


from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import array, dot, pad, ravel, uinta, zeros
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:Optional[int]   ,    lowercase__	:Tuple					)							->	str:
						__magic_name__					:				Optional[Any]				=   image.shape
						__magic_name__					:				str				=   cols - block_size[1] + 1
						__magic_name__					:				int				=   rows - block_size[0] + 1
						__magic_name__					:				Optional[Any]				=   zeros((dst_height * dst_width, block_size[1] * block_size[0])					)
						__magic_name__					:				List[Any]				=   0
						for i in range(0   ,    lowercase__					):
												for j in range(0   ,    lowercase__					):
																		__magic_name__					:				List[Any]				=   ravel(image[i : i + block_size[0], j : j + block_size[1]]					)
																		__magic_name__					:				str				=   window
																		row += 1

						return image_array
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:str   ,    lowercase__	:List[str]					)							->	Tuple:
						__magic_name__					:				List[str]				=   image.shape[0], image.shape[1]
						__magic_name__					:				Any				=   filter_kernel.shape[0]
						__magic_name__					:				Optional[Any]				=   k_size // 2
						# Pads image with the edge values of array.
						__magic_name__					:				Union[str, Any]				=   pad(lowercase__   ,    lowercase__   ,    mode='edge'					)

						# im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
						__magic_name__					:				List[Any]				=   imacol(lowercase__   ,    (k_size, k_size)					)

						#  turn the kernel into shape(k*k, 1)
						__magic_name__					:				Tuple				=   ravel(lowercase__					)
						# reshape and get the dst image
						__magic_name__					:				int				=   dot(lowercase__   ,    lowercase__					).reshape(lowercase__   ,    lowercase__					)
						return dst


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





"""simple docstring"""
from collections import defaultdict







def       UpperCamelCase_					(     lowerCamelCase							:					str   )						->     dict:



       """simple docstring"""







       __magic_name__			:		defaultdict[str, int]        =     defaultdict(lowerCamelCase   )
       # Creating a dictionary containing count of each word
       for word in sentence.split():
              occurrence[word] += 1
       return occurrence


if __name__ == "__main__":
 for word, count in word_occurrence("""INPUT STRING""").items():
  print(F"""{word}: {count}""")
