code: def prepare_config_and_inputs_for_question_answering(self):
      config_and_inputs = self.prepare_config_and_inputs()
      (
          config,
          input_ids,
          token_type_ids,
          input_mask,
          sequence_labels,
          token_labels,
          choice_labels,
      ) = config_and_inputs
  
      # Replace sep_token_id by some random id
      input_ids[input_ids == config.sep_token_id] = torch.randint(
          0, config.vocab_size, (1,)
      ).item()
      # Make sure there are exactly three sep_token_id
      input_ids[:, -3:] = config.sep_token_id
      input_mask = torch.ones_like(input_ids)
  
      return (
          config,
          input_ids,
          token_type_ids,
          input_mask,
          sequence_labels,
          token_labels,
          choice_labels,
      )
  
imports: import unittest
  from transformers import LongformerConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 14 for calling the LongformerModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_question_answering() and returns: config,  input_ids,  token_type_ids,  input_mask,  sequence_labels,  token_labels,  choice_labels