
from __future__ import annotations






def      _A				(UpperCamelCase		:      Any      ,			UpperCamelCase		:      Tuple = None      ,			UpperCamelCase		:      Any = None )  ->None:



			'''simple docstring'''







			if start is None:
						lowerCamelCase__ :      str								=		0

			if end is None:
						lowerCamelCase__ :      int								=		len(UpperCamelCase__ ) - 1

			if start >= end:
						return

			lowerCamelCase__ :      Optional[int]								=		(start + end) // 2

			slowsort(UpperCamelCase__      ,			UpperCamelCase__      ,			UpperCamelCase__ )
			slowsort(UpperCamelCase__      ,			mid + 1      ,			UpperCamelCase__ )

			if sequence[end] < sequence[mid]:
						lowerCamelCase__							,lowerCamelCase__ :      int								=		sequence[mid], sequence[end]

			slowsort(UpperCamelCase__      ,			UpperCamelCase__      ,			end - 1 )


if __name__ == "__main__":
				from doctest import testmod

				testmod()








from ... import PretrainedConfig


_lowercase     							=						{
    '''sijunhe/nezha-cn-base''': '''https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json''',
}
class 				__A					( A_      ):
			UpperCamelCase					:Optional[Any]     =			NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
			UpperCamelCase					:int     =			'''nezha'''





			def __init__(self							,    __magic_name__=21128							,    __magic_name__=768							,    __magic_name__=12							,    __magic_name__=12							,    __magic_name__=3072							,    __magic_name__="gelu"							,    __magic_name__=0.1							,    __magic_name__=0.1							,    __magic_name__=512							,    __magic_name__=64							,    __magic_name__=2							,    __magic_name__=0.02							,    __magic_name__=1E-12							,    __magic_name__=0.1							,    __magic_name__=0							,    __magic_name__=2							,    __magic_name__=3							,    __magic_name__=True							,    **__magic_name__							,    ):
						super().__init__(pad_token_id=__magic_name__							,    bos_token_id=__magic_name__							,    eos_token_id=__magic_name__							,    **__magic_name__				)

						lowerCamelCase__ :      List[str]								=		vocab_size
						lowerCamelCase__ :      int								=		hidden_size
						lowerCamelCase__ :      int								=		num_hidden_layers
						lowerCamelCase__ :      Optional[int]								=		num_attention_heads
						lowerCamelCase__ :      Dict								=		hidden_act
						lowerCamelCase__ :      str								=		intermediate_size
						lowerCamelCase__ :      Optional[Any]								=		hidden_dropout_prob
						lowerCamelCase__ :      Dict								=		attention_probs_dropout_prob
						lowerCamelCase__ :      str								=		max_position_embeddings
						lowerCamelCase__ :      Optional[Any]								=		max_relative_position
						lowerCamelCase__ :      Optional[int]								=		type_vocab_size
						lowerCamelCase__ :      Optional[Any]								=		initializer_range
						lowerCamelCase__ :      Any								=		layer_norm_eps
						lowerCamelCase__ :      Union[str, Any]								=		classifier_dropout
						lowerCamelCase__ :      Union[str, Any]								=		use_cache



