code: def resolve_result_trackers(
      result_tracker: OneOrManyHintOrType[ResultTracker] = None,
      result_tracker_kwargs: OneOrManyOptionalKwargs = None,
  ) -> MultiResultTracker:
      """Resolve and compose result trackers.
  
      :param result_tracker: Either none (will result in a Python result tracker),
          a single tracker (as either a class, instance, or string for class name), or a list
          of trackers (as either a class, instance, or string for class name
      :param result_tracker_kwargs: Either none (will use all defaults), a single dictionary
          (will be used for all trackers), or a list of dictionaries with the same length
          as the result trackers
      :returns: A multi-result trackers that offloads to all contained result trackers
      """
      if result_tracker is None:
          result_tracker = []
      trackers = tracker_resolver.make_many(
          queries=result_tracker, kwargs=result_tracker_kwargs
      )
      # always add a Python result tracker for storing the configuration
      trackers.append(PythonResultTracker(store_metrics=False))
      return MultiResultTracker(trackers=trackers)
  
file_path: pykeen/src/pykeen/trackers/__init__.py
imports: from class_resolver import ClassResolver
  from class_resolver.utils import OneOrManyHintOrType, OneOrManyOptionalKwargs
  from .base import ConsoleResultTracker, MultiResultTracker, PythonResultTracker, ResultTracker, TrackerHint
  from .file import CSVResultTracker, FileResultTracker, JSONResultTracker
  from .mlflow import MLFlowResultTracker
  from .neptune import NeptuneResultTracker
  from .tensorboard import TensorBoardResultTracker
  from .wandb import WANDBResultTracker
label_desc: Use image node_id 1 for calling a global function with example usage: resolve_result_trackers(result_tracker, result_tracker_kwargs) and returns: MultiResultTracker