


import math
import os

import cva
import numpy as np

__UpperCamelCase							:							int    							=					255.0

def       _a	(					SCREAMING_SNAKE_CASE						:					float     ,			SCREAMING_SNAKE_CASE						:					float  ):







 """simple docstring"""



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

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

def       _a	(					):







 """simple docstring"""



 UpperCamelCase__       :     Optional[int] 							= os.path.dirname(os.path.realpath(_A  )  )
 # Loading images (original image and compressed image)
 UpperCamelCase__       :     Optional[int] 							= cva.imread(os.path.join(_A     ,			'''image_data/original_image.png'''  )  )
 UpperCamelCase__       :     int 							= cva.imread(os.path.join(_A     ,			'''image_data/compressed_image.png'''  )     ,			1  )

 UpperCamelCase__       :     Dict 							= cva.imread(os.path.join(_A     ,			'''image_data/PSNR-example-base.png'''  )  )
 UpperCamelCase__       :     int 							= 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()





from __future__ import annotations




def        __UpperCamelCase     (      _A					:							int      ,  _A					:							list[int]      ,  _A					:							list[int]      ,  _A					:							int		)				->int:



							"""simple docstring"""

							# Base Case
							if counter == 0 or capacity == 0:
														return 0

							# If weight of the nth item is more than Knapsack of capacity,
							#   then this item cannot be included in the optimal solution,
							# else return the maximum of two cases:
							#   (1) nth item included
							#   (2) not included
							if weights[counter - 1] > capacity:
														return knapsack(_A      ,  _A      ,  _A      ,  counter - 1		)
							else:
														lowerCamelCase_								=capacity - weights[counter - 1]
														lowerCamelCase_								=values[counter - 1] + knapsack(
														    _A      ,  _A      ,  _A      ,  counter - 1		)
														lowerCamelCase_								=knapsack(_A      ,  _A      ,  _A      ,  counter - 1		)
														return max(_A      ,  _A		)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
