analytics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This Notebook contains the creation of all plots used in the thesis paper. The first section is concerned with analyzing prompt templates, the second section is concerned with analyzing the results of finetuned student models."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prompt Metadata\n",
    "\n",
    "#### Metadata File to pandas dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Projects\\MasterThesis\\ZeroShot-step-by-step-distillation\\.venv\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "from src.utils import read_yaml\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from matplotlib.colors import Normalize\n",
    "\n",
    "from src.factories import dataLoaderFactory\n",
    "from src.teacher_response_evaluator import TeacherResponseEvaluator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_meta_df(dataset: str) -> pd.DataFrame:\n",
    "    metadata = read_yaml(f\"prompt-metadata/{dataset}.yaml\")\n",
    "\n",
    "    # flatten metadata and convert to dataframe\n",
    "    metadata = {k: {**v['costs'], **v['characteristics'], **v['performance']} for k, v in metadata.items()}\n",
    "    meta_df = pd.DataFrame.from_dict(metadata, orient='index')\n",
    "\n",
    "    # Add PALM FewShot Performance to meta_df\n",
    "    # Load PALM predictions and rationales\n",
    "    \n",
    "    dataset_loader = dataLoaderFactory(dataset)\n",
    "    train_llm_rationales, train_llm_labels = dataset_loader.load_llm_preds(split=\"train\")\n",
    "\n",
    "    parsed_responses = {i: (label, rational) for i, (label, rational) in enumerate(zip(train_llm_labels, train_llm_rationales))}\n",
    "\n",
    "    evaluator = TeacherResponseEvaluator(dataset)\n",
    "\n",
    "    label_eval = evaluator.get_label_accuracy(split=\"train\", parsed_responses=parsed_responses)\n",
    "    rationale_eval = evaluator.get_explanation_characteristics(parsed_responses=parsed_responses)\n",
    "\n",
    "    palm_eval = {\"accuracy\": label_eval[0],\n",
    "             \"n_correct\": label_eval[1],\n",
    "             \"n_wrong\": label_eval[2],\n",
    "             \"n_none_responses\": rationale_eval[0],\n",
    "             \"total_responses\": rationale_eval[1],\n",
    "             \"total_length_of_explanations\": rationale_eval[2],\n",
    "             \"total_number_of_sentences\": rationale_eval[3],\n",
    "             \"total_number_of_words\": rationale_eval[4],\n",
    "             \"flesch_reading_ease\": rationale_eval[5],\n",
    "             \"variance_length_of_explanations\": rationale_eval[6],\n",
    "             \"avg_len_of_explanations\": rationale_eval[2] / rationale_eval[1],\n",
    "             \"avg_nr_of_sentences\": rationale_eval[3] / rationale_eval[1],\n",
    "             \"avg_nr_of_words\": rationale_eval[4] / rationale_eval[1],\n",
    "             \"n_parse_errors\": 0,\n",
    "             \"avg_cost_per_query\": 0.0033 if dataset == \"anli1\" else 0.00183,\n",
    "             }\n",
    "    \n",
    "    # insert PALM evaluation into metadata dataframe with index 0\n",
    "    meta_df = pd.concat([pd.DataFrame(palm_eval, index=[0]), meta_df])\n",
    "\n",
    "    # add column with explanation rate = total responses / (n_correct + n_wrong)\n",
    "    meta_df[\"explanation_rate\"] = meta_df[\"total_responses\"] / (meta_df[\"n_correct\"] + meta_df[\"n_wrong\"])\n",
    "    meta_df[\"sd_length_of_explanations\"] = meta_df[\"variance_length_of_explanations\"] ** 0.5\n",
    "    meta_df[\"avg_len_of_words\"] = meta_df[\"total_length_of_explanations\"] / meta_df[\"total_number_of_words\"]\n",
    "    meta_df[\"cost_to_data\"] = meta_df[\"avg_cost_per_query\"] * 16946 if dataset == \"anli1\" else meta_df[\"avg_cost_per_query\"] * 8766\n",
    "\n",
    "    return meta_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Check GPT35 performance on validation set\n",
    "# evaluator = TeacherResponseEvaluator(\"anli1\")\n",
    "# dataset_loader = dataLoaderFactory(\"anli1\")\n",
    "\n",
    "# test_gpt35_rationales, test_gpt35_labels = dataset_loader.load_gpt35_preds(split=\"valid\", prompt_mix_id=6)\n",
    "# parsed_responses_gpt35 = {i: (label, rational) for i, (label, rational) in enumerate(zip(test_gpt35_labels, test_gpt35_rationales))}\n",
    "# evaluator.get_label_accuracy(split=\"valid\", parsed_responses=parsed_responses_gpt35)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>accuracy</th>\n",
       "      <th>n_correct</th>\n",
       "      <th>n_wrong</th>\n",
       "      <th>n_none_responses</th>\n",
       "      <th>total_responses</th>\n",
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       "      <th>variance_length_of_explanations</th>\n",
       "      <th>...</th>\n",
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       "      <th>total_performed_queries</th>\n",
       "      <th>total_tokens_received</th>\n",
       "      <th>total_tokens_sent</th>\n",
       "      <th>explanation_rate</th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.592000</td>\n",
       "      <td>74</td>\n",
       "      <td>51</td>\n",
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       "      <td>2583</td>\n",
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       "      <td>125.28</td>\n",
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       "      <td>125.0</td>\n",
       "      <td>3760.0</td>\n",
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       "      <td>1.00</td>\n",
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       "    <tr>\n",
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       "      <td>68</td>\n",
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       "      <td>125</td>\n",
       "      <td>21123</td>\n",
       "      <td>137</td>\n",
       "      <td>3396</td>\n",
       "      <td>40.80000</td>\n",
       "      <td>2083.536000</td>\n",
       "      <td>...</td>\n",
       "      <td>40.82</td>\n",
       "      <td>215.10</td>\n",
       "      <td>0.041242</td>\n",
       "      <td>125.0</td>\n",
       "      <td>5103.0</td>\n",
       "      <td>26887.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>45.645767</td>\n",
       "      <td>6.219965</td>\n",
       "      <td>5.59218</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.576000</td>\n",
       "      <td>72</td>\n",
       "      <td>53</td>\n",
       "      <td>125</td>\n",
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       "      <td>2.78</td>\n",
       "      <td>123.28</td>\n",
       "      <td>0.019296</td>\n",
       "      <td>125.0</td>\n",
       "      <td>347.0</td>\n",
       "      <td>15410.0</td>\n",
       "      <td>0.00</td>\n",
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       "      <td>20</td>\n",
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       "      <td>140</td>\n",
       "      <td>2580</td>\n",
       "      <td>46.50000</td>\n",
       "      <td>27909.496000</td>\n",
       "      <td>...</td>\n",
       "      <td>89.04</td>\n",
       "      <td>126.84</td>\n",
       "      <td>0.018417</td>\n",
       "      <td>50.0</td>\n",
       "      <td>4452.0</td>\n",
       "      <td>6342.0</td>\n",
       "      <td>0.96</td>\n",
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       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   accuracy  n_correct  n_wrong  n_none_responses  total_responses  \\\n",
       "0  0.709076      12016     4930                 0            16946   \n",
       "1  0.592000         74       51                 0              125   \n",
       "2  0.456000         57       68                 0              125   \n",
       "3  0.576000         72       53               125                0   \n",
       "4  0.600000         30       20                 2               48   \n",
       "\n",
       "   total_length_of_explanations  total_number_of_sentences  \\\n",
       "0                       1925445                      25264   \n",
       "1                         15470                        130   \n",
       "2                         21123                        137   \n",
       "3                             0                          0   \n",
       "4                         15915                        140   \n",
       "\n",
       "   total_number_of_words  flesch_reading_ease  \\\n",
       "0                 326230             63.22534   \n",
       "1                   2583             47.30000   \n",
       "2                   3396             40.80000   \n",
       "3                      0              0.00000   \n",
       "4                   2580             46.50000   \n",
       "\n",
       "   variance_length_of_explanations  ...  avg_nr_tokens_received  \\\n",
       "0                      2689.366852  ...                     NaN   \n",
       "1                      1687.254000  ...                   30.08   \n",
       "2                      2083.536000  ...                   40.82   \n",
       "3                              NaN  ...                    2.78   \n",
       "4                     27909.496000  ...                   89.04   \n",
       "\n",
       "   avg_nr_tokens_sent  total_accumulated_costs  total_performed_queries  \\\n",
       "0                 NaN                      NaN                      NaN   \n",
       "1              125.28                 0.025320                    125.0   \n",
       "2              215.10                 0.041242                    125.0   \n",
       "3              123.28                 0.019296                    125.0   \n",
       "4              126.84                 0.018417                     50.0   \n",
       "\n",
       "   total_tokens_received  total_tokens_sent  explanation_rate  \\\n",
       "0                    NaN                NaN              1.00   \n",
       "1                 3760.0            15660.0              1.00   \n",
       "2                 5103.0            26887.0              1.00   \n",
       "3                  347.0            15410.0              0.00   \n",
       "4                 4452.0             6342.0              0.96   \n",
       "\n",
       "   sd_length_of_explanations  avg_len_of_words  cost_to_data  \n",
       "0                  51.859106          5.902109      55.92180  \n",
       "1                  41.076197          5.989160       3.38920  \n",
       "2                  45.645767          6.219965       5.59218  \n",
       "3                        NaN               NaN       2.54190  \n",
       "4                 167.061354          6.168605       6.27002  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta_df = get_meta_df(\"anli1\") # \"anli1\" or \"cqa\"\n",
    "meta_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>accuracy</th>\n",
       "      <th>n_correct</th>\n",
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       "      <th>n_none_responses</th>\n",
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       "      <th>avg_nr_tokens_sent</th>\n",
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       "      <th>1000</th>\n",
       "      <td>0.999600</td>\n",
       "      <td>8470</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>8473</td>\n",
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       "      <td>46.80000</td>\n",
       "      <td>7083.481000</td>\n",
       "      <td>446.360000</td>\n",
       "      <td>3.720000</td>\n",
       "      <td>74.050000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00200</td>\n",
       "      <td>93.98</td>\n",
       "      <td>1204.90</td>\n",
       "      <td>18.951492</td>\n",
       "      <td>9498.0</td>\n",
       "      <td>892644.0</td>\n",
       "      <td>11444136.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>84.163418</td>\n",
       "      <td>6.028241</td>\n",
       "      <td>33.89200</td>\n",
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       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>0.995200</td>\n",
       "      <td>16865</td>\n",
       "      <td>81</td>\n",
       "      <td>170</td>\n",
       "      <td>16776</td>\n",
       "      <td>2286972</td>\n",
       "      <td>16893</td>\n",
       "      <td>387546</td>\n",
       "      <td>47.30000</td>\n",
       "      <td>1513.236000</td>\n",
       "      <td>136.320000</td>\n",
       "      <td>1.010000</td>\n",
       "      <td>23.100000</td>\n",
       "      <td>81</td>\n",
       "      <td>0.00030</td>\n",
       "      <td>39.89</td>\n",
       "      <td>145.82</td>\n",
       "      <td>5.356910</td>\n",
       "      <td>17946.0</td>\n",
       "      <td>715838.0</td>\n",
       "      <td>2616823.0</td>\n",
       "      <td>0.989968</td>\n",
       "      <td>38.900334</td>\n",
       "      <td>5.901163</td>\n",
       "      <td>5.08380</td>\n",
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       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>0.709800</td>\n",
       "      <td>12028</td>\n",
       "      <td>4918</td>\n",
       "      <td>2173</td>\n",
       "      <td>14773</td>\n",
       "      <td>3069997</td>\n",
       "      <td>24926</td>\n",
       "      <td>500537</td>\n",
       "      <td>43.10000</td>\n",
       "      <td>14076.337000</td>\n",
       "      <td>207.810000</td>\n",
       "      <td>1.690000</td>\n",
       "      <td>33.880000</td>\n",
       "      <td>45</td>\n",
       "      <td>0.00030</td>\n",
       "      <td>60.61</td>\n",
       "      <td>119.99</td>\n",
       "      <td>5.650959</td>\n",
       "      <td>18761.0</td>\n",
       "      <td>1137078.0</td>\n",
       "      <td>2251202.0</td>\n",
       "      <td>0.871769</td>\n",
       "      <td>118.643740</td>\n",
       "      <td>6.133407</td>\n",
       "      <td>5.08380</td>\n",
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       "      <th>0</th>\n",
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       "      <td>16946</td>\n",
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       "      <td>1.490853</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.00330</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>32</th>\n",
       "      <td>0.678300</td>\n",
       "      <td>78</td>\n",
       "      <td>37</td>\n",
       "      <td>20</td>\n",
       "      <td>95</td>\n",
       "      <td>16724</td>\n",
       "      <td>151</td>\n",
       "      <td>2739</td>\n",
       "      <td>51.00000</td>\n",
       "      <td>9259.830000</td>\n",
       "      <td>176.040000</td>\n",
       "      <td>1.590000</td>\n",
       "      <td>28.830000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00032</td>\n",
       "      <td>64.24</td>\n",
       "      <td>130.17</td>\n",
       "      <td>0.037231</td>\n",
       "      <td>115.0</td>\n",
       "      <td>7388.0</td>\n",
       "      <td>14970.0</td>\n",
       "      <td>0.826087</td>\n",
       "      <td>96.228010</td>\n",
       "      <td>6.105878</td>\n",
       "      <td>5.42272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.660000</td>\n",
       "      <td>33</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>33</td>\n",
       "      <td>5441</td>\n",
       "      <td>42</td>\n",
       "      <td>878</td>\n",
       "      <td>40.40000</td>\n",
       "      <td>4813.622000</td>\n",
       "      <td>164.880000</td>\n",
       "      <td>1.270000</td>\n",
       "      <td>26.610000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00027</td>\n",
       "      <td>31.92</td>\n",
       "      <td>134.80</td>\n",
       "      <td>0.013302</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1596.0</td>\n",
       "      <td>6740.0</td>\n",
       "      <td>0.660000</td>\n",
       "      <td>69.380271</td>\n",
       "      <td>6.197039</td>\n",
       "      <td>4.57542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>0.660000</td>\n",
       "      <td>33</td>\n",
       "      <td>17</td>\n",
       "      <td>34</td>\n",
       "      <td>16</td>\n",
       "      <td>2825</td>\n",
       "      <td>22</td>\n",
       "      <td>461</td>\n",
       "      <td>47.00000</td>\n",
       "      <td>15896.996000</td>\n",
       "      <td>176.560000</td>\n",
       "      <td>1.380000</td>\n",
       "      <td>28.810000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00026</td>\n",
       "      <td>24.02</td>\n",
       "      <td>139.76</td>\n",
       "      <td>0.012884</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1201.0</td>\n",
       "      <td>6988.0</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>126.083290</td>\n",
       "      <td>6.127983</td>\n",
       "      <td>4.40596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>0.640000</td>\n",
       "      <td>32</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>32</td>\n",
       "      <td>4467</td>\n",
       "      <td>49</td>\n",
       "      <td>729</td>\n",
       "      <td>52.40000</td>\n",
       "      <td>7051.679000</td>\n",
       "      <td>139.590000</td>\n",
       "      <td>1.530000</td>\n",
       "      <td>22.780000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00031</td>\n",
       "      <td>52.00</td>\n",
       "      <td>140.14</td>\n",
       "      <td>0.015710</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2600.0</td>\n",
       "      <td>7007.0</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>83.974276</td>\n",
       "      <td>6.127572</td>\n",
       "      <td>5.25326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>0.640000</td>\n",
       "      <td>32</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>38</td>\n",
       "      <td>6087</td>\n",
       "      <td>51</td>\n",
       "      <td>995</td>\n",
       "      <td>46.80000</td>\n",
       "      <td>6441.098000</td>\n",
       "      <td>160.180000</td>\n",
       "      <td>1.340000</td>\n",
       "      <td>26.180000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00030</td>\n",
       "      <td>47.10</td>\n",
       "      <td>135.12</td>\n",
       "      <td>0.014844</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2355.0</td>\n",
       "      <td>6756.0</td>\n",
       "      <td>0.760000</td>\n",
       "      <td>80.256451</td>\n",
       "      <td>6.117588</td>\n",
       "      <td>5.08380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>0.640000</td>\n",
       "      <td>32</td>\n",
       "      <td>18</td>\n",
       "      <td>31</td>\n",
       "      <td>19</td>\n",
       "      <td>2353</td>\n",
       "      <td>26</td>\n",
       "      <td>381</td>\n",
       "      <td>50.10000</td>\n",
       "      <td>9929.922000</td>\n",
       "      <td>123.840000</td>\n",
       "      <td>1.370000</td>\n",
       "      <td>20.050000</td>\n",
       "      <td>6</td>\n",
       "      <td>0.00029</td>\n",
       "      <td>46.04</td>\n",
       "      <td>134.64</td>\n",
       "      <td>0.014702</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2302.0</td>\n",
       "      <td>6732.0</td>\n",
       "      <td>0.380000</td>\n",
       "      <td>99.648994</td>\n",
       "      <td>6.175853</td>\n",
       "      <td>4.91434</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      accuracy  n_correct  n_wrong  n_none_responses  total_responses  \\\n",
       "1000  0.999600       8470        3                 0             8473   \n",
       "179   0.995200      16865       81               170            16776   \n",
       "100   0.709800      12028     4918              2173            14773   \n",
       "0     0.709076      12016     4930                 0            16946   \n",
       "32    0.678300         78       37                20               95   \n",
       "28    0.660000         33       17                17               33   \n",
       "149   0.660000         33       17                34               16   \n",
       "134   0.640000         32       18                18               32   \n",
       "58    0.640000         32       18                12               38   \n",
       "163   0.640000         32       18                31               19   \n",
       "\n",
       "      total_length_of_explanations  total_number_of_sentences  \\\n",
       "1000                       3782034                      31511   \n",
       "179                        2286972                      16893   \n",
       "100                        3069997                      24926   \n",
       "0                          1925445                      25264   \n",
       "32                           16724                        151   \n",
       "28                            5441                         42   \n",
       "149                           2825                         22   \n",
       "134                           4467                         49   \n",
       "58                            6087                         51   \n",
       "163                           2353                         26   \n",
       "\n",
       "      total_number_of_words  flesch_reading_ease  \\\n",
       "1000                 627386             46.80000   \n",
       "179                  387546             47.30000   \n",
       "100                  500537             43.10000   \n",
       "0                    326230             63.22534   \n",
       "32                     2739             51.00000   \n",
       "28                      878             40.40000   \n",
       "149                     461             47.00000   \n",
       "134                     729             52.40000   \n",
       "58                      995             46.80000   \n",
       "163                     381             50.10000   \n",
       "\n",
       "      variance_length_of_explanations  avg_len_of_explanations  \\\n",
       "1000                      7083.481000               446.360000   \n",
       "179                       1513.236000               136.320000   \n",
       "100                      14076.337000               207.810000   \n",
       "0                         2689.366852               113.622389   \n",
       "32                        9259.830000               176.040000   \n",
       "28                        4813.622000               164.880000   \n",
       "149                      15896.996000               176.560000   \n",
       "134                       7051.679000               139.590000   \n",
       "58                        6441.098000               160.180000   \n",
       "163                       9929.922000               123.840000   \n",
       "\n",
       "      avg_nr_of_sentences  avg_nr_of_words  n_parse_errors  \\\n",
       "1000             3.720000        74.050000               0   \n",
       "179              1.010000        23.100000              81   \n",
       "100              1.690000        33.880000              45   \n",
       "0                1.490853        19.251151               0   \n",
       "32               1.590000        28.830000               0   \n",
       "28               1.270000        26.610000               0   \n",
       "149              1.380000        28.810000               0   \n",
       "134              1.530000        22.780000               0   \n",
       "58               1.340000        26.180000               0   \n",
       "163              1.370000        20.050000               6   \n",
       "\n",
       "      avg_cost_per_query  avg_nr_tokens_received  avg_nr_tokens_sent  \\\n",
       "1000             0.00200                   93.98             1204.90   \n",
       "179              0.00030                   39.89              145.82   \n",
       "100              0.00030                   60.61              119.99   \n",
       "0                0.00330                     NaN                 NaN   \n",
       "32               0.00032                   64.24              130.17   \n",
       "28               0.00027                   31.92              134.80   \n",
       "149              0.00026                   24.02              139.76   \n",
       "134              0.00031                   52.00              140.14   \n",
       "58               0.00030                   47.10              135.12   \n",
       "163              0.00029                   46.04              134.64   \n",
       "\n",
       "      total_accumulated_costs  total_performed_queries  total_tokens_received  \\\n",
       "1000                18.951492                   9498.0               892644.0   \n",
       "179                  5.356910                  17946.0               715838.0   \n",
       "100                  5.650959                  18761.0              1137078.0   \n",
       "0                         NaN                      NaN                    NaN   \n",
       "32                   0.037231                    115.0                 7388.0   \n",
       "28                   0.013302                     50.0                 1596.0   \n",
       "149                  0.012884                     50.0                 1201.0   \n",
       "134                  0.015710                     50.0                 2600.0   \n",
       "58                   0.014844                     50.0                 2355.0   \n",
       "163                  0.014702                     50.0                 2302.0   \n",
       "\n",
       "      total_tokens_sent  explanation_rate  sd_length_of_explanations  \\\n",
       "1000         11444136.0          1.000000                  84.163418   \n",
       "179           2616823.0          0.989968                  38.900334   \n",
       "100           2251202.0          0.871769                 118.643740   \n",
       "0                   NaN          1.000000                  51.859106   \n",
       "32              14970.0          0.826087                  96.228010   \n",
       "28               6740.0          0.660000                  69.380271   \n",
       "149              6988.0          0.320000                 126.083290   \n",
       "134              7007.0          0.640000                  83.974276   \n",
       "58               6756.0          0.760000                  80.256451   \n",
       "163              6732.0          0.380000                  99.648994   \n",
       "\n",
       "      avg_len_of_words  cost_to_data  \n",
       "1000          6.028241      33.89200  \n",
       "179           5.901163       5.08380  \n",
       "100           6.133407       5.08380  \n",
       "0             5.902109      55.92180  \n",
       "32            6.105878       5.42272  \n",
       "28            6.197039       4.57542  \n",
       "149           6.127983       4.40596  \n",
       "134           6.127572       5.25326  \n",
       "58            6.117588       5.08380  \n",
       "163           6.175853       4.91434  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort meta_df by accuracy\n",
    "pd.set_option('display.max_columns', None)\n",
    "meta_df.sort_values(by=[\"accuracy\"], ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'SD of Length of Explanations')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x100 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# histograms of: flesh reading ease, avg_nr_of_sentences, avg_nr_of_words, variance_length_of_explanations\n",
    "fig, (ax1, ax2, ax3, ax4) = plt.subplots(1, 4, figsize=(15, 1))\n",
    "ax1.hist(meta_df[meta_df[\"total_responses\"] >= 5][\"flesch_reading_ease\"], bins=30)\n",
    "ax1.set_title(\"Flesch Reading Ease\")\n",
    "ax2.hist(meta_df[meta_df[\"total_responses\"] >= 5][\"avg_nr_of_words\"], bins=30)\n",
    "ax2.set_title(\"Average Number of Words\")\n",
    "ax3.hist(meta_df[\"explanation_rate\"], bins=30)\n",
    "ax3.set_title(\"Explanation Rate\")\n",
    "ax4.hist(meta_df[meta_df[\"total_responses\"] >= 5][\"sd_length_of_explanations\"], bins=30)\n",
    "ax4.set_title(\"SD of Length of Explanations\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'Teacher Accuracy versus Explanation Rate and Style')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2, ax3, ax4) = plt.subplots(1, 4, figsize=(15, 3))\n",
    "\n",
    "#reg_meta_df = meta_df[meta_df[\"total_responses\"] >= 5].drop([0, 179, 1000], axis=0)\n",
    "reg_meta_df = meta_df[meta_df[\"total_responses\"] >= 5].drop([0], axis=0)\n",
    "\n",
    "meta_df.plot.scatter(x=\"flesch_reading_ease\", y=\"accuracy\", title=\"Flesch Reading Ease\", ax=ax1)\n",
    "slope, intercept = np.polyfit(reg_meta_df[\"flesch_reading_ease\"], reg_meta_df[\"accuracy\"], 1)\n",
    "ax1.plot(meta_df[\"flesch_reading_ease\"], slope*meta_df[\"flesch_reading_ease\"] + intercept, color='red')\n",
    "\n",
    "meta_df.plot.scatter(x=\"avg_nr_of_words\", y=\"accuracy\", title=\"Word Count\", ax=ax2)\n",
    "slope, intercept = np.polyfit(reg_meta_df[\"avg_nr_of_words\"], reg_meta_df[\"accuracy\"], 1)\n",
    "ax2.plot(meta_df[\"avg_nr_of_words\"], slope*meta_df[\"avg_nr_of_words\"] + intercept, color='red')\n",
    "\n",
    "meta_df.plot.scatter(x=\"explanation_rate\", y=\"accuracy\", title=\"Explanation Rate\", ax=ax3)\n",
    "slope, intercept = np.polyfit(reg_meta_df[\"explanation_rate\"], reg_meta_df[\"accuracy\"], 1)\n",
    "ax3.plot(meta_df[\"explanation_rate\"], slope*meta_df[\"explanation_rate\"] + intercept, color='red')\n",
    "\n",
    "meta_df.plot.scatter(x=\"sd_length_of_explanations\", y=\"accuracy\", title=\"SD of Length of Explanations\", ax=ax4)\n",
    "slope, intercept = np.polyfit(reg_meta_df[\"sd_length_of_explanations\"], reg_meta_df[\"accuracy\"], 1)\n",
    "ax4.plot(meta_df[\"sd_length_of_explanations\"], slope*meta_df[\"sd_length_of_explanations\"] + intercept, color='red')\n",
    "\n",
    "#HIGHLIGHTS = [(0, \"orange\", \"FewShot PALM\"), (100, \"green\", \"ZeroShot GPT35\"), (179, \"red\", \"ZeroShot GPT35 Label Given\"), (1000, \"brown\", \"FewShot GPT35 Label Given LONG\")]\n",
    "HIGHLIGHTS = [(0, \"orange\", \"FewShot PALM\"), (3, \"green\", \"ZeroShot GPT35\")]\n",
    "\n",
    "\n",
    "for HL  in HIGHLIGHTS:\n",
    "    ax1.scatter(meta_df.loc[HL[0]]['flesch_reading_ease'], meta_df.loc[HL[0]]['accuracy'], color=HL[1], label=HL[2])\n",
    "    ax2.scatter(meta_df.loc[HL[0]]['avg_nr_of_words'], meta_df.loc[HL[0]]['accuracy'], color=HL[1], label=HL[2])\n",
    "    ax3.scatter(meta_df.loc[HL[0]]['explanation_rate'], meta_df.loc[HL[0]]['accuracy'], color=HL[1], label=HL[2])\n",
    "    ax4.scatter(meta_df.loc[HL[0]]['sd_length_of_explanations'], meta_df.loc[HL[0]]['accuracy'], color=HL[1], label=HL[2])\n",
    "\n",
    "#ax1.axhline(y=meta_df.iloc[0]['accuracy'], color='red', linestyle='-', lw=0.5)\n",
    "\n",
    "ax1.set_ylabel(\"Teacher Accuracy\")\n",
    "ax1.set_xlabel(\"Flesch Reading Ease\")\n",
    "ax2.set_ylabel(\"\")\n",
    "ax2.set_xlabel(\"Avg. Number of Words\")\n",
    "ax3.set_ylabel(\"\")\n",
    "ax3.set_xlabel(\"Explanation Rate\")\n",
    "ax4.set_ylabel(\"\")\n",
    "ax4.set_xlabel(\"SD of Length of Explanations\")\n",
    "ax1.legend(bbox_to_anchor=(0.65, -0.2), loc='upper center', ncol=4, fancybox=False)\n",
    "\n",
    "plt.suptitle('Teacher Accuracy versus Explanation Rate and Style', y=1.05, fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Good prompts, that deliver the most accurate results, seem to produce short (between 20 and 30 words), high FRE (above 45) explanations.\n",
    "\n",
    "There seem to be the following tendencies:\n",
    " - The lower the FRE, the lower the accuracy. So complicated explanations are not good for the prediction.\n",
    " - The longer the explanation, the lower the accuracy. So long explanations are not good for the prediction.\n",
    " - However, very short explanations (< 20 words) are also not good for the prediction."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Costs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Estimate OPRO costs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "avg_cost_per_query = meta_df.drop([0, 179, 1000], axis=0)[\"avg_cost_per_query\"].mean()      # for anli1\n",
    "#avg_cost_per_query = meta_df.drop([0], axis=0)[\"avg_cost_per_query\"].mean()                # for cqa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00029662921348314606"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_cost_per_query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 22 rounds, 8 prompts per round, 25 test_size per prompt per round + 22 rounds * 8 queries of the meta prompt\n",
    "opro_costs = avg_cost_per_query * 22 * 8 * 25 + 22 * 8 * 0.002"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.6571685393258426"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "opro_costs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Total Cost to Data - ANLI1')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot cost_to_data of index 0 and 179 as bar chart with value on top\n",
    "fig, ax = plt.subplots(figsize=(4, 5))\n",
    "bars = ax.bar(x=[\"Few Shot PALM\", \"Zero Shot GPT35\"], height=[0, opro_costs + meta_df.iloc[100]['cost_to_data']], color=\"lightblue\")\n",
    "for bar in bars:\n",
    "    if bar.get_height() == 0:\n",
    "        continue\n",
    "    ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() - 0, f\"${opro_costs:.2f} OPRO\", ha='center', va='bottom', fontsize=11)\n",
    "    #ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() - 0.5, f\"OPRO\", ha='center', va='bottom', fontsize=9)\n",
    "\n",
    "color = ['orange', 'green']\n",
    "bars = ax.bar(x=[\"Few Shot PALM\", \"Zero Shot GPT35\"], height=[meta_df.iloc[0]['cost_to_data'], meta_df.iloc[100]['cost_to_data']], color=color)\n",
    "for bar in bars:\n",
    "    yval = bar.get_height()\n",
    "    ax.text(bar.get_x() + bar.get_width()/2, yval - 3, f\"${yval:.2f}\", ha='center', va='bottom', fontsize=11)\n",
    "ax.set_ylabel(\"US Dollars\")\n",
    "ax.set_title(\"Total Cost to Data - ANLI1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x19f963be220>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meta_df[\"max_accuracy\"] = meta_df.drop([0, 179, 1000], axis=0)[\"accuracy\"].cummax()\n",
    "#meta_df[\"max_accuracy\"] = meta_df.drop([0], axis=0)[\"accuracy\"].cummax()\n",
    "meta_df.plot.line(y=\"max_accuracy\", title=\"Max Accuracy vs. Steps\")\n",
    "\n",
    "# plot a red point at index 100\n",
    "plt.scatter(1, meta_df.loc[1]['max_accuracy'], color='red')\n",
    "plt.scatter(22, meta_df.loc[22]['max_accuracy'], color='red')\n",
    "plt.scatter(32, meta_df.loc[32]['max_accuracy'], color='red')\n",
    "plt.scatter(100, meta_df.loc[100]['max_accuracy'], color='red')\n",
    "\n",
    "#plt.scatter(1, meta_df.loc[1]['max_accuracy'], color='red')\n",
    "#plt.scatter(3, meta_df.loc[3]['max_accuracy'], color='red')\n",
    "#plt.scatter(6, meta_df.loc[6]['max_accuracy'], color='red')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>experiment_group</th>\n",
       "      <th>category</th>\n",
       "      <th>dataset</th>\n",
       "      <th>model</th>\n",
       "      <th>mode</th>\n",
       "      <th>llm</th>\n",
       "      <th>subsample</th>\n",
       "      <th>prompt_mix</th>\n",
       "      <th>label_type</th>\n",
       "      <th>alpha</th>\n",
       "      <th>max_input_length</th>\n",
       "      <th>batch_size</th>\n",
       "      <th>optimizer</th>\n",
       "      <th>lr</th>\n",
       "      <th>run</th>\n",
       "      <th>train_duration</th>\n",
       "      <th>train_steps</th>\n",
       "      <th>test_acc</th>\n",
       "      <th>eval_acc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Subsampling ANLI1</td>\n",
       "      <td>standard Finetuning</td>\n",
       "      <td>anli1</td>\n",
       "      <td>t5-v1_1-base</td>\n",
       "      <td>standard</td>\n",
       "      <td>None</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0</td>\n",
       "      <td>gt</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1024</td>\n",
       "      <td>64</td>\n",
       "      <td>AdamW</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0</td>\n",
       "      <td>2528.0</td>\n",
       "      <td>3750</td>\n",
       "      <td>0.349</td>\n",
       "      <td>0.347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Subsampling ANLI1</td>\n",
       "      <td>standard Finetuning</td>\n",
       "      <td>anli1</td>\n",
       "      <td>t5-v1_1-base</td>\n",
       "      <td>standard</td>\n",
       "      <td>None</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0</td>\n",
       "      <td>gt</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1024</td>\n",
       "      <td>64</td>\n",
       "      <td>AdamW</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0</td>\n",
       "      <td>3738.0</td>\n",
       "      <td>5500</td>\n",
       "      <td>0.434</td>\n",
       "      <td>0.403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Subsampling ANLI1</td>\n",
       "      <td>standard Finetuning</td>\n",
       "      <td>anli1</td>\n",
       "      <td>t5-v1_1-base</td>\n",
       "      <td>standard</td>\n",
       "      <td>None</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0</td>\n",
       "      <td>gt</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1024</td>\n",
       "      <td>64</td>\n",
       "      <td>AdamW</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0</td>\n",
       "      <td>8497.0</td>\n",
       "      <td>9500</td>\n",
       "      <td>0.346</td>\n",
       "      <td>0.342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Subsampling ANLI1</td>\n",
       "      <td>standard Finetuning</td>\n",
       "      <td>anli1</td>\n",
       "      <td>t5-v1_1-base</td>\n",
       "      <td>standard</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0</td>\n",
       "      <td>gt</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1024</td>\n",
       "      <td>64</td>\n",
       "      <td>AdamW</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0</td>\n",
       "      <td>5848.0</td>\n",
       "      <td>6500</td>\n",
       "      <td>0.341</td>\n",
       "      <td>0.334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>HSIEH ET AL Subsampling ANLI1</td>\n",
       "      <td>standard Finetuning</td>\n",
       "      <td>anli1</td>\n",
       "      <td>t5-v1_1-base</td>\n",
       "      <td>standard</td>\n",
       "      <td>None</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0</td>\n",
       "      <td>gt</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1024</td>\n",
       "      <td>64</td>\n",
       "      <td>AdamW</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>100</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>3750</td>\n",
       "      <td>0.349</td>\n",
       "      <td>0.347</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                experiment_group             category dataset         model  \\\n",
       "0              Subsampling ANLI1  standard Finetuning   anli1  t5-v1_1-base   \n",
       "1              Subsampling ANLI1  standard Finetuning   anli1  t5-v1_1-base   \n",
       "2              Subsampling ANLI1  standard Finetuning   anli1  t5-v1_1-base   \n",
       "3              Subsampling ANLI1  standard Finetuning   anli1  t5-v1_1-base   \n",
       "4  HSIEH ET AL Subsampling ANLI1  standard Finetuning   anli1  t5-v1_1-base   \n",
       "\n",
       "       mode   llm  subsample  prompt_mix label_type  alpha  max_input_length  \\\n",
       "0  standard  None      0.125           0         gt    0.5              1024   \n",
       "1  standard  None      0.250           0         gt    0.5              1024   \n",
       "2  standard  None      0.500           0         gt    0.5              1024   \n",
       "3  standard  None      1.000           0         gt    0.5              1024   \n",
       "4  standard  None      0.125           0         gt    0.5              1024   \n",
       "\n",
       "   batch_size optimizer       lr  run  train_duration  train_steps  test_acc  \\\n",
       "0          64     AdamW  0.00005    0          2528.0         3750     0.349   \n",
       "1          64     AdamW  0.00005    0          3738.0         5500     0.434   \n",
       "2          64     AdamW  0.00005    0          8497.0         9500     0.346   \n",
       "3          64     AdamW  0.00005    0          5848.0         6500     0.341   \n",
       "4          64     AdamW  0.00005  100         10000.0         3750     0.349   \n",
       "\n",
       "   eval_acc  \n",
       "0     0.347  \n",
       "1     0.403  \n",
       "2     0.342  \n",
       "3     0.334  \n",
       "4     0.347  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "experiments = pd.read_csv('experiment-tracking/experiment_tracking.csv')\n",
    "experiments[\"llm\"] = experiments[\"llm\"].fillna(\"None\")\n",
    "\n",
    "######### Toggle Manual Corrections to Hsieh et al. results for experiments that did not converge ###########\n",
    "#                                                                                                           #\n",
    "# experiments_data = experiments_data[~experiments_data[\"experiment_group\"].str.contains(\"HSIEH ET AL\")]    #\n",
    "#                                                                                                           #\n",
    "#############################################################################################################\n",
    "\n",
    "experiments.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Subsampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def subsampling_graph(experiments_data: pd.DataFrame, dataset: str, labels: bool, prompt_mix: int, distill_labels: str = None):\n",
    "    experiments_data = experiments_data.query(\"dataset == @dataset and model == 't5-v1_1-base' and prompt_mix in [0, @prompt_mix]\")\n",
    "    if labels:\n",
    "        experiments_data = experiments_data.query(\"label_type == 'gt'\")\n",
    "    else:\n",
    "        experiments_data = experiments_data.query(\"label_type == 'llm'\")\n",
    "\n",
    "    # group over runs and add mean and standard error over top 3 runs\n",
    "    experiments_data = experiments_data.groupby([\"dataset\", \"model\", \"mode\", \"llm\", \"subsample\", \"prompt_mix\", \"label_type\"]).apply(\n",
    "        lambda group: group.nlargest(3, \"eval_acc\")).reset_index(drop=True).groupby(\n",
    "            [\"dataset\", \"model\", \"mode\", \"llm\", \"subsample\", \"prompt_mix\", \"label_type\"]).agg(\n",
    "                {\"train_duration\": [\"mean\", \"std\"],\n",
    "                \"train_steps\": [\"mean\", \"std\"],\n",
    "                \"test_acc\": [\"mean\", \"std\", \"sem\"],\n",
    "                \"eval_acc\": [\"mean\", \"std\", \"sem\", \"max\"]}\n",
    "                )\n",
    "    \n",
    "    # flatten multiindex\n",
    "    experiments_data.columns = [\"_\".join(col) for col in experiments_data.columns.ravel()]\n",
    "    experiments_data = experiments_data.reset_index()\n",
    "\n",
    "    if labels:\n",
    "        standard = experiments_data.query(\"mode == 'standard' and llm == 'None'\")\n",
    "    else:\n",
    "        standard = experiments_data.query(\"mode == 'standard' and llm == @distill_labels\") ## For standard distillation we have to set labels to gpt35 or palm\n",
    "    task_prefix_palm = experiments_data.query(\"mode == 'task_prefix' and llm == 'palm'\")\n",
    "    task_prefix_gpt35 = experiments_data.query(\"mode == 'task_prefix' and llm == 'gpt35'\")\n",
    "\n",
    "    fig, ax = plt.subplots()\n",
    "\n",
    "    lb = \"standard\" if labels else f\"standard ({distill_labels.upper()})\"\n",
    "    ax.plot(standard[\"subsample\"], standard[\"eval_acc_mean\"], label=lb, color=\"blue\", marker=\"o\")\n",
    "    ax.fill_between(standard[\"subsample\"], standard[\"eval_acc_mean\"] - standard[\"eval_acc_sem\"], standard[\"eval_acc_mean\"] + standard[\"eval_acc_sem\"], alpha=0.2)\n",
    "\n",
    "    # add dotted horizontal line for accuracy of standard at subsample 1\n",
    "    ax.axhline(y=standard[standard[\"subsample\"] == 1.0][\"eval_acc_mean\"].values[0], xmin=0.0475, xmax=0.95, color='blue', linestyle='--')\n",
    "\n",
    "    ax.plot(task_prefix_palm[\"subsample\"], task_prefix_palm[\"eval_acc_mean\"], label=\"step-by-step PALM\", color=\"orange\", marker=\"^\")\n",
    "    ax.fill_between(task_prefix_palm[\"subsample\"], task_prefix_palm[\"eval_acc_mean\"] - task_prefix_palm[\"eval_acc_sem\"], task_prefix_palm[\"eval_acc_mean\"] + task_prefix_palm[\"eval_acc_sem\"], alpha=0.2)\n",
    "\n",
    "    ax.plot(task_prefix_gpt35[\"subsample\"], task_prefix_gpt35[\"eval_acc_mean\"], label=f\"step-by-step GPT35 ({prompt_mix})\", color=\"green\", marker=\"d\")\n",
    "    ax.fill_between(task_prefix_gpt35[\"subsample\"], task_prefix_gpt35[\"eval_acc_mean\"] - task_prefix_gpt35[\"eval_acc_sem\"], task_prefix_gpt35[\"eval_acc_mean\"] + task_prefix_gpt35[\"eval_acc_sem\"], alpha=0.2)\n",
    "\n",
    "    # set x ticks to subsample values and add grid lines to x and y axis\n",
    "    ax.set_xticks(standard[\"subsample\"])\n",
    "    ax.grid(axis=\"x\")\n",
    "    ax.grid(axis=\"y\")\n",
    "\n",
    "    title = f\"{dataset.upper()} Finetuning (100% correct XR) - Eval Accuracy vs. Subsample\" if labels else f\"{dataset.upper()} Distillation - Eval Accuracy vs. Subsample\"\n",
    "    #title = f\"{dataset.upper()}\"\n",
    "    ax.set_title(title)\n",
    "    ax.set_ylabel(\"Eval Accuracy\")\n",
    "    ax.set_xlabel(\"Subsample\")\n",
    "    ax.legend()\n",
    "\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "anli_ax = subsampling_graph(experiments, dataset=\"anli1\", labels=True, prompt_mix=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cqa_ax = subsampling_graph(experiments, dataset=\"cqa\", labels=False, prompt_mix=7, distill_labels=\"palm\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def modelsize_graph(experiments_data: pd.DataFrame, dataset: str, labels: bool, prompt_mix: int, distill_labels: str = None):\n",
    "    # replace nan with \"None\"\n",
    "    experiments_data[\"llm\"] = experiments_data[\"llm\"].fillna(\"None\")\n",
    "\n",
    "    experiments_data = experiments_data.query(\"dataset == @dataset and subsample == 1.0 and prompt_mix in [0, @prompt_mix]\")\n",
    "    if labels:\n",
    "        experiments_data = experiments_data.query(\"label_type == 'gt'\")\n",
    "    else:\n",
    "        experiments_data = experiments_data.query(\"label_type == 'llm'\")\n",
    "\n",
    "    # group over runs and add mean and standard error over top 3 runs\n",
    "    experiments_data = experiments_data.groupby([\"dataset\", \"model\", \"mode\", \"llm\", \"subsample\", \"prompt_mix\", \"label_type\"]).apply(\n",
    "        lambda group: group.nlargest(3, \"eval_acc\")).reset_index(drop=True).groupby(\n",
    "            [\"dataset\", \"model\", \"mode\", \"llm\", \"subsample\", \"prompt_mix\", \"label_type\"]).agg(\n",
    "                {\"train_duration\": [\"mean\", \"std\"],\n",
    "                \"train_steps\": [\"mean\", \"std\"],\n",
    "                \"test_acc\": [\"mean\", \"std\", \"sem\"],\n",
    "                \"eval_acc\": [\"mean\", \"std\", \"sem\", \"max\"]}\n",
    "                )\n",
    "    \n",
    "    # flatten multiindex\n",
    "    experiments_data.columns = [\"_\".join(col) for col in experiments_data.columns.ravel()]\n",
    "    experiments_data = experiments_data.reset_index()\n",
    "\n",
    "    # add int model size column\n",
    "    sizes = {\"t5-v1_1-base\": 250, \"t5-v1_1-small\": 77, \"t5-v1_1-large\": 800, \"t5-v1_1-xl\": 3000}\n",
    "    experiments_data[\"model_size\"] = experiments_data[\"model\"].map(sizes)\n",
    "\n",
    "    # sort by model size\n",
    "    experiments_data = experiments_data.sort_values(by=[\"model_size\"])\n",
    "\n",
    "    if labels:\n",
    "        standard = experiments_data.query(\"mode == 'standard' and llm == 'None'\")\n",
    "    else:\n",
    "        standard = experiments_data.query(\"mode == 'standard' and llm == @distill_labels\") ## For standard distillation we have to set labels to gpt35 or palm\n",
    "    task_prefix_palm = experiments_data.query(\"mode == 'task_prefix' and llm == 'palm'\")\n",
    "    task_prefix_gpt35 = experiments_data.query(\"mode == 'task_prefix' and llm == 'gpt35'\")\n",
    "\n",
    "    fig, ax = plt.subplots()\n",
    "\n",
    "    lb = \"standard\" if labels else f\"standard ({distill_labels.upper()})\"\n",
    "    ax.plot(standard[\"model_size\"], standard[\"eval_acc_mean\"], label=lb, color=\"blue\", marker=\"o\")\n",
    "    ax.fill_between(standard[\"model_size\"], standard[\"eval_acc_mean\"] - standard[\"eval_acc_sem\"], standard[\"eval_acc_mean\"] + standard[\"eval_acc_sem\"], alpha=0.2)\n",
    "\n",
    "    ax.plot(task_prefix_palm[\"model_size\"], task_prefix_palm[\"eval_acc_mean\"], label=\"step-by-step PALM\", color=\"orange\", marker=\"^\")\n",
    "    ax.fill_between(task_prefix_palm[\"model_size\"], task_prefix_palm[\"eval_acc_mean\"] - task_prefix_palm[\"eval_acc_sem\"], task_prefix_palm[\"eval_acc_mean\"] + task_prefix_palm[\"eval_acc_sem\"], alpha=0.2)\n",
    "\n",
    "    ax.plot(task_prefix_gpt35[\"model_size\"], task_prefix_gpt35[\"eval_acc_mean\"], label=f\"step-by-step GPT35 ({prompt_mix})\", color=\"green\", marker=\"d\")\n",
    "    ax.fill_between(task_prefix_gpt35[\"model_size\"], task_prefix_gpt35[\"eval_acc_mean\"] - task_prefix_gpt35[\"eval_acc_sem\"], task_prefix_gpt35[\"eval_acc_mean\"] + task_prefix_gpt35[\"eval_acc_sem\"], alpha=0.2)\n",
    "\n",
    "    # set x ticks to subsample values and add grid lines to x and y axis\n",
    "    ax.set_xticks(standard[\"model_size\"])\n",
    "    ax.set_xticklabels([\"77M\", \"250M\", \"800M\", \"3B\"], rotation=45)\n",
    "    ax.grid(axis=\"x\")\n",
    "    ax.grid(axis=\"y\")\n",
    "\n",
    "    # add GPT35 Eval Accuracy\n",
    "    gpt_35_eval_acc = 0.599 if dataset == \"anli1\" else 0.724\n",
    "    ax.axhline(y=gpt_35_eval_acc, xmin=0.0475, xmax=0.95, color='red', linestyle='--', label=\"Teacher\")\n",
    "\n",
    "    title = \"Finetuning - Eval Accuracy vs. Model Size\" if labels else f\"Distillation - Eval Accuracy vs. Model Size\"\n",
    "    ax.set_title(title)\n",
    "    ax.set_ylabel(\"Eval Accuracy\")\n",
    "    ax.set_xlabel(\"Model Size\")\n",
    "    ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "modelsize_graph(experiments, dataset=\"anli1\", labels=True, prompt_mix=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "modelsize_graph(experiments, dataset=\"anli1\", labels=False, prompt_mix=6, distill_labels=\"palm\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explanation Properties\n",
    "### Length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_explanation_length(experiments: pd.DataFrame, subsample:float=0.5):\n",
    "    filtered_exp_length_cp = experiments.copy()\n",
    "    # for prompt_mix 9, change subsample 1.0 to 0.5\n",
    "    filtered_exp_length_cp.loc[(filtered_exp_length_cp[\"prompt_mix\"] == 9), \"subsample\"] = 0.5\n",
    "\n",
    "    #fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(15, 8), sharey=True)\n",
    "    fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(15, 4), sharey=False)\n",
    "    models = [\"t5-v1_1-small\", \"t5-v1_1-base\", \"t5-v1_1-large\"]\n",
    "    model_sizes = [\"77M\", \"250M\", \"800M\"]\n",
    "    for ax, model, size in zip([ax1, ax2, ax3], models, model_sizes):\n",
    "        \n",
    "        filtered_exp_length = filtered_exp_length_cp.query(f\"dataset == 'anli1' and model == @model and subsample == {subsample} and label_type == 'gt' and mode == 'task_prefix'\")\n",
    "        \n",
    "        # group over runs and add mean and standard error over top 3 runs\n",
    "        filtered_exp_length = filtered_exp_length.groupby([\"prompt_mix\"]).apply(\n",
    "            lambda group: group.nlargest(3, \"eval_acc\")).reset_index(drop=True)\n",
    "\n",
    "        lens = {0: 19, 6: 34, 8: 23, 9: 74}\n",
    "        filtered_exp_length[\"avg_x_len\"] = filtered_exp_length[\"prompt_mix\"].map(lens)\n",
    "        filtered_exp_length = filtered_exp_length.sort_values(by=[\"avg_x_len\"])\n",
    "\n",
    "        # vertical boxplots of eval_acc for each avg_x_len.\n",
    "        positions = sorted(lens.values()) if subsample == 0.5 else sorted(lens.values())[:-1]\n",
    "        colors = [\"orange\", \"red\", \"green\", \"brown\"] if subsample == 0.5 else [\"orange\", \"red\", \"green\"]\n",
    "        bplot = filtered_exp_length.boxplot(column=\"eval_acc\", by=\"avg_x_len\", ax=ax, positions=positions, grid=True, widths=3.0, patch_artist=True, \n",
    "                                            boxprops=dict(edgecolor=\"black\"),\n",
    "                                            medianprops=dict(color=\"black\", linewidth=1),\n",
    "                                            meanprops=dict(color=\"black\", linewidth=1),\n",
    "                                            whiskerprops=dict(color=\"black\"),\n",
    "                                            showfliers=False,\n",
    "                                            showmeans=True, meanline=True)\n",
    "        boxes = [child for child in bplot.get_children() if isinstance(child, matplotlib.patches.PathPatch)]\n",
    "        for box, color in zip(boxes, colors):\n",
    "            box.set_facecolor(color)\n",
    "\n",
    "        ax.plot(positions, filtered_exp_length.groupby([\"avg_x_len\"]).agg({\"eval_acc\": \"mean\"}), color=\"black\", marker=\"\")\n",
    "        ax.set_title(f\"{size} Parameters\")\n",
    "        ax.set_xlabel(\"Avg. Explanation Length (Words)\")\n",
    "        \n",
    "    ax1.set_ylabel(\"Accuracy\")\n",
    "    fig.suptitle(f\"Eval Accuracy vs. Average Length of Explanation across Model Sizes (SubSample={subsample})\", y=1.05, fontsize=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_explanation_length(experiments, subsample=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_explanation_length(experiments, subsample=1.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### FRE and Standard Deviation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_scatter(experiments:pd.DataFrame):\n",
    "    filtered_exp_length_cp = experiments.copy()\n",
    "    # for prompt_mix 9, change subsample 1.0 to 0.5\n",
    "    filtered_exp_length_cp.loc[(filtered_exp_length_cp[\"prompt_mix\"] == 9), \"subsample\"] = 0.5\n",
    "\n",
    "    fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(15, 3.5), sharey=False)\n",
    "    #norm = Normalize(vmin=0.406, vmax=0.632)\n",
    "\n",
    "\n",
    "    models = [\"t5-v1_1-small\", \"t5-v1_1-base\", \"t5-v1_1-large\"]\n",
    "    model_sizes = [\"77M\", \"250M\", \"800M\"]\n",
    "    for ax, model, size in zip([ax1, ax2, ax3], models, model_sizes):\n",
    "        \n",
    "        filtered_exp_length = filtered_exp_length_cp.query(f\"dataset == 'anli1' and model == @model and subsample == 1.0 and label_type == 'gt' and mode == 'task_prefix' and prompt_mix in [0, 6, 8]\")\n",
    "        \n",
    "        # group over runs and add mean and standard error over top 3 runs\n",
    "        filtered_exp_length = filtered_exp_length.groupby([\"prompt_mix\"]).apply(\n",
    "            lambda group: group.nlargest(3, \"eval_acc\")).reset_index(drop=True)\n",
    "        \n",
    "        filtered_exp_length = filtered_exp_length.groupby(\n",
    "            [\"prompt_mix\"]).agg(\n",
    "                {\"train_duration\": [\"mean\", \"std\"],\n",
    "                \"train_steps\": [\"mean\", \"std\"],\n",
    "                \"test_acc\": [\"mean\", \"std\", \"sem\"],\n",
    "                \"eval_acc\": [\"mean\", \"std\", \"sem\", \"max\"]}\n",
    "                )\n",
    "        \n",
    "        filtered_exp_length.columns = [\"_\".join(col) for col in filtered_exp_length.columns.ravel()]\n",
    "        filtered_exp_length = filtered_exp_length.reset_index()\n",
    "\n",
    "        lens = {0: 19, 6: 34, 8: 23}\n",
    "        FREs = {0: 63, 6: 43, 8: 47}\n",
    "        SDs = {0: 51, 6: 118, 8: 38}\n",
    "        colors = {0: \"orange\", 6: \"green\", 8: \"red\"}\n",
    "        filtered_exp_length[\"avg_x_len\"] = filtered_exp_length[\"prompt_mix\"].map(lens)\n",
    "        filtered_exp_length[\"fre\"] = filtered_exp_length[\"prompt_mix\"].map(FREs)\n",
    "        filtered_exp_length[\"sd\"] = filtered_exp_length[\"prompt_mix\"].map(SDs)\n",
    "        filtered_exp_length[\"color\"] = filtered_exp_length[\"prompt_mix\"].map(colors)\n",
    "        filtered_exp_length[\"size\"] = (filtered_exp_length[\"avg_x_len\"] - filtered_exp_length[\"avg_x_len\"].min()) / (filtered_exp_length[\"avg_x_len\"].max() - filtered_exp_length[\"avg_x_len\"].min()) * 500 + 50\n",
    "        \n",
    "        filtered_exp_length.plot.scatter(x=\"sd\", y=\"fre\", s=\"size\", c=\"eval_acc_mean\",\n",
    "                                        ax=ax,\n",
    "                                        cmap='winter', colorbar=False,)\n",
    "        ax.set_xticks(sorted(SDs.values()))\n",
    "        ax.set_xlim([30, 129])\n",
    "        ax.set_xlabel(\"SD of Length of Explanations\")\n",
    "        ax.set_yticks(sorted(FREs.values()))\n",
    "        ax.set_ylim([40, 65])\n",
    "        ax.grid()\n",
    "        ax.set_title(f\"{size} Parameters\")\n",
    "        ax.set_ylabel(\"\")\n",
    "        # add color legend\n",
    "        fig.colorbar(ax.collections[0], ax=ax, label=\"\", orientation=\"vertical\", pad=0.03, shrink=0.7, ticks=[0.406, 0.411, 0.417, 0.463, 0.469, 0.622, 0.625, 0.632])\n",
    "        \n",
    "    \n",
    "    # Create proxy artists for the legend\n",
    "    sizes = [10, 16, 22]  # Adjust based on your actual size values\n",
    "    markers = [plt.Line2D([0,0],[0,0], marker='o', color='w', markerfacecolor='blue', markersize=size) for size in sizes]\n",
    "    labels = [f'{le} Words' for le in [19, 23, 34]]\n",
    "\n",
    "    ax1.set_ylabel(\"Flesch Reading Ease\")\n",
    "    ax1.legend(handles=markers, labels=labels, title='Explanation Length', loc='upper left', bbox_to_anchor=(-0.05, -0.15), fontsize=8, ncol=3)\n",
    "    fig.suptitle(f\"Eval Accuracy vs. Flesch Reading Ease and SD of Length of Explanations\", y=1.05, fontsize=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x350 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_scatter(experiments)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explanation Rate\n",
    "### ANLI1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, '')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtered_exp_rate = experiments.copy()\n",
    "\n",
    "filtered_exp_rate = filtered_exp_rate.query(\"(dataset == 'anli1' and model == 't5-v1_1-base' and subsample == 1.0 and label_type == 'gt' and mode == 'task_prefix' and prompt_mix in [8, 10, 11, 12, 13, 14]) or (dataset == 'anli1' and model == 't5-v1_1-base' and subsample == 1.0 and label_type == 'gt' and mode == 'standard' and prompt_mix == 0)\")\n",
    "\n",
    "\n",
    "# group over runs and add mean and standard error over top 3 runs\n",
    "filtered_exp_rate = filtered_exp_rate.groupby([\"prompt_mix\"]).apply(\n",
    "    lambda group: group.nlargest(5, \"eval_acc\")).reset_index(drop=True)\n",
    "\n",
    "xr = {0: 0, 8: 100, 10: 66, 11: 33, 12: 50, 13: 15, 14: 85}\n",
    "filtered_exp_rate[\"xr\"] = filtered_exp_rate[\"prompt_mix\"].map(xr)\n",
    "filtered_exp_rate = filtered_exp_rate.sort_values(by=[\"xr\"])\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "positions = sorted(xr.values())\n",
    "colors = [\"orange\", \"yellow\", \"pink\", \"lightblue\", \"grey\", \"purple\", \"red\"]\n",
    "#colors = [\"orange\", \"red\", \"red\", \"red\", \"red\", \"red\", \"red\"]\n",
    "bplot = filtered_exp_rate.boxplot(column=\"eval_acc\", by=\"xr\", ax=ax, positions=positions, grid=True, widths=3.0, patch_artist=True, \n",
    "                                    boxprops=dict(edgecolor=\"black\"),\n",
    "                                    medianprops=dict(color=\"black\", linewidth=1),\n",
    "                                    meanprops=dict(color=\"black\", linewidth=1),\n",
    "                                    whiskerprops=dict(color=\"black\"),\n",
    "                                    showfliers=False,\n",
    "                                    showmeans=True, meanline=True)\n",
    "boxes = [child for child in bplot.get_children() if isinstance(child, matplotlib.patches.PathPatch)]\n",
    "for box, color in zip(boxes, colors):\n",
    "    box.set_facecolor(color)\n",
    "\n",
    "ax.plot(positions, filtered_exp_rate.groupby([\"xr\"]).agg({\"eval_acc\": \"mean\"}), color=\"black\", marker=\"\")\n",
    "ax.set_title(\"Eval Accuracy vs. Explanation Rate\")\n",
    "ax.set_xlabel(\"Explanation Rate (%)\")\n",
    "ax.set_ylabel(\"Accuracy\")\n",
    "fig.suptitle(\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CQA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, '')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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yus4KFSpACIFy5cqp7hZS8cM+UFSs6erq4ttvv8XBgwexZcsWpKamZnh8l/5/mP99XHX16lUEBwfn6pxbt25F+fLl8cMPP+Dbb79V+xo1ahRKlCih6hfUuXNnCCEyvVuSHk+HDh2gq6uLqVOnZvi/5//GXKFCBVy4cEFt+5o1azQaIq6np6d2TCBtmoAPj9G5c2fcunULe/fuzTLudL1798aJEyewaNEilC5dGq1bt85RLDn52X04pN/Q0BBVq1aFEEL1KDYhIQFhYWGZjqzLrdjYWAwYMAD16tXDzJkzsW7dOly/fl31aPa/UlNTsXr1atXrlJQUrF69GjY2NvD09Mz0+Jm9J4G0EXK5ldkx3759i40bN2aoa2ZmlqPZuevUqQNbW1usWrUKycnJqvKjR48iNDQUbdu2zXW8OTVmzBjI5XIsWLAAgGZtl57UfnitnTp1gp6eHqZMmZLhOEKIDO87Kpp4B4qKrKNHjyIsLCxDef369VG+fHnV627dumHp0qUICAhAjRo1UKVKFbX6X3/9Nfbs2YOOHTuibdu2iIiIwKpVq1C1alW8e/dOo5iePXuGs2fPYvjw4ZluNzIyQsuWLbFr1y4sWbIETZs2Re/evbFkyRI8ePBA9Yjh999/R9OmTTF06FBUrFgREyZMwLRp0/DFF1+gU6dOMDIywp9//glHR0fVfEoDBgzADz/8gM6dO6N58+a4desWjh8/nuEuWHa+/vprbNmyBZaWlqhatSqCg4Nx6tQplC5dWq3e6NGjsXv3bnTp0gXfffcdPD098fr1axw4cACrVq1Se8zWs2dPjBkzBnv37sXgwYM16j/ysZ9dixYtYG9vjwYNGsDOzg6hoaFYtmwZ2rZtC3NzcwDAH3/8gaZNmyIgICBH6xg+ffoUW7duzVBeokQJdOjQAQAwYsQI/Pvvvzh16hT09PTQqlUrDBgwANOnT0f79u3Vrt/R0RGzZ89GZGQkKlWqhJ07d+LmzZtYs2ZNlm1hYWGBRo0aYc6cOZDL5XBycsKJEycQERGRw5bLqEWLFjA0NES7du3w/fff4927d1i7di1sbW0z3KX09PTEypUrMX36dFSsWBG2trYZ7jABaX2BZs+ejX79+qFx48bo0aOHahoDV1dXjBw5Mtfx5lTVqlXRpk0brFu3DhMnTkTp0qVz3HbpCeyECRPQvXt3GBgYoF27dqhQoQKmT58Of39/REZGokOHDjA3N0dERAT27t2LQYMGqc1FRkVUwQ/8I8pf2U1jgA+GgguRNqy+bNmyAoCYPn16huMplUoxc+ZM4eLiIoyMjEStWrXEoUOHhEwmEy4uLmp18ZFpDObPny8AiNOnT2dZZ9OmTQKA2L9/vxAibRqFuXPnCjc3N2FoaChsbGxE69atRUhIiNp+GzZsELVq1RJGRkaiZMmSonHjxuLkyZOq7QqFQowdO1ZYW1sLU1NT0bJlS/Hw4cMspzH4888/M8T25s0b0a9fP2FtbS1KlCghWrZsKcLCwjIcQwgh/v33XzF06FDh5OQkDA0NRZkyZYRMJhMxMTEZjtumTRsBQFy+fDnLdsnMx352q1evFo0aNRKlS5cWRkZGokKFCmL06NHi7du3qjrpQ+9zMv1EdtMYpL8X9u/fn2FqAiGEiIuLEy4uLsLDw0M1PUHjxo1FtWrVxLVr14S3t7cwNjYWLi4uYtmyZWr7ZjaNwZMnT0THjh2FlZWVsLS0FF26dBHPnj3LcC3p0xi8evVK7ZjpP+f/DtE/cOCAcHd3F8bGxsLV1VXMnj1bbNiwIUO96Oho0bZtW2Fubi4AqKY0+HAag3Q7d+5UvTdLlSolfHx8xJMnT9TqyGQyYWZmlqHN0+P/mPS2zMy5c+fU2iWnbSeEENOmTRNOTk5CV1c3Qzv89ttvomHDhsLMzEyYmZkJNzc34evrK8LDwz8aLxV+OkJ8cP+RiKiAdezYEXfu3FGNSCwumjRpgpiYmBz1FyMi7cI+UEQkqefPn+Pw4cPo3bu31KEQEeUY+0ARkSQiIiJw6dIlrFu3DgYGBmqTSRIRaTvegSIiSZw/fx69e/dGREQEgoKCYG9vL3VIREQ5xj5QRERERBriHSgiIiIiDWlFArV8+XK4urrC2NgYXl5e+OOPP7KtHxsbC19fXzg4OMDIyAiVKlXCkSNHVNtXrlwJd3d3WFhYwMLCAt7e3mqLyBIRERF9Csk7ke/cuRN+fn5YtWoVvLy8sGjRIrRs2RLh4eGwtbXNUD8lJQXNmzeHra0tdu/eDScnJ/z9999qa0yVKVMGs2bNwmeffQYhBIKCgtC+fXvcuHED1apV+2hMSqUSz549g7m5eYGtR0ZERETSEkIgPj4ejo6O0NX9yD0mKSehEkKIevXqCV9fX9VrhUIhHB0dRWBgYKb1V65cKcqXL6+aiC6nSpYsKdatW5ejuv/880+2EzHyi1/84he/+MWvovv1zz//fDRXkPQOVEpKCkJCQuDv768q09XVRbNmzbJcZ+zAgQPw9vaGr68v9u/fDxsbG/Ts2RNjx47NdFVshUKBXbt24f379/D29s70mMnJyWrrNIn/71cfERGhWu6hIMjlcpw9exZNmzbVaDmLoort8enYhppjm2WP7ZM/2K7qpGqP+Ph4lCtXLkd/+yVNoGJiYqBQKGBnZ6dWbmdnl+kaZgDw+PFjnDlzBj4+Pjhy5AgePnyIIUOGQC6XIyAgQFXvzp078Pb2RlJSEkqUKIG9e/eiatWqmR4zMDAw08Vag4ODYWpq+glXqDlTU1NcvXq1QM+pzdgen45tqDm2WfbYPvmD7apOivZISEgAgBx135G8D5SmlEolbG1tsWbNGujp6cHT0xNPnz7F3Llz1RKoypUr4+bNm3j79i12794NmUyG8+fPZ5pE+fv7w8/PT/U6Li4OZcuWRYsWLWBhYVEg1wWkZdwnT55E8+bN+X8gYHvkBbah5thm2WP75A+2qzqp2iMuLi7HdSVNoKytraGnp4cXL16olb948SLLSfUcHBxgYGCg9riuSpUqiI6ORkpKCgwNDQEAhoaGqFixIoC0FbX//PNPLF68GKtXr85wTCMjIxgZGWUoNzAwkOSNLNV5tRXb49OxDTXHNsse2yd/sF3VFXR7aHIuSacxMDQ0hKenJ06fPq0qUyqVOH36dJb9lRo0aICHDx9CqVSqyu7fvw8HBwdV8pQZpVKp1s+JiIiIKLcknwfKz88Pa9euRVBQEEJDQzF48GC8f/8e/fr1AwD06dNHrZP54MGD8fr1a4wYMQL379/H4cOHMXPmTPj6+qrq+Pv748KFC4iMjMSdO3fg7++Pc+fOwcfHp8Cvj4iIiIoeyftAdevWDa9evcKkSZMQHR2NmjVr4tixY6qO5VFRUWpzMZQtWxbHjx/HyJEj4e7uDicnJ4wYMQJjx45V1Xn58iX69OmD58+fw9LSEu7u7jh+/DiaN29e4NdHRERERY/kCRQADB06FEOHDs1027lz5zKUeXt748qVK1keb/369XkVGhEREVEGkj/CIyIiIipsmEARERERaYgJFBEREZGGmEARERERaYgJFBEREZGGmEARERERaUgrpjEgIiIqbhISEhAWFgYAiI+Px/nz52FlZQVzc3NVHTc3twJf1J5yhgkUERGRBMLCwuDp6alWtnDhQrXXISEhqF27dkGGRTnEBIqIiEgCbm5uCAkJAQDcvXsXMpkMQUFBqF69ulod0k5MoIiIiCRgamqquruUmpoKIC1h4h2nwoGdyImIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0pC91AERERMVJVFQUYmJi1MrCwsJU3/X1M/5ptra2hrOzc4HERznDBIqIiKiAREVFwa2yGxKTEjPdLpPJMi03MTZBWHgYkygtwgSKiIiogMTExCAxKRGd0AnWsFaVpyIVsYiFFayg/8Gf5hjEYE/SHsTExDCB0iJMoIiIiAqYNazhCEe1MmcwOSpM2ImciIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiIg0xASKiIiISENMoIiIiCQkIBCBCPyBP5CKVKnDoRziRJpEREQFLAZpa+H9g38QghC8xEsAQDziUQVVMq1L2oUJFBERUQHbgz2ZlgcjGL/j9wKOhnKDCRQREVEBUCgUOHHihFqZPvRRBVXgBS8cwRE8wzNURVU0RENVnRjEZJlwkXSYQBEREeWj1NRUbN++HTNnzkR4eDgAwAAG+Pz//zODGQCgOZojCEEIQxi+wlcojdJShk0fwU7kRERE+SAlJQVr165F5cqVIZPJEB4eDgsLCwBAT/TEV/hKlTwBQDmUQ0VUhBJKnMEZqcKmHGICRURElIeSkpKwfPlyVKxYEYMGDcLjx49hY2ODWbNm4eDBgwAAIxhlum8zNAMA3MM9PMXTAouZNKcVCdTy5cvh6uoKY2NjeHl54Y8//si2fmxsLHx9feHg4AAjIyNUqlQJR44cUW0PDAxE3bp1YW5uDltbW3To0EF125SIiCg/vH//HgsWLEC5cuUwdOhQ/PPPP3BwcMDChQsRERGBsWPHokSJEtkewx728IAHAOAkTkJAFETolAuSJ1A7d+6En58fAgICcP36dXh4eKBly5Z4+fJlpvVTUlLQvHlzREZGYvfu3QgPD8fatWvh5OSkqnP+/Hn4+vriypUrOHnyJORyOVq0aIH3798X1GUREVExERcXh8DAQLi6uuKnn35CdHQ0nJ2dsWLFCjx+/Bg//vgjzMzMPn6g/9cUTaEHPUQiEg/xMB8jp08heSfyBQsWYODAgejXrx8AYNWqVTh8+DA2bNiAcePGZai/YcMGvH79GpcvX4aBgQEAwNXVVa3OsWPH1F5v2rQJtra2CAkJQaNGjfLnQoiIqFh58+YNFi9ejMWLFyM2NhYAUKFCBfj7+6N3794wNDTM1XGtYIV6qIdgBOMUTqEd2uVh1JRXJE2gUlJSEBISAn9/f1WZrq4umjVrhuDg4Ez3OXDgALy9veHr64v9+/fDxsYGPXv2xNixY6Gnp5fpPm/fvgUAlCpVKtPtycnJSE5OVr2Oi4sDAMjlcsjl8lxdW26kn6sgz6nN2B6fjm2oObZZ9tg+wKtXr7Bo0SKsWrUK8fHxAIDKlStj3Lhx6NatG/T10/60ZtZGqak5m2n8C3yB67iOF3ihuguVmppabNpdqveZJueTNIGKiYmBQqGAnZ2dWrmdnR3CwsIy3efx48c4c+YMfHx8cOTIETx8+BBDhgyBXC5HQEBAhvpKpRI//vgjGjRogOrVq2d6zMDAQEyZMiVD+YkTJ2BqapqLK/s0J0+eLPBzajO2x6djG2qObZa94tg+r1+/xr59+3D8+HHV/3S7urqiS5cu+Pzzz6Gnp5dhnqcPPXr0KEfnMoUpvsAXOIVTuIZrAICLFy/i+fPnn3YRhUxBv88SEhJyXFfyR3iaUiqVsLW1xZo1a6CnpwdPT088ffoUc+fOzTSB8vX1xd27d3Hx4sUsj+nv7w8/Pz/V67i4OJQtWxYtWrRQDTktCHK5HCdPnkTz5s1VjyeLM7bHp2Mbao5tlr3i2D5RUVGYP38+NmzYoEqcPD09MX78eLRt2xa6ujnvTnzjxo0c1/WCF67iKuKRdperYcOGqFWrlmbBF1JSvc/Sn0DlhKQJlLW1NfT09PDixQu18hcvXsDe3j7TfRwcHGBgYKD2uK5KlSqIjo5GSkqK2jPnoUOH4tChQ7hw4QLKlCmTZRxGRkYwMso4pNTAwECSDwipzqut2B6fjm2oObZZ9opD+zx+/BiBgYEICgpSPdpp0KABJk6ciBYtWkBHR0fjY6Y/3ssJAxigKZriAA4AABITE4t8m3+ooN9nmpxL0lF4hoaG8PT0xOnTp1VlSqUSp0+fhre3d6b7NGjQAA8fPoRSqVSV3b9/Hw4ODqrkSQiBoUOHYu/evThz5gzKlSuXvxdCRERFRlhYGPr06YNKlSph3bp1kMvl+PLLL3HmzBn8/vvvaNmyZa6Sp9zwgAdKoiSAtAFRpD0kn8bAz88Pa9euRVBQEEJDQzF48GC8f/9eNSqvT58+ap3MBw8ejNevX2PEiBG4f/8+Dh8+jJkzZ8LX11dVx9fXF1u3bsX27dthbm6O6OhoREdHIzExscCvj4iICofbt2+jW7duqFq1KrZs2QKFQoHWrVvj0qVLOH36NJo2bVpgiVM6PeihHuoBAHbs2IEnT54U6Pkpa5L3gerWrRtevXqFSZMmITo6GjVr1sSxY8dUHcujoqLUni+XLVsWx48fx8iRI+Hu7g4nJyeMGDECY8eOVdVZuXIlAKBJkyZq59q4cSP69u2b79dERESFx7Vr1zB9+nTs379fVdahQwdMmDABderUkTCyNM5wBpA2Ynzy5MlYt26dxBERoAUJFJDWV2no0KGZbjt37lyGMm9vb1y5ciXL4wnBmVuJiPJKQkKCamR0fHw8zp8/DysrK5ibm6vquLm5STJq+VNcvnwZ06ZNU80dqKOjg65du2L8+PFwd3eXOLr/0cH/7npt3LgRfn5+qFq1qoQREaAlCRQREWmvsLAweHp6qpUtXLhQ7XVISAhq165dkGHlihAC586dw7Rp03D27FkAgJ6eHnx8fODv7w83NzeJI8xa06ZNcfbsWfj7+6vdLSNpMIEiIqJsubm5ISQkBABw9+5dyGQyBAUFqc2tp82JB5CWOB0/fhzTp0/HpUuXAKSNuJLJZBg3bhwqVKggcYQf5+vriwsXLuDAgQO4ePEiGjZsKHVIxRoTKCIiypapqanq7lL6TNpubm6F5o7TgQMHMH36dFy7ljYhpZGREQYMGIAxY8bA2dlZ4ghzrly5cujfvz/WrFmDMWPG4NKlSwXeqZ3+R/JReERERHlNoVBg165dqFmzJjp06IBr167B1NQUfn5+iIiIwLJlywpV8pQuICAAJiYmCA4O5mM8iTGBIiKiIiM1NRVbt25F9erV0bVrV9y+fRvm5ubw9/dHZGQk5s+fDwcHB6nDzDVHR0fVyhn+/v45XluP8h4TKCIiKvRSUlKwfv16uLm5oXfv3ggLC4OVlRUmT56MyMhIzJw5EzY2NlKHmSdGjx6N0qVLIywsDBs3bpQ6nGKLfaCIiChTUVFRiImJUStLn84gLCws02VJrK2tC/TRWFJSEjZs2IDZs2cjKipKFcNPP/2EIUOGFOh6pjmRPqHzAzxANKJV69xlxRzmqjrp+1paWmLixIn48ccfERAQgJ49e8LMzCx/A6cMmEAREVEGUVFRcHNzy3IFB5lMlmm5iYkJwsLC8j2JSkhIwOrVqzF37lw8f/4cAGBvb4/Ro0fj+++/19qEIjY2FgBwFmdzvS8A/PDDD1i0aBEiIyOxePFijB8/Po8ipJxiAkVERBnExMQgMTERnTp1grW1tao8NTUVsbGxsLKyynAHKiYmBnv27EFMTEy+JVDx8fFYvnw5FixYgFevXgFIW6Fi7Nix6N+/P4yNjfPlvHmladOmOHToEGJjY5GcnIxnz54BSFsHNjw8HJUrV1ZbfcPR0RFGRkawsrJC06ZNVeVGRkaYPn06evXqhdmzZ2PQoEFqPyfKf0ygiIgoS9bW1nB0dFQrk2L02ps3b7B06VIsWrQIb968AQCUL18e/v7+6NOnj2oxeW1namqKtm3bZiiXy+U4cuQI2rRpAwMDgxwdq0ePHpg3bx5u3ryJGTNmZJjclPIXO5ETEZHWevXqFcaPHw8XFxcEBATgzZs3qFy5MjZv3ozw8HAMGDCg0CRPeU1XVxezZ88GACxfvhwRERESR1S8MIEiIiKt8/z5c4waNQqurq4IDAxEfHw8atSogZ07d+LevXvo3bt3pp3Yi5sWLVqgWbNmkMvlmDhxotThFCtMoIiISGv8888/GDZsGMqVK4f58+cjISEBnp6e2LdvH27evImuXbtCT09P6jC1yqxZswAA27Ztw40bNySOpvhg+k5ERBmkj777cBqD7KTXzWrkXnYeP36MWbNmYdOmTZDL5QCA+vXrY+LEiWjZsiWXLMmGp6cnevTogR07dmDcuHE4fvy41CEVC0ygiIgog8jISADAnj17crVvgwYNclQ3PDwcM2fOxLZt26BQKACkjVT7+eef0bRpUyZOOTR9+nTs3r0bJ06cwKlTp9CsWTOpQyrymEAREVEGrq6uAJBhGoPspE9jkL5vdu7cuYMZM2bg119/hRACANCqVSv8/PPPOU6+6H/Kly+PwYMHY8mSJRg7diz+/PNPtekQKO8xgSIiogxMTEwAZD6NQU73zUxISAimT5+Offv2qcrat2+PCRMmoG7durmKldL8/PPP2LhxI65fv45ff/0V3bt3lzqkIo3pKRER5bvg4GC0bdsWderUwb59+6Cjo4MuXbrg5s2b2LdvH5OnPGBjY4PRo0cDACZMmICUlBSJIyramEAREVG+EELg3LlzaNasGerXr48jR45AV1cXvXr1wr179/Drr7/Cw8ND6jCLFD8/P9jZ2eHx48dYvXq11OEUaUygiIgoTwkhcOLECTRq1AhNmzbF6dOnoa+vj/79+yM8PBxbtmxBlSpVpA6zSDIzM8PkyZMBAFOnTkVcXJy0ARVh7ANFRMVOQkICzp49q1qcNbM1yW7dupXtmmSmpqZShK7V0juDy2Qy3Lt3DwBgaGiIAQMGYMyYMXBxcZEyvGKjf//+WLhwIe7fv4958+Zh6tSpUodUJDGBIqJi5+zZs/j6669zvf+hQ4cyXc+suFIqlQgNDcWZM2cAAPfu3YOJiQl++OEHjBo1SuNO6PRpDAwMMHPmTHz77beYP38+hgwZAnt7e6nDKnKYQBFRsWNlZQUA6DFiLGzLlIE8JQVvXr7Idp+StnZ48/Ildiyerdq/uFMoFLh37x4uXLigNuFm3759MXv2bNja2koYXfHWqVMneHl54erVq5gyZQpWrlwpdUhFDhMoIip20ofZ127UFOWrued4v8f3bmPH4tnZDtMvDhQKBW7duoWLFy/i9evXAABjY2NUrVoV169fx7Bhw5g8SUxHRwdz5sxB48aNsXbtWowcORKVKlWSOqwihQkUERFl6cOlXJ48eYJLly7h7du3ANISpxo1aqBatWqIi4vD9evXpQiTMtGoUSN8/fXXOHToECZMmIBdu3ZJHVKRwgSKiIiylNVSLiYmJkhMTERSUhL+/PNP/PnnnwUcGeVEYGAgDh8+jN27d+Pq1avw8vKSOqQigwkUERFlqVOnTnj37h0uXLiApKQkAGl3Nry9vfHmzRu1uulLuZD2qF69OmQyGTZt2oQxY8bg3LlzXF8wjzCBIiKiLN25cwcPHjwAkDbTdYcOHeDk5AQg+yVbSHtMnToVO3bswIULF3DkyBGOIM0jnEiTiIgyuHTpEgDgwYMH0NHRQYMGDTBo0CBV8kSFR9myZTF8+HAAwLhx46BQKCSOqGhgAkVERCpv377FgAEDVH9wLS0t8d1336F58+YwMDCQODrKLX9/f1hZWeHu3bvYsmWL1OEUCUygiIgIAHDq1CnUqFED69evV/WT6dy5M8qWLStxZPSpSpYsifHjxwMAJk6ciMTERIkjKvyYQBERFXPv3r3DkCFD0Lx5c/zzzz8oX7481q5dCwDQ12dX2aJi2LBhKFu2LJ48eYJly5ZJHU6hxwSKiKgYO3/+PNzd3VUzVfv6+uL27duoVauWxJFRXjM2Nlatizdz5swMoyhJM0ygiIiKoYSEBIwYMQJNmjRBREQEXFxccPr0aSxbtgxmZmZSh0f5pHfv3qhevTpiY2Mxa9YsqcMp1JhAEREVM5cvX4aHhweWLFkCABg0aBBu376NL7/8UuLIKL/p6empEqfFixfjn3/+kTiiwosJFBFRMZGUlITRo0ejYcOGePjwIZycnHDs2DGsXr0aFhYWUodHBaRNmzZo1KgRkpOTERAQIHU4hRYTKCKiYuCPP/5ArVq1MG/ePAgh0LdvX9y9exctW7aUOjQqYOkLDQNAUFAQ7t69K3FEhROHVxARFWHJycmYOnUqZs2aBaVSCXt7e6xZswbt2rXL0f4fLiacmpqK2NhYWFlZZRih92Fd0l5eXl7o3LkzfvvtN/j7++PgwYNSh1ToMIEiIiqibty4AZlMhjt37gAAevbsiaVLl6JUqVIf3dfa2homJiYar21nYmICa2vrXMVLBWvmzJnYt28fDh06hAsXLqBRo0ZSh1SoMIEiIipi5HI5Zs6cienTpyM1NRU2NjZYtWoVOnXqlONjODs7IywsLMNdpbt370ImkyEoKAjVq1fPsJ+1tTWcnZ0/+Roo/1WqVAkDBw7EqlWrMGbMGAQHB3OhYQ0wgSIiKkLu3LkDmUyGGzduAAC+/fZbrFixAjY2Nhofy9nZOUMylJqaCgBwc3ND7dq1Pz1gklRAQAA2b96Mq1evYs+ePejcubPUIRUaTKCIipiEhASEhYUBAOLj43H+/HlYWVnB3NxcVcfNzQ2mpqZShUj5IDU1FXPmzMHkyZMhl8tRqlQprFixAl27duVdBcqSvb09fvrpJ0ybNg3jx4/HN998wzUPc4gJFFERExYWBk9PT7WyhQsXqr0OCQnh3YMiJDQ0FDKZDH/++ScA4JtvvsHq1athb28vcWRUGIwaNQqrVq3C/fv3sWHDBnz//fdSh1QocBoDoiLGzc0NISEhCAkJQVBQEIC0ocrpZSEhIXBzc5M4SsoLCoUC8+bNQ61atfDnn3/C0tISmzdvxr59+5g8UY5ZWFhg4sSJAIDJkyfj/fv3EkdUOPAOFFERY2pqqrq7xP4qRdeDBw/Qt29fXL58GQDQunVrrF27Fk5OThJHRoXR999/j0WLFuHx48dYuHAhfv75Z6lD0nq8A0VEVIgolUosWbIEHh4euHz5MszNzbFu3TocPnyYyRPlmqGhIWbMmAEAmDNnDl69eiVxRNqPCRQRUSHx+PFjfPnllxgxYgQSExPRrFkz3L17F/3792dHcfpkXbt2haenJ+Lj4zF9+nSpw9F6TKCIiLScEAKrVq2Cu7s7zp8/DzMzM6xYsQInTpzgnEuUZ3R1dTF79mwAwMqVK/H48WOJI9JuTKCIiLRYVFQUWrRogcGDB+P9+/do3Lgxbt++jcGDB/OuE+W5r776Ci1atIBcLmc/qI9gAkVEpIWEEFi/fj2qV6+OU6dOwcTEBIsXL8aZM2dQvnx5qcOjIiz9LtSOHTsQEhIicTTaiwkUEZGWefr0Kb7++msMGDAA8fHxqF+/Pm7evInhw4dDV5cf25S/atasCR8fHwDAuHHjJI5Ge/E3kYhISwghsGXLFlSvXh1HjhyBkZER5s6diwsXLqBSpUpSh0fFyPTp02FoaIhTp07h5MmTUoejlZhAERFpgejoaHTs2BF9+vRBbGws6tati+vXr2PUqFHQ09OTOjwqZlxdXTFkyBAAwNixY6FUKiWOSPswgSIiktjOnTtRrVo17N+/HwYGBpgxYwYuX76MqlWrSh0aFWMTJkyAhYUFbty4gV9++UXqcLQOEygiIom8evUKXbt2Rffu3fH69WvUqlULISEhGD9+PPT1uVAEScva2hpjx44FkJZMJScnSxyRdmECRUQkgT179qBatWrYtWsX9PX1ERAQgKtXr6JGjRpSh0akMmLECDg4OCAyMhKrVq2SOhytwgSKiKgAvX79Gj4+PujcuTNevXqF6tWr4+rVq5g8eTIMDAykDo9IjZmZGaZMmQIAmDZtGt6+fStxRNqDCRQRUQE5dOgQqlWrhu3bt0NXVxfjx4/HtWvXuNAzabV+/frBzc0N//77L+bOnSt1OFqDCRQRUT6LjY1Fv3790K5dO0RHR8PNzQ3BwcGYMWMGjIyMpA6PKFv6+voIDAwEACxYsADPnj2TOCLtIHkCtXz5cri6usLY2BheXl74448/sq0fGxsLX19fODg4wMjICJUqVcKRI0dU2y9cuIB27drB0dEROjo62LdvXz5fARFR1o4fP44aNWpg06ZN0NHRwahRo3D9+nXUq1dP6tCIcqx9+/aoX78+EhMTVY/0ijtJE6idO3fCz88PAQEBuH79Ojw8PNCyZUu8fPky0/opKSlo3rw5IiMjsXv3boSHh2Pt2rVwcnJS1Xn//j08PDywfPnygroMIqIM4uPjMWjQILRq1QpPnjxBxYoV8fvvv2Pu3LkwMTGROjwijejo6KiWeFm/fj3CwsIkjkh6ko6TXbBgAQYOHIh+/foBAFatWoXDhw9jw4YNmU4fv2HDBrx+/RqXL19WdbZ0dXVVq9O6dWu0bt1aoziSk5PVhmfGxcUBAORyOeRyuUbH+hTp5yrIc2oztsen+28bsh3/JzU19ZP3z649z549i0GDBuHvv/8GAAwdOhTTp0+Hqalpofw5JCQkIDw8HABw9+5dte/pKleuDFNT0wKPragoDJ93Xl5e+Prrr3Ho0CGMGzcOu3btyrdzSdUempxPsgQqJSUFISEh8Pf3V5Xp6uqiWbNmCA4OznSfAwcOwNvbG76+vti/fz9sbGzQs2dPjB079pNm6g0MDMz0luSJEyck+UDgtPnq2B659+jRIwDA1atXERMTI3E02iO9XXLr4sWLeP78eYbypKQkbN68WdWtwM7ODsOGDUP16tVx7ty5TzqnlB49eoSffvpJrax///5qr+fPn48KFSoUZFhFkrZ/3rVs2RJHjhzB/v37sWDBAri5ueXr+Qq6PRISEnJcV7IEKiYmBgqFAnZ2dmrldnZ2Wd4afPz4Mc6cOQMfHx8cOXIEDx8+xJAhQyCXyxEQEJDrWPz9/eHn56d6HRcXh7Jly6JFixawsLDI9XE1JZfLcfLkSTRv3pzDmcH2yAvpfQq9vLzY5+Y/bty48Un7N2zYELVq1VIru3jxIvz8/PD48WMAwKBBgzBr1iyUKFHik86lDRISEtCwYUMAaY8mDx8+jLZt28Lc3FxVh3egPk1h+ry7fv06Nm7ciIMHD2LkyJHQ0dHJ83NI1R7pT6ByolBNdatUKmFra4s1a9ZAT08Pnp6eePr0KebOnftJCZSRkVGmI2EMDAwkeSNLdV5txfbIvfR2Yxuq+9RZvvX19VXtmZiYiAkTJmDRokUQQqBs2bJYv349mjdvnhehagVLS0tVAi6Xy/Hu3Ts0atSI76l8UBh+V6dOnYodO3bg0qVLOH78ONq1a5dv5yro9tDkXJJ1Ire2toaenh5evHihVv7ixQvY29tnuo+DgwMqVaqk9riuSpUqiI6ORkpKSr7GS0T0oStXrqBmzZpYuHAhhBDo378/7ty5U6SSJ6IPlSlTBj/++CMAYNy4cZ/cp7CwkiyBMjQ0hKenJ06fPq0qUyqVOH36NLy9vTPdp0GDBnj48KHaqtD379+Hg4MDDA0N8z1mIiIgbeDJuHHj0KBBA9y/fx+Ojo44fPgw1q1bB0tLS6nDI8p3Y8eORalSpfDXX39h8+bNUocjCUmnMfDz88PatWsRFBSE0NBQDB48GO/fv1eNyuvTp49aJ/PBgwfj9evXGDFiBO7fv4/Dhw9j5syZ8PX1VdV59+4dbt68iZs3bwIAIiIicPPmTURFRRXotRFR0dWrVy/Mnj0bSqUSvXv3xt27d9GmTRupwyIqMFZWVpgwYQIAYNKkSRp1vi4qJO0D1a1bN7x69QqTJk1CdHQ0atasiWPHjqk6lkdFRUFX9385XtmyZXH8+HGMHDkS7u7ucHJywogRI1SrRQPAtWvX0LRpU9Xr9M7hMpkMmzZtKpgLI5JAVFRUhpF26QMywsLCMu33Y21tDWdn5wKJr7CTp6Tg2I4gAGkDWtL7Y7Zv317iyIikMWTIECxevBhRUVFYunSp2t/i4kDyTuRDhw7F0KFDM92W2bBfb29vXLlyJcvjNWnSBEKIvAqPqFCIiopClSpVsvy/QJlMlmm5qakpQkNDmUR9RGTYPSwdNwKRYX8BSBvKvXXrVlhbW0scGZF0jI2NMX36dPTp0weBgYEYOHAgSpUqJXVYBUbyBIqIPl1MTAwSEhKwdcJUVHEppypPTE5GZPRzuNo7wOSDkaahf0eg14xJiImJYQKVhVS5HHvXLsOuFQuhSE2FmYUl3se9xcyZM5k8EQHo2bMn5s2bh9u3b2PmzJmYN2+e1CEVGCZQREVIFZdyqF1JfWK7BjU8JIqmcIt6EI5l40bg0b3bAACv5q3RsnsfTO3fQ+LIiLSHnp4eZs2ahTZt2mDp0qUYNmwYXFxcpA6rQGjcidzV1RVTp05lp2wiKpIUCgX2rl2G0Z1a4tG92yhhaYUf5y7D6CXrYG5VUurwiLROq1at0LRpU6SkpGDSpElSh1NgNE6gfvzxR+zZswfly5dH8+bN8csvv6itI0dEVFg8efwAj+/dVn3dv3kdAX06Y+v8mUiVp6CKZz2MnLcCTuUrIuKvO1KHS6SV/rvQ8JYtW3D79m2JIyoYGj/C+/HHH/Hjjz/i+vXr2LRpE4YNG4YhQ4agZ8+e+O6771C7du38iJOIKM8tHj1M7bWBkRHkyckwNjVDUsJ7hIb8gWkDe6q2z/3tWEGHSFQo1K1bF127dsWvv/6KcePGqdaDLMpy3Qeqdu3aqF27NubPn48VK1Zg7NixWLlyJWrUqIHhw4ejX79++bI+DhFRXhkxdymcyn2Gi0f24VDQWsiTk+H8mRtGLliBVK5uQKSRGTNmYM+ePTh69CjOnj2rNqVQTiQkJKimXomPj8f58+dhZWWlWnPRzc1Nq9ZbzHUCJZfLsXfvXmzcuBEnT57E559/jv79++PJkycYP348Tp06he3bt+dlrEREecrWsSwOblqN3w/tBQA0bNsBg6fNg3EWH9KP7xWPRxNEuVGxYkV8//33WL58OcaOHYurV69qdCMlLCwMnp6eamULFy5U/TskJESrnnJpnEClr8K8Y8cO6Orqok+fPli4cCHc3P438qdjx46oW7dungZKRJTXlvr/iOioSOjq6UE2NgBte/fnnXOiTzBx4kQEBQXhzz//xO7du9GlS5cc7+vm5oaQkBAAwN27dyGTyRAUFITq1aurtmsTjROounXronnz5li5ciU6dOiQ6crF5cqVQ/fu3fMkQCKivHbhwgUAQHRUJKysbeC3cDWq1f1c4qiICj87OzuMGjUKkydPxvjx47PMEzJjamqqusOUvkCxm5ubVt11+i+NR+E9fvwYx44dQ5cuXbJsFDMzM2zcuPGTgyMiyktKpRIBAQEYOXIkAMClchXM/e04kyeiPOTn5wdbW1s8fPgQa9eulTqcfKNxAvXy5UtcvXo1Q/nVq1dx7dq1PAmKiCivvXnzBu3atcPUqVNVZT9MmYNSdvYSRkVU9Jibm6vmg5oyZQrevXsncUT5Q+MEytfXF//880+G8qdPn8LX1zdPgiIiyku3bt1CnTp1cOTIERgbG6uSKP0cPlogIs0MGjQIFStWxMuXLzF//nypw8kXGidQf/31V6bPI2vVqoW//vorT4Ki4ishIQHXr1/H9evXcfnyZZw/fx6XL19WlWW1WC5RVrZu3Qpvb288fvwY5cqVQ3BwMNq2bSt1WERFmoGBAWbMmAEAmDdvHl68eCFxRHlP4wTKyMgo04Z4/vw59PW5tB59mvRhrJ6enmjSpAkWLlyIJk2aqMrS5wgh+piUlBQMGzYMvXv3RmJiIlq3bo1r166hZs2aUodGVCx06dIFdevWxbt37zBt2jSpw8lzGidQLVq0gL+/P96+fasqi42Nxfjx49G8efM8DY6Kn/RhrCEhIQgKCgIABAUFqcq0bRgraadnz56hadOmWLZsGQBg0qRJOHToEEqVKiVxZETFx3+XeFm9ejUePnwocUR5S+NbRvPmzUOjRo3g4uKCWrVqAQBu3rwJOzs7bNmyJc8DpOKlsA1jJe3z+++/o2vXroiOjoalpSW2bNmCdu3aSR0WUbHUtGlTtG7dGkePHsWECROwc+dOqUPKMxonUE5OTrh9+za2bduGW7duwcTEBP369UOPHj1yPNcDEVFeE0JgyZIlGDVqFFJTU1G9enXs3bsXFStWlDo0omJt1qxZOHbsGH799VeMGjVKbaLtqKgoxMTEZNgnvbtGWFhYpt2DrK2t4ezsnH9B50CuOi2ZmZlh0KBBeR0LEVGuvH//HoMGDVItH9WjRw+sXbsWZmZmEkdGRO7u7ujduzc2b96MsWPH4vTp09DR0UFUVBSqVK6MhKSkLPeVyWSZlpsaGyM0PFzSJCrXvb7/+usvREVFIeWDBTe/+eabTw6KiCinHj58iE6dOuHOnTvQ19fHvHnzMHz4cC7JQqRFpk6dil9++QVnz57F8ePH0apVK8TExCAhKQlbAVT5oH4igEgArgBMPtgWCqBXUhJiYmIKVwL1+PFjdOzYEXfu3IGOjg6EEACg+rBSKBR5GyERURYOHTqEXr164e3bt7Czs8OuXbvwxRdfSB0WEX3AxcUFQ4cOxYIFCzB27Fi0aNFCta0KgMx6uTYosOhyR+NReCNGjEC5cuXw8uVLmJqa4t69e7hw4QLq1KmDc+fO5UOIRETq0pdkadeuHd6+fYv69evj+vXrTJ6ItNj48eNhaWmp6kdd2GmcQAUHB2Pq1KmwtraGrq4udHV10bBhQwQGBmL48OH5ESMRkcrr16/x9ddfq2YTHzp0KM6ePQtHR0eJIyOi7JQuXRrjxo0DAPz8889ITk6WOKJPo3ECpVAoYG5uDiCtF/yzZ88ApN2eCw8Pz9voiIj+4+bNm6hTpw6OHj0KExMTbNmyBUuXLoWhoaHUoRFRDowYMQJOTk6IiorCrl27pA7nk2icQFWvXh23bt0CAHh5eWHOnDm4dOkSpk6divLly+d5gEREALBlyxZ4e3sjIiJCtSRLr169pA6LiDRgYmKCKVOmAAA2bNggcTSfRuME6ueff4ZSqQSQ1qs+IiICX3zxBY4cOYIlS5bkeYBEVLylpKRg6NCh6NOnD5KSklRLsnh4eEgdGhHlgkwmQ9WqVdVWNCmMNB6F17JlS9W/K1asiLCwMLx+/RolS5bksGEiylPPnj1Dly5dcPnyZQBpS7IEBARAV1fj//cjIi2hr6+PwMBAtG/fHgDwUuJ4ckujBEoul8PExAQ3b95E9erVVeVcX4pIWomJiQCA0L8jc7xPet30fbXNhQsX0LVrV7x48QKWlpbYunUrvv76a6nDIqI80K5dO7i7u+P27duYDcBWg31D//+71J9dGiVQBgYGcHZ25lxPRFomMjISANBrxsRc7duggfbMuJK+JMtPP/0EhUKBGjVqYM+ePVyShagI0dHRQceOHXH79m2cA+CZi2NI/dml8SO8CRMmYPz48diyZQvvPBFpCVdXVwDA1gnTUMXFNUf7hP4diV4zJqr21QYfLsnSs2dPrFmzhkuyEBVBzZs3V3UobwxgQQ73CwXQC5D8s0vjBGrZsmV4+PAhHB0d4eLikuGD7fr163kWHBHljIlJ2mIHVVxcUbuSW672ldqHS7LMnz8fw4YNY99KoiIq/bNHF8B5pC3fosn9JKk/uzROoDp06JAPYRBRcfbfJVns7e2xa9cuNGzYMN/P++TxwwxlKclJePn0H9g6lYWhkfFH6xPRp2kPYC+AMQAuAigs/8ukcQIVEBCQH3EQUTGkUCgwZcoUTJs2DQDQoEED7Nq1Cw4ODvl6Xmtra5iammLx6KEa72tqagpra+t8iIqoePoewDEAlwHsB9BB0mhyTuMEiogoL7x+/Ro+Pj44duwYAGDYsGGYN29egcwq7uzsjNDQUMTExGTYdvfuXchkMgQFBamNNk5nbW0t6QrwREWNDYCRAGYC8AfwNQpHcqJxjLq6utn2SeAIPSL6mJs3b6JTp06IiIiAiYkJ1qxZU+Czijs7O2eaCKWmpgIA3NzcULt2ZmvEE1FeGwNgNYAwABsBDJQ2nBzROIHau3ev2mu5XI4bN24gKChI1ZueiCgrmzdvxvfff4+kpCSUL18ee/bs4aziRMWcJYCfkXYnKgCADwBTSSP6OI0TqPSZQ//r22+/RbVq1bBz5070798/TwIjoqIlJSUFI0eOxIoVKwAAbdq0wdatW1GyZEmJIyMibTAYwGIAkf//3V/SaD4uz9ZD+Pzzz3H69Om8OhwRFSHPnj1DkyZNVMlTQEAADh48yOSJiFSMAEz//3/PApCxh6J2yZMEKjExEUuWLIGTk1NeHI6IipALFy6gdu3aCA4OhpWVFQ4dOoTJkydzPTsiyqAHgJoA4pDWqVybafwI78NFg4UQiI+Ph6mpKbZu3ZqnwRFR4SWEwOLFizFq1CgoFAq4u7tjz549qFChgtShEZEWCf3g9UgAMgDLAHwJwLHAI8oZjROohQsXqiVQurq6sLGxgZeXF2/HExGAtCVZBg4ciB07dgAAfHx8sGbNGpiaanu3UCIqaB+Ov/UB8BWA5wDaZVI/JN8jyhmNE6i+ffvmQxhEVFQ8ePAAnTp1wt27d6Gvr48FCxZg6NChXJKFiDK1FUCV/7wuCcACgAnSpjXQVhonUBs3bkSJEiXQpUsXtfJdu3YhISEBMpksz4IjosLl4MGD6N27d4EvyUJEhVcVAFnNuJZZubasuKtxL87AwMBMlzGwtbXFzJna3uWLiPKDQqHAxIkT8c033+Dt27do0KABrl+/zuSJiIosje9ARUVFoVy5chnKXVxcEBUVlSdBEVHhIeWSLEREUtE4gbK1tcXt27fh6uqqVn7r1i2ULl06r+KiYiQqKirTNcnCwsJU3/X1M75VuSaZ9LRhSRYiIilonED16NEDw4cPh7m5ORo1agQAOH/+PEaMGIHu3bvneYBUtEVFRaFKlcpISEjKsk5W/epMTY0RGhrOJEoiXJKFiIozjROoadOmITIyEl999ZXqroBSqUSfPn3YB4o0FhMTg4SEJGzdClSpor4tMRGIjARcXQETE/VtoaFAr15JiImJYQJVwLgkCxFRLhIoQ0ND7Ny5E9OnT8fNmzdhYmKCGjVqwMXFJT/io2KiShUgs4XvGzQo+Fgoa0+fPkWXLl0QHBwMHR0dBAQEYOLEiZxVnIiKHY0TqHSfffYZPvvss7yMhYi02IULF9C1a1e8ePECVlZW2LZtG9q0aSN1WEREktD4fxs7d+6M2bNnZyifM2dOhrmhiKjwE0Jg0aJF+PLLL/HixQu4u7vj2rVrTJ6IqFjTOIG6cOFCph+crVu3xoULF/IkKCLSDu/fv0fPnj0xcuRIKBQK+Pj4IDg4mOvZEVGxp/EjvHfv3mU6v4uBgQHi4uLyJCgikh6XZCEiyprGd6Bq1KiBnTt3Zij/5ZdfULVq1TwJioikdfDgQdSpUwd3796Fvb09zp49i2HDhjF5IiL6fxrfgZo4cSI6deqER48e4csvvwQAnD59Gtu3b8fu3bvzPEAiKjgKhQKTJ0/G9OnTAQANGzbEr7/+CgcHB4kjIyLSLhonUO3atcO+ffswc+ZM7N69GyYmJvDw8MCZM2dQqlSp/IiRiArAh0uyDB8+HPPmzYOBgYHEkRFRURaaSVkigEgArgA+mAYw0/pSyNU0Bm3btkXbtm0BAHFxcdixYwdGjRqFkJAQKBSKPA2QiPLfjRs30LlzZ9WSLGvXroWPj4/UYRFREWZtbQ1TY2P0Ssp6JYqsmBobw9raOh+iyrlczwN14cIFrF+/Hr/99hscHR3RqVMnLF++PC9jI6ICcOjQIQQGBiIpKQkVKlTAnj174O7uLnVYRFTEOTs7IzQ8PNO1UO/evQuZTIagoCBUr149w3ZtWAtVowQqOjoamzZtwvr16xEXF4euXbsiOTkZ+/btYwdyokJGnpoKAAgICACQdmd5y5YtXJKFiAqMs7NzpolQ6v9/Prm5uaF2ZstUaIEcj8Jr164dKleujNu3b2PRokV49uwZli5dmidBLF++HK6urjA2NoaXlxf++OOPbOvHxsbC19cXDg4OMDIyQqVKlXDkyJFPOiZpn+ho4Ngx4PJl4N494MkTIC4OUCqljqzwe/rqJQbNmwEA0NHRwZQpU3DgwAEmT0REOZTjO1BHjx7F8OHDMXjw4DxdwmXnzp3w8/PDqlWr4OXlhUWLFqFly5YIDw+Hra1thvopKSlo3rw5bG1tsXv3bjg5OeHvv/+GlZVVro9J0gv9oFdgVBTQs2fagsKZKVEi7XvXrl1hZ2cHS0tLWFpawsLCQu17Vv+2sLCAkZFR/l6Uljp/MwRdp4zHyzevAQCLFi3C8OHDJY6KiKhwyXECdfHiRaxfvx6enp6oUqUKevfuje7du39yAAsWLMDAgQPRr18/AMCqVatw+PBhbNiwAePGjctQf8OGDXj9+jUuX76sGh3k6ur6Scck6fXqpf7a2BhISgLs7dPuRH3o3bu0748ePcKjR49ydU4jI6OPJl0fS8RKlChRaBbSFUJg0e4dGL1yCRRKBT4rUxYPnvyDhg0bSh0aEVGhk+ME6vPPP8fnn3+ORYsWYefOndiwYQP8/PygVCpx8uRJlC1bFubm5hqdPCUlBSEhIfD391eV6erqolmzZggODs50nwMHDsDb2xu+vr7Yv38/bGxs0LNnT4wdOxZ6enq5OmZycjKSk5NVr9NnVJfL5ZDL5Rpd06dIP1dBnlNq6c+5t24FqlRJu+PUvz8QHg5Urw6cOQP8809aXSGA5OS05On9e6BTJ2DZsmWwsbFBXFwc4uLi8PbtW7V/x8fH4+3bt2r/fvf/2VdycjJevnyJly9f5jp+HR0dmJubw9LSUvXdwsJCLQFL//d/t3+47VPvhqW3Y1beJSRgwNzp2Hn2JACgV/PW+OGbzmg4bABSU1OL1XvuY/77e8h2yag4fk4VBLarOql+DzU5l8aj8MzMzPDdd9/hu+++Q3h4ONavX49Zs2Zh3LhxaN68OQ4cOJDjY8XExEChUMDOzk6t3M7ODmFhYZnu8/jxY5w5cwY+Pj44cuQIHj58iCFDhkAulyMgICBXxwwMDMSUKVMylJ84cQKmpqY5vp68cvLkyQI/p1TS7x5VqQLUrAl07ZqWPNnYAAcPpn23scm43/Xrad+Tk5NhZGQEGxsb2GRWMRMKhQKJiYlISEjQ+Ov9+/eqfVNTUyGEUCVsn0JfXx9mZmYwNTWFiYmJ6t85/Xrx4kWWx37wJAodfx6Ne5GPoa+nh4W+fvDt2AU3HoQDSLu7/Pz580+KvyhJf09evXo109FBlKY4fU4VJLZrGql+DxMSEnJcN9fTGABA5cqVMWfOHAQGBuLgwYPYsGHDpxwuR5RKJWxtbbFmzRro6enB09MTT58+xdy5c1WjiTTl7+8PPz8/1eu4uDiULVsWLVq0gIWFRV6F/lFyuRwnT55E8+bNi83khTdu3FD9OyAA+O03wNAQ2LMH+ODJbKYaNmyIWrVq5V+AWRBCIDk5OcPdrf/+O7O7Yh++jo+PB5B2Byl9/0/RYGh/WJiaoYSJKcxMTFDS3Bw3H95H3Pv3sLa0wuzvh6FmxUq48SAcoX9HApCuDbVV+oATLy8v1KtXT+JotE9x/JwqCGxXdVL9HmryP8OflECl09PTQ4cOHdChQweN9rO2toaenl6G/3t+8eIF7O3tM93HwcEBBgYG0NPTU5VVqVIF0dHRSElJydUxjYyMMn2EYmBgIMkbWarzSkFfP+0tePQo8P+rh2DNGiCn3XL09fUlaytDQ0OYm5ujTJkyuT6GQqFAfHy8WmKVnkjltOzt27eq285JKSlISknBy9g3aufxrFQFIfdD0X/OtAwxSNmG2ii9LYrT72FusH3yB9s1jVS/h5qcK08SqNwyNDSEp6cnTp8+rUq+lEolTp8+jaFDh2a6T4MGDbB9+3YolUpV59379+/DwcEBhoaGAKDxMUl6U6emfR8zBpDJpI2lIOnp6cHKykptFGluBAcHo379+pg3eATsSpbCu6REvEtMgFAKuDo4olU9bzx48o/aPqF/R6LXjImfdF4iouJK0gQKAPz8/CCTyVCnTh3Uq1cPixYtwvv371Uj6Pr06QMnJycEBgYCAAYPHoxly5ZhxIgRGDZsGB48eICZM2eqDcP+2DFJe0T//xC7lBTgm2+AmTMlDqiQSr+D2rRWHdSu5JZpnazKiYhIc5InUN26dcOrV68wadIkREdHo2bNmjh27JiqE3hUVJTaMPGyZcvi+PHjGDlyJNzd3eHk5IQRI0Zg7NixOT4maYf379+r+p5VrJg2Eu8/T2aJiIi0luQJFAAMHTo0y8dr586dy1Dm7e2NK1eu5PqYJD2lUonevXsjPDxtJNiiRYCGs2AQERFJpnDMAEhFzsSJE7F3715Vhz0HB4kDIiIi0gATKCpw27Ztw8z/7+w0cSI7MRMRUeHDBIoK1JUrV9C/f38AwLhx49C2bVuJIyIiItIcEygqMFFRUejQoQOSk5PRvn17zJgxQ+qQiIiIcoUJFBWId+/e4ZtvvsGLFy/g4eGBrVu3FppFeImIiD7Ev2CU79JH3N26dQu2trY4cOAASpQoIXVYREREuaYV0xhQ0fbzzz9j3759MDQ0xL59++Ds7KzalpiYCAAIDdXsmOn10/cnIiIqSEygKF9t2bJFNYv8+vXr4e3trbY9MjISANCrV+6OHxkZiQYNGnxKiERERBpjAkX5Jjg4GAMGDAAAjB8/Hr0yyZJcXV0BpM1CXqVKzo8dGpqWdKXvT0REVJCYQFG++Pvvv9GhQwekpKSgY8eOmDZtWqb1TExMAKQlT7Vra36e9P2JiIgKEjuRU55LH3H38uVL1KxZE5s3b+aIOyIiKlL4V43ylFKphI+PD27fvg07OzuOuCMioiKJCRTlqfHjx+PAgQMwMjLCvn37ULZsWalDIiIiynPsA0V5ZvPmzZg9ezYAYMOGDfj8889zvG9m0xgkJgKRkYCrK/BhVydNpz0gIiLtlpCQgLCwMABQ+66vn5aquLm5wdTUVLL4PsQEivLEpUuXMHDgQADAhAkT0LNnzxztZ21tDVNTY/TqlaTxOU1NjWFtba3xfkREpH3CwsLg6empViaTyVT/DgkJQe3cjDbKJ0yg6JNFRkaiY8eOSElJQadOnTB16tQc7+vs7IzQ0HDExMRk2Hb37l3IZDIEBQWhevXqGbZbW1urTcpJRESFl5ubG0JCQgAA8fHx2L9/P9q3bw9zc3PVdm3CBIo+SXx8PL755hu8evUKtWrVytWIO2dn50wTodTUVABpvzTa9H8dRESU90xNTVWf9XK5HLGxsahfvz4MDAwkjixz7EROuaZQKODj44M7d+7A3t4e+/fvh5mZmdRhERER5TsmUJRr48ePx8GDB2FsbIz9+/dzxB0RERUbTKAoVzZt2oQ5c+YASBtxV69ePYkjIiIiKjjsA0Uau3jxIgYNGgQAmDhxInr06JFnxy5sw1iJiKh4YgJFGkkfcSeXy9G5c2dMnjw5T49f2IaxEhFR8cQEinIsPj4e7dq1Q0xMDGrXro2goKA8X+OusA1jJSKi4okJFOWIQqFAz549cffuXTg4OOTbiLvCNoyViIiKJ3YipxwZN24cDh06pBpxV6ZMGalDIiIikgwTKPqojRs3Yt68eQDSRt/VrVtX4oiIiIikxQSKsvX777/j+++/BwBMmjQJ3bp1kzgiIiIi6TGBoixFRESgU6dOkMvl6NKlCwICAqQOiYiISCswgaJMxcXFqUbceXp6YtOmTXk+4o6IiKiw4l9EykChUKBHjx64d++easQdJ68kIiL6HyZQlMGYMWNw5MgRGBsb48CBA3BycpI6JCIiIq3CBIrUrF+/HgsWLAAABAUFoU6dOhJHREREpH2YQJHKhQsXMHjwYADA5MmT0bVrV4kjIiIi0k5MoAgA8PjxY9WIu27dumHSpElSh0RERKS1mEAR3r59i3bt2uHff/9FnTp1sHHjRujo6EgdFhERkdZiAlXMpY+4++uvv+Do6Ij9+/fDxMRE6rCIiIi0GhOoYm706NE4evQoTExMcODAATg6OkodEhERkdZjAlWMrVu3DgsXLgSQNuLO09NT4oiIiIgKByZQxdS5c+dUI+6mTp2KLl26SBwRERFR4cEEqhh69OgROnfujNTUVHTv3h0///yz1CEREREVKkygipn0EXevX79G3bp1sWHDBo64IyIi0pC+1AFQwUlNTUW3bt0QGhoKJycnjrgrgkL/jlB7nZicjMjo53C1d4CJkVG2dYuzhIQEhIWFAYDad339/31Eurm5cU1IIlJhAlWMjBo1CsePH1eNuHNwcJA6JMoj1tbWMDU1Ra8Zmk2AampqCmtr63yKqvAICwvLMIhCJpOpvQ4JCUHt2rULMiwi0mJMoIqJNWvWYPHixQCALVu28A9BEePs7IzQ0FDExMSold+9excymQxBQUGoXr16hv2sra3h7OxcUGFqLTc3N4SEhAAA4uPjsX//frRv3x7m5uZqdYiI0jGBKgbOnj0LX19fAMC0adPQuXNniSOi/ODs7JwhGUpNTQWQ9sefSXPWTE1NVe0jl8sRGxuL+vXrw8DAQOLIiEhbsRN5Effw4UPViLsePXpgwoQJUodERERU6DGBKsJiY2PRrl07vHnzBvXq1cP69es54o6IiCgPMIEqotJH3IWFhaFMmTLYt28fR9wRERHlESZQRdRPP/2EEydOwNTUlCPuiIiI8hgTqCJo1apVWLJkCYC0EXe1atWSOCIiIqKihQlUEXPmzBkMHToUADBjxgx06tRJ4oiIiIiKHiZQRciDBw/w7bffQqFQwMfHB/7+/lKHREREVCQxgSoi3rx5g6+//hpv3rzB559/jnXr1nHEHRERUT5hAlUEpKamomvXrrh//z7Kli2LvXv3wtjYWOqwiIiIiiwmUEXAyJEjcerUKdWIO3t7e6lDIiIiKtK4lIvE/rsKfHx8PM6fPw8rK6sMa3BltQr8ypUrsWzZMgDAtm3bULNmzXyPmYiIqLhjAiWxzFaBX7hwodrrrFaBP3XqFIYNGwYACAwMRIcOHfItTiIiIvofJlAS++8q8Hfv3oVMJkNQUBCqV6+uVudD9+/fR5cuXaBQKNC7d2+MHTu2wGImIiIq7phASey/q8CnpqYCSEuYMrvjlO7Nmzdo164dYmNj4e3tjTVr1nDEHRERUQHSik7ky5cvh6urK4yNjeHl5YU//vgjy7qbNm2Cjo6O2teHI85evHiBvn37wtHREaampmjVqhUePHiQ35dRIORyObp06YL79+/D2dmZI+6IiIgkIHkCtXPnTvj5+SEgIADXr1+Hh4cHWrZsiZcvX2a5j4WFBZ4/f676+vvvv1XbhBDo0KEDHj9+jP379+PGjRtwcXFBs2bN8P79+4K4pHz1448/4vTp0zAzM8OBAwdgZ2cndUhERETFjuQJ1IIFCzBw4ED069cPVatWxapVq2BqaooNGzZkuY+Ojg7s7e1VX/9NIh48eIArV65g5cqVqFu3LipXroyVK1ciMTERO3bsKIhLyjfLly/HihUroKOjg+3bt8PDw0PqkIiIiIolSftApaSkICQkRG3JEV1dXTRr1gzBwcFZ7vfu3Tu4uLhAqVSidu3amDlzJqpVqwYASE5OBgC1x1q6urowMjLCxYsXMWDAgAzHS05OVu0HAHFxcQDSHpfJ5fJPu0gNpJ8rs/OeOnUKI0aMAABMnz4drVu3LtDYpPDf9qDcye49RZnj+y57bJ/8wXZVJ1V7aHI+SROomJgYKBSKDI+h7OzsVHMjfahy5crYsGED3N3d8fbtW8ybNw/169fHvXv3UKZMGbi5ucHZ2Rn+/v5YvXo1zMzMsHDhQjx58gTPnz/P9JiBgYGYMmVKhvITJ05kOf9Sfnj06BEA4OrVq4iJiVGVP336FKNHj4ZCoUDTpk1RtWpVHDlypMDiktrJkyelDqHQyuo9RR/H91322D75g+2qrqDbIyEhIcd1C90oPG9vb3h7e6te169fH1WqVMHq1asxbdo0GBgYYM+ePejfvz9KlSoFPT09NGvWDK1bt4YQItNj+vv7w8/PT/U6Li4OZcuWRYsWLWBhYZHv15QuvfO8l5cX6tWrBwB4/fo1GjZsiISEBHh7e+PAgQMwMjIqsJikJJfLcfLkSTRv3hwGBgZSh1MoZfaeouzxfZc9tk/+YLuqk6o90p9A5YSkCZS1tTX09PTw4sULtfIXL17keDkSAwMD1KpVCw8fPlSVeXp64ubNm3j79i1SUlJgY2MDLy8v1KlTJ9NjGBkZZZqUGBgY5MsPLioqKtO7Ael3Cx49egQTExPI5XIMGzYMDx8+hL29PZYtW4YSJUrkeTzaLr9+DsVBeruxDTXHNsse2yd/sF3VFXR7aHIuSRMoQ0NDeHp64vTp06pZtJVKJU6fPo2hQ4fm6BgKhQJ37txBmzZtMmyztLQEkNax/Nq1a5g2bVqexZ5bUVFRqOJWGQmJSVnWkclkGcqio6PxRcMGCA0Lh7Ozc36GSERERB8h+SM8Pz8/yGQy1KlTB/Xq1cOiRYvw/v179OvXDwDQp08fODk5ITAwEAAwdepUfP7556hYsSJiY2Mxd+5c/P3332qdw3ft2gUbGxs4Ozvjzp07GDFiBDp06IAWLVpIco3/FRMTg4TEJGwdAlRxVN+WmAJExgCu1sCB68CcQ4CODrDAB7CxAHqtSEJMTAwTKCIiIolJnkB169YNr169wqRJkxAdHY2aNWvi2LFjqo7lUVFR0NX932wLb968wcCBAxEdHY2SJUvC09MTly9fRtWqVVV1nj9/Dj8/P7x48QIODg7o06cPJk6cWODXlp0qjkDtchnLG1QGTtwG5h1Oez27O/Bja+B6RMHGR0RERFmTPIECgKFDh2b5yO7cuXNqrxcuXJhhsd0PDR8+HMOHD8+r8ApU2DOg61JAKQDZF8CotlJHRERERB+SfCJN+p/X74B284C3CUCDSsDq/mmP8IiIiEi7aMUdqOIo9Jn66xLGwA8bgIcvAAcrYEpn4N4TSUIjIiKij2ACJZFeK9Rfd/UC9HQBU0PgeSzQLFB9e8j0AguNiIiIPoIJlEQ+HIVX0gwoUwq4EQno60kWFhEREeUAEyiJZDUKr17FzOtzFB4REZH2YCdyIiIiIg3xDlQBS0xMBJCxE/nHpNdP35+IiIikwwSqgEVGRgLI2Ilck/0bNGiQdwERERGRxphAFTBXV1cAGTuRf0zos7SkK31/IiIikg77QBUwExOTLLclpqQlSokpudufiIiICgbvQBUwa2trmJoYo9eKJI33NTUxhrW1dT5ERURERJpgAlXAnJ2dERoWjpiYmAzb7t69C5lMhqCgIFSvXj3Ddmtrazg7OxdEmERERJQNJlAScHZ2zjQRSk1NBQC4ubmhdu3aBR0WERER5RATKIklJCQgLCwMANS+6+v/70fj5uYGU1NTSeIjIiKijJhASSwsLAyenp5qZTKZTO11SEgI70gRERFpESZQEnNzc0NISAgAID4+Hvv370f79u1hbm6uVoeIiIi0BxMoiZmamqruLsnlcsTGxqJ+/fowMDCQODIiIiLKCueBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItIQEygiIiIiDTGBIiIiItKQvtQBEFHeSkhIQFhYGACofdfX/9+vu5ubG0xNTSWJj4ioKGACRVTEhIWFwdPTU61MJpOpvQ4JCUHt2rULMiwioiKFCRRREePm5oaQkBAAQHx8PPbv34/27dvD3NxcrQ4REeUeEyiiIsbU1FR1d0kulyM2Nhb169eHgYGBxJERERUdWtGJfPny5XB1dYWxsTG8vLzwxx9/ZFl306ZN0NHRUfsyNjZWq/Pu3TsMHToUZcqUgYmJCapWrYpVq1bl92UQERFRMSH5HaidO3fCz88Pq1atgpeXFxYtWoSWLVsiPDwctra2me5jYWGB8PBw1WsdHR217X5+fjhz5gy2bt0KV1dXnDhxAkOGDIGjoyO++eabfL0eIiIiKvokvwO1YMECDBw4EP369VPdKTI1NcWGDRuy3EdHRwf29vaqLzs7O7Xtly9fhkwmQ5MmTeDq6opBgwbBw8Mj2ztbRERERDkl6R2olJQUhISEwN/fX1Wmq6uLZs2aITg4OMv93r17BxcXFyiVStSuXRszZ85EtWrVVNvr16+PAwcO4LvvvoOjoyPOnTuH+/fvY+HChZkeLzk5GcnJyarXcXFxANL6j8jl8k+9zBxLP1dBnlObsT0+HdtQc2yz7LF98gfbVZ1U7aHJ+XSEECIfY8nWs2fP4OTkhMuXL8Pb21tVPmbMGJw/fx5Xr17NsE9wcDAePHgAd3d3vH37FvPmzcOFCxdw7949lClTBkBaQjRo0CBs3rwZ+vr60NXVxdq1a9GnT59M45g8eTKmTJmSoXz79u2cK4eIiKiYSEhIQM+ePfH27VtYWFhkW1fyPlCa8vb2Vku26tevjypVqmD16tWYNm0aAGDp0qW4cuUKDhw4ABcXF1y4cAG+vr5wdHREs2bNMhzT398ffn5+qtdxcXEoW7YsWrRo8dEGzEtyuRwnT55E8+bNOWIKbI+8wDbUHNsse2yf/MF2VSdVe6Q/gcoJSRMoa2tr6Onp4cWLF2rlL168gL29fY6OYWBggFq1auHhw4cAgMTERIwfPx579+5F27ZtAQDu7u64efMm5s2bl2kCZWRkBCMjo0yPLcUbWarzaiu2x6djG2qObZY9tk/+YLuqK+j20ORcknYiNzQ0hKenJ06fPq0qUyqVOH36tNpdpuwoFArcuXMHDg4OAP7Xb0lXV/3S9PT0oFQq8y54IiIiKrYkf4Tn5+cHmUyGOnXqoF69eli0aBHev3+Pfv36AQD69OkDJycnBAYGAgCmTp2Kzz//HBUrVkRsbCzmzp2Lv//+GwMGDACQNsVB48aNMXr0aJiYmMDFxQXnz5/H5s2bsWDBAsmuk4iIiIoOyROobt264dWrV5g0aRKio6NRs2ZNHDt2TDU1QVRUlNrdpDdv3mDgwIGIjo5GyZIl4enpicuXL6Nq1aqqOr/88gv8/f3h4+OD169fw8XFBTNmzMAPP/xQ4NdHRERERY/kCRQADB06FEOHDs1027lz59ReL1y4MMvpCNLZ29tj48aNeRUeERERkRrJJ9IkIiIiKmyYQBERERFpSCse4Wmb9LlFNZkPIi/I5XIkJCQgLi6Ow1jB9sgLbEPNsc2yx/bJH2xXdVK1R/rf/ZzMMc4EKhPx8fEAgLJly0ocCRERERW0+Ph4WFpaZltH0qVctJVSqcSzZ89gbm4OHR2dAjtv+gzo//zzT4HOgK6t2B6fjm2oObZZ9tg++YPtqk6q9hBCID4+Ho6Ojhnmk/wQ70BlQldXV7WunhQsLCz4C/QfbI9PxzbUHNsse2yf/MF2VSdFe3zszlM6diInIiIi0hATKCIiIiINMYHSIkZGRggICMh0YePiiO3x6diGmmObZY/tkz/YruoKQ3uwEzkRERGRhngHioiIiEhDTKCIiIiINMQEioiIiEhDTKCIiIiINMQESossX74crq6uMDY2hpeXF/744w+pQyoQFy5cQLt27eDo6AgdHR3s27dPbXvfvn2ho6Oj9tWqVStpgtVSK1euhLu7u2rSOW9vbxw9elS1/fvvv0eFChVgYmICGxsbtG/fHmFhYRJGLK3JkydneE+5ubmpticlJcHX1xelS5dGiRIl0LlzZ7x48ULCiKXx9OlT9OrVC6VLl4aJiQlq1KiBa9euqdUJDQ3FN998A0tLS5iZmaFu3bqIioqSKGLtp1AoMHHiRJQrVw4mJiaoUKECpk2bprb2WlH9zPvYZ70QApMmTYKDgwNMTEzQrFkzPHjwQK3O69ev4ePjAwsLC1hZWaF///549+5dAV7F/zCB0hI7d+6En58fAgICcP36dXh4eKBly5Z4+fKl1KHlu/fv38PDwwPLly/Psk6rVq3w/Plz1deOHTsKMELtV6ZMGcyaNQshISG4du0avvzyS7Rv3x737t0DAHh6emLjxo0IDQ3F8ePHIYRAixYtoFAoJI5cOtWqVVN7T128eFG1beTIkTh48CB27dqF8+fP49mzZ+jUqZOE0Ra8N2/eoEGDBjAwMMDRo0fx119/Yf78+ShZsqSqzqNHj9CwYUO4ubnh3LlzuH37NiZOnAhjY2MJI9dus2fPxsqVK7Fs2TKEhoZi9uzZmDNnDpYuXapWryh+5n3ss37OnDlYsmQJVq1ahatXr8LMzAwtW7ZEUlKSqo6Pjw/u3buHkydP4tChQ7hw4QIGDRpUUJegTpBWqFevnvD19VW9VigUwtHRUQQGBkoYVcEDIPbu3atWJpPJRPv27SWJpzArWbKkWLduXabbbt26JQCIhw8fFnBU2iEgIEB4eHhkui02NlYYGBiIXbt2qcpCQ0MFABEcHFxAEUpv7NixomHDhtnW6datm+jVq1cBRVQ0tG3bVnz33XdqZZ06dRI+Pj6q18XhM+/Dz3qlUins7e3F3LlzVWWxsbHCyMhI7NixQwghxF9//SUAiD///FNV5+jRo0JHR0c8ffq0wGJPxztQWiAlJQUhISFo1qyZqkxXVxfNmjVDcHCwhJFpj3PnzsHW1haVK1fG4MGD8e+//0odktZSKBT45Zdf8P79e3h7e2fY/v79e2zcuBHlypVD2bJlJYhQOzx48ACOjo4oX748fHx8VI+dQkJCIJfL1X4f3dzc4OzsXKx+Hw8cOIA6deqgS5cusLW1Ra1atbB27VrVdqVSicOHD6NSpUpo2bIlbG1t4eXlleGxDKmrX78+Tp8+jfv37wMAbt26hYsXL6J169Zq9YrbZ15ERASio6PVfu8sLS3h5eWl+r0LDg6GlZUV6tSpo6rTrFkz6Orq4urVqwUeMxMoLRATEwOFQgE7Ozu1cjs7O0RHR0sUlfZo1aoVNm/ejNOnT2P27Nk4f/48WrduXawfP2Xmzp07KFGiBIyMjPDDDz9g7969qFq1qmr7ihUrUKJECZQoUQJHjx7FyZMnYWhoKGHE0vHy8sKmTZtw7NgxrFy5EhEREfjiiy8QHx+P6OhoGBoawsrKSm2f4vb7+PjxY6xcuRKfffYZjh8/jsGDB2P48OEICgoCALx8+RLv3r3DrFmz0KpVK5w4cQIdO3ZEp06dcP78eYmj117jxo1D9+7d4ebmBgMDA9SqVQs//vgjfHx8VHWK42de+u9Wdn8Ho6OjYWtrq7ZdX18fpUqVkuR3U7/Az0ikoe7du6v+XaNGDbi7u6NChQo4d+4cvvrqKwkj0y6VK1fGzZs38fbtW+zevRsymQznz59XJVE+Pj5o3rw5nj9/jnnz5qFr1664dOlSseyv8t//23d3d4eXlxdcXFzw66+/wsTERMLItIdSqUSdOnUwc+ZMAECtWrVw9+5drFq1CjKZDEqlEgDQvn17jBw5EgBQs2ZNXL58GatWrULjxo0li12b/frrr9i2bRu2b9+OatWq4ebNm/jxxx/h6OgImUwGgJ95hQXvQGkBa2tr6OnpZRjl8+LFC9jb20sUlfYqX748rK2t8fDhQ6lD0SqGhoaoWLEiPD09ERgYCA8PDyxevFi13dLSEp999hkaNWqE3bt3IywsDHv37pUwYu1hZWWFSpUq4eHDh7C3t0dKSgpiY2PV6hS330cHBwe1O5gAUKVKFdWjTmtra+jr62dbhzIaPXq06i5UjRo10Lt3b4wcORKBgYFZ7lMcPvPSf7ey+ztob2+fYWBVamoqXr9+LcnvJhMoLWBoaAhPT0+cPn1aVaZUKnH69OlM+7AUd0+ePMG///4LBwcHqUPRakqlEsnJyZluE0JACJHl9uLm3bt3ePToERwcHODp6QkDAwO138fw8HBERUUVq9/HBg0aIDw8XK3s/v37cHFxAZD2uVW3bt1s61BGCQkJ0NVV/9Orp6enuqOXmeLwmVeuXDnY29ur/d7FxcXh6tWrqt87b29vxMbGIiQkRFXnzJkzUCqV8PLyKvCYOQpPS/zyyy/CyMhIbNq0Sfz1119i0KBBwsrKSkRHR0sdWr6Lj48XN27cEDdu3BAAxIIFC8SNGzfE33//LeLj48WoUaNEcHCwiIiIEKdOnRK1a9cWn332mUhKSpI6dK0xbtw4cf78eRERESFu374txo0bJ3R0dMSJEyfEo0ePxMyZM8W1a9fE33//LS5duiTatWsnSpUqJV68eCF16JL46aefxLlz50RERIS4dOmSaNasmbC2thYvX74UQgjxww8/CGdnZ3HmzBlx7do14e3tLby9vSWOumD98ccfQl9fX8yYMUM8ePBAbNu2TZiamoqtW7eq6uzZs0cYGBiINWvWiAcPHoilS5cKPT098fvvv0sYuXaTyWTCyclJHDp0SERERIg9e/YIa2trMWbMGCGEKNKfedl91gshxKxZs4SVlZXYv3+/uH37tmjfvr0oV66cSExMVB2jVatWolatWuLq1avi4sWL4rPPPhM9evSQ5HqYQGmRpUuXCmdnZ2FoaCjq1asnrly5InVIBeLs2bMCQIYvmUwmEhISRIsWLYSNjY0wMDAQLi4uYuDAgcUisdTEd999J1xcXIShoaGwsbERX331lThx4oQQQoinT5+K1q1bC1tbW2FgYCDKlCkjevbsKcLCwiSOWjrdunUTDg4OwtDQUDg5OYlu3bqpTemQmJgohgwZIkqWLClMTU1Fx44dxfPnzyWMWBoHDx4U1atXF0ZGRsLNzU2sWbMmQ53169eLihUrCmNjY+Hh4SH27dsnQaSFR1xcnBgxYoRwdnYWxsbGonz58mLChAkiOTlZCCGK9Gdedp/1QqRNZTBx4kRhZ2cnjIyMxFdffSXCw8PVjvHvv/+KHj16iBIlSggLCwvRr18/ER8fL8HVCKEjxH+mPyUiIiKij2IfKCIiIiINMYEiIiIi0hATKCIiIiINMYEiIiIi0hATKCIiIiINMYEiIiIi0hATKCIiIiINMYEiIiIi0hATKCLKN66urli0aJHUYQAAJk+ejJo1a0odhiRSUlJQsWJFXL58+ZOO4erqimvXruVhZESFFxMoomKob9++0NHRyfDVqlUrqUPLEzo6Oti3b59a2ahRo9QWKs0vrq6uqvY0NTVFjRo1sG7dOo2Pk9k15NaqVatQrlw51K9fHwCQnJyM3r17w8LCApUqVcKpU6fU6s+dOxfDhg1TKzM0NMSoUaMwduzYPImJqLBjAkVUTLVq1QrPnz9X+9qxY4fUYeWbEiVKoHTp0gVyrqlTp+L58+e4e/cuevXqhYEDB+Lo0aMFcu4PCSGwbNky9O/fX1W2Zs0ahISEIDg4GIMGDULPnj2RvqpXREQE1q5dixkzZmQ4lo+PDy5evIh79+4VWPxE2ooJFFExZWRkBHt7e7WvkiVLAgDOnTsHQ0ND/P7776r6c+bMga2tLV68eAEAaNKkCYYOHYqhQ4fC0tIS1tbWmDhxIrJbXnPBggWoUaMGzMzMULZsWQwZMgTv3r1Tbd+0aROsrKxw/PhxVKlSBSVKlFAleun+/PNPNG/eHNbW1rC0tETjxo1x/fp11XZXV1cAQMeOHaGjo6N6/eEjPKVSialTp6JMmTIwMjJCzZo1cezYMdX2yMhI6OjoYM+ePWjatClMTU3h4eGB4ODgj7atubk57O3tUb58eYwdOxalSpXCyZMnP/kaAGD//v2oXbs2jI2NUb58eUyZMgWpqalZxhISEoJHjx6hbdu2qrLQ0FB88803qFatGnx9ffHq1SvExMQAAAYPHozZs2fDwsIiw7FKliyJBg0a4JdffvloGxAVdUygiCiDJk2a4Mcff0Tv3r3x9u1b3LhxAxMnTsS6detgZ2enqhcUFAR9fX388ccfWLx4MRYsWJDt4ypdXV0sWbIE9+7dQ1BQEM6cOYMxY8ao1UlISMC8efOwZcsWXLhwAVFRURg1apRqe3x8PGQyGS5evIgrV67gs88+Q5s2bRAfHw8gLTkBgI0bN+L58+eq1x9avHgx5s+fj3nz5uH27dto2bIlvvnmGzx48ECt3oQJEzBq1CjcvHkTlSpVQo8ePbJNWP5LqVTit99+w5s3b2BoaPjJ1/D777+jT58+GDFiBP766y+sXr0amzZtyvRuUbrff/8dlSpVgrm5uarMw8MDFy9eRGJiIo4fPw4HBwdYW1tj27ZtMDY2RseOHbM8Xr169dQSa6JiSxBRsSOTyYSenp4wMzNT+5oxY4aqTnJysqhZs6bo2rWrqFq1qhg4cKDaMRo3biyqVKkilEqlqmzs2LGiSpUqqtcuLi5i4cKFWcaxa9cuUbp0adXrjRs3CgDi4cOHqrLly5cLOzu7LI+hUCiEubm5OHjwoKoMgNi7d69avYCAAOHh4aF67ejoqHa9QghRt25dMWTIECGEEBEREQKAWLdunWr7vXv3BAARGhqaZTwuLi7C0NBQmJmZCX19fQFAlCpVSjx48OCTr+Grr74SM2fOVCvbsmWLcHBwyPLYI0aMEF9++aVaWUpKihgyZIhwdXUVderUEb///rv4999/Rfny5UVUVJSYMGGCqFChgmjRooV48uSJ2r6LFy8Wrq6uWZ6PqLjQlzJ5IyLpNG3aFCtXrlQrK1WqlOrfhoaG2LZtG9zd3eHi4oKFCxdmOMbnn38OHR0d1Wtvb2/Mnz8fCoUCenp6GeqfOnUKgYGBCAsLQ1xcHFJTU5GUlISEhASYmpoCAExNTVGhQgXVPg4ODnj58qXq9YsXL/Dzzz/j3LlzePnyJRQKBRISEhAVFZXja4+Li8OzZ8/QoEEDtfIGDRrg1q1bamXu7u5qsQDAy5cv4ebmluXxR48ejb59++L58+cYPXo0hgwZgooVK37yNdy6dQuXLl1Su+OkUCgytOF/JSYmwtjYWK3MwMAAy5cvVyvr168fhg8fjhs3bmDfvn24desW5syZg+HDh+O3335T1TMxMUFCQkK2cRIVB0ygiIopMzMztT/qmUkf9v769Wu8fv0aZmZmuT5fZGQkvv76awwePBgzZsxAqVKlcPHiRfTv3x8pKSmqP/4GBgZq++no6Kj1q5LJZPj333+xePFiuLi4wMjICN7e3khJScl1bNn5bzzpyaJSqcx2H2tra1SsWBEVK1bErl27UKNGDdSpUwdVq1b9pGt49+4dpkyZgk6dOmXY9mGS9N9Y7ty5k+1xz549i3v37mHdunUYPXo02rRpAzMzM3Tt2hXLli1Tq/v69WvY2Nhkezyi4oB9oIgoU48ePcLIkSOxdu1aeHl5QSaTZUgcrl69qvY6vT9PZnefQkJCoFQqMX/+fHz++eeoVKkSnj17pnFcly5dwvDhw9GmTRtUq1YNRkZGqg7Q6QwMDKBQKLI8hoWFBRwdHXHp0qUMx05PcvJK2bJl0a1bN/j7+3/yNdSuXRvh4eGq5Oy/X7q6mX+c16pVC2FhYVl27k9KSoKvry9Wr14NPT09KBQKyOVyAIBcLs8Qw927d1GrVi2N24GoqGECRVRMJScnIzo6Wu0r/Y+4QqFAr1690LJlS/Tr1w8bN27E7du3MX/+fLVjREVFwc/PD+Hh4dixYweWLl2KESNGZHq+ihUrQi6XY+nSpXj8+DG2bNmCVatWaRz3Z599hi1btiA0NBRXr16Fj48PTExM1Oq4urri9OnTiI6Oxps3bzI9zujRozF79mzs3LkT4eHhGDduHG7evJll/J9ixIgROHjwoGoSytxew6RJk7B582ZMmTIF9+7dQ2hoKH755Rf8/PPPWZ67adOmePfuXZZTD0ybNg1t2rRRJUUNGjTAnj17cPv2bSxbtizDY87ff/8dLVq0yHVbEBUZUnfCIqKCJ5PJBIAMX5UrVxZCCDFlyhTh4OAgYmJiVPv89ttvwtDQUNy8eVMIkdaJfMiQIeKHH34QFhYWomTJkmL8+PFqnco/7ES+YMEC4eDgIExMTETLli3F5s2bBQDx5s0bIURaJ3JLS0u1WPfu3Sv++1F1/fp1UadOHWFsbCw+++wzsWvXrgznOXDggKhYsaLQ19cXLi4uQoiMncgVCoWYPHmycHJyEgYGBsLDw0McPXpUtT29E/mNGzdUZW/evBEAxNmzZ7Ns26w6zrds2VK0bt36k65BCCGOHTsm6tevL0xMTISFhYWoV6+eWLNmTZbxCCFE165dxbhx4zKU37lzR1SsWFG8e/dOrV0GDx4sLCwsRN26ddU6v1++fFlYWVmJhISEbM9HVBzoCJHNpC1ERFlo0qQJatasqTVLtVDWbt++jebNm+PRo0coUaJEro/TrVs3eHh4YPz48XkYHVHhxEd4RERFnLu7O2bPno2IiIhcHyMlJQU1atTAyJEj8zAyosKLd6CIKFd4B4qIijMmUEREREQa4iM8IiIiIg0xgSIiIiLSEBMoIiIiIg0xgSIiIiLSEBMoIiIiIg0xgSIiIiLSEBMoIiIiIg0xgSIiIiLS0P8B9aO8jplN4FEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtered_exp_rate = experiments.copy()\n",
    "\n",
    "filtered_exp_rate = filtered_exp_rate.query(\"(dataset == 'cqa' and model == 't5-v1_1-base' and subsample == 1.0 and label_type == 'gt' and mode == 'task_prefix' and prompt_mix in [7, 71, 72, 73, 74, 75]) or (dataset == 'cqa' and model == 't5-v1_1-base' and subsample == 1.0 and label_type == 'gt' and mode == 'standard' and prompt_mix == 0)\")\n",
    "\n",
    "\n",
    "# group over runs and add mean and standard error over top 3 runs\n",
    "filtered_exp_rate = filtered_exp_rate.groupby([\"prompt_mix\"]).apply(\n",
    "    lambda group: group.nlargest(5, \"eval_acc\")).reset_index(drop=True)\n",
    "\n",
    "xr = {0: 0, 7: 100, 71: 66, 72: 33, 74: 50, 73: 15, 75: 85}\n",
    "filtered_exp_rate[\"xr\"] = filtered_exp_rate[\"prompt_mix\"].map(xr)\n",
    "filtered_exp_rate = filtered_exp_rate.sort_values(by=[\"xr\"])\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "positions = sorted(xr.values())\n",
    "colors = [\"orange\", \"yellow\", \"pink\", \"lightblue\", \"grey\", \"purple\", \"red\"]\n",
    "#colors = [\"orange\", \"red\", \"red\", \"red\", \"red\", \"red\", \"red\"]\n",
    "bplot = filtered_exp_rate.boxplot(column=\"eval_acc\", by=\"xr\", ax=ax, positions=positions, grid=True, widths=3.0, patch_artist=True, \n",
    "                                    boxprops=dict(edgecolor=\"black\"),\n",
    "                                    medianprops=dict(color=\"black\", linewidth=1),\n",
    "                                    meanprops=dict(color=\"black\", linewidth=1),\n",
    "                                    whiskerprops=dict(color=\"black\"),\n",
    "                                    showfliers=False,\n",
    "                                    showmeans=True, meanline=True)\n",
    "boxes = [child for child in bplot.get_children() if isinstance(child, matplotlib.patches.PathPatch)]\n",
    "for box, color in zip(boxes, colors):\n",
    "    box.set_facecolor(color)\n",
    "\n",
    "ax.plot(positions, filtered_exp_rate.groupby([\"xr\"]).agg({\"eval_acc\": \"mean\"}), color=\"black\", marker=\"\")\n",
    "ax.set_title(\"Eval Accuracy vs. Explanation Rate\")\n",
    "ax.set_xlabel(\"Explanation Rate (%)\")\n",
    "ax.set_ylabel(\"Accuracy\")\n",
    "fig.suptitle(\"\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}