def iter_get_ml_task_runs(
self,
transform_id: "capo_glue.types.hash_string.HashString",
*,
config_overrides: Optional[GlueClientConfig] = None,
next_token: Optional["capo_glue.types.pagination_token.PaginationToken"] = None,
max_results: Optional["capo_glue.types.page_size.PageSize"] = None,
filter: Optional[
"capo_glue.types.task_run_filter_criteria.TaskRunFilterCriteria"
] = None,
sort: Optional[
"capo_glue.types.task_run_sort_criteria.TaskRunSortCriteria"
] = None,
) -> "Iterator[capo_glue.types.get_ml_task_runs_response.GetMLTaskRunsResponse]":
_token = next_token
while True:
_response = self.get_ml_task_runs(
transform_id,
config_overrides=config_overrides,
next_token=_token,
max_results=max_results,
filter=filter,
sort=sort,
)
yield _response
_token = _resolve_path(_response, ("next_token",))
if not _token:
break