






"""simple docstring"""



# Lint as: python3

import hashlib
from typing import Union
def 		_SCREAMING_SNAKE_CASE					(       __snake_case     :    Union[str, int, bytes]       ):





  '''simple docstring'''





  if isinstance(__snake_case						,   __snake_case       ):
    # Data already in bytes, returns as it as
    return hash_data
  elif isinstance(__snake_case						,   __snake_case       ):
    # We keep the data as it as for it ot be later encoded to UTF-8
    # However replace `\\` with `/` for Windows compatibility
    lowercase				       =			hash_data.replace('\\'						,   '/'       )
  elif isinstance(__snake_case						,   __snake_case       ):
    lowercase				       =			str(__snake_case       )
  else:
    # If data is not of the required type, raise error
    raise InvalidKeyError(__snake_case       )

  return hash_data.encode('utf-8'       )

class 			a	(  a_      ):







    def __init__(     self				,						_lowerCamelCase			):
      lowercase				       =			'\nFAILURE TO GENERATE DATASET: Invalid key type detected'
      lowercase				       =			F'\nFound Key {hash_data} of type {type(_lowerCamelCase			)}'
      lowercase				       =			'\nKeys should be either str, int or bytes type'
      super().__init__(F'{self.prefix}{self.err_msg}{self.suffix}'			)


class 			a	(  a_      ):







    def __init__(     self				,						_lowerCamelCase				,						_lowerCamelCase				,						_lowerCamelCase=""			):
      lowercase				       =			key
      lowercase				       =			duplicate_key_indices
      lowercase				       =			fix_msg
      lowercase				       =			'Found multiple examples generated with the same key'
      if len(_lowerCamelCase			) <= 2_0:
        lowercase				       =			F'\nThe examples at index {", ".join(_lowerCamelCase			)} have the key {key}'
      else:
        lowercase				       =			F'\nThe examples at index {", ".join(duplicate_key_indices[:2_0]			)}... ({len(_lowerCamelCase			) - 2_0} more) have the key {key}'
      lowercase				       =			'\n' + fix_msg if fix_msg else ''
      super().__init__(F'{self.prefix}{self.err_msg}{self.suffix}'			)


class 			a	:







    def __init__(     self				,						_lowerCamelCase			):
      lowercase				       =			hashlib.mda(_as_bytes(_lowerCamelCase			)			)







    def      UpperCamelCase_ (     self				,						_lowerCamelCase			):
      lowercase				       =			self._split_mda.copy()
      lowercase				       =			_as_bytes(_lowerCamelCase			)
      mda.update(_lowerCamelCase			)
      # Convert to integer with hexadecimal conversion
      return int(mda.hexdigest()				,						1_6			)



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''')