from hashlib import mda, shaaaa

UpperCAmelCase_    		=				(shaaaa, mda)





class   lowerCAmelCase    :



     def __init__(       self					,   lowerCAmelCase__ = 8							):
            _A=						0b0
            _A=						size



     def       a__	(       self					,   lowerCAmelCase__							):
            _A=						self.hash_(lowerCAmelCase__							)
            self.bitarray |= h



     def       a__	(       self					,   lowerCAmelCase__							):
            _A=						self.hash_(lowerCAmelCase__							)
            return (h & self.bitarray) == h



     def __contains__(       self					,   lowerCAmelCase__							):
            return self.exists(lowerCAmelCase__							)



     def       a__	(       self					,   lowerCAmelCase__							):
            _A=						bin(lowerCAmelCase__							)[2:]
            return res.zfill(self.size							)



     @property
     def       a__	(       self							):
            return self.format_bin(self.bitarray							)



     def       a__	(       self					,   lowerCAmelCase__							):
            _A=						0b0
            for func in HASH_FUNCTIONS:
                   _A=						(
                       int.from_bytes(func(value.encode()							).digest()					,   'little'							) % self.size
                   )
                   res |= 2**position
            return res



     def       a__	(       self					,   lowerCAmelCase__							):
            return self.format_bin(self.hash_(lowerCAmelCase__							)							)





     @property
     def       a__	(       self							):
            _A=						bin(self.bitarray							).count('1'							)
            return (n_ones / self.size) ** len(lowerCAmelCase__							)
import numpy as np
from PIL import Image

def 				UpperCamelCase					(     lowerCAmelCase_ )		->    np.array:




       '''simple docstring'''






       _A,      _A,      _A=						rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
       return 0.2_989 * r + 0.5_870 * g + 0.1_140 * b

def 				UpperCamelCase					(     lowerCAmelCase_ )		->    np.array:




       '''simple docstring'''






       return (gray > 1_27) & (gray <= 2_55)

def 				UpperCamelCase					(     lowerCAmelCase_							,       lowerCAmelCase_ )		->    np.array:




       '''simple docstring'''






       _A=						np.zeros_like(lowerCAmelCase_ )
       _A=						np.zeros(
           (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1) )

       # Copy image to padded image
       _A=						image

       # Iterate over image & apply kernel
       for x in range(image.shape[1] ):
              for y in range(image.shape[0] ):
                     _A=						(
                         kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
                     ).sum()
                     _A=						int(summation == 5 )
       return output


# kernel to be applied
UpperCAmelCase_    		=				np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])

if __name__ == "__main__":
      # read original image
      UpperCAmelCase_    		=				np.array(Image.open(R'''..\image_data\lena.jpg'''))
      # Apply erosion operation to a binary image
      UpperCAmelCase_    		=				erosion(grayabinary(rgbagray(image)), structuring_element)
      # Save the output image
      UpperCAmelCase_    		=				Image.fromarray(output).convert('''RGB''')
      pil_img.save('''result_erosion.png''')