iter_list_inference_schedulers ¶

iter_list_inference_schedulers(
    *,
    config_overrides: Optional[LookoutEquipmentClientConfig] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
    inference_scheduler_name_begins_with: Optional[InferenceSchedulerIdentifier] = None,
    model_name: Optional[ModelName] = None,
    status: Optional[InferenceSchedulerStatus] = None,
) -> Iterator[ListInferenceSchedulersResponse]

Source code in docs_src/capo_lookoutequipment/_services/lookout_equipment.py

def iter_list_inference_schedulers(
    self,
    *,
    config_overrides: Optional[LookoutEquipmentClientConfig] = None,
    next_token: Optional["capo_lookoutequipment.types.next_token.NextToken"] = None,
    max_results: Optional[
        "capo_lookoutequipment.types.max_results.MaxResults"
    ] = None,
    inference_scheduler_name_begins_with: Optional[
        "capo_lookoutequipment.types.inference_scheduler_identifier.InferenceSchedulerIdentifier"
    ] = None,
    model_name: Optional["capo_lookoutequipment.types.model_name.ModelName"] = None,
    status: Optional[
        "capo_lookoutequipment.types.inference_scheduler_status.InferenceSchedulerStatus"
    ] = None,
) -> "Iterator[capo_lookoutequipment.types.list_inference_schedulers_response.ListInferenceSchedulersResponse]":
    _token = next_token
    while True:
        _response = self.list_inference_schedulers(
            config_overrides=config_overrides,
            next_token=_token,
            max_results=max_results,
            inference_scheduler_name_begins_with=inference_scheduler_name_begins_with,
            model_name=model_name,
            status=status,
        )
        yield _response
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break