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

require 'google/protobuf'

require 'google/api/field_behavior_pb'
require 'google/api/resource_pb'
require 'google/cloud/aiplatform/v1/custom_job_pb'
require 'google/cloud/aiplatform/v1/encryption_spec_pb'
require 'google/cloud/aiplatform/v1/job_state_pb'
require 'google/cloud/aiplatform/v1/study_pb'
require 'google/protobuf/timestamp_pb'
require 'google/rpc/status_pb'


descriptor_data = "\n:google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/resource.proto\x1a+google/cloud/aiplatform/v1/custom_job.proto\x1a\x30google/cloud/aiplatform/v1/encryption_spec.proto\x1a*google/cloud/aiplatform/v1/job_state.proto\x1a&google/cloud/aiplatform/v1/study.proto\x1a\x1fgoogle/protobuf/timestamp.proto\x1a\x17google/rpc/status.proto\"\xfb\x07\n\x17HyperparameterTuningJob\x12\x11\n\x04name\x18\x01 \x01(\tB\x03\xe0\x41\x03\x12\x19\n\x0c\x64isplay_name\x18\x02 \x01(\tB\x03\xe0\x41\x02\x12>\n\nstudy_spec\x18\x04 \x01(\x0b\x32%.google.cloud.aiplatform.v1.StudySpecB\x03\xe0\x41\x02\x12\x1c\n\x0fmax_trial_count\x18\x05 \x01(\x05\x42\x03\xe0\x41\x02\x12!\n\x14parallel_trial_count\x18\x06 \x01(\x05\x42\x03\xe0\x41\x02\x12\x1e\n\x16max_failed_trial_count\x18\x07 \x01(\x05\x12\x46\n\x0etrial_job_spec\x18\x08 \x01(\x0b\x32).google.cloud.aiplatform.v1.CustomJobSpecB\x03\xe0\x41\x02\x12\x36\n\x06trials\x18\t \x03(\x0b\x32!.google.cloud.aiplatform.v1.TrialB\x03\xe0\x41\x03\x12\x38\n\x05state\x18\n \x01(\x0e\x32$.google.cloud.aiplatform.v1.JobStateB\x03\xe0\x41\x03\x12\x34\n\x0b\x63reate_time\x18\x0b \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x33\n\nstart_time\x18\x0c \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x31\n\x08\x65nd_time\x18\r \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x34\n\x0bupdate_time\x18\x0e \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12&\n\x05\x65rror\x18\x0f \x01(\x0b\x32\x12.google.rpc.StatusB\x03\xe0\x41\x03\x12O\n\x06labels\x18\x10 \x03(\x0b\x32?.google.cloud.aiplatform.v1.HyperparameterTuningJob.LabelsEntry\x12\x43\n\x0f\x65ncryption_spec\x18\x11 \x01(\x0b\x32*.google.cloud.aiplatform.v1.EncryptionSpec\x1a-\n\x0bLabelsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01:\x95\x01\xea\x41\x91\x01\n1aiplatform.googleapis.com/HyperparameterTuningJob\x12\\projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}B\xda\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x1cHyperparameterTuningJobProtoP\x01Z>cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb\xaa\x02\x1aGoogle.Cloud.AIPlatform.V1\xca\x02\x1aGoogle\\Cloud\\AIPlatform\\V1\xea\x02\x1dGoogle::Cloud::AIPlatform::V1b\x06proto3"

pool = Google::Protobuf::DescriptorPool.generated_pool

begin
  pool.add_serialized_file(descriptor_data)
rescue TypeError => e
  # 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.aiplatform.v1.StudySpec", "google/cloud/aiplatform/v1/study.proto"],
    ["google.cloud.aiplatform.v1.CustomJobSpec", "google/cloud/aiplatform/v1/custom_job.proto"],
    ["google.protobuf.Timestamp", "google/protobuf/timestamp.proto"],
    ["google.rpc.Status", "google/rpc/status.proto"],
    ["google.cloud.aiplatform.v1.EncryptionSpec", "google/cloud/aiplatform/v1/encryption_spec.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 AIPlatform
      module V1
        HyperparameterTuningJob = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.HyperparameterTuningJob").msgclass
      end
    end
  end
end