{
"cells": [
{
"cell_type": "markdown",
"id": "38fc4bf8",
"metadata": {},
"source": [
"# Gymnasium integration\n",
"[Gymnasium](https://gymnasium.farama.org/) is an API standard for reinforcement learning with a diverse collection of reference environments. Stormvogel supports some integration with gymnasium. In particular, you can construct explicit models from the gymnasium environmnents under Gymnasium's [ToyText](https://gymnasium.farama.org/environments/toy_text/) (except Blackjack)."
]
},
{
"cell_type": "markdown",
"id": "1e6e0ca5",
"metadata": {},
"source": [
"## FrozenLake\n",
"Let us create one of these environments, called FrozenLake.\n",
"Our agent wants to get to the present. Currently, it just chooses a random action."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "dc437a89",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:41:37.884754Z",
"iopub.status.busy": "2026-03-26T10:41:37.884593Z",
"iopub.status.idle": "2026-03-26T10:41:38.314396Z",
"shell.execute_reply": "2026-03-26T10:41:38.313827Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"![](\"gifs/ice1.gif\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import gymnasium as gym\n",
"from stormvogel.extensions.gym_grid import *\n",
"from stormvogel import *\n",
"\n",
"env = gym.make(\n",
" \"FrozenLake-v1\", render_mode=\"rgb_array\", is_slippery=False\n",
") # Set `is_slippery=True` for stochastic behavior\n",
"filename = gymnasium_render_model_gif(env, filename=\"ice1\")\n",
"extensions.embed_gif(filename)"
]
},
{
"cell_type": "markdown",
"id": "aa8fd49a",
"metadata": {},
"source": [
"We can convert it into an explicit MDP as follows. Each state has a label that relates to the coordinates of the tile."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "9b59e030",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:41:38.316395Z",
"iopub.status.busy": "2026-03-26T10:41:38.316101Z",
"iopub.status.idle": "2026-03-26T10:41:38.507292Z",
"shell.execute_reply": "2026-03-26T10:41:38.506698Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
" \n",
" Network\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sv_model = gymnasium_grid_to_stormvogel(env, GRID_ACTION_LABEL_MAP)\n",
"# GRID_ACTION_LABEL_MAP = {0: \"←\", 1: \"↓\", 2: \"→\", 3: \"↑\", 4: \"pickup\", 5: \"dropoff\"} (map between gymnasium action ids and labels)\n",
"show(sv_model)"
]
},
{
"cell_type": "markdown",
"id": "03abc240",
"metadata": {},
"source": [
"Now, let's do some model checking to calculate a strategy to solve the puzzle. We will tell the model checker to maximize the probability of getting to the target state (the present)."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "3ac98db9",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:41:38.514620Z",
"iopub.status.busy": "2026-03-26T10:41:38.514252Z",
"iopub.status.idle": "2026-03-26T10:41:38.551434Z",
"shell.execute_reply": "2026-03-26T10:41:38.550754Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
" \n",
" Network\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"res = model_checking(sv_model, 'Pmax=? [F \"target\"]')\n",
"vis2 = show(sv_model, result=res)"
]
},
{
"cell_type": "markdown",
"id": "10f9aa01",
"metadata": {},
"source": [
"Let's highlight the path to see what the scheduler is doing."
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "9915b0e3",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:41:38.559054Z",
"iopub.status.busy": "2026-03-26T10:41:38.558853Z",
"iopub.status.idle": "2026-03-26T10:41:53.619440Z",
"shell.execute_reply": "2026-03-26T10:41:53.618806Z"
}
},
"outputs": [],
"source": [
"path = simulate_path(sv_model, scheduler=res.scheduler, steps=20)\n",
"vis2.highlight_path(path, color=\"orange\")"
]
},
{
"cell_type": "markdown",
"id": "b76bff91",
"metadata": {},
"source": [
"Alternatively, we can show what our scheduler does in the frozen lake environment itself."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "26b029dd",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:41:53.621313Z",
"iopub.status.busy": "2026-03-26T10:41:53.621139Z",
"iopub.status.idle": "2026-03-26T10:41:53.668084Z",
"shell.execute_reply": "2026-03-26T10:41:53.667559Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"![](\"gifs/ice2.gif\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from stormvogel.extensions.gym_grid import *\n",
"\n",
"gs = to_gymnasium_scheduler(sv_model, res.scheduler, GRID_ACTION_LABEL_MAP)\n",
"filename = gymnasium_render_model_gif(env, gs, filename=\"ice2\")\n",
"extensions.embed_gif(filename)"
]
},
{
"cell_type": "markdown",
"id": "0c4e9089",
"metadata": {},
"source": [
"We can also define a function to act as the scheduler on the model and convert it to a gymnasium scheduler. This one just keeps going in a loop..."
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "85d24210",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:41:53.669943Z",
"iopub.status.busy": "2026-03-26T10:41:53.669772Z",
"iopub.status.idle": "2026-03-26T10:41:53.974595Z",
"shell.execute_reply": "2026-03-26T10:41:53.974083Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"![](\"gifs/ice3.gif\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from stormvogel.model import Action\n",
"\n",
"\n",
"def my_scheduler(s: stormvogel.model.State):\n",
" # \"←\" \"↓\" \"→\" \"↑\"\n",
" if s.is_initial():\n",
" return Action(\"→\")\n",
" env_id = s.get_valuation(stormvogel.model.Variable(\"env_id\"))\n",
" x, y = to_coordinate(env_id, env)\n",
" if x < 2 and y == 0:\n",
" return Action(\"→\")\n",
" elif x == 2 and y < 2:\n",
" return Action(\"↓\")\n",
" elif x > 0 and y == 2:\n",
" return Action(\"←\")\n",
" else:\n",
" return Action(\"↑\")\n",
"\n",
"\n",
"gs = to_gymnasium_scheduler(sv_model, my_scheduler, GRID_ACTION_LABEL_MAP)\n",
"filename = gymnasium_render_model_gif(env, gs, filename=\"ice3\")\n",
"extensions.embed_gif(filename)"
]
},
{
"cell_type": "markdown",
"id": "3289da87",
"metadata": {},
"source": [
"## CliffWalking\n",
"CliffWalking is a slightly more boring version of FrozenLake. You can apply the same principles that we just applied to FrozenLake."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "85caac0f",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:41:53.976571Z",
"iopub.status.busy": "2026-03-26T10:41:53.976348Z",
"iopub.status.idle": "2026-03-26T10:41:53.982607Z",
"shell.execute_reply": "2026-03-26T10:41:53.982133Z"
}
},
"outputs": [],
"source": [
"import gymnasium as gym\n",
"from stormvogel.extensions.gym_grid import *\n",
"\n",
"env = gym.make(\"CliffWalking-v1\", render_mode=\"rgb_array\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "9cbae131",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:41:53.984344Z",
"iopub.status.busy": "2026-03-26T10:41:53.984170Z",
"iopub.status.idle": "2026-03-26T10:41:54.023239Z",
"shell.execute_reply": "2026-03-26T10:41:54.022746Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
" \n",
" Network\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sv_model = gymnasium_grid_to_stormvogel(env, GRID_ACTION_LABEL_MAP)\n",
"show(sv_model)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "b45aa1a5",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:41:54.030759Z",
"iopub.status.busy": "2026-03-26T10:41:54.030536Z",
"iopub.status.idle": "2026-03-26T10:41:54.224084Z",
"shell.execute_reply": "2026-03-26T10:41:54.223514Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"![](\"gifs/cliff.gif\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from stormvogel.stormpy_utils.model_checking import model_checking\n",
"\n",
"res = model_checking(sv_model, 'Pmax=? [F \"target\"]')\n",
"gs = to_gymnasium_scheduler(sv_model, res.scheduler, GRID_ACTION_LABEL_MAP)\n",
"filename = gymnasium_render_model_gif(env, gs, filename=\"cliff\")\n",
"extensions.embed_gif(filename)"
]
},
{
"cell_type": "markdown",
"id": "b7d9f139",
"metadata": {},
"source": [
"## Taxi\n",
"In the Taxi scenario, a taxi has to pick up passengers and transport them to the hotel. The position of the target, passenger and taxi are chosen at random."
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "ec41d165",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:41:54.226005Z",
"iopub.status.busy": "2026-03-26T10:41:54.225814Z",
"iopub.status.idle": "2026-03-26T10:41:54.427107Z",
"shell.execute_reply": "2026-03-26T10:41:54.426458Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'ModelType.MDP model with 3529 states, 6049 choices, and 1005 distinct labels.'"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import gymnasium as gym\n",
"from stormvogel.extensions.gym_grid import *\n",
"\n",
"env = gym.make(\n",
" \"Taxi-v3\", render_mode=\"rgb_array\"\n",
") # Set `is_slippery=True` for stochastic behavior\n",
"sv_model = gymnasium_grid_to_stormvogel(env)\n",
"# This model is so big that it is better not to display it.\n",
"sv_model.summary()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "b2c99d68",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:41:54.428957Z",
"iopub.status.busy": "2026-03-26T10:41:54.428771Z",
"iopub.status.idle": "2026-03-26T10:41:55.377419Z",
"shell.execute_reply": "2026-03-26T10:41:55.376798Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"![](\"gifs/taxi.gif\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"target = get_target_state(env)\n",
"res = model_checking(sv_model, \"Rmax=? [S]\")\n",
"gs = to_gymnasium_scheduler(sv_model, res.scheduler, GRID_ACTION_LABEL_MAP)\n",
"filename = gymnasium_render_model_gif(env, gs, filename=\"taxi\")\n",
"extensions.embed_gif(filename)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.13"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {
"509c8532dac74650a4782aeb64178a0b": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_845b332b64fa498ca788fa8b870d3091",
"msg_id": "",
"outputs": [],
"tabbable": null,
"tooltip": null
}
},
"516a5186d7b44781abcb6a520c8aaaaf": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_d74381ad29964019b0a92bb26fdfbbc4",
"msg_id": "",
"outputs": [],
"tabbable": null,
"tooltip": null
}
},
"55356123c13847b98e0c1f9f473cd6b7": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": 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,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"59d239dfe3ca4bf4979cc2419003a7ca": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": 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,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"726e5bf9558640cb940148c5dec6ed39": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_d1033ccf70594e1aacd20e0f5e3f297d",
"msg_id": "",
"outputs": [],
"tabbable": null,
"tooltip": null
}
},
"845b332b64fa498ca788fa8b870d3091": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": 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,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"9275ba784cd5456188721a9dce3d834e": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_59d239dfe3ca4bf4979cc2419003a7ca",
"msg_id": "",
"outputs": [],
"tabbable": null,
"tooltip": null
}
},
"9ea0817a30d74959809a57a00985ed16": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": 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,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"a59b03a7ae974ca8ba303959b2f962ae": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_9ea0817a30d74959809a57a00985ed16",
"msg_id": "",
"outputs": [],
"tabbable": null,
"tooltip": null
}
},
"d1033ccf70594e1aacd20e0f5e3f297d": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": 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,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d74381ad29964019b0a92bb26fdfbbc4": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": 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,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"daf3421e6a3d4866aa26135c00f29050": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_55356123c13847b98e0c1f9f473cd6b7",
"msg_id": "",
"outputs": [],
"tabbable": null,
"tooltip": null
}
}
},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}