sbmlsim.simulator.rr_simulator_ray

Parallel simulation using ray.

Module Contents

Classes

SimulatorActor	Ray actor to execute simulations.
SimulatorRayRR	Parallel simulator using multiple cores via ray.

Attributes

logger

sbmlsim.simulator.rr_simulator_ray.logger

class sbmlsim.simulator.rr_simulator_ray.SimulatorActor

Bases: sbmlsim.simulator.rr_worker.SimulationWorkerRR

Ray actor to execute simulations.

An actor is essentially a stateful worker

work(simulations)

Run a bunch of simulations on a single worker.

Parameters:

simulations (List[sbmlsim.simulation.TimecourseSim]) –

Return type:

List[pandas.DataFrame]

class sbmlsim.simulator.rr_simulator_ray.SimulatorRayRR(actor_count=None)

Bases: sbmlsim.simulator.rr_simulator_abstract.SimulatorAbstractRR

Parallel simulator using multiple cores via ray.

Parameters:

actor_count (Optional[int]) –

static from_sbml(sbml_path, actor_count=None)

Set model from SBML.

Parameters:

• sbml_path (pathlib.Path) –

• actor_count (Optional[int]) –

Return type:

SimulatorRayRR

set_model(model_state)

Set model from state.

Parameters:

model_state (bytes) –

Return type:

None

set_timecourse_selections(selections=None)

Set timecourse selections.

Parameters:

selections (Optional[Iterator[str]]) –

Return type:

None

set_integrator_settings(**kwargs)

Set integrator settings.

_run_timecourses(simulations)

Execute timecourse simulations.

Parameters:

simulations (List[sbmlsim.simulation.TimecourseSim]) –

Return type:

List[pandas.DataFrame]

static _create_chunks(item, size)

Yield successive sized chunks from item.

Parameters:

size (int) –

static cpu_count()

Get physical CPU count.

Return type:

int