code: 
  
  
  
  
  
  
  """simple docstring"""
  import math
  from timeit import timeit
  
  
  def        A	(							__snake_case:   Tuple     )						->		List[str]:
  
         """simple docstring"""
  
  
  
  
  
         __magic_name__										=						0
         __magic_name__										=						abs(_A     )
         while True:
                __magic_name__										=						n // 1_0
                digits += 1
                if n == 0:
                       break
         return digits
  
  
  def        A	(							__snake_case:   Optional[int]     )						->		str:
  
         """simple docstring"""
  
  
  
  
  
         return 1 if n == 0 else math.floor(math.log(abs(_A     )   ,    1_0     ) + 1     )
  
  
  def        A	(							__snake_case:   Optional[Any]     )						->		str:
  
         """simple docstring"""
  
  
  
  
  
         return len(str(abs(_A     )     )     )
  
  
  def        A	(							)						->		Any:
  
         """simple docstring"""
  
  
  
  
  
         from collections.abc import Callable
  
         def benchmark_a_function(__snake_case:   List[str]   ,    __snake_case:   int     ) -> None:
                __magic_name__										=						F"""{func.__name__}({value})"""
                __magic_name__										=						timeit(F"""__main__.{call}"""   ,    setup='import __main__'     )
                print(F"""{call}: {func(_A     )} -- {timing} seconds"""     )
  
         for value in (2_6_2_1_4_4, 1_1_2_5_8_9_9_9_0_6_8_4_2_6_2_4, 1_2_6_7_6_5_0_6_0_0_2_2_8_2_2_9_4_0_1_4_9_6_7_0_3_2_0_5_3_7_6):
                for func in (num_digits, num_digits_fast, num_digits_faster):
                       benchmark_a_function(_A   ,    _A     )
                print()
  
  
  if __name__ == "__main__":
      import doctest
  
      doctest.testmod()
      benchmark()
style_context: 
  
  
  
  
  
  
  """simple docstring"""
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  snake_case   :   str    		=		{"""configuration_sew_d""": ["""SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWDConfig"""]}
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   snake_case   :   Union[str, Any]    		=		[
       """SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """SEWDForCTC""",
       """SEWDForSequenceClassification""",
       """SEWDModel""",
       """SEWDPreTrainedModel""",
   ]
  
  if TYPE_CHECKING:
   from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig
  
   try:
    if not is_torch_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_sew_d import (
        SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
        SEWDForCTC,
        SEWDForSequenceClassification,
        SEWDModel,
        SEWDPreTrainedModel,
    )
  
  
  else:
   import sys
  
   snake_case   :   Union[str, Any]    		=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)