




'''simple docstring'''






from __future__ import annotations

class   SCREAMING_SNAKE_CASE_		:



 def __init__(  self   ,		A = 0 ):






        '''simple docstring'''




        lowercase  :		Union[str, Any]						=      value
        lowercase  :		Node | None						=      None
        lowercase  :		Node | None						=      None






def 		a_( lowerCamelCase   ,				lowerCamelCase      )				->Node | None:






       '''simple docstring'''




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

       lowercase  :		Optional[int]						=      treea.value + treea.value
       lowercase  :		Optional[Any]						=      merge_two_binary_trees(treea.left   ,				treea.left      )
       lowercase  :		str						=      merge_two_binary_trees(treea.right   ,				treea.right      )
       return treea




def 		a_( lowerCamelCase      )				->None:






       '''simple docstring'''




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


if __name__ == "__main__":
      lowercase	:      Optional[int]				=       Node(1)
      lowercase	:      Dict				=       Node(2)
      lowercase	:      Optional[int]				=       Node(3)
      lowercase	:      Optional[Any]				=       Node(4)

      lowercase	:      Optional[int]				=       Node(2)
      lowercase	:      Optional[int]				=       Node(4)
      lowercase	:      Optional[Any]				=       Node(6)
      lowercase	:      Union[str, Any]				=       Node(9)
      lowercase	:      Optional[int]				=       Node(5)

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










'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase	:      Optional[int]				=       {
    '''configuration_prophetnet''': ['''PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ProphetNetConfig'''],
    '''tokenization_prophetnet''': ['''ProphetNetTokenizer'''],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase	:      List[str]				=       [
          '''PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ProphetNetDecoder''',
          '''ProphetNetEncoder''',
          '''ProphetNetForCausalLM''',
          '''ProphetNetForConditionalGeneration''',
          '''ProphetNetModel''',
          '''ProphetNetPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
      from .tokenization_prophetnet import ProphetNetTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_prophetnet import (
                PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                ProphetNetDecoder,
                ProphetNetEncoder,
                ProphetNetForCausalLM,
                ProphetNetForConditionalGeneration,
                ProphetNetModel,
                ProphetNetPreTrainedModel,
            )

else:
      import sys

      lowercase	:      int				=       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




