def iter_list_clusters(
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,
max_results: Optional["capo_sagemaker.types.max_results.MaxResults"] = None,
name_contains: Optional[
"capo_sagemaker.types.name_contains.NameContains"
] = None,
next_token: Optional["capo_sagemaker.types.next_token.NextToken"] = None,
sort_by: Optional["capo_sagemaker.types.cluster_sort_by.ClusterSortBy"] = None,
sort_order: Optional["capo_sagemaker.types.sort_order.SortOrder"] = None,
training_plan_arn: Optional[
"capo_sagemaker.types.training_plan_arn.TrainingPlanArn"
] = None,
) -> "Iterator[capo_sagemaker.types.cluster_summary.ClusterSummary]":
_token = next_token
while True:
_response = self.list_clusters(
config_overrides=config_overrides,
creation_time_after=creation_time_after,
creation_time_before=creation_time_before,
max_results=max_results,
name_contains=name_contains,
next_token=_token,
sort_by=sort_by,
sort_order=sort_order,
training_plan_arn=training_plan_arn,
)
_page = _resolve_path(_response, ("cluster_summaries",))
for _item in _page or []:
yield _item
_token = _resolve_path(_response, ("next_token",))
if not _token:
break