<filename>automl/google/cloud/automl_v1beta1/proto/translation_pb2.py<gh_stars>1-10
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/automl_v1beta1/proto/translation.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 data_items_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2


DESCRIPTOR = _descriptor.FileDescriptor(
  name='google/cloud/automl_v1beta1/proto/translation.proto',
  package='google.cloud.automl.v1beta1',
  syntax='proto3',
  serialized_pb=_b('\n3google/cloud/automl_v1beta1/proto/translation.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x32google/cloud/automl_v1beta1/proto/data_items.proto\"X\n\x1aTranslationDatasetMetadata\x12\x1c\n\x14source_language_code\x18\x01 \x01(\t\x12\x1c\n\x14target_language_code\x18\x02 \x01(\t\"K\n\x1cTranslationEvaluationMetrics\x12\x12\n\nbleu_score\x18\x01 \x01(\x01\x12\x17\n\x0f\x62\x61se_bleu_score\x18\x02 \x01(\x01\"j\n\x18TranslationModelMetadata\x12\x12\n\nbase_model\x18\x01 \x01(\t\x12\x1c\n\x14source_language_code\x18\x02 \x01(\t\x12\x1c\n\x14target_language_code\x18\x03 \x01(\t\"]\n\x15TranslationAnnotation\x12\x44\n\x12translated_content\x18\x01 \x01(\x0b\x32(.google.cloud.automl.v1beta1.TextSnippetBx\n\x1f\x63om.google.cloud.automl.v1beta1B\x10TranslationProtoP\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_data__items__pb2.DESCRIPTOR,])




_TRANSLATIONDATASETMETADATA = _descriptor.Descriptor(
  name='TranslationDatasetMetadata',
  full_name='google.cloud.automl.v1beta1.TranslationDatasetMetadata',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='source_language_code', full_name='google.cloud.automl.v1beta1.TranslationDatasetMetadata.source_language_code', index=0,
      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='target_language_code', full_name='google.cloud.automl.v1beta1.TranslationDatasetMetadata.target_language_code', index=1,
      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),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=166,
  serialized_end=254,
)


_TRANSLATIONEVALUATIONMETRICS = _descriptor.Descriptor(
  name='TranslationEvaluationMetrics',
  full_name='google.cloud.automl.v1beta1.TranslationEvaluationMetrics',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='bleu_score', full_name='google.cloud.automl.v1beta1.TranslationEvaluationMetrics.bleu_score', index=0,
      number=1, type=1, cpp_type=5, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='base_bleu_score', full_name='google.cloud.automl.v1beta1.TranslationEvaluationMetrics.base_bleu_score', index=1,
      number=2, type=1, cpp_type=5, label=1,
      has_default_value=False, default_value=float(0),
      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=[
  ],
  serialized_start=256,
  serialized_end=331,
)


_TRANSLATIONMODELMETADATA = _descriptor.Descriptor(
  name='TranslationModelMetadata',
  full_name='google.cloud.automl.v1beta1.TranslationModelMetadata',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='base_model', full_name='google.cloud.automl.v1beta1.TranslationModelMetadata.base_model', index=0,
      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='source_language_code', full_name='google.cloud.automl.v1beta1.TranslationModelMetadata.source_language_code', index=1,
      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='target_language_code', full_name='google.cloud.automl.v1beta1.TranslationModelMetadata.target_language_code', index=2,
      number=3, 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),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=333,
  serialized_end=439,
)


_TRANSLATIONANNOTATION = _descriptor.Descriptor(
  name='TranslationAnnotation',
  full_name='google.cloud.automl.v1beta1.TranslationAnnotation',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='translated_content', full_name='google.cloud.automl.v1beta1.TranslationAnnotation.translated_content', index=0,
      number=1, 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=[
  ],
  serialized_start=441,
  serialized_end=534,
)

_TRANSLATIONANNOTATION.fields_by_name['translated_content'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2._TEXTSNIPPET
DESCRIPTOR.message_types_by_name['TranslationDatasetMetadata'] = _TRANSLATIONDATASETMETADATA
DESCRIPTOR.message_types_by_name['TranslationEvaluationMetrics'] = _TRANSLATIONEVALUATIONMETRICS
DESCRIPTOR.message_types_by_name['TranslationModelMetadata'] = _TRANSLATIONMODELMETADATA
DESCRIPTOR.message_types_by_name['TranslationAnnotation'] = _TRANSLATIONANNOTATION
_sym_db.RegisterFileDescriptor(DESCRIPTOR)

TranslationDatasetMetadata = _reflection.GeneratedProtocolMessageType('TranslationDatasetMetadata', (_message.Message,), dict(
  DESCRIPTOR = _TRANSLATIONDATASETMETADATA,
  __module__ = 'google.cloud.automl_v1beta1.proto.translation_pb2'
  ,
  __doc__ = """Dataset metadata that is specific to translation.
  
  
  Attributes:
      source_language_code:
          Required. The BCP-47 language code of the source language.
      target_language_code:
          Required. The BCP-47 language code of the target language.
  """,
  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationDatasetMetadata)
  ))
_sym_db.RegisterMessage(TranslationDatasetMetadata)

TranslationEvaluationMetrics = _reflection.GeneratedProtocolMessageType('TranslationEvaluationMetrics', (_message.Message,), dict(
  DESCRIPTOR = _TRANSLATIONEVALUATIONMETRICS,
  __module__ = 'google.cloud.automl_v1beta1.proto.translation_pb2'
  ,
  __doc__ = """Evaluation metrics for the dataset.
  
  
  Attributes:
      bleu_score:
          Output only. BLEU score.
      base_bleu_score:
          Output only. BLEU score for base model.
  """,
  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationEvaluationMetrics)
  ))
_sym_db.RegisterMessage(TranslationEvaluationMetrics)

TranslationModelMetadata = _reflection.GeneratedProtocolMessageType('TranslationModelMetadata', (_message.Message,), dict(
  DESCRIPTOR = _TRANSLATIONMODELMETADATA,
  __module__ = 'google.cloud.automl_v1beta1.proto.translation_pb2'
  ,
  __doc__ = """Model metadata that is specific to translation.
  
  
  Attributes:
      base_model:
          The resource name of the model to use as a baseline to train
          the custom model. If unset, we use the default base model
          provided by Google Translate. Format: ``projects/{project_id}/
          locations/{location_id}/models/{model_id}``
      source_language_code:
          Output only. Inferred from the dataset. The source languge
          (The BCP-47 language code) that is used for training.
      target_language_code:
          Output only. The target languge (The BCP-47 language code)
          that is used for training.
  """,
  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationModelMetadata)
  ))
_sym_db.RegisterMessage(TranslationModelMetadata)

TranslationAnnotation = _reflection.GeneratedProtocolMessageType('TranslationAnnotation', (_message.Message,), dict(
  DESCRIPTOR = _TRANSLATIONANNOTATION,
  __module__ = 'google.cloud.automl_v1beta1.proto.translation_pb2'
  ,
  __doc__ = """Annotation details specific to translation.
  
  
  Attributes:
      translated_content:
          Output only . The translated content.
  """,
  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationAnnotation)
  ))
_sym_db.RegisterMessage(TranslationAnnotation)


DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1B\020TranslationProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
# @@protoc_insertion_point(module_scope)
