code: def _get_config(self):
      return FSMTConfig(
          src_vocab_size=self.src_vocab_size,
          tgt_vocab_size=self.tgt_vocab_size,
          langs=self.langs,
          d_model=24,
          encoder_layers=2,
          decoder_layers=2,
          encoder_attention_heads=2,
          decoder_attention_heads=2,
          encoder_ffn_dim=32,
          decoder_ffn_dim=32,
          max_position_embeddings=48,
          eos_token_id=2,
          pad_token_id=1,
          bos_token_id=0,
      )
  
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 for calling the FSMTHeadTests obj's underlying member method code with example usage: obj._get_config() and returns: FSMTConfig