



'''simple docstring'''





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


_UpperCamelCase							    =						logging.get_logger(__name__)

_UpperCamelCase							    =						{
    "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_   (    lowercase_					):
  """simple docstring"""




  a_							 ="""nystromformer"""




  def __init__(			self				:     Any      ,     _a				:     Dict=3_0000      ,     _a				:     Union[str, Any]=768      ,     _a				:     Dict=12      ,     _a				:     Tuple=12      ,     _a				:     Dict=3072      ,     _a				:     Optional[Any]="gelu_new"      ,     _a				:     Optional[Any]=0.1      ,     _a				:     List[str]=0.1      ,     _a				:     List[Any]=510      ,     _a				:     Optional[int]=2      ,     _a				:     Any=64      ,     _a				:     Any=64      ,     _a				:     str=65      ,     _a				:     str=False      ,     _a				:     str=0.02      ,     _a				:     Any=1e-5      ,     _a				:     List[str]=1      ,     _a				:     Optional[int]=0      ,     _a				:     Dict=2      ,     **_a				:     Optional[int]      ,     ) -> List[str]:
    __lowerCamelCase	:	Optional[int]   	=			vocab_size
    __lowerCamelCase	:	List[str]   	=			max_position_embeddings
    __lowerCamelCase	:	List[str]   	=			hidden_size
    __lowerCamelCase	:	Union[str, Any]   	=			num_hidden_layers
    __lowerCamelCase	:	Dict   	=			num_attention_heads
    __lowerCamelCase	:	Any   	=			intermediate_size
    __lowerCamelCase	:	Dict   	=			hidden_act
    __lowerCamelCase	:	Dict   	=			hidden_dropout_prob
    __lowerCamelCase	:	Dict   	=			attention_probs_dropout_prob
    __lowerCamelCase	:	Tuple   	=			initializer_range
    __lowerCamelCase	:	Optional[Any]   	=			type_vocab_size
    __lowerCamelCase	:	int   	=			segment_means_seq_len
    __lowerCamelCase	:	Optional[int]   	=			num_landmarks
    __lowerCamelCase	:	Optional[int]   	=			conv_kernel_size
    __lowerCamelCase	:	Dict   	=			inv_coeff_init_option
    __lowerCamelCase	:	Optional[Any]   	=			layer_norm_eps
    super().__init__(pad_token_id=UpperCamelCase_      ,     bos_token_id=UpperCamelCase_      ,     eos_token_id=UpperCamelCase_      ,     **UpperCamelCase_       )










'''simple docstring'''





import math
from timeit import timeit

def 	a_					(							_lowerCAmelCase	)				->				int:
  __lowerCamelCase	:	int   	=			0
  __lowerCamelCase	:	Optional[int]   	=			abs(_lowerCAmelCase	)
  while True:
    __lowerCamelCase	:	List[str]   	=			n // 10
    digits += 1
    if n == 0:
      break
  return digits

def 	a_					(							_lowerCAmelCase	)				->				int:
  return 1 if n == 0 else math.floor(math.log(abs(_lowerCAmelCase	)	,10	) + 1	)

def 	a_					(							_lowerCAmelCase	)				->				int:
  return len(str(abs(_lowerCAmelCase	)	)	)

def 	a_					(							)				->				None:
  from collections.abc import Callable

  def benchmark_a_function(_lowerCAmelCase	,_lowerCAmelCase	) -> None:
    __lowerCamelCase	:	Any   	=			F'{func.__name__}({value})'
    __lowerCamelCase	:	int   	=			timeit(F'__main__.{call}'	,setup='import __main__'	)
    print(F'{call}: {func(_lowerCAmelCase	)} -- {timing} seconds'	)

  for value in (262144, 1125899906842624, 1267650600228229401496703205376):
    for func in (num_digits, num_digits_fast, num_digits_faster):
      benchmark_a_function(_lowerCAmelCase	,_lowerCAmelCase	)
    print()


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   benchmark()






