




from __future__ import annotations




class     snake_case__							:
				"""simple docstring"""



				def __init__(      self				:     List[str]					,      __lowerCamelCase				:     int							)					->     None:
							a    =			data
							a    =			None
							a    =			None




def 			__magic_name__				( A		:					Node | None   ):  # In Order traversal of the tree






			'''simple docstring'''







			if tree:
						display(tree.left   )
						print(tree.data   )
						display(tree.right   )




def 			__magic_name__				( A		:					Node | None   ):






			'''simple docstring'''







			return 1 + max(depth_of_tree(tree.left   ),  depth_of_tree(tree.right   )   ) if tree else 0




def 			__magic_name__				( A		:					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 			__magic_name__				( ):  # Main function for testing.






			'''simple docstring'''







			a    =			Node(1   )
			a    =			Node(2   )
			a    =			Node(3   )
			a    =			Node(4   )
			a    =			Node(5   )
			a    =			Node(6   )
			a    =			Node(7   )
			a    =			Node(8   )
			a    =			Node(9   )

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


if __name__ == "__main__":
		main()











"""simple docstring"""

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__    :  str							    =	{
    '''configuration_x_clip''': [
        '''XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''XCLIPConfig''',
        '''XCLIPTextConfig''',
        '''XCLIPVisionConfig''',
    ],
    '''processing_x_clip''': ['''XCLIPProcessor'''],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowercase__    :  Tuple							    =	[
         '''XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''XCLIPModel''',
         '''XCLIPPreTrainedModel''',
         '''XCLIPTextModel''',
         '''XCLIPVisionModel''',
     ]

if TYPE_CHECKING:
     from .configuration_x_clip import (
         XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
         XCLIPConfig,
         XCLIPTextConfig,
         XCLIPVisionConfig,
     )
     from .processing_x_clip import XCLIPProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_x_clip import (
              XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
              XCLIPModel,
              XCLIPPreTrainedModel,
              XCLIPTextModel,
              XCLIPVisionModel,
          )

else:
     import sys

     lowercase__    :  Tuple							    =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





