


from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass


@dataclass
class 					lowerCAmelCase_ :
						lowerCamelCase_         =     42
						lowerCamelCase_         =     None
						lowerCamelCase_         =     None






snake_case__			 =						namedtuple('''CoinsDistribResult''', '''moves excess''')


def 				lowerCamelCase__	(      a	:   List[Any]				)    ->	int:





			"""simple docstring"""

			if root is None:
						return 0

			# Validation
			def count_nodes(a	:   Any				) -> int:
						if node is None:
									return 0

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

			def count_coins(a	:   Tuple				) -> int:
						if node is None:
									return 0

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

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

			# Main calculation
			def get_distrib(a	:   Optional[int]				) -> CoinsDistribResult:

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

						a__ :List[Any]						  =    get_distrib(node.left				)
						a__ :Tuple						  =    get_distrib(node.right				)

						a__ :Optional[Any]						  =    1 - left_distrib_excess
						a__ :Optional[int]						  =    1 - right_distrib_excess

						a__ :str						  =    (
						    left_distrib_moves
						    + right_distrib_moves
						    + abs(lowerCamelCase_				)
						    + abs(lowerCamelCase_				)
						)
						a__ :str						  =    node.data - coins_to_left - coins_to_right

						return CoinsDistribResult(lowerCamelCase_	,  lowerCamelCase_				)

			return get_distrib(lowerCamelCase_				)[0]


if __name__ == "__main__":
		import doctest

		doctest.testmod()






from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *


