code: def __init__(
      self,
      parent,
  ):
      self.parent = parent
      self.batch_size = 13
      self.seq_length = 7
      self.mem_len = 10
      # self.key_len = seq_length + mem_len
      self.clamp_len = -1
      self.reuse_len = 15
      self.is_training = True
      self.use_labels = True
      self.vocab_size = 99
      self.cutoffs = [10, 50, 80]
      self.hidden_size = 32
      self.num_attention_heads = 4
      self.d_inner = 128
      self.num_hidden_layers = 5
      self.type_sequence_label_size = 2
      self.untie_r = True
      self.bi_data = False
      self.same_length = False
      self.initializer_range = 0.05
      self.seed = 1
      self.type_vocab_size = 2
      self.bos_token_id = 1
      self.eos_token_id = 2
      self.pad_token_id = 5
      self.num_choices = 4
  
imports: 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
label_desc: Use image node_id 1 to create a new TFXLNetModelTester object  with example: obj = TFXLNetModelTester(parent)