# Path: google/cloud/datalabeling_v1beta1/types/dataset.py
# class DataType(proto.Enum):
# class Dataset(proto.Message):
# class InputConfig(proto.Message):
# class TextMetadata(proto.Message):
# class ClassificationMetadata(proto.Message):
# class GcsSource(proto.Message):
# class BigQuerySource(proto.Message):
# class OutputConfig(proto.Message):
# class GcsDestination(proto.Message):
# class GcsFolderDestination(proto.Message):
# class DataItem(proto.Message):
# class AnnotatedDataset(proto.Message):
# class LabelStats(proto.Message):
# class AnnotatedDatasetMetadata(proto.Message):
# class Example(proto.Message):
#     DATA_TYPE_UNSPECIFIED = 0
#     IMAGE = 1
#     VIDEO = 2
#     TEXT = 4
#     GENERAL_DATA = 6
# 
# Path: google/cloud/datalabeling_v1beta1/types/human_annotation_config.py
# class StringAggregationType(proto.Enum):
# class HumanAnnotationConfig(proto.Message):
# class ImageClassificationConfig(proto.Message):
# class BoundingPolyConfig(proto.Message):
# class PolylineConfig(proto.Message):
# class SegmentationConfig(proto.Message):
# class VideoClassificationConfig(proto.Message):
#     class AnnotationSpecSetConfig(proto.Message):
# class ObjectDetectionConfig(proto.Message):
# class ObjectTrackingConfig(proto.Message):
# class EventConfig(proto.Message):
# class TextClassificationConfig(proto.Message):
# class SentimentConfig(proto.Message):
# class TextEntityExtractionConfig(proto.Message):
#     STRING_AGGREGATION_TYPE_UNSPECIFIED = 0
#     MAJORITY_VOTE = 1
#     UNANIMOUS_VOTE = 2
#     NO_AGGREGATION = 3


import proto  # type: ignore
from google.cloud.datalabeling_v1beta1.types import dataset as gcd_dataset
from google.cloud.datalabeling_v1beta1.types import human_annotation_config
from google.protobuf import timestamp_pb2  # type: ignore
from google.rpc import status_pb2  # type: ignore

    dataset = proto.Field(proto.STRING, number=1,)
    total_count = proto.Field(proto.INT32, number=2,)
    import_count = proto.Field(proto.INT32, number=3,)


class ExportDataOperationResponse(proto.Message):
    r"""Response used for ExportDataset longrunning operation.

    Attributes:
        dataset (str):
            Ouptut only. The name of dataset. "projects/*/datasets/*".
        total_count (int):
            Output only. Total number of examples
            requested to export
        export_count (int):
            Output only. Number of examples exported
            successfully.
        label_stats (google.cloud.datalabeling_v1beta1.types.LabelStats):
            Output only. Statistic infos of labels in the
            exported dataset.
        output_config (google.cloud.datalabeling_v1beta1.types.OutputConfig):
            Output only. output_config in the ExportData request.
    """

    dataset = proto.Field(proto.STRING, number=1,)
    total_count = proto.Field(proto.INT32, number=2,)
    export_count = proto.Field(proto.INT32, number=3,)
    label_stats = proto.Field(proto.MESSAGE, number=4, message=gcd_dataset.LabelStats,)
    output_config = proto.Field(

# Path: google/cloud/datalabeling_v1beta1/types/dataset.py
# class DataType(proto.Enum):
# class Dataset(proto.Message):
# class InputConfig(proto.Message):
# class TextMetadata(proto.Message):
# class ClassificationMetadata(proto.Message):
# class GcsSource(proto.Message):
# class BigQuerySource(proto.Message):
# class OutputConfig(proto.Message):
# class GcsDestination(proto.Message):
# class GcsFolderDestination(proto.Message):
# class DataItem(proto.Message):
# class AnnotatedDataset(proto.Message):
# class LabelStats(proto.Message):
# class AnnotatedDatasetMetadata(proto.Message):
# class Example(proto.Message):
#     DATA_TYPE_UNSPECIFIED = 0
#     IMAGE = 1
#     VIDEO = 2
#     TEXT = 4
#     GENERAL_DATA = 6
# 
# Path: google/cloud/datalabeling_v1beta1/types/human_annotation_config.py
# class StringAggregationType(proto.Enum):
# class HumanAnnotationConfig(proto.Message):
# class ImageClassificationConfig(proto.Message):
# class BoundingPolyConfig(proto.Message):
# class PolylineConfig(proto.Message):
# class SegmentationConfig(proto.Message):
# class VideoClassificationConfig(proto.Message):
#     class AnnotationSpecSetConfig(proto.Message):
# class ObjectDetectionConfig(proto.Message):
# class ObjectTrackingConfig(proto.Message):
# class EventConfig(proto.Message):
# class TextClassificationConfig(proto.Message):
# class SentimentConfig(proto.Message):
# class TextEntityExtractionConfig(proto.Message):
#     STRING_AGGREGATION_TYPE_UNSPECIFIED = 0
#     MAJORITY_VOTE = 1
#     UNANIMOUS_VOTE = 2
#     NO_AGGREGATION = 3


# Path: google/cloud/datalabeling_v1beta1/types/operations.py
import proto  # type: ignore
from google.cloud.datalabeling_v1beta1.types import dataset as gcd_dataset
from google.cloud.datalabeling_v1beta1.types import human_annotation_config
from google.protobuf import timestamp_pb2  # type: ignore
from google.rpc import status_pb2  # type: ignore


    dataset = proto.Field(proto.STRING, number=1,)
    total_count = proto.Field(proto.INT32, number=2,)
    import_count = proto.Field(proto.INT32, number=3,)


class ExportDataOperationResponse(proto.Message):
    r"""Response used for ExportDataset longrunning operation.

    Attributes:
        dataset (str):
            Ouptut only. The name of dataset. "projects/*/datasets/*".
        total_count (int):
            Output only. Total number of examples
            requested to export
        export_count (int):
            Output only. Number of examples exported
            successfully.
        label_stats (google.cloud.datalabeling_v1beta1.types.LabelStats):
            Output only. Statistic infos of labels in the
            exported dataset.
        output_config (google.cloud.datalabeling_v1beta1.types.OutputConfig):
            Output only. output_config in the ExportData request.
    """

    dataset = proto.Field(proto.STRING, number=1,)
    total_count = proto.Field(proto.INT32, number=2,)
    export_count = proto.Field(proto.INT32, number=3,)
    label_stats = proto.Field(proto.MESSAGE, number=4, message=gcd_dataset.LabelStats,)
    output_config = proto.Field(

        proto.MESSAGE, number=5, message=gcd_dataset.OutputConfig,