{ "cells": [ { "cell_type": "code", "execution_count": 5, "metadata": { "scrolled": false }, "outputs": [ { "ename": "ModuleNotFoundError", "evalue": "No module named 'simulation'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mSimCAD\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mengine\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mExecutionMode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mExecutionContext\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mExecutor\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0msimulation\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalidation\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mconfig1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mSimCAD\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mconfigs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'simulation'" ] } ], "source": [ "import pandas as pd\n", "from tabulate import tabulate\n", "\n", "from SimCAD.engine import ExecutionMode, ExecutionContext, Executor\n", "from simulations.validation import config1, config2\n", "from SimCAD import configs\n", "\n", "# ToDo: pass ExecutionContext with execution method as ExecutionContext input\n", "\n", "exec_mode = ExecutionMode()\n", "\n", "print(\"Simulation Run 1\")\n", "print()\n", "single_config = [configs[0]]\n", "single_proc_ctx = ExecutionContext(exec_mode.single_proc)\n", "run1 = Executor(single_proc_ctx, single_config)\n", "run1_raw_result = run1.main()\n", "result = pd.DataFrame(run1_raw_result[0])\n", "print(tabulate(result, headers='keys', tablefmt='psql'))\n", "print()\n", "\n", "print(\"Simulation Run 2: Pairwise Execution\")\n", "print()\n", "multi_proc_ctx = ExecutionContext(exec_mode.multi_proc)\n", "run2 = Executor(multi_proc_ctx, configs)\n", "run2_raw_results = run2.main()\n", "for raw_result in run2_raw_results:\n", " result = pd.DataFrame(raw_result[0])\n", " print(tabulate(result, headers='keys', tablefmt='psql'))\n", "print()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }