


'''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


_lowercase      :      Optional[int]            =  logging.get_logger(__name__)

_lowercase      :      Dict            =  {
    """facebook/levit-128S""": """https://huggingface.co/facebook/levit-128S/resolve/main/config.json""",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}






class 	UpperCamelCase__(       a__	):
				__magic_name__    :				List[str]  		=	"levit"




				def __init__(		self      :			int				,   lowerCAmelCase      :			List[Any]=224				,   lowerCAmelCase      :			Union[str, Any]=3				,   lowerCAmelCase      :			int=3				,   lowerCAmelCase      :			Tuple=2				,   lowerCAmelCase      :			Optional[int]=1				,   lowerCAmelCase      :			List[str]=16				,   lowerCAmelCase      :			Tuple=[128, 256, 384]				,   lowerCAmelCase      :			List[str]=[4, 8, 12]				,   lowerCAmelCase      :			Optional[int]=[4, 4, 4]				,   lowerCAmelCase      :			Union[str, Any]=[16, 16, 16]				,   lowerCAmelCase      :			int=0				,   lowerCAmelCase      :			Union[str, Any]=[2, 2, 2]				,   lowerCAmelCase      :			Optional[Any]=[2, 2, 2]				,   lowerCAmelCase      :			Optional[Any]=0.02				,   **lowerCAmelCase      :			List[Any]				,   )->					Union[str, Any]:

										"""simple docstring"""




										super().__init__(**_lowerCamelCase				)
										UpperCAmelCase					    =     image_size
										UpperCAmelCase					    =     num_channels
										UpperCAmelCase					    =     kernel_size
										UpperCAmelCase					    =     stride
										UpperCAmelCase					    =     padding
										UpperCAmelCase					    =     hidden_sizes
										UpperCAmelCase					    =     num_attention_heads
										UpperCAmelCase					    =     depths
										UpperCAmelCase					    =     key_dim
										UpperCAmelCase					    =     drop_path_rate
										UpperCAmelCase					    =     patch_size
										UpperCAmelCase					    =     attention_ratio
										UpperCAmelCase					    =     mlp_ratio
										UpperCAmelCase					    =     initializer_range
										UpperCAmelCase					    =     [
										    ['''Subsample''', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
										    ['''Subsample''', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
										]







class 	UpperCamelCase__(       a__	):
				__magic_name__    :				Optional[Any]  		=	version.parse("1.11"	)




				@property
				def 					a__(		self      :			Optional[int]				)->					int:

										"""simple docstring"""




										return OrderedDict(
										    [
										        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
										    ]				)





				@property
				def 					a__(		self      :			int				)->					List[str]:

										"""simple docstring"""




										return 1E-4









'''simple docstring'''



from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass






@dataclass
class 	UpperCamelCase__:
				__magic_name__    :				int
				__magic_name__    :				TreeNode | None  		=	None
				__magic_name__    :				TreeNode | None  		=	None







_lowercase      :      Tuple            =					namedtuple("""CoinsDistribResult""", """moves excess""")


def 				lowerCamelCase__				(	A       :      TreeNode | None					):




						'''simple docstring'''






						if root is None:
												return 0

						# Validation
						def count_nodes(A       :      TreeNode | None					) -> int:
												if node is None:
																		return 0

												return count_nodes(node.left					) + count_nodes(node.right					) + 1

						def count_coins(A       :      TreeNode | None					) -> int:
												if node is None:
																		return 0

												return count_coins(node.left					) + count_coins(node.right					) + node.data

						if count_nodes(A					) != count_coins(A					):
												raise ValueError('''The nodes number should be same as the number of coins'''					)

						# Main calculation
						def get_distrib(A       :      TreeNode | None					) -> CoinsDistribResult:

												if node is None:
																		return CoinsDistribResult(0				,       1					)

												UpperCAmelCase    ,    UpperCAmelCase					    =     get_distrib(node.left					)
												UpperCAmelCase    ,    UpperCAmelCase					    =     get_distrib(node.right					)

												UpperCAmelCase					    =     1 - left_distrib_excess
												UpperCAmelCase					    =     1 - right_distrib_excess

												UpperCAmelCase					    =     (
												    left_distrib_moves
												    + right_distrib_moves
												    + abs(A					)
												    + abs(A					)
												)
												UpperCAmelCase					    =     node.data - coins_to_left - coins_to_right

												return CoinsDistribResult(A				,       A					)

						return get_distrib(A					)[0]


if __name__ == "__main__":
	import doctest

	doctest.testmod()





