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

require 'google/protobuf'

require 'google/api/field_behavior_pb'
require 'google/api/resource_pb'
require 'google/protobuf/timestamp_pb'


descriptor_data = "\n8google/cloud/aiplatform/v1/tensorboard_time_series.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/resource.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xbf\x06\n\x15TensorboardTimeSeries\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\x13\n\x0b\x64\x65scription\x18\x03 \x01(\t\x12W\n\nvalue_type\x18\x04 \x01(\x0e\x32;.google.cloud.aiplatform.v1.TensorboardTimeSeries.ValueTypeB\x06\xe0\x41\x02\xe0\x41\x05\x12\x34\n\x0b\x63reate_time\x18\x05 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x34\n\x0bupdate_time\x18\x06 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x0c\n\x04\x65tag\x18\x07 \x01(\t\x12\x18\n\x0bplugin_name\x18\x08 \x01(\tB\x03\xe0\x41\x05\x12\x13\n\x0bplugin_data\x18\t \x01(\x0c\x12Q\n\x08metadata\x18\n \x01(\x0b\x32:.google.cloud.aiplatform.v1.TensorboardTimeSeries.MetadataB\x03\xe0\x41\x03\x1a\x80\x01\n\x08Metadata\x12\x15\n\x08max_step\x18\x01 \x01(\x03\x42\x03\xe0\x41\x03\x12\x36\n\rmax_wall_time\x18\x02 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12%\n\x18max_blob_sequence_length\x18\x03 \x01(\x03\x42\x03\xe0\x41\x03\"R\n\tValueType\x12\x1a\n\x16VALUE_TYPE_UNSPECIFIED\x10\x00\x12\n\n\x06SCALAR\x10\x01\x12\n\n\x06TENSOR\x10\x02\x12\x11\n\rBLOB_SEQUENCE\x10\x03:\xb6\x01\xea\x41\xb2\x01\n/aiplatform.googleapis.com/TensorboardTimeSeries\x12\x7fprojects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}B\xd8\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x1aTensorboardTimeSeriesProtoP\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.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 AIPlatform
      module V1
        TensorboardTimeSeries = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.TensorboardTimeSeries").msgclass
        TensorboardTimeSeries::Metadata = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.TensorboardTimeSeries.Metadata").msgclass
        TensorboardTimeSeries::ValueType = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.TensorboardTimeSeries.ValueType").enummodule
      end
    end
  end
end