code: def test_if_tokenize_entity_pair_classification_raise_error_with_invalid_inputs(
      self,
  ):
      tokenizer = self.get_tokenizer(task="entity_pair_classification")
  
      sentence = "Japanese is an East Asian language spoken by about 128 million people, primarily in Japan."
      # head and tail information
  
      with self.assertRaises(ValueError):
          tokenizer(sentence, entity_spans=[])
  
      with self.assertRaises(ValueError):
          tokenizer(sentence, entity_spans=[0, 0])
  
imports: import unittest
  from typing import Tuple
  from transformers import AddedToken, LukeTokenizer
  from transformers.testing_utils import get_tests_dir, require_torch, slow
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 13 for calling the LukeTokenizerTest obj's underlying member method code with example usage: obj.test_if_tokenize_entity_pair_classification_raise_error_with_invalid_inputs() without return types