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_v1.types import encryption_spec as gca_encryption_spec
  from google.protobuf import timestamp_pb2  # type: ignore
  
  
  __protobuf__ = proto.module(
      package="google.cloud.aiplatform.v1", manifest={"Tensorboard",},
  )
  
  
  class Tensorboard(proto.Message):
      r"""Tensorboard is a physical database that stores users'
      training metrics. A default Tensorboard is provided in each
      region of a GCP project. If needed users can also create extra
      Tensorboards in their projects.
  
      Attributes:
          name (str):
              Output only. Name of the Tensorboard. Format:
              ``projects/{project}/locations/{location}/tensorboards/{tensorboard}``
          display_name (str):
              Required. User provided name of this
              Tensorboard.
          description (str):
              Description of this Tensorboard.
          encryption_spec (google.cloud.aiplatform_v1.types.EncryptionSpec):
              Customer-managed encryption key spec for a
              Tensorboard. If set, this Tensorboard and all
              sub-resources of this Tensorboard will be
              secured by this key.
          blob_storage_path_prefix (str):
              Output only. Consumer project Cloud Storage
              path prefix used to store blob data, which can
              either be a bucket or directory. Does not end
              with a '/'.
          run_count (int):
              Output only. The number of Runs stored in
              this Tensorboard.
          create_time (google.protobuf.timestamp_pb2.Timestamp):
              Output only. Timestamp when this Tensorboard
              was created.
          update_time (google.protobuf.timestamp_pb2.Timestamp):
              Output only. Timestamp when this Tensorboard
              was last updated.
          labels (Sequence[google.cloud.aiplatform_v1.types.Tensorboard.LabelsEntry]):
              The labels with user-defined metadata to
              organize your Tensorboards.
              Label keys and values can be no longer than 64
              characters (Unicode codepoints), can only
              contain lowercase letters, numeric characters,
              underscores and dashes. International characters
              are allowed. No more than 64 user labels can be
              associated with one Tensorboard (System labels
              are excluded).
  
              See https://goo.gl/xmQnxf for more information
              and examples of labels. System reserved label
              keys are prefixed with
              "aiplatform.googleapis.com/" and are immutable.
          etag (str):
              Used to perform a consistent
              read-modify-write updates. If not set, a blind
              "overwrite" update happens.
      """
  
      name = proto.Field(proto.STRING, number=1,)
      display_name = proto.Field(proto.STRING, number=2,)
      description = proto.Field(proto.STRING, number=3,)
      encryption_spec = proto.Field(
          proto.MESSAGE, number=11, message=gca_encryption_spec.EncryptionSpec,
      )
      blob_storage_path_prefix = proto.Field(proto.STRING, number=10,)
      run_count = proto.Field(proto.INT32, number=5,)
      create_time = proto.Field(proto.MESSAGE, number=6, message=timestamp_pb2.Timestamp,)
      update_time = proto.Field(proto.MESSAGE, number=7, message=timestamp_pb2.Timestamp,)
      labels = proto.MapField(proto.STRING, proto.STRING, number=8,)
      etag = proto.Field(proto.STRING, number=9,)
  
  
  __all__ = tuple(sorted(__protobuf__.manifest))
  