code: def setUp(self) -> None:
      X = torch.randn((10, 4))
      Y = torch.randn((10, 1))
      self.dataset = SupervisedDataset(
          X=X,
          Y=Y,
          feature_names=["chicken", "eggs", "pigeons", "bunnies"],
          outcome_names=["farm"],
      )
  
file_path: Ax/ax/models/torch/tests/test_outcome_transform_argparse.py
imports: import torch
  from ax.models.torch.botorch_modular.input_constructors.outcome_transform import outcome_transform_argparse
  from ax.utils.common.testutils import TestCase
  from botorch.models.transforms.outcome import OutcomeTransform, Standardize
  from botorch.utils.datasets import SupervisedDataset
label_desc: Use image node_id 1 for calling the OutcomeTransformArgparseTest obj's underlying member method code with example usage: obj.setUp() without return types