code: def generate_output_dict(
      metadata_handle: metadata.Metadata,
      uri: str,
      properties: Dict[str, Any],
      custom_properties: Dict[str, Any],
      reimport: bool,
      output_artifact_class: Type[types.Artifact],
      mlmd_artifact_type: Optional[
          metadata_store_pb2.ArtifactType
      ] = None,
      output_key: Optional[str] = None,
  ) -> Dict[str, List[types.Artifact]]:
      """Generates Importer's output dict.
  
      If there is already an artifact in MLMD with the same URI and properties /
      custom properties, that artifact will be reused unless the `reimport`
      argument is set to True.
  
      Args:
        metadata_handle: The handler of MLMD.
        uri: The uri of the artifact.
        properties: The properties of the artifact, given as a dictionary from
          string keys to integer / string values. Must conform to the declared
          properties of the destination channel's output type.
        custom_properties: The custom properties of the artifact, given as a
          dictionary from string keys to integer / string values.
        reimport: If set to True, will register a new artifact even if it already
          exists in the database.
        output_artifact_class: The class of the output artifact.
        mlmd_artifact_type: The MLMD artifact type of the Artifact to be created.
        output_key: The key to use for the imported artifact in the Importer's
          output dictionary. Defaults to 'result'.
  
      Returns:
        A dictionary with the only key `output_key` whose value is the Artifact.
      """
      output_key = output_key or IMPORT_RESULT_KEY
      return {
          output_key: [
              _prepare_artifact(
                  metadata_handle,
                  uri=uri,
                  properties=properties,
                  custom_properties=custom_properties,
                  output_artifact_class=output_artifact_class,
                  mlmd_artifact_type=mlmd_artifact_type,
                  reimport=reimport,
              )
          ]
      }
  
imports: from typing import Any, Dict, List, Optional, Type, Union
  import absl
  from tfx import types
  from tfx.dsl.components.base import base_driver
  from tfx.dsl.components.base import base_node
  from tfx.orchestration import data_types
  from tfx.orchestration import metadata
  from tfx.types import channel_utils
  from tfx.utils import doc_controls
  from ml_metadata import errors
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 3 for calling a global function with example usage: generate_output_dict(metadata_handle, uri, properties, custom_properties, reimport, output_artifact_class, mlmd_artifact_type, output_key) and returns: dict