





def 				SCREAMING_SNAKE_CASE__							(	snake_case__	:list      ,				snake_case__	:list  )   ->    float:
  _validate_point(snake_case__  )
  _validate_point(snake_case__  )
  if len(snake_case__  ) != len(snake_case__  ):
    raise ValueError('Both points must be in the same n-dimensional space'  )

  return float(sum(abs(a - b  ) for a, b in zip(snake_case__      ,				snake_case__  )  )  )

def 				SCREAMING_SNAKE_CASE__							(	snake_case__	:list[float]  )   ->    None:
  if point:
    if isinstance(snake_case__      ,				snake_case__  ):
      for item in point:
        if not isinstance(snake_case__      ,				(int, float)  ):
          _lowercase						    =			(
              'Expected a list of numbers as input, found '
              F"""{type(snake_case__  ).__name__}"""
          )
          raise TypeError(snake_case__  )
    else:
      _lowercase						    =			F"""Expected a list of numbers as input, found {type(snake_case__  ).__name__}"""
      raise TypeError(snake_case__  )
  else:
    raise ValueError('Missing an input'  )

def 				SCREAMING_SNAKE_CASE__							(	snake_case__	:list      ,				snake_case__	:list  )   ->    float:
  _validate_point(snake_case__  )
  _validate_point(snake_case__  )
  if len(snake_case__  ) != len(snake_case__  ):
    raise ValueError('Both points must be in the same n-dimensional space'  )

  return float(sum(abs(x - y  ) for x, y in zip(snake_case__      ,				snake_case__  )  )  )


if __name__ == "__main__":
      import doctest

      doctest.testmod()



"""simple docstring"""
import numpy as np

def 				_snake_case      (   __snake_case							:      np.ndarray   ):




   """simple docstring"""







   return 1 / (1 + np.exp(-vector   ))

def 				_snake_case      (   __snake_case							:      np.ndarray   ):




   """simple docstring"""







   return vector * sigmoid(__snake_case   )


if __name__ == "__main__":
 import doctest

 doctest.testmod()

