIq36/fezQqlH6AwEAAFBhfPLJJ5Gfnx8ffvhhytndd989xo0bF+3atSv3XAAAAJmmCAUAUMGtKyyKMe98nXJur22bxwX9OkWtGrnRukkdr8IDAACo4pLJZNx0000xfPjwWLVqVbGzNWrUiEsuuSTOPffcyM3NzVBCAACAzFKEAgCo4O58c2axzzepVSPeHNEnGtbJy1AiAAAAsm3evHkxePDgeO6551LObrvttlFQUBA9evTIQDIAAIDsUYQCAKjAnpoyL0Y+8+kGn9fJy43Jf90vauTmZDAVAAAA2TRhwoTo169fLF68OOXsSSedFNdcc03Uq1cvA8kAAACySxEKAKAC+8eLnxf7/Ob8HZWgAAAAqpkOHTpEvXr1ii1CtWjRIu66667o169fBpMBAABkl7+aAQBUUD+tWhtfLlxW7Eyfji0zlAYAAICKolGjRjF27NhIJBK/+vzggw/+f+zdeZyN9f//8eeZhWFmDGbsso4iDbKTbFlTpMWnb/YQJfVRSbJTKiItkl0MbSolJEu2yr6NPca+jsFgxizmXL8//JxPE3POwZzrOjPzuN9uc+uc6/061zzn1h845znvt6KioihBAQAAAMh2KEIBAAB4qdRUw+n609WKm5QEAAAAAOBtGjRooP79+6e5litXLn3xxRf66aefVLBgQYuSAQAAAIB1KEIBAABkUm80u8/qCAAAAAAACw0fPlwPPvigJKl69eraunWrevbsme5OUQAAAACQ1flZHQAAAAC3diEhOd2173rVUeGQABPTAAAAAAC8TY4cOTRnzhx99dVXGjx4sPz9/a2OBAAAAACWYkcoAAAAL3T2UqIaj12V7npwAH12AAAAAMiKzp07p5UrV7o9X6FCBY0YMYISFAAAAACIIhQAAIDXMQxDNUcttzoGAAAAAMBkv/76qyIiItSmTRsdPnzY6jgAAAAAkOlQhAIAAPAiu09eUukBi1zO5fDlr3EAAAAAkFVcvXpVffr0UcuWLXX69GldunRJnTp1UmpqqtXRAAAAACBTyZRnqsTExGjNmjXas2ePzp8/r7i4ONntdr355psqX7681fEAAABum91u6IMlezVpVbTL2bCgHCoVGmhCKgAAAACAp23dulXt27fXnj170lxfs2aNxowZo7feesuiZAAAAACQ+WSqItRPP/2ksWPH6o8//rjleocOHW5ZhHrrrbe0YcMGSVLJkiU1Y8YMj+YEAAC4XU9/8ae2HL3o1uygVvfLx8fm2UAAAAAAAI9KTU3Vhx9+qMGDByslJeWWM4MHD1azZs1UtWpVk9MBAAAAQOaUKYpQsbGx6tKlixYtun5MjGEYkiSbzZbmcXpq166t0aNHO+beeOMNVaxY0cOpAQAA3PPrztNul6C+7VlHNUvn92wgAAAAAIBHHT16VJ06ddKqVauczl27dk2jRo3SvHnzTEoGAAAAAJmbj9UBXDl37pzq1KmjRYsWOUpPNxiG4bQAdUObNm10zz33OJ7PnTs3w3MCAADcqVe+2urW3OJXH6YEBQAAAACZ3Ny5c1WpUiWXJShJ6tu3ryIjI01IBQAAAABZg1cXoQzDUOvWrXXgwAHHtaCgIPXt21eLFy/Wzp07bypH3YrNZtNTTz3leL5kyRKP5AUAALhdJy9eVXKq3eXcd73qqEKRPCYkAgAAAAB4wsWLF/Xcc8+pffv2iouLczpbtGhRLV26VOPGjVNAQIBJCQEAAAAg8/Pqo/FmzZqldevWOXZ9qlu3rr7//nsVKlQozZw7u0K1atVK48ePl2EY2rZtmy5fvqzg4GCP5AYAAHDH5NUHNWrRXqczjcsX1OSO1eTn69X9dQAAAACAEytXrlSnTp107Ngxl7NPP/20Jk2apPz52REYAAAAAG6XVxehRo8eLen6zlDh4eFatGiR8uS5s50QqlWr5nhsGIZ2796tWrVqZUhOAACA2xFzOUk13l3mcu6lhmX1ZovyJiQCAAAAAHhCUlKShgwZojFjxrg83SA4OFifffaZOnbs6NYv/wIAAAAAbua1RajDhw9rz549jn/wjRo16o5LUJKUN29eFSlSRKdOnZIk7d+/nyIUAAAwVdzVFL08d4vW/H3Orfk2VYp5OBEAAAAAwFN2796t9u3ba9u2bS5nH3roIc2ePVulS5f2fDAAAAAAyMK89oyVDRs2SLq+e1NAQIBat2591/f851bCFy5cuOv7AQAAuGvhjlOqPPw3t0tQeXP7K7xgkIdTAQAAAAAymmEY+vTTT1WtWjWXJSg/Pz+98847WrlyJSUoAAAAAMgAXrsj1NmzZyVJNptNZcqUUY4cOe76nkFB//swMT4+/q7vBwAA4I5fd55W77lbbus1w1tXlK8PRyEAAAAAQGZy6tQpde3aVUuWLHE5e++99yoyMlI1atQwIRkAAAAAZA9eW4S6cuWK4/E/C0x34/Lly47HgYGBGXJPAAAAZ1Lthl7/dpvb8+UKBmlsu8qqVDyvxzIBAAAAADLeypUr9fTTTys2NtblbK9evfThhx/yPjUAAAAAZDCvLUKFhoY6Hp8/fz5D7nnixAnH47CwsAy5JwAAQHqupdr1ytdbFZ+c6tb8mjcb6Z78uT2cCgAAAADgCaVKlVJycrLTmQIFCmjatGl6/PHHTUoFAAAAANmLj9UB0lO4cGFJ189TP3TokBISEu7qfjt27FBcXJzjOeetAwAAT+v77XYtijrtcu6pqsV1cNSjlKAAAAAAIBMrVaqUJkyYkO56q1atFBUVRQkKAAAAADzIa4tQtWvXls1mk81mU2pqqhYuXHhX95sxY4bjcWBgoGrWrHm3EQEAANJ1JDZeC7afdDm3cWATjW1XWb4+NhNSAQAAAAA8qUOHDmrXrl2aa7ly5dLEiRO1YMECFSpUyKJkAAAAAJA9eG0RqkCBAqpWrZoMw5AkjRo1Sqmp7h0r82/79u3TlClTHMWqxo0by9fXNyPjAgAASJKuJqdq+7GLajBmpcvZNW82UoHgnJ4PBQAAAAAwhc1m08SJE1WsWDFJUrVq1bR161b16tVLNhu/AAMAAAAAnuZndQBnXn75ZXXp0kXS9aPt+vTpo88///y27nH8+HE98cQTjqP1bDab+vXrl9FRAQBANmW3G1q1P0Z/HjynKWsOuf26dtWLcxQeAAAAAGRB+fPn15dffqkVK1Zo6NChypEjh9WRAAAAACDb8NodoSSpY8eOqlSpkiTJMAxNmjRJjz/+uP7++2+Xr01OTtakSZNUvXp17d+/37EbVPPmzfXQQw95OjoAAMgG4hJSVObtReo6c+NtlaB6Nyqr95+s5MFkAAAAAICMdO7cOe3YscPt+UceeUTvvvsuJSgAAAAAMJlX7whls9n03Xff6aGHHlJsbKwkadGiRVq0aJFq1qyp6tWrS7pekrLZbJo+fbp++OEHHThwQH/++afi4+Mda4ZhqESJEpo9e7aVPxIAAMgikq/ZVXnEb7f9unvy51K/5uU9kAgAAAAA4AlLlixRly5dlDNnTm3fvl0hISFWRwIAAAAApMOri1CSVK5cOS1YsEBt2rTR2bNnHaWmDRs2aMOGDY45wzD01VdfpXkuyTF/zz336JdfflFoaKjpPwMAAMg6LiWmqOm4VTpzKemOXt+9XpkMTgQAAAAA8ISrV6+qf//++vTTTx3XXnnlFX355ZcWpgIAAAAAOOPVR+PdUKtWLW3fvl3Nmzd3FJxuuHHknc1mu+m6dL0Q1bx5c23atEkPPPCAaZkBAEDWcz4+WZWG/XbHJagWFQvruVolMjgVAAAAACCjbdu2TdWqVUtTgpKkWbNm6dtvv7UoFQAAAADAlUxRhJKkQoUKafHixfrrr7/Url075cmTR4ZhpPuVK1cuPfbYY1q1apUWL16sAgUKWP0jAACATO6LVQfv6HUFg3Pqlz719Hn7qvL3zTR//QIAAACAbCc1NVVjxoxRzZo1tWfPnlvO9OrVS8ePHzc5GQAAAADAHV5/NN6/1apVS19//bUMw1BUVJT27Nmj2NhYXbx4Ublz51ZYWJhKly6tmjVryt/f3+q4AAAgC5m8Otqtuf9Uv0d1w0PV7P7CCvD3uWnnSgAAAACA9zl69Kg6d+6slStXOp27cOGC3nnnHX3xxRfmBAMAAAAAuC3TFaFusNlsqlSpkipVqmR1FAAAkA1sPnLerblNg5ooLCinh9MAAAAAADLSV199pRdffFFxcXEuZ/v27atRo0aZkAoAAAAAcLsybREKAADALH8cOKf2U9c7nbknfy4teuVhBQewIyUAAAAAZBYXL15U7969NXfuXJezRYsW1ZdffqkmTZqYkAwAAAAAcCe8ugi1evVqx+PKlSsrJCTkju8VFxen7du3O57Xr1//rrIBAIDsYeLKg/rg171OZyZ3rKZmFQublAgAAAAAkBFWrVqlTp066ejRoy5nn376aU2aNEn58+c3IRkAAAAA4E55dRGqYcOGstlskqSlS5eqcePGd3yvTZs2qVmzZpKuH6t37dq1DMkIAACyrriEFI1Z4rwEJUl1w8NMSAMAAAAAyAjJyckaMmSIRo8eLcMwnM4GBwfrs88+U8eOHR3vVQMAAAAAvJdXF6EkyTCMDPsHpqt/1AIAAPzTlmMXZHfx14euD5VSUE6v/ysVAAAAAEDS7t271b59e23bts3l7EMPPaTZs2erdOnSng8GAAAAAMgQPlYHcIXfsgEAAFZJSrG7nHmxYVkTkgAAAAAA7oZhGPrss89UrVo1lyUoPz8/vfPOO1q5ciUlKAAAAADIZLLl9gWUqwAAgDs2HDrvdP3Hl+qqYHCASWkAAAAAAHfi9OnT6tq1q3799VeXs/fee68iIyNVo0YNE5IBAAAAADJatilCxcfHOx7nypXLwiTOHTx4UBs2bNDx48eVnJysfPnyqXz58qpbt64CAqz/oDU1NVWbN2/W7t27dfbsWaWkpCgoKEjFixdXhQoVVL58efn4eP1GYwAAOGUYhpqPX639Z66kO7NreHMFciQeAAAAAHi1JUuWqEOHDjp37pzL2V69eunDDz9UYGCgCckAAAAAAJ6QbT6927t3r+Nx3rx5rQuSjvnz52vkyJHasmXLLdeDgoLUpUsXDR06VGFhYSankw4dOqQxY8boq6++0sWLF9Ody5Mnjxo1aqQXXnhBjz76qHkBAQDIQFPWRDstQeUJ8KMEBQAAAACZQEhIiC5cuOB0pkCBApo2bZoef/xxk1IBAAAAADwlW2zdExcXp+nTp0u6fixe+fLlLU70P0lJSerQoYPatm2bbglKkq5cuaLPPvtM999/v1avXm1aPrvdrvfee08VKlTQxIkTnZagJOnSpUv66aefNGvWLHMCAgDgAZ+tOOB0nRIUAAAAAGQOtWvX1qBBg9Jdb9WqlaKioihBAQAAAEAWYfmneCNGjHBrbtasWVq7dq3b9zUMQwkJCTp06JCWL1+epsBTr169243pEXa7Xf/5z3/0008/pbnu6+urEiVKKCQkRIcOHVJcXJxjLSYmRi1bttSyZctUp04dj+ZLSUlR+/bt9d133920FhISoiJFiihPnjy6fPmyjhw5ooSEBI/mAQDADCcvXtWlxGtOZ2qVzm9SGgAAAADA3Ro0aJB+/fVXrV+/3nEtV65cGjdunHr27CmbzWZhOgAAAABARrK8CDVs2DCn/9A0DEOSNHv27Dv+HoZhOL6Hv7+/OnXqdMf3ykhjxoy5qQTVq1cvDR48WEWLFpV0vSz1008/6b///a+OHj0qSUpISFC7du20c+dOhYSEeCxft27d0pSg/Pz81LNnT3Xu3FnVq1dP8//Nbrdr//79WrJkib799lvePAAAZFoz/jjkdL1E/tzq18J7dpcEAAAAADjn5+enyMhIValSRfHx8apWrZrmzJmj++67z+poAAAAAIAMZnkRygw2m81Rhho7dqxKly5tdSTFxsbq3XffTXPtvffe01tvvZXmmo+Pj9q2bauaNWuqXr16Onz4sCTp+PHjGjdunIYPH+6RfJGRkWnKZ0WLFtXixYtVqVKlW877+PiofPnyKl++vF599VVduHDBI7kAAPC0zUfS/zOsecVCGv1UZYXk9jcxEQAAAADgboWHh+uTTz7RwYMHNXToUOXIkcPqSAAAAAAAD7AZN7ZcsoiPj4/Hv0dQUJAeeeQR9e3bV/Xr1/f493NH//79NXr0aMfz+vXra+XKlU53Ulq+fLmaNGnieB4cHKxDhw4pNDQ0Q7OdO3dOFSpU0Llz5yRdPwZv06ZNCg8Pz9Dv40m7du3SAw884Hi+c+dOVaxY0cJEAABvlpB8TSN/2a0Ve8/qzKWkdOd2DGumPAGUoAAAAADAG5w7d04JCQkqUaKE1VEAAAAAAP+f1X0Ny3eE+v3332953TAMNW7c2FEMGjNmjKpVq+b2fX18fBQYGKj8+fOrZMmSXnVUm91u14wZM9Jcc3VEoCQ98sgjevjhh7VmzRpJ0uXLl/Xtt9/qxRdfzNB87777rqMEJUmjRo3KVCUoAABuV5fpG7Xh8HmnM8Xy5qIEBQAAAABeYsmSJerSpYtKlSqlNWvWyM/P8re6AQAAAABewPJ/HTZo0MCtuSpVqrg96+3+/PNPxcTEOJ6XKVNGDRs2dOu13bp1cxShJGn+/PkZWoRKSkrSrFmzHM8LFy6snj17Ztj9AQDwJimpdnWevsFlCUqSutQt5flAAAAAAACnrl69qv79++vTTz+VJJ0+fVqjRo3SkCFDLE4GAAAAAPAGnj+X7i4ZhiGLT+/LcAsXLkzzvGnTpm7vWNW0adM0z1euXKn4+PgMy/bjjz/q/Pn/fRj87LPPytfXN8PuDwCAN+n7zTb9eTDWrdmCeXJ6OA0AAAAAwJmtW7eqWrVqjhLUDSNGjNC6dessSgUAAAAA8CZeXYSy2+2Or8aNG1sdJ8Ns27YtzfO6deu6/dqiRYuqVKlSjufJycnavXt3BiW7uaTVqFGjDLs3AADewm43NGh+lH7Zccqt+Zx+PnooPMzDqQAAAAAAt5KamqrRo0erVq1a2rNnzy3XO3TooCtXrliQDgAAAADgTby6CJVV/fsf6/fff/9tvf7f87f6x/+d2rhxY5rnlStXlnT9zYTFixfr2Wef1X333afAwEDlzZtX5cqVU7t27TRjxgwlJCRkWA4AADzp643HFLnuqFuzeQL8NLVzdYUFsSMUAAAAAJjt6NGjatKkifr376+UlJR05w4ePKgxY8aYmAwAAAAA4I38rA6Q3Vy9elVHj6b94PWee+65rXv8e37fvn13nUuS4uLitH//fsdzX19flSxZUtHR0erQoYP++uuvW77mwIED+u677zRo0CC9//776tixY4bkAQDAU37fd9blTO0y+TWgZQVVLJpHfr50xwEAAADAbF999ZVefPFFxcXFuZzt27evBgwYYEIqAAAAAIA3owhlsnPnzskwDMdzf39/FSxY8LbuUaxYsTTPz551/WGuO6Kjo9NkCw4O1u7du1W3bl233mw4efKkOnXqpF27dun999/PkEzS9Z8vJibmtl5z4MCBDPv+AICsZ+nuM07XO9YuqRFtKspms5mUCAAAAABww8WLF9W7d2/NnTvX5WzRokX15ZdfqkmTJiYkAwAAAAB4u0xdhEpKStLFixeVlJR0268tUaKEBxK59u9z6nPnzn3bH7IGBgY6veedunjxYprnNptNjz32mKMElTt3bj333HOqX7++QkNDFRsbq1WrVmnu3Lm6evWq43UffPCBihUrpj59+mRIrs8//1zDhw/PkHsBALA+OtbpetsHi2nkEw+YlAYAAAAA8E+rVq1Sx44ddezYMZezTz31lCZNmqTQ0FATkgEAAAAAMoNMVYTau3evZs6cqT///FNbt25VQkLCHd3HZrPp2rVrGZzOPf8uLQUEBNz2PXLlyuX0nnfq30WoCxcu6MKFC5KkatWq6YcffripQNaxY0cNGjRIbdq00Y4dOxzX+/Xrp+bNm+vee+/NkGwAAGSElFS7/jN5ndOZ0U9XMikNAAAAAOCG5ORkDRkyRKNHj06za/2tBAUF6bPPPlOnTp3YyRcAAAAAkEamKEKdO3dOPXr00M8//+y45uofw94qMTExzfMcOXLc9j1y5syZ5vk/d2O6G+kVqooXL66lS5cqX758t1wvVaqUli9froiICJ0+fVrS9d26PvzwQ02ePDlDsgEAcLcMw1CTcauczkzqWE3+vj4mJQIAAAAASNLu3bvVvn17bdu2zeVs3bp1NXv2bJUpU8bzwQAAAAAAmY7XF6EOHjyo+vXr6/Tp0zIMQzabzVGC+udv+/yzGHWr3wLyluLUv3eASk5Ovu17/PsowDvZVepW0rvPmDFj0i1B3RAWFqb3339fXbp0cVybPXu2Pv7445t2sLpdL730kp555pnbes2BAwf0xBNP3NX3BQBkLQfOXtGRWOe7SdYty3EKAAAAAGAWwzA0YcIE9evX76ZfIP03Pz8/DRs2TP3795efn9e/rQ0AAAAAsIhX/4sxMTFRbdq00alTpxzlJpvNplq1aql06dL66quvHNeaNWum/Pnz6/z589q1a5dOnDjhWJOk8uXLq1atWtb8IP8QFBSU5rmrf+Dfyr93gPr3Pe/Ure6TP39+PfXUU269/j//+Y9effVVxcXFSbr+s23YsEENGjS4q1wFCxZUwYIF7+oeAABsO3bR6fqLDcsqOMDfnDAAAAAAkM2dOnVKzz//vH799VeXs+XKldOcOXNUo0YNE5IBAAAAADIzrz77ZcqUKdq9e7ejzFStWjXt3btXf/75p+bMmSPpf0WnN998U3PnztWvv/6qY8eOad++fXrllVfk5+cnwzC0f/9+FS9eXDNmzNCMGTMs+5n+XTZKSEi47d2q4uPjnd7zTt3qPnXq1JG/v3sfCjMoM4kAAQAASURBVAcEBKhmzZpprm3atClDsgEAcDfiElK0YMcppzPd65U2KQ0AAAAAZG+//PKLKlWq5FYJqmfPntq6dSslKAAAAACAW7y6CPXxxx87jsIrWrSoli1bpvDwcLdeW65cOY0fP17r169XiRIlZLfbNWrUKL355pseTu1cWFhYmqP7UlJSdPbs2du6x43drm7IqN2SChUqdNO1e++997bucd9996V5frs/GwAAGSnqeJzafLZWlUf8ptX7Y9KdW9WvoUKDcpqYDAAAAACyr4SEBJ07d87pTIECBfTzzz/riy++UGBgoEnJAAAAAACZndcWoY4eParo6GhJ13d9Gjx4sEJCQm77PlWqVNGyZcsUEhIiwzA0duxYLV++PKPjui1XrlwqUaJEmmtHjx69rXv8e758+fJ3nUuSypYtqxw5cqS5lidPntu6x7/nL1y4cNe5AAC4E3tPX9JzU9Zp+/E4p3PF8uZSyVDeVAcAAAAAs7Rr104dO3ZMd71Vq1aKiorS448/bmIqAAAAAEBW4LVFqI0bN0qS49i4Z555xum8s+PlwsPDNWjQIMfzoUOHZkDCO/fv4tLu3btv6/V79uxxer875evre9MOUElJSbd1j8TExDTPc+fOfde5AAC4E/M2HdflpGsu53L6ee1fhwAAAAAgy/r0009VsmTJNNdy5cqlzz//XAsWLLjl7vUAAAAAALjitZ/8/fNItXvuuUf58uVzOn/16lWn6126dJGvr68Mw9Bff/2l48ePZ0jOO1GlSpU0z//880+3X3vq1CkdPnzY8dzf31/3339/BiWTqlatmub5mTNnbuv1/z4KLzQ09K4zAQBwJ3advOTWXJUSeT0bBAAAAABwk5CQEM2ePVs2m03S9fclt2zZohdffNFxDQAAAACA2+W1RaiLFy9Kun4sXoECBW45ExAQ4HgcHx/v9H6hoaEqXbq04/m6devuPuQdeuyxx9I8X7ZsmdMdrf7pt99+S/O8UaNGCgoKyrBsrVu3TvN88+bNt/X6f8/fd999d50JAIA7Ycj1n615AvzUrV5pl3MAAAAAgIz38MMPa+DAgRowYID++uuvDNv5HgAAAACQfXltESpHjhyOx35+frecyZMnj6NAdOLECZf3/OfuRMeOHbvLhHeubt26CgsLczyPjo7WypUr3XrttGnT0jxv06ZNRkZTixYt0hTMduzYob///tut1+7ateumY/saNmyYkfEAAMgQQTn91L1eaX3Xq64qFg2xOg4AAAAAZBmxsbG6cOGC2/MjR47UqFGj0rwfDAAAAADAnfLaItQ/j8KLi4u75UzBggUdj/ft2+fynjd2mZJcH6XnST4+PurSpUuaa8OHD3e5K9Ty5cu1Zs0ax/Pg4GC1a9cuQ7MFBgaqQ4cOaa698847br12xIgRaZ43aNAgzf8jAAC8Qc/6ZbRzeHMNeux+3Vc42Oo4AAAAAJBl/Pbbb4qIiFCvXr3c3gEfAAAAAICM5LVFqBtHqhmGoZMnT95yplKlSo6ZVatWOb1fTEyM/v77b8f58iEh1u7+0L9//zRH2q1atUoffPBBuvMnTpxQ9+7d01x79dVX0+wsdSs2my3Nlzs7Tw0dOjTNrlCzZs3S9OnTnb7m888/17fffpvm2oABA1x+LwAAPGVd9PlbXs/p72tyEgAAAADI2q5evapXX31VzZs316lTp/Ttt99qzpw5VscCAAAAAGRDXluEeuCBBxylpcuXL+v48eM3zdSuXdvx+O+//9bSpUvTvd/o0aNlt9sdv4kUHh6ewYlvT1hYmN5+++001wYMGKCXXnopTfHLbrdr/vz5qlu3rg4fPuy4XrRoUb3++useyVa8eHH1798/zbXu3bvr5ZdfvulIwaNHj+rFF1/Uyy+/nOb6//3f/6l58+YeyQcAgCu7T16yOgIAAAAAZAvbtm1T9erV9cknn6S53rt37zTvZwIAAAAAYAavLUKFhISocuXKjue32vGpXbt28vX1lc1mk2EY6ty5szZs2JBmxm63a8yYMRo3bpyjWBUQEKCHH37Ysz+AG/r376/HHnsszbWJEyeqRIkSKlu2rKpWrarQ0FC1bdtWR48edczkypVL3377rfLmzeuxbIMHD06TzTAMTZgwQSVLllTZsmVVs2ZNlS1bViVLltQXX3yRZqvrqlWravLkyR7LBgCAK7/uPGV1BAAAAADI0m6871qzZk3t3r37pvVLly6pU6dOSk1NtSAdAAAAACC78toilCQ1a9bM8XjhwoU3rRcsWFAdO3aUYRiy2Ww6ffq06tSpo2rVqum5557T008/rRIlSuitt96SYRiOue7duyt37txm/ii35OPjo++++07PPvtsmuupqamKjo7W1q1bdfHixTRroaGhWrRokR566CGPZvP19dW8efPUuXPnNNcNw1B0dLQ2btyo6Ojom17XunVrrVq1Ks2xfwAAeFrStVT9eeCcJq06qMHzd+qTFQfSnS0Vav3fAQAAAAAgMzt27JgeeeQRvfnmm0pJSUl3bs2aNZoyZYqJyQAAAAAA2Z1XF6FuFIQMw9D8+fN17ty5m2bGjBmjYsWKSZJjZ6itW7fqm2++0Y8//qiTJ086ClCSVK5cOb3zzjvm/RAuBAQE6KuvvtK8efNUpUqVdOcCAwP10ksvaffu3WrYsKEp2XLmzKmZM2dq8eLFTotXNptNtWrV0oIFC/TTTz9RggIAmOpyYoqenbxOz01dr/cW79XsdUecztcrF2ZSMgAAAADIer7++mtVqlRJK1eudDnbt29fdenSxeOZAAAAAAC4wc/qAM5UqVJFn376qRITEyVJMTExCgtL++FlaGioVq5cqUcffVR///23o/B0w41ylGEYqlKlin766ScFBweb9jO466mnntJTTz2lAwcOaP369Tpx4oSSk5OVN29eVahQQQ899JACAgJu+77/PLLuTrVo0UItWrTQiRMn9Ndff+nIkSNKTExUvnz5VKRIET300EMqWLDgXX8fAADuxITfD2rr0YtuzVYqHqKCwbf/5ykAAAAAZHcXL17Uyy+/rDlz5ricLVq0qL788ks1adLEhGQAAAAAAPyPVxehJKl3794uZ8qWLaudO3dq4sSJ+uabb7Rx40Zdu3ZNkuTn56datWqpU6dO6tq1q/z8vPtHDg8PV3h4uNUxbqlYsWJ6+umnrY4BAEAafx28ecfI9HSrV9qDSQAAAAAga1q1apU6deqko0ePupx9+umnNWnSJOXPn9+EZAAAAAAApOXdraDb4O/vr1deeUWvvPKKDMNQbGysDMNQaGiofHy8+gRAAABwF/acuuz2bMsHingwCQAAAABkLcnJyRoyZIhGjx7tcuf5oKAgffbZZ+rUqdNNu/YDAAAAAGCWLFOE+iebzXbTEXoAACDrOXHxqpJT7S7ncvn7avvQZsrhRzkaAAAAANyxZ88etW/fXlu3bnU5W7duXc2ePVtlypQxIRkAAAAAAOnLkkUoAACQPczbdNzpeu0y+dW/RXk9WCKfSYkAAAAAIHMzDEOff/653njjDSUmJjqd9fPz07Bhw9S/f3/5+fFWMwAAAADAetluW4Sff/5ZNWvWtDoGAADIANuPX0x37eNnq+jrF+pQggIAAAAAN50+fVqtWrXSyy+/7LIEde+99+rPP//UwIEDKUEBAAAAALxGtilC/fjjj6pWrZratm2rzZs3Wx0HAABkgFS7ke5anTKhJiYBAAAAgMzt559/VkREhBYvXuxytmfPntqyZYtq1KhhQjIAAAAAANyX5X9V57vvvtM777yjnTt3Srq+tbPNZrM4FQAAyAgnLl695fWQXP4qmCfA5DQAAAAAkHnt2rVL586dczpToEABTZs2TY8//rhJqQAAAAAAuD1ZckcowzD01Vdf6YEHHtCzzz6rqKgoGUb6O0YAAIDM59yVJB04e+WWa8/WvMfkNAAAAACQub355puqV69euuutWrVSVFQUJSgAAAAAgFfzqiLUiRMnNGrUKD3yyCMqWbKkAgMDFRQUpLJly6pdu3b6/vvvXRaavv76a91///3q0KGDdu/e7dgBymazyTAM+fn5qXPnzib9RAAAwBPOxyer+jvLrI4BAAAAAFmGr6+vZs+ereDg4DTXc+XKpYkTJ2rBggUqVKiQRekAAAAAAHCP1xyNN3jwYI0dO1ZJSUmSlKbwdOjQIR0+fFjff/+9KleurO+++05ly5ZN8/odO3bohRde0MaNGx2vvXEEnmEY8vf3V+fOnfX222+rVKlS5vxQAAAgw11JuqaqI5c6ncmfO4dJaQAAAAAg6yhVqpQmTJigTp06SZKqVq2qOXPmqHz58hYnAwAAAADAPV5RhOrQoYO++uqrNAWmGyWmG26sbdu2TfXq1dOGDRt0zz3Xj72ZOHGi+vbtq5SUFMcOUDdekzNnTj3//PN66623HPMAACDzuZZq14AfovTd5uMuZ+uVCzMhEQAAAABkPR06dNCvv/6qUqVKaejQocqRg180AQAAAABkHpYXoaZNm6a5c+emKT+ld/zdjePtzpw5o549e2rRokUaPXq0BgwYcNMReAEBAerRo4f69++vokWLmvkjAQAAD+g3b4d+3HrC5dz/1SyhikVDTEgEAAAAAJlDbGysgoOD3So12Ww2RUZG3vSLqgAAAAAAZAaWFqGuXbumgQMHpvlHtWEYqlmzppo0aaLixYvLMAwdP35cy5Yt08aNGx1FpyVLlmjatGl6++23HSWoG0fg9ezZUwMHDuTMegAAsgDDMDR8wW63SlBd6pbSsNYVTUgFAAAAAJnDb7/9pi5duqhLly4aNWqUW6+hBAUAAAAAyKwsLUItWLBAZ8+edZSY8uXLp8jISLVs2fKm2XfffVcLFy5Up06ddPHiRRmGoZdeekl2u93x+rp162ratGm67777LPhpAACAJyyMOqWZfx52a3bo4/d7NgwAAAAAZBJXr17VW2+9pU8++USS9P7776tly5Z6+OGHLU4GAAAAAIDn+Fj5zVesWCFJjh2dvvnmm1uWoG5o1aqVvv76a8d8SkqKY61Tp05auXIlJSgAALKY1ftj3Job1TaC31oGAAAAAEnbtm1T9erVHSUo6fp7sB07dlRcXJyFyQAAAAAA8CxLi1CbN2+WdH2r5QYNGqhJkyYuX9O0aVM1bNjQUYaSpEqVKmn69Ony87N0gysAAOABFxJSnK7n9PPRoFYV9FytEiYlAgAAAADvZLfbNWbMGNWsWVO7d+++af3IkSPq06ePBckAAAAAADCHpUWoY8eOOR472wnq327M3ihD9e3bVz4+lv4oAADAQ7Ydu5juWoN7C2jfOy3V/eEy5gUCAAAAAC907NgxPfLII3rzzTfT7KT/b7Nnz9bPP/9sYjIAAAAAAMxj6RZK/9yGOTw83O3XlStXLs3z+vXrZ1gmAABgPcMwNGf9UU1fe0gxl5PSnZvSqbqJqQAAAADAO3399dfq1auXW8fevfrqq2ratKkJqQAAAAAAMJ+lRaj4+HjH8XZ58uRx+3XBwcFpnhctWjRDcwEAAGuNW7pfn6444HSm60OllMOPHSEBAAAAZF8XL17Uyy+/rDlz5ricLVKkiGbOnKlmzZqZkAwAAAAAAGtYWoS6cbSdJMd/70SOHDkyKhIAALBYSqpdk1ZHu5wrljeXCWkAAAAAwDutWrVKnTp10tGjR13OPvnkk5o8ebJCQ0NNSAYAAAAAgHXYRgEAAHiNA2evqNUna5R8ze5ytnH5giYkAgAAAADvkpycrLfeekuNGjVyWYIKCgrSjBkzNG/ePEpQAAAAAIBswdIdoQAAAG44cPaK2k36S+fjk13OtqlSVGUKBJmQCgAAAAC8x549e9S+fXtt3brV5WydOnUUGRmpMmXKmJAMAAAAAADvwI5QAADAK/T5aqtbJaj/VL9HH7Wr4vlAAAAAAOAlDMPQhAkTVLVqVZclKF9fX40YMUKrV6+mBAUAAAAAyHa8ZkeoWbNmae3atW7NRkdHp3k+YsSI2/5+Q4YMue3XAAAAz3h/8V7tOXXJ5dzy1xuoTFigbDabCakAAAAAwHqnT59W165d9euvv7qcDQ8P15w5c1SzZk0TkgEAAAAA4H28oghlGIZmz559x68dPnz4bb+OIhQAAN5h7+lL+mLVQZdzw1tXVFmOwwMAAACQjfz000/q3r27zp0753L2hRde0NixYxUUxL+bAAAAAADZl1cUoWw2mwzDuO3X3ODua298H3aRAADAe6zeH+Ny5v9qllDnuqU8HwYAAAAAvMiCBQtclqDCwsI0bdo0tW7d2qRUAAAAAAB4Lx+rAxiGcdslqH++7nZeeyffBwAAeM6Bs1c0atFepzMLXq6n956MMCkRAAAAAHiP8ePHq2zZsumuP/roo4qKiqIEBQAAAADA/2fpjlCdO3e28tsDAAALJV1LVZNxq5zOvNv2AUUUDzEpEQAAAAB4l6CgIEVGRqpevXpKTU11XA8ICNDYsWP14osvsvs9AAAAAAD/YGkRasaMGVZ+ewAAYKGnJ/7ldL1ISIDa1yppUhoAAAAA8E61a9fW4MGDNWzYMElS1apVFRkZqQoVKlgbDAAAAAAAL2RpEQoAAGRPiSmpijoR53TmsUpFTEoDAAAAAN5t4MCB+u2339SgQQMNGzZMOXLksDoSAAAAAABeiSIUAAAw3dLdZ5yu5/TzUZsqxUxKAwAAAADmi4uLU548edw62s7Pz08rV66Uv7+/CckAAAAAAMi8fKwOAAAAsp9Ri/Y4XZ/RtYYeKBZiUhoAAAAAMNdvv/2mChUqaPr06W6/hhIUAAAAAACuUYQCAACmstsNnYpLTHd9/duPqG7ZMBMTAQAAAIA5rl69qv/+979q3ry5Tp06pVdffVV///231bEAAAAAAMgyKEIBAABT2Q3D6XqhPAEmJQEAAAAA82zfvl01atTQxx9/7LgWHx+vDh06KCUlxcJkAAAAAABkHRShAACAqVJS0y9CvVC/jIlJAAAAAMDz7Ha7PvzwQ9WsWVO7du26aX3Dhg169913LUgGAAAAAEDWQxEKAACY6tMV6R/70PT+QiYmAQAAAADPOnbsmJo0aaJ+/fopOTk53bmRI0dq48aNJiYDAAAAACBroggFAABM9fnKg+mu2UzMAQAAAACe9M0336hSpUr6/fffXc726dNHERERJqQCAAAAACBr87M6AAAAyPoMw9Cav8+p0/QNTufKFQw2KREAAAAAeEZcXJxefvllRUZGupwtUqSIZs6cqWbNmpmQDAAAAACArI8iFAAA8LhxS/fr0xUHXM6F5PY3IQ0AAAAAeMbq1avVsWNHHT161OXsk08+qcmTJys0NNSEZAAAAAAAZA8cjQcAADzqVNxVt0pQX3SoZkIaAAAAAMh4ycnJevvtt9WwYUOXJaigoCDNmDFD8+bNowQFAAAAAEAGY0coAADgURsPX3Br7qFwPgAAAAAAkPns3btX7du315YtW1zO1qlTR5GRkSpTpowJyQAAAAAAyH7YEQoAAHjMNxuP6pWvtrqcG/10JQUHcCweAAAAgMzDMAx9/vnnqlq1qssSlK+vr0aMGKHVq1dTggIAAAAAwIPYEQoAAHjEqEV7NHl1tMu5uT1qqW7ZMBMSAQAAAEDGOHPmjJ5//nktWrTI5Wx4eLjmzJmjmjVrmpAMAAAAAIDsjSIUAADIcLtOxrlVgtozooVy5fA1IREAAAAAZIyff/5Z3bt3V0xMjMvZF154QWPHjlVQUJAJyQAAAAAAAEUoAACQoQ7GXFGrT9a6nHuyajFKUAAAAAAyFcMw9Omnn7osQYWFhWnatGlq3bq1SckAAAAAAIAk+VgdAAAAZB0xl5P0yNhVbs32alDWw2kAAAAAIGPZbDbNmDFD+fLlS3emZcuWioqKogQFAAAAAIAFKEIBAIAM89vu027N/dKnnu4tFOzhNAAAAACQ8YoXL65JkybddD0gIEATJkzQwoULVbhwYQuSAQAAAACATHc0nmEY2rRpk9asWaM9e/bo/PnziouLk91u19ixY/Xggw9aHREAgGxr4I87na4/+WAxjW1XWTabzaREAAAAAJDxnnnmGXXq1EmzZs2SJFWtWlWRkZGqUKGCxckAAAAAAMjeMk0RKiUlRZ9//rk+/vhjHTlyJM2aYRiy2Wy6cOHCLV/bs2dPLV26VJJUsmRJ/f777x7PCwBAdhMdc8Xpuq+PjRIUAAAAgCzj008/1R9//KF27dpp2LBhypEjh9WRAAAAAADI9jJFEerAgQP6z3/+o23btskwDElyfIh647kz//nPfzRlyhRJ0pEjR7R+/XrVqlXLc4EBAMhmrqXaNeH3g05n9o1sQQkKAAAAgFdLTExUQECAW7N58uTRjh07lDt3bg+nAgAAAAAA7vKxOoAr0dHRqlevnqME9c8C1D+fO9O4cWPdd999jufffPONx/ICAJDd/LrzlMIHLtb3W46nOzPksfvl5+v1f+0AAAAAkI399ttvCg8P1/Lly91+DSUoAAAAAAC8i1d/IpmcnKxHH31UZ8+edVwrWbKkPv74Y+3Zs0dXrlxxuwz11FNPOR4vWbLEI3kBAMhuuszYoF6RW1zOPVapiAlpAAAAAOD2Xb16Vf/973/VvHlznThxQp07d9b58+etjgUAAAAAAO6AVxehPv/8c+3fv99RdGrbtq127dqlPn366L777rut37hq2bKlpOs7Se3du1exsbEeyQwAQHbx/ebjWrkvxuVc4TwBKpjHvaMlAAAAAMBM27dvV40aNfTxxx87rp04cUK9evWSYRgWJgMAAAAAAHfCq4tQ48ePd5Sgqlatqq+//lq5cuW6o3tVqVIlzc5Ru3fvzpCMAABkVwujTrk116xiIQ8nAQAAAIDbY7fb9eGHH6pmzZratWvXTevfffedIiMjLUgGAAAAAADuhtcWofbs2aOjR486fvPq3Xfflb+//x3fLzAwUMWKFXM8P3jw4F1nBAAgOzt2PsHlTO4cvnqm2j0mpAEAAAAA9xw7dkxNmjRRv379lJycnO5c7969dfjwYfOCAQAAAACAu+a1RaitW7c6HgcFBalJkyZ3fc98+fI5Hl+8ePGu7wcAQHYWfS7e6XqriCKa3a2WIoqHmJQIAAAAAJz75ptvVKlSJf3+++8uZ59//nkVKsQOtwAAAAAAZCZ+VgdIT0xMjCTJZrOpdOnS8vG5+85W7ty5HY8TElzvYgEAAG5mGIYOxsQr1W7ccr1d9eIa/XRlk1MBAAAAQPri4uL08ssvu3XcXZEiRTRz5kw1a9bMhGQAAAAAACAjeW0RKjEx0fE4Z86cGXLPuLg4x+M8efJkyD0BAMgODMPQJ8sP6Metx3U41nmZ+IFi7AAFAAAAwHusXr1aHTt21NGjR13OPvnkk5o8ebJCQ0NNSAYAAAAAADKa1x6NV6BAAcfjc+fO3fX9UlNTdezYMcfzsLCwu74nAADZxbil+/XRsv0uS1CSFJLL34REAAAAAOBccnKyBgwYoIYNG7osQQUFBWn69OmaN28eJSgAAAAAADIxr90RqkiRIpKu70Bx5MgRxcXFKSTkzneY2LRpk+Lj4x3P77333rvOCABAdmAYhiatinZ7vk4ZPjQAAAAAYK29e/eqffv22rJli8vZOnXqaPbs2SpbtqwJyQAAAAAAgCd57Y5QdevWlZ+fn2w2mwzD0Lx58+7qfpMmTXI8zps3r6pWrXq3EQEAyBb+PBir5FS7W7NtHyymgnkCPJwIAAAAAG7NMAx9/vnnqlq1qssSlK+vr0aMGKHVq1dTggIAAAAAIIvw2iJUSEiI6tatK8MwZBiG3nvvPSUkuD6O51bWrVunyMhI2Ww22Ww2tWzZMoPTAgCQ9RiGobG/7VP7qevdfs3opyt5MBEAAAAApO/06dNq1aqVevfuratXrzqdDQ8P1x9//KHBgwfLz89rN80HAAAAAAC3yWuLUJL0+uuvS5JsNpsOHTqk9u3bKyUl5bbusW3bNj311FNKTU2VYRiy2Wx66623PBEXAIAsZdmes/p0xQG3Zivfk1f732kpf1+v/qsFAAAAgCzq559/VkREhBYvXuxytkePHtq6datq1aplQjIAAAAAAGAmr/608vHHH1eDBg1kGIak629o1KpVS8uXL3f52hMnTmjAgAGqV6+eTp065ShBtW/fXg888ICnowMAkOmt3HfW5cy8XnW0d2QL/dT7IeXw8+q/VgAAAADIolJSUvTWW2/p3LlzTufCwsI0f/58TZ48WUFBQSalAwAAAAAAZvL6fZ+//fZb1apVS0eOHJF0fYenZs2aqXDhwqpataokOUpOo0aN0rhx43TgwAH9/fffadYMw1BERIS++OILy34WAAAyk/PxyU7Xe9Yvo+ql8puUBgAAAABuzd/fX5GRkapVq5auXbt2y5mWLVtq+vTpKly4sMnpAAAAAACAmbx+64YCBQpoyZIluu+++9KUmk6dOqVFixY55gzD0O+//67Fixdr//79MgwjzfyDDz6ohQsXKleuXBb+NAAAZA0+NmnAoxWsjgEAAAAAkqSqVatq5MiRN10PCAjQhAkTtHDhQkpQAAAAAABkA15fhJKkcuXKafPmzerZs6d8fX0lSTabzfHfG183/PO5r6+vevbsqT/++EPFihUzPzwAAJmM3W5o5h+HtHjn6XRndg1vYWIiAAAAAHCtX79+ql+/vuP5gw8+qC1btuill15K894hAAAAAADIujJFEUqScuXKpYkTJyo6OlpvvvmmHnjgAUly7Pz076+yZcvq5Zdf1r59+zRx4kQFBARY/BMAAJA5PDtlnYYt2J3ueqc6JZUrh6+JiQAAAADANV9fX82aNUv58uXTW2+9pXXr1qlCBXayBQAAAAAgO/GzOsDtKl68uN5//329//77unjxovbt26fY2FhdvHhRuXPnVlhYmEqXLs3uTwAA3IF5m49rw6HzTmd8+E1qAAAAACZKTU117BLvSsmSJXXgwAHlz5/fw6kAAAAAAIA3ynRFqH/KmzevatWqZXUMAACyBMMw9MZ3213OVSoeYkIaAAAAAJCWLl2ql156ST///LPbuztRggIAAAAAIPvKNEfjAQAAz9p18pJbc4+UL+ThJAAAAACyu8TERPXt21fNmjXTgQMH1KFDByUnJ1sdCwAAAAAAeDmvLkJdu3bN6ggAAGQLZy8l6rFP17qcWzfgEYXk9jchEQAAAIDsavv27apevbrGjx/vuLZlyxYNHTrUulAAAAAAACBT8OoiVJEiRfTKK69o06ZNVkcBACBLG/vbfqfrfZvcq+hRj6pwSIBJiQAAAABkN3a7XWPHjlXNmjW1a9eum9Y/+OADrV692oJkAAAAAAAgs/DqIlRsbKwmTJigWrVqqWLFihozZoxOnjxpdSwAALKcbzYdc7reu1FZ+fjYTEoDAAAAILs5fvy4mjZtqjfeeCPdI/AMw1DHjh0VFxdncjoAAAAAAJBZeHUR6gbDMLRnzx699dZbKlmypFq0aKGvv/5aiYmJVkcDACDTm7P+iNP1J6oUlZ9vpvgrAwAAAIBM6Ntvv1VERIRWrFjhcrZt27bKkSOHCakAAAAAAEBm5NWfagYGBsowDEmSzWaTYRhKTU3V0qVL1b59exUuXFgvvPCC1q5da3FSAAAypzOXEjXwx51OZz54upJJaQAAAABkJ3FxcerUqZP+85//6OLFi05nixQpoiVLlmj8+PHKlSuXOQEBAAAAAECm49VFqDNnzmjmzJlq3LixbLbrx/Hc+K9hGLp06ZKmTZumBg0aKDw8XCNHjtThw4ctTAwAQObyy45TTtfn9aqjnH6+JqUBAAAAkF2sWbNGlStX1uzZs13OPvnkk4qKilKzZs1MSAYAAAAAADIzry5C5c6dW506ddKyZct0+PBhvfPOO7r33nvT7BIlXS9FRUdHa9iwYQoPD1fDhg01c+ZMXblyxcr4AAB4tStJ11wei1f5nrzmhAEAAACQLSQnJ2vgwIFq2LChjhxx/u+RoKAgTZ8+XfPmzVNoaKhJCQEAAAAAQGbm1UWofypevLjefvtt7dmzR+vWrdOLL76ofPny3VSKstvtWrNmjbp166bChQs7ilQAAOC6w+fiVeqthXpg6BJFx8SnOze1U3X5+2aavyoAAAAA8HJ79+5V3bp1NWrUKNntdqezderU0bZt29S1a1fH+34AAAAAAACuZMpPN2vWrKkJEybo1KlT+v7779W6dWv5+fnJMIw0u0QlJCRozpw5at68uUqUKKGBAwdq3759FqcHAMA6f5+5rIYfrnRrtsn9hTwbBgAAAEC2YBiGJk6cqKpVq2rz5s1OZ319fTVixAitXr1aZcuWNSkhAAAAAADIKjJlEeoGf39/tW3bVvPnz9fJkyc1fvx4Va1a9ZZH5x0/flzvv/++7r//ftWuXdvK2AAAWGbQ/J1uzXWv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===== CREATE FULL DATA INPUT =====\n","\n","X_full = pad_sequences(\n"," tokenizer.texts_to_sequences(df['clean_text']),\n"," maxlen=MAX_LEN\n",")\n","\n","y_full = df['hate_label'].values\n","\n","print(\"✅ X_full shape:\", X_full.shape)\n","print(\"✅ y_full shape:\", y_full.shape)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3ZNkX44Dq4Mo","executionInfo":{"status":"ok","timestamp":1774672586610,"user_tz":-330,"elapsed":1074,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"baa3ac0d-5241-4aa8-b89e-10e70200668a"},"execution_count":45,"outputs":[{"output_type":"stream","name":"stdout","text":["✅ X_full shape: (29506, 128)\n","✅ y_full shape: (29506,)\n"]}]},{"cell_type":"code","source":["print(\"\\n Testing on FULL DATASET\")\n","\n","# ===== USE FINAL TRAINED MODEL =====\n","final_model = model\n","\n","# ===== (Use your already prepared X_full, y_full) =====\n","y_pred_prob = final_model.predict(X_full)\n","y_pred = (y_pred_prob > 0.5).astype(int)\n","\n","from sklearn.metrics import *\n","\n","# ===== METRICS =====\n","acc = accuracy_score(y_full, y_pred)\n","bal_acc = balanced_accuracy_score(y_full, y_pred)\n","prec = precision_score(y_full, y_pred)\n","rec = recall_score(y_full, y_pred)\n","f1 = f1_score(y_full, y_pred)\n","roc_auc = roc_auc_score(y_full, y_pred_prob)\n","\n","tn, fp, fn, tp = confusion_matrix(y_full, y_pred).ravel()\n","specificity = tn / (tn + fp) if (tn + fp) != 0 else 0\n","\n","print(\"\\n📊 FULL DATASET RESULTS\")\n","print(f\"Accuracy: {acc:.4f}\")\n","print(f\"Balanced Accuracy: {bal_acc:.4f}\")\n","print(f\"Precision: {prec:.4f}\")\n","print(f\"Recall: {rec:.4f}\")\n","print(f\"Specificity: {specificity:.4f}\")\n","print(f\"F1 Score: {f1:.4f}\")\n","print(f\"ROC-AUC: {roc_auc:.4f}\")\n","\n","# ===== ✅ APPEND TO EXISTING RESULTS =====\n","results.append([\n"," \"full_dataset\", acc, bal_acc, prec, rec, specificity, f1, roc_auc\n","])\n","\n","# ===== RECREATE FINAL TABLE =====\n","cols = [\"Phase\", \"Accuracy\", \"Balanced Acc\", \"Precision\", \"Recall\", \"Specificity\", \"F1\", \"ROC-AUC\"]\n","result_df = pd.DataFrame(results, columns=cols)\n","\n","print(\"\\n📊 FINAL RESULT TABLE \")\n","print(result_df)\n","\n","# ===== SAVE UPDATED TABLE =====\n","result_df.to_csv(BASE_DIR + \"/results/final_results.csv\", index=False)\n","\n","# ===== PLOTS =====\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","import numpy as np\n","\n","# 1. CONFUSION MATRIX\n","plt.figure(figsize=(8,6), dpi=300)\n","cm = confusion_matrix(y_full, y_pred)\n","\n","sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues',\n"," xticklabels=['Non-Hate', 'Hate'],\n"," yticklabels=['Non-Hate', 'Hate']\n",")\n","\n","plt.xlabel(\"Predicted Label\")\n","plt.ylabel(\"True Label\")\n","plt.title(\"FULL DATASET Confusion Matrix (Hate vs Non-Hate)\")\n","plt.tight_layout()\n","plt.savefig(BASE_DIR + \"/plots/full_dataset_cm.png\")\n","plt.show()\n","\n","# 2. ROC CURVE\n","fpr, tpr, _ = roc_curve(y_full, y_pred_prob)\n","\n","plt.figure(figsize=(8,6), dpi=300)\n","plt.plot(fpr, tpr, label=f\"AUC = {roc_auc:.4f}\")\n","plt.plot([0,1],[0,1],'k--')\n","plt.xlabel(\"False Positive Rate\")\n","plt.ylabel(\"True Positive Rate\")\n","plt.title(\"FULL DATASET ROC Curve\")\n","plt.legend()\n","plt.tight_layout()\n","plt.savefig(BASE_DIR + \"/plots/full_dataset_roc.png\")\n","plt.show()\n","\n","# 3. PRECISION-RECALL CURVE\n","precision_vals, recall_vals, _ = precision_recall_curve(y_full, y_pred_prob)\n","pr_auc = auc(recall_vals, precision_vals)\n","\n","plt.figure(figsize=(8,6), dpi=300)\n","plt.plot(recall_vals, precision_vals, label=f\"PR AUC = {pr_auc:.4f}\")\n","plt.xlabel(\"Recall\")\n","plt.ylabel(\"Precision\")\n","plt.title(\"FULL DATASET Precision-Recall Curve\")\n","plt.legend()\n","plt.tight_layout()\n","plt.savefig(BASE_DIR + \"/plots/full_dataset_pr.png\")\n","plt.show()\n","\n","# 4. F1 vs THRESHOLD\n","thresholds = np.linspace(0, 1, 100)\n","f1_scores = []\n","\n","for t in thresholds:\n"," preds = (y_pred_prob > t).astype(int)\n"," f1_scores.append(f1_score(y_full, preds))\n","\n","plt.figure(figsize=(8,6), dpi=300)\n","plt.plot(thresholds, f1_scores)\n","plt.xlabel(\"Threshold\")\n","plt.ylabel(\"F1 Score\")\n","plt.title(\"FULL DATASET F1 Score vs Threshold\")\n","plt.tight_layout()\n","plt.savefig(BASE_DIR + \"/plots/full_dataset_f1_curve.png\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"UYZiG_Dxrgvg","executionInfo":{"status":"ok","timestamp":1774672597804,"user_tz":-330,"elapsed":8734,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"c3339ada-a535-4b95-e919-a932fe88743d"},"execution_count":46,"outputs":[{"output_type":"stream","name":"stdout","text":["\n"," Testing on FULL DATASET\n","\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 5ms/step\n","\n","📊 FULL DATASET RESULTS\n","Accuracy: 0.6899\n","Balanced Accuracy: 0.6896\n","Precision: 0.6601\n","Recall: 0.6852\n","Specificity: 0.6939\n","F1 Score: 0.6724\n","ROC-AUC: 0.7241\n","\n","📊 FINAL RESULT TABLE \n"," Phase Accuracy Balanced Acc Precision Recall Specificity \\\n","0 hindi 0.518480 0.514767 0.461652 0.480430 0.549104 \n","1 hinglish 0.444522 0.495944 0.387464 0.729875 0.262014 \n","2 english 0.711936 0.711970 0.806950 0.557333 0.866607 \n","3 full_dataset 0.689860 0.689551 0.660107 0.685197 0.693905 \n","\n"," F1 ROC-AUC \n","0 0.470854 0.535600 \n","1 0.506203 0.520044 \n","2 0.659306 0.823096 \n","3 0.672418 0.724131 \n"]},{"output_type":"display_data","data":{"text/plain":["
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4cKF8fbbb8fkyZNj4cKF0aBBg2jZsmXsuuuusc022+R9/Fyddtpp8bvf/a54+e67787pe3L16tXxwAMPpPVZ0ZYsWRKfffZZfP755zFv3rxYvHhx1K5dO5o2bRqtWrWK3XffPW3ax6piwYIF8e6778bUqVNjwYIFUVRUFM2aNYvDDjssOnbsWOjwCq7kNWKPHj2idevWBYom/9auXRtffPFFfPbZZzFz5sxYtGhRrF27Npo2bRpNmzaNbbbZJnbYYYcqNX3iqlWr4t13342ZM2fG7NmzY9GiRdG0adNo2bJlbLfddrHddtsVOsSCW716dUycODE+/vjjmD9/fixatCgSiUTUrVs3mjRpEh06dIgtttgiOnXqVOhQo0WLFvHHP/4xLr300uK2JUuWxJVXXplW7aqyLVu2LMaOHRvffPNNzJkzJ1asWBEtW7aMVq1axS677BKbb755pcQxefLkeP/992PmzJmxcuXKaN68ebRt2zZ69OgRTZs2rZQYNgWrVq2KKVOmxGeffRbfffddLFq0KCIimjVrFs2aNYsddtghtt566wJHmZt1x+h3330Xc+bMiaVLl0bz5s2jZcuWsfPOO0fnzp0rbKxjjz02XnvtteLl4cOHx5IlS6JBgwYVNgYAABuQBIBkMjlt2rRkRKS89ttvv7yO2bFjx7Qxp02bViF9l+w326+8/fbbL28xZZLpZ7Cxyvcxct5556X1X6tWreS3335bpv569uyZ0lf9+vWTixcvLn7//PPPTxvv/fffr6jdSY4ePTrvn6nTTz89pf9EIpGcOnVq8fs33XRTWgyPP/54mcbq1atXWl8vvPBCRe1KVgYPHpwWw5AhQyo1hg0p63knn5YuXZps3LhxWlxXXnlloUNLJpPJ5LJly5LXX399crfddksmEomMP8OISNaoUSO5zz77JO+6667kmjVrch4n0+dx9OjRxe8vXLgwedlllyVbt2693hjq16+fHDhwYPLLL7/Masz19ZPt68fxZbMPuSj53TNgwICst12+fHny5ptvTu6xxx5Z7UcikUhus802yV/96lfJ//3vf8nVq1eXOkbJPgYPHlym/Zw0aVLy9NNPT7Zp02aDMTZv3jzZr1+/5Lhx48o0zoABA1L669ixY8r748ePTx5zzDHJmjVrrjeGjh07Jv/1r38lV61aVaYYyqPktU/16tWTyWQyOXv27LSYJ0yYkHW/jz/+eMq2rVq1Sq5atSr51Vdfpe1/Lsfg6tWrky+88ELy//7v/5I77rjjBs8d615dunRJ/vnPf07OmTMn63Eyfefk+lrffpV2zDz77LPJgw46KFm9evWM/Wb67iv5/7iha47Vq1cne/Tokdbvn/70p6x/PuusXbs2efDBB6f19Zvf/CbnvnKxZMmSZJ06dVLGvP7668vUVz6v/8t7rT9p0qTkNddck+zVq1eyfv36pR5zjRs3Th577LHJt99+O+sxMl3jl+WVraKiouSjjz6aPOKII0rdp7Zt2ybPOeec5FdffZXTz62s/va3v6XFMHz48HL1uXz58mSTJk1S+tx9991L3e7ll19OnnDCCcm6detm9fNv0aJF8sgjj0zecccdOZ3ryqrkeSwikl999VVy6dKlyc022yylvWbNmskpU6Zk3XfJ3+Ny/dz82COPPJI8+OCDk7Vr197gz2/77bdPDh48OLlw4cIyjVOyvx9fu6xduzZ59913J3/2s5+td/zq1asne/bsmXzrrbfKvK8VIZ9/nyjZb8nvvtKMHz8+OXjw4OS+++5b6v9nRCRbtmyZHDRoUPLTTz/NeoxM19u5vnLZr9WrVyf/+9//Jg888MBkrVq1Nthvly5dkhdffHFy3rx5Of3cMvniiy/S+n/ggQfK3S8AANkp/F0DADYKEnR+IEFn/fJ9jHzxxRcZb0T985//LFNfJW/YnXLKKSnrjBs3Lm2sc845p6J2J+8JOosXL042aNAgpf8ePXqkrDNr1qxkjRo1UtY54ogjyjTeL37xi7T9ueOOOypiV7ImQSd3999/f1pMNWvWLHPiW0V66KGHku3atcv5j97bb799csyYMTmNtaHklldffTWnOOrWrZscMWJEqWOW94/7G2OCzujRo5OdO3cu134999xzpY5TcptcE3SWLl2aPOuss9LOf6W9EolE8pRTTknOnz8/p/HWl2xRVFSUvPTSS9ebZJHptcsuuyRnzZqV0/jltb4EnWQymezbt2/Ke+edd17W/R5xxBEp215wwQXJZDJZrgSdhx9+ONmiRYsyH3/16tVL3nLLLVmNVYgEncWLFyePOeaYUvstb4JOMplMfv3112k/y2rVquWcfHvllVemxbfnnnvmPdlsxIgRaeO+8847ZeprY0zQmTt3bnKXXXYp1/HXp0+f5Pfff1/qWJWZoPPqq68md91115z7rl27dvLPf/5zcu3atVmNU1bfffdd2ndHnz59ytXngw8+mLY///nPf9a7/vz589POvbm+TjjhhHLFnI31Jegkk8nk7bffnvbe8ccfn3XfFZGgM27cuKyTiX/8atGiRfK2227LebyS/ay7dvn666+TP//5z3OK4ZJLLsl5/IqyMSboTJw4Mdm1a9cyfx4SiUTyjDPOSK5YsaLUsSozQWf48OHJLbfcMuf+GzVqlPW1zIaU/L8+6aSTyt0nAADZqTp1bwGATVrnzp2jd+/eae1PP/10zn0NGTIkkslkStu66a3W2WWXXWKHHXZIaRs6dGisWLEi5/EK4ZFHHoklS5aktJXcx1atWsVhhx2W0vb888/HN998k/N4maYHeeSRR3Luh8o1cuTItLY+ffoUfLqXq666Kk488cSYOXNmztt+8skncfDBB8ewYcPKHcfTTz8dBx10UE5xLF++PI455ph4/vnnyz1+VfLss8/GoYceGtOmTSt0KBs0d+7cOPDAA+PWW2+NNWvW5LRtMpmMBx54IHr06BFffvllueIoKiqK/v37x1/+8peU6RtLM378+Nh3333Tzu+FUnJKqgcffDBWrVpV6nbffvtt2mekIqa3+vTTT2Pu3Lll3n7ZsmVx7rnnxllnnVXuWCra0qVLo2fPnvH4449Xynjt2rWLBx54IBKJRHFbUVFRnHLKKVlfJ4wePTquuOKKlLamTZvGww8/XKbpNHPx3HPPpSw3atQodt1117yOWZkWL14c48ePL1cfI0aMiD333DO+/vrrCoqqfO6444448MADY9y4cTlvu3Llyrjqqquib9++sXTp0jxE94PWrVvH4YcfntL27LPPpkyLm6shQ4akLNepUydOOumkjOt+//33sf/++8fw4cPLPN7G4PTTT0+bXujRRx+N9957r1LGf/7552OfffaJd999N+dt586dG2eeeWacf/75UVRUVK44vvjii9hrr73irbfeymm7q6++OmWasJ+67777Lj7//PMyb59MJuPOO++Mfffdt3gqrEJKJpMxePDg6Nu3b0yZMiXn7RctWhTnnntu/PrXv87pGrOkAw44IGX5f//7X7mPeQAAslOj0AEAAKzTs2fPePLJJ1Pa3n777Ugmkyk3kDakqKgo7rnnnpS2du3aRc+ePdPWPfXUU+MPf/hD8fKCBQviiSeeiH79+uUce2W76667Upbr1KkTxx9/fNp6p556ajz11FPFy2vXro177rknLrnkkpzG6969e9xxxx0pbS+++GL861//ivPOOy+nvqg8r7zySlrbgQceWPmB/MhVV10Vl112WVp7jRo14oADDoiDDjoo2rVrF2vWrImvvvoqnn322eLzwDqrVq2Kk08+OapXr57xuM/GhAkT4uKLLy5ONqhbt2707Nkz9t1332jTpk3UqFEjvvrqq/jf//4XL730Usq2a9asiTPOOCM++eSTaNy4ccb+d9ppp5TlKVOmpNxUrF+/fmy55Zbrja9BgwZl2q98mDt3bgwYMCBWrlyZ0l6jRo3Yd999o3v37tGpU6do2LBhRPxw42D27NnxySefxLhx4+Kzzz6rlDiXL18eBxxwQHz88cdp77Vo0SL69u0bO+64Y7Rq1SrmzZsXEydOjMcffzwtGeHTTz+NHj16xIQJE6JZs2ZliuVPf/pTDB06tHi5ffv2ccQRR8QOO+wQLVq0iCVLlhSPXzLpadKkSXHRRRfFLbfcUqaxK9Jhhx0Wm222WXz77bcRETFv3rwYMWJEHHfccRvc7t577025abTnnnvG9ttvX+HxdezYMXbZZZfYbrvtYvPNN4+GDRtG3bp1Y8mSJfHNN9/EhAkT4oUXXoiFCxembHfbbbfFDjvsEGefffZ6+27Tpk3x53jJkiUxderUlPe7dOlS6ue0Q4cOWe/Lr371q3jnnXeKl9u2bVt8zLRq1SoWLVoUM2bMyJh4WVaHHHJIXHLJJfHXv/61uG3OnDlx4oknxujRo6N69err3XbWrFnRr1+/tJuD99xzT3Tq1KnCYlyfMWPGpCzvvPPOG4y3qmvQoEHssccese2228ZWW20VjRs3joYNG8aqVavi+++/j08//TRGjx4dEydOTNlu8uTJccIJJ8SYMWOiRo3MfwKsVatWynfWp59+GqtXry5ebtq0aU7HcibXXnttXHzxxWnt9evXj4MPPjj22GOP2GyzzaJhw4axcOHCmDx5cowaNSotmWfkyJFx+umnx0MPPVSueDbktNNOS/mcrV69Oh544IH47W9/m3NfX3/9ddo1xFFHHRVNmjTJuP4FF1wQH374YVp7165d46CDDoptttkmmjdvHrVr144lS5bEggUL4vPPP4+PP/44xo4dm/Y9XSjVq1ePa665Jo4++ujitmQyGRdeeGHaz6OijR49Onr37p0xSXfnnXeO3r17R6dOnaJu3brx7bffxpgxY+KFF15I+9ndfPPNsXbt2jJ/Fy9evDgOO+yw4iTwRCIR3bt3j4MOOig6dOgQDRo0iDlz5sQbb7wRw4cPT3tI5Nprr43evXvHXnvtVabxN2VNmzYtPh926dIlGjVqFA0aNIjly5fH3Llz45NPPon//e9/acnW77zzTvzyl7+Mhx9+eL19N2jQIOV8+MEHH6S837p161IfdGjbtu0G3z/rrLPi9ttvT2tv1qxZHHzwwbHbbrtFq1atol69erFgwYL45JNP4vnnn49JkyalrH/HHXdEkyZN4rrrrtvgeOuzxx57pPzdZN68efHRRx+l/Q4DAEAeFLB6DwAbEVNc/cAUV+tXGcfIe++9l/H/btKkSVn38dxzz6Vtf+GFF2Zc95tvvkmbeuTAAw+skH3J5xRXEydOTOt7faXsV6xYkWzatGnKultuuWXOY86ePTtZt27djP8/vXv3Tr722mvl3a1SmeIqN19++WXGmN57772CxfT6669nnO6nR48eG/ycv/nmm8ltttkmbbsmTZokZ8yYUeq4mT6PderUKf53//79k998880Gt2/WrFlaH9dcc03W+57r9DPZ7ENlTXF11VVXpY198MEHZ/WzTyZ/+P74+9//ntxqq63yOsXVr3/967Rtq1evnrzkkkuSy5cvz7jNmjVrktdff32ydu3aadv27ds3q3FLTvNRq1at4mkWGzZsmLzjjjuSa9asybjtypUrkxdeeGHGuL/++uusxi+vDU1xlUwm0+I79NBDS+2z5FQUP54upDxTXA0ePDi5ww47JP/xj38kP//886y2WbFiRfLmm29ONmrUKGXM2rVrZ/0zrsjPXzKZfsz8+LxYt27d5D/+8Y8NThGV6Xgu6zlmzZo1yf333z9t/y666KL1brN27drkgQcemLbNb3/726zGLK9FixYlq1WrljL2ueeeW+b+NsYprqZNm5Zs0qRJ8txzz02+8sorWU8Z9sYbbyR33333tDFvuOGGMsec7edzfV588cW0/6+6desmr7nmmuTChQs3uO3o0aOTXbp0SdufipjeZX1Wr16dbNWqVcp4O+64Y5n6+stf/pIW+//+97+M63755ZdpU/S2bNkyOXLkyKzGWrJkSXL48OHJI444ItmvX78yxZuLDU1xtU6mqZ2yuQ4o6xRXc+fOzThtaYcOHTY47ldffZU2LeO615NPPpnV2CW3+/F15l577ZV8//3317vttGnTMk79dsghh2Q1dkXaGKe4Gj16dLJNmzbJiy66KDl27NisprorKipKPvPMM8mtttoqbdxHH320zDHnOu1qSXfffXdan82aNUvefvvt671WXbc/TzzxRNq5KSKSTz31VJlief3119P6+u9//1vWXQMAIAcb711AACqVBJ0fSNBZv8o4RlavXp2sWbNmmf6Qu86xxx6btv2nn3663vUPO+ywlHUTiUTyiy++KPe+5DNB5/e//31a388+++x61z/rrLPS1n/llVdyHvcPf/hDxs/Wule7du2SgwYNSt5xxx3JCRMmJFevXl2e3UwjQSc3o0aNSounZs2aWd/kq2hFRUXJrbfeOi2mI444Irly5cpSt583b17yZz/7Wdr2Rx55ZKnbZvo8rntdddVVWcX/2muvpd04yyXZrSon6JS82bvNNtskV6xYkfO4RUVFyWXLlpW6XlluhmS6yVCtWrXkfffdl1VsTz/9dMbvn8cee6zUbTPdpFx3w2XChAlZjf/LX/6yzMdmeZWWoDNp0qS0n+uGElteffXVlPXr1q2bchO+PAk6CxYsKNM+JpPJ5AcffJCWpHPxxRdntW2+E3TWverXr58cM2ZMmfoszznm22+/TbZu3Trtemh91xaXXXZZWux77bVXpX2/vPLKK2nj/zgJLFcbY4LOypUrszpfZrJ8+fLkoYcemjJm+/bts74uq8gEnUWLFqUdW61atUp++OGHWfexYMGC5I477pjSR4sWLZJLly4tc1ylueCCC9L+3zaUYLE+JZMD2rdvv97kgltuuSVtzLJcryeTybz+bNbJJkGn5PdBRCR32mmnUhMsypqgk+m7tHPnzmlxZVJUVJQ85ZRT0rZv2bJlma5d1r2OPPLIDSZerDNv3ry0z0q1atWyToauKBtjgs7SpUvL/Hvl/Pnzk7vsskvKuD//+c/LHHN5EnSmTZuWrFevXkp/Xbt2zer4XOfLL79Mbr755il9bL/99smioqKc41m4cGHa/v3qV7/KuR8AAHJniisA1uu9996LnXfeuUzb3nnnnbH77rtXbEBs8mrUqBHNmjWLWbNmpbR//fXXWW0/d+7ctKkfdt9999h2223Xu82AAQPiueeeK15OJpMxZMiQuPLKK3OIvPKsXr067rvvvpS2Nm3aRK9evda7zYABA+LWW29Nabvrrrtiv/32y2nsK6+8Ml5//fV46623Mr4/c+bMGDJkSAwZMiQifph2a8cdd4y99tor9t1339hnn32idevWOY1Zmssuuyz+8Y9/lKuPrbfeeoOlzquqr776Kq2tefPmUbNmzQJEE/HMM8+klWbv0KFDPPzww1GrVq1St2/WrFmMHDkytt9++1i+fHlav1tvvXXOMR199NFx6aWXZrVujx494rjjjotHHnmkuG3KlCkxderU6NKlS85jVyVffPFFynL//v2jdu3aOfeTSCSibt26FRVWiptuuimt7Te/+U30798/q+2POOKIuOqqq+Kiiy5Kab/xxhvjmGOOKVNMQ4YMyXqagGuvvTbuv//+lCkuXnjhhayPz3zq2rVr7L333vHGG29ExA9TSd57773rnSrx7rvvTlk+5phjolGjRhUSy/qmlMvGjjvuGFdffXWce+65xW133XVXXH311RURWoW49tprY9999630cdu0aRNDhw6NXr16RVFRUUT8cD106qmnxvjx42PzzTcvXvell16Kv/zlLynbN23aNB5++OFK+375/PPP09o6duxYoWMcfvjhWX03labkFHrZKs/YderUiXvvvTc6d+4cy5Yti4gonrLx8MMPL3O/ZXHbbbelXNdXq1YtRowYETvssEPWfTRu3DiGDx8e2267bfG0lHPnzo0777wz/u///q/CY474YZqrv//97yltQ4YMiV133TXrPl5//fWYPHlyStuAAQOiWrVqGdcv+V271VZb5Xytvk69evXKtF1F22effaJ3794p0+1+8MEHMXTo0Ky/n7M1d+7cuP/++1PaqlevHk888UTKOWx9EolEDBkyJD744IP46KOPitvnzJkT999/f/zqV7/KOaZOnTrFAw88EHXq1Cl13WbNmsXgwYNTpl4sKiqKUaNGxemnn57z2BWprH8TqijlOZ6bNm0a9913X8o556233opPP/00tttuu4oIL2s33HBD8Tk54ocp/p5//vmsjs912rdvHw899FD06NGjuO2TTz6Jp556Kn7xi1/kFE+jRo2iSZMmsWDBguK2TN+vAADkQaEzhADYOGSqjlKeVzZPFaugo4JOJpkqbNx4441Zbfv3v/89bdubb755g9ssX7482bhx46yfbs1WviroPPHEE2n9XnDBBaVuV/LnWrdu3TJVIvj++++TvXv3LtN5IZFIJPfbb7/kXXfdVabqG5kq6FTEa6eddso5lkzKet7JlxtvvDEtnm222aZg8RxyyCFp8TzyyCM593P55Zen9XPeeedtcJtMn8dq1aolp0yZktPYI0eOTOvn4YcfzmrbqlxBp2RlmfJUqshGyf0s7Wnlr7/+Om3qtFatWiWXLFmS07irVq3KOBVCaVUTMlURKMv5/uijj07po0GDBuX+LspGaRV0kslk8q677kpZZ6uttsrY1+LFi5P169dPWffll19OWac8FXTKa8GCBWmVsLKZRrMyKuh06dKlTE/Ar1Pec0wymfn8uvfeexdXLvjmm2/SptdIJBJZT8FTUS655JK0OHOpyFJSpuv/fL4qS8lzSrYVoyqqgs7KlSuTbdu2Telr4MCBZeormUwmTz/99JS+9t9//zL3lY099tgjZbxmzZplVfFvndNOOy3tszJ16tT1rl+y+ku3bt0qYjfyJpsKOslkMvnxxx+nfUd37Nhxg78LlKWCzjXXXJO2zdlnn53zfmWq0LXDDjuUul2mz3qulT7nz5+f9rM666yzct6H8sj094l8vbKtoFMRSk4hdvvtt2e1XcmYy1pBJ9N00ZdffnmZ+kom0z8jZT23lqxO2qlTpzLHBABA9jI/tgEAUCBNmzZNa/txtYwNueuuu1KWa9asGSeddNIGt6lTp04cf/zxKW3rnjLeGJXcx4gfnsYtzamnnpqyvHz58hg2bFjO4zdp0iRGjBgR9913X2y55ZY5bZtMJmPMmDFx+umnR9euXWPo0KE5j0/2Mn1uylN9ojxWrVoVY8aMSWlr06ZN9O3bN+e+fvWrX0X16tVT2kaNGpVzPwceeGDOlW/23HPPtLaSVYE2Rc2bN09Zfv311wsUSWYvv/xyrF27NqXt1FNPjfr16+fUT82aNeOXv/xlWntZjq9M/ZSm5PG1ZMmSmDlzZs795MPxxx8fDRo0KF6ePHlyvPrqq2nrPfzww7F06dLi5S222CL233//yggxK40bN45WrVqltL399tsFiibVoEGDIpFIFDSGP//5z3HQQQeltL3xxhtxySWXxNq1a6Nfv34xe/bslPcvuOCC6N27d2WGmbGyYps2bSo1hqpgq622Slmu7GP9zTffTKsgdMYZZ5S5vyOOOCJl+e23346VK1eWub/SDBo0KGV5/vz5aZU612fZsmXx6KOPprTtu+++scUWW6x3m5LftR999FEsXLgwy2g3Xttvv33a7yozZsyIf//73xU6Tqbv6h9Xo8nWfvvtF9tvv31K20cffZRW4bU09evXj379+uW0TdOmTdM+tz+F68zKUOjz4TPPPJP2u1lFng9feeWVMvWz2WabpSxnW7kYAIDykaADAGxU1k2t8GPZ3LAaO3ZsfPLJJylthx9+eLRo0aLUbTMluGRKhCm0b775Jp5//vmUtp122il23HHHUrft379/Wkn9su5jIpGI/v37x8SJE+Opp56Kk046KefpS7788ss45ZRTYtCgQXm9ufJTlkwm09oKdfN33LhxKVP3REQcddRRUaNG7jPubrbZZrHPPvuktE2aNCnmzZuXUz9lmTaidevWaUkfm8LNs9LstddeKctDhw6N//znPxmPsUJYN/XSjx177LFl6qtkwub6+i9NWY6vTAljG8vx1aBBgzjuuONS2tZNZ/hjJb9XBg4cmNfzTjKZjPfeey9uv/32OPfcc+Ooo46Knj17xh577BE777xzxtf8+fNT+vjyyy/zFl8uDjjggEKHENWqVYuhQ4em3bD729/+Fr/4xS/SbgB269YtrrnmmkqM8AeLFi1Ka8s1Ia8qmjlzZjz66KPx5z//OU444YQ49NBDo3v37rHLLrtkPNbvueeelO0r+1gvmZhbs2bN2GOPPcrcX+fOnVOWV6xYERMnTixzf6U56aST0qYmynTey+Sxxx6LxYsXp7SVTPgpqeR37dKlS+PEE09MO2dVRVdccUXaz/Lqq6+usO+4tWvXxtixY1Pattlmm7REm2yV/L6LyP1aoFu3bmWaqq7ktcDGch2wsZk6dWoMHTo0Lrzwwjj22GOjV69e0a1bt/WeD0s+fFPo82HHjh2jXbt2Ze6v5Plw+vTpKVNVZavk9GFr1qzJ+uEoAADKLve/iAPwk7HffvuV+UkcKKtMf1iqW7duqdtlSjYpWTVmffbee+/YcsstY8qUKcVtI0eOjHnz5qU9zVpI99xzT8YqEdlo3759HHDAAfHSSy8Vt7333nvx0UcfxQ477FCmeGrUqBFHHnlkHHnkkbF27dqYMGFCvP766/Huu+/G+PHjY9KkSWnxlnTPPffEsmXL4uGHHy5TDEOGDImBAweWadtNXabPTVn+cFsRxo0bl9a2++67l7m/PfbYI+X7KZlMxvjx49MqP2xIySdps9W4ceOUCiE/hRsngwYNihEjRhQvJ5PJOOecc+I///lPDBo0KPr06ZNzRa2KVPL4qlmzZuy0005l6qtjx47RsmXLmDNnznr7L02dOnVi8803z3nsTBWuNqbj67TTTku5Of3oo4/Gv/71r+LKOp999lm89dZbxe9Xq1Ytb+fnhQsXxt/+9re4//77Y8aMGeXqq1DnxR9LJBKx8847FzqMiIho1apVDBs2LHr27Fn8HZ5MJuPZZ59NWa9Zs2bx8MMPR82aNSs9xmXLlqW1lbz5X17Tpk2LTp06lbufTp06lfsYfeyxx+I///lPjBkzJmMie7Yq+1jPlNCQqRJdtlatWpXWNnfu3DL3V5omTZpE3759UypOvvDCC/Htt9+mJbGVVDI5qmHDhhmTPn7skEMOic022yy+/fbb4rbnn38+tthiizj55JPj2GOPjR49ehTkM1dem2++eZx//vlx3XXXFbfNmzcvrr322gpJ8ps0aVLKtVlE+a8zSxo3blwcffTRWfdRnuvMH9sYrgMqKiG7vAm7RUVFcdddd8V///vfePfdd8vVV6HPh3Pnzi3X9/6SJUvS2ubOnRtNmjTJqZ9Mvy8uXbo0q7+/AABQdhJ0AICNyvfff5/WVlp1lqVLl8ZDDz2U0tasWbM48sgjsx731FNPjcsuu6x4edWqVXH//ffHb37zm6z7yKdkMhl33313SluNGjXi5JNPzrqPAQMGpCToRPyQ2PSPf/yj3PFVr149dtttt9htt92K25YtWxZjx46N0aNHx6OPPhqfffZZxm0feeSR6NGjR5x33nnljoP/p1mzZmlthboRnekG2rbbblvm/rbbbrusxtiQTD+fbJS8MbZ69eoy9VOV9OnTJ4466qh48sknU9o/+eST+P3vfx+///3vo3379tGjR4/YY489onv37rHbbruVqUJSWZT8v+/UqVO5btZvt912KU86F+rYiti4jq8ePXpE165d4/PPP4+IH757H3744Tj99NMjItK+ow466KBo3759hccxYsSI+PWvf53zdCPrszHc/GzQoEHaU+yFtN9++8WVV14Zf/rTnzK+n0gk4t57740OHTpUcmQ/KJn8m0gk0qoEbgq++eab6N+/f7z88ssV0l9lH+slp0pZvXp1fPDBBxU6Rq7V83I1aNCglASdtWvXxv333x9//OMf17vN9OnT0x5yOf7440v9jNetWzduueWWOPbYY1MSIhYuXBj/+c9/4j//+U/Uq1cvfv7zn8dee+0Ve+21V+yzzz4ZpwfeGF100UXx3//+N6Ui0D//+c8499xzy1VJJOKne505cuTIlN9fs7H77rvHnXfeWabYCmnixIlx8sknx/jx4yukv0KfD5cuXZqX82GuCfOZrtXXrFlTUSEBALAem95fMACAKmvVqlUZE3RKu8H36KOPppWRP/HEE3MqK96/f/+0p/o2pmmuxowZE1OnTk1p69WrV7Ru3TrrPo4++ujiSgfrPPDAAxmfSK4I9erViwMOOCCuvPLKmDhxYjz//PPrLTX/l7/8JeMT8ZRdpgoe8+fPL8gfXTN9rnN9wvPHMt2MynUKiKr4BHohDR06NPr167fe97/66qsYNmxYXHDBBdGtW7do2rRpHH300fHII4/kfRq7ksdXeY6tiPTja+XKlTmdnzblY6vkFC3rknLWrFkT999/f8p7p512WoWP/+CDD8YxxxxTYck5ERtHElSu00RWhosvvjgOPvjgjO/97ne/yykJuqKVfLI/mUzm7VqmUGbOnBn77bdfhSXnRFT+Tdd8J89ERN6nYunZs2daIlrJ6jgl3XvvvWkVR0qb3mqdo48+Oh544IH1Ttm2bNmyeOmll+Lqq6+OPn36RIsWLWL33XeP6667Lr766qusxiiUJk2axMUXX5zStnz58hg8eHC5+/6pXmfOnz8/Pvjgg5xeP64YW1V8/PHHsd9++1VYck5E5X73L1++vFKmjSrLGJm22ZgShgEANlUSdAAomExP66xYsaLc/Wb6I0P16tXL3S/5N378+Iw3D7bYYosNblee6a3W6dSpU+y3334pbR9//HG88847OfWTLxWxj/Xr149jjz02pW3evHlpVTHy5ZBDDol33303DjvssLT3Zs+eHSNHjqyUOH4qtt5667S2VatWxYcffljpsZRMoIuI9d58ykambTONQcWpV69eDB06NF544YXYf//9S52mYMmSJTF8+PA44YQTokuXLnH77bdX2BQJJZX8vy/PsbW+7R1fPxgwYEDKNdWbb74Zn3/+eTz77LPx3XffFbc3a9YsjjrqqAode+rUqXHaaaelVU+pWbNm9O3bN2666aZ48cUXY9KkSTF//vxYunRpFBUVRTKZTHl17NixQuOqCJVVbSoXS5YsiWnTpmV878fV8goh02e0Mm5+VqaBAwdmvJG+8847x8UXXxzDhw+PcePGxXfffReLFi2KVatWpR3rFZH4UB6ZkiaqmmrVqsWAAQNS2iZOnBhjx47NuH4ymYx77703pa1r166x9957Zz1mv379YtKkSXH22WdHw4YNN7huUVFRvP/++3HRRRdFly5d4owzzkiZonFjc95552VMeJo4cWK5+nWduelavXp1HH/88RmP6x49esTll18eTz/9dHzwwQcxe/bsWLx4caxZsybtfFjyc1yZNuZzYabvzvJeRwMAUDoJOgAUTKan2jLNpZ2rTH1UldLfP3VvvfVWWlujRo2iS5cu691m0qRJ8frrr6e1d+vWLRKJRE6vkuXoI9Kn7CiEhQsXxuOPP57WfuKJJ+a8j5me+q3Mfaxbt2489NBD0aJFi7T3Sk6/Rfl06NAh48+5EElnmW4wLV26tMz9Zdq2tJtYVIxevXrF6NGjY9q0aXHLLbfEcccdF23btt3gNjNnzowzzzwz+vTpk5cqFyX/78tzbK1ve8fXDzbbbLM49NBDU9ruvvvutCTSfv36Re3atSt07IsuuiitGtOhhx4aM2bMiCeeeCJ+85vfRM+ePaNr167RtGnTqFevXsZEsk0tkSNfzjjjjPVWWjjzzDPjiy++qOSI/p9WrVqlteVa3WJj9swzz8SLL76Y0taqVat44YUXYvz48XH11VfHUUcdFbvssku0bt06GjZsmLFaR6GP9ZKVjlq3bp1207y8r4EDB+Z9PwYOHJh2LhkyZEjGdV955ZW0xLZsq+f8WLt27eLf//53zJo1K5544ok499xzY6eddtrgQyerV6+Ou+66K3bccccYN25czmNWhtq1a8eVV16Z0rZ27dq0yjq5cp256brjjjvSEri6dOkS7777brz22msxePDgOOKII2LHHXeMli1bRoMGDTJ+Tgp5Pix5LoyI2GuvvSr8fLj//vvnHFvJ785mzZp5uA0AoBJI0AGgYDIlzSxYsKDc/WbqQ4JO1VDyZkRERPfu3TdYqSHfySXDhg0r+NRLDz74YF7/qDhq1KhKLYvfqFGjjDdUJk2aVGkx/FRk+kNtRU6Xka2KPt9n2rZZs2Zl7u+npiLK+nfs2DHOOeeceOSRR2LmzJkxY8aMeOCBB+JXv/pVxunVIiKeeuqpOOecc8o9dkklj6/yXkuU3L527drK/f9Ipmmunn322Q2uU15Lly6Np556KqVt1113jZEjR8Zmm22WU18b85PsG4v//Oc/8cgjj6z3/YULF8bxxx+f9+nr1idTFaSvv/66AJHkx7Bhw1KWq1evHk899VT06tUrp34KnbRUMkm4qn72tthii7Qqmw8//HDGyq8lE+GrV6+ec8XLH6tbt2707ds3/vWvf8WECRNiwYIFMWrUqBg8eHDstddeUa1a+p91v/vuuzjiiCMqZYqxsujfv3/ssMMOKW0jRoyIN954o8x9/lSvMwcOHJhzEkemB1I2ZiXPhw0bNowXX3wxdt9995z6KeT5sEmTJmmV8gp9fl6n5HfnxlhlEABgUyRBB4CCyVTZ4bPPPit3v5lKZGcai43L5MmT47nnnktr792793q3WbNmTdx33335DCsWLVoUjz32WF7HKE2m6a0qUlFR0XqfBM6XPffcM61t7ty5lRrDT8EvfvGLtLYnn3wyZs2aValxtGzZMq2tPNMZfPrpp2ltm/p5PlN1hLIm2uTjpkCHDh3i5JNPjttvvz2++uqrGD16dMabyXfddVd88sknFTp2yeNr2rRp5UocKHl8berHVq5+8YtfpPxM5syZkzI95U477RS77rprhY756quvpv2fXnzxxRk/Fxvy1VdfVUiC2qZs/PjxccEFF6S01a9fP3r06JHS9v7778fvfve7ygytWKapTzelBJ1Ro0alLB966KEZr5tKU8gqRxE/VMz5sVWrVsW3335boGjKp2TS4YIFC2L48OEpbUuWLEmreHnIIYeUWmUuFw0aNIiDDjooLr/88nj77bdjxowZcfHFF0edOnVS1vvuu+/i+uuvr7BxK1K1atXi2muvTWv/4x//WOY+XWdumpYsWZJWYffUU0+NTp065dxXIc+HiUQi7RidOXNmxqm9K1NRUVHK9KQREZ07dy5QNAAAPy0SdAAomEw3bz788MNy9/vxxx+nte22227l7pf8uummm6KoqCilrXbt2nHcccetd5tnnnkm7Y9Kbdq0iZ122qlcr5LynSCzIR988EG8//77KW3NmjUr9z7WqlUrpc8hQ4ZEMpmstP1q3LhxWlvJJwspv6OPPjrtZ7169eq48847KzWOTOf79957r8z9vfvuuynLiUSiwhMCNjaNGjVKa1u0aFHO/Xz99dcZn/qvaPvvv3+88MIL8atf/SqlPZlMpt3ULK+S//dr1qyJCRMmlKmvL7/8MmbPnp3S5hoiVc2aNeOUU05Z7/unnXZahY+ZqcrbPvvsk3M/mabS5P9ZtGhRHHfccWnJUP/5z39i+PDhadWx/v3vfxckiXnHHXdMa9tUqvCtXLky7RxUlmN97dq1BZnS8sf22muvtLZXX321AJGU37HHHps2xVHJajmPPPJI2tRIFV1NrKTNN988rr766vjf//6XNi1NpulxNxaHH354WpXHN998M5588sky9de1a9do0KBBSltFXmdGuBYohG+++Sbt7wNlOR/OmjWr4AmLJc+Hy5YtS/sdv7JNmTIlLUko099CAACoeBJ0ACiYvffeO63tueeeK3eSwNNPP53VWGw8Ro0aFbfffnta+8knn5zxich1MiXODBkyJCZMmFCuV8mnlF999dWYMmVK+Xe0DDLt41//+tdy7+NRRx2V0uf06dPjpZdeqqS9iowVXEo+aU351a9fP375y1+mtV933XUxbdq0Sotj1113TXu6+8knn4y1a9fm3NesWbPitddeS2nbeuutN8qpBypSkyZN0trKcrNhzJgxFRBN9q6++uq0m4YVkYz7Y927d09rK2vSwKOPPppV/z9160vCqVWrVpx88skVPl6mCmtl+cw//PDDZRo/UwJpWc5fG7szzjgjpk6dmtI2aNCgOPXUU6NFixYxbNiwtJ/FGWecUek3Prt06ZL2///RRx9Vagz5kmlaorIc688++2wsWbKkTDGU/D8u67F+8MEHp7U98cQTZeqr0OrVqxcnnHBCStuLL76YUrmpZDXK5s2bZ6xkmA/77LNPWtXRqVOnFnya3g257rrr0touueSSMh1v1atXT/v97bPPPitzxT7XAhuHivru39CUjaUpeQ27KZ0PP/jgg7S2PfbYowCRAAD89EjQAaBgdtttt7SKAF9//XWMHj26zH1OmTIl7eno6tWrx7777lvmPsmvL774Ik466aS0p+Pq1asXV1xxxXq3+/bbb+PZZ59NaWvdunXGP37lKlNlgLvvvrvc/eZq5cqVMXTo0JS2WrVqxfHHH1/uvgu9jy+//HJaW5cuXSpt/J+Siy66KK2KzuLFi2PAgAFpn7vyKCoqin/84x8Z36tZs2YccMABKW3fffddmZ6UvuOOO9Ke9sw0ldKmpl27dlG/fv2UtrJUR7jjjjsqKqSsNG/ePC3RcuHChRU6Rs+ePdNuoNx///1plQxKs2bNmvjvf/+b1v5TOL5ytcMOO8Tuu++e1t6nT59o3rx5hY9X8tiPyH1axKlTp8aIESPKNH7JyhkRUebkh43VLbfcknZT+mc/+1nccsstxcs9evSIq666KmWdhQsXxvHHH1+uaeXKomQ1gkw3GquiijjWIyL+/ve/lzmGksd7WY/1/fbbL+364/HHH4/JkyeXObZCKlkNp6ioqHiq3SlTpsTrr7+e8v7JJ5+cVrEyn7bZZpu0tor+vq1Ie+65Zxx77LEpbRMnTizz7yOHHHJIWtttt92Wcz+vvfZaWkXeHXfc0YMEBVAR58PVq1fHv/71rzLHUFHnwyOOOCLtWvW2226LBQsWlDW0civ5vZlIJCToAABUEgk6ABRM7dq1M1Z2+MMf/lDmJ5MuuOCCtLZjjjkm2rZtW6b+yK+nnnoq9thjj4xPC1933XVpUyn82L333pt2nJx00klpf/gqixNPPDHt6eFM4+Xb8OHDY/78+Slthx9+eIVUCjn00EOjRYsWaeN9//33Gdd/6qmnKqziytSpUzM+yXjEEUdUSP+kat68edx0001p7a+99lqF3VT97rvv4rDDDltvgk5ExDnnnJPW9vvf/z6np7tnzJgR1157bUpbIpGIc889N+s+qqpq1arFLrvsktL27LPP5nTzbeTIkZU+vciKFSvSzisbqoxWFm3bto2+ffumtM2aNWuDSZ6Z/OMf/0ibJmfvvfdO+7nzg5dffjm+/fbblFfJKV8qymabbZbW9r///S/r7YuKiuK0004r8/d406ZN09oKPV1GRXr//ffjd7/7XUpb/fr149FHH4169eqltF944YVx2GGHlbp9vpVMnJs6dWp8++23lRpDPjRu3DjtZ57LsR4Rceedd8Yrr7xS5hhKHu9lPdbr168fv/3tb1Pa1q5dG6ecckqlJ3RVhO7du8fWW2+d0rbunJfp3Jfv6a1KKnn8JxKJtGv9jc3VV1+d9jvX5ZdfHsuXL8+5r9NOOy2tWuNtt92WU9W+NWvWxHnnnZfWnqmN/Cvvd39ExBVXXFGupMCKOh927Ngx+vfvn9K2aNGiGDRoUKVOM/1jJSuS7rbbbhv9OQMAYFMhQQeAgjr//POjZs2aKW3jxo2Ls846K+fKDldeeWU89dRTae2///3vyxUjFe+9996L/v37xy9+8Yu0BJSIiAEDBpR6wz3T05WZqsKURcuWLdOewvzmm2/iueeeq5D+s5VpequK2seaNWumlepfsWJFWsWedZ555pno2rVrDBo0KD777LMyj/vNN99E375905IyWrZsWSHVj8hs0KBB0a9fv7T2xx9/PHr16lXm5Ku1a9fG7bffHj/72c9K/YP54YcfnvZ09/Tp06Nfv35pFXEy+f7776NPnz5px07v3r1jq622yj34KqjkTfFly5bFpZdemtW2H374YZluFk6ZMiWuuuqqmDNnTs7bRkTcfvvtaTdid9pppzL1tSElbwJHRNx4443x0EMPZbX9888/H3/605/S2is76aAqadiwYbRp0yblVTKxoKLss88+aW1/+ctfYtGiRaVuW1RUFL/+9a/LlZzWvn37tEogJav4VVXrKuCsWrUqpf3WW2/NWJEjkUjEfffdl5ZE/e9//7vMU8uVxeGHH57WVp4qnBuTHj16pCy/8sorWR9vzz//fPzf//1fucbfYYcdUpY//vjj+Oqrr8rU129/+9u0G77vvPNOHHvssWWu7jJ79uy49NJLY9SoUWXavjxKfo9Onjw5Xn311eJKOuvsvPPOsfPOO+fU9+WXXx5jx44tU1xfffVVDB8+PKVt2223Tfs9e2Oz1VZbpT2w880338Sbb76Zc18tWrSIU089NaVtzZo1ccwxx2SVvJdMJuOMM85IqyrSqlWrCvv9i9y0atUqunbtmtI2dOjQrCumDRkyJK655ppyxVDyfDhmzJicKzSuc9lll0Xt2rVT2p588sn41a9+VeakxenTp8d5552XVvWpNMuXL4+33347pS3T9yoAAPkhQQeAgmrfvn1aqfyIiP/+979x8MEHx/vvv19qH5MnT47jjz8+Bg8enPbeeeedp0zvRmDOnDnxzDPPxGWXXRbdunWLPfbYIx544IGM6w4cODBjYsqPvfrqq2lPwm277bax2267VVjMmf4QW1pcFWn69Onx0ksvpbQ1adIkjjzyyAobI9d9XLNmTdxzzz2x7bbbRrdu3eKWW27J+mn1ZcuWxW233Ra77LJLfPTRR2nv33DDDWlPvVKx7r777jjwwAPT2l999dXYZptt4rzzzsv6CdNZs2bFP//5z+jatWuceeaZGatglZRIJOKuu+5Kq3I1YsSI6NWrV0yZMmW9244dOzZ69OiR9gf5Jk2alKtsfVUzcODAtJ/fLbfcEoMHD15vktPatWvjzjvvjB49esT8+fMjkUjkNOXGkiVL4rLLLosOHTrEKaecEsOHD8/qyfZVq1bF3/72t/jDH/6Q0l69evU48cQTsx4/W927d4+zzjorpa2oqCj69+8fl19+eVrywTpr166NG2+8Mfr27Zu2Tt++fdMq81AYm222WVrSwpQpU+KQQw6JGTNmrHe7SZMmxaGHHhp33nlnRETUqFGjTElEiUQifv7zn6e0vfjii3HxxRfH7Nmzc+5vY3LaaaelVQQ47bTT0p70/7EWLVrEsGHD0ipfnHHGGZVWWahr166x7bbbprS9+OKLlTJ2vmWayvSEE07YYALU8uXL48orr4w+ffoUn6NLTiWcre7du6csFxUVxXHHHRfvvfdezn01atQoHnroobRj5emnn47ddtsthg4dmlWS7ooVK2LEiBFxyimnRMeOHeOvf/1rQaZv6t+/f9r38JlnnpmWwHTaaafl3PeTTz4Z3bp1i27dusU///nP+PLLL7Pa7s0334wDDzwwLWGxqiSVDB48OBo0aFAhfV1zzTXRrl27lLYpU6bE3nvvvcHzw8yZM6NPnz5x7733pr13xx13+B2lgEqeD1evXh2HHnroBquELViwIM4///w4/fTTix/6qqjz4cKFC+OEE06IiRMn5txX586d4/bbb09rv/POO6Nbt27x9NNPZ1VNZ/HixfHggw/GUUcdFVtuuWXccsstsWLFipxiee2119Kue/v06ZNTHwAAlF2N0lcBgPz64x//GG+++WaMHDkypf3ll1+O3XffPXbcccc44IADYsstt4xmzZpF9erVY/78+TFjxox45ZVX4r333ss4ZUG3bt3ixhtvLHd8hx9+eE43MzNp2LBhWgnh9cn1actMtt5663j44YfL3U9p3nvvvfXGu3Tp0liwYEEsXLgwVq9eXWpf9evXj+uuuy7jNDgl5bOyzDp9+vSJhg0bxuLFi4vbnnnmmZg9e3a0atWqQsfKZMiQIWl/oDvuuOPSnrorj27dusWWW26ZkhgxYcKEGD9+fKlTuowdOzbGjh0b5513XnTq1Cn22muv2G677aJFixbRvHnzSCQSsWjRopgxY0Z88MEH8fLLL6/3acPjjz8+BgwYUKZ9uOyyyzY4rVIuJkyYUCH9bKxq164dzzzzTJx44okxYsSIlPdWrVoVt9xyS9xyyy3RuXPnOOigg6JTp07RokWLaNasWaxatSrmzp0bkydPjrfffjvGjx9fpqliunfvHoMHD47LLrsspX306NGx3XbbRc+ePePAAw+Mdu3axdq1a+Orr76KZ599Nt588820z0MikYjbb789OnTokPsPo4pq27ZtnHfeeWnH/JVXXhlDhw6NY445JrbddtuoV69ezJs3Lz766KN45plnUm7yXXjhhTFs2LANJjVksq7C1tChQ6Nu3bqx8847xy677BJbbbVVNGnSJBo2bBgrV66M7777Lj744IN4/vnnMyYuXHTRRdG+ffsy7X9pbrzxxnjttddSniJes2ZNXHHFFXHrrbdG3759Y8cdd4wWLVrE999/H59++mk88cQT8fXXX6f11b59++KkDjYOV1xxRfTs2TOl7e23346uXbtGnz59okePHtGmTZtYsWJFzJw5M0aNGhWvvfZays3/yy67LO66666cj/+IH264P//88ylt1157bVx77bWx2WabRbNmzdKSEH7xi1/ElVdemfNYleXmm2+OJ554IqVthx12iFtuuaXUbXv06BFXXXVVXHzxxcVt66rxvPHGGxV6vbI+p5xySkrlq5EjR8aaNWvS/h+qmlNPPTWuueaamDp1anHbkiVL4rjjjotdd901evfuHVtuuWXUrFkzZs+eHe+//348/fTTKcmy22+/fRx55JFx3XXX5Tx+nz59olmzZilVLseOHRt77LFHNGzYMNq2bZsxYWF911E9e/aMm2++Oc4+++yU9qlTp8Ypp5wSv/vd72L//feP3XbbLVq2bBkNGjSIxYsXx4IFC+KLL76I999/PyZMmFCmaY8qWtu2beOQQw5JqWhU8kZ9rVq1MlYtzNa6a+zf/OY3sfXWW8fOO+8cO+ywQ7Rs2TKaNGkSET8kIHz++ecxevToGDduXFofW221VZx//vlljqEytW7dOi644IIKOVc2a9Ys7r///ujVq1fKuX/atGlx8MEHF39+OnXqFHXq1Ilvv/02Xn311Xj++eczJjicc845khYK7Le//W3ccsstsWDBguK27777Lg444IDYd99945BDDolOnTpFIpGI7777Lt5666147rnnYsmSJcXr9+zZM9q1a5dW6Sobp556alx66aUpx9MzzzwTzzzzTDRt2jRat26d9n3Xtm3b9VY9GzBgQEycODHt3DxhwoTo3bt3dOjQIQ444IDYaaedonnz5lGvXr1YuHBh8Wf+/fffj48++mi9iefZevzxx1OWt99++9h1113L1ScAADlIAkAymZw2bVoyIlJe++23X6WNv3z58uSgQYPSYijrq3fv3skFCxbkHMd+++1XYTH8+NW4ceOM43Xs2DEv4+20007l+w/JINMxUhGvWrVqJQcOHJj86quvsopj4cKFyXr16qX0kUgkktOnT6/wfR44cGBavDfccENW244ePbrMn6m1a9cmO3TokLb9mDFjyrE3mV1++eVp45xzzjlp6/3617/Oy///gAEDkmvWrMkq1sGDB+clhnWv8spHn/lQVFSUvOGGG5J16tSp0J9f27Ztk/fcc09WMVxxxRXlGqtmzZrJBx54IOt9zvR5HD16dJl+fiXP2wMGDMhqu5LfL2X9jl26dGly++23L9PP7YQTTkiuXbs2p30YP358hR0jJ5xwQnLVqlWl7mPJ7QYPHpz1z2f27NnJPffcs1xxbrvttskZM2ZkPeaAAQNStu/YsWPW2/5YRR6nuSh5bFavXj2v43311Vdp+5nt5+iiiy4q8//rKaeckiwqKirzZ3jt2rXJnj175jTm+vquqGPmx3I9x7zzzjvJWrVqpWxTv3795MSJE7Mes6ioKHnYYYel7Xem64h8mDFjRjKRSKSMPWrUqJz7yXT9P23atAqJMdO1fjbGjRuXdr2b7atdu3bJadOmZbxuytY999yT87ileeyxx5INGzYs1/n5x69HH3006/2pSI899tgG4zr22GPL1O9OO+1UIT+XzTffPPnxxx9X8F6nK3kei4isf58radGiRclWrVqV6/j6sWeeeSZZv379cv0czzvvvOTatWuzHrPk9rlcu/xYPr4fclHWc1Y2Svab7b4988wzyerVq5fp//FnP/tZcv78+eX6uWb6fXlDr2z6vuWWW9K+g8vzevfdd7Pen7Vr16Z93q677rqstwcAoPxMcQXARqFOnTpx9913x913312uJ+tbtGgRN9xwQ4wYMSIaN25cgRFSkRKJROy+++5x7bXXxvTp02PIkCGx+eabZ7XtsGHDYtmyZSltPXr0iI4dO1Z4nIWa5mrUqFFpZe07duwY++yzT4WPlWkfhw4dmvYUaf/+/ePkk08ufnK3vLbYYosYMWJE3HPPPWlTBZBfiUQifv/738fEiRPj5JNPLnelgXbt2sVf//rXmDx5ctaVkC677LIYNmxYtG3bNufxtttuuxg1alScfPLJOW+7KahXr16MGTMm9txzz6y3Wfd//uCDD0a1arn9ClivXr1o2LBhrmGmaNCgQVxzzTUxbNiwqFmzZrn6Kk3Lli1j9OjRceaZZ+Z8bCcSiejXr1+88cYbP6nKTFXJ1VdfHZdeemkkEomst6levXpccsklce+99+a0XUnVqlWLxx57rFyVMTYWCxYsiBNOOCHtCfzbbrstttlmm6z7SSQScd9996Vdw/373//e4HRMFaVDhw5xxBFHpLQNHTo07+NWhl122SVeeOGF2GyzzXLarlu3bvH2229Hp06dyjX+gAED4s477yz3+f/HjjnmmHjvvffKPV1rjRo14sgjj4wdd9yxgiLLTe/evaN58+brfb8s01tFRLRp06asIRXr3bt3vP3227H99tuXu6/K1LBhw/jzn/9cYf0dfvjh8eqrr8buu++e87bNmzePW2+9NW6++eacr5nIj8MPPzweffTRnKepOvLII+O1116Lpk2blmv8P//5z/HXv/613FWVf+ycc86J1157LW36zlzVrVs3TjzxxJyuW1988cWUKpe1a9eOgQMHlisOAABy4zcNADYqgwYNiqlTp8Y999wTvXr1yuqPwnXq1Il99903br755pgxY0b8/ve/L9cNGMqvWrVqUbdu3WjatGlsueWWsffee8fJJ58cV155ZYwcOTLmzp0b7777blx44YU533iojOmt1jnggAOiXbt2KW2fffZZvPnmm3kZb51M+9ivX7+8HNddunSJn//85yltCxYsSJvyYu+9944HHnggZs+eHS+99FJcdtllceCBB0aDBg2yHqt169Zx8sknxzPPPBOTJk2KX/ziFxWyD5RNp06d4oEHHojp06fHddddFz//+c+zTp7o0qVLDBo0qDiZ7JJLLol69erlNP6JJ54YU6ZMieuvvz522WWXDR7fNWrUiB49esSdd94ZH374Yey33345jbWpad68ebzxxhtx6623RpcuXda7XvXq1eOwww6LN954I2644YYy3Wjq2rVrzJ07N/73v//FBRdcEHvttVfWNyi23XbbuOKKK2Ly5Mlx0UUXVdp3c7169eLWW2+Njz/+OE477bRSb3o2a9YsTjrppHj//fdj6NCh5b6RQ/4kEom46qqr4vXXX4/DDjtsg8d0vXr1ol+/fvH+++/HX//61wq50dqkSZMYOnRofPbZZ3H55ZfHkUceGV26dImmTZvmPfmsIg0aNCimTZuW0nb66aeX6XqqRYsWMWzYsLSEuDPOOCO++OKLcsWZjQsuuCBl+ZFHHomFCxfmfdzK0KNHj/jggw/ij3/8Y6kJ0rvvvnvce++98cYbb2Sd9F6a008/PWbOnBlDhgyJ/v37xy677BKtWrWKunXrlrnPrl27xlNPPRUffPBB/PKXv4zOnTtntV3z5s3j2GOPjdtvvz1mzpwZTz31VHTt2rXMcZRHrVq11psk3LZt2+jVq1eZ+n3++efj008/jb/97W9x5JFHRosWLbLarnHjxjFgwIAYM2ZMjBw5Mu13l6ri17/+9QavaXK16667xjvvvBMPP/xwHHTQQaVOu7fddtvFZZddFlOnTo0zzzyzwuKgYvTt2zc+/PDD+PWvf73Bc1C1atVi//33jxEjRsRTTz1VIQ+XVKtWLS655JKYOXNm3HLLLXHCCSfEz372s2jRokXG6f6yteeee8Zrr70Wr732Wpx88slZP7jQtm3b6N+/f9x3333x7bffxrBhw3KagvuOO+5IWT7llFMqZQpvAAD+n0QymUwWOggAWJ+1a9fGBx98ENOmTYv58+fH999/H0VFRdG0adNo2rRptG/fPnbbbbcKfZoJyF4ymYyZM2fG5MmT48svv4xFixbF4sWLI5FIRKNGjaJhw4ax2WabxY477hitW7cudLiUYuXKlfHxxx/HF198Ed9++20sXbo0ioqKokmTJtGkSZNo06ZN7LrrrnlJYJg1a1a8++67MXv27JgzZ05Ur149WrZsGW3atIlu3bqpirYBn3/+ebz//vsxe/bsWLx4cTRs2DC6dOkS3bt3j2bNmlX4eCtXrowpU6bE1KlT45tvvonFixfHypUr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9euvv+rWrVsW644fPz7bQqjQ0FB9/vnn+u2333T58uVM7/P29laXLl30+uuvq3nz5lmuaasVK1ZoxowZ2rhxo27cuJHlvVWqVFHXrl316KOPql27dlnem93PLTvHjx/XV199pZ9//jnLn8ltnp6eatq0qbp3766BAweqVq1aWd4fEhJicbza6dOnFRgYaHOOty1cuFDfffedNm/ebPU5cFu9evU0cOBAvfTSSypVqpTd+2QsgBk/fnx6Z6S0tDTNmjVL06ZN08GDB63Od3Z2VseOHfX++++rZcuWdu9f2AQFBVkUQkVFReVorePHj+vTTz/V6tWrs+zg6OHhoQ4dOuill15S165dc7RXRps3b9b//vc//fHHH1Y/n+7k7++vzp0765FHHlH37t1tKlg6fvy4lixZog0bNmjbtm2Kj4/P8n4fHx916dJFr7zyilq0aGHXYymKFi1apHPnzhliTk5O+uqrr/I9l9y+b94WHh5uUcwzc+ZMjRo1Kst5o0aNMhwTW7VqVcNRwqtXr9a0adO0YcMGQ8F/xj3q169veB/y9fXV+fPnc1S8ftv8+fM1dOhQQ+zLL7/UM888Y9P8lJQUhYSEaN68edq6dauSkpIyvTcoKEiDBw/WK6+8orJly+Y4ZwAAABRvd88/HwEAAAAAQNLYsWPl7OxsiCUlJWnBggV2r3X69GmLo34GDBigkiVLpo+tHR03Y8YMu/cqKHFxcfr5558NsTZt2qh69erp40ceecSi20tOH6O1bh65OboQRY+Pj4/V+PXr121eIzk5Wc8++6zatGmjpUuXZlkAk5mIiAg99NBDCg4O1pw5c7It+ImNjdWSJUvUokULPfTQQ3blm9HGjRvVpEkT9evXT8uXL8+2CEqSzpw5o++//17t27fX888/n+O9s2I2m/Xuu++qfv36+vzzz20qgpL+KWTbsmWL3n77bbVv3z5Pcsto3759at68uQYPHqx169Zl+xw4dOiQJk6cqKCgIH3zzTcOy+P8+fNq27atRo8enWkRlPRPN6Dff/9drVq10ttvv+2w/QvKnZ+Dt8XExNi1RnR0tJ544gnVrVtXX3/9dbafBYmJiVq7dq26deumjh07WhTQ2OPAgQPq1KmTOnTooPnz52dbBCVJly9f1ty5c9WrVy/1798/y3ujo6PVpEkT1a5dW2+++aZ+++23bIugJOnGjRtatGiRWrZsqf79++fqfaYomDlzpkWsV69eOSqKLK7i4uI0cOBA9ezZU+vXr7daBHWnjEWmV65c0apVq3KVQ8a/J3d3dz3yyCM2zV22bJnq1KmjMWPG6I8//siyCEqSTp48qY8++kjVqlUrkII4AAAAFA0UQgEAAAAA7irVqlVTnz59LOK//PKL3WvNnDnTohvAnZ2SJKlx48aqX7++ITZ37lwlJibavV9BWLBggeLi4gyxjI/Rz89PPXr0MMTWrFmjCxcu2L2fta5cOSlSQ9GVWdFP6dKlbZqfmpqqgQMH6quvvspRtw5J+vPPP9W8eXMtWbIkR/OXLFmili1b6sSJE3bPnT59ujp37qx9+/blaG/J/oITW40cOVLvv/9+tl9UF7Q1a9aoXbt22r17t91zo6Ki9NRTT+mFF15QWlparvI4deqUWrRooR07dtg178MPP9Q777yTq70LmrUCHW9vb5vnHz9+XC1bttQPP/yQbWGHNZs2bVJwcHCOngM///yzWrdurY0bN9o997bsXoOxsbG5eo1L0vLly9W8efNcFXwVZjdu3NDmzZst4v/6178KIJvCKT4+Xg888IAWL15s85zhw4dbdH+yVnBmq3Pnzmn9+vWGWP/+/bM96tNsNmv8+PEaMGBAjj4rY2Ji9Oyzz+pf//pXjt4jAAAAULxxNB4AAAAA4K7zwAMPaNmyZYbYn3/+KbPZbHG8UWbS0tIUEhJiiFWqVEkPPPCAxb2PPvqoXn311fTx9evXtWTJEpv/tXxByngsnoeHhwYPHmxx36OPPqqVK1emj1NTUxUSEqK33nrLrv1at26tb7/91hBbv369vvjiCz333HN2rYWiKeNxWtI/R6tlPBYvM+PGjdOKFSvSx2XLllWPHj0UHBwsPz8/3bx5U+fOndPq1autvt43btyoHj16WBQrOjk5qV27dmrdurWqVaum0qVLp6+1adMm/f7774YvY48dO6aePXsqNDTU5qPW3nrrLX300UdWr9WoUUNdu3ZV7dq15evrK7PZrGvXrun48eMKDQ3Vrl27lJKSYtM+OTFr1izNmTPHIu7r66tu3bqpfv36qlixokqUKKGbN28qNjZWp0+f1qFDh7Rjxw5du3Ytz3K704YNG9SnTx+rP4tGjRqpT58+CgwMVIkSJXTx4kVt2rRJa9eutegY9fnnnys1NVVffvlljvKIjY1Vjx49dP78eUn/HJ3XunVrde7cWVWqVFHJkiV15coVbdu2TUuXLrV4vn388cfq06dPkT3+7K+//rKIBQUF2TT38OHDatu2rdXnTPPmzdWmTRvVrl1bZcqUUVJSki5evKjt27dr9erVhr/HS5cuqWfPntq7d68CAgJs2vubb77RU089ZfVapUqV1LVrV9WvX1++vr5ydXXVtWvXdOrUKYWGhmrHjh05LnIuWbKkgoODVadOHdWsWVM+Pj7y9vZWUlKSrl27psOHD2vDhg06cuSIYV5YWJgefvhhbdq0yaIzY1G3detWJScnG2JOTk7q0KFDAWVU+Dz55JPatWtX+rhixYrq1auX6tevLz8/P8XExCgiIsLwmejn56devXoZfg/+9ddfFRkZKT8/P7tzmD17tkXRaMauU9b8+9//ttp9r2zZsurSpYuaNm0qPz8/eXp66vr16zp06JDWrFmjY8eOGe7/9ttvVbp0aU2ePNnu3AEAAFCMmQEAAAAgH50+fdosyfCnQ4cOebpn1apVLfY8ffq0Q9bOuK6t/zOrQ4cOeZaTNdZ+BoVVfjxHQkNDrf7dHTt2zOY1Vq9ebTH/9ddft3rvhQsXzM7OzoZ777//foc8lg0bNuTZz+vIkSMWaz/88MNW701MTDSXKVPGcG+NGjXs3jMyMtJcokQJq38/ffr0MW/ZsiW3Dytb48ePt9h75syZeb6vrXL6vpPXZs6caZHX+PHj7V6nb9++Fuu0adPG6r3W/q5uv9acnZ3N7777rjkuLi7TvW7evGkYX7x40ezv72+x5mOPPWaOiIjIMu8TJ06Yu3XrZjF34MCBNj3uhQsXWv27bdSokXnt2rXZzo+KijJ/99135gYNGphHjhyZ5b3Wfm7ZqVGjhsXPecqUKebExMRs56akpJi3bt1qfvLJJ81BQUHZ3m/tuWTLZ2RUVJS5UqVKFnOrVKliXr16dabzzp49a+7Vq5fVn/+yZcuy3ddstnxdenh4pP/3Fi1amPfs2ZPp3NOnT5ubNGlisUa3bt1s2tuRHPH7ws6dO63+LPfu3Zvt3Li4OHPdunUt5vbu3dt8+PDhLOdevHjRPHz4cIu5zZs3N6empma79/bt281ubm4W86tXr26eP3++OS0tLcv5MTEx5p9++sncpk2bbD+HT58+bS5durT52WefNW/cuNGclJSUbX5ms9m8bds2c7NmzSxynDp1qk3zzWbL30Ft/Z0hp/NyatKkSRaP87777svTPbOSk/dNa6z9nmvL7xgjR460+lknyVyiRAnz9OnTs3we3fl5t3z5coscPvnkkxw9npo1axrWqVy5cravtxkzZljsX7ZsWfM333xj8bl8p7S0NPOSJUvMfn5+FvNXrlyZo/wBAABQPHE0HgAAAADgrtOwYUOLY0Gkf44xslXGTknSP8dGWVOhQgV17drVENuwYYNOnz5t834FwZ7H6O7uriFDhhhiJ06c0KZNm+za09fXV88++6zVaytXrlS7du1UuXJljR49Wt99950OHDiQp11wkL+2bt1q6Cx2W7du3WxeIzU1VU5OTpo3b54mTZokLy+vTO/18PAwjEePHq3Lly+nj52dnTV37lzNmDFDVapUyXLfoKAgrV692qITxqJFiwwdO6y5cuWKRo8ebREfPHiw/vzzT4v3D2vKlSunJ554QgcOHNDEiROzvd8ehw4dsji66N1339Wrr74qd3f3bOc7OzurTZs2+uabb6x2CnKUN998M70D023VqlXTtm3b1L1790znVa5cWStXrtTw4cMtro0ZM0Y3b960O5fbnYF69+6tjRs3qkmTJpneGxgYqHXr1snf398QX7dunc6cOWP33gUpJSVFr732mkW8bt26aty4cbbzX331VR0+fNgQmzx5slauXKk6depkOfeee+7RnDlzNH78eEN8165dWrRoUZZzk5KSNGTIEItjHzt06KA9e/bo4YcfzrZjpLe3t4YOHaqtW7dadIzMqGLFirpw4YK++OILdejQwervJNa0bt1aW7ZssXg+f/7558XuszBj5x9JatasWQFkUjjd7kDo5eWlNWvW6IUXXsjyeXTn513Pnj0t3m+ye85as23bNoWFhRliI0eOlJNT5l87hYeHW/yeV6tWLR04cEBPPvmkxefynUwmkwYMGKDQ0FBVrlzZcO2NN97I8XG4AAAAKH4ohAIAAABQ4EJDQ9WoUaMc/QkNDS3o9FEEubi4qGzZshbxc+fO2TQ/KirKcMyI9M+Xc1l9SZuxgMhsNmvmzJk27VcQkpOTNXv2bEPsnnvuybIgw1qRlLViquxMmjRJrVq1yvT6+fPnNXPmTD355JNq1KiRvL291aJFCz3//PNatGiRoZDFUcaNG5fj96nbfx5++GGH51WchIaG6qGHHrL4ItPd3V0jRoywa62xY8dq0KBBds3ZvXu3Vq9ebYh99NFHdh1haTKZ9M0331i8F3z88cdZzvv0008VGxtriLVr107z5s2zqdAoo6pVq9o9JyvWikTHjBmTo7VsPeLQXlFRURZH9zk7O2vJkiUWX5hbYzKZNHPmTNWvX98Qv3LlitUjAW0RGBioH3/8Mcsv9m8rW7asRQFPWlqa1q1bl6O9C0JcXJxGjBhhtQD2/fffz3b++fPnLT4znn76aauFVVmZMGGCunTpYohl9xoMCQmxKDqrVauWVq1apdKlS9u1v/TP331W3NzcVKJECbvXlf4paJk1a5bhtXT27Fn99ttvOVqvsDp79qxF7J577imATAq3jz/+WO3bt7drjouLi8Xn6t9//609e/bYtY6132NHjRqV5ZypU6cqISEhfXy7kMuW9+nbAgICNH/+fEPs0KFDVgupAQAAcHeiEAoAAABAgYuPj9eBAwdy9CcuLq6g00cRZe2LzZiYGJvmzpkzx6JrxKOPPprlnH79+snHx8cQCwkJUVpamk175rdffvlFkZGRhtgjjzwiZ2fnTOe0aNFCtWvXNsQWLVqkGzdu2LW3h4eHfv31V/Xp08em+xMTE7Vr1y598cUXGjRokCpUqKCOHTtqxowZunXrll17Z+bs2bM5fp+6/cdad4u7XWpqqvbu3atnn31Wbdq0sXjOSdKzzz6bbVHBnby9vTVhwgS7c5k8ebJhXKNGDb300kt2r+Pq6qq33nrLEFu9enWmz8W4uDh99dVXhpibm5vmzJmTZVeN/JSxSEv6pwNVYfL999+nd2G67V//+pcaNWpk8xouLi764osvLOJffvlljnIaP368xft+VoYMGWLxHmtvYUJ+SklJUVRUlLZs2aLx48erVq1aFsUJkvTkk09qwIAB2a736aefGj5bS5UqlW0BU2bGjRtnGO/bt08RERGZ3j9lyhSL2KxZs7LsKFeQ/Pz8LLpCbd26tYCyyRvXrl2ziOWkKK04CwoK0jPPPJOjuRm7F0rWC5syk5CQoAULFhhi7du3V40aNTKdc+XKFYs9Xn31VVWrVs3mfW9r06aNHnjgAUNs6dKldq8DAACA4qlw/L8pAAAAAADkszJlyljEbD3+KGPHCldXVw0dOjTLOR4eHho8eLAhVpg7ONhzLN6dMhaE3bx5U/PmzbN7/9KlS2v58uWaPXt2ll+qWWM2m7Vp0yY9/vjjqlWrlubOnWv3/nCMr7/+OtMOWUFBQfLx8VHTpk311VdfWRQXStIDDzygDz/80K49H374YZUsWdKuOYmJifrll18MsVGjRmVZ+JeVnj17Wqz/559/Wr1306ZNFkWYDz/8sMO7OuWGtaKnwlZ0Ya1z0tNPP233Oh06dFC9evUMsb///tvuTnNeXl52dROT/vlcqlmzpiFWGAooTSaT1T+urq7y9fVV+/btNWnSJF28eNFi7ksvvaT//ve/Nu2T8fi6wYMHy9vbO0c5t27d2qJoZuPGjVbvPXTokE6ePGmItWvXTi1btszR3vkl43Mls/eYosra72T2FBbeDR577LFsj2zMTN26ddW8eXNDbN68eTYXkC9evNiiSNZacdWdVq1aZfH3+sQTT9i0nzW9evUyjDN7jQMAAODuQyEUAAAAAOCuZK0Tky1fJu3cuVOHDh0yxHr27Kny5ctnO9dRR8fltQsXLmjNmjWGWMOGDdWgQYNs544YMcKii01OH6PJZNKIESN05MgRrVy5UkOHDlWpUqXsWuPMmTMaPny4HnvsMYd1h4LtLl++nGmHrFOnTik+Pj7TuYMGDdKyZcvk5uZm156dOnWyO8+dO3daPD/atGlj9zq3lS1b1uIL+3379lm919oXt/YeBZjXgoODLV7XY8aMsXgvLCipqanauXOnIXbvvfdaFDTZytqxitu2bbNrjZYtW9r93JX+6fByJ3s76hUGzs7O6tGjh7Zv365PPvnEpoLCiIgIi45NuXkNOjk5WRQTFvbX4Pnz57Vw4UK9++67evjhh9W9e3e1bt1ajRs3tlpMGhISYpif8Wi/oi7jMamSbb+n3U1y8nl3p9GjRxvGV69etTj6OTMZOzuVLFky2yNpMx6bWbVqVVWqVMmm/azJ2EkqPDxc169fz/F6AAAAKD5cCjoBAAAAAOjQoQP/ghf5ztoXJSVKlMh2nrWinuyOxbutTZs2qlGjhk6cOJEeW7FihaKjowvVMVMhISFKTU01xGx9jAEBAerUqZN+//339FhoaKj+/vtv1a9fP0f5uLi4qHfv3urdu7dSU1O1f/9+bd26Vbt379a+fft07Ngxi3wzCgkJUUJCgn7++ecc5TBz5kyNGjUqR3Nhn+DgYL355ps2HaVlTZMmTeyeY63I5emnn85RIcttCQkJhnFUVJTV+3bs2GEYOzk5FbpONGXLllXfvn21bNmy9Njp06fVsGFD9evXT0OHDlXXrl3tLlR0lGPHjlkU1TVr1izH6wUHB1vE9u7dqwcffNDmNTJ267FVxgK6olgIVa1aNY0ZM0atWrWyeY611+D777+v6dOn5ziPOz9rJdtfg1LuirDstWjRIv33v//Vpk2bcnVcbnErALH2O1lxe4y5YTKZ7Dr605ohQ4Zo7Nixhi5NISEh2RY0hYeHW/xvt8GDB2d7lGTG13lUVFSuHoO1I9KjoqI4QhEAAAAUQgEAAAAA7k7Xrl2ziGX3JX58fLzmz59viJUtW1a9e/e2ed9HH31U48aNSx8nJSVpzpw5evHFF21eIy+ZzWbNmDHDEHNxcdGwYcNsXmPkyJGGQijpnwKy3HyhfZuzs7OaNm2qpk2bpscSEhK0c+dObdiwQQsXLtTRo0etzl2wYIHatm2r5557Ltd5IPc8PT3l4+OjsmXLqn79+mratKm6deuW44K52/z8/Oyec+7cOYvYkSNHcpVHRtHR0VbjGY9cCwwMzPFxYHnpP//5jzZv3qyrV6+mx1JTU7VkyRItWbJEzs7Oaty4sVq1aqXg4GC1b98+3473s1bgUqdOnRyvV7duXZv2yErZsmVztLerq6thnJycnOm9K1asMHye2KJZs2b6/vvv7ZrTsGFDi1haWppiYmJ07tw5i0LUEydO6MEHH9Tzzz+v6dOn29TFx9prMONxdbll62vQxcUlV88fW124cEEjRozQH3/84ZD1imLRXFasvYYohPo/JUuWlKenZ67W8PHx0YABA/TTTz+lx9auXauLFy+qQoUKmc6bNWuWRceu7I7Fkyxf5/Hx8Tpw4ICdWWctOjra7iOVAQAAUPxQCAUAAAAAuOskJSVZLYQKCAjIct7ChQsVGxtriA0ZMsSurjEjRozQ+PHjDV8g/fDDD4WmEGrTpk0WXz537dpV/v7+Nq/x4IMP6umnnzb8S/0ff/xRU6ZMyVWHncx4enqqU6dO6tSpkyZNmqS1a9fq5Zdftnps1/vvv6/HH388118ewjbjx4/XhAkT8nXPnHQlyqxAwpHu7LhxpzsLiySpTJkyeZ5LTgQFBWn9+vV66KGHdPr0aYvrqampCg0NVWhoaHosMDBQDz74oIYNG5ajTl22svZ+npuOINb+DjL+PWUnY0FTXrh69ardRQQ5+bns378/02uJiYnauHGjpk+frrVr1xquff7553J3d9eUKVOy3aMwvQZ9fHzy/Ai28+fPq2PHjhZdq3IjJSXFYWsVBpUrV7aIZSxau5s5qgPf6NGjDYVQqampmjNnjl577TWr95vNZs2aNcsQq1mzptq2bZvlPjdv3sz0NehI+bEHAAAACj+ngk4AAAAAAPKai4vlvwFJTEzM9brW/o92Z2fnXK+LvLdv3z6rXxhWr149y3m5ORbvtsDAQHXo0MEQO3jwoHbt2mXXOnnFEY/Ry8tLAwcONMSio6MNx2rlpW7dumn37t3q0aOHxbXIyEitWLEiX/JAwbD2np8da4U0+SUmJsYwLlmyZAFlkr3GjRvr4MGDmjx5craFo9I/xydNmzZNTZs2VefOnbMsqMmNjAWqkrI9oikr1uZa2wOSh4eHunfvrjVr1ljt+jd16lQtWbIk23XuttfgqFGjrBZBNWrUSG+++aaWLl2qvXv36tKlS4qJiVFSUpLMZrPhz/jx4/M8z4JUu3Zti9idhZZ3u5x81llz//33W3TvmzlzZqb3b9q0yaIY1pZuUAX5GgcAAMDdh0IoAAAAAMWete4Hd3aqySlraxTWTh4w2rFjh0WsVKlSCgoKynTOsWPHtHXrVot4y5YtZTKZ7PqzceNGi3UyHkdXEG7cuKHFixdbxIcMGWL3YwwJCbFYJz8fY4kSJTR//nyVL1/e4lrGY/uAEiVKWMSOHDliUXiQmz/WXhOSZVcPR3w+5SVPT0+99tprioiI0KZNm/TOO++offv2Vn+Gd/r999/VokULi04ijmDtKMH4+Pgcr2dtbmE8rrCweeGFF/Tuu+9axJ966qlsOz5Ze/6sXr3aoa9Ba5+9Uv6/BletWqX169cbYn5+flq7dq327dunDz/8UP3791fjxo3l7+8vb29vqx3GinvnmzuPwL3t8OHDuXptw5LJZNLIkSMNsaNHj+rPP/+0en/GIiknJyebCuatvcZbtGjh0Ne42WxWx44dbX/wAAAAKLYohAIAAABQ7FkrTrp+/Xqu17W2BoVQRUPGLyAlqXXr1lkehZPXRTzz5s1TQkJCnu6RnZ9++ilPv1hdt26dzp49m2frZ1SqVCmNGjXKIn7s2LF8ywFFg7WCOXuPQsupcuXKGcZFpWuGyWRS+/bt9d5772nTpk2KiYnR7t27NW3aNPXs2dPql95JSUl6/PHHtXnzZofm4ujPeWtzy5Ytm+P18sqoUaMcVgzkKOPHj1fz5s0NsStXruidd97Jcl5heg3euHHDcHyto82bN88wdnZ21sqVK9W1a1e71smvn09Badu2rUXXo9TUVG3atKmAMnKM5OTkgk7BwqhRoyx+B7ZWvBsXF2dRMN+1a1dVqlQp2z1Kly5t8fdZ3J/DAAAAKDgUQgEAAAAo9qx9uXb06NFcr3vkyBGb9kLhEhYWptWrV1vE+/Tpk+mclJQUzZ49Oy/TUkxMjBYtWpSne2TH2rF4jpSWlpblcSt5IeMX8pIUFRWVrzmg8PP397eIRURE5Mve99xzj2EcHh5eJI9hc3FxUbNmzTR27FitWrVKkZGR+vrrr1WxYkXDfampqXr11Vcdurevr69FzNpntK0OHz5sEePz3TbOzs76+uuvLYoqvv/+ex0/fjzTeYXpNZiSkmL1OeAo69atM4y7d+9u9bMqO6dOnXJUSoWSj4+P2rdvbxH/5ptvCiAbWe3KlZOipuy6oxWEatWqWXRSmj9/vsVR4gsWLLDoyDV69Gib9jCZTBbv1efPn7d6VDUAAACQWxRCAQAAACj2mjRpYhH766+/cr3uwYMHLWLWjvFA4fLpp58qLS3NEHN3d9egQYMynbNq1SpdunTJELvnnnvUsGHDXP3JKK8LkbJy4MAB7dmzxxArW7Zsrh+jm5ubYc2ZM2fmaaeNjHx8fCxiGTsSAC1atLCIObprUWZatWplGKelpVk9vrOoKVmypP71r39p7969CggIMFzbtWuXQ7vD1apVSyVLljTEQkNDc7ze7t27LWJ8vtuucePGGjZsmCGWkpKicePGZTqnML0GJWnbtm15stetW7cUGRlpiLVr187udVJTU7Vr1y5HpVVoWSuyWbVqlc6cOZPvuWQ8QlH6p4jdXidOnHBEOg732GOPGcY3btzQ0qVLDbGMXaLKli2rvn372rxHxtd5QkKCxe+eAAAAgCNQCAUAAACg2GvTpo1FbPXq1bkuxvjll19s2guFx7p166x2Ehg2bJjVjiK3WStQmjlzpvbv35+rPxk7QGzevLnAviCz9hg/+OCDXD/G/v37G9YMDw/X77//nk+PSrp8+bJFzFrnEdzdOnXqZFEg98svv+TLEUYZu3BI0pw5c/J83/zi7++vl19+2SL+999/O2wPZ2dni/fTo0eP6tChQzlab+HChRax1q1b52itu9WECRMsXlMLFy7M9O+kQYMG8vPzM8Q2b96cL91z8vM1aO3x5OTYxV9//VVxcXGOSKlQGzhwoMWxa6mpqXrmmWfyPZfSpUtbxHLSlauwHu330EMPWRR73dnF8+TJk9qyZYvh+iOPPCJ3d3eb9+jSpYtFbMmSJXZmCgAAAGSPQigAAAAAxV7Tpk0t/o/9c+fOacOGDTle88SJExYdO5ydna0e4YHC4dSpUxo6dKhFNyhPT09NnDgx03kXL17Ur7/+aoj5+/tb/TLHXsOHD7eIzZgxI9fr2uvWrVuaO3euIebm5qbBgwfneu2Cfox//PGHRSwoKCjf9kfRUKpUKYtiiHPnzuVLQVKHDh1UpkwZQ2zBggX5dixYfrj33nstYjdu3HDoHt26dbOIff3113avs2XLFouOjw0aNKCA0k5BQUF69NFHDbG0tDSNHz/e6v0mk8mis0xCQoI+++yzPMvxtjp16qh27dqG2NatW/OkM5uXl5dFLCfHtU6bNs0R6RR67u7uVn9H++WXX/Tdd985dK8zZ85keURxxueIJLu7ct24cUM///yz3bnlB09PTz388MOG2O+//65z585JsuwGJdl+LN5tvXr1krOzsyH29ddf6/r163atAwAAAGSHQigAAAAAxZ67u7vGjBljEX/11VeVmpqaozVfeukli9hDDz2kihUr5mg95K2VK1cqODjYaieGyZMnq3LlypnOnTVrlsXzZOjQoRZf5OTEkCFDLDpmWNsvry1dulRXr141xHr27JmjLhUZde/eXeXLl7fY79q1a1bvX7lypU6fPp3rfaV/uhcsWLDAIt6rVy+HrI/i5Z133rGIvfLKKznq+GEPT09PPffcc4ZYUlKSRowYYVG4WVRdvHjRIpZVF76cGD16tDw8PAyxr7/+2q6jcFNSUiz+LiRZjSF777zzjlxdXQ2xJUuW6MCBA1bvf+ONNyw+EydPnqydO3fmWY63vf766xaxUaNGKT4+3qH7+Pj4yNPT0xD77bff7Frj+++/18aNGx2YVeE2evRoq127nn32Wf30008O2WP16tUKDg62euz1bQ0aNLB4Ptu7/8SJExUbG5ujHPNDxuPx0tLSNGvWrPT/vFPDhg3VuHFju9avWrWqRowYYYjFxMTosccey9djkwEAAFD8UQgFAAAA4K7wwgsvWHx5sXfvXv373/+2+4vmSZMmaeXKlRbxV155JVc5wvFCQ0M1YsQI9e3b16LQR5JGjhypZ599Nss1rHUvstblKCd8fX0tuphcuHBBq1evdsj6trJ2LJ6jHqOrq6tFh4HExESLDlS3rVq1SrVq1dJjjz2mo0eP5njfCxcuaMCAAUpISDDEfX19HdLNC8VPhw4dLJ4b165dU/fu3XXkyJEcrZmYmKhvvvkm2+4tL7zwgsWxS1u2bNHQoUN169Ytu/d1dDepkJAQLV68OEdFmsnJyfrvf/9riDk5Oem+++5zVHqSpPLly1t0IEpJSdFDDz1ktRArI7PZrCeeeMKiSMfPz89h74d3m2rVqmnUqFGGmNlszrQrVFBQkEUhRlJSkvr166ft27fnKIfU1FTNnz9fb7/9dpb3DR8+XNWrVzfEjh8/rl69euWoW014eHim19q2bWsYb9y40aLzZGbWrFmj559/3u58ijKTyaTZs2dbdGVLSkrS8OHD9d577+XofVL6p0hz1KhR6tmzpyIjI7O818PDw6Iga/v27Vq8eLFNe82ZM0fTp0/PUZ75pVWrVhYd/EJCQvT777/r7NmzhnjG16qtxo0bZ3Gc3rJly/Tkk0/m+O8xPDxczz33XJaFbAAAALi7UAgFAAAA4K4QEBCg9957zyL+3XffqUuXLtqzZ0+2a4SFhWnw4MFWv8B77rnnFBwc7JBckXNXrlzRqlWrNG7cOLVs2VLBwcH68ccfrd47atQoqwVAd9q8ebPCwsIMsTp16qhp06YOy9naF+zZ5eVI4eHh+v333w2x0qVLq3fv3g7bw97HmJKSopCQENWpU0ctW7bUl19+aVMhg/TPUUpff/21GjdurL///tvi+tSpUy26xgC3hYSEWHT2CwsLU/PmzfXRRx/ZdJyb2WzW9u3bNXbsWAUGBuqpp57KtqtU2bJlNWvWLJlMJkN8wYIFatWqldavX5/tvteuXdMPP/yghg0bZlpoklP79+/XwIEDVaNGDb3zzjvau3evTfMiIiLUt29f7d692xDv3Lmz7rnnHofmKEkfffSRKlWqZIidOHFCbdq0yfJneP78efXr18+i44kkffvtt7xn5MI777wjNzc3Q2z58uWZPoemTZum+vXrG2KXL19Wx44d9frrr+vSpUs27XvgwAG98847qlGjhoYOHZppF6rbXF1d9fPPP1sUaGzatEnNmjXTwoULs+1YEx8fr59//lnt27fPskjE2rGzDz/8cJbHst28eVOTJk1Sv379dPPmTUmyOPa5OAsICNAvv/wiHx8fQ9xsNmvcuHGqVauWZsyYoZiYGJvWCw0N1b///W9Vr17d6us+M0888YRF7NFHH9WyZcsynXP9+nW9+uqrGjlypMxmc6F/P8n43D1x4oReeOEFQ8zNzS3HBaLVqlXTN998YxH//vvv1bJlS/3yyy82dYeKjY3VTz/9pP79+6tGjRr68ssvlZiYmKOcAAAAUPy4ZH8LAAAAABQPr732mrZv364VK1YY4n/88YeaNWumBg0aqFOnTqpRo4bKli0rZ2dnXb16VREREdq4caNCQ0OtdsNo2bKlPvnkk1zn17NnT4svC+3l7e2tLVu22HRvo0aNcrWXJNWuXVs///xzrtfJTmhoaKb5xsfH6/r167px44aSk5OzXcvLy0uTJ0/WM888k+29edkp6bZ+/frJ29vbcFTKqlWrFBkZKT8/P4fuZc3MmTMtvnAaNGiQxZfBudGyZUvVqFFDJ06cSI/t379f+/bty/ZYlZ07d2rnzp167rnnFBgYqBYtWqhu3boqX768ypUrJ5PJpJiYGEVEROjAgQP6448/Mj3KaPDgwRo5cmSOHsO4ceMc1slh//79DlkHjlexYkUtX75cHTt2NDyP4uLi9NZbb+mDDz5Q27Zt1bp1a1WoUEFlypTRzZs3df36dV24cEF79+7Vnj17rB7DmZ2+ffvq7bff1vvvv2+I79u3T126dFHNmjXVtWtX1a5dW76+vjKbzbp+/bqOHz+uvXv3aseOHenvgfYeV2Sr8PBwffDBB/rggw9UoUIFNWnSRI0aNVLFihVVunRpubm5KS4uTuHh4dq+fbs2btxo8b7s7u7ukM9Ma8qWLas5c+aoa9euSklJSY+fPn1aXbp0UZMmTdSnTx8FBgbKw8NDFy9e1ObNm7VmzRqrX6A/88wz6tevX57kereoUqWKHn/8cf3vf/8zxMeNG6dffvnF4v6SJUtqxYoVatmypS5fvpweT05O1pQpUzR9+nS1atVK7dq1U+XKlVW2bFklJSXp+vXrunTpkvbv3689e/bYXDx7p2bNmunLL7/Uk08+afhcPHnypAYPHqzKlSurW7duql+/vsqXLy8XFxddv35dp0+f1t69e7Vt27b0LoQdOnTIdJ9HH31UH330kU6ePJkei4uL06BBg9KfozVq1JCrq6siIyO1Z88e/fLLL4b3lXr16ql3796aPHmy3Y+zqGrWrJk2bNignj17WhTEnTlzRo8//rj+9a9/qWXLlmrdurX8/Pzk6+srLy8vxcfH6+zZszp06JC2bNmic+fO5SiHBx98UE2bNjX8A4qEhAQNGDBArVq1Uu/evRUYGCiTyaTLly/rzz//1Jo1a9KLaE0mk6ZNm6ann3465z+IPDZixAi99dZbhv/Nk7ErYp8+fVSuXLkc7zFy5EgdOXLE4vm7f/9+9enTR1WqVFGnTp3UsGFDlStXTp6enrpx40b6Z96ePXv0999/KykpKcc5AAAAoHijEAoAAADAXcNkMunnn3/W008/rZkzZ1pc/+uvv/TXX3/ZtWafPn00Z84ci2P3ciKnRy/dKeO/lM9Kdt0RCpP4+Phc5+vm5qZHHnlE7733nipXrpzt/TExMRbdGUwmk4YNG5arPDIqUaKEHnroIYWEhKTHkpOTNXv27Dw/bjEtLc2w7215cQzU8OHDNWHCBEPshx9+0JdffmnzGuHh4VkeN5SV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= [\"Phase\", \"Accuracy\", \"Balanced Acc\", \"Precision\", \"Recall\", \"Specificity\", \"F1\", \"ROC-AUC\"]\n","result_df = pd.DataFrame(results, columns=cols)\n","\n","print(result_df)\n","\n","result_df.to_csv(BASE_DIR+\"/results/final_results.csv\", index=False)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"a326ANlKlSZj","executionInfo":{"status":"ok","timestamp":1774672630725,"user_tz":-330,"elapsed":48,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"46d62313-2086-466d-abc6-03db2ce91cc0"},"execution_count":47,"outputs":[{"output_type":"stream","name":"stdout","text":[" Phase Accuracy Balanced Acc Precision Recall Specificity \\\n","0 hindi 0.518480 0.514767 0.461652 0.480430 0.549104 \n","1 hinglish 0.444522 0.495944 0.387464 0.729875 0.262014 \n","2 english 0.711936 0.711970 0.806950 0.557333 0.866607 \n","3 full_dataset 0.689860 0.689551 0.660107 0.685197 0.693905 \n","\n"," F1 ROC-AUC \n","0 0.470854 0.535600 \n","1 0.506203 0.520044 \n","2 0.659306 0.823096 \n","3 0.672418 0.724131 \n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"s6mkSpFLmMSq","executionInfo":{"status":"aborted","timestamp":1774671858833,"user_tz":-330,"elapsed":20083,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/phase6/notebooks/word2vec_bilstm_regular.ipynb b/phase6/notebooks/word2vec_bilstm_regular.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..e2e7a041bd5787c2ee0e40884f912ed580594b3f --- /dev/null +++ b/phase6/notebooks/word2vec_bilstm_regular.ipynb @@ -0,0 +1 @@ +{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyMmigbxf4y7SZhp9uZMFahu"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"qNlI_dglvk-g","executionInfo":{"status":"ok","timestamp":1774366672515,"user_tz":-330,"elapsed":10427,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"ef6a8291-e9c5-4b2c-ba13-a5721fa55bfc"},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27.9/27.9 MB\u001b[0m \u001b[31m29.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h"]}],"source":["# Install required libraries for NLP, ML and plotting\n","!pip install gensim scikit-learn seaborn --quiet"]},{"cell_type":"code","source":["# Import basic libraries for file handling and numerical operations\n","import os\n","import numpy as np\n","import pandas as pd\n","\n","# Import matplotlib and seaborn for plotting graphs\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","# Import sklearn utilities for data splitting and metrics\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score\n","from sklearn.metrics import roc_auc_score, balanced_accuracy_score, confusion_matrix\n","from sklearn.metrics import roc_curve, precision_recall_curve\n","\n","# Import gensim for Word2Vec embedding model\n","from gensim.models import Word2Vec\n","\n","# Import tensorflow keras utilities for deep learning model\n","from tensorflow.keras.models import Sequential\n","from tensorflow.keras.layers import Embedding, LSTM, Dense, Dropout, Bidirectional\n","from tensorflow.keras.preprocessing.text import Tokenizer\n","from tensorflow.keras.preprocessing.sequence import pad_sequences\n","\n","# Import google drive module to access files from Google Drive\n","from google.colab import drive"],"metadata":{"id":"UBjapMvgvu3s","executionInfo":{"status":"ok","timestamp":1774366698054,"user_tz":-330,"elapsed":21507,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["# Mount Google Drive to access dataset and store results\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"dP6_ckuZv2ov","executionInfo":{"status":"ok","timestamp":1774366733708,"user_tz":-330,"elapsed":32240,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"5abab008-ed63-4c6a-883c-605b76b6890a"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["# Define base directory where results will be stored\n","BASE_DIR = \"/content/drive/MyDrive/nprism/nprism_reg_tr/word2vec_bilstm_nprism_results\"\n","\n","# Create main directory if it does not exist\n","os.makedirs(BASE_DIR, exist_ok=True)\n","\n","# Create subfolders for dataset splits, figures, tables and models\n","os.makedirs(BASE_DIR + \"/dataset_splits\", exist_ok=True)\n","os.makedirs(BASE_DIR + \"/figures\", exist_ok=True)\n","os.makedirs(BASE_DIR + \"/tables\", exist_ok=True)\n","os.makedirs(BASE_DIR + \"/models\", exist_ok=True)\n","\n","# Print path to confirm creation\n","print(\"Result folders created at:\", BASE_DIR)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0XT_kC7dv9Cc","executionInfo":{"status":"ok","timestamp":1774366741874,"user_tz":-330,"elapsed":1385,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"0c863fb2-e505-4036-a7bf-e8861318b608"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["Result folders created at: /content/drive/MyDrive/nprism/nprism_reg_tr/word2vec_bilstm_nprism_results\n"]}]},{"cell_type":"code","source":["# Define dataset file path from Google Drive\n","DATA_PATH = \"/content/drive/MyDrive/datasets/nprism - nprism.csv\"\n","\n","# Load dataset using pandas\n","df = pd.read_csv(DATA_PATH)\n","\n","# Display first few rows to verify dataset\n","df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"91cWzrYYwGit","executionInfo":{"status":"ok","timestamp":1774366752531,"user_tz":-330,"elapsed":1131,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"f8ed96aa-4d27-4550-ea18-166c80640fe7"},"execution_count":5,"outputs":[{"output_type":"execute_result","data":{"text/plain":[" clean_text hate_label language \\\n","0 Knowing ki Vikas kitna samjhata hai Priyanka a... 0 hinglish \n","1 I am Muhajir .. Aur mere lye sab se Pehly Paki... 0 hinglish \n","2 Doctor sab sahi me ke PhD (in hate politics) w... 0 hinglish \n","3 Poore Desh me Patel OBC me aate Hain sirf gujr... 0 hinglish \n","4 Sarkar banne ke bad Hindu hit me ek bhi faisla... 1 hinglish \n","\n"," text_length word_count \n","0 126 25 \n","1 196 41 \n","2 166 29 \n","3 257 49 \n","4 140 25 "],"text/html":["\n","
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clean_texthate_labellanguagetext_lengthword_count
0Knowing ki Vikas kitna samjhata hai Priyanka a...0hinglish12625
1I am Muhajir .. Aur mere lye sab se Pehly Paki...0hinglish19641
2Doctor sab sahi me ke PhD (in hate politics) w...0hinglish16629
3Poore Desh me Patel OBC me aate Hain sirf gujr...0hinglish25749
4Sarkar banne ke bad Hindu hit me ek bhi faisla...1hinglish14025
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"df","summary":"{\n \"name\": \"df\",\n \"rows\": 29506,\n \"fields\": [\n {\n \"column\": \"clean_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 29506,\n \"samples\": [\n \"Khatmalo ko maar maar kar khoon jaama karne se .. blood bank nahin ban jaata sir aaj kal party me aesa hi kuch ho raha hai\",\n \"my worse bitch looks better than your main bitch now that is bad right there laughing out loud\",\n \"they could just be people on holiday\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"hate_label\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"language\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"hinglish\",\n \"hindi\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"text_length\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 189,\n \"min\": 1,\n \"max\": 1926,\n \"num_unique_values\": 1191,\n \"samples\": [\n 752,\n 225\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"word_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 34,\n \"min\": 1,\n \"max\": 300,\n \"num_unique_values\": 291,\n \"samples\": [\n 128,\n 237\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":5}]},{"cell_type":"code","source":["# Count number of samples per language\n","language_counts = df['language'].value_counts()\n","\n","# Create pie chart for language distribution\n","plt.figure(figsize=(6,4))\n","language_counts.plot.pie(autopct='%1.1f%%')\n","\n","# Remove ylabel for cleaner plot\n","plt.ylabel(\"\")\n","\n","# Save figure to drive\n","plt.savefig(BASE_DIR + \"/figures/dataset_distribution.png\", dpi=300)\n","\n","# Show figure\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":345},"id":"K_YG58pfwMB6","executionInfo":{"status":"ok","timestamp":1774366756008,"user_tz":-330,"elapsed":1042,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"16171b10-747f-4109-e2cb-8084082921ae"},"execution_count":6,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["# Split dataset into 70% train+validation and 30% test\n","train_val_df, test_df = train_test_split(\n"," df,\n"," test_size=0.30,\n"," random_state=42,\n"," stratify=df['hate_label']\n",")\n","\n","# Split train_val into 60% train and 10% validation\n","train_df, val_df = train_test_split(\n"," train_val_df,\n"," test_size=0.1428,\n"," random_state=42,\n"," stratify=train_val_df['hate_label']\n",")\n","\n","# Save splits to drive\n","train_df.to_csv(BASE_DIR + \"/dataset_splits/train.csv\", index=False)\n","val_df.to_csv(BASE_DIR + \"/dataset_splits/validation.csv\", index=False)\n","test_df.to_csv(BASE_DIR + \"/dataset_splits/test.csv\", index=False)\n","\n","print(\"Dataset splitting completed\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0HmDORO0wOu5","executionInfo":{"status":"ok","timestamp":1774366761322,"user_tz":-330,"elapsed":1887,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"a27fd29a-045d-4671-a9e6-b861bd758c64"},"execution_count":7,"outputs":[{"output_type":"stream","name":"stdout","text":["Dataset splitting completed\n"]}]},{"cell_type":"code","source":["# Extract text and labels\n","train_texts = train_df['clean_text'].astype(str)\n","val_texts = val_df['clean_text'].astype(str)\n","test_texts = test_df['clean_text'].astype(str)\n","\n","y_train = train_df['hate_label']\n","y_val = val_df['hate_label']\n","y_test = test_df['hate_label']\n","\n","# Create tokenizer to convert words to numbers\n","tokenizer = Tokenizer()\n","\n","# Fit tokenizer on training texts\n","tokenizer.fit_on_texts(train_texts)\n","\n","# Convert texts to sequences\n","X_train_seq = tokenizer.texts_to_sequences(train_texts)\n","X_val_seq = tokenizer.texts_to_sequences(val_texts)\n","X_test_seq = tokenizer.texts_to_sequences(test_texts)\n","\n","# Define maximum sequence length\n","MAX_LEN = 100\n","\n","# Pad sequences to same length\n","X_train = pad_sequences(X_train_seq, maxlen=MAX_LEN)\n","X_val = pad_sequences(X_val_seq, maxlen=MAX_LEN)\n","X_test = pad_sequences(X_test_seq, maxlen=MAX_LEN)"],"metadata":{"id":"rnLCzBDpwRia","executionInfo":{"status":"ok","timestamp":1774366765016,"user_tz":-330,"elapsed":1255,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":8,"outputs":[]},{"cell_type":"code","source":["# Prepare sentences for Word2Vec\n","sentences = [text.split() for text in train_texts]\n","\n","# Train Word2Vec model\n","w2v_model = Word2Vec(\n"," sentences,\n"," vector_size=300,\n"," window=5,\n"," min_count=2,\n"," workers=4\n",")\n","\n","# Get vocabulary size\n","vocab_size = len(tokenizer.word_index) + 1\n","\n","# Create embedding matrix\n","embedding_matrix = np.zeros((vocab_size, 300))\n","\n","# Fill embedding matrix using Word2Vec vectors\n","for word, i in tokenizer.word_index.items():\n","\n"," if word in w2v_model.wv:\n"," embedding_matrix[i] = w2v_model.wv[word]"],"metadata":{"id":"GrfRBF5wwUQq","executionInfo":{"status":"ok","timestamp":1774366773619,"user_tz":-330,"elapsed":5822,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["# Create sequential deep learning model\n","model = Sequential()\n","\n","# Add embedding layer using Word2Vec weights\n","model.add(\n"," Embedding(\n"," input_dim=vocab_size,\n"," output_dim=300,\n"," weights=[embedding_matrix],\n"," input_length=MAX_LEN,\n"," trainable=False\n"," )\n",")\n","\n","# Add bidirectional LSTM layer\n","model.add(Bidirectional(LSTM(128)))\n","\n","# Add dropout layer to reduce overfitting\n","model.add(Dropout(0.5))\n","\n","# Add output layer with sigmoid activation\n","model.add(Dense(1, activation='sigmoid'))\n","\n","# Compile model with Adam optimizer\n","model.compile(\n"," optimizer='adam',\n"," loss='binary_crossentropy',\n"," metrics=['accuracy']\n",")\n","\n","# Show model summary\n","model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":312},"id":"4mgJdqKDwXJV","executionInfo":{"status":"ok","timestamp":1774366780413,"user_tz":-330,"elapsed":4558,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"5ad92975-0cab-4fd8-84c4-9e3856d45226"},"execution_count":10,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"sequential\"\u001b[0m\n"],"text/html":["
Model: \"sequential\"\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ embedding (\u001b[38;5;33mEmbedding\u001b[0m) │ ? │ \u001b[38;5;34m13,344,300\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional (\u001b[38;5;33mBidirectional\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout (\u001b[38;5;33mDropout\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense (\u001b[38;5;33mDense\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n"],"text/html":["
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ embedding (Embedding)           │ ?                      │    13,344,300 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional (Bidirectional)   │ ?                      │   0 (unbuilt) │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout (Dropout)               │ ?                      │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense (Dense)                   │ ?                      │   0 (unbuilt) │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m13,344,300\u001b[0m (50.90 MB)\n"],"text/html":["
 Total params: 13,344,300 (50.90 MB)\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"],"text/html":["
 Trainable params: 0 (0.00 B)\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m13,344,300\u001b[0m (50.90 MB)\n"],"text/html":["
 Non-trainable params: 13,344,300 (50.90 MB)\n","
\n"]},"metadata":{}}]},{"cell_type":"code","source":["# Check unique language values in dataset\n","print(df[\"language\"].unique())\n","\n","# Also see count of each language\n","print(df[\"language\"].value_counts())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"D30x5eH_xwFM","executionInfo":{"status":"ok","timestamp":1774366784287,"user_tz":-330,"elapsed":37,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"9db573a0-0843-42ff-a051-b5cbd74058b1"},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["['hinglish' 'hindi' 'english']\n","language\n","english 14994\n","hindi 9738\n","hinglish 4774\n","Name: count, dtype: int64\n"]}]},{"cell_type":"code","source":["# Store results from all strategies\n","results_list = []\n","\n","# Fixed order of language strategies\n","language_order = [\"english\", \"hindi\", \"hinglish\"]\n","\n","for lang in language_order:\n","\n"," print(\"\\n===============================\")\n"," print(\"Training Strategy:\", lang)\n"," print(\"===============================\")\n","\n"," # Filter dataset for this language\n"," lang_df = df[df[\"language\"].str.lower() == lang]\n","\n"," if len(lang_df) == 0:\n"," print(\"No data found for:\", lang)\n"," continue\n","\n"," # Split 70:30\n"," train_val_lang, test_lang = train_test_split(\n"," lang_df,\n"," test_size=0.30,\n"," random_state=42,\n"," stratify=lang_df[\"hate_label\"]\n"," )\n","\n"," # Split train/validation (60:10 overall)\n"," train_lang, val_lang = train_test_split(\n"," train_val_lang,\n"," test_size=0.1428,\n"," random_state=42,\n"," stratify=train_val_lang[\"hate_label\"]\n"," )\n","\n"," # Prepare text\n"," X_train_text = train_lang[\"clean_text\"].astype(str)\n"," X_val_text = val_lang[\"clean_text\"].astype(str)\n"," X_test_text = test_lang[\"clean_text\"].astype(str)\n","\n"," y_train_lang = train_lang[\"hate_label\"]\n"," y_val_lang = val_lang[\"hate_label\"]\n"," y_test_lang = test_lang[\"hate_label\"]\n","\n"," # Convert text to sequences\n"," X_train_seq = tokenizer.texts_to_sequences(X_train_text)\n"," X_val_seq = tokenizer.texts_to_sequences(X_val_text)\n"," X_test_seq = tokenizer.texts_to_sequences(X_test_text)\n","\n"," # Padding\n"," X_train_lang = pad_sequences(X_train_seq, maxlen=MAX_LEN)\n"," X_val_lang = pad_sequences(X_val_seq, maxlen=MAX_LEN)\n"," X_test_lang = pad_sequences(X_test_seq, maxlen=MAX_LEN)\n","\n"," # Build model\n"," model = Sequential()\n","\n"," model.add(\n"," Embedding(\n"," input_dim=vocab_size,\n"," output_dim=300,\n"," weights=[embedding_matrix],\n"," trainable=False\n"," )\n"," )\n","\n"," model.add(Bidirectional(LSTM(128)))\n"," model.add(Dropout(0.5))\n"," model.add(Dense(1, activation=\"sigmoid\"))\n","\n"," model.compile(\n"," optimizer=\"adam\",\n"," loss=\"binary_crossentropy\",\n"," metrics=[\"accuracy\"]\n"," )\n","\n"," # Train model\n"," history = model.fit(\n"," X_train_lang,\n"," y_train_lang,\n"," validation_data=(X_val_lang, y_val_lang),\n"," epochs=8,\n"," batch_size=64,\n"," verbose=1\n"," )\n","\n"," # Best epoch from validation accuracy\n"," best_epoch = np.argmax(history.history[\"val_accuracy\"]) + 1\n"," print(\"Best Epoch:\", best_epoch)\n","\n"," # Test prediction\n"," y_prob = model.predict(X_test_lang)\n"," y_pred = (y_prob > 0.5).astype(int)\n","\n"," # Metrics\n"," accuracy = accuracy_score(y_test_lang, y_pred)\n"," precision = precision_score(y_test_lang, y_pred)\n"," recall = recall_score(y_test_lang, y_pred)\n"," f1 = f1_score(y_test_lang, y_pred)\n"," balanced_acc = balanced_accuracy_score(y_test_lang, y_pred)\n"," auc = roc_auc_score(y_test_lang, y_prob)\n","\n"," cm = confusion_matrix(y_test_lang, y_pred)\n"," tn, fp, fn, tp = cm.ravel()\n"," specificity = tn / (tn + fp)\n","\n"," results_list.append({\n"," \"Strategy\": lang,\n"," \"Best Epoch\": best_epoch,\n"," \"Accuracy\": accuracy,\n"," \"Balanced Accuracy\": balanced_acc,\n"," \"Precision\": precision,\n"," \"Recall\": recall,\n"," \"Specificity\": specificity,\n"," \"F1 Score\": f1,\n"," \"AUC\": auc\n"," })"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"w2ZNeVVIwb8o","executionInfo":{"status":"ok","timestamp":1774366850551,"user_tz":-330,"elapsed":63933,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"bf6b09b1-9491-4bfc-82da-b689493e5457"},"execution_count":12,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","===============================\n","Training Strategy: english\n","===============================\n","Epoch 1/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 20ms/step - accuracy: 0.6202 - loss: 0.6403 - val_accuracy: 0.6251 - val_loss: 0.6602\n","Epoch 2/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 15ms/step - accuracy: 0.6783 - loss: 0.5912 - val_accuracy: 0.6838 - val_loss: 0.5926\n","Epoch 3/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 18ms/step - accuracy: 0.7090 - loss: 0.5595 - val_accuracy: 0.7011 - val_loss: 0.5795\n","Epoch 4/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 16ms/step - accuracy: 0.7148 - loss: 0.5491 - val_accuracy: 0.7151 - val_loss: 0.5732\n","Epoch 5/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 16ms/step - accuracy: 0.7252 - loss: 0.5406 - val_accuracy: 0.7158 - val_loss: 0.5589\n","Epoch 6/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 16ms/step - accuracy: 0.7291 - loss: 0.5345 - val_accuracy: 0.7158 - val_loss: 0.5543\n","Epoch 7/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 15ms/step - accuracy: 0.7294 - loss: 0.5299 - val_accuracy: 0.7118 - val_loss: 0.5543\n","Epoch 8/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 20ms/step - accuracy: 0.7365 - loss: 0.5229 - val_accuracy: 0.7205 - val_loss: 0.5537\n","Best Epoch: 8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step\n","\n","===============================\n","Training Strategy: hindi\n","===============================\n","Epoch 1/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 21ms/step - accuracy: 0.5442 - loss: 0.6937 - val_accuracy: 0.5801 - val_loss: 0.6778\n","Epoch 2/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - accuracy: 0.5681 - loss: 0.6818 - val_accuracy: 0.5411 - val_loss: 0.6888\n","Epoch 3/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.5678 - loss: 0.6782 - val_accuracy: 0.5924 - val_loss: 0.6706\n","Epoch 4/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 0.5861 - loss: 0.6752 - val_accuracy: 0.6027 - val_loss: 0.6670\n","Epoch 5/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 0.5854 - loss: 0.6735 - val_accuracy: 0.6047 - val_loss: 0.6694\n","Epoch 6/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - accuracy: 0.5948 - loss: 0.6714 - val_accuracy: 0.6047 - val_loss: 0.6695\n","Epoch 7/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - accuracy: 0.5960 - loss: 0.6700 - val_accuracy: 0.6037 - val_loss: 0.6688\n","Epoch 8/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - accuracy: 0.5986 - loss: 0.6694 - val_accuracy: 0.6006 - val_loss: 0.6685\n","Best Epoch: 5\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step\n","\n","===============================\n","Training Strategy: hinglish\n","===============================\n","Epoch 1/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 27ms/step - accuracy: 0.6284 - loss: 0.6655 - val_accuracy: 0.6674 - val_loss: 0.6480\n","Epoch 2/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - accuracy: 0.6720 - loss: 0.6422 - val_accuracy: 0.6841 - val_loss: 0.6347\n","Epoch 3/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 21ms/step - accuracy: 0.6797 - loss: 0.6100 - val_accuracy: 0.7071 - val_loss: 0.5977\n","Epoch 4/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 22ms/step - accuracy: 0.7087 - loss: 0.5831 - val_accuracy: 0.6987 - val_loss: 0.5940\n","Epoch 5/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 22ms/step - accuracy: 0.7192 - loss: 0.5745 - val_accuracy: 0.6946 - val_loss: 0.6009\n","Epoch 6/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 32ms/step - accuracy: 0.7136 - loss: 0.5637 - val_accuracy: 0.6987 - val_loss: 0.5847\n","Epoch 7/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 37ms/step - accuracy: 0.7244 - loss: 0.5541 - val_accuracy: 0.7029 - val_loss: 0.5890\n","Epoch 8/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 38ms/step - accuracy: 0.7244 - loss: 0.5517 - val_accuracy: 0.7092 - val_loss: 0.5903\n","Best Epoch: 8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 20ms/step\n"]}]},{"cell_type":"code","source":["# Store results from all strategies\n","results_list = []\n","\n","language_order = [\"english\", \"hindi\", \"hinglish\"]\n","\n","for lang in language_order:\n","\n"," print(\"\\n===============================\")\n"," print(\"Training Strategy:\", lang)\n"," print(\"===============================\")\n","\n"," lang_df = df[df[\"language\"].str.lower() == lang]\n","\n"," if len(lang_df) == 0:\n"," print(\"No data found for:\", lang)\n"," continue\n","\n"," # Split\n"," train_val_lang, test_lang = train_test_split(\n"," lang_df, test_size=0.30, random_state=42,\n"," stratify=lang_df[\"hate_label\"]\n"," )\n","\n"," train_lang, val_lang = train_test_split(\n"," train_val_lang, test_size=0.1428,\n"," random_state=42,\n"," stratify=train_val_lang[\"hate_label\"]\n"," )\n","\n"," # Text\n"," X_train_text = train_lang[\"clean_text\"].astype(str)\n"," X_val_text = val_lang[\"clean_text\"].astype(str)\n"," X_test_text = test_lang[\"clean_text\"].astype(str)\n","\n"," y_train_lang = train_lang[\"hate_label\"]\n"," y_val_lang = val_lang[\"hate_label\"]\n"," y_test_lang = test_lang[\"hate_label\"]\n","\n"," # Tokenize\n"," X_train_seq = tokenizer.texts_to_sequences(X_train_text)\n"," X_val_seq = tokenizer.texts_to_sequences(X_val_text)\n"," X_test_seq = tokenizer.texts_to_sequences(X_test_text)\n","\n"," X_train_lang = pad_sequences(X_train_seq, maxlen=MAX_LEN)\n"," X_val_lang = pad_sequences(X_val_seq, maxlen=MAX_LEN)\n"," X_test_lang = pad_sequences(X_test_seq, maxlen=MAX_LEN)\n","\n"," # Model\n"," model = Sequential()\n"," model.add(Embedding(input_dim=vocab_size, output_dim=300,\n"," weights=[embedding_matrix], trainable=False))\n"," model.add(Bidirectional(LSTM(128)))\n"," model.add(Dropout(0.5))\n"," model.add(Dense(1, activation=\"sigmoid\"))\n","\n"," model.compile(optimizer=\"adam\",\n"," loss=\"binary_crossentropy\",\n"," metrics=[\"accuracy\"])\n","\n"," # Train\n"," history = model.fit(\n"," X_train_lang, y_train_lang,\n"," validation_data=(X_val_lang, y_val_lang),\n"," epochs=8,\n"," batch_size=64,\n"," verbose=1\n"," )\n","\n"," # 🔹 TRAINING PLOTS (PER STRATEGY)\n","\n"," # Accuracy\n"," plt.figure()\n"," plt.plot(history.history['accuracy'])\n"," plt.plot(history.history['val_accuracy'])\n"," plt.title(f\"{lang} Accuracy\")\n"," plt.legend([\"Train\", \"Validation\"])\n"," plt.grid(True)\n"," plt.savefig(BASE_DIR + f\"/figures/{lang}_accuracy.png\")\n"," plt.show()\n","\n"," # Loss\n"," plt.figure()\n"," plt.plot(history.history['loss'])\n"," plt.plot(history.history['val_loss'])\n"," plt.title(f\"{lang} Loss\")\n"," plt.legend([\"Train\", \"Validation\"])\n"," plt.grid(True)\n"," plt.savefig(BASE_DIR + f\"/figures/{lang}_loss.png\")\n"," plt.show()\n","\n"," # Best epoch\n"," best_epoch = np.argmax(history.history[\"val_accuracy\"]) + 1\n","\n"," # Predictions\n"," y_prob_lang = model.predict(X_test_lang)\n"," y_pred_lang = (y_prob_lang > 0.5).astype(int)\n","\n"," # Metrics (UNCHANGED)\n"," accuracy = accuracy_score(y_test_lang, y_pred_lang)\n"," precision = precision_score(y_test_lang, y_pred_lang)\n"," recall = recall_score(y_test_lang, y_pred_lang)\n"," f1 = f1_score(y_test_lang, y_pred_lang)\n"," balanced_acc = balanced_accuracy_score(y_test_lang, y_pred_lang)\n"," auc = roc_auc_score(y_test_lang, y_prob_lang)\n","\n"," cm = confusion_matrix(y_test_lang, y_pred_lang)\n"," tn, fp, fn, tp = cm.ravel()\n"," specificity = tn / (tn + fp)\n","\n"," # 🔹 TESTING PLOTS (PER STRATEGY)\n","\n"," # Confusion Matrix\n"," plt.figure(figsize=(6,5))\n","\n"," sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues', # 🔵 Blue color like your image\n"," xticklabels=[0, 1], # Predicted labels\n"," yticklabels=[0, 1] # True labels\n"," )\n","\n"," plt.xlabel(\"Predicted Label\")\n"," plt.ylabel(\"True Label\")\n"," plt.title(f\"{lang} Confusion Matrix\")\n","\n"," plt.savefig(BASE_DIR + f\"/figures/{lang}_cm.png\", dpi=300)\n","\n"," plt.show()\n","\n"," # ROC Curve\n"," fpr, tpr, _ = roc_curve(y_test_lang, y_prob_lang)\n"," plt.figure()\n"," plt.plot(fpr, tpr)\n"," plt.title(f\"{lang} ROC Curve\")\n"," plt.xlabel(\"FPR\")\n"," plt.ylabel(\"TPR\")\n"," plt.grid(True)\n"," plt.savefig(BASE_DIR + f\"/figures/{lang}_roc.png\")\n"," plt.show()\n","\n"," # Precision-Recall Curve\n"," precision_vals, recall_vals, _ = precision_recall_curve(y_test_lang, y_prob_lang)\n"," plt.figure()\n"," plt.plot(recall_vals, precision_vals)\n"," plt.title(f\"{lang} Precision-Recall\")\n"," plt.xlabel(\"Recall\")\n"," plt.ylabel(\"Precision\")\n"," plt.grid(True)\n"," plt.savefig(BASE_DIR + f\"/figures/{lang}_pr.png\")\n"," plt.show()\n","\n"," # F1 Curve\n"," f1_curve = 2 * (precision_vals * recall_vals) / (precision_vals + recall_vals + 1e-8)\n"," plt.figure()\n"," plt.plot(recall_vals, f1_curve)\n"," plt.title(f\"{lang} F1 Curve\")\n"," plt.xlabel(\"Recall\")\n"," plt.ylabel(\"F1 Score\")\n"," plt.grid(True)\n"," plt.savefig(BASE_DIR + f\"/figures/{lang}_f1.png\")\n"," plt.show()\n","\n"," # Store results\n"," results_list.append({\n"," \"Strategy\": lang,\n"," \"Best Epoch\": best_epoch,\n"," \"Accuracy\": accuracy,\n"," \"Balanced Accuracy\": balanced_acc,\n"," \"Precision\": precision,\n"," \"Recall\": recall,\n"," \"Specificity\": specificity,\n"," \"F1 Score\": f1,\n"," \"AUC\": auc\n"," })"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"nJeg6AmLwfrs","executionInfo":{"status":"ok","timestamp":1774367177113,"user_tz":-330,"elapsed":58715,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"94a6f5d4-7c70-4984-c2a2-86a965248d02"},"execution_count":14,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","===============================\n","Training Strategy: english\n","===============================\n","Epoch 1/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 19ms/step - accuracy: 0.6468 - loss: 0.6203 - val_accuracy: 0.6358 - val_loss: 0.6402\n","Epoch 2/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 16ms/step - accuracy: 0.6894 - loss: 0.5788 - val_accuracy: 0.7038 - val_loss: 0.5891\n","Epoch 3/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 16ms/step - accuracy: 0.7096 - loss: 0.5641 - val_accuracy: 0.7131 - val_loss: 0.5762\n","Epoch 4/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 19ms/step - accuracy: 0.7227 - loss: 0.5440 - val_accuracy: 0.7218 - val_loss: 0.5741\n","Epoch 5/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 18ms/step - accuracy: 0.7244 - loss: 0.5386 - val_accuracy: 0.7071 - val_loss: 0.5737\n","Epoch 6/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 16ms/step - accuracy: 0.7230 - loss: 0.5383 - val_accuracy: 0.6998 - val_loss: 0.5589\n","Epoch 7/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 16ms/step - accuracy: 0.7283 - loss: 0.5300 - val_accuracy: 0.7185 - val_loss: 0.5594\n","Epoch 8/8\n","\u001b[1m141/141\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 16ms/step - accuracy: 0.7367 - loss: 0.5205 - val_accuracy: 0.7191 - val_loss: 0.5660\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m141/141\u001b[0m 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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VkldDhGR0eA1N0RVQE5OTrFrSH744Qfcu3evzOkXiIiqGx65IaoCoqOjMWnSJLz55puoXbs2jh8/jtWrV6NZs2Y4duyYpDNXExEZG15zQ1QFuLu7w83NDV9++aV4K++wYcMQFhbGYENE9AQeuSEiIiKTwmtuiIiIyKQw3BAREZFJqXbX3Gg0Gty6dQs2NjYVfvgZERERSUMQBGRmZqJu3bpPfR4VUA3Dza1bt+Dm5iZ1GURERFQJN27cQL169Z7ap9qFGxsbGwCFg2Nra6vTfavVauzYsUN8VDzpB8fZMDjOhsFxNhyOtWHoa5wzMjLg5uYm/h5/mmoXbopORdna2uol3FhZWcHW1pb/cPSI42wYHGfD4DgbDsfaMPQ9zuW5pIQXFBMREZFJYbghIiIik8JwQ0RERCaF4YaIiIhMCsMNERERmRSGGyIiIjIpDDdERERkUhhuiIiIyKQw3BAREZFJYbghIiIikyJpuNm7dy/69++PunXrQiaT4Y8//ihzm+joaLRt2xYqlQqenp5Yt26d3uskIiKiqkPScJOVlQUvLy8sW7asXP2vXbuGfv36oVu3boiNjcWHH36IUaNGYfv27XqulIiIiKoKSSfO7Nu3L/r27Vvu/itXrkTDhg2xcOFCAECzZs2wf/9+LF68GL1799ZXmeWSm1+A22kPcS8XSEx7CDMzdYW2t7Myh7Wq2s1jSkREpHNV6rdpTEwM/P39tdp69+6NDz/8sNRtcnNzkZubK65nZGQAKJy1VK2uWAB5mpM30jDw2yMAzDD7+L4Kb2+plGPr/3WCm72VzmoyVUXfN11+/6g4jrNhcJwNh2NtGPoa54rsr0qFm6SkJDg7O2u1OTs7IyMjAw8fPoSlpWWxbUJDQzF79uxi7Tt27ICVle6CRHwmoJQpKrWtWpDhoVqDjeF70MJe0FlNpi4yMlLqEqoFjrNhcJwNh2NtGLoe5+zs7HL3rVLhpjKmTp2KoKAgcT0jIwNubm7o1asXbG1tdfpeo9VqREZGomfPnlAqleXe7vWVh3AqMQPt2rVDtyaOOq3JFKkrOc5UMRxnw+A4Gw7H2jD0Nc5FZ17Ko0qFGxcXFyQnJ2u1JScnw9bWtsSjNgCgUqmgUqmKtSuVSr39cFd03zKZDABgZqbgP7gK0Of3kB7hOBsGx9lwONaGoetxrsi+qtRzbnx9fREVFaXVFhkZCV9fX4kqIiIiImMjabh58OABYmNjERsbC6DwVu/Y2FgkJCQAKDylNGzYMLH/2LFjERcXhylTpuDChQtYvnw5fvnlF0yaNEmK8omIiMgISRpujh49ijZt2qBNmzYAgKCgILRp0wYzZ84EANy+fVsMOgDQsGFDbN26FZGRkfDy8sLChQvx3XffSX4bOBERERkPSa+56dq1KwSh9LuDSnr6cNeuXXHixAk9VkVERERVWZW65oaIiIioLAw3REREZFIYboiIiMikMNwQERGRSWG4ISIiIpPCcENEREQmheGGiIiITArDDREREZkUhhsiIiIyKQw3REREZFIYbozAyZvpAICtp5IkroSIiKjqY7gxIjUtlVKXQEREVOUx3BiBwR3rAwBsLSWdx5SIiMgkMNwYAZnUBRAREZkQhhsiIiIyKQw3REREZFIYboiIiMikMNwYkT9jb0ldAhERUZXHcGMEzt7KAABcS81C+kO1xNUQERFVbQw3RsDXo7a4nJtfIGElREREVR/DjREY3aWR1CUQERGZDIYbI1CrhjnkfNgNERGRTjDcGJnha/7F0p2XpS6DiIioymK4MTLnb2dg8c5LUpdBRERUZTHcGAmNIHUFREREpoHhxgg52qikLoGIiKjKYrgxQry2mIiIqPIYbozE9+92wIRuHgCAO5m5fJgfERFRJTHcGAm/xo7o16quuP55xAUJqyEiIqq6GG6MiEZ4dFXx+sMJElZCRERUdTHcGBGXmhbicpfnHCSshIiIqOpiuDEiDtYq8bobcwW/NURERJXB36BGpkGtGlKXQEREVKUx3BAREZFJYbghIiIik8JwQ0RERCaF4YaIiIhMCsMNERERmRSGGyIiIjIpDDdGSii7CxEREZWA4cbIFPw3BcOuC3egLtBIXA0REVHVw3BjZJLSc8Tluw/yJKyEiIioamK4MTJv+NQTl2UyCQshIiKqohhujIxbLSuYyZlqiIiIKovhxgjlawqvu/ky6rLElRAREVU9DDdGbP3hBKlLICIiqnIYboiIiMikMNwQERGRSWG4MUI/j35eXE7LfnQ7eGLaQz77hoiIqAwMN0bIzkopLi+PvgoA+ONEIjqH7cK4n47h1eUH8GdsolTlERERGTUzqQug4h4/OhOX8gAA8OGmWADAzvN3AAAnb8TiFW9Xg9dGRERk7Hjkxgg1crQWl5u62OJMYnqxPhoB0Gg4AxUREdGTGG6MkLXKDEM61gcAfL37CsK2XSix35bjNw1ZFhERUZXAcGOkMnLyxeX9V1JL7PP3yVuGKoeIiKjKYLgxUofi7pbZp5VrTQNUQkREVLUw3BipD/2f01r/JKAZ5g5oiX1TusFaVXgdeFkTa6Znq3EnI+fpnYiIiEyM5OFm2bJlcHd3h4WFBTp27IgjR46U2letVmPOnDnw8PCAhYUFvLy8EBERYcBqDWdwh/pa66+1dcXQ5xvArZaV1szhpcnMUaPDvJ3otiAaD3Lzy+xPRERkKiQNN5s2bUJQUBBCQkJw/PhxeHl5oXfv3rhz506J/adPn45vvvkGX331Fc6dO4exY8fi1VdfxYkTJwxcuf7JnjgsU9taVazPst1XS7yTCiicdDM3X4OsvALcfZCrlxqJiIiMkaThZtGiRRg9ejRGjhyJ5s2bY+XKlbCyssKaNWtK7P/jjz9i2rRpCAgIQKNGjTBu3DgEBARg4cKFBq7cMPwaOwIAQl9rVWqfouffAIVPM37pq314c+VBrD0QL7bH3kjTU4VERETGR7KH+OXl5eHYsWOYOnWq2CaXy+Hv74+YmJgSt8nNzYWFhYVWm6WlJfbv31/q++Tm5iI399GRi4yMDACFp7jUavWzfIRiivanq/2Gvdoc8Xez0a6BvdY+s3IfLV+580B8bcqWkziTmFFsPz/GxCOghZNOajIGuh5nKhnH2TA4zobDsTYMfY1zRfYnEwRBkifB3bp1C66urjh48CB8fX3F9ilTpmDPnj04fPhwsW0GDx6MkydP4o8//oCHhweioqLwyiuvoKCgQCvAPG7WrFmYPXt2sfYNGzbAyspKdx/IgBacUuBGVuFpK09bDf6vhQbpecDMY4+yqplMQL5Q2OdFFw1eb8g5qYiIqOrKzs7G4MGDkZ6eDltb26f2rVLTLyxduhSjR49G06ZNIZPJ4OHhgZEjR5Z6GgsApk6diqCgIHE9IyMDbm5u6NWrV5mDU1FqtRqRkZHo2bMnlEpl2RtUkqx+Ej7YdAoAcCVDjh9v1UJhRE0T+7z7QkMUaASsPnAdz3k0RECfJnqrx9AMNc7VHcfZMDjOhsOxNgx9jXPRmZfykCzcODg4QKFQIDk5Was9OTkZLi4uJW7j6OiIP/74Azk5Obh79y7q1q2L4OBgNGrUqNT3UalUUKmKX4yrVCr19sOtz30DwMtt3JCWU4CZf54FABy9nlasz4TujbFs9xUAwOoD1+Foa4mxfh56q0kK+h5nKsRxNgyOs+FwrA1D1+NckX1JdkGxubk5fHx8EBUVJbZpNBpERUVpnaYqiYWFBVxdXZGfn49ff/0Vr7zyir7LNTq+jWoXa+vsWRvhH3TBgeDuqGmp1Jp7qrQpHIiIiEyNpKelgoKCMHz4cLRr1w4dOnTAkiVLkJWVhZEjRwIAhg0bBldXV4SGhgIADh8+jMTERHh7eyMxMRGzZs2CRqPBlClTpPwYkijpAX4Tunmied1Hp9qupWaJy885WRffgIiIyARJGm4GDRqElJQUzJw5E0lJSfD29kZERAScnZ0BAAkJCZDLHx1cysnJwfTp0xEXFwdra2sEBATgxx9/hJ2dnUSfQDryEtLNk0dz3mxXD1EXCp8Z5FDCc3KIiIhMkeQXFAcGBiIwMLDE16Kjo7XW/fz8cO7cOQNUZfwaOtTAWD8PZOaocf1uNoL7Ni324L8+Letg0UAvBP1yUqIqiYiIDE/ycEOVI5PJENy3aZn9zBSSz7BBRERkUPzNV00IEHAnIwd/xiZqXWhMRERkanjkppo4FHcPHeYV3plmb2WOF/+b2oGIiMjU8MiNicsuYUbwxLSHElRCRERkGAw3Jq6unWWxNitzhQSVEBERGQbDjYl7wdMB5k9cVLx891WJqiEiItI/hhsTJ5fLED6xC172qiu2XUzOxM372RJWRUREpD8MN9WAp5M1vny7DZxtHz3I72FegYQVERER6Q/DTTUS9lprcflQ3F1xOS07D1Hnk3mLOBERmQSGm2qkW1MncTnmv3CTX6CB95xIvPf9URy4mipVaURERDrD59xUU+Gnk7Box0XY1zAX24auPgIblRlc7S0R0r8FLM0VsFaZoaFDDfx98ha83OzQ0KGGhFUTERGVjeGmmmnpaosziRkAgC93XSn2emZuPi4kZeLtVYeKvebX2BHfv9tB7zUSERE9C56Wqmbee6FhpbfdcylFh5UQERHpB8NNNdOzuYvWXVMAMOOl5uXa1lKpwN0Hufooi4iISGcYbqoZa5UZDk3tgZ7NnQEA3Zs64d3O7lg7oj0iJ72IXf/zw3svNISDtQr9WtXR2vahugA+n+7E8YT7UpRORERULrzmphqSyWRYPqQtTiemw7ueHWQymdadVDNeao7p/ZpBJpNhaYEG525n4OWvD4ivT958Erv+11WCyomIiMrGcFNNKRVytK1vX+rrMpkMAGCmkKN1PTut1+JSsvRZGhER0TPhaSkql03vP48aj024+WdsooTVEBERlY7hhsqlY6Pa+H1CZ3F91l9nJayGiIiodAw3VG6udpbiMmdqICIiY8VwQ+VWQ2WGyb0aAwDSH6rRZ8le3LjH2cWJiMi4MNxQhbjVshKXLyRlYvfFOxJWQ0REVBzDDVXIk3dYzfzzLCLOJElUDRERUXEMN1QhLjUtUP+xozcAMPanY9hwOEGiioiIiLQx3FCFKBVy7PqfH17xrqvVPu330xJVREREpI3hhirMTCHHtIBmcLJRldrn4JVUfLcvDr/8e8OAlREREfEJxVRJzrYWOPKJP87dykDAl/sAACuir2L57ivIzM3X6uvjbg8PR2spyiQiomqI4YaeSSPHGuLy/IgLJfZ5kJNfYvvjBEHA7ycSYalUoO8TE3YSERFVBE9L0TOxUCrK7DP777KfZvz1risI+uUkxq0/DnWBRhelERFRNcVwQzrlYmuBV9u44si0HmLb8YQ0HLl2D5pSHmv8Z2wiFkZeEtf3XU7Re51ERGS6eFqKntmrbVxxKO4u1o/qiEaPXVsz1s8DK/dcBQAM/CYGzzeqhfWjnsfhuLtQKeWQy2T4IeY6/jl1S2t/7647iiuf9YWZgtmbiIgqjuGGntniQd4o0AhQyGVa7aO7NBTDDQAcirsHj2nhJe4joJULwk8/ehig5yfb0MixBno0dcKJhDT8NKpjuU6BERER8U9j0okngw1QvutxAKB2DXMsGuiN83P6aLXHpWRh1b5rOHr9Pv7v5xMAgBv3snHz/sNnL5iIiEwWj9yQ3tRQmWHNiHZ4kFuAD/4LJ0/q2dwZX7zRWgxCrVxr4nRierF+keeS4R68VVzvXlcO3+w8ONVU6qd4IiKqshhuSK+6N3WGRiPgp5jr0AgCJvVsjJird3Hgaiq+HtwWrnaWWv2/fLsNpv9xGgeu3H3qfnfdkiP8dBJGvOChz/KJiKgKYrghvZPLZfhlrC8EQYBMJkNnTwdMRpMS+zZ0qIH1o55HckYObtzLRm6+BkO+O1xi3we5Bfosm4iIqiiGGzIYmaz4dTmlcba1gLOtBQBg3cj2uJSciYBWdfBV1BVsOlo4pcOCyMuIPH8Hn73aCi1da+qlZiIiqnp4QTEZva5NnPD+ix6oZ2+F+W+0RmtXW/G1kzfTsXr/NQmrIyIiY8NwQ1XOtL7ap7TuZOZIVAkRERkjnpaiKsengT3m+uRj230nHIy7hwNX7iIrNx81VE//cdZoBNxKf4irKVlQymW4n63G0ev30KOpMxLTstG2vj3q2VvB0pzP0yEiqsoYbqhKsjUH/Bo74GDcPQBAi5DtaORQA/7NnfFqG1ecvZWB19u6IuJMEsatP44WdW1x9lZGiftaeyBea71+LSu82NgBIf1bQMmnJBMRVTkMN1RlOdqotNbjUrPw7d44fLs3DgDwxfYLSM7IBYBSg01JEu5l46dDCfjpUAKaONugfUN7jO/qibpP3LZORETGiX+WUpXVp4UzOnvWLvX1omDzNFbmCrzg6YDmdWxLfP1iciZ+OpSAjf/eqHSdRERkWDxyQ1WWUiHHD+92xOfbLyA+NQvbzyYX6zOwXT1YmZuhiYsN3mrvBplMhmupWVAXaPCckzXyCjRQmRVeY3PjXjY2H7uJc7fSsfP8Ha39fBl1GUE9GxvkcxER0bNhuKEqTSGXYWrfZgCAr3ddRvpDNf7XqwlW778GRxsV3vSpV+z5Og0daojLRcEGANxqWSGoZ2Pk5WtwOjENtWqoELB0Hx6q+bBAIqKqhOGGTEZg9+fE5QndPCu9H3MzOXwa1AIAfNS7Ceb8cw5A4S3nTjYWz1YkERHpHa+5IXqKwR3ri8sdPotCVm6+hNUQEVF5MNwQPUXRbOVFWoRsx8WkTImqISKi8mC4ISrDuTm9tdZ7L9mLjzafxHf74pCWnSdRVUREVBqGG6IyWJmbYVpAU622zcdu4tOt5/Ha8oMSVUVERKVhuCEqh/df9MDpWb2KtcelZuHg1VQJKiIiotIw3BCVk42FEnHzAvD7+E54wdNBbP9s63kJqyIioicx3BBVgFwuQ5v69vhpVEexrSJTOxARkf4x3BBV0uNPLN70bwJW7Y1DgUaQsCIiIgIYbogqrU9LF3H5419P47Pw8/jp0HUJKyIiIoDhhqjSaqiKP+D7VtpDCSohIqLHSR5uli1bBnd3d1hYWKBjx444cuTIU/svWbIETZo0gaWlJdzc3DBp0iTk5OQYqFqiR1ztLOHbqHBW8to1zAEA3+yNk7IkIiKCxOFm06ZNCAoKQkhICI4fPw4vLy/07t0bd+7cKbH/hg0bEBwcjJCQEJw/fx6rV6/Gpk2bMG3aNANXTlTo5/efR3xYP3R5zqHszkREZBCShptFixZh9OjRGDlyJJo3b46VK1fCysoKa9asKbH/wYMH0blzZwwePBju7u7o1asX3n777TKP9hDp2+gXG4nLf8YmSlgJERFJNit4Xl4ejh07hqlTp4ptcrkc/v7+iImJKXGbTp064aeffsKRI0fQoUMHxMXFITw8HEOHDi31fXJzc5GbmyuuZ2QU3rarVquhVqt19Gkg7vPx/5J+GOM4N3a0EpcnbozF9dQHGPWCO5SKR38/ZOXmY8Zf5/D3qSR8+04bdGviiNvpOfj71G00rF0DCoUM3Ro7QCaTAQAEQUB2XgFUZnKYKQz/d4gxjrMp4jgbDsfaMPQ1zhXZn0wQBEnuXb116xZcXV1x8OBB+Pr6iu1TpkzBnj17cPjw4RK3+/LLLzF58mQIgoD8/HyMHTsWK1asKPV9Zs2ahdmzZxdr37BhA6ysrErYgqhyZh5TID1PJq77uWgwwF2DG1nAthtynE8rO6DUVgmY2bYANx4AC04/+tujdS0NTt2Tw8FCwP81L4CdSi8fgYjIaGVnZ2Pw4MFIT0+Hra3tU/tWqXATHR2Nt956C59++ik6duyIK1euYOLEiRg9ejRmzJhR4vuUdOTGzc0NqampZQ5ORanVakRGRqJnz55QKpU63Tc9YqzjnKMuQKs5UXp/n66NHbBqaFu9v4+xjrOp4TgbDsfaMPQ1zhkZGXBwcChXuJHstJSDgwMUCgWSk5O12pOTk+Hi4lLiNjNmzMDQoUMxatQoAECrVq2QlZWF999/H5988gnk8uJ/GatUKqhUxf/MVSqVevvh1ue+6RFjG2elUomr8wIwfM0R7L9SfL4pF1sL/DLGF29+cxDJGYWBu1+rOnCwNodGAH584hk5NhZmyMzJL7af6EupyBfksDRX6OeDPMHYxtlUcZwNh2NtGLoe54rsS7JwY25uDh8fH0RFRWHAgAEAAI1Gg6ioKAQGBpa4TXZ2drEAo1AU/g9eogNQRFoUchm+G94OTWdEiG0jOrnj/7p7orZ1YcjeO6UbzBVy8dqaIgWCgA2HEwAAs/o3x/BO7jgUdw/XUrPwinddxFy9i1E/HAUANJsZgWkBTfH+ix4G+mRERFWHZOEGAIKCgjB8+HC0a9cOHTp0wJIlS5CVlYWRI0cCAIYNGwZXV1eEhoYCAPr3749FixahTZs24mmpGTNmoH///mLIIZKahVKBa6EBOJ2YjoYONWBjof3Xhsqs5J/Vea+2wrxXW2m1+XrUhq9H4bN0ejRz0u4ffgHOthaY9ttp9GlZB9MCmuLm/Ydo4mIDCyX/PRBR9SVpuBk0aBBSUlIwc+ZMJCUlwdvbGxEREXB2dgYAJCQkaB2pmT59OmQyGaZPn47ExEQ4Ojqif//++Oyzz6T6CEQlkslkaF3PTuf7nN6vGT59bBbyiRtjAQC/Hr+JX4/fFNv7tnTB/Ddaw9aCh96JqPqRNNwAQGBgYKmnoaKjo7XWzczMEBISgpCQEANURmR8RnVphHeeb6B12qsk284kYduZJCwa6IXX2tYzUHVERMahUuGmoKAA69atQ1RUFO7cuQONRqP1+q5du3RSHBEVZ6FU4Oh0f3wZdRk+Dezh4WiNgd/E4BVvV/x8JEGr7+G4eww3RFTtVCrcTJw4EevWrUO/fv3QsmXLYhdGEpF+OVirMOeVluL6uTl9AAChr7VCfGoWui6IBgD8e/2e2Cf9oRrrD19HB/daaOdey6D1EhEZUqXCzcaNG/HLL78gICBA1/UQ0TNyd6iBtzu44ecjNxCXkoWhqw8jv0BATNxdsU9/r7r48i1v/mFCRCapUuHG3Nwcnp6euq6FiHSke1Nn/HzkBgBg3+Xiz9z5++QtmMllGNyxPjwcrVHrv1nNiYhMQaUmrPnf//6HpUuX8tkyREaqR1MntGtgL64rFTK890JDvNS6jtj2+4lEvLkyBm3nRuLug8KHCt7JzEFevvY1dKkPcou1EREZs0odudm/fz92796Nbdu2oUWLFsWeGvjbb7/ppDgiqhy5XIYt4zrh5I00XE15gJe96oqTbzarcwVfbL+o1d/n051a6x/1boLB7V3xS5wcE2P2iO3bP3wRTVxsUKARoJDzlBYRGadKhRs7Ozu8+uqruq6FiHTMy80OXm52Wm0TunlCZSbH0fj7iDibVOJ2X2y/+F8A0j6423vJXtSpaYHb6TlYP6ojOns6IEddAHOFHHKGHSIyEpUKN2vXrtV1HURkQKO6NMKoLsDxhPuY9ddZnLqZXmI/e3MBbRs5IepCith2Oz0HADDku8P4oLsnvtx1BQDgXtsK73VphItJGZj5UguYm1XqrDcR0TN7pof4paSk4OLFwsPbTZo0gaOjo06KIiLDaFvfHn8FvqDVtuXYTUzefBJv+riiveI6Xu3fBkmZanT5fHex7YuCDQDE383GjD/OAAB+OpSAq/MCcD87D1tP3caANq6oacmnJRORYVQq3GRlZeH//u//8MMPP4gP8FMoFBg2bBi++uorWFlZ6bRIIjKcN3zq4Q2felCr1QgPL5yp3K2WFf79xB82FmbIzitA27mRZe7HY1q4uBzy11l8OqAlpv9xBmtGtMOpm+lYsvMyAOD4jJ68W4uIdKpS4SYoKAh79uzB33//jc6dOwMovMj4gw8+wP/+9z+sWLFCp0USkfQcbQpnNbdQKrBlrC+OJ9zH2x3qw9xMjuT0XGw7cxsve9eFb2jJTyif/t9RnXfXHdVqbzs3EvFh/fRbPBFVK5UKN7/++iu2bNmCrl27im0BAQGwtLTEwIEDGW6ITFy7J55yXL+2Fcb4eQAAdkx6Eb0W7wUA8WhNWab9fhrbTt/G/Ww1AGDFkLbo26pOGVsREZWsUuEmOztbnLn7cU5OTsjOzn7mooio6mrsbIOLn/aBQiaDmUKO19vWw8GrqfBys8P1u9m4lJyJV9u4Iik9R5wmYsNh7Tmxxq0/jtOzesGGs5oTUSVUKtz4+voiJCQEP/zwAywsLAAADx8+xOzZs+Hr66vTAomo6lGZKcRlS3MFejQr/GPIwVoFn/8eLujuUOOp+2g1a4e43LO5M5YNbss7sIioXCoVbpYuXYrevXujXr168PLyAgCcPHkSFhYW2L59u04LJCLTdW5Ob+y9lIIXGztCLpMh46EaHeZFFesXeS4Zi3dewsd9mkpQJRFVNZX6M6hly5a4fPkyQkND4e3tDW9vb4SFheHy5cto0aKFrmskIhNlZW6GPi3rwMrcDBZKBZxsLbBtYpcS+66Ivor8Ak4DQURlq/RzbqysrDB69Ghd1kJEhGZ1bLXunvq/n0/g75O3AACen2zD3o+6oX7twsdNpGXn4ZejN+Bsa4FGDtb4MzYR97LzoJAVTgrapr59ie9BRKat3OHmr7/+Qt++faFUKvHXX389te/LL7/8zIUREQHAxB7PieEGAF78ovjDBEuy+dhNcTnstVZ4q0N9nddGRMap3OFmwIABSEpKgpOTEwYMGFBqP5lMhoKCAl3URkQETydr/PuJP9p/trPszqUI/u00Gjlao0PDWmV3JqIqr9zhpuhJxE8uExHpm6ONCt8Na4dRPzx6AKBXvZoY6uuOWjWUiDx3B0OfbwBPJ2soFTKsP5xQ7Pk6A7+JAQAsfcsbr3i7AgAe5hVgz6U76NCwNp+STGRCnmluqcelpaXBzs5OV7sjItLi39y51CcZd2+q/dytd55vgHeebwAA6PDZTtzJzBVfm7gxFncycpGY9hA/HbqOfI0gvtajqRNWj2iPrNx8WJkrIJNxpnOiqqhSd0vNnz8fmzZtEtfffPNN1KpVC66urjh58qTOiiMielaHp/XAoHZuWm2fhZ/HuoPxWsEGAKIu3EHDqVvRImQ7Gk4Nx8w/y366MhEZn0qFm5UrV8LNrfB/FpGRkdi5cyciIiLQt29ffPTRRzotkIjoWchkMsx/ozU2j9V+wGgNcwXmvNICS9/yRmNna7FdeCzv/BBzHe7BW+EevBXzws8jNPw8gn6J5S3pREauUqelkpKSxHDzzz//YODAgejVqxfc3d3RsWNHnRZIRKQL7d1rYelb3rBUKtCsji0cbVSwUBY+SfkVb1d8ty8On249j+cb1cKhuHvFtv92b5y4/NvxRFwLDeBpKyIjVakjN/b29rhx4wYAICIiAv7+/gAAQRB4pxQRGa1XvF3Rq4UL3GpZicGmyKgujXDp077Y+L4v4sP6oV/rp0/c2XBquD5LJaJnUKkjN6+99hoGDx6M5557Dnfv3kXfvn0BACdOnICnp6dOCyQiMpTH565aNrgtlg0uXI5PzcKFpEy0c7dHu08f3ZKe/lCNiDO30aFhbTQsY64sIjKcSoWbxYsXw93dHTdu3MDnn38Oa+vC89W3b9/G+PHjdVogEZHU3B1qiBN9RnzYBX2W7AMAeM1+NLnnq21csWigF09VERmBSoUbpVKJyZMnF2ufNGnSMxdERGTMmrrYltj++4lE/H4iEQDQroE9No/1ZdAhkginXyAiqqDzc/pgzj9n0dnTAYsiLyEuJUvr9aPX7xe7Jse/mTO+G95OXM9RF+BuVh4crbSv/SGiZ8fpF4iIKsjSXIHQ11oDAF5qXRc37mVjypZTiIm7W+o2O88nw2NaOARBwBOP1wFghokxhae4vhnqg94tXPRUOVH1wOkXiIiekVstK/z8/vMAgDsZOfh8+0VseWziziIFxVNNMWN+PIbfxndCW85oTlRpOpt+gYiIACdbCyx40wsL3vQS2345egNTtpwS130a2GOYbwOcvpmO7/ZfK7aP15YfxMVP+0BlxlNWRJVRqXDzwQcfwNPTEx988IFW+9dff40rV65gyZIluqiNiMgkDGznhlfbuEKp0H602Cvervi493MIDw9H37590XhmpPhak+kRcLJRoZ27PerXqoGP+zSBRgAUcl6kTFSWSj3E79dff0Xnzp2LtXfq1Albtmx55qKIiEzNk8HmSTKZDBfm9tFqu5OZi/DTSVi55yoaTg2Hx7RwuAdvxb/xxZ+gTESPVCrc3L17FzVr1izWbmtri9TU1GcuioioOrJQKnAwuHuZ/d5cGYPGn2zDhsMJBqiKqOqp1GkpT09PREREIDAwUKt927ZtaNSokU4KIyKqjuraWSI+rB+AwtvFLyZlIvpiCu5n52HdwXixX16BBtN+P43V++PwcZ+miDiThFfauMLVzhIz/jiDuNQH8Glgj4NX7+L49J6Q83QWVSOVCjdBQUEIDAxESkoKuncv/CsjKioKCxcu5PU2REQ6YqFUwMvNDl5udgCAkP7N0Xr2DmTm5It9rqZk4f0fjwEAfvvvIYJFwk8nAQAaTQvHvind4FbLyjCFE0msUuHm3XffRW5uLj777DPMnTsXAODu7o4VK1Zg2LBhOi2QiIgKyWQynJ7VGwAw959zWF3CnVal6fL5bjSobYXrd7NxalYv2Foo9VUmkeQqfSv4uHHjMG7cOKSkpMDS0lKcX4qIiPRvxkvNMS2gGU7dTEMjR2soFTLsOJuMNvXt0KB24TxYufkFaDI9Qtzm+t1sAEDrWY/mxBrRyR2TezeBlVKBfVdSseXYTfRp4VLmrOhExqzS4SY/Px/R0dG4evUqBg8unDr31q1bsLW1ZdAhIjIAhVyGNo897G9AG1et11VmCoT0b47Zf58rdR/rDsZrXcsDAH+fvIUJGwqflty1iSOft0NVTqXCzfXr19GnTx8kJCQgNzcXPXv2hI2NDebPn4/c3FysXLlS13USEVEljOzcECM7NwQAZOSosSL6Ks7eysDeSyllbjvmv2t5Fr7phb6tXGBlzue+UtVQqZ/UiRMnol27djh58iRq164ttr/66qsYPXq0zoojIiLdsbVQ4uM+TcX1vHwN2n+2EwAw9PkGGNvVA6dupGHwd4e1tvvf5pP43+aTeMHTAWtGtEdWbj7yNQIcbVQGrZ+ovCoVbvbt24eDBw/C3Nxcq93d3R2JiYmlbEVERMbE3EyOkyG9tNo6eTogPqwfsnLz8fLX+3H1sRnP919JRePp27T6h77WCgPbuSFfo8G200nIy9dgYHs3g9RPVJpKhRuNRlPizN83b96EjY3NMxdFRETSqqEyQ9T/uiIx7SH+vXYPH26KLbHf1N9OY+pvp7Xapvx6CjuDXoSnE38fkDQq9YTiXr16aT3PRiaT4cGDBwgJCUFAQICuaiMiIom52lliQBtXbB7rC3MzOb56uw02jOpY5nb+i/bi2PX7uHk/GzfvZxugUqJHKnXkZsGCBejTpw+aN2+OnJwcDB48GJcvX4aDgwN+/vlnXddIREQSa+9eC5c+7Suux4f1gyAImPrbacSlZmFwh/qwUCow9qdjYp/XVxzU2se0gKYY2blhmfNsET2rSoUbNzc3nDx5Eps2bcLJkyfx4MEDvPfeexgyZAgsLS11XSMRERkhmUyGsNdba7XFh/WDx7RwFGiEYv3nhV/AvPALaFDbCtGTu0Im45QQpB8VDjdqtRpNmzbFP//8gyFDhmDIkCH6qIuIiKqoq/MCcCvtIS4mZyI1MxcfbTml9fr1u9loODVcnEOLSNcqHG6USiVycnL0UQsREZmIunaWqGtXeCT/zXZuyMrNx1e7rmDlnqtin4S72ahfm/Ndke5V6sTnhAkTMH/+fOTn55fdmYiIqr0aKjME922qdd3Oi1/sxvazSRJWRaaqUtfc/Pvvv4iKisKOHTvQqlUr1KhRQ+v13377TSfFERGRaTE30/6buugpyJzMk3SpUuHGzs4Or7/+uq5rISKiauDXcb54fUWMVlvRZJ57P+qGAkHAlmM3UKuGCiM6uUMh54XHVDEVCjcajQZffPEFLl26hLy8PHTv3h2zZs3iHVJERFRuPg1qIT6sH+JSHqD7wj1ar734xW6t9bn/FE76+fXgNohPzcLLXq68TofKVKFrbj777DNMmzYN1tbWcHV1xZdffokJEyboqzYiIjJhjRytER/WD6NeaFhm38ANJ7BgxyW8+MVucT4sotJUKNz88MMPWL58ObZv344//vgDf//9N9avXw+NRqOv+oiIyMRNf6k54sP6YayfB/q1qoN9U7rh3JzeWPCmV4n9UzJz4R68FSF/noEgFH+eDlGFTkslJCRoTa/g7+8PmUyGW7duoV69ejovjoiIqo/gvk211t/wqYfX27pi6+nbaO9eC1fuPMCQx2Ys/z7mOr6PuY429e2waKA3GjrUQGaOGuGnbyPx/kOYm8mxYMclBHbzxOTeTQz9cUhCFTpyk5+fDwsLC602pVIJtVr9TEUsW7YM7u7usLCwQMeOHXHkyJFS+3btWvhUyye/+vXjw6CIiEyNTCbDS63rwtnWAp09HRDxYZdifU4kpKHbgmi4B29Fq1k78PGvp/HlritYsOMSAODr3VfQ78t9yMvnWYbqokJHbgRBwIgRI6BSqcS2nJwcjB07Vut28IrcCr5p0yYEBQVh5cqV6NixI5YsWYLevXvj4sWLcHJyKtb/t99+Q15enrh+9+5deHl54c0336zIRyEioiqoqYst4sP64X5WHtrMjSz3dmdvZaDF7J3wtJWjdx8BOTlqbDudhKgLyfj8DS/UtORt6KakQuFm+PDhxdreeeedZypg0aJFGD16NEaOHAkAWLlyJbZu3Yo1a9YgODi4WP9atWpprW/cuBFWVlYMN0RE1Yh9DXNx8s6TN9MRGn4eTVxs8Ip3XbStby/OW7X56A2t6R+uZMjRNEQ7FG0/u0Nc7tCwFn4Z42uYD0F6U6Fws3btWp2+eV5eHo4dO4apU6eKbXK5HP7+/oiJiXnKlo+sXr0ab731VrEHCRIRkemTyWTwdrPDplICyZvt3NCruQsm/RKLXRfulLm/I9fu4Xb6Q9SpyUecVGWVeoifrqSmpqKgoADOzs5a7c7Ozrhw4UKZ2x85cgRnzpzB6tWrS+2Tm5uL3NxccT0jIwNA4QSgz3qt0JOK9qfr/ZI2jrNhcJwNg+Osf1ZK4Jsh3jh4+Q6WbzuO7m2bwMe9FhrWtsKMv87B0lyBw9fu4+b9hwAA39BdODG9O6xVkv6KrLL09TNdkf3JBAnvo7t16xZcXV1x8OBB+Po+St1TpkzBnj17cPjw4adsDYwZMwYxMTE4depUqX1mzZqF2bNnF2vfsGEDrKz4ICgiIio0MUY7zLxcvwA9XHmrubHIzs7G4MGDkZ6eDltb26f2lTSWOjg4QKFQIDk5Was9OTkZLi4uT902KysLGzduxJw5c57ab+rUqQgKChLXMzIy4Obmhl69epU5OBWlVqsRGRmJnj17QqnkxWn6wnE2DI6zYXCcDaessQ4IAJ6b8ej6m78SFJg30h8qs0rNMV1t6etnuujMS3lIGm7Mzc3h4+ODqKgoDBgwAEDhFA9RUVEIDAx86rabN29Gbm5umRc0q1Qqrbu7iiiVSr39j0Sf+6ZHOM6GwXE2DI6z4TxtrFe+0xZjfzoursdcS0PP5s4l9qWn0/XPdEX2JXkcDQoKwqpVq/D999/j/PnzGDduHLKyssS7p4YNG6Z1wXGR1atXY8CAAahdu7ahSyYiIhPVp2UdxIc9em7a6B+OSlgNVZbkV0sNGjQIKSkpmDlzJpKSkuDt7Y2IiAjxIuOEhATI5doZ7OLFi9i/fz927NhR0i6JiIieSd2aFriVngMAcA/eirkDWmLo8w0krorKS/JwAwCBgYGlnoaKjo4u1takSRPOJ0JERHqzZ0o3PPfJNnF9xh9nMOOPMwCAuHkBkMtlUpVG5SD5aSkiIiJjo1TIceWzvrCzKn6dx5ZjNyWoiCqC4YaIiKgEZgo5Ymf2woZRHdHE2UZsn/LrKbgHb8Wx6/ckrI6ehuGGiIjoKTp5OmD7pBe1Ag4AvL6ifE/SJ8NjuCEiIiqHlUN9irWdvZUuQSVUFoYbIiKicmjoUAPxYf1wdnZvsa3fl/sx7qdjElZFJTGKu6WIiIiqihpPzDm17UwS3IO3AgBeal0HX73dRpyVnKTBIzdEREQVFB/WD885WRdr/+fUbTScGo78Ao0EVVERhhsiIqJKiAzy0zpF9biei/cauBp6HMMNERFRJdVQmSE+rB/iw/rh8md9xfZrqVlwD96KzBy1hNVVXww3REREOqBUyPHHhM5aba1m7YB78FY+Vd/AGG6IiIh0xNvNDidn9irW3mPhHgmqqb4YboiIiHSoppUScfMCsHZke7EtLjULD/MKJKyqemG4ISIi0jG5XIZuTZzww7sdxLZmMyPgHrwVb6w4KGFl1QPDDRERkZ682NixWNvR6/fRZs4OCaqpPhhuiIiI9OjodP9ibfez1Wg1azvvptITPqGYiIhIjxysVYgP6wcAiL2RhgHLDgAAMnPy0WrWDrR3t8fakR1greKvZF3hkRsiIiID8Xazw+/jO2m1/Rt/Hy1DtqPNnB3IUfOiY11guCEiIjKgNvXt8fPo54u1389Wo+mMwouOb9zLlqAy08FwQ0REZGC+HrURH9YPcfMCML6rR7HXu3y+G9EX70hQmWlguCEiIpKIXC7DlD5NcS00AM3q2Gq9NmLtv7iTkSNRZVUbww0REZHEZDIZtk3sgviwfmhQ20ps7zAvCu7BWyWsrGpiuCEiIjIiez7qBi83O602n7mR0hRTRTHcEBERGZk/J3TG6uHtxPW7WXmYvPmkhBVVLQw3RERERqhHM2f8Ou7RbeNbjt2Ee/BWuAdvxZ+xiRJWZvwYboiIiIyUTwN7vNbWtVj7xI2x+PvkLQkqqhoYboiIiIzYooHe+PcTf/Ro6qTV/n8/n8D52xkSVWXcGG6IiIiMnKONCqtHtEd8WD8Mfb6B2N536T4cirsrYWXGieGGiIioCpk7oCU8nazF9be+PcRpG57AcENERFTF7Azyg4Xy0a/wpjMi8NHmk9h4JAHLo69AXaCRsDrpMdwQERFVQedm99Fa33zsJoJ/O43PIy7iuU+2SVSVcWC4ISIiqoLkchmuhQbAwdq8xNdvpz80cEXGw0zqAoiIiKhyZDIZjk7viRx1ATJz8iGXAT6f7gQA+IbuwvzXW2FQ+/oSV2l4PHJDRERUxVkoFXC0UaG2tUqr/eNfT+P63SyJqpIOww0REZEJiQ/rh3r2luK63xfR+OdU9XrgH8MNERGRidn/cXet9cANJ3DyRpo0xUiA4YaIiMgExYf1g3+zR081fmXZAfx46LqEFRkOww0REZGJ+nZoO631pGpyBxXDDRERkYmSy2WID+uHN3zqAQBW7b0mcUWGwXBDRERk4pIzcgAAeQUauAdvxdTfTiMv33SfYsxwQ0REZOI+7tNUa/3nIwloPN10n2LMcENERGTiWrrWxJCOxR/mdzT+HgRBkKAi/WK4ISIiqgY+e7UV4sP64eTMXmLbGytjMPef8xJWpR8MN0RERNVITSul1vqaA9dM7vobhhsiIqJq5lpoAOa+0kJcbzx9G/6MTZSwIt1iuCEiIqpmZDIZhvq6a7VN3BgrSS36wHBDRERUTV0LDYBc9mh966nb0hWjQww3RERE1ZRMJsO5OX3E9QkbjktYje4w3BAREVVjFkoFujd1KrtjFcJwQ0REVM2990JDcfng1VQJK9ENhhsiIqJqrpNHbXF58KrDaDYjQsJqnh3DDRERUTUnk8nQwb2WuP5QXYDUB7kSVvRsGG6IiIgIv4z1xc+jnxfX2326U8Jqng3DDREREQEAfB87PQUAPRZGI0ddIFE1lcdwQ0RERKKDwd3F5aspWVi1N07CaiqH4YaIiIhEde0sMbKzu7i+MPIS4lOzpCuoEhhuiIiISEtI/xbo17qOuB7w5T4Jq6k4ycPNsmXL4O7uDgsLC3Ts2BFHjhx5av+0tDRMmDABderUgUqlQuPGjREeHm6gaomIiKqHpYO8xeXsvAJk5+VLV0wFSRpuNm3ahKCgIISEhOD48ePw8vJC7969cefOnRL75+XloWfPnoiPj8eWLVtw8eJFrFq1Cq6urgaunIiIyLSZKeTYMLqjuO73RbR0xVSQmZRvvmjRIowePRojR44EAKxcuRJbt27FmjVrEBwcXKz/mjVrcO/ePRw8eBBKpRIA4O7ubsiSiYiIqg3fRo/unkrJzIUgCJDJZE/ZwjhIduQmLy8Px44dg7+//6Ni5HL4+/sjJiamxG3++usv+Pr6YsKECXB2dkbLli0xb948FBRUvdvUiIiIjJ1MJkP05K7i+s37D6UrpgIkO3KTmpqKgoICODs7a7U7OzvjwoULJW4TFxeHXbt2YciQIQgPD8eVK1cwfvx4qNVqhISElLhNbm4ucnMfPWUxIyMDAKBWq6FWq3X0aSDu8/H/kn5wnA2D42wYHGfD4VhXjmtNc3H54JU7eK3N0y8F0dc4V2R/kp6WqiiNRgMnJyd8++23UCgU8PHxQWJiIr744otSw01oaChmz55drH3Hjh2wsrLSS52RkZF62S9p4zgbBsfZMDjOhsOxrozCuLA66jQsbp8s1xa6Hufs7Oxy95Us3Dg4OEChUCA5OVmrPTk5GS4uLiVuU6dOHSiVSigUCrGtWbNmSEpKQl5eHszNzYttM3XqVAQFBYnrGRkZcHNzQ69evWBra6ujT1NIrVYjMjISPXv2FK8JIt3jOBsGx9kwOM6Gw7GuvIkxOwAAl9LleKFbD9halj5++hrnojMv5SFZuDE3N4ePjw+ioqIwYMAAAIVHZqKiohAYGFjiNp07d8aGDRug0WgglxdeLnTp0iXUqVOnxGADACqVCiqVqli7UqnU2w+3PvdNj3CcDYPjbBgcZ8PhWFfc/3o2xsLISwAAn3m7ETO1O+rUtHzqNroe54rsS9JbwYOCgrBq1Sp8//33OH/+PMaNG4esrCzx7qlhw4Zh6tSpYv9x48bh3r17mDhxIi5duoStW7di3rx5mDBhglQfgYiIyOSNfrGR1rpv6C6jnnNK0mtuBg0ahJSUFMycORNJSUnw9vZGRESEeJFxQkKCeIQGANzc3LB9+3ZMmjQJrVu3hqurKyZOnIiPP/5Yqo9ARERk8iyUCsSH9YN78Fax7aMtp/DV220krKp0kl9QHBgYWOppqOjo6GJtvr6+OHTokJ6rIiIioic9HnDCT9822nAj+fQLREREVHW8+t+t4AUaQeJKSsdwQ0REROXm19hRXDbWgMNwQ0REROXWsVEtcfn3E4kSVlI6hhsiIiIqt8dvAVcYaYow0rKIiIjIWHV5zkHqEp6K4YaIiIhMCsMNERERVcrDPI3UJZSI4YaIiIgq5H52HgBgxZ4rEldSMoYbIiIiqpC7DwrDzY17D/EgN1/iaopjuCEiIqIKmfVyC3G5Zch2CSspGcMNERERVUjvFi5a60npORJVUjKGGyIiIqqwg8HdxeWd55MlrKQ4hhsiIiKqsLp2jx7mN/2PMxJWUhzDDRERET2zW2kPpS5BxHBDRERElfLz6OfF5UNxdyWsRBvDDREREVWKr0dtcTnxPo/cEBERkQlw/e/am4WRlySu5BGGGyIiIqo0B2tzcTk5wzhuCWe4ISIiokrbNMZXXJ4fcUHCSh5huCEiIqJKs1AqxOXIs8bxvBuGGyIiInom/s2cAACZRjLPFMMNERERPZP+XnWlLkELww0RERE9k3butaQuQQvDDRERET0TmdQFPIHhhoiIiJ6JmfxRvLltBDOEM9wQERHRM3G0UYnLmTlqCSspxHBDREREz0Qmk8FaZSZ1GSKGGyIiInpm+RoNAODo9TRpCwHDDREREelAjrow3FgopY8W0ldAREREVV7XJo5SlyBiuCEiIqJnJgiF/83LF6QtBAw3REREpANFd0lFGMH8Ugw3RERE9Myy8woAAI0ca0hcCcMNERER6UDP5s4AgOMJ9yWuhOGGiIiIdCDpvycTn72VKXElDDdERESkA20b2EtdgojhhoiIiJ6ZX+NHt4JnSTwDA8MNERERPTOnx+aXSme4ISIioqrOTCGHg7W51GUAYLghIiIiE8NwQ0RERCaF4YaIiIhMCsMNERERmRSGGyIiIjIpDDdERERkUhhuiIiISCdy1RoAQDafc0NERESmIDM3HwBw+6FM0joYboiIiEgnip5SbC5xumC4ISIiIp1oVscWAFAgSFsHww0RERHpRHZe4WmpE3d5WoqIiIhMwP3/riR2tpS2DoYbIiIi0omAli5SlwCA4YaIiIhMDMMNERERmRSGGyIiItIpgXdLERERkSnQ/Bdq9idLGy8YboiIiEgnMnIK75ZqYC3toRujCDfLli2Du7s7LCws0LFjRxw5cqTUvuvWrYNMJtP6srCwMGC1REREVJIXPB0AANI+5cYIws2mTZsQFBSEkJAQHD9+HF5eXujduzfu3LlT6ja2tra4ffu2+HX9+nUDVkxERETGTPJws2jRIowePRojR45E8+bNsXLlSlhZWWHNmjWlbiOTyeDi4iJ+OTs7G7BiIiIiMmZmUr55Xl4ejh07hqlTp4ptcrkc/v7+iImJKXW7Bw8eoEGDBtBoNGjbti3mzZuHFi1alNg3NzcXubm54npGRgYAQK1WQ63W7ZzsRfvT9X5JG8fZMDjOhsFxNhyOtf4VFBSIy/r6HVsekoab1NRUFBQUFDvy4uzsjAsXLpS4TZMmTbBmzRq0bt0a6enpWLBgATp16oSzZ8+iXr16xfqHhoZi9uzZxdp37NgBKysr3XyQJ0RGRuplv6SN42wYHGfD4DgbDsdaf87ck0Epk8NMrvtxzs7OLndfmSBIdzf6rVu34OrqioMHD8LX11dsnzJlCvbs2YPDhw+XuQ+1Wo1mzZrh7bffxty5c4u9XtKRGzc3N6SmpsLW1lY3H+SxWiIjI9GzZ08olUqd7pse4TgbBsfZMDjOhsOxNgx9jXNGRgYcHByQnp5e5u9vSY/cODg4QKFQIDk5Was9OTkZLi7lm59CqVSiTZs2uHLlSomvq1QqqFSqErfT1w+3PvdNj3CcDYPjbBgcZ8PhWBuGrse5IvuS9IJic3Nz+Pj4ICoqSmzTaDSIiorSOpLzNAUFBTh9+jTq1KmjrzKJiIioCpH0yA0ABAUFYfjw4WjXrh06dOiAJUuWICsrCyNHjgQADBs2DK6urggNDQUAzJkzB88//zw8PT2RlpaGL774AtevX8eoUaOk/BhERERkJCQPN4MGDUJKSgpmzpyJpKQkeHt7IyIiQrzIOCEhAXL5owNM9+/fx+jRo5GUlAR7e3v4+Pjg4MGDaN68uVQfgYiIiIyI5OEGAAIDAxEYGFjia9HR0VrrixcvxuLFiw1QFREREVVFkj/Ej4iIiEiXGG6IiIjIpDDcEBERkUlhuCEiIiKTwnBDREREJoXhhoiIiEwKww0RERGZFIYbIiIiMikMN0RERGRSjOIJxYYkCAKAwqnTdU2tViM7OxsZGRmccVaPOM6GwXE2DI6z4XCsDUNf41z0e7vo9/jTVLtwk5mZCQBwc3OTuBIiIiKqqMzMTNSsWfOpfWRCeSKQCdFoNLh16xZsbGwgk8l0uu+MjAy4ubnhxo0bsLW11em+6RGOs2FwnA2D42w4HGvD0Nc4C4KAzMxM1K1bV2tC7ZJUuyM3crkc9erV0+t72Nra8h+OAXCcDYPjbBgcZ8PhWBuGPsa5rCM2RXhBMREREZkUhhsiIiIyKQw3OqRSqRASEgKVSiV1KSaN42wYHGfD4DgbDsfaMIxhnKvdBcVERERk2njkhoiIiEwKww0RERGZFIYbIiIiMikMN0RERGRSGG4qaNmyZXB3d4eFhQU6duyII0eOPLX/5s2b0bRpU1hYWKBVq1YIDw83UKVVW0XGedWqVejSpQvs7e1hb28Pf3//Mr8vVKiiP89FNm7cCJlMhgEDBui3QBNR0XFOS0vDhAkTUKdOHahUKjRu3Jj/7yiHio7zkiVL0KRJE1haWsLNzQ2TJk1CTk6Ogaqtmvbu3Yv+/fujbt26kMlk+OOPP8rcJjo6Gm3btoVKpYKnpyfWrVun9zohULlt3LhRMDc3F9asWSOcPXtWGD16tGBnZyckJyeX2P/AgQOCQqEQPv/8c+HcuXPC9OnTBaVSKZw+fdrAlVctFR3nwYMHC8uWLRNOnDghnD9/XhgxYoRQs2ZN4ebNmwauvGqp6DgXuXbtmuDq6ip06dJFeOWVVwxTbBVW0XHOzc0V2rVrJwQEBAj79+8Xrl27JkRHRwuxsbEGrrxqqeg4r1+/XlCpVML69euFa9euCdu3bxfq1KkjTJo0ycCVVy3h4eHCJ598Ivz2228CAOH3339/av+4uDjByspKCAoKEs6dOyd89dVXgkKhECIiIvRaJ8NNBXTo0EGYMGGCuF5QUCDUrVtXCA0NLbH/wIEDhX79+mm1dezYURgzZoxe66zqKjrOT8rPzxdsbGyE77//Xl8lmoTKjHN+fr7QqVMn4bvvvhOGDx/OcFMOFR3nFStWCI0aNRLy8vIMVaJJqOg4T5gwQejevbtWW1BQkNC5c2e91mlKyhNupkyZIrRo0UKrbdCgQULv3r31WJkg8LRUOeXl5eHYsWPw9/cX2+RyOfz9/RETE1PiNjExMVr9AaB3796l9qfKjfOTsrOzoVarUatWLX2VWeVVdpznzJkDJycnvPfee4Yos8qrzDj/9ddf8PX1xYQJE+Ds7IyWLVti3rx5KCgoMFTZVU5lxrlTp044duyYeOoqLi4O4eHhCAgIMEjN1YVUvwer3cSZlZWamoqCggI4OztrtTs7O+PChQslbpOUlFRi/6SkJL3VWdVVZpyf9PHHH6Nu3brF/kHRI5UZ5/3792P16tWIjY01QIWmoTLjHBcXh127dmHIkCEIDw/HlStXMH78eKjVaoSEhBii7CqnMuM8ePBgpKam4oUXXoAgCMjPz8fYsWMxbdo0Q5RcbZT2ezAjIwMPHz6EpaWlXt6XR27IpISFhWHjxo34/fffYWFhIXU5JiMzMxNDhw7FqlWr4ODgIHU5Jk2j0cDJyQnffvstfHx8MGjQIHzyySdYuXKl1KWZlOjoaMybNw/Lly/H8ePH8dtvv2Hr1q2YO3eu1KWRDvDITTk5ODhAoVAgOTlZqz05ORkuLi4lbuPi4lKh/lS5cS6yYMEChIWFYefOnWjdurU+y6zyKjrOV69eRXx8PPr37y+2aTQaAICZmRkuXrwIDw8P/RZdBVXm57lOnTpQKpVQKBRiW7NmzZCUlIS8vDyYm5vrteaqqDLjPGPGDAwdOhSjRo0CALRq1QpZWVl4//338cknn0Au59/+ulDa70FbW1u9HbUBeOSm3MzNzeHj44OoqCixTaPRICoqCr6+viVu4+vrq9UfACIjI0vtT5UbZwD4/PPPMXfuXERERKBdu3aGKLVKq+g4N23aFKdPn0ZsbKz49fLLL6Nbt26IjY2Fm5ubIcuvMirz89y5c2dcuXJFDI8AcOnSJdSpU4fBphSVGefs7OxiAaYoUAqcclFnJPs9qNfLlU3Mxo0bBZVKJaxbt044d+6c8P777wt2dnZCUlKSIAiCMHToUCE4OFjsf+DAAcHMzExYsGCBcP78eSEkJIS3gpdDRcc5LCxMMDc3F7Zs2SLcvn1b/MrMzJTqI1QJFR3nJ/FuqfKp6DgnJCQINjY2QmBgoHDx4kXhn3/+EZycnIRPP/1Uqo9QJVR0nENCQgQbGxvh559/FuLi4oQdO3YIHh4ewsCBA6X6CFVCZmamcOLECeHEiRMCAGHRokXCiRMnhOvXrwuCIAjBwcHC0KFDxf5Ft4J/9NFHwvnz54Vly5bxVnBj9NVXXwn169cXzM3NhQ4dOgiHDh0SX/Pz8xOGDx+u1f+XX34RGjduLJibmwstWrQQtm7dauCKq6aKjHODBg0EAMW+QkJCDF94FVPRn+fHMdyUX0XH+eDBg0LHjh0FlUolNGrUSPjss8+E/Px8A1dd9VRknNVqtTBr1izBw8NDsLCwENzc3ITx48cL9+/fN3zhVcju3btL/P9t0dgOHz5c8PPzK7aNt7e3YG5uLjRq1EhYu3at3uuUCQKPvxEREZHp4DU3REREZFIYboiIiMikMNwQERGRSWG4ISIiIpPCcENEREQmheGGiIiITArDDREREZkUhhsiIgAymQx//PEHACA+Ph4ymYwzoBNVUQw3RCS5ESNGQCaTQSaTQalUomHDhpgyZQpycnKkLo2IqiDOCk5ERqFPnz5Yu3Yt1Go1jh07huHDh0Mmk2H+/PlSl0ZEVQyP3BCRUVCpVHBxcYGbmxsGDBgAf39/REZGAiic4Tk0NBQNGzaEpaUlvLy8sGXLFq3tz549i5deegm2trawsbFBly5dcPXqVQDAv//+i549e8LBwQE1a9aEn58fjh8/bvDPSESGwXBDREbnzJkzOHjwIMzNzQEAoaGh+OGHH7By5UqcPXsWkyZNwjvvvIM9e/YAABITE/Hiiy9CpVJh165dOHbsGN59913k5+cDADIzMzF8+HDs378fhw4dwnPPPYeAgABkZmZK9hmJSH94WoqIjMI///wDa2tr5OfnIzc3F3K5HF9//TVyc3Mxb9487Ny5E76+vgCARo0aYf/+/fjmm2/g5+eHZcuWoWbNmti4cSOUSiUAoHHjxuK+u3fvrvVe3377Lezs7LBnzx689NJLhvuQRGQQDDdEZBS6deuGFStWICsrC4sXL4aZmRlef/11nD17FtnZ2ejZs6dW/7y8PLRp0wYAEBsbiy5duojB5knJycmYPn06oqOjcefOHRQUFCA7OxsJCQl6/1xEZHgMN0RkFGrUqAFPT08AwJo1a+Dl5YXVq1ejZcuWAICtW7fC1dVVaxuVSgUAsLS0fOq+hw8fjrt372Lp0qVo0KABVCoVfH19kZeXp4dPQkRSY7ghIqMjl8sxbdo0BAUF4dKlS1CpVEhISICfn1+J/Vu3bo3vv/8earW6xKM3Bw4cwPLlyxEQEAAAuHHjBlJTU/X6GYhIOrygmIiM0ptvvgmFQoFvvvkGkydPxqRJk/D999/j6tWrOH78OL766it8//33AIDAwEBkZGTgrbfewtGjR3H58mX8+OOPuHjxIgDgueeew48//ojz58/j8OHDGDJkSJlHe4io6uKRGyIySmZmZggMDMTnn3+Oa9euwdHREaGhoYiLi4OdnR3atm2LadOmAQBq166NXbt24aOPPoKfnx8UCgW8vb3RuXNnAMDq1avx/vvvo23btnBzc8O8efMwefJkKT8eEemRTBAEQeoiiIiIiHSFp6WIiIjIpDDcEBERkUlhuCEiIiKTwnBDREREJoXhhoiIiEwKww0RERGZFIYbIiIiMikMN0RERGRSGG6IiIjIpDDcEBERkUlhuCEiIiKTwnBDREREJuX/AZSB5WDkLo/ZAAAAAElFTkSuQmCC\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","===============================\n","Training Strategy: hindi\n","===============================\n","Epoch 1/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 21ms/step - accuracy: 0.5471 - loss: 0.6911 - val_accuracy: 0.5719 - val_loss: 0.6750\n","Epoch 2/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.5616 - loss: 0.6804 - val_accuracy: 0.6027 - val_loss: 0.6716\n","Epoch 3/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.5736 - loss: 0.6789 - val_accuracy: 0.6016 - val_loss: 0.6679\n","Epoch 4/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.5834 - loss: 0.6739 - val_accuracy: 0.5986 - val_loss: 0.6680\n","Epoch 5/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - accuracy: 0.5852 - loss: 0.6750 - val_accuracy: 0.6119 - val_loss: 0.6693\n","Epoch 6/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - accuracy: 0.5902 - loss: 0.6735 - val_accuracy: 0.6068 - val_loss: 0.6700\n","Epoch 7/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - accuracy: 0.5912 - loss: 0.6728 - val_accuracy: 0.6037 - val_loss: 0.6666\n","Epoch 8/8\n","\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 19ms/step - accuracy: 0.6025 - loss: 0.6677 - val_accuracy: 0.5893 - val_loss: 0.6669\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m92/92\u001b[0m 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","===============================\n","Training Strategy: hinglish\n","===============================\n","Epoch 1/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 27ms/step - accuracy: 0.6497 - loss: 0.6581 - val_accuracy: 0.6611 - val_loss: 0.6445\n","Epoch 2/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - accuracy: 0.6675 - loss: 0.6383 - val_accuracy: 0.6799 - val_loss: 0.6203\n","Epoch 3/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - accuracy: 0.6818 - loss: 0.6025 - val_accuracy: 0.7008 - val_loss: 0.5967\n","Epoch 4/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - accuracy: 0.7115 - loss: 0.5829 - val_accuracy: 0.7050 - val_loss: 0.5968\n","Epoch 5/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 22ms/step - accuracy: 0.7171 - loss: 0.5695 - val_accuracy: 0.7092 - val_loss: 0.5962\n","Epoch 6/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 22ms/step - accuracy: 0.7157 - loss: 0.5662 - val_accuracy: 0.7050 - val_loss: 0.5915\n","Epoch 7/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 23ms/step - accuracy: 0.7255 - loss: 0.5560 - val_accuracy: 0.6987 - val_loss: 0.5977\n","Epoch 8/8\n","\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 23ms/step - accuracy: 0.7265 - loss: 0.5510 - val_accuracy: 0.6820 - val_loss: 0.6170\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m45/45\u001b[0m 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["print(\"\\n===============================\")\n","print(\"Training Strategy: Full Dataset\")\n","print(\"===============================\")\n","\n","# Split dataset\n","train_val_full, test_full = train_test_split(\n"," df,\n"," test_size=0.30,\n"," random_state=42,\n"," stratify=df[\"hate_label\"]\n",")\n","\n","train_full, val_full = train_test_split(\n"," train_val_full,\n"," test_size=0.1428,\n"," random_state=42,\n"," stratify=train_val_full[\"hate_label\"]\n",")\n","\n","# Prepare text\n","X_train_text_full = train_full[\"clean_text\"].astype(str)\n","X_val_text_full = val_full[\"clean_text\"].astype(str)\n","X_test_text_full = test_full[\"clean_text\"].astype(str)\n","\n","y_train_full = train_full[\"hate_label\"]\n","y_val_full = val_full[\"hate_label\"]\n","y_test_full = test_full[\"hate_label\"]\n","\n","# Tokenize\n","X_train_seq_full = tokenizer.texts_to_sequences(X_train_text_full)\n","X_val_seq_full = tokenizer.texts_to_sequences(X_val_text_full)\n","X_test_seq_full = tokenizer.texts_to_sequences(X_test_text_full)\n","\n","# Padding\n","X_train_full = pad_sequences(X_train_seq_full, maxlen=MAX_LEN)\n","X_val_full = pad_sequences(X_val_seq_full, maxlen=MAX_LEN)\n","X_test_full = pad_sequences(X_test_seq_full, maxlen=MAX_LEN)\n","\n","# Model\n","model_full = Sequential()\n","model_full.add(Embedding(input_dim=vocab_size, output_dim=300,\n"," weights=[embedding_matrix], trainable=False))\n","model_full.add(Bidirectional(LSTM(128)))\n","model_full.add(Dropout(0.5))\n","model_full.add(Dense(1, activation=\"sigmoid\"))\n","\n","model_full.compile(\n"," optimizer=\"adam\",\n"," loss=\"binary_crossentropy\",\n"," metrics=[\"accuracy\"]\n",")\n","\n","# Train\n","history_full = model_full.fit(\n"," X_train_full,\n"," y_train_full,\n"," validation_data=(X_val_full, y_val_full),\n"," epochs=8,\n"," batch_size=64,\n"," verbose=1\n",")\n","\n","# =========================\n","# 📊 TRAINING PLOTS\n","# =========================\n","\n","# Accuracy\n","plt.figure(figsize=(6,4))\n","plt.plot(history_full.history['accuracy'])\n","plt.plot(history_full.history['val_accuracy'])\n","plt.title(\"Full Dataset Accuracy\")\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Accuracy\")\n","plt.legend([\"Train\", \"Validation\"])\n","plt.grid(True)\n","plt.savefig(BASE_DIR + \"/figures/full_accuracy.png\", dpi=300)\n","plt.show()\n","\n","# Loss\n","plt.figure(figsize=(6,4))\n","plt.plot(history_full.history['loss'])\n","plt.plot(history_full.history['val_loss'])\n","plt.title(\"Full Dataset Loss\")\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Loss\")\n","plt.legend([\"Train\", \"Validation\"])\n","plt.grid(True)\n","plt.savefig(BASE_DIR + \"/figures/full_loss.png\", dpi=300)\n","plt.show()\n","\n","# Best Epoch\n","best_epoch_full = np.argmax(history_full.history[\"val_accuracy\"]) + 1\n","print(\"Best Epoch:\", best_epoch_full)\n","\n","# =========================\n","# 🧪 TESTING\n","# =========================\n","\n","y_prob_full = model_full.predict(X_test_full)\n","y_pred_full = (y_prob_full > 0.5).astype(int)\n","\n","# Metrics (UNCHANGED)\n","accuracy = accuracy_score(y_test_full, y_pred_full)\n","precision = precision_score(y_test_full, y_pred_full)\n","recall = recall_score(y_test_full, y_pred_full)\n","f1 = f1_score(y_test_full, y_pred_full)\n","balanced_acc = balanced_accuracy_score(y_test_full, y_pred_full)\n","auc = roc_auc_score(y_test_full, y_prob_full)\n","\n","cm = confusion_matrix(y_test_full, y_pred_full)\n","tn, fp, fn, tp = cm.ravel()\n","specificity = tn / (tn + fp)\n","\n","# =========================\n","# 📊 TESTING PLOTS\n","# =========================\n","\n","# Confusion Matrix (BLUE + 0/1 labels)\n","plt.figure(figsize=(6,5))\n","sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues',\n"," xticklabels=[0, 1],\n"," yticklabels=[0, 1]\n",")\n","plt.xlabel(\"Predicted Label\")\n","plt.ylabel(\"True Label\")\n","plt.title(\"Full Dataset Confusion Matrix\")\n","plt.savefig(BASE_DIR + \"/figures/full_cm.png\", dpi=300)\n","plt.show()\n","\n","# ROC Curve\n","fpr, tpr, _ = roc_curve(y_test_full, y_prob_full)\n","plt.figure(figsize=(6,4))\n","plt.plot(fpr, tpr)\n","plt.xlabel(\"False Positive Rate\")\n","plt.ylabel(\"True Positive Rate\")\n","plt.title(\"Full Dataset ROC Curve\")\n","plt.grid(True)\n","plt.savefig(BASE_DIR + \"/figures/full_roc.png\", dpi=300)\n","plt.show()\n","\n","# Precision-Recall Curve\n","precision_vals, recall_vals, _ = precision_recall_curve(y_test_full, y_prob_full)\n","plt.figure(figsize=(6,4))\n","plt.plot(recall_vals, precision_vals)\n","plt.xlabel(\"Recall\")\n","plt.ylabel(\"Precision\")\n","plt.title(\"Full Dataset Precision-Recall Curve\")\n","plt.grid(True)\n","plt.savefig(BASE_DIR + \"/figures/full_pr.png\", dpi=300)\n","plt.show()\n","\n","# F1 Curve\n","f1_curve = 2 * (precision_vals * recall_vals) / (precision_vals + recall_vals + 1e-8)\n","plt.figure(figsize=(6,4))\n","plt.plot(recall_vals, f1_curve)\n","plt.xlabel(\"Recall\")\n","plt.ylabel(\"F1 Score\")\n","plt.title(\"Full Dataset F1 Curve\")\n","plt.grid(True)\n","plt.savefig(BASE_DIR + \"/figures/full_f1.png\", dpi=300)\n","plt.show()\n","\n","# =========================\n","# 📊 STORE RESULTS (UNCHANGED)\n","# =========================\n","\n","results_list.append({\n"," \"Strategy\": \"Full Dataset\",\n"," \"Best Epoch\": best_epoch_full,\n"," \"Accuracy\": accuracy,\n"," \"Balanced Accuracy\": balanced_acc,\n"," \"Precision\": precision,\n"," \"Recall\": recall,\n"," \"Specificity\": specificity,\n"," \"F1 Score\": f1,\n"," \"AUC\": auc\n","})"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"2FfHzMk7iWO2","executionInfo":{"status":"ok","timestamp":1774367421568,"user_tz":-330,"elapsed":50149,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"8a5d3cdc-2091-41d2-dbba-ee46f53d0561"},"execution_count":15,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","===============================\n","Training Strategy: Full Dataset\n","===============================\n","Epoch 1/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 18ms/step - accuracy: 0.6039 - loss: 0.6600 - val_accuracy: 0.6302 - val_loss: 0.6369\n","Epoch 2/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 16ms/step - accuracy: 0.6458 - loss: 0.6278 - val_accuracy: 0.6620 - val_loss: 0.6130\n","Epoch 3/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 18ms/step - accuracy: 0.6567 - loss: 0.6171 - val_accuracy: 0.6678 - val_loss: 0.6075\n","Epoch 4/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 17ms/step - accuracy: 0.6637 - loss: 0.6061 - val_accuracy: 0.6685 - val_loss: 0.6050\n","Epoch 5/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 16ms/step - accuracy: 0.6708 - loss: 0.5980 - val_accuracy: 0.6810 - val_loss: 0.5924\n","Epoch 6/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 18ms/step - accuracy: 0.6754 - loss: 0.5953 - val_accuracy: 0.6800 - val_loss: 0.5892\n","Epoch 7/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 16ms/step - accuracy: 0.6746 - loss: 0.5931 - val_accuracy: 0.6715 - val_loss: 0.5904\n","Epoch 8/8\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 16ms/step - accuracy: 0.6771 - loss: 0.5860 - val_accuracy: 0.6783 - val_loss: 0.5892\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Best Epoch: 5\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 7ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["
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GzeiZ8+e6Nixo0F+TgDQv39/BAUF4f3338eECRPw5MkTrFmzBm+++abkYr6QkBDExMTA19cXTk5OuHfvHlavXo3q1auL1aGSLFq0CF27doWHhweGDx8uLo+0tLQs8Z4ehmJkZIQZM2bI9tP1u6Pvz1ubqKgorF69GrNnzxaXa27YsAFeXl6YOXMmFi5cqNd4RKWi/BZcUGkqWh55+vRprX0KCgqEoKAgwcbGRqhUqZLg4+MjJCQkGHx5JJ5ZmmlmZibUrVtXGDRokHDo0KES3/PTTz8JjRo1EkxMTIRatWoJX3zxhRAWFiYAEBITE8V+ycnJgq+vr2Bubi4AEJedZWdnC5MnTxaqVasmmJqaCm3bthViY2OLLU37+uuvBU9PT6Fq1aqCRqMR6tSpI0ydOlVIS0uTxJOSkiL4+/sLNWrUECpWrCg4ODgInTp1EtatWyfp9+OPPwpubm5ChQoVdF4q+fvvvwsjR44UatWqJajVasHc3Fxo27atsGLFCiE7O1vsl5eXJ8ydO1dwdnYWKlasKNSoUUMIDg6W9BGEp8sjfX19S/w5PHvu2pZHCoIgHDp0SGjQoIGgVqsFV1dXYfPmzcWWRx4+fFjo0aOH4OjoKKjVasHR0VEYMGCA8Pvvvxc7xr8/h19++UVo27atYGpqKlhYWAjdu3cXrl69KulTdLx/L78s+l4/+z0oybPLI7XRtjxSl++OIGj/eT9vSfCz46SnpwtOTk5Cs2bNhLy8PEm/gIAAwcjISIiNjX3uORCVBZUg6HFVEBERESkKr1EgIiIirZgoEBERkVZMFIiIiEgrJgpERESkFRMFIiIi0oqJAhEREWnFRIGIiIi0ei3vzGjadFx5h0BU6o7uml/eIRCVula1LUt1fEP+vsg6v9JgY71KXstEgYiISCcqFtbl8BMiIiIirVhRICIi5TLgI8NfV0wUiIhIuTj1IIufEBEREWnFigIRESkXpx5kMVEgIiLl4tSDLH5CREREpBUrCkREpFycepDFRIGIiJSLUw+y+AkRERGRVqwoEBGRcnHqQRYTBSIiUi5OPcjiJ0RERERaMVEgIiLlUqkMt+lhzZo1aNSoESwsLGBhYQEPDw/8/PPP4v7s7Gz4+/ujatWqMDMzQ+/evZGSkiIZ486dO/D19UWlSpVgZ2eHqVOnIj8/X9InOjoazZo1g0ajgYuLC8LDw/X+iJgoEBGRcqmMDLfpoXr16liwYAHOnj2LM2fO4O2330aPHj1w5coVAEBAQAD27t2LnTt34ujRo7h79y569eolvr+goAC+vr7Izc3F8ePHsXHjRoSHh2PWrFlin8TERPj6+qJjx46Ii4vDpEmTMGLECBw8eFC/j0gQBEGvd/wHmDYdV94hEJW6o7vml3cIRKWuVW3LUh3ftN1Mg42VdWzeS73f2toaixYtQp8+fWBra4utW7eiT58+AIDr16+jXr16iI2NRevWrfHzzz+jW7duuHv3Luzt7QEAa9euRVBQEO7fvw+1Wo2goCBERETg8uXL4jH69++P1NRUHDhwQOe4WFEgIiLlMuDUQ05ODtLT0yVbTk6ObAgFBQXYtm0bMjMz4eHhgbNnzyIvLw+dO3cW+7z11luoWbMmYmNjAQCxsbFo2LChmCQAgI+PD9LT08WqRGxsrGSMoj5FY+iKiQIRESmXAaceQkNDYWlpKdlCQ0O1HvrSpUswMzODRqPBmDFjsHv3bri5uSE5ORlqtRpWVlaS/vb29khOTgYAJCcnS5KEov1F+57XJz09HVlZWTp/RFweSUREZADBwcEIDAyUtGk0Gq39XV1dERcXh7S0NHz//ffw8/PD0aNHSztMvTFRICIi5TLgfRQ0Gs1zE4N/U6vVcHFxAQA0b94cp0+fxrJly9CvXz/k5uYiNTVVUlVISUmBg4MDAMDBwQGnTp2SjFe0KuLZPv9eKZGSkgILCwuYmprqHCenHoiISLmMVIbbXlJhYSFycnLQvHlzVKxYEYcPHxb3xcfH486dO/Dw8AAAeHh44NKlS7h3757YJzIyEhYWFnBzcxP7PDtGUZ+iMXTFigIREVEZCw4ORteuXVGzZk38888/2Lp1K6Kjo3Hw4EFYWlpi+PDhCAwMhLW1NSwsLDB+/Hh4eHigdevWAABvb2+4ubnho48+wsKFC5GcnIwZM2bA399frGqMGTMGK1euxLRp0zBs2DBERUVhx44diIiI0CtWJgpERKRc5XQL53v37mHw4MFISkqCpaUlGjVqhIMHD+Kdd94BACxZsgRGRkbo3bs3cnJy4OPjg9WrV4vvNzY2xr59+zB27Fh4eHigcuXK8PPzQ0hIiNjH2dkZERERCAgIwLJly1C9enV888038PHx0StW3keB6D+K91EgJSj1+yh0+txgY2Ud/tRgY71KeI0CERERacWpByIiUi4+PVIWEwUiIlIuPR/mpERMpYiIiEgrVhSIiEi5OPUgi4kCEREpF6ceZDGVIiIiIq1YUSAiIuXi1IMsJgpERKRcnHqQxVSKiIiItGJFgYiIlItTD7KYKBARkXJx6kEWUykiIiLSihUFIiJSLk49yGKiQEREysVEQRY/ISIiItKKFQUiIlIuXswoi4kCEREpF6ceZPETIiIiIq1YUSAiIuXi1IMsJgpERKRcnHqQxU+IiIiItGJFgYiIlItTD7KYKBARkWKpmCjI4tQDERERacWKAhERKRYrCvKYKBARkXIxT5DFqQciIiLSihUFIiJSLE49yGOiQEREisVEQR6nHoiIiEgrVhSIiEixWFGQx0SBiIgUi4mCPE49EBERkVasKBARkXKxoCCLiQIRESkWpx7kceqBiIiItGJFgYiIFIsVBXlMFIiISLGYKMjj1AMRERFpxUSBiIgUS6VSGWzTR2hoKFq2bAlzc3PY2dmhZ8+eiI+PF/ffvn1b63F27tz53Pi3bdsmOVZ0dDSaNWsGjUYDFxcXhIeH6xUrEwUiIlIulQE3PRw9ehT+/v44ceIEIiMjkZeXB29vb2RmZgIAatSogaSkJMk2d+5cmJmZoWvXrpKxNmzYIOnXs2dPcV9iYiJ8fX3RsWNHxMXFYdKkSRgxYgQOHjyoc6y8RoGIiKiMHThwQPI6PDwcdnZ2OHv2LDw9PWFsbAwHBwdJn927d6Nv374wMzOTtFtZWRXrW2Tt2rVwdnbGV199BQCoV68ejh07hiVLlsDHx0enWFlRICIixTLk1ENOTg7S09MlW05Ojk5xpKWlAQCsra1L3H/27FnExcVh+PDhxfb5+/vDxsYGrVq1QlhYGARBEPfFxsaic+fOkv4+Pj6IjY3V9SNiokBERMplyEQhNDQUlpaWki00NFQ2hsLCQkyaNAlt27ZFgwYNSuzz7bffol69emjTpo2kPSQkBDt27EBkZCR69+6Njz/+GCtWrBD3Jycnw97eXvIee3t7pKenIysrS6fPiFMPREREBhAcHIzAwEBJm0ajkX2fv78/Ll++jGPHjpW4PysrC1u3bsXMmTOL7Xu2rWnTpsjMzMSiRYswYcIEPaPXjhUFIiJSLENWFDQaDSwsLCSbXKIwbtw47Nu3D0eOHEH16tVL7PP999/jyZMnGDx4sOz5uLu746+//hKnPBwcHJCSkiLpk5KSAgsLC5iamur0GTFRICIi5SqnVQ+CIGDcuHHYvXs3oqKi4OzsrLXvt99+i/feew+2tray48bFxaFKlSpiguLh4YHDhw9L+kRGRsLDw0PnWDn1QEREVMb8/f2xdetW/PjjjzA3N0dycjIAwNLSUvKXfkJCAmJiYrB///5iY+zduxcpKSlo3bo1TExMEBkZic8//xxTpkwR+4wZMwYrV67EtGnTMGzYMERFRWHHjh2IiIjQOVYmCkREpFjldQvnNWvWAAC8vLwk7Rs2bMCQIUPE12FhYahevTq8vb2LjVGxYkWsWrUKAQEBEAQBLi4uWLx4MUaOHCn2cXZ2RkREBAICArBs2TJUr14d33zzjc5LIwFAJTy7juI1Ydp0XHmHQFTqju6aX94hEJW6VrUtS3V8h5HfG2ys5PV9DDbWq4TXKBAREZFWnHogIiLF4tMj5TFRICIixWKiII9TD0RERKQVKwpERKRcLCjIYqJARESKxakHeZx6ICIiIq1YUSAiIsViRUEeEwUiIlIsJgryOPVAREREWrGiQEREysWCgiwmCkREpFicepDHqQciIiLSihUFIiJSLFYU5DFRIADAyA/aYWSf9nBytAYAXLuVjM/X/YxDv10FAGjUFbAgsBc+8GkOjboCfom9homfb8e9R/+IY3i1ehOzP+6G+i6OyMzKxZa9JzF71V4UFBQCAOo62WHF9P54q7YDLM1MkXQ/Ddt/PoP56/YjP7+w7E+aFOf6pXOI+H4zbidcR+qjB5g4cyFatPGS9Pn7TiK2h63E9UvnUFBQgDdqOmPCjC9gY+cg6ScIAr6cNQkXz8RKxomJ3If1i0NKPP7K7w7A0sq6NE6NXhATBXlMFAgA8HdKKmau+BEJd+5DBRUGdXfHziWj0Lr/Aly7lYyFU3qja7v6+HDat0jPyMKST/pi21cj8PbQJQCAhm++gT0rxuKLbw9i+Mz/wdHOCis+7Q9jYyMEL9kNAMjLL8CWfacQd/1PpP3zBA3frI5VMwfAyEiF2Sv3lufpk0LkZGejZu266ODdHcs+Cyq2P+XuX/hsykh4+ryHXoNGwbRSZfx95xYqqtXF+h7Y8x1KuhKutWdnNGreWtK2bnEI8nJzmSTQfxITBQIA7I+5LHk9Z9VejPygHVo1csbf91IxpKcHhnwajqOnfwcAjJq9GRd2z0SrhrVw6tJt9PFuhss37iJ03QEAwK0/H2D6sj3Y/MUwzP96PzKe5OD23w9x+++H4jHuJD2GZ4u6aNu0TtmdKCla45Zt0LhlG637d25cg8Yt22LA8Alim71j9WL9/rj5O37etRUhy8Mx/sN3JfvUGhOoNSbi6/TUx7h64QxGTJphgDMgQ2NFQV65JgoPHjxAWFgYYmNjkZycDABwcHBAmzZtMGTIENja2pZneIplZKRC73eaobKpGicvJqJpvZpQV6yAqBPxYp/fb6fgTtIjuDdyxqlLt6FRV0B2Tp5knKycPJiaqNG0Xk38evZGsePUrmGDd9rUw4+HL5T6ORHJKSwsxIXTv8G3z0dYOH08bt/8HbYOjuje108yPZGTnY3VX8yEn/9UWFnbyI577PB+aDQmaNXu7VKMnl4Y8wRZ5bbq4fTp03jzzTexfPlyWFpawtPTE56enrC0tMTy5cvx1ltv4cyZM7Lj5OTkID09XbIJhQVlcAavn/oujrj/21dIO7kUy6f3Q7/J63H9VjIcqlogJzcPaRlZkv73HqbDvqoFACDy+DW0blwbfbs0h5GRCo62lvh0VFcAQDVbC8n7joQH4vGJJbjy0xz8du4mQtZElMn5ET1PeuojZGc9wd4dG9GwhQeC5q9AizZeWP5ZEK5dPCf227JuCeq6NURzjw46jXv04E/w8PKRVBmI/kvKraIwfvx4fPDBB1i7dm2x0o8gCBgzZgzGjx+P2NjY544TGhqKuXPnStqM7VuiYrVWBo/5dff77RS49w+FpZkp3u/cFOtDPoL3iGU6vffwiev4dOkeLP+0P76dNxg5eflYsP4A2jVzQWGhIOn7UVAYzCqboNGbb+DzST0RMLgTFm/8pTROiUhngvD0e9rcwxNd3x8IAHCq8yZuXL2IqP0/oF6jZjh3IgZXL5zBZys36TTmjWsXcffPRIyZOqe0wqaXxKkHeeWWKFy4cAHh4eEl/pBUKhUCAgLQtGlT2XGCg4MRGBgoabNrX/wiJZKXl1+AW38+AACcv/YnmtevCf8BXvj+0Dlo1BVhaWYqqSrYVbVAysN08fXyzVFYvjkK1Wwt8Tj9CZwcrTFvQg8k/vVAcpy/UlIBANdvJcPIyAirZgzA0k2HiyUURGXJ3MIKxsbGcKzpLGl3rFELv199Oj12Ne4M7iX9hdF9Okn6LJ//CVzrN8H0hWsl7dEHfoRT7TfhXLde6QZPL4yJgrxySxQcHBxw6tQpvPXWWyXuP3XqFOzt7WXH0Wg00Gg0kjaVkbFBYlQ6I5UKGnUFnL92B7l5+ejo7oo9h+MAPF3qWLOaNU5eTCz2vqT7aQCAvl1a4M+kRzh//U/txzBSoWIFYxgZqZgoULmqULEinN90Q/JfdyTtyX/fEZdGdus7GB269JDs/3TsAHw4KgBN3dtJ2rOznuDUr4fRd8jHpRs4USkrt0RhypQpGDVqFM6ePYtOnTqJSUFKSgoOHz6M9evX48svvyyv8BQnZPx7OPjbFfyZ9BjmlU3Qr2sLeLaoi+4fr0Z6RjbC98Tii8m98CgtE/9kZmNx0Ac4ceEWTl26LY4RMLgTDh2/hsLCQvTo1ARThr6DQdPCxASgf9cWyMsvwOWEu8jJzUdzt5qYN/49fH/oLO+jQGUiO+sJUu7+Jb6+n3IXf9z8HZXNLWBj5wDf3oOwcsF0uDZoCrfGzXHxTCzOnzyGT79YAwCwsrYp8QLGqrb2sHN4Q9J2IiYSBQUFaPN219I9KXopLCjIK7dEwd/fHzY2NliyZAlWr16NgoKnFyAaGxujefPmCA8PR9++fcsrPMWxtTbDt/MGw8HGAmkZ2bh84290/3g1ok5eBwBM+3IXCgsFfPfliKc3XDp+DRNDt0vG8G7rhmkjfKCpWAGXfv8bHwSsE2/YBAD5BYUIHPIO6jrZQaVS4U7SI6zZHoMVm6PK9FxJuRJvXMPnQWPF11vXLQUAtOvsi9GTZ6NF244YOu4T7N2xEZvWfoVq1WtiwowFcG3QRO9jHT34E1q08UJlM3MDRU+lgVMP8lRC0RU85SgvLw8PHjydx7axsUHFihVfajzTpuMMERbRK+3orvnlHQJRqWtV27JUx6879YDBxrqxqIvBxnqVvBI3XKpYsSKqVatW3mEQEZHCsKAg75VIFIiIiMoDpx7k8THTREREpBUrCkREpFgsKMhjokBERIplZMRMQQ6nHoiIiEgrVhSIiEixOPUgjxUFIiIi0ooVBSIiUiwuj5THRIGIiBSLeYI8Tj0QERGRVqwoEBGRYnHqQR4TBSIiUiwmCvI49UBERERasaJARESKxYKCPFYUiIhIsVQqlcE2fYSGhqJly5YwNzeHnZ0devbsifj4eEkfLy+vYscYM2aMpM+dO3fg6+uLSpUqwc7ODlOnTkV+fr6kT3R0NJo1awaNRgMXFxeEh4frFSsTBSIiojJ29OhR+Pv748SJE4iMjEReXh68vb2RmZkp6Tdy5EgkJSWJ28KFC8V9BQUF8PX1RW5uLo4fP46NGzciPDwcs2bNEvskJibC19cXHTt2RFxcHCZNmoQRI0bg4MGDOsfKqQciIlKs8pp6OHDggOR1eHg47OzscPbsWXh6eortlSpVgoODQ4ljHDp0CFevXsUvv/wCe3t7NGnSBPPmzUNQUBDmzJkDtVqNtWvXwtnZGV999RUAoF69ejh27BiWLFkCHx8fnWJlRYGIiBTLkFMPOTk5SE9Pl2w5OTk6xZGWlgYAsLa2lrRv2bIFNjY2aNCgAYKDg/HkyRNxX2xsLBo2bAh7e3uxzcfHB+np6bhy5YrYp3PnzpIxfXx8EBsbq/NnxESBiIjIAEJDQ2FpaSnZQkNDZd9XWFiISZMmoW3btmjQoIHYPnDgQGzevBlHjhxBcHAwNm3ahEGDBon7k5OTJUkCAPF1cnLyc/ukp6cjKytLp/Pi1AMRESmWIacegoODERgYKGnTaDSy7/P398fly5dx7NgxSfuoUaPEfzds2BDVqlVDp06dcPPmTdSpU8cwQeuAiQIRESmWIW+4pNFodEoMnjVu3Djs27cPMTExqF69+nP7uru7AwASEhJQp04dODg44NSpU5I+KSkpACBe1+Dg4CC2PdvHwsICpqamOsXIqQciIqIyJggCxo0bh927dyMqKgrOzs6y74mLiwMAVKtWDQDg4eGBS5cu4d69e2KfyMhIWFhYwM3NTexz+PBhyTiRkZHw8PDQOVYmCkREpFgqleE2ffj7+2Pz5s3YunUrzM3NkZycjOTkZPG6gZs3b2LevHk4e/Ysbt++jZ9++gmDBw+Gp6cnGjVqBADw9vaGm5sbPvroI1y4cAEHDx7EjBkz4O/vL1Y2xowZg1u3bmHatGm4fv06Vq9ejR07diAgIEDnWJkoEBGRYpXXDZfWrFmDtLQ0eHl5oVq1auK2fft2AIBarcYvv/wCb29vvPXWW5g8eTJ69+6NvXv3imMYGxtj3759MDY2hoeHBwYNGoTBgwcjJCRE7OPs7IyIiAhERkaicePG+Oqrr/DNN9/ovDQS4DUKREREZU4QhOfur1GjBo4ePSo7jpOTE/bv3//cPl5eXjh//rxe8T2LiQIRESkWn/Ugj4kCEREpFh8zLY/XKBAREZFWrCgQEZFisaAgj4kCEREpFqce5HHqgYiIiLRiRYGIiBSLBQV5TBSIiEixOPUgj1MPREREpBUrCkREpFisKMhjokBERIrFPEEepx6IiIhIK1YUiIhIsTj1II+JAhERKRbzBHmceiAiIiKtWFEgIiLF4tSDPCYKRESkWMwT5HHqgYiIiLRiRYGIiBTLiCUFWUwUiIhIsZgnyOPUAxEREWnFigIRESkWVz3IY6JARESKZcQ8QRanHoiIiEgrVhSIiEixOPUgj4kCEREpFvMEeZx6ICIiIq1YUSAiIsVSgSUFOUwUiIhIsbjqQR6nHoiIiEgrVhSIiEixuOpBnk6JwsWLF3UesFGjRi8cDBERUVliniBPp0ShSZMmUKlUEAShxP1F+1QqFQoKCgwaIBEREZUfnRKFxMTE0o6DiIiozPEx0/J0ShScnJxKOw4iIqIyxzxB3guteti0aRPatm0LR0dH/PHHHwCApUuX4scffzRocERERFS+9E4U1qxZg8DAQLz77rtITU0Vr0mwsrLC0qVLDR0fERFRqVGpVAbbXld6JworVqzA+vXrMX36dBgbG4vtLVq0wKVLlwwaHBERUWlSqQy3va70ThQSExPRtGnTYu0ajQaZmZkGCYqIiIheDXonCs7OzoiLiyvWfuDAAdSrV88QMREREZUJI5XKYNvrSu9EITAwEP7+/ti+fTsEQcCpU6cwf/58BAcHY9q0aaURIxERUalQGXDTR2hoKFq2bAlzc3PY2dmhZ8+eiI+PF/c/evQI48ePh6urK0xNTVGzZk1MmDABaWlp0vhLuFZi27Ztkj7R0dFo1qwZNBoNXFxcEB4erleset/CecSIETA1NcWMGTPw5MkTDBw4EI6Ojli2bBn69++v73BERESKc/ToUfj7+6Nly5bIz8/Hp59+Cm9vb1y9ehWVK1fG3bt3cffuXXz55Zdwc3PDH3/8gTFjxuDu3bv4/vvvJWNt2LABXbp0EV9bWVmJ/05MTISvry/GjBmDLVu24PDhwxgxYgSqVasGHx8fnWJVCdput6iDJ0+eICMjA3Z2di86RKkwbTquvEMgKnVHd80v7xCISl2r2palOv6A/8UZbKzvBjd54ffev38fdnZ2OHr0KDw9PUvss3PnTgwaNAiZmZmoUOHp3/kqlQq7d+9Gz549S3xPUFAQIiIicPnyZbGtf//+SE1NxYEDB3SK7YWfHnnv3j2cPXsW8fHxuH///osOQ0REVG6MVIbbcnJykJ6eLtlycnJ0iqNoSsHa2vq5fSwsLMQkoYi/vz9sbGzQqlUrhIWFSR63EBsbi86dO0v6+/j4IDY2VtePSP9E4Z9//sFHH30ER0dHdOjQAR06dICjoyMGDRpUbO6EiIhIKUJDQ2FpaSnZQkNDZd9XWFiISZMmoW3btmjQoEGJfR48eIB58+Zh1KhRkvaQkBDs2LEDkZGR6N27Nz7++GOsWLFC3J+cnAx7e3vJe+zt7ZGeno6srCydzuuFrlE4f/48IiIi4OHhAeBpxjJx4kSMHj262EUURERErypD3igpODgYgYGBkjaNRiP7Pn9/f1y+fBnHjh0rcX96ejp8fX3h5uaGOXPmSPbNnDlT/HfTpk2RmZmJRYsWYcKECfqfgBZ6Jwr79u3DwYMH0a5dO7HNx8cH69evl1xMQURE9Koz5KpGjUajU2LwrHHjxmHfvn2IiYlB9erVi+3/559/0KVLF5ibm2P37t2oWLHic8dzd3fHvHnzkJOTA41GAwcHB6SkpEj6pKSkwMLCAqampjrFqPfUQ9WqVWFpWfziEktLS1SpUkXf4YiIiBRHEASMGzcOu3fvRlRUFJydnYv1SU9Ph7e3N9RqNX766SeYmJjIjhsXF4cqVaqICYuHhwcOHz4s6RMZGSnOCOhC74rCjBkzEBgYiE2bNsHBwQHA0zmQqVOnSkogREREr7ryekaDv78/tm7dih9//BHm5uZITk4G8PSPblNTUzFJePLkCTZv3ixeHAkAtra2MDY2xt69e5GSkoLWrVvDxMQEkZGR+PzzzzFlyhTxOGPGjMHKlSsxbdo0DBs2DFFRUdixYwciIiJ0jlWnRKFp06aSD/PGjRuoWbMmatasCQC4c+cONBoN7t+/j9GjR+t8cCIiovJkVE43VFyzZg0AwMvLS9K+YcMGDBkyBOfOncPJkycBAC4uLpI+iYmJqFWrFipWrIhVq1YhICAAgiDAxcUFixcvxsiRI8W+zs7OiIiIQEBAAJYtW4bq1avjm2++0fkeCoCOiYK29ZlERESkP7lbGHl5ecn26dKli07XBnp5eeH8+fN6xfcsnRKF2bNnv/ABiIiIXlWv8+OhDUXvaxSIiIheF0wT5OmdKBQUFGDJkiXYsWMH7ty5g9zcXMn+R48eGSw4IiIiKl96L4+cO3cuFi9ejH79+iEtLQ2BgYHo1asXjIyMit0IgoiI6FXGx0zL0ztR2LJlC9avX4/JkyejQoUKGDBgAL755hvMmjULJ06cKI0YiYiISoVKZbjtdaV3opCcnIyGDRsCAMzMzMTnO3Tr1k2vdZlERET06tM7UahevTqSkpIAAHXq1MGhQ4cAAKdPn9b71pVERETlSaVSGWx7XemdKLz//vvi7SDHjx+PmTNnom7duhg8eDCGDRtm8ACJiIhKC6ce5Om96mHBggXiv/v16wcnJyccP34cdevWRffu3Q0aHBEREZUvvSsK/9a6dWsEBgbC3d0dn3/+uSFiIiIiKhNc9SDvpROFIklJSXwoFBER/adw6kGewRIFIiIiev3wFs5ERKRYr/NqBUN5LROFx6dXlncIRKWuSo/l5R0CUanLiphQquOzrC5P50QhMDDwufvv37//0sEQERHRq0XnREGXZ1l7enq+VDBERERliVMP8nROFI4cOVKacRAREZU5I+YJsjg9Q0RERFq9lhczEhER6YIVBXlMFIiISLF4jYI8Tj0QERGRVqwoEBGRYnHqQd4LVRR+/fVXDBo0CB4eHvj7778BAJs2bcKxY8cMGhwREVFp4rMe5OmdKOzatQs+Pj4wNTXF+fPnkZOTAwBIS0vj0yOJiIheM3onCp999hnWrl2L9evXo2LFimJ727Ztce7cOYMGR0REVJr4mGl5el+jEB8fX+IdGC0tLZGammqImIiIiMoEr+iXp/dn5ODggISEhGLtx44dQ+3atQ0SFBEREb0a9E4URo4ciYkTJ+LkyZNQqVS4e/cutmzZgilTpmDs2LGlESMREVGp4MWM8vSeevjkk09QWFiITp064cmTJ/D09IRGo8GUKVMwfvz40oiRiIioVLzO1xYYit6JgkqlwvTp0zF16lQkJCQgIyMDbm5uMDMzK434iIiIqBy98A2X1Go13NzcDBkLERFRmWJBQZ7eiULHjh2fe2/sqKiolwqIiIiorPDOjPL0ThSaNGkieZ2Xl4e4uDhcvnwZfn5+hoqLiIiIXgF6JwpLliwpsX3OnDnIyMh46YCIiIjKCi9mlGewe00MGjQIYWFhhhqOiIio1HF5pDyDJQqxsbEwMTEx1HBERET0CtB76qFXr16S14IgICkpCWfOnMHMmTMNFhgREVFp48WM8vROFCwtLSWvjYyM4OrqipCQEHh7exssMCIiotKmAjMFOXolCgUFBRg6dCgaNmyIKlWqlFZMRERE9IrQ6xoFY2NjeHt78ymRRET0WjBSGW57Xel9MWODBg1w69at0oiFiIioTJVXohAaGoqWLVvC3NwcdnZ26NmzJ+Lj4yV9srOz4e/vj6pVq8LMzAy9e/dGSkqKpM+dO3fg6+uLSpUqwc7ODlOnTkV+fr6kT3R0NJo1awaNRgMXFxeEh4fr9xnpd2rAZ599hilTpmDfvn1ISkpCenq6ZCMiIqLnO3r0KPz9/XHixAlERkYiLy8P3t7eyMzMFPsEBARg79692LlzJ44ePYq7d+9KFhQUFBTA19cXubm5OH78ODZu3Ijw8HDMmjVL7JOYmAhfX1907NgRcXFxmDRpEkaMGIGDBw/qHKtKEARBl44hISGYPHkyzM3N/+/NzywcFQQBKpUKBQUFOh+8tGTny/ch+q+r0mN5eYdAVOqyIiaU6viLog1XIZ/g8QZycnIkbRqNBhqNRva99+/fh52dHY4ePQpPT0+kpaXB1tYWW7duRZ8+fQAA169fR7169RAbG4vWrVvj559/Rrdu3XD37l3Y29sDANauXYugoCDcv38farUaQUFBiIiIwOXLl8Vj9e/fH6mpqThw4IBO56VzRWHu3LnIzMzEkSNHxC0qKkrcil4TERH9Vxhy6iE0NBSWlpaSLTQ0VKc40tLSAADW1tYAgLNnzyIvLw+dO3cW+7z11luoWbMmYmNjATy9f1HDhg3FJAEAfHx8kJ6ejitXroh9nh2jqE/RGLrQedVDUeGhQ4cOOg9ORESkFMHBwQgMDJS06VJNKCwsxKRJk9C2bVs0aNAAAJCcnAy1Wg0rKytJX3t7eyQnJ4t9nk0SivYX7Xten/T0dGRlZcHU1FQ2Pr2WRz7vqZFERET/NYb8tabrNMO/+fv74/Llyzh27JjhgjEgvRKFN998UzZZePTo0UsFREREVFbK+6FQ48aNw759+xATE4Pq1auL7Q4ODsjNzUVqaqqkqpCSkgIHBwexz6lTpyTjFa2KeLbPv1dKpKSkwMLCQqdqAqBnojB37txid2YkIiIi/QiCgPHjx2P37t2Ijo6Gs7OzZH/z5s1RsWJFHD58GL179wYAxMfH486dO/Dw8AAAeHh4YP78+bh37x7s7OwAAJGRkbCwsICbm5vYZ//+/ZKxIyMjxTF0oVei0L9/fzEYIiKi/7ryulGSv78/tm7dih9//BHm5ubiNQWWlpYwNTWFpaUlhg8fjsDAQFhbW8PCwgLjx4+Hh4cHWrduDQDw9vaGm5sbPvroIyxcuBDJycmYMWMG/P39xSmQMWPGYOXKlZg2bRqGDRuGqKgo7NixAxERETrHqnOiwOsTiIjodVNev9rWrFkDAPDy8pK0b9iwAUOGDAEALFmyBEZGRujduzdycnLg4+OD1atXi32NjY2xb98+jB07Fh4eHqhcuTL8/PwQEhIi9nF2dkZERAQCAgKwbNkyVK9eHd988w18fHx0jlXn+ygYGRkhOTn5P1FR4H0USAl4HwVSgtK+j8KK3xINNtb4ts7ynf6DdK4oFBYWlmYcREREZc6IT4+UpfdjpomIiF4XnFWXp/ezHoiIiEg5WFEgIiLFep0fD20oTBSIiEixyvuGS/8FnHogIiIirVhRICIixWJBQR4TBSIiUixOPcjj1AMRERFpxYoCEREpFgsK8pgoEBGRYrGsLo+fEREREWnFigIRESkWn4wsj4kCEREpFtMEeZx6ICIiIq1YUSAiIsXifRTkMVEgIiLFYpogj1MPREREpBUrCkREpFiceZDHRIGIiBSLyyPlceqBiIiItGJFgYiIFIt/LctjokBERIrFqQd5TKaIiIhIK1YUiIhIsVhPkMdEgYiIFItTD/I49UBERERasaJARESKxb+W5TFRICIixeLUgzwmU0RERKQVKwpERKRYrCfIY6JARESKxZkHeZx6ICIiIq1YUSAiIsUy4uSDLCYKRESkWJx6kMepByIiItKKFQUiIlIsFaceZDFRICIixeLUgzxOPRAREZFWrCgQEZFicdWDPFYUiIhIsVQqw236iImJQffu3eHo6AiVSoU9e/b8Ky5ViduiRYvEPrVq1Sq2f8GCBZJxLl68iPbt28PExAQ1atTAwoUL9f6MmCgQERGVsczMTDRu3BirVq0qcX9SUpJkCwsLg0qlQu/evSX9QkJCJP3Gjx8v7ktPT4e3tzecnJxw9uxZLFq0CHPmzMG6dev0ipVTD0REpFiGvJgxJycHOTk5kjaNRgONRlOsb9euXdG1a1etYzk4OEhe//jjj+jYsSNq164taTc3Ny/Wt8iWLVuQm5uLsLAwqNVq1K9fH3FxcVi8eDFGjRql62mxokBERMqlMuD/QkNDYWlpKdlCQ0NfOsaUlBRERERg+PDhxfYtWLAAVatWRdOmTbFo0SLk5+eL+2JjY+Hp6Qm1Wi22+fj4ID4+Ho8fP9b5+KwoEBERGUBwcDACAwMlbSVVE/S1ceNGmJubo1evXpL2CRMmoFmzZrC2tsbx48cRHByMpKQkLF68GACQnJwMZ2dnyXvs7e3FfVWqVNHp+EwUiIhIsYwMOPWgbZrhZYWFheHDDz+EiYmJpP3ZpKRRo0ZQq9UYPXo0QkNDDRoHpx6IiEixDDn1UBp+/fVXxMfHY8SIEbJ93d3dkZ+fj9u3bwN4ep1DSkqKpE/Ra23XNZSEiQIREdEr6ttvv0Xz5s3RuHFj2b5xcXEwMjKCnZ0dAMDDwwMxMTHIy8sT+0RGRsLV1VXnaQeAiQIRESlYed1HISMjA3FxcYiLiwMAJCYmIi4uDnfu3BH7pKenY+fOnSVWE2JjY7F06VJcuHABt27dwpYtWxAQEIBBgwaJScDAgQOhVqsxfPhwXLlyBdu3b8eyZcuKXUchh9coEBGRYpXXQ6HOnDmDjh07iq+Lfnn7+fkhPDwcALBt2zYIgoABAwYUe79Go8G2bdswZ84c5OTkwNnZGQEBAZIkwNLSEocOHYK/vz+aN28OGxsbzJo1S6+lkQCgEgRBeIFzfKVl58v3Ifqvq9JjeXmHQFTqsiImlOr40fGPDDaWl6u1wcZ6lbCiQEREimXIVQ+vKyYKRESkWOU19fBfwkSBAABnz5xGeNi3uHb1Mu7fv48ly1fh7U6dAQB5eXlYuXwpjv0ag7/++hPmZmZw92iDiQGTYWdnL46RlpqKBZ/Pw9HoIzAyMkKnd7wR9Ml0VKpcudjx7vzxB/r16QljY2McO3GmzM6TlG3KBy3Qs00dvFm9CrJy83HyWhKmb/gNN/5OFfs4O1hiwfB28KjvCE1FY0Se/QOBa6NxLzVL7FPFTIPFYzrgXffaKCwUsOd4AqZ8HYPM7P+7urxzs5qY+WFr1Ktpjey8Avx2+W8EffMr7tz7pyxPmeilcdUDAQCysp7A1dUVwTNmF9uXnZ2N69euYtSYsdi+8wcsXrYStxMTMXHcWEm/4KApuJmQgLXfbMDyVWtx7swZhMyZVWy8vLw8fDI1EM2atyi18yEqSfuGb2BtxEV0mLwD3WbsQYUKRtj3WU9U0jz9m6mSpgL2fdYTAgR0Df4Bb0/ZCXUFI+ya1V1yVfuGqT6o51QV3WbsRu+5P6Fd/Tewavzb4n4newvsnNkN0Rf+hPv47/DezD2oamGKbdN9y/qUSUZ5rXr4L2FFgQAA7dp3QLv2HUrcZ25ujq+/2SBpC54+Ex/2/wBJd++imqMjbt28id+O/Yqt279H/QYNAQCffDoD/mNHIXDqNEnlYeXypahVuzbc3T1wIe586Z0U0b/0mPWj5PWoxb/gz+9GoqmLHX67chcebo5wsjNH6/Hf4Z+sXADAiMWRSNo+Gl6Na+BI3J9wrVEFPi1qoe3EbTiXcA8AEPj1UeyZ8x6Cvz2GpEeZaOZiB2MjFeZsikXR5eJLfziHnTO7oYKxEfILCsv0vEm71/j3u8GwokAvJCMjAyqVCuYWFgCACxfOw9zCQkwSAMDdow2MjIxw6eJFse3kiVhEHjqAT0uoXBCVNYvKTx+W8zgjGwCgqWgMAUBOXoHYJzu3AIWCgDZujgAA97eq4XFGtpgkAEDU+TsoFAS0dH2aEJ9LuIdCARj8jhuMjFSwqKTGwLffQlTcn0wS6D/nP19RKOmxnoJx6dxvm57KycnB0sVfouu7vjAzMwMAPHzwANbW0qVBFSpUgIWlJR4+uA8ASE19jFnTg/H5F4vE9xGVF5UKWDTKE8ev3MXVP54ukTt1PRmZ2XmYP7QNZv0vFioAnw1tiwrGRnCwrgQAsK9SCfefuV4BAAoKBTz6Jxv2VZ5ej/NHSjq6zdiDzZ90xcpxb6OCsRFOXEtCz9nSigaVP6PXec7AQF7pisKff/6JYcOGPbdPSY/1XPTFyz/Wk0qWl5eHqYETIQgCps+aq9d7586eia6+3dC8RctSio5Id0vHeqG+U1UM/uKA2PYgPQsfhv6Md91r48H3Y5GycwwsK2ueVggKdb/ljH2VSlg94W1sOXwN7SZtR+dp3yM3rwBbP323NE6FXoLKgNvr6pWuKDx69AgbN25EWFiY1j4lPdZTMGY1oTTk5eVh6uRJSLp7F+s3bJRUBara2ODRI+mNS/Lz85GeloaqNrYAgNMnT+DokSj8L/zpz1MQBBQWFqJZIzfMnBOC93v1KbuTIUVbMqYD3m3ljM5Bu/D3wwzJvsPn76D+iI2oamGC/IJCpGXmInHzcNxOTgcApDx+AlsrU8l7jI1UsDY3QcrjTADAaN9GSM/MxfQNv4l9hn15CAn/G4ZWrg44FZ9cymdIZDjlmij89NNPz91/69Yt2TFKeqwn78xoeEVJwp0//sA3G/4HKyvpA0UaN26Kf9LTcfXKZbjVbwAAOHXyBAoLC9GwUSMAwP+2bEdB4f/N/UZHHcaGb9dj45ZtsH/mYkei0rRkTAe851EH3sG78EdKutZ+D9OfXrfQoVF12FlWwr6TT/97dPJ6EqqYmaCpiy3OJzydVvNqXANGKhVOxz99Ml8lTQUU/uumtwWFT69NMHql67gK9DqXAgykXBOFnj17QqVS4Xl3kVZx/qhMPMnMlDyM5O+//sL1a9dgaWkJG1tbTAmYgGvXrmLFqq9RWFCAB/ef/gfS0tISFdVq1K5TB23btcfc2TMxY9Zc5OfnIXT+PHTp6iuueKhdp47kmFcvX4aRkRHq1n2z7E6UFG3px17o18EVH8zbh4ysPNhXeXrdQVpmDrJznyaxH3Wuh/g/H+N+Whbc6zngy1GeWLHnvHivhfg/H+PgmdtYNb4TJqw6gorGRlgytgN2xvyOpEdPKwo/n76N8T2bInhAK+w4Gg9zUzXm+rXBHynpiLt5v1zOnUrGGy7JK9dnPbzxxhtYvXo1evToUeL+uLg4NG/eHAUFBSXu14YVBf2dPnUSI4YOLtb+Xo/3McZ/HN717lTi+77Z8D+0bOUO4OkNl0Lnz8PR6CjxhkufBM8o8YZLAPDj7h+w6IvPecOlF8RnPehP23MDRi6JxOZfrgEA5g1pg0Gd68HazAR/3EvHN/svY/ke6TLeKmYaLBnrhXdbOaNQELDntwRM/tcNlz7wrIuA3s1R9w0rPMnJx8nryZix4Tf8/tfj0jvB11BpP+vh5M00g43lXsfSYGO9Sso1UXjvvffQpEkThISElLj/woULaNq0KQoL9VtOxESBlICJAilBaScKp24ZLlFoVfv1TBTKdeph6tSpyMzM1LrfxcUFR44cKcOIiIhISTjxIK9cE4X27ds/d3/lypXRoUPJdwskIiKi0vdKL48kIiIqVSwpyGKiQEREisVVD/K4opeIiIi0YkWBiIgUi7fqkceKAhEREWnFigIRESkWCwrymCgQEZFyMVOQxakHIiIi0ooVBSIiUiwuj5THRIGIiBSLqx7kceqBiIiItGJFgYiIFIsFBXlMFIiISLmYKcji1AMRERFpxYoCEREpFlc9yGOiQEREisVVD/I49UBERERasaJARESKxYKCPCYKRESkXMwUZHHqgYiIiLRiRYGIiBSLqx7kMVEgIiLF4qoHeZx6ICIiIq1YUSAiIsViQUEeEwUiIlIuZgqyOPVARERUxmJiYtC9e3c4OjpCpVJhz549kv1DhgyBSqWSbF26dJH0efToET788ENYWFjAysoKw4cPR0ZGhqTPxYsX0b59e5iYmKBGjRpYuHCh3rEyUSAiIsVSGfB/+sjMzETjxo2xatUqrX26dOmCpKQkcfvuu+8k+z/88ENcuXIFkZGR2LdvH2JiYjBq1Chxf3p6Ory9veHk5ISzZ89i0aJFmDNnDtatW6dXrJx6ICIixTLkqoecnBzk5ORI2jQaDTQaTbG+Xbt2RdeuXZ87nkajgYODQ4n7rl27hgMHDuD06dNo0aIFAGDFihV499138eWXX8LR0RFbtmxBbm4uwsLCoFarUb9+fcTFxWHx4sWShEIOKwpEREQGEBoaCktLS8kWGhr6wuNFR0fDzs4Orq6uGDt2LB4+fCjui42NhZWVlZgkAEDnzp1hZGSEkydPin08PT2hVqvFPj4+PoiPj8fjx491joMVBSIiUixDXssYHByMwMBASVtJ1QRddOnSBb169YKzszNu3ryJTz/9FF27dkVsbCyMjY2RnJwMOzs7yXsqVKgAa2trJCcnAwCSk5Ph7Ows6WNvby/uq1Klik6xMFEgIiLlMmCmoG2a4UX0799f/HfDhg3RqFEj1KlTB9HR0ejUqZNBjqErTj0QERG94mrXrg0bGxskJCQAABwcHHDv3j1Jn/z8fDx69Ei8rsHBwQEpKSmSPkWvtV37UBImCkREpFjltepBX3/99RcePnyIatWqAQA8PDyQmpqKs2fPin2ioqJQWFgId3d3sU9MTAzy8vLEPpGRkXB1ddV52gFgokBERAqmUhlu00dGRgbi4uIQFxcHAEhMTERcXBzu3LmDjIwMTJ06FSdOnMDt27dx+PBh9OjRAy4uLvDx8QEA1KtXD126dMHIkSNx6tQp/Pbbbxg3bhz69+8PR0dHAMDAgQOhVqsxfPhwXLlyBdu3b8eyZcuKXUch+xkJgiDod3qvvuz88o6AqPRV6bG8vEMgKnVZERNKdfyEe1kGG8vFzlTnvtHR0ejYsWOxdj8/P6xZswY9e/bE+fPnkZqaCkdHR3h7e2PevHnixYjA0xsujRs3Dnv37oWRkRF69+6N5cuXw8zMTOxz8eJF+Pv74/Tp07CxscH48eMRFBSk13kxUSD6j2KiQEpQ2onCTQMmCnX0SBT+S7jqgYiIlIvPepDFaxSIiIhIK1YUiIhIsUp7tcLrgIkCEREpliGf9fC64tQDERERacWKAhERKRYLCvKYKBARkXIxU5DFqQciIiLSihUFIiJSLK56kMdEgYiIFIurHuRx6oGIiIi0YkWBiIgUiwUFeUwUiIhIsTj1II9TD0RERKQVKwpERKRgLCnIYaJARESKxakHeZx6ICIiIq1YUSAiIsViQUEeEwUiIlIsTj3I49QDERERacWKAhERKRaf9SCPiQIRESkX8wRZnHogIiIirVhRICIixWJBQR4TBSIiUiyuepDHqQciIiLSihUFIiJSLK56kMdEgYiIlIt5gixOPRAREZFWrCgQEZFisaAgj4kCEREpFlc9yOPUAxEREWnFigIRESkWVz3IY6JARESKxakHeZx6ICIiIq2YKBAREZFWnHogIiLF4tSDPFYUiIiISCtWFIiISLG46kEeKwpERKRYKpXhNn3ExMSge/fucHR0hEqlwp49e8R9eXl5CAoKQsOGDVG5cmU4Ojpi8ODBuHv3rmSMWrVqQaVSSbYFCxZI+ly8eBHt27eHiYkJatSogYULF+r9GTFRICIiKmOZmZlo3LgxVq1aVWzfkydPcO7cOcycORPnzp3DDz/8gPj4eLz33nvF+oaEhCApKUncxo8fL+5LT0+Ht7c3nJyccPbsWSxatAhz5szBunXr9IqVUw9ERKRY5TXx0LVrV3Tt2rXEfZaWloiMjJS0rVy5Eq1atcKdO3dQs2ZNsd3c3BwODg4ljrNlyxbk5uYiLCwMarUa9evXR1xcHBYvXoxRo0bpHCsrCkREpFwqw205OTlIT0+XbDk5OQYJMy0tDSqVClZWVpL2BQsWoGrVqmjatCkWLVqE/Px8cV9sbCw8PT2hVqvFNh8fH8THx+Px48c6H5uJAhERkQGEhobC0tJSsoWGhr70uNnZ2QgKCsKAAQNgYWEhtk+YMAHbtm3DkSNHMHr0aHz++eeYNm2auD85ORn29vaSsYpeJycn63x8Tj0QEZFiGXLVQ3BwMAIDAyVtGo3mpcbMy8tD3759IQgC1qxZI9n37LEaNWoEtVqN0aNHIzQ09KWP+ywmCkREpFiGvOGSRq0x6C/ooiThjz/+QFRUlKSaUBJ3d3fk5+fj9u3bcHV1hYODA1JSUiR9il5ru66hJJx6ICIiesUUJQk3btzAL7/8gqpVq8q+Jy4uDkZGRrCzswMAeHh4ICYmBnl5eWKfyMhIuLq6okqVKjrHwooCEREpVnmtesjIyEBCQoL4OjExEXFxcbC2tka1atXQp08fnDt3Dvv27UNBQYF4TYG1tTXUajViY2Nx8uRJdOzYEebm5oiNjUVAQAAGDRokJgEDBw7E3LlzMXz4cAQFBeHy5ctYtmwZlixZolesKkEQBMOd+qshO1++D9F/XZUey8s7BKJSlxUxoVTHf5JnuF+BlSrqnnZER0ejY8eOxdr9/PwwZ84cODs7l/i+I0eOwMvLC+fOncPHH3+M69evIycnB87Ozvjoo48QGBgomf64ePEi/P39cfr0adjY2GD8+PEICgrS67yYKBD9RzFRICV4XROF/xJOPRARkWLxWQ/ymCgQEZFi8THT8rjqgYiIiLR6La9RoLKVk5OD0NBQBAcHG3QNMdGrhN9zUiomCvTS0tPTYWlpibS0NNkbghD9V/F7TkrFqQciIiLSiokCERERacVEgYiIiLRiokAvTaPRYPbs2bzAi15r/J6TUvFiRiIiItKKFQUiIiLSiokCERERacVEgYiIiLRiokBERERaMVGgl7Zq1SrUqlULJiYmcHd3x6lTp8o7JCKDiYmJQffu3eHo6AiVSoU9e/aUd0hEZYqJAr2U7du3IzAwELNnz8a5c+fQuHFj+Pj44N69e+UdGpFBZGZmonHjxli1alV5h0JULrg8kl6Ku7s7WrZsiZUrVwIACgsLUaNGDYwfPx6ffPJJOUdHZFgqlQq7d+9Gz549yzsUojLDigK9sNzcXJw9exadO3cW24yMjNC5c2fExsaWY2RERGQoTBTohT148AAFBQWwt7eXtNvb2yM5ObmcoiIiIkNiokBERERaMVGgF2ZjYwNjY2OkpKRI2lNSUuDg4FBOURERkSExUaAXplar0bx5cxw+fFhsKywsxOHDh+Hh4VGOkRERkaFUKO8A6L8tMDAQfn5+aNGiBVq1aoWlS5ciMzMTQ4cOLe/QiAwiIyMDCQkJ4uvExETExcXB2toaNWvWLMfIiMoGl0fSS1u5ciUWLVqE5ORkNGnSBMuXL4e7u3t5h0VkENHR0ejYsWOxdj8/P4SHh5d9QERljIkCERERacVrFIiIiEgrJgpERESkFRMFIiIi0oqJAhEREWnFRIGIiIi0YqJAREREWjFRICIiIq2YKBAREZFWTBSISsGQIUPQs2dP8bWXlxcmTZpU5nFER0dDpVIhNTW11I7x73N9EWURJxG9GCYKpBhDhgyBSqWCSqWCWq2Gi4sLQkJCkJ+fX+rH/uGHHzBv3jyd+pb1L81atWph6dKlZXIsIvrv4UOhSFG6dOmCDRs2ICcnB/v374e/vz8qVqyI4ODgYn1zc3OhVqsNclxra2uDjENEVNZYUSBF0Wg0cHBwgJOTE8aOHYvOnTvjp59+AvB/JfT58+fD0dERrq6uAIA///wTffv2hZWVFaytrdGjRw/cvn1bHLOgoACBgYGwsrJC1apVMW3aNPz7ESr/nnrIyclBUFAQatSoAY1GAxcXF3z77be4ffu2+ACiKlWqQKVSYciQIQCePsI7NDQUzs7OMDU1RePGjfH9999LjrN//368+eabMDU1RceOHSVxvoiCggIMHz5cPKarqyuWLVtWYt+5c+fC1tYWFhYWGDNmDHJzc8V9usRORK8mVhRI0UxNTfHw4UPx9eHDh2FhYYHIyEgAQF5eHnx8fODh4YFff/0VFSpUwGeffYYuXbrg4sWLUKvV+OqrrxAeHo6wsDDUq1cPX331FXbv3o23335b63EHDx6M2NhYLF++HI0bN0ZiYiIePHiAGjVqYNeuXejduzfi4+NhYWEBU1NTAEBoaCg2b96MtWvXom7duoiJicGgQYNga2uLDh064M8//0SvXr3g7++PUaNG4cyZM5g8efJLfT6FhYWoXr06du7ciapVq+L48eMYNWoUqlWrhr59+0o+NxMTE0RHR+P27dsYOnQoqlativnz5+sUOxG9wgQihfDz8xN69OghCIIgFBYWCpGRkYJGoxGmTJki7re3txdycnLE92zatElwdXUVCgsLxbacnBzB1NRUOHjwoCAIglCtWjVh4cKF4v68vDyhevXq4rEEQRA6dOggTJw4URAEQYiPjxcACJGRkSXGeeTIEQGA8PjxY7EtOztbqFSpknD8+HFJ3+HDhwsDBgwQBEEQgoODBTc3N8n+oKCgYmP9m5OTk7BkyRKt+//N399f6N27t/jaz89PsLa2FjIzM8W2NWvWCGZmZkJBQYFOsZd0zkT0amBFgRRl3759MDMzQ15eHgoLCzFw4EDMmTNH3N+wYUPJdQkXLlxAQkICzM3NJeNkZ2fj5s2bSEtLQ1JSEtzd3cV9FSpUQIsWLYpNPxSJi4uDsbGxXn9JJyQk4MmTJ3jnnXck7bm5uWjatCkA4Nq1a5I4AMDDw0PnY2izatUqhIWF4c6dO8jKykJubi6aNGki6dO4cWNUqlRJctyMjAz8+eefyMjIkI2diF5dTBRIUTp27Ig1a9ZArVbD0dERFSpI/y9QuXJlyeuMjAw0b94cW7ZsKTaWra3tC8VQNJWgj4yMDABAREQE3njjDck+jUbzQnHoYtu2bZgyZQq++uoreHh4wNzcHIsWLcLJkyd1HqO8Yiciw2CiQIpSuXJluLi46Ny/WbNm2L59O+zs7GBhYVFin2rVquHkyZPw9PQEAOTn5+Ps2bNo1qxZif0bNmyIwsJCHD16FJ07dy62v6iiUVBQILa5ublBo9Hgzp07WisR9erVEy/MLHLixAn5k3yO3377DW3atMHHH38stt28ebNYvwsXLiArK0tMgk6cOAEzMzPUqFED1tbWsrET0auLqx6InuPDDz+EjY0NevTogV9//RWJiYmIjo7GhAkT8NdffwEAJk6ciAULFmDPnj24fv06Pv744+feA6FWrVrw8/PDsGHDsGfPHnHMHTt2AACcnJygUqmwb98+3L9/HxkZGTA3N8eUKVMQEBCAjRs34ubNmzh37hxWrFiBjRs3AgDGjBmDGzduYOrUqYiPj8fWrVsRHh6u03n+/fffiIuLk2yPHz9G3bp1cebMGRw8eBC///47Zs6cidOnTxd7f25uLoYPH46rV69i//79mD17NsaNGwcjIyOdYieiV1h5XyRBVFaevZhRn/1JSUnC4MGDBRsbG0Gj0Qi1a9cWRo4cKaSlpQmC8PTixYkTJwoWFhaClZWVEBgYKAwePFjrxYyCIAhZWVlCQECAUK1aNUGtVgsuLi5CWFiYuD8kJERwcHAQVCqV4OfnJwjC0wswly5dKri6ugoVK1YUbG1tBR8fH+Ho0aPi+/bu3Su4uLgIGo1GaN++vRAWFqbTxYwAim2bNm0SsrOzhSFDhgiWlpaClZWVMHbsWOGTTz4RGjduXOxzmzVrllC1alXBzMxMGDlypJCdnS32kYudFzMSvbpUgqDliisiIiJSPE49EBERkVZMFIiIiEgrJgpERESkFRMFIiIi0oqJAhEREWnFRIGIiIi0YqJAREREWjFRICIiIq2YKBAREZFWTBSIiIhIKyYKREREpNX/A52Dkrzj82EpAAAAAElFTkSuQmCC\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["# Convert results list into DataFrame\n","results_df = pd.DataFrame(results_list)\n","\n","# Reorder columns (including Balanced Accuracy clearly)\n","results_df = results_df[[\n"," \"Strategy\",\n"," \"Best Epoch\",\n"," \"Accuracy\",\n"," \"Balanced Accuracy\",\n"," \"Precision\",\n"," \"Recall\",\n"," \"Specificity\",\n"," \"F1 Score\",\n"," \"AUC\"\n","]]\n","\n","# Round values for better readability\n","results_df = results_df.round(4)\n","\n","# Display table\n","print(\"\\n===============================\")\n","print(\"FINAL RESULTS TABLE\")\n","print(\"===============================\")\n","display(results_df)\n","\n","# Save table\n","results_df.to_csv(BASE_DIR + \"/tables/final_strategy_results.csv\", index=False)\n","\n","print(\"\\nResults saved successfully at:\")\n","print(BASE_DIR + \"/tables/final_strategy_results.csv\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":296},"id":"kVuuhPYvi6Ub","executionInfo":{"status":"ok","timestamp":1774367519229,"user_tz":-330,"elapsed":659,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"610c7275-1131-479b-a4ad-fd0be4ac762b"},"execution_count":16,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","===============================\n","FINAL RESULTS TABLE\n","===============================\n"]},{"output_type":"display_data","data":{"text/plain":[" Strategy Best Epoch Accuracy Balanced Accuracy Precision Recall \\\n","0 english 4 0.7255 0.7255 0.6783 0.8582 \n","1 hindi 5 0.6027 0.5883 0.5686 0.4548 \n","2 hinglish 5 0.7111 0.6594 0.7204 0.4240 \n","3 Full Dataset 5 0.6779 0.6799 0.6384 0.7072 \n","\n"," Specificity F1 Score AUC \n","0 0.5927 0.7577 0.7983 \n","1 0.7219 0.5053 0.6101 \n","2 0.8947 0.5338 0.7312 \n","3 0.6525 0.6711 0.7472 "],"text/html":["\n","
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StrategyBest EpochAccuracyBalanced AccuracyPrecisionRecallSpecificityF1 ScoreAUC
0english40.72550.72550.67830.85820.59270.75770.7983
1hindi50.60270.58830.56860.45480.72190.50530.6101
2hinglish50.71110.65940.72040.42400.89470.53380.7312
3Full Dataset50.67790.67990.63840.70720.65250.67110.7472
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"results_df","summary":"{\n \"name\": \"results_df\",\n \"rows\": 4,\n \"fields\": [\n {\n \"column\": \"Strategy\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"hindi\",\n \"Full Dataset\",\n \"english\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Best Epoch\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 4,\n \"max\": 5,\n \"num_unique_values\": 2,\n \"samples\": [\n 5,\n 4\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.054818488365392444,\n \"min\": 0.6027,\n \"max\": 0.7255,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.6027,\n 0.6779\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Balanced Accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.05710985758460033,\n \"min\": 0.5883,\n \"max\": 0.7255,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5883,\n 0.6799\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Precision\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.06457411116951851,\n \"min\": 0.5686,\n \"max\": 0.7204,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5686,\n 0.6384\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Recall\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.20795008215114189,\n \"min\": 0.424,\n \"max\": 0.8582,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.4548,\n 0.7072\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Specificity\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.13064255304710895,\n \"min\": 0.5927,\n \"max\": 0.8947,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.7219,\n 0.6525\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"F1 Score\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.11849392037850157,\n \"min\": 0.5053,\n \"max\": 0.7577,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5053,\n 0.6711\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AUC\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.07971327785674523,\n \"min\": 0.6101,\n \"max\": 0.7983,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.6101,\n 0.7472\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","Results saved successfully at:\n","/content/drive/MyDrive/nprism/nprism_reg_tr/word2vec_bilstm_nprism_results/tables/final_strategy_results.csv\n"]}]},{"cell_type":"code","source":["# Plot training vs validation accuracy\n","plt.figure(figsize=(6,4))\n","\n","plt.plot(history.history['accuracy'], label='Train Accuracy')\n","plt.plot(history.history['val_accuracy'], label='Validation Accuracy')\n","\n","plt.grid(True)\n","plt.legend()\n","\n","plt.savefig(BASE_DIR + \"/figures/training_accuracy_curve.png\", dpi=300)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":372},"id":"wXf8YJjo09gG","executionInfo":{"status":"ok","timestamp":1774367530059,"user_tz":-330,"elapsed":1331,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"e26c58bd-dc1f-4a1f-809f-be89fc029088"},"execution_count":17,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["# Plot training vs validation loss\n","plt.figure(figsize=(6,4))\n","\n","plt.plot(history.history['loss'], label='Train Loss')\n","plt.plot(history.history['val_loss'], label='Validation Loss')\n","\n","plt.grid(True)\n","plt.legend()\n","\n","plt.savefig(BASE_DIR + \"/figures/training_loss_curve.png\", dpi=300)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":368},"id":"GlZ6FuV-1Bbb","executionInfo":{"status":"ok","timestamp":1774367533606,"user_tz":-330,"elapsed":781,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"4fcd71f4-5637-4d22-a52f-9ee01f08c712"},"execution_count":18,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["# Compute ROC curve values\n","fpr, tpr, _ = roc_curve(y_test, y_prob)\n","\n","plt.figure(figsize=(6,4))\n","plt.plot(fpr, tpr)\n","\n","plt.grid(True)\n","\n","plt.xlabel(\"False Positive Rate\")\n","plt.ylabel(\"True Positive Rate\")\n","\n","plt.savefig(BASE_DIR + \"/figures/roc_curve.png\", dpi=300)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":356},"id":"TtLXdl730JyS","executionInfo":{"status":"error","timestamp":1774367536489,"user_tz":-330,"elapsed":41,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"661b982b-810c-421c-d35c-c2656d82670b"},"execution_count":19,"outputs":[{"output_type":"error","ename":"ValueError","evalue":"Found input variables with inconsistent numbers of samples: [8852, 1433]","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_7210/1998487848.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# Compute ROC curve values\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mfpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mroc_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_prob\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtpr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/sklearn/utils/_param_validation.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 214\u001b[0m )\n\u001b[1;32m 215\u001b[0m ):\n\u001b[0;32m--> 216\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 217\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mInvalidParameterError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 218\u001b[0m \u001b[0;31m# When the function is just a wrapper around an estimator, we allow\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/sklearn/metrics/_ranking.py\u001b[0m in \u001b[0;36mroc_curve\u001b[0;34m(y_true, y_score, pos_label, sample_weight, drop_intermediate)\u001b[0m\n\u001b[1;32m 1148\u001b[0m \u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m \u001b[0minf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.8\u001b[0m \u001b[0;34m,\u001b[0m \u001b[0;36m0.4\u001b[0m \u001b[0;34m,\u001b[0m \u001b[0;36m0.35\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.1\u001b[0m \u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1149\u001b[0m \"\"\"\n\u001b[0;32m-> 1150\u001b[0;31m fps, tps, thresholds = _binary_clf_curve(\n\u001b[0m\u001b[1;32m 1151\u001b[0m \u001b[0my_true\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_score\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpos_label\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpos_label\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msample_weight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msample_weight\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1152\u001b[0m )\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/sklearn/metrics/_ranking.py\u001b[0m in \u001b[0;36m_binary_clf_curve\u001b[0;34m(y_true, y_score, pos_label, sample_weight)\u001b[0m\n\u001b[1;32m 818\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"{0} format is not supported\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_type\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 819\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 820\u001b[0;31m \u001b[0mcheck_consistent_length\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_true\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_score\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msample_weight\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 821\u001b[0m \u001b[0my_true\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcolumn_or_1d\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_true\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 822\u001b[0m \u001b[0my_score\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcolumn_or_1d\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_score\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/sklearn/utils/validation.py\u001b[0m in \u001b[0;36mcheck_consistent_length\u001b[0;34m(*arrays)\u001b[0m\n\u001b[1;32m 473\u001b[0m \u001b[0muniques\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlengths\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 474\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muniques\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 475\u001b[0;31m raise ValueError(\n\u001b[0m\u001b[1;32m 476\u001b[0m \u001b[0;34m\"Found input variables with inconsistent numbers of samples: %r\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 477\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ml\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0ml\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mlengths\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mValueError\u001b[0m: Found input variables with inconsistent numbers of samples: [8852, 1433]"]}]},{"cell_type":"code","source":["# Plot confusion matrix\n","plt.figure(figsize=(6,4))\n","\n","sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n","\n","plt.xlabel(\"Predicted Label\")\n","plt.ylabel(\"True Label\")\n","\n","plt.savefig(BASE_DIR + \"/figures/confusion_matrix.png\", dpi=300)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":388},"id":"u3At-nLd0t4O","executionInfo":{"status":"ok","timestamp":1774367542321,"user_tz":-330,"elapsed":995,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"9eedc878-1374-44a0-c81a-8b57071cf032"},"execution_count":20,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["# Calculate precision recall curve\n","precision_vals, recall_vals, _ = precision_recall_curve(y_test, y_prob)\n","\n","plt.figure(figsize=(6,4))\n","\n","plt.plot(recall_vals, precision_vals)\n","\n","plt.grid(True)\n","\n","plt.xlabel(\"Recall\")\n","plt.ylabel(\"Precision\")\n","\n","plt.savefig(BASE_DIR + \"/figures/precision_recall_curve.png\", dpi=300)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":356},"id":"znr68L5c0xAV","executionInfo":{"status":"error","timestamp":1774367545170,"user_tz":-330,"elapsed":19,"user":{"displayName":"Pankaj Biswas","userId":"01762570627531019205"}},"outputId":"7cb5c083-3a7b-4adb-b6f0-e759792c9791"},"execution_count":21,"outputs":[{"output_type":"error","ename":"ValueError","evalue":"Found input variables with inconsistent numbers of samples: [8852, 1433]","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_7210/703387008.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# Calculate precision recall curve\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprecision_vals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrecall_vals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mprecision_recall_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_prob\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/sklearn/utils/_param_validation.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 214\u001b[0m )\n\u001b[1;32m 215\u001b[0m ):\n\u001b[0;32m--> 216\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 217\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mInvalidParameterError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 218\u001b[0m \u001b[0;31m# When the function is just a wrapper around an estimator, we allow\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/sklearn/metrics/_ranking.py\u001b[0m in \u001b[0;36mprecision_recall_curve\u001b[0;34m(y_true, y_score, pos_label, sample_weight, drop_intermediate, probas_pred)\u001b[0m\n\u001b[1;32m 1003\u001b[0m \u001b[0my_score\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mprobas_pred\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1004\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1005\u001b[0;31m fps, tps, thresholds = _binary_clf_curve(\n\u001b[0m\u001b[1;32m 1006\u001b[0m \u001b[0my_true\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_score\u001b[0m\u001b[0;34m,\u001b[0m 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Biswas","userId":"01762570627531019205"}},"outputId":"a1e0fc93-f58e-46f3-d7f7-a4af585190e5"},"execution_count":22,"outputs":[{"output_type":"execute_result","data":{"text/plain":[" Strategy Best Epoch Accuracy Balanced Accuracy Precision Recall \\\n","0 Full Dataset 5 0.677926 0.679865 0.638419 0.707198 \n","\n"," Specificity F1 Score AUC \n","0 0.652532 0.671051 0.747248 "],"text/html":["\n","
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StrategyBest EpochAccuracyBalanced AccuracyPrecisionRecallSpecificityF1 ScoreAUC
0Full Dataset50.6779260.6798650.6384190.7071980.6525320.6710510.747248
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null,\n \"min\": 0.6798650445746934,\n \"max\": 0.6798650445746934,\n \"num_unique_values\": 1,\n \"samples\": [\n 0.6798650445746934\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Precision\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": 0.6384193194291987,\n \"max\": 0.6384193194291987,\n \"num_unique_values\": 1,\n \"samples\": [\n 0.6384193194291987\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Recall\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": 0.7071984435797666,\n \"max\": 0.7071984435797666,\n \"num_unique_values\": 1,\n \"samples\": [\n 0.7071984435797666\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Specificity\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": 0.6525316455696203,\n \"max\": 0.6525316455696203,\n \"num_unique_values\": 1,\n \"samples\": [\n 0.6525316455696203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"F1 Score\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": 0.6710511134187147,\n \"max\": 0.6710511134187147,\n \"num_unique_values\": 1,\n \"samples\": [\n 0.6710511134187147\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AUC\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": 0.7472479693066706,\n \"max\": 0.7472479693066706,\n \"num_unique_values\": 1,\n \"samples\": [\n 0.7472479693066706\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":22}]},{"cell_type":"code","source":[],"metadata":{"id":"iIVfnrwE1I4o"},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/phase6/notebooks/word2vec_bilstm_sequential.ipynb b/phase6/notebooks/word2vec_bilstm_sequential.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..b6cfcab60a8043af4d2a9b0552b8f3ad627e0c94 --- /dev/null +++ b/phase6/notebooks/word2vec_bilstm_sequential.ipynb @@ -0,0 +1 @@ +{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyMLqCVd8H4kMPQHTXyqSrS9"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"03GNAUqgyN3Q","executionInfo":{"status":"ok","timestamp":1774376195063,"user_tz":-330,"elapsed":6745,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"ed3835e8-ce07-48fe-ae85-fe2adf45150e"},"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting gensim\n"," Downloading gensim-4.4.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (8.4 kB)\n","Requirement already satisfied: seaborn in /usr/local/lib/python3.12/dist-packages (0.13.2)\n","Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (1.6.1)\n","Requirement already satisfied: numpy>=1.18.5 in /usr/local/lib/python3.12/dist-packages (from gensim) (2.0.2)\n","Requirement already satisfied: scipy>=1.7.0 in /usr/local/lib/python3.12/dist-packages (from gensim) (1.16.3)\n","Requirement already satisfied: smart_open>=1.8.1 in /usr/local/lib/python3.12/dist-packages (from gensim) (7.5.1)\n","Requirement already satisfied: pandas>=1.2 in /usr/local/lib/python3.12/dist-packages (from seaborn) (2.2.2)\n","Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in /usr/local/lib/python3.12/dist-packages (from seaborn) (3.10.0)\n","Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (1.5.3)\n","Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (3.6.0)\n","Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.3.3)\n","Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (0.12.1)\n","Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (4.62.1)\n","Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.5.0)\n","Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (26.0)\n","Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (11.3.0)\n","Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (3.3.2)\n","Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.12/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (2.9.0.post0)\n","Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas>=1.2->seaborn) (2025.2)\n","Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas>=1.2->seaborn) (2025.3)\n","Requirement already satisfied: wrapt in /usr/local/lib/python3.12/dist-packages (from smart_open>=1.8.1->gensim) (2.1.2)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.4->seaborn) (1.17.0)\n","Downloading gensim-4.4.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (27.9 MB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27.9/27.9 MB\u001b[0m \u001b[31m72.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hInstalling collected packages: gensim\n","Successfully installed gensim-4.4.0\n"]}],"source":["# Install required libraries\n","!pip install gensim seaborn scikit-learn"]},{"cell_type":"code","source":["import os\n","import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","from gensim.models import Word2Vec\n","\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import accuracy_score, balanced_accuracy_score\n","from sklearn.metrics import precision_score, recall_score, f1_score\n","from sklearn.metrics import roc_auc_score, confusion_matrix\n","from sklearn.metrics import roc_curve, precision_recall_curve\n","\n","from tensorflow.keras.preprocessing.text import Tokenizer\n","from tensorflow.keras.preprocessing.sequence import pad_sequences\n","from tensorflow.keras.models import Sequential\n","from tensorflow.keras.layers import Embedding, Bidirectional, LSTM\n","from tensorflow.keras.layers import Dense, Dropout"],"metadata":{"id":"QX3odspPyshD","executionInfo":{"status":"ok","timestamp":1774376241992,"user_tz":-330,"elapsed":9000,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":4,"outputs":[]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0C8i8j2lyzdc","executionInfo":{"status":"ok","timestamp":1774376275346,"user_tz":-330,"elapsed":28167,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"f190bc5e-7143-4873-e240-39d3408cd565"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["base_path = \"/content/drive/MyDrive/nprism/word2vec_bil_np\"\n","\n","os.makedirs(base_path+\"/dataset_splits\", exist_ok=True)\n","os.makedirs(base_path+\"/figures\", exist_ok=True)\n","os.makedirs(base_path+\"/results_tables\", exist_ok=True)\n","os.makedirs(base_path+\"/trained_models\", exist_ok=True)"],"metadata":{"id":"zsUcAyA5y3xD","executionInfo":{"status":"ok","timestamp":1774376280252,"user_tz":-330,"elapsed":1333,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":6,"outputs":[]},{"cell_type":"code","source":["# Change path if your dataset location is different\n","data_path = \"/content/drive/MyDrive/Project_nlp/datasets/nprism - nprism.csv\"\n","\n","df = pd.read_csv(data_path)\n","\n","df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"bJFfartuzFLd","executionInfo":{"status":"ok","timestamp":1774376284781,"user_tz":-330,"elapsed":1402,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"3bf237db-b9fb-4dde-ced5-076be98471fc"},"execution_count":7,"outputs":[{"output_type":"execute_result","data":{"text/plain":[" clean_text hate_label language \\\n","0 Knowing ki Vikas kitna samjhata hai Priyanka a... 0 hinglish \n","1 I am Muhajir .. Aur mere lye sab se Pehly Paki... 0 hinglish \n","2 Doctor sab sahi me ke PhD (in hate politics) w... 0 hinglish \n","3 Poore Desh me Patel OBC me aate Hain sirf gujr... 0 hinglish \n","4 Sarkar banne ke bad Hindu hit me ek bhi faisla... 1 hinglish \n","\n"," text_length word_count \n","0 126 25 \n","1 196 41 \n","2 166 29 \n","3 257 49 \n","4 140 25 "],"text/html":["\n","
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clean_texthate_labellanguagetext_lengthword_count
0Knowing ki Vikas kitna samjhata hai Priyanka a...0hinglish12625
1I am Muhajir .. Aur mere lye sab se Pehly Paki...0hinglish19641
2Doctor sab sahi me ke PhD (in hate politics) w...0hinglish16629
3Poore Desh me Patel OBC me aate Hain sirf gujr...0hinglish25749
4Sarkar banne ke bad Hindu hit me ek bhi faisla...1hinglish14025
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"df","summary":"{\n \"name\": \"df\",\n \"rows\": 29506,\n \"fields\": [\n {\n \"column\": \"clean_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 29506,\n \"samples\": [\n \"Khatmalo ko maar maar kar khoon jaama karne se .. blood bank nahin ban jaata sir aaj kal party me aesa hi kuch ho raha hai\",\n \"my worse bitch looks better than your main bitch now that is bad right there laughing out loud\",\n \"they could just be people on holiday\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"hate_label\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"language\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"hinglish\",\n \"hindi\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"text_length\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 189,\n \"min\": 1,\n \"max\": 1926,\n \"num_unique_values\": 1191,\n \"samples\": [\n 752,\n 225\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"word_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 34,\n \"min\": 1,\n \"max\": 300,\n \"num_unique_values\": 291,\n \"samples\": [\n 128,\n 237\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":7}]},{"cell_type":"code","source":["plt.figure(figsize=(6,4))\n","df['language'].value_counts().plot.pie(autopct='%1.1f%%')\n","plt.title(\"Dataset Language Distribution\")\n","plt.ylabel(\"\")\n","plt.savefig(base_path+\"/figures/language_distribution.png\", dpi=300)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":367},"id":"56AxyjLfzPxl","executionInfo":{"status":"ok","timestamp":1774376293307,"user_tz":-330,"elapsed":1360,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"06dba5f3-7926-4c41-c2ca-bb3fb4f1759a"},"execution_count":8,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["X = df[\"clean_text\"]\n","y = df[\"hate_label\"]\n","lang = df[\"language\"]\n","\n","X_temp, X_test, y_temp, y_test, lang_temp, lang_test = train_test_split(\n"," X, y, lang, test_size=0.30, stratify=y, random_state=42)\n","\n","X_train, X_val, y_train, y_val, lang_train, lang_val = train_test_split(\n"," X_temp, y_temp, lang_temp,\n"," test_size=0.1428,\n"," stratify=y_temp,\n"," random_state=42\n",")"],"metadata":{"id":"T3axzAcIzSnL","executionInfo":{"status":"ok","timestamp":1774376295013,"user_tz":-330,"elapsed":30,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["pd.DataFrame({\"text\":X_train,\"label\":y_train,\"lang\":lang_train}).to_csv(\n"," base_path+\"/dataset_splits/train.csv\", index=False)\n","\n","pd.DataFrame({\"text\":X_val,\"label\":y_val,\"lang\":lang_val}).to_csv(\n"," base_path+\"/dataset_splits/val.csv\", index=False)\n","\n","pd.DataFrame({\"text\":X_test,\"label\":y_test,\"lang\":lang_test}).to_csv(\n"," base_path+\"/dataset_splits/test.csv\", index=False)"],"metadata":{"id":"8fDslaU2zVAl","executionInfo":{"status":"ok","timestamp":1774376300121,"user_tz":-330,"elapsed":1602,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["MAX_LEN = 100\n","VOCAB = 50000\n","\n","tokenizer = Tokenizer(num_words=VOCAB)\n","tokenizer.fit_on_texts(X_train)\n","\n","X_train_seq = pad_sequences(tokenizer.texts_to_sequences(X_train), maxlen=MAX_LEN)\n","X_val_seq = pad_sequences(tokenizer.texts_to_sequences(X_val), maxlen=MAX_LEN)\n","X_test_seq = pad_sequences(tokenizer.texts_to_sequences(X_test), maxlen=MAX_LEN)"],"metadata":{"id":"KNURCqU5zXig","executionInfo":{"status":"ok","timestamp":1774376302984,"user_tz":-330,"elapsed":1333,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":11,"outputs":[]},{"cell_type":"code","source":["sentences = [text.split() for text in X_train]\n","\n","w2v = Word2Vec(\n"," sentences,\n"," vector_size=300,\n"," window=5,\n"," min_count=2,\n"," workers=4\n",")"],"metadata":{"id":"-tBpkchszZwq","executionInfo":{"status":"ok","timestamp":1774376315068,"user_tz":-330,"elapsed":6761,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":12,"outputs":[]},{"cell_type":"code","source":["word_index = tokenizer.word_index\n","embedding_dim = 300\n","\n","embedding_matrix = np.zeros((len(word_index)+1, embedding_dim))\n","\n","for word, i in word_index.items():\n"," if word in w2v.wv:\n"," embedding_matrix[i] = w2v.wv[word]"],"metadata":{"id":"V_mSRb73zcUT","executionInfo":{"status":"ok","timestamp":1774376322276,"user_tz":-330,"elapsed":67,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":13,"outputs":[]},{"cell_type":"code","source":["model = Sequential()\n","\n","model.add(\n"," Embedding(\n"," len(word_index)+1,\n"," embedding_dim,\n"," weights=[embedding_matrix],\n"," input_length=MAX_LEN,\n"," trainable=False\n"," )\n",")\n","\n","model.add(Bidirectional(LSTM(128)))\n","model.add(Dropout(0.5))\n","model.add(Dense(64, activation=\"relu\"))\n","model.add(Dense(1, activation=\"sigmoid\"))\n","\n","model.compile(\n"," optimizer=\"adam\",\n"," loss=\"binary_crossentropy\",\n"," metrics=[\"accuracy\"]\n",")\n","\n","model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":344},"id":"g6-BIvREzis_","executionInfo":{"status":"ok","timestamp":1774376332078,"user_tz":-330,"elapsed":3291,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"e92c22a9-4780-4fdd-d869-66de387bc25e"},"execution_count":14,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/core/embedding.py:100: UserWarning: Argument `input_length` is deprecated. Just remove it.\n"," warnings.warn(\n"]},{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"sequential\"\u001b[0m\n"],"text/html":["
Model: \"sequential\"\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ embedding (\u001b[38;5;33mEmbedding\u001b[0m) │ ? │ \u001b[38;5;34m13,344,300\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional (\u001b[38;5;33mBidirectional\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout (\u001b[38;5;33mDropout\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense (\u001b[38;5;33mDense\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_1 (\u001b[38;5;33mDense\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n"],"text/html":["
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ embedding (Embedding)           │ ?                      │    13,344,300 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ bidirectional (Bidirectional)   │ ?                      │   0 (unbuilt) │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout (Dropout)               │ ?                      │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense (Dense)                   │ ?                      │   0 (unbuilt) │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_1 (Dense)                 │ ?                      │   0 (unbuilt) │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m13,344,300\u001b[0m (50.90 MB)\n"],"text/html":["
 Total params: 13,344,300 (50.90 MB)\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"],"text/html":["
 Trainable params: 0 (0.00 B)\n","
\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m13,344,300\u001b[0m (50.90 MB)\n"],"text/html":["
 Non-trainable params: 13,344,300 (50.90 MB)\n","
\n"]},"metadata":{}}]},{"cell_type":"code","source":["def evaluate_metrics(y_true, y_pred_prob):\n","\n"," y_pred = (y_pred_prob > 0.5).astype(int)\n","\n"," acc = accuracy_score(y_true, y_pred)\n"," bal = balanced_accuracy_score(y_true, y_pred)\n"," prec = precision_score(y_true, y_pred)\n"," rec = recall_score(y_true, y_pred)\n"," f1 = f1_score(y_true, y_pred)\n"," auc = roc_auc_score(y_true, y_pred_prob)\n","\n"," tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()\n"," spec = tn/(tn+fp)\n","\n"," return acc, bal, prec, rec, spec, f1, auc"],"metadata":{"id":"v2aMpIS7zk5Z","executionInfo":{"status":"ok","timestamp":1774376375902,"user_tz":-330,"elapsed":30,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":15,"outputs":[]},{"cell_type":"code","source":["def plot_training(history, name):\n","\n"," plt.figure(figsize=(12,5))\n","\n"," # Accuracy\n"," plt.subplot(1,2,1)\n"," plt.plot(history.history['accuracy'], label='Train')\n"," plt.plot(history.history['val_accuracy'], label='Validation')\n"," plt.title(f\"{name} Accuracy\")\n"," plt.xlabel(\"Epoch\")\n"," plt.ylabel(\"Accuracy\")\n"," plt.legend()\n"," plt.grid(True)\n","\n"," # Loss\n"," plt.subplot(1,2,2)\n"," plt.plot(history.history['loss'], label='Train')\n"," plt.plot(history.history['val_loss'], label='Validation')\n"," plt.title(f\"{name} Loss\")\n"," plt.xlabel(\"Epoch\")\n"," plt.ylabel(\"Loss\")\n"," plt.legend()\n"," plt.grid(True)\n","\n"," plt.tight_layout()\n","\n"," plt.savefig(base_path+f\"/figures/{name}_training.png\", dpi=300)\n","\n"," plt.show()"],"metadata":{"id":"00hIVBMbEuhw","executionInfo":{"status":"ok","timestamp":1774376391926,"user_tz":-330,"elapsed":29,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":16,"outputs":[]},{"cell_type":"code","source":["strategies = [\"english\",\"hindi\",\"hinglish\"]\n","\n","results = []\n","epoch_start = 1\n","\n","for strategy in strategies:\n","\n"," print(\"Training Strategy:\", strategy)\n","\n"," idx = (lang_train == strategy)\n","\n"," X_lang = X_train_seq[idx]\n"," y_lang = y_train[idx]\n","\n"," history = model.fit(\n"," X_lang,\n"," y_lang,\n"," validation_data=(X_val_seq, y_val),\n"," epochs=epoch_start+7,\n"," initial_epoch=epoch_start-1,\n"," batch_size=32\n"," )\n","\n"," # ✅ ADD TRAINING PLOT\n"," plot_training(history, strategy)\n","\n"," epoch_start += 8\n","\n"," preds = model.predict(X_test_seq)\n","\n"," acc, bal, prec, rec, spec, f1, auc = evaluate_metrics(y_test, preds)\n","\n"," results.append([strategy, epoch_start-1, acc, bal, prec, rec, spec, f1, auc])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"lQNmPb-Pzn1v","executionInfo":{"status":"ok","timestamp":1774376506272,"user_tz":-330,"elapsed":98522,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"fdc03e3f-1874-4e0a-e8a3-40a896520097"},"execution_count":17,"outputs":[{"output_type":"stream","name":"stdout","text":["Training Strategy: english\n","Epoch 1/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 16ms/step - accuracy: 0.6333 - loss: 0.6309 - val_accuracy: 0.5468 - val_loss: 0.7610\n","Epoch 2/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 14ms/step - accuracy: 0.7017 - loss: 0.5712 - val_accuracy: 0.5634 - val_loss: 0.7283\n","Epoch 3/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 19ms/step - accuracy: 0.7142 - loss: 0.5576 - val_accuracy: 0.5668 - val_loss: 0.7008\n","Epoch 4/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 14ms/step - accuracy: 0.7184 - loss: 0.5465 - val_accuracy: 0.6010 - val_loss: 0.6680\n","Epoch 5/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 14ms/step - accuracy: 0.7291 - loss: 0.5357 - val_accuracy: 0.5742 - val_loss: 0.6953\n","Epoch 6/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 18ms/step - accuracy: 0.7310 - loss: 0.5314 - val_accuracy: 0.6024 - val_loss: 0.6905\n","Epoch 7/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 15ms/step - accuracy: 0.7357 - loss: 0.5229 - val_accuracy: 0.5722 - val_loss: 0.6718\n","Epoch 8/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 14ms/step - accuracy: 0.7364 - loss: 0.5225 - val_accuracy: 0.5946 - val_loss: 0.7020\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 6ms/step\n","Training Strategy: hindi\n","Epoch 9/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 22ms/step - accuracy: 0.5459 - loss: 0.6913 - val_accuracy: 0.5251 - val_loss: 1.1339\n","Epoch 10/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5503 - loss: 0.6862 - val_accuracy: 0.5298 - val_loss: 1.0969\n","Epoch 11/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.5558 - loss: 0.6822 - val_accuracy: 0.5417 - val_loss: 1.0533\n","Epoch 12/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 16ms/step - accuracy: 0.5689 - loss: 0.6809 - val_accuracy: 0.5485 - val_loss: 1.0092\n","Epoch 13/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 22ms/step - accuracy: 0.5797 - loss: 0.6803 - val_accuracy: 0.5512 - val_loss: 1.0164\n","Epoch 14/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 17ms/step - accuracy: 0.5794 - loss: 0.6782 - val_accuracy: 0.5515 - val_loss: 1.0149\n","Epoch 15/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 18ms/step - accuracy: 0.5846 - loss: 0.6770 - val_accuracy: 0.5536 - val_loss: 0.9929\n","Epoch 16/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 39ms/step - accuracy: 0.5785 - loss: 0.6784 - val_accuracy: 0.5183 - val_loss: 0.9125\n"]},{"output_type":"display_data","data":{"text/plain":["
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21/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - accuracy: 0.7182 - loss: 0.5683 - val_accuracy: 0.5759 - val_loss: 0.7397\n","Epoch 22/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - accuracy: 0.7195 - loss: 0.5629 - val_accuracy: 0.5705 - val_loss: 0.7468\n","Epoch 23/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - accuracy: 0.7227 - loss: 0.5579 - val_accuracy: 0.5600 - val_loss: 0.7935\n","Epoch 24/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 0.7261 - loss: 0.5517 - val_accuracy: 0.5559 - val_loss: 0.7848\n"]},{"output_type":"display_data","data":{"text/plain":["
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mABAmzZtijYYybepU6disVjo1auXq0MRERGRPNL4S0SKC92+JyIuNXPmTKZOnco999xDuXLlWLlyJd999x0dOnSgZcuWrg5PLmPp0qVs376dt956i86dOxMVFeXqkERERCSPNP4SkeJCRSkRcakGDRrg5ubGuHHjSExMdCy++eabb7o6NLmCMWPGsGrVKlq2bMlHH33k6nBEREQkHzT+EpHiQmtKiYiIiIiIiIhIkdOaUiIiIiIiIiIiUuRUlBIRERERERERkSKnNaWukdVq5fjx4/j5+WEwGFwdjoiIiBQRm81GUlISERERGI36fu9KNF4SEREpm/I6XlJR6hodP36cypUruzoMERERcZEjR45QqVIlV4dRrGm8JCIiUrZdbbykotQ18vPzA+wJ9vf3L9C+zWYzixYtokOHDri7uxdo3yWNcmGnPGRTLrIpF3bKQzblIlth5iIxMZHKlSs7xgJyeRovFQ3lwk55yKZcZFMu7JSHbMpFtuIwXlJR6hplTUH39/cvlEGWj48P/v7++kuiXADKw6WUi2zKhZ3ykE25yFYUudDtaFen8VLRUC7slIdsykU25cJOecimXGQrDuMlLYQgIiIiIiIiIiJFTkUpERERkVLgk08+ISoqCi8vL6Kjo1m3bt0Vj58wYQK1a9fG29ubypUrM2TIENLS0q6rTxEREZH8UFFKREREpISbOXMmMTExjBw5ko0bN9KwYUM6duzIyZMncz1++vTpvPLKK4wcOZIdO3YwadIkZs6cyauvvnrNfYqIiIjkl9aUKmQWiwWz2Zyvc8xmM25ubqSlpWGxWAopspKhOOXC3d0dk8nk0hhERERyM378eAYMGEC/fv0AmDhxIvPmzWPy5Mm88sorOY5ftWoVLVu25NFHHwUgKiqKHj16sHbt2mvu83povHR9ilMuNF4SEZH8UFGqkNhsNuLi4khISLimc8PCwjhy5EiZX0S1uOUiMDCQsLCwYhGLiIgIQEZGBhs2bGDYsGGONqPRSLt27Vi9enWu59x66618++23rFu3jubNm7N//37mz59Pr169rrnPa6HxUsEobrnQeElERPJKRalCkjXACgkJwcfHJ1//KFutVi5cuEC5cuUwGsv2HZbFJRc2m42UlBTHLQvh4eEui0VERORSp0+fxmKxEBoa6tQeGhrKzp07cz3n0Ucf5fTp07Rq1QqbzUZmZiZPP/204/a9a+kTID09nfT0dMd+YmIiYJ/Jk9tMqPj4eBITEwkODs73eMlms5GcnIyvr2+ZL34Ul1xkjZdOnTqV6+ensGV9xvI76640Ui6yKRd2ykM25SJbYeYir32qKFUILBaLoyBVsWLFfJ9vtVrJyMjAy8tLRalilAtvb28ATp48SUhIiKami4hIibV8+XLefvttPv30U6Kjo9m7dy+DBw/mjTfeYPjw4dfc79ixYxk9enSO9kWLFuHj4+PUZjAYCA8PJywsDHd392saEHt4eOiXiouKSy7c3d3x8/PjxIkTbNy4EZvNVuQxxMbGFvl7FlfKRTblwk55yKZcZCuMXKSkpOTpOBWlCkHWgODfgy8p+bL+m5rNZhWlRESkWAgKCsJkMhEfH+/UHh8fT1hYWK7nDB8+nF69evHEE08AUL9+fZKTk3nyySd57bXXrqlPgGHDhhETE+PYT0xMpHLlynTo0AF/f3+nY9PT0zl8+DAVKlRwfPGTHzabjaSkJPz8/DRTqpjlwt3dnaSkJO688048PT2L7H3NZjOxsbG0b98ed3f3Invf4ki5yKZc2CkP2ZSLbIWZi6zZ0lejolQhKg6DAilY+m8qIiLFjYeHB02aNGHJkiV07twZsM80XrJkCYMGDcr1nJSUlBwzkLO+bLHZbNfUJ4Cnp2euRQh3d/ccg12LxYLBYMBkMl3TbGir1QrY/2129WxqVytuuTCZTBgMBtzc3FzyC19un7eySrnIplzYKQ/ZlItshZGLvPanopSIiIhICRcTE0OfPn1o2rQpzZs3Z8KECSQnJzuenNe7d28iIyMZO3YsAJ06dWL8+PHcfPPNjtv3hg8fTqdOnRzFqav1KSIiInK9VJSSQhUVFcULL7zACy+84OpQRERESq1u3bpx6tQpRowYQVxcHI0aNWLBggWOhaYPHz7sNIPm9ddfx2Aw8Prrr3Ps2DGCg4Pp1KkTb731Vp77lIKj8ZKIiJRVKkoJcPXb0kaOHMmoUaPy3e/69evx9fW9xqhEREQkrwYNGnTZW+uWL1/utO/m5sbIkSMZOXLkNfdZFmm8JCIiUrBUlBIATpw44fh55syZjBgxgl27djnaypUr5/jZZrNhsVhwc7v6xyc4OLhgAxURERFxEY2XRERECpbrV0KUYiEsLMyxBQQEYDAYHPs7d+7Ez8+P3377jSZNmuDp6cnKlSvZt28fDzzwAKGhoZQrV45mzZqxePFip36joqKYMGGCY99gMPDll1/SpUsXfHx8qFmzJj///HMRX62IiIhI/mm8JCIiUrCKRVHqk08+ISoqCi8vL6Kjo1m3bt1lj23Tpg0GgyHHdu+99wL2RxoOHTqU+vXr4+vrS0REBL179+b48eNO/URFReXo45133imU67PZbKRkZOZrS82w5Puc3DabzVZg1/HKK6/wzjvvsGPHDho0aMCFCxe45557WLJkCX///Td33XUXnTp14vDhw1fsZ/To0TzyyCNs2bKFe+65h8cee4yzZ88WWJwiIlI2Waw24s6nsfHwOX7bFsehC66OSPJD4yVnGi+JiBSSs/sIStoOqQmujkQoBrfvzZw5k5iYGCZOnEh0dDQTJkygY8eO7Nq1i5CQkBzHz5kzh4yMDMf+mTNnaNiwIQ8//DBgf8Txxo0bGT58OA0bNuTcuXMMHjyY+++/n7/++suprzFjxjBgwADHvp+fX6FcY6rZQr0RCwul76vZPqYjPh4F8595zJgxtG/f3rFfoUIFGjZs6Nh/4403+PHHH/n555+vuP5E37596dGjBwBvv/02H374IevWreOuu+4qkDhFRKT0sVptnE5O50RCGifOp3I8IY24xDSOJ6Ry4nwaJxJSiU9Kx2LNLi60DjPyjAtjlvzReMmZxksiIoXg0GrcvulCy8xUGP8OlI+C8EYQ0QjCG9p/9qng2hjLGJcXpcaPH8+AAQMcjxeeOHEi8+bNY/Lkybzyyis5jq9QwfkDMmPGDHx8fBxFqYCAAGJjY52O+fjjj2nevDmHDx+mSpUqjnY/Pz/CwsIK+pJKraZNmzrtX7hwgVGjRjFv3jxOnDhBZmYmqampV/3mr0GDBo6ffX198ff35+TJk4USs4iIFH82m42zyRmcOG8vMtmLTfbi04mENE4kphJ3Pg2z5eqzWUxGA2H+XoT6e1LBcKYIohdxpvGSiEgxdXwTTH8EQ2YqGSYfPCwpcO6gfds+N/u4wCqXFKoaQcTNKlQVIpcWpTIyMtiwYQPDhg1ztBmNRtq1a8fq1avz1MekSZPo3r37FZ9Ycv78eQwGA4GBgU7t77zzDm+88QZVqlTh0UcfZciQIZddjDI9PZ309HTHfmJiImC/XdBsNjsdazabsdlsWK1WrFYrniYD20a1J69sNhsXki5Qzq/cVZ/ycjWeJgNWqzVf52Qd/+8/vb29nfp68cUXWbx4MePGjaNGjRp4e3vzyCOPkJ6e7nRcVi6ymEwmp32DwUBmZmaucWZNp/93H65itVqx2WyYzWZMJlORvW/WZ+zfn7WySLnIplzYKQ/ZimMubDYb51MziUtMs89oOp9G3MU/TySmEXc+nbjENNIzr/7/eKMBgv08CfP3Ijwgewvz9yTs4s/B5TwxGQ2YzWZiY2MLJRfFKb+libe7ie1jOub5eKvVSlJiEn7+fhiN17cihbd7wf2b/u8x6UsvvURsbCzvv/++Y7z00EMPOc38z427u7vTvsGQ/zGdiIhcdGo3fPsgpCdirXwLiyr0p2PbNrif+gdObIYTm+xFq3MHIOGwfdtxyVp+AVUg4uJMqqyClW+QSy6ltHFpUer06dNYLBZCQ0Od2kNDQ9m5c+dVz1+3bh3btm1j0qRJlz0mLS2NoUOH0qNHD/z9/R3tzz//PI0bN6ZChQqsWrWKYcOGceLECcaPH59rP2PHjmX06NE52hctWoSPj49Tm5ubG2FhYVy4cOGqA47L8fYwYUlPvaZzL5WUlv9z0tLSsNlsjsJbSkqKva+kJKdB3x9//EH37t1p27YtYP8m8MCBA7Ro0cJxrtVqJS0tzbEPkJqa6rRvs9lyHJPjOpKS8n8hhSAjI4PU1FRWrFhBZmZmkb//v2cBlmXKRTblwk55yFaUuUjLhHMZkJBucPyZkIHTzxnWvH3B4uduI9ADyns6/xnoYSPQEwLcwWTMBJLtJ9iABLAlwAns278VRi6y/l2UgmUwGPJ1C53VaiXTw4SPh9t1F6UK059//knfvn3p0qULYB8vHTx40LVBiYiUJQmH4ZvOkHIGwhtieWQ6lqUrwbs8VL/DvmVJTXAuUp3YBGf3w/nD9m3HL9nH+le6ZDbVxT/L6Wmq+eXy2/eux6RJk6hfvz7NmzfP9XWz2cwjjzyCzWbjs88+c3otJibG8XODBg3w8PDgqaeeYuzYsXh6euboa9iwYU7nJCYmUrlyZTp06OBU7AJ7UefIkSOUK1cOLy+vfF+XzWYjKSkJPz+/654pdS28vLwwGAyO68oquvn5+Tlda+3atZk/fz5du3bFYDAwYsQIbDYbHh4ejuOMRiNeXl5O53l7ezvtGwyGHMdkcXUu/i0tLQ1vb29uu+22a/pve62yvvFv3759jm9OyxrlIptyYac8ZCvoXKRkZHLifHr2DKfES2Y5XZzplJxuyVNf5X3c/zW7yevi7CZPwgO8CPHzwtOt4AoLhfm5uNKXKCL/VrNmTebMmUOnTp0wGAwMHz5cM55ERIpKUjx8/QAkHoOg2tDzR/DI+Xung3cg3HC7fcuSmgBxW+zFqqxC1Zm9kHjUvu38NftY/8iLs6kaZheq/Jwn4YgzlxalgoKCMJlMxMfHO7XHx8dfda2n5ORkZsyYwZgxY3J9PasgdejQIZYuXZprweNS0dHRZGZmcvDgQWrXrp3jdU9Pz1yLVe7u7jkGuxaLBYPBgNFovKZv7rIGKll9FLWs98ztz0vj+e9//8vjjz9Oq1atCAoKYujQoSQlJeWI+9/7ueXlcrlydS7+zWg0YjAYcv3vXhRc9b7FkXKRTbmwUx6y5SUXaWaLY4Fwe5EpleNO+2mcT83bbWoB3vaCU0SgN2EBXkQEeBEe4E14oBcRAfY2rwK8PSo/CuNzoc+Z5Mf48eN5/PHHufXWWx3jJRU2RUSKQOo5+KaLfaZTYBXoPRd8K0J+b8P3DoRqt9m3LGmJ9kJVVpHq+KaLhapj9m3XvOxj/cL/tUZVI/DT2tZZXFqU8vDwoEmTJixZsoTOnTsD9iLEkiVLrvg0EoBZs2aRnp5Oz549c7yWVZDas2cPy5Yto2LFileNZdOmTRiNxlyf+FfW9O3bl759+zr227Rpk+ujkqOioli6dKlT28CBA532/z09Pbd+EhISrjlWERHJKT3TyonEFPtC4efTOJ61YPj57ILT2eS83V7u5+lGeKAXYQHeuRabIgK9CuypZSIlicZLIiLFWPoFmPYwnPwHyoVCr7ngH1Fw/Xv5Q1Qr++Z4zySI2+pcqDq9G5JO2Lfdv2UfWy40l0JVOBSDu4OKmstHkTExMfTp04emTZvSvHlzJkyYQHJysuNpfL179yYyMpKxY8c6nTdp0iQ6d+6co+BkNpt56KGH2LhxI7/++isWi4W4uDjA/uQ+Dw8PVq9ezdq1a7njjjvw8/Nj9erVDBkyhJ49e1K+fPmiuXAREZF8slptnE3JID4xjZOJ6cQnphGfmE58UhonL95ad+iUicGrF+epP293k6PAFB7gRXigvfAUdnHWU3iAF35emhUkIiIiJYg5DWY8CkfXg1cg9PoRKlYv/Pf19IOqt9q3LOkX7IUqxxpVm+H0LrgQD3sW2rcsviE516jyjyj1hSqXF6W6devGqVOnGDFiBHFxcTRq1IgFCxY4Fj8/fPhwjtu2du3axcqVK1m0aFGO/o4dO8bPP9tXyW/UqJHTa8uWLaNNmzZ4enoyY8YMRo0aRXp6OtWqVWPIkCFOa0aJiIgUFZvNRkKKmfiki0WmRHuRKevn+KR0TiWmcTIpnUxrzhkUzuwDF08348X1m3LObAoP8CYiwBt/b7disV6fiIiISIGwZMIP/eHA7+DuCz1/gNAbXRePZzmo2sK+ZclIhrhtzoupn9oJySdhzyL7lsU32L4+1aWFqoBKpapQ5fKiFMCgQYMue7ve8uXLc7TVrl0712nNYJ8ifbnXsjRu3Jg1a9bkO04REZH8sNlsJKZl/qvAlD3L6WRSumPWU4YlbwsfGwxQ0deTUH9PQv29CPX3JMTPi1B/Lyr6urF3y3oeuqcdIQE+KjiJiIhI2WG1wk8D7QuPmzzh0RlQqamro8rJwxeqRNu3LBkpEL/NeTH1kzsg+RTsXWzfsvhUdC5ShTe0r5lVQsd9xaIoJSIiUtJcSM+8ePucvah00mmWU/rFWU9ppJnz/pStCr4ehPhlF5tC/b0I8fci1M/T/qe/J0HlPHE35f7gB7PZTNo+ez8qSImIiEiZYbPBgqGwZQYYTPDwVOeFyYs7Dx+o3Ny+ZTGnQvw/cPzvi7OqNsOpHZByBvYtsW9ZvCs4P/EvohEEVi0RhSoVpURERC6RmmFxmsWU4+eLhafkDEue+wzwdnfMaArJmuHkd0nRyd+TYD9PPN1c84Q6ERERkRJt2Vuw7nPAAF0mQp17XB3R9XP3ts/0unS2lznNvnj7pYupn9wOqWdh/zL7lsW7fPatf1kFq/LVil2hSkUpEREpE9IzLTlmNMUnpttvrbukLSktM899lvN0sxeZ/P41s8lReLIXobzcVWwSERERKRR/fggr3rP/fM970OAR18ZTmNy9ILKJfcuSmW6fUXXpGlXx2yH1HOxfbt+yeAU4r1EVfJN9lpkLqSglIiIllsVqIyktk7PpsOlIAmdSLBeLTjlvpUtIMee5Xy93I2GOAtOls5qy1m+y305XzlP/jIqIiIi4zIapEDvc/nPbkdB8gEvDcQk3T4hsbN+yZKbb16RyKlT9A2nn4cAK+wa4A619qsO997ogcDuNpkVEpNCZLVZSMiykZlhIzsgkJd1CSkYmKRkWUi62pV76Z7qFVHMmyemWi8dkOv60v2YhOT2T9Mys9ZrcYOO6q8bh4WZ0WrMpa4Fwp0XD/b3w89RT6URERESKtW0/wC8v2H9u+QK0jnFlNMWLm6d9JlREI8iaVJWZYV+TKqtIdWIztrhtJHuG4eeyQFWUEhGRi2w2GxkW68XikIXUjKsXhZxf+9fP6ZmkmC2kpFvy/GS5a2U02Aj19/5XgcnrkgKUvT3A213FJhEREZGSbvcimPMkYIMm/aDdKFdHVPy5eVy8da8h0AeAzLQUts77kTBXhuXC95ZSpk2bNjRq1IgJEyYAEBUVxQsvvMALL7xw2XMMBgM//vgjnTt3vq73Lqh+REqSpDQzZ9Jgd3wSGVZDjsJQcnqmc4Hp0qJRuoUUc9aMpewZSpnWwr2n3GQ04ONhwtfDDR8PEz6eJnzc3ex/epjwyWp3/Gn/2dfThLe7CV9PN7wvPd/DhLvBxtLYhdx77224u7sXavwiItdL4yURket08E/4vhdYM6H+w3DvB8Vu8e4Sw+SO2a2cS0NQUUoA6NSpE2azmQULFuR47Y8//uC2225j8+bNNGjQIM99rl+/Hl9f34IMk1GjRjF37lw2bdrk1H7ixAnKly9foO8lUtykZlhYd/AsK/ec4o89p9kZlwS4wd+rC/y9PExGfDztxR97EcjkKAY5/emZs4B06Z++nia8Pdwc53uYjAU+U8lsNmscIiJFQuMlEREXO7YRpneDzDSodRd0/gyMeqBMSaailADQv39/unbtytGjR6lUqZLTa1OmTKFp06b5GmABBAcHF2SIVxQW5soJhyKFw2q1sf1EIn/sOc3KvadYf/AcGZnOt8G5G234eXvYZxNdUijydne7WDC6/Owj+ywl59lH3lmzj0xGF121iEjxpfGSiIgLndwJ33aFjCSIag0PTwWTZsmXdPqtQwC47777CA4OZurUqU7tFy5cYNasWXTu3JkePXoQGRmJj48P9evX57vvvrtin1FRUY6p6QB79uzhtttuw8vLi3r16hEbG5vjnKFDh1KrVi18fHy44YYbGDFiBGaz/YlZU6dOZfTo0WzevBmDwYDBYHDEazAYmDt3rqOfrVu3cuedd+Lt7U3FihV58sknuXDhguP1vn370rlzZ95//33Cw8OpWLEiAwcOdLyXiKscS0hl5vrDDJq+kaZvLea+j1by7oKd/Ln3DBmZViICvHikaSU+7HEza15pw/vRFta+cgcrh97JwiG3MXdgS6Y9cQtf9mnK/7rfzNgHGzD8vnq82KE2z7SpTp9bo3i4aWXubRDOHbVDiL6hIjdFBlA9uBxhAV4EeLurICUichkaL2m8JCIucu4gfNMZUs9CRGPo8R24e7s6KikAmilVFGw2MKfk/Xir1X58hgmM1/nLobtPnu6vdXNzo3fv3kydOpXXXnvNcXvNrFmzsFgs9OzZk1mzZjF06FD8/f2ZN28evXr1onr16jRv3jwPl2TlwQcfJDQ0lLVr13L+/Plc107w8/Nj6tSpREREsHXrVgYMGIC7uzvDhw+nW7dubNu2jQULFrB48WIAAgICcvSRnJxMx44dadGiBevXr+fkyZM88cQTDBo0yGkQuWzZMsLDw1m2bBl79+6lW7duNGrUiAEDyuBjRMVlktLMrNl/8Za8vafZfyrZ6XVfDxMtqlekdc1gWtUM4oYgX8ffT/1SICKlisZLGi+JiOQmKQ6+fgCSTkBwXej5A3i68nlxUpBUlCoK5hR4OyLPhxuBwIJ671ePg0fe1il4/PHHee+99/j9999p06YNYJ+K3rVrV6pWrcpLL73kOPa5555j4cKFfP/993kaZC1evJidO3eycOFCIiLsuXj77be5++67nY57/fXXHT9HRUXx4osvMn36dIYPH463tzflypXDzc3titPPp0+fTlpaGl9//bVjjYaPP/6YTp068e677xIaGgpA+fLl+fjjjzGZTNSpU4d7772XJUuWaJAlhSrTYmXz0QT7LXl7TvP3kQQslywubjIaaFgpgFY1g2ldM4hGlQM1c0lEygaNlzReEhH5t5Sz8HVn+0yp8lHQ60fwqeDioKQgqSglDnXq1OHWW29l8uTJtGnThr179/LHH38wZswYLBYLb7/9Nt9//z3Hjh0jIyOD9PR0fHx88tT3jh07qFy5smOABdCiRYscx82cOZMPP/yQffv2ceHCBTIzM/Hzy18VfMeOHTRs2NBp0dCWLVtitVrZtWuXY5B14403YjJlL4oXHh7O1q1b8/VeIldjs9k4eCbFsTj56n1nSErPdDomqqIPrWoG0bpmMC2qV8TfS/fGi4gUVxovabwkIkUkPQmmPQSndoBfOPT+CfzDXR2VFDAVpYqCu4/9G7g8slqtJCYl4e/nh7EgpqPnQ//+/Xnuuef45JNPmDJlCtWrV+f222/n3Xff5X//+x8TJkygfv36+Pr68sILL5CRkXF98V1i9erVPPbYY4wePZqOHTsSEBDAd999xwcffFBg73Gpfz863mAwYLVaL3O0SN6dS87gz332mVB/7DnNsYRUp9cDfdxpWT2IVjWDaFUjiMoV8vf3VESkVNJ4KU80XhKRMsGcCt/1gGMbwLsC9JprnyklpY6KUkXBYMjzlHDAvkaCu8V+zvUOsvLpkUceYfDgwUyfPp2vv/6aZ555BoPBwJ9//skDDzxAz549L4ZoZffu3dSrVy9P/datW5cjR45w4sQJwsPt1e01a9Y4HbNq1SqqVq3Ka6+95mg7dOiQ0zEeHh5YLJarvtfUqVNJTk52fPv3559/YjQaqV27dp7iFcmP9EwLGw6dc9ySt+34eWzZd+ThbjLQpGp5Wl+8Je/GiABMxquvXSIiUqZovKTxkogIgMUMs/rBwT/Aw8++hlRIHVdHJYVERSlxUq5cObp168awYcNITEykb9++ANSsWZPZs2ezatUqypcvz/jx44mPj8/zIKtdu3bUqlWLPn368N5775GYmOg0mMp6j8OHDzNjxgyaNWvGvHnznJ4QA/Z1Ew4cOMCmTZuoVKkSfn5+eHp6Oh3z2GOPMXLkSPr06cOoUaM4deoUzz33HL169XJMRRe5HjabjV3xSY6ZUOsOnCXV7Dz4rx3qZ58JVTOI6GoV8PHQ/25FREoLjZdERAqJ1Qpzn4Hdv4GbFzw6AyIbuzoqKURaPVdy6N+/P+fOnaNjx46ONQ1ef/11GjduTMeOHWnTpg1hYWF07tw5z30ajUZ+/PFHUlNTad68OU888QRvvfWW0zH3338/Q4YMYdCgQTRq1IhVq1Y5LeQJ0LVrV+666y7uuOMOgoODc33Mso+PDwsXLuTs2bM0a9aMhx56iLZt2/Lxxx/nPxkiF51MTOOHDUcZMnMTzd9ewl0T/uDNeTv4ffcpUs0Wgv086XJzJOMfaci6V9uycMhtDL+vHnfUDlFBSkSkFNJ4SUSkgNlsMP9F2DoLjG7wyNcQ1crVUUkh029KkkOLFi2wXXrvEVChQoUc38L92/Lly532Dx486LRfq1Yt/vjjD6e2f7/PuHHjGDdunGPfarXSr18/x76npyezZ8/O8d7/7qd+/fosXbr0srFe+qjjLBMmTLjs8VL2pGRksvbAWVZevCVvV3yS0+te7kaiq1Wk9cXZULVD/RyPBhcRkdJP4yURkQK2ZDT8NRkwQJf/g1odXR2RFAEVpUREAIvVxrZj51m59zR/7DnFxkMJZFiyF3I1GOCmiABHEapJ1fJ4upmu0KOIiIiIiOTJH+Nh5X/tP9/3X6j/kGvjkSKjopSIlFlHzqawcq99JtSf+06TkGJ2ej0y0NtRhGpZPYjyvh4uilREREREpJRaP8k+Swqg/Rho2u/Kx0upoqKUiJQZ51PNrN53hpV7T7Fyz2kOnklxet3P040W1bNuyQsmqqKPbskTERERESksW2bBvBftP7d+CVoOdm08UuRUlBKRUstssbLpSAJ/7DnNyj2n2Hz0PBZr9noaJqOBmysH0qpmEK1rBtOwUgBuJj3/QURERESk0O36DX58CrBBswFw5+tXPUVKHxWlRKTUsNls7DuVzMo9p1i59zRr9p/lQnqm0zE3BPvSuoZ9JtQtN1TAz8vdRdGKiIiIiJRRB1bA933AZoEG3eDucfZFXKXMUVGqEFmt1qsfJCWK/psWP2cupPPnvjP2QtSe0xw/n+b0enkfd1rWCHLckhcZ6O2iSEVEJDf6t7X00X9TEbmioxvgux5gSYfa98IDn4JRdyuUVSpKFQIPDw+MRiPHjx8nODgYDw+PfK1LY7VaycjIIC0tDWMZ/8tZXHJhs9nIyMjg1KlTGI1GPDy04LWrpJst7EowsG3hblbtP8s/xxOdXvdwM9IsqjytagTTumYQ9cL9MRr1rYuISHGj8VLBKS650HhJRK4qfjtM6woZF6Da7fDQZDCpLFGW6b9+ITAajVSrVo0TJ05w/PjxfJ9vs9lITU3F29u7zC+yXNxy4ePjQ5UqVcr84NcV0jMtTFtzmI+X7eFssgk46HitTpgfrS+uC9UsqgLeHiaXxSkiInmj8VLBKW650HhJRHJ1dj980xlSz0FkU+g+Hdy9XB2VuJiKUoXEw8ODKlWqkJmZicViyde5ZrOZFStWcNttt+HuXrbXuylOuTCZTLi5uRWLwV5ZkmmxMufvY/xv8R6OJaQC4O9uo+1NkdxeK4SWNYII9vN0cZQiInItNF4qGMUpFxoviUiuEo/D1w/AhXgIuREemwWe5VwdlRQDKkoVIoPBgLu7e74HByaTiczMTLy8vFw+sHA15aLsstlsLPwnjvcX7WbvyQsAhPl7MeiOG/CJ20Kn+27SZ0JEpBTQeOn6KRciUqwln4GvO0PCYShfDXr9CD4VXB2VFBMqSolIsfPn3tOMW7iLzUcSAAj0cefZNtXp3SIKE1bmz9/i2gBFREREROTq0hLh2wfh9C7wj4TeP4FfqKujkmJERSkRKTY2H0lg3MKd/Ln3DAA+HiaeaFWNJ267AX8v+ze/ZrOe6CMiIiIiUuxlpMB33eHEJvCpCL3mQvmqro5KihkVpUTE5faeTOL9hbtZ8E8cAO4mA49FV2XgHTW0XpSIiIiISEmTmQHf94ZDf4KnP/ScA8G1XB2VFEMqSomIyxxLSGVC7G5+2HgUqw2MBuhycyVeaFeTyhV8XB2eiIiIiIjkl9UCPz4Fe2PBzRsenQkRjVwdlRRTKkqJSJE7cyGdT5bt49s1h8iw2G/H61AvlJc61qZWqJ+LoxMRERERkWtis8GvQ+CfOWB0h27fQtVbXR2VFGMqSolIkUlKM/PFHweY9Md+kjPsj/5ucUNF/nNXbRpXKe/i6ERERERE5JrZbBA7HDZ+BQYjdP0CarZzdVRSzKkoJSKFLs1s4ds1h/hk2V7OpZgBqB8ZwMt31aZVjSAMBoOLIxQRERERkevyx/uw6iP7z50+hBu7uDYeKRFUlBKRQpNpsfLDxqNMWLyHE+fTALgh2Jf/dKjNXTeFqRglIiIiIlIarP0clr5p/7nj29C4l2vjkRJDRSkRKXA2m43ftsXx/qJd7D+VDEB4gBdD2tXiwcaRuJmMLo5QREREREQKxKbv4Lf/2H++fSi0GOjaeKREUVFKRAqMzWbjjz2neW/hLrYeOw9ABV8Pnm1TnZ63VMXL3eTiCEVEREREpMDs+BV+uliEin4G2gxzbTxS4qgoJSIF4u/D5xi3YBer958BwNfDxBOtb+CJ1tXw83J3cXQiIiIiIlKg9i2D2f3AZoFGj9lv29PyHJJPKkqJyHXZHZ/E+wt3sWh7PAAeJiM9b6nKwDuqU7Gcp4ujExERkTLBasX412Ru2/UZRp9NEP0k+Ie7OiqR0uvIOpjxGFgyoG4n+8LmRi3RIfmnopSIXJMjZ1P47+Ld/Pj3MWw2MBrgoSaVGNyuFpGB3q4OT0RERMqK+H/gl8GYjq6nPMCf42H1xSd/RT8DlZq4OkKR0iVuG0x7CMzJUP1O6DoJTCotyLXRJ0dE8uVUUjqfLNvLtLWHMFtsANx9UxgvdqhFjRA/F0cnIiIiZYY5FX4fB6s+BGsmNo9y7C5/JzXd4zEeXQtbZ9m3Ss0g+mmo9wCYtKSAyHU5sw++6QJp56FyNHT7Ftx0d4RcOxWlRCRPEtPMfLFiP5NWHiAlwwJAqxpB/KdjbRpWDnRtcCIiIlK27FsGvw6Bcwfs+3XuI7P9WHau/Jsb7rkH46ltsGYibPsBjq63b4teh2b9oUk/8A1ybfwiJdH5o/D1A5B8EsLqw6Pfg4evq6OSEq5Y3PT5ySefEBUVhZeXF9HR0axbt+6yx7Zp0waDwZBju/feex3H2Gw2RowYQXh4ON7e3rRr1449e/Y49XP27Fkee+wx/P39CQwMpH///ly4cKHQrlGkpEozW/i/3/dx27hlfLR0LykZFhpWDmT6E9F8+0S0ClIiIiJSdJJPw5wn4ZvO9oKUXwR0nw7dpzmvIRVxMzz4fzDkH/vTwHxDIOkELH0TxtezPy0sbpvLLkOkxLlwCr7uDOePQMUa0PNH8A50dVRSCri8KDVz5kxiYmIYOXIkGzdupGHDhnTs2JGTJ0/mevycOXM4ceKEY9u2bRsmk4mHH37Yccy4ceP48MMPmThxImvXrsXX15eOHTuSlpbmOOaxxx7jn3/+ITY2ll9//ZUVK1bw5JNPFvr1ipQUZouV6WsP0+a95Yz9bScJKWZqhJRjYs8mzH32Vm6toW8YRUREpIjYbPD3NPi4KWyZCRjst+QNWgd17r38eX6h0OYVGLINuvwfhDcCSzr8/S1MbAlT77M/0t5qKaorESl5UhPg2y5wZg/4V4Jec6FcsKujklLC5bfvjR8/ngEDBtCvXz8AJk6cyLx585g8eTKvvPJKjuMrVKjgtD9jxgx8fHwcRSmbzcaECRN4/fXXeeCBBwD4+uuvCQ0NZe7cuXTv3p0dO3awYMEC1q9fT9OmTQH46KOPuOeee3j//feJiIgozEsWKdasVhvztp5gfOxuDpxOBiAy0JsX2tXkwcaVMBn1mFcREREpQqf3wq8vwME/7Puh9aHT//K3gLmbJzTsDg26wZG1sOYz2PGLvc+Df0BgVWj+JDTuBV4BhXIZIiVSRgpM7wZxW8E3GHr/BIGVXR2VlCIuLUplZGSwYcMGhg0b5mgzGo20a9eO1atX56mPSZMm0b17d3x97feyHjhwgLi4ONq1a+c4JiAggOjoaFavXk337t1ZvXo1gYGBjoIUQLt27TAajaxdu5YuXbrkeJ/09HTS09Md+4mJiQCYzWbMZnP+Lvwqsvor6H5LIuXCrijyYLPZ+GPvGT6I3cP2E0kAVPB159nbb6B7s8p4uhmxWjJd/kWiPhPZlAs75SGbcpGtMHOh/IoUkcwM+PN/sOI9++wmN2/7rKcWA699wXKDAarcYt8SjsD6L2HDVEg4BIteg2VvQ6NH7bOwgmoU6OWIlDiZGTCzJxxZA54B0OtH/b2QAufSotTp06exWCyEhoY6tYeGhrJz586rnr9u3Tq2bdvGpEmTHG1xcXGOPv7dZ9ZrcXFxhISEOL3u5uZGhQoVHMf829ixYxk9enSO9kWLFuHj43PVWK9FbGxsofRbEikXdoWVhwNJ8MshE/uS7LOgPE022kZYuT08E69z/7Bk0T+F8r7XQ5+JbMqFnfKQTbnIVhi5SElJKfA+ReRfDq+BXwbDqYu/E1RvC/eNh/JRBfcegZWh/Wi4faj9lsC1E+3vt/4L+1ajPdzytP29DZopLmWMJRPmPAH7loC7Dzw2y764uUgBc/nte9dj0qRJ1K9fn+bNmxf6ew0bNoyYmBjHfmJiIpUrV6ZDhw74+/sX6HuZzWZiY2Np37497u5l+7G1yoVdYeVhV1wS4xfvZemuUwB4uBnpFV2ZJ1tXo4KvR4G9T0HSZyKbcmGnPGRTLrIVZi6yZkuLSCFITYDFI+2zl8B+u9Bd78BNXQuvMOThA037QZO+sH+5vTi1eyHsjbVvQbUg+ilo2ENPGpOywWq1F4W3/wQmD/uDBKpEuzoqKaVcWpQKCgrCZDIRHx/v1B4fH09YWNgVz01OTmbGjBmMGTPGqT3rvPj4eMLDs5/AER8fT6NGjRzH/Hsh9czMTM6ePXvZ9/X09MTT0zNHu7u7e6EN/Auz75JGubArqDwcPpPC+Nhd/LT5ODYbmIwGHm5Siefb1iQi0LsAIi18+kxkUy7slIdsykW2wsiFcitSCGw2+OdHWPAKXLj4u8HNvaD9GPCpcOVzC4rBANXvsG9n9sG6z+2Lq5/eDfNehCVjoHFv+9pTgVWKJiaRomaz2W9l3fQtGIzQdRJUv9PVUUkp5tKn73l4eNCkSROWLFniaLNarSxZsoQWLVpc8dxZs2aRnp5Oz549ndqrVatGWFiYU5+JiYmsXbvW0WeLFi1ISEhgw4YNjmOWLl2K1WolOloVYCm9TiamMXzuNu78YDlzN9kLUvc2CCd2yG2807VBiSlIiYiISCmScBimPwKz+9kLUhVrQt/58MDHRVeQ+reK1eHudyFmu32mVvlqkHYeVn0E/2toX2fn4J/2X+BFSpPfx8GaT+0/P/AJ1LvftfFIqefy2/diYmLo06cPTZs2pXnz5kyYMIHk5GTH0/h69+5NZGQkY8eOdTpv0qRJdO7cmYoVKzq1GwwGXnjhBd58801q1qxJtWrVGD58OBEREXTu3BmAunXrctdddzFgwAAmTpyI2Wxm0KBBdO/eXU/ek1LpfKqZ//t9H1P+PEiq2b5S+W21gnm5Y21uitQTZkRERMQFLJn2W+WWvQXmFPttQq1fhFZD7E/LKw68/OGWZ+yzo/Yssj+178Dv9if37fjFvsZO9DP22wvdvVwdrcj1WfMZLH/b/vNd79oX/RcpZC6dKQXQrVs33n//fUaMGEGjRo3YtGkTCxYscCxUfvjwYU6cOOF0zq5du1i5ciX9+/fPtc+XX36Z5557jieffJJmzZpx4cIFFixYgJdX9j8U06ZNo06dOrRt25Z77rmHVq1a8fnnnxfehYq4QGqGhc+W76P1u0v5dPk+Us0Wbq4SyHcDbuHrx5urICUiUop88sknREVF4eXlRXR0NOvWrbvssW3atMFgMOTY7r33Xscxffv2zfH6XXfdVRSXImXB8b/hyzvttwmZU6BqS3j6T/vT9YpLQepSRhPUvhv6/AzPrIbGfcDNC+K2wk/Pwn9vhKVvQeKJq/clUhz9/a399lmAO16zL/IvUgRcPlMKYNCgQQwaNCjX15YvX56jrXbt2tiuMFXWYDAwZsyYHOtNXapChQpMnz4937GKlARmi5WZ64/w4ZI9nExKB6B2qB8vdaxNu7ohGPQEGRGRUmXmzJnExMQwceJEoqOjmTBhAh07dmTXrl05njgMMGfOHDIyMhz7Z86coWHDhjz88MNOx911111MmTLFsZ/b+poi+ZJ+wT4zau1EsFnBKxA6vAGNeoLR5d+X501oPbj/Q2g3CjZ+Beu+gMRjsGIcrBwPN3axz56q1MTVkYrkzfaf4Ofn7D+3GAS3/ce18UiZUiyKUiJSMKxWG79sOc742N0cOmN/ZHml8t7EtK/FA40iMRlVjBIRKY3Gjx/PgAEDHMsfTJw4kXnz5jF58mReeeWVHMdXqOC8Ts+MGTPw8fHJUZTy9PS86sNnRPJs1wKY/xKcP2Lfv+khuGsslMtZOC0RfCrYbzVs8Rzs/AXWTIQja2DrLPtWqbn9qX31HgCTHpAgxdTexTC7v71IfHMv6PBm4T3pUiQXKkqJlAI2m41lu07y3sLd7Dhhf1R5UDlPnruzBj2aV8HDrYR88ygiIvmWkZHBhg0bGDZsmKPNaDTSrl07Vq9enac+Jk2aRPfu3fH1dX7c/fLlywkJCaF8+fLceeedvPnmmznW8xS5qqQ4+O1l+2wMgMCqcO94qNnOtXEVFJObfXbUjV3styWumQjbfoCj6+zbouHQrD806Qe++vsjxcjhNTCjJ1jNUK8zdPqfClJS5FSUEinh1h04y3sLd7L+4DkA/LzcePr26vRrGYWPh/6Ki4iUdqdPn8ZisTjW48wSGhrKzp07r3r+unXr2LZtG5MmTXJqv+uuu3jwwQepVq0a+/bt49VXX+Xuu+9m9erVmEymXPtKT08nPT3dsZ+YaP+ixGw2Yzab83tpV5TVX0H3WxIV21zYrBg3foVx2RgM6UnYDCastzyLtfV/wN0HSuNnIvgm6PQx3DEc48apGDdOxZB0HJa+gW3Fe9hu7Iql+VMQUq9QwygWuSgmlAu7HHmI24LbtIcxZKZivaEtlvs/BYvVvpVy+kxkK8xc5LVP/cYqUkL9c/w87y/cxbJdpwDwdDPSt2UUz9xenUAfDxdHJyIiJcWkSZOoX78+zZs3d2rv3r274+f69evToEEDqlevzvLly2nbtm2ufY0dO5bRo0fnaF+0aBE+Pj4FG/hFsbGxhdJvSVSccuGXepSGR6ZQMXkPAOd8bmBT5X4kplWF2OWF+t7FJw/1MdZ4h8hza7nh1CICUw9i2DwN4+ZpnCpXl/3BHYgLuBkMhTejvfjkwvWUC7vY2FjKpZ2g1Z43MWQmcca3Fqv9umNZuNjVoRU5fSayFUYuUlJS8nScilIiJczB08mMj93Nz5uPA2AyGujWrDLP31mTsAA9ilhEpKwJCgrCZDIRHx/v1B4fH3/V9aCSk5OZMWPGFR8Ok+WGG24gKCiIvXv3XrYoNWzYMGJiYhz7iYmJVK5cmQ4dOuDv75+Hq8k7s9lMbGws7du3x929bK/XU6xyYU7FuHI8xs0fYbBmYvPwxdrmdco1eZxWxtxn2BXYWxenPDh5AGxvkXl0LcZ1n2PY9SvBF3YQfGEHtsAorE37Y234GHgV3N+R4puLoqdc2GXloUN0XbymD8OQmYQtrAH+j82lYwF+9koCfSayFWYusmZLX42KUiIlxPkMGP7zdmZvOEam1f70yfsbRhDTvhZRQb5XOVtEREorDw8PmjRpwpIlS+jcuTMAVquVJUuWXPbpxllmzZpFeno6PXv2vOr7HD16lDNnzhAeHn7ZYzw9PXN9Qp+7u3uhDfwLs++SxuW52L8cfh0CZ/fb9+vch+HucZgCIinccpQzl+fhcm5obd8SjsD6L2DDVxgSDmJaPBzTineh0aPQ/CkIqlFgb1lsc+ECygV4ms/j9X03DInHIKgWhl4/4l6G1znTZyJbYeQir/2pKCVSzNlsNib9eZAP/jZhth4F4I7awbzUsTY3RgS4ODoRESkOYmJi6NOnD02bNqV58+ZMmDCB5ORkx9P4evfuTWRkJGPHjnU6b9KkSXTu3DnH4uUXLlxg9OjRdO3albCwMPbt28fLL79MjRo16NixY5Fdl5QQyWdg0Wuw+Tv7vl843PMe1O3k2riKq8DK0H4M3D4UtsyEtf8Hp3bCus/tW80OEP00VL9Ti05LwchIgbjttNj3HobUwxBQBXrNBd8gV0cmoqKUSHF2IT2Tl2dvZv7WOMBAkyqBDL27Ls2rVbjquSIiUnZ069aNU6dOMWLECOLi4mjUqBELFixwLH5++PBhjEbndWt27drFypUrWbRoUY7+TCYTW7Zs4auvviIhIYGIiAg6dOjAG2+8ketMKCmjbDZ7IWrha5B6FjBA8wFw5/ACvRWt1PLwhaaP25/Kt3+Z/al9exbCnkX2Lag2RD8FDbvbjxW5mtRzcGo3nN4Fp3bB6d32gmfCEdyxEQDYfEMw9J4LAZGujlYEUFFKpNjad+oCT32zgb0nL+BuMtC5SiZv9WuGh4cWMRcRkZwGDRp02dv1li9fnqOtdu3a2Gy2XI/39vZm4cKFBRmelDZn9sGvL8CBFfb9kBvtj5Ov3MylYZVIBoN9VlT1O+15Xfc5/P2tvbAwLwaWjIbGfewFv8Aqro5WXM1mg6S4i4WnSwpQp3ZB8snLn+ZdgVNu4ZTvPhH3itWLMGCRK1NRSqQYWvhPHC9+v5kL6ZmE+nvyUbeGnNi2CoOmcIuIiIgrZWbAqv/B7++BJR3cvKDNK9BiEJi0Nst1q1gd7n4X7ngNNk2DtRPh3EFY9SGs/hjq3Ge/ta/qrbq1r7SzWiDh0CWFp4uznk7vgfTzlz/PPxKCakFwHQiuZZ9xF1ybTI8AVs+fzz0hdYvuGkTyQEUpkWLEYrUxPnYXnyzbB0DzahX4+NGbKe9l4sQ2FwcnIiIiZdvhtfDLYDi1w75/wx1w33iocINr4yqNvPzhlmeg+ZP2W/nWfAYHfocdP9u3sAb24tRNXcFdT18u0TLT7TPk/j3z6cxeyEzL/RyDEcpXg2B7wcleeKplL0Z5+uV+jtlceNcgch1UlBIpJs4lZ/D8jL/5Y89pAB5vWY1h99TB3WTErH9ERERExFVSE+y3kP012b7vEwR3jYX6D2u2TmEzmqD23fYtfrt95tSWmRC3BX56FhaPtK9J1aw/+IW5Olq5kvSki2s8/Wvm07mDYLPkfo7JE4Jq5pz5VLE6uGl9PykdVJQSKQa2HTvP099u4Oi5VLzcjbzbtQEPNNLigyIiIuJCNhtsnwu/DYUL8fa2m3tC+zfARw9dKXKh9eD+D6HdKNgwFdZ/CYnHYMU4WPlfuLEL3PI0RDZxdaRlW/Lpi4uMX3rL3W77f6vL8fS/WHj618ynwKr2wqRIKaailIiLzd5wlNd+3Ep6ppWqFX2Y2LMJdcP1xBoRERFxoYQjMP8l2L3Avl+xBtw3Aaq1dmlYgr0g2DoGbn0Odvxinz11ZC1s/d6+VWqOodkADDYVMwqNzQbnj+a+2Hjq2cuf5xtysej0r5lPfmGadShllopSIi6SkWnljV+3882aQwDcUTuYCd1uJsBHi4SKiIiIi1gyYd3/wdK3wJwMRnd7AaRVjNYuKm5M7nDTg/bt2EZ7cWrbHDi6Drej67jX4I5xzyvgWQ48ytnXGvIol8d9X/Dwy37Nw7dsFk0smXDuQC4zn/bY/35cTmAVxwLjTjOfvMsXXewiJYSKUiIuEHc+jWenbWDj4QQMBhjctibP31kTo7EM/mMvIiIixcPxTfDL83Bis32/yq3QaYL9l2op3iIbw4OfQ/sx8NdkbH9NxpR8CpJP2rfrZvhXASsPhSzPcpffd/MqXkUuc6q90HR69yUFqF32Bcitl1nb1egGFapf8oS7izOfKtYED5+ijV+kBFNRSqSIrd1/hoHT/+b0hXT8vdyY0L0Rd9YJdXVYIiIiUlalX4DlY2HNp2CzgleAvbhxc28wGl0dneSHXxjc8SqZLV5g+c/TaHNrU9wtaZBxwb7QdsYF+3/v3PadXrvkGGz2LSPJvhUEgykPRa5/F7auUPTK66LfqQn/KjxdnPmUcPjidebC3efiYuMXZzsF17H/XKGafbaaiFwXFaVEiojNZmPKnwd5a/4OLFYbdcL8+L9eTaha0dfVoYmIiEhZtXshzHsRzh+x79/UFTqOBT99YVaimdxJ8QyB0JvA/ToKJzYbmFPyWMj6d9Hrgr2Idel+1i1vNgukn7dvBcHonnNmlocveJbD5ObNrQe24TbhpSvPGvMun114unTmk38lFWdFCpGKUiJFICUjk2FztvLTpuMAPNAogrEP1sfHQ38FRURExAWS4mHBUPjnR/t+QBW4bzzUbO/auKR4MRguzlDyBQqgUGm12gtTly1k5baffPkiV2bqxX7NkHrOvv2LEQi+tMEv4pLC0yUzn3yDitcthSJlhH4jFilkh84k89Q3G9gZl4TJaOC1e+rSr2UUBv2jJyIiIkXNaoWNUyF2lH2WisEELZ6FNsMuFh5ECpHRaL9Fz9OvYPqzZOacsfWvopYlLZHNe0/Q4M6HcQurC156yrVIcaKilEghWrbzJINn/E1iWiZB5Tz55NGbib6hoqvDEhERkbLo5A745QU4ssa+H3EzdPoQwhu4NCyRa2ZyA+9A+3YZVrOZI+fmUz+y8fXdyigihUJFKZFCYLXa+HDpHv63ZA82G9xcJZDPHmtCWIAepSwiIiJFzJwGf7wPKyfYb3PyKAd3vg7NnwSjydXRiYhIGaailEgBO59qJmbmJpbstC+k2OuWqgy/rx4eblogUURERIrYgRX22VFn99n3a98D97wHAZVcGpaIiAioKCVSoHbGJfLUNxs4dCYFDzcjb3W+iYebVnZ1WCIiIlLWpJyFRa/Dpmn2/XJh9mJU3U5azFlERIoNFaVECshPm47xyg9bSTVbiAz05v96NeGmyABXhyUiIiJlic0GW2bCwlch5QxggGb9oe0I8NK4REREihcVpUSuk9li5Z3fdjJp5QEAWtcM4sPuN1Pe18PFkYmIiEiZcnY/LHwZ9i+374fUg07/g8rNXRqWiIjI5agoJXIdTiWlM3D6RtYdOAvAs22q82KH2piMmhYvIiIiRcRipmbcL7h98SRkpoGbF9z+Mtz6PJj0tDERESm+VJQSuUYbD5/jmW83EJ+YTjlPN95/uCF33RTm6rBERESkLDm2EbefBlLv5Hb7/g1t4L7/QoUbXBqWiIhIXqgoJZJPNpuNaWsPM/qXfzBbbFQP9uX/ejWlRkg5V4cmIiIiZUVmOix/B/78HwabhXQ3P0z3vIvbzY9qIXMRESkxVJQSyYc0s4Xhc7cxa8NRAO6+KYz3Hm5IOU/9VRIREZEicnQD/PQsnNoJgLVeF5aa2tGu/iMqSImISImi36RF8ujouRSe/nYD244lYjTAy3fV4anbbsCgwZ+IiIgUBXMaLH8bVn0ENiv4hsB947HUuIuM+fNdHZ2IiEi+qSglkgd/7DnF89/9zbkUM+V93Pn40ca0rBHk6rBERESkrDiy3j476vRu+379R+Dud8GnApjNro1NRETkGqkoJXIFNpuNz37fx/sLd2G1Qf3IAD7r2ZhK5X1cHZqIiIiUBeZUWPYWrP7EPjuqXKh9IfM697o6MhERkeumopTIZSSlmfnPrC0s+CcOgEeaVmLMAzfh5W5ycWQiIiJSJhxea58ddWavfb9hD+j4tn12lIiISCmgopRILvaevMBT3/zFvlPJuJsMjL7/Jno0r6z1o0RERKTwZaRkz47CBn7hcN8EqH2XqyMTEREpUCpKifzLgm0nePH7zSRnWAjz9+Kzno25uUp5V4clIiIiZcGh1fDTQDi7z77f6DHo+BZ4aywiIiKlj4pSIhdZrDbeX7SLz5bbB4HR1Srw8aONCfbzdHFkIiIiUuplJMOSN2DtROyzoyLg/g+hZntXRyYiIlJoVJQSAc4mZ/D8d3+zcu9pAJ5oVY1X7q6Dm8no4shERESk1Dv4p3121LkD9v2be9lnR3kFuDYuERGRQqailJR5W4+e5+lvN3AsIRVvdxPjHmpAp4YRrg5LRERESrv0C7BkNKz73L7vH2mfHVWjnWvjEhERKSIqSkmZ9v1fR3h97jYyMq1EVfTh/3o1pXaYn6vDEhERkdLuwAr4aRAkHLLvN+kL7d8AL3+XhiUiIlKUVJSSMik908KYX7Yzbe1hANrVDeGDRxoR4O3u4shERESkVEu/AItHwvov7fsBle2zo6rf6dq4REREXEBFKSlz4s6n8cy0Dfx9OAGDAWLa1WLgHTUwGg2uDk1ERERKs/3L4efnIMH+pRhNH4f2Y8BTs7RFRKRsUlFKypQ1+88waPpGTl/IIMDbnQndG3FH7RBXhyUiIiKlWVoixI6ADVPs+wFV4IGP4IY2Lg1LRETE1Vz+aLFPPvmEqKgovLy8iI6OZt26dVc8PiEhgYEDBxIeHo6npye1atVi/vz5jtejoqIwGAw5toEDBzqOadOmTY7Xn3766UK7RnE9m83Gl3/s57Ev13L6QgZ1w/35ZVArFaRERESkcO1bCp/dml2QavYEPLtKBSkRERFcPFNq5syZxMTEMHHiRKKjo5kwYQIdO3Zk165dhITkLBZkZGTQvn17QkJCmD17NpGRkRw6dIjAwEDHMevXr8disTj2t23bRvv27Xn44Yed+howYABjxoxx7Pv4+BT8BUqxkJKRydAftvLL5uMAdLk5kre71Mfbw+TiyERERKTUSjsPi4bDxq/s+4FV4YGPodptro1LRESkGHFpUWr8+PEMGDCAfv36ATBx4kTmzZvH5MmTeeWVV3IcP3nyZM6ePcuqVatwd7cvSB0VFeV0THBwsNP+O++8Q/Xq1bn99tud2n18fAgLCyvAq5Hi6MDpZJ7+ZgO74pNwMxoYfl89ereoisGg9aNERESkkOxZDL88D4nH7PvNn4K2I8CznGvjEhERKWZcVpTKyMhgw4YNDBs2zNFmNBpp164dq1evzvWcn3/+mRYtWjBw4EB++ukngoODefTRRxk6dCgmU85ZLxkZGXz77bfExMTkKEJMmzaNb7/9lrCwMDp16sTw4cOvOFsqPT2d9PR0x35iYiIAZrMZs9mcr2u/mqz+Crrfkuh6crF01ylemr2VpLRMgst58GH3hjStWp7MzMyCDrPQ6TORTbnIplzYKQ/ZlItshZkL5VcuKzUBFr0Gf39r3y9fzT47KqqVS8MSEREprlxWlDp9+jQWi4XQ0FCn9tDQUHbu3JnrOfv372fp0qU89thjzJ8/n7179/Lss89iNpsZOXJkjuPnzp1LQkICffv2dWp/9NFHqVq1KhEREWzZsoWhQ4eya9cu5syZc9l4x44dy+jRo3O0L1q0qNBu/YuNjS2Ufkui/OTCaoMFR40sPGpfMq2an41+tVI4+c9q5v9TWBEWDX0msikX2ZQLO+Uhm3KRrTBykZKSUuB9SimwexH8MhiSjgMGiH4a2g4HD19XRyYiIlJslain71mtVkJCQvj8888xmUw0adKEY8eO8d577+ValJo0aRJ33303ERERTu1PPvmk4+f69esTHh5O27Zt2bdvH9WrV8/1vYcNG0ZMTIxjPzExkcqVK9OhQwf8/f0L6ArtzGYzsbGxtG/f3nGbYlmV31ycTzXz4uyt/H70NAC9oivzyl218XBz+Zr+10WfiWzKRTblwk55yKZcZCvMXGTNlhYBIPUcLHgVNk+371eoDg98AlVbuDYuERGREsBlRamgoCBMJhPx8fFO7fHx8Zdd6yk8PBx3d3enW/Xq1q1LXFwcGRkZeHh4ONoPHTrE4sWLrzj7KUt0dDQAe/fuvWxRytPTE09Pzxzt7u7uhTbwL8y+S5q85GL78USe/nYDh8+m4OlmZOyD9XmwcaUiirBo6DORTbnIplzYKQ/ZlItshZEL5VYcdi2AX1+ApBOAAVoMhDteAw89QEdERCQvXDZ9xMPDgyZNmrBkyRJHm9VqZcmSJbRokfs3Sy1btmTv3r1YrVZH2+7duwkPD3cqSAFMmTKFkJAQ7r333qvGsmnTJsBe9JKSae7fx3jwsz85fDaFSuW9+eGZW0tdQUpERESKiZSzMOcp+K6bvSBVsQY8vhA6vqWClIiISD649Pa9mJgY+vTpQ9OmTWnevDkTJkwgOTnZ8TS+3r17ExkZydixYwF45pln+Pjjjxk8eDDPPfcce/bs4e233+b555936tdqtTJlyhT69OmDm5vzJe7bt4/p06dzzz33ULFiRbZs2cKQIUO47bbbaNCgQdFcuBQYs8XKW/N2MHXVQQBuqxXMh90bEejjceUTRURERK7Fzvn22VEX4sFghBaD4I5Xwd3b1ZGJiIiUOC4tSnXr1o1Tp04xYsQI4uLiaNSoEQsWLHAsfn748GGMxuzJXJUrV2bhwoUMGTKEBg0aEBkZyeDBgxk6dKhTv4sXL+bw4cM8/vjjOd7Tw8ODxYsXOwpglStXpmvXrrz++uuFe7FS4E4mpTFo2t+sO3gWgOfurMEL7WphMhqucqaIiIhIPqWchd+Gwtbv7ftBteCBT6FyM9fGJSIiUoK5fKHzQYMGMWjQoFxfW758eY62Fi1asGbNmiv22aFDB2w2W66vVa5cmd9//z3fcUrxsuHQWZ75diMnk9Lx83Tjg0ca0uHG3NciExEREbkuO36BX2Mg+aR9dtStz0ObYeDu5erIRERESjSXF6VE8sNms/HtmkOM+XU7ZouNmiHl+L9eTbghuJyrQxMREZHSJvkM/PYf2PaDfT+4jn12VKUmro1LRESklFBRSkqMNLOFV3/cypyNxwC4t3444x5qgK+nPsYiIiJSwP6ZC/NehJTTYDBBqxfg9qHglvNpzCIiInJt9Nu8lAhHzqXw3Iwt/HM8EaMBht1dlydaV8Ng0PpRIiIiUoAunIL5L8H2ufb9kHrQ+VOIuNmlYYmIiJRGKkpJsbczwcDIz9aSkGqmgq8HH/e4mVtrBLk6LBERESlNbDb450d7QSrljH12VOsYuO0/mh0lIiJSSFSUkmLLZrPx2e/7mbjDiA0zDSsF8FnPJkQE6pHLIiIiUoAunLTfqrfjZ/t+6E3wwCcQ0cilYYmIiJR2KkpJsWSz2Xjnt53834r9gIFuTSMZ/UB9vNxNrg5NRERESgubzb6I+fz/QOpZMLpB65eg9Yvg5uHq6EREREo9FaWkWPp0+b6LBSl4qJqFNx+4EXcVpERERKSgJMXDvBjY+at9P7S+fe2o8AaujUtERKQMUVFKip1v1hzivYW7ABh2Vy3Czm93cUQiIiJSathssHWWfXZUWgIY3e3rRrWOAZO7q6MTEREpU4yuDkDkUnP/PsaIn7YB8NydNXi8ZZRrAxIREZHSIykOZjwKcwbYC1LhDeHJ5dBmqApSIiIiLqCZUlJsLN4ez4uzNmOzQZ8WVYlpX4vMzExXhyUiIiIlnc0GW2bCby9D2nn77Kg2Q6HlCypGiYiIuJCKUlIsrN53hmenb8RitfHgzZGM7HQjBoPB1WGJiIhISZd4HH55AfYstO+HN4LOn0FoPVdGJSIiIqgoJcXA5iMJPPHVejIyrbSvF8q4hxpgNKogJSIiItfBZoNN02HBMEg/DyYPaDMMbn0eTBoCi4iIFAf6F1lcand8En2mrCM5w8Kt1SvyUY+bcTNpqTMRERG5DuePwS+DYW+sfT+yCTzwKYTUcW1cIiIi4kRFKXGZI2dT6DVpLQkpZhpWDuTz3k3xcje5OiwREREpqWw2+PsbWPgapCeCyRPueBVaDNLsKBERkWJI/zqLS5xMTOOxL9cSn5hOrdByfNWvGeU89XEUERGRa5RwBH55HvYtte9XamafHRVcy7VxiYiIyGWpCiBFLiElg16T1nH4bApVKvjwTf9oAn08XB2WiIiIlEQ2G2yYCgtfh4wkcPOCO1+HW54Fo2Zgi4iIFGcqSkmRupCeSZ8p69kVn0SInyfTnogm1N/L1WGJiIhICeSdcRrTdw/Bgd/tDZWj4YFPIKimawMTERGRPFFRSopMmtnCk1//xeYjCQT6uPPtE9FUruDj6rBERESkpLFaMW6Ywp07hmO0poGbN7QdAdFPaXaUiIhICaKilBSJTIuV5777m1X7zuDrYeKrfs2pFern6rBERESkJDInY1w1AYM1DWvlWzB2/hQqVnd1VCIiIpJPRlcHIKWf1Wrj5dlbiN0ej4ebkS/7NKNh5UBXhyUiIiIllacflnsnsDWyJ5ZeP6sgJSIiUkKpKCWFymazMebX7cz5+xgmo4FPH21Mi+oVXR2WiIhIqfPJJ58QFRWFl5cX0dHRrFu37rLHtmnTBoPBkGO79957HcfYbDZGjBhBeHg43t7etGvXjj179hTFpeSJ7YY72B/SAQwazoqIiJRU+ldcCtV/Y3czddVBDAb44OGGtKsX6uqQRERESp2ZM2cSExPDyJEj2bhxIw0bNqRjx46cPHky1+PnzJnDiRMnHNu2bdswmUw8/PDDjmPGjRvHhx9+yMSJE1m7di2+vr507NiRtLS0orosERERKeVUlJJC8+Uf+/lw6V4Axtx/I51vjnRxRCIiIqXT+PHjGTBgAP369aNevXpMnDgRHx8fJk+enOvxFSpUICwszLHFxsbi4+PjKErZbDYmTJjA66+/zgMPPECDBg34+uuvOX78OHPnzi3CKxMREZHSTEUpKRTfrz/Cm/N2APCfjrXp1SLKtQGJiIiUUhkZGWzYsIF27do52oxGI+3atWP16tV56mPSpEl0794dX19fAA4cOEBcXJxTnwEBAURHR+e5TxEREZGr0dP3pMDN33qCV+ZsAeCp227g2TZafFRERKSwnD59GovFQmio8y3yoaGh7Ny586rnr1u3jm3btjFp0iRHW1xcnKOPf/eZ9Vpu0tPTSU9Pd+wnJiYCYDabMZvNV7+YfMjqr6D7LYmUCzvlIZtykU25sFMesikX2QozF3ntU0UpKVC/7z7F4Bl/Y7VBj+aVeeXuOhgMBleHJSIiIpcxadIk6tevT/Pmza+7r7FjxzJ69Ogc7YsWLcLHx+e6+89NbGxsofRbEikXdspDNuUim3JhpzxkUy6yFUYuUlJS8nScilJSYP46eJanvvkLs8XGvQ3CebNzfRWkRERECllQUBAmk4n4+Hin9vj4eMLCwq54bnJyMjNmzGDMmDFO7VnnxcfHEx4e7tRno0aNLtvfsGHDiImJcewnJiZSuXJlOnTogL+/f14vKU/MZjOxsbG0b98ed3f3Au27pFEu7JSHbMpFNuXCTnnIplxkK8xcZM2WvhoVpaRA/HP8PP2mrifNbKVN7WD++0gjTEYVpERERAqbh4cHTZo0YcmSJXTu3BkAq9XKkiVLGDRo0BXPnTVrFunp6fTs2dOpvVq1aoSFhbFkyRJHESoxMZG1a9fyzDPPXLY/T09PPD09c7S7u7sX2sC/MPsuaZQLO+Uhm3KRTbmwUx6yKRfZCiMXee1PRSm5bvtPXaDP5HUkpWXSLKo8nz3WBA83raEvIiJSVGJiYujTpw9NmzalefPmTJgwgeTkZPr16wdA7969iYyMZOzYsU7nTZo0ic6dO1OxYkWndoPBwAsvvMCbb75JzZo1qVatGsOHDyciIsJR+BIRERG5XipKyXU5npBKzy/XcvpCBjdG+DOpbzO8PUyuDktERKRM6datG6dOnWLEiBHExcXRqFEjFixY4Fio/PDhwxiNzl8Y7dq1i5UrV7Jo0aJc+3z55ZdJTk7mySefJCEhgVatWrFgwQK8vLwK/XpERESkbFBRSq7Z6Qvp9Jy0luPn07gh2JevHm+Ov5emP4qIiLjCoEGDLnu73vLly3O01a5dG5vNdtn+DAYDY8aMybHelIiIiEhB0T1Wck3Op5rpPWkd+08lExnozbf9owkql3MNCRERERERERGR3KgoJfmWmmHhia/Ws/1EIkHlPPimf3MiAr1dHZaIiIiIiIiIlCAqSkm+ZGRaefrbDaw/eA4/Lze+fjyaG4LLuTosERERERERESlhVJSSPLNYbQyZuYnfd5/C293ElL7NqBfh7+qwRERERERERKQEUlFK8sRms/Haj1uZt/UE7iYDE3s1oWlUBVeHJSIiIiIiIiIllIpSclU2m42xv+1kxvojGA3wv+43c3utYFeHJSIiIiIiIiIlWL6LUlFRUYwZM4bDhw8XRjxSDH26fB+fr9gPwDsPNuCe+uEujkhERERERERESrp8F6VeeOEF5syZww033ED79u2ZMWMG6enphRGbFANfrz7Iewt3AfD6vXV5pFllF0ckIiIiIiIiIqXBNRWlNm3axLp166hbty7PPfcc4eHhDBo0iI0bNxZGjOIiP/59lBE//QPA821r8kTrG1wckYiIiIiIiIiUFte8plTjxo358MMPOX78OCNHjuTLL7+kWbNmNGrUiMmTJ2Oz2QoyTilisdvjeWnWFgD63hrFkHY1XRyRiIiIiIiIiJQmbtd6otls5scff2TKlCnExsZyyy230L9/f44ePcqrr77K4sWLmT59ekHGKkVk1b7TDJy+EYvVxoONIxlxXz0MBoOrwxIRERERERGRUiTfRamNGzcyZcoUvvvuO4xGI7179+a///0vderUcRzTpUsXmjVrVqCBStHYdCSBAV/9RUamlQ71QhnXtQFGowpSIiIiIiIiIlKw8n37XrNmzdizZw+fffYZx44d4/3333cqSAFUq1aN7t2756m/Tz75hKioKLy8vIiOjmbdunVXPD4hIYGBAwcSHh6Op6cntWrVYv78+Y7XR40ahcFgcNr+HV9aWhoDBw6kYsWKlCtXjq5duxIfH5/HDJReu+OT6DtlHckZFlrWqMiHPW7GzXTNd3iKiIiIiIiIiFxWvmdK7d+/n6pVq17xGF9fX6ZMmXLVvmbOnElMTAwTJ04kOjqaCRMm0LFjR3bt2kVISEiO4zMyMmjfvj0hISHMnj2byMhIDh06RGBgoNNxN954I4sXL3bsu7k5X+aQIUOYN28es2bNIiAggEGDBvHggw/y559/XjXm0urwmRR6frmWhBQzjSoH8nmvpni5m1wdloiIiIiIiIiUUvkuSp08eZK4uDiio6Od2teuXYvJZKJp06Z57mv8+PEMGDCAfv36ATBx4kTmzZvH5MmTeeWVV3IcP3nyZM6ePcuqVatwd3cHICoqKsdxbm5uhIWF5fqe58+fZ9KkSUyfPp0777wTgClTplC3bl3WrFnDLbfckuf4S4v4xDR6TlrLyaR0aof6MbVfM3w9r3m5MRERERERERGRq8p35WHgwIG8/PLLOYpSx44d491332Xt2rV56icjI4MNGzYwbNgwR5vRaKRdu3asXr0613N+/vlnWrRowcCBA/npp58IDg7m0UcfZejQoZhM2bN69uzZQ0REBF5eXrRo0YKxY8dSpUoVADZs2IDZbKZdu3aO4+vUqUOVKlVYvXr1ZYtS6enppKenO/YTExMB+4LvZrM5T9ecV1n9FXS/uTmXkkHPSes5fDaFKhW8mdynMb7uhiJ577woylwUZ8pDNuUim3JhpzxkUy6yFWYulF8RERGRgpHvotT27dtp3Lhxjvabb76Z7du357mf06dPY7FYCA0NdWoPDQ1l586duZ6zf/9+li5dymOPPcb8+fPZu3cvzz77LGazmZEjRwIQHR3N1KlTqV27NidOnGD06NG0bt2abdu24efnR1xcHB4eHjlu+QsNDSUuLu6y8Y4dO5bRo0fnaF+0aBE+Pj55vu78iI2NLZR+s6RZ4NPtJg5dMBDgbqNv1ST++mNJob7ntSrsXJQUykM25SKbcmGnPGRTLrIVRi5SUlIKvE8RERGRsijfRSlPT0/i4+O54YYbnNpPnDiRY+2mgma1WgkJCeHzzz/HZDLRpEkTjh07xnvvvecoSt19992O4xs0aEB0dDRVq1bl+++/p3///tf83sOGDSMmJsaxn5iYSOXKlenQoQP+/v7XflG5MJvNxMbG0r59e8dtigUt3WzhiW82cujCOcr7uDOtfzNqhpQrlPe6HkWRi5JAecimXGRTLuyUh2zKRbbCzEXWbGkRERERuT75riJ16NCBYcOG8dNPPxEQEADYn4j36quv0r59+zz3ExQUhMlkyvHUu/j4+MuuBxUeHo67u7vTrXp169YlLi6OjIwMPDw8cpwTGBhIrVq12Lt3LwBhYWFkZGSQkJDgNFvqSu8L9mKcp6dnjnZ3d/dCG/gXVt9mi5Uhszez5sA5ynm68dXjzakXGVjg71OQCjPPJYnykE25yKZc2CkP2ZSLbIWRC+VWREREpGAY83vC+++/z5EjR6hatSp33HEHd9xxB9WqVSMuLo4PPvggz/14eHjQpEkTlizJvl3MarWyZMkSWrRokes5LVu2ZO/evVitVkfb7t27CQ8Pz7UgBXDhwgX27dtHeHg4AE2aNMHd3d3pfXft2sXhw4cv+76lidVq4+XZW4jdHo+Hm5EvejelQaVAV4clIiIiIiIiImVMvotSkZGRbNmyhXHjxlGvXj2aNGnC//73P7Zu3UrlypXz1VdMTAxffPEFX331FTt27OCZZ54hOTnZ8TS+3r17Oy2E/swzz3D27FkGDx7M7t27mTdvHm+//TYDBw50HPPSSy/x+++/c/DgQVatWkWXLl0wmUz06NEDgICAAPr3709MTAzLli1jw4YN9OvXjxYtWpT6J+/ZbDZG//IPP/59DDejgc8ea0yL6hVdHZaIiIiIiIiIlEHXtAiUr68vTz755HW/ebdu3Th16hQjRowgLi6ORo0asWDBAsfi54cPH8ZozK6bVa5cmYULFzJkyBAaNGhAZGQkgwcPZujQoY5jjh49So8ePThz5gzBwcG0atWKNWvWEBwc7Djmv//9L0ajka5du5Kenk7Hjh359NNPr/t6irvxsbv5avUhDAb44JGGtK0bevWTREREREREREQKwTWvTL59+3YOHz5MRkaGU/v999+fr34GDRrEoEGDcn1t+fLlOdpatGjBmjVrLtvfjBkzrvqeXl5efPLJJ3zyySd5jrOk+2LFfj5aal9Xa8wDN/FAo0gXRyQiIiIiIiIiZVm+i1L79++nS5cubN26FYPBgM1mA8BgMABgsVgKNkK5bjPXH+at+TsA+E/H2vS6paqLIxIRERERERGRsi7fa0oNHjyYatWqcfLkSXx8fPjnn39YsWIFTZs2zXVmk7jWvC0nGDZnKwBP3X4Dz7ap7uKIREREJMuRI0c4evSoY3/dunW88MILfP755y6MSkRERKRo5LsotXr1asaMGUNQUBBGoxGj0UirVq0YO3Yszz//fGHEKNdo+a6TvDDzb6w26NG8Cq/cVccxo01ERERc79FHH2XZsmUAxMXF0b59e9atW8drr73GmDFjXBydiIiISOHKd1HKYrHg5+cHQFBQEMePHwegatWq7Nq1q2Cjk2u2/uBZnv52A2aLjfsahPNm55tUkBIRESlmtm3bRvPmzQH4/vvvuemmm1i1ahXTpk1j6tSprg1OREREpJDle02pm266ic2bN1OtWjWio6MZN24cHh4efP7559xwww2FEaPk0z/Hz/P41PWkma20qR3M+EcaYTKqICUiIlLcmM1mPD09AVi8eLHjgTF16tThxIkTrgxNREREpNDle6bU66+/jtVqBWDMmDEcOHCA1q1bM3/+fD788MMCD1DyZ/+pC/SetI6ktEyaR1Xgs8ea4OGW7//MIiIiUgRuvPFGJk6cyB9//EFsbCx33XUXAMePH6dixYoujk5ERESkcOV7plTHjh0dP9eoUYOdO3dy9uxZypcvr9vDXOxYQio9v1zLmeQMbor058u+TfH2MLk6LBEREbmMd999ly5duvDee+/Rp08fGjZsCMDPP//suK1PREREpLTKV1HKbDbj7e3Npk2buOmmmxztFSpUKPDAJH9OX0in15drOX4+jerBvnzVrzn+Xu6uDktERESuoE2bNpw+fZrExETKly/vaH/yySfx8fFxYWQiIiIihS9f93W5u7tTpUoVLBZLYcUj1+B8qpnek9ax/3QykYHefPtENBXLebo6LBEREbmK1NRU0tPTHQWpQ4cOMWHCBHbt2kVISIiLoxMREREpXPlebOi1117j1Vdf5ezZs4URj+RTaoaF/lPXs/1EIkHlPPn2iWjCA7xdHZaIiIjkwQMPPMDXX38NQEJCAtHR0XzwwQd07tyZzz77zMXRiYiIiBSufBelPv74Y1asWEFERAS1a9emcePGTpsUnYxMK09/u4G/Dp3D38uNb/o3p1qQr6vDEhERkTzauHEjrVu3BmD27NmEhoZy6NAhvv76az1ARkREREq9fC903rlz50IIQ/LLYrUxZOYmft99Cm93E1P6NaduuL+rwxIREZF8SElJwc/PD4BFixbx4IMPYjQaueWWWzh06JCLoxMREREpXPkuSo0cObIw4pB8sNlsvDpnK/O2nsDDZOTz3k1oUrX81U8UERGRYqVGjRrMnTuXLl26sHDhQoYMGQLAyZMn8ffXl00iIiJSuuX79j1xLZvNxtvzdzDzryMYDfBhj0a0rhns6rBERETkGowYMYKXXnqJqKgomjdvTosWLQD7rKmbb77ZxdGJiIiIFK58z5QyGo0YDIbLvq4n8xWuT5bt5Ys/DgDwTtcG3HVTuIsjEhERkWv10EMP0apVK06cOEHDhg0d7W3btqVLly4ujExERESk8OW7KPXjjz867ZvNZv7++2+++uorRo8eXWCBSU5frz7I+4t2AzD8vno80rSyiyMSERGR6xUWFkZYWBhHjx4FoFKlSjRv3tzFUYmIiIgUvnwXpR544IEcbQ899BA33ngjM2fOpH///gUSmDj78e+jjPjpHwAGt61J/1bVXByRiIiIXC+r1cqbb77JBx98wIULFwDw8/PjxRdf5LXXXsNo1EoLIiIiUnrluyh1ObfccgtPPvlkQXUnl4jdHs9Ls7YA0PfWKF5oV9PFEYmIiEhBeO2115g0aRLvvPMOLVu2BGDlypWMGjWKtLQ03nrrLRdHKCIiIlJ4CqQolZqayocffkhkZGRBdCeXWLXvNAOnb8RitdG1cSVG3Ffvimt6iYiISMnx1Vdf8eWXX3L//fc72ho0aEBkZCTPPvusilIiIiJSquW7KFW+fHmnoojNZiMpKQkfHx++/fbbAg2urNt89DwDvvqLjEwrHW8M5d2u9TEaVZASEREpLc6ePUudOnVytNepU4ezZ8+6ICIRERGRopPvotR///tfp6KU0WgkODiY6OhoypcvX6DBlWXHU2Dk1xtJzrDQqkYQH/a4GTeT1pUQEREpTRo2bMjHH3/Mhx9+6NT+8ccf06BBAxdFJSIiIlI08l2U6tu3byGEIZc6fDaFz7abSDSbublKIP/XqwmebiZXhyUiIiIFbNy4cdx7770sXryYFi1aALB69WqOHDnC/PnzXRydiIiISOHK99SbKVOmMGvWrBzts2bN4quvviqQoMqyk4lp9Jm6gUSzgdqh5ZjStxm+ngW2Hr2IiIgUI7fffju7d++mS5cuJCQkkJCQwIMPPsg///zDN9984+rwRERERApVvotSY8eOJSgoKEd7SEgIb7/9doEEVZb5erpRpYI3QZ42pvRpQqCPh6tDEhERkUIUERHBW2+9xQ8//MAPP/zAm2++yblz55g0aZKrQxMREREpVPkuSh0+fJhq1arlaK9atSqHDx8ukKDKMl9PNz7v2ZjnbrQQ7Ofp6nBERERERERERApFvotSISEhbNmyJUf75s2bqVixYoEEVdZ5uhkJVD1KREREREREREqxfBelevTowfPPP8+yZcuwWCxYLBaWLl3K4MGD6d69e2HEKCIiIiIiIiIipUy+V9B+4403OHjwIG3btsXNzX661Wqld+/eWlNKREREJA8efPDBK76ekJBQNIGIiIiIuFC+i1IeHh7MnDmTN998k02bNuHt7U39+vWpWrVqYcQnIiIiUuoEBARc9fXevXsXUTQiIiIirpHvolSWmjVrUrNmzYKMRURERKRMmDJliqtDEBEREXG5fK8p1bVrV959990c7ePGjePhhx8ukKBERERERERERKR0y3dRasWKFdxzzz052u+++25WrFhRIEGJiIiIiIiIiEjplu+i1IULF/Dw8MjR7u7uTmJiYoEEJSIiIiIiIiIipVu+i1L169dn5syZOdpnzJhBvXr1CiQoEREREREREREp3fK90Pnw4cN58MEH2bdvH3feeScAS5YsYfr06cyePbvAAxQRERERERERkdIn30WpTp06MXfuXN5++21mz56Nt7c3DRs2ZOnSpVSoUKEwYhQRERERERERkVIm30UpgHvvvZd7770XgMTERL777jteeuklNmzYgMViKdAARURERERERESk9Mn3mlJZVqxYQZ8+fYiIiOCDDz7gzjvvZM2aNQUZm4iIiIiIiIiIlFL5mikVFxfH1KlTmTRpEomJiTzyyCOkp6czd+5cLXIuIiIiIiIiIiJ5lueZUp06daJ27dps2bKFCRMmcPz4cT766KPCjE1EREREREREREqpPM+U+u2333j++ed55plnqFmzZmHGJCIiIiIiIiIipVyeZ0qtXLmSpKQkmjRpQnR0NB9//DGnT58uzNhERERERERERKSUynNR6pZbbuGLL77gxIkTPPXUU8yYMYOIiAisViuxsbEkJSUVZpwiIiIicgWffPIJUVFReHl5ER0dzbp16654fEJCAgMHDiQ8PBxPT09q1arF/PnzHa+PGjUKg8HgtNWpU6ewL0NERETKkHw/fc/X15fHH3+clStXsnXrVl588UXeeecdQkJCuP/++/MdQEEPoMaOHUuzZs3w8/MjJCSEzp07s2vXLqc+2rRpk2OQ9fTTT+c7dhEREZHiYObMmcTExDBy5Eg2btxIw4YN6dixIydPnsz1+IyMDNq3b8/BgweZPXs2u3bt4osvviAyMtLpuBtvvJETJ044tpUrVxbF5YiIiEgZke+i1KVq167NuHHjOHr0KN99912+zy+MAdTvv//OwIEDWbNmDbGxsZjNZjp06EBycrJTXwMGDHAaZI0bNy7f8YuIiIgUB+PHj2fAgAH069ePevXqMXHiRHx8fJg8eXKux0+ePJmzZ88yd+5cWrZsSVRUFLfffjsNGzZ0Os7NzY2wsDDHFhQUVBSXIyIiImVEnhc6vxKTyUTnzp3p3Llzvs67dAAFMHHiRObNm8fkyZN55ZVXchyfNYBatWoV7u7uAERFRTkds2DBAqf9qVOnEhISwoYNG7jtttsc7T4+PoSFheUrXhEREZHiJiMjgw0bNjBs2DBHm9FopF27dqxevTrXc37++WdatGjBwIED+emnnwgODubRRx9l6NChmEwmx3F79uwhIiICLy8vWrRowdixY6lSpUqhX5OIiIiUDQVSlLoWhTmAutT58+cBqFChglP7tGnT+PbbbwkLC6NTp04MHz4cHx+fy8abnp5Oenq6Yz8xMREAs9mM2WzO20XnUVZ/Bd1vSaRc2CkP2ZSLbMqFnfKQTbnIVpi5KG75PX36NBaLhdDQUKf20NBQdu7cmes5+/fvZ+nSpTz22GPMnz+fvXv38uyzz2I2mxk5ciQA0dHRTJ06ldq1a3PixAlGjx5N69at2bZtG35+frn2q/GSaygXdspDNuUim3JhpzxkUy6yFYfxksFms9kK/N3z4Pjx40RGRrJq1SpatGjhaH/55Zf5/fffWbt2bY5z6tSpw8GDB3nsscd49tlnHQOo559/3jGAupTVauX+++8nISHBaQ2Ezz//nKpVqxIREcGWLVsYOnQozZs3Z86cOZeNd9SoUYwePTpH+/Tp069YzBIREZHSJSUlhUcffZTz58/j7+/v6nCuaUxVq1Yt0tLSOHDggOOLvfHjx/Pee+9x4sSJXN8nISGBqlWrMn78ePr375/rMRoviYiICOR9vOSymVLXwmq1EhISwueff47JZKJJkyYcO3aM9957L9ei1MCBA9m2bVuORTmffPJJx8/169cnPDyctm3bsm/fPqpXr57rew8bNoyYmBjHfmJiIpUrV6ZDhw4FPiA1m83ExsbSvn17x22KZZVyYac8ZFMusikXdspDNuUiW2HmImv2T3ERFBSEyWQiPj7eqT0+Pv6ySxWEh4fj7u7uNNO8bt26xMXFkZGRgYeHR45zAgMDqVWrFnv37r1sLBovuYZyYac8ZFMusikXdspDNuUiW3EYL7msKFXYA6hBgwbx66+/smLFCipVqnTFWKKjowHYu3fvZYtSnp6eeHp65mh3d3cvtA9yYfZd0igXdspDNuUim3JhpzxkUy6yFUYuiltuPTw8aNKkCUuWLHGs72m1WlmyZAmDBg3K9ZyWLVsyffp0rFYrRqP9uTe7d+8mPDw814IUwIULF9i3bx+9evW6bCxFOV5KycjkXLo+75dSLuyUh2zKRTblwk55yKZcZHPleOm6nr53PS4dQGXJGkBdOvX8Ui1btmTv3r1YrVZH278HUDabjUGDBvHjjz+ydOlSqlWrdtVYNm3aBNiLXiIiIiIlTUxMDF988QVfffUVO3bs4JlnniE5OdnxMJnevXs7reP5zDPPcPbsWQYPHszu3buZN28eb7/9NgMHDnQc89JLL/H7779z8OBBVq1aRZcuXTCZTPTo0aPIr+/fbDYbr83dzntbTPy574yrwxEREZFr5NLb92JiYujTpw9NmzalefPmTJgwIccAKjIykrFjxwL2AdTHH3/M4MGDee6559izZw9vv/02zz//vKPPgQMHMn36dH766Sf8/PyIi4sDICAgAG9vb/bt28f06dO55557qFixIlu2bGHIkCHcdtttNGjQoOiTICIiInKdunXrxqlTpxgxYgRxcXE0atSIBQsWOBY/P3z4sGNGFEDlypVZuHAhQ4YMoUGDBkRGRjJ48GCGDh3qOObo0aP06NGDM2fOEBwcTKtWrVizZg3BwcFFfn3/lpSeyYEzySRnGuj31QZebF+LZ9vUwGg0uDo0ERERyQeXFqUKYwD12WefAdCmTRun95oyZQp9+/bFw8ODxYsXOwpglStXpmvXrrz++uuFf8EiIiIihWTQoEGXvV1v+fLlOdpatGjBmjVrLtvfjBkzCiq0Aufv5c7MJ5ozYGIsq08aeX/RbjYdSeCDRxoR4K1bMUREREoKly90XtADqKs9TLBy5cr8/vvv+YpRRERERIoXT3cT3atb6XRrfUb9uoPFO07S6aOVfNazMTdGBLg6PBEREckDl60pJSIiIiJyvR5uEsmcZ26lUnlvDp9N4cFPVzF7w1FXhyUiIiJ5oKKUiIiIiJRoN0UG8OtzrbijdjDpmVZemrWZV3/cSnqmxdWhiYiIyBWoKCUiIiIiJV6gjweT+jQjpn0tDAaYvvYwj0xczbGEVFeHJiIiIpehopSIiIiIlApGo4Hn29Zkar/mBPq4s/noee778A9W7D7l6tBEREQkFypKiYiIiEipcnutYH59rhUNKgVwLsVMnynr+HDJHqzWKz8QR0RERIqWilIiIiIiUupUKu/D90+1oEfzKthsMD52N098/RfnU8yuDk1EREQuUlFKREREREolL3cTYx+sz3sPNcDTzcjSnSe57+M/2HbsvKtDExEREVSUEhEREZFS7uGmlZnz7K1UruDNkbOpdP1sFd//dcTVYYmIiJR5KkqJiIiISKl3Y0QAvw5qzZ11QkjPtPLy7C0Mm7OFNLPF1aGJiIiUWSpKiYiIiEiZEODjzpe9m/Ji+1oYDPDduiM8PHE1R86muDo0ERGRMklFKREREREpM4xGA8+1rclX/ZpT3sedrcfO0+njlSzfddLVoYmIiJQ5KkqJiIiISJlzW61gfn2+NQ0rBZCQYqbf1PVMWLwbq9Xm6tBERETKDBWlRERERKRMigz05vunW/BYdBVsNpiweA+Pf7WehJQMV4cmIiJSJqgoJSIiIiJllqebibe61OeDhxvi6WZk+a5T3PfRSrYdO+/q0EREREo9FaVEREREpMzr2qQSPz7bkqoVfTh6LpUHP1vFzPWHXR2WiIhIqaailIiIiIgIUC/Cn58HtaJd3RAyMq0M/WErL8/eTJrZ4urQRERESiUVpURERERELgrwdufzXk35T8faGA3w/V9HeWjiKo6cTXF1aCIiIqWOilIiIiIiIpcwGg0MvKMGXz8eTQVfD7YdS+S+j1aybOdJV4cmIiJSqqgoJSIiIiKSi1Y1g/j1uVY0rBzI+VQzj3+1nvGxu7FYba4OTUREpFRQUUpERERE5DIiAr35/qlb6HlLFWw2+HDJHvpNXc+55AxXhyYiIlLiqSglIiIiInIFnm4m3uxcn/GPNMTL3ciK3ae476OVbDma4OrQRERESjQVpURERERE8uDBxpX48dmWRFX04VhCKg99tprv1h3GZtPtfCIiItdCRSkRERERkTyqG+7PT4Na0b5eKBkWK8PmbOXl2VtIM1tcHZqIiEiJo6KUiIiIiEg+BHi78389m/Dy/7d35/FRVff/x18zk8lkISEhIRtb2IQAgiyCARWBsKoVpRZbrIgKFcEi+erX0lZx6Q/sVwVbiyJUkLZaqVZxAYEQBEVAFERZQiBsYctGErInk8z8/rghQ0hQRJKbkPfz8TiPZO7ce+ZzPwY5fHLOuaO6YLXAO9uPc8crm0k9XWR2aCIiIo2Kl9kBSCPldoOrHJzFUF4K5SWe5iyp/rq8tPK8izmntNo5XhWl9C0PxrKvArqMAm8/s+9cREREBKvVwkM3daJX6yB+++9v2Hsqj1te/pz5469hWEy42eGJiIg0CipKNXZu948oCpVCeXHtr2u7znnO9bVd53bV+e1ZgNYA//0S7H7QeQR0u8346mhW558vIiIi8n0GdQrl499ez0Nv7uCb1FzuX/Y1Dw/txCNxV2GzWswOT0REpEFTUaoBsn30W/qlHsC2/J9QUfbDxaSGwOYAuw94+YCXA7x8ja923+qvvXzOOc/nvNc1rysvr+Dw+qV0Kt2D5Uwq7F1hNC9f6BwH3cbCVSPBEWByAkRERKSpimzuy/Ipsfxp5V7+seUoL69PYeexXP5yV29a+HubHZ6IiEiDpaJUA2RJ/ohWpfmQ+6OvrCzmnFPkOb8oZD+nOFSjKHQx19VSXLI5wFo325O5nU72JpcQPXo09szdsPcDoyiVcwSSPjKazQGd4owZVF1GgU/zOolFRERE5EK8vaw8c1sP+rQN5nfvfcfnB7K49eVNvDKhD73aBJkdnoiISIOkolQD5LrpCfbs2U23Xn3xcvhffHHJZgfLFTpN3GKBVn2MFvcUpH1nFKj2rIDsg5C80mg2b+g4tLJANQZ8g0wOXERERJqSsb1b0TUygAf/uZ0jp4u4c+EWZv+sG7/q3xbLlTpOExERuUQqSjVArn73cThjFTHXjAG73exwGh6LBSJ7GW3oE5C+xzODKms/7F9tNKsdOtxkFKi63gx+LcyOXERERJqArhGBfPjw9Tz6n29ZuzedP7y/mx1Hc/nT2B74etvMDk9ERKTBqJs1VyL1xWKBiB4w9A8wbRs8tBUG/w5axoDLCSkJ8OF0eKEz/PN22L4MCk+bHbWIiIhc4QJ97Lz26778bnRXrBb4747j3PHqZo6eLjQ7NBERkQZDRSm5clgsEBYDQ2bBtK1GkWrIHyC8B7jK4eB6+Oi3RoHqH7fB10ugINPsqEVEROQKZbFYeHBwR/71wABCm3mTdCqPW17exLq96WaHJiIi0iCoKCVXrpZdYPD/wtQvYPp2Y6lfRE9wV8ChDfDxTHjxKnjjFti2GPI1QBQREZHLb2DHUD5++Ab6tA0iv6ScB/7xNc+v2UeFy212aCIiIqZSUUqahtBOcOOj8ODn8PAOY7P0qN7gdsGRz2HVo/BiF1g6Br58DfJOmR2xiIiIXEEimvvw9pRY7h0YDcCCTw8ycck2TheUmhuYiIiIiVSUkqYnpCNcPxOmbIAZ38LwZ6FVP8ANR7+AT/4X5nWF10fCllfgzHGzIxYREZErgLeXlad+1p2/3HUNvnYbm1KyuPXlTXyTmmN2aCIiIqZQUUqatuBoGPRbmJwIj+yGkXOgdX/jvWNbYc0smN8d/h4Hm1+G3FRTwxUREZHG77ZrWrFi2iA6hPpz8kwJv3htC//cehS3W8v5RESkaVFRSuSsoDYQOw0eSICZe2HUn6FtLGCB41/B2j/CS1fDoiGw6SXIPmx2xCIiItJIdYkI4IPpgxjVPQJnhZsnVuzmf/7zLcVlFWaHJiIiUm9UlBKpTfNWcN2DcN9qiE+CMS9Au+sBC5zcAetmw1+vgdduhM/nwemDZkcsIiIijUyAj51X7+7D78d0xWa18N43J7j9lS84klVodmgiIiL1QkUpkR8SGAn9J8OklfA/yXDzi9D+RrBY4dS3kPg0vNwHXr0ePnsesg6YHbGIiIg0EhaLhSk3duTNBwYQ2sybfWn53PryJtbuSTM7NBERkTqnopTIjxEQDtc+ABM/gkcPwC0vQYchYLFB+i5Y/yf4Wz94ZSBs+DNk7DM7YhEREWkErusQwsrf3kC/dsHkl5Yz5Z/b+fPqfZRXuMwOTUREpM6oKCVyqfxDod8kuGcFPJYCP3sZOsWB1Qsy9sCGOfDKAFgwAD6dA+l7QRuYioiIyAWEB/rw7ynXMWlQNACvbjjIPUu2kVVQam5gIiIidURFKZHLwa8F9LkH7v6vMYPqtleg80iw2iFzH2z8M7waC3+7FhKfhbRdKlCJiIhIDXabldm3duevv+yNn7eNzQdPc8tfN7EjNcfs0ERERC47FaVELje/FtB7Akz4jzGD6vbX4KrRYPOG0wfg8xdg4fXGPlTrnoaTO1WgEhERkWp+1iuKD6YNokNLf9LyShj/2hb+seUIbo0ZRETkCmJ6UWrBggVER0fj4+PDgAED2LZt2/een5uby7Rp04iMjMThcHDVVVexatWqH9VnSUkJ06ZNIyQkhGbNmjFu3DjS09Mv+72J4BsEve6CX70Njx2EO/4OXW8BmwOyD8GmebBosPEkv4Qn4cR2FahEREQEgM7hAXwwbRBjro7AWeHmyQ/2MHP5TorKys0OTURE5LIwtSi1fPly4uPjmT17Njt27KBXr16MHDmSjIyMWs8vKytj+PDhHDlyhHfffZfk5GQWL15Mq1atflSfM2fO5KOPPuKdd95h48aNnDx5kjvuuKPO71eaOJ9A6Hkn3PUm/O9B+PkSiPkZePlCzhH44i+weCi81BPW/AGOfaUClYiISBMX4GNnwa/68MebY7BZLazYeZLbF2zmUGaB2aGJiIj8ZKYWpebNm8fkyZOZNGkS3bp1Y+HChfj5+bFkyZJaz1+yZAnZ2dmsWLGCQYMGER0dzeDBg+nVq9dF93nmzBlef/115s2bx9ChQ+nbty9Lly5l8+bNbN26tV7uWwRHAPQYB+P/aRSo7nwDut8Odj84kwpb/gavx8H8HrB6FpZjX4JbT98RERFpiiwWCw/c0IG3HhhAywAHyen53Pa3L1i9O83s0ERERH4SL7M+uKysjO3btzNr1qyqY1arlbi4OLZs2VLrNR9++CGxsbFMmzaNDz74gJYtW/KrX/2Kxx9/HJvNdlF9bt++HafTSVxcXNU5Xbt2pW3btmzZsoXrrruu1s8uLS2ltNTz5JO8vDwAnE4nTqfz0hNRi7P9Xe5+G6MmkQuLN1x1i9GcRVgOrse670MsB9ZgyTsOW1/Ba+srDLe3oKKDFWLGmB2xqZrEz8RFUi4MyoOHcuFRl7lQfsUsAzqEsPLh65n21g6+OpLDg//azm8Gd+CRIR3MDk1EROSSmFaUysrKoqKigvDw8GrHw8PD2bdvX63XHDp0iPXr1zNhwgRWrVpFSkoKDz30EE6nk9mzZ19Un2lpaXh7exMUFFTjnLS0C/+2ae7cuTz99NM1jq9duxY/P7+LueUfLSEhoU76bYyaVi6s4D0Wa8wYwvJ2EZX7FRFnvsHPmQ3v3cOBsJtJihqH22LaH98GoWn9THw/5cKgPHgoFx51kYuioqLL3qfIxQoL9OGtydfx3Cf7eH3TYV7beIhvU3O4uYXZkYmIiPx4jepftS6Xi7CwMBYtWoTNZqNv376cOHGC559/ntmzZ9fpZ8+aNYv4+Piq13l5ebRp04YRI0YQGBh4WT/L6XSSkJDA8OHDsdvtl7Xvxka5GAuAszif1H8+SMfMNXTOWElHx2kqxi6GwEhzwzOBfiY8lAuD8uChXHjUZS7OzpYWMYvdZuWJW7rRu20Q//vud2w9nMN3x2w4I1L59cD22G2mP8tIRETkophWlAoNDcVms9V46l16ejoRERG1XhMZGYndbsdms1Udi4mJIS0tjbKysovqMyIigrKyMnJzc6vNlvq+zwVwOBw4HI4ax+12e50N/Ouy78ZGuQhgd+sJtLvxLrw+noH12Fasr98E4/4OHYeaHZwp9DPhoVwYlAcP5cKjLnKh3EpDcUvPKLpGBDD9zR3sSy/gmZX7eHPbMf54SzeGdAkzOzwREZEfZNqvUby9venbty+JiYlVx1wuF4mJicTGxtZ6zaBBg0hJScHl8mz4vH//fiIjI/H29r6oPvv27Yvdbq92TnJyMqmpqRf8XJGGwt31VpiyASKuhqLT8M874NM54KowOzQRERExQaewAN6feh13tq8g2M/OwcxCJi39iolLtnEgPd/s8ERERL6XqXN74+PjWbx4McuWLSMpKYmpU6dSWFjIpEmTALjnnnuqbVo+depUsrOzmTFjBvv372flypXMmTOHadOmXXSfzZs35/777yc+Pp5PP/2U7du3M2nSJGJjYy+4yblIgxLSEe5fB30nAW7Y+Gf45+1QkGF2ZCIiImICL5uV6yPcrHvkeqbc2AG7zcLG/ZmM+svnzP5gNzmFZWaHKCIiUitT95QaP348mZmZPPnkk6SlpXHNNdewevXqqo3KU1NTsVo9dbM2bdqwZs0aZs6cSc+ePWnVqhUzZszg8ccfv+g+AebPn4/VamXcuHGUlpYycuRIXnnllfq7cZGfyu4Dt74E7QbCR4/A4Y2w8Ab4+RKIHmR2dCIiImKCQF87vx8Tw6/6t2XOqiTW7k1n2ZajvP/NCWbEXcWvr2uHt5f2mxIRkYbD9I3Op0+fzvTp02t9b8OGDTWOxcbGsnXr1kvuE8DHx4cFCxawYMGCHxWrSIPT8xcQ2Qv+MxEyk2DZLTD0CRj0CFg16BQREWmKokP9WXRPPzYfzOLZj5NIOpXHsx/v5c2tR/nDzTEM7RqGxWIxO0wRERFzl++JyGXQsgtMToRevwS3CxKfhn+Ph6JssyMTEREREw3sGMrHD1/Pc3dcTWgzbw5lFXL/sq/59evb2Jemp0iKiIj5VJQSuRJ4+8PYV+FnL4OXDxxYayznO/aV2ZGJiIiIiWxWC3f1b8unj97E1Js64m2zsiklizF/+Zw/vL+L0wWlZocoIiJNmIpSIlcKiwX63AMPrIMWHSHvOCwdBVteAbfb7OhERETERAE+dh4f1ZV18YMZc3UELje8+WUqNz2/gUWfHaS0XE/yFRGR+qeilMiVJuJqmLIBuo0FVzmsmQXL74biXJMDExEREbO1DfHjlQl9WT7lOnq0CiS/tJw5q/YxYv5nrNmThlu/yBIRkXqkopTIlcgnEO58A8a8AFY77PsYFg2GkzvNjkxEREQagAEdQvhw2vU8//OetAxwcPR0Eb/553Z+uXgre06eMTs8ERFpIlSUErlSWSzQfzLcvwaC2kLOEXh9BHz1upbziYiICFarhTv7tWHDozcxfUgnHF5Wth7K5paXN/G7/35HRn6J2SGKiMgVTkUpkStdq77wm8+gyxioKIWV8fDfB6A03+zIREREpAHwd3jx6MguJP7PYG7tFYXbDW9/dYwhz2/glQ0plDi135SIiNQNFaVEmgLfYLjrLRjxJ7DYYPe7sGgIpO81OzIRERFpIFoH+/HyL3vz36mx9GoTRGFZBf+3Opm4eRtZteuU9psSEZHLTkUpkabCYoGBD8OkVRAQBacPwOKhsPMtsyMTERGRBqRvuxa8P3Ug88f3IiLQh+M5xTz05g7Gv7aVXce135SIiFw+KkqJNDVtr4MHP4eOw6C8GFZMhQ+mQVmR2ZGJiIhIA2G1Wri9d2vWPzqYGcM642O3su1INj9bsIlH3/mW9DztNyUiIj+dilIiTZF/KEx4F4b8ESxW+OZf8Pc4yDpgdmQiInKJFixYQHR0ND4+PgwYMIBt27Z97/m5ublMmzaNyMhIHA4HV111FatWrfpJfcqVx8/bi5nDr+LTR2/i9t6tcLvh3e3HGfLCBl5OPKD9pkRE5CdRUUqkqbJaYfBj8OsV4B8GGXtg0U2w+79mRyYiIj/S8uXLiY+PZ/bs2ezYsYNevXoxcuRIMjIyaj2/rKyM4cOHc+TIEd59912Sk5NZvHgxrVq1uuQ+5coW2dyX+eOvYcW0QfRpG0RRWQUvJuxn2Isb+fDbk9pvSkRELomKUiJNXYfBxnK+dtdDWQG8ex+s/B8oLzU7MhERuUjz5s1j8uTJTJo0iW7durFw4UL8/PxYsmRJrecvWbKE7OxsVqxYwaBBg4iOjmbw4MH06tXrkvuUpuGaNkH8d+pA/vrL3kQ19+FEbjG//fc3jHt1M9+k5pgdnoiINDIqSokIBETAPR/ADY8ar7/6O7w+ArIPmxuXiIj8oLKyMrZv305cXFzVMavVSlxcHFu2bKn1mg8//JDY2FimTZtGeHg4PXr0YM6cOVRUVFxyn9J0WCwWftYrivWP3sT/DL8KP28bO1Jzuf2VzcxcvpNTZ4rNDlFERBoJL7MDEJEGwuYFw54wNkJ/bwqc2gmvDYbbX4WuN5sdnYiIXEBWVhYVFRWEh4dXOx4eHs6+fftqvebQoUOsX7+eCRMmsGrVKlJSUnjooYdwOp3Mnj37kvoEKC0tpbTUM9M2Ly8PAKfTidPpvNRbrNXZ/i53v42RWbmwAQ/eGM3t10Qwb10K731zkve/OcEnu08x+fpoHrg+Gj/v+vvnhn4mPJQLD+XCoDx4KBcedZmLi+1TRSkRqa7zcGM53zuT4Pg2ePtXEDsd4p4Cm93s6ERE5DJwuVyEhYWxaNEibDYbffv25cSJEzz//PPMnj37kvudO3cuTz/9dI3ja9euxc/P76eEfEEJCQl10m9jZGYuBvtAh6vhvSM2DuW7ePnTQ/zji4Pc2tZF31A3Vkv9xaKfCQ/lwkO5MCgPHsqFR13koqjo4p7urqKUiNTUvDVMWgXrnoItfzPasW1w51LjPRERaTBCQ0Ox2Wykp6dXO56enk5ERESt10RGRmK327HZbFXHYmJiSEtLo6ys7JL6BJg1axbx8fFVr/Py8mjTpg0jRowgMDDwUm7vgpxOJwkJCQwfPhy7vWn/0qQh5WKK283qPen835r9HM8t4V8pNr4rDuQPY7rSp21QnX52Q8qD2ZQLD+XCoDx4KBcedZmLs7Olf4iKUiJSO5sdRv4/aBsLKx4yZk0tvAHuWAyd4374ehERqRfe3t707duXxMRExo4dCxgzoRITE5k+fXqt1wwaNIi33noLl8uF1WpsMbp//34iIyPx9vYG+NF9AjgcDhwOR43jdru9zgb+ddl3Y9NQcvGz3m0Y0SOKJV8cZsH6FL47kcf4xdu4tVcUj4/qQuvgupk1d1ZDyUNDoFx4KBcG5cFDufCoi1xcbH/a6FxEvl/MLfCbjRB5DRRnw5vjIPFZqCg3OzIREakUHx/P4sWLWbZsGUlJSUydOpXCwkImTZoEwD333MOsWbOqzp86dSrZ2dnMmDGD/fv3s3LlSubMmcO0adMuuk+R7+Njt/HQTZ349LGbuOvaNlgs8NG3Jxn24kZeWJNMYanGESIioplSInIxWrSH+9bA2j8YT+b7/AU49iWM+7vx5D4RETHV+PHjyczM5MknnyQtLY1rrrmG1atXV21UnpqaWjUjCqBNmzasWbOGmTNn0rNnT1q1asWMGTN4/PHHL7pPkYsRFuDDc+N68uvYdjz78V62Hsrmb5+m8J+vj/HYyC6M69Maa31uOCUiIg2KilIicnHsPnDzi8Zyvo9mwJHPjeV8P38d2t9odnQiIk3e9OnTL7i0bsOGDTWOxcbGsnXr1kvuU+TH6B7VnH9Pvo61e9OZsyqJo6eLeOzd71i25QhP3NyNAR1CzA5RRERMoOV7IvLjXP1zmLIBwrpDYQb84zbY+Dy4XGZHJiIiIg2YxWJhZPcI1s68kd+P6UqAw4vdJ/IYv2grD725nWPZF/ekJhERuXKoKCUiP15oZ3hgHfS+G9wu+PRP8ObPoTDL7MhERESkgXN42ZhyY0c+fewmJgxoi9UCq3alMezFjTz3yT7yS5xmhygiIvVERSkRuTTefnDbArjtFfDyhYOJxnK+1O9fCiIiIiICENrMwf+7/WpWzbiB6zuFUlbhYuHGgwx5YQNvb0ulwuU2O0QREaljKkqJyE/TewJMXg8hnSH/JCwdA1/8FdwaSIqIiMgP6xoRyD/v78/rE/vRIdSfrIIyfvfeLm55eRObD2oWtojIlUxFKRH56cK7wZRPocfPwV0BCU/A27+C4hyzIxMREZFGwGKxMCwmnNWP3MgTt3Qj0MeLpFN5/Grxl0z5x9ccySo0O0QREakDKkqJyOXhCIBxf4db5oPNG5JXwWs3wokdZkcmIiIijYS3l5X7r2/PxseGMDG2HTarhbV70xk+fyNzViWRp/2mRESuKCpKicjlY7FAv/vg/gQIjobcVFgyErYt1nI+ERERuWjB/t48fVsPVs+4gcFXtcRZ4WbRZ4e46fkN/GvrUcor9NRfEZErgYpSInL5RV0DUzZC11ugogxWPQrvToKSPLMjExERkUakc3gAy+7rz9JJ19IprBnZhWX8ccVuxvz1cz4/kGl2eCIi8hOpKCUidcM3CMb/C0bOBasX7HkfFt0EabvMjkxEREQamSFdwvhkxg08/bPuBPnZ2Z9ewK9f38b9b3zFwcwCs8MTEZFLpKKUiNQdiwViH4JJqyGwNWQfhL/HwY5/aDmfiIiI/Ch2m5WJA6PZ+OgQ7hvUHi+rhcR9GYyc/xnPfLSXM8Xab0pEpLFRUUpE6l6ba+HBz6HzCCgvgQ8fhhVToUxP0hEREZEfp7mfnSdv7caamTcyrGsY5S43S744TNz8TXx2ykJhabnZIYqIyEVSUUpE6odfC/jlchg2GyxW+PbfsHgYZCabHZmIiIg0Qh1bNuP1e6/ln/f3p0t4ALnFTv57xEb/5zYwaek23vzyKGlnSswOU0REvoeKUiJSf6xWuCEeJn4EzSIgMwkWDYHv/mN2ZCIiItJI3dC5JSt/ez1P3xpDiMNNWbmLT5Mz+cP7u7lubiI/+9sm/rLuAHtOnsGt7QNERBoUL7MDEJEmKPp6Yznffx+Awxvhvclw9AsY9Wew+5gdnYiIiDQyXjYrv+rfhuaZu7jq2hvZcOA06/am882xXL47fobvjp9h/rr9RDX3YVhMOHHdwrmuQwscXjazQxcRadJUlBIRczQLg1+/Dxv/Dzb+Gba/ASe2w53LIKSj2dGJiIhII2SxQOewZnRrFcxDN3Uiq6CU9fsyWLc3nc8PZHHyTAn/3HqUf249ir+3jcFdWhIXE86QLmEE+3ubHb6ISJOjopSImMdqgyGzoE1/Y7ZU2i5YdBPc9jfodpvZ0YmIiEgjF9rMwS/6teEX/dpQ4qxg88EsEvZmkJiUTkZ+Kat2pbFqVxpWC/Rr14K4bmHExYTToWUzs0MXEWkSVJQSEfN1GgYPboJ374PULfCfe2DAVBj+DHjpt5YiIiLy0/nYbQztGs7QruG4XD3YffIM6/amk5CUQdKpPLYdyWbbkWzmrNpHh1B/4rqFExcTTp+2QXjZtBWviEhdUFFKRBqGwChjA/T1z8IXf4EvX4Xj2+DONyCordnRiYiIyBXEarXQs3UQPVsHET+iC8dzili/L4OEvelsPXSaQ1mFLPrsEIs+O0Swn50hXY0ZVDde1ZJmDv0TSkTkctH/UUWk4bDZjdlRbWPh/QeNPaYW3gC3vwZdRpkdnYiIiFyhWgf7cU9sNPfERpNf4uTzA1ms25vO+uQMcoqcvLfjBO/tOIG3zcp1HUMYHhPGsJhwooJ8zQ5dRKRRU1FKRBqeLqPhN5/BO/fCyR3w7/Ew6BEY+oTZkYmIiMgVLsDHzpirIxlzdSTlFS62H81hXVI665IyOJxVyGf7M/lsfyZPfLCHbpGBxHULZ3hMOD1aBWKxWMwOX0SkUVFRSkQapuB2cN8aSHgCvlwIX7wEx7bB2NfMjkxERESaCC+blQEdQhjQIYQ/3NyNg5kFrNubzrqkdLYfzWHvqTz2nsrjr4kHCA90MCzGKFDFdgzBx24zO3wRkQZPRSkRabi8vGH0n43lfB9Mh9TNeP19CNEht2BJcoLdB2zexrI/m9343upVecwbbOd8X3XcDlY7WLVhqYiIiPw4HVs2o+PgZvxmcEeyC8v4dF8G65LS2bg/k/S8Ut76MpW3vkzF127jxqtCGRYTztCuYYQ2c5gduohIg9QgilILFizg+eefJy0tjV69evHyyy/Tv3//Ws994403mDRpUrVjDoeDkpKSqtcXmjb7f//3fzz22GMAREdHc/To0Wrvz507l9/97nc/5VZEpC50HwsRV8N/JmJJ30Wvojfg2Bs/rU+rl1GcqlbUstdyzPu847UVus45bj3vuqpimf17+vyeAtq511ttoGUBIiIiDUILf2/G9W3NuL6tKXFWsPXQaRKTjCLVqTMlrNmTzpo96Vgs0KdtMHEx4cTFhNEprJmW+YmIVDK9KLV8+XLi4+NZuHAhAwYM4KWXXmLkyJEkJycTFhZW6zWBgYEkJydXvT7/f+qnTp2q9vqTTz7h/vvvZ9y4cdWOP/PMM0yePLnqdUBAwE+9HRGpKyEd4YEEKj59jtO7EggNbo7VVQ4uJ1Q4oaKs8mvl99WOl9Xsz1VutPLi+r+XS2apVqzysnlzvTsQK4kQeTWEd4ewGPANNjtQERGRJsXHbuOmLmHc1CWMZ27rzp6TeZX7UKWz+0Qe24/msP1oDn9evY92IX6VBapw+kUHY7dp9raINF2mF6XmzZvH5MmTq2Y/LVy4kJUrV7JkyZILzlqyWCxERERcsM/z3/vggw8YMmQIHTp0qHY8ICDge/sRkQbG7otryB/ZUtyHMWPGYLXbL+46txtcFZWFqvOKVxXO2o9fVLHLeeHrL9hvuadQVlFey7nnvO+uOP9GoKLUaIAFCCEdvjkA35xzWmArCOsG4d0grLvxNfQq8NLSARERkbpmsVjo0ao5PVo155G4qzh1prhqBtXmlNMcPV3E65sO8/qmwwT6eDGkaxhxMeEM7tKSQJ+LHNuIiFwhTC1KlZWVsX37dmbNmlV1zGq1EhcXx5YtWy54XUFBAe3atcPlctGnTx/mzJlD9+7daz03PT2dlStXsmzZshrvPffcczz77LO0bduWX/3qV8ycORMvr9pTUlpaSmlpadXrvLw8AJxOJ06n86Lu92Kd7e9y99sYKRcG5cHjp+XCq3KZ3OWNqc64XbUUs5xVhbHy4jz2bFxBrwgvbKeTsWQkYck7DnknjJaS4OnKYoOQTrjDYnC37GZ8DesGzduApXH/hlZ/PjyUC4+6zIXyKyI/RmRzX+6+rh13X9eOwtJyPj+QxbqkdNbvyyC7sIwPdp7kg50n8bJauK5DCMNijCJVmxZ+ZocuIlLnTC1KZWVlUVFRQXh4eLXj4eHh7Nu3r9ZrunTpwpIlS+jZsydnzpzhhRdeYODAgezZs4fWrVvXOH/ZsmUEBARwxx13VDv+29/+lj59+tCiRQs2b97MrFmzOHXqFPPmzav1c+fOncvTTz9d4/jatWvx86ubvzASEhJ++KQmQrkwKA8eykWlFgM5UQYE9IcA8KooIrD4OIElxwksPkZA8XECS47hXVEEWclYspKBFVWXl1t9yPNpRZ5vG/J8W5PnY3x1ejW+5cz6mfBQLjzqIhdFRUWXvU8RaRr8HV6M6hHBqB4RVLjcfJOaQ0JSOolJGaRkFLApJYtNKVk8/dFeukYEEBcTzrCYMHq1DsJq1T5UInLlMX353o8VGxtLbGxs1euBAwcSExPDa6+9xrPPPlvj/CVLljBhwgR8fHyqHY+Pj6/6vmfPnnh7e/Ob3/yGuXPn4nDUXOIya9asatfk5eXRpk0bRowYQWBg4OW4tSpOp5OEhASGDx+O/WKXJ12hlAuD8uChXHhcdC7cbpz5p7Bk7MWSudeYUZWRBKf341VRQouig7QoOlj9kmbhuMO64W4ZU/WV0KvA7lvHd/Xj6WfCQ7nwqMtcnJ0tLSLyU9isFvpFt6BfdAtmjY7hcFYhiUnpJOxN5+ujOexLy2dfWj5/+zSF0GYO4ipnUA3qFIqvd2OZ9i0i8v1MLUqFhoZis9lIT0+vdjw9Pf2i93qy2+307t2blJSUGu99/vnnJCcns3z58h/sZ8CAAZSXl3PkyBG6dOlS432Hw1Frscput9fZwL8u+25slAuD8uChXHhcVC5C2hktZrTnWIUTTh+EjD2Qvhcy9kL6Hsg9iqUgHUtBOhz61HO+xQotOlbfqyqsGwS3B6v5SwD1M+GhXHjURS6UWxGpC+1D/Xnghg48cEMHcovK2JCcSUJSOhuTM8kqKOXtr47x9lfH8LFbub5TKHEx4QyNCSMswOeHOxcRaaBMLUp5e3vTt29fEhMTGTt2LAAul4vExESmT59+UX1UVFSwa9cuxowZU+O9119/nb59+9KrV68f7Gfnzp1YrdYLPvFPROSKY7NDWFej9Tjn6aSl+ZCxr2axqjgbTh8w2t4PPOfb/aBl1/OKVd2hWcv6vycREZErQJCfN2N7t2Js71aUlbv48vBpEpMySNibzoncYtYlZbAuKQOAa9oEGbOouoXTJTygxpPJRUQaMtOX78XHxzNx4kT69etH//79eemllygsLKx6Gt8999xDq1atmDt3LgDPPPMM1113HZ06dSI3N5fnn3+eo0eP8sADD1TrNy8vj3feeYcXX3yxxmdu2bKFL7/8kiFDhhAQEMCWLVuYOXMmd999N8HBepS6iDRxjgBoc63RznK7oSDdKE5l7K0sVu2BzGRwFsHJHUY7l3/LyqcAdvc8DbBlDHhr41YREZGL5e1l5YbOLbmhc0tm39qNfWn5rNubzrp9GXx7LJedle2FtftpHexLXEw4N10VQrnL7MhFRH6Y6UWp8ePHk5mZyZNPPklaWhrXXHMNq1evrtr8PDU1Fes5y0JycnKYPHkyaWlpBAcH07dvXzZv3ky3bt2q9fv222/jdrv55S9/WeMzHQ4Hb7/9Nk899RSlpaW0b9+emTNnVtszSkREzmGxQECE0ToN8xx3VUD2oXOKVZVfsw9DYSYc3mg0T0fQov15xaru0KIDWLU/hoiIyPexWCzERAYSExnIw8M6k5FXQuK+DNbtTWdTShbHc4p5Y/MR3th8BJvFxquHvqBjWDPahzajQ0t/OoT606FlM4L97JpRJSINgulFKYDp06dfcLnehg0bqr2eP38+8+fP/8E+p0yZwpQpU2p9r0+fPmzduvVHxykiIuex2iC0s9G6j/UcLyuEzH3Vl/9l7DUKVdmHjLbvY8/5Xj7Qskv1varCu0OzcKMgJiIiIjWEBfrwy/5t+WX/thSXVbApJcuYRZWUzunCMlIyC0nJLASq7+Hb3NdOh5b+tA/1p2PLZrQP9adDS3+iQ/zxseuXRCJSfxpEUUpERK4w3v7Qqq/RzlWQUXMJYMY+KC+GU98a7Vy+Laov/wvrDmEx4GhWf/ciIiLSCPh62xjeLZzh3cIpLS3jzRWfEH11f47mlHA4q5BDmYUcyizg5JkSzhQ7+SY1l29Sc6v1YbFAVHPfqllV7StnVrUP9adVkC9Wq35RJCKXl4pSIiJSf5qFGa3jEM8xVwXkHKllCeAhY3P1I58b7VxB7aqKVZbQLviX5NTrbYiIiDRkVquFEB+4oXMoQ897YmhxWQVHThtFqsNZBUaxKssoWOWVlHMit5gTucV8fiCr2nXeXlbah/hXzbA6W6zq2NKfID/v+rw9EbmCqCglIiLmstogpKPRuv3Mc9xZXPsSwIJ0yD1qtORVeAFxgPu1142nCPa4w1hOKCIiIjX4etuq9qU6l9vtJruwjENZhRzOLORgVgGHKwtWR08XUlbuIjk9n+T0/Bp9BvvZq4pU5+5d1baFn5YDisj3UlFKREQaJrsvRPU22rkKTxvL/iqX/7nS9sCpnVizkmHDHKNFXA3d7zAKVMHRpoQvIiLSmFgsFkKaOQhp5uDa6BbV3iuvcHEit7hyRpVnhtXhrEJOnSkhp8jJ9qM5bD+ac16f0DrY19hovapg1Yz2Lf2JDPTRckARUVFKREQaGf8QaH+j0YAKp5O1H77DyHbleO37AA5+Cmm7jJb4NET1MWZQdR8LzVubG7uIiEgj5GWz0i7En3Yh/gzpUv29wtLyc5YDGssAz+5hlV9azrHsYo5lF/PZ/sxq1/nYrUSHVN9o/eyywOa+1ZccisiVS0UpERFp9Mq9/HH3GgP97jFmUiV9CHvegyOb4OQOo639A7S5zpg91W0sBISbHbaIiEij5+/wontUc7pHNa923O12k1VQ5ilSnd1sPauA1NNFlDhd7EvLZ19azeWAIf7ete5d1aaFHw4vLQcUuZKoKCUiIlcW/xDoN8lo+elGgWr3e5C6GY5tNdonj0P09UaBKuY24xoRERG5bCwWCy0DHLQMcDCgQ/W/Z8srXBzLKa6x0frhrELS80o5XVjG6cIyvjpSfTmg1QKtg/2qLQPsGOpP+5b+RAT6YLFoOaBIY6OilIiIXLkCwqH/ZKOdOQF7VxgFqhNfe57qt/JR6DDY2IMq5hbwDTY7ahERkSual81K+1BjJtTQrtXfKygt50hWIQfPWQZ4dllgYVkFqdlFpGYXsSG5+nJAX7utxkbr7UP9aROkJwOKNGQqSomISNPQvBXETjNazlHY8z7s/i+kfQcH1xvt45nQaZhRoOoyGnwCf7hfERERuWyaObzo0ao5PVrVXA6YmV/KwfP3rsoqJDW7iGJnBXtP5bH3VF6NPv29bCw+upXWwX60DvatbH60qvw+wEd7WImYRUUpERFpeoLbwfWPGO30QWP21J73IGMv7F9tNJsDOg83Nkm/aiR4+5sdtYiISJNlsVgIC/QhLNCH2I7VlwM6K1ykZhdxuHLPqsNZhVXFq8z8UgrLLew+mcfukzULVgDNfe20CvIUq1oH+1YVrFoH+2njdZE6pKKUiIg0bSEdYfBjRsvYZxSndv8XTqfAvo+NZveDq0YZe1B1Gg52H7OjFhERkUp2m5WOLZvRsWUzoPqDTLLzi3n7o7V06NGPU/llnMgp5nhOMcdzizieU0xukZMzxUarbZYVQIDDq7JIde5Mq8rZVkG+BPnZtZ+VyCVSUUpEROSssK4Q9nu4aRak7aosUL0HuUeN7/e8B94B0PVmo0DVYQh4aa8KERGRhirAx4tW/jAsJgy7veaMp4LS8spCVREncisLVjlFVcWr04Vl5JeWX/BJgQD+3rZqywHPLVi1Dvalhb+3ilYiF6CilIiIyPksFojsabRhs+Hkjsolfu9D3gn47m2j+QQZm6N3vwPaDwab/loVERFpTJo5vOgSEUCXiIBa3y8qqyxa1VKwOp5TTFZBKYVlFSSn55OcXnvRytduq1awahVUfW+r0GYqWknTpdGziIjI97FYoFVfow1/Fo5vMwpUe1dAQTp88y+j+YVCt58ZBap2A8FqMztyERER+Yn8vL3oHB5A5/Dai1YlzopaZ1idnXmVnldKsbOClIwCUjIKau3D4WWtWh7o2dvKs1ywZTMHVquKVnJlUlFKRETkYlmt0PY6o42aC0c3G/tPJX0IRVnw9RKjNYuAbrcZm6S3vta4TkRERK44PnbbOftZ1VTirODUmZJaC1bHc4pJyyuhtNzFocxCDmUW1tqHt80oWp1bsDp3j6uwAB9sKlpJI6WilIiIyKWw2qD9DUYb8wIc3mjsOZX0ERSkwbbXjBbYGrqPNfagiupjzLwSERGRJsHHbqN9qD/tQ2t/im9ZuYu0yqLV2YLV2aWCJ3KKOXWmmLIKF4ezjKcJ1sZusxDZvPblga2CfYkI1ANapOFSUUpEROSnsnlBp2FGu3k+HFxvFKj2rYK847Dlb0YLjjaW9/W4A8J7qEAlIiLSxHl7WWkb4kfbEL9a33dWnC1aFVfOriqqNtvqZG4Jzgo3qdlFpGYX1dqHzWohMtCBj8vG+qJdtAr2IyrIl6ggHyKb+xLV3JdAXy/tayWmUFFKRETkcvLyhi6jjOYsgZQEYw+q/ash5whsmme0kM5Gcar7HcZT/0RERETOY7dZadPCjzYtai9alVe4SM8vrXqC4NkZVsdzje9P5hbjrHBzPLcEsJDy7ala+/HzthHZ3IeoIF8im1cWq4Kqf/V3qHwgl59+qkREROqK3QdibjVaWSHsX2PsQXUgAU4fgI1/NlpYN0+BKqSj2VGLiIhII+Fls9IqyNhvqn/7FjXer3C5ycwv5UhmHis3bCW8fVcyCso4WTnL6tSZYnKKnBSVVXAws5CDF9jXCqC5r71a4er8AlZEcx8cXnrQi/w4KkqJiIjUB29/o/DU4w4oyYPkT4wlfimJkLEX1u+F9X+CyF5Gcar77RDczuyoRUREpBGzWS1ENPchxM9Geks3Y25sj91ur3ZOcVkFp84Uc+pMCSdzja+nzniKVqdyS8gvLedMsZMzxU72peVf8PNCm3kT2dxTtDp/tlVYgAMvmx4AIx4qSomIiNQ3n0DoNd5oxTmQ9LFRoDq0EU59a7R1s40n93W/w9goPTDK7KhFRETkCuTrbaNDy2Z0uMATBAHySpycyi3hZGWRqlrRqrKYVVruIqugjKyCMnadOFNrP1YLhAf6GDOsgnyJqrFU0JcQf2+seppgk6GilIiIiJl8g6HPr41WmAVJHxp7UB3ZBMe/Mtqa30PbWGOWVbfboFmY2VGLiIhIExLoYycwwk6XiIBa33e73eQUOWudaXV2qWB6XgnlLnfl+yWQmltrX942KxHNfaovETyvgNXc166N2a8QKkqJiIg0FP6h0O8+o+Wnwd4PjALVsa2Qutlon/wvRN9gFKhifgZ+NfePEBEREalPFouFFv7etPD3pker5rWeU+Fyk1VQWlW4qq2AlZFfSlmF63ufJgjga7cRGeRDVC0bsmtj9sZF/5VEREQaooAIGPAbo505DntWGEv8TmyHwxuNtvJ/oMNN0GMcdL0ZbLU/mUdERETEbDarhfBAH8IDfeh9gXOcFS7S80qqilYna1kqmF1YRrGzgkOZhRz6no3ZA328ap1pFR5g53SJUSSzX/BqqS8qSomIiDR0zVvDwOlGyz4Me943ClRpuyBlndFs3tg6DKV9cSiWFDuEdoKgtsYTAEVEREQaAbvNSutgP1oHX/gXbSXOCmOGVW4xJ8/9Wrnf1cncYvJLy8krKScvLf8CG7N7Mfe7dbRp4Uf7EH/ahfgTHepHdIg/0SH+RAX5aEP2eqKilIiISGPSoj3cEG+0rBSjOLX7v5C5D+uB1fQEWP4vz/kBkRAcbbSgdp7vg6OhWThYNeASERGRxsPHbqN9qD/tQ/0veE5+ibP6EsFzClcnc4pJzS7EWcEFZ1vZbRbaBPsRHepPu5DKYlWoP9EhfrQK8lXB6jJSUUpERKSxCu0Eg//XaOl7qdj9HunfrSfSUYol9yiU5UP+KaOlbql5vc0Bwe0uULRqB47aNzMVERERacgCfOwE+Ni5KrzmWMbpdPLxylX0HjSEE2fKOJxVyNHThRw5XcSRrEKOZhdRVu7iUFYhh7JqFqy8rBbatPDzFKtC/CoLVv60DlbB6sdSUUpERORKEN4NV4vOfFVwNWPGjMHu5QXFOZBzGHKOVLajnu/PHIeKUsjab7Ta+IVWL1qdW7gKbAU2DSNERESk8bFaoFWQL9EtAxnUKbTaey6Xm1N5JRzNqixUnS7kSFYhR04XcvR0EaXlLg5nFXI4qxDIrHatl9VC62Bf2oUYM7nanVewsqtgVYNGkyIiIlcii8V4Mp9fC2jVt+b7FeWQd/ycgtWR6kWr4mwoyjLaie01r7d6QfM2Fy5a+QYbMYiIiIg0IlarhVZBvrQK8mVgp+rvuVxu0vJKqgpUZ4tVR7KM4lVpuauykFXExv3VC1a2cwtWIX7VCletg/3w9mqaBSsVpURERJoim5enkFSbkjNGkSr3aM3CVe5RqCirnIV1uPbrHc0rC1bnF62iIagNeDku+y2JiIiI1CWr1UJUkC9RQb4M7Fj9PZfLTXp+CUeyijh6upDDpws5WlmsOnK6kBKni6Onizh6uojPzuvXVlkIaxfiV1mo8iwLbHOFF6xUlBIREZGafJpDZE+jnc/lMvapOluoOr9wVZAOpWcg7Tuj1WAxlv+du3/VuYUr/5aaZSUiIiKNitVqIbK5L5HNfYntGFLtPbfbTUZ+adX+VYfPFq6yjBlXxc4KUrOLSM0u4vMDWdX7tUCrYN+qJwOeu/F6mxa+OLxs9Xmbl52KUiIiIvLjWK3QvJXRogfVfL+sCHJTL1y0chYZSwfzjsPRTTWvt/vV3HT93OWB3hd+TLSIiIhIQ2OxWAgP9CE80IfrOtQsWGVWFayKjBlW5ywJLCqr4Fh2Mceyi2stWEUFVRasQv0qi1b+tA81lgT62Bt+wUpFKREREbm8vP0grKvRzud2Q2FW9SJV7hHPflZnjhtFq8wko9XGP6z6zKpzi1YBkWBt+AOwurBgwQKef/550tLS6NWrFy+//DL9+/ev9dw33niDSZMmVTvmcDgoKSmpen3vvfeybNmyaueMHDmS1atXX/7gRUREmiiLxUJYoA9hgT4MqK1gVVBaVaA6Ulm4Ovt9YVkFx3OKOZ5TzKaU8/uFqOa+RIdW7l9VOcuqfag/bVo0nIKVilIiIiJSfywWaNbSaG2urfl+eRmcOXbePlZHjNlW2UeMZYGFGUY7vq3m9TZvaN4GW1A72pe1BsbU5d00GMuXLyc+Pp6FCxcyYMAAXnrpJUaOHElycjJhYWG1XhMYGEhycnLVa0stSyZHjRrF0qVLq147HNoLTEREpL5YLBbCAnwIC/Chf/sW1d5zu91kFZRVezrgkdNFVbOsCkrLOZFbzIncYr5IOX1ev0bBqm0LX5qXWU0dLakoJSIiIg2HlzeEdDRabYpzaj4p8Gw7c8zYgD37INbsgwSEDqu3sM02b948Jk+eXDX7aeHChaxcuZIlS5bwu9/9rtZrLBYLERER39uvw+H4wXNERESk/lksFloGOGgZ4ODa6JoFq9OFZZXFKs9TAs8+MTD/nIJVtyBz4j9LRSkRERFpPHyDjRbVu+Z7FeWQfxJyjlCedZDj+zNpXf8R1ruysjK2b9/OrFmzqo5ZrVbi4uLYsmXLBa8rKCigXbt2uFwu+vTpw5w5c+jevXu1czZs2EBYWBjBwcEMHTqUP/3pT4SEhFygRxEREWkILBYLoc0chDZz0K+WglV2oTHD6mB6Pil7vzUpSoOKUiIiInJlsHlBUFsIaou7dSzZJ1eZHVG9yMrKoqKigvDw8GrHw8PD2bdvX63XdOnShSVLltCzZ0/OnDnDCy+8wMCBA9mzZw+tWxulvFGjRnHHHXfQvn17Dh48yO9//3tGjx7Nli1bsNlq34eitLSU0tLSqtd5eXkAOJ1OnE7n5bjdKmf7u9z9NkbKhUF58FAuPJQLg/LgoVxAoMNKz6gAYlr6kHDKXSe5uNg+VZQSERERaWJiY2OJjY2tej1w4EBiYmJ47bXXePbZZwG46667qt6/+uqr6dmzJx07dmTDhg0MG1b70si5c+fy9NNP1zi+du1a/Pzq5qmJCQkJddJvY6RcGJQHD+XCQ7kwKA8eyoVHXeSiqKjoos5TUUpERESkEQsNDcVms5Genl7teHp6+kXvB2W32+nduzcpKSkXPKdDhw6EhoaSkpJywaLUrFmziI+Pr3qdl5dHmzZtGDFiBIGBgRcVy8VyOp0kJCQwfPhw7Hb7Ze27sVEuDMqDh3LhoVwYlAcP5cKjLnNxdrb0D1FRSkRERKQR8/b2pm/fviQmJjJ27FgAXC4XiYmJTJ8+/aL6qKioYNeuXYwZc+Hn7xw/fpzTp08TGRl5wXMcDketT+iz2+11NvCvy74bG+XCoDx4KBceyoVBefBQLjzqIhcX25/1sn6qiIiIiNS7+Ph4Fi9ezLJly0hKSmLq1KkUFhZWPY3vnnvuqbYR+jPPPMPatWs5dOgQO3bs4O677+bo0aM88MADgLEJ+mOPPcbWrVs5cuQIiYmJ3HbbbXTq1ImRI0eaco8iIiJy5dFMKREREZFGbvz48WRmZvLkk0+SlpbGNddcw+rVq6s2P09NTcVq9fwuMicnh8mTJ5OWlkZwcDB9+/Zl8+bNdOvWDQCbzcZ3333HsmXLyM3NJSoqihEjRvDss8/WOhNKRERE5FKoKCUiIiJyBZg+ffoFl+tt2LCh2uv58+czf/78C/bl6+vLmjVrLmd4IiIiIjU0iOV7CxYsIDo6Gh8fHwYMGMC2bdsueO4bb7yBxWKp1nx8fKqdc++999Y4Z9SoUdXOyc7OZsKECQQGBhIUFMT9999PQUFBndyfiIiIiIiIiIhUZ/pMqeXLlxMfH8/ChQsZMGAAL730EiNHjiQ5OZmwsLBarwkMDCQ5ObnqtcViqXHOqFGjWLp0adXr86eaT5gwgVOnTpGQkIDT6WTSpElMmTKFt9566zLdmYiIiIiIiIiIXIjpRal58+YxefLkqo04Fy5cyMqVK1myZAm/+93var3GYrH84COOHQ7HBc9JSkpi9erVfPXVV/Tr1w+Al19+mTFjxvDCCy8QFRX1E+5IRERERERERER+iKlFqbKyMrZv317taTBWq5W4uDi2bNlywesKCgpo164dLpeLPn36MGfOHLp3717tnA0bNhAWFkZwcDBDhw7lT3/6EyEhIQBs2bKFoKCgqoIUQFxcHFarlS+//JLbb7+9xmeWlpZSWlpa9TovLw8Ap9OJ0+m8tARcwNn+Lne/jZFyYVAePJQLD+XCoDx4KBcedZkL5VdERETk8jC1KJWVlUVFRUXVk2HOCg8PZ9++fbVe06VLF5YsWULPnj05c+YML7zwAgMHDmTPnj20bt0aMJbu3XHHHbRv356DBw/y+9//ntGjR7NlyxZsNhtpaWk1lgZ6eXnRokUL0tLSav3cuXPn8vTTT9c4vnbtWvz8/C7l9n9QQkJCnfTbGCkXBuXBQ7nwUC4MyoOHcuFRF7koKiq67H2KiIiINEWmL9/7sWJjY4mNja16PXDgQGJiYnjttdd49tlnAbjrrruq3r/66qvp2bMnHTt2ZMOGDQwbNuySPnfWrFnEx8dXvc7Ly6NNmzaMGDGCwMDAS7yb2jmdThISEhg+fDh2u/2y9t3YKBcG5cFDufBQLgzKg4dy4VGXuTg7W1pEREREfhpTi1KhoaHYbDbS09OrHU9PT//BPaPOstvt9O7dm5SUlAue06FDB0JDQ0lJSWHYsGFERESQkZFR7Zzy8nKys7Mv+LkOh6PGZulnP7+uBv512Xdjo1wYlAcP5cJDuTAoDx7KhUdd5EK5FREREbk8rGZ+uLe3N3379iUxMbHqmMvlIjExsdpsqO9TUVHBrl27iIyMvOA5x48f5/Tp01XnxMbGkpuby/bt26vOWb9+PS6XiwEDBlzi3YiIiIiIiIiIyMUytSgFEB8fz+LFi1m2bBlJSUlMnTqVwsLCqqfx3XPPPdU2Qn/mmWdYu3Ythw4dYseOHdx9990cPXqUBx54ADA2QX/sscfYunUrR44cITExkdtuu41OnToxcuRIAGJiYhg1ahSTJ09m27ZtfPHFF0yfPp277rpLT94TEREREREREakHpu8pNX78eDIzM3nyySdJS0vjmmuuYfXq1VWbn6empmK1empnOTk5TJ48mbS0NIKDg+nbty+bN2+mW7duANhsNr777juWLVtGbm4uUVFRjBgxgmeffbba8rs333yT6dOnM2zYMKxWK+PGjeOvf/3rRcftdruButlXwul0UlRURF5eXpNfIqBcGJQHD+XCQ7kwKA8eyoVHXebi7N/9Z8cCcmEaL9UP5cKgPHgoFx7KhUF58FAuPBrCeMni1ojqkhw/fpw2bdqYHYaIiIiY5NixY1VP/pXaabwkIiLStP3QeElFqUvkcrk4efIkAQEBWCyWy9r32Sf7HTt27LI/2a+xUS4MyoOHcuGhXBiUBw/lwqMuc+F2u8nPzycqKqrabG6pSeOl+qFcGJQHD+XCQ7kwKA8eyoVHQxgvmb58r7GyWq11/tvRwMDAJv+H5CzlwqA8eCgXHsqFQXnwUC486ioXzZs3v+x9Xok0XqpfyoVBefBQLjyUC4Py4KFceJg5XtKv90REREREREREpN6pKCUiIiIiIiIiIvVORakGyOFwMHv27GpPC2yqlAuD8uChXHgoFwblwUO58FAurnz6b+yhXBiUBw/lwkO5MCgPHsqFR0PIhTY6FxERERERERGReqeZUiIiIiIiIiIiUu9UlBIRERERERERkXqnopSIiIiIiIiIiNQ7FaUaoAULFhAdHY2Pjw8DBgxg27ZtZodU7z777DNuvfVWoqKisFgsrFixwuyQTDF37lyuvfZaAgICCAsLY+zYsSQnJ5sdlileffVVevbsSWBgIIGBgcTGxvLJJ5+YHZbpnnvuOSwWC4888ojZodS7p556CovFUq117drV7LBMceLECe6++25CQkLw9fXl6quv5uuvvzY7rHoXHR1d42fCYrEwbdo0s0OTOqDxksZLZ2m85KHxUu00XtJ46SyNmRreeElFqQZm+fLlxMfHM3v2bHbs2EGvXr0YOXIkGRkZZodWrwoLC+nVqxcLFiwwOxRTbdy4kWnTprF161YSEhJwOp2MGDGCwsJCs0Ord61bt+a5555j+/btfP311wwdOpTbbruNPXv2mB2aab766itee+01evbsaXYopunevTunTp2qaps2bTI7pHqXk5PDoEGDsNvtfPLJJ+zdu5cXX3yR4OBgs0Ord1999VW1n4eEhAQA7rzzTpMjk8tN4yWDxksGjZc8NF6qSeMljZfO0pjJ0ODGS25pUPr37++eNm1a1euKigp3VFSUe+7cuSZGZS7A/f7775sdRoOQkZHhBtwbN240O5QGITg42P33v//d7DBMkZ+f7+7cubM7ISHBPXjwYPeMGTPMDqnezZ49292rVy+zwzDd448/7r7++uvNDqNBmjFjhrtjx45ul8tldihymWm8VJPGSx4aL1Wn8ZLGSxovGTRmqp3Z4yXNlGpAysrK2L59O3FxcVXHrFYrcXFxbNmyxcTIpKE4c+YMAC1atDA5EnNVVFTw9ttvU1hYSGxsrNnhmGLatGncfPPN1f5/0RQdOHCAqKgoOnTowIQJE0hNTTU7pHr34Ycf0q9fP+68807CwsLo3bs3ixcvNjss05WVlfGvf/2L++67D4vFYnY4chlpvCQ/ROMlg8ZLGi+dpfGSQWOmmhrCeElFqQYkKyuLiooKwsPDqx0PDw8nLS3NpKikoXC5XDzyyCMMGjSIHj16mB2OKXbt2kWzZs1wOBw8+OCDvP/++3Tr1s3ssOrd22+/zY4dO5g7d67ZoZhqwIABvPHGG6xevZpXX32Vw4cPc8MNN5Cfn292aPXq0KFDvPrqq3Tu3Jk1a9YwdepUfvvb37Js2TKzQzPVihUryM3N5d577zU7FLnMNF6S76PxksZLZ2m8ZNB4yUNjppoawnjJy7RPFpEfZdq0aezevbvJrgEH6NKlCzt37uTMmTO8++67TJw4kY0bNzapgdaxY8eYMWMGCQkJ+Pj4mB2OqUaPHl31fc+ePRkwYADt2rXjP//5D/fff7+JkdUvl8tFv379mDNnDgC9e/dm9+7dLFy4kIkTJ5ocnXlef/11Ro8eTVRUlNmhiEg90nhJ4yXQeOlcGi95aMxUU0MYL2mmVAMSGhqKzWYjPT292vH09HQiIiJMikoagunTp/Pxxx/z6aef0rp1a7PDMY23tzedOnWib9++zJ07l169evGXv/zF7LDq1fbt28nIyKBPnz54eXnh5eXFxo0b+etf/4qXlxcVFRVmh2iaoKAgrrrqKlJSUswOpV5FRkbW+IdGTExMk52aD3D06FHWrVvHAw88YHYoUgc0XpIL0XjJoPGSxkvfp6mOl0BjpvM1lPGSilINiLe3N3379iUxMbHqmMvlIjExscmuA2/q3G4306dP5/3332f9+vW0b9/e7JAaFJfLRWlpqdlh1Kthw4axa9cudu7cWdX69evHhAkT2LlzJzabzewQTVNQUMDBgweJjIw0O5R6NWjQoBqPPt+/fz/t2rUzKSLzLV26lLCwMG6++WazQ5E6oPGSnE/jpe+n8ZLGS+dqquMl0JjpfA1lvKTlew1MfHw8EydOpF+/fvTv35+XXnqJwsJCJk2aZHZo9aqgoKBa9f7w4cPs3LmTFi1a0LZtWxMjq1/Tpk3jrbfe4oMPPiAgIKBqr4zmzZvj6+trcnT1a9asWYwePZq2bduSn5/PW2+9xYYNG1izZo3ZodWrgICAGntk+Pv7ExIS0uT2znj00Ue59dZbadeuHSdPnmT27NnYbDZ++ctfmh1avZo5cyYDBw5kzpw5/OIXv2Dbtm0sWrSIRYsWmR2aKVwuF0uXLmXixIl4eWmYc6XSeMmg8ZJB4yUPjZcMGi95aLzkoTGTR4MaL5nyzD/5Xi+//LK7bdu2bm9vb3f//v3dW7duNTukevfpp5+6gRpt4sSJZodWr2rLAeBeunSp2aHVu/vuu8/drl07t7e3t7tly5buYcOGudeuXWt2WA1CU33E8fjx492RkZFub29vd6tWrdzjx493p6SkmB2WKT766CN3jx493A6Hw921a1f3okWLzA7JNGvWrHED7uTkZLNDkTqm8ZLGS2dpvOSh8dKFabyk8ZLbrTHTWQ1pvGRxu93u+iuBiYiIiIiIiIiIaE8pERERERERERExgYpSIiIiIiIiIiJS71SUEhERERERERGReqeilIiIiIiIiIiI1DsVpUREREREREREpN6pKCUiIiIiIiIiIvVORSkREREREREREal3KkqJiIiIiIiIiEi9U1FKRKSeWCwWVqxYYXYYIiIiIg2axkwiTYeKUiLSJNx7771YLJYabdSoUWaHJiIiItJgaMwkIvXJy+wARETqy6hRo1i6dGm1Yw6Hw6RoRERERBomjZlEpL5oppSINBkOh4OIiIhqLTg4GDCmib/66quMHj0aX19fOnTowLvvvlvt+l27djF06FB8fX0JCQlhypQpFBQUVDtnyZIldO/eHYfDQWRkJNOnT6/2flZWFrfffjt+fn507tyZDz/8sG5vWkRERORH0phJROqLilIiIpWeeOIJxo0bx7fffsuECRO46667SEpKAqCwsJCRI0cSHBzMV199xTvvvMO6deuqDaBeffVVpk2bxpQpU9i1axcffvghnTp1qvYZTz/9NL/4xS/47rvvGDNmDBMmTCA7O7te71NERETkp9CYSUQuG7eISBMwceJEt81mc/v7+1dr/+///T+32+12A+4HH3yw2jUDBgxwT5061e12u92LFi1yBwcHuwsKCqreX7lypdtqtbrT0tLcbrfbHRUV5f7DH/5wwRgA9x//+Meq1wUFBW7A/cknn1y2+xQRERH5KTRmEpH6pD2lRKTJGDJkCK+++mq1Yy1atKj6PjY2ttp7sbGx7Ny5E4CkpCR69eqFv79/1fuDBg3C5XKRnJyMxWLh5MmTDBs27Htj6NmzZ9X3/v7+BAYGkpGRcam3JCIiInLZacwkIvVFRSkRaTL8/f1rTA2/XHx9fS/qPLvdXu21xWLB5XLVRUgiIiIil0RjJhGpL9pTSkSk0tatW2u8jomJASAmJoZvv/2WwsLCqve/+OILrFYrXbp0ISAggOjoaBITE+s1ZhEREZH6pjGTiFwumiklIk1GaWkpaWlp1Y55eXkRGhoKwDvvvEO/fv24/vrrefPNN9m2bRuvv/46ABMmTGD27NlMnDiRp556iszMTB5++GF+/etfEx4eDsBTTz3Fgw8+SFhYGKNHjyY/P58vvviChx9+uH5vVEREROQn0JhJROqLilIi0mSsXr2ayMjIase6dOnCvn37AOMpL2+//TYPPfQQkZGR/Pvf/6Zbt24A+Pn5sWbNGmbMmMG1116Ln58f48aNY968eVV9TZw4kZKSEubPn8+jjz5KaGgoP//5z+vvBkVEREQuA42ZRKS+WNxut9vsIEREzGaxWHj//fcZO3as2aGIiIiINFgaM4nI5aQ9pUREREREREREpN6pKCUiIiIiIiIiIvVOy/dERERERERERKTeaaaUiIiIiIiIiIjUOxWlRERERERERESk3qkoJSIiIiIiIiIi9U5FKRERERERERERqXcqSomIiIiIiIiISL1TUUpEREREREREROqdilIiIiIiIiIiIlLvVJQSEREREREREZF6p6KUiIiIiIiIiIjUu/8PYWoyXFD/B9wAAAAASUVORK5CYII=\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step\n"]}]},{"cell_type":"code","source":["print(\"Training Full Dataset Strategy\")\n","\n","X_full = pad_sequences(tokenizer.texts_to_sequences(X), maxlen=MAX_LEN)\n","\n","history_full = model.fit(\n"," X_full,\n"," y,\n"," validation_split=0.1,\n"," epochs=32,\n"," initial_epoch=24,\n"," batch_size=64\n",")\n","\n","# ✅ ADD THIS\n","plot_training(history_full, \"Full_Dataset\")\n","\n","preds = model.predict(X_test_seq)\n","\n","acc, bal, prec, rec, spec, f1, auc = evaluate_metrics(y_test, preds)\n","\n","results.append([\"Full Dataset\",32,acc,bal,prec,rec,spec,f1,auc])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":776},"id":"fYK832y9zp51","executionInfo":{"status":"ok","timestamp":1774376580532,"user_tz":-330,"elapsed":63591,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"2d2b2f50-c2b3-4599-f953-49d3d4f78542"},"execution_count":18,"outputs":[{"output_type":"stream","name":"stdout","text":["Training Full Dataset Strategy\n","Epoch 25/32\n","\u001b[1m415/415\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 17ms/step - accuracy: 0.6560 - loss: 0.6144 - val_accuracy: 0.7316 - val_loss: 0.5287\n","Epoch 26/32\n","\u001b[1m415/415\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 16ms/step - accuracy: 0.6707 - loss: 0.5960 - val_accuracy: 0.7475 - val_loss: 0.5021\n","Epoch 27/32\n","\u001b[1m415/415\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 18ms/step - accuracy: 0.6781 - loss: 0.5901 - val_accuracy: 0.7550 - val_loss: 0.4973\n","Epoch 28/32\n","\u001b[1m415/415\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 16ms/step - accuracy: 0.6784 - loss: 0.5879 - val_accuracy: 0.7580 - val_loss: 0.4988\n","Epoch 29/32\n","\u001b[1m415/415\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 18ms/step - accuracy: 0.6810 - loss: 0.5823 - val_accuracy: 0.7367 - val_loss: 0.5208\n","Epoch 30/32\n","\u001b[1m415/415\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 24ms/step - accuracy: 0.6816 - loss: 0.5815 - val_accuracy: 0.7506 - val_loss: 0.5035\n","Epoch 31/32\n","\u001b[1m415/415\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 18ms/step - accuracy: 0.6857 - loss: 0.5751 - val_accuracy: 0.7421 - val_loss: 0.5158\n","Epoch 32/32\n","\u001b[1m415/415\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 16ms/step - accuracy: 0.6897 - loss: 0.5718 - val_accuracy: 0.7533 - val_loss: 0.4977\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 6ms/step\n"]}]},{"cell_type":"code","source":["cols = [\n","\"Strategy\",\"Best Epoch\",\"Accuracy\",\"Balanced Acc\",\n","\"Precision\",\"Recall\",\"Specificity\",\"F1\",\"ROC-AUC\"\n","]\n","\n","results_df = pd.DataFrame(results,columns=cols)\n","\n","results_df.to_csv(base_path+\"/results_tables/final_results.csv\",index=False)\n","\n","results_df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":174},"id":"Dsmqn125z9z6","executionInfo":{"status":"ok","timestamp":1774376586013,"user_tz":-330,"elapsed":710,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"81b70fa0-32e3-4ab3-ba82-adbf0ebff37e"},"execution_count":19,"outputs":[{"output_type":"execute_result","data":{"text/plain":[" Strategy Best Epoch Accuracy Balanced Acc Precision Recall \\\n","0 english 8 0.599638 0.606055 0.555039 0.696498 \n","1 hindi 16 0.540556 0.525303 0.508975 0.310311 \n","2 hinglish 24 0.555129 0.522446 0.760479 0.061770 \n","3 Full Dataset 32 0.699729 0.694392 0.699835 0.619163 \n","\n"," Specificity F1 ROC-AUC \n","0 0.515612 0.617774 0.642565 \n","1 0.740295 0.385557 0.561436 \n","2 0.983122 0.114260 0.603378 \n","3 0.769620 0.657032 0.772924 "],"text/html":["\n","
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StrategyBest EpochAccuracyBalanced AccPrecisionRecallSpecificityF1ROC-AUC
0english80.5996380.6060550.5550390.6964980.5156120.6177740.642565
1hindi160.5405560.5253030.5089750.3103110.7402950.3855570.561436
2hinglish240.5551290.5224460.7604790.0617700.9831220.1142600.603378
3Full Dataset320.6997290.6943920.6998350.6191630.7696200.6570320.772924
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"results_df","summary":"{\n \"name\": \"results_df\",\n \"rows\": 4,\n \"fields\": [\n {\n \"column\": \"Strategy\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"hindi\",\n \"Full Dataset\",\n \"english\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Best Epoch\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 10,\n \"min\": 8,\n \"max\": 32,\n \"num_unique_values\": 4,\n \"samples\": [\n 16,\n 32,\n 8\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.07184913942919237,\n \"min\": 0.5405558065973791,\n \"max\": 0.6997288748305468,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5405558065973791,\n 0.6997288748305468,\n 0.5996384997740624\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Balanced Acc\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.08138332322782038,\n \"min\": 0.5224463954423813,\n \"max\": 0.6943918386445354,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5253033213482408,\n 0.6943918386445354,\n 0.6060549344103499\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Precision\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.1185514026008962,\n \"min\": 0.5089748703629836,\n \"max\": 0.7604790419161677,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.5089748703629836,\n 0.6998350742166025,\n 0.5550387596899224\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Recall\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2923823381798406,\n \"min\": 0.061770428015564205,\n \"max\": 0.6964980544747081,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.3103112840466926,\n 0.6191634241245136,\n 0.6964980544747081\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Specificity\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.1912627227396126,\n \"min\": 0.5156118143459916,\n \"max\": 0.9831223628691983,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.740295358649789,\n 0.769620253164557,\n 0.5156118143459916\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"F1\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2501491085931155,\n \"min\": 0.1142600089968511,\n \"max\": 0.6570322580645162,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.38555673062396134,\n 0.6570322580645162,\n 0.6177739430543572\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ROC-AUC\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.09144337464484197,\n \"min\": 0.561436246080218,\n \"max\": 0.772923695595068,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.561436246080218,\n 0.772923695595068,\n 0.6425651381569226\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":19}]},{"cell_type":"code","source":["predictions_dict = {}\n","\n","strategies = [\"english\",\"hindi\",\"hinglish\"]\n","\n","epoch_start = 1\n","\n","for strategy in strategies:\n","\n"," idx = (lang_train == strategy)\n","\n"," X_lang = X_train_seq[idx]\n"," y_lang = y_train[idx]\n","\n"," model.fit(\n"," X_lang,\n"," y_lang,\n"," validation_data=(X_val_seq, y_val),\n"," epochs=epoch_start+7,\n"," initial_epoch=epoch_start-1,\n"," batch_size=32\n"," )\n","\n"," preds = model.predict(X_test_seq)\n","\n"," predictions_dict[strategy] = preds\n","\n"," epoch_start += 8"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"z2WT-VLyGclL","executionInfo":{"status":"ok","timestamp":1774376938154,"user_tz":-330,"elapsed":104408,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"bcf5d3e7-9945-4fae-92fa-ebf9b6a59a3d"},"execution_count":24,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 29ms/step - accuracy: 0.7534 - loss: 0.4939 - val_accuracy: 0.7031 - val_loss: 0.5750\n","Epoch 2/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 41ms/step - accuracy: 0.7619 - loss: 0.4801 - val_accuracy: 0.6966 - val_loss: 0.5700\n","Epoch 3/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 14ms/step - accuracy: 0.7733 - loss: 0.4629 - val_accuracy: 0.6851 - val_loss: 0.5823\n","Epoch 4/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 19ms/step - accuracy: 0.7818 - loss: 0.4510 - val_accuracy: 0.7031 - val_loss: 0.5722\n","Epoch 5/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 15ms/step - accuracy: 0.7878 - loss: 0.4408 - val_accuracy: 0.6949 - val_loss: 0.5832\n","Epoch 6/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 14ms/step - accuracy: 0.7959 - loss: 0.4301 - val_accuracy: 0.6837 - val_loss: 0.5811\n","Epoch 7/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 18ms/step - accuracy: 0.8000 - loss: 0.4197 - val_accuracy: 0.6895 - val_loss: 0.5826\n","Epoch 8/8\n","\u001b[1m281/281\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 14ms/step - accuracy: 0.8087 - loss: 0.4113 - val_accuracy: 0.6647 - val_loss: 0.6067\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step\n","Epoch 9/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 16ms/step - accuracy: 0.5923 - loss: 0.6760 - val_accuracy: 0.6641 - val_loss: 0.6084\n","Epoch 10/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 22ms/step - accuracy: 0.5918 - loss: 0.6760 - val_accuracy: 0.6708 - val_loss: 0.6041\n","Epoch 11/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 16ms/step - accuracy: 0.5954 - loss: 0.6752 - val_accuracy: 0.6722 - val_loss: 0.5943\n","Epoch 12/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 16ms/step - accuracy: 0.5875 - loss: 0.6753 - val_accuracy: 0.6753 - val_loss: 0.5964\n","Epoch 13/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 15ms/step - accuracy: 0.6012 - loss: 0.6695 - val_accuracy: 0.6803 - val_loss: 0.5966\n","Epoch 14/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 19ms/step - accuracy: 0.5937 - loss: 0.6711 - val_accuracy: 0.6803 - val_loss: 0.5973\n","Epoch 15/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 19ms/step - accuracy: 0.6029 - loss: 0.6691 - val_accuracy: 0.6844 - val_loss: 0.5947\n","Epoch 16/16\n","\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 16ms/step - accuracy: 0.5985 - loss: 0.6671 - val_accuracy: 0.6847 - val_loss: 0.5932\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step\n","Epoch 17/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.7150 - loss: 0.5759 - val_accuracy: 0.6725 - val_loss: 0.5937\n","Epoch 18/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 27ms/step - accuracy: 0.7254 - loss: 0.5540 - val_accuracy: 0.6722 - val_loss: 0.6097\n","Epoch 19/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - accuracy: 0.7293 - loss: 0.5469 - val_accuracy: 0.6664 - val_loss: 0.6224\n","Epoch 20/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - accuracy: 0.7293 - loss: 0.5445 - val_accuracy: 0.6715 - val_loss: 0.6229\n","Epoch 21/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - accuracy: 0.7331 - loss: 0.5363 - val_accuracy: 0.6661 - val_loss: 0.6592\n","Epoch 22/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - accuracy: 0.7348 - loss: 0.5366 - val_accuracy: 0.6614 - val_loss: 0.6595\n","Epoch 23/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - accuracy: 0.7386 - loss: 0.5309 - val_accuracy: 0.6892 - val_loss: 0.6160\n","Epoch 24/24\n","\u001b[1m91/91\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - accuracy: 0.7393 - loss: 0.5271 - val_accuracy: 0.6708 - val_loss: 0.6365\n","\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step\n"]}]},{"cell_type":"code","source":["preds_full = model.predict(X_test_seq)\n","\n","predictions_dict[\"Full_Dataset\"] = preds_full"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"lz9tgLo-G5Si","executionInfo":{"status":"ok","timestamp":1774376955843,"user_tz":-330,"elapsed":4092,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"bef49e38-2575-4e5c-c7b0-2ee1d900bc6d"},"execution_count":25,"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[1m277/277\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 13ms/step\n"]}]},{"cell_type":"code","source":["from sklearn.metrics import confusion_matrix, roc_curve, precision_recall_curve\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","def plot_test_metrics(y_true, y_prob, name):\n","\n"," y_pred = (y_prob > 0.5).astype(int)\n","\n"," plt.figure(figsize=(18,12))\n","\n"," # 1. Confusion Matrix (Blue-White)\n"," plt.subplot(2,2,1)\n"," cm = confusion_matrix(y_true, y_pred)\n","\n"," sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues',\n"," square=True,\n"," linewidths=1,\n"," linecolor='white',\n"," annot_kws={\"size\":14}\n"," )\n","\n"," plt.xlabel(\"Predicted\")\n"," plt.ylabel(\"Actual\")\n"," plt.title(f\"{name} - Confusion Matrix\")\n","\n"," # 2. ROC Curve\n"," plt.subplot(2,2,2)\n"," fpr, tpr, _ = roc_curve(y_true, y_prob)\n"," plt.plot(fpr, tpr)\n"," plt.plot([0,1],[0,1],'--')\n"," plt.xlabel(\"FPR\")\n"," plt.ylabel(\"TPR\")\n"," plt.title(f\"{name} - ROC Curve\")\n","\n"," # 3. Precision-Recall Curve\n"," plt.subplot(2,2,3)\n"," precision, recall, _ = precision_recall_curve(y_true, y_prob)\n"," plt.plot(recall, precision)\n"," plt.xlabel(\"Recall\")\n"," plt.ylabel(\"Precision\")\n"," plt.title(f\"{name} - PR Curve\")\n","\n"," # 4. F1 Curve\n"," plt.subplot(2,2,4)\n"," f1 = 2 * (precision * recall) / (precision + recall + 1e-8)\n"," plt.plot(recall, f1)\n"," plt.xlabel(\"Recall\")\n"," plt.ylabel(\"F1 Score\")\n"," plt.title(f\"{name} - F1 Curve\")\n","\n"," plt.tight_layout()\n","\n"," plt.savefig(base_path + f\"/figures/{name}_all_metrics.png\", dpi=300)\n","\n"," plt.show()"],"metadata":{"id":"0j8whW7rG8g1","executionInfo":{"status":"ok","timestamp":1774376964826,"user_tz":-330,"elapsed":36,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":26,"outputs":[]},{"cell_type":"code","source":["for name, preds in predictions_dict.items():\n"," plot_test_metrics(y_test, preds, name)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"UFRfINzBG-7G","executionInfo":{"status":"ok","timestamp":1774376986838,"user_tz":-330,"elapsed":12053,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"036aa44a-add9-45bc-d4d9-8ef9677b3c2b"},"execution_count":27,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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G95e7WzX9/fU4gf6yM+TryEBAKgK/IvrgtzZcwyocA8MaFWinTRtsA4ey9PxvEJtPZKtyV9vdR67btYqfXxrjHq3qF/VMQEAAAAAqJaKbHY9/f12fbjqoLPvf3f1VJdGdQxMBQBA7UOFyQVZmPEHVInG9XzVpVEd3XRRYy1+oE+JYze9t0ZvLNlrTDAAAAAAAKqRBdtS1eLRH51FP38vN62edDlFPwAADMCMPxfEUp9A1WsS7KtlD/VV7+cXO/uen79Li7anKS3bqr6t68skk2Ka1FWv5sHydrfIbJY83SwGpgYAAAAAwDi/JZ/QsDdWluh7aGAr3dWnuUGJAAAAhT8XxIw/wBiRdX2UNG2wvliTrIlzt0iSNiRnSpI+WZ0sSfp49cES5+yYOlDeHhT/AAAAAAC1y5y1yXr4qy3Otq+HRT/FX6rwIG8DUwEAAJb6dEFmCn+AoW6IaaRRsY3OamybKfP13vIDcjgc2nYkS5sPZVZuOAAAAAAADJRfWKyuTy0sUfR78qp22jZ1IEU/AABcADP+XBBLfQLGe2ZYBz0zrEOp/lxrsX7eeVT3fv6bs++p77frqe+3lxi39tE47UvPVUQdb0XU8an0vAAAAAAAVLaPVyVp8jfbnO17Lmuu++NachM7AAAuhMKfCzKbeLMEuCo/Tzdd1amhBncIU7NH5pU7rvszi5yPO0UG6b0x3RTs51kVEQEAAAAAqFDFNrsmf7NNn69JdvY9d00HDe9+dqvlAACAqkPhzwWxxx/g+ixmk5KmDZbD4dDcDYflkNQ5MlBx05eWGrspJVPdnl6kVqH+WnD/JVUfFgAAAACA85SWXaARb6/W/ow8SVJogKcWxl+qAC93g5MBAICyUPhzQRZm/AHVhslk0jXREc520rTB2nYkS7kFxVpz4LheWrjbeWxXWo4Gzliq+fdR/AMAAAAAuL75W3/XHZ9scLbfGNVVgzqEGZgIAAD8Ewp/LshsNjoBgAvRrmGgJCm2aT3dc3kLLd+ToRvf+1WStDM1R1ETf9DKiZcpLNBLJgr9AAAAAAAXU2yza+LcLfpy/SFJUqC3u74Z30tRwb4GJwMAAP+EEpMLYqlPoGa5uEWwPrk1tkRfz2k/q/Xk+QYlAgAAAACgbL/sTlfzR390Fv1MJmnFxMso+gEAUE1Q+HNBZmYAATXOxS2CteaRy0v0WYvtipr4g5pM+kHvLtuvIpvdoHQAAAAAgNouu6BIl720RGNmr3H23dWnmQ4kDJafJ4uGAQBQXfCvtgtyY8YfUCOFBHgpadpgbT+SrUGvLnP2OxzS0z/s0NM/7FC3xnX0yW2x8nK3GJgUAAAAAFCbbEg+oavfWFmib969vdW2YYBBiQAAwPmi8OeCWOoTqNnaNgzQjqkD1WZK6aU+1x08odaT5yvAy02bnxhgQDoAAAAAQG2x/uAJXfNmyYLfhMtb6P5+LQ1KBAAALhSFPxdkYqlPoMbz9rAoadpgSZLD4VCTSfNKHM8uKNYXa5J1Q0wjI+IBAAAAAGowu92hyd9s1ae/Jjv7+raqr1dHdJG/l7uByQAAwIVijz8AMJjJZFLStMFKmjZYH94S4+yfOHeLHvt6i+x2hyTpZKFNv2ed1LvL9itq4g+a8s1WZZ0sMio2AAAAAKAayrUW65YP15Yo+g3uEKb3xnSn6AcAQA3AjD8AcCGXtqyvGy9qpE9Wn/oA9snqZOfjv/to1UF9tOqgJOmtm6I1oF2DKssJAAAAAKh+Fu88qrEfrHW2B3VooJkju7L6FAAANQiFPwBwMU8P7aCIOj6a9uPOsz7n3x+vdz5+Z3Q39WxWT76e/BUPAAAAADi1xcT//XeT5m447Oz76s4eim5c18BUAACgMvCtMAC4oDsubaYhnRvqoS83K/tkkS5tWV89mwerabCvQgK8JElbDmXpyteXlzp33EfrSrQfGthKY3pEUQgEAAAAgFqooMim//vvJv2w+XdJUpCPu37+vz6q6+thcDIAAFAZ+BYYAFxUWKC3Pr41ttzjHSIClTRtsGb9su+MswOfn79Lz8/fpfdv7q5tR7KUdbJI9/drKR8P/gkAAAAAgJrs7zeMXt01XC9d14mlPQEAqMH41hcAqrk7Lm2mOy5tJknaejhLO1Nz9O6y/dqZmlNi3F/3cXhn2QFd3y1CrRoEKMjbXW4Wky5rHSKb3aEgH+76BAAAFWfmzJl64YUXlJqaqk6dOum1115TTExMmWM/+OADjR07tkSfp6enCgoKqiIqANQYDodD0xfu1ms/73X2fXJrrC5uEWxgKgAAUBUo/AFADdI+PFDtwwN1bXSEsy9q4g9ljv3PukNnfd03RnXVoA5hF5wPAADULnPmzFF8fLxmzZql2NhYzZgxQwMGDNCuXbsUEhJS5jkBAQHatWuXs82sFAA4NwVFNo2evUZrDhyXJHVpFKS3box2bhsBAABqNgp/AFDDHUgYpN+zClTPz0NJGfkaMGPpOV/jrk83qHeLYC3bk6Gf7r9ELUP9KyEpAACoaaZPn65x48Y5Z/HNmjVLP/zwg2bPnq2JEyeWeY7JZFKDBg3O+jmsVqusVquznZ2dfWGhAaAae+aH7Xpn2QFne3CHMM24obPcLWYDUwEAgKpE4Q8AajiTyaSGQd6SpFYN/JU0bbCkU3eBpudYFVHHW4t2HFV9f08dOpGvSV9tUY61WMO7RWrOuhTndZbtyZAk9X/5VOHww1ti1LVRkPw83WQymZRyPF/bjmRrZ2q2br24ify93Kv4lQIAAFdSWFio9evXa9KkSc4+s9msuLg4rVq1qtzzcnNz1bhxY9ntdnXt2lXPPvus2rVrV+74hIQEPfnkkxWaHQCqG5vdoSe+3aaPVx909n0wtrv6tCp7djUAAKi5KPwBQC3l5W5RZF0fSVK/tqGSpM6RQfpXx4bOMc9d21GT5m7W52tSSp0/Zvaacq89Y9GeUn3rH4tTgLc7d5oCAFBLZGRkyGazKTQ0tER/aGiodu7cWeY5rVq10uzZs9WxY0dlZWXpxRdfVM+ePbVt2zZFRESUec6kSZMUHx/vbGdnZysyMrLiXggAuLhjuVZFP72oRN/SB/uqUT0fgxIBAAAjUfgDAJxRwtUdlXB1R0lSkc2u6KcWKrug+Jyv89cPop5uZlmL7Qr281DzED+NiGkks8mk/u1C5elmqbDsAACgeunRo4d69OjhbPfs2VNt2rTRW2+9paeeeqrMczw9PeXp6VlVEQHAZRTb7Br6xgptPXx6ieM3R3XVFezPDgBArUbhDwBw1twtZm1+YoDsdod+PXBcrRr4Ky27QEcyTyqmSV35e7mroMimVxP36L/rD+marhGa9cu+UtexFtslSRm5hcrIPa7V+4+XOP7y8E4a1qXsu/oBAED1EBwcLIvForS0tBL9aWlpZ72Hn7u7u7p06aK9e/dWRkQAqLaOZhco5tnEEn2f3harXs2DDUoEAABcBYU/AMA5M5tN6tGsniSprq+H2oQFOI95uVv00MDWemhga0nSxCta62h2geZt+V1PfLf9rK5//5xNun/OJufMQEm6vluEnrumo0wmUwW/GgAAUBk8PDwUHR2txMREDR06VJJkt9uVmJiou++++6yuYbPZtGXLFg0aNKgSkwJA9fLO0v16Zt4OZ9vP001rHr1cPh58zQcAACj8AQCqQEiAl27u1UQ392pS6pjD4ZDDIW0+nKVn5+3QmgOnZ//9WfSTpP+sO6T/rDskfy83XdS0nsb0iNLFLbibFQAAVxYfH68xY8aoW7duiomJ0YwZM5SXl6exY8dKkkaPHq3w8HAlJCRIkqZOnaqLLrpIzZs3V2Zmpl544QUdPHhQt912m5EvAwBcQpHNrvvmbNQPm3939n11Zw9FN65rYCoAAOBqKPwBAAxlMplkMkmdI4P0n3/30Ne/Hdbj325T1smiMsfnFBRr4fY0Ldx+atmwDZP7qa6vR1VGBgAAZ2n48OFKT0/XlClTlJqaqs6dO2v+/PkKDQ2VJCUnJ8tsNjvHnzhxQuPGjVNqaqrq1Kmj6OhorVy5Um3btjXqJQCAS9ifnqvLXvrF2Y6o461F8ZfKy5090gEAQEkmh8PhMDpEVcrOzlZgYKCysrIUEBDwzydUgU0pmRoyc4WznTRtsIFpAMA1/Wdtih76arPq+nroeF5hmWOeGtJOktSlUR21Dw+syngAABjOFT/rGIHfA4CaxOFw6JH/bdXna5KdfQlXd9CImEYGpgIAAFXtXD7nMOMPAFAtXN89Utd3j5Qk2ewONXtkXqkxk7/ZVqI9dUg7je4RVRXxAAAAAKBC7U7LUf+XlzrbwX4e+s+/e6hpfT8DUwEAAFdn/uchAAC4FovZpKRpg/XZuFgF+biXO27KN9sUNfEHvbxwtxZsS1WxzV7uWAAAAABwFXPWJpco+oUHeWv5w5dR9AMAAP+IGX8AgGqrZ7NgbZzSX9KpJXDyCm3KzC/UI//bqqW7053jXkncU+rcWTdGa2D7BlWWFQAAAAD+SbHNrpHv/Ko1ScedfTNHdtXgjmEGpgIAANUJhT8AQI1gMpnk5+kmP083fXRLjPILi9X/5aU6dOJkmePv+GS9JGlR/KVqHsJdswAAAACMlV9YrHs++81Z9Av0dtevj1wuL3eLwckAAEB1QuEPAFAj+Xi4afnDl0k6ddfstiPZ+uzXZO3PyNXapBPOcXHTf9HKiZepYZC3UVEBAAAA1HJHcwp047u/andariRpbK8oPX5lO4NTAQCA6ojCHwCgxnOzmNUpMkidIoMkSSfyCtXlqYXO4z2n/awhnRuqfcNA3XpxE5nNJoOSAgAAAKht9h7NUdz0U/v5ebmb9eltsYpuXNfgVAAAoLoyGx0AAICqVsfXQwcSBsnP8/T9L99sPKJn5u1Q00fmaejMFbLZHQYmBAAAAFAbrD94XNe8ucrZ/v6eiyn6AQCAC0LhDwBQK5lMJm19coBu6B5Z6tjGlEw1e2SeMvMLDUgGAAAAoDb4YMUBXfPmKmWdLFLnyCBtmNxPzUP8jY4FAACqOZb6BADUatOu6ahp13SUJL2yaI9eXrTbeazz1IUKD/LW9/dcrDq+HkZFBAAAAFBD2O0OfbQqSU98t93Z1z2qjj68JUY+HnxNBwAALhzvKAAA+MOEuBa6q28ztXj0R2ff4cyTJfYDvKJ9Ax3LLVRc2xD9uDVVx3IL1ay+rxbvSpck+XhYZC22q76fp1KzC/TZuFhF1vFRsJ+nvD0sVf6aAAAAALiGtOwCXfbiEuUV2px9V3cN10vXdZLJxD7jAACgYlD4AwDgL9wtZiVNG6yDx/J06QtLSh3/cWuqJGlN0nFnX/LxfOfj/D8+xKdmF0iSRr7zq/PYJ7fGSpLC63irSbCvJMlmdygtu0A7U7O1Yu8xFdvsurlXE+dxAAAAANXfvC2/665PN5Toe/G6Tro2OsKgRAAAoKai8AcAQBka1/NV0rTB2ns0V3d9ul6RdXyUuPOo87iXu1l+nm6KaVJX2SeLlXmyUDkFxWoQ4KUT+YXanZZb6po3vvdrqb6yfLjqoCTJ292ihwa20om8Qnm6W3R113CFBXpXzAsEAAAAUOmKbXYNmLFU+9LznH1f3dlT0Y3rGJgKAADUZBT+AAA4g+Yhfvrp/kvP+3yHw6Gnvt+h2SsOnPO5J4tsevIve3+8sGCXJKmur4dm39xdWSeL9MuudHm5m5V1skhxbUPVt1XIeWcFAAAAUHFSswp0UUJiib7NT/RXgJe7QYkAAEBtQOEPAIBKZDKZNOXKtppyZVvZ7Q7lFBTri7XJCvbz1In8QnWPqqu2DQPkbjFLkvYezVXCvB3KtRbr1wPHVc/XQ8fyCktc83heoYbOXFHquT79NVmSZDGbZLM7Sh3//p6L1SLUT5n5Rarn66Fiu0Ne7uw7CAAAAFS0+VtTdccn653tAe1CNevGaPbyAwAAlY7CHwAAVcRsNinQx13/vrRZuWOah/jpvZu7l+pPyy7QA//dpGV7Mkoda9cwQNuOZDvbZRX9JOlfry0v93mvi47Q89d25IsIAAAA4AJYi2264+P1Wrwr3dn36W2x6tU82MBUAACgNqHwBwBANRAa4KWPb42VJJ34YwZgHV+PEmM+WpWkwmK7vD0s2pOWqzZh/jpZaNPLi/Yo62TRGa//3/WHNH9bqnq3CFZMVF1tTMnU1xuPqI6Pu07knzq3eYifukfV1febjqhVA3+N7hmlThGBalzPtxJeMQAAAFC9bD2cVepmuw2T+6nu3963AwAAVCYKfwAAVDN/L/j9aXSPqDL7b+7VRNZim9YfPKHG9XxVz9dDScfylJVfpOV7M/Taz3slSTkFxZq3JVXztqQ6z/2z6CedWoZ079FcSdK6gye07uCJM+b093RTjrVYkvS/u3qqU0SQzGZmFAIAAKBmyS8sVpepC2Uttjv7brqosaYOaceKGgAAoMpR+AMAoBbwdLOoZ7PTywu1bhAgSYptWk99W4do4lebtTstV2aT1KdViHKtxbLbHQqv461vNh6RJDUM9FJIgJc2pmSe1XP+WfSTpGFvrHQ+/s+/eyimSd0KeFUAAACAsdYcOK7r31pVou+L2y/SRU3rGZQIAADUdhT+AACo5bo2qqOf7r+03OOv3NClzH673aHdR3OUkVOo4/mF8vWwKOHHnQr289Dgjg2VnmPVq4l7Sp339y9G1j8Wp3p+nhf2IgAAAIAqNvnrrfp49UFn+/LWIXpndDdWuQAAAIai8AcAAM6L2Ww6NXOwwem+y9uElhgT36+lJCkj16onv9uu7zYdKXWd6KcXadlDfRVZ16dS8wIAAAAVochm160frtPS3enOvl8fuVyhAV4GpgIAADjFbHQAAABQ8wX7eeq1EV20/rE4xTapq6s6NSxxvPfzi3U486RB6QAAAICzc7LQpts/Ol30axMWoL3PXEHRDwAAuAwKfwAAoMrU8/PUnH/30Ksjuihp2mD1bVXfeazXtJ81f2uqgekAAACA8u1Oy1GbKfO1eFe6vNzNmn59J/04obfcLHy9BgAAXAdLfbqYJsG+RkcAAKDKvD82Rpc8v1jJx/MlSXd8st557PWRXfSvjg3LOxUAAACoMkt2HdXN7691tj+5NVbdouoamAgAAKBsFP5cTMLVHYyOAABAlVr6UF/d/tE6/bQ9rUT/3Z/9prs/+83ZjmsTqlk3duWOagAAAFSp7zYd0T2fn35fuvD+S9Qi1N/ARAAAAOWj8OdiLGaT0REAAKhyb4/uJmuxTe+vSNK0H3eWOWbRjjQ1f/RHxUTV1U09GuvSVvUV4OVexUkBAABQmzz+zVZ9uOqgpFM3or0xqqs83LgRDQAAuC4KfwAAwCV4ull0x6XNdMelzVRQZNPHqw5q9f5jqufnof+sO+QctybpuNYkHS9xbv+2oXrzxmiZJJlMksnEjTQAAAA4fycLber61EKdLLJJkoZ1CdeL13Xihm0AAODyKPy5GN4+AgAgeblbNO6Sphp3SVNJ0vPXdtJ/16XowS83lzn+p+1pavbIvBJ9Qzs31IvXdZLJZJLZJOVai+X/lxmCDoeDAiEAAABKWbQ9Tbd9tM7Z7t0iWNOv78R7RwAAUC1Q+AMAANXCdd0idV23SElSfmGxftqWpiW7jurrjUfKHP/1xiPlHvu7bo3raN3BE5IkDzezdkwdqKyTRarj484XPAAAALXIgm2p+vfH653t/+vXUvdc3sLARAAAAOeGwp+L4btFAAD+mY+Hm4Z2CdfQLuGacUMXpWUXaFNKpiLr+ujDlUn6Ym3KOV3vz6KfJBUW20vNHpSk5iF+evWGLmoT5k8xEAAAoAaa/tMuvfrzXmf7u7svVoeIQAMTAQAAnDsKfy6HLxIBADhXoQFe6t+ugSRp2jUdNe2ajiqy2bX3aK6SMvIUXsdb+9PztOlQptqEBahxXR9tPZKtVxbt1g0xjWQ2meTpZtYriXvKfY69R3M16NVlzvaL13VSv7ahCvR2L/ccAAAAuD6Hw6HXf97rLPr1bxuqN0Z1lZvFbHAyAACAc0fhDwAA1EjuFrPahAWoTViAJKljRJCGdgl3Ho9tWk+3XtykxDn392upY7lWncgvVHpOoU7kF2rZngx9via51PUf+O8mSdLwbpGadk0HZgECAABUQza7Q1e/uVKbUjIlSV0aBemtm6J5bwcAAKotCn8uhveVAAAYq56fp+r5eap5yKn2oA5hSri6gxwOhw5k5Omyl34pMX7OuhTNWXd6adGtTw6Qr4eFL4sAAABcXJHNrvj/bHIW/R4d1EbjLmlqbCgAAIALROEPAADgLJhMJjWt76ekaYMlSUt3p2v07DWlxrV/fIHz8R2XNtPEK1pXWUYAAACcnayTReo17WflWoslSf++pClFPwAAUCNQ+HMxzA0AAKB6uKRlfSVNG6wjmSeVdCxPI9/5tdSYWb/s06xf9qllqJ/eGBWt5iF+BiQFAADAX/2w+XeN/2yDs/3+zd3Vt3WIgYkAAAAqDoU/F8OyYAAAVC8Ng7zVMMhbSdMGKyu/SAeP52nbkWxNmrvFOWZ3Wq7ipp9eIvTZYR00MraREXEBAABqtU9WH9RjX291tj+9LVa9mgcbmAgAAKBiUfgDAACoIIE+7uroE6SOEUEaEdNIryzao5cX7S417pH/bdG7y/ZrQPsGuqpTQ7UJCzAgLQAAQO2RmV+ozlMXluhbeP8lahHqb1AiAACAykHhz8Uw3w8AgJpjQlwLTYhrIelUsS/leL6W7cmQJO3PyNObS/bpzSX7nOOHd4vUmJ5RatuQQiAAAEBF2ZmarYEzljnbI2Ia6dlh7Vl1CQAA1EgU/gAAAKrAs8M6SJLeXLJPz83fWeaYOetSNGddirO95pHLFRLgVSX5AAAAaqIF21L174/XO9uPDW6j23o3NTARAABA5aLw52K42QwAgJrtzj7NdGefZpKkg8fy9OCXm7XmwPEyx8Y8myhJ+uy2WPVk7xkAAIBz8v3mI7r7s9+c7cUP9FGTYF8DEwEAAFQ+Cn8uxsRinwAA1BqN6/nqP//u4Wz/nnVSs5cf0DvLDpQYN/LdXyVJW57oL38v9yrNCAAAUB09/OVm50oKvVsEa/bN3eVuMRucCgAAoPJR+AMAAHARYYHeenRwWz06uK3mrE3Ww19tKXG8wxM/ycNiVkyTukq4uoMi6/oYlBQAAMA1Fdns6jXtZx3NsUqSru8WoYSrO8pi5kZrAABQO1D4czEs9QkAACRpePdGGt69kRwOh5pMmufsL7TZtXxvhno/v9jZ1z48QB/fEqs6vh5GRAUAAHAJRTa77v5sg7Po17NZPU27uqPMFP0AAEAtQuEPAADAhZlMJiVNG6zXEvfopYW7yxyz9XC2ujy10Nmef19vtW4QUFURAQAADFdks+vez3/Tgm1pkqSxvaL0+JXtDE4FAABQ9Sj8AQAAVAP3XN5C91zewtl+d9l+Jfy4Uza7o9TYgTOWaUC7UL11U7eqjAgAAGCIk4U2XfLCYqXnWOVhMeutm6LVt3WI0bEAAAAMQeHPxbDUJwAAOBu39W6q23o3lSRlFxTp3WUH9GriHufxBdvSFDXxB2e7f9tQvTqii7zcLVWeFQAAoLLkFxZr2MyVSv9jeU+KfgAAoLYzGx0AAAAAFybAy13x/VoqadpgrXn08jLH/LQ9Ta0nz9eN7/4qh6P0LEEAAIDqJjO/UG2nLNCutBxJ0tsU/QAAAJjx52pMYsofAAA4fyH+Xtr37CDtTM3WwWP5ejVxj3am5jiPL9+boSaT5kmSBrZroOHdI9U6zF9hgd5GRQYAADhnx3Kt6vviEmf7qzt7KLpxXeMCAQAAuAgKfy6GpT4BAMCFsphNatcwUO0aBmpQhzBJ0vYj2Rr06rIS4+ZvS9X8banO9lND2unGixrLxBsSAADgwg6dyNfFzy12tj+6JYaiHwAAwB8o/AEAANQCbRsGKGnaYOVai/Xaz3v01i/7S42Z/M02Tf5mm7O9Y+pAeXuwJyAAAHAd65KO69pZq5ztn//vUjWt72dgIgAAANdC4c/FcIM9AACoTH6ebpp0RRtNuqKNJKnYZteQmSu07Uh2qbFtpsyXJAV6u6t3i2DdfVlz+Xq46UR+odqGBcjNwnbRAACg6uxKzSlR9Fv8QB81CfY1MBEAAIDrMfzbmpkzZyoqKkpeXl6KjY3VmjVrzjg+MzNT48ePV1hYmDw9PdWyZUvNmzevitICAADULG4Ws364t7eSpg3W4gf66N7Lmpcak3WySN9v/l0DZyxT7+cX66rXV6j5oz/qlg/Wav3B4wakBgAAtc2CbakaMGOps7320TiKfgAAAGUwdMbfnDlzFB8fr1mzZik2NlYzZszQgAEDtGvXLoWEhJQaX1hYqH79+ikkJERffvmlwsPDdfDgQQUFBVV9+EpiElP+AACAMZoE+yq+fyvF92+lE3mFenf5fn276YhSjp8sc/zPO4/q551Hne17L2+h2y9pKj9PFpUAAAAVZ/X+Y/r3x+slST4eFq2aeLkCfdwNTgUAAOCaTA6Hw2HUk8fGxqp79+56/fXXJUl2u12RkZG65557NHHixFLjZ82apRdeeEE7d+6Uu/vZvcGzWq2yWq3OdnZ2tiIjI5WVlaWAgICKeSEXaFNKpobMXCFJ+un+S9Qy1N/gRAAAAKX9+bbxtZ/3avrC3Wcc2zEiUB4Ws0wmaVNKlh4c0EqdIoPUPjxAPh4UBoHKkJ2drcDAQJf6rGMEfg9AzbL+4HHd9N4a5RfaJEkbJvdTXV8Pg1MBAABUrXP5nGPYty6FhYVav369Jk2a5Owzm82Ki4vTqlWryjzn22+/VY8ePTR+/Hh98803ql+/vkaOHKmHH35YFoulzHMSEhL05JNPVsprAAAAqE1Mf2xGfO/lLXTv5S0kSYk70vTNxiP6dtOREmM3H8oq0X5m3o5S13t0UBv1bxeqxvVYpgsAAJS2KSVTN89eq/xCmy5uHqx3x3STl3vZ3/8AAADgFMP2+MvIyJDNZlNoaGiJ/tDQUKWmppZ5zv79+/Xll1/KZrNp3rx5mjx5sl566SU9/fTT5T7PpEmTlJWV5fxJSUmp0NdR0VjoEwAAVCeXtwnVqyO6KGnaYC28/xJ5u1tUz9dDLUL8NLZXlNo1LP8utGfm7dClLyxR1MQf9MvudBUU2aowOQAAcGU/bUvVkJkrlGMtVkyTunpnNEU/AACAs1Gt1lmy2+0KCQnR22+/LYvFoujoaB0+fFgvvPCCHn/88TLP8fT0lKenZxUnBQAAqH1ahPprx1MDyz2eU1CkLYez9OaSfVq2J6PEsTGz1zgf92xWT76ebmoS7KsO4YG6qGk91ffn/RwAALXFhuQTuv2PPf2a1ffV7Ju7y9uDoh8AAMDZMKzwFxwcLIvForS0tBL9aWlpatCgQZnnhIWFyd3dvcSynm3atFFqaqoKCwvl4VH913g3MeUPAADUUP5e7urZLFg9mwVLkk4W2hT99ELnnj1/Wrnv2Bmv07tFsGaO6qoAr7Pb8xkAAFQf8f/ZqLkbDjvb/xvfS36e1eq+dQAAAEMZttSnh4eHoqOjlZiY6Oyz2+1KTExUjx49yjynV69e2rt3r+x2u7Nv9+7dCgsLqxFFv1Oo/AEAgNrB28Oi7VMHKmnaYO1/dpCeGtJOgd7/XMxbtidDHZ/4SVETf1DnqT/plg/Wqthm/8fzABhj5syZioqKkpeXl2JjY7VmzZp/PknSF198IZPJpKFDh1ZuQAAuweFw6Ia3VzmLfuFB3to+dQA3+gAAAJwjQ2+Zio+P15gxY9StWzfFxMRoxowZysvL09ixYyVJo0ePVnh4uBISEiRJd955p15//XVNmDBB99xzj/bs2aNnn31W9957r5EvAwAAABfIbDbpph5RuqlHVIl+h8OhLYeztC89V1+uP6QVe0vOBszML9LPO4+q+aM/SpI6Rwbp4YGt1S2qjtwtht3jBuAPc+bMUXx8vGbNmqXY2FjNmDFDAwYM0K5duxQSElLueUlJSXrggQfUu3fvKkwLwChFNrtueu9Xrd5/3Nm3MP4S+Xgw0w8AAOBcGfoOavjw4UpPT9eUKVOUmpqqzp07a/78+QoNDZUkJScny2w+/YVNZGSkFixYoPvvv18dO3ZUeHi4JkyYoIcfftiol1DhWOoTAADgNJPJpI4RQeoYEaRhXSIkSRm5Vv1nXYp+3JKqLYezSozfmJKpEe+sdrZbhfrr49tiFOLvVaW5AZwyffp0jRs3znlz56xZs/TDDz9o9uzZmjhxYpnn2Gw2jRo1Sk8++aSWLVumzMzMMz6H1WqV1Wp1trOzsyssP4DKZ7M7FP+fTc6i3/BukXru2o4GpwIAAKi+TA6Hw2F0iKqUnZ2twMBAZWVlKSAgwOg4kqRNKZkaMnOFJCnx/y5Vs/p+BicCAACoPpKP5evJ77YpcefRfxw7pHND9W5RXy1C/NQxIlAm7rpCDeJqn3UKCwvl4+OjL7/8ssRynWPGjFFmZqa++eabMs97/PHHtXnzZv3vf//TzTffrMzMTH399dflPs8TTzyhJ598slS/q/weAJSv2GZX35eWKOX4SblbTHpzVLTi2oYaHQsAAMDlnMvnPdZMcDF89QQAAHBuGtXz0Xs3d3e2M3Ktevr77fp645FSY7/ZeETflNGfNG1wpWYEaqOMjAzZbDbnii5/Cg0N1c6dO8s8Z/ny5Xrvvfe0cePGs36eSZMmKT4+3tnOzs5WZGTkeWUGUHVsdofGfrBWKcdPSpJeG9GFoh8AAEAFYOMTF8Nd5wAAABcm2M9TM27ooqRpg5U0bbAeHNDqH8+JmviD8guLqyAdgPLk5OTopptu0jvvvKPg4OCzPs/T01MBAQElfgC4tmKbXXHTf9GyPRmSpKeHttfA9mEGpwIAAKgZmPEHAACAGm183+Ya37d5ib7NhzK1/uAJPfnddmdf2ykLJEn3Xt5C43o3kb+Xe5XmBGqa4OBgWSwWpaWllehPS0tTgwYNSo3ft2+fkpKSdOWVVzr77Ha7JMnNzU27du1Ss2bNKjc0gEpXZLPr+rdW6UBGniTp9ZFd9K+ODQ1OBQAAUHNQ+HMxzPcDAACofB0jgtQxIkhjezVRs0fmyWY/ve31q4l79GriHklSfL+WGhnbSHa7Q/mFNtkcDjUN9mWVBuAseHh4KDo6WomJic49/ux2uxITE3X33XeXGt+6dWtt2bKlRN9jjz2mnJwcvfLKKyzfCdQAudZixTyzSPmFNknSU0PaUfQDAACoYBT+AAAAUKvte3aQ1h88oRvf/VUni2wljk1fuFvTF+4udc77N3dX39YhVRURqLbi4+M1ZswYdevWTTExMZoxY4by8vI0duxYSdLo0aMVHh6uhIQEeXl5qX379iXODwoKkqRS/QCqn4Iim277cK2z6PfWTdEa0K707F8AAABcGAp/LoabxwEAAKpedOM62vHUQEnSkcyTuum9X7UvPa/c8WM/WCvp1LKgV3UKU/MQ/yrJCVQ3w4cPV3p6uqZMmaLU1FR17txZ8+fPV2hoqCQpOTlZZjNbzwM1XX5hsS5/6Rf9nlUgL3ez3h3dXRe3OPu9PAEAAHD2TA6Hw/HPw2qO7OxsBQYGKisry2U2fd+UkqkhM1dIkpY+2FeN6vkYnAgAAADSqX2Iimx2WcwmuZnN+nxNsh77emu5478Z30sdwgNlNnM3F6qeK37WMQK/B8C1HM0uUMyzic72f+/ooe5RdQ1MBAAAUP2cy+ccZvwBAAAA5XC3mOVuOT0b6caLGmtUbCM9/cMOvbf8QKnxf97M9acp/2qrURc1kqebpdKzAgDgarLyi9TnxSXO9ke3xFD0AwAAqGQU/lwMS30CAAC4NpPJpMn/aqvJ/2orh8OhTYeyNPRvBb8/Tf1+u6Z+v71U/ye3xrLEGQCgRkvNKtBFCadn+v3vrp7q0qiOgYkAAABqBwp/AAAAwHkymUzqHBmkpGmDJUm51mIl7kjThC82nvG8G9/71fmYJc8AADVNyvF89X5+sbM9/77eat2ApXcBAACqAoU/AAAAoIL4ebppSOdwDekcLunUbIf96bnKyCtUYbFd7yzdr11pOSXOuW7WKufjOj7uen9sjDpHBlVlbAAAKsy+9Fxd/tIvzvbcu3pS9AMAAKhCFP5cDEt9AgAA1BwNAr3UINDL2b42OkIOh0OLdhzV+M82qLDYXmL8ifyiEsuG3tA9UoM6hOmSlvWrLDMgScXFxVqyZIn27dunkSNHyt/fX0eOHFFAQID8/PyMjgfARa3cl6GR75ye1f7Lg33UuJ6vgYkAAABqHwp/AAAAQBUymUzq1zZUu5++QinH8/VK4h4lZeRpffIJORwlx36xNkVfrE2RJH12W6x6NmdfQFS+gwcPauDAgUpOTpbValW/fv3k7++v5557TlarVbNmzTI6IgAXtHjXUY19f62zvWrSZQoL9DYwEQAAQO10XoU/m82mDz74QImJiTp69Kjs9pJ3Kv/8888VEq42MjHlDwAAoNaIrOujF6/r5GwXFNn0/ookPTd/Z6mxI9/9tVRf58ggfTC2u4J8PCo1J2qXCRMmqFu3btq0aZPq1avn7B82bJjGjRtnYDIArmrzocwSRb81j16uEH+vM5wBAACAynJehb8JEybogw8+0ODBg9W+fXuKVQAAAEAF8HK36M4+zXRnn2aSpFxrsdo/vqDc8RtTMtV56kJJkofFrOu7R6hTRJCiG9dRwyBveblbSow/kVeo/Rm52peep/3pedqfnqvV+48pu6BY98e11L2XN+e9PbRs2TKtXLlSHh4lC8pRUVE6fPiwQakAuKpdqTkaPXuNs73p8f4K9HY3MBEAAEDtdl6Fvy+++EL/+c9/NGjQoIrOU+vxNQsAAAD+5OfppqRpgyVJe4/matuRLPl7uWlXam6pWYGFNrs+WZ2sT5Rcov+66AjtzzhV5DuRX1Tuc728aLdeXrRbFzcP1is3dFY9P8+Kf0GoFux2u2w2W6n+Q4cOyd/f34BEAFzVsj3puum9U0W/TpFB+vS2WPl5sqsMAACAkc7r3ZiHh4eaN29e0VkgiRusAQAAUJbmIX5qHuInSbqsdaju7NNM6TlWPT9/p/67/lC55/39WMNALzWt76em9X0VVc9XU7/fXuL48r0Zin56kSSpb6v6enl4Z5YSrWX69++vGTNm6O2335Z0ajuC3NxcPf7449z8CcBp86FMZ9FPkj4c252iHwAAgAswORwOx7me9NJLL2n//v16/fXXq91SQNnZ2QoMDFRWVpYCAgKMjiNJ2pSSqSEzV0hi82sAAABcuMz8Qt3+8Xo1DPRSk+BTRb6m9X3VJNhXPh6lv5S12x36cWuqxn+2odxrNg32lZe7RYHe7mrbMEBuZpNCA7zk7maWl5tZ/+rYUN4elnLPR+WrqM86KSkpGjhwoBwOh/bs2aNu3bppz549Cg4O1tKlSxUSElKBqSueK37mA2qa7UeyNfztVcopKJYkbX6ivwK8WN4TAACgspzL55zzKvwNGzZMixcvVt26ddWuXTu5u5d8czd37txzvWSVccUPgX8t/K2edLkaBLIBNgAAAIyRZy3WCwt26YOVSed1fh0fd/VsFix/LzcV2Rwa3aOxOoQHymyuXjcMVkcV+VmnuLhYc+bM0aZNm5Sbm6uuXbtq1KhR8vZ2/ZsUXfEzH1CTJGXkqc+LSyRJnSIC9em4i5jpBwAAUMnO5XPOeb0zCwoK0rBhw84rHM6smk2gBAAAQA3j6+mmJ65qpyeuaie73aEv1x/Sj1t/V0ZuoQqKbLI7HNqXnieTSSrrFsIT+UX6YcvvzvZXG04vNRrduI5m39xdAV5u1W7lkNqiqKhIrVu31vfff69Ro0Zp1KhRRkcC4ELSc6waPfv08p4fjI2h6AcAAOBizuvd2fvvv1/ROQAAAAC4GLPZpOu7R+r67pFnHLdsT7oWbEvVmgPHlZlfJJNJSsu2lhq3/uAJdXrypxJ9I2Mb6dlhHSo0N86fu7u7CgoKjI4BwAXlWos19oM1Sj6er8i63vrqzp6q48sesAAAAK7mgm7LSk9P165duyRJrVq1Uv369SskVG3Gfc8AAACobnq3qK/eLcr+LHA486SGvL5cGbmFZR7/7NdkffZrsrN9UdO66hQRpEtb1VfPZsGVkhdnNn78eD333HN699135ebGTB4AkrXYpn9/vE5bD2ernq+HProlViH+bFMCAADgis7rU1xeXp7uueceffTRR7Lb7ZIki8Wi0aNH67XXXpOPj0+FhgQAAABQPYUHeWvdY/0kSTa7QynH87U/I1c7U3P0/Pxdpcav3n9cq/cf11tL90s6tTzo5kOZahLsqz6tQjTpitYsE1rJ1q5dq8TERP3000/q0KGDfH19Sxx35T3dAVS8giKbWk+eL0lyt5j0/tjuahLs+w9nAQAAwCjnVfiLj4/XL7/8ou+++069evWSJC1fvlz33nuv/u///k9vvvlmhYasVfgOAwAAADWUxWxSVLCvooJ9dVnrUN15aTP9d/0hFdsc+nBlknal5ZQ6Z/3BE5Kk3Wm52p2Wq7f/KAiGB3lr6UN9ZTHzBrqiBQUF6ZprrjE6BgAXkF9YrOinFjnbb90UrY4RQcYFAgAAwD8yORwOx7meFBwcrC+//FJ9+vQp0b948WJdf/31Sk9Pr6h8FS47O1uBgYHKyspSQECA0XEkSZtSMjVk5gpJ0tpH41Tf39PgRAAAAIBxHA6Hps3fqV2pOUrNKlBogJd+2X12nzF6Nqun567pqIg63rVuZqArftYxAr8HoGLkWovV/vEFzvbUIe00ukeUcYEAAABqsXP5nHNeM/7y8/MVGhpaqj8kJET5+fnnc0kAAAAAkCSZTCZNuqJNqf6cgiKN/+w3LT1DEXDlvmPq/fxiSZK/l5s2TunPrMDzxJ7uQO1VUGTTLR+sdbbn3tVTXRvVMTARAAAAztZ5Ff569Oihxx9/XB999JG8vE5t5nzy5Ek9+eST6tGjR4UGrG1q2U3JAAAAwFnz93LXR7fESJIOncjXvvQ8ncgr1Jqk4/rs1+RS43MKitXskXmSpGb1fZX4f32qMm61xZ7uQO1WZLOrzwtLlJpdIEl6d3Q3in4AAADVyHkV/l555RUNGDBAERER6tSpkyRp06ZN8vLy0oIFC/7hbPzdOa+1CgAAANRyEXV8FFHnVAFqaJdwPTusg6RTy4R+u+mIJnyxscT4fel5ipr4gyTptRFddGWnhlWatzphT3eg9nI4HJo0d4uz6PfxrTHq3YLZvgAAANXJee3xJ51a7vPTTz/Vzp07JUlt2rTRqFGj5O3tXaEBK5or7vfwW/IJDXtjpSRp/WNxqufHHn8AAADAhTqceVKbUzJ156cbyjyeNG1wFSeqXBX1Wac67+kuueZnPqC6eOmnXXrt572SpBnDO2tol3CDEwEAAECqgj3+JMnHx0fjxo0739NRDhNrfQIAAAAVIjzIW+FB3jqQMEh7jubqk9UH9dGqg87jURN/0IGEQbwH/xv2dAdqp6e/3653lx+QJE27ugNFPwAAgGrqrAt/3377ra644gq5u7vr22+/PePYq6666oKD1SYs9QkAAABUHpPJpJah/po6pL3G9mqivi8ucR5rMunUHoDMbDmNPd2B2uer9YecRb/74lrohphGBicCAADA+TrrpT7NZrNSU1MVEhIis9lc/gVNJtlstgoLWNFccdmXDckndPUfS33+Nrmf6vh6GJwIAAAAqLkcDoez4Pd33RrX0Rs3dlWIv1cVp7pwFfVZZ+vWrRowYICsVmuZe7q3a9euoiJXClf8zAe4sjUHjmvEO6tlszvUKTJIX9/Vk5nQAAAALqZSlvq02+1lPsaFO79dFgEAAACcD5PJpKRpg3U486RGvL1aycdPL1+57uAJxTyTKEnqHBmkr+7sKYu5dn0B3r59e+3Zs6fEnu4jRoyoFnu6Azg3e9JyNO6jdbLZHRrQLlRvjIqm6AcAAFDNnfcef3+XmZmpoKCgirpcLXO68sf7awAAAKBqhAd5a+lDfVVks2vKN9v0+ZrkEsc3pmSq2SPzdO9lzRXfv5VBKY3Bnu5AzZd8LF/9Xl4qSerSKEgzhnepdTc6AAAA1ETlr9l5Bs8995zmzJnjbF933XWqW7euwsPDtWnTpgoLVxuZxJtsAAAAoCq5W8xKuLqDkqYN1q6nB+rGi0rubfXqz3t1ljsk1AgJCQmaPXt2qf7Zs2frueeeMyARgIp2PK9QI95Z7Wy/O7qbvD0sBiYCAABARTmvwt+sWbMUGRkpSVq4cKEWLVqk+fPn64orrtCDDz5YoQFrg1r0HQIAAADg0jzdLHp66KkiYMLVHZz9n6w+aGCqqvXWW2+pdevWpfrbtWunWbNmGZAIQEU6WWjTLR+s1eHMkwrx99SqSZepnp+n0bEAAABQQc6r8Jeamuos/H3//fe6/vrr1b9/fz300ENau3ZthQasdZjwBwAAALiEETGnZ/5N/mabgUmqVmpqqsLCwkr1169fX7///rsBiQBUFGuxTZ2e/EkbUzIV6O2uz8bFKiyQvTsBAABqkvMq/NWpU0cpKSmSpPnz5ysuLk6S5HA4ZLPZKi5dLcGEPwAAAMA1PTa4jfPxLR/UjpscIyMjtWLFilL9K1asUMOGDQ1IBKAi2O0OjX1/rQptdknSe2O6qXmIv8GpAAAAUNHczuekq6++WiNHjlSLFi107NgxXXHFFZKk3377Tc2bN6/QgLXBX5f6NDHjDwAAAHAZt17cRE//sEOS9PPOo8qzFsvX87w+RlUb48aN03333aeioiJddtllkqTExEQ99NBD+r//+z+D0wE4H3a7Q/1e/kX70vMkSc9d00HdouoanAoAAACV4bw+sb788suKiopSSkqKnn/+efn5+UmSfv/9d911110VGrC2oe4HAAAAuA6TyaRPb4vVqHd/lSRd8+ZKzb/vEoNTVa4HH3xQx44d01133aXCwkJJkpeXlx5++GFNmjTJ4HQAzsez83Y4i37PDGuv4d0b/cMZAAAAqK7Oq/Dn7u6uBx54oFT//ffff8GBAAAAAMCV9Goe7Hy8MzVHNrtDFnPNvWXPZDLpueee0+TJk7Vjxw55e3urRYsW8vT0NDoagPPwwYoDenf5AUnS/XEtNSq2scGJAAAAUJnOuvD37bff6oorrpC7u7u+/fbbM4696qqrLjgYAAAAALiK/93VU8PeWClJWronXX1bhRicqPL5+fmpe/fuOnjwoPbt26fWrVvLbD6vbeIBGOSnbal68vvtkqQHB7TS+L5szwIAAFDTnXXhb+jQoUpNTVVISIiGDh1a7jiTySSbzVYR2QAAAADAJXRpVMf5+P/+s0kbJvczME3lmD17tjIzMxUfH+/su/322/Xee+9Jklq1aqUFCxYoMjLSqIgAzsGv+4/p9o/XS5JGxDTSXX2aGZwIAAAAVeGsb9e02+0KCQlxPi7vh6LfuXM4HEZHAAAAAPAPvN0tkqTjeYUGJ6kcb7/9turUOV3gnD9/vt5//3199NFHWrt2rYKCgvTkk08amBDA2dp7NEfD314tSWoR4qenhrSTyVRzlygGAADAaazT4mJ4Iw4AAAC4pmnXdDA6QqXas2ePunXr5mx/8803GjJkiEaNGqWuXbvq2WefVWJiooEJAZyNPWk5ipu+VJLUJixA391zsdwsfP0DAABQW5zXO797771Xr776aqn+119/Xffdd9+FZgIAAAAAl9OrebDz8W/JJwxMUjlOnjypgIAAZ3vlypW65JJLnO2mTZsqNTXViGgAztKmlEz1e3mps/3pbbHy+mO2MgAAAGqH8yr8ffXVV+rVq1ep/p49e+rLL7+84FAAAAAA4GqC/Tydj/9cQq8mady4sdavP7UfWEZGhrZt21bic19qaqoCAwONigfgHyRl5GnIzBXO9i8P9lFdXw8DEwEAAMAIbudz0rFjx8r8wBcQEKCMjIwLDgUAAAAArqyw2G50hAo3ZswYjR8/Xtu2bdPPP/+s1q1bKzo62nl85cqVat++vYEJAZQnu6BII945fUPC0gf7qlE9HwMTAQAAwCjnNeOvefPmmj9/fqn+H3/8UU2bNr3gULWNw+gAAAAAAM7KKzd0NjpCpXnooYc0btw4zZ07V15eXvrvf/9b4viKFSs0YsQIg9IBKI/N7tA9n/2m37MKFOjtrtWTLqfoBwAAUIud14y/+Ph43X333UpPT9dll10mSUpMTNRLL72kGTNmVGS+WsdkdAAAAAAA5eraqI4kyVQD37ibzWZNnTpVU6dOLfP43wuBAFxDwrwd+mV3urzczfrk1lg1CPQyOhIAAAAMdF6Fv1tuuUVWq1XPPPOMnnrqKUlSVFSU3nzzTY0ePbpCAwIAAACAq/B0O7VoirkmVv4AVDv/WZuid5cfkCS9dF1ndYhgH04AAIDa7rwKf5J055136s4771R6erq8vb3l5+dXkbkAAAAAAABQjrVJx/Xo11skSRMub6HBHcMMTgQAAABXcF57/ElScXGxFi1apLlz58rhOLVL3ZEjR5Sbm1th4QAAAAAAAFBSyvF83fHxehXZHBrUoYEmXN7C6EgAAABwEec14+/gwYMaOHCgkpOTZbVa1a9fP/n7++u5556T1WrVrFmzKjpnjfZH3RQAAAAAAOCMjmSeVO/nF0uS2jUM0IvXdZLZzPLDAAAAOOW8ZvxNmDBB3bp104kTJ+Tt7e3sHzZsmBITEyssXG3EViEAAAAAAKAsBUU29XlhibP9zuhu8vE4711cAAAAUAOdV+Fv2bJleuyxx+Th4VGiPyoqSocPH66QYAAAAAAA15GSkqJbbrnF6BhAreVwOPTwV5tVaLNLkj68JUYNg7z/4SwAAADUNudV+LPb7bLZbKX6Dx06JH9//wsOBQAAAACuKMDbXW+M6qrXR3QxOkqVO378uD788EOjYwC11ltL9+ubjUfkZjbp83EX6dKW9Y2OBAAAABd0XutB9O/fXzNmzNDbb78tSTKZTMrNzdXjjz+uQYMGVWhAAAAAAHAVXu4WDeoQZnSMSvHtt9+e8fj+/furKAmAv/t5Z5qem79TkvT4Ve3Uo1k9gxMBAADAVZ1X4e/FF1/UwIED1bZtWxUUFGjkyJHas2ePgoOD9fnnn1d0RgAAAABAJRs6dKhMJpMcDke5Y0xsSg5Uub1Hc3Tv5xvlcEijYhvpposaGx0JAAAALuy8lvqMjIzUpk2b9Oijj+r+++9Xly5dNG3aNP32228KCQmp6Iw1nkOnP1ibxAdpAAAAAFUvLCxMc+fOld1uL/Nnw4YNRkcEap3M/ELd9uE65VqLFdukrh6/sp3RkQAAAODiznnGX1FRkVq3bq3vv/9eo0aN0qhRoyojFwAAAACgCkVHR2v9+vUaMmRImcf/aTYggIpVbLPr7s9+U9KxfEXU8dYbo7rKw+287t8GAABALXLOhT93d3cVFBRURhYAAAAAgEEefPBB5eXllXu8efPmWrx4cRUmAmq3Z+bt0PK9GfLxsOid0d1Uz8/T6EgAAACoBs7rVrHx48frueeeU3FxcUXnAQAAAAAYoHfv3ho4cGC5x319fXXppZdWYSKg9vrP2hS9vyJJkjT9+k5qExZgbCAAAABUG+c840+S1q5dq8TERP3000/q0KGDfH19SxyfO3duhYQDAAAAAFSN/fv3q0mTJjKZ2HccMNK6pON69OstkqT741pqYPswgxMBAACgOjmvGX9BQUG65pprNGDAADVs2FCBgYElfnCO/rJNBp+xAQAAABihRYsWSk9Pd7aHDx+utLS0C77uzJkzFRUVJS8vL8XGxmrNmjXljp07d666deumoKAg+fr6qnPnzvr4448vOANQXRzOPKk7PlmvIptDgzo00D2XNTc6EgAAAKqZc5rxZ7fb9cILL2j37t0qLCzUZZddpieeeELe3t6VlQ8AAAAAUAUcDkeJ9rx585SQkHBB15wzZ47i4+M1a9YsxcbGasaMGRowYIB27dqlkJCQUuPr1q2rRx99VK1bt5aHh4e+//57jR07ViEhIRowYMAFZQFc3clCm27/aJ0ycgvVJixAL17XSWYzdwcDAADg3JzTjL9nnnlGjzzyiPz8/BQeHq5XX31V48ePr6xsAAAAAIBqbPr06Ro3bpzGjh2rtm3batasWfLx8dHs2bPLHN+nTx8NGzZMbdq0UbNmzTRhwgR17NhRy5cvL/c5rFarsrOzS/wA1Y3D4dADX27StiPZqufroXdGR8vH47x2ZwEAAEAtd06Fv48++khvvPGGFixYoK+//lrfffedPv30U9nt9srKBwAAAACoAiaTqdT+fhey319hYaHWr1+vuLg4Z5/ZbFZcXJxWrVr1j+c7HA4lJiZq165duuSSS8odl5CQUGLricjIyPPODBhl5uK9+mHz73K3mDTrpmhF1PExOhIAAACqqXO6fSw5OVmDBg1ytuPi4mQymXTkyBFFRERUeDgAAAAAQNVwOBy6+eab5enpKUkqKCjQHXfcIV9f3xLj5s6de1bXy8jIkM1mU2hoaIn+0NBQ7dy5s9zzsrKyFB4eLqvVKovFojfeeEP9+vUrd/ykSZMUHx/vbGdnZ1P8Q7Xy07ZUvfjTbknS1CHt1T2qrsGJAAAAUJ2dU+GvuLhYXl5eJfrc3d1VVFRUoaFqG8c/DwEAAACASjVmzJgS7RtvvNGQHP7+/tq4caNyc3OVmJio+Ph4NW3aVH369ClzvKenp7NYCVQ3mw9l6vaP10uSxvRorBExjQxOBAAAgOrunAp/f78DVCr7LtCzvQMUAAAAAOAa3n///Qq9XnBwsCwWi9LS0kr0p6WlqUGDBuWeZzab1bx5c0lS586dtWPHDiUkJJRb+AOqq6M5Bbrq9RWSpIaBXnrsX20NTgQAAICa4JwKf3+/A1Qy7i5QAAAAAIDr8vDwUHR0tBITEzV06FBJkt1uV2Jiou6+++6zvo7dbpfVaq2klIAxrMU23fHHTL8ALzf9OOESuVvMBqcCAABATXBOhb+KvgMUAAAAAFBzxcfHa8yYMerWrZtiYmI0Y8YM5eXlaezYsZKk0aNHKzw8XAkJCZKkhIQEdevWTc2aNZPVatW8efP08ccf68033zTyZQAVyuFwqOMTP8labFeAl5u+uftiBfq4Gx0LAAAANcQ5Ff4AAAAAADhbw4cPV3p6uqZMmaLU1FR17txZ8+fPV2hoqCQpOTlZZvPpWU55eXm66667dOjQIXl7e6t169b65JNPNHz4cKNeAlDhXvt5r6zFdknSzFFd1STY9x/OAAAAAM6eyeFwOIwOUZWys7MVGBiorKwsBQQEGB1HkrR8T4ZufO9XSdKupwfK081icCIAAAAA1Y0rftYxAr8HuLJF29M07uN1cjika6Mj9OJ1nYyOBAAAgGrgXD7nsIA8AAAAAABAJduTlqP75myUwyHddFFjin4AAACoFBT+AAAAAAAAKtGJvEJdO2uVcq3FimlSV1OubGt0JAAAANRQFP4AAAAAAAAqSbHNroGvLFXWySJJ0pujusrdwtcxAAAAqBy80wQAAAAAAKgkz83fqbRsqyTp+3suVj0/T4MTAQAAoCaj8OcCHHI4H5tkMjAJAAAAAACoKN9tOqJ3lh2QJM26savahwcanAgAAAA1HYU/AAAAAACACrYrNUcPfblZknRnn2Ya2D7M4EQAAACoDSj8AQAAAAAAVKCsk0X698frdLLIpoubB+uB/q2MjgQAAIBawiUKfzNnzlRUVJS8vLwUGxurNWvWnNV5X3zxhUwmk4YOHVq5AQEAAAAAAM6C3e5Q/JyNSjqWr/Agb706oossZrb1AAAAQNUwvPA3Z84cxcfH6/HHH9eGDRvUqVMnDRgwQEePHj3jeUlJSXrggQfUu3fvKkoKAAAAAABwZq/+vEeJO4/K082st26KVl1fD6MjAQAAoBYxvPA3ffp0jRs3TmPHjlXbtm01a9Ys+fj4aPbs2eWeY7PZNGrUKD355JNq2rTpGa9vtVqVnZ1d4sfVOBynH5u4CRAAAAAAgGopcUeaZizaI0l6ZlgHtQ8PNDgRAAAAahtDC3+FhYVav3694uLinH1ms1lxcXFatWpVuedNnTpVISEhuvXWW//xORISEhQYGOj8iYyMrJDsAAAAAAAAf9p6OEu3frhOknTTRY11bXSEwYkAAABQGxla+MvIyJDNZlNoaGiJ/tDQUKWmppZ5zvLly/Xee+/pnXfeOavnmDRpkrKyspw/KSkpF5wbAAAAAADgT8dyrfrXa8slSc3q+2ryv9oanAgAAAC1lZvRAc5FTk6ObrrpJr3zzjsKDg4+q3M8PT3l6elZyckAAAAAAEBtVGSza/xnG5ztz8ZdJA83w3dWAQAAQC1laOEvODhYFotFaWlpJfrT0tLUoEGDUuP37dunpKQkXXnllc4+u90uSXJzc9OuXbvUrFmzyg0NAAAAAADwh2fn7dDq/cfl62HR1+N7KTTAy+hIAAAAqMUMvQXNw8ND0dHRSkxMdPbZ7XYlJiaqR48epca3bt1aW7Zs0caNG50/V111lfr27auNGzdW2/37HH95bDIsBQAAAAAAOBdv/bJP769IkiRNH95ZLUL9jQ0EAACAWs/wpT7j4+M1ZswYdevWTTExMZoxY4by8vI0duxYSdLo0aMVHh6uhIQEeXl5qX379iXODwoKkqRS/QAAAAAAAJVlU0qmEn7cKUm66aLGGtCu9MpFAAAAQFUzvPA3fPhwpaena8qUKUpNTVXnzp01f/58hYaGSpKSk5NlNrM2PgAAAAAAcA3H8wp15yfrJUkdwgM1dUg7gxMBAAAApxhe+JOku+++W3fffXeZx5YsWXLGcz/44IOKDwQAAAAAAFAGm92hez//TUeyCtQk2FefjouVycTGHQAAAHANTKUDAAAAAAA4Sy/+tEvL92bI292iWTdGK8DL3ehIAAAAgBOFPxfgcDicj7lLEAAAAAAA1/T1b4f15pJ9kqTnru2oVg38DU4EAAAAlEThDwAAAAAA4B/sPZqr++ZslCRd1amhrurU0NhAAAAAQBko/AEAAAAAAJxBnrVYd36yXpLUPaqOpl/fyeBEAAAAQNko/AEAAAAAAJTD4XDokf9t0Z6juQrx99Qbo6LlZuHrFAAAALgm3qkCAAAAAACU45PVB/XNxiOymE16fWRX1ff3NDoSAAAAUC4Kfy7A8ZfHJsNSAAAAAACAv9qYkqmp32+XJE0c2FoxTeoanAgAAAA4MzejAwAAAAAAALiaI5knNXTmCknSwHYNdFvvJgYnAgAAAP4ZM/4AAAAAAAD+wmZ3OIt+kvT8dR1lMrFGDwAAAFwfhT8AAAAAAIC/eGXRbh3NsUqSvrqzpwK83A1OBAAAAJwdCn8AAAAAAAB/WLzrqF79ea8k6ZUbOiu6cR2DEwEAAABnj8KfK3CcfsjKIQAAAAAAGONw5kndP2ejJOmmixprSOdwYwMBAAAA54jCHwAAAAAAqPUKi+2669MNyswvUseIQD32rzZGRwIAAADOGYU/AAAAAABQ642ZvUabUjIlSTNHdpWnm8XYQAAAAMB5oPAHAAAAAABqtf+sS9Gq/cckSbNujFZkXR+DEwEAAADnh8IfAAAAAACotRbvPKqHvtwsSbr9kqYa2L6BwYkAAACA80fhzwU45HA+NplMBiYBAAAAAKD2yMwv1NgP1kqS2ocHaOLA1gYnAgAAAC4MhT8AAAAAAFDrOBwOPfDfzc72J7fGymzmZlwAAABUbxT+AAAAAABArfPe8gNatCNNHhazvr/nYgX5eBgdCQAAALhgFP4AAAAAAECtsjElU8/N3ylJeuxfbdQ+PNDgRAAAAEDFoPAHAAAAAABqjayTRbr7sw0qsjk0qEMD3XRRY6MjAQAAABWGwp8LcDiMTgAAAAAAQM3ncDj00JebdOjESUXW9da0azrKZGJfPwAAANQcFP4AAAAAAECt8M6y/VqwLU3uFpNmjuyqAC93oyMBAAAAFYrCHwAAAAAAqPE2JJ/Qs/NO7es36Yo26hgRZGwgAAAAoBJQ+AMAAAAAADVarrVYt36wVpLUMNBLY3tFGRsIAAAAqCQU/gAAAAAAQI325LfbdCK/SA0DvfTjhEvY1w8AAAA1FoU/F+BwGJ0AAAAAAICa6YfNv+u/6w/JbJJeHt5ZgT7s6wcAAICai8IfAAAAAACokQ5nntSkuZslSXf1aa7YpvUMTgQAAABULgp/AAAAAACgxrHZHbp/zkZlFxSrU2SQJsS1MDoSAAAAUOko/AEAAAAAgBpn1i/7tObAcfl6WPTK8M5yt/AVCAAAAGo+3vUCAAAAAIAaZVNKpl5euFuS9MRV7RQV7GtwIgAAAKBqUPhzAQ6jAwAAAAAAUEPkWYs14YvfVGx3aHDHMF0bHWF0JAAAAKDKUPgDAAAAAAA1xhPfblPSsXw1DPTSs0M7yGQyGR0JAAAAqDIU/gAAAAAAQI3ww+bf9d/1h2QySdOHd1agj7vRkQAAAIAqReEPAAAAAABUe0cyT2rS3M2SpLv6NNNFTesZnAgAAACoehT+AAAAAABAtWazO3T/nI3KLihWp8gg3RfX0uhIAAAAgCEo/LkAh8NhdAQAAAAAAKqtWb/s068HjsvHw6JXhneWu4WvOwAAAFA78U4YAAAAAABUW5tSMvXywt2SpCeuaqeoYF+DEwEAAADGofAHAAAAAACqpTxrsSZ88ZuK7Q4N7hCm66IjjI4EAAAAGIrCHwAAAACg0sycOVNRUVHy8vJSbGys1qxZU+7Yd955R71791adOnVUp04dxcXFnXE88OR325R0LF8NA7307LAOMplMRkcCAAAADEXhDwAAAABQKebMmaP4+Hg9/vjj2rBhgzp16qQBAwbo6NGjZY5fsmSJRowYocWLF2vVqlWKjIxU//79dfjw4SpOjupg3pbf9Z91h2QySdOHd1agj7vRkQAAAADDUfhzAQ6jAwAAAABAJZg+fbrGjRunsWPHqm3btpo1a5Z8fHw0e/bsMsd/+umnuuuuu9S5c2e1bt1a7777rux2uxITE8t9DqvVquzs7BI/qPmOZJ7UxK82S5Lu6tNMFzWtZ3AiAAAAwDVQ+AMAAAAAVLjCwkKtX79ecXFxzj6z2ay4uDitWrXqrK6Rn5+voqIi1a1bt9wxCQkJCgwMdP5ERkZecHa4NpvdofvnbFR2QbE6RQTqvriWRkcCAAAAXAaFPwAAAABAhcvIyJDNZlNoaGiJ/tDQUKWmpp7VNR5++GE1bNiwRPHw7yZNmqSsrCznT0pKygXlhut7a+k+/XrguHw8LHrlhi5yt/DVBgAAAPAnN6MDAAAAAADwd9OmTdMXX3yhJUuWyMvLq9xxnp6e8vT0rMJkMNKmlExN/2m3JOmJq9opKtjX4EQAAACAa6HwBwAAAACocMHBwbJYLEpLSyvRn5aWpgYNGpzx3BdffFHTpk3TokWL1LFjx8qMiWokz1qs++ZsVLHdocEdwnRddITRkQAAAACXw3oYLsDhMDoBAAAAAFQsDw8PRUdHKzEx0dlnt9uVmJioHj16lHve888/r6eeekrz589Xt27dqiIqqoknv9umAxl5Cgv00rPDOshkMhkdCQAAAHA5zPgDAAAAAFSK+Ph4jRkzRt26dVNMTIxmzJihvLw8jR07VpL+v717j7O6oPPH/5oZmBmRixdiUBxFvCEqkJhERqyFUd7iu13IbZW1i+0qe5GvlVoJXRQ1M3sUaZqW2y9Xy1+2pS6mKLUq5QaSCt6RIHVAMoFAGZj5/P7YX+xSaKKc+Zw583w+HufxaD7zOYfXp8f7MZ73vOack1NOOSVDhgzJrFmzkiQXXXRRzjvvvFx33XUZOnTols8C7Nu3b/r27VvadVC+Wx98Nt//1W9TV5d8ZcroDOjTu+xIAABQlRR/AAAAVMSUKVPy3HPP5bzzzktbW1tGjx6dOXPmpKWlJUmyfPny1Nf/zxvRXH755Wlvb8/73ve+rR5nxowZmTlzZldGp4o888KLOeeHDyZJ/mHCfnnzsN1LTgQAANVL8QcAAEDFTJs2LdOmTdvm9+bNm7fV18uWLat8ILqVjs4i07+/KGte3JSRew3ImcccWHYkAACoaj7jDwAAAKhK3/z5k/nF0ufTp7EhX/3gG9O7wa8xAADglXjGXBWKsgMAAABAVXngty/k0p8+liSZecIh2XfgziUnAgCA6qf4AwAAAKrKS5s68i83LMrmziLHHjY47z9ir7IjAQBAt6D4AwAAAKrKRXMeydLn1mdQv6acP/mw1NXVlR0JAAC6BcUfAAAAUDXufWJ1vn3PsiTJRe8bmV13biw3EAAAdCOKPwAAAKAqrH1pU876wa+TJB8au3eOPmhQyYkAAKB7UfwBAAAAVeFzP16SZ9a8lH1275Nzjz247DgAANDtKP6qQFGUnQAAAADKNeehtvy/C3+b+rrky+8flZ2bepUdCQAAuh3FHwAAAFCq59ZtzLk3PZgk+fiE/XLE0N1KTgQAAN2T4g8AAAAoTVEUOeeHD+T59e0ZPrhf/mXiAWVHAgCAbkvxBwAAAJTmBwt+mzseXpXGhvp8ZcroNPVqKDsSAAB0W4o/AAAAoBQrnt+Qz/9kSZJk+jsPzMF79C85EQAAdG+KvypQlB0AAAAAulhnZ5GzfvDr/GHj5hyxz6752PhhZUcCAIBuT/EHAAAAdLlr7nkqv3zq+fRpbMiXPzAqDfV1ZUcCAIBuT/EHAAAAdKnHVq7Lxbc9miT5zHEjss/uO5ecCAAAaoPiDwAAAOgy7Zs7c+YNi9K+uTNHH/SGnHRka9mRAACgZij+AAAAgC7z9Tsfz+Jn1maXPr1z0XtHpq7OW3wCAMCOovirAkVRdgIAAACovPuX/z6z5z2ZJDl/8mEZ1L+55EQAAFBbFH8AAABAxb3Y3pH/+/1fp6OzyHtG75njRu5RdiQAAKg5vcoOAAAAANS+8RffldV/2JjB/Zvz+RMPLTsOAADUJK/4AwAAACrqrkdWZfUfNiZJvjj50Azo07vkRAAAUJsUfwAAAEDFrHtpU8696cEkyeF775KJI1pKTgQAALVL8VcFihRlRwAAAICKmPUfj+TZNS9ln9375HsffXPZcQAAoKYp/gAAAICKuPeJ1bnul8uTJBf+9cjs1NhQciIAAKhtij8AAABgh9vQvjmf+uEDSZK/ffPeGbff7iUnAgCA2qf4AwAAAHa4L932aFY8/2L2HNCcT71reNlxAACgR1D8AQAAADvUgt88n+/cuyxJcsFfH5Z+zb3LDQQAAD2E4q8KFEXZCQAAAGDHeGlTRz5x4wMpiuR9Y/bKXx00qOxIAADQYyj+AAAAgB3mq3Mfz9Ln1ucN/Zry2eNGlB0HAAB6FMUfAAAAsEM8+Ns1ufLnS5MkX5x8aAb08RafAADQlRR/AAAAwOvWvrkzn7jx1+noLHL8yD0y6ZDBZUcCAIAeR/EHAAAAvG6Xz3syj7Sty247N+ZzJx5SdhwAAOiRqqL4mz17doYOHZrm5uaMHTs2991338uee9VVV2X8+PHZdddds+uuu2bixImveH53UJQdAAAAAF6HR9rW5ut3PZ4kmXniIdm9b1PJiQAAoGcqvfi74YYbMn369MyYMSMLFy7MqFGjMmnSpKxatWqb58+bNy8nnXRS7rrrrsyfPz+tra155zvfmaeffrqLkwMAAACbOzrzyRsfyKaOIseMaMkJI/coOxIAAPRYpRd/l156aT72sY/l1FNPzYgRI3LFFVekT58+ueaaa7Z5/ve+972cfvrpGT16dIYPH55vfetb6ezszNy5c7d5/saNG7N27dqtbgAAAMCOcfXdT+WB365Jv+Ze+eLkQ1NXV1d2JAAA6LFKLf7a29uzYMGCTJw4ccux+vr6TJw4MfPnz39Vj7Fhw4Zs2rQpu+222za/P2vWrAwYMGDLrbW1dYdkBwAAgJ7uyef+kC/f/liS5LPHj0hL/+aSEwEAQM9WavG3evXqdHR0pKWlZavjLS0taWtre1WP8alPfSp77rnnVuXh/3bOOedk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IEe74VML9cnvBzVvwxEDUwEAAAAAgLJitdk1bE68/m/uJkffY30b66cHu8vPkxvDAQDAxeFdg4v6a8WflweFv8rAbDZpeNdIrT2Q6ugb991WmUzSla1qysONGj0AAAAAABXVvuQzuvylXx3tkCqe+unBbgrx97rAVQAAAAVRTXBRf6/446+osujXIkxf3dfZqc9ulxJOZup0dp4k6WjaWaVm5spqsxsREQAAAAAAlLDf9590KvpNGdRC8U/FUPQDAADFwoo/F8UZf5VT+8ggPXd9S038YZuy886d89fn5d/OOz/+ycsV4u+lU5m5+m7TUbWqFajoOlW1/ViGHvt6s7Ydy5AkbXm6j6p4uZfJawAAAAAAABfn07UH9dS3Wx3tnx7sphbhAQYmAgAA5R1VJRf114o/L874q3QGt6+tq1rXVLMJi/9z7o1vrdHrt7TVVa+vdPQ91LuBXl2612ley6d/1uzb2qpfi7ASzwsAAAAAAIrmyKksdXtumaPdvWGw3hnaju+BAADAJWMfSRf191afvOGrjHw83DS8a+R/nu138GSWU9FPUoGi31/u+2SDHv1qc4llBAAAAAAARWOz2XXXB+ucin4jL6uvj+7sQNEPAACUCFb8uai/t/rkTV9lNfGq5pp4VXNJ5z4Y2CVZzCZJ0rPzt+udFQccc9vWDtSGQ2mO9n096+veHvWUciZHV/xjq9Cv1x/RsM6RalmLbUMAAAAAAChLmw6nadCsVU59r9wcpWuiwg1KBAAAKiJW/Lmovwp/3hT+IMlsNjmKfpL01MBmGtu/iSTppna1NPfezppxU2tJ0qu3tNGY/k1U1ddDDUOraN/UAari9XeN/6rXV+rX3cll+wIAAAAAAKik7Ha7xn+31ano1zoiUNsn96XoBwAAShwr/lwUZ/zhv9zbs75GdK8n8/8Kgte1raXr2tYqMM9iNmnL030VOWa+o2/YnHhJUrMwf20/nqHnr2+lm9pHlE1wAAAAAAAqiew8q+7+8A+t3Jvi6PtxVDd24gEAAKWGFX8uiq0+cTHM/1gF+F92TulXoG/78QxJ0uPf/KljaWc16rMNihwzX4NmrVJOvrXEcgIAAAAAUNms3puiJuMXOYp+17UJ1/6pAyj6AQCAUkXhz0X9teLPmxV/KCFe7hYteKj7ece7TF+qn/48LuncuQMfrk4oo2QAAAAAAFQsryzZoyHvrnW0v7ink2YMjirSDbwAAADFQeHPRbHVJ0pDs5r+Spg+UB8Mb68HetXX5ol9zjt36oKdZZgMAAAAAIDyz2az6+4P1+nlJbsdfXPv6aRO9aoZmAoAAFQmFP5c1F9bfXqz1SdKQa/GIXq8XxMFeLsr/qnLJUmd61XThvFXqEmNKo55SRnZRkUEAAAAAKBcyczJ1xUv/6olO05IkupV99XeZ/urI0U/AABQhij8uai/zldjq0+UtpAqXkqYPlCf39NJQb4eevO2aMdYx6lxOpZ21sB0AAAAAAC4vmU7T6j5xMXal5wpSXr6qmZa+kgvuVn46g0AAJQtN6MDoHA5eTZJkocbbxBRtiKr+Ti1u0xfKklqWztQ7haz9iVn6o1b26pD3SAj4gEAAAAA4FLGztuiz+MPOdqfj+ikzvVZ5QcAAIxBVclF5eSfK/x5UvhDGTOZTNr1TL8C/RsOpWntgVSlnMnRTW+t0egvNipyzHxtPHTKgJQAAAAAABgr32pTn5d/dSr6rXj8Mop+AADAUFSVXFSulcIfjOPpZtGasb1V51+r//7p+03HJEnXvrFa6Vl5ZRUNAAAAAADDpWbmqvH4RdqddEaS1KpWgPZPHaCIoPN/jgYAACgLbPXp4jw54w8GCQvw1q+PXaaUMzk6lJqlHccz1LFukGJm/FZgbuvJP2v8lc10V7e6BiQFAAAAAKDs7Ek6rSte/vuz8ZRBLXR7pzoGJgIAAPgbhT8Xx4o/GC3Yz1PBfp5qW7uqJCn+ycu1/uAp+Xq6aeiceMe8KT9tV/8WNVQz0NuoqAAAAAAAlKrf95/UzW//7mh/c39nRdcJMjARAACAM6pKLs6Dwh9cTIi/l/q3DFOPRtUV90hPp7EbZ6/Rb7uTDUoGAAAAAEDp+XhNglPRb8Xjl1H0AwAALoeqkotjxR9cWf3qfvrink6O9tG0sxo6J16nMnMNTAUAAAAAQMmx2+264/14jf9+mySpTjUfbZ3Ul/P8AACAS6Kq5OI8LPwVwbV1qldNNQO8nPraTPlFkWPma9muE7LZ7AYlAwAAAADg0uRbbbph9hot33Vud5uYpiGKi+0pP09OzwEAAK6JqpIL83Qzy2QyGR0D+E+zbm2r14e0KdA//P11eumXXQYkAgAAAADg0pzOzlPPF5Zr/cFTkqRH+zTSu8Pay42btAEAgAvjnYoLY5tPlBdtalfVla1q6qv7OhcYm7Vsn7LzrAakAgAAAACgeE5l5urWd9fqaNpZSdKrt7TRqN4NDU4FAADw36gsuTAPN4vREYAiaR8ZpPinLtfOKf3UNMzf0f/Pw8/P52wuxUEAAAAAgPH+PJKmNlN+0Z9H0lXVx10/juqmq1vXNDoWAADARWFDchfGij+URyFVzp33t+Chbqo7doEkadPhNEWOma96wb6qG+yrk5m52nQ4TW5mkxqE+Gln4mlJ0jf3d1Z0nSDDsgMAAAAAKrc5Kw9o8k/bHe0v7+2shqFVDEwEAABQNFSWXJinO389KL9MJpMmX9PcqW9/Sqbidp7QpsNpkqR8m91R9JOk699cU5YRAQAAAACQJNntdt378R9ORb/fHruMoh8AACh3qCy5ME+2+kQ5d3unOoppGlKkazgPEAAAAABQlvKtNt3/yQYt3pYkSaod5KPdz/RX7Wo+BicDAAAoOrb6dGFs9YnyzmQy6d1h7ZVyJkcnz+TqTE6+9iWf0TVRNWWzSTsTM9QotIqOnDqrvjN/kyQ1Gb9Iyx7tpao+7jqenq1aVb1Vxcvd4FcCAAAAAKiIdiZmqN/MFY72Q70bKLZPYwMTAQAAXBoKfy7Mg8IfKohgP08F+3lKkqLrVHX0t6l97nGjUD+n+Ze9uNypPfu2turXIqx0QwIAAAAAKpXNh9N0zaxVjvZbt0erb/MaBiYCAAC4dBT+XBgr/lBZmEwm7X22vxo8tbDQ8fs+2aDaQT4a2rmOpi7YIZv9XH/cIz1V1cdDQb4eZZgWAAAAAFDe/bI9SaO/2Ohov3JzFEU/AABQIVBZcmGc8YfKxM1i1pRBLRzt69qGO40fSs3SM/P/LvpJ0uUv/aq2U37Rre/+ruTTOWUVFQAAAABQjs1ZeUAjPvpDWblWdalfTdsm9dU1UeH/fSEAAEA5wIo/F+bpTl0Wlcvtnero1g61ZTKdWwU49dqWGv7+Oq3Zf/KC163ae1Ltn12irZP6ys+Tf9YAAAAAAAXZ7XZN/mm73l+VIElqHRGoOXe0l5c7N14DAICKw/DK0qxZsxQZGSkvLy917NhR8fHxF5w/c+ZMNW7cWN7e3oqIiNDDDz+s7OzsMkpbttjqE5WR2WySyWSSJHm5W/T5PZ20eUIfTbyqmX577DIlTB+oZY/2Upf61Qpce+cH63Q6O09j521R5Jj5ihwzX9e9sUpbj6bLbrcXmA8AAAAAqBzSz+ap7tgFjqLfA73q67sHulD0AwAAFY6hS2Pmzp2r2NhYzZ49Wx07dtTMmTPVt29f7dq1SyEhIQXmf/bZZxozZozmzJmjLl26aPfu3brjjjtkMpk0Y8YMA15B6aLwB5wT4OOu4V3rOtp1g3312YhOkqSs3Hw1m7BYkhR/IFUtn/7Z6doNh9J05WsrJUm7nunHFroAAAAAUMkcTs1S9+eXOdrTrmupWzrUNjARAABA6TG0sjRjxgyNGDFCw4cPV7NmzTR79mz5+Phozpw5hc5fvXq1unbtqiFDhigyMlJ9+vTRLbfc8p+rBMsrChTAf/PxcNNz17e8qLnbj2WUchoAAAAAgKuw2ey64c3VTkW/mYOjKPoBAIAKzbDCX25urtavX6+YmJi/w5jNiomJ0Zo1awq9pkuXLlq/fr2j0Ld//34tWLBAAwYMOO/vycnJUUZGhtNPeeHBij/gogxuX1utagVIku7sWlc7JvfTgWkDtOzRXurTLNQx79o3VqvRuIVGxQQAAAAAlJGs3Hw1nbBIfxw8JUlyM5sU/+TlGtQm3OBkAAAApcuwrT5TUlJktVoVGhrq1B8aGqqdO3cWes2QIUOUkpKibt26yW63Kz8/X/fdd5+efPLJ8/6eadOmadKkSSWavayw1Sdw8X4Y1a1AX91gX709tJ0ix8x39OXm2xQ5Zr62T+4rHw9DdzsGAAAAAJSCMzn5Gv5+vHLybY6+P8bFKNDHw8BUAAAAZaNcVZaWL1+uqVOn6o033tCGDRs0b948zZ8/X1OmTDnvNWPHjlV6errj5/Dhw2WY+NK4W8rVXw/gspY/2ksDW4Y59U36YbtBaQAAAAAApSX5dI4GzVqldQnnVvq9cWtbJUwfSNEPAABUGoYtdwkODpbFYlFSUpJTf1JSkmrUqFHoNePHj9ftt9+uu+++W5LUsmVLZWZm6p577tFTTz0ls7lgoczT01Oenp4l/wLKAIU/oGREBvtq1q1tdcueFN323lpJ0tw/DsvT3awu9YPVq3F1eblzpiYAAAAAlGc/bD6mhz7fKOnc8Slf39dZrWoFGhsKAACgjBlWWfLw8FB0dLTi4uIcfTabTXFxcercuXOh12RlZRUo7lks576st9vtpRfWIO4Wk9ERgAqlW8NgDe8a6Wh/tOag7vtkvZqMX1Qh/w0BAAAAgMpi+sKdjqKfJM27vwtFPwAAUCkZuqQsNjZW77zzjj788EPt2LFD999/vzIzMzV8+HBJ0tChQzV27FjH/KuuukpvvvmmvvjiCx04cEC//PKLxo8fr6uuuspRAKxIWPEHlLyOdYMK7d9+PKOMkwAAAAAALpXNZlfsl5s0+9d9jr7NE/qoRXiAgakAAACMY9hWn5I0ePBgJScna8KECUpMTFRUVJQWLVqk0NBQSdKhQ4ecVviNGzdOJpNJ48aN09GjR1W9enVdddVVevbZZ416CaWKwh9Q8vq1CNOasb2VmWPV4VNZGv7+OknSo1/9qYWjuxucDgAAAABwsaw2u4Z/sE6/7U6WJNUN9tWS2J6ymNlBCQAAVF4meyXb3y4jI0MBAQFKT0+Xv7+/0XEkSTn5VjUet6hA/ws3tNKN7SIMSARUHpFj5jseJ0wfaGASAACAS+OKn3WMwJ8DUDmczbWq6YS/v0u5o0ukJl7VTCYTRT8AAFDxFOVzDkvKXJiHG389QGl7ckATSVJIFU+DkwAAAAAALkZ2nlXDP4h3tGcNaaunr25O0Q8AAEAU/lwaW30Cpa9Z2LlzH06czlHkmPn6cHWCsYEAAAAAAOeVk2/VvR+v1+/7UyVJT1/VTANbhRmcCgAAwHVQWXJhFP6A0lcjwHml38QfthmUBAAAAABwIbn5Nt3/yQb9ujtZXu5mfXFPJ93Rta7RsQAAAFwKlSUX5m5hiwqgtDUIqaI2tQOd+tpM/lmPf71Zufk2Y0IBAAAAAJzkWW0a9dkGLd15Qp5uZs0Z1l6d6lUzOhYAAIDLcTM6AM7PgxV/QJn49oGustvtqjt2gSTpVFaevvzjiL7844haRwRq8+E0/fpYL9Wp5mtwUgAAAACofM7mWtVh6hKdzs6Xh5tZ7wxtpy4Ngo2OBQAA4JKoLLkwdzf+eoCycr5D4DcfTpMk9XxhedmFAQAAAABIkvYnn1HTCYt0OjtfkvTmrW3Vo1F1g1MBAAC4Llb8uTDO+APK1s4p/bT3xBk1CPFTk/GLnMY8KcQDAAAAQJk6eDJTvV/61dF+eXBrXd401MBEAAAAro/CnwtzM3PGH1CWvNwtahEeIElaM7a3thxJV4C3uwa//bty8m2KHDNf17UN14yboowNCgAAAAAV3ObDabpm1ipH+/uRXdU6ItC4QAAAAOUEhT8X5sEKI8AwYQHeCgvw1tG0s0798zYc1bwNR3Vrx9p69tqWBqUDAAAAgIpry5F0R9HPbJLWPhmj6lU8DU4FAABQPlBZcmFs9QkYLzzQW8O7Rhbo/3TtIT3w6XqdycnXdxuP6nR2XtmHAwAAAIAK5vf9J3XV6ysd7RVP9KboBwAAUASs+HNh7ha2+gRcwcSrmmviVc2Vm2/ToFmrtP14hiRpwZZELdiS6DTXw82s3c/0NyImAAAAAJRrGw+d0s1v/y7p3E2Yix/uIT9PvroCAAAoCpaUuTAPVvwBLsXDzawFo7vrrm51zzsn939nAUaOma+OU5do/cFTZZgQAADA9cyaNUuRkZHy8vJSx44dFR8ff1HXffHFFzKZTBo0aFDpBgTgErYeTdfQOef+ffD832cvin4AAABFR2XJhbHVJ+Caxl/ZTO8Pby9JGhRVUxZz4atzkzJydP2bqxU1+Wct2Z6k7DxrWcYEAAAw3Ny5cxUbG6uJEydqw4YNat26tfr27asTJ05c8LqEhAQ9+uij6t69exklBWCkbcfSddt7a3U6O1/t6lTVhvFXKMDb3ehYAAAA5ZLJbrfbjQ5RljIyMhQQEKD09HT5+/sbHUeSlJNvVeNxiwr0b53Ul7vbgHIgN98md4tJ6xJO6aa31lxw7vpxMarmx/kUAACg5LniZ52OHTuqffv2ev311yVJNptNERERevDBBzVmzJhCr7FarerRo4fuvPNOrVixQmlpafruu+8u+ne64p8DgPPbdixdA189d6Zf64hAfXJXB1XxougHAADwT0X5nMOSMhfGGX9A+eDhZpbJZFKHukFKmD5Q+6cO0IFpAwpdCRj9zBIDEgIAAJS93NxcrV+/XjExMY4+s9msmJgYrVlz/pulJk+erJCQEN11110X9XtycnKUkZHh9AOgfFi45bij6CdJHw2n6AcAAHCpWE7mwtzN1GWB8sj8v4LfvqkDdDbXqm83HtWT325xjEeOmS9Jev6GVurdJETBrAAEAAAVUEpKiqxWq0JDQ536Q0NDtXPnzkKvWblypd577z1t2rTpon/PtGnTNGnSpEuJCsAAfySk6v5PN0iSgv08tfTRnvKn6AcAAHDJqCy5MPN5zg0DUH54e1g0pGNtvTesXYGxx7/+U+2eWaLIMfNVyXZdBgAAKOD06dO6/fbb9c477yg4OPiirxs7dqzS09MdP4cPHy7FlABKwvebjuqG2X+v/I2LpegHAABQUljx56La1A40OgKAEnR501DFXtFIM37ZXej44Ld/1xP9mii6TtUyTgYAAFA6goODZbFYlJSU5NSflJSkGjVqFJi/b98+JSQk6KqrrnL02Ww2SZKbm5t27dql+vXrF7jO09NTnp7soACUFxsPndLoLzZJkhqG+OmHUd3k7WExNhQAAEAFwoo/F3VDdC2jIwAoYQ9d3lAJ0wcqYfpALX2kpx7r29gxFn8gVde/uVpbj6YbmBAAAKDkeHh4KDo6WnFxcY4+m82muLg4de7cucD8Jk2aaMuWLdq0aZPj5+qrr9Zll12mTZs2KSIioizjAygFfx5J07A58Y7296O6UvQDAAAoYaz4c1FubPMJVGj1qvtp5GUN9MLiXU79V762Usse7aW6wb4GJQMAACg5sbGxGjZsmNq1a6cOHTpo5syZyszM1PDhwyVJQ4cOVXh4uKZNmyYvLy+1aNHC6frAwEBJKtAPoPz5ff9J3fz275LO7XL0yV0d5ePB11IAAAAljXdYLspiZjEmUBkkTB8oq82u+k8ucPRd9uJyxT91uUKqeBmYDAAA4NINHjxYycnJmjBhghITExUVFaVFixYpNDRUknTo0CGZ+ewDVHifxx/S2HlbHO0P7uggX0++kgIAACgNJrvdbjc6RFnKyMhQQECA0tPT5e/vb3QcSVJOvlWNxy1y6ps5OEqD2oQblAhAWcu32tTgqYVOfQnTBxqUBgAAlEeu+FnHCPw5AK7lpz+PadRnGyVJtap665eHe7K9JwAAQBEV5XMOt1a6KDNbfQKVipvFrP1TBzj1vbF8r0FpAAAAAODSzdtwxFH0C/L10JJYin4AAACljcKfi+KMP6DyMZtN2jmln6P9/KJdyrfaDEwEAAAAAMWzeFuiYr/cLEmKaRqiP56KkZc7RT8AAIDSRuHPRVko/AGVkpe7Rbd0qO1oN3hqoXYczzAwEQAAqIzy8/O1ZMkSvfXWWzp9+rQk6dixYzpz5ozByQCUByv2JOvB/630G9Cyht6+vR07GwEAAJQRCn8uihV/QOU17bqWTu3+r6zQuyv2K/5AqnLzWQEIAABK18GDB9WyZUtdc801GjlypJKTkyVJzz33nB599FGD0wFwdav2puj29+KVa7Wpf4saevXmNhT9AAAAypBbcS6yWq364IMPFBcXpxMnTshmc/4ieunSpSUSrjJjxR9Que16pp8aj1vkaD8zf4fj8aL/664mNS58gCsAAEBxjR49Wu3atdPmzZtVrVo1R/+1116rESNGGJgMgKvbfDhNt767VpLUOLSKZt4cJTcL95wDAACUpWIV/kaPHq0PPvhAAwcOVIsWLWQyUaQqaW5m3hgDlZmnm0Uf39VBt78XX2Cs38wVGhRVUy/e2JoP0QAAoMStWLFCq1evloeHh1N/ZGSkjh49alAqAK5uT9Jp3fH+uc8vLcMD9PX9neXpxpl+AAAAZa1Yhb8vvvhCX375pQYMGFDSefA/rPgD0L1hde16pp8OpGQqISVT932ywTH23aZj+m7TMW2f3Fc+HsX6pxwAAKBQNptNVqu1QP+RI0dUpUoVAxIBcHVHTmXp9vfidSorT1ERgfr07o4U/QAAAAxSrKUiHh4eatCgQUlnwT+4WSj8ATi38q9JDX/1axGmhOkD5eXu/M92swmLlZWbb1A6AABQEfXp00czZ850tE0mk86cOaOJEydy8yeAAo6mnVW355YpMSNbDUP89P4d7eXryc2JAAAARilW4e+RRx7RK6+8IrvdXtJ58D+s+ANQmJ1T+mveA12c+ppNWCybjX+PAQBAyXjxxRe1atUqNWvWTNnZ2RoyZIhjm8/nnnvO6HgAXEhSRra6Tl/qaH98V0dV9fW4wBUAAAAobcW6BWvlypVatmyZFi5cqObNm8vd3d1pfN68eSUSrjKzcG4igPNoW7uqvrm/i65/c7Wjr96TC3RjdC29cGNrA5MBAICKICIiQps3b9bcuXO1efNmnTlzRnfddZduvfVWeXt7Gx0PgIvYeOiUrn3j788kPz3YTTUCvAxMBAAAAKmYhb/AwEBde+21JZ0F/8CKPwAXEl2nqj68s4OGzYl39H21/oi+Wn9EkjT12pYa0LKGAn242xYAAFy8vLw8NWnSRD/99JNuvfVW3XrrrUZHAuCCdiWedir6/fpYL9Wp5mtgIgAAAPylWIW/999/v6Rz4F844w/Af+nZqLqWxPZQzIzfCow9+e0WPfntFke7Te1AJaVna/ljl8nDrVi7PAMAgErA3d1d2dnZRscA4MIOp2bp9vfWOtq/j72clX4AAAAu5JK+/U1OTtbKlSu1cuVKJScnl1QmSHJjxR+Ai9AgpIoSpg/UsM51Ljhv46E0HUvPVqNxC/XTn8fKKB0AACiPRo4cqeeee075+flGRwHgYo6cytKAV1boxOkcNQ6tok0TrqDoBwAA4GKKteIvMzNTDz74oD766CPZbDZJksVi0dChQ/Xaa6/Jx8enRENWRhYzK3IAXLxJ17TQ2AFN5elm1oItiXpnxX5tOpxW6NxRn23UqM82qlfj6nr/jvYycaYoAAD4h3Xr1ikuLk4///yzWrZsKV9f5+37ONMdqJwSUjLV68XlkqQAb3d9dFcHjhYAAABwQcUq/MXGxurXX3/Vjz/+qK5du0qSVq5cqYceekiPPPKI3nzzzRINWRlV8+PNM4Ci8XK3SJIGtgrTwFZhjv6zuVYt23VCD3y6wWn+8l3Jqjt2gb59oIva1K5aplkBAIDrCgwM1PXXX290DAAuJCkj21H0k6TvR3ZVqD8r/QAAAFyRyW6324t6UXBwsL7++mv16tXLqX/ZsmW66aabXHrbz4yMDAUEBCg9PV3+/v5Gx5Ek5eRb1XjcIknSla3CdG+P+mpZK8DgVAAqoq/XH9GjX2126gsP9NaqMb0NSgQAAEqKK37WMQJ/DkDJ2pN0Wle8/Pe54mvG9lZYgLeBiQAAACqfonzOKdZ+kllZWQoNDS3QHxISoqysrOI8Jf6naZg/RT8ApeaG6FpKmD5Q656KcfQdTTuryDHz9eeRNKVn5em33ckqxj0hAACgguFMdwDH0s46Ff1WPH4ZRT8AAAAXV6zCX+fOnTVx4kRlZ2c7+s6ePatJkyapc+fOJRYOAFA6qlfx1Md3dXDqu/r1VWo9+WcNnROvER+tNygZAAAwWmZmpu68806FhYWpR48e6tGjh2rWrKm77rqLGz2BSuRY2ll1mb7U0f7qvs6KCPIxMBEAAAAuRrEKf6+88opWrVqlWrVq6fLLL9fll1+uiIgIrV69Wq+88kpJZ6xUTCajEwCoLLo3rK4+zQqu3pakJTuS9NhXm2W1Oa/8YyUgAAAV3z/PdE9LS1NaWpq+//57/frrr3rkkUeMjgegDKRn5an788sc7VVjeqt9ZJCBiQAAAHCx3IpzUYsWLbRnzx59+umn2rlzpyTplltu0a233ipvb7Z8AIDy4u2h7SRJsV9u0rwNR1UzwEvH0s+t5v5q/RH5errpylZh2pd8Rk98s8Vx3bqnYlS9iqchmQEAQOn65ptvCpzpPmDAAHl7e+umm27Sm2++aVw4AKXubK5Vd3wQ77gJ8LuRXRUeyHc9AAAA5UWxCn+S5OPjoxEjRpRkFkgyiSV/AMrejJuiNOOmKElS+2eXKPl0jiTpg9UJ+mB1QoH57Z9doodjGml0TEPHKkATS5YBAKgQONMdqLyy86yKmfGrjqadlSQtHN1dTcP8DU4FAACAorjowt8PP/yg/v37y93dXT/88MMF51599dWXHKyy4ntzAEZb91SMRn22QT/9efyC815eslsvL9nt1LdzSj95uVtKMx4AAChlf53p/tFHH8nLy0sSZ7oDlUFOvlWdpsUpLStP0rkz/Sj6AQAAlD8XXfgbNGiQEhMTFRISokGDBp13nslkktVqLYlsAACDTL6mhYJ8PXRZkxAlpWerb/MaqurroaU7k3TnB3+c97om4xcpLMBL8x/qriBfjzJMDAAASsorr7yivn37qlatWmrdurUkafPmzfLy8tLixYsNTgegNNhsdt0xZ52j6PfJXR050w8AAKCcuujCn81mK/QxShYL/gC4giBfD02+pkWB/t5NQpUwfaAOp2ap+/PLJEndGwZrxZ4Ux5zj6dlqO+UXSdJrt7RRs5r+ql/dr2yCAwCAS8aZ7kDlM23hDq3Zf1KSNOOm1urWMNjgRAAAACiuYp/x929paWkKDAwsqaertNjqE0B5EBHko4TpAx3ttKxcRU3+pcC8Bz/f6Hg874EuSs/KU0Z2nsIDvdWmdlVZzPyjBwCAK+JMd6DyeHfFfr2z4oCkc0W/69rWMjgRAAAALkWxCn/PPfecIiMjNXjwYEnSjTfeqG+++UZhYWFasGCBYzsYAEDlEOjjoYTpA2W32zXpx+36YHVCgTnXvbG6QN/lTUL03h3tyyAhAAC4WNOmTVNoaKjuvPNOp/45c+YoOTlZTzzxhEHJAJS0L/84rGfm75Akje3fhKIfAABABWAuzkWzZ89WRESEJOmXX37RkiVLtGjRIvXv31+PPfZYiQasbExs9gmgHDOZTHr66ubaP3WAPrmro765v/MF58ftPKGv/jis4+ln9eUfh3UiI1vLdp7QqczcMkoMAAD+7a233lKTJk0K9Ddv3lyzZ882IBGA0vDztkQ9/vWfkqThXSN1T496BicCAABASSjWir/ExERH4e+nn37STTfdpD59+igyMlIdO3Ys0YCVDVt9AqgIzGaT41yQhOkDtWzXCVXz9ZDZZFKov5eenb9d3206Jkl67H9fNvzbP7cSBQAAZScxMVFhYWEF+qtXr67jx48bkAhASft6/RE9+tVmSVLb2oEaP7CZTHwhAQAAUCEUa8Vf1apVdfjwYUnSokWLFBMTI0my2+2yWq0llw4AUCFc1jhErWoFqkV4gKpX8dTMm9uofWTVC14TOWa+6j+5QHa7vYxSAgAASYqIiNCqVasK9K9atUo1a9Y0IBGAkvTlusOOol+PRtX15b2dZebsbQAAgAqjWCv+rrvuOg0ZMkQNGzbUyZMn1b9/f0nSxo0b1aBBgxINCAComL68t7Oe/HarcvNtuq5tuKr6eGhXUoYenrvZMcdqs6vu2AVFXv1ns9n1+/6TenvFfi3flaxv7u+s6DpBJf0SAACokEaMGKH/+7//U15ennr37i1JiouL0+OPP65HHnnE4HQALsXGQ6f0+Dd/77jx9u3RcrMU655wAAAAuKhiFf5efvllRUZG6vDhw3r++efl5+cnSTp+/LgeeOCBEg0IAKiYTCaTpl3X0qmvWU1/DWxZU80mLFK+7e+VfvEHUtU+sup/bj90ODVLX60/om/WH9HRtLOO/uvfXKMD0wawfREAABfhscce08mTJ/XAAw8oN/fcubteXl564oknNHbsWIPTASiuP4+k6do3VjvaO6f0k5e7xcBEAAAAKA0meyXbQy0jI0MBAQFKT0+Xv7+/0XEkSTn5VjUet0iSNP7KZrqrW12DEwGA8f5ISNUNs9cU6B/eNVJP9Gvi+JIiKzdfC7Yk6qs/DmvtgVTHvCqebjqdk+90bc0AL60ee3npBgcAwCAl/VnnzJkz2rFjh7y9vdWwYUN5enqWQMrS54qf+QCjHU07q67Tl0qSqvq4a+UTveXrWax7wQEAAGCAonzOueh3eT/88IP69+8vd3d3/fDDDxece/XVV1/s0+JfWIsCAOe0iwySh8WsXKvNqf/9VQl6f1WCJOn6trW0aOtxZeaeO1/WZJK6NQjWDdG11Ld5DXm6mVV37ALHtcfSs/Vq3B5d2yZch1Kz1KleNVk4zwQAgEL5+fmpffv2OnjwoPbt26cmTZrIbGZLQKC8Sc/K0x1z4h3tBaO7U/QDAACowC56xZ/ZbFZiYqJCQkIu+GHPZDLJarWWWMCS5op3f/5zxd+EK5vpTlb8AYAk6XR2nlo+/fN/zqtTzUc3tK2l66JrKTzQ22ksIztP/WeucNr68y8PxzTS6JiGJZYXAAAjXepnnTlz5igtLU2xsbGOvnvuuUfvvfeeJKlx48ZavHixIiIiSixzaXDFz3yAUXLyrbr93XjFJ6Qq1N9T3z7QVTX/9X4ZAAAArq8on3Mu+nZNm82mkJAQx+Pz/bhy0a884PgpAPhbFS93JUwf6PiZ90AXjb+ymWP8xuha+vLezlr+aC89eHnDAkU/SfL3cteqMb3VvGbB/yC+vGR3qeYHAKA8efvtt1W1alVHe9GiRXr//ff10Ucfad26dQoMDNSkSZMMTAigKKw2u655fZXiE85th//B8A4U/QAAACoB9nZwMdT9AOD82tauqra1qxbrLNT5D3WXzWbXT1uO68t1h7Vyb4okaeiceKWcztH8h7rJxN0XAIBKbM+ePWrXrp2j/f333+uaa67RrbfeKkmaOnWqhg8fblQ8AEX0zPzt2pl4WpL0yV0d1TSMFbAAAACVQbEOaHjooYf06quvFuh//fXX9X//93+XmgkAgFJhNpt0deuaemZQC0ffb7uTtf14huqOXaB3V+w3MB0AAMY6e/as05Yxq1evVo8ePRztevXqKTEx0YhoAIpozsoDjnOxX7k5St0aBhsbCAAAAGWmWIW/b775Rl27di3Q36VLF3399deXHKoyY7UJAJS+yGDfQvufmb9DkWPm66lvt5RxIgAAjFenTh2tX79ekpSSkqJt27Y5fe5LTExUQECAUfEAXKSftyVqyvztkqQx/ZvomqhwgxMBAACgLBVrq8+TJ08W+oHP399fKSkplxyqMqPuBwBlY+eUfsrIztOynSf0xDfOhb5P1x5Sy/AA3dyhtkHpAAAoe8OGDdPIkSO1bds2LV26VE2aNFF0dLRjfPXq1WrRosUFngGA0VbsSdY9H58r4A/pWFv39qhncCIAAACUtWKt+GvQoIEWLVpUoH/hwoWqV483lQAA1+flblFIFS8Nbl9bCdMHaklsD6fxMfO2aMRHfxiUDgCAsvf4449rxIgRmjdvnry8vPTVV185ja9atUq33HKLQekA/Jc9Sad1+3vxkqTuDYM1+erm7CoEAABQCRVrxV9sbKxGjRql5ORk9e7dW5IUFxenl156STNnzizJfJUOb8kBwBgNQqooYfpADXx1hbYdy5Ak/bI9SWv3n1THetUMTgcAQOkzm82aPHmyJk+eXOj4vwuBAFzH5sNpumbWKkf7zdui5WYp1r3eAAAAKOeKVfi78847lZOTo2effVZTpkyRJEVGRurNN9/U0KFDSzQgAABlaf5D3fXWr/s0beFOSdLgt3+XJCVMH2hkLAAAAKBQJ05nOxX9No6/Qn6exfq6BwAAABVAsW//uv/++3XkyBElJSUpIyND+/fvp+hXEtiGAwAMF9MstEDf4dQsA5IAAAAA55eVm6+7Pvh7e/rfHrtMVX09DEwEAAAAoxW78Jefn68lS5Zo3rx5stvtkqRjx47pzJkzJRauMqLsBwDGq1/dTysev0zTr2vp6Ov+/DIDEwEAAADO8qw2NZuwWFuOpivI10PLH+2l2tV8jI4FAAAAgxWr8Hfw4EG1bNlS11xzjUaOHKnk5GRJ0nPPPadHH320RAMCAGCEiCAf3dyhtlNfUka2QWkAAACAv9ntdj321WZH+52h7RQZ7GtgIgAAALiKYhX+Ro8erXbt2unUqVPy9vZ29F977bWKi4srsXCVETt9AoBrWfdUjONxx6lxavX0Yh1NO2tgIgAAAFR2H65O0HebjkmSHu3TSNF1qhqcCAAAAK6iWIW/FStWaNy4cfLwcN43PjIyUkePHi2RYJWVic0+AcClVK/i6dTOyM5X1+lLZbPZDUoEAIAxDh8+rDvvvNPoGEClt3zXCU3+absk6ckBTTSqd0ODEwEAAMCVFKvwZ7PZZLVaC/QfOXJEVapUueRQAAC4ks0T+hToq/fkAkWOma/IMfOVlZtvQCoAAMpWamqqPvzwQ6NjAJXa3hOn9eBnG2WzSzdG19KI7vWMjgQAAAAX41aci/r06aOZM2fq7bffliSZTCadOXNGEydO1IABA0o0YGXDVp8A4HoCfNy1bVJf5dvsaj3p5wLjzSYs1uaJfRTg7W5AOgAASsYPP/xwwfH9+/eXURIAhTmVmas7P/hDp3Py1SEySM9c20ImvkQAAADAvxSr8Pfiiy+qX79+atasmbKzszVkyBDt2bNHwcHB+vzzz0s6IwAAhvP1PPefzD/GxajdM0sKjP9VENw2qa9jLgAA5cmgQYNkMplkt59/O2uKDIAxsnLz1WbKL5KkiCBvvXlbW3m6WQxOBQAAAFdUrK0+IyIitHnzZj311FN6+OGH1aZNG02fPl0bN25USEhISWesVPgYDQCuLdjPUwnTByph+kCteyqmwPgby/cakAoAgEsXFhamefPmyWazFfqzYcMGoyMClZLNZtet7651tN8b1l7V/DwvcAUAAAAqsyIX/vLy8lS/fn3t2bNHt956q55//nm98cYbuvvuu+Xt7V0aGSsVbqAFgPKjehVP7ZzST6/cHOXom7Vsn3GBAAC4BNHR0Vq/fv15x/9rNSCA0jFzyW5tPJQmSXr22hZqFFrF2EAAAABwaUUu/Lm7uys7O7s0sgAAUO54uVt0TVS4Ypr+veL9VGaugYkAACiexx57TF26dDnveIMGDbRs2bIyTATgh83H9OrScztKvHBDK93asY7BiQAAAODqirXV58iRI/Xcc88pPz+/pPNUeiY2+wSAcmnKoBaOx22m/KKf/jxmYBoAAIque/fu6tev33nHfX191bNnzzJMBFRumw6n6bGvNkuS7ulRTze2izA4EQAAAMqDYhX+1q1bp3nz5ql27drq27evrrvuOqefopo1a5YiIyPl5eWljh07Kj4+/rxze/XqJZPJVOBn4MCBxXkproe6HwCUS2EBzttdj/pso9YlpBqUBgCAotu/fz9beQIuIjE9W/d89Idy8m26vEmInujXxOhIAAAAKCeKVfgLDAzU9ddfr759+6pmzZoKCAhw+imKuXPnKjY2VhMnTtSGDRvUunVr9e3bVydOnCh0/rx583T8+HHHz9atW2WxWHTjjTcW56UAAFBiEqY734Ry4+w12pmYYVAaAACKpmHDhkpOTna0Bw8erKSkJAMTAZVT+tk8dZoWpxOnc9Qo1E8zb46SxcxdwgAAALg4bkWZbLPZ9MILL2j37t3Kzc1V79699fTTT8vb2/u/Lz6PGTNmaMSIERo+fLgkafbs2Zo/f77mzJmjMWPGFJgfFBTk1P7iiy/k4+NTYQp/vJUHgPItYfpA1X9ygay2cysm+s1coata19Rrt7QxOBkAABf279V+CxYs0LRp0wxKA1RO+Vabbnt3raP93rD2quLlbmAiAAAAlDdFWvH37LPP6sknn5Sfn5/Cw8P16quvauTIkcX+5bm5uVq/fr1iYmL+DmQ2KyYmRmvWrLmo53jvvfd08803y9fXt9DxnJwcZWRkOP24MpOJ0h8AlHf7pg5QqL+no/3j5mNq/+wS5VltBqYCAMAYRTnaYd68eWrXrp0CAwPl6+urqKgoffzxx2WYFjDWtIU7teVouiTp7dujFRHkY3AiAAAAlDdFKvx99NFHeuONN7R48WJ99913+vHHH/Xpp5/KZiveF5kpKSmyWq0KDQ116g8NDVViYuJ/Xh8fH6+tW7fq7rvvPu+cadOmOW1DGhHBYdgAgNK39skYPX99K0c7+XSOGj610MBEAABc2F/np/+771IU9WiHoKAgPfXUU1qzZo3+/PNPDR8+XMOHD9fixYsvKQdQHny57rDeW3lAkjRrSFv1aV7D4EQAAAAoj4q01eehQ4c0YMAARzsmJkYmk0nHjh1TrVq1Sjzcf3nvvffUsmVLdejQ4bxzxo4dq9jYWEc7IyPDpYt/rPcDgIrjpvYR8vKw6KHPNzr6IsfML3AWIAAArsBut+uOO+6Qp+e5VevZ2dm67777CuyuMm/evIt+zqIe7dCrVy+n9ujRo/Xhhx9q5cqV6tu3b6G/IycnRzk5OY62q+/yAhTmj4RUPfXdFknSQ5c31MBWYQYnAgAAQHlVpBV/+fn58vLycupzd3dXXl5esX55cHCwLBZLgQPjk5KSVKPGhe9sy8zM1BdffKG77rrrgvM8PT3l7+/v9AMAQFm5unVN7Xm2v9ExAAD4T8OGDVNISIhjt5TbbrtNNWvWdNpBJSAg4KKf71KPdrDb7YqLi9OuXbvUo0eP885jlxeUd0fTzuq+T9Yrz2pX/xY19H+XNzQ6EgAAAMqxIq34+/cdoFLhd4Fe7B2gHh4eio6OVlxcnAYNGiRJstlsiouL06hRoy547VdffaWcnBzddtttRXkJLo8j/gCg4nG3mDX7tra675MNkqQPVh3QHV3rGpwKAABn77//fok+34WOdti5c+d5r0tPT1d4eLhycnJksVj0xhtv6Iorrjjv/PK2ywvwT+ln89R1+lJJUtMwf710U2uZzXwxAAAAgOIrUuFv2LBhBfoutfAWGxurYcOGqV27durQoYNmzpypzMxMx1YwQ4cOVXh4uKZNm+Z03XvvvadBgwapWrVql/T7XQ2FPwComHo3+ftLz6d/3E7hDwCA86hSpYo2bdqkM2fOKC4uTrGxsapXr16BbUD/4unp6XRzKlBe2Gx23fDmakf7naHR8vEo0tc0AAAAQAFFekdZ0neAStLgwYOVnJysCRMmKDExUVFRUVq0aJHjrtBDhw7JbHbekXTXrl1auXKlfv755xLPAwBAafBwM6tL/Wpave+kJOnuD9fplZvbyNeTL3cAABVTcY92MJvNatCggSQpKipKO3bs0LRp085b+APKq5lxe7TnxBlJ0gfD26tWVR+DEwEAAKAicIlvG0eNGnXerT2XL19eoK9x48ay2+2lnMoYJrHkDwAqqveHt1fjcYskSUt2nFDziYslSV7uZg2KCtegNuHqVK9irWQHAFRel3K0wz/ZbDbl5OSUUkrAGK8v3aNX4/ZIkl64oZV6NQ4xOBEAAAAqCpco/OFvbPUJABWXp5tF9/eqrzeX73Pqz86z6Yt1h/XFusOSpCWxPdUgxM+IiAAAlKiiHu0wbdo0tWvXTvXr11dOTo4WLFigjz/+WG+++aaRLwMoUSv2JOvFn3dLkga2CtON7TiTEgAAACWHwh8AAGXoiX5N9Hjfxhr+wTot35Vc6JyYGb/qwLQBMnE3CACgnCvq0Q6ZmZl64IEHdOTIEXl7e6tJkyb65JNPNHjwYKNeAlCiElIyNeqzjZKk7g2D9fotbQxOBAAAgIrGZK+oe2aeR0ZGhgICApSeni5/f3+j40iScvKtjq3fXrk5StdEhRucCABQ1o6cylK355Y52rOGtNXAVmEGJgIAlDeu+FnHCPw5wFWdzs7TdW+s1p4TZ9SmdqC+uKeTPN0sRscCAABAOVCUzznmC46izLG6AwAqp1pVfbTn2f6O9sjPNshqq1T35gAAAFRY2XlWtXz6Z+05cUah/p5667Zoin4AAAAoFWz1CQCAi3C3mFU32FcHUjIlSfWfXOA0HntFI93Xs7483LhvBwAAoLyw2+26YfZqR/uNW6MV4u9lYCIAAABUZHxz6GJY7wcAlVtcbM/zjs34ZbcajVuokZ9uKMNEAAAAuBQPfr5RW49mSJJeuKGVoutUNTgRAAAAKjJW/AEA4ELMZpO2TeqrmUt2650VBwqdM3/Lcc0fM1+S1KlekJqG+Su6TlUF+XqoS/3gsowLAACAC3jp51366c/jkqRxA5vqxnYRBicCAABARUfhz8VwxB8AwNfTTU8NbKanBjZz9KVn5emKl3/VidM5TnN/35+q3/en6v1VCY6+3x67TPk2m+pV95MkHTyZqUBvDwX4uMtut1/0ebJ2u12nsvKUmJ6tJjWqKDEjWyaTFBbgfekvEgAAoIL7bXeyXlu6V5L0QK/6urt7PYMTAQAAoDKg8OdiTGz2CQAoRICPu9Y+ebnqjl3wn3N7vLDsop+3UaifHuzdUGdy8rX5cJp2HM/Q5iPp/3ndzMFR6tKgmkKqcD4NAADAvx1OzdJDX2yUJF3bJlyP92ticCIAAABUFhT+AAAoJ0wmkxKmD5Qk5VttOptnlbe7RXP/OKy6wb4a8s7aIj/n7qQzevDzjUW+7v/mbpIk3dOjnp4c0LTI1wMAAFRU2XlW3ffJeqVl5alVrQBNu66l0ZEAAABQiZiNDgBnbPUJALgYbhazqni5y81i1q0d66hL/WAlTB+oj+/qoLH9m6hv81BJ0r096+mNW9tKkupV91X3hsFqUqPKRf2OWzrU1rcPdNGI7nXVNMxfHwxvX2DO27/tV+SY+Vqz72TJvTgAAIByym6366lvt2rbsQwF+Xrozdui5eVuMToWAAAAKhFW/LkY6n4AgEvRvWF1dW9YvUD/XysF/8lutysn36Y8q03uFvN5v5RqU7uq0/OkZeVq8o/bNW/jUUf/Le/8LklaNaa3wgM5AxAAAFROn6w9pG82HJHZJL1+SxveFwEAAKDMUfgDAKCSMplM8nK3FPku9EAfD02/vpXCq3rrtaV7nca6Tl8qSerZqLrCArzk4+Gm3k1ClHwmW4u3JsnT3azvNx1zzI9pGqp3h7W79BcDAABgsPUHT2nyj9skSU/0a6IuDYINTgQAAIDKiMKfi2GrTwBAeeDhZtYjfRrrkT6N9eeRNF39+iqn8V93Jzsez1l14LzPs2RHkiZ+v1VtalfVx78f1Is3tlbdYN9Syw0AAFAaTpzO1gOfrlee1a4BLWvonh71jI4EAACASooz/lwOlT8AQPnSqlagEqYPlJ9n8e4n+nDNQf3f3E1af/CULntxubo9t1TfbjxSwikBAABKR57VplGfblRSRo4ahvjp+Rtay8RdvQAAADAIK/4AAECJ2DqpryQp5UyOzCaTgnw9dDg1S+4Ws6r6usvTzXlL0bs/XKclO04UeJ4jp87q4bmb9fDczZKk+3rW1+jLG8rbo2hbkgIAAJSFqQt2KD4hVX6ebpp9e3Sxb4YCAAAASgLvRl0MNwUCAMq7YD9Px+OIIJ/zznt3WHvZbHYdTTurUH8vtZq0WNl5tgLzZv+6T7N/3SdJWv5oL1X18ZCvp0VuFjYuAAAAxvp+01G9vypBkvTSTa1Vv7qfsYEAAABQ6VH4AwAAhjGbTY7i4M4p/SVJ8QdS9Urcbq3ae7LA/F4vLr/g8+2Y3I+VgQAAoExsP5ahJ775U5I06rIG6tu8hsGJAAAAAAp/LocFfwCAyq5D3SB9encnSefOzGn/7BKlZeVd1LVNJyxSVR93LX/0MlXxcpPZzH9ZAQBAyTuVmasBr66QJPVoVF0PX9HI4EQAAADAORT+XAwHgAMA8Dd3i1mbJvSRJH0Rf0iJGdkKC/DSE99sOe81p7Ly1Hryz4721kl9OWsHAACUGJvNroe+2OhovzI4ShZuNgIAAICL4FswAABQLtzcobbj8eD2tQuMR46ZX+h1LSYuliQ9f0MrXdWqJluBAgCAS/La0r1asSdFHhaz5j3QRVV9PYyOBAAAADhQ+HMx3CMIAEDxJEwfKElKzczVvA1H9Mz8HU7jj3/9px7/+tw5PDun9JOXOwVAAABQNL/tTtbMuN2SpKnXtVSL8ACDEwEAAADOzEYHgDN2+gQA4NIE+Xro7u71tG/qAI26rEGhc5qMXyS73V7GyQAAQHl2NO2sRn+xUXa7dEuHCN0QXcvoSAAAAEABFP4AAECFZDGb9GjfxkqYPlB7nu2vZwa1cBqvO3aBVu9NUZ7VZlBCAABQXuTm2zTy0w06lZWnFuH+mnhVc6MjAQAAAIViq08AAFDhuVvMuq1THfVsVF3dn1/m6B/y7lqneXWDfbVwdHe2AQUAAE6enb9dmw6nyd/LTW/eGs17BQAAALgsVvy5GLb6BACg9EQE+WjF45edd/xASqaajF+kyDHztXpfiiZ8v1V3f7iObUEBAKjEvt90VB+uOShJenlwlCKCfAxOBAAAAJwfK/4AAEClEhHko73P9temw2m6YfYa+XhYlJVrLTBvyDt/rwasO3aBJOmXh3uoYWiVMssKAACMtSfptMZ8s0WSNPKy+rq8aajBiQAAAIALo/AHAAAqHTeLWe0ig5QwfaBT/4Itx/XApxvOe90VL/8mSZpyTXPd3jmyNCMCAACDncnJ132frNfZPKu61K+m2CsaGx0JAAAA+E8U/lyMSez1CQCAUQa0DNOBaQO0PyVTtap6y81sVrtnftGprDyneeO/36akjBw92pcvAAEAqIisNrtaTFwsSQr199Srt7SRxczndQAAALg+zvgDAAD4B5PJpPrV/eTpZpHFbNLGCX2UMH2gfhzVzWne68v2KnLMfINSAgCA0vRK3B7H41lD2irYz9PANAAAAMDFo/AHAABwEVrWClDC9IF66/Zop/6H524yJhAAACgV8QdS9frSc4W/WzrUVrvIIIMTAQAAABePwh8AAEAR9G1eQysev8zR/nbjUXWaGie73a6zuVZHv91uNyIeAAC4BKmZuXro842y2aXr2oRr2nUtjY4EAAAAFAln/LkajgwAAMDlRQT56O5udfXuygOSpMSMbNUdu6DQuVU83bTw/7qrZoC3thxN18e/H9TZXKtm3hwldwv3YAEA4Crsdrse+2qzEjOyVS/YV1MGtTA6EgAAAFBkFP4AAACKYdyVzdS+bpDu/Xj9BeedzslXt+eWFeifv+W4JOmr+zqrPVuIAQBguPdWHlDczhPycDPrtSFt5OvJVyYAAAAof7jNHAAAoJj6Nq+hP8bFaGjnOppxU2s1qVFF7SOr6vImIRf9HDfOXqOlO5NKMSUAAPgvmw+n6blFOyVJ4wc2VfOaAQYnAgAAAIqH29dcDDt9AgBQvgT7eWryNee2Aruuba0C4yfP5Cj+QKrsktpFVpWb2ay2U35xmnPnB38oYfrAsogLAAD+JSM7T6M+36A8q139W9TQbZ3qGB0JAAAAKDYKfwAAAKWomp+n+rcMc+r7q8gXOWa+oy9yzHwtf7SXPN3NCgvwLtOMAABUVna7XWPnbdHh1LOqVdVb069vJZOJW3IBAABQfrHVJwAAgEF+friHU7vXi8vVedpSRY6Zr6NpZw1KBQBA5fFZ/CHN//O43MwmvXZLGwV4uxsdCQAAALgkrPhzMdxZCABA5dEotIp2TO6nphMWFRjrOn2pJKlf8xqqW91Xe0+c0Wu3tJGXu6WsYwIAUCHtOJ6hyT9ulyQ93q+x2tSuanAiAAAA4NJR+AMAADCQt4dF+6cO0Mq9KTqeflZPfLPFaXzRtkTH4ybjF2nzxD5avC1RA1qGyc+Tt3IAABRHVm6+Rn22QTn5NvVqXF13d6tndCQAAACgRPBtEQAAgMHMZpN6NKouSRrcvrYysvPU6umfC53betK5/se//lPTrmupWzrULrOcAABUFBO+36Z9yZkK9ffUSze2ltnM7jsAAACoGCj8uRg+agAAAH8vdyVMHyhJyrfa5GYxK3LM/ALzxs7bIqvNrts61SnriAAAlFvzNhzR1+uPyGySXrm5jar5eRodCQAAACgxZqMDAAAA4PzcLOferm2d1FcPxzTSZyM66qZ2tRzj477bqpveWqPsPKtREQEAKDf2JZ/RuO+2SpJGX95InepVMzgRAAAAULIo/AEAAJQDfp5uGh3TUF3qB+v5G1rrji6RjrH4A6lqMn6Rth5NNy4gAAAuLjvPqlGfbVRWrlWd61XTqN4NjI4EAAAAlDi2+nQxJvb6BAAAF+Hpq5tLkj5YneDou/K1lY7Hr9wcpfSzeTqVmaerWoepdpCPY/UgAACV0bPzd2jH8QxV8/XQzJujZOFcPwAAAFRAFP4AAADKqaevbq6nr26uNpN/1qmsPKex0V9scjx+eclup7E3b22r/i3DyiIiAAAuYeGW4/r494OSpJduaq1Qfy+DEwEAAAClg9u+AQAAyrmNE/rok7s6XvT8+z/doP6vrJDVZi/FVAAAuIbDqVl6/Js/JUn39qynXo1DDE4EAAAAlB5W/LkYk9hqBAAAFF23hsFKmD5Q0rkzjEwmydPNohMZ2TqadlYbD6Vp8k/bHfN3HM9Q/ScXaMXjlykiyMeo2AAAlKrcfJtGfb5Rp7Pz1aZ2oB7t09joSAAAAECpYsUfAABABePlbpGnm0WSFOLvpTa1q+rObnWVMH2gwgO9neZ2f36ZIsfM1+HULCOiAgBQql78eZc2H06Tv5ebXruljdw57xYAAAAVHO94AQAAKpFVY3prxeOXFej/qwCYnWc1IBUAACVv2a4Tevu3/ZKk529orVpVWeEOAACAio/Cn4sxsdMnAAAoZRFBPjowbYAe7dOowFiT8Yt027trlZSRLbudMwABAOVTYnq2HvlysyRpWOc66teihsGJAAAAgLJB4Q8AAKASMplMGtW7oRKmD9SS2J5OYyv3pqjj1DjVHbtAe5JOG5QQAIDisdrsGv3FRqVm5qp5TX+NHdDU6EgAAABAmaHwBwAAUMk1CPHTgWkD9Nz1LQuMXfHyb1qxJ9mAVAAAFM+rcXu09kCqfD0sen1IW3m5W4yOBAAAAJQZCn8uhp0+AQCAEUwmkwa3r63dz/TXr4/1UrCfp2Ps9vfitfVouoHpAAC4OKv3pejVpXskSc9e21J1g30NTgQAAACULQp/AAAAcPBwM6tONV/9MS5GAd7ujv4rX1ups7lWA5MBAHBhKWdy9H9fbJLdLt3UrpYGtQk3OhIAAABQ5ij8AQAAoFAbxl/h1G46YZFBSQAAuDCbza7YLzfrxOkcNQjx09NXNzc6EgAAAGAICn+uhr0+AQCAi7CYTUqYPtCpL3buJmXm5BuUCACAwr29Yr9+250sTzezZg1pKx8PN6MjAQAAAIag8AcAAIAL2j91gOPxvI1H1XziYmXlUvwDALiG9QdP6cXFuyRJT1/dXI1rVDE4EQAAAGAcCn8AAAC4ILPZpF6Nqzv1NZuwWM/8tN2gRAAAnJOelaeHPt+ofJtdV7WuqZvbRxgdCQAAADAUhT8XY2KvTwAA4II+GN5BmyY4n/n37soD+iMh1aBEAMqLWbNmKTIyUl5eXurYsaPi4+PPO/edd95R9+7dVbVqVVWtWlUxMTEXnI/KzW63a8y8P3U07axqB/lo6rUtZDLxmRoAAACVG4U/AAAAXJRAHw/tfqa/nhzQxNF3w+w16v3icuNCAXBpc+fOVWxsrCZOnKgNGzaodevW6tu3r06cOFHo/OXLl+uWW27RsmXLtGbNGkVERKhPnz46evRoGSdHefBZ/CEt3JooN7NJr93SRlW83I2OBAAAABiOwh8AAAAumoebWff0qK/+LWo4+vanZOrr9UcMTAXAVc2YMUMjRozQ8OHD1axZM82ePVs+Pj6aM2dOofM//fRTPfDAA4qKilKTJk307rvvymazKS4uroyTw9XtSjytyT+e23L68X6N1Toi0NhAAAAAgIug8Odi2JUEAACUB2/eFq2fH+7haD/61Wa9vnSPgYkAuJrc3FytX79eMTExjj6z2ayYmBitWbPmop4jKytLeXl5CgoKOu+cnJwcZWRkOP2gYjuba9XdH61TTr5NPRpV193d6hkdCQAAAHAZFP4AAABQLI1Cq+jm9hGO9os/71ZCSqaBiQC4kpSUFFmtVoWGhjr1h4aGKjEx8aKe44knnlDNmjWdiof/Nm3aNAUEBDh+IiIizjsXFcPt763V4dSzkqQZN7WW2cwdtAAAAMBfKPwBAACg2J69tqVuiK7laPd6cbmmLdxhYCIAFcX06dP1xRdf6Ntvv5WXl9d5540dO1bp6emOn8OHD5dhSpS17zYe1R8HT0mS3r+jvYL9PA1OBAAAALgWN6MDwBn3KQIAgPLEYjbphRtaOZ3x99av+/XWr/slnTt36YFeDYyKB8BAwcHBslgsSkpKcupPSkpSjRo1znPVOS+++KKmT5+uJUuWqFWrVhec6+npKU9Pij+VweHULI37bqskafTlDXVZkxCDEwEAAACuhxV/AAAAuCQmk0kHpg3Qc9e3LDD2/KJdihwzX7/tTjYgGQAjeXh4KDo6WnFxcY4+m82muLg4de7c+bzXPf/885oyZYoWLVqkdu3alUVUlAP5VptGf7FRZ3Ly1a5OVT3Ym5tKAAAAgMJQ+AMAAMAlM5lMGty+ttaPi1GLcP8C40PnxOuVJXtkt9sNSAfAKLGxsXrnnXf04YcfaseOHbr//vuVmZmp4cOHS5KGDh2qsWPHOuY/99xzGj9+vObMmaPIyEglJiYqMTFRZ86cMeolwEW8unSvNhxKUxVPN708OEpuFr7OAAAAAArDVp8AAAAoMdX8PPXTg90lSXlWmxo+tdAx9vKS3Xp5yW7Nvi1aPh4WdW8YLJOJjc6Bimzw4MFKTk7WhAkTlJiYqKioKC1atEihoaGSpEOHDsls/ruA8+abbyo3N1c33HCD0/NMnDhRTz/9dFlGhwuJP5Cq15fukSQ9c20LRQT5GJwIAAAAcF0meyW77TojI0MBAQFKT0+Xv3/Bu9GNkJNvVeNxiyRJX97bWR3qBhmcCAAAoOQ8/cM2fbA6odCxfVMHyGKm+AeUBFf8rGME/hwqlhOns9Xh2XPbxV7XNlwzbooyNhAAAABggKJ8zmFvDAAAAJSqp69urv1TBxQ6Vv/JBXpj+V62AAUAFOruD/9wPJ58TQsDkwAAAADlA1t9AgAAoNSZzSbtfqa/zuZaZbXb1XbKL46x5xftUlUfD93SobaBCQEAruaHzcf055F0SdLs29rKz5OvMAAAAID/woo/F8MxNwAAoKLycDMrwMddQb4eOjBtgFqE/701xdh5W7R4W6JSzuQYmBAA4CqSMrI1/rutkqSHLm+ofi3CDE4EAAAAlA8U/gAAAFDmTCaTfnqwu6LrVHX03fvxerV7ZoniD6QamAwAYDS73a4nvvlT6Wfz1CLcXw/2bmB0JAAAAKDcYJ8MAAAAGGbOHe3VetLPTn03vbXG8fixvo3Vo2F1tawVUNbRAAAG+WLdYS3flSwPN7NevilK7hbuWQYAAAAuFu+eXQw7fQIAgMokwNtdCdMHatukvnK3FHwn9MLiXbrq9ZWKHDNf+VabAQkBAGXp0MksPfPTdknSY30aq2FoFYMTAQAAAOWL4YW/WbNmKTIyUl5eXurYsaPi4+MvOD8tLU0jR45UWFiYPD091ahRIy1YsKCM0gIAAKA0+Hq6ac+zA/TlvZ3l62EpdE6DpxZqd9LpMk4GACgrVptdj361WZm5VnWIDNKd3eoaHQkAAAAodwzd6nPu3LmKjY3V7Nmz1bFjR82cOVN9+/bVrl27FBISUmB+bm6urrjiCoWEhOjrr79WeHi4Dh48qMDAwLIPDwAAgBLXoW6Qtk3u52ifyMhWh6lxjnafl3/Tu0PbKaZZqBHxAAClaM7KA4pPSJWPh0Uv3thaFjN74gAAAABFZeiKvxkzZmjEiBEaPny4mjVrptmzZ8vHx0dz5swpdP6cOXOUmpqq7777Tl27dlVkZKR69uyp1q1bl3Hy0mPicw0AAIBDiL+Xdk7p59R390d/aF1CqnLzz239abfbZbfbjYgHACghu5NO64Wfd0mSxl/ZTLWr+RicCAAAACifDFvxl5ubq/Xr12vs2LGOPrPZrJiYGK1Zs6bQa3744Qd17txZI0eO1Pfff6/q1atryJAheuKJJ2SxFL4lVE5OjnJychztjIyMkn0hAAAAKFVe7hYlTB+obs8t1ZFTZyVJN84u+H6xZXiAfnywW1nHAwBcojyrTbFfblJuvk29GlfXze0jjI4EAAAAlFuGrfhLSUmR1WpVaKjzNk2hoaFKTEws9Jr9+/fr66+/ltVq1YIFCzR+/Hi99NJLeuaZZ877e6ZNm6aAgADHT0QEHyAAAADKo5VP9L7gl8FbjqYrcsx8xR9ILcNUAIBL9drSvdp6NEMB3u567vpWMrEVDgAAAFBshp7xV1Q2m00hISF6++23ZbFYFB0draNHj+qFF17QxIkTC71m7Nixio2NdbQzMjJcvPjHBxwAAIDzmX59Kz19dXPtSz6jNftOal/yGTWp4a+JP2xzzLnprXOrAV+6sbWuj65lVFQAwEXYfDhNs5btlSRNGdRCof5eBicCAAAAyjfDCn/BwcGyWCxKSkpy6k9KSlKNGjUKvSYsLEzu7u5O23o2bdpUiYmJys3NlYeHR4FrPD095enpWbLhAQAAYBgvd4ua1wxQ85oBjr66wb4aOifead4jX23WI19tliS9N6ydLm/qvNMEAMBY2XlWxX65SVabXVe2CtPVrWsaHQkAAAAo9wzb6tPDw0PR0dGKi4tz9NlsNsXFxalz586FXtO1a1ft3btXNpvN0bd7926FhYUVWvQDAABA5dCjUXUlTB+oeQ90KXT8rg//0EOfb9TITzfo4bnnzpECABjrhcW7tC85U9WreGrKNS2MjgMAAABUCIYV/iQpNjZW77zzjj788EPt2LFD999/vzIzMzV8+HBJ0tChQzV27FjH/Pvvv1+pqakaPXq0du/erfnz52vq1KkaOXKkUS+hxHGUAQAAQPG1rV1VCdMHasXjl+nGf23z+cPmY5q/5bi+3XhUjcYtVOSY+fpm/RGDkgJA5bZm30m9t/KAJOn561upqi838wIAAAAlwdDC3+DBg/Xiiy9qwoQJioqK0qZNm7Ro0SKFhp7bhunQoUM6fvy4Y35ERIQWL16sdevWqVWrVnrooYc0evRojRkzxqiXAAAAABcUEeSjF25srYTpA1Wnms955z3y1WZFjpmv/2/v3uOiqvM/jr/PcBnwAmooqKF4V9S8lSyWkYZpUuluF7vq2m23dHeTnxVekn6ZwnYx+22W5Wq67ba63dtQy0htvZR5wdRQU0RIA8USEC8DM+f3R9sUiSXKzJkZXs/HYx4N3/MdfI99o/nwOed7XC7Ti+kAoH4rP1mpif/divnmS2I1qGsLixMBAAAAgcMwTbNe/ZajrKxMkZGRKi0tVUREhNVxJEmnqpzqMnW5JOnN+weob5umFicCAAAIXIXfHNeDr2/VJ3nfVBv/MDVJHVs0sigVcP58sdaxAn8Pvu/h1z/Xko2FurBpuJY/cLka2YOtjgQAAAD4tNrUOXy69jHs9AkAAOBZsc0aaPG9iTpUdlL9Z/5wv+nkWasVGmRTRHiIPpqYpIiwEAtTAkBgys4t1pKNhTIM6ekbe9H0AwAAAOqYpVt9AgAAAFZpERGm1Q9eUW3M4XSp5NgpXfToBzpZ6bQmGAAEqG8qHHr4jW2SpLsubaeE9hdYnAgAAAAIPDT+AAAAUG+1vaCh8jNT9ODQLqcd6/rIcnWYvFT1bGd8APAI0zT1yNvbVXLslDq2aKSJNfzcBQAAAHD+2FPDxxgGm30CAAB427hBHTVuUEftPXxMVz692j3udJlqN2mp+2vuAwgA5+bdrQeVte1rBdsMPXNTb4WFBFkdCQAAAAhIXPEHAAAA/FeH5o2Un5miN+5LrPF48qzVmpH1hbZ9VSpHlcvL6QDAPxWVntS0d3ZIksYP7qieF0ZanAgAAAAIXDT+AAAAgJ/o17aZdj9+tTo0b6hmDUOrHZv3n3269rk16jx1mV5cvVffVjgsSgkAvs80TT38xucqPVGpnq0jNW5QR6sjAQAAAAGNrT59DBt9AgAA+IbQYJuy/+cK99fDZn+snUXl1eZkLNupjGU79dCwLrr/Cn6ZDQA/9eqGAq3efVihwTbNuqmXQoI4/xgAAADwJBp/AAAAwFlY/sDlkr67euXH9/2TpCeW79Kxk1X645WduG8VAPzX/iMVmpGVK0l6aGgXdYpubHEiAAAAIPBxqh0AAABQC4ZhKD8zRfmZKRrRu5V7/PlVe9X1keXKzi22MB0A+Aany9TE17bquMOphHbNdOel7ayOBAAAANQLNP58jMFenwAAAH5jSkq308buWrRRcWlZ2l1crlNVTgtSAYD1/vqfPH2W/60ahgbpqRt7yWaj2AUAAAC8ga0+AQAAgHPUonGY8jNTJEljFmzQ6t2H3ceueuZj9/MPJlyuzmxxB6Ce2HOoXE9/sFuS9Mg18Ypt1sDiRAAAAED9wRV/AAAAQB1YdGd/vfzbS2o8dtUzH+uEg6v/AAQ+p8vUQ69/LofTpSu6NNeoS2KtjgQAAADUKzT+fIwhtj8BAADwV4O6tlB+Zor2ZQzXyolXVDt2w9x11oQCAC/62/p8bS44qoahQZr5654yuJ8FAAAA4FU0/gAAAIA6ZhiG2kU1dG8DKkk7DpbpL9lfqsrpsjAZAHhO4TfH9cTyXZKktOHd1KpJuMWJAAAAgPqHxh8AAADgQY9eG+9+/vSK3eo4ZZni0rL07taDFqYCgLplmqYmvblNJyqd6t+umW7r38bqSAAAAEC9ROPPx7ALCgAAQGAZMyBOzRvbTxv/4z+3KC4tS4OfWqWthUe9HwwA6tBrG7/Smj0lsgfb9OfrL5LNRnELAAAAWCHY6gAAAABAIDMMQ59NSZZpmtpSeFS/eb76vf7ySio0Ys5aSdLemcMVxC/LAfiZ4rKTmp71hSTpf67qrHZRDS1OBAAAANRfXPEHAAAAeIFhGOrbpqnyM1O0L2N4jXM6TF6quLQsfVlc7uV0AHBuTNPU1Le3q/xklS66MFJ3XtrO6kgAAABAvcYVfwAAAICXGYah/MwUSdLBoyc0IPOjaseHPPNxta+npnTT0O4xat0knO3zAPiU9z7/Wiu+KFZIkKEnbrhIwUGcXwwAAABYiU/kAAAAgIVaNQnXlzOu1mMjup9xzuNZuRr4xEq1n7xUoxdsUKXT5cWEAFCzbyocevTdHZKk+6/oqK4xERYnAgAAAEDjDwAAALBYSJBNoxPjlJ+Zoj0zrtafr++pqEahNc79ePdhZS7b6eWEAHC6x/69Q0cqHOoc3UjjBnW0Og4AAAAAsdUnAAAA4FOCg2wadUkbjbqkjXvshMOpZz7crZc+zpMkzV+zT/PX7JMk7X78aoUGcz4fAO/6aGex3s45KJshPXFDL34OAQAAAD6CT+Y+xuCWLQAAAPiJ8NAgTR7eTXNv73vasc5TlykuLUsVp6osSAagPio/WanJb26XJN11WTv1jm1ibSAAAAAAbjT+AAAAAD8xrEdLrZhweY3Huqe/r18/v1b7j1R4ORWA+iZj2U4VlZ1U2wsaKHVIF6vjAAAAAPgRtvoEAAAA/Ein6MbKz0yRJI1/dbPe+/xr97EtBUeV9OQqSdKv+7TWkzdcJJthyGZjWwkAdWP93iN69dMCSVLmby5SeGiQxYkAAAAA/BiNPx9jiF/KAAAA4Ow8d2tfPXerlPt1ma5+9j/Vjr215YDe2nKg2tizN/fWld2i1chOGQCg9k44nEp783NJ0q0JbZTY4QKLEwEAAAD4KSp+AAAAwM91axmhfRnDZZrSg69/rjc2f1XjvD8tznE/z5s5nCsBAdTKrBW7tP/IcbWMDNOkq7taHQcAAABADWj8AQAAAAHAMAwZhvT0Tb309E29VFR6UjmFR1X4zXHNWJp72vz2k5dKkv50ZSfFt4rQyp2HFBfVUEWlJ/XHKzupWcNQb78FAD4sp/Co5q/ZJ0ma8eseahwWYnEiAAAAADWh8edjDE66BgAAQB2IiQzTsMgYSdI9l7eXJC3eUKC0N7dVm/ds9penvXbhunwt+O3FGtw12vNBAfi8U1VOPfT6VrlMaWTvVvxsAAAAAHyYzeoAAAAAALzj5v5tlJ+Zor/flfCLc+9cuFHHHVVeSAXA181ZuVe7i4/pgoahmnZtd6vjAAAAAPgZXPEHAAAA1DOXdYpSfmaKJKn0RKUiwoJlGIa+rXCoz/QV7nnx097XnhlXKziI8wWB+ir36zI9v3KPJOl/R3RnG2AAAADAx1HB+xi2+gQAAIA3RYaHyPjvh9CmDUO1L2N4teMdpyxTUelJK6IBsFiV06WH3/hcVS5TQ+KjldKzpdWRAAAAAPwCGn8AAAAA3AzD0N6Z1Zt/v8rI1ro9JXJUuSxKBcAK89fs0+dflapxWLAeH9nDfZIAAAAAAN9F4w8AAABANUE2Q1vTr6o2dutfP1XnqcsUl5bFvf+AemBfSYVmrdgtSXokJV7REWEWJwIAAABwNmj8+RhDnEEJAAAA60WGhyg/M0XNG9tPOxY/7X3FpWXp6HGHBckAeJrLZerhNz7XqSqXLusYpRsvvtDqSAAAAADOEo0/AAAAAGf02ZRk7csYrnVpg0871vuxFXr03R0WpALgSf/aWKgN+75ReEiQMn7Tky0+AQAAAD9C4w8AAADAzzIMQ62ahCs/M0XTromvdmzhunzFpWVZlAxAXSs5dkoZy3ZKkv7nqs6KbdbA4kQAAAAAaoPGn4/hREoAAAD4sjsva6f8zBSlX1u9AUjzDwgMM7JyVXqiUvEtI/TbAXFWxwEAAABQS8FWBwAAAADgf8Ze2k43XRyr7unvu8d+3Pz7fVIHpV3d1YpoAM7R2j0lemvLARmGNPM3PRUcxLnCAAAAgL+h8QcAAADgnDS0B2v9pMFKzPjotGNzV+/V3NV7q42tSxusVk3CvRUPQC2crHRq6tvbJUl3/Kqtesc2sTYQAAAAgHPC6Xs+hp0+AQAA4E9aRoZr78zhmj6iu+JbRqjXzzQLRr203nvB4DPmzJmjuLg4hYWFKSEhQRs2bDjj3B07duj6669XXFycDMPQ7NmzvRe0nnt+1V7tK6lQi8Z2TRzaxeo4AAAAAM4RV/wBAAAAOC9BNkN3JMbpjsQ4SZLLZSpjWa4ahAZrX0mF3t16UJJU+M0JlZ+sVOOwEAvTwpuWLFmi1NRUzZ07VwkJCZo9e7aGDh2qXbt2qUWLFqfNP378uNq3b68bb7xREyZMsCBx/bT38DHNXfXdFbrp13ZXBP+NAgAAAH6LK/4AAAAA1CmbzdCUlHhNGNJZ/3dLHz11Yy/3sZ6PfqCVuw5ZmA7eNGvWLN1zzz0aO3as4uPjNXfuXDVo0EALFiyocf4ll1yiJ598UjfffLPsdvtZ/RmnTp1SWVlZtQfOnmmamvLWNjmcLl3RpbmG94yxOhIAAACA80Djz8cY7PUJAACAAJPSs2W1r8e+/Jni0rL06qcFMk3TolTwNIfDoU2bNik5Odk9ZrPZlJycrPXr627b14yMDEVGRrofsbGxdfa964M3Nh/QJ3nfKCzEpukjesigKAUAAAD8Go0/AAAAAB4VHhqk/MwUJXervrXj5Le2qd2kpXp/R5FFyeBJJSUlcjqdio6OrjYeHR2toqK6+3c+adIklZaWuh+FhYV19r0D3bcVDs1cmitJ+tOVnRXbrIHFiQAAAACcL+7xBwAAAMAr/jrmEh0qO6n+M7Orjf/ulU3u5y/c1ldX/+QKQeDn2O32s94WFNVlLMvVNxUOdYlurLsHtrM6DgAAAIA6wBV/PodtVQAAABC4WkSEKT8zRXkzh9d4/L5/bFaV0+XlVPCEqKgoBQUFqbi4uNp4cXGxYmK4j5zVPs07on9t/EqSNPM3PRQSxK8HAAAAgEDAJ3sAAAAAXmezGcrPTFF+Zor+dmf/asc6TlmmuLQsvbn5K4vSoS6EhoaqX79+ys7+4QpPl8ul7OxsJSYmWpgMjiqXpry9XZJ0S/826te2mcWJAAAAANQVGn8AAAAALHV55+bKz0xRj9YR1cZT/7VV6e9sVyVXAPqt1NRUzZs3T4sWLVJubq7uu+8+VVRUaOzYsZKk0aNHa9KkSe75DodDOTk5ysnJkcPh0IEDB5STk6M9e/ZY9RYC0ksf79WeQ8cU1ShUacO6Wh0HAAAAQB3iHn8+xmCnTwAAANRT7/1hoL6pcKjv9BXusUXr92vR+v2SpOdv66vBXVsoLCTIqoiopVGjRunw4cOaNm2aioqK1Lt3by1fvlzR0dGSpIKCAtlsP5yPevDgQfXp08f99VNPPaWnnnpKSUlJWrVqlbfjB6T8kgr930ffNVIfuSZekQ1CLE4EAAAAoC7R+AMAAADgM5o1DFV+Zoo+2lmsOxdurHbs/n9sliTtfvxqhQazeYm/GD9+vMaPH1/jsZ828+Li4mSaphdS1U+maeqRd7bLUeXSZR2jdF2vVlZHAgAAAFDHqJYBAAAA+JzBXaO1L2O4Fv3k/n+S1Hnqd/cAXLbtawuSAf7r3a0H9Z8vSxQabNPjI3vIYMsZAAAAIODQ+PMxlF0AAADAdwzDUNJ/7/+Xn5ly2vH7/rFZcWlZWr69iKvEgF9QerxS09/7QpL0h0EdFRfV0OJEAAAAADyBxh8AAAAAv7Dr8WGaN/ri08Z///dNajdpqb6pcFiQCvAPf35/p0qOOdSheUPdm9Te6jgAAAAAPITGHwAAAAC/YA8O0pD4aOVnpujjBweddrzv9BWKS8vSCYfTgnSA79q0/1u9+mmBJGnmr3vKHhxkcSIAAAAAnkLjz8dwjwUAAADgl7W5oIHyM1OUN3P4ace6TVuuuLQsnaqiAQhUOl2a8tY2SdKN/S5UQvsLLE4EAAAAwJNo/AEAAADwWzabofzMFC2591enHXvo9c8tSAT4loVr87WzqFxNG4Ro0vBuVscBAAAA4GE0/gAAAAD4vYT2F2hfxnD9/a4E99g7OQcVl5Yl0zQtTAZYp7jspGZ/uFuSNOnqbmrWMNTiRAAAAAA8jcafD+D3EAAAAMD5MwxDl3WK0t/u7F9tvN2kpRYlAqw1IytXFQ6n+rRpohv6XWh1HAAAAABeQOPPx3CHPwAAAOD8XN65+Wn3/otLy1KV02VRIsD71u0t0btbD8owpOkjeshmo9oEAAAA6gMafwAAAAACjs1maM+Mq6uNdZyyzKI0gHdVOl1Kf2eHJOn2hLbq0TrS4kQAAAAAvIXGHwAAAICAFBxkU860IdXGOk1Zqs+/OmpNIMBLFq7N15eHjqlZw1BNvKqL1XEAAAAAeBGNPx9jsPsKAAAAUGeaNAjV9v8d6v660mnquufWKi4tSx0nc+8/BJ7ispOa/eFuSVLasK6KbBBicSIAAAAA3kTjDwAAAEBAa2QP1tM39jptvMplKi4tS2lvfC6Xy7QgGVD3ZmTlqsLhVJ82TXRDvwutjgMAAADAy2j8+QCT3zEAAAAAHnV9vwuVn5mi/MyU05qAiz8rVPvJS+Wk+Qc/t37vEb279aAMQ5o+oodsNraUAQAAAOobGn8+xhCFGQAAAOBJ1/e7UPsyhmv8oI7VxjtMXqpD5SctSgWcn0qnS9Pe2S5Juj2hrXq0jrQ4EQAAAAAr0PgDAAAAUO8YhqGJQ7vovT9cVm28/4xsFRw5blEq4NwtXJuvLw8dU7OGoZp4VRer4wAAAACwCI0/H2CKLYUAAAAAK/RoHant/zu02tjlT67UnJV7LEoE1F5x2UnN/nC3JCltWFdFNgixOBEAAAAAq9D48zEGO30CAAAAXtXIHqz8zBT9qn0z99iT7+/S1sKj1oUCamFGVq4qHE71adNEN/S70Oo4AAAAACxE4w8AAAAAJC2+N1GZv+np/nrEnLUWpgHOzvq9R/Tu1oMyDGn6iB6y2TibFAAAAKjPaPz5AJOdPgEAAACfcHP/NtWumJry1jYL0wA/r9Lp0rR3tkuSbk9oqx6tIy1OBAAAAMBqNP4AAAAA4EeeuP4i9/N/fFpgYRLg5y1al68vDx1Ts4ahmnhVF6vjAAAAAPABNP4AAAAA4EdsNkPP3tzb/fULq/ZaFwY4g+Kyk3pmxW5JUtqwropsEGJxIgAAAAC+gMafD2CnTwAAAMC3DO/Z0v38z8t3WpgEqNmMrFxVOJzq06ZJte1pAQAAANRvNP58jMF92AEAAADLhQTZ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TFa1savTtI9/tKq61C/NTAdAVkmIktZPkLbPk2RIbr5Sy/GW6T0dmaQQuFcU/pDvXL58WfPnz1d4eLgiIiIkSYGBgWrYsKG6d++uokXTTvf4T4mJiUpMtJ2O0dXVNcOp4ZC7uDg7aXSfttbt1NRUTf9knca894NNv+oVS2hUrzaa/uk67Tx4NluyvPjkg2rRoLLa95vNFJ9ALrRm1SqtW/v3TX/VqtX01jvTFRRU8rbHRly4oLcmvik3Nzf1f2mQzb6rV65Kkr7/7luVKBGkj+Z/omrVquv0mdOa9MZ4rVz+o/z9AzTkf8Oy9oIAAAAAZGjqmsN6b8Mxm7aPutZRi8r+FPyArBR7WZrTSLph+VxWNTpJrd6UvDL/TBbAnaN8jnxl+/btqlixot599135+vqqSZMmatKkiXx9ffXuu++qUqVK+uOPPzJ9j0mTJsnX19fma9KkSTl0BbhXsfFJcq81QB61X1L50NEaPPlrdX+sodZ8NEjenpZ1tpwLOOmj8V10/OwlvfnBT9mSo0yJwpo4+DEt/G6r1oUfzJZzALg3U2e8q937D+uX8O36aP4nKuDsrGeeely//xae6XHXr19T/769dPXqFY15fbzKBNtOE2wYqZIsDx68PXW66tarLw9PT1WuXEXT350tDw8PffnFIiUlJWXbtSF/YY0/AACAjF2MTlCZESvSFP1OTmqrllUC+F0HyGqeRaRS9SS/clLX76XHP6ToB2QxRvwhX3nppZf05JNPau7cuWl+cTMMQ3369NFLL72k8PCMP9QdOXKkhg4datPGaL+8xzAMnbt4XR8t2aIr12K1aMoLGv5CqEa/+72GPd9K1coXV7PuU5V0Mzlbzj937LOKionT8KnfZsv7A8g6Pj4+qluvvt7/YJ4eDWut0aOGa+Xq9XJ2dk7T9/r1a+r1fHcdP3ZUr772utq1fzRNHy8vb0lSQECgKleparOvcOHCqnF/Tf0WvlUnjh9XpcqVs+eiAAAAgHzOMAx1mP2rdv8VZdPetUFpjXukKgU/IKskJ0nhs6SanSXvQEtbuxmSs4fk7GZqNMBeUfhDvrJ7924tXLgw3V/eHBwcNGTIENWqVSvT92BaT/uz7jfLiLsmdSpIkmpWCpKTk6N+/iz9afZe7PigXuz4oH7cuFtPDf3oP53z/kpBKujtochf3kl3/6eTe+jTyT00bMpSzVq86T+dA0DW8vLyUvX779fG9et09swZlS1Xzmb/raLf4cOHNGr0a3ryqafTfZ8ywcGSJG8f73T3e3tb2hMTE7IwPfIzPrQCAACwlZJqqNyolWnaj77ZRs5OTJAGZJlTW6TlQ6XLh6XIfVLH+ZZ2Dz9zcwF2jsIf8pXAwEBt27ZNlSpVSnf/tm3bFBAQkMOpYLZiRX0lSTeTUyRJ6387rMvXY9P0CyziozaNq+nQiQiF7z6h3Yf++s/nXLx8m9zdXNK016xUUrUql9SmbYd18twV7T9+4T+fA0DWu3TxoiSpQAHbX6H+WfQbMWqMOj3zbIbvUaPG/XJzc9NfZ/9SYmJimodJjh8/LkkqXqJEFqcHAAAAEJeUrCqvrbZpe7tjDT1V5/ZreQO4Q7FXpLVjpF2LLNueRaWKrc3NBOQjFP6Qr7z88svq1auXduzYoYcfftha5IuMjNT69ev10Ucf6Z130h+BhbytUtlAnT5/RfEJN23a3d2c9db/HpckrdqyX5L0wdc/p/sejUMqqE3javrlz2Ma+OaX95Tnf28vTbf91d5tVatySc3/dquWrN5xT+cAcPdiY2/o0sWLadblk6Rl3y7Vvr17VKp0GZUqXdraHnX9unq90EOHDx/SKyNf1TPPPpfpOTw8PRXW/lF9s+QrfTT3fQ0YNMS678cfvtOJ48dUq3aIihb1z7oLQ77GgD8AAJDf9V/8p3acuqaI6LSzauwY3UKFvZjZCcgShiHt/NxS9Iu/ZmkL6SG1GCu5FzI3G5CPUPhDvtK/f38VKVJE06dP1/vvv6+UFMsILycnJ4WEhGjhwoV66qmnTE6J7PBEy9oa+Fwzbd11QqfPX1FMbIKKFy2oVo2qqEghL23585jeW7Txns4xachjKlzQU5JUrUJxSdLkoY/pRlyiJGnhsq3auuvEvV0IgP/k26VLtPNPSzH96NEjlrZvluiP7dskSbVqh+jxjk/q+vXr6tC+rapUrabgsmXl7x+g6Ogo7d+3TwcP7JeXl5femDjZ5r2HDn5Jhw8dVHDZsoqOitKc2e+lOf+zXbrJx8fHuj1w8BD9sf13ffThXO3c+aeqVK2mM6dPafOmjfLx8dWYseOz61sBAAAA5AvJKal6+sPf9Mfpaxn2OTU5LAcTAfnA7x9Iq4ZbXgdUk9pNl0rWNTcTkA9R+EO+06lTJ3Xq1Ek3b97U5cuXJUlFihSRs7OzycmQnX76ZZ+KFfVV/fuDVa9GsLzcXRV1I177jp7TktV/6pPvw5WSknpP53isRU2VLl74X21/rxn58x9HKfwBJtn55w798P0ym7ZdO//Urp1/Wrcf7/ikChXyU68+/fTH9m36betWXb9+Xc7OzipeooSe69pdXbv1UEBgoM37nD93TpJ08sQJzX1/Vrrnf6TDYzaFv4IFC+mzRV9p7pxZ2rBunXbt3ClfX1+FtX9Effu9pKCSTDOErMMafwAAID+Jir+pj7ec1Lvrj6bZ91Lz8gou4qkaQb4q75/+mtsA7kGtZ6Xt86TaXaX6fSUnPm8FzOBgGIZhdgjAXrjXGmB2BAA5KH7n30WehGQTgwDIcW556PG5CsNWZfs5jk5hvQ7kHtHR0fL19VVUVJTNQxcAAPu24/Q1PTFna7r7xrSromfrlZKbs1MOpwLs3NF10t4lUoc5kqOjpS0lWXLKQzdMQB5xN/c5/A0EAAAA7BgD/gAAgL2KTripNfsj9dHPJ3Q4MibN/tZVAzWrcy0VcHI0IR1gx6IvSKtGSAe+s2yXaybd/7TlNUU/wHT8LQQAAAAAAACQJ5y9Gqcfdp/XlNWH091ft4yfPu5eR95uTDEIZLnUFMtUnusnSEkxkoOTZUrPSu3MTgbgHyj8AQAAAHaMNf4AAIA92HL0sp77+PcM91ct7qNXWlfSQxWL5mAqIB85v1P6cbB0YZdlu0Qdqd10qVgNM1MBSAeFPwAAAAAAAAC50rxfTuiNFQfTtBf0cNZjtUro1baVmcoTyG6GIf04SLqwW3L1lVq8JoX0kBxZNxPIjSj8AQAAAHaMAX8AACAvupmSqqqvrVZSSqpNe4OyhTW/+wNyd6HgAGQrw5CMVEtxz8FBajtV2vaB1OpNyTvA7HQAMkHhDwAAAAAAAECuYBiGnl+4XRsPX7Jpf+uJ6nqqTkmmMQdywrVT0sphluk8mw63tJV8wPIFINej8AcAAADYMUdHPhwDAAC5282UVM1Yd0Q3EpL1SfjpNPt/GtRYlYv5mJAMyGeSk6TwWdLmt6XkeOnMb1L9PpKbr9nJANwFCn8AAAAAAAAAckxqqqF31hzW+5uOZ9ovfGRzFfN1z6FUQD53OlxaPkS69P9rapZpLIVNo+gH5EEU/gAAAAA7xmxYAAAgtxj7/b50R/T9U7saxVTKz0P/a3WfnJi5AMh+cVelta9JOz+zbHsUkULflGp04mYCyKMo/AEAAAAAAADINuHHr6jzvN9kGGn3dW9YRh1DglTe30tuzk45Hw7I7+KvSXu+tryu3U1q8brk4WdqJAD3hsIfAAAAYMcceEoXAACYJDXVUNlRK9O0v9S8vPo3K0+hDzDLjUuSV1HL68LlpLCpUpEKUqn65uYCkCUo/AEAAAAAAADIUgfOR6vtu7/YtLWo7K9xj1ZTiYKs2weY4ma89PM70tb3pG4/SqXqWdprdzE3F4AsReEPAAAAsGMM+AMAADklPilFfRft0KbDl9LsO/ZmGxVwcjQhFQBJ0rH10or/SddOWrYPfP934Q+AXaHwBwAAAAAAAOA/23joonos3J7uvtKFPbR5WLMcTgTAKiZCWjVS2v+tZdu7uNTmLalye3NzAcg2FP4AAAAAO8YafwAAIDtciknU7rPX1fPTP9Ld36V+aU3oUC2HUwGwsWux9NNwKTFacnCU6vWRmo2SXL3NTgYgG1H4AwAAAAAAAHBbUXE31X7WFp25Gpfufl93Zy1/6UGV9PPI4WQA0mUYlqJf8VpSuxlS8ZpmJwKQAyj8AQAAAHaMEX8AACArGIahJlM2Kir+Zpp9baoFanbn2nJ05PcOwFSJMdLVE1Kx+y3bNTtLLh5S5UckRydzswHIMRT+AAAAAAAAAGRowa8nNe7HAzZty196UNVK+JqUCIANw5AOLbdM62mkSv23SW4+koODVPUxs9MByGEU/gAAAAA7xoA/AADwX0XF3dT949ekaf95WDOVKsx0nkCucP2MtHKYdGSVZbtQGSnqL8mtiqmxAJiHwh8AAAAAAAAAq8TkFHWYvVUHL0TbtHeqU1JvdaxhUioANlJuSuGzpc1vSTfjJEdnqdEgqcnLkrO72ekAmIjCHwAAAGDHWOMPAADcqd1nr+vR2b+mu+/QhNZyc2aNMCBXSLwhfdxKurjfsl26kdRuulT0PnNzAcgVKPwBAAAAAAAA+dzsjcc0ZfXhNO2s5QfkQq5eUkAVKeaC1OoNqWZn5vgHYEXhDwAAALBj3P8DAIDMnLocq6bvbLJpa1iusOZ1qyMPFz46BHIFw5D2fC2VeVDyLWFpaz1ZkoPkWdjUaAByH/71BgAAAAAAAPKZX45eUpePt6Vp3/RyU5Up4mlCIgDpunxUWjFUOvmzVLm91OlzS7tnEXNzAci1HM0OAAAAACD7ODg4ZPvX3Zg0aZIeeOABeXt7y9/fXx06dNDhw39PK3bq1KkMz7NkyZJMr+vLL7+0OdemTZtUu3Ztubq6qnz58lq4cOE9fS8BALAXPT/5I03Rz8FB2jculKIfkFvcTJA2TpTmNLQU/Qq4ScVrSampZicDkMsx4g8AAABAjtm8ebP69++vBx54QMnJyRo1apRatWqlAwcOyNPTUyVLltSFCxdsjvnwww81ZcoUtWnTxqZ9wYIFat26tXW7YMGC1tcnT55UWFiY+vTpo0WLFmn9+vXq2bOnihUrptDQ0Gy9RgAAciPDMLTp8CX1WLjdpr16CV9907ehXAowPgDINY5vlFb8T7p63LJdvqXUdorkF2xuLgB5AoU/AAAAwI7lxBp/iYmJSkxMtGlzdXWVq6trmr6rVq2y2V64cKH8/f21Y8cONWnSRE5OTgoMDLTps2zZMj311FPy8vKyaS9YsGCavrfMnTtXwcHBmjp1qiSpcuXK2rJli6ZPn07hDwCQ78QmJqvq2NVp2j97oa4aVyhqQiIAGdq7VPrmBctrr0CpzWSpSgcW7wZwx3iUBwAAAMA9mTRpknx9fW2+Jk2adEfHRkVFSZL8/PzS3b9jxw7t2rVLL7zwQpp9/fv3V5EiRVS3bl3Nnz9fhmFY94WHh6tFixY2/UNDQxUeHn6nlwUAgF34evvZNEU/BwfpxMS2FP2A3Oi+NlKhMlLd3tKA7VLVxyj6AbgrjPgDAAAA7NjdrsH3X4wcOVJDhw61aUtvtN+/paamavDgwWrUqJGqVauWbp+PP/5YlStXVsOGDW3ax48fr+bNm8vDw0Nr1qxRv379dOPGDQ0cOFCSFBERoYCAAJtjAgICFB0drfj4eLm7u9/NJQIAkOes3h+h3p/tSNN+anKYCWkAZChir/THAqntO5Kjo+TiKfUNl1w8zE4GII+i8AcAAADgnmQ0reft9O/fX/v27dOWLVvS3R8fH6/FixdrzJgxafb9s61WrVqKjY3VlClTrIU/AADyq2uxSXpk9hadvRpv0/7Cg8Ea066KSakApJF4Q9o0SfptjmSkSIHVpTo9LPso+gG4BxT+AAAAADuWW2cFGjBggJYvX66ff/5ZQUFB6fZZunSp4uLi1LVr19u+X7169TRhwgQlJibK1dVVgYGBioyMtOkTGRkpHx8fRvsBAOzStDWH9e6GY2nam1fy1/vP1pabs5MJqQCk69AKaeUrUvRflu0qj0oVWYcaQNag8AcAAAAgxxiGoZdeeknLli3Tpk2bFBwcnGHfjz/+WI888oiKFr39+kO7du1SoUKFrCMPGzRooJUrV9r0Wbt2rRo0aHBvFwAAQC5y+Uaith6/ooFf7Eyzz8XJURtefkhBhRg5BOQaUX9ZCn6HV1i2C5aS2k6VKrYyNxcAu0LhDwAAALBjObHG393o37+/Fi9erO+//17e3t6KiIiQJPn6+tqMxDt27Jh+/vnnNMU7Sfrxxx8VGRmp+vXry83NTWvXrtXEiRP18ssvW/v06dNHs2bN0iuvvKLnn39eGzZs0Ndff60VK1Zk/0UCAJADRn67R19sO5umfXRYZXVpUFquBRjhB+Q63/aWTm+RHAtIDV+SmrzCtJ4AshyFPwAAAAA5Zs6cOZKkpk2b2rQvWLBA3bt3t27Pnz9fQUFBatUq7dPPzs7Omj17toYMGSLDMFS+fHlNmzZNL774orVPcHCwVqxYoSFDhmjmzJkKCgrSvHnzFBrKFEoAgLzLMAyN/WG/Pg0/nWbfU3WC9HbH+01IBSBThvH3/Puhb0irR0ttp0gBrLkJIHs4GIZhmB0CsBfutQaYHQFADorfOcv6OiHZxCAAcpxbHnp8rv7kzdl+jt9GPJTt5wDuVHR0tHx9fRUVFSUfHx+z4wBAlpm57qimrzuSpn3V4MaqFMh/74BcJ/6atH685OkvNRtpdhoAedzd3OfkoY8sAAAAAAAAgPzlyo1EhbyxLk17v6blNCz0vlw3rTeQ7xmGtHeptHqkFHtJcnKR6jwveQeYnQxAPkHhDwAAALBjfBgIAEDe9PGWk5qw/ECa9g+6hCi0aqAJiQDc1pXj0oqh0olNlu0iFaWwaRT9AOQoCn8AAAAAAABALvH7iSt6dt7vSk5NuzrP/nGh8nTl4zwg10lOlLZMl36ZJqUkSk6uUpNhUqOBUgFXs9MByGf4TQEAAACwYwz4AwAg7/g0/JRe+36/TdvEx6qrc71SJiUCcEduREq/zrQU/co1l9q+IxUuZ3YqAPkUhT8AAAAAAADAZEv+OGtT9Cvi5aJPn6+nKsV9TEwFIEOJNyRXL8vrgqWk0DclVx+p2hM8fQfAVBT+AAAAADvGGn8AAORuZ67EadSyvdpy7LK1bXbn2gqrUczEVAAylJoq7fxUWve61OlzqcyDlvY6z5saCwBuofAHAAAAAAAAmODBtzbor2vxNm2TH69O0Q/IrSL3S8uHSGd/t2z/Mf/vwh8A5BIU/gAAAAA7xoA/AAByn+SUVJV/9SebNk8XJy16sb5qlixoTigAGUuKlTa/JYXPllKTJRcvqdmrUt1eZicDgDQo/AEAAAAAAADZLCXV0Oe/ndZvJ67op30RNvt2jmmpQp4uJiUDkKlj66UfB0tRZyzbldpJbd6WfEuYGgsAMkLhDwAAALBjrPEHAID5jkTGqNX0n9Pdd2JiWzk68u81kGvFXbUU/XxLSm2nSPe1MTsRAGSKwh8AAAAAAACQTRb8elLjfjxg01Yv2E8tqwTohQeDeUgHyG1SkqVrJ6UiFSzb1TtKSTFSjU6Si6e52QDgDlD4AwAAAOwYHyYCAGCeplM26tSVOOt24wpF9NkL9UxMBCBT53ZYpvWMiZAGbJfcC1oWza7zvNnJAOCOUfgDAAAAAAAAslBKqqFyo1batP2vZUW99HAFkxIByFRClLR+grR9niRDcvOVLh6QSjc0OxkA3DUKfwAAAIAdY8AfAAA5yzDSFv22DG+moEIeJiUCkCHDkPZ/K60aKd2ItLTVeFpq9YbkVdTcbADwH1H4AwAAAAAAAO5Rws0UfbD5hKavO2LTfmpymEmJAGQqOUn68hnp2DrLduHyUtg0qexD5uYCgHtE4Q8AAACwY6zxBwBA9klKTtULn2zXL0cvp7ufoh+QixVwkTz9JSdXqfH/pAcHSwVczU4FAPeMwh8AAAAAAABwh85dj9cXv5/RX9fi9N2u8+n2qVvGT1/2qp/DyQDc1qktUsFSli/JMqVnk5elwuXMzQUAWYjCHwAAAGDHGPAHAMC9W7bzLw35anemfbrUL61XwyrLzdkph1IBuGOxV6Q1o6Xdi6WKraVnvrT8ouxZ2PIFAHaEwh8AAAAAAADwDymphn4+ckmS1GPh9nT7FPN1U1FvVz1as4ReeDA4J+MBuFOpqdKuRdLaMVL8NUubdzEpNVlycjY3GwBkEwp/AAAAgB1jjT8AAO5OaqqhcqNWpruvZsmCev7BYLWpFihnJ8ccTgbgrlw8KC0fKp3ZatkOqCa1my6VrGtuLgDIZhT+AAAAAAAAAEk7Tl/VE3PCbdpqBPlqz19R2jcuVF6ufJQG5AnHN0iLnrSM7HP2kJqNkur1YZQfgHyB31YAAAAAO8aAPwAAMheXlKwzV+PUesYvafadmhxmQiIA96xUA8k3SPKvIrV5WypY0uxEAJBjKPwBAAAAAAAg3zh3PV5fbT+rv67F6ds/z6Xbp2xRT/00qHEOJwPwn0VfkLZ9IDUfIzk6Sc7uUs8Nkmdhs5MBQI6j8AcAAADYMUeG/AEAIEk6FBGd7qi+fzs+sa2cHPn3E8gTUlOk7fOk9ROkpBjJu5hUr7dlH0U/APkUhT8AAAAAAADYtbPpTOXp6eKkmqUKqlWVQD1br5QKODmalA7Af3LuT2n5EOnCLst2iTpS6YamRgKA3IDCHwAAAGDHGPAHAMjPLkYnqO7E9TZtPR8M1qthleXAP5JA3pQQJW14U9r+kWSkSq6+UouxUkgPyZECPgBQ+AMAAAAAAIDdeWLOVu04fc2mrXGFIhrdropJiQBkie/6SYeWW15Xf1Jq9abkHWBuJgDIRSj8AQAAAHaM0QwAgPxm99nrenzOVqWkGjbt+8aFysuVj8KAPK/pCOnyEanNW1K55manAYBch992AAAAAAAAkOe9u/6opq09kqZ926iH5e/jZkIiAPcsOUkKnyWlJFkKfpIUWF3q9zvTegJABij8AQAAAHbMkQF/AIB8YNyP+7Xg11M2bWWLeOrLXvUp+gF51elwafkQ6dJBybGAZVrPwuUs+yj6AUCGKPwBAAAAAAAgT4qKu6n7x6+xaRvcooIGt6hoUiIA9yzuqrT2NWnnZ5ZtjyJS6JuSX1lzcwFAHkHhDwAAALBjrPEHALBXhmGkKfot6PGAmt3nb1IiAPfEMKTdX0hrRktxVyxttbtJLV6XPPxMjQYAeQmFPwAAAAAAAOQpJy7dUPOpm63bPm4FtHtsKx54AfKyGxellcOkpBuSfxWp3XSpVH2zUwFAnkPhDwAAALBjfP4JALAnCTdTNPybPfp+13mb9j2vh5qUCMA9SbkpOTlbXnsHSC3HS4kxUoP+f7cDAO4KhT8AAAAAAADkej/tvaC+i/60aRsWep/6NytvUiIA9+TYOmnFy5aRfeWaWdoeeMHcTABgBxzNDgAAAAAg+zjkwP+AzMyePVtlypSRm5ub6tWrp23btmXa//r16+rfv7+KFSsmV1dXVaxYUStXrsyhtAByo9RUQ2VGrEhT9BsdVpmiH5AXxURIS3pInz8hXTsp/TLV7EQAYFcY8QcAAAAAyBZfffWVhg4dqrlz56pevXqaMWOGQkNDdfjwYfn7+6fpn5SUpJYtW8rf319Lly5ViRIldPr0aRUsWDDnwwPIFaITbqrG62ts2oa2rKiBD1cwKRGA/yw1RfpjvrR+vJQYLTk4SvX6SM1GmZ0MAOwKhT8AAADAjjkyIA8mmjZtml588UX16NFDkjR37lytWLFC8+fP14gRI9L0nz9/vq5evaqtW7fK2dmyrk+ZMmVyMjKAXGTu5uOa/NMhm7bjE9vKiX/cgLznwh5p+WDp3A7LdvFaUrsZUvGaJoYCAPvEVJ8AAAAAgCyXlJSkHTt2qEWLFtY2R0dHtWjRQuHh4eke88MPP6hBgwbq37+/AgICVK1aNU2cOFEpKSkZnicxMVHR0dE2XwDyrpRUQ28sP6AyI1bYFP28XQvo1OQwin5AXnX1uKXo5+ojtX1H6rmeoh8AZBNG/AEAAAB2zMGBD0hhjsuXLyslJUUBAQE27QEBATp06FC6x5w4cUIbNmzQs88+q5UrV+rYsWPq16+fbt68qbFjx6Z7zKRJkzRu3Lgszw8gZ0XF39Sry/Zq+Z4Lafb1a1pOr7SuZEIqAP+ZYUjR5yXfEpbtKh2kFuOkGp0kn2KmRgMAe0fhDwAAAACQK6Smpsrf318ffvihnJycFBISonPnzmnKlCkZFv5GjhypoUOHWrejo6NVsmTJnIoM4B7tOH1VT8xJfxTwGx2q6bn6pXM4EYB7du209NMr0l/bpQF/SB5+koOD9OBgs5MBQL5A4Q8AAACwYwz4g1mKFCkiJycnRUZG2rRHRkYqMDAw3WOKFSsmZ2dnOTk5WdsqV66siIgIJSUlycXFJc0xrq6ucnV1zdrwALJdXFKy6ryxTnFJaafyndGppjrUKmFCKgD3JOWmFD5b2vyWdDNOcnSWTm+VKrczOxkA5Cus8QcAAAAAyHIuLi4KCQnR+vXrrW2pqalav369GjRokO4xjRo10rFjx5SammptO3LkiIoVK5Zu0Q9A3vT6D/tV5bXVaYp+W0c016nJYRT9gLzozG/SB02kdWMtRb/SD0p9f6XoBwAmYMQfAAAAYMccGfIHEw0dOlTdunVTnTp1VLduXc2YMUOxsbHq0aOHJKlr164qUaKEJk2aJEnq27evZs2apUGDBumll17S0aNHNXHiRA0cONDMywCQRVJTDZUdtTJN+y+vNFNJPw8TEgG4Z6mp0ooh0o6Flm13Pyn0Ten+Z5h6AgBMQuEPAAAAAJAtOnXqpEuXLum1115TRESEatasqVWrVikgIECSdObMGTk6/j0RTcmSJbV69WoNGTJENWrUUIkSJTRo0CANHz7crEsAkEV+3H1eL32x06bt42519HDlAJMSAcgSjo6SYVhe13pOajnBsqYfAMA0DoZx67/MAO6Ve60BZkcAkIPid86yvk5INjEIgBznlocen3ti/o5sP8c3z4dk+zmAOxUdHS1fX19FRUXJx8fH7DhAvhebmKyqY1enaT85qa0cGA0E5E2Xj0pOLlKh0pbtuKvSpUNS6Ybm5gIAO3Y39zl56CMLAAAAAAAA5AWxiclqMW2zLkQl2LSXKOiutUObUPQD8qKbCdKWadKW6VJwE+nZpZbpPD38KPoBQC5C4Q8AAACwY3ywCgDIab+fuKJOH/6Wpv34xLZycuTfJSBPOr5RWjFUunri/xscpJtxkounqbEAAGlR+AMAAAAAAECWuBiTkKbo9+Zj1fRsvdImJQJwT25clFaPkvYusWx7F5NaT5aqPGoZ7QcAyHUo/AEAAAB2jM9jAAA5ZeeZa3rs/a3W7c71SmniY9VNTATgnpz7U/q0g5QYJTk4Sg+8KDUfLbmxhi4A5GaOZgcAAAAAkH9MmjRJDzzwgLy9veXv768OHTro8OHDNn2aNm0qBwcHm68+ffrY9Dlz5ozCwsLk4eEhf39/DRs2TMnJyTZ9Nm3apNq1a8vV1VXly5fXwoULs/vyACDfem/9UZuiX3l/L4p+QF4XUFXyKioVqyn1XC+1fZuiHwDkAYz4AwAAAOyYYy4b8rd582b1799fDzzwgJKTkzVq1Ci1atVKBw4ckKfn32vEvPjiixo/frx128PDw/o6JSVFYWFhCgwM1NatW3XhwgV17dpVzs7OmjhxoiTp5MmTCgsLU58+fbRo0SKtX79ePXv2VLFixRQaGppzFwwA+UBySqqmrj1i3e79UFmNbFPZxEQA/pPEG9If86X6/SSnAlIBV6nLd5JPccnRyex0AIA7ROEPAAAAwD1JTExUYmKiTZurq6tcXV3T9F21apXN9sKFC+Xv768dO3aoSZMm1nYPDw8FBgame741a9bowIEDWrdunQICAlSzZk1NmDBBw4cP1+uvvy4XFxfNnTtXwcHBmjp1qiSpcuXK2rJli6ZPn07hDwCyyNmrcWr6zialpBrWtmlP3a/HaweZmArAf3JopbRymBT9l2Vaz4YDLO0FS5qbCwBw15jqEwAAALBjDjnwNWnSJPn6+tp8TZo06Y7yRUVFSZL8/Pxs2hctWqQiRYqoWrVqGjlypOLi4qz7wsPDVb16dQUEBFjbQkNDFR0drf3791v7tGjRwuY9Q0NDFR4efke5AACZe2vVITV+e6NN0U8SRT8gr7l+Vvqis/TlM5aiX8FSkn8ls1MBAO4BI/4AAAAA3JORI0dq6NChNm3pjfb7t9TUVA0ePFiNGjVStWrVrO2dO3dW6dKlVbx4ce3Zs0fDhw/X4cOH9e2330qSIiIibIp+kqzbERERmfaJjo5WfHy83N3d7/5CAQAyDEPBI1emaf+mbwOFlPZL5wgAuVJKsvT7HGnjJOlmrORYQGo4UGoyTHLxuP3xAIBci8IfAAAAYMcccmCNv4ym9byd/v37a9++fdqyZYtNe69evayvq1evrmLFiunhhx/W8ePHVa5cuXvOCwD47/5d9JvzbG21qV7MpDQA/rMVQ6U/P7G8LtVAajdd8mdtTgCwB0z1CQAAACDHDRgwQMuXL9fGjRsVFJT5tHD16tWTJB07dkySFBgYqMjISJs+t7ZvrQuYUR8fHx9G+wHAf2AYhlpO22zTtntsK4p+QF5Vv6/kFSA9MkvqvpKiHwDYEQp/AAAAgB1zdMj+r7thGIYGDBigZcuWacOGDQoODr7tMbt27ZIkFStm+XC5QYMG2rt3ry5evGjts3btWvn4+KhKlSrWPuvXr7d5n7Vr16pBgwZ3FxgAIMky0u/oxRvW7ZOT2srX3dnERADumGFIe5ZIm6f83eZfWRq8V6rdRXLkI2IAsCdM9QkAAAAgx/Tv31+LFy/W999/L29vb+uafL6+vnJ3d9fx48e1ePFitW3bVoULF9aePXs0ZMgQNWnSRDVq1JAktWrVSlWqVFGXLl309ttvKyIiQqNHj1b//v2tU4726dNHs2bN0iuvvKLnn39eGzZs0Ndff60VK1aYdu0AkBeduhyrpu9ssmlbM6RJjkwlDSALXDlumdbzxCbJwVG6r7UUWN2yr8DdT9UOAMj9KPwBAAAAdiy3fTA7Z84cSVLTpk1t2hcsWKDu3bvLxcVF69at04wZMxQbG6uSJUvqiSee0OjRo619nZyctHz5cvXt21cNGjSQp6enunXrpvHjx1v7BAcHa8WKFRoyZIhmzpypoKAgzZs3T6GhoTlynQBgD67cSExT9Ptt5MMK9HUzJxCAO5ecKG2ZIf0yVUpJlJxcpSbDpCIVzU4GAMhmFP4AAAAA5BjDMDLdX7JkSW3evDnTPpJUunRprVy5MtM+TZs21c6dO+8qHwDAYuvxy+r80e82bccntpXT3c7xDCDnnfxZWj5EumJZH1nlmktt35EKlzM3FwAgR1D4AwAAAOxYLhvwBwDI5Y5dvKEW09I+gHFqcpgJaQDctYQo6cvnpMQoyStAaj1Jqvo4vxQCQD5C4Q8AAAAAAAA6eCFabWb+YtNWL9hPn/esZ1IiAHfEMP4u7Ln5Si1eky4elJqPkdwLmhoNAJDzKPwBAAAAdiy3rfEHAMid5mw6rrdWHbJuB/q4aeuI5nJkak8gd4vcb5nWs8kwqUJLS9sDPc3NBAAwlaPZAQAAAAAAAGCeP89csyn6FfFyVfhIin5ArpYUK619TfqgiXT2d2nd65aRfwCAfI8RfwAAAIAd4zNbAEBmkpJT9fj7W63bYTWKaXbn2iYmAnBbh1dJK4dJUWcs25XbS63fYh0/AIAkCn8AAAAAAAD50vFLN/Tw1M02bRT9gFws6pz00yvSoeWWbd+SUtt3pPtam5sLAJCrUPhDrvTDDz/ccd9HHnkkG5MAAADkbazxBwD4t4vRCWr77i+6fCPJpn3Xay1NSgTgjlzYZSn6OThJDQdIDw2XXDzNTgUAyGUo/CFX6tChwx31c3BwUEpKSvaGAQAAAADADoQfv6JZG4/q12NXbNpbVPbXvG4PmJQKQKbir0vuBS2vK4VJTYZJVR+TAqqamQoAkItR+EOulJqaanYEAAAAu8B4PwCAYRh68dMdWncw0qa9XrCfPugSooIeLiYlA5ChhChp/QRp/7dSv98lr6KW9uajzc0FAMj1KPwBAAAAAADYqaFf79K3f56zaStbxFMDH66gDrVKmJQKQIYMw1LsWzVSuvH/xfpDy6U6PczNBQDIMyj8IU+IjY3V5s2bdebMGSUl2a5BMHDgQJNSAQAA5H6OrPEHAPlWmREr0rR93buB6gb7mZAGwG1dPSGteFk6vt6yXbi8FDZNKvuQubkAAHkKhT/kejt37lTbtm0VFxen2NhY+fn56fLly/Lw8JC/vz+FPwAAAAAA/uXfRb8x7aqoe8MycnLkgRAgV/plmrT5LSk5QXJylRr/T3pwsFTA1exkAIA8hsIfcr0hQ4aoffv2mjt3rnx9ffXbb7/J2dlZzz33nAYNGmR2PAAAgFyNAX8AkP/8u+h3fGJbCn5Abhd93lL0K9vUMsqvcDmzEwEA8igKf8j1du3apQ8++ECOjo5ycnJSYmKiypYtq7ffflvdunXT448/bnZEAAAAAAByhVX7LthsH36jNUU/IDeKvSzdjJcKlrRsPzxGKt1Aqvo4T24BAO6Jo9kBgNtxdnaWo6PlR9Xf319nzpyRJPn6+urs2bNmRgMAAMj1HBwcsv0L+cO3336rGjVqmB0DQCbCj19Rn8//tG7vGxcq1wJOJiYCkEZqqvTnp9KsOtL3/STDsLS7+UrVnqDoBwC4Z4z4Q65Xq1Ytbd++XRUqVNBDDz2k1157TZcvX9Znn32matWqmR0PAAAAsBsffPCB1q5dKxcXFw0aNEj16tXThg0b9L///U9HjhxR165dzY4IIB2xicl66oNw7T8fbW3r/VBZebnysQ+Qq1w8KC0fIp0Jt2zHXZXirkieRczNBQCwK/wGiFxv4sSJiomJkSS9+eab6tq1q/r27asKFSpo/vz5JqcDAADI3XhoHHdq8uTJeu2111SjRg0dOnRI33//vV599VW99957GjRokHr37q1ChQqZHRPAv4z/8YDm/3rSpm10WGX1bFzWpEQA0kiKk35+W9r6npSaLDl7SM1GSfX6Sk58PAsAyFr8y4Jcr06dOtbX/v7+WrVqlYlpAAAAAPu0YMECffTRR+rWrZt++eUXPfTQQ9q6dauOHTsmT09Ps+MB+Jf5W05q/PIDadq/799I95csmPOBAKTvynHps8ek66ct2/e1ldq8/ffafgAAZDEKfwAAAIAdc2TIH+7QmTNn1Lx5c0lS48aN5ezsrHHjxlH0A3IZwzAUPHJlmvbJj1fX03VLmZAIQKZ8S0rO7pJPkNT2balSmNmJAAB2jsIfcr3g4GA5ZPKB1YkTJ3IwDQAAAGCfEhMT5ebmZt12cXGRn5+fiYkApOffRb/Ha5fQOx3vl6MjD3oAuUJqirT7S6n6k1IBF8tXp0WSd6Dk6mV2OgBAPkDhD7ne4MGDbbZv3rypnTt3atWqVRo2bJg5oQAAAPIIBvzhbowZM0YeHh6SpKSkJL3xxhvy9fW16TNt2jQzogGQtO5ApM32n2Nays/TxaQ0ANI496e0fIh0YZd0I1JqPNTSXqS8qbEAAPkLhT/keoMGDUq3ffbs2frjjz9yOA0AAABgn5o0aaLDhw9btxs2bJhmdo3MZuIAkL3KjFhhs31iYltG+QG5RUK0tOENaftHkpEquflKnkXNTgUAyKco/CHPatOmjUaOHKkFCxaYHQUAACDXolCDO7Vp0yazIwBIx9HIGLWc/rNNW68mZSn6AbmBYUgHvpN+GiHdiLC0VX9SCp0oefmbGg0AkH9R+EOetXTp0ly35kj8zllmRwBgEjf+RQUA2IHo6Gj9/vvvSkpKUt26dVW0KKMVADNdiIpPU/Q7/EZruRZwMikRABsbJ0o/v2157VdWCpsmlWtmbiYAQL7Hx5TI9WrVqmXzpLphGIqIiNClS5f0/vvvm5gMAAAg93M0OwDyjF27dqlt27aKiLCMWPD29tbXX3+t0NBQk5MB+dOus9fVYfav1u0Cjg46NrGtiYkApFHjKem3OVKDftKDQyVnN7MTAQBA4Q+536OPPmpT+HN0dFTRokXVtGlTVapUycRkAAAAgP0YPny4goOD9c0338jNzU0TJkzQgAEDdPToUbOjAfnOY+//qp1nrlu3vd0KaPurLcwLBMDi9Fbpr+1So0GW7SIVpCH7JPeCpsYCAOCfKPwh13v99dfNjnDHjl2MNzsCgBxU3t/d+vqZT3eZFwRAjvuia02zI9wx1vjDndqxY4fWrFmj2rVrS5Lmz58vPz8/RUdHy8fHx+R0QP7R85PtNkW/djWKaVbn2uYFAiDFXZXWjpF2fi7JQSrzoFQixLKPoh8AIJeh8Idcz8nJSRcuXJC/v+2iyFeuXJG/v79SUlJMSgYAAADYj6tXryooKMi6XbBgQXl6eurKlSsU/oAcEhGVoHUHL1q3d7/WSr4eziYmAvI5w5B2LZbWjJbir1raaneVCgWbmwsAgExQ+EOuZxhGuu2JiYlycXHJ4TQAAAB5iyMD/nAXDhw4YF3jT7L8Ln7w4EHFxMRY22rUqGFGNCBfqD9pvfX10j4NKPoBZrp0WFo+VDq9xbLtX0VqN0MqVc/UWADwf+zdeZxN9R/H8fed7c6MWRkzYxi77OvIkoQaxpISlbQRKUXFpCSyJEaJKKJC2kQUyZp9i4RGSJOdYgYxK2a9vz/uz9VtbMPMnJk7r2eP++h8v+d7z33fOxdz7ud+zxe4Hgp/KLDef/99SdbLU02fPl1eXl62fZmZmdqwYQNr/AEAAAC56J577sn2xbt7771XJpNJFotFJpOJK24AeeTvePulIxqWL25QEgDKSJVm3SulnJJcPaWWr0lNnpecKcYDAAo+Cn8osN577z1J1m8ZT5s2Tc7OzrZ9bm5uKl++vKZNm2ZUPAAAgEKBGX+4UYcPHzY6AlBkWSwWNRu7xtY+NKa9gWkAyMUs3T1EilkmtR8n+ZU1OhEAADeMwh8KrEsfPLRq1Urfffed/P39DU4EAAAAOK7PPvtMAwcOlKenp9FRgCJl66F/9MjHW23t4sXc5MS3NoD8lRQrLX9Nqv2wVO3/hfcG3a03E38eAQCFC4U/FHhr1641OgIAAEChZeLDKtygkSNHqk+fPhT+gHxisVh09/j1Onwmxa5/x9BwgxIBRVBWprR9prT6TSk1Ufp7p1SljeTsQsEPAFBoORkdALieLl266O23387W/8477+ihhx4yIBEAAADgeP67th+AvDVx1X67ot8Ld1fWkbEd+MIGkF9OREvTw6WlA61Fv5AGUtcvrEU/AAAKMf4lQ4G3YcMGjRgxIlt/u3btNH78+PwPBAAAUIhwtTjkBAUHIH+sizmlSav329o7hoarhJfZwERAEZKaJK0dI/08TbJkSWYf6Z5hUsOekpOz0ekAALhlFP5Q4CUnJ8vNzS1bv6urqxITEw1IBAAAADim22677brFv7Nnz+ZTGsAx1Ri2XOfTMm3tOc80oegH5KfjP0tbP7Ru1+wstY2SvIONzQQAQC6i8IcCr3bt2po7d66GDRtm1z9nzhzVqFHDoFQAAACFAxO4kBMjR46Ur6+v0TEAh7Xj6Dm7ot/ANrepScUSBiYCioiMVMnl/wX2yuFS035SpVbWbQAAHAyFPxR4b7zxhjp37qyDBw/q7rvvliStXr1as2fP1vz58w1OBwAAADiORx55RIGBgUbHABzO8bPnNWButLYfPWfrOzC6nVycnQxMBRQBmenSlinS1qnSs+svz+yLGG1sLgAA8hCFPxR4HTt21MKFCzVmzBjNnz9fHh4eqlu3rtasWaPixYsbHQ8AAKBAc2LKH24Q6/sBeWPa+oMau+wPu74uDcpQ9APy2rGt0uIB0qnfre0dn0ktBxmbCQCAfEDhD4VChw4d1KFDB0lSYmKivv76aw0cOFA7duxQZmbmde4NAAAA4HosFovREQCH8+YPv2vm5sO2tr+nqyY/2kDNKgcYmApwcOfPSquGSzs/t7Y9iktt3pLqPWpsLgAA8gmFPxQaGzZs0IwZM/Ttt98qJCREnTt31pQpU4yOBQAAUKAxnwQ3Kisry+gIgEPZdvisXdFv1lO3q2VVLqUL5KnfvpGWD5bOn7G26z8utR4leXLFKABA0UHhDwVabGysZs2apRkzZigxMVEPP/ywUlNTtXDhQtWoUcPoeAAAAAAAZBObcFEPf7TF1l7Yt5nqhfoZFwgoKk78ai36lawm3fueVO4OoxMBAJDv+AIwCqyOHTuqatWq+u233zRx4kSdOHFCH3zwgdGxAAAAChWTKe9vAAB7TaJW27afbFqOoh+QV9IvSoknL7dbvS5FjJGe3UjRDwBQZDHjDwXWsmXL9OKLL+q5555TlSpVjI4DAAAAAMB1nU5KtWu/eX8tg5IADu7gWmlJpOQVLPVYIjk5SWZvqWlfo5MBAGAoZvyhwNq0aZOSkpIUFhamxo0ba/LkyTpz5ozRsQAAAAoVJ5Mpz28AgMtuH73Ktr19aLiBSQAHlRQnffu09EUn6ewh6dxhKeG40akAACgwKPyhwGrSpIk++eQTnTx5Us8++6zmzJmjkJAQZWVlaeXKlUpKSjI6IgAAAAAAVxXgZTY6AuA4srKkX2ZIk2+Xds+TTE5So2elvtsk/3JGpwMAoMCg8IcCr1ixYurZs6c2bdqk3bt36+WXX9bYsWMVGBio++67z+h4AAAABRpr/AFA/th+5KzKv7bE1p7zTBMD0wAOJilWmtHaemnP1ASpVD3p6dVS+3ckdx+j0wEAUKBQ+EOhUrVqVb3zzjv666+/9PXXXxsdBwAAAAAAvbsiRg9O22LX16h8cYPSAA7Is4SUcVFy85bavi31XiOVbmB0KgAACiQXowMAN8PZ2VmdOnVSp06djI4CAABQoDkxIw8A8tToJb/rk42Hbe3nW1bSq22rGZgIcBD7V0kVmksuZsnZVeoyXXL3lXxCjE4GAECBRuEPAAAAAAAgh7YdPquHP7Kf5fd+t/q6ry5FCeCWxB+Xlg2SYpZIrYZILV619gdWNzYXAACFBJf6BAAAAByYk8mU57eciIqK0u233y5vb28FBgaqU6dOiomJse0/e/asXnjhBVWtWlUeHh4qW7asXnzxRSUkJNgdx2QyZbvNmTPHbsy6devUoEEDmc1mVa5cWbNmzbrp1xEA/m3zgTPZin7jH6pL0Q+4FZnp0k8fSFMaW4t+Ti6SJcvoVAAAFDrM+AMAAACQb9avX6++ffvq9ttvV0ZGhl5//XW1adNGv//+u4oVK6YTJ07oxIkTevfdd1WjRg0dPXpUffr00YkTJzR//ny7Y3366adq27atre3n52fbPnz4sDp06KA+ffroq6++0urVq/X000+rVKlSioiIyK+nC8ABWSwWPTb9Z1u7c4PSGnFfTfm4uxqYCijkjv8iLe4vxe2xtss2le59j1l+AADcBAp/AAAAgAPL4YS8PLd8+XK79qxZsxQYGKgdO3borrvuUq1atfTtt9/a9leqVEmjR4/W448/royMDLm4XD6F8fPzU3Bw8BUfZ9q0aapQoYLGjx8vSapevbo2bdqk9957j8IfgFtSYfBS2/bDDcvonQfrGpgGcADbPpGWviLJInn4S61HSfUek5y4UBkAADeDf0EBAAAA3JLU1FQlJiba3VJTU2/ovpcu4Vm8ePFrjvHx8bEr+klS3759FRAQoEaNGmnmzJmyWCy2fVu2bFF4eLjd+IiICG3ZYn9pPgDIiapDl9m13+5Sx6AkgAOpdLfkYrYW+/rtkBo8QdEPAIBbwL+iAAAAgANzMuX9LSoqSr6+vna3qKio62bLyspS//791axZM9WqVeuKY86cOaNRo0bpmWeeset/88039c0332jlypXq0qWLnn/+eX3wwQe2/bGxsQoKCrK7T1BQkBITE3XhwoWbeCUBFHUX0zOVmnF5vbGDY9rLVNCmVQOFwT8HpZ8/vtwuUUl68Vep04dSsRLG5QIAwEFwqU8AAAAAt2Tw4MGKjIy06zObzde9X9++fbVnzx5t2rTpivsTExPVoUMH1ahRQyNGjLDb98Ybb9i269evr5SUFI0bN04vvvhizp8AANyAr7cds23vGRkhZyeKfkCOZKRKm96TNk6QMlOlUnWlso2t+3xCjM0GAIADofAHAAAAODCT8v6DabPZfEOFvn/r16+fFi9erA0bNqhMmTLZ9iclJalt27by9vbWggUL5Orqes3jNW7cWKNGjVJqaqrMZrOCg4MVFxdnNyYuLk4+Pj7y8PDIUVYA2PN3gkb+8Lut7WXm4xQgRw6tl5ZESv8csLYr3S15BRqbCQAAB8VvqgAAAADyjcVi0QsvvKAFCxZo3bp1qlChQrYxiYmJioiIkNls1qJFi+Tu7n7d40ZHR8vf399WgGzatKmWLl1qN2blypVq2rRp7jwRAEXGgVNJuveDyzOTe9xR3rgwQGGTfFr6cYj021xr2ytIahsl1ewscalcAADyBIU/AAAAwIEVtCvR9e3bV7Nnz9b3338vb29vxcbGSpJ8fX3l4eGhxMREtWnTRufPn9eXX36pxMREJSYmSpJKliwpZ2dn/fDDD4qLi1OTJk3k7u6ulStXasyYMRo4cKDtcfr06aPJkyfr1VdfVc+ePbVmzRp98803WrJkiSHPG0DhlHAhXeETNtjaDcr6acR9NQ1MBBQiWVnSp23/P8vPJN3+tHTPG5K7r9HJAABwaBT+AAAAAOSbqVOnSpJatmxp1//pp5+qR48e2rlzp37++WdJUuXKle3GHD58WOXLl5erq6umTJmiAQMGyGKxqHLlypowYYJ69+5tG1uhQgUtWbJEAwYM0KRJk1SmTBlNnz5dERERefsEATiUuiN/tG2X9vPQd883MzANUMg4OUl3Rko/T5XunSSVCTM6EQAARQKFPwAAAMCBFbQZfxaL5Zr7W7Zsed0xbdu2Vdu2ba/7WC1bttSvv/6ao3wAcMmUtQfs2ptfu9ugJEAhkZYirRsrlbldqnGfta/eo1KdrpIzH0ECAJBf+FcXAAAAAADgP8atiLFt/zHq+l82AIq0mOXS0lekhGOSdympcrjk5mldx4+iHwAA+Yp/eQEAAAAHZjIVsCl/AFAIrIs5Zdse3rGG3F2dDUwDFGAJf0vLXpX+WGxt+5aV2o+zFv0AAIAhKPwBAAAAAAD8n8ViUY9Pf7G1H21c1sA0QAGVmSFt+0haO0ZKS5acXKSmfaUWgyS3YkanAwCgSKPwBwAAADiwgrbGHwAUZJsPnNFj03+2td/pUkdmF2b7Adn89Yu04nXrdplGUseJUlBNQyMBAAArCn8AAAAAAKDIu+udtTp29ryt7eJk0sO3hxqYCChgsrIkJyfrdrmm0u29rcW+Bt0v9wMAAMNR+AMAAAAcGEv8AcD1Lfj1L7ui3zN3VdTgdtUMTAQUIBaLtOdb62U9u/8g+Za29nd419hcAADgivg6DgAAAAAgz0yZMkXly5eXu7u7GjdurG3btt3Q/ebMmSOTyaROnTrlbUAUeRUHL9GAubts7d0j2uj19tVl4psTgHT2kPRlZ+nbXtLZg9LmSUYnAgAA18GMPwAAAMCBOfHBNQw0d+5cRUZGatq0aWrcuLEmTpyoiIgIxcTEKDAw8Kr3O3LkiAYOHKjmzZvnY1oUJRaLRfXeXKmEC+l2/c+1rCRvd1eDUgEFSEaqtPl9aeO7UsZFydksNX9ZurO/0ckAAMB1MOMPAAAAAJAnJkyYoN69e+upp55SjRo1NG3aNHl6emrmzJlXvU9mZqYee+wxjRw5UhUrVszHtChKKgxemq3ot2NouAa15fKegI5skqbdKa19y1r0q9hSen6L1HKQ5GI2Oh0AALgOZvwBAAAADsyJCX8wSFpamnbs2KHBgwfb+pycnBQeHq4tW7Zc9X5vvvmmAgMD1atXL23cuPG6j5OamqrU1FRbOzEx8daCw+EdPJ1s11454C5VCfI2KA1QAO3/UTrzp1QsUGobJdXqwqLBAAAUIhT+AAAAAAC57syZM8rMzFRQUJBdf1BQkP74448r3mfTpk2aMWOGoqOjb/hxoqKiNHLkyFuJiiJkz98JuveDTbb2/tHt5OrMxZBQxGVlSRfOScVKWNstBkkmJ6lZf8nDz8hkAADgJlD4AwAAABwYX9BHYZGUlKQnnnhCn3zyiQICAm74foMHD1ZkZKStnZiYqNDQ0LyIiEIsPTNLVYYss+sL9DZT9ANO7ZMWD5CyMqSeP0pOTpJbMSl8hNHJAADATaLwBwAAAADIdQEBAXJ2dlZcXJxdf1xcnIKDg7ONP3jwoI4cOaKOHTva+rKysiRJLi4uiomJUaVKlbLdz2w2y2xmzSlc23+Lfi+3vk0v3FPFoDRAAZB2XtrwjvTTB9ain2sx6dTvUnAto5MBAIBbROEPAAAAcGBOYsofjOHm5qawsDCtXr1anTp1kmQt5K1evVr9+vXLNr5atWravXu3Xd/QoUOVlJSkSZMmMYsPNy0ry2LXPjK2g0FJgALizx+lpS9L8ces7aodpHZvS378PQsAgCOg8AcAAAAAyBORkZHq3r27GjZsqEaNGmnixIlKSUnRU089JUl68sknVbp0aUVFRcnd3V21atnPNPHz85OkbP3AjUjNyNSBU8nq8P7lNf22DbnHwESAwS4mSItekH7/3tr2KSO1f0eqRjEcAABHQuEPAAAAcGCs8Qcjde3aVadPn9awYcMUGxurevXqafny5QoKCpIkHTt2TE5OrLGG3Ldx/2k9MWNbtv5Ab3cD0gAFhJuXdO6oZHKWmjwntRwsmb2MTgUAAHIZhT8AAAAAQJ7p16/fFS/tKUnr1q275n1nzZqV+4FQJPy36FcxoJjWDGxpTBjASCeipZJVJVcPyclZ6vShZMmSgmsbnQwAAOQRCn8AAACAA3Nixh+AIiQu8aIaj1ltazerXEJfPd3EwESAQS4mSGtGS798IjUfKN09xNofVNPYXAAAIM9R+AMAAAAAAIXel1uPaujCPXZ9X/RsbFAawCAWi/T7QmnZa1JyrLUv8W9rP9f/BgCgSKDwBwAAADgwJz7kA1AEvDTnV30ffcKu78DodnJi2jOKkrOHpaWvSAdWWtvFK0odJkiVWhmbCwAA5CsKfwAAAAAAoNDaeugfu6Lfh481UPvapQxMBBjg9++l756RMi5Kzm7SnQOkOyMlV3ejkwEAgHxG4Q8AAABwYEz4A+DoHvl4q217wfN3qH5ZfwPTAAYpVU+SSSrfXLr3PSmgitGJAACAQSj8AQAAAACAQinpYrptu1nlEhT9UHScPyvFLJXqP25t+5eTnlknlazKt34AACjiKPwBAAAADow1/gA4KovFotojfrS13+taz7gwQH6xWKTo2dKPQ6ULZyX/8lL5O637AqsZGg0AABQMFP4AAAAAAECh02LcOtu2v6erAr1ZywwO7nSMtHiAdHSztR1YQ3L1MDYTAAAocCj8AQAAAA6MCX8AHNWxs+dt278Oa2NgEiCPpV+QNrwrbZ4kZaVLLh5Sy9ekpn0lZ1ej0wEAgAKGwh8AAAAAAChUth76x7Y9++nGBiYB8pjFIn1+v3T8Z2v7trZSu3esa/oBAABcAYU/AAAAwIE5GR0AAHJZ+deW2LXrhvoZEwTIDyaTdPvTUvxxqd3bUvWOTOcHAADXROEPAAAAAAAUCkMW7LZrt6kRpGJmPtqAA8nKlLbPlLwCpRr3W/tqPyRV6yC5FTM2GwAAKBT47RgAAABwYCZmBQBwEJ0/3Kydx+Jt7YNj2svZib/j4EBO7pJ+6C+d2CkVC5QqtJA8/Kwz/Cj6AQCAG0ThDwAAAAAAFGg/7o21K/rNfaYJRT84jtQkae0Y6edpkiVLMvtILV6VzN5GJwMAAIUQhT8AAADAgfGxOIDCLiY2Sc98scPWPjC6nVycWcEUDsBikfb9IC0bJCWdsPbV6iJFjJG8g43NBgAACi0KfwAAAAAAoEDKzLIoYuIGW7t/eBWKfnAccXukb56wbvuXlzqMlyqHGxoJAAAUfhT+AAAAAAfmxBp/AAqpjMwsVR6yzK7vpXuqGJQGyCUWi3XNPkkKri2F9ZCKlZSavyy5ehgaDQAAOAa+JgcAAAAAAAqU2ISL2Yp+h6Pay8SXGVCYHdsqTQ+X4o9d7rt3onT3UIp+AAAg11D4AwAAAByYKR9uAJCbTiVeVJOo1XZ9FP1QqJ0/Ky16QZoZIf29XVrz1uV9vK8BAEAu41KfAAAAAACgwGg05nLRr1GF4vrm2aYGpgFugcUi/TZXWjFEOn/G2lf/can1KGNzAQAAh0bhDwAAAHBgTCQAUJhMWPmnbbtV1ZL69KlGBqYBbsGZ/dLiAdKRjdZ2yWrSve9J5e4wNhcAAHB4FP4AAAAAAIDh5mw7pvdX77e1Z/a43cA0wC3aNcda9HPxkFq8KjXtJ7m4GZ0KAAAUART+AAAAAAfGmlgACoOPNxzUmKV/2Npv3l+Tv79Q+KSlSG7FrNt3DZRSTknNX5b8yxsaCwAAFC0U/gAAAAAAgGFOJ6XaFf2mPR6mtrWCDUwE5FBSnLTidensQenp1ZKTs+TqId33gdHJAABAEUThDwAAAHBgTkYHAIDruH30Ktv2t881VVi54gamAXIgK0va8am0aqSUmiCZnKRjW6XyzYxOBgAAijAKfwAAAAAAwBAR722wa1P0Q6ERu1v6ob/093Zru1Q9qeNEKaS+gaEAAAAo/AEAAAAOjTWyABRUy/ecVExckq29d2SEgWmAG5SRKq1+U9o6VbJkSm7e0j1vSLc/bb3EJwAAgMEo/AEAAAAAgHx1MT1Tfb7caWuvf6Wlipn5iAKFgJOrdPxna9GvRiepbZTkE2J0KgAAABt+qwYAAAAcGPP9ABQ0qRmZqvbGclt7YJvbVK5EMQMTAdcRf1zyLC65FZOcnKR7J0qJJ6Tb2hidDAAAIBsnowMAAAAAAICio8P7m+za/e6uYlAS4Doy06XN70tTGknr37ncH1yLoh8AACiwmPEHAAAAODDW+ANQkCzadUIHTiXb2kfGdjAwDXANx3+RFveX4vZY2yd2SlmZrOMHAAAKPAp/AAAAAAAgzyVcSNeLX/9qa28a1MrANMBVXDgnrX5T2v6pJIvk4S+1HiXVe8x6mU8AAIACjsIfAAAA4MD4iBJAQVF35I+27REda6iMv6eBaYArOLJZmtddSjltbdd7zFr0K1bC2FwAAAA5wOcAAAAAAPJNVFSUbr/9dnl7eyswMFCdOnVSTEyM3ZiLFy+qb9++KlGihLy8vNSlSxfFxcXZjTl27Jg6dOggT09PBQYG6pVXXlFGRobdmHXr1qlBgwYym82qXLmyZs2alddPD8BVlH9tiV27R7MKBiUBrsG/vJR+QQqoKvVYInX6kKIfAAAodCj8AQAAAA7MZDLl+S0n1q9fr759+2rr1q1auXKl0tPT1aZNG6WkpNjGDBgwQD/88IPmzZun9evX68SJE+rcubNtf2Zmpjp06KC0tDT99NNP+uyzzzRr1iwNGzbMNubw4cPq0KGDWrVqpejoaPXv319PP/20VqxYcesvKoAcqT3c/s/dbyPaGJQE+I/0i9Lv319u+5aWnlwk9dkklb/TuFwAAAC3wGSxWCxGhwAcxYFTF4yOACAfVQ70sG13+zzauCAA8t3XT9YzOsINW/BbbJ4/xgN1gm/6vqdPn1ZgYKDWr1+vu+66SwkJCSpZsqRmz56tBx98UJL0xx9/qHr16tqyZYuaNGmiZcuW6d5779WJEycUFBQkSZo2bZoGDRqk06dPy83NTYMGDdKSJUu0Z88e22M98sgjio+P1/Lly2/tCaNAS0xMlK+vrxISEuTj42N0nCLv4WlbtO3IWVv7cFT7HH9hAMgTh9ZLSyKlfw5IT34vVWxpdCIAAICrysl5DjP+AAAAAAdmyodbamqqEhMT7W6pqak3lC8hIUGSVLx4cUnSjh07lJ6ervDwcNuYatWqqWzZstqyZYskacuWLapdu7at6CdJERERSkxM1N69e21j/n2MS2MuHQNA3kvPzLIr+v35VjuKfjBe8mnpu2ekz++zFv28gqSMNKNTAQAA5BoKfwAAAABuSVRUlHx9fe1uUVFR171fVlaW+vfvr2bNmqlWrVqSpNjYWLm5ucnPz89ubFBQkGJjY21j/l30u7T/0r5rjUlMTNSFC1ylAcgPU9cdtG0vfuFOubnwEQQMlJUlbf9Umhwm/TZXkkm6vbfU7xfpNi4/CwAAHIeL0QEAAAAA5J38mFwzePBgRUZG2vWZzebr3q9v377as2ePNm3alFfRABjkRPwFTVj5p61dq7SvgWkASfN7XF7PL7i2dO8kqUyYoZEAAADyAoU/AAAAALfEbDbfUKHv3/r166fFixdrw4YNKlOmjK0/ODhYaWlpio+Pt5v1FxcXp+DgYNuYbdu22R0vLi7Otu/S/y/1/XuMj4+PPDw8BCBvTVx1uej3RJNyBiYB/q/mA9KB1VKrIVKjZyRnPhIDAACOietsAAAAAA7MSaY8v+WExWJRv379tGDBAq1Zs0YVKlSw2x8WFiZXV1etXr3a1hcTE6Njx46padOmkqSmTZtq9+7dOnXqlG3MypUr5ePjoxo1atjG/PsYl8ZcOgaAvPXN9r9s22/eX9PAJCiyYpZJvy+63K7RSXoxWmr6PEU/AADg0PhNBwAAAEC+6du3r2bPnq3vv/9e3t7etjX5fH195eHhIV9fX/Xq1UuRkZEqXry4fHx89MILL6hp06Zq0qSJJKlNmzaqUaOGnnjiCb3zzjuKjY3V0KFD1bdvX9vMwz59+mjy5Ml69dVX1bNnT61Zs0bffPONlixZYthzB4oCi8WiCoOX2toP1C8tU35ccxi4JOEvadkg6Y/FkmcJqfydkmdx67WvvUoanQ4AACDPUfgDAAAAHFhB+7x96tSpkqSWLVva9X/66afq0aOHJOm9996Tk5OTunTpotTUVEVEROjDDz+0jXV2dtbixYv13HPPqWnTpipWrJi6d++uN9980zamQoUKWrJkiQYMGKBJkyapTJkymj59uiIiIvL8OQJF2b+LfpI0tkttg5KgyMnMkLZ9JK0dI6UlS04uUv0nJJecXYoaAACgsKPwBwAAACDfWCyW645xd3fXlClTNGXKlKuOKVeunJYuXXrV/ZK1uPjrr7/mOCOAm/Pq/F127b0jI2R2cTYoDYqUv3ZIi1+SYndb26GNpXvfk4K4zCwAACh6KPwBAAAADsyUwzX4AOBmnEq6aLeu36Ex7eXkxN8/yAfnjkozWkuWTMndT2r9pnWmn5OT0ckAAAAMQeEPAAAAAADckt6fbbdtr4q8i6If8o9/Oan+41JGqtTmLdbxAwAARR6FPwAAAMCBFbQ1/gA4nmP/nNeuvxIkSaV83VU50NvgRHBoZw9JK4ZIEaOl4hWtffe+JzlxWVkAAACJwh8AAAAAALhJMbFJipi4wdae80wTA9PAoWWkSpvflza+K2VctPZ1+9r6f4p+AAAANhT+AAAAAAfmxBp/APJIemaWXdGvS4MyKleimIGJ4LAOb5SWREpn/rS2K7a0XtYTAAAA2VD4AwAAAAAAOVZlyDLbdv/wKuoffpuBaeCQUs5IP74h7ZptbRcLlNpGSbW6cC1rAACAq6DwBwAAADgwPhcFkB8o+iFP7Jj1/6KfSWrYU7pnmOThZ3AoAACAgo3CHwAAAAAAyJGth/6xbf/6RmsDk8DhZGZIzv//uOqOF6TY36Q7XpTKNDQ2FwAAQCFB4Q8AAABwYMz4A5AX1sacsm37F3MzMAkcRtp5acM70qF1Uq9V1uKfi1l6+HOjkwEAABQqFP4AAAAAAMANy8qy6KP1hyRJ1YK9DU4Dh/Dnj9LSl6X4Y9Z2zFKpxn3GZgIAACikKPwBAAAADswkpvwByF2PTt9q225SsYSBSVDoJZ6Qlr8m/f69te1TRmr/jlStg7G5AAAACjEKfwAAAAAA4IacSU7V1kNnbe0R99U0MA0KraxMadsn0pq3pLQkyeQsNX1eavGaZPYyOh0AAEChRuEPAAAAcGBOTPgDkIse/miLbfvb55oamASFm0n6faG16Ffmdune96Tg2kaHAgAAcAgU/gAAAAAAwHX9k5yqQ6dTbO2wcsUNTINC52KCdWaf2UtycrIW+45tkRr0sLYBAACQK/jNCgAAAHBgpnz4D4DjO372vMLeWmVrL+rXzMA0KFQsFmnvAmlyI2ntmMv9gdWlhj0p+gEAAOQyfrsCAAAAAABXdTYlTc3fWWtrVy/lozpl/IwLhMLj7GHpq4ekeT2k5FjpwEop/aLRqQAAABwal/oEAAAAHJiJCXkAbkFWlkUNRq20tUN83bXspeYGJkKhkJEmbflAWv+OlHFRcnaT7hwg3RkpubobnQ4AAMChUfgDAAAAAABX9PmWI7bt4sXc9NPge4wLg8Ihbq80v6d0+g9ru8JdUocJUkAVY3MBAAAUERT+AAAAAAfGGnwAblbSxXSN+OF3W3vnG60NTINCw7OElHhC8gyQIsZIdR5m+jkAAEA+ovAHAAAAAADs/PZXvO6bvNnWnvxofQPToECzWKTDG6SKLaxt72Dpka+koFqSZ3FjswEAABRBTkYHAAAAAJB3nEx5fwPgeHrO+sWufW+dEIOSoEA7HSPN6iB9fp+0//JakKpwF0U/AAAAgzDjDwAAAAAA2KRnZulMcpokqU4ZXy3qd6fBiVDgpF+QNoyTNr8vZaVLrp5SUqzRqQAAACAKfwAAAIBDY40/ADmRmWVRlSHLbO2X7qliYBoUSPtXSUtfls4dsbZvayu1Hyf5lTU0FgAAAKwo/AEoMtasWKK9v+3UgZh9OnJovzLS09V/8Ei1bn//Ve8Te+JvffPFdO38ZavOnT0jLy9vhZavqA4PPKzmrdrYxh3c/4d+Wr9av/6yVbEn/lJKSrJKBAQqrPEd6vrk0wooGWR33MSEeG1ev0rbftqoo4cO6J8zp+TpWUxVqtXU/Q89prDGd+TZ6wAUNf4ermpS3k/1SnsrxNddfu4uSk7LVMypFP2w95QOnjl/zfsHernp7Y5V5e7qrFUxZzTj57+yjSnm5qxOtYPUMNRXJYq56kJ6lvbFJWt+dKz+Srh4xeMGe5vVtX6wagZ7y+zipJOJqVr15xmt+vOfXHneAADk1KJdJ/Ti17/a9bWsGmhQGhRIywdLWz+0bnuHSO3fkardK5n4kgkAAEBBQeEPQJHxxfTJOhV7Uj6+/ipeIkCnYk9ec/yvv2zRqNcHSJIa39FCwSGllZyUpMMH/1T09p/tCn9T3h2tmN9367bqtXTXPW3l6uqqmH17tHThPG1au0rvTJmp0HIVbOM3rV2pKeNHq0RASdUNa6wSAYE6czpOP61frR0/b1bP5/qry6M98uR1AIqaiOoBur9WkGITU/XbiSQlXcxQsI9ZDUN9dXuorz7YdFRbj8Rf8b4mSX2aXfvb615mZ73ZropK+bjrz1Mp2nE8QX6ermpU1ld1Q7z11sqD2YqLpX3NGtnuNrk5m7T1SLzOXUhX/dI+6tUkVGX83DVr29+59OwBPosFcGOilu3TR+sP2fXtHRkhZxbyxL+Vayb9PE1q/JzUarBk9jY6EQAAAP6Dwh+AIuPFQcNVukxZBQaH6JsvZ+qzj96/6thTcSc15o1XVCIgUKMnfqTAoFJ2+zMzMuzaLVu318A3RiukjH2BYN5Xn2rWtEmaPnm8Ro6bbOsvHVpOw8ZO0u1Nm8vJycnW/1f33op89nF9/slktWzTXiUC+IY1cKsOnjmvN1fs1764FLv+qoHFNLR1JfVqXEbbjyUoI8uS7b7ta5RUlZLFNHvHCT15e+krHv/BusEq5eOuJXtP6csdJ2z9VQI8NbxtFfW5I1SvLorRv4/eq3Goirk5a+yqg9p1IkmS9E10rIa0rqSIaiW1+dA57b/OTEQAAHLL5gNn7Ip+fVpU0mvtqhmYCAXGiWgp8YRUrb21Xf1eqd92qUQlQ2MBAADg6pyuPwQAHEP9hk0UGBxyQ2O/+WKGzqckq9/AodmKfpLk7GL/vYn7HuyWregnSZ0feVJms7v27Nph1183rJEaN2thV/STpDJly6v53RHKyMjQvt27bigrgGv75VhCtqKfJMWcStHeuGR5mV1U1t892/4QH7MerldK3++O05GzF656/IahvsrKsmjerli7/v1nzmvnXwkq4+eh6kFetv5gb7OqB3tp78kkW9FPsq6pNC/aOhP57ttK5Ph5AldjyocbgMJr38lEPTb9Z1t7RveGFP0gpSZZL+v5SStp4XNS8unL+yj6AQAAFGjM+AOA/7BYLNq0dqV8fP1UN6yR9sf8rj2/7lCWJUsVq1RV3QaNshXsrsZkMsnZxSVHl1lz+X9R0dnZ+WbiA8iBzP/P8svMsu83maTnmpVVbFKqFuyO020li131GL4erkpKzVBqRla2faeS0yRJNUt56fe4ZElSjWBrEfC3k0nZxv9xKkUX0zPtCoUAAOSFM8mpavjWKru+AeG36Z7qQVe5B4oEi0Xa94O0bJCU9P8rGVS+x9hMAAAAyBEKfwDwH7En/1ZSYoKqVKuhD8aN0vJF39rtr1SlmoaNnaSAwOt/KLJ53UqdT0nWna1a39Bjn09J1qZ1q+TmZlbNug1uKj+AG1OimKtqlfLWufPpOhZvP6OvU60glS/hqWFL/7QVB68m6WKGfN1dZHZxylb8C/RykySV8jHb+oL/vx2bmJrtWBaLtVhYxtddTibpOg8N3BAnFvkD8B/JqRnZin4PNyyjl8KrGJQIBcK5o9KyV6U/l1vb/hWkDu9KlcONzQUAAIAcofAH5FBqaqpSU+0/rDWbzTKbzVe5BwqbhHNnJUkH98for6NH1H/wSDVp3krnk5M094sZWvHDdxrzxkBN+OiLax7ndFyspk16R2azu554uu8NPfbkd99S/Nl/9Hiv5+Xj63erTwXAVTibpL7NysnN2Umf7Dwuy78KbGX93dW5TpAW7z2lw9e4xOclu04kqmXlEupSN1iz/7XGX6UAT9Uv4ytJ8nS7PIPX09U6Y/h8euYVj3chPVNOTiZ5uDorJe3KYwAAuBW1hq+wa8e81VZmF642UaSl/CNNvUNKS5acXKU7+0vNX5ZcPYxOBgAAgBxijT/gX44fP66ePXtec0xUVJR8fX3tblFRUfmUEPkhK8s6YycrM1OPP/28Wre/X97ePgoqVVovvjpMVWvUVszvu7X3t1+veozEhHgNf7WfEs6dVb9X3lCZsuWv+7izpr2v9auWK6xxMz38RK/cejoA/sMkqU+zsqoe7KXVf57RpkPnbPucnUx6rlk5xSal6dv/rNl3NfOiY3XufLo61gzU8LaV9VhYiPreWVbDIyrr7/iLkmRXWATyG2v8Afi3dTGn7NoU/SBJKlZCqvuIVL659NxP0t1DKfoBAAAUUhT+gH85e/asPvvss2uOGTx4sBISEuxugwcPzqeEyA/FvC6vrdX4zpbZ9jdqdpckaf8fe694/8SEeL3e/xkdO3xQfV8eorsjOlz3Mb+YPkXzvpqpug0aacjo8azvB+QRk6Rn7yirOysW18aDZzVj6192+zvVClRZP3dN++mYMm7wOptnz6dryJI/tWb/Pwr0clPbagGqUrKY5kXHauGeOElS4sUM2/jz6dYvF3i6XvnPuYers7IsFl24yoxAAABuRY9Pf7FtHxrTnqJfUXX+rPRDf+nMgct9EWOk7j9IJW8zLBYAAABuHZf6RJGyaNGia+4/dOjQdY/BZT0dX6mQUDk5OysrM1NeXt7Z9l/qS0vNvj7XpaLf4QN/6rnIwWp3/4PXfbwvpk/RnM8+Ue36DTXs7Ukym91v/UkAyObSTL+7KhXX5sPnNPWnY/pvaa9ccU85OZn0Vvsrf+AVXjVA4VUD9MuxBE1Yd9jWf+5Cuj7Zcjzb+C51gyVJh/45b+u7tLZfsE/2f0tMJuu6gKeT01jfD7mHKXkArqB8Ceu/eShiLBZp1xzpxyHS+X+kc4elJ7+37nPhPBcAAMARUPhDkdKpUyeZTCZZrnHNNZOJk9+izs1sVvVadbV3104dO3JINevUt9t/7Ii1QBxYKsSu/99Fvz79X9O9D3S97mPZin71wjTinQ/k7s7ldIC88O+i30+Hz2nKpqNXvPzm7pNJSkrNyNbv7+Gi+mV89Xf8RcWcTtGRG1j7z2SSmpb3U0aWRduOxtv698UlS5LqlPLWoj32l1urFlhM7q7O2vqv8QAA5Jb482m27bFd6hiYBIY4s19aPEA6stHaLllNajHI2EwAAADIdRT+UKSUKlVKH374oe6///4r7o+OjlZYWFg+p0JB1L7TQ9q7a6e+mjlNI9/5QK5ubpKk40cPa9WyRfLwLKawxs1s45MSEzRkwLM6fOBPPfvSq+rY5ZHrPsYX0z/UnM8+Uc26DTTinckU/YA8cunynndVKq6tR65e9JOklTFnrthfPchL9cv4al9csmb8bH95UGeT5ORkUnrm5YOaJD0eFqLSvu5a8vspnbtwuZh4MjFV+2KTVbOUt+qGeGvXiSTrcZxMeqheKUnSmv3/3PwTBv7DxJQ/AP/367F423bjCsWNC4L8lX5R2jhe2jxRykyTXDykFq9KTftJLm5GpwMAAEAuo/CHIiUsLEw7duy4auHverMBUbit+OE77f3tV0nSkUPWtSx+XLxAu3/dLkmqWae+Ijp2liS1uKetflq/WpvXrVK/px5Wg0ZNlZKcrJ/Wr1Z6Wpoih4ySt7eP7dijh0Tq0P4YlSlXQUmJCfpq5tRsj3//Q4/J6//3Wbn0e8357GM5O7votuq19O3Xs7KNr12/oerUvz1XXwOgKOpcN1gtKhfXhfRMnUxM1QN1grON2X4sQUfPXX8W35X4erhq3H3V9NuJJJ1OTpWLk5PqhHirtJ+7dv6VoDk7T2a7z8yf/9KIdlX0cqsK2nIkXvEX0lW/tI9C/T204o/T2n/6/BUeCQCAW/PUrMvr+3GlkyJk5+fShnes25VbSx3elfzLGxoJAAAAeYfCH4qUV155RSkpKVfdX7lyZa1duzYfEyE/7f3tV61e/oNd3++7o/X77mhb+1Lhz2QyadDwsVpU62utXLJQyxZ9K1dXN1WvVVcPP9FLtes3tDtOXOwJSdJfRw9r9qcfXfHxw9vdZyv8nfr/+MzMDC2Y8/kVxz8qUfgDckHJYtZvsnu4Ol+x6CdJp5PTbrrwdz4tU9uPJ6hqYDE1KOOjjCyL/oq/qI9/OqZ1B85mW0dQkv5KuKg3lv6ph+uVUv0yPjK7OCk2MVUzfz6ulTHM9kPu4rN9AJL0495Y27arM38xODyL5fI/AGE9pD+XSQ26SzXu5x8GAAAAB2eyML0JyDUHTt3ch8YACqfKgZcvz9rt82jjggDId18/Wc/oCDds26GEPH+MRhV98/wxgBuVmJgoX19fJSQkyMfH5/p3KAJiEy6qSdRqW3vPyAh5mfkesEPKypJ2zJR+myd1/4FLeQIAADiInJznOOVTJgAAAAAGMOXDDbiWKVOmqHz58nJ3d1fjxo21bdu2q4795JNP1Lx5c/n7+8vf31/h4eHXHI8bc+hMsm17aIfqFP0c1cnfpBmtpSUvS8e3Sru+NjoRAAAADEDhDwAAAACQJ+bOnavIyEgNHz5cO3fuVN26dRUREaFTp05dcfy6devUrVs3rV27Vlu2bFFoaKjatGmjv//+O5+TO47MLIse/eRnSZK/p6uebl7R4ETIdanJ0ooh0sctpb+3S27eUrtxUv3HjU4GAAAAA1D4AwAAABwZU/5goAkTJqh379566qmnVKNGDU2bNk2enp6aOXPmFcd/9dVXev7551WvXj1Vq1ZN06dPV1ZWllavXn3F8bi+VfvibNt3VAowMAnyxL7F0pRG0pbJkiVTqtFJ6veL1PgZycnZ6HQAAAAwANf3AAAAAADkurS0NO3YsUODBw+29Tk5OSk8PFxbtmy5oWOcP39e6enpKl68+FXHpKamKjU11dZOTEy8+dAOJivLome/2GFrT3msgYFpkOssFunnaVLi35JfOanDeKlKa6NTAQAAwGDM+AMAAAAcmCkf/gOu5MyZM8rMzFRQUJBdf1BQkGJjY2/oGIMGDVJISIjCw8OvOiYqKkq+vr62W2ho6C3ldiST1x6wbT/WuKyBSZBrMtOltPPWbZNJuvc9qfnL0vNbKfoBAABAEoU/AAAAAEABNHbsWM2ZM0cLFiyQu7v7VccNHjxYCQkJttvx48fzMWXBlZyaoQkr/7S1Rz9Q28A0yBXHt1nX8Vs1/HJfQBXpnmGSm6dhsQAAAFCwcKlPAAAAwIGZmJAHgwQEBMjZ2VlxcXF2/XFxcQoODr7mfd99912NHTtWq1atUp06da451mw2y2w233JeR7N8z+VZlR90q29gEtyyC+ekVSOlHbMkWaSkWOnuoZK7r9HJAAAAUAAx4w8AAAAAkOvc3NwUFham1atX2/qysrK0evVqNW3a9Kr3e+eddzRq1CgtX75cDRs2zI+oDmngvF227Y51QwxMgptmsUi/fSNNvl3a8akki1TvManvNop+AAAAuCpm/AEAAAAOjAl/MFJkZKS6d++uhg0bqlGjRpo4caJSUlL01FNPSZKefPJJlS5dWlFRUZKkt99+W8OGDdPs2bNVvnx521qAXl5e8vLyMux5FDb/nu13d7VAA5PgpsUflxb1kw6ts7YDqkr3TpDK32loLAAAABR8FP4AAAAAAHmia9euOn36tIYNG6bY2FjVq1dPy5cvV1BQkCTp2LFjcnK6fCGaqVOnKi0tTQ8++KDdcYYPH64RI0bkZ/RCy2KxqM+XO2ztmT1uNzANbpqLu3Qi2vr/u16R7nhRcnEzOhUAAAAKAQp/AAAAgCNjyh8M1q9fP/Xr1++K+9atW2fXPnLkSN4HcnBbDv1j225eJcDAJMixk79Jpf6/pqVXSanLDKlERal4RWNzAQAAoFBhjT8AAAAAABzETwcuF/4+79nIwCS4Ycmnpe+ekT5qLv2x5HJ/lXCKfgAAAMgxZvwBAAAADszElD+gyMjKsmjy2gOSpGAfd5lM/Pkv0LKypJ2fSauGSxcTJJmkuN+lah2MTgYAAIBCjBl/AAAAAPLNhg0b1LFjR4WEhMhkMmnhwoV2+00m0xVv48aNs40pX758tv1jx461O85vv/2m5s2by93dXaGhoXrnnXfy4+kBhhr6/R7b9l23cZnPAi1urzQzQlrc31r0C64j9V4ttXjF6GQAAAAo5JjxBwAAADiwgjbhJyUlRXXr1lXPnj3VuXPnbPtPnjxp1162bJl69eqlLl262PW/+eab6t27t63t7e1t205MTFSbNm0UHh6uadOmaffu3erZs6f8/Pz0zDPP5PIzAgqG00mpmv3zMVt79AO1DUyDa/rpA2nlcMmSKbl5SXcPlW7vLTnzEQ0AAABuHb9VAgAAALglqampSk1Nteszm80ym83ZxrZr107t2rW76rGCg4Pt2t9//71atWqlihXt17ny9vbONvaSr776SmlpaZo5c6bc3NxUs2ZNRUdHa8KECRT+4LDeXPy7bXvU/TXl6swFfgqsgKrWol/1+6S2YyXf0kYnAgAAgAPhTAAAAABwYKZ8uEVFRcnX19fuFhUVdcvZ4+LitGTJEvXq1SvbvrFjx6pEiRKqX7++xo0bp4yMDNu+LVu26K677pKbm5utLyIiQjExMTp37twt5wIKmswsi37YdcLWfrxJOQPTIJuEv6T9qy63b2sj9V4rdf2Coh8AAAByHTP+AAAAANySwYMHKzIy0q7vSrP9cuqzzz6Tt7d3tkuCvvjii2rQoIGKFy+un376SYMHD9bJkyc1YcIESVJsbKwqVKhgd5+goCDbPn9//1vOBhQkY5fts22Pf6iuTAXtGr9FVWaGtO0jae0YyeQk9dsueVv/LlLpBsZmAwAAgMOi8AcAAAA4snz4/P9ql/W8VTNnztRjjz0md3d3u/5/Fxnr1KkjNzc3Pfvss4qKisqTHEBBFptwUZ9sPGxrdwkrY2Aa2Py1Q1r8khS729oObSylJUsKMjQWAAAAHB+FPwAAAAAFzsaNGxUTE6O5c+ded2zjxo2VkZGhI0eOqGrVqgoODlZcXJzdmEvtq60LCBRW+08l2banPR5mYBJIki7ES6vflLbPlGSR3P2k1iOl+k9KTqy2AgAAgLxH4Q8AAABwYKb8mPKXB2bMmKGwsDDVrVv3umOjo6Pl5OSkwMBASVLTpk01ZMgQpaeny9XVVZK0cuVKVa1alct8wuGMWfqHJKlscU+1rUVh21BpKdKHTaWk/6+3WOcRqc1bkldJY3MBAACgSOHrZgAAAADyTXJysqKjoxUdHS1JOnz4sKKjo3Xs2DHbmMTERM2bN09PP/10tvtv2bJFEydO1K5du3To0CF99dVXGjBggB5//HFbUe/RRx+Vm5ubevXqpb1792ru3LmaNGlStnUIgcIuJTVD+04mSpKOnT1vcBrIrZhUs5NUorLU/Qep80cU/QAAAJDvmPEHAAAAODBTAZvwt337drVq1crWvlSM6969u2bNmiVJmjNnjiwWi7p165bt/mazWXPmzNGIESOUmpqqChUqaMCAAXZFPV9fX/3444/q27evwsLCFBAQoGHDhumZZ57J2ycH5LOaw1fYtuf3aWpgkiIqI1X66X2p2r1SYHVr391vSOEjJBfWGwUAAIAxTBaLxWJ0CMBRHDh1wegIAPJR5UAP23a3z6ONCwIg3339ZD2jI9yw3X8l5/lj1C7jleePAdyoxMRE+fr6KiEhQT4+PkbHyRPn0zJUY9gKu74jYzsYlKaIOrxRWhIpnflTKnuH1GMJa/gBAAAgz+TkPIcZfwAAAIADK2AT/gDcoswsS7ai34HR7QxKUwSlnJF+HCrt+traLhYo3d6r4E2vBgAAQJFF4Q8AAAAAgEJiyILddm1m+uWTrCzp1y+klcOki/GSTFLDntI9wyQPP4PDAQAAAJdR+AMAAAAcGZNQAIdxMT1Tc345bmv/MiTcwDRFzO550g8vWreDakv3vieF3m5sJgAAAOAKKPwBAAAAAFAIvLfqT9v2R0+EqaS32cA0RUytztL2GVL1jlLj5yRnPk4BAABAwcRvqgAAAIADMzHlD3AYH60/ZNuOqBlsYJIi4M8fpW0fSY/MllzMkrOr1HMFa/kBAACgwHMyOgAAAAAAALhx3RqFGh3BcSWekL55Upr9kHRglbTt48v7KPoBAACgEGDGHwAAAODA+JwacAzbj5y1bfduXtHAJA4qK9Na5FvzlpSWLJmcpabPS2FPGZ0MAAAAyBEKfwAAAAAAFHCf/nTEtl2xpJdxQRzR3zulxf2lk7us7TK3S/e+JwXXNjQWAAAAcDMo/AEAAAAOjAl/gGNY8ttJSVKAl5vBSRzQ2tHWop+7rxQ+QmrQQ3JiZRQAAAAUThT+AAAAAAAowM4kp9q2+7WqbGASB2GxSJnpksv/i6jt3pE2vCu1Hil5BRqbDQAAALhFFP4AAAAAR8aUP6DQW74n1rbd/Y7yxgVxBGcPS0sHSr5lpI6TrH0lKkkPTDU2FwAAAJBLKPwBAAAAAFCADV24x7ZtMlHNvykZadJP70sbxkkZFyUXd6nFa5JPKaOTAQAAALmKwh8AAADgwExM+QMKtcSL6bbtMv4eBiYpxI7+JC0eIJ3+w9qucJfUYQJFPwAAADgkCn8AAAAAABRQdUb8aNv+vGcjA5MUQhfOST8OlX790tr2DJAixkh1HpaYOQkAAAAHReEPAAAAcGB8tg0UXimpGXbtiiW9DEpSSGVlSX8stW6H9ZDCR0ge/kYmAgAAAPIchT8AAAAAAAqgLQf/sW3ve7OtgUkKkfhjkm+o9VsPxUpI90+RPEtIZRsbnQwAAADIF05GBwAAAACQd0z5cAOQN3b9FS9J8ja7yMPN2dgwBV36BWn1m9L7DaR9iy73V2tP0Q8AAABFCoU/AAAAAAAKmPTMLH2w5oAkKek/l/zEf+xfJX3YRNo4XspKlw6uMToRAAAAYBgu9QkAAAA4MqbkAYXSxv2nbdu9m1cwMEkBlnhSWjFY2rvA2vYpLbV7R6rWwdhcAAAAgIEo/AEAAAAAUMD0nLXdtj2kQw0DkxRQu+dLiwdIqYmSyUlq/JzUarBk9jY6GQAAAGAoCn8AAACAAzMx5Q8odDKzLLbtDrVLGZikAPMsYS36hTSQOk6UStU1OhEAAABQIFD4AwAAAACgAEnPzLJtj36gloFJCpDUJOnkLqn8ndZ2pVbS499KFVtJTs7GZgMAAAAKEAp/AAAAgAMzMeEPKHTeW/mnbdvdtYgXtSwWad8iadlr1hl+fbdJvqWt+yqHG5sNAAAAKIAo/AEAAAAAUIDM3HzYtl2kC3/njkpLX5H2r7C2/StIKacuF/4AAAAAZEPhDwAAAHBgTPgDCp/0TOsaf53rF9ECV2a6tGWytO5tKeOC5OQq3dlfav6y5OphdDoAAACgQKPwBwAAAABAAXH87Hnb9ov3VDEwiUEy06VP7pZif7O2yzeXOkyQSt5mbC4AAACgkKDwBwAAADgypvwBhcr2o2dt2+UDihmYxCDOrlLFllLi31Kb0VLdR1isFAAAAMgBCn8AAAAAABQQA+bukiS5OTsZnCSfWCzSrjlScG0puJa1r+Vr0p0DJM/ixmYDAAAACiEKfwAAAIADMzHlDyg0MrMstm1X5yLwZ/f0n9KSSOnIRqnM7VLPHyUnJ8mtmPUGAAAAIMco/AEAAAAAUAD8cuTyZT63vH6PgUnyWPoFaeMEadN7Ula65OIhVW0vWbIkFZGZjgAAAEAeofAHAAAAODCWxgIKj3MpabZtH3dXA5PkoYNrpMWR0rnD1naVNlL7cZJ/eUNjAQAAAI6Cwh8AAAAAAAXAN9uPS5J83B30VH3/SumrB63b3qWktmOlGvfzDQUAAAAgFzno2QQAAAAASazwBxQS8efTtDbmtCTJ3dXZ4DR5pNLdUukwqUwjqdXrkruP0YkAAAAAh0PhDwAAAAAAg9V7c6Vtu1P90gYmyUWxu61r+XX6UHL1kJycpaeWSy5uRicDAAAAHBaFPwAAAMCRMeUPKPBm/3zMrv16++oGJcklqcnSuihp61TJkimVrCq1fM26j6IfAAAAkKco/AEAAAAAYKBRi3+3bR+Oam9gklywb7G07FUp8W9ru0YnqUF3QyMBAAAARQmFPwAAAMCBmZjyBxR4twV7a9fxeL0SUVUmUyH9Mxt/TFo2SIpZam37lZM6jJeqtDY2FwAAAFDEUPgDAAAAAMBAu47HS5KqBXsbG+RW/DjUWvRzcpHueFG66xXJzdPoVAAAAECRQ+EPAAAAcGCFdfIQUFSkZmTatt1cnAxMchOysiSn/2duPcq6tl/EaCmwkK9RCAAAABRiFP4AAAAAADBI/Pl02/YdlQIMTJIDF85Jq0ZKWenS/VOsff7lpCe+MzYXAAAAAAp/AAAAgCNjwh9QsB06nSJJcnEyydmpgP+JtVik3fOkFa9LKaclmaRm/aWAKkYnAwAAAPB/FP4AAAAAADDI1PUHJUkZWRaDk1zHmQPSkkjp8HprO6CqdO8Ein4AAABAAUPhDwAAAHBgrPEHFGxHzlhn/IX4uhuc5CrSL0qbJ0obx0uZaZKLu3TXQOmOlyQXN6PTAQAAAPgPCn8AAAAAABggM8uiY2fPS5JaVgs0OM1VZFyQfpluLfpVukfq8K5UvKLRqQAAAABcBYU/AAAAwKEx5Q8oqJJTM2zbPe4ob1yQ/zp/VvLwt04Z9vCX7n3PWvir2ZlpxAAAAEAB52R0AAAAAAAAiqItB8/YtisGFDMwyf9lZUnbP5Xeryft+fZyf/WOUq0uFP0AAACAQoAZfwAAAIAD43N6oODa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sklearn.metrics import roc_curve, auc\n","\n","def plot_test_metrics(y_true, y_prob, name):\n","\n"," y_pred = (y_prob > 0.5).astype(int)\n","\n"," plt.figure(figsize=(18,12))\n","\n"," # 1. Confusion Matrix (Blue-White)\n"," plt.subplot(2,2,1)\n","\n"," cm = confusion_matrix(y_true, y_pred)\n","\n"," sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues',\n"," cbar=True,\n"," square=True,\n"," linewidths=1,\n"," linecolor='white',\n"," annot_kws={\"size\":14, \"weight\":\"bold\"}\n"," )\n","\n"," plt.xlabel(\"Predicted\")\n"," plt.ylabel(\"Actual\")\n"," plt.title(f\"{name} - Confusion Matrix\")\n","\n"," # 2. ROC\n"," plt.subplot(2,2,2)\n"," fpr, tpr, _ = roc_curve(y_true, y_prob)\n"," plt.plot(fpr, tpr)\n"," plt.plot([0,1],[0,1],'--')\n"," plt.title(f\"{name} ROC Curve\")\n","\n"," # 3. PR Curve\n"," plt.subplot(2,2,3)\n"," precision, recall, _ = precision_recall_curve(y_true, y_prob)\n"," plt.plot(recall, precision)\n"," plt.title(f\"{name} Precision-Recall\")\n","\n"," # 4. F1 Curve\n"," plt.subplot(2,2,4)\n"," f1 = 2 * (precision * recall) / (precision + recall + 1e-8)\n"," plt.plot(recall, f1)\n"," plt.title(f\"{name} F1 Curve\")\n","\n"," plt.tight_layout()\n","\n"," plt.savefig(base_path+f\"/figures/{name}_test.png\", dpi=300)\n","\n"," plt.show()"],"metadata":{"id":"v4lsVQ2iFZBO","executionInfo":{"status":"ok","timestamp":1774376591063,"user_tz":-330,"elapsed":5,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":20,"outputs":[]},{"cell_type":"code","source":["from sklearn.metrics import roc_curve, precision_recall_curve\n","\n","def plot_test_metrics(y_true, y_prob, name):\n","\n"," y_pred = (y_prob > 0.5).astype(int)\n","\n"," plt.figure(figsize=(18,12))\n","\n"," # 1. Confusion Matrix\n"," plt.subplot(2,2,1)\n"," cm = confusion_matrix(y_true, y_pred)\n","\n"," sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt='d',\n"," cmap='Blues',\n"," square=True,\n"," linewidths=1,\n"," linecolor='white',\n"," annot_kws={\"size\":14}\n"," )\n","\n"," plt.title(f\"{name} - Confusion Matrix\")\n","\n"," # 2. ROC\n"," plt.subplot(2,2,2)\n"," fpr, tpr, _ = roc_curve(y_true, y_prob)\n"," plt.plot(fpr, tpr)\n"," plt.plot([0,1],[0,1],'--')\n"," plt.title(f\"{name} - ROC\")\n","\n"," # 3. PR Curve\n"," plt.subplot(2,2,3)\n"," precision, recall, _ = precision_recall_curve(y_true, y_prob)\n"," plt.plot(recall, precision)\n"," plt.title(f\"{name} - PR Curve\")\n","\n"," # 4. F1 Curve\n"," plt.subplot(2,2,4)\n"," f1 = 2*(precision*recall)/(precision+recall+1e-8)\n"," plt.plot(recall, f1)\n"," plt.title(f\"{name} - F1 Curve\")\n","\n"," plt.tight_layout()\n","\n"," plt.savefig(base_path+f\"/figures/{name}_test_metrics.png\", dpi=300)\n","\n"," plt.show()"],"metadata":{"id":"eQf3N4t8F1wN","executionInfo":{"status":"ok","timestamp":1774376675107,"user_tz":-330,"elapsed":149,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":22,"outputs":[]},{"cell_type":"code","source":["# For each strategy (same preds used)\n","plot_test_metrics(y_test, preds, \"Final_Model\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":737},"id":"C4Dx-YqDFkey","executionInfo":{"status":"ok","timestamp":1774376610499,"user_tz":-330,"elapsed":3612,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"54e36a12-43df-465a-c3af-26e4aabe5085"},"execution_count":21,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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vs Validation Accuracy\")\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Accuracy\")\n","\n","plt.grid(True)\n","\n","plt.savefig(base_path+\"/figures/train_val_accuracy.png\", dpi=300)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"ZxBc5QWs0TzM","executionInfo":{"status":"ok","timestamp":1774377015109,"user_tz":-330,"elapsed":1412,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"8cb76e87-f326-4b24-d332-3edfccf7f879"},"execution_count":28,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["plt.figure(figsize=(8,6))\n","\n","plt.plot(history_full.history['loss'])\n","plt.plot(history_full.history['val_loss'A])\n","\n","plt.title(\"Training vs Validation Loss\")\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Loss\")\n","\n","plt.grid(True)\n","\n","plt.savefig(base_path+\"/figures/train_val_loss.png\", dpi=300)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":106},"id":"fWoopLLM0Xq6","executionInfo":{"status":"error","timestamp":1774377028827,"user_tz":-330,"elapsed":47,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"17cb869a-33f8-4b43-d806-4a19849523ec"},"execution_count":29,"outputs":[{"output_type":"error","ename":"SyntaxError","evalue":"invalid syntax. Perhaps you forgot a comma? (2632089344.py, line 4)","traceback":["\u001b[0;36m File \u001b[0;32m\"/tmp/ipykernel_3708/2632089344.py\"\u001b[0;36m, line \u001b[0;32m4\u001b[0m\n\u001b[0;31m plt.plot(history_full.history['val_loss'A])\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax. Perhaps you forgot a comma?\n"]}]},{"cell_type":"code","source":["fpr, tpr, _ = roc_curve(y_test, preds)\n","\n","plt.figure(figsize=(6,4))\n","plt.plot(fpr,tpr)\n","\n","plt.title(\"ROC Curve\")\n","plt.xlabel(\"FPR\")\n","plt.ylabel(\"TPR\")\n","\n","plt.grid(True)\n","\n","plt.savefig(base_path+\"/figures/roc_curve.png\", dpi=300)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":410},"id":"3HHbiOGt0Z5M","executionInfo":{"status":"ok","timestamp":1774377032134,"user_tz":-330,"elapsed":622,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"7eea3079-6c88-46db-8760-b34616071cf0"},"execution_count":30,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["cm = confusion_matrix(y_test,(preds>0.5).astype(int))\n","\n","plt.figure(figsize=(6,4))\n","\n","sns.heatmap(\n"," cm,\n"," annot=True,\n"," fmt=\"d\",\n"," cmap=\"Blues\",\n"," xticklabels=[0,1],\n"," yticklabels=[0,1]\n",")\n","\n","plt.xlabel(\"Predicted\")\n","plt.ylabel(\"Actual\")\n","\n","plt.savefig(base_path+\"/figures/confusion_matrix.png\", dpi=300)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":388},"id":"JzYItbpU0cFH","executionInfo":{"status":"ok","timestamp":1774377033998,"user_tz":-330,"elapsed":678,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"330e4c06-4b7f-4045-fff9-fb7c6b1bc384"},"execution_count":31,"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["precision, recall, _ = precision_recall_curve(y_test, preds)\n","\n","plt.figure(figsize=(6,4))\n","\n","plt.plot(recall,precision)\n","\n","plt.xlabel(\"Recall\")\n","plt.ylabel(\"Precision\")\n","\n","plt.grid(True)\n","\n","plt.savefig(base_path+\"/figures/pr_curve.png\", dpi=300)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":388},"id":"t1QmmflP0fQf","executionInfo":{"status":"ok","timestamp":1774377036044,"user_tz":-330,"elapsed":539,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}},"outputId":"95534cc9-7d2b-4e2b-f4eb-5f5f04e584a8"},"execution_count":32,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"6oqzMCz90h3B","executionInfo":{"status":"ok","timestamp":1774377038105,"user_tz":-330,"elapsed":3,"user":{"displayName":"Pankaj Biswas","userId":"00253439092340892549"}}},"execution_count":32,"outputs":[]}]} \ No newline at end of file diff --git a/phase6/tables/english_hindi_hinglish.csv b/phase6/tables/english_hindi_hinglish.csv new file mode 100644 index 0000000000000000000000000000000000000000..f199d090247d83ee62870105c574a32438e50b93 --- /dev/null +++ b/phase6/tables/english_hindi_hinglish.csv @@ -0,0 +1,4 @@ +0,1,2,3,4,5,6 +0.6287844554902847,0.6295325813919125,0.5930599369085173,0.6400778210116731,0.6189873417721519,0.615672514619883,0.6708805862023675 +0.6605286940804338,0.6541475808172847,0.6566657231814322,0.5642023346303502,0.7440928270042194,0.6069326357096141,0.7253992123495707 +0.5710573881608676,0.5739541775435486,0.5332208394853406,0.6147859922178989,0.5331223628691983,0.5711058398283068,0.6064184377513996 diff --git a/phase6/tables/english_hinglish_hindi.csv b/phase6/tables/english_hinglish_hindi.csv new file mode 100644 index 0000000000000000000000000000000000000000..0a086ff30749cce44d2136964e7dc958980dd2c8 --- /dev/null +++ b/phase6/tables/english_hinglish_hindi.csv @@ -0,0 +1,4 @@ +0,1,2,3,4,5,6 +0.6288974243108902,0.6257555328440789,0.604551201011378,0.5814688715953308,0.6700421940928271,0.5927854220899963,0.6781903382505048 +0.6196339810212381,0.6158330460194716,0.5960299046145914,0.5622568093385214,0.669409282700422,0.5786509823551496,0.6767934028632878 +0.623136014460009,0.6032185309231805,0.7068230277185501,0.3224708171206226,0.8839662447257384,0.44288577154308617,0.6788431307360161 diff --git a/phase6/tables/final_results.csv b/phase6/tables/final_results.csv new file mode 100644 index 0000000000000000000000000000000000000000..cb22b70416f8e130e2eca73bfb30239454a7f570 --- /dev/null +++ b/phase6/tables/final_results.csv @@ -0,0 +1,5 @@ +Strategy,Accuracy,Balanced Acc,Precision,Recall,Specificity,F1-Score,AUC +ENGLISH,0.7553355335533554,0.7545289616504276,0.7958333333333333,0.6797153024911032,0.8293426208061413,0.7332053742802304,0.852706686890064 +HINDI,0.5506896551724138,0.5,0.0,0.0,0.9999999999937383,0.0,0.5309612565002204 +HINGLISH,0.6631130063965884,0.6514013729282816,0.5751295336787565,0.5935828877005348,0.7092198581476451,0.5842105263157895,0.702195083922243 +FULL,0.6800723000451875,0.6722676451755898,0.6913875598086124,0.5622568093385214,0.7822784810110078,0.6201716738197425,0.7540646445927532 diff --git a/phase6/tables/hindi_english_hinglish.csv b/phase6/tables/hindi_english_hinglish.csv new file mode 100644 index 0000000000000000000000000000000000000000..ab060aa2809fb252e3fc67c472804c28aee22709 --- /dev/null +++ b/phase6/tables/hindi_english_hinglish.csv @@ -0,0 +1,4 @@ +0,1,2,3,4,5,6 +0.5267736104835066,0.5333450311119867,0.4926315789473684,0.6259727626459144,0.44071729957805905,0.5513548248902217,0.5208469807417623 +0.6360144600090375,0.6389256924264066,0.5946405784772437,0.6799610894941635,0.5978902953586498,0.6344452008168823,0.6880628273325781 +0.6471983732489833,0.6381399916268531,0.6540978497974447,0.5104571984435797,0.7658227848101266,0.5734189318399125,0.707534344267678 diff --git a/phase6/tables/hindi_hinglish_english.csv b/phase6/tables/hindi_hinglish_english.csv new file mode 100644 index 0000000000000000000000000000000000000000..c283b6090bffdb09dcb8cf1419c403210d7ca22f --- /dev/null +++ b/phase6/tables/hindi_hinglish_english.csv @@ -0,0 +1,4 @@ +0,1,2,3,4,5,6 +0.5237234523271577,0.5327201234628709,0.4905933429811867,0.6595330739299611,0.4059071729957806,0.562655601659751,0.5167426252688437 +0.543154089471306,0.5246363427408101,0.5161904761904762,0.26361867704280156,0.7856540084388186,0.34900193174500965,0.539623762498153 +0.6565747853592409,0.6549825354216947,0.6297820823244552,0.6325389105058365,0.6774261603375528,0.631157486047076,0.715232765272784 diff --git a/phase6/tables/hinglish_english_hindi.csv b/phase6/tables/hinglish_english_hindi.csv new file mode 100644 index 0000000000000000000000000000000000000000..44f5e837c301932ad0badf81f0f33c6583e53ddd --- /dev/null +++ b/phase6/tables/hinglish_english_hindi.csv @@ -0,0 +1,4 @@ +0,1,2,3,4,5,6 +0.516945323090827,0.5096365069201596,0.4766248574686431,0.4066147859922179,0.6126582278481013,0.4388451443569554,0.516355931594674 +0.6416629010393131,0.6440066328457207,0.6015557476231633,0.6770428015564203,0.6109704641350211,0.637070938215103,0.6696746119210626 +0.6147763217352011,0.6029521499285819,0.6216216216216216,0.436284046692607,0.769620253164557,0.5127179194055445,0.6823618789916104 diff --git a/phase6/tables/hinglish_hindi_english.csv b/phase6/tables/hinglish_hindi_english.csv new file mode 100644 index 0000000000000000000000000000000000000000..91659709914fbb10e8a20c2ad511ed5f364c855d --- /dev/null +++ b/phase6/tables/hinglish_hindi_english.csv @@ -0,0 +1,4 @@ +0,1,2,3,4,5,6 +0.5184139177586986,0.512779925790934,0.4796769851951548,0.43336575875486383,0.5921940928270042,0.4553468761977769,0.5150277719630925 +0.5116357885223678,0.4950609721059285,0.45531554426090637,0.2614299610894942,0.7286919831223628,0.3321489263092847,0.5060187123413618 +0.6406461816538636,0.6379342543794841,0.6163459135216196,0.5997081712062257,0.6761603375527426,0.6079132256871688,0.6980651207128667 diff --git a/tables/best_hyperparameters.csv b/tables/best_hyperparameters.csv new file mode 100644 index 0000000000000000000000000000000000000000..034add839437b8cab7407e3388917230be31b678 --- /dev/null +++ b/tables/best_hyperparameters.csv @@ -0,0 +1,7 @@ +model,architecture,embedding,max_seq_len,embedding_dim,hidden_dim,dropout,optimizer,learning_rate,weight_decay,epochs,batch_size +GloVe+BiLSTM,BiLSTM,pretrained GloVe,128,300,256,0.5,Adam,0.001,0,10,32 +Word2Vec+BiLSTM,BiLSTM,pretrained Word2Vec,128,300,256,0.5,Adam,0.001,0,10,32 +FastText+BiLSTM,BiLSTM,pretrained FastText (subword),128,300,256,0.5,Adam,0.001,0,10,32 +Word2Vec+LSTM,LSTM (many-to-one),Word2Vec,100,100,128,0.2,Adam,0.01,0,30,16 +GloVe+LSTM,LSTM (many-to-one),GloVe,100,100,128,0.2,Adam,0.01,0,30,16 +FastText+LSTM,LSTM (many-to-one),FastText,100,100,128,0.2,Adam,0.01,0,30,16 diff --git a/tables/dataset_splits.csv b/tables/dataset_splits.csv new file mode 100644 index 0000000000000000000000000000000000000000..8cf95d658ffa260e3fd2178e7020316183319ba0 --- /dev/null +++ b/tables/dataset_splits.csv @@ -0,0 +1,5 @@ +category,combined,english,hindi,hinglish +total_samples,29506,14994,9738,4774 +non_hate_0,15799,7495,5393,2911 +hate_1,13707,7499,4345,1863 +split_strategy,stratified 70/30 then train pool 60/10 (train/val/test),,, diff --git a/tables/dataset_summary.csv b/tables/dataset_summary.csv new file mode 100644 index 0000000000000000000000000000000000000000..8a9eac240699c9969d5ae7bfc788b80d13c171c8 --- /dev/null +++ b/tables/dataset_summary.csv @@ -0,0 +1,23 @@ +attribute,value +dataset_name,combined_hate_speech_dataset (PRISM) - Kaggle +total_samples_raw,29550 +total_samples_clean,29506 +classification_type,Binary (0 = Non-hate / 1 = Hate) +languages_covered,English / Hindi (Devanagari) / Hinglish +composition_english,15000 +composition_hindi,9767 +composition_hinglish,4783 +label_non_hate,15825 +label_hate,13725 +class_balance_non_hate_pct,53.5 +class_balance_hate_pct,46.5 +duplicate_texts_removed,11 +texts_with_urls_removed,458 +texts_with_elongated_words_normalized,2176 +text_length_mean_chars,150.52 +text_length_median_chars,94 +text_length_max_chars,1926 +word_count_mean,28.38 +word_count_median,18 +word_count_max,300 +missing_data,none after cleaning diff --git a/tables/literature_comparison.csv b/tables/literature_comparison.csv new file mode 100644 index 0000000000000000000000000000000000000000..041a3e128b5c0f4005a47ac947f1a4f0d779bee6 --- /dev/null +++ b/tables/literature_comparison.csv @@ -0,0 +1,6 @@ +study,author,year,venue,approach,key_finding,gap_addressed_by_this_work +Sentiment Analysis of Code-Mixed Social Media Text (Hinglish),Gaurav Singh,2021,arXiv,early Hinglish sentiment baselines,accuracy hurt by transliteration inconsistency and token errors,this work uses dedicated preprocessing + multiple embedding/hybrid models for code-mixed Hinglish +Current State of Hinglish,Varsha Thakur et al.,2020,SSRN,survey of traditional models,limited contextual depth and poor scalability,this work systematically benchmarks hybrid deep learning across language strategies +Improving Sentiment Analysis,Neha Agarwal et al.,2024,Educational Admin: Theory and Practice,hybrid deep learning,hybrid DL improved accuracy over classical ML,confirms and extends with GloVe/Word2Vec/FastText + BiLSTM and multistage training +A self-Attention hybrid model for code-mixed language,Gadde Satya Sai et al.,2022,Social Network Analysis and Mining,contextual embeddings,contextual embeddings outperform CNN/RNN,this work isolates embedding choice within a BiLSTM hybrid for hate-speech +This work (Biswas contribution),Pankaj Biswas,2026,B.Tech Project (RSET),GloVe/Word2Vec/FastText + BiLSTM and many-to-one LSTM with multistage language training,GloVe+BiLSTM multistage combined reached F1 0.8041 / AUC 0.9139 on PRISM,n/a (this is the contribution) diff --git a/tables/model_comparison.csv b/tables/model_comparison.csv new file mode 100644 index 0000000000000000000000000000000000000000..98e0dadc73a4c96aed354d4a55f3f14177dd4975 --- /dev/null +++ b/tables/model_comparison.csv @@ -0,0 +1,27 @@ +model,training_regime,strategy,accuracy,balanced_accuracy,precision,recall,specificity,f1,auc_roc,source_table,note +Word2Vec+LSTM,regular,combined,0.6675,0.6573,0.6914,0.5133,0.8012,0.5892,0.7294,Table 4.1, +GloVe+LSTM,regular,combined,0.6779,0.6627,0.7591,0.4491,0.8763,0.5644,0.7532,Table 4.1, +FastText+LSTM,regular,combined,0.6610,0.6496,0.6906,0.4895,0.8097,0.5729,0.7208,Table 4.1, +GloVe+BiLSTM,langwise_regular,english,0.776238,0.776579,0.756138,0.808274,0.744885,0.781337,0.854612,Table 4.2, +Word2Vec+BiLSTM,langwise_regular,english,0.719049,0.719050,0.722072,0.712444,0.725656,0.717226,0.797342,Table 4.2, +FastText+BiLSTM,langwise_regular,english,0.752355,0.750867,0.740920,0.798956,0.702778,0.768844,0.825146,Table 4.2, +GloVe+BiLSTM,langwise_regular,hindi,0.550690,0.500000,0.000000,0.000000,1.000000,0.000000,0.486025,Table 4.3,DEGENERATE - predicts all non-hate; see NOTES.md +Word2Vec+BiLSTM,langwise_regular,hindi,0.600274,0.579456,0.578161,0.385736,0.773177,0.462741,0.604954,Table 4.3, +FastText+BiLSTM,langwise_regular,hindi,0.645194,0.622978,0.612500,0.467780,0.778175,0.530447,0.673262,Table 4.3, +GloVe+BiLSTM,langwise_regular,hinglish,0.697939,0.638326,0.772000,0.344029,0.932624,0.475956,0.705756,Table 4.4, +Word2Vec+BiLSTM,langwise_regular,hinglish,0.706211,0.662119,0.682540,0.461538,0.862700,0.550694,0.740799,Table 4.4, +FastText+BiLSTM,langwise_regular,hinglish,0.691358,0.619592,0.710843,0.318919,0.920266,0.440299,0.688354,Table 4.4, +GloVe+BiLSTM,langwise_regular,combined,0.683009,0.677217,0.681793,0.595574,0.758861,0.635774,0.763671,Table 4.5, +Word2Vec+BiLSTM,langwise_regular,combined,0.670357,0.662825,0.676418,0.556663,0.768987,0.610726,0.736175,Table 4.5, +FastText+BiLSTM,langwise_regular,combined,0.676610,0.665650,0.710953,0.511679,0.819620,0.595076,0.754570,Table 4.5, +GloVe+BiLSTM,multistage,english,0.6106,0.6258,0.5532,0.8407,0.4110,0.6673,0.6250,Table 4.6, +Word2Vec+BiLSTM,multistage,english,0.587438,0.588573,0.550975,0.604570,0.572574,0.576531,0.636518,Table 4.6, +GloVe+BiLSTM,multistage,hindi,0.5276,0.5382,0.4939,0.6885,0.3880,0.5752,0.5192,Table 4.7, +Word2Vec+BiLSTM,multistage,hindi,0.624492,0.624139,0.591543,0.619163,0.629114,0.605038,0.673203,Table 4.7, +FastText+BiLSTM,multistage,hindi,0.585889,0.585743,0.514705,0.584725,0.586762,0.547486,0.612223,Table 4.7, +GloVe+BiLSTM,multistage,hinglish,0.5198,0.5147,0.4816,0.4431,0.5863,0.4616,0.5225,Table 4.8, +Word2Vec+BiLSTM,multistage,hinglish,0.566539,0.536258,0.720000,0.109436,0.963080,0.189994,0.577701,Table 4.8, +FastText+BiLSTM,multistage,hinglish,0.728395,0.651575,0.884057,0.329729,0.973421,0.480314,0.687276,Table 4.8, +GloVe+BiLSTM,multistage,combined,0.8204,0.8186,0.8149,0.7935,0.8437,0.8041,0.9139,Table 4.9,BEST MODEL for this submission +Word2Vec+BiLSTM,multistage,combined,0.730456,0.726676,0.726390,0.673395,0.779958,0.698889,0.809126,Table 4.9, +FastText+BiLSTM,multistage,combined,0.701762,0.700688,0.676668,0.685554,0.715822,0.681082,0.770482,Table 4.9, diff --git a/tables/multistage_six_variations_glove_bilstm.csv b/tables/multistage_six_variations_glove_bilstm.csv new file mode 100644 index 0000000000000000000000000000000000000000..862bc9f76e7b7b2a816bdb4531a15fbcd35d0077 --- /dev/null +++ b/tables/multistage_six_variations_glove_bilstm.csv @@ -0,0 +1,25 @@ +strategy,phase,accuracy,balanced_accuracy,precision,recall,specificity,f1,auc_roc +E->HG->H->F,E,0.7498,0.7503,0.7243,0.7980,0.7027,0.7594,0.8190 +E->HG->H->F,HG,0.4222,0.4862,0.3906,0.8021,0.1702,0.5254,0.4919 +E->HG->H->F,H,0.4759,0.5007,0.4498,0.7460,0.2555,0.5612,0.5025 +E->HG->H->F,F,0.6080,0.6195,0.5554,0.7821,0.4570,0.6496,0.7023 +E->H->HG->F,E,0.7391,0.7392,0.7301,0.7496,0.7288,0.7397,0.8147 +E->H->HG->F,HG,0.4890,0.5081,0.4053,0.6025,0.4137,0.4846,0.4989 +E->H->HG->F,H,0.5731,0.5428,0.5569,0.2441,0.8416,0.3394,0.5863 +E->H->HG->F,F,0.6449,0.6399,0.6305,0.5693,0.7105,0.5983,0.7163 +HG->E->H->F,E,0.7393,0.7392,0.7370,0.7353,0.7431,0.7361,0.8203 +HG->E->H->F,HG,0.5942,0.5202,0.4728,0.1551,0.8853,0.2336,0.5822 +HG->E->H->F,H,0.6079,0.5937,0.5817,0.4536,0.7339,0.5097,0.6320 +HG->E->H->F,F,0.6732,0.6661,0.6770,0.5669,0.7654,0.6171,0.7438 +HG->H->E->F,E,0.6854,0.6855,0.6754,0.7006,0.6704,0.6878,0.7586 +HG->H->E->F,HG,0.6347,0.5581,0.6516,0.1800,0.9362,0.2821,0.5664 +HG->H->E->F,H,0.6372,0.6248,0.6187,0.5019,0.7477,0.5542,0.6598 +HG->H->E->F,F,0.6615,0.6553,0.6574,0.5666,0.7439,0.6087,0.7110 +H->HG->E->F,E,0.5963,0.5965,0.5878,0.6152,0.5777,0.6012,0.6335 +H->HG->E->F,HG,0.6084,0.5362,0.5260,0.1800,0.8924,0.2683,0.5194 +H->HG->E->F,H,0.6331,0.6257,0.5995,0.5526,0.6988,0.5751,0.6660 +H->HG->E->F,F,0.6103,0.6053,0.5884,0.5360,0.6747,0.5610,0.6455 +H->E->HG->F,E,0.7193,0.7188,0.7359,0.6744,0.7632,0.7038,0.8011 +H->E->HG->F,HG,0.5572,0.4940,0.3835,0.1818,0.8061,0.2467,0.5129 +H->E->HG->F,H,0.6272,0.6165,0.6002,0.5104,0.7226,0.5516,0.6606 +H->E->HG->F,F,0.6634,0.6562,0.6648,0.5552,0.7572,0.6051,0.7297