Basic_Image_Gen.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4",
      "authorship_tag": "ABX9TyN9bGlqjd/YnsknrUwaTPTA",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "31d1989357a54c008fce650bdf9639b2": {
          "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_2c50f0e59568493b993779cb2a91d10e",
              "IPY_MODEL_9e4908ef11d54f679a84cd4f473240d2",
              "IPY_MODEL_711dc08cd8d340289a9e83af3e10a976"
            ],
            "layout": "IPY_MODEL_5358f4bbf7d6436cb050ad4216dc9708"
          }
        },
        "2c50f0e59568493b993779cb2a91d10e": {
          "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_163b1b44b50f45b88b5dd9c5fca75196",
            "placeholder": "​",
            "style": "IPY_MODEL_ec22c2122fab463aa5177c554dc7f589",
            "value": "100%"
          }
        },
        "9e4908ef11d54f679a84cd4f473240d2": {
          "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_e1ad124de0804b9fb0052b72644fdf12",
            "max": 469,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_b69abf74d2af463e985392fd25c22e15",
            "value": 469
          }
        },
        "711dc08cd8d340289a9e83af3e10a976": {
          "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_0d1ae8ed858a4cbebb3d5a43821775a0",
            "placeholder": "​",
            "style": "IPY_MODEL_33b240d1c27e48009edcfd26f7cfe485",
            "value": " 469/469 [00:11&lt;00:00, 45.91it/s]"
          }
        },
        "5358f4bbf7d6436cb050ad4216dc9708": {
          "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
          }
        },
        "163b1b44b50f45b88b5dd9c5fca75196": {
          "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
          }
        },
        "ec22c2122fab463aa5177c554dc7f589": {
          "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": ""
          }
        },
        "e1ad124de0804b9fb0052b72644fdf12": {
          "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
          }
        },
        "b69abf74d2af463e985392fd25c22e15": {
          "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": ""
          }
        },
        "0d1ae8ed858a4cbebb3d5a43821775a0": {
          "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
          }
        },
        "33b240d1c27e48009edcfd26f7cfe485": {
          "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": ""
          }
        },
        "23d466ffc33b423ab554b3c3f4199d51": {
          "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_c819bf12b37543f889b82d5207adb18b",
              "IPY_MODEL_20441b4741504c85b7a1aad36a87cd0f",
              "IPY_MODEL_03ac8a7c7c184a22a8c8e8fb171001c2"
            ],
            "layout": "IPY_MODEL_a19920458bd247bbbff2d93f403123f9"
          }
        },
        "c819bf12b37543f889b82d5207adb18b": {
          "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_f7babdbb1a8d47c8b7e99f0f38dc2e2f",
            "placeholder": "​",
            "style": "IPY_MODEL_e00090a59dc441829cbd4092d8bd93d4",
            "value": "100%"
          }
        },
        "20441b4741504c85b7a1aad36a87cd0f": {
          "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_6b6b2995cbd0425283af847a14d23c73",
            "max": 469,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_596f497736ee47bcb09a046b993aaedb",
            "value": 469
          }
        },
        "03ac8a7c7c184a22a8c8e8fb171001c2": {
          "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_d2313d3794ed4a158cfbc557329d0d61",
            "placeholder": "​",
            "style": "IPY_MODEL_13cf21940ffb43fea0ed6286f675c8c3",
            "value": " 469/469 [00:12&lt;00:00, 41.56it/s]"
          }
        },
        "a19920458bd247bbbff2d93f403123f9": {
          "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
          }
        },
        "f7babdbb1a8d47c8b7e99f0f38dc2e2f": {
          "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
          }
        },
        "e00090a59dc441829cbd4092d8bd93d4": {
          "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": ""
          }
        },
        "6b6b2995cbd0425283af847a14d23c73": {
          "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
          }
        },
        "596f497736ee47bcb09a046b993aaedb": {
          "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": ""
          }
        },
        "d2313d3794ed4a158cfbc557329d0d61": {
          "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
          }
        },
        "13cf21940ffb43fea0ed6286f675c8c3": {
          "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": ""
          }
        },
        "4e162187e644497781005d56f851e642": {
          "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_29d174f0634a4999868a5d803f06e501",
              "IPY_MODEL_4dde0073ebce4845a4d2930f0f6c9840",
              "IPY_MODEL_9e115036235642ebbe03ff23125cf32e"
            ],
            "layout": "IPY_MODEL_39f5eea77b2141d6ad76b7519f9bb660"
          }
        },
        "29d174f0634a4999868a5d803f06e501": {
          "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_4680acb0bd314462a3a040a0f8349625",
            "placeholder": "​",
            "style": "IPY_MODEL_386f5ce6439e4df0bbab5b818a141a2b",
            "value": "100%"
          }
        },
        "4dde0073ebce4845a4d2930f0f6c9840": {
          "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_ee6798378c91461ba4007e878ac07ddd",
            "max": 469,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_176c0dc05b1d4c2db1c131dfe255a033",
            "value": 469
          }
        },
        "9e115036235642ebbe03ff23125cf32e": {
          "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_742388ac4b5246e7a8f6950008bd2cce",
            "placeholder": "​",
            "style": "IPY_MODEL_eb5fa0dc97c94e789e5cb4def3737aae",
            "value": " 469/469 [00:11&lt;00:00, 44.54it/s]"
          }
        },
        "39f5eea77b2141d6ad76b7519f9bb660": {
          "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
          }
        },
        "4680acb0bd314462a3a040a0f8349625": {
          "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
          }
        },
        "386f5ce6439e4df0bbab5b818a141a2b": {
          "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": ""
          }
        },
        "ee6798378c91461ba4007e878ac07ddd": {
          "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
          }
        },
        "176c0dc05b1d4c2db1c131dfe255a033": {
          "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": ""
          }
        },
        "742388ac4b5246e7a8f6950008bd2cce": {
          "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
          }
        },
        "eb5fa0dc97c94e789e5cb4def3737aae": {
          "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": ""
          }
        },
        "1bdf79a8e09d4a39acaf070d3bbe2024": {
          "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_182b53ecf196440e82f638876a481635",
              "IPY_MODEL_13acf374bc654321b1c76e7801ad4419",
              "IPY_MODEL_30b1be1dccc2466da984477057816668"
            ],
            "layout": "IPY_MODEL_0c0ca9151849403f80408ecdb0516443"
          }
        },
        "182b53ecf196440e82f638876a481635": {
          "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_f43bc598a7e1465380e35bf62eccaf48",
            "placeholder": "​",
            "style": "IPY_MODEL_1cb23dae00e74b01ba56bcea53afaa8a",
            "value": "100%"
          }
        },
        "13acf374bc654321b1c76e7801ad4419": {
          "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_8df9abbdc99b415e95cdc99556544f92",
            "max": 469,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_99542ae7acb44af8b436680ed7fbc357",
            "value": 469
          }
        },
        "30b1be1dccc2466da984477057816668": {
          "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_329932b07ecb448fb2011e6eadc6b043",
            "placeholder": "​",
            "style": "IPY_MODEL_3804fc72e6e14f8897b49ec7ed640eeb",
            "value": " 469/469 [00:12&lt;00:00, 44.49it/s]"
          }
        },
        "0c0ca9151849403f80408ecdb0516443": {
          "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
          }
        },
        "f43bc598a7e1465380e35bf62eccaf48": {
          "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
          }
        },
        "1cb23dae00e74b01ba56bcea53afaa8a": {
          "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": ""
          }
        },
        "8df9abbdc99b415e95cdc99556544f92": {
          "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
          }
        },
        "99542ae7acb44af8b436680ed7fbc357": {
          "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": ""
          }
        },
        "329932b07ecb448fb2011e6eadc6b043": {
          "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
          }
        },
        "3804fc72e6e14f8897b49ec7ed640eeb": {
          "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": ""
          }
        },
        "296ba20144054ca8b736d3b562a072de": {
          "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_93f927118c0a44aaa12f2a70ecfd35a1",
              "IPY_MODEL_3fedb4d153564805bc257967f1aeec41",
              "IPY_MODEL_5d387ec91d7f4a0ba38965d05c3fbb3c"
            ],
            "layout": "IPY_MODEL_ef97e8a72f754de39c101751fd8cabc8"
          }
        },
        "93f927118c0a44aaa12f2a70ecfd35a1": {
          "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_5e2317d00a3c4b8da6a397ded1c06252",
            "placeholder": "​",
            "style": "IPY_MODEL_b609ebc257e945098a228ae24e6e376c",
            "value": "100%"
          }
        },
        "3fedb4d153564805bc257967f1aeec41": {
          "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_29515bb983154cdd9c5bcd9ca85f1e3f",
            "max": 469,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_2e8eeacc2e6c4ae8b8bf1c917c005106",
            "value": 469
          }
        },
        "5d387ec91d7f4a0ba38965d05c3fbb3c": {
          "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_2d1ce5e916df41e6b74227e6ad8a98d4",
            "placeholder": "​",
            "style": "IPY_MODEL_ac46c63045384007b9abf88b2bb6e45c",
            "value": " 469/469 [00:11&lt;00:00, 43.85it/s]"
          }
        },
        "ef97e8a72f754de39c101751fd8cabc8": {
          "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
          }
        },
        "5e2317d00a3c4b8da6a397ded1c06252": {
          "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
          }
        },
        "b609ebc257e945098a228ae24e6e376c": {
          "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": ""
          }
        },
        "29515bb983154cdd9c5bcd9ca85f1e3f": {
          "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
          }
        },
        "2e8eeacc2e6c4ae8b8bf1c917c005106": {
          "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": ""
          }
        },
        "2d1ce5e916df41e6b74227e6ad8a98d4": {
          "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
          }
        },
        "ac46c63045384007b9abf88b2bb6e45c": {
          "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": ""
          }
        },
        "fd10a5e5607e402b9042d466cfa8ed60": {
          "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_13287cb4456140ab9d00e0446c1c1c9f",
              "IPY_MODEL_a05262e68a4243f989b866c6dc3a691e",
              "IPY_MODEL_e1898bc5d6604d72b6db4f6be901e6a3"
            ],
            "layout": "IPY_MODEL_709640f7a4424f358a05910ce9e342d0"
          }
        },
        "13287cb4456140ab9d00e0446c1c1c9f": {
          "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_87cb292689424efc9bb1a07ff7ca01e6",
            "placeholder": "​",
            "style": "IPY_MODEL_bea2fb8eda54438fa51941ec7200003f",
            "value": "100%"
          }
        },
        "a05262e68a4243f989b866c6dc3a691e": {
          "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_d1a8d65aff784dba819f19a2af23bdb0",
            "max": 469,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_36da7b3a875241a2a872142ea8175229",
            "value": 469
          }
        },
        "e1898bc5d6604d72b6db4f6be901e6a3": {
          "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_70ec5f4c6c6f447781b68b5d9e53621a",
            "placeholder": "​",
            "style": "IPY_MODEL_31ca88f346784c2da2b84ec01e9a8d56",
            "value": " 469/469 [00:12&lt;00:00, 45.30it/s]"
          }
        },
        "709640f7a4424f358a05910ce9e342d0": {
          "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
          }
        },
        "87cb292689424efc9bb1a07ff7ca01e6": {
          "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
          }
        },
        "bea2fb8eda54438fa51941ec7200003f": {
          "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": ""
          }
        },
        "d1a8d65aff784dba819f19a2af23bdb0": {
          "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
          }
        },
        "36da7b3a875241a2a872142ea8175229": {
          "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": ""
          }
        },
        "70ec5f4c6c6f447781b68b5d9e53621a": {
          "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
          }
        },
        "31ca88f346784c2da2b84ec01e9a8d56": {
          "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": ""
          }
        },
        "93a3f88995774f2cb6ada2675aa27472": {
          "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_8d710dc735b4440a925a066e1137c3c4",
              "IPY_MODEL_34c35e1f17fb4f5fbda6d3e615d1601e",
              "IPY_MODEL_44b0b1bb1d384d8180883e9199cf94b6"
            ],
            "layout": "IPY_MODEL_8bcd98dd6f4f4504ba2a2bb0d015849e"
          }
        },
        "8d710dc735b4440a925a066e1137c3c4": {
          "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_1d51268b364d4180bf0740031aa87063",
            "placeholder": "​",
            "style": "IPY_MODEL_34c92c97045347d7b78def5c61104a45",
            "value": " 34%"
          }
        },
        "34c35e1f17fb4f5fbda6d3e615d1601e": {
          "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": "danger",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b103db1fc1334fff903461f23dd74d6a",
            "max": 469,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_e6456631545643a7b910a407d10e790e",
            "value": 161
          }
        },
        "44b0b1bb1d384d8180883e9199cf94b6": {
          "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_882e7c1463c54d909b19e3d697bbd51e",
            "placeholder": "​",
            "style": "IPY_MODEL_6ba734f3a6f5400f9ed6c867699c206b",
            "value": " 161/469 [00:03&lt;00:06, 44.73it/s]"
          }
        },
        "8bcd98dd6f4f4504ba2a2bb0d015849e": {
          "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
          }
        },
        "1d51268b364d4180bf0740031aa87063": {
          "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
          }
        },
        "34c92c97045347d7b78def5c61104a45": {
          "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": ""
          }
        },
        "b103db1fc1334fff903461f23dd74d6a": {
          "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
          }
        },
        "e6456631545643a7b910a407d10e790e": {
          "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": ""
          }
        },
        "882e7c1463c54d909b19e3d697bbd51e": {
          "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
          }
        },
        "6ba734f3a6f5400f9ed6c867699c206b": {
          "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/rswijesena/AI/blob/main/Basic_Image_Gen.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "KYKQVVfSH4Sc"
      },
      "outputs": [],
      "source": [
        "# import the libraries\n",
        "import torch, pdb\n",
        "from torch.utils.data import DataLoader\n",
        "from torch import nn\n",
        "from torchvision import transforms\n",
        "from torchvision.datasets import MNIST\n",
        "from torchvision.utils import make_grid\n",
        "from tqdm.auto import tqdm\n",
        "import matplotlib.pyplot as plt\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# visualization function\n",
        "def show(tensor, ch=1, size=(28,28), num=16):\n",
        "  # tensor 128 x 784\n",
        "  data = tensor.detach().cpu().view(-1, ch, *size)\n",
        "  grid = make_grid(data[:num], nrow = 4).permute(1,2,0)\n",
        "  plt.imshow(grid)\n",
        "  plt.show()\n"
      ],
      "metadata": {
        "id": "i8fkEZhcKcHj"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# setup if the main parameters and hyperparameters\n",
        "epochs = 500\n",
        "cur_step = 0\n",
        "info_step = 300\n",
        "mean_gen_loss = 0\n",
        "mean_disc_loss = 0\n",
        "\n",
        "z_dim = 64\n",
        "lr = 0.00001\n",
        "loss_func = nn.BCEWithLogitsLoss()\n",
        "\n",
        "bs = 128\n",
        "device = 'cuda'\n",
        "\n",
        "dataloader = DataLoader(MNIST('.', download=True, transform=transforms.ToTensor()), shuffle=True, batch_size=bs)\n",
        "\n",
        "#number of steps = 60000 / 128 = 468.75"
      ],
      "metadata": {
        "id": "pxLjv98IR4UG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e39b924c-3dc4-4cb3-a419-dadcff554df4"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz\n",
            "Failed to download (trying next):\n",
            "HTTP Error 403: Forbidden\n",
            "\n",
            "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz\n",
            "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz to ./MNIST/raw/train-images-idx3-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 9912422/9912422 [00:01<00:00, 5096631.62it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting ./MNIST/raw/train-images-idx3-ubyte.gz to ./MNIST/raw\n",
            "\n",
            "Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz\n",
            "Failed to download (trying next):\n",
            "HTTP Error 403: Forbidden\n",
            "\n",
            "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz\n",
            "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz to ./MNIST/raw/train-labels-idx1-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 28881/28881 [00:00<00:00, 133561.60it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting ./MNIST/raw/train-labels-idx1-ubyte.gz to ./MNIST/raw\n",
            "\n",
            "Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz\n",
            "Failed to download (trying next):\n",
            "HTTP Error 403: Forbidden\n",
            "\n",
            "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz\n",
            "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz to ./MNIST/raw/t10k-images-idx3-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 1648877/1648877 [00:01<00:00, 1272026.80it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting ./MNIST/raw/t10k-images-idx3-ubyte.gz to ./MNIST/raw\n",
            "\n",
            "Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz\n",
            "Failed to download (trying next):\n",
            "HTTP Error 403: Forbidden\n",
            "\n",
            "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz\n",
            "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz to ./MNIST/raw/t10k-labels-idx1-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 4542/4542 [00:00<00:00, 10347924.37it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting ./MNIST/raw/t10k-labels-idx1-ubyte.gz to ./MNIST/raw\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# decalare our model\n",
        "\n",
        "#Generator\n",
        "\n",
        "def genBlock(inp, out):\n",
        "  return nn.Sequential(\n",
        "      nn.Linear(inp,out),\n",
        "      nn.BatchNorm1d(out),\n",
        "      nn.ReLU(inplace=True)\n",
        "  )\n",
        "class Generator(nn.Module):\n",
        "  def __init__(self, z_dim=64, i_dim=784, h_dim = 128):\n",
        "    super().__init__()\n",
        "    self.gen = nn.Sequential(\n",
        "        genBlock(z_dim, h_dim), #64 128\n",
        "        genBlock(h_dim, h_dim*2), #128 , 256\n",
        "        genBlock(h_dim*2, h_dim*4), # 256 , 512\n",
        "        genBlock(h_dim*4, h_dim*8), # 512, 1024\n",
        "        nn.Linear(h_dim*8, i_dim), # 1024, 784 (28*28)\n",
        "        nn.Sigmoid()\n",
        "    )\n",
        "  def forward(self, noice):\n",
        "    return self.gen(noice)\n",
        "\n",
        "def gen_noise(number, z_dim):\n",
        "  return torch.randn(number,z_dim).to(device)\n",
        "\n",
        "## Discriminator\n",
        "def discBlock(inp, out):\n",
        "  return nn.Sequential(\n",
        "      nn.Linear(inp, out),\n",
        "      nn.LeakyReLU(0.2)\n",
        "  )\n",
        "\n",
        "class Discriminator(nn.Module):\n",
        "  def __init__(self, i_dim=784, h_dim=256):\n",
        "    super().__init__()\n",
        "    self.disc=nn.Sequential(\n",
        "        discBlock(i_dim, h_dim*4), #784 1024\n",
        "        discBlock(h_dim*4, h_dim*2), #1024 512\n",
        "        discBlock(h_dim*2, h_dim), #512 256\n",
        "        nn.Linear(h_dim, 1) #256 1\n",
        "    )\n",
        "\n",
        "  def forward(self, image):\n",
        "      return self.disc(image)\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "4JVf8b9qinkb"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "gen = Generator(z_dim).to(device)\n",
        "gen_opt = torch.optim.Adam(gen.parameters(), lr=lr)\n",
        "disc = Discriminator().to(device)\n",
        "disc_opt = torch.optim.Adam(disc.parameters(), lr=lr)"
      ],
      "metadata": {
        "id": "NwR86qFYpx0x"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "gen"
      ],
      "metadata": {
        "id": "fKMRprn6FxaL",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7e2185aa-9075-445d-bc2d-891d949fae43"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Generator(\n",
              "  (gen): Sequential(\n",
              "    (0): Sequential(\n",
              "      (0): Linear(in_features=64, out_features=128, bias=True)\n",
              "      (1): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (2): ReLU(inplace=True)\n",
              "    )\n",
              "    (1): Sequential(\n",
              "      (0): Linear(in_features=128, out_features=256, bias=True)\n",
              "      (1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (2): ReLU(inplace=True)\n",
              "    )\n",
              "    (2): Sequential(\n",
              "      (0): Linear(in_features=256, out_features=512, bias=True)\n",
              "      (1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (2): ReLU(inplace=True)\n",
              "    )\n",
              "    (3): Sequential(\n",
              "      (0): Linear(in_features=512, out_features=1024, bias=True)\n",
              "      (1): BatchNorm1d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (2): ReLU(inplace=True)\n",
              "    )\n",
              "    (4): Linear(in_features=1024, out_features=784, bias=True)\n",
              "    (5): Sigmoid()\n",
              "  )\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x,y = next(iter(dataloader))\n",
        "print(x.shape, y.shape)\n",
        "print(y[:10])\n",
        "\n",
        "noise = gen_noise(bs, z_dim)\n",
        "fake = gen(noise)\n",
        "show(fake)\n"
      ],
      "metadata": {
        "id": "jhV22ZOnIfGR",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 469
        },
        "outputId": "994b26f4-2df6-4959-966e-4fb0829390f8"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([128, 1, 28, 28]) torch.Size([128])\n",
            "tensor([8, 8, 3, 3, 4, 8, 8, 0, 9, 8])\n"
          ]
        },
        {
          "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": [
        "#calculation the loss\n",
        "# generator loss\n",
        "\n",
        "def calc_gen_loss(loss_func, gen, disc, number, z_dim):\n",
        "  noise = gen_noise(number, z_dim)\n",
        "  fake = gen(noise)\n",
        "  pred = disc(fake)\n",
        "  targets = torch.ones_like(pred)\n",
        "  gen_loss = loss_func(pred, targets)\n",
        "\n",
        "  return gen_loss\n",
        "\n",
        "def calc_disc_loss(loss_func, gen, disc, number, real, z_dim):\n",
        "  noise = gen_noise(number, z_dim)\n",
        "  fake = gen(noise)\n",
        "  disc_fake = disc(fake.detach())\n",
        "  disc_fake_targets= torch.zeros_like(disc_fake)\n",
        "  disc_fake_loss = loss_func(disc_fake, disc_fake_targets)\n",
        "\n",
        "  disc_real = disc(real)\n",
        "  disc_real_targets= torch.ones_like(disc_real)\n",
        "  disc_real_loss = loss_func(disc_real, disc_real_targets)\n",
        "\n",
        "  disc_loss = (disc_fake_loss + disc_real_loss) /2\n",
        "\n",
        "  return disc_loss\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "0X_frJtyKbVK"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "### 60000 / 128 468.75 = 469 steps in each epoch\n",
        "\n",
        "for epoch in range(epochs):\n",
        "  for real, _ in tqdm(dataloader):\n",
        "    ### Discriminator\n",
        "    disc_opt.zero_grad()\n",
        "\n",
        "    cur_bs = len(real) # real : 128 x 1 x 28 x28\n",
        "    real = real.view(cur_bs, -1) # 128 x 784\n",
        "    real = real.to(device)\n",
        "\n",
        "    disc_loss = calc_disc_loss(loss_func,gen,disc,cur_bs,real, z_dim)\n",
        "    disc_loss.backward(retain_graph=True)\n",
        "    disc_opt.step()\n",
        "\n",
        "    ##Generator\n",
        "    gen_opt.zero_grad()\n",
        "    gen_loss = calc_gen_loss(loss_func, gen, disc, cur_bs, z_dim)\n",
        "    gen_loss.backward(retain_graph=True)\n",
        "    gen_opt.step()\n",
        "\n",
        "    ## Visualizaiton\n",
        "    mean_disc_loss += disc_loss.item()/info_step\n",
        "    mean_gen_loss += gen_loss.item()/info_step\n",
        "\n",
        "    if cur_step % info_step == 0 and cur_step >0:\n",
        "      fake_noise = gen_noise(cur_bs, z_dim)\n",
        "      fake = gen(fake_noise)\n",
        "      show(fake)\n",
        "      show(real)\n",
        "      print(f\"{epoch} : step {cur_step} / Gen Loss {mean_gen_loss} / Disc Loss {mean_disc_loss}\")\n",
        "      mean_gen_loss = 0\n",
        "      mean_disc_loss = 0\n",
        "    cur_step += 1\n"
      ],
      "metadata": {
        "id": "oJxqIxKuZBSk",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "31d1989357a54c008fce650bdf9639b2",
            "2c50f0e59568493b993779cb2a91d10e",
            "9e4908ef11d54f679a84cd4f473240d2",
            "711dc08cd8d340289a9e83af3e10a976",
            "5358f4bbf7d6436cb050ad4216dc9708",
            "163b1b44b50f45b88b5dd9c5fca75196",
            "ec22c2122fab463aa5177c554dc7f589",
            "e1ad124de0804b9fb0052b72644fdf12",
            "b69abf74d2af463e985392fd25c22e15",
            "0d1ae8ed858a4cbebb3d5a43821775a0",
            "33b240d1c27e48009edcfd26f7cfe485",
            "23d466ffc33b423ab554b3c3f4199d51",
            "c819bf12b37543f889b82d5207adb18b",
            "20441b4741504c85b7a1aad36a87cd0f",
            "03ac8a7c7c184a22a8c8e8fb171001c2",
            "a19920458bd247bbbff2d93f403123f9",
            "f7babdbb1a8d47c8b7e99f0f38dc2e2f",
            "e00090a59dc441829cbd4092d8bd93d4",
            "6b6b2995cbd0425283af847a14d23c73",
            "596f497736ee47bcb09a046b993aaedb",
            "d2313d3794ed4a158cfbc557329d0d61",
            "13cf21940ffb43fea0ed6286f675c8c3",
            "4e162187e644497781005d56f851e642",
            "29d174f0634a4999868a5d803f06e501",
            "4dde0073ebce4845a4d2930f0f6c9840",
            "9e115036235642ebbe03ff23125cf32e",
            "39f5eea77b2141d6ad76b7519f9bb660",
            "4680acb0bd314462a3a040a0f8349625",
            "386f5ce6439e4df0bbab5b818a141a2b",
            "ee6798378c91461ba4007e878ac07ddd",
            "176c0dc05b1d4c2db1c131dfe255a033",
            "742388ac4b5246e7a8f6950008bd2cce",
            "eb5fa0dc97c94e789e5cb4def3737aae",
            "1bdf79a8e09d4a39acaf070d3bbe2024",
            "182b53ecf196440e82f638876a481635",
            "13acf374bc654321b1c76e7801ad4419",
            "30b1be1dccc2466da984477057816668",
            "0c0ca9151849403f80408ecdb0516443",
            "f43bc598a7e1465380e35bf62eccaf48",
            "1cb23dae00e74b01ba56bcea53afaa8a",
            "8df9abbdc99b415e95cdc99556544f92",
            "99542ae7acb44af8b436680ed7fbc357",
            "329932b07ecb448fb2011e6eadc6b043",
            "3804fc72e6e14f8897b49ec7ed640eeb",
            "296ba20144054ca8b736d3b562a072de",
            "93f927118c0a44aaa12f2a70ecfd35a1",
            "3fedb4d153564805bc257967f1aeec41",
            "5d387ec91d7f4a0ba38965d05c3fbb3c",
            "ef97e8a72f754de39c101751fd8cabc8",
            "5e2317d00a3c4b8da6a397ded1c06252",
            "b609ebc257e945098a228ae24e6e376c",
            "29515bb983154cdd9c5bcd9ca85f1e3f",
            "2e8eeacc2e6c4ae8b8bf1c917c005106",
            "2d1ce5e916df41e6b74227e6ad8a98d4",
            "ac46c63045384007b9abf88b2bb6e45c",
            "fd10a5e5607e402b9042d466cfa8ed60",
            "13287cb4456140ab9d00e0446c1c1c9f",
            "a05262e68a4243f989b866c6dc3a691e",
            "e1898bc5d6604d72b6db4f6be901e6a3",
            "709640f7a4424f358a05910ce9e342d0",
            "87cb292689424efc9bb1a07ff7ca01e6",
            "bea2fb8eda54438fa51941ec7200003f",
            "d1a8d65aff784dba819f19a2af23bdb0",
            "36da7b3a875241a2a872142ea8175229",
            "70ec5f4c6c6f447781b68b5d9e53621a",
            "31ca88f346784c2da2b84ec01e9a8d56",
            "93a3f88995774f2cb6ada2675aa27472",
            "8d710dc735b4440a925a066e1137c3c4",
            "34c35e1f17fb4f5fbda6d3e615d1601e",
            "44b0b1bb1d384d8180883e9199cf94b6",
            "8bcd98dd6f4f4504ba2a2bb0d015849e",
            "1d51268b364d4180bf0740031aa87063",
            "34c92c97045347d7b78def5c61104a45",
            "b103db1fc1334fff903461f23dd74d6a",
            "e6456631545643a7b910a407d10e790e",
            "882e7c1463c54d909b19e3d697bbd51e",
            "6ba734f3a6f5400f9ed6c867699c206b"
          ]
        },
        "outputId": "92467b61-d06e-4a91-f1ed-e9ccbc86ce11"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/469 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "31d1989357a54c008fce650bdf9639b2"
            }
          },
          "metadata": {}
        },
        {
          "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": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0 : step 300 / Gen Loss 2.153526673913002 / Disc Loss 0.3254420887182157\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/469 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "23d466ffc33b423ab554b3c3f4199d51"
            }
          },
          "metadata": {}
        },
        {
          "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": "iVBORw0KGgoAAAANSUhEUgAAAbIAAAGhCAYAAAAEMTEpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABB9UlEQVR4nO3deVhU1f8H8A+I4AoIJkiKkhvumguiVpYUlrlipaKSmn7dyqVySbGyFLevmRummVZupbmkpaZoLr8QFdTclzR3cAsGN0S4vz96/Hw/FwcYYBbOzPv1PPM875m5c+fcATnez5x7jpOmaRoBAAAoytnWDQAAACgIdGQAAKA0dGQAAKA0dGQAAKA0dGQAAKA0dGQAAKA0dGQAAKA0dGQAAKA0dGQAAKA0dGQAAKA0m3Vkc+fOpcqVK1OxYsUoKCiI9u3bZ6umAACAwmzSkf3www80YsQI+vjjjykhIYHq169PoaGhdP36dVs0BwAAFOZki0mDg4KCqEmTJjRnzhwiIsrMzKSKFSvSu+++S6NHj8719ZmZmXT16lUqXbo0OTk5Wbq5AABgZpqmUWpqKvn5+ZGzc8HOqVzM1CaTPXz4kOLj42nMmDH8mLOzM4WEhFBsbKzR16SlpVFaWhrfv3LlCtWqVcvibQUAAMu6dOkSVahQoUD7sHpp8ebNm5SRkUE+Pj66x318fCgxMdHoa6KiosjDw4Nv6MQAAOxD6dKlC7wPJUYtjhkzhlJSUvh26dIlWzcJAADMwBxfD1m9tFi2bFkqUqQIJSUl6R5PSkoiX19fo69xc3MjNzc3azQPAAAUY/UzMldXV2rUqBHFxMTwY5mZmRQTE0PBwcHWbg4AACjO6mdkREQjRoygiIgIaty4MTVt2pRmzpxJd+/epd69e9uiOQAAoDCbdGRvvfUW3bhxg8aPH0+JiYnUoEED2rx58xMDQAAAAHJjk+vICspgMJCHh4etmwEAAAWUkpJC7u7uBdqHEqMWAQAAsoOODAAAlIaODAAAlGaTwR7wpJYtW3L++OOPOS9evJjz8uXLrdomAAAV4IwMAACUho4MAACUhtKiDfn7+3NesGABZ7mkwfr1663aJgAA1eCMDAAAlIaODAAAlIbSog29+eabnGvUqMF5w4YNnO/evWvVNtmLr7/+Wne/T58+nBs3bsw5ISHBam0CAMvAGRkAACgNHRkAACgNpUUrCgkJ0d3v27ev0e0GDhxojebYterVq+vuy7mxO3XqxBmlRfP6/vvvs32uZ8+eVmyJ45ET7zZp0oRzt27dOMvJ1sPCwjjLVZrlv5Vt27Zx3rhxI+dZs2aZocXmgzMyAABQGjoyAABQGkqLVjRhwgTdfTlScerUqZyvXbtmtTY5otq1a9u6CXYr6/KGzz33HOeyZctyvnnzptXapCI5KUKDBg04jx49mnOdOnV0rylRogTnihUr5voe2S1FKR9v3bo1ZzmaurDBGRkAACgNHRkAACgNpUULGzFiBGc5koiI6MKFC5yjo6Ot1iZHsGrVKt39Fi1acG7btq21m+Mw9uzZo7vfo0cPznJuUZQWn+Tt7c15zpw5nOXECTnJbuRhXFwc58TERKOv7dixY677L8zLSOGMDAAAlIaODAAAlIbSooXJixHlSCQioh9//JGzLDNCwWVd/mbGjBmcsxutBeYnP+uaNWtyxoXo//L09OR89uxZzvLi5uxk/Zshv5746aefOF++fJnzw4cPje5LXsjevXt3o9vIC6KDg4NzbZ814YwMAACUho4MAACUhtKihTVq1Ihz1pLW9u3brd0chyFHgBHpR3SB5WQdjSg/95YtW3JetmyZ1dpU2MhyorzIWM6DKP9WyBLilClTOK9YsUK3X4PBkKd2vP7665yzzgNrjCnlTlvBGRkAACgNHRkAACgNpUULkKOHZGll8+bNuu22bNlitTY5mnr16unuo7RoG7JEdvLkSRu2pPDw9fXlLC/Ul7+jskT7zDPPFOj9ZJn9yy+/5CxHJ2Z3MbV048aNArXDknBGBgAASkNHBgAASkNp0UyKFi3KWZa15Gl6TEyMVdsExsm558C85FItRET379/njFL6k7Ir4xUrVoxz1apVOcuLpnNSpkwZznJyAHkhc3bvnZGRwXn69Omcp02bZtJ72wLOyAAAQGnoyAAAQGkoLZrJyy+/zLlZs2ZGt+nQoYPuvlziQpIjiP755x/O8mLIrCMgQS+nUYpHjx61YkscS2BgoO7+iRMnOGPUoulKlizJuVatWpxzKi2GhoZyliVB+frs3Lp1i7Mc2fj555/n3thCAGdkAACgNHRkAACgNJQWzWTixIm5biMvfszJtWvXOFerVo2zXKG1du3aRreHf2Wda1HCMi6W89xzz9m6CYXemTNnOM+dO5fzkCFDjG7fqlUrzlu3buWcdX7EH374gbObm1uu7UhOTub82muvcd6/f3+ury1scEYGAABKQ0cGAABKQ0cGAABKw3dkBdCpUyfO/v7+nOXQbznU++2339a9Xtaoz507Z/Q9Zs+ezXnw4MGcJ0+ezDkiIsL0RjuIrJc6gOU89dRTnLPO7JF1fTLQz5whv1vP7juyoUOHcn7ppZc4161bV7edKRP/yr857dq146zi92ISzsgAAEBp6MgAAEBpKC3mkSwn/vjjj5ydnf/3fwJ5Wh8UFMRZTqBqqq+//przoEGDOD/77LN53pcjyWlmD6xNZl6yrC4zEUqLuUlKSuLct29fzosWLTK6fdZ19iT5e52ens45KiqKs/xK4sGDB3lrbCGGMzIAAFAaOjIAAFAaSot5JE//5YS+ciaJ48ePc85POdEUpkwE6shymr0DM3tYDj7bvPH09OTcuHFjzvn5HC9fvsx55MiRnFeuXJm/xikEZ2QAAKA0dGQAAKA0lBbz6PXXX+dcv359zgkJCZzj4+Ot2iYAW5IjE+W6VmBc8+bNOa9fv56z/HoiP6XF1NRUzhs3bsxn69Rk9jOyqKgoatKkCZUuXZrKlStHHTt2pFOnTum2efDgAQ0ePJi8vb2pVKlSFBYWphuGCgAAYCqzd2Q7d+6kwYMH0969e2nr1q2Unp5Or7zyCt29e5e3GT58OG3YsIFWrVpFO3fupKtXr1Lnzp3N3RQAAHAAZi8tbt68WXd/yZIlVK5cOYqPj6fnn3+eUlJSaNGiRbR8+XKeN2zx4sVUs2ZN2rt3LzVr1szcTbIKeTFiy5YtC7QvWWLo1q2b0fe4evVqgd7D3h08eFB3X/5McEG0eck1yLKuA7dlyxZrN6dQkuXEDRs2cJajFrMjRyOWKFGCs5eXl267mjVrcpZrk7Vt2zZPbVWRxQd7pKSkENH/PvT4+HhKT0/XLQoXGBhI/v7+FBsba3QfaWlpZDAYdDcAAAAiC3dkmZmZNGzYMGrRogXVqVOHiIgSExPJ1dX1if+J+Pj4UGJiotH9REVFkYeHB98qVqxoyWYDAIBCLDpqcfDgwXT06FHas2dPgfYzZswYGjFiBN83GAyFojOT5T2ZAwICOK9evZrztGnTdK+Xc53J13Tv3p1zWFgYZ3kmmnWZc9CTo0iJ9KPAcNGueeVUtl23bp2VW1N4NGnShLMcnWhKOfGnn37iPGnSJM5yGZapU6fqXtOlSxfO7u7ueWmq8izWkQ0ZMoQ2btxIu3btogoVKvDjvr6+9PDhQ0pOTtb9QJOSksjX19fovtzc3MjNzc1STQUAAIWZvbSoaRoNGTKE1q5dS9u3b9edaRARNWrUiIoWLUoxMTH82KlTp+jixYsUHBxs7uYAAICdM/sZ2eDBg2n58uW0fv16Kl26NH/v5eHhQcWLFycPDw/q27cvjRgxgry8vMjd3Z3effddCg4OVm7E4o0bNzjPmzeP87hx4zjLywrkEjA5keUZWU6U+z158mTeGutgevToobsvP1OMWrScrGXbNWvW2KglthcZGck562hOYwIDAzmfPn061+2zjgh94403ONeuXZuzHN14+/btXPerIrN3ZNHR0URE1KpVK93jixcvprfffpuIiL744gtydnamsLAwSktLo9DQUF1HAAAAYCqzd2SmfJFerFgxmjt3Ls2dO9fcbw8AAA4Gcy2aiRxZJC8KHzp0KGc5qojo3w79sXPnznGWI5Yen+ESEV24cME8jXUA8rMl0v8Hq1q1apxffvllzlu3brV8w+yQvBB34cKFNmxJ4VK1alXO2f0H/5NPPuFsSjlRyjoATr5HZmYm54cPH+ZpvyrC7PcAAKA0dGQAAKA0lBYtQF6MGxERYTSDdcmRiq1bt+YsS7cA5nTx4kXONWrUMLqNv78/5w4dOnCWZUO5crQsi+c0p2tGRgbnO3fumNhideGMDAAAlIaODAAAlIbSItil6dOn6+7LUVxr1641miF/nn/+ec7Hjx+3YUsKFzmSWc5aVKpUKc59+vTh3LdvX875mQ/03r17nH/99dc8v15lOCMDAACloSMDAAClOWkKrmlhMBjIw8PD1s0AACI6duwY5127dumeGzhwoLWbUyiFhoZynjJlCue6detyliNr5Z9lORGCnGz9l19+0b3HX3/9xfnIkSMFbLH1pKSkFHjZGZyRAQCA0tCRAQCA0lBaBAAAm0FpEQAAHB46MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUBo6MgAAUJqLrRvgyMaOHcv5s88+46xpGucXX3yR865du6zTMAAAheCMDAAAlIaODAAAlIbSohV17txZd3/06NGcZTlR5sDAQM4oLZquRYsWuvv169fnHBMTw7lfv36ca9SowTk+Pt7o9rt37zZrO+1B8eLFOVesWFH3XLNmzTi3a9eOc1hYGOe7d+9yXrx4Mefo6GjOJ06cME9jwS7hjAwAAJSGjgwAAJTmpMk6liIMBgN5eHjYuhkmkeXE1atX656TH72TkxPnGzducG7VqhVnlFee9Oyzz3KeOHEi55YtW+q2K1myJOe0tDTO33//PefSpUtzrlatmtH3mDdvHudRo0ZxluUxR/DKK69w7t69O+eePXua7T0uX77MuXXr1pzPnj1rtvcA20tJSSF3d/cC7QNnZAAAoDR0ZAAAoDSUFi2gZs2anPft28e5RIkSuu3kR79nzx7OI0aM4JyQkGCJJirt1Vdf5fztt99yPnToEOerV6/qXlOqVCnOsiT4119/GX2PIkWKcH7nnXc4f/rpp5wPHz7MOTQ01JSmK6dcuXKc165dy7lp06acnZ0t///hP//8k3PDhg0t/n75Jb9KkKM0q1atylmWRvfu3cv55MmTRvd5584dzhkZGZzl77vKUFoEAACHh44MAACUhguiLeDzzz/nLMuJcmQikb5UExkZyRmjE58ky0lTpkzhPGHCBM7z58/n/OjRowK9nyzhfPXVV5xv3rzJedGiRZzlqEh7GsHYo0cPzvLi5oKSJV35WVevXt3o9t7e3pzl6NLU1FSztckcGjRowDkiIsLoNvJi/ey2kR4+fMhZfh1x7do13Xb79+/nPG7cOM5nzpzJ9T1UZ/EzssmTJ5OTkxMNGzaMH3vw4AENHjyYvL29qVSpUhQWFkZJSUmWbgoAANghi3Zk+/fvp6+++orq1aune3z48OG0YcMGWrVqFe3cuZOuXr36xPRNAAAAprBYafHOnTsUHh5OCxcu1JXaUlJSaNGiRbR8+XJ66aWXiOjf+dVq1qxJe/fuNWv5wppkR9yxY0fOOQ0KnTRpEmeUE58kL66dPn06Zzkf35w5c6zapt9++42zHE3m4mI/VXp5LK+99lqeXnvp0iXdfTk35TfffMP5wIEDnGXpTH6+8qL2MmXKcJblRzknZmEwfvx4zr///jvnrF8rGOPm5sa5W7duRreRc69mLWF36NCBsxwFKEf52iuLnZENHjyY2rZtSyEhIbrH4+PjKT09Xfd4YGAg+fv7U2xsrNF9paWlkcFg0N0AAACILHRGtnLlSkpISNB9+fhYYmIiubq6kqenp+5xHx8fSkxMNLq/qKgo3fU7AAAAj5m9I7t06RINHTqUtm7dSsWKFTPLPseMGaO7SNhgMDyxXIStlS1blnN2ZQRZdiDCxc7G+Pr6cv7uu+84ywvL5fI31iZHyV25csVm7bCkzMxMznK+w3v37nGW81XKrw7kBepERP/880+u7ycvqE5OTja6zYMHDzjfunUr130WBtu3b8/3a3/99Vejj+d08fn169c5y4pXkyZNOBs7ubAHZi8txsfH0/Xr1+nZZ58lFxcXcnFxoZ07d9KsWbPIxcWFfHx86OHDh0/8wiYlJen+iElubm7k7u6uuwEAABBZ4IysdevWdOTIEd1jvXv3psDAQBo1ahRVrFiRihYtSjExMby43qlTp+jixYsUHBxs7uYAAICds8pci61ataIGDRrQzJkziYho4MCB9Ouvv9KSJUvI3d2d3n33XSIi+uOPP0zaX2GZa/Gpp57iLEsBctkP+fHa08g2S5k9ezbnF198kfOgQYM4F5aVsuWIPllaliVRyJ28iDi7UYh///035ypVqli4RWqSF+t7eXlx7tq1K+cff/zRqm0yhTnmWrTJX9YvvviCnJ2dKSwsjNLS0ig0NFS3zhMAAICprNKRyespiIiKFStGc+fOpblz51rj7QEAwI6h1lUAjRo14izLiXLUorzoOSfDhw/nLC+olkvCyH09LtPaGzm3X3R0NOfCUk6U5MW7rq6uNmyJ2uS8gNlxhPkCC+r8+fOcZWnx5Zdf5lwYS4vmgNnvAQBAaejIAABAaSgtFkB2cyrK0UMLFy7M9vVjx47lLJcjkfuSZUo532B4eDhnOSdhdqvMqkIeb3arNxcWcm68okWLcpYXDoNxvXv35typU6dct5cXXYNxO3fu5Cy/9pCreRcvXpzz/fv3rdMwK8AZGQAAKA0dGQAAKA2lxQKQF0TLktjFixeN5uPHj+teX6NGDaOvl7J7XJYOKlWqxFn10qIsq546dcqGLcldmzZtOMsy4/Lly23RHJuRU8tlN/E3EVHVqlU5jxo1Kk/vERcXl/eGgcPAGRkAACgNHRkAACgNHRkAACgN35EVQHbD7yU5M4f8Tiyn10ycOJHzunXrOMvJaOV+x4wZw3nLli05N7qQM2VJ+MJCThq8ceNGG7bEcuQMEW3btuXcp08fzpUrV+aclJSU7b7kZL9yv9mRs3nINdIgb+S6efY05F7CGRkAACgNHRkAACgNpcU8ev755zlnVwaTM3t89NFHuW5PRPTll19yHj9+vNFtZs2axXn+/Pmcn3vuuRxarJbbt29zlqWoPXv22KI5OZKl4s8++8yGLckfuT5ekyZNOMuJZeU6UaVKlcp1n/7+/mZqHVFqaipnOSPFnTt3zPYetiB/r/O6Dterr77KedOmTbrnmjdvbvQ1ctJg+ZXEiRMn8vTehRnOyAAAQGnoyAAAQGkoLeZRYGAgZznqUGZ5yt6vXz+j22S9n9cZObJ7b9XFxsZylhMpr169mvPdu3et2qbsyLKQLM39/fffNmiNaWTpT5anQ0NDbdGcHMk1/uSo0M6dO3OWpWhVzJkzh3NBPndTJ1IuUqQI523btnGWa/xFRERwfvjwYb7bZCs4IwMAAKWhIwMAAKWhtFgA2Y1ClJMJy9F2OZURZJmnYsWKnCMjIznLMqV87927d5vY4sLPYDBwlp+Dt7c3Z1uWFnv16sXZx8eHc9YRZIXJgAEDOMs18Pz8/GzRnHyRI3P79u3Ledq0abZoToEsW7aMs/yqQk7+nR9yUvKnn36as4eHB2f5M3/rrbc4y39T77zzToHaYQs4IwMAAKWhIwMAAKU5aQoOeTMYDLrTZWsqW7YsZzmvnPwYDx48yFlewNijRw/dvuRcjbJ0smbNGs7y4uh9+/ZxLlGihNH3+O2333I/iEJMfr5yJOfUqVONZmu7d++e0XZ88sknNmhN9mSpWpbinJ1t93/XY8eOcZYlTjn/X/v27TmHh4dz9vT05CznXZTHJuciVUXJkiU5FytWrED7kr+bO3fu5Ny4cWPO8sJ9OcFCeno6Z1net4aUlJQ8XxieFc7IAABAaejIAABAaRi1mEdyHsVbt25xlqPqZLlAnu7PnDlTt6+s9x+TF3z+9NNPnGU5UZZjLl68aELL1SA/36+++orz5MmTOc+ePZuzpZalcHV15Tx8+HDOsjw2Y8YMi7y3OfTv35+zLb89kCPp5LI3ly9fNrq9vGD3iy++4Cx/Fxo0aMDZ19fXHM20GTla0JyjcTMyMow+Lv+9yL9fqsMZGQAAKA0dGQAAKA2lxQKQowvlRYRyeQ850lCOEspKXuwsL5KU5URZIurZsyfnvM7TqAq5tM3AgQM5y8+9S5cunAtampHLmsh57D744APOkyZN4mzt0V0qiIqK0t2XP8MbN27kaV/nz5/n/Morr3CW80XmtCK1I1u6dCnnoKAgzvJCaXuCMzIAAFAaOjIAAFAaSosFIC8+lvMoVq5cmbNckVWOvCLSX9gpL1TN7nF5QfXatWvz2Wp1XL9+nXPv3r05r1ixgrMcRSjLu1lXlH7w4IHR9yhdujTnsLAwznKkory4+NNPPzWp7fZOjqaVy+3InweRZUZM2tMoXWuzp5GKEs7IAABAaejIAABAaSgtFoAcPSdXW5XzmXXq1ImzXN6FSF92kWU0ud+FCxdyttfRiaZYv3495zp16nCeN28eZ1nqzXrBrRw9KpdfkRfXyrnu5Oc+aNCgfLbaduSKym3bts3Ta+XFtCtXruT8ww8/cJYXLqelpeWniWADrVu35ixLwvLrDBXhjAwAAJSGjgwAAJSGZVxAaW5ubpybNm3KOesIUXmR+dGjRzmfPXuW84gRIzj//fff5mym1ckLxadPn85Zrrq9Y8cOznK04TfffMP58OHDlmoiWFDdunU5y5+hnPtV/nuRc2JaG5ZxAQAAh4eODAAAlIbSIgCAnSlatCjnhIQEznIe2ODgYM7x8fHWaZgRKC0CAIDDQ0cGAABKwwXRAAB2Jj09nXN0dDTnyMhIzikpKVZtkyXhjAwAAJSGjgwAAJSGUYsAAGAzGLUIAAAODx0ZAAAoDR0ZAAAozSId2ZUrV6hHjx7k7e1NxYsXp7p169KBAwf4eU3TaPz48VS+fHkqXrw4hYSE0JkzZyzRFAAAsHNm78j++ecfatGiBRUtWpQ2bdpEx48fp//+979UpkwZ3mbq1Kk0a9Ysmj9/PsXFxVHJkiUpNDSUHjx4YO7mAACAvdPMbNSoUVrLli2zfT4zM1Pz9fXVpk2bxo8lJydrbm5u2ooVK0x6j5SUFI2IcMMNN9xwU/yWkpJS4H7H7GdkP//8MzVu3JjeeOMNKleuHDVs2FC3bPz58+cpMTGRQkJC+DEPDw8KCgqi2NhYo/tMS0sjg8GguwEAABBZoLR47tw5io6OpmrVqtGWLVto4MCB9N5779G3335LRESJiYlEROTj46N7nY+PDz+XVVRUFHl4ePBNLg4IAACOzewdWWZmJj377LM0adIkatiwIfXv35/69etH8+fPz/c+x4wZQykpKXy7dOmSGVsMAAAqM3tHVr58eapVq5busZo1a9LFixeJiMjX15eIiJKSknTbJCUl8XNZubm5kbu7u+4GAABAZIGOrEWLFnTq1CndY6dPn6ZKlSoREVFAQAD5+vpSTEwMP28wGCguLk630BsAAIBJCjxcJIt9+/ZpLi4u2sSJE7UzZ85oy5Yt00qUKKEtXbqUt5k8ebLm6emprV+/Xvvzzz+1Dh06aAEBAdr9+/dNeg+MWsQNN9xws4+bOUYtmr0j0zRN27Bhg1anTh3Nzc1NCwwM1BYsWKB7PjMzU4uMjNR8fHw0Nzc3rXXr1tqpU6dM3j86Mtxwww03+7iZoyPD7PcAAGAzmP0eAAAcHjoyAABQGjoyAABQGjoyAABQGjoyAABQGjoyAABQGjoyAABQGjoyAABQGjoyAABQGjoyAABQGjoyAABQGjoyAABQmoutG2AvSpQowblbt26cu3TpwrlNmza61/zzzz+cjx49yrlly5acL1++zHnZsmWcx40bxzkjIyO/zQYAO/H2229zHjlyJOcTJ05wjoiI4Hznzh2rtMsacEYGAABKQ0cGAABKQ2mxANzc3DjL0/eKFStylqXBuXPnmrTfP//80+jjsmSZkpLCefLkySbtF8Dann32Wc49evTgPGzYMM5OTk6cr127xrlz586c9+7da6EWqmv06NG6+xMnTuScmZnJuVq1apy9vb05o7QIAABQSKAjAwAApaG0WADLly/nnJSUxPmtt97iLEuOshxoKi8vL87du3fnXLZs2TzvC5709NNPc5Y/H3squ1hT0aJFdffLlSvHuWfPnpw1Tcs1Q86qV69u6yYUGjgjAwAApaEjAwAApaG0WAB79uzh/P3333O+efNmgfZbqVIlzu+//z7nq1evcl6yZEmB3sNe1K1bl7McIefsrP8/Wr9+/Yy+vnLlypxv377Nee3atZwjIyML2kyHIUfFERH98ssveXq9HG2HC/3BVDgjAwAApaEjAwAApaG0WABffPGF2fYlS1/yAue4uDjOTZo04Xz//n2zvbetubu7c+7UqRPnevXqcZbzyBUrVoyzHCXn4vK/X2d5kS1R9qPh0tPTjb6mXbt2nFFazJmcAKBDhw4F2leRIkU4Zx0BCUSBgYGcW7RoYdJr1q9fz/nWrVtmb1NhgDMyAABQGjoyAABQGkqLVlSlShXd/Y8++ojz66+/znnevHmc5fxpDx48sGDrrOvll1/mLEu0tWrVyvW1f/zxB2c5N58kl8Uh0o8wle7evcv577//5izLl5Cz8uXLc+7bt2+B9iVLwHIEI/xr06ZNnP39/XXPyZG68oJ+OaLaXi/0xxkZAAAoDR0ZAAAoDaVFM5Ej3ooXL875vffe4zx8+HDda2RZTK4effDgQUs0sVCRS3TIcuKlS5c4y9Lrli1bOKempnJOS0uzVBPBRHJUnJxbMT9Onz7NGUu3/EuO2H3qqac451R6/eCDDzjLn4+9whkZAAAoDR0ZAAAoDaXFPJIX3crlWt544w3O8mLahIQEzjNmzNDtS64Yba+jifJKzi25evVqG7YEsipZsiTn1157jbM5R3geOHDAbPuyF3LuVbkqfU5OnTplqeYUSjgjAwAApaEjAwAApaG0mA1PT0/OkyZN4hwUFMS5YcOGRl+7e/duzkuXLuW8efNm3XZZlxpxJNl9dr/++qvRx/38/DjLlbnlMizSypUrdffl6s+yZHnx4kXOGAGZM7kqea9evTjLuTLzw2AwcJaTAQCYynH/kgIAgF1ARwYAAEpDaTEbHh4enF944QWj25w4ccLo4wEBAZwnTJjA+auvvtJtd/nyZc5HjhzhLEtfP/30E2dZglGdXIG5adOmnL/88kvOI0eO5CzLic8//3yu+5evzUrOXylHlU6fPp2z/Bk8evQo1/dzBAsWLOAcEhJSoH3JeUO7dOnC+fz58wXaLzgmnJEBAIDS0JEBAIDS0JEBAIDSnLTs1oAvxAwGg+47rMKmdOnSnOVy7TlNqConDf7www85y4lB5XcUM2fO5Cwn0VVFgwYNOMvvqeTkyxcuXOD89NNPc5bfLcrvIE2dZHbs2LGc33zzTc5y1pb4+HjOcgaXc+fOmfQeKqtduzZn+fnI7x1dXV3zvN9t27ZxlmvQZb0sBYhKlSrF+bvvvuPcoUOHbF8jL+dp1aoV5507d5q3cWaWkpJS4Es4cEYGAABKQ0cGAABKQ2mxEPLy8uIsy4zvvPMOZ1lOlMPRZdmtMPP29ua8YcMGzs2aNTO6/dWrVznLcqIst+ZHmTJlOMvPWpbR5GcqZ3kp6HsXVtOmTeM8YsSIPL026xpZN27c4NykSRPOV65cyWfrHIOcsebMmTMmvUaWFl988UXOu3btMlu7LAGlRQAAcHjoyAAAQGlmn9kjIyODPvnkE1q6dCklJiaSn58fvf322zRu3DgekaZpGn388ce0cOFCSk5OphYtWlB0dDRVq1bN3M1R0u3btzmPGTOG86pVqzj/9ttvnENDQzkvWrTIwq0zj1u3bnGW67fJMp5ce0nOimLOkt4///zD+aOPPuIsR9LJiZ/nzJnDWY5IlWvLORo5AvH69eu656ZOnWrt5jisQ4cOcZYjfh2B2c/IpkyZQtHR0TRnzhw6ceIETZkyhaZOnUqzZ8/mbaZOnUqzZs2i+fPnU1xcHJUsWZJCQ0N109YAAACYwuxnZH/88Qd16NCB2rZtS0T/fmm5YsUK2rdvHxH9ezY2c+ZMGjduHF8T8d1335GPjw+tW7eOunbtau4mAQCAHTN7R9a8eXNasGABnT59mqpXr06HDx+mPXv20IwZM4jo30lBExMTdZOOenh4UFBQEMXGxqIjy4G8cPj48eOcw8LCOKtSWpRkmVGOkpMXKH/zzTdWbZMc6fXSSy9x3rp1K+dZs2Zx7t69O+cWLVpYuHXmV6VKFc79+vXLdXs5wbIsyWZkZJi3YWCyw4cPc3a00qLZO7LRo0eTwWCgwMBAKlKkCGVkZNDEiRMpPDyciIgSExOJiMjHx0f3Oh8fH34uq7S0NN2ih/Y0CzwAABSM2b8j+/HHH2nZsmW0fPlySkhIoG+//ZamT59O3377bb73GRUVRR4eHnyrWLGiGVsMAAAqM/sZ2YcffkijR4/mEmHdunXpwoULFBUVRREREeTr60tERElJSVS+fHl+XVJSkm7+PWnMmDG6kpPBYEBnJsh5CFUXHR1t6yY84ezZs5zlHHbjxo3j3Lt3b86DBw/mrMpoRnlBqpwrVLp48SLnJUuWcEY5EWzN7Gdk9+7d011hTkRUpEgRvuI/ICCAfH19KSYmhp83GAwUFxdHwcHBRvfp5uZG7u7uuhsAAACRBc7I2rVrRxMnTiR/f3+qXbs2HTx4kGbMmEF9+vQhon9nNx82bBh9/vnnVK1aNQoICKDIyEjy8/Ojjh07mrs5AABg58w+12JqaipFRkbS2rVr6fr16+Tn50fdunWj8ePH89IPjy+IXrBgASUnJ1PLli1p3rx5VL16dZPew9pzLcoLc+Vccunp6VZrAxFR2bJlOcslS2JjYzn37NnTqm1yZC1btuS8fft2znIpmoYNG3I+evSodRqWD3KpD3lckrzwXi7JAuYn51r866+/THpNkSJFLNQayzLHXItmPyMrXbo0zZw5U7deVlZOTk40YcIE3eSvAAAA+YG5FgEAQGlmPyOzR7Vq1eL8wgsvcM7prNNc5MCZxYsXc65QoQLniRMnWrwd8KQ9e/ZwnjdvHuf33nuPs7zQuLCVFuV30o0aNTK6zYEDBzifOHHC0k0CI7IujQNPwhkZAAAoDR0ZAAAoDaXFPJIXZu/YsYOznOesoKpWrcp54cKFnJs3b875P//5D+eTJ0+a7b0hf2R5V5YW5Ui/9evXW7VNuZEXPhcvXtzoNo0bN+Zcs2ZNzljh2bKSk5M5yxGl8quNrGSpeN26dRZoVeGFMzIAAFAaOjIAAFAaSosmuHTpEufdu3dzlhclyxGFa9euNWm/tWvX5tylSxfO8iLaM2fOcH68xhsRLkgtbO7du2f0cVlaBDCVLC3Kvzk5lRbbt2/PGaVFAAAAhaAjAwAApaG0aIKbN29y7tWrF+eff/6ZsxypNmDAgDy/hxz1OGnSJM5Tp07lbO25HaHgAgICbN2EbMnf6z///JNzvXr1OOOCaFABzsgAAEBp6MgAAEBpZl/GxRqsvYwLQG7kBcVyROmxY8c49+/f36ptygtPT0/OK1as4PzKK69wxjIuYAnmWMYFZ2QAAKA0dGQAAKA0lBYBAMBmUFoEAACHh44MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACUho4MAACU5mLrBgCAeho0aGA0ZzV27FjOr7/+OudTp05ZolngoHBGBgAASkNHBgAASkNpEQBMUqdOHc4//fQTZ39/f843b97UvaZVq1acUU4ES8EZGQAAKA0dGQAAKA2lRYBclC5dmnNCQgLnKlWqcC5ZsiTn+/fvW6dhViBHJGZXTpRGjRqlu49yIlgDzsgAAEBp6MgAAEBpKC3aUNGiRTk7O//v/xQ1atTg/PHHH3Pu1KlTnvbfvn17zhs3bsxPE4GI+vTpw/mZZ57hrGmaLZpjVW+++Sbn7MqJ3377Lec1a9ZYvE0qKlKkCOdq1apxLl++POeQkBDOlSpVMrqfffv2cT5y5IjuuTt37nDev39//hurIJyRAQCA0tCRAQCA0pw0BesjBoOBPDw8bN0MkxQvXpxzRESE7rkxY8ZwrlChAud79+5xzszMzPU9ZInSzc2NsyxDtGzZknNGRkau+1SFPN4WLVpwlmUWIv1nYQo5IvHgwYOc5ejE7du3cw4NDeVsys+ssAkMDOQ8cuRIzvJ3Vh7X+vXrOU+ePJnzoEGDdPt1cnLiLP/UyNfLbE86d+7M+aOPPuJctWpVzu7u7pzz+qdYfrZERGlpaZy3bt3K+bPPPuNcGEuOKSkpus8hP/J8RrZr1y5q164d+fn5kZOTE61bt073vKZpNH78eCpfvjwVL16cQkJC6MyZM7ptbt++TeHh4eTu7k6enp7Ut2/fJ/7wAAAAmCLPHdndu3epfv36NHfuXKPPT506lWbNmkXz58+nuLg4KlmyJIWGhtKDBw94m/DwcDp27Bht3bqVNm7cSLt27aL+/fvn/ygAAMBhFai06OTkRGvXrqWOHTsS0b9nY35+fvT+++/TBx98QET/njb6+PjQkiVLqGvXrnTixAmqVasW7d+/nxo3bkxERJs3b6bXXnuNLl++TH5+frm+b2EsLbq4/G8AaL9+/Tg//hyIiCpXrqx7TXp6Oucvv/yS83//+1/O169fz/W969evz1mWFLy9vTl7eXlxTklJyXWfhdmAAQM4jxs3jrMcAZa1xPXVV1/lul9Zpjx9+jRnWfaV3n33Xc7z5s3Ldf+FmZwTMSYmhrMcTWswGDj36tWL88yZMzlnHdkoX5/Xkmvfvn05b968mXNiYmKe9mMr8k9rdsf+119/cZZfKVy8eDHX/VesWFF3v169eka3O378OOfg4GDOhaUKZpPSYk7Onz9PiYmJumGkHh4eFBQURLGxsUREFBsbS56entyJEf077NTZ2Zni4uKM7jctLY0MBoPuBgAAQGTmjuzx/5R8fHx0j/v4+PBziYmJVK5cOd3zLi4u5OXlle3/tKKiosjDw4NvWf8nAgAAjkuJC6LHjBlDI0aM4PsGg8FmnZks102YMIGzLN3Ji0jPnz/PeciQIbp9Xb58mfOGDRvy3abDhw9z3rRpE+fw8HDOTZs25SzLj6ro0KEDZ1mGlSXd6Ohozl9//XWe3+PVV1/lnF05UZaC8vMehZUcqSjLYLL8JH9/5UhDT09PzvJnQ6SfpzKvpcVFixZx3rZtG+f//Oc/nOW/oUePHuVp/5YmvybJ7hucu3fvcpajiWWZMTtyRDQRUdu2bTnLcm+tWrU4f/jhh5zlZAuqM+sZma+vLxERJSUl6R5PSkri53x9fZ/43ufRo0d0+/Zt3iYrNzc3cnd3190AAACIzNyRBQQEkK+vr+7LYoPBQHFxcfwlY3BwMCUnJ1N8fDxvs337dsrMzKSgoCBzNgcAABxAnkuLd+7cobNnz/L98+fP06FDh8jLy4v8/f1p2LBh9Pnnn1O1atUoICCAIiMjyc/Pj0c21qxZk9q0aUP9+vWj+fPnU3p6Og0ZMoS6du1q0ohFa5Fzo8lLA55//nnO8oLHQ4cOGd1enn0WpHyYEzkHo1yhd+nSpZxv375tkfe2pJo1a3KWxyLLifIi0JUrV3I29aLv6tWrc/7+++9z3V7+bB8+fGjSexRWcqSiLD1LcumW7D4fOddicnKy7jk5ojY77733HufsRiO/9NJLnOV1qe+//z7nWbNm5fpe1nTt2jWL7j/rckGrV6/mPHr0aM5yNG/WcqS9yHNHduDAAXrxxRf5/uPvriIiImjJkiU0cuRIunv3LvXv35+Sk5OpZcuWtHnzZipWrBi/ZtmyZTRkyBBq3bo1OTs7U1hYWKH7JQQAADXkuSNr1apVjlOpODk50YQJE3QDIbLy8vKi5cuX5/WtAQAAnqDEqEVrkRdvDhs2jPPUqVM5y5FRcg6zzz//3CJtkqO+5Hx+7dq149ylSxfOcl5AWY5RpQwmL0qWoytLlChhdHv5c9qzZ0+e3y8yMjLX99ixYwdnuUK0iuRoTFmKyq6kJ0e5mSLrvImmzKP4f//3f5zl/KOy8pMduVSRo1d1ZNVLZsler8HF7PcAAKA0dGQAAKA0lBYFOWpSluvk6KP58+dztlQ5UV4nJ0fJTZkyxej2ckTizz//zFmVcqIkl2KRo62yI0uvch65nDRs2JBzt27dct2+e/funFUvzcgRn6bMV3rr1i1LNoeI9HM7yiznx5SrdEty+Rn5uyPLlY7i8chwIv2IXzlyWl5kbk9wRgYAAEpDRwYAAEpz+NKiXF1ZljXkKq5yjjk5n19ByRKifD85kk6OysqOnN9OjrBUUXZzHGYnP8eb3arF2fnuu+84y5+HiqXbxYsXc5ajdOWE3XKuUFuScyrK8phcbVmWn+W/IUcsLcoRn5L8mVv6Im1bwRkZAAAoDR0ZAAAozeFLi8899xzn7C6IlSs7N2vWLN/vValSJd394cOHc27SpAlnOQpRzitXrVo1o/u1p+VE5HyJ8oLYMmXKcJYXg1tDo0aNOMu19i5dumTVduRXmzZtONetW5ezXFblxIkTnAtjWU6OtpPzCEry4m05/6O9GjVqlO5+nTp1OB85coSzXHHeXuGMDAAAlIaODAAAlIaODAAAlObw35Ft376d88SJEznLIb4ffPCB0ZxXsm6d077kUGM5e4j8jmzs2LGc//nnn3y3qbCRQ9p79+5tdBv5HZmXlxfnl19+mbOcjSMrOfxeLikvl36X67rt37+fsyrfi0lydhhTZvNQVY0aNWzdBIuTs9LI79izWrNmDWdrzM5iazgjAwAApaEjAwAApTl8aVGSEwLLta0+/fRTzmfPnuXcoEEDzmvXruV87Ngxo/vPOuHs4cOHjW4ny4bZrcl09epVzmlpaUa3sVcbNmww+ricNDanGTv++usvzoMGDeIs1z+zJx06dOAsh9xLI0eOtFZzwARy1pX69etz/uWXXzg/9dRTutd8//33nFWf4SevcEYGAABKQ0cGAABKQ2kxG0ePHuUcFhZm1fdOT0/nnN1sI3LGD0cmR6r16tUr2+0ePXrEee7cuZzttZyYV7L8mJCQYMOWGNe3b99ct7GntbbkDEK7d+82uk3WvwFyVpwqVapwfvrpp3N9v3PnznGWX5+oAmdkAACgNHRkAACgNJQWC4l33nmH8/jx441uIyf/jI+Pt3ibCitXV1fOcnJYubZcVsuXL+c8c+ZMi7SrsPrjjz84N2/e3Og2LVu2tFZzciTbIUtq2Y22/P333zkPGDDAYu0yJzc3N87e3t6c+/Tpw/n999/nnN36edWrV9ftV45ovHv3LudSpUoZfb0kR1SnpKRwTk1N5bxq1Sqjr5X7/Oyzz4xuY2k4IwMAAKWhIwMAAKU5aaas9V7IGAwGu5gzztfXl/POnTs5yyXbL168yDk4OJizXJre0XTr1o3z0qVLjW4jR2EREb366qucVRyVVRBdunThvGTJEs6yxCXLSUOHDuWc3dpkycnJRnNWsqxVtmxZo9tMmzaNs/wdL1++PGdZWpTv99Zbb3GW86YWNnIU4SeffMI5pzlBVVSkSJE8vyYlJYXc3d0L9L44IwMAAKWhIwMAAKVh1KIVyWVGiPQlBllOlKOP5LyLjlxOdHH536/qmDFjct0+68hPRysnSqtXr+ZcsmRJzj179uT8wgsvcJblRznnnyzvyVJ4dhfsEunnCZTL7xTE7NmzORfmcqK0YsUKzo0aNeIsRyTKkYYbN27kLOdklaN05cQJltKjRw/OxYoVM7rN+vXrLd6O3OCMDAAAlIaODAAAlIbSohXJEVlE+vnU5MrDP/zwA+esq0o7qjp16nCuXbu20W3kSrjyQln4H1makjw9PTnLcmB2ZClS5qyyK02aQv4MJ0+ezHnfvn152k9hEB0dzfmll17i/Oeff3LesmWL0cdtSZXJA3BGBgAASkNHBgAASkNp0cJef/11zl27dtU9d/nyZc5TpkzhvGzZMss3TDHygtLsyLJZThfpwr/k5yXLWrK0bak5GOVIt59//tnoNt99951F3tsWFi9ebDSDeeCMDAAAlIaODAAAlIa5Fi1AjvqKi4vjnHWZkW3btnEODQ21fMMUVqtWLc5yCRu5pIuU9aLpqVOnWqZhAFAgmGsRAAAcHjoyAABQGkYtWkCrVq0457Rq8Z49e6zQGvtw/PhxzgMHDuT86aefcq5QoQLn69evW6dhAGBzOCMDAACloSMDAAClobRoRVmXu4iKirJRS9QmlxmRGQAcE87IAABAaejIAABAabggGgAAbAYXRAMAgMNDRwYAAEpDRwYAAErLc0e2a9cuateuHfn5+ZGTkxOtW7eOn0tPT6dRo0ZR3bp1qWTJkuTn50e9evWiq1ev6vZx+/ZtCg8PJ3d3d/L09KS+ffvSnTt3CnwwAADgePLckd29e5fq169Pc+fOfeK5e/fuUUJCAkVGRlJCQgKtWbOGTp06Re3bt9dtFx4eTseOHaOtW7fSxo0badeuXdS/f//8HwUAADgurQCISFu7dm2O2+zbt08jIu3ChQuapmna8ePHNSLS9u/fz9ts2rRJc3Jy0q5cuWLS+6akpGhEhBtuuOGGm+K3lJSUfPdBj1n8O7KUlBRycnIiT09PIiKKjY0lT09Paty4MW8TEhJCzs7OurW7pLS0NDIYDLobAAAAkYUHezx48IBGjRpF3bp14+sEEhMTqVy5crrtXFxcyMvLixITE43uJyoqijw8PPhWsWJFSzYbAAAUYrGOLD09nd58803SNI2io6MLtK8xY8ZQSkoK3y5dumSmVgIAgOosMmnw407swoULtH37dt1V276+vk+sFfXo0SO6ffs2+fr6Gt2fm5sbubm5WaKpAACgOLOfkT3uxM6cOUPbtm0jb29v3fPBwcGUnJxM8fHx/Nj27dspMzOTgoKCTHoPTb1ZtQAAwAhz/D3P8xnZnTt36OzZs3z//PnzdOjQIfLy8qLy5ctTly5dKCEhgTZu3EgZGRn8vZeXlxe5urpSzZo1qU2bNtSvXz+aP38+paen05AhQ6hr167k5+dnUhtSU1Pz2mwAACiEUlNTCzx3bp4nDf7999/pxRdffOLxiIgI+uSTTyggIMDo63bs2EGtWrUion8viB4yZAht2LCBnJ2dKSwsjGbNmkWlSpUyqQ2ZmZl09epV0jSN/P396dKlSwWedFIFBoOBKlas6DDHS+R4x+xox0uEY3aEYzZ2vJqmUWpqKvn5+ZGzc8GKg0rOfv/Y41nwzTF7sgoc7XiJHO+YHe14iXDMjnDMlj5ezLUIAABKQ0cGAABKU7ojc3Nzo48//thhhuY72vESOd4xO9rxEuGYHYGlj1fp78gAAACUPiMDAABARwYAAEpDRwYAAEpDRwYAAEpTtiObO3cuVa5cmYoVK0ZBQUG0b98+WzfJLKKioqhJkyZUunRpKleuHHXs2JFOnTql2+bBgwc0ePBg8vb2plKlSlFYWBglJSXZqMXmN3nyZHJycqJhw4bxY/Z4zFeuXKEePXqQt7c3FS9enOrWrUsHDhzg5zVNo/Hjx1P58uWpePHiFBISQmfOnLFhi/MvIyODIiMjKSAggIoXL05VqlShzz77TDfPnurHu2vXLmrXrh35+fmRk5MTrVu3Tve8Kcd3+/ZtCg8PJ3d3d/L09KS+ffvSnTt3rHgUeZPTMaenp9OoUaOobt26VLJkSfLz86NevXrR1atXdfswyzEXeGlOG1i5cqXm6uqqffPNN9qxY8e0fv36aZ6enlpSUpKtm1ZgoaGh2uLFi7WjR49qhw4d0l577TXN399fu3PnDm8zYMAArWLFilpMTIx24MABrVmzZlrz5s1t2Grz2bdvn1a5cmWtXr162tChQ/lxezvm27dva5UqVdLefvttLS4uTjt37py2ZcsW7ezZs7zN5MmTNQ8PD23dunXa4cOHtfbt22sBAQHa/fv3bdjy/Jk4caLm7e2tbdy4UTt//ry2atUqrVSpUtqXX37J26h+vL/++qs2duxYbc2aNRoRaWvXrtU9b8rxtWnTRqtfv762d+9ebffu3VrVqlW1bt26WflITJfTMScnJ2shISHaDz/8oJ08eVKLjY3VmjZtqjVq1Ei3D3Mcs5IdWdOmTbXBgwfz/YyMDM3Pz0+LioqyYass4/r16xoRaTt37tQ07d9fjqJFi2qrVq3ibU6cOKERkRYbG2urZppFamqqVq1aNW3r1q3aCy+8wB2ZPR7zqFGjtJYtW2b7fGZmpubr66tNmzaNH0tOTtbc3Ny0FStWWKOJZtW2bVutT58+usc6d+6shYeHa5pmf8eb9Y+6Kcd3/PhxjYi0/fv38zabNm3SnJyctCtXrlit7fllrPPOat++fRoRaRcuXNA0zXzHrFxp8eHDhxQfH08hISH8mLOzM4WEhFBsbKwNW2YZKSkpRPTv6gFERPHx8ZSenq47/sDAQPL391f++AcPHkxt27bVHRuRfR7zzz//TI0bN6Y33niDypUrRw0bNqSFCxfy8+fPn6fExETdMXt4eFBQUJCSx9y8eXOKiYmh06dPExHR4cOHac+ePfTqq68Skf0db1amHF9sbCx5enpS48aNeZuQkBBydnamuLg4q7fZElJSUsjJyYk8PT2JyHzHbJGFNS3p5s2blJGRQT4+PrrHfXx86OTJkzZqlWVkZmbSsGHDqEWLFlSnTh0iIkpMTCRXV1f+RXjMx8eHl8xR0cqVKykhIYH279//xHP2eMznzp2j6OhoGjFiBH300Ue0f/9+eu+998jV1ZUiIiL4uIz9nqt4zKNHjyaDwUCBgYFUpEgRysjIoIkTJ1J4eDgRkd0db1amHF9iYiKVK1dO97yLiwt5eXnZxWfw4MEDGjVqFHXr1o0nDjbXMSvXkTmSwYMH09GjR2nPnj22bopFXbp0iYYOHUpbt26lYsWK2bo5VpGZmUmNGzemSZMmERFRw4YN6ejRozR//nyKiIiwcevM78cff6Rly5bR8uXLqXbt2nTo0CEaNmwY+fn52eXxgt7jBZc1TaPo6Giz71+50mLZsmWpSJEiT4xYS0pKIl9fXxu1yvyGDBlCGzdupB07dlCFChX4cV9fX3r48CElJyfrtlf5+OPj4+n69ev07LPPkouLC7m4uNDOnTtp1qxZ5OLiQj4+PnZ3zOXLl6datWrpHqtZsyZdvHiRiIiPy15+zz/88EMaPXo0de3alerWrUs9e/ak4cOHU1RUFBHZ3/FmZcrx+fr60vXr13XPP3r0iG7fvq30Z/C4E7tw4QJt3bpVt4yLuY5ZuY7M1dWVGjVqRDExMfxYZmYmxcTEUHBwsA1bZh6aptGQIUNo7dq1tH379icWKm3UqBEVLVpUd/ynTp2iixcvKnv8rVu3piNHjtChQ4f41rhxYwoPD+dsb8fcokWLJy6rOH36NFWqVImIiAICAsjX11d3zAaDgeLi4pQ85nv37j2xeGKRIkUoMzOTiOzveLMy5fiCg4MpOTmZ4uPjeZvt27dTZmYmBQUFWb3N5vC4Eztz5gxt27aNvL29dc+b7ZjzMTjF5lauXKm5ublpS5Ys0Y4fP671799f8/T01BITE23dtAIbOHCg5uHhof3+++/atWvX+Hbv3j3eZsCAAZq/v7+2fft27cCBA1pwcLAWHBxsw1abnxy1qGn2d8z79u3TXFxctIkTJ2pnzpzRli1bppUoUUJbunQpbzN58mTN09NTW79+vfbnn39qHTp0UGo4uhQREaE9/fTTPPx+zZo1WtmyZbWRI0fyNqofb2pqqnbw4EHt4MGDGhFpM2bM0A4ePMgj9Ew5vjZt2mgNGzbU4uLitD179mjVqlUr1MPvczrmhw8fau3bt9cqVKigHTp0SPf3LC0tjfdhjmNWsiPTNE2bPXu25u/vr7m6umpNmzbV9u7da+smmQURGb0tXryYt7l//742aNAgrUyZMlqJEiW0Tp06adeuXbNdoy0ga0dmj8e8YcMGrU6dOpqbm5sWGBioLViwQPd8ZmamFhkZqfn4+Ghubm5a69attVOnTtmotQVjMBi0oUOHav7+/lqxYsW0Z555Rhs7dqzuD5rqx7tjxw6j/3YjIiI0TTPt+G7duqV169ZNK1WqlObu7q717t1bS01NtcHRmCanYz5//ny2f8927NjB+zDHMWMZFwAAUJpy35EBAABI6MgAAEBp6MgAAEBp6MgAAEBp6MgAAEBp6MgAAEBp6MgAAEBp6MgAAEBp6MgAAEBp6MgAAEBp6MgAAEBp6MgAAEBp/w/fTtQWQAH7cQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1 : step 600 / Gen Loss 3.7314175629615756 / Disc Loss 0.10218252552052345\n"
          ]
        },
        {
          "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": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1 : step 900 / Gen Loss 3.797479931513471 / Disc Loss 0.04114447067802149\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/469 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4e162187e644497781005d56f851e642"
            }
          },
          "metadata": {}
        },
        {
          "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": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2 : step 1200 / Gen Loss 3.810284608205159 / Disc Loss 0.028870125027994326\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/469 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "1bdf79a8e09d4a39acaf070d3bbe2024"
            }
          },
          "metadata": {}
        },
        {
          "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": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3 : step 1500 / Gen Loss 3.5764458934466044 / Disc Loss 0.0368686292072137\n"
          ]
        },
        {
          "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": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3 : step 1800 / Gen Loss 3.382476430733999 / Disc Loss 0.05137432125707469\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/469 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "296ba20144054ca8b736d3b562a072de"
            }
          },
          "metadata": {}
        },
        {
          "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": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "4 : step 2100 / Gen Loss 3.612261951764422 / Disc Loss 0.044934142449249835\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/469 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "fd10a5e5607e402b9042d466cfa8ed60"
            }
          },
          "metadata": {}
        },
        {
          "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": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "5 : step 2400 / Gen Loss 4.093967220783233 / Disc Loss 0.03664123877262078\n"
          ]
        },
        {
          "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": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "5 : step 2700 / Gen Loss 4.282541125615434 / Disc Loss 0.03055521264051398\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/469 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "93a3f88995774f2cb6ada2675aa27472"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-18-7f3fe899ecea>\u001b[0m in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mepoch\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mepochs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m   \u001b[0;32mfor\u001b[0m \u001b[0mreal\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m     \u001b[0;31m### Discriminator\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0mdisc_opt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/tqdm/notebook.py\u001b[0m in \u001b[0;36m__iter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    248\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    249\u001b[0m             \u001b[0mit\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtqdm_notebook\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__iter__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m             \u001b[0;32mfor\u001b[0m \u001b[0mobj\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mit\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    251\u001b[0m                 \u001b[0;31m# return super(tqdm...) will not catch exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    252\u001b[0m                 \u001b[0;32myield\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/tqdm/std.py\u001b[0m in \u001b[0;36m__iter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1179\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1180\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1181\u001b[0;31m             \u001b[0;32mfor\u001b[0m \u001b[0mobj\u001b[0m \u001b[0;32min\u001b[0m \u001b[0miterable\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1182\u001b[0m                 \u001b[0;32myield\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1183\u001b[0m                 \u001b[0;31m# Update and possibly print the progressbar.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py\u001b[0m in \u001b[0;36m__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    629\u001b[0m                 \u001b[0;31m# TODO(https://github.com/pytorch/pytorch/issues/76750)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    630\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[call-arg]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 631\u001b[0;31m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_next_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    632\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_num_yielded\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    633\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dataset_kind\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0m_DatasetKind\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mIterable\u001b[0m \u001b[0;32mand\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py\u001b[0m in \u001b[0;36m_next_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    673\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_next_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    674\u001b[0m         \u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_next_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# may raise StopIteration\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 675\u001b[0;31m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dataset_fetcher\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfetch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# may raise StopIteration\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    676\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_pin_memory\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    677\u001b[0m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpin_memory\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpin_memory\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_pin_memory_device\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py\u001b[0m in \u001b[0;36mfetch\u001b[0;34m(self, possibly_batched_index)\u001b[0m\n\u001b[1;32m     49\u001b[0m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getitems__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     50\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 51\u001b[0;31m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0midx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     52\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     53\u001b[0m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m     49\u001b[0m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getitems__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     50\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 51\u001b[0;31m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0midx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     52\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     53\u001b[0m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torchvision/datasets/mnist.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, index)\u001b[0m\n\u001b[1;32m    140\u001b[0m         \u001b[0;31m# doing this so that it is consistent with all other datasets\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    141\u001b[0m         \u001b[0;31m# to return a PIL Image\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 142\u001b[0;31m         \u001b[0mimg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mImage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfromarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnumpy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"L\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    143\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/PIL/Image.py\u001b[0m in \u001b[0;36mfromarray\u001b[0;34m(obj, mode)\u001b[0m\n\u001b[1;32m   3069\u001b[0m     \u001b[0marr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__array_interface__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3070\u001b[0m     \u001b[0mshape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"shape\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3071\u001b[0;31m     \u001b[0mndim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3072\u001b[0m     \u001b[0mstrides\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"strides\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3073\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mmode\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "veOc0SagYxYi"
      }
    }
  ]
}