code: def test_argparse_input_transform(self) -> None:
      input_transform_kwargs = input_transform_argparse(
          InputTransform,
          dataset=self.dataset,
      )
  
      self.assertEqual(input_transform_kwargs, {})
  
      input_transform_kwargs = input_transform_argparse(
          InputStandardize,
          dataset=self.dataset,
          input_transform_options={"d": 10},
      )
  
      self.assertEqual(input_transform_kwargs, {"d": 10})
  
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 5 for calling the InputTransformArgparseTest obj's underlying member method code with example usage: obj.test_argparse_input_transform() without return types