code: def get_config(self):
      return TransfoXLConfig(
          vocab_size=self.vocab_size,
          mem_len=self.mem_len,
          clamp_len=self.clamp_len,
          cutoffs=self.cutoffs,
          d_model=self.hidden_size,
          d_embed=self.d_embed,
          n_head=self.num_attention_heads,
          d_head=self.d_head,
          d_inner=self.d_inner,
          div_val=self.div_val,
          n_layer=self.num_hidden_layers,
          eos_token_id=self.eos_token_id,
          pad_token_id=self.pad_token_id,
      )
  
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 3 for calling the TransfoXLModelTester obj's underlying member method code with example usage: obj.get_config() and returns: TransfoXLConfig