'''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(__lowerCamelCase ) ,				'Tatoeba directory does not exist.' )
class 							lowercase						(						unittest.TestCase ):


   @cached_property
   def __UpperCAmelCase       (   self				:	Union[str, Any])      ->					str:
         lowercase_     =      tempfile.mkdtemp()
         return TatoebaConverter(save_dir=__lowerCAmelCase)


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


   @slow
   def __UpperCAmelCase       (   self				:	Union[str, Any])      ->					Tuple:
         lowercase_ ,							lowercase_     =      self.resolver.write_model_card("opus-mt-he-en"   ,		dry_run=__lowerCAmelCase)
         assert mmeta["long_pair"] == "heb-eng"







'''simple docstring'''

def __a (	__lowerCamelCase			:						int = 600_851_475_143				)	->							int:
      '''simple docstring'''


      try:
            lowercase_     =      int(__lowerCamelCase				)
      except (TypeError, ValueError):
            raise TypeError("Parameter n must be int or castable to int."				)
      if n <= 0:
            raise ValueError("Parameter n must be greater than or equal to one."				)
      lowercase_     =      1
      lowercase_     =      2
      while i * i <= n:
            while n % i == 0:
                  lowercase_     =      i
                  n //= i
            i += 1
      if n > 1:
            lowercase_     =      n
      return int(__lowerCamelCase				)


if __name__ == "__main__":
       print(F'''{solution() = }''')






