

"""simple docstring"""






def 	lowercase      (   __UpperCamelCase						) ->      str:
 __magic_name__     =      int(__UpperCamelCase						)
 if decimal in (0, 1):  # Exit cases for the recursion
  return str(__UpperCamelCase						)
 __magic_name__   ,						__magic_name__     =      divmod(__UpperCamelCase      ,   2						)
 return binary_recursive(__UpperCamelCase						) + str(__UpperCamelCase						)





def 	lowercase      (   __UpperCamelCase						) ->      str:
 __magic_name__     =      str(__UpperCamelCase						).strip()
 if not number:
  raise ValueError('''No input value was provided'''						)
 __magic_name__     =      '''-''' if number.startswith('''-'''						) else ''''''
 __magic_name__     =      number.lstrip('''-'''						)
 if not number.isnumeric():
  raise ValueError('''Input value is not an integer'''						)
 return f'''{negative}0b{binary_recursive(int(__UpperCamelCase						)						)}'''


if __name__ == "__main__":
 from doctest import testmod

 testmod()








"""simple docstring"""






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


__lowerCamelCase										=		logging.get_logger(__name__)

__lowerCamelCase										=		{
    "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/config.json",
    "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/config.json"
    # See all FNet models at https://huggingface.co/models?filter=fnet
}
class        _lowercase					(     __UpperCAmelCase     ):
     _lowerCamelCase     =       '''fnet'''







     def __init__(      self ,						UpperCamelCase_=3_2000 ,						UpperCamelCase_=768 ,						UpperCamelCase_=12 ,						UpperCamelCase_=3072 ,						UpperCamelCase_="gelu_new" ,						UpperCamelCase_=0.1 ,						UpperCamelCase_=512 ,						UpperCamelCase_=4 ,						UpperCamelCase_=0.0_2 ,						UpperCamelCase_=1E-1_2 ,						UpperCamelCase_=False ,						UpperCamelCase_=512 ,						UpperCamelCase_=3 ,						UpperCamelCase_=1 ,						UpperCamelCase_=2 ,						**UpperCamelCase_ ,						):
      super().__init__(pad_token_id=UpperCamelCase_ ,						bos_token_id=UpperCamelCase_ ,						eos_token_id=UpperCamelCase_ ,						**UpperCamelCase_       )

      __magic_name__     =      vocab_size
      __magic_name__     =      max_position_embeddings
      __magic_name__     =      hidden_size
      __magic_name__     =      num_hidden_layers
      __magic_name__     =      intermediate_size
      __magic_name__     =      hidden_act
      __magic_name__     =      hidden_dropout_prob
      __magic_name__     =      initializer_range
      __magic_name__     =      type_vocab_size
      __magic_name__     =      layer_norm_eps
      __magic_name__     =      use_tpu_fourier_optimizations
      __magic_name__     =      tpu_short_seq_length

