# 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
# -*- coding: utf-8 -*-
# Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#



__protobuf__ = proto.module(
    package="google.cloud.datalabeling.v1beta1",
    manifest={
        "ImportDataOperationResponse",
        "ExportDataOperationResponse",
        "ImportDataOperationMetadata",
        "ExportDataOperationMetadata",

# 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

# -*- coding: utf-8 -*-
# Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#



__protobuf__ = proto.module(
    package="google.cloud.datalabeling.v1beta1",
    manifest={
        "ImportDataOperationResponse",
        "ExportDataOperationResponse",
        "ImportDataOperationMetadata",
        "ExportDataOperationMetadata",

        "LabelOperationMetadata",