def create_cluster(
        self,
        project_id,
        region,
        cluster,
        request_id=None,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Creates a cluster in a project.

        Example:
            >>> from google.cloud import dataproc_v1beta2
            >>>
            >>> client = dataproc_v1beta2.ClusterControllerClient()
            >>>
            >>> # TODO: Initialize `project_id`:
            >>> project_id = ''
            >>>
            >>> # TODO: Initialize `region`:
            >>> region = ''
            >>>
            >>> # TODO: Initialize `cluster`:
            >>> cluster = {}
            >>>
            >>> response = client.create_cluster(project_id, region, cluster)
            >>>
            >>> def callback(operation_future):
            ...     # Handle result.
            ...     result = operation_future.result()
            >>>
            >>> response.add_done_callback(callback)
            >>>
            >>> # Handle metadata.
            >>> metadata = response.metadata()

        Args:
            project_id (str): Required. The ID of the Google Cloud Platform project that the cluster
                belongs to.
            region (str): Required. The Cloud Dataproc region in which to handle the request.
            cluster (Union[dict, ~google.cloud.dataproc_v1beta2.types.Cluster]): Required. The cluster to create.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.dataproc_v1beta2.types.Cluster`
            request_id (str): Optional. A unique id used to identify the request. If the server
                receives two ``CreateClusterRequest`` requests with the same id, then
                the second request will be ignored and the first
                ``google.longrunning.Operation`` created and stored in the backend is
                returned.

                It is recommended to always set this value to a
                `UUID <https://en.wikipedia.org/wiki/Universally_unique_identifier>`__.

                The id must contain only letters (a-z, A-Z), numbers (0-9), underscores
                (\_), and hyphens (-). The maximum length is 40 characters.
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will not
                be retried.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.cloud.dataproc_v1beta2.types._OperationFuture` instance.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if "create_cluster" not in self._inner_api_calls:
            self._inner_api_calls[
                "create_cluster"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.create_cluster,
                default_retry=self._method_configs["CreateCluster"].retry,
                default_timeout=self._method_configs["CreateCluster"].timeout,
                client_info=self._client_info,
            )

        request = clusters_pb2.CreateClusterRequest(
            project_id=project_id, region=region, cluster=cluster, request_id=request_id
        )
        operation = self._inner_api_calls["create_cluster"](
            request, retry=retry, timeout=timeout, metadata=metadata
        )
        return google.api_core.operation.from_gapic(
            operation,
            self.transport._operations_client,
            clusters_pb2.Cluster,
            metadata_type=proto_operations_pb2.ClusterOperationMetadata,
        )
def create_cluster ( self , project_id , region , cluster , request_id = None , retry = google . api_core . gapic_v1 . method . DEFAULT , timeout = google . api_core . gapic_v1 . method . DEFAULT , metadata = None , ) : if "create_cluster" not in self . _inner_api_calls : self . _inner_api_calls [ "create_cluster" ] = google . api_core . gapic_v1 . method . wrap_method ( self . transport . create_cluster , default_retry = self . _method_configs [ "CreateCluster" ] . retry , default_timeout = self . _method_configs [ "CreateCluster" ] . timeout , client_info = self . _client_info , ) request = clusters_pb2 . CreateClusterRequest ( project_id = project_id , region = region , cluster = cluster , request_id = request_id ) operation = self . _inner_api_calls [ "create_cluster" ] ( request , retry = retry , timeout = timeout , metadata = metadata ) return google . api_core . operation . from_gapic ( operation , self . transport . _operations_client , clusters_pb2 . Cluster , metadata_type = proto_operations_pb2 . ClusterOperationMetadata , )
Creates a cluster in a project.

        Example:
            >>> from google.cloud import dataproc_v1beta2
            >>>
            >>> client = dataproc_v1beta2.ClusterControllerClient()
            >>>
            >>> # TODO: Initialize `project_id`:
            >>> project_id = ''
            >>>
            >>> # TODO: Initialize `region`:
            >>> region = ''
            >>>
            >>> # TODO: Initialize `cluster`:
            >>> cluster = {}
            >>>
            >>> response = client.create_cluster(project_id, region, cluster)
            >>>
            >>> def callback(operation_future):
            ...     # Handle result.
            ...     result = operation_future.result()
            >>>
            >>> response.add_done_callback(callback)
            >>>
            >>> # Handle metadata.
            >>> metadata = response.metadata()

        Args:
            project_id (str): Required. The ID of the Google Cloud Platform project that the cluster
                belongs to.
            region (str): Required. The Cloud Dataproc region in which to handle the request.
            cluster (Union[dict, ~google.cloud.dataproc_v1beta2.types.Cluster]): Required. The cluster to create.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.dataproc_v1beta2.types.Cluster`
            request_id (str): Optional. A unique id used to identify the request. If the server
                receives two ``CreateClusterRequest`` requests with the same id, then
                the second request will be ignored and the first
                ``google.longrunning.Operation`` created and stored in the backend is
                returned.

                It is recommended to always set this value to a
                `UUID <https://en.wikipedia.org/wiki/Universally_unique_identifier>`__.

                The id must contain only letters (a-z, A-Z), numbers (0-9), underscores
                (\_), and hyphens (-). The maximum length is 40 characters.
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will not
                be retried.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.cloud.dataproc_v1beta2.types._OperationFuture` instance.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.