



"""simple docstring"""






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


lowerCamelCase				:     Any								=  logging.get_logger(__name__)

lowerCamelCase				:     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    __snake_case(					__A       ):
    _A       = '''nystromformer'''




    def __init__(   self    ,							A_=30_000    ,							A_=768    ,							A_=12    ,							A_=12    ,							A_=3_072    ,							A_="gelu_new"    ,							A_=0.1    ,							A_=0.1    ,							A_=510    ,							A_=2    ,							A_=64    ,							A_=64    ,							A_=65    ,							A_=False    ,							A_=0.02    ,							A_=1e-5    ,							A_=1    ,							A_=0    ,							A_=2    ,							**A_    ,							):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			vocab_size
      _SCREAMING_SNAKE_CASE        =			max_position_embeddings
      _SCREAMING_SNAKE_CASE        =			hidden_size
      _SCREAMING_SNAKE_CASE        =			num_hidden_layers
      _SCREAMING_SNAKE_CASE        =			num_attention_heads
      _SCREAMING_SNAKE_CASE        =			intermediate_size
      _SCREAMING_SNAKE_CASE        =			hidden_act
      _SCREAMING_SNAKE_CASE        =			hidden_dropout_prob
      _SCREAMING_SNAKE_CASE        =			attention_probs_dropout_prob
      _SCREAMING_SNAKE_CASE        =			initializer_range
      _SCREAMING_SNAKE_CASE        =			type_vocab_size
      _SCREAMING_SNAKE_CASE        =			segment_means_seq_len
      _SCREAMING_SNAKE_CASE        =			num_landmarks
      _SCREAMING_SNAKE_CASE        =			conv_kernel_size
      _SCREAMING_SNAKE_CASE        =			inv_coeff_init_option
      _SCREAMING_SNAKE_CASE        =			layer_norm_eps
      super().__init__(pad_token_id=A_    ,							bos_token_id=A_    ,							eos_token_id=A_    ,							**A_			)





"""simple docstring"""






import math


def 							A__ (     UpperCamelCase__    ):


  '''simple docstring'''


  if not isinstance(UpperCamelCase__       ,							UpperCamelCase__    ):
    _SCREAMING_SNAKE_CASE        =			F'''Input value of [number={number}] must be an integer'''
    raise TypeError(UpperCamelCase__    )
  if number < 1:
    _SCREAMING_SNAKE_CASE        =			F'''Input value of [number={number}] must be a positive integer'''
    raise ValueError(UpperCamelCase__    )
  _SCREAMING_SNAKE_CASE        =			[number]
  while number != 1:
    if number % 2 == 0:
      _SCREAMING_SNAKE_CASE        =			math.floor(math.sqrt(UpperCamelCase__    )    )
    else:
      _SCREAMING_SNAKE_CASE        =			math.floor(
          math.sqrt(UpperCamelCase__    ) * math.sqrt(UpperCamelCase__    ) * math.sqrt(UpperCamelCase__    )    )
    sequence.append(UpperCamelCase__    )
  return sequence


if __name__ == "__main__":
    import doctest

    doctest.testmod()
