code: def test_minimal_pert_alt_correct(self) -> None:
      model = BasicModel_MultiLayer()
      text_inp = ["abc", "zyd", "ghi"]
      minimal_pert = MinParamPerturbation(
          forward_func=model,
          attack=add_char,
          arg_name="char_val",
          arg_min=0,
          arg_max=26,
          arg_step=1,
          preproc_fn=text_preproc_fn,
          apply_before_preproc=True,
          correct_fn=alt_correct_fn,
          num_attempts=5,
      )
      expected_list = ["abc", "ezyd", "ghi"]
  
      target_inp, pert = minimal_pert.evaluate(
          text_inp,
          target=1,
          attack_kwargs={"ind": 1},
          correct_fn_kwargs={"threshold": 1200},
          perturbations_per_eval=5,
      )
      self.assertEqual(pert, 21)
      self.assertListEqual(target_inp, expected_list)
  
      target_inp_single, pert_single = minimal_pert.evaluate(
          text_inp,
          target=1,
          attack_kwargs={"ind": 1},
          correct_fn_kwargs={"threshold": 1200},
      )
      self.assertEqual(pert_single, 21)
      self.assertListEqual(target_inp_single, expected_list)
  
file_path: captum/tests/robust/test_min_param_perturbation.py
imports: from typing import cast, List
  import torch
  from captum.robust import MinParamPerturbation
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel, BasicModel_MultiLayer
  from torch import Tensor
label_desc: Use image node_id 4 for calling the Test obj's underlying member method code with example usage: obj.test_minimal_pert_alt_correct() without return types