





from __future__ import annotations







class 						_lowerCAmelCase:

  """simple docstring"""







  def __init__(					self  ,				UpperCAmelCase = 0	)->					None:
     __A      					=   value
     __A      					=   None
     __A      					=   None
def       __UpperCamelCase  (		snake_case				,       snake_case	)  ->						Node | None:


   '''simple docstring'''







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

   __A      					=   treea.value + treea.value
   __A      					=   merge_two_binary_trees(treea.left				,       treea.left	)
   __A      					=   merge_two_binary_trees(treea.right				,       treea.right	)
   return treea
def       __UpperCamelCase  (		snake_case	)  ->						None:


   '''simple docstring'''







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


if __name__ == "__main__":
    _UpperCamelCase    :							List[Any]      =       Node(1)
    _UpperCamelCase    :							Any      =       Node(2)
    _UpperCamelCase    :							int      =       Node(3)
    _UpperCamelCase    :							Any      =       Node(4)

    _UpperCamelCase    :							Dict      =       Node(2)
    _UpperCamelCase    :							Optional[int]      =       Node(4)
    _UpperCamelCase    :							List[str]      =       Node(6)
    _UpperCamelCase    :							int      =       Node(9)
    _UpperCamelCase    :							Optional[int]      =       Node(5)

    print("""Tree1 is: """)
    print_preorder(treea)
    print("""Tree2 is: """)
    print_preorder(treea)
    _UpperCamelCase    :							Optional[int]      =       merge_two_binary_trees(treea, treea)
    print("""Merged Tree is: """)
    print_preorder(merged_tree)


from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


lowerCamelCase__   = {
    '''configuration_ernie_m''': ['''ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ErnieMConfig'''],
}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__   = ['''ErnieMTokenizer''']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__   = [
       '''ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''ErnieMForMultipleChoice''',
       '''ErnieMForQuestionAnswering''',
       '''ErnieMForSequenceClassification''',
       '''ErnieMForTokenClassification''',
       '''ErnieMModel''',
       '''ErnieMPreTrainedModel''',
       '''ErnieMForInformationExtraction''',
   ]


if TYPE_CHECKING:
   from .configuration_ernie_m import ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieMConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_ernie_m import ErnieMTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_ernie_m import (
          ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST,
          ErnieMForInformationExtraction,
          ErnieMForMultipleChoice,
          ErnieMForQuestionAnswering,
          ErnieMForSequenceClassification,
          ErnieMForTokenClassification,
          ErnieMModel,
          ErnieMPreTrainedModel,
      )


else:
   import sys

   lowerCamelCase__   = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




