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.
  #
  from collections import OrderedDict
  from distutils import util
  import os
  import re
  from typing import Dict, Optional, Sequence, Tuple, Type, Union
  import pkg_resources
  
  from google.api_core import client_options as client_options_lib  # type: ignore
  from google.api_core import exceptions as core_exceptions  # type: ignore
  from google.api_core import gapic_v1  # type: ignore
  from google.api_core import retry as retries  # type: ignore
  from google.auth import credentials as ga_credentials  # type: ignore
  from google.auth.transport import mtls  # type: ignore
  from google.auth.transport.grpc import SslCredentials  # type: ignore
  from google.auth.exceptions import MutualTLSChannelError  # type: ignore
  from google.oauth2 import service_account  # type: ignore
  
  from google.api_core import operation as gac_operation  # type: ignore
  from google.api_core import operation_async  # type: ignore
  from google.cloud.aiplatform_v1.services.specialist_pool_service import pagers
  from google.cloud.aiplatform_v1.types import operation as gca_operation
  from google.cloud.aiplatform_v1.types import specialist_pool
  from google.cloud.aiplatform_v1.types import specialist_pool as gca_specialist_pool
  from google.cloud.aiplatform_v1.types import specialist_pool_service
  from google.protobuf import empty_pb2  # type: ignore
  from google.protobuf import field_mask_pb2  # type: ignore
  from .transports.base import SpecialistPoolServiceTransport, DEFAULT_CLIENT_INFO
  from .transports.grpc import SpecialistPoolServiceGrpcTransport
  from .transports.grpc_asyncio import SpecialistPoolServiceGrpcAsyncIOTransport
  
  
  class SpecialistPoolServiceClientMeta(type):
      """Metaclass for the SpecialistPoolService client.
  
      This provides class-level methods for building and retrieving
      support objects (e.g. transport) without polluting the client instance
      objects.
      """
  
      _transport_registry = (
          OrderedDict()
      )  # type: Dict[str, Type[SpecialistPoolServiceTransport]]
      _transport_registry["grpc"] = SpecialistPoolServiceGrpcTransport
      _transport_registry["grpc_asyncio"] = SpecialistPoolServiceGrpcAsyncIOTransport
  
      def get_transport_class(
          cls, label: str = None,
      ) -> Type[SpecialistPoolServiceTransport]:
          """Returns an appropriate transport class.
  
          Args:
              label: The name of the desired transport. If none is
                  provided, then the first transport in the registry is used.
  
          Returns:
              The transport class to use.
          """
          # If a specific transport is requested, return that one.
          if label:
              return cls._transport_registry[label]
  
          # No transport is requested; return the default (that is, the first one
          # in the dictionary).
          return next(iter(cls._transport_registry.values()))
  
  
  class SpecialistPoolServiceClient(metaclass=SpecialistPoolServiceClientMeta):
      """A service for creating and managing Customer SpecialistPools.
      When customers start Data Labeling jobs, they can reuse/create
      Specialist Pools to bring their own Specialists to label the
      data. Customers can add/remove Managers for the Specialist Pool
      on Cloud console, then Managers will get email notifications to
      manage Specialists and tasks on CrowdCompute console.
      """
  
      @staticmethod
      def _get_default_mtls_endpoint(api_endpoint):
          """Converts api endpoint to mTLS endpoint.
  
          Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
          "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
          Args:
              api_endpoint (Optional[str]): the api endpoint to convert.
          Returns:
              str: converted mTLS api endpoint.
          """
          if not api_endpoint:
              return api_endpoint
  
          mtls_endpoint_re = re.compile(
              r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
          )
  
          m = mtls_endpoint_re.match(api_endpoint)
          name, mtls, sandbox, googledomain = m.groups()
          if mtls or not googledomain:
              return api_endpoint
  
          if sandbox:
              return api_endpoint.replace(
                  "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
              )
  
          return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
  
      DEFAULT_ENDPOINT = "aiplatform.googleapis.com"
      DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
          DEFAULT_ENDPOINT
      )
  
      @classmethod
      def from_service_account_info(cls, info: dict, *args, **kwargs):
          """Creates an instance of this client using the provided credentials
              info.
  
          Args:
              info (dict): The service account private key info.
              args: Additional arguments to pass to the constructor.
              kwargs: Additional arguments to pass to the constructor.
  
          Returns:
              SpecialistPoolServiceClient: The constructed client.
          """
          credentials = service_account.Credentials.from_service_account_info(info)
          kwargs["credentials"] = credentials
          return cls(*args, **kwargs)
  
      @classmethod
      def from_service_account_file(cls, filename: str, *args, **kwargs):
          """Creates an instance of this client using the provided credentials
              file.
  
          Args:
              filename (str): The path to the service account private key json
                  file.
              args: Additional arguments to pass to the constructor.
              kwargs: Additional arguments to pass to the constructor.
  
          Returns:
              SpecialistPoolServiceClient: The constructed client.
          """
          credentials = service_account.Credentials.from_service_account_file(filename)
          kwargs["credentials"] = credentials
          return cls(*args, **kwargs)
  
      from_service_account_json = from_service_account_file
  
      @property
      def transport(self) -> SpecialistPoolServiceTransport:
          """Returns the transport used by the client instance.
  
          Returns:
              SpecialistPoolServiceTransport: The transport used by the client
                  instance.
          """
          return self._transport
  
      @staticmethod
      def specialist_pool_path(project: str, location: str, specialist_pool: str,) -> str:
          """Returns a fully-qualified specialist_pool string."""
          return "projects/{project}/locations/{location}/specialistPools/{specialist_pool}".format(
              project=project, location=location, specialist_pool=specialist_pool,
          )
  
      @staticmethod
      def parse_specialist_pool_path(path: str) -> Dict[str, str]:
          """Parses a specialist_pool path into its component segments."""
          m = re.match(
              r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/specialistPools/(?P<specialist_pool>.+?)$",
              path,
          )
          return m.groupdict() if m else {}
  
      @staticmethod
      def common_billing_account_path(billing_account: str,) -> str:
          """Returns a fully-qualified billing_account string."""
          return "billingAccounts/{billing_account}".format(
              billing_account=billing_account,
          )
  
      @staticmethod
      def parse_common_billing_account_path(path: str) -> Dict[str, str]:
          """Parse a billing_account path into its component segments."""
          m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
          return m.groupdict() if m else {}
  
      @staticmethod
      def common_folder_path(folder: str,) -> str:
          """Returns a fully-qualified folder string."""
          return "folders/{folder}".format(folder=folder,)
  
      @staticmethod
      def parse_common_folder_path(path: str) -> Dict[str, str]:
          """Parse a folder path into its component segments."""
          m = re.match(r"^folders/(?P<folder>.+?)$", path)
          return m.groupdict() if m else {}
  
      @staticmethod
      def common_organization_path(organization: str,) -> str:
          """Returns a fully-qualified organization string."""
          return "organizations/{organization}".format(organization=organization,)
  
      @staticmethod
      def parse_common_organization_path(path: str) -> Dict[str, str]:
          """Parse a organization path into its component segments."""
          m = re.match(r"^organizations/(?P<organization>.+?)$", path)
          return m.groupdict() if m else {}
  
      @staticmethod
      def common_project_path(project: str,) -> str:
          """Returns a fully-qualified project string."""
          return "projects/{project}".format(project=project,)
  
      @staticmethod
      def parse_common_project_path(path: str) -> Dict[str, str]:
          """Parse a project path into its component segments."""
          m = re.match(r"^projects/(?P<project>.+?)$", path)
          return m.groupdict() if m else {}
  
      @staticmethod
      def common_location_path(project: str, location: str,) -> str:
          """Returns a fully-qualified location string."""
          return "projects/{project}/locations/{location}".format(
              project=project, location=location,
          )
  
      @staticmethod
      def parse_common_location_path(path: str) -> Dict[str, str]:
          """Parse a location path into its component segments."""
          m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
          return m.groupdict() if m else {}
  
      def __init__(
          self,
          *,
          credentials: Optional[ga_credentials.Credentials] = None,
          transport: Union[str, SpecialistPoolServiceTransport, None] = None,
          client_options: Optional[client_options_lib.ClientOptions] = None,
          client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
      ) -> None:
          """Instantiates the specialist pool service client.
  
          Args:
              credentials (Optional[google.auth.credentials.Credentials]): The
                  authorization credentials to attach to requests. These
                  credentials identify the application to the service; if none
                  are specified, the client will attempt to ascertain the
                  credentials from the environment.
              transport (Union[str, SpecialistPoolServiceTransport]): The
                  transport to use. If set to None, a transport is chosen
                  automatically.
              client_options (google.api_core.client_options.ClientOptions): Custom options for the
                  client. It won't take effect if a ``transport`` instance is provided.
                  (1) The ``api_endpoint`` property can be used to override the
                  default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
                  environment variable can also be used to override the endpoint:
                  "always" (always use the default mTLS endpoint), "never" (always
                  use the default regular endpoint) and "auto" (auto switch to the
                  default mTLS endpoint if client certificate is present, this is
                  the default value). However, the ``api_endpoint`` property takes
                  precedence if provided.
                  (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
                  is "true", then the ``client_cert_source`` property can be used
                  to provide client certificate for mutual TLS transport. If
                  not provided, the default SSL client certificate will be used if
                  present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
                  set, no client certificate will be used.
              client_info (google.api_core.gapic_v1.client_info.ClientInfo):
                  The client info used to send a user-agent string along with
                  API requests. If ``None``, then default info will be used.
                  Generally, you only need to set this if you're developing
                  your own client library.
  
          Raises:
              google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
                  creation failed for any reason.
          """
          if isinstance(client_options, dict):
              client_options = client_options_lib.from_dict(client_options)
          if client_options is None:
              client_options = client_options_lib.ClientOptions()
  
          # Create SSL credentials for mutual TLS if needed.
          use_client_cert = bool(
              util.strtobool(os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false"))
          )
  
          client_cert_source_func = None
          is_mtls = False
          if use_client_cert:
              if client_options.client_cert_source:
                  is_mtls = True
                  client_cert_source_func = client_options.client_cert_source
              else:
                  is_mtls = mtls.has_default_client_cert_source()
                  if is_mtls:
                      client_cert_source_func = mtls.default_client_cert_source()
                  else:
                      client_cert_source_func = None
  
          # Figure out which api endpoint to use.
          if client_options.api_endpoint is not None:
              api_endpoint = client_options.api_endpoint
          else:
              use_mtls_env = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
              if use_mtls_env == "never":
                  api_endpoint = self.DEFAULT_ENDPOINT
              elif use_mtls_env == "always":
                  api_endpoint = self.DEFAULT_MTLS_ENDPOINT
              elif use_mtls_env == "auto":
                  if is_mtls:
                      api_endpoint = self.DEFAULT_MTLS_ENDPOINT
                  else:
                      api_endpoint = self.DEFAULT_ENDPOINT
              else:
                  raise MutualTLSChannelError(
                      "Unsupported GOOGLE_API_USE_MTLS_ENDPOINT value. Accepted "
                      "values: never, auto, always"
                  )
  
          # Save or instantiate the transport.
          # Ordinarily, we provide the transport, but allowing a custom transport
          # instance provides an extensibility point for unusual situations.
          if isinstance(transport, SpecialistPoolServiceTransport):
              # transport is a SpecialistPoolServiceTransport instance.
              if credentials or client_options.credentials_file:
                  raise ValueError(
                      "When providing a transport instance, "
                      "provide its credentials directly."
                  )
              if client_options.scopes:
                  raise ValueError(
                      "When providing a transport instance, provide its scopes "
                      "directly."
                  )
              self._transport = transport
          else:
              Transport = type(self).get_transport_class(transport)
              self._transport = Transport(
                  credentials=credentials,
                  credentials_file=client_options.credentials_file,
                  host=api_endpoint,
                  scopes=client_options.scopes,
                  client_cert_source_for_mtls=client_cert_source_func,
                  quota_project_id=client_options.quota_project_id,
                  client_info=client_info,
                  always_use_jwt_access=True,
              )
  
      def create_specialist_pool(
          self,
          request: Union[
              specialist_pool_service.CreateSpecialistPoolRequest, dict
          ] = None,
          *,
          parent: str = None,
          specialist_pool: gca_specialist_pool.SpecialistPool = None,
          retry: retries.Retry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> gac_operation.Operation:
          r"""Creates a SpecialistPool.
  
          Args:
              request (Union[google.cloud.aiplatform_v1.types.CreateSpecialistPoolRequest, dict]):
                  The request object. Request message for
                  [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
              parent (str):
                  Required. The parent Project name for the new
                  SpecialistPool. The form is
                  ``projects/{project}/locations/{location}``.
  
                  This corresponds to the ``parent`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              specialist_pool (google.cloud.aiplatform_v1.types.SpecialistPool):
                  Required. The SpecialistPool to
                  create.
  
                  This corresponds to the ``specialist_pool`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): Designation of what errors, if any,
                  should be retried.
              timeout (float): The timeout for this request.
              metadata (Sequence[Tuple[str, str]]): Strings which should be
                  sent along with the request as metadata.
  
          Returns:
              google.api_core.operation.Operation:
                  An object representing a long-running operation.
  
                  The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.SpecialistPool` SpecialistPool represents customers' own workforce to work on their data
                     labeling jobs. It includes a group of specialist
                     managers and workers. Managers are responsible for
                     managing the workers in this pool as well as
                     customers' data labeling jobs associated with this
                     pool. Customers create specialist pool as well as
                     start data labeling jobs on Cloud, managers and
                     workers handle the jobs using CrowdCompute console.
  
          """
          # Create or coerce a protobuf request object.
          # Sanity check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([parent, specialist_pool])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          # Minor optimization to avoid making a copy if the user passes
          # in a specialist_pool_service.CreateSpecialistPoolRequest.
          # There's no risk of modifying the input as we've already verified
          # there are no flattened fields.
          if not isinstance(request, specialist_pool_service.CreateSpecialistPoolRequest):
              request = specialist_pool_service.CreateSpecialistPoolRequest(request)
              # If we have keyword arguments corresponding to fields on the
              # request, apply these.
              if parent is not None:
                  request.parent = parent
              if specialist_pool is not None:
                  request.specialist_pool = specialist_pool
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = self._transport._wrapped_methods[self._transport.create_specialist_pool]
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
          )
  
          # Send the request.
          response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
  
          # Wrap the response in an operation future.
          response = gac_operation.from_gapic(
              response,
              self._transport.operations_client,
              gca_specialist_pool.SpecialistPool,
              metadata_type=specialist_pool_service.CreateSpecialistPoolOperationMetadata,
          )
  
          # Done; return the response.
          return response
  
      def get_specialist_pool(
          self,
          request: Union[specialist_pool_service.GetSpecialistPoolRequest, dict] = None,
          *,
          name: str = None,
          retry: retries.Retry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> specialist_pool.SpecialistPool:
          r"""Gets a SpecialistPool.
  
          Args:
              request (Union[google.cloud.aiplatform_v1.types.GetSpecialistPoolRequest, dict]):
                  The request object. Request message for
                  [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
              name (str):
                  Required. The name of the SpecialistPool resource. The
                  form is
                  ``projects/{project}/locations/{location}/specialistPools/{specialist_pool}``.
  
                  This corresponds to the ``name`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): Designation of what errors, if any,
                  should be retried.
              timeout (float): The timeout for this request.
              metadata (Sequence[Tuple[str, str]]): Strings which should be
                  sent along with the request as metadata.
  
          Returns:
              google.cloud.aiplatform_v1.types.SpecialistPool:
                  SpecialistPool represents customers'
                  own workforce to work on their data
                  labeling jobs. It includes a group of
                  specialist managers and workers.
                  Managers are responsible for managing
                  the workers in this pool as well as
                  customers' data labeling jobs associated
                  with this pool. Customers create
                  specialist pool as well as start data
                  labeling jobs on Cloud, managers and
                  workers handle the jobs using
                  CrowdCompute console.
  
          """
          # Create or coerce a protobuf request object.
          # Sanity check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([name])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          # Minor optimization to avoid making a copy if the user passes
          # in a specialist_pool_service.GetSpecialistPoolRequest.
          # There's no risk of modifying the input as we've already verified
          # there are no flattened fields.
          if not isinstance(request, specialist_pool_service.GetSpecialistPoolRequest):
              request = specialist_pool_service.GetSpecialistPoolRequest(request)
              # If we have keyword arguments corresponding to fields on the
              # request, apply these.
              if name is not None:
                  request.name = name
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = self._transport._wrapped_methods[self._transport.get_specialist_pool]
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
          )
  
          # Send the request.
          response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
  
          # Done; return the response.
          return response
  
      def list_specialist_pools(
          self,
          request: Union[specialist_pool_service.ListSpecialistPoolsRequest, dict] = None,
          *,
          parent: str = None,
          retry: retries.Retry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> pagers.ListSpecialistPoolsPager:
          r"""Lists SpecialistPools in a Location.
  
          Args:
              request (Union[google.cloud.aiplatform_v1.types.ListSpecialistPoolsRequest, dict]):
                  The request object. Request message for
                  [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
              parent (str):
                  Required. The name of the SpecialistPool's parent
                  resource. Format:
                  ``projects/{project}/locations/{location}``
  
                  This corresponds to the ``parent`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): Designation of what errors, if any,
                  should be retried.
              timeout (float): The timeout for this request.
              metadata (Sequence[Tuple[str, str]]): Strings which should be
                  sent along with the request as metadata.
  
          Returns:
              google.cloud.aiplatform_v1.services.specialist_pool_service.pagers.ListSpecialistPoolsPager:
                  Response message for
                  [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
  
                  Iterating over this object will yield results and
                  resolve additional pages automatically.
  
          """
          # Create or coerce a protobuf request object.
          # Sanity check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([parent])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          # Minor optimization to avoid making a copy if the user passes
          # in a specialist_pool_service.ListSpecialistPoolsRequest.
          # There's no risk of modifying the input as we've already verified
          # there are no flattened fields.
          if not isinstance(request, specialist_pool_service.ListSpecialistPoolsRequest):
              request = specialist_pool_service.ListSpecialistPoolsRequest(request)
              # If we have keyword arguments corresponding to fields on the
              # request, apply these.
              if parent is not None:
                  request.parent = parent
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = self._transport._wrapped_methods[self._transport.list_specialist_pools]
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
          )
  
          # Send the request.
          response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
  
          # This method is paged; wrap the response in a pager, which provides
          # an `__iter__` convenience method.
          response = pagers.ListSpecialistPoolsPager(
              method=rpc, request=request, response=response, metadata=metadata,
          )
  
          # Done; return the response.
          return response
  
      def delete_specialist_pool(
          self,
          request: Union[
              specialist_pool_service.DeleteSpecialistPoolRequest, dict
          ] = None,
          *,
          name: str = None,
          retry: retries.Retry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> gac_operation.Operation:
          r"""Deletes a SpecialistPool as well as all Specialists
          in the pool.
  
          Args:
              request (Union[google.cloud.aiplatform_v1.types.DeleteSpecialistPoolRequest, dict]):
                  The request object. Request message for
                  [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
              name (str):
                  Required. The resource name of the SpecialistPool to
                  delete. Format:
                  ``projects/{project}/locations/{location}/specialistPools/{specialist_pool}``
  
                  This corresponds to the ``name`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): Designation of what errors, if any,
                  should be retried.
              timeout (float): The timeout for this request.
              metadata (Sequence[Tuple[str, str]]): Strings which should be
                  sent along with the request as metadata.
  
          Returns:
              google.api_core.operation.Operation:
                  An object representing a long-running operation.
  
                  The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
                     empty messages in your APIs. A typical example is to
                     use it as the request or the response type of an API
                     method. For instance:
  
                        service Foo {
                           rpc Bar(google.protobuf.Empty) returns
                           (google.protobuf.Empty);
  
                        }
  
                     The JSON representation for Empty is empty JSON
                     object {}.
  
          """
          # Create or coerce a protobuf request object.
          # Sanity check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([name])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          # Minor optimization to avoid making a copy if the user passes
          # in a specialist_pool_service.DeleteSpecialistPoolRequest.
          # There's no risk of modifying the input as we've already verified
          # there are no flattened fields.
          if not isinstance(request, specialist_pool_service.DeleteSpecialistPoolRequest):
              request = specialist_pool_service.DeleteSpecialistPoolRequest(request)
              # If we have keyword arguments corresponding to fields on the
              # request, apply these.
              if name is not None:
                  request.name = name
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = self._transport._wrapped_methods[self._transport.delete_specialist_pool]
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
          )
  
          # Send the request.
          response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
  
          # Wrap the response in an operation future.
          response = gac_operation.from_gapic(
              response,
              self._transport.operations_client,
              empty_pb2.Empty,
              metadata_type=gca_operation.DeleteOperationMetadata,
          )
  
          # Done; return the response.
          return response
  
      def update_specialist_pool(
          self,
          request: Union[
              specialist_pool_service.UpdateSpecialistPoolRequest, dict
          ] = None,
          *,
          specialist_pool: gca_specialist_pool.SpecialistPool = None,
          update_mask: field_mask_pb2.FieldMask = None,
          retry: retries.Retry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> gac_operation.Operation:
          r"""Updates a SpecialistPool.
  
          Args:
              request (Union[google.cloud.aiplatform_v1.types.UpdateSpecialistPoolRequest, dict]):
                  The request object. Request message for
                  [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
              specialist_pool (google.cloud.aiplatform_v1.types.SpecialistPool):
                  Required. The SpecialistPool which
                  replaces the resource on the server.
  
                  This corresponds to the ``specialist_pool`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              update_mask (google.protobuf.field_mask_pb2.FieldMask):
                  Required. The update mask applies to
                  the resource.
  
                  This corresponds to the ``update_mask`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): Designation of what errors, if any,
                  should be retried.
              timeout (float): The timeout for this request.
              metadata (Sequence[Tuple[str, str]]): Strings which should be
                  sent along with the request as metadata.
  
          Returns:
              google.api_core.operation.Operation:
                  An object representing a long-running operation.
  
                  The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.SpecialistPool` SpecialistPool represents customers' own workforce to work on their data
                     labeling jobs. It includes a group of specialist
                     managers and workers. Managers are responsible for
                     managing the workers in this pool as well as
                     customers' data labeling jobs associated with this
                     pool. Customers create specialist pool as well as
                     start data labeling jobs on Cloud, managers and
                     workers handle the jobs using CrowdCompute console.
  
          """
          # Create or coerce a protobuf request object.
          # Sanity check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([specialist_pool, update_mask])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          # Minor optimization to avoid making a copy if the user passes
          # in a specialist_pool_service.UpdateSpecialistPoolRequest.
          # There's no risk of modifying the input as we've already verified
          # there are no flattened fields.
          if not isinstance(request, specialist_pool_service.UpdateSpecialistPoolRequest):
              request = specialist_pool_service.UpdateSpecialistPoolRequest(request)
              # If we have keyword arguments corresponding to fields on the
              # request, apply these.
              if specialist_pool is not None:
                  request.specialist_pool = specialist_pool
              if update_mask is not None:
                  request.update_mask = update_mask
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = self._transport._wrapped_methods[self._transport.update_specialist_pool]
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata(
                  (("specialist_pool.name", request.specialist_pool.name),)
              ),
          )
  
          # Send the request.
          response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
  
          # Wrap the response in an operation future.
          response = gac_operation.from_gapic(
              response,
              self._transport.operations_client,
              gca_specialist_pool.SpecialistPool,
              metadata_type=specialist_pool_service.UpdateSpecialistPoolOperationMetadata,
          )
  
          # Done; return the response.
          return response
  
      def __enter__(self):
          return self
  
      def __exit__(self, type, value, traceback):
          """Releases underlying transport's resources.
  
          .. warning::
              ONLY use as a context manager if the transport is NOT shared
              with other clients! Exiting the with block will CLOSE the transport
              and may cause errors in other clients!
          """
          self.transport.close()
  
  
  try:
      DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
          gapic_version=pkg_resources.get_distribution(
              "google-cloud-aiplatform",
          ).version,
      )
  except pkg_resources.DistributionNotFound:
      DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo()
  
  
  __all__ = ("SpecialistPoolServiceClient",)
  