



A_		:     Optional[int]        =     '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

A_		:     List[Any]        =     [{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
A_		:     Optional[Any]        =     {
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}






def 	UpperCAmelCase__      (      UpperCAmelCase__ :int ,					UpperCAmelCase__ :int					):






 '''simple docstring'''

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

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

 a						=		max(len(UpperCAmelCase__					) ,					len(UpperCAmelCase__					)					)

 return "0b" + "".join(
     str(int(char_a == "1" and char_b == "1"					)					)
     for char_a, char_b in zip(a_binary.zfill(UpperCAmelCase__					) ,					b_binary.zfill(UpperCAmelCase__					)					)					)


if __name__ == "__main__":
     import doctest

     doctest.testmod()

