code: def test_argparse_input_perturbation(self) -> None:
      self.search_space_digest.robust_digest = RobustSearchSpaceDigest(
          sample_param_perturbations=lambda: np.zeros((2, 2)),
      )
  
      input_transform_kwargs = input_transform_argparse(
          InputPerturbation,
          dataset=self.dataset,
          search_space_digest=self.search_space_digest,
      )
  
      self.assertEqual(input_transform_kwargs["multiplicative"], False)
  
      self.assertTrue(
          torch.all(
              torch.isclose(
                  input_transform_kwargs["perturbation_set"],
                  torch.tensor(
                      [[0.0, 0.0], [0.0, 0.0]], dtype=torch.float64
                  ),
              )
          )
      )
  
imports: from __future__ import annotations
  from unittest.mock import patch
  import numpy
  import torch
  from ax.core.search_space import RobustSearchSpaceDigest, SearchSpaceDigest
  from ax.models.torch.botorch_modular.input_constructors.input_transforms import input_transform_argparse
  from ax.utils.common.testutils import TestCase
  from botorch.models.transforms.input import InputPerturbation, InputStandardize, InputTransform, Normalize, Warp
  from botorch.utils.datasets import MultiTaskDataset, SupervisedDataset
label_desc: Use image node_id 8 for calling the InputTransformArgparseTest obj's underlying member method code with example usage: obj.test_argparse_input_perturbation() without return types