



def 	UpperCAmelCase__      (      UpperCAmelCase__ :list					):






 '''simple docstring'''

 if not grid or not grid[0]:
  raise TypeError("The grid does not contain the appropriate information"					)

 for cell_n in range(1 ,					len(grid[0]					)					):
  grid[0][cell_n] += grid[0][cell_n - 1]
 a						=		grid[0]

 for row_n in range(1 ,					len(UpperCAmelCase__					)					):
  a						=		grid[row_n]
  a						=		fill_row(UpperCAmelCase__ ,					UpperCAmelCase__					)
  a						=		grid[row_n]

 return grid[-1][-1]


def 	UpperCAmelCase__      (      UpperCAmelCase__ :list ,					UpperCAmelCase__ :list					):






 '''simple docstring'''

 current_row[0] += row_above[0]
 for cell_n in range(1 ,					len(UpperCAmelCase__					)					):
  current_row[cell_n] += min(current_row[cell_n - 1] ,					row_above[cell_n]					)

 return current_row


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(UpperCAmelCase__	),   '''Tatoeba directory does not exist.'''	)
class 		_lowercase		(       unittest.TestCase	):

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


    """simple docstring"""






    a						=		tempfile.mkdtemp()
    return TatoebaConverter(save_dir=__lowerCAmelCase							)

   @slow
   def 		A							(      self			:       Optional[int]							)       ->				List[str]:


    """simple docstring"""






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




   @slow
   def 		A							(      self			:       Dict							)       ->				Any:


    """simple docstring"""






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

