iter_list_dataset_entries async ¶

async def iter_list_dataset_entries(
    self,
    dataset_arn: "capo_rekognition.types.dataset_arn.DatasetArn",
    *,
    config_overrides: Optional[AsyncRekognitionClientConfig] = None,
    contains_labels: Optional[
        "capo_rekognition.types.dataset_labels.DatasetLabels"
    ] = None,
    labeled: Optional["capo_rekognition.types.is_labeled.IsLabeled"] = None,
    source_ref_contains: Optional[
        "capo_rekognition.types.query_string.QueryString"
    ] = None,
    has_errors: Optional["capo_rekognition.types.has_errors.HasErrors"] = None,
    next_token: Optional[
        "capo_rekognition.types.extended_pagination_token.ExtendedPaginationToken"
    ] = None,
    max_results: Optional[
        "capo_rekognition.types.list_dataset_entries_page_size.ListDatasetEntriesPageSize"
    ] = None,
) -> "AsyncIterator[capo_rekognition.types.dataset_entry.DatasetEntry]":
    _token = next_token
    while True:
        _response = await self.list_dataset_entries(
            dataset_arn,
            config_overrides=config_overrides,
            contains_labels=contains_labels,
            labeled=labeled,
            source_ref_contains=source_ref_contains,
            has_errors=has_errors,
            next_token=_token,
            max_results=max_results,
        )
        _page = _resolve_path(_response, ("dataset_entries",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break