code: def translation_setup(self, pair):
      text = {
          "en": "Machine learning is great, isn't it?",
          "ru": "Машинное обучение - это здорово, не так ли?",
          "de": "Maschinelles Lernen ist großartig, oder?",
      }
  
      src, tgt = pair.split("-")
      print(f"Testing {src} -> {tgt}")
      mname = f"facebook/wmt19-{pair}"
  
      src_text = text[src]
      tgt_text = text[tgt]
  
      tokenizer = self.get_tokenizer(mname)
      model = self.get_model(mname)
      return tokenizer, model, src_text, tgt_text
  
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 6 for calling the FSMTModelIntegrationTests obj's underlying member method code with example usage: obj.translation_setup(pair) and returns: tokenizer,  model,  src_text,  tgt_text