code: def _outcome_transform_argparse_standardize(
      outcome_transform_class: Type[Standardize],
      dataset: SupervisedDataset,
      outcome_transform_options: Optional[Dict[str, Any]] = None,
  ) -> Dict[str, Any]:
      """Extract the outcome transform kwargs form the given arguments.
  
      Args:
          outcome_transform_class: Outcome transform class, which is Standardize in this
              case.
          dataset: Dataset containing feature matrix and the response.
          outcome_transform_options: Outcome transform kwargs.
              See botorch.models.transforms.outcome.Standardize for all available options
  
      Returns:
          A dictionary with outcome transform kwargs.
      """
  
      outcome_transform_options = outcome_transform_options or {}
      m = dataset.Y.shape[-1]
      outcome_transform_options.setdefault("m", m)
  
      return outcome_transform_options
  
imports: from __future__ import annotations
  from typing import Any, Dict, Optional, Type
  from ax.utils.common.typeutils import _argparse_type_encoder
  from botorch.models.transforms.outcome import OutcomeTransform, Standardize
  from botorch.utils.datasets import SupervisedDataset
  from botorch.utils.dispatcher import Dispatcher
label_desc: Use image node_id 2 for calling a global function with example usage: _outcome_transform_argparse_standardize(outcome_transform_class, dataset, outcome_transform_options) and returns: outcome_transform_options