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 = tf.where(
          input_ids == config.sep_token_id, 0, input_ids
      )
      # Make sure there are exactly three sep_token_id
      input_ids = tf.concat(
          [
              input_ids[:, :-3],
              tf.ones_like(input_ids)[:, -3:] * config.sep_token_id,
          ],
          axis=-1,
      )
      input_mask = tf.ones_like(input_ids)
  
      return (
          config,
          input_ids,
          token_type_ids,
          input_mask,
          sequence_labels,
          token_labels,
          choice_labels,
      )
  
imports: from __future__ import annotations
  import unittest
  from transformers import is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 12 for calling the TFLongformerModelTester 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