


from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import divide, inta, multiply, ravel, sort, zeros_like
def       UpperCamelCase__     (  SCREAMING_SNAKE_CASE__			,       SCREAMING_SNAKE_CASE__=3						):
 __lowerCamelCase		:							Dict							=						int(mask / 2						)
 # copy image size
 __lowerCamelCase		:							Union[str, Any]							=						zeros_like(SCREAMING_SNAKE_CASE__						)
 for i in range(SCREAMING_SNAKE_CASE__			,       gray_img.shape[0] - bd						):
  for j in range(SCREAMING_SNAKE_CASE__			,       gray_img.shape[1] - bd						):
   # get mask according with mask
   __lowerCamelCase		:							Optional[int]							=						ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]						)
   # calculate mask median
   __lowerCamelCase		:							str							=						sort(SCREAMING_SNAKE_CASE__						)[inta(divide((multiply(SCREAMING_SNAKE_CASE__			,       SCREAMING_SNAKE_CASE__						))			,       2						) + 1						)]
   __lowerCamelCase		:							Union[str, Any]							=						median
 return median_img


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

       # get values with two different mask size
       lowercase_           =	median_filter(gray, 3)
       lowercase_           =	median_filter(gray, 5)

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





import doctest

import projectq
from projectq.ops import H, Measure
def       UpperCamelCase__     (  SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							int							=						quantum_engine.allocate_qubit()
 H | qubit
 Measure | qubit
 return int(SCREAMING_SNAKE_CASE__						)


if __name__ == "__main__":
       doctest.testmod()

       # initialises a new quantum backend
       lowercase_           =	projectq.MainEngine()

       # Generate a list of 10 random numbers
       lowercase_           =	[get_random_number(quantum_engine) for _ in range(1_0)]

       # Flushes the quantum engine from memory
       quantum_engine.flush()

       print('Random numbers', random_numbers_list)

