# frozen_string_literal: true
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/automl/v1/dataset.proto

require 'google/protobuf'

require 'google/api/resource_pb'
require 'google/cloud/automl/v1/image_pb'
require 'google/cloud/automl/v1/text_pb'
require 'google/cloud/automl/v1/translation_pb'
require 'google/protobuf/timestamp_pb'


descriptor_data = "\n$google/cloud/automl/v1/dataset.proto\x12\x16google.cloud.automl.v1\x1a\x19google/api/resource.proto\x1a\"google/cloud/automl/v1/image.proto\x1a!google/cloud/automl/v1/text.proto\x1a(google/cloud/automl/v1/translation.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xe0\x07\n\x07\x44\x61taset\x12Z\n\x1ctranslation_dataset_metadata\x18\x17 \x01(\x0b\x32\x32.google.cloud.automl.v1.TranslationDatasetMetadataH\x00\x12k\n%image_classification_dataset_metadata\x18\x18 \x01(\x0b\x32:.google.cloud.automl.v1.ImageClassificationDatasetMetadataH\x00\x12i\n$text_classification_dataset_metadata\x18\x19 \x01(\x0b\x32\x39.google.cloud.automl.v1.TextClassificationDatasetMetadataH\x00\x12n\n\'image_object_detection_dataset_metadata\x18\x1a \x01(\x0b\x32;.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadataH\x00\x12\x61\n text_extraction_dataset_metadata\x18\x1c \x01(\x0b\x32\x35.google.cloud.automl.v1.TextExtractionDatasetMetadataH\x00\x12_\n\x1ftext_sentiment_dataset_metadata\x18\x1e \x01(\x0b\x32\x34.google.cloud.automl.v1.TextSentimentDatasetMetadataH\x00\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x02 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x03 \x01(\t\x12\x15\n\rexample_count\x18\x15 \x01(\x05\x12/\n\x0b\x63reate_time\x18\x0e \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x0c\n\x04\x65tag\x18\x11 \x01(\t\x12;\n\x06labels\x18\' \x03(\x0b\x32+.google.cloud.automl.v1.Dataset.LabelsEntry\x1a-\n\x0bLabelsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01:^\xea\x41[\n\x1d\x61utoml.googleapis.com/Dataset\x12:projects/{project}/locations/{location}/datasets/{dataset}B\x12\n\x10\x64\x61taset_metadataB\xa0\x01\n\x1a\x63om.google.cloud.automl.v1P\x01Z2cloud.google.com/go/automl/apiv1/automlpb;automlpb\xaa\x02\x16Google.Cloud.AutoML.V1\xca\x02\x16Google\\Cloud\\AutoMl\\V1\xea\x02\x19Google::Cloud::AutoML::V1b\x06proto3"

pool = Google::Protobuf::DescriptorPool.generated_pool

begin
  pool.add_serialized_file(descriptor_data)
rescue TypeError
  # Compatibility code: will be removed in the next major version.
  require 'google/protobuf/descriptor_pb'
  parsed = Google::Protobuf::FileDescriptorProto.decode(descriptor_data)
  parsed.clear_dependency
  serialized = parsed.class.encode(parsed)
  file = pool.add_serialized_file(serialized)
  warn "Warning: Protobuf detected an import path issue while loading generated file #{__FILE__}"
  imports = [
    ["google.cloud.automl.v1.TranslationDatasetMetadata", "google/cloud/automl/v1/translation.proto"],
    ["google.cloud.automl.v1.ImageClassificationDatasetMetadata", "google/cloud/automl/v1/image.proto"],
    ["google.cloud.automl.v1.TextClassificationDatasetMetadata", "google/cloud/automl/v1/text.proto"],
    ["google.protobuf.Timestamp", "google/protobuf/timestamp.proto"],
  ]
  imports.each do |type_name, expected_filename|
    import_file = pool.lookup(type_name).file_descriptor
    if import_file.name != expected_filename
      warn "- #{file.name} imports #{expected_filename}, but that import was loaded as #{import_file.name}"
    end
  end
  warn "Each proto file must use a consistent fully-qualified name."
  warn "This will become an error in the next major version."
end

module Google
  module Cloud
    module AutoML
      module V1
        Dataset = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.automl.v1.Dataset").msgclass
      end
    end
  end
end