async def iter_list_auto_ml_jobs(
self,
*,
config_overrides: Optional[AsyncSageMakerClientConfig] = 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,
) -> "AsyncIterator[capo_sagemaker.types.auto_ml_job_summary.AutoMLJobSummary]":
_token = next_token
while True:
_response = await 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