Updates/Creates multiple intents in the specified agent.

        Operation <response: ``BatchUpdateIntentsResponse``>

        Example:
            >>> import dialogflow_v2
            >>>
            >>> client = dialogflow_v2.IntentsClient()
            >>>
            >>> parent = client.project_agent_path('[PROJECT]')
            >>>
            >>> # TODO: Initialize ``language_code``:
            >>> language_code = ''
            >>>
            >>> response = client.batch_update_intents(parent, language_code)
            >>>
            >>> def callback(operation_future):
            ...     # Handle result.
            ...     result = operation_future.result()
            >>>
            >>> response.add_done_callback(callback)
            >>>
            >>> # Handle metadata.
            >>> metadata = response.metadata()

        Args:
            parent (str): Required. The name of the agent to update or create intents in.
                Format: ``projects/<Project ID>/agent``.
            language_code (str): Optional. The language of training phrases, parameters and rich messages
                defined in ``intents``. If not specified, the agent's default language is
                used. [More than a dozen
                languages](https://dialogflow.com/docs/reference/language) are supported.
                Note: languages must be enabled in the agent, before they can be used.
            intent_batch_uri (str): The URI to a Google Cloud Storage file containing intents to update or
                create. The file format can either be a serialized proto (of IntentBatch
                type) or JSON object. Note: The URI must start with \"gs://\".
            intent_batch_inline (Union[dict, ~google.cloud.dialogflow_v2.types.IntentBatch]): The collection of intents to update or create.
                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.dialogflow_v2.types.IntentBatch`
            update_mask (Union[dict, ~google.cloud.dialogflow_v2.types.FieldMask]): Optional. The mask to control which fields get updated.
                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.dialogflow_v2.types.FieldMask`
            intent_view (~google.cloud.dialogflow_v2.types.IntentView): Optional. The resource view to apply to the returned intent.
            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.dialogflow_v2.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.

def batch_update_intents(self,
                             parent,
                             language_code,
                             intent_batch_uri=None,
                             intent_batch_inline=None,
                             update_mask=None,
                             intent_view=None,
                             retry=google.api_core.gapic_v1.method.DEFAULT,
                             timeout=google.api_core.gapic_v1.method.DEFAULT,
                             metadata=None):
        """
        Updates/Creates multiple intents in the specified agent.

        Operation <response: ``BatchUpdateIntentsResponse``>

        Example:
            >>> import dialogflow_v2
            >>>
            >>> client = dialogflow_v2.IntentsClient()
            >>>
            >>> parent = client.project_agent_path('[PROJECT]')
            >>>
            >>> # TODO: Initialize ``language_code``:
            >>> language_code = ''
            >>>
            >>> response = client.batch_update_intents(parent, language_code)
            >>>
            >>> def callback(operation_future):
            ...     # Handle result.
            ...     result = operation_future.result()
            >>>
            >>> response.add_done_callback(callback)
            >>>
            >>> # Handle metadata.
            >>> metadata = response.metadata()

        Args:
            parent (str): Required. The name of the agent to update or create intents in.
                Format: ``projects/<Project ID>/agent``.
            language_code (str): Optional. The language of training phrases, parameters and rich messages
                defined in ``intents``. If not specified, the agent's default language is
                used. [More than a dozen
                languages](https://dialogflow.com/docs/reference/language) are supported.
                Note: languages must be enabled in the agent, before they can be used.
            intent_batch_uri (str): The URI to a Google Cloud Storage file containing intents to update or
                create. The file format can either be a serialized proto (of IntentBatch
                type) or JSON object. Note: The URI must start with \"gs://\".
            intent_batch_inline (Union[dict, ~google.cloud.dialogflow_v2.types.IntentBatch]): The collection of intents to update or create.
                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.dialogflow_v2.types.IntentBatch`
            update_mask (Union[dict, ~google.cloud.dialogflow_v2.types.FieldMask]): Optional. The mask to control which fields get updated.
                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.dialogflow_v2.types.FieldMask`
            intent_view (~google.cloud.dialogflow_v2.types.IntentView): Optional. The resource view to apply to the returned intent.
            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.dialogflow_v2.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 'batch_update_intents' not in self._inner_api_calls:
            self._inner_api_calls[
                'batch_update_intents'] = google.api_core.gapic_v1.method.wrap_method(
                    self.transport.batch_update_intents,
                    default_retry=self._method_configs[
                        'BatchUpdateIntents'].retry,
                    default_timeout=self._method_configs['BatchUpdateIntents']
                    .timeout,
                    client_info=self._client_info,
                )

        # Sanity check: We have some fields which are mutually exclusive;
        # raise ValueError if more than one is sent.
        google.api_core.protobuf_helpers.check_oneof(
            intent_batch_uri=intent_batch_uri,
            intent_batch_inline=intent_batch_inline,
        )

        request = intent_pb2.BatchUpdateIntentsRequest(
            parent=parent,
            language_code=language_code,
            intent_batch_uri=intent_batch_uri,
            intent_batch_inline=intent_batch_inline,
            update_mask=update_mask,
            intent_view=intent_view,
        )
        operation = self._inner_api_calls['batch_update_intents'](
            request, retry=retry, timeout=timeout, metadata=metadata)
        return google.api_core.operation.from_gapic(
            operation,
            self.transport._operations_client,
            intent_pb2.BatchUpdateIntentsResponse,
            metadata_type=struct_pb2.Struct,
        )