






'''simple docstring'''




from PIL import Image

def 					__lowercase						(			__lowercase       )       ->						Image:

      '''simple docstring'''


      _A     ,	_A			     =	image.size
      _A			     =	0
      _A			     =	image.load()
      for i in range(__lowercase       ):
            for j in range(__lowercase       ):
                  _A			     =	pixels[j, i]
                  mean += pixel
      mean //= width * height

      for j in range(__lowercase       ):
            for i in range(__lowercase       ):
                  _A			     =	255 if pixels[i, j] > mean else 0
      return image


if __name__ == "__main__":
    lowerCamelCase_												=					mean_threshold(Image.open('''path_to_image''').convert('''L'''))
    image.save('''output_image_path''')












import math
import random



def A_	(		A__		,      A__ = False				)  ->		float:
       if deriv:
              return value * (1 - value)
       return 1 / (1 + math.exp(-value				))


# Initial Value
lowercase      :       Optional[Any]									=  0.02



def A_	(		A__		,      A__				)  ->		float:
       a__						:	int =				float(2 * (random.randint(1		,      100				)) - 1				)

       for _ in range(A__				):
              # Forward propagation
              a__						:	Union[str, Any] =				sigmoid_function(INITIAL_VALUE * weight				)
              # How much did we miss?
              a__						:	Optional[Any] =				(expected / 100) - layer_a
              # Error delta
              a__						:	Optional[int] =				layer_1_error * sigmoid_function(A__		,      A__				)
              # Update weight
              weight += INITIAL_VALUE * layer_1_delta

       return layer_a * 100


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    lowercase      :       Dict									=  int(input("""Expected value: """))
    lowercase      :       Dict									=  int(input("""Number of propagations: """))
    print(forward_propagation(expected, number_propagations))


