iter_list_auto_ml_jobs ¶

def iter_list_auto_ml_jobs(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    creation_time_after: Optional[
        "capo_sagemaker.types.timestamp.Timestamp"
    ] = None,
    creation_time_before: Optional[
        "capo_sagemaker.types.timestamp.Timestamp"
    ] = None,
    last_modified_time_after: Optional[
        "capo_sagemaker.types.timestamp.Timestamp"
    ] = None,
    last_modified_time_before: Optional[
        "capo_sagemaker.types.timestamp.Timestamp"
    ] = None,
    name_contains: Optional[
        "capo_sagemaker.types.auto_ml_name_contains.AutoMLNameContains"
    ] = None,
    status_equals: Optional[
        "capo_sagemaker.types.auto_ml_job_status.AutoMLJobStatus"
    ] = None,
    sort_order: Optional[
        "capo_sagemaker.types.auto_ml_sort_order.AutoMLSortOrder"
    ] = None,
    sort_by: Optional["capo_sagemaker.types.auto_ml_sort_by.AutoMLSortBy"] = None,
    max_results: Optional[
        "capo_sagemaker.types.auto_ml_max_results.AutoMLMaxResults"
    ] = None,
    next_token: Optional["capo_sagemaker.types.next_token.NextToken"] = None,
) -> "Iterator[capo_sagemaker.types.auto_ml_job_summary.AutoMLJobSummary]":
    _token = next_token
    while True:
        _response = self.list_auto_ml_jobs(
            config_overrides=config_overrides,
            creation_time_after=creation_time_after,
            creation_time_before=creation_time_before,
            last_modified_time_after=last_modified_time_after,
            last_modified_time_before=last_modified_time_before,
            name_contains=name_contains,
            status_equals=status_equals,
            sort_order=sort_order,
            sort_by=sort_by,
            max_results=max_results,
            next_token=_token,
        )
        _page = _resolve_path(_response, ("auto_ml_job_summaries",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break