




'''simple docstring'''





import hashlib
from typing import Union





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

				return hash_data.encode("""utf-8"""	)




class     UpperCamelCase					(  snake_case__					):



		def __init__( self		,    __lowerCAmelCase   ):







						'''simple docstring'''


						_a							:       int       					=			"""\nFAILURE TO GENERATE DATASET: Invalid key type detected"""
						_a							:       Union[str, Any]       					=			f'''\nFound Key {hash_data} of type {type(__lowerCAmelCase   )}'''
						_a							:       Any       					=			"""\nKeys should be either str, int or bytes type"""
						super().__init__(f'''{self.prefix}{self.err_msg}{self.suffix}'''   )






class     UpperCamelCase					(  snake_case__					):



		def __init__( self		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase=""   ):







						'''simple docstring'''


						_a							:       List[str]       					=			key
						_a							:       str       					=			duplicate_key_indices
						_a							:       Optional[int]       					=			fix_msg
						_a							:       List[str]       					=			"""Found multiple examples generated with the same key"""
						if len(__lowerCAmelCase   ) <= 20:
										_a							:       Dict       					=			f'''\nThe examples at index {', '.join(__lowerCAmelCase   )} have the key {key}'''
						else:
										_a							:       List[Any]       					=			f'''\nThe examples at index {', '.join(duplicate_key_indices[:20]   )}... ({len(__lowerCAmelCase   ) - 20} more) have the key {key}'''
						_a							:       int       					=			"""\n""" + fix_msg if fix_msg else """"""
						super().__init__(f'''{self.prefix}{self.err_msg}{self.suffix}'''   )






class     UpperCamelCase					:



		def __init__( self		,    __lowerCAmelCase   ):







						'''simple docstring'''


						_a							:       str       					=			hashlib.mda(_as_bytes(__lowerCAmelCase   )   )



		def 						a_       ( self		,    __lowerCAmelCase   ):







						'''simple docstring'''


						_a							:       Optional[Any]       					=			self._split_mda.copy()
						_a							:       List[Any]       					=			_as_bytes(__lowerCAmelCase   )
						mda.update(__lowerCAmelCase   )
						# Convert to integer with hexadecimal conversion
						return int(mda.hexdigest()		,    16   )








'''simple docstring'''





from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import divide, inta, multiply, ravel, sort, zeros_like





def UpperCAmelCase						(					UpperCAmelCase_      ,  UpperCAmelCase_=3	):
    _a							:       Optional[Any]       					=			int(mask / 2	)
    # copy image size
    _a							:       Optional[int]       					=			zeros_like(UpperCAmelCase_	)
    for i in range(UpperCAmelCase_      ,  gray_img.shape[0] - bd	):
        for j in range(UpperCAmelCase_      ,  gray_img.shape[1] - bd	):
            # get mask according with mask
            _a							:       List[str]       					=			ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]	)
            # calculate mask median
            _a							:       Optional[Any]       					=			sort(UpperCAmelCase_	)[inta(divide((multiply(UpperCAmelCase_      ,  UpperCAmelCase_	))      ,  2	) + 1	)]
            _a							:       int       					=			median
    return median_img


if __name__ == "__main__":
  # read original image
  a		:  List[Any]   			=			imread('''../image_data/lena.jpg''')
  # turn image in gray scale value
  a		:  Optional[Any]   			=			cvtColor(img, COLOR_BGR2GRAY)

  # get values with two different mask size
  a		:  str   			=			median_filter(gray, 3)
  a		:  Optional[Any]   			=			median_filter(gray, 5)

  # show result images
  imshow('''median filter with 3x3 mask''', medianaxa)
  imshow('''median filter with 5x5 mask''', medianaxa)
  waitKey(0)


