/jddlmZddlmZddZddZddZddZddZdd Z dd Z dd Z dd Z dd Z ddZ d ddZ d ddZddZddZddZddZddZddZ d dZd!d"dZy)#) annotations)ImagecDtjd|j|S)z'Fill a channel with a given gray level.L)rnewsize)imagevalues Q/root/repos/pocs/video-evals/.venv/lib/python3.12/site-packages/PIL/ImageChops.pyconstantr s 99S%**e ,,c"|jS)z:Copy a channel. Alias for :py:meth:`PIL.Image.Image.copy`.)copyr s r duplicaters ::<rct|j|j|jjS)zB Invert an image (channel). :: out = MAX - image )load_newim chop_invertrs r invertr#s) JJL ::ehh**, --rc|j|j|j|jj|jS)z Compares the two images, pixel by pixel, and returns a new image containing the lighter values. :: out = max(image1, image2) )rrr chop_lighterimage1image2s r lighterr.s8 KKM KKM ;;vyy--fii8 99rc|j|j|j|jj|jS)z Compares the two images, pixel by pixel, and returns a new image containing the darker values. :: out = min(image1, image2) )rrr chop_darkerrs r darkerr!;s8 KKM KKM ;;vyy,,VYY7 88rc|j|j|j|jj|jS)z Returns the absolute value of the pixel-by-pixel difference between the two images. :: out = abs(image1 - image2) )rrrchop_differencers r differencer$H8 KKM KKM ;;vyy00; <s< KKM KKM ;;vyy..vyy%H IIrc|j|j|j|jj|jS)zbAdd two images, without clipping the result. :: out = ((image1 + image2) % MAX) )rrrchop_add_modulors r add_modulorAr%rc|j|j|j|jj|jS)zgSubtract two images, without clipping the result. :: out = ((image1 - image2) % MAX) )rrrchop_subtract_modulors r subtract_modulorDs8 KKM KKM ;;vyy55fii@ AArc|j|j|j|jj|jS)a@Logical AND between two images. Both of the images must have mode "1". If you would like to perform a logical AND on an image with a mode other than "1", try :py:meth:`~PIL.ImageChops.multiply` instead, using a black-and-white mask as the second image. :: out = ((image1 and image2) % MAX) )rrrchop_andrs r logical_andrGs8 KKM KKM ;;vyy))&))4 55rc|j|j|j|jj|jS)z|Logical OR between two images. Both of the images must have mode "1". :: out = ((image1 or image2) % MAX) )rrrchop_orrs r logical_orrJs8 KKM KKM ;;vyy((3 44rc|j|j|j|jj|jS)zLogical XOR between two images. Both of the images must have mode "1". :: out = ((bool(image1) != bool(image2)) % MAX) )rrrchop_xorrs r logical_xorrMs8 KKM KKM ;;vyy))&))4 55rc0tj|||S)z`Blend images using constant transparency weight. Alias for :py:func:`PIL.Image.blend`. )rblend)rralphas r rOrOs ;;vvu --rc0tj|||S)z]Create composite using transparency mask. Alias for :py:func:`PIL.Image.composite`. )r composite)rrmasks r rRrRs ??664 00rNc||}|j|j|jj||S)atReturns a copy of the image where data has been offset by the given distances. Data wraps around the edges. If ``yoffset`` is omitted, it is assumed to be equal to ``xoffset``. :param image: Input image. :param xoffset: The horizontal distance. :param yoffset: The vertical distance. If omitted, both distances are set to the same value. )rrrr:)r xoffsetyoffsets r r:r:s5 JJL ::ehhoogw7 88r)r Image.Imager intreturnrW)r rWrYrW)rrWrrWrYrW)g?r) rrWrrWr9floatr:rZrYrW)rrWrrWrPrZrYrW)rrWrrWrSrWrYrW)N)r rWrUrXrVz int | NonerYrW) __future__rrr rrrr!r$r(r+r.r2r5r;r>rArDrGrJrMrOrRr:rr r^s$#-  . : 9 = ; 9==:STE E!,E5:EJOEE$STJ J!,J5:JJOJJ" = B 6 5 6.1 1!,14?119r