
"""simple docstring"""



import operator






def 	__snake_case  (    SCREAMING_SNAKE_CASE:					list     ,  SCREAMING_SNAKE_CASE:					bool = False     ,  SCREAMING_SNAKE_CASE:					list | None = None						):






							"""simple docstring"""



							_lowerCAmelCase  	=			operator.lt if reverse else operator.gt
							_lowerCAmelCase  	=			solution or []

							if not arr:
														return solution

							_lowerCAmelCase  	=			[arr.pop(0						)]
							for i, item in enumerate(SCREAMING_SNAKE_CASE						):
														if _operator(SCREAMING_SNAKE_CASE     ,  sublist[-1]						):
																					sublist.append(SCREAMING_SNAKE_CASE						)
																					arr.pop(SCREAMING_SNAKE_CASE						)

    #  merging sublist into solution list
							if not solution:
														solution.extend(SCREAMING_SNAKE_CASE						)
							else:
														while sublist:
																					_lowerCAmelCase  	=			sublist.pop(0						)
																					for i, xx in enumerate(SCREAMING_SNAKE_CASE						):
																												if not _operator(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						):
																																			solution.insert(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						)
																																			break
																					else:
																												solution.append(SCREAMING_SNAKE_CASE						)

							strand_sort(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						)
							return solution


if __name__ == "__main__":
	assert strand_sort([4, 3, 5, 1, 2]) == [1, 2, 3, 4, 5]
	assert strand_sort([4, 3, 5, 1, 2], reverse=True) == [5, 4, 3, 2, 1]








"""simple docstring"""



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


_snake_case          =						logging.get_logger(__name__)

_snake_case          =						{
    '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json''',
}
class        _SCREAMING_SNAKE_CASE  (  UpperCAmelCase							):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE_:							Dict							=					"gpt_neox_japanese"


				def __init__(					self	:			Optional[Any]				,     UpperCAmelCase_	:			Any=32_000				,     UpperCAmelCase_	:			Dict=2_560				,     UpperCAmelCase_	:			Union[str, Any]=32				,     UpperCAmelCase_	:			Any=32				,     UpperCAmelCase_	:			Optional[Any]=4				,     UpperCAmelCase_	:			int="gelu"				,     UpperCAmelCase_	:			Union[str, Any]=1.00				,     UpperCAmelCase_	:			Any=10_000				,     UpperCAmelCase_	:			Optional[int]=2_048				,     UpperCAmelCase_	:			Optional[Any]=0.02				,     UpperCAmelCase_	:			Tuple=1E-5				,     UpperCAmelCase_	:			int=True				,     UpperCAmelCase_	:			Tuple=31_996				,     UpperCAmelCase_	:			List[Any]=31_999				,     UpperCAmelCase_	:			str=0.1				,     UpperCAmelCase_	:			List[Any]=0.0				,     **UpperCAmelCase_	:			str				,     )		->  int:







											"""simple docstring"""




											super().__init__(bos_token_id=UpperCAmelCase_				,     eos_token_id=UpperCAmelCase_				,     **UpperCAmelCase_  )
											_lowerCAmelCase  	=			vocab_size
											_lowerCAmelCase  	=			max_position_embeddings
											_lowerCAmelCase  	=			hidden_size
											_lowerCAmelCase  	=			num_hidden_layers
											_lowerCAmelCase  	=			num_attention_heads
											_lowerCAmelCase  	=			intermediate_multiple_size
											_lowerCAmelCase  	=			hidden_act
											_lowerCAmelCase  	=			rotary_pct
											_lowerCAmelCase  	=			rotary_emb_base
											_lowerCAmelCase  	=			initializer_range
											_lowerCAmelCase  	=			layer_norm_eps
											_lowerCAmelCase  	=			use_cache
											_lowerCAmelCase  	=			attention_dropout
											_lowerCAmelCase  	=			hidden_dropout






