


'''simple docstring'''

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


lowercase__					  =		logging.get_logger(__name__)

lowercase__					  =		{
    "uw-madison/nystromformer-512": "https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}





class     __SCREAMING_SNAKE_CASE       (   lowerCamelCase__			):
     UpperCAmelCase			       =					'''nystromformer'''






     def __init__(      self  ,				__UpperCamelCase=30_000  ,				__UpperCamelCase=768  ,				__UpperCamelCase=12  ,				__UpperCamelCase=12  ,				__UpperCamelCase=3_072  ,				__UpperCamelCase="gelu_new"  ,				__UpperCamelCase=0.1  ,				__UpperCamelCase=0.1  ,				__UpperCamelCase=510  ,				__UpperCamelCase=2  ,				__UpperCamelCase=64  ,				__UpperCamelCase=64  ,				__UpperCamelCase=65  ,				__UpperCamelCase=False  ,				__UpperCamelCase=0.02  ,				__UpperCamelCase=1e-5  ,				__UpperCamelCase=1  ,				__UpperCamelCase=0  ,				__UpperCamelCase=2  ,				**__UpperCamelCase  ,				)							->     Dict:
          _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            =		segment_means_seq_len
          _a            =		num_landmarks
          _a            =		conv_kernel_size
          _a            =		inv_coeff_init_option
          _a            =		layer_norm_eps
          super().__init__(pad_token_id=__UpperCamelCase  ,				bos_token_id=__UpperCamelCase  ,				eos_token_id=__UpperCamelCase  ,				**__UpperCamelCase		)





'''simple docstring'''

def __UpperCamelCase (      __lowerCamelCase		:			float   ,	__lowerCamelCase		:			float   ,	__lowerCamelCase		:			float					)   ->  float:







     '''simple docstring'''






     if mass < 0:
          raise ValueError("The mass of the body cannot be negative"					)
     if radius <= 0:
          raise ValueError("The radius is always a positive non zero integer"					)
     return (mass * (velocity) ** 2) / radius


if __name__ == "__main__":
   import doctest

   doctest.testmod(verbose=True)

