from __future__ import annotations





def      lowerCAmelCase_       ( __lowerCAmelCase  )->     int:






      '''simple docstring'''





      for i in range(1						,    len(matrix[0]  )  ):
            matrix[0][i] += matrix[0][i - 1]

      # preprocessing the first column
      for i in range(1						,    len(_SCREAMING_SNAKE_CASE  )  ):
            matrix[i][0] += matrix[i - 1][0]

      # updating the path cost for current position
      for i in range(1						,    len(_SCREAMING_SNAKE_CASE  )  ):
            for j in range(1						,    len(matrix[0]  )  ):
                  matrix[i][j] += min(matrix[i - 1][j]						,    matrix[i][j - 1]  )

      return matrix[-1][-1]


if __name__ == "__main__":
     import doctest

     doctest.testmod()






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 		UpperCamelCase__	(unittest.TestCase     ):

    '''simple docstring'''



    @cached_property
    def     _lowercase     (    self     )     ->      int:
           lowerCamelCase   :      str			 =					tempfile.mkdtemp()
           return TatoebaConverter(save_dir=UpperCamelCase__     )







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







    @slow
    def     _lowercase     (    self     )     ->      Tuple:
           lowerCamelCase ,      lowerCamelCase   :      Dict			 =					self.resolver.write_model_card("opus-mt-he-en"     ,  dry_run=UpperCamelCase__     )
           assert mmeta["long_pair"] == "heb-eng"






