code: def test_if_tokenize_entity_classification_raise_error_with_invalid_inputs(
      self,
  ):
      tokenizer = self.get_tokenizer(task="entity_classification")
  
      sentence = "Japanese is an East Asian language spoken by about 128 million people, primarily in Japan."
      span = (15, 34)
  
      with self.assertRaises(ValueError):
          tokenizer(sentence, entity_spans=[])
  
      with self.assertRaises(ValueError):
          tokenizer(sentence, entity_spans=[span, span])
  
      with self.assertRaises(ValueError):
          tokenizer(sentence, entity_spans=[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 12 for calling the LukeTokenizerTest obj's underlying member method code with example usage: obj.test_if_tokenize_entity_classification_raise_error_with_invalid_inputs() without return types