Crypto_Answer.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "Crypto_Answer.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    },
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "0235e79c9fc4485e8b5b2f41476481c0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_041a85a598d94978aa08e32f7b913a55",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_09a7e76d56864760b06d70793dc8dcf3",
              "IPY_MODEL_72f7feac9b9a48f1bcfb29b326b93acc",
              "IPY_MODEL_583b6204bb144813b50772b8e5f5186f"
            ]
          }
        },
        "041a85a598d94978aa08e32f7b913a55": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "09a7e76d56864760b06d70793dc8dcf3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_ba92bc9417b64f0b811e54fd99b39013",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_6c53c9db5a924c73a021853b4843a9fa"
          }
        },
        "72f7feac9b9a48f1bcfb29b326b93acc": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_61b8cfcea0744303b814800951bc09d5",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 571,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 571,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_a268f9fe4cc348baa2f71b8ccc76f4d8"
          }
        },
        "583b6204bb144813b50772b8e5f5186f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_620ef60ee58b4a8a8b2e3218c653d359",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 571/571 [00:00&lt;00:00, 7.29kB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_c56ac358565a47de9f5a129e06b04251"
          }
        },
        "ba92bc9417b64f0b811e54fd99b39013": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "6c53c9db5a924c73a021853b4843a9fa": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "61b8cfcea0744303b814800951bc09d5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "a268f9fe4cc348baa2f71b8ccc76f4d8": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "620ef60ee58b4a8a8b2e3218c653d359": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "c56ac358565a47de9f5a129e06b04251": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "163443f201e74712800cc8a736fc770c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_54b0ecfa14ed472db68b317850b8ad7f",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_ef8e2cdbaf754e51a0ba9e3f4abc2e97",
              "IPY_MODEL_b53e678016f0443e864cf8fa4ec00132",
              "IPY_MODEL_245d0d5da2dd4e24b41a2caf7f00ec38"
            ]
          }
        },
        "54b0ecfa14ed472db68b317850b8ad7f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "ef8e2cdbaf754e51a0ba9e3f4abc2e97": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_d1778898d9684cac898a25d073b02a7d",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_37bbcdd03f704ba58cc642e3ac0a3040"
          }
        },
        "b53e678016f0443e864cf8fa4ec00132": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_df89b12d3e39487a9adbfc44a8366716",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 496313727,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 496313727,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_3f87f61e74b24f2c9e195f858e14fabe"
          }
        },
        "245d0d5da2dd4e24b41a2caf7f00ec38": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_2be2ce26a7004dd6a0dba64e31cde73a",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 496M/496M [00:17&lt;00:00, 28.7MB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_7c081f9bffbf4dfc80bb8fb457851715"
          }
        },
        "d1778898d9684cac898a25d073b02a7d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "37bbcdd03f704ba58cc642e3ac0a3040": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "df89b12d3e39487a9adbfc44a8366716": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "3f87f61e74b24f2c9e195f858e14fabe": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "2be2ce26a7004dd6a0dba64e31cde73a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "7c081f9bffbf4dfc80bb8fb457851715": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "ec5a6b66faf54a9092a04ae7ae1af0ea": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_684cd086d4ed447abd19d87dd099812d",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_ac98222709eb45a9a0275fa928ce14e7",
              "IPY_MODEL_55953aaa21de4ad193868b4bf37deaaf",
              "IPY_MODEL_5242b203de1745e1a2ac0a6ad1f5222f"
            ]
          }
        },
        "684cd086d4ed447abd19d87dd099812d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "ac98222709eb45a9a0275fa928ce14e7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_8034d9b864d544fdb8f8d597d4d6e5ca",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_b666b3bfc5494bf29f41674867222758"
          }
        },
        "55953aaa21de4ad193868b4bf37deaaf": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_02c701760249416f8484e128fd4b366b",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 898822,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 898822,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_11e659f842c840feaa0b127aa57ef080"
          }
        },
        "5242b203de1745e1a2ac0a6ad1f5222f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_19c689df155b4165a5c194baa0057011",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 899k/899k [00:00&lt;00:00, 903kB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_59be427d24a94740923eda41f5dc7575"
          }
        },
        "8034d9b864d544fdb8f8d597d4d6e5ca": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "b666b3bfc5494bf29f41674867222758": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "02c701760249416f8484e128fd4b366b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "11e659f842c840feaa0b127aa57ef080": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "19c689df155b4165a5c194baa0057011": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "59be427d24a94740923eda41f5dc7575": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "5838febd43524d6e8427e4f21a1fc1cd": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_1fc2cccdad0741db87ae7591af401664",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_2a626fd3c4594eb28edea3b09b1a9bc8",
              "IPY_MODEL_f9ce0c5e01ff4987aa2e24ddaa81895c",
              "IPY_MODEL_29236b49ece54c0a9e39f9aa327684b2"
            ]
          }
        },
        "1fc2cccdad0741db87ae7591af401664": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "2a626fd3c4594eb28edea3b09b1a9bc8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_ee9042bfbc094a0a8fb2082b3399853a",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_b19aa9ec49ef44f8a7125660d74f477b"
          }
        },
        "f9ce0c5e01ff4987aa2e24ddaa81895c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_49e899b9d1694cea9a19dbe57ad6d8e3",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 456318,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 456318,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_30c68ac835ad452aaed8bd8f086e3365"
          }
        },
        "29236b49ece54c0a9e39f9aa327684b2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_877c74bc240a47739bb04f656dd14aba",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 456k/456k [00:00&lt;00:00, 954kB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_67cf38d2690a4e6bad70a39793b16255"
          }
        },
        "ee9042bfbc094a0a8fb2082b3399853a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "b19aa9ec49ef44f8a7125660d74f477b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "49e899b9d1694cea9a19dbe57ad6d8e3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "30c68ac835ad452aaed8bd8f086e3365": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "877c74bc240a47739bb04f656dd14aba": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "67cf38d2690a4e6bad70a39793b16255": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "3b9e86326c10408f96b5495140b0b353": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_bc7222cb9cd54376a42ffd19863f5467",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_fdd966e448d54f7a83d32f610105c6c4",
              "IPY_MODEL_c21d4c9f1c594285a276f21dc094e7d3",
              "IPY_MODEL_2ddb9e1e324d440ca5827bdb4ced7792"
            ]
          }
        },
        "bc7222cb9cd54376a42ffd19863f5467": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "fdd966e448d54f7a83d32f610105c6c4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_1bbf9c26eeda4383814dcbb49e2f25ac",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_2a36fa726b874cae9d180e240695f629"
          }
        },
        "c21d4c9f1c594285a276f21dc094e7d3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_f44d53d89e024af6aad36d953e309086",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 772,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 772,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_4c1678b0ab02408bb0d2d3898751b6bd"
          }
        },
        "2ddb9e1e324d440ca5827bdb4ced7792": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_aeab05255d8f4f209f2febb279fc1702",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 772/772 [00:00&lt;00:00, 18.1kB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_857e10f4566847c2ab99de5791e15667"
          }
        },
        "1bbf9c26eeda4383814dcbb49e2f25ac": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "2a36fa726b874cae9d180e240695f629": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "f44d53d89e024af6aad36d953e309086": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "4c1678b0ab02408bb0d2d3898751b6bd": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "aeab05255d8f4f209f2febb279fc1702": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "857e10f4566847c2ab99de5791e15667": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "fc852227dcec45dab418f6f84274986a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_79100f6ea81e4ca680e6b71b1f209d42",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_65d434706c0b4642bd6e842e9d8d1713",
              "IPY_MODEL_d54c02c438de48b49b6ee5befbea3466",
              "IPY_MODEL_0d0a8ec1e24b4a6dbe53b3825fb63384"
            ]
          }
        },
        "79100f6ea81e4ca680e6b71b1f209d42": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "65d434706c0b4642bd6e842e9d8d1713": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_58100419553349bd8198caedf7a9b78e",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_6e5a99b96e1c4a8bbba5d3b7b773ad8d"
          }
        },
        "d54c02c438de48b49b6ee5befbea3466": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_32a41d5e86514722844bfaba07acf15c",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 79,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 79,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_f4067ef1e383443fb8cb0e1356d7c7a7"
          }
        },
        "0d0a8ec1e24b4a6dbe53b3825fb63384": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_b303cebd44e445b6a6ac2b3c2ffc13da",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 79.0/79.0 [00:00&lt;00:00, 2.04kB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_fe630e6f1e434ac4b7d73e6f05362dbb"
          }
        },
        "58100419553349bd8198caedf7a9b78e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "6e5a99b96e1c4a8bbba5d3b7b773ad8d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "32a41d5e86514722844bfaba07acf15c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "f4067ef1e383443fb8cb0e1356d7c7a7": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "b303cebd44e445b6a6ac2b3c2ffc13da": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "fe630e6f1e434ac4b7d73e6f05362dbb": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "ea72cdd96ae7484aaee4572f7f435572": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_86a7f9863c7943f1bdbb6e88d4d1587c",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_ca9e4cecc6524b95aded2ce8a627fd61",
              "IPY_MODEL_12e8267f5603478e99ee132e54a6619a",
              "IPY_MODEL_62349e877e5c49978b07c91d04f4ab55"
            ]
          }
        },
        "86a7f9863c7943f1bdbb6e88d4d1587c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "ca9e4cecc6524b95aded2ce8a627fd61": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_21e4ea1138b9486bbc36deeb2855e44e",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_dd0a69697fff42bdaea2fd6f5c05203a"
          }
        },
        "12e8267f5603478e99ee132e54a6619a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_51918f498f05408a949a6659435dd0e6",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 231508,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 231508,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_b6b99dc9a74e4b47a046f3e9e197a65f"
          }
        },
        "62349e877e5c49978b07c91d04f4ab55": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_a5fe6834912e4b98b901c0064211e511",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 232k/232k [00:00&lt;00:00, 1.17MB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_2d55b4e9c7b549438545c27306cde0de"
          }
        },
        "21e4ea1138b9486bbc36deeb2855e44e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "dd0a69697fff42bdaea2fd6f5c05203a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "51918f498f05408a949a6659435dd0e6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "b6b99dc9a74e4b47a046f3e9e197a65f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "a5fe6834912e4b98b901c0064211e511": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "2d55b4e9c7b549438545c27306cde0de": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "3cf3a6dbbca54e62ada3fb2a4e4832bb": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_ad42d0fe1a4e4ab2b6c6346b2c31ae4a",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_a3c9cc73e5cd4088acae955bc9e39c1b",
              "IPY_MODEL_634e13a91d9042dc8d17cbe08f8ae216",
              "IPY_MODEL_99d982a6d24945c89d02b5fe9f71387a"
            ]
          }
        },
        "ad42d0fe1a4e4ab2b6c6346b2c31ae4a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "a3c9cc73e5cd4088acae955bc9e39c1b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_cf2bacfea8064ff5bc550c84b02b3a58",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_a38932c313c24578beaccf8c6218af2e"
          }
        },
        "634e13a91d9042dc8d17cbe08f8ae216": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_f56c6ded4d214625b6a1819eb916def5",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 466062,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 466062,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_7812f19bcb634e7d9338a04f0cfa4a92"
          }
        },
        "99d982a6d24945c89d02b5fe9f71387a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_9e6daa3ae2884b91b5cadfff212b9cf6",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 466k/466k [00:00&lt;00:00, 1.35MB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_8cc58e0554c245958b14e1051183f11f"
          }
        },
        "cf2bacfea8064ff5bc550c84b02b3a58": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "a38932c313c24578beaccf8c6218af2e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "f56c6ded4d214625b6a1819eb916def5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "7812f19bcb634e7d9338a04f0cfa4a92": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "9e6daa3ae2884b91b5cadfff212b9cf6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "8cc58e0554c245958b14e1051183f11f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "c08a783185bb4149b0dcd95be02f6a66": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_f3e4dcb899b74970a032871b9e930f79",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_273d422540e34ec5a670e6b69d2a4c52",
              "IPY_MODEL_f482b36b9b2a4900922a749a5f883eb7",
              "IPY_MODEL_ea5634a6ad0048f09d9559c3363fd665"
            ]
          }
        },
        "f3e4dcb899b74970a032871b9e930f79": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "273d422540e34ec5a670e6b69d2a4c52": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_529d0cde3f634c9bb02707c8630662fc",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_b4caa62a832d4dc3b4dade6d8313695c"
          }
        },
        "f482b36b9b2a4900922a749a5f883eb7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_b896175e718c40f29cdd57d2c09d27bb",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 28,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 28,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_a9197946387942a9adef04f7e5d5c4f0"
          }
        },
        "ea5634a6ad0048f09d9559c3363fd665": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_b7d3c3213fe643e1989c31be28bdf91c",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 28.0/28.0 [00:00&lt;00:00, 621B/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_f717daf44ef74a0eb9a354d8251d95be"
          }
        },
        "529d0cde3f634c9bb02707c8630662fc": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "b4caa62a832d4dc3b4dade6d8313695c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "b896175e718c40f29cdd57d2c09d27bb": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "a9197946387942a9adef04f7e5d5c4f0": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "b7d3c3213fe643e1989c31be28bdf91c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "f717daf44ef74a0eb9a354d8251d95be": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "4a1f843258074f399f6b548dcb6b0f3e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_59c36c5527c84cd7ac5e1cf3913d3582",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_b40ea7567fa7475688323da676b5f8e7",
              "IPY_MODEL_0b4499501f894b8eb5e36d15fc461881",
              "IPY_MODEL_a1d56b9401e742c99b35fe093f479cb5"
            ]
          }
        },
        "59c36c5527c84cd7ac5e1cf3913d3582": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "b40ea7567fa7475688323da676b5f8e7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_03f1e27385274858baabe4d5e31d40a0",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_1bb1c2308baf47a6b2f31348fa8035de"
          }
        },
        "0b4499501f894b8eb5e36d15fc461881": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_d53e35e0934a4ad18c5f47634f99e54c",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 493,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 493,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_111b39fa701c4245b8db7d6c2dfbea8e"
          }
        },
        "a1d56b9401e742c99b35fe093f479cb5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_f85ddb847b614bd2a20b50aee605bf7d",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 493/493 [00:00&lt;00:00, 14.6kB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_8c0ddfca78ad437a8d404bc0e6dd3fbb"
          }
        },
        "03f1e27385274858baabe4d5e31d40a0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "1bb1c2308baf47a6b2f31348fa8035de": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "d53e35e0934a4ad18c5f47634f99e54c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "111b39fa701c4245b8db7d6c2dfbea8e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "f85ddb847b614bd2a20b50aee605bf7d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "8c0ddfca78ad437a8d404bc0e6dd3fbb": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "9f648a28c85d4696ac39d7ec928b1221": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_d96d9a57a2d44a0da6c39e98be3cdd1d",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_449966b08381449bbc44f81b5d5264a4",
              "IPY_MODEL_48dbe9d51e62474996b06dfd55ac5565",
              "IPY_MODEL_4768bc920ca2445e96030332689912be"
            ]
          }
        },
        "d96d9a57a2d44a0da6c39e98be3cdd1d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "449966b08381449bbc44f81b5d5264a4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_60aa187e5a5f4d7daccf5043a00f0a3a",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_0ec7b95dc18f4606857aba39ec6e0aef"
          }
        },
        "48dbe9d51e62474996b06dfd55ac5565": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_9b981ab4324f4ad38428692ec4d847bb",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 437986065,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 437986065,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_e1fab7cb4ace4ef9926c33b5d68a5d9b"
          }
        },
        "4768bc920ca2445e96030332689912be": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_1cdc977c373548c2939930b9cb5f7b60",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 438M/438M [00:16&lt;00:00, 26.0MB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_91f8bfb71e43473abc025ecbda4088cb"
          }
        },
        "60aa187e5a5f4d7daccf5043a00f0a3a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "0ec7b95dc18f4606857aba39ec6e0aef": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "9b981ab4324f4ad38428692ec4d847bb": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "e1fab7cb4ace4ef9926c33b5d68a5d9b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "1cdc977c373548c2939930b9cb5f7b60": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "91f8bfb71e43473abc025ecbda4088cb": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "57a8cc9d64c243a69378329d3153f42b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_a98d9c15543546dfa171303b05ff951a",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_fa372e729d3b4be0a428cbfe603d19dc",
              "IPY_MODEL_2c5f2e26eeb44953bd30aaceee7301d8",
              "IPY_MODEL_03ad9c54b4c541c780733516a9f2a512"
            ]
          }
        },
        "a98d9c15543546dfa171303b05ff951a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "fa372e729d3b4be0a428cbfe603d19dc": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_a449565353e348759b3a131418a0a2cf",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_1e3ab24315e64f33b5e2faaf0473e86d"
          }
        },
        "2c5f2e26eeb44953bd30aaceee7301d8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_39790cd5116c441480298dad60fee7b3",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 231508,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 231508,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_e7edaadc62294e7682aade00f998e48a"
          }
        },
        "03ad9c54b4c541c780733516a9f2a512": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_558b43cdf34a4e6b87fefdee47430a24",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 232k/232k [00:00&lt;00:00, 1.24MB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_2a53332f93b74a2e8468c0bc9afe5773"
          }
        },
        "a449565353e348759b3a131418a0a2cf": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "1e3ab24315e64f33b5e2faaf0473e86d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "39790cd5116c441480298dad60fee7b3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "e7edaadc62294e7682aade00f998e48a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "558b43cdf34a4e6b87fefdee47430a24": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "2a53332f93b74a2e8468c0bc9afe5773": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "e94af3cac2df430fa7a7708398e043ac": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_acdd420b0ac84e0b8fca6241b90f31ba",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_c6c992e0eb4d47bbaba6a4741da38e08",
              "IPY_MODEL_44eb02fa875c490bba02ce739139f94e",
              "IPY_MODEL_330d82674b414ea2930d1b00eb99278c"
            ]
          }
        },
        "acdd420b0ac84e0b8fca6241b90f31ba": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "c6c992e0eb4d47bbaba6a4741da38e08": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_63b7631ffade4735800020bb7effda58",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_ccfbb2a0403d4061b633228bd0df8851"
          }
        },
        "44eb02fa875c490bba02ce739139f94e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_9cce83fe11b94258931b9a433e46db5d",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 466062,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 466062,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_688289bb22ad4588933a37f46dbb7750"
          }
        },
        "330d82674b414ea2930d1b00eb99278c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_b6a9ef2a323943aeb92368bd4217c458",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 466k/466k [00:00&lt;00:00, 358kB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_4d5c566fdde64b649a56537d62c2950e"
          }
        },
        "63b7631ffade4735800020bb7effda58": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "ccfbb2a0403d4061b633228bd0df8851": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "9cce83fe11b94258931b9a433e46db5d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "688289bb22ad4588933a37f46dbb7750": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "b6a9ef2a323943aeb92368bd4217c458": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "4d5c566fdde64b649a56537d62c2950e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "a28e3fb75c8b47bf808aebb32497e291": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_bc6bd3b146724e59bf2419d4c31c7e94",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_a050a0e26f9d4356893a923888ebf3b1",
              "IPY_MODEL_bfd00f3abf9d41c7bc779dbefef4229d",
              "IPY_MODEL_460af7fa437b40039bc88755bf5874a6"
            ]
          }
        },
        "bc6bd3b146724e59bf2419d4c31c7e94": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "a050a0e26f9d4356893a923888ebf3b1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_7df7dd2249334b8b91ee47f06beac118",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_867c251589f34ff184e16eec11af8b2b"
          }
        },
        "bfd00f3abf9d41c7bc779dbefef4229d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_e27bac1820784040b0a7ff9b0e053b7b",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 28,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 28,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_ff41d6b547cd4d5aa3b3750de5678a57"
          }
        },
        "460af7fa437b40039bc88755bf5874a6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_a0edb03fc6a6449882cc43a28a504ecd",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 28.0/28.0 [00:00&lt;00:00, 762B/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_906fc5d4ea094f76a24cac47b557cd7e"
          }
        },
        "7df7dd2249334b8b91ee47f06beac118": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "867c251589f34ff184e16eec11af8b2b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "e27bac1820784040b0a7ff9b0e053b7b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "ff41d6b547cd4d5aa3b3750de5678a57": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "a0edb03fc6a6449882cc43a28a504ecd": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "906fc5d4ea094f76a24cac47b557cd7e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "9de1ef0b4f5143bda5a61a4a1097fa53": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_bf68d130efb447d1806ecb20d09ff938",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_8868c842d26e44b9bba38946c0773d4c",
              "IPY_MODEL_142c74a088764b02b538f9f81308a6f5",
              "IPY_MODEL_f6e9e7df5c6247568ae6b18aaa76eb32"
            ]
          }
        },
        "bf68d130efb447d1806ecb20d09ff938": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "8868c842d26e44b9bba38946c0773d4c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_88e2983bcbdd4e08b3789d115df5a828",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_1640e86710a64060815d919a8e836511"
          }
        },
        "142c74a088764b02b538f9f81308a6f5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_3ad461b532ef41be93a4f25a8254add9",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 492,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 492,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_3bf512620dbb460d97bcddff2b90d66b"
          }
        },
        "f6e9e7df5c6247568ae6b18aaa76eb32": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_741bcf26cf774adaa829eb4b763fc903",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 492/492 [00:00&lt;00:00, 11.9kB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_0810cf0e63b5459185fd2bf9531ab16b"
          }
        },
        "88e2983bcbdd4e08b3789d115df5a828": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "1640e86710a64060815d919a8e836511": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "3ad461b532ef41be93a4f25a8254add9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "3bf512620dbb460d97bcddff2b90d66b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "741bcf26cf774adaa829eb4b763fc903": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "0810cf0e63b5459185fd2bf9531ab16b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "0110188ca06346a896c84d5bc1679d9d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_35fb8bec63cb490fa22b3ca06e5c938b",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_014c53a21b1242acac900b83cd81de60",
              "IPY_MODEL_acc011a39e5a4ff49b82df1030fedf17",
              "IPY_MODEL_81916f8f2b9d4f2daa89be06ba4e2fe4"
            ]
          }
        },
        "35fb8bec63cb490fa22b3ca06e5c938b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "014c53a21b1242acac900b83cd81de60": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_343317cab7b74f94b80e9cde514e513c",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Downloading: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_667aa44de43e46ab8a277be2356ac387"
          }
        },
        "acc011a39e5a4ff49b82df1030fedf17": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_ffc6623d92504ea2b0be7c97451801c4",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 437983985,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 437983985,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_483f21d284594f17b168dc797cb98194"
          }
        },
        "81916f8f2b9d4f2daa89be06ba4e2fe4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_dc4edf4a8a0d45949ef4c308f3767530",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 438M/438M [00:16&lt;00:00, 23.2MB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_31c4103b9b2a4a9180360c1238e24e74"
          }
        },
        "343317cab7b74f94b80e9cde514e513c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "667aa44de43e46ab8a277be2356ac387": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "ffc6623d92504ea2b0be7c97451801c4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "483f21d284594f17b168dc797cb98194": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "dc4edf4a8a0d45949ef4c308f3767530": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "31c4103b9b2a4a9180360c1238e24e74": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "f5f6c5019196407898eac01e9f383c1e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_217d15cec30d4989b2e2104d3d8c8ca5",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_0c89777d4bcf4c8b9095013cde60df97",
              "IPY_MODEL_c4f5e9346b09415a9935cbec2e6068c0",
              "IPY_MODEL_43e271296f9347a581238e2d49786a5c"
            ]
          }
        },
        "217d15cec30d4989b2e2104d3d8c8ca5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "0c89777d4bcf4c8b9095013cde60df97": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_9115061fea5e49f89f43f749c028d7a0",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Updating embeddings: ",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_a7361ece31bf4ab3956c99cc4d1a9186"
          }
        },
        "c4f5e9346b09415a9935cbec2e6068c0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_8298fedfb4ac445d94d4fca38d7dafc3",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 816,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 816,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_5430bc2b2aec46b68568ec815e6b2f27"
          }
        },
        "43e271296f9347a581238e2d49786a5c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_2994a373a2644479ae47e0524968a662",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 10000/? [00:34&lt;00:00, 285.87 Docs/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_a8991e5ea7fc4c129c0a925bbd8a9474"
          }
        },
        "9115061fea5e49f89f43f749c028d7a0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "a7361ece31bf4ab3956c99cc4d1a9186": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "8298fedfb4ac445d94d4fca38d7dafc3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "5430bc2b2aec46b68568ec815e6b2f27": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "2994a373a2644479ae47e0524968a662": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "a8991e5ea7fc4c129c0a925bbd8a9474": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "e11e9578e1d54eafac527f2b0ac72936": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_e48cd14a728748eaac090b9dd084c18f",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_3a68c7328e39462f941683d183a72e38",
              "IPY_MODEL_29e70ab6c823429fb97ca65c25763b9c",
              "IPY_MODEL_f06c6fa0cb5d4f5385eadd7ad16590f2"
            ]
          }
        },
        "e48cd14a728748eaac090b9dd084c18f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "3a68c7328e39462f941683d183a72e38": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_74e0d25d95e246dfad1f92a0277f2e33",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Create embeddings: 100%",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_ae35357467194c3988d9f4a254366125"
          }
        },
        "29e70ab6c823429fb97ca65c25763b9c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_bb9cc36652a746f0af54c3d4d0001a55",
            "_dom_classes": [],
            "description": "",
            "_model_name": "FloatProgressModel",
            "bar_style": "",
            "max": 816,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 816,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_ee9b74aa3784492792526f0a0aa12e48"
          }
        },
        "f06c6fa0cb5d4f5385eadd7ad16590f2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_f74e2ed2f54146d191ef1b1898c0d2eb",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 816/816 [00:24&lt;00:00, 34.22 Docs/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_ea0d0ef8d566490fae97f7e246366b5c"
          }
        },
        "74e0d25d95e246dfad1f92a0277f2e33": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "ae35357467194c3988d9f4a254366125": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "bb9cc36652a746f0af54c3d4d0001a55": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "ee9b74aa3784492792526f0a0aa12e48": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "f74e2ed2f54146d191ef1b1898c0d2eb": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "ea0d0ef8d566490fae97f7e246366b5c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UHtRUaPYf7D2"
      },
      "source": [
        "##**Crypto-Answer**\n",
        "###Annika Köhler (2145451), Markus Schmidbauer (2144933) BA Medieninformatik\n",
        " \n",
        "Cryptocurrencies as alternative investment forms are in high demand [1]. Cyptocurrency-Websites which display data including information about the price or the volume of each of the thousands currencies are confusing and overwhelming especially for newcomers [2][1]. A Question-Answering (QA) system for cryptocurrency can fix this problem. The purpose of such a QA-System is to be simple and effective for a user to recieve an answer to a question on the topic of cryptocurrency.\n",
        "In the following a Question-Answering System for Cryptocurrency is being implemented. \n",
        "\n",
        "We used Haystack to build our QA-system [3].\n",
        "\n",
        "While implementing this project Haystack released a new Version 0.10.0 fixing previous issues.\n",
        "Therefore the customization of the pipeline is based on the new version, while all other tools and functions used are based on the previous release version 0.9.0 and modified by ourselfs to work on our Google Colab notebook!\n",
        "\n",
        " \n",
        "---\n",
        " \n",
        " \n",
        "Make sure you open this notebook in a Chrome (or Chromium-based) browser, otherwise complication with the webcrawler could arise.\n",
        "\n",
        "\n",
        "\n",
        "---\n",
        "\n",
        "**The QA-systems architecture:**\n",
        "\n",
        "<img height=\"400px\" src= \"https://drive.google.com/uc?export=view&id=1CpzXC_YuMFifrlum67ILLxWW0-X6-81E\">\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y9UGxk1NKnsI"
      },
      "source": [
        "##Installation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BVweQetZJ8q9"
      },
      "source": [
        "Make sure you enable the GPU runtime to experience decent speed.\n",
        " \n",
        "Do the following steps:\n",
        " \n",
        " \n",
        " \n",
        "1.   click in the menu-bar at the top on Runtime\n",
        "2.   click in the drop-down menu on Change Runtime type\n",
        "3.   for the Hardware accelerator select -> GPU\n",
        "4.   click save"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o3kj3EUDgYUk",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "c182b2e3-df6a-4d41-85ac-8bbf86aca9c4"
      },
      "source": [
        "#Make sure you enable the GPU runtime to experience decent speed\n",
        "!nvidia-smi\n",
        " \n",
        "#Installation of Haystack\n",
        "!pip install farm-haystack==0.10.0\n",
        "\n",
        "#Install to be able to create a connection to our website\n",
        "!pip install anvil-uplink"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fri Sep 17 12:42:12 2021       \n",
            "+-----------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 470.63.01    Driver Version: 460.32.03    CUDA Version: 11.2     |\n",
            "|-------------------------------+----------------------+----------------------+\n",
            "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
            "|                               |                      |               MIG M. |\n",
            "|===============================+======================+======================|\n",
            "|   0  Tesla K80           Off  | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   30C    P8    29W / 149W |      0MiB / 11441MiB |      0%      Default |\n",
            "|                               |                      |                  N/A |\n",
            "+-------------------------------+----------------------+----------------------+\n",
            "                                                                               \n",
            "+-----------------------------------------------------------------------------+\n",
            "| Processes:                                                                  |\n",
            "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
            "|        ID   ID                                                   Usage      |\n",
            "|=============================================================================|\n",
            "|  No running processes found                                                 |\n",
            "+-----------------------------------------------------------------------------+\n",
            "Collecting farm-haystack==0.10.0\n",
            "  Downloading farm_haystack-0.10.0-py3-none-any.whl (200 kB)\n",
            "\u001b[K     |████████████████████████████████| 200 kB 5.2 MB/s \n",
            "\u001b[?25hCollecting python-multipart\n",
            "  Downloading python-multipart-0.0.5.tar.gz (32 kB)\n",
            "Requirement already satisfied: more-itertools in /usr/local/lib/python3.7/dist-packages (from farm-haystack==0.10.0) (8.8.0)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.7/dist-packages (from farm-haystack==0.10.0) (2.6.2)\n",
            "Collecting langdetect\n",
            "  Downloading langdetect-1.0.9.tar.gz (981 kB)\n",
            "\u001b[K     |████████████████████████████████| 981 kB 31.9 MB/s \n",
            "\u001b[?25hCollecting uvloop==0.14\n",
            "  Downloading uvloop-0.14.0-cp37-cp37m-manylinux2010_x86_64.whl (3.8 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.8 MB 33.4 MB/s \n",
            "\u001b[?25hCollecting httptools\n",
            "  Downloading httptools-0.3.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (402 kB)\n",
            "\u001b[K     |████████████████████████████████| 402 kB 38.7 MB/s \n",
            "\u001b[?25hCollecting pytesseract==0.3.7\n",
            "  Downloading pytesseract-0.3.7.tar.gz (13 kB)\n",
            "Collecting farm==0.8.0\n",
            "  Downloading farm-0.8.0-py3-none-any.whl (204 kB)\n",
            "\u001b[K     |████████████████████████████████| 204 kB 42.9 MB/s \n",
            "\u001b[?25hCollecting psycopg2-binary\n",
            "  Downloading psycopg2_binary-2.9.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.4 MB 34.6 MB/s \n",
            "\u001b[?25hRequirement already satisfied: coverage in /usr/local/lib/python3.7/dist-packages (from farm-haystack==0.10.0) (3.7.1)\n",
            "Collecting pdf2image==1.14.0\n",
            "  Downloading pdf2image-1.14.0-py3-none-any.whl (10 kB)\n",
            "Collecting sqlalchemy-utils\n",
            "  Downloading SQLAlchemy_Utils-0.37.8-py3-none-any.whl (100 kB)\n",
            "\u001b[K     |████████████████████████████████| 100 kB 9.2 MB/s \n",
            "\u001b[?25hCollecting fastapi\n",
            "  Downloading fastapi-0.68.1-py3-none-any.whl (52 kB)\n",
            "\u001b[K     |████████████████████████████████| 52 kB 884 kB/s \n",
            "\u001b[?25hCollecting pillow==8.3.2\n",
            "  Downloading Pillow-8.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.0 MB 28.3 MB/s \n",
            "\u001b[?25hCollecting elasticsearch<=7.10,>=7.7\n",
            "  Downloading elasticsearch-7.10.0-py2.py3-none-any.whl (321 kB)\n",
            "\u001b[K     |████████████████████████████████| 321 kB 37.4 MB/s \n",
            "\u001b[?25hCollecting pymilvus\n",
            "  Downloading pymilvus-1.1.2-py3-none-any.whl (56 kB)\n",
            "\u001b[K     |████████████████████████████████| 56 kB 4.0 MB/s \n",
            "\u001b[?25hCollecting uvicorn\n",
            "  Downloading uvicorn-0.15.0-py3-none-any.whl (54 kB)\n",
            "\u001b[K     |████████████████████████████████| 54 kB 2.7 MB/s \n",
            "\u001b[?25hCollecting gunicorn\n",
            "  Downloading gunicorn-20.1.0-py3-none-any.whl (79 kB)\n",
            "\u001b[K     |████████████████████████████████| 79 kB 7.5 MB/s \n",
            "\u001b[?25hCollecting weaviate-client==2.5.0\n",
            "  Downloading weaviate_client-2.5.0-py3-none-any.whl (56 kB)\n",
            "\u001b[K     |████████████████████████████████| 56 kB 4.5 MB/s \n",
            "\u001b[?25hCollecting tox\n",
            "  Downloading tox-3.24.4-py2.py3-none-any.whl (85 kB)\n",
            "\u001b[K     |████████████████████████████████| 85 kB 4.2 MB/s \n",
            "\u001b[?25hCollecting tika\n",
            "  Downloading tika-1.24.tar.gz (28 kB)\n",
            "Requirement already satisfied: sklearn in /usr/local/lib/python3.7/dist-packages (from farm-haystack==0.10.0) (0.0)\n",
            "Collecting SPARQLWrapper\n",
            "  Downloading SPARQLWrapper-1.8.5-py3-none-any.whl (26 kB)\n",
            "Collecting ray==1.5.0\n",
            "  Downloading ray-1.5.0-cp37-cp37m-manylinux2014_x86_64.whl (51.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 51.5 MB 22 kB/s \n",
            "\u001b[?25hRequirement already satisfied: sqlalchemy>=1.4.2 in /usr/local/lib/python3.7/dist-packages (from farm-haystack==0.10.0) (1.4.22)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from farm-haystack==0.10.0) (1.1.5)\n",
            "Collecting sentence-transformers>=0.4.0\n",
            "  Downloading sentence-transformers-2.0.0.tar.gz (85 kB)\n",
            "\u001b[K     |████████████████████████████████| 85 kB 4.2 MB/s \n",
            "\u001b[?25hCollecting elastic-apm\n",
            "  Downloading elastic_apm-6.4.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (332 kB)\n",
            "\u001b[K     |████████████████████████████████| 332 kB 45.1 MB/s \n",
            "\u001b[?25hCollecting mmh3\n",
            "  Downloading mmh3-3.0.0-cp37-cp37m-manylinux2010_x86_64.whl (50 kB)\n",
            "\u001b[K     |████████████████████████████████| 50 kB 6.8 MB/s \n",
            "\u001b[?25hCollecting python-docx\n",
            "  Downloading python-docx-0.8.11.tar.gz (5.6 MB)\n",
            "\u001b[K     |████████████████████████████████| 5.6 MB 50.0 MB/s \n",
            "\u001b[?25hCollecting faiss-cpu>=1.6.3\n",
            "  Downloading faiss_cpu-1.7.1.post2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 8.4 MB 20.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: nltk in /usr/local/lib/python3.7/dist-packages (from farm-haystack==0.10.0) (3.2.5)\n",
            "Collecting seqeval\n",
            "  Downloading seqeval-1.2.2.tar.gz (43 kB)\n",
            "\u001b[K     |████████████████████████████████| 43 kB 2.0 MB/s \n",
            "\u001b[?25hCollecting sentencepiece\n",
            "  Downloading sentencepiece-0.1.96-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.2 MB 40.4 MB/s \n",
            "\u001b[?25hCollecting flask-restplus\n",
            "  Downloading flask_restplus-0.13.0-py2.py3-none-any.whl (2.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.5 MB 32.9 MB/s \n",
            "\u001b[?25hCollecting mlflow<=1.13.1\n",
            "  Downloading mlflow-1.13.1-py3-none-any.whl (14.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 14.1 MB 31 kB/s \n",
            "\u001b[?25hRequirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from farm==0.8.0->farm-haystack==0.10.0) (4.62.0)\n",
            "Collecting boto3\n",
            "  Downloading boto3-1.18.43-py3-none-any.whl (131 kB)\n",
            "\u001b[K     |████████████████████████████████| 131 kB 44.1 MB/s \n",
            "\u001b[?25hCollecting dotmap\n",
            "  Downloading dotmap-1.3.24-py3-none-any.whl (11 kB)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from farm==0.8.0->farm-haystack==0.10.0) (2.23.0)\n",
            "Requirement already satisfied: flask in /usr/local/lib/python3.7/dist-packages (from farm==0.8.0->farm-haystack==0.10.0) (1.1.4)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.7/dist-packages (from farm==0.8.0->farm-haystack==0.10.0) (5.4.8)\n",
            "Requirement already satisfied: dill in /usr/local/lib/python3.7/dist-packages (from farm==0.8.0->farm-haystack==0.10.0) (0.3.4)\n",
            "Requirement already satisfied: wheel in /usr/local/lib/python3.7/dist-packages (from farm==0.8.0->farm-haystack==0.10.0) (0.37.0)\n",
            "Requirement already satisfied: scipy>=1.3.2 in /usr/local/lib/python3.7/dist-packages (from farm==0.8.0->farm-haystack==0.10.0) (1.4.1)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from farm==0.8.0->farm-haystack==0.10.0) (57.4.0)\n",
            "Collecting Werkzeug==0.16.1\n",
            "  Downloading Werkzeug-0.16.1-py2.py3-none-any.whl (327 kB)\n",
            "\u001b[K     |████████████████████████████████| 327 kB 43.5 MB/s \n",
            "\u001b[?25hCollecting torch<1.9,>1.5\n",
            "  Downloading torch-1.8.1-cp37-cp37m-manylinux1_x86_64.whl (804.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 804.1 MB 2.9 kB/s \n",
            "\u001b[?25hCollecting flask-cors\n",
            "  Downloading Flask_Cors-3.0.10-py2.py3-none-any.whl (14 kB)\n",
            "Collecting transformers==4.6.1\n",
            "  Downloading transformers-4.6.1-py3-none-any.whl (2.2 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.2 MB 46.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: prometheus-client>=0.7.1 in /usr/local/lib/python3.7/dist-packages (from ray==1.5.0->farm-haystack==0.10.0) (0.11.0)\n",
            "Collecting redis>=3.5.0\n",
            "  Downloading redis-3.5.3-py2.py3-none-any.whl (72 kB)\n",
            "\u001b[K     |████████████████████████████████| 72 kB 473 kB/s \n",
            "\u001b[?25hRequirement already satisfied: jsonschema in /usr/local/lib/python3.7/dist-packages (from ray==1.5.0->farm-haystack==0.10.0) (2.6.0)\n",
            "Requirement already satisfied: grpcio>=1.28.1 in /usr/local/lib/python3.7/dist-packages (from ray==1.5.0->farm-haystack==0.10.0) (1.39.0)\n",
            "Requirement already satisfied: msgpack<2.0.0,>=1.0.0 in /usr/local/lib/python3.7/dist-packages (from ray==1.5.0->farm-haystack==0.10.0) (1.0.2)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.7/dist-packages (from ray==1.5.0->farm-haystack==0.10.0) (3.13)\n",
            "Collecting py-spy>=0.2.0\n",
            "  Downloading py_spy-0.3.9-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (3.2 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.2 MB 35.8 MB/s \n",
            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.7/dist-packages (from ray==1.5.0->farm-haystack==0.10.0) (3.0.12)\n",
            "Collecting aiohttp-cors\n",
            "  Downloading aiohttp_cors-0.7.0-py3-none-any.whl (27 kB)\n",
            "Collecting aioredis\n",
            "  Downloading aioredis-2.0.0-py3-none-any.whl (69 kB)\n",
            "\u001b[K     |████████████████████████████████| 69 kB 6.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: click>=7.0 in /usr/local/lib/python3.7/dist-packages (from ray==1.5.0->farm-haystack==0.10.0) (7.1.2)\n",
            "Collecting opencensus\n",
            "  Downloading opencensus-0.7.13-py2.py3-none-any.whl (127 kB)\n",
            "\u001b[K     |████████████████████████████████| 127 kB 42.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: protobuf>=3.15.3 in /usr/local/lib/python3.7/dist-packages (from ray==1.5.0->farm-haystack==0.10.0) (3.17.3)\n",
            "Requirement already satisfied: numpy>=1.16 in /usr/local/lib/python3.7/dist-packages (from ray==1.5.0->farm-haystack==0.10.0) (1.19.5)\n",
            "Collecting pydantic>=1.8\n",
            "  Downloading pydantic-1.8.2-cp37-cp37m-manylinux2014_x86_64.whl (10.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 10.1 MB 37.1 MB/s \n",
            "\u001b[?25hCollecting aiohttp\n",
            "  Downloading aiohttp-3.7.4.post0-cp37-cp37m-manylinux2014_x86_64.whl (1.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.3 MB 33.4 MB/s \n",
            "\u001b[?25hCollecting colorama\n",
            "  Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB)\n",
            "Collecting gpustat\n",
            "  Downloading gpustat-0.6.0.tar.gz (78 kB)\n",
            "\u001b[K     |████████████████████████████████| 78 kB 6.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from transformers==4.6.1->farm==0.8.0->farm-haystack==0.10.0) (4.6.4)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.7/dist-packages (from transformers==4.6.1->farm==0.8.0->farm-haystack==0.10.0) (21.0)\n",
            "Collecting tokenizers<0.11,>=0.10.1\n",
            "  Downloading tokenizers-0.10.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.3 MB 50.4 MB/s \n",
            "\u001b[?25hCollecting huggingface-hub==0.0.8\n",
            "  Downloading huggingface_hub-0.0.8-py3-none-any.whl (34 kB)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.7/dist-packages (from transformers==4.6.1->farm==0.8.0->farm-haystack==0.10.0) (2019.12.20)\n",
            "Collecting sacremoses\n",
            "  Downloading sacremoses-0.0.45-py3-none-any.whl (895 kB)\n",
            "\u001b[K     |████████████████████████████████| 895 kB 41.5 MB/s \n",
            "\u001b[?25hCollecting validators>=0.18.2\n",
            "  Downloading validators-0.18.2-py3-none-any.whl (19 kB)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from elasticsearch<=7.10,>=7.7->farm-haystack==0.10.0) (2021.5.30)\n",
            "Requirement already satisfied: urllib3<2,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from elasticsearch<=7.10,>=7.7->farm-haystack==0.10.0) (1.24.3)\n",
            "Requirement already satisfied: six>=1.5.2 in /usr/local/lib/python3.7/dist-packages (from grpcio>=1.28.1->ray==1.5.0->farm-haystack==0.10.0) (1.15.0)\n",
            "Collecting azure-storage-blob>=12.0.0\n",
            "  Downloading azure_storage_blob-12.8.1-py2.py3-none-any.whl (345 kB)\n",
            "\u001b[K     |████████████████████████████████| 345 kB 48.4 MB/s \n",
            "\u001b[?25hCollecting querystring-parser\n",
            "  Downloading querystring_parser-1.2.4-py2.py3-none-any.whl (7.9 kB)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/dist-packages (from mlflow<=1.13.1->farm==0.8.0->farm-haystack==0.10.0) (2.8.2)\n",
            "Requirement already satisfied: sqlparse>=0.3.1 in /usr/local/lib/python3.7/dist-packages (from mlflow<=1.13.1->farm==0.8.0->farm-haystack==0.10.0) (0.4.1)\n",
            "Collecting prometheus-flask-exporter\n",
            "  Downloading prometheus_flask_exporter-0.18.2.tar.gz (22 kB)\n",
            "Collecting gitpython>=2.1.0\n",
            "  Downloading GitPython-3.1.18-py3-none-any.whl (170 kB)\n",
            "\u001b[K     |████████████████████████████████| 170 kB 46.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: cloudpickle in /usr/local/lib/python3.7/dist-packages (from mlflow<=1.13.1->farm==0.8.0->farm-haystack==0.10.0) (1.3.0)\n",
            "Collecting databricks-cli>=0.8.7\n",
            "  Downloading databricks-cli-0.15.0.tar.gz (56 kB)\n",
            "\u001b[K     |████████████████████████████████| 56 kB 4.5 MB/s \n",
            "\u001b[?25hCollecting docker>=4.0.0\n",
            "  Downloading docker-5.0.2-py2.py3-none-any.whl (145 kB)\n",
            "\u001b[K     |████████████████████████████████| 145 kB 47.9 MB/s \n",
            "\u001b[?25hRequirement already satisfied: entrypoints in /usr/local/lib/python3.7/dist-packages (from mlflow<=1.13.1->farm==0.8.0->farm-haystack==0.10.0) (0.3)\n",
            "Collecting alembic<=1.4.1\n",
            "  Downloading alembic-1.4.1.tar.gz (1.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.1 MB 39.5 MB/s \n",
            "\u001b[?25hCollecting Mako\n",
            "  Downloading Mako-1.1.5-py2.py3-none-any.whl (75 kB)\n",
            "\u001b[K     |████████████████████████████████| 75 kB 3.9 MB/s \n",
            "\u001b[?25hCollecting python-editor>=0.3\n",
            "  Downloading python_editor-1.0.4-py3-none-any.whl (4.9 kB)\n",
            "Collecting msrest>=0.6.18\n",
            "  Downloading msrest-0.6.21-py2.py3-none-any.whl (85 kB)\n",
            "\u001b[K     |████████████████████████████████| 85 kB 3.8 MB/s \n",
            "\u001b[?25hCollecting azure-core<2.0.0,>=1.10.0\n",
            "  Downloading azure_core-1.18.0-py2.py3-none-any.whl (166 kB)\n",
            "\u001b[K     |████████████████████████████████| 166 kB 35.4 MB/s \n",
            "\u001b[?25hCollecting cryptography>=2.1.4\n",
            "  Downloading cryptography-3.4.8-cp36-abi3-manylinux_2_24_x86_64.whl (3.0 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.0 MB 36.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: cffi>=1.12 in /usr/local/lib/python3.7/dist-packages (from cryptography>=2.1.4->azure-storage-blob>=12.0.0->mlflow<=1.13.1->farm==0.8.0->farm-haystack==0.10.0) (1.14.6)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.7/dist-packages (from cffi>=1.12->cryptography>=2.1.4->azure-storage-blob>=12.0.0->mlflow<=1.13.1->farm==0.8.0->farm-haystack==0.10.0) (2.20)\n",
            "Requirement already satisfied: tabulate>=0.7.7 in /usr/local/lib/python3.7/dist-packages (from databricks-cli>=0.8.7->mlflow<=1.13.1->farm==0.8.0->farm-haystack==0.10.0) (0.8.9)\n",
            "Collecting websocket-client>=0.32.0\n",
            "  Downloading websocket_client-1.2.1-py2.py3-none-any.whl (52 kB)\n",
            "\u001b[K     |████████████████████████████████| 52 kB 1.4 MB/s \n",
            "\u001b[?25hCollecting gitdb<5,>=4.0.1\n",
            "  Downloading gitdb-4.0.7-py3-none-any.whl (63 kB)\n",
            "\u001b[K     |████████████████████████████████| 63 kB 1.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: typing-extensions>=3.7.4.0 in /usr/local/lib/python3.7/dist-packages (from gitpython>=2.1.0->mlflow<=1.13.1->farm==0.8.0->farm-haystack==0.10.0) (3.7.4.3)\n",
            "Collecting smmap<5,>=3.0.1\n",
            "  Downloading smmap-4.0.0-py2.py3-none-any.whl (24 kB)\n",
            "Requirement already satisfied: requests-oauthlib>=0.5.0 in /usr/local/lib/python3.7/dist-packages (from msrest>=0.6.18->azure-storage-blob>=12.0.0->mlflow<=1.13.1->farm==0.8.0->farm-haystack==0.10.0) (1.3.0)\n",
            "Collecting isodate>=0.6.0\n",
            "  Downloading isodate-0.6.0-py2.py3-none-any.whl (45 kB)\n",
            "\u001b[K     |████████████████████████████████| 45 kB 3.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->farm==0.8.0->farm-haystack==0.10.0) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->farm==0.8.0->farm-haystack==0.10.0) (3.0.4)\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.5.0->msrest>=0.6.18->azure-storage-blob>=12.0.0->mlflow<=1.13.1->farm==0.8.0->farm-haystack==0.10.0) (3.1.1)\n",
            "Requirement already satisfied: torchvision in /usr/local/lib/python3.7/dist-packages (from sentence-transformers>=0.4.0->farm-haystack==0.10.0) (0.10.0+cu102)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.7/dist-packages (from sentence-transformers>=0.4.0->farm-haystack==0.10.0) (0.22.2.post1)\n",
            "Requirement already satisfied: greenlet!=0.4.17 in /usr/local/lib/python3.7/dist-packages (from sqlalchemy>=1.4.2->farm-haystack==0.10.0) (1.1.1)\n",
            "Requirement already satisfied: decorator>=3.4.0 in /usr/local/lib/python3.7/dist-packages (from validators>=0.18.2->weaviate-client==2.5.0->farm-haystack==0.10.0) (4.4.2)\n",
            "Collecting async-timeout<4.0,>=3.0\n",
            "  Downloading async_timeout-3.0.1-py3-none-any.whl (8.2 kB)\n",
            "Collecting multidict<7.0,>=4.5\n",
            "  Downloading multidict-5.1.0-cp37-cp37m-manylinux2014_x86_64.whl (142 kB)\n",
            "\u001b[K     |████████████████████████████████| 142 kB 41.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->ray==1.5.0->farm-haystack==0.10.0) (21.2.0)\n",
            "Collecting yarl<2.0,>=1.0\n",
            "  Downloading yarl-1.6.3-cp37-cp37m-manylinux2014_x86_64.whl (294 kB)\n",
            "\u001b[K     |████████████████████████████████| 294 kB 48.5 MB/s \n",
            "\u001b[?25hCollecting botocore<1.22.0,>=1.21.43\n",
            "  Downloading botocore-1.21.43-py3-none-any.whl (7.9 MB)\n",
            "\u001b[K     |████████████████████████████████| 7.9 MB 36.6 MB/s \n",
            "\u001b[?25hCollecting s3transfer<0.6.0,>=0.5.0\n",
            "  Downloading s3transfer-0.5.0-py3-none-any.whl (79 kB)\n",
            "\u001b[K     |████████████████████████████████| 79 kB 7.0 MB/s \n",
            "\u001b[?25hCollecting jmespath<1.0.0,>=0.7.1\n",
            "  Downloading jmespath-0.10.0-py2.py3-none-any.whl (24 kB)\n",
            "Collecting urllib3<2,>=1.21.1\n",
            "  Downloading urllib3-1.25.11-py2.py3-none-any.whl (127 kB)\n",
            "\u001b[K     |████████████████████████████████| 127 kB 48.3 MB/s \n",
            "\u001b[?25hCollecting starlette==0.14.2\n",
            "  Downloading starlette-0.14.2-py3-none-any.whl (60 kB)\n",
            "\u001b[K     |████████████████████████████████| 60 kB 7.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: itsdangerous<2.0,>=0.24 in /usr/local/lib/python3.7/dist-packages (from flask->farm==0.8.0->farm-haystack==0.10.0) (1.1.0)\n",
            "Requirement already satisfied: Jinja2<3.0,>=2.10.1 in /usr/local/lib/python3.7/dist-packages (from flask->farm==0.8.0->farm-haystack==0.10.0) (2.11.3)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from Jinja2<3.0,>=2.10.1->flask->farm==0.8.0->farm-haystack==0.10.0) (2.0.1)\n",
            "Collecting aniso8601>=0.82\n",
            "  Downloading aniso8601-9.0.1-py2.py3-none-any.whl (52 kB)\n",
            "\u001b[K     |████████████████████████████████| 52 kB 1.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pytz in /usr/local/lib/python3.7/dist-packages (from flask-restplus->farm==0.8.0->farm-haystack==0.10.0) (2018.9)\n",
            "Requirement already satisfied: nvidia-ml-py3>=7.352.0 in /usr/local/lib/python3.7/dist-packages (from gpustat->ray==1.5.0->farm-haystack==0.10.0) (7.352.0)\n",
            "Collecting blessings>=1.6\n",
            "  Downloading blessings-1.7-py3-none-any.whl (18 kB)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->transformers==4.6.1->farm==0.8.0->farm-haystack==0.10.0) (3.5.0)\n",
            "Requirement already satisfied: google-api-core<2.0.0,>=1.0.0 in /usr/local/lib/python3.7/dist-packages (from opencensus->ray==1.5.0->farm-haystack==0.10.0) (1.26.3)\n",
            "Collecting opencensus-context==0.1.2\n",
            "  Downloading opencensus_context-0.1.2-py2.py3-none-any.whl (4.4 kB)\n",
            "Requirement already satisfied: googleapis-common-protos<2.0dev,>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from google-api-core<2.0.0,>=1.0.0->opencensus->ray==1.5.0->farm-haystack==0.10.0) (1.53.0)\n",
            "Requirement already satisfied: google-auth<2.0dev,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from google-api-core<2.0.0,>=1.0.0->opencensus->ray==1.5.0->farm-haystack==0.10.0) (1.34.0)\n",
            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2.0dev,>=1.21.1->google-api-core<2.0.0,>=1.0.0->opencensus->ray==1.5.0->farm-haystack==0.10.0) (0.2.8)\n",
            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2.0dev,>=1.21.1->google-api-core<2.0.0,>=1.0.0->opencensus->ray==1.5.0->farm-haystack==0.10.0) (4.2.2)\n",
            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.7/dist-packages (from google-auth<2.0dev,>=1.21.1->google-api-core<2.0.0,>=1.0.0->opencensus->ray==1.5.0->farm-haystack==0.10.0) (4.7.2)\n",
            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging->transformers==4.6.1->farm==0.8.0->farm-haystack==0.10.0) (2.4.7)\n",
            "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2.0dev,>=1.21.1->google-api-core<2.0.0,>=1.0.0->opencensus->ray==1.5.0->farm-haystack==0.10.0) (0.4.8)\n",
            "Collecting ujson>=2.0.0\n",
            "  Downloading ujson-4.1.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (178 kB)\n",
            "\u001b[K     |████████████████████████████████| 178 kB 50.8 MB/s \n",
            "\u001b[?25hCollecting grpcio>=1.28.1\n",
            "  Downloading grpcio-1.37.1-cp37-cp37m-manylinux2014_x86_64.whl (4.2 MB)\n",
            "\u001b[K     |████████████████████████████████| 4.2 MB 32.7 MB/s \n",
            "\u001b[?25hCollecting grpcio-tools<1.38.0,>=1.22.0\n",
            "  Downloading grpcio_tools-1.37.1-cp37-cp37m-manylinux2014_x86_64.whl (2.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.5 MB 34.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: lxml>=2.3.2 in /usr/local/lib/python3.7/dist-packages (from python-docx->farm-haystack==0.10.0) (4.2.6)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers==4.6.1->farm==0.8.0->farm-haystack==0.10.0) (1.0.1)\n",
            "Collecting rdflib>=4.0\n",
            "  Downloading rdflib-6.0.1-py3-none-any.whl (379 kB)\n",
            "\u001b[K     |████████████████████████████████| 379 kB 44.4 MB/s \n",
            "\u001b[?25hCollecting torchvision\n",
            "  Downloading torchvision-0.10.0-cp37-cp37m-manylinux1_x86_64.whl (22.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 22.1 MB 1.4 MB/s \n",
            "\u001b[?25h  Downloading torchvision-0.9.1-cp37-cp37m-manylinux1_x86_64.whl (17.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 17.4 MB 84 kB/s \n",
            "\u001b[?25hRequirement already satisfied: py>=1.4.17 in /usr/local/lib/python3.7/dist-packages (from tox->farm-haystack==0.10.0) (1.10.0)\n",
            "Collecting virtualenv!=20.0.0,!=20.0.1,!=20.0.2,!=20.0.3,!=20.0.4,!=20.0.5,!=20.0.6,!=20.0.7,>=16.0.0\n",
            "  Downloading virtualenv-20.8.0-py2.py3-none-any.whl (5.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 5.3 MB 19.5 MB/s \n",
            "\u001b[?25hCollecting pluggy>=0.12.0\n",
            "  Downloading pluggy-1.0.0-py2.py3-none-any.whl (13 kB)\n",
            "Requirement already satisfied: toml>=0.9.4 in /usr/local/lib/python3.7/dist-packages (from tox->farm-haystack==0.10.0) (0.10.2)\n",
            "Collecting distlib<1,>=0.3.1\n",
            "  Downloading distlib-0.3.2-py2.py3-none-any.whl (338 kB)\n",
            "\u001b[K     |████████████████████████████████| 338 kB 36.5 MB/s \n",
            "\u001b[?25hCollecting backports.entry-points-selectable>=1.0.4\n",
            "  Downloading backports.entry_points_selectable-1.1.0-py2.py3-none-any.whl (6.2 kB)\n",
            "Collecting platformdirs<3,>=2\n",
            "  Downloading platformdirs-2.3.0-py3-none-any.whl (13 kB)\n",
            "Collecting h11>=0.8\n",
            "  Downloading h11-0.12.0-py3-none-any.whl (54 kB)\n",
            "\u001b[K     |████████████████████████████████| 54 kB 3.2 MB/s \n",
            "\u001b[?25hCollecting asgiref>=3.4.0\n",
            "  Downloading asgiref-3.4.1-py3-none-any.whl (25 kB)\n",
            "Building wheels for collected packages: pytesseract, alembic, databricks-cli, sentence-transformers, gpustat, langdetect, prometheus-flask-exporter, python-docx, python-multipart, seqeval, tika\n",
            "  Building wheel for pytesseract (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pytesseract: filename=pytesseract-0.3.7-py2.py3-none-any.whl size=13954 sha256=39ac05ab60f10a4e0e0d6c1fda92ba4aebe574567d2196db9083660f8075635c\n",
            "  Stored in directory: /root/.cache/pip/wheels/67/71/6c/7a8c5ca2e699752506999ae7baeb692e2b4fc6488c2cddcb22\n",
            "  Building wheel for alembic (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for alembic: filename=alembic-1.4.1-py2.py3-none-any.whl size=158172 sha256=24fb7b5b69ceb947a91fd50f4ddc81fa7ed7a5ecbaceaae54f1403daa7f28076\n",
            "  Stored in directory: /root/.cache/pip/wheels/be/5d/0a/9e13f53f4f5dfb67cd8d245bb7cdffe12f135846f491a283e3\n",
            "  Building wheel for databricks-cli (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for databricks-cli: filename=databricks_cli-0.15.0-py3-none-any.whl size=105260 sha256=22153e1effd17f349474b90c4167365e1aa7bb7748b2b3d0a2f71dcf8a6bdb1d\n",
            "  Stored in directory: /root/.cache/pip/wheels/e7/ba/75/284f9a90ff7a010bb23b9798f2e9a19dd9fe619379c917bff4\n",
            "  Building wheel for sentence-transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for sentence-transformers: filename=sentence_transformers-2.0.0-py3-none-any.whl size=126710 sha256=0e287658367d69a616f93c90fb822655568e40e2536c774893885cd3f099ada6\n",
            "  Stored in directory: /root/.cache/pip/wheels/d1/c1/0f/faafd427f705c4b012274ba60d9a91d75830306811e1355293\n",
            "  Building wheel for gpustat (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gpustat: filename=gpustat-0.6.0-py3-none-any.whl size=12617 sha256=593d17e393d6d44d2f7b17d142a7dbe9481c9343ab014732c7c676bbda20ea9f\n",
            "  Stored in directory: /root/.cache/pip/wheels/e6/67/af/f1ad15974b8fd95f59a63dbf854483ebe5c7a46a93930798b8\n",
            "  Building wheel for langdetect (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for langdetect: filename=langdetect-1.0.9-py3-none-any.whl size=993242 sha256=3deb798195e9aa399df9fd12379813d57869c6628db10eb0ef4b25c242ff1eb4\n",
            "  Stored in directory: /root/.cache/pip/wheels/c5/96/8a/f90c59ed25d75e50a8c10a1b1c2d4c402e4dacfa87f3aff36a\n",
            "  Building wheel for prometheus-flask-exporter (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for prometheus-flask-exporter: filename=prometheus_flask_exporter-0.18.2-py3-none-any.whl size=17415 sha256=f46aef2fa2b93bf8a65b264a3a6163e2975ed61e262f8ab581f9571b2b11c95a\n",
            "  Stored in directory: /root/.cache/pip/wheels/6a/1e/1c/c765920cb92b2f0343d2dd8b481a407cee2823f9b4bbd2e52a\n",
            "  Building wheel for python-docx (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for python-docx: filename=python_docx-0.8.11-py3-none-any.whl size=184508 sha256=1e7647ebfd523a221629914894804e3eb2aa6b1a73cdc5d5dc5addaacdbc4caf\n",
            "  Stored in directory: /root/.cache/pip/wheels/f6/6f/b9/d798122a8b55b74ad30b5f52b01482169b445fbb84a11797a6\n",
            "  Building wheel for python-multipart (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for python-multipart: filename=python_multipart-0.0.5-py3-none-any.whl size=31678 sha256=cce1cf853b412161878bc20793930c20fd850395c39db449fe61bcb464e859ff\n",
            "  Stored in directory: /root/.cache/pip/wheels/2c/41/7c/bfd1c180534ffdcc0972f78c5758f89881602175d48a8bcd2c\n",
            "  Building wheel for seqeval (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for seqeval: filename=seqeval-1.2.2-py3-none-any.whl size=16181 sha256=08099f4170966b2e12f4e38bb4dc4b4027a5d9a1ad1ffff43113b072d8c31f2b\n",
            "  Stored in directory: /root/.cache/pip/wheels/05/96/ee/7cac4e74f3b19e3158dce26a20a1c86b3533c43ec72a549fd7\n",
            "  Building wheel for tika (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for tika: filename=tika-1.24-py3-none-any.whl size=32891 sha256=3e45c53c8f21443d7ca1032c7a9678f1faa4b786a30d71c5ef89a032a099f001\n",
            "  Stored in directory: /root/.cache/pip/wheels/ec/2b/38/58ff05467a742e32f67f5d0de048fa046e764e2fbb25ac93f3\n",
            "Successfully built pytesseract alembic databricks-cli sentence-transformers gpustat langdetect prometheus-flask-exporter python-docx python-multipart seqeval tika\n",
            "Installing collected packages: urllib3, Werkzeug, smmap, multidict, jmespath, isodate, yarl, websocket-client, python-editor, msrest, Mako, gitdb, cryptography, botocore, azure-core, async-timeout, torch, tokenizers, sacremoses, s3transfer, querystring-parser, prometheus-flask-exporter, platformdirs, pillow, opencensus-context, huggingface-hub, gunicorn, grpcio, gitpython, docker, distlib, databricks-cli, blessings, backports.entry-points-selectable, azure-storage-blob, aniso8601, alembic, aiohttp, virtualenv, validators, ujson, transformers, torchvision, starlette, seqeval, sentencepiece, redis, rdflib, pydantic, py-spy, pluggy, opencensus, mlflow, h11, grpcio-tools, gpustat, flask-restplus, flask-cors, dotmap, colorama, boto3, asgiref, aioredis, aiohttp-cors, weaviate-client, uvloop, uvicorn, tox, tika, sqlalchemy-utils, SPARQLWrapper, sentence-transformers, ray, python-multipart, python-docx, pytesseract, pymilvus, psycopg2-binary, pdf2image, mmh3, langdetect, httptools, fastapi, farm, faiss-cpu, elasticsearch, elastic-apm, farm-haystack\n",
            "  Attempting uninstall: urllib3\n",
            "    Found existing installation: urllib3 1.24.3\n",
            "    Uninstalling urllib3-1.24.3:\n",
            "      Successfully uninstalled urllib3-1.24.3\n",
            "  Attempting uninstall: Werkzeug\n",
            "    Found existing installation: Werkzeug 1.0.1\n",
            "    Uninstalling Werkzeug-1.0.1:\n",
            "      Successfully uninstalled Werkzeug-1.0.1\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 1.9.0+cu102\n",
            "    Uninstalling torch-1.9.0+cu102:\n",
            "      Successfully uninstalled torch-1.9.0+cu102\n",
            "  Attempting uninstall: pillow\n",
            "    Found existing installation: Pillow 7.1.2\n",
            "    Uninstalling Pillow-7.1.2:\n",
            "      Successfully uninstalled Pillow-7.1.2\n",
            "  Attempting uninstall: grpcio\n",
            "    Found existing installation: grpcio 1.39.0\n",
            "    Uninstalling grpcio-1.39.0:\n",
            "      Successfully uninstalled grpcio-1.39.0\n",
            "  Attempting uninstall: torchvision\n",
            "    Found existing installation: torchvision 0.10.0+cu102\n",
            "    Uninstalling torchvision-0.10.0+cu102:\n",
            "      Successfully uninstalled torchvision-0.10.0+cu102\n",
            "  Attempting uninstall: pluggy\n",
            "    Found existing installation: pluggy 0.7.1\n",
            "    Uninstalling pluggy-0.7.1:\n",
            "      Successfully uninstalled pluggy-0.7.1\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "torchtext 0.10.0 requires torch==1.9.0, but you have torch 1.8.1 which is incompatible.\n",
            "pytest 3.6.4 requires pluggy<0.8,>=0.5, but you have pluggy 1.0.0 which is incompatible.\n",
            "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\n",
            "albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\u001b[0m\n",
            "Successfully installed Mako-1.1.5 SPARQLWrapper-1.8.5 Werkzeug-0.16.1 aiohttp-3.7.4.post0 aiohttp-cors-0.7.0 aioredis-2.0.0 alembic-1.4.1 aniso8601-9.0.1 asgiref-3.4.1 async-timeout-3.0.1 azure-core-1.18.0 azure-storage-blob-12.8.1 backports.entry-points-selectable-1.1.0 blessings-1.7 boto3-1.18.43 botocore-1.21.43 colorama-0.4.4 cryptography-3.4.8 databricks-cli-0.15.0 distlib-0.3.2 docker-5.0.2 dotmap-1.3.24 elastic-apm-6.4.0 elasticsearch-7.10.0 faiss-cpu-1.7.1.post2 farm-0.8.0 farm-haystack-0.10.0 fastapi-0.68.1 flask-cors-3.0.10 flask-restplus-0.13.0 gitdb-4.0.7 gitpython-3.1.18 gpustat-0.6.0 grpcio-1.37.1 grpcio-tools-1.37.1 gunicorn-20.1.0 h11-0.12.0 httptools-0.3.0 huggingface-hub-0.0.8 isodate-0.6.0 jmespath-0.10.0 langdetect-1.0.9 mlflow-1.13.1 mmh3-3.0.0 msrest-0.6.21 multidict-5.1.0 opencensus-0.7.13 opencensus-context-0.1.2 pdf2image-1.14.0 pillow-8.3.2 platformdirs-2.3.0 pluggy-1.0.0 prometheus-flask-exporter-0.18.2 psycopg2-binary-2.9.1 py-spy-0.3.9 pydantic-1.8.2 pymilvus-1.1.2 pytesseract-0.3.7 python-docx-0.8.11 python-editor-1.0.4 python-multipart-0.0.5 querystring-parser-1.2.4 ray-1.5.0 rdflib-6.0.1 redis-3.5.3 s3transfer-0.5.0 sacremoses-0.0.45 sentence-transformers-2.0.0 sentencepiece-0.1.96 seqeval-1.2.2 smmap-4.0.0 sqlalchemy-utils-0.37.8 starlette-0.14.2 tika-1.24 tokenizers-0.10.3 torch-1.8.1 torchvision-0.9.1 tox-3.24.4 transformers-4.6.1 ujson-4.1.0 urllib3-1.25.11 uvicorn-0.15.0 uvloop-0.14.0 validators-0.18.2 virtualenv-20.8.0 weaviate-client-2.5.0 websocket-client-1.2.1 yarl-1.6.3\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting anvil-uplink\n",
            "  Downloading anvil_uplink-0.3.40-py2.py3-none-any.whl (62 kB)\n",
            "\u001b[?25l\r\u001b[K     |█████▏                          | 10 kB 27.3 MB/s eta 0:00:01\r\u001b[K     |██████████▍                     | 20 kB 28.5 MB/s eta 0:00:01\r\u001b[K     |███████████████▋                | 30 kB 11.6 MB/s eta 0:00:01\r\u001b[K     |████████████████████▉           | 40 kB 9.5 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████      | 51 kB 5.3 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▎| 61 kB 5.8 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 62 kB 1.1 MB/s \n",
            "\u001b[?25hCollecting argparse\n",
            "  Downloading argparse-1.4.0-py2.py3-none-any.whl (23 kB)\n",
            "Collecting ws4py\n",
            "  Downloading ws4py-0.5.1.tar.gz (51 kB)\n",
            "\u001b[K     |████████████████████████████████| 51 kB 182 kB/s \n",
            "\u001b[?25hRequirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from anvil-uplink) (1.15.0)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.7/dist-packages (from anvil-uplink) (0.16.0)\n",
            "Building wheels for collected packages: ws4py\n",
            "  Building wheel for ws4py (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ws4py: filename=ws4py-0.5.1-py3-none-any.whl size=45230 sha256=55ef3582f9e1b133e8a4a4494714c9a72957d779d39ce450649c178e635f0450\n",
            "  Stored in directory: /root/.cache/pip/wheels/29/ea/7d/3410aa0aa0e4402ead9a7a97ab2214804887e0f5c2b76f0c96\n",
            "Successfully built ws4py\n",
            "Installing collected packages: ws4py, argparse, anvil-uplink\n",
            "Successfully installed anvil-uplink-0.3.40 argparse-1.4.0 ws4py-0.5.1\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "argparse",
                  "google"
                ]
              }
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lQHzKSoyKE4m"
      },
      "source": [
        "These are necessary import-statements for the Pipeline"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OIlBmHKfiRTw",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fe562851-4ed2-4053-a6b3-4b84f686b691"
      },
      "source": [
        "import importlib\n",
        "import pkg_resources\n",
        "importlib.reload(pkg_resources)\n",
        "import haystack\n",
        "from haystack.reader.farm import FARMReader\n",
        "from haystack.utils import print_answers\n",
        "from haystack.retriever.sparse import ElasticsearchRetriever\n",
        "import anvil.server"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ray/autoscaler/_private/cli_logger.py:61: FutureWarning: Not all Ray CLI dependencies were found. In Ray 1.4+, the Ray CLI, autoscaler, and dashboard will only be usable via `pip install 'ray[default]'`. Please update your install command.\n",
            "  \"update your install command.\", FutureWarning)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6hQdLAHkcK_L"
      },
      "source": [
        "#Mount to GoogleDrive\n",
        " \n",
        "We use google drive to mount our fine-tuning data file. \n",
        " \n",
        "The folder structure is as following:\n",
        " \n",
        "  Colab Notebooks -> Crypto-Answer-main -> data -> squad20 -> training_data.json\n",
        " \n",
        " \n",
        "---\n",
        " \n",
        "To be able to use files from Google drive do the following steps:\n",
        " \n",
        " \n",
        " \n",
        "1.   run this cell and click on the returned link\n",
        "2.   select the google-account with which this notebook is connected\n",
        "3.   click on log in\n",
        "4.   copy the key\n",
        "5.   enter the copied key into the displayed input field"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "85ym-7w_YKMS",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8abff94b-5698-49be-87b2-eff07494aff6"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "63DYMtV3sotn"
      },
      "source": [
        "#Architecture"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kt8_7G-KMxPO"
      },
      "source": [
        "##Reader and Fine Tuning"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FhWp9enEHETo"
      },
      "source": [
        "We used the pre-trained roberta-base-squad2 model from Huggingface as our base reader [4].\n",
        "\n",
        "To fine-tune our reader we used Haystack's provided Annotation Tool [5], to train the reader on our own Question-Answer pairs, which are stored in the file \"training_data_fine_tuning.json\". \n",
        "\n",
        "-> Move your Folder Crypto-Answer-main either to the correct directory (Google Drive -> Colab Notebooks), or change data_dir to the location it is stored.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VbH6OSjj9M8O",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "0235e79c9fc4485e8b5b2f41476481c0",
            "041a85a598d94978aa08e32f7b913a55",
            "09a7e76d56864760b06d70793dc8dcf3",
            "72f7feac9b9a48f1bcfb29b326b93acc",
            "583b6204bb144813b50772b8e5f5186f",
            "ba92bc9417b64f0b811e54fd99b39013",
            "6c53c9db5a924c73a021853b4843a9fa",
            "61b8cfcea0744303b814800951bc09d5",
            "a268f9fe4cc348baa2f71b8ccc76f4d8",
            "620ef60ee58b4a8a8b2e3218c653d359",
            "c56ac358565a47de9f5a129e06b04251",
            "163443f201e74712800cc8a736fc770c",
            "54b0ecfa14ed472db68b317850b8ad7f",
            "ef8e2cdbaf754e51a0ba9e3f4abc2e97",
            "b53e678016f0443e864cf8fa4ec00132",
            "245d0d5da2dd4e24b41a2caf7f00ec38",
            "d1778898d9684cac898a25d073b02a7d",
            "37bbcdd03f704ba58cc642e3ac0a3040",
            "df89b12d3e39487a9adbfc44a8366716",
            "3f87f61e74b24f2c9e195f858e14fabe",
            "2be2ce26a7004dd6a0dba64e31cde73a",
            "7c081f9bffbf4dfc80bb8fb457851715",
            "ec5a6b66faf54a9092a04ae7ae1af0ea",
            "684cd086d4ed447abd19d87dd099812d",
            "ac98222709eb45a9a0275fa928ce14e7",
            "55953aaa21de4ad193868b4bf37deaaf",
            "5242b203de1745e1a2ac0a6ad1f5222f",
            "8034d9b864d544fdb8f8d597d4d6e5ca",
            "b666b3bfc5494bf29f41674867222758",
            "02c701760249416f8484e128fd4b366b",
            "11e659f842c840feaa0b127aa57ef080",
            "19c689df155b4165a5c194baa0057011",
            "59be427d24a94740923eda41f5dc7575",
            "5838febd43524d6e8427e4f21a1fc1cd",
            "1fc2cccdad0741db87ae7591af401664",
            "2a626fd3c4594eb28edea3b09b1a9bc8",
            "f9ce0c5e01ff4987aa2e24ddaa81895c",
            "29236b49ece54c0a9e39f9aa327684b2",
            "ee9042bfbc094a0a8fb2082b3399853a",
            "b19aa9ec49ef44f8a7125660d74f477b",
            "49e899b9d1694cea9a19dbe57ad6d8e3",
            "30c68ac835ad452aaed8bd8f086e3365",
            "877c74bc240a47739bb04f656dd14aba",
            "67cf38d2690a4e6bad70a39793b16255",
            "3b9e86326c10408f96b5495140b0b353",
            "bc7222cb9cd54376a42ffd19863f5467",
            "fdd966e448d54f7a83d32f610105c6c4",
            "c21d4c9f1c594285a276f21dc094e7d3",
            "2ddb9e1e324d440ca5827bdb4ced7792",
            "1bbf9c26eeda4383814dcbb49e2f25ac",
            "2a36fa726b874cae9d180e240695f629",
            "f44d53d89e024af6aad36d953e309086",
            "4c1678b0ab02408bb0d2d3898751b6bd",
            "aeab05255d8f4f209f2febb279fc1702",
            "857e10f4566847c2ab99de5791e15667",
            "fc852227dcec45dab418f6f84274986a",
            "79100f6ea81e4ca680e6b71b1f209d42",
            "65d434706c0b4642bd6e842e9d8d1713",
            "d54c02c438de48b49b6ee5befbea3466",
            "0d0a8ec1e24b4a6dbe53b3825fb63384",
            "58100419553349bd8198caedf7a9b78e",
            "6e5a99b96e1c4a8bbba5d3b7b773ad8d",
            "32a41d5e86514722844bfaba07acf15c",
            "f4067ef1e383443fb8cb0e1356d7c7a7",
            "b303cebd44e445b6a6ac2b3c2ffc13da",
            "fe630e6f1e434ac4b7d73e6f05362dbb"
          ]
        },
        "outputId": "48061961-a4d6-4436-fb89-658e50e0ccc5"
      },
      "source": [
        "#reader based on the pre-trained roberta-base-squad2 model from Huggingface\n",
        "reader = FARMReader(model_name_or_path=\"deepset/roberta-base-squad2\", use_gpu=True)\n",
        "\n",
        "#directory for training_data_fine_tuning.json\n",
        "data_dir = \"/content/drive/MyDrive/Colab Notebooks/Crypto-Answer-main/data/squad20/\"\n",
        "\n",
        "#fine-tune the reader on our training_data_fine_tuning.json data from Haystack's Annotation Tool\n",
        "reader.train(data_dir=data_dir, train_filename=\"training_data_fine_tuning.json\", use_gpu=True, n_epochs=1, save_dir=\"my_model\")"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 12:46:15 - INFO - farm.utils -   Using device: CUDA \n",
            "09/17/2021 12:46:15 - INFO - farm.utils -   Number of GPUs: 1\n",
            "09/17/2021 12:46:15 - INFO - farm.utils -   Distributed Training: False\n",
            "09/17/2021 12:46:15 - INFO - farm.utils -   Automatic Mixed Precision: None\n",
            "09/17/2021 12:46:16 - INFO - filelock -   Lock 140417621658448 acquired on /root/.cache/huggingface/transformers/c40d0abb589629c48763f271020d0b1f602f5208c432c0874d420491ed37e28b.122ed338b3591c07dba452777c59ff52330edb340d3d56d67aa9117ad9905673.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "0235e79c9fc4485e8b5b2f41476481c0",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/571 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 12:46:16 - INFO - filelock -   Lock 140417621658448 released on /root/.cache/huggingface/transformers/c40d0abb589629c48763f271020d0b1f602f5208c432c0874d420491ed37e28b.122ed338b3591c07dba452777c59ff52330edb340d3d56d67aa9117ad9905673.lock\n",
            "09/17/2021 12:46:16 - INFO - filelock -   Lock 140417621736272 acquired on /root/.cache/huggingface/transformers/eac3273a8097dda671e3bea1db32c616e74f36a306c65b4858171c98d6db83e9.084aa7284f3a51fa1c8f0641aa04c47d366fbd18711f29d0a995693cfdbc9c9e.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "163443f201e74712800cc8a736fc770c",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/496M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 12:46:34 - INFO - filelock -   Lock 140417621736272 released on /root/.cache/huggingface/transformers/eac3273a8097dda671e3bea1db32c616e74f36a306c65b4858171c98d6db83e9.084aa7284f3a51fa1c8f0641aa04c47d366fbd18711f29d0a995693cfdbc9c9e.lock\n",
            "Some weights of the model checkpoint at deepset/roberta-base-squad2 were not used when initializing RobertaModel: ['qa_outputs.weight', 'qa_outputs.bias']\n",
            "- This IS expected if you are initializing RobertaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
            "- This IS NOT expected if you are initializing RobertaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
            "Some weights of RobertaModel were not initialized from the model checkpoint at deepset/roberta-base-squad2 and are newly initialized: ['roberta.pooler.dense.bias', 'roberta.pooler.dense.weight']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
            "09/17/2021 12:46:41 - INFO - filelock -   Lock 140417583400592 acquired on /root/.cache/huggingface/transformers/81c80edb4c6cefa5cae64ccfdb34b3b309ecaf60da99da7cd1c17e24a5d36eb5.647b4548b6d9ea817e82e7a9231a320231a1c9ea24053cc9e758f3fe68216f05.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ec5a6b66faf54a9092a04ae7ae1af0ea",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/899k [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 12:46:41 - INFO - filelock -   Lock 140417583400592 released on /root/.cache/huggingface/transformers/81c80edb4c6cefa5cae64ccfdb34b3b309ecaf60da99da7cd1c17e24a5d36eb5.647b4548b6d9ea817e82e7a9231a320231a1c9ea24053cc9e758f3fe68216f05.lock\n",
            "09/17/2021 12:46:42 - INFO - filelock -   Lock 140417583541200 acquired on /root/.cache/huggingface/transformers/b87d46371731376b11768b7839b1a5938a4f77d6bd2d9b683f167df0026af432.5d12962c5ee615a4c803841266e9c3be9a691a924f72d395d3a6c6c81157788b.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "5838febd43524d6e8427e4f21a1fc1cd",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/456k [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 12:46:42 - INFO - filelock -   Lock 140417583541200 released on /root/.cache/huggingface/transformers/b87d46371731376b11768b7839b1a5938a4f77d6bd2d9b683f167df0026af432.5d12962c5ee615a4c803841266e9c3be9a691a924f72d395d3a6c6c81157788b.lock\n",
            "09/17/2021 12:46:42 - INFO - filelock -   Lock 140417573259088 acquired on /root/.cache/huggingface/transformers/c9d2c178fac8d40234baa1833a3b1903d393729bf93ea34da247c07db24900d0.cb2244924ab24d706b02fd7fcedaea4531566537687a539ebb94db511fd122a0.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "3b9e86326c10408f96b5495140b0b353",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/772 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 12:46:42 - INFO - filelock -   Lock 140417573259088 released on /root/.cache/huggingface/transformers/c9d2c178fac8d40234baa1833a3b1903d393729bf93ea34da247c07db24900d0.cb2244924ab24d706b02fd7fcedaea4531566537687a539ebb94db511fd122a0.lock\n",
            "09/17/2021 12:46:43 - INFO - filelock -   Lock 140417573228688 acquired on /root/.cache/huggingface/transformers/e8a600814b69e3ee74bb4a7398cc6fef9812475010f16a6c9f151b2c2772b089.451739a2f3b82c3375da0dfc6af295bedc4567373b171f514dd09a4cc4b31513.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "fc852227dcec45dab418f6f84274986a",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/79.0 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 12:46:43 - INFO - filelock -   Lock 140417573228688 released on /root/.cache/huggingface/transformers/e8a600814b69e3ee74bb4a7398cc6fef9812475010f16a6c9f151b2c2772b089.451739a2f3b82c3375da0dfc6af295bedc4567373b171f514dd09a4cc4b31513.lock\n",
            "09/17/2021 12:46:43 - WARNING - farm.utils -   ML Logging is turned off. No parameters, metrics or artifacts will be logged to MLFlow.\n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Using device: CUDA \n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Number of GPUs: 1\n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Distributed Training: False\n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Automatic Mixed Precision: None\n",
            "09/17/2021 12:46:43 - INFO - farm.infer -   Got ya 2 parallel workers to do inference ...\n",
            "09/17/2021 12:46:43 - INFO - farm.infer -    0    0 \n",
            "09/17/2021 12:46:43 - INFO - farm.infer -   /w\\  /w\\\n",
            "09/17/2021 12:46:43 - INFO - farm.infer -   /'\\  / \\\n",
            "09/17/2021 12:46:43 - INFO - farm.infer -     \n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Using device: CUDA \n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Number of GPUs: 1\n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Distributed Training: False\n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Automatic Mixed Precision: None\n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Using device: CUDA \n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Number of GPUs: 1\n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Distributed Training: False\n",
            "09/17/2021 12:46:43 - INFO - farm.utils -   Automatic Mixed Precision: None\n",
            "Preprocessing Dataset /content/drive/MyDrive/Colab Notebooks/Crypto-Answer-main/data/squad20/training_data_fine_tuning.json:  22%|██▏       | 7/32 [00:11<00:41,  1.65s/ Dicts]\n",
            "09/17/2021 12:46:56 - INFO - farm.modeling.optimization -   Loading optimizer `TransformersAdamW`: '{'correct_bias': False, 'weight_decay': 0.01, 'lr': 1e-05}'\n",
            "09/17/2021 12:46:56 - INFO - farm.modeling.optimization -   Using scheduler 'get_linear_schedule_with_warmup'\n",
            "09/17/2021 12:46:56 - INFO - farm.modeling.optimization -   Loading schedule `get_linear_schedule_with_warmup`: '{'num_training_steps': 727, 'num_warmup_steps': 145}'\n",
            "Train epoch 0/0 (Cur. train loss: 0.0009): 100%|██████████| 727/727 [11:06<00:00,  1.09it/s]\n",
            "09/17/2021 12:58:02 - INFO - haystack.reader.farm -   Saving reader model to my_model\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rrTrb-ecKigf"
      },
      "source": [
        "##Document-store\n",
        "\n",
        "Start Elasticsearch from source, to be able to use the Elasticsearch document-store [6].\n",
        "\n",
        "This process requires a few seconds.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iUiCREVhjgod"
      },
      "source": [
        "! wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.9.2-linux-x86_64.tar.gz -q\n",
        "! tar -xzf elasticsearch-7.9.2-linux-x86_64.tar.gz\n",
        "! chown -R daemon:daemon elasticsearch-7.9.2\n",
        "\n",
        "import os\n",
        "from subprocess import Popen, PIPE, STDOUT\n",
        "es_server = Popen(['elasticsearch-7.9.2/bin/elasticsearch'],\n",
        "                   stdout=PIPE, stderr=STDOUT,\n",
        "                   preexec_fn=lambda: os.setuid(1)\n",
        "                  )\n",
        "\n",
        "! sleep 30"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FQb2DdZVKs-T"
      },
      "source": [
        "We create an Elasticsearch document-stores for the retriever models."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9CgYPRuajrNV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e71a02f5-63ab-4876-c562-dd7edcbff189"
      },
      "source": [
        "from haystack.document_store.elasticsearch import ElasticsearchDocumentStore\n",
        "document_store = ElasticsearchDocumentStore(host=\"localhost\", username=\"\", password=\"\", index=\"document\")"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 12:58:51 - INFO - elasticsearch -   HEAD http://localhost:9200/ [status:200 request:0.089s]\n",
            "09/17/2021 12:58:52 - INFO - elasticsearch -   PUT http://localhost:9200/document [status:200 request:0.468s]\n",
            "09/17/2021 12:58:52 - INFO - elasticsearch -   PUT http://localhost:9200/label [status:200 request:0.260s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ThdtNVWO6_N8"
      },
      "source": [
        "This function saves the preprocessed dictionary into the elasticsearch document-store, after deleting already existing files. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hA8HAnW8w4N5"
      },
      "source": [
        "def saveDataFromDictonaryToElasticseach(dicts):\n",
        "    try:\n",
        "      document_store.delete_documents()\n",
        "    except:\n",
        "      print(\"Document store is empty.\")\n",
        "    document_store.write_documents(dicts)"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8jl9ExYoOngf"
      },
      "source": [
        "##Pre-processing\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "832zRp5QAEsD"
      },
      "source": [
        "To implement pre-processing steps on the documents, we also used the code from Haystack's official github page [9]. \n",
        "\n",
        "The provided Pre-processor did not work on our customized dictonary, therefore we modified the most relevant functions.\n",
        "\n",
        "These include cleaning unnecessary escape-sequences as well as splitting longer texts into multiple smaller paragraphs."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PIEY1cHyKLep"
      },
      "source": [
        "import logging\n",
        "import re\n",
        "from copy import deepcopy\n",
        "from functools import partial, reduce\n",
        "from itertools import chain\n",
        "from typing import List, Optional, Generator, Set, Union\n",
        "from more_itertools import windowed\n",
        "from tqdm import tqdm\n",
        "from haystack.preprocessor.base import BasePreProcessor\n",
        "logger = logging.getLogger(__name__)\n",
        "\n",
        "def preprocessDicts(dicts):\n",
        "  for dictionary in dicts:  \n",
        "    text = dictionary[\"text\"]\n",
        "    lines = text.splitlines()\n",
        "\n",
        "    cleaned_lines = []\n",
        "    for line in lines:\n",
        "      line = line.strip()\n",
        "      line.replace(\"\\n\", \" \\n\")\n",
        "      line.replace(\"\\t\", \" \\t\")\n",
        "      cleaned_lines.append(line)\n",
        "      text = \"\\n\".join(cleaned_lines)\n",
        "      text = re.sub(r\"\\n\\n+\", \"\\n\\n\", text)\n",
        "      \n",
        "    dictionary[\"text\"] = text\n",
        "  return dicts\n",
        "\n"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yEnSWRMeKNut",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8c3ffcb0-8a14-410d-ae68-692177627652"
      },
      "source": [
        "import logging\n",
        "import re\n",
        "from copy import deepcopy\n",
        "from functools import partial, reduce\n",
        "from itertools import chain\n",
        "from typing import List, Optional, Generator, Set, Union\n",
        "from more_itertools import windowed\n",
        "from tqdm import tqdm\n",
        "from haystack.preprocessor.base import BasePreProcessor\n",
        "logger = logging.getLogger(__name__)\n",
        "import nltk\n",
        "nltk.download('punkt')\n",
        "from nltk.tokenize import word_tokenize,sent_tokenize\n",
        "\n",
        "\n",
        "def splitDictionaries(cleanedDicts):\n",
        "  split_length= 200\n",
        "  split_overlap=3\n",
        "  documents = []\n",
        "  for dictionary in cleanedDicts:  \n",
        "    text = dictionary[\"text\"]\n",
        "    \n",
        "    # split by words ensuring no sub sentence splits\n",
        "    sentences = sent_tokenize(text, language=\"english\")\n",
        "    word_count = 0\n",
        "    list_splits = []\n",
        "    current_slice: List[str] = []\n",
        "    for sen in sentences:\n",
        "        current_word_count = len(sen.split(\" \"))\n",
        "        if word_count + current_word_count > split_length:\n",
        "            list_splits.append(current_slice)\n",
        "            # Enable split_stride with split_by='word' while respecting sentence boundaries.\n",
        "            if split_overlap:\n",
        "                overlap = []\n",
        "                w_count = 0\n",
        "                for s in current_slice[::-1]:\n",
        "                    sen_len = len(s.split(\" \"))\n",
        "                    if w_count < split_overlap:\n",
        "                        overlap.append(s)\n",
        "                        w_count += sen_len\n",
        "                    else:\n",
        "                        break\n",
        "                current_slice = list(reversed(overlap))\n",
        "                word_count = w_count\n",
        "            else:\n",
        "                current_slice = []\n",
        "                word_count = 0\n",
        "        current_slice.append(sen)\n",
        "        word_count += len(sen.split(\" \"))\n",
        "    if current_slice:\n",
        "        list_splits.append(current_slice)\n",
        "\n",
        "    text_splits = []\n",
        "    for sl in list_splits:\n",
        "        txt = ' '.join(sl)\n",
        "        if len(txt) > 0:\n",
        "            text_splits.append(txt)\n",
        "\n",
        "\n",
        "    # create new document dicts for each text split\n",
        "    for i, txt in enumerate(text_splits):\n",
        "        doc = deepcopy(dictionary)\n",
        "        doc[\"text\"] = txt\n",
        "        if \"meta\" not in doc.keys() or doc[\"meta\"] is None:\n",
        "            doc[\"meta\"] = {}\n",
        "        doc[\"meta\"][\"_split_id\"] = i\n",
        "        documents.append(doc)\n",
        "\n",
        "  return documents\n"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cxKC-SJfKw5U"
      },
      "source": [
        "##Creating the Web-Crawler\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NdAKzQNiK0yy"
      },
      "source": [
        "The Webcrawler from the official Haystack website [7] from version 0.9.0 did not work in Colab because of the Google Chrome Webdriver. \n",
        "\n",
        "Therefore we used the provided original code from the github-website of Haystack version 0.9.0 [8] and changed the code to work with Google Colab.\n",
        "\n",
        "We set our own chrome_options, used the webdriver from the webdriver-manager and removed the creation of textfiles, since the websites will be reloaded for real time data."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ezu1NI7wQ5Ef",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "c0b73427-d306-4d99-f078-3b1191f314ee"
      },
      "source": [
        "import json\n",
        "import logging\n",
        "import re\n",
        "from pathlib import Path\n",
        "from haystack.preprocessor.cleaning import clean_wiki_text\n",
        "from urllib.parse import urlparse\n",
        "from typing import List, Any, Optional, Dict, Tuple, Union\n",
        "from haystack.schema import Document, BaseComponent\n",
        "logger = logging.getLogger(__name__)\n",
        "!pip install webdriver-manager\n",
        "!pip install selenium\n",
        "!apt-get update \n",
        "!apt install chromium-chromedriver\n",
        "!cp /usr/lib/chromium-browser/chromedriver /usr/bin\n",
        "import sys\n",
        "sys.path.insert(0,'/usr/lib/chromium-browser/chromedriver')\n",
        "from selenium import webdriver\n",
        "urlsUpdate = []\n",
        "alreadyUpdated = False\n",
        "\n",
        "class Crawler(BaseComponent):\n",
        "   \n",
        "    outgoing_edges = 1\n",
        "\n",
        "    def __init__(self, output_dir: str, urls: Optional[List[str]] = None, crawler_depth: int = 1,\n",
        "                 filter_urls: Optional[List] = None, overwrite_existing_files=True):\n",
        "        #modified chrome_options and webdriver\n",
        "        chrome_options = webdriver.ChromeOptions()\n",
        "        chrome_options.add_argument('--headless')\n",
        "        chrome_options.add_argument('--no-sandbox')\n",
        "        chrome_options.add_argument('--disable-dev-shm-usage')\n",
        "        self.driver = webdriver.Chrome('chromedriver',options=chrome_options)\n",
        "        self.urls = urls\n",
        "        self.output_dir = output_dir\n",
        "        self.crawler_depth = crawler_depth\n",
        "        self.filter_urls = filter_urls\n",
        "        self.overwrite_existing_files = overwrite_existing_files\n",
        "\n",
        "    def crawl(self,  output_dir: Union[str, Path, None] = None,\n",
        "              urls: Optional[List[str]] = None,\n",
        "              crawler_depth: Optional[int] = None,\n",
        "              filter_urls: Optional[List] = None,\n",
        "              overwrite_existing_files: Optional[bool] = None) -> List[Path]:\n",
        "        \n",
        "        urls = urls or self.urls\n",
        "        output_dir = output_dir or self.output_dir\n",
        "        filter_urls = filter_urls or self.filter_urls\n",
        "        file_paths: list = []\n",
        "        sub_links: Dict[str, List] = {}\n",
        "\n",
        "        # don't go beyond the initial list of urls (starting pages)\n",
        "        if crawler_depth == 0:\n",
        "            file_paths.extend(self._write_to_files(urls, output_dir=output_dir))\n",
        "        # follow one level of sublinks (returns crawled pages)\n",
        "        elif crawler_depth == 1:\n",
        "            for url_ in urls:\n",
        "                existed_links: List = list(sum(list(sub_links.values()), []))\n",
        "                sub_links[url_] = list(self._extract_sublinks_from_url(base_url=url_, filter_urls=filter_urls,\n",
        "                                                                  existed_links=existed_links))\n",
        "            for url in sub_links:\n",
        "                file_paths.extend(self._write_to_files(sub_links[url], output_dir=output_dir, base_url=url))\n",
        "\n",
        "        return file_paths\n",
        "\n",
        "#we reused the functions created by Haystack's provided github code\n",
        "    def _write_to_files(self, urls: List[str], output_dir: Path, base_url: str = None) -> List[Path]:\n",
        "        paths = []\n",
        "        for link in urls:\n",
        "            if (alreadyUpdated != True):\n",
        "                urlsUpdate.append(link)\n",
        "            logger.info(f\"writing contents from `{link}`\")\n",
        "            self.driver.get(link)\n",
        "            el = self.driver.find_element_by_tag_name('body')\n",
        "            text = el.text\n",
        "\n",
        "            data = {}\n",
        "            \n",
        "            data['meta'] = {'url': link}\n",
        "            if base_url:\n",
        "                data['meta']['base_url'] = base_url\n",
        "            data['text'] = clean_wiki_text(text)\n",
        "            paths.append(data)\n",
        "\n",
        "        return paths\n",
        "\n",
        "    def run(self, output_dir: Union[str, Path, None] = None, urls: Optional[List[str]] = None,  # type: ignore\n",
        "            crawler_depth: Optional[int] = None, filter_urls: Optional[List] = None,  # type: ignore\n",
        "            overwrite_existing_files: Optional[bool] = None, return_documents: Optional[bool] = False,  # type: ignore\n",
        "            **kwargs) -> Tuple[Dict, str]:  # type: ignore\n",
        "        \n",
        "\n",
        "        file_paths = self.crawl(urls=urls, output_dir=output_dir, crawler_depth=crawler_depth,\n",
        "                                  filter_urls=filter_urls, overwrite_existing_files=overwrite_existing_files)\n",
        "        if return_documents:\n",
        "            crawled_data = [self._read_json_file(_file) for _file in file_paths]\n",
        "            results = {\"documents\": crawled_data}\n",
        "        else:\n",
        "            results = {\"paths\": file_paths}\n",
        "        results.update(**kwargs)\n",
        "        return results, \"output_1\"\n",
        "\n",
        "    @staticmethod\n",
        "    def _is_internal_url(base_url: str, sub_link: str) -> bool:\n",
        "        base_url_ = urlparse(base_url)\n",
        "        sub_link_ = urlparse(sub_link)\n",
        "        return base_url_.scheme == sub_link_.scheme and base_url_.netloc == sub_link_.netloc\n",
        "\n",
        "    @staticmethod\n",
        "    def _is_inpage_navigation(base_url: str, sub_link: str) -> bool:\n",
        "        base_url_ = urlparse(base_url)\n",
        "        sub_link_ = urlparse(sub_link)\n",
        "        return base_url_.path == sub_link_.path and base_url_.netloc == sub_link_.netloc\n",
        "\n",
        "    def _extract_sublinks_from_url(self, base_url: str,\n",
        "                                   filter_urls: Optional[List] = None,\n",
        "                                  existed_links: List = None) -> set:\n",
        "        self.driver.get(base_url)\n",
        "        a_elements = self.driver.find_elements_by_tag_name('a')\n",
        "        sub_links = set()\n",
        "        if not (existed_links and base_url in existed_links):\n",
        "            if filter_urls:\n",
        "                if re.compile('|'.join(filter_urls)).search(base_url):\n",
        "                    sub_links.add(base_url)\n",
        "\n",
        "        for i in a_elements:\n",
        "            sub_link = i.get_attribute('href')\n",
        "            if not (existed_links and sub_link in existed_links):\n",
        "                if self._is_internal_url(base_url=base_url, sub_link=sub_link) \\\n",
        "                        and (not self._is_inpage_navigation(base_url=base_url, sub_link=sub_link)):\n",
        "                    if filter_urls:\n",
        "                        if re.compile('|'.join(filter_urls)).search(sub_link):\n",
        "                            sub_links.add(sub_link)\n",
        "                    else:\n",
        "                        sub_links.add(sub_link)\n",
        "\n",
        "        return sub_links\n",
        "\n",
        "    def _read_json_file(self, file_path: Path):\n",
        "        \"\"\"Read the json file and return the content\"\"\"\n",
        "        with open(file_path.absolute(), \"r\") as read_file:\n",
        "            return json.load(read_file)\n"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting webdriver-manager\n",
            "  Downloading webdriver_manager-3.4.2-py2.py3-none-any.whl (16 kB)\n",
            "Collecting configparser\n",
            "  Downloading configparser-5.0.2-py3-none-any.whl (19 kB)\n",
            "Collecting crayons\n",
            "  Downloading crayons-0.4.0-py2.py3-none-any.whl (4.6 kB)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from webdriver-manager) (2.23.0)\n",
            "Requirement already satisfied: colorama in /usr/local/lib/python3.7/dist-packages (from crayons->webdriver-manager) (0.4.4)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->webdriver-manager) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->webdriver-manager) (2.10)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->webdriver-manager) (2021.5.30)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->webdriver-manager) (1.25.11)\n",
            "Installing collected packages: crayons, configparser, webdriver-manager\n",
            "Successfully installed configparser-5.0.2 crayons-0.4.0 webdriver-manager-3.4.2\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "configparser"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting selenium\n",
            "  Downloading selenium-3.141.0-py2.py3-none-any.whl (904 kB)\n",
            "\u001b[K     |████████████████████████████████| 904 kB 5.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: urllib3 in /usr/local/lib/python3.7/dist-packages (from selenium) (1.25.11)\n",
            "Installing collected packages: selenium\n",
            "Successfully installed selenium-3.141.0\n",
            "Get:1 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]\n",
            "Get:2 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ InRelease [3,626 B]\n",
            "Ign:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease\n",
            "Ign:4 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  InRelease\n",
            "Get:5 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Release [696 B]\n",
            "Get:6 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic InRelease [15.9 kB]\n",
            "Hit:7 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Release\n",
            "Hit:8 http://archive.ubuntu.com/ubuntu bionic InRelease\n",
            "Get:9 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Release.gpg [836 B]\n",
            "Get:10 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]\n",
            "Hit:11 http://ppa.launchpad.net/cran/libgit2/ubuntu bionic InRelease\n",
            "Get:12 http://security.ubuntu.com/ubuntu bionic-security/restricted amd64 Packages [567 kB]\n",
            "Get:13 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic InRelease [15.9 kB]\n",
            "Get:14 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [74.6 kB]\n",
            "Get:15 http://security.ubuntu.com/ubuntu bionic-security/universe amd64 Packages [1,428 kB]\n",
            "Get:16 http://security.ubuntu.com/ubuntu bionic-security/main amd64 Packages [2,326 kB]\n",
            "Hit:18 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease\n",
            "Get:19 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Packages [718 kB]\n",
            "Get:20 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main Sources [1,799 kB]\n",
            "Get:21 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages [2,761 kB]\n",
            "Get:22 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main amd64 Packages [921 kB]\n",
            "Get:23 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 Packages [2,202 kB]\n",
            "Get:24 http://archive.ubuntu.com/ubuntu bionic-updates/restricted amd64 Packages [600 kB]\n",
            "Get:25 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic/main amd64 Packages [40.8 kB]\n",
            "Fetched 13.7 MB in 4s (3,688 kB/s)\n",
            "Reading package lists... Done\n",
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following additional packages will be installed:\n",
            "  chromium-browser chromium-browser-l10n chromium-codecs-ffmpeg-extra\n",
            "Suggested packages:\n",
            "  webaccounts-chromium-extension unity-chromium-extension\n",
            "The following NEW packages will be installed:\n",
            "  chromium-browser chromium-browser-l10n chromium-chromedriver\n",
            "  chromium-codecs-ffmpeg-extra\n",
            "0 upgraded, 4 newly installed, 0 to remove and 107 not upgraded.\n",
            "Need to get 91.8 MB of archives.\n",
            "After this operation, 315 MB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 chromium-codecs-ffmpeg-extra amd64 92.0.4515.159-0ubuntu0.18.04.1 [1,124 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 chromium-browser amd64 92.0.4515.159-0ubuntu0.18.04.1 [81.7 MB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 chromium-browser-l10n all 92.0.4515.159-0ubuntu0.18.04.1 [4,026 kB]\n",
            "Get:4 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 chromium-chromedriver amd64 92.0.4515.159-0ubuntu0.18.04.1 [4,902 kB]\n",
            "Fetched 91.8 MB in 5s (19.5 MB/s)\n",
            "Selecting previously unselected package chromium-codecs-ffmpeg-extra.\n",
            "(Reading database ... 148492 files and directories currently installed.)\n",
            "Preparing to unpack .../chromium-codecs-ffmpeg-extra_92.0.4515.159-0ubuntu0.18.04.1_amd64.deb ...\n",
            "Unpacking chromium-codecs-ffmpeg-extra (92.0.4515.159-0ubuntu0.18.04.1) ...\n",
            "Selecting previously unselected package chromium-browser.\n",
            "Preparing to unpack .../chromium-browser_92.0.4515.159-0ubuntu0.18.04.1_amd64.deb ...\n",
            "Unpacking chromium-browser (92.0.4515.159-0ubuntu0.18.04.1) ...\n",
            "Selecting previously unselected package chromium-browser-l10n.\n",
            "Preparing to unpack .../chromium-browser-l10n_92.0.4515.159-0ubuntu0.18.04.1_all.deb ...\n",
            "Unpacking chromium-browser-l10n (92.0.4515.159-0ubuntu0.18.04.1) ...\n",
            "Selecting previously unselected package chromium-chromedriver.\n",
            "Preparing to unpack .../chromium-chromedriver_92.0.4515.159-0ubuntu0.18.04.1_amd64.deb ...\n",
            "Unpacking chromium-chromedriver (92.0.4515.159-0ubuntu0.18.04.1) ...\n",
            "Setting up chromium-codecs-ffmpeg-extra (92.0.4515.159-0ubuntu0.18.04.1) ...\n",
            "Setting up chromium-browser (92.0.4515.159-0ubuntu0.18.04.1) ...\n",
            "update-alternatives: using /usr/bin/chromium-browser to provide /usr/bin/x-www-browser (x-www-browser) in auto mode\n",
            "update-alternatives: using /usr/bin/chromium-browser to provide /usr/bin/gnome-www-browser (gnome-www-browser) in auto mode\n",
            "Setting up chromium-chromedriver (92.0.4515.159-0ubuntu0.18.04.1) ...\n",
            "Setting up chromium-browser-l10n (92.0.4515.159-0ubuntu0.18.04.1) ...\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "Processing triggers for hicolor-icon-theme (0.17-2) ...\n",
            "Processing triggers for mime-support (3.60ubuntu1) ...\n",
            "Processing triggers for libc-bin (2.27-3ubuntu1.2) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/python3.7/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n",
            "\n",
            "cp: '/usr/lib/chromium-browser/chromedriver' and '/usr/bin/chromedriver' are the same file\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1tEYXbAaKUwW"
      },
      "source": [
        "##Execution of the Web-Crawler\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "311ZhYl59xpX"
      },
      "source": [
        "<img height=\"300px\" src= \"https://drive.google.com/uc?export=view&id=1e_5kdZ2uHqqG1jLTifzYh3hU8gY8ipt4\">\n",
        "\n",
        "\n",
        "For the document collection of our QA-system we used the modified webcrawler [8]. \n",
        "\n",
        "We used two different versions of the webcrawler.\n",
        "The first one crawls starting pages, in this case Coinmarketcap [10] and the support of Blockchain [11] to recieve additionally all the articles linked from the starting pages.\n",
        "Crawling the Wikipedia cryptocurrency website [12] included a huge collection of sub-links. Among those only a few articles were relevant for our QA-system.\n",
        "Therefore we used a second crawler to crawl a collection of the relevant Wikipedia articles as starting pages without further crawling.\n",
        "\n",
        "While crawling the Websites, the crawler also saved all the URLs to be able to reload the websites' data without the need to crawl the websites again.\n",
        "\n",
        "The crawler returns the crawled texts as a dictonary.\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j2raOlgYKXwU",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "59ab6ea2-adb0-448a-c1e8-99770a9d30e1"
      },
      "source": [
        "crawler = Crawler(output_dir=\"crawled_files\")\n",
        "docs = crawler.crawl(urls=[\"https://coinmarketcap.com/coins/\", \"https://support.blockchain.com/hc/en-us/categories/201149143-Cryptocurrency-FAQs\"],\n",
        "                     overwrite_existing_files= True,\n",
        "                     crawler_depth= 1,\n",
        "                     output_dir=\"crawled_files\",\n",
        "                     filter_urls= [\"currencies\", \"support\\.blockchain\"])\n",
        "\n",
        "singleDocs = crawler.crawl(urls=[\"https://en.wikipedia.org/wiki/Cryptocurrency\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Strong_cryptography\", \n",
        "                                 \"https://en.wikipedia.org/wiki/Decentralization\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Central_bank_digital_currency\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Distributed_ledger\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Blockchain\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Proof_of_work\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Proof_of_stake\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Decentralized_application\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Smart_contract\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Fungibility\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Non-fungible_token\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Satoshi_Nakamoto\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Bitcoin_network#Mining\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Peer-to-peer\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Cryptocurrency_wallet\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Public-key_cryptography\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Cryptocurrency_exchange\",\n",
        "                                 \"https://en.wikipedia.org/wiki/Binance\"],\n",
        "                     overwrite_existing_files= True,\n",
        "                     crawler_depth= 0,\n",
        "                     output_dir=\"crawled_files\")\n",
        "\n",
        "alreadyUpdated = True\n",
        "docs.extend(singleDocs)"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 12:59:44 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/telos/`\n",
            "09/17/2021 12:59:47 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/theta-fuel/`\n",
            "09/17/2021 12:59:48 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/bitcoin-sv/`\n",
            "09/17/2021 12:59:49 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/harmony/`\n",
            "09/17/2021 12:59:51 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/solana/?period=7d`\n",
            "09/17/2021 12:59:52 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/akash-network/`\n",
            "09/17/2021 12:59:53 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/sitemap/cryptocurrencies/`\n",
            "09/17/2021 12:59:55 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/bitcoin-diamond/`\n",
            "09/17/2021 12:59:57 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/polygon/`\n",
            "09/17/2021 12:59:58 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/avalanche/markets/`\n",
            "09/17/2021 13:00:00 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/phala-network/`\n",
            "09/17/2021 13:00:02 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/pac-protocol/`\n",
            "09/17/2021 13:00:04 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/bitcoin-cash/`\n",
            "09/17/2021 13:00:05 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/solana/markets/`\n",
            "09/17/2021 13:00:06 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/bitcoin-gold/`\n",
            "09/17/2021 13:00:09 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/binance-coin/?period=7d`\n",
            "09/17/2021 13:00:11 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/dogecoin/markets/`\n",
            "09/17/2021 13:00:13 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/avalanche/`\n",
            "09/17/2021 13:00:14 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/xrp/markets/`\n",
            "09/17/2021 13:00:15 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/radio-caca/airdrop/`\n",
            "09/17/2021 13:00:17 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/ecash/`\n",
            "09/17/2021 13:00:18 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/xinfin/`\n",
            "09/17/2021 13:00:20 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/solana/`\n",
            "09/17/2021 13:00:21 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/waves/`\n",
            "09/17/2021 13:00:23 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/ardor/`\n",
            "09/17/2021 13:00:24 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/polkadot-new/markets/`\n",
            "09/17/2021 13:00:25 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/hive-blockchain/`\n",
            "09/17/2021 13:00:27 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/bitcoin/`\n",
            "09/17/2021 13:00:28 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/polkadot-new/`\n",
            "09/17/2021 13:00:30 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/creditcoin/`\n",
            "09/17/2021 13:00:31 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/xrp/?period=7d`\n",
            "09/17/2021 13:00:33 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/coti/`\n",
            "09/17/2021 13:00:34 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/bitcoin-cash-abc-2/`\n",
            "09/17/2021 13:00:36 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/kadena/`\n",
            "09/17/2021 13:00:37 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/ark/`\n",
            "09/17/2021 13:00:39 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/nano/`\n",
            "09/17/2021 13:00:40 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/medibloc/`\n",
            "09/17/2021 13:00:41 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/nem/`\n",
            "09/17/2021 13:00:43 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/cardano/?period=7d`\n",
            "09/17/2021 13:00:45 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/tomochain/`\n",
            "09/17/2021 13:00:46 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/dogecoin/`\n",
            "09/17/2021 13:00:48 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/stacks/`\n",
            "09/17/2021 13:00:49 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/zilliqa/`\n",
            "09/17/2021 13:00:51 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/bitcoin/?period=7d`\n",
            "09/17/2021 13:00:53 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/ethereum/`\n",
            "09/17/2021 13:00:54 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/stratis/`\n",
            "09/17/2021 13:00:55 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/steem/`\n",
            "09/17/2021 13:00:57 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/monero/`\n",
            "09/17/2021 13:00:58 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/tron/`\n",
            "09/17/2021 13:01:00 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/ravencoin/`\n",
            "09/17/2021 13:01:01 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/algorand/`\n",
            "09/17/2021 13:01:02 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/mina/`\n",
            "09/17/2021 13:01:04 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/neo/`\n",
            "09/17/2021 13:01:06 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/velas/`\n",
            "09/17/2021 13:01:07 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/celo/`\n",
            "09/17/2021 13:01:09 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/verge/`\n",
            "09/17/2021 13:01:11 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/ergo/`\n",
            "09/17/2021 13:01:12 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/casper/`\n",
            "09/17/2021 13:01:14 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/oasis-network/`\n",
            "09/17/2021 13:01:15 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/avalanche/?period=7d`\n",
            "09/17/2021 13:01:16 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/symbol/`\n",
            "09/17/2021 13:01:18 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/radicle/`\n",
            "09/17/2021 13:01:20 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/sapphire/`\n",
            "09/17/2021 13:01:21 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/tezos/`\n",
            "09/17/2021 13:01:22 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/vechain/`\n",
            "09/17/2021 13:01:24 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/whitecoin/`\n",
            "09/17/2021 13:01:25 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/stellar/`\n",
            "09/17/2021 13:01:26 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/terra-luna/?period=7d`\n",
            "09/17/2021 13:01:28 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/iostoken/`\n",
            "09/17/2021 13:01:29 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/nkn/`\n",
            "09/17/2021 13:01:31 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/decred/`\n",
            "09/17/2021 13:01:32 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/eos/`\n",
            "09/17/2021 13:01:34 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/terra-luna/markets/`\n",
            "09/17/2021 13:01:35 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/binance-coin/markets/`\n",
            "09/17/2021 13:01:36 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/near-protocol/`\n",
            "09/17/2021 13:01:38 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/wax/`\n",
            "09/17/2021 13:01:39 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/electroneum/`\n",
            "09/17/2021 13:01:41 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/litecoin/`\n",
            "09/17/2021 13:01:42 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/iotex/`\n",
            "09/17/2021 13:01:44 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/constellation/`\n",
            "09/17/2021 13:01:45 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/theta/`\n",
            "09/17/2021 13:01:47 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/dero/`\n",
            "09/17/2021 13:01:48 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/serum/`\n",
            "09/17/2021 13:01:49 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/ethereum/?period=7d`\n",
            "09/17/2021 13:01:50 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/cosmos/`\n",
            "09/17/2021 13:01:52 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/defichain/`\n",
            "09/17/2021 13:01:53 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/klaytn/`\n",
            "09/17/2021 13:01:55 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/bitcoin/markets/`\n",
            "09/17/2021 13:01:57 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/chia-network/`\n",
            "09/17/2021 13:01:58 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/counos-x/`\n",
            "09/17/2021 13:02:00 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/terrausd/`\n",
            "09/17/2021 13:02:01 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/lisk/`\n",
            "09/17/2021 13:02:03 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/pirate-chain/`\n",
            "09/17/2021 13:02:04 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/elrond-egld/`\n",
            "09/17/2021 13:02:05 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/fantom/`\n",
            "09/17/2021 13:02:07 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/kusama/`\n",
            "09/17/2021 13:02:08 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/cardano/`\n",
            "09/17/2021 13:02:10 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/icon/`\n",
            "09/17/2021 13:02:11 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/binance-coin/`\n",
            "09/17/2021 13:02:12 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/horizen/`\n",
            "09/17/2021 13:02:14 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/digibyte/`\n",
            "09/17/2021 13:02:15 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/internet-computer/`\n",
            "09/17/2021 13:02:16 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/filecoin/`\n",
            "09/17/2021 13:02:18 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/dogecoin/?period=7d`\n",
            "09/17/2021 13:02:19 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/flow/`\n",
            "09/17/2021 13:02:21 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/nervos-network/`\n",
            "09/17/2021 13:02:22 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/ethereum-classic/`\n",
            "09/17/2021 13:02:23 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/hedera-hashgraph/`\n",
            "09/17/2021 13:02:25 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/arweave/`\n",
            "09/17/2021 13:02:26 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/cardano/markets/`\n",
            "09/17/2021 13:02:28 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/xrp/`\n",
            "09/17/2021 13:02:29 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/ontology/`\n",
            "09/17/2021 13:02:32 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/polkadot-new/?period=7d`\n",
            "09/17/2021 13:02:34 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/dash/`\n",
            "09/17/2021 13:02:36 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/ethereum/markets/`\n",
            "09/17/2021 13:02:37 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/zcash/`\n",
            "09/17/2021 13:02:39 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/energy-web-token/`\n",
            "09/17/2021 13:02:41 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/terra-luna/`\n",
            "09/17/2021 13:02:42 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/qtum/`\n",
            "09/17/2021 13:02:43 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/siacoin/`\n",
            "09/17/2021 13:02:46 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/iota/`\n",
            "09/17/2021 13:02:47 - INFO - __main__ -   writing contents from `https://coinmarketcap.com/currencies/helium/`\n",
            "09/17/2021 13:02:49 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/sections/360002713772-Stellar-FAQ`\n",
            "09/17/2021 13:02:49 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/211160223-What-is-blockchain-technology-`\n",
            "09/17/2021 13:02:50 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/sections/360009309252-Tether-FAQ`\n",
            "09/17/2021 13:02:50 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/115001345946-Your-Wallet-Its-Master-Seed`\n",
            "09/17/2021 13:02:51 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360052984751-Why-do-I-need-ETH-to-send-wDGLD-`\n",
            "09/17/2021 13:02:51 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360019105171-What-is-Stellar-`\n",
            "09/17/2021 13:02:52 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360019105391-Stellar-consensus`\n",
            "09/17/2021 13:02:52 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us`\n",
            "09/17/2021 13:02:52 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/sections/115001633403-Bitcoin-Cash-FAQ`\n",
            "09/17/2021 13:02:53 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/sections/360011250552-Wrapped-DGLD-FAQ`\n",
            "09/17/2021 13:02:53 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/change_language/ru?return_to=%2Fhc%2Fru%2Fcategories%2F201149143-%25D0%259E%25D0%25B1%25D1%2589%25D0%25B0%25D1%258F-%25D0%25B8%25D0%25BD%25D1%2584%25D0%25BE%25D1%2580%25D0%25BC%25D0%25B0%25D1%2586%25D0%25B8%25D1%258F`\n",
            "09/17/2021 13:02:54 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/categories/201149143-Cryptocurrency-FAQs`\n",
            "09/17/2021 13:02:54 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/115003678966-What-are-the-fees-for-sending-ether-`\n",
            "09/17/2021 13:02:55 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360027491732-What-is-Paxos-Standard-previously-USD-Digital-`\n",
            "09/17/2021 13:02:55 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360027772771-Is-my-Paxos-Standard-previously-USD-Digital-balance-backed-up-by-my-backup-phrase-`\n",
            "09/17/2021 13:02:56 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/115005882786-What-is-Bitcoin-Cash-`\n",
            "09/17/2021 13:02:56 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360019105471-Why-do-Stellar-addresses-have-a-minimum-balance-requirement-`\n",
            "09/17/2021 13:02:57 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360000093403-Why-do-Bitcoin-Cash-addresses-look-different-from-Bitcoin-addresses-`\n",
            "09/17/2021 13:02:57 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360045226412-What-can-I-do-with-ALGO-`\n",
            "09/17/2021 13:02:58 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360000939843-Understanding-the-xPub-and-address-generation`\n",
            "09/17/2021 13:02:58 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/sections/360000175543-General-Cryptocurrency-FAQ`\n",
            "09/17/2021 13:02:58 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/213276463-Bitcoin-Glossary`\n",
            "09/17/2021 13:02:59 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360045724872-Can-I-receive-bitcoin-based-USDT-to-my-Blockchain-com-Wallet-`\n",
            "09/17/2021 13:02:59 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360040028192-Anatomy-of-a-Bitcoin-Transaction`\n",
            "09/17/2021 13:03:00 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/sections/202097826-Bitcoin-FAQ`\n",
            "09/17/2021 13:03:00 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360052952171-What-is-wrapped-DGLD-wDGLD-`\n",
            "09/17/2021 13:03:00 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/115005864123-What-is-the-difference-between-Bitcoin-and-Bitcoin-Cash-`\n",
            "09/17/2021 13:03:01 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360045226292-What-is-Algorand-`\n",
            "09/17/2021 13:03:01 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/115003651143--What-is-Ethereum-and-other-answers-to-basic-questions-about-the-Ethereum-network`\n",
            "09/17/2021 13:03:02 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/211122603-What-is-Bitcoin-`\n",
            "09/17/2021 13:03:02 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360000939883-Explaining-bitcoin-transaction-fees`\n",
            "09/17/2021 13:03:03 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360018083772-Rejected-Transactions`\n",
            "09/17/2021 13:03:03 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/signin?return_to=https%3A%2F%2Fsupport.blockchain.com%2Fhc%2Fen-us%2Fcategories%2F201149143-Educational-Resources&locale=en-us`\n",
            "09/17/2021 13:03:04 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360040778351-Can-I-still-receive-USD-Digital-into-my-Blockchain-com-Wallet-`\n",
            "09/17/2021 13:03:05 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360052540531-Bitcoin-Cash-BCH-Hard-Fork-on-15-November-2020`\n",
            "09/17/2021 13:03:06 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/211160663-How-can-I-look-up-a-transaction-on-the-blockchain-`\n",
            "09/17/2021 13:03:07 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/115003678926-How-do-I-know-a-transaction-has-been-successfully-received-sent-`\n",
            "09/17/2021 13:03:07 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/sections/360004368351-Paxos-Standard-previously-USD-Digital-FAQ`\n",
            "09/17/2021 13:03:08 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360027772571-What-is-gas-`\n",
            "09/17/2021 13:03:08 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/sections/360000003163-Ethereum-FAQ`\n",
            "09/17/2021 13:03:09 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360044952032-What-is-Tether-USDT-`\n",
            "09/17/2021 13:03:09 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360019106091-Stellar-glossary`\n",
            "09/17/2021 13:03:10 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/115005883466-What-are-the-fees-for-sending-bitcoin-cash-`\n",
            "09/17/2021 13:03:10 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360027491872-What-is-an-ERC20-token-`\n",
            "09/17/2021 13:03:11 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360018796912-What-is-the-difference-between-Stellar-and-lumens-`\n",
            "09/17/2021 13:03:11 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360019105431-Stellar-transaction-fees`\n",
            "09/17/2021 13:03:12 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/115003652583-How-do-I-backup-my-ether-wallet-Is-my-ether-backed-up-with-my-bitcoin-Do-I-need-to-do-any-other-backup-security-steps-`\n",
            "09/17/2021 13:03:12 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360045724832-Why-do-I-need-ETH-to-send-USDT-`\n",
            "09/17/2021 13:03:12 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360027492092-Why-do-I-need-ETH-to-send-Paxos-Standard-previously-USD-Digital-`\n",
            "09/17/2021 13:03:13 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/115005883486-Is-my-bitcoin-cash-backed-up-by-my-recovery-phrase-`\n",
            "09/17/2021 13:03:13 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/sections/360009490991-Algorand-FAQ`\n",
            "09/17/2021 13:03:14 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360040777891-USD-Digital-is-now-Paxos-Standard`\n",
            "09/17/2021 13:03:14 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360000951966-Public-and-private-keys`\n",
            "09/17/2021 13:03:15 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/211159143-Who-created-Bitcoin-`\n",
            "09/17/2021 13:03:15 - INFO - __main__ -   writing contents from `https://support.blockchain.com/hc/en-us/articles/360000939903-Transaction-fees`\n",
            "09/17/2021 13:03:16 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Cryptocurrency`\n",
            "09/17/2021 13:03:18 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Strong_cryptography`\n",
            "09/17/2021 13:03:18 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Decentralization`\n",
            "09/17/2021 13:03:20 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Central_bank_digital_currency`\n",
            "09/17/2021 13:03:22 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Distributed_ledger`\n",
            "09/17/2021 13:03:22 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Blockchain`\n",
            "09/17/2021 13:03:25 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Proof_of_work`\n",
            "09/17/2021 13:03:26 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Proof_of_stake`\n",
            "09/17/2021 13:03:26 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Decentralized_application`\n",
            "09/17/2021 13:03:28 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Smart_contract`\n",
            "09/17/2021 13:03:29 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Fungibility`\n",
            "09/17/2021 13:03:29 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Non-fungible_token`\n",
            "09/17/2021 13:03:31 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Satoshi_Nakamoto`\n",
            "09/17/2021 13:03:32 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Bitcoin_network#Mining`\n",
            "09/17/2021 13:03:33 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Peer-to-peer`\n",
            "09/17/2021 13:03:34 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Cryptocurrency_wallet`\n",
            "09/17/2021 13:03:35 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Public-key_cryptography`\n",
            "09/17/2021 13:03:36 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Cryptocurrency_exchange`\n",
            "09/17/2021 13:03:37 - INFO - __main__ -   writing contents from `https://en.wikipedia.org/wiki/Binance`\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UTSiJwiB95_0"
      },
      "source": [
        "##Retriever and Pipeline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uTNxIz2rGa_b"
      },
      "source": [
        "This function creates the Retriever and the pipeline.\n",
        "The Joined Retriever delivers the best performance for our QA-system. It uses a BM25 ElasticsearchRetriever as well as a Dense Passage Retriever and joins their results [13]. \n",
        "\n",
        "Haystack allows the customization of the pipeline by adding nodes [14].\n",
        "First the Elasticsearch Retriever and the Dense Passage Retriever were added. Following, the JoinDocument node was added to combine the results of both retrievers. As the last step the Reader was added to the pipeline. The reader generates the answers from the retrieved documents."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o5E-JWsTj9Am"
      },
      "source": [
        "from haystack.pipeline import Pipeline, JoinDocuments\n",
        "from haystack.retriever import DensePassageRetriever\n",
        "\n",
        "def initRetrieverAndPipeline():\n",
        "\n",
        "  es_retriever = ElasticsearchRetriever(document_store=document_store)\n",
        "  \n",
        "  dpr_retriever = DensePassageRetriever(document_store=document_store,\n",
        "                                  query_embedding_model=\"facebook/dpr-question_encoder-single-nq-base\",\n",
        "                                  passage_embedding_model=\"facebook/dpr-ctx_encoder-single-nq-base\",\n",
        "                                  max_seq_len_query=64,\n",
        "                                  max_seq_len_passage=256,\n",
        "                                  batch_size=16,\n",
        "                                  use_gpu=True,\n",
        "                                  embed_title=True,\n",
        "                                  use_fast_tokenizers=True)\n",
        "\n",
        "  #Creating the embeddings for the Dense Passage Retriever \n",
        "  document_store.update_embeddings(dpr_retriever)\n",
        "\n",
        "  p = Pipeline()\n",
        "  p.add_node(component=es_retriever, name=\"ESRetriever\", inputs=[\"Query\"])\n",
        "  p.add_node(component=dpr_retriever, name=\"DPRRetriever\", inputs=[\"Query\"])\n",
        "  p.add_node(component=JoinDocuments(join_mode=\"concatenate\"), name=\"JoinResults\", inputs=[\"ESRetriever\", \"DPRRetriever\"])\n",
        "  p.add_node(component=reader, name=\"QAReader\", inputs=[\"JoinResults\"])\n",
        "\n",
        "  return p"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eh3FUe2430Ip"
      },
      "source": [
        "When the Webcrawler returns the dictionary based on the documents,\n",
        "before creating the pipeline, the text from the dictionary needs to be pre-processed and saved to the document-store.\n",
        "Afterwards the Retriever and the pipeline can be created, as the retrievers require the document store."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nndkEd5p1vbd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 823,
          "referenced_widgets": [
            "ea72cdd96ae7484aaee4572f7f435572",
            "86a7f9863c7943f1bdbb6e88d4d1587c",
            "ca9e4cecc6524b95aded2ce8a627fd61",
            "12e8267f5603478e99ee132e54a6619a",
            "62349e877e5c49978b07c91d04f4ab55",
            "21e4ea1138b9486bbc36deeb2855e44e",
            "dd0a69697fff42bdaea2fd6f5c05203a",
            "51918f498f05408a949a6659435dd0e6",
            "b6b99dc9a74e4b47a046f3e9e197a65f",
            "a5fe6834912e4b98b901c0064211e511",
            "2d55b4e9c7b549438545c27306cde0de",
            "3cf3a6dbbca54e62ada3fb2a4e4832bb",
            "ad42d0fe1a4e4ab2b6c6346b2c31ae4a",
            "a3c9cc73e5cd4088acae955bc9e39c1b",
            "634e13a91d9042dc8d17cbe08f8ae216",
            "99d982a6d24945c89d02b5fe9f71387a",
            "cf2bacfea8064ff5bc550c84b02b3a58",
            "a38932c313c24578beaccf8c6218af2e",
            "f56c6ded4d214625b6a1819eb916def5",
            "7812f19bcb634e7d9338a04f0cfa4a92",
            "9e6daa3ae2884b91b5cadfff212b9cf6",
            "8cc58e0554c245958b14e1051183f11f",
            "c08a783185bb4149b0dcd95be02f6a66",
            "f3e4dcb899b74970a032871b9e930f79",
            "273d422540e34ec5a670e6b69d2a4c52",
            "f482b36b9b2a4900922a749a5f883eb7",
            "ea5634a6ad0048f09d9559c3363fd665",
            "529d0cde3f634c9bb02707c8630662fc",
            "b4caa62a832d4dc3b4dade6d8313695c",
            "b896175e718c40f29cdd57d2c09d27bb",
            "a9197946387942a9adef04f7e5d5c4f0",
            "b7d3c3213fe643e1989c31be28bdf91c",
            "f717daf44ef74a0eb9a354d8251d95be",
            "4a1f843258074f399f6b548dcb6b0f3e",
            "59c36c5527c84cd7ac5e1cf3913d3582",
            "b40ea7567fa7475688323da676b5f8e7",
            "0b4499501f894b8eb5e36d15fc461881",
            "a1d56b9401e742c99b35fe093f479cb5",
            "03f1e27385274858baabe4d5e31d40a0",
            "1bb1c2308baf47a6b2f31348fa8035de",
            "d53e35e0934a4ad18c5f47634f99e54c",
            "111b39fa701c4245b8db7d6c2dfbea8e",
            "f85ddb847b614bd2a20b50aee605bf7d",
            "8c0ddfca78ad437a8d404bc0e6dd3fbb",
            "9f648a28c85d4696ac39d7ec928b1221",
            "d96d9a57a2d44a0da6c39e98be3cdd1d",
            "449966b08381449bbc44f81b5d5264a4",
            "48dbe9d51e62474996b06dfd55ac5565",
            "4768bc920ca2445e96030332689912be",
            "60aa187e5a5f4d7daccf5043a00f0a3a",
            "0ec7b95dc18f4606857aba39ec6e0aef",
            "9b981ab4324f4ad38428692ec4d847bb",
            "e1fab7cb4ace4ef9926c33b5d68a5d9b",
            "1cdc977c373548c2939930b9cb5f7b60",
            "91f8bfb71e43473abc025ecbda4088cb",
            "57a8cc9d64c243a69378329d3153f42b",
            "a98d9c15543546dfa171303b05ff951a",
            "fa372e729d3b4be0a428cbfe603d19dc",
            "2c5f2e26eeb44953bd30aaceee7301d8",
            "03ad9c54b4c541c780733516a9f2a512",
            "a449565353e348759b3a131418a0a2cf",
            "1e3ab24315e64f33b5e2faaf0473e86d",
            "39790cd5116c441480298dad60fee7b3",
            "e7edaadc62294e7682aade00f998e48a",
            "558b43cdf34a4e6b87fefdee47430a24",
            "2a53332f93b74a2e8468c0bc9afe5773",
            "e94af3cac2df430fa7a7708398e043ac",
            "acdd420b0ac84e0b8fca6241b90f31ba",
            "c6c992e0eb4d47bbaba6a4741da38e08",
            "44eb02fa875c490bba02ce739139f94e",
            "330d82674b414ea2930d1b00eb99278c",
            "63b7631ffade4735800020bb7effda58",
            "ccfbb2a0403d4061b633228bd0df8851",
            "9cce83fe11b94258931b9a433e46db5d",
            "688289bb22ad4588933a37f46dbb7750",
            "b6a9ef2a323943aeb92368bd4217c458",
            "4d5c566fdde64b649a56537d62c2950e",
            "a28e3fb75c8b47bf808aebb32497e291",
            "bc6bd3b146724e59bf2419d4c31c7e94",
            "a050a0e26f9d4356893a923888ebf3b1",
            "bfd00f3abf9d41c7bc779dbefef4229d",
            "460af7fa437b40039bc88755bf5874a6",
            "7df7dd2249334b8b91ee47f06beac118",
            "867c251589f34ff184e16eec11af8b2b",
            "e27bac1820784040b0a7ff9b0e053b7b",
            "ff41d6b547cd4d5aa3b3750de5678a57",
            "a0edb03fc6a6449882cc43a28a504ecd",
            "906fc5d4ea094f76a24cac47b557cd7e",
            "9de1ef0b4f5143bda5a61a4a1097fa53",
            "bf68d130efb447d1806ecb20d09ff938",
            "8868c842d26e44b9bba38946c0773d4c",
            "142c74a088764b02b538f9f81308a6f5",
            "f6e9e7df5c6247568ae6b18aaa76eb32",
            "88e2983bcbdd4e08b3789d115df5a828",
            "1640e86710a64060815d919a8e836511",
            "3ad461b532ef41be93a4f25a8254add9",
            "3bf512620dbb460d97bcddff2b90d66b",
            "741bcf26cf774adaa829eb4b763fc903",
            "0810cf0e63b5459185fd2bf9531ab16b",
            "0110188ca06346a896c84d5bc1679d9d",
            "35fb8bec63cb490fa22b3ca06e5c938b",
            "014c53a21b1242acac900b83cd81de60",
            "acc011a39e5a4ff49b82df1030fedf17",
            "81916f8f2b9d4f2daa89be06ba4e2fe4",
            "343317cab7b74f94b80e9cde514e513c",
            "667aa44de43e46ab8a277be2356ac387",
            "ffc6623d92504ea2b0be7c97451801c4",
            "483f21d284594f17b168dc797cb98194",
            "dc4edf4a8a0d45949ef4c308f3767530",
            "31c4103b9b2a4a9180360c1238e24e74",
            "f5f6c5019196407898eac01e9f383c1e",
            "217d15cec30d4989b2e2104d3d8c8ca5",
            "0c89777d4bcf4c8b9095013cde60df97",
            "c4f5e9346b09415a9935cbec2e6068c0",
            "43e271296f9347a581238e2d49786a5c",
            "9115061fea5e49f89f43f749c028d7a0",
            "a7361ece31bf4ab3956c99cc4d1a9186",
            "8298fedfb4ac445d94d4fca38d7dafc3",
            "5430bc2b2aec46b68568ec815e6b2f27",
            "2994a373a2644479ae47e0524968a662",
            "a8991e5ea7fc4c129c0a925bbd8a9474",
            "e11e9578e1d54eafac527f2b0ac72936",
            "e48cd14a728748eaac090b9dd084c18f",
            "3a68c7328e39462f941683d183a72e38",
            "29e70ab6c823429fb97ca65c25763b9c",
            "f06c6fa0cb5d4f5385eadd7ad16590f2",
            "74e0d25d95e246dfad1f92a0277f2e33",
            "ae35357467194c3988d9f4a254366125",
            "bb9cc36652a746f0af54c3d4d0001a55",
            "ee9b74aa3784492792526f0a0aa12e48",
            "f74e2ed2f54146d191ef1b1898c0d2eb",
            "ea0d0ef8d566490fae97f7e246366b5c"
          ]
        },
        "outputId": "e5a89c70-840d-4909-b19c-5c33f6589ffa"
      },
      "source": [
        "global pipe\n",
        "\n",
        "cleanedDicts =  preprocessDicts(docs)\n",
        "splitDicts = splitDictionaries(cleanedDicts)\n",
        "saveDataFromDictonaryToElasticseach(splitDicts)\n",
        "pipe = initRetrieverAndPipeline()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 13:03:38 - INFO - elasticsearch -   POST http://localhost:9200/document/_delete_by_query [status:200 request:0.101s]\n",
            "09/17/2021 13:03:42 - INFO - elasticsearch -   POST http://localhost:9200/_bulk?refresh=wait_for [status:200 request:1.398s]\n",
            "09/17/2021 13:03:43 - INFO - elasticsearch -   POST http://localhost:9200/_bulk?refresh=wait_for [status:200 request:1.099s]\n",
            "09/17/2021 13:03:43 - INFO - filelock -   Lock 140417190431632 acquired on /root/.cache/huggingface/transformers/4ad08b5f983c1384baaf257d8edf51a7a3961fd8c75a1778ac604e3c0b564dd9.d789d64ebfe299b0e416afc4a169632f903f693095b4629a7ea271d5a0cf2c99.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ea72cdd96ae7484aaee4572f7f435572",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/232k [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 13:03:43 - INFO - filelock -   Lock 140417190431632 released on /root/.cache/huggingface/transformers/4ad08b5f983c1384baaf257d8edf51a7a3961fd8c75a1778ac604e3c0b564dd9.d789d64ebfe299b0e416afc4a169632f903f693095b4629a7ea271d5a0cf2c99.lock\n",
            "09/17/2021 13:03:44 - INFO - filelock -   Lock 140417518906640 acquired on /root/.cache/huggingface/transformers/b305bc9085b3d0ce33551c251b75c11b6c6df1d4d51e5d3439d01cf4bb1abc9d.7f2721073f19841be16f41b0a70b600ca6b880c8f3df6f3535cbc704371bdfa4.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "3cf3a6dbbca54e62ada3fb2a4e4832bb",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/466k [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 13:03:44 - INFO - filelock -   Lock 140417518906640 released on /root/.cache/huggingface/transformers/b305bc9085b3d0ce33551c251b75c11b6c6df1d4d51e5d3439d01cf4bb1abc9d.7f2721073f19841be16f41b0a70b600ca6b880c8f3df6f3535cbc704371bdfa4.lock\n",
            "09/17/2021 13:03:44 - INFO - filelock -   Lock 140417190429520 acquired on /root/.cache/huggingface/transformers/d5b5f07ee846d5baa7142e121b6ee77d11ac68bd5d4541faab38a1ea76c2954a.20430bd8e10ef77a7d2977accefe796051e01bc2fc4aa146bc862997a1a15e79.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "c08a783185bb4149b0dcd95be02f6a66",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/28.0 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 13:03:45 - INFO - filelock -   Lock 140417190429520 released on /root/.cache/huggingface/transformers/d5b5f07ee846d5baa7142e121b6ee77d11ac68bd5d4541faab38a1ea76c2954a.20430bd8e10ef77a7d2977accefe796051e01bc2fc4aa146bc862997a1a15e79.lock\n",
            "09/17/2021 13:03:45 - INFO - filelock -   Lock 140417168307984 acquired on /root/.cache/huggingface/transformers/52774638a790c9ebc5ce11005b260f79cd4cc389abdab9eaa31e8f09d15b4f46.13b559f49587470ab6d85a7dde13174670a0b61c1b942d1489c96023f5d03772.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "4a1f843258074f399f6b548dcb6b0f3e",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/493 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 13:03:45 - INFO - filelock -   Lock 140417168307984 released on /root/.cache/huggingface/transformers/52774638a790c9ebc5ce11005b260f79cd4cc389abdab9eaa31e8f09d15b4f46.13b559f49587470ab6d85a7dde13174670a0b61c1b942d1489c96023f5d03772.lock\n",
            "09/17/2021 13:03:45 - INFO - filelock -   Lock 140417573386960 acquired on /root/.cache/huggingface/transformers/41dac75f5df9070331cb0e4bf318c9fdeaef38d9ffd8ca80993c7db830d0c674.446ee898f4788c3ee90f8e7ee5a50281905f509e698f76dc0b583eb74ef973bd.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "9f648a28c85d4696ac39d7ec928b1221",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/438M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 13:04:02 - INFO - filelock -   Lock 140417573386960 released on /root/.cache/huggingface/transformers/41dac75f5df9070331cb0e4bf318c9fdeaef38d9ffd8ca80993c7db830d0c674.446ee898f4788c3ee90f8e7ee5a50281905f509e698f76dc0b583eb74ef973bd.lock\n",
            "09/17/2021 13:04:03 - INFO - filelock -   Lock 140417168081872 acquired on /root/.cache/huggingface/transformers/deacb2c219c1bfe83909173f286b60d7cbfd37fc73dc8de723805ca82cabd183.d789d64ebfe299b0e416afc4a169632f903f693095b4629a7ea271d5a0cf2c99.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "57a8cc9d64c243a69378329d3153f42b",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/232k [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 13:04:04 - INFO - filelock -   Lock 140417168081872 released on /root/.cache/huggingface/transformers/deacb2c219c1bfe83909173f286b60d7cbfd37fc73dc8de723805ca82cabd183.d789d64ebfe299b0e416afc4a169632f903f693095b4629a7ea271d5a0cf2c99.lock\n",
            "09/17/2021 13:04:04 - INFO - filelock -   Lock 140417168083920 acquired on /root/.cache/huggingface/transformers/9a42d18175a45f8dcfd587d7056cbe397e0fe49828bcc543bc3f5b4d2862f7e5.7f2721073f19841be16f41b0a70b600ca6b880c8f3df6f3535cbc704371bdfa4.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e94af3cac2df430fa7a7708398e043ac",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/466k [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 13:04:04 - INFO - filelock -   Lock 140417168083920 released on /root/.cache/huggingface/transformers/9a42d18175a45f8dcfd587d7056cbe397e0fe49828bcc543bc3f5b4d2862f7e5.7f2721073f19841be16f41b0a70b600ca6b880c8f3df6f3535cbc704371bdfa4.lock\n",
            "09/17/2021 13:04:05 - INFO - filelock -   Lock 140417168083920 acquired on /root/.cache/huggingface/transformers/70b0d7ed89bb3511a323f99b7cfa4a3e0c35754fda6a3ac74c3458ca8ffb5764.20430bd8e10ef77a7d2977accefe796051e01bc2fc4aa146bc862997a1a15e79.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "a28e3fb75c8b47bf808aebb32497e291",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/28.0 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 13:04:05 - INFO - filelock -   Lock 140417168083920 released on /root/.cache/huggingface/transformers/70b0d7ed89bb3511a323f99b7cfa4a3e0c35754fda6a3ac74c3458ca8ffb5764.20430bd8e10ef77a7d2977accefe796051e01bc2fc4aa146bc862997a1a15e79.lock\n",
            "09/17/2021 13:04:05 - INFO - filelock -   Lock 140417168082000 acquired on /root/.cache/huggingface/transformers/f31ea67434695abc6c4fbe109214416d8b48a44f2fe5a0617e7faa3d6a4f8d05.be8dbf4cc0650b9c5997b3b3bc47d0d6c20749c3871e9285d3b624cd75dd9ee6.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "9de1ef0b4f5143bda5a61a4a1097fa53",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/492 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 13:04:05 - INFO - filelock -   Lock 140417168082000 released on /root/.cache/huggingface/transformers/f31ea67434695abc6c4fbe109214416d8b48a44f2fe5a0617e7faa3d6a4f8d05.be8dbf4cc0650b9c5997b3b3bc47d0d6c20749c3871e9285d3b624cd75dd9ee6.lock\n",
            "09/17/2021 13:04:05 - INFO - filelock -   Lock 140417566892816 acquired on /root/.cache/huggingface/transformers/2623d56adfe8cc7bf9275b0c620a0e271ee4004c335173bde56310dc8ea99d4f.714228ba33c6248205269978fd6d0ca0ef96508cbd4a11d894882e71d45fad7c.lock\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "0110188ca06346a896c84d5bc1679d9d",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/438M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "09/17/2021 13:04:22 - INFO - filelock -   Lock 140417566892816 released on /root/.cache/huggingface/transformers/2623d56adfe8cc7bf9275b0c620a0e271ee4004c335173bde56310dc8ea99d4f.714228ba33c6248205269978fd6d0ca0ef96508cbd4a11d894882e71d45fad7c.lock\n",
            "09/17/2021 13:04:24 - INFO - elasticsearch -   POST http://localhost:9200/document/_count [status:200 request:0.095s]\n",
            "09/17/2021 13:04:24 - INFO - haystack.document_store.elasticsearch -   Updating embeddings for all 816 docs ...\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f5f6c5019196407898eac01e9f383c1e",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Updating embeddings:   0%|          | 0/816 [00:00<?, ? Docs/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e11e9578e1d54eafac527f2b0ac72936",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Create embeddings:   0%|          | 0/816 [00:00<?, ? Docs/s]"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZaYxNsGRTFag"
      },
      "source": [
        "#Website\n",
        "\n",
        "We created our Website with the help of Anvil [15].\n",
        "\n",
        "Open this **Website** for our QA-system Crypto-Answer:\n",
        "\n",
        "\n",
        "---\n",
        "\n",
        "https://crypto-answer-il2.anvil.app/\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iInmyfJS45cz"
      },
      "source": [
        "The following command connects this Google Colab notebook to the anvil Server (our Website)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TckK0dN6lQbu"
      },
      "source": [
        "anvil.server.connect(\"O75TERSQZ3NH3S32EYMX52TH-ND325CRH3U2JZ42F\")"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n4juxVl39IdJ"
      },
      "source": [
        "##Update data Callable"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cMpl5LxD31cA"
      },
      "source": [
        "This is the method for updating the document-store content to real time data. When it is called, a new crawler is created, which crawls the documents from the links that were saved before as starting pages without further crawling.\n",
        "The preprocessing step as well as the saving to the Elasticsearch document-store needs to be repeated. Following, the pipeline needs to be renewed."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k29EMYg-K6f4"
      },
      "source": [
        "@anvil.server.callable\n",
        "def updateWebsiteData():\n",
        "    updateCrawler = Crawler(output_dir=\"updated_files\")\n",
        "    updatedDocs = updateCrawler.crawl(urls=urlsUpdate,\n",
        "                        overwrite_existing_files= True,\n",
        "                        crawler_depth= 0,\n",
        "                        output_dir=\"updated_files\")\n",
        "    cleanedDicts =  preprocessDicts(updatedDocs)\n",
        "    splitDicts = splitDictionaries(cleanedDicts)\n",
        "    saveDataFromDictonaryToElasticseach(splitDicts)\n",
        "    pipe = initRetrieverAndPipeline()\n",
        "    return True\n",
        "\n",
        "\n",
        "#updateWebsiteData() # -> for testing in Google Colab"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cPyZ9rPqM5VJ"
      },
      "source": [
        "##Question Callable"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l2uUavZXCHf1"
      },
      "source": [
        "This Callable runs the pipeline to generate the predictions for the given question.\n",
        "\n",
        "You can change the top_k values for the Retriever and Reader.\n",
        "Higher values mean, that the prediction will be slower!"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tM6cfJigkL0G"
      },
      "source": [
        "import json\n",
        "\n",
        "@anvil.server.callable\n",
        "def prediction(question):\n",
        "  prediction = pipe.run(query=question, params={\"ESRetriever\": {\"top_k\": 1}, \"DPRRetriever\": {\"top_k\": 3}, \"QAReader\": {\"top_k\": 4}})\n",
        "  predictionJson = json.dumps(prediction, default=lambda o: o.__dict__, sort_keys=True, indent=4)\n",
        "  return predictionJson\n",
        "\n",
        "#Alternative to using : Type in your question here: # -> for testing in Google Colab\n",
        "#question = \"What is the price of bitcoin?\"\n",
        "#print_answers(prediction(question))"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MWoFy0WX1TMo"
      },
      "source": [
        "#Resources"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Cw5SQCrgDmPM"
      },
      "source": [
        "[1] J. Hosp.(2018).*Blockchain 2.0*.FinanzBuch Verlag,Munic.\n",
        "\n",
        "[2] CoinMarketCap.(2021).*CoinMarketCap*.[Online].Available: https://coinmarketcap.com/ (zuletzt aufgerufen am 12.09.2021)\n",
        "\n",
        "[3] Deepset-ai.(2021).*Haystack*.[Online].Available: https://github.com/deepset-ai/haystack (zuletzt aufgerufen am 12.09.2021)\n",
        "\n",
        "[4] Hugging Face.(2021).*Hugging Face*.[Online].Available: https://huggingface.co/models (zuletzt aufgerufen am 12.09.2021)\n",
        "\n",
        "[5] Deepset-ai.(2021).*Annotation Tool*.[Online].Available: https://haystack.deepset.ai/docs/latest/annotationmd (zuletzt aufgerufen am 12.09.2021)\n",
        "\n",
        "[6] Deepset-ai.(2021).*DocumentStores*.[Online].Available: https://haystack.deepset.ai/usage/document-store (zuletzt aufgerufen am 12.09.2021)\n",
        "\n",
        "[7] Deepset-ai.(2021).*Module crawler*.[Online].Available: https://haystack.deepset.ai/reference/crawler (zuletzt aufgerufen am 12.09.2021)\n",
        "\n",
        "[8] deepset-ai.(2021).*crawler.py*.[Online].Available: https://github.com/deepset-ai/haystack/blob/master/haystack/connector/crawler.py (zuletzt aufgerufen am 11.09.2021)\n",
        "\n",
        "[9] deepset-ai.(2021).*preprocessor.py*.[Online].Available: https://github.com/deepset-ai/haystack/blob/master/haystack/preprocessor/preprocessor.py (zuletzt aufgerufen 12.09.2021)\n",
        "\n",
        "[10] Coinmarketcap.(2021).*Top 100 Crypto Coins by Market capitalization*.[Online].Available: https://coinmarketcap.com/coins/ (zuletzt aufgerufen am 16.09.2021)\n",
        "\n",
        "[11] Blockchain.(2020).*Cryptocurrency FAQs*.[Online].Availabe: https://support.blockchain.com/hc/en-us/categories/201149143-Cryptocurrency-FAQs (zuletzt aufgerufen am 12.09.2021)\n",
        "\n",
        "[12] Wikipedia.(2021).*Cryptocurrency*.[Online].Available: https://en.wikipedia.org/wiki/Cryptocurrency (zuletzt aufgerufen am 12.9.2021)\n",
        "\n",
        "[13] Deepset-ai.(2021).*Pipelines Tutorial*.[Online].Availabe: https://haystack.deepset.ai/tutorials/pipelines (zuletzt aufgerufen am 14.9.2021)\n",
        "\n",
        "[14] Deepset-ai.(2021).*Module Pipeline*.[Online].Availabe: https://haystack.deepset.ai/reference/pipelines (zuletzt aufgerufen am 15.9.2021)\n",
        "\n",
        "[15] Anvil.(2020).*Tutorials*.[Online].Available: https://anvil.works/learn/tutorials (zuletzt aufgerufen am 12.9.2021)\n",
        "\n",
        "\n",
        "\n"
      ]
    }
  ]
}