
"""simple docstring"""





_a									=				'\n# Transformers installation\n! pip install transformers datasets evaluate\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

_a									=				[{'type': 'code', 'content': INSTALL_CONTENT}]
_a									=				{
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}




"""simple docstring"""





import math
from timeit import timeit







def       __a	(						__lowerCamelCase    ):
   UpperCAmelCase_   :   Tuple     	=       0
   UpperCAmelCase_   :   Any     	=       abs(__lowerCamelCase    )
   while True:
      UpperCAmelCase_   :   Optional[int]     	=       n // 10
      digits += 1
      if n == 0:
         break
   return digits







def       __a	(						__lowerCamelCase    ):
   return 1 if n == 0 else math.floor(math.log(abs(__lowerCamelCase    ),						10    ) + 1    )







def       __a	(						__lowerCamelCase    ):
   return len(str(abs(__lowerCamelCase    )    )    )







def       __a	(						):
   from collections.abc import Callable

   def benchmark_a_function(__lowerCamelCase,						__lowerCamelCase    ) -> None:
      UpperCAmelCase_   :   Optional[Any]     	=       f"""{func.__name__}({value})"""
      UpperCAmelCase_   :   Optional[int]     	=       timeit(f"""__main__.{call}""",						setup="import __main__"    )
      print(f"""{call}: {func(__lowerCamelCase    )} -- {timing} seconds"""    )

   for value in (26_2144, 1125_8999_0684_2624, 126_7650_6002_2822_9401_4967_0320_5376):
      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()


