




from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import array, dot, pad, ravel, uinta, zeros






def    snake_case   (				A		,  A     )				->				Union[str, Any]:




	'''simple docstring'''


	lowerCamelCase_  ,     lowerCamelCase_				:						List[Any]				  =				image.shape
	lowerCamelCase_				:						List[Any]				  =				cols - block_size[1] + 1
	lowerCamelCase_				:						Tuple				  =				rows - block_size[0] + 1
	lowerCamelCase_				:						Any				  =				zeros((dst_height * dst_width, block_size[1] * block_size[0])     )
	lowerCamelCase_				:						Union[str, Any]				  =				0
	for i in range(0		,  A     ):
		for j in range(0		,  A     ):
			lowerCamelCase_				:						Optional[Any]				  =				ravel(image[i : i + block_size[0], j : j + block_size[1]]     )
			lowerCamelCase_				:						Union[str, Any]				  =				window
			row += 1

	return image_array






def    snake_case   (				A		,  A     )				->				List[str]:




	'''simple docstring'''


	lowerCamelCase_  ,     lowerCamelCase_				:						Optional[int]				  =				image.shape[0], image.shape[1]
	lowerCamelCase_				:						Any				  =				filter_kernel.shape[0]
	lowerCamelCase_				:						Union[str, Any]				  =				k_size // 2
	# Pads image with the edge values of array.
	lowerCamelCase_				:						List[str]				  =				pad(A		,  A		,  mode='edge'     )

	# im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
	lowerCamelCase_				:						int				  =				imacol(A		,  (k_size, k_size)     )

	#  turn the kernel into shape(k*k, 1)
	lowerCamelCase_				:						str				  =				ravel(A     )
	# reshape and get the dst image
	lowerCamelCase_				:						Optional[Any]				  =				dot(A		,  A     ).reshape(A		,  A     )
	return dst


if __name__ == "__main__":
							# read original image
							UpperCamelCase__						=		imread(r'../image_data/lena.jpg')
							# turn image in gray scale value
							UpperCamelCase__						=		cvtColor(img, COLOR_BGR2GRAY)
							# Laplace operator
							UpperCamelCase__						=		array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
							UpperCamelCase__						=		img_convolve(gray, Laplace_kernel).astype(uinta)
							imshow('Laplacian', out)
							waitKey(0)






def    snake_case   (				A     )				->				str:




	'''simple docstring'''


	if not isinstance(A		,  A     ):
		lowerCamelCase_				:						int				  =				(
		    'operation can not be conducted on a object of type '
		    f"{type(A     ).__name__}"
		)
		raise TypeError(A     )
	lowerCamelCase_				:						List[Any]				  =				''
	for _ in range(0		,  32     ):
		bit_string += str(number % 2     )
		lowerCamelCase_				:						int				  =				number >> 1
	return bit_string






def    snake_case   (				A     )				->				str:




	'''simple docstring'''


	if number < 0:
		raise ValueError('the value of input must be positive'     )
	elif isinstance(A		,  A     ):
		raise TypeError('Input value must be a \'int\' type'     )
	elif isinstance(A		,  A     ):
		raise TypeError('\'<\' not supported between instances of \'str\' and \'int\''     )
	lowerCamelCase_				:						Any				  =				0
	# iterator over [1 to 32],since we are dealing with 32 bit integer
	for _ in range(1		,  33     ):
		# left shift the bits by unity
		lowerCamelCase_				:						Any				  =				result << 1
		# get the end bit
		lowerCamelCase_				:						Any				  =				number % 2
		# right shift the bits by unity
		lowerCamelCase_				:						Optional[Any]				  =				number >> 1
		# add that bit to our ans
		lowerCamelCase_				:						Dict				  =				result | end_bit
	return get_reverse_bit_string(A     )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
