


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      lowerCAmelCase__       (				unittest.TestCase):




     '''simple docstring'''


     @cached_property
     def  _lowerCamelCase (						self)			->				str:
            _A      :       List[str]				    = tempfile.mkdtemp()
            return TatoebaConverter(save_dir=__lowerCamelCase)


     @slow
     def  _lowerCamelCase (						self)			->				Tuple:
            self.resolver.convert_models(["heb-eng"])


     @slow
     def  _lowerCamelCase (						self)			->				str:
            _A    ,			_A      :       Any				    = self.resolver.write_model_card("opus-mt-he-en" ,						dry_run=__lowerCamelCase)
            assert mmeta["long_pair"] == "heb-eng"






"""simple docstring"""


from ..utils import DummyObject, requires_backends






class 					lowercase(     metaclass=__a ):







 '''simple docstring'''





 lowercase__ 					=					["note_seq"]


 def __init__(				self:		Dict,      *a_:		Union[str, Any],      **a_:		List[str]		):




   '''simple docstring'''



   requires_backends(self,      ["""note_seq"""]		)


 @classmethod
 def  UpperCamelCase_   (				cls:		Optional[int],      *a_:		Any,      **a_:		Optional[Any]		):




   '''simple docstring'''



   requires_backends(cls,      ["""note_seq"""]		)


 @classmethod
 def  UpperCamelCase_   (				cls:		Tuple,      *a_:		Optional[Any],      **a_:		List[str]		):




   '''simple docstring'''



   requires_backends(cls,      ["""note_seq"""]		)


