code: def __init__(
      self,
      parent,
  ):
      self.parent = parent
      self.batch_size = 13
      self.seq_length = 7
      self.is_training = True
      self.use_input_lengths = True
      self.use_token_type_ids = True
      self.use_labels = True
      self.gelu_activation = True
      self.sinusoidal_embeddings = False
      self.causal = False
      self.asm = False
      self.n_langs = 2
      self.vocab_size = 99
      self.n_special = 0
      self.hidden_size = 32
      self.num_hidden_layers = 5
      self.num_attention_heads = 4
      self.hidden_dropout_prob = 0.1
      self.attention_probs_dropout_prob = 0.1
      self.max_position_embeddings = 512
      self.type_vocab_size = 16
      self.type_sequence_label_size = 2
      self.initializer_range = 0.02
      self.num_labels = 3
      self.num_choices = 4
      self.summary_type = "last"
      self.use_proj = True
      self.scope = None
      self.bos_token_id = 0
  
imports: 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
label_desc: Use image node_id 1 to create a new TFFlaubertModelTester object  with example: obj = TFFlaubertModelTester(parent)