
from __future__ import annotations

_A   =     10






def    lowerCamelCase__				(				__lowerCAmelCase  :  list[int]				):




			"""simple docstring"""


			lowerCAmelCase_						=	1
			lowerCAmelCase_						=	max(__lowerCAmelCase				)
			while placement <= max_digit:
						# declare and initialize empty buckets
						lowerCAmelCase_						=	[[] for _ in range(__lowerCAmelCase				)]
						# split list_of_ints between the buckets
						for i in list_of_ints:
									lowerCAmelCase_						=	int((i / placement) % RADIX				)
									buckets[tmp].append(__lowerCAmelCase				)
						# put each buckets' contents into list_of_ints
						lowerCAmelCase_						=	0
						for b in range(__lowerCAmelCase				):
									for i in buckets[b]:
												lowerCAmelCase_						=	i
												a += 1
        # move to next
						placement *= RADIX
			return list_of_ints


if __name__ == "__main__":
			import doctest

			doctest.testmod()





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


_A   =     logging.get_logger(__name__)

_A   =     {
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}





class 	_lowerCAmelCase					(	__a       ):
				_lowercase					='''megatron-bert'''




				def __init__(					self				,				_UpperCamelCase=29_056				,				_UpperCamelCase=1_024				,				_UpperCamelCase=24				,				_UpperCamelCase=16				,				_UpperCamelCase=4_096				,				_UpperCamelCase="gelu"				,				_UpperCamelCase=0.1				,				_UpperCamelCase=0.1				,				_UpperCamelCase=512				,				_UpperCamelCase=2				,				_UpperCamelCase=0.02				,				_UpperCamelCase=1e-1_2				,				_UpperCamelCase=0				,				_UpperCamelCase="absolute"				,				_UpperCamelCase=True				,				**_UpperCamelCase				,				)				->      int:
							super().__init__(pad_token_id=_UpperCamelCase				,				**_UpperCamelCase     )

							lowerCAmelCase_						=	vocab_size
							lowerCAmelCase_						=	hidden_size
							lowerCAmelCase_						=	num_hidden_layers
							lowerCAmelCase_						=	num_attention_heads
							lowerCAmelCase_						=	hidden_act
							lowerCAmelCase_						=	intermediate_size
							lowerCAmelCase_						=	hidden_dropout_prob
							lowerCAmelCase_						=	attention_probs_dropout_prob
							lowerCAmelCase_						=	max_position_embeddings
							lowerCAmelCase_						=	type_vocab_size
							lowerCAmelCase_						=	initializer_range
							lowerCAmelCase_						=	layer_norm_eps
							lowerCAmelCase_						=	position_embedding_type
							lowerCAmelCase_						=	use_cache



