code: def test_if_tokenize_single_text_raise_error_with_invalid_inputs(
      self,
  ):
      tokenizer = self.get_tokenizer()
  
      sentence = "ISO 639-3 uses the code fas for the dialects spoken across Iran and Afghanistan."
      entities = ["DUMMY"]
      spans = [(0, 9)]
  
      with self.assertRaises(ValueError):
          tokenizer(
              sentence, entities=tuple(entities), entity_spans=spans
          )
  
      with self.assertRaises(ValueError):
          tokenizer(
              sentence, entities=entities, entity_spans=tuple(spans)
          )
  
      with self.assertRaises(ValueError):
          tokenizer(sentence, entities=[0], entity_spans=spans)
  
      with self.assertRaises(ValueError):
          tokenizer(sentence, entities=entities, entity_spans=[0])
  
      with self.assertRaises(ValueError):
          tokenizer(
              sentence, entities=entities, entity_spans=spans + [(0, 9)]
          )
  
imports: import unittest
  from typing import Tuple
  from transformers.models.mluke.tokenization_mluke import MLukeTokenizer
  from transformers.testing_utils import get_tests_dir, require_torch, slow
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 11 for calling the MLukeTokenizerTest obj's underlying member method code with example usage: obj.test_if_tokenize_single_text_raise_error_with_invalid_inputs() without return types