



'''simple docstring'''

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


lowercase__		:    Tuple =       logging.get_logger(__name__)

lowercase__		:    List[str] =       {
    '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        __lowerCAmelCase  (					__magic_name__				):






       """simple docstring"""
       _snake_case			:  Any		       =					'nystromformer'





       def __init__(							self     :	str ,				lowerCAmelCase__     :	int=30000 ,				lowerCAmelCase__     :	Union[str, Any]=768 ,				lowerCAmelCase__     :	Any=12 ,				lowerCAmelCase__     :	List[Any]=12 ,				lowerCAmelCase__     :	str=3072 ,				lowerCAmelCase__     :	Dict="gelu_new" ,				lowerCAmelCase__     :	str=0.1 ,				lowerCAmelCase__     :	str=0.1 ,				lowerCAmelCase__     :	Tuple=510 ,				lowerCAmelCase__     :	Union[str, Any]=2 ,				lowerCAmelCase__     :	Any=64 ,				lowerCAmelCase__     :	Dict=64 ,				lowerCAmelCase__     :	Union[str, Any]=65 ,				lowerCAmelCase__     :	Optional[Any]=False ,				lowerCAmelCase__     :	int=0.02 ,				lowerCAmelCase__     :	Dict=1e-5 ,				lowerCAmelCase__     :	str=1 ,				lowerCAmelCase__     :	Dict=0 ,				lowerCAmelCase__     :	int=2 ,				**lowerCAmelCase__     :	str ,				)					->  Optional[int]:

            '''simple docstring'''




            _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       					= segment_means_seq_len
            _UpperCamelCase       					= num_landmarks
            _UpperCamelCase       					= conv_kernel_size
            _UpperCamelCase       					= inv_coeff_init_option
            _UpperCamelCase       					= layer_norm_eps
            super().__init__(pad_token_id=lowerCAmelCase__ ,				bos_token_id=lowerCAmelCase__ ,				eos_token_id=lowerCAmelCase__ ,				**lowerCAmelCase__  )










'''simple docstring'''

from __future__ import annotations







def       a__       (       lowercase      :  list[int | float]   )	->	int | float:





     """simple docstring"""

     if len(lowercase   ) == 0:
          raise ValueError('''find_min() arg is an empty sequence'''   )
     _UpperCamelCase       					= nums[0]
     for num in nums:
          _UpperCamelCase       					= min(lowercase,      lowercase   )
     return min_num


if __name__ == "__main__":
   import doctest

   doctest.testmod(verbose=True)



