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)
