iter_list_cluster_scheduler_configs ¶

def iter_list_cluster_scheduler_configs(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    created_after: Optional["capo_sagemaker.types.timestamp.Timestamp"] = None,
    created_before: Optional["capo_sagemaker.types.timestamp.Timestamp"] = None,
    name_contains: Optional["capo_sagemaker.types.entity_name.EntityName"] = None,
    cluster_arn: Optional["capo_sagemaker.types.cluster_arn.ClusterArn"] = None,
    status: Optional[
        "capo_sagemaker.types.scheduler_resource_status.SchedulerResourceStatus"
    ] = None,
    sort_by: Optional[
        "capo_sagemaker.types.sort_cluster_scheduler_config_by.SortClusterSchedulerConfigBy"
    ] = None,
    sort_order: Optional["capo_sagemaker.types.sort_order.SortOrder"] = None,
    next_token: Optional["capo_sagemaker.types.next_token.NextToken"] = None,
    max_results: Optional["capo_sagemaker.types.max_results.MaxResults"] = None,
) -> "Iterator[capo_sagemaker.types.cluster_scheduler_config_summary.ClusterSchedulerConfigSummary]":
    _token = next_token
    while True:
        _response = self.list_cluster_scheduler_configs(
            config_overrides=config_overrides,
            created_after=created_after,
            created_before=created_before,
            name_contains=name_contains,
            cluster_arn=cluster_arn,
            status=status,
            sort_by=sort_by,
            sort_order=sort_order,
            next_token=_token,
            max_results=max_results,
        )
        _page = _resolve_path(_response, ("cluster_scheduler_config_summaries",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break