code: def test_enro_generate_one(self):
      batch: BatchEncoding = self.tokenizer(
          ["UN Chief Says There Is No Military Solution in Syria"],
          return_tensors="pt",
      ).to(torch_device)
      translated_tokens = self.model.generate(**batch)
      decoded = self.tokenizer.batch_decode(
          translated_tokens, skip_special_tokens=True
      )
      self.assertEqual(self.tgt_text[0], decoded[0])
  
imports: import copy
  import tempfile
  import unittest
  from transformers import MBartConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, require_torch_fp16, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the MBartEnroIntegrationTest obj's underlying member method code with example usage: obj.test_enro_generate_one() without return types