code: def test_postprocess_next_token_scores_large_bad_words_list(self):
      config = self.config
      model = self.model
      # Initialize an input id tensor with batch size 8 and sequence length 12
      input_ids = torch.arange(0, 96, 1).view((8, 12))
  
      bad_words_ids = []
      for _ in range(100):
          length_bad_word = random.randint(1, 4)
          bad_words_ids.append(
              random.sample(range(1, 300), length_bad_word)
          )
  
      scores = torch.rand((8, 300))
      _ = model.postprocess_next_token_scores(
          scores,
          input_ids,
          0,
          bad_words_ids,
          13,
          15,
          config.max_length,
          config.eos_token_id,
          config.repetition_penalty,
          32,
          5,
      )
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/data/test_generation_utils.py
imports: import random
  import unittest
  import timeout_decorator
  from ..testing_utils import require_torch
  from ..utils import cached_property, is_torch_available
label_desc: Use image node_id 4 for calling the GenerationUtilsTest obj's underlying member method code with example usage: obj.test_postprocess_next_token_scores_large_bad_words_list() without return types