
'''simple docstring'''


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(_lowercase			)					,   "Tatoeba directory does not exist."			)
class 		__lowercase (     unittest.TestCase			):

			@cached_property
			def 				UpperCAmelCase__       (self					):
								lowerCamelCase_    :					Dict   =						tempfile.mkdtemp()
								return TatoebaConverter(save_dir=_snake_case					)

			@slow
			def 				UpperCAmelCase__       (self					):
								self.resolver.convert_models(['''heb-eng''']					)






			@slow
			def 				UpperCAmelCase__       (self					):
								lowerCamelCase_,					lowerCamelCase_    :					Any   =						self.resolver.write_model_card('''opus-mt-he-en'''	,      dry_run=_snake_case					)
								assert mmeta["long_pair"] == "heb-eng"








def    A						(__A   :    list   ,				__A   :    int   ,				__A   :    int = 0   ,				__A   :    int = 0       )   ->      int:







     """simple docstring"""


     UpperCAmelCase_          =							right or len(__A       ) - 1
     if left > right:
          return -1
     elif list_data[left] == key:
          return left
     elif list_data[right] == key:
          return right
     else:
          return search(__A   ,				__A   ,				left + 1   ,				right - 1       )


if __name__ == "__main__":
    import doctest

    doctest.testmod()






