salvus.project.components.action.inversion.inversion_action_component

class InversionActionComponent(builtins.object):
    def __init__(self, project: Project): ...

def compute_gradients(
    self,
    simulation_configuration: str,
    misfit_configuration: str,
    events: str | list[str] | Event | list[Event] | EventCollection,
    site_name: str,
    ranks_per_job: int,
    wall_time_in_seconds_per_job: salvus._core.types.float_ | None = None,
    memory_per_rank_in_MB: float | None = None,
    max_events_per_job_submission: int = 0,
    wavefield_compression: WavefieldCompression | None = None,
    gradient_parameters: set[str] | None = None,
    delete_dependent_jobs: bool = True,
    verbosity: int = 0,
) -> dict[str, pathlib.Path] | None: ...

def compute_misfits(
    self,
    simulation_configuration: str,
    misfit_configuration: str,
    events: str | list[str] | Event | list[Event] | EventCollection,
    site_name: str,
    ranks_per_job: int,
    wall_time_in_seconds_per_job: salvus._core.types.float_ | None = None,
    memory_per_rank_in_MB: float | None = None,
    max_events_per_job_submission: int = 0,
    derived_job_config: WavefieldCompression | None = None,
    delete_dependent_jobs: bool = True,
    verbosity: int = 0,
    store_checkpoints: bool | None = None,
) -> dict[str, float] | None: ...

def smooth_model(
    self,
    model: UnstructuredMesh | UnstructuredModel,
    smoothing_configuration: (
        ConstantSmoothing | ModelDependentSmoothing | SpaceDependentSmoothing
    ),
    site_name: str,
    ranks_per_job: int,
    wall_time_in_seconds_per_job: salvus._core.types.float_ | None = None,
    verbosity: int = 0,
    run_async: bool = False,
) -> UnstructuredMesh | SalvusJobArray: ...

def sum_gradients(
    self,
    simulation_configuration: str,
    misfit_configuration: str,
    events: str | list[str] | Event | list[Event] | EventCollection,
    wavefield_compression: WavefieldCompression | None = None,
    gradient_parameters: set[str] | None = None,
) -> UnstructuredMesh: ...