def setUp(self): study1 = make_sample_study2(add_transp_bind_models=True, add_sims=1) self.sim1 = study1.simulations[0] study2 = make_sample_study2(add_transp_bind_models=True, add_sims=1, with_ph_bind=True) self.sim2 = study2.simulations[0]
def setUpClass(cls): real_study = make_sample_study2(add_transp_bind_models=True) real_exp = real_study.search_experiment_by_name('Run_1') cls.source_method = real_exp.method cls.first_simulated_step = "Load" cls.last_simulated_step = "Strip"
def setUpClass(cls): cls.real_study = make_sample_study2(add_transp_bind_models=True, add_sims='Run_1') cls.real_sim = cls.real_study.simulations[0] # Limit the number of process to avoid saturating the machine cls.job_manager = create_start_job_manager(max_workers=2) # Run the sim cls.real_sim.run(cls.job_manager, wait=True)
def setUp(self): self.study = make_sample_study2(add_transp_bind_models=True, add_sims='Run_1') self.sim = self.study.simulations[0] self.sim_run = self.sim.copy() # Save time by loading results from an already generated file: self.result_filepath = io_data_path("std_example_xlsx_run1_cadet.h5") update_simulation_results(self.sim_run, self.result_filepath) self.sim_run.set_as_run()
def setUp(self): GuiTestAssistant.setUp(self) self.study = make_sample_study2() exp1 = self.study.search_experiment_by_name('Run_1') self.sim1 = build_simulation_from_experiment(exp1) self.study.simulations.append(self.sim1) exp2 = self.study.search_experiment_by_name('Run_2') self.sim2 = build_simulation_from_experiment(exp2) self.study.simulations.append(self.sim2)
def setUp(self): self.study = make_sample_study2(add_transp_bind_models=True, add_sims='Run_1') self.sim = self.study.simulations[0] # Save time by loading results from an already generated file: self.result_filepath = io_data_path("std_example_xlsx_run1_cadet.h5") update_simulation_results(self.sim, output_fname=self.result_filepath) self.sim.set_as_run() # Add a simulation grid grp = SimulationGroup(center_point_simulation=self.sim, name="new group") self.study.analysis_tools.simulation_grids.append(grp) # Add a Monte Carlo simulation group mc_grp = make_sample_mc_simulation_group() self.study.analysis_tools.monte_carlo_explorations.append(mc_grp) # Skip attributes not stored in a study/task: (user) datasource, # study_datasource.dirty, sim group's cp, self.ignore = {'center_point_simulation', 'datasource', 'perf_params', 'dirty'}
def setUp(self): self.datasource = SimpleDataSource() self.study = make_sample_study2(add_transp_bind_models=True) self.study_ds = self.study.study_datasource self.sim_builder = SimulationFromDatasourceBuilder( datasource=self.datasource, study_datasource=self.study_ds)
def setUp(self): self.study = make_sample_study2() transport_model = make_sample_transport_model() self.study.study_datasource.transport_models.append(transport_model) self.exp_name = self.study.experiments[0].name
def setUpClass(cls): cls.study2 = make_sample_study2(add_transp_bind_models=True) add_sims_from_exp_to_study(cls.study2, ['Run_1'], first_simulated_step_name="Load", last_simulated_step_name="Strip") cls.job_manager = create_start_job_manager(max_workers=2)
def setUpClass(cls): cls.study2 = make_sample_study2(add_transp_bind_models=True)
def setUpClass(cls): cls.real_study = make_sample_study2(add_transp_bind_models=True) cls.real_exp = cls.real_study.search_experiment_by_name('Run_1') cls.real_sim = build_simulation_from_experiment(cls.real_exp) cls.job_manager = create_start_job_manager(max_workers=1)