
'''simple docstring'''
import math
import os

import cva
import numpy as np

A__ :		int					=2_5_5.0







def 							A_  (    __SCREAMING_SNAKE_CASE    :	float      ,  __SCREAMING_SNAKE_CASE    :	float			)					->							float:





  """simple docstring"""

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

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







def 							A_  (    )					->							None:





  """simple docstring"""

  __A		:  Dict       				=		os.path.dirname(os.path.realpath(__SCREAMING_SNAKE_CASE			)			)
  # Loading images (original image and compressed image)
  __A		:  Dict       				=		cva.imread(os.path.join(__SCREAMING_SNAKE_CASE      ,  """image_data/original_image.png"""			)			)
  __A		:  Tuple       				=		cva.imread(os.path.join(__SCREAMING_SNAKE_CASE      ,  """image_data/compressed_image.png"""			)      ,  1			)

  __A		:  Tuple       				=		cva.imread(os.path.join(__SCREAMING_SNAKE_CASE      ,  """image_data/PSNR-example-base.png"""			)			)
  __A		:  List[str]       				=		cva.imread(
      os.path.join(__SCREAMING_SNAKE_CASE      ,  """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(__SCREAMING_SNAKE_CASE      ,  __SCREAMING_SNAKE_CASE			)} dB"			)

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


if __name__ == "__main__":
     main()





'''simple docstring'''
A__ :		dict[str, float]					={
    "kilogram": 1,
    "gram": pow(10, 3),
    "milligram": pow(10, 6),
    "metric-ton": pow(10, -3),
    "long-ton": 0.0_0_0_9_8_4_2_0_7_3,
    "short-ton": 0.0_0_1_1_0_2_3_1_2_2,
    "pound": 2.2_0_4_6_2_4_4_2_0_2,
    "stone": 0.1_5_7_4_7_3_1_7_2_8,
    "ounce": 3_5.2_7_3_9_9_0_7_2_3,
    "carrat": 5_000,
    "atomic-mass-unit": 6.0_2_2_1_3_6_6_5_2E2_6,
}

A__ :		dict[str, float]					={
    "kilogram": 1,
    "gram": pow(10, -3),
    "milligram": pow(10, -6),
    "metric-ton": pow(10, 3),
    "long-ton": 1_0_1_6.0_4_6_0_8,
    "short-ton": 9_0_7.1_8_4,
    "pound": 0.4_5_3_5_9_2,
    "stone": 6.3_5_0_2_9,
    "ounce": 0.0_2_8_3_4_9_5,
    "carrat": 0.0_0_0_2,
    "atomic-mass-unit": 1.6_6_0_5_4_0_1_9_9E-2_7,
}







def 							A_  (    __SCREAMING_SNAKE_CASE    :	str      ,  __SCREAMING_SNAKE_CASE    :	str      ,  __SCREAMING_SNAKE_CASE    :	float			)					->							float:





  """simple docstring"""

  if to_type not in KILOGRAM_CHART or from_type not in WEIGHT_TYPE_CHART:
    __A		:  Tuple       				=		(
        F"Invalid 'from_type' or 'to_type' value: {from_type!r}, {to_type!r}\n"
        F"Supported values are: {', '.join(__SCREAMING_SNAKE_CASE			)}"
    )
    raise ValueError(__SCREAMING_SNAKE_CASE			)
  return value * KILOGRAM_CHART[to_type] * WEIGHT_TYPE_CHART[from_type]


if __name__ == "__main__":
     import doctest

     doctest.testmod()



