{
    "cells": [
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {
                "papermill": {
                    "duration": null,
                    "end_time": null,
                    "exception": null,
                    "start_time": null,
                    "status": "completed"
                },
                "tags": [
                    "remove_cell"
                ]
            },
            "outputs": [
                {
                    "data": {
                        "text/plain": "<IPython.core.display.HTML object>",
                        "text/html": "<style>.container { width:95% !important; }</style>"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "%matplotlib inline\n",
                "import warnings\n",
                "warnings.filterwarnings('ignore')\n",
                "# setup disply parameters\n",
                "from matplotlib import pylab as plt\n",
                "import seaborn as sns\n",
                "from matplotlib.ticker import StrMethodFormatter\n",
                "float_formatter = StrMethodFormatter('{x:0.03f}')\n",
                "from IPython.core.display import display, HTML\n",
                "display(HTML(\"<style>.container { width:95% !important; }</style>\"))\n",
                "SMALL_SIZE = 14\n",
                "MEDIUM_SIZE = 16\n",
                "BIGGER_SIZE = 20\n",
                "\n",
                "plt.rc('font', size=SMALL_SIZE)          # controls default text sizes\n",
                "plt.rc('axes', titlesize=SMALL_SIZE)     # fontsize of the axes title\n",
                "plt.rc('axes', labelsize=MEDIUM_SIZE)    # fontsize of the x and y labels\n",
                "plt.rc('xtick', labelsize=SMALL_SIZE)    # fontsize of the tick labels\n",
                "plt.rc('ytick', labelsize=SMALL_SIZE)    # fontsize of the tick labels\n",
                "plt.rc('legend', fontsize=SMALL_SIZE)    # legend fontsize\n",
                "plt.rc('figure', titlesize=BIGGER_SIZE)  # fontsize of the figure title\n",
                "plt.rc('figure', figsize=(18, 6)) # set figure size\n",
                "plt.rc(\"animation\", html=\"html5\")\n",
                "import random\n",
                "random.seed(203)\n",
                "import numpy as np\n",
                "np.random.seed(345)\n",
                "from rich import print"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "id": "moving-telephone",
            "metadata": {
                "papermill": {
                    "duration": null,
                    "end_time": null,
                    "exception": null,
                    "start_time": null,
                    "status": "completed"
                },
                "tags": [
                    "remove_cell"
                ]
            },
            "outputs": [],
            "source": [
                "from pathlib import Path"
            ]
        },
        {
            "cell_type": "markdown",
            "source": [
                "# Running a negotiation"
            ],
            "metadata": {
                "collapsed": false
            }
        },
        {
            "cell_type": "markdown",
            "source": [
                "NegMAS has several built-in negotiation `Mechanisms`, negotiation agents (`Negotiators`), and `UtilityFunctions`. You can use these to run negotiations as follows.\n",
                "\n",
                "Imagine a buyer and a seller negotiating over the price of a single object. First, we make an issue \"price\" with 50 discrete values. Note here, it is possible to create multiple issues, but we will not include that here. If you are interested, see the [NegMAS documentation](https://negmas.readthedocs.io/en/latest/tutorials/01.running_simple_negotiation.html) for a tutorial."
            ],
            "metadata": {
                "collapsed": false
            }
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "outputs": [],
            "source": [
                "from negmas import (\n",
                "    make_issue,\n",
                "    SAOMechanism,\n",
                "   TimeBasedConcedingNegotiator,\n",
                ")\n",
                "from anl.anl2024.negotiators import Boulware, Conceder, RVFitter\n",
                "from negmas.preferences import LinearAdditiveUtilityFunction as UFun\n",
                "from negmas.preferences.value_fun import IdentityFun, AffineFun\n",
                "import matplotlib.pyplot as plt\n",
                "\n",
                "\n",
                "# create negotiation agenda (issues)\n",
                "issues = [\n",
                "    make_issue(name=\"price\", values=50),\n",
                "]\n",
                "\n",
                "# create the mechanism\n",
                "session = SAOMechanism(issues=issues, n_steps=20)"
            ],
            "metadata": {
                "collapsed": false
            }
        },
        {
            "cell_type": "markdown",
            "source": [
                "The negotiation protocol in NegMAS is handled by a `Mechanism` object. Here we instantiate a`SAOMechanism` which implements the [Stacked Alternating Offers Protocol](https://ii.tudelft.nl/~catholijn/publications/sites/default/files/Aydogan2017_Chapter_AlternatingOffersProtocolsForM.pdf). In this protocol, negotiators exchange offers until an offer is accepted by all negotiators (in this case 2), a negotiators leaves the table ending the negotiation or a time-out condition is met. In the example above, we use a limit on the number of rounds of `20` (a step of a mechanism is an executed round).\n",
                "\n",
                "Next, we define the utilities of the seller and the buyer. The utility function of the seller is defined by the ```\n",
                "IdentityFun```  which means that the higher the price, the higher the utility function. The buyer's utility function is reversed. The last two lines make sure that utility is scaled between 0 and 1."
            ],
            "metadata": {
                "collapsed": false
            }
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "outputs": [],
            "source": [
                "seller_utility = UFun(\n",
                "    values=[IdentityFun()],\n",
                "    outcome_space=session.outcome_space,\n",
                ")\n",
                "\n",
                "buyer_utility = UFun(\n",
                "    values=[AffineFun(slope=-1)],\n",
                "    outcome_space=session.outcome_space,\n",
                ")\n",
                "\n",
                "seller_utility = seller_utility.normalize()\n",
                "buyer_utility = buyer_utility.normalize()\n"
            ],
            "metadata": {
                "collapsed": false
            }
        },
        {
            "cell_type": "markdown",
            "source": [
                "Then we add two agents with a boulware strategy. The negotiation ends with status overview. For example, you can see if the negotiation timed-out, what agreement was found, and how long the negotiation took. Moreover, we output the full negotiation history. For a more visual representation, we can plot the session. This shows the bidding curve, but also the proximity to e.g. the Nash point."
            ],
            "metadata": {
                "collapsed": false
            }
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "outputs": [
                {
                    "data": {
                        "text/plain": "\u001B[1;35mSAOState\u001B[0m\u001B[1m(\u001B[0m\n    \u001B[33mrunning\u001B[0m=\u001B[3;91mFalse\u001B[0m,\n    \u001B[33mwaiting\u001B[0m=\u001B[3;91mFalse\u001B[0m,\n    \u001B[33mstarted\u001B[0m=\u001B[3;92mTrue\u001B[0m,\n    \u001B[33mstep\u001B[0m=\u001B[1;36m18\u001B[0m,\n    \u001B[33mtime\u001B[0m=\u001B[1;36m0\u001B[0m\u001B[1;36m.006180799915455282\u001B[0m,\n    \u001B[33mrelative_time\u001B[0m=\u001B[1;36m0\u001B[0m\u001B[1;36m.9047619047619048\u001B[0m,\n    \u001B[33mbroken\u001B[0m=\u001B[3;91mFalse\u001B[0m,\n    \u001B[33mtimedout\u001B[0m=\u001B[3;91mFalse\u001B[0m,\n    \u001B[33magreement\u001B[0m=\u001B[1m(\u001B[0m\u001B[1;36m23\u001B[0m,\u001B[1m)\u001B[0m,\n    \u001B[33mresults\u001B[0m=\u001B[3;35mNone\u001B[0m,\n    \u001B[33mn_negotiators\u001B[0m=\u001B[1;36m2\u001B[0m,\n    \u001B[33mhas_error\u001B[0m=\u001B[3;91mFalse\u001B[0m,\n    \u001B[33merror_details\u001B[0m=\u001B[32m''\u001B[0m,\n    \u001B[33mthreads\u001B[0m=\u001B[1m{\u001B[0m\u001B[1m}\u001B[0m,\n    \u001B[33mlast_thread\u001B[0m=\u001B[32m''\u001B[0m,\n    \u001B[33mcurrent_offer\u001B[0m=\u001B[1m(\u001B[0m\u001B[1;36m23\u001B[0m,\u001B[1m)\u001B[0m,\n    \u001B[33mcurrent_proposer\u001B[0m=\u001B[32m'seller-69622b52-7474-4027-bdda-e2928ad686cf'\u001B[0m,\n    \u001B[33mcurrent_proposer_agent\u001B[0m=\u001B[3;35mNone\u001B[0m,\n    \u001B[33mn_acceptances\u001B[0m=\u001B[1;36m2\u001B[0m,\n    \u001B[33mnew_offers\u001B[0m=\u001B[1m[\u001B[0m\u001B[1m(\u001B[0m\u001B[32m'seller-69622b52-7474-4027-bdda-e2928ad686cf'\u001B[0m, \u001B[1m(\u001B[0m\u001B[1;36m23\u001B[0m,\u001B[1m)\u001B[0m\u001B[1m)\u001B[0m\u001B[1m]\u001B[0m,\n    \u001B[33mnew_offerer_agents\u001B[0m=\u001B[1m[\u001B[0m\u001B[3;35mNone\u001B[0m\u001B[1m]\u001B[0m,\n    \u001B[33mlast_negotiator\u001B[0m=\u001B[32m'seller'\u001B[0m\n\u001B[1m)\u001B[0m\n",
                        "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">SAOState</span><span style=\"font-weight: bold\">(</span>\n    <span style=\"color: #808000; text-decoration-color: #808000\">running</span>=<span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">waiting</span>=<span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">started</span>=<span style=\"color: #00ff00; text-decoration-color: #00ff00; font-style: italic\">True</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">step</span>=<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">time</span>=<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.006180799915455282</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">relative_time</span>=<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.9047619047619048</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">broken</span>=<span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">timedout</span>=<span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">agreement</span>=<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23</span>,<span style=\"font-weight: bold\">)</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">results</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">n_negotiators</span>=<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">has_error</span>=<span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">error_details</span>=<span style=\"color: #008000; text-decoration-color: #008000\">''</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">threads</span>=<span style=\"font-weight: bold\">{}</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">last_thread</span>=<span style=\"color: #008000; text-decoration-color: #008000\">''</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">current_offer</span>=<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23</span>,<span style=\"font-weight: bold\">)</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">current_proposer</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'seller-69622b52-7474-4027-bdda-e2928ad686cf'</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">current_proposer_agent</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">n_acceptances</span>=<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">new_offers</span>=<span style=\"font-weight: bold\">[(</span><span style=\"color: #008000; text-decoration-color: #008000\">'seller-69622b52-7474-4027-bdda-e2928ad686cf'</span>, <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23</span>,<span style=\"font-weight: bold\">))]</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">new_offerer_agents</span>=<span style=\"font-weight: bold\">[</span><span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span><span style=\"font-weight: bold\">]</span>,\n    <span style=\"color: #808000; text-decoration-color: #808000\">last_negotiator</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'seller'</span>\n<span style=\"font-weight: bold\">)</span>\n</pre>\n"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/plain": "<Figure size 1280x480 with 5 Axes>",
                        "image/png": "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"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# create and add agent A and B\n",
                "session.add(Boulware(name=\"seller\"), ufun=seller_utility)\n",
                "session.add(Boulware(name=\"buyer\"), ufun=buyer_utility)\n",
                "\n",
                "# run the negotiation and show the results\n",
                "print(session.run())\n",
                "\n",
                "# negotiation history\n",
                "for i, _ in enumerate(session.history):\n",
                "    print(f\"{i:03}: {_.new_offers}\")  # the first line gives the offer of the seller and the buyer  in the first round\n",
                "\n",
                "session.plot(ylimits=(0.0, 1.01), show_reserved=False, mark_max_welfare_points=False)\n",
                "plt.show()\n",
                "\n"
            ],
            "metadata": {
                "collapsed": false
            }
        }
    ],
    "metadata": {
        "celltoolbar": "Tags",
        "kernelspec": {
            "name": "venv",
            "language": "python",
            "display_name": "venv"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.11.4"
        },
        "latex_envs": {
            "LaTeX_envs_menu_present": true,
            "autoclose": false,
            "autocomplete": true,
            "bibliofile": "biblio.bib",
            "cite_by": "apalike",
            "current_citInitial": 1,
            "eqLabelWithNumbers": true,
            "eqNumInitial": 1,
            "hotkeys": {
                "equation": "Ctrl-E",
                "itemize": "Ctrl-I"
            },
            "labels_anchors": false,
            "latex_user_defs": false,
            "report_style_numbering": false,
            "user_envs_cfg": false
        },
        "papermill": {
            "default_parameters": {},
            "duration": 540.812939,
            "end_time": "2022-02-16T09:26:02.642361",
            "environment_variables": {},
            "exception": null,
            "input_path": "/Users/yasser/code/projects/anl/notebooks/tutorials/01.run_anl2020.ipynb",
            "output_path": "/Users/yasser/code/projects/anl/notebooks/tutorials/01.run_anl2020.ipynb",
            "parameters": {},
            "start_time": "2022-02-16T09:17:01.829422",
            "version": "2.3.4"
        },
        "toc": {
            "base_numbering": 1,
            "nav_menu": {},
            "number_sections": true,
            "sideBar": true,
            "skip_h1_title": false,
            "title_cell": "Table of Contents",
            "title_sidebar": "Contents",
            "toc_cell": false,
            "toc_position": {},
            "toc_section_display": true,
            "toc_window_display": false
        },
        "varInspector": {
            "cols": {
                "lenName": 16,
                "lenType": 16,
                "lenVar": 40
            },
            "kernels_config": {
                "python": {
                    "delete_cmd_postfix": "",
                    "delete_cmd_prefix": "del ",
                    "library": "var_list.py",
                    "varRefreshCmd": "print(var_dic_list())"
                },
                "r": {
                    "delete_cmd_postfix": ") ",
                    "delete_cmd_prefix": "rm(",
                    "library": "var_list.r",
                    "varRefreshCmd": "cat(var_dic_list()) "
                }
            },
            "types_to_exclude": [
                "module",
                "function",
                "builtin_function_or_method",
                "instance",
                "_Feature"
            ],
            "window_display": false
        },
        "widgets": {
            "application/vnd.jupyter.widget-state+json": {
                "state": {
                    "2cadc33b26404616ae0a695fd33d2ca8": {
                        "model_module": "@jupyter-widgets/base",
                        "model_module_version": "1.2.0",
                        "model_name": "LayoutModel",
                        "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
                        }
                    },
                    "4368ae6360eb453aaf61f264839b0ddb": {
                        "model_module": "@jupyter-widgets/base",
                        "model_module_version": "1.2.0",
                        "model_name": "LayoutModel",
                        "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": "20px"
                        }
                    },
                    "485a093637284ec28170f816ecd1fa92": {
                        "model_module": "@jupyter-widgets/controls",
                        "model_module_version": "1.5.0",
                        "model_name": "ProgressStyleModel",
                        "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": ""
                        }
                    },
                    "75d848742bcd4d8cb56a5457a57698c7": {
                        "model_module": "@jupyter-widgets/base",
                        "model_module_version": "1.2.0",
                        "model_name": "LayoutModel",
                        "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
                        }
                    },
                    "83b5f1069c86434ba8abb01460027b86": {
                        "model_module": "@jupyter-widgets/controls",
                        "model_module_version": "1.5.0",
                        "model_name": "HTMLModel",
                        "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_2cadc33b26404616ae0a695fd33d2ca8",
                            "placeholder": "​",
                            "style": "IPY_MODEL_e9a077f7f68245d5b476e84fe61b2518",
                            "value": ""
                        }
                    },
                    "ad16d5ccfae94a6bab53b1e4f0d3b2fd": {
                        "model_module": "@jupyter-widgets/base",
                        "model_module_version": "1.2.0",
                        "model_name": "LayoutModel",
                        "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
                        }
                    },
                    "ae6ea78135ea49e79f65ded1eb5873f5": {
                        "model_module": "@jupyter-widgets/controls",
                        "model_module_version": "1.5.0",
                        "model_name": "DescriptionStyleModel",
                        "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": ""
                        }
                    },
                    "d8c3b6c0996640e8aa5ff137cf69e906": {
                        "model_module": "@jupyter-widgets/controls",
                        "model_module_version": "1.5.0",
                        "model_name": "HBoxModel",
                        "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_83b5f1069c86434ba8abb01460027b86",
                                "IPY_MODEL_f0bfa51dd65f45e89d271167128606e3",
                                "IPY_MODEL_f3955f11b376489287a5e30e241fcee1"
                            ],
                            "layout": "IPY_MODEL_75d848742bcd4d8cb56a5457a57698c7"
                        }
                    },
                    "e9a077f7f68245d5b476e84fe61b2518": {
                        "model_module": "@jupyter-widgets/controls",
                        "model_module_version": "1.5.0",
                        "model_name": "DescriptionStyleModel",
                        "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": ""
                        }
                    },
                    "f0bfa51dd65f45e89d271167128606e3": {
                        "model_module": "@jupyter-widgets/controls",
                        "model_module_version": "1.5.0",
                        "model_name": "FloatProgressModel",
                        "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": "info",
                            "description": "",
                            "description_tooltip": null,
                            "layout": "IPY_MODEL_4368ae6360eb453aaf61f264839b0ddb",
                            "max": 1,
                            "min": 0,
                            "orientation": "horizontal",
                            "style": "IPY_MODEL_485a093637284ec28170f816ecd1fa92",
                            "value": 0
                        }
                    },
                    "f3955f11b376489287a5e30e241fcee1": {
                        "model_module": "@jupyter-widgets/controls",
                        "model_module_version": "1.5.0",
                        "model_name": "HTMLModel",
                        "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_ad16d5ccfae94a6bab53b1e4f0d3b2fd",
                            "placeholder": "​",
                            "style": "IPY_MODEL_ae6ea78135ea49e79f65ded1eb5873f5",
                            "value": " 0/? [00:00&lt;?, ?it/s]"
                        }
                    }
                },
                "version_major": 2,
                "version_minor": 0
            }
        }
    },
    "nbformat": 4,
    "nbformat_minor": 5
}