






"""simple docstring"""


from __future__ import annotations






class 						snake_case  :





    def __init__(							self	:					Optional[Any]				,		A	:					int = 0			):


      '''simple docstring'''




      a     :			Optional[Any]				=   value
      a     :			Node | None				=   None
      a     :			Node | None				=   None




def 			snake_case  (A_      :Node | None	,			A_      :Node | None      ):







  '''simple docstring'''

  if treea is None:
    return treea
  if treea is None:
    return treea

  a     :			Union[str, Any]				=   treea.value + treea.value
  a     :			List[Any]				=   merge_two_binary_trees(treea.left	,			treea.left      )
  a     :			Union[str, Any]				=   merge_two_binary_trees(treea.right	,			treea.right      )
  return treea




def 			snake_case  (A_      :Node | None      ):







  '''simple docstring'''

  if root:
    print(root.value      )
    print_preorder(root.left      )
    print_preorder(root.right      )


if __name__ == "__main__":
   _UpperCamelCase				:    Tuple     =						Node(1)
   _UpperCamelCase				:    int     =						Node(2)
   _UpperCamelCase				:    Union[str, Any]     =						Node(3)
   _UpperCamelCase				:    Optional[int]     =						Node(4)

   _UpperCamelCase				:    Optional[Any]     =						Node(2)
   _UpperCamelCase				:    Tuple     =						Node(4)
   _UpperCamelCase				:    Union[str, Any]     =						Node(6)
   _UpperCamelCase				:    List[Any]     =						Node(9)
   _UpperCamelCase				:    Optional[Any]     =						Node(5)

   print('Tree1 is: ')
   print_preorder(treea)
   print('Tree2 is: ')
   print_preorder(treea)
   _UpperCamelCase				:    List[str]     =						merge_two_binary_trees(treea, treea)
   print('Merged Tree is: ')
   print_preorder(merged_tree)












from dataclasses import dataclass
from typing import Callable, Optional

import datasets




@dataclass
class 							a_ (						datasets.BuilderConfig		):


							'''simple docstring'''






							__a:	Optional[Callable]     =    None
							__a:	Optional[dict]     =    None
							__a:	Optional[datasets.Features]     =    None

							def      _lowercase       (		self   )					->					Optional[int]:
														'''simple docstring'''

														assert self.generator is not None, "generator must be specified"

														if self.gen_kwargs is None:
																					lowerCAmelCase_										=     {}




class 							a_ (						datasets.GeneratorBasedBuilder		):


							'''simple docstring'''






							__a:	Optional[Any]     =    GeneratorConfig

							def      _lowercase       (		self   )					->					Union[str, Any]:
														'''simple docstring'''

														return datasets.DatasetInfo(features=self.config.features   )

							def      _lowercase       (		self			,			lowercase_   )					->					Dict:
														'''simple docstring'''

														return [datasets.SplitGenerator(name=datasets.Split.TRAIN			,			gen_kwargs=self.config.gen_kwargs   )]






							def      _lowercase       (		self			,			**lowercase_   )					->					Union[str, Any]:
														'''simple docstring'''

														for idx, ex in enumerate(self.config.generator(**lowercase_   )   ):
																					yield idx, ex



