

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__snake_case						:int						=					logging.get_logger(__name__)

__snake_case						:Union[str, Any]						=					{
    '''weiweishi/roc-bert-base-zh''': '''https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json''',
}

class    _A	(     lowerCamelCase__   ):
       UpperCamelCase__  :   str						 =						'''roc_bert'''



       def __init__(		self							:					Optional[Any]					,		__SCREAMING_SNAKE_CASE							:					Any=30_522					,		__SCREAMING_SNAKE_CASE							:					Optional[Any]=768					,		__SCREAMING_SNAKE_CASE							:					Optional[int]=12					,		__SCREAMING_SNAKE_CASE							:					str=12					,		__SCREAMING_SNAKE_CASE							:					Optional[Any]=3_072					,		__SCREAMING_SNAKE_CASE							:					List[str]="gelu"					,		__SCREAMING_SNAKE_CASE							:					str=0.1					,		__SCREAMING_SNAKE_CASE							:					str=0.1					,		__SCREAMING_SNAKE_CASE							:					Any=512					,		__SCREAMING_SNAKE_CASE							:					List[str]=2					,		__SCREAMING_SNAKE_CASE							:					str=0.02					,		__SCREAMING_SNAKE_CASE							:					str=1E-12					,		__SCREAMING_SNAKE_CASE							:					List[Any]=True					,		__SCREAMING_SNAKE_CASE							:					str=0					,		__SCREAMING_SNAKE_CASE							:					str="absolute"					,		__SCREAMING_SNAKE_CASE							:					str=None					,		__SCREAMING_SNAKE_CASE							:					Optional[int]=True					,		__SCREAMING_SNAKE_CASE							:					Any=True					,		__SCREAMING_SNAKE_CASE							:					List[Any]=768					,		__SCREAMING_SNAKE_CASE							:					Dict=910					,		__SCREAMING_SNAKE_CASE							:					str=512					,		__SCREAMING_SNAKE_CASE							:					int=24_858					,		__SCREAMING_SNAKE_CASE							:					Optional[int]=True					,		**__SCREAMING_SNAKE_CASE							:					List[Any]					,		):


           '''simple docstring'''

           __a							=    vocab_size
           __a							=    max_position_embeddings
           __a							=    hidden_size
           __a							=    num_hidden_layers
           __a							=    num_attention_heads
           __a							=    intermediate_size
           __a							=    hidden_act
           __a							=    hidden_dropout_prob
           __a							=    attention_probs_dropout_prob
           __a							=    initializer_range
           __a							=    type_vocab_size
           __a							=    layer_norm_eps
           __a							=    use_cache
           __a							=    enable_pronunciation
           __a							=    enable_shape
           __a							=    pronunciation_embed_dim
           __a							=    pronunciation_vocab_size
           __a							=    shape_embed_dim
           __a							=    shape_vocab_size
           __a							=    concat_input
           __a							=    position_embedding_type
           __a							=    classifier_dropout
           super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE					,		**__SCREAMING_SNAKE_CASE)










from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass

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


__snake_case						:Optional[Any]						=					namedtuple('''CoinsDistribResult''', '''moves excess''')





def 					__snake_case     (      _UpperCAmelCase    ):

    if root is None:
        return 0

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

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

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

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

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

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

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

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

        __a							=    1 - left_distrib_excess
        __a							=    1 - right_distrib_excess

        __a							=    (
            left_distrib_moves
            + right_distrib_moves
            + abs(_UpperCAmelCase    )
            + abs(_UpperCAmelCase    )
        )
        __a							=    node.data - coins_to_left - coins_to_right

        return CoinsDistribResult(_UpperCAmelCase       ,			_UpperCAmelCase    )

    return get_distrib(_UpperCAmelCase    )[0]


if __name__ == "__main__":
 import doctest

 doctest.testmod()





