{
"cells": [
{
"cell_type": "markdown",
"id": "4fa0c0e3",
"metadata": {},
"source": [
"# Stormpy Conversion\n",
"Models can be converted back and forth between stormvogel and stormpy with ease using the `mapping` module.
\n",
"This is useful, because this allows you to combine both APIs. For example, you could create a model in stormvogel becuase it has an easy API, do some model checking in stormpy, and then convert it back to display the results. (Note that there is also a direct model checking function available that uses stormpy behind the scenes.)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "068e24ad",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:47:21.721822Z",
"iopub.status.busy": "2026-03-26T10:47:21.721593Z",
"iopub.status.idle": "2026-03-26T10:47:22.114345Z",
"shell.execute_reply": "2026-03-26T10:47:22.113769Z"
}
},
"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": [
"from stormvogel import *\n",
"\n",
"stormvogel_model = examples.create_car_mdp()\n",
"vis = show(stormvogel_model, layout=stormvogel.layout.Layout(\"layouts/car.json\"))"
]
},
{
"cell_type": "markdown",
"id": "7dbdd35f",
"metadata": {},
"source": [
"First, let's convert the stormvogel model to the same model in stormpy."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "42933703",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:47:22.121426Z",
"iopub.status.busy": "2026-03-26T10:47:22.121110Z",
"iopub.status.idle": "2026-03-26T10:47:22.124663Z",
"shell.execute_reply": "2026-03-26T10:47:22.124165Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-------------------------------------------------------------- \n",
"Model type: \tMDP (sparse)\n",
"States: \t5\n",
"Transitions: \t9\n",
"Choices: \t9\n",
"Reward Models: none\n",
"State Labels: \t6 labels\n",
" * red light -> 2 item(s)\n",
" * init -> 1 item(s)\n",
" * accident -> 1 item(s)\n",
" * still -> 2 item(s)\n",
" * moving -> 2 item(s)\n",
" * green light -> 2 item(s)\n",
"Choice Labels: \t3 labels\n",
" * wait -> 4 item(s)\n",
" * accelerate -> 2 item(s)\n",
" * brake -> 2 item(s)\n",
"-------------------------------------------------------------- \n",
"\n"
]
}
],
"source": [
"import stormvogel.stormpy_utils.mapping as mapping\n",
"\n",
"stormpy_model = mapping.stormvogel_to_stormpy(stormvogel_model)\n",
"print(stormpy_model)"
]
},
{
"cell_type": "markdown",
"id": "5d27a12b",
"metadata": {},
"source": [
"And now we convert it back."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "ecc70aed",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:47:22.126265Z",
"iopub.status.busy": "2026-03-26T10:47:22.126099Z",
"iopub.status.idle": "2026-03-26T10:47:22.155382Z",
"shell.execute_reply": "2026-03-26T10:47:22.154831Z"
}
},
"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": [
"stormvogel_model2 = mapping.stormpy_to_stormvogel(stormpy_model)\n",
"vis = show(stormvogel_model2, layout=Layout(\"layouts/car.json\"))"
]
},
{
"cell_type": "markdown",
"id": "99f6d70a",
"metadata": {},
"source": [
"The result of the double conversion is equal to the original model."
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "7e0a543a",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-26T10:47:22.162186Z",
"iopub.status.busy": "2026-03-26T10:47:22.162021Z",
"iopub.status.idle": "2026-03-26T10:47:22.165706Z",
"shell.execute_reply": "2026-03-26T10:47:22.165228Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stormvogel_model == stormvogel_model2"
]
}
],
"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": {
"2412f02db6064ed5b69f3bc754171855": {
"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
}
},
"31f27ddce5bc4b0180e08fb79df4642c": {
"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
}
},
"499996e8e3ad4c2a8923575785ed1bc9": {
"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
}
},
"59012d1345e64e8f88485c215c393d38": {
"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_2412f02db6064ed5b69f3bc754171855",
"msg_id": "",
"outputs": [],
"tabbable": null,
"tooltip": null
}
},
"75e3cb66f912427295aa2e2117e8623a": {
"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_499996e8e3ad4c2a8923575785ed1bc9",
"msg_id": "",
"outputs": [],
"tabbable": null,
"tooltip": null
}
},
"9998a330e33844eb9e846b251c3599b1": {
"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_a95d419e218240e8984c97bb595bcd01",
"msg_id": "",
"outputs": [],
"tabbable": null,
"tooltip": null
}
},
"a4da0cea0ccd4d6da9192e3747570569": {
"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_31f27ddce5bc4b0180e08fb79df4642c",
"msg_id": "",
"outputs": [],
"tabbable": null,
"tooltip": null
}
},
"a95d419e218240e8984c97bb595bcd01": {
"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
}
}
},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}