diff --git "a/competition/11b_Llama-3_8b_p2_en_analysis.ipynb" "b/competition/11b_Llama-3_8b_p2_en_analysis.ipynb"
--- "a/competition/11b_Llama-3_8b_p2_en_analysis.ipynb"
+++ "b/competition/11b_Llama-3_8b_p2_en_analysis.ipynb"
@@ -1 +1 @@
-{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"0ea8b46b-839b-445b-8043-ccdf4e920ace","showTitle":false,"title":""},"id":"YLH80COBzi_F"},"outputs":[],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"63B5exAuzq4M"},"outputs":[],"source":["from pathlib import Path\n","\n","try:\n","    from google.colab import drive\n","    drive.mount('/content/drive')\n","    workding_dir = \"/content/drive/MyDrive/logical-reasoning/\"\n","except ModuleNotFoundError:\n","    workding_dir = str(Path.cwd().parent)"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":368,"status":"ok","timestamp":1719461634865,"user":{"displayName":"Donghao Huang","userId":"00463591218503521679"},"user_tz":-480},"id":"zFulf0bg0H-9","outputId":"debdd535-c828-40b9-efc0-8a180e5830dd"},"outputs":[{"name":"stdout","output_type":"stream","text":["workding dir: /Users/inflaton/code/engd/projects/logical-reasoning\n"]}],"source":["import os\n","import sys\n","\n","os.chdir(workding_dir)\n","sys.path.append(workding_dir)\n","print(\"workding dir:\", workding_dir)"]},{"cell_type":"code","execution_count":4,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"9f67ec60-2f24-411c-84eb-0dd664b44775","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":589,"status":"ok","timestamp":1719462011879,"user":{"displayName":"Donghao Huang","userId":"00463591218503521679"},"user_tz":-480},"id":"DIUiweYYzi_I","outputId":"e16e9247-9077-4b0c-f8ea-17059f05a1c4"},"outputs":[{"name":"stdout","output_type":"stream","text":["loading env vars from: /Users/inflaton/code/engd/projects/logical-reasoning/.env\n"]},{"data":{"text/plain":["True"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["from dotenv import find_dotenv, load_dotenv\n","\n","found_dotenv = find_dotenv(\".env\")\n","\n","if len(found_dotenv) == 0:\n","    found_dotenv = find_dotenv(\".env.example\")\n","print(f\"loading env vars from: {found_dotenv}\")\n","load_dotenv(found_dotenv, override=True)"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"W2QyVreqhOGM","outputId":"68b9590e-1ac6-4c6f-e0c4-e273ec816419"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>label</th>\n","      <th>title</th>\n","      <th>puzzle</th>\n","      <th>truth</th>\n","      <th>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf</th>\n","      <th>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf</th>\n","      <th>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Was Zhen Zhesuo suicide?</td>\n","      <td>No</td>\n","      <td>The Mystery of the Coast</td>\n","      <td>In the quiet seaside cottage of a neighbor, a ...</td>\n","      <td>Zhen Zhesao was a nature-loving painter who ca...</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Was Zhen Zhesuo sickly?</td>\n","      <td>Yes</td>\n","      <td>The Mystery of the Coast</td>\n","      <td>In the quiet seaside cottage of a neighbor, a ...</td>\n","      <td>Zhen Zhesao was a nature-loving painter who ca...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>The painting was by Zhen.</td>\n","      <td>Yes</td>\n","      <td>The Mystery of the Coast</td>\n","      <td>In the quiet seaside cottage of a neighbor, a ...</td>\n","      <td>Zhen Zhesao was a nature-loving painter who ca...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Was Zhen with a heart condition?</td>\n","      <td>Yes</td>\n","      <td>The Mystery of the Coast</td>\n","      <td>In the quiet seaside cottage of a neighbor, a ...</td>\n","      <td>Zhen Zhesao was a nature-loving painter who ca...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>The wheel was the murderer's weapon.</td>\n","      <td>No</td>\n","      <td>The Mystery of the Coast</td>\n","      <td>In the quiet seaside cottage of a neighbor, a ...</td>\n","      <td>Zhen Zhesao was a nature-loving painter who ca...</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2995</th>\n","      <td>Did the weeping person have to make a sacrific...</td>\n","      <td>Yes</td>\n","      <td>Zhen Zhuo's wails</td>\n","      <td>One night, in a quiet village, a weeping sound...</td>\n","      <td>It turned out that the old hat belonged to a l...</td>\n","      <td>Unimportant</td>\n","      <td>No</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>2996</th>\n","      <td>Was the body in the lake?</td>\n","      <td>No</td>\n","      <td>Zhen Zhuo's wails</td>\n","      <td>One night, in a quiet village, a weeping sound...</td>\n","      <td>It turned out that the old hat belonged to a l...</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>2997</th>\n","      <td>Do mourners have a special relationship with t...</td>\n","      <td>Yes</td>\n","      <td>Zhen Zhuo's wails</td>\n","      <td>One night, in a quiet village, a weeping sound...</td>\n","      <td>It turned out that the old hat belonged to a l...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>2998</th>\n","      <td>Was the owner of the hat dead?</td>\n","      <td>No</td>\n","      <td>Zhen Zhuo's wails</td>\n","      <td>One night, in a quiet village, a weeping sound...</td>\n","      <td>It turned out that the old hat belonged to a l...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>2999</th>\n","      <td>Was the dead person wounded?</td>\n","      <td>No</td>\n","      <td>Zhen Zhuo's wails</td>\n","      <td>One night, in a quiet village, a weeping sound...</td>\n","      <td>It turned out that the old hat belonged to a l...</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>3000 rows × 8 columns</p>\n","</div>"],"text/plain":["                                                   text label  \\\n","0                              Was Zhen Zhesuo suicide?    No   \n","1                               Was Zhen Zhesuo sickly?   Yes   \n","2                             The painting was by Zhen.   Yes   \n","3                      Was Zhen with a heart condition?   Yes   \n","4                  The wheel was the murderer's weapon.    No   \n","...                                                 ...   ...   \n","2995  Did the weeping person have to make a sacrific...   Yes   \n","2996                          Was the body in the lake?    No   \n","2997  Do mourners have a special relationship with t...   Yes   \n","2998                     Was the owner of the hat dead?    No   \n","2999                       Was the dead person wounded?    No   \n","\n","                         title  \\\n","0     The Mystery of the Coast   \n","1     The Mystery of the Coast   \n","2     The Mystery of the Coast   \n","3     The Mystery of the Coast   \n","4     The Mystery of the Coast   \n","...                        ...   \n","2995         Zhen Zhuo's wails   \n","2996         Zhen Zhuo's wails   \n","2997         Zhen Zhuo's wails   \n","2998         Zhen Zhuo's wails   \n","2999         Zhen Zhuo's wails   \n","\n","                                                 puzzle  \\\n","0     In the quiet seaside cottage of a neighbor, a ...   \n","1     In the quiet seaside cottage of a neighbor, a ...   \n","2     In the quiet seaside cottage of a neighbor, a ...   \n","3     In the quiet seaside cottage of a neighbor, a ...   \n","4     In the quiet seaside cottage of a neighbor, a ...   \n","...                                                 ...   \n","2995  One night, in a quiet village, a weeping sound...   \n","2996  One night, in a quiet village, a weeping sound...   \n","2997  One night, in a quiet village, a weeping sound...   \n","2998  One night, in a quiet village, a weeping sound...   \n","2999  One night, in a quiet village, a weeping sound...   \n","\n","                                                  truth  \\\n","0     Zhen Zhesao was a nature-loving painter who ca...   \n","1     Zhen Zhesao was a nature-loving painter who ca...   \n","2     Zhen Zhesao was a nature-loving painter who ca...   \n","3     Zhen Zhesao was a nature-loving painter who ca...   \n","4     Zhen Zhesao was a nature-loving painter who ca...   \n","...                                                 ...   \n","2995  It turned out that the old hat belonged to a l...   \n","2996  It turned out that the old hat belonged to a l...   \n","2997  It turned out that the old hat belonged to a l...   \n","2998  It turned out that the old hat belonged to a l...   \n","2999  It turned out that the old hat belonged to a l...   \n","\n","     meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf  \\\n","0                                                    No                     \n","1                                                   Yes                     \n","2                                                   Yes                     \n","3                                                   Yes                     \n","4                                                    No                     \n","...                                                 ...                     \n","2995                                        Unimportant                     \n","2996                                                 No                     \n","2997                                                Yes                     \n","2998                                                Yes                     \n","2999                                                 No                     \n","\n","     meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf  \\\n","0                                                    No                     \n","1                                                   Yes                     \n","2                                                   Yes                     \n","3                                                   Yes                     \n","4                                                    No                     \n","...                                                 ...                     \n","2995                                                 No                     \n","2996                                                 No                     \n","2997                                                Yes                     \n","2998                                                Yes                     \n","2999                                                 No                     \n","\n","     meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf  \n","0                                                    No                    \n","1                                                   Yes                    \n","2                                                   Yes                    \n","3                                                   Yes                    \n","4                                                    No                    \n","...                                                 ...                    \n","2995                                                 No                    \n","2996                                                 No                    \n","2997                                                Yes                    \n","2998                                                 No                    \n","2999                                                 No                    \n","\n","[3000 rows x 8 columns]"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["import pandas as pd\n","\n","df = pd.read_csv(\"results/llama3-8b_lora_sft_bf16-p2_en.csv\")\n","df"]},{"cell_type":"code","execution_count":6,"metadata":{},"outputs":[],"source":["import matplotlib.pyplot as plt\n","from matplotlib import rcParams\n","\n","def plot_value_counts(df, column):\n","    font_family = rcParams[\"font.family\"]\n","    # Set the font to SimHei to support Chinese characters\n","    rcParams[\"font.family\"] = \"STHeiti\"\n","    rcParams[\"axes.unicode_minus\"] = False  # This is to support the minus sign in Chinese.\n","\n","    plt.figure(figsize=(12, 6))\n","    df[column].value_counts().plot(kind=\"bar\")\n","    # add values on top of bars\n","    for i, v in enumerate(df[column].value_counts()):\n","        plt.text(i, v + 0.1, str(v), ha=\"center\")\n","    plt.show()\n","    \n","    rcParams[\"font.family\"] = font_family\n"]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[{"data":{"text/plain":["['text',\n"," 'label',\n"," 'title',\n"," 'puzzle',\n"," 'truth',\n"," 'meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf',\n"," 'meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf',\n"," 'meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf']"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["df.columns.to_list()"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["********** meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf **********\n","meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf\n","No                       1564\n","Yes                      1012\n","Unimportant               353\n","Incorrect questioning      50\n","Correct answer             21\n","Name: count, dtype: int64\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["********** meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf **********\n","meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf\n","No                       1210\n","Yes                       902\n","Unimportant               746\n","Incorrect questioning      88\n","Correct answer             54\n","Name: count, dtype: int64\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["********** meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf **********\n","meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf\n","No                       1589\n","Yes                       895\n","Unimportant               434\n","Incorrect questioning      45\n","Correct answer             37\n","Name: count, dtype: int64\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["for col in df.columns[5:]:\n","    print(\"*\" * 10, col, \"*\" * 10)\n","    print(df[col].value_counts())\n","    plot_value_counts(df, col)"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score\n","\n","\n","def calc_metrics_for_col(df, col):\n","    y_true = df[\"label\"]\n","    y_pred = df[col]\n","    try:\n","        accuracy = accuracy_score(y_true, y_pred)\n","        precision = precision_score(y_true, y_pred, average=\"weighted\", labels=np.unique(y_pred))\n","        recall = recall_score(y_true, y_pred, average=\"weighted\", labels=np.unique(y_pred))\n","        f1 = f1_score(y_true, y_pred, average=\"weighted\", labels=np.unique(y_pred))\n","    except Exception as e:\n","        print(e)\n","        accuracy = precision = recall = f1 = np.nan\n","\n","    return accuracy, float(precision), float(recall), float(f1)"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/var/folders/7x/56svhln929zdh2xhr3mwqg4r0000gn/T/ipykernel_84419/3667033001.py:18: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n","  perf_df = pd.concat([perf_df, pd.DataFrame([new_model_metrics])], ignore_index=True)\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>epoch</th>\n","      <th>model</th>\n","      <th>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.333333</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.620333</td>\n","      <td>0.663582</td>\n","      <td>0.620333</td>\n","      <td>0.636363</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.666667</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.561333</td>\n","      <td>0.700051</td>\n","      <td>0.561333</td>\n","      <td>0.611304</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1.000000</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.620333</td>\n","      <td>0.681920</td>\n","      <td>0.620333</td>\n","      <td>0.640515</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["      epoch                                              model  accuracy  \\\n","0  0.333333  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.620333   \n","1  0.666667  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.561333   \n","2  1.000000  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.620333   \n","\n","   precision    recall        f1  \n","0   0.663582  0.620333  0.636363  \n","1   0.700051  0.561333  0.611304  \n","2   0.681920  0.620333  0.640515  "]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["import pandas as pd\n","\n","perf_df = pd.DataFrame(\n","    columns=[\"epoch\", \"model\", \"accuracy\", \"precision\", \"recall\", \"f1\"]\n",")\n","for i, col in enumerate(df.columns[5:]):\n","    accuracy, precision, recall, f1 = calc_metrics_for_col(df, col)\n","    new_model_metrics = {\n","        \"epoch\": (i + 1) / 3,\n","        \"model\": col,\n","        \"accuracy\": accuracy,\n","        \"precision\": precision,\n","        \"recall\": recall,\n","        \"f1\": f1,\n","    }\n","\n","    # Convert the dictionary to a DataFrame and concatenate it with the existing DataFrame\n","    perf_df = pd.concat([perf_df, pd.DataFrame([new_model_metrics])], ignore_index=True)\n","\n","perf_df"]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[{"data":{"image/png":"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size 1200x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# plot metrics for each model\n","import matplotlib.pyplot as plt\n","\n","fig, ax = plt.subplots(1, 1, figsize=(12, 5))\n","\n","perf_df.plot(x=\"epoch\", y=[\"accuracy\", \"precision\", \"recall\", \"f1\"], kind=\"bar\", ax=ax)\n","\n","# add values on top of bars\n","for p in ax.patches:\n","    ax.annotate(\n","        f\"{p.get_height():.3f}\",\n","        (p.get_x() + p.get_width() / 2, p.get_height()),\n","        ha=\"center\",\n","        va=\"bottom\",\n","        fontsize=10,\n","    )\n","\n","# add title and labels\n","# ax.set_title(\"Metrics for different settings\")\n","# ax.set_ylabel(\"Value\")\n","ax.set_xlabel(\"Epoch\")\n","# rotate x labels\n","plt.xticks(rotation=0)\n","\n","# set legend at the right to avoid overlapping with bars\n","plt.legend(loc=\"center left\", bbox_to_anchor=(1.0, 0.5))\n","# plt.tight_layout()\n","\n","plt.show()"]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[],"source":["perf_df.to_csv(\"results/mgtv-llama3_p2_en_full_metrics.csv\", index=False)"]}],"metadata":{"accelerator":"GPU","application/vnd.databricks.v1+notebook":{"dashboards":[],"environmentMetadata":null,"language":"python","notebookMetadata":{"pythonIndentUnit":4},"notebookName":"07_MAC_+_Qwen2-7B-Instructi_Unsloth_train","widgets":{}},"colab":{"gpuType":"T4","provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.9"}},"nbformat":4,"nbformat_minor":0}
+{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"0ea8b46b-839b-445b-8043-ccdf4e920ace","showTitle":false,"title":""},"id":"YLH80COBzi_F"},"outputs":[],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"63B5exAuzq4M"},"outputs":[],"source":["from pathlib import Path\n","\n","try:\n","    from google.colab import drive\n","    drive.mount('/content/drive')\n","    workding_dir = \"/content/drive/MyDrive/logical-reasoning/\"\n","except ModuleNotFoundError:\n","    workding_dir = str(Path.cwd().parent)"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":368,"status":"ok","timestamp":1719461634865,"user":{"displayName":"Donghao Huang","userId":"00463591218503521679"},"user_tz":-480},"id":"zFulf0bg0H-9","outputId":"debdd535-c828-40b9-efc0-8a180e5830dd"},"outputs":[{"name":"stdout","output_type":"stream","text":["workding dir: /Users/inflaton/code/engd/projects/logical-reasoning\n"]}],"source":["import os\n","import sys\n","\n","os.chdir(workding_dir)\n","sys.path.append(workding_dir)\n","print(\"workding dir:\", workding_dir)"]},{"cell_type":"code","execution_count":4,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"9f67ec60-2f24-411c-84eb-0dd664b44775","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":589,"status":"ok","timestamp":1719462011879,"user":{"displayName":"Donghao Huang","userId":"00463591218503521679"},"user_tz":-480},"id":"DIUiweYYzi_I","outputId":"e16e9247-9077-4b0c-f8ea-17059f05a1c4"},"outputs":[{"name":"stdout","output_type":"stream","text":["loading env vars from: /Users/inflaton/code/engd/projects/logical-reasoning/.env\n"]},{"data":{"text/plain":["True"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["from dotenv import find_dotenv, load_dotenv\n","\n","found_dotenv = find_dotenv(\".env\")\n","\n","if len(found_dotenv) == 0:\n","    found_dotenv = find_dotenv(\".env.example\")\n","print(f\"loading env vars from: {found_dotenv}\")\n","load_dotenv(found_dotenv, override=True)"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"W2QyVreqhOGM","outputId":"68b9590e-1ac6-4c6f-e0c4-e273ec816419"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>label</th>\n","      <th>title</th>\n","      <th>puzzle</th>\n","      <th>truth</th>\n","      <th>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf</th>\n","      <th>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf</th>\n","      <th>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf</th>\n","      <th>meta-llama/Meta-Llama-3-8B-Instruct_torch.bfloat16_lf</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Was Zhen Zhesuo suicide?</td>\n","      <td>No</td>\n","      <td>The Mystery of the Coast</td>\n","      <td>In the quiet seaside cottage of a neighbor, a ...</td>\n","      <td>Zhen Zhesao was a nature-loving painter who ca...</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Unimportant</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Was Zhen Zhesuo sickly?</td>\n","      <td>Yes</td>\n","      <td>The Mystery of the Coast</td>\n","      <td>In the quiet seaside cottage of a neighbor, a ...</td>\n","      <td>Zhen Zhesao was a nature-loving painter who ca...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Correct answer</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>The painting was by Zhen.</td>\n","      <td>Yes</td>\n","      <td>The Mystery of the Coast</td>\n","      <td>In the quiet seaside cottage of a neighbor, a ...</td>\n","      <td>Zhen Zhesao was a nature-loving painter who ca...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Correct answer</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Was Zhen with a heart condition?</td>\n","      <td>Yes</td>\n","      <td>The Mystery of the Coast</td>\n","      <td>In the quiet seaside cottage of a neighbor, a ...</td>\n","      <td>Zhen Zhesao was a nature-loving painter who ca...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Correct answer.</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>The wheel was the murderer's weapon.</td>\n","      <td>No</td>\n","      <td>The Mystery of the Coast</td>\n","      <td>In the quiet seaside cottage of a neighbor, a ...</td>\n","      <td>Zhen Zhesao was a nature-loving painter who ca...</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>**Response:** Incorrect questioning</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2995</th>\n","      <td>Did the weeping person have to make a sacrific...</td>\n","      <td>Yes</td>\n","      <td>Zhen Zhuo's wails</td>\n","      <td>One night, in a quiet village, a weeping sound...</td>\n","      <td>It turned out that the old hat belonged to a l...</td>\n","      <td>Unimportant</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Unimportant</td>\n","    </tr>\n","    <tr>\n","      <th>2996</th>\n","      <td>Was the body in the lake?</td>\n","      <td>No</td>\n","      <td>Zhen Zhuo's wails</td>\n","      <td>One night, in a quiet village, a weeping sound...</td>\n","      <td>It turned out that the old hat belonged to a l...</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Unimportant</td>\n","    </tr>\n","    <tr>\n","      <th>2997</th>\n","      <td>Do mourners have a special relationship with t...</td>\n","      <td>Yes</td>\n","      <td>Zhen Zhuo's wails</td>\n","      <td>One night, in a quiet village, a weeping sound...</td>\n","      <td>It turned out that the old hat belonged to a l...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>**Response:** Yes</td>\n","    </tr>\n","    <tr>\n","      <th>2998</th>\n","      <td>Was the owner of the hat dead?</td>\n","      <td>No</td>\n","      <td>Zhen Zhuo's wails</td>\n","      <td>One night, in a quiet village, a weeping sound...</td>\n","      <td>It turned out that the old hat belonged to a l...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>Yes.</td>\n","    </tr>\n","    <tr>\n","      <th>2999</th>\n","      <td>Was the dead person wounded?</td>\n","      <td>No</td>\n","      <td>Zhen Zhuo's wails</td>\n","      <td>One night, in a quiet village, a weeping sound...</td>\n","      <td>It turned out that the old hat belonged to a l...</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>**Response:** No</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>3000 rows × 9 columns</p>\n","</div>"],"text/plain":["                                                   text label  \\\n","0                              Was Zhen Zhesuo suicide?    No   \n","1                               Was Zhen Zhesuo sickly?   Yes   \n","2                             The painting was by Zhen.   Yes   \n","3                      Was Zhen with a heart condition?   Yes   \n","4                  The wheel was the murderer's weapon.    No   \n","...                                                 ...   ...   \n","2995  Did the weeping person have to make a sacrific...   Yes   \n","2996                          Was the body in the lake?    No   \n","2997  Do mourners have a special relationship with t...   Yes   \n","2998                     Was the owner of the hat dead?    No   \n","2999                       Was the dead person wounded?    No   \n","\n","                         title  \\\n","0     The Mystery of the Coast   \n","1     The Mystery of the Coast   \n","2     The Mystery of the Coast   \n","3     The Mystery of the Coast   \n","4     The Mystery of the Coast   \n","...                        ...   \n","2995         Zhen Zhuo's wails   \n","2996         Zhen Zhuo's wails   \n","2997         Zhen Zhuo's wails   \n","2998         Zhen Zhuo's wails   \n","2999         Zhen Zhuo's wails   \n","\n","                                                 puzzle  \\\n","0     In the quiet seaside cottage of a neighbor, a ...   \n","1     In the quiet seaside cottage of a neighbor, a ...   \n","2     In the quiet seaside cottage of a neighbor, a ...   \n","3     In the quiet seaside cottage of a neighbor, a ...   \n","4     In the quiet seaside cottage of a neighbor, a ...   \n","...                                                 ...   \n","2995  One night, in a quiet village, a weeping sound...   \n","2996  One night, in a quiet village, a weeping sound...   \n","2997  One night, in a quiet village, a weeping sound...   \n","2998  One night, in a quiet village, a weeping sound...   \n","2999  One night, in a quiet village, a weeping sound...   \n","\n","                                                  truth  \\\n","0     Zhen Zhesao was a nature-loving painter who ca...   \n","1     Zhen Zhesao was a nature-loving painter who ca...   \n","2     Zhen Zhesao was a nature-loving painter who ca...   \n","3     Zhen Zhesao was a nature-loving painter who ca...   \n","4     Zhen Zhesao was a nature-loving painter who ca...   \n","...                                                 ...   \n","2995  It turned out that the old hat belonged to a l...   \n","2996  It turned out that the old hat belonged to a l...   \n","2997  It turned out that the old hat belonged to a l...   \n","2998  It turned out that the old hat belonged to a l...   \n","2999  It turned out that the old hat belonged to a l...   \n","\n","     meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf  \\\n","0                                                    No                     \n","1                                                   Yes                     \n","2                                                   Yes                     \n","3                                                   Yes                     \n","4                                                    No                     \n","...                                                 ...                     \n","2995                                        Unimportant                     \n","2996                                                 No                     \n","2997                                                Yes                     \n","2998                                                Yes                     \n","2999                                                 No                     \n","\n","     meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf  \\\n","0                                                    No                     \n","1                                                   Yes                     \n","2                                                   Yes                     \n","3                                                   Yes                     \n","4                                                    No                     \n","...                                                 ...                     \n","2995                                                 No                     \n","2996                                                 No                     \n","2997                                                Yes                     \n","2998                                                Yes                     \n","2999                                                 No                     \n","\n","     meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf  \\\n","0                                                    No                     \n","1                                                   Yes                     \n","2                                                   Yes                     \n","3                                                   Yes                     \n","4                                                    No                     \n","...                                                 ...                     \n","2995                                                 No                     \n","2996                                                 No                     \n","2997                                                Yes                     \n","2998                                                 No                     \n","2999                                                 No                     \n","\n","     meta-llama/Meta-Llama-3-8B-Instruct_torch.bfloat16_lf  \n","0                                           Unimportant     \n","1                                        Correct answer     \n","2                                        Correct answer     \n","3                                       Correct answer.     \n","4                   **Response:** Incorrect questioning     \n","...                                                 ...     \n","2995                                        Unimportant     \n","2996                                        Unimportant     \n","2997                                  **Response:** Yes     \n","2998                                               Yes.     \n","2999                                   **Response:** No     \n","\n","[3000 rows x 9 columns]"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["import pandas as pd\n","\n","df = pd.read_csv(\"results/llama3-8b_lora_sft_bf16-p2_en.csv\")\n","df"]},{"cell_type":"code","execution_count":6,"metadata":{},"outputs":[],"source":["import matplotlib.pyplot as plt\n","from matplotlib import rcParams\n","\n","def plot_value_counts(df, column):\n","    font_family = rcParams[\"font.family\"]\n","    # Set the font to SimHei to support Chinese characters\n","    rcParams[\"font.family\"] = \"STHeiti\"\n","    rcParams[\"axes.unicode_minus\"] = False  # This is to support the minus sign in Chinese.\n","\n","    plt.figure(figsize=(12, 6))\n","    df[column].value_counts().plot(kind=\"bar\")\n","    # add values on top of bars\n","    for i, v in enumerate(df[column].value_counts()):\n","        plt.text(i, v + 0.1, str(v), ha=\"center\")\n","    plt.show()\n","    \n","    rcParams[\"font.family\"] = font_family\n"]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[{"data":{"text/plain":["['text',\n"," 'label',\n"," 'title',\n"," 'puzzle',\n"," 'truth',\n"," 'meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf',\n"," 'meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf',\n"," 'meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf',\n"," 'meta-llama/Meta-Llama-3-8B-Instruct_torch.bfloat16_lf']"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["df.columns.to_list()"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[],"source":["df = df[\n","    [\n","        \"text\",\n","        \"label\",\n","        \"title\",\n","        \"puzzle\",\n","        \"truth\",\n","        \"meta-llama/Meta-Llama-3-8B-Instruct_torch.bfloat16_lf\",\n","        \"meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf\",\n","        \"meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf\",\n","        \"meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf\",\n","    ]\n","]"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["********** meta-llama/Meta-Llama-3-8B-Instruct_torch.bfloat16_lf **********\n","meta-llama/Meta-Llama-3-8B-Instruct_torch.bfloat16_lf\n","Unimportant                                                                                  928\n","**Response:** Unimportant                                                                    565\n","Correct answer                                                                               323\n","**Response:** Yes                                                                            256\n","**Response:** Correct answer                                                                 170\n","**Response:** No                                                                             144\n","Unimportant.                                                                                 143\n","Yes.                                                                                         110\n","Correct answer.                                                                               98\n","**Response:** Incorrect questioning                                                           61\n","Incorrect questioning.                                                                        55\n","Yes                                                                                           35\n","Incorrect questioning                                                                         30\n","No                                                                                            28\n","No.                                                                                           20\n","**Unimportant**                                                                                9\n","**Correct answer**                                                                             5\n","**Host's response:** Correct answer                                                            3\n","**Host's response:** Unimportant                                                               2\n","I can respond to the participant's question.\\n\\n**Response:** Unimportant                      2\n","**Response:** Incorrect questioning\\n\\n(Note: The question is not a closed-ended question      2\n","**Host's response:** Incorrect questioning                                                     1\n","I can respond to the participant's question.\\n\\n**Response:** Yes                              1\n","**Response:** Incorrect questioning\\n\\n(Note: The question \"Teacher\" is not a                  1\n","I'm happy to play the game with you!\\n\\nFor the question \"The Dead                             1\n","I'm happy to play the game with you!\\n\\nFor the participant's question \"                       1\n","I'm happy to help! However, I need to clarify that the participant's                           1\n","I cannot provide an answer to the participant's question because it is not a closed            1\n","I'll respond according to the rules.\\n\\n**Response:** Unimportant                              1\n","I'll respond to the participant's question according to the rules.\\n\\n**Response:**            1\n","I'm happy to help! However, I must point out that the participant's                            1\n","**Incorrect questioning**                                                                      1\n","Name: count, dtype: int64\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["********** meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf **********\n","meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf\n","No                       1564\n","Yes                      1012\n","Unimportant               353\n","Incorrect questioning      50\n","Correct answer             21\n","Name: count, dtype: int64\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["********** meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf **********\n","meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf\n","No                       1210\n","Yes                       902\n","Unimportant               746\n","Incorrect questioning      88\n","Correct answer             54\n","Name: count, dtype: int64\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["********** meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf **********\n","meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf\n","No                       1589\n","Yes                       895\n","Unimportant               434\n","Incorrect questioning      45\n","Correct answer             37\n","Name: count, dtype: int64\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["for col in df.columns[5:]:\n","    print(\"*\" * 10, col, \"*\" * 10)\n","    print(df[col].value_counts())\n","    plot_value_counts(df, col)"]},{"cell_type":"code","execution_count":16,"metadata":{},"outputs":[],"source":["import re\n","\n","\n","def clean_up(df, model_name):\n","    df[model_name] = df[model_name].apply(\n","        lambda x: (\n","            re.sub(r\".*Response.*:\", \"\", x)\n","            .split(\"\\n\")[-1]\n","            .replace(\".\", \"\")\n","            .strip()\n","            if isinstance(x, str)\n","            else x\n","        )\n","    )\n","    return df"]},{"cell_type":"code","execution_count":17,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["********** meta-llama/Meta-Llama-3-8B-Instruct_torch.bfloat16_lf **********\n","24\n","meta-llama/Meta-Llama-3-8B-Instruct_torch.bfloat16_lf\n","Unimportant                                                                            1071\n","** Unimportant                                                                          568\n","Correct answer                                                                          421\n","** Yes                                                                                  257\n","** Correct answer                                                                       170\n","Yes                                                                                     145\n","** No                                                                                   144\n","Incorrect questioning                                                                    85\n","** Incorrect questioning                                                                 61\n","No                                                                                       48\n","**Unimportant**                                                                           9\n","**Correct answer**                                                                        5\n","**Host's response:** Correct answer                                                       3\n","(Note: The question is not a closed-ended question                                        2\n","**Host's response:** Unimportant                                                          2\n","(Note: The question \"Teacher\" is not a                                                    1\n","For the question \"The Dead                                                                1\n","**Host's response:** Incorrect questioning                                                1\n","For the participant's question \"                                                          1\n","I'm happy to help! However, I need to clarify that the participant's                      1\n","I cannot provide an answer to the participant's question because it is not a closed       1\n","**                                                                                        1\n","I'm happy to help! However, I must point out that the participant's                       1\n","**Incorrect questioning**                                                                 1\n","Name: count, dtype: int64\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["********** meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf **********\n","5\n","meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-117_torch.bfloat16_lf\n","No                       1564\n","Yes                      1012\n","Unimportant               353\n","Incorrect questioning      50\n","Correct answer             21\n","Name: count, dtype: int64\n"]},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA94AAAKOCAYAAABQlMFoAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAABy30lEQVR4nO3de3zO9eP/8edmdmSbw5xmZDmflUPOFFFobCKlnHMuJIcUyjGHfCoklVNITlESFZJTqOUciZmROWxs2Hl7//7o5/q6bM7Xe2+2x/12u243e73e17Xnde29y57X++RkGIYhAAAAAABgCmerAwAAAAAAkJVRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABO5WB3AUdLS0vTvv/8qd+7ccnJysjoOAAAAACCLMwxDly9fVpEiReTsfPPt2lmmeP/7778KCAiwOgYAAAAAIJuJiIhQ0aJFbzqfZYp37ty5Jf33hL29vS1OAwAAAADI6mJjYxUQEGDrozeTZYr3td3Lvb29Kd4AAAAAgExzu8OdObkaAAAAAAAmongDAAAAAGAiijcAAAAAACYyrXgvXrxYR48eNevhAQAAAAB4KNxT8W7cuLGcnZ01ZcqUDOdPnz6tgQMHKmfOnHbj7733ngoWLChvb2917dpVV65csc3FxsbqpZdeUq5cuVSkSBG9//779xINAAAAAIAHyj0V702bNmnkyJE3nR84cKAGDhyoRx55xDY2a9YsrVq1Sr/99ptOnTolJycn9ejRwzb/6quvKmfOnDp9+rR27Nih5cuX69NPP72XeAAAAAAAPDAcfjmxDRs26NChQ1q0aJHd+LRp07R48WKVKFFC0n9F/NFHH9WxY8fk7u6uTZs2KTw8XO7u7vLx8dGCBQv0zDPPqGfPno6OCAAAAABApnHoMd7Jycl67bXX9Mknn9jtZn7u3DldvXpVjz/+uG0sZ86ceu6557Rx40Zt27ZNTZs2lbu7u22+XLlyypUrF8eJP2SmTp2qq1evWh0DAAAAAB4YDi3eH374oY4dO6bnn39epUqV0o8//ihJOnnypEqWLJlu+TJlyuj48eO3nc9IYmKiYmNj7W64P7c6dt/f318uLi6226RJk9Its2rVKi1YsEBubm43/R6TJ0/WhQsXHJobAAAAAB5kDiveV69e1cSJEzVjxgwdO3ZMkydP1ksvvaQzZ84oPj5enp6e6e7j4eGh+Pj4285nZMKECfLx8bHdAgICHPVUsq2bHbt/6dIlubm5KSUlxXYbMmSI3TLx8fEaNGiQZs2aJReXjI9g2Ldvn9555x1TsgMAAADAg8phxfvHH3/Uk08+qW7dusnLy0utW7dWp06d9OWXX8rDw0MJCQnp7hMVFSVPT8/bzmdk+PDhiomJsd0iIiIc9VRwg4MHD6pMmTK3XGb8+PFq0qSJateuneF8UlKSXn75ZaWkpJgREQAAAAAeWA47udo///yjihUr2o1VrlxZO3fuVLFixRQWFpbuPmFhYapevbq8vb31ww8/ZDgfGBiY4fdzc3O75S7NcJxDhw7dsnj/888/mj9/vvbu3XvTZUaMGKFKlSopJibGjIgAAAAA8MBy2BbvokWL6sCBA3Zj+/fvV4kSJVSgQAG5urrqyJEjtrmUlBStXr1aTz31lOrWrasNGzbYbQ09cOCAEhMTMzz2G5nr4MGDWrJkifLmzauqVatq/fr1dvMDBgzQ1atXFRgYqPr166c7Lv/XX3/V8uXLNWPGjMyMDQAAAAAPBIcV7+eee047d+7UF198obi4OH377bdavHixOnXqJOm/a3t3795dp06d0uXLl9W/f381adJEJUqUkL+/v+rUqaOBAwfqypUrioiIUI8ePfT22287Kh7uQ4sWLbR9+3ZFRkZq6tSp6tq1qw4dOiRJ2r59u3bv3q1Vq1YpIiJCTZo0Ubt27WQYhiQpNjZWnTt31ty5c+Xj42Pl0wAAAAAASziseHt5eWn9+vVasGCBChUqpIkTJ2rNmjXy8/OTJPXq1UtNmzbVY489Jn9/fyUlJWnWrFm2+3/66aeKjo5WoUKFVLNmTQUHB6tbt26Oiof70LRpUwUGBsrV1VVPPfWUhg4dqi+++EKS9PXXX2vUqFGqX7++cuXKpVGjRkmSdu/eLUl67bXXFBISokaNGlkVHwAAAAAsdc/HeI8ePTrdWNmyZbV58+ab3mfkyJEZnjVbknx8fLRo0aJ7jYNMFBgYqG3btkn67/jukJAQu/nKlSsrPDxcZ86c0aJFi5QjRw59/PHHkv67DFzRokW1bNkytWrVKtOzAwAAAEBmc+h1vJH1jBkzRt9++63d2NatW1W6dGlJGR/bf+DAAZUoUUJBQUFKTk5WQkKC7Va8eHGdOnWK0g0AAAAg23DYWc2RNT322GPq37+/ihUrptKlS2vp0qX64osvbGcw79Wrl1q0aKFKlSqpWrVqmjZtmtzc3PT4449bnBwAAAAAHgwUb9xSixYt9O+//yokJESnT59WtWrVtHr1ahUpUkSSVK1aNc2aNUs9e/bUmTNn1LRpU61cuVJOTk4WJwcAAACAB4OTce300w+52NhY+fj4KCYmRt7e3lbHuSuPDPve6gjZzomJLayOAAAAAOAhd6c9lGO8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABPdU/Fu3LixnJ2dNWXKlJsuk5ycrHfeecdubPbs2SpWrJi8vLzUpk0bnT171m751157TXny5FG+fPn05ptvKiUl5V7iAQAAAADwwLin4r1p0yaNHDnylsuMHDlSf/75p+3rdevWafz48VqzZo0uXLigihUrqk2bNrb5d955R3///bcOHz6sw4cP69ChQ+mKOwAAAAAADxtTdjXftm2bPvjgA7uxadOmaerUqapcubI8PDw0ZswYpaWlaePGjUpKStJnn32mefPmqWDBgvLz89OCBQv0+eef6+rVq2ZEBAAAAAAgUzi8eF+5ckWdOnXS4MGDbWOGYWjnzp1q0aKF3bJt27bVhg0btGfPHpUrV06FChWyzeXLl0+1atXS9u3bHR0RAAAAAIBM4/Di/frrr6tFixZq2rSpbSwqKkq+vr5yd3e3W7ZMmTI6fvy4Tp48qZIlS6Z7rGvzAAAAAAA8rFwc+WCrV6/Wb7/9pj/++EO//fabbTw+Pl6enp7plvfw8FB8fPxt5zOSmJioxMRE29exsbEOeAYAAAAAADiWw7Z4nzt3Tn379tXChQvTbdn28PBQQkJCuvtERUXJ09PztvMZmTBhgnx8fGy3gIAAxzwRAAAAAAAcyGFbvHv37q2zZ8+qdu3akqS0tDSlpqaqUKFCOnPmjC5duqTk5GTlzJnTdp+wsDAFBgaqWLFiCgsLS/eYYWFhCgkJyfD7DR8+XIMGDbJ9HRsbS/kGAAAAADxwHLbFe8WKFUpOTlZCQoISEhL0448/6plnnlFkZKScnJxUvXp1bdy40e4+y5cvV5MmTVS1alUdOnRIFy9etM1FR0dr586dqlOnTobfz83NTd7e3nY3AAAAAAAeNKZcTiwjgwYN0oABA3T48GElJCRozJgx8vDwUKNGjeTq6qouXbqoR48eioqK0oULF9S1a1f169fvpruaAwAAAADwMMi04t28eXMNGDBATZs2Vd68eRUaGqoVK1bY5t977z0VLlxYjz76qEqXLq1SpUpp9OjRmRUPAAAAAABTOBmGYVgdwhFiY2Pl4+OjmJiYh26380eGfW91hGznxMQWt18IAAAAAG7hTntopm3xBgAAAAAgO6J4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgonsq3o0bN5azs7OmTJliN75161bVqlVL3t7eeuKJJ/Tbb7/Zzb/33nsqWLCgvL291bVrV125csU2Fxsbq5deekm5cuVSkSJF9P77799LNAAAAAAAHij3VLw3bdqkkSNH2o0dPXpU7dq107hx43T27FkNGTJErVu31qlTpyRJs2bN0qpVq/Tbb7/p1KlTcnJyUo8ePWz3f/XVV5UzZ06dPn1aO3bs0PLly/Xpp5/ex1MDAAAAAMB6Lo56oOnTp2vQoEFq0qSJJCk4OFg7d+7U0qVLNWjQIE2bNk2LFy9WiRIlJP1XxB999FEdO3ZM7u7u2rRpk8LDw+Xu7i4fHx8tWLBAzzzzjHr27OmoiAAAAAAAZDqHFe8SJUqoRYsWdmMBAQGKiIjQuXPndPXqVT3++OO2uZw5c+q5557Txo0b5ePjo6ZNm8rd3d02X65cOeXKlUtHjx5VqVKlHBUTAAAAAIBM5bCTqw0YMCBdQV6zZo2qV6+ukydPqmTJkunuU6ZMGR0/fvy28wAAAAAAPKxMO6v5vHnzFBkZqTZt2ig+Pl6enp7plvHw8FB8fPxt5zOSmJio2NhYuxsAAAAAAA8aU4r37t27NXToUH311VdycXGRh4eHEhIS0i0XFRUlT0/P285nZMKECfLx8bHdAgICHP48AAAAAAC4Xw4v3idPnlSbNm30xRdfqFy5cpKkYsWKKSwsLN2yYWFhCgwMvO18RoYPH66YmBjbLSIiwrFPBAAAAAAAB3Bo8b58+bJatmypN998Uy1btrSNFyhQQK6urjpy5IhtLCUlRatXr9ZTTz2lunXrasOGDUpJSbHNHzhwQImJiRke+y1Jbm5u8vb2trsBAAAAAPCgcVjxTk1NVbt27dSgQQO9/vrr6eYHDhyo7t2769SpU7p8+bL69++vJk2aqESJEvL391edOnU0cOBAXblyRREREerRo4fefvttR8UDAAAAAMASDive/fv317p16zRr1iy5uLjYbk899ZQkqVevXmratKkee+wx+fv7KykpSbNmzbLd/9NPP1V0dLQKFSqkmjVrKjg4WN26dXNUPAAAAAAALOFkGIZhdQhHiI2NlY+Pj2JiYh663c4fGfa91RGynRMTW9x+IQAAAAC4hTvtoaZdTgwAAAAAAFC8AQAAAAAwFcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAFkK40bN5azs7OmTJliN75t2zZVrVpVHh4eqlGjhnbt2mU3P2fOHLm4uKhixYrpHvPixYvq1KmT/Pz89Mgjj2jixIlKS0sz9XkAAADg4UHxBpCtbNq0SSNHjrQbO3v2rNq0aaORI0cqNjZWI0aMUFBQkCIjI23LdO3aVf/880+Gj9m2bVv5+/vr2LFj+umnn7Rq1SpNnz7d1OcBAACAhwfFG0C2N2fOHLVv317BwcHKmTOnWrdurU6dOmnmzJm3ve+ff/6pc+fOady4cfL29lapUqU0d+5cff7555mQHAAAAA8DijeAbG/Lli0KCgqyG2vbtq02bNhw2/umpqZq0KBBcnJyso0FBATo7NmzDs8JAACAh5OL1QEAwGonT55UyZIl7cbKlCmj48eP3/a+1atXV/Xq1e3G1qxZk24MAAAA2RfFG0C2Fx8fL09PT7sxDw8PxcfH3/VjRUZG6o033tDKlSsdFQ8AAAAPOXY1B5DteXh4KCEhwW4sKioqXRm/ncTERIWEhKhPnz6qVauWIyMCAADgIUbxBpDtFStWTGFhYXZjYWFhCgwMvKvH6datmwICAvTWW285Mh4AAAAechRvANlevXr1tG7dOrux5cuXq0mTJnf8GKNHj9bx48c1b948uxOtAQAAABzjDSDb69atm6pVq6YGDRqoadOmWrdunZYsWaLQ0NA7uv+iRYv05ZdfaseOHXJ3dzc5LQAAAB4297TFu3HjxnJ2dtaUKVPsxrdt26aqVavKw8NDNWrU0K5du+zmZ8+erWLFisnLy0tt2rSxu9xOcnKyXnvtNeXJk0f58uXTm2++qZSUlHuJBwB3pWDBglq2bJmGDx+uXLlyafTo0Vq1apUKFChw2/tu2bJFXbt2VVhYmIoUKSIXFxfbLTw8PBPSAwAA4EHnZBiGcS93HD16tHLlyqXBgwdLks6ePatKlSpp1qxZatWqlb7//nv17t1bf/75pwoVKqR169apV69e+vbbb1WqVCmNHz9eGzZs0Pbt2yVJw4YN0549ezR//nw5Ozurc+fOqly5siZMmHBHeWJjY+Xj46OYmBh5e3vfy1OyzCPDvrc6QrZzYmILqyMAAAAAeMjdaQ912K7mc+bMUfv27RUcHCxJat26tX777TfNnDlT7733nqZNm6apU6eqcuXKkqQxY8bop59+0saNG1WvXj199tlnOnjwoAoWLChJWrBggcqWLau3335bXl5ejooJwCJ8wJT5+IAJAADgweCwk6tt2bJFQUFBdmNt27bVhg0bZBiGdu7cqRYtWmQ4v2fPHpUrV06FChWyzeXLl0+1atWybREHAAAAAOBh5LDiffLkSZUsWdJurEyZMjp+/LiioqLk6+ub7qRD1+Yzuu/18xlJTExUbGys3Q0AAAAAgAeNw4p3fHy8PD097cY8PDwUHx+f4dzdzGdkwoQJ8vHxsd0CAgIc80QAAAAAAHAghxVvDw8PJSQk2I1FRUXJ09Mzw7m7mc/I8OHDFRMTY7tFREQ45okAAAAAAOBADivexYoVU1hYmN1YWFiYAgMDlS9fPl26dEnJyckZzmd03+vnM+Lm5iZvb2+7GwAAAAAADxqHFe969epp3bp1dmPLly9XkyZN5OTkpOrVq2vjxo0ZzletWlWHDh3SxYsXbXPR0dHauXOn6tSp46iIAAAAAABkOocV727dumn+/Pn64YcflJKSojVr1mjJkiXq06ePJGnQoEEaMGCADh8+rISEBI0ZM0YeHh5q1KiRXF1d1aVLF/Xo0UNRUVG6cOGCunbtqn79+t10V3MAAAAAAB4GDiveBQsW1LJlyzR8+HDlypVLo0eP1qpVq1SgQAFJUvPmzTVgwAA1bdpUefPmVWhoqFasWGG7/3vvvafChQvr0UcfVenSpVWqVCmNHj3aUfEAAAAAALCEk2EYhtUhHCE2NlY+Pj6KiYl56I73fmTY91ZHyHZOTGxx+4XgUKznmY/1HAAAwFx32kMdtsUbAAAAAACkR/EGAAAAAMBEFG8AAAAAAExE8QYAAAAAwEQUbwAAAAAATETxBgAAAADARBRvAAAAAABMRPEGAAAAAMBEFG8AAAAAAExE8QYAAAAAwEQUbwAAAAAATETxBgAAAADARBRvAAAAAABMRPEGAAAAAMBEFG8AAAAAAExE8QYAAAAAwEQUbwAAAAAATETxBgAAAADARBRvAAAAAABMRPEGAAAAAMBEFG8AAAAAAExE8QYAAAAAwEQUbwAAAAAATETxBgAAAADARBRvAAAAAABMRPEGAAAAAMBEFG8AAAAAAExE8QYAAAAAwEQUbwAAAAAATETxBgAAAADARBRvAAAAAABMRPEGAAAAAMBEFG8AAAAAAExE8QYAAAAAwEQUbwAAAAAATETxBgAAAADARBRvAAAAAABMRPEGAAAAAMBEFG8AAAAAAExE8QYAAAAAwEQUbwAAAAAATETxBgAAAADARBRvAAAAAABMRPEGAAAAAMBEDi3eUVFR6tixo/LmzatixYpp6tSptrm//vpL9erVk4eHhypUqKC1a9fa3XfVqlUqXbq0PDw89OSTT+ro0aOOjAYAAAAAgCUcWrw7deqkkiVLKiIiQrt379aWLVs0f/58JSYm6tlnn1WHDh0UExOjWbNmqXv37tq/f78kaf/+/erZs6c+++wzxcTEqF27dmrevLkSEhIcGQ8AAAAAgEzn0OL966+/6q233pKXl5cKFiyo/v3765tvvtHKlStVsWJF9e3bV66urqpfv75GjhypyZMnS5KmT5+uIUOGqGHDhnJ1dVWvXr1Uo0YNLV682JHxAAAAAADIdA4t3i1atNCQIUMUGxuriIgIjR8/XgULFtSWLVsUFBRkt2zbtm21YcMGSbrtPAAAAAAADyuHFu8ZM2ZoxYoV8vHxUbFixXTmzBmNGjVKJ0+eVMmSJe2WzZ8/vxISEpSYmKjTp08rMDDQbr5MmTI6fvz4Tb9XYmKiYmNj7W4AAAAAADxoHFa8U1JS1KpVK7344ouKiopSeHi4mjdvrnPnzik+Pl6enp7p7uPh4aH4+HilpaXJ2dk5w7mbmTBhgnx8fGy3gIAARz0VAAAAAAAcxmHFe82aNfLw8ND7779vO6v5mDFj1KVLF7m6umZ4orTo6Gh5enrK2dlZhmHYzUVFRWVY1q8ZPny4YmJibLeIiAhHPRUAAAAAABzGYcX7yJEjql+/vt2Yl5eXfH19JUlhYWF2c5GRkcqbN69cXV3l7++vkydP2s2HhYWl2/38em5ubvL29ra7AQAAAADwoHFY8Q4MDNThw4ftxhISEvTXX3+pY8eOWrdund3c8uXL1aRJE0lSvXr1bjkPAAAAAMDDymHFu1WrVgoNDdWMGTN0+fJlnT59Wp06dVLt2rUVEhKiXbt2acGCBUpOTtaOHTs0adIkvfnmm5Kk/v37a+zYsdq5c6eSk5M1Z84c7du3Tx06dHBUPAAAAAAALOGw4u3u7q41a9bo22+/VcGCBVWrVi0VKFBACxYskLu7u7777jvNnj1buXPnVrdu3TR79mxVqFBBklSpUiV9/PHHevnll+Xt7a2FCxdq7dq1cnNzc1Q8AAAAAAAs4eLIBytVqpTWr1+f4Vz58uW1devWm963devWat26tSPjAAAAAABgOYdexxsAAAAAANijeAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAABgIoo3AAAAAAAmongDAAAAAGAiijcAAAAAACYytXiHh4dr/vz5Zn4LAAAAAAAeaKYW79dff11nz561fb1t2zZVrVpVHh4eqlGjhnbt2mW3/OzZs1WsWDF5eXmpTZs2dvcFAAAAAOBhZFrxXrt2rY4dO6ZBgwZJks6ePas2bdpo5MiRio2N1YgRIxQUFKTIyEhJ0rp16zR+/HitWbNGFy5cUMWKFdWmTRuz4gEAAAAAkClMKd6JiYkaMGCAZs2aJRcXF0nSnDlz1L59ewUHBytnzpxq3bq1OnXqpJkzZ0qSpk2bpqlTp6py5cry8PDQmDFjlJaWpo0bN5oREQAAAACATGFK8Z40aZIaNGigunXr2sa2bNmioKAgu+Xatm2rDRs2yDAM7dy5Uy1atMhwHgAAAACAh5XDi3dERIQmTJig9evXK0+ePHrjjTeUlpamkydPqmTJknbLlilTRsePH1dUVJR8fX3l7u6e4TwAAAAAAA8rhxfvMWPGqGnTpvrjjz8UGhqqrVu3asaMGYqPj5enp6fdsh4eHoqPj89w7vr5jCQmJio2NtbuBgAAAADAg8bF0Q+4evVqHT58WHny5JEkffHFF2rXrp08PDyUkJBgt2xUVJQ8PT0znLt+PiMTJkzQu+++6+j4AAAAAAA4lEO3eJ8/f15eXl620i1JFSpU0KlTp1SsWDGFhYXZLR8WFqbAwEDly5dPly5dUnJycobzGRk+fLhiYmJst4iICEc+FQAAAAAAHMKhxTtfvny6ePGiLl68aBs7dOiQihUrpnr16mndunV2yy9fvlxNmjSRk5OTqlevnu4M5tfmM+Lm5iZvb2+7GwAAAAAADxqHFm9nZ2d17txZnTt31rlz5xQWFqbu3bvr9ddfV7du3TR//nz98MMPSklJ0Zo1a7RkyRL16dNHkjRo0CANGDBAhw8fVkJCgsaMGSMPDw81atTIkREBAAAAAMhUDj/Ge+LEiRo6dKgqVqwoLy8vvfbaa+rRo4ckadmyZerbt6/atGmjihUratWqVSpQoIAkqXnz5goPD1fTpk0VFRWlZs2aacWKFY6OBwAAAABApnIyDMOwOoQjxMbGysfHRzExMQ/dbuePDPve6gjZzomJLW6/EByK9TzzsZ4DAACY6057qMMvJwYAAAAAAP4PxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADARxRsAAAAAABOZWrwnT56sCxcuSJL++usv1atXTx4eHqpQoYLWrl1rt+yqVatUunRpeXh46Mknn9TRo0fNjAYAAAAAQKYwrXjv27dP77zzjiQpMTFRzz77rDp06KCYmBjNmjVL3bt31/79+yVJ+/fvV8+ePfXZZ58pJiZG7dq1U/PmzZWQkGBWPAAAAAAAMoUpxTspKUkvv/yyUlJSJEkrV65UxYoV1bdvX7m6uqp+/foaOXKkJk+eLEmaPn26hgwZooYNG8rV1VW9evVSjRo1tHjxYjPiAQAAAACQaUwp3iNGjFClSpVUtGhRSdKWLVsUFBRkt0zbtm21YcOGO5oHAAAAAOBh5fDi/euvv2r58uWaMWOGbezkyZMqWbKk3XL58+dXQkKCEhMTdfr0aQUGBtrNlylTRsePH3d0PAAAAAAAMpWLIx8sNjZWnTt31ty5c+Xj42Mbj4+Pl6enZ7rlPTw8FB8fr7S0NDk7O2c4dzOJiYlKTEy0+94AAAAAADxoHLrF+7XXXlNISIgaNWpkN+7h4ZHhidKio6Pl6ekpZ2dnGYZhNxcVFZVhWb9mwoQJ8vHxsd0CAgIc8hwAAAAAAHAkhxXv1atXa9GiRfr444/l7u4ud3d3hYeHq2jRojp48KDCwsLslo+MjFTevHnl6uoqf39/nTx50m4+LCws3e7n1xs+fLhiYmJst4iICEc9FQAAAAAAHMZhxTsoKEjJyclKSEiw3YoXL65Tp05p3LhxWrdund3yy5cvV5MmTSRJ9erVu+V8Rtzc3OTt7W13AwAA9sLCwtS8eXPlzp1bZcqU0ZIlS+zm/f395eLiYrtNmjRJkpSWlqYRI0aoUKFCyp8/v3r37q24uDgrngIAAA89067jfb3g4GDt2rVLCxYsUHJysnbs2KFJkybpzTfflCT1799fY8eO1c6dO5WcnKw5c+Zo37596tChQ2bEAwAgSzIMQ88995yefPJJXbhwQUuXLtXw4cP122+/SZIuXbokNzc3paSk2G5DhgyRJE2dOlVbtmxRaGio/vnnH8XFxdn+3wYAAHcnU4q3u7u7vvvuO82ePVu5c+dWt27dNHv2bFWoUEGSVKlSJX388cd6+eWX5e3trYULF2rt2rVyc3PLjHgAAGRJly5dUr9+/TRkyBC5ubmpSpUqCgoK0tatWyVJBw8eVJkyZTK8b9GiRbVw4UIVKVJEvr6+GjhwoDZv3pyZ8QEAyDIcelbzG504ccL27/Lly9v+o89I69at1bp1azPjAACQreTJk0c9e/aUJCUlJWnz5s1asWKFVq9eLUk6dOjQTYv3tb3ODMNQWFiYRo8erWbNmmVOcAAAsphM2eINAACsVatWLT399NNq1KiRqlWrJum/Ld5LlixR3rx5VbVqVa1fvz7d/T766CM9+uij2rFjhwYNGpTZsQEAyBIo3gAAZAM7duzQjh07dOTIEY0fP16S1KJFC23fvl2RkZGaOnWqunbtqkOHDtnd77XXXtPJkyf18ssv6+mnn1ZSUpIV8QEAeKhRvAEAyAbc3d31xBNP6JtvvtEHH3wgSWratKkCAwPl6uqqp556SkOHDtUXX3xhdz8nJycFBARoypQp8vf31w8//GBFfAAAHmoUbwAAsqgTJ07ozJkzdmP+/v7KkSOH4uPj0y0fGBioU6dOKS4uTnv27Ek3X6VKlXSPBwAAbo/iDQBAFrVt2zYNHjzYbuzEiRPKnTu3pkyZom+//dZubuvWrSpdurRy5Mihp59+WrGxsXbzu3fvVvny5U3PDQBAVkPxBgAgi2rdurV27dql+fPnKz4+XocPH9YLL7ygd955R4899pgGDBigPXv2KC4uTvPmzdMXX3yh3r17y83NTZ07d1bXrl0VGRmpmJgYjRo1SpLUoEEDi58VAAAPH1MvJwYAAKzj5eWlNWvWqF+/furbt6/y5s2rwYMHq3PnzpKkf//9VyEhITp9+rSqVaum1atXq0iRIpKksWPHasSIEapWrZquXLmili1bavny5RY+GwAAHl5OhmEYVodwhNjYWPn4+CgmJkbe3t5Wx7krjwz73uoI2c6JiS2sjpDtsJ5nPtbzzMd6nvlYzwEAVrrTHsqu5gAAAAAAmIjiDQAAAACAiSjeAAAAAACYiOINAAAAAICJKN4AAAAAAJiI4g0AAAAAgIko3gAAAAAAmIjiDQAAAACAiSjeAAAAAACYiOINAAAAAICJKN4AAAAAAJiI4g0AAAAAgIko3gAAAAAAmIjiDQAAAACAiSjeAAAAAACYiOINAAAAAICJKN4AAAAAAJiI4g0AAAAAgIko3gAAAAAAmIjiDQAAAACAiSjeAAAAAACYiOINAAAAAICJKN4AAAAAAJiI4g0AAAAAgIko3gAAAAAAmIjiDQAAAACAiSjeAAAAAACYiOINAAAAAICJKN4AAAAAAJiI4g0AAAAAgIko3gAAAAAAmIjiDQAAAACAiSjeAAAAAACYiOINAAAAAICJKN4AAAAAAJiI4g0AAAAAgIko3gAAAAAAmMihxfvixYvq1KmT/Pz89Mgjj2jixIlKS0uTJG3btk1Vq1aVh4eHatSooV27dtndd/bs2SpWrJi8vLzUpk0bnT171pHRAAAAAACwhEOLd9u2beXv769jx47pp59+0qpVqzR9+nSdPXtWbdq00ciRIxUbG6sRI0YoKChIkZGRkqR169Zp/PjxWrNmjS5cuKCKFSuqTZs2jowGAAAAAIAlHFa8//zzT507d07jxo2Tt7e3SpUqpblz5+rzzz/XnDlz1L59ewUHBytnzpxq3bq1OnXqpJkzZ0qSpk2bpqlTp6py5cry8PDQmDFjlJaWpo0bNzoqHgAAAAAAlnBY8U5NTdWgQYPk5ORkGwsICNDZs2e1ZcsWBQUF2S3ftm1bbdiwQYZhaOfOnWrRokWG8wAAAAAAPMxcHPVA1atXV/Xq1e3G1qxZo+rVqys8PFwlS5a0mytTpoyOHz+uqKgo+fr6yt3dPd384sWLb/r9EhMTlZiYaPs6NjbWAc8CAAAAAADHMu2s5pGRkXrjjTc0cuRIxcfHy9PT027ew8ND8fHxGc5dP38zEyZMkI+Pj+0WEBDg8OcAAAAAAMD9MqV4JyYmKiQkRH369FGtWrXk4eGhhIQEu2WioqLk6emZ4dz18zczfPhwxcTE2G4REREOfx4AAAAAANwvh+1qfr1u3bopICBAb731liSpWLFiCgsLU7FixWzLhIWFKTAwUPny5dOlS5eUnJysnDlzppu/GTc3N7m5uZkRHwAAAAAAh3H4Fu/Ro0fr+PHjmjdvnu1Ea/Xq1dO6devsllu+fLmaNGkiJycnVa9ePd0ZzK/NAwAAAADwMHPoFu9Fixbpyy+/1I4dO+xOltatWzdVq1ZNDRo0UNOmTbVu3TotWbJEoaGhkqRBgwZpwIAB+uabb/TII49o8uTJ8vDwUKNGjRwZDwAAAACATOew4r1lyxZ17dpVycnJKlKkiN3csWPHtGzZMvXt21dt2rRRxYoVtWrVKhUoUECS1Lx5c4WHh6tp06aKiopSs2bNtGLFCkdFAwAAAADAMg4r3vXr17e7vNeNihcvrj179tx0vmfPnurZs6ej4gAAAAAA8EAw7XJiAAAAAACA4g0AAAAAgKko3gAAAAAAmIjiDQAAAACAiSjeAAAAAACYiOINAAAAAICJKN4AAAAAAJiI4g0AAAAAgIko3gAAAAAAmIjiDQAAAACAiSjeAAAAAACYiOINAAAAAICJKN4AAAAAAJiI4g0AAAAAgIko3gAAAAAAmIjiDQAAAACAiSjeAAAAAACYiOINAAAAAICJKN4AAAAAAJiI4g0AAAAAgIko3gAAAAAAmIjiDQAAAACAiSjeAAAAAACYiOINAAAAAICJKN4AAADIUkaMGKEcOXLIxcVFLi4uqlixoiTpr7/+Ur169eTh4aEKFSpo7dq1FicFkF1QvAEAAJClHDx4UBs3blRKSopSUlJ04MABJSYm6tlnn1WHDh0UExOjWbNmqXv37tq/f7/VcQFkAxRvAAAAZCkHDx5U2bJl7cZWrlypihUrqm/fvnJ1dVX9+vU1cuRITZ482aKUALITijcAAACyjISEBF28eFEFCxa0G9+yZYuCgoLsxtq2basNGzZkZjwA2RTFGwAAAFnG4cOHdfXqVQUEBKho0aIaOnSokpOTdfLkSZUsWdJu2fz58yshIUGJiYkWpQWQXVC8AQAAkGV4eXnp559/1t9//60dO3bo4MGDGj16tOLj4+Xp6ZlueQ8PD8XHx1uQFEB24mJ1AAAAAMBRSpUqpVKlSkmSAgIC9OWXX6pMmTKqWbOmEhIS0i0fHR2dYSEHAEdiizcAAACyrDx58sgwDPn5+SksLMxuLjIyUnnz5pWrq6tF6QBkFxRvAAAAZAl//PGHevXqZTd2+PBhubu7q2nTplq3bp3d3PLly9WkSZPMjAg4xMWLF9WpUyf5+fnpkUce0cSJE5WWlibpv3Xe09NTTk5OunDhgsVJcQ3FGwAAAFlC+fLltW7dOs2cOVMJCQnau3ev2rdvr6FDhyo4OFi7du3SggULlJycrB07dmjSpEl68803rY4N3LW2bdvK399fx44d008//aRVq1Zp+vTpkqSyZcsqLi5OxYsXtzglrkfxBgAAQJbg4eGh77//XsuWLVO+fPnUsmVLdejQQX379pW7u7u+++47zZ49W7lz51a3bt00e/ZsVahQwerYwF35888/de7cOY0bN07e3t4qVaqU5s6dq88//9zqaLgFTq4GAACAO/bIsO+tjnB7tQbLr9Z//5x1SZo1fO3/zdUbrkL1pDhJvX5JlX558J/PiYktrI6AB0hqaqoGDRokJycn21hAQIDOnj1rYSrcDsUbAAAAAB4S1atXV/Xq1e3G1qxZk24MDxaKNwAAAAA8pCIjI/XGG29o5cqVVkfBLXCMNwAAAAA8hBITExUSEqI+ffqoVq1aVsfBLVC8AQAAAOAh1K1bNwUEBOitt96yOgpug13NAQAAAOAhM3r0aB0/flwbN260O9EaHkwUbwAAAAB4iCxatEhffvmlduzYIXd3d6vj4A5QvAEAAADgIbFlyxZ17dpVycnJKlKkiN3csWPHVLx4cYuS4VYo3gAAAABwnQf9evWFB2Z8BvOGnxyQdOC/L16YoepTdmZeqPuU1a9X/0CdXC02NlYvvfSScuXKpSJFiuj999+3OhIAAAAAAPflgdri/eqrr8rd3V2nT5/WpUuX1LZtW/n6+qpnz55WRwMAAAAA4J48MMX79OnT2rRpk8LDw+Xu7i4fHx8tWLBAzzzzDMUbAAAAAPDQemB2Nd+2bZuaNm1qd1a+cuXKKVeuXDp69KiFyQAAAAAAuHcPzBbvkydPqmTJkunGy5Qpo+PHj6tUqVJ244mJiUpMTLR9HRMTI+m/48QfNmmJcVZHyHYexvXkYcd6nvlYzzMf63nmYz3PfKznmY/1PPOxnme+h3U9v5bbMIxbLvfAFO/4+Hh5enqmG/fw8FB8fHy68QkTJujdd99NNx4QEGBKPmQtPv+zOgFgPtZzZAes58gOWM+RHTzs6/nly5fl4+Nz0/kHpnh7eHgoLi79J0tRUVEZFvLhw4dr0KBBtq/T0tIUHR2tfPnyycnJydSs+E9sbKwCAgIUEREhb29vq+MApmA9R3bAeo7sgPUc2QHreeYzDEOXL19Od031Gz0wxbtYsWL64Ycf0o2HhYUpMDAw3bibm5vc3Nzsxnx9fc2Kh1vw9vbmFxtZHus5sgPWc2QHrOfIDljPM9ettnRf88CcXK1u3brasGGDUlJSbGMHDhxQYmJihsd+AwAAAADwMHhgire/v7/q1KmjgQMH6sqVK4qIiFCPHj309ttvWx0NAAAAAIB79sAUb0n69NNPFR0drUKFCqlmzZoKDg5Wt27drI6Fm3Bzc9OoUaPS7fIPZCWs58gOWM+RHbCeIztgPX9wORm3O+85AAAAAAC4Zw/UFm8AAAAAALIaijcAAAAAACaieAMAAAAAYCKKNwAAAAAAJqJ4AwAAAMBDKD4+3uoIuEOc1RwAAABZTqtWreTk5JRu3MXFRT4+PqpSpYpeeeUV5c2b14J0gGMUKVJE4eHhypkzp9VRcBts8QaA66xYsUIfffSR7etx48Ypb968qlKlikJDQy1MBjjWxYsXrY4AmKpXr146evSoPD091alTJ3Xr1k358+fXvn379PTTT+vcuXOqUaOGzpw5Y3VU4J499dRTmjp1qlJTU62OgttgizfuWkpKiubNm6dffvlFaWlpatiwobp06SJXV1erowH3rXjx4lqzZo0qVaqk77//XpMmTdIPP/ygtWvX6r333tO+ffusjgg4hKurq5KSkjKcCw4O1sqVKzM5EeBY7777rq5evapJkybZjY8aNUqpqakaO3as5s+fr/Xr12vx4sUWpQTuT8uWLbVp0ya5u7urfPny8vb2Vo4cOWzz3377rYXpcD2KN+5KbGysnn76aeXPn18dO3ZUjhw5tGTJEp04cUIbNmyQr6+v1RGB+1KwYEHt379fnp6eqlmzpr755huVKVNGV65cUaFChXTlyhWrIwL3rH///nJycpJhGJo5c6b69u2bbpmkpCQtX75cFy5csCAh4Dj+/v4KDQ1VwYIF7cbPnj2r6tWrKyIiQsnJyfL399e5c+csSgncn82bN99yvmHDhpmUBLfjYnUAPFyGDh2qihUr6vPPP7eNPf/88+rXr5/efPNNffbZZxamA+7fmDFjVKNGDbm6umrw4MEqU6aMJOl///uf2rVrZ3E64P5Ur17d9m8nJyc9/vjj6ZZxdnZW//79MzMWYIrY2Fi5ubmlG/fy8rJ9sJQzZ84MjwMHHhbXinVUVJT27t2rJ5980uJEuBm2eOOuFChQQKGhoSpatKjd+KlTp1StWjWdP3/eomSA41y9elVOTk7y9PS0jf31118qUaKE3N3dLUwGOM4LL7ygJUuWWB0DME3Lli31zDPPpNuz46uvvtKMGTO0detW/fHHH+rbt69+++03i1IC92/o0KH66quvdP78ecXHx6tPnz4qUKCARo8ebXU0XIct3rgrV69elY+PT7pxX19fxcXFWZAIcDwvLy/t3btXoaGh6tKli+Li4lSuXDmrYwEORelGVjd58mQ9+eSTSk1NVefOneXm5qZVq1Zp8ODBWr58ucLDw9W5c2e99957VkcF7tkHH3yg/fv3659//rH9jT5p0iS1aNFC+fPnV79+/SxOiGvY4o270rx5c4WEhKhHjx5244sWLdK8efP0008/WZQMcIzk5GR17NhRx44d04EDB5SQkKC+ffvqypUrmjt3rpyduRgEso5PP/1Ua9asUWRkpBITEyVJhmHIycmJEwkiS/j77781bNgwbdy4UZJUu3ZtjR07Vo8//rjthGovvviilRGB+1KqVCmtXr1a5cuXl6enp21D2N69e/X888/r77//tjghrqF4467s27dPzZo106hRo2wnV1uxYoWGDRumNWvWqGrVqlZHBO7LiBEjdOrUKc2fP18eHh6Kj49Xamqq2rVrp0qVKrHbFrKMYcOGadOmTRo9erRKliyZ7soUxYsXtygZAOBOubu76+rVq8qRI4dd8U5OTpa3t7fi4+MtTohrKN64a4cOHdLw4cP1yy+/yMnJSfXq1dP48eNVuXJlq6MB96148eLavHmzHnnkEbv/wI4ePaomTZooPDzc4oSAY+TLl0+hoaEUbGRpqamp2rNnj91eHdcEBwdblApwnAoVKmjp0qWqUKGCbYOBJP3+++/q1KmTDh48aHFCXEPxxm1FR0dnOH5t1bn+bKB58+bNlEyAWTw8PHT58mW5uLjYFe+kpCTOZYAsxd/fX0ePHrU7iSCQlfz5558KCgpSkSJF9Oijj9rt1eHk5KQ5c+ZYmA5wjIULF2r27NlatWqVihYtqri4OEVERKh169YaMGCAXn75Zasj4v/j5Gq4rccff9x23ddrri/b58+fV1xcnIYNG6Zx48ZZERFwmIoVKyo0NFQ1a9a0W+e3bt2q8uXLW5gMcKy+fftq9OjRmjRpktVRAFP07NlTo0aNUrdu3ayOApimY8eOiouLU9WqVZWYmKg6deooPDxc77zzDqX7AcMWb9yXL774QkOHDtWsWbPUtm1bq+MA9239+vUaMmSIlixZoscff1xxcXH6/fff1aFDB3388cdq3ry51REBh1i2bJnGjh2rokWLKjg4WD4+PnYnD2Q3XDzsvLy8FB0dneG1vIGsJikpSfv375f030YE1vsHD1u8cU9SUlLUv39//fzzz9q8ebMqVKhgdSTAIZo1a6a0tDS1a9dOCQkJKlKkiHx9ffW///2P0o0sZe3atXrsscck/bdHx/WcnJwo3njo1axZU/v371f16tWtjgKYpnbt2urVq5fat2+vxx9/3Oo4uAW2eOOunTlzRsHBwfL19dXixYuVJ08eqyMB9+X999/XwIED053VOSoqStJ/J6ECADxc/vrrL3Xu3FkzZsygfCPL2r17tz777DOtX79ezz33nHr27KmKFStaHQsZoHjjrmzdulXPP/+8OnXqpPHjx3NNY2QJwcHBCg0N1bhx4/TSSy9ZHQfIFL/++ust5xs0aJBJSQBzVKpUSVFRUYqMjJS/v7/tcAquVY+sKC4uTkuWLNEXX3wh6b9zHLRr107u7u4WJ8M1FG/csY8//lijRo3SJ598ovbt21sdB3CorVu36s0331RSUpKmTJmixo0bWx0JMNXzzz+vvXv36uzZs6pbt64kadu2bSpcuLAqV66spUuXWpwQuD+3u/wjl9JDVnT8+HENHDhQGzduVO/evTmB5gOE4o3bSkxMVI8ePbRy5Up9/PHHqlKlyk2XvXa8IPCwWrZsmYYMGaLSpUurTJky6eY/+ugjC1IBjrdx40YNGzZM33zzjfz9/SVJp0+fVkhIiD788EPVqlXL4oTA3YuMjJSHh4d8fHysjgJkmtTUVK1evVqzZs3S+fPn9eqrr+qll16St7e31dFwHU6uhtsaPny4IiIiVKNGDS1YsOCmyzk5OWnjxo2ZmAxwrLi4OO3bt0+XL1/WY489prJly1odCTDN8OHD9fHHH9tKt/Tftb2nTZumgQMHavv27RamA+5N5cqVVaZMGW3ZskUlSpSwu/zpNdd2NT9+/LgFCQHHGjt2rGbOnKly5cpp3LhxeuKJJ6yOhJtgizeAbM8wDH3++ecaPXq0mjRpovHjx9uVESAr8vT01MWLF9NdciYxMVF58uRRXFycRcmAexcaGqrcuXOrVKlSthNk3gwnzkRWcOnSJc2fP1+ff/65AgIC1Lt3b7Vs2TLDD51gLYo3gGyvUqVKyp8/v6ZMmcKlOJBtlCpVSl999VW6sz3v2rVLHTt21N9//21RMsDxrl69qsTERLuxvHnzWpQGMMevv/6qTz/9VLt27dIrr7yi7t27q3DhwlbHwv/HruYAsr2xY8cqKCjI6hhApnrttdfUs2dPrV+/Xvnz55cknTt3Tr169dLAgQMtTgfcv4sXL6p379768ccf5enpqZw5c9rm2NUcWVGDBg2UlJSkqKgozZkzRzlz5tSwYcOsjoX/j+ININujdCM76t+/v86dO6cKFSqoUaNGMgxDv/76q/r06aPevXtbHQ+4b926dZOfn5/Cw8OVO3duq+MApjl58qTmzJmjr776SlWqVNGgQYPUtGlTdjd/wLCrOQAA2diZM2e0fft2OTk5qW7duipYsKDVkQCH8Pb2VkREBGc4R5bWpEkTnTlzRl27dtUrr7wiPz8/qyPhJijeAABkQ//73/80YMCADOf+/fdfFSlSJHMDAQ5WoUIF/fzzzxzjiixty5Ytql+/vtUxcAecrQ4AAAAy35AhQzIcNwxD5cqVy+Q0gOONHz9eXbp0UUJCgtVRANMYhmF3ud+FCxeqSpUqCgoKUlhYmIXJcCOO8QYAIJvInTu3nJycZBiGUlNT5e3tnW4ZwzBUu3ZtC9IBjvXzzz/r9OnTKlasmJo1ayYfHx85O//fNqePPvrIwnSAY/Ts2VOzZ8+WJO3YsUNTp07V0qVL9f3336tjx47atm2bxQlxDbuaAwCQDeXMmVPJyclWxwBMM3/+/FvOd+rUKZOSAObJmzevwsPD5eHhoSeeeEIzZsxQrVq1FB8fr/z58+vq1atWR8T/xxZvAACyodWrV1sdATAVxRrZwWuvvaYGDRrI1dVVzzzzjGrVqiVJmjt3rpo0aWJxOlyPLd4AAGRDVapU0R9//CEXFz6DR9Z14sQJjRgxQps3b1ZaWpoaNmyosWPH6tFHH7U6GuAwR44cUY4cOVSyZEnb2ObNm1W5cmXlyZPHwmS4HidXAwAgGypYsKCWLVtmdQzANEeOHFHdunVVrVo1/f7779q7d69q166tBg0a6NChQ1bHAxymTJkyKlmypK5evaro6GhFR0erUqVKYvvqg4Ut3gAAZEM9evTQ4sWLFRgYqKpVq8rb21s5cuSwzXPiKTzsWrVqpSZNmuj111+3G//kk0/07bff6ocffrAoGeA40dHR6tOnj3788Ud5enoqZ86ctjknJycdP37cwnS4HsUbAIBsiBNPIavLnTu3IiIi5Ovrazd+6dIlFS1aVFeuXLEmGOBAwcHB8vPz05QpU5Q7d26r4+AWKN4AAGRz//zzj9LS0lS6dGmrowAOkz9/fh04cECFChWyGz937pzKli2r6Ohoi5IBjuPt7a2IiAj5+PhYHQW3wTHeAABkU6tWrVLx4sXVqlUrtWnTRsWLF+e4b2QZrVu31oQJE9KNT58+XUFBQRYkAhwvICBAcXFxVsfAHWCLNwAA2dDatWvVu3dvLV261Hb5mT///FMhISH68MMP1apVK4sTAvcnOjpajRs3VtmyZfXKK6/IxcVFy5Yt02+//abNmzcrX758VkcE7tvq1av1ySefaNWqVXJ3d7c6Dm6B4g0AQDZUvXp1vfvuu2rRooXd+Lp16/TWW28pNDTUomSA48THx2vWrFnatGmT7XJiffr0kZeXl9XRAIfo37+/fvnlF509e1bNmjWTj4+PnJ3/b6dmTpT54KB4AwCQDXl6eioqKkoeHh524/Hx8cqbN6/i4+MtSgYAuFOcKPPh4WJ1AAAAkPkKFCigsLAwlS9f3m48IiJCfn5+FqUC7s/zzz+vEiVKaNKkSXr33Xfl5OR002VHjhyZickAc1CsHx4UbwAAsqEePXqoX79+Wrt2re24wJSUFA0ZMkQ9evSwOB1wbx555BH5+/tLknLlymVxGsB877333i3n+YDpwUHxBgAgG3rrrbcUFhamChUqKDg4WC4uLlq9erWqV6+uESNGWB0PuCeTJ0+2/fvJJ59UtWrVLEwDmC9fvnyaOXOmvLy81LZtW0nS8uXLlZyczIeoDxiO8QYAIBsLDQ3VL7/8YjvxVI0aNayOBDiEq6urkpKSMpx77LHHOIEgsoQZM2Zo8+bNWrJkie2kaqmpqerQoYOeffZZde7c2dqAsKF4AwCQzV0rJ66urhYnAe5Pq1at5OTkJMMwtHbt2nRn7Zf+W98PHjyoiIgICxICjlWqVCn9+OOPKlGihN34sWPH9Mwzz+jvv/+2KBluRPEGACCb+u233zRw4EAdPHhQklSxYkVNnTpVtWvXtjgZcG82b94sSTIMQ02aNNGGDRvSLePs7KyyZctyEkFkCR4eHoqKipKnp6fdeFxcnPLnz6+4uDiLkuFGHOMNAEA2tGPHDoWEhGjGjBlq3bq1JGnlypUKDg7WihUrVKdOHWsDAvegYcOGtn8PHjzY7msgK6pcubLWr1+vNm3a2I2vXbtWVapUsSgVMsIWbwAAsqGGDRuqZ8+eevHFF+3GFy5cqFmzZmnr1q0WJQMcwzAMJScn2x1CsWfPHhUpUkQFChSwMBngOBs2bFDHjh315ZdfqkmTJpKk9evXq0uXLvrqq6/48OkBQvEGACAb8vLy0rlz5+Tl5WU3fuXKFRUoUIDdE/HQGzlypFxcXDRy5EilpqaqRYsWiomJ0cmTJzVx4kS9/PLLVkcEHGL9+vV64403dP78eUlSoUKF9MEHH+ipp56yOBmuR/EGACAbKl68uLZt26aiRYvajUdERKhhw4Y6fvy4RckAx8iTJ4/+/vtv+fn5adq0aTpy5IhmzZqlv/76S02aNNHp06etjgg4VFRUlJycnJQ3b16royADzlYHAAAAma9Xr16aMGFCuvGJEydq4MCBFiQCHKtQoUI6cuSI9uzZoxkzZmjixImSJF9fXyUnJ1ucDnC8fPnyUbofYJxcDQCAbKhkyZJauHChWrdurRdeeEGGYejrr79WeHi4nnzySa1cudK2bHBwsIVJgXszd+5cDRw4UC4uLlq0aJF8fX0lSZMnT9awYcOsDQcg22FXcwAAsqEuXbrc0XJOTk6aM2eOyWmAzBMfHy8PDw+rYwDIZijeAAAAyJKuXLmiL774Qnv27NHcuXO1f/9+lSxZkuKNLOPPP/9UtWrVrI6BO0DxBgAgm4qPj1doaKiioqKUkpJiN8fu5XjYRUZGqnHjxnr22Wc1c+ZMxcfHa/LkyZo3b55++eUX+fn5WR0RuG+urq5KSkrKcO6xxx5TaGhoJifCzVC8AQDIhtatW6dOnTqpZs2ayps3r5yd/+98q+xejqzg5ZdfVuXKlfXmm2/Kw8ND8fHxkqRRo0YpLCxMCxYssDghcG9atWolJycnGYahtWvXqkWLFumWSUpK0sGDBxUREWFBQmSE4g0AQDZUqlQpzZkzR/Xr17c6CmCKfPny6Z9//lGePHnk6elpuzZ9VFSUypQpowsXLlicELg3mzdvliQZhqEmTZpow4YN6ZZxdnZW2bJl2bPjAcJZzQEAyIaioqJUq1Ytq2MApklKSpKnp2e6cVdXVyUmJlqQCHCMhg0b2v49ePBgu6/x4OI63gAAZEMvv/yyvvjiC6tjAKZp3LixvvvuO0n/bRm8ZtmyZWrUqJFFqQDHmjhxor766iu747wTExO1bNkyC1MhI2zxBgAgG5oyZYp69uyprVu3qn79+sqbN69cXP7vzwJOroaH3dSpU9W8eXNFRUVJko4eParVq1drxowZWr9+vcXpAMdYuXKlJk2apBYtWsjV1VWSlJCQoPfee09eXl569tlnLU6IazjGGwCAbGjt2rV65ZVXVL16dfn5+dmVbk6uhqzi1KlTmjhxou2Y2Pr16+utt95S0aJFLU4GOEbt2rU1ZcoU1a1b1278l19+0ciRI/Xrr79alAw3ongDAJANlSxZUrNnz9aTTz5pdRQAwD3KlSuXYmJilCNHDrvxlJQU5c2bV7GxsRYlw43Y1RwAgGzo/PnzqlevntUxANOsXLnylvMcToGswNPTU2fPnlWRIkXsxiMjI9OVcViL4g0AQDb00ksv6fPPP1efPn2sjgKY4tqJ1SQpLS1NsbGx2rhxowICAlSzZk2KN7KEli1b6tNPP9W7775rNz5z5kw1a9bMolTICMUbAIBsqG7duho5cqS2bt2qRo0aKU+ePHZbRygleNjNnTs33dilS5cUEhKi9u3bW5AIcLzx48erXr16Sk1NVceOHZWSkqI5c+Zo6dKl2r59u9XxcB2O8QYAIBvq0qXLTec4uRqyspMnT6ply5bat2+f1VEAh7hw4YLGjx+vDRs2KDU1VQ0bNtSIESPS7X4Oa1G8AQAAkG1cuXJFBQsW1NWrV62OAiAbYVdzAACyiSFDhsjf31+vv/66FixYcMtlX3nllUxKBWSe5ORkvfvuu6pfv77VUQCHMgxDYWFhCgwMtDoKboLiDQBANhEWFmb79+7du2+5LMUbD7tKlSrJycnJ9nVycrLOnz+vJ554QvPmzbMuGOBgn3zyicaOHauoqCglJCRo6NChKlOmjLp27Wp1NFyHXc0BAACQ5YSHh9t97ebmprx588rV1dWiRIDjLVy4UB9//LG+//57BQQEKD4+XqdPn1bz5s319ttvcyLBBwjFGwCAbOqvv/7S2rVrFRkZqcTERLu5jz76yKJUAIA7ValSJc2ZM0c1atSQp6en4uLiJEnbtm1Tnz59tHfvXosT4hqKNwAA2dDixYs1YMAAde3aVY8++mi6rYCdOnWyKBngGDfuap4RwzDk5OTEGc7x0HJ3d9eVK1fk4uJiV7yTk5Pl4+Nj+xrW4xhvAACyoREjRuibb75R3bp1rY4CmGLx4sXq2LGjgoKC9NJLL0mSFixYoHXr1mnRokXy8PCwOCFw//z9/RUREaESJUrYjf/zzz8qXLiwRamQEbZ4AwCQDfn4+OjChQvKmTOn1VEAU/Tp00eBgYEaPHiw3fi4ceN04cIFTZs2zaJkgONMmzZNW7du1ddffy1vb2/FxcXp6tWrat26tZ555hkNGjTI6oj4/yjeAABkQ507d1bTpk1tWwKBrMbPz09HjhxR3rx57cbPnTunChUq6Pz58xYlAxzrrbfe0tdff63w8HC1a9dOW7du1UsvvaQJEyZYHQ3XoXgDAJANHTt2TB07dlRISIjatGkjHx8fOTs72+ZvLCvAw8bb21vHjh2Tn5+f3fiFCxcUGBio2NhYi5IBjnfmzBlt375dklS7dm0VKVLE4kS4EcUbAIBs6MbjAa/n5OSk48ePZ2IawPFCQkL02GOPacSIEXbj48aNU2hoqFasWGFRMsBx+vfvr//973/KkSOH1VFwGxRvAAAAZDnh4eGqX7++XnzxRb3yyitycnLS/Pnz9dVXX+nXX39V8eLFrY4I3LdHH31Ua9euVZkyZayOgtvgrOYAAGQTN7u8Uo4cOZQrVy6VKVNG3bp1U+3atS1IBzhW8eLFtWvXLo0bN07t27eXs7OzGjVqpJ07d6pQoUJWxwMc4tVXX1Xjxo0VEhKiqlWrytvb227rd3BwsIXpcD22eAMAkE2Eh4dnOG4YhuLj47V9+3aNHj1aH374IX+sAcBDoEuXLjedc3Jy0pw5czIxDW6F4g0AAGx++eUX9enTR4cOHbI6CgDgNpYvX66QkJAM92bCg4XiDQAAbJKTk+Xj46O4uDirowAAbiNPnjwKCwuTr6+v1VFwG863XwQAAGQXW7duVenSpa2OAQC4A1OmTFFQUJBWrlypY8eO6fz584qOjrbd8OBgizcAANlEaGjoTeeSk5P1+++/a+zYsVqyZIkaNmyYickAx/vf//6nAQMGZDj377//cp1jZAlcGvLhQfEGACCbaNy4cYbjzs7OcnNzU7FixdSlSxfVqlUrk5MBjufq6qqkpKR044ZhyNfXVzExMRakApBdcTkxAACyiU2bNlkdATBV7ty55eTkJMMwlJqaKm9v73TLGIbBJfOQpaSkpGjevHn65ZdflJaWpkaNGqlz585ydXW1OhquwxZvAAAAZDk5c+ZUcnKy1TEAU8XGxurpp59W/vz51bFjR+XIkUNLlizRiRMntGHDBk669gCheAMAACDL+eGHH/TMM89YHQMwVe/evZWcnKzPP//cbrxfv35KTEzUZ599ZlEy3IjiDQAAgCwnNTVVffr00bhx45Q/f35J0vnz5zV69GhNnz6d6x4jSyhQoIBCQ0NVtGhRu/FTp06pWrVqOn/+vEXJcCMuJwYAAIAs54MPPtClS5dspVuS8ufPrzNnzuijjz6yMBngOFevXpWPj0+6cV9fX8XFxVmQCDdD8QYAAECW88UXX2jcuHF2Y05OTho/fjy73yLLqF+/vpYsWZJufPXq1apTp44FiXAznNUcAAAAWc7JkyczvMZxqVKluLYxsoxJkyapWbNmSk1NtZ1cbcWKFRo+fLi+++47q+PhOmzxBgAAQJZTuHBhHT16NN344cOHlTdvXgsSAY5XuXJlbdiwQT/88IP8/f1VuHBhLVmyRN9//72qVq1qdTxch5OrAQAAIMsZNWqUDhw4oBUrVtjGDMNQUFCQypYtq0mTJlmYDkB2Q/EGAABAlpOcnKw2bdro8uXL6tChg1JSUrRgwQLlypVLa9eulbu7u9URgXsWFxenM2fO6NFHH003d/r0aXl4eLBnxwOGXc0BAACQ5eTMmVNr1qzRG2+8ob/++kuHDx/W4MGD9fPPP1O68VBLTU1Vs2bNtGDBggznly5dqoYNGyohISGTk+FW2OINAAAAAA+JGTNm6Pvvv9fatWtvukxwcLAef/xxjRgxIhOT4VbY4g0AAIAsa+/evZo7d64kcV1jZAlffvml3nnnnVsuM3z4cC1dujSTEuFOsMUbAAAAWU5ycrI6duyoY8eO6cCBA0pISFDfvn115coVzZ07V87ObH/Cw8nX11fnzp2Tq6vrTZdJTk5W3rx5dfny5UxMhlvhHQcAAABZzujRo+Xu7q7ff/9dTk5OkqSPPvpIV65c0XvvvWdxOuDeubi4KCUl5ZbLJCUl8eHSA4afBgAAALKchQsX6t1335UkW/HOkSOHJk6caNv1HHgYVatWTT/++OMtl9m0aRPX8X7AULwBAACQ5Zw7d05FixZNN168eHGdP3/egkSAY/Tr109Dhw5VbGxshvPx8fF6++231adPn0xOhluheAMAACDLqVixokJDQyVJ15/SaOvWrSpfvrxVsYD7FhQUpKZNm6pevXravXu33dzBgwf15JNP6vHHH1f79u0tSoiMuFgdAAAAAHC0sWPHqkePHlqyZIltV/Pff/9dPXv21Mcff2xxOuD+TJ8+XZ999pleeOEFGYYhf39/nT17VgkJCRo6dKj69u1rdUTcgLOaAwAAIEv64YcfNGTIEB08eFCFChWSr6+vJk+erBYtWlgdDXCY48eP6+zZs8qfP79KlSpldRzcBMUbAAAAWVpUVJQkKV++fBYnAZBdcYw3AAAAspwqVarYLrmUL18+SjcAS1G8AQAAkOUULFhQy5YtszoGAEhiV3MAAABkQT169NDixYsVGBioqlWrytvbWzly5LDNf/TRRxamA5DdcFZzAAAAZDn16tVTvXr1rI4BAJIo3gAAAMiCfv/9d/3vf/+z28oNAFbhGG8AAABkOWvXrtU///xjdQwAkMQWbwAAAGRBr776qho3bqyQkJAMj/EODg62MB2A7IaTqwEAACDL6dKly03nnJycNGfOnExMAyC7o3gDAAAAAGAijvEGAABAlnTixAl17NhRRYsWVZEiRdShQwcdO3bM6lgAsiGKNwAAALKcI0eOqE6dOqpatap+//137d27V7Vr11aDBg106NAhq+MByGbY1RwAAABZTqtWrdSkSRO9/vrrduOffPKJvv32W/3www8WJQOQHVG8AQAAkOXkzp1bERER8vX1tRu/dOmSihYtqitXrlgTDEC2xK7mAAAAyHLc3NyUkJCQbjwpKUmurq4WJAKQnVG8AQAAkOW0bt1aEyZMSDc+ffp0BQUFWZAIQHbGruYAAADIcqKjo9W4cWOVLVtWr7zyilxcXLRs2TL99ttv2rx5s/Lly2d1RADZCMUbAAAAWVJ8fLxmzZqlTZs2KS0tTQ0bNlSfPn3k5eVldTQA2QzFGwAAAFlSTEyMfHx87MZiY2Pl7e1tUSIA2RXHeAMAACDLCQ8PV5UqVXTu3DnbWGRkpKpVq6Z///3XwmQAsiO2eAMAACDL6dixo+rUqaM+ffrYjX/44Yfas2eP5s6da1EyANkRxRsAAABZToECBXT06NF0u5pfunRJZcuWVWRkpEXJAGRH7GoOAACALOfq1avKmTNnunEXFxfFxsZakAhAdkbxBgAAQJZTrVo1bdy4Md34zz//rPLly1uQCEB2RvEGAABAlvPOO+/otdde019//WUb+/PPP9W/f3+NGDHCwmQAsiOO8QYAAECW9PXXX2vw4MHy9/dXSkqKIiIiNH78eHXr1s3qaACyGYo3AAAAsqyUlBTt379fqampqlSpktzc3KyOBCAbongDAAAAAGAiF6sDAAAAAGb466+/tHbtWkVGRioxMdFu7qOPPrIoFYDsiOINAACALGfx4sUaMGCAunbtqtKlS8vV1dXqSACyMXY1BwAAQJZTokQJLVy4UHXr1rU6CgBQvAEAAJD1+Pj46MKFC8qZM6fVUQCA63gDAAAg62nTpo2WLl1qdQwAkMQWbwAAAGRBx44dU8eOHRUSEqI2bdrIx8dHzs7/t80pb968FqYDkN1QvAEAAJDllChR4qZzTk5OOn78eCamAZDdUbwBAAAAADARlxMDAABAlhAdHX3Hy7KrOYDMxBZvAAAAZAklSpSQk5OTbvfnLbuaA8hsFG8AAAAAAEzE5cQAAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAyGS7d+/WDz/8YHUMAJmE4g3gofHLL7+oZcuW9/048+bNU79+/SRJnTt31vLly+/7MR1t5syZ6tSpk+3rjz766JbL324+IydOnFDFihXv+n4ZeeSRR3ThwoU7Hn9QfPTRRypevLh8fX31wgsv6Pz587dcfu/evWrUqJFy586typUra/369ba5X375Rc7OznJ1dVVAQIBef/11xcfH3/LxGjVqpN9///2+n0euXLnu+zHuxOjRozVlypQM5w4dOqRHHnnEIY/lSI5637idGjVq6OOPP77j5e/0+Tdu3FjOzs4ZLnv48GF5enrKyckp3e/ZU089JRcXF7ubk5OTvvnmm9t+T0e+N9zO3b5H3Ol79jfffCNfX189/fTTksz7Hckoz6hRo5QjR45brndpaWnq1auXLl++fNffJzU1VQ0aNFCePHns3oMAPNgo3gDwAFq2bJmef/5529fLly/XL7/8kuGysbGxGj16tFJSUjIpXdawbNkyzZo1Sz///LP+/fdflShRQp07d77p8levXlVQUJAGDBigqKgoLVq0SG+++aaOHDliW+bZZ59VUlKS/vzzT126dEmjR482/4k8IJYtW6a2bdtaHcMypUqVUoECBRz+uJs2bdLIkSMznCtbtqzi4uJUvHjxdHMbNmxQSkqK7bZ161ZVqlRJrVu3dnjGB9HcuXM1f/58LV68ONO/97vvvqsNGzbccplZs2bJz89P7dq1u+vH37t3r65evarIyEg98cQT9xoTQCajeAPAA+bs2bPat2+fbUuNJIWFhWnq1KkZLv/555/r4sWLCg8Pz6yIWYKnp6e+/vprlSpVSp6enho6dKg2b9580+X/+usvBQQEqHXr1nJ1dVWlSpUUFBSU4a6i+fPn18iRI/XTTz+Z+RQeKDd+WJTdLF68WO3bt7c6xk2NGTNGI0aMkJOTk9VRMkVsbKz8/f2VP39+q6Okc+HCBY0bN04zZsy4p/vHxsaqcOHCcnNzk4+Pj4PTATALxRuAw+XKlUv79+/XE088IS8vLzVr1kznz5/XwYMHVb9+feXKlUvPPvuszp07Z3e/adOmKTAwUG5ubqpQoYK+/PJL29zQoUP11FNPae3atXJxcdEff/wh6b+tkK+99poKFCigXLlyqVWrVgoLC7vnP7ZCQ0P11FNPycPDQ/7+/ho9erRWrVpl2xJ6bbfVZcuW6dFHH5W3t7f69++vtLQ0ffPNNypbtqx8fX31+uuvKzU11fa4d5Nz5cqVatGihVxdXSVJSUlJSktL07Fjx+y2rkr/7XI4Y8YM1ahRQ2FhYXZzCxcuVPny5eXm5qZHH31UU6dOlWEYkv7blb1kyZI6ePCgXFxctHLlSklSSkqKRo0apYCAAHl6eqpRo0bas2ePqlevrhMnTtzTa3q9r7/+WhUrVpS7u7sqVKigr7/+WoMHD9a8efMk/bf77aRJkzRy5Ejlz59fhQsX1pw5c2QYhsaMGaOCBQuqcOHCtuWvOX78uFq3bq1cuXLJz89Pr732mnbt2qVGjRrdNEuLFi1UqVIlSdK///6rIUOGqFmzZjddvkKFCjp79qwWLFigxMRE7d69W/PmzVPBggUzXD4mJkY5cuS449emUaNG2rZtmwYOHKh8+fKpYMGC+uCDD2zz586dU+PGjeXl5aW2bdvq4sWLtt+Hq1evysXFRR988IHmzZun7t27q2nTpqpUqZIMw8hwd97rD7m4ZteuXWrWrJly584tHx8ftWrVSnv37pUkPfHEE3rvvfc0dOhQ+fr62t3vr7/+0uXLl1WzZk278fXr16tu3bry9PRU/vz59eKLL6Zbj2bPnq3AwEB5e3ura9euSkhIsJu/1fvCNWfOnFGXLl3k5+cnT09P1apVSytWrMjwdZ4+fbpKly6t8PBw2y7VBw8eVJMmTeTl5aXChQtr6NChSkxMtLvfvn371KxZM9tz6dmzp2JiYmzzLVu2tO2Vcruf5a1eSzOEhobq+PHjd/TByM3eG9LS0jRu3DgVL15c7u7ueuyxx/T999/b7pfReif99/41atQoBQYGyt3dXaVLl9b7779vt4fOpUuX1KlTJ3l7e6t48eJatGjRLTOmpaVp0qRJeuSRR+Th4aHatWtry5YttvmgoCBt3rxZTzzxhJ566qkMH+PTTz9VmTJl5ObmpnLlyqV7T5Fu/35VqFAhLViwQO3bt1fVqlVv+9peM3ToUPXu3VuPPvroHd/nmj/++MPu/8JbfVgI4AFjAICDubq6GnXq1DF+//13Iy4uzujTp48RFBRk1K9f3/jjjz+M+Ph4Y+DAgUbnzp1t9xk+fLjRunVr4+jRo0ZiYqLx22+/GdWrVzemT59uW2bTpk1GixYtbF+npKQYDRs2NNq3b2/8888/xuXLl42vv/7aqFq1quHl5XXTfHPnzjX69u1rGIZhdOrUyVi2bJlhGIaxd+9ew8/Pz/j000+NixcvGhEREUa/fv2McuXKGZ06dbJlKFq0qNGyZUvj1KlTRmRkpFG7dm2jZ8+eRsuWLY3Tp08b586dMxo0aGDMmzfvnnI2btzYWL16te3rv//+26hdu7Yxa9Ys49VXX7VbdsmSJUZwcLAxZMgQ49NPP7WNf/rpp0bdunWNvXv3GklJScb+/fuNZs2aGYMHD7YtExYWZlSoUMHu8Tp27Gg8+eSTxv79+42rV68a69atMypXrmwULlzYCAsLu+lrWrx4ceP8+fO3HP/888+NEiVKGD/++KMRFxdn7Nu3z2jcuLFRtmxZY+7cuYZhGMaoUaOM4sWLG8OHDzeuXLlihIaGGn5+fkavXr2Mt956y7hy5Yqxb98+o3DhwsaxY8cMwzCMU6dOGf7+/sa4ceOMc+fOGWfPnjXGjBljVKhQwWjYsOFNM1+zatUqQ5Lh4eFh7N2795bLbtu2zXBxcTEkGZKMkJAQIzk52TCM/1s/k5OTjf379xv169c3Pvroo1s+XsOGDY3du3fb/l21alVjypQpttcnMDDQWLt2rWEYhjF06FDj3XffNS5fvmxMnTrV+Oeff2yPc/16NHfuXMPDw8P48ssvjcTExHQ/h+uXu/Z7YBiG8euvvxqFCxc25s2bZ0RHRxtXrlwxFi1aZPj7+xtHjx41DOO/n8/kyZPTPY93333XGDhwoN3YkiVLjOLFixurVq0yLl++bERHRxvTp083AgICjOjoaGPUqFFGpUqVjA4dOhjnzp0zIiMjjeeee84YMmSI7THu5H3h3LlzRmBgoDFixAgjIiLCSEpKMn799VejcuXKxsKFC+3eN8aNG2dUrlzZOHPmjGEY//0OFChQwKhatarx/fffG1evXjWOHDliBAUFGS1btrR9j4MHDxoFCxY0PvnkE+PSpUtGeHi40bVrV6NmzZq217hFixbGpk2b7uhneavXMiO3W/Zmv3/XtGnTxliwYMEdfS/DyPi9oVu3bkbDhg2Nffv2GVeuXDG+++47o2jRosaKFSsMw8h4vUtLSzNatGhhtG7d2jhw4ICRlJRkHDlyxHj++eeN7t2727LXqFHDmDdvnpGQkGBs2bLFKFCggHHgwIEMs3Xq1MkoU6aM0b9/f+PkyZNGbGyssWjRIqNAgQLGli1bbMtd/7tlGPa/I2PGjDEqV65s7Nixw4iLizM2b95slClTxpg2bZptmTt5v7qW59r/Ide78f+ra3bt2mU4OTkZAQEBRv78+Y1Jkybd7MeQ7nlf+z43e2wADzaKNwCHk2T88MMPtq///fdfQ5Kxbt0629i1P5YNwzBOnz5tlChRwvbH2vXLFC5c2EhJSTEMI/0fG0uXLjXq1KljpKWl2d1v9erVxq0+V7xZ8X722WeNWbNmpVu+TZs2dsXb3d3duHjxom1+8eLFhoeHhxEdHW2XrWvXrned89y5c0aePHmMhIQE29j69euNDh06GHFxcUZAQIBx7tw521ytWrWMbdu2GTNnzjSGDRtmGIZhJCQkGEWLFk33h3hiYqJRtGhR2/1v/ON6165dRmBgoBEXF2d3v9DQUMPZ2fm+indCQoJRoEABY//+/Xbzly9fNgICAuyKd61ateyWefXVV40nnnjCbqxPnz62ItGnTx/bc7/ewIED76h4G4ZhREZGGpMmTTL8/f2NCxcuZLhMeHi4UaxYMePLL780rly5YuzcudPo16+f7ee+adMmw9nZ2ciRI4chycifP7+xY8eOW37fG4t3r1697OZnzJhh9OnTxzAMw3jrrbeMDz74IMPHubF4ly9f3m7+Top31apVjfXr16d77Gsl1TBuXgArVapkbN++3fZ1UlKS4e/vn+7nff3jjRo1yihfvrzd78Xhw4dt2e/0fWHAgAHG8OHD032fixcvGvHx8bb3jaFDhxpPPPGE3e9pWFiY4eTkZFfQDMMwkpOTjWrVqtnex1q1amVX9q955plnbB943Vi8b/WzvPb8M6N479+/3yhZsqTt9boTN743/PHHH8YjjzxiXLlyxW65HTt2GAEBAUZqamqG692qVauMevXqGampqXbjqampxtmzZ23ZJ06caDc/bNiwmxbSTp06GW3atEk3vmzZMrv3jpsV7zNnzhh+fn7G6dOn7e5//PhxI3/+/MbFixfv+P3qWp67Kd5NmzY1evbsaVy8eNHYs2ePUbJkSePbb7/N8Lne+Lwp3sDDjV3NAZji+l18/fz8JEn169e3jeXLl09RUVGSpO3btys8PFze3t5yd3e33QICAnT+/Pl0u1Bfs3nzZr344ovpjlls2bKlvLy87jrzr7/+qhdffDHd+I3HbVapUsVu91A/Pz9VrFhRefLkyfD53U3OlStX6tlnn5Wbm5ttLCwszLZLZZcuXWzHBW7btk2SVKdOHRUvXlzHjx+XJO3fv1+nT59W0aJF7V5Pb29vnT171rbr8I02b96s4OBgeXh42I1Xq1ZNpUuXzvA+d2r//v0qVqxYujMl58qVSy1atLAbu3H3cD8/P7t1R0r/+nbs2DHd97yb420LFiyoN998U88++6wWLlyY4TIffPCBevTooY4dO8rLy0s1a9bUyy+/rB49etiWeeaZZ5SSkqLLly9r9uzZCg4OvulJ8TISHBxs93XJkiUVGRkpSRowYIAWL16snj17Kjo6+paPcye7vaalpdn+HR0drdOnT9udV+CaQoUK3fJxjhw5oosXL9qd5Gn//v0qUqRIhmfGvv7xWrdubfd7ERgYaHu+d/q+sGHDhgx//r6+vnJ3d5ck/fTTT/r111/1008/2f2eSv+9xtWrV7cbc3FxUbt27Wy78f7yyy96+eWX032Pl19++aY/31v9LDPTuHHjNGzYsLs67OFGmzZtUnBwcLr3qyeeeEIeHh76559/JKVf7zZs2KAOHTrI2dn+z01nZ2e7E9Hd+Fpdvx5k5Mblr40dOHAg3aEKN9q2bZvq16+vIkWK2I2XKFFCjz32mHbt2nVX71d3Izo6WocOHdLHH38sX19fValSRdOmTdMnn3xyz48J4OFB8QbgcNf+QL7GxcVFbm5u8vT0tI05OzvbHeP3/PPPKyEhId0tOTlZJUuWzPD7ODk52Y4jvJFx3bHM119OZ+3atTfNfacnHbrxD3cXFxflzZvXbuz653cnOa/J6ARV14q3JPXt21dz5sxRQkKCPvjgA73xxhuS/rskz/UfUNSsWTPD1zMpKUlNmjTJMMutcl5z7bjCa7eZM2fecvm7eexrHPn6XtO+fXu73FevXtXOnTvTLVelShWdOXMmw/XmyJEj6T4AqF69un7++ed0j5MrVy61adNG7777rmbOnGk7Bvva7WYfCtx4oiRXV1fbscZ+fn7asWOHypcvr9q1a+vMmTM3fb7e3t52X7u5uSk5OdluLDY21vbv1NRUu3MS3I1rZzO//vcnNTX1js6yf+PzzZkzp92x1XfyvnAn38vf318nT57UwYMH083d6XqZUXHNkSOH3QcY17vVz/JG146nvnYbOnToHWW6naNHj2rnzp165ZVX7utx0tLS5OLikuHc9a/Bjeudo9aDG93PFRzu5LnczfvV3Th27JhKly6tnDlz2sYqV67MiTGBbILiDcDhMvoD9WZ/6EhS7dq1tXXr1nTXMz19+rSGDBly0/s1atRIixcvTveH75o1axQXFydJ6tOnj90ldZ599tmbPl7Dhg0zPKnP119/bff13T6/O8kpSefPn1doaGi6E3yFhYXZLhdUoEABNWvWTKNGjdLevXttW36KFy9uK94VK1ZUeHi4Tp48afc4V65cUe/evW9aFBo1aqRvvvnGLpMk/fnnn/r7778l/Xe5rOtfzz59+tz0eV+vUqVKOnXqlA4cOJAu040fhtzL65vRVurrf25ff/21XW4vLy917NhRR48etbvP7t27Vb58+QzXm8DAQB0+fNhu+b1799r26MiIt7e3nJ2d5eXlZfd4N65T19y4ZfBGLi4uev3119WmTRt99dVXN13uxtewUKFCtj0irrl20izpv1JfoEABrV69Ot1j3W4rbUYfFlWqVEkRERG2kyBe7/oPDG71fO/0faFBgwaaO3duuvtfunTJtvWzfPnyWrp0qdq2bautW7faLXfs2LF011K/9jNq2LChJKlevXp2r9c1S5YssS1zo9v9LK9XoUIFu/Xj/fffv+P73sr48eM1ePBgu6J3Lxo2bKhvv/1WSUlJduN//vmnLl++bNsj5sb1rkGDBvryyy/TfaiTlpZmd3LNu3mtJGW47i9fvlyVKlWy+9A3I3Xq1NGWLVvS7TVy+vRp/f7776pZs+ZdvV/djaJFi+rIkSN2H4Lt379fJUqUuOfHBPDwoHgDsJy/v79eeukltWnTRocOHVJSUpK2bdumZs2a2e3i7OzsbPcHS5s2beTh4aEXX3xRx48f15UrV7R06VKNHTv2nnY1nzBhgkaNGqXZs2crJiZGp06dUv/+/XXs2LH7en53mvObb75R8+bN0/3heP0Wb0kaNGiQJk+erP79+9v+0L32OJcvX5a7u7tGjhyp1q1ba/fu3UpKStLevXv17LPPKn/+/LY/cm98PR9//HHVr19frVq10oEDBxQfH6/169ere/fut93d+HZcXV01ceJEPffcc/rpp58UHx+v/fv3KygoSLlz576vx37rrbe0aNEijR8/XhcuXND58+c1duxYbdq06Zb3GzhwoLp166bjx4/r6tWrmjVrlnbu3HnTrdH9+vXT2LFjtX79eiUkJGjPnj3q1KlTujODS7JdN/nNN99Uhw4d7uv5XTN69Gj98ccfio6O1rZt2+yu3WwYxk0/UJH+O4P722+/rdOnTys2Nlb9+/fXpUuX7JaZNm2aunXrprlz5yo6OlpXr17VggULVKNGDdvvwI3rzNGjRxUVFaXatWvbPZa7u7smTJigoKAgffPNN7p8+bIuXryoDz/8UHXq1En3vTNyp+8Lb7/9tr7++msNGzZMERERSk5O1i+//KJ69erZfZBQp04drVy5Ui+++KLdulGgQAH17t1ba9euVVxcnP7++2+FhISoSJEiat68uaT/3huGDRumL7/8UpcvX9apU6fUr18/hYWFqUuXLrd9Lhm58bV0tBMnTmjjxo3q1q3bXd/3xmw1a9bU448/rrZt2+rIkSOKi4vTunXrFBwcrMmTJ9+0OLdt21ZeXl4KCgrSgQMHlJKSosOHDyskJESjRo26oyzR0dGqV6+e3Ydk58+fV/fu3XXy5EldvnxZX375pfr163fTSy5ez9/fX127dlXLli31559/KiEhQdu3b9czzzyjN954Q3nz5r2r96u7+TkWLlxYNWvWtP3+7du3T4MGDdLrr79+R/cH8HCjeAN4IEycOFHNmzdXy5Yt5e3trV69eumtt95S9+7dbcuULVtWBw8etB1H6OzsrO+++04FCxZU7dq1VahQIX399ddatWrVbbd6ZKRixYpav369li5dqsKFC+uJJ55Q0aJFNWbMmPt6bneac/ny5Rle7ufEiRN2JatcuXLq0KFDuj+orz/Ou3fv3nr99dfVqVMn5c6dWyEhIQoJCbF7LoULF5aLi4vd8epffPGFGjRooGeeeUb58uXTlClTtHDhQhUuXPi2z7NQoUK2XWUzKuqdO3fW+++/r0GDBilPnjx66aWXNGDAAFu5uVeFCxfWr7/+qt27d6tEiRIqX768YmNj9fnnn9/yfr1791aLFi3UuHFj+fn56dtvv9XatWvtjq+/Xrly5TR79mwNGTJEvr6+euGFF9S9e3e99tprtmWu7Yrv6empnj17auzYsQoKCrqv53dNvXr11L59e5UoUUJVq1a1O861Tp068vHx0alTpzK876BBg1ShQgWVL19e5cqVU7FixTRo0CC7ZZo3b67ly5dr7ty58vf3V0BAgFatWqX169fbLntUu3ZtjR8/3lYUli1bppCQkAwP0+jevbs+/PBDjR07Vn5+fipTpoxCQ0O1ZcuWO76E1p28L/j7+2v79u0KCwtTpUqVlCdPHr399tuaMGFCug9RatSooW+//VadO3e2XWM9f/78+uqrrzRz5kzb+QRKlixpdzmyKlWq6LvvvtP8+fNVsGBBValSRfHx8dqwYcM9vddI6V9LR9u7d6+GDx9+0/X5VjJ6b5g3b54ef/xxNWnSRHny5NGwYcM0bdo0vfDCCzd9nBw5cmjt2rUqW7asmjVrply5cik4OFj169fX9OnT7yhLQkKCDh8+bHfptuHDh6t8+fKqX7++/Pz89Omnn2rVqlWqU6fOHT3m2LFj9eKLL6pdu3by9vZWly5d1K9fP7td/O/0/ap+/frq1q2bpkyZckffe968ebp69aoCAwPVrl07jRo1Sk2bNr2j+wJ4uDkZZhzEAgC4K1FRUSpZsqTOnDlzz3/IA5mtWrVq+vjjj1WvXj2ro9yTEydOqGXLlul2KQYAwNHY4g0AD4ALFy7oww8/pHTjoZGYmKiQkBDVrVvX6ii4S9efyO36W/78+a2Olm299957N/25fPTRR1bHA+AAbPEGAADZElu8AQCZheINAAAAAICJ2NUcAAAAAAATUbwBAAAAADARxRsAAAAAABNRvAEAAAAAMBHFGwAAAAAAE1G8AQAAAAAwEcUbAAAAAAATUbwBAAAAADDR/wO7XtX52UV5oQAAAABJRU5ErkJggg==","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["********** meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf **********\n","5\n","meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-234_torch.bfloat16_lf\n","No                       1210\n","Yes                       902\n","Unimportant               746\n","Incorrect questioning      88\n","Correct answer             54\n","Name: count, dtype: int64\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["********** meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf **********\n","5\n","meta-llama/Meta-Llama-3-8B-Instruct/checkpoint-351_torch.bfloat16_lf\n","No                       1589\n","Yes                       895\n","Unimportant               434\n","Incorrect questioning      45\n","Correct answer             37\n","Name: count, dtype: int64\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["for col in df.columns[5:]:\n","    df = clean_up(df, col)\n","    print(\"*\" * 10, col, \"*\" * 10)\n","    print(df[col].nunique())\n","    print(df[col].value_counts())\n","    plot_value_counts(df, col)"]},{"cell_type":"code","execution_count":18,"metadata":{},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score\n","\n","\n","def calc_metrics_for_col(df, col):\n","    y_true = df[\"label\"]\n","    y_pred = df[col]\n","    try:\n","        accuracy = accuracy_score(y_true, y_pred)\n","        precision = precision_score(y_true, y_pred, average=\"weighted\", labels=np.unique(y_pred))\n","        recall = recall_score(y_true, y_pred, average=\"weighted\", labels=np.unique(y_pred))\n","        f1 = f1_score(y_true, y_pred, average=\"weighted\", labels=np.unique(y_pred))\n","    except Exception as e:\n","        print(e)\n","        accuracy = precision = recall = f1 = np.nan\n","\n","    return accuracy, float(precision), float(recall), float(f1)"]},{"cell_type":"code","execution_count":19,"metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/inflaton/anaconda3/envs/logical-reasoning/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1517: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n","/var/folders/7x/56svhln929zdh2xhr3mwqg4r0000gn/T/ipykernel_87776/1887142834.py:18: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n","  perf_df = pd.concat([perf_df, pd.DataFrame([new_model_metrics])], ignore_index=True)\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>epoch</th>\n","      <th>model</th>\n","      <th>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.000000</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct_torch.bflo...</td>\n","      <td>0.063000</td>\n","      <td>0.424390</td>\n","      <td>0.063000</td>\n","      <td>0.076616</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.333333</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.620333</td>\n","      <td>0.663582</td>\n","      <td>0.620333</td>\n","      <td>0.636363</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.666667</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.561333</td>\n","      <td>0.700051</td>\n","      <td>0.561333</td>\n","      <td>0.611304</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1.000000</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.620333</td>\n","      <td>0.681920</td>\n","      <td>0.620333</td>\n","      <td>0.640515</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["      epoch                                              model  accuracy  \\\n","0  0.000000  meta-llama/Meta-Llama-3-8B-Instruct_torch.bflo...  0.063000   \n","1  0.333333  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.620333   \n","2  0.666667  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.561333   \n","3  1.000000  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.620333   \n","\n","   precision    recall        f1  \n","0   0.424390  0.063000  0.076616  \n","1   0.663582  0.620333  0.636363  \n","2   0.700051  0.561333  0.611304  \n","3   0.681920  0.620333  0.640515  "]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["import pandas as pd\n","\n","perf_df = pd.DataFrame(\n","    columns=[\"epoch\", \"model\", \"accuracy\", \"precision\", \"recall\", \"f1\"]\n",")\n","for i, col in enumerate(df.columns[5:]):\n","    accuracy, precision, recall, f1 = calc_metrics_for_col(df, col)\n","    new_model_metrics = {\n","        \"epoch\": i / 3,\n","        \"model\": col,\n","        \"accuracy\": accuracy,\n","        \"precision\": precision,\n","        \"recall\": recall,\n","        \"f1\": f1,\n","    }\n","\n","    # Convert the dictionary to a DataFrame and concatenate it with the existing DataFrame\n","    perf_df = pd.concat([perf_df, pd.DataFrame([new_model_metrics])], ignore_index=True)\n","\n","perf_df"]},{"cell_type":"code","execution_count":20,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# plot metrics for each model\n","import matplotlib.pyplot as plt\n","\n","fig, ax = plt.subplots(1, 1, figsize=(12, 5))\n","\n","perf_df.plot(x=\"epoch\", y=[\"accuracy\", \"precision\", \"recall\", \"f1\"], kind=\"bar\", ax=ax)\n","\n","# add values on top of bars\n","for p in ax.patches:\n","    ax.annotate(\n","        f\"{p.get_height():.3f}\",\n","        (p.get_x() + p.get_width() / 2, p.get_height()),\n","        ha=\"center\",\n","        va=\"bottom\",\n","        fontsize=10,\n","    )\n","\n","# add title and labels\n","# ax.set_title(\"Metrics for different settings\")\n","# ax.set_ylabel(\"Value\")\n","ax.set_xlabel(\"Epoch\")\n","# rotate x labels\n","plt.xticks(rotation=0)\n","\n","# set legend at the right to avoid overlapping with bars\n","plt.legend(loc=\"center left\", bbox_to_anchor=(1.0, 0.5))\n","# plt.tight_layout()\n","\n","plt.show()"]},{"cell_type":"code","execution_count":21,"metadata":{},"outputs":[],"source":["perf_df.to_csv(\"results/mgtv-llama3_p2_en_full_metrics.csv\", index=False)"]}],"metadata":{"accelerator":"GPU","application/vnd.databricks.v1+notebook":{"dashboards":[],"environmentMetadata":null,"language":"python","notebookMetadata":{"pythonIndentUnit":4},"notebookName":"07_MAC_+_Qwen2-7B-Instructi_Unsloth_train","widgets":{}},"colab":{"gpuType":"T4","provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.9"}},"nbformat":4,"nbformat_minor":0}