# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/automl_v1beta1/proto/dataset.proto

import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)

_sym_db = _symbol_database.Default()


from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
from google.cloud.automl_v1beta1.proto import annotation_payload_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2
from google.cloud.automl_v1beta1.proto import data_items_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2
from google.cloud.automl_v1beta1.proto import image_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2
from google.cloud.automl_v1beta1.proto import text_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2
from google.cloud.automl_v1beta1.proto import translation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2
from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2


DESCRIPTOR = _descriptor.FileDescriptor(
  name='google/cloud/automl_v1beta1/proto/dataset.proto',
  package='google.cloud.automl.v1beta1',
  syntax='proto3',
  serialized_pb=_b('\n/google/cloud/automl_v1beta1/proto/dataset.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a:google/cloud/automl_v1beta1/proto/annotation_payload.proto\x1a\x32google/cloud/automl_v1beta1/proto/data_items.proto\x1a-google/cloud/automl_v1beta1/proto/image.proto\x1a,google/cloud/automl_v1beta1/proto/text.proto\x1a\x33google/cloud/automl_v1beta1/proto/translation.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xcc\x03\n\x07\x44\x61taset\x12_\n\x1ctranslation_dataset_metadata\x18\x17 \x01(\x0b\x32\x37.google.cloud.automl.v1beta1.TranslationDatasetMetadataH\x00\x12p\n%image_classification_dataset_metadata\x18\x18 \x01(\x0b\x32?.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadataH\x00\x12n\n$text_classification_dataset_metadata\x18\x19 \x01(\x0b\x32>.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataH\x00\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x02 \x01(\t\x12\x15\n\rexample_count\x18\x15 \x01(\x05\x12/\n\x0b\x63reate_time\x18\x0e \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x12\n\x10\x64\x61taset_metadataBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
  ,
  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2.DESCRIPTOR,google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,])




_DATASET = _descriptor.Descriptor(
  name='Dataset',
  full_name='google.cloud.automl.v1beta1.Dataset',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='translation_dataset_metadata', full_name='google.cloud.automl.v1beta1.Dataset.translation_dataset_metadata', index=0,
      number=23, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='image_classification_dataset_metadata', full_name='google.cloud.automl.v1beta1.Dataset.image_classification_dataset_metadata', index=1,
      number=24, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='text_classification_dataset_metadata', full_name='google.cloud.automl.v1beta1.Dataset.text_classification_dataset_metadata', index=2,
      number=25, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='name', full_name='google.cloud.automl.v1beta1.Dataset.name', index=3,
      number=1, type=9, cpp_type=9, label=1,
      has_default_value=False, default_value=_b("").decode('utf-8'),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='display_name', full_name='google.cloud.automl.v1beta1.Dataset.display_name', index=4,
      number=2, type=9, cpp_type=9, label=1,
      has_default_value=False, default_value=_b("").decode('utf-8'),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='example_count', full_name='google.cloud.automl.v1beta1.Dataset.example_count', index=5,
      number=21, type=5, cpp_type=1, label=1,
      has_default_value=False, default_value=0,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='create_time', full_name='google.cloud.automl.v1beta1.Dataset.create_time', index=6,
      number=14, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None, file=DESCRIPTOR),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
    _descriptor.OneofDescriptor(
      name='dataset_metadata', full_name='google.cloud.automl.v1beta1.Dataset.dataset_metadata',
      index=0, containing_type=None, fields=[]),
  ],
  serialized_start=402,
  serialized_end=862,
)

_DATASET.fields_by_name['translation_dataset_metadata'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2._TRANSLATIONDATASETMETADATA
_DATASET.fields_by_name['image_classification_dataset_metadata'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2._IMAGECLASSIFICATIONDATASETMETADATA
_DATASET.fields_by_name['text_classification_dataset_metadata'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2._TEXTCLASSIFICATIONDATASETMETADATA
_DATASET.fields_by_name['create_time'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
_DATASET.oneofs_by_name['dataset_metadata'].fields.append(
  _DATASET.fields_by_name['translation_dataset_metadata'])
_DATASET.fields_by_name['translation_dataset_metadata'].containing_oneof = _DATASET.oneofs_by_name['dataset_metadata']
_DATASET.oneofs_by_name['dataset_metadata'].fields.append(
  _DATASET.fields_by_name['image_classification_dataset_metadata'])
_DATASET.fields_by_name['image_classification_dataset_metadata'].containing_oneof = _DATASET.oneofs_by_name['dataset_metadata']
_DATASET.oneofs_by_name['dataset_metadata'].fields.append(
  _DATASET.fields_by_name['text_classification_dataset_metadata'])
_DATASET.fields_by_name['text_classification_dataset_metadata'].containing_oneof = _DATASET.oneofs_by_name['dataset_metadata']
DESCRIPTOR.message_types_by_name['Dataset'] = _DATASET
_sym_db.RegisterFileDescriptor(DESCRIPTOR)

Dataset = _reflection.GeneratedProtocolMessageType('Dataset', (_message.Message,), dict(
  DESCRIPTOR = _DATASET,
  __module__ = 'google.cloud.automl_v1beta1.proto.dataset_pb2'
  ,
  __doc__ = """A workspace for solving a single, particular machine learning (ML)
  problem. A workspace contains examples that may be annotated.
  
  
  Attributes:
      dataset_metadata:
          Required. The dataset metadata that is specific to the problem
          type.
      translation_dataset_metadata:
          Metadata for a dataset used for translation.
      image_classification_dataset_metadata:
          Metadata for a dataset used for image classification.
      text_classification_dataset_metadata:
          Metadata for a dataset used for text classification.
      name:
          Output only. The resource name of the dataset. Form: ``project
          s/{project_id}/locations/{location_id}/datasets/{dataset_id}``
      display_name:
          Required. The name of the dataset to show in the interface.
          The name can be up to 32 characters long and can consist only
          of ASCII Latin letters A-Z and a-z, underscores (\_), and
          ASCII digits 0-9.
      example_count:
          Output only. The number of examples in the dataset.
      create_time:
          Output only. Timestamp when this dataset was created.
  """,
  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Dataset)
  ))
_sym_db.RegisterMessage(Dataset)


DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
# @@protoc_insertion_point(module_scope)
