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 _job_manager_default(self):
from kromatography.model.factories.job_manager import \
create_start_job_manager
from kromatography.utils.app_utils import get_preferences
preferences = get_preferences()
job_manager = create_start_job_manager(
max_workers=preferences.solver_preferences.executor_num_worker)
return job_manager
def make_sample_brute_force_optimizer_explorer(num_param,
num_values=NUM_VALUES,
with_data=True,
run=False,
**kwargs):
optimizer = make_sample_brute_force_optimizer(num_params=num_param,
num_values=num_values,
with_data=with_data)
if run:
from kromatography.model.factories.job_manager import \
create_start_job_manager
job_manager = create_start_job_manager(max_workers=2)
try:
optimizer.run(job_manager, wait=True)
finally:
job_manager.shutdown()
explorer = OptimizerCostFunctionExplorer(optimizer=optimizer, **kwargs)
return optimizer, explorer
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.job_manager = create_start_job_manager(max_workers=2)
def setUpClass(cls):
# Limit the number of process to avoid saturating the machine
cls.job_manager = create_start_job_manager(max_workers=2)
def _job_manager_default(self):
job_manager = create_start_job_manager()
return job_manager
def _job_manager_default(self):
from kromatography.model.factories.job_manager import \
create_start_job_manager
return create_start_job_manager(max_workers=self.max_workers)
def setUpClass(cls):
# Avoid over-allocating work processes to avoid crashing OS
cls.job_manager = create_start_job_manager(max_workers=2)
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)