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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def label_video( self, parent, basic_config, feature, video_classification_config=None, object_detection_config=None, object_tracking_config=None, event_config=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ):
 """ Starts a labeling task for video. The type of video labeling task is configured by feature in the request. Example: Args: parent (str):
 Required. Name of the dataset to request labeling task, format: projects/{project\_id}/datasets/{dataset\_id} basic_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.HumanAnnotationConfig]):
 Required. Basic human annotation config. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.datalabeling_v1beta1.types.HumanAnnotationConfig` feature (~google.cloud.datalabeling_v1beta1.types.Feature):
 Required. The type of video labeling task. video_classification_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig]):
 Configuration for video classification task. One of video\_classification\_config, object\_detection\_config, object\_tracking\_config and event\_config is required. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig` object_detection_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.ObjectDetectionConfig]):
 Configuration for video object detection task. One of video\_classification\_config, object\_detection\_config, object\_tracking\_config and event\_config is required. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.datalabeling_v1beta1.types.ObjectDetectionConfig` object_tracking_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.ObjectTrackingConfig]):
 Configuration for video object tracking task. One of video\_classification\_config, object\_detection\_config, object\_tracking\_config and event\_config is required. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.datalabeling_v1beta1.types.ObjectTrackingConfig` event_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.EventConfig]):
 Configuration for video event task. One of video\_classification\_config, object\_detection\_config, object\_tracking\_config and event\_config is required. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.datalabeling_v1beta1.types.EventConfig` 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.datalabeling_v1beta1.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 "label_video" not in self._inner_api_calls:
            self._inner_api_calls[
                "label_video"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.label_video,
                default_retry=self._method_configs["LabelVideo"].retry,
                default_timeout=self._method_configs["LabelVideo"].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(
            video_classification_config=video_classification_config,
            object_detection_config=object_detection_config,
            object_tracking_config=object_tracking_config,
            event_config=event_config,
        )

        request = data_labeling_service_pb2.LabelVideoRequest(
            parent=parent,
            basic_config=basic_config,
            feature=feature,
            video_classification_config=video_classification_config,
            object_detection_config=object_detection_config,
            object_tracking_config=object_tracking_config,
            event_config=event_config,
        )
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("parent", parent)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header
            )
            metadata.append(routing_metadata)

        operation = self._inner_api_calls["label_video"](
            request, retry=retry, timeout=timeout, metadata=metadata
        )
        return google.api_core.operation.from_gapic(
            operation,
            self.transport._operations_client,
            dataset_pb2.AnnotatedDataset,
            metadata_type=proto_operations_pb2.LabelOperationMetadata,
        )