






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


__snake_case         =     logging.get_logger(__name__)

__snake_case         =     {
    """EleutherAI/gpt-neox-20b""": """https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json""",
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}


class     __SCREAMING_SNAKE_CASE					(   __lowercase):
						_SCREAMING_SNAKE_CASE	:       Union[str, Any]   =					'''gpt_neox'''






						def __init__(	self     ,						_UpperCamelCase=5_04_32     ,						_UpperCamelCase=61_44     ,						_UpperCamelCase=44     ,						_UpperCamelCase=64     ,						_UpperCamelCase=2_45_76     ,						_UpperCamelCase="gelu"     ,						_UpperCamelCase=0.25     ,						_UpperCamelCase=1_00_00     ,						_UpperCamelCase=0.0     ,						_UpperCamelCase=0.0     ,						_UpperCamelCase=0.1     ,						_UpperCamelCase=20_48     ,						_UpperCamelCase=0.02     ,						_UpperCamelCase=1E-5     ,						_UpperCamelCase=True     ,						_UpperCamelCase=0     ,						_UpperCamelCase=2     ,						_UpperCamelCase=False     ,						_UpperCamelCase=True     ,						_UpperCamelCase=None     ,						**_UpperCamelCase     ,						):






												"""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_size
												lowerCAmelCase__    						=						hidden_act
												lowerCAmelCase__    						=						rotary_pct
												lowerCAmelCase__    						=						rotary_emb_base
												lowerCAmelCase__    						=						attention_dropout
												lowerCAmelCase__    						=						hidden_dropout
												lowerCAmelCase__    						=						classifier_dropout
												lowerCAmelCase__    						=						initializer_range
												lowerCAmelCase__    						=						layer_norm_eps
												lowerCAmelCase__    						=						use_cache
												lowerCAmelCase__    						=						tie_word_embeddings
												lowerCAmelCase__    						=						use_parallel_residual
												lowerCAmelCase__    						=						rope_scaling
												self._rope_scaling_validation()

												if self.hidden_size % self.num_attention_heads != 0:
																		raise ValueError(
																		    'The hidden size is not divisble by the number of attention heads! Make sure to update them!'   )







						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												if self.rope_scaling is None:
																		return

												if not isinstance(self.rope_scaling     ,						_UpperCamelCase   ) or len(self.rope_scaling   ) != 2:
																		raise ValueError(
																		    '`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '
																		    F"got {self.rope_scaling}"   )
												lowerCAmelCase__    						=						self.rope_scaling.get('type'     ,						_UpperCamelCase   )
												lowerCAmelCase__    						=						self.rope_scaling.get('factor'     ,						_UpperCamelCase   )
												if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
																		raise ValueError(
																		    F"`rope_scaling`'s name field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"   )
												if rope_scaling_factor is None or not isinstance(_UpperCamelCase     ,						_UpperCamelCase   ) or rope_scaling_factor <= 1.0:
																		raise ValueError(F"`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"   )













def 	_UpperCamelCase   (    UpperCamelCase_       :					int		)  ->   int:

						"""simple docstring"""



						if not isinstance(UpperCamelCase_    ,       UpperCamelCase_		):
												raise ValueError('multiplicative_persistence() only accepts integral values'		)
						if num < 0:
												raise ValueError('multiplicative_persistence() does not accept negative values'		)

						lowerCAmelCase__    						=						0
						lowerCAmelCase__    						=						str(UpperCamelCase_		)

						while len(UpperCamelCase_		) != 1:
												lowerCAmelCase__    						=						[int(UpperCamelCase_		) for i in num_string]

												lowerCAmelCase__    						=						1
												for i in range(0    ,       len(UpperCamelCase_		)		):
																		total *= numbers[i]

												lowerCAmelCase__    						=						str(UpperCamelCase_		)

												steps += 1
						return steps







def 	_UpperCamelCase   (    UpperCamelCase_       :					int		)  ->   int:

						"""simple docstring"""



						if not isinstance(UpperCamelCase_    ,       UpperCamelCase_		):
												raise ValueError('additive_persistence() only accepts integral values'		)
						if num < 0:
												raise ValueError('additive_persistence() does not accept negative values'		)

						lowerCAmelCase__    						=						0
						lowerCAmelCase__    						=						str(UpperCamelCase_		)

						while len(UpperCamelCase_		) != 1:
												lowerCAmelCase__    						=						[int(UpperCamelCase_		) for i in num_string]

												lowerCAmelCase__    						=						0
												for i in range(0    ,       len(UpperCamelCase_		)		):
																		total += numbers[i]

												lowerCAmelCase__    						=						str(UpperCamelCase_		)

												steps += 1
						return steps


if __name__ == "__main__":
					import doctest

					doctest.testmod()





