fvqa_feature_generations.ipynb

{
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  {
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   "execution_count": 121,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import os\n",
    "import json\n",
    "import cv2 as cv\n",
    "import numpy as np\n",
    "from string import punctuation\n",
    "from collections import Counter\n",
    "import matplotlib.pyplot as plt\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "fvqa_images_path = \"F:\\\\NUST\\\\thesis_local\\\\Practice\\\\FVQA\\\\images\"\n",
    "def show_fvqa_image(image_name):\n",
    "    print(image_name)\n",
    "    plt.imshow(plt.imread(os.path.join(fvqa_images_path, image_name)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
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   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>KB</th>\n",
       "      <th>e1_label</th>\n",
       "      <th>e2_label</th>\n",
       "      <th>uri</th>\n",
       "      <th>surface</th>\n",
       "      <th>dataset</th>\n",
       "      <th>sources</th>\n",
       "      <th>r</th>\n",
       "      <th>context</th>\n",
       "      <th>score</th>\n",
       "      <th>e1</th>\n",
       "      <th>e2</th>\n",
       "      <th>isnegated</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/a9c086711e083ba3503a06846848e30999b4d3f7</th>\n",
       "      <td>conceptnet</td>\n",
       "      <td>monkey meat</td>\n",
       "      <td>meat</td>\n",
       "      <td>/a/[/r/RelatedTo/,/c/en/monkey_meat/n/,/c/en/m...</td>\n",
       "      <td>[[monkey meat]] is related to [[meat]]</td>\n",
       "      <td>/d/wiktionary/en/en</td>\n",
       "      <td>/and/[/s/rule/definition_section/,/s/web/en.wi...</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>/c/en/monkey_meat/n</td>\n",
       "      <td>/c/en/meat</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37f1bcb9</th>\n",
       "      <td>conceptnet</td>\n",
       "      <td>neuroimaging</td>\n",
       "      <td>image</td>\n",
       "      <td>/a/[/r/EtymologicallyDerivedFrom/,/c/en/neuroi...</td>\n",
       "      <td>The word \"[[neuroimaging]]\" etymologically com...</td>\n",
       "      <td>/d/wiktionary/en/en</td>\n",
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       "      <td>/r/EtymologicallyDerivedFrom</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>/c/en/neuroimaging</td>\n",
       "      <td>/c/en/image</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/f00e325c34450297a00026be9a99b63e339e5539</th>\n",
       "      <td>conceptnet</td>\n",
       "      <td>jamaica</td>\n",
       "      <td>island</td>\n",
       "      <td>/a/[/r/RelatedTo/,/c/en/jamaica/n/,/c/en/island/]</td>\n",
       "      <td>[[Jamaica]] is related to [[island]]</td>\n",
       "      <td>/d/wiktionary/en/en</td>\n",
       "      <td>/and/[/s/rule/definition_section/,/s/web/en.wi...</td>\n",
       "      <td>/r/RelatedTo</td>\n",
       "      <td>/ctx/all</td>\n",
       "      <td>1.0</td>\n",
       "      <td>/c/en/jamaica/n</td>\n",
       "      <td>/c/en/island</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7cf09407</th>\n",
       "      <td>conceptnet</td>\n",
       "      <td>train</td>\n",
       "      <td>arrive at station</td>\n",
       "      <td>/a/[/r/CapableOf/,/c/en/train/,/c/en/arrive_at...</td>\n",
       "      <td>[[a train]] can [[arrive at a station]]</td>\n",
       "      <td>/d/conceptnet/4/en</td>\n",
       "      <td>/and/[/s/activity/omcs/omcs1_possibly_free_tex...</td>\n",
       "      <td>/r/CapableOf</td>\n",
       "      <td>/ctx/all</td>\n",
       "      <td>1.0</td>\n",
       "      <td>/c/en/train</td>\n",
       "      <td>/c/en/arrive_at_station</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a93c1ab</th>\n",
       "      <td>conceptnet</td>\n",
       "      <td>aletschhorn</td>\n",
       "      <td>mountain</td>\n",
       "      <td>/a/[/r/RelatedTo/,/c/en/aletschhorn/n/,/c/en/m...</td>\n",
       "      <td>[[Aletschhorn]] is related to [[mountain]]</td>\n",
       "      <td>/d/wiktionary/en/en</td>\n",
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       "      <td>/c/en/aletschhorn/n</td>\n",
       "      <td>/c/en/mountain</td>\n",
       "      <td>NaN</td>\n",
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      "text/plain": [
       "                                                            KB      e1_label  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  conceptnet   monkey meat   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  conceptnet  neuroimaging   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...  conceptnet       jamaica   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  conceptnet         train   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  conceptnet   aletschhorn   \n",
       "\n",
       "                                                             e2_label  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...               meat   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...              image   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...             island   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  arrive at station   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...           mountain   \n",
       "\n",
       "                                                                                                  uri  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  /a/[/r/RelatedTo/,/c/en/monkey_meat/n/,/c/en/m...   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  /a/[/r/EtymologicallyDerivedFrom/,/c/en/neuroi...   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...  /a/[/r/RelatedTo/,/c/en/jamaica/n/,/c/en/island/]   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  /a/[/r/CapableOf/,/c/en/train/,/c/en/arrive_at...   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  /a/[/r/RelatedTo/,/c/en/aletschhorn/n/,/c/en/m...   \n",
       "\n",
       "                                                                                              surface  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...             [[monkey meat]] is related to [[meat]]   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  The word \"[[neuroimaging]]\" etymologically com...   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...               [[Jamaica]] is related to [[island]]   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...            [[a train]] can [[arrive at a station]]   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...         [[Aletschhorn]] is related to [[mountain]]   \n",
       "\n",
       "                                                                dataset  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  /d/wiktionary/en/en   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  /d/wiktionary/en/en   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...  /d/wiktionary/en/en   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...   /d/conceptnet/4/en   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  /d/wiktionary/en/en   \n",
       "\n",
       "                                                                                              sources  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  /and/[/s/rule/definition_section/,/s/web/en.wi...   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  /and/[/s/rule/etymology_section/,/s/web/en.wik...   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...  /and/[/s/rule/definition_section/,/s/web/en.wi...   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  /and/[/s/activity/omcs/omcs1_possibly_free_tex...   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  /and/[/s/rule/definition_section/,/s/web/en.wi...   \n",
       "\n",
       "                                                                               r  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...                  /r/RelatedTo   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  /r/EtymologicallyDerivedFrom   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...                  /r/RelatedTo   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...                  /r/CapableOf   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...                  /r/RelatedTo   \n",
       "\n",
       "                                                     context  score  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  /ctx/all    1.0   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  /ctx/all    1.0   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...  /ctx/all    1.0   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  /ctx/all    1.0   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  /ctx/all    1.0   \n",
       "\n",
       "                                                                     e1  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  /c/en/monkey_meat/n   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...   /c/en/neuroimaging   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...      /c/en/jamaica/n   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...          /c/en/train   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  /c/en/aletschhorn/n   \n",
       "\n",
       "                                                                         e2  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...               /c/en/meat   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...              /c/en/image   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...             /c/en/island   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  /c/en/arrive_at_station   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...           /c/en/mountain   \n",
       "\n",
       "                                                   isnegated  \n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...       NaN  \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...       NaN  \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...       NaN  \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...       NaN  \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...       NaN  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_facts_file_path = 'fvqa_data//all_fact_triples_release.json'\n",
    "all_facts_data_df = pd.read_json(all_facts_file_path, orient ='index')\n",
    "all_facts_data_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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       "      <th></th>\n",
       "      <th>fact_surface</th>\n",
       "      <th>ans_source</th>\n",
       "      <th>answer</th>\n",
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       "      <th>270</th>\n",
       "      <td>You are likely to find [[a trumpet]] in [[a ja...</td>\n",
       "      <td>image</td>\n",
       "      <td>trumpet</td>\n",
       "      <td>Which object can be found in a jazz club</td>\n",
       "      <td>ILSVRC2012_test_00050748.JPEG</td>\n",
       "      <td>obj</td>\n",
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       "      <td>270</td>\n",
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       "      <th>271</th>\n",
       "      <td>[[lipstick]] belongs to the category of [[Cosm...</td>\n",
       "      <td>image</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>Tell me the name of the cosmetics shown in thi...</td>\n",
       "      <td>ILSVRC2012_test_00000444.JPEG</td>\n",
       "      <td>obj</td>\n",
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       "      <td>271</td>\n",
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       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>[[Lipstick]] is for [[coloring the lips]]</td>\n",
       "      <td>kb</td>\n",
       "      <td>coloring the lips</td>\n",
       "      <td>What is the object shown in this image used for</td>\n",
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       "      <td>obj</td>\n",
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       "      <td>272</td>\n",
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       "      <th>273</th>\n",
       "      <td>You are likely to find [[lipstick]] in [[a mak...</td>\n",
       "      <td>kb</td>\n",
       "      <td>a makeup cabinet</td>\n",
       "      <td>Where can you find the object in this image</td>\n",
       "      <td>ILSVRC2012_test_00000444.JPEG</td>\n",
       "      <td>obj</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>conceptnet/e/c8399f11b843cb0fa84dbfe8659542126...</td>\n",
       "      <td>273</td>\n",
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       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>[[A kite]] has [[a tail]]</td>\n",
       "      <td>image</td>\n",
       "      <td>kite</td>\n",
       "      <td>Which object in this image has a tail</td>\n",
       "      <td>COCO_val2014_000000005599.jpg</td>\n",
       "      <td>obj</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>conceptnet/e/1e9f66df12d446019dc02db7fe054b87c...</td>\n",
       "      <td>274</td>\n",
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      "text/plain": [
       "                                          fact_surface ans_source  \\\n",
       "270  You are likely to find [[a trumpet]] in [[a ja...      image   \n",
       "271  [[lipstick]] belongs to the category of [[Cosm...      image   \n",
       "272          [[Lipstick]] is for [[coloring the lips]]         kb   \n",
       "273  You are likely to find [[lipstick]] in [[a mak...         kb   \n",
       "274                          [[A kite]] has [[a tail]]      image   \n",
       "\n",
       "                answer                                           question  \\\n",
       "270            trumpet           Which object can be found in a jazz club   \n",
       "271           lipstick  Tell me the name of the cosmetics shown in thi...   \n",
       "272  coloring the lips    What is the object shown in this image used for   \n",
       "273   a makeup cabinet        Where can you find the object in this image   \n",
       "274               kite              Which object in this image has a tail   \n",
       "\n",
       "                          img_file visual_concept   kb_source  \\\n",
       "270  ILSVRC2012_test_00050748.JPEG            obj  conceptnet   \n",
       "271  ILSVRC2012_test_00000444.JPEG            obj     dbpedia   \n",
       "272  ILSVRC2012_test_00000444.JPEG            obj  conceptnet   \n",
       "273  ILSVRC2012_test_00000444.JPEG            obj  conceptnet   \n",
       "274  COCO_val2014_000000005599.jpg            obj  conceptnet   \n",
       "\n",
       "                                                  fact  question_id  \n",
       "270  conceptnet/e/f768f157e4446dd594536f8ef02681515...          270  \n",
       "271                                       dbpedia/8657          271  \n",
       "272  conceptnet/e/18b413dee0ebe3cadef337f364baa6164...          272  \n",
       "273  conceptnet/e/c8399f11b843cb0fa84dbfe8659542126...          273  \n",
       "274  conceptnet/e/1e9f66df12d446019dc02db7fe054b87c...          274  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "question_file_path = 'fvqa_data//all_qs_dict_release.json'\n",
    "questions_data_df = pd.read_json(question_file_path, orient ='index')\n",
    "questions_data_df['fact'] = questions_data_df['fact'].apply(lambda x: str(x[0]))\n",
    "questions_data_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# join question with fact dataframe to create join question with facts dataframe\n",
    "merged_ques_facts_df = pd.merge(questions_data_df, all_facts_data_df , right_index=True, left_on='fact')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
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     "name": "#%%\n"
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       "    .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>fact_surface</th>\n",
       "      <th>ans_source</th>\n",
       "      <th>answer</th>\n",
       "      <th>question</th>\n",
       "      <th>img_file</th>\n",
       "      <th>visual_concept</th>\n",
       "      <th>kb_source</th>\n",
       "      <th>fact</th>\n",
       "      <th>question_id</th>\n",
       "      <th>KB</th>\n",
       "      <th>e1_label</th>\n",
       "      <th>e2_label</th>\n",
       "      <th>uri</th>\n",
       "      <th>surface</th>\n",
       "      <th>dataset</th>\n",
       "      <th>sources</th>\n",
       "      <th>r</th>\n",
       "      <th>context</th>\n",
       "      <th>score</th>\n",
       "      <th>e1</th>\n",
       "      <th>e2</th>\n",
       "      <th>isnegated</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>You are likely to find [[a trumpet]] in [[a ja...</td>\n",
       "      <td>image</td>\n",
       "      <td>trumpet</td>\n",
       "      <td>Which object can be found in a jazz club</td>\n",
       "      <td>ILSVRC2012_test_00050748.JPEG</td>\n",
       "      <td>obj</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>conceptnet/e/f768f157e4446dd594536f8ef02681515...</td>\n",
       "      <td>270</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>trumpet</td>\n",
       "      <td>jazz club</td>\n",
       "      <td>/a/[/r/AtLocation/,/c/en/trumpet/,/c/en/jazz_c...</td>\n",
       "      <td>You are likely to find [[a trumpet]] in [[a ja...</td>\n",
       "      <td>/d/conceptnet/4/en</td>\n",
       "      <td>/and/[/s/activity/omcs/globalmind/,/s/contribu...</td>\n",
       "      <td>/r/AtLocation</td>\n",
       "      <td>/ctx/all</td>\n",
       "      <td>1.0</td>\n",
       "      <td>/c/en/trumpet</td>\n",
       "      <td>/c/en/jazz_club</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>[[lipstick]] belongs to the category of [[Cosm...</td>\n",
       "      <td>image</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>Tell me the name of the cosmetics shown in thi...</td>\n",
       "      <td>ILSVRC2012_test_00000444.JPEG</td>\n",
       "      <td>obj</td>\n",
       "      <td>dbpedia</td>\n",
       "      <td>dbpedia/8657</td>\n",
       "      <td>271</td>\n",
       "      <td>dbpedia</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>Cosmetics</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[[lipstick]] belongs to the category of [[Cosm...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>http://dbpedia.org/resource/Lipstick</td>\n",
       "      <td>http://dbpedia.org/resource/Cosmetics</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>[[lipstick]] belongs to the category of [[Cosm...</td>\n",
       "      <td>image</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>what object in this image is a cosmetic placed...</td>\n",
       "      <td>ILSVRC2012_test_00045533.JPEG</td>\n",
       "      <td>obj</td>\n",
       "      <td>dbpedia</td>\n",
       "      <td>dbpedia/8657</td>\n",
       "      <td>569</td>\n",
       "      <td>dbpedia</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>Cosmetics</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[[lipstick]] belongs to the category of [[Cosm...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>http://dbpedia.org/resource/Lipstick</td>\n",
       "      <td>http://dbpedia.org/resource/Cosmetics</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>[[Lipstick]] is for [[coloring the lips]]</td>\n",
       "      <td>kb</td>\n",
       "      <td>coloring the lips</td>\n",
       "      <td>What is the object shown in this image used for</td>\n",
       "      <td>ILSVRC2012_test_00000444.JPEG</td>\n",
       "      <td>obj</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>conceptnet/e/18b413dee0ebe3cadef337f364baa6164...</td>\n",
       "      <td>272</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>color lip</td>\n",
       "      <td>/a/[/r/UsedFor/,/c/en/lipstick/,/c/en/color_lip/]</td>\n",
       "      <td>[[Lipstick]] is for [[coloring the lips]]</td>\n",
       "      <td>/d/conceptnet/4/en</td>\n",
       "      <td>/and/[/s/activity/omcs/omcs1_possibly_free_tex...</td>\n",
       "      <td>/r/UsedFor</td>\n",
       "      <td>/ctx/all</td>\n",
       "      <td>1.0</td>\n",
       "      <td>/c/en/lipstick</td>\n",
       "      <td>/c/en/color_lip</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>[[Lipstick]] is for [[coloring the lips]]</td>\n",
       "      <td>image</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>Which item in this image is used for colouring...</td>\n",
       "      <td>ILSVRC2012_test_00002289.JPEG</td>\n",
       "      <td>obj</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>conceptnet/e/18b413dee0ebe3cadef337f364baa6164...</td>\n",
       "      <td>383</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>color lip</td>\n",
       "      <td>/a/[/r/UsedFor/,/c/en/lipstick/,/c/en/color_lip/]</td>\n",
       "      <td>[[Lipstick]] is for [[coloring the lips]]</td>\n",
       "      <td>/d/conceptnet/4/en</td>\n",
       "      <td>/and/[/s/activity/omcs/omcs1_possibly_free_tex...</td>\n",
       "      <td>/r/UsedFor</td>\n",
       "      <td>/ctx/all</td>\n",
       "      <td>1.0</td>\n",
       "      <td>/c/en/lipstick</td>\n",
       "      <td>/c/en/color_lip</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          fact_surface ans_source  \\\n",
       "270  You are likely to find [[a trumpet]] in [[a ja...      image   \n",
       "271  [[lipstick]] belongs to the category of [[Cosm...      image   \n",
       "569  [[lipstick]] belongs to the category of [[Cosm...      image   \n",
       "272          [[Lipstick]] is for [[coloring the lips]]         kb   \n",
       "383          [[Lipstick]] is for [[coloring the lips]]      image   \n",
       "\n",
       "                answer                                           question  \\\n",
       "270            trumpet           Which object can be found in a jazz club   \n",
       "271           lipstick  Tell me the name of the cosmetics shown in thi...   \n",
       "569           lipstick  what object in this image is a cosmetic placed...   \n",
       "272  coloring the lips    What is the object shown in this image used for   \n",
       "383           lipstick  Which item in this image is used for colouring...   \n",
       "\n",
       "                          img_file visual_concept   kb_source  \\\n",
       "270  ILSVRC2012_test_00050748.JPEG            obj  conceptnet   \n",
       "271  ILSVRC2012_test_00000444.JPEG            obj     dbpedia   \n",
       "569  ILSVRC2012_test_00045533.JPEG            obj     dbpedia   \n",
       "272  ILSVRC2012_test_00000444.JPEG            obj  conceptnet   \n",
       "383  ILSVRC2012_test_00002289.JPEG            obj  conceptnet   \n",
       "\n",
       "                                                  fact  question_id  \\\n",
       "270  conceptnet/e/f768f157e4446dd594536f8ef02681515...          270   \n",
       "271                                       dbpedia/8657          271   \n",
       "569                                       dbpedia/8657          569   \n",
       "272  conceptnet/e/18b413dee0ebe3cadef337f364baa6164...          272   \n",
       "383  conceptnet/e/18b413dee0ebe3cadef337f364baa6164...          383   \n",
       "\n",
       "             KB  e1_label   e2_label  \\\n",
       "270  conceptnet   trumpet  jazz club   \n",
       "271     dbpedia  lipstick  Cosmetics   \n",
       "569     dbpedia  lipstick  Cosmetics   \n",
       "272  conceptnet  lipstick  color lip   \n",
       "383  conceptnet  lipstick  color lip   \n",
       "\n",
       "                                                   uri  \\\n",
       "270  /a/[/r/AtLocation/,/c/en/trumpet/,/c/en/jazz_c...   \n",
       "271                                                NaN   \n",
       "569                                                NaN   \n",
       "272  /a/[/r/UsedFor/,/c/en/lipstick/,/c/en/color_lip/]   \n",
       "383  /a/[/r/UsedFor/,/c/en/lipstick/,/c/en/color_lip/]   \n",
       "\n",
       "                                               surface             dataset  \\\n",
       "270  You are likely to find [[a trumpet]] in [[a ja...  /d/conceptnet/4/en   \n",
       "271  [[lipstick]] belongs to the category of [[Cosm...                 NaN   \n",
       "569  [[lipstick]] belongs to the category of [[Cosm...                 NaN   \n",
       "272          [[Lipstick]] is for [[coloring the lips]]  /d/conceptnet/4/en   \n",
       "383          [[Lipstick]] is for [[coloring the lips]]  /d/conceptnet/4/en   \n",
       "\n",
       "                                               sources                  r  \\\n",
       "270  /and/[/s/activity/omcs/globalmind/,/s/contribu...      /r/AtLocation   \n",
       "271                                                NaN  dbpedia/transnbhd   \n",
       "569                                                NaN  dbpedia/transnbhd   \n",
       "272  /and/[/s/activity/omcs/omcs1_possibly_free_tex...         /r/UsedFor   \n",
       "383  /and/[/s/activity/omcs/omcs1_possibly_free_tex...         /r/UsedFor   \n",
       "\n",
       "      context  score                                    e1  \\\n",
       "270  /ctx/all    1.0                         /c/en/trumpet   \n",
       "271       NaN    1.0  http://dbpedia.org/resource/Lipstick   \n",
       "569       NaN    1.0  http://dbpedia.org/resource/Lipstick   \n",
       "272  /ctx/all    1.0                        /c/en/lipstick   \n",
       "383  /ctx/all    1.0                        /c/en/lipstick   \n",
       "\n",
       "                                        e2 isnegated  \n",
       "270                        /c/en/jazz_club       NaN  \n",
       "271  http://dbpedia.org/resource/Cosmetics       NaN  \n",
       "569  http://dbpedia.org/resource/Cosmetics       NaN  \n",
       "272                        /c/en/color_lip       NaN  \n",
       "383                        /c/en/color_lip       NaN  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_ques_facts_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### FVQA Dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "pycharm": {
     "is_executing": true,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import re\n",
    "from string import punctuation\n",
    "\n",
    "import collections\n",
    "import re\n",
    "col_filter = ['answer', 'question']\n",
    "filtered_df = merged_ques_facts_df.loc[:,col_filter]\n",
    "list_of_words = [re.sub('[^a-zA-Z]+', '', y) for x in filtered_df.values.flatten() for y in str(x).lower().split() if y not in punctuation]\n",
    "\n",
    "\n",
    "e1_labels = [y.lower() for y in all_facts_data_df['e1_label'].values]\n",
    "e1_label_words = [y for x in e1_labels for y in str(x).lower().split() if y not in punctuation]\n",
    "\n",
    "e2_labels = [y.lower() for y in all_facts_data_df['e2_label'].values]\n",
    "e2_label_words = [y for x in e2_labels for y in str(x).lower().split() if y not in punctuation]\n",
    "\n",
    "list_of_words.extend(e1_label_words)\n",
    "list_of_words.extend(e2_label_words)\n",
    "\n",
    "fvqa_count_words = collections.Counter(list_of_words)\n",
    "fvqa_total_words = len(list_of_words)\n",
    "fvqa_sorted_words = fvqa_count_words.most_common(fvqa_total_words)\n",
    "fvqa_vocab_to_int = {w:i+1 for i, (w,c) in enumerate(fvqa_sorted_words)}\n",
    "fvqa_int_to_vocab = {i+1:w for i, (w,c) in enumerate(fvqa_sorted_words)}\n",
    "\n",
    "file = open(\"generated_fvqa_data//fvqa_int_to_vocab.json\", \"w\")\n",
    "json.dump(fvqa_int_to_vocab, file)\n",
    "file.close()\n",
    "\n",
    "file = open(\"generated_fvqa_data//fvqa_vocab_to_int.json\", \"w\")\n",
    "json.dump(fvqa_vocab_to_int, file)\n",
    "file.close()\n",
    "\n",
    "file = open(\"fvqa_data//our_features//word_count.json\", \"w\")\n",
    "json.dump(fvqa_count_words, file)\n",
    "file.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### FVQA Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total images having multiple questions =  1362\n",
      "total images having single question =  828\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "COCO_val2014_000000011567.jpg    45\n",
       "ILSVRC2012_test_00002135.JPEG    34\n",
       "ILSVRC2012_test_00034356.JPEG    27\n",
       "ILSVRC2012_test_00040381.JPEG    25\n",
       "COCO_val2014_000000009707.jpg    23\n",
       "                                 ..\n",
       "COCO_val2014_000000131557.jpg     1\n",
       "COCO_val2014_000000102466.jpg     1\n",
       "ILSVRC2012_test_00001757.JPEG     1\n",
       "ILSVRC2012_test_00043594.JPEG     1\n",
       "ILSVRC2012_test_00003426.JPEG     1\n",
       "Name: Images with question counts, Length: 2190, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img_question_counts = merged_ques_facts_df['img_file'].value_counts()\n",
    "print('total images having multiple questions = ', len(img_question_counts[img_question_counts > 1]))\n",
    "print('total images having single question = ', len(img_question_counts[img_question_counts == 1]))\n",
    "img_question_counts.name=\"Images with question counts\"\n",
    "img_question_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000011567.jpg\n"
     ]
    },
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>question</th>\n",
       "      <th>fact</th>\n",
       "      <th>question_id</th>\n",
       "      <th>answer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2688</th>\n",
       "      <td>what object in this image can be male or female?</td>\n",
       "      <td>conceptnet/e/18d46d251d098a08bce0a8ba75a3aace3...</td>\n",
       "      <td>2688</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2689</th>\n",
       "      <td>what object in this image can smell things?</td>\n",
       "      <td>conceptnet/e/80ec77fe0bd79b1a23a9dc19f122ae858...</td>\n",
       "      <td>2689</td>\n",
       "      <td>person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2684</th>\n",
       "      <td>which object in this image is capable of doing...</td>\n",
       "      <td>conceptnet/e/f48f282f7d85e6f55c3391f15e03e8986...</td>\n",
       "      <td>2684</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2685</th>\n",
       "      <td>what object in this image can dance to music?</td>\n",
       "      <td>conceptnet/e/f8dc32f1e2badb1e65f93097b4609fde5...</td>\n",
       "      <td>2685</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2686</th>\n",
       "      <td>what object in this image can post a letter?</td>\n",
       "      <td>conceptnet/e/5f57a6c051703032a75d6cd1fb80d2e65...</td>\n",
       "      <td>2686</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2687</th>\n",
       "      <td>what object in this image can walk?</td>\n",
       "      <td>conceptnet/e/95cfb48444cbde268e1a03eec57d6b140...</td>\n",
       "      <td>2687</td>\n",
       "      <td>person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2680</th>\n",
       "      <td>which object in this image is capable of paint...</td>\n",
       "      <td>conceptnet/e/1be855f14cbaa60f529d30137a7675224...</td>\n",
       "      <td>2680</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2681</th>\n",
       "      <td>which object in this image is capable of smell...</td>\n",
       "      <td>conceptnet/e/85b5556053e14e40ff3009e747672bd89...</td>\n",
       "      <td>2681</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2682</th>\n",
       "      <td>which object in this image is capable of ownin...</td>\n",
       "      <td>conceptnet/e/2d4202908ae9bdc6d8229ebcab98e338d...</td>\n",
       "      <td>2682</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2683</th>\n",
       "      <td>what object in this image can loose weight?</td>\n",
       "      <td>conceptnet/e/a2171a2be5f200c06ea0adb098aa07a04...</td>\n",
       "      <td>2683</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2700</th>\n",
       "      <td>which object in this image is capable of purch...</td>\n",
       "      <td>conceptnet/e/c55fbc9488c84bd21bd5ddd0524e6ca88...</td>\n",
       "      <td>2700</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2659</th>\n",
       "      <td>what objects in this image are a spherical shape?</td>\n",
       "      <td>conceptnet/e/ff6104181be4ee89b9efe49a55f1b4142...</td>\n",
       "      <td>2659</td>\n",
       "      <td>tennis balls</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2658</th>\n",
       "      <td>what small round object in this image is used ...</td>\n",
       "      <td>conceptnet/e/81f61a785833943864e364ea5b0661774...</td>\n",
       "      <td>2658</td>\n",
       "      <td>a tennis ball</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2671</th>\n",
       "      <td>which object in this image can give money to c...</td>\n",
       "      <td>conceptnet/e/c983b695bfa45d691e4b4b2d0533bd46d...</td>\n",
       "      <td>2671</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2670</th>\n",
       "      <td>which object in this image can wash their hair?</td>\n",
       "      <td>conceptnet/e/dde5eb99b34a6638e72463bf3ab93e869...</td>\n",
       "      <td>2670</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2673</th>\n",
       "      <td>which object in this image is capable of eatin...</td>\n",
       "      <td>conceptnet/e/f015a3fcad8a7fdeab3107ccc73430def...</td>\n",
       "      <td>2673</td>\n",
       "      <td>person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2672</th>\n",
       "      <td>which object in this image has a sense of smell?</td>\n",
       "      <td>conceptnet/e/80ec77fe0bd79b1a23a9dc19f122ae858...</td>\n",
       "      <td>2672</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2675</th>\n",
       "      <td>what object in this image is capable of dinein...</td>\n",
       "      <td>conceptnet/e/e94a9f2eac66409b4a6c086b74a1c6caf...</td>\n",
       "      <td>2675</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2674</th>\n",
       "      <td>which object in this image is capable of putti...</td>\n",
       "      <td>conceptnet/e/1a11587aeadaab9f7f82ccb62fee07d73...</td>\n",
       "      <td>2674</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2677</th>\n",
       "      <td>which object in this image is capable of stepp...</td>\n",
       "      <td>conceptnet/e/d4cfa3f1d3be9f004f79541e7fed68fd0...</td>\n",
       "      <td>2677</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2676</th>\n",
       "      <td>what object in this image is capable of making...</td>\n",
       "      <td>conceptnet/e/d8ad941a5165fee98a9373fd2a87d7c90...</td>\n",
       "      <td>2676</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2679</th>\n",
       "      <td>which object in this image can dance by themse...</td>\n",
       "      <td>conceptnet/e/e69a634812a45416b073f8625e106a51e...</td>\n",
       "      <td>2679</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2678</th>\n",
       "      <td>what object in this image can throw a party?</td>\n",
       "      <td>conceptnet/e/6de08bef33514d727d56ff5a5809411ce...</td>\n",
       "      <td>2678</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2699</th>\n",
       "      <td>which object in this image is capable of compl...</td>\n",
       "      <td>conceptnet/e/2b41b9ac1c3f4844eb31598b3d07c361a...</td>\n",
       "      <td>2699</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2698</th>\n",
       "      <td>which object in this image can taste salt?</td>\n",
       "      <td>conceptnet/e/61dbd9c33f581ad2bdbe2e9d49cf6fac6...</td>\n",
       "      <td>2698</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2697</th>\n",
       "      <td>which object in this image must eat to survive?</td>\n",
       "      <td>conceptnet/e/f5d24f77f5c1d6fa877481402284866bd...</td>\n",
       "      <td>2697</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2696</th>\n",
       "      <td>which object in this image has two ears?</td>\n",
       "      <td>conceptnet/e/f66726654a2b3ee4ed1f85dcd7d422f2e...</td>\n",
       "      <td>2696</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2695</th>\n",
       "      <td>which object in this image is can decide on a ...</td>\n",
       "      <td>conceptnet/e/ff51ee1fbeea5aaa7852908c5ae5264f6...</td>\n",
       "      <td>2695</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2694</th>\n",
       "      <td>which object in this image can clean a messy r...</td>\n",
       "      <td>conceptnet/e/efbb6ae1a8f7679af9f69076c40b24c43...</td>\n",
       "      <td>2694</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2693</th>\n",
       "      <td>which object in this image can eat shrimp for ...</td>\n",
       "      <td>conceptnet/e/5bb3acd409621ad5c3f5e538f6dd518ef...</td>\n",
       "      <td>2693</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2692</th>\n",
       "      <td>which object in this image is capable of havin...</td>\n",
       "      <td>conceptnet/e/68a5cf83aa30b037c970d13d240133c80...</td>\n",
       "      <td>2692</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2691</th>\n",
       "      <td>which object in this image can read books for ...</td>\n",
       "      <td>conceptnet/e/c33dfdb9ab5491d363fcfdef4aea4c0d9...</td>\n",
       "      <td>2691</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2690</th>\n",
       "      <td>what object in this image is capable of drinki...</td>\n",
       "      <td>conceptnet/e/860456ca67e26e8f3ea70dd6be3a19062...</td>\n",
       "      <td>2690</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2701</th>\n",
       "      <td>which object in this image is capable of viewi...</td>\n",
       "      <td>conceptnet/e/5d0b6fba16ab793623f7166e370bb020c...</td>\n",
       "      <td>2701</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2702</th>\n",
       "      <td>which object in this image is capable of growi...</td>\n",
       "      <td>conceptnet/e/bbfc83cd9727d8e6344f15308ae50e1a9...</td>\n",
       "      <td>2702</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2668</th>\n",
       "      <td>which object in this image is alive?</td>\n",
       "      <td>conceptnet/e/68deacafe10698d720fdb9675a17df8b1...</td>\n",
       "      <td>2668</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2669</th>\n",
       "      <td>which object in this image can run a shop?</td>\n",
       "      <td>conceptnet/e/8178071edf6e30e45398899c450884559...</td>\n",
       "      <td>2669</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2666</th>\n",
       "      <td>which object in this image can dance for enjoy...</td>\n",
       "      <td>conceptnet/e/89001d8c3856dcbd4476e103cd8c274fd...</td>\n",
       "      <td>2666</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2667</th>\n",
       "      <td>which object in this image can forget things?</td>\n",
       "      <td>conceptnet/e/cc62ad88f167316fba3ab002be9074033...</td>\n",
       "      <td>2667</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2664</th>\n",
       "      <td>what object in this image eats food off a plate?</td>\n",
       "      <td>conceptnet/e/51450449fe13ad00575cea760b67212fb...</td>\n",
       "      <td>2664</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2665</th>\n",
       "      <td>which object in this image can blow out candles?</td>\n",
       "      <td>conceptnet/e/2338d8329efa29dea31fb9f9b5b165392...</td>\n",
       "      <td>2665</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2662</th>\n",
       "      <td>what object in this image can pout?</td>\n",
       "      <td>conceptnet/e/0c9efbc5fca7d7b5e8644c5fa58d23e29...</td>\n",
       "      <td>2662</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2663</th>\n",
       "      <td>what object in this image can govern other peo...</td>\n",
       "      <td>conceptnet/e/ad5b22b10e7257b24c48de7fe5e2ac774...</td>\n",
       "      <td>2663</td>\n",
       "      <td>people</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2660</th>\n",
       "      <td>which yellow object in this image can be found...</td>\n",
       "      <td>conceptnet/e/7bfd4bb48a5170ac62c3b520e430ef036...</td>\n",
       "      <td>2660</td>\n",
       "      <td>a tennis ball</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2661</th>\n",
       "      <td>what object in this image can stand on one leg?</td>\n",
       "      <td>conceptnet/e/c22d5cfe2b9e6b52b0c9cc8da6b48c66f...</td>\n",
       "      <td>2661</td>\n",
       "      <td>a person</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               question  \\\n",
       "2688   what object in this image can be male or female?   \n",
       "2689        what object in this image can smell things?   \n",
       "2684  which object in this image is capable of doing...   \n",
       "2685      what object in this image can dance to music?   \n",
       "2686       what object in this image can post a letter?   \n",
       "2687                what object in this image can walk?   \n",
       "2680  which object in this image is capable of paint...   \n",
       "2681  which object in this image is capable of smell...   \n",
       "2682  which object in this image is capable of ownin...   \n",
       "2683        what object in this image can loose weight?   \n",
       "2700  which object in this image is capable of purch...   \n",
       "2659  what objects in this image are a spherical shape?   \n",
       "2658  what small round object in this image is used ...   \n",
       "2671  which object in this image can give money to c...   \n",
       "2670    which object in this image can wash their hair?   \n",
       "2673  which object in this image is capable of eatin...   \n",
       "2672   which object in this image has a sense of smell?   \n",
       "2675  what object in this image is capable of dinein...   \n",
       "2674  which object in this image is capable of putti...   \n",
       "2677  which object in this image is capable of stepp...   \n",
       "2676  what object in this image is capable of making...   \n",
       "2679  which object in this image can dance by themse...   \n",
       "2678       what object in this image can throw a party?   \n",
       "2699  which object in this image is capable of compl...   \n",
       "2698         which object in this image can taste salt?   \n",
       "2697    which object in this image must eat to survive?   \n",
       "2696           which object in this image has two ears?   \n",
       "2695  which object in this image is can decide on a ...   \n",
       "2694  which object in this image can clean a messy r...   \n",
       "2693  which object in this image can eat shrimp for ...   \n",
       "2692  which object in this image is capable of havin...   \n",
       "2691  which object in this image can read books for ...   \n",
       "2690  what object in this image is capable of drinki...   \n",
       "2701  which object in this image is capable of viewi...   \n",
       "2702  which object in this image is capable of growi...   \n",
       "2668               which object in this image is alive?   \n",
       "2669         which object in this image can run a shop?   \n",
       "2666  which object in this image can dance for enjoy...   \n",
       "2667      which object in this image can forget things?   \n",
       "2664   what object in this image eats food off a plate?   \n",
       "2665   which object in this image can blow out candles?   \n",
       "2662                what object in this image can pout?   \n",
       "2663  what object in this image can govern other peo...   \n",
       "2660  which yellow object in this image can be found...   \n",
       "2661    what object in this image can stand on one leg?   \n",
       "\n",
       "                                                   fact  question_id  \\\n",
       "2688  conceptnet/e/18d46d251d098a08bce0a8ba75a3aace3...         2688   \n",
       "2689  conceptnet/e/80ec77fe0bd79b1a23a9dc19f122ae858...         2689   \n",
       "2684  conceptnet/e/f48f282f7d85e6f55c3391f15e03e8986...         2684   \n",
       "2685  conceptnet/e/f8dc32f1e2badb1e65f93097b4609fde5...         2685   \n",
       "2686  conceptnet/e/5f57a6c051703032a75d6cd1fb80d2e65...         2686   \n",
       "2687  conceptnet/e/95cfb48444cbde268e1a03eec57d6b140...         2687   \n",
       "2680  conceptnet/e/1be855f14cbaa60f529d30137a7675224...         2680   \n",
       "2681  conceptnet/e/85b5556053e14e40ff3009e747672bd89...         2681   \n",
       "2682  conceptnet/e/2d4202908ae9bdc6d8229ebcab98e338d...         2682   \n",
       "2683  conceptnet/e/a2171a2be5f200c06ea0adb098aa07a04...         2683   \n",
       "2700  conceptnet/e/c55fbc9488c84bd21bd5ddd0524e6ca88...         2700   \n",
       "2659  conceptnet/e/ff6104181be4ee89b9efe49a55f1b4142...         2659   \n",
       "2658  conceptnet/e/81f61a785833943864e364ea5b0661774...         2658   \n",
       "2671  conceptnet/e/c983b695bfa45d691e4b4b2d0533bd46d...         2671   \n",
       "2670  conceptnet/e/dde5eb99b34a6638e72463bf3ab93e869...         2670   \n",
       "2673  conceptnet/e/f015a3fcad8a7fdeab3107ccc73430def...         2673   \n",
       "2672  conceptnet/e/80ec77fe0bd79b1a23a9dc19f122ae858...         2672   \n",
       "2675  conceptnet/e/e94a9f2eac66409b4a6c086b74a1c6caf...         2675   \n",
       "2674  conceptnet/e/1a11587aeadaab9f7f82ccb62fee07d73...         2674   \n",
       "2677  conceptnet/e/d4cfa3f1d3be9f004f79541e7fed68fd0...         2677   \n",
       "2676  conceptnet/e/d8ad941a5165fee98a9373fd2a87d7c90...         2676   \n",
       "2679  conceptnet/e/e69a634812a45416b073f8625e106a51e...         2679   \n",
       "2678  conceptnet/e/6de08bef33514d727d56ff5a5809411ce...         2678   \n",
       "2699  conceptnet/e/2b41b9ac1c3f4844eb31598b3d07c361a...         2699   \n",
       "2698  conceptnet/e/61dbd9c33f581ad2bdbe2e9d49cf6fac6...         2698   \n",
       "2697  conceptnet/e/f5d24f77f5c1d6fa877481402284866bd...         2697   \n",
       "2696  conceptnet/e/f66726654a2b3ee4ed1f85dcd7d422f2e...         2696   \n",
       "2695  conceptnet/e/ff51ee1fbeea5aaa7852908c5ae5264f6...         2695   \n",
       "2694  conceptnet/e/efbb6ae1a8f7679af9f69076c40b24c43...         2694   \n",
       "2693  conceptnet/e/5bb3acd409621ad5c3f5e538f6dd518ef...         2693   \n",
       "2692  conceptnet/e/68a5cf83aa30b037c970d13d240133c80...         2692   \n",
       "2691  conceptnet/e/c33dfdb9ab5491d363fcfdef4aea4c0d9...         2691   \n",
       "2690  conceptnet/e/860456ca67e26e8f3ea70dd6be3a19062...         2690   \n",
       "2701  conceptnet/e/5d0b6fba16ab793623f7166e370bb020c...         2701   \n",
       "2702  conceptnet/e/bbfc83cd9727d8e6344f15308ae50e1a9...         2702   \n",
       "2668  conceptnet/e/68deacafe10698d720fdb9675a17df8b1...         2668   \n",
       "2669  conceptnet/e/8178071edf6e30e45398899c450884559...         2669   \n",
       "2666  conceptnet/e/89001d8c3856dcbd4476e103cd8c274fd...         2666   \n",
       "2667  conceptnet/e/cc62ad88f167316fba3ab002be9074033...         2667   \n",
       "2664  conceptnet/e/51450449fe13ad00575cea760b67212fb...         2664   \n",
       "2665  conceptnet/e/2338d8329efa29dea31fb9f9b5b165392...         2665   \n",
       "2662  conceptnet/e/0c9efbc5fca7d7b5e8644c5fa58d23e29...         2662   \n",
       "2663  conceptnet/e/ad5b22b10e7257b24c48de7fe5e2ac774...         2663   \n",
       "2660  conceptnet/e/7bfd4bb48a5170ac62c3b520e430ef036...         2660   \n",
       "2661  conceptnet/e/c22d5cfe2b9e6b52b0c9cc8da6b48c66f...         2661   \n",
       "\n",
       "             answer  \n",
       "2688         people  \n",
       "2689         person  \n",
       "2684         people  \n",
       "2685         people  \n",
       "2686       a person  \n",
       "2687         person  \n",
       "2680         people  \n",
       "2681         people  \n",
       "2682       a person  \n",
       "2683         people  \n",
       "2700       a person  \n",
       "2659   tennis balls  \n",
       "2658  a tennis ball  \n",
       "2671       a person  \n",
       "2670       a person  \n",
       "2673         person  \n",
       "2672       a person  \n",
       "2675         people  \n",
       "2674         people  \n",
       "2677       a person  \n",
       "2676         people  \n",
       "2679         people  \n",
       "2678       a person  \n",
       "2699       a person  \n",
       "2698         people  \n",
       "2697         people  \n",
       "2696       a person  \n",
       "2695       a person  \n",
       "2694       a person  \n",
       "2693       a person  \n",
       "2692         people  \n",
       "2691         people  \n",
       "2690         people  \n",
       "2701       a person  \n",
       "2702       a person  \n",
       "2668         people  \n",
       "2669       a person  \n",
       "2666         people  \n",
       "2667         people  \n",
       "2664         people  \n",
       "2665       a person  \n",
       "2662         people  \n",
       "2663         people  \n",
       "2660  a tennis ball  \n",
       "2661       a person  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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E+N8lSdsk8b3iGWWjYrasTA4Cp5IkeG27L4uWK5lkC0zdeMfEBvvYEmWeBBVDiSIJScoMGB2HAZDNSEqyUFdqjA007lXDmW2NdfuPfX4RBS3NeAT/XNVogqACpKE2HwcRW4DqBtfD/04cqSVDJ0k86dRUBLFkxZ1gREN2lYiWPAOvoox1CwWCJ5SxRKu6sYvIxB0NrrZwW2PGB6eT8GSoI+HYKie37vPRj30fL959md3ZDikLn/zcr/CTP/fjjDeX5DqBCM+itMgJd6q4o7BnjDVid65AIVlkiCk2khu5WsJleiJbIpopHll4Eg+jTYpukAxDdTqvutqnuSLA1TUipmIw1YjnT2rMbW2OWz0SrdXyIRaRuQuQyXHHbKmqO3RbZ2acw+hnRGy8Gn/NtAZUDfUnieRjIICuOS4z/D6/eG7HgUZK0KXMuipdahmKFkVXCkiijJWd3R1qHX3v2HhZst/GyLZ1ZlhvmM1SU0aRskUc6BSx+U7PeUYZC1o6ljcj3V5HkpGils+xpLbNhlH5ib7rqcWihIge2nj6Wi5NnPD25vsdYbgBM7wpUdTQqk1mIolu0QoWzkfiIIxtICi2jV4ggoau7N85BbVhL4wwOKl5WfV7CZ6pok4JTBxUdQomhWEQUC0EKE1i3KVm8Z85yg2EJhiKTIZIAxylNBmRoEHE5Wfqhqlz1Fi0Og3hEUNKLhH0yEQjgeiqGK2WoPXvCilb7yG7RNhqu7Uh5Jb8c2cWhsMxMkppTq5qcnlcjQeyhZ4tvE514snd1pG3uOiIeFJ4l7ivqg25mxpN/TncDG9bZ3s6Q38BOiUT3L+Z2mqKiSx88IMf5ej2Pb7+fR/hI+//CLf2ThhKIVk2lm9+72/iOz70A/zFv/GjPH78WaTa55Q0IsXojJy2qCyH9paPsU1fPEIRtYRP8uhH2lo2q5l91brwr+UncLDSqB9RZruVvZNEGeHqkSlVqgMHcxPSxtjoRlNdWXI1okPXM09aOac+PC/jY2p8ukUE4vszqIYAxohSq7ZIQiRRagXxqLAqIqaeIPaqf1/7t6G02LlTZB3jIs6dBzBIQmd8BlKFEB2ANpFCEjFlSS0O7CIOs3UiwKzrzWgOHZ3nSST3qIVk9v3aEXkIRUldYtTBx7EjJ9l6r1BKhap2Xz6HKSVEjPvuJNO5/VCBnCyKy5jE8itd7xDDHYoDD7OYsquR9HOs6xwf0GgTm92k8b7aQuZYVY30d4pE3Gi70tMMpm6FcS2MNWcRiKq4FxUJjtUMK9g9BqpTseQXsfBC1kZI1abXbycXp1u20M/MkS2V4s4mtbCThkwhIguLKmIzhDTSFpclDKP0oBMhcKD4Jo7n15ZMSw3Gm22MpGXyp1EItY5TFcnleQCUbc58ciKRfzDePLV51LhnjYgjN0MlbrQjARzIK2il4oY89OSBWuO7/S2AoaGDg1v8q7/rv823vPqdpNRBFXIWulQZLwa++Okv8vCNh3Qi3H7xBf5bv+uP8jd+8q/wi7/0kyQpCB01OWWkLvtTbYZ2Ei7SIgobH238uHqisVZzALZ+vIYBHDVOMUoop/zDmM2g9pXrOWZggqJw8x9RZ8zrds2DcxoB9ywn41FRJCVVzalTA/yEOr4xXa4MidUgWwl/v59Q5DTZiTmKlEISa3vXFDcmG1RP+kfskNpaccWJo/AwzlmEmrTtYRHjm3PK5JxJKZEdVTX1TQVSZyAt2brrxkruMqnr3Jgm6LJFjIVGtdoDVRK9ASV/ntpGRm3PV9fB+5xULNmuWv39QY8qvoQQoSna3u56hxhupgWJtAm37DqmQ1WlOldpBSc2sGGkc0x0M86pfVZb66Eflsk715hMYjFKoxnAF2syY6weVtvi1aiFaRtOESvuwTegRGqDdh+1ceXYhMUz+xCkbJtKkwXjTdPum6z64g6k7Skv1yvHPozCo23kLm0Btdf5+ydaqU4L03MCwW1KfCZOkcQNE8/v/0weTbgBqG4QzFbYGHSOZMaYYywCqE6z5JZQVZdFSTMmwX1G/iIURHFvhrRtniYaRBsKrMDO4V3+m7//f8g3vPBhxuIhqiqlFD7+d36K/+j/8n/lF3/lZ7hYXtIh9Dv7/NAP/sv80f/lH2Nnd5+f/tm/g1Dd+W09W5vtbXoAS/7JhLxETV9csPelHESKTFSzQ5UILALIBJ2yWSUefWkwkDG60uM5JYi0/ENsr6qB5CSo4+dkgLgEsBZIyZL3VFNubUdZRYKWiIKpyTUG4lU1OkM0gY4E5RHRpwYdogEMjNKxqzotAeL3EYVHEYXYY5qls+d02JaS88RmICVBKYWcZwzjmijiySniNaHUyjCOpGR1BkomS3Y0b1HT6JRRyFtVlT53DJu1JbpTNmQvAtVXtd+L+j5Rr7CrjNQEo4Ok5qy8uKlIIXUxpm9+vSMMt23mTFbFonlDUh0y8awyIYeUA8EGFRIaZjOKz1MEDbK4wQwkvOUo3KBnye71HdnjBUGt4CXCb/fsSVu1mXpmOLnb1MZtgmnTIwmqrnzxZJ1MfJ+kCTEE0qq6RVFAS2ZY0q2ZJELpgb+yFYhIe4WjeL8vR4XTpwGutEm+gXIgM0ft2YsqUEWzhu8x4+FW3re0GVM37mbPt6IYL7SI+5U06awTasZA3FilRG7WiCZXi5yvpGT0w1alorPypmH2ebPfZfYPT/gjf+Df5v13v55RE3WsaCfUofLX/tJf5n/9P/9jXF4/YwdBM9Ra0eWSP/eX/ywf+a7v4nf8gX+Nz332n/Ds7DWvWtQ2T0F7xEyIRGFKGNyIdwCJikO1XABQSzGj46i1oecs7CyMB9+sqyPUihZTIvUp0e3AOAg1lDfJaKviwZN6tFK9GCa5AYoktPGwQpVESpVE9dyFz6OvsVrUqSdFam0RoGtLbK4bCMMULmqJVBfV+No2h17FpKoxQuG5wkibKCFoEyGqaQcJ2snGMovXU7g5VgcLXc4sr685vnWL1WCfk8ELmrwSUhNlXejnrk6qxeomCtTqtBJC9nzAMBS6rkPxysdOGIeBxXzOZhjMYfh9kWxPFFXmfWbRZZaj2D5Okdhy21KDnqzbaZ83vd4RhhusmqvKpL9OYsjV+G1P3ou9UnwRmoFqvtd5YKGPvWHxGkNbDNpCbdvQgazdqIlz5q7ezo6OhAnJiBeXWKhnC63RKfjntZBU4/HsswIpO+BOzWD5ZvdChloLXUQXgc51er7Y8LhaJqriWuVhjKmAOBVR3VQGB2rLcTL0KjEuwW87HSIWzZTJdk7VhP7cYbwLUwJN1I35pCH0jQmRqDJaRdr3GJqOzwinlJytEQ+3LeeRO6HvM1WFMhifmCa5iX9WsMmJmhTRxA9/9+/mQ+/9EFdXlc1mTT/rkFG5WV3yp/5P/1sePXnAWCvrDhY5Qz9jdrzP+973Xi65IpeOj7z6ffzET/8lilRHgDIlgFNqBrGKxeTijkgwGZya/q4ldWVrTBo6cyQvKDlD7oTcJ8axwFhsvauxtLOdxN5+YrNWrs7DGG1RjU5FGGBJk/KFmHPfS+oJegFx4yNewl0RS4KL6+nbXsVlgwpeKm5Ayp1Bo7lSS9Ql9RXYIH/EjVb23l4T60CniC55XUQiWcWhJCSbNLZWgdGAnlEOCU2JUYT16pp5N2MzbNyTVnOsNTFsCvOu82RocUdWUM1QnKxUM6zqtQtd1zEMJhfou47Lqytu3b6FDgaFstsq1UqqylgKfd+3fY9ALzC4+styATbOnWZ0/BqhSkLfrCidTJsVtHGqEmjLDbK6B0xiRTElyNEJVzJiXq9rYX11riyZ4Ujm0a1CDiO/UmMC3fiph95YZjtZT4ng3kz36WhDrYgl+aSZAbV7y2G8sm9WdygpZYqnrDRVzGdFmYVtInJirDiCpiHzKhbKRlhsTm6iZwJ9BhyViBhw6gbcWTWLt0UT2ThHAZEFLG6MRJrzo6HgvBXJ4OPoz0jcn33Pc5JPMZmguuwwFAWB4J4jF9OUKM7ZCl7qqDZmkdhyp17d+NivEifHt/mOb/wehrWVhNdSGdejFUTlxOHenJcPF1yvr9m78yIf/b7v4Yd+17/Ct33023j5pZeYdx1JMx/5hu/jZ37x/8NydUENrY94ib3o9uO7A5z4W4vus+mV47lcPZGQxgGJMwuoQoHhxo1KtTmPiCUD46awXlaGTXDlsXrNOYJRA6CQsqNBBxoYgjfEoI1+k9RhVcRmhKpurR+npXJQQckik6rmyAImtJFoCUhH2n4rQZG0yKuBHSF19vfqFEmS3HJYvgE8Ms7kNBWwdC6PlWw1E31OdHsLrm+umaWOxWKHMgzUWuyZVJjNerRW1sNAv2NRU7Ft6nUQyZRNKTUnPZZiDsJj1sW85+LZGQdHJ6iO1GFDLd6fpCqzbsZqvaHLXcARVBKzNLM4LLnYQDJ1WDdQ9VbXO8ZwR7iQsRA99NrW2ts2tXl7z2q7C269RnzhJ42Bd9mOZKclaEkvUugeElBc9+0o3LWkrf+Av8wy/RZ+R2o7pTC8qSGW6XHi54YsMtLkhgOuolGlTyFx802nXbu/1DAwbfFLhLYxZmwn4NJk4Fp23sdoC/lGAnBSY9jzmJwstTENFF58gcd4VMQjjQmxm3F2VyM2hoGo8vY0b9FAiEzP4UirUSHBscc3uFOP0KeOlXVwiRLGKRJQ0YbAaSkqIplv+abfxv7sFjc3gyHblLlebpj1icVOx+/6Ld/Hzre+zK1v/0G+4/t/iPd+3at0GBk6lspmPSKp8N6X7vHi/ffz2S/8jCuQQpOv7vgN/XWewPaUrjtEI5MsgsDWhmS0utGTrYVqNszmNaRxEsl3z7YUpRS4uXIeIng4d8bS1oi/P2VCQhmNrxJR4GLIvPp9dRLFJ9povda4KoZdYw638jYWwk1rMaIKV9m4qLLlPMyQT4Yq5TyhB51AGlVcLZNIXWIYBn/m6OsTwgFlrAXV0exIFvb297leDayHDTvdjJx7tBa7F62knEnjaOqTnFkPIxvFeiJtjZei1Ox5CS8WUgzxdzLj9OKUvu/ouw7JmVoKo1ZyraScWA8bpLOWGsubKzpMSYeYjDL3BvImgcWbX+8Mwy1iPRccKRiKdFpAXdubzdB1YvKfoi7t20KYUVUYRQDe5cBDOtkaDCGS3JVMlij79uRbpD/EkZKbpOSGoRUgtJjeKQqXA0ZJtfmWRCRbIlLIIctzzjZhUiLUwj8S7vFNwhVqAuu/EdFAIG4arysptb4p4mjPip8bhGY78x+oDWL9S+MRiUfEjHD0O9FmsKXZlmiGZEVPmVqLj93E7E5zhCde7Uuj54uV55uxbXhRIlk3YTLas1thRE2JkIvG99mSMuNmwK2j72e8dOtVnp1dIQhd14Ekuj5xebmhjB0/9Lv+FdZXl3zHD/02crYw+fr8kosHz7h87TWWDz7Pj/3sz/KF08K3/fBHyan3hJ+NpD2fuvHwYiPP2QStEam1oDGUFsq47bNfmJiwmXyjVzC5WHTuSylRs0UmONAhGcgpPnYhd438RfbQVtX57oC+kaMI8KFKpKo1QSoWE6Tk6yOWSewtX3dVquuw/T7RlnC1Tnv+mQIjxQHApNCKYqyWGE8JiuvDmz5eWCwW1FJb/qm6M0xSzYjOZoyluDTX7ndvZwdQyjhSykgMfZc6RJWdxQwqLPqeWe6oVah1BIkGCBHNGJ2Zs1fPqjfPSrDYXVBrYTNuvMeYILMOFLouOdKv5Hlv0ZPS8iQJS6SStqHOm1/vDMONTb4tZpmMdkCzJk8TBlFXTRhumaVEJ8Ko2voj4MYqem6A+XlR++zqH9ll8eRNckmQvSNH21dfbEh1/XAlJfUJNDIDYar29PvV1tDKKR8xhBqN8ZK3YFP/Pb64ozReKUa11Oo0RmooNMqdzTBZW6Mk1skuYQ6uFaE0o+sLQSCqzqK7YSbQsTfH8sKM6knhZLvH3hWRjH92TZNpJhItWpHeE2tqTqqF/WGwWpYqWnA61SF4ToHnHZWGk9qKFLzM3AfY+XR/zIissAZRqrA7P+DO8R0ulxvWqwHxxTJSKWPlajXjxQ9+Iz/2V/9zXn16yZPPvs4Xf+6n6R9+jt1uxWxYstid8f0na1bnn+fv/rXP0h9csPu+27Yhg+SWQMdivW/iuVPIGKJNsGNPMcSXxXtnEBSRIJKtDD6pjRMYMoem8sEjlSydG9vgeAtJ1Mff9odWbQkwa/ngHLe6HDThSVLXeitUscrGlDENu9NmsadsykOn7V0MndtXgr8PR5+iz4C1oE2Zqs7XE4ltfL4TlaHRiVUTfepa75hhKI1iy7kjS4eWtSVgS6XWagbZOw0OZYO6EqjrE+o1BWPBo3mfFw3HpG6ce3LOjGWgUYTqzdnGWIPZ6M5aHKxlJAvkZK8rxfnr4nJEu+9Z11G1UEolp84jn+prfore3+x6xxhum7EpdErS2DArcIgwsiEqmoLDKvVyQ2oZTzF4+amKN+pJgTZpeufg0wmn4TKlqIw0tOPNgyQSkdlBioetKTty2fp8R8lT6wVH8P5ljs9agsoaZxa0jo0OASihMQ9UFaGCBlskDYETyKcZLudCxTZD/N0udXrCWxD6aHcpERxm9ffF3ajb58DoyV+bxTsreum11hhXdx7+pZ7vDxlBGyuLLHxsNJTYU1e7NuE6Pa9JQx3teiRjmN+dozvRKkrOtrkur0fOLy554aVbPHj9nPU4sL9YsLu/y7ge+OLnTvlbf/2v8Mbf/zFe0qfcP9ll0S+Y7e5YMnRnxvF8wX/t6xNvbOA//PiPc35xxfu/9YNmfLsZkpQyltZtUWLuFNvMEXpvyTftFeK0Q3X/o0Bp89yEo04hRfFVK53X7W1kfU+aoCwZWDDO3KOr8ARMRTixD6yXSFBw1fIvwXEzOaPk3Pb0zQmSWGLT76dKLAx3sI1SEV9DFknXXAyhqtGRJX7XoJetwuQqo9VqYLG7y2ZYgyo6jOwsZpQysBmtElhroVCog7K7t8vl5TWL3V3GskZysr4qkuj7jlo2iGQ2m4GcM8NmQ9f3lHFkLCN9l0mpo1SLHssweFRhdmAohcVizlgKdSxOkxow6fMcyYmhrinjmp1+zmqzYhxG5vM5pW5Mjqiwt7vPZn3znDLnza53hOEOUO0mOeySNSLyRV0Flzg1q+S4xCvqwBYN3sqSaA85ocVoMJ+hJSTDwFWZkh14VtzXmoeCGbASc63JUFGujpgESTD6Jpr6gtlys8RpmK1pQqI3uD2vh8vBoVCfL5hIrsDQiD46YokH32xOT6bI18mDVjpMi2OwjZe9qCh4S22RQ+te6InU6o4opE7SCqHMKFnXQ+c+Q4OLFxz4fQfCt3FNjKrezL6St/IBeDQ1NaF3pJjCqOMTY8nASNU1jbDZf4ue6KAmSi08O72gyz2b5cjtW7vcrEwHXeua1z//Kf7df+d/xuH6Ad/8wz/AiyevMNuZUbJQb5aQKquzCy4vznn47BG3bt/jmw/u8vHHD6hPr8n3961SlkT1niHuqz1JaYk1bcnLKQdBdJpJausseCQJp23PXh2lGmBw56QxB7biArmC0SG2XKqn8W1Ow2Gq30X1aEXia91x221ok1VqK3t3qOD7s1anNhOkHoTMsBkdgRtHXj0f0fKUXqYcIEBwKW3sdaxmubjj7Xx9aHOC9jld15HAuGPpGYZCP1tQKUSDiHFUhtVIlxPjOJrENBmnLSLMcsdaRz/EwXMlkuj7OVOfFQMaqQOppmqSNBW1lTJSqr1/Np/73skmZBgKferoukzWzN5il3m0h11u2FnsUeuGYbCeLy6Afwtr6c/9tr/9r/AS18vZGpqMd8j9mmEXlyJpIGhALNTL2YzoWGiVh9W9QntPMxy4uqQGYPPMdWvuSWR/RVzH7eizxgqPe0+xpFztILjqpDXgdOQubTNHgVCEh6Y0kbaQEfGNIr7xIE52UQ+PUUvkBMoi0JdMBjg+ER87RJybtMIDaafBZH/yLWTlBsSAtPg95pZH6DrbPWWYzEJFW1fB4lLF4n1PmuNxqWPnSgacvsIjDTPWAaSlIXskkrY2tjU0vs0heMIuIhhJ7cCNcbxmGJcMNXP1+lM++P4XWV2tWfSZn/17f4///Z/6X/Ft9zv+69/7m0hSefDoi/T9gvlizs5ixs7BPsPqmmfXF3z+2SU/8cuvM+wv4HrNEmU3ZepYGX1+e3cx6pEeLkPVOkUZAXFH17W35KZIQ7gpBYMdp6kIUTwW9QZWBZgcsdvuGZVJYonVRBiN4qVi4vBAcR4rTmiJlHhxyy7N2YjSclFarUQbAcnJ6TNfB9mooTDxhsTNeLvXdwBGM4qQGhqPRKRIpmDa9qLVWv5SoSuojFQdW4KxUBhrYay21rR6QRwRQUA/6xjWI/PFgnHcIFjfmNVqTdf3jONA7qw97HwxY7m8YTGfk1PPUIqDCSi1MJ8tbHydDtBsJfHL5Yq+6ylafG0WcicM6w2L3T3GNCIpk1JPko7EnNQnSuno0mg5gK6ntY14i+sdY7ij+g03fBFKRSRsNSjVjzETsuRWeQTRWD+SWVvmKhIppkR1z25URTO3btAN3detbLdleq2IwtA24ElKdyjuNMLYpTAkKZQxyQ1wbTyF1AiR4/3i/bIdnTGhWVVIOYU5a99ppeORILTviWx0/FwmIS8QJcNp6lXug+TL27m16tGOUyRtozuv7405xFEsbiCQ6d6TqxqqG83szxh2OtCcIUl7c+iXQ88uTjOFezRVA82ZCdr05aFESXWKMgzpFkJNUWvl6elr3Dr6OmaznpvlDbMk/L/+4z/DX/6Lf5o/+K3v54c++iG6Ag8evs6D1x9zMRReObnNvZduszl/zM3Nip/59Gv8F5/+Eu8/OuK3f+ur7Nz7AOvFjKhyzZjhtQfMAU6nyM0w43RQg4+B3yVxZJk9uK1ZWyeGwuL4LEt4Kqadlqn3t6+P7JSazV1uHDQxJh6VtfSxR3uu3/D17/rlcLhqskDrSeLPpdooGdXk5eGVjkzREAa6M2o5EbaiiXBLDmMcLAipVXoW1a2mYJWd3cRsHrkE7x4SqFgtp1FbdtP3TU5+ZoU1extGpetMCLEcR/ZmM8bNQDd3eR6wWMzQccNyWdg/OmLtVZLVDVINjT4GMKUqOXV03Qwta1/rxY4+K4Vx3DCWkVELQx3oBcaqzNwZ55QhdXYqzkR0ven1zjDcbiSjUZJFC4k+wiqJ8m4IQX/MyXZjpmgcFUu4qUgiXtWthGdD3867Bcpl6meQJbLikbkP5tkSmWFAg6aIjejmyx3DpPFt95amtv0RLTQ6KMyouMTRPzsMnjh3lhJNFz5l7o2LD9oDIuwLDluA5Jre2sJjqdOAWlLIPq9zY2HtZL1AKAX1UgKQmdFGKF5JGonj7LIydQes1XXaVRt6NA1rzLsXV4iH1TG2PgcKjfuTbdqrJczs/sYWj3t4a3ic09PPcOfwVUB5/fMP+Pf/vf8j//Af/DV+/4df4OtOFgzLS05Pr3n88Izz9YZLrfzk668xfO6LfOeH38vewS4f/8yX+P57d3nlcIE8fsT9uy/zpYQl2by5WKB+kKn+KOZPmi2nURFuxJJk4jAG9ZBKPdEZ/84ptWq+cHVROu9D8FyTNARPaAb2th/W9u7UchwJsYMZfO1E8r1JP6N4zROqour9s1OLLJ7fdwFUpCUpBQcUvlfVlSxRrh8ChVRri0CsmVxmqCOSYNhEmRgOEKTRailbTQWps+hClXEw3roqpC6zWq2sRN2d6azPrDcDuZ8bnaUQx8P1XWfdEou10B1LcSnihtR11Fqeq5uQkMECORuIq1WZzTJo8bmu1FooKMOopGyyxbEqOfW+578WDHeg4IaqxCcrVBlBPUgzrikZtWEIo6VuJlTjYVgOdCzRq422yFQmbjjJhLybhE88UeSSM9S64SHVw1BrlK4oOZBJkwxNXKNtKHWuc9JRSyTwvCgoCmFy9Clpn1ldgmi0gr3Gzq9r6EIqnSswplDbXYlvGscx2CNtUTfNl0kLr7stJI2H46l6qAoTRxmoy413NPtrxkm8TEqEpMkMXJoCwW2KJbTcYDmDGK8w8Dk8dorklaH/ztdEO7qoScy8ig2lpsxnvvALvOel38I/+fs/z//t3//f8OzZ5/nOFw94Yd6xOj3jlx+e84mHp3z68TXndeTZMLLabHjPbua3f/PLvHq4zx/9/g/x7PSar3/lRRZ7uzyQzGvuxHHMSkotghjrVAQk7sCC8jHboI4C22DbiCSlarHmSSLWxyIMf7bxNN7YEHhyI0QFIXt/na22R96pz1gLaSAn1YhROluzEk6DdoBtE6fJlIEJiSNR0uyoN6nnJXwfdmISwuJl5IaqUzvLNM6Sxd/n/sSTJrWpkajSIt3NSlktK4v55GSsbS3M+p7Nas1iZ8eUZWVE1SpOsxdzbMqGRb/wvkEGbtY3a/Z2d0x9I7BeDezvHqBloO8jmk6oK0WGYW2AJwnDMFjBWJfp+o7lzQ3zxQLV4gods0M5J8ZhqunIWslaWzGWKtQ60BIBb3P9hgy3iHwOuMTs6qiqv0lEToC/ALwf+Bzwr6vq6dt+jkbDf1t8xRezITma8SYQbsPYUXhSm9wq0GrjECWW2mT0rey9EuxhlJVn3zvx2S3iDSQBjpztvq2JUWoLO14Vx4BNC9w+tLWw9AWvWJ/kxJahlQkVtcZREoGTPUOW2OjJqYiKSjV0lsxldI5WJ6M9xQutQb9/pgZadYcWKKuGA4t3Nj01zWiLG1lEjapwp2uUlJ28bsVG4rdv0kVzLtK4kIZWogd7Gy+ZHFxbF74G/OfhOHCElZKfyBLWAUN0l1/6Ao/+/t/iz/6ZP82zs8fMERYFZkAZ4Go9cHByxEfu3mNzfcM8CQ8ePeLbX7nNy8e32du/xXd87EWulxeglevlJeurK9jZaa0UtEkAnX7we4qDBhodoQYEbCx93GN0I/wmEX1jIjHY2jL4M9sp9EFz4CftTOOnrvAQL9xpvHjRiUoJZkZr20+oyS+tf31qB/nG7Qa4aYf9RoLUqblQTbnsYtv8O3iKbZCaAii6E4pYPGeRm4Gm+Lu9J9N3TlWQyFmYzTFE3gn9omO5XjXpaE5iPDwJkcruzpzNaEqRqoUiMJtnStlEnpj5vON6ecnMq2rpLHLQ9UiaJXZ3TUe+HgaLMn0qS610s571emXrm0qXsxltTLpYNgNdL9bKoEijnxJCHdfkLqqu3/r654G4f0hVn2z9+48DP6aqf1JE/rj/+4+93QcY5eGbMJCDw8AJyVlIFK+Hhm8mFYNAYuqoZwoR03d7pBc2cysUsQ9TLNGXVJuYX1OkDo0DDu8fIZ+bJ0Iq2E5aUX9XSu0swJbpRx39RymvUzC+2wQLrQwceO+H5PcZz+0OYOrmV5vTC3QbJ2mIJ60gDLgSiUyUpmlvTi72mwRlY+X9JNsEk5G3Mc9OAVSEmqOqL9CndU0z5JWRJAxlBD9YwY6Ey9NNuHM2JYNz+5HEgjaBUdXajr6KgiZ3fp2/L7pLFkDWa+48O+ezv/Dn+cMfOOJTN/v85Ge/wPFuR9cX+k65f7jLnaIMCDLb49bunPzSAfP5gmcX1+ws1uylBbNuznK4ZLlas5SRmWSKOwqlWp7Au0sZKk0tieo+8bl1jM+5SgGXwElEHmpN95ujh0afWSm29fhpSd9mKO0+pkK07MbS+PAwrHYivatIVFxfLc/dZ3uWraRD5JKCWgyFF1Ka7DAqdCKRbms5bz17OHghVyharC9KUDuSQWXrnOCgT5S+i/I6e4rURfRpY9gtOgMSaoiXWiDbc6ecfN95b25VNEt7RkVAqiFtMQsyDCu715woZePPnJjNunbMWPSAUVX6LgqlgGqnzptiJfv6qBQgzzorunErg4hHR7zt9dWgSn4f8Fv9738G+HG+guE2o+lUhrpcaVv7G8Ygkm8RUsdGF282I9FKFT9E1erP7NABpx+SNFrEfENCUkfqUmMWrMGOF9EnQVS8j64jQ8VRE0h2rbAEd5v9uwoNsOKstyQviAHcS7fmVMky87ZfA3FNfL5OI0Vr4OPoLQxuS0oKk5TQ6SaTpQdq3Ro68dapOt2LrWAfb9fV4uOKhDY3CnFs0WURSgpM6fhdbJPFARVNTZNsA0bZPym7ExJXw6iPhU59nIMOE6vOC6SZfFxiOdh/psrP4iXgMu/RvY6rs8cMt/a5P8/84PtvcWt3l9zN2V3M2FnsMtvZ5ebqmvsnJxweHrAaN3zpwUN6tTD3c5/6NJBJOyPLNPD4+hp94RjpZKI8VFvfnOha15Kz7rwt5aItOrGG+8K2dC/yMZYsdMpIjcJQonGZ03iCGxOMOknWcVPIrrWuXlNgNI4l+3yo1B2xKyREKlLdOGjYED/TVAOyGJUomigRASpo69LoezYMfYuy7B6yP39EenaIioEOa8RlgMAo40AsnjNwaqEqUx4Ib81AgBTLB4yamsMMfJAcKKJGZ1pDN7FDXDItuogeRSLYOnXH0M6W9Yg58v9dbD48qoln98K5Tu0AhlILQ9F2L515YauSTpOK5+2u36jhVuDviKXu/z1V/VHgvqq+AaCqb4jIvTd7o4j8CPAjAPOdzje5kPJ2C1VtFIll1bfE/uJVeU0FshVSS2qbXsjtVImUOjcAqfG3mcwsdySBsY4ER2lZXvWDG7Kjdq9gc2Tciy0+dSPZbVUohqGL5JQyaVFjE8fhCMbtFo8wUkPDwUfIBLapmIwvpWjo5AnBNk7h5FKjMpKEVsAWtsUQkSgKhLY1qUprmhW1lqpWKZkdAQULYfdhV3KD0nnisWxl+keUaNYTNJaKUQiilkUPWWWgdZxWUbGQvPPqwuoJ36m6SRv6s+8z4xma/xoxwSu3efGzT7gZlc89u+R3f+838quf/xJPliNab0jMWOxldvd2ef3hQ56cnXJyfMRqueZzT875Sz/3WYbVmt/yLa/y9YcH1E3l7NkSLjbMbi9aZGWJsjT1CXcaJDp1BJpmelJD2jGmQjOsQaVF0hdwdYXRPy140qANhZGRolZVLF4tWSVOuAfEjB6ISdMiAcrzuYpU1Tthmla7YslS8f2JeE8Wkh2akVJ7xnb4RbVa0IhwbY7qpPHydTsqqNcMtNOcUKROuZ/WEdMdWm6bq3qELRbNQVMyWT/37Gse0IKoVUynlMkagDEUPMXoKa9ERf2e4wgzBzWt2RWerBdlaInkyfEkiUKfUEZVp1AckUd9gkLNyZVRdnTc212/UcP9/ar6uhvn/0xEfuXX+0Y38j8KcHi8o1kSKXtzeaJhECBiyScx35xEIt/mm3s6AFdxjs8HLTfqwrLD4pvBOvdZSJdRqNVOfnY0jjemyhLZdOsVDta7uXgoI0Dnwq6aQrvgiDFMYVZUowWluLwuQl0L/0RCFeIGjUk9QThxwuSG8bUfRqnEtuEV3yiWJpCGHGzNB93BhOAkNlGE4qkhbjz6iUjImAtnHt3QRLVilowEtRIopYqXnfuhUZM8yBG2/6w6kNpydO2hPMSsrkZpCmGZ8H31zW923BC7CN7LW6jrkbXMObxzwP3lhve+tM9mvWZ374DPP3zGOM65LlfsrEZSnyl15FAScn2D7MxIexsOboQPvO+9vO/rX+Bgf4/zBw9Is57HT0955e57id4iimdW/VgT2XoWdS2+IA4s2jkvzajh46SOnNFWlGqvddoqe97AJKthZCB1PbVWxqpIcfmgO7OaalO4qI+NiiDV1iHOvdsxaK6r9pAtkqbiK0AdWeL7sh0lqJXWDVE6P3MUz1lYF8GqYjUBng9SVyzFeWjqUZZIOLp4PvEEbDgaQaQDpx9CiopG+b/tSPE9VcG6Scb6F9BcUCp143UcTnvat1o+ImXx6l6bxyTPHzFW/d5abyCPBoqOE1yqE/evxXI0QaGShLHGXIWDe+vrN2S4VfV1//ORiPynwHcBD0XkRUfbLwKPvuLnxJKNwQZEW6mFtWZVXC7lG9IryKrYJs3ZtkN149eJoYsSFhLrd2DeLDTV6kGfImr0ScJkbNmRagWkuH4WINkCjyO3FDs30dWGk2w6dmpqaRrilBMrkHHEJZGxzmZcRYheBeGlIYzaFtrxTVo1ogIaxx4J0jo9ulM8jj4TxCGpQvRnVqIMW1Wak5mIWOcwndISSS2asDkMh0jjY8FK6EWrl6hbdV0kGpOHzXZggtNgvjOsuMaMf5wrWtv3Rf8TS8JWjco+iziCA69anO+vPP7Vz/HJn/4sm7OB/853foC7d++xuimkcUU/71gjXF1docsVWTK7i47c9SxG5XD/gFv3XuCFV9bMUo/eDDxcnXG92jC/s8/xC8fTYRC1tDWcvQ3olqc0xxMV4NmTUE6/VVXvZ6S+THxf5NQQd9U4FSjWE9QtI+rxh0WfKCSDQlXFF9G45Rz9oFw3gxYxTY2mgpKT6Gcsgcurm6jc8j4BuKKpikgGR+cRQUTy2MbGAY6j6Rw0ngMX9XC1VjXEWmPdhhN0BZU7BHEEbtWP5oDU91HQKsmlsdPhD5B62L+dqGTOH46kMWompitoj5T8cGNPouauMxDpkWVVO3wi2l0YwPP81hQc+vNZ4VUCevX9V4zOinbEb3f9MxtuEdkDkqpe+t9/B/DvAH8V+MPAn/Q//8pX/CxwQ+L6XgfbtWpLEAaaLeqaTzXklcOraoGUDPWlCExtAbWJ2uKp1Sd+Os0dwoVUHVsiFOxAXUsyOs2Co0r32JMTiH7G9ruJvrFKtGg6Fb9vp4+IGTBrdiUgFbQ2VI0b8JAIQrIGRhhtEZx1U1TIpFgJzk3je4hymxxZ2qiP8KZR9rvkVWpiE2Fcc0QDKaoncxNDiJgGW1FGreYkZUJe29obHPGZcfJDmkUQra0vjQMUN+zGDMcBGbo1LtWRd8gpBUOXsdnETmTm4M4RJ3cPeNIv+Y9//gv8a9+8x15WfvnBObOZonlkrJWL1YZBlbs652AxZ1c6+vmC3SJcPn7Kwd6M99x/gfPNyGocGQ969o4PwKkKtZpoBxpT0vy5E+7TFLHUrU5wFv2ZZK5Uy5FYB2H77FY34HslQIJFFxZlFS0tJyExPj73qVbwQ2+jrD0aNQVlY85ZpuZjgXadj24RGdIQtKpMDd3UD/9ILuUtbiBzJOu8TXOsrZhLb8tQo+UgkKph5Sqh2vC4xA1gK7QTWs5HmQQO1pBK0SpWAK+25xOCVevaM2/Wha6f9k0bM6KXu1ld1WjNbLagdVJ0IBKHn6gro7J/x4A5QFO4RIMrIfViYNHBZrQWKFpoCrS3uH4jiPs+8J+60euAP6eq/28R+TjwF0XkjwBfAP7gV/qgWDJ2/BNkB9sh+s+qfpK2P3AKHx8cKuCLtgMoUQ49kqR6skPdILn2O2U/xskRbqwAcaFgwgx1deWyJsSpgBjTGlOfxDrElRp0mxkT151GpZoBQfVJ2qJDXEkQNIZK9Hdmi1KxzmXBCU6n1qdJiVO1lUhHqGdpKR/hKJzAKk9VsObwyTP3Er2/gwd3CZpXiZnWNrhUo4OM4jJrGyi7FclUrw90JO17b3KU7lDFjXlj4cVPMZJEwSrmMsGtG4J1f2PIhyiL94/1+6lR5KNwfP8er9w/5elrn+fzTy/5d//ux8kJ3ruzy4fu7bI3974Tah3jNhXOb5Yk6bm5uObm4SM6Ua4urviVn/kSt24f073vmGG3Q3Uk1SkalFjTjmAt6hfvkeMuXotrk92RbVXMJOnosvH7OdgLjx7sw7yndsRXbjFVDffGoRpJrKS7uoENLb8lzpN3791KArvxVU9WtijG96f64bcw0R7RtCEaheWcmsECz1l55GBcsfVxCcPfzJOKwbBA1OoSOYnnq47IPc8hOLiZHEYR49k7j04SVuq/aTvA7mH0ka4KOiib0wKMUHtT9pCaPF10Un0Z2EjgXQAjt6MOPsQjm+LGPSIjwaLibT18wCmRrfYHXecRS9BDb339MxtuVf0M8C1v8vOnwG/7p/ksIZChDVYbNPx/LpyPwYmm7sFd4cg2++BaSJVRHRryNK7QQ2eDAiYbc7g5NZPxvsVhMF06FKKq5Aa5qmFoxBZInDdZGrLFk4jJs8ddSx5ZZr82w9/6UTMhCFuMzisySfgsiRd8qC1ED5Qbgm5bWmi8YXTaayyOTjp2Q2RTdr6dcaneKjc+uzqjXitkEAZqocnLxjaXtAXZtn3Mrz+XGTMLFU0Z43SRO7j4Weu7GA/kKDG1tTGNRcvku2e1daR0NbNZbXjj86esrtcMtbBUhSJczUYGKkMxCqNLMAe0Vi6WG8bxgoN6wHKtXJ3fcHZ2zZ2DPb7xlbs8nVUWe7seuUGhkqo4ovZEn27lBSJikZgnS3aLTG1UhUSpE0oXyU6ZRP6l7TNfuz6eutXtO3khjI9XTuY4DD+YA1ZVbyEqnrtQR9jVE5Q6VesSSpFwxDa+VmGr7SARcjyjtURtibyY71ibDmTUqRPcoaTY8b5WktN5ds+uyrINZ8i7TjK6uh11qoOfxnMHI99WO9EqWOtIdAol5LWScC4uNgvR3qzU0pQtyQGjHYvny661MnX6zx1Iiy4c2QnSOjRWalOeGG+uX1XE/c/tEmzDhNFpOuptIxdel9i8qdEfuPe3I5gCvSQ66exzkoVNkxvTCVFvhbDZ+3BM3K4ZIcORxSbJDxkz5+uhjipaPBHVEIJMsjtCguisioTGI17bwCK0sIq28UIxgle/aQjGkp2KHsnQKHUXb5qv3jmwHX6QpJ0ulNr+0FatiqN2fO3l1twpucOyO6xafFFOcjy3Tkh7rTcrauPr6N2/QiKkdjQSXC+OEKN3BmpjnL0aUe0GaLSTGOJRCdrKf97QJJAqV5cXfOmNJ9QusXeww+p6QGrhybBhXTJ97hmqJaxn3ra3yx27uws0V1RX7HbCS7eP+cC9+zy+vCHtzsnzmak8kiULUzZZamgUBjc0HslPxgkP3bO3Q8Aq6FrI7wtCa2FKJji37HPpr8RbIdoYKhTXLpsRN6lsxsBGShk7SaZ4Dxw3Ym6g1PMfEAm64NenPWEgorqTiXh5Wr8h4TUD6mDJZXka6w2a7rnqRH8kR+vtxPpYkpLMLrgDj5N4CHZdTIESvX9U2Tqww/MpPqhVIvoTSF1bvlb5KWb0t0QEotL6oMcRe7YlTTlVqtG0kYNRTIaq7jSybyjViN4ddLljKpXWRncq0vsaMNyTozUPLW6Ya4Tc/t8aCQxo6Bl4DoE19ixNv6vgp6nrlMBxXXAktMwbmj8ODrx4paC4QYo7MdRq35Y9jLdG6SFH5Dl0NKEnO6FG/Pft9BSNMHYy9OKKhOeSmMnrSzU2WCBcIRIDVv0Y/LCZ6ZSl3YePbkuktqy2OlrxMbRclvp4B9/ud5e2E5PqQMITpClFir1FAIG8bJK1GdvSzIU/H4H82lQQlFMY5oQ0xQWoyzxtrHNnyM8icTNmyY3c3q0j3vvNL3F0fMTDq2s+8wsPePz0ApHERivXRUn9gs2wokilHysn+5k+VUQ6btYDr51fsR6EX7y64tX3vsR86Azxd52vWdvUWUfMRY7EIRcQBshRl4MCkwsaDYeOxAEEQanZUXo0xGeOO1QRKYbfAIuakUUKcd4puLLB0WdrYOa/i3mdfidI6nwteF9tMWMb1CKEvM/7Tm8Z/ukEnSBLgkISV5dEvxt/diYDjkwaG2uBax/V5w4/5w2JccCNbXVAsNXqNmJOdRDWIjrNFN+WSZMDqMkB2l4K6s7naYvWs8eKdhf2b3NSmRKUqtSWlK5lUsa17o5qrynuxIzDN1Vby4d5Qc7bXe8Mw41nbDFvB77PqV727UbBLOaWNto3eCBkaRjL+xA0csKzytk/WyKuIrTQYaGVLclaoEUPJ5tRxeVMKVn/XLdJKQnJF73WCh42xyYkNqBzn3iYGZ5WoC3yoByqhqGLkTIHYA2AaosuzLmElMjuLXpdBw0k7RN8I/po5UAwmEFtohuxzzI97ZTxtxFLUIWoCIxIqUm11DZ6ktRODg86ILlTrlE4JELS3LrBxTg354v35Yg5VjdaYmPREleqSMqmQgpf4Vd/MONDv+WbuXp0Qb7eZXOxZi3KD/y2j3HzidcZn43c1J5VGdjVkcNZ5Wq5BoRZ7ZE843h3n6Rwf2fGoq5gtcOL9z7AGxcPvFNitBroSFUo2tOqW9UljTpFUlm21j0OJtxBNV447IYFH1bM42tfUNNVJ3XQ6Qg56gkwlKei1sLXN1YoiZoyqjk6+9TqxyNNPHr8d+tSgGx5B793W77xg3DG4YR9fhC0xLOlrcgAR9+RLI19MNGh4dETNFAHqSUMDam7Bt6fPRLWgMsoaYnZLV6uAYgakYGDlriXpraRyXGE+a5br01eW2IRr1NcSUANtIUNU4GUeusoKOK5tHh9sOdvfb0zDHcYYnHk5/ppO7jEjQvSFom9x0bbGrb4Um7hkxvCZJMUh/aad8cHPztI1bAEEzqU2Bjx2gn1xnckS+dP3pnqnxOoo3oltqCkdvBqhIMT0nKnkJLTPzotUgm/jm+UgFfTKSnGUEyFLjhVo/G74Atz6HLMiCdHvYFWkvgxbo5Uw7FM1YD+9a7nFcWPYguM7hs1NqvnFlp6LgB3+0u0e3X6QNOku/c5SUEHqDP5W0g8Wuz6JKFAKdVDYiHO/ETjkIyO2c4Bh6/ssbMeOHrPCfcfnDGMwu0P3mN9/RpPVysKHdLZuZnny5EnyyskLU1aulxxPOvY1MqSGfObaz6mL/E7fu+/wc987hN84cGXGM6/wHr1rEUfIWrNKo3DR/A2q+GA3HCkjkIF51EtepiiRIiEmK234LibEEMUpQRr5c6+tiRkc6hiIKbq1HYhtMcSSWtVJHXuDDwXEWXhajkXoxCcD4/170uoxjzjhnLLCViexCMr98TG7aZpfiVBUaJlctHCVpre78uezxq9hbN2A6qWC4oO7jZirsapCuoHBVeLbJMPa+jp1QGS1PBCNKolrpAFQuwD+/xaok2tRyn48YoWEhj155+RXSabsrbSeYofiP421zvCcD8XJoknWKiuslOjSCqNhohQRbBm/FYPM8kILXnhu8G9V5xTGIYvbJEh1fg09+5bk2EUr00KDf2Ls5K40c6OMHF5oiHvmEiJBSnQ9HvuiR0sNANoCg5Bkx1skD0EtsDVzhFsbTEnLZ59SA3THONqy8fNM4bNfex8d5uSJ5pWRVdpUImN4IhErPJRmZpnmVrGxyj7EWRtCpJtLjesyakpQy+mamlTJAnCsTXqSt34VjuwdUpjWic2keakoviBZJKtRgWoobrkSYNKgtyx2/Wge+zePiZ3HePrFzz5lYccDWvOVgOnMgdN7HdK1cTZcslcrEy7VKWUGec3mQ9k5eqT/5iXfu/vp3v1ZWTnkk8/PuNk/UuU1We4vnwA66V1svT1RYxySMccFph+NwzGtL6no758bzgoAIsiw+ho8gSlTPMPsTSUHEhSYq/ZZ0tKpGoqHqP7AhlPGvTqTtz6eMTecaVFaulLd/Z2r+FYNaKxrZsSjNuHAB1Kko6xxOrxnt/xXq++NNWT7RHTnE/JWV8B0z3YO5ueRH0wRNUUZz76Ia20PRF345RLtjyVltoOHI8Zq21s3XI4FaoOGuNE+CitDzdWFbrsc+F9UeyZEjP/PK2FaSe9+fWOMNxhRJuysyG57S5h4hMWvXgNqZbYDxrKCuc70XYKcxSiRLEHUbDi6Lmduo79kZmSE6kJs32jiYWise2isIUoEVe8UZXtEjuo1zjh5H31PVqaqAc3bm63mrNphTgGPghjj9M0gbuCXiJFxOEmIozbNNJEvxSimQ7ZjbJHKNNNtOeL54/EaxQYxYEHQYHEyhT/7qlDY2Md2yaPxLC0Oa+OPqWNS3Mz4Vx99Ve1SCs0v9Etz6IXl5rFhNrOo/W4cQcuCJ0kcuq5e/JBzvQfsZsTdzt4Mqx4fJ04FWF30aGa2Eim5My1CsPYc69bc9gpdb1iMxR66RiGDd/4wj6fe/pRfuBbf4jKNeeXD3j08FM8eONXub55htbB2tsCcVCwFSjZ40px07HVOKtx/G0vOL0Rxsk7JkaS0oKmREpKFmUsQYeYFDAoheTGt6Kt/HxqL2vtIGxqvSrR56xK7DeJZUuoPiySq46RMnHGah1LU0wQeyvAhADVi3BE2ilBfjYxaGictSXzmpML26CtBZXlTxxs0NYURPgjkQdXczxFA6t59O55hiQC2XrNKHkCfiKkWp0BmColk0QhUhSwGf+PRIM8hWStfjUckz+HDtra9YpEUv+tr3eE4Qac1gg9sbUDhW3uF4Za6DxsbKGIP5/ZV/UC9KBOxHlD2wgmvveNXaeBKTWOhXKvLWZwq9+YJfM8dPLXWaBavSVsdOfziQJHHJ6MiYrH9jv7hDwTuq5jsx63ULdzvuBURSAabUZTUqhn7fMCyQa/HgnAQOVmaL1q1BeYZC8C0cgZRHIHX+iGpiNMRCDO2EtqtAS+0cU3azQvagmkLaMe99NCUF/H9izaDLF40vb58zVTc2Y0J4z3dQjZm9su3VIqJNucOfcT928PQp9gZ/ECH3jfD3L61/8ai1lHLcJ+n5Fc2EjmcqOcr9aMQ0X7np1F4k7fsSfX3Os6ZnnGOFtA6hhUeXQx8J6dXdbLwi9/8ZyPfeA2L9y9xSsvfAQ+tubZxWu89sYneO31X+b87AFSKhlFJYpSTBEUFJwV2/jemNhAqiZIozlwdY7fEV8O7Cuh4Y+BDrNmSDoqFrVODjQqNRHoFlbxWtYTOi1EZbO2m4nUNeCgijbnFgFkplYONsfWY8gLkNQLvVJtDpgu24MGfwHYIcviXS8DRU+VwuEIYw0b8vV3e9SgKKli6pMcYljj2Q1Rh6LJ7nMs6r2yoxOhNa2LiFwcCBGcug91dk4biVoDe3XSiIKZJJG+gUWmVhpZt3n0N7/eOYZbDSVH74NAW6bfdtTnE2MdwXBvH6g3jIOH+OEl3bPjoVX2xE2ETnHahNElnoxooaTTDF41ZsbUhXwSPSjENaHx/TgaceNJ8bApUUPy45np+W5iNrNe0GWsLQGa1BMULWFE08oG+vQPJ2O9XKI/Seh7RWicZGiJA63FZoiwPBCxoW+ngvzn03epo1Vf7k4fSYPzNoY5B9VhmzI4wBhfm0fnFJO2DR2LF5lyEZEca4kkbJ4jZ5GStQlo8w9NIhl+WZIZp9xZhDJoIS922T/5bg6PPsq3fvCYv335p9mZ9egwQ/tKLolVBekNlS6rsLe34GjWsycjJ7lyMs/0WZjffhHpZ9wsCyqVs+s1R4cLPvnokve8cAupG3ISDvZm3D7+Ol648w18+zf/Th4/+wKf+NRP8vprv0j1U72rYt4oKCnx6MpFwlFF2ANVwyDSxibmyXIxtRkwktNyZikDyMes2T4g9pMgMiUMqw7xC6ISGO+34ubb1o7L36po601iCguHzRokmbhwwB064dgTcbpSi0LdkURDrFYZHN/ZDGi4I+e6ie6TyROhdTL8jvhrnQQCkXQEO7wi6E3j5n2/NpjkSFwi3qEpvyCSn7h9wJPNQRNCqlaANNjgE61fIzcToOMrXe8Qwy2TIYxEmxvBOPml0SkCLWxnMmLJYXkV56V8YsxxJ1InzHc7htUIYwqJioUxPoGGnrcRRCxLlz9VmmEDo1QSoZmuW1n4aSOp1lZWH0gzcpmrG2W9HKijo9saSzBKmqeNuC0WNI7Y/ybhPAz7JA/93M+1/i+qU2I3WVZoq+Cl2nho2TKgtjglnJ9E+BobDuN+HG1ET+ZIKEbfkRYZ+DOoyLQJmtLFVru2KfHx30rmTUw909h4kixNn9LQueWOnVrIapFHnvPyC9/ICy9+D3//syOv7O+zN59x6+CQJ7mymXUsmEHZ0FVhQU+fB2Zp5P7ugt2uskiZfR3ps6Gzk/e+H1Lm4mbForeobne3p6aeT71xyje85xbPzm8YyPTLkUWXDbmfvJ973/0BTi8e8Yu/9F/wxS/+PDJsAlEgbvCizsD43HhSc1oRUjdwakFmUyK1xLej6UisSySNHSG2ilUNrjpTNlhiP7rkJXPaUiPdWj3KcoPkBp1q66BVTkbuwsOkSEzGYSOR3wrEKW6ARY3nDZ5Y61Y3QAgUQgDThHeSVMt5gdGsUZBq4EVawVYIAaPfu+2X2pLCbQ+7URcmg5pjfbVVqUhW75xowNH2HWyf4qOqDWD0LhON9sQAUmwfSTiVt7neIYYbqpiqIHmOWlJqRe1dGBHnVK2QxHnCZJg6FBUJO2G75Nz4L0TostD1iXHwiXXtqa2bLUSJEPpnCdTnRQGdeAN2551RM9wpa+OwYqOJoxeyo0Jvf2oZe5vwYW0JP3GtqVXRBSXiCDskTDhBTgstJpTvn2/P4Bn3qfbeqAgJlyIezkFLF8rUbsA/zs+ZtGKbJGKFFpI82eef49Vjxh3jhiOsgbQFKySnX+3eIj8QQe10uTMm7ttCS+uClxrfat8TPKk7udiUValS2iEWiJIkc+vOB/jwh3+Y2eJl/sEnHvHKnV1KhaIdtz/yXXzx53+SVZdJaYEuC/MkbFAkZXa7xNFc6EVgsyH1ic1YuD3b4+6HvgktyuObgbPrNS/dmjHrEu+5PeNLT254771DdndnrDYDaZ65Wg6sa2ZnFBY5s793l9/8vf8Gzz78vfy9n/x/sjx9SGzbQmlUV9A8uVmZScppG6hStbCdrxMVrCVNoAX75M7VLlHoIlujH7ZQEOeDI3p05C4+xtXyBl2YmHhjg48GQiiCiuslwolkBxUAUraMYnLNeny/rwe1vzt2ph0x6FGIVjvlPbszMHkpKF1TyOBIW3zfJCzCUQdTYVAtqpm4cgMgTjLpZE7DHkRVa+xV0eR7VihjaYi7hYDx51ZPFhSTsLZtYJTO213p7X/9X+XlA9uyeBKgD5gWT5zXaJctSAXUEzjkbA39XWqXvHa9jMrqYoMO9s4kRpumKO92o2hdy6ofyKD+GlvsrZAlif8PrwuwXttZkp1wkTw88t/lZCd5xFFkySe2E++74ogjpwkl4a/JKdP5QRHxv+gHkVL2drHeQ0QyOdrHptjYoXM1xB8Jukig2P4ypJwcIYW23LTg9tnR35iqLqfSFspqxIxEPxXXK1dL7GzqwFgGxloYSmEYC+Pgf46VUqpJqKpSx4qWShlHyjjYoaqlmLIgmivh7sApIiSR89SsqelgRehme3z4I/8S3/odf4iaX+TipvLosnD7YMb1MLIaC+/77h/m8M49dnur4O27jnmfOdzpWSRlpxN2+o66GZr+edELx+9/lb0X3s/FZuRqMO75wekNCSF3wnvu7vGZB2ferbCw3gxoNmS5XA+sSmUclMtloVu8xG/+3n+L+dFt419Tb+cUuvIjZ++TgwEPtaqyILINLUt+7tklb7VHkNgxLh4N2iPmOsJ/95yKfUdQcAE+AyGnnEk50eWOLnfk3JFzT+56cpr5z8Qzj8lzD3EGpLPlTkuo1laQo2oOqAQ9JFNGyUyBo1MxOtFqJ3xPUelU6WJzRzTqL0h5aqzW1o9srfmUzZD7vpJIlnoRVIxZgD1re6EUiajFEpI1CWkhMIMaCRmKF9XZ09gBz8EkGJcuCjraWJSvleRkcJqBXMXbpxp7kRtPFOGJ8cC2ypr6Vwyhka1k2aJ8aR64HXHmidC4YtEG4iARvt2QontodOJXIUIgT9e0RW2f33kJdfDfpi+dntUyyIGYjSqJ6kx1VBA9HuLeTGEQyMku1RgVx9ORnKy4ogWsrLd6lBJco32tnbDuIaWrEWwBOs8pE7cXSaxEJk7mJhna9wOpWthpRzRBhyN19XSzhCHxzD3BBTLlKTB6KZK1rbIV/51z+RISSqfODH0npCaKKPtH9/i2b/29zBYvc36tdJ1yenPN8W5HqpWxCg+Xla+/c48P/Obfw/jX/yOEkXFUxmEkyUgv6kddeeIrw7wXFrs7fPD3/jfI3YzPP16hacOdW7t88o0z7i9Hlmu4tQun18L5zcB8nlkOhfkMdFQ2FGb9iPSZi5uBLmX2Znf42Ed/Dx//+H9CGdYe3aVGE8aacJYIUNcJ+9p1OSQE1MHbxE6GGSDnbI7O6Qk0IkVfFDGX6sZ7q85B/bXixk5VadxEjqS/RZJFS0PeKTW8HB9lhIsfhmEHCgc/bxGb9ez21SfF+y95KX4MCGoGua1Hu5cupXavkWxEPeZQW4fZx6XWqRVsOIYakYhMiqVYh7Z3tBUdRfI2cmmoUktIR80ZJXXj7Mq26qg6OfKxboxmHNoBMm9zvSMMdzMiOaGanVWdjKc4Wq0SC4mJNrFXMCqGTDH3F2DEkgwTt9W40jgZ2EMupWx1MovOd0LR2DUR3ocRDePmA83UxiaMXeehn4ahxNB6jWpHvC2tboWoAkRPA6cgTBJpndkqsRlTgAcaNaHWg9schFMFzsdlMqVEtzWne8Q2eBXa+XzbSVcNgjCe3H8n4EkioxLUHRrxct2mtGwxWxsCo0pMO+tIx8PRaHRkipvcUhBt4HyENHTjsXkdQdYSmwskZV599Xv4+ld/C+vScb1WkEJOifPLNXcOZ1QyXS48vFzx9Xd2+PDv/AN84ad/gsMHn2QcElcbJRXYyXYMntQNXSocLhbcPlrw0T/0R7n/6m9iOcAblysSiVu7HS+fHPCJxxd84N4+Ty4LL57MeHR+wwdfOGCDsBqVrJUiidXGOgRuhsLo3MGdW9/ABz/4fXzyEz/uiFeCZnWjJbY6kyPSlFvkE2vT+xC6EXFaKSJVdY20j1PsoGiAhe+rOlZfr+EEtKl5Jl0HLQKCiN50kirqZKTDYKrQpHC2jyenPNVTBE9gOSKPUw00JCFVIeohwpTOUqZQGcYNLrJpq6aGk/eBzGnimlFaTYDWSspWfxH5IdvP1vxJCYrIximJ9xlx2mPUapRkgc2mtJvQSM5KLFl3SMmjVwnu3wqv2hmib3O9Iww3eNN5NzxJcEokWzVR9KYQ8T4AbrixBWHayUx1tae1z3QP6cZE/bgvdZTZinA0KBhrSIVE8mHL+2OLPpKX4Q27dgfbCQ+xdszuYZp7EDEjGiY6YGZsyi0UFZHEdPacIEkt7KretKY6pSKCiB391jh7IgTFTzaxe84pdLXaNkGl0rnTxBG1OUnrHw54chUgBTFpP1OLD1o/lTTNSeThxccsKt3spW6sCS5dn0eFsXd1mp+YinDWcYBtIKOUE5oSe4f3+JaP/g5u3/4mlsPAWE0pMOsyT69W9LOO/d0ZOSXmfWXp/PQLR3f4zv/u/5h/8L/7n3Kvv2DRwXoz0M1ndhCwJkq/4PaLL/Fdf+i/xyvf9cNoTvzKw0vGcYScyKKc7HecLa3F77PlwIvsIN3I2fVA13WcXy052puzHkd66Xh0esHOTs8sVapmSt3wgQ/+AA8ffprzp58DSkOH0SbYwhpnwiMJ77bMIhclq6FxbcbDB9/X3TCMSPKeGOrGVqZ5aCfq+OeEkY1Ed3DFUYnYJJ5MogD7fXW1RCDXjGSaDLG1fwjEqfZMFiWr99C395H8FrNHY8Y52sG7OvXyDvxQW5WvtnyH5QC09Y0JwKRqhX7R6EtE6HytAoyqjKW012pVStvfzSJTwjG57jtAm7htqTEvGCCLpPLg4vIsYg3rJsTyptc7w3C7obYFWBnFjKLEgxCyIDXjoIY6aiQJrSDeu45pq9LqtsJMGqKQ6UuxSWwTKBMfaGSIh3SxIGXy4KT0XFVULPh2vqNEDxL7thqT3L5+MsqWYHXc4lrS6bVh/Kxyz+1u2HwSk0GMk2xs44UDBDzqMPlcoJ/SZI5g+yVJ8JlN/dtQSRsxSbaZPBHTEEsMmv9h2nl3El8WhYuInYjjxQmKsVqJrblxqZQQIepktAFPVgmixVB77vnot/52PviB72EYZ1ytC6Oj2VKF9WZgHJWdufHXtpF6xgKffrzk9vvm3H/1W/ie/9Gf4At/8//Bzqd+nuvrK2aLBcwyOyfv4d7Hvp9Xf/j3snNyj1me848eXfL5ixsySleUguVB7u7PePBsyUt3D/jlNy752Hv3eePpinv7iav1wKzvELFDY59crzgEDhedndjeJVQy3/xN/zL/8Kf+79TiSUdHvaEwCgMCtANCfDoMtBSPqPxQB2zJOrL0fAU0+R0pysHdrUuiaG1FInHSkoFpcWAyTawGQPBIzq07EW+qeL4k5rAlAB3JejSgqGfOqx3ETVBDPgZqRlSQVo4ZPfOr1inZqi4K9GrSWtUPKMAdiVevKkyH/4YzCeNc6JyGidcYytbJyYD35Jkihxgvsxl2P0Wj1z3NaOO0j0j4FCuX52tHx20PXT2vkiEsCVXUjfjU9zZQXXjqMLNm7OynOWQO7nUJg9oMgXlXO/Xdb8OpAtzjJuIMc0O309mMwlTdGAsximR04hnVNlURM3K932u2leSKEnF0P7UtbSF/WwzSQq3A9iF/nNQjtJ8rLs9qjHZ4eu897LJBIxmnUK31DGghuY+udehC22aUyWFhqD7uPaReVg0XaMOVJ2FwHJHHwIfjbNHNFm2yzSvas7RjIUCNy5z3x3zv9/6rHJx8A+sNbGphqAObQVgPhdGTPSKwN5+R0kTLdqJc18LPv3bOd73nhPd86FvYf+GDnH3mV7h++nn2ju6we+dlDl94mYPjQ6gwIvz065d8+nRpBxibtMbmOMHeTLjoN8gwkBKcXRZO9hKnyyWCcrVcc7gzoxah6ztOr5Yk2WURZ02Lsrf/Evdf+hbeeP3nkOgyhxmn6kvbzvR0FOrGLOUJcAS9IKjratUNuDSZaHC32qZjim7j1CLVaMWmULQVo7G93rdUVbZM0tQLJWZcowmTzaZVFzo/7cnI6gqRqJiUWpu8MFRZcWB0qxRV/1311eE2XaslK0NdZj1ZbL9kCcptMtrVXxtJ8AkoiAfJ0ox1OMOo+8BR+OSv1E6Nj7docODTGCek1SUYwLGxrW4T3u76ioZbRP4D4PcAj1T1m/1nJ8BfAN4PfA7411X11H/3PwH+CGbz/m1V/dtf6TtiI1atZDwkcnTb+UQ3maCYtC08cavcC4zcJkm2UOnEypl389AOM87R10RDoaK+5CUMmEDqGsIN5B2zFx4+R1Wn4HwkjctVrzgEPIky8cWtHBu/Z5nCtTDclnorbVyShPPCaJSqTt3QWm02J6VQu2mBJdcYWhHMFJVMJ4Vnd17anjcMrqh6yfA07sERtkx46LNDTpWt53FNxZMx0ZfGFu/UvsWRoyh2QgN+ZBrPJZNNymUyP5XK+7/uezg4eZWbjTLWylCVzSgMpZjkr1qHvL4zpYBRCH6rnrR9uhr4e194xjfe3+fu3RMWe9/BavlNpNSxu9ezv9jhZqh8/tmKTz1dcj2MZjeSoEUhd4wUFpLZX3Tcqbu8fnrDK3f3+PkvXPLbP3yHdV0ybirXg7LTj+Q8p9PCmBPX6w3Se2sESVzXwsuvfA9PnvwqDBu0+HFWKbm007kkpxKSWP9vVciO3nDDICpOhW3tNtluG+BjuSX982CIOH80WiSkHIYdglu3NYijWJkiAY/4gxJBXBGjk7YZ9V7ZAQZUTXPtxi3OYIwT3FtkzpQsjxJ1A1vhFhRSJm85fakjXepaZI5/duucGbQbcT+4pnr6XYk+OT6OVaYj0cK2mBP03JzGeNv6LY7AO7GDO4IyNCWY+vrG9fJvff16EPd/CPyfgT+79bM/DvyYqv5JEfnj/u8/JiLfBPybwEeAl4D/XES+QS3OectLUFKqzNhq9+n9QLJzTyVUHrgKwrPQMBlq8d+L4J9hg1XDw4ltejPKOC/nWWc3QMmRf3UvHsdN1RDIukGPkt1IAEXIH6ZWYdISazG+zie8yf+YkqH2dI6QNYoNvDmVI82JH7ddZScBmeG2VOdoVIZ25CZDCrNv4xC9q4uIa7B94Sgui2LajOIhnEw/S2oSSfWooZX2B9ER8yAudWSq+AySUjAnU3Wrb0kMr9JCdNtZtW0c/P6t+hQ0C7Od2xzf+yhX6zVD6RjLwGawcuWxVoZSWyOtIjCOURlnn1+qUstIUeHRZsWjyzXz3HF/t6efzRCUm/OB06trzjcDVZR5nyAxHVeV7J47d9BPXnvEnffc43I18vD1U+abFT/+q8pv+cg93nh6jQjcrGFTVqYX0xEtlVE6ll71Jz3MZyccHX+A08e/hDRjoY7gQLyIIzRF9lAuTFPa66y4yT1V9l3iVXpNGQKkLM0pNtmlo2bq9LPAgmGkLWkXiiNtq3W7F3mTx7phdtPKc7mhWD+C9dlWL/YRN3BiHj5pIFTfAzmZOgYztGCG0VeQAwqxZKw9jAOBicazLoyZOERYhekoQqFZH0K+24C3kJxyNJmsfW6GdgaAuM0p3mvJ3huEvboDjIjFHF3+Cq1dv6LhVtX/r4i8/8t+/PuA3+p//zPAjwN/zH/+51V1DXxWRD6Fnfz+X77dd4j7uVicEt4WTA3SvJYbAEcCgSZ9KnwRxieEIdGGMoM2aKelEKXb9p7ghVuyhAm5tH7ckhAvYxfXfIZ5LM04Y3k8XzB2jxWt2aBJVqdhfFFjGlTEkn5ZtyZNgkOP+/Is9xaFMGXvjQvHFF6NT5dwOFhIWpzOMMdgiye4/fDzz48HkwOp0ugkldxkVoigSaaoov3XY0VRU9kYfHalizQv10JDdxZx7w3c+UCpWr8VUaBUju98jMtVRhlZ15FxLGxKNR7SuUZJVhRRSiEaD1UVhlJZjxbS2sPbbK9K5Xy9hJIYqaROgErOmT5F5OHouCFbm53l9Q1/6U//H/jwt3w7X3jwkLPa84O/5/fyS2dXfPDxPif7My5XK5IIQxXGak4m9ZnVqHQyohs7e3HMG156z3fw9OmnSAy2rtWSdrEZLC8UbmhCe7R1oWyfVWpzGWvaf+b3npRGodDoK5uE4hOhgFeKMW7x2pYrNieZvb+O2Vxp80j7DG1RQhRWRRgbVAtOQWRCgosrjux3HVtAycEESmuvk/23hVhA6jggEvAOkHJmUCFni0yiHzeCJW/9fdNR19oWY6EayIAW4Zu9mZK7kaAXkufrzCFVoDgVpE02aVZLq/q5nG99/bNy3PdV9Q0bQ31DRO75z18GfnLrdV/yn/36Ll8pHpQZx+0HAbRz7QSigUtLCDh6VoRQiRkSwQ0M00IXS4w1oy3hAMxKxSRMCABCeheIXCMMcnRgL5ucArhX9kNdxRdldHkT8R7L05u3LO2U6bYQ1v4UHF07jxSGLE51tw0RZ+aF5/bh0dg+OO9moWjBkrviBmv0+q0gkQRcl2uqgIqdZRibThxVNcfiVr711fabUL+HNi5MoXvwrGgoUSAnba+dVBGB81wFlDI57zI//BAPLm/Y32QzgkOduFtPyOZUKMkM3FiU1TiwHkZH4kLOmZQnNXyHKQYQr0ys7vi10vcZJFsdgddzDGOl70xGNpbMN//wD1JG4Xu+53vZ3zvmk4+XfMd7DvixTzzlD377fSiZvZ3Es5uRopVaLCFfRBhrQmagpSLzxE5/h9nsgLI8QxmIhkcqbqQwCq66HpuGmGOsprUpPietEVoY4mb4zTBFbSv+PXGKkLqSCEfhTW9ct/JSAbzebG8H8m0ATRvICkfR8kQh3/O3Fr+7rK4RD0vhzrndj045HalGsXRieaYq2mhMASteU6GrxVvaOt2pHkm54UX9xJqtNsnF6wlSM9B+qruHjlGtGZGui6CmwdCIUb2wL+yaKl1OE3J5i+ufd3Lyzb7t18whgIj8CPAjADt7M5/GabME92MTatlh0tTDOHBqGG1kQuQW0tji6CSh0Rd6cqXttmISo0zVNnsU2YQBjkIPW1TZOWQzs9NkqsT3iCMym0iJ7KdoO1zBm5j61AWiT5Ohaw6A9vnWdUyaWVVRpJqYf7p/vDez31OdNlED8oFYHREldzDRucwL+d05RiLIWg9Ej5AYG3uC6ZQXHDEQzte/MKo1rSLVHqxub+RtByOTQYgDgFOI1tVP/ZHE3vHXMeiMq/XAxfWKpML1WOhE6DprwjTvvH1CKdxsBsZSSF1HEuiS0uf4u3Hf2ZdIUqF0SicWPosqXe7pvRdM3/m8CHQ5t8KYmjLf8QO/g65LXK0KosrJofJLr13w0mHPz37+jFfv77O8gYv1hiTCelSSS+66ZGukSKXr5uzMew7238OTywdUElIHX8IW/djwy7TGpmkg4nkhQIZMqLdFOM+bWaO5aIg3+mYn1bYnknSoO4tSiimAbDMRXw0TcqZRL2pOcKsFcvz8+f44dp9a3WnUABtGe8TZjZFriv+pGqUZBp1wTO3+Y3t6hCTFlECijFuAMWLoeJJogBWHLJtTqX6YsRLdarNA0eTdRkHEzxSoFXLyQxvi8GYvPvLI1zUwRv00juutr39Ww/1QRF50tP0i8Mh//iXgla3XvQd4/c0+QFV/FPhRgOM7e9rOlxTxB7ZwtiUa3bPmtFUpqX60mRhOjPxVnGEn3mNkcgbJueza0K3ZjtB7QhxbtmXjzFiEuxDD8uqhchjUEPlbSBcLySRNZqgc1LsREyzcVsXUMnH/ElV6tsxikbv7cnlRHGgQjsxD/UDsagcVWDo3DlpOzfGE95fmfKRFLIlIvrhzc1gmYkg6xjMeKP4v2aGEqFhP4oQgyXs/V9Ct/hgJkDI1hwqaZtLNO7EoFmWo8+iizp2LhbNy8AFuNrDZDNyslTnKo6uVPU9S+jwjJ9hU5WpUDmaZO/szhjLSJ2ExnzGbJboUa8krQMWM+Cwl78XcWbTRuTtyVUXwnJ0om1pZ9JlZrqxHmPew6BK1wIt7Pb9cC8uN8PrTG77u7h5LXfHG6ZJbBwuulyM5C1orO31iluZIrgxjZb0p3H/5Yzx+8I+hjiZH04o1oveKd6dCspeAh0KpIeBYF0KbY/VoB3U+3LFvGLaWzg9KI/I1sTISRFdNbca5MlZDp/bz2hxAIPEw4jApjiLRuK3ptvvSSfcskcdyWlQsAoz4GsVyPYoBhuQ0X62UOtKauIo0WW2pvp+z53vMIrhDCKtvlbMRwYbKrGVvoZ1QJAhSijslpyXNILnqx/brKKUlXY2ntzVnK99O5mGbLn2T65/VcP9V4A8Df9L//CtbP/9zIvKnsOTkq8A//EofZsbPJtsaInXkZMU3WrRloC1i2+Jz8V6+YG0iiZDDjLb4AgoKJIoEssuCahbTAPviFsSSMIFe8a53kQRyakQwYxKoofjiNLYjtc/D7zdmvfU/1Jh3U8gYggrR/bR5YilFLBaLKV5VHXm0e/eEk73DsUe8T5TcGS0wDMVbb7rDS36GZWwcAS9/82/yewiornEsmxe6+3gawNKmSZ3GJsbEDEScNel424fHaadIDEdVXENx2eN2a+ifUk9hl/VmZLOxficDynK15rpW5gikNUMV1iQ+fO+IF48WvHZ2Q98Jt28dsJstTC2VVjqOO2HTPJuTGWqhy8nb5yrbp9K3oqFxMl5aoRbTxBcZ2Oky3/2+E/7+rz7iCOGzXzrlm95zzGvna/bmPevV2kLs3FNKZW8xI3eZdanMi3K8/yLHhy9yffWGG0PvhFfdSGAa56pqGm2SAxozerWaYcxODY7R86WN7QRd1ddYdY41ol6g0YChHtK2Tt1Q161unoCKHdIhYthK69S6WImWFWYs22EEGgDKkGutBs5SU2i4jVBfG752avtOa5thIAFCBJBESHWiMWJNRjFNlnAcNj7bxTl162SehBLHnrU9FL+WcIq2R8IplvZsyuinCCHRhkNbbUr1kUDxhOdbX78eOeB/AvxW4I6IfAn4X2AG+y+KyB8BvgD8QWzT/qKI/EXgl4AR+O9/JUVJ+57gjBA3IjSyX/ky3lQmaiF7VqJ1SZOgXFpaxI1RguCDnZ/WagskN/c83U8rJPDPiFBOPPSRttC1IRS2wtV2NqOIIf8aeWlt3jU0ycF1hUQx0H3cj/FvlWkuXUbXKCKZkM3Wv23TueBRJucyybkgKuPCyQjWWN4+Y0oMk7xAIAywWEViaAU15IUGicxgOGKO3ssAVFMJuXfyY7LCUDrDmsX6OKRM6npm8zm7iwMOdm5xeHjE0f4d5vMT/t7nrKBl8FL+s+s1lEKnyqraIRUF5Xvee5t7JzO++GQgdx0fvL9nzZt8EEqN5v5Bwim9I8xBp9LnKTaPLT2tFUs2QpcyG6lstLLfZYZRuBlG7h3P+bb3H/N3Pv5pvviaMk/Kzc3IzVi43my4GQrKwO3DXYZq5faKMmplNSjf+R2/m3H5OueXZ5xePuXy6ozlzRWrYclYNy6zBK3WoElKwVQnkbWrfvhFIOTYd+JRZCDuCWgET94O5nWhgPgzh+GuGl36XNnRgExtrxFC8hoOe/qPOBUVoCUj7Xi6aIUQBzhMnPY0/m4mWpQQ9xbHn6V4Bo8ea1AVwdVXpYi2iELUwNvodQi1PY+2NRP3EDu+Ek5S/XloNSdC1HJM0aQgLawPm2C5sOyS29+g4VbVP/QWv/ptb/H6PwH8ia/0uc+9B08MYMbM+kl76iLFZMJEYoeRdJlfCkQQrwGVaKr05d9EU5R03ghJUyzg9vZmzOyZpjMCa6UlPe2WfLlLqwaPcaCVdXtvCFNk+OJINKpCHU1EIjIuce9b3cAmouzZT7JJ5goaL8nzKChO88h+P8NoqLLUQMd2Izl4QZ7vJOdNUaZN5k6zftn4QCLOwQzZlqSt+XBjEIlOo07sRBWRRJd6+n7OfL7L3v4Rh3t3ONo/4dbBLQ72j9nbO2QxmzOf9eQ8R0T5/MMrzm9eYzl6v3NVPvHkisNU2N2Zcz1UUk7szTProXB6WXi2Gvjg3X2yBp1QKRX63LXoBXUOVoNaqOz02boDUq0BlY9jTo6MxOZosxnZ6Yz/vFkp9FZBm3vh8emSl48W9PszHn76CX/9p36Fnf3bvPfODqUq58uBeddTgbFUcoJOOspQ2XQju7sv8OFv+DpqUTZlYLVZsby54fz6gsurZ5ydP+Xi6innV09YLq+4Wd1QygCqhjiTNWCtUcGHTsYx1qivnUChwVmb5t91UG44GyzSoBC3wAKu1PG9EQaxGVWZlpNFopCqyXC3FWS2PMWBQDHaRC07VKD1PMnJqnmr98Bpe8eWplGDzdBKiwSRaKksrvIoU3RpG4lGBurk2qLacwpUkt0f1rRLq/cgimfeauncZSHwjoHHaWxqbDH1BfU21zukchIzCG5oHDA39ChiPF60FrW2qa5ycKSEJ0wan7aFIhr3Cw1NWO7NtdFV0EyMmk2oJxFVsc5mqh6Q2hUn9QRGG1VBqnv44OWj2byVq5sz8RjAy9vcdvrEaUO+VvgyhWhosqOjokhJ1E7UIaEUW+BudCLJCCBaGdTKdwI9jC2CMHRj1MbUOlPcIVZXvnSBqoOHTBYXobrlMBw5b3PTuI+1D6VLHX0/Z7HYZ3fngMODO9w6vMPJ0R0O947Z2dtjd7HLvOvp8oyQHdaqjMPAzdWas8snPD294BOPl9xsRgYVdroZm3XhfF25lJFv2NtBgXUZ2U8dNwXGYeBgntntE3F0nKpl8APdWE/z2nIVqsJewo41qxUdrdw6DE7s3KnwQxlqoSicXi6ZHe7ymdMzfuELF7x0MOMTD0+5c7DDl9bXvHZd2dt0fFu5x97+nPlQ6ZMrYxTyWKgpMdREV+DZ1cD55cjuIrGYLdibL+DgFi/Ly9YGtAxshoHles16veTi+oyL6zNOz59weXXKxfUFVzdnbDZLNpslWpSS8Ha+yWVpUwEb4FWK1gEopHgKfiJMBPaWrLVmYVvrlRhTs5zhxO0QDxu7YKgrLtlUq5oc2WryBpC99UWtrThHoNEuyfd40s6NaqGdox6RAaYqsdPl7VlCNikuT1WJGoLtDJd4PiMMtufHVAKZgFY6P+owZaESbYinKBfUqDZJxEn0lnxN7tzw3ioQJ8+/3fWOMNyCDWKXkmkbHbmlMNwwWXIAZYsfM+JgcPJf1AbI+onY4DbZXoRmmGEpjjEz2Vou5gYhbXGIedPk7t8Kd1qwNH1u3E/VUOoHrG+yv1goZmpNnF9qbceyxdMU9UXsek/AypodCVlTONN9Wu+R2jSpIlDqVF2ZxU8EQl3y5/+WSNBMY1sjlNMth6cWbVRNLZSLx4yWABGemurDGvknScxnc/YW+xwd3OZo7zZHR7c5PrzDwf4R+7sHzOe79P2MLntHRyplrGwG5ex8xdnZM548u+L1p+c8PLvi0bNLzs+vuFltWI6FtL/HnQ9+HTn3jKMV2oxSuLkq6HFhWZSZCo8vC3cORpbrjsOdDkQoRcmZqfxaLOltpsaSzrVWUoW+NzVArdX4yTrp7S1ZnAmTlrHdn1Kl7zK/8MYpH37hmP2dnr/7q894/+1DfuGzb0AHw+deo74yY6jKXt/T94PnZBLDWEAqfd+xroV5zVxsRn78Fz7DFz75JV68fci920e8cPuA4/0ddnbmdLNM1/Uc781Jh0e8dO8FFKGUwmYcWQ8bblbXXFxfcH19xtXFOU+vnnB1dc5yecbN8prNZknREbboEOPLDSTVcHAS+REhAjSltL0WhnVqv7u92SexQVTlRjMso5y8s2FY0sC50VBKU0uut7LxkCuoFdzSUHJIJO1Wa7X9XsPnBtgJeB8abp2i7gZ+xdRWgkW76s7ddyqhWBOMHSgE0rf3afYbJKIUi0rxA0pElT6inZxbQdFbXe8Iww1mhOxPodbUOmdF+BbhujgaNuVEJChb623vHigNwbdmOhq2342nGg1jJdf2GdZdLbxwoP2A/m54I/yT5uuJasCJL/Sn8vsW19sG1Sv+XS1UUxrSV6pRI3VKDaTgyB3CRj+WsRZzDFUQsmHqCN8EZGZUUB6KK2xCoWKd7KrfnHi5fPVEUrSTFR/d4qeU2IEOvsirIv2MWdezs7PPwf4tTg7ucOvoNof7Jxzun3Cwd8jOYodZ19tBAAAK41hZrVecnl9ydnbDg9MrHjw95+npBY9PL3l6dcPlckMZYVUGQOld3mlTq/R1xn7O1JxZjoXlZmQGfOZqyZPrBZC5Xo+874U5KSeWm8Lx7R1TFSRphrqBgri5ZoyEPgXH6bQTE+IUd3a1Fjtkw9feWk1FczjvqAcLPvXkivcczviD3/4i/+i1Uz706nv4x0OhfPyn2H//+zkfRm5pRycWvieMc+9yYihKN0IpsBwqu4s9fuqTn6f+8kCWxE6XOVjMWewuODna58VbB7xwcszdkwOOj3bZ39thsZOZzzp2Zwec7B9S77wAGB87lIFhHC2he3PF5fUZ55dnnF8+4eziKRcXT1luriiDvQ4KKSlmhVwmWd3pabKkbItEpI1TQzfKFNd53mArACYOig5tyVamPSyy7XHJHjEFo+CRrapXU8c8JrSO1pumqUDs2L9oRBfRZduvQZE5CDPlnxmPuJ3o6z+JDSwK7jEue0hK9ZL2mSQkZ0a8u6BLG8VaJCLRw1wU61lvkWz+WkHchnQmAbuIHYtkCQnxE11sgEMOZL0WvBN22locbYJ8ElKUVgcytbAnR/bdpXKtZzFCZbS5d8mhZczjeLGpy1k4BGmKvOC8w9P7IbAe/rV2p2hDMdGPJZKVtXrjdXdUELrQ5ONlnHbK1hVRDBo/xz2CUDbFZFwVqh0ebqghFBtioWzIK+3TPaxNCsWbbuWOrptzuLvP0e4x+we3uXVwh6PjOxzv32J/55DdnV1mfU+XO7u/agt1tdzw6NkVZxeXPHx6waMnlzx4esmTi0vOrm+4Wa0Zxsrg5fPJq8xKcJ+pmqFVRZPLHKUiWkGNC85ZWNVCJbFab/jEsyvee3TA05uB3fMNLx1UDnc6dmb+XpFJQ9sAmTutMDwYIhu9Eb5FSIWhxgETTt9pRF/2KR3KBihJmM063r/bc7UcOHt0zd1+xmJv5OtfucVrd++xd7DDajVuNcIyMFAqjKJ2MlAS1uNAns3Y3dvjW7/xffzCL3yalIzrfny5Ri8v+eLDJ/y8z3yfMzuzzPHePrcP9rhzcsidk0Punexz+3iPo4M95osZi9mMxWLBwe4BnNzxNVQZSmEcR5arJdfLJRdXZ5xdPuPs4jFnl4+5unrG8uaG9XrFyECpY+toia+hbalgawvrwGVimdxER3m301CxhivVNNHVMLQHNE0SW2vw1skTf2Fg3RgqPp5KaqDITG7cgyrtMIdY+9tV2+hW3YY7+FQVvJVsKLkKxes/nCLRoIGAMjJWk8bm6nZAqxUCiss7PSEZeYg6DeabXu8Iw41YYxxQL9AQ0+6qe8YYIMQbyNubapragVYwbsyP+Wp8r7/f3uJ8HsEF20KICaIZTxcXRfZXZSoyaAbbp0WM32scXhT3+MAbPWyfPSVpHDmSSDlqq7BqORz1+3hEIsRkjV7NqNISpKrVJXcOXdSbQjkqED85OA6IzUwZfOMNTXWNQMozctezs9jjaP+Y44PbHB3d4fjQDfTeEXvzhVEcqfOFr5RxZLUaeHp6wdnFDQ+eXPHak3MePbvk4bNzLq9XrDYbhmH0CjhXAUWCGfUzMF2dU6FPwkily9nPInWOUpWRRCazGiuHux1jHeyAAu/Zcrnc8Iaecz4IO1fKbrpN6rMdC2VnXHnYvRWdtOgq5shDZRKjwWxQKKVSsMQhBEiItSNQ7YgsHQf6nHl2ueTR5ZKrdaWTyjiO3FxvGGTkC7/8jzh57z2u1j1Dsf7PVixUkS5TtDBqx1DF14bw6gde4ed+4VPmMNRWviv/KF6wUmrhYrnhfLnic4+eoJ+olKR0ObPbzzjYmXN8eMALtw954fYR928dcOfkkIO9HXZ3e2bzjp3ZnL3FgjvHt4CXqVoZS2EYRlbrFderK84vTzm9eMrTsydcXp1xeXXG9fKCzWaN1g1lHIgwRcNMB3/gIV3kC6KWKHlCZCp9n+a97SmdqJrgnysG0mwvKjWrH7ri/UfUptBEAN4dRaTx6xOq9gg79nZL2HsuqO0dozJr0KA5ewI0OWiz9TJGb5Lq9yc4sHPlXNVJx60T5dMQxVtc7wjDbYn52nKDSMHKWv3UZ0fFoRHtxOoPInNd3esmNYlfTdPmawjUjaE6sjZ0beFMVWthlXAuF08aOFo3vUWELm4QnWqxtZWaZrRKbdxyHYuj/kiIaOPcUuqmXKhvfqNw4ls8hHMZnyUzytQDPDaEL7SCFx558kQxHi47kjRAaMg+5475bJe9nQP29084PrrL8eEJJ85B7+4csJjtMp93pNQZcipKGQfW65Hz80uenV3x5NkNrz85442nZzw6u+bZ1Q3r1RIthi6mUvxG5flyFIZamzPGx86l06b2kGn+WviNuzi3vblL7cirsViTpy4lrpdrljc39OPI03LAl04vuC8HDIsZ9BaZ9NURmNi6CtUQYcBVoUxcbfLCpeQ6883oLUvFNMB1a43JaM8/2vEo3Nmb8/KRsNqMXK1Geq3snZxw+ql/xPl69J7hlZ15Zzxs58dplYT0dlhzJzMuVwO52yHNZqTNEnWKL/IqKtXXsaCaGQG0oFqoRVmPI+Nm4OrmmjeenvPLn0uQTF216BN78znH+/vcv3XE/TvH3L+9z8nxHkeHe+zvLpgvOhazObuLHU6OT3jlhVda9eQ4jqyHNTerGy6uLjg7f8bZxRPOLp5wfvmMm+sLrlfXjGVA6+BSUhqvbemciKghmo5sc9VC7Ddpe7WBrQBFMtEZEQXZ4FSCzgxgh6pF9SLuKNUiLN9LIRdsH5PEi8DcmOdQxPgerRXxxnEphVartig/tYSuUjSEDwBd62CpOJD8WjDcCoxeam5FI34kWLK+EBoDL1t9eWtBU2JUUzJkpixxyPJq49j8iySSlObxrN9wZMjtPS3pGcZUKznlLXWO0y9qiarqcqOshqDV0X9JU8GNhVNTbGaFRb5wvUrSJjZbif5WyAYQBQNW3OGd1GJckvVjEP8Ooz8sZyC5Y6dbsL97zO7uEcfH97h9eJuTo3sc7p+wu7fP7mKHWT8jDgsuRQ1VLdecP7vh2dklD59d8/DJBV96fMaTiyueXd5wMwzUUix6wftxO+KZsuTihTqKVmvMr46yzXF5x0YD2UR/8lFDPSNtfagaSrdSeGXR9SxmPXMxOmNQYV1Bu8zm/Io0m7F87QFXT075+f0Zv2lnzq2jAUrPTDNjikIaJWlqiibLF3lxRSA/hLGarjelRC2F9TA0I5kDtvsaNO7VjMmiz9ZjuhSyJA76nusuI0kpOmO5rtwMI7XCbt/RZ1ModXT02Q6fzqljOVRuinJnZ8HubM5yGFG13uCd0wgC3sgoUOMk8Qv6LlLPds/eHLYoV+PI5WrDg/NLfumLX3IFlx0GfLAz53hvl3snB9y/fYsX7hxx+3iP48M99nbnLOYd/axnMd/h+OCYl+6+aH6vVMY6st6sWK2XXN0YSn929pjzi1POLp9ycXnKerNk3NxQaqHU4ty479PqyBQ7BEGZqMrpaDFTcygeduDSYkfzJvezLoKCkjplHFwOifPrag2lWk0EkfQMijOS147Umxp2yn00KjZ6HiVXKFX1A8OjngMoxeW8TqVKQpOreuR5ZdibXe8Iww2BjI3+MBOWWiPyRPX2It6NDEdBWPjS0DEupfPXsGUUQ5pTtbZqSdXRDadMiC8kOW7cbWGEfsLv1WkOAkFvZ6Yx+iL5tNeAmmzpwlHwuqRm0AHEOtCpiPNe4altQdgJ7pbEjWfKuafPPd1sxnyxx8HeCbcO73D76B4nh3c4PrIk4Xy+x6zv2yG+WpVxM7C8Hnl6fcqzs0uePL3iwdMLXnt8xpPzS55dLVmvViZxC/15S5rYgh41udrEBWJRpJFA1Kr2EMjetnd0lGXJwVAO2VDGoc7VqYvcIiQnVMQ6J44K3c4OfdeRJLEZYTNW6mhRRtmM1K5DiyCf+GVOD2f0H3kvwxrqOFJmlpzssrX/3GhFqhd+eBRV1DT7lTDkhXFUVAyVlaKmZFLog02T1Gjz2ORjtTJwMx7KukJBuHVyhyd5h+VmYLke2e3npJQYysh+1zHvhNwncuqsMnQGR33m9Cf+M9L5EzTNqMWctvqaMoNhXehq8rbEqUM1MdTanOHU09qphTSSvcagkui7WVg9Shk4vyk8u7jik68/JKjjRddxMJ9zeLDDnYN9Xrh9xJ2TPe7dPubOrUP29ubs7MyYzXr2dw852D/k3p0X7LCDWhjKyDBsuFktuVnecHF1xunlE56dPeLs7Bmr1RXXq2uWyyvquDFlU2ieFVorWBG6JC6VNSmh1krcaJM2KpRifInJPiflVCjQrP2z2OEYWBIxDp1QaInF5vSiSYmLJFQDPAZgTAYw/Z6acgbaIsnZ8jmRKo9DunMc9P0W1zvGcFvI6eoO79DVufHbngDAQ1Jt3kkiGgqD7S/JiCsnQhGijoi9J0coj9wYJfFCn5S8OMTGt+DKUIniGw/WRJBqv6stKoDITIQO29Cc2uZAQUzbjSOhKKqpogyBNL1IJIlVjY4Vum5ON5uzM9/jaPcWx0d3ODq6w8nxPW4dnHCwf8TOfIf5bE725km1VIZBWd5sOL064+nZJQ+fnvPFR2c8eHzJ47MLzq+XLDcWvprzF/pAaWrIKyUP75yji0A2U1uPFaOyLHrpiEz+1FOcpPRJWwP/EtSCuEZfLdqKUNcBEyHANGmi/Xy+s2BvZ0YpEuAS1BOrmtD1gAxwWDfsPf48n/yle5QPvcpLJwdcXY8cLGYsakazzXN271F0aslZ1DjKEgUg1SMtzEFoMZqgxJqN6AejsKrW1rmu1so4WgHPLMGdvV0+dfo5uosz1vf32Y/Tb0gscmLR96QKN+OG/cWc8fQZZz/+Z7n18Ge4d/u7OJ2/D9VEqmN7XzO2OpWQZ5fzgTcTa2NpztMOos7e47pYj3F/RsN8bjC1tv7jqso4Fk7HNU8uL/g0jwztJwMXO7MF+7s73D/e54VbB9y5fcC9O0ecHO1zeLDDzmLGfD5jb77H/s4BeksReS9aLTE6DCPLzQ3L1ZLzy1POzp9xeXnK6cUpF9enXF9dsFovKZsNaHmuIjH5monugUmjlsPsiUpHHaKdsyUtjZqJ9qyT0w2qxlg93w+2UzGaTWOQ2vtDIabVciHWhrclyALnuTIm9ld1SrNQpQNPer/d9Y4x3GA8d9pKREYzoal/thkynF+WtmcjW2x+NKfOjyRzZCqT2Tcj1PnxWoY8RM1gV3UVhjq6doJL3GBL62MN4FnliFGZvj9IE/xzrO/A1K8jO2puDgUPs5IZuorQdYl+vmBv95hbR/e4dXyfe7de5Pj4hKP9E/YW+yxmc7psXfComIpjteHJ2SWnZ9c8eHzBaw+f8sVHpzw6u+T8esnNsKGMFaGjF0PSGtHKFo9fsSRP2qJtAhWIOxNvm4F6wYI3kpsWeDL+V9QiiKpYv4agVtQQb+tt4o4uqzRJfDvWyQsXUOs5cftwl91OuBwDDSnLUujUnAxjQTMc7B2wfvhZll+4j3zg/Xzp0SVHRwtKzqy0klXoUzJHijbuNAVVpepOxE+LUdcBO/85KtSxWGTkTZ58ao1uqTCq9W/XolytNnzywTP+8c/+DOXymsePTzl5+UU+cn/GOI7s73b0fWcVnbMMw8CTn/hbHP3cX+Bud06Wjjubh7y2/3WMOlKltyWo0c7VO+mZHTMqRGvrs6Jqao3WY8SL2YamjIEef22rrBTEz16UMtLQKtBn77HuoX3RysXqhvPVNW88eRxxKX3u2Jn17O3MuHW0z92jA+7ePuTeyQG3jw45Otpnd3fOYtGx6GbszHeRQ3jP/fc4hVIp48h6s+ZmecPVzSUXl884v3zG6flTzk+fcHF1zs3qgnFYsRk3XqBm+1GStLYAY1vHcbqTEnU14WiDBomy+XCArabDkbV1YrWEZJMvk32tuipLJrY2Q2t/IRpRfiKptUwenJqLXNhbXe8Mwy3gHVcsASDTgAeSU4+p21FEkhwMGC3RSYj67XWtAhP876nRKq0jSEySCFVt8006y1Y06whT7IyCRm14laEviODSjcZhigbU6ZfG7aYWXQmJlDKzfs7OzgEHB7e4dfQCd47uc3LrBY6PTjjcP2Ix22HWd84Lm9xos9pwfnbN6fmSR0/OeePRKa8/OuW1x2c8vlhyuVpTytAQfZySY2qbAi5HinJ6exgFp5OantX3pPrzJ4lIRCfDIK6BV5NOWXvLKG6KKCO0NWwdHeWO0wcsjHnycd12iHilaiIhnbBYzOlzx1BHNgPcFGU5moyqloqsVvSPTjm+uwOrPV5+4QOsa+VyteRgkbmSzI4Ks5ot0s0ytTzwTTgWdW2yFeDEiUvqBhlMwlWqsinFKJF2tJhag7QKVYpHIMr1asneLHFw/0UuP32b/fmcFw/mPDrfsBkqyzry8q05hx1c/PIv0H38L/C+5Wc4WFRkI2xkw/HyCbu65iLNTSXkx+KNtYIa/9sniwKrqpf4G3q0iDH52Y7G83eqFMTOdg1qQGndNVXFKxsrOXcOSILbdSMfa1u8qVJ1p6BGV4515HpduF6teHB6xj/xiEQQZt2M/b0Fd4/2+MBLt3n1vS/y3hePOTo6ZG9vh9msZ9YpaTan7u5yfHQE+pKt4VoZ3KBf3VxzcXXOxYXx6M/OHnN++ZTrmwtWmxV1MDRvidHS+huJUyUTnYpHXHbvAfCoDgJTFOMkp0xwkcBUbGSMQaIQNSpG5WQL11oVdnU6N9pBgFFaDUO9xfXOMNxYiAU0LXJoZdXpjUj0mRFs/zKUo/Z7Em2QJ/rCwpZQgNQwx8UyviKmcw6uMMIZsEWpRDWgnUrSjLMv10qyclfPWofchzBOKVm70D6z6HZYzPfY2z3i8PAuJ8d3uX3rRW4d3eVw74jdnV0Wsxl97izCKJVhqCxvNjy9OufR6RUPHp/xxUenvP7ogodPz7m8vmEYR+w8ykhGme40DLbFJP50kkxGGZJJQppUSN67O07mCS0q1dtZqvUStqPL1JNzvond6COBng1RtMMa1GWPnpVH46SUuEwOVQDNutWYX1r1WlSOFpTF7g6zrkN1YD0W1sU3UKnIUFn84mf4lo+9h536jMMPfIx0/y4iieth4NHFijtJKHXG3jwjPdRiyqIyFG85oE09UKvxo8HP40Z8rNYEqmB896pUhs1ggKBUKKbFvtGCFmW363h4es7Tp2cMmwH6yrOf+jF+nMT+3RO+/uXb3K8zyuc+yeof/zU+cPnzHM4SeSeRtDAk6MnMhyt2hyuWs45BMnjSNG2BjVjL20nJ1vHOgUYRJu2wJ/4jogh5ruM/ajVTI76+i8ZrfX86wgQ7EKJqpbeFQsKi2OK6+1nXsT/vOd7b5e4tS3i+dOeYu7cPOTraZX9vj0Xfe0/1xGY9MpSB1Xrg+nrNzfWSWZ/Z39thZ3dO13cc7B5wuH/Ii3dfMBquVjabDevNYHr0m0uuri9Mk37xjLPzJ1xcnnN1fc56fc1YRtu/6koPFZJaVWyV0Fe7oY9Okq7oCmDSlqwNfYsaSxk98oimbApV0Wy0U62KFHtzSIW/Wm1d/7lfgoUjcfAmrkaoHvOJWiJAXfcclYehUgi+uNTwnhIrlMl9TaFiEgjXGo7C6AFpi9Xe4l41dKMAWiDlybtiLT9Tsux2l3tmiz329m5xcnSP28f3uXP7RU6ObnOwe8Tuzj6LfkbX5QbPy6Cs1yPPzq95enbJG49P+eKDM0sUPn3G2dWSq80GHYsjw6AQ8AY7U7+M1Iyle3FJbcOq0zO+Nv2giWqRDkE1iTf1sjGzU6d9OGQaR5qTNXVNoOSoXtsuOIqjpNQPw6huRCyjry3Ur8lkmriEMqKgUBmkbL2bbq6uePH+HUselZGZVoY6WiHP+ZIPff09XnnlmItnI3vvfT/zwz0+/eCU1VA4XGQuVgOLmfdSr9butmhhapbvRR4emVWtHmJjEVN1oyVQXZoQUdpYTH5Xh2LtZitcD2suh0vu7e1wq+tZnp0h+4eUz/8Txk/f4tbqPievn1Mvf5X7+pB7u4X5fI5gaoexWj4lqTIrN+zfvMHj2a0GdDa1NsNiPG0AkDiKLFmL4qD/tveDWn+NqNW1qRWjXbzKFFziWuO0G28bodWdt1ji0T+793W0vzvn5GCf48NdTk6OuHu8z0t3jzk53GNvd8HuYoe+7xtlo6Uyrgeur254dn7Nk2dXPHj8jEdPTnn96TMenV9xtVyxSB1H+7vcOd7nxZMj7t895u6dY24f7nOwv8t80dPPOg735hwfHCDygq27WizvM46sNiuubi6tWvTilLOzZ1w4Qr+6vuLm5pK6WTPWkVHVT8F5njaMNgARf9Si0xmXEgdo12aU1SkR043XNgfeXMDsSa1UGd/WXr5jDLclEyYttdEdLtcJMnsrtFHENrdGuxs3BE6ZtMIaxPuFTN8lbsWyc1a1mhzRLFdpvN6EJizx5FNAJttilhmLxT57u0fcOrrNydEL3Dl5gZPjOxwd3mZ/94Cd+Yw+963B/ThWhs3IxcWSZ2fXvP74jNcenvLG4wsePX3Gs6trTm+WdrKIeuWgT+wgziOn4F/BkKrnA2jBFhaAGLKtz42QuR+rzJr6GBcESX5YRdvYMWjulJIXpVQxQCCuH09xZEMDE6av1kDu4UBDy2CTbVVw4pGRfV1u84uXlNtT5YaElC53XH3+V9m88j66nCH3DEmYizBLQk2V+6/c5nS5Yu/eLVaqnD67YKgjd492uLW7axFCVZ5e3nCwM2fWBZ1lIbQdNlyaGkBcYaDVNnAS8+lWUWtUXXWuvEsdo5hUL6dK1soizUi99aC4Xi1Z9B17t+9x+ewW88/+l7zv9JyXjnpuzwTdyWxKhvUNNWW6lOn7Dpn1jGOhq8rt60d87uibPRpxbo4JUdegM3yeNV6h1t6gOK6xn1vFxKjKwvMao1NpRSHUXM5kUsWOdgsKpU+JxbznYG/B7YMFL98zI3rn5Jh7R4cc7u2wO+/JXUJTNiqpwnqzYbVc8/DRM56dXreagAePn/Hw/ILzq2vWq5GxeN1Cws+GVFY68PTmmk89eEinRgL1KbM3n3Gws8vx0S53T464e2LFRbdv7XPr6IC9XTtVqOs7jg+OuHV4zCv3X8EOgRgZhpHNMJrS5eaSy8tnnJ2d8vT8Cafnj7m4OmO9umJYLxmHtY1d9ZvzZNFYjf7oJCFSoXp5PhDn1ZqTipYc5hE2XpeSFPLbqwHfOYa7Oqfm66zxYziXVL0aKbshtsyxNOVH40rbB7RPtuW81SYx5GYAUwLSyYTktICAqInpyR3zfs7eziFHhyfcOb7LrVsvcOfWC5wc3mF/74DdnT1y19EbIU+tI5tN4eZq5PzsnMfPznnj8Rmff/SM1x+fc35xxfVyyfV63Vq0JjdiRYTONUPFqQVBHAVK6x+tUl254rswDlYWmZCBxPOl5nhwbJ6SukojNj6kbChzFC/t9d9EfURyNUyLCN14W0JF/n/U/Xmsdtt23gX+xpxrrbff/f6a095zr319fZM4tonTEEJSZSUBEhIokyhQVIoiIiUVCCHxB5B/QApRIRUBIaFCZaAEKZJKUZAikAJCQkhQ4tiOncb27ex77+m+bn+7795mrTXnqD/GmOvdJj7HF6gqnbw60vl29zZrzTnmM57xjGcMlImqBe5iFJbwTk2c/wvl7qi/9TAcGgW5qU8IMtTndgjRsgv52o/x+lf9Bp5fmrQs9XDf9rTLe54GWCwWnN+9ZjabsdysoFrzZG/KfDqirpSqbvj46pb90YggyrgWOixgN0FIWUiajOu2K0yl9jmTF8eLDlwENAaSN0jl3usfBDRYoAwSqMRHqFUV1WzBeLZguf8Gqypwk+5pE6yTcrfqqOjYndTWVBPMOCzE6BkNLJbPGeeOTajtZ0WS5u9Vs+uXVbcZFuq+9kqXDfBUhYrM3rXsNGQVnD7RTK+KZKM+RnXDYj5if2/O44MFTw73eHK4w/7ODovphNlsZLJTsdpByonUZ1brlsvzW/OjubjhxetLTi+ueXV5w/XtnalE+jLVydaQWc0qI1E6UXIwuir4+47inh5qo95y7rjbJG7XK55fnqIfbAFBFWrm44aD+ZRHe3s8frTLo8Ndjg932NuZsrOYMxrVNHWkmTTszOc84RGqn6dPPalPbNoNq82S5eqeu9sbbm6vubhyX5e7S+7ublivl4TcDvy7ZAGpoVei9ORsgztSMlKyiB1iIVMGtP53AFUiQO1tzRpcd+3YLPo8xHIDpCAFLcmeg/HCl3p6iCtRVDGxuyPxoftJrcFnaLUVQw+haphMF+zODjjafcLB/mMODh659egOU1dzhGhDHFLKdlNXLac3N5xe3nByesOzkwtevL7m9c0118sl67aHrN6WL9Q+aDZUZnIV3MOgoFRwDwW1HlKfI4pIdB5969+tZOdjs3cBWlpb6r24jE/LYijXLmWKoVQcWuS3h4c4pVQ6zVRtMxvdElFNREqAlqHzabCnDda5WZpCStAuN0rK6/qIMAp3Hu09VpjW2gKKWkt3VmrWNCdfJf+N/xre+s2c3PW8vF1xs07kZ5d86emc9fVLZPMSwiF1rZzebnjrrSP2ZlNm45pvvbwkRuHR7pSmjozqyHLZWz1jFNwCDsqg1wIG7BpAqdwKRXngmFbs8JO+p9jkxhCIwYyyBBjXgb1Jxd10wvn+U3IQzs6ec9v1zCOsNBE3SiVKU5nqJUpkHGwwhGgmpDsO7j7mdu8LdpD5/cEVOwWYFK2M1ReKNE4s6JWfSKSORmcVADSpa6bjht3FhKODXZ4e7/P0YM6j/R12ZlMmkzHNqLJBy+JDJ/qedt1xeXvHxbX1BLx8fcnJ6SUvz6+5ul9yv17TJSX69J7OaQSKneqAQHvKmL+sSh2h8ulHZrEc6TJENdO5kA3dZs0OfIuBm6JZaDcbLjdrLq+v+dbzF+hXTehQSWQ0algspuwv5jzen/PoaI/HR7sc7+0ynU8YTxrGTcWoGTMZTzk6eISX5Ukp03addY0u77i7v+X2/ob7+1vOzl9zeXvJze0Fq7sb1ps1bbtGU0/SflC+ZdSVR1bsRiGHvwMCN7j8StxGEStAVgTntvFKvXO5YjclFomYBytL5XzRypaXEzHENowMEqhCQ1NPmc/22N075mD/EY8On3B88JS93UOm46nJ7UJlgn1VUp9YrTa8PL/k/PKOl6cXvDy74eT1Fa/Or7herrhr1yQyaCaUy+sGWI1nC4FsxQjXq3t7jqdSVvDTrN4R1/vi9achD6OzSok2VMYyJi9SoabmKOlIcFQMmYpCWYgHbUEkUzeR9SZt3245/JQBAUXEqQ31a20ubdvpJ0V37t4Ruq0VFOdyM8MXiitiFHCvN3rEuxPdC8IzIdvLwakZZbK8ZbK85OpP/VF0/qdZ7H6Zz7WBi9MX6PmHnH8sbHTDd//WfwzRRARif8Xqfp9xHblfr7npOr58eEDbZ9Z9ZoZwsWp5upjQ9dkVJUrnh38NSLKUt8w9NeWFIMkCYuWBvhfnhUXQHqoY7IDKCpoYVRWVCjuLOXtdzyYkbi8mXPVL9vqeGJX7Tc8kBkuzo1JJx7gZEUOkC0rsM8f3z/lg9z3i30aVeA3H11TyUVu2GpWgmQYDP1UVGE8a5vMJx3sLnh7t8ubxLo/299gdOiPrIUCj1njSdh23t0uubpacXNxacD4559XFLZc396xWa9q+HySU7rZKQKlVkWDy0FyQvkRn/qxFP2DroseH6DrFo8lXXBaviQWnS60W1uVt7C9FxtJg4/VUiq9JySXX6xVXqyXPTs74GX+uGCNNrJhNGg7nU452F+wd7HK8v+DRwQ6HewvmfoDVTWQ+XrAz3iMcezEzJ/o+sWl71psVt3dXXFxdcnFx6lLGK27uLri9u2K5vGO1WdL3PcEb7zT9z+ycFJH/K/A7gdeq+iv9e/8K8E8Bp/5rf0hV/0v/2b8E/AGMcfhnVfXP/nKvAVbkyF4ZL52MNv1CfXKMOOhxSY44hhNXpGjR+gYIZfSW+3KMpuzM9tjbOWJ/9xGH+8cc7j1ib/eQ+XyHcTNhVDU+Bs1StHbTcXl+z+nFLa9OL3hxcs3z1+e8PL/m/G7DerPGbN9NCyzZ0uJSCBKfU1maWNTTILOtdF/frK7l1OEAEmekEQN9tXdSqhQvBGd9gutngWK6Lh5Qi6olo1AUGqEUXRUVa+EvCo8qgsRCi5gEzPSnOtAi4i88NDi42ZeI0PgBMFB9MExMF7F7W2KL+oFqkhShR6iDHwrgzVEegAovLuZt4iVTptfP6DdLUu6R118lvP8VpskNDKSiY8TsyRcY7x056o0cz2B5c02oG3qEw9mYBHx4esvBfEySQJ+groTbZaZT46j7lP1gdR4y6zBWLRbNf3C0GoPTWs6T50SSzKa3Ib8huA0AgclkxGg1ZWdfuO9W9JNdzruW3aqn0UArwniZSU1mFJVAz3yi1HXFaBTpNbCzOWXUrVlVo4FWxKVklcoAZowqqJjVVqzb35vy6GCXxwd7PD7e4Xhvwc58wqSuiXVFiGXN2rDi5f2G69sVr86veXF+w4vTK07Przm/vOV6uaRLZn8Qh/K4Hb5l5mnEuw21jGQzJ0Rr4LJVl8QyyEpkWM9WSIRMoFNBe29q8sArDthKi2tRZLgFm6nF5IEctTCmWrJ2/wKzGRAHRmac1tGljmW75uzqhq9+/II2K6KBURWZVJHd2YSD3QXH+zsc7S04Plywv7fD7mLuDowVMVbsTPdYTHZ4evQGxb6563u6dsP9esXt/Q1XN1fc3l64JcAZ17dXnxovvxPE/R8A/zbwx/4H3/83VfVff/gNEfky8PuAX4ENC/7zIvLF72TupA7ptC2anCzNCdbzjqFyUwUH//DqQdwKjRVVPWYynbFbpHZ7jzg4eGpBerFnFeyqsXmDoSIptO2K1f2Gl9dXvHp9xcvXV7x4fcmrsxvOL665Xq7Y5N4lhQEkDwOEB9oGM5cyy1fxYGWSKj8K/DM67wkuV/TGFdn6Fg8t7s6PWtAUp0iKt6G6xtR44NSbr2/xIrfCoHtr+CbEU/xBBuhvPpNJCSiFkgKRVYdrC94CLobaBk5ViubaXepcTqilOUpdN4yS/CAwWqryTWaRvReoFWqxQF4OhJ4MwX2fnbKYp8Tji5/lNiltG1iJkKSnikKLIFKjoeHg87+SHAXJdr1qILV3xLzHaDRi0kReXN6w2ijHT0ecrjcs6sZc9pLSufwP/7xZLFj3mgjqkrlyv4rhPkIi04slCMUutI7RlBe5N/VRHWgnNaNRw17VoMtL7uKc26hc9S8Yq3lId6nlIAvjkGy8WkpUYUQ9aojjGWwS+90dqzjDdCFCXVVM6sh80nC4N+X4cMHTw12O93d5tDdnd2fKZDymqYPP2TQ5bNd3rNuO26sbzi+WvDi95OX5Fc9fX3F+dcfN7ZJN15qPTDYLCpOy+f3PgBhCNo7d/N3LNdp6b5RCqRjVVnTjCbqUaX29lCHR2XdP6b0oQMICsBqNmBJFT27jCNWuv/ieE7HRaKLogynsNg1qmKtuU989S7QSkzXZqdprV2SyJNq+o23hZrnk/bMz2wfZqMGqikybEfvzKTs7Uw73Fjzem3O4M+f4aI+DvR3mswnNqGY6nrKY7nC8/8izN6Oquq5jvd7wR//l//MnxsvvZObkfy8in/vlfs8fvxv4k6q6Ad4XkW8Cvxb4q7/Mq4AqjRbGtrALGZt4YchLNBFjJNYN48kus/k+RwdPONp7zNHBEw73jlnMd5jOFqYDjdE1zdD3idWq4/zmgvPza56dXPLhqwuevbrg/Pqe2/t71qlj49aqkTy0ohsv4LQC1uxQ+eKQIMahF8yo1ngxSBK3jIUXRV37rGodfmyLR/gi020niC+p4JRHtBFpTkNQ2v2R4ckT6oU1k9VJNrQY3H9h8OQQqydYE0IYareCuS/afcjOXxo9oGK+JEJ5s9s5oeJpsIo1LlhDhsd9iUQVd0LLFL9jm+1o91+ck3efRQofnrIOtq6NZN67+FlGNy+57OCiz9ypoGoOhjWRTYiMFzvM33h3QPDlk0nuWd/fs6jH3HcdZ3cdMQtVDFytM2/M/BC2d0Tbd4yr4jpjY8uiPNTmFA55oMSHw6rrEyHbuqurSJ97xqGiyxvqOlJ3kUnTMKpqwlXNuqmR5jGbXrm7f84kQ5uUkJVZBYte6ZIpd0ZVRV2NiWPhTbnm8Re/n8P9OY+PdnlysOBwd8F8NmM6qqnrOKxjweZZrtcbTq6WnN/ccnJ2w6vTa07PLnl1dcvV7Zr1ZkObbAqPFTnxwz9TBUjBaBZRm1ea3bOenIkeELPgBVxz9/TlRRZT6wBDLQunPA1k+IGAOv1WaiFlyRmYKFmdFtpDt+IEqwUpVdg+F468i8Oo1Sq8GKgMdJ+NZbO9bZmuQaUKa6ZKWKFdyUSyBVCnfHJK9H3H5WrN9e016aW/F0xhMqkrFqOGndmEg8NDjncXHB7ssH8w52hnxv7eLrPZhNGooZmPPjVi/s/huP8ZEfn9wE8B/7yqXgJvAj/+4Hee+ff+toeI/EHgDwJM5yPqGCAlVMSKOyEwasZMJwsm8wMO9x5xvP8GR4dPON49Zmdnn8lkyqQZU1XR/bUDfZdYr1acnF5w5g0rL15f8vL1Oa8ubri8W7Fet/Rd9lPZTuDoC61x3rlwxBmQEvT8d9U7nwJWVKyww8WUL2oab08Dy8mtwQp+0VFnHIK6Uwcl/RtUsU4VpTKYVMzoSf31nH8WT0tRIWYhu9IhhJK9JBDrqiuHWEGHIsEGFIgO5l4mvzSdfPLmpoTJB+OQhBYtvFKqpuaJ7Aoe+zTGcUug88OpKn40akoNG2Zhj14ZNnuRswURojUDEoE37k545+rnuFJY5cSyy6yzKUFyFdBQQdUwme9AM4VsBVaCTRuJVUXuW7q2o01C32UeHUwQMW340bzhvusN+fU2iUYkbP8vRv+UbEWdulJVOm/gaXM/kD0aINZWp6lFiZohRvu6igYuplPuYyQ2Y+JkyvF7n2f5k/8lqe+RHEibnpwjKUWSBhTz+66rClHhLbnhd/6eH6aZ1NbViIOEvmfTdpyf33N6ecvJxS2vTo3mOLm45vpuyWqzJmNF30YsGA3SR7+LsG0VVw9QJlp3iOVZV0DNoEutYGh0iavEfERfmW4TfaJTKWpmoBqasSyQagZcnlrWVek6RCxLZbBDgJzE16W/bW/rFT9VjYo0dUweiqH+WcteCqU5zAq8qbIdHDSTUg8SkWwBu9hdDNLJEtjSll7UQrOpaf3vNxtWqw2vLq7pP3puObdTbrO6YT6dcrCY8vhol6ODg08Nvv9TA/e/A/xhXyN/GPijwD/JNtF++NBf4nuo6o8CPwpw/HhX93YfM57usrN3zOPDtzk6OOJw75iDnSMm0zmT0cgWq5e5+i6xWne8urzi/PyGk7NLnr265MXJBWeXt1ze3rNsN6bFFfFEKvvpuj1N1W98ArOH9cCWyuoZWvBdaoejf+fwhsJQkVU5T1Y+uLWKR5Dsvh2WcjuHQgzBglh2xOaLrngiGEAwCiGpNcyUJy8OgehW5tWrycZiZQUSVSviBDFFCA8Xa/AAK8YeJ30wNioEM/YXKF469v7sTQWR4bPbaDV1ftp9TNR05MGSDytCim8ub2bybUfOVkRGILqMDd8YItksTnPL56/+FnVekzXQSUWbO9Z9ZuPPYfdNGGFTUyxRMYFZxGoXs1HDcr2mr2vmk8ijnQn36575qKKOFau7JV2vrNqWuorkZNmH+ehYBqCSqWLlpLUynL1YVkTKjGKk79vhM0i07GISAil1BjTqivl8hgCT+R51LcwOnvLoh/9hvvVf/XFCSmxy8AyoQmJNDDVRTQvdaeb+9TPur265uKu5vrnlxfkdZ6c3vLy85OTqlstr80hvkx9Evh1NdVEyBF9Hfq/t56UALYOFQSXV0M+gYsHXDmzfUzlTqD07fLPbIchALpf1lcNATXsWWjhn3z7+foJPn8ERuK1TD5lSehNKNidbW1hXUlm24BmkliKyt8uUir/oQHEGNT1wcj5GsECfMImumdqZtW9OvQ+adqBV4oLm7dBJzyBz2qqrCG6A59Cuz8ptu+Zus+blxQU/9/7H/78ZXaaqJ+XfIvLvAn/Gv3wGvP3gV98CXvxyz3e4/4T/3f/6D3nDypiqrixAZZtPuFyteHVxwdm5KTg+Ornk5OyKV2dX3C1bbtf3JO+IKvxtjoKbQQ+aZ2MVvKNMdPAdifiMxQcSwxyccVe3WAWjHoLJj4peOefs3CbGWBTKwXXY1i1lr1s5qi5Fk2wlbqM9FOuuUX/dLObP64sziN2sytPCyrnfEkSTq1hi6Hn3e1u++23hr/814fwy0ksyXllwVQvDTD2VgvT9uZ1jL5SAAMWyFTV6xa6FhYAggzHAVs0jdgBGp1OqgJnoEOiy8ZF2bsmQ1prTYtHz2yZWAh1CouPR7Uv2Vi9oU2bVJrocSRjnvOwSdRVs2HPfQmqJYh7dIkqtW1R1PB9xkSrON6aGaarAcqMc7NTDUIBNn+hTYhQjOZhap8ICUPJsRkKg63rPWOx6ikITzLs7586Kvtm8KlLONJXVAtqNsOkys8XE7FtVGI1njEeCxBFf/sHfyNt7gT/zH/x7zBQINb2CRLP1NfuGBGRSe8O/9x/+KZ7LDm23oU89ffY5Tqpu/VqjIRHEvcdzURV5ATP7Z/B1Vu5r8MBe8EoiUWY/BolItqzJqBF7niIXjeUwUJuNWiCPBxBDtGB5aXYmu6x9z1nKHMmH8z77bGoUyv4pB6a/1tD0hdeBfC3bXgk+n8E6HCmALDu9F8Qtn20UWpUU6Mlbdbl/Dpcahsrn1TqaV+fQxRREIhaYo5Z9BWi2e1MEBSIUq4AYwyA3LR2Zn/T4nxS4ReSpqr70L/9h4Of83/858CdE5N/AipPfDfzkL/d849GYo/kxm3XH69MLzi5veHl2xfOTKz4+ueD88oKbuxW3y5aUO8BT6RioBgOXbfFNnaMVT8f6knZ7IMliKMMq/ZGqXCO/4BSnOHHuCz+5vaXb475bFUTzbi/IVPx5xZF4wd05DCgbbHFnR6CR8pIFZZZ2CfyJ7QVr2fLIOIqUQd9tSDAGkC5zcZtZdrW14GvlgdXVEVj1PirWLi/lte3k2ZoDedOO+sLEUnUL6NsTSkW2dqZixb3gG5ghlluwq4J4MTQP98JMwLbTW4aHZloC0xx46+6bNE1F2/ZoVZHV1kFd14xUGbuvcZbe0L9sVTTuxW+HUxTe2N/h6sU1xEgVA1WAw+mI+3WiS0LX26FRVRVtSi4nMxtXxdaMYAjWlZ52a0XJJGvvD9ZokcW06Ph9W286a18X5Wg+9WYqYTrfZTG2TKXdwG/7R34v/+3/609T3Z3S1IHRODAe19R1QILXAbqOER396bdYL74bDR6svIOPrIQsCMX61Z0kg27XFTbxvviWFE5Ek6KxqH3sXueUPStzpO4jvwyB+++4ayIDivfs0bNDFSBZMU/VFr8OAdTL9d7tVdZecvSfg/mgGGWiw7So4r+vWkqUOmSRvXuxCDKMTekcsQcP1EWMIw+yafGCqeu4tvJK1+wX4CExEnIGb+ALsXY5s19Ksh9o9v4s7gSvVdlnMDBo98ykkToApE96fCdywP878FuAIxF5BvzLwG8Rke+3t8YHwP8eu3BfEZH/GPgqRmP+09+JouTk9Ip/+f/0H3B1u+TqdsXdZmPtn8FS5kps0q1i/FlVogHGP0bZWqaWKrLAMAsyu66/BJcsAqmoMhIq0f9eyFVBVSWVhCEqB7wC7e8BlyZGQYofrwfmUmIzT+2tk1jZLOVvO1+YgSLls0aCELbaX7uJtqkt0Jm/iPHY2RtYiho68PG3Gz74IA/yrM6nNPo+AvUAHoruHee+7braNi9uijqw7ogBLvELEygDbj2VLSms8/lSnt8TinZIl42/74sjmtgG0XIoKZhVrM2ur/s7Djcv6HPHqutQlNhEmsZkcVMqRjGy1sAqK6meeiHVIkPnKKwi0Gvg6d6Utztl2XZM6opxJTSh5tV6zX2fWHU9o1FFp8kHNxsq6rNf8ww5KVUMQ+OLSHFfDBRSuHdPZiWARG5XGwKBZbdm0dTMRg23yztSFahnc3ZmNcTAydUd/9F/9TeYTneo1xfWLh4E7XvKqC/A+Np2zezi23TzL5J66MDb2s3KNUfDsDajUn0qS1mfdrEzDoS0HNKBLMUMwQJ56QUVDYMUr9BErn3yArEjb4oxmQd0k1yR/MA2dF2QsqFoGV7OjwpL94r4yL9XKBAfQOxZbJDgMUKGdn/7dTO3Mg297aXOd2DAhmCIMgz2MCBkECKH7DrxRMzZ94c6DVjowzx8YX0b9lolLpV6wNDBrJXvneIto65SE0rn87Zd7ZMf34mq5B/9Jb7973/K7/8R4I/8cs/78HFzt+RvfvNj9wy2m1RhaVEdgqHIEgxlm7Kon46W0jka9kURvUkHLbarttAHTCcF2Qk9xj81YsU9cb2ybKUWhh5y4fOKV4PduOxBog4+AUVMQvSLRpd5wEeV4CXy4AWSoN6z5u8pePomvoGKB0KicHGKlQftvRULVQB80wjmWBgkeXZgm6PCNL7ZF0wuHWvOQ2a/1vafepDfarm1IAkVg00FkQSBbGyP8dWB2rOBvoxrypCcWokixGiFHxVxR7ltnqFaUu7MW7cfMNaOvkvucW3p53RUkzul0ppA9qCVGO8/MvlcmaxdDmDJSErszSZ8uRlxu14DMJ2MObm5575T1usNKDTBmj5yMnuBUbR736nSJ4iVGV5VGOqUB4gt972lUJpsAn2b2JvUVGHE/Wpl7eXTBolCSj2jaoSSaauK2WxO1sTdpmU0nbK3GrGo3Yc+K23XEYNJJVerJe1mhcglISX6GKg8sAbV4f/JD9UCKqKn9ugWBYsrQ0RlyBhs2IUX4RGXeXo2SjmuGUKMiksFcyY56CqIXfO2f6EEbTBL3OCHX1HzDLNKsxd+ClKn6NJLUH6Q+znVBqV4PMAJ+1xih5aNOIuQw1ZSKLZui/tjEQOEIFS5uCja6yVxKa9nBWhyCFeqb0qWbGAp1BbQxWlD9U2g6oMTvJ/DD82kZvRVi3hPySc/Phudk3bY0Gse/JyD2gihuhKCB2ILzIYEexE62V7kgootZfVTUwyRGh+nNn3bI5BVkO3lgyWRJMyqM+K623LxVEEDvVhKqTlbV6eUZHxbrDSE7IeFf88ZFguWQMzepkspfCq9d9pZrPTF6IvZxq8x5PtGZYShzT0gxrWW9yxmFl8KJnWM1q3o1ygNr2MfLWRD+gYs0zAQt/iYCAzyQbAJ7Crm5zE0QjlaCZhqoM+JjeWkNqxB8VKM/20xLsI+VxUgBz+c1RhcY8Mzs9UZm9Ud605ZbYwKqQSmsUIkGYdPzbqDOkQWx29jJj8MZloFW677NTEIj3Yn7C1GnFxt+PbrW2bjmopumOJudBes+8xiGhjHSJuFm3VLbAJjtUJxFIa2bCv6RlQSqoGmqU36FpU29fRty+26ZVyPqOqa2DRs2o696Zjr5Zr7LHTZuk7blBnNdhjfRJpoiLBLPfcrm/ySJHG/WtL3LaFfElNPHUcWPF3lYGoo3wuhIFajFZN35tn8xDJ9ajtM4WHYGD5fiAMazhhnrsmlp5Tn8LWMDHtBYfAML0BACkLLpj/3/yy7EYyG8rtWmrNcOOIe7+X3/ODxvo+BmvG4guL1h4xUSlUFuj5ThUD2TtgQ7HmyepauIJKLisFeMxgYSY66E4mo3s3ph6RotppKCCAVBKNzTYFkFgbA0O+B4vfb9ku21IGQjSv/tMdnI3BjJ2PyXWyb2zWfyVULWGW2zGQrfgyC6UoHHSdbFFCKZTa01i86Jb2DrbMgLjkquNW4vBCNY8kFDRfuN7quuhTRpBT4jMfts2lEew+GSC5LbUu9ZOMQdWj9dpQBlGKFNX3YwaXosCBLYadooYPaJyjyqyEVDtsAXbBsKTJWHtRBkGQooZwwXrfkAZ6xd+9NFgUZxNLpWq51QVbJDqliFl/QTyzve6BX/EwEohct1fCQFVIRas1MLr/NJq1ZbWDdeWOMqKk+ukzTjFh2avLCZkLcPTQ0KXbwZLW0NWrFZpW4ud8wGTdUMfLi8g4RYXca+eZJy02bGNfCpGq46xItSh0qiDXL1coyg2CIqHJr377PJKxYGcRUPepZRszZtNo5cdsm95kOLCZTRCK5zUwmDascmDcNrWa7AlIRRyOIfp8Elm2LbhI3fcd4XNOnRJWUtmuRvKHPDVkSgUJ38YBjKHhQrTlGzdbIrjp07pUjlBqQxz2nJrRkaTidsk1GHZSYo51IoAyvTiGQHXkXfmFQjgD4qLzghfbgSHxYe+JboXzh2MaUfepePnloMHOYTmHg3PbDVpUIbZeQ3mo1LRZkq2BzIXM29G+68FKKZIgp2Z1cstN9QWzSlq3hIqNURMNQ3B9+5vcvgKtd/DqCAy8d7CHKdS6v/0mPz0TgHgKKoyMdAp537KlSOq9CObHBOSsLumUEllKCoDhFYZxkEoXgpzJCca9TLKArxgsOo6dku+CC2AzKoY14oCu23BgFeYrYxiU73+66UP9kcUjhrD5XvK/Vx0aHIXjKcHFCiMZJ5+JxLaiV9I1S8WKTlsNDPG3LSsKacIIfZ1F8CDNhWODimzM7h1ta6sv7tuvlRSc1VB9cAz7w38kojyxCPxSwxHXghopSVl+YpsEVLPUst17wtDy41W4Wxv2GtLzlVlv6XNOmTJfKoWRUWqvCMnemmd47pprv05FdPpkZF+6whqrpud90vLxccrXqSQS+68mCr58uOb3bkHplb2dKJcLdpmN/0tDEwMV6TcqJcYhUvgmz2uzFtk/0WWh7s3CtK7t2KSXqEGmCDXDoVIlVzXw0YtREUyD0HRoqmkaQpmY88fUchJBa81kBtE+0mujaNY1gryFKNaqptSe0N6zrBSMNXrsIQ0YVJRg1gJI1Dam7afZd3aHJzaoYitim7Cg7lCG4BC/2D1a3HpcplJH/vBfbY9VwSKvXabzMLa5eEkCi890WAGMZCBsKXvDnKZy5OBh2vXZS99T3IQqWmRqQKV7wYFXYIFhWjCLJoGLwMmRfCs7ZMkgJdtD1DmaCFikfFD49qOm7M2nYU17xBwk+OcszucIElMYeMRpGYxyyHBEZVCef9PhMBO6yaaMHnYHvKoVJYbsAButSR40qZpEYt0E7eEHG/G6LoEfcYtENm3xBZzGFhYpx6QYBMDoFoxBwuVpRi5j8M2xpGdd3aio1aLutVbCWlrI5EmpDeB11F8VKfoCm8c7EMh2mnPhRAkSXcflSq0qApujHgy+K8h6N302AZn//ng6XYmBW82kowxYogVhLl5ldBSloQyJlMHKfvQhcUkAnuVPGkIfTPsWzAqwDriowvNQQShVfDeFtyuAEMuPNHdrd06n7Mgdrl1e1gyARWHU2oq0OwvT4czRNRVUFpuOGRz6w9unRHk+Pdlgs5vzVX7ji9f2GNw52+OKo5uR6yUent+ScmY8ju6Oa23bDpBLGTWDTJ9q2t88jhs6C1EQxak3w2ZViB0rXJ6rKVSgSaFVp+8TudIwA43HNqA7cLJf0mqkijMZjslSMx5F5lbm5vYXUUoVAHRNNE8ClZs14RFVFsiZGTcO6TVR9C6kjReN6Kw+sw34JnqkSSJgm3XzeLZDESkyzrjrI7OwWGNjJTgdER78BV3WoZUB9n7yhpmDT5Nw4RG9+Qe35UxmKomV9OxR7cIBva1A4eCqrk0E9MkxYEojRa13ZJJwF5IjdNDelsia5MqwlmELQ6xPBgFtB2+7tk3T7evbtMmSkZDJ+IAUhaqTIMGtVVNStp4UqBJtZWz5FLmoZPwzd90ZzkTV8+uMzEbjB+ELrqDNUGKXIudh6C0tJG+32lkJGGXyg4nycHbdO3g4kxdDZWC6KUrx/k/NoFvSTlktnCWPwDdlraVIxEb/jW6uI4wL7vC0a2qRvr8i72KAoJ7Iv2uDpJUFI3kkWZGvB6XThgIQL5xw85Srvwj5z0WhnzykNZYG9lniBNcRtC3KUMHRnVuVKBTvxZThQ7PsV0GlwisZ9sWEofJmVrM+cLBeBUlC1lLaXwgc6n6nFtB/Pbe2HlW/i6f0J5N7uVbYCTp+hS4bIW012XwQSgd/0238z3/Prfj2P9ucc7i3YmU6om+g0knJxu0bCLU0tnF/f001GfHR+DzlTB5iPPeyk7F205f3ZFeuzsln17M8mzCujzHIHfd+7OyMIkb4zqm2TMst1x7RS6mj+6qPa+gFu7pcogVjVjKjoCay6zKzyYFtGZJlXL6O6YTYb09QVVVA26xV1qKjaNSPtzffD75Oq64rJpvBxJVKR6GXUgIoXB0sAVcQnKrl/TrDMachA/TAvumn1nL9PVgMqnG85soOvp6Hw7px33m7j4RAWsWYfE4AUQ7U87JXsxe7g/S0l+IfyvJqJ0Ru6bNVbliVCu0zDelQU7ZJNZfA3kLNnsL5ekx80Uex6lFm0hZIVF8dIiPTBUP6WQfLeD8FM6JIN2khq/kOCoDkNyDppJvT9cI3LZKVPjZef/uP//z26XNrC1fg5zUMwKI00isdiLyx2oiRfCBHTeCaBmKAoMGN0KuDBa5UUSlHiCMYjaFc6pJPqZk1WRDOv8OIRUgqZaLL3q5lQTnlf/A8LJDpkEdm9p8X5LaVSQ84hi72mp1XFO1wQ18fqL1rAsD3wy2DlUuQWXDejgjhZnAetLag3VtiWtiBbRdfBZvNUSBTt6xZtJBydgHuHm8zSX5ailRUnJaNv/jhkLK6MMFnA0OkYQ3m/mD7ZU0n7pzJfndLUFes20wls+o6+B6Wh6xJJ3MozRPaOjvmH/qG/j6OnbxAwX46u67m8WnN1c8+z01tWVEZZUHHTdRBMXhiwkXCjGCD4INkEOshGLaAsN2bLOqojIVT02rLpMl3y4QQ500gkojQx0G1WkHtEK/oWRtMxVVWRFe7ullRBaJqGlGFSj2gq4e7ukpTFPOqlmOwLVd0wHlmBsGs3dF1PMx4TownRJFSDSiQPK97uPyXoga03tTpMyUDxST9F8RHB6jAD0BFH3gWlW4qbstJ5h6RRJM4UsC28q1o29ovXqD2KEVehZ2wNbfdAcBiey+/6nlLfBHYIFE23UaCiMniIaJ+9C90VNAMd45Re7wXGEih1C3yG9S+2UDUb/9/qVkyJNxflrGbFqq4Dj9GUoWLP1/l90bJ3Q/QDMYAka7YrxaWADw/+5MdnJnCX4kMJqaa5Lsi60EbiMyZLMC6Ce9vv6sWPylFbOdGt8u8TwksAdnRe10KsM7LBqBTEpzYbD5sFfKCJv08o5RNrgBE6tc3QOXdSGgpMauc3P1iDQS6HkQfgBPRl0aeElGYIXAMdwxA4QsYCMV4I8XTRCrtWdOmd980eA8GacpKa/rtE3yAQshVkk7eoi+ShMKJayrW+6aTIrBIhFrtTGe6b3ZNyp3xZq7oBkX9Wvy8hZ6vkq6WkA5rLkVgF6iowrSN7swk7z25pYiDFzNKbYUQCm7ajD8GmqxPpUuaLf9ev466r+PDnPuDF6Q3Pz254dX7N1c09y/WaJPAjv/03sRhFzu43LNcds2bEqk3cLhOhgsmoIkrNXd8jZCYyou8TXQ9ttkxiPqqZjYSuS6zaxLq1KTxt6qklIJUgknzKiSG+dZ+pY2ReV4zqitVqA5oYNzYYo2pqJqMxQTJXfWedknWz9dMJ5nnSb7I5UXYdKRvSs85CO3iiCO69aMHN9392wyZDgVvpaaHtLGO0w7135FnWzBDw/fey2pgz9b8NIdA8OOxR8y+Pvg8Klu98PfAgiJaAWf5OPLvNzmVLEB/4IUP9sVg34KoqLWtPCqAx2F4M0gwUOPJzebDnFoOt7ECHeLSJlM5M+wQmrTWglsWfHx9KrlZPKr47BbU75rL2eYkEl/ZmLZ9YqYjkKPRloqmUIdp/h6hKhIyqV+tR5k3DskuGxNWDpP7i0zn66Sy65duygAZXiIi6WU2xUd1+YM3GXWzuM5uVGfdHCnftntgodXaZmnqHo/PVItZAYpN3HAMkIXvjTofSEAhZ6QOEtC3Y4RLFUDJPX/CCpfua7fc6jJMOQE7BPlcuxdCCbPKASArSUb82WrogKRsFK2p68VeSc34uQUKgK7FXM5ng3Z2edmdQn7dZhwIfDIUYkgmG3rMteuMUC6IuG0XI7lUeojAZ1eztjDlYzHh6tM8bj3Z4erjLwc4OIxJ/+i//23S69ZvBt2qvQp/NN9sm8FS8L0/5o/+3/4ZVp6SkRs+IDLM0j3bnPDnc4W6VWL26YTYZcbPp+MarW5at8t5ixrRuOF+2rFPmYNKQVbladWbzmhKN896iZv3adT2aezpNJHV6RbJNoPf27PO7jvGo4ngyZT5pqGPF+e0lTRAmdbRrFSOxMana0f4OV6tTcj0GrLiWcib1NgxZJZP71iiurDa72rllYDjoS2FeRb2Vm8FvxVq2/eeavPfAELWB4EAneSiy+fYqOLPUCCkqIAbPHQNdpRu5F6UuGaADEYpnilhmpp5tDzUR3fqnZA/w2W2VbR1nAub/U2k5LAwUqBoFl8SVNd7kUupmOJ2ZyF5Tg1AF+rUNqJMBChrGQXAXQhjUD2wzmDx0CftBhG6vuTy8dsmsBZQhAw5AsAkx9hwutw3l/PiUx2cmcJsqw/ShfbT23k3fsx42rJ/4nmsMTYg+NUelFA9hO2RBvD3VeNnOU6CqtJQXvsoDSxmhZXQIlLBq0jd5EGhl6HrSbAVHdQc5u/kPW8VlOARE1FUCdmIXuV4J2sOgY0BdVqODCYptJqMbbFFacLT1VLs0Dyw4l2QulIDtlzlqMFllsDpC0uSqE7EMQy3HkZA8Vbb3UuK5gW6T11mGkwpew7rUbONXYo09lh4qsY6Mm4a9nTGP93d469EBbxzv8uRol8O9KbPxmMan3qsEcuq5en3K8voO7RJJzEUtZFi3Pa1GT4ujHc6P3mHd7JHaHsG0tAMSwxQCO/MZk1FDkMyXHu+w7DJ/8RfOudm0PJ5NWMxrNn1itWzZbYSduuK63dCljlI0lqDWzSkB0R60N4+TPg31lqSKRvMECQg7szHTUeRwMWI6NvXEcnnPtGlogmG/0WREPRrR9x3jqrESYj1GxbjorNnat7vOBkkHvGMYRDM5mdd3iSsli5FoE9etyCYDGiyQPHg2alI/r0FktczIZFGDsiQXzx5fDfb9QHHpKzLeQjUotvCyr5vaC3BWjI6kMlIw2OGVLPYOremFrrA28EDv1E7QMExcj6qDJHUwgVN9oK0vmYJx/Dlv93zOZpvbZzdpc5oD11k/HKH48LpWvk/Lcw0UjGwPtAJoAvYewWSHYYgfShC1JjHVQRZsF8zqA5/2+EwEbgV656WtoJc5vbs3CsKHoaZiw+jID0xKFBQ0Cq0jvHL6J0fvJdCbIoUtOg4ufPcLZc9lt6kibDcqvlD1YVD1pLDw0Z7KiToiVh28R0z65NX44J1XCrWnWYgVdLxO5NcB473K9wGzipXylZ3YUo6IIqnatt33/ks6LBU/PHzjZjVu0qbP+x+V58HkiMUbfNDHO9qRaEUXe2JbrVHs3oUAo1FkZzLleHfG248OeXS04OnxAY8OFizmIyajhjqab0bKkFNm1bacXd9zfnnPq9NLPjq54PLj56TNkqaDPvR0fWaTlXWf0RANBUsmS8X8C9+P1hUtrlrxduxY0lKnAVSEWAc+/3iXr5/ccXq95MlizNHuiDoId6uOLmfGEki5I2SlEaUX2CiEZAZok1HN+bIl90aDtL2yGNUggRACfWst9QFlMa2YNzW7k5pJVXFzt6LvO2ajhpyhriJ1jIyqQB41vD6/NL+X8R5ZIqKm0EjZuHcJQpc6pKptoG8MPlVeh+7Bgv4K0PCcFsWshbPY4Y3ipka+ngyyAjZ8oswPFYAYyDlR9EfJwUguZmcYx02QoXkt6AMxQAmMWEF8CHpD3olTcgFNydvkccHBFu1v+WfLMPtU6j8eKEPJzHIRS9PnTJ8eqFdyqUUVq+NtgJZYDkTdrh10W5vVLQddBR9irZEiVyvIvtdkyq/sxc5Cn5BBrJ0+kemLW6anNap56AP4pMdnInCDncZF9mN6SfMDiX5kdx5FQ2n/Dj7br5zS4sWDaJVaJfgUGmsvLbrVUrixE9XdBVwpIgXlShwQQ9FYD5PhXTJY0K2IoN6oYy50rhnHlRcU3WspsAAYKkt+qIRczN5LsluaIfzEL3I5ly8xdB26fMk7OE2fre5RsqWHwpCKidc/SjXeX82bgWzVWlpahjEP3Y3l4BN3WgxCFYTxqGF/MeHp/pw3Hh3y5qM9m8m3O2c+nTCqoh+SQk6Zruu4vdlwfnPPycUNL86vzY73/JaL2yWb1YYg5vCxs7zgndwPaoKchfsukbBJ6hsNdJqIB28yf/u70MqoHNHsxdFk0kSxoLVuO86u78kaWW42/KWvPuNm1dL2gf1Jg1bKpuvJkolSY8jIJ6PEaIG4ykzGtm3uVj3Xm46uT0yq4L7olu3cta39ba/02rE/n1GNKiBwdXXDqDI3wi7bpt8dj5g0FdoJt/d3VEHIkxmRir7foDFBZT4wfe5MwZIz666j7XvKSDgVtfegRf5pdFuUOEx6KTxw7/SVZs9oBepY2nAMjRZ30uA1mzI7cgjmjl4L1xt8PfWOzgf/DcXqRtmzTD9Q1Q+G0v3bq03BiV4QHKgSz1KLeVl2EBf9RO79s1qvgFEvBXV3WW1CzYMaF56F5/LBtWQSeMZREPz2ECxuh0XDH3xviRf0g1/XUimSohLbVmwHxYiK+cjbOxG0d1ZHxO+HfGq8/MwEbs0uTwJHYmae1GFotS6Iodxk2RYqg5/SRXsZcfN+dSTN1ic6gS9uk9xbE4DZNorihlS2CEssQ8Kg486iNhePkgJKsWVGCV6QMdlXT3COOdO6f4kKPv6r8I7+GSg+w8a9hUKx+CKPwVJYde6+IPGEEjXYpJjKDoo2e1B2CRgFbXvOGkruqgJEK9wUcbunjdmzE2tTV8ajhul0zNHelCeHu7z1aJ83Hh1wvL/D7nzMeFx7J6Vt1D5nNuuO04t7zq/u+fDVKR++vuTl60vOru+5X21sZmSIWxc2p66CQAiR0C0JkgfbzfuUaVMmZeg1klNPFxp2vvB91PMp5OIJYVryQAXRcw61Itrp9YqPL5e8vl7z6mpFVQkHsxF78zEnV0tO79bUIVIvIvdd4nLV0mogpUwVaqbjikezEXedcrvq2HQ9kyoybipSVsa1d9sKXG86Vj28u1hwsDNmVI9Yr9Ys7+6s2amqqCphPp0ymZiRVN8pXdcCQqrH9DImyYo+9WYLgLkrbjaZEJXg6b9KY9dRQDQM6Nr2hxCDkrNZ1BoIFS9Iy0BnbIAq5QH5lQitGFetupWJojoUl8ukI1Xz+ygcO2DKnIdBUbeUQJmus9XA+DqkzCPwzMD3ckGsmYfyPAgxUJcPYRV8yljAkqMO3vNFmeLZagExDBTKgyKl+N9oZtgiA+q3a1O6SIuZ3/B8bD+z0U/+czG6smS/Fl9KDLHn0hDQ9HdA4BaBWMUhVamcW+ucq5Jggdu67uziJd3+fdEDSzB+zDwEvGkGe67obfOmcRX6sBXjNyF4M8JWjlT5uymzFa3O4Dc2lPFFhR+3gkMqfJtggvwoQ8OOcYJ5aNwpnJq66qLwiUgcOrPAO9w8VQsBpJhOYVNdSnqJGLojFP01gPHuxnP72a6mmVcUYuHasNRWhUoys2nD7u6cp4c7vPl4nzeP93l0uMf+7oT5eExdVz5NHtBM2/Xc3m24uFrx6sz80p+9OuPVxS1Xt0s6nyojoejxgyMNa1KJjoRaLKuwLAhk01JLQKNyv07cbXq3WbURbolINd+jeff7aNfm6dzC9p75qyTMKY+s7M1qXlxmblYbmkp4azbmzYNdnl/e8fxqiQbh7YMpoJxer1lmU2x0KkyqisNJzXTS8Prslqv7FaMgjKpA22UmjaXObUqsU2ajypPFjLcOZyxGNUF6rq9vGFeBMKrY9JnZaMzObMy4qmj7nrvNiq4H6YF6Tjda0LUXhsqyEqowKERiEFLXQ67JMjHkWnzaHVimlMgh2JQgg3omofVgWuR9xkrYvtqGUXE6wYqjnnI5gi7Bx/Gro0jx7BWvixSeW3BckLMjUoYBHAjDEAbt0zA7NYN3qZqQoM/lueww7j12BDFP7+AS1D4nJGfq6LRLNOqvDJIofHR5/6o6SFvDkAWIK7nUe0xciPAgWxBfa0W3roWSVePuk4+aI4jVg3o/qMqBEDwLL/zLoAQbQvonPj4TgRsPmngwtHZU56st87MhpXbfqKN9sJy3rbdb8skLMMGpD3/uPpvuOvqURE3ZJtOUk99XoI0zUuOry8lrx+ADbs2QTsJUJMMCdQe5KKWzLBETNv3deXQzovFijr/vguCtOJm9HdZooKJ3LVVxo24AMTLcDiq8uGMcZBXLaR2GIqjxcOqbIiFBiLWwmI05WEx5dLTPm0/2eOvRAU8OdtlbTBlPGqpY+ftKpATrTc/F5TVnl7c8O7vmxckFL86uOb2643q5pu2TBQU1/SyeIpeCDhjHWu5tQfZBH8ge8eDR3RHrQN9b52FSk0r2WenNL4DZez+ANFO61BNtAqKtDd/cyrYf4PLqnsuLJd/7dJ/JqOHl9ZK2Va6ubzm9XjKJgXcO50zGDS8vl6y7TCCxShWZTB+UJzsN0yby6nJJu+loxhXnyw27k4ZJM6LrlOWyZbVu2ZuOePdwwf6kYVxFVm3LcrliPhlR14FlayPMRqNojSMdNJXwaGfG2fWNyTcXR+TXHxKbyKiOdF2L5o6dxYTxOLJZt/QRumZK1oT2XngnD/pmTzDLVC2j5nJp8LJmo2BnPiJubSDW9au5LwvQELDvilz2TFIrljoKD1gwKwAH37fJEX7JUh/AUkPQfpjEGClDNQpAswSgNJOVfV+GJhhlWOpfQXUI+uYVbrRiGDIIuwaD06Z/XSxt1fcJhGGAig1AKQAqDw103pQ5BPnSGVmmVOWwnb7UZ7VRduryZKeAdHjNB1nKd/D4bARuR64m8bS0IsYSEB1RYzSFFKQKlGhbTizBtd6lmOHxK0s5+Qvq5UG11/5WMRpDQklxxAOovYkeUJL7Ljic8VZawYuPzoUhJfi4h4oH4aqwE06FDBxa9u1gui4UPAh5mmcchyF8X8ihONNhzcXW0uwt9UHo1Ap/EfOTaOqanZ0pTw4WvHO8x5PjPZ482udof4ed2YTxqLFirhcM+z5xd7fi/HrJy9dXvHx9xbPX17y4vObq9pblJtOmnoD5UpfmCDs8fAOJzxfE29+dUy0ZcdngIWwVAMDgBzFKS8ZVYNmnoSYhJGscCQEZ7zJ57/td2WKKJFwmaEZcziGKZVddanl9eclkNmJnFDnNyqvbFW3f8+7+lKP5jKqCs1VHm3sSPTfrzMm6J45rvrSoeedowTdPbvjo9JomRlZdZm8xYWdes24Ty82Gy/slZPje/QXHu40ZWoXM9ektaEfVjKkl0ESYTEZMJ2NCVjbrO/q+4/hwj7ObW0QCm91j4llNM61pmsjy/I46RKaTMTFk1hnaMKJt5gSnAgPhgWJqgIi2glL+RRmdqrWk99iAgepB0KskDTNSFWtVN0+QgrpleA48uKkURYexFgM6VUPkiNstF2mc2v5MFLrThAi5+NGTPfhblhHwonOpMWVXwUQcpNie7ZWh+1iKIkwfxI5cirdFhGBAKpVYRJEbWxFfwlaxE5EhduSU/GBxGV+2YGy0dhk8LqSgVCWbLGSVbFUzxn/b3WOIbZ/8+IwEbuNRY2lgwdCyoKi3Fdv0Gk9hsvHMZbisPDz5/GLbZbMb0/uFr9R11hmQUrCUwS7ShPZb+ZKKLdRaXOJV9oBXoEOwllnJRgMMaaEaF51cbK/iVcVkngp2vNtnfGCF7Sd/cAMdwxc1wtrTNTOxN1UHJbX1BSXZioUxCrPxiJ3dGY+Pdnjr+IB3Hh/w5HiHvZ05s8mIuq4sSGPV9s2m5/zyjtPLe56/PuPj19c8e33D2dUtN3dLaBOINfkUO1bF7AFqfPOKD7XRRPR7F90prszNUcLQWGH/Nk1vKgenn4cFRe10twSJNJUh0yg9sXigiLDzXT9EXOyCGr2Wgs0AraIM8zNLW34Sy1fanAia+ObzGz46u4EQXBmgnN2viDGwSkrXw12vnLZAVfHWzpTf+j2HbHLmx3/+Fcu2R0ZwuDPlaGdC13V0Xc/S9cDf995j3jyasZg2TKrA+d2Kq5trdsYjmqpmve6JseZgZ86oDnSbnmcn59zfXfP2kXlyiwTSbNcm9TQ1KtCMrJ4wGjW07lbYxgV9PdnaI1BoLEWCuTkWEqAgXArdIOaxEYCQ9BfFC1vleZD4qSP4YmVbOMRyT1Gl93VZBktkW5x+b82SzCzObIcG1/WqOl2ZQSUSJQ4HcRnpUGiGiB0QUUEKwPOiX0k2o1h3riAur8MAg/iUINleDwu0PsMyeSzJhatXz+4HuGZ/51LZ5AeAFxcA6HIiB6FWB4dRqXI5PB2da9kLln1ELYzDFtF/2uM7mYDzNvDHgCf2cfhRVf23ROQA+H8An8Om4Pxen/SOiPxLwB/ADtJ/VlX/7Ke+BrjZefkwahst2OQOq4z7hldD1bmcgLksIluaQZ168IKirT1L8RKlX2rb5mqvJqakCHZaVhJ8ioci0dJv07UGT9lKxd4c1dQPkyIoKp2S4lIkazxINuoJTGIHg/l+CkUz6n9Q9NNYl1YtkaBpkA+WrrCmCRztTTjYnfPO4yPefrzP06Mdjvd32VnMGY8rQhSimFSp73vuVy0vXt/w8vSSF6+v+PjVBS/Obzi/vmHV9k5V9L5JjEpynzZzUQzBOky9rmD7whZdEFe0RPHRYa5+cSllluBoyWsC/nOTYhodo77hGu2Zbi5oYmS9Xhu/Kzb0oteATveovusHDDGCKVeGCx6cb5WBH60RJtOGo505k/GIt49GvLgWLu425K4nqbLqM3cJmnFNHSbc9xVaCW/v1/yuLx3wZG/Kf/JjP8/57YrZKDCrKvqu52e+/YpXVzd84Xifg5HwA9/9hDeP5sxGFaMqcrta8/zkCtHAaNJwv05sMnzhyYzZeEQm8eLskucnL0mbRLtek9WVTfWEEITUJybTMfXOgrqq0NSZ4koz69kj+mDBoCJvbY6HzR9dO812aIdz0aqQQiTknqqCznPFwTs7u496Ua2gDzI9BzlBh4zKDo4iE2RQY4XKfl45MrXxayUY6hA8CVbr6tVnTfkyy2wz1Jy39JeBHa9hqdGeRY5bCq9GlbqXSMnC2apCBuTv/3YNiY8p8/jk9SRzEi3v3P5vjTT2i0nx+o+6VWy2bDtYtp/8PWbPJMRVJAmly+6Jo6Xf9JMf3wni7oF/XlX/uogsgJ8WkT8H/BPAf6uq/5qI/IvAvwj8CyLyZeD3Ab8Cmzv550Xki7/cCDOrjBslMNxSFUyUBUU215fVmBlM2r1CYWmxS95whByGtMrTOy+GJDHRu1nPKDGon/6luUfco8QXHibiJ1hmEDwNDWUhZE9LwThswfXgvuhVHG2Y8XztBwn4wlPjwCjoVDONo/uqCTSTCYvdKY8P5nzu8RHvPD3i8eEue/sz5pMJo6YyflCN+2vbjuvLJafnN3x0YrroF68vOb285vJ+TddbeTVnX/DOBY+jTabp8ha1JVFCKZpqCaDOnapd/+joyzjOIs8K7qVeNnEYNpJEa2SwAc+uQQ6m/4n2IZgGZdNu6LObO/X9YDxfv/1l0mTH/l6EHLY1iUBBgYEQ1OeSBn7bb/g+vudzb3K/6nmyt8dv+RVTvv3ygg/P7zi92VD1G3Zr4a39KWfrjK7g7XnDj3z5KbvTmj/5V77Ft15eEYNSh8jppme1XLJuO2azKY1kDhZz3jtecDgfITFyc7/ko1eX3N/eM500PHt9Q1U3fPmdQxbjGbGCk4slHz47ZVyNeHQ44vnZtddDEioNvVRGd2VBJmP6riMno3N6DdyNHxHFtNy4P8ywh7JSuWNXLsFcraBnxl6mTUoSTIYXzFLVJg3ZHuqzktXQcvIaQnApVRwoLnWLYzwj9ck7he/FAncpthedd3bFRiUweFcXTgIDRWVqvIiBs6ExxunJQZmlDwqr2Z4jZwuWqFrWIFu+OjgaL46AFQYCHYbQ5mSA2H9HcJ99VUKEOpuFM2SbO+neIxmly73FpKJky14782K5aREi1UgZjZTlnSBiUlZr3Pp0yP2djC57Cbz0f9+KyNeAN4HfDfwW/7X/EPiLwL/g3/+TqroB3heRbwK/Fvirn/gaWPExgEVplxehmR4TyYOf6uBt1FBTzOGLkZKj33LxS5CPdooXC1Qtm9tvfmljCZ7G5YIsPZjmnAhenMRb8jV7wUWc7/IbjKtXDFG7w5rIcOMhE6QaTuYgiuZEq8Y9juqKnemYg/0Fbx3v8+jJLu8+OuLx8R57uzMm4wlNVQ0IKqXM/arl9OyCi8sbnp9e8sGzM16dXnN+dceqbWlzR8qBLjl/HkpKKSi9ZyfOb7OdHh/V2tOzJKpoyp9eMzltU8qi7gkPFqVJovyQ8i6/oHY9egxdVAghmN7aEEZpnEiEHBmle0btHdLUdOve7A/UsqO+HrPz+R80tB6jjRfDZJ1aDgmXWhaZZSWZ9z94zRfee5O6qdnbU5p1ZDJ+wntPO25WLctkm+Zm2XHyasWvfW/Eb/3SMS8vV/zp//7n+fjimokP0E1tpsmJSRN5sjdjZ9bw9uEOh/MRZSr57f2aX3h2xkevb7labZhtOt47PuDtx7tMRyPqKnB7v+HDF6d0Xcvnnu7x+ScHvLq+ht4ykT42JGoaMtJU5HZDalty35NU2BDJswMLDNFskMUPx5SzNRBREUOk7buhQCmOXm0mSHCqS0nZ+x0GXtm45xC8/0EF1WLd6zvHDwPfHuRcZrMaUiVryeFATcGCZ19ly5f29lK4rISSf6IIVbBMFb+2WZyS0WJDa/LaYQiBZ8DJi+QBy54f4the1efFOuDSchhs96aU9+CcfvNAKkvO3nzk0kuv0dn6t88nmDDAIGn0UYtCKja7wQ4LiZmcoEqBLEosOvhPePyP4rhF5HPADwA/ATwuk95V9aWIPPJfexP48Qd/9sy/9z98rj8I/EGAZjz3sUfYCTrwRRb0SkFPC4HlwaLz4h8pDzawGkoK7gYzWLFscNvzm5TKSsOn63gQKjdRyV40yFtDHjEk4yDR0ERWcojGj0WjWXo1Ls2cCS2ome1q2QymXx6PGnZ3Ji672+Ptp4e8cXzI8d6C6XzMdNRQhUCIphHuu47buzWnl3c8P7ng/ednPD+55uTimpvlmr5L7vGbHa0Zu9w79+yzxTyDwK1Kiw7KCjeJjGZLQZPa9cwI6x4iZlgVYiRpP3DSpq0FV7FSclJxzo5UCoXmSwwlCwnW5iyFSoFa7RCdLq8YVz1tH1l1ZuXaJ6PI6sefpzl6w/lVbJKQitNWPCh0OpUjJjV89vqKs9c3PH50SKz8mI4d82nDozyly8rdukND5Df+yoqr6w0/9tWP+MbHF9D3HI8rUjA/mWklfP/n3uR81bLuEotxw1v7c94+XjCdNlzfr/nah6/58PSGoPDe0Q5vH+2wtxgzGo8Y1RVdn3l1ecX1xR3705pZt+Krf+FPM1+8zW2u6cWUT7GqqBq7rn3fu8xMEc+WcrNjgSvbphd1Q68QLZC68iO7rj+IcZid10XEbYSD899lH9oaeSDfFKf5vJEEp0OSuhvmA95BC3VSHsPz6xAE7cx2UcGD4GkWqD7UOGcKLVMWnLnoFBUWFI+Sclh0OVNhRfbkRlTJA23lXkIaAr2bltWYTNhigKlxcko+S8TjhhTKxJuJnDc30cLDbL/w8ergk6GYq5qHGQAUh0YNpC5Tq7hKzVxEh1T+Ex7fceAWkTnwnwL/nKrelDboX+pXf4nv/W24X1V/FPhRgNnuIy2SvDJ+qyg6zJ+kTNqwokJXKgcY3YHFAEo3ob1AHjrZor+rkuK5VJLgk0okm0SqOHpp8S1QcXmgoNGDuSPG4DhdghJCphcLHipK5ZSHOE1SVTXzccX+zpQnj/Z46/Exjx/t88bxPkcHC+aTEePRiOA655Rhs+64OL/nxekVH7085fmrC569OuPsdsn9sqXtkiMSQ7pmK2sHQ0C9ycbopyoGnzj9QB9aKtqe8hbPKDuwLLgWH2cKP9hnbyrKxBiIjmrKrEH1LKYclJRJ6GKFXJHSKWYplXrDVBgq9CU1DoxXF4hkVsuWddd7ezskxoy++OtIQ39oHhqooqOvrQe5I6dgQ5ffemOPvZ0JV3ctd23P4e6IvdHIYk2GKihtP+b0asVf/7lXfO3lGTfLlrqyw7Nz2mzeVHzX8YIvvHnAd5H5+strnuws+MIbu8ynDS/O7/hbv/Cc05slMUae7M852J0xW0yYTMeMmkhMia9+dMLf+vrHHIyV9PzrnL3+Fk1TczDbYSNHJCI5JnKIdi9TRvuOnM27WYIQ6ppNMxuaWqzr08kDS/CGQcxk2y9t0RcTyb2l8EWLKX7QFt149KwSbyOvS+YYHCVnsSIz1m1bfLXLga4DhVDWasmDsv+nvorx9SsDegZsYLMj1q33vgXYoKUb2ikKl/IF9xzCZaeb7Fw8GU3qVhgWLLNTfZ3qVuXlFy+7/lizm9flkiHaz7feKJ7FlFqXOhxyMCkKfYCqqFrUDwFM2GC3xnsPgrgiqwiBf+nHdxS4RaTGgvYfV9U/5d8+EZGnjrafAq/9+8+Atx/8+VvAi09/Ba8IlwseBHLytE+9qm2/maXwVepdjzoUGe1EdFRXUikpfyeDLHDgrJP6pHUIRAqRJp5aBUr6j/mRBCEnyhgQD984OlFCVTGuIruLKY8Od3jzeJ+3Hu/z5pNDjvf3WCxmzMY1dQxDMaXrMnf3G168fM2Lsws+ennKxydXnFzecn19x2rdknrTyYpnEMkF/aYJhzKkIOdte78EcY9vT+vUDhZDqTZvL4gNZRW3rw2UDWbuitFRk5n8lEzEoxxKsYgdvJ81+2Fnrm9VDI7ng6O8TOH5M7iUxtJ74zczvZpaYG9zRaBis7lj1Sa6DBoqwuIJzeE7SE6GcMQWhydltpkFL3aDuDN/zMobu2MW8wk7sYHLO/7fP/URuWv53PEOCWW16rhbt3x0ecv1zYauT/bcsUZE2W0qdmdjDicVe/Mx83FkZzrnjcMdJs2IEIVnZzf89Nc/5HqVWUwnPNqdcLgzZmcxZzGdMK3h1dk1f+6nv8nm6pr55oTLD/4mh7PIfFzZkNj7U3ZmM65kDmR6d1TqU0due2vCAYuMzZy+aqw7TwOVu17aCg2mD9c0FAyDCClHelxx4xSfBDX/DgomsvsrCOJ9E4JSJXUFR/GhtLUWxedsemGu2A4kD2Zlbw1BzadFbR0/1X/PjK7snnrgtNXvo/iydw7bQZPUteVlDTji1aiMGpNs9W0iqJl7FfmgdU4acMtYd245UgrtqYqvdYbaQPaDpMSQAAM1NhRPPWYFH4TRewxKySfC12GwsAjYrE6T/eIMg7/2pzy+E1WJAP8+8DVV/Tce/Og/B/63wL/m///TD77/J0Tk38CKk98N/OQv+zpeCUcwHbebKpWiRihUiNMaKlY8NFDh3h5qre7m2SFDIA9YZ1R+EJhT9unvXqwoSUEpfpRCiLmZBSrcmzsagx1jYDYfcbg3481He7z79BFvPD7gzeNddhczZtMx46amihUIpD6zWq85P7vmxfktL1+d8/7JGc9eXXJ2ecNd27HqMqFPoIayGvdSsZQs+Iq3RVd0p9kPlgiGblV9MIOSw1ZGaBsIb/cvPKG4bUBRfpTOMrsnOlTlMf4uWDro+h2jU8Sq/KFcQbEhqtYEZANYAbfC9ZJLLkUry2pSecEopBxQenb1jkBl1q2usglS0Xz3DyF1bXIyPzBxmq0k0sGvWcpC0ETIMK+FH//P/wTvvfF/4PDNz7E7G/M7f/Ad/sYvvOa//qmPGE+FLxwvDDHmjMRMLZFZHLFYjNgZNyxGFaOmonJvGiQwHdWMG/OS/NpHZ/zUzz9j0yvHuzMe7U3ZXUzZmU7Zn9Ws2o7/5id+gW98+yNmd6c0L3+O7v6Mg4MFoxiJsUKD0K2XHI8vWFUVKyoqMsv7WybjGo2BWEVyTmbLW80gRuogrlYq9NdWx23gpVBh7p3hVItKGpQbRckwjJErz5YT2VUVG4sJZmdqqxGbVwmIUkZxFfpL3EWSnAnu9248+7bYF8SkiL7MXIlimV4ZgvKgGdTeI2a+bBYYWx666Ncb8d5nUXOdVNwyIkMBYzmT1aYrVZ5xFDWJ1Up8/mRZn2IiikIllVqZ75ahl6EcUIazhAHaVIGY/fnM5MTM8Hz/eoLkVOz/fKrkNwL/G+BnReRv+vf+EBaw/2MR+QPAR8Dvsc+jXxGR/xj4KkYB/dO/nKKkBI4gNrNNzHzE+EqRInseaG9LQUor+ZCnDENpjbMWG2pbRJEuzh4uhwclUaFM8I1SRoVlUJt6I5VQjSoOduY8PVzw9Mkxbx3t8daTQ44P99lfzExXW1VIyKgG2rbn7m7Nx88ueHl6zauzSz56ccHzswuubpcsV0v6nFx+5HSEa9gBbw1PxiN7wROJw+TuoavTK9aeY3mnpbp+K7i3igy84pDlxTBkHnh2gXsiq+ukUUu71dNej5SuKgnkYhZUpCXCNp0NNgc0xOAbM9rhKd784QeAZKhdgdA7okGEpl9Rd0uyuLWABCQGuskuzVvf66m4oz0DaVYsY9uYEbBRYbm3BqWDeM/f/NbX+bN//D9i70vfx2/+bX8/46bmB7/7EV96e5c/97Mv+Cvvn/HWrObzj/b51V9oGMfKAkkS7vueSiKjCupRJCXl5HbDznRCUuUnv/GCn39+QdNUvPVowZODGfNxw8FsQhXhr3/1ff7KT36F18++wfj8m0zqHpXE/u6cprFxZHVt8zxXdxvizWums4o27jMdBfb3j9gsL4l1zWRcE3Om1TXS2BxLS1S9gC9mQGXCTgumNvPUQZEkQ6o5UZZLDIEYrZ3eJpFbVmbCCgvSnSp92UOOSgdmUvKwp0pXrB3i0GZ1fr2oQYQQnX4odKTTZpU32WXFLRls+nuWwhtbDcwafbaHv+mtS6C16UchuxzAqcDBZlkzZTBCWSs4Su5T+sVUm4TBCdBisJEuhfYpaz9ly0xLk9/DFvkoNlU+FHpQE6KG9lOyQnrpoha1Pdv9MpD7O1GV/GV+ad4a4Ic/4W/+CPBHfrnn/kV/QylCYkXIaCoHScVQSbenOO5h4EFc6goJYWiUKem6vW1bSaruqe2L0C6soRHLLgN1FWnqyN7unMdHB7zzxjHvvXnIk+MDDg+sw7AZNcTohbeUWW86Li5uODu/48OTM569vOKjkzNeX1xxf2c+HXY6+xv29DRSWbuxOLdPGKRECcwZLWWCS2nUlTZRGAzzwTaXaV/tICgxVrNrmSPDb6tnFpZSSll6tt/8Gg3P7BymiF23YlallCJQskXpGUpBcgLWAVaQkuO2rNbAkfzwzSn5jETvMlNfwAoHq3t2q0yfTFdsds8V4a1fAaOJbQwJ1luqYaDNjHfcHn5NE7jPgVqFeHtGVmFaBb75F/5r+vNX/Ibf+SPMd/eo+prf9qvf5Td86TE/9/yKbz275fndhreOFiwmNUlhdzbl0c6I2bhiUgcqCdxuer7ywWv+2teekYBHhzu8ezTneD5jNqmZTRvef37Gn//vfpyLr/00/dm3OAgtB3s7bG6vWTw6QqINVhg1jWVHIbIOwu1yCesPmM+V/ZhpwFzuKrMhEEnUsyl1NUWybteJRVRvG3dKQ+UBSoTinV5J8eJJRhn6YZw0D/LayjFFGWaC106GsWSYj3Z2EGRBXUsMJxCoQvKsWIcitGR1fyBbf8lRRRTz0yl1c/GDO4q6504pVJqmv6DqnHvUA341ZAxeAwMs49gy6lmsDb30fhR1Simul4yd8hrq9stOD/bqFhQF8TsnrT4lXgvl6kxB5cCksAeScepSfVaFUs4+cUD+aY/PTOekYq2lTrrZrD9fDBlctV94bNdjB0v1cy5TEoPzeQABzdG5XncBpFx8pZpULKYTZpMJR0d7vPPkiHffeMzToz0O9+fszGZUo4YY7EL2fWK9anl5fsHL0ys+fHHCt1++5tn5NXeX99zcb2jpqQW0zqS2ePo6vZBkQMqZUoQtn6m4+BW9qKDJ2t4rEQglk/CNElz7jaspvONNUNfHFpkUkEtBCAoXb9asDGoBSp2gLBo/+rctEt6J9mCjueTABytv02E7K11R7Vx4zj3ezuQzKG0xJzcGwvnF2oP83uoFUTK3m5bJuKZajoCa8bu/ylQSUhG9Ql/UBmWTlUyk76HrE53A43Hkg69+jTfeeoM+t7zz5hOOYsern/iLzN79EjtvvUuX7HP/4NsH/NDnjtnkxP0qsUmB490R+9OKddtzcbPi589v+faraz56fcVy3TKdTnj36S7vHS7Yn83Y36k5vbrjv/gv/hu+/RM/xmT9nJ2Q2D/eJVTK6esz3tg/pKobqiB0bcc6wHw6oQqRqQ9UuLm7Zrz6OovQQx9oRmOyBNpNT9VEJqMxozAaqIJUAAIWIKIHiw4dOvFM4WBJXIwCOZk1sthkpzKgQLSYtFlh0Dh1H6ktw5MBDhackgNrLgmOrkt9Bh2WxlAMDmVD+57WEH2YgikwvK5pwS5nL1iKj3Pz5eYHVCVCh8+rlfKSjpSL7ajTRZq9E1LKLFXnz7MdLwGnLqQUTQtF6Bmea88tSbbnyJ7tlL6FWDq6HUgGV0QUsga1CfA2uMUzf3/fqP6dE7gBstmHEXNhzxjaykEpXgTFlrRHyX02J8DK0vYGWxA2VgyCZCbjEbvzKcd7M958vM/bTx7x5tNDHh3usrdYWEdaFS0QZKXrOu5XLVcvz3l2csUHL055dnLOx68vuLm9Y7XqfMqHBdFGzVckqFJNhN29mrOT3rrOYrTCJoYoY+WLaDh9MbQEbhxfTmpHHVktKIp7lpMHHq/oWCtxEx0J5IRPqk9ECdQUFO98p10685JAXaZniydKKQ7jKd62TiB+sNi/wYzgxd+vjaqyDelGVlJaqgOZRBOMBqvYIh5LK+06FBQzSomjzUtvTorEEG2gxmKPuHtsG0KUTgO9ZKd64nbN++cRAlmt4/QorPjvv/E1fsdv/WEkC+NJQy1Kv7ym/egrnJy/JO+/Sdw9pE9CnxNNbLjfdHz86oKfuLzl9G5N3yfanGlCxWI+5u1HO+zOZuzORxztjDmYj9ncX/Of/In/hL/1l/4ii3zLGzsj5gdj9g8OuV9v+PbHH/B4d4/xbEwVK6Jv5VW7ARHmU5tIP2pGqF6jt8+RpgMZMxpN6JL5hWsMTMYNY+sRMVmZDmGBlHRQRzmQpohHgAGRIg+HbngmOmQ57tzhwTN7UC5jyYqqwnxzrGiY1Tpf4WFNqXxd5KK2drNaPco89QO986HWeeiEhdrv6QOTt8IzD74jWtRKW8Sqju7FXSzFDyN06whaZHnWVm8ZZOV+EkV/NUiUMRlikiJnLIq9UlfwWpvIoFxLOQ0AKpcDitKEp0NNqQxM3p5iYmv7Ux6fmcCtWHUVN5cRxWY9Go6m1miBIeXhZmm2VL2VjCYYT0ZMRzVH+3s8fbTLO48PeeeNY954dMDh3g47ixlNU1FHe66UMpu25/L8lvPLaz4+ueDDF5c8Oznj9OqKm7sly9WGtvMBoQEaL1Ta6RuoVIcOSA2waoX1SQ8pemu3Ba/oHFbyE7UX4+GjF0VMl4pzt8b5GuLBsgrnqotxvIrZvFZu6qQYV175iR/cGtPgAkPiZ37kDKhJKJvrQWEpFCUAAz2VH3BwBdmX8W4RRxb+OuILWgt6k8pnWdp1TL4RahFitsBuaE953F2zaC+4urslUHF5u2GVMtVil04iOalRX9E0ADlt9bIlKpUvoyYmEV5+8ytcXl8RNRArqKualIVRCNze3NJ0G+ZpSXv9kvsw567a4fVtx/ntHTmbX/avOlxwuJhR1TYqTaPJz+ogSFBWN0v+/E/+NX78P/uPkKtXfP7RMbu7x+zO5uwdHvLy5CXvf/htDnZ32dnZpR41gA4jYUWE1aZj3V6zWq64vb9leX/LMRvCONK1ayKRtmtpRiNWqzX0mTbM6OeuXPCmjqwyZJpKNN/34t3iI/Y0Wx+EZHOVFDv37fqJrz984HXG6w3bXgijITyYqo9VE1MjSQjWYo4BChtonRyVBu+5MDWH9QCYH3WRLpcmnuBoVl1iWCwp7Jh2PXpO2wPJ/18KmqLGdZe+hRK8tyZZDDJKUB+AkiBY70PJcE2j7j0QAVPEpDKXFq8v2NOo198KOJLSCERRsojZL6sOdR7r4C7DuWWgtD7t8RkJ3Gq8HAFSmXJuQScgPjHaJ7qoBbFpU3G8M+PgYMHe4YL33n7KF956wluPDjjaXTCZjKiqxgpp2rNpO1arlpcvL3n2+pwPXpzz8atTXp9fc3FlAbrPvRmdB3MwKwikcNpg78uTP4q7ujEhVjQJXkHNwXaCFg7Ldeq4J3fhfcp0HdPcyyCPoihjgjmdZaJzcOK0SKD3QkjpyTQuOZnxzjBNpzgPGnIvQd24aeuUM77fZzeGYrRlKzEUWsU+ld2uQTEg/pq+WNWLoarDRrISmRVDY4gD4uqyWe1WRaImgRGJX3X/FaYkZNTQbRIdJiubLXbZ5B4NlSO6nhjNk7wgf3VVgw2QsM86zWv+2k//Vd57601W6xWz2SGhsnbvTq1A2LaZflMzQnkclkzWZ4zShLceP2K2s6AaT8hBODm/5/L6hj7DxfUt6/sNq7t7Lq/PWH/tJ6jvXvDu3oSDN77IfDZhb2eX0WTMN775TT748AP2d3bZ39tjNBnbvM+ut2XgPQp3qxXnlzesbu/pU6JNmd16Rd5p6HKCOtD2ibv1NTnB6eqGkydfIFZGYSStrLDmSo1iqyrlZBMlxCLJ8+DgslIbwef3NFrgLfRKkQbiKLmou8R5cHK0gl8224iiyhIPZEa/BMcQJltNBWH6gZvE+i2CgqQS0O0NlIKzOQXmki5QBBqC8cVl2G6Zr2m0oC1ELbRK2NZEJG9fp+xBE7dkOsfwURXx0Yihd811svcgwtD4Vyx0c85eH8q/WE449HeUD1kyV/HP4H0IQzXg0x+fkcDt3GcIXunenm5RhMmk4XBnl8fH+7z15hHvvHHEu08ecXSww+7OjFCZNlrEUPR63fHq7JrT8ytevrrg/ecXfPzyNacXl1wt16w3PaWAg0RTdfimj/YkzqMVPax44c3eY/LqsHjwKy6E9nzi3Ws6zJKrpKTwjkZdiRHUBhdnn1OX81Z4n0XovcGgHGNFqkgQD0wMEjspqFlMGdNrdqN59TTYDopQ/EKK7hWBEF0aaMvFzg5rUiCb9tQMsmTYa+A45UGKp7J1ZAzeNu+v7FPn3dgow6CCl4hEZRQj33P/ivfCBRzuQMq8PD3n8c6C8SKyqmvI1ghFuRbJC16+edRTTvVaQkTZvPqAkBNfePfzTJsRMWfIHVEq6qpiPt+BUPHi1UtevXzFZm0+Lm3bc3Z1w4dnV9x0SjWdIdT0vdDljhiUxWTM/nTG00nF07crRs0XaUYjxqOa0WzC/d2Sv/EzP8Or1yfsLhYc7O+zmM6o69pij9gcyb63Dr7VckXImVgHOoTp8dvsywl1dct8MmKjiboZWYEuwv5kxjf33qQTEE1ktUYjBTMWSyWIe43Eu/3CoN0M9CnTBFv3rWcAZuwm2/Ulvii0XGMPzj7HzNk1KzZbv7vRKFm9G9BMrooooM9pu7eGvgxbG4NnuBciPVFzqYqvV906DxZQMfDydaTvSwDcKlz6UACPc+ROMWppR/fPHNxvpQ2BLsM0gGjvGnDbM8lXv8nN7VAsyhMJ5tCZ1N0GJbhfuX2OEOx6JFfLFADnLU9GpeRtreKTHp+RwG0XvqojO5MZh/sL3np0yOfeOubdNx/xxqMjDvZ3WMwnjOoKpDJ/j65jtew4u7rk+aszPnz+mmfPX/Pq9IJX10vuV50tEiCotWtroIRQEqbzrUJ2dOBTNiQg2ZtXPPiUWYIuMh1GIA1hLPuPeFB4pFSpi6mNUsXIoDfFioxmGamurFCCeyqEWCR+Hoxcz2xU+LYL1IarZguuqqaxDd7WrE7HZJPGDcNapSibxGVTD6bhlG6DKB508ep8tMCgSlH9FiWQSDli2B4yRUEzFGoCrae9VbmuUamIHOQVvz7/PJPZiLqekVPLm6FmtNjw/umSl/GI1FSePZhSYmgq8tOkcuP6UkwbS2Jz9ZJ33n6baaEmNBGrKUkDX/vGt/mFb3/Ii2cvub69tgJxqIgxMJ6MmE0mfG5/h52dHWbNlHo8pm4qmqZi2jRUdW2Dd1VomoouZXLf07YdH3z8jPe//T7tcsXx7j57B7vs7CxoYk0VrH8g5kjX92zShru7O4SIxJo2bTj43BeYvvdDvPPhn6HJDTHaAOZQVTYcVyBUFd/TrDnBptBbae4honYKzwOE4DJZpwhsPJ/VTVJWKINF1Naj0RceWMUkntGvdbGGoNz1bAz4dvjv9j4IhnRFzfc7+cIZfrNMOsdpkdI8VYCKWFaZXPZXKhqlo9NqPT6ou7PCYKyi1V5wkyyx92wNakNd9QHosaBrbfbGgW+ysiLTOCdf+UAUs6AuvJIOVE3p+u7L9IesVrNDGBxEsyNzLQFah32Dg5ttsf2TH5+JwL27mPBP/+N/H2+/9ZjjA2tgmU4n1HVlXFFSujZxeX7H+bkVCz94fsr7Jxe8OL/g+vaOtGlp+44ggSZEtKrpHwjojX+NFiSDQLTUP6t1UAXnpIxiKCmgB6wAORe5YkbUxoGF4A0Ajp5acSF/Noe2YpQjWZBop2/fp211nAJ8SoHD0K8QqTAPhUI7FAoliSH/iJvZiMnvKr/TCoMOPvomLp1r3gtgi0V8MWmxmjUCKJes2CNyQl1L7VSOa2ezmovfFsEVo0wAr9Zj+morLjl34oRgEHMyDElp6Ph7+IBHuyN0Y8ZUsampRjV6s2IdapZPv0h2JUn0jtoyXKE0+QycpdhmmlSJLInFwT67OzvMdna4uLrmp77y8zx//oLUJxaLGW89ecQXv/AuzahhPh4zn05Z7C6Y7c6ZNCPLslIidz19n4ZDNylsug5NPX3f025abm7veH12xouTE7TvOdzd4/DokMWeDTqoq9ooo6xIH1ivN7w+P+PjF69ou47RqOHp02OePnnC0eYZ704TU53apJzJCAmBcVWzals093zfYsXXupazvraDJ1amhHID6ezFseDpfDGs7nNyKoVBXZG8y0XEhganUiD0daESvFmnBJzSrOI9xlps3CzbyuJNQR6MhqFl6oeJI3hjun6xa6BS6EpFKjeHyg/W4pCFApoMSHnDTshKVVf0igEaEaJnmGVaVOlyDD48xNZ6dvdJJeaOiZgLZqfiE+8NmVUl8xSvs4kPhyhWGRhTEB1cFQpmoA+z1RoK3UOJE6rDBJ8yfeeTHp+JwP3oaJ9/6O//e0BtyvbyfsMHH7/i5OKWFy/P+eD5Kc9ennB2ecfN/YZNalGFuqoQyXTibd4x2iIUq0oHT38q75nPwYJjZQCaOpoVplWpLbiobAsSVjDcclDi3OkwW2Vo1RY6vBad/AR3igLZ0hjJvSJUleAeyWVqdrFFNTrSqvkZpQ+2OGo/tbdOfk53RGzBBmttLro+Uwe4YQ0Mk4FKp9cWMDnVIwHVvlRI7fW1xO/t+V+Qs1KM6tUPk9KqzMAtllg9dL9hPLctyuRVqMT3yxnfNb5DYyStjFvtlxsuru54eXbJyeNfTVdPiMRhzFxwzXsQQSKO7o2iCRppJbBXt3z3930ZkcjHH3zIz3z969zeLdnb3eEHftX3sr+7w2gyZtw0jJoRk+mEphl7ZyT0fUfb9gMqi1XFdNwgCKv1mtVyxWaz8d/ruLm94/nJCfdXN4yamr1Hjzg62mcxmzGqa7IEVusNJ6cnfPzyFa/Pzum6lvGoZj6f83T+mOlkxBtPHvPOPuyffI2d6YJJE6krqw+sN2s09YQ6EqiYVco7/S0fc2iT4T14Jb9t6sZSJSDrQH2Jt6obEjSfj+ymUYqK1VQGqVoBkVLuZPaRgraGKkfnBjTF6Q5XU2h24OHPBzZ4xBtpkq/KlC0jDF74Ln0HXd97d60FQU15+Jzmf7OlHIz6CGy63l32DIZVlMOhFA7Tdh8kr+Bk+9uAHQgN2SSVYTuYoQAP1S2SNmdKsybuwWW42UEEWznlcE8Y6kMhmALONo4rYNjW1D7p8ZkI3JtNx1/4y3+Lbz075dvPTnjx6pzLq2vavjfE4Bc8eDVaxERlWXu2hYrSDqD0UUDdWMlNqYIHEruWJnlKKVs13nliHRoL8EkfbnXqDQkmiFNzVMMLgYjLiCxgRadXbCkwvKcirjdpkAdTxzOxcI7ZGm40BLrsXhLZaJmuoA9RRCylf0jZKEZJFJVCMXMvKWlRctgC93blbC3H6qlwkOgt8Z4OS2mPLos9Uxpc1K+7OAJLJcjLFo3E4u5VCjRAGdsUBBrgbVnyd8u30E1H3ydImdz13N3dc35xxYv1hvboLZpYirNepGY4Fwc+Vj0tTZL43kPlVxzM+fpXP+LnfuarpK7j+HCfX/MD38+TR4dGW9UNzWhEVdVoNue9TWvzIoMIo7phMZ/bIGtVNpsNd8sl11fX3N7esV5v6LqOGCOr1Ybzy3NW9/fs7S54dHzMwf4udd2w3Gz46MULPvj4I56fnNB2HfuLHR4fHnJ4sGeThGJFVVXEOjCbTJlefMSudMwnE5rJiK6zclkcjWm7lr5PVHXD3e0tR93HVPUTVDtL9VW3CqScsWlKpZBdaIJSc6B85aZsbhxVLInVKQ8vChY5ZnI0mnOxm7AAarbKAcl5KIBaCelByU1sB6ps5XqoupyUYX0mV5DF0l4vVvwzsUIZJs62xhEsuAZ5QPGpUnxMNCeSqBfQSzOfW/9mddGBbVQNwceSqQ8ALvvP5ZHIYKZmI+N0cBx9OFQlI/aaWYf3FNQAYRkyUYkpdAbaM3862obPSOD++NUZ/+r/5f/pO7FUgl1yR7RA5QvIfHx9BlyGSmwkAcHUCw4LttoidTTmC6uUu4u5v/lxlJuhA+9nQMIkOhpkkPm4IModyLzrCh+agAVY6+ozVGyB0SkREQ94XsBk65lgCacHIc1DO3DlgbaK0SwuS/DX5Nyx+zkUHtObUsSLn9lb63u116ujS6PEFc9iBkG9N9yUc76oRApXnX2Sh2l1/ZeGApNtwso/YwwglW3YkBgUBEkNlYlC0sCINb81foubVyfc3N/TdS3vvvEm/brl5m7Ji9NL4uczv+n3fJWf+ZkFzz/a98Dth6K/D+vN8mYkUaYa+Pys5q//1Z8kkfgNv+7XcHiwz3w+tSymN0VKyon1as393b3d9yoyHk042N+nrivavmO5XHN2esX5+QVnp+dc3d7QtR11XVHFipvbWwrfL2TefPMJTw+PkVjx0etz3v/oQz56/pz7dcvubMrx/iE7iwU7sym7ixmT0QjFWrCrqrE27/trqtVrmv0dqumMWFckVfr1hj4bCOnb1sbOrZcsNRF2OjZYw4xdE28q8btp7eZucZp1i5RLdkRZP+Lg1f6+LweyCppLpul7BqUeBlMXp72yc3G1TMmGgnO3fviWQ58S1JxwyZYOJy11l1Jj8dxQhob0AVQVx8BMea+mkQ4FgalnFf5+umwB3TziCxhwueR29Xv8cSWW16mKqCB5d1DxM9LgBcpcxioG90Kx6xulFDAfXmN8j7nm3Q+HoMWb/pMfn4nArbloiD09z5kQHRkGb/rATmBxDw5wbbMkD5DgbDUFwFpQzkPalYPHbU9NRCAUflRKEc+DUwikATXagig8clCzssxaihR2Q4YTU7bTQrIfRiaLs9FeWhC+c232WS0gJy+k1LLljqsqblHDcD+VkJ1VDnbgpGzLL4dtUTAG2yS5NLswAPFtF5tAjJVzcGbojh+OODIqShYZUP+QvgxpsVnaeuBGhykkYi78lJZn8ezih9oPkLtv8/rlNT93ckZdwySO6bvEs8tLPu5v+YHfC+88XXOwc8Wf+jNTVrdTSrv9kH/6YSwYnzqfN4zqDX/Xr/3VzGcz2vWaLvXG62ImWKnvyTlR1TWzyZRmPCLUka5LXF1ec3p2xsuT15xdXrNZrSFnxqMR4/GI3b0FAHd3S7o+I5o52JlzeHzIJvX8za99k2999BGXN7eMmprFYsE7T3Y42t1hsTNjOrG5k1Vs6JNXEVQG7v7teA+5pRpVPlVGibGiZYMIbNYbNquVaY2l5To+JgVP8cXmR9oYLKfMcrlvfjCH7aSkcuBbZWd7KG6lncXLBFOHsL3uZXL60FYuwTuNHRTYMsIFJkOtRj1gb3sFyt+79E8imtwzP+BeHhZWg9hz9pJ/0UzJ4X2oPXevtj9KvUbU0LoqZMoIPbWZnF4D4sEhUOiV7MV8zQXWeEYuVmytMFVYkm3fBSH4XjSQWexhKfYTTrkU8KHYNSj3wA7aT4+Zn4nADeBHs22+GDxo2GldukGDu7Lpg0Vo99wQTxTZ8l5SODIvcogSo/mBiGuEhok4fpqak56N3ZKgPrndApG1wXpTgeOGgE0Cie6ApmqFC5PiiSNix+j+HnBuCzVEavP87POrGLqvPB0rsiftbRajhLClOVQQR0BaGi7ENeieKnfZPlMQoVb3RXHaKLiypC4yP+/aLJ1zZZMVZBC9my3gk3+w6w5+8FpJBVD3gAgmCVQcUTqyyIbyK1HWFy+4XC05uV3y4dmK6bgidx+yXvWc64bjf+yez33pmPb+XSZ73+B7vpz4Gz/5JaPGMmZUlHzOHxCcj3pvFqg10qeei4tLunbDfD6nrmt/z0pdm+9iCIGu63l9cs7p6RlX19esVytUMtNmzOffeMRsOmEymRDrmi5lrq5vOXl9TrdOTFxp0qvw1/7Gz/Dy9Zmtrbrm6PCAxXTOeDxiWlcEhLbrqWJkVDdoSLZoEkiIni20HMmS09Udqd+grqgwbjVSh8hmVduMwm5DPWpI9cz9zkG1p8/8Ymok2EzPknEanW26/j4rdSnC40DEwUExYip68FikpN7Vl13yZvHV7RpKIPahCiEavZZTATdhUK2Iv0cLutlltELvPLKpP+w3k1OmXUpkrE4l2WSERlHY/hFwI6foOm2TOhaQpEAgoVoK6CbbtUBpQA8pXaiexaHUMfokLLywaCqWLDYRqsiJS1MQIt65XVB9AT4MVKr6tSpFWH2A+a2D85Mfn4nArZhPyeAjDWhKbhwUHnDGHu28aFF0w0UyFxzhaRByMmtOQ3wWmDOGMiyQFXkUPorI/taaFALTRaBfmtGRSfpKo4mnNc4hJ2vfZDsqy3yibR+44cwQ7G1RBjGfiOAc4jCVXmQYCEHWBzdZPKhaNWjQU/t+NpWJOcH5lvX5ezaUwT6XoTEJtnQ9i3RUjgAA3ohJREFUq7M0zz1DtvP43KPcKRCRbQpY9C+5bD6x5y/vM7tKJbvpRRMqS6nDQ55daTQRuw2XF7d8+OqWr19eUu9HPv/kDS7XN8gX7vncb4rcbx7T1Ke0d9+gqndQvkgZB6doGTluC0mCBfP+iuv7RCU1OSWqqqZuarNN3aYs3N3dcX15yXJ1jwD7OzMePzlidzYjNGYL2rU9Nze3nJ5e8OLVxzw/P+Pi4oblas16tTStO0LbdYxHI+bzBVUUqlFNHWuaqmIyrtmZTtmZz6lHNevVipvrO3b35lQxsuksawxVYHW/5m/+wtcYVcLj41sOj48IwN39HRmhDhVZO6o6MK7m9DkjkxlCsuK3GqQQSsHbM9my13LhotnSeQMNyTBuLyvEurKgmZU+qXdB2jXfjjYr/jqgHrDMdMoBQjDLB9+xQ/aZcoliRYLqb8CzyFxkcWI0RnCqJbpbX4/TQkGRUDH45/sszUrz0NjUm/DXp9Xggwp8WzjYcXn6oDApiLcE1z6VQ7aIHY0GHbor1a2ONW1xueu4C42fPVrbts+erdq1ydk6Su1Y8sLmpzw+E4EbnCctSM6vWknpxaIOOB+lnqIYdRoHJYiw1UgH714KbgJva8bN27FxZeqLDFck9P4y9uqRPgeQHuPZPb0T+3uPtVRRhoVXWsPVCzEDWsh26g+NO2paa9z8KstW9QF2uFQYwh7aj/2QqkPh87zhKPv1KQMRUh64+8HBo7TMK2hJ0/z4L34OKiUIA56yWTeYF40KXMCuWdGfluKMaiZh1p22GUCksu+JtZ8HUTTajM5pn9iTjrVM+Hj1kpP1hi+O91hUDZNmjL5X0a7e5rp5k9n0x7i9X3N5Vcz3hRhLh1lpuXffhxTYrBLLdkkzGtHUDSGa9hkSIdhQ5ZQSo9GIN99+g6YZEUJg03Zc3tzy8esznr064cWrE84urri/vadtLTD2ObHebGjbllFTMZ9MqUJkMsUab+rGKIAoTOua2XjMaNwwGY+oRhV9SsNUnr5NxDoMMExzQkczTvvIgbZsNhvoWyQL69srQjNhOtqhIXJ93xIXMz4+ec1J3rA5VGLGuOTSCKO2NsQ1/YUMqXALYxVUIn0oJeOtWiJU0eJosoCTHEhk1OjEIbIBwb8W6M09CtRVGFIKjgwKkIhTEOpP4Mu0gAlVpfb3k8pwBsQagzzimmDAMLkl57Hkz5CVGiu8m+Om2yyIoWZwpZnvvaKcMbdQNT/sAsr89YZ+smIHUbpSCdvxarq1zy0dnuVgRJzOTD5uUWW7hxyNFw28Emn59Mj92QnclqFshyCUIhsPAocjZ7wEY6DWgqm1rHrVm1KtdgJpmMrBMPCqTGMR13FqNrMdG9kk3F53BGpLEwv69ZMT0YFuUXW0j3rXlZgPCfZZRs6Bm5mONf1IUESt2aFUloNnEqWdNrt5g5Vny030Al/JZf3/RnxYWky0a9PnjAZ3iBOjK8SvXTlYIm6nWapJLnsSLWmbB3ZRlOgT7+1zGXcYSdnHwCrDhKFiSm9FWAuqMUb3mzHJYp17ppWwijWrtmdRRd6p5qw2Cc1ruF/Qy5I+/CVOLlbc3E95/ezzgL/HUBAMQ5edG0nw8UoIsmbaK5rumM9noFNy01BVJvPr+57UJ05Orvj44xc8e/Was8sb1usNberIOdNIJIdAjDWEzP39LedXF1zfXLG7s0cMu4xGDdPRmKaqCcEKnIpRXqMYqGOkiob2UfPO6PsONJPIxN7lhjFQ1xVNbNg5Oua733uHSX/K2ckJm5s1z8/PSNLwxXef8mPffMHPfus51FMu976L+TtvDwqMAGivqBZwoUNAAFMORayrNuNyPUz77LB/WNckLBsrP8KDaerRZOons1K1/TXI/xUbro3LB4O4frs0yxS22AOf4s012SYAhTB0PioBsjn/DVarkh3AuIrEqTgbZmyZXusHxiApENsLRaJnKNcGCQ+xpCT0Ifq6LZ3cZXvIACZzShSpQiHwS9m0dE6Tt5mMZSV5+Lx20z1Dzdn2FHj9q4T0T358ZgI3PBDVBzPBwbljtFR38aaRPEjAjPYtreHqKEJs3iE+OkmNy7X0RbyoKM43MwRd4+BcGqeBoD3FBwSgTHOQLXfjKZPd8OzodlB4OE1RRUM30RdVlGifC+8AFFOJmFWrSYjMfhKiZw+Fxy2F2jInUHC06dcF/70wJMwM1xJRou+aQnoIVvT1zI4gdlyGYOjNBlzYFBpCGHh5BFLuneNMoBGy8beibtGrgogVV82syDjoSjOj9o4m9VQqTGNkFGuWyzXf3CxZE1id3PPzf6Fl/3Hm0fGE24vfQbp7Y/hMkuyw0sLHExBXQayk4b7NdJtrjvb3SSlzenbBZDJmPBqTNdG2G+7vVlxd3dB1HXuTMVXEG2lshNnN/ZLlcsl6vaZ4w0tSUuro/cC6ubkl7FmXXhMDsY6ukYZJ3TBuappxQ11XpN6adVTN7jRniLWt2RFCaAJRM9/zG387f/fv/Af4yh/7P/Lim9/g9NUV/937r+nziONfeMVXXi9ZNnOO/64fZv9LP8hGyvQVp7bKmvUD1OP3ULfosDqFOCASije2RZQYQDWZooSSpWZySr7HIEabw9mHQJt6d5JUR6GFELNGk5Btv5U5kWgBOWzd+zAKsxpkt7ZeS5ZdpqMXClC1LHRbEUHd89r5ZtQQui3VItsrfH3RVhuwK/0RdsBky3wKWMxqU5SCbfRyGG7rBgzqGfz5oljAj0XCqoomp4JhkLU+BJOaejR4044yzNz8pMdnInAL9kYCzueqFdVw9PvQzAl1PhZL0SPi3rW2vCK2QnU40bACQ95K/gBbPH6x1RF+DMHd65yDCkV5WuSASnQJUKFKDHkqbQ8q2TlkO4QqEVqF6FNEivC+uKIVoJuS627dz6HUlksXlXo7smQGDxBFkZLWBuvkLAWVUDC4Q4nCR8cAUdzVTOyIsG63RGm8sUNHSUmhuL1pJhO3hRm7gPYp3RdEpXSmFaQuTsWIKS8Qfy5FY+D+7pbz61tevbzmZr3huyZjnk4XdFXD/eU5r7+ivPiwIn3vDvX3/hOovGMTV8W5csHLoXmLYBSyBDYSOX76hHp9x/39HX3f04xHdDlzf7+i73u6vrXsBri9X/Ltj55xvVzSrjukT3afoiHnZtQMhaW9+YL79ZJ207K3WNDnzM3tLeumZlSPmJLZX8yYzcaM64Zx07iFgaGvKlb0fY+q0HfOm9Y1nWTGSfny3/1r+OEf+RFSr7z9j/+rPLm55OUv/Dw//h/+Mb7103+F8y6zZMIX/v7fT3z0jknPPLBE/3fxYSoF/OjNSkVyl8BlrNu9ov515wVNddlhxs2jcmboKa4sizBaohz6jjqlDMQ1HXcUC/3ZaZytSteGP/cqg7xUweUrPi2mACEp73f7WooVAZOWRV54Ya+RkbdUodduHqLYVLKKcqJhzWpJHWF76hDErBRwGnS7Oy0zjTHQ5URPtkHKyfhwQYZO1K1+dtuAZA1SweMYjOuG3mcJbDn/T358JzMn3wb+GPAEO6h+VFX/LRH5V4B/Cjj1X/1Dqvpf+t/8S8Af8Pf3z6rqn/2011C1dyvucqaedpvZjSOJB0jWCo1SDjgPiH6NUCqNdMHQR/HsyP53vVMKIW95ZcfHw3BcRXxkmovyvYVcESoPwLYKnG5xfh61GydiemVnXem9KUCdagkKjd8ZyyKie3KX59FBubK10vQb76Y/xb1wmMXpNIjNcMwkT+FKM0IIxsdHsWp7wlG6K0wElyIStgFbBA0BUduyyYuzIvjwCoEcvCHJPk0qbenl0NPtgRDIXkjO3O+/yddODvh1b0/RqPzYy1PefPc9fujv/V/w1/67/5ZfeP8DJvERs5dT8nvvEurKBuKyRUxW7ApFCDsgTA8ZHB8dMJ2aBWrb92w2G67uliyXK/qu9xpBoqki3/32G5xdXnJzvyQX06e+p+2tnT33GXJyDXjNar3k5uaW7/nCe8yamlgFYl0zahpmzYhRU1M3FVVdIcE8tq9vbri6uaBrTXFtFygQYkB74Vf/Pb+e3/57foTxeMLJ6zNen51ycPwmT37wiKO/9Jd5/2d+gvH+Oyy+/7cgjz6HhYvorf5ePAxWg6gqnGN1MPCAl67UPENKdpYdWfd+DbvCtfrfRx9uHQakCl3u/V6od9Pai5ThGTogWcjRfE5EoVXzqLZYKHTZ/E1i2MpojX/3OZaqkNIgTfX4Mtg4kFx1492MpYVDgnjX8JbvTw7brFvUvH38CUExXl3iAE76ASC4AjJgwC0bYFAHhSEIUT2jjyDZA30B/3jru5aP4HUu7+Uw2smySBX1Qc6f3oTznSDuHvjnVfWvi8gC+GkR+XP+s39TVf/1h78sIl8Gfh/wK7BhwX9eRL74qXMnhaErqpgslVFlZWGU33lIUglh4LgL6CoFBxHzXq7qwDIlQ9zZdNTDYE4JljKKBcj+oWNeKTSWwO7dTVoCaiG7POUE47CjF8ysKWRb0Y/BB7VSUwbzqkBfjlaXcFUu+bO/e5DmptIgYKeUBuPNwD5MEssSzCPBNnJS496LIY6qenfvdnBs9hELoWxA42GsyJjcWChG5/TDEDBLDSG4ZtyQgpTExwMoVvVX6zKzST42EJhqxEef/408+caf53seP+ZqcsTP1o/YfXXNy913aH/wyxy++yXEjY+sky+i2YprIRhjGDEFg/pBX5pJQjOmzyuquqJJ5sbXx0TXd9zc3rNZb1hvVijKeDzicHeXR0dH7MzXtG1L23Z0qWe1aWn7TNd29J3ZA1f35gvy8uyUZtrwKz//efZ3FoSmoh7VTJsRTTOi8cHCSqBftzQIk6YmxkBqO7quR3sl1Zm/94d/C3/f7/tHGI+n9NpxdX7J17/6VX71DyzYPTjk7PnHxNDw6H/5vyI/essniFf0qR/kshEPNup1kIKYHZDkovv3wK1q7pQCPqN1GxxtjWfPsqyojprmOapSVUZjFlCUs3cNhzBkF9npvq54ZqMUz/ditlSJWFORI4Lkv2PxuqjCbG2bbDf4LrDiu8l0PU5UlXl+Z/xze4E2m2Z8aNLELTJCGGjXZBvQh27HQWNudA/uBlrqb0PYIqXeDwAdYpXRIVAKkMNkeP9Z6W7tc6ZChvtTaNxy4H7a4zuZOfkSeOn/vhWRrwFvfsqf/G7gT6rqBnhfRL4J/Frgr37660AxTUqeppW3nr3IWDoEk4JEWx6hBBrUiwN+8qK0CqO2pDee6uStdWpJXVQhSSRpopYiiQtDRTmgLqOCFOzZRLcKGGveKbJFV6uQza2uFDazNfNk3dpIFlSjqGvQIfXJ+W/KHjJfDoFh1FL54fDZS/NP5QvAAn90tUhXMkYfz5V9Yw08tgBqvPaAZJ1BpqSbWR9odmXIhGw1BqOVXEY4FH29iDn0V7iWWEXoJdDPdvipz/1Gwoc/xa+crrle7PMXxm8TvutzLgOLhJx85iVoTi758kNIxc3vS+Eok5xfXKaKZlxzvVzRtj3rzYarq2turm9pNy1ZLTu4ur2jv7jm5uae/f0dxqOGSV3RjHprZ68r1puWtViDk4pRBZkMEjk5vSAn5Xs+/zkeHR+gvdL1KzZXN9zdr1itWlLfM6orppMJKrBZbdi0a1ShUuF3/a5/kN/x+34v4/GEXhNd2/GNr32Fv/Wf/QnOv/5zfP77fojLTab64q+hmx+TWqNYIm7ypAyGZhmrKyQtGZQHqTKChS3VVBZ/2XvBaUIvRbhctQQoV0k40DFlVDYwIwwZafbnsyBd+gKg+NeUzNjkiKY2kqpwv9bMhGINU5qsqziV5wg2kBscWVtdoFPco90QuIgF9b5kISg5uvtl2TcewiWrZZg5D8M8dKgj2X7rUSoJVGq1i47s3vXlett+VDG1WHLQYplB2rp25uzzQR2UeTdnoWWGOOiZ0Kc9/kdx3CLyOeAHgJ/Apr//MyLy+4GfwlD5JRbUf/zBnz3jlwj0IvIHgT8I0IzndgoFuwBQ0pq8NVF3qsDoEPG2UEfdqCsw+EXFxJjtLyqA4OO7QuHzynAG01AaKi6Souw8WvDXdJpEigl8wJ3ZMVGGelpp0i4bphC2WszsdpZq/iZmjGS67CLBMiNkQzExBGoJXojF9eoY/6j42CUrvGbnpPGBCLUj4CQyFBNV2Uopw3ZhF/ShUiRpfm80+tfqVqn+oyLUKYWecm2klDpNmhncQXAADQ7JA5ZqKoYMVYX1wWN+fPabefflL9Cs1hDqcqwMOjKT+gVPhLaDGzJhuCaVZs86TAl7s9zQjTJ937NarYymuLri7m7lpkWZ6XTCaDzi/PKW8+t7blYb9hczJpMRjQ9baOqGiNAo5D5bh2kISKwYL3aZVpk6VLw4OePqfkXfdtze37JuO2KoOFjM2dvbYTIZ0fUdZ+eXTGJAaqEh8jt/z4/wu/6x30c9HqE503U9r16d8f77L/n6t7/Ni6//LO9/7eeY/eA/yAiXsfbZm8NcdyXeoJKzGX7JVmhWdkj04GiUrlNq2ZRGWu6NF+6CBEJpsxI7FEwf7ZruXumwtZnUkLkUWiOUey3eeJLdHra0ILtiSQ14WSe0u22mkslag0tOyWiLIJjs11UpoUyU0kG/a1dChnVrsdRd+1wzXvoj7EfRkH4IRLXaQ5eTuw9a81yf3TBAXA6pdh1DEBtAgivR/DQq7e0iJYM1dZjn5ba3sRig3tGNCqoGnjqX9A5WxZ/y+I4Dt4jMgf8U+OdU9UZE/h3gD/vq+MPAHwX+yU94Rf3bvqH6o8CPAsx2j008kiAF3XoP+KkqHqRNiesnraPvjA9EUKEMREgeJJschuaakK3YJ9GQKCEYf+seHLHoLCVS/B5kWP5auBzr5jLZhp28POzY9Kq+WuegDgvZgnpUm81nFFAmxDgUgSrL+ewAckRgDSs2mix5db9Upre+CXhKDOqzJisNnp6WCjWDXlw94G4RcxgKkgMiUi9cemt+kTIG7wATr/yXaSZBlCjOkSIQ8nCgmLAmG/p3+snae8Wvt7AZL/jW576PXm1j1Y6k7ZMmT789GwjRlCsFpGRBkyFMY+LNk/tgVrNaXrFZrrm7vePy4oqbmzvalCjvrE898/EY2V1QVxXtpufubkO76WiaGol2wKQu0a033K1bl6tCM5lx/PYX6M4+YGc6hari1cU5/bojBmExm3G0t+Bgb4f5fE6QyOnrU2bzsXV4auC3/Y5/kN/9+/9RmtEYVFl3PRdnF/z0j/8kq7OP+PW/7R8gxSnv129C3VBnCMGRG5b69wiabL6oxO1QDS1qDF835X2LdwIWJKzO1W6n2WSERCC7lLEaAM7auWapK5tpmd2eFA9WAZImr1kFNJiKpOyNLvl78DuQtLgS9oTkWZ1mNGVUsw1HqSpvknNXTM9Sg9ihUQrMYYgyOgwoSB4fTOlkbeioHw4kJNvc2go7wDY5ow5UcspWQdDCcXsxNWVD9dmvYQxsvSP8e7IVFuD7rTTZlescs/kIDeIRsf1bXBor/r/QOSkiNRa0/7iq/ikAVT158PN/F/gz/uUz4O0Hf/4W8OKXew314AJbfi5htEmZMG4/MzSXSlBU8/Ww4LM1awJvFFEdaA2jYMUrykrqM0EztV+83hFsdgRC1uFvLFhaEA4hu28KDzheH6EFnjba/Qxi09qDAtnoh+J/AHbyV7i5u5QpM4LmIusrplDF89jjlaMc4/OcV/PhQQCjEIbiaAjm9WAqge0BFP3zDocheIGq3BPni91Qq3TKFT4+uReE5GwHgt+SnEvRFqe4nGOPPtWnICKX8NWS6agBk22WtFzVGjWyhoGrFaDXNPiRF9OVLG7BiXGRTVpzc3PL9c3N/4e6Pw+2bcvO+sDfmHOtvU937z23b1+bfSrJRh1CDQhJgAAbYTDGRBU2NoEog42rylVl42qoCIci7Cob6h9sCuOIEo2MZGwhegoBalJKKaVMpZS9snvv3Xf7e8899/R7rzXnqD++Mdc+aes9pcMux9OOeJnv3Xv2PmuvNeeYY3zj+77B3uEhh8cnDKVoRiHCVnM07DbXZ5Dh5DhsXKNUTySVtWZ0XU8tR8gR0jmzfZm1sxdYPnyFk1I5Wh6wPFnSW2L7zBnOn91m+8w668FIWQxLzm5vcXh8zHi84KV3vIt05jyf/syXePc7XyKZ8XR3j5/56Z/mC7/8SzAWNjY32Th3gbv7axy7oDeHiQJXo/pIlpQ9YyHwEq1M97DGwe6r9RmloO6fkgpNVdd+ygn63JFyZlEr46jPKNHsbsrDAVV4NfZeY3HJb1xmVm0yjNgadRpA7daMz1wTp4pPbBHiO+ZZxyz31BT2scGpngJlrNEUa6LEsdD2a8Pal2WVSDThWWNvtIDfdABS69fJgrkNYKhVeL1QjSqaLhLf1DpO/bgcwzxIytIdRId0m76zvoJEWEM4nHYYfVQOKTe1yRu/vhZWiQH/FfBZd//zp/78euDfAP8S8Kn4978D/JCZ/XnUnHwH8NE3+x0ODLFgsOjgVpVUp82M6lR+69GMkS23gcgtR8OcXNN0mjXWRUWNBlKijwfoFsE3DHQUDnTGZmOyaLRcowkafNXcHjJ0s0zOleMjwq/AJhoTHuPQXGW8odPYU6INJVCGkgV9cBoTDnzOG33I8KSgSHhhW2Du1cJz2IN2iK8GOeCTMrxLyqdKXXkpW8pxSGqpZys0BV7rNTTFXBQDk18FESwHbwejR1A3alRPyvZtKllLE0bodGSIB9WZU6vmMLYgNWDUrAwFr5SkAD6nubIF5loItagEPrVU1jc3uHP/AXv7x4zFWY6ahjTvlLGnrOZ26rMm2uTM8cnAYqjUUTazblBK4WS55Ggcwm63cvb8FfrZBkMtLMclwziQU2JrfYONjQ26PtOaealUumyMo3FyUigJXnjnBb71t36Iv/43fpRP/8plvvO7v5ef+Kf/lF/5uQ+zuTYnp8Tx8TFrm0sk2s7TuhCWHawGGrPIFNANBndyrcxQpioYxQI7bYpeHYrJcmC8QeOjUmqV8GQslFaYtQdX9ffCakQtLXGgpqz9OY6DMO0Sdr8I2surnYVlCYFqGeWm2TUeuPDjJmZblqJ4baGNDChHW2uFtzd4ol1PSmKnlBoaCCNsnpUMju5Txtsq0KZQdqKX5ExitM4Es45FFERxyWOea1CXJXZiqtdxF/zlrpmVOUeprD5Mh+6/mYUZV5nIAXWiEP7ar68l4/424I8CnzSzT8Sf/YfAHzGzD8bWfQX4kwDu/mkz+xHgMwgC+tNvyiiJl0WQi7yBhCxNc6StwqptCrYtQ22B3UOsk4JnrVNAV7fKUiOoRjmSLONJSsecaFNG41oSYxlpTngaIpp0oVXcaVmqJhbLVTMixyljfsq9T9srxtjbtNmIk7p6w7szgzspjIXMg73RKodW3NaCW1ZXvWXpEAcdwViZhP04iaHohLOi7rw3uAnASww4UFaiQqbonjbmjGlor5qv8dCCPjY1jD2+i+62qozUAoa4+YUKgYOnhrtba8jos6cGrMvTxbNwVWsNKDRTM+U0DW7O1gQXTrXMSTVmtUDKHB4dcbJYMtRCF9S8rs9xeGQwcbVtHNXQqwOVxDgqCFHkZOWlTo3Ri8+/g75fx+hYLJac29rCcdbnc/o+0+VEToLdakq4LzmzVXnX+89z/sIWs7LDD//gX+Lc2Rkf/oXXeXz/EQ+/9GVyRwQlp5TCcHLMmVw5HNvgCDFrrJ7uITAdgl7UY3GDpRiMYjOZ0dPw79aXiJ/FFXTa3fRghHglIUZRKUM4KgquUoItvLkzm4yaOixmYArW6YIMUDFS6gPigFqGUDkqmZma8gGteCwMwaFOiaquCb6UIKVp/F6xiA00mNvo2nDqWlVxRiAmcPM2e7JtUbnq6Hd3TTHtTRAUupGU6EyWCcXrNGoNwFLXoj1lHLFaJ2qhMnGbBoFYg1FaNaR2d/gtrSgIb/T6WlglH36DT/kHb/KeHwB+4Nf77K96Ty0Tm8MQjlwD35CUVf9uLjignArylrRS2ly71Exj4jAgxDfmjlWVwEqKR2oV86IUqSQNScVTyli3OtmHEBBQVzzQtnE8iORNiUVAJNN3AwkLXYuiqRy18I1cPQaJ1qkEXsXG2FSRGcjtLEnoYMGDpfFmFXhzTngOb7Wiznz7zu0CE4Hrtz+qI33OoZaL71TEnPBE3NNg7EzZQJSsfvrgsIBHjBxNXljNNkxBqWpDXMX1DSgrMM/mJU3SQSjBnoIIMTWlxuZu3hN46zVkBks8OxkZ93dZnJwoiA1LMNnXTqPcsrLMsRRmsxmpM0pXGPNIcfVHqhknw5LD4xMgNpYZF64+TznYJTkslktmixPW5nOSiY7ZJW3yMsp47O3vex9f98H38amP/jT//O//Cv/y+esM517nn3/8PuPhdeZPHrN1ZivMivRdToaBzoytrpKLVIVjjV5Hq/hSw3KhlkKPKSusTTKu4bXKCcMW1aJaReW8BjmDW0coAGL9rpghpcirJXUdZhkiKFnw0BvkUKMaBNlK1NSyZDVDxzKIjTLNmfTAfS1wvoBAKpjHUGFvkIZHoG3wSKy5CjlI0w0anfaRybeElj17C5wtnggOkT949HAC42veKcqRjaFqbF2XEjmHl0utVC8xnHnAqYyxR/qAQ5ohV+PFkxNuXfTdauD0AS3G80hvnnC/NZSTAL1pgGwrf93DNClK75SamQty6Mo58lgFjy6plKzVlWbEIZBzQCaRIYRyWzcwCbbIxPtBXd2c6LrILl1BrDsVHDqEKY4I3+31Rpo4wamCDvBopFlg0jEEmHBIiwXZ1J4t+wDhju16VbpFo4VTPHIQLETgdUmNV2GThbE0vFObVivDaEIML4S/iA7ENiG88bqVmQWntmrhd8HjFX+3ldeR/UWWLyWTQsVqVJQ2ViJKzmDUAFMmVOEU/hhqv7KCelIcdmSbvn+z0sKc0YzeK72PzHNi7+CAk5Nl4L+E3FqNvFRh1ne4ReY+jsz6nnnf4bVyXAsLr8z6TJ+2WJ6MDDaSU2Jtc4vNzbMcHDyjT0ZJmpaSgyhcizDRK9ev8Z4PvJ+X3v0u7tx/SMnr3N6rfPLODq/fe8Rv+92b7H9sk5uXN+T7EdWORvIZZbkEr6zZSMec5GquNezfJkGSApL6Y7I5zQkshgpLFdLMlmoUfnpGYyXYJcoIk3UgazAEwWlNd/0sZqxG0yzRMIHgYSv7FlU3RTAWva8Oo+xYoz9AkmugGuzRvEximpSAH1rBDLFf43m3/eCs/MQ7D8VDJe5F8LKnzEr7vA0iIaXJJZHQgRRvDcdKTln6ABT4s2tPtIEgKux8OmgUb8sUbDvr8KzEiKJKYQiHRBXaVaSJqGwaE67tgTHWwZu93hKB24BZozAlPcgc5k9mhJBEP1eMcPSrp96tbKNBKspxNNG7lPCeBp2woMWSonHQjOcpdJ7ldVLqRPcZgv1RXVmO4wxFgVlwhIv77c6st8DSLabaRLMzrDKNURu7PbWUsM6Zd5njw0JpqkhsesiG8C6LjV2sjYtY/UyKhkiOUnEoDnS4F7Jc9EPoExQtaxl6jJ2I+0aUuMrUBLG0YasFgvYYGKsZFkyF1jn3wPMNF6MgPtCD/6rpOXmCuzw2RBwjYR5lDGEB0GxCc0o6OLs28UTbZaxgWVh+KaHkTMYsw7qf8OTkhDIWyhCsC4QzppjaUspI7rPcAsfKWAq561hzsAK1HHG0WLIcl6rukrLwjc1LrM3n7Hc9pMQ8Z7Y3Nrh+/RrXb97i1ksvcvP559k8u8nF69f4Z//0n/L3fuxvMxwc8MVXXuGdL78bn++ys3OOS2fOiP4Z15SDOdH1PUt39o9O2NgMlUKdumOr7A0XlDOtB2MtZqGW2P3uIYrxEKcFzDfGYQ8Jy43x4NjgAVGkwH0D+43kxMKCgiSIxDzrswJeURA1xjJojbia9yklSjQA+9g7jcqYI+rlGl7YY5vdE7L46IvUlk2LIiNvD4xlad48PrFmJkoe0eRPrYJu/tvaw20ItarZVWzpWSmVgTZMR3u7JREBeUzmbHVVFVR3uoBBU8viiXUfvjrqIbckpCWXpxKzN3i9JQK3OyxrK5nbzdXf5awjv3gY0xiRkUf5lNKqaRhQiQJJYHgBXUylUyzOGgtPxlAwEMEqGg+i86iMEs0nOuaEUU4EyRLXmpNPU9Vrqsxm8d1CbtuwuBjVE1cHy8EpdaRY8wC02MRJPFKP7Clp4k5KHoY3rWnZFou420r61FyypHvSVGDax7HYUsPbJMmvGFaCetdKTpgaPxbBdjkdjVEkIJy04ZwDIaGPzA9fHSwepa1XVQ9emhVAo/u5pu94/D5W9Cmw8HA2DR6IXoVXWJgydNxZ4pzFGU8OWCwHlrVoQjsBEk2yfmM+n5PzCmo4WS5lmO/Aese89sIx/Yjzl437T42TE2Otn3P31S/y9PErfOfv/C6+67u+i42tdeazOXcfPuDzX/gCP/nf/E329/Z4vPMYPznibc+9wOali/z27/xtvPTiy3zko7/Ava/cxdKKNtYmtOjrGqTE/cePefHMNp2vcSQewzSSxqtTRh2w4hZLL9CbUT1HdtlEM5ErkIJiG/NJE+RZIneqFoZFWfGS27qKFlUtrkZiQFKach7KQqZWJV4LOfVki0kwHuwjlcRkV4VSG/PF5JopZW+NZmIcrr6a4JRS0L1iHRFiHWkkmLjiop6OEGySMQIwsZare/TJbFKZTsEyGb2lqX+ja4iqMtYygVeP1WN4MkFJrZFwWFSOcilsVawFSwuP3k4IcnAlow3KLO6/QaASC3vROJUaqcdxygix+9VQyTKqsYarRtLRMOxkNnGEU5i4VBBe6i3jbri4TTSfbApGNSVmzVTGg+NNDOu1NJnz5Iq8vgM+ca8MS2WIaqaJ6lbCrzZF49Tj4eSG33qKYF6n8shrM4xiClrmHhQk0YvcV03OCRG3YH+YZgGmyFRoFUuDQmzFuzX31aQeEw+8RtkLzYy+Tll1a6YEFSay82DXmAQxzZh/clwMZo5+Vk4iFptfY6vq9E1zzIqrtajfUXU/hlBo+grr0veNTV2aoIHK+XnhaGc/rhfyrGc8WdDK3FKqBFC1BLNEZltjqRwNC5ZjZf/4mO/73k2+7oPn2Frbol9f8KN//wF/4S8+4uqlbd57vvLub/1ufsu3fTv/+P/7D/jhv/Xfsbm2wWuvvMKwWHDx3BmuXbzAb3r+eTbm6wy1cP3mwP/h//Kd9GvH7D6d8fGfzaxtzkk50fUx/DlFhgacXdtgaQMsl8GHbnWnS3vjhpEYrU7VSoIIiG3GxApfJbJW9YOi1Z2UdY5DoQ4jvqwTtVCHvapXaSQieEYDelkro4cJE0wUU7ySvEyZpE4BnzQZicoyYJ+umnoLOtUxk2nEClsGzJj1UE3sFK0JNUqJtbdmhqkzy+haTzllkid6a5VHW5dpMoBqv0N9oxUdscuZsSllAzZsA5Ob9qJRI7VujRSe4N42BS2jdzV5q08VbTP90hnZGFYxRq3ZerzJ6y0RuBNiBFQIP+1WPkSHuWVegaGJABL+w25Tls3UdESbusYJaBYB16YsvZ2iLXVW+aU5fa1ZSBwe7WRwC1GKC35oBMLmYNIMMKmEEAcM+TCf9tFwAcrBr04Ttu2RlTfXwuaV7G5Qi/zKizNaMLw94IvUaFkK1l1AQtXS1NVWFhVKsshsIAeRJoJ31QZt5dzEopmy7Ip7YM+xcCuNTxxNobgv7i3DWcEhNSbtdJiafx5pIIJJUrIYceXRfNISlyFTZDbVKVnBV2WyqqeMTR7N59PIk6MjhuUCarj7VXGOc8rMZj1rs170tfCq6NLImXPGR375AV95cJ+9Z7s8/+IGj5/u8+CBcXyyxue+0nHt5tv4tt/zB9jemnPl7e+kW1vjD//hP8xHf/4XufvaXT70tnfRzTKzWSfmDJlC5dK5gX/rf/tNzDd/E5/79Bf57C89oOt63Z+WRJyC1RyYzeUHvxyXlOwxM1MukRbl/BD6dHmPxD9IiWitYZeirxH41GwmpkgGqFXBeiwMQ7BKaiWT5NlhYo0QWfs0JICYkeii/VWvkNpwP6keU9eJZBAwRvV6au6j4L/U6T1jw+DQmm/4uFUxuoaaqBQlU9Xj+Cqn4L2IlNXxYpPgS2Zahlsh50QXlUQ7AIl9aU6sS5/6SQ0Tb3oHVb1tCHEkU1EpEFCRGIfBikFTlNz6qD5Fp6xjnbD6auGhUktEoxgS8xsCKkHzEFN0sGkZtemLGODFGSMxc2PCeFvgHRHe1QUeq0YNUjYZU3e3OFipMXBAWLNF2eQOFPkV64Equ1iEB0GXhXlP07KidGpsCo3UatzsiNZVB4cT0EQKDwXQgrdRPtwJrELNyklzPLwGS2gsGFMwVOqd40KUvVjASc0vZIgDaS1ByilwQCH+JU6rZp4lD4UUh6GwdDdNNx1qWWUHZtPhNUblANpzEhvp7wxEBhVwFxBOmjIO3Tzdty7loEd6+H3rMxMwltZ4rZpIlJw6jiFIDSe8rCyNBGueyOMxi8USkDc2Y2FtPqcPutnabAZppCA1640ble/4bTPOnLvLj/+ZL7CWznHh+nXuvnKdz33imKVn8toam9vnuffw83zmK3fZ3L7Mhz/+99kuz/htv+O38n/+v/7f+Cv/+V/iS5/+LJvdGstxBEtspEz2wtvf+xJbZ7+Zv/Y3/hmf/OgvMoxG13XMZmtafzkHLJYnmmvXa3uOZSSnkep9HJ4oeUDldrakSTWRQHiohzMK6CmKmhTJznJZokFcgoNtpCrx02JiigRrIjXxSHQ9GsaenInHHGu5T1WKyvgzR9WQpOatOZcE6ZkOqyViHE3jA1rAqqsAmWMZTXGBOgnHjMaI4ZQKcYURDzA1dUswaSK5nzjaqiyYPkfDgxtPXvvXKix8pE9tf1eaUrJGU9OSk2rW2MTYYxoIU9QLqGE1G4lZmylA1X11wGpARqtT7Nd8vSUCN7T5eEy4aA61XaE5mlncXMcaval5EaA+eIqH10qRybYRaG54raT0CPTVTEKUgDCUlUaWPyXk4WUNYJr+3nDgwdUoyfEgLBYJKNPweE/1pnZjKvOnBolX6kD4FIhP2wr/1pmW14quUdkUq81UlVFPVLrI2DxwugENaRhpA54U4LvgUxcXb7XPROaXWJQCadTGc58mmrQGlCBDw4sGRVRq0Au9xWQdNtP9F76qDKTdl3h2gTtbKCrLlAU5sxw0Ku+wECj0kWXp8Fkx5Zdj5Xx2xoNdNXQtyYaVwD2pjGVJN6o+8lT53u9d5+ve94hP/+KX+aG/ucbbrn4Dy8uZs5vrHOwdcPXyRR7sHnL2wkVu332N6zdfZPvSNY6PlqydO8+nfvyf8IXPfJKfff8H+MZv/ACXL13ilz/6i4yLkfm8Zz7LuMMHvv4dfPlV+E//H/9PPvSud9Mb5C6r8ZpkUtYCbnU1IpfLgVIL89xjVsg149FrUQWv+9cmwKQGG3pQVb2q91D03Bru6l5IVbxuIlgqSGbmOXophK+MJboUrIn2LGOfNUVyAWXO8TnNiiIoS4C1GSQrllNcy0r2Hvs8YkAxNQdzwHROcLnj+zXLC20nj33amuxKMmowoXxav1JF1wma88n3e4zsmRoSkCoYqXlwkwwraVKfWqPt0WKHIDeP7++oYh4bZBTw0xgZuwJ1peHuckWUQliw5G+IYcERbANva8C8QPowajExR5rarVpsPlOm0HmjILWyU4S1PFHW9GqjwizKcE1xlgG8BTfaSCEMq1EmZlpV34KtBX9WD6XBOwpKJR5869jrDXEB1tgADYKIUrldWwheirX3Ox7DWZOfxv0cj5TWLFBiY2quKpOSz8loaZKllwimPjo1Ml15iNRgTiAqUzKSJ5alrNgLqBFJBExX51awT3DcLeVg/URDyyUDNlYbXva3IU6IQ6adklI1i5XTd8bVF5zDPWPvicd8wBQuhq2BE83fUiilcnZWWSyOWSwX4gu3+0IcAKkjz3r2Do+5ff8O/U/v8JGfyTx69D42ts5w9dYZHt2/x+PdXWZ95sHTfY6HwmxYcvPmi7z+2m2+5eYV7jzcZWf3KSOJVBd85ld+iQeP7vF9/+Lv5RtnPR/92Z9lNpuxGAYuXbjIi++4xs9+9CFXz12Qy5xXcmp872imp0zxynIcmc1mLIdBazJgjWpyYxEDQ0IsM5XvxPoTRm74WORpj4kzHevG0qono2pOzWEPuqxgkDppCRpPPlmYmuENKYmKszU6G/DoUWgqaHdJ1aTTTXxsrzFswMJb3xuMKFqiRVVZXUmVLBBQ8KQpcaGRZzWxpwb85hJtAYXCzHIMH6nT+nNvzI8VjNeycNk/yJxtOZao8EMzEnt+9Cpr4UgktYeVnI21qg8XvQqfKIZGs5BoZlTQDutGiCCEfquK6o1eb4nADQphFZ3ymeZFrS+Y0b5WiQ5N596FKm8s7d+DNhdm7nYqs7VYpE3C2awVyUZnWUb5qEOeI8tWEwVauFRSHjTCKE0pMa2jS2TrJlZGCayLgGDagQErZ73GURfarFdbSBNrwohDKoVZVPNNbOPKnBLfvU27b9+v8zp9XxoOTWsKqqFXNamYGlRHlZIqDTEdfEAMgdBVS/3mAYE3Sy4Ck19lcE1mPPmghKJTgqrgIONTYK2tmWo6Jd2NO19Out7AomsSrj3DWNTCED7lxKG2mQd2T5a65qpmj+WkEr8KOts9PuFzX/oyu7tPmXcvcOniJWY5s7m5TcW5cPUG/cO7PD08jAPUefL4EVtbZ3nuXR/gtcd7XDm7zeG4YLY2x5ZH5K5j58F9/v7f/jF+9+//F/jA17+f27/6ZQx48aWznNnO3H79Va6cP9+wH3LfQ8AkFuyonARRjO7krqOOFTdnVovuuYWlrtcp+GLNZrZxj5lw7XGsUyPYg4VTXHasJZ5A9fCBadx5D4GbCXYZ3PBm0mRBT43kI7Hycq+xgqN7SJnKX58qYYJealnUygJ4YOAlms9WxZApsZzApoCbPAR2qokppURPx6c/q6UG28OhjgrqFsLo6KFYg39cAxywOlm4WnHmAYGqQg9smyagY4L8Jql9dSwzNe/bZKbYcWDqUeSAPKtraPAYCU7rAbjp76ZE7w1e6c3/+n+ZlxHTbkJy3vCpaLRCaZ3fxj9QsO1j9G9T2nmNrNz0982qJaU83axS6woXdSaXs5aVi0VSZfxkIZ+35u4QjTeLwFkK2SSYyFmm+eJEB6yADJR60yEwMZarTxS1oQhn1DipCj5SKBBUQOoKW3bTqmlqQzVam+dwg4ii+VOFsLSL9qBjdcnlRUIoGE0ZUa7C1+pg2KBfvywwBBWzVoK+JNrwWJmaSpK5x7OMzZWjEnCXNWepkVWakXInTrCFai0OWBDk0+FRRkdFVBRwAnpkrJpOI8+TRNf15JxZy5k8HApiKM5QZJ9Zx4FaC2MdOTg54Zc/+zkWixM+8K53cW5tzsnxIWltDa9GN5uRxiUXbz7PmfVN1rN8XIZh4OnOIxbDgjObGzw82OcdN29iNTHPxvWrM3qcnYeP+chPfpj3f/03cf7KJTqDt71jX6ZLo7O5uSEoMHUaa5bE2QYdKt7MojwqECpjCdDJoZaqKeSyemQMBeMpBA6viSbgsiz6mqcIXhWqy8pAnG49J2wFh0TrOw5S+V2PkcoQvGQvBStiUKzG5sbaTxnLkRPG9yDWqCq8eE9k4EqiKp0zmabNk7FmEuXl5PRJCsjmjV8CX54h6KcZXeUVOKdkpa2rumIgmWdVAm4MZiw9lKem68tx6GXTITeWgofEXYwZb7gPXQDwk+gz4Et3NYdtHIXXV+gQ5TLRIKsW60SIiA00JV9v9nrLZNxUn4xlhF/HYjBlgGNgdB4qk2YUn8jkTqKZLmCSJrOe/KwptMkVbfHkHJNYChPtj8gEc7hznd4QfqpBo6w0cOKuU+nZMLfIJFPrLnOa3SKIoWU1qVQ67TQqLXhrtJSbMiDpDCrVU7BQomx1D352ywKUoWuEreQyIyEDD4m3u5qrnYVKlBoKRUIIQWCjKu+qyckvR1mXUJZQc6KWeFLu4AGneJTK2abGlXxjmheLfjzVyrzLpBgTNUaFpI+KrDzK0FaSW2wmYaeRracksy8q2TIXZxVfnDAOmlZTq56zDnzjcBj58muvcm6+zvUrl8loEvvhuGDY38e2L/Hs6RPOb1/mZHHA+rnzPN0/mKiTy+XA/v4+h3snbJ/b4v7TPd75/g/xXR865rd/1+/i7/7df8aP/NgnefT6XT7/uc/ym3/bd/DJD/8M5BdYLo2jvUFNyFrIXWJtNmexXCjjNui6juNB8FezBSi1ghe6FN43FusqKUA3ZSpxeAoOUpDsrJvoc9WL8sAUiVJ7Nm6TGlejtPTcCVhKxYwywBSccHej68Kn0xJDbZ7crQmtvdcF5bLWKkfMGg6OrklUaRWrdBj5SobvuUXC0BUGBj542PIGttEowNP0KgvbZoyUDavyQLGg/I45xgFaRv47UaWGVWu2xsBR0iSPcqe5/hiyMcZW/PGGVXpU6hLjiBlTo5JKLdNvVQ66x11SU7oJ78T+8l83XL5lAnfKHTnX6GfkaLY1kF8le3bIham5NXWES0sZFCzaIFDLOTBz3fASgcDdOIyJ1TomFADbcAFRlkzjmiL7abxWUsP7UNnYMhtrD5dYmEGTi5/rWmCPsrEjRVe5yVsT1ctksdpwb0MdZ8MDj4dpGKsHfS8WjZmoVZP3tRN+3B4ND927sYzC8fJK6NJaoq2M7chqagWSaEjtZimxHAuGZONiGmjjVpMK0b1RIyPLqsI9Syg2UxIYNhZli8mD/2sWfHn9d6HhkNqgjTaZknBbiuYSjtXJtWNzrXC4f8jJyTKsNhNYxnJisVjy2uuvM+97nrt2na31dfYP9uSzURNWCuX4KbOcGAL62NzaZOPsNocPH4o2585sbZ3D4yNsPbG5ucXjWcfbXnL2dp+xs/OMmcHG5jqf+vjH+d7f+7u4sr3NpSsbLBafYnm4S6kj4GyurRHGIVMT3eLfvRYdmCmGIHhi7oVONzx4yA6dBfShn61VKuMuyzytujMsBtJYVxOjUsvnpEVQfutTcNQ6CldHVLaNEZgVqKORGslINVVdy+VA33WBleuzRNdU32N0gupIQEFqmIc7mVaZiRBgrTnozRUTcAs4RhTVbDDJOhtzBYv92aCMGhkwITFvDdBE8cK8j5F8FY6HUWPEYn/ibQ6mkpDO0ik4ktAmaD8prYlEKu6ltrRiUlvEVuNLue4JLudIvR+amV01/3U4JW+RwH3l/Dl+97d/PXcePOLekz2eniwZBmn0FCvTdFI1vnSNcUbVXSYtnbK/ruqppyQqW61jlEEKeikaIn0vV7hGw3HVkJr07tHEq1Iqtt5cchjDI7Jlp1ZKzKnzWBDRELLTEEtgYPFdvJW0VJrqxhJhsaJCqkTjDodKwVObsX3Ksc+bKCYFHlikNCV41nG/lJX7tEA88P1UfYVXpjRRvcaxYClHc09Zbu5kvVuGAU+ZZghVXP7VpBxMkxJwVmJ0ebUo4Y/rAJautmpqLXmb/mNiCSVi3UcZq3xRC16HY3CJa2RlqXDGljw8OuLw5ERBtk8kk0XBwckxpSx56frz5L5nMS7Z2FzjeLlks59RDO4/3OHs2U0xEWZzZpbZOrvNyfGScW+HxXJJTT21LjnY3adzONw75v/9N77Iu57f4ed+aZfqlaOjQ9ZnPf/k7/4j/p3/0/+OeV+5/drH2X26qwy369hYX1MVEZVezl1kXGmqotyMZankLpF8GbaiotxNwxKEo00BIVuijs4yqcnZVTtF2bQ45CtDlQmSqhGfBG1jgyu84j6S47BtWgn9Gv0uqXXV+DMq4zDINC2yegVwVYK1ZdU6haHt4QimCloWh4dNlN/OMu5j8JwV+Nts05QFt7UZM+1gaSK5Sp2SvJwDGnGXJUR1xmGkLGpUigr6bfZjExnVoFtOpR/RG6L9WLN7RqMB433NliNbVEEKB1OVM7DqSVmwiMoEOXrbDm/4eksE7u3tLf7d7//9LE8GDo6O2ds75PGTZ7x+b4fX7j/i4eOnPH5ywM7BAcfDMoKe09pbFj4Po4n10J9qvqVWZtMWU/MVIPDucL2zRB+ujDTKUrwpY6EIixIpTl4owq1oAx/0O0paTT7vQzWp/alFVCJzL7WJJHRwGImmoqRVTA6rlmMsAhoNqlG19DnuTk+KU7s1sXQfdLXRF2trMzLsRPhFEEKnYNXKgc4h5M0NncBXB1IiTdPrvZWOGJWCZSGOlqSopBTBIwSlrURT1iX7b5pZwQE++b3oeeeAtGzyp0jRYKtmzJLB+IwnT3Y4PDyi7zvWZz2zLrO5cZZLl68xr4X5rGcoA2vzNY4WR1w8ewYzOD5akN159myP9fU5eXFEWdvi/p27XLp2g5Nx5PjokK1zFzg6WbDWV54+cy5fvcW9z93lC90229tneHr4CgkxIe6/cpudnSfcvHmZg2cnHO3tafRcJ2bLcjlODa/UdQE3uOTTYwkHSmcclnRb4SNt4EXc56bq9fh9YkSJgqIRd504zLbCrTVTsh3uAQCYOh6prmiuSprbRB1BC6C5mzkOFcuZ3gTDLGMgQA4oRV72FnReVYsqimtMXw86ggfbIgK6R2W7wokHwW6xGbqkNdpUul7rpBglKlA5H2q9NrsGKozR/0nEAOwkho67Gofy+1kNO+mCBdKsZVPsv1C0h8DOpMIVTiBOd7BylOrHFqY1cFtDN9SscX+mirht+l8HLXlLBO6HO7v82E//AjeuXOT6xQtcunmJWy/d4JuSDMfL6JwcL3m6d8CDBzvcv/+Er9x9yO37Ozza2WPv5FjUneja6ga3aRtxerprFBLgpQA5jNYrbaBBaeV9BN3OVtBJiWACObIEbappqrXbFAQbpzNZmkx2CJ5rac700Ul38/jswiSPMWvaHSZgPkK3BeY8NoaUe3DIJWKqDb5op07Dg63BRIGvAX1qsAYhDtLfp8iyOjyCchyAsWGrawBqskSOw6i6xA4WkMfpLNCjfdUnC7y+hmCE+E4ppPvts5SzV29sHCH2s2xYeCtrhFuOCTVwpnfGgz0MY3trg63Ndc6dOcP+0Ql/+I//Mf67//qHOH/ufChjNbC372aCcXJm1nUc1yUMlWUdyN3A0dExaxtr7D15wpWr11menHC8GFmbJ8ZhQSmF5ckx5y9f5LUvfYkXXnqZC9dvcbTziM6NncePef0rr3L9xkVeefUpyxPNctyYrZEsMQwDPor1oHFmMbUJZxwGaq3MujmLkxPWhgH3EQF63QRfeTTPmsdHTplau4DjVIiWEmV/S3ca334q94MZZMoYk9doHHvsjRxBXKRCDd1Q8tInpZJrsxl1GEk4KXcYOkh0wDrDUMje9geTpB1r9LhuhekD1UeBDk5Uq9qXydUjUVMvEZNEpiSE6tNcU/1pQBOxlyTS09/ps8Mx0LQOvWkvUKWQsRjoqyqnzaG05q/d1rL7JB5Mse+SuqHT2MHYQLSRgjWEbIK046BxxHj5jUAHfPrskP/8v/xRct/TbczZ3t7kxuULvHDtEi+/eIMbVy9zZfsMFy6f4/rNy/Q58Lxl5fhowe6zXe4/2OGVe0+4/fpjHj/Z5dGzXfYXA4vRxa1MLUeMmFLGld+AnloIVoKg77YajxULYnTwLBQruwL4UIX9ZlOm5JMVLeBF5T5gY+OorhqCoBNWc+6CdudiYJSAEbRNmabmKDuok9W6WLcBx8T7DeFpysRRkybJG9jqKQvb2MBt7JIkyyXM0UIUENffnNccm0rDsYifanGo5Sq2Tst85E4YcuIk7/BEWtE4W1ZhzUAqSs6kbKjzJpKKujE4wzkRKrd2msDZVNl79ozcd5zbWufs2S2OFwOzM2e5e+c2D167S+4y5DnLsmA261kMJxyWxNnZjNxVOu9RJqptcXJ0zO7RAZtnz/Ho4SOuvfR26sVLHO0f0s/nHA8DLEcefPbzvO+D7+eLn/o07//AN3LQZ5ZHT+ly4tOf+DTf9K0f4smTBV4K/Tyzvj7Xhh7GgJxES0spsX3xPAfP9oGRUgb6WQ+2Th0GaiVmdurpj4wshyFc+Iy+75lZYmRUJeIRdDolA6AgOJaiBm5KqlRSnthaBY/ZlTV8f9QnKEElVB4UR2yj87ma7PJ4sgmeUEIQjXmCTFol3iKD1cxQHbc0yecbHNJ7ChZIYPq2YpS4NbdLVZqiiTKZSbX6eqIntivwqFRyU/BqzWnaTTvUtL8VRGPPJAtbWnG0O0vKzKscKcdxjH5cK5MR9SrQTvPGPQ/GVyRLra+gqkfrXJToVme+8etrGV22BvwUMI+f/1vu/ufM7ALww8CLaALOvxJT3jGzPwv8cXRP/oy7/+M3/R0wEe2P9w842D/g9dce8rHcYcmY9T2bW+ucObPJresXePnGVa5fv8yta+e5cn6b6y/c4IW33eI348L3FksOD4959uyQew+fcPveDnfu7XDn0Q73dp9xvBhYlkFKr5RovU0xPIihCdH3cKbMUUC0GiFu8lIgRp7VKA29mcRE2eeuwbfEITF1lZMHPz3Ugq35EXxpIlMPpE7c1qILE+siSs3aGAbKGCxwc59KMCaGQhv44G2RwSTBNWu6RiZzKDWWXPhifE9xv5tfiUygVHmsDIZEdhEEVeOajOAoRwPMU+yYdl9jnU702xqHIY1/7tRR1zW5x3m7V7DhJ9w7Oubc1gYXzp6BnHn19qt8z+/5F/iZn/hpZhtz6mgK2l1mGEZyN+P4eMnWxiZDreSug8jyvIT3dt8xHO7RbW7zdHePqy9uUKuzt1gIY12fU4rxhU99hhff+V4++5lP8u73vY8LZ7fYO3zKuTOb4IXj4wV9b2xsrJG7xHJYignVZeZra3SzDW698Dy3X7/NWBbMehkh1eWSs1tnOBlGNlPmMEppcfjVSO7TDEy+H/LyURStEM06BYjSHOyq0+VZiyoK0FWOkp6MIdaLLElXqthEoiatfd35IBBEytoGGZcxHqylCLyCIgFyn0jNkVHFqfZAa34qt4417ZAaXc/opoODicHVNG4J7Z82o7bRKUsJimNkw6WW9ksnxWYJ2KLGNZfIrpWvVYnV3CfscvA6uTnUU7Rdj0DsAdHIelZissmDxmPOUKuIo5puuH5rWNubx+2vKeNeAN/l7gcxNPjDZvYPgT8A/FN3/4/N7D8A/gPg3zez9wL/KvB1aObkj5vZO990fFk8hDLGAARNRpI/cjEWpbJYDuzs7HH7tQf8nH8Gy0bfd2xsrnPh0jbPXb3Aczcu89KNy9y8dIHz58/x4uXzvOs9L2EY4zBycrxgf/+Inad73Hv4lC/ffsBrD55w58lTnh0esThesqgFcqazmDji4V1SnT468tEmwSyTvdITg42JxJVwwEPrt8NYWIVO+F5biGZtzqZwxuwisdZwH8NCBYcWNxEkxXvVZpDIJWOp4XA6GsZTGXgr6bLLic3jWkuY7WgOoaqMNqm+wTjmrYM+xiDaKO9MJWkNsM9qw95TDJiIAapoUEFzLezcgzFjWJI3B61KiQ67GDk1SI0yj2rNoIYdKkEXDTAZ9H7M2Y1Nzm3OWZuvs3dyxPKkcOXKJX72Jx6TUqFPmc2ul/3sENkfmeXxMRub6xwfL+IQc4Y6slguGBcDAzA/PITzV6hudPMZm+4sFku6bk6erzGOhzy4+xrv/cCH+OKnP8Y3fNNvIfWZRztPKWVk/+GS+axnvjZTo86d1GVIcOX6c7zjfR/g0f3XODnYx0sRbzpYUnUsnFmfMV86J2PYjCap+/o8oymBPRpjFveqC4dHLSom8UeXRT4ONiljjRZ0CiaSIb6+O6RwiGyfHNCcRDV6FopPJaiIam52HpzvJFaRdF5a50MpTIqMxl92X01fqhGhiUlUHoE3Bb4c9NZSZYcqlXQkOwRcB+AacrJy2rSocAqNt9Gofx5N0VKr1qMuRNBebdRW7U1c03381DNKpxqrYzTYG0U3oftiNSxbU1odejRvJZ9iXy7NYO2NX1/L6DIHDuI/+/jHge8DvjP+/AeBnwD+/fjzv+nuC+ArZvZF4JuBj7zZ72mYHRBz1xqmG5inxylWJXrxmKX37NnAs919XvvibUEOOTGfdaxvbXHpwjbPXb/ECzcv8fz1y1y/dJ5L21u888Z53vv+l/geh3EYOTpesvfskPsPnvD6g11uP9jh9t2HPNnb4+nBMXU5RklnMYRUGd9Q1LQZahWOFVhYMuHnIQMMrBC6wJ+tOn2SAKjRp7KMqEPQor/QvEkpB2tggTlBF6WexCyr0hAThJQDVzyNwYulocUlrDAyIix8GiLjAHW5PTj1LgqWucHoqjQCamnj3lJtAZxpAjitYiHKX+Sp0ogGmIeEuOLDqOee1FSrnigWkI83wUYwjFIKT45Qx3nhTDZmVC5f3GaWE8vRebqzx9rZDY6P91mbZfpwaLOcyMVZW4PFUDk4OGRtlhj3D9jc2MTLAveCexg/5YINI8vjI+aXszJTS+Hsp4RgNp/hwxFH+7u8+sqv8uLbfhNf+cLnuHbreV69f5cf/pEf4eDwmM0z63S5VwYWMEm2jtnGOgfPnnD/lVfUPO47opbAa+VkcYz1xjwNeJqt+M9BVUjkYPO46I0pmmRFGj4isDSesrGq6Gt1UhZcUauRrKop16CEmOYjmm6ZfEasvXdaewlNbEaBvuh5usumorosUs2iyivhshkqzsFFGRWZAKCZaTUPoBXGnGrYHbhHdqxsuims21zHyInAmze8TY35UltpF78jgr3orWFta81+Q5qO4pUcMnYC1pG4KTQnMXwlQM+AQfT+tuabBYeFAKjChJtTK8Ua7/5/YuCOBZKBjwFvB/6iu/+8mV1tU97d/Z6ZXYkfvwn83Km3vx5/9t//zO8Hvh+gX9vETJ3iVspLOspqdFIr8V2qq0ZHa8T1Eg+jK44Plf3DHR4+2uWzn39VvOCcWF/r2T67ybVLF7l54xK3bl7k5auXuX7xPGcvneXGC1f4pqQGxXKx4ODwhKfPDrl7b4cvvvaAV+495O7OHs8Ojzk5PFHTxUdqqmHAH9TCJrKxMEKKrMMdltFm7r1I6OA2+ftqI2pCS5+bHBka+V+ZeWyisEX1U81HDwih8TNyo0bFEIaSTGZA1jIFwj/CpuaNoQphnBZcm62pbFqeD6IhdjlFhaHStgJtMDO2ElLFDmQ0m2CfJmCiVQRRepsScGoRw6TUlkNCsy5vQ449aFVrfWVxsiCXQs1weHTEweER569dZnm8YHNtpmZvlzk4OmLWzwUN5YEub7FcLNk+f4blcknfdZolG2pbDKzvGBcDfnjCchjo52sQbJqcYGPjHCcnB9Q6sr+7y8PZPd7+wss8fnKXX/7pX+bH/+Ea3/7Bd3NmS9ttOQ440M96PGVe/eznuL8+o5915HA4Wpws2NvfJ3cdc6/MZmusdRWzjmnAL+qxFDSOzDC5aI4jXiNbbVRRa+ZUFgpdBayxFCgjKXVTb6FRUYuFr0lpa0vJw1CIZmXoCkoJ5knsbZiYFq2Cs+gTNeOzgKjx8P9ob9Y8WXmBVHwaxNDWVVNM9mhdpyAhyIa1JR6rNTgd+C3Djf1Bu/bWS2p0VPfJMqNVppaMnDsRAZIzjEX04QifjZpJlqdSrs3OYpV4ao9qCEuzji3tYo2p+V+AZQqa55u8vqbAHTDHB81sG/hRM3vfm/z4r/Ub/wfHh7v/ZeAvA2ycveTESWYxsqz6qsEh6lMOJaNPUyPMoKbGIonyKaxCU4gEUpL8NzksDpc8OFrw6P5TPvWpL2FmzHJibWONza11rly9yK1rF3jhxiWeu36Zaxe3uXHjIs8/d5lv/c3vYSyVcRw5Ojrm0ZN97j98ypdff8zte0+4t/OEJ3snHB4vpBDLCY8AnAOqqO7MCysXQPcQwdgEC7TsGl/5QKj7HE/WagxHAAuzoWYDmrBpgRqRnQa04LGBk+u+SNDkK2yZlQcGHpJ+Irs1X/07LUAr3A7xh6mNGvLIkkuwcyJj8YCxPTIirQh9zwqkEI1oPKJRy0hLRJrXSRM21BqUNpMi83xXSaVQcE6WI12fOFwsuHXlMrdfe5XLVy5yfHDM/sE+m2trnAwDKRnzrsdzj69tsH+0y9bGWTUMLWsqfCmklPFaVeUY7B4dMvfK5mzOpKfOylRz3+MVDnces3vuHGUxMgzOfN3Z2tgUtjvEQWXSCfRZ/isAdZR6z1JmbescR08PKUNmltdZ1DUOrYc6ytgqNnxxvoo5ETAsOWe61FgLdbIexS2cNCP0JyNZZtbJxXBwGYyJmS0ILUdG2cWmG6OqqnWU17alyGyD851WsEgKalytSsiTQbXKV4lYaJiuR+Igbxoam0SnRnQ79fvG0Fd04fuuPFeCLIcYl0arByZBX42Dw8NIyqghWIsKcWgsH83S7LqelJTpO1BHWQ3XgCT1fVaJC+FgOOLT4JZEiuo7TOySfGNUkQgy7IOvHon6tNfe6PU/ilXi7rtm9hPA9wIPzOx6ZNvXgYfxY68Dz5162y3g7pt+LpqTmALnBCD8gDHhawNjq71DRUcEnWh8xKneY2qatU56fFxDX+oojmal0ltmUUeO9w/Z2Tvm9r3HfDzggzzrOXt2nYsXtrh56QIv3LrKCzcucevSBbbPneHlt53lPe96ge/GGMfC8cmCZ0/3efB4j9fuPubV1x9w5/Euj/ePOD465mi5UIAKRz4LDJmWbVpi4TZh4/KSWJVYwtE9StxwlEsENh6ZbjQs+3jq8kNpEIqyqLGKTbPq9WsR5iyCXSv0NJg3TbFJ+9Jj8wW9KcsHekRZekUrLsdnjhMlU1vSgwql5qQWfG4Hr5mUlCX66XEwN/6vI0aJ7pgavWMp9AabdWBMUJYje4cn4M7u3h6ba+tsmHP/7j1qGVibz1guR86tr3NcR4ZhSd/3PNvdx8ksFwroJ4cHyjzHEVImhxpxeXLAhhnlZMnSk74fmc31NY4dcinM53NOhoEHr7/Czv4+ZXRy13N4siSPwqQJSmefM/2sl2hnsSDljmXNDP0mB+M6h5e2WVQjp57datiQ8eThQ6NIEWdd4KOCJCiOeWEcRnD5fQxRAWoISPDlU5txqdmSHolRjWe2EVhvNbGTxqgaqznUQcysNv3GgrFSAw4wmCzOIh+gurjU8bNuCmRqOgbTotZTJ7wamwk1TEmmygADRo0LNKAmShm15lrlFsmRxfe1LpG9E5unahJ7qolknbBn5L0CTupUlZhX6righDupF6aqpXnGW5TFCVFV255KcU8mCDhLrVlLoeHlFtRDr87IKAw/DhzNEX3j19fCKrkMDBG014HvAf4T4O8A/zrwH8f//1i85e8AP2Rmfx41J98BfPTX+S1Bcwq2Q9RR5k2uTpiRE+Wc06GFT04TA5rgsqakB2ZxQqtksThpowFmeSqd9DsLs+YrYIaNIwc7e+w/3eP1L93n53/hs6ScWJuvsb6+zvkLZ3jbC9d5+eYFnrt2gcsXznH+6jluvXiVb7J3QXEWywWHRwt2nx1x98EOt+/e5/X7T7n76BlPDw45ODpmHBt25/RdnrwRBq90JHLVd58ERWaTJN5apztumcdBJnpT8MAjA8/Bx6Z9X4+mVbx5LI2lazGkXeQwash+Cc/xKOHavEBciacmEoXpESkyL2VDbYKIV2XjzSxskhLZirdquTCfZY6OwKuyqGbjq2+jLM7c8Cw8/P5gbHRbJHq6Ymx0CfMi7LzLzHLP3smCbBpNdjQU8bDdebo8IJEYirLScTFQk3NcloK8hhFyRyKT0kwCp1JZDktS35H6zLxfZ+PsNiwH6lDYmK/Rdx0vP/8C15+rPHvykOOjE6xzuq7Efcw0UmidzXj69DGf/NTnufRNv5f+/AVyzuRUBAmSqUWbNQUvuMRBRm1c60r1Qb0NCPFOgsgELcpx2Q1YeMXrOryKCCCoSnmq+MklnpdHFabnkAOmTDlsgUksvNLnjllSYGxOlF6LsPakiq8GnNO5Tf4zKh58YpoY4RFiBMc7TY6h1eV70nyNxDoqjAEZdjl+j5+m9yFBkxPe9YJa6pT9WSOCqZpzZyw1KliURACkJB2GWdzfdmPbThJ0kwKanfyO3KlFsziF2evgara01JasSVGMtfTpjV9fS8Z9HfjBwLkT8CPu/vfM7CPAj5jZHwdeA/4Q+uWfNrMfAT6DkrE//aaMEt0XRnO6LpFTR5cS41hU3jUlUkuZo5Fg4ddQi5goJqu4CXNLRZHMrNllpjgZg5KWWvc9Tx68bYzXSFEGm5riLCZbeOW4HHNyeMzDx0/53JdeI5kxS5lu3nNu+wzXr17ghZuXeNuNi9y6comL5za5cfMCL758HfOvo5bKcrnk4PCYJ4+ece/hM169/5jX7j3h/tNn7B4esX+yxMgUK/IPKU41Ub0sQUrNbU/UKo9FLwWaTVDEyke7cVhjs0eJ1+ZW6gATHKIZhegeWQT2qp/TqEdJ2YXBKeXLKWE5T4mSrHEb7ZAJE1f3vJC9EQ9bN184ilejeMfx0FjFdcq+WwpuyMJ3ZSRWeGW5QV97cqnUvE2msJPP8/rDB8y3rvLw3j3KcEwdnEsXtjk+WeK5YxyXpNSRHNbnnSbrzDLj8YLFciRdeQd5bZNhHJn1M+jn8kaP3z+OSzZnc8ar13nh1svsHR5ytFxwdP/LvPrJD/On/t3/PX/wj3wf/96f+OPs7j5ibXOD9XUlH25wPA7sPHvCw9fv8ODuqwxjR0o9JaqJTLAVkuiyDQapLql3tiaNFjlN9771iKa2oTjW8WAs8O1kWs/NN7v5i9QyRuM7TT2LhkknpFyELKOxgC2wzGIcSO6TQRrRf0lkui5NDoK11GC8+bT5iytzzpE44Ro55sH1q6AqghrOkSZGSdBSE0Yb4Nv42tVVU3ZTvafkQFtC66qifxfMGrzrZNQC2fqpyS6L1hrv03WXSGKUIMb9DhhEgrw2+EExzOOe0hgwdvoAiLjmYSntTLqON3p9LaySXwE+9Gv8+RPgu9/gPT8A/MCv99ntZYT5eqmUUmRr2sB51dHqtluYy7STCqcPpZewprQ6vSCkvMJ3PaAYLRr9RAqf3ZXIm4mmJx61xaFi5FrI1jEE5tcDY5V/yHIcGYbC8nDBwzuP+eWPf0GCmXnH2c11zm9vcOXKNi/fvMaL1y5w48o258+e5cV33OTd731eOG9xTk6WPH12yKPH+9x9/ITb957w2us7PN59xsHREYsx/KdjU1avUwOp8xTBEpoF7Iqtjb6LNVG5h4Al0biwRqt4VtUJjdltxBxOxzt5pTS1qaEy2lEmk3xVyViUisSGyUl2AA5ya/PGbY9rTuA+Tio/SCEG0saQkRU0VZoYWIkujRoykI3BOrDE7OxFvvLKl/it3/dd/NRP/SwPfvWjdH1m3s+wWcbo2dja5OjkhAtbZzg62GfWdyz2D0kd+PplbrznBm6ZHmdtbc64XJK7zPJ4yVq3zmJ5zKLr2Dx7kYQzm62RliOpn3H2lc/w3d/zXXzpMz/N65/4BDsHC/aLUTu5POaU2fDKxZQ42yc2c8X6RD0+wDa3J0wWq3hrBk59DqQCjnuXaZmiIk2xhp3puRb3SS/ghAFaGWVbGsMapqrNFQTj1whDLz49y2TaNzl3WKm4F8Za6IIFUSZ4KyCuptqJgDdr0BjqT5iLlz+Bhi6L5yBsKJDnENO4zMByMELEjx5j7TWzruY3lKJClWnXZPZEJGdRQciZ0agenube9BcypXMLymGNJC7Om+oeMYUJGvEwiWO6dzG8w4JiifpX5pDbxNqAebXGjS44mv+zsEr+//1SiCBOSwUmeR3oy2QjaG1xGmWV6n3qmHfN9rElZnEiu1FSO+lFGUrxu7KZFoMRdo56n+XEZIwTBlGtf+cIBxNTQxkwVml+3dU85vspK6xm5OXA3nLBs2f7vPLqA37hF38VM5j3PWc317hwaZvr1y9y89oFXrx+kRvntzl3ZpOvu3aOD+aXoDrLYeDwaMH+syMePXnGK3cf8eq9Jzzc2eP+7h77J0u8FKprxmFHNCijwdR4XzWWl7y4nOKBjZuaoxaMgeoSUiQzRstTaZdy4H84fRyI1RtdKppPrGYQqlppQpGAbUxqyEDDp4O1LX7Rp4It02CUdvjUIhw0gpNHhplQ5lWs0Ak8pVhl7exFXvvlj7GVjrH9XS6sb5CHBd1ywVq/xeHimLw8oSNzdHBA6nuWRwesz2asJ4dLVyQ5n83AC6UM5NwzLAfW+jWWiwXJOupyyc4S5pvrbObESRmZb2zxjg9+gI3za/zgf/HDHC9GOuBCGnVAjrrvZ2YdlzZmbK33dMuRUgfSyb7wzW6lGVCGXALeCriohHtGYAEW8FEh7JFdsJQgswZpuQJiQGU1lK+eFCxbwMoeAwuI/mv7vFC8Nh+VhCbUDFXDDFJAWsllH2yWsFknrFgpMi1hKrVMMMS0P08xO3KDSYJSKwvnWGvuJHWoFfxNDc1aCzEjPoZFSIBTa5kGVGQUiBOKL7WUCQpMMLlyem0ZteJq8RT03arxZ+H7v1qhZVJee3wn4no9Jpw3mmkbzdflhFv4rUcvR9j7/0x0wP9FXi3DBm1gb3xTF1ey8SobxuqwCKGClIH64sIOw1EufAhaM8FbgG90uBw90EoEXGOw6BIjPDEHY6M1dNyEQ1UqyYO1QVCXzMQlN3XtizcOqiiMORrgi7HyePeAB0/3+ewXX4+NCfO1njNnNrl48RzPXzvPC9ev8Py1S1y7dI7zV85w47lLfOM3vAMcxmFg7/CEJzt7PH60y2v3nnDn4VMePn3G071DDg5PWI6FYjWUm8L13bIwSJOdaTuSmld4cjWIKo5n+TooyRUbwYMjV9wZCEtWIHchWsCnTVGcyeDKMLpUVAvSKgaXRwfyXiFwT0WiyBLbfybokppLTSxBanCPDvyxyMnNUmJ9+yJ7BycMx4dcuXCWZ7uVOp9jZcTLyNn1nlIqa15ZdJmjo0O2N7aY4cxSxzDbZN7NRQNMTk/meDhivrbByeKE9Y01WCzBZGTV+5LB56yf2eL4aI/Pff4V/u0/+b/h0ec/yWJ01nNio+9YlkodjXmGtSxmg6ageKyiwL1VWwPytRYcZkz0hWyYxfDbSDBEM7MpeaGKPmfEOo4BCmNyKomUWngpkPV3TX+gwnYVvL2u7nNLCGZm6hWZjtK6yhOiWV7xoU5YsgKho8EHEayqqLSttzQRHV1BLFxfgVA0umA3UtI+VYofbdAAMlx7uLqGnLSBK7WWrxpU0TxaZHpV0Qgb+XSn5NRR3PixhoApHkkT0TQwo41Ckz6iKS596jnR/jvum4HGzo1OB2TEYye+l0y13jxcvkUCdzOjaadXlNm24p6qZA/IhMCHHLxUyeUJ+ltq6z3wXncmY/To0LQs2orhmgdG8TQZvFg8wy48GkrAARlocnIFlBIL1abTOtXIKJOHqjHEK6gx4iZcdqyNuYFOD3eWywUPHi/ZebTHFz93W6ZROJsba5w/e5bLF85y/eo5bl2/yAvXr3D1/FmuXL/Aiy9e51u6DF4ZFyN7B8c83tnn9ftPeP3+Ex4+PuDuw6c8OjjieLlkKDHCLXlMd88KiDTlWDALatwvLAyMmsS5UN3o43m0M9dc92Hw1TjWViRnM1ItIfdN+mxLK8ilKXhKDZrWKgo0qfBXY7QSJzVXxp4op0uheCGvbXL20g0+/LM/yctvu84nvvJpchmp/YxxOKZPaxodxZJudM6tzeh9YJYznjvmV65zsFiwtr6G1crRMHBmY4PFyQlb8zWWJ0uNHsvG8vCAurXJlTPrHC5POH58n2FxwIPPPuV4d7GyNSiFUlcy8QocLkdOCuS+Z5YzY87RzFWg6lJruqs2SSnhScZkPlX/HoMIwPoMqWXaleY63yxOG9uCuH/JwHJmdGXEGirdRGMamFGEv8nWIGut5NQqqRIZfKMbpilrd4eZSSavQRo1kqtEb8YwVmHlDSgp0a5rUBs2+Yy3e2akGEqdGH2cgqWifeDy+pDgV7chJpHItaoeaNYMytLErFF153Qu50EccnBZay3xPVYQibuOW0FW8T3NptFxrVp30wHURSZSpoSuTjCV1YiBhvy63+T1lgjcjoj2FjeyHYA5/FAltmnjk1aUsmSNIhanW8PUouRqTmPW/jcitqCBNEHlZvJ4VsYQcu+QdqfU+JohkKHxraeLj2VnpBDSiE6VYxafx0AAlanNkH1CJ2vACB6TXBxKKjFbL9NZZjxe8uj4MY8fPOYzn88MSdDG1tqc7XNbXL1yjhuXz/P8tcs8f+0Cl88rO3/7226KJ+ySZ+/uHfLoyT637z/l1XtPeXDvCY+ePePp8ZLD5Ugq4uc0pWoX/QVCaZmjCTOG0f8q4xBToDkkBtmRZKJnSqZcT3FTo8SIfC+KKtVEwXdFcVqbz+KgCcwxa8yKmtBtw0cmFLI7Ks61d349v/gz/y3/zr/1p/jMT32YNB5RxiWsbVAOD/G+x00q1r4WbN5hlhjKSKkdaxvrDMslqTp933Owd8zaxkxqy60tiSiOj+k3N1gsljw9PGZc7vH6pz5GN4xsHj0lJTWj+qR7YKOetfdRtSwHzm7MWe8ySzdm62ewLrN06ML7psJE7FVOEhukiwBdU8AFxnIoQbUMaCuCczfx06JydEKhp0qlmIIVBLYc2WtFBmFW66RMJBrgLTApAspoqrY+SSZEMq0Ca5nuyqJGVZz2bORagTM0gzObhCmCSKISqMrmU3C7W9IkIZ7gFcH8MeXepUj0qBQ1kjAorL5is+WcNOjCXe6b3napfsZSCyE2KTeVJOsvFP/bEBOPpqW+WKl1NRszkIAy3WXAm71BxAsf3jRmvkUCt+hIHg2N5p894UQuGtN0wiXxi5vn9UQVCxw8tQbYFM1X2Gt7EO33Nk6lGyyDZG/oQJhUf5H5Ck0Q+8SiQZJaI4bYFDHIIMU0GiuVkcpQRmau4aAWkIq1g8bQSvdQLTpYl9HEdI/hxQSTw8U3ded4POb44Ih7dx/xK0BJGfqerfUZF86d4dqV87x08xK3rpzl2qXzXDizxUsvXee973pet6VUFscDT/cOefBwR3DLgyfcf7DLo2eHHJwsWdYyURbVwFwJF6D5fQQPOAylcgrbSnThzTq2jRLTftP9EnwVB1vEXVELWxNUB3UXWYyohzqUBaVojSxGrZ+cjD5K4LM3XoD1K/zsL36Eb/qdv4Of+Tt/i3k35/DokLy5CUcHbKyt43UIs6ZMWZzg2zfYWt/kZP8Am/V0GMPxkvXNLU6Oj8kbGxyNS7LL87oMS+b9Gge7T/n6F88zXL/IXnoefvE+az4yuLPR98y8ssjO4SgjpmKJjdmM9V400Gw9rJ+lphQcX805lNdLMHMaxMCqC4D1pKyqsHdl14l2kGk8l5tBbZGnqFGUovnrRh6FoTeooQ0QMYiejpInL7CcDlexLAxjFs6TGoG3yjB90MFVYoqCprNrGpJwa1H9cjLREkVJij0aUIlSJUUEF+yYIk7IjkXBvnpMVELrpVFTzRqneyX9T5EkGCnUuDCWAfdC1+S7KUZlV+HUkwrT1KVpFXkCaihO23Bsw6ipTvmJjKRbYWCTcrJzJXzaBvWrJgu92estEbgNmE1Wo/JZWLm/QTMh4hQzYvICMQXrbIE5Jac3mbS0YQLNn0B81sCZ2mf7qpTJUXorUPjUbGgNiil39+jMx2w7q461p1KUfbgtgzqnBTbruvDYrsrwgzWQck8OO8wSNoVuDRfU4AHdg6wM0+rEgMFjjJQrg+1SxkrhZO+Qu8+OuPPqfX7hoxLlzGc9G+vrnN0+w/PXz/H2W5d47tZVrl04z5ntdb7u6kt8/Yfero776BzuH/NwZ48Hj3a5fXeHe492ufd4l52DA/YXY3gQSy3YGr9Nk+4+shqOHCpBS/SurFp8XseQ7W1namu2A9RTwxBFPRTCFZlYzAb0gFFEgjBS10WQF76ak0PKvPz1385P/fjf4P1/6k9x+cV3cO/LX6bmnvHokI3NTYaTY2pKzHPH4viQvLZBOnOJajDrZ/KC7hLzlKjHR8zX51NfpTcjhRS6Dkd889tu8f1/9Ov5K1uP+fjnZzz9zM+SyjF1WRlKkZxd6aHELCOYj2z2xtp8RsqZ48WSOhuVnUWSgNnk+mfWqh5Z5Mrvo1H4xNzJEPS56DFUNcHShF+rWbgowqVzQBvqK1jQ1wI3cA/5vE1sDPnTeCRIDqRVA9RXz2bEp8M1hV0DxPegWSZE8hXvE2UuWF4e3trWMPQ0VcQ5unztvYRKmibGc0g54AYP/5w2DLlV9BEzHFUEXXwXcIqP0Ay9WpYeSmRzJrOrPgL1YBVLmt7ZJA5NvS2lshKQ1pDNpr5ax9TaxKyj6yDXUY6lb/J6ywRub7VSlCJEadMedsOoW8bcDM89NdghcNLqjBYmQegoDYhZj8X1wEaXiVMzjyHCTHajSymqysxYa1CkGpleP5tp4/LUwGsOZRJqZLE3auUk6QEm1VGYqRzvUJNH611Zt+fE6BbTOzy63uOKcYNP02aIZshQq3BHl/l+m9RTWzabEpnMslQWB4ccHBxz59W7fCSUpmtrc7bObXD54jYv3rjMjeuXuHHtPDe3z3Hj5kVefukavzXLbmAxjOzvHfLwyQEPHu5y+/4z7j56zN0nT3nw7IBSB3BtFktpkkobei7FtOBrE4dgMvmP8nr0GgozQhhSp6ZSBUnQYzNallrOyHo+tKxF68SLU3zg3KXrXDlzkR/6ob/OH/vX/nX+0V/96+ztPmLWz1gcL9lY2yCVkaPlMZuzDZbLBd18g25tnUUpWBfDkZcD/VpPGZfi/NeKz2eikAHHe7t8z7d9Iz/1y/+Qj98+i88cu/I89dlDwDgcnaPiLJdLllVK2GTOLM+mMVdrszknywPgHBF+BVukNlw3ppvXMZprCLd2BRU3JRCiZ8pkSkFfYquxjlPTP3ISDY5O+ozS4A8jMHglETkxkQIyjdqWaKKZ4qoqHaDGHk3KeLMFhxpZjdVJT6FeiSM1qNcyQZc5ZdoUe2zVmK05kZMaetVNg4BrZYzv7ebTvncvkz8QROMwqsVaSsCija5nurqkcm4SnCXDxuj3ROVXp3Dk0+QlMyN7olI1yamKrx5EkQjk8TleTwnnLBg2MWqkTE7+enZv8npLBO5V5stUigzBhEitQYlNcqKCLFbV8dVmblPPc8Ao7o0qVkVNi+g9xmHgEYhrXIE5kyLRDXLXsRzHSZ5dGqShCpGCTvaUWslfsRBGVK9yCjMFzqbOLJaC6phI1WJ4h0pI9zZ5xE4dYHrAFWGFZi0jDVVW64y7RCklYCRl/MKcPabVKDZUloxaMGgs2eFyZP/xLo+ePOMzn32dYs6sz8xniTNn1rhx9SIv3rzC9auXuHn1PNe3z/C2l6/ynnfdAKBWZ1gUHj56xpPdfQmK7j3mtQdPeHx4xMHJCT6OWKgca3TMuyh73WBJU8LFWkBKzsa9bd41Fiq/1LiwXbey7IzJ9WOQgkvwg/NwyMubHb/wyuv83X/0D/l9f+yP8vf/Pz/I8bNdPBlH48g4FM6trTMORzDfYO3CNZZlYH1tTbJxnDrr6eY95WjAHfqNDRaLBRt9ZntufOfXX+f13Z/nR35ynTIaZpnZ9RcZv/gxkjkng1hMqcusmbEe2fG8U89A8x0rnS8oKQiTDemLNK2MqmAaY0H3K4khFBROeZKEPN3S1DybBnWkqFxhYvBobYZ5mzXbUQWWUlhlvEAJKESBt05WxhYWstaptF3WcMuMZKvNU6w1MtKogKvX6FU0BaUofE0cllsVEN+2uK+m0HiwaswY6kj1MKNTOUgXTBQPOGUaKGw23Yda6ldVF6uhfAHlxFsGL4GttlRYvazRBReetiJuCK0FpNOiXKmCSYn7UouzGFsyGD8T93Wypn2D11sicIPKtQmXQF+6nVikBnOsfr4EHtfGFTkB4QWf1cyCxnTKotTkZTC6k6sWfLHAY6uEH7k9kDZNAWL4aINZLEr9Ov056NBQhqvSXQ9HYota6mR76lUsmORpEpHgYDnLOyIxTZrOLulsYz67Q8paLK6VMfFYh+rUUG3Ne5tUcZm08jdOhnkOeiNTlz5NkxhksFRq4eC4cHg0cP/BPh/75Gu4G7NZx9ZWz9VLZ7l19QK3rlzkxtXzXL90jgtXt7h28zwffL8UecvlyHA88nj3GQ8e7/P6g6e8evcRdx4/48nBCYvlEg/vz1LDKjNgL6uV4kt9vwg5XVxzicpDohOfcNpWLvs0LDqCUx3YsAW3Zj2f/8Sv8A/mM37fv/Fv8GN/9Qc52ttnPFlydqOHsqDmHs8drK3ha8ayDKzNshgbXeLwZJ9Zt0ZKiZPlQD/vOeeV3/ctNznMn+SH//lZal0je4FUWb94k8V8zlYqJBtZjJrENEuJmclnfJZgbsbZTtas/WKfRRl1Ha7SfRJ61BbxYqp7M/Ky1XSaGk1iM7GMKtD471H7qEKLA77WNh9Rh39G9NdSa+DSEWiTcNyxhlguWCNtyIWH8sRSoUbWXYN73Zr5ySQwsficNm/TfGWa5S7cd2gpVXwvCwqvRmgaDf9sjc2+6S6CyliTpnG2sBIF2akgrX9y0nodAs7o4n3WuOstDMRBWUtT87Yq0Rm90tnKg0hT6Gxq5o6hoJQUImiTlmI0YvQLRgX1JVFB/UYI3E6Y4CBpew6jcQ8oAnwSAUB7DtqYpcrBLTW8OaXJirIG7tWMkppb3UoU0g4Jn2wdQSVUcYssQjdfB4dPuFgTI0jNKROb1iNOAvtiIUVrxeT9kIj9aI2vGn9fiiZWx1TuqdFqbY5gndRerfQUTBP4YsO6geXQslBdi0IZNPoXqOJoWfvoToeGwNZxkPNa6ic6Y6QTMAzsPx052F3wxS88oJgOmG7Wc/bcWa6d3+CF6xe5ee081y6d5+alc1y9cZEXnr/Kt6bEWCXeODo85uGTfR4+esbd+0/4yt3HPHh6yNPjI44WJ8pgciZ3MwWKLlPriHmCOpIsx5BlVSoaQBvMlK6QUbA1nPnyCIYT+gQvrXV8+iM/x7Nnz/hf/dE/xkf+0d/jwVe+RBkXeOpJtZDLEobHnL14i6OdBSdlpJtvcfz0GXltjYL8Y873CTva4Q/+rpvcOf4IP/7x64xlA6h0UYGxtkFeP8t8PGZtPTOMiYPlyDwl1rIx7415l+hnHSlrcG3/7AF++T0UZCMwZageWWhUfY12Zuaq9EoF02SWscIsa/pql0xwxKkGcHUNILYIJM2idYwgnGgMr5adV0nMvU4MCzXKBXt0Ac951brPiD1VwjufwOWpTRxXaQM/PMCmFESDUguNZ61nmqICIZhWFuIYAmYMXkZtkIdNkXbFhfdpKLVDDCpJNAdSLEVzOPZDNAtrrKFJdRojAIlETP02zT+tVVBpZ0kJZDBXGvxhLtuCHAHPXfz9FlvCmmWiQTq/AQI3wMrPN00ZABYshsC52oN3xeipmeGJMDMHWDUjU5C6cwvcrEj0OshrNJmadwZq3ljQ/RSZJQyIP0uRuWMS64wEPTEwvRQBtNbozNca0861OJpBu1ebZN56+Aq+OBOdqeCaM1nHcDUMHBgTXh5NpdT6AV6nxYwZXSv8ghqmw4qY+RhYaaQSraSddZmajbEm2iCGOuq5jI1qlYQRWspqjg6VnUdPefJol0997jVVMbnj7No621ubXLt8lhvXt3nu8nmuXzrL9YvbPPf8JV5++apw8CI71v2DY548OeDhk33uPt7lzqMdHj7e49nBEQcLp3jBfKBpoROK1qKCNwOuEIR0YuOsHdzjYBhItbLuhZfWMnc+8xn+wr3/F3/gD/1hPvhN38LHf/yfsLdzB0tzatfD3i57d/fpN+csa8dyb4/ZxhoUmFF4+9VL/O7f/jbm3S/xoz/9aT5z5+1R4YllpOTTsH4Dzlyi7j1kjrExy2z0GvfWJ6NaZagFhsp8Y8YswTDu4uWYNMvYmCJACtoa4thOptIsZCVQ5Q9dUcKRkhhNQZ6N7LJO/5TK6rkn4ieVRLSRXxba7lVgyVhW/8WCLjiOgkPkXeOkHNWlQ4+oiIXw1w4KawFBOwhPdxrzIpwIMRaAdTmwbEE9ZRyj8hCcSQ0Y1VbsIw0oyBNfW+Vbs3eOTL1l3w4pJ8ZxNWlJ14b2fG10vWiExi1sLK8INRgJi32XuzxBWG14cPEw3GrNW4JbXsup3pvHM9YXFjT6GyBwR9iJJksrjonJG5WZtVZIQCNxE8wg910EYf195xajvYKXHb+jDa1tWXSXTEKRFrSM6YSujmhKnbjeiRTKwrYJ9KmpQTvB0cWFb2dLYZCjim4oIdNFB4mconTNOUeZOD3c8EhA2H0Nf1/Q783xvWpIihsnliqc8KvwJAucEaYSuFaZ35Bbdz8sXU1jxBoLps3f9MaJNd2vlMCyWBytzG7/eKnysMDJnjg61kCD+493+OXPBg5oxtr6nPNn5ly5fI7rly/w/NULXL14jmsXz/HS2y7zzndep0ty4Stj4eho4N7DHe482OX2fSlEH+0ecnC04GQYZFyUDZktOS1vNK/w7A65Fs70zuDOJsaGZR7sP+Ov/ZW/zPPvehff93t+D5dz5pXPfJbXvvAFjvaOmeUNjg9PyMXIqWPTem5c2uB7vuPreLr3cX7mI3+JT999kUN7G7O+Y6TKN4c2ws7wMmBrW5ruUp21PrGZ1J+Z9/2k5JvNEn3SVW8s9zlzvMPB+hmNEqvBxXY52g21BrRXGSrkoP5N68n1Z81iALl3B1c5Pq9lrUGns4BUnCprUo/+SGSqKVnQvy0EUE4dW/Ys2MY8rF27LvDgGs6kCqjLYUm2oLpGUuPT04p+kzM1Bss4YO4MRYeS16q5pzmTw+8u6ePjpbqyHTwpErtSlWyMhKTep9aJmB1dmra0Vzn4pYgHZmJ9zCyr54aeIzWGZEdW3wZ3l3FkSezX1otJOmhSEXpQGj7fUOHWz2jwKDEa8TdCcxJaYyRNsTG7RUedqPNVni29sJZSGBEF0yMyyJTSKc9qZSpTl7YylVepgVyRgQ7Vac7rXhXcU1LJo7evYJcSWFkK+p8VZRvyVLEJs8Zah14PrnXjmzWl8LBmKF8D8wtowoK37qtrnLJ9BOVoQERr2oRUObIhm6AYlcFNAFSdiSHjprptPSWOyspoq1Ric0ZTNxgFHRaeDRUvRpHz0cRCyGZ4eL0kr/Re5IdiBmUEF28Zh5NSuH9wwt0Hu3zCXiXnRJcSa/MZZ7bWuHH5HNeuyF3x8oUzXDl/jpdevs473nGTbGI/DENhf++Q+4+ecufBLq/ff8qdhzs83Nljf3msrHcs1KMD+h4254Y3wlca2ciZy16594Vf5S/+6hc5d+0yv+W3fDvv/1f+EGfyOt3Fq2RLDMdHrG+u82D3AV/+8if5P/7Zv8Fsc5sb7/wW+s1NzPoomdN0yE1KQ6/0s54xSsCG0za468xcVkNdl5h1hvWZ0U+YP7vLkzM3waKiCcWpmspt2EJkaKbqzgNHViWqjmL1mBdpNdal3lfQ4dsyw6ZlKMGVS44UnkWZsrJUMSaaYtJZDdootYpF1QI5Af95wWKCUiHR9LR97shWYq6iMQxh3eseXjpRObiUo5Yz3nU0VlkFKKrA3JTI5Ejc3H3yz3FW/SlcWXsK6X/Nq+ao9sXKhK4B4w2w8KgOSh1lJ50SQyQtHr/Lsnbnemp9GNMkHK8MY0gHW6ezhZvUGr3aZ2XK0Dh1IP3ar7dM4BYObBOdS7aJEqUMEQCrOzUby+RYLbE8mHxMVL4nVo5kKaTBOgITKawyonFlWqTVWlllGj/UBDxxchOeJVKLmRZ4+BdghLdJC2IaANu41Q2nLtVZNlWnqWFhtYg+FFitGTFxXmrA5guiwK1NMrOAbrxVIGlyRXPX/7fGnKT8bVaHMrdaIquJTrbHIvLIhmopMQGFwDm1UQdCHBHvUdBWmSuflzggT/F981Sq+zRBplY0gMEk67bIOEaD4+XA8eORR4/2+cVPvRp/n1ifZS6eXefSxfMxoegCVy6e5fL5s7zz3bf4uve+QMJZDiOL45Gn+4c8fLTHq6/d459/7L/lCGeohdHVFFsuC13ObCZ4cZ645s7Bo/v8/I/9bX7SwGdrdGvrWNeT8oz5bIO0tc35G2/nhW/4Hvq1MzqouxjKHNUW8T3ytLZMBXj2ODAdIzPUkb3FksVgnFnrWc+ZtXlmxMhDpdt/ROc+OSlWnFC8B8zX4AGPRrWWb2dJa7us1kENfLr1NLTEm4y8rpwDIzvs4kkO3mC/Og03aZPIm0vjLAnTHSsYJfjfCq2lEirC8PSGyHa0j4YiemJrNncphReLYyT6TsrjHKeRuAKRmXrVdSYL6DDWY4NUiYk/QNcOlxTukk24FayjRu/TsS5iQpvIbhb+L7XBHUBnDD4V3TT/JPmXAMTU+KiyzRt0myAwegIuUX5pkZ0Gv9xCYPfrvN4SgbuVeOaCRlLVxpYMtwUqnX42FMbOpG5qQSmCi4e0K7fMPco6dzUfW0ZSXG5hXgIXPZWhV2lRYzm1AV7RRUfXMnFZIxsROmHisnrFgiPlWQ9MQ0laU7FGdhC+xL6S9o+uAJ+mpoouS9CDAq8b1KyfF88bPEuCPpXBYRrUyq0mhDGT7HYAZR1UTsaKFGIhWe9SNDSlPvRSsdSDJVKXYKLbecBOPuFRxcfJ/pI4EN3l1y2zI2HzQvVjAXtkUCOA2CXCJDsyjpeB4+PCq0dLvnx/n1/67G26rpJmmb7vubC1xdULZ3n++gWev36RqxfOceX8GW5ev8h73nGdX/yvNsP61llWKMVos0Er6ht0Xrkyd57rJK3xNajv+Q7SrXex0c9JsxnVYCwWpmJaU0N18DGc9FTZVJRxjr5kXp203KfPmbEUlmVkq5uxNpu32nziPRP3DAqz4YDOB9z6oPapuumsC3WxAlwzRlOioGRBcUy01GQesuvwcYlfYWXUr0brtBbRXlMRZbXWEk3vqoBOZKS2ygoFPTqUcZWZ1pbBN79rw0OgkiPjLi7rZq2rROihpwDYZsvKW7foYK96VlabH/ip1l3g3u3PGuwY5+SE1YfQOSouJtofrFhcJZ5Jap8eBIPTMzGp7fbHfvZmfod6DRbNz3ZNISYsDWas4q9bxL1Js1I9xvs5Sen4m8bMt0TgjnsKAeSDvtQYpjdNg5OTfIx1JqeAi6ewpJKp4eF19ck5yj8r7SRtGWcLHCExjczcAnpoP1cxhhRS1pahRqbTegjiXSaSZU0zh2hLK5sPJXxw0tUx12DWMq0m1ydMkM7E5QzVWUnaEKnaZKplmelQ609VEpP/OC0j0F31qqnbJb4LUZpabEwUumKWoaTHqVZqiJpwSO3oCXlxu8w1M4bYNDLIak0aORNSWU25DtgIbyOeXGW/WSgGGw9MWV9WDU2tI4uh4ssBOOHZ7gGv3H7Axz4RRmVrmbMbc85vb3Lj/DkOjhZ0Bme7ji4bB3XEctgIuDxEFjGoon0HOekPLOZnhVmOMEsaSABR+rumdGtgTMJLjYyNgC4Si7pkfTik5NV6FUyW6ZLEF1sbM7pZChgkKHrLQxhHvFcQyqZGGni4Lor7j6OJNZMMGMnhJzxaO6M5WALR7dOBoV7O6pC2thdIdEXZuoVmAAtIYcWSpQlYSlRg9dS+MNTrAWRR4QETeQniQDdBeNFrnrJkku5rSp2yXTzgwxTeLGPALKtCuVUHCSPnXnh1HKTt51qCllqiF1RCQ+yv0/egqXBbVlwCa7XoV9SIV3Y6Qz9VZbsL0mo6EZJJpOdigun+nYodjQYde6yM4/8gTp5+fS2jy9aAnwLm8fN/y93/nJn934E/ATyKH/0P3f0fxHv+LPDHUZ/mz7j7P/71fk/NcQKlhFcFzVlK4n1aBADTYs+xcmLIDdPg3Ti5tG5T/CyB0SljbauuFfeto24YE2LSyn4nVFMKNlKqBWbcONrTiRufF3CHmU2WEES5lJJNmWdrbNT4f3FalZHWCGKgbFx0QI8GEmhnalVJThzy3cZamfapTcGiRDBp1zlRo7zSeaZEA6z5ihgmXq/ZJCxIqUn1dU+7OMRW2P3q/mb3sB4VW6BENVDVOkeioxVE1r5bbYEq6JakHMpQ+RSTEqXoAOjiECixwww4WVSGxTGPnx7xpV+9y5mjBXN3Zl3meDHg4Sg3WY3SZMjRBEzKVN95eYvv/iPfzcOnB3zl7mPu39/h2eERe8cLyhh9lYAwPMzFMgZeIHXMSVQW5MWxDs7oQWiIgjFPzubajPV5br5YbZmyHCuUOlmpdknP1kwN2xUAGv0SD3ZVVJxQmWbo4owe/Ckvk/qvPUNMGS0RfJttqmDCPAVSEBtGDo2Gewkml7ChWlqfSXvQyLE+bcrSGy1uGtYQQxkbvTYVUWZFPxyjuRlug6bs3MzVAI/rbcOQox0kr+yYDO+hkGzZegBISsZaXhDPvyVKKXVhSkXA0cYYQTSNwd3WptLeKjrIPVSqDQ3FVvAUIXsXE2jauhJemfZAo162UWf/c9ABF8B3ufuBmfXAh83sH8bf/QV3/09P/7CZvRf4V4GvQzMnf9zM3vnm48uicI6TUFO9fUXbaYwOVIa0U22iXXnDkHQTcuDd0PBXNFLI/RS3M05hmrqp4eurBZ9yjs0gWXYOLE+T6LMUWrRtpJIo1UJx4dwpqFZq/rQqoAWNPDUtC5KD5yzsq9Wd2ZKgo/BxaVh+K0XbgabufpnGVoGCbOOK69CLvZk7lYqnqIMjlRw3TNTGoEc6OkA6BWxxbfV3UrcRWY0y0EZv6nNwxE0na8PuW9ldgimTUxZcVEVl8+jUT2ZHSZMGx0Gs/cYU6HLjGNXYFDB6pmZhi5jRRXZVujVGEmNZhJRez676OPmuZxOrRge11JjL/ad8w/teZL65hlU4Phk5PD7h6ZN9Xrv3lFfvP+Leo10ePNnjyfEhQymUCjl19Klj8JGujKTlMTknlt6SgQpoiHKXG7Yp+X4pleUY8mcf0Oi4NCULgtAE+/VoMHCNLH0aAhy9n2YJodo+kiGaHatsHUqN5nhLYxok6UXEp2gYlraZiphH8mjvhBlHVdeqwtZIn/xk4lBuPGxBZ5pAX0zrsvGd0xhjTxp1z5lYVKXGs44sWsyPHPs/YoM7dazhqCh8WbCm9lCrEJW9B4ss9v8YVU2NOJQiy/bqIaH3qeKOcKGolVb/rXjkkydRUxA2S91UVVWAY6WZrSlxGgLqbPoQb/f8DV5fy+gyBw7iP/v4x9/4HXwf8DfdfQF8xcy+CHwz8JE3/iVgRaepaBHhcBvBorYaPUJkisZJhZBAr+h/U5CMrFeLqgUYUUIsOr9d7qabTmRNYHjgGjmaNqCJOmpqepzYeoLmlS4WhR66zvUmg52UWgEfjE4INELQkFrYD3w3Lqf59o5BYxGsIQihNGyTliFL9GEponOyidzfzHFwLWbHKcWniSVhNRxZxyoLryZhUd9lUpdigjV4LQxjmXC+lNJEoSpELwEmf4ZkGg+VwqNCDyMqlVopVHpL4CXG8SnLS8mCBuanehOE2Ko1d7TQe0ssRwWgzhoNS+z4ZTeHsVBQ41AHrNOlzNJbAzgOoqyD0qvx5Ve+zJ/7S/8NV2/e5O3PXeaFaxe5fG6T5164zDvfeVPl81A1nejomIcPd7l9f4fX7j/m9YdPebh3hB/s0DFIhVgLfUp0KZMNZh3gMVfVR8wsGnbq7XgEbKumwR1VEFaXW9YtxkbbG9OIrGj8+hSkBVNkNKR4bI1GKs3wQYlNrKc4+JZVjcvkGpBbp8xU72l8baclNmEMlTpZSsgzVtccGb9blRLYxdAgDv1qBqXGfiP2uEWvo1VkhTZcuNFYRx/j4AWPqehNwZwatBkNlxYniORtCMyna9V80oT6WqOZiE9QiOiWaQXLeLPAsKn6bs5SKYqeakqCptgThxbm5ADKW2N0WUN8l7W2a+hH3uz1NWHcMSj4Y8Dbgb/o7j9vZr8b+LfN7F8DfhH499z9KXAT+LlTb389/uxNXw5KoExlnrryKxhj1ayzCa9ymE5n7ckQHVjDqqJ5mRoxXhvHYuO3Q63vO7l0lSoTn8i6U9Z7lHSncDsjGnk1yl+iNBSUMrgTs2LUSEor+KBdG0TGa9qQFpBGNoksmlFUS/+VaeeJimhBYNVwAzUTbeLmqoGZTEFOHsAq4d2dsWqwbK0xHqqoJhggshdlVaDFOYyOjRHyo2Lo0so/RllcnoJ1LYUlgOeYBlRxK9RR2CSe4j6kMKKK8WhNskxQHmsR9OJtkcvHIWdB0J2156LMqiI5tFcNYiBX8ELfzWNhxc+mU1WJe2voT7e7FrCcWR7s84XP3+Zzr+zw06nS9TPm83U2z2xw9eIWL924KJXo1W2ubJ/jA1de5IPvfwmqszgZeHZ8xC9/+Gf44X8ykvpE56I86lAJa1r3MFdKcb91X2vOclMkYX2KaeBplRwkDT5ok5lWlYwy2xL4rtdonkVGWpD5mDWBStIa6jKBzfsUiB1BdjUy+LYmxUVuZf2qohzDm6RBBtVUcpZayeFLnEzOn8KEdd/bHmwDoN0jK61lVVWbQZanS+Rh0fwLHB6gVXkUHf4tdkRV2QWfmqLqrVSbqkb1s1BfKA53IikpEeizrTzhkxH0v8Ycav2uxh+PtYQHI+dUczhG+oisEPBWjFWrVKiJWpn43m/0+poCd8AcHzSzbeBHzex9wH8B/Ef6lvxHwH8G/JusALiv+oj//h+Y2fcD3w/QzTeVXeBTY82TU5O4sMoFrGEDq7IkIJOGN8k1s4K3iePOmMG8aGxXFQE+RSbfhq/WsTA4MSk+zNinm6wRZZVxgmGm7DXwOg9IY5pcTVQMIfN2C2UkgQeHvaS8T/S13DS7T/SyFQdVgRnGOlJNMyOtjpA0Iq3d3FKFhTqrKqVl0CSbGkVq8EV2hgYdLKOk1TU5ZiVkzDYxbNqGUenbGLlpgkv6yJQFX4agorrWZJF4pCB/mHoKptECJiAVQ/4ZRWpWIxzrlL31XcbD4S7mmqhJmOQa17xtGq7YGaTNS+Qk32Rr2bUXzDJtLnhROoajuaFWR7pxgTFinbjUBiwXCxaLBU8ePuazn3mNlCpd17G+OeP65bM8d+UyL9y6zK1r21w8uwm+kG88Rh8OjlAYizPmGRaHZ5czQ1EfAktY7kk5RyOuBC8/ggIQVngQgh+lF6dw+5QVGGvFrdPhOa2rqCLdaXy4gUiAohIUnhzNUlsFZ1LSbEpbeaDgLuzbRLVsU5UwU3AL6pRFQBY3PE9rqvGLWqOzRlPaImMeUM9maH/nLaA0zEJ9oiaw63JeidJg8nepbU/XcO2Ln81ukxAqTwli60MpqOfcTWuxVSbF5Qra0eJB6ycJMjJvn5dYunzFMzK+MhembUXy/lJH3Yuongxi1uYbv/5HsUrcfdfMfgL43tPYtpn9l8Dfi/98HXju1NtuAXd/jc/6y8BfBlg/e8lrlNU4k1TdfeWNUFAwynGaFaYYPpUkpVasYbsRjLy0cmzluGW5m26+oRJ+VS4SfFVjEYvSJtVkaxAqWJgTclkPtZweWBPkFK+UKkm2W9t1lUoOXFnXLglvSIWTBALgyiLaNZtFhg5dylLjtVLM9PftHlmpdIHXHZdRgpnY4jmakDnKPJG5tGiSy5Ux4cxSTzaVymYIfw5631BUoo9x7TLHKcEiMVJt1VJkusTzCuN52kEQvhStudjM83E9r+bBIr8Zp5tliTEKZM+r2ZhOPM9KTgUxGjJYh2+dwVIvC1BvTJdYO8H5r1go3PJkyFWrk4aTuLdRpZmFtDwy5ArDMHC8O7Lz9JhPfv4+lpyUezbXZsxvf4JKoe9m6kOUEoFZ48VS7sQeqGqileIUOtZmW5y5coUHJ85YRoaq6qFdQ2JYNddM9EaLkqcizFdnXVr9WXjOdLFGfCyyN0XJRNd1p/BhjYNLxsQ+ctfYtaYSJGlfJBIlTdE0kqz4z1I0ZsxdLJYEdJlKDB1Qeh0UQqKaNiZcvKrKan5FDQKtDgNiiuXcCVKJ3+vRAyqlTWxSNTBi9FExe+DMISAO++fMOBZGfTV6jDbYpUZ1nsJmgqgMSoNe43dPxM6pWo74SECfUW1M9hhTAJObqPZJpcb/vtnra2GVXAaGCNrrwPcA/4mZXXf3e/Fj/xLwqfj3vwP8kJn9edScfAfw0Tf9Ja5GyGQyEgXQaPJByC4oghZAolGgQNkeVjiboRK/NRhSpGGCD7TAk7Wy3xld47rU6VcmUHU0QzzESK0nXKplJZ3JB6XIEiiw9ui0u0OFzuTSV3zVBNUZoItaoKZTxlZlu4UnsRmDl7CqVLPPc7gGxnU0iIWWvZrYAIJ8VPK26y8m7+psYgUEuQNwZR+mA8lPfVd9FReTwsI2s0EaSSVuH9nV5IL41StIVqDxxVJUUbqtNe6cqIwpJYaiYD0xRUyN137e080TlhOL40ouqohG19GjiSaF0SqzlPCUGMbK2G/RpzleT1BAbkONdS0q+W1qSnmsJ3c0yq0SvHdl8FZRaeyq8OKj8Aw9KSiPhZPFCSc7u2xF1WTZafMYvSaGwaGO4OKs1yql6Qi87T3v5t/8M/9rDoaBx4/3+cKrj7jzcIfbO494un/Es/1jzAtjdQbT9Sy9qOkcjA4PeMSrizLogp+GuuLT9F0nihpOWQo2MKKPYI3KVpnljjK2FkXQMyPgFtq9a9DZlOPoxgSUU9us14AzMWN0o89pqkZHr8G6oqEVq2QkKjsF8IDVDMahTGyteNuqonNVuzX40TUajavDRVTGLg5wN+lJWhbtJvc/7WXR+Bq1MiWbfM8Fc6gK7yL+iAZr4W6h9zfabi2VfoJR9SysVAYMDbxozfc3fn0tGfd14AcD507Aj7j73zOzv2ZmH4x78ArwJ7UZ/dNm9iPAZ5Cs4k+/OaNEJ/u8S1SKMtEo/MSnTtAG+cZa8JijaClHwLPI2JKGlFqjqgqPSgELNE+L5LKsnBofXqmF6LIHFuYNehCXvAVeC35hE8JYVeas8K8v09kqWII2zliUoagCikAf5dZEVRTtId5asJwmp8SuV6mtRV3pPDLmomkmJJswRHK3KiXjGmQxGQb8Se/tTRPELSU8yx4Vj6ZqCbpXlMrJlMV1lnEKs8hGEk4qQYtrnx2+w7k9sxreyKlO1U3jrctxzoFEHaLCSqsDEgdzZdnLI0mWOxJ1XE5Qg6PMLmWDvEZKmeUYOcvaBmW2hZ08i4CrQ8qoIY6QUZiakxVaM7oUOoTbdimk/KUIyzVxuCkrnvPo8onuKwHDjNQyqLHolZyhFJRZtT4Kwf2tDdZKjCQ4d4n7x/tcOLvBe7/uJh/44AuYJ5aLJfv7xzx+us+de0/40p1H3L77mIc7exwcHTCMY2SMFbLsC6onvAx4WwNm8sCJdVFqCK+yxUQafb8+6IWpjPgY/tY5TVCjHo1grBwc88YWChyMvutbDhpZdxPLaP3W8LNYOQJGszQJ0ugIONOh2cd2ODma5x5YubUyKq6rZeYaD+an9iPx/ZDnCC2jLtO6SLWpNX1KhHTUidXS9BdqkmqNjlHl5tg7CVUqY8vIT1GaqUQ13CbTj4o7XslkVZanvssbvb4WVsmvAB/6Nf78j77Je34A+IFf77Onn8dxlFnK40Ald83yx61i+E+Ni1VWECdgDfJ/nHz6zDg18aBGBbe0OKWEUA9lCaeHnCp2xWdU8UdFZSM4s0ygtJXA7koNiCOqhhaYMfDKWEZmuWMsheyrZpI8FggmSqXv1IBSoFRDyKbmaDPbio51Y4NErBnHEuPTjLE0TwbhbSCRg8ZhmTLtKpXk4CrTKIJBPKAe0OYtY2NvCDctATckV1k9RtbSmkUW972WNt6tUggMslaITVer07lELZZcVEZjVYrGurXIuutYYmOPam7pW0Gt9L2eoQNjUOocfVbuOuraNnn/PoZ+9zgOyspNGOYwwrI6s17PVUwug9zTdQFxhNTQAuKpKDu2WuhpCwcwOB6EZ4r5pACTExqHZ9GIrYVhhHnX4dFgG0ulmvPRL9zho//Zf83G2U0ubp/h6rULvHjzMi/duMTVi+e4cfMC73z7Tb7LDC+Fg4Mjdp8dcu/+M75y9xG3bz/k7uMdHu8fsr84gdqej0dQLBMzI5MYrIJpoEHrNYzR4ByLYAhzoGrsWXLtN/VYVpNmLHaUqio0QCNgQ2LvTA3E2Co19pNZDNgInvtYHKuVXvUD1XSDkzfW0gqHToaElthE+XSv2Bgy9lir3vZDxIrJpz48thsfv2XqxEHfoLiGKw1eWFRnHkGZ+KxmB+BpNcrNIqEcEVnBU/TvvGIx/ak45C5N6s1SfGoov9HrLaGcVBlXpbpLyrWTJ3rLahgGAwPTHMKoTdTka0015RnaAhaZgOVpMEFFjIc+zJkm716YmngTLMIKQhAuEoySpjIM+KH9DmlKqlgPsRBrZIJzy4x1VAaNGiFSZrXAkaSwMkTzapBOHAgK8hYN0qLSr7FLagS+bMzyTIdLcG9rNDcUwCWvd9PB0JnhWdffjHwAudF53ENvirsQFoVowaPRNbYyuFbaMIdWUjbFmQ5F3W9qk0Hr/jY2TEzpU+YXf6dSMd4nmWpUXBY9AT3xGvjuWF1NLFOQbc5tJYLtsHUJHgqz7NB9GN1JKYdMXYmCgk5iMVbG3DNLPWmxxC1N2Gmf9HNjlMVt/a2+sZOSPOJ9Yxs8UTyxbLzqpIyrjKHoDbXrWArFerp+hneblOoc7C043D/mldv3+amfBzDOzBNnzm5x8cJZnrtxmbe9cIMXrmxz4dwWH7x+kW/+5nfiXjk5XrK7e8S9hzvcvveEr7z6gDsPHrPz7Bknw8ByrAx1CDVyTGT3YELUliTVCTrzYO1UU+bd+SkbB4vKlIBs4wA7FZmVwYdClwZ/mGAKrQsd0Iaqki53eA5Fb5W5Gwmpn5uuwavMsmoJTL9GYqeg+1XK33a9ldXTiqx9CuYOy6BLNp63hGX62dYXqi4MXNVx0f4Kppf47Q1matbMgmybAtSr9nByGWDUpIxbFYsonPLNeOPXWyJwO2rMtMaDZrmlwIFVNsQEPqqJutbEGCkym7ZgIkZMjIsh+KEdK+qRVGGRHyRhyx5TqIORg6FMu1aP6dU+NVEsSrTOUqgULRahhAXKCxVYD3E68oTBtQZMyjmyXycjOlBs7cjE05QlRa0YP8PUYFNgTTDqUIImDYdMFnUuFFlCZKIZ6xZ81xr+EyNmKaqQFnUTzXGx2dG6TFiiaSNMO7kEHQruUQ5H5VRMpW3nLhWlzI6n7+oRKLCY/u4aoeWoOkjt90zzteMgsVb5elDIlDk1DHEciuaBZqn3mG/rMCWjaTEpPLx9+rlSRpa1MusShUzdPA/9lsJRW1+NEVNXZmAdgUhFctDnTJ8qtQ6Ma+fx3J8Sjam4HseAxipqnsdwaE9GyZm8eYaSOh1MlqAmLFVwZ7F0Dh/ucefxHp/83KuYObPcs7kx58qlM9y6fomXb13nuesXuLx9hne+53k++IG3YW6UobC7u8+DnWfcufOEX719n7sPnnBvZ5eDgyOGWtTgR03Uakb2oko1skUq+FhDri6ooYxiRdTTB2xK1NrqolhTMEGBhLagRPqknk0NK5zGQin6vd7eH5WuR0PfxDE3MrVKiSgLCdEGq2l+qbZ602DENcaB4cGkqQ3NVd5HDP/R2k8tQ1fFkGpoR6J/kOvqOznalxYMnqbsHkuJteoTzKI1G3ErksHkjbf+5q+3ROBWuRPNt9ZitMSiKFg1vxKLLFjWoQSOtcLG2kEv+W9T3wnnyBH8LfCr06brLSI2KpuaKwVxjuWRkk41eeShDY2gb+Fz4aZZe+Mp/EszEVVeNcZIzvKErSjznOS1pVGhummhRqGhMto9mk+2Cn4RFEDUK5nar6hMfRD6m2Q/UMSw0bXwemkLqgr/PVWlNUbB9AVNmQ4WiFFkWuontN5DmiqXoVUlJXKgCHj6euL5SvUpRk1t+GJtJLSkBrJXVnz+FN+p0id0WLRAEKyV3MugKSXozl7A8xqzcsRRlUpVDnHNjlVZ1FhDhWfG2vYNymwW1K4SEI52c8sydW3BC44NuqwjFDWT09qMMt+klgPRQOPwbQeoHBl1Lwd3lrWwHAt5fQM6wSDevnJMWFmKpkyObLB3w31k98DZ2T/h01+8R+XTdBnW1zsunt/iuStXePHGRV66dYWbVy/y/AtXee87b/I70vspI+wfHPPw8S4PHzzj86/e4bX7T7j3aIfd/SNOThaCz5JHiA0BS1ABmwhLXYPm6w0NOxGYIvw7RYbbDMrCGXk6tBibnL5OUnVaoxgm0VXHynhq9fdGnC9gPcpvE15KrMeoYOMM8LICS4lGYxTgBB+KNr6s4faNRVZsdRjZtC2058ag9LrrOomd3tZv8xsn0IWUobmgQmThpX61xeuv8XpLBG5oIQpEHG7ljwYYiAivLr6MlGqcyLIi9QSkcGZzC9OixqvU38tu0yZKoIKqGB+pMDn9OR7SbgX6kUaG90mGOoyyBV0xXPSgu4BgusCsHWfmmhyznnpwdbhLLLjU+KzuWmDWomGJMUcpJLuZZGHwjqCkioJSjmwiJXXaSxwsmIJK6wHoOzf5cQ0/Z4/MU0Gn7xpvPq2okR6KUmvFZ8MpW32ge91GvzVbAYvgKD+RaBS2RlO8z61GZ15BO8eBK+VaW7wpRBjRnWe1oHNrLmdZ5mYjmstpahanavjmGersDCwOMEtig1RxuYs3poWUcxkxd9L2BfpejnbmrpmARHlNJAiotG1MqORiddTAsnO3hq+dxw8PaJJpNWPT6oAjB7SlrD11icNFYewHKDCe6pe4qTJq2dk8BCLUJHvgqCQFGSSODwdeP3zK66/t8DMVrDP69Z7L5ze5fuUiL964zEs3L3PrygUuXdvm5Rev8e3f9nXUceTg8ISdp4fce7DDF169x6v3HnLnwVMe7zyLeaE1LIIrgxd5x0xaASaMGKIZW51GODBc8EV1crYJxsgWPj3KDhT7a+N5BxslKeimWG86pz0OOA/KqvaX1TjsG/wxJQw6PBPhLxN7qVT1Y9rwEVyJnNwe6+T+qEw6kU7tnSZxV0VOjJJre0IHT5uc1XaOYEfdhwYVWlHPoG/38g1eb4nA7aDhoN7oe4GnptZCCY+BGnP3Yu8W5ManU09wiObd1ZjmLqqRFIMBQZgHa8GCwlMZ3cLRLzL7Tg+jhIeFsPW8utjI/Jo8ttaAGooWnbUAEpl0hyhztXfma5mTQ2GHBA85RUk2RlaXadifopqHuK5GWUXg3mDTWKg2nGEe4pviIyL3K5VIKYXHRPC2U7AvE/SeNBgBVStajzWSphAvGECK6SoOHl4t1SHnWLwEla6R/HSw1bgfOcpOxjKViwbUoHPV+KLF9ZxylMmNcNPK3GqFnPuAG8pKdRmNT1yHRgqal+Ue79eolumSs4jqJZuRPFOScPJGU8N6fO0sXisza4rElsPpmrM324M0XVsMqEMVnbD7ce0MfpRYlIEuEdAPUQ6rM5Pje+VYs6MbuVZIM5pxE2jAdZvcrkLSyFUHcYrDsgYroiKZf2rlfVJAGQ9PeHB0wr3bO3zsFz+HJ6Obz9jeWuPKxXO8dOsq77h1ieevX+Hy+bPcuLHNt3zzu8FhcbLk6c4Br99/zBdfu8crrz7gK/fu83DvgMWyMZac1GUmOK4Wqks01dZWNbFT3AvjIIgRJKZKuKwOWvAsBSwghCSoipzCTG3F//bYnqriEFOHFaMMxPmutcbh2donY2T9q4q9ZfAtlWxK2ybsyZj8T8wmZWVyyfgzRg4X0i4SqRLX3JIfWrVXDTwxUqJ/BObq/Uy//A1eb4nAbRYNubYtIjDJ0UzMiRqpWQ3YA9OJ2QUeFH09ZZFV3WlldxWmk5HYaMp+Zjr7T5ndxM1tJ0OUex5lmeGTrJzSfAxssosUda79o2VQo9aqBmkQFm21WVCGKi9p0zUTGIsDYfITR2WDBCRxYptTQz3ZTPtrcUYKRPDODb+j0Qj1HaYJ3XHtjtNbx9JrDEBoEE3klbEJmk3lSEy2bgdd3HtP0QOw6ZijBe82N9SDiQN65rktfguxUxLUo0Qqrns17Zl4hAryoYYsAXXkvGK/5ubPklR95DOX4Nlt4QwurmyOaDZWUSm9OD5AWk9qjrm8ZQxVU9UbZVQH2gQRRcWhTFg005QM62YMm+cojxVMRq/Mc8fglT6rUa2GaiWnjlwTC8t4njFUJ5mGJmM17olN5Xl73rgHa2UKM6emsDfILuAdr/QhzBqTkoDOoZ4seHy84MHDPT772dvaQzlx5tyGFKE3r/DytavcvHWR6+e3ee97X+RDH3wHySvDMPLs4IQHD57w6usP+eLtx7x67wl3d3bYPTxiQiDElcWs0HuV73fWMxJ5Vdel680ThGRBn0qxyCyyZAu1cqnBwKjiTMcJSG9pSnSEwjTqQuzfWG+54ePFAxYRTctSxBRPopnGAeoOfY41gVGKceIN0jJZJgR9dNlOgpZ+Rl7QoEaZgwlATyHCaixz/3VA7rdE4CYyu6Z4FJMiTfaegiNksOTemiba1CXQ/ZbhtuBWg2pDwBfZlLUtXZNw2nzGWirWpakcm0qwdmm1ZehFHPDcTmKLgKiAlAJi8OCMObY6AKxln2pseSwcD++JlXIzuLPo9M19Dglwmsxziq9wYkMbdBxrzPELe9nqErS4YBmLRZJyYPaRUWQXc6BN0a4GZln3BP1dClpSDijGWKkvS0SRGPqjDL9BJTncGNt9NjVsrKVBwQipsWAFikQTOnoHJYJPzj3NMbBUfdcc8ASEkZahWiIyruk7uHDFjcs3Ob77CSyJdpmq01G/ytc5Z7kGnt+6yPnzl3hcoxqLjemKIKtnFviqRXTQYN8crpIFHx3vt1pfmXjsWlvVcPPASxsFDTx3grGy4dGUTSWSiWheCRbUc2kN82ZQ5r6C+sza39uUGJkJzulro6T65IEz9R68shxGdnYOOXh2xOc+/zqMMCTnzNY6ly5v89KtK7x04yIvP3edqxfO8dLLN3n3u1/k90Sjf//ghIePdrlz9wlfeOUOX3z9IfcfPeHw8JDFskyWpzlpf41V9D8PeKN9B4naqhYZVf5BpVAD0M6NjVDCGTKeo1e57tWgNaaYYdZGtw2j6YYT/ZOWuBFDi136xRwVgNLwlQ2Dfm3FByUwbX5tytoM5mXlkEjArFV5fWtWey0ShMX+tGqrSoPfAFAJoOxIuzd4zfbVuFYEYTXYFIVLsBDSpEDSzU8NF1eHgTGaEm1hpvjspRc1mSIDbe5hp7vBXh1Kicnycr/rXNxSjJC3M53WFtcCK2aLHldsNgMPI3hRE3WqDz5qmoe1rrImhdT2vbyNWhIski1PCxvEcoh2jLLgovtZTNmTmjsewVkHy4AL543gLltanzDKrlUgFuh4VBsN6Vv5kCsTL76CVwheq2ebMpUaTYcUWWLxBoXp/hcnuLSIPhhCBx8HZIGb6CxPh4Ok3MEsyt1kVUt8XkqJTgMU+ZZv/+38/K/+DF6fcjQuKAYnLt8MUstsM5vnrvGt3/tH+Exdh6MTPNSm1aIqwKJx4sriwoNkKCrdc4Vigp5mJLqNc4ypI5VF9AbieyFTKaroZGQlAiV1U3N6GnBNVDlEUjOt0ya7VpN11axbVViCIHxiDDV3vdp0Ai6TqdZ4q2G8pOmcI6Wq91BzIbtzdHDMl49O+NKX7qpZmI2N9TmXL21z4+p53vH8dW5dPs+LN65x6foFXnjxGr/1Oz7AOBQODw95/Ogpd+7t8JU7D/jSnYfcffCUnf19qANCFFIEvLqqXiPgqsLIFIyUE+anPEaCrSAhqOLE2KC89tfIWdEtKlkPthi0mlQVahZfnLjfHv2H6pr92arN3JI3C5tl16CIWiQwkho808CYLqi8Be3lPmV60zN060S3DA7VhAe/westErgl2LBgQIy1kFIHyBVPfGNt8oIy6dF007okU5lpWkyQ32sJyk1d3YBm19jcAFqjQL69meyBYgYE4kDKNTwtUAnlEUxMQ0NrY694bP701dm6wBsPAn642qHPGWuVAs9Fe6q4RrbVIuksDRrSKT9GJmBRhfRWma/3HB8PJOn8ViotWqbVvLUnfELXXLShezI1M2U2lgzrmutZVBPBBTd1/4JOJQzPsPDvAIyJQ03KMRkFPOTyY9HmalazzWRL01FEKxxdFLROw0CZ5pBWGBnjUG/mRU3u79o0LeskBA6+8reYX7rA7/yX/wT/7Ef/KsvxMTDibqzNN9k+d4ntW+/k+Xd/gJd+04eYb6/ziZ/8hZifWcOiUzDISKtYggVDfMeq8jonNYUrOvDK2iYlzentcBJVzboEVQb9OWeMzKKOmHWkfhYNUeHUweak4sxC8TgGo6PhuDnJQK3ZGyeU9XrL5hGunDLh36GKQFQ8sRiyi5veDiVMBosSLidyNjo3lg61DRbIqu5Ojhfcuf2Qu6894GO/8KvMZzNevHyBd73zFt/+9e/m7S/epM+ZjbObvLS5zktvu8l32AeopbJYDDx5/JTbdx/yha/c45U7j7lz/xGPdvc4GheAVIjaA5CqONNpGONS9cStRnJHlpul+VdVIaVYBPpVUkYkgYI801dVKG3Yxso+ONET2oZILLT35cGy6teg0YvEIdA8+2vjcymRaf70GSNbJ7jGZPM7YpMI8I1eb4nAXVFJn1FAwqToyylFydsmUqQpwwMLn2doGNL0EA08R6MmrQQhNTIdBYy0cikjrC1rx9nNjnEoHAzRIDGVnNPw16n5V6dF7i2bDzhjcOGgClCrBtt0jfEdAciCJhpjZKwNyw9IRTEr4BEPXDkyWhKLw/ADR6yI4k7XBUUqxm1MrBDhQYExh6CoFMn/O5GXxDcXMtkM5IXnJUjGWMpEN7TIbCzlqTnaqJxDiB5aJiKL2eCFJ8nmxyhBO2ziRYsbG1AKRDap66gBh6RUA/sMBNclH7Zskme3lwsGKO68vnPI7/8X/yAvftt38+zRDovDI7q1Nc6c28bmM05q4f7jHXaWIxdOFgEZjRTLUCt9iD5UzZnYMnHoG1CicVajf9IFZXXMM3y+zqx0MlXqPOA7TXdPWUlG12VGN5br29QuacQbMOWDSWtjsis1QpkZME0Vbj/5OTe4DoL9BM3ILHmJMWy2oiaGEKV6VHokPCuZ6SI77ZL228Z8Nq0Ps47ttXWeu3qRd790nbe/cJWbNy9z7swmeabpPmbGshYOTo555eEuX/jKXe4/fswLN67y4vXL3Lx0nm+4/h5+yze/j1orJydLdp/u8/r9x3zhS3f58t1H3Hn0hMfP9jg8OhEkktN075WKxf6zSKTCrriwosfWsUxDv5MlZboemgl3mpe+I6hN1UydIEALQZc2t6J1CWx8rLJj9iJqZ3IE71XFDNIKt6/eZlJq1B9RvXpurCCfqvU3er0lAnekaoGzKePtPahVxAJ14VSGIBI17irVo8uejH7WqxRyVidoowRF4Bo87vmpbM4Cc7UEy6FIDFJX4p1GrZtFZjOdzB7X7lrwQ4I61vC2iKBV9d9ucSqb/Fcaj7xW+RV7iRl9URZma/7DNr2P9kCTeNhDlcghu1o7FWGjhUahlI+EmYUtpjIHBdu4hvBDSWYTbcojqGdPeJKp/uBFrAair+KqDhp2W90mk6xai3C8dj4JZKdJqWspgeEqe09ZgWN0NVZHakzHsRg5tTqUG3XOKKQkuGI19ScO/jioVdaKL/tkf5+uS+T1TforPQwjKSfGJJDh9Vfv8bGf+wm+4zt/B7du3iTzSWGaVX7j6o/6ZFkqHry+72oyUaxmb0wQYDaDtfNwskuaOV4XhNF7TMCpWK50qSO7UdYvAnliaOTmZGVBX21rIZkavS14Z+2bEomBNA56Two+ZaOtzojKzQS7UQUrVENahZSZuUOXqJLcYqi6ubCxwc1LF3j+5lXe/txVXn7uMhevbDObd9Og3+KVZRl5sr/P7YdP+eKr9/nU7Tt85Yt3ebyzJ9dA5JGfsrGxscaNa+d5+dYN3n7rKi/cvMzNi+d575W386EPvgP3yrAYOThYcPf+E167+4CvvPaAV+4+5s6TXfYOD0WVjOZwq3Yadzp5UAPjXo00j/KwHxZiTu50n1qSoO8tgkT1Ot2DVkHL9yWgM/yUtL1KWWsxP7YFfuKwMcGqo5bSlKA0NpUa/r8BlJNGNPciSyDoQDUHg9UtaD3haevOxuacUivHS+XqpVSWJ0tFEY+MLBbjiEPOJFcn2AYFU2pl1uXAk+Ul0TlcOrtOeXKoa2kIQ2pBqzVCVxlNw3qxaEARXg5E2V4KNoatZexns0QdJQ7I0dgqEZhAjYsSmbogAVMWEUoBsyRsrbEaopwED1lwXIwLo5smVUcG3xqmHov9/9feu8dWlmXnfb+19zn38lVkPVh8FKuqq6qr3y3PqEfzcMYRxtbTY0VKAjhRHAdyIEdGIMAKBMOegYAA+SOAkiCGEQQJIjhxDMiybNhOrNiJ5ZElwVZkazQzmld3T7/qXWQVq1h8k/fec/Ze+WOtfUgp0zUtWUkVB9yNBslbl7xnn7P32mt961vfKlCKaEn2mXGImIEZJjucQimk6Iy2d5MXSK3SKF3z2F6w6MD0THKXhBNCp/qfyTQ5UcXAeAiO/2nHxom+uaIL1w/bIn5vHlARuI8iDkPlUidkTJNgsNR+M2JsbIy9YWKcwFivBLOG37/w/GVeffU5qqpif7TPdoZEJEaTlBV1GV7/LYNi7PmG7DcOOk0X8GRvCEzMX2W63aNKG1RZ0FZJKTHSll7PwkODnaYI/SkkN4AVh2lbGPO+8cOBdG905kFJkSN01XkBc1pKV5ns0RGY2mIS0yUPaqqGMQQr5xdbK2OxZnJijLmTUzx3boFLFxa5dGGOxYXTjE/0CJWpSSpWOLQ1GHL7wRrv3Vzh2p1V3rl5l/X7W+wMhsZGUi8fT4rogbyvZtjd2OHaxi5vfeMWATVYZWKcmTPTPHt+nmcvLnLh/CwX587y8quX+PCHryIozSixvb3H6oN1bi0/4OatVa7dvced1TXWtrYYjBpnZxTSgUXEVYge2ZrxzSXno+YE9MS7dThyVKQY4CD6juXvijGcrAOU7btetjVjglPu1KlDPFiEoNHhE19TiBKlss9F0eoIeNwC9ILQtpk2xs7Imq5wtq4dpcLPvee9/ZGrdx3AHZbrMZnPVjI9L1XWCESrtosKPYdkkirNyAxh8g2+lWDn/nbX1LNILKo69c4cG9+03j09WBspzRVFqDRnceU6x7rFE0huQDPJejkGewixMD4y1pw0BKIzT0r3D/VDw6hM3mjUw27UMXwRu38eBmvG+/H4pi7Bdyh83+yMkgjauqZJ4YzbZ6aSOSxqPmL/Fgg0Hn7Gjm4l5rVFkywozZGNWmsFSJUoMZn3kjBOtCTIwfIO1oMxGVTmkBlAk8142ZnkWLqql91DciGKgl8GodN42Xy4xcraQ+ZOnqYZJfabhtyaR9urbW3tDoYMR0PWt/dpmkQdS/RQDKF6xaxv+HIYFlYSB1xf9UhBQuTqJ76b7/2Ov0A/K/vbG6TBHqP9LdgfMhjsUfVqJqZnOL24wK8tb/CrX3qDitwVchmX3u6lep6gNAOu1Dx+BFpNFD2MoNAjOPRxwDvOWNEZEca8p2pQoRdrZqcnubQwywvPXuDKhXnOn5tlYnKMumca2kEMbhyOEiv3Vnln+T7v3ljh2q0V7q8+Ymdzj9xYzUWMgawmGEVw+qKAkXyx4jl8H6kyIJdNRdtmNjZ22Fzf5sa1u/yTnKljZGysx9kz0ywtzHJx6QyXzi9yce4M80tnuPLsIjEIqYXhYMijjW3uLD/g+q37XLt1j5t37rG2scPOcJ8G05xRiZ2tSJ4MtXJ3a5rS4kwthex9MNo2UzsrTT3iNu61y8EmJYn3UKVE3ZazssPLDnxxrRoDpey/orxoOZoj4HGDLcoQzcOJ6gJCmMdU+cmm2OKE0C0Ey8l6iJgtRI1iRrbyOD4ZwO2dSMQV4ZJ/htPvisCLbxDEQni64hPILngU1KRARRtyjNaJngO8PSs02U7WWtSxUVfiE8uIEwKhspC4FSPtF+3f4KEUbqgrIsRAUxQi3DsuCwNPkiBO98Ixf/F55dYTnYFahDpWqLdWUE+QBA/3Va3KDfdms9pnVhLN+7C8mvPHHepwaCCJWLcbN/RaEjLhINkryQKBdKhkukQh5skW2CO4wTKDreLi+cGLVsxsG4YZDYcuNY0GrxXdcaVHJKXE19+7wb/5HdPstU0naJ9yYjjIVMBYqGnafU5OTRBTS+si1MHvuYQCRbgwvhtwDcZrL46Z+OdnxzTXtva4v7vP2dlpzl15iffu3OXqhU+gYk2CA4aejFUV6+98rvOWm9wSqwL50SU3SwPrcsgahBjMuXAcnE5t0YpTjF5rBqcOkcmJCZ6ZO8PVpXkuXZrj4rk5Zs9M0x+rjLHh937YtDzc3OLO6iPevrnMmzdXuHP3PlvrO2hj+YvojJiQi1dP16cyOQU0+J0x+qccwBhih0iN0VNNA8TYGaq2Xory5nDQsLy8xp3b9/jnn7fcSC8G+pMTXFg8zdVnlrh88RzPnjvL3OwMHzl3lo9//FU0NQwGDTtb+9y9/5Abd9a4duceN5bvc399k7WdHdKwMSjEnbqsiSSWMK9QpD1gbaXseR53nIpMg+bWnLICSyJeaOQJUYqOD7Z2MkSJlg/CDw2Xd4jlRr7PeCoMd8boVFUJ9XBvNoCIMiRBe7isOjtW5UZVorevcoYBzh0Rw0lL/zowof7SxaPcmiJjqhxaeO7NgZfQZ8OtCtphzqH1VFxYEOZOJ5oGVu5mtoc96tppV1ldg1ud8+usDrW/Ke6F9p16h7gxar3UPAaabM15S2FN4TtHEe+mYVoaMeCZcPOCkxvOcl9U1EvgRxgAbcalcq2VrLnDvotglIpRDSU71TGb5c2YwY6xtFZLDNvWPMCSNFI66lvBHQ32McOT5UAT4hAqZU9KSuLMjGPCKFjVoSrJ1k9UzYmuA32BfLALKH0DNSvXb97jj77yCm1T8g4mr5pyZpRbGuDkiSl219dBjTkhwaoYK0+cajRaYnSjKEBH0YUuOWnhr5mC3f09LizN8dZXv8o//j+/wa233+Gn/9JnmF9YIDtdIgbTdVnb2jZ+vWAHu2NbKsooNYVb2lVOWm4mYOKw2VUXBULrfOGK6bE+i2dO8/yFOa5enOfyhTlmz5xifKpHVXmNoECbla39fe4+eMQ7t1d4++Yy127dZ+3hBttbe8QcrAORnyQZO/RJBzUVGSuKihq8gtLjZDHdkCBKkzqJKsPqwXFku2c55057pnY6nfWHbPGWjVQOAbVNy2hvg9dXH/HG164ZzbEnTE1NMXfmJBfPzXLl0hKXz89zYfYkL758iQ996HkkJ0ajlu2dIfdW17hxa5Xrt1e4fused+49ZH1nh1HTePm78a4FWwuqhXGiXvRl3aBiZe37clZfPrmzJ5aEd6gtH8gfmKNhf1M8Si6UzMeNp8Jwi2OWWTMpFyaHCwBZJg0NznXIB4Lwhk1566GUCblIgdp7c3KNhNCRovyzSsLBkmHS/R3zSg0jddaFFgjY/j4eilYoE4sNf+5PT/DxD59ism/Xeu3mI/7Xnx/wxrt2WpdMv0gR21ETPqJ0qjdKXiVCTi2FUaPuOdNkExxyFkvw+ah7BoaReemP653YUktd5aPnXg82GtCxWryYRoIlpQpr4aChrnSGWlXpBSt86ChvKXec20qCl21jAbEx98wgS3QNb8ds9aAkHTigbuEbOgavhtVyDBvTIvu8nCnh5EA/h/yFVruDrugkqyhbgwETk31qqdhvRoyaBlVhcnyMfs/44Vtb21RVRV1VNMNhdzgKnvCmMGrsfhTDWvm6CbmUxtj9i5LYHwXu3lvjwx//BK997GNIgv7UGCNtLfmtsN+0bO3ssbmx6wC9reuSRAwqxt0PxYhbMk6zUufW2tllw4dPTU1xbu40L1xa5OqVRS4uzTM5PU6vV3ly25yIvTax9mCD91ZWeeO921y7fY+Ha+vsbezRNommbckuKUDrSTzBCAFilZ2tOxIlN1J3fFHx3y2hf+5yFpWrYbbZpGLLoa2oMZwoEGkmu6MVg9EWfdF2gmpBDGaM2e5V0kweBbYfbLH9cJN337rBr8UvgUQmJnucODPN0txJXnxmiasXF1mcm+XC5QVefOEiAM2oYXd3n7WHm9y+u8q1m8tmzFfWeLizxa47Afa5tqZNssEZKMHL9oNx5VV9z2ZbmubAHHC5jUlmtqEnuNaSS208ZjwVhrt7cDH4BrETSRNWFpu8GwbmT1MZhkywrh3BoRVVnF+ZfOM7E6V0c/HT2kj3XiVmXTwdEwZcqEtcKc6417FbdKVyMc5U/JkfG+e1FzOxXqcJmVEa5+z5Gf7iT/X47/77dd54u4dkL6zwMFAwehJih1BJmqCWhW7d+FSZriedKqbvgZ/YKTsEdOBdGuwh5tWqzS8Vnq84rCSlaKAsIi9C6D7ENk8VhCxGDywJqNjBGWoeYhTUvXPrUFR0yh0yEWO7qB80pV9oF+mESCJTewEU/jsHGtBmGK103+lVfr1i1RV2yEQ72L0zWCdnIEqnJYNvkHsbm7x7Z4VL84tM9vqMZ2MR7Q+GbO80iCb6dc14v2bx9CneW7lvV5uNy51Qk/DEhcLKXBQkhkJ/JuA0NMyNTLlhZ2ePiX5tHYcQrPCpaNWYM3JzdY2d4a4bt8BA6YTC+hoYatHsUPoCtdRM1JGFk5NcOL/I1WeWuHJ5nsW5s/QnKytmCWYEUk6sb+9w++Ej3rhxm+s373Ht7gO2Hu3Q7g/NK9ZyymrnVbetleeLJ6SLNo5CJ+jWKn64qxtTW0/ZvR57vFa2L6rU7l2XQ4mEUUAVXyO2JkM+SNhrts+PHh0IVoEYJdAj0EpyhcbkBWogasluTYa77+207G7tcvf6Cl/4rTeICL1+n8kTk5xfOMPlywtcPD/PxYWzzM+f5OqVJT71x19Dm8ze3oi1R+usLD/k5u1VvnHzNrdXHrD2aIvt0dC19JWgxr3PCKm112I4qKiu1BKjEhzWzZk6VDS+kKxpCH94Je/euuwLwF1V/SEROQ38HeAS1rrs31PVdX/vZ4Efx3I1f1FVf/lxf1sVRjhP0n/O7iWSDYstpHVFGal0DReSY5C4YQhO20leASjqUIVKp8Oh4piTb/DKu9JAtkXkTAUcd2tSawYzmKcgErj82j6vvLTBqJmhTYFelanDGqFaIU9lPvLJitev1+RWaZOAmjZJVygEh8Jg4wFbS7bsBR6Gp2l0bRX340rRCo6hWaSaXe/DmTIEQgwejqXOmGnGmvr6BiEI2QtyRLOV66olalu8O88hXrBpcNhBmRzeUjwpiiVzEMepc6bvsBWOg9KFhiVX4YbcI4OUsuOi5oYZbq+GuWa1a/OkclnkmgONX683VkEdAy8VmwRFpWJx8gTSZCZr805bgZ4KMtZD64ogFvrWY2NcmD3J9QcPGQ1HXk7fPTSfY+7uTckJmGHxayjwj0M+o2S5mZLjEBEkB1ubPVtn9x9uM8hCL2eKln7Rg9HUICEyPTHJs3OneP7ieZ69ep5nLp5mZnqaeix2PPokyrBN3F/b4MbyKm9eX+HNG7dZXXnEcGef1JrGhwah73CLsT2sarWF7gAlZIYpMRYrRKEVw3+jFyQljElUArhSvVkcgZwdJilxiBjPucBxKRWRsKLq6YUtwQrDUpuIUpknnZ03r+6Fu0fb5KZjdnV9Z8OBPSk1Fdk8EUIWMpa/GOwOGO4MWF1+wG//zusQhSpGZmYmWViY48LSWV68uMji/CwLs6f40Gsv8rGPvWLEhsGI9fVtVlbXuHXzDu/cuMM3bi7z6OEma3u7tEin1EkUBs2ISlrf2dY5vgkOX4oQpWbUDA9yP48Zvx+P+6eAN4Fp//kzwD9T1Z8Vkc/4z39FRF4GfhR4BWsW/Csi8vzj+k4K5uHGYJQcQrC2WRhVSwk0iifqbKQS8bsHLZ1nhReo4NlsCM48SeLJARE0BkY5Ga0u26YLEjyJZmyMnJKxCGJAXTc7hIBWgYsv7JMHy+zzDaqUef36Nrlt+fzr27z22mVOnX6WmilGOZrgjZj4kKbccbxLA4ji+adS1SUYqdS1W6ILSRm10D3jgCc43CgHZ80Ek9fMTrUT9cw4hXmhnScdvMovYL9XcDuj/Yau5Fzcg7cDUL26y7x5M+QGZ5jRKPfcE1L+TPDCHYNJDKoiGksBseimqOCpiGuvQMFayvtyFhcHCu7VJT8c8M1rQVTCvO2Iee7zp6b5yf/wB9jd22W93eTszCn6ocfm9h6ioy7a6/V7DPa3mRjv0bYjX2NC0cLJ3tG8CmbIclB7Taw3ZXQP3c9U60kq8NKzFzl1atw44a5hkb06zvpaCidORFMjDALJDNn8iXEuLMzxHZcv8uyVRRYXZ5k+MU7VE4LnJlpVNvb2uPtgnWv3H/GNt27w1vIqGw82yfsjNDdWCCKhu1/BPdnkCXl1vr3mRKPGSY5Z6IWKpm2sn2avJmTzHE2+oRhkbxLdedmWUypJVPXGBuLPyIy0OVJJjIUh2ZKwI7FmEoJ6xCmeWzo4PUvkKQ79BY/87OP8g9y5CQ6hJVUaT8BTGh8gncCbIFa3oApNZuPhFisPNvnq197mHwMaK/rjPRbOznB5aZ6rz5zj8rmzXJg/y9UXn+GVV6/yg0kZDgcMd4bcffCIu8urvHfjNtfvrnL3/hoPtzZpUuHiW35LPQEqWWlS44noAre9//hAhltEzgN/Cusj+dP+8o8An/Lv/ybw68Bf8dd/UVWHwHUReRf4GPAv3+/vK9AGC7MtuvILD4FWhBr1JsLRHr56os3LpgtkMHJYtVJvBMxBQsx2tgnIBK+eMn6ChQXGJY5d9rtIKzaVQy7uBZOVtmnZ2Nnj1uYNxmTI2s1d/qe/MeDESeX55ydZW18j5jM0ehpJVmBvjI3ilnhSzkmcHSzgXm3CEm61Bj9QbKPkVCRctUtSlk0katV3wT3SRj1McwpibtWTKk4vdBjDaGvZGy4LEityMK2G7LxWoyo59ijZu3sYVEVOdlCougH3+x4M1rKeoYmSOCxHsRbcXzBGiNUadfim7b3gzptt4JLoKe+T4HoQDk2M8gEFNAUTFBO1+3Xl/Bz/9J/8Kr/8f32OVz70Gv/xf/RnmJmdod+v6Nc1O7v7tG1i1LQMByNmpyeY7U2xNtw7gJG01DG6eJcfilVVWaVrm1wsydvTaUHoldurDzm/NEe/ro23jxV4paQMmobdnR1+68tvceXMLOfnT/PchQWeu7LE4sIpJmemrO7Ay7j32oZ7G3vcWXnAV24vc+vaPa7fWWN/b4+QjTOfkul0jFIiqj232hYaDRYhBIXWIzHTiYdejJCsmKt1j1WqyGAwIEcjCFiEJhBtDQaENrdkinKiJ5nccyxRZhL7PfH1onBQQCR0ifGkSqUOZToEWvIiOVtSG4+WW8fdVdXE0oqD59u+dTjGtG7syKIKDA/rq3skqGJ7oM2W/M64yiAtMWdGO/vc3tnn1nv3+JX8JYJYPcnpM6dYWjjLS89d5PmlBWbnT/Ls8xd4+Y9c4tN8nGZg+YvVB4+4c/s+b127yzu3lrl9b5XN/QGDduTsIJtzgZoeNz6ox/3XgL8MnDj02ryqrviCXhGROX99CfhXh953x1/7XUNEfgL4CYCqPwEiFnJJRFy7o+BoEqyqEYdHnO7rVV/FEzP0Pwen5zhX1ah1FrKYlnTo/r1IwqoYNlPsu206X3CFDuZJNUuUBK6/Hrkwv8VY3OXhPWHxSiRq4v7agO2vP+DU+AuEFjKJSisTaQ/JoBosOZT84Kkd23a4z7DjTMdzLZ5C3WGHptpXBKnMfbcNMOq4xo7BeBGMQUtKmyOoccQD5rV5j21KBZd0hT4HJcXBE3HFOCfU1cwOVZX5wrOKw+zNjkHq6PkHO3SDRz9WSIJjgnhVqnSFLaKJnF1HAqtmq4N0IX12qCarY6tePZhTJjVGw4rBQtJTJ0/y0SG8/MonYWoKHm6wWRmePTnedxinpQpjaIicnzvNv/8Df4xf+NxvsDXYKygPhSGBY7QxSYfFm/pjYcoXjzgRBSZ6fRNziiYTqqr2PEWZ1Ir+iXF+5s//u8zMTNLr97zi1Yzb1mDA/fVNrt29x1ev3eXta3dZf7TNaH+AJmsUbcqPYvUbDpK2aq3AkoSu+KN0Nw9i15GzmsQseERningSMIwWi7xijAZXBXXo8ncnlz0QsYPKuful8W7ydQzOFMqJAqfXaoQAt/MAVqGspgJpHdxzB4WaI10omrZfG1+T6l62VRQYfx+ncKpDMjgjrVYFKUJlQlVYQWJMqZTMK87ZdMbb3LrDpR30GFBG+wOW76xw+8YKv/mbX6auK2IvMn/6DPNzZ7h0YY4Xn1nk3OIZzp47w5Vnz/PH/8THyU3L9s4ea482uX77Pm+/e5t3byyz8vABG+ubDNrm/Wwx8AEMt4j8ELCqql8UkU99q/dzCA48NP5fx4eq/hzwcwBjU6e1Si2ioeMIW5dtx8WisS6MHJ8gh66Yo/Tu69peKUhWDGEK9C0yokpeRi+KSkspSexYAl6iLL6ZJASjjJFtA6oveABRNt46zW+evcjs9Ou8/eWWR49g6Vxg/jzocJGv/otzhJSIGsnZKjrFw2TESmVL/qFjDmD4Z8YOKut+YwdTm20z1Rmq7EJDdq50Km8lF2Cwh2GdZtc7PT/DGxVjyYg6XzQTonTlvKIm9FXuTola7O+XvnqF1mh0tBIGJ9Wu6EakJJvFS4HVZTjp+HOlWzeCl9Arhcpjh4VXLmIGumjH2MHiCdrgv5dMva3oaljUFqmkpderOffxj/Ds2Emqh5tsf+UmG+fPkTVwf22TZjCkFwNtsI0aqoqXXpjjL5z6fv7bv/V/0HiiScUOcZLh6ClkcyR8fUiESntopdZUoIlUdcXFxVNMjY+Zh+m4uCYljxp2R4nxMWFuYYZWM/e2Nrm1+oh3btzivZvLLN/d4NHGNnloOh2hqtxAQiDRD1awlpJRG0uXljoEJFnFnjocQIC+H/jG+DBMWcRYSQeQRDG8dl8r7AAvHX86GMQdKPWy76ymnVOgiy6l44l28ehQvRraDjvTqE+0dkiX2gczFJTaUQKutWJa+q0BNuajROkOEVHLoRh6Y2wsO8hayxmIwzy+N2pwiYaiSyImYqeeKzE3GIlW7RyA1CQ/nhMi6sVSAWlaUptY2bvP8q1lvvTb9hm9iZoT05MszM9y+cK8VaIuLbI4O8N3XzrH93zqu0hty/7eiNWH6zxcXuPf+dG//75G9oN43J8EflhEPg2MAdMi8vPAfRFZdG97EVj1998BLhz6/fPA8rf6kOBcVVWhEXV1L4MnkhrDwtgmuOfj2CYJCVXXo04cy2pFmYlCHWBkPclpWqMi2XmQvV8lpjzoi7krCHHMTsriAgrc0qqiu5Frv/YR3lk8wWZ4i+qkcn+/YvON88QHr9Luj7mokpqX5QdF9uy5cgB55GDedCiJR6cMWqm6wT6IUYga1LwV3xHqVMeCliuW5Vela5Raqk7F4QwrBbeN44CEe0lWAq2uXRI7zJ+uUCer4+T+t3M2AbDiXflVkTFhoeiGNWGHSvYwHS0lQN4J3kt9CyQT0I7eV6rXxMsFFYPTstoBXHSYBczrjrET1PJ4nFur67T/xmvsXJlDgxCTUg1atnYG7A0S7XCERiHlhtQ0SIDtrX0uLy3wwsJZvnLtLiHkLi/RCY2pEqxxoB9kgbFKqPt9Lp45wwvnF3j5uUs8e+kCK4/ucn35Hr0Q6MeaV156laofyVt7vHd3hb/zL/8Vd289YPnBBs32Pim3VuUIVGrN2JI4n5xS2FW5DCgQxL1KV+8LgV5de0EJ1sMS8zQtD1AO62BGMFTGoAl2+EWsMjOGQFtZEjJ7XsWiokQO1k816IE2/ihZIUqBNkN2Do573YJFJ4bx26mSveAsixla8berO16CF385TVLVmBuWpD/AhUtSzz5PXaTONnQMFZpaUmoZ+l6rpHDilVxor03uGnHY2zy/k5M5U9nWd/S1lz1Sdpff7FDwqlG3WcPhkJ37+yzfW+XLX3zdYMR+zczEBLOzM1y6tMjVS89w6cIcF8+eZun884+1l9/ScKvqZ4HPArjH/ZdU9c+KyH8D/Bjws/71H/qv/BLwCyLyV7Hk5HPA57/V52SHIbTwIEtigUOGtODBOBUs0XUIKZhZzEolMCUCmk0K0kO6KposY5QD0n9pmmsPW7tTV7QwEjwR4wT8LAISyTkwNgqEO69QhSvEqETtQaotgRbUu5gIgjcVUDNyllhz9oiqQwXu1YrHAGXaIaJlfq15pV11YXRM26vRhCLCVGAQ86adpOHGPXfVh9ZYwu5/KeqxA8L0vqMXtYiYB1MIiQmxBe/eUNbi/bvspVPAWoQmJwius+wZ5VySd/48c+HsgXcP8cggtx4SF9/GvTj1uRTjHQonXV14SbuEIpKQFHjv+g3uPnzEid4k/X4gpcD+YMTu/pDBYITkltCr0WSbsU0w1hNiiLRtptLEKEOkdfqeRRmVV+pOTE3w0vw8zzyzwItXllhYPMXMyRmCRLb3GraHI37+F/8Bv/MvPs/s7Fm+//u+n4tLV+mP1ZyYnuJLv/I2//eXvmFOhdJFJykd9PzEaW6JgIRgzk42FL1AYuL3sLi6mk2+tkhFiBc9jTyaqRw6KIyYHELXXCKX5tXq6zJbktG68ThsZsxb125xBlKJ0gzs84Irdyg84ML/ptVu5EMceengEFsVcsgo++sqNL5fg8MmyQ8zfH8UymuoTMhNs7c7k4o2WHFflUGS0gbjWaeMdzSC4MVCorH7e+rRr3hE3Gru8laqB/z9WNasi7K1apoxPQXVQLILRocjNkcjHq5v8PW3b5LTb9CLkZmpSWbnzz7WXv7r8Lh/Fvi7IvLjwC3gT9sE9HUR+bvAG/7kfvJxjBIoBsqREaHTaMCbBVRqwVImdC3GYgiGNQYPkdTxqVDElsT9bMu6BKn9Qagdj05tS+6FqOLKaIZNGqTumFxhXDgcoVnJwYtdsjCexyEdYOtZFZJhs6qgwRXsSvGMGy3vlkkejQw7rysr33Z+rDUpNRl2siDefSe6R23AhimRWAGEJZeSaNdDsUQSRUayFTXYCW/Cm9U9azosHOx6WzVFOaOgOp87BHrZbwSx7Cbj5VJCTttyQQKpQD9ZXMDugD0yVte0TWNCVV5NarB8cI+78uSWbYzoeQnx56hRELUu8DFaVxulBY2miax2sxSYCD1uXrvLJ77rZcgN27s73F8fMNpvaYcjTs9EBqNEXUHs9ahFOXN2mqZpeP6ZRd65+4AxHRE0MN7rcfbUNBfOz/HChQUunZ/n3NJZJiZrQhUJYtrou4MBu9uZGDLtgy3+k9Fp9j7yfQw1cXJ5h+HKA+L5eUKvot8bt+gyWxFKObiNpULHC7fgKxuNVL0ugELB9FO45H6iJ4Bz6hLYyfsblqbJBcryvUvOqcOSCd4bEn/MIuTcEiU6e8R/3w+GwqsuvPxg2rG0JbmvrrqXXI9G2w4SVM8xieC8a/t8S3AawwtfywYt5oKo+b2RTlwsxkhVkuNYVe+otUMkiFBn298iLb3a5FatzkAsv2N8rANZ6KLyF81eBC2VwSXSsyYJ4gn+oM4WwaJTBas7EXd71PMk0eLZCiW4sB45sbW1xdbm9mON7+/LcKvqr2PsEVR1Dfie93nff4kxUD7wSOo3n1KZZAp/pg9lD8UaALsaHG7oXUd4JCa/Kc4+EMWKX7xfnFL6JLoOA2LZczcyVai6KrnsHrCVxpinrJRejOIJT9ssKuJhoukMIME8fMG32qGiEO9V1+bWqx994Vc1koa0zZCoNbHqWddrZ14EMeZCg3OHHQMU94a67StCmyxpVEXbSNaZ2jyi4FCLedTBxeGhE5/yDH9wbzo4HJBLZi6K45HQBJOlDCL0QuxKlLXsHsRgDMd+VU0LOjuOHoFhMdpYJBFi6bpuTVeLOL4kV3N0TFXxAgcMUgout5u9qEWTEtXZB1lYOjPND3/fJ3n56hL37z9ibWOPWAX6EhkbD1QzE/SqwMOH24S6D7RMT4yzu5sYtImPvHSZtYcbzEyO8crVZ3jm0jxn50/RG+s7lKc0qmwPBzx6tMG7t5b56o07LK9s8p9++tOcmh5nYmqSky++iOy2BhNJZnNyilaE3f0RK2vrjHJrmh3eDFfVIghfRZ3xVMMQDbbxNVhgIS2ryg0HbZG9CkYlDQJiGvckkw1InkSmsIykQHNqxjO7VxyDHUo5IzF2fRotUhPaoC4xjBVDBb+aELyptuHCbc6u5GhGOGTpKqe7gxo67j6aKe2+LAlp7wnBcj/OWSLj1btVRRKrV2iaTE6tccARWiliUgERb/aBuqG39dmq3c8Qa6fdFpppNozb7YN6BOML0uQnxJOomtFY++f6M1QwSV+71uSEB9Vsip4lsoEu5/Z+46monFTfgKWHX/JCCDTb5ndvFy/3rUWosvN4yR2zomg3NAK9EKh9l3uPeLcnoTNQ1knG/N6spZGDXRHwu42i/6ya/JQUK8hx79cevkldOsXY4B7nQx9AFdY5x/jk3kdToE7GxEippRntUcca1YpcEm/adNrM6huAokdSjJ4XTURfVOkQbUpE7HDqmTGtvIFD1ta+BqhdI7vzmjV1bANbXI4rinlRGSFWzmduWjOUxelTO3wrh1uii8S3fggUFkDrScosgiRjh2uMDFNyBgpm6BpnGrlbFn3+iIelWiAmY52opk7qYG17l7X9NVZXx5gaG+fs5XMW2VXw8OEmsV+zu7PP/PwM2zu7bG6N2AsVVX/IYHeX6ekJ/tx/8AOcmT0BbjgSwvrOLnfXN3nr+h3eePcO1+/eZ21tgzQcoQh1HGPtk5uMjfeYODHG9g9+1LoN4c2KBw37o4bhcMhE3UNSppGMQWtCEWKyVWOStSX5WCiWQS1pVjxnOYSBZ6UT4woZqKw2osY8jXyIKWPIk6sgeq5DPDQ0Ot0BX9+8FptDd8A4jGORj1dTGkpGYQRlf+YhCKltndZp2y1pwazthQLFUAIJj3oLZY7o0VkIZG/5hUKbTAveLAN0bjkOv1I0shuDlJLpqoxy6zAkDlka5z23B5TSriOOJ3UDFrVnxQuujHtuRUxKztaZymSm7XlUqh4Z4pXY4iys1s6ocvAV8Zv3GU+F4RaE2j2oJhgRPiUTMwpYhlfUcKjop1o5xQzHFapOzMRuYPYEZ2XL2zprh8o9Vuvo0jVRKItJLbOsmJJawcKzQzi5LF73AEIyr7Jgv6avYEUo2SEI3CMzXEzMq1F1ZULbhCbOHyFEJAZ6miFnmrYhRevUI56pLwJStr4NBzXtcTfSHp0U70aTy4PGQKiEJrXkNpNp/XaZ0a+c9+51GF5mrO41+3Mq9wOrUAsAbSI5Tz1r/l363FWM+HHpPf/8J/V7EDyMdu5wFcy4p3RQgJCdvYAchqu87F0O/Yx5RMWwFNgrB2VcYXxfuLB0jvET424UW+4/2GDsRJ+2TdR1xWC/YdRkxiZq2jzgxs0HnDwxycQoMBxWrO8IdzY2+fKb13nr+n1u3b7P5qNNckrUYkUltQgi0VXfhty4vcKp0zOmcV1ZdCGaaZOyP9hHwhikhol+hWRb60mNG19ufNGXMQljZwP5zxk6Wqg1djYvOefknGnjuscgDLMxY+x8NaNDzvSckWGaG4rkbL8jhYeOfy5e7u7vC0oVzXMsEE5hWESxpiX4/ssCmlvv7KNQWel3Kge9YQ8GUXoOKEvplXkA3RDt31S9W1Q22iPZud9+C4oOuR1g1vEnqRn+YCIhtFlpU0tdlC9tcXojZWUkZvzLPjZ0MHiewO2GHwgJtfyc5whaNUaPMc2L+p+Z64DBKa1aVNF6tFjyOYLBvo8bT4XhNhjDQ76MwxEVoxJdYDhawDwH8YUwVEvC9SXSC6ASSRn6DlVkzbQZxCvbWs1Ex5pUrKAhO98YtY0OYgULvpDxxW8FFy6fip30loxJtPGAlmcl24Yh2qJ0kaOcaTucy1X+PCwyDm4JeU2x2NgRhjkOU2utkerKE63iDAg79XNOXq1YWjXhpcHiVY+ZtkmkZHi5Sd66IBe2AaousnD3BzzaKZGKVWeqG3WgSycpzrAQTDENuw+NG2BrpuDURnD83J6sKuTWWLdtMvy9QFTF2zRixUEPyTYbZNBVugkEj84yfgg7PS1k5crleT760Zc5MdM3rz+3rD/aohnuQV2TkzIxFun3AnU/srW9y0iFid4ESmBjZ4BUwv/wt3+ZN2/com0SgejUP3W6qC2hoXrgnjLz05MszZ5gb2efpmoY1pHxuqbXh92dXUajREpDTp8eY2Z62rxaPBGslpRMOZMkmIysgKgV1WvQjsuf/XkXrzkG29iFldK1yztEMU1exYt3lXIXwtajWMPtDvIK7s/7gYsf8sgBFFKal2QJpFiiQkWktqgwCyrRqiVzpk3Fc7W/WT7O21q7px8M0lGDObXNSIMdzBKcH25QaccM8/WVssFBKlbzUGinKWnH/y97uU3eStmXPwRnVtnhpJpxIRSLAjyCMMlXsfoQzAA3iDGBVKi9b64W3n9ODNUKo7w21J4Z6s06cCKAZ0ofM54Kw128q+LZqW/qGFwhLSuNs557RFDDifpV9Ifi+grJMugpt25wnB6V7aSVbItdRU3DI3iXb7WS9FTYFyFSG2ZgFCno8EMLvy2TbAwT18A2B7Cj9HUhoG8kS8p5R3WMleFOhuHCBY7hQJQqYiXHpadiaX9UIWg2ISLDnj2M9DC+JImUDH2DnMbVwu/W/9bIpWAlFFy4pbBZfOvYwRDEy8+l4+pGj1CKoFWpZnUUw8v6BQ2HErrgol+hO7yCqj8TpSqt6yiMgNLz0jagbfFy2NgKj2oMGC3ITjA5gZAzvVgzCsKZyQn+rU99lJmZU56XyGxv7bC7s8f09LTpiIxa9gcjBoMRqW3oBevQsjMasL++z8Vzp9EWvvdjr/LWtduEWKFtS24dxvLDzEJzV3bM8KHnn2Xh7JnOQZjs9+n1lc2NPXp1IMZMzoHcwne+/By/8dtfZWX9EVXCFSUDEul04zV7UhKDs1rHhDNKVdWWf1BjW9Ve+BMRWs/blL3VqmuBOISm3jGpotAozaBnUdqUiV43YR6BQTaF/mhrNmD6BV61qYb9hhiQ9lDDY7V1XZLc2WmFfgttvt0BJWhK3b6oEJCqk+HNwZyCWq1beoOJy6lHx1Fsv1cSLQL2NWr5Lse5HSrq+OIOCeGOlbFNi2tirkQ5WEJp2pETObdGakimr53EuzhxYIylTd5bNXvBmh+X0aKDXltyGZD8HjxuPBWG222kTUpKkks9m27VedYXEQsDA0hSpEmuWAaqVuAS1eqmMiBZLIserFFBj0hWYyWAeQrZvcIcTDqWbIatdHDPKXVUxRQt6xzVs/Woy57SeZYWHQqeundlMK/sEqxBLl4BKIdKurM6ROG131I8H0cKYqQNBmuIG2ctidBQPGwg2+IxmdGISiJrcG/f5l07DJSUrgGtsYQP+LNJsYgjHWhRFza7YXCJVooUQOcbo9Gup3C+JbiYfFaHcbSDS1qnolRRkNwiYp75yGGx7Ia6RBPFo45RvGu2eMbfjulyLWdOnuLq0hyvPHuR564ucm5pgbpvUNb2zi77ewNOzszQpIacjHWwcu8eE2Nj7O03tKnl1r1V9ncbLi2dpVWhV0XOL5xhdnqc5Y1tBGskHFJ2iptibDnjw6tmLl9cYGJyjOFwyNnTJwiVsHJ/h15dMzk+Rk6ZB2sPmT7TR6mYmpkiPXroawk0tfbsHf6L2INp5ADDdjvFYDAwnRr3vIepcTsb0ZK0zwXnte+TmvZNFQpf35LP5jeZcyI4fc8/r3UYTFsXJZPCoS4JOOO152wRbukDGtIhOWbED6ESVZnDUKoSy8Eefa0FJySUe6ESjAob7H5rsryXRmHYNsZ1R6n97pRG4+SMamuEG5+cTdUipuhwShL15gjRvftMFaDJwsBpvDE7UiAefRcoRZWUW3tdPclf2JniRXahJFilI0ioe+R2n6Wr03i/8VQYbrCHrDieJD4xjAIXJVApoJlGG+NJa+jKkMUx8Jxaz7SbwSgqbCGYIDsqqFRIVmpPdFKgJMefSyg9zNEU7PwtLRhsgoXplXiyUbXzJAUP4dTgihgK/OAFBsk3QlY7gISuw7vhtoX6BijWUqkgOH6hTdtaD00xSdtyMhv+TYd1t7icZi6HiVHsWs0Mm1EHMSSVziuwQoSDZgTRS9Ar6balbTBxmqHDSCW5ZQeJdXyPIZpwlvO/zZirJ3PMeEf/0KytQURZaSNOc8My89giLs1ZBUXbhp4aVDUWKmamp7m8NMuHX7rChYvznFs8zcTUOILwYG2HwSgzPg4bWztMn5ig7lUMB0YWTW1LSpm1tS3qc+MsP3rEjevLnBgbY3H+NNMnxhkf6zEcDan7Pc4tnuHGow16ncepWIs3D7u9xdzY2BhnT08TKkEaYX1rh17d4+zsNP2eGdK93SHjE316/YrBcMjO3m5nwIJz4VUFrSCI0roHGrLlElqH4ESEXoRmNDDHJ0SE0AmxBWf0SKbLDYgn9UOwZKR4FGt5H9sPkktPTys80chBx3gxaYHSxLkLMcUO6kL71Gx1BjE7Pu6J08LHxveHGU7Htv3vgNdSlD3u765KRXXOpK5Qxv89GIRS+TWaHXHDqG4Yk3bVxsZKaW1OsTKDGQypCBasuvCaS/DGyiopPQeXRQwGSk23zwW1vePwb5sydQg0np+QksdRY0w5IOSMk0wt5rw8bjwlhlvpRTtFSwsxiZHCKIke4mQpCUoLvWLXUNM2eAixwwnF4i3r3iJW+ZQDhnkJHe5l3q0DGOLBkGNx2ZMSkiHGgg/ShVdm/KJRE71PJq7h4M6H/b5It0hjtKasyUu6s1oPwOiQil2S/c3yYeIk7Zyyn+B+bw7RGQuv1jY+FKZJS3Ys3SpFD+6PeekxKLVEV0j0P+EbofN0Pelo2U6nDZaD1aMK3IPHD87WjVrAsHHzLpLhqhhsUmCjjt9bxL/8+VQOGeEGSmmZCJGls3NcvXCOl567wNXLFzg7d5J6rLINnywSaVr7/PG64tTMJDuDHU5MTtCVzHu2VFF2t3a4u7zKuzfvsD9KnJma5NL5WRYXZq0XqCqaG5oMe7kFMsNRJlI5jqtd+IvDE6NmRJMSdaygzsQqMDMzY4e5VwrGKjDWj9aVKTWA0fxI2sU+WqI6NyCq1inKusiUClN77v26ssMvu9iTF4cEdYaF4yVBHYeN2TrVuNEVb6KbCz6c7EAtB7Y4zFV0ucWdFw0BxIpRcudhGpRl+ZeIPe2Eaiko853vUWXwkvPg9zGWHFSwJL4Xg9phnrMRinxNBa/oEUpLueyUvWIeShs+S7jXUhhpAZHU9ZYs1L7cOhtMjZ0SIqRkh6mkxpKcalG/3VZLyKpH2Sa5YB5Y4y3YSp5B/WGpV4I7z5CxELyoyJpUVEcBKgGP4kt2Wgy7BDMwwWPHgOlHA7bAvcOG6VVDIbcjBS/zsCP7DVE1Y54yLVYO36rS7+NNg7NXbnqY4zBHXbmCmVoGvgEr+3UOcvG8i6HWjoPrNNiSuPPy5dL1uRcKpxyDaZwAW9A0m2YwrBiDi+polX0mGO/Yrt+o0tYpFy8m28Io2uT+KprNmNeVKQFacYxHClrQPGfZOFNHvRDDcOXDeiT24cEZDpoMJlA5cMKK0lrMdmNFg7MQpKvyxFkCKWjH+xVR+lXNudlTfOjKeV556SrPnJ/l5Kkpqn4NLpGQNNOkxMrGJl9/5xozvT4f//CrbK1vMzE+ydbePiEEYhVpU0vKdtC1OZtcaRXpj/VA4NTMJJNjPaanxhk1QyoN9HpjDFPit774Nb721rtmLiV7xyLn/TsbQEUJREaqDBorDKonxxgMRsQqOClCCBpIKTMxOcGwMQrbMLWu6pfBpYizZqR1ZUbseY8SNCGgmhgLAU0HNLbCLPIsf0HHbF0GY0FYYZgJYFUO1SU9pIWu5i2WMnZFDRpQdWE0DmRcs+0xCcmaEkeLugx2xOCtZPV3SQP1eGJiKrP10OirSS0B3xeMFpeyHThO6SsK5+rRqQIhinensoPaZlvqFehYUbjtCOVkw+WMBRoRUjZ2VK1Wg5FViTm4kc/OY09ItEIeyeI0P2uUrdmUMgFPViqEyhgvqbXIw6Px3Fo1sqoLbAmdaId6hJyK41WSNo+1l9/iDf9/DBF5AOwCD5/0tfwhjVm+Peby7TIPOJ7L0zqO5/L+4xlV/aa170+F4QYQkS+o6nc96ev4wxjfLnP5dpkHHM/laR3Hc/mDjfCt33I8jsfxOB7H42kax4b7eByP43E8jth4mgz3zz3pC/hDHN8uc/l2mQccz+VpHcdz+QOMpwbjPh7H43gcj+PxwcbT5HEfj+NxPI7H8fgA44kbbhH5QRF5S0TeFZHPPOnr+VZDRP4XEVkVka8feu20iHxORN7xr6cO/dtnfW5vicgPPJmr/uZDRC6IyK+JyJsi8rqI/JS/fuTmIyJjIvJ5EfmKz+W/8NeP3FwARCSKyO+IyD/yn4/qPG6IyNdE5Msi8gV/7ajO5aSI/D0R+YbvmT/6xOaipejiCfyPFSO+B1wBesBXgJef5DV9gGv+buA14OuHXvuvgc/4958B/iv//mWfUx+47HONT3oOh657EXjNvz8BvO3XfOTmg5WfTPn3NfBbwCeO4lz8+n4a+AXgHx3xNXYDmP09rx3VufxN4M/79z3g5JOay5P2uD8GvKuq11R1BPwi8CNP+JoeO1T1nwOPfs/LP4I9VPzrv33o9V9U1aGqXgfexeb8VAxVXVHVL/n328CbwBJHcD5qY8d/rP1/5QjORUTOA38K+OuHXj5y83jMOHJzEZFpzGn7nwFUdaSqGzyhuTxpw70E3D708x1/7aiNeVVdATOGwJy/fmTmJyKXgO/EPNUjOR+HF74MrAKfU9WjOpe/BvxlDsltcDTnAXZ4/lMR+aKI/IS/dhTncgV4APwNh7D+uohM8oTm8qQN9zeTUvl2orkcifmJyBTw94H/TFW3HvfWb/LaUzMfVU2q+mHgPPAxEXn1MW9/KuciIj8ErKrqFz/or3yT1574PA6NT6rqa8CfBH5SRL77Me99mudSYRDp/6iq34lJdDwuJ/f/6VyetOG+A1w49PN5YPkJXcu/zrgvIosA/nXVX3/q5yciNWa0/5aq/gN/+cjOB8BD2F8HfpCjN5dPAj8sIjcw6PBPiMjPc/TmAYCqLvvXVeB/w+CCoziXO8Adj+IA/h5myJ/IXJ604f5t4DkRuSwiPeBHgV96wtf0Bxm/BPyYf/9jwD889PqPikhfRC4DzwGffwLX902HiAiG2b2pqn/10D8dufmIyFkROenfjwPfC3yDIzYXVf2sqp5X1UvYfvhVVf2zHLF5AIjIpIicKN8D3w98nSM4F1W9B9wWkRf8pe8B3uBJzeUpyNR+GmMzvAf8zJO+ng9wvX8bWAEa7FT9ceAM8M+Ad/zr6UPv/xmf21vAn3zS1/975vLHsPDtq8CX/f9PH8X5AH8E+B2fy9eB/9xfP3JzOXR9n+KAVXLk5oHhwl/x/18v+/sozsWv7cPAF3yN/e/AqSc1l+PKyeNxPI7H8Thi40lDJcfjeByP43E8fp/j2HAfj+NxPI7HERvHhvt4HI/jcTyO2Dg23MfjeByP43HExrHhPh7H43gcjyM2jg338Tgex+N4HLFxbLiPx/E4HsfjiI1jw308jsfxOB5HbPw/q5+P1gpZ1SgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "imgid_with_max_questions = img_question_counts.index[0]\n",
    "show_fvqa_image(imgid_with_max_questions)\n",
    "col = ['question','fact', 'question_id', 'answer']\n",
    "questions_data_df[questions_data_df['img_file'] == imgid_with_max_questions][col]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Visual Concepts Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total visual_concepts length =  1247\n",
      "Unique visual_concepts length =  1218\n"
     ]
    }
   ],
   "source": [
    "# Load Visula Concept Classes\n",
    "\n",
    "coco_classes = np.asarray(['__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus',\n",
    "                           'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign',\n",
    "                           'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',\n",
    "                           'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag',\n",
    "                           'tie', 'suitcase', 'frisbee', 'skis','snowboard', 'sports ball', 'kite',\n",
    "                           'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket',\n",
    "                           'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana',\n",
    "                           'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza',\n",
    "                           'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table',\n",
    "                           'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone',\n",
    "                           'microwave', 'oven', 'toaster', 'sink', 'refrigerator',\n",
    "                           'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'])\n",
    "\n",
    "imagenet_classes = np.asarray(['__background__', 'accordion', 'airplane', 'ant', 'antelope', 'apple', 'armadillo',\n",
    "                    'artichoke', 'axe', 'baby bed', 'backpack', 'bagel', 'balance beam', 'banana', 'band aid', 'banjo', 'baseball',\n",
    "                    'basketball', 'bathing cap', 'beaker', 'bear', 'bee', 'bell pepper', 'bench', 'bicycle', 'binder', 'bird',\n",
    "                    'bookshelf', 'bow tie', 'bow', 'bowl', 'brassiere', 'burrito', 'bus', 'butterfly', 'camel', 'can opener',\n",
    "                    'car', 'cart', 'cattle', 'cello', 'centipede', 'chain saw', 'chair', 'chime', 'cocktail shaker', 'coffee maker',\n",
    "                    'computer keyboard', 'computer mouse', 'corkscrew', 'cream', 'croquet ball', 'crutch', 'cucumber',\n",
    "                    'cup or mug', 'diaper', 'digital clock', 'dishwasher', 'dog', 'domestic cat', 'dragonfly', 'drum', 'dumbbell',\n",
    "                    'electric fan', 'elephant', 'face powder', 'fig', 'filing cabinet', 'flower pot', 'flute', 'fox', 'french horn',\n",
    "                    'frog', 'frying pan', 'giant panda', 'goldfish', 'golf ball', 'golfcart', 'guacamole', 'guitar', 'hair dryer',\n",
    "                     'hair spray', 'hamburger', 'hammer', 'hamster', 'harmonica', 'harp', 'hat with a wide brim', 'head cabbage',\n",
    "                     'helmet', 'hippopotamus', 'horizontal bar', 'horse', 'hotdog', 'iPod', 'isopod', 'jellyfish', 'koala bear',\n",
    "                     'ladle', 'ladybug', 'lamp', 'laptop', 'lemon', 'lion', 'lipstick', 'lizard', 'lobster', 'maillot', 'maraca',\n",
    "                     'microphone', 'microwave', 'milk can', 'miniskirt', 'monkey', 'motorcycle', 'mushroom', 'nail', 'neck brace',\n",
    "                     'oboe', 'orange', 'otter', 'pencil box', 'pencil sharpener', 'perfume', 'person', 'piano', 'pineapple',\n",
    "                     'ping-pong ball', 'pitcher', 'pizza', 'plastic bag', 'plate rack', 'pomegranate', 'popsicle', 'porcupine',\n",
    "                     'power drill', 'pretzel', 'printer', 'puck', 'punching bag', 'purse', 'rabbit', 'racket', 'ray', 'red panda',\n",
    "                     'refrigerator', 'remote control', 'rubber eraser', 'rugby ball', 'ruler', 'salt or pepper shaker', 'saxophone',\n",
    "                     'scorpion', 'screwdriver', 'seal', 'sheep', 'ski', 'skunk', 'snail', 'snake', 'snowmobile', 'snowplow', 'soap dispenser',\n",
    "                     'soccer ball', 'sofa', 'spatula', 'squirrel', 'starfish', 'stethoscope', 'stove', 'strainer', 'strawberry', 'stretcher',\n",
    "                     'sunglasses', 'swimming trunks', 'swine', 'syringe', 'table', 'tape player', 'tennis ball', 'tick', 'tie', 'tiger',\n",
    "                     'toaster', 'traffic light', 'train', 'trombone', 'trumpet', 'turtle', 'tv or monitor', 'unicycle', 'vacuum', 'violin',\n",
    "                     'volleyball', 'waffle iron', 'washer', 'water bottle', 'watercraft', 'whale', 'wine bottle', 'zebra'])\n",
    "\n",
    "places_365_classes = []\n",
    "\n",
    "utils_path = \"utils\"\n",
    "\n",
    "with open(os.path.join(utils_path, 'places365classes.txt')) as class_file:\n",
    "    for line in class_file:\n",
    "        places_365_classes.append(line.strip().split(' ')[0][3:])\n",
    "\n",
    "hoi_file = open(os.path.join(utils_path, \"hico_list_hoi.txt\"))\n",
    "next(hoi_file)\n",
    "next(hoi_file)\n",
    "hoi_dictionary = {}\n",
    "hois = []\n",
    "\n",
    "verb_dictionary = {}\n",
    "verbs_list = []\n",
    "for line in hoi_file:\n",
    "    no_zeros = line.strip(\"0\")\n",
    "    line = no_zeros.split()\n",
    "    hoi_dictionary[line[0]] = \" \".join(line[1:])\n",
    "    hois.append(\" \".join(line[1:]))\n",
    "\n",
    "verb_dictionary = {}\n",
    "a_file = open(os.path.join(utils_path, \"hico_list_vb.txt\"))\n",
    "next(a_file)\n",
    "next(a_file)\n",
    "for line in a_file:\n",
    "    key, value = line.split()\n",
    "    key = key.strip(\"0\")\n",
    "    verb_dictionary[key] = value\n",
    "    verbs_list.append(value)\n",
    "\n",
    "visual_concepts = []\n",
    "visual_concepts.extend(coco_classes.tolist())\n",
    "visual_concepts.extend(imagenet_classes.tolist())\n",
    "visual_concepts.extend(places_365_classes)\n",
    "visual_concepts.extend(hois)\n",
    "print('Total visual_concepts length = ', len(visual_concepts))\n",
    "visual_concepts = pd.Series(np.array(visual_concepts)).unique()\n",
    "print('Unique visual_concepts length = ', len(visual_concepts))\n",
    "\n",
    "visual_concepts_count_words = Counter(visual_concepts)\n",
    "visual_concepts_total_words = len(visual_concepts)\n",
    "visual_concepts_sorted_words = visual_concepts_count_words.most_common(visual_concepts_total_words)\n",
    "visual_concepts_vocab_to_int = {w:i for i, (w,c) in enumerate(visual_concepts_sorted_words)}\n",
    "visual_concepts_int_to_vocab = {i:w for i, (w,c) in enumerate(visual_concepts_sorted_words)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# Visula concept Processing\n",
    "coco_index = []\n",
    "coco_objects = []\n",
    "\n",
    "imagenet_index = []\n",
    "imagenet_objects = []\n",
    "\n",
    "hoi_index = []\n",
    "hoi_labels = []\n",
    "\n",
    "places365_index = []\n",
    "places365_labels = []\n",
    "\n",
    "json_dir = 'fvqa_data//visual_concepts'\n",
    "\n",
    "detected_visual_concepts_i = []\n",
    "detected_visual_concepts = []\n",
    "\n",
    "for index, row in merged_ques_facts_df.iterrows():\n",
    "    img_name = row['img_file']\n",
    "    ext = img_name.split('.')[-1:][0]\n",
    "    json_file = img_name.replace(ext, 'json')\n",
    "    f = open(os.path.join(json_dir, json_file))\n",
    "    json_data = json.load(f)\n",
    "    coco_i = json_data['coco-faster-rcnn']['index']\n",
    "    coco_l = json_data['coco-faster-rcnn']['labels']\n",
    "    imagenet_i = json_data['imagenet-faster-rcnn']['index']\n",
    "    imagenet_l = json_data['imagenet-faster-rcnn']['labels']\n",
    "    places365_i = np.array(json_data['places-365-detections']['index'])[0:5]\n",
    "    places365_l = np.array(json_data['places-365-detections']['labels'])[0:5]\n",
    "    hoi_i = []\n",
    "    hoi_l = []\n",
    "\n",
    "    coco_index.append(coco_i); coco_objects.append(coco_l)\n",
    "    imagenet_index.append(imagenet_i); imagenet_objects.append(imagenet_l)\n",
    "    places365_index.append(places365_i); places365_labels.append(places365_l)\n",
    "\n",
    "    if len(json_data['results']) > 0:\n",
    "        hoi_i = json_data['results']['hoi']['index']\n",
    "        hoi_l = json_data['results']['hoi']['hois']\n",
    "        hoi_index.append(hoi_i)\n",
    "        hoi_labels.append(hoi_l)\n",
    "    else:\n",
    "        hoi_index.append([])\n",
    "        hoi_labels.append([])\n",
    "    single_visual_concepts = []\n",
    "\n",
    "    single_visual_concepts.extend(coco_l)\n",
    "    single_visual_concepts.extend(imagenet_l)\n",
    "    single_visual_concepts.extend(places365_l.tolist())\n",
    "    single_visual_concepts.extend(hoi_l)\n",
    "    single_visual_concepts = pd.Series(np.array(single_visual_concepts)).unique()\n",
    "\n",
    "    single_visual_concepts_i = [visual_concepts_vocab_to_int[x] for x in single_visual_concepts]\n",
    "\n",
    "    detected_visual_concepts.append(single_visual_concepts)\n",
    "    detected_visual_concepts_i.append(single_visual_concepts_i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# merged_ques_facts_df['coco_index'] = coco_index\n",
    "merged_ques_facts_df['coco_objects'] = coco_objects\n",
    "# merged_ques_facts_df['imagenet_index'] = imagenet_index\n",
    "merged_ques_facts_df['imagenet_objects'] = imagenet_objects\n",
    "# merged_ques_facts_df['places365_index'] = places365_index\n",
    "merged_ques_facts_df['places365_labels'] = places365_labels\n",
    "# merged_ques_facts_df['hoi_index'] = hoi_index\n",
    "merged_ques_facts_df['hoi_labels'] = hoi_labels\n",
    "merged_ques_facts_df['detected_visual_concepts'] = detected_visual_concepts\n",
    "# merged_ques_facts_df['detected_visual_concepts_i'] = detected_visual_concepts_i\n",
    "\n",
    "# del coco_index, coco_objects, imagenet_index, imagenet_objects, places365_index, places365_labels, hoi_index, hoi_labels\n",
    "# del detected_visual_concepts, detected_visual_concepts_i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from string import punctuation\n",
    "def visual_concept_preprocessing(detected_visual_concepts):\n",
    "    return [vc.replace('_', ' ').replace('/', ' ') for vc in detected_visual_concepts if vc not in punctuation]\n",
    "merged_ques_facts_df['detected_visual_concepts'] = merged_ques_facts_df['detected_visual_concepts'].apply(lambda vc:visual_concept_preprocessing(vc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "270     [person, traffic light, umbrella, handbag, tie...\n",
       "271     [cell phone, lipstick, chemistry lab, clean ro...\n",
       "569     [person, bottle, knife, bowl, vase, face powde...\n",
       "272     [cell phone, lipstick, chemistry lab, clean ro...\n",
       "383     [bottle, cup, book, lipstick, beauty salon, co...\n",
       "                              ...                        \n",
       "5635    [person, umbrella, handbag, tennis racket, cru...\n",
       "5636    [person, umbrella, handbag, tennis racket, cru...\n",
       "5637    [person, umbrella, handbag, tennis racket, cru...\n",
       "5630    [bird, turtle, desert sand, iceberg, science m...\n",
       "5632    [person, umbrella, handbag, tennis racket, cru...\n",
       "Name: detected_visual_concepts, Length: 5826, dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_ques_facts_df['detected_visual_concepts']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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>question</th>\n",
       "      <th>img_file</th>\n",
       "      <th>answer</th>\n",
       "      <th>detected_visual_concepts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>Which object can be found in a jazz club</td>\n",
       "      <td>ILSVRC2012_test_00050748.JPEG</td>\n",
       "      <td>trumpet</td>\n",
       "      <td>[person, traffic light, umbrella, handbag, tie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>Tell me the name of the cosmetics shown in thi...</td>\n",
       "      <td>ILSVRC2012_test_00000444.JPEG</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>[cell phone, lipstick, chemistry lab, clean ro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>what object in this image is a cosmetic placed...</td>\n",
       "      <td>ILSVRC2012_test_00045533.JPEG</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>[person, bottle, knife, bowl, vase, face powde...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>What is the object shown in this image used for</td>\n",
       "      <td>ILSVRC2012_test_00000444.JPEG</td>\n",
       "      <td>coloring the lips</td>\n",
       "      <td>[cell phone, lipstick, chemistry lab, clean ro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>Which item in this image is used for colouring...</td>\n",
       "      <td>ILSVRC2012_test_00002289.JPEG</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>[bottle, cup, book, lipstick, beauty salon, co...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3756</th>\n",
       "      <td>Which item in this image is to color lips?</td>\n",
       "      <td>ILSVRC2012_test_00045533.JPEG</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>[person, bottle, knife, bowl, vase, face powde...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>Where can you find the object in this image</td>\n",
       "      <td>ILSVRC2012_test_00000444.JPEG</td>\n",
       "      <td>a makeup cabinet</td>\n",
       "      <td>[cell phone, lipstick, chemistry lab, clean ro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>Which object in this image has a tail</td>\n",
       "      <td>COCO_val2014_000000005599.jpg</td>\n",
       "      <td>kite</td>\n",
       "      <td>[person, umbrella, sports ball, kite, coast, p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5221</th>\n",
       "      <td>What object has tail?</td>\n",
       "      <td>COCO_val2014_000000023200.jpg</td>\n",
       "      <td>Kite.</td>\n",
       "      <td>[person, kite, surfboard, airplane, iceberg, o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>what object in this image is commonly eaten fo...</td>\n",
       "      <td>COCO_val2014_000000015079.jpg</td>\n",
       "      <td>sandwich</td>\n",
       "      <td>[knife, sandwich, dining table, hamburger, ice...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               question  \\\n",
       "270            Which object can be found in a jazz club   \n",
       "271   Tell me the name of the cosmetics shown in thi...   \n",
       "569   what object in this image is a cosmetic placed...   \n",
       "272     What is the object shown in this image used for   \n",
       "383   Which item in this image is used for colouring...   \n",
       "3756         Which item in this image is to color lips?   \n",
       "273         Where can you find the object in this image   \n",
       "274               Which object in this image has a tail   \n",
       "5221                              What object has tail?   \n",
       "275   what object in this image is commonly eaten fo...   \n",
       "\n",
       "                           img_file             answer  \\\n",
       "270   ILSVRC2012_test_00050748.JPEG            trumpet   \n",
       "271   ILSVRC2012_test_00000444.JPEG           lipstick   \n",
       "569   ILSVRC2012_test_00045533.JPEG           lipstick   \n",
       "272   ILSVRC2012_test_00000444.JPEG  coloring the lips   \n",
       "383   ILSVRC2012_test_00002289.JPEG           lipstick   \n",
       "3756  ILSVRC2012_test_00045533.JPEG           lipstick   \n",
       "273   ILSVRC2012_test_00000444.JPEG   a makeup cabinet   \n",
       "274   COCO_val2014_000000005599.jpg               kite   \n",
       "5221  COCO_val2014_000000023200.jpg              Kite.   \n",
       "275   COCO_val2014_000000015079.jpg           sandwich   \n",
       "\n",
       "                               detected_visual_concepts  \n",
       "270   [person, traffic light, umbrella, handbag, tie...  \n",
       "271   [cell phone, lipstick, chemistry lab, clean ro...  \n",
       "569   [person, bottle, knife, bowl, vase, face powde...  \n",
       "272   [cell phone, lipstick, chemistry lab, clean ro...  \n",
       "383   [bottle, cup, book, lipstick, beauty salon, co...  \n",
       "3756  [person, bottle, knife, bowl, vase, face powde...  \n",
       "273   [cell phone, lipstick, chemistry lab, clean ro...  \n",
       "274   [person, umbrella, sports ball, kite, coast, p...  \n",
       "5221  [person, kite, surfboard, airplane, iceberg, o...  \n",
       "275   [knife, sandwich, dining table, hamburger, ice...  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_filter = ['question','img_file', 'answer', 'detected_visual_concepts']\n",
    "merged_ques_facts_df.loc[:, col_filter].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total coco classes =  81\n",
      "total imagenet classes =  201\n",
      "total imagenet and coco =  282\n",
      "common classes imagenet and coco =  29\n",
      "===============================\n",
      "Total Visual Concepts\n",
      "===============================\n",
      "different classes imagenet and coco =  253\n",
      "total places 365 classes =  365\n",
      "total hoi (human object interaction) classes =  600\n",
      "total Visual Concepts =  1218\n"
     ]
    }
   ],
   "source": [
    "common_classes = [x for x in coco_classes if x in imagenet_classes and places_365_classes]\n",
    "len_coco = len(coco_classes)\n",
    "len_imagenet = len(imagenet_classes)\n",
    "print('total coco classes = ', len_coco)\n",
    "print('total imagenet classes = ', len_imagenet)\n",
    "print('total imagenet and coco = ', len_coco + len_imagenet)\n",
    "print('common classes imagenet and coco = ', len(common_classes))\n",
    "\n",
    "print('===============================')\n",
    "print('Total Visual Concepts')\n",
    "print('===============================')\n",
    "print('different classes imagenet and coco = ', len_coco + len_imagenet - len(common_classes))\n",
    "print('total places 365 classes = ', len(places_365_classes))\n",
    "print('total hoi (human object interaction) classes = ', len(hois))\n",
    "\n",
    "print('total Visual Concepts = ',  len_coco + len_imagenet - len(common_classes) + len(places_365_classes) + len(hois))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Loading GloVe 300d embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "embeddings_dict = {}\n",
    "path_glove300d = \"F:\\\\NUST\\\\thesis_local\\\\Practice\\\\straight-to-the-fact\\\\glove.6B\"\n",
    "with open(os.path.join(path_glove300d, \"glove.6B.300d.txt\"), 'r', encoding=\"utf-8\") as f:\n",
    "    for line in f:\n",
    "        values = line.split()\n",
    "        word = values[0]\n",
    "        vector = np.asarray(values[1:], \"float32\")\n",
    "        embeddings_dict[word] = vector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-5.5598e-01,  2.7967e-02, -3.2289e-01, -7.5042e-02, -1.3179e-01,\n",
       "        1.3271e-01, -1.5578e-01,  1.1468e-01, -5.5989e-02, -1.6266e+00,\n",
       "        1.2912e-01, -2.0525e-01, -2.1620e-01, -8.7432e-02, -8.5335e-02,\n",
       "        3.3107e-02, -2.2467e-01, -9.9248e-02, -2.1777e-01, -2.5671e-01,\n",
       "        6.3234e-02,  5.0175e-01, -1.6002e-01,  3.0961e-01,  2.0912e-01,\n",
       "       -2.9045e-01,  4.2019e-02, -2.2472e-02,  2.4542e-01, -7.5772e-02,\n",
       "       -5.6552e-01,  6.2501e-01, -3.5209e-01, -6.0992e-01, -9.3654e-01,\n",
       "        2.5625e-01,  2.1782e-01, -2.4591e-01, -5.3093e-01,  2.0034e-01,\n",
       "        2.2471e-02,  7.3258e-02, -2.9808e-02,  8.2042e-02, -2.6838e-01,\n",
       "        1.1861e-02,  5.9190e-01,  8.2740e-03, -7.7560e-02,  3.7252e-01,\n",
       "        1.2574e-01,  5.6610e-02,  6.1548e-01,  1.9826e-01, -5.3163e-02,\n",
       "        2.7715e-01,  1.5825e-01,  1.3941e-01,  3.5109e-01, -2.1844e-01,\n",
       "        1.0418e-01,  8.9417e-02,  1.1362e-01,  2.5903e-01, -1.0444e-01,\n",
       "       -3.0457e-01, -3.6033e-01, -2.2062e-01, -4.7356e-01,  4.8017e-01,\n",
       "        3.7563e-02, -4.2485e-01, -2.6248e-02, -1.4516e-01,  1.2868e-02,\n",
       "        4.1353e-02,  1.9570e-01,  3.4752e-01,  1.5859e-01,  9.7584e-02,\n",
       "       -1.5350e-01,  2.4506e-01, -1.2282e-01,  2.4122e-01, -4.2262e-01,\n",
       "       -2.0683e-01, -2.6847e-01, -2.2687e-01, -3.8363e-02,  5.3815e-01,\n",
       "       -7.7009e-01,  3.2950e-01, -4.2145e-01, -2.9034e-01,  5.9593e-01,\n",
       "       -4.1209e-02, -3.3990e-01,  3.4740e-01,  1.4502e-01, -2.1154e-01,\n",
       "       -2.9105e-01,  6.1433e-04, -3.4839e-02, -6.4460e-02,  5.0316e-01,\n",
       "        3.4938e-01,  6.1775e-01, -1.5638e-01, -1.0320e-03,  1.3306e-01,\n",
       "       -8.5934e-03,  5.2760e-01,  2.2607e-01, -1.9192e-01,  2.3934e-01,\n",
       "        4.2408e-01,  2.0813e-01, -2.6179e-01, -1.6044e-02,  1.1079e-01,\n",
       "       -3.2166e-01,  4.0659e-01, -3.6406e-01,  3.2891e-01,  1.7975e-01,\n",
       "       -2.1641e-01,  4.4669e-02,  2.1080e-01,  5.8726e-01, -3.9853e-01,\n",
       "        2.5704e-01,  1.5711e-01,  2.4748e-01,  2.4896e-01, -3.0250e-01,\n",
       "        2.3385e-01, -3.6426e-01,  1.2516e-01, -1.3441e-01,  2.3204e-01,\n",
       "       -1.9477e-01,  3.6307e-01,  7.8216e-02,  2.1459e-01, -8.8479e-01,\n",
       "       -1.0320e-03,  2.4846e-01, -2.2664e-02, -5.1744e-01,  3.3348e-01,\n",
       "        7.7626e-02, -7.3894e-02,  3.1331e-01,  2.7608e-02, -1.8036e-01,\n",
       "        3.1385e-01,  1.8773e-01, -2.0807e-01,  5.4752e-02,  1.8627e-01,\n",
       "        1.4948e-02, -5.4603e-02,  1.8363e-01, -1.4509e-01,  1.9973e-01,\n",
       "       -8.4463e-02, -1.9198e-01,  4.3096e-01,  3.5008e-01,  2.0263e-01,\n",
       "        3.2626e-01, -1.1434e-01, -3.7039e-01, -1.5726e-01,  8.5719e-02,\n",
       "       -4.8072e-01, -5.9093e-02, -1.1483e-01, -9.7550e-02,  8.2889e-02,\n",
       "        4.5523e-01, -1.3926e-01, -2.0038e-01,  3.8418e-02, -4.1626e-01,\n",
       "       -1.4689e-01, -1.6075e-02,  2.0048e-02, -4.1291e-01,  4.6730e-01,\n",
       "        1.4628e-01, -2.2465e-01, -7.6520e-02,  1.4452e-02, -6.4826e-02,\n",
       "       -2.0555e-01, -4.4776e-01, -2.0911e-01, -6.0918e-01, -3.0740e-02,\n",
       "        9.8495e-01,  1.6478e-01,  1.5810e-02, -8.9430e-02,  3.1878e-02,\n",
       "        1.2131e-01,  4.0689e-02,  5.8173e-01, -6.8877e-02,  1.1653e-01,\n",
       "       -1.1146e-01, -2.6589e-01, -2.0509e-02, -4.3364e-01, -9.0592e-02,\n",
       "        1.8698e-01, -7.9930e-02,  2.0000e-01,  2.6330e-01,  5.1927e-01,\n",
       "       -8.9245e-01,  4.6274e-01,  1.9883e-01,  1.9705e-01, -1.6986e-03,\n",
       "       -7.1647e-02, -1.0824e-01, -1.7091e-01,  5.8744e-02,  6.1106e-01,\n",
       "       -9.9967e-02, -2.4145e-01,  2.7622e-01, -2.5510e-01, -2.5294e-02,\n",
       "        1.4823e-01, -4.8736e-02, -4.1892e-02, -3.5993e-01,  3.3607e-01,\n",
       "        3.3322e-01, -1.9354e-01,  4.3084e-01, -2.0168e-01,  1.0703e-01,\n",
       "        1.1302e-01,  8.7479e-02,  2.4039e-01,  2.5433e-01,  2.4598e-01,\n",
       "        2.8586e-01, -7.2290e-03, -2.5722e-02, -6.8679e-02,  4.3549e-01,\n",
       "        3.9416e-01,  2.0423e-01, -5.6354e-03,  2.3410e-01, -2.1078e-01,\n",
       "        9.6383e-02, -1.7153e-02, -2.0387e-01,  1.5907e-01, -5.9309e-01,\n",
       "       -6.9500e-02,  8.9703e-01,  1.6332e-01,  1.4649e-01,  3.2346e-01,\n",
       "       -5.2467e-03, -3.8847e-01,  4.4625e-01,  4.4645e-01,  1.5730e-01,\n",
       "        8.5002e-02, -2.1817e+00, -2.4456e-01,  3.1126e-01, -5.7708e-02,\n",
       "       -3.2410e-02, -3.2448e-01,  5.0954e-01,  1.5179e-01, -2.5333e-01,\n",
       "        7.3417e-01, -7.0299e-02,  1.4858e-01, -4.1725e-01, -1.1175e-01,\n",
       "        3.3894e-01, -3.1731e-01, -2.7810e-01, -4.3502e-01,  3.0036e-01,\n",
       "       -4.7751e-01, -4.3544e-01,  1.7415e-01, -1.2442e-01,  1.5370e-01],\n",
       "      dtype=float32)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "embeddings_dict['person']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from scipy import spatial\n",
    "def calculate_cosine_distance(a, b):\n",
    "    cosine_distance = float(spatial.distance.cosine(a, b))\n",
    "    return cosine_distance\n",
    "def calculate_cosine_similarity(a, b):\n",
    "    cosine_similarity = 1 - calculate_cosine_distance(a, b)\n",
    "    return cosine_similarity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Similar Facts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from string import punctuation\n",
    "def question_glove_embedding(question):\n",
    "    question = ''.join([q for q in question if q not in punctuation])\n",
    "    # print(question)\n",
    "    question = question.split()\n",
    "    question_words_emb = []\n",
    "    for w in question:\n",
    "        try:\n",
    "            question_words_emb.append(embeddings_dict[w.lower()])\n",
    "        except KeyError:\n",
    "            question_words_emb.append(np.zeros(300))\n",
    "    data = np.array(question_words_emb)\n",
    "    question_glove_emb = np.average(data, axis=0)\n",
    "    return question_glove_emb\n",
    "\n",
    "def visual_concept_glove_embedding(vc_list):\n",
    "    vc_list = [word for vc in vc_list for word in vc.split()]\n",
    "    vc_words_emb = [0] * 300\n",
    "    # print('all', vc_list)\n",
    "    # print('exsist')\n",
    "    for w in vc_list:\n",
    "        if w in fvqa_vocab_to_int:\n",
    "            # print(w.lower())\n",
    "            try:\n",
    "                vc_words_emb.append(embeddings_dict[w.lower()])\n",
    "            except KeyError:\n",
    "                vc_words_emb.append(np.zeros(300))\n",
    "    data = np.array(vc_words_emb)\n",
    "    visual_concepts_glove_emb = np.average(data, axis=0)\n",
    "    return visual_concepts_glove_emb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def fact_glove_embeddings(fact):\n",
    "    e1_labels = fact['e1_label']\n",
    "    e1_labels = ''.join([label for label in e1_labels if label not in punctuation])\n",
    "    fact_words = e1_labels.split()\n",
    "    e2_labels = fact['e2_label']\n",
    "    e2_labels = ''.join([label for label in e2_labels if label not in punctuation])\n",
    "    fact_words.extend(e2_labels.split())\n",
    "    fact_emb = []\n",
    "    for w in fact_words:\n",
    "        try:\n",
    "            fact_emb.append(embeddings_dict[w.lower()])\n",
    "        except KeyError:\n",
    "            fact_emb.append(np.zeros(300))\n",
    "    fact_emb = np.array(fact_emb)\n",
    "    fact_emb = np.average(fact_emb, axis=0)\n",
    "    return fact_emb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "top similar fact and its similarity: 0.8627697229385376 KB                                                  conceptnet\n",
      "e1_label     difference between bicycle and audience one be...\n",
      "e2_label                                                 metal\n",
      "uri          /a/[/r/MadeOf/,/c/en/difference_between_bicycl...\n",
      "surface      [[difference between a bicycle and an audience...\n",
      "dataset                                     /d/conceptnet/4/en\n",
      "sources      /and/[/s/activity/omcs/globalmind/,/s/contribu...\n",
      "r                                                    /r/MadeOf\n",
      "context                                               /ctx/all\n",
      "score                                                      1.0\n",
      "e1           /c/en/difference_between_bicycle_and_audience_...\n",
      "e2                                                 /c/en/metal\n",
      "isnegated                                                  NaN\n",
      "Name: conceptnet/e/bdb278197e7b379d787a9fb0fd24688a73a44da9, dtype: object\n",
      "ground truth fact and its similarity: 0.5102825164794922 KB                                                  conceptnet\n",
      "e1_label                                               trumpet\n",
      "e2_label                                             jazz club\n",
      "uri          /a/[/r/AtLocation/,/c/en/trumpet/,/c/en/jazz_c...\n",
      "surface      You are likely to find [[a trumpet]] in [[a ja...\n",
      "dataset                                     /d/conceptnet/4/en\n",
      "sources      /and/[/s/activity/omcs/globalmind/,/s/contribu...\n",
      "r                                                /r/AtLocation\n",
      "context                                               /ctx/all\n",
      "score                                                      1.0\n",
      "e1                                               /c/en/trumpet\n",
      "e2                                             /c/en/jazz_club\n",
      "isnegated                                                  NaN\n",
      "Name: conceptnet/e/f768f157e4446dd594536f8ef02681515586ba2d, dtype: object\n"
     ]
    }
   ],
   "source": [
    "first_ques = merged_ques_facts_df.iloc[0]\n",
    "most_similar_fact = all_facts_data_df.loc['conceptnet/e/bdb278197e7b379d787a9fb0fd24688a73a44da9']\n",
    "supporting_similar_fact = all_facts_data_df.loc['conceptnet/e/f768f157e4446dd594536f8ef02681515586ba2d']\n",
    "ques_emb = question_glove_embedding(first_ques['question'])\n",
    "vc_emb = visual_concept_glove_embedding(first_ques['detected_visual_concepts'])\n",
    "vc_ques_emb = np.average([ques_emb, vc_emb], axis=0)\n",
    "\n",
    "most_similar_fact_emb = fact_glove_embeddings(most_similar_fact)\n",
    "supporting_similar_fact_emb = fact_glove_embeddings(supporting_similar_fact)\n",
    "\n",
    "most_similar_fact_similarity = calculate_cosine_similarity(vc_ques_emb, most_similar_fact_emb)\n",
    "supporting_similar_fact_similarity = calculate_cosine_similarity(vc_ques_emb, supporting_similar_fact_emb)\n",
    "\n",
    "print('top similar fact and its similarity:', most_similar_fact_similarity, most_similar_fact)\n",
    "print('ground truth fact and its similarity:', supporting_similar_fact_similarity, supporting_similar_fact)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "merged_ques_facts_df['question_glove_emb'] = merged_ques_facts_df['question'].apply(lambda q:question_glove_embedding(q))\n",
    "merged_ques_facts_df['detected_visual_concepts_glove_emb'] = merged_ques_facts_df['detected_visual_concepts'].apply(lambda vc:visual_concept_glove_embedding(vc))\n",
    "merged_ques_facts_df['vc_ques_avg_emb'] = merged_ques_facts_df.apply(lambda x: np.average([x['question_glove_emb'], x['detected_visual_concepts_glove_emb']], axis=0), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>question_glove_emb</th>\n",
       "      <th>detected_visual_concepts_glove_emb</th>\n",
       "      <th>vc_ques_avg_emb</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>270</th>\n",
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       "      <td>[-0.23855767, 0.12600236, 0.10651863, -0.26640...</td>\n",
       "      <td>[0.0053973957, 0.006078431, -0.008733016, 0.00...</td>\n",
       "      <td>[-0.116580136, 0.0660404, 0.048892807, -0.1330...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5630</th>\n",
       "      <td>[-0.17295003, 0.1182359, -0.05399558, -0.21182...</td>\n",
       "      <td>[0.00043347242, 0.00538909, -0.009048859, 0.00...</td>\n",
       "      <td>[-0.08625828, 0.061812494, -0.03152222, -0.105...</td>\n",
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       "      <td>[-0.31933477291992557, 0.06707599681491654, -0...</td>\n",
       "      <td>[0.0053973957, 0.006078431, -0.008733016, 0.00...</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5826 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     question_glove_emb  \\\n",
       "270   [-0.3192547, 0.26529467, -0.13019101, -0.16838...   \n",
       "271   [-0.070112996, 0.1646, -0.08106989, -0.3089736...   \n",
       "569   [-0.20552087, 0.15748252, -0.018667035, -0.174...   \n",
       "272   [-0.26991102, 0.22777131, 0.03530276, -0.27782...   \n",
       "383   [-0.21976165, 0.23105346, -0.0057196724, -0.23...   \n",
       "...                                                 ...   \n",
       "5635  [-0.26219252, 0.16085917, 0.011727732, -0.3932...   \n",
       "5636  [-0.26406524, 0.19928311, -0.028189087, -0.270...   \n",
       "5637  [-0.23855767, 0.12600236, 0.10651863, -0.26640...   \n",
       "5630  [-0.17295003, 0.1182359, -0.05399558, -0.21182...   \n",
       "5632  [-0.31933477291992557, 0.06707599681491654, -0...   \n",
       "\n",
       "                     detected_visual_concepts_glove_emb  \\\n",
       "270   [-0.011033769, 0.0069697397, -0.023061635, -0....   \n",
       "271   [-0.0054393103, 0.008085377, -0.0063661477, -0...   \n",
       "569   [-0.007785855, 0.017889425, -0.0054256804, -0....   \n",
       "272   [-0.0054393103, 0.008085377, -0.0063661477, -0...   \n",
       "383   [-0.0030261187, 0.009321309, -0.009402407, -0....   \n",
       "...                                                 ...   \n",
       "5635  [0.0053973957, 0.006078431, -0.008733016, 0.00...   \n",
       "5636  [0.0053973957, 0.006078431, -0.008733016, 0.00...   \n",
       "5637  [0.0053973957, 0.006078431, -0.008733016, 0.00...   \n",
       "5630  [0.00043347242, 0.00538909, -0.009048859, 0.00...   \n",
       "5632  [0.0053973957, 0.006078431, -0.008733016, 0.00...   \n",
       "\n",
       "                                        vc_ques_avg_emb  \n",
       "270   [-0.16514423, 0.13613221, -0.07662632, -0.0946...  \n",
       "271   [-0.037776154, 0.086342685, -0.043718018, -0.1...  \n",
       "569   [-0.10665336, 0.08768597, -0.012046358, -0.098...  \n",
       "272   [-0.13767517, 0.11792834, 0.014468305, -0.1442...  \n",
       "383   [-0.111393884, 0.12018738, -0.00756104, -0.122...  \n",
       "...                                                 ...  \n",
       "5635  [-0.12839755, 0.0834688, 0.0014973576, -0.1965...  \n",
       "5636  [-0.12933391, 0.10268077, -0.018461052, -0.135...  \n",
       "5637  [-0.116580136, 0.0660404, 0.048892807, -0.1330...  \n",
       "5630  [-0.08625828, 0.061812494, -0.03152222, -0.105...  \n",
       "5632  [-0.15696868861171728, 0.03657721386601528, -0...  \n",
       "\n",
       "[5826 rows x 3 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_filter = ['question_glove_emb', 'detected_visual_concepts_glove_emb', 'vc_ques_avg_emb']\n",
    "merged_ques_facts_df[col_filter]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "all_facts_data_df['glove_emb'] = all_facts_data_df.apply(lambda fact: fact_glove_embeddings(fact), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <th>KB</th>\n",
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       "      <th>conceptnet/e/a9c086711e083ba3503a06846848e30999b4d3f7</th>\n",
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       "      <td>monkey meat</td>\n",
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       "      <td>/c/en/image</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>/a/[/r/RelatedTo/,/c/en/jamaica/n/,/c/en/island/]</td>\n",
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       "      <td>/c/en/jamaica/n</td>\n",
       "      <td>/c/en/island</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0.206307, -0.43048, -0.40867, 0.033659995, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7cf09407</th>\n",
       "      <td>conceptnet</td>\n",
       "      <td>train</td>\n",
       "      <td>arrive at station</td>\n",
       "      <td>/a/[/r/CapableOf/,/c/en/train/,/c/en/arrive_at...</td>\n",
       "      <td>[[a train]] can [[arrive at a station]]</td>\n",
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       "      <td>[-0.2162950038909912, 0.2034599930047989, -0.0...</td>\n",
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      "text/plain": [
       "                                                            KB      e1_label  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  conceptnet   monkey meat   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  conceptnet  neuroimaging   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...  conceptnet       jamaica   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  conceptnet         train   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  conceptnet   aletschhorn   \n",
       "\n",
       "                                                             e2_label  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...               meat   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...              image   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...             island   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  arrive at station   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...           mountain   \n",
       "\n",
       "                                                                                                  uri  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  /a/[/r/RelatedTo/,/c/en/monkey_meat/n/,/c/en/m...   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  /a/[/r/EtymologicallyDerivedFrom/,/c/en/neuroi...   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...  /a/[/r/RelatedTo/,/c/en/jamaica/n/,/c/en/island/]   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  /a/[/r/CapableOf/,/c/en/train/,/c/en/arrive_at...   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  /a/[/r/RelatedTo/,/c/en/aletschhorn/n/,/c/en/m...   \n",
       "\n",
       "                                                                                              surface  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...             [[monkey meat]] is related to [[meat]]   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  The word \"[[neuroimaging]]\" etymologically com...   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...               [[Jamaica]] is related to [[island]]   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...            [[a train]] can [[arrive at a station]]   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...         [[Aletschhorn]] is related to [[mountain]]   \n",
       "\n",
       "                                                                dataset  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  /d/wiktionary/en/en   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  /d/wiktionary/en/en   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...  /d/wiktionary/en/en   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...   /d/conceptnet/4/en   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  /d/wiktionary/en/en   \n",
       "\n",
       "                                                                                              sources  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  /and/[/s/rule/definition_section/,/s/web/en.wi...   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  /and/[/s/rule/etymology_section/,/s/web/en.wik...   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...  /and/[/s/rule/definition_section/,/s/web/en.wi...   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  /and/[/s/activity/omcs/omcs1_possibly_free_tex...   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  /and/[/s/rule/definition_section/,/s/web/en.wi...   \n",
       "\n",
       "                                                                               r  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...                  /r/RelatedTo   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  /r/EtymologicallyDerivedFrom   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...                  /r/RelatedTo   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...                  /r/CapableOf   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...                  /r/RelatedTo   \n",
       "\n",
       "                                                     context  score  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  /ctx/all    1.0   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  /ctx/all    1.0   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...  /ctx/all    1.0   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  /ctx/all    1.0   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  /ctx/all    1.0   \n",
       "\n",
       "                                                                     e1  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  /c/en/monkey_meat/n   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...   /c/en/neuroimaging   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...      /c/en/jamaica/n   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...          /c/en/train   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  /c/en/aletschhorn/n   \n",
       "\n",
       "                                                                         e2  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...               /c/en/meat   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...              /c/en/image   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...             /c/en/island   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  /c/en/arrive_at_station   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...           /c/en/mountain   \n",
       "\n",
       "                                                   isnegated  \\\n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...       NaN   \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...       NaN   \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...       NaN   \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...       NaN   \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...       NaN   \n",
       "\n",
       "                                                                                            glove_emb  \n",
       "conceptnet/e/a9c086711e083ba3503a06846848e30999...  [0.42921934, 0.6463533, 0.08809, -0.22409, 0.0...  \n",
       "conceptnet/e/acfa62a6eab1fd51f6bafca20f46277c37...  [-0.011935149, 0.0537815, 0.239025, -0.44934, ...  \n",
       "conceptnet/e/f00e325c34450297a00026be9a99b63e33...  [0.206307, -0.43048, -0.40867, 0.033659995, 0....  \n",
       "conceptnet/e/9e911a1a354fde0b691a62681e10ac3c7c...  [-0.1689595, 0.11723375, 0.16884, 0.03798775, ...  \n",
       "conceptnet/e/a86ca74c722e436c1fdb7084daa45ff03a...  [-0.2162950038909912, 0.2034599930047989, -0.0...  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_facts_data_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "pycharm": {
     "is_executing": true,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "predicted_relations_df = pd.DataFrame(pd.read_pickle(\"fvqa_data//relation_type_classifier//predicted_relations.pkl\"))\n",
    "# merged_ques_facts_df = pd.merge(merged_ques_facts_df, predicted_relations_df, left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "                                   predicted_relations\n",
       "270  Index(['AtLocation', 'Category', 'UsedFor'], d...\n",
       "271  Index(['Category', 'IsA', 'RelatedTo'], dtype=...\n",
       "569  Index(['Category', 'IsA', 'RelatedTo'], dtype=...\n",
       "272  Index(['UsedFor', 'RelatedTo', 'IsA'], dtype='...\n",
       "383  Index(['UsedFor', 'RelatedTo', 'Category'], dt..."
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     "metadata": {},
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   "source": [
    "predicted_relations_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
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       "      <th>270</th>\n",
       "      <td>You are likely to find [[a trumpet]] in [[a ja...</td>\n",
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       "      <td>Which object can be found in a jazz club</td>\n",
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       "      <td>[person, traffic light, umbrella, handbag, tie...</td>\n",
       "      <td>[person, sunglasses, trombone, trumpet]</td>\n",
       "      <td>[toyshop, gift_shop, clothing_store, museum/in...</td>\n",
       "      <td>[tv no_interaction, hair_drier no_interaction,...</td>\n",
       "      <td>[person, traffic light, umbrella, handbag, tie...</td>\n",
       "      <td>[-0.3192547, 0.26529467, -0.13019101, -0.16838...</td>\n",
       "      <td>[-0.011033769, 0.0069697397, -0.023061635, -0....</td>\n",
       "      <td>[-0.16514423, 0.13613221, -0.07662632, -0.0946...</td>\n",
       "      <td>[0, 2, 2, 5, 7, 8, 8, 11, 11, 13, 15, 2]</td>\n",
       "      <td>[1, 3, 4, 6, 8, 9, 10, 7, 12, 14, 7, 16]</td>\n",
       "      <td>17</td>\n",
       "      <td>[property, property, property, of, with, prope...</td>\n",
       "      <td>[11, 10, 57, 21, 261, 2, 38, 892, 1088, 0, 0, ...</td>\n",
       "      <td>{'conceptnet/e/b0f9c6642c3b72edcf48f8a096cc066...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>[[lipstick]] belongs to the category of [[Cosm...</td>\n",
       "      <td>image</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>Tell me the name of the cosmetics shown in thi...</td>\n",
       "      <td>ILSVRC2012_test_00000444.JPEG</td>\n",
       "      <td>obj</td>\n",
       "      <td>dbpedia</td>\n",
       "      <td>dbpedia/8657</td>\n",
       "      <td>271</td>\n",
       "      <td>dbpedia</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>Cosmetics</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[[lipstick]] belongs to the category of [[Cosm...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>http://dbpedia.org/resource/Lipstick</td>\n",
       "      <td>http://dbpedia.org/resource/Cosmetics</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[cell phone]</td>\n",
       "      <td>[lipstick]</td>\n",
       "      <td>[chemistry_lab, clean_room, biology_laboratory...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[cell phone, lipstick, chemistry lab, clean ro...</td>\n",
       "      <td>[-0.070112996, 0.1646, -0.08106989, -0.3089736...</td>\n",
       "      <td>[-0.0054393103, 0.008085377, -0.0063661477, -0...</td>\n",
       "      <td>[-0.037776154, 0.086342685, -0.043718018, -0.1...</td>\n",
       "      <td>[0, 2, 2, 5, 7, 9, 11]</td>\n",
       "      <td>[1, 3, 4, 6, 8, 10, 12]</td>\n",
       "      <td>13</td>\n",
       "      <td>[property, on, property, property, on, can, of]</td>\n",
       "      <td>[1396, 1153, 16, 695, 5, 16, 3662, 507, 2, 7, ...</td>\n",
       "      <td>{'conceptnet/e/1f641e1a5c777706a0d3dd9debbc04b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>[[lipstick]] belongs to the category of [[Cosm...</td>\n",
       "      <td>image</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>what object in this image is a cosmetic placed...</td>\n",
       "      <td>ILSVRC2012_test_00045533.JPEG</td>\n",
       "      <td>obj</td>\n",
       "      <td>dbpedia</td>\n",
       "      <td>dbpedia/8657</td>\n",
       "      <td>569</td>\n",
       "      <td>dbpedia</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>Cosmetics</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[[lipstick]] belongs to the category of [[Cosm...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>http://dbpedia.org/resource/Lipstick</td>\n",
       "      <td>http://dbpedia.org/resource/Cosmetics</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[person, bottle, knife, bowl, vase]</td>\n",
       "      <td>[face powder, lipstick, perfume]</td>\n",
       "      <td>[clean_room, beauty_salon, chemistry_lab, phys...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[person, bottle, knife, bowl, vase, face powde...</td>\n",
       "      <td>[-0.20552087, 0.15748252, -0.018667035, -0.174...</td>\n",
       "      <td>[-0.007785855, 0.017889425, -0.0054256804, -0....</td>\n",
       "      <td>[-0.10665336, 0.08768597, -0.012046358, -0.098...</td>\n",
       "      <td>[0, 0, 3, 3, 5, 5, 7, 7, 9, 10, 7, 7, 13, 7, 1...</td>\n",
       "      <td>[1, 2, 4, 1, 6, 1, 1, 8, 4, 11, 12, 2, 14, 6, ...</td>\n",
       "      <td>16</td>\n",
       "      <td>[property, property, on, property, property, p...</td>\n",
       "      <td>[37, 10, 2, 7, 4, 17, 38, 3514, 7103, 52, 16, ...</td>\n",
       "      <td>{'conceptnet/e/84f3b7c2c20fb039b4088c762517ac7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>[[Lipstick]] is for [[coloring the lips]]</td>\n",
       "      <td>kb</td>\n",
       "      <td>coloring the lips</td>\n",
       "      <td>What is the object shown in this image used for</td>\n",
       "      <td>ILSVRC2012_test_00000444.JPEG</td>\n",
       "      <td>obj</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>conceptnet/e/18b413dee0ebe3cadef337f364baa6164...</td>\n",
       "      <td>272</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>color lip</td>\n",
       "      <td>/a/[/r/UsedFor/,/c/en/lipstick/,/c/en/color_lip/]</td>\n",
       "      <td>[[Lipstick]] is for [[coloring the lips]]</td>\n",
       "      <td>/d/conceptnet/4/en</td>\n",
       "      <td>/and/[/s/activity/omcs/omcs1_possibly_free_tex...</td>\n",
       "      <td>/r/UsedFor</td>\n",
       "      <td>/ctx/all</td>\n",
       "      <td>1.0</td>\n",
       "      <td>/c/en/lipstick</td>\n",
       "      <td>/c/en/color_lip</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[cell phone]</td>\n",
       "      <td>[lipstick]</td>\n",
       "      <td>[chemistry_lab, clean_room, biology_laboratory...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[cell phone, lipstick, chemistry lab, clean ro...</td>\n",
       "      <td>[-0.26991102, 0.22777131, 0.03530276, -0.27782...</td>\n",
       "      <td>[-0.0054393103, 0.008085377, -0.0063661477, -0...</td>\n",
       "      <td>[-0.13767517, 0.11792834, 0.014468305, -0.1442...</td>\n",
       "      <td>[0, 2, 2, 5, 7, 9, 11]</td>\n",
       "      <td>[1, 3, 4, 6, 8, 10, 12]</td>\n",
       "      <td>13</td>\n",
       "      <td>[property, on, property, property, on, can, of]</td>\n",
       "      <td>[37, 17, 16, 10, 507, 2, 7, 4, 112, 43, 0, 0, ...</td>\n",
       "      <td>{'conceptnet/e/b0f9c6642c3b72edcf48f8a096cc066...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>[[Lipstick]] is for [[coloring the lips]]</td>\n",
       "      <td>image</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>Which item in this image is used for colouring...</td>\n",
       "      <td>ILSVRC2012_test_00002289.JPEG</td>\n",
       "      <td>obj</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>conceptnet/e/18b413dee0ebe3cadef337f364baa6164...</td>\n",
       "      <td>383</td>\n",
       "      <td>conceptnet</td>\n",
       "      <td>lipstick</td>\n",
       "      <td>color lip</td>\n",
       "      <td>/a/[/r/UsedFor/,/c/en/lipstick/,/c/en/color_lip/]</td>\n",
       "      <td>[[Lipstick]] is for [[coloring the lips]]</td>\n",
       "      <td>/d/conceptnet/4/en</td>\n",
       "      <td>/and/[/s/activity/omcs/omcs1_possibly_free_tex...</td>\n",
       "      <td>/r/UsedFor</td>\n",
       "      <td>/ctx/all</td>\n",
       "      <td>1.0</td>\n",
       "      <td>/c/en/lipstick</td>\n",
       "      <td>/c/en/color_lip</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[bottle, cup, book]</td>\n",
       "      <td>[lipstick]</td>\n",
       "      <td>[beauty_salon, courthouse, drugstore, clean_ro...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[bottle, cup, book, lipstick, beauty salon, co...</td>\n",
       "      <td>[-0.21976165, 0.23105346, -0.0057196724, -0.23...</td>\n",
       "      <td>[-0.0030261187, 0.009321309, -0.009402407, -0....</td>\n",
       "      <td>[-0.111393884, 0.12018738, -0.00756104, -0.122...</td>\n",
       "      <td>[0, 0, 0, 3, 3, 6, 3, 9, 9, 10, 12, 2]</td>\n",
       "      <td>[1, 2, 1, 4, 5, 7, 8, 4, 5, 11, 7, 7]</td>\n",
       "      <td>13</td>\n",
       "      <td>[with, property, property, property, property,...</td>\n",
       "      <td>[11, 550, 2, 7, 4, 17, 112, 43, 20476, 16, 636...</td>\n",
       "      <td>{'conceptnet/e/84f3b7c2c20fb039b4088c762517ac7...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          fact_surface ans_source  \\\n",
       "270  You are likely to find [[a trumpet]] in [[a ja...      image   \n",
       "271  [[lipstick]] belongs to the category of [[Cosm...      image   \n",
       "569  [[lipstick]] belongs to the category of [[Cosm...      image   \n",
       "272          [[Lipstick]] is for [[coloring the lips]]         kb   \n",
       "383          [[Lipstick]] is for [[coloring the lips]]      image   \n",
       "\n",
       "                answer                                           question  \\\n",
       "270            trumpet           Which object can be found in a jazz club   \n",
       "271           lipstick  Tell me the name of the cosmetics shown in thi...   \n",
       "569           lipstick  what object in this image is a cosmetic placed...   \n",
       "272  coloring the lips    What is the object shown in this image used for   \n",
       "383           lipstick  Which item in this image is used for colouring...   \n",
       "\n",
       "                          img_file visual_concept   kb_source  \\\n",
       "270  ILSVRC2012_test_00050748.JPEG            obj  conceptnet   \n",
       "271  ILSVRC2012_test_00000444.JPEG            obj     dbpedia   \n",
       "569  ILSVRC2012_test_00045533.JPEG            obj     dbpedia   \n",
       "272  ILSVRC2012_test_00000444.JPEG            obj  conceptnet   \n",
       "383  ILSVRC2012_test_00002289.JPEG            obj  conceptnet   \n",
       "\n",
       "                                                  fact  question_id  \\\n",
       "270  conceptnet/e/f768f157e4446dd594536f8ef02681515...          270   \n",
       "271                                       dbpedia/8657          271   \n",
       "569                                       dbpedia/8657          569   \n",
       "272  conceptnet/e/18b413dee0ebe3cadef337f364baa6164...          272   \n",
       "383  conceptnet/e/18b413dee0ebe3cadef337f364baa6164...          383   \n",
       "\n",
       "             KB  e1_label   e2_label  \\\n",
       "270  conceptnet   trumpet  jazz club   \n",
       "271     dbpedia  lipstick  Cosmetics   \n",
       "569     dbpedia  lipstick  Cosmetics   \n",
       "272  conceptnet  lipstick  color lip   \n",
       "383  conceptnet  lipstick  color lip   \n",
       "\n",
       "                                                   uri  \\\n",
       "270  /a/[/r/AtLocation/,/c/en/trumpet/,/c/en/jazz_c...   \n",
       "271                                                NaN   \n",
       "569                                                NaN   \n",
       "272  /a/[/r/UsedFor/,/c/en/lipstick/,/c/en/color_lip/]   \n",
       "383  /a/[/r/UsedFor/,/c/en/lipstick/,/c/en/color_lip/]   \n",
       "\n",
       "                                               surface             dataset  \\\n",
       "270  You are likely to find [[a trumpet]] in [[a ja...  /d/conceptnet/4/en   \n",
       "271  [[lipstick]] belongs to the category of [[Cosm...                 NaN   \n",
       "569  [[lipstick]] belongs to the category of [[Cosm...                 NaN   \n",
       "272          [[Lipstick]] is for [[coloring the lips]]  /d/conceptnet/4/en   \n",
       "383          [[Lipstick]] is for [[coloring the lips]]  /d/conceptnet/4/en   \n",
       "\n",
       "                                               sources                  r  \\\n",
       "270  /and/[/s/activity/omcs/globalmind/,/s/contribu...      /r/AtLocation   \n",
       "271                                                NaN  dbpedia/transnbhd   \n",
       "569                                                NaN  dbpedia/transnbhd   \n",
       "272  /and/[/s/activity/omcs/omcs1_possibly_free_tex...         /r/UsedFor   \n",
       "383  /and/[/s/activity/omcs/omcs1_possibly_free_tex...         /r/UsedFor   \n",
       "\n",
       "      context  score                                    e1  \\\n",
       "270  /ctx/all    1.0                         /c/en/trumpet   \n",
       "271       NaN    1.0  http://dbpedia.org/resource/Lipstick   \n",
       "569       NaN    1.0  http://dbpedia.org/resource/Lipstick   \n",
       "272  /ctx/all    1.0                        /c/en/lipstick   \n",
       "383  /ctx/all    1.0                        /c/en/lipstick   \n",
       "\n",
       "                                        e2 isnegated  \\\n",
       "270                        /c/en/jazz_club       NaN   \n",
       "271  http://dbpedia.org/resource/Cosmetics       NaN   \n",
       "569  http://dbpedia.org/resource/Cosmetics       NaN   \n",
       "272                        /c/en/color_lip       NaN   \n",
       "383                        /c/en/color_lip       NaN   \n",
       "\n",
       "                                          coco_objects  \\\n",
       "270  [person, traffic light, umbrella, handbag, tie...   \n",
       "271                                       [cell phone]   \n",
       "569                [person, bottle, knife, bowl, vase]   \n",
       "272                                       [cell phone]   \n",
       "383                                [bottle, cup, book]   \n",
       "\n",
       "                            imagenet_objects  \\\n",
       "270  [person, sunglasses, trombone, trumpet]   \n",
       "271                               [lipstick]   \n",
       "569         [face powder, lipstick, perfume]   \n",
       "272                               [lipstick]   \n",
       "383                               [lipstick]   \n",
       "\n",
       "                                      places365_labels  \\\n",
       "270  [toyshop, gift_shop, clothing_store, museum/in...   \n",
       "271  [chemistry_lab, clean_room, biology_laboratory...   \n",
       "569  [clean_room, beauty_salon, chemistry_lab, phys...   \n",
       "272  [chemistry_lab, clean_room, biology_laboratory...   \n",
       "383  [beauty_salon, courthouse, drugstore, clean_ro...   \n",
       "\n",
       "                                            hoi_labels  \\\n",
       "270  [tv no_interaction, hair_drier no_interaction,...   \n",
       "271                                                 []   \n",
       "569                                                 []   \n",
       "272                                                 []   \n",
       "383                                                 []   \n",
       "\n",
       "                              detected_visual_concepts  \\\n",
       "270  [person, traffic light, umbrella, handbag, tie...   \n",
       "271  [cell phone, lipstick, chemistry lab, clean ro...   \n",
       "569  [person, bottle, knife, bowl, vase, face powde...   \n",
       "272  [cell phone, lipstick, chemistry lab, clean ro...   \n",
       "383  [bottle, cup, book, lipstick, beauty salon, co...   \n",
       "\n",
       "                                    question_glove_emb  \\\n",
       "270  [-0.3192547, 0.26529467, -0.13019101, -0.16838...   \n",
       "271  [-0.070112996, 0.1646, -0.08106989, -0.3089736...   \n",
       "569  [-0.20552087, 0.15748252, -0.018667035, -0.174...   \n",
       "272  [-0.26991102, 0.22777131, 0.03530276, -0.27782...   \n",
       "383  [-0.21976165, 0.23105346, -0.0057196724, -0.23...   \n",
       "\n",
       "                    detected_visual_concepts_glove_emb  \\\n",
       "270  [-0.011033769, 0.0069697397, -0.023061635, -0....   \n",
       "271  [-0.0054393103, 0.008085377, -0.0063661477, -0...   \n",
       "569  [-0.007785855, 0.017889425, -0.0054256804, -0....   \n",
       "272  [-0.0054393103, 0.008085377, -0.0063661477, -0...   \n",
       "383  [-0.0030261187, 0.009321309, -0.009402407, -0....   \n",
       "\n",
       "                                       vc_ques_avg_emb  \\\n",
       "270  [-0.16514423, 0.13613221, -0.07662632, -0.0946...   \n",
       "271  [-0.037776154, 0.086342685, -0.043718018, -0.1...   \n",
       "569  [-0.10665336, 0.08768597, -0.012046358, -0.098...   \n",
       "272  [-0.13767517, 0.11792834, 0.014468305, -0.1442...   \n",
       "383  [-0.111393884, 0.12018738, -0.00756104, -0.122...   \n",
       "\n",
       "                                             sg_e1_ids  \\\n",
       "270           [0, 2, 2, 5, 7, 8, 8, 11, 11, 13, 15, 2]   \n",
       "271                             [0, 2, 2, 5, 7, 9, 11]   \n",
       "569  [0, 0, 3, 3, 5, 5, 7, 7, 9, 10, 7, 7, 13, 7, 1...   \n",
       "272                             [0, 2, 2, 5, 7, 9, 11]   \n",
       "383             [0, 0, 0, 3, 3, 6, 3, 9, 9, 10, 12, 2]   \n",
       "\n",
       "                                             sg_e2_ids  sg_node_counts  \\\n",
       "270           [1, 3, 4, 6, 8, 9, 10, 7, 12, 14, 7, 16]              17   \n",
       "271                            [1, 3, 4, 6, 8, 10, 12]              13   \n",
       "569  [1, 2, 4, 1, 6, 1, 1, 8, 4, 11, 12, 2, 14, 6, ...              16   \n",
       "272                            [1, 3, 4, 6, 8, 10, 12]              13   \n",
       "383              [1, 2, 1, 4, 5, 7, 8, 4, 5, 11, 7, 7]              13   \n",
       "\n",
       "                                  sg_all_relation_list  \\\n",
       "270  [property, property, property, of, with, prope...   \n",
       "271    [property, on, property, property, on, can, of]   \n",
       "569  [property, property, on, property, property, p...   \n",
       "272    [property, on, property, property, on, can, of]   \n",
       "383  [with, property, property, property, property,...   \n",
       "\n",
       "                                    question_embedding  \\\n",
       "270  [11, 10, 57, 21, 261, 2, 38, 892, 1088, 0, 0, ...   \n",
       "271  [1396, 1153, 16, 695, 5, 16, 3662, 507, 2, 7, ...   \n",
       "569  [37, 10, 2, 7, 4, 17, 38, 3514, 7103, 52, 16, ...   \n",
       "272  [37, 17, 16, 10, 507, 2, 7, 4, 112, 43, 0, 0, ...   \n",
       "383  [11, 550, 2, 7, 4, 17, 112, 43, 20476, 16, 636...   \n",
       "\n",
       "                                 top_100_similar_facts  \n",
       "270  {'conceptnet/e/b0f9c6642c3b72edcf48f8a096cc066...  \n",
       "271  {'conceptnet/e/1f641e1a5c777706a0d3dd9debbc04b...  \n",
       "569  {'conceptnet/e/84f3b7c2c20fb039b4088c762517ac7...  \n",
       "272  {'conceptnet/e/b0f9c6642c3b72edcf48f8a096cc066...  \n",
       "383  {'conceptnet/e/84f3b7c2c20fb039b4088c762517ac7...  "
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_ques_facts_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "pycharm": {
     "is_executing": true,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# merged_ques_facts_df.to_pickle('merged_ques_facts_df.pkl')\n",
    "# all_facts_data_df.to_pickle('all_facts_data_df.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "5",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\mucko-edit\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   3360\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3361\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3362\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\mucko-edit\\lib\\site-packages\\pandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\mucko-edit\\lib\\site-packages\\pandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 5",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-151-60481f940e60>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# pd.merge(merged_ques_facts_df, predicted_relations_df, left_index=True, right_index=True)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;31m# pd.concat([merged_ques_facts_df, predicted_relations_df], axis=1).head(10)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mmerged_ques_facts_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpredicted_relations_df\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\mucko-edit\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   3453\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3454\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3455\u001b[1;33m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3456\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3457\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\mucko-edit\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   3361\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3362\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3363\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3364\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3365\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0misna\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mand\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhasnans\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 5"
     ]
    }
   ],
   "source": [
    "# pd.merge(merged_ques_facts_df, predicted_relations_df, left_index=True, right_index=True)\n",
    "# pd.concat([merged_ques_facts_df, predicted_relations_df], axis=1).head(10)\n",
    "merged_ques_facts_df.join(predicted_relations_df)[5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "merged_ques_facts_df = pd.read_pickle(\"merged_ques_facts_df.pkl\")\n",
    "all_facts_data_df = pd.read_pickle(\"all_facts_data_df.pkl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def fact_similarity(merged_df_row):\n",
    "    K= 100\n",
    "    fact_similarity_scores_dict = dict()\n",
    "    # loopcount = 1\n",
    "    for index, fact_row in all_facts_data_df.iterrows():\n",
    "        # if loopcount == 105:\n",
    "        #     break\n",
    "        # loopcount+=1\n",
    "        similarity_score = calculate_cosine_similarity(merged_df_row['vc_ques_avg_emb'],\n",
    "                                                                             fact_row['glove_emb'])\n",
    "        fact_similarity_scores_dict[index] = similarity_score\n",
    "    topKfactsDict= {k: v for k, v in sorted(fact_similarity_scores_dict.items(), key=lambda item: item[1], reverse=True)[0: K]}\n",
    "    return topKfactsDict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 ) Which object can be found in a jazz club\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\envs\\mucko-edit\\lib\\site-packages\\scipy\\spatial\\distance.py:698: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  dist = 1.0 - uv / np.sqrt(uu * vv)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 ) Tell me the name of the cosmetics shown in this image?\n",
      "3 ) what object in this image is a cosmetic placed on the lips?\n",
      "4 ) What is the object shown in this image used for\n",
      "5 ) Which item in this image is used for colouring the lips?\n",
      "6 ) Which item in this image is to color lips?\n",
      "7 ) Where can you find the object in this image\n",
      "8 ) Which object in this image has a tail\n",
      "9 ) What object has tail?\n",
      "10 ) what object in this image is commonly eaten for lunch?\n",
      "11 ) Which object in this image can cut you\n",
      "12 ) Which object in this image can be used for cutting things\n",
      "13 ) Which object in this image is used for cutting things?\n",
      "14 ) Which object in this image is able to cut food\n",
      "15 ) Which object in this image is capable of cut food?\n",
      "16 ) Which object in this photo can hurt you\n",
      "17 ) Which thing in the image can hurt you?\n",
      "18 ) Which object in this image can carry person?\n",
      "19 ) What object in this image is used to carry people?\n",
      "20 ) Which object in this image is capcable of carrying person?\n",
      "21 ) Which food in this image is designed in Italian ?\n",
      "22 ) Which food in this image is designed in Italian ?\n",
      "23 ) Which object in this image is of Italian design?\n",
      "24 ) Which animal in this image can sun itself on a rock?\n",
      "25 ) Which object pictured in this image is a game system?\n",
      "26 ) Which gaming system are the person playing in this image?\n",
      "27 ) Tell me the name of the gaming system shown in this image\n",
      "28 ) Which object in this image is used for preparing food?\n",
      "29 ) Which object in this image is used for preparing food?\n",
      "30 ) Which object in this image could be used to heat a pot?\n",
      "31 ) Which object in this image might be used to heat a pot?\n",
      "32 ) What object in this image can heat a pot?\n",
      "33 ) What can you find on the pizzas in this this image?\n",
      "34 ) Which object in this image can be found in petshop?\n",
      "35 ) What object can be found in a petshop?\n",
      "36 ) What is this place used for?\n",
      "37 ) What is this place used for?\n",
      "38 ) what object in this image can be male or female?\n",
      "39 ) what object in this image can smell things?\n",
      "40 ) which object in this image has a sense of smell?\n",
      "41 ) which object in this picture can smell\n",
      "42 ) which object in this image is capable of doing a job to earn money?\n",
      "43 ) what object in this image can dance to music?\n",
      "44 ) what object in this image can post a letter?\n",
      "45 ) what object in this image can walk?\n",
      "46 ) which object in this image is capable of painting a house and a bedroom?\n",
      "47 ) which object in this image is capable of smelling dirty shoes?\n",
      "48 ) which object in this image is capable of owning an object?\n",
      "49 ) which object in this image is capable of owning a object?\n",
      "50 ) what object in this image can loose weight?\n",
      "51 ) What is the purple object in the image can be used for?\n",
      "52 ) Which object in this image is used for packing?\n",
      "53 ) What thing in the image you can use to pack clothing\n",
      "54 ) Which object in this image is used to pack clothing?\n",
      "55 ) Which object in this image is used for packing clothing?\n",
      "56 ) Which object in this image is used for packing clothes?\n",
      "57 ) What object in this image is used for covering hands?\n",
      "58 ) which object in this image is used for jazz\n",
      "59 ) which object is this image is used for jazz\n",
      "60 ) which object in this image is used for jazz\n",
      "61 ) What is the tropical fruit?\n",
      "62 ) What is the yellow fruit?\n",
      "63 ) Which thing in the image do you need in a dark room?\n",
      "64 ) Which indoor furniture in this image brightens up a dark area?\n",
      "65 ) Which thing in the image is required in the dark? \n",
      "66 ) What object can light dark area?\n",
      "67 ) What is this place can be used for?\n",
      "68 ) This room is used for what?\n",
      "69 ) What can this place in the image be used for?\n",
      "70 ) What is the place used for?\n",
      "71 ) What the room is used for?\n",
      "72 ) What is the place in this image used for?\n",
      "73 ) What is the vehicle in the water?\n",
      "74 ) Which kind of vehicle is in this image?\n",
      "75 ) Which object in this image is a vehicle?\n",
      "76 ) Whether the animal in the image is bigger or smaller than dolphin?\n",
      "77 ) Which object in this image belongs to the category Edible plants?\n",
      "78 ) Which object in this image belongs to the category Edible plants?\n",
      "79 ) Are there any objects in this image belonging to the category of edible plants?\n",
      "80 ) Which object in this image belongs to orange vegetables?\n",
      "81 ) What vegetable in the image is orange?\n",
      "82 ) Which object in this image is a orange vegetable?\n",
      "83 ) Which object in this image is a orange vegetable?\n",
      "84 ) Which object in this image is related to lawn?\n",
      "85 ) Which object in this image is related to lawn?\n",
      "86 ) Which object is this image is also known as 'lawn'?\n",
      "87 ) Which object in this image is a very large plant?\n",
      "88 ) Which object in this image is made of wood?\n",
      "89 ) Which object in this image is made of wood?\n",
      "90 ) What is white in this image?\n",
      "91 ) Which winter sport is presented in this image?\n",
      "92 ) Which object in this image belongs to the category snow sports？\n",
      "93 ) Which object is related to the Winter sports in this image?\n",
      "94 ) Which object in this image belongs to the category Winter sports?\n",
      "95 ) What is covered in snow in this image?\n",
      "96 ) Which European cuisine is shown in this image?\n",
      "97 ) What is the object in the middle used for?\n",
      "98 ) Which object in this image is used for eating?\n",
      "99 ) Which object in this image is used for eating?\n",
      "100 ) What stringed instrument is seen here?\n",
      "101 ) What stringed instrument is seen here?\n",
      "102 ) What is the name of the stringed instrument\n",
      "103 ) Which object in this image is a stringed instrument?\n",
      "104 ) Which vehicle in the image has windows?\n",
      "105 ) Which object in this image is able to stock food?\n",
      "106 ) Which object in this image can be used to stock food?\n",
      "107 ) Which stuff in the image is used for stock food?\n",
      "108 ) Which object in this image can be used to connect to internet?\n",
      "109 ) Which is cooler? Them machine in the image or car?\n",
      "110 ) What object shown here is cooler than a car?\n",
      "111 ) What is the object in this image used for?\n",
      "112 ) Which object in this image is dedicated for listening to music\n",
      "113 ) These thing as sued for what?\n",
      "114 ) What are they doing with the bicycle?\n",
      "115 ) What objects in this image are capable of dressing themselves?\n",
      "116 ) which object in this image can dress themselves?\n",
      "117 ) Which object in this image has a wet nose?\n",
      "118 ) Which vehicle has two wheels in this image\n",
      "119 ) Which object in this image has two wheels?\n",
      "120 ) What thing in the image can be used to record a scene?\n",
      "121 ) Which thing in the image can run?\n",
      "122 ) What is the stick style instrument in the image?\n",
      "123 ) What is the place in this image used for?\n",
      "124 ) What activity is facilitated by the place?\n",
      "125 ) What is the place in this image used for?\n",
      "126 ) What is the place in this image used for?\n",
      "127 ) Which object in this image can travel very fast?\n",
      "128 ) Which object in this image is travelling very fast?\n",
      "129 ) Which vehicle is more important?\n",
      "130 ) Which object in this image could be used for sitting on?\n",
      "131 ) What object in this image is for sitting on?\n",
      "132 ) Which object might be found in a pitcher's hand?\n",
      "133 ) Which object in this image is capable of eat fish?\n",
      "134 ) Which object in this image is capable of eat fish?\n",
      "135 ) Which object in this image is capable of eat fish?\n",
      "136 ) Which object in this image is capable of eat fish?\n",
      "137 ) Which object in this image likes eating fish?\n",
      "138 ) Which object in this image is capable of eat fish?\n",
      "139 ) Which object in this image is capable of eat fish?\n",
      "140 ) Which object in this image is related to liquor?\n",
      "141 ) Which object in this image is an item of Kitchenware?\n",
      "142 ) What popular pet is in this image?\n",
      "143 ) Which object in this image is a popular pet?\n",
      "144 ) Which object in this image is a popular pet?\n",
      "145 ) What object is used to guarantee road safety?\n",
      "146 ) Which sweet food is healthier than chocolate?\n",
      "147 ) Which object in this image belongs to the category Foods?\n",
      "148 ) what's shown in the image?\n",
      "149 ) Which sort of food is in this image?\n",
      "150 ) Which object in this image belongs to the category Foods?\n",
      "151 ) What is one thing in this image that can drink a glass of milk?\n",
      "152 ) Which object in this image is related to flatbread?\n",
      "153 ) which fruit in this image has less natural sugar than sweet potato?\n",
      "154 ) Which object in this image can be found in lake river and ocean?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "155 ) Where can people find fish\n",
      "156 ) What fast food item is in this image?\n",
      "157 ) What fast food can be found in this image?\n",
      "158 ) Which object in this image belongs to Fast food\n",
      "159 ) Which object in this image is used for self expression?\n",
      "160 ) Do you need small balls or big balls for this game?\n",
      "161 ) Why do they have a cake?\n",
      "162 ) Whether this animal lives in the wild or in the room?\n",
      "163 ) Which object in this image can catch a fly?\n",
      "164 ) what object in this image is related to plumbing?\n",
      "165 ) what object in this image is a kind of seat?\n",
      "166 ) What kind of vitamin does this breakfast contain?\n",
      "167 ) Which food in this image is full of vitamin C\n",
      "168 ) Which thing in the image are full of vitamin C?\n",
      "169 ) What shown here is full of vitamin C?\n",
      "170 ) What kind of vitamin does the fruit in the image contain?\n",
      "171 ) What is the object in the hand of the person rich of ?\n",
      "172 ) What are they making?\n",
      "173 ) What animal is playful and friendly\n",
      "174 ) What shown in this image is generally very playful and friendly?\n",
      "175 ) Which animal in this image can be a friend to humans?\n",
      "176 ) Which object in this image can sometimes be found in the Amazon river?\n",
      "177 ) Which object in this image is related to lignify?\n",
      "178 ) Which object in this image can sometimes be found in a horserace?\n",
      "179 ) Which object in this image is filled with pressurised air?\n",
      "180 ) Which object in this image is filedl with pressurised air?\n",
      "181 ) Which object in this image can be found in traffic scenes?\n",
      "182 ) Which object in this image is related to four wheels?\n",
      "183 ) Which action is longer than the action shown in this image?\n",
      "184 ) Which object in this image can travel on road?\n",
      "185 ) Which object in this image can be used to heat food?\n",
      "186 ) Tell me what thing is the object in the middle capable of \n",
      "187 ) which object in this image can be used to heat food?\n",
      "188 ) What is the place in this image used for?\n",
      "189 ) What is the place in this image used for?\n",
      "190 ) What is the place in this image used for?\n",
      "191 ) What is the place in this image used for?\n",
      "192 ) What do you do in a kitchenette?\n",
      "193 ) which object in this image comes from the fruit category\n",
      "194 ) What is the fruit in the image?\n",
      "195 ) which object in this image is taller than shrub?\n",
      "196 ) Which object in this image used to open things?\n",
      "197 ) Which kind of sport in this image comes from North America?\n",
      "198 ) What sport in the image belongs to team sports?\n",
      "199 ) What object in this image is related to mitts?\n",
      "200 ) What objects in this image are used to protect heads?\n",
      "201 ) Which object in this image is used for protecting the head?\n",
      "202 ) What object in this image is a type of protective garment?\n",
      "203 ) What object in this image is a type of protective garment?\n",
      "204 ) What object in this image is used to hit a baseball?\n",
      "205 ) Which object in this image is used for hitting baseballs?\n",
      "206 ) ￼Which object in this image is used for hitting baseballs?\n",
      "207 ) What object in this image can hit a baseball?\n",
      "208 ) Which object in this image is used for hit baseball?\n",
      "209 ) What is used to hit a baseball?\n",
      "210 ) What is the object in the men's hand could be used for?\n",
      "211 ) What ball game is in this image?\n",
      "212 ) Which object in this image is related to whey?\n",
      "213 ) What kind of bottle opener can be seen here?\n",
      "214 ) Which object in this image is rich in potassium?\n",
      "215 ) Which object in this image has the property of rich in potassium?\n",
      "216 ) Which object in this image is rich in potassium?\n",
      "217 ) Which object in this image is related to plantains?\n",
      "218 ) Which object in this image is related to knot?\n",
      "219 ) Which object in this image is related to knot?\n",
      "220 ) Which piece of clothes in this image has a knot?\n",
      "221 ) What is the place in this image used for?\n",
      "222 ) Which animal in this image belongs to the category Herpetology?\n",
      "223 ) Which object in the image has shell?\n",
      "224 ) Which object in the image has a hard shell?\n",
      "225 ) Which object in this image is a round object?\n",
      "226 ) Which thing in this image is a round object?\n",
      "227 ) Which object in this image belongs to the category Bedding?\n",
      "228 ) Which object in this image can be classified into Bedding?\n",
      "229 ) Which accessory belongs to the category fashion?\n",
      "230 ) Which accessory in this image can be found in woman's closet?\n",
      "231 ) What object in this image is used for ensure  the Road traffic safety?\n",
      "232 ) Which object in this image is an animal?\n",
      "233 ) Which object in this image is an animal?\n",
      "234 ) What is the animal in the image?\n",
      "235 ) Which object in this image is long-necked?\n",
      "236 ) Which object has long neck in this image?\n",
      "237 ) What object in this image has a long neck?\n",
      "238 ) Which animal in the image has a long neck?\n",
      "239 ) Which animal in this image has the property of long neck?\n",
      "240 ) Which object in this image has a long neck?\n",
      "241 ) what object in this image has a long neck?\n",
      "242 ) Which object in this image is long-necked?\n",
      "243 ) Which animal in this image is long-necked\n",
      "244 ) Which object in this image has a long neck?\n",
      "245 ) Which object in this image has a long neck?\n",
      "246 ) Which long neck animal can you see in this image?\n",
      "247 ) Which object in this image is related to okapi?\n",
      "248 ) which object in this image sometimes wants stay alone\n",
      "249 ) What people excercise on ski slopes?\n",
      "250 ) what can we find in the scene of this image\n",
      "251 ) What can be found in this place?\n",
      "252 ) what can you observe in this image\n",
      "253 ) What can be found in this place?\n",
      "254 ) What can be found in this place?\n",
      "255 ) What can be found in this place?\n",
      "256 ) What can be found in this place?\n",
      "257 ) What can be found in this place?\n",
      "258 ) What are you likely to find in this place?\n",
      "259 ) What can be found in this place?\n",
      "260 ) What is one place that skiiers can ski on?\n",
      "261 ) What can be found in this place?\n",
      "262 ) What can be found in this place?\n",
      "263 ) Where is the boy playing?\n",
      "264 ) What can be found in this place?\n",
      "265 ) Which skiing equipment can you see in this image?\n",
      "266 ) Which action is better than the action shown in this image\n",
      "267 ) Which action is better than the action shown in this image\n",
      "268 ) Which action is better than the action shown in this image\n",
      "269 ) What portable electronic devices appear in this image? \n",
      "270 ) What portable electronic devices appear in this image? \n",
      "271 ) What portable electronic devices can be found in this image? \n",
      "272 ) What is the colour of the animal in the image?\n",
      "273 ) Which object in this image has the property of usually green color?\n",
      "274 ) Which thing in this picture is typically green?\n",
      "275 ) What is on the animal?\n",
      "276 ) Which object in this image has stripes?\n",
      "277 ) Which object in this image has stripes?\n",
      "278 ) What thing does the animal in this image have as a part?\n",
      "279 ) What thing does the animal in this image have as a part?\n",
      "280 ) What in this image has stripes?\n",
      "281 ) What in this image has stripes?\n",
      "282 ) What thing does the animal in this image have as a part?\n",
      "283 ) What thing does the animal in this image have as a part?\n",
      "284 ) What thing does the animal in this image have as a part?\n",
      "285 ) What thing does the animal in this image have as a part?\n",
      "286 ) Which object in this image has stripes?\n",
      "287 ) Which object in this image has stripes?\n",
      "288 ) What does a zebra have\n",
      "289 ) Which object in this image has stripes?\n",
      "290 ) Which object in this image has a stripe\n",
      "291 ) Why the woman in the image move the umbrella?\n",
      "292 ) What the umbrella in the image is used for?\n",
      "293 ) What might be the next step?\n",
      "294 ) What are the green long object in the image?\n",
      "295 ) Which object in this image is green?\n",
      "296 ) Where can you find this cake?\n",
      "297 ) What is this cake for?\n",
      "298 ) Which object in this image is related to wedding?\n",
      "299 ) Which thing in the image you can use to climb?\n",
      "300 ) Which thing in this picture is used to see the time?\n",
      "301 ) what object in this image can be used to check the time?\n",
      "302 ) What is a clock used for\n",
      "303 ) Which object is used to travel long distances?\n",
      "304 ) What is the drink vessel?\n",
      "305 ) Which object in this image is made of brass?\n",
      "306 ) Which object in this image could have a shelf?\n",
      "307 ) Which fruit in this image has red yellow or green in color?\n",
      "308 ) Which fruit in this image has red yellow or green in color?\n",
      "309 ) Which object in this image has the color of red yellow or green?\n",
      "310 ) Which object in this image desires trick others?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "311 ) What thing does the fruit in this image have as a part?\n",
      "312 ) Which object in this image has three keys?\n",
      "313 ) Which object in this image has three keys?\n",
      "314 ) Which object in this image has three keys?\n",
      "315 ) Which object in this image is coiled?\n",
      "316 ) What object is sometimes green?\n",
      "317 ) What's less dark than lip liner and visible in this image?\n",
      "318 ) Which thing can make a dull pencil sharp again?\n",
      "319 ) what is it in this image  related to horse?\n",
      "320 ) What is the colour object used for?\n",
      "321 ) Which object in this image is used for flying and having fun?\n",
      "322 ) Which object in this image is used for flying and having fun?\n",
      "323 ) Which object in this image is used for fly and have fun?\n",
      "324 ) Which flying object in this image is used to have fun?\n",
      "325 ) Why people can be killed by this animal?\n",
      "326 ) Which object in this image has the property of poisonous?\n",
      "327 ) What is umbrella used for?\n",
      "328 ) Which object in this image is used to heat food?\n",
      "329 ) Which object in this image is used for heating food?\n",
      "330 ) Which device in the image can be used for heating food?\n",
      "331 ) Which object in this image is used for heating food?\n",
      "332 ) What alcoholic beverage can be seen in this image?\n",
      "333 ) What animal in this image can growl?\n",
      "334 ) Which object in this image is used to store food\n",
      "335 ) What thing in this image is used for storing food\n",
      "336 ) Which vehicle in this image is less stable than car\n",
      "337 ) what thing is more stable than the vehicle shown in this image?\n",
      "338 ) what is it in this image belongs to the category Seats?\n",
      "339 ) Which object in this image belongs to the category Seats?\n",
      "340 ) which area does the object <somewhere,somesize> can be found in?\n",
      "341 ) What can be found in this place?\n",
      "342 ) What can be found in this place?\n",
      "343 ) Where does the place in this image can be found in?\n",
      "344 ) What is this place usually located?\n",
      "345 ) What is one item of kitchenware that can be seen here?\n",
      "346 ) Which object in this image belongs to the category Kitchenware?\n",
      "347 ) What object in this image belongs to the kitchenware?\n",
      "348 ) What do you call the Kitchenware on which the food is served? \n",
      "349 ) Which object in this image is often made for birthdays?\n",
      "350 ) Which food in this image is made for birthday?\n",
      "351 ) Which object in this image has four legs?\n",
      "352 ) Which object in this image has four legs?\n",
      "353 ) Which object in this image has a four leg?\n",
      "354 ) Which object in this image has four legs?\n",
      "355 ) which object in this image has four legs?\n",
      "356 ) Which object in this image has four legs?\n",
      "357 ) Which object in this image is a faithful pet?\n",
      "358 ) Which object in this image is a faithful pet?\n",
      "359 ) What  does the place shown in this image have as a part?\n",
      "360 ) What can be found in this place?\n",
      "361 ) Which object in this image is likely to be found in zoo?\n",
      "362 ) What are you likely to find in zoos?\n",
      "363 ) What can be found in this zoo?\n",
      "364 ) What can you find at this place?\n",
      "365 ) what is it in this image belongs to the category Team sports?\n",
      "366 ) Which object in this image is a cartilaginous fish?\n",
      "367 ) Which animal in this image is a Cartilaginous fish?\n",
      "368 ) Which object in this image is related to red?\n",
      "369 ) Which food in this image has a strong relationship with root vegetable\n",
      "370 ) Which object in this image belongs to root vegetables\n",
      "371 ) What is on the pizza?\n",
      "372 ) Which object in this image  has a cheese?\n",
      "373 ) What object in this image is used for shearing?\n",
      "374 ) Which animal in this picture can be found at a zoo?\n",
      "375 ) Which object in this image is made of paper?\n",
      "376 ) Which object shown in this photo is made of paper?\n",
      "377 ) Which object in this image has many pages?\n",
      "378 ) Where might one sleep here?\n",
      "379 ) What animal likes to eat the the root vegetable in the image?\n",
      "380 ) which object in this image is capable of watching TV?\n",
      "381 ) which object in this image is capable of watching TV?\n",
      "382 ) which object in this image is capable of ordering goods?\n",
      "383 ) Which object in this image belongs to the category Sports equipment?\n",
      "384 ) which object in this image is sold in the pastry shop\n",
      "385 ) Which object in this image is capable of travel on road?\n",
      "386 ) Which object in this image is capable of travelling on the road?\n",
      "387 ) which object in this image moves slower than a horse?\n",
      "388 ) what animal is faster than the animal in this image\n",
      "389 ) which object in this image is capable of paying a bill?\n",
      "390 ) which object in this image has a left ear?\n",
      "391 ) which object can be found in this place shown in this image\n",
      "392 ) Where are you likely to find a gift?\n",
      "393 ) Which object in this image is capable of studying archeology?\n",
      "394 ) which object in this image is capable of studying archeology?\n",
      "395 ) which object in this image is capable of studying archeology?\n",
      "396 ) What is the dog lying on in the image?\n",
      "397 ) What is the dog lying on in the image?\n",
      "398 ) What is the dog lying on in the image?\n",
      "399 ) What in this image is used for lie on?\n",
      "400 ) Which furniture in the image can I lie on? \n",
      "401 ) What is the dog liying on ?\n",
      "402 ) Which object in this image is used for sitting on?\n",
      "403 ) what kind of object in this image can we use for sitting down\n",
      "404 ) Which object in this image is used for sitting down?\n",
      "405 ) Which object in this image is used for sit down?\n",
      "406 ) Which object in this image is used for sit down？\n",
      "407 ) Which object in this image is used for sitting down?\n",
      "408 ) Which object in this image is related to wine?\n",
      "409 ) Which object in this image is used for drinking wine?\n",
      "410 ) what kind of object in this image can be found in African regions\n",
      "411 ) Which object in this image has a bone in their neck\n",
      "412 ) Which object in this image has a bone in their neck?\n",
      "413 ) Which animal in this image has bones in their long neck?\n",
      "414 ) Which object in this image can hold liquid?\n",
      "415 ) Which object in this image is a citrus?\n",
      "416 ) Which object in this image is a citrus?\n",
      "417 ) What kind of food is in this image?\n",
      "418 ) Which object in this table belongs to the category Food?\n",
      "419 ) Which oject belongs to the Food category?\n",
      "420 ) What sort of food can you see in this image?\n",
      "421 ) Which object in this image is Food?\n",
      "422 ) Which object in this image is Food?\n",
      "423 ) which object can be eaten?\n",
      "424 ) Which object in this image is a kind of Food?\n",
      "425 ) which object in this image is better than plain soda？\n",
      "426 ) Which object in this image is yellow?\n",
      "427 ) Which object in this image is yellow?\n",
      "428 ) Which object in this image is yellow?\n",
      "429 ) Name one of yellow-coloured fruit in the image.\n",
      "430 ) Which object in this image is yellow?\n",
      "431 ) Which object in this image is a two wheeled vehicle?\n",
      "432 ) How many wheels do these vehicle have?\n",
      "433 ) Which is safer than the action in this image?\n",
      "434 ) Which object in this image is related to water?\n",
      "435 ) Which objects in this image are related to water?\n",
      "436 ) Which object in this image is used for transportation?\n",
      "437 ) Which object in this image is used for transportation?\n",
      "438 ) Which object in this image belongs to the category Plants?\n",
      "439 ) Which object in this image belongs to the category Plants?\n",
      "440 ) What can be found in this place?\n",
      "441 ) Which music instrument can be found in this image?\n",
      "442 ) Which object in this image do people use when playing tennis?\n",
      "443 ) Which object in this image is used for playing tennis?\n",
      "444 ) What can we use the racket in the image for?\n",
      "445 ) Which object in this image is used for playing tennis?\n",
      "446 ) What is the large object in the right of this image used for?\n",
      "447 ) Is this office neat and tidy?\n",
      "448 ) What property does the place in this image have?\n",
      "449 ) Which object in this image can be used for Telecommunications?\n",
      "450 ) Which console in this image belongs to the category Video game?\n",
      "451 ) Which object in this image is a video game?\n",
      "452 ) Which object in this image can dare another to do something careless?\n",
      "453 ) Which object in this image is capable of eating animal?\n",
      "454 ) Which object in this image has branches?\n",
      "455 ) Which object in this image has branches?\n",
      "456 ) What is the place shown in the image used for\n",
      "457 ) What is the place in this image used for?\n",
      "458 ) What thing in this image might hiss?\n",
      "459 ) Which animal in this image is related to hiss?\n",
      "460 ) Which object in this image might be found in a reptile house?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "461 ) Which object in this image is capable of calculation?\n",
      "462 ) Which object in this image is often called man's best friend?\n",
      "463 ) Which object in this image has a palm?\n",
      "464 ) ￼Which object in this image is an arachnid?\n",
      "465 ) Which object in this image is a device to protect something placed beneath it?\n",
      "466 ) Which object in this image can be found in an hourglass?\n",
      "467 ) Which object in this image is used for protect people from sun and rain?\n",
      "468 ) Which object in this image is used for protect person from rain?\n",
      "469 ) Which object in this image is used to protect people from sun and rain\n",
      "470 ) What is the object on the right part of this image used for?\n",
      "471 ) Which object in this image is used to protect people from sun and rain?\n",
      "472 ) Which accessory in this image is used to protect person from sun and rain?\n",
      "473 ) What is the object the girl holding used to?\n",
      "474 ) In the image, what is used for protecting person from sun and rain?\n",
      "475 ) Which object in this image is used for shade?\n",
      "476 ) Which thing in this image can be found in your shoes?\n",
      "477 ) Which object in this image is related to desert?\n",
      "478 ) Which object in this image could also be related to deserts?\n",
      "479 ) Which object in this image is gritty?\n",
      "480 ) Which object in this image if food storage?\n",
      "481 ) What is lightening the room and place in this image?\n",
      "482 ) Which object is used for lighten rooms and places\n",
      "483 ) Which object in this image belongs to the category Land transport?\n",
      "484 ) Which object in this image gets hotter than a desktop?\n",
      "485 ) which object in this image often produces more heat than desktop when works\n",
      "486 ) Which object in this image is used for holding a drink?\n",
      "487 ) Which object in this image has a string\n",
      "488 ) Which instrument in this image has strings?\n",
      "489 ) Which object in this image has strings?\n",
      "490 ) What is the name of the music instrument in this image?\n",
      "491 ) Which object is gererating light in this image?\n",
      "492 ) Which objects in this image are used to generate light?\n",
      "493 ) Which object in this image is used for generating light?\n",
      "494 ) Which object in this image contains wine?\n",
      "495 ) Which object in this image is a computer?\n",
      "496 ) Which object in this image is a kind of computer?\n",
      "497 ) What is the instrument in the middle used for?\n",
      "498 ) Which object in this image is being played?\n",
      "499 ) Which ball sport is shown in this image?\n",
      "500 ) what kind of ball sport is this in this image\n",
      "501 ) What ball sport is being played in this image?\n",
      "502 ) Which thing in this image is a ball sport?\n",
      "503 ) Which object in this image has four legs?\n",
      "504 ) Which object in this image has a four legs?\n",
      "505 ) Which object in this image has the property of fat\n",
      "506 ) Which object in this image is related to Glass?\n",
      "507 ) which objects in the images contain the category Glass\n",
      "508 ) What mammal is in this image?\n",
      "509 ) ￼Which object in this image is round?\n",
      "510 ) What is the round object in this image?\n",
      "511 ) Which object in this image is round?\n",
      "512 ) Which object in the image is round\n",
      "513 ) Which object in the image is round\n",
      "514 ) Which object in this image might be found in a sporting goods store?\n",
      "515 ) Which object in the image makes a sound of woof woof?\n",
      "516 ) Which object in this image one can eat with?\n",
      "517 ) Which object in this image is used to eat with?\n",
      "518 ) IN this images, which action is less important than the action shown?\n",
      "519 ) In this image, which action is less significant than the action shown?\n",
      "520 ) Which food in this images is round and has a whole in it?\n",
      "521 ) which object in this image is a form of land transportation?\n",
      "522 ) which object in this image can be as a means of road transportation?\n",
      "523 ) Which object in the image is considered a loyal pet?\n",
      "524 ) What has worse hearing than the large object in the center of the image?\n",
      "525 ) which object in this image is less skittish than cat?\n",
      "526 ) What animal in the image is bigger than cat?\n",
      "527 ) Which animal is usually bigger than the other?\n",
      "528 ) which object in this image is driven by a motorcyclist?\n",
      "529 ) which object in this image is a vehicle?\n",
      "530 ) What type of vehicle is shown here?\n",
      "531 ) Which kind of vehicle is in this image?\n",
      "532 ) Which object in this image is used to listen to the body?\n",
      "533 ) Which object in this image is a listening instrument?\n",
      "534 ) What property does the place in this image have?\n",
      "535 ) Which object in this image is used to listen to your heart?\n",
      "536 ) How many wings does the animal in the image has?\n",
      "537 ) Tell me the name of the insect shown in this image\n",
      "538 ) What is happened here?\n",
      "539 ) Whether this vehicle is cheaper or more expensive than plane? \n",
      "540 ) Which object will you use when you want to sit?\n",
      "541 ) Which object in this image is used for sitting in?\n",
      "542 ) Which object in this image is used for sitting in?\n",
      "543 ) What is the base of this pizza?\n",
      "544 ) What is base of this pizza?\n",
      "545 ) Which thing in this image is found in sea water?\n",
      "546 ) Where can people find a dining table\n",
      "547 ) Which creature in this picture is more primitive than humans?\n",
      "548 ) Which object in this image is more primitive than human beings?\n",
      "549 ) Which object in this image is capable of lowering its landing gear?\n",
      "550 ) What is the place in this image used for?\n",
      "551 ) What is the place in this image used for?\n",
      "552 ) Which object in this image has a landing gear?\n",
      "553 ) Which thing in this image has seeds?\n",
      "554 ) Which thing in this image is edible?\n",
      "555 ) What can usually be found in this place?\n",
      "556 ) What can be found in this place?\n",
      "557 ) what can we find in the place described in this image\n",
      "558 ) What is the place in this image used for?\n",
      "559 ) What do people use the place in this image for?\n",
      "560 ) what kind of scene is shown in the image?\n",
      "561 ) Which object in this image is used for flying?\n",
      "562 ) What is the large object in the bottom of this image used for?\n",
      "563 ) What is the object that the picture is take from used for?\n",
      "564 ) Which object in this image is used for flying?\n",
      "565 ) Which object in this image is used for transporting people?\n",
      "566 ) Which object in this image is related to locomotive?\n",
      "567 ) Which object can be called as a iron horse?\n",
      "568 ) Which thing in this image can be used to protect one's head\n",
      "569 ) Which thing in the image can be used for storing cloths?\n",
      "570 ) What can these people do with the object they're focused on?\n",
      "571 ) What thing in the image has two headlights?\n",
      "572 ) Which vehicle in this image has two headlights\n",
      "573 ) What equipment in the image has a physical impact buffer?\n",
      "574 ) What types of music does this instrument used to play?\n",
      "575 ) what object in this image is an enemy of dogs?\n",
      "576 ) Which object in this image is able to prevent head injuries\n",
      "577 ) What thing in this photo can protect a head from impact\n",
      "578 ) Which object in this image is capable of preventing head injury?\n",
      "579 ) Which object in this image is capable of preventing head injury?\n",
      "580 ) Which object in this image can be used to protect your head\n",
      "581 ) ￼Which object in this image is used for protecting one's head?\n",
      "582 ) Which object in this image is used to protect your head?\n",
      "583 ) What object in this image is used to protect your head?\n",
      "584 ) Which object in this image is used to protect the head?\n",
      "585 ) Which object is used to protect your head in this image\n",
      "586 ) Which object in this image is used for moving across water?\n",
      "587 ) Which object in this image is a bouyant?\n",
      "588 ) Which object in this image is a kind of cuisine?\n",
      "589 ) Which fruit in this image is most similar to mandarin?\n",
      "590 ) Which fruit is related to oranges?\n",
      "591 ) What is the round and orange object in the image?\n",
      "592 ) Can you describe the ball in the image?\n",
      "593 ) Which object in this image is a piece of sport equipment?\n",
      "594 ) What is the place in this image used for?\n",
      "595 ) Which object in this image is a sport you play?\n",
      "596 ) which object in this image is capable of using a pen to write words?\n",
      "597 ) which object in this image can eat breakfast?\n",
      "598 ) What object in this image can be found in a garden?\n",
      "599 ) which object in this image is faster than traffic?\n",
      "600 ) What herd animal is in this image?\n",
      "601 ) Which animal in this image is a herd animal?\n",
      "602 ) what object in this image is a subclass of herd animal?\n",
      "603 ) What herd animal is shown here?\n",
      "604 ) Which object in this image is capable of mining data?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "605 ) Which object in this image is a part of monitor cpu box keyboard and mouse?\n",
      "606 ) What fruit in this image is used for health?\n",
      "607 ) Which object in this image belongs to vehicle?\n",
      "608 ) Which object in this image is a vehicle?\n",
      "609 ) Which object in this image is a vehicle?\n",
      "610 ) Which object in this image is a vehicle?\n",
      "611 ) which object in this image do we need to pay more for than bus \n",
      "612 ) which object in this image is faster than shuttle bus?\n",
      "613 ) which object in this image is faster than shuttle bus?\n",
      "614 ) Which object in this image uses tracks?\n",
      "615 ) What is the hot food or drink item in this image?\n",
      "616 ) Which object in this image is a hot food or drink?\n",
      "617 ) Which object in this image is a kind of Pets?\n",
      "618 ) What pet is in this image?\n",
      "619 ) Which object in this image is important to fire fighters?\n",
      "620 ) Which object in this image is important to fire fighters?\n",
      "621 ) Which object in this image is important to fire fighters?\n",
      "622 ) Which object in this image is related to fire engine?\n",
      "623 ) Which object in this image is related to fire engine?\n",
      "624 ) Which object in this image is capable of grazing?\n",
      "625 ) Which animal in this image can build nest?\n",
      "626 ) Which animal in this image can build nest?\n",
      "627 ) Which animal in this image can build nest?\n",
      "628 ) Which animal in this image can build nest?\n",
      "629 ) Which animal in this image can build nest?\n",
      "630 ) Which animal in this image can build nest?\n",
      "631 ) Which animal in this image can build nest?\n",
      "632 ) Which animal in this image can build nest?\n",
      "633 ) Which animal in this image can build nest?\n",
      "634 ) Which animal in this image can build nest?\n",
      "635 ) Which animal in this image can build nest?\n",
      "636 ) Which animal in this image can build nest?\n",
      "637 ) Which animal in this image can build nest?\n",
      "638 ) Which animal in this image can build nest?\n",
      "639 ) Which animal in this image can build nest?\n",
      "640 ) Which animal in this image can build nest?\n",
      "641 ) Which animal in this image can build nest?\n",
      "642 ) Which animal in this image can build nest?\n",
      "643 ) Which animal in this image can build nest?\n",
      "644 ) Which animal in this image can build nest?\n",
      "645 ) Which animal in this image can build nest?\n",
      "646 ) Which animal in this image can build nest?\n",
      "647 ) Which animal in this image can build nest?\n",
      "648 ) Which object in this image is generally smaller than lake?\n",
      "649 ) What can be found in this place?\n",
      "650 ) What can be found in this place?\n",
      "651 ) Who are humans in this image?\n",
      "652 ) Which object in this image belongs to the category Human?\n",
      "653 ) What in this image belongs to the category Human?\n",
      "654 ) Those who play with the objects in the image belong to what species?\n",
      "655 ) which object in this picture comes from the category of human\n",
      "656 ) Which object in this image has a string\n",
      "657 ) Which object in this image has strings?\n",
      "658 ) Which object in this image has strings?\n",
      "659 ) What is the place in this image used for?\n",
      "660 ) what's in the middle of this image?\n",
      "661 ) Which object in this image is used to display image?\n",
      "662 ) Which object in this image can display images?\n",
      "663 ) Which object in this image is capable of displaying images?\n",
      "664 ) What device can display images?\n",
      "665 ) Which digital object in this image is capable of display image?\n",
      "666 ) Which object in this image is capable of displaying images?\n",
      "667 ) what's shown in the top of the image\n",
      "668 ) What can you expect to find in a place like this?\n",
      "669 ) What can be found in this room?\n",
      "670 ) What object in this image used for the toilet?\n",
      "671 ) Which thing in the image has a seat?\n",
      "672 ) Which fruit in the image is round?\n",
      "673 ) What is the place?\n",
      "674 ) Where can the object in the centre of this image be found?\n",
      "675 ) What is the place in this image?\n",
      "676 ) Which tool can you see is used to turn screws\n",
      "677 ) Which tool demonstrated can be used by a man to turn screws\n",
      "678 ) Which tool will you choose to pull out screws?\n",
      "679 ) If I want to pull out screws, which tool can I use?\n",
      "680 ) Which fruit in this image is juicy\n",
      "681 ) Which object in this image has the property of juicy?\n",
      "682 ) Which food is the most related to lemon\n",
      "683 ) Which one in the image belongs to the Tropical fruit?\n",
      "684 ) Which object in this image can be found in the child's hand?\n",
      "685 ) What can you find in the sand by the ocean?\n",
      "686 ) What animal in the image can rest standing up?\n",
      "687 ) Which object in this image is related to grasscutting?\n",
      "688 ) Which object in this image is a wheel box use to transport things?\n",
      "689 ) Which object in this image could pull a buggy to a picnic?\n",
      "690 ) Which object in this image is related to rain?\n",
      "691 ) which object in this image can we find to be related to surf\n",
      "692 ) Which object in this image is related to surf?\n",
      "693 ) Which object in this image used to surf?\n",
      "694 ) Which object in this image has trucks?\n",
      "695 ) What is the place in this image used for?\n",
      "696 ) which object in this image can die of prostate cancer?\n",
      "697 ) which object in this image is capable of using weights when doing aerobics?\n",
      "698 ) What mollusc is in this image?\n",
      "699 ) What object in this image is a type of mollusc?\n",
      "700 ) Which object in this image has no legs?\n",
      "701 ) Does the animal in the image has legs?\n",
      "702 ) Which object in this image is a animal?\n",
      "703 ) what does the object in the right has as a part\n",
      "704 ) What does the object in the right of this image have as a part?\n",
      "705 ) What is special of the animal in the image?\n",
      "706 ) Which object in this image has a shell?\n",
      "707 ) Which animal in this image has a shell?\n",
      "708 ) which object in this image is capable of borrowing a book?\n",
      "709 ) which object in this image is capable of reading a book?\n",
      "710 ) which object in this picture can read\n",
      "711 ) What object in this image is found in a shell?\n",
      "712 ) Which object in this image can be played by an accordionist?\n",
      "713 ) What do we call the fast food in the image?\n",
      "714 ) Which object in this image belongs to the category Fast food?\n",
      "715 ) What object in this image is used for playing music?\n",
      "716 ) Which object in this image is used for playing music?\n",
      "717 ) Which object in this image is used for play music?\n",
      "718 ) What thing in the image can be driven?\n",
      "719 ) What the sign in the image for?\n",
      "720 ) Which other object than the traffic light is used to control the traffic? \n",
      "721 ) Which object in this image is used to control traffic\n",
      "722 ) What water vehicle is depicted here?\n",
      "723 ) what object in this image will you find on the water?\n",
      "724 ) Which activity shown here is related to surfing?\n",
      "725 ) What can you feel in this weather?\n",
      "726 ) Which thing in the image stops the car?\n",
      "727 ) which object in this image can stop cars\n",
      "728 ) Which object in this image can stop cars?\n",
      "729 ) Which object in this image can stop a car?\n",
      "730 ) What does the light means here?\n",
      "731 ) Which object in this image is able to stop cars\n",
      "732 ) Which object in this image can stop cars?\n",
      "733 ) Can you find this snake in a city or desert?\n",
      "734 ) What is the device in the image used for>\n",
      "735 ) Which object in this image is related to goat?\n",
      "736 ) Which animal in this image is related to lambskin?\n",
      "737 ) Which object in this image is related to  cream?\n",
      "738 ) what is it in this image is related to shedhand?\n",
      "739 ) Which object in this image has the property of use to contain liquid?\n",
      "740 ) Which object in this image contains liquid?\n",
      "741 ) Which object in this image can print books?\n",
      "742 ) Which object in this image is related to mouse?\n",
      "743 ) Which object in this image can be used to write email?\n",
      "744 ) What in this image could be used for writing email?\n",
      "745 ) which object in this image is normally more expensive than desktop computer?\n",
      "746 ) Which thing is made from fermented grape juice?\n",
      "747 ) normally where can you find this game?\n",
      "748 ) What object in this image is used at a park?\n",
      "749 ) Which object in this image is grown in hawaii\n",
      "750 ) Which object is a sign of welcome in hawaii\n",
      "751 ) Which object in this image belongs to the category of tropical flora\n",
      "752 ) Which object in this image is related to hawaiian symbol\n",
      "753 ) Which thing in the image is the hawaiian symbol?\n",
      "754 ) Which food in this image can only grow in tropical or sub-tropical regions\n",
      "755 ) What object in this image grows in tropical or sub tropical regions?\n",
      "756 ) Which fruit in this image is spiky \n",
      "757 ) What thing in the image can fly?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "758 ) Which object in this image can fly?\n",
      "759 ) Which object in this image can fly?\n",
      "760 ) What is the difference between the instrument and the violin?\n",
      "761 ) What is the difference between the instrument and the violin?\n",
      "762 ) Which object in this image belongs to the category Fruit?\n",
      "763 ) Which object in this image belongs to the category Fruit?\n",
      "764 ) Which object in this image belongs to the category Fruit?\n",
      "765 ) Which sort of food is in this image?\n",
      "766 ) Which sort of fruit can you see in this image?\n",
      "767 ) What fruit is shown in this image?\n",
      "768 ) Which object in this image contains wiener?\n",
      "769 ) Which small people in this image belong to the category Humans?\n",
      "770 ) Which object in this image belongs to the category Humans?\n",
      "771 ) How do you define the two humans in this image?\n",
      "772 ) What can likely be found in the image?\n",
      "773 ) what's in the middle of this image?\n",
      "774 ) Which object in this image is a kind of office table?\n",
      "775 ) which object in this image often is played outside\n",
      "776 ) What sport are the children playing?\n",
      "777 ) Which object in this image should be played outside?\n",
      "778 ) Which object in this image should be played outside?\n",
      "779 ) Which round object on the right in this image belongs to the category Furniture?\n",
      "780 ) Which object in this image can be classified into Fuiniture?\n",
      "781 ) Which round object in the center of this image belongs to the category Furniture?\n",
      "782 ) Where can the place in this image be found at?\n",
      "783 ) Which object in this image is a dental tool?\n",
      "784 ) Which object in this image has pedals?\n",
      "785 ) Which object in this image is a live thing?\n",
      "786 ) which object in this image is related to baggage?\n",
      "787 ) which object in this image is related to baggage?\n",
      "788 ) What is the place in this image used for?\n",
      "789 ) What is the place in this image used for?\n",
      "790 ) Which object in this image is an amphibian animal?\n",
      "791 ) Which object in this image can be found in a pond?\n",
      "792 ) Which object in this image is capable of jumping?\n",
      "793 ) Which object in this image usually lives near water?\n",
      "794 ) Which object in this image is an animal?\n",
      "795 ) What is the object in the lower right of this image used for?\n",
      "796 ) What object in this image is used for travelling?\n",
      "797 ) Which object in this image is related to tadpoles?\n",
      "798 ) Which object in this image is related to croak?\n",
      "799 ) What object in this image is capable of flying?\n",
      "800 ) Which object in this image can fly?\n",
      "801 ) Tell me the thing in this image that can fly\n",
      "802 ) Which objects can fly in this image?\n",
      "803 ) What job is the dog doing here?\n",
      "804 ) What is the dog in the image capable of?\n",
      "805 ) Which object in this image is a red octagon?\n",
      "806 ) Which object in this image is a red octagon?\n",
      "807 ) Which object in this image is a red octagon?\n",
      "808 ) Which object in this image is a red octagon?\n",
      "809 ) Which object in this image contains written knowledge?\n",
      "810 ) Which object in this image usually contains text?\n",
      "811 ) Which object in this image has software?\n",
      "812 ) Which object in this image can be used to send email?\n",
      "813 ) Which object in this image can be used to send email\n",
      "814 ) Which object in this image has a drawer?\n",
      "815 ) Which object in this image has drawers?\n",
      "816 ) Which object in this image might be used to touch type?\n",
      "817 ) Which object in this image can be used to point and click?\n",
      "818 ) Which fast animal can you see in this image?\n",
      "819 ) Which fast animal is shown in this image ?\n",
      "820 ) What object can be used to type letter?\n",
      "821 ) Which object in this image is used for type letter?\n",
      "822 ) What is less common than the thing on the left side of this image?\n",
      "823 ) Which object in this image has a wheel?\n",
      "824 ) Which object in this image has wheels?\n",
      "825 ) Which sport object in this image has wheels?\n",
      "826 ) Which object in this image has a spikey top\n",
      "827 ) What fruit in this image has spikey top?\n",
      "828 ) Which object in this image is spherical?\n",
      "829 ) Which object in this image is spherical?\n",
      "830 ) Which object in this image is spherical?\n",
      "831 ) which object in this image can you find in a food truck\n",
      "832 ) Which object in this image is used for carrying things?\n",
      "833 ) What object is related to bagage in this image?\n",
      "834 ) Which object in this image usually  costs less than flight?\n",
      "835 ) what thing is expensive than the object shown in the middle of this image?\n",
      "836 ) which object in this image is cheaper than plane?\n",
      "837 ) What can be found in this office?\n",
      "838 ) What can be found at an office computer?\n",
      "839 ) Which object in this image is a modify table for work?\n",
      "840 ) What object in this image is an edible fruit?\n",
      "841 ) Which edible fruit is seen here?\n",
      "842 ) Which object in this image is an edible fruit?\n",
      "843 ) What item of kitchenware is in this image?\n",
      "844 ) Which object in this image belongs to the category Toy?\n",
      "845 ) Which object in this image belongs to the category Toy?\n",
      "846 ) Which object in this image is related to boomerang?\n",
      "847 ) Which object in this image is related to style?\n",
      "848 ) Which object in this image is related to lawsuit?\n",
      "849 ) Which object in this image has a emotional state\n",
      "850 ) What is the flat disc in this image called?\n",
      "851 ) Which object in this image is a flat disc?\n",
      "852 ) Who in this image can enjoy food?\n",
      "853 ) ￼Which object in this image is a mammal?\n",
      "854 ) Which object in this image is alive?\n",
      "855 ) Which object in this image has seatbelts in it?\n",
      "856 ) Which object in this image has a seatbelt in it?\n",
      "857 ) Which object in this image can be used for melody?\n",
      "858 ) What can be found in this office?\n",
      "859 ) What can be found in this table?\n",
      "860 ) Which fruit on the left in this image is yellow?\n",
      "861 ) Which object in this image is a yellow fruit?\n",
      "862 ) What yellow fruit is in this image?\n",
      "863 ) What is the yellow fruit on the top?\n",
      "864 ) Which object in this image is a yellow fruit?\n",
      "865 ) Which object in this image often carries a suitcase when travelling?\n",
      "866 ) What types of Ball games is played in this image?\n",
      "867 ) What ball game are people playing?\n",
      "868 ) What kind of action in Summer Olympic sports is depicted in this image\n",
      "869 ) Which Summer Olympic sports is shown in this image?\n",
      "870 ) Which object on the right of this image is can sit a person?\n",
      "871 ) Which object on the right of this image is can sit a person?\n",
      "872 ) Which object on the right of this image is can sit a person?\n",
      "873 ) Which object in this image belongs to the category Competitive games?\n",
      "874 ) What is the sport that belongs to competitive games?\n",
      "875 ) What activity in the image is often considered a competitive game?\n",
      "876 ) Which object in this image is capable of keeping doctor away?\n",
      "877 ) What object in this image is used for keeping the doctor away?\n",
      "878 ) which object in this image is capable of purchasing an item with cash?\n",
      "879 ) Which object in this image belongs to the category Electric vehicles?\n",
      "880 ) Which object in this image is used for eat?\n",
      "881 ) which object in this image can be eaten?\n",
      "882 ) which object in this image can be eaten?\n",
      "883 ) Which object in this image is used as food?\n",
      "884 ) what object in this image is used for eating?\n",
      "885 ) Which object in this image is used for eat?\n",
      "886 ) Which object in this image belongs to the category Animal-powered vehicles?\n",
      "887 ) Which object in this image is a kind of Animal-powered vehicles?\n",
      "888 ) What is the green vegetable on the plate?\n",
      "889 ) Which object in this image is green?\n",
      "890 ) Which object in this image is green?\n",
      "891 ) Which object in this image is green?\n",
      "892 ) Which object in this image is green?\n",
      "893 ) Which object in this image is green?\n",
      "894 ) What is the green vegetable shown in this image?\n",
      "895 ) Which object in this image might be related to a litter tray?\n",
      "896 ) Which object here is a curious animal?\n",
      "897 ) What is the curious animal?\n",
      "898 ) Which object in this image belongs to the category Herbivorous animals?\n",
      "899 ) Which animal has very high blood pressure?\n",
      "900 ) Which animal in this image has extremely high blood pressure\n",
      "901 ) Whether the animal in the image has high or low blood pressure?\n",
      "902 ) Which object in this image has a extremely high blood pressure?\n",
      "903 ) Which object in this image is hollow?\n",
      "904 ) Which round object that you cannot see in this image has the property of hollow?\n",
      "905 ) What in this image has a collar?\n",
      "906 ) Which object in this image is related to lip?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "907 ) If you want to pound in nails, which tool you will choose from this image?\n",
      "908 ) Which tool in this image is used for pounding in nails\n",
      "909 ) Which thing is used for playing music?\n",
      "910 ) ￼Which object in this image is used for playing music?\n",
      "911 ) What is the crustacean animal in the image?\n",
      "912 ) Which object in this image is a mammal?\n",
      "913 ) Which object in this image is a mammal?\n",
      "914 ) Which object in this image is native to Africa?\n",
      "915 ) Which object in this image is native to africa?\n",
      "916 ) What object in this image is native to Africa?\n",
      "917 ) Which object in this image is native to africa?\n",
      "918 ) which object in this image is a type of feline?\n",
      "919 ) which object in this image has sharp claws?\n",
      "920 ) which device in this image is less efficient than desktop?\n",
      "921 ) Which object in this image can be ridden?\n",
      "922 ) Which object in this image can you ride on?\n",
      "923 ) What object in the image is used for riding?\n",
      "924 ) Which object in this image is created by tying a certain knot?\n",
      "925 ) which object in this image is used to keep rain or sun off a person?\n",
      "926 ) which animal in this image is bigger than ant?\n",
      "927 ) Which object in this image is a hair style product?\n",
      "928 ) Which object in this image is a hair style product?\n",
      "929 ) What is likely to be found in this place?\n",
      "930 ) Which object in this image is for exercise?\n",
      "931 ) Which object does the girl use for exercise?\n",
      "932 ) Which object does the girl use for exercise?\n",
      "933 ) Which object does the girl use for exercise?\n",
      "934 ) What activity in the image is a popular sport?\n",
      "935 ) Which popular sport can you see in this image?\n",
      "936 ) Which object in this image is a use when it rain?\n",
      "937 ) Which object in this image is used when it rains?\n",
      "938 ) Which animal in this image is capable of staying inside house?\n",
      "939 ) Which object in this image is a kind of seat?\n",
      "940 ) Which object in this image usually appears in symphony?\n",
      "941 ) which object in this image can be used for serving or dining\n",
      "942 ) What's one thing in this image belonging to the category of Serving and dining?\n",
      "943 ) What in this image can be used to creat art?\n",
      "944 ) Which object is oval shaped?\n",
      "945 ) Which object has oval shape\n",
      "946 ) Which object in this image is oval shaped?\n",
      "947 ) Which object in this image is oval shaped?\n",
      "948 ) Which object in this image eats fish?\n",
      "949 ) Which action is less strenuous than the action shown in this image\n",
      "950 ) Which action is less strenuous than the action shown in this image?\n",
      "951 ) Which action is less strenuous than the action shown in this image\n",
      "952 ) Which object in this image belongs to the category Computer hardware?\n",
      "953 ) What object can be used for anxiety disorder treatment\n",
      "954 ) What can the place in the image be used for?\n",
      "955 ) Which object in this image might be found at the beach?\n",
      "956 ) what object in this image can be found at a beach?\n",
      "957 ) Which object in this image is a type of furniture for sitting?\n",
      "958 ) Which place in the image are used for sitting?\n",
      "959 ) What instrument in this image is often used in classic music?\n",
      "960 ) What in this image is often used in classic music?\n",
      "961 ) Which object in this image is a kind of Home appliances?\n",
      "962 ) Which object in the image  is an electronic toy?\n",
      "963 ) What is the weather in the image?\n",
      "964 ) what can we find on the desk\n",
      "965 ) Which object in this image is used for travelling?\n",
      "966 ) Which bag is more comfortable than a shoulder bag?\n",
      "967 ) Which object in this image can be found in any ocean?\n",
      "968 ) What in the image is an example of a large gray mammal?\n",
      "969 ) What is the large gray mammal shown in this image ?\n",
      "970 ) What large grey animal is in this image?\n",
      "971 ) Which object in this image is faster than men?\n",
      "972 ) which object in this image can you use to go horseriding?\n",
      "973 ) What object has seats in them?\n",
      "974 ) What absorbs less solar heat than the place shown in the image\n",
      "975 ) What mode of transport seen in this image is more common than rail?\n",
      "976 ) which object in this image is more common than rail?\n",
      "977 ) What is the object in this image that is related to vehicles?\n",
      "978 ) Which object in this image has a keyboard like a piano?\n",
      "979 ) Which object in this image has a keyboard like a piano?\n",
      "980 ) Which object in this image is used for polka music?\n",
      "981 ) What is the object in the centre of this image used for?\n",
      "982 ) Which object in this image is used for creating music?\n",
      "983 ) Which object in this image is related to flutterby?\n",
      "984 ) What animal in the image is typically smaller than a bird?\n",
      "985 ) Which object in this image is insect?\n",
      "986 ) Which object in this image is able to fly?\n",
      "987 ) Which object in this image can fly?\n",
      "988 ) what in this image belongs to the category Therapsida?\n",
      "989 ) what in this image belongs to the category Therapsida?\n",
      "990 ) which animal in this image is slower than dinosaur?\n",
      "991 ) Which object in this image is related to mammoths?\n",
      "992 ) Which object in this image is a woodwind instrument?\n",
      "993 ) Which object in this image is related to purple emperor?\n",
      "994 ) What object in this image might have a spare tire?\n",
      "995 ) What object in this image is capable of browsing the internet?\n",
      "996 ) What is the vehicle in the image powered by?\n",
      "997 ) Which thing in this image has a crust?\n",
      "998 ) Which object in this image has a crust?\n",
      "999 ) Which object in this image has a crust\n",
      "1000 ) Which dish in this image has a crust?\n",
      "1001 ) What category do bananas belong to\n",
      "1002 ) What fruit is in the image?\n",
      "1003 ) What is the name of the sports equipment in this image?\n",
      "1004 ) What rain protection tool is used in the image?\n",
      "1005 ) Which object in this image is a kind of rain protection?\n",
      "1006 ) What object in this image can transport multiple people at once?\n",
      "1007 ) Which object in this image is capable of transporting many people at once?\n",
      "1008 ) Which instrument is black?\n",
      "1009 ) Which thing in this image you can used to make popcorn?\n",
      "1010 ) Which thing in this image you can used to make popcorn?\n",
      "1011 ) Which object in this image has a frame?\n",
      "1012 ) which object in this image is a small red fruit?\n",
      "1013 ) Which small red fruit is show in this image?\n",
      "1014 ) What is the small red fruit in the image?\n",
      "1015 ) Which object in this image is a kind of small red fruit?\n",
      "1016 ) Which object in this image is a small red fruit?\n",
      "1017 ) What is the small red fruit?\n",
      "1018 ) Which object in this image is a small red fruit?\n",
      "1019 ) Which object in this image is capable of being peeled?\n",
      "1020 ) Which object in this image is peelable?\n",
      "1021 ) Which object in this image can be related to candy apples?\n",
      "1022 ) Which object in this image belongs to the category Video game console?\n",
      "1023 ) Which kind of video game console is the boy playing with?\n",
      "1024 ) Which object in this image is a video game console?\n",
      "1025 ) What object is an instance of a living thing?\n",
      "1026 ) Can you identify any object in the image that is used for playing?\n",
      "1027 ) What in this image is used for play?\n",
      "1028 ) Which object in this image can grow?\n",
      "1029 ) What plant in this image can continue to grow?\n",
      "1030 ) Which object in this image is capable of smelling food?\n",
      "1031 ) Which boardsport is presented in this image?\n",
      "1032 ) Which boardsport is presented in this image?\n",
      "1033 ) what sports in the image is a boardsports\n",
      "1034 ) Which object in this image is used for fun?\n",
      "1035 ) what thing in this picture has eyes\n",
      "1036 ) What object in the image has eyes?\n",
      "1037 ) Which object in this image has eyes?\n",
      "1038 ) Which object in this image has a eye\n",
      "1039 ) Which object in this image belongs to the category Animals?\n",
      "1040 ) what kind of animal can you find in this image\n",
      "1041 ) What animal is in this image?\n",
      "1042 ) Which animals in this image have black and white stripes?\n",
      "1043 ) Which object in this image has black and white stripes?\n",
      "1044 ) Which animal in the front of the image has black and white stripes?\n",
      "1045 ) Which object in this image has a interleaved black and white stripe？\n",
      "1046 ) Which object in this image has a black and white stripe\n",
      "1047 ) Which object in this image can be found in an orchestra?\n",
      "1048 ) Which object in this image can be found in orchestra?\n",
      "1049 ) Which object in this image is like a big violin?\n",
      "1050 ) Which object in this image is like a big violin?\n",
      "1051 ) Which object in this image is a string instrument?\n",
      "1052 ) Which object in this image is a common instrument in jazz?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1053 ) which object in this images shows muscle in their body\n",
      "1054 ) which object in this image has muscles in their body?\n",
      "1055 ) Which object in this image is related to formic acid?\n",
      "1056 ) Which object in this image is heavier than a horse ?\n",
      "1057 ) Which object in this image can be used for sleep?\n",
      "1058 ) Which object in this image is related to sleep\n",
      "1059 ) Which object in this image is related to river horse?\n",
      "1060 ) What can be found on the surface of the earth?\n",
      "1061 ) What surface in the image difficult to walk in?\n",
      "1062 ) What which you can see here is difficult to walk in?\n",
      "1063 ) What in this image has peel?\n",
      "1064 ) Which fruit in this image has a peel?\n",
      "1065 ) what kind of fruit can you observe in this image\n",
      "1066 ) Which object in this image is a fruit?\n",
      "1067 ) which object in this image may be dangerous to human\n",
      "1068 ) Which object in this image likes to graze in pasture?\n",
      "1069 ) Which object in this image is capable of shade you from sun?\n",
      "1070 ) Which kind of farm animal is shown in this image ?\n",
      "1071 ) which object in this image is a farm animal?\n",
      "1072 ) Where can you see zebras ?\n",
      "1073 ) which object in this image can we used for eating soup\n",
      "1074 ) What can be found in this place?\n",
      "1075 ) Which object in this image is considered to belong to the category European cuisine?\n",
      "1076 ) What object in this image is created by a coin mint?\n",
      "1077 ) Which animal in the image is highly related to Islamism?\n",
      "1078 ) What is the horse being used for here?\n",
      "1079 ) What green vegetable is in this picture?\n",
      "1080 ) What is the green vegetable in the bowl?\n",
      "1081 ) Which object in this image is a green vegetable?\n",
      "1082 ) Which object in this image is a green vegetable\n",
      "1083 ) Which object in this image is a green vegetable?\n",
      "1084 ) which object in this image is a green vegetable?\n",
      "1085 ) Where you can find the animal in this image?\n",
      "1086 ) Where can the animal in this image been found?\n",
      "1087 ) Which object in this image can be found in the desert?\n",
      "1088 ) What is this place used for?\n",
      "1089 ) Which object in this image is related to long?\n",
      "1090 ) What could be the machine in the image used for?\n",
      "1091 ) what object in this image is furry?\n",
      "1092 ) Which animal in this image is able to store nuts\n",
      "1093 ) Which animal is capable of storing nuts for the winter\n",
      "1094 ) Which animal in this image can be found in a forest\n",
      "1095 ) Which object is related to get wet in this image?\n",
      "1096 ) What object in this image is related to a clock?\n",
      "1097 ) Which object in this image is related to watch?\n",
      "1098 ) what kind of object in this image can you always find in a village\n",
      "1099 ) Which object in this image belongs to the category Safety?\n",
      "1100 ) Which object in this image is a type of food?\n",
      "1101 ) Which object in this image is a type of food?\n",
      "1102 ) Which object in this image is a type of food?\n",
      "1103 ) Which object in this image is a type of food?\n",
      "1104 ) Which object in this image is a type of food?\n",
      "1105 ) Which object in this image is a type of food?\n",
      "1106 ) Which object in this image is used for eating?\n",
      "1107 ) Which object in this image belongs to the category American inventions?\n",
      "1108 ) Which object in this image is a kind of pastry?\n",
      "1109 ) which object in this image can you see often see in office\n",
      "1110 ) What can be found in this place?\n",
      "1111 ) what can we find on the desk\n",
      "1112 ) What can be found in this room?\n",
      "1113 ) What electronic devices can be found in this office?\n",
      "1114 ) which object in this image can have a mental illness?\n",
      "1115 ) which object in this image can hold their breath?\n",
      "1116 ) Which object in this image is used for keep animal in pound?\n",
      "1117 ) Which object in this image is used for keep animal in pound?\n",
      "1118 ) Which object in this image is used for catching and throwing?\n",
      "1119 ) Which object in this image is used for catch and throw back?\n",
      "1120 ) Which object in this image is related to boomerang?\n",
      "1121 ) Which object in this image is an aerodynamic toy disc?\n",
      "1122 ) Which object in this image is an aerodynamic toy disc?\n",
      "1123 ) Which object in this image is a aerodynamic toy disc?\n",
      "1124 ) What vehicle is shown in this image?\n",
      "1125 ) What object in this image is used for food?\n",
      "1126 ) Which object in this image is capable of weight 1000 kilo?\n",
      "1127 ) Which animal can weight 1000 kilos\n",
      "1128 ) Which citrus fruit can you see in this image?\n",
      "1129 ) What can be found in the city?\n",
      "1130 ) What property does the place in this image have?\n",
      "1131 ) Which object in this image ticks?\n",
      "1132 ) Which object in this image can make light?\n",
      "1133 ) which object in this image is less energetic than x ray?\n",
      "1134 ) which object in this image is capable of reading magazines?\n",
      "1135 ) which object in this image can plan a party?\n",
      "1136 ) which object in this image can offer money to charity?\n",
      "1137 ) which object in this image is capable of walking?\n",
      "1138 ) which object in this image is capable of listening to sounds?\n",
      "1139 ) what object in this image is capable of buying a wig?\n",
      "1140 ) what object in this image has two ears?\n",
      "1141 ) which object in this image has two ears?\n",
      "1142 ) what object in this image is capable of wearing clothes in public?\n",
      "1143 ) what object in this image can lie in bed?\n",
      "1144 ) which object in this image is slower than car?\n",
      "1145 ) Which vehicle is faster than the object on the right of this image?\n",
      "1146 ) Which floating vehicle on the left is smaller than a ship?\n",
      "1147 ) Name the object used for transportation which is smaller than ship.\n",
      "1148 ) Which object in this image is related to phillips head?\n",
      "1149 ) Which object in this image is used for inserting screws?\n",
      "1150 ) Which object in this image can be utilized to insert a screw\n",
      "1151 ) What the woman is using to insert screw?\n",
      "1152 ) Which object in this image is used for unscrewing screws?\n",
      "1153 ) Which object in this image is capable of turning a screw?\n",
      "1154 ) Which tool is able to turn a screw\n",
      "1155 ) Which object in this image is usually used in conjunction with a nail?\n",
      "1156 ) Which object in this image is used for pulling nails?\n",
      "1157 ) Which object is related to music?\n",
      "1158 ) what object in this image is smaller than a cucumber?\n",
      "1159 ) Where can you find this device usually?\n",
      "1160 ) Is pizza found at Italy?\n",
      "1161 ) What is the dairy product in this image?\n",
      "1162 ) Which object in this image is a dairy product?\n",
      "1163 ) Normally where can you find the object in the middle?\n",
      "1164 ) Why do they need a bow tie?\n",
      "1165 ) Which object in this image only has one wheel\n",
      "1166 ) Which object in this image has a wheel\n",
      "1167 ) Which object in this image has one wheel?\n",
      "1168 ) Which object in this image has one wheel\n",
      "1169 ) Which item in this image has one wheel?\n",
      "1170 ) Tell me the name of the musical instrument shown in this image\n",
      "1171 ) Why the man is holding a scissor?\n",
      "1172 ) What thing in the image looks like cloud?\n",
      "1173 ) Which object in this image is a mammal?\n",
      "1174 ) Which object in this image is a mammal?\n",
      "1175 ) What is the mammal in this image?\n",
      "1176 ) What seen here is a nice friend?\n",
      "1177 ) Which animal is a nice friend\n",
      "1178 ) Which object in this image can be found in Africa?\n",
      "1179 ) where is the animal on the left side can be found at?\n",
      "1180 ) where is the animal in this image can be found at?\n",
      "1181 ) what do the peple sit on?\n",
      "1182 ) What seen here might heavily depend on a clock?\n",
      "1183 ) Which object in this image might whinny?\n",
      "1184 ) Which object in this image is used for filling sandbags?\n",
      "1185 ) What can be found in this place?\n",
      "1186 ) Which animal in the image ages faster than humans\n",
      "1187 ) which object in this image is faster than humanoid?\n",
      "1188 ) Which object in this image is for sitting?\n",
      "1189 ) Which object in this image is related to sitting?\n",
      "1190 ) Which object is related to sit\n",
      "1191 ) Which object is for bad weather?\n",
      "1192 ) Which object in this image is used for bad weather?\n",
      "1193 ) What object is used for bad weather?\n",
      "1194 ) What object is used for bad weather?\n",
      "1195 ) Which object in this image can please little children?\n",
      "1196 ) Which object in this image is used for please little child?\n",
      "1197 ) Which object in this image is used for entering or exiting an area?\n",
      "1198 ) what is the skatboarder in this image doing?\n",
      "1199 ) which thing does the place shown in this image have as a part?\n",
      "1200 ) Which link is less accurate than the action shown in this image\n",
      "1201 ) what can you find in this image?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1202 ) what  is heavier than air in this image\n",
      "1203 ) what in this image is thicker than door?\n",
      "1204 ) what in this image is less thick than glue?\n",
      "1205 ) What is a remote control used for\n",
      "1206 ) Which object in this image is related to flower\n",
      "1207 ) Which things in this image have roots?\n",
      "1208 ) what object in this image has roots?\n",
      "1209 ) What object is able to borrow clothes in this image?\n",
      "1210 ) What objects in this image has hooves?\n",
      "1211 ) What thing in the image can blog?\n",
      "1212 ) What object in this image is larger than a human?\n",
      "1213 ) which animal in this image is larger than goat?\n",
      "1214 ) which animal in this image is less small than goat?\n",
      "1215 ) which animal in this image is less small than goat?\n",
      "1216 ) What can be found in this place?\n",
      "1217 ) ￼Which object in this image can be used to make a call?\n",
      "1218 ) Which object in this image can be found in opera?\n",
      "1219 ) Which object in this image belongs to the category Working animal?\n",
      "1220 ) Which object in this image belongs to the category Working animal?\n",
      "1221 ) Which object in this image belongs to the category Working animal?\n",
      "1222 ) Which object in this image belongs to the category Working animal?\n",
      "1223 ) Which object in this image can be found in floor?\n",
      "1224 ) Which object in this image can be found in floor?\n",
      "1225 ) Which object in this image can be found in floor?\n",
      "1226 ) Which object in this image can be found in floor?\n",
      "1227 ) Which object in this image can be found in floor?\n",
      "1228 ) Which object in this image can be found in floor?\n",
      "1229 ) Which object in this image can be found in floor?\n",
      "1230 ) What object in this image has straps?\n",
      "1231 ) what is the name of the animal in this image?\n",
      "1232 ) what can you often find in the place shown in this picture\n",
      "1233 ) Which object in this image has seeds?\n",
      "1234 ) Which object in this image belongs to the category Spices?\n",
      "1235 ) What object in the image is used by a musician?\n",
      "1236 ) Which object in this image is related to musician?\n",
      "1237 ) Which object in the image is often associated with Fashion?\n",
      "1238 ) Which item in the image is associated with Fashion?\n",
      "1239 ) Which object in the music can be purchased from a music store?\n",
      "1240 ) Which object in this image held by the person can be found in music store?\n",
      "1241 ) Which object in this image can be bought from a music store?\n",
      "1242 ) Which object in this image belongs to greenery?\n",
      "1243 ) what object in this image can be found in a bedroom?\n",
      "1244 ) Which device in the image can keeps things cold?\n",
      "1245 ) Which object in this image is a machine that keeps food cold?\n",
      "1246 ) What thing in this image is able to be found in someone's pocket?\n",
      "1247 ) Tell me the name of the musical instrument in this image?\n",
      "1248 ) What is a scooter used for\n",
      "1249 ) What is the woman wearing?\n",
      "1250 ) Normally you play this game with your?\n",
      "1251 ) Which object in this image is used for play with your pet?\n",
      "1252 ) What is the stuffed animal in the middle?\n",
      "1253 ) what is the stuffed animal on the right?\n",
      "1254 ) Which object in this image is a stuffed animal?\n",
      "1255 ) What stuffed animal is seen here?\n",
      "1256 ) Which object in this image is a stuffed animal?\n",
      "1257 ) what object in this image is a stuffed animal?\n",
      "1258 ) what object in this image is used to show information?\n",
      "1259 ) Which object in this image is used to show information?\n",
      "1260 ) Which object in this image is used to show information?\n",
      "1261 ) Which object in this image eats mice?\n",
      "1262 ) Which object in this image belongs to the category Outdoor recreation?\n",
      "1263 ) Which stick like object on the ground belongs to the category outdoor recreations\n",
      "1264 ) Which Outdoor recreation is shown in this image?\n",
      "1265 ) which object in this image works with ITunes?\n",
      "1266 ) What object is related to iTunes?\n",
      "1267 ) Which object in this image is related to monitor?\n",
      "1268 ) What object in this image may present a CAPTCHA?\n",
      "1269 ) which object in this image is less long than human?\n",
      "1270 ) Which object in this image might be used for having races?\n",
      "1271 ) Which object in this image is more convenient than a desktop computer?\n",
      "1272 ) Which object in this image is a popular toy?\n",
      "1273 ) What is the name of the popular toy shown in this image\n",
      "1274 ) what in this image can be found in live room?\n",
      "1275 ) What thing does the place shown in this image have as a part?\n",
      "1276 ) What can be found in this place?\n",
      "1277 ) Which object in this image is a string instrument play with bow?\n",
      "1278 ) Which object in this image is a string instrument play with bow?\n",
      "1279 ) What instrument in this image has four strings?\n",
      "1280 ) Which object in this image has four strings?\n",
      "1281 ) What does the object in the centre of this image have as parts?\n",
      "1282 ) What kind of stringed musical instrument is in this image?\n",
      "1283 ) Which object in this image is a string musical instrument?\n",
      "1284 ) What things in this image belong to the category Technology?\n",
      "1285 ) What stuff in this image has two wheels?\n",
      "1286 ) Which object in this image has a two wheel\n",
      "1287 ) What object in this image has two wheels?\n",
      "1288 ) how many wheels does this vehicle has?\n",
      "1289 ) Which vehicle in this photo has two wheels?\n",
      "1290 ) Which object in this image has two wheels?\n",
      "1291 ) What vegetable in this image is related to melon?\n",
      "1292 ) Which object in this image has the property of being good for a romantic dinner?\n",
      "1293 ) Which object in this image is a tex mex food?\n",
      "1294 ) which object in this image is less expensive than beef?\n",
      "1295 ) Which round object in the images belongs to the category food?\n",
      "1296 ) Which object in this image belongs to the category Foods?\n",
      "1297 ) Which object in this image is capable of buttering his morning toast?\n",
      "1298 ) which object in this image is related to glass?\n",
      "1299 ) What thing, shown in this image, often likes to jump up on furniture and explore?\n",
      "1300 ) Which object in this image likes to jump on furniture?\n",
      "1301 ) Which object in this image belongs to the category Tennis?\n",
      "1302 ) Which one is lighter? Car or the vehicle in the image?\n",
      "1303 ) Which object in this image is lighter than a car?\n",
      "1304 ) Which object in this image is related to head?\n",
      "1305 ) which object in this image is less intense than cherry?\n",
      "1306 ) which object in this image is less intense than cherry?\n",
      "1307 ) which object in this image is less intense than cherry?\n",
      "1308 ) which object in this image is less intense than cherry?\n",
      "1309 ) which object in this image is less intense than cherry?\n",
      "1310 ) which object in this image is less intense than cherry?\n",
      "1311 ) which object in this image is less intense than cherry?\n",
      "1312 ) which object in this image is less intense than cherry?\n",
      "1313 ) which object in this image is less intense than cherry?\n",
      "1314 ) which object in this image is less intense than cherry?\n",
      "1315 ) which object in this image is less intense than cherry?\n",
      "1316 ) which object in this image is less intense than cherry?\n",
      "1317 ) which object in this image is less intense than cherry?\n",
      "1318 ) which object in this image is less intense than cherry?\n",
      "1319 ) which object in this image is less intense red than cherry?\n",
      "1320 ) which object in this image is less intense than cherry?\n",
      "1321 ) Which object in this image can be found on lawn?\n",
      "1322 ) what object in this image is a type of vehicle?\n",
      "1323 ) what object in this image is a type of vehicle?\n",
      "1324 ) what object in this image can deliver computers?\n",
      "1325 ) Which object in this image belongs to the category Sports originating in England?\n",
      "1326 ) Which animal in this image is slower than a horse?\n",
      "1327 ) Which animal walks faster than the animal shown in this image?\n",
      "1328 ) What animal in the image is slower than horse?\n",
      "1329 ) Which object in this image belongs to the category Commercial vehicles? \n",
      "1330 ) You are likely to find a stamp pad in an office\n",
      "1331 ) which object in this image is bigger than pedestrian?\n",
      "1332 ) what's shown in the left part of the image\n",
      "1333 ) What is the object most likely to be found in a bedroom?\n",
      "1334 ) What does this place have?\n",
      "1335 ) What thing does the place shown in this image have as a part?\n",
      "1336 ) Where can you find a home office in this image?\n",
      "1337 ) where can we find the place shown in this image\n",
      "1338 ) Which object in this image belongs to the category Youth?\n",
      "1339 ) Which object in this image belongs to the category Youth?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1340 ) Which people are young in this image?\n",
      "1341 ) What in this image is a youth?\n",
      "1342 ) what is on the table\n",
      "1343 ) which object in this image is the food that children loves so much\n",
      "1344 ) Which object in this image is a popular food with kid?\n",
      "1345 ) What is used for storing liquid in this image?\n",
      "1346 ) What food is cheaper than steak?\n",
      "1347 ) which object in this image is round\n",
      "1348 ) Which object in this image is round?\n",
      "1349 ) What is the round object in this image?\n",
      "1350 ) What do you need to program?\n",
      "1351 ) which object in this image is a basic tool for program\n",
      "1352 ) Which object in this image is related to colour?\n",
      "1353 ) Which object in this image might be found in a jazz band?\n",
      "1354 ) Which thing in the image can be found in a jazz band?\n",
      "1355 ) What is the container in this image\n",
      "1356 ) What is the metal thing is used for?\n",
      "1357 ) What thing in the image can be used for cutting?\n",
      "1358 ) Which object in this image can be used to cut something\n",
      "1359 ) what object in this image is used to keep the sun off you?\n",
      "1360 ) Where can people find bowls\n",
      "1361 ) Which device in the image can run programs?\n",
      "1362 ) Which object in this image can be used to erase pencil\n",
      "1363 ) Which object in this image can be used to erase pencil\n",
      "1364 ) Where can you find a sink\n",
      "1365 ) Which object in this image belongs to the category Consumer electronics?\n",
      "1366 ) Which object in the image is often less big than dog?\n",
      "1367 ) What can be found in this place?\n",
      "1368 ) What food in this image is from Italy?\n",
      "1369 ) Which object in this image is related to the culture of Italy?\n",
      "1370 ) Which object in this image is a furniture ?\n",
      "1371 ) What in this image is a part of the category of Buildings and Structures?\n",
      "1372 ) Which object in this image is an acoustic instrument?\n",
      "1373 ) Which object in this image belongs to the category Places?\n",
      "1374 ) Which object in this image has a 2 wheel?\n",
      "1375 ) Tell me the object in the image that owns two wheels.\n",
      "1376 ) Which object in this image has two wheels?\n",
      "1377 ) Which object in this image has two wheels?\n",
      "1378 ) Which object in this image is capable of be long or short sleeved?\n",
      "1379 ) Which object in this image can be long or short sleeved?\n",
      "1380 ) What in this image could die from a snake bite?\n",
      "1381 ) Which object in this image desires trick others?\n",
      "1382 ) What vehicle can be seen in this image?\n",
      "1383 ) What object in the center belongs to the category tree?\n",
      "1384 ) Which item in this image belongs to the category Flying disc?\n",
      "1385 ) Which object in this image is a flying disc?\n",
      "1386 ) Which object in this image can be used to place something on it?\n",
      "1387 ) Which object in the image is like a tv?\n",
      "1388 ) What surfing equipment is used in this image ?\n",
      "1389 ) Which surfing equipment can you see in this image?\n",
      "1390 ) Which object in this image belongs to the category Embedded systems?\n",
      "1391 ) What can you find on the surface of a desk?\n",
      "1392 ) What can you usually find on the surface of a desk?\n",
      "1393 ) Which electronical elements can be found in surface of desk?\n",
      "1394 ) Which device is expensive?\n",
      "1395 ) Which fruit in this image has the property of red?\n",
      "1396 ) Which object in this image is red?\n",
      "1397 ) Which object in this image has the property of red?\n",
      "1398 ) Which object is related to video games?\n",
      "1399 ) What object in this image is a type of snack food?\n",
      "1400 ) What type of snack food is in this image?\n",
      "1401 ) What object in this image is related to a berliner?\n",
      "1402 ) What dessert is in this image?\n",
      "1403 ) What in this image is made by cooking?\n",
      "1404 ) Which object in this image belongs to the category of Constructions?\n",
      "1405 ) which animal in this image is less muscular than a horse?\n",
      "1406 ) Which object in this image is related to clop?\n",
      "1407 ) What in this image can be used for riding on?\n",
      "1408 ) Which object in this image is often yellow?\n",
      "1409 ) What is the yellow object in this image?\n",
      "1410 ) What kind of watercraft is shown in this image ?\n",
      "1411 ) Where is the place in the image?\n",
      "1412 ) Which object is related to display technology?\n",
      "1413 ) What property does the scenario in this image have?\n",
      "1414 ) What property does the event in this image have?\n",
      "1415 ) What property does the event in this image have?\n",
      "1416 ) What can you say about the event depicted in this image?\n",
      "1417 ) What property does the event in this image have?\n",
      "1418 ) What property does the action in this image have?\n",
      "1419 ) Which object in this image is related to keymapping?\n",
      "1420 ) which object in this image can used for clicking\n",
      "1421 ) Which object in this image belongs to the category Writing implements?\n",
      "1422 ) What object in this image can cook dinner?\n",
      "1423 ) Where can you seat in this room?\n",
      "1424 ) what object in this image is a place to sit?\n",
      "1425 ) Which object in this image is a kind of media\n",
      "1426 ) What kind of media is shown in this image ?\n",
      "1427 ) What kind of media is shown in this image ?\n",
      "1428 ) What thin in the image can block the sunlight from your eyes?\n",
      "1429 ) What is this place can be used for?\n",
      "1430 ) What thing is used for storing books\n",
      "1431 ) What does the right large object contain?\n",
      "1432 ) Which object in this image contains books?\n",
      "1433 ) What thing in this image can be used to watch movies\n",
      "1434 ) Which object in this image is used to watch movies?\n",
      "1435 ) Which object in this image can be used for watching movies?\n",
      "1436 ) Which object can be used to display images\n",
      "1437 ) Which appliance in this image can be used to display images?\n",
      "1438 ) Which animal in this image can swim?\n",
      "1439 ) What do fish can\n",
      "1440 ) What is the place in this image used for?\n",
      "1441 ) Which object in this image is used to display transmitted images?\n",
      "1442 ) Which object in this image is used to display a transmitted image?\n",
      "1443 ) What is on the sky?\n",
      "1444 ) When the toy in the centre is introduced?\n",
      "1445 ) What the food in the image are made of?\n",
      "1446 ) Which object in this image is used for enclosing a space?\n",
      "1447 ) Which electronic appliance can be used to call someone\n",
      "1448 ) Which object in this image can be used to place calls?\n",
      "1449 ) Which device on the table can be used to call?\n",
      "1450 ) which object in this image is bigger than motorcycle?\n",
      "1451 ) which object in this image is smaller than car?\n",
      "1452 ) What is the object used for transportation in this image is bigger than motorcycle?\n",
      "1453 ) Which object in this image is a popular form of transportation especially among child and woman environmentalist and Asian?\n",
      "1454 ) Which thingin this image belongs to the category Clothing by type?\n",
      "1455 ) Which thing in this image belongs to the category Clothing?\n",
      "1456 ) Which thingin this image belongs to the category Physicians?\n",
      "1457 ) Which thing in this image belongs to the category Vision?\n",
      "1458 ) Which object in this image belongs to the category transportation systems?\n",
      "1459 ) Which object in this image belongs to the category Transport systems?\n",
      "1460 ) Which object in this image has a two wheels and two pedals?\n",
      "1461 ) Which object in this image is a instrument of music?\n",
      "1462 ) Which thing in this image can sometimes like to meditate?\n",
      "1463 ) Which object in this image is related to grind?\n",
      "1464 ) Which object in this image is related to grind?\n",
      "1465 ) ￼Which object in this image can be used to grind?\n",
      "1466 ) which moving object in this image is smaller than a car?\n",
      "1467 ) which transportation in this image is smaller than car?\n",
      "1468 ) which transportation in this image is smaller than car?\n",
      "1469 ) Which vehicle on the left of the image is smaller than a car?\n",
      "1470 ) Which object in this image is smaller than a car?\n",
      "1471 ) Which object in this image is used for hold broth?\n",
      "1472 ) What is this place used as?\n",
      "1473 ) What is the object in the middle of this image often used for\n",
      "1474 ) What is the kingdom of the animal in the middle of this image?\n",
      "1475 ) Which kind of sport are those doing  in this image\n",
      "1476 ) What sport is being played here?\n",
      "1477 ) What sport is depicted in this image?\n",
      "1478 ) Which vehicle in this image is used for riding\n",
      "1479 ) what object in this image is used for travel\n",
      "1480 ) Which object in this image has two peddles\n",
      "1481 ) Which object in this image has two pedals?\n",
      "1482 ) Which object in this image has two peddles?\n",
      "1483 ) Which object in this image desires life full of meaning?\n",
      "1484 ) Which object in this image is used for storing cold food?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1485 ) Which tool in the image is used for eating food?\n",
      "1486 ) Which equipment in this image is used to hit baseball?\n",
      "1487 ) Which object in this image can be used to hit a baseball?\n",
      "1488 ) What is the man holding that can hit a baseball\n",
      "1489 ) what object int his image is used for cycling?\n",
      "1490 ) Which object in this image desires bark?\n",
      "1491 ) which object in this image is a animal that has nose\n",
      "1492 ) Which object in this image has a nose?:\n",
      "1493 ) Which object in this image is related to blade?\n",
      "1494 ) Which food in this image comes from North America?\n",
      "1495 ) Which object in this image belongs to the category North American cuisine?\n",
      "1496 ) Which object in this image is a favorite fast food?\n",
      "1497 ) which object in this image is a member of a family\n",
      "1498 ) Which object in this image belongs to the category Family?\n",
      "1499 ) Who in this image are family members?\n",
      "1500 ) Which object in this image is in the air?\n",
      "1501 ) What type of fish is in this image?\n",
      "1502 ) Which object in this image is related to flow?\n",
      "1503 ) Which object in this image might need a tuner?\n",
      "1504 ) Which object in this image has keys?\n",
      "1505 ) Which object in this image belongs to the category Goldfish?\n",
      "1506 ) What property does the place in this image have?\n",
      "1507 ) What property does the place in this image have?\n",
      "1508 ) What property does the place in this image have?\n",
      "1509 ) What property does the place in this image have?\n",
      "1510 ) Where was the image taken ?\n",
      "1511 ) Which object in this image is related to carrot cake?\n",
      "1512 ) Which object in this image is related to carrot cake?\n",
      "1513 ) Which object in this image is used for wedding?\n",
      "1514 ) Which object in this image might be bought by the punnet?\n",
      "1515 ) which object in this image belongs to the category of plants?\n",
      "1516 ) Which object in this image is a fruit?\n",
      "1517 ) Which object in this image is a fruit?\n",
      "1518 ) Which red object in this image is a fruit?\n",
      "1519 ) which object in this image can play a game with a computer?\n",
      "1520 ) what object in this image is capable of buying camping gear?\n",
      "1521 ) which object in this image can staple paper?\n",
      "1522 ) which object in this image can fall asleep whilst watching TV?\n",
      "1523 ) which sport equipment in this image is softer than basketball?\n",
      "1524 ) Which object in this image is used for riding?\n",
      "1525 ) Which object in this image is used for riding?\n",
      "1526 ) Which object in this image is used for a ride?\n",
      "1527 ) Which object in this image is used for riding?\n",
      "1528 ) Which object in this image is used for ride?\n",
      "1529 ) Which object in this image can often be found on the street?\n",
      "1530 ) which object often parks on the street\n",
      "1531 ) Which object in this image is a two wheeled motorized vehicle?\n",
      "1532 ) Which object in this image is a two wheeled motorized vehicle\n",
      "1533 ) Which object in this image is formal clothing?\n",
      "1534 ) Which object in this image is used for commute to work?\n",
      "1535 ) which object in this image could you use to commute to work?\n",
      "1536 ) What can be less expensive than the place shown on the left?\n",
      "1537 ) Which object in this image belongs to the category Landscape?\n",
      "1538 ) Which object in this image is a portable media player?\n",
      "1539 ) What is used as digital audio player?\n",
      "1540 ) Which object in this image a digital audio player?\n",
      "1541 ) Which object in this image belongs to the category Digital audio players?\n",
      "1542 ) Which object in this image is a form of public transportation?\n",
      "1543 ) Which object in this image is a form of public transportation?\n",
      "1544 ) Which object in this image is a form of public transportation?\n",
      "1545 ) Which vehicle in this image is a form of public transportation?\n",
      "1546 ) Which object in this image is a form of public transportation\n",
      "1547 ) What property does the place in this image have?\n",
      "1548 ) Which object in this image is for Traffic management?\n",
      "1549 ) which object in this image has dog fur\n",
      "1550 ) Which object in this image can cover you upper body?\n",
      "1551 ) Which object in this image is related to musth?\n",
      "1552 ) Which of the objects in this image is a type of furniture?\n",
      "1553 ) Which object in this image belongs to a motor vehicle?\n",
      "1554 ) what kind of motor vehicle can we observe in this iamge\n",
      "1555 ) Which object in this image has a four tyres?\n",
      "1556 ) Which vehicle in this image has four tyres\n",
      "1557 ) which object in this image is less protected than car?\n",
      "1558 ) Which object in this image can go fast and has two wheels?\n",
      "1559 ) Which object in this image has two wheels and can go fast?\n",
      "1560 ) What is the place in this image used for moving?\n",
      "1561 ) Which of these objects is related to paper?\n",
      "1562 ) which object in this image is bigger than horse?\n",
      "1563 ) which animal in this image is bigger than horse?\n",
      "1564 ) Which object in this image is related to wire?\n",
      "1565 ) Which object in this image has a frame and two lenses?\n",
      "1566 ) Which object in this image might be used for cuddling?\n",
      "1567 ) What object in the image can be used for cuddling?\n",
      "1568 ) which object in this image costs less money than taxi?\n",
      "1569 ) Which vehicle in this image is cheaper than taxi\n",
      "1570 ) Which object in this image is cheaper than taxi?\n",
      "1571 ) Where can the object in the middle of this image be found?\n",
      "1572 ) Where does the object at the bottom of the image can be found in?\n",
      "1573 ) Which place is less warm than the place shown in this image?\n",
      "1574 ) What rooms are colder than a living room?\n",
      "1575 ) Which place is less warm than the place shown in this image\n",
      "1576 ) Which place is less warm than the place shown in this image\n",
      "1577 ) Which place is less warm than the place shown in this image\n",
      "1578 ) Which place may be less warm than the place shown in this image?\n",
      "1579 ) where is less warm than the place shown in this image\n",
      "1580 ) Which place is not as warm as the place shown in this image?\n",
      "1581 ) What shown here can be used for covering the upper body?\n",
      "1582 ) Which object in this image is used for covering the upper body?\n",
      "1583 ) Which object in this image can be used for go from place to place?\n",
      "1584 ) What can this place in the image be used for?\n",
      "1585 ) What can be found in this place?\n",
      "1586 ) Which object in this image is capable of eat most types of food?\n",
      "1587 ) Which object in this image can winter in a cave?\n",
      "1588 ) What can maul you to death?\n",
      "1589 ) What can maul you to death?\n",
      "1590 ) Which object in this image has fur?\n",
      "1591 ) Which object in this image is able to eat food?\n",
      "1592 ) which object in this image is capable of eating food?\n",
      "1593 ) What object in this image has headlights?\n",
      "1594 ) Which object in this image is a large strong intelligent animal with big claws and teeth that lives in cold climates?\n",
      "1595 ) Which equipment in this image belongs to sports?\n",
      "1596 ) What object in this image is a type of sports equipment?\n",
      "1597 ) Which item in this image belongs to the category Boardsport?\n",
      "1598 ) Which object in this image a kind of Boardsport?\n",
      "1599 ) What in this image belongs to the category Building materials?\n",
      "1600 ) In this images, which object is related to the category Cutting?\n",
      "1601 ) Which object used by the men in this image belongs to the category Saw?\n",
      "1602 ) Which object in this image belongs to the category Streets?\n",
      "1603 ) Which object in this image has a tail?\n",
      "1604 ) Which object in this image has a four legs?\n",
      "1605 ) which object in this image can live in the rocky place\n",
      "1606 ) Which object in this image is related to pearwood?\n",
      "1607 ) Which object in this image is often used to play jazz?\n",
      "1608 ) Which object in this image belongs to the category Musical instruments?\n",
      "1609 ) what thing is safer than the object in the middle in this image?\n",
      "1610 ) What food in this image belongs to the category Restaurant terminology?\n",
      "1611 ) Which object in this image attribute the category Italian society?\n",
      "1612 ) Which object in this image can pull a cart?\n",
      "1613 ) Which object in this image belongs to the category Dental materials?\n",
      "1614 ) Which object in this image has bristles?\n",
      "1615 ) Which object in this image is for Road traffic control?\n",
      "1616 ) Which object in the image is an electronic gadget?\n",
      "1617 ) Which object in this image can be used to control a tv?\n",
      "1618 ) What can the object in this image do?\n",
      "1619 ) What is the reptile in this image?\n",
      "1620 ) which object can we find in this place shown in the image\n",
      "1621 ) What can be found in this playground?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1622 ) What can be found in this place?\n",
      "1623 ) Which place is more expensive than the place shown in this image\n",
      "1624 ) Which object in this image has wheels?\n",
      "1625 ) Which object in this image has wheels?\n",
      "1626 ) What object in this image has wheel?\n",
      "1627 ) Which object in this image belongs to the category Sports equipment?\n",
      "1628 ) Which object in this image is usually slower than a desktop computer?\n",
      "1629 ) What can be seen in this image?\n",
      "1630 ) What can be found in this place?\n",
      "1631 ) What thing does the place shown in this image have as a part?\n",
      "1632 ) What does this place contain?\n",
      "1633 ) What can be found in this place?\n",
      "1634 ) Which vehicle in this image has tires?\n",
      "1635 ) What is monitor used for?\n",
      "1636 ) What thing in the image can be used for hiding bombs?\n",
      "1637 ) What is the white line on the racket?\n",
      "1638 ) Which object in this image is strung?\n",
      "1639 ) What object in this image has strings?\n",
      "1640 ) Tell me the musical instrument in this image?\n",
      "1641 ) Which device in the image has letter and numbers on it?\n",
      "1642 ) Which thing in this image is used for photography?\n",
      "1643 ) Which fruit in this image is crop originating from China\n",
      "1644 ) Which object on the right can be more convenient than train?\n",
      "1645 ) what object in this image is more convenient than a desktop computer\n",
      "1646 ) which object in this image is more convenient than desktop computer?\n",
      "1647 ) Which object in this image is more convenient than desktop computer?\n",
      "1648 ) Which kind of animal in this image is a herbivore?\n",
      "1649 ) Which object in this image is a herbivore?\n",
      "1650 ) What is the herbivore in this image.\n",
      "1651 ) Whether the vehicle in the image is long or short?\n",
      "1652 ) Which object in this image is good with cream cheese?\n",
      "1653 ) Which object in this image is capable of be update every few year?\n",
      "1654 ) Which object in this image is capable of be update every few year?\n",
      "1655 ) Which object in this image is capable of be update every few year?\n",
      "1656 ) Which object in this image is capable of be update every few year?\n",
      "1657 ) Which object in this image is capable of be update every few year?\n",
      "1658 ) Which object in this image is capable of be update every few year?\n",
      "1659 ) Which object in this image is capable of be replace every few year?\n",
      "1660 ) Which object in this image is capable of be update every few year?\n",
      "1661 ) Which object in the center of the image is related to banana split?\n",
      "1662 ) which object in this image is more specific than fruit?\n",
      "1663 ) Which object in this image has a name that is also a colour?\n",
      "1664 ) Which object in this image belongs to the category Capsicum?\n",
      "1665 ) Which object in this image can be cateroried to Foods?\n",
      "1666 ) What type of food is that on the right side of the plate ?\n",
      "1667 ) Which object in this image belongs to the category Foods?\n",
      "1668 ) What sort of food can you see in this image?\n",
      "1669 ) Which object in this image belongs to the category Foods?\n",
      "1670 ) what is it  in this image belongs to the category Mammals with sequenced genomes?\n",
      "1671 ) what is it  in this image belongs to the category Mammals with sequenced genomes?\n",
      "1672 ) what is it  in this image belongs to the category Mammals with sequenced genomes?\n",
      "1673 ) what is it  in this image belongs to the category Mammals with sequenced genomes?\n",
      "1674 ) what is it  in this image belongs to the category Mammals with sequenced genomes?\n",
      "1675 ) what is it  in this image belongs to the category Mammals with sequenced genomes?\n",
      "1676 ) what is it  in this image belongs to the category Mammals with sequenced genomes?\n",
      "1677 ) What is the animal famous for?\n",
      "1678 ) What object in the image can work for days without water?\n",
      "1679 ) Which object in this image belongs to measuring instrument\n",
      "1680 ) What is on the back of the animal?\n",
      "1681 ) Which object in this image is related to hump?\n",
      "1682 ) Which one is taller? horse or the animal in the image?\n",
      "1683 ) Which object in this image is related to wool\n",
      "1684 ) Which object in this image is related to wool?\n",
      "1685 ) which object in this image is related to 'wool'?\n",
      "1686 ) How many humps does the animal in the image has normally?\n",
      "1687 ) Which animal in this image has a either one or two hump?\n",
      "1688 ) what object in this image is less manoeuvrable than an airplane?\n",
      "1689 ) Which country you are most likely to find these animals?\n",
      "1690 ) Normally where can you find this thing?\n",
      "1691 ) What thing in this image is able to carry freight\n",
      "1692 ) Which object in this image can be used to carry freight?\n",
      "1693 ) Which object in this image is capable of carry goods?\n",
      "1694 ) Which object in this image belongs to the category Eyewear?\n",
      "1695 ) Which object in this image belongs to the category Eyewear?\n",
      "1696 ) What is this place used for?\n",
      "1697 ) What can you do in this place?\n",
      "1698 ) Which object in this image has a tine?\n",
      "1699 ) Which object in this image has tines?\n",
      "1700 ) Which object in this image has tines?\n",
      "1701 ) Which object in this image could be used to make toast?\n",
      "1702 ) Which object in this image has the property of bright?\n",
      "1703 ) ￼Which object in this image is a hat that protect your head?\n",
      "1704 ) Which object in this image is a hat that protect your head?\n",
      "1705 ) Which object in this image is a hat that protect your head?\n",
      "1706 ) What container is visible in this image?\n",
      "1707 ) Which object in this image can ring?\n",
      "1708 ) which object in this image can ring\n",
      "1709 ) What object in this image can ring?\n",
      "1710 ) What can ring in this image?\n",
      "1711 ) Where does the objects shown in this image can be found?\n",
      "1712 ) Which object in this image is used for eat?\n",
      "1713 ) What stuff is related to sport?\n",
      "1714 ) Which object in this image is capable of help another?\n",
      "1715 ) Which object in this image is a cool crisp vegetable?\n",
      "1716 ) What cool, crisp vegetable can you see here?\n",
      "1717 ) Which object in this image is larger than a breadbox?\n",
      "1718 ) Which object in this image is very fatty ?\n",
      "1719 ) Which object in this image cotains lettuce?\n",
      "1720 ) Which object in this image can be found in a fast food restaurant?\n",
      "1721 ) What is the healthier food in the image ?\n",
      "1722 ) Which object has a long nose\n",
      "1723 ) Which object in this image has a long nose called a trunk?\n",
      "1724 ) Which object in this image has a long nose?\n",
      "1725 ) Who has a long nose in the image?\n",
      "1726 ) Which object in this image can be found in bus stop?\n",
      "1727 ) which object in this image is larger than laptop screen?\n",
      "1728 ) Which device in this image is larger than laptop screen?\n",
      "1729 ) Which object in this image is a domestic animal?\n",
      "1730 ) What is the round, disc-like stuff?\n",
      "1731 ) Which object in this image is a toy that you throw?\n",
      "1732 ) what object in this image is a toy that you throw?\n",
      "1733 ) Which object in this image is a toy that you throw?\n",
      "1734 ) What is the place used for?\n",
      "1735 ) What is the place in this image used for?\n",
      "1736 ) what is the place in this image used for?\n",
      "1737 ) What does the place in the image can be used for?\n",
      "1738 ) What can you do in this place?\n",
      "1739 ) What can you do in this place?\n",
      "1740 ) Which object in this image is transparent?\n",
      "1741 ) What object in this image is transparent?\n",
      "1742 ) Which object in this image is transparent?\n",
      "1743 ) Which object in this image belongs to the category Stationery?\n",
      "1744 ) What is an item of stationary visible in this image?\n",
      "1745 ) Which object in this image is an animal?\n",
      "1746 ) Which animal can be seen in this picture?\n",
      "1747 ) Which one in this image is a animal?\n",
      "1748 ) Which object in this image is a animal?\n",
      "1749 ) What mammals can be seen in this image?\n",
      "1750 ) which kind of mammal is in this image\n",
      "1751 ) What can be found in this place?\n",
      "1752 ) What can be found in this place?\n",
      "1753 ) What can be found in this place?\n",
      "1754 ) what animal can be found in this place?\n",
      "1755 ) What in this image has roots?\n",
      "1756 ) Which object in this image is related to drive?\n",
      "1757 ) Which thing in this image is used for brainwashing people into buying stuff?\n",
      "1758 ) What thing in this image is for watching?\n",
      "1759 ) What is a TV used for\n",
      "1760 ) What kind of  Sports equipment is used in this image ?\n",
      "1761 ) What sports equipment can be seen in this image?\n",
      "1762 ) Which Sports equipment does the man using\n",
      "1763 ) Which object in this image is a wind instrument?\n",
      "1764 ) What instrument in the image is a wind instrument?\n",
      "1765 ) what object in this image is a wind instrument?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1766 ) Where does the place in this image can be found in?\n",
      "1767 ) What property does the place in this image have?\n",
      "1768 ) What objects in this image are inspirational\n",
      "1769 ) What objects in this image are inspirational\n",
      "1770 ) What objects in this image are inspirational\n",
      "1771 ) What objects in this image are inspirational\n",
      "1772 ) What objects in this image are inspirational\n",
      "1773 ) What objects in this image are inspirational\n",
      "1774 ) What objects in this image are inspirational\n",
      "1775 ) What objects in this image are inspirational\n",
      "1776 ) What objects in this image are inspirational\n",
      "1777 ) What objects in this image are inspirational\n",
      "1778 ) What objects in this image are inspirational\n",
      "1779 ) Which object in this image has legs?\n",
      "1780 ) Which object in this image can learn how to beg?\n",
      "1781 ) Which animal in this image likes to play outside?\n",
      "1782 ) Which object in this image is capable of play outside?\n",
      "1783 ) What input method is slower than the bottom object in this image? \n",
      "1784 ) What is usually in this place?\n",
      "1785 ) Which kind of Domesticated animals is shown in this image ?\n",
      "1786 ) which kind of vehicle shown in this image is smaller than car?\n",
      "1787 ) which object in this image is smaller than car?\n",
      "1788 ) Which animal in this image is large?\n",
      "1789 ) Which object in this image has the property of enormous?\n",
      "1790 ) Which object in this image is large?\n",
      "1791 ) What are the large objects in this image?\n",
      "1792 ) Which object in this image is the largest land animal?\n",
      "1793 ) Which animal in this image is a our largest land animal?\n",
      "1794 ) What does banjo belongs to\n",
      "1795 ) What is the place in this image used for?\n",
      "1796 ) What is the place in this image used for?\n",
      "1797 ) Which object in this image is worn on the hand?\n",
      "1798 ) Which objects in this image are used for protection?\n",
      "1799 ) Which object in this image is used to void injury?\n",
      "1800 ) What metal object is in this image?\n",
      "1801 ) Which object in this image is related to typewriter?\n",
      "1802 ) Which object in this image is capable of lying?\n",
      "1803 ) Which object in this image has the property of dry and small?\n",
      "1804 ) Which object in this image is a part of bathroom?\n",
      "1805 ) What in the bottom of the image can you typically find in this place?\n",
      "1806 ) What does this place contain?\n",
      "1807 ) What is the place in this image used for?\n",
      "1808 ) Which object in this image is an animal humans keep as a pet?\n",
      "1809 ) Which object in this image can be kept as a pet?\n",
      "1810 ) What object in this image can be kept as a pet?\n",
      "1811 ) Which object in this image is a animal human keep as pet?\n",
      "1812 ) What is the taste of the fruit in the image?\n",
      "1813 ) Which thing you have to use if you want to poop?\n",
      "1814 ) Which object in this image is a loyal pet?\n",
      "1815 ) What animal is loyal pet?\n",
      "1816 ) What are flown in the sky?\n",
      "1817 ) Which thing in the image is used to browning bread?\n",
      "1818 ) What is in the bottle?\n",
      "1819 ) Which object in this image is a musical instrument?\n",
      "1820 ) Which object in this image is a musical instrument?\n",
      "1821 ) What thing is likely to be found in this place\n",
      "1822 ) which object has claws\n",
      "1823 ) which object in this image is cheaper than train\n",
      "1824 ) What animal is in this image?\n",
      "1825 ) Which furniture in this image is to sleep on?\n",
      "1826 ) What seen here may be placed in a cargo bin?\n",
      "1827 ) Which object in this image can be served raw?\n",
      "1828 ) Which object in this image is used for output by a computer?\n",
      "1829 ) Which furniture in this image is used for work sit down?\n",
      "1830 ) which object can you use to work sit down\n",
      "1831 ) Which equipment in this image belongs to the category Office supplies?\n",
      "1832 ) Which electronic device in this image is a input device?\n",
      "1833 ) What is the input device?\n",
      "1834 ) Which object in this image is used to play a tune?\n",
      "1835 ) What is one item of office equipment shown here?\n",
      "1836 ) Which object in this image is a multi reed woodwind instrument?\n",
      "1837 ) Which object in this image is a multi reed woodwind instrument?\n",
      "1838 ) Which object in this image can be found in a bluegrass band?\n",
      "1839 ) Which object in this image is related to a pointer?\n",
      "1840 ) Which object in this image is a kind of fuiniture?\n",
      "1841 ) which animal in this image is more intelligent than human?\n",
      "1842 ) Which object in this image is a young cat?\n",
      "1843 ) Can you identify any animal in this image?\n",
      "1844 ) What is the plant in the image?\n",
      "1845 ) which object in this picture can connect with an ibook\n",
      "1846 ) which object in this picture can connect with an ibook\n",
      "1847 ) Which object in this image is a large animal?\n",
      "1848 ) which object in this image is a type of stuffed toy?\n",
      "1849 ) Which object in this image belongs to the category Stuffed toys?\n",
      "1850 ) Which animal in this image is very big?\n",
      "1851 ) Which object in this image is very big?\n",
      "1852 ) What is the big animal in the image?\n",
      "1853 ) what can we find in the place shown in this image\n",
      "1854 ) What can you find in this place?\n",
      "1855 ) which object in this image could run faster than pedestrian\n",
      "1856 ) Which object seen here is used for playing chords?\n",
      "1857 ) Which object in this image is a snack food?\n",
      "1858 ) Which thing in the image can be used for scooping food?\n",
      "1859 ) Which object in this image is a kind of Mobile technology?\n",
      "1860 ) Which object is used to hold groceries?\n",
      "1861 ) what object in this image is a grasping appendage?\n",
      "1862 ) Whether the laptop in the image is cheaper or more expensive than a apple mac?\n",
      "1863 ) which object in this picture shows similar property as reishi\n",
      "1864 ) Which animal in the image like eating worms?\n",
      "1865 ) which kind of outdoor recreation are shown in this image\n",
      "1866 ) which kind of outdoor recreation are shown in this image\n",
      "1867 ) WHat is looking through the window?\n",
      "1868 ) which object in this image is capable of landing on all four paws?\n",
      "1869 ) If you need to install or remove screws, which object will you choose?\n",
      "1870 ) dfsd\n",
      "1871 ) Which object in this image belongs to the category Convenience foods?\n",
      "1872 ) Which object in this image is capable of losing keys?\n",
      "1873 ) Which object in this image is for surfing?\n",
      "1874 ) Which object in this image is related to surfing?\n",
      "1875 ) What can be found in this place?\n",
      "1876 ) What object in this image is related to a horse?\n",
      "1877 ) Which object in this image is related to horse\n",
      "1878 ) Which object in this image is related to horse?\n",
      "1879 ) Which animal in this image is related to horse?\n",
      "1880 ) What object in this image is an equine?\n",
      "1881 ) Which objects in this image are equines?\n",
      "1882 ) Which object in this image is taller than a rhino?\n",
      "1883 ) What object in this image is taller than a rhino?\n",
      "1884 ) Which animal is taller? rhino or the animal in the image?\n",
      "1885 ) Which object in this image is taller than rhino?\n",
      "1886 ) Which object in this image has a long tongue?\n",
      "1887 ) Which animal in the image has long tongues?\n",
      "1888 ) Which object in this image has a long tongue?\n",
      "1889 ) Which object in this image has a long tongue?\n",
      "1890 ) What in this image has a long tongue?\n",
      "1891 ) Which object in this image has a long tongue?\n",
      "1892 ) Which object in this image has a long tongue?\n",
      "1893 ) Which object in this image is a food?\n",
      "1894 ) Which object in this image belongs to the category Bovinae?\n",
      "1895 ) Which body part shown in this image has eyes?\n",
      "1896 ) What can be found in this place?\n",
      "1897 ) What sort of room can be found in this place?\n",
      "1898 ) What can be found in this place?\n",
      "1899 ) What can be found in this place?\n",
      "1900 ) What are you likely to find in this place?\n",
      "1901 ) Which is related to Kitchenware in the image?\n",
      "1902 ) Which board game accessory can be found in this place?\n",
      "1903 ) What kind of drink is in the image?\n",
      "1904 ) Which object in this image is drinkable?\n",
      "1905 ) which object in this image can be used as the ingredient in recipe\n",
      "1906 ) What object in this image is often found with a mouse?\n",
      "1907 ) What object in this image is related to computing?\n",
      "1908 ) Which object in this image belongs to a computer?\n",
      "1909 ) What is the object in the top right of this image used for?\n",
      "1910 ) What object in this image is used for entering text?\n",
      "1911 ) Which device in the image can be used for entering text?\n",
      "1912 ) Which object that you do not see in this image is a special type of ball?\n",
      "1913 ) What can be found in a suburb that is present in this image?\n",
      "1914 ) What can be found in a suburb that is present in this image?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1915 ) Which object in this image is used for keeping food fresh?\n",
      "1916 ) Which object in this image is used for keeping food fresh?\n",
      "1917 ) Which kitchen appliance in this image is used to keep food fresh?\n",
      "1918 ) Which appliance in this image will you use to keep food fresh\n",
      "1919 ) Which object in this image is used to keep food fresh?\n",
      "1920 ) Which object in this image is capable of cooling warm food?\n",
      "1921 ) Which object in this image can be used for making ice?\n",
      "1922 ) Which object in this image is used for chilling food?\n",
      "1923 ) Which object in this image is used for chilling food?\n",
      "1924 ) Which object in this image is utilized to chill food\n",
      "1925 ) Where can you find a road?\n",
      "1926 ) which furniture does this place shown in this image has in the left part\n",
      "1927 ) Which object in this image is considered shelter?\n",
      "1928 ) Which object in this image is used for carry your personal item?\n",
      "1929 ) Which object in this image is used for transport clothe while on trip?\n",
      "1930 ) Which object in this image is used for transporting clothes while on trip?\n",
      "1931 ) Which object in this image desires trick others?\n",
      "1932 ) Which object in the image can trust a good friend?\n",
      "1933 ) Which object in this image is a writing or drawing tool?\n",
      "1934 ) Which object in this image is related to a birthday party?\n",
      "1935 ) What is this cake for?\n",
      "1936 ) Which sort of food in this image is related to a birthday party?\n",
      "1937 ) Which thing in this image can make people happy?\n",
      "1938 ) Which object is a popular american sports?\n",
      "1939 ) Which object in this image is capable of growing in knowledge?\n",
      "1940 ) What object is made of wood in the image?\n",
      "1941 ) Which animal in this image is a pet?\n",
      "1942 ) Which animal in this image is a pet?\n",
      "1943 ) What is one thing you might find in this place?\n",
      "1944 ) Which object in this image is a medical device?\n",
      "1945 ) Which object in this image belongs to the category Orthopedics?\n",
      "1946 ) Which animal in this image is capable of please it master?\n",
      "1947 ) What in this image can bark?\n",
      "1948 ) Which musical instrument can you see in this image?\n",
      "1949 ) Which object is related to jazz in this image?\n",
      "1950 ) What is the phylum of the animal in the image?\n",
      "1951 ) What in this image is related to cloth?\n",
      "1952 ) Which objects are wearing pairs of pants in this image?\n",
      "1953 ) Which animal shown in this image is mammal\n",
      "1954 ) What is the brass object in this image?\n",
      "1955 ) What is a part of an ocean?\n",
      "1956 ) Which object in this image belongs to the 1950s?\n",
      "1957 ) What object is likely to be found in restaurant?\n",
      "1958 ) Which object in this image can be found in a bar?\n",
      "1959 ) Which object is used for traveling around in this image?\n",
      "1960 ) What shown in this image is most specifically related to bikers?\n",
      "1961 ) Which object in this image can be found in the air?\n",
      "1962 ) Which kind of object can usually be found in the air?\n",
      "1963 ) Which object can we found in the air of this image\n",
      "1964 ) What is the object on the upside of the image used for?\n",
      "1965 ) Which object in this image can be found in the sky?\n",
      "1966 ) Which object can you find in the sky in this image?\n",
      "1967 ) Which object in this image can be found in the sky?\n",
      "1968 ) Which object in this image is a toy?\n",
      "1969 ) Which object in this image is a toy?\n",
      "1970 ) What toy can be found in the image?\n",
      "1971 ) What object can move heavy load?\n",
      "1972 ) Where was the image taken ?\n",
      "1973 ) What is the another name of this game?\n",
      "1974 ) Which instrument in this image has a slider?\n",
      "1975 ) What is the other colour of the this red object?\n",
      "1976 ) Which object in this image may be silver, yellow or red?\n",
      "1977 ) What thing in this image is most similar to chair\n",
      "1978 ) Which object in this picture is used on rainy days?\n",
      "1979 ) Which object in this image is used on rainy days\n",
      "1980 ) Which food is mostly dough, cheese and tomato?\n",
      "1981 ) What is the pizza in the woman's hand mostly contain?\n",
      "1982 ) Which object in this image has is mostly dough, cheese and tomato?\n",
      "1983 ) Which animal you can entertain by using this game?\n",
      "1984 ) What is a saxophone used for?\n",
      "1985 ) Which object in this image belongs to the category Food science?\n",
      "1986 ) What thing does the place shown in this image have as a part?\n",
      "1987 ) What thing in this image contains water?\n",
      "1988 ) Which object in this image can be found in birdbath?\n",
      "1989 ) Which object in this image belongs to the category of things related to Video?\n",
      "1990 ) Which object in this image is similar to a tortoise?\n",
      "1991 ) what kind of sports are people doing in this image?\n",
      "1992 ) What outdoor sport is showing in the image?\n",
      "1993 ) Which outdoor sport is shown here?\n",
      "1994 ) Which object in this image belongs to the category Toy animals?\n",
      "1995 ) Which object in this image belongs to Toy animals?\n",
      "1996 ) What toy animal is in the image?\n",
      "1997 ) What is the place in this image used for?\n",
      "1998 ) What is the place in this image used for?\n",
      "1999 ) What is one prominent architectural element pictured here?\n",
      "2000 ) Which object in this image has the property of being shaped like a doughnut?\n",
      "2001 ) What in this image has leaves?\n",
      "2002 ) which object in this image belongs to the category 'baked goods'?\n",
      "2003 ) which object in this image is made of grain\n",
      "2004 ) What kind of roll can one see here?\n",
      "2005 ) which object in this image is a donut shaped roll?\n",
      "2006 ) Which object in this image is a doughnut shaped roll?\n",
      "2007 ) What object in this image is a toy?\n",
      "2008 ) Which object in this image is a toy?\n",
      "2009 ) Which object in this image is a toy?\n",
      "2010 ) What object in this image is a container?\n",
      "2011 ) Which object in this image is used for swimming in?\n",
      "2012 ) What is the domesticated animal in this image?\n",
      "2013 ) Which object in this image is like a plate?\n",
      "2014 ) What object in this image is a type of sports equipment?\n",
      "2015 ) What object in this image is fun?\n",
      "2016 ) Which object in this image might occur in a nightmare?\n",
      "2017 ) which activity is harder than that shown in this image\n",
      "2018 ) What action in the image is easier than sailing?\n",
      "2019 ) Which object in this image is capable of staining your pants?\n",
      "2020 ) Which object in this image is capable of staining your pants?\n",
      "2021 ) Which object in this image can be found in grass?\n",
      "2022 ) Where does the animal in this image usually can be found in?\n",
      "2023 ) Which object in this image is legless?\n",
      "2024 ) Which object in this image can bite?\n",
      "2025 ) Which object in this image is a reptile with long narrow body and no leg?\n",
      "2026 ) which object in this image is capable of eating vegetables?\n",
      "2027 ) Which animal in this image can be found in rainforest?\n",
      "2028 ) What in this image can be found in tall moist grass new england specie?\n",
      "2029 ) What instrument is in the man's mouth?\n",
      "2030 ) What is one thing that the object on the left hand side of this image has as a part?\n",
      "2031 ) Which object in this image can be found at street corners?\n",
      "2032 ) What particular two wheeled vehicle is seen here?\n",
      "2033 ) what are the people palying in the image?\n",
      "2034 ) which object in this image is better than peanut?\n",
      "2035 ) where is this place?\n",
      "2036 ) What object in this image is faster than bus?\n",
      "2037 ) Which object in this image is human powered?\n",
      "2038 ) which object in this image can talk\n",
      "2039 ) Which kind of liquid can be found in this image?\n",
      "2040 ) What object belongs to art of Spain?\n",
      "2041 ) which object in this image can hear the radio for news\n",
      "2042 ) Which object in this image can be found in India?\n",
      "2043 ) What you likely to find in a bathroom?\n",
      "2044 ) Which object in this image is related to wood?\n",
      "2045 ) What animal in the image can follow its master?\n",
      "2046 ) Which animal in this image follow it master?\n",
      "2047 ) Which object in the image can follow its master?\n",
      "2048 ) Which object in this image can be found in a building?\n",
      "2049 ) Which object in this image belongs to the category Food?\n",
      "2050 ) Which object in this image belongs to the category Food?\n",
      "2051 ) What is chopped in this image and belongs to the category food?\n",
      "2052 ) Which objects in this image are considered as food?\n",
      "2053 ) Which object in this image belongs to the category Food?\n",
      "2054 ) Which animal in this picture is known for its curiosity?\n",
      "2055 ) What object can be used to sail across sea?\n",
      "2056 ) What object in this image is used for signaling danger?\n",
      "2057 ) which object can we see at the sea\n",
      "2058 ) What is the place in this image capable of?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2059 ) What is the place in this image capable of?\n",
      "2060 ) Normally what animal likes this vegetable most?\n",
      "2061 ) Which object in this image is the most related to rabbit\n",
      "2062 ) What object in this image is a common pet?\n",
      "2063 ) What is the white round thing in the image used for?\n",
      "2064 ) Which object in this image can be used for display something?\n",
      "2065 ) what object in this image is game equipment?\n",
      "2066 ) What's the knife being used for?\n",
      "2067 ) How to make sound for this instrument?\n",
      "2068 ) What in this image belongs to the category Hominini?\n",
      "2069 ) What inefficient mode of transportation can one observe in this image?\n",
      "2070 ) Which object in this image belongs to the category Food and drink?\n",
      "2071 ) Which object in this image belongs to the category Foods?\n",
      "2072 ) Can you identify any type of food in this image?\n",
      "2073 ) What activity is the place used for?\n",
      "2074 ) What is the place in this image used for?\n",
      "2075 ) what place is this shown in this picture\n",
      "2076 ) What is the place in this image used for?\n",
      "2077 ) Which objects do you expect to find in a baseball field?\n",
      "2078 ) What can be found in a baseball field?\n",
      "2079 ) which object in this image can we find in the baseball field\n",
      "2080 ) What popular sport in America is in this image?\n",
      "2081 ) Which  sport in this image is a popular in america?\n",
      "2082 ) what sports described in the image is popular in America\n",
      "2083 ) What can you cook with ?\n",
      "2084 ) Which kind of indoor sports are they playing?\n",
      "2085 ) Which kind of indoor sports are they playing?\n",
      "2086 ) Which object in this image has a wrist?\n",
      "2087 ) Where should flowers be placed in this image?\n",
      "2088 ) Which object in this image can hold flowers?\n",
      "2089 ) What object can be found in winter?\n",
      "2090 ) Which season does the place in this image can be found in?\n",
      "2091 ) Which object in this image has ball bearings?\n",
      "2092 ) Which object in this image has ball bearings?\n",
      "2093 ) Which object in this image has ball bearings\n",
      "2094 ) Which object in this image desires trick others?\n",
      "2095 ) Which object in this image belongs to the category Safety?\n",
      "2096 ) Which object in this image belongs to the class Mobile telephony?\n",
      "2097 ) which object in this image is capable of selling items?\n",
      "2098 ) What object is falling from sky?\n",
      "2099 ) which animal in this image is taller than ant?\n",
      "2100 ) Which thing in this image is used in an hourglass?\n",
      "2101 ) Which object in this image is used for write down information?\n",
      "2102 ) Which object in this image has ink in it?\n",
      "2103 ) Which object in this image provides a useful surface?\n",
      "2104 ) what thing is generally more expensive than desktop in this image?\n",
      "2105 ) which object in this image is much more popular than desktop\n",
      "2106 ) which object in this image is lighter than car?\n",
      "2107 ) Whether the vehicle is lighter or heavier than car?\n",
      "2108 ) Which sports equipment is shown in the image?\n",
      "2109 ) Which sports equipment is shown in the image?\n",
      "2110 ) Which sports equipment is shown in the image?\n",
      "2111 ) Which sports equipment is shown in the image?\n",
      "2112 ) Which sports equipment is shown in the image?\n",
      "2113 ) Which sports equipment is shown in the image?\n",
      "2114 ) what object in this imgae is a type of food?\n",
      "2115 ) Which object in this image is a kind of Food?\n",
      "2116 ) which object in this image contains potassium?\n",
      "2117 ) ￼Which object in this image is high in potassium?\n",
      "2118 ) which object in this image is a type of fruit?\n",
      "2119 ) What fruit can be seen in this image?\n",
      "2120 ) Which object in this image is yellow?\n",
      "2121 ) Which object in this image is yellow?\n",
      "2122 ) Which food in this image has the property of yellow?\n",
      "2123 ) which object in this image is a type of fruit?\n",
      "2124 ) which object in this image is a food or drink?\n",
      "2125 ) Which object in this image is a musical instrument?\n",
      "2126 ) Which object in this image has valves?\n",
      "2127 ) Which object in this image is used for carrying clothing on vacation?\n",
      "2128 ) Which object in this image is used to carry clothing on vacation?\n",
      "2129 ) Which object in this image is used for carrying clothes on vacation?\n",
      "2130 ) Which Consumer electronics product is shown in this image ?\n",
      "2131 ) Which food in this image is a finger food?\n",
      "2132 ) Which object in this image is a kind of finger food?\n",
      "2133 ) Which object in this image has four wheels?\n",
      "2134 ) Which vehicle in this photo has four wheels\n",
      "2135 ) which object in this image likes watching TV?\n",
      "2136 ) which object in this image is capable of planting a tree?\n",
      "2137 ) which object in this image is capable of laughing at others?\n",
      "2138 ) which object in this image is capable of viewing a picture?\n",
      "2139 ) which object in this image can view a picture?\n",
      "2140 ) which object in this image can learn to read?\n",
      "2141 ) which object in this image is capable of purchasing an item with cash?\n",
      "2142 ) Which food in this image belongs to the category Italy?\n",
      "2143 ) Which food in this image is created by dough tomato sauce and mozzarella cheese?\n",
      "2144 ) Which object in this image can be created with dough, tomato sauce and mozzarella cheese?\n",
      "2145 ) Which object in this image is made with dough, tomato sauce and mozzarella cheese?\n",
      "2146 ) Which musical instrument in this image belongs to the category String instrument?\n",
      "2147 ) Which object in this image is used for make music?\n",
      "2148 ) What is used to navigate for this animal?\n",
      "2149 ) Which object in this image is used for carry your thing while travel?\n",
      "2150 ) Which object in this image is used to carry your things while travelling?\n",
      "2151 ) What can be found in an airport terminal?\n",
      "2152 ) Which object in this image is used for packing clothes for a trip?\n",
      "2153 ) Which object in the image can be both tools and weapons?\n",
      "2154 ) What is the device in the image used for?\n",
      "2155 ) What is the electronic appliance in this image used for?\n",
      "2156 ) What thing in the image likes to chase birds?\n",
      "2157 ) What object has engine?\n",
      "2158 ) What key thing does the object in the centre of this image have as a part?\n",
      "2159 ) Which object in this image has an engine?\n",
      "2160 ) Which thing in this image is capable of seeing?\n",
      "2161 ) Which object in this image is related to tie?\n",
      "2162 ) Which object in this image can be found in a sporting goods store?\n",
      "2163 ) Which object in this image can be found at an archery range?\n",
      "2164 ) Which object in this image can be found in wind?\n",
      "2165 ) Which object in this image flies in the wind?\n",
      "2166 ) Which object in this image flies in a brisk wind?\n",
      "2167 ) Which object in this image can be flown in brisk wind?\n",
      "2168 ) What object has white and black keys?\n",
      "2169 ) What thing in this image has white and black keys\n",
      "2170 ) Which object in this image has stinky breath?\n",
      "2171 ) Which object in this image ages faster than humans?\n",
      "2172 ) What object in this image is smaller than a horse?\n",
      "2173 ) What object in this image is smaller than a horse?\n",
      "2174 ) What object in this image is used to provide shade?\n",
      "2175 ) what color is the scene shown in this image\n",
      "2176 ) Which object in this image is never lighter than air?\n",
      "2177 ) What can we found on the surface of the ocean in this image?\n",
      "2178 ) What object in the image is used for rest.\n",
      "2179 ) What is the class of the animal in this image?\n",
      "2180 ) which transport in this image is less cheap than bus?\n",
      "2181 ) which tranport in this image is less great than climate change?\n",
      "2182 ) Which food shown here is softer than a plantain?\n",
      "2183 ) What red fruit is in this image?\n",
      "2184 ) Which fruit in this image is related to red fruit?\n",
      "2185 ) What is the name of the place the animal living in?\n",
      "2186 ) Whether the game in the image is a fast action or slow action one?\n",
      "2187 ) What kind of products do the animal in the image can produce?\n",
      "2188 ) What property do snow have?\n",
      "2189 ) What object in this image is used to hold flowers?\n",
      "2190 ) Which country invented the food in the image?\n",
      "2191 ) Which dish in this image belongs to the category Italian cuisine?\n",
      "2192 ) Which will you choose for lighting a room\n",
      "2193 ) What is the metal thing is used for?\n",
      "2194 ) which object in this image  often occurs in the crossroad\n",
      "2195 ) Which object in this image can be found at a crossroads?\n",
      "2196 ) Which object in this image is for flying?\n",
      "2197 ) Which object in this image is a kind of Aircraft?\n",
      "2198 ) What grows in the place shown in the background?\n",
      "2199 ) What object in this image has a string?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2200 ) What object in the centre of this image have as a part?\n",
      "2201 ) which object in this image is often used for carrying passenger\n",
      "2202 ) Which object in this image is capable of carrying passengers?\n",
      "2203 ) Which object in this image is capable of carrying passengers?\n",
      "2204 ) What object in this image is capable of carrying passengers?\n",
      "2205 ) Which vehicles have the property of crowd during rush hour?\n",
      "2206 ) Which object in this image is used for travel around town?\n",
      "2207 ) Which vehicles in this image is a common type for public transportation?\n",
      "2208 ) Which object in this image belongs to a common type fo public transportation?\n",
      "2209 ) Which object in this image is a musical instrument?\n",
      "2210 ) Which object in this image is related to pianist?\n",
      "2211 ) Which object in this image can keep water in it?\n",
      "2212 ) Which object in this image is a wide chair?\n",
      "2213 ) What is the fruit in the image?\n",
      "2214 ) Which object in this image is a vessel?\n",
      "2215 ) Which object in this image can be used for stirring?\n",
      "2216 ) Which object in this image has hair?\n",
      "2217 ) Which object in this image does a dog have?\n",
      "2218 ) which object in this image is smaller than car?\n",
      "2219 ) Which object in this image is related to ballast?\n",
      "2220 ) Which object in this image can be found in the ocean?\n",
      "2221 ) Which object can seat passenger in this image?\n",
      "2222 ) Which object in this image belongs to the category Protective gear?\n",
      "2223 ) What item of protective gear is in this image?\n",
      "2224 ) Which object in this image is a kind of photographic equipment and supplies?\n",
      "2225 ) Which object in this image is a kind of photographic equipment?\n",
      "2226 ) Which object in this image is a kind of photographic equipment?\n",
      "2227 ) Which object in this image is a kind of photographic equipment?\n",
      "2228 ) Which object in this image is a kind of photographic equipment?\n",
      "2229 ) Which object in this image is a kind of photographic equipment and supplies?\n",
      "2230 ) what kind of activity can people do in the place in this image\n",
      "2231 ) What is the place in this image can be used for?\n",
      "2232 ) What object in this image is used for play song?\n",
      "2233 ) What instrument in this image is a wind instrument?\n",
      "2234 ) What can be found in this racecourse?\n",
      "2235 ) What can be found in this racecourse?\n",
      "2236 ) Which object in this image is round?\n",
      "2237 ) Which object in this image is round?\n",
      "2238 ) What is being thrown that is also round?\n",
      "2239 ) What is the round object in this image?\n",
      "2240 ) Which object in this image is round?\n",
      "2241 ) Which object in this image is round?\n",
      "2242 ) What is the name of the sports equipment shown in this image?\n",
      "2243 ) What kind of sports equipment is presented in the image?\n",
      "2244 ) What object in this image is a type of sports equipment?\n",
      "2245 ) What object in this image has a keyboard?\n",
      "2246 ) Which object in this image has a keyboard?\n",
      "2247 ) What is on the instrument?\n",
      "2248 ) Which thing in the in the image can make people dance?\n",
      "2249 ) Tell me the name of the toy in this image?\n",
      "2250 ) Which object in this image is a toy?\n",
      "2251 ) What is the toy in the image?\n",
      "2252 ) Which object in this image is heavier than air?\n",
      "2253 ) Which object in this image is a gymnastics apparatus?\n",
      "2254 ) Which object in this image is a gymnastics apparatus?\n",
      "2255 ) Which apparatus is this gymnast performing on?\n",
      "2256 ) Which object in this image is a type of gymnastics apparatus?\n",
      "2257 ) Which object in this image is a gymnastics apparatus?\n",
      "2258 ) which object in this image can be used in gymnastics\n",
      "2259 ) Which object in this image is a gymnastics apparatus?\n",
      "2260 ) Which object in this image is sweet?\n",
      "2261 ) Which object in this image is sweet?\n",
      "2262 ) Which object in this image is sweet?\n",
      "2263 ) Which object in this image is a common aquatic pet?\n",
      "2264 ) Which object in this image is typically found in water?\n",
      "2265 ) which object in this image is blinder than normal car?\n",
      "2266 ) What thing on the mountain in the image?\n",
      "2267 ) Which object in this image is capable of pulling a car?\n",
      "2268 ) Which object in this image belongs to the Winter Olympic Games?\n",
      "2269 ) Which object in this image belongs to the category Winter Olympic Games?\n",
      "2270 ) What kind of Olympic sports is presented in this image ?\n",
      "2271 ) Which object in this image is a kind of sport equipment?\n",
      "2272 ) Which object in this image is a winter sport equipment?\n",
      "2273 ) Which object in this image belongs to the category Winter Olympic sports?\n",
      "2274 ) Which object in this image is related to moto cross?\n",
      "2275 ) which object in the image is related to ground\n",
      "2276 ) which object in this image can be used to guide the blind for walking\n",
      "2277 ) What object in this image might be able to guide a blind person?\n",
      "2278 ) Which object in this image is created by pizza store?\n",
      "2279 ) Which object in this image is delicious?\n",
      "2280 ) Which object in this image is good to eat?\n",
      "2281 ) What is the name of the longest fruit in the image\n",
      "2282 ) What thing does the place shown in this image have as a part?\n",
      "2283 ) What can be found in this place?\n",
      "2284 ) Which object in this image wants love, money and respect?\n",
      "2285 ) What in this image can be found on beach\n",
      "2286 ) which object in this image is larger than anteater?\n",
      "2287 ) Where does the vehicle in the middle of this image can be found in?\n",
      "2288 ) Where does the vehicle in the middle of this image can be found in?\n",
      "2289 ) Which object in this image is a ruminant?\n",
      "2290 ) What in this image is a subclass of ruminant?\n",
      "2291 ) Which object in this image has a hump?\n",
      "2292 ) Which object in this image has a hump\n",
      "2293 ) Which object in this image is a narrow band of fabric?\n",
      "2294 ) Which object in this image is a large mammal that lives in dry areas?\n",
      "2295 ) What kind of the fruit in the image used in cooking?\n",
      "2296 ) Which object in this image belongs to the category Zebras?\n",
      "2297 ) What vegetable in this image can be cooked?\n",
      "2298 ) What vegetable in this image can be cooked?\n",
      "2299 ) What vegetable in this image can be cooked?\n",
      "2300 ) What vegetable in this image can be cooked?\n",
      "2301 ) What vegetable in this image can be cooked?\n",
      "2302 ) What vegetable in this image can be cooked?\n",
      "2303 ) What vegetable in this image can be cooked?\n",
      "2304 ) What vegetable in this image can be cooked?\n",
      "2305 ) Which vegetable in this image is to cook?\n",
      "2306 ) What is the object in the lower left of the image for?\n",
      "2307 ) Why the fruit in the image is good for the baby?\n",
      "2308 ) Which thing in the image contains vitamin C?\n",
      "2309 ) what object in this image is an electronic device?\n",
      "2310 ) What thing in the image is related to radio frequency?\n",
      "2311 ) Which thing in the image can hunt?\n",
      "2312 ) what object in this image is very young?\n",
      "2313 ) Whether the instrument in the image is a light or heavy instrument?\n",
      "2314 ) What do you need in your hand if you want to fly this thing?\n",
      "2315 ) What object in this image is created by fermenting grapes?\n",
      "2316 ) What kind is a cellphone belongs\n",
      "2317 ) What is the woolly livestock?\n",
      "2318 ) Which object in this image is a tool for taking picture?\n",
      "2319 ) Which object in this image can do calculation\n",
      "2320 ) what thing is less aggressive than wasp in this image?\n",
      "2321 ) Which object in this image can run programs rapidly?\n",
      "2322 ) Which object in this image is a vegetable?\n",
      "2323 ) Which object in this image is a vegetable?\n",
      "2324 ) What is the green, spiny vegetable in this image?\n",
      "2325 ) Which object in this image is a green spiny vegetable?\n",
      "2326 ) Which object in this image might be used as a cocktail garnish?\n",
      "2327 ) Which object in this image is related to visual display unit?\n",
      "2328 ) Which object in this image is a visual display unit?\n",
      "2329 ) Which place is more human than the place shown in this image\n",
      "2330 ) Which object in this image is a kind of American Cuisine ?\n",
      "2331 ) which object in this image is capable of hiding by going into it's shell?\n",
      "2332 ) What can be found in this place?\n",
      "2333 ) which object in this image has a hard protective shell?\n",
      "2334 ) Which object in this image has a hard protective shell？\n",
      "2335 ) which object in this image has a shell?\n",
      "2336 ) What does the animal at the bottom of this image have as a part?\n",
      "2337 ) What is on the back of this animal?\n",
      "2338 ) which fruit is bigger than the fruit on the right of this image?\n",
      "2339 ) which kind of fruit in this image is smaller than watermellon\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2340 ) Which object in this image is a good pet?\n",
      "2341 ) Which object in this image is a carp?\n",
      "2342 ) Which object in this image is a musical instrument with many strings?\n",
      "2343 ) What thing can be found in this image is a musical instrument with many strings?\n",
      "2344 ) which object in this image can be used for travelling across water?\n",
      "2345 ) what is the large object in the center of the image used for?\n",
      "2346 ) what is the large object in the center of the image used for?\n",
      "2347 ) which object in this image can be used to travel across water?\n",
      "2348 ) Which object in this image can be powered by an engine?\n",
      "2349 ) Which object in this image can be powered by an engine?\n",
      "2350 ) Which object in this image is a kind of bread?\n",
      "2351 ) Whether the fruit in the image has seed or not?\n",
      "2352 ) Which instrument in this image can be fold up?\n",
      "2353 ) What is the meat of the animal called?\n",
      "2354 ) What is the eight-sided object in this image?\n",
      "2355 ) Which object in this image is an eight sided object?\n",
      "2356 ) What is shape of the red and white object?\n",
      "2357 ) Which object is used for banging out rhythms in this image?\n",
      "2358 ) What the stick type object in the image is sued for?\n",
      "2359 ) What is lotion used for?\n",
      "2360 ) Which objects in this image are thought to be Kitchenware?\n",
      "2361 ) What thing in this image belongs to the category Kitchenware?\n",
      "2362 ) Which object in this image belongs to the category Kitchenware?\n",
      "2363 ) Cup size is related to which object in this image?\n",
      "2364 ) Which object in this image can be used for ice cream?\n",
      "2365 ) Which object in this image is capable of grow branch?\n",
      "2366 ) What object in this image is used to go to a distant place?\n",
      "2367 ) What object in this image is used to go to a distant place?\n",
      "2368 ) Which object in this image could be used to go to distant places?\n",
      "2369 ) Which object in this image is used for pack?\n",
      "2370 ) What object in the image is used to store stuff?\n",
      "2371 ) What things in this image are edible?\n",
      "2372 ) Which object in this image is a round fruit?\n",
      "2373 ) Which object is used for cut flesh in this image?\n",
      "2374 ) Which object in this image has strings?\n",
      "2375 ) Which object in this image has strings?\n",
      "2376 ) Which object in this image is used to seperate things?\n",
      "2377 ) Which object in this image is a musical instrument?\n",
      "2378 ) Which object in this image is a musical instrument?\n",
      "2379 ) Which object in this image is a musical instrument?\n",
      "2380 ) What is one thing which the place seen here can be used for?\n",
      "2381 ) what's size of the fish?\n",
      "2382 ) Which object in this image is short for television?\n",
      "2383 ) Which object in this image contains a button\n",
      "2384 ) Which spectator sport is shown in this image?\n",
      "2385 ) What can be found in a kitchen?\n",
      "2386 ) Which object in this image is capable of keeping ice cold?\n",
      "2387 ) Which object in this image is used for keeping food cold?\n",
      "2388 ) What is the object in the left of this image used for?\n",
      "2389 ) Which object in this image is used for cooking food fast?\n",
      "2390 ) Which object in this image is used for cooking food fast?\n",
      "2391 ) Which object in this image is used for cooking food fast?\n",
      "2392 ) Which appliance would you use to cook food quickly?\n",
      "2393 ) Which object in this image is used to cook food fast?\n",
      "2394 ) Which object in this image can be used to roast a turkey?\n",
      "2395 ) Which object in this image is used for roasting?\n",
      "2396 ) Which object in this image is used for eat pie?\n",
      "2397 ) Which animal in this image is able to carry goods?\n",
      "2398 ) Which object in this image is strong enough to carry people?\n",
      "2399 ) Which object in this image is a very trainable animal?\n",
      "2400 ) ￼Which object in this image is a very trainable animal?\n",
      "2401 ) which object in this image is less sweet than strawberry?\n",
      "2402 ) What type of garden plants is shown in this image?\n",
      "2403 ) Is there any object in the image capable of feeling happy?\n",
      "2404 ) Which object in this image is capable of running faster than most humans?\n",
      "2405 ) Which object in this image belongs to the category Toy?\n",
      "2406 ) which object in this image is stronger than horse?\n",
      "2407 ) What object in this image is stronger than a horse?\n",
      "2408 ) Which object in this image is a stringed musical instrument?\n",
      "2409 ) what can we observe in the place shown in this image\n",
      "2410 ) What can the place in this image be used for?\n",
      "2411 ) Which vehicle in this image can be found in street corner?\n",
      "2412 ) which object in this image can drink water?\n",
      "2413 ) which object in this image can learn to fetch things?\n",
      "2414 ) which object in this image can be a companion?\n",
      "2415 ) Which object in this image is a citrus fruit?\n",
      "2416 ) Which fruit in this image is a citrus?\n",
      "2417 ) What object in this image is a kind of citrus?\n",
      "2418 ) Which object in this image is a citrus fruit?\n",
      "2419 ) Which object in this image is related to citrus fruit?\n",
      "2420 ) Which object in this image is a citrus fruit?\n",
      "2421 ) which device in this image is more prevalent than computer?\n",
      "2422 ) Which object in this image belongs to the category Sports?\n",
      "2423 ) which object in this image has a nose?\n",
      "2424 ) which object in this image has a nose?\n",
      "2425 ) ￼Which object in this image has a nose?\n",
      "2426 ) Which object in this image is a stringed musical instrument?\n",
      "2427 ) What can you found in this image is a string musical instrument?\n",
      "2428 ) Which object in this image is related to mug?\n",
      "2429 ) Which object in this image may be used for boiling water?\n",
      "2430 ) What animal in the image can jump very high?\n",
      "2431 ) What objects in this image might have nose rings?\n",
      "2432 ) Which object in this image is a Herbivorous animal?\n",
      "2433 ) What do cows belong to\n",
      "2434 ) What is the area in this image used for?\n",
      "2435 ) What can be found in this place?\n",
      "2436 ) What can likely be found in this place?\n",
      "2437 ) What objects in this image might live in a barn?\n",
      "2438 ) Which object in this image likes to chew on things?\n",
      "2439 ) which object in this image can be found in a zoo\n",
      "2440 ) Which object in this image can be found in zoo?\n",
      "2441 ) Which object in this image can be found in a zoo?\n",
      "2442 ) Which object in this image can be found in zoo?\n",
      "2443 ) Which object in this image has armrests?\n",
      "2444 ) Which animal in this image likes to chew on bones?\n",
      "2445 ) Which animal in this image like to chew on bones?\n",
      "2446 ) Which animal in this image likes to chew on bones?\n",
      "2447 ) Which object in this image is a Asian cuisine?\n",
      "2448 ) Which object in this image has a keel?\n",
      "2449 ) Which object in this image is a primate?\n",
      "2450 ) Which object in this image can be found in a zoo or tropical forest?\n",
      "2451 ) Which object in this image is capable of using tools?\n",
      "2452 ) Which object in this image can be found in the treetops?\n",
      "2453 ) which object in this image often can be used in a kind of outdoor recreation\n",
      "2454 ) Which objects in the image are considered large animals?\n",
      "2455 ) Which object in this image is a large animal?\n",
      "2456 ) Which object in this image is a large animal?\n",
      "2457 ) Which object in this image has four legs\n",
      "2458 ) Which object in this image is related to sauce?\n",
      "2459 ) What object in this image can be used to make sauce?\n",
      "2460 ) Which object in this image is used in a bloody mary?\n",
      "2461 ) Which object in this image is used for hit with tennis racket?\n",
      "2462 ) What is the object on the right used for?\n",
      "2463 ) What object in this image is hit with a racket?\n",
      "2464 ) Which object in this image belongs to Sports originating in England?\n",
      "2465 ) Which animal in this image is a pet?\n",
      "2466 ) Which object in this image is used for play tennis?\n",
      "2467 ) what small round object in this image is used for playing tennis?\n",
      "2468 ) Which thing in this image likes to play frisbee?\n",
      "2469 ) Which object in this image is capable of detect odor much better than human can?\n",
      "2470 ) Which fruit in the image is more perishable?\n",
      "2471 ) What is the cake for?\n",
      "2472 ) Which object in this image is used for birthday?\n",
      "2473 ) This game is most populate in which country?\n",
      "2474 ) This game is most popular in which country?\n",
      "2475 ) Normally where can you find this stuff?\n",
      "2476 ) How many times you should use this stuff?\n",
      "2477 ) Which country invented the stuff that in the image?\n",
      "2478 ) Where can you buy this stuff?\n",
      "2479 ) What is a plate used for?\n",
      "2480 ) What eight-sided object is visible in this image?\n",
      "2481 ) What is the metal thing is used for?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2482 ) Which object in this image is used for cooking\n",
      "2483 ) What is the left white object used for?\n",
      "2484 ) What in the image is used for sandpainting?\n",
      "2485 ) What are the furry animals?\n",
      "2486 ) Which object in this image is capable of run?\n",
      "2487 ) Which object in this image is capable of run?\n",
      "2488 ) Which object in this image is capable of run?\n",
      "2489 ) What thing does the place shown in this image have as a part?\n",
      "2490 ) which object in this image is a kind of sandwich and fun to eat?\n",
      "2491 ) What food in the image has many different toppings?\n",
      "2492 ) Which object in this image can have many different toppings?\n",
      "2493 ) Which object in this image is used for making lovely music?\n",
      "2494 ) Which object in this image belongs to the category Botany?\n",
      "2495 ) Which object in this image can be found at an intersection?\n",
      "2496 ) Which container is shown in this image ?\n",
      "2497 ) which object in this image can be used as a container\n",
      "2498 ) What in this image belongs to the category Syntactic entities?\n",
      "2499 ) What in this image belongs to the category Syntactic entities?\n",
      "2500 ) Which object in this image is related to yellow light?\n",
      "2501 ) What in this image is a machine?\n",
      "2502 ) What in this image belongs to the category Land transport?\n",
      "2503 ) What category of animal is in the image?\n",
      "2504 ) Which object in this image can move very fast or very slow?\n",
      "2505 ) Which object in this image is used for mass transit?\n",
      "2506 ) Which object in this image is a large vehicle?\n",
      "2507 ) Which automobile in the image is a large vehicle?\n",
      "2508 ) which food in this image is intrinsically healthier than hamburger?\n",
      "2509 ) Which object in this image belongs to the category Single-board computers?\n",
      "2510 ) Which object in this image is a table for work on?\n",
      "2511 ) Which object in this image is a table for working?\n",
      "2512 ) Which object in this image is a wind instrument for make music?\n",
      "2513 ) What can be found in this music studio?\n",
      "2514 ) What can be found in this room?\n",
      "2515 ) What electronic device in the image is cheaper than car?\n",
      "2516 ) What object in this image can be found in a warm ocean?\n",
      "2517 ) Which object in this image can be found in most oceans?\n",
      "2518 ) What object in this image can be used to sleep on?\n",
      "2519 ) What animal can be found in water in the image?\n",
      "2520 ) Which object in this image is a large piece of cloth?\n",
      "2521 ) What object in this image is a living thing?\n",
      "2522 ) What can be found in this place?\n",
      "2523 ) Which object in this image can be found in public aquarium?\n",
      "2524 ) Which species shown in this image is capable of grooming one another?\n",
      "2525 ) What is the name of the vehicle in the middle of the image\n",
      "2526 ) which object in this image belongs to the category 'marine animals'?\n",
      "2527 ) which object in this image belongs to the category 'marine animals'?\n",
      "2528 ) which object in this image is an animal?\n",
      "2529 ) which object in this image is related to 'Moby-Dick'\n",
      "2530 ) which object in this image is related to whale watching?\n",
      "2531 ) which object in this image can be found in the sea?\n",
      "2532 ) Which action is quicker than the action shown in this image\n",
      "2533 ) which object in this image is capable of swimming?\n",
      "2534 ) Which instrument in this image is played with a bow?\n",
      "2535 ) Which instrument in this image is played with a bow?\n",
      "2536 ) Which object in this image is a beverage?\n",
      "2537 ) Which object in this image is usually sharp on one side and dull on the other?\n",
      "2538 ) Which object in this image is used for cutting meat?\n",
      "2539 ) Which object in this image has strings that vibrate?\n",
      "2540 ) Which object in this image has frets?\n",
      "2541 ) Which object in this image is a percussive instrument?\n",
      "2542 ) What is the metal thing in the image used for?\n",
      "2543 ) Which animal is the most related to tiger\n",
      "2544 ) Which animal is related to wolf?\n",
      "2545 ) Where can find the frisbee?\n",
      "2546 ) What is volleyball used for\n",
      "2547 ) Where the animal is laying on?\n",
      "2548 ) Which object in this image can keep food cold?\n",
      "2549 ) Which object in this image can warm up your coffee?\n",
      "2550 ) Which object in this image is used for freezing food?\n",
      "2551 ) Which object in this image is used for freezing food?\n",
      "2552 ) What belongs to public services?\n",
      "2553 ) Which object in this image might be used for holding cranberries?\n",
      "2554 ) Which object in this image is for Transportation?\n",
      "2555 ) Which object in this image belongs to the category Game equipment?\n",
      "2556 ) what object in this image is a musical instrument?\n",
      "2557 ) Where is bench found at?\n",
      "2558 ) What is the fluffy white things in the image?\n",
      "2559 ) Where can you find this situation?\n",
      "2560 ) Which object is used for data entry?\n",
      "2561 ) Where is the clock?\n",
      "2562 ) Who in the image can number objects?\n",
      "2563 ) What is the function of this product?\n",
      "2564 ) What is this room can be used for?\n",
      "2565 ) which object in this image is a form of human powered transportation?\n",
      "2566 ) What human powered transportation device is seen in this image?\n",
      "2567 ) Which vegetable in this image can be found on a pizza?\n",
      "2568 ) which object in this image has two wheels?\n",
      "2569 ) which object in this image is capable of painting a picture?\n",
      "2570 ) which object in this image is capable of drawing a picture?\n",
      "2571 ) which object in this image belong to the category 'cycling equipment'?\n",
      "2572 ) Which vehicle in this image is capable of travel over water?\n",
      "2573 ) which object in this image can be used for travelling over water\n",
      "2574 ) Which object in this image is capable of sensing danger?\n",
      "2575 ) which object in this image is a two wheeled method of transport?\n",
      "2576 ) which object in this image is related to 'fleece'?\n",
      "2577 ) Which object in this image is related to fleece?\n",
      "2578 ) Which object in this image has fleece?\n",
      "2579 ) which object in this image belongs to the category 'livestock'?\n",
      "2580 ) which object in this image in an animal?\n",
      "2581 ) Which object in this image is used for pry?\n",
      "2582 ) Which object in this image is used for eating food that isn't very solid?\n",
      "2583 ) which object in this image has a fuel tank?\n",
      "2584 ) Which object in this image has the property of black and white?\n",
      "2585 ) What is the color of the animal shown in this image?\n",
      "2586 ) Which object in this image is black and white?\n",
      "2587 ) What shown here is black and white?\n",
      "2588 ) which object in this image is black and white?\n",
      "2589 ) Which object in this image is black and white?\n",
      "2590 ) Which objects in this image are black and white?\n",
      "2591 ) what is the black and white object in this image?\n",
      "2592 ) Which object in this image has the property of black and white?\n",
      "2593 ) What are the black and white objects in this image?\n",
      "2594 ) Which object in this image is black and white?\n",
      "2595 ) Which object in this image belongs to the category Mammal families?\n",
      "2596 ) Which object in this image is used for holding soup?\n",
      "2597 ) What can be found in this place?\n",
      "2598 ) What can be found in this place?\n",
      "2599 ) What can be found in this place?\n",
      "2600 ) Which object in this image is related to selective yellow?\n",
      "2601 ) What in this image may be related to high fiving?\n",
      "2602 ) In this image, which object belongs to the category Balls?\n",
      "2603 ) Which object in this image can cause repetitive strain injury?\n",
      "2604 ) Which vehicle is included in this image?\n",
      "2605 ) Which object in this image is related to trumpet?\n",
      "2606 ) Which tennis equiptment is shown in this image?\n",
      "2607 ) which object in this image can have kittens?\n",
      "2608 ) which object in this image has two ears?\n",
      "2609 ) How would you describe the weather condition?\n",
      "2610 ) What property does the place in this image have?\n",
      "2611 ) Where does this place in the image can be found?\n",
      "2612 ) Which object in this image is capable of illuminating?\n",
      "2613 ) Which object in this image is able to heat meal?\n",
      "2614 ) Which thing in this image desires life and liberty?\n",
      "2615 ) which object in this image is related to 'pet'?\n",
      "2616 ) Which object in this image is a confection of Jewish ethnic origin?\n",
      "2617 ) What can be found in this place?\n",
      "2618 ) Which animal in this image has an excellent balance?\n",
      "2619 ) Which animal is smaller than the animal at the bottom of this image?\n",
      "2620 ) Which animal is smaller than the animal at the bottom of this image?\n",
      "2621 ) What can be found in this image belongs to gymnastics apparatus?\n",
      "2622 ) Which object in this image is most closely related to picture rails?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2623 ) What is related to tennis in this image?\n",
      "2624 ) Which object in this image is related to balls?\n",
      "2625 ) What is one item of tennis equipment in this image?\n",
      "2626 ) Which object in this image is used for playing bluegrass music?\n",
      "2627 ) Which object in this image is used for playing bluegrass music?\n",
      "2628 ) which object in this image is capable of tasting food?\n",
      "2629 ) what object in this image is capable of eating food?\n",
      "2630 ) which object in this image is capable of owning a cat as a pet?\n",
      "2631 ) which object in this image is capable of owning a cat?\n",
      "2632 ) what object in this image is capable of smelling a flower?\n",
      "2633 ) Which object is related to tennis?\n",
      "2634 ) Which place is better than the place shown in this image\n",
      "2635 ) What is the place in this image able of?\n",
      "2636 ) What is the place in this image able of?\n",
      "2637 ) Which object in this image is related to bedroom?\n",
      "2638 ) What stuff is related to bedroom?\n",
      "2639 ) Which object in this image is used for Communication?\n",
      "2640 ) Which object in this image belongs to the category Communication?\n",
      "2641 ) which object in the image is more trustworthy than humans\n",
      "2642 ) What is used for hit in this image?\n",
      "2643 ) Is there water here?\n",
      "2644 ) Which object in this image is faster than a car?\n",
      "2645 ) Which object in this image enjoys hunting?\n",
      "2646 ) Which object in this image has elliptical pupils?\n",
      "2647 ) Which object in the image is large?\n",
      "2648 ) Which animal in this image is large?\n",
      "2649 ) Which object in the image is large?\n",
      "2650 ) Which object in the image is large?\n",
      "2651 ) Which object in the image is large?\n",
      "2652 ) Which object in the image is large?\n",
      "2653 ) Which object in the image is large?\n",
      "2654 ) Which object in the image is large?\n",
      "2655 ) Which object in this image belongs to the category Fast food?\n",
      "2656 ) Which place is less clean than the place shown in this image\n",
      "2657 ) Which object in this image can be found in in circus?\n",
      "2658 ) What is the place shown here used for?\n",
      "2659 ) What is motorbike capable of\n",
      "2660 ) Which object is given to people in recognition of accomplishment?\n",
      "2661 ) What is the living being in the image?\n",
      "2662 ) Which object in this image is capable of growing new branches?\n",
      "2663 ) Which sweet bread is shown in this image?\n",
      "2664 ) What is the object in the middle of this image used for?\n",
      "2665 ) What is the object in the middle of this image used for?\n",
      "2666 ) Which object is used for sitting on?\n",
      "2667 ) What is the place in this image used for?\n",
      "2668 ) What is the place in this image used for?\n",
      "2669 ) What is the place in this image used for?\n",
      "2670 ) What is the place in this image used for?\n",
      "2671 ) What is the place in this image used for?\n",
      "2672 ) What is the place in this image used for?\n",
      "2673 ) What is the place in this image used for?\n",
      "2674 ) What is the place in this image used for?\n",
      "2675 ) What thing in the image can be used for watching movie?\n",
      "2676 ) what kind of stuff can we find in this place\n",
      "2677 ) Where is this place?\n",
      "2678 ) What thing shown in this image has salt?\n",
      "2679 ) Which object in this image is the most related to drinks\n",
      "2680 ) Which food is more acid than orange\n",
      "2681 ) which object in this image is more expensive than vegetable?\n",
      "2682 ) what object in this image can be opened?\n",
      "2683 ) Which thing in this image can be used to cross the ocean?\n",
      "2684 ) What object in this image can cross the ocean?\n",
      "2685 ) Which food in this image is related to sour taste\n",
      "2686 ) Which fruit in the image is sour?\n",
      "2687 ) What is the taste of the fruit on the tree?\n",
      "2688 ) What is the large object in the centre of the image used for?\n",
      "2689 ) What is the lightweight object in this image?\n",
      "2690 ) Which object in this image is related to lightweight?\n",
      "2691 ) What the band of these devices?\n",
      "2692 ) What object is the product of Apple Inc.?\n",
      "2693 ) What property does the place in this image have?\n",
      "2694 ) What property does the place in this image have?\n",
      "2695 ) Which object in this image is usually be worn with tuxedo?\n",
      "2696 ) What object in the image is a subclass of box?\n",
      "2697 ) which object in this image can be used for moving luggage\n",
      "2698 ) Which animal in this image is the most related to collecting nuts\n",
      "2699 ) Which animal in this image is the most related to big tail\n",
      "2700 ) What object in this image belongs in the category of Aerospace?\n",
      "2701 ) Which object in this image is a plastic disk?\n",
      "2702 ) which object in this image looks like a plastic disk?\n",
      "2703 ) Which object in this image that a boy is about to catch is a plastic disk?\n",
      "2704 ) Where does the place in this image can be found in?\n",
      "2705 ) Which object in this image is a health food?\n",
      "2706 ) which object in this image is more health than vitamin pill?\n",
      "2707 ) Which object in this image is a kind of fruit?\n",
      "2708 ) Which object in this image has the property of light green or yellow in color?\n",
      "2709 ) which object in this image is less greener than avocado?\n",
      "2710 ) which fruit in this image is greener than avocado?\n",
      "2711 ) Which object in this image is used for playing catch?\n",
      "2712 ) What thing in the image can be used for keeping animals out of a garden?\n",
      "2713 ) which object in this image has feet?\n",
      "2714 ) which object in this image is capable of hearing noises?\n",
      "2715 ) which object in this image has ears?\n",
      "2716 ) which object in this image is capable of standing on two feet?\n",
      "2717 ) Which object in this image is a part of a typical livingroom?\n",
      "2718 ) Waht object in this image is used for cooling?\n",
      "2719 ) What kind of longboard is shown in this image ?\n",
      "2720 ) Which animal in this image is related to wool source?\n",
      "2721 ) What thing which you can see here is the side of a building?\n",
      "2722 ) Which object in this image is used for making music?\n",
      "2723 ) Which object in this image can be found in a music shop?\n",
      "2724 ) Which object in this image can be found in a music shop\n",
      "2725 ) what object in this image can be found in a music shop?\n",
      "2726 ) Which object in this image is a brass instrument?\n",
      "2727 ) Which object in this image is a wind instrument with valves?\n",
      "2728 ) Tell me the name of the wind instruments with valves?\n",
      "2729 ) Which object in this image is related to distantness?\n",
      "2730 ) Which object in this image can be found in a high school band?\n",
      "2731 ) What in the image is less loyal than a dog?\n",
      "2732 ) which object in this image is more faithful than cat?\n",
      "2733 ) which object in this image is more dependable than car?\n",
      "2734 ) Which object in this image can protect a head from impact?\n",
      "2735 ) Which object in this image is capable of protect head?\n",
      "2736 ) Which object in this image can protect the head from impact?\n",
      "2737 ) Which object in this image can protect a head from impact?\n",
      "2738 ) Which object in this image can protect a head from impact?\n",
      "2739 ) Which object in this image is like a hotplate?\n",
      "2740 ) Which object in this image can be used to cook food?\n",
      "2741 ) What object in this image is related to a baking tray?\n",
      "2742 ) Which object in this image is very hot?\n",
      "2743 ) What object in this image is in most homes?\n",
      "2744 ) What object in this image is used for baking?\n",
      "2745 ) Which object in this image is used for baking?\n",
      "2746 ) What object in this image is taller than a dog?\n",
      "2747 ) Which object in this image is related to food?\n",
      "2748 ) Which object in this image is used for eat?\n",
      "2749 ) which can we often see in the place shown in this image\n",
      "2750 ) which object in this image is also named mobile phone\n",
      "2751 ) Which object in this image can be used for calculate data?\n",
      "2752 ) Which place is dryer than the place shown in this image\n",
      "2753 ) which Insect in this image is more colorful than moth?\n",
      "2754 ) What is the difference between the animal on the left and moth?\n",
      "2755 ) Which object in the image is attracted to flowers?\n",
      "2756 ) Which object in this image belongs to the category Fast food?\n",
      "2757 ) What object in this image is created by planting a seed?\n",
      "2758 ) Which object in this image can be found in catlover's home?\n",
      "2759 ) What are you likely to find in a catlover's home ?\n",
      "2760 ) What are you likely to find in a catlover's home ?\n",
      "2761 ) which object in this image can we find to live in a house\n",
      "2762 ) which object in this image often hope things to be good \n",
      "2763 ) what kind of animal is this in the image\n",
      "2764 ) Which object in this image is related to telecommunication?\n",
      "2765 ) Which object in this image is used for telecommunication?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2766 ) Which object in this image is used for telecommunication?\n",
      "2767 ) which object in this image is more colorful than moth?\n",
      "2768 ) which object in this image is more colorful than moth?\n",
      "2769 ) Which object in this image is red and white?\n",
      "2770 ) Which object in this image is red and white?\n",
      "2771 ) Which object in this image has red and white color\n",
      "2772 ) Which object in this image is red and white?\n",
      "2773 ) Which object in this image is capable of learning to fly?\n",
      "2774 ) Which fruit in the background is associated with Hawaii?\n",
      "2775 ) Which object in this image belongs to the category Botany?\n",
      "2776 ) Which object in this image is used for catch?\n",
      "2777 ) Which object in this image is for catching?\n",
      "2778 ) What can be found on the surface of the earth that also grows on a hill?\n",
      "2779 ) Which object in this image is less visibler than a car?\n",
      "2780 ) Which object in this image is a fast than bicycle?\n",
      "2781 ) Which object in this image is faster than a bicycle?\n",
      "2782 ) Which object in this image can be difficult to bathe?\n",
      "2783 ) Which object in this image is capable of cleaning itself?\n",
      "2784 ) Which object in this image has claws?\n",
      "2785 ) What kind of two wheel vehicle is shown in the image?\n",
      "2786 ) Which object in this image is a two wheeled vehicle?\n",
      "2787 ) which object in this image has two wheel\n",
      "2788 ) ￼Which object in this image is a two wheeled vehicle?\n",
      "2789 ) Which animal in this image is capable of hunting for mouse?\n",
      "2790 ) Which thing can hunt for mice?\n",
      "2791 ) What thing in this image could be used to hold an easter egg?\n",
      "2792 ) Where does the animal in this image can be found in a beehouse?\n",
      "2793 ) What property does the place in this image have?\n",
      "2794 ) What property does the place in this image have?\n",
      "2795 ) What can be found in this place?\n",
      "2796 ) What is usually found at this place?\n",
      "2797 ) What is usually found at this place?\n",
      "2798 ) What are you likely to find at this venue?\n",
      "2799 ) What can be found in this place?\n",
      "2800 ) What can be found in this place?\n",
      "2801 ) Which property does the place in this image have?\n",
      "2802 ) Which things in this image can wave their antennae?\n",
      "2803 ) Which object in this image is associated with slime?\n",
      "2804 ) What object in this image is slimy?\n",
      "2805 ) Which object in this image is used in escargot?\n",
      "2806 ) Which object in this image is related to escargot?\n",
      "2807 ) Which object in this image might require a boarding pass?\n",
      "2808 ) Which object in this image is less efficient than a train?\n",
      "2809 ) What object the person is using to enter information?g\n",
      "2810 ) Which object in this image can live less longer than cat?\n",
      "2811 ) Where can the object in the center be found?\n",
      "2812 ) Which object in this image can be found in a bakery\n",
      "2813 ) Which object in this image is related to e mail?\n",
      "2814 ) Which object in this image belongs to the category Herbivore?\n",
      "2815 ) Which object in this image is the tallest?\n",
      "2816 ) What in this image can be used for holding bread?\n",
      "2817 ) What is the order of the animal shown in this image?\n",
      "2818 ) Which object in this image can be found in zoo?\n",
      "2819 ) What can be found in this place?\n",
      "2820 ) what kind of place is shown in the image?\n",
      "2821 ) Which object in this image can be found in a zoo?\n",
      "2822 ) Which object in this image can be found in a zoo?\n",
      "2823 ) What is the order of the animal at the bottom of this image?\n",
      "2824 ) which object is the similar to cattle\n",
      "2825 ) Which object in this image belongs to the category Gymnastics?\n",
      "2826 ) Name the sports in the image that is related to gymnastics.\n",
      "2827 ) Which object on the bottom of this image belongs to the category Gymnastics?\n",
      "2828 ) Which object in this image is a woolly animal?\n",
      "2829 ) which object in this image is related to 'woolly animal'?\n",
      "2830 ) Which object in this image is related to a goldfish bowl?\n",
      "2831 ) What object is green in the image?\n",
      "2832 ) Which object in this image is related to green?\n",
      "2833 ) Which object in this image can be found in a brass band?\n",
      "2834 ) Which object in this image can be found in brass band?\n",
      "2835 ) Which object in this image belongs to the category Convenience foods?\n",
      "2836 ) which object in this image is such kind of animal than can work for human\n",
      "2837 ) Which object in this image belongs to the category Kinship?\n",
      "2838 ) Which part in this image belongs to the category Kinship?\n",
      "2839 ) Which object in this image is a sport?\n",
      "2840 ) What is the person holding to play this game ?\n",
      "2841 ) Which game of physical skill is shown here?\n",
      "2842 ) Which object in this image is a fruit?\n",
      "2843 ) Which objects in this image are round with holes in them?\n",
      "2844 ) Which object in this image is a popular breakfast food?\n",
      "2845 ) What is likely to be found in this place?\n",
      "2846 ) Which object in this image considers Child safety?\n",
      "2847 ) Which object in this image is usually order for delivery?\n",
      "2848 ) Which object in this image can you order for delivery?\n",
      "2849 ) Which object in this image is usually cut into slices?\n",
      "2850 ) Which thing in this image would normally be cut into slices?\n",
      "2851 ) Which object in this image is usually cut into slices?\n",
      "2852 ) Which object in this image has the property of cut into slice?\n",
      "2853 ) Which object in this image is a Jewish cuisine?\n",
      "2854 ) what is less efficient than the object in the left with red strip in this image\n",
      "2855 ) which object in this image is more efficient and effective than car?\n",
      "2856 ) What is the object the guys are using for strength training?\n",
      "2857 ) What is one object in this image belonging to the category Clothing?\n",
      "2858 ) Which object in this image is used for weight training?\n",
      "2859 ) Which equipment in this image is related to weight training\n",
      "2860 ) Which object in this image is used for transportation?\n",
      "2861 ) Which object in this image has the property of green?\n",
      "2862 ) Which object in this image belongs to the category Snack food?\n",
      "2863 ) What snack food is featured in this picture?\n",
      "2864 ) Which object in this image belongs to the category Food?\n",
      "2865 ) Which object in this image is food?\n",
      "2866 ) which thing has a small hole in the middle as a part?\n",
      "2867 ) What is the sweet breads in the image?\n",
      "2868 ) What is the sweet thing in the image?\n",
      "2869 ) Which object in this image can we often see in the areas of amazon\n",
      "2870 ) Where does the object on the right of the image can likely be found in?\n",
      "2871 ) what does this place has\n",
      "2872 ) What may be thought of as forming the room shown in this image?\n",
      "2873 ) What property does the place in this image have?\n",
      "2874 ) Which vehicle in the image is usually lighter than a bicycle?\n",
      "2875 ) which object in this image is lighter than a bike?\n",
      "2876 ) Which object in this image belongs to the category North American culture?\n",
      "2877 ) Which object in this image can be related to spring?\n",
      "2878 ) Which object in the image is capable of standing on their hind legs?\n",
      "2879 ) Whate kind of Olympic Games is presented in this image ?\n",
      "2880 ) Which object in this image contains caffeine\n",
      "2881 ) Which liquid in the mug on the bottom of the image contains caffeine\n",
      "2882 ) Which object in this image has a trunk?\n",
      "2883 ) Which object in this image has a trunk?\n",
      "2884 ) What object in this image is used to keep things in?\n",
      "2885 ) What piece of sports equipment is in this image?\n",
      "2886 ) What is the white frozen thing in the image? \n",
      "2887 ) Which thing in this picture is white?\n",
      "2888 ) What is the fungus in the image?\n",
      "2889 ) which kind of fungus can we see in this image\n",
      "2890 ) What thing in the image can fly?\n",
      "2891 ) Which object in this image is capable of flying?\n",
      "2892 ) what object in this image can be used to serve soup?\n",
      "2893 ) Which fruit in this image is often mistakenly called a vegetable?\n",
      "2894 ) What orange vegetable is seen here?\n",
      "2895 ) Which object in this image is used for putting things in?\n",
      "2896 ) Which object in this image is used for putting things in?\n",
      "2897 ) In this image, which object belongs to the category Furniture?\n",
      "2898 ) What is an example of something in this image belonging to the category Furniture?\n",
      "2899 ) Which object in this image is related to torus?\n",
      "2900 ) What is the neck wear appeared in the image?\n",
      "2901 ) Which object in this image belongs to the category of woodwork?\n",
      "2902 ) which object in this image is capable of using a computer?\n",
      "2903 ) which object in this image is capable of using a computer?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2904 ) Who is a carnivore in this image?\n",
      "2905 ) Which object in this image is capable of streaming media?\n",
      "2906 ) What is the instrument made out of?\n",
      "2907 ) What is the instrument made of?\n",
      "2908 ) Which object in this image has the property of yellow with small brown spot when ripe?\n",
      "2909 ) Which object in this image is yellow with small brown spots?\n",
      "2910 ) which object in this image can help people move\n",
      "2911 ) Which object in this image desires haircut?\n",
      "2912 ) What can you see in this image is related to strike?\n",
      "2913 ) Which object in this image is the most related to strike\n",
      "2914 ) What in this image may be used to strike something?\n",
      "2915 ) Which object in this image is used to strike?\n",
      "2916 ) Which object in this image can sometimes be found in a litterbox?\n",
      "2917 ) what does the cat sit on?\n",
      "2918 ) which electronical object in this image is larger than tablet pc?\n",
      "2919 ) What thing shown here is programmable?\n",
      "2920 ) What can you see in the image that has fur?\n",
      "2921 ) Which sport is related to snow?\n",
      "2922 ) What animal in the picture belongs to the category cat?\n",
      "2923 ) What in the image is soft and furry?\n",
      "2924 ) Which object in this image is soft and furry?\n",
      "2925 ) Which object in this image is used to measure liquid?\n",
      "2926 ) Where can the object in the centre of this image be found?\n",
      "2927 ) Which object in this image can be found in a laboratory?\n",
      "2928 ) What object can be found in living room?\n",
      "2929 ) Which object in this image is likely to be comfortable?\n",
      "2930 ) Which object in this image has the property of comfortable to have a rest?\n",
      "2931 ) Which object in this image is a type of Human-powered vehicles?\n",
      "2932 ) Which object in this image is a writing instrument?\n",
      "2933 ) what object can we observe in the place shown in this image\n",
      "2934 ) Which object in this image could be related to astroturf?\n",
      "2935 ) Which object in this image is related to astroturf?\n",
      "2936 ) What shown here might be related to astroturf?\n",
      "2937 ) Which object in this image can be found in an orchestra?\n",
      "2938 ) What can be found in this place?\n",
      "2939 ) Which object in this image is used for heating water into?\n",
      "2940 ) What's in the bowl that you can eat?\n",
      "2941 ) What category of plants is shown in this image?\n",
      "2942 ) Which object in this image is often found at a desk?\n",
      "2943 ) Which object in this image is a mammal?\n",
      "2944 ) Which mammal is present in this picture?\n",
      "2945 ) what can you see in this picture\n",
      "2946 ) Which device in this image is a computer display?\n",
      "2947 ) What is road is used for?\n",
      "2948 ) Which object in this image belongs to the category Traffic sign?\n",
      "2949 ) What is the traffic sign in this image?\n",
      "2950 ) Which object in the image is associated with Computing?\n",
      "2951 ) What living space is typically more expensive than the one in the image?\n",
      "2952 ) Which object in this image has a back you can lean against?\n",
      "2953 ) Which object in this image has a back you can lean against?\n",
      "2954 ) Which object in this image has a back you can lean against?\n",
      "2955 ) Which object in this image is livestock?\n",
      "2956 ) What is the livestock in the image?\n",
      "2957 ) Which object in this image is a cosmetic?\n",
      "2958 ) Which  belongs to the category Streets and roads in this image?\n",
      "2959 ) What is the place in this image capable of?\n",
      "2960 ) What is in the centre of this food?\n",
      "2961 ) what objects in this image have holes in the centre?\n",
      "2962 ) What is the round cake?\n",
      "2963 ) What is the sweets made of?\n",
      "2964 ) Which object in this image is a musical string instrument?\n",
      "2965 ) Which object in this image is related to music\n",
      "2966 ) Which food in this image is the most related to toadstool\n",
      "2967 ) Which object in this photo is grown in dark rooms\n",
      "2968 ) What is the place in this image used for?\n",
      "2969 ) which object in this image often live in a particular way\n",
      "2970 ) which object in this image often live in a particular way\n",
      "2971 ) which object in this image often live in a particular way\n",
      "2972 ) Which object in this image is a assemble food?\n",
      "2973 ) Which object in this image is a kind of Tropical fruit?\n",
      "2974 ) Which object in this image could potentially drive a lorry?\n",
      "2975 ) What can you find in this place?\n",
      "2976 ) What can you do in this place?\n",
      "2977 ) What can you do in this place?\n",
      "2978 ) which vehicle in this image is safer than automobile?\n",
      "2979 ) What seen here might circle an airfield?\n",
      "2980 ) which object in this image is used for air transportation?\n",
      "2981 ) which object in this image is related to 'wool'?\n",
      "2982 ) What woolly animal is seen here?\n",
      "2983 ) which object in this image is used for transportation?\n",
      "2984 ) which object in this image belongs to the category 'aerospace'?\n",
      "2985 ) which object in this image belong to the category of 'flight'?\n",
      "2986 ) Which object in this image belongs to a part of computer?\n",
      "2987 ) Which object in this image has a keyboard\n",
      "2988 ) What is the place in this image used for?\n",
      "2989 ) What is the place in this image used for?\n",
      "2990 ) Which object in this image is a longh vehicle compose of many car link together?\n",
      "2991 ) Which object in this image is a long vehicle composed of many cars linked together?\n",
      "2992 ) Which vehicle in this image has wings?\n",
      "2993 ) What object in this image has wings?\n",
      "2994 ) What stuff in the image belongs to vehicle?\n",
      "2995 ) Which object in this image is used for divide property?\n",
      "2996 ) What is opposite from ground in the image?\n",
      "2997 ) What is the family of the animal in this image?\n",
      "2998 ) What is the family of the animal shown in the middle of this image?\n",
      "2999 ) Which object in this image is experiencing joy?\n",
      "3000 ) what thing is this image can be used to carry your clothes?\n",
      "3001 ) Which object in this image is used for carrying your clothes?\n",
      "3002 ) Which object in this image can be found in at airport?\n",
      "3003 ) Which object in this image is usually furry?\n",
      "3004 ) Which object in this image is usually furry?\n",
      "3005 ) What object in the image typically contains a sausage?\n",
      "3006 ) What visible here has fingernails?\n",
      "3007 ) What kind of machine can help a person do his work ?\n",
      "3008 ) What thing related to optics can be seen here?\n",
      "3009 ) Which object in this image is used for do work in office?\n",
      "3010 ) Which object in this image is used for do work in office?\n",
      "3011 ) Which object in this image belongs to the category Private transport?\n",
      "3012 ) Which object in this image is capable of being a very good companion?\n",
      "3013 ) What in this image could be found in low branches of tree?\n",
      "3014 ) Which object in this image is related to canoe?\n",
      "3015 ) What property does the place in this image have?\n",
      "3016 ) Which object in this image is a guitar-like musical instrument?\n",
      "3017 ) Which object in this image is used for keeping food from decaying quickly?\n",
      "3018 ) Which object in this image is used for cooling things?\n",
      "3019 ) Which object in this image is used for cooking food?\n",
      "3020 ) Which object in this image is related to pedalling?\n",
      "3021 ) Which object in this image is related to pedal?\n",
      "3022 ) Which object in this image has 2 tires?\n",
      "3023 ) Which object in this image has 2 tires?\n",
      "3024 ) What object has two tires?\n",
      "3025 ) Which object in this image belongs to the category Transport?\n",
      "3026 ) Which object in this image is capable of training a dog?\n",
      "3027 ) Which object in this image is related to bark?\n",
      "3028 ) which object in this image is more dangerous than automobile?\n",
      "3029 ) Which object in this image relates to the plumbing?\n",
      "3030 ) Which object in this image is used for depositing human waste?\n",
      "3031 ) What object in this image is used for depositing human waste?\n",
      "3032 ) Which object in this image belongs to food?\n",
      "3033 ) Which food can you see in this image?\n",
      "3034 ) Which object in this image is a food?\n",
      "3035 ) Which object in this image can be found in band?\n",
      "3036 ) Which object in this image has a mushroom on it?\n",
      "3037 ) Which object in this image has a rind?\n",
      "3038 ) Which object in this image is flat and round?\n",
      "3039 ) Which object in this image is flat and round?\n",
      "3040 ) Which object in this image is flat and round?\n",
      "3041 ) which object in this image will be used during your study\n",
      "3042 ) Which object in this image can be used for storing information?\n",
      "3043 ) Which sport device in this image is used for have fun?\n",
      "3044 ) Which object in this image is used for playing?\n",
      "3045 ) Which object in this image is related to hydrography?\n",
      "3046 ) Which thing in this image is playing game?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3047 ) Which object in this image is used for data processing?\n",
      "3048 ) Which object in this image is related to data processing?\n",
      "3049 ) Which object in this image likely has a frame?\n",
      "3050 ) what object is used for playing in this image?\n",
      "3051 ) Which sport in this image is used for relaxation?\n",
      "3052 ) Which object in this image can be found in the woodwind section?\n",
      "3053 ) Which object in this image belongs to the category Youth culture?\n",
      "3054 ) What activity in this image is considered Entertainment in the United States?\n",
      "3055 ) What object that is used to play the game is round and white?\n",
      "3056 ) Which object in this image belongs to the category Animal?\n",
      "3057 ) What category does zebras belong to?\n",
      "3058 ) Which object in this image is food？\n",
      "3059 ) What is the disc shape food item called?\n",
      "3060 ) which object in this image is a kind food in disc shape\n",
      "3061 ) What is the disc-shaped food item in this image?\n",
      "3062 ) Which object in this image is one kind of stringed instrument?\n",
      "3063 ) Which object in this image is a kind of stringed instrument?\n",
      "3064 ) Which object in this image is used for playing music?\n",
      "3065 ) Which thing in this image sometimes engages in the behaviour known as 'necking'?\n",
      "3066 ) Which object in this image is a ruminant?\n",
      "3067 ) Which objects in this image belong to the category Childhood?\n",
      "3068 ) Which item in this image are for children?\n",
      "3069 ) Which object in this image is more often seen in childhood?\n",
      "3070 ) Which object in this image is capable of hearing a voice?\n",
      "3071 ) What object in this image belongs to a keyboard instrument?\n",
      "3072 ) which object in this image can drink water\n",
      "3073 ) Which object in this image is used for for keeping animals in?\n",
      "3074 ) What is the place in this image used for parking?\n",
      "3075 ) what thing is more popular than the car in this image?\n",
      "3076 ) Which object in this image is related to yeast?\n",
      "3077 ) Which object in this image is related to spinifex?\n",
      "3078 ) What type of object seen here can be related to spinifex?\n",
      "3079 ) What can you see on the surface of the earth?\n",
      "3080 ) Which object used to prevent injury is hard?\n",
      "3081 ) Which object in this image is a source of information?\n",
      "3082 ) Which object in this image has two lenses?\n",
      "3083 ) Which object in this image is a mechanized form of transport?\n",
      "3084 ) Which object in this image has wheels?\n",
      "3085 ) Which object in this image has two wheels?\n",
      "3086 ) Which object in this image is a good food?\n",
      "3087 ) Which object in this image is a good food?\n",
      "3088 ) What can sometimes be found in this place?\n",
      "3089 ) Which object in this image desires trick others?\n",
      "3090 ) Which object in this image can also be of the type BMX?\n",
      "3091 ) what thing can be faster than the vehicle in this image?\n",
      "3092 ) Which object in this image belongs to the category Smoked meat?\n",
      "3093 ) Which object does the man have as a neckwear?\n",
      "3094 ) What kind of neckwear do they have?\n",
      "3095 ) What is one object in this image belonging to the category Neckwear?\n",
      "3096 ) What animal in the image has shell?\n",
      "3097 ) Which object in this image is a subclass of sausage?\n",
      "3098 ) What is the desert in the image?\n",
      "3099 ) What object in this image is a human powered vehicle\n",
      "3100 ) Which object in this image has a chain\n",
      "3101 ) What vehicle in this image is powered by people\n",
      "3102 ) Which object seen in this image has the property of being powerable by a person?\n",
      "3103 ) What do you need in this image if you want to fishing?\n",
      "3104 ) Which object in this image is related to delicious\n",
      "3105 ) Which object in this image is delicious?\n",
      "3106 ) What is the room in the image for?\n",
      "3107 ) What is the place in this image used for?\n",
      "3108 ) which object in this image is used to shield a preson from the rain?\n",
      "3109 ) Which object in this image is used for shielding a person from rain?\n",
      "3110 ) Which object in this image can be found in a jazz ensemble?\n",
      "3111 ) Which object in this image is connected with  sleep?\n",
      "3112 ) Which object in this image is used for watch tv?\n",
      "3113 ) What thing in the image require electric and is related to safe?\n",
      "3114 ) Which object is the most related to crab\n",
      "3115 ) Which object in this image is related to crab\n",
      "3116 ) What is the significant property of the animal in this image\n",
      "3117 ) Which animal in this image is slow?\n",
      "3118 ) Why this animal can be dangerous?\n",
      "3119 ) What types of skin does this animal in the image has?\n",
      "3120 ) Which object in this image has leathery skin?\n",
      "3121 ) What in this image belongs to the category Conservation and restoration?\n",
      "3122 ) What object in this image is used to improve vision?\n",
      "3123 ) Which object in this image is related to rest?\n",
      "3124 ) What do you need to play this instrument?\n",
      "3125 ) Which object in this photo is related to beat stick\n",
      "3126 ) which object in this image can chase a ball\n",
      "3127 ) which object in this image can chase a ball\n",
      "3128 ) Which of the objects in this image might be found in a bed?\n",
      "3129 ) Which object in this image has two wheels?\n",
      "3130 ) Which object in this image is a vehicle with two wheels?\n",
      "3131 ) Which object in this image is lighter than a car?\n",
      "3132 ) Which object in this image is a roughly spherical hard shell that you can wear around your head to protect it from injury?\n",
      "3133 ) Which object in this image is a roughly spherical hard shell that you can wear around your head to protect it from injury?\n",
      "3134 ) Which object in this image is a roughly spherical hard shell that you can wear around your head to protect it from injury?\n",
      "3135 ) What is the object in the centre of this image used for?\n",
      "3136 ) What is the object in the middle right of this image used for?\n",
      "3137 ) Which object in this image is good for lunch?\n",
      "3138 ) Which object in this image is suitable for lunch?\n",
      "3139 ) What is used for data entry?\n",
      "3140 ) What is used for data entry?\n",
      "3141 ) Which object in this image is for data entry?\n",
      "3142 ) Which object in this image is used for input onto a monitor?\n",
      "3143 ) Which object in this image is used for input letter onto window?\n",
      "3144 ) Which object in this image has been segmented?\n",
      "3145 ) What place is less important than the place in the image?\n",
      "3146 ) Which object in this image is used for float?\n",
      "3147 ) Which object in this image can take you to an island\n",
      "3148 ) Which object in this image belongs to the category History of communication?\n",
      "3149 ) What ball in this image is bigger than baseball?\n",
      "3150 ) What kind of vehicle is in this image?\n",
      "3151 ) Where is visibler than the place shown in this image\n",
      "3152 ) What in this image is related to boxen?\n",
      "3153 ) Which instrument in the foreground can be found in weird al's video\n",
      "3154 ) What in this image has the property of very useful?\n",
      "3155 ) What is the food on the left called?\n",
      "3156 ) which object in this image is capable of buttering toast?\n",
      "3157 ) what object in this image is capable of buying a car?\n",
      "3158 ) What object in this image is capable of swimming in water?\n",
      "3159 ) what object in this image can speak?\n",
      "3160 ) What object in this image appears 'happy'?\n",
      "3161 ) What object can fly in the sky?\n",
      "3162 ) Which object in this image might arrive at an airport?\n",
      "3163 ) what object in this image is capable of getting angry?\n",
      "3164 ) Which tool in this image can cut cheese\n",
      "3165 ) Which object in this image is a citrus fruit?\n",
      "3166 ) Which object in this image is a citrus fruit?\n",
      "3167 ) What drink is made with this fruit?\n",
      "3168 ) Which object in this image is related to grenadine?\n",
      "3169 ) What thing in this image can scratch?\n",
      "3170 ) Which object in this image belongs to the category Food and drink?\n",
      "3171 ) Where does the place in this image can be found in?\n",
      "3172 ) Where does the place in this image can be found in?\n",
      "3173 ) Which object in this image contains alcohol?\n",
      "3174 ) Which object in this image belongs to Convenience foods?\n",
      "3175 ) What on the ground is less stable than ice?\n",
      "3176 ) hich object in this image can carry person?\n",
      "3177 ) Which objects in this image are capable of carrying people?\n",
      "3178 ) What is flying in this image?\n",
      "3179 ) Which object in the middle can fly?\n",
      "3180 ) Which object in this image has a wing\n",
      "3181 ) Which object in this image may be related to eggs?\n",
      "3182 ) which object in this image can grow further with the larger size\n",
      "3183 ) Which object in this image is sold\n",
      "3184 ) which object in this image is not  good than honesty?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3185 ) What object in this image is liquid container?\n",
      "3186 ) Which object in this image can store wine?\n",
      "3187 ) Which object in this image contains alcohol?\n",
      "3188 ) Which object in this image can be drunk by person?\n",
      "3189 ) What is sweet and yellow fruit in the image?\n",
      "3190 ) Which object in this image is a sweet yellow fruit?\n",
      "3191 ) What medical instrument does the boy have?\n",
      "3192 ) Whether this game belongs to the Summer Olympic or the Winter Olympic?\n",
      "3193 ) which object in the image is lower than violin\n",
      "3194 ) Which object in this image is a vegetable?\n",
      "3195 ) Which object in this image belong to vegetable\n",
      "3196 ) What is on their skin? feathers or fur?\n",
      "3197 ) Which animal in the image is more active?\n",
      "3198 ) Which object in this image is a dromedary?\n",
      "3199 ) Which object in this image is a dromedary?\n",
      "3200 ) Which object in this image is related to dromedary?\n",
      "3201 ) What sport this image describes?\n",
      "3202 ) What can the animal in this image be used to ?\n",
      "3203 ) Which object in this image is a hat?\n",
      "3204 ) Which object in this image is a type of hat?\n",
      "3205 ) Which object in this image is used to brown bread?\n",
      "3206 ) Which vehicle in this image has a windscreen?\n",
      "3207 ) What mollusc is in this image?\n",
      "3208 ) Which object in this image has posts?\n",
      "3209 ) Which object in this image has posts?\n",
      "3210 ) Which object in this image belongs to the category Swimsuits?\n",
      "3211 ) What is the place in this image used for?\n",
      "3212 ) which object in this image is better than stone?\n",
      "3213 ) which object in this image is better than stone?\n",
      "3214 ) Which object in this image has wings?\n",
      "3215 ) Which object in this image has the property of being orange?\n",
      "3216 ) Which object in this image is orange?\n",
      "3217 ) Which object in this image is could of fall off a shelf?\n",
      "3218 ) One thing likely to be found in this place would be what?\n",
      "3219 ) Which object in this image has the property of fun?\n",
      "3220 ) Which object in this image is a one of most powerful technology ever invent by human?\n",
      "3221 ) What furniture is used to hold computer?\n",
      "3222 ) Which object in this image is related to luthiers?\n",
      "3223 ) What can the place in this image be used for?\n",
      "3224 ) what does the kid sit on?\n",
      "3225 ) what kind of scene is shown in the image\n",
      "3226 ) Which object in this image is related to tromboner?\n",
      "3227 ) What object in this image is used by a tromboner?\n",
      "3228 ) which object in this image is related to a ferry?\n",
      "3229 ) which object in this image is a means of transportation?\n",
      "3230 ) which object in this image is a mode of transportation?\n",
      "3231 ) Which object in this image can be found in monkey's hand?\n",
      "3232 ) Which fruit in this image can be found din a monkey's hand\n",
      "3233 ) Which object shown in this image can be found in a monkey's hand?\n",
      "3234 ) What object is transparent?\n",
      "3235 ) Which object in this image has the property of being transparent?\n",
      "3236 ) Which object in this image is often wet in morning from dew?\n",
      "3237 ) which object in this picture can we drive to go across the English channel\n",
      "3238 ) Which object in this image belongs to the category of kitchen items?\n",
      "3239 ) Which kitchen item in this image may contain a drink?\n",
      "3240 ) Which object in this image belongs to the category Alcoholic beverages?\n",
      "3241 ) what's filled in the bottle?\n",
      "3242 ) What is the class of the animal in this image?\n",
      "3243 ) What shown here might be used to hold liquid?\n",
      "3244 ) which object in this image is faster than bike?\n",
      "3245 ) Which object in this image is faster than the bike?\n",
      "3246 ) which object in this image is faster than bike?\n",
      "3247 ) Which object in this image is a motor vehicle?\n",
      "3248 ) what in this image is related to rope?\n",
      "3249 ) What can be found in this place?\n",
      "3250 ) Which entity in this image would like a working refrigerator\n",
      "3251 ) What is an example of container?\n",
      "3252 ) What can you do in this place?\n",
      "3253 ) Which object in this image is the most related to monkey\n",
      "3254 ) Which object in this image can be used to push food onto a fork?\n",
      "3255 ) What sport is shown in this image?\n",
      "3256 ) Which object in this image is capable of napping?\n",
      "3257 ) ￼Which object in this image can nap?\n",
      "3258 ) Which object in this image belongs to the category Watercraft?\n",
      "3259 ) Which object in this image is a musical instrument?\n",
      "3260 ) What is the red cylinder object in the image is used for?\n",
      "3261 ) Why there is a fire hydrant?\n",
      "3262 ) Which object in this image can be used to fight fires?\n",
      "3263 ) What is the object in the left side of this image used for?\n",
      "3264 ) Which object in this image is used for fighting fires?\n",
      "3265 ) Which object in this image is used for fighting fires?\n",
      "3266 ) Which object in this image can cause wind?\n",
      "3267 ) which object in this image can cause a wind\n",
      "3268 ) Where could you buy these items ?\n",
      "3269 ) Which object in this image belongs to lepidopteran?\n",
      "3270 ) Which object in this image belongs to the category Edible plants?\n",
      "3271 ) Which object in this image belongs to Computer hardware?\n",
      "3272 ) Which object in this image has hair?\n",
      "3273 ) What in this image is hairy?\n",
      "3274 ) Which object in this image is a breakfast beverage?\n",
      "3275 ) Which object in this image belongs to the category Mobile technology?\n",
      "3276 ) Which object in this image is similar to desktop?\n",
      "3277 ) Which object in this image has cups?\n",
      "3278 ) Which object in this image is related to underwear?\n",
      "3279 ) Which object in this image is related to tennis?\n",
      "3280 ) Which type of object in this image is also used for tennis?\n",
      "3281 ) Which object in this image is capable of waving hello?\n",
      "3282 ) Which object in this image can be used for cyberdating?\n",
      "3283 ) Which object in this image is related to four leg?\n",
      "3284 ) What shown in this image has four legs?\n",
      "3285 ) Which object in this image is one of the most favourite american sport?\n",
      "3286 ) Which object in this image is one of the most favourite american sport?\n",
      "3287 ) What shown here desires happiness?\n",
      "3288 ) Which object in this image belongs to a family pet?\n",
      "3289 ) Which object in this image can stand on four legs\n",
      "3290 ) Which object in this image can be found in rock band?\n",
      "3291 ) Which object is usually found in a rock band\n",
      "3292 ) What is one object in this image usually made from wood?\n",
      "3293 ) What is the musical instrument in the image made from?\n",
      "3294 ) Which object in the image has six strings?\n",
      "3295 ) Which animal in this image is capable of sleeping a long time?\n",
      "3296 ) Which object in this image can be found as a part of the wall?\n",
      "3297 ) Which object in this image can be found as a part of the wall?\n",
      "3298 ) Which object in this image belongs to the category Edible plants?\n",
      "3299 ) Which object in this image belongs to the category Edible plants?\n",
      "3300 ) Which object in this image has zest?\n",
      "3301 ) Which object in this image has a vitamin c?\n",
      "3302 ) Which travel item do you see in this image?\n",
      "3303 ) Which object in this image belongs to North American culture?\n",
      "3304 ) Which object in this image could often be made out of wicker?\n",
      "3305 ) What object in this image can hold drink?\n",
      "3306 ) What object can be used to eat steak?\n",
      "3307 ) Which object in this image can be used for eating steak?\n",
      "3308 ) Which object in this image is used for eat steak?\n",
      "3309 ) Which object in this image  is made of milk?\n",
      "3310 ) Which object in this image is related to milk?\n",
      "3311 ) What in this image is capable of reading a newspaper?\n",
      "3312 ) Which object in this image is a mode of public transportation?\n",
      "3313 ) Which object in this image is for public transportation?\n",
      "3314 ) Which object in this image belongs to the category Tools?\n",
      "3315 ) What thing shown in this image is capable of sprinting?\n",
      "3316 ) which object in this image is on the top of head\n",
      "3317 ) Which object in this image could be used to make glass?\n",
      "3318 ) Which object in this image has a white and black key\n",
      "3319 ) Which object in this image has a white and black keys?\n",
      "3320 ) Which object in this image can be found at an airport?\n",
      "3321 ) What can you see in this image is used for sitting at table?\n",
      "3322 ) Which object in this image is used for sitting at the table?\n",
      "3323 ) What is the place in this image used for?\n",
      "3324 ) which object in this image is more senior than couch?\n",
      "3325 ) Which object in this image is connected with cup of tea?\n",
      "3326 ) Which object in this image is a heavy than chair?\n",
      "3327 ) Which object in this image is a soft than chair?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3328 ) Which object in this image belongs to the category Horse driving?\n",
      "3329 ) What are you likely to encounter in this place?\n",
      "3330 ) Which object in this picture is used by the fire department?\n",
      "3331 ) which object in this image may want to have a cat as a pet\n",
      "3332 ) Which object in this image desires chance to show their hidden talents?\n",
      "3333 ) Which object in this image can pull carriage?\n",
      "3334 ) which object can we find in the place shown in this image\n",
      "3335 ) which kind of consumer goods can we find in this image\n",
      "3336 ) What is an example of an electronic device in this image?\n",
      "3337 ) Which object in this image is an electronic device?\n",
      "3338 ) Which object in this image is a electronic equipment?\n",
      "3339 ) what object in this image needs its strings to be tuned?\n",
      "3340 ) Which object in this image is similar to armchair?\n",
      "3341 ) What is the object in the person's hands used for?\n",
      "3342 ) What is the object on the right used for?\n",
      "3343 ) Which object in this image is used for playing music?\n",
      "3344 ) Which object in this image belongs to the category tool?\n",
      "3345 ) which kind of tool can we see in this image\n",
      "3346 ) What object in this image can be used for set up campfire?\n",
      "3347 ) What is on the clock?\n",
      "3348 ) What kind of alcohol does the drink in the image has?\n",
      "3349 ) What in this image is a usually to sit or lie on?\n",
      "3350 ) Which object in this image is a usually to sit or lie on?\n",
      "3351 ) What can the place be used for?\n",
      "3352 ) What in this image is related to settee?\n",
      "3353 ) Which object in this image has a bolster in it\n",
      "3354 ) Which object in this image has art work hanging on it?\n",
      "3355 ) Which object in this image can be used as a place to hang art work?\n",
      "3356 ) Which object in this image is a what person sits in?\n",
      "3357 ) Which object in this image has a sauce?\n",
      "3358 ) Which piece of food in this image has a sauce?\n",
      "3359 ) Which object in this image has a trunk?\n",
      "3360 ) Which animal in this image has a trunk?\n",
      "3361 ) Which object in this image has a trunk?\n",
      "3362 ) Which object in this image might be found in a zoo?\n",
      "3363 ) which object in this image can be found in a zoo?\n",
      "3364 ) Which animal in this image belongs to the category Eukaryote?\n",
      "3365 ) Which animal in this image has the property of long neck animal?\n",
      "3366 ) Which object in this image is a long necked animal?\n",
      "3367 ) Which is a long necked animal\n",
      "3368 ) What is the animal famous for?\n",
      "3369 ) what in this image is related to zonkey?\n",
      "3370 ) Which object in this image can form part of a string quartet?\n",
      "3371 ) What object in this image is a means of water transport?\n",
      "3372 ) Which object in this image is used for transport?\n",
      "3373 ) What object in this image can be found at a bus stop?\n",
      "3374 ) which object in this image is more vulnerable than desktop?\n",
      "3375 ) Which object in this image is related to crust?\n",
      "3376 ) Which object in this image has a crust?\n",
      "3377 ) Which object in this image is related to crust?\n",
      "3378 ) Which object in this image has a crust?\n",
      "3379 ) Which object in this image is related to crust?\n",
      "3380 ) Which object in this image has soft cushions?\n",
      "3381 ) what thing in this picture contains a soft cushion as a part\n",
      "3382 ) Which object in this image can be found in apartment?\n",
      "3383 ) Which object in this image is capable of seating people?\n",
      "3384 ) Which object in this image is baked in an oven?\n",
      "3385 ) Which object in this image was baked in an oven?\n",
      "3386 ) Which object in this image is baked in an oven?\n",
      "3387 ) What food in this image is bake in oven?\n",
      "3388 ) Which object in this image is baked in oven?\n",
      "3389 ) Where is this pizza baked?\n",
      "3390 ) Name an action less important than the one in this image\n",
      "3391 ) Which animal in this image is more dependable?\n",
      "3392 ) What can be found in this place?\n",
      "3393 ) Which object in this image would usually have breakfast in the morning?\n",
      "3394 ) Which object in this image is used for playing folk music?\n",
      "3395 ) Which object in this image can be used to play folk music?\n",
      "3396 ) Which object in this image is used for playing folk music\n",
      "3397 ) what objects in this image are a spherical shape?\n",
      "3398 ) Which vehicle in this image is lighter than a car?\n",
      "3399 ) Which object in this image is used for contain book?\n",
      "3400 ) Which object in this image is capable of save information?\n",
      "3401 ) Which object belongs to the category Digital technology in this image?\n",
      "3402 ) Which object in this image is capable of taste sour?\n",
      "3403 ) Which object in this image has prongs?\n",
      "3404 ) What is the animal in this image that is larger than a person?\n",
      "3405 ) Which object in this image is capable of come to it master?\n",
      "3406 ) Which animal in this image is a faithful companion?\n",
      "3407 ) Which object in this image belongs to the category Animal-powered transport?\n",
      "3408 ) Which object in this image belongs to the category Nintendo hardware?\n",
      "3409 ) Which object in this image held by the person in the middle belongs to the category Wii hardware?\n",
      "3410 ) Which object in this image desires to be petted?\n",
      "3411 ) what transportation method will be more expensive than the vehicle in the center of the image? \n",
      "3412 ) Which object in this image is cheaper than a taxi?\n",
      "3413 ) which object in this image has to eat?\n",
      "3414 ) Which object(s) in this image can fly without wings?\n",
      "3415 ) Which object in this image is can shade the people standing under it?\n",
      "3416 ) Which part of the lady touch the keyboard?\n",
      "3417 ) What big animals are in this image?\n",
      "3418 ) Which object in this image is related to concertina?\n",
      "3419 ) Which object in this image can shade the lawn?\n",
      "3420 ) Which object in this image might be found in polka band?\n",
      "3421 ) What type of fruit can have a peel?\n",
      "3422 ) What food is in the bowl? \n",
      "3423 ) Which object in this image is used for mark boundary?\n",
      "3424 ) Which object in this image is used for marking a boundary?\n",
      "3425 ) What is the family of the animal in this image?\n",
      "3426 ) What thing in this image is related to bamboo?\n",
      "3427 ) Which object in this image belongs to the category Telecommunications equipment?\n",
      "3428 ) Which vehicle in this photo is lighter?\n",
      "3429 ) What are the blue things around the tables?\n",
      "3430 ) What thing in this image desires to have money to buy chocolate?\n",
      "3431 ) What is a part of the place shown in the image?\n",
      "3432 ) What in this image is a tropical fruit\n",
      "3433 ) Which thing is used to play jazz?\n",
      "3434 ) what object in this image is more independent than a dog?\n",
      "3435 ) Which animal in the image is more independent?\n",
      "3436 ) Why the woman wear a helmet?\n",
      "3437 ) Why the man wears a helmet?\n",
      "3438 ) What is protecting this person's head?\n",
      "3439 ) Which vehicle in this image is more dangerous than car\n",
      "3440 ) Which vehicle in this image is much more dangerous than car\n",
      "3441 ) Which vehicle in this image is more dangerous than car\n",
      "3442 ) What can be found in this place?\n",
      "3443 ) Which object in this image is used for play?\n",
      "3444 ) Which object in this image is a sphere?\n",
      "3445 ) Which object in this image is capable of purring?\n",
      "3446 ) Which thing in this picture can purr?\n",
      "3447 ) What is food in the image?\n",
      "3448 ) Which object in this image belongs to the category of Megafauna?\n",
      "3449 ) Which object in this image is a cold blood animal?\n",
      "3450 ) Which animal in this image is a cold blood animal?\n",
      "3451 ) Which object in this image is related to lift?\n",
      "3452 ) Which object in the image is used to sleep?\n",
      "3453 ) Which food in this image is created by vegetable?\n",
      "3454 ) Which vegetable dish can you see in this image?\n",
      "3455 ) What are these people using to float down this whitewater river ?\n",
      "3456 ) Which object in this image is capable of change to bed?\n",
      "3457 ) Which object in this image wants to nap?\n",
      "3458 ) Which thing does the place shown in this image have as a part?\n",
      "3459 ) Which objects in this image that the cat is sitting on can often be found on beds?\n",
      "3460 ) Which object in this image belongs to the category Beds?\n",
      "3461 ) Which object in this image can be used to rest on?\n",
      "3462 ) Which object in this image is the most complicated\n",
      "3463 ) Which object in this image can be found at a internet cafe\n",
      "3464 ) Which object in this image is a barrier against people and the elephant?\n",
      "3465 ) What thing is less loud than the object at the centre of this image?\n",
      "3466 ) Which object in this image is used for making music?\n",
      "3467 ) Which object in this image can be used for make music?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3468 ) What object is thrown at a baseball game?\n",
      "3469 ) Which object in this image desires more peanuts?\n",
      "3470 ) Which object in this image can usually be found in wood and jungle as well as swamp?\n",
      "3471 ) Which object in this image can be found in windy sky?\n",
      "3472 ) Which object in this image can be found in windy sky?\n",
      "3473 ) which object in this image belongs to the category 'service and dining?\n",
      "3474 ) Which type of liquid container is shown in this image ?\n",
      "3475 ) Which object in this image belongs to the category Water sports equipment?\n",
      "3476 ) Which Water sports equipment is used in this image ?\n",
      "3477 ) Which object in this image is a essential part of life?\n",
      "3478 ) What object can be used as seats?\n",
      "3479 ) Which object in this image is used to seat?\n",
      "3480 ) Which cuttlery in this image ist used for cutting?\n",
      "3481 ) which object in this image tastes yummy\n",
      "3482 ) Which object in this image is usually  used in Music of Switzerland?\n",
      "3483 ) Which object in this image is a type of glove?\n",
      "3484 ) Which object in this image is a place i take afternoon nap?\n",
      "3485 ) Which object in this image is a comfortable seat?\n",
      "3486 ) Which object in this image is a large comfortable seat?\n",
      "3487 ) Which object in this image can be played as an instrument?\n",
      "3488 ) Which object in this image is a traditional American food?\n",
      "3489 ) Which object described in this image is a kind of traditional american food?\n",
      "3490 ) Which mode of transport in the image is slower than a car?\n",
      "3491 ) Which mode of transport in the image is typically subsidized by state funds?\n",
      "3492 ) Which object in this image is an animal?\n",
      "3493 ) Which object in this image is an animal?\n",
      "3494 ) Which object in this image is related to a springbok?\n",
      "3495 ) Which object in this image is a part of computer?\n",
      "3496 ) Which object in this image is a component of computer?\n",
      "3497 ) which object on the left is better than desktop computer?\n",
      "3498 ) Which object in this image has a part frame?\n",
      "3499 ) Which object in this image is used for book storage?\n",
      "3500 ) What is one thing in this image that can be used for storage?\n",
      "3501 ) What thing in this image is capable of hunting a mouse?\n",
      "3502 ) What think does the animal in the image likes to chase?\n",
      "3503 ) what thing can you find in such a place shown in this image\n",
      "3504 ) where can you find the the place shown in this image\n",
      "3505 ) What object in this image is used for moving food into the mouth?\n",
      "3506 ) What object in this image is used for eating liquids?\n",
      "3507 ) Which object in this image contains a liquid?\n",
      "3508 ) What object in this image might be found in a cupboard?\n",
      "3509 ) What can likely be found in this place?\n",
      "3510 ) What objects can be used to slice vegetables in this image?\n",
      "3511 ) what object in this image is an edible plant\n",
      "3512 ) Which object in this image is edible plant\n",
      "3513 ) what object in this image is used to make sound louder?\n",
      "3514 ) What tool the man is holding?\n",
      "3515 ) Which object in this image is related to chopping\n",
      "3516 ) Which object in this picture is able to measure a distance\n",
      "3517 ) Which object in this image is the most related to measurement\n",
      "3518 ) Which object can guide your lines\n",
      "3519 ) Where is the object at the left bottom side can be found at?\n",
      "3520 ) Which desert in this image belongs to the category Foods?\n",
      "3521 ) Which desert in this image belongs to the category Foods?\n",
      "3522 ) What can I eat?\n",
      "3523 ) Which object in this image is related to a cornett?\n",
      "3524 ) Which object in this image is a part of forrest?\n",
      "3525 ) What can be found in this place?\n",
      "3526 ) What is the place in this image used for?\n",
      "3527 ) Which object in this image is more transportable than a desktop?\n",
      "3528 ) What is the vehicle in this image used for?\n",
      "3529 ) Who is in this image?\n",
      "3530 ) What seen here is shiny?\n",
      "3531 ) What object is the input device of computer?\n",
      "3532 ) Which object in this image is used as a input device for computer?\n",
      "3533 ) Which object in this image is used as a input device for computer?\n",
      "3534 ) Which object in this image is used as a input device for computer?\n",
      "3535 ) Which object in this image is used as a input device for computer?\n",
      "3536 ) What can be found at this place?\n",
      "3537 ) What can be found in this place?\n",
      "3538 ) What can be found in this place?\n",
      "3539 ) What is often found in this place?\n",
      "3540 ) What can be this place used for?\n",
      "3541 ) What is the place in this image used for?\n",
      "3542 ) Which object in this image is related to water taxi?\n",
      "3543 ) What is the place in this image used for?\n",
      "3544 ) What is the place in this image used for?\n",
      "3545 ) Which object in this image is a horse of course?\n",
      "3546 ) What animal in this image is carrying person?\n",
      "3547 ) What category does dog belongs to?\n",
      "3548 ) What is floating on water\n",
      "3549 ) which object in this image can float on water?\n",
      "3550 ) Which vehicle can float on water?\n",
      "3551 ) Which object in this image is capable of floating in water?\n",
      "3552 ) Which object in this image is capable of floating in water?\n",
      "3553 ) which object in this image can float on water?\n",
      "3554 ) Which object in this image has three valves\n",
      "3555 ) Which object will you select for playing music\n",
      "3556 ) Which object in this image desires trick others?\n",
      "3557 ) which tool in this image can be used to cutting?\n",
      "3558 ) Tell me which object in this image is a cutting tool\n",
      "3559 ) What is the tool in this image that is used for cutting?\n",
      "3560 ) Which object is red, amber and green?\n",
      "3561 ) Which object in this image is coloured red, amber and green?\n",
      "3562 ) Which object in this image are coloured red, amber and green\n",
      "3563 ) Which object in this image is coloured red, amber and green?\n",
      "3564 ) When this image is captured?\n",
      "3565 ) Which tool in this image can be used to hit a nail?\n",
      "3566 ) which tool in this image can be used to break glass?\n",
      "3567 ) Which thing in this picture is used for sailing?\n",
      "3568 ) Which object in the image is most related to fishermen?\n",
      "3569 ) Which object in this image is a vertical plane?\n",
      "3570 ) What thing in this image is a vertical plane?\n",
      "3571 ) Which object in this image is usually painted?\n",
      "3572 ) Which object in this image is better than a walkman?\n",
      "3573 ) Which object in this image is a product of the United States?\n",
      "3574 ) which object in this image can answer telephones?\n",
      "3575 ) which object in this image is capable of reading the bible?\n",
      "3576 ) which object in this image is capable of listening to music with earphones?\n",
      "3577 ) Which part in this image is related to lorry?\n",
      "3578 ) What in this image belongs to the category Industries?\n",
      "3579 ) which object in this image can make jokes?\n",
      "3580 ) which object in this image can give money to charity?\n",
      "3581 ) which object in this image can wash their hair?\n",
      "3582 ) which object in this image is capable of eating meat?\n",
      "3583 ) what object in this image is capable of dineing with other people?\n",
      "3584 ) which object in this image is capable of putting flowers in their hair?\n",
      "3585 ) which object in this image is capable of stepping over a sleeping cat?\n",
      "3586 ) what object in this image is capable of making tools?\n",
      "3587 ) which object in this image can dance by themselves?\n",
      "3588 ) what object in this image can throw a party?\n",
      "3589 ) Which object in this image is a comfortable space?\n",
      "3590 ) Which object in this image has the property of loyal to their owner?\n",
      "3591 ) What can be found in this place?\n",
      "3592 ) What device are you likely to find in a place such as this?\n",
      "3593 ) Which electronic device can be found in this place?\n",
      "3594 ) What kind of popular pet is sleeping in the bed in this image?\n",
      "3595 ) Which object in this image is a popular pet?\n",
      "3596 ) which object in this image usually has five fingers on each hand?\n",
      "3597 ) which objects in this image can experience pain?\n",
      "3598 ) which object in this image has four grandparents?\n",
      "3599 ) which object in this image is capable of smell?\n",
      "3600 ) Which animal in this image can be ride on?\n",
      "3601 ) What is typically brushed prior to be cut prior to be dried with the object in the image?\n",
      "3602 ) Which object in this image is used for playing the violin?\n",
      "3603 ) Which instrument in this image is played with a bow?\n",
      "3604 ) Which object on the left and in the right top corner in this image is capable of drying your hair?\n",
      "3605 ) Which action is less important than the action shown in this image\n",
      "3606 ) Which action is less important than the action shown in this image\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3607 ) Which object in this image can be used for hurt person?\n",
      "3608 ) Which object in this image is related to the category Sports?\n",
      "3609 ) Which furniture in this image belongs to the category Sleep?\n",
      "3610 ) which object in this image is the colour green?\n",
      "3611 ) what's on the desk?\n",
      "3612 ) Which electronic appliance is a telecommunication equipment?\n",
      "3613 ) What object in this image can be used as light source?\n",
      "3614 ) which object in this image is bigger than dog?\n",
      "3615 ) which object in this image is bigger than mouse?\n",
      "3616 ) Which animal in this image can live to be 200 years old\n",
      "3617 ) Who has the longest lives in the image?\n",
      "3618 ) Which animal in this image is called 'slow mover'\n",
      "3619 ) Which species that can be found in this image can hide in its shell\n",
      "3620 ) Usually what do you wear with the tie?\n",
      "3621 ) What is the name of the animal that has a hard shell\n",
      "3622 ) Which food in this image is sometimes called 'mystery meat'?\n",
      "3623 ) Which thing in this image might one open with a corkscrew?\n",
      "3624 ) Which object in this image might use a peripheral?\n",
      "3625 ) What is usually found in this place?\n",
      "3626 ) Which object in this image is related to SMS?\n",
      "3627 ) Which object in this image has a touchpad\n",
      "3628 ) What thing does the object at the bottom left side of this image have as a part?\n",
      "3629 ) Which object in this image has a touchpad?\n",
      "3630 ) Which object in this image desires professional satisfaction?\n",
      "3631 ) Which object in this image is for Personal computing?\n",
      "3632 ) hich object in this image is considered to belong to the cateogry Personal computing?\n",
      "3633 ) which object in this image belongs to the category 'water sports'?\n",
      "3634 ) Which object in this image is related to surf?\n",
      "3635 ) Which object in this image belongs to mobile computer?\n",
      "3636 ) Which object in this image have snow all the year long?\n",
      "3637 ) What thing in the image must be tuned frequently\n",
      "3638 ) What does an elephant has\n",
      "3639 ) which object in this image is more loyal than cat?\n",
      "3640 ) which object in this image is slower than car?\n",
      "3641 ) What is the electric appliance?\n",
      "3642 ) What is the electronic appliance in this image\n",
      "3643 ) Which animal in this image likes to catch things?\n",
      "3644 ) which object in this image is used to protect people from the rain?\n",
      "3645 ) Which object in this image can go very fast?\n",
      "3646 ) What is the animal in this image that smaller than human?\n",
      "3647 ) which object in this image can 'meow'?\n",
      "3648 ) What food in the image belongs to Irish cuisine?\n",
      "3649 ) which object in the image is a brass instrument?\n",
      "3650 ) Which object in this image is a form of transportation?\n",
      "3651 ) Which transportation topic is shown in this image?\n",
      "3652 ) Which transportation topic is shown in this image?\n",
      "3653 ) Which object in this image is a modern instrument?\n",
      "3654 ) which object in this image is more dangerous than car?\n",
      "3655 ) Which object in this image is more dangerous than a car?\n",
      "3656 ) what vehicle is safer than the vehicle in the image?\n",
      "3657 ) What thing is less dangerous than the object in the foreground of this image?\n",
      "3658 ) Which object in this image is capcable of cooling drinks?\n",
      "3659 ) What can be found in this place?\n",
      "3660 ) Which object in this image is used for playing songs?\n",
      "3661 ) Which object in this image belongs to the category Animal?\n",
      "3662 ) which kind of animal could we find in this picture\n",
      "3663 ) Which object in this image is a flat place to store items?\n",
      "3664 ) What team sport is shown in this image?\n",
      "3665 ) What team sport is this?\n",
      "3666 ) Which object in this image is a favorite food of many?\n",
      "3667 ) Which animal in this image is also used to travel?\n",
      "3668 ) What thing in this image might have cheese on it?\n",
      "3669 ) Which object in this image has cheese on it?\n",
      "3670 ) What object in this image is like a slug?\n",
      "3671 ) Which object in this image is a hermaphrodite?\n",
      "3672 ) Which object in this image might you find in a zoo?\n",
      "3673 ) Which object in this image is slimy?\n",
      "3674 ) In which country can the snake in the center of the image be found?\n",
      "3675 ) In what habitat are you likely to find the reptile depicted in this image?\n",
      "3676 ) which object in this image can we ride for fun\n",
      "3677 ) Which object in this image lives longer than mice?\n",
      "3678 ) which object in this image is longer lived than mice?\n",
      "3679 ) Which object in this image is related to tomato paste?\n",
      "3680 ) What is made with mild in this image?\n",
      "3681 ) Which object in this image has tusks?\n",
      "3682 ) Which object in this image has tusks?\n",
      "3683 ) Which object in the image is used to aid surfing?\n",
      "3684 ) What can likely be found in this place?\n",
      "3685 ) Which object in this image belongs to Italian cuisine?\n",
      "3686 ) which object in this image makes life easier than pans?\n",
      "3687 ) What thing does the place shown in this image have as a part?\n",
      "3688 ) What object in the image is a subclass of racket?\n",
      "3689 ) Which object in this image is capable of love?\n",
      "3690 ) Which object in this image is used to chill?\n",
      "3691 ) which object in this image can fly\n",
      "3692 ) Which object in this image might be a hazard?\n",
      "3693 ) What are the objects found in bus station?\n",
      "3694 ) Which object in this image might be used to grill a steak?\n",
      "3695 ) Which object in this image might be used to make cake?\n",
      "3696 ) Which object in this image is capable of enjoying music?\n",
      "3697 ) which liquid in this image is denser than alcohol?\n",
      "3698 ) Which will you select for chilling drinks\n",
      "3699 ) What is on the surface of the fruit in the image?\n",
      "3700 ) What is the mental thing in the image?\n",
      "3701 ) Which object in this image is capable of talking to a plant?\n",
      "3702 ) Which object in this image is typically American ?\n",
      "3703 ) which object in this image often want to do what they think\n",
      "3704 ) Which object in this image is used for keeping oneself dry?\n",
      "3705 ) Which object in this image is used for keeping yourself dry?\n",
      "3706 ) Which tool in this image can be used to keep body dry?\n",
      "3707 ) Which object in this image is an aircraft?\n",
      "3708 ) Which object in this image has a rudder?\n",
      "3709 ) Which object in this image is slower than an airplane?\n",
      "3710 ) Which animal in this image can be found in water?\n",
      "3711 ) Which object in this image is a mammal?\n",
      "3712 ) What thing is less independent than the object in the centre of this image?\n",
      "3713 ) What object is related to television?\n",
      "3714 ) What in this image is capable of tailing a criminal?\n",
      "3715 ) Which object in this image belongs to the category Kitchen?\n",
      "3716 ) Which object on the table is related to pizzeria?\n",
      "3717 ) Which object in this image is a kind of musical instrument?\n",
      "3718 ) Which musical instrument in this image belongs to the category Composite chordophones?\n",
      "3719 ) Which country invented the stuff that in the man's hand?\n",
      "3720 ) What object in this image is better than cake?\n",
      "3721 ) what object in this image contains chlorophyl?\n",
      "3722 ) Tell me the vehicle in this image which is usually higher than car \n",
      "3723 ) What is the object in the man's left hand used for\n",
      "3724 ) What thing can the object in this image do?\n",
      "3725 ) which object in this image can we use to chop wood\n",
      "3726 ) Which object in this image pertain to the category Matter?\n",
      "3727 ) What can be found in the place that the tortoise is swimming in?\n",
      "3728 ) What kind of pet is in this image?\n",
      "3729 ) Which popular food can you see in this image?\n",
      "3730 ) Which popular food is presented in this image?\n",
      "3731 ) what in this image is capable of kill bird?\n",
      "3732 ) what in this image is sensibler than dog?\n",
      "3733 ) Which animal in this image can be found in place?\n",
      "3734 ) what do the person stand on?\n",
      "3735 ) Where does the place in this image can be found in?\n",
      "3736 ) Where does the place in this image can be found in?\n",
      "3737 ) Which object in this image pertain to the category Woodworking?\n",
      "3738 ) Which object in this image is similar with a chair?\n",
      "3739 ) Which object in this image is a kind of chair?\n",
      "3740 ) Which object in this image pertain the category Human habitats?\n",
      "3741 ) What condiment does the hot dog in the middle have on it?\n",
      "3742 ) What salty knotted snack can be seen here?\n",
      "3743 ) Which object in this image is a salty knotted snack?\n",
      "3744 ) What stringed instrument is seen here?\n",
      "3745 ) Which thing in the image have many strings?\n",
      "3746 ) Which instrument has many strings?\n",
      "3747 ) Which thing in this image can be found in a birthday party\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3748 ) Which thing in the image likes to look out a window?\n",
      "3749 ) Which object in this image is capable of look out window?\n",
      "3750 ) Which things in this picture are pink?\n",
      "3751 ) Which object inside the mug in this image is related to Turkish coffee?\n",
      "3752 ) What is the place in this image used for?\n",
      "3753 ) which object in this image is capable of drinking a cappaccino?\n",
      "3754 ) Which object in this image has a long neck?\n",
      "3755 ) What object in this image has a long neck?\n",
      "3756 ) Which object in this image has longer neck?\n",
      "3757 ) Which thing shown in this image is generally less dark than a mature bull?\n",
      "3758 ) What in this image could form a sandbar?\n",
      "3759 ) Which kind of boardsport is shown in this image?\n",
      "3760 ) Which homeware in this image is used for comfort?\n",
      "3761 ) which object in this image can travel in a bus lane?\n",
      "3762 ) which object in this image is related to 'bus lane'?\n",
      "3763 ) which object in this image is a type of vehicle?\n",
      "3764 ) which object in this image is used for travelling between bus stops?\n",
      "3765 ) which object in this image could be descriped as a 'double-decker'?\n",
      "3766 ) which object in this image is a means of transportation?\n",
      "3767 ) which object in this image is a type vehicle?\n",
      "3768 ) What in this image is an instance of the category Vehicles?\n",
      "3769 ) which object in this image can be used to travel?\n",
      "3770 ) which object in this image is related to travel?\n",
      "3771 ) What are the people travelling with in this image?\n",
      "3772 ) Which objects in this image are made of wood?\n",
      "3773 ) Which object in this image is related to wood?\n",
      "3774 ) Which object in this image can hold drink?\n",
      "3775 ) Which object in this image is used for tighten loose screw?\n",
      "3776 ) which object in this image is capable of completing a senence?\n",
      "3777 ) which object in this image can taste salt?\n",
      "3778 ) which object in this image must eat to survive?\n",
      "3779 ) which object in this image is can decide on a place to live?\n",
      "3780 ) which object in this image can clean a messy room?\n",
      "3781 ) which object in this image can eat shrimp for dinner?\n",
      "3782 ) which object in this image is capable of having social gatherings?\n",
      "3783 ) which object in this image can read books for enjoyment?\n",
      "3784 ) what object in this image is capable of drinking coffee in the morning?\n",
      "3785 ) What can be driven on in this place?\n",
      "3786 ) Which object in this image has hair?\n",
      "3787 ) Which object in this image is able to see well in dark?\n",
      "3788 ) What can be found in this place?\n",
      "3789 ) Which object in this image is used for send email to others?\n",
      "3790 ) Which object in this image is capable of accelerating research?\n",
      "3791 ) Which device in this image belongs to the category computers?\n",
      "3792 ) What is the place in this image used for?\n",
      "3793 ) What is the place in this image capable of?\n",
      "3794 ) What is the place in this image used as?\n",
      "3795 ) Which object in this image belongs to the category furniture?\n",
      "3796 ) Normally you can find this food from where?\n",
      "3797 ) Which thing in this image is like a surfboard?\n",
      "3798 ) what object in this image is a woodwind instrument?\n",
      "3799 ) What thing in this image has frosting?\n",
      "3800 ) Which animal in the image are more loyal?\n",
      "3801 ) What in this image is related to snake pit?\n",
      "3802 ) Which animal in this image can be found in louisiana?\n",
      "3803 ) What in this image can be found in brush?\n",
      "3804 ) Which object in this image is used for health cares?\n",
      "3805 ) Which object in this image is dangerous?\n",
      "3806 ) Which animal in this image can be found in india?\n",
      "3807 ) Which object in this image is  king cobra?\n",
      "3808 ) Which object in this image can be found in an old box?\n",
      "3809 ) Which animal in this image can be found in kitchen?\n",
      "3810 ) Which animal in this image can be found in kansa?\n",
      "3811 ) Whether the food on the table is fried or not?\n",
      "3812 ) What is football used for\n",
      "3813 ) Which thin in the image can be used for carrying goods?\n",
      "3814 ) Tell me the name of the domestic animal in this image\n",
      "3815 ) What category does a horse belongs to\n",
      "3816 ) What category does coke belongs to?\n",
      "3817 ) Which object in this image is related to mutton?\n",
      "3818 ) Which object in this image might also be of the type pinstripe?\n",
      "3819 ) Which object in this image is used for telling the time?\n",
      "3820 ) Which object in this image indicates the passage of time?\n",
      "3821 ) Which object in this image has pointers called hands?\n",
      "3822 ) Which object in this image has pointers called hands?\n",
      "3823 ) Which object in this image is related to hour hand?\n",
      "3824 ) Which object in this image has a dial?\n",
      "3825 ) which object in this image are fun to learn to play\n",
      "3826 ) Which object in this image belongs to the category Sandwiches?\n",
      "3827 ) Which object in this image is a great pet?\n",
      "3828 ) What tool can be used to chop firewood?\n",
      "3829 ) What is the object is this image can be used for?\n",
      "3830 ) Which object in this image is a animal that hate water but like fish?\n",
      "3831 ) What object in this image can be used for physical exercise?\n",
      "3832 ) Which object in this image could be used for click fraud?\n",
      "3833 ) Which object in this image belongs to the category Headgear?\n",
      "3834 ) What in this image could make up a lawn?\n",
      "3835 ) Which object in this image is related to lawn?\n",
      "3836 )  Which object in this image constists out of frozen liquid?\n",
      "3837 ) Which object in this image belongs to Urban design?\n",
      "3838 ) Which object in this image is a citrus?\n",
      "3839 ) Which object in this image is crunchy?\n",
      "3840 ) What in this image has lips?\n",
      "3841 ) what can we see from the image\n",
      "3842 ) Which object in this image is related to bar of chocolate?\n",
      "3843 ) Which object in this image belongs to the category Digital device?\n",
      "3844 ) Which object in this image belongs to Digital electronics?\n",
      "3845 ) Which object in this image is prickly?\n",
      "3846 ) Which object in this image has a prickle?\n",
      "3847 ) Which Street food is shown in this image?\n",
      "3848 ) which kind of street food can we find in this image\n",
      "3849 ) Which object in this image is animal?\n",
      "3850 ) What thing seen here is expensive?\n",
      "3851 ) which object in this image is capable of eating fruit?\n",
      "3852 ) which object in this image is a common form of public transportation?\n",
      "3853 ) which object in this image is related to the category 'road vehicles'?\n",
      "3854 ) which object in this image can analyze characters in the play \n",
      "3855 ) What is the class of the animal in the middle of this image?\n",
      "3856 ) What is the class of the animal presented in this image?\n",
      "3857 ) Which object in this image is a ball?\n",
      "3858 ) Which object in this image can be used for create music?\n",
      "3859 ) Which object in this image is used for making music?\n",
      "3860 ) Which object in this image can be found in a chamber quartet?\n",
      "3861 ) What is the animal famous for?\n",
      "3862 ) Which object has air inside\n",
      "3863 ) which object in the image can protect one from the rain?\n",
      "3864 ) which object in this image can be used to protect someone from the rain?\n",
      "3865 ) What kind of machine the man choose to travel?\n",
      "3866 ) What thing in the image is used for travel?\n",
      "3867 ) What is the toy?\n",
      "3868 ) What object in this image is a furry mammal?\n",
      "3869 ) What's one thing here that can turn brown?\n",
      "3870 ) Which object in this image could also form a field?\n",
      "3871 ) What object in this image is a form of transportation?\n",
      "3872 ) Which object in this image is used to make music?\n",
      "3873 ) Which object in this image is used for beat?\n",
      "3874 ) Which object in this image belongs to the category Percussion instruments?\n",
      "3875 ) What can be found in this place?\n",
      "3876 ) Which object in this image can sometimes be found in the air?\n",
      "3877 ) Which object in this image is related to trumpet?\n",
      "3878 ) Which object in this image is related to trunk?\n",
      "3879 ) Which object in this image has a trunk?\n",
      "3880 ) What object can float on the water?\n",
      "3881 ) What is the object in the middle used for?\n",
      "3882 ) What is floating on the water?\n",
      "3883 ) Which object in this image is related to long string?\n",
      "3884 ) What does elephant belong to\n",
      "3885 ) What the cylinder object is used for?\n",
      "3886 ) Which object is likely to be found in a rainy place \n",
      "3887 ) What thing in this image can be used to shield yourself from rain if you must be outside\n",
      "3888 ) What object can shield yourself from rain?\n",
      "3889 ) Which object in this image is related to rain protection\n",
      "3890 ) Which animal is able to carry a trunk\n",
      "3891 ) Which object in this image is used to perform music?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3892 ) Which object in this image can be used to perform music\n",
      "3893 ) Which object in this image belongs to the category String instruments?\n",
      "3894 ) Which object in this image is related to pluck?\n",
      "3895 ) Which object in this image has a core?\n",
      "3896 ) Which animal can you see in this image?\n",
      "3897 ) Which object in this image tells you the time?\n",
      "3898 ) Which object in this image is used for boiling liquids like water?\n",
      "3899 ) Which sports equipment can you see in this image?\n",
      "3900 ) What object in this image is a type of sports equipment?\n",
      "3901 ) Which object in this image is a barrier?\n",
      "3902 ) Which kitchen tool in this image has the property of sharp and dangerous?\n",
      "3903 ) Which plant in this image is a green plant?\n",
      "3904 ) Which plant in this image is a green plant?\n",
      "3905 ) which plant in this image is less high than corn?\n",
      "3906 ) Which object in this image is capable of truk?\n",
      "3907 ) Which link is less important than the action shown in this image\n",
      "3908 ) what is it  in this image belongs to the category Grasslands?\n",
      "3909 ) what is it in this image is a policeman?\n",
      "3910 ) what is it in this image is related to pinto?\n",
      "3911 ) what is it in this image belongs to the category Central Asian culture?\n",
      "3912 ) Which object in this image has strings?\n",
      "3913 ) Which object in this image can be used to play bluegrass music?\n",
      "3914 ) What object in this image is part of transport infrastructure?\n",
      "3915 ) What kind of vehicle is very fast in this image.\n",
      "3916 ) Which object in this image is a form of transportation?\n",
      "3917 ) What is train\n",
      "3918 ) Which object in this image belongs to Street culture?\n",
      "3919 ) Which animal in this image is slower than car?\n",
      "3920 ) Which object in this image belongs to the category Food and drink in the United States?\n",
      "3921 ) Which object in this image can be related to Snack food?\n",
      "3922 ) Which sports equipment in this image is a roller sport?\n",
      "3923 ) Which object in this image is a big gray animal with a trunk?\n",
      "3924 ) which object in this image is a big, grey, animal with a trunk?\n",
      "3925 ) Which object in this image is a big gray animal with trunk?\n",
      "3926 ) Which object in this image is a big gray animal with trunk?\n",
      "3927 ) Which food in this image can be squeezed\n",
      "3928 ) What action do you need to play this game?\n",
      "3929 ) Which object in this image is related to throw?\n",
      "3930 ) Which object in this image can be thrown?\n",
      "3931 ) What thing in the image can run fast?\n",
      "3932 ) What object in this image is mostly carried by women?\n",
      "3933 ) Which object in this picture is used to play music?\n",
      "3934 ) What is the large instrument in the middle of the picture used for?\n",
      "3935 ) Which electronic device in the image can be used for advertising?\n",
      "3936 ) What object in this image is used for advertising?\n",
      "3937 ) Which object in this image is used for advertising?\n",
      "3938 ) Which object belongs to the category of Boxing?\n",
      "3939 ) Which object in this photo belongs to Martial arts?\n",
      "3940 ) Which object in this image belongs to the category Computers?\n",
      "3941 ) Which object in this image can used for protecting people\n",
      "3942 ) Which object in this image is like a bird?\n",
      "3943 ) What object in this image has doors?\n",
      "3944 ) What thing in the image has doors?\n",
      "3945 ) What is the flying vehicle in this image?\n",
      "3946 ) Which object in this image is used for transporting people or things more quickly than by road or rail?\n",
      "3947 ) Which object in this image can be driven?\n",
      "3948 ) Which object in this image can be driven?\n",
      "3949 ) What in this image might have a drawer?\n",
      "3950 ) which animal in this image is bigger than cat?\n",
      "3951 ) What herbivore is in this image?\n",
      "3952 ) What objects in this image want to eat peanuts?\n",
      "3953 ) What object is stronger than a mule in this image?\n",
      "3954 ) Which object in this image belongs to the category Fauna of Africa?\n",
      "3955 ) which object in this image is capable of eating cat food?\n",
      "3956 ) Which object in this image can be found in in living room?\n",
      "3957 ) What can be found in a restaurant kitchen?\n",
      "3958 ) Which object in this image  belongs to furniture?\n",
      "3959 ) What is an example of a piece of furniture in the image?\n",
      "3960 ) What in this image is related to tidy?\n",
      "3961 ) Which object in this image is capable of turn leave?\n",
      "3962 ) Which object in this image can seat a person?\n",
      "3963 ) Which object in this image is a seat?\n",
      "3964 ) What body part shown in this image may be used for laughing?\n",
      "3965 ) Which object in this image could be considered in the category of things related to Imaging?\n",
      "3966 ) What is usually found in this place?\n",
      "3967 ) Which object in this image can be found in the office?\n",
      "3968 ) Which vehicle in this image can fly?\n",
      "3969 ) Which object is capable of flight in this image?\n",
      "3970 ) which object in this image can risk doing something interesting\n",
      "3971 ) What can be found in this place?\n",
      "3972 ) What can be found in this place?\n",
      "3973 ) What object that is a type of instrument?\n",
      "3974 ) Which object can be used as an instrument?\n",
      "3975 ) Which object in this image can be found in office build\n",
      "3976 ) Which object in this image is used for data storage?\n",
      "3977 ) What in this image could reply to a letter?\n",
      "3978 ) Which object in this image is a stringed instrument?\n",
      "3979 ) Which type of string instrument is used in this image?\n",
      "3980 ) Which object in this image is capable of age in bottle?\n",
      "3981 ) What object can hold liquid?\n",
      "3982 ) What clothing is the man in the foreground wearing\n",
      "3983 ) Which object in this image is capable of live in wild?\n",
      "3984 ) Which object in this image is a good leaper?\n",
      "3985 ) what object in this image can cry?\n",
      "3986 ) what object in this image can cry form pain?\n",
      "3987 ) what type of sport is being played in this image?\n",
      "3988 ) what object in this image is capable of making lists?\n",
      "3989 ) which object in this image can run faster than cars\n",
      "3990 ) which object in this image is more efficient than bus?\n",
      "3991 ) what object in this image has sight?\n",
      "3992 ) what objects in this image are capable of learning to play the harmonica?\n",
      "3993 ) which object in this image is less powerful than desktop computer?\n",
      "3994 ) Which object in this image belongs to the category computing input equipments?\n",
      "3995 ) Which object in this image belongs to the category computing output device?\n",
      "3996 ) Which furniture in this image can be found in in office?\n",
      "3997 ) Where are the place in the image?\n",
      "3998 ) Which object in this image is related to green light?\n",
      "3999 ) What object is less social than the object in the left of this image?\n",
      "4000 ) What object in this image is independent?\n",
      "4001 ) What object in this image scratches furniture?\n",
      "4002 ) Which object in this image might be used to guard a house?\n",
      "4003 ) Which animal in the image can be used to guard animal?\n",
      "4004 ) What object in this image might be used for friendship?\n",
      "4005 ) Which animal in this image can jump very high?\n",
      "4006 ) Which animal in this image is related to pony?\n",
      "4007 ) which action in this image makes player feel more pressure than fun\n",
      "4008 ) What is the animal likes to eat?\n",
      "4009 ) Which object in this image is used for going down a river?\n",
      "4010 ) What is the heaviest thing in this picture?\n",
      "4011 ) What is the heaviest creature in this picture?\n",
      "4012 ) Which object in this image is sweet and juicy?\n",
      "4013 ) What is the sweet and juicy object in this image?\n",
      "4014 ) Which animal in this image has no feet\n",
      "4015 ) What living stuff in the image has no feet?\n",
      "4016 ) Which object in this image can be found in a hole in rocks\n",
      "4017 ) Which animal in this image is related to poison\n",
      "4018 ) Why people think this animal is dangerous?\n",
      "4019 ) which object in this image is capable of viewing a painting?\n",
      "4020 ) What is the object on the right of the screen can be used for?\n",
      "4021 ) Which friut in this image belongs to Rosoideae?\n",
      "4022 ) What is one object in this image which is nutritious?\n",
      "4023 ) which object in this image is capable of growing a plant?\n",
      "4024 ) What clothing are you likely to find on a beach?\n",
      "4025 ) which vehicle in this image is longer than car?\n",
      "4026 ) Which object in this image may be related to particle board?\n",
      "4027 ) What can be found in this place?\n",
      "4028 ) What in this image might be used with a nail?\n",
      "4029 ) Which object in this image is related to firewood?\n",
      "4030 ) Which object in this image is used for driving home nails?\n",
      "4031 ) What object in this image can be used to chop wood?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4032 ) What object in this image can be used to chop wood?\n",
      "4033 ) What object in this image can be used to chop wood?\n",
      "4034 ) Which object in this image is capable of chopping wood?\n",
      "4035 ) Which object in this image is capable of nailing boards?\n",
      "4036 ) Which object in this image can be used to nail board?\n",
      "4037 ) Which object in this image is used to nail wood?\n",
      "4038 ) What can you find on a beach that allows you to play sports?\n",
      "4039 ) Which object in this image belongs to the category Livestock?\n",
      "4040 ) What other objects are you likely to find at such a location?\n",
      "4041 ) What objects can be found in this place?\n",
      "4042 ) Which objects in this image may be known as avians?\n",
      "4043 ) Which object in this image is used for pounding nails?\n",
      "4044 ) Which object in this image can be used for pulling out nails\n",
      "4045 ) What do we usually wear when we doing this?\n",
      "4046 ) Which is faster in the image? the machine or the animal?\n",
      "4047 ) What kind of flower belongs to?\n",
      "4048 ) What is a bus used for\n",
      "4049 ) Which food is the most expensive?\n",
      "4050 ) which object in this image is capable of jumping onto a table or chair?\n",
      "4051 ) which object in this image is capable of drinking water?\n",
      "4052 ) which object in this image has fur?\n",
      "4053 ) which object in this image is capable of sensing things with their wiskers?\n",
      "4054 ) What is the place in this image used for?\n",
      "4055 ) which object in this image is a mammal?\n",
      "4056 ) Which object in this image has the property of good when make into pie?\n",
      "4057 ) Which object in this image is used for take bath in?\n",
      "4058 ) Which object in this image can flush?\n",
      "4059 ) Which musical instrument in this image belongs to the category String instrument?\n",
      "4060 ) Which object in this image is used for hold coffee?\n",
      "4061 ) What in this image can be used for hold coffee?\n",
      "4062 ) Which object in this image can be found in shop?\n",
      "4063 ) What vessel is seen here?\n",
      "4064 ) Which object in this image brewed?\n",
      "4065 ) What object in the image can be used as a secondary color?\n",
      "4066 ) which fruit in this image is tougher than orange?\n",
      "4067 ) What shown here is related to agriculture?\n",
      "4068 ) Which object in this image has a lid or cap?\n",
      "4069 ) Which object in this image can likely be found in any school?\n",
      "4070 ) Which object in this image has keys?\n",
      "4071 ) Which object in this image has a key\n",
      "4072 ) What kind of Road transport is used in this image?\n",
      "4073 ) What kind people are you likely to find in a ballroom?\n",
      "4074 ) What can be found in this place?\n",
      "4075 ) Which object in this image is capable of land in a lane?\n",
      "4076 ) What shown here can feel wet?\n",
      "4077 ) Which accessory in this image is a protection?\n",
      "4078 ) What do we use to cross over the body of water?\n",
      "4079 ) What is the color of the instruments?\n",
      "4080 ) What is the musical instruments in this image?\n",
      "4081 ) Which object in this image is related to signalling\n",
      "4082 ) Which object in this image is related to pedestrian crossing\n",
      "4083 ) which object in this image is more expensive than desktop?\n",
      "4084 ) Which object in this image is similar to dirt?\n",
      "4085 ) Which place is more important than the place shown in this image\n",
      "4086 ) What stuff belongs to balls?\n",
      "4087 ) Which object in this image is related to pine?\n",
      "4088 ) What is the object in the left side of this image used for?\n",
      "4089 ) What is the object in this image that is sometimes more convenient than a desktop computer?\n",
      "4090 ) Which object in this image is sometimes more convenient than a desktop computer?\n",
      "4091 ) Which object in this image is a pet?\n",
      "4092 ) which object in this image walks faster than human\n",
      "4093 ) What does a coffee maker used for\n",
      "4094 ) What is the class of the animal?\n",
      "4095 ) What is the order of the animal?\n",
      "4096 ) What kind of tail does the animal in the image has?\n",
      "4097 ) What is the phylum of the animal?\n",
      "4098 ) Does the food in the image contain more or less fat than muffin?\n",
      "4099 ) Whether this animal runs slower or faster than horse?\n",
      "4100 ) Tell me the name of the large musical instrument\n",
      "4101 ) Which object in this image is a large musical instrument?\n",
      "4102 ) Which tool will you choose from this image for fixing loose screws\n",
      "4103 ) Which object can be used to fix loose screws\n",
      "4104 ) which object in this image is an alcoholic drink?\n",
      "4105 ) which object in this image is related to goblet?\n",
      "4106 ) Which object in this image is related to goblet?\n",
      "4107 ) What in this image is less cheap than beer?\n",
      "4108 ) Which object in this image is related to wood carving?\n",
      "4109 ) which object in this image belongs to the category 'drinkware'?\n",
      "4110 ) which object in this image is related to alcohol?\n",
      "4111 ) Which object in this image is a sweet red fruit?\n",
      "4112 ) What is the red fruit in this image?\n",
      "4113 ) What can be likely found in a music studio?\n",
      "4114 ) What musical instrument can be found in this place?\n",
      "4115 ) What musical instrument can be found in this place?\n",
      "4116 ) Which object in this image is used for create music?\n",
      "4117 ) What instrument can be found in the living room?\n",
      "4118 ) What instrument can be found in the living room?\n",
      "4119 ) What instrument can be found in the living room?\n",
      "4120 ) Which fruit on the left is more acidic than grapefruit?\n",
      "4121 ) which kind of fruit is in this image\n",
      "4122 ) Which object in this image is a fruit?\n",
      "4123 ) How colour dominates this image?\n",
      "4124 ) Which object in this image belongs to the category Mechanical engineering?\n",
      "4125 ) What is the tool in the image used in forestry occupations?\n",
      "4126 ) Which object in this image has a back you can lean against?\n",
      "4127 ) Which furniture in this image has a part of back which you can lean against?\n",
      "4128 ) Which furniture in this image has a part of back which you can lean against?\n",
      "4129 ) Which furniture in this image has a part of back which you can lean against?\n",
      "4130 ) Which furniture in this image has a part of back which you can lean against?\n",
      "4131 ) Which furniture in this image has a part of back which you can lean against?\n",
      "4132 ) Which furniture in this image has a part of back which you can lean against?\n",
      "4133 ) Which furniture in this image has a part of back which you can lean against?\n",
      "4134 ) What is one thing that can likely be found in this place?\n",
      "4135 ) What is the object in the image used for?\n",
      "4136 ) Which object in this image is related to fly?\n",
      "4137 ) Which object in this image is capable of mastering new skills?\n",
      "4138 ) which object in this image  can we eat with green pepper\n",
      "4139 ) which object in this image is the similar animal to ape\n",
      "4140 ) What to use in this image to cross the street?\n",
      "4141 ) What are the stripes on the right used for?\n",
      "4142 ) What can the location in the image be used for?\n",
      "4143 ) which object in this image is smaller than automobile?\n",
      "4144 ) Which vehicle in this image is smaller than automobile?\n",
      "4145 ) Which food can you see in this image?\n",
      "4146 ) Which object in the centre of this image belongs to the category Food?\n",
      "4147 ) What is the food in the image\n",
      "4148 ) Which object in this image is the most related to ball\n",
      "4149 ) Which object in this image is related to tennis balls?\n",
      "4150 ) What is the glass on the table for?\n",
      "4151 ) What is the name of the cloned one of the animal in the image?\n",
      "4152 ) What is the name of the fur of the animal in the image?\n",
      "4153 ) Whether this meal is normally cheaper or more expensive than steak?\n",
      "4154 ) what object in this image can you find at a beach?\n",
      "4155 ) What light sources are on the table?\n",
      "4156 ) Which object in this image belongs to the category MP3?\n",
      "4157 ) which object in this image is usually less powerful than desktop?\n",
      "4158 ) Which object in this image may be found at my desk?\n",
      "4159 ) Which object in this image belongs to the category of  Metalworking?\n",
      "4160 ) What is usually found at this place?\n",
      "4161 ) Which object in this image belongs to the category Sandwiches?\n",
      "4162 ) How many legs does the animal in the image have?\n",
      "4163 ) Whether the game in the image is a team sport or not?\n",
      "4164 ) What team sport is being played here?\n",
      "4165 ) What is the round object used for?\n",
      "4166 ) What is the game are they playing?\n",
      "4167 ) which object in this image is related to fire?\n",
      "4168 ) Why the candle is used hear?\n",
      "4169 ) What is the difference between the fruit in the image and the strawberry?\n",
      "4170 ) Which thing in the image can catch the wind?\n",
      "4171 ) What in this image is capable of catch wind?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4172 ) Which object in this image is catching wind?\n",
      "4173 ) Which object in this image can catch the wind?\n",
      "4174 ) Which object in this image is capable of holding water\n",
      "4175 ) What is in the bottle?\n",
      "4176 ) What is in the bottle?\n",
      "4177 ) which object in this image can wave goodbye?\n",
      "4178 ) Which object in this image may be used to sit\n",
      "4179 ) Which object in this photo is for sitting down\n",
      "4180 ) Which object in this image is the most related to meat\n",
      "4181 ) Which animal in this image is man's best friend?\n",
      "4182 ) Which object in this image can fold up?\n",
      "4183 ) Which object in this image is capable of reach to city?\n",
      "4184 ) Which object in this image is used for going to school?\n",
      "4185 ) which object in this image is more frequent than train?\n",
      "4186 ) What object in this image is safer than a car?\n",
      "4187 ) What object in this image can be found in the sky?\n",
      "4188 ) Which vehicle in this image can be found in in sky?\n",
      "4189 ) What object in this image is expensive?\n",
      "4190 ) Which object in this image is a vehicle type?\n",
      "4191 ) What is the name of the popular sport?\n",
      "4192 ) Which object in this image has a screw cap?\n",
      "4193 ) Which object in this image is used to keep liquid in?\n",
      "4194 ) Which thing in the image can be used for keeping liquid in?\n",
      "4195 ) Which object in this image is a pack animal?\n",
      "4196 ) Which object in this image is related to hair gel?\n",
      "4197 ) Which furniture in this image has cushions?\n",
      "4198 ) which object in this image is capable of washing itself?\n",
      "4199 ) Which object in this image is used to clean eating implements?\n",
      "4200 ) Which object in this image can be open or closed?\n",
      "4201 ) Where does the place in this image can be found in?\n",
      "4202 ) Where does the place in this image can be found in?\n",
      "4203 ) Which object in this image doesn't like to get wet?\n",
      "4204 ) Which object in this image has the property of very popular in some countries?\n",
      "4205 ) Which object in this image has the property of very popular in some countries?\n",
      "4206 ) Which object in this image is for birthdays?\n",
      "4207 ) Which computer can you see in this image?\n",
      "4208 ) what does the object held in the woman's hand has as a part\n",
      "4209 ) What thing does the object in the middle of this image has as  a part\n",
      "4210 ) what can be found in mall n this image\n",
      "4211 ) which object in this image is capable of washing dishes?\n",
      "4212 ) which object in this image is capable of wearing a sweater?\n",
      "4213 ) which object in this image can feel both physical and emotinal pain?\n",
      "4214 ) Which object in this image can be found in pizza store?\n",
      "4215 ) which object in this image is capable of stocking food?\n",
      "4216 ) what object in this image like to spend time time with loved ones?\n",
      "4217 ) which object in this image stands on feet?\n",
      "4218 ) which object in this image can wave hello or goodbye?\n",
      "4219 ) which object in this image can have a pet animal?\n",
      "4220 ) which object in this image can have a pet animal?\n",
      "4221 ) Which object in this image has the property of feline?\n",
      "4222 ) what can you find in the place shown in this image\n",
      "4223 ) which animal in this image is shorter than shark?\n",
      "4224 ) Which object in this image could be used to bang on something?\n",
      "4225 ) What is the object at the very top of this image used for?\n",
      "4226 ) What can be found in this place?\n",
      "4227 ) Who can arrest people in this image?\n",
      "4228 ) which object in this image is alive?\n",
      "4229 ) which object in this image is alive?\n",
      "4230 ) which object in this image can run a shop?\n",
      "4231 ) Which object in this image is sweet juicy fruit?\n",
      "4232 ) What is the sweet, juicy object in this image?\n",
      "4233 ) What can be found in this place?\n",
      "4234 ) Which object in the image are used to put food on?\n",
      "4235 ) Which object in this image can sometimes be degaussed?\n",
      "4236 ) Which object in this image is capable of appear tire?\n",
      "4237 ) Which object in this image desires to hunt mice and birds?\n",
      "4238 ) what object is shown in the bottom of the image?\n",
      "4239 ) Which object in this image is used for exercise?\n",
      "4240 ) In this image, which object is related to metal?\n",
      "4241 ) Which thing in the image has channels?\n",
      "4242 ) Which object in this image is used for napping\n",
      "4243 ) Where are these animals come from? \n",
      "4244 ) Which object in this image can be found in Africa?\n",
      "4245 ) Where does the object in the image usually can be found in?\n",
      "4246 ) Where can you find the objects in the centre of this image?\n",
      "4247 ) what in this image is less effective than dry?\n",
      "4248 ) Which part of the animal can hurt people?\n",
      "4249 ) what object in this image is used to fight fires?\n",
      "4250 ) Which object in this image has a mouse wheel?\n",
      "4251 ) What does the object in the lower left of this image have as a part?\n",
      "4252 ) Which object in this image could likely be moved by a bellhop?\n",
      "4253 ) What mammal is in the image?\n",
      "4254 ) Which object in this image is round and crusty on the outside?\n",
      "4255 ) what is the use of the place shown in this image\n",
      "4256 ) Which object in this image has shallow roots?\n",
      "4257 ) Where is this place?\n",
      "4258 ) Which object in this image is used for safety reasons?\n",
      "4259 ) Which object in this image has a ram\n",
      "4260 ) Which object in this image has RAM?\n",
      "4261 ) Which object in this image is a something like a long chair?\n",
      "4262 ) What property does the place in this image have?\n",
      "4263 ) Which object in this image is a non-polluting form of transport?\n",
      "4264 ) Which object in this image has numbers on it?\n",
      "4265 ) Which object in this image is a bass string instrument use to play classical music?\n",
      "4266 ) Which object in this image belongs to the class fragaria?\n",
      "4267 ) Which object in this image belongs to the category Fruit?\n",
      "4268 ) Which object in this image is used to hold beverages?\n",
      "4269 ) What object can be used to hold beverages?\n",
      "4270 ) Which object in this image contains bromelain?\n",
      "4271 ) Which object in this image is like a small plantain?\n",
      "4272 ) Which object in the image wants to go through life happy?\n",
      "4273 ) What automobile in the image is larger than a car?\n",
      "4274 ) Name a place that produces more food than the one shown in the image\n",
      "4275 ) Which object in this image can be typed on?\n",
      "4276 ) Which object in this image has a control key?\n",
      "4277 ) Which object in this image is a heavy duty vehicle?\n",
      "4278 ) What can be clicked in this image?\n",
      "4279 ) What is the place in this image used for?\n",
      "4280 ) Which vehicle in this image has wheels and can transport many person at one time?\n",
      "4281 ) which object in this image is able to use a pencil for drawing\n",
      "4282 ) Name the mammal in the image.\n",
      "4283 ) What object in this image is alcoholic?\n",
      "4284 ) What is the object that is long and travelling on the road used for?\n",
      "4285 ) What might one find in this appliance?\n",
      "4286 ) What object in this image is a kitchen tool?\n",
      "4287 ) What thing in the image can jump higher than people?\n",
      "4288 ) Which musical instrument in this image has 5-7 strings?\n",
      "4289 ) Which object in this image can be used for ball games?\n",
      "4290 ) Which object in this image is a brass instrument?\n",
      "4291 ) What object in this image is longer than a car?\n",
      "4292 ) Where can you find the large object in the back of this image?\n",
      "4293 ) What object in this image is bigger than a car?\n",
      "4294 ) which object in this image is bigger than car?\n",
      "4295 ) Which object in this image is used to travel a short distance?\n",
      "4296 ) When this game is introduced?\n",
      "4297 ) When the yellow round thing is invented?\n",
      "4298 ) What object  shown in this image has wire?\n",
      "4299 ) Which object in this image is related to vehicle?\n",
      "4300 ) what thing has less fat than the object in the middle of this image?\n",
      "4301 ) what thing is less safe than the object  in the middle in this image?\n",
      "4302 ) Which object in this image is related to rain ?\n",
      "4303 ) Which object in this image contains meat?\n",
      "4304 ) which object in this image can guard a building?\n",
      "4305 ) which object in this image can guard a building?\n",
      "4306 ) Which object in this image is capable of speaking a language?\n",
      "4307 ) which object in this image can shake hands?\n",
      "4308 ) which object in this image can shake hands?\n",
      "4309 ) Which object in this image can be found in a forest?\n",
      "4310 ) What thing shown is related to a lower jaw?\n",
      "4311 ) Which object in this image is part of a lower jaw?\n",
      "4312 ) Which Keyboard instruments is used in this image?\n",
      "4313 ) which object in this image has a nose?\n",
      "4314 ) What object in this image can be found in an oven?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4315 ) Which object in the center can be found in in oven?\n",
      "4316 ) What's something that can be found at this place?\n",
      "4317 ) Which object in this image is used for sliding?\n",
      "4318 ) Which object in this image is for sitting?\n",
      "4319 ) What object in this image is used for sitting on?\n",
      "4320 ) Which object in this image is capable of protecting you from the sun?\n",
      "4321 ) What is the cake in image made of?\n",
      "4322 ) Which music instrument in this image makes it look cool?\n",
      "4323 ) Which object in this image is used to play jazz music?\n",
      "4324 ) Which object in this image is usually used in jazz music?\n",
      "4325 ) Which appliance will you use in order to print documents\n",
      "4326 ) Which object in this image is a root vegetable?\n",
      "4327 ) What seafood is shown here?\n",
      "4328 ) What color of the blood does the animal in the image has?\n",
      "4329 ) What delicacy is seen in this picture?\n",
      "4330 ) What can be found in this image?\n",
      "4331 ) What object in this image is an octagon?\n",
      "4332 ) Which object in this image is an octagon?\n",
      "4333 ) Which object in this image is closely related to music\n",
      "4334 ) What object might be found at a street corner in this image?\n",
      "4335 ) What object in this image can be found at a street corner?\n",
      "4336 ) Which object in this image belongs to the category Home video game consoles?\n",
      "4337 ) What can be found in this image?\n",
      "4338 ) Which object in this image is considered fragile?\n",
      "4339 ) what object in this image can be used for transportation at sea?\n",
      "4340 ) which object in this image can be used for floating and moving on water?\n",
      "4341 ) Which object in this image belongs to the category Water development and sustainability?\n",
      "4342 ) what object in this image is used for crossing an ocean?\n",
      "4343 ) What can be found in this room?\n",
      "4344 ) What can be found in this kitchen?\n",
      "4345 ) Which object in this image is related to output?\n",
      "4346 ) Which object in this image is output device?\n",
      "4347 ) Which food in this image is also used to name a color?\n",
      "4348 ) Which object in this image is related to parsnip?\n",
      "4349 ) What in this image is related to easter eggs?\n",
      "4350 ) what object in this image is capable of being in liquid, ice, or steam form?\n",
      "4351 ) Which object in this image is a beast of burden?\n",
      "4352 ) Which object in this image can have a higher speed than horse?\n",
      "4353 ) Which object in this image belongs to a human being?\n",
      "4354 ) Which object of this image has hair\n",
      "4355 ) What body part in this image has hair?\n",
      "4356 ) Which object in this image contains brain?\n",
      "4357 ) Which object is used to make a rhythm\n",
      "4358 ) Which object in this image is used for making a rhythm?\n",
      "4359 ) Which instrument in this image is the most related to rock\n",
      "4360 ) Which object in this image is used for staying dry?\n",
      "4361 ) What the baseball bat looks like?\n",
      "4362 ) Which object in this image is a long round tapered object?\n",
      "4363 ) What is the elephant in the image used for?\n",
      "4364 ) What do baseball gloves belong to\n",
      "4365 ) Which object in this image is good in the rain?\n",
      "4366 ) Which object in this image is used for keeping rain off?\n",
      "4367 ) Which object in this image usually has white keys?\n",
      "4368 ) What in this image is most closely related to tabbouleh?\n",
      "4369 ) Which object in this image could be used to hold flowers?\n",
      "4370 ) Which object in this image is used for hold flower?\n",
      "4371 ) Which object in this image belongs to the category Edible plants?\n",
      "4372 ) Which object in this image desires the pure truth?\n",
      "4373 ) Which object in this image is a living thing?\n",
      "4374 ) What shown here can eat almost anything?\n",
      "4375 ) Which object in this image is a playful aquatic mammal?\n",
      "4376 ) Which thing in this image belongs to the category Phenomena?\n",
      "4377 ) Which thingin this image belongs to the category Health care?\n",
      "4378 ) Which object in this image is related to transportation?\n",
      "4379 ) Which object in this image belongs to the category Eyewear?\n",
      "4380 ) What item of eyewear is in this image?\n",
      "4381 ) What object in the image is considered a consumer good?\n",
      "4382 ) Which thing in this image belongs to the category Headgear by nationality?\n",
      "4383 ) Which thing in this image belongs to the category Medical doctors by specialty?\n",
      "4384 ) Which thing in this image belongs to the category Physician?\n",
      "4385 ) Which object in this image has the property of hard to play?\n",
      "4386 ) What is the team made of ?\n",
      "4387 ) Which object in this image moves slowly?\n",
      "4388 ) Which object in this image is for Entertainment?\n",
      "4389 ) What in this image is for playing?\n",
      "4390 ) Which kind of vehicle is in this image?\n",
      "4391 ) Which object in this image is a musical instrument?\n",
      "4392 ) What object is cheaper than taxi?\n",
      "4393 ) which object in this image is less active than goat?\n",
      "4394 ) Which object in this image contains text and images?\n",
      "4395 ) Which object in this image contains text and images?\n",
      "4396 ) which object in this image is capable of streaming music?\n",
      "4397 ) Which object in this image is a tennis equipment?\n",
      "4398 ) which object in this image is a marine animal?\n",
      "4399 ) Which instrument shown in this image is the most related to string\n",
      "4400 ) what object in this image runs slower than a desktop?\n",
      "4401 ) Which object is usually used for playing in a band\n",
      "4402 ) Which instrument in this image is usually used in polka music\n",
      "4403 ) Which object in this image is like a hand-held piano\n",
      "4404 ) What is the round thing on the table is used for?\n",
      "4405 ) which object in this image is faster than man?\n",
      "4406 ) What could you sleep on ?\n",
      "4407 ) How many keys does the instrument in the image has?\n",
      "4408 ) Which thing in the image can make beautiful sounds?\n",
      "4409 ) What is the name of the animal with a brittle, spiral shell\n",
      "4410 ) Which object in this image has a nose?\n",
      "4411 ) which object in this image uses nose for breathing\n",
      "4412 ) Whether the animal in the image runs slower or faster than a bicycle?\n",
      "4413 ) If you need to select an object that is related to time, which one you will choose?\n",
      "4414 ) What thing in this image is the most related to time\n",
      "4415 ) What in this image has a stalk?\n",
      "4416 ) Which object in this image is capable of innocently knock thing off table?\n",
      "4417 ) which object in this image is the second best friend of human\n",
      "4418 ) Which object in this image can be found in neighborhood?\n",
      "4419 ) which kind of mammal can you find in this image\n",
      "4420 ) Which object in this image is used for food storage?\n",
      "4421 ) Which object in this image is also a colour of the rainbow?\n",
      "4422 ) Which object in this image is used for strumming?\n",
      "4423 ) What stuff in the image is used to list food?\n",
      "4424 ) Which object in this image is used for lift food?\n",
      "4425 ) which object in this image can taste ice cream?\n",
      "4426 ) which object in the image has a nose on their face?\n",
      "4427 ) which object in this image is capable of loosing their temper?\n",
      "4428 ) Which object can be classified into the category of Food and drink in Canada?\n",
      "4429 ) Which area is likely to be colder than this place?\n",
      "4430 ) Which object in this image is a personal transportation vehicle?\n",
      "4431 ) Which object in this image is created by flour?\n",
      "4432 ) Which object in this image can be used to carry things?\n",
      "4433 ) Where is the place in this image likely to be found?\n",
      "4434 ) What is inside of the fruit in the image?\n",
      "4435 ) Which object in this image is related to plectrum?\n",
      "4436 ) Where does the object in the image can be found in?\n",
      "4437 ) Which object in this image is used to pass on what author knows?\n",
      "4438 ) What thing in this image can be used for passing on what author knows\n",
      "4439 ) Which object in this image is used for holding book?\n",
      "4440 ) Which object in this image is used to hold books?\n",
      "4441 ) Which object in this image can shed?\n",
      "4442 ) which object in this image is more compact than a desktop computer?\n",
      "4443 ) Which object in this image is usually more compact than desktop?\n",
      "4444 ) Which musical instrument in this image can be found in rock band?\n",
      "4445 ) Which object in this image is used for playing songs?\n",
      "4446 ) Which object in this image is used for playing songs?\n",
      "4447 ) What small mammal is in this image?\n",
      "4448 ) What small mammal is in this image?\n",
      "4449 ) Which object in the background is used for mass transportation?\n",
      "4450 ) Which object in this image is used for mass transportaion?\n",
      "4451 ) Which kind of mass transportaion is used in this image?\n",
      "4452 ) Which object in this image can be used for sandwiches?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4453 ) which animal in this image is more independent than dog?\n",
      "4454 ) Which object in this image can be found in a can full of them?\n",
      "4455 ) What kind of Ball games is played in this image?\n",
      "4456 ) What can vibrate in this image?\n",
      "4457 ) Which object in this image is related to making a call?\n",
      "4458 ) What sport is kind of good exercise?\n",
      "4459 ) Which object in this image is a majestic creature?\n",
      "4460 ) Which object in this image belongs to Public services?\n",
      "4461 ) Which drink in this image is related to prosecco?\n",
      "4462 ) which kind of friendly animal can be seen in this picture\n",
      "4463 ) Which object in this image can be typed upon?\n",
      "4464 ) Which object in this image can be typed upon?\n",
      "4465 ) which object in this image can die from infection?\n",
      "4466 ) which object in this image is capable of reading letters?\n",
      "4467 ) which object in this image can drink coffee?\n",
      "4468 ) Which object in the image is related to ping pong ball?\n",
      "4469 ) Which object in this image is capable of store food for long time?\n",
      "4470 ) Which object in this image might sometimes be found in a string quartet?\n",
      "4471 ) Which objects in this image might be found at a supermarket?\n",
      "4472 ) Which objects in this image are capable of sitting around a table?\n",
      "4473 ) Which object in this image is related to roaming?\n",
      "4474 ) Which object in this image is a type of fermented milk?\n",
      "4475 ) Which object in this image is often considered unhealthy?\n",
      "4476 ) Whether this food is considered healthy or unhealthy?\n",
      "4477 ) Whether the food the man is eating healthy or not?\n",
      "4478 ) Which object in the image is related to Normandy pippins?\n",
      "4479 ) Which round object in this image is a piece of fruit?\n",
      "4480 ) Which round object in this image is a piece of fruit?\n",
      "4481 ) What round object is in this image?\n",
      "4482 ) What object in this image is found in a grocery store?\n",
      "4483 ) which object is weaker than desktop?\n",
      "4484 ) What is the room used for?\n",
      "4485 ) What is the room in this image used for?\n",
      "4486 ) What can be found in this room?\n",
      "4487 ) What can be found in this place?\n",
      "4488 ) What thing does the place shown in this image have as a part?\n",
      "4489 ) What can be found in the right top of this image around the table?\n",
      "4490 ) What object is used for party?\n",
      "4491 ) Where is cake found at?\n",
      "4492 ) Whether the animal in the image is taller or shorter than elephant?\n",
      "4493 ) Which animal in this image is taller than elephant\n",
      "4494 ) What can you use in the image to spin on your finger?\n",
      "4495 ) Which part of the machine in the image can be used for typing?\n",
      "4496 ) Which object in this image can be used for cutting\n",
      "4497 ) Which object in this image is used for cutting \n",
      "4498 ) Which object in this image is more efficient than a grill?\n",
      "4499 ) Which object in this image is very big?\n",
      "4500 ) Which object in this image is related to urn?\n",
      "4501 )  Which object in this image is a furniture that can load-bearing person?\n",
      "4502 ) Which object in the image is related to archery?\n",
      "4503 ) Which object in this image is related to birthday party?\n",
      "4504 ) What do you need to play with this instrument?\n",
      "4505 ) What kind of Game equipment is used in this image?\n",
      "4506 ) Which object in this image is used for celebrate someone's birthday?\n",
      "4507 ) Which object in this image can produce a musical sound?\n",
      "4508 ) Which sports equipment can you see in this image?\n",
      "4509 ) Tell me a thing shown in this image that can be used to play beautiful music\n",
      "4510 ) Which object in this image is able to play beautiful music\n",
      "4511 ) What object in the image is related to computer?\n",
      "4512 ) Which object in this image is capable of causing floods?\n",
      "4513 ) Which object in this image can be used for making bluegrass music?\n",
      "4514 ) which object in this image can we always buy in the supermarket\n",
      "4515 ) Which animal in this image is a human best friend?\n",
      "4516 ) Which object in this image is used for keeping warm at night?\n",
      "4517 ) What are the people driving?\n",
      "4518 ) Which object in this image is used for transport?\n",
      "4519 ) What thing shown here has yellow flesh?\n",
      "4520 ) Which object in this image belongs to the class Bromeliaceae cultivar?\n",
      "4521 ) Which object in this image has a result in communication revolution?\n",
      "4522 ) Which object in this image is a kind of weight?\n",
      "4523 ) Which vegetable in this image is very nutritious?\n",
      "4524 ) What object in the image is similar to a notebook computer?\n",
      "4525 ) Which object can be switched off?\n",
      "4526 ) What in the image is a specific instance of a table?\n",
      "4527 ) What thing does the place shown in this image have as a part?\n",
      "4528 ) Which object in this image belongs to the category Classes of computers?\n",
      "4529 ) What shown here has a fur?\n",
      "4530 ) where can we find such a place shown in this image\n",
      "4531 ) Which object in this image can be used to play tennis?\n",
      "4532 ) What object in this image can be used to play tennis?\n",
      "4533 ) Which object in this image is used to play tennis?\n",
      "4534 ) which electronic object in this image is smaller than a desktop computer?\n",
      "4535 ) Which thing is rectangle?\n",
      "4536 ) What in this image has the property of rectangular?\n",
      "4537 ) What animal is sleeping?\n",
      "4538 ) Which object in this image is a place to put books?\n",
      "4539 ) Which object in this image is used for storing novels?\n",
      "4540 ) Which object in this image is used for book storage?\n",
      "4541 ) Which object in this image can be read for pleasure?\n",
      "4542 ) Which object in this image has two wheels and pedals?\n",
      "4543 ) Which object in this image has a two wheels and pedals?\n",
      "4544 ) Which object in this image is known as bike?\n",
      "4545 ) Which object in this image is a human power form of transportation?\n",
      "4546 ) Which object in this image is a human powered form of transportation?\n",
      "4547 ) Which object in this image is related to shooting?\n",
      "4548 ) What stuff can be used to hold water?\n",
      "4549 ) Which thing in the image can be used to hold water?\n",
      "4550 ) What does an athlete has\n",
      "4551 ) Is a fig bigger than a watermelon?\n",
      "4552 ) Which object in this image belongs to the category Fruit?\n",
      "4553 ) What the toy in the image is attached on?\n",
      "4554 ) Tell me the object in this image which is safer than truck\n",
      "4555 ) Which one is cooler? this one or the car\n",
      "4556 ) what is weapon in the image?\n",
      "4557 ) Which object in this image is used for rest upon?\n",
      "4558 ) which object in this image comes from the subclass of edible fruit\n",
      "4559 ) Which object in this image is used for picking up food?\n",
      "4560 ) Which object in this image is used for picking up food?\n",
      "4561 ) Which object in this image is often found together with knife and spoon?\n",
      "4562 ) Which object in this image is used for lifting food from plate to mouth?\n",
      "4563 ) foods belongs to the category of Sociology of culture\n",
      "4564 ) Which vehicle in this image is used for driving?\n",
      "4565 ) Which object in this image has wheels?\n",
      "4566 ) Which object in this image is round?\n",
      "4567 ) Which object in the image is able to stand on the ground?\n",
      "4568 ) What type of stationary are you likely to find in an office?\n",
      "4569 ) Which object in the image is more useful than a typewriter?\n",
      "4570 ) Which object in this image is related to human?\n",
      "4571 ) What is one other thing that can sometimes be found in this place?\n",
      "4572 ) Which kind of land vehicles is shown in this image ?\n",
      "4573 ) Which object in this image belongs to the category Land vehicles?\n",
      "4574 ) Which object in this image belongs to the category Boxing?\n",
      "4575 ) What is the object in the hand used for?\n",
      "4576 ) Which object in this image is a type of headgear?\n",
      "4577 ) What prominent object in this image is an item of kitchenware?\n",
      "4578 ) Which object in this image can be related to interrupt requests?\n",
      "4579 ) Which object in this image can be played by a violinist?\n",
      "4580 ) What can you use to have fun ?\n",
      "4581 ) Which object in the image can be classified as Garden plants?\n",
      "4582 ) Which object in this image is used for laze?\n",
      "4583 ) Which object in this image is an enclosed container for liquids?\n",
      "4584 ) Which object in this image is for ball games?\n",
      "4585 ) what is it in this image belongs to the category Subcultures?\n",
      "4586 ) what is it belongs to the category Hominina?\n",
      "4587 ) What  does the place shown in this image have as a part?\n",
      "4588 ) What can be found in this image?\n",
      "4589 ) What property does the place in this image usually have?\n",
      "4590 ) Which object in this image has a paw\n",
      "4591 ) Which objects in this image have wheels?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4592 ) Which object in this image is used for slicing?\n",
      "4593 ) What the thing in the image is used for?\n",
      "4594 ) Which object in this image has a twelve number\n",
      "4595 ) How many numbers does the clock on the wall has?\n",
      "4596 ) Which object in this image is a caffeinated beverage?\n",
      "4597 ) Which object in this image is a leaf vegetable?\n",
      "4598 ) Which object in this image is related to packed lunch?\n",
      "4599 ) What kinds of vehicle is presented in this image?\n",
      "4600 ) Which animal in this image can be found in beach?\n",
      "4601 ) what object in this image sometimes has fish in it?\n",
      "4602 ) Where can a surfboard found at\n",
      "4603 ) Which object in this image is better than chopstick\n",
      "4604 ) What the room in the image is used for?\n",
      "4605 ) What is this place used for?\n",
      "4606 ) Which object is used for cooking?\n",
      "4607 ) what object in this image is usually sat on?\n",
      "4608 ) what object in this image can be sat on?\n",
      "4609 ) Which object in this image has tines\n",
      "4610 ) Which object in this image is used for holding food\n",
      "4611 ) What is the name of the kitchen utensil in this image?\n",
      "4612 ) Where was this image taken ?\n",
      "4613 ) Which object in this image can be used to make annoying noises?\n",
      "4614 ) Which object in this image can perch?\n",
      "4615 ) which object in this image is related to 'bike'\n",
      "4616 ) What shown in this image can attempt to fly?\n",
      "4617 ) Which sport is better than the action shown in this image\n",
      "4618 ) What object in this image makes the situation dangerous for the woman?\n",
      "4619 ) What is the woman riding in the street corner?\n",
      "4620 ) Which object in this image is used for go place?\n",
      "4621 ) Which object in this image can appear intelligent?\n",
      "4622 ) What insect with beautiful wings is seen here?\n",
      "4623 ) Which animal in the image has beautiful wings?\n",
      "4624 ) Which object in this image is a insect that have a beautiful wing?\n",
      "4625 ) What is the green stuff on the ground?\n",
      "4626 ) Which object in this image has juice sacs?\n",
      "4627 ) Which object in this image has a two wheel\n",
      "4628 ) Which object in this image is made of brass?\n",
      "4629 ) which object in this image is less high than bicycle?\n",
      "4630 ) What in this image has a crown as one of its parts or areas?\n",
      "4631 ) What instrument in this image is related to drumbeater?\n",
      "4632 ) What object can be used for transport?\n",
      "4633 ) What is the order of the animals in this image?\n",
      "4634 ) What can be found on the beach?\n",
      "4635 ) What object in this image is related to eyes?\n",
      "4636 ) Which object in this image is related to lawn?\n",
      "4637 ) What is the musical instrument in this image?\n",
      "4638 ) What object in this image is a type of headgear?\n",
      "4639 ) What object in this image is a brass instrument?\n",
      "4640 ) What in this image is a brass instrument?\n",
      "4641 ) What object is used to make jazz music in this image?\n",
      "4642 ) Which object in this image sits in window?\n",
      "4643 ) Which object in this image could be used to write book?\n",
      "4644 ) Which object in this image can be used to sign a card?\n",
      "4645 ) Which object in this image is used for writing?\n",
      "4646 ) which object in this image is smaller than car?\n",
      "4647 ) which object in this image is less stricter than automobile?\n",
      "4648 ) Which object in this image can we use for holding the mush\n",
      "4649 ) Which object in this image desires live in a loving enviroment?\n",
      "4650 ) What property does the place in this image have?\n",
      "4651 ) Which object in the image is related to exercise?\n",
      "4652 ) What is a bookshelf used for\n",
      "4653 ) Where the animals in the image originally from? \n",
      "4654 ) Which things in this picture are green before they are red?\n",
      "4655 ) Which object in this image is green before they are red\n",
      "4656 ) What is the colour of the toilet seat?\n",
      "4657 ) Which animal in the image is normally bigger?\n",
      "4658 ) What is the marine mammal in the image?\n",
      "4659 ) Which object in this image is soft fruit?\n",
      "4660 ) Which object in this image belongs to the category of Cnidaria?\n",
      "4661 ) What is the class of the animal in this image?\n",
      "4662 ) What is the class of the animal in this image?\n",
      "4663 ) What is the class of the largest animal in this image?\n",
      "4664 ) What is the class of the animal in this image?\n",
      "4665 ) Which object in this image is a animal that has stinging tentacles?\n",
      "4666 ) What is toothbrush used for?\n",
      "4667 ) What thing in this image is the most related to light?\n",
      "4668 ) Which object in this image is related to light?\n",
      "4669 ) Which object in this image is related to light?\n",
      "4670 ) Which country invented the stuff that in this image?\n",
      "4671 ) What the stuff on the wall is used for?\n",
      "4672 ) What does the small object in the middle of the picture have as a part?\n",
      "4673 ) What is the purpose of the event depicted in the image?\n",
      "4674 ) Where is the event depicted in this image likely to take place?\n",
      "4675 ) What emotions do you associate with the event depicted in this image?\n",
      "4676 ) What kind of property does the action in this image have?\n",
      "4677 ) How is wedding feeling?\n",
      "4678 ) What animal are you likely to find in this place?\n",
      "4679 ) Where can be this patio found?\n",
      "4680 ) Which object in this image is capable of sleeping most of the day?\n",
      "4681 ) Which object in this image is used for eating soup?\n",
      "4682 ) Which object in this image can be used to eat soup?\n",
      "4683 ) What fruit in the image belongs to tropics?\n",
      "4684 ) Which object in this image is used for playing rugby?\n",
      "4685 ) Which object in this image has a bladder?\n",
      "4686 ) What shown here is related to botany?\n",
      "4687 ) What is the surface in this image used for?\n",
      "4688 ) What in the image facilitates traveling?\n",
      "4689 ) What object in this image is brown and green?\n",
      "4690 ) Which objects in this image are brown and green?\n",
      "4691 ) Which object in this image might want comfortable clothes?\n",
      "4692 ) Which object in this image desires experience rich diversity of life?\n",
      "4693 ) Which object in this image is related to caravan?\n",
      "4694 ) What is the purpose of the place in this image?\n",
      "4695 ) Which object in this image can be found in livingroom?\n",
      "4696 ) which object in this image can we lie on\n",
      "4697 ) Which thing in the image can I lying on it?\n",
      "4698 ) What covers the ground?\n",
      "4699 ) Which object in this image is a birthday dessert?\n",
      "4700 ) Which object in this image can rise before baking?\n",
      "4701 ) where is this place?\n",
      "4702 ) which object in this image consist of a display and other things\n",
      "4703 ) Which object in this image is a Measuring instruments?\n",
      "4704 ) Which object in this image is a mechanical device?\n",
      "4705 ) Which object in this image is used to measure the passage of time?\n",
      "4706 ) Which object in this image is a member of an African equine species?\n",
      "4707 ) Which object in this image is a african equine specie?\n",
      "4708 ) Which object in this image is an African equine specie?\n",
      "4709 ) Which object in this image has knubby things on its head?\n",
      "4710 ) Which object in this image is used for creating music?\n",
      "4711 ) Which object in this image is used for creating music?\n",
      "4712 ) which animal in this image can you find in a zoo?\n",
      "4713 ) which object in this image can captain a team of people?\n",
      "4714 ) which object in this image must breath to survive?\n",
      "4715 ) which object in this image is capable of raking leaves?\n",
      "4716 ) Which object in this image is capable of hearing high pitched noises?\n",
      "4717 ) which object in this image is little smaller than horse?\n",
      "4718 ) Which object in this image is a fish?\n",
      "4719 ) Which object in this image can be found in the corner?\n",
      "4720 ) Which object in this image is alive?\n",
      "4721 ) Which object in this image can be found in table\n",
      "4722 ) What in this image is related to draft?\n",
      "4723 ) What in this image is related to glede?\n",
      "4724 ) What  in this image has the property of orange?\n",
      "4725 ) What in this image is related to steal?\n",
      "4726 ) Why are they wearing helmet?\n",
      "4727 ) Whether the animal in the image is a fish?\n",
      "4728 ) Which animal in this image lives under water and is not a fish?\n",
      "4729 ) What cow food is seen here?\n",
      "4730 ) What kind of sport it is in the image? \n",
      "4731 ) Whether the game is a summer or winter Olympic?\n",
      "4732 ) What object in this image is protective equipment?\n",
      "4733 ) What object in this image is an animal?\n",
      "4734 ) What can be found in this image that can be classed as part of subculture?\n",
      "4735 ) What is the place in this image used for?\n",
      "4736 ) Which object in this image is related to thirst?\n",
      "4737 ) Which object in this image belongs to the category of Predators?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4738 ) Which object in this image is capable of positioning itself on rock?\n",
      "4739 ) What can you do in this place?\n",
      "4740 ) What is this place used for?\n",
      "4741 ) what can we do in the place shown in this image\n",
      "4742 ) which object in this image can trot?\n",
      "4743 ) which object in this image can trot?\n",
      "4744 ) which object in this image is related to 'four legs'?\n",
      "4745 ) Which object in this image has a long ear\n",
      "4746 ) Which object in this image could has a hoof?\n",
      "4747 ) Which object in this image is related to horse?\n",
      "4748 ) Which object in this image often follows horses?\n",
      "4749 ) Which object in this image is related to rein?\n",
      "4750 ) Which object in this image belongs to the category Sports originating in England?\n",
      "4751 ) Which object in this image belongs to the category Sports originating in England?\n",
      "4752 ) Which object in this image might be used for transcribing something?\n",
      "4753 ) What is the person playing?\n",
      "4754 ) Which object in this image is used for playing the blues?\n",
      "4755 ) Which object in this image is used for making music?\n",
      "4756 ) Which object in this image is a subclass of genus homo?\n",
      "4757 ) Which object in this image can be found in on surface of the moon?\n",
      "4758 ) Which object in this image is soft and fuzzy?\n",
      "4759 ) Which  Sports equipment is shown in this image ?\n",
      "4760 ) Which object in this image belongs to the category Sports equipment?\n",
      "4761 ) Which object in this image might leave a pitch mark?\n",
      "4762 ) Which object in this image is used to store Food and drink?\n",
      "4763 ) Which object in this image can be found in herpetarium?\n",
      "4764 ) Which little animal on the left of the image can be used to make soup?\n",
      "4765 ) which object in this image has a belly button?\n",
      "4766 ) Which animal in this image is quite useful?\n",
      "4767 ) Which object in this image could be used for baking a cake?\n",
      "4768 ) What can be used to bake cake in this image?\n",
      "4769 ) What does this dog have?\n",
      "4770 ) What thing in this photo is capable of sailing through the sea\n",
      "4771 ) which object in this image can we find to be used for sailing in through the sea\n",
      "4772 ) Which object in this image is able to swim on water\n",
      "4773 ) What object in this image is a reptile?\n",
      "4774 ) Which object in this image is a big furry mammal?\n",
      "4775 ) What is the neck wrap on this man?\n",
      "4776 ) What is one food shown in this image?\n",
      "4777 ) which object in this image can we eat\n",
      "4778 ) What this the red fruit in the image?\n",
      "4779 ) Which object in this image is related to lime?\n",
      "4780 ) Which object in this image is used for staying dry in the rain?\n",
      "4781 ) Which object in this image are dangerous?\n",
      "4782 ) Which object in this image are dangerous?\n",
      "4783 ) Which object in this image are dangerous?\n",
      "4784 ) Which object in this image are dangerous?\n",
      "4785 ) Which object in this image are dangerous?\n",
      "4786 ) Which object in this image are dangerous?\n",
      "4787 ) Which object in this image belongs to the category Weapon?\n",
      "4788 ) Which object in this image can be used to strike nail?\n",
      "4789 ) What can you find in this place for serving food?\n",
      "4790 ) What can be found in this place that can be used for cleaning?\n",
      "4791 ) Which object in this image is related to Aviation?\n",
      "4792 ) Which object in this image is used for washing up?\n",
      "4793 ) Which object in this image is used for rinsing things?\n",
      "4794 ) If you are hungry, what are you likely to find in this place?\n",
      "4795 ) what can we do in this place shown in this image\n",
      "4796 ) Which part in this image is related to gun?\n",
      "4797 ) Which object in this image is capable of resting all day?\n",
      "4798 ) What thing shown in this image is capable of drinking the juice of a pineapple?\n",
      "4799 ) What thing has water in it in this image?\n",
      "4800 ) What thing does the place shown in this image have as a part?\n",
      "4801 ) Which sports game is shown in this image?\n",
      "4802 ) Which object in this image can be used for shredding?\n",
      "4803 ) What can you find in the place shown in this image\n",
      "4804 ) which object in this image can usually be found in a toy store?\n",
      "4805 ) Where is the place in hotel?\n",
      "4806 ) What object in this image is used for controlling traffic?\n",
      "4807 ) Which animal in the image can jump over hurdles?\n",
      "4808 ) Which object will you choose to cut a potato\n",
      "4809 ) Which object in this image is a double-reeded instrument\n",
      "4810 ) Which word is normaly used to describe the animal in the image?\n",
      "4811 ) Which object in this image is very big?\n",
      "4812 ) what kind can we see in this image\n",
      "4813 ) Which object in this image is sweet and mushy in pie?\n",
      "4814 ) Which object in this image has a reed?\n",
      "4815 ) Which object in this image has a tail?\n",
      "4816 ) Which object in this image belongs to the category Sport?\n",
      "4817 ) Which sport in this image is related to beach volleyball?\n",
      "4818 ) Which object in this image has a sail?\n",
      "4819 ) Which animal in this image can please human?\n",
      "4820 ) which object is related to the category of cattle\n",
      "4821 ) What can likely be found in this place?\n",
      "4822 ) Which object in this image belongs to the category Wine accessory?\n",
      "4823 ) Which object in this image can be used for coding?\n",
      "4824 ) Which object in this image has a fur?\n",
      "4825 ) Which object in this image has fur?\n",
      "4826 ) which object in this image has fur?\n",
      "4827 ) Which object in this image is more efficient than crosscut saw?\n",
      "4828 ) Which object in this image is used to hold fruit?\n",
      "4829 ) Which object in this image is used for drinking out of?\n",
      "4830 ) Which sour yellow fruit is shown in this image?\n",
      "4831 ) Which object in this image is a sour yellow fruit?\n",
      "4832 ) Which object in this image is a game equipment?\n",
      "4833 ) Which object in this image belongs to the category Cutting tools?\n",
      "4834 ) Which object in this image is used for typing?\n",
      "4835 ) Which object in this image is used for play music?\n",
      "4836 ) What is one thing that might be found in this place?\n",
      "4837 ) Which object in this image belongs to the category String instruments?\n",
      "4838 ) What property does the landscape in this image have?\n",
      "4839 ) Which object in this image is related to lamb?\n",
      "4840 ) Which object in this image belongs to the category Electricity?\n",
      "4841 ) What is the technology stuff?\n",
      "4842 ) Which object in this image can have a virus\n",
      "4843 ) Which object in this image can save files on disk\n",
      "4844 ) Which object in this image is used for studying\n",
      "4845 ) What in this image reminds you of the Roquefort?\n",
      "4846 ) Which object in this image is used for keeping animals on the property?\n",
      "4847 ) what object in this image is a citrus fruit?\n",
      "4848 ) which object in the right of this image has several glass windows\n",
      "4849 ) Which object in this image has signs on the window?\n",
      "4850 ) Which object in this image can be found in a driveway?\n",
      "4851 ) which object in this image belongs to the category 'mammal'?\n",
      "4852 ) Which object in this image belongs to the category mammal?\n",
      "4853 ) Which object in this image is capable of wearing a collar?\n",
      "4854 ) Which object in this image is capable of dig hole in yard?\n",
      "4855 ) What substance in this image might an antifluoridationst be concerned with?\n",
      "4856 ) Which object in this image is high in calories?\n",
      "4857 ) Which object in this image is used for baking things?\n",
      "4858 ) Which object originated in Italy?\n",
      "4859 ) Which object in this image has a sleeve?\n",
      "4860 ) What in this image can often play sport for entertainment?\n",
      "4861 ) What object in this image is related to tennis?\n",
      "4862 ) Which animal in this image is a common pet?\n",
      "4863 ) Which object in this image has a caffeine in it\n",
      "4864 ) Which object in this image belongs to the category Stimulants?\n",
      "4865 ) What is the another name of the electrical appliance on the left.\n",
      "4866 ) What is the place used for in this image ?\n",
      "4867 ) What object in this image could be used to cook soup?\n",
      "4868 ) Which place is more crowded than the place shown in this image\n",
      "4869 ) what object in this image is used for protecting your head?\n",
      "4870 ) Why people need these stuffs?\n",
      "4871 ) Which object in this image is the most related to sweet taste\n",
      "4872 ) Which device in the image can be used for playing game?\n",
      "4873 ) Which thing in the image need to run on the rail?\n",
      "4874 ) what object in this image has a short lifespan?\n",
      "4875 ) Where does sink found at?\n",
      "4876 ) Which is redder? The fruit in the image or rose?\n",
      "4877 ) What object in this image is used for storing things?\n",
      "4878 ) Tell me where can you find the big white stuff in this image\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4879 ) Where can I find a comfortable place to sit?\n",
      "4880 ) What is the wooden thing used for?\n",
      "4881 ) Where you can find the object shown in this image?\n",
      "4882 ) Which object in this image is for sitting in?\n",
      "4883 ) Which object in this image is used for sleep?\n",
      "4884 ) Which object in this image is related to double bass?\n",
      "4885 ) What can be found in this place?\n",
      "4886 ) Which object in this image has a cover?\n",
      "4887 ) What can be found in this place?\n",
      "4888 ) Which object in this image belongs to the category Animals in art?\n",
      "4889 ) Which object in this image is capable of showing text?\n",
      "4890 ) Which object in this image is capable of showing text?\n",
      "4891 ) What is the yellow object in this image?\n",
      "4892 ) Which object in this image is used in spaghetti sauce?\n",
      "4893 ) Which object in the image is required for pitching?\n",
      "4894 ) What in this image possesses a nose?\n",
      "4895 ) Which object in this image has a nose?\n",
      "4896 ) Which object in this image is sour?\n",
      "4897 ) Which object in this image is sour?\n",
      "4898 ) Which object in this image is related to Roma?\n",
      "4899 ) Which object in this image can carry freight or cargo?\n",
      "4900 ) What is one thing that can sometimes be found in this place?\n",
      "4901 ) Which object in this image is related to superstation?\n",
      "4902 ) Which object that the woman in the middle is pulling is related to baggage claim?\n",
      "4903 ) which object in this image has one heart?\n",
      "4904 ) which object in this image can say 'I love you'?\n",
      "4905 ) Which object in this image has the property of Accuracy and precision?\n",
      "4906 ) Which object in this image is related to kick start?\n",
      "4907 ) which object in this image is capable of ironing pants?\n",
      "4908 ) which object in this image can be paid a salary by a company?\n",
      "4909 ) what can we find in the place shown in this image\n",
      "4910 ) what can we find in the place shown in this image\n",
      "4911 ) which object in this image can connect two computers together?\n",
      "4912 ) which object in this image is capable of feeding themselves?\n",
      "4913 ) which object in this image is capable of dancing in a group?\n",
      "4914 ) Which object in this image can be used for covering your chest?\n",
      "4915 ) Which object in this image is used for carrying clothes on trip?\n",
      "4916 ) Which object in this image is used for carry clothes on a trip?\n",
      "4917 ) Which object in this image is used to provide shelter?\n",
      "4918 ) What kind of sound can this instrument make?\n",
      "4919 ) what object in this image is related to banging?\n",
      "4920 ) What do you need to make the instrument in the image work?\n",
      "4921 ) Which object in this image has a tail as a part of the body?\n",
      "4922 ) Which object in this image has a tail?\n",
      "4923 ) Which object is easier than guitar in this image?\n",
      "4924 ) Which object in this image can be found in band?\n",
      "4925 ) Which object in this image is used for press key?\n",
      "4926 ) Which object in this image is used for inputing?\n",
      "4927 ) Which object in this image has a significant impact to every part of life\n",
      "4928 ) Which object in this image belongs to the category computer peripherals?\n",
      "4929 ) Which object in this image is related to machine language?\n",
      "4930 ) Which object in this image is capable of process information?\n",
      "4931 ) Which object in this image is used for music\n",
      "4932 ) Which object in this image is used for music?\n",
      "4933 ) Which thing in the image can be used to cook a meal?\n",
      "4934 ) What object can be used to travel through many time zones?\n",
      "4935 ) What is the room used for?\n",
      "4936 ) What is the place in this image used for?\n",
      "4937 ) What kind is arrow belongs?\n",
      "4938 ) which object in this image is capable of reproducing?\n",
      "4939 ) which object in this image is a canine?\n",
      "4940 ) Which object in this image is furry?\n",
      "4941 ) Which object in this image can eat a banana?\n",
      "4942 ) What object in this image can eat a banana?\n",
      "4943 ) What is the place in this image used for?\n",
      "4944 ) Which object in this image is a type of headpiece?\n",
      "4945 ) Which object in this image belongs to the category Percussion instrument?\n",
      "4946 ) Which object in this image can be found at a sporting event?\n",
      "4947 ) Which object in this image is collected by arctophiles?\n",
      "4948 ) where is this place?\n",
      "4949 ) What object can be used to hit person?\n",
      "4950 ) which object in this image is slower than train?\n",
      "4951 ) which object in this image is more flexible than train?\n",
      "4952 ) What substance in this image is composed of silicon?\n",
      "4953 ) What percussion instrument is in this image?\n",
      "4954 ) Which object in this image might be used for holding juice?\n",
      "4955 ) What object in this image can be found in a swamp?\n",
      "4956 ) What object in this image is related to Latin America?\n",
      "4957 ) What object in this image has a nose?\n",
      "4958 ) Which object in this image likes bones?\n",
      "4959 ) Which object in this image has a green leave?\n",
      "4960 ) Which object in this image is capable of shading people from the sun?\n",
      "4961 ) What object in this image can hear better than a human?\n",
      "4962 ) What object in this image is man's best friend?\n",
      "4963 ) Which object in this image is used for banging?\n",
      "4964 ) What is the large mammal shown in this image?\n",
      "4965 ) Which entities in this image belongs to the category Mammals?\n",
      "4966 ) Which animal in this image is good to teach?\n",
      "4967 ) Which object in this image is capable of be race and ride by human?\n",
      "4968 ) ￼Which object in this image is capable of running much faster than a person?\n",
      "4969 ) Which object in this image may be related to tomato sauce?\n",
      "4970 ) Which object in this image is a kind of tie?\n",
      "4971 ) Which object in this image is related to serpette?\n",
      "4972 ) Which object in this image can likely be found in France?\n",
      "4973 ) Which animal in this image is related to cobra?\n",
      "4974 ) Which object in this image belongs to the category Human–machine interaction?\n",
      "4975 ) Which object in this image is for human-machine interaction?\n",
      "4976 ) what can we find on the desk\n",
      "4977 ) Which object in this image could be used for communicating with someone in chatroom?\n",
      "4978 ) What object in this image is bigger than an ant?\n",
      "4979 ) Which animal in this image is a big than ant?\n",
      "4980 ) What is the street furniture in the image?\n",
      "4981 ) Why people need this animal?\n",
      "4982 ) What is the knife mate in the image?\n",
      "4983 ) Where could one sit and rest in this image?\n",
      "4984 ) what object in this image is used for surfing\n",
      "4985 ) Which object in this image has a feel？\n",
      "4986 ) Which object in this image is a form of mass transportation?\n",
      "4987 ) Which object in this image spends gas?\n",
      "4988 ) Which object in this image can be found in the movie 'Deliverance'?\n",
      "4989 ) which object is bigger than an elephant\n",
      "4990 ) What is the place in this image usually used for?\n",
      "4991 ) What object in this image is used for play in orchestra?\n",
      "4992 ) What food is found in the image?\n",
      "4993 ) Which object in this image is a kind of food?\n",
      "4994 ) What shown in this image contains oxygen?\n",
      "4995 ) what thing in this image is able to chew gum\n",
      "4996 ) Which object in this image is capable of eat meat?\n",
      "4997 ) Which object in this image is capable of eat meat?\n",
      "4998 ) Which object in this image is capable of eat meat?\n",
      "4999 ) Which object in this image can ship good?\n",
      "5000 ) Which substance in this image could also be related to silver?\n",
      "5001 ) Which object in this image is capable of boot from hard drive?\n",
      "5002 ) Which object in this image is a high speed electronic machine?\n",
      "5003 ) Which wine is usually sweeter? \n",
      "5004 ) What thing in the image can be used for hitting?\n",
      "5005 ) This food is normally served in what events?\n",
      "5006 ) What does a hotdog have\n",
      "5007 ) Which object in this image can be used for chopping wood?\n",
      "5008 ) Whether the animal in the image has legs or not?\n",
      "5009 ) Which animal in this image has no leg\n",
      "5010 ) What is the toy the girl is playing?\n",
      "5011 ) which onbject in this image contatins many seats?\n",
      "5012 ) which object in this image is a means of transportation?\n",
      "5013 ) Which object in this image belongs to the category Fast food?\n",
      "5014 ) Which object in this image is a diet staple?\n",
      "5015 ) Which object in this image has a sharp edge?\n",
      "5016 ) Which object in this image is used for cutting things?\n",
      "5017 ) Which object in this image is used in carrot cake?\n",
      "5018 ) Which object in this image is related to single click?\n",
      "5019 ) Which object in this image is like an armchair?\n",
      "5020 ) which object in this image can do something better than human?\n",
      "5021 ) Which object in this image is favored by geeks?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5022 ) What is the object in the left of the image used for?\n",
      "5023 ) Which object in this image is a weather protection?\n",
      "5024 ) Which object in this image solves problems?\n",
      "5025 ) Which object in this image is used for sitting?\n",
      "5026 ) Which object in this image is clearly more complex than a car?\n",
      "5027 ) Which object in this image is a special sort of stick?\n",
      "5028 ) Which sort of food in this image belongs to the category crops?\n",
      "5029 ) which object in this image can play a game?\n",
      "5030 ) Which object in this image can run?\n",
      "5031 ) which object in this image can open an letter?\n",
      "5032 ) which object in this image can smell with their nose?\n",
      "5033 ) Which object in this image is capable of tasting an apple?\n",
      "5034 ) which object in this image can open a jar?\n",
      "5035 ) What kind of pet is shown in this image?\n",
      "5036 ) What kind of pet is shown in this image?\n",
      "5037 ) Which animal in this image lives under water?\n",
      "5038 ) Which object in this image is related to primate?\n",
      "5039 ) What object in this image is a red symbol?\n",
      "5040 ) Which object in this image is a component of dine room table?\n",
      "5041 ) Which object in this image is a component of dine room table?\n",
      "5042 ) Which object in this image is a component of dine room table?\n",
      "5043 ) Which object in this image is a component of dine room table?\n",
      "5044 ) What is the vegetable in the image?\n",
      "5045 ) Which sports equipment can you see in this image?\n",
      "5046 ) Which piece of furniture in the image has legs?\n",
      "5047 ) Can you name the beer that we usually enjoy with the fruit in the image?\n",
      "5048 ) What is the place in this image used for?\n",
      "5049 ) What property does the place in this image have?\n",
      "5050 ) Which one in the image is supplied by gas?\n",
      "5051 ) Which object shown here can cause injury if not used carefully?\n",
      "5052 ) Which object in this image can cause injury when not used carefully?\n",
      "5053 ) Which object in this image belongs to the dining-room？\n",
      "5054 ) Which object in this image can be found in open ocean?\n",
      "5055 ) What is the order of the animal described in this image?\n",
      "5056 ) what object in this image is related to tree?\n",
      "5057 ) Which object in this image belongs to the class of Brassica?\n",
      "5058 ) Which object in this image belongs to the category Food and drink?\n",
      "5059 ) which object in this image like to eat nut\n",
      "5060 ) What is the stuff on the surface of the red fruit in the image?\n",
      "5061 ) Which object in this image is an animal?\n",
      "5062 ) what is a skateboard used for?\n",
      "5063 ) Whether the animal in the image is smaller or bigger than a cat?\n",
      "5064 ) Which instrument in this image has a long arm?\n",
      "5065 ) Which object in this image is related to surf?\n",
      "5066 ) What is the sport?\n",
      "5067 ) What type of fruit is in this image?\n",
      "5068 ) Which food can you see in this image?\n",
      "5069 ) Which object in this image belongs to the category Fruit?\n",
      "5070 ) What is the food or drink item in this image?\n",
      "5071 ) Which object in this image has memory chips?\n",
      "5072 ) Which object in this image is related to memory chips?\n",
      "5073 ) Which object in this image could perform a screen capture?\n",
      "5074 ) Which object in this image has been used in scientific research ?\n",
      "5075 ) Which animal in this image belongs to the category Marine vertebrates?\n",
      "5076 ) What stuff belongs to animal product?\n",
      "5077 ) which object in this image can we find in an apartment\n",
      "5078 ) Which object in this image is a very common pet for human beings?\n",
      "5079 ) Which object is more playful? sea lion? or the animal in the image?\n",
      "5080 ) What is the class of the animal in this image?\n",
      "5081 ) Which object in this image is for washing hands?\n",
      "5082 ) Which object in this image is used for washing your hand?\n",
      "5083 ) What is one form of clothing in this image?\n",
      "5084 ) What is the player holding?\n",
      "5085 ) Which object is related to golf club?\n",
      "5086 ) Which object in this image is used to keep your teeth clean?\n",
      "5087 ) Which object in this image is used with toothpaste?\n",
      "5088 ) What can we do in this place?\n",
      "5089 ) What is the place in this image used for?\n",
      "5090 ) What can be found in this bathroom?\n",
      "5091 ) What in this image can live much longer than a person?\n",
      "5092 ) Which object in this image is high?\n",
      "5093 ) Which object in this image is related to mitts?\n",
      "5094 ) What object in this image is for firefighting?\n",
      "5095 ) What object in this image is related to water supply?\n",
      "5096 ) Which object in this image belongs to the category winter equipment?\n",
      "5097 ) Which object in this image is a kind of cat?\n",
      "5098 ) Which object in this image is a kind of toy?\n",
      "5099 ) What thing does the place shown in the upside of this image have as a part?\n",
      "5100 ) Which object in this image is related to bulls?\n",
      "5101 ) Which musical instrument can you see in this image?\n",
      "5102 ) Which object in this image desires feel joy?\n",
      "5103 ) Which object in this image has a stem?\n",
      "5104 ) What stuff in this image is used to keep off rain?\n",
      "5105 ) Which object in this image is a long thin and orage?\n",
      "5106 ) Which object in this image is long, thin and orange?\n",
      "5107 ) Which object in this image is long, thin and orange?\n",
      "5108 ) What is the red vegetable?\n",
      "5109 ) What domesticated animal can be seen in this image?\n",
      "5110 ) Which animal in this image is related to cattleman?\n",
      "5111 ) which object in this image is alive\n",
      "5112 ) Which object in this image is used for eat cereal?\n",
      "5113 ) What thing which needs very little to be happy can be seen in this image?\n",
      "5114 ) Which object in this image belongs to the sport Tennis?\n",
      "5115 ) Is there any electronic device made in USA?\n",
      "5116 ) Which object in this image is a plant?\n",
      "5117 ) which object in this image is a means of transportation?\n",
      "5118 ) What can be found in this place?\n",
      "5119 ) Which object in this image has a saddle?\n",
      "5120 ) Which object in this image has a saddle?\n",
      "5121 ) What activity are the people in this image doing that is often considered a hobby?\n",
      "5122 ) Whether the cooking device presented in the image is faster or slower than a stove top?\n",
      "5123 ) What object in this image has a hand?\n",
      "5124 ) You can find this thing in where?\n",
      "5125 ) What is the material of the chair?\n",
      "5126 ) Can you describe the metal thing on the right?\n",
      "5127 ) Which food on the board are root vegetables?\n",
      "5128 ) Which object in this image is a kind of root vegetable?\n",
      "5129 ) what object in this image sometimes contains grape juice?\n",
      "5130 ) Which device in the image can be used to cool milk?\n",
      "5131 ) Which vegetable in the image can be found around old trees?\n",
      "5132 ) Which object in this image is related to horsewomanship?\n",
      "5133 ) Which object in this image is a wheeled box?\n",
      "5134 ) Which object in this image is a vehicle?\n",
      "5135 ) What is the name of the vehicle in this image?\n",
      "5136 ) Which object in this image can be used to transport things?\n",
      "5137 ) what's shown in the image?\n",
      "5138 ) Which object in this image comes down in a thunderstorm?\n",
      "5139 ) What can be found in this place?\n",
      "5140 ) What does this place contain?\n",
      "5141 ) What is the place in this image used for?\n",
      "5142 ) which object in this image should be paid mcuh more than a desktop\n",
      "5143 ) Which object in this image can be found in winery?\n",
      "5144 ) Which thing in this image is related to desk?\n",
      "5145 ) What can be easily found in this area.\n",
      "5146 ) Which object in this image has a refractive index?\n",
      "5147 ) which object in this image is faster than car?\n",
      "5148 ) which object in this image often moves slower than train\n",
      "5149 ) Which object in this image is related to high-speed track?\n",
      "5150 ) Which team sport is shown here?\n",
      "5151 ) What place is shown in this image?\n",
      "5152 ) Which object in this image belongs to the category public transportation system?\n",
      "5153 ) Which object in this image is going to leave station?\n",
      "5154 ) Which object in the image is a type of Bus transport?\n",
      "5155 ) Where does the animal in this image can be found in?\n",
      "5156 ) Which object in this image contains a lot of vitamin c?\n",
      "5157 ) What here is for throwing?\n",
      "5158 ) Which object in this image is used for throwing?\n",
      "5159 ) What object in this image is a piece of sports equipment?\n",
      "5160 ) which object in this image is cleaner than dog?\n",
      "5161 ) Which animal in the middle of the image has no brain?\n",
      "5162 ) Whether the animal in the image has brain or not?\n",
      "5163 ) Which object in this image belongs to the category Graphics hardware?\n",
      "5164 ) Which object in this image belongs to the category Clouds, fog and precipitation?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5165 ) Which object in this image is a marine animal?\n",
      "5166 ) Which object in this image can be found in the sea?\n",
      "5167 ) Whether this animal lives in the sea or on land?\n",
      "5168 ) Which object in this image might be found in a fish tank?\n",
      "5169 ) Which object in this image can be found in saltwater?\n",
      "5170 ) What object in this image is large and heavy?\n",
      "5171 ) Which object in this image is used to mail?\n",
      "5172 ) Which object in this image is often  used for preparing a homework?\n",
      "5173 ) Which object in this image is often  used for preparing a homework?\n",
      "5174 ) which object in this image is an animal?\n",
      "5175 ) Which electronic device is used to type on?\n",
      "5176 ) Which object in this image is similar to minicomputer?\n",
      "5177 ) What object is a subclass of glove?\n",
      "5178 ) Which object in this image is less reliable than a land line?\n",
      "5179 ) Which object in this image is related to cervical collar?\n",
      "5180 ) which object in this picture hope their privacy to be respected \n",
      "5181 ) Which object in this image is related to knot?\n",
      "5182 ) What animal in the image has good memory?\n",
      "5183 ) Where can you find this thing normally?\n",
      "5184 ) Which fruit here is neither orange nor lemon?\n",
      "5185 ) Which things in this picture would a squirrel be most interested in?\n",
      "5186 ) Which tool in this image is the most related to pounding\n",
      "5187 ) Which object in this image can be used to force a nail into wood\n",
      "5188 ) What objects related to this image sometimes get clogged?\n",
      "5189 ) Which object in this image can be used to flush?\n",
      "5190 ) Which object is related to plumbing in this image?\n",
      "5191 ) What object in this image is in many bathrooms?\n",
      "5192 ) Which object in this image is dirty?\n",
      "5193 ) Which object in this image must pay for a seat at performances?\n",
      "5194 ) Which object in this image is related to ice water?\n",
      "5195 ) What is the place in this image used for?\n",
      "5196 ) Which metal object in this image has less surface area than a screw?\n",
      "5197 ) Which is related to video game in this image?\n",
      "5198 ) Which object in this image has fur?\n",
      "5199 ) What are you likely to find in this place?\n",
      "5200 ) Which object worn by the man is less easy than skirt?\n",
      "5201 ) Which object in this image is a rideable transportation device?\n",
      "5202 ) Which object in this image is a rideable transportation device?\n",
      "5203 ) Which object in this image is a rideable transportation device?\n",
      "5204 ) Which object in this image is a vehicle with just one wheel?\n",
      "5205 ) Which object in this image is related to acrobat?\n",
      "5206 ) Which object in this image is a user powered device?\n",
      "5207 ) What can be found in this place?\n",
      "5208 ) What can be found in this place?\n",
      "5209 ) What can be found in this place?\n",
      "5210 ) Which digital electronics is shown in this image?\n",
      "5211 ) Which object in this image is a insect?\n",
      "5212 ) a countrys coastline\n",
      "5213 ) Which kind of mammals by continent can we find in this image\n",
      "5214 ) What is the place in this image used for?\n",
      "5215 ) which object in this image can dance for enjoyment?\n",
      "5216 ) which object in this image can forget things?\n",
      "5217 ) what object in this image eats food off a plate?\n",
      "5218 ) which object in this image can blow out candles?\n",
      "5219 ) what object in this image can pout?\n",
      "5220 ) what object in this image can govern other people?\n",
      "5221 ) which yellow object in this image can be found in a game of tennis?\n",
      "5222 ) what object in this image can stand on one leg?\n",
      "5223 ) Which object in this image is more maneuverable than a bicycle?\n",
      "5224 ) Which object in this image is a wheeled vehicle?\n",
      "5225 ) Which object in this image is a wheeled vehicle?\n",
      "5226 ) Which object in this image is comfortable to sit in?\n",
      "5227 ) Which object in this image is for sleeping on?\n",
      "5228 ) what thing in this image can be used for reserving liquid\n",
      "5229 ) Which object in this image is related to wheel?\n",
      "5230 ) which object in this image is used to store clothes on a trip?\n",
      "5231 ) Which object in this image receives video signal?\n",
      "5232 ) What large animal can be seen here?\n",
      "5233 ) which object in this image is related to carry-on?\n",
      "5234 ) Which object in this image is related to carry-on?\n",
      "5235 ) Which object in this image is related to carry on?\n",
      "5236 ) which object in this image can be found in an airport?\n",
      "5237 ) which object in this image is relate to luggage cart?\n",
      "5238 ) Which object in this image has a spine?\n",
      "5239 ) What tool can be used for drinking?\n",
      "5240 ) Which object in this image is a one type of machine?\n",
      "5241 ) Which object in this image is capable of group together\n",
      "5242 ) Which object in this image accepts their body as it is?\n",
      "5243 ) What object can be used for personal transport?\n",
      "5244 ) Which object is a category of weather in this image?\n",
      "5245 ) Which object in this image is a fruit?\n",
      "5246 ) Which object in this image is related to boogieboard?\n",
      "5247 ) What instrument in the image is used for blow?\n",
      "5248 ) Which object in this image belongs to Leisure activities?\n",
      "5249 ) Which object in this image can be found at the corner of two streets?\n",
      "5250 ) what object in this image can you find at the corner of two streets?\n",
      "5251 ) Which traffic signal can be found in the corner of two streets?\n",
      "5252 ) which object in this image is used for travel?\n",
      "5253 ) which object in this image is used for travel?\n",
      "5254 ) which object in this image is used for travel?\n",
      "5255 ) Which object in this image is a primate?\n",
      "5256 ) Which object in this image is a primate?\n",
      "5257 ) Where does the animal can be found in?\n",
      "5258 ) What percussion instrument is seen here?\n",
      "5259 ) What kind of hat is this?\n",
      "5260 ) Whether the animal in the image is a kind of horse or cow?\n",
      "5261 ) What kind of kitchenware do we need to cook this food?\n",
      "5262 ) Which thing is used for eating food?\n",
      "5263 ) What is the shape of the sign?\n",
      "5264 ) What can you find at sea\n",
      "5265 ) Which thin in the image has a tale?\n",
      "5266 ) Which thing in the image can produce heat?\n",
      "5267 ) what can we find in such a place shown in this image\n",
      "5268 ) What can be used to transport across body of water?\n",
      "5269 ) Which animal in this image like nuts\n",
      "5270 ) Which object in this image can be used to cook a roast?\n",
      "5271 ) Which animal in this image can be found in jungle\n",
      "5272 ) Name the string instrument in this image\n",
      "5273 ) Which object in this image could become ember?\n",
      "5274 ) What does the object in the centre of this image have as a part for survival?\n",
      "5275 ) Which object in this image has a passenger?\n",
      "5276 ) Which object in this image is used for travelling on a lake?\n",
      "5277 ) Which object in this image is neckwear?\n",
      "5278 ) Which object in this image is an item of neckwear?\n",
      "5279 ) Which object in this image can be tucked in?\n",
      "5280 ) Which object in this image has two pedals?\n",
      "5281 ) Where could you find this kind of kitchenette ?\n",
      "5282 ) In this place what things can be found?\n",
      "5283 ) What object in this image has a frame?\n",
      "5284 ) Which object in this image has a frame?\n",
      "5285 ) Which furniture in this image is capable of seat more than one person?\n",
      "5286 ) Which object in this image belong to the category 'water transport'?\n",
      "5287 ) Which object in this image can be found in a zoo?\n",
      "5288 ) Where you can find the animal expect Africa?\n",
      "5289 ) Which object in this image belongs to the class Plant taxonomy?\n",
      "5290 ) Which object in this image is a herd animal?\n",
      "5291 ) Which object in this image is likely to be most cool?\n",
      "5292 ) What shown in this image covers a person's head?\n",
      "5293 ) What shown in this image covers a person's head?\n",
      "5294 ) What thing in the image is a mammal?\n",
      "5295 ) Which object in this image likes to run a lot?\n",
      "5296 ) What property does the place in this image have?\n",
      "5297 ) Which thing is safer than the object in the middle of this image?\n",
      "5298 ) Which food in this image is Mexican?\n",
      "5299 ) Which object in this image desires clear vision?\n",
      "5300 ) Which object in this image is a popular stimulant?\n",
      "5301 ) Which object in this image is a sport?\n",
      "5302 ) Which object in this image desires comfortable shoes?\n",
      "5303 ) Which object in this image belongs to the category Equipment?\n",
      "5304 ) Which object in this image could be used to gain weight?\n",
      "5305 ) Which object in this image is capable of shedding its hair?\n",
      "5306 ) which object in this image is more popular than desktop?\n",
      "5307 ) Which object in this image is used for printing thing?\n",
      "5308 ) Which object in this image is capable of printing picture?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5309 ) What sport does the equipment belong to?\n",
      "5310 ) Which animal in the image is related to wax?\n",
      "5311 ) Which object in this image is related to slide?\n",
      "5312 ) Which object in this image is a kind of fast food?\n",
      "5313 ) Which objects in this image can jump?\n",
      "5314 ) Which type of object in this image is used in a house?\n",
      "5315 ) Which fast food is shown in this image ?\n",
      "5316 ) What property does the place in this image have?\n",
      "5317 ) What is color of this place?\n",
      "5318 ) What is this room used for?\n",
      "5319 ) what object in this image is related to ball?\n",
      "5320 ) Are the animals in the image smaller or bigger than normal horse?\n",
      "5321 ) What is the genus of the animal in the image?\n",
      "5322 ) Which object in this image is a brass instrument?\n",
      "5323 ) Which animal is more loyal?\n",
      "5324 ) Which object in this image has a slide?\n",
      "5325 ) Which object in this image is sometimes driven by a person?\n",
      "5326 ) What can be found in this place?\n",
      "5327 ) which object can we find keys in\n",
      "5328 ) Which object in this image contains a key\n",
      "5329 ) Which object in this image has a trunk?\n",
      "5330 ) What can I do in this place?\n",
      "5331 ) What can I do in this place?\n",
      "5332 ) What is the place in this image used for?\n",
      "5333 ) Which object in this image has tusks?\n",
      "5334 ) Which object in this image is both a fruit and a colour?\n",
      "5335 ) What activity can be done on water in this image?\n",
      "5336 ) Which object in this image is capable of dribble?\n",
      "5337 ) Which object in this image is related to sail?\n",
      "5338 ) What egglayer is this?\n",
      "5339 ) Where can the object in the centre of this image be found?\n",
      "5340 ) Which object in this image is related to braid?\n",
      "5341 ) which object in this image can learn to swim?\n",
      "5342 ) What kind of outdoor activity is shown in this image?\n",
      "5343 ) What is the object like worm in this image?\n",
      "5344 ) Which object that a woman is holding in this image is used for making music?\n",
      "5345 ) which object in this image has emotions?\n",
      "5346 ) which object in this image is capable of drinking milk?\n",
      "5347 ) Where does the place in this image can be found in?\n",
      "5348 ) Which object in this image can be found in a terrarium?\n",
      "5349 ) What is the fast moving sport in the image?\n",
      "5350 ) What small animal is in this image?\n",
      "5351 ) Which object in this image can carry few people?\n",
      "5352 ) Which objects in this image can travel on a highway?\n",
      "5353 ) Which object in this image can be found in sunny spots?\n",
      "5354 ) Which object in this image might arrive at a station?\n",
      "5355 ) What is the place in this image used for?\n",
      "5356 ) Which object in this image belongs to the category Fashion accessories?\n",
      "5357 ) What is the herbivore in this image?\n",
      "5358 ) Which object in this image is bigger than chicken\n",
      "5359 ) Which thing in this image likes to go on vacations in beautiful places?\n",
      "5360 ) What in this image likely has a zipper?\n",
      "5361 ) Which object in this image is capable of getting injured in sport?\n",
      "5362 ) Which object in this image is a farm animal that is raised for wool and meat?\n",
      "5363 ) Which object in this image is often used in salads?\n",
      "5364 ) Which object in this image is a food?\n",
      "5365 ) what can be always found in the ground shown in this image\n",
      "5366 ) Which object in this image is a part of network?\n",
      "5367 ) Which thing in this image has 5 string?\n",
      "5368 ) Which object in this image has a tuning peg?\n",
      "5369 ) Which object in the image is mostly correlated to the Fishing industry?\n",
      "5370 ) Which object in this image has frets?\n",
      "5371 ) Which object in this image is a very common musical instrument?\n",
      "5372 ) which object in this image has two eyes?\n",
      "5373 ) Which animal in this image has two eyes?\n",
      "5374 ) What object can shield yourself from rain?\n",
      "5375 ) What can be found in this place?\n",
      "5376 ) Which object in this image has the property of being always naked?\n",
      "5377 ) Which object in this image is related to pickle?\n",
      "5378 ) which object in this image is dangerous for human\n",
      "5379 ) Which object in this image might be found in a band?\n",
      "5380 ) Which object in this image is used to pour liquid from?\n",
      "5381 ) What can be found in this place?\n",
      "5382 ) what does the object held in the man's hand has\n",
      "5383 ) What is the place in this image used for?\n",
      "5384 ) What can you do in this place?\n",
      "5385 ) Which object in this image has a screen?\n",
      "5386 ) Which object in this image has the property of find guilty at trial?\n",
      "5387 ) What in this image belongs to the category Law enforcement?\n",
      "5388 ) Which object do you think is beautiful in this image?\n",
      "5389 ) Which vehicle in this image is built for one person\n",
      "5390 ) Which object in this image is capable of streaming video?\n",
      "5391 ) What is this place used for?\n",
      "5392 ) Which one is more expensive? the machine in the image or a bicycle?\n",
      "5393 ) What kind of field do you need to play this game?\n",
      "5394 ) Tell me the name of winged insect in this image?\n",
      "5395 ) Where could this image be taken ?\n",
      "5396 ) Which object in this image is most closely related to yogurt?\n",
      "5397 ) Which object in this image belongs to the category Digital electronics?\n",
      "5398 ) What can be found in this place?\n",
      "5399 ) Which object in this image is related to sheet?\n",
      "5400 ) Which object in this image belongs to the category Fashion?\n",
      "5401 ) which object in this image is regarded as a pet in most family ?\n",
      "5402 ) Which object in this image can be found in a grocery store?\n",
      "5403 ) Which object in this image is an instrument?\n",
      "5404 ) Which object in this image is related to nock?\n",
      "5405 ) Which object in this image is related to nock?\n",
      "5406 ) What kind of container is shown in this image ?\n",
      "5407 ) which object in this image often has a living room\n",
      "5408 ) Which object in this image is delicious?\n",
      "5409 ) Which object in this image belongs to the category of fast food?\n",
      "5410 ) Which object in this image has the property of grey?\n",
      "5411 ) which object in this image is driven by a woman on the water\n",
      "5412 ) Train station is related to which object in this image?\n",
      "5413 ) What transportation in the image is slower than plane?\n",
      "5414 ) Which object in this image is related to intersection?\n",
      "5415 ) What material in this image has a grain?\n",
      "5416 ) Which object in this image can be very noisy?\n",
      "5417 ) Which place is more impassable? desert or the scene in the image?\n",
      "5418 ) Which object in this image is related to cello?\n",
      "5419 ) What seen here is an instrument used to make music?\n",
      "5420 ) Which object in this image has a disk drive?\n",
      "5421 ) Which vehicle is faster than a bucycle\n",
      "5422 ) Which object in this image has an engine?\n",
      "5423 ) Which object in the image is often associated with Jazz music?\n",
      "5424 ) Which object in the image is a type of of wind instrument?\n",
      "5425 ) What object in this image can joing organizations?\n",
      "5426 ) Which object in this image is a individual unlike any other?\n",
      "5427 ) Which object in this image is a individual unlike any other?\n",
      "5428 ) Which object that the person is holding is related to mixed drinks?\n",
      "5429 ) Which object in this image is related to keyboard?\n",
      "5430 ) What is the objects in the image used for?\n",
      "5431 ) Which object in this image is capable of be tame?\n",
      "5432 ) Which object in this image might have a gangplank?\n",
      "5433 ) Which object in this image has gunports?\n",
      "5434 ) Which thing in this image can act as a reflector?\n",
      "5435 ) Which object in this image is used for travelling across water?\n",
      "5436 ) Whether this thing is faster or slower than a car?\n",
      "5437 ) What the pink stuff is used for?\n",
      "5438 ) what object in this image is heavier than plastic?\n",
      "5439 ) what object in this image is related to cattle?\n",
      "5440 ) Which thing in the image is used for measuring lengths?\n",
      "5441 ) Which device in the image can free people's hand?\n",
      "5442 ) What is burning in the fireplace?\n",
      "5443 ) What is the entertainment in the image?\n",
      "5444 ) Which fruit in the image is the source of potassium?\n",
      "5445 ) What kind of seafood does the animal in the image likes to eat?\n",
      "5446 ) Who run faster? human or the animal in the image?\n",
      "5447 ) Which object in this image is the most related to pickle\n",
      "5448 ) Which object in this image is related to green long\n",
      "5449 ) What kind of dish is this ?\n",
      "5450 ) Which object in this image belongs to Garden plants?\n",
      "5451 ) What is one Food and Drink object in this image?\n",
      "5452 ) What is the phylum of the animal presented in this image?\n",
      "5453 ) Which object in this image is related to birthday dessert?\n",
      "5454 ) which object in this image is related to 'baa'?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5455 ) What object in this image can be found at a stop?\n",
      "5456 ) which object in this image is related to 'mammal'?\n",
      "5457 ) What can be seen on the beach?\n",
      "5458 ) Where is this photo taken?\n",
      "5459 ) What can be found in this beach?\n",
      "5460 ) Which object in this image can be found in store?\n",
      "5461 ) Which object in this image can be found in store?\n",
      "5462 ) What kind of team game does this image describe?\n",
      "5463 ) What objects in this image are used for racing?\n",
      "5464 ) which object in this image is easier than sugar cure?\n",
      "5465 ) Which object in this image is related to raster graphics?\n",
      "5466 ) Which object keeps this person warm?\n",
      "5467 ) Which objects in this image have fingers?\n",
      "5468 ) What in this image consists of very small rocks?\n",
      "5469 ) What thing which you see here may be capable of eating a banana?\n",
      "5470 ) What kind of water animal is in the image?\n",
      "5471 ) Which brass instrument is shown in this image?\n",
      "5472 ) Which object in this image belongs to the category Firefighting equipment?\n",
      "5473 ) What in this image could be used for holding cereal?\n",
      "5474 ) Which object in this image is capable of holding coffee?\n",
      "5475 ) which object in this image can be used without power\n",
      "5476 ) Which object in this image can be use to hold blueberry?\n",
      "5477 ) Which object in this image is capable of descending slowly by hovering?\n",
      "5478 ) What thing shown in this image has follicles?\n",
      "5479 ) Whether the animal in the image is slower or faster than turtles?\n",
      "5480 ) Which food in this image is a sweet dessert?\n",
      "5481 ) Which animal in this image is the most related to slow\n",
      "5482 ) What item of food packaging is visible in this image?\n",
      "5483 ) which object in this image is spherical\n",
      "5484 ) Which object in this image has the property of shape like sphere?\n",
      "5485 ) Which object in this image belongs to the category Sport?\n",
      "5486 ) What activity in the image requires two teams?\n",
      "5487 ) Which object in this image is an infant cat?\n",
      "5488 ) Which object in this image has the property of round?\n",
      "5489 ) Which object in this image has meat?\n",
      "5490 ) Which of the objects in this image belongs in a kitchen?\n",
      "5491 ) what kind of transportation is cheeper than the object in the middle of this image\n",
      "5492 ) Which object in this image is capable of farming carrots?\n",
      "5493 ) Which object in this image is related to party?\n",
      "5494 ) Which object in this image could sometimes form part of an orchard?\n",
      "5495 ) Which object in this image has leaves on its branches?\n",
      "5496 ) Which object in this image has a leave on their branch\n",
      "5497 ) Which object in this image is an instrument?\n",
      "5498 ) Which object in this image is used for jazz?\n",
      "5499 ) Which object in this image has feathers?\n",
      "5500 ) which object in this image can order food\n",
      "5501 ) What object in the image can be used for recreation?\n",
      "5502 ) which object in this image can write with hand\n",
      "5503 ) What things visible in this image are capable of willing actions?\n",
      "5504 ) Which object in this image is related to bellows?\n",
      "5505 ) what object in this video has bellows?\n",
      "5506 ) Which animal in this image is used for travel fast than on foot?\n",
      "5507 ) What object in this image is related to surfer?\n",
      "5508 ) Which object in this image is related to cane?\n",
      "5509 ) Which object in the image can be used for music production? \n",
      "5510 ) Which object in the image can be used for music production? \n",
      "5511 ) Which object in this image is used for make human life efficient and convenient?\n",
      "5512 ) Which object in this image belongs to the class of furniture?\n",
      "5513 ) Which object in this image belongs to the category digital device?\n",
      "5514 ) What is the four legged object in this image?\n",
      "5515 ) What kind of plant is in the image?\n",
      "5516 ) Which object in this image can jump over object?\n",
      "5517 ) What can be found on this road?\n",
      "5518 ) What is an action less touch than the action shown in this image?\n",
      "5519 ) which sport described in this image is less popular than soccer?\n",
      "5520 ) Which food is related to bake good?\n",
      "5521 ) What can be found in this place?\n",
      "5522 ) Can you identify any medical equipment in the image?\n",
      "5523 ) Which object in this image is related to pedal?\n",
      "5524 ) Which object in this image is powered by humans?\n",
      "5525 ) Which object in this image is powered by humans?\n",
      "5526 ) Which object in the image is associated with Fashion?\n",
      "5527 ) what do you feel with the action in this image\n",
      "5528 ) which object in this image has four legs?\n",
      "5529 ) What is the order of the animal in the image?\n",
      "5530 ) Which object can cut an apple\n",
      "5531 ) Which object will you use, when you want to cut?\n",
      "5532 ) what object in this image is a type of mp3 player?\n",
      "5533 ) what object in this image is used for piercing food?\n",
      "5534 ) Where the food in the image is fried or not?\n",
      "5535 ) What are these people flying?\n",
      "5536 ) Which one in the image can be used for cleaning the body?\n",
      "5537 ) Which appliance in this photo can be used to print pictures\n",
      "5538 ) What instruments are in this image?\n",
      "5539 ) What object in this image has four legs?\n",
      "5540 ) Which object in this image provides shelter?\n",
      "5541 ) Which object in this image is used for privacy?\n",
      "5542 ) What the shape of the animal in the image?\n",
      "5543 ) Which thing in the image is salty?\n",
      "5544 ) Where you can usually find the sea life in this image\n",
      "5545 ) Why do people keep this animal?\n",
      "5546 ) Whether the animal in the image is cold blooded or not?\n",
      "5547 ) Which thing is for sitting on?\n",
      "5548 ) which object in this image is used for sitting?\n",
      "5549 ) Where can you find something to drink in the image?\n",
      "5550 ) What in this image can be found in at bus depot?\n",
      "5551 ) What can be found in this place?\n",
      "5552 ) Which object in this image can clear snow from the road?\n",
      "5553 ) Which object in this image is used for Gymnastics?\n",
      "5554 ) Which object in this image belongs to the category Athletic sports?\n",
      "5555 ) Which object in this image is capable of head north?\n",
      "5556 ) what should the place shown in this image have\n",
      "5557 ) which object in this image is used by the woman for sport\n",
      "5558 ) Which object in this image is used for play?\n",
      "5559 ) Which object in this image has a windshield?\n",
      "5560 ) Which object in this image is similar to a pear?\n",
      "5561 ) Which object in this image is used for rest?\n",
      "5562 ) What appliance is in this image?\n",
      "5563 ) Which object in this image can sometimes be found in a pizza parlour?\n",
      "5564 ) Which object in this image pertains to the category Personal life?\n",
      "5565 ) Which object in this image can you relax on it?\n",
      "5566 ) Which sport depicted in this image is a popular sport in South Korea?\n",
      "5567 ) Which object in this image desires trick others?\n",
      "5568 ) Which object in this image can be found in underwater?\n",
      "5569 ) Which object in this image is used for sitting?\n",
      "5570 ) What thing is related to double click?\n",
      "5571 ) Which object in this image belongs to the category information technology?\n",
      "5572 ) What are you likely to find on a beach?\n",
      "5573 ) Which animal in this image is a reptile?\n",
      "5574 ) What object in this image usually desires go outside?\n",
      "5575 ) Which object in this image is hinged?\n",
      "5576 ) What object can be used for music?\n",
      "5577 ) What in the image can be used for drumbeating\n",
      "5578 ) What object in this image can dry out?\n",
      "5579 ) What is the dangerous animal in the image?\n",
      "5580 ) what is subject in this playground?\n",
      "5581 ) What musical instrument is the shiny metallic object at the bottom of the image.\n",
      "5582 ) Which object in this image does people use for watching news?\n",
      "5583 ) Which object in this image is driven on track?\n",
      "5584 ) Which thing in this image can likely be found in a city?\n",
      "5585 ) What object is used for soccer?\n",
      "5586 ) Which kind of creature can be found in this place?\n",
      "5587 ) Which kind of instument are the people playing?\n",
      "5588 ) Which object in this image is used for play tune?\n",
      "5589 ) Which animal chases mice? \n",
      "5590 ) which object in this image can we use to hold the dog food\n",
      "5591 ) Which objects shown here are used for personal transport?\n",
      "5592 ) Where does the place in this image can be found in?\n",
      "5593 ) What can you often find in this place?\n",
      "5594 ) Which object in this image belongs to the category of Input/output devices?\n",
      "5595 ) When this stuff is first introduced?\n",
      "5596 ) What do rice belong to\n",
      "5597 ) Which thing in this picture is a cultivar?\n",
      "5598 ) Which thing in the image can be used to keep you dry in this situation?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5599 ) What do the animals in the image eat?\n",
      "5600 ) What is the cylindrical object shown in this image ?\n",
      "5601 ) which object in this image is capable of living on an island?\n",
      "5602 ) Which object in this image desires trick others?\n",
      "5603 ) What shown in this image can sometimes be ebony?\n",
      "5604 ) Which object in this image made of wood?\n",
      "5605 ) Which object in this image is capable of planting plants in their yard?\n",
      "5606 ) Which object in this image is acoustic?\n",
      "5607 ) which object in this image can feel ashamed of another person\n",
      "5608 ) Which object in this image is a pet for people?\n",
      "5609 ) Which object in this image can be used for baking bread?\n",
      "5610 ) Which object in this image has a magnetron?\n",
      "5611 ) What shown here is a common builing material?\n",
      "5612 ) Which object in this image might have a rack?\n",
      "5613 ) Which object in the top right is part of computers?\n",
      "5614 ) Which object in the image might be used for play?\n",
      "5615 ) Which object in the image can you play with?\n",
      "5616 ) Which object in this image is a woodwind instrument?\n",
      "5617 ) Which object in this image can be used to create music?\n",
      "5618 ) Which object in this image is similar to a recorder?\n",
      "5619 ) Which animal in this image is capable of sun to warm up?\n",
      "5620 ) Which animal in this image can be found in rock?\n",
      "5621 ) Which object in this image belongs to the category Mammal?\n",
      "5622 ) Which object in this image is a tool\n",
      "5623 ) What is one thing that can be found here?\n",
      "5624 ) what's shown in the image?\n",
      "5625 ) Which object in this image has a wheel？\n",
      "5626 ) What in this image has a banana skin\n",
      "5627 ) What can be found in this place?\n",
      "5628 ) What can be found in this place?\n",
      "5629 ) Which object in this image is created by pouring hot water over ground beans?\n",
      "5630 ) Which object in this image belongs to the category Printing?\n",
      "5631 ) What object in this image is used for sitting?\n",
      "5632 ) Which object in this image is a good place to put pictures?\n",
      "5633 ) Which object in this image desires trick others?\n",
      "5634 ) What can be found in this place?\n",
      "5635 ) What object is used for sitting?\n",
      "5636 ) Which object in this image has a drink\n",
      "5637 ) what does the people work on in this image?\n",
      "5638 ) What object in this image is a type of food or drink?\n",
      "5639 ) Which object in this image belongs to the category Fruit morphology?\n",
      "5640 ) Which object in this image belongs to the category Fruit?\n",
      "5641 ) What is object smaller than desktop computer?\n",
      "5642 ) Which object in this image is used for surprise friend?\n",
      "5643 ) Which object in this image is made with bread?\n",
      "5644 ) What shown in this image is a part of a sandwich?\n",
      "5645 ) Which object in this image is a filling between two slice of bread?\n",
      "5646 ) Which object in this image is part of Society?\n",
      "5647 ) Which object in this image is for get information?\n",
      "5648 ) What object can report news?\n",
      "5649 ) Which mammal can you see in this image?\n",
      "5650 ) what can you find at this location?\n",
      "5651 ) which object in this image is capable of reasoning with another person?\n",
      "5652 ) what is it  in this image is related to wine?\n",
      "5653 ) which one in this image is less light than box?\n",
      "5654 ) What in this image is related to red kite?\n",
      "5655 ) Which part in this image belongs to the category Lists by country?\n",
      "5656 ) What is likely to be found in this place?\n",
      "5657 ) What transportation in this image is cheaper than taxi?\n",
      "5658 ) What is the uncooked food item in this image?\n",
      "5659 ) which object in this image is a type of food or drink?\n",
      "5660 ) What object in the image is able to drive down a street?\n",
      "5661 ) Which object in this image can you eat to enjoy fruit?\n",
      "5662 ) What can likely be found in this place?\n",
      "5663 ) What is likely to be found in this place?\n",
      "5664 ) Which object in this image belongs to the category Off-road vehicle?\n",
      "5665 ) Which object in this image might be used in snocross?\n",
      "5666 ) Which food in this image is baked?\n",
      "5667 ) What thing in this image could be used to clean a brick wall?\n",
      "5668 ) Which object in this image is capable of near island?\n",
      "5669 ) Which animal in this image like live mice\n",
      "5670 ) Tell me the name of the limbless creature?\n",
      "5671 ) What thing in this image like live mice\n",
      "5672 ) What thing in this image is likely to be found in a hole\n",
      "5673 ) Which object has fangs in its mouth\n",
      "5674 ) Which object in this image is the most related to long\n",
      "5675 ) Which object in this image is the most related to long reptile\n",
      "5676 ) Tell me the name of the musical instrument in this image?\n",
      "5677 ) Where does the animal in the middle of the image can be found in?\n",
      "5678 ) What is the morning drink?\n",
      "5679 ) What are you likely to find in the kitchen?\n",
      "5680 ) What happened when you met his animal in the sea?\n",
      "5681 ) what object in this image is yellow?\n",
      "5682 ) Why these animal can hurt people?\n",
      "5683 ) Where is boat found at?\n",
      "5684 ) How many players for each team in this game?\n",
      "5685 ) what can you find in place shown in this image\n",
      "5686 ) which object in this image is often hooked to shore on a dock\n",
      "5687 ) Which object in this image has a video card?\n",
      "5688 ) Which object in this image comes in a bunch?\n",
      "5689 ) Which object in this image belongs to the category Fiber?\n",
      "5690 ) what object in this image can be packed into a ball?\n",
      "5691 ) What can be served here?\n",
      "5692 ) What in this image belongs to the category Developmental biology?\n",
      "5693 ) What object in this image belongs to the category Pollination?\n",
      "5694 ) What in this image belongs to the category Plant sexuality?\n",
      "5695 ) What in this image belongs to the category Environmental design?\n",
      "5696 ) what in this image belongs to the category Human sexuality?\n",
      "5697 ) What in this image belongs to the category Human sexuality?\n",
      "5698 ) What object in this image belongs to the category Landscape?\n",
      "5699 ) What in this image belongs to the category Outdoor recreation?\n",
      "5700 ) Which object in the image can be found at dinner?\n",
      "5701 ) Which object in this image is capable of throwing things?\n",
      "5702 ) Which object in this image has a nose?\n",
      "5703 ) Which object in this image can hang from trees?\n",
      "5704 ) Which object in this image is related to vitamin e?\n",
      "5705 ) Which object in this image is capable of climbing?\n",
      "5706 ) Which object in this image relates to Environmental design?\n",
      "5707 ) Which object in this image belongs to the category Vehicles?\n",
      "5708 ) What food is in this image?\n",
      "5709 ) What is one object in this image which is less important than truth?\n",
      "5710 ) What is the family of the animal in this image?\n",
      "5711 ) Which object in this image belongs to the category Furniture?\n",
      "5712 ) What thing shown here desires inner peace, health, and happiness?\n",
      "5713 ) Which object in this image is a tool?\n",
      "5714 ) Which object in this image can be used to break small metal fasteners\n",
      "5715 ) Which object in this picture is related to sewing\n",
      "5716 ) Which object in this image is the most related to knock\n",
      "5717 ) Which tool is capable of nailing a nail\n",
      "5718 ) Which tool in this image can be used to push a screw into wood\n",
      "5719 ) Which object in this image is a heavy metal object\n",
      "5720 ) Which object in this photo could be used to hurt people\n",
      "5721 ) Which kind of food is sweet in this image?\n",
      "5722 ) Which object in this image belongs to the alcoholic drink?\n",
      "5723 ) Which object in this image is a pest?\n",
      "5724 ) what's on the table\n",
      "5725 ) What is the place in this image capable of?\n",
      "5726 ) What can be found in this room?\n",
      "5727 ) Which animal in this image is related to farm animal?\n",
      "5728 ) which object in this image may be used in making the  vegetable soup\n",
      "5729 ) Which object in this image is a root?\n",
      "5730 ) Which part of the food can be eaten?\n",
      "5731 ) What is the cold cut food in the image?\n",
      "5732 ) Which object in this image is used to keep people dry when it rains?\n",
      "5733 ) Which object in this image can shield one from the rain or sun?\n",
      "5734 ) What will make the clothe wet in this image?\n",
      "5735 ) What can you do in this place?\n",
      "5736 ) What is the object in the girl's hand used for?\n",
      "5737 ) What does this place contain?\n",
      "5738 ) Which object in this image can be used for sit on or lie down?\n",
      "5739 ) which object in this picture want fortune to come to them\n",
      "5740 ) Which object in this image is a where people sleep?\n",
      "5741 ) Which object in this image is soft and warm?\n",
      "5742 ) Which object in this image desires an identity?\n",
      "5743 ) Which object in this image has feathers and can usually fly?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5744 ) Which object in this image belongs to the tennis Equipment?\n",
      "5745 ) which object in this image is a type of food?\n",
      "5746 ) Which object in this image can be found in closet?\n",
      "5747 ) Which thing in this image is alive?\n",
      "5748 ) Which thing shown in this image is related to 360 backflip?\n",
      "5749 ) Which object in this image is related to brick and mortar?\n",
      "5750 ) What in this image desires to interact with people?\n",
      "5751 ) What is the place in this image?\n",
      "5752 ) Where is the pillow placed?\n",
      "5753 ) Which object in this image has a pillow?\n",
      "5754 ) Which object in this image is for relaxation?\n",
      "5755 ) How would you describe the place in this image?\n",
      "5756 ) What colour is the stuff covering the car?\n",
      "5757 ) which food in the image is long?\n",
      "5758 ) What is ambulance used for\n",
      "5759 ) Which animal in the image can be trained to catch?\n",
      "5760 ) what object in this image produces light?\n",
      "5761 ) What thing in the image can be used for entertainment?\n",
      "5762 ) Which object in this image has a fretboard?\n",
      "5763 ) What is used to store liquid?\n",
      "5764 ) Which object in this image is a kind of Automotive technologies?\n",
      "5765 ) Which object in this image can soar?\n",
      "5766 ) Which object in this image is a healthy treat?\n",
      "5767 ) Which of the objects in this image comes from a plant?\n",
      "5768 ) What is the object in the bottom left of this image used for?\n",
      "5769 ) Which boardsport do you see in this image?\n",
      "5770 ) which object can we find at the end of the line in this image\n",
      "5771 ) Which object in this image is a mobility devices?\n",
      "5772 ) Which object in this image can be used for sleeping on?\n",
      "5773 ) What can be found in this place?\n",
      "5774 ) Which object in this image has a valve?\n",
      "5775 ) Which object in this image is capable of smell drug?\n",
      "5776 ) Which furniture is presented in this image?\n",
      "5777 ) Which object in this image has a name\n",
      "5778 ) Which object in this image belongs to the category Baked goods?\n",
      "5779 ) Which desert in this image belongs to the category Baked goods?\n",
      "5780 ) Which object in this image is used for drink water?\n",
      "5781 ) What is one object in this image belonging to the category Teaware?\n",
      "5782 ) which object in this image can give more accurate results than that from human\n",
      "5783 ) What in this image could make up a lawn?\n",
      "5784 ) Is there present in the image any tool used for logging?\n",
      "5785 ) Which object held by the men is used in the timber industry?\n",
      "5786 ) Which sporting item do you see in this image?\n",
      "5787 ) Which fast food in this image contains meat?\n",
      "5788 ) Which object in this image is a simple machine for moving people easily?\n",
      "5789 ) Which object in this image is capable of guard house?\n",
      "5790 ) which kind of animal in this image is faster than human?\n",
      "5791 ) Ingrate is related to which object in this image?\n",
      "5792 ) Which object in this image can of jump high\n",
      "5793 ) Which object in this image is a kind of horn?\n",
      "5794 ) Which object in this image desires clean himself?\n",
      "5795 ) Which object in this image desires clean himself?\n",
      "5796 ) What animal in this image can list mouse?\n",
      "5797 ) what object in this image is better than apple?\n",
      "5798 ) Who likes to play this game?\n",
      "5799 ) Where can you find the object in this image?\n",
      "5800 ) What thing can the objects in this image do?\n",
      "5801 ) The sports in the image is popular in which country?\n",
      "5802 ) What can the object in this image do\n",
      "5803 ) Which object in this image is a stringed instrument?\n",
      "5804 ) what object in this image is a cooling device?\n",
      "5805 ) Which object in this image has a caffine?\n",
      "5806 ) What object in this image can be used to transport a large number of people?\n",
      "5807 ) What object in this image can be used to transport a large number of people?\n",
      "5808 ) Which object in this image is a good city transportation?\n",
      "5809 ) Which object in this image might sail on a pond?\n",
      "5810 ) Which object in this image can be drunk?\n",
      "5811 ) What can this place be used for?\n",
      "5812 ) What object in the image contain pages?\n",
      "5813 ) What is the wind powered thing in the image?\n",
      "5814 ) Which place is less important than the place shown in this image\n",
      "5815 ) Which thing in this image is an instrument?\n",
      "5816 ) Which object in this image is a vegetable?\n",
      "5817 ) Which object is used for keep your head warm in this image?\n",
      "5818 ) What animal is in the center of the image?\n",
      "5819 ) Which object in this image is used for entering data?\n",
      "5820 ) Which object in this image has an escape key?\n",
      "5821 ) which object in this image has feelings?\n",
      "5822 ) which object in this image is capable of wearing a hat?\n",
      "5823 ) which object in this image is capable of opening an envelope?\n",
      "5824 ) which object in this image is capable of boarding a train?\n",
      "5825 ) What in the image is often encountered in the ocean?\n",
      "5826 ) which object in this image is capable of believeing in Santa Claus?\n"
     ]
    }
   ],
   "source": [
    "top_100_similar_facts = []\n",
    "loopcount = 1\n",
    "for index, row in merged_ques_facts_df.iterrows():\n",
    "    print(loopcount, ')', row['question'])\n",
    "#     if loopcount == 10:\n",
    "#         break\n",
    "    loopcount+=1\n",
    "    topK_similar_fact_dict = fact_similarity(row)\n",
    "    top_100_similar_facts.append(topK_similar_fact_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_ques_facts_df['top_100_similar_facts'] = top_100_similar_facts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_ques_facts_df.to_pickle('merged_ques_facts_df.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
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       " 'conceptnet/e/8df3e2498d3fc127358c55cca53a7205e505a71b': 0.8225705027580261,\n",
       " 'conceptnet/e/743ed7eda3c611d0256f80e8b2c07b121d20b248': 0.8222808837890625,\n",
       " 'conceptnet/e/2ac30831c1b54089f8ebb9bc4a2520ef7df37ac6': 0.8222641944885254,\n",
       " 'conceptnet/e/e99da7133f47809a666a374d0c678cb3d08011e3': 0.8222286105155945,\n",
       " 'conceptnet/e/a9da143d59c22b347a05e26bb2cdbe1b92efcbfa': 0.8222147226333618,\n",
       " 'conceptnet/e/494330e52f06b05993464eaca2b2e18cae4f8a3b': 0.8222007155418396,\n",
       " 'conceptnet/e/05f24bc9991e7f8eb337f4fda919f70cad455b5d': 0.8219521045684814,\n",
       " 'conceptnet/e/68e93be61ef2c3b9736a6929209ba3ddec8ed3a3': 0.8212894201278687,\n",
       " 'conceptnet/e/a6e8401a9154721dddb4c9037c75fcabb9dc87d6': 0.8212586045265198,\n",
       " 'conceptnet/e/40ed53dff1ceeb9be52f8bc1023583a3cace49d6': 0.8208128213882446,\n",
       " 'conceptnet/e/916c6d9756b03c7da1ddabdf51d3f73341d3e055': 0.8208012580871582,\n",
       " 'conceptnet/e/e329e0ae36f845f6945dce980b77e65d5520c4f5': 0.8207685947418213}"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_100_similar_facts[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "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>fact_surface</th>\n",
       "      <th>ans_source</th>\n",
       "      <th>answer</th>\n",
       "      <th>question</th>\n",
       "      <th>img_file</th>\n",
       "      <th>visual_concept</th>\n",
       "      <th>kb_source</th>\n",
       "      <th>fact</th>\n",
       "      <th>question_id</th>\n",
       "      <th>KB</th>\n",
       "      <th>e1_label</th>\n",
       "      <th>e2_label</th>\n",
       "      <th>uri</th>\n",
       "      <th>surface</th>\n",
       "      <th>dataset</th>\n",
       "      <th>sources</th>\n",
       "      <th>r</th>\n",
       "      <th>context</th>\n",
       "      <th>score</th>\n",
       "      <th>e1</th>\n",
       "      <th>e2</th>\n",
       "      <th>isnegated</th>\n",
       "      <th>coco_objects</th>\n",
       "      <th>imagenet_objects</th>\n",
       "      <th>places365_labels</th>\n",
       "      <th>hoi_labels</th>\n",
       "      <th>detected_visual_concepts</th>\n",
       "      <th>question_glove_emb</th>\n",
       "      <th>detected_visual_concepts_glove_emb</th>\n",
       "      <th>vc_ques_avg_emb</th>\n",
       "      <th>sg_e1_ids</th>\n",
       "      <th>sg_e2_ids</th>\n",
       "      <th>sg_node_counts</th>\n",
       "      <th>sg_all_relation_list</th>\n",
       "      <th>question_embedding</th>\n",
       "      <th>top_100_similar_facts</th>\n",
       "      <th>predicted_relations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [fact_surface, ans_source, answer, question, img_file, visual_concept, kb_source, fact, question_id, KB, e1_label, e2_label, uri, surface, dataset, sources, r, context, score, e1, e2, isnegated, coco_objects, imagenet_objects, places365_labels, hoi_labels, detected_visual_concepts, question_glove_emb, detected_visual_concepts_glove_emb, vc_ques_avg_emb, sg_e1_ids, sg_e2_ids, sg_node_counts, sg_all_relation_list, question_embedding, top_100_similar_facts, predicted_relations]\n",
       "Index: []"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_ques_facts_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "single positional indexer is out-of-bounds",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-135-55b1b5c5b3ca>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mindex\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m101\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mrow\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmerged_ques_facts_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mshow_fvqa_image\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrow\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'img_file'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;31m# print(row)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrow\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'question'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'detected_visual_concepts'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'answer'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\mucko-edit\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m    923\u001b[0m                 \u001b[1;32mwith\u001b[0m \u001b[0msuppress\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mKeyError\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    924\u001b[0m                     \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtakeable\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_takeable\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 925\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    926\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    927\u001b[0m             \u001b[1;31m# we by definition only have the 0th axis\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\mucko-edit\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_getitem_tuple\u001b[1;34m(self, tup)\u001b[0m\n\u001b[0;32m   1504\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_getitem_tuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtup\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mtuple\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1505\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1506\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_has_valid_tuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1507\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0msuppress\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mIndexingError\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1508\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_lowerdim\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\mucko-edit\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_has_valid_tuple\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m    752\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mk\u001b[0m \u001b[1;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    753\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 754\u001b[1;33m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_key\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    755\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    756\u001b[0m                 raise ValueError(\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\mucko-edit\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_validate_key\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m   1407\u001b[0m             \u001b[1;32mreturn\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1408\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1409\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1410\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1411\u001b[0m             \u001b[1;31m# a tuple should already have been caught by this point\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\mucko-edit\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_validate_integer\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m   1498\u001b[0m         \u001b[0mlen_axis\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1499\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;33m>=\u001b[0m \u001b[0mlen_axis\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;33m<\u001b[0m \u001b[1;33m-\u001b[0m\u001b[0mlen_axis\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1500\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"single positional indexer is out-of-bounds\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1501\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1502\u001b[0m     \u001b[1;31m# -------------------------------------------------------------------\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mIndexError\u001b[0m: single positional indexer is out-of-bounds"
     ]
    }
   ],
   "source": [
    "index = 101\n",
    "row = merged_ques_facts_df.iloc[index,:]\n",
    "show_fvqa_image(row['img_file'])\n",
    "# print(row)\n",
    "print(row[['question', 'detected_visual_concepts','answer']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['person', 'backpack', 'handbag', 'chair', 'banjo', 'bathroom', 'staircase', 'beauty salon', 'shower', 'coffee shop']\n",
      "What stringed instrument is seen here?\n"
     ]
    }
   ],
   "source": [
    "print(row['detected_visual_concepts'])\n",
    "print(row['question'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>e1_label</th>\n",
       "      <th>e2_label</th>\n",
       "      <th>r</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/2af1b5d395e74ea101e8c2326e8732ff423e9fe0</th>\n",
       "      <td>person</td>\n",
       "      <td>use system of abstract think</td>\n",
       "      <td>/r/CapableOf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbpedia/5162</th>\n",
       "      <td>popsicle</td>\n",
       "      <td>Culture of the West Coast of the United States</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbpedia/2319</th>\n",
       "      <td>orange</td>\n",
       "      <td>Culture of the West Coast of the United States</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/943770adb2ef4d15b9f20dbb131afeb7d7eb3234</th>\n",
       "      <td>person</td>\n",
       "      <td>watch sound of music ever</td>\n",
       "      <td>/r/NotDesires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbpedia/23921</th>\n",
       "      <td>playing</td>\n",
       "      <td>Preparation for the future</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/8ae17ef5c09931165f9e4d5b0fa1b49df81bd886</th>\n",
       "      <td>one type of jazz</td>\n",
       "      <td>blue</td>\n",
       "      <td>/r/HasProperty</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/4f7269ab1b8ba15571407261c1b14047ec826b4f</th>\n",
       "      <td>person</td>\n",
       "      <td>all kind of thing</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbpedia/28422</th>\n",
       "      <td>fountain</td>\n",
       "      <td>Types of garden by country of origin</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/e0c8bcb3e63a6bb05e4ebb99dc8db6a0e682acaf</th>\n",
       "      <td>book</td>\n",
       "      <td>many piece of paper put together in signature ...</td>\n",
       "      <td>/r/MadeOf</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/508194bcd6a01a7e84073c06224ad4038bfd1529</th>\n",
       "      <td>person</td>\n",
       "      <td>put different piece of information together</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/cde2451061e99e7d58b6c219e0661025e273ce30</th>\n",
       "      <td>plant</td>\n",
       "      <td>one of dominant life form on planet earth they...</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/af3f064d5b42fb9f47cf4422ce446905ce7f2dc9</th>\n",
       "      <td>saxophone</td>\n",
       "      <td>make out of brass</td>\n",
       "      <td>/r/HasProperty</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/e25e8fc7c90d1fbf83305bdd36a0f36230b42cd3</th>\n",
       "      <td>person</td>\n",
       "      <td>like forget piece of information</td>\n",
       "      <td>/r/NotCapableOf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/3b48710fc5cfc6a03fb91f9669c9cef4a4dad517</th>\n",
       "      <td>book</td>\n",
       "      <td>all kind of taste</td>\n",
       "      <td>/r/AtLocation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/fdded07522efd425ac9e285018091957c54ad307</th>\n",
       "      <td>tree</td>\n",
       "      <td>large and common type of plant that have woode...</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/0e11a57c485b974b1173e32cdf339effb0b149a3</th>\n",
       "      <td>camera</td>\n",
       "      <td>device for record picture of thing that you see</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/a75eaae61113020491953bb296e96b50a9cf6c8a</th>\n",
       "      <td>computer</td>\n",
       "      <td>essential part of today society</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>webchild/182267</th>\n",
       "      <td>city</td>\n",
       "      <td>all the way</td>\n",
       "      <td>cheap#f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/768c167263e553c5bd27cf5fc604479b36c7e36a</th>\n",
       "      <td>person</td>\n",
       "      <td>play instrument</td>\n",
       "      <td>/r/CapableOf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/68b31b5398c3abb3333ed2fca3990f3d44e85bca</th>\n",
       "      <td>person</td>\n",
       "      <td>sense of well be</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/77deaddd59f9610dee1cb54e3b75c2d5017594b7</th>\n",
       "      <td>person</td>\n",
       "      <td>be of good will</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/54cdfa1965e66cf89fae066ac70f18616985e2c1</th>\n",
       "      <td>person</td>\n",
       "      <td>be without sense of purpose</td>\n",
       "      <td>/r/NotDesires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/2ac30831c1b54089f8ebb9bc4a2520ef7df37ac6</th>\n",
       "      <td>person</td>\n",
       "      <td>be take advantage of</td>\n",
       "      <td>/r/NotDesires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/152a57e88e9eb59e0e59a28f0f45dbd706700948</th>\n",
       "      <td>person</td>\n",
       "      <td>be part of group</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/d042b1c7a4d10cc1491b8d264e628629ec80bab0</th>\n",
       "      <td>fire escape</td>\n",
       "      <td>part of build that be external part of some build</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/043b90e6c4a3e16919153ca0bff703325366f8f8</th>\n",
       "      <td>saxophone</td>\n",
       "      <td>musical instrument which be often part of jazz...</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/9350869a2e38840b9b09ffb3ce2c363e43111acf</th>\n",
       "      <td>music be just bunch of note</td>\n",
       "      <td>blue</td>\n",
       "      <td>/r/dbpedia/genre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/b0f9c6642c3b72edcf48f8a096cc06610b4851e4</th>\n",
       "      <td>hand</td>\n",
       "      <td>part of body with five extension which can be ...</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/7c550ce4c06ec1792d87fdaeeb55e280507063d7</th>\n",
       "      <td>violin</td>\n",
       "      <td>important part of our culture</td>\n",
       "      <td>/r/IsA</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/e5dd5536d41ba5fae17de20dc90287d1e81827f9</th>\n",
       "      <td>person</td>\n",
       "      <td>end of line</td>\n",
       "      <td>/r/AtLocation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/1c1ace87f46753f6ff57662109e9047a41e4131a</th>\n",
       "      <td>tv</td>\n",
       "      <td>get glimpse of other part of world</td>\n",
       "      <td>/r/UsedFor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/072275516866967895a2a8b607827f39c1cdec06</th>\n",
       "      <td>person</td>\n",
       "      <td>be think of as interest</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/95ec99b6b497071205fef496fd4a4a6382e87a05</th>\n",
       "      <td>flute</td>\n",
       "      <td>instrument which i want to play most</td>\n",
       "      <td>/r/DefinedAs</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/cc155913df6099671a6e2e341c9c423aa111da4b</th>\n",
       "      <td>person</td>\n",
       "      <td>depend on word of others</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/6cb2e611d2f2e20786f75ef17c5cc085b843dcfc</th>\n",
       "      <td>person</td>\n",
       "      <td>step on piece of glass</td>\n",
       "      <td>/r/NotDesires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/beb631b58a2b8ff8b8cfe0a53b4266ae74db9246</th>\n",
       "      <td>hand</td>\n",
       "      <td>part of human most suit for touch thing</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/d63036ea8bfa0df6a0e74c36bf0f99fd148a1ae6</th>\n",
       "      <td>person</td>\n",
       "      <td>be part of love family</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/01afae28cef196cc1893ea8acaf3c95aea3549dc</th>\n",
       "      <td>city</td>\n",
       "      <td>large group of person together in one area</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbpedia/830</th>\n",
       "      <td>keyboard</td>\n",
       "      <td>Industrial history of the United States</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/63654daf755e7a6518751d1b482980e0fec35238</th>\n",
       "      <td>bird</td>\n",
       "      <td>thing that have size and size be measurement o...</td>\n",
       "      <td>/r/IsA</td>\n",
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       "    <tr>\n",
       "      <th>dbpedia/790</th>\n",
       "      <td>keyboard</td>\n",
       "      <td>Economic history of the United States</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/2c179f07b277cdcfa42a85209701616f603e1baf</th>\n",
       "      <td>person</td>\n",
       "      <td>be with those of like mind</td>\n",
       "      <td>/r/Desires</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/1bd15d7527fb92a3043653dd04014e5abb4aad2a</th>\n",
       "      <td>woodwind instrument be instrument that make mu...</td>\n",
       "      <td>wood</td>\n",
       "      <td>/r/MadeOf</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/84f3b7c2c20fb039b4088c762517ac79a4ca376d</th>\n",
       "      <td>book</td>\n",
       "      <td>collection of symbol on sheet of paper that ha...</td>\n",
       "      <td>/r/IsA</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/abafe666ac59e7b9f0458cd652769d7692792245</th>\n",
       "      <td>person</td>\n",
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       "      <td>/r/CapableOf</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/41da96c94e6a1fc9dcd10a1d38781b3accc7ff1d</th>\n",
       "      <td>person</td>\n",
       "      <td>another way of say person</td>\n",
       "      <td>/r/IsA</td>\n",
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       "    <tr>\n",
       "      <th>dbpedia/1045</th>\n",
       "      <td>mouse</td>\n",
       "      <td>Industrial history of the United States</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
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       "    <tr>\n",
       "      <th>dbpedia/12790</th>\n",
       "      <td>banjo</td>\n",
       "      <td>History of the Southern United States</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/207cda83681218a669c58b745f0d44ca117195d8</th>\n",
       "      <td>person</td>\n",
       "      <td>person skin color doesn't make them different ...</td>\n",
       "      <td>/r/IsA</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/d23b41c739812f258626d8c65dd9983b3853490f</th>\n",
       "      <td>guitar</td>\n",
       "      <td>most common musical instrument use by band</td>\n",
       "      <td>/r/DefinedAs</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/7b410602bb9d192199a3bff419bad8cccc5d5a01</th>\n",
       "      <td>person</td>\n",
       "      <td>take photograph of important event</td>\n",
       "      <td>/r/CapableOf</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/ed0467f57db0bffab3689dd489733f3c5e510d9e</th>\n",
       "      <td>three of kind</td>\n",
       "      <td>hand</td>\n",
       "      <td>/r/RelatedTo</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/4830ea849f46c320915892fd8f7982ef1e14769e</th>\n",
       "      <td>age of reason</td>\n",
       "      <td>person</td>\n",
       "      <td>/r/RelatedTo</td>\n",
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       "    <tr>\n",
       "      <th>dbpedia/12807</th>\n",
       "      <td>banjo</td>\n",
       "      <td>History of the Southern United States</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/34eb56a2e24198ebc34a52506fe7675d89eca169</th>\n",
       "      <td>person</td>\n",
       "      <td>be part of win team</td>\n",
       "      <td>/r/Desires</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/caaab1baf9db47b44051f885300618ef1a32fd87</th>\n",
       "      <td>saxophone</td>\n",
       "      <td>great instrument it be use in jazz heavely</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/603f3a3357708af3c4c2e08069eca4c089f7abc9</th>\n",
       "      <td>person</td>\n",
       "      <td>be but end of joke</td>\n",
       "      <td>/r/NotDesires</td>\n",
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       "    <tr>\n",
       "      <th>dbpedia/12789</th>\n",
       "      <td>banjo</td>\n",
       "      <td>Culture of the Southern United States</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/b04d8485be9b36748f1bcfb2b660c78ccff0ff9e</th>\n",
       "      <td>piano</td>\n",
       "      <td>88 black and white key it be use to play music</td>\n",
       "      <td>/r/PartOf</td>\n",
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       "    <tr>\n",
       "      <th>dbpedia/1458</th>\n",
       "      <td>sandwich</td>\n",
       "      <td>History of the United States by topic</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
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       "    <tr>\n",
       "      <th>dbpedia/1088</th>\n",
       "      <td>mouse</td>\n",
       "      <td>Economic history of the United States</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/47f76fa299270a4cf73412832db59a7cdf4545aa</th>\n",
       "      <td>person</td>\n",
       "      <td>be of sound body and mind</td>\n",
       "      <td>/r/Desires</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/b9f88208e7d1173d09c3e3540152dd2db41bb1e0</th>\n",
       "      <td>guitar</td>\n",
       "      <td>one kind of string instrument</td>\n",
       "      <td>/r/HasProperty</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/51b96d0a83675f259bdb012b451728c8d1e9900c</th>\n",
       "      <td>violin</td>\n",
       "      <td>instrument that make music</td>\n",
       "      <td>/r/IsA</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/4dc173804f5b320402a8bdc9c42d7e56f0f753ec</th>\n",
       "      <td>french horn</td>\n",
       "      <td>difficult instrument to play well</td>\n",
       "      <td>/r/IsA</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/38607415d3c7c8addf552cf77ba3df172bd3ac10</th>\n",
       "      <td>book</td>\n",
       "      <td>full of word</td>\n",
       "      <td>/r/HasProperty</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/69a9b670b4498fcc3703a21cbb143e508d0a3dcb</th>\n",
       "      <td>person</td>\n",
       "      <td>be part of problem</td>\n",
       "      <td>/r/NotDesires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/b1ddf45ae3522cacbebb63bf3dea035ff433da9e</th>\n",
       "      <td>most part of any particular railroad train</td>\n",
       "      <td>metal</td>\n",
       "      <td>/r/MadeOf</td>\n",
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       "    <tr>\n",
       "      <th>dbpedia/4887</th>\n",
       "      <td>stop sign</td>\n",
       "      <td>History of science and technology in the Unite...</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/b76c374930d425142d0baad12b6fa6bdbaf64a2b</th>\n",
       "      <td>statement igloo be house make out of block of ...</td>\n",
       "      <td>ice</td>\n",
       "      <td>/r/MadeOf</td>\n",
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       "    <tr>\n",
       "      <th>conceptnet/e/f7b8fa9907e8f9eb415fa3ee423e411ae18b8742</th>\n",
       "      <td>person</td>\n",
       "      <td>take photograph of very bore thing</td>\n",
       "      <td>/r/NotDesires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/a8d5e4c0f067e4c330744b8eab93c57cb8b1ae6f</th>\n",
       "      <td>piano</td>\n",
       "      <td>large size of commonly play musical instrument</td>\n",
       "      <td>/r/DefinedAs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/62c3de4eee8a1fe638c0886f91725c39b22f7c37</th>\n",
       "      <td>violin</td>\n",
       "      <td>creation of beauty both in it construction and...</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/d169114410c9a4b43b82eabdeca828142420188f</th>\n",
       "      <td>trombone</td>\n",
       "      <td>instrument use to make music</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/7cb0b3e7245cb21b6c3f2f70e79b0257c47cf160</th>\n",
       "      <td>person</td>\n",
       "      <td>be think of as different</td>\n",
       "      <td>/r/NotDesires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/753afc0ab9106ddc8bb1b4338dbd885601a49fe2</th>\n",
       "      <td>tree</td>\n",
       "      <td>one type of life</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbpedia/1094</th>\n",
       "      <td>mouse</td>\n",
       "      <td>Economic history of the United States</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/725cab674d49008ecd73cbb11b920c0164984de3</th>\n",
       "      <td>book</td>\n",
       "      <td>information in guise of word</td>\n",
       "      <td>/r/HasA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/19d3f88f8ef254b64a3ee8214f63a69f591d1f2f</th>\n",
       "      <td>person</td>\n",
       "      <td>find new use for old tool</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/c4d963d757096b4ceb178998769728421d2b5715</th>\n",
       "      <td>person</td>\n",
       "      <td>consider various course of action</td>\n",
       "      <td>/r/CapableOf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/68ed7ef7db76fb7ef21342a633262b53931f6fec</th>\n",
       "      <td>blue</td>\n",
       "      <td>one style of music</td>\n",
       "      <td>/r/DefinedAs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/048c20c44d38b9797a6c6cf5a3e52fdf46d0ed5e</th>\n",
       "      <td>person</td>\n",
       "      <td>more than one name</td>\n",
       "      <td>/r/HasA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>webchild/505295</th>\n",
       "      <td>all the time</td>\n",
       "      <td>old</td>\n",
       "      <td>good#r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/205fbfe41bd4c2092678b59f87701586001d2a09</th>\n",
       "      <td>ruler</td>\n",
       "      <td>straight piece of material that be use for mea...</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/4217633c80e9e48c78dd23bd97a11fecaa91ca0b</th>\n",
       "      <td>person</td>\n",
       "      <td>sense of purpose</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/6364d027a4894b90ece7e22a46fb52c50e82d7f5</th>\n",
       "      <td>person</td>\n",
       "      <td>work all of time</td>\n",
       "      <td>/r/NotDesires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/8ca5c6a43795a86043dff54bd367b6419391db5d</th>\n",
       "      <td>bird</td>\n",
       "      <td>one of many size</td>\n",
       "      <td>/r/HasA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbpedia/946</th>\n",
       "      <td>airplane</td>\n",
       "      <td>History of science and technology in the Unite...</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbpedia/839</th>\n",
       "      <td>keyboard</td>\n",
       "      <td>History of science and technology in the Unite...</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/f0e863689d9be56f4bfdcb5242a1f1b92a0a5bd2</th>\n",
       "      <td>person</td>\n",
       "      <td>be out of touch with reality</td>\n",
       "      <td>/r/NotDesires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/2dda5baa1bcca78522f9814c4d5e3f9f3dc9a61c</th>\n",
       "      <td>mouse</td>\n",
       "      <td>any of several place</td>\n",
       "      <td>/r/AtLocation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/cff3e26069cde07ba815c3f5756398abf4eecd46</th>\n",
       "      <td>person</td>\n",
       "      <td>power money fame or some other measure of success</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/2138947b8695e9edb8a616f6ea60b9639475e3c8</th>\n",
       "      <td>piano</td>\n",
       "      <td>instrument that make music</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/124975875b9347f89e30f4a4c69cc49ad21e014c</th>\n",
       "      <td>person</td>\n",
       "      <td>sail in all kind of boat</td>\n",
       "      <td>/r/CapableOf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbpedia/1070</th>\n",
       "      <td>mouse</td>\n",
       "      <td>History of science and technology in the Unite...</td>\n",
       "      <td>dbpedia/transnbhd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/cc606ad22b6ec138b7cea68ad8871d82c489ebaf</th>\n",
       "      <td>car</td>\n",
       "      <td>one kind of thing</td>\n",
       "      <td>/r/IsA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>webchild/215375</th>\n",
       "      <td>person</td>\n",
       "      <td>all the time</td>\n",
       "      <td>powerful#f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/2d95fcf50ec72bfb5ed4e149f76bd166c329b1ca</th>\n",
       "      <td>house</td>\n",
       "      <td>many kind of roof</td>\n",
       "      <td>/r/HasA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/bbac60f25e0bb89ea73e1ed5a1ef8776f5a5a10d</th>\n",
       "      <td>person</td>\n",
       "      <td>be well think of</td>\n",
       "      <td>/r/Desires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/41ead5dda47e5393099549bf4c3c596bc4f8e127</th>\n",
       "      <td>piano</td>\n",
       "      <td>one kind of musical instrument</td>\n",
       "      <td>/r/HasProperty</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                             e1_label  \\\n",
       "conceptnet/e/2af1b5d395e74ea101e8c2326e8732ff42...                                             person   \n",
       "dbpedia/5162                                                                                 popsicle   \n",
       "dbpedia/2319                                                                                   orange   \n",
       "conceptnet/e/943770adb2ef4d15b9f20dbb131afeb7d7...                                             person   \n",
       "dbpedia/23921                                                                                 playing   \n",
       "conceptnet/e/8ae17ef5c09931165f9e4d5b0fa1b49df8...                                   one type of jazz   \n",
       "conceptnet/e/4f7269ab1b8ba15571407261c1b14047ec...                                             person   \n",
       "dbpedia/28422                                                                                fountain   \n",
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       "conceptnet/e/af3f064d5b42fb9f47cf4422ce446905ce...                                          saxophone   \n",
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       "conceptnet/e/3b48710fc5cfc6a03fb91f9669c9cef4a4...                                               book   \n",
       "conceptnet/e/fdded07522efd425ac9e285018091957c5...                                               tree   \n",
       "conceptnet/e/0e11a57c485b974b1173e32cdf339effb0...                                             camera   \n",
       "conceptnet/e/a75eaae61113020491953bb296e96b50a9...                                           computer   \n",
       "webchild/182267                                                                                  city   \n",
       "conceptnet/e/768c167263e553c5bd27cf5fc604479b36...                                             person   \n",
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       "conceptnet/e/043b90e6c4a3e16919153ca0bff7033253...                                          saxophone   \n",
       "conceptnet/e/9350869a2e38840b9b09ffb3ce2c363e43...                        music be just bunch of note   \n",
       "conceptnet/e/b0f9c6642c3b72edcf48f8a096cc06610b...                                               hand   \n",
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       "dbpedia/830                                                                                  keyboard   \n",
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       "dbpedia/790                                                                                  keyboard   \n",
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       "conceptnet/e/84f3b7c2c20fb039b4088c762517ac79a4...                                               book   \n",
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       "dbpedia/1045                                                                                    mouse   \n",
       "dbpedia/12790                                                                                   banjo   \n",
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       "conceptnet/e/7b410602bb9d192199a3bff419bad8cccc...                                             person   \n",
       "conceptnet/e/ed0467f57db0bffab3689dd489733f3c5e...                                      three of kind   \n",
       "conceptnet/e/4830ea849f46c320915892fd8f7982ef1e...                                      age of reason   \n",
       "dbpedia/12807                                                                                   banjo   \n",
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       "dbpedia/12789                                                                                   banjo   \n",
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       "dbpedia/1458                                                                                 sandwich   \n",
       "dbpedia/1088                                                                                    mouse   \n",
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       "dbpedia/4887                                                                                stop sign   \n",
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       "conceptnet/e/d169114410c9a4b43b82eabdeca8281424...                                           trombone   \n",
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       "conceptnet/e/753afc0ab9106ddc8bb1b4338dbd885601...                                               tree   \n",
       "dbpedia/1094                                                                                    mouse   \n",
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       "conceptnet/e/048c20c44d38b9797a6c6cf5a3e52fdf46...                                             person   \n",
       "webchild/505295                                                                          all the time   \n",
       "conceptnet/e/205fbfe41bd4c2092678b59f8770158600...                                              ruler   \n",
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       "conceptnet/e/8ca5c6a43795a86043dff54bd367b64193...                                               bird   \n",
       "dbpedia/946                                                                                  airplane   \n",
       "dbpedia/839                                                                                  keyboard   \n",
       "conceptnet/e/f0e863689d9be56f4bfdcb5242a1f1b92a...                                             person   \n",
       "conceptnet/e/2dda5baa1bcca78522f9814c4d5e3f9f3d...                                              mouse   \n",
       "conceptnet/e/cff3e26069cde07ba815c3f5756398abf4...                                             person   \n",
       "conceptnet/e/2138947b8695e9edb8a616f6ea60b96394...                                              piano   \n",
       "conceptnet/e/124975875b9347f89e30f4a4c69cc49ad2...                                             person   \n",
       "dbpedia/1070                                                                                    mouse   \n",
       "conceptnet/e/cc606ad22b6ec138b7cea68ad8871d82c4...                                                car   \n",
       "webchild/215375                                                                                person   \n",
       "conceptnet/e/2d95fcf50ec72bfb5ed4e149f76bd166c3...                                              house   \n",
       "conceptnet/e/bbac60f25e0bb89ea73e1ed5a1ef8776f5...                                             person   \n",
       "conceptnet/e/41ead5dda47e5393099549bf4c3c596bc4...                                              piano   \n",
       "\n",
       "                                                                                             e2_label  \\\n",
       "conceptnet/e/2af1b5d395e74ea101e8c2326e8732ff42...                       use system of abstract think   \n",
       "dbpedia/5162                                           Culture of the West Coast of the United States   \n",
       "dbpedia/2319                                           Culture of the West Coast of the United States   \n",
       "conceptnet/e/943770adb2ef4d15b9f20dbb131afeb7d7...                          watch sound of music ever   \n",
       "dbpedia/23921                                                              Preparation for the future   \n",
       "conceptnet/e/8ae17ef5c09931165f9e4d5b0fa1b49df8...                                               blue   \n",
       "conceptnet/e/4f7269ab1b8ba15571407261c1b14047ec...                                  all kind of thing   \n",
       "dbpedia/28422                                                    Types of garden by country of origin   \n",
       "conceptnet/e/e0c8bcb3e63a6bb05e4ebb99dc8db6a0e6...  many piece of paper put together in signature ...   \n",
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       "conceptnet/e/af3f064d5b42fb9f47cf4422ce446905ce...                                  make out of brass   \n",
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       "conceptnet/e/3b48710fc5cfc6a03fb91f9669c9cef4a4...                                  all kind of taste   \n",
       "conceptnet/e/fdded07522efd425ac9e285018091957c5...  large and common type of plant that have woode...   \n",
       "conceptnet/e/0e11a57c485b974b1173e32cdf339effb0...    device for record picture of thing that you see   \n",
       "conceptnet/e/a75eaae61113020491953bb296e96b50a9...                    essential part of today society   \n",
       "webchild/182267                                                                           all the way   \n",
       "conceptnet/e/768c167263e553c5bd27cf5fc604479b36...                                    play instrument   \n",
       "conceptnet/e/68b31b5398c3abb3333ed2fca3990f3d44...                                   sense of well be   \n",
       "conceptnet/e/77deaddd59f9610dee1cb54e3b75c2d501...                                    be of good will   \n",
       "conceptnet/e/54cdfa1965e66cf89fae066ac70f186169...                        be without sense of purpose   \n",
       "conceptnet/e/2ac30831c1b54089f8ebb9bc4a2520ef7d...                               be take advantage of   \n",
       "conceptnet/e/152a57e88e9eb59e0e59a28f0f45dbd706...                                   be part of group   \n",
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       "conceptnet/e/043b90e6c4a3e16919153ca0bff7033253...  musical instrument which be often part of jazz...   \n",
       "conceptnet/e/9350869a2e38840b9b09ffb3ce2c363e43...                                               blue   \n",
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       "conceptnet/e/e5dd5536d41ba5fae17de20dc90287d1e8...                                        end of line   \n",
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       "conceptnet/e/072275516866967895a2a8b607827f39c1...                            be think of as interest   \n",
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       "conceptnet/e/d63036ea8bfa0df6a0e74c36bf0f99fd14...                             be part of love family   \n",
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       "dbpedia/830                                                   Industrial history of the United States   \n",
       "conceptnet/e/63654daf755e7a6518751d1b482980e0fe...  thing that have size and size be measurement o...   \n",
       "dbpedia/790                                                     Economic history of the United States   \n",
       "conceptnet/e/2c179f07b277cdcfa42a85209701616f60...                         be with those of like mind   \n",
       "conceptnet/e/1bd15d7527fb92a3043653dd04014e5abb...                                               wood   \n",
       "conceptnet/e/84f3b7c2c20fb039b4088c762517ac79a4...  collection of symbol on sheet of paper that ha...   \n",
       "conceptnet/e/abafe666ac59e7b9f0458cd652769d7692...                             hold one view of world   \n",
       "conceptnet/e/41da96c94e6a1fc9dcd10a1d38781b3acc...                          another way of say person   \n",
       "dbpedia/1045                                                  Industrial history of the United States   \n",
       "dbpedia/12790                                                   History of the Southern United States   \n",
       "conceptnet/e/207cda83681218a669c58b745f0d44ca11...  person skin color doesn't make them different ...   \n",
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       "conceptnet/e/7b410602bb9d192199a3bff419bad8cccc...                 take photograph of important event   \n",
       "conceptnet/e/ed0467f57db0bffab3689dd489733f3c5e...                                               hand   \n",
       "conceptnet/e/4830ea849f46c320915892fd8f7982ef1e...                                             person   \n",
       "dbpedia/12807                                                   History of the Southern United States   \n",
       "conceptnet/e/34eb56a2e24198ebc34a52506fe7675d89...                                be part of win team   \n",
       "conceptnet/e/caaab1baf9db47b44051f885300618ef1a...         great instrument it be use in jazz heavely   \n",
       "conceptnet/e/603f3a3357708af3c4c2e08069eca4c089...                                 be but end of joke   \n",
       "dbpedia/12789                                                   Culture of the Southern United States   \n",
       "conceptnet/e/b04d8485be9b36748f1bcfb2b660c78ccf...     88 black and white key it be use to play music   \n",
       "dbpedia/1458                                                    History of the United States by topic   \n",
       "dbpedia/1088                                                    Economic history of the United States   \n",
       "conceptnet/e/47f76fa299270a4cf73412832db59a7cdf...                          be of sound body and mind   \n",
       "conceptnet/e/b9f88208e7d1173d09c3e3540152dd2db4...                      one kind of string instrument   \n",
       "conceptnet/e/51b96d0a83675f259bdb012b451728c8d1...                         instrument that make music   \n",
       "conceptnet/e/4dc173804f5b320402a8bdc9c42d7e56f0...                  difficult instrument to play well   \n",
       "conceptnet/e/38607415d3c7c8addf552cf77ba3df172b...                                       full of word   \n",
       "conceptnet/e/69a9b670b4498fcc3703a21cbb143e508d...                                 be part of problem   \n",
       "conceptnet/e/b1ddf45ae3522cacbebb63bf3dea035ff4...                                              metal   \n",
       "dbpedia/4887                                        History of science and technology in the Unite...   \n",
       "conceptnet/e/b76c374930d425142d0baad12b6fa6bdba...                                                ice   \n",
       "conceptnet/e/f7b8fa9907e8f9eb415fa3ee423e411ae1...                 take photograph of very bore thing   \n",
       "conceptnet/e/a8d5e4c0f067e4c330744b8eab93c57cb8...     large size of commonly play musical instrument   \n",
       "conceptnet/e/62c3de4eee8a1fe638c0886f91725c39b2...  creation of beauty both in it construction and...   \n",
       "conceptnet/e/d169114410c9a4b43b82eabdeca8281424...                       instrument use to make music   \n",
       "conceptnet/e/7cb0b3e7245cb21b6c3f2f70e79b0257c4...                           be think of as different   \n",
       "conceptnet/e/753afc0ab9106ddc8bb1b4338dbd885601...                                   one type of life   \n",
       "dbpedia/1094                                                    Economic history of the United States   \n",
       "conceptnet/e/725cab674d49008ecd73cbb11b920c0164...                       information in guise of word   \n",
       "conceptnet/e/19d3f88f8ef254b64a3ee8214f63a69f59...                          find new use for old tool   \n",
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       "conceptnet/e/68ed7ef7db76fb7ef21342a633262b5393...                                 one style of music   \n",
       "conceptnet/e/048c20c44d38b9797a6c6cf5a3e52fdf46...                                 more than one name   \n",
       "webchild/505295                                                                                   old   \n",
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       "conceptnet/e/4217633c80e9e48c78dd23bd97a11fecaa...                                   sense of purpose   \n",
       "conceptnet/e/6364d027a4894b90ece7e22a46fb52c50e...                                   work all of time   \n",
       "conceptnet/e/8ca5c6a43795a86043dff54bd367b64193...                                   one of many size   \n",
       "dbpedia/946                                         History of science and technology in the Unite...   \n",
       "dbpedia/839                                         History of science and technology in the Unite...   \n",
       "conceptnet/e/f0e863689d9be56f4bfdcb5242a1f1b92a...                       be out of touch with reality   \n",
       "conceptnet/e/2dda5baa1bcca78522f9814c4d5e3f9f3d...                               any of several place   \n",
       "conceptnet/e/cff3e26069cde07ba815c3f5756398abf4...  power money fame or some other measure of success   \n",
       "conceptnet/e/2138947b8695e9edb8a616f6ea60b96394...                         instrument that make music   \n",
       "conceptnet/e/124975875b9347f89e30f4a4c69cc49ad2...                           sail in all kind of boat   \n",
       "dbpedia/1070                                        History of science and technology in the Unite...   \n",
       "conceptnet/e/cc606ad22b6ec138b7cea68ad8871d82c4...                                  one kind of thing   \n",
       "webchild/215375                                                                          all the time   \n",
       "conceptnet/e/2d95fcf50ec72bfb5ed4e149f76bd166c3...                                  many kind of roof   \n",
       "conceptnet/e/bbac60f25e0bb89ea73e1ed5a1ef8776f5...                                   be well think of   \n",
       "conceptnet/e/41ead5dda47e5393099549bf4c3c596bc4...                     one kind of musical instrument   \n",
       "\n",
       "                                                                    r  \n",
       "conceptnet/e/2af1b5d395e74ea101e8c2326e8732ff42...       /r/CapableOf  \n",
       "dbpedia/5162                                        dbpedia/transnbhd  \n",
       "dbpedia/2319                                        dbpedia/transnbhd  \n",
       "conceptnet/e/943770adb2ef4d15b9f20dbb131afeb7d7...      /r/NotDesires  \n",
       "dbpedia/23921                                       dbpedia/transnbhd  \n",
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       "dbpedia/28422                                       dbpedia/transnbhd  \n",
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       "webchild/182267                                               cheap#f  \n",
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       "conceptnet/e/072275516866967895a2a8b607827f39c1...         /r/Desires  \n",
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       "conceptnet/e/cc155913df6099671a6e2e341c9c423aa1...         /r/Desires  \n",
       "conceptnet/e/6cb2e611d2f2e20786f75ef17c5cc085b8...      /r/NotDesires  \n",
       "conceptnet/e/beb631b58a2b8ff8b8cfe0a53b4266ae74...             /r/IsA  \n",
       "conceptnet/e/d63036ea8bfa0df6a0e74c36bf0f99fd14...         /r/Desires  \n",
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       "dbpedia/830                                         dbpedia/transnbhd  \n",
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       "dbpedia/790                                         dbpedia/transnbhd  \n",
       "conceptnet/e/2c179f07b277cdcfa42a85209701616f60...         /r/Desires  \n",
       "conceptnet/e/1bd15d7527fb92a3043653dd04014e5abb...          /r/MadeOf  \n",
       "conceptnet/e/84f3b7c2c20fb039b4088c762517ac79a4...             /r/IsA  \n",
       "conceptnet/e/abafe666ac59e7b9f0458cd652769d7692...       /r/CapableOf  \n",
       "conceptnet/e/41da96c94e6a1fc9dcd10a1d38781b3acc...             /r/IsA  \n",
       "dbpedia/1045                                        dbpedia/transnbhd  \n",
       "dbpedia/12790                                       dbpedia/transnbhd  \n",
       "conceptnet/e/207cda83681218a669c58b745f0d44ca11...             /r/IsA  \n",
       "conceptnet/e/d23b41c739812f258626d8c65dd9983b38...       /r/DefinedAs  \n",
       "conceptnet/e/7b410602bb9d192199a3bff419bad8cccc...       /r/CapableOf  \n",
       "conceptnet/e/ed0467f57db0bffab3689dd489733f3c5e...       /r/RelatedTo  \n",
       "conceptnet/e/4830ea849f46c320915892fd8f7982ef1e...       /r/RelatedTo  \n",
       "dbpedia/12807                                       dbpedia/transnbhd  \n",
       "conceptnet/e/34eb56a2e24198ebc34a52506fe7675d89...         /r/Desires  \n",
       "conceptnet/e/caaab1baf9db47b44051f885300618ef1a...             /r/IsA  \n",
       "conceptnet/e/603f3a3357708af3c4c2e08069eca4c089...      /r/NotDesires  \n",
       "dbpedia/12789                                       dbpedia/transnbhd  \n",
       "conceptnet/e/b04d8485be9b36748f1bcfb2b660c78ccf...          /r/PartOf  \n",
       "dbpedia/1458                                        dbpedia/transnbhd  \n",
       "dbpedia/1088                                        dbpedia/transnbhd  \n",
       "conceptnet/e/47f76fa299270a4cf73412832db59a7cdf...         /r/Desires  \n",
       "conceptnet/e/b9f88208e7d1173d09c3e3540152dd2db4...     /r/HasProperty  \n",
       "conceptnet/e/51b96d0a83675f259bdb012b451728c8d1...             /r/IsA  \n",
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       "conceptnet/e/38607415d3c7c8addf552cf77ba3df172b...     /r/HasProperty  \n",
       "conceptnet/e/69a9b670b4498fcc3703a21cbb143e508d...      /r/NotDesires  \n",
       "conceptnet/e/b1ddf45ae3522cacbebb63bf3dea035ff4...          /r/MadeOf  \n",
       "dbpedia/4887                                        dbpedia/transnbhd  \n",
       "conceptnet/e/b76c374930d425142d0baad12b6fa6bdba...          /r/MadeOf  \n",
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       "conceptnet/e/a8d5e4c0f067e4c330744b8eab93c57cb8...       /r/DefinedAs  \n",
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       "conceptnet/e/7cb0b3e7245cb21b6c3f2f70e79b0257c4...      /r/NotDesires  \n",
       "conceptnet/e/753afc0ab9106ddc8bb1b4338dbd885601...             /r/IsA  \n",
       "dbpedia/1094                                        dbpedia/transnbhd  \n",
       "conceptnet/e/725cab674d49008ecd73cbb11b920c0164...            /r/HasA  \n",
       "conceptnet/e/19d3f88f8ef254b64a3ee8214f63a69f59...         /r/Desires  \n",
       "conceptnet/e/c4d963d757096b4ceb178998769728421d...       /r/CapableOf  \n",
       "conceptnet/e/68ed7ef7db76fb7ef21342a633262b5393...       /r/DefinedAs  \n",
       "conceptnet/e/048c20c44d38b9797a6c6cf5a3e52fdf46...            /r/HasA  \n",
       "webchild/505295                                                good#r  \n",
       "conceptnet/e/205fbfe41bd4c2092678b59f8770158600...             /r/IsA  \n",
       "conceptnet/e/4217633c80e9e48c78dd23bd97a11fecaa...         /r/Desires  \n",
       "conceptnet/e/6364d027a4894b90ece7e22a46fb52c50e...      /r/NotDesires  \n",
       "conceptnet/e/8ca5c6a43795a86043dff54bd367b64193...            /r/HasA  \n",
       "dbpedia/946                                         dbpedia/transnbhd  \n",
       "dbpedia/839                                         dbpedia/transnbhd  \n",
       "conceptnet/e/f0e863689d9be56f4bfdcb5242a1f1b92a...      /r/NotDesires  \n",
       "conceptnet/e/2dda5baa1bcca78522f9814c4d5e3f9f3d...      /r/AtLocation  \n",
       "conceptnet/e/cff3e26069cde07ba815c3f5756398abf4...         /r/Desires  \n",
       "conceptnet/e/2138947b8695e9edb8a616f6ea60b96394...             /r/IsA  \n",
       "conceptnet/e/124975875b9347f89e30f4a4c69cc49ad2...       /r/CapableOf  \n",
       "dbpedia/1070                                        dbpedia/transnbhd  \n",
       "conceptnet/e/cc606ad22b6ec138b7cea68ad8871d82c4...             /r/IsA  \n",
       "webchild/215375                                            powerful#f  \n",
       "conceptnet/e/2d95fcf50ec72bfb5ed4e149f76bd166c3...            /r/HasA  \n",
       "conceptnet/e/bbac60f25e0bb89ea73e1ed5a1ef8776f5...         /r/Desires  \n",
       "conceptnet/e/41ead5dda47e5393099549bf4c3c596bc4...     /r/HasProperty  "
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_filter = ['e1_label', 'e2_label', 'r']\n",
    "all_facts_data_df[all_facts_data_df.index.isin([*row['top_100_similar_facts']][0:100])][col_filter].head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>e1_label</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>conceptnet/e/b0f9c6642c3b72edcf48f8a096cc06610b4851e4</th>\n",
       "      <td>hand</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                                                                                             e1_label  \\\n",
       "conceptnet/e/b0f9c6642c3b72edcf48f8a096cc06610b...                                               hand   \n",
       "conceptnet/e/f6f82efb9cb144239bb12d10cfce965514...                                             person   \n",
       "conceptnet/e/1ca1e156c530715b93d79422c16a1d90c7...                                             person   \n",
       "conceptnet/e/bdb278197e7b379d787a9fb0fd24688a73...  difference between bicycle and audience one be...   \n",
       "conceptnet/e/84f3b7c2c20fb039b4088c762517ac79a4...                                               book   \n",
       "...                                                                                               ...   \n",
       "conceptnet/e/77deaddd59f9610dee1cb54e3b75c2d501...                                             person   \n",
       "conceptnet/e/7e40c16e62f53d14fbd4442d7079225a68...                                                cat   \n",
       "conceptnet/e/17d71f5516324ef132fd52d1ad6dfe6660...                                             person   \n",
       "conceptnet/e/8734ca7ada6c8ba4c3b9f25a7936570ccb...                                             person   \n",
       "conceptnet/e/d6a4fe641a84cc10c791ad0959edfde3d7...                                             person   \n",
       "\n",
       "                                                                                             e2_label  \\\n",
       "conceptnet/e/b0f9c6642c3b72edcf48f8a096cc06610b...  part of body with five extension which can be ...   \n",
       "conceptnet/e/f6f82efb9cb144239bb12d10cfce965514...                             know which way be home   \n",
       "conceptnet/e/1ca1e156c530715b93d79422c16a1d90c7...                               be put in centrfuige   \n",
       "conceptnet/e/bdb278197e7b379d787a9fb0fd24688a73...                                              metal   \n",
       "conceptnet/e/84f3b7c2c20fb039b4088c762517ac79a4...  collection of symbol on sheet of paper that ha...   \n",
       "...                                                                                               ...   \n",
       "conceptnet/e/77deaddd59f9610dee1cb54e3b75c2d501...                                    be of good will   \n",
       "conceptnet/e/7e40c16e62f53d14fbd4442d7079225a68...                play with thing that they shouldn't   \n",
       "conceptnet/e/17d71f5516324ef132fd52d1ad6dfe6660...                               his child to be well   \n",
       "conceptnet/e/8734ca7ada6c8ba4c3b9f25a7936570ccb...                               be leave out in cold   \n",
       "conceptnet/e/d6a4fe641a84cc10c791ad0959edfde3d7...                             be in no win situation   \n",
       "\n",
       "                                                                r  \\\n",
       "conceptnet/e/b0f9c6642c3b72edcf48f8a096cc06610b...         /r/IsA   \n",
       "conceptnet/e/f6f82efb9cb144239bb12d10cfce965514...     /r/Desires   \n",
       "conceptnet/e/1ca1e156c530715b93d79422c16a1d90c7...  /r/NotDesires   \n",
       "conceptnet/e/bdb278197e7b379d787a9fb0fd24688a73...      /r/MadeOf   \n",
       "conceptnet/e/84f3b7c2c20fb039b4088c762517ac79a4...         /r/IsA   \n",
       "...                                                           ...   \n",
       "conceptnet/e/77deaddd59f9610dee1cb54e3b75c2d501...     /r/Desires   \n",
       "conceptnet/e/7e40c16e62f53d14fbd4442d7079225a68...     /r/Desires   \n",
       "conceptnet/e/17d71f5516324ef132fd52d1ad6dfe6660...     /r/Desires   \n",
       "conceptnet/e/8734ca7ada6c8ba4c3b9f25a7936570ccb...  /r/NotDesires   \n",
       "conceptnet/e/d6a4fe641a84cc10c791ad0959edfde3d7...  /r/NotDesires   \n",
       "\n",
       "                                                    similarty_scores  \n",
       "conceptnet/e/b0f9c6642c3b72edcf48f8a096cc06610b...          0.885676  \n",
       "conceptnet/e/f6f82efb9cb144239bb12d10cfce965514...          0.867537  \n",
       "conceptnet/e/1ca1e156c530715b93d79422c16a1d90c7...          0.863351  \n",
       "conceptnet/e/bdb278197e7b379d787a9fb0fd24688a73...          0.862770  \n",
       "conceptnet/e/84f3b7c2c20fb039b4088c762517ac79a4...          0.862736  \n",
       "...                                                              ...  \n",
       "conceptnet/e/77deaddd59f9610dee1cb54e3b75c2d501...          0.827736  \n",
       "conceptnet/e/7e40c16e62f53d14fbd4442d7079225a68...          0.827655  \n",
       "conceptnet/e/17d71f5516324ef132fd52d1ad6dfe6660...          0.827601  \n",
       "conceptnet/e/8734ca7ada6c8ba4c3b9f25a7936570ccb...          0.827435  \n",
       "conceptnet/e/d6a4fe641a84cc10c791ad0959edfde3d7...          0.827047  \n",
       "\n",
       "[100 rows x 4 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top K similar facts\n",
    "col_filter = ['e1_label', 'e2_label', 'r', 'similarty_scores']\n",
    "all_facts_data_df.loc[list(topK_similar_fact_dict.keys()), col_filter]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "pycharm": {
     "is_executing": true,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def node_embedding(node):\n",
    "    node = ''.join([label for label in node if label not in punctuation])\n",
    "    node_words = node.split()\n",
    "    node_words_emb = []\n",
    "    if len(node_words) == 0:\n",
    "        return np.zeros(300, dtype=np.float32)\n",
    "    for w in node_words:\n",
    "        try:\n",
    "            node_words_emb.append(embeddings_dict[w.lower()])\n",
    "        except KeyError:\n",
    "            return np.zeros(300, dtype=np.float32)\n",
    "    node_words_emb = np.array(node_words_emb)\n",
    "    node_words_emb = np.average(node_words_emb, axis=0)\n",
    "    return node_words_emb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Semantic Graph Creation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "pycharm": {
     "is_executing": true,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'e1_lable': 'controller', 'relation': 'Property', 'e2_lable': 'white'},\n",
       " {'e1_lable': 'shirt', 'relation': 'Property', 'e2_lable': 'long'},\n",
       " {'e1_lable': 'shirt', 'relation': 'Property', 'e2_lable': 'black'},\n",
       " {'e1_lable': 'group', 'relation': 'of', 'e2_lable': 'people'},\n",
       " {'e1_lable': 'tree', 'relation': 'with', 'e2_lable': 'sign'},\n",
       " {'e1_lable': 'sign', 'relation': 'Property', 'e2_lable': 'red'},\n",
       " {'e1_lable': 'sign', 'relation': 'Property', 'e2_lable': 'yellow'},\n",
       " {'e1_lable': 'leaf', 'relation': 'on', 'e2_lable': 'tree'},\n",
       " {'e1_lable': 'leaf', 'relation': 'Property', 'e2_lable': 'green'},\n",
       " {'e1_lable': 'handle', 'relation': 'of', 'e2_lable': 'motorcycle'},\n",
       " {'e1_lable': 'statue', 'relation': 'of', 'e2_lable': 'tree'},\n",
       " {'e1_lable': 'shirt', 'relation': 'Property', 'e2_lable': 'blue'}]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import json\n",
    "semantic_graph_dict = dict()\n",
    "with open(\"fvqa_data//captions_scene_graph//captions_with_scenegraphs.json\", 'r') as f:\n",
    "    semantic_graph_data = json.loads(f.read())\n",
    "\n",
    "for sm_graph in semantic_graph_data:\n",
    "    semantic_graph_dict[sm_graph['img_name']] = sm_graph\n",
    "\n",
    "semantic_graph_dict['ILSVRC2012_test_00050748.JPEG']['scenegraph']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "is_executing": true,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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    }
   ],
   "source": [
    "sg_all_nodes_list = []\n",
    "sg_all_relation_list = []\n",
    "sg_all_e1_label_list = []\n",
    "sg_all_e2_label_list = []\n",
    "sg_node_counts = []\n",
    "\n",
    "sg_e1_ids_dgl = []\n",
    "sg_e2_ids_dgl = []\n",
    "\n",
    "count = 1\n",
    "\n",
    "node_features = []\n",
    "edge_features = []\n",
    "for index, row in merged_ques_facts_df.iterrows():\n",
    "#     if count == 5:\n",
    "#         break\n",
    "#     count+=1\n",
    "    print(index)\n",
    "    sg_nodes_list = []\n",
    "    sg_relation_list = []\n",
    "    sg_e1_label_list = []\n",
    "    sg_e2_label_list = []\n",
    "\n",
    "    sg_labels_encoding = {}\n",
    "    sg_e1_id_dgl = []\n",
    "    sg_e2_id_dgl = []\n",
    "    sg_label = 0\n",
    "    for fact in semantic_graph_dict[row['img_file']]['scenegraph']:\n",
    "        if fact['e1_lable'] not in sg_labels_encoding:\n",
    "            sg_labels_encoding[fact['e1_lable']] = sg_label\n",
    "            sg_e1_id_dgl.append(sg_label)\n",
    "            sg_label += 1\n",
    "        else:\n",
    "            sg_e1_id_dgl.append(sg_labels_encoding[fact['e1_lable']])\n",
    "\n",
    "        if fact['e2_lable'] not in sg_labels_encoding:\n",
    "            sg_labels_encoding[fact['e2_lable']] = sg_label\n",
    "            sg_e2_id_dgl.append(sg_label)\n",
    "            sg_label += 1\n",
    "        else:\n",
    "            sg_e2_id_dgl.append(sg_labels_encoding[fact['e2_lable']])\n",
    "\n",
    "        sg_relation_list.append(fact['relation'].lower())\n",
    "\n",
    "\n",
    "\n",
    "    sg_e1_ids_dgl.append(sg_e1_id_dgl)\n",
    "    sg_e2_ids_dgl.append(sg_e2_id_dgl)\n",
    "    sg_all_relation_list.append(sg_relation_list)\n",
    "    sg_node_counts.append(len(sg_labels_encoding.keys()))\n",
    "\n",
    "\n",
    "    node_emabeddings = [node_embedding(n).tolist() for n in sg_labels_encoding.keys() ]\n",
    "    node_features.append(np.array(node_emabeddings))\n",
    "\n",
    "    relation_embeddings = [node_embedding(r).tolist() for r in sg_relation_list ]\n",
    "    edge_features.append(np.array(relation_embeddings))\n",
    "\n",
    "\n",
    "merged_ques_facts_df['sg_e1_ids'] = sg_e1_ids_dgl\n",
    "merged_ques_facts_df['sg_e2_ids'] = sg_e2_ids_dgl\n",
    "merged_ques_facts_df['sg_node_counts'] = sg_node_counts\n",
    "merged_ques_facts_df['sg_all_relation_list'] = sg_all_relation_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "pycharm": {
     "is_executing": true,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "np.savez(\"fvqa_data//our_features//semantic_graph_train_feature.npz\", node_features = np.array(node_features),\n",
    "         edge_features = np.array(edge_features))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Vocabulary word count and glove embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "pycharm": {
     "is_executing": true,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import json\n",
    "with open('fvqa_data//our_features//word_count.json', 'r') as j:\n",
    "    fvqa_count_words = json.loads(j.read())\n",
    "fvqa_vocb_embedding = []\n",
    "for key in fvqa_count_words.keys():\n",
    "    fvqa_vocb_embedding.append(node_embedding(key))\n",
    "np.save('fvqa_data//our_features//glove300dvocab.npy', np.array(fvqa_vocb_embedding))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "pycharm": {
     "is_executing": true,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "max_ques_len = 25\n",
    "def find_question_embeddings(question):\n",
    "    ques_emb = [fvqa_vocab_to_int[re.sub('[^a-zA-Z]+', '', y)] for y in question.lower().split()]\n",
    "    padding = max_ques_len - len(ques_emb)\n",
    "    ques_emb.extend(np.zeros(padding, dtype=np.int8))\n",
    "    return ques_emb\n",
    "merged_ques_facts_df['question_embedding'] = merged_ques_facts_df['question'].apply(lambda x:find_question_embeddings(x))\n",
    "merged_ques_facts_df['question_embedding'] = merged_ques_facts_df['question_embedding'].apply(lambda x: [int(e) for e in x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
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