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


UpperCAmelCase_			    =							logging.get_logger(__name__)

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




class  __magic_name__  (		__a    ):





   """simple docstring"""




   lowerCAmelCase      :    Union[str, Any]  			=   '''mra'''



   def __init__(	self					:  Union[str, Any]		,  _lowercase					:  Optional[Any]=50_265		,  _lowercase					:  Union[str, Any]=768		,  _lowercase					:  Optional[int]=12		,  _lowercase					:  Optional[Any]=12		,  _lowercase					:  List[str]=3_072		,  _lowercase					:  Tuple="gelu"		,  _lowercase					:  List[str]=0.1		,  _lowercase					:  List[Any]=0.1		,  _lowercase					:  str=512		,  _lowercase					:  Optional[int]=1		,  _lowercase					:  str=0.02		,  _lowercase					:  Optional[Any]=1E-5		,  _lowercase					:  Union[str, Any]="absolute"		,  _lowercase					:  str=4		,  _lowercase					:  Optional[int]="full"		,  _lowercase					:  Tuple=0		,  _lowercase					:  int=0		,  _lowercase					:  int=1		,  _lowercase					:  int=0		,  _lowercase					:  str=2		,  **_lowercase					:  List[Any]		,  ):



    """simple docstring"""



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

    _UpperCamelCase:     Dict							= vocab_size
    _UpperCamelCase:     Tuple							= max_position_embeddings
    _UpperCamelCase:     List[Any]							= hidden_size
    _UpperCamelCase:     Dict							= num_hidden_layers
    _UpperCamelCase:     Union[str, Any]							= num_attention_heads
    _UpperCamelCase:     Optional[int]							= intermediate_size
    _UpperCamelCase:     Optional[Any]							= hidden_act
    _UpperCamelCase:     Union[str, Any]							= hidden_dropout_prob
    _UpperCamelCase:     Tuple							= attention_probs_dropout_prob
    _UpperCamelCase:     int							= initializer_range
    _UpperCamelCase:     Optional[int]							= type_vocab_size
    _UpperCamelCase:     Optional[int]							= layer_norm_eps
    _UpperCamelCase:     Optional[Any]							= position_embedding_type
    _UpperCamelCase:     int							= block_per_row
    _UpperCamelCase:     Any							= approx_mode
    _UpperCamelCase:     str							= initial_prior_first_n_blocks
    _UpperCamelCase:     Tuple							= initial_prior_diagonal_n_blocks
def       lowerCAmelCase_     (		lowercase:							float		)    ->				float:







 '''simple docstring'''

 if edge <= 0 or not isinstance(lowercase  ,					lowercase		):
  raise ValueError('''Length must be a positive.'''		)
 return 3 * ((25 + 10 * (5 ** (1 / 2))) ** (1 / 2)) * (edge**2)




def       lowerCAmelCase_     (		lowercase:							float		)    ->				float:







 '''simple docstring'''

 if edge <= 0 or not isinstance(lowercase  ,					lowercase		):
  raise ValueError('''Length must be a positive.'''		)
 return ((15 + (7 * (5 ** (1 / 2)))) / 4) * (edge**3)


if __name__ == "__main__":
  import doctest

  doctest.testmod()