iter_list_trained_model_inference_jobs `async` ¶

iter_list_trained_model_inference_jobs(
    membership_identifier: UUID,
    *,
    config_overrides: Optional[AsyncCleanRoomsMLClientConfig] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
    trained_model_arn: Optional[TrainedModelArn] = None,
    trained_model_version_identifier: Optional[UUID] = None,
) -> AsyncIterator[TrainedModelInferenceJobSummary]

Source code in docs_src/capo_cleanroomsml/_services/async_clean_rooms_ml.py

async def iter_list_trained_model_inference_jobs(
    self,
    membership_identifier: "capo_cleanroomsml.types.uuid.UUID",
    *,
    config_overrides: Optional[AsyncCleanRoomsMLClientConfig] = None,
    next_token: Optional["capo_cleanroomsml.types.next_token.NextToken"] = None,
    max_results: Optional["capo_cleanroomsml.types.max_results.MaxResults"] = None,
    trained_model_arn: Optional[
        "capo_cleanroomsml.types.trained_model_arn.TrainedModelArn"
    ] = None,
    trained_model_version_identifier: Optional[
        "capo_cleanroomsml.types.uuid.UUID"
    ] = None,
) -> "AsyncIterator[capo_cleanroomsml.types.trained_model_inference_job_summary.TrainedModelInferenceJobSummary]":
    _token = next_token
    while True:
        _response = await self.list_trained_model_inference_jobs(
            membership_identifier,
            config_overrides=config_overrides,
            next_token=_token,
            max_results=max_results,
            trained_model_arn=trained_model_arn,
            trained_model_version_identifier=trained_model_version_identifier,
        )
        _page = _resolve_path(_response, ("trained_model_inference_jobs",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break

iter_list_trained_model_inference_jobs async ¶

iter_list_trained_model_inference_jobs `async` ¶