code: def test_hotflip_freeze_tokens_multi_input(self):
      config = {
          **_CONFIG_REGRESSION,
          hotflip.NUM_EXAMPLES_KEY: 10,
          hotflip.TOKENS_TO_IGNORE_KEY: ["long", "terrible"],
      }
  
      ex = {
          "sentence1": "this long movie is terrible.",
          "sentence2": "this long movie is great.",
      }
  
      counterfactuals = self.hotflip.generate(
          ex, self.regression_model, None, config
      )
  
      for cf in counterfactuals:
          tokens1 = cf["tokens_sentence1"]
          tokens2 = cf["tokens_sentence2"]
          self.assertEqual("terrible", tokens1[4])
          self.assertEqual("long", tokens1[1])
          self.assertEqual("long", tokens2[1])
  
file_path: lit/lit_nlp/components/hotflip_int_test.py
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.components import hotflip
  from lit_nlp.examples.models import glue_models
  import numpy
  from lit_nlp.lib import file_cache
label_desc: Use image node_id 6 for calling the HotflipIntegrationTest obj's underlying member method code with example usage: obj.test_hotflip_freeze_tokens_multi_input() without return types