
import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property




@unittest.skipUnless(os.path.exists(_A     )  ,       """Tatoeba directory does not exist."""     )
class        UpperCAmelCase_			( unittest.TestCase     ):


  '''simple docstring'''







  @cached_property
  def 							_lowercase							( self			: Tuple    )			->	Optional[int]:







    """simple docstring"""






    __magic_name__				     =       tempfile.mkdtemp()
    return TatoebaConverter(save_dir=UpperCamelCase__    )
  @slow
  def 							_lowercase							( self			: Tuple    )			->	List[str]:







    """simple docstring"""






    self.resolver.convert_models(["""heb-eng"""]    )





  @slow
  def 							_lowercase							( self			: int    )			->	Tuple:







    """simple docstring"""






    __magic_name__     ,    __magic_name__				     =       self.resolver.write_model_card("""opus-mt-he-en"""			,							dry_run=UpperCamelCase__    )
    assert mmeta["long_pair"] == "heb-eng"








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


__UpperCAmelCase       :   Union[str, Any]				       =							{}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase       :   str				       =							["BartphoTokenizer"]

if TYPE_CHECKING:
      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_bartpho import BartphoTokenizer

else:
      import sys

      __UpperCAmelCase       :   Optional[Any]				       =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






