o –š£h[ã@s¾ddlmZdd„Zdd„Zdd„Zdd „Zd d „Zd d „Zdd„Zdd„Z dd„Z dd„Z dd„Z d/dd„Z d/dd„Zdd„Zd d!„Zd"d#„Zd$d%„Zd&d'„Zd(d)„Zd*d+„Zd0d-d.„Zd,S)1é)ÚImagecCst d|j|¡S)zVFill a channel with a given grey level. :rtype: :py:class:`~PIL.Image.Image` ÚL)rÚnewÚsize)ÚimageÚvalue©rúe/Users/merlin/projects/employee-monitoring-system/venv/lib/python3.10/site-packages/PIL/ImageChops.pyÚconstantsr cCs| ¡S)ziCopy a channel. Alias for :py:meth:`PIL.Image.Image.copy`. :rtype: :py:class:`~PIL.Image.Image` )Úcopy©rrrr Ú duplicatesr cCs| ¡| |j ¡¡S)zl Invert an image (channel). :: out = MAX - image :rtype: :py:class:`~PIL.Image.Image` )ÚloadÚ_newÚimZ chop_invertr rrr Úinvert's rcCó$| ¡| ¡| |j |j¡¡S)z½ Compares the two images, pixel by pixel, and returns a new image containing the lighter values. :: out = max(image1, image2) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_lighter©Úimage1Úimage2rrr Úlighter4ó rcCr)z¼ Compares the two images, pixel by pixel, and returns a new image containing the darker values. :: out = min(image1, image2) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_darkerrrrr ÚdarkerCrrcCr)z² Returns the absolute value of the pixel-by-pixel difference between the two images. :: out = abs(image1 - image2) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_differencerrrr Ú differenceRrrcCr)a Superimposes two images on top of each other. If you multiply an image with a solid black image, the result is black. If you multiply with a solid white image, the image is unaffected. :: out = image1 * image2 / MAX :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_multiplyrrrr Úmultiplyas rcCr)zª Superimposes two inverted images on top of each other. :: out = MAX - ((MAX - image1) * (MAX - image2) / MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_screenrrrr Úscreenrs rcCr)z Superimposes two images on top of each other using the Soft Light algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_soft_lightrrrr Ú soft_light€órcCr)z Superimposes two images on top of each other using the Hard Light algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_hard_lightrrrr Ú hard_lightŒrrcCr)z| Superimposes two images on top of each other using the Overlay algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_overlayrrrr Úoverlay˜rrçð?écCó(| ¡| ¡| |j |j||¡¡S)zé Adds two images, dividing the result by scale and adding the offset. If omitted, scale defaults to 1.0, and offset to 0.0. :: out = ((image1 + image2) / scale + offset) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_add©rrÚscaleÚoffsetrrr Úadd¤ó r&cCr")zî Subtracts two images, dividing the result by scale and adding the offset. If omitted, scale defaults to 1.0, and offset to 0.0. :: out = ((image1 - image2) / scale + offset) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_subtractr#rrr Úsubtract³r'r(cCr)z‡Add two images, without clipping the result. :: out = ((image1 + image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_add_modulorrrr Ú add_moduloÂór)cCr)zŒSubtract two images, without clipping the result. :: out = ((image1 - image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_subtract_modulorrrr Úsubtract_moduloÏr*r+cCr)ajLogical AND between two images. Both of the images must have mode "1". If you would like to perform a logical AND on an image with a mode other than "1", try :py:meth:`~PIL.ImageChops.multiply` instead, using a black-and-white mask as the second image. :: out = ((image1 and image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_andrrrr Ú logical_andÜs r,cCr)z¦Logical OR between two images. Both of the images must have mode "1". :: out = ((image1 or image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_orrrrr Ú logical_orîrr-cCr)z³Logical XOR between two images. Both of the images must have mode "1". :: out = ((bool(image1) != bool(image2)) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_xorrrrr Ú logical_xorýrr.cCót |||¡S)z‰Blend images using constant transparency weight. Alias for :py:func:`PIL.Image.blend`. :rtype: :py:class:`~PIL.Image.Image` )rÚblend)rrÚalpharrr r0 ór0cCr/)z†Create composite using transparency mask. Alias for :py:func:`PIL.Image.composite`. :rtype: :py:class:`~PIL.Image.Image` )rÚ composite)rrÚmaskrrr r3r2r3NcCs(|dur|}| ¡| |j ||¡¡S)aReturns a copy of the image where data has been offset by the given distances. Data wraps around the edges. If ``yoffset`` is omitted, it is assumed to be equal to ``xoffset``. :param image: Input image. :param xoffset: The horizontal distance. :param yoffset: The vertical distance. If omitted, both distances are set to the same value. :rtype: :py:class:`~PIL.Image.Image` N)rrrr%)rZxoffsetZyoffsetrrr r% s r%)r r!)N)Úrr r rrrrrrrrrr&r(r)r+r,r-r.r0r3r%rrrr Ús,