{ "cells": [ { "cell_type": "markdown", "id": "50ec7cba-621f-44fd-ae7f-2ec0d3349a99", "metadata": {}, "source": [ "# Simulator\n", "If we have a transition system, it might be nice to run a simulation. In this case, we have an MDP that models a hungry lion. Depending on the state it is in, it needs to decide whether it wants to 'rawr' or 'hunt' in order to prevent reaching the state 'dead'." ] }, { "cell_type": "code", "execution_count": 1, "id": "5c5c1844-3115-45bd-8d23-1005d91ef2dc", "metadata": { "execution": { "iopub.execute_input": "2025-04-24T14:31:14.345544Z", "iopub.status.busy": "2025-04-24T14:31:14.345376Z", "iopub.status.idle": "2025-04-24T14:31:17.069389Z", "shell.execute_reply": "2025-04-24T14:31:17.068815Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4e6dccd0abf74f11a7b9b0a6dd85ac48", "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', 'hRVylFUbxHcbNpqFgDBd', '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": "bcc56eeb6ae9408886f63b80a9a8ca66", "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", "lion = examples.create_lion_mdp()\n", "vis = show(lion, layout=Layout(\"layouts/lion.json\"))" ] }, { "cell_type": "markdown", "id": "0c9068ba-2edf-49c4-997a-d836927954e2", "metadata": {}, "source": [ "Now, let's run a simulation of the lion! If we do not provide a scheduling function, then the simulator just does a random walk, taking a random choice each time." ] }, { "cell_type": "code", "execution_count": 2, "id": "c5268c5a-0d2c-472a-ae32-0298130e6ed3", "metadata": { "execution": { "iopub.execute_input": "2025-04-24T14:31:17.104553Z", "iopub.status.busy": "2025-04-24T14:31:17.104343Z", "iopub.status.idle": "2025-04-24T14:31:17.110053Z", "shell.execute_reply": "2025-04-24T14:31:17.109525Z" } }, "outputs": [], "source": [ "path = simulate_path(lion, steps=5, seed=1234)" ] }, { "cell_type": "markdown", "id": "a7053fa9-771c-4b0a-a4a1-e76d4ecc81d4", "metadata": {}, "source": [ "Let's visualize this path in the visualization. Take a look at the model above after executing the next cell." ] }, { "cell_type": "code", "execution_count": 3, "id": "31b84b05-2a63-49f3-9a41-9fc8a89793ad", "metadata": { "execution": { "iopub.execute_input": "2025-04-24T14:31:17.112389Z", "iopub.status.busy": "2025-04-24T14:31:17.112057Z", "iopub.status.idle": "2025-04-24T14:31:28.151183Z", "shell.execute_reply": "2025-04-24T14:31:28.150633Z" } }, "outputs": [], "source": [ "vis.highlight_path(path, \"red\", 1, clear=True)" ] }, { "cell_type": "markdown", "id": "2239e42c-e526-42e0-b560-01e39389928e", "metadata": {}, "source": [ "We could also provide a scheduling function to choose the actions ourselves. This is somewhat similar to the `pgc` API." ] }, { "cell_type": "code", "execution_count": 4, "id": "ffd804bb-3c8a-4dc4-b3c8-58fdf35c5aad", "metadata": { "execution": { "iopub.execute_input": "2025-04-24T14:31:28.153389Z", "iopub.status.busy": "2025-04-24T14:31:28.153213Z", "iopub.status.idle": "2025-04-24T14:31:28.158500Z", "shell.execute_reply": "2025-04-24T14:31:28.157993Z" } }, "outputs": [], "source": [ "def scheduler(s: State) -> Action:\n", " return Action.create(\"rawr\")\n", "\n", "path2 = stormvogel.stormpy_utils.simulator.simulate_path(lion, steps=5, seed=1234, scheduler=scheduler)" ] }, { "cell_type": "code", "execution_count": 5, "id": "563c8264-5748-4a55-8dd0-7b677ea9fa64", "metadata": { "execution": { "iopub.execute_input": "2025-04-24T14:31:28.160621Z", "iopub.status.busy": "2025-04-24T14:31:28.160295Z", "iopub.status.idle": "2025-04-24T14:31:39.199012Z", "shell.execute_reply": "2025-04-24T14:31:39.198468Z" } }, "outputs": [], "source": [ "vis.highlight_path(path2, \"red\", 1, clear=True)" ] }, { "cell_type": "markdown", "id": "feec3fa6-231c-4173-9d12-e40f570a20cc", "metadata": {}, "source": [ "We can also use the scheduler to create a partial model. This model contains all the states that have been discovered by the the simulation." ] }, { "cell_type": "code", "execution_count": 6, "id": "23a6a1c4-8c5c-4fb9-ad5d-ed5c53fcfa79", "metadata": { "execution": { "iopub.execute_input": "2025-04-24T14:31:39.201366Z", "iopub.status.busy": "2025-04-24T14:31:39.201056Z", "iopub.status.idle": "2025-04-24T14:31:39.252720Z", "shell.execute_reply": "2025-04-24T14:31:39.252166Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c2ffbf5180844ba5bce6da27bfd5816a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "747a1c708bb649c69c3b426d099ed0fe", "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": [ "partial_model = stormvogel.stormpy_utils.simulator.simulate(lion, steps=5, scheduler=scheduler, seed=1234)\n", "vis2 = show(partial_model)" ] }, { "cell_type": "code", "execution_count": null, "id": "beb02a83-b07e-44ed-af06-1254c32fdc37", "metadata": {}, "outputs": [], "source": [] } ], "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": "3.12.3" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { "1b68c18cc29b4bbaaee748cbef05cfdd": { "model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": { "_dom_classes": [], 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