






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


SCREAMING_SNAKE_CASE__											=     logging.get_logger(__name__)

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






class        a_		(    lowerCamelCase       ):
  lowercase  	=   """mra"""

  def __init__(   self    ,	_SCREAMING_SNAKE_CASE=50265    ,	_SCREAMING_SNAKE_CASE=768    ,	_SCREAMING_SNAKE_CASE=12    ,	_SCREAMING_SNAKE_CASE=12    ,	_SCREAMING_SNAKE_CASE=3072    ,	_SCREAMING_SNAKE_CASE="gelu"    ,	_SCREAMING_SNAKE_CASE=0.1    ,	_SCREAMING_SNAKE_CASE=0.1    ,	_SCREAMING_SNAKE_CASE=512    ,	_SCREAMING_SNAKE_CASE=1    ,	_SCREAMING_SNAKE_CASE=0.0_2    ,	_SCREAMING_SNAKE_CASE=1e-5    ,	_SCREAMING_SNAKE_CASE="absolute"    ,	_SCREAMING_SNAKE_CASE=4    ,	_SCREAMING_SNAKE_CASE="full"    ,	_SCREAMING_SNAKE_CASE=0    ,	_SCREAMING_SNAKE_CASE=0    ,	_SCREAMING_SNAKE_CASE=1    ,	_SCREAMING_SNAKE_CASE=0    ,	_SCREAMING_SNAKE_CASE=2    ,	**_SCREAMING_SNAKE_CASE    ,	)						->   Optional[Any]:



        """simple docstring"""






        super().__init__(pad_token_id=UpperCAmelCase__    ,	bos_token_id=UpperCAmelCase__    ,	eos_token_id=UpperCAmelCase__    ,	**UpperCAmelCase__   )

        UpperCamelCase       						=      vocab_size
        UpperCamelCase       						=      max_position_embeddings
        UpperCamelCase       						=      hidden_size
        UpperCamelCase       						=      num_hidden_layers
        UpperCamelCase       						=      num_attention_heads
        UpperCamelCase       						=      intermediate_size
        UpperCamelCase       						=      hidden_act
        UpperCamelCase       						=      hidden_dropout_prob
        UpperCamelCase       						=      attention_probs_dropout_prob
        UpperCamelCase       						=      initializer_range
        UpperCamelCase       						=      type_vocab_size
        UpperCamelCase       						=      layer_norm_eps
        UpperCamelCase       						=      position_embedding_type
        UpperCamelCase       						=      block_per_row
        UpperCamelCase       						=      approx_mode
        UpperCamelCase       						=      initial_prior_first_n_blocks
        UpperCamelCase       						=      initial_prior_diagonal_n_blocks








'''simple docstring'''

from __future__ import annotations







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase	,		__UpperCamelCase					)->				dict[str, float]:
      if (voltage, current, resistance).count(0					) != 1:
            raise ValueError("""One and only one argument must be 0"""					)
      if resistance < 0:
            raise ValueError("""Resistance cannot be negative"""					)
      if voltage == 0:
            return {"voltage": float(current * resistance					)}
      elif current == 0:
            return {"current": voltage / resistance}
      elif resistance == 0:
            return {"resistance": voltage / current}
      else:
            raise ValueError("""Exactly one argument must be 0"""					)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
