



'''simple docstring'''






from __future__ import annotations



class 							lowercase :


 """simple docstring"""


 def __init__(							self						,a_ = 0							)	->     None:
        _UpperCAmelCase						:		Any      =				value
        _UpperCAmelCase						:		Node | None      =				None
        _UpperCAmelCase						:		Node | None      =				None







def 					snake_case_      (  lowerCAmelCase_ ,     lowerCAmelCase_	)->	Node | None:





       '''simple docstring'''


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

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




def 					snake_case_      (  lowerCAmelCase_	)->	None:





       '''simple docstring'''


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


if __name__ == "__main__":
   A_							:				List[Any]						=			Node(1)
   A_							:				List[str]						=			Node(2)
   A_							:				Tuple						=			Node(3)
   A_							:				Tuple						=			Node(4)

   A_							:				Optional[int]						=			Node(2)
   A_							:				Optional[Any]						=			Node(4)
   A_							:				Optional[Any]						=			Node(6)
   A_							:				Tuple						=			Node(9)
   A_							:				Dict						=			Node(5)

   print("""Tree1 is: """)
   print_preorder(treea)
   print("""Tree2 is: """)
   print_preorder(treea)
   A_							:				Union[str, Any]						=			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, is_vision_available


A_							:				List[Any]						=			{
    """configuration_deta""": ["""DETA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DetaConfig"""],
}

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A_							:				Optional[int]						=			["""DetaImageProcessor"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A_							:				Optional[Any]						=			[
       """DETA_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """DetaForObjectDetection""",
       """DetaModel""",
       """DetaPreTrainedModel""",
   ]


if TYPE_CHECKING:
   from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .image_processing_deta import DetaImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_deta import (
          DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
          DetaForObjectDetection,
          DetaModel,
          DetaPreTrainedModel,
      )

else:
   import sys

   A_							:				List[Any]						=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



