Camels_CKA_Temp.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "mount_file_id": "1mq8pFBBxR0F8GjIpixixZS90wPEGIQ8b",
      "authorship_tag": "ABX9TyNqai6hEOj+UBaxf1L/axm2",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "75c03844396e4602a6e2428d3eebac6f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_9822a2b4463f48fda0cc0aad36267fa1",
              "IPY_MODEL_d701bd57ad424b119a75f0a9ce0be440",
              "IPY_MODEL_b4db4d4c23a2455bbe62de55603ed1f8"
            ],
            "layout": "IPY_MODEL_2b63c3ee4efd489d9305df3549023811"
          }
        },
        "9822a2b4463f48fda0cc0aad36267fa1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_45dddef2efb64522b664ea07c8e14275",
            "placeholder": "​",
            "style": "IPY_MODEL_9488043954d746c19311dca46d7abcac",
            "value": "100%"
          }
        },
        "d701bd57ad424b119a75f0a9ce0be440": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_7c0d92b8ca684d0184da7785e1fa0d1a",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_22d01818f2d64571bd681db8fb540c2e",
            "value": 21
          }
        },
        "b4db4d4c23a2455bbe62de55603ed1f8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_a5ea81b2f9dc461881ab49e5b234df13",
            "placeholder": "​",
            "style": "IPY_MODEL_90c380c4ae3247aa8dda7212d1c920ab",
            "value": " 21/21 [00:29&lt;00:00,  1.31it/s]"
          }
        },
        "2b63c3ee4efd489d9305df3549023811": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "45dddef2efb64522b664ea07c8e14275": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "9488043954d746c19311dca46d7abcac": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "7c0d92b8ca684d0184da7785e1fa0d1a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "22d01818f2d64571bd681db8fb540c2e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "a5ea81b2f9dc461881ab49e5b234df13": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "90c380c4ae3247aa8dda7212d1c920ab": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "d320c41022f049d28eaa6ce5b90ceacb": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_f89f4b8c6aef459aad2c425cecbd37ab",
              "IPY_MODEL_7cf0c5c885df45ecab232c8689d9d436",
              "IPY_MODEL_bb1d0d036b094006b7b64b35daef37a8"
            ],
            "layout": "IPY_MODEL_c0ea235b6a534e989e85e7b1904b9ba9"
          }
        },
        "f89f4b8c6aef459aad2c425cecbd37ab": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_686ba271297b46be882dc68e63384f6e",
            "placeholder": "​",
            "style": "IPY_MODEL_d5d8738f707a4c27b6712466d329e9a1",
            "value": "100%"
          }
        },
        "7cf0c5c885df45ecab232c8689d9d436": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e9b75c82d492406db6465628f2fb944c",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_9c59f8286241420a988bfbe78283ef2d",
            "value": 21
          }
        },
        "bb1d0d036b094006b7b64b35daef37a8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_4f57f0c4187f4d03aaaf7f31ce75f25d",
            "placeholder": "​",
            "style": "IPY_MODEL_7a80018a0b8841bdaec668631b1bf1df",
            "value": " 21/21 [00:03&lt;00:00,  7.58it/s]"
          }
        },
        "c0ea235b6a534e989e85e7b1904b9ba9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "686ba271297b46be882dc68e63384f6e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d5d8738f707a4c27b6712466d329e9a1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "e9b75c82d492406db6465628f2fb944c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "9c59f8286241420a988bfbe78283ef2d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "4f57f0c4187f4d03aaaf7f31ce75f25d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "7a80018a0b8841bdaec668631b1bf1df": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "96e0cb337b8a4851b2457d196709fa3f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_d794cc3c193c42e9ad2aec61d2b5ed90",
              "IPY_MODEL_6a649946a8ae424ba1b5df912370a93c",
              "IPY_MODEL_a257d161c42e4f119d4cd30bf5882b63"
            ],
            "layout": "IPY_MODEL_570ed6f78a0f446295863292c34ca1ac"
          }
        },
        "d794cc3c193c42e9ad2aec61d2b5ed90": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_fbfd90fec5ca4948ba0498be05b75ded",
            "placeholder": "​",
            "style": "IPY_MODEL_711c1afd2f8f4b26b2c3cfa2c82f2efb",
            "value": "100%"
          }
        },
        "6a649946a8ae424ba1b5df912370a93c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b11d12a3b06f47939ffcfe3ab7f2980a",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_a5507b092e5946738cbe5bc32ffe482e",
            "value": 21
          }
        },
        "a257d161c42e4f119d4cd30bf5882b63": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_640a64e45ce6452fa0af4efb694f11bc",
            "placeholder": "​",
            "style": "IPY_MODEL_6695884c613a42b88cd74bc7d3d1984c",
            "value": " 21/21 [00:04&lt;00:00,  5.37it/s]"
          }
        },
        "570ed6f78a0f446295863292c34ca1ac": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "fbfd90fec5ca4948ba0498be05b75ded": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "711c1afd2f8f4b26b2c3cfa2c82f2efb": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "b11d12a3b06f47939ffcfe3ab7f2980a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a5507b092e5946738cbe5bc32ffe482e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "640a64e45ce6452fa0af4efb694f11bc": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "6695884c613a42b88cd74bc7d3d1984c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "9bce6408d83b4586a1eea414c1da68f3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_76180e90660a4570b64b9adf386f881f",
              "IPY_MODEL_c57802af821b45d1a07a5fb9e5ec6d75",
              "IPY_MODEL_69f9f351bc494728ad41672976f6dc24"
            ],
            "layout": "IPY_MODEL_17b88c8d751c456a89408b8e6c28b6f9"
          }
        },
        "76180e90660a4570b64b9adf386f881f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_0e39ce2a85fd47f49ede6eb360697076",
            "placeholder": "​",
            "style": "IPY_MODEL_5f6ec9777d6c492cb5ccf7108b8307fc",
            "value": "100%"
          }
        },
        "c57802af821b45d1a07a5fb9e5ec6d75": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_0ff837394ded4580a63fce9dd4edf460",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_b65e2d88808d4abcb754df07f2e323e6",
            "value": 21
          }
        },
        "69f9f351bc494728ad41672976f6dc24": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_d0eb9dff6fac4c9a8dc1f18f25f42046",
            "placeholder": "​",
            "style": "IPY_MODEL_90173fac741743e4bc23db4a3d99b192",
            "value": " 21/21 [00:01&lt;00:00, 19.94it/s]"
          }
        },
        "17b88c8d751c456a89408b8e6c28b6f9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "0e39ce2a85fd47f49ede6eb360697076": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "5f6ec9777d6c492cb5ccf7108b8307fc": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "0ff837394ded4580a63fce9dd4edf460": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b65e2d88808d4abcb754df07f2e323e6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "d0eb9dff6fac4c9a8dc1f18f25f42046": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "90173fac741743e4bc23db4a3d99b192": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "b31b32a9f960498cb5e2fd0c6adc11ec": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_0901c44eae5741a98c7c35dd15e93092",
              "IPY_MODEL_94c4cae05e58424aa6c0a51f97e0d9e9",
              "IPY_MODEL_d8e3bed879dd47dcb36a55bdfa3a8a04"
            ],
            "layout": "IPY_MODEL_ef2092201ff94dc28e1eef64699d5c28"
          }
        },
        "0901c44eae5741a98c7c35dd15e93092": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_fcd444e740744e84810cbb1cb8dd5cc2",
            "placeholder": "​",
            "style": "IPY_MODEL_ba56576521984c30a841435b3028658d",
            "value": "100%"
          }
        },
        "94c4cae05e58424aa6c0a51f97e0d9e9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e4fdc47e643846c5884e452819d1692e",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_603ae461174f487abaf75816551267a3",
            "value": 21
          }
        },
        "d8e3bed879dd47dcb36a55bdfa3a8a04": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_79c8720c910942769c1804aebfb9fba5",
            "placeholder": "​",
            "style": "IPY_MODEL_5bb489c62bc04f67af03e5a002173b8c",
            "value": " 21/21 [00:01&lt;00:00, 13.74it/s]"
          }
        },
        "ef2092201ff94dc28e1eef64699d5c28": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "fcd444e740744e84810cbb1cb8dd5cc2": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ba56576521984c30a841435b3028658d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "e4fdc47e643846c5884e452819d1692e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "603ae461174f487abaf75816551267a3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "79c8720c910942769c1804aebfb9fba5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "5bb489c62bc04f67af03e5a002173b8c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "01ca0758b3544f3fb23de33e4d535607": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_14833694227f47efb4b2257d3b9ca8b5",
              "IPY_MODEL_d0ee5306ba7347aaa9b970d703489f93",
              "IPY_MODEL_77a15d107c794ca9b1632ebc589efb2e"
            ],
            "layout": "IPY_MODEL_35ccdbca6d7848c3a3f36532279c113f"
          }
        },
        "14833694227f47efb4b2257d3b9ca8b5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_d35b0fa6da2c41a9806d1d7c6f9e319a",
            "placeholder": "​",
            "style": "IPY_MODEL_5b1b2e5e0b6b434db105da21b3e74070",
            "value": "100%"
          }
        },
        "d0ee5306ba7347aaa9b970d703489f93": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_4980821748a34aed8c98dbf6f403099c",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_f40a0bb7dbf545b08223e52621d49760",
            "value": 21
          }
        },
        "77a15d107c794ca9b1632ebc589efb2e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_bcd5242fa2974cf393478c9a2326251b",
            "placeholder": "​",
            "style": "IPY_MODEL_f3c8ad86c59f4c8db65580bb3001b724",
            "value": " 21/21 [00:01&lt;00:00, 13.92it/s]"
          }
        },
        "35ccdbca6d7848c3a3f36532279c113f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d35b0fa6da2c41a9806d1d7c6f9e319a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "5b1b2e5e0b6b434db105da21b3e74070": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "4980821748a34aed8c98dbf6f403099c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "f40a0bb7dbf545b08223e52621d49760": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "bcd5242fa2974cf393478c9a2326251b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "f3c8ad86c59f4c8db65580bb3001b724": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "182901eca852486d9f739e2425774f64": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_7e0225164a7b411aae8ec501eb7e09ba",
              "IPY_MODEL_8eaa5ea0f52b4571a87ce1ff2b71996c",
              "IPY_MODEL_70c9bb6829264e7b880a849ec6cfa82d"
            ],
            "layout": "IPY_MODEL_250100fc5d004a73b4ade2a3ee4460aa"
          }
        },
        "7e0225164a7b411aae8ec501eb7e09ba": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ea97ef7f6eaf423e90146dfc712c1365",
            "placeholder": "​",
            "style": "IPY_MODEL_ec580ed7156b4f85b57818037a3004cf",
            "value": "100%"
          }
        },
        "8eaa5ea0f52b4571a87ce1ff2b71996c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_43be6f78a4df4135b6d5de31e9c8e2da",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_b1e45222bbab487b8959f5625a157f82",
            "value": 21
          }
        },
        "70c9bb6829264e7b880a849ec6cfa82d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_a35d40972bb84b04bd7d3b9f6ad00eb7",
            "placeholder": "​",
            "style": "IPY_MODEL_00408cdc05ab4beb9befcbccb4c7521a",
            "value": " 21/21 [00:00&lt;00:00, 29.55it/s]"
          }
        },
        "250100fc5d004a73b4ade2a3ee4460aa": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ea97ef7f6eaf423e90146dfc712c1365": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ec580ed7156b4f85b57818037a3004cf": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "43be6f78a4df4135b6d5de31e9c8e2da": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b1e45222bbab487b8959f5625a157f82": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "a35d40972bb84b04bd7d3b9f6ad00eb7": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "00408cdc05ab4beb9befcbccb4c7521a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "94556e56569a4b12969507fec2161e1b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_3e3a9c9d10d445bd84d297d2bf33e40b",
              "IPY_MODEL_e940b02a6f874bada0ee61b318048a9f",
              "IPY_MODEL_a5a717850a5645b58320ac7d947d032a"
            ],
            "layout": "IPY_MODEL_1354f2a794c14a7b93f7dd4a42f9d0d9"
          }
        },
        "3e3a9c9d10d445bd84d297d2bf33e40b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e4db191fa6b84e7a89161d491f7fc190",
            "placeholder": "​",
            "style": "IPY_MODEL_8dde8257720d40e7b09d806d75a1a9bf",
            "value": "100%"
          }
        },
        "e940b02a6f874bada0ee61b318048a9f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_13e88525d0a244309f253c4de12ce42a",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_d725748c373047b6921ca8b8c336b81b",
            "value": 21
          }
        },
        "a5a717850a5645b58320ac7d947d032a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_bc24caa31eeb4ebe97976164f175457c",
            "placeholder": "​",
            "style": "IPY_MODEL_c0d4173913704677b4888d037d1c5715",
            "value": " 21/21 [00:01&lt;00:00, 21.82it/s]"
          }
        },
        "1354f2a794c14a7b93f7dd4a42f9d0d9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e4db191fa6b84e7a89161d491f7fc190": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "8dde8257720d40e7b09d806d75a1a9bf": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "13e88525d0a244309f253c4de12ce42a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d725748c373047b6921ca8b8c336b81b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "bc24caa31eeb4ebe97976164f175457c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "c0d4173913704677b4888d037d1c5715": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "1145d24eb295418c912b4ef6168c0db6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_427cb156999d4839825d5793017f31c4",
              "IPY_MODEL_be37c15d47ad4a7381b10e36e2c1fbe1",
              "IPY_MODEL_fbbca615e57642bcafe439abbb126c31"
            ],
            "layout": "IPY_MODEL_52f76481209b449d94b16d2123908a73"
          }
        },
        "427cb156999d4839825d5793017f31c4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1babef7d7fc54eef8c8c52e2b1c0b52d",
            "placeholder": "​",
            "style": "IPY_MODEL_d2e6a0272b8d48fba241f753ab349ce5",
            "value": "100%"
          }
        },
        "be37c15d47ad4a7381b10e36e2c1fbe1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_caf81a3609be4c38a5e8521f7016901d",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_5f8f5107ba5c47508df7db607f7a0abc",
            "value": 21
          }
        },
        "fbbca615e57642bcafe439abbb126c31": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_0821321fa92c46d4a79f8ca7f74f47a9",
            "placeholder": "​",
            "style": "IPY_MODEL_948b6b4d06c64f01b7aab687067e3379",
            "value": " 21/21 [00:01&lt;00:00, 21.92it/s]"
          }
        },
        "52f76481209b449d94b16d2123908a73": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1babef7d7fc54eef8c8c52e2b1c0b52d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d2e6a0272b8d48fba241f753ab349ce5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "caf81a3609be4c38a5e8521f7016901d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "5f8f5107ba5c47508df7db607f7a0abc": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "0821321fa92c46d4a79f8ca7f74f47a9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "948b6b4d06c64f01b7aab687067e3379": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "aebae2ec77cf4196945c5e5b9f221d78": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_ec463e536eda4ec7b9db59cc521265e9",
              "IPY_MODEL_3130b695edf946539843af0b207b2ff0",
              "IPY_MODEL_c8867510541543caa5be40d4a6e321ad"
            ],
            "layout": "IPY_MODEL_dfb044830d3c400cb8937b9931f43620"
          }
        },
        "ec463e536eda4ec7b9db59cc521265e9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_3596d14a3d034c039da3a90dd4bb800e",
            "placeholder": "​",
            "style": "IPY_MODEL_c3933c3a265447e3860624d9b66d9455",
            "value": "100%"
          }
        },
        "3130b695edf946539843af0b207b2ff0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e49341cd29aa4586b2dab43d13222050",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_f20f059f32224d75b7387106a360ab7e",
            "value": 21
          }
        },
        "c8867510541543caa5be40d4a6e321ad": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_f28c03ee4dc04c0286a858033bd91b87",
            "placeholder": "​",
            "style": "IPY_MODEL_a0fe5f27c4eb45e18e1235354bd94cb4",
            "value": " 21/21 [00:00&lt;00:00, 26.57it/s]"
          }
        },
        "dfb044830d3c400cb8937b9931f43620": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "3596d14a3d034c039da3a90dd4bb800e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "c3933c3a265447e3860624d9b66d9455": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "e49341cd29aa4586b2dab43d13222050": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "f20f059f32224d75b7387106a360ab7e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "f28c03ee4dc04c0286a858033bd91b87": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a0fe5f27c4eb45e18e1235354bd94cb4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "8df21e0518524b40811d8df31f973159": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_4ac8e459319e4eceaae111c6b8e93d67",
              "IPY_MODEL_a992a53fa0444aa2b60e89ab8eb056a0",
              "IPY_MODEL_85270085c1054034bd9cef5b1f6b9c4c"
            ],
            "layout": "IPY_MODEL_cd80286e9b8d45f1a12b06aba1f001bc"
          }
        },
        "4ac8e459319e4eceaae111c6b8e93d67": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_199bcaa4d76d470087ae0b15821cfdf9",
            "placeholder": "​",
            "style": "IPY_MODEL_f7bc901e47de48d3b85d2ef0d6d13594",
            "value": "100%"
          }
        },
        "a992a53fa0444aa2b60e89ab8eb056a0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_d2721cc82c34479fb3574b0de5532370",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_9fbe124ca0e24a64a8dc177c75421ede",
            "value": 21
          }
        },
        "85270085c1054034bd9cef5b1f6b9c4c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_cd3a3a833eaf49169d7ad07cb77dc9ea",
            "placeholder": "​",
            "style": "IPY_MODEL_1a2841257d20476d838088d2290b37ba",
            "value": " 21/21 [00:01&lt;00:00, 30.40it/s]"
          }
        },
        "cd80286e9b8d45f1a12b06aba1f001bc": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "199bcaa4d76d470087ae0b15821cfdf9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "f7bc901e47de48d3b85d2ef0d6d13594": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "d2721cc82c34479fb3574b0de5532370": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "9fbe124ca0e24a64a8dc177c75421ede": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "cd3a3a833eaf49169d7ad07cb77dc9ea": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1a2841257d20476d838088d2290b37ba": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "11605f8fff7048229e60377fbc02f83d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_f4316452c7ff448781fc6a9efc3e1cd2",
              "IPY_MODEL_5db9e61604904ef4be11a62b0c6f645f",
              "IPY_MODEL_d43cf4463ec841b49f61b61eccc41153"
            ],
            "layout": "IPY_MODEL_f2e1291c12d34fc39a1ffc8fa46b4b1b"
          }
        },
        "f4316452c7ff448781fc6a9efc3e1cd2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_7b9d5106b4ef4fafa27793930ec241ed",
            "placeholder": "​",
            "style": "IPY_MODEL_53b1f48ae5a24368a05e18e00565e8a2",
            "value": "100%"
          }
        },
        "5db9e61604904ef4be11a62b0c6f645f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_8d2c9c34e7d845efb9793d694d9d5df4",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_6ff017e101d545a9a9cebc866b2cae01",
            "value": 21
          }
        },
        "d43cf4463ec841b49f61b61eccc41153": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e93f8e08ea6342c780488980db9e66cb",
            "placeholder": "​",
            "style": "IPY_MODEL_1d015c9ebd6b42b8ae75c5290b57dbf1",
            "value": " 21/21 [00:01&lt;00:00, 21.71it/s]"
          }
        },
        "f2e1291c12d34fc39a1ffc8fa46b4b1b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "7b9d5106b4ef4fafa27793930ec241ed": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "53b1f48ae5a24368a05e18e00565e8a2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "8d2c9c34e7d845efb9793d694d9d5df4": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "6ff017e101d545a9a9cebc866b2cae01": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "e93f8e08ea6342c780488980db9e66cb": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1d015c9ebd6b42b8ae75c5290b57dbf1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "f564391a5bcf408dba55e58cb0b78364": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_d1866cc8714546c7a4713e1205095c47",
              "IPY_MODEL_3bd5ac0408714b77a1325bc8d16529d5",
              "IPY_MODEL_df8b33f8f660453eb6dc6a978eb1b129"
            ],
            "layout": "IPY_MODEL_154ec5c9bbd24b979e7988171e10dcd6"
          }
        },
        "d1866cc8714546c7a4713e1205095c47": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_c046b3fb249d4552bda8b641edf23a7c",
            "placeholder": "​",
            "style": "IPY_MODEL_7c2b77379c2243c78eab00eb2216342b",
            "value": "100%"
          }
        },
        "3bd5ac0408714b77a1325bc8d16529d5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ceaa828760d547c88a50980aac1e96b9",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_d48a72a61396461aab77812c661fd733",
            "value": 21
          }
        },
        "df8b33f8f660453eb6dc6a978eb1b129": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1c0994deb00c41d0968a53d6018a945f",
            "placeholder": "​",
            "style": "IPY_MODEL_f5fbc52cdf2945bca942b5717892e6dd",
            "value": " 21/21 [00:01&lt;00:00, 30.47it/s]"
          }
        },
        "154ec5c9bbd24b979e7988171e10dcd6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "c046b3fb249d4552bda8b641edf23a7c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "7c2b77379c2243c78eab00eb2216342b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "ceaa828760d547c88a50980aac1e96b9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d48a72a61396461aab77812c661fd733": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "1c0994deb00c41d0968a53d6018a945f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "f5fbc52cdf2945bca942b5717892e6dd": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "8b3b18af4a2948f1a8cdc7875cb4395f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_6fd4482ad6dc4edfaae0fc8d77c9c271",
              "IPY_MODEL_e17fb97087074a9d9d6d2fb00ea1b57e",
              "IPY_MODEL_dd98f46236ad4295bddfb742f48a3685"
            ],
            "layout": "IPY_MODEL_b28a084b7c484d03bd1a33fee112fa61"
          }
        },
        "6fd4482ad6dc4edfaae0fc8d77c9c271": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1deac1e700d74d51908c5482c9a563f7",
            "placeholder": "​",
            "style": "IPY_MODEL_56fcafee25b24ea4b671d2c2eedb368e",
            "value": "100%"
          }
        },
        "e17fb97087074a9d9d6d2fb00ea1b57e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_5effca0420ee4a53a42cf72f268550b7",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_17c0153ff8174260873551f147313088",
            "value": 21
          }
        },
        "dd98f46236ad4295bddfb742f48a3685": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_a655adc169c14a17964d6313104ce981",
            "placeholder": "​",
            "style": "IPY_MODEL_4b3876687cb5425688e5e64b0f750d95",
            "value": " 21/21 [00:01&lt;00:00, 30.78it/s]"
          }
        },
        "b28a084b7c484d03bd1a33fee112fa61": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1deac1e700d74d51908c5482c9a563f7": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "56fcafee25b24ea4b671d2c2eedb368e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "5effca0420ee4a53a42cf72f268550b7": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "17c0153ff8174260873551f147313088": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "a655adc169c14a17964d6313104ce981": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "4b3876687cb5425688e5e64b0f750d95": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "5397633f42f6481b812ab34e0c5e209e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_48b8b7edb6d641c38c9a65bb22955fd6",
              "IPY_MODEL_d09f734cd93f4ab888e7626a4e779071",
              "IPY_MODEL_4965931a2aae49de832c12692c51ecd9"
            ],
            "layout": "IPY_MODEL_b1dfb6ff1ee34898ab619b7bf3d1d8bb"
          }
        },
        "48b8b7edb6d641c38c9a65bb22955fd6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_a3faf1655c424987a56d55a7c613eb85",
            "placeholder": "​",
            "style": "IPY_MODEL_a321374990b844eebc4d81c02a8a8ffa",
            "value": "100%"
          }
        },
        "d09f734cd93f4ab888e7626a4e779071": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_f3d87b324f8f475997bc8c4cc9a7a814",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_b921bc4708b945a6a1253fcd69ed0382",
            "value": 21
          }
        },
        "4965931a2aae49de832c12692c51ecd9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e0fa855505014f06814360a274567d21",
            "placeholder": "​",
            "style": "IPY_MODEL_1275b09ecc724e78a6fbcf084b5ad702",
            "value": " 21/21 [00:01&lt;00:00, 27.33it/s]"
          }
        },
        "b1dfb6ff1ee34898ab619b7bf3d1d8bb": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a3faf1655c424987a56d55a7c613eb85": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a321374990b844eebc4d81c02a8a8ffa": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "f3d87b324f8f475997bc8c4cc9a7a814": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b921bc4708b945a6a1253fcd69ed0382": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "e0fa855505014f06814360a274567d21": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1275b09ecc724e78a6fbcf084b5ad702": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "8129c08f8fde4c49b28ba3613942cf51": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_8c34d249f1e942cbbeb20b651e482747",
              "IPY_MODEL_f5e31ea8407f4256823b179e251aa69c",
              "IPY_MODEL_a140da05f6bc42b5a6e7e985028c6053"
            ],
            "layout": "IPY_MODEL_4715fd2afa714a76a111d777f72c4a5f"
          }
        },
        "8c34d249f1e942cbbeb20b651e482747": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_8def20d62be6415f9f2f99301c25658e",
            "placeholder": "​",
            "style": "IPY_MODEL_b15013bc12464fccb32cadfd2f062d88",
            "value": "100%"
          }
        },
        "f5e31ea8407f4256823b179e251aa69c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_145032c8b35942958b829d3a1ac90b6c",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_43b2a73504de4f5284048e07fcf11a07",
            "value": 21
          }
        },
        "a140da05f6bc42b5a6e7e985028c6053": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_545a8f89a90d4cc891a0a9b5a4ce340b",
            "placeholder": "​",
            "style": "IPY_MODEL_82c3a25e2f29483a8cb603a385a50a84",
            "value": " 21/21 [00:01&lt;00:00, 27.40it/s]"
          }
        },
        "4715fd2afa714a76a111d777f72c4a5f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "8def20d62be6415f9f2f99301c25658e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b15013bc12464fccb32cadfd2f062d88": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "145032c8b35942958b829d3a1ac90b6c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "43b2a73504de4f5284048e07fcf11a07": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "545a8f89a90d4cc891a0a9b5a4ce340b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "82c3a25e2f29483a8cb603a385a50a84": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "65e1eee16fa2459ea3e75d9d0ab9ee50": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_a0222f9bd8344b89a50a6c5de8ef6e00",
              "IPY_MODEL_f504171a1f7f46f5a5e842aa669086ea",
              "IPY_MODEL_04cd16c0ae004ba2b8383200add29819"
            ],
            "layout": "IPY_MODEL_e48e06c56c99459f8aab6bf0f642498e"
          }
        },
        "a0222f9bd8344b89a50a6c5de8ef6e00": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b27dfbc37f4c49b68be5c73984affc6d",
            "placeholder": "​",
            "style": "IPY_MODEL_199cda67f18247ffa2c54153f7224a2c",
            "value": "100%"
          }
        },
        "f504171a1f7f46f5a5e842aa669086ea": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_61845938bec34109a3b9b8e10404b977",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_df98c6ff999f4f63945a74199eb6dafa",
            "value": 21
          }
        },
        "04cd16c0ae004ba2b8383200add29819": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_a828b9b742544a27965bb0168743dd08",
            "placeholder": "​",
            "style": "IPY_MODEL_2ea90dd4ec9442f09156a801a02ad943",
            "value": " 21/21 [00:00&lt;00:00, 24.56it/s]"
          }
        },
        "e48e06c56c99459f8aab6bf0f642498e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b27dfbc37f4c49b68be5c73984affc6d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "199cda67f18247ffa2c54153f7224a2c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "61845938bec34109a3b9b8e10404b977": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "df98c6ff999f4f63945a74199eb6dafa": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "a828b9b742544a27965bb0168743dd08": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "2ea90dd4ec9442f09156a801a02ad943": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "cbb32139b4904006b26b166f0ec9b013": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_20ce9316be6040eb9f61af677b6409c7",
              "IPY_MODEL_635a2f23944a46519d1ef3489d43e10f",
              "IPY_MODEL_03f88b64229c415dba286c92ecad4d9e"
            ],
            "layout": "IPY_MODEL_ce4da3e9777b45c4badc34cb53de290d"
          }
        },
        "20ce9316be6040eb9f61af677b6409c7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_4bb0efa3067340b19662b76a71dfeca6",
            "placeholder": "​",
            "style": "IPY_MODEL_da5dcc9946c244d595cefa0b94469f96",
            "value": "100%"
          }
        },
        "635a2f23944a46519d1ef3489d43e10f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_225393e3740748a6adca95f70ac72a1f",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_f02097e17aff4dee8df8650555388195",
            "value": 21
          }
        },
        "03f88b64229c415dba286c92ecad4d9e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_59c21625483545c185b627e0dd43c9d1",
            "placeholder": "​",
            "style": "IPY_MODEL_a2bc4bdabde648e893856fbdff1f15c1",
            "value": " 21/21 [00:00&lt;00:00, 25.03it/s]"
          }
        },
        "ce4da3e9777b45c4badc34cb53de290d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "4bb0efa3067340b19662b76a71dfeca6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "da5dcc9946c244d595cefa0b94469f96": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "225393e3740748a6adca95f70ac72a1f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "f02097e17aff4dee8df8650555388195": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "59c21625483545c185b627e0dd43c9d1": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a2bc4bdabde648e893856fbdff1f15c1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "a340279128e640e0b9d91af43362f3cd": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_ca3e7aca1c6f4d7b8c8dc3984656c53d",
              "IPY_MODEL_cee37acbed684c24b8ae05931f8b171f",
              "IPY_MODEL_ac66d2961e7d4d1f82851b73e53f46e5"
            ],
            "layout": "IPY_MODEL_d6877616b17b438c89665a28824d37d9"
          }
        },
        "ca3e7aca1c6f4d7b8c8dc3984656c53d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_738ead514f5c4f878a7d27f7fa3b5bae",
            "placeholder": "​",
            "style": "IPY_MODEL_b747060c955e4d6b84a27e242cdfb153",
            "value": "100%"
          }
        },
        "cee37acbed684c24b8ae05931f8b171f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_7ee31cf8ea634471b7fe5fc1a06a04f8",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_2ce6289506a94484a14784300aa03317",
            "value": 21
          }
        },
        "ac66d2961e7d4d1f82851b73e53f46e5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_454abd9c837d4459bc245ecd15d078ef",
            "placeholder": "​",
            "style": "IPY_MODEL_2c038daf5e4c4b3eaffeab59c5edeab2",
            "value": " 21/21 [00:00&lt;00:00, 28.68it/s]"
          }
        },
        "d6877616b17b438c89665a28824d37d9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "738ead514f5c4f878a7d27f7fa3b5bae": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b747060c955e4d6b84a27e242cdfb153": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "7ee31cf8ea634471b7fe5fc1a06a04f8": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "2ce6289506a94484a14784300aa03317": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "454abd9c837d4459bc245ecd15d078ef": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "2c038daf5e4c4b3eaffeab59c5edeab2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "f6666d70aa2e4f238f07a0bf1c51da1a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_48430cb569b34f86a3ca81824638f8c9",
              "IPY_MODEL_0099061eb17649d28a61d57d58b153a2",
              "IPY_MODEL_324bdfea71134e289bda8b348223199a"
            ],
            "layout": "IPY_MODEL_319b7224465640039722649f12a5ba43"
          }
        },
        "48430cb569b34f86a3ca81824638f8c9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_d4b3b167b527415dbdb10365475fc5eb",
            "placeholder": "​",
            "style": "IPY_MODEL_a37c747443b84ec2a0fb57caf920963e",
            "value": "100%"
          }
        },
        "0099061eb17649d28a61d57d58b153a2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_c4dca9f5befb49bf94086aa4551e2266",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_2abc485bf6f04e5fb9d699513fd92152",
            "value": 21
          }
        },
        "324bdfea71134e289bda8b348223199a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e54e61c06ada45adb16f084cc6f5ef15",
            "placeholder": "​",
            "style": "IPY_MODEL_dd03d4b3c669452c9e75c1c19c1d4ab8",
            "value": " 21/21 [00:00&lt;00:00, 28.90it/s]"
          }
        },
        "319b7224465640039722649f12a5ba43": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d4b3b167b527415dbdb10365475fc5eb": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a37c747443b84ec2a0fb57caf920963e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "c4dca9f5befb49bf94086aa4551e2266": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "2abc485bf6f04e5fb9d699513fd92152": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "e54e61c06ada45adb16f084cc6f5ef15": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "dd03d4b3c669452c9e75c1c19c1d4ab8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "a6fdac9fefcc4aeda732fe1ea72b8bb2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_b0249c3c9a06480f9406497083091d35",
              "IPY_MODEL_507d8f9c8a894416a97b0834bda0c3c6",
              "IPY_MODEL_d1b28f69d8604ac9a494533574642740"
            ],
            "layout": "IPY_MODEL_699b15cb09574f1d9869ab7fa0ee67a3"
          }
        },
        "b0249c3c9a06480f9406497083091d35": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_bcb37e00f7414be5896096b5ab0c736e",
            "placeholder": "​",
            "style": "IPY_MODEL_e8070e5bb7414fd6879fb01e77d10d96",
            "value": "100%"
          }
        },
        "507d8f9c8a894416a97b0834bda0c3c6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_7b4e194163e248eba1dd3273e36f9581",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_67836e59869e4f5a8894b05d708290ae",
            "value": 21
          }
        },
        "d1b28f69d8604ac9a494533574642740": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_9cf98bf19ce047abb8360c744c613d8d",
            "placeholder": "​",
            "style": "IPY_MODEL_fa480174de2b4c35a9a605a02ed446d1",
            "value": " 21/21 [00:00&lt;00:00, 29.45it/s]"
          }
        },
        "699b15cb09574f1d9869ab7fa0ee67a3": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "bcb37e00f7414be5896096b5ab0c736e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e8070e5bb7414fd6879fb01e77d10d96": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "7b4e194163e248eba1dd3273e36f9581": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "67836e59869e4f5a8894b05d708290ae": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "9cf98bf19ce047abb8360c744c613d8d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "fa480174de2b4c35a9a605a02ed446d1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "8f26d09064484ce9a7bd3a45f7f6fe9b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_6debe3f6bf2b4bd99a44c4f3db4c668a",
              "IPY_MODEL_edfd294181bc40999ad925ebfe13a9d5",
              "IPY_MODEL_14dc4b2cabb442f68c422c57ea60b60c"
            ],
            "layout": "IPY_MODEL_ea529f297bbd4149bcfe81439cf42e8f"
          }
        },
        "6debe3f6bf2b4bd99a44c4f3db4c668a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_988e0e358bcf4dafbbf3c4469f8696b6",
            "placeholder": "​",
            "style": "IPY_MODEL_68f101c25a9d419e9bf7743c0d46e87d",
            "value": "100%"
          }
        },
        "edfd294181bc40999ad925ebfe13a9d5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_f824a8afa73e427ab8896b6616c5483d",
            "max": 21,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_f2f82b018f08468a80134e75f8ca8e72",
            "value": 21
          }
        },
        "14dc4b2cabb442f68c422c57ea60b60c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_78954a01e5a64f16aee7ae471dfd38b3",
            "placeholder": "​",
            "style": "IPY_MODEL_1242acad7c37434fba7536730bb340ce",
            "value": " 21/21 [00:00&lt;00:00, 29.29it/s]"
          }
        },
        "ea529f297bbd4149bcfe81439cf42e8f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "988e0e358bcf4dafbbf3c4469f8696b6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "68f101c25a9d419e9bf7743c0d46e87d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "f824a8afa73e427ab8896b6616c5483d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "f2f82b018f08468a80134e75f8ca8e72": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "78954a01e5a64f16aee7ae471dfd38b3": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1242acad7c37434fba7536730bb340ce": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Yash-10/CAMELS-CNN-Interpretability-using-CKA/blob/main/Camels_CKA_Temp.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Unchanged code"
      ],
      "metadata": {
        "id": "ZmeGQeF8EQs1"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ewgHEni-EJp7",
        "outputId": "47aa04a4-426b-496b-dd88-a8f1ce5ea981"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting optuna==2.4.0\n",
            "  Downloading optuna-2.4.0-py3-none-any.whl (282 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m282.7/282.7 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting alembic (from optuna==2.4.0)\n",
            "  Downloading alembic-1.10.4-py3-none-any.whl (212 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m212.9/212.9 kB\u001b[0m \u001b[31m21.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting cliff (from optuna==2.4.0)\n",
            "  Downloading cliff-4.3.0-py3-none-any.whl (80 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m80.6/80.6 kB\u001b[0m \u001b[31m8.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting cmaes>=0.6.0 (from optuna==2.4.0)\n",
            "  Downloading cmaes-0.9.1-py3-none-any.whl (21 kB)\n",
            "Collecting colorlog (from optuna==2.4.0)\n",
            "  Downloading colorlog-6.7.0-py2.py3-none-any.whl (11 kB)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from optuna==2.4.0) (1.2.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from optuna==2.4.0) (1.22.4)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from optuna==2.4.0) (23.1)\n",
            "Requirement already satisfied: scipy!=1.4.0 in /usr/local/lib/python3.10/dist-packages (from optuna==2.4.0) (1.10.1)\n",
            "Requirement already satisfied: sqlalchemy>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from optuna==2.4.0) (2.0.10)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from optuna==2.4.0) (4.65.0)\n",
            "Requirement already satisfied: typing-extensions>=4.2.0 in /usr/local/lib/python3.10/dist-packages (from sqlalchemy>=1.1.0->optuna==2.4.0) (4.5.0)\n",
            "Requirement already satisfied: greenlet!=0.4.17 in /usr/local/lib/python3.10/dist-packages (from sqlalchemy>=1.1.0->optuna==2.4.0) (2.0.2)\n",
            "Collecting Mako (from alembic->optuna==2.4.0)\n",
            "  Downloading Mako-1.2.4-py3-none-any.whl (78 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m78.7/78.7 kB\u001b[0m \u001b[31m8.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: PrettyTable>=0.7.2 in /usr/local/lib/python3.10/dist-packages (from cliff->optuna==2.4.0) (0.7.2)\n",
            "Requirement already satisfied: PyYAML>=3.12 in /usr/local/lib/python3.10/dist-packages (from cliff->optuna==2.4.0) (6.0)\n",
            "Collecting autopage>=0.4.0 (from cliff->optuna==2.4.0)\n",
            "  Downloading autopage-0.5.1-py3-none-any.whl (29 kB)\n",
            "Collecting cmd2>=1.0.0 (from cliff->optuna==2.4.0)\n",
            "  Downloading cmd2-2.4.3-py3-none-any.whl (147 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m147.2/147.2 kB\u001b[0m \u001b[31m15.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting importlib-metadata>=4.4 (from cliff->optuna==2.4.0)\n",
            "  Downloading importlib_metadata-6.6.0-py3-none-any.whl (22 kB)\n",
            "Collecting stevedore>=2.0.1 (from cliff->optuna==2.4.0)\n",
            "  Downloading stevedore-5.0.0-py3-none-any.whl (49 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.6/49.6 kB\u001b[0m \u001b[31m5.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: attrs>=16.3.0 in /usr/local/lib/python3.10/dist-packages (from cmd2>=1.0.0->cliff->optuna==2.4.0) (23.1.0)\n",
            "Collecting pyperclip>=1.6 (from cmd2>=1.0.0->cliff->optuna==2.4.0)\n",
            "  Downloading pyperclip-1.8.2.tar.gz (20 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: wcwidth>=0.1.7 in /usr/local/lib/python3.10/dist-packages (from cmd2>=1.0.0->cliff->optuna==2.4.0) (0.2.6)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata>=4.4->cliff->optuna==2.4.0) (3.15.0)\n",
            "Collecting pbr!=2.1.0,>=2.0.0 (from stevedore>=2.0.1->cliff->optuna==2.4.0)\n",
            "  Downloading pbr-5.11.1-py2.py3-none-any.whl (112 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m112.7/112.7 kB\u001b[0m \u001b[31m11.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: MarkupSafe>=0.9.2 in /usr/local/lib/python3.10/dist-packages (from Mako->alembic->optuna==2.4.0) (2.1.2)\n",
            "Building wheels for collected packages: pyperclip\n",
            "  Building wheel for pyperclip (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pyperclip: filename=pyperclip-1.8.2-py3-none-any.whl size=11124 sha256=0f54ba610c541c7e8611171df6e7406569a0be4325492f49fa4fc77235fbd4b7\n",
            "  Stored in directory: /root/.cache/pip/wheels/04/24/fe/140a94a7f1036003ede94579e6b4227fe96c840c6f4dcbe307\n",
            "Successfully built pyperclip\n",
            "Installing collected packages: pyperclip, pbr, Mako, importlib-metadata, colorlog, cmd2, cmaes, autopage, stevedore, alembic, cliff, optuna\n",
            "Successfully installed Mako-1.2.4 alembic-1.10.4 autopage-0.5.1 cliff-4.3.0 cmaes-0.9.1 cmd2-2.4.3 colorlog-6.7.0 importlib-metadata-6.6.0 optuna-2.4.0 pbr-5.11.1 pyperclip-1.8.2 stevedore-5.0.0\n",
            "CUDA Not Available\n"
          ]
        }
      ],
      "source": [
        "# Unchanged code\n",
        "!pip install optuna==2.4.0\n",
        "\n",
        "import tqdm\n",
        "import numpy as np\n",
        "\n",
        "import numpy as np\n",
        "import optuna\n",
        "from google.colab import drive\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "import sys,os\n",
        "import random\n",
        "from torch.utils.data import DataLoader\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
        "\n",
        "import matplotlib as mpl\n",
        "mpl.rcParams['figure.dpi'] = 200\n",
        "\n",
        "if torch.cuda.is_available():\n",
        "    print(\"CUDA Available\")\n",
        "    device = torch.device('cuda')\n",
        "else:\n",
        "    print('CUDA Not Available')\n",
        "    device = torch.device('cpu')\n",
        "\n",
        "\n",
        "def unbiased_HSIC(K, L):\n",
        "  '''Computes an unbiased estimator of HISC. This is equation (2) from the paper'''\n",
        "\n",
        "  #create the unit **vector** filled with ones\n",
        "  n = K.shape[0]\n",
        "  ones = np.ones(shape=(n))\n",
        "\n",
        "  #fill the diagonal entries with zeros\n",
        "  np.fill_diagonal(K, val=0) #this is now K_tilde\n",
        "  np.fill_diagonal(L, val=0) #this is now L_tilde\n",
        "\n",
        "  #first part in the square brackets\n",
        "  trace = np.trace(np.dot(K, L))\n",
        "\n",
        "  #middle part in the square brackets\n",
        "  nominator1 = np.dot(np.dot(ones.T, K), ones)\n",
        "  nominator2 = np.dot(np.dot(ones.T, L), ones)\n",
        "  denominator = (n-1)*(n-2)\n",
        "  middle = np.dot(nominator1, nominator2) / denominator\n",
        "\n",
        "\n",
        "  #third part in the square brackets\n",
        "  multiplier1 = 2/(n-2)\n",
        "  multiplier2 = np.dot(np.dot(ones.T, K), np.dot(L, ones))\n",
        "  last = multiplier1 * multiplier2\n",
        "\n",
        "  #complete equation\n",
        "  unbiased_hsic = 1/(n*(n-3)) * (trace + middle - last)\n",
        "\n",
        "  return unbiased_hsic\n",
        "\n",
        "def CKA(X, Y):\n",
        "  '''Computes the CKA of two matrices. This is equation (1) from the paper'''\n",
        "\n",
        "  nominator = unbiased_HSIC(np.dot(X, X.T), np.dot(Y, Y.T))\n",
        "  denominator1 = unbiased_HSIC(np.dot(X, X.T), np.dot(X, X.T))\n",
        "  denominator2 = unbiased_HSIC(np.dot(Y, Y.T), np.dot(Y, Y.T))\n",
        "\n",
        "  cka = nominator/np.sqrt(denominator1*denominator2)\n",
        "\n",
        "  return cka\n",
        "\n",
        "def calculate_CKA_for_two_matrices(activationA, activationB):\n",
        "  '''Takes two activations A and B and computes the linear CKA to measure their similarity'''\n",
        "\n",
        "  #unfold the activations, that is make a (n, h*w*c) representation\n",
        "  shape = activationA.shape\n",
        "  activationA = np.reshape(activationA, newshape=(shape[0], np.prod(shape[1:])))\n",
        "\n",
        "  shape = activationB.shape\n",
        "  activationB = np.reshape(activationB, newshape=(shape[0], np.prod(shape[1:])))\n",
        "\n",
        "  #calculate the CKA score\n",
        "  cka_score = CKA(activationA, activationB)\n",
        "\n",
        "  del activationA\n",
        "  del activationB\n",
        "\n",
        "  return cka_score\n",
        "\n",
        "\n",
        "# def get_all_layer_outputs_fn(model):\n",
        "#   '''Builds and returns function that returns the output of every (intermediate) layer'''\n",
        "\n",
        "#   return tf.keras.backend.function([model.layers[0].input],\n",
        "#                                   [l.output for l in model.layers[1:]])\n",
        "\n",
        "def compare_activations(modelA, modelB, data_batch):\n",
        "  '''\n",
        "  Calculate a pairwise comparison of hidden representations and return a matrix\n",
        "  '''\n",
        "\n",
        "  _, intermediate_outputs_A = modelA(data_batch)\n",
        "  _, intermediate_outputs_B = modelB(data_batch)\n",
        "\n",
        "  #create a placeholder array\n",
        "  result_array = np.zeros(shape=(len(intermediate_outputs_A), len(intermediate_outputs_B)))\n",
        "\n",
        "  i = 0\n",
        "  for outputA in tqdm.tqdm_notebook(intermediate_outputs_A):\n",
        "    j = 0\n",
        "    for outputB in tqdm.tqdm_notebook(intermediate_outputs_B):\n",
        "      print(outputA.shape, outputB.shape)\n",
        "      cka_score = calculate_CKA_for_two_matrices(outputA, outputB)\n",
        "      result_array[i, j] = cka_score\n",
        "      j+=1\n",
        "    i+= 1\n",
        "\n",
        "  return result_array\n",
        "\n",
        "# This routine returns the data loader need to train the network\n",
        "def create_dataset_multifield(mode, seed, fmaps, fparams, batch_size, splits, fmaps_norm,\n",
        "                              rot_flip_in_mem=True, shuffle=True, verbose=False):\n",
        "\n",
        "    # whether rotations and flippings are kept in memory\n",
        "    if rot_flip_in_mem:\n",
        "        data_set = make_dataset_multifield(mode, seed, fmaps, fparams, splits, fmaps_norm, verbose)\n",
        "    else:\n",
        "        data_set = make_dataset_multifield2(mode, seed, fmaps, fparams, splits, fmaps_norm, verbose)\n",
        "\n",
        "    def seed_worker(worker_id):\n",
        "        worker_seed = torch.initial_seed() % 2**32\n",
        "        np.random.seed(worker_seed)\n",
        "        random.seed(worker_seed)\n",
        "\n",
        "    g = torch.Generator()\n",
        "    g.manual_seed(0)\n",
        "\n",
        "    data_loader = DataLoader(dataset=data_set, batch_size=batch_size, shuffle=shuffle, worker_init_fn=seed_worker, generator=g)\n",
        "    return data_loader\n",
        "\n",
        "\n",
        "# This class creates the dataset. Rotations and flippings are precompued and stored in memory\n",
        "class make_dataset_multifield():\n",
        "\n",
        "    def __init__(self, mode, seed, fmaps, fparams, splits, fmaps_norm, verbose):\n",
        "\n",
        "        # get the total number of sims and maps\n",
        "        params_sims = np.loadtxt(fparams) #simulations parameters, NOT maps parameters\n",
        "        total_sims, total_maps, num_params = \\\n",
        "                params_sims.shape[0], params_sims.shape[0]*splits, params_sims.shape[1]\n",
        "        params_maps = np.zeros((total_maps, num_params), dtype=np.float32)\n",
        "        for i in range(total_sims):\n",
        "            for j in range(splits):\n",
        "                params_maps[i*splits + j] = params_sims[i]\n",
        "\n",
        "        # normalize the value of the cosmological & astrophysical parameters\n",
        "        minimum     = np.array([0.1, 0.6, 0.25, 0.25, 0.5, 0.5])\n",
        "        maximum     = np.array([0.5, 1.0, 4.00, 4.00, 2.0, 2.0])\n",
        "        params_maps = (params_maps - minimum)/(maximum - minimum)\n",
        "\n",
        "        # get the size and offset depending on the type of dataset\n",
        "        if   mode=='train':  offset, size_sims = int(0.00*total_sims), int(0.90*total_sims)\n",
        "        elif mode=='valid':  offset, size_sims = int(0.90*total_sims), int(0.05*total_sims)\n",
        "        elif mode=='test':   offset, size_sims = int(0.95*total_sims), int(0.05*total_sims)\n",
        "        elif mode=='all':    offset, size_sims = int(0.00*total_sims), int(1.00*total_sims)\n",
        "        else:                raise Exception('Wrong name!')\n",
        "        size_maps = size_sims*splits\n",
        "\n",
        "        # randomly shuffle the simulations (not maps). Instead of 0 1 2 3...999 have a\n",
        "        # random permutation. E.g. 5 9 0 29...342\n",
        "        np.random.seed(seed)\n",
        "        sim_numbers = np.arange(total_sims) #shuffle sims not maps\n",
        "        np.random.shuffle(sim_numbers)\n",
        "        sim_numbers = sim_numbers[offset:offset+size_sims] #select indexes of mode\n",
        "\n",
        "        # get the corresponding indexes of the maps associated to the sims\n",
        "        indexes = np.zeros(size_maps, dtype=np.int32)\n",
        "        count = 0\n",
        "        for i in sim_numbers:\n",
        "            for j in range(splits):\n",
        "                indexes[count] = i*splits + j\n",
        "                count += 1\n",
        "\n",
        "        # keep only the value of the parameters of the considered maps\n",
        "        params_maps = params_maps[indexes]\n",
        "\n",
        "        # define the matrix containing the maps with rotations and flipings\n",
        "        channels = len(fmaps)\n",
        "        dumb     = np.load(fmaps[0])    #[number of maps, height, width]\n",
        "        height, width = dumb.shape[1], dumb.shape[2];  del dumb\n",
        "        data     = np.zeros((size_maps*8, channels, height, width), dtype=np.float32)\n",
        "        params   = np.zeros((size_maps*8, num_params),              dtype=np.float32)\n",
        "\n",
        "        # read the data\n",
        "        print('Found %d channels\\nReading data...'%channels)\n",
        "        for channel, (fim, fnorm) in enumerate(zip(fmaps, fmaps_norm)):\n",
        "\n",
        "            # read maps in the considered channel\n",
        "            data_c = np.load(fim)\n",
        "            if data_c.shape[0]!=total_maps:  raise Exception('sizes do not match')\n",
        "            if verbose:  print('%.3e < F(all|orig) < %.3e'%(np.min(data_c), np.max(data_c)))\n",
        "\n",
        "            # rescale maps\n",
        "            if fim.find('Mstar')!=-1:  data_c = np.log10(data_c + 1.0)\n",
        "            else:                      data_c = np.log10(data_c)\n",
        "            if verbose:  print('%.3f < F(all|resc)  < %.3f'%(np.min(data_c), np.max(data_c)))\n",
        "\n",
        "            # normalize maps\n",
        "            if fnorm is None:\n",
        "                mean,    std     = np.mean(data_c), np.std(data_c)\n",
        "            else:\n",
        "                # read data\n",
        "                data_norm = np.load(fnorm)\n",
        "\n",
        "                # rescale\n",
        "                if fnorm.find('Mstar')!=-1:  data_norm = np.log10(data_norm + 1.0)\n",
        "                else:                        data_norm = np.log10(data_norm)\n",
        "\n",
        "                # compute mean and std\n",
        "                mean,    std     = np.mean(data_norm), np.std(data_norm)\n",
        "                del data_norm\n",
        "\n",
        "            data_c = (data_c - mean)/std\n",
        "            if verbose:  print('%.3f < F(all|norm) < %.3f'%(np.min(data_c), np.max(data_c)))\n",
        "\n",
        "            # keep only the data of the chosen set\n",
        "            data_c = data_c[indexes]\n",
        "\n",
        "            # do a loop over all rotations (each is 90 deg)\n",
        "            counted_maps = 0\n",
        "            for rot in [0,1,2,3]:\n",
        "                data_rot = np.rot90(data_c, k=rot, axes=(1,2))\n",
        "\n",
        "                data[counted_maps:counted_maps+size_maps,channel,:,:] = data_rot\n",
        "                params[counted_maps:counted_maps+size_maps]           = params_maps\n",
        "                counted_maps += size_maps\n",
        "\n",
        "                data[counted_maps:counted_maps+size_maps,channel,:,:] = \\\n",
        "                                                    np.flip(data_rot, axis=1)\n",
        "                params[counted_maps:counted_maps+size_maps]           = params_maps\n",
        "                counted_maps += size_maps\n",
        "\n",
        "            if verbose:\n",
        "                print('Channel %d contains %d maps'%(channel,counted_maps))\n",
        "                print('%.3f < F < %.3f\\n'%(np.min(data_c), np.max(data_c)))\n",
        "\n",
        "        self.size = data.shape[0]\n",
        "        self.x    = torch.tensor(data,   dtype=torch.float32)\n",
        "        self.y    = torch.tensor(params, dtype=torch.float32)\n",
        "        del data, data_c\n",
        "\n",
        "    def __len__(self):\n",
        "        return self.size\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        return self.x[idx], self.y[idx]\n",
        "\n",
        "# This class creates the dataset. It will read the maps and store them in memory.\n",
        "# The rotations and flipings are done when calling the data\n",
        "class make_dataset_multifield2():\n",
        "\n",
        "    def __init__(self, mode, seed, fmaps, fparams, splits, fmaps_norm, verbose):\n",
        "\n",
        "        # get the total number of simulations and maps\n",
        "        params_sims = np.loadtxt(fparams) #simulations parameters, NOT maps parameters\n",
        "        total_sims, total_maps, num_params = \\\n",
        "                params_sims.shape[0], params_sims.shape[0]*splits, params_sims.shape[1]\n",
        "        params = np.zeros((total_maps, num_params), dtype=np.float32)\n",
        "        for i in range(total_sims):\n",
        "            for j in range(splits):\n",
        "                params[i*splits + j] = params_sims[i]\n",
        "\n",
        "        # normalize params\n",
        "        minimum = np.array([0.1, 0.6, 0.25, 0.25, 0.5, 0.5])\n",
        "        maximum = np.array([0.5, 1.0, 4.00, 4.00, 2.0, 2.0])\n",
        "        params  = (params - minimum)/(maximum - minimum)\n",
        "\n",
        "        # get the size and offset depending on the type of dataset\n",
        "        if   mode=='train':  offset, size_sims = int(0.00*total_sims), int(0.90*total_sims)\n",
        "        elif mode=='valid':  offset, size_sims = int(0.90*total_sims), int(0.05*total_sims)\n",
        "        elif mode=='test':   offset, size_sims = int(0.95*total_sims), int(0.05*total_sims)\n",
        "        elif mode=='all':    offset, size_sims = int(0.00*total_sims), int(1.00*total_sims)\n",
        "        else:                raise Exception('Wrong name!')\n",
        "        size_maps = size_sims*splits\n",
        "\n",
        "        # randomly shuffle the simulations (not maps). Instead of 0 1 2 3...999 have a\n",
        "        # random permutation. E.g. 5 9 0 29...342\n",
        "        np.random.seed(seed)\n",
        "        sim_numbers = np.arange(total_sims) #shuffle maps not rotations\n",
        "        np.random.shuffle(sim_numbers)\n",
        "        sim_numbers = sim_numbers[offset:offset+size_sims] #select indexes of mode\n",
        "\n",
        "        # get the corresponding indexes of the maps associated to the sims\n",
        "        indexes = np.zeros(size_maps, dtype=np.int32)\n",
        "        count = 0\n",
        "        for i in sim_numbers:\n",
        "            for j in range(splits):\n",
        "                indexes[count] = i*splits + j\n",
        "                count += 1\n",
        "\n",
        "        # keep only the value of the parameters of the considered maps\n",
        "        params = params[indexes]\n",
        "\n",
        "        # define the matrix containing the maps without rotations or flippings\n",
        "        channels = len(fmaps)\n",
        "        dumb     = np.load(fmaps[0])    #[number of maps, height, width]\n",
        "        height, width = dumb.shape[1], dumb.shape[2];  del dumb\n",
        "        data     = np.zeros((size_maps, channels, height, width), dtype=np.float32)\n",
        "\n",
        "        # read the data\n",
        "        print('Found %d channels\\nReading data...'%channels)\n",
        "        for channel, (fim, fnorm) in enumerate(zip(fmaps, fmaps_norm)):\n",
        "\n",
        "            # read maps in the considered channel\n",
        "            data_c = np.load(fim)\n",
        "            print(data_c.shape, total_maps)\n",
        "            if data_c.shape[0]!=total_maps:  raise Exception('sizes do not match')\n",
        "            if verbose:\n",
        "                print('%.3e < F(all|orig) < %.3e'%(np.min(data_c), np.max(data_c)))\n",
        "\n",
        "            # rescale maps\n",
        "            if fim.find('Mstar')!=-1:  data_c = np.log10(data_c + 1.0)\n",
        "            else:                      data_c = np.log10(data_c)\n",
        "            if verbose:\n",
        "                print('%.3f < F(all|resc)  < %.3f'%(np.min(data_c), np.max(data_c)))\n",
        "\n",
        "            # normalize maps\n",
        "            if fnorm is None:\n",
        "                mean,    std     = np.mean(data_c), np.std(data_c)\n",
        "                minimum, maximum = np.min(data_c),  np.max(data_c)\n",
        "            else:\n",
        "                # read data\n",
        "                data_norm     = np.load(fnorm)\n",
        "\n",
        "                # rescale data\n",
        "                if fnorm.find('Mstar')!=-1:  data_norm = np.log10(data_norm + 1.0)\n",
        "                else:                        data_norm = np.log10(data_norm)\n",
        "\n",
        "                # compute mean and std\n",
        "                mean,    std     = np.mean(data_norm), np.std(data_norm)\n",
        "                minimum, maximum = np.min(data_norm),  np.max(data_norm)\n",
        "                del data_norm\n",
        "\n",
        "            data_c = (data_c - mean)/std\n",
        "            if verbose:  print('%.3f < F(all|norm) < %.3f'%(np.min(data_c), np.max(data_c)))\n",
        "\n",
        "            # keep only the data of the chosen set\n",
        "            data[:,channel,:,:] = data_c[indexes]\n",
        "\n",
        "        self.size = data.shape[0]\n",
        "        self.x    = torch.tensor(data,   dtype=torch.float32)\n",
        "        self.y    = torch.tensor(params, dtype=torch.float32)\n",
        "        del data, data_c\n",
        "\n",
        "    def __len__(self):\n",
        "        return self.size\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "\n",
        "        # choose a rotation angle (0-0, 1-90, 2-180, 3-270)\n",
        "        # and whether do flipping or not\n",
        "        rot  = np.random.randint(0,4)\n",
        "        flip = np.random.randint(0,1)\n",
        "\n",
        "        # rotate and flip the maps\n",
        "        maps = torch.rot90(self.x[idx], k=rot, dims=[1,2])\n",
        "        if flip==1:  maps = torch.flip(maps, dims=[1])\n",
        "\n",
        "        return maps, self.y[idx]\n",
        "\n",
        "class model_o3_err(nn.Module):\n",
        "    def __init__(self, hidden, dr, channels):\n",
        "        super(model_o3_err, self).__init__()\n",
        "\n",
        "        # input: 1x256x256 ---------------> output: 2*hiddenx128x128\n",
        "        self.C01 = nn.Conv2d(channels,  2*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C02 = nn.Conv2d(2*hidden,  2*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C03 = nn.Conv2d(2*hidden,  2*hidden, kernel_size=2, stride=2, padding=0,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.B01 = nn.BatchNorm2d(2*hidden)\n",
        "        self.B02 = nn.BatchNorm2d(2*hidden)\n",
        "        self.B03 = nn.BatchNorm2d(2*hidden)\n",
        "\n",
        "        # input: 2*hiddenx128x128 ----------> output: 4*hiddenx64x64\n",
        "        self.C11 = nn.Conv2d(2*hidden, 4*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C12 = nn.Conv2d(4*hidden, 4*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C13 = nn.Conv2d(4*hidden, 4*hidden, kernel_size=2, stride=2, padding=0,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.B11 = nn.BatchNorm2d(4*hidden)\n",
        "        self.B12 = nn.BatchNorm2d(4*hidden)\n",
        "        self.B13 = nn.BatchNorm2d(4*hidden)\n",
        "\n",
        "        # input: 4*hiddenx64x64 --------> output: 8*hiddenx32x32\n",
        "        self.C21 = nn.Conv2d(4*hidden, 8*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C22 = nn.Conv2d(8*hidden, 8*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C23 = nn.Conv2d(8*hidden, 8*hidden, kernel_size=2, stride=2, padding=0,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.B21 = nn.BatchNorm2d(8*hidden)\n",
        "        self.B22 = nn.BatchNorm2d(8*hidden)\n",
        "        self.B23 = nn.BatchNorm2d(8*hidden)\n",
        "\n",
        "        # input: 8*hiddenx32x32 ----------> output: 16*hiddenx16x16\n",
        "        self.C31 = nn.Conv2d(8*hidden,  16*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C32 = nn.Conv2d(16*hidden, 16*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C33 = nn.Conv2d(16*hidden, 16*hidden, kernel_size=2, stride=2, padding=0,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.B31 = nn.BatchNorm2d(16*hidden)\n",
        "        self.B32 = nn.BatchNorm2d(16*hidden)\n",
        "        self.B33 = nn.BatchNorm2d(16*hidden)\n",
        "\n",
        "        # input: 16*hiddenx16x16 ----------> output: 32*hiddenx8x8\n",
        "        self.C41 = nn.Conv2d(16*hidden, 32*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C42 = nn.Conv2d(32*hidden, 32*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C43 = nn.Conv2d(32*hidden, 32*hidden, kernel_size=2, stride=2, padding=0,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.B41 = nn.BatchNorm2d(32*hidden)\n",
        "        self.B42 = nn.BatchNorm2d(32*hidden)\n",
        "        self.B43 = nn.BatchNorm2d(32*hidden)\n",
        "\n",
        "        # input: 32*hiddenx8x8 ----------> output:64*hiddenx4x4\n",
        "        self.C51 = nn.Conv2d(32*hidden, 64*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C52 = nn.Conv2d(64*hidden, 64*hidden, kernel_size=3, stride=1, padding=1,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.C53 = nn.Conv2d(64*hidden, 64*hidden, kernel_size=2, stride=2, padding=0,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.B51 = nn.BatchNorm2d(64*hidden)\n",
        "        self.B52 = nn.BatchNorm2d(64*hidden)\n",
        "        self.B53 = nn.BatchNorm2d(64*hidden)\n",
        "\n",
        "        # input: 64*hiddenx4x4 ----------> output: 128*hiddenx1x1\n",
        "        self.C61 = nn.Conv2d(64*hidden, 128*hidden, kernel_size=4, stride=1, padding=0,\n",
        "                            padding_mode='circular', bias=True)\n",
        "        self.B61 = nn.BatchNorm2d(128*hidden)\n",
        "\n",
        "        self.P0  = nn.AvgPool2d(kernel_size=2, stride=2, padding=0)\n",
        "\n",
        "        self.FC1  = nn.Linear(128*hidden, 64*hidden)\n",
        "        self.FC2  = nn.Linear(64*hidden,  12)\n",
        "\n",
        "        self.dropout   = nn.Dropout(p=dr)\n",
        "        self.ReLU      = nn.ReLU()\n",
        "        self.LeakyReLU = nn.LeakyReLU(0.2)\n",
        "        self.tanh      = nn.Tanh()\n",
        "\n",
        "        for m in self.modules():\n",
        "            if isinstance(m, nn.BatchNorm2d) or isinstance(m, nn.BatchNorm1d):\n",
        "                nn.init.constant_(m.weight, 1)\n",
        "                nn.init.constant_(m.bias, 0)\n",
        "            elif isinstance(m, nn.Conv2d) or isinstance(m, nn.ConvTranspose2d) or isinstance(m, nn.Linear):\n",
        "                nn.init.kaiming_normal_(m.weight)\n",
        "\n",
        "\n",
        "    def forward(self, image):\n",
        "        x01 = self.C01(image)\n",
        "        x01_ = self.LeakyReLU(x01)\n",
        "        x02 = self.C02(x01_)\n",
        "        x02_ = self.LeakyReLU(self.B02(x02))\n",
        "        x03 = self.C03(x02_)\n",
        "        x03_ = self.LeakyReLU(self.B03(x03))\n",
        "\n",
        "        x11 = self.C11(x03_)\n",
        "        x11_ = self.LeakyReLU(self.B11(x11))\n",
        "        x12 = self.C12(x11_)\n",
        "        x12_ = self.LeakyReLU(self.B12(x12))\n",
        "        x13 = self.C13(x12_)\n",
        "        x13_ = self.LeakyReLU(self.B13(x13))\n",
        "\n",
        "        x21 = self.C21(x13_)\n",
        "        x21_ = self.LeakyReLU(self.B21(x21))\n",
        "        x22 = self.C22(x21_)\n",
        "        x22_ = self.LeakyReLU(self.B22(x22))\n",
        "        x23 = self.C23(x22_)\n",
        "        x23_ = self.LeakyReLU(self.B23(x23))\n",
        "\n",
        "        x31 = self.C31(x23_)\n",
        "        x31_ = self.LeakyReLU(self.B31(x31))\n",
        "        x32 = self.C32(x31_)\n",
        "        x32_ = self.LeakyReLU(self.B32(x32))\n",
        "        x33 = self.C33(x32_)\n",
        "        x33_ = self.LeakyReLU(self.B33(x33))\n",
        "\n",
        "        x41 = self.C41(x33_)\n",
        "        x41_ = self.LeakyReLU(self.B41(x41))\n",
        "        x42 = self.C42(x41_)\n",
        "        x42_ = self.LeakyReLU(self.B42(x42))\n",
        "        x43 = self.C43(x42_)\n",
        "        x43_ = self.LeakyReLU(self.B43(x43))\n",
        "\n",
        "        x51 = self.C51(x43_)\n",
        "        x51_ = self.LeakyReLU(self.B51(x51))\n",
        "        x52 = self.C52(x51_)\n",
        "        x52_ = self.LeakyReLU(self.B52(x52))\n",
        "        x53 = self.C53(x52_)\n",
        "        x53_ = self.LeakyReLU(self.B53(x53))\n",
        "\n",
        "        x61 = self.C61(x53_)\n",
        "        x61_ = self.LeakyReLU(self.B61(x61))\n",
        "\n",
        "        x61__ = x61_.view(image.shape[0],-1)\n",
        "        x61__ = self.dropout(x61__)\n",
        "\n",
        "        x71 = self.FC1(x61__)\n",
        "        x71_ = self.LeakyReLU(x71)\n",
        "        x71__ = self.dropout(x71_)\n",
        "        x81 = self.FC2(x71__)\n",
        "\n",
        "        # enforce the errors to be positive\n",
        "        y = torch.clone(x81)\n",
        "        y[:,6:12] = torch.square(x81[:,6:12])\n",
        "\n",
        "        return y, [x01_, x02_, x03_, x11_, x12_, x13_, x21_, x22_, x23_, x31_, x32_, x33_, x41_, x42_, x43_, x51_, x52_, x53_, x61_, x71_, x81]\n",
        "\n",
        "def load_two_models_for_similarity_measure(fweights_1, fweights_2, fdatabase1, study_name, trial_number_1, trial_number_2, fdatabase2=None):\n",
        "  if fdatabase2 is None:\n",
        "    print('Assuming same database for the two models...')\n",
        "\n",
        "  if torch.cuda.is_available():\n",
        "    print(\"GPUs available\")\n",
        "    device = torch.device('cuda')\n",
        "  else:\n",
        "    print('GPUs not available')\n",
        "    device = torch.device('cpu')\n",
        "\n",
        "  fweights = [fweights_1, fweights_2]\n",
        "  fdatabases = [fdatabase1, fdatabase2]\n",
        "  trial_numbers = [trial_number_1, trial_number_2]\n",
        "  models = []\n",
        "\n",
        "  for i in range(2):\n",
        "    if fdatabase2 is None:\n",
        "      study = optuna.load_study(study_name=study_name, storage=fdatabase1)\n",
        "    else:\n",
        "      study = optuna.load_study(study_name=study_name, storage=fdatabases[i])\n",
        "\n",
        "    print(f\"\\nTrial number: {trial_numbers[i]}\")\n",
        "    trial_number = trial_numbers[i]\n",
        "    trial = study.trials[trial_number]\n",
        "    print(\"Trial number:  number {}\".format(trial.number))\n",
        "    print(\"Loss:          %.5e\"%trial.value)\n",
        "    print(\"Params: \")\n",
        "    for key, value in trial.params.items():\n",
        "      print(\"    {}: {}\".format(key, value))\n",
        "\n",
        "    model = model_o3_err(trial.params['hidden'], trial.params['dr'], 1)\n",
        "    model = nn.DataParallel(model)\n",
        "    model.to(device=device)\n",
        "    network_total_params = sum(p.numel() for p in model.parameters())\n",
        "    print('total number of parameters in the model = %d'%network_total_params)\n",
        "\n",
        "    if os.path.exists(fweights[i]):\n",
        "      model.load_state_dict(torch.load(fweights[i], map_location=torch.device(device)))\n",
        "      print('Weights loaded')\n",
        "      models.append(model)\n",
        "    else:\n",
        "      raise Exception('file with weights not found!!!')\n",
        "\n",
        "  if len(models) != 2:\n",
        "    print(\"Warning! Two models were not loaded...\")\n",
        "  return models\n",
        "\n",
        "import seaborn as sns\n",
        "sns.set_context(\"paper\", font_scale = 2)\n",
        "sns.set_style('whitegrid')\n",
        "sns.set(style='ticks')\n",
        "def plot_cka(sim):\n",
        "  fig, ax = plt.subplots(1, 1, figsize=(5, 5))\n",
        "\n",
        "  divider = make_axes_locatable(ax)\n",
        "  cax = divider.append_axes('right', size='5%', pad=0.05)\n",
        "\n",
        "  im = ax.imshow(sim, cmap='magma', vmin=0.0,vmax=1.0)\n",
        "  layers = np.arange(1, 21, 2)\n",
        "  ax.set_xticks(layers); ax.set_yticks(layers)\n",
        "  ax.set_xticklabels(layers); ax.set_yticklabels(layers)\n",
        "  ax.axes.invert_yaxis()\n",
        "  fig.colorbar(im, cax=cax, orientation='vertical')\n",
        "  return ax\n",
        "\n",
        "\n",
        "def get_test_acc(model, test_loader):\n",
        "  # get the number of maps in the test set\n",
        "  num_maps = 0\n",
        "  for x,y in test_loader:\n",
        "        num_maps += x.shape[0]\n",
        "  print('\\nNumber of maps in the test set: %d'%num_maps)\n",
        "\n",
        "  # define the arrays containing the value of the parameters\n",
        "  params_true = np.zeros((num_maps,6), dtype=np.float32)\n",
        "  params_NN   = np.zeros((num_maps,6), dtype=np.float32)\n",
        "  errors_NN   = np.zeros((num_maps,6), dtype=np.float32)\n",
        "\n",
        "  # get test loss\n",
        "  test_loss1, test_loss2 = torch.zeros(len(g)).to(device), torch.zeros(len(g)).to(device)\n",
        "  test_loss, points = 0.0, 0\n",
        "  model.eval()\n",
        "  for x, y in test_loader:\n",
        "      with torch.no_grad():\n",
        "          bs    = x.shape[0]    #batch size\n",
        "          x     = x.to(device)  #send data to device\n",
        "          y     = y.to(device)  #send data to device\n",
        "          p     = model(x)[0]      #prediction for mean and variance  # EDIT: Take 0th element because we modify the architecture to return the features as well.\n",
        "          y_NN  = p[:,:6]       #prediction for mean\n",
        "          e_NN  = p[:,6:]       #prediction for error\n",
        "          loss1 = torch.mean((y_NN[:,g] - y[:,g])**2,                     axis=0)\n",
        "          loss2 = torch.mean(((y_NN[:,g] - y[:,g])**2 - e_NN[:,g]**2)**2, axis=0)\n",
        "          test_loss1 += loss1*bs\n",
        "          test_loss2 += loss2*bs\n",
        "\n",
        "          # save results to their corresponding arrays\n",
        "          params_true[points:points+x.shape[0]] = y.cpu().numpy()\n",
        "          params_NN[points:points+x.shape[0]]   = y_NN.cpu().numpy()\n",
        "          errors_NN[points:points+x.shape[0]]   = e_NN.cpu().numpy()\n",
        "          points    += x.shape[0]\n",
        "  test_loss = torch.log(test_loss1/points) + torch.log(test_loss2/points)\n",
        "  test_loss = torch.mean(test_loss).item()\n",
        "  print('Test loss = %.3e\\n'%test_loss)\n",
        "  return params_true, params_NN, errors_NN\n",
        "\n",
        "from sklearn.metrics import r2_score, mean_squared_error\n",
        "\n",
        "def get_r2_score(params_true, params_NN):\n",
        "  r2_scores_params = []\n",
        "  for i in range(params_true.shape[1]):\n",
        "    r2_scores_params.append(\n",
        "      r2_score(params_true[:, i], params_NN[:, i])\n",
        "    )\n",
        "  return r2_scores_params\n",
        "\n",
        "def get_rmse(params_true, params_NN):\n",
        "  rmse_scores_params = []\n",
        "  for i in range(params_true.shape[1]):\n",
        "    rmse_scores_params.append(\n",
        "      mean_squared_error(params_true[:, i], params_NN[:, i])\n",
        "    )\n",
        "  return rmse_scores_params"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Data download"
      ],
      "metadata": {
        "id": "ABFhJQFdEieL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/inference/databases/IllustrisTNG_o3_T_all_steps_500_500_o3.db\n",
        "!wget https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/data/params_IllustrisTNG.txt\n",
        "\n",
        "!wget https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/inference/weights/weights_IllustrisTNG_T_42_all_steps_500_500_o3.pt\n",
        "!wget https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/inference/weights/weights_IllustrisTNG_T_43_all_steps_500_500_o3.pt\n",
        "!wget https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/data/Maps_T_IllustrisTNG_LH_z=0.00.npy"
      ],
      "metadata": {
        "id": "1sm8fnKEEhoh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b3ff5a2f-0475-4f2e-9023-cca0d1fff306"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2023-05-12 10:42:38--  https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/inference/databases/IllustrisTNG_o3_T_all_steps_500_500_o3.db\n",
            "Resolving users.flatironinstitute.org (users.flatironinstitute.org)... 144.121.86.9\n",
            "Connecting to users.flatironinstitute.org (users.flatironinstitute.org)|144.121.86.9|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 58368 (57K) [application/octet-stream]\n",
            "Saving to: ‘IllustrisTNG_o3_T_all_steps_500_500_o3.db’\n",
            "\n",
            "IllustrisTNG_o3_T_a 100%[===================>]  57.00K   301KB/s    in 0.2s    \n",
            "\n",
            "2023-05-12 10:42:39 (301 KB/s) - ‘IllustrisTNG_o3_T_all_steps_500_500_o3.db’ saved [58368/58368]\n",
            "\n",
            "--2023-05-12 10:42:39--  https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/data/params_IllustrisTNG.txt\n",
            "Resolving users.flatironinstitute.org (users.flatironinstitute.org)... 144.121.86.9\n",
            "Connecting to users.flatironinstitute.org (users.flatironinstitute.org)|144.121.86.9|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 48000 (47K) [text/plain]\n",
            "Saving to: ‘params_IllustrisTNG.txt’\n",
            "\n",
            "params_IllustrisTNG 100%[===================>]  46.88K   248KB/s    in 0.2s    \n",
            "\n",
            "2023-05-12 10:42:40 (248 KB/s) - ‘params_IllustrisTNG.txt’ saved [48000/48000]\n",
            "\n",
            "--2023-05-12 10:42:40--  https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/inference/weights/weights_IllustrisTNG_T_42_all_steps_500_500_o3.pt\n",
            "Resolving users.flatironinstitute.org (users.flatironinstitute.org)... 144.121.86.9\n",
            "Connecting to users.flatironinstitute.org (users.flatironinstitute.org)|144.121.86.9|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 113811520 (109M) [application/octet-stream]\n",
            "Saving to: ‘weights_IllustrisTNG_T_42_all_steps_500_500_o3.pt’\n",
            "\n",
            "weights_IllustrisTN 100%[===================>] 108.54M  15.0MB/s    in 8.5s    \n",
            "\n",
            "2023-05-12 10:42:50 (12.7 MB/s) - ‘weights_IllustrisTNG_T_42_all_steps_500_500_o3.pt’ saved [113811520/113811520]\n",
            "\n",
            "--2023-05-12 10:42:50--  https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/inference/weights/weights_IllustrisTNG_T_43_all_steps_500_500_o3.pt\n",
            "Resolving users.flatironinstitute.org (users.flatironinstitute.org)... 144.121.86.9\n",
            "Connecting to users.flatironinstitute.org (users.flatironinstitute.org)|144.121.86.9|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 113811556 (109M) [application/octet-stream]\n",
            "Saving to: ‘weights_IllustrisTNG_T_43_all_steps_500_500_o3.pt’\n",
            "\n",
            "weights_IllustrisTN 100%[===================>] 108.54M  14.9MB/s    in 8.6s    \n",
            "\n",
            "2023-05-12 10:42:59 (12.6 MB/s) - ‘weights_IllustrisTNG_T_43_all_steps_500_500_o3.pt’ saved [113811556/113811556]\n",
            "\n",
            "--2023-05-12 10:42:59--  https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/data/Maps_T_IllustrisTNG_LH_z=0.00.npy\n",
            "Resolving users.flatironinstitute.org (users.flatironinstitute.org)... 144.121.86.9\n",
            "Connecting to users.flatironinstitute.org (users.flatironinstitute.org)|144.121.86.9|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 3932160128 (3.7G) [application/octet-stream]\n",
            "Saving to: ‘Maps_T_IllustrisTNG_LH_z=0.00.npy’\n",
            "\n",
            "Maps_T_IllustrisTNG 100%[===================>]   3.66G  10.9MB/s    in 4m 23s  \n",
            "\n",
            "2023-05-12 10:47:24 (14.2 MB/s) - ‘Maps_T_IllustrisTNG_LH_z=0.00.npy’ saved [3932160128/3932160128]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!wget https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/data/params_SIMBA.txt\n",
        "!wget https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/inference/databases/SIMBA_o3_T_all_steps_500_500_o3.db\n",
        "!wget https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/inference/weights/weights_SIMBA_T_37_all_steps_500_500_o3.pt\n",
        "!wget https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/inference/weights/weights_SIMBA_T_48_all_steps_500_500_o3.pt\n",
        "!wget https://users.flatironinstitute.org/~fvillaescusa/priv/DEPnzxoWlaTQ6CjrXqsm0vYi8L7Jy/CMD/2D_maps/data/Maps_T_SIMBA_LH_z=0.00.npy"
      ],
      "metadata": {
        "id": "ObQrkxrEI27U"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Main code"
      ],
      "metadata": {
        "id": "2_wwgQj_FZs9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fweights_1   = '/content/weights_IllustrisTNG_T_42_all_steps_500_500_o3.pt'\n",
        "fweights_2   = '/content/weights_IllustrisTNG_T_43_all_steps_500_500_o3.pt'\n",
        "fdatabase1  = 'sqlite://///content/IllustrisTNG_o3_T_all_steps_500_500_o3.db'\n",
        "# fdatabase2  = 'sqlite://///content/Nbody_o3_Mtot_all_steps_500_500_o3_smoothing_2.db'\n",
        "study_name = 'wd_dr_hidden_lr_o3'\n",
        "\n",
        "study = optuna.load_study(study_name=study_name, storage=fdatabase1)\n",
        "for i, t in enumerate(study.trials):\n",
        "  print(i, t.value)\n",
        "\n",
        "trial_number_1 = int(fweights_1.split('/')[2].split('_')[3])\n",
        "trial_number_2 = int(fweights_2.split('/')[2].split('_')[3])\n",
        "\n",
        "models = load_two_models_for_similarity_measure(\n",
        "    fweights_1, fweights_2, fdatabase1, study_name, trial_number_1, trial_number_2, fdatabase2=None\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xDU4RN58Fa5a",
        "outputId": "be39284a-5e1e-4eb0-cbbd-db6b0ffd2698"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0 -7.0922393798828125\n",
            "1 -12.358253479003906\n",
            "2 -10.174528121948242\n",
            "3 -12.718196868896484\n",
            "4 -11.52118968963623\n",
            "5 -12.249934196472168\n",
            "6 -12.511897087097168\n",
            "7 -10.564352035522461\n",
            "8 -12.424223899841309\n",
            "9 -12.380033493041992\n",
            "10 -12.22735595703125\n",
            "11 -11.275466918945312\n",
            "12 -12.322813034057617\n",
            "13 -9.60141372680664\n",
            "14 -7.596092224121094\n",
            "15 -12.831212997436523\n",
            "16 -11.381332397460938\n",
            "17 -9.187708854675293\n",
            "18 -7.498069763183594\n",
            "19 -10.084056854248047\n",
            "20 -9.972155570983887\n",
            "21 -12.949320793151855\n",
            "22 -12.83298110961914\n",
            "23 -12.802011489868164\n",
            "24 -12.794096946716309\n",
            "25 -12.85761833190918\n",
            "26 -12.974227905273438\n",
            "27 -12.128362655639648\n",
            "28 -12.108091354370117\n",
            "29 -12.835040092468262\n",
            "30 -12.928146362304688\n",
            "31 -12.770746231079102\n",
            "32 -12.763090133666992\n",
            "33 -12.669530868530273\n",
            "34 -12.66894817352295\n",
            "35 -12.469627380371094\n",
            "36 -12.790660858154297\n",
            "37 -12.973505973815918\n",
            "38 -12.964418411254883\n",
            "39 -12.67609691619873\n",
            "40 -12.799266815185547\n",
            "41 -12.845865249633789\n",
            "42 -13.022138595581055\n",
            "43 -13.053701400756836\n",
            "44 -12.8480224609375\n",
            "45 -12.883151054382324\n",
            "46 -12.583576202392578\n",
            "47 -12.416552543640137\n",
            "48 -12.80718994140625\n",
            "49 -10.819622039794922\n",
            "50 -12.967655181884766\n",
            "51 -12.680499076843262\n",
            "52 None\n",
            "53 None\n",
            "Assuming same database for the two models...\n",
            "GPUs not available\n",
            "\n",
            "Trial number: 42\n",
            "Trial number:  number 42\n",
            "Loss:          -1.30221e+01\n",
            "Params: \n",
            "    dr: 0.44738788793353823\n",
            "    hidden: 11\n",
            "    lr: 0.0032538080964094373\n",
            "    wd: 0.029174034488326853\n",
            "total number of parameters in the model = 28436376\n",
            "Weights loaded\n",
            "\n",
            "Trial number: 43\n",
            "Trial number:  number 43\n",
            "Loss:          -1.30537e+01\n",
            "Params: \n",
            "    dr: 0.3987253293774888\n",
            "    hidden: 11\n",
            "    lr: 0.003600248836660691\n",
            "    wd: 0.02580584806198075\n",
            "total number of parameters in the model = 28436376\n",
            "Weights loaded\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# data parameters\n",
        "fmaps      = ['/content/maps_T.npy'] #tuple containing the maps with the different fields to consider\n",
        "fmaps_norm = ['/content/Maps_T_IllustrisTNG_LH_z=0.00.npy'] #if you want to normalize the maps according to the properties of some data set, put that data set here (This is mostly used when training on IllustrisTNG and testing on SIMBA, or vicerversa)\n",
        "fparams    = '/content/params_SIMBA.txt'\n",
        "seed       = 1   #random seed to split maps among training, validation and testing\n",
        "splits     = 5   #number of maps per simulation\n",
        "\n",
        "channels        = 1                #we only consider here 1 field\n",
        "params          = [0,1,2,3,4,5]    #0(Omega_m) 1(sigma_8) 2(A_SN1) 3 (A_AGN1) 4(A_SN2) 5(A_AGN2). The code will be trained to predict all these parameters.\n",
        "g               = params           #g will contain the mean of the posterior\n",
        "h               = [6+i for i in g] #h will contain the variance of the posterior\n",
        "rot_flip_in_mem = False            #whether rotations and flipings are kept in memory. True will make the code faster but consumes more RAM memory.\n",
        "\n",
        "fmaps2 = '/content/Maps_T_SIMBA_LH_z=0.00.npy'\n",
        "maps  = np.load(fmaps2)\n",
        "print('Shape of the maps:',maps.shape)\n",
        "\n",
        "# define the array that will contain the indexes of the maps\n",
        "indexes = np.zeros(1000*splits, dtype=np.int32)\n",
        "\n",
        "# do a loop over all maps and choose the ones we want\n",
        "count = 0\n",
        "for i in range(15000):\n",
        "    if i%15 in np.arange(splits):\n",
        "      indexes[count] = i\n",
        "      count += 1\n",
        "print('Selected %d maps out of 15000'%count)\n",
        "\n",
        "# save these maps to a new file\n",
        "maps = maps[indexes]\n",
        "np.save('maps_T.npy', maps)\n",
        "del maps\n",
        "\n",
        "# load test set\n",
        "test_loader  = create_dataset_multifield('test', seed, fmaps, fparams, 16, splits, fmaps_norm,  # 16 is batch_size. IMPORTANT: batch_size=1 gave error.\n",
        "                                         rot_flip_in_mem=False, verbose=True, shuffle=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WWK1wij6G2DU",
        "outputId": "1df0199b-cfc2-4a23-c2e2-69eba1fc2a48"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape of the maps: (15000, 256, 256)\n",
            "Selected 5000 maps out of 15000\n",
            "Found 1 channels\n",
            "Reading data...\n",
            "(5000, 256, 256) 5000\n",
            "2.215e+02 < F(all|orig) < 2.636e+11\n",
            "2.345 < F(all|resc)  < 11.421\n",
            "-2.301 < F(all|norm) < 8.817\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Test the model and get accuracy"
      ],
      "metadata": {
        "id": "1cD6BDVBG6-W"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print('Model 1')\n",
        "params_true, params_NN, errors_NN = get_test_acc(models[0], test_loader)\n",
        "r2 = get_r2_score(params_true, params_NN)\n",
        "rmse = get_rmse(params_true, params_NN)\n",
        "print(r2)\n",
        "print(rmse)\n",
        "print('Model 2')\n",
        "params_true, params_NN, errors_NN = get_test_acc(models[1], test_loader)\n",
        "r2 = get_r2_score(params_true, params_NN)\n",
        "rmse = get_rmse(params_true, params_NN)\n",
        "print(r2)\n",
        "print(rmse)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "etjjuae5G9Wi",
        "outputId": "5f638f2b-4131-46f2-c286-dbf54cc294d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model 1\n",
            "\n",
            "Number of maps in the test set: 250\n",
            "Test loss = -3.456e+00\n",
            "\n",
            "[0.1400912254894785, -19.85011458501323, -1.090889116545719, -0.957145639906134, -0.10107093922823318, -4.412262260500565]\n",
            "[0.06504993, 1.8108287, 0.2126664, 0.14700973, 0.110317566, 0.41092718]\n",
            "Model 2\n",
            "\n",
            "Number of maps in the test set: 250\n",
            "Test loss = -4.135e+00\n",
            "\n",
            "[0.13491093659024267, -11.057538814257597, -0.5643026510677196, -0.29297077512152847, -0.6615552866404766, -2.276896661817158]\n",
            "[0.06544181, 1.0471951, 0.15910678, 0.097120665, 0.16647315, 0.24879907]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Run CKA"
      ],
      "metadata": {
        "id": "m4PEqQuZG_L6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_batch = []\n",
        "for i, (x, y) in enumerate(test_loader):\n",
        "  data_batch.append(x)\n",
        "  if i == 0:\n",
        "    break\n",
        "x = torch.vstack(data_batch)\n",
        "print(x.shape)\n",
        "\n",
        "with torch.no_grad():\n",
        "  sim = compare_activations(models[0], models[1], x)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "75c03844396e4602a6e2428d3eebac6f",
            "9822a2b4463f48fda0cc0aad36267fa1",
            "d701bd57ad424b119a75f0a9ce0be440",
            "b4db4d4c23a2455bbe62de55603ed1f8",
            "2b63c3ee4efd489d9305df3549023811",
            "45dddef2efb64522b664ea07c8e14275",
            "9488043954d746c19311dca46d7abcac",
            "7c0d92b8ca684d0184da7785e1fa0d1a",
            "22d01818f2d64571bd681db8fb540c2e",
            "a5ea81b2f9dc461881ab49e5b234df13",
            "90c380c4ae3247aa8dda7212d1c920ab",
            "d320c41022f049d28eaa6ce5b90ceacb",
            "f89f4b8c6aef459aad2c425cecbd37ab",
            "7cf0c5c885df45ecab232c8689d9d436",
            "bb1d0d036b094006b7b64b35daef37a8",
            "c0ea235b6a534e989e85e7b1904b9ba9",
            "686ba271297b46be882dc68e63384f6e",
            "d5d8738f707a4c27b6712466d329e9a1",
            "e9b75c82d492406db6465628f2fb944c",
            "9c59f8286241420a988bfbe78283ef2d",
            "4f57f0c4187f4d03aaaf7f31ce75f25d",
            "7a80018a0b8841bdaec668631b1bf1df",
            "96e0cb337b8a4851b2457d196709fa3f",
            "d794cc3c193c42e9ad2aec61d2b5ed90",
            "6a649946a8ae424ba1b5df912370a93c",
            "a257d161c42e4f119d4cd30bf5882b63",
            "570ed6f78a0f446295863292c34ca1ac",
            "fbfd90fec5ca4948ba0498be05b75ded",
            "711c1afd2f8f4b26b2c3cfa2c82f2efb",
            "b11d12a3b06f47939ffcfe3ab7f2980a",
            "a5507b092e5946738cbe5bc32ffe482e",
            "640a64e45ce6452fa0af4efb694f11bc",
            "6695884c613a42b88cd74bc7d3d1984c",
            "9bce6408d83b4586a1eea414c1da68f3",
            "76180e90660a4570b64b9adf386f881f",
            "c57802af821b45d1a07a5fb9e5ec6d75",
            "69f9f351bc494728ad41672976f6dc24",
            "17b88c8d751c456a89408b8e6c28b6f9",
            "0e39ce2a85fd47f49ede6eb360697076",
            "5f6ec9777d6c492cb5ccf7108b8307fc",
            "0ff837394ded4580a63fce9dd4edf460",
            "b65e2d88808d4abcb754df07f2e323e6",
            "d0eb9dff6fac4c9a8dc1f18f25f42046",
            "90173fac741743e4bc23db4a3d99b192",
            "b31b32a9f960498cb5e2fd0c6adc11ec",
            "0901c44eae5741a98c7c35dd15e93092",
            "94c4cae05e58424aa6c0a51f97e0d9e9",
            "d8e3bed879dd47dcb36a55bdfa3a8a04",
            "ef2092201ff94dc28e1eef64699d5c28",
            "fcd444e740744e84810cbb1cb8dd5cc2",
            "ba56576521984c30a841435b3028658d",
            "e4fdc47e643846c5884e452819d1692e",
            "603ae461174f487abaf75816551267a3",
            "79c8720c910942769c1804aebfb9fba5",
            "5bb489c62bc04f67af03e5a002173b8c",
            "01ca0758b3544f3fb23de33e4d535607",
            "14833694227f47efb4b2257d3b9ca8b5",
            "d0ee5306ba7347aaa9b970d703489f93",
            "77a15d107c794ca9b1632ebc589efb2e",
            "35ccdbca6d7848c3a3f36532279c113f",
            "d35b0fa6da2c41a9806d1d7c6f9e319a",
            "5b1b2e5e0b6b434db105da21b3e74070",
            "4980821748a34aed8c98dbf6f403099c",
            "f40a0bb7dbf545b08223e52621d49760",
            "bcd5242fa2974cf393478c9a2326251b",
            "f3c8ad86c59f4c8db65580bb3001b724",
            "182901eca852486d9f739e2425774f64",
            "7e0225164a7b411aae8ec501eb7e09ba",
            "8eaa5ea0f52b4571a87ce1ff2b71996c",
            "70c9bb6829264e7b880a849ec6cfa82d",
            "250100fc5d004a73b4ade2a3ee4460aa",
            "ea97ef7f6eaf423e90146dfc712c1365",
            "ec580ed7156b4f85b57818037a3004cf",
            "43be6f78a4df4135b6d5de31e9c8e2da",
            "b1e45222bbab487b8959f5625a157f82",
            "a35d40972bb84b04bd7d3b9f6ad00eb7",
            "00408cdc05ab4beb9befcbccb4c7521a",
            "94556e56569a4b12969507fec2161e1b",
            "3e3a9c9d10d445bd84d297d2bf33e40b",
            "e940b02a6f874bada0ee61b318048a9f",
            "a5a717850a5645b58320ac7d947d032a",
            "1354f2a794c14a7b93f7dd4a42f9d0d9",
            "e4db191fa6b84e7a89161d491f7fc190",
            "8dde8257720d40e7b09d806d75a1a9bf",
            "13e88525d0a244309f253c4de12ce42a",
            "d725748c373047b6921ca8b8c336b81b",
            "bc24caa31eeb4ebe97976164f175457c",
            "c0d4173913704677b4888d037d1c5715",
            "1145d24eb295418c912b4ef6168c0db6",
            "427cb156999d4839825d5793017f31c4",
            "be37c15d47ad4a7381b10e36e2c1fbe1",
            "fbbca615e57642bcafe439abbb126c31",
            "52f76481209b449d94b16d2123908a73",
            "1babef7d7fc54eef8c8c52e2b1c0b52d",
            "d2e6a0272b8d48fba241f753ab349ce5",
            "caf81a3609be4c38a5e8521f7016901d",
            "5f8f5107ba5c47508df7db607f7a0abc",
            "0821321fa92c46d4a79f8ca7f74f47a9",
            "948b6b4d06c64f01b7aab687067e3379",
            "aebae2ec77cf4196945c5e5b9f221d78",
            "ec463e536eda4ec7b9db59cc521265e9",
            "3130b695edf946539843af0b207b2ff0",
            "c8867510541543caa5be40d4a6e321ad",
            "dfb044830d3c400cb8937b9931f43620",
            "3596d14a3d034c039da3a90dd4bb800e",
            "c3933c3a265447e3860624d9b66d9455",
            "e49341cd29aa4586b2dab43d13222050",
            "f20f059f32224d75b7387106a360ab7e",
            "f28c03ee4dc04c0286a858033bd91b87",
            "a0fe5f27c4eb45e18e1235354bd94cb4",
            "8df21e0518524b40811d8df31f973159",
            "4ac8e459319e4eceaae111c6b8e93d67",
            "a992a53fa0444aa2b60e89ab8eb056a0",
            "85270085c1054034bd9cef5b1f6b9c4c",
            "cd80286e9b8d45f1a12b06aba1f001bc",
            "199bcaa4d76d470087ae0b15821cfdf9",
            "f7bc901e47de48d3b85d2ef0d6d13594",
            "d2721cc82c34479fb3574b0de5532370",
            "9fbe124ca0e24a64a8dc177c75421ede",
            "cd3a3a833eaf49169d7ad07cb77dc9ea",
            "1a2841257d20476d838088d2290b37ba",
            "11605f8fff7048229e60377fbc02f83d",
            "f4316452c7ff448781fc6a9efc3e1cd2",
            "5db9e61604904ef4be11a62b0c6f645f",
            "d43cf4463ec841b49f61b61eccc41153",
            "f2e1291c12d34fc39a1ffc8fa46b4b1b",
            "7b9d5106b4ef4fafa27793930ec241ed",
            "53b1f48ae5a24368a05e18e00565e8a2",
            "8d2c9c34e7d845efb9793d694d9d5df4",
            "6ff017e101d545a9a9cebc866b2cae01",
            "e93f8e08ea6342c780488980db9e66cb",
            "1d015c9ebd6b42b8ae75c5290b57dbf1",
            "f564391a5bcf408dba55e58cb0b78364",
            "d1866cc8714546c7a4713e1205095c47",
            "3bd5ac0408714b77a1325bc8d16529d5",
            "df8b33f8f660453eb6dc6a978eb1b129",
            "154ec5c9bbd24b979e7988171e10dcd6",
            "c046b3fb249d4552bda8b641edf23a7c",
            "7c2b77379c2243c78eab00eb2216342b",
            "ceaa828760d547c88a50980aac1e96b9",
            "d48a72a61396461aab77812c661fd733",
            "1c0994deb00c41d0968a53d6018a945f",
            "f5fbc52cdf2945bca942b5717892e6dd",
            "8b3b18af4a2948f1a8cdc7875cb4395f",
            "6fd4482ad6dc4edfaae0fc8d77c9c271",
            "e17fb97087074a9d9d6d2fb00ea1b57e",
            "dd98f46236ad4295bddfb742f48a3685",
            "b28a084b7c484d03bd1a33fee112fa61",
            "1deac1e700d74d51908c5482c9a563f7",
            "56fcafee25b24ea4b671d2c2eedb368e",
            "5effca0420ee4a53a42cf72f268550b7",
            "17c0153ff8174260873551f147313088",
            "a655adc169c14a17964d6313104ce981",
            "4b3876687cb5425688e5e64b0f750d95",
            "5397633f42f6481b812ab34e0c5e209e",
            "48b8b7edb6d641c38c9a65bb22955fd6",
            "d09f734cd93f4ab888e7626a4e779071",
            "4965931a2aae49de832c12692c51ecd9",
            "b1dfb6ff1ee34898ab619b7bf3d1d8bb",
            "a3faf1655c424987a56d55a7c613eb85",
            "a321374990b844eebc4d81c02a8a8ffa",
            "f3d87b324f8f475997bc8c4cc9a7a814",
            "b921bc4708b945a6a1253fcd69ed0382",
            "e0fa855505014f06814360a274567d21",
            "1275b09ecc724e78a6fbcf084b5ad702",
            "8129c08f8fde4c49b28ba3613942cf51",
            "8c34d249f1e942cbbeb20b651e482747",
            "f5e31ea8407f4256823b179e251aa69c",
            "a140da05f6bc42b5a6e7e985028c6053",
            "4715fd2afa714a76a111d777f72c4a5f",
            "8def20d62be6415f9f2f99301c25658e",
            "b15013bc12464fccb32cadfd2f062d88",
            "145032c8b35942958b829d3a1ac90b6c",
            "43b2a73504de4f5284048e07fcf11a07",
            "545a8f89a90d4cc891a0a9b5a4ce340b",
            "82c3a25e2f29483a8cb603a385a50a84",
            "65e1eee16fa2459ea3e75d9d0ab9ee50",
            "a0222f9bd8344b89a50a6c5de8ef6e00",
            "f504171a1f7f46f5a5e842aa669086ea",
            "04cd16c0ae004ba2b8383200add29819",
            "e48e06c56c99459f8aab6bf0f642498e",
            "b27dfbc37f4c49b68be5c73984affc6d",
            "199cda67f18247ffa2c54153f7224a2c",
            "61845938bec34109a3b9b8e10404b977",
            "df98c6ff999f4f63945a74199eb6dafa",
            "a828b9b742544a27965bb0168743dd08",
            "2ea90dd4ec9442f09156a801a02ad943",
            "cbb32139b4904006b26b166f0ec9b013",
            "20ce9316be6040eb9f61af677b6409c7",
            "635a2f23944a46519d1ef3489d43e10f",
            "03f88b64229c415dba286c92ecad4d9e",
            "ce4da3e9777b45c4badc34cb53de290d",
            "4bb0efa3067340b19662b76a71dfeca6",
            "da5dcc9946c244d595cefa0b94469f96",
            "225393e3740748a6adca95f70ac72a1f",
            "f02097e17aff4dee8df8650555388195",
            "59c21625483545c185b627e0dd43c9d1",
            "a2bc4bdabde648e893856fbdff1f15c1",
            "a340279128e640e0b9d91af43362f3cd",
            "ca3e7aca1c6f4d7b8c8dc3984656c53d",
            "cee37acbed684c24b8ae05931f8b171f",
            "ac66d2961e7d4d1f82851b73e53f46e5",
            "d6877616b17b438c89665a28824d37d9",
            "738ead514f5c4f878a7d27f7fa3b5bae",
            "b747060c955e4d6b84a27e242cdfb153",
            "7ee31cf8ea634471b7fe5fc1a06a04f8",
            "2ce6289506a94484a14784300aa03317",
            "454abd9c837d4459bc245ecd15d078ef",
            "2c038daf5e4c4b3eaffeab59c5edeab2",
            "f6666d70aa2e4f238f07a0bf1c51da1a",
            "48430cb569b34f86a3ca81824638f8c9",
            "0099061eb17649d28a61d57d58b153a2",
            "324bdfea71134e289bda8b348223199a",
            "319b7224465640039722649f12a5ba43",
            "d4b3b167b527415dbdb10365475fc5eb",
            "a37c747443b84ec2a0fb57caf920963e",
            "c4dca9f5befb49bf94086aa4551e2266",
            "2abc485bf6f04e5fb9d699513fd92152",
            "e54e61c06ada45adb16f084cc6f5ef15",
            "dd03d4b3c669452c9e75c1c19c1d4ab8",
            "a6fdac9fefcc4aeda732fe1ea72b8bb2",
            "b0249c3c9a06480f9406497083091d35",
            "507d8f9c8a894416a97b0834bda0c3c6",
            "d1b28f69d8604ac9a494533574642740",
            "699b15cb09574f1d9869ab7fa0ee67a3",
            "bcb37e00f7414be5896096b5ab0c736e",
            "e8070e5bb7414fd6879fb01e77d10d96",
            "7b4e194163e248eba1dd3273e36f9581",
            "67836e59869e4f5a8894b05d708290ae",
            "9cf98bf19ce047abb8360c744c613d8d",
            "fa480174de2b4c35a9a605a02ed446d1",
            "8f26d09064484ce9a7bd3a45f7f6fe9b",
            "6debe3f6bf2b4bd99a44c4f3db4c668a",
            "edfd294181bc40999ad925ebfe13a9d5",
            "14dc4b2cabb442f68c422c57ea60b60c",
            "ea529f297bbd4149bcfe81439cf42e8f",
            "988e0e358bcf4dafbbf3c4469f8696b6",
            "68f101c25a9d419e9bf7743c0d46e87d",
            "f824a8afa73e427ab8896b6616c5483d",
            "f2f82b018f08468a80134e75f8ca8e72",
            "78954a01e5a64f16aee7ae471dfd38b3",
            "1242acad7c37434fba7536730bb340ce"
          ]
        },
        "id": "G5Zz61VKHAt7",
        "outputId": "146ccc89-d529-488a-8204-53af2319067e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 1, 256, 256])\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-1-6fa2014f60f8>:109: TqdmDeprecationWarning: This function will be removed in tqdm==5.0.0\n",
            "Please use `tqdm.notebook.tqdm` instead of `tqdm.tqdm_notebook`\n",
            "  for outputA in tqdm.tqdm_notebook(intermediate_outputs_A):\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "75c03844396e4602a6e2428d3eebac6f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-1-6fa2014f60f8>:111: TqdmDeprecationWarning: This function will be removed in tqdm==5.0.0\n",
            "Please use `tqdm.notebook.tqdm` instead of `tqdm.tqdm_notebook`\n",
            "  for outputB in tqdm.tqdm_notebook(intermediate_outputs_B):\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d320c41022f049d28eaa6ce5b90ceacb"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 704])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "96e0cb337b8a4851b2457d196709fa3f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 704])\n",
            "torch.Size([16, 22, 256, 256]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "9bce6408d83b4586a1eea414c1da68f3"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 704])\n",
            "torch.Size([16, 22, 128, 128]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b31b32a9f960498cb5e2fd0c6adc11ec"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 704])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "01ca0758b3544f3fb23de33e4d535607"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 704])\n",
            "torch.Size([16, 44, 128, 128]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "182901eca852486d9f739e2425774f64"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 704])\n",
            "torch.Size([16, 44, 64, 64]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "94556e56569a4b12969507fec2161e1b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 704])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "1145d24eb295418c912b4ef6168c0db6"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 704])\n",
            "torch.Size([16, 88, 64, 64]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "aebae2ec77cf4196945c5e5b9f221d78"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 704])\n",
            "torch.Size([16, 88, 32, 32]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "8df21e0518524b40811d8df31f973159"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 704])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "11605f8fff7048229e60377fbc02f83d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 704])\n",
            "torch.Size([16, 176, 32, 32]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f564391a5bcf408dba55e58cb0b78364"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 704])\n",
            "torch.Size([16, 176, 16, 16]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "8b3b18af4a2948f1a8cdc7875cb4395f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 704])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "5397633f42f6481b812ab34e0c5e209e"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 704])\n",
            "torch.Size([16, 352, 16, 16]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "8129c08f8fde4c49b28ba3613942cf51"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 704])\n",
            "torch.Size([16, 352, 8, 8]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "65e1eee16fa2459ea3e75d9d0ab9ee50"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 704])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "cbb32139b4904006b26b166f0ec9b013"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 704])\n",
            "torch.Size([16, 704, 8, 8]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a340279128e640e0b9d91af43362f3cd"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 704])\n",
            "torch.Size([16, 704, 4, 4]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f6666d70aa2e4f238f07a0bf1c51da1a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 704])\n",
            "torch.Size([16, 1408, 1, 1]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a6fdac9fefcc4aeda732fe1ea72b8bb2"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 704]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 704]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 704]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 704]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 704]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 704]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 704]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 704]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 704]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 704]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 704]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 704]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 704]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 704]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 704]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 704]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 704]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 704]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 704]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 704]) torch.Size([16, 704])\n",
            "torch.Size([16, 704]) torch.Size([16, 12])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/21 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "8f26d09064484ce9a7bd3a45f7f6fe9b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([16, 12]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 12]) torch.Size([16, 22, 256, 256])\n",
            "torch.Size([16, 12]) torch.Size([16, 22, 128, 128])\n",
            "torch.Size([16, 12]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 12]) torch.Size([16, 44, 128, 128])\n",
            "torch.Size([16, 12]) torch.Size([16, 44, 64, 64])\n",
            "torch.Size([16, 12]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 12]) torch.Size([16, 88, 64, 64])\n",
            "torch.Size([16, 12]) torch.Size([16, 88, 32, 32])\n",
            "torch.Size([16, 12]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 12]) torch.Size([16, 176, 32, 32])\n",
            "torch.Size([16, 12]) torch.Size([16, 176, 16, 16])\n",
            "torch.Size([16, 12]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 12]) torch.Size([16, 352, 16, 16])\n",
            "torch.Size([16, 12]) torch.Size([16, 352, 8, 8])\n",
            "torch.Size([16, 12]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 12]) torch.Size([16, 704, 8, 8])\n",
            "torch.Size([16, 12]) torch.Size([16, 704, 4, 4])\n",
            "torch.Size([16, 12]) torch.Size([16, 1408, 1, 1])\n",
            "torch.Size([16, 12]) torch.Size([16, 704])\n",
            "torch.Size([16, 12]) torch.Size([16, 12])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "filename = 'cka_T_TNGTrials_appliedOnSIMBAMaps_16examples.npy'\n",
        "np.save(filename, sim)\n",
        "import shutil\n",
        "shutil.copy(filename, 'drive/MyDrive/CAMELS/CKA_matrices_and_results')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "p5FwztU2HCxZ",
        "outputId": "005d004c-d9c6-48fb-a05b-731616d75a5c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'drive/MyDrive/CAMELS/CKA_matrices_and_results/cka_T_TNGTrials_appliedOnSIMBAMaps_16examples.npy'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.imshow(sim)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 869
        },
        "id": "fI9XiwrDHENO",
        "outputId": "ec29c039-87da-46d3-9c2f-59306caa50cd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f5b132a6fb0>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1280x960 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "t_simba = np.load('/content/Maps_T_SIMBA_LH_z=0.00.npy')\n",
        "t_tng = np.load('/content/Maps_T_IllustrisTNG_LH_z=0.00.npy')"
      ],
      "metadata": {
        "id": "S7AIwz8JIGkm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "t_simba.shape, t_tng.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w_YoFl5x0AhX",
        "outputId": "d1e2b403-4491-41f0-9e4b-2bc2c892e6ad"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((15000, 256, 256), (15000, 256, 256))"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.imshow(np.log(1+t_simba[0].squeeze())); plt.show()\n",
        "plt.imshow(np.log(1+t_tng[0].squeeze())); plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 853
        },
        "id": "9pf_4El60NvK",
        "outputId": "85b35398-642b-48b2-d73d-0de85eb194b3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fparams = '/content/params_IllustrisTNG.txt'\n",
        "params = np.loadtxt(fparams)\n",
        "map_number = 101\n",
        "params_map = params[map_number//15]\n",
        "filename = 'T_tng_100_example_simParams.npy'\n",
        "np.save(filename, params_map)\n",
        "shutil.copy(filename, 'drive/MyDrive/CAMELS/CKA_matrices_and_results')\n",
        "\n",
        "fparams = '/content/params_SIMBA.txt'\n",
        "params = np.loadtxt(fparams)\n",
        "map_number = 101\n",
        "params_map = params[map_number//15]\n",
        "filename = 'T_simba_100_example_simParams.npy'\n",
        "np.save(filename, params_map)\n",
        "\n",
        "shutil.copy(filename, 'drive/MyDrive/CAMELS/CKA_matrices_and_results')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "jt7WjKM9M9Op",
        "outputId": "87d7f05e-9715-4cea-8bde-8d29f90d717a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'drive/MyDrive/CAMELS/CKA_matrices_and_results/T_simba_100_example_simParams.npy'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "filename = 'T_simba_100_example.npy'\n",
        "np.save(filename, t_simba[100].squeeze())\n",
        "import shutil\n",
        "shutil.copy(filename, 'drive/MyDrive/CAMELS/CKA_matrices_and_results')\n",
        "\n",
        "filename = 'T_tng_100_example.npy'\n",
        "np.save(filename, t_tng[100].squeeze())\n",
        "import shutil\n",
        "shutil.copy(filename, 'drive/MyDrive/CAMELS/CKA_matrices_and_results')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "qs0LZtbtz5UC",
        "outputId": "760cb74a-db93-4bd6-bc6d-bb8ffe43255f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'drive/MyDrive/CAMELS/CKA_matrices_and_results/T_tng_100_example.npy'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "6LwMpXVH1B9t"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}