code: def verify_results(self, expected_output, scripted_output) -> None:
      for i, j in zip(expected_output, scripted_output):
          npt.assert_array_equal(i.detach(), j.detach())
  
file_path: ReAgent/reagent/test/prediction/test_model_with_preprocessor.py
imports: import unittest
  import numpy.testing
  import torch
  from reagent.model_utils.seq2slate_utils import Seq2SlateOutputArch
  from reagent.models.seq2slate import Seq2SlateTransformerNet
  from reagent.prediction.predictor_wrapper import Seq2SlateWithPreprocessor
  from reagent.preprocessing.preprocessor import Preprocessor
  from reagent.test.prediction.test_prediction_utils import _cont_norm, change_cand_size_slate_ranking
label_desc: Use image node_id 1 for calling the TestModelWithPreprocessor obj's underlying member method code with example usage: obj.verify_results(expected_output, scripted_output) without return types