code: def prepare_config_and_inputs_for_common(self):
      config_and_inputs = self.prepare_config_and_inputs()
      (
          config,
          input_ids_1,
          input_ids_2,
          input_ids_q,
          perm_mask,
          input_mask,
          target_mapping,
          segment_ids,
          lm_labels,
          sequence_labels,
          is_impossible_labels,
      ) = config_and_inputs
      inputs_dict = {"input_ids": input_ids_1}
      return config, inputs_dict
  
imports: from __future__ import annotations
  import inspect
  import random
  import unittest
  from transformers import XLNetConfig, is_tf_available
  from transformers.testing_utils import require_tf, 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 10 for calling the TFXLNetModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  inputs_dict