






"""simple docstring"""
import pytest

from datasets.utils.version import Version






@pytest.mark.parametrize(
    'other, expected_equality'			,   [
        (Version('1.0.0'				), True),
        ('1.0.0', True),
        (Version('2.0.0'				), False),
        ('2.0.0', False),
        ('1', False),
        ('a', False),
        (1, False),
        (None, False),
    ]			,   )
def        lowerCamelCase_  (						_lowerCamelCase			,   _lowerCamelCase				):
 lowerCamelCase__     :			Dict     				=						Version('1.0.0'				)
 assert (version == other) is expected_equality
 assert (version != other) is not expected_equality
 assert (hash(_lowerCamelCase				) == hash(_lowerCamelCase				)) is expected_equality









"""simple docstring"""
from cva import destroyAllWindows, imread, imshow, waitKey






def        lowerCamelCase_  (						_lowerCamelCase			,   _lowerCamelCase				):
 lowerCamelCase__				,     lowerCamelCase__     :			Optional[Any]     				=						img.shape[0], img.shape[1]

 def to_grayscale(_lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase				):
  return 0.2_126 * red + 0.587 * green + 0.114 * blue

 def normalize(_lowerCamelCase				):
  return min(_lowerCamelCase			,   255				)

 for i in range(_lowerCamelCase				):
  for j in range(_lowerCamelCase				):
   lowerCamelCase__     :			List[Any]     				=						int(to_grayscale(*img[i][j]				)				)
   lowerCamelCase__     :			Optional[int]     				=						[
       normalize(_lowerCamelCase				),
       normalize(greyscale + factor				),
       normalize(greyscale + 2 * factor				),
   ]

 return img


if __name__ == "__main__":
      # read original image
      A_			: List[str]				=			{
          percentage: imread("image_data/lena.jpg", 1) for percentage in (10, 20, 30, 40)
      }

      for percentage, img in images.items():
            make_sepia(img, percentage)

      for percentage, img in images.items():
            imshow(f"Original image with sepia (factor: {percentage})", img)

      waitKey(0)
      destroyAllWindows()

