code: def _register_execution(
      metadata_handle: metadata.Metadata,
      execution_type: metadata_store_pb2.ExecutionType,
      contexts: List[metadata_store_pb2.Context],
      input_artifacts: Optional[typing_utils.ArtifactMultiMap] = None,
      exec_properties: Optional[Mapping[str, types.Property]] = None,
  ) -> metadata_store_pb2.Execution:
      """Registers an execution in MLMD."""
      return execution_publish_utils.register_execution(
          metadata_handle=metadata_handle,
          execution_type=execution_type,
          contexts=contexts,
          input_artifacts=input_artifacts,
          exec_properties=exec_properties,
      )
  
imports: import sys
  from typing import Any, Dict, List, Mapping, Optional, Type, TypeVar
  from absl import logging
  import attr
  import grpc
  import portpicker
  from tfx import types
  from tfx.dsl.compiler import placeholder_utils
  from tfx.dsl.io import fileio
  from tfx.orchestration import data_types_utils
  from tfx.orchestration import metadata
  from tfx.orchestration.portable import base_driver_operator
  from tfx.orchestration.portable import base_executor_operator
  from tfx.orchestration.portable import beam_executor_operator
  from tfx.orchestration.portable import cache_utils
  from tfx.orchestration.portable import data_types
  from tfx.orchestration.portable import docker_executor_operator
  from tfx.orchestration.portable import execution_publish_utils
  from tfx.orchestration.portable import execution_watcher
  from tfx.orchestration.portable import importer_node_handler
  from tfx.orchestration.portable import inputs_utils
  from tfx.orchestration.portable import outputs_utils
  from tfx.orchestration.portable import python_driver_operator
  from tfx.orchestration.portable import python_executor_operator
  from tfx.orchestration.portable import resolver_node_handler
  from tfx.orchestration.portable.input_resolution import exceptions
  from tfx.orchestration.portable.mlmd import context_lib
  from tfx.orchestration.portable.mlmd import execution_lib
  from tfx.proto.orchestration import driver_output_pb2
  from tfx.proto.orchestration import executable_spec_pb2
  from tfx.proto.orchestration import execution_result_pb2
  from tfx.proto.orchestration import pipeline_pb2
  from tfx.utils import typing_utils
  from google.protobuf import message
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 1 for calling a global function with example usage: _register_execution(metadata_handle, execution_type, contexts, input_artifacts, exec_properties) and returns: execution_publish_utils