


from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass


@dataclass
class 			lowerCamelCase_  :






    '''simple docstring'''






    a__			:		int
    a__			:		TreeNode | None      			=   None
    a__			:		TreeNode | None      			=   None
__lowercase											=      namedtuple('''CoinsDistribResult''', '''moves excess''')



def lowerCamelCase						(     SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    if root is None:
        return 0

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

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

    def count_coins(SCREAMING_SNAKE_CASE			) -> 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			) -> CoinsDistribResult:

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

        __UpperCamelCase  :List[str]    						=	get_distrib(node.left			)
        __UpperCamelCase  :Tuple    						=	get_distrib(node.right			)

        __UpperCamelCase  :List[str]    						=	1 - left_distrib_excess
        __UpperCamelCase  :int    						=	1 - right_distrib_excess

        __UpperCamelCase  :Optional[int]    						=	(
            left_distrib_moves
            + right_distrib_moves
            + abs(SCREAMING_SNAKE_CASE			)
            + abs(SCREAMING_SNAKE_CASE			)
        )
        __UpperCamelCase  :Dict    						=	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()






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_speech_available, is_torch_available


__lowercase											=      {
    '''configuration_audio_spectrogram_transformer''': [
        '''AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''ASTConfig''',
    ]
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowercase											=      [
        '''AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''ASTForAudioClassification''',
        '''ASTModel''',
        '''ASTPreTrainedModel''',
    ]

try:
    if not is_speech_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowercase											=      ['''ASTFeatureExtractor''']

if TYPE_CHECKING:
    from .configuration_audio_spectrogram_transformer import (
        AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ASTConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_audio_spectrogram_transformer import (
            AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ASTForAudioClassification,
            ASTModel,
            ASTPreTrainedModel,
        )

    try:
        if not is_speech_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_audio_spectrogram_transformer import ASTFeatureExtractor


else:
    import sys

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





