


from __future__ import annotations
class 	lowerCamelCase_       :



					'''simple docstring'''







					def __init__(				self ,       snake_case_						)   ->			None:







								'''simple docstring'''

								__lowercase 					=   data
								__lowercase 					=   None
								__lowercase 					=   None




def 		lowercase_  (     _UpperCamelCase  ):  # In Order traversal of the tree


			'''simple docstring'''







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


def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







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


def 		lowercase_  (     _UpperCamelCase  ):


			'''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 		lowercase_  (     ):  # Main function for testing.


			'''simple docstring'''







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

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


if __name__ == "__main__":
	main()






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a : List[str]		=				{
    '''configuration_table_transformer''': [
        '''TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''TableTransformerConfig''',
        '''TableTransformerOnnxConfig''',
    ]
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a : Union[str, Any]		=				[
	    '''TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TableTransformerForObjectDetection''',
	    '''TableTransformerModel''',
	    '''TableTransformerPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_table_transformer import (
	    TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    TableTransformerConfig,
	    TableTransformerOnnxConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_table_transformer import (
		    TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TableTransformerForObjectDetection,
		    TableTransformerModel,
		    TableTransformerPreTrainedModel,
		)

else:
	import sys

	a : Any		=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


