
'''simple docstring'''







from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass






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







_lowercase :  Optional[int]    							=       namedtuple("CoinsDistribResult", "moves excess")
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: TreeNode | None							):



						"""simple docstring"""





						if root is None:
												return 0

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

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

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

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

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

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

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

												lowercase_						, lowercase_	:     Tuple													=       get_distrib(node.left							)
												lowercase_						, lowercase_	:     Dict													=       get_distrib(node.right							)

												lowercase_	:     Dict													=       1 - left_distrib_excess
												lowercase_	:     Optional[int]													=       1 - right_distrib_excess

												lowercase_	:     Tuple													=       (
												    left_distrib_moves
												    + right_distrib_moves
												    + abs(__SCREAMING_SNAKE_CASE							)
												    + abs(__SCREAMING_SNAKE_CASE							)
												)
												lowercase_	:     int													=       node.data - coins_to_left - coins_to_right

												return CoinsDistribResult(__SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE							)

						return get_distrib(__SCREAMING_SNAKE_CASE							)[0]


if __name__ == "__main__":
							import doctest

							doctest.testmod()





import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


_lowerCamelCase       :				Dict       =			logging.get_logger(__name__)




class    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase					):





	'''simple docstring'''



	def __init__(  self	:    Tuple			,  *lowercase	:    Optional[int]			,  **lowercase	:    Any	):


				'''simple docstring'''


				warnings.warn(
				    'The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
				    ' Please use ChineseCLIPImageProcessor instead.'			,  lowercase			,  )
				super().__init__(*lowercase			,  **lowercase	)