


from __future__ import annotations







class 		_snake_case  :




 def __init__(		self ,  _lowerCamelCase   ):
       a						:List[str]										=	data
       a						:Node | None										=	None
       a						:Node | None										=	None







def     __lowerCamelCase						(			UpperCAmelCase_						:		Node | None						):  # In Order traversal of the tree




      """simple docstring"""





      if tree:
            display(tree.left						)
            print(tree.data						)
            display(tree.right						)
def     __lowerCamelCase						(			UpperCAmelCase_						:		Node | None						):




      """simple docstring"""





      return 1 + max(depth_of_tree(tree.left						)			,  depth_of_tree(tree.right						)						) if tree else 0
def     __lowerCamelCase						(			UpperCAmelCase_						:		Node						):




      """simple docstring"""





      if not tree:
            return True
      if tree.left and tree.right:
            return is_full_binary_tree(tree.left						) and is_full_binary_tree(tree.right						)
      else:
            return not tree.left and not tree.right
def     __lowerCamelCase						(			):  # Main function for testing.




      """simple docstring"""





      a						:Any										=	Node(1						)
      a						:Tuple										=	Node(2						)
      a						:Optional[Any]										=	Node(3						)
      a						:int										=	Node(4						)
      a						:Union[str, Any]										=	Node(5						)
      a						:Dict										=	Node(6						)
      a						:List[Any]										=	Node(7						)
      a						:Dict										=	Node(8						)
      a						:List[str]										=	Node(9						)

      print(is_full_binary_tree(UpperCAmelCase_						)						)
      print(depth_of_tree(UpperCAmelCase_						)						)
      print('''Tree is: '''						)
      display(UpperCAmelCase_						)


if __name__ == "__main__":
     main()









from ...utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_torch_available,
    is_transformers_available,
)


try:
     if not (is_transformers_available() and is_torch_available()):
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
     from .multicontrolnet import MultiControlNetModel
     from .pipeline_controlnet import StableDiffusionControlNetPipeline
     from .pipeline_controlnet_imgaimg import StableDiffusionControlNetImgaImgPipeline
     from .pipeline_controlnet_inpaint import StableDiffusionControlNetInpaintPipeline


if is_transformers_available() and is_flax_available():
     from .pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline





