
"""simple docstring"""



from __future__ import annotations
class        _SCREAMING_SNAKE_CASE  :






				'''simple docstring'''



				def __init__(					self	:			List[str]				,     UpperCAmelCase_	:			int  )		->  None:







											"""simple docstring"""




											_lowerCAmelCase  	=			data
											_lowerCAmelCase  	=			None
											_lowerCAmelCase  	=			None






def 	__snake_case  (    SCREAMING_SNAKE_CASE:					Node | None						):  # In Order traversal of the tree






							"""simple docstring"""



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






def 	__snake_case  (    SCREAMING_SNAKE_CASE:					Node | None						):






							"""simple docstring"""



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






def 	__snake_case  (    SCREAMING_SNAKE_CASE:					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 	__snake_case  (    ):  # Main function for testing.






							"""simple docstring"""



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

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


if __name__ == "__main__":
	main()



"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_snake_case          =						logging.get_logger(__name__)

_snake_case          =						{
    '''google/mobilenet_v1_1.0_224''': '''https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json''',
    '''google/mobilenet_v1_0.75_192''': '''https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json''',
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}
class        _SCREAMING_SNAKE_CASE  (  UpperCAmelCase							):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE_:							Dict							=					"mobilenet_v1"


				def __init__(					self	:			List[Any]				,     UpperCAmelCase_	:			Optional[int]=3				,     UpperCAmelCase_	:			str=224				,     UpperCAmelCase_	:			Union[str, Any]=1.0				,     UpperCAmelCase_	:			List[str]=8				,     UpperCAmelCase_	:			Union[str, Any]="relu6"				,     UpperCAmelCase_	:			Optional[Any]=True				,     UpperCAmelCase_	:			Optional[int]=0.999				,     UpperCAmelCase_	:			Optional[Any]=0.02				,     UpperCAmelCase_	:			Union[str, Any]=0.001				,     **UpperCAmelCase_	:			List[Any]				,     )		->  Dict:







											"""simple docstring"""




											super().__init__(**UpperCAmelCase_  )

											if depth_multiplier <= 0:
																		raise ValueError('depth_multiplier must be greater than zero.'  )

											_lowerCAmelCase  	=			num_channels
											_lowerCAmelCase  	=			image_size
											_lowerCAmelCase  	=			depth_multiplier
											_lowerCAmelCase  	=			min_depth
											_lowerCAmelCase  	=			hidden_act
											_lowerCAmelCase  	=			tf_padding
											_lowerCAmelCase  	=			classifier_dropout_prob
											_lowerCAmelCase  	=			initializer_range
											_lowerCAmelCase  	=			layer_norm_eps






class        _SCREAMING_SNAKE_CASE  (  UpperCAmelCase							):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE_:							Optional[int]							=					version.parse("1.11"							)


				@property
				def 				__lowerCamelCase	(					self	:			List[str]  )		->  Mapping[str, Mapping[int, str]]:







											"""simple docstring"""




											return OrderedDict([('pixel_values', {0: 'batch'})]  )


				@property
				def 				__lowerCamelCase	(					self	:			Dict  )		->  Mapping[str, Mapping[int, str]]:







											"""simple docstring"""




											if self.task == "image-classification":
																		return OrderedDict([('logits', {0: 'batch'})]  )
											else:
																		return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})]  )







				@property
				def 				__lowerCamelCase	(					self	:			Optional[Any]  )		->  float:







											"""simple docstring"""




											return 1E-4






