code: def test_errors(self):
      string = "This is a simple input"
  
      # 2 sentences, 1 offset_mapping, args
      with self.assertRaises(TypeError):
          self.args_parser(
              string, string, offset_mapping=[[(0, 1), (1, 2)]]
          )
  
      # 2 sentences, 1 offset_mapping, args
      with self.assertRaises(TypeError):
          self.args_parser(
              string, string, offset_mapping=[(0, 1), (1, 2)]
          )
  
      # 2 sentences, 1 offset_mapping, input_list
      with self.assertRaises(ValueError):
          self.args_parser(
              [string, string], offset_mapping=[[(0, 1), (1, 2)]]
          )
  
      # 2 sentences, 1 offset_mapping, input_list
      with self.assertRaises(ValueError):
          self.args_parser(
              [string, string], offset_mapping=[(0, 1), (1, 2)]
          )
  
      # 1 sentences, 2 offset_mapping
      with self.assertRaises(ValueError):
          self.args_parser(
              string,
              offset_mapping=[[(0, 1), (1, 2)], [(0, 2), (2, 3)]],
          )
  
      # 0 sentences, 1 offset_mapping
      with self.assertRaises(TypeError):
          self.args_parser(offset_mapping=[[(0, 1), (1, 2)]])
  
imports: import unittest
  import numpy
  from transformers import MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING, TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING, AutoModelForTokenClassification, AutoTokenizer, TokenClassificationPipeline, pipeline
  from transformers.pipelines import AggregationStrategy, TokenClassificationArgumentHandler
  from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, require_torch, require_torch_accelerator, slow, torch_device
  from .test_pipelines_common import ANY
label_desc: Use image node_id 3 for calling the TokenClassificationArgumentHandlerTestCase obj's underlying member method code with example usage: obj.test_errors() without return types