






from __future__ import annotations







class 							UpperCAmelCase_     :




     def __init__(							self  ,	_lowerCAmelCase		):
          UpperCAmelCase__			:     List[Any]										= value
          UpperCAmelCase__			:     Node | None										= None
          UpperCAmelCase__			:     Node | None										= None







class 							UpperCAmelCase_     :
     __lowerCamelCase										=     42




     def __init__(							self		):
          UpperCAmelCase__			:     Any										= 0




     def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase		):
          if node is None:
               return

          if path_sum == self.target:
               self.paths += 1

          if node.left:
               self.depth_first_search(node.left  ,	path_sum + node.left.value		)
          if node.right:
               self.depth_first_search(node.right  ,	path_sum + node.right.value		)




     def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase = None		):
          if node is None:
               return 0
          if target is not None:
               UpperCAmelCase__			:     List[Any]										= target

          self.depth_first_search(_lowerCAmelCase  ,	node.value		)
          self.path_sum(node.left		)
          self.path_sum(node.right		)

          return self.paths


if __name__ == "__main__":
      import doctest

      doctest.testmod()














import math
import os

import cva
import numpy as np

SCREAMING_SNAKE_CASE__		:       Optional[Any]   							=							255.0





def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase					)   -> float:

     '''simple docstring'''
     UpperCAmelCase__			:     List[Any]										= np.mean((original - contrast) ** 2					)
     if mse == 0:
          return 100

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





def    _lowerCamelCase	(	)   -> None:

     '''simple docstring'''
     UpperCAmelCase__			:     Union[str, Any]										= os.path.dirname(os.path.realpath(__lowerCamelCase					)					)
     # Loading images (original image and compressed image)
     UpperCAmelCase__			:     List[Any]										= cva.imread(os.path.join(__lowerCamelCase   ,       """image_data/original_image.png"""					)					)
     UpperCAmelCase__			:     Dict										= cva.imread(os.path.join(__lowerCamelCase   ,       """image_data/compressed_image.png"""					)   ,       1					)

     UpperCAmelCase__			:     Tuple										= cva.imread(os.path.join(__lowerCamelCase   ,       """image_data/PSNR-example-base.png"""					)					)
     UpperCAmelCase__			:     int										= cva.imread(
         os.path.join(__lowerCamelCase   ,       """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(__lowerCamelCase   ,       __lowerCamelCase					)} dB"					)

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


if __name__ == "__main__":
      main()






