


'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase						=					logging.get_logger(__name__)

lowerCAmelCase						=					{
    """uw-madison/mra-base-512-4""": """https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json""",
}






class        lowerCAmelCase_  (     UpperCAmelCase	):
       __UpperCAmelCase					='mra'






       def __init__( self			,     _UpperCamelCase=5_0265			,     _UpperCamelCase=768			,     _UpperCamelCase=12			,     _UpperCamelCase=12			,     _UpperCamelCase=3072			,     _UpperCamelCase="gelu"			,     _UpperCamelCase=0.1			,     _UpperCamelCase=0.1			,     _UpperCamelCase=512			,     _UpperCamelCase=1			,     _UpperCamelCase=0.02			,     _UpperCamelCase=1e-5			,     _UpperCamelCase="absolute"			,     _UpperCamelCase=4			,     _UpperCamelCase="full"			,     _UpperCamelCase=0			,     _UpperCamelCase=0			,     _UpperCamelCase=1			,     _UpperCamelCase=0			,     _UpperCamelCase=2			,     **_UpperCamelCase			,     )->      List[Any]:
            super().__init__(pad_token_id=_UpperCamelCase			,     bos_token_id=_UpperCamelCase			,     eos_token_id=_UpperCamelCase			,     **_UpperCamelCase   )

            _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				=							position_embedding_type
            _A				=							block_per_row
            _A				=							approx_mode
            _A				=							initial_prior_first_n_blocks
            _A				=							initial_prior_diagonal_n_blocks









'''simple docstring'''
from statistics import mean, stdev

def 					lowerCamelCase_ ( __UpperCamelCase					:       list							,    __UpperCamelCase					:       int = 3		)					->	list:







     """simple docstring"""
     _A				=							min(__UpperCamelCase		)
     _A				=							max(__UpperCamelCase		)
     # normalize data
     return [round((x - x_min) / (x_max - x_min)							,    __UpperCamelCase		) for x in data]

def 					lowerCamelCase_ ( __UpperCamelCase					:       list							,    __UpperCamelCase					:       int = 3		)					->	list:







     """simple docstring"""
     _A				=							mean(__UpperCamelCase		)
     _A				=							stdev(__UpperCamelCase		)
     # standardize data
     return [round((x - mu) / (sigma)							,    __UpperCamelCase		) for x in data]





