





from __future__ import annotations







class 	__lowerCAmelCase      :





   def __init__(			self       ,      snake_case   )					->	None:
      """simple docstring"""





      a__						:    Dict   		=	data
      a__						:    Node | None   		=	None
      a__						:    Node | None   		=	None







def    _A	(   lowerCamelCase ):  # In Order traversal of the tree
   if tree:
      display(tree.left )
      print(tree.data )
      display(tree.right )






def    _A	(   lowerCamelCase ):
   return 1 + max(depth_of_tree(tree.left )				,			depth_of_tree(tree.right ) ) if tree else 0






def    _A	(   lowerCamelCase ):
   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    _A	(   ):  # Main function for testing.
   a__						:    List[str]   		=	Node(1 )
   a__						:    int   		=	Node(2 )
   a__						:    str   		=	Node(3 )
   a__						:    str   		=	Node(4 )
   a__						:    Optional[int]   		=	Node(5 )
   a__						:    Dict   		=	Node(6 )
   a__						:    Tuple   		=	Node(7 )
   a__						:    int   		=	Node(8 )
   a__						:    int   		=	Node(9 )

   print(is_full_binary_tree(lowerCamelCase ) )
   print(depth_of_tree(lowerCamelCase ) )
   print("Tree is: " )
   display(lowerCamelCase )


if __name__ == "__main__":
  main()








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


try:
  if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ...utils.dummy_torch_and_transformers_objects import (
      VersatileDiffusionDualGuidedPipeline,
      VersatileDiffusionImageVariationPipeline,
      VersatileDiffusionPipeline,
      VersatileDiffusionTextToImagePipeline,
  )
else:
  from .modeling_text_unet import UNetFlatConditionModel
  from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
  from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
  from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
  from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline

