code: def __init__(
      self,
      parent,
  ):
      self.parent = parent
      self.src_vocab_size = 99
      self.tgt_vocab_size = 99
      self.langs = ["ru", "en"]
      self.batch_size = 13
      self.seq_length = 7
      self.is_training = False
      self.use_labels = False
      self.hidden_size = 16
      self.num_hidden_layers = 2
      self.num_attention_heads = 4
      self.intermediate_size = 4
      self.hidden_act = "relu"
      self.hidden_dropout_prob = 0.1
      self.attention_probs_dropout_prob = 0.1
      self.max_position_embeddings = 20
      self.bos_token_id = 0
      self.pad_token_id = 1
      self.eos_token_id = 2
      torch.manual_seed(0)
  
      # hack needed for modeling_common tests - despite not really having this attribute in this model
      self.vocab_size = self.src_vocab_size
  
imports: import tempfile
  import unittest
  import timeout_decorator
  from parameterized import parameterized
  from transformers import FSMTConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
  from transformers.utils import cached_property
  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 1 to create a new FSMTModelTester object  with example: obj = FSMTModelTester(parent)