text: # -*- coding: utf-8 -*-
  # Copyright 2020 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  import proto  # type: ignore
  
  from google.cloud.aiplatform_v1beta1.types import tensorboard_time_series
  from google.protobuf import timestamp_pb2  # type: ignore
  
  
  __protobuf__ = proto.module(
      package='google.cloud.aiplatform.v1beta1',
      manifest={
          'TimeSeriesData',
          'TimeSeriesDataPoint',
          'Scalar',
          'TensorboardTensor',
          'TensorboardBlobSequence',
          'TensorboardBlob',
      },
  )
  
  
  class TimeSeriesData(proto.Message):
      r"""All the data stored in a TensorboardTimeSeries.
  
      Attributes:
          tensorboard_time_series_id (str):
              Required. The ID of the
              TensorboardTimeSeries, which will become the
              final component of the TensorboardTimeSeries'
              resource name
          value_type (google.cloud.aiplatform_v1beta1.types.TensorboardTimeSeries.ValueType):
              Required. Immutable. The value type of this
              time series. All the values in this time series
              data must match this value type.
          values (Sequence[google.cloud.aiplatform_v1beta1.types.TimeSeriesDataPoint]):
              Required. Data points in this time series.
      """
  
      tensorboard_time_series_id = proto.Field(
          proto.STRING,
          number=1,
      )
      value_type = proto.Field(
          proto.ENUM,
          number=2,
          enum=tensorboard_time_series.TensorboardTimeSeries.ValueType,
      )
      values = proto.RepeatedField(
          proto.MESSAGE,
          number=3,
          message='TimeSeriesDataPoint',
      )
  
  
  class TimeSeriesDataPoint(proto.Message):
      r"""A TensorboardTimeSeries data point.
  
      Attributes:
          scalar (google.cloud.aiplatform_v1beta1.types.Scalar):
              A scalar value.
          tensor (google.cloud.aiplatform_v1beta1.types.TensorboardTensor):
              A tensor value.
          blobs (google.cloud.aiplatform_v1beta1.types.TensorboardBlobSequence):
              A blob sequence value.
          wall_time (google.protobuf.timestamp_pb2.Timestamp):
              Wall clock timestamp when this data point is
              generated by the end user.
          step (int):
              Step index of this data point within the run.
      """
  
      scalar = proto.Field(
          proto.MESSAGE,
          number=3,
          oneof='value',
          message='Scalar',
      )
      tensor = proto.Field(
          proto.MESSAGE,
          number=4,
          oneof='value',
          message='TensorboardTensor',
      )
      blobs = proto.Field(
          proto.MESSAGE,
          number=5,
          oneof='value',
          message='TensorboardBlobSequence',
      )
      wall_time = proto.Field(
          proto.MESSAGE,
          number=1,
          message=timestamp_pb2.Timestamp,
      )
      step = proto.Field(
          proto.INT64,
          number=2,
      )
  
  
  class Scalar(proto.Message):
      r"""One point viewable on a scalar metric plot.
  
      Attributes:
          value (float):
              Value of the point at this step / timestamp.
      """
  
      value = proto.Field(
          proto.DOUBLE,
          number=1,
      )
  
  
  class TensorboardTensor(proto.Message):
      r"""One point viewable on a tensor metric plot.
  
      Attributes:
          value (bytes):
              Required. Serialized form of
              https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/tensor.proto
          version_number (int):
              Optional. Version number of TensorProto used to serialize
              [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
      """
  
      value = proto.Field(
          proto.BYTES,
          number=1,
      )
      version_number = proto.Field(
          proto.INT32,
          number=2,
      )
  
  
  class TensorboardBlobSequence(proto.Message):
      r"""One point viewable on a blob metric plot, but mostly just a wrapper
      message to work around repeated fields can't be used directly within
      ``oneof`` fields.
  
      Attributes:
          values (Sequence[google.cloud.aiplatform_v1beta1.types.TensorboardBlob]):
              List of blobs contained within the sequence.
      """
  
      values = proto.RepeatedField(
          proto.MESSAGE,
          number=1,
          message='TensorboardBlob',
      )
  
  
  class TensorboardBlob(proto.Message):
      r"""One blob (e.g, image, graph) viewable on a blob metric plot.
  
      Attributes:
          id (str):
              Output only. A URI safe key uniquely
              identifying a blob. Can be used to locate the
              blob stored in the Cloud Storage bucket of the
              consumer project.
          data (bytes):
              Optional. The bytes of the blob is not
              present unless it's returned by the
              ReadTensorboardBlobData endpoint.
      """
  
      id = proto.Field(
          proto.STRING,
          number=1,
      )
      data = proto.Field(
          proto.BYTES,
          number=2,
      )
  
  
  __all__ = tuple(sorted(__protobuf__.manifest))
  