


'''simple docstring'''

def _SCREAMING_SNAKE_CASE				(A	)	->	list:






       """simple docstring"""







       lowercase__				      =			len(A	)

       # Set the gap value to be decreased by a factor of 1.3
       # after each iteration
       lowercase__				      =			1.3

       # Continue sorting until the gap is 1
       while gap > 1:
              # Decrease the gap value
              lowercase__				      =			int(gap / shrink	)

              # Sort the elements using insertion sort
              for i in range(A  ,			len(A	)	):
                     lowercase__				      =			collection[i]
                     lowercase__				      =			i
                     while j >= gap and collection[j - gap] > temp:
                            lowercase__				      =			collection[j - gap]
                            j -= gap
                     lowercase__				      =			temp

       return collection


if __name__ == "__main__":
 import doctest

 doctest.testmod()








'''simple docstring'''

import math
import os

import cva
import numpy as np

lowerCamelCase							:       Optional[Any]  						=     2_5_5.0

def _SCREAMING_SNAKE_CASE				(A  ,			A	)	->	float:






       """simple docstring"""







       lowercase__				      =			np.mean((original - contrast) ** 2	)
       if mse == 0:
              return 100

       return 20 * math.logaa(PIXEL_MAX / math.sqrt(A	)	)

def _SCREAMING_SNAKE_CASE				()	->	None:






       """simple docstring"""







       lowercase__				      =			os.path.dirname(os.path.realpath(A	)	)
       # Loading images (original image and compressed image)
       lowercase__				      =			cva.imread(os.path.join(A  ,			'''image_data/original_image.png'''	)	)
       lowercase__				      =			cva.imread(os.path.join(A  ,			'''image_data/compressed_image.png'''	)  ,			1	)

       lowercase__				      =			cva.imread(os.path.join(A  ,			'''image_data/PSNR-example-base.png'''	)	)
       lowercase__				      =			cva.imread(
           os.path.join(A  ,			'''image_data/PSNR-example-comp-10.jpg'''	)  ,			1	)

       # Value expected: 29.73dB
       print('''-- First Test --'''	)
       print(f"PSNR value is {peak_signal_to_noise_ratio(A  ,			A	)} dB"	)

       # # Value expected: 31.53dB (Wikipedia Example)
       print('''\n-- Second Test --'''	)
       print(f"PSNR value is {peak_signal_to_noise_ratio(A  ,			A	)} dB"	)


if __name__ == "__main__":
 main()




