{ "cells": [ { "cell_type": "markdown", "id": "0e8c899f-1b64-4a74-801d-35968144d20a", "metadata": {}, "source": [ "# Strompy 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": "0a3b558f-a39b-4e22-a12b-6c0bc7913f00", "metadata": { "execution": { "iopub.execute_input": "2025-04-24T14:31:07.839522Z", "iopub.status.busy": "2025-04-24T14:31:07.839344Z", "iopub.status.idle": "2025-04-24T14:31:10.565239Z", "shell.execute_reply": "2025-04-24T14:31:10.564697Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c069efa828b94cf6b0437c31d74e8612", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/javascript": [ "return_id_result('http://127.0.0.1:8889', 'mprvbmTxArNvsjMUqbBY', 'test message')" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test request failed. See 'Communication server remark' in docs. Disable warning by use_server=False.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "02c1757761e941ae976f1d3ccd1856ac", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", "\n", " \n", " Network\n", " \n", " \n", " \n", " \n", "
\n", " \n", " \n", " \n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from stormvogel import *\n", "stormvogel_model = examples.create_car_mdp()\n", "vis = show(stormvogel_model, layout=stormvogel.layout.Layout(\"layouts/car.json\"))" ] }, { "cell_type": "markdown", "id": "772f90ff-1611-464c-9afa-daaa765c22bd", "metadata": {}, "source": [ "First, let's convert the stormvogel model to the same model in stormpy." ] }, { "cell_type": "code", "execution_count": 2, "id": "84bbe4cf-9529-47d4-b863-e829ea59b799", "metadata": { "execution": { "iopub.execute_input": "2025-04-24T14:31:10.600213Z", "iopub.status.busy": "2025-04-24T14:31:10.600003Z", "iopub.status.idle": "2025-04-24T14:31:10.604658Z", "shell.execute_reply": "2025-04-24T14:31:10.604155Z" } }, "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", " * green light -> 2 item(s)\n", " * red light -> 2 item(s)\n", " * still -> 2 item(s)\n", " * moving -> 2 item(s)\n", " * accident -> 1 item(s)\n", " * init -> 1 item(s)\n", "Choice Labels: \t3 labels\n", " * wait -> 4 item(s)\n", " * brake -> 2 item(s)\n", " * accelerate -> 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": "9a71fabf-0a20-4d86-83db-1edde6fdf206", "metadata": {}, "source": [ "And now we convert it back." ] }, { "cell_type": "code", "execution_count": 3, "id": "f400d486-0bc5-4aa8-91e8-84ad0df08e3c", "metadata": { "execution": { "iopub.execute_input": "2025-04-24T14:31:10.607213Z", "iopub.status.busy": "2025-04-24T14:31:10.606881Z", "iopub.status.idle": "2025-04-24T14:31:10.663890Z", "shell.execute_reply": "2025-04-24T14:31:10.663304Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "076d5d904d3c4db9aa5dafcc8f0ee5d4", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "5b2e31c4bdae4e00a19cd2a6ee0f6c7f", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", "\n", " \n", " Network\n", " \n", " \n", " \n", " \n", "
\n", " \n", " \n", " \n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "stormvogel_model2 = stormpy_to_stormvogel(stormpy_model)\n", "vis = show(stormvogel_model2, layout=Layout(\"layouts/car.json\"))" ] }, { "cell_type": "markdown", "id": "ca0296e6-fda4-4a50-898d-848416306a1d", "metadata": {}, "source": [ "The result of the double conversion is equal to the original model." ] }, { "cell_type": "code", "execution_count": 4, "id": "bc0afb41-045b-4ae8-b7eb-de590c37a2b0", "metadata": { "execution": { "iopub.execute_input": "2025-04-24T14:31:10.698018Z", "iopub.status.busy": "2025-04-24T14:31:10.697555Z", "iopub.status.idle": "2025-04-24T14:31:10.701620Z", "shell.execute_reply": "2025-04-24T14:31:10.701143Z" } }, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stormvogel_model == stormvogel_model2" ] } ], "metadata": { "kernelspec": { 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