class 	__snake_case      :
 def __init__(     self						,      snake_case__  )		->							List[Any]:
       '''simple docstring'''





       UpperCAmelCase			:       int			     =val
       UpperCAmelCase			:       Optional[int]			     =None
       UpperCAmelCase			:       Any			     =None






 def 		UpperCAmelCase__				(     self						,      snake_case__  )		->							List[str]:
       '''simple docstring'''





       if self.val:
             if val < self.val:
                   if self.left is None:
                         UpperCAmelCase			:       Union[str, Any]			     =Node(UpperCamelCase__  )
                   else:
                         self.left.insert(UpperCamelCase__  )
             elif val > self.val:
                   if self.right is None:
                         UpperCAmelCase			:       Optional[Any]			     =Node(UpperCamelCase__  )
                   else:
                         self.right.insert(UpperCamelCase__  )
       else:
             UpperCAmelCase			:       List[str]			     =val





def      lowerCAmelCase_       ( __lowerCAmelCase						,    __lowerCAmelCase  )->     Optional[int]:






      '''simple docstring'''





      if root:
            inorder(root.left						,    _SCREAMING_SNAKE_CASE  )
            res.append(root.val  )
            inorder(root.right						,    _SCREAMING_SNAKE_CASE  )





def      lowerCAmelCase_       ( __lowerCAmelCase  )->     Dict:






      '''simple docstring'''





      if len(_SCREAMING_SNAKE_CASE  ) == 0:
            return arr
      UpperCAmelCase			:       List[Any]			     =Node(arr[0]  )
      for i in range(1						,    len(_SCREAMING_SNAKE_CASE  )  ):
            root.insert(arr[i]  )
      # Traverse BST in order.
      UpperCAmelCase			:       Optional[Any]			     =[]
      inorder(_SCREAMING_SNAKE_CASE						,    _SCREAMING_SNAKE_CASE  )
      return res


if __name__ == "__main__":
     print(tree_sort([10, 1, 3, 2, 9, 14, 13]))






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"






