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

require 'google/protobuf'

require 'google/api/resource_pb'
require 'google/cloud/automl/v1/classification_pb'
require 'google/cloud/automl/v1/detection_pb'
require 'google/cloud/automl/v1/text_extraction_pb'
require 'google/cloud/automl/v1/text_sentiment_pb'
require 'google/cloud/automl/v1/translation_pb'
require 'google/protobuf/timestamp_pb'


descriptor_data = "\n-google/cloud/automl/v1/model_evaluation.proto\x12\x16google.cloud.automl.v1\x1a\x19google/api/resource.proto\x1a+google/cloud/automl/v1/classification.proto\x1a&google/cloud/automl/v1/detection.proto\x1a,google/cloud/automl/v1/text_extraction.proto\x1a+google/cloud/automl/v1/text_sentiment.proto\x1a(google/cloud/automl/v1/translation.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xbe\x06\n\x0fModelEvaluation\x12\x64\n!classification_evaluation_metrics\x18\x08 \x01(\x0b\x32\x37.google.cloud.automl.v1.ClassificationEvaluationMetricsH\x00\x12^\n\x1etranslation_evaluation_metrics\x18\t \x01(\x0b\x32\x34.google.cloud.automl.v1.TranslationEvaluationMetricsH\x00\x12r\n)image_object_detection_evaluation_metrics\x18\x0c \x01(\x0b\x32=.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetricsH\x00\x12\x63\n!text_sentiment_evaluation_metrics\x18\x0b \x01(\x0b\x32\x36.google.cloud.automl.v1.TextSentimentEvaluationMetricsH\x00\x12\x65\n\"text_extraction_evaluation_metrics\x18\r \x01(\x0b\x32\x37.google.cloud.automl.v1.TextExtractionEvaluationMetricsH\x00\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x1a\n\x12\x61nnotation_spec_id\x18\x02 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x0f \x01(\t\x12/\n\x0b\x63reate_time\x18\x05 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x1f\n\x17\x65valuated_example_count\x18\x06 \x01(\x05:\x87\x01\xea\x41\x83\x01\n%automl.googleapis.com/ModelEvaluation\x12Zprojects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}B\t\n\x07metricsB\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.ClassificationEvaluationMetrics", "google/cloud/automl/v1/classification.proto"],
    ["google.cloud.automl.v1.TranslationEvaluationMetrics", "google/cloud/automl/v1/translation.proto"],
    ["google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics", "google/cloud/automl/v1/detection.proto"],
    ["google.cloud.automl.v1.TextSentimentEvaluationMetrics", "google/cloud/automl/v1/text_sentiment.proto"],
    ["google.cloud.automl.v1.TextExtractionEvaluationMetrics", "google/cloud/automl/v1/text_extraction.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
        ModelEvaluation = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.automl.v1.ModelEvaluation").msgclass
      end
    end
  end
end