def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 if a < 0 or b < 0:
  raise ValueError("the value of both inputs must be positive"       )

 __a							=	str(bin(_A       )       )[2:]  # remove the leading "0b"
 __a							=	str(bin(_A       )       )[2:]  # remove the leading "0b"

 __a							=	max(len(_A       )				,					len(_A       )       )

 return "0b" + "".join(
     str(int(char_a != char_b       )       )
     for char_a, char_b in zip(a_binary.zfill(_A       )				,					b_binary.zfill(_A       )       )       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()



from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


SCREAMING_SNAKE_CASE			:						int				  =		logging.get_logger(__name__)

SCREAMING_SNAKE_CASE			:						Any				  =		"""T5Config"""
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      """mt5"""
  _SCREAMING_SNAKE_CASE     					=      MTaConfig
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      """mt5"""
  _SCREAMING_SNAKE_CASE     					=      MTaConfig
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      """mt5"""
  _SCREAMING_SNAKE_CASE     					=      MTaConfig


