



'''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(A		)  ,  'Tatoeba directory does not exist.'		)
class __A     (    unittest.TestCase		):



 '''simple docstring'''







 @cached_property
 def    a__    (self			)       ->	List[str]:


      """simple docstring"""



      _a           =    tempfile.mkdtemp()
      return TatoebaConverter(save_dir=A			)



 @slow
 def    a__    (self			)       ->	Dict:


      """simple docstring"""



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



 @slow
 def    a__    (self			)       ->	Tuple:


      """simple docstring"""



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







import numpy as np







def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase				)    ->				np.ndarray:
  return 1 / (1 + np.exp(-vector				))







def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase				)    ->				np.ndarray:
  return vector * sigmoid(__lowerCAmelCase				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()

