
"""simple docstring"""




from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass



@dataclass
class 	lowerCAmelCase_						:


				"""simple docstring"""



				__UpperCamelCase      :						int
				__UpperCamelCase      :						TreeNode | None					       =   None
				__UpperCamelCase      :						TreeNode | None					       =   None






UpperCAmelCase__      :    Optional[int]    							= namedtuple('CoinsDistribResult', 'moves excess')

def lowercase_  (   _snake_case						):

							if root is None:
														return 0

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

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

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

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

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

							# Main calculation
							def get_distrib(_snake_case						) -> CoinsDistribResult:

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

														SCREAMING_SNAKE_CASE__      ,      SCREAMING_SNAKE_CASE__						:       Optional[int]           =   get_distrib(node.left						)
														SCREAMING_SNAKE_CASE__      ,      SCREAMING_SNAKE_CASE__						:       str           =   get_distrib(node.right						)

														SCREAMING_SNAKE_CASE__						:       str           =   1 - left_distrib_excess
														SCREAMING_SNAKE_CASE__						:       int           =   1 - right_distrib_excess

														SCREAMING_SNAKE_CASE__						:       Tuple           =   (
														    left_distrib_moves
														    + right_distrib_moves
														    + abs(_snake_case						)
														    + abs(_snake_case						)
														)
														SCREAMING_SNAKE_CASE__						:       Any           =   node.data - coins_to_left - coins_to_right

														return CoinsDistribResult(_snake_case   ,_snake_case						)

							return get_distrib(_snake_case						)[0]


if __name__ == "__main__":
					import doctest

					doctest.testmod()







from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available, is_vision_available
from ...utils import OptionalDependencyNotAvailable


lowerCAmelCase_       	=	{'''configuration_dpt''': ['''DPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DPTConfig''']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	['''DPTFeatureExtractor''']
					lowerCAmelCase_       	=	['''DPTImageProcessor''']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	[
					    '''DPT_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''DPTForDepthEstimation''',
					    '''DPTForSemanticSegmentation''',
					    '''DPTModel''',
					    '''DPTPreTrainedModel''',
					]


if TYPE_CHECKING:
					from .configuration_dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_dpt import DPTFeatureExtractor
										from .image_processing_dpt import DPTImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_dpt import (
										    DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    DPTForDepthEstimation,
										    DPTForSemanticSegmentation,
										    DPTModel,
										    DPTPreTrainedModel,
										)


else:
					import sys

					lowerCAmelCase_       	=	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)