code: def prepare_config_and_inputs(self):
      input_ids_1 = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      )
      input_ids_2 = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      )
  
      lm_labels = None
      if self.use_labels:
          lm_labels = ids_tensor(
              [self.batch_size, self.seq_length], self.vocab_size
          )
  
      config = self.get_config()
  
      return (config, input_ids_1, input_ids_2, lm_labels)
  
imports: import copy
  import random
  import unittest
  from transformers import TransfoXLConfig, is_torch_available
  from transformers.testing_utils import require_torch, require_torch_multi_gpu, slow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
label_desc: Use image node_id 2 for calling the TransfoXLModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  input_ids_1,  input_ids_2,  lm_labels