+ Hj&^RIHt^RIHtRRltRRltRRltR R ltR R ltR Rlt RRlt RRlt RRlt RRlt RRltR.RRlltR.RRlltRRltRR ltR!R"ltR#R$ltR%R&ltR'R(ltR)R*ltR/R,R-lltR+#)0) annotations)Imagec$V^8dQhRRRRRR/#)image Image.Imagevalueintreturn)formats"ڐ/home/ubuntu/.hermes/installs/5f0a1ff4045d044e/environments/50f6b671e3f94b538e344231dfcb664f/venv/lib/python3.14/site-packages/PIL/ImageChops.py __annotate__rs!--K-- -cF\P!RVPV4#)z'Fill a channel with a given gray level.L)rnewsize)rr s&&rconstantrs 99S%**e ,,rc V^8dQhRRRR/#rrrr r )r s"rrrs[[rc"VP4#)z:Copy a channel. Alias for :py:meth:`PIL.Image.Image.copy`.)copyrs&r duplicaters ::<rc V^8dQhRRRR/#rr )r s"rrr#s..+.+.rctVP4VPVPP44#)z6 Invert an image (channel). :: out = MAX - image )load_newim chop_invertrs&rinvertr"#s) JJL ::ehh**, --rc$V^8dQhRRRRRR/#rimage1rimage2r r )r s"rrr.s! : :K : : :rcVP4VP4VPVPPVP44#)z Compares the two images, pixel by pixel, and returns a new image containing the lighter values. :: out = max(image1, image2) )rrr chop_lighterr%r&s&&rlighterr*.s8 KKM KKM ;;vyy--fii8 99rc$V^8dQhRRRRRR/#r$r )r s"rrr;s! 9 9; 9 9 9rcVP4VP4VPVPPVP44#)z Compares the two images, pixel by pixel, and returns a new image containing the darker values. :: out = min(image1, image2) )rrr chop_darkerr)s&&rdarkerr.;s8 KKM KKM ;;vyy,,VYY7 88rc$V^8dQhRRRRRR/#r$r )r s"rrrH! = ={ =K =K =rcVP4VP4VPVPPVP44#)zx Returns the absolute value of the pixel-by-pixel difference between the two images. :: out = abs(image1 - image2) )rrr chop_differencer)s&&r differencer3H8 KKM KKM ;;vyy00; <rcVP4VP4VPVPPVP44#)zM Superimposes two images on top of each other using the Hard Light algorithm )rrr chop_hard_lightr)s&&r hard_lightrFzrBrc$V^8dQhRRRRRR/#r$r )r s"rrrs!::K:::rcVP4VP4VPVPPVP44#)zJ Superimposes two images on top of each other using the Overlay algorithm )rrr chop_overlayr)s&&roverlayrJs8  KKM KKM ;;vyy--fii8 99rc ,V^8dQhRRRRRRRRRR/#rr%rr&scalefloatoffsetr r )r s"rrrs;EE E!,E5:EJOEErcVP4VP4VPVPPVPW#44#)z Adds two images, dividing the result by scale and adding the offset. If omitted, scale defaults to 1.0, and offset to 0.0. :: out = ((image1 + image2) / scale + offset) )rrr chop_addr%r&rMrOs&&&&raddrSs: KKM KKM ;;vyy))&))UC DDrc ,V^8dQhRRRRRRRRRR/#rLr )r s"rrrs;JJ J!,J5:JJOJJrcVP4VP4VPVPPVPW#44#)z Subtracts two images, dividing the result by scale and adding the offset. If omitted, scale defaults to 1.0, and offset to 0.0. :: out = ((image1 - image2) / scale + offset) )rrr chop_subtractrRs&&&&rsubtractrWs: KKM KKM ;;vyy..vyy%H IIrc$V^8dQhRRRRRR/#r$r )r s"rrrr0rcVP4VP4VPVPPVP44#)zVAdd two images, without clipping the result. :: out = ((image1 + image2) % MAX) )rrr chop_add_modulor)s&&r add_modulor[r4rc$V^8dQhRRRRRR/#r$r )r s"rrrs& B BK B B BrcVP4VP4VPVPPVP44#)z[Subtract two images, without clipping the result. :: out = ((image1 - image2) % MAX) )rrr chop_subtract_modulor)s&&rsubtract_modulor_s8 KKM KKM ;;vyy55fii@ AArc$V^8dQhRRRRRR/#r$r )r s"rrrs! 6 6 6[ 6[ 6rcVP4VP4VPVPPVP44#)a(Logical AND between two images. Both of the images must have mode "1". If you would like to perform a logical AND on an image with a mode other than "1", try :py:meth:`~PIL.ImageChops.multiply` instead, using a black-and-white mask as the second image. :: out = ((image1 and image2) % MAX) )rrr chop_andr)s&&r logical_andrcs8 KKM KKM ;;vyy))&))4 55rc$V^8dQhRRRRRR/#r$r )r s"rrrs! 5 5{ 5K 5K 5rcVP4VP4VPVPPVP44#)zpLogical OR between two images. Both of the images must have mode "1". :: out = ((image1 or image2) % MAX) )rrr chop_orr)s&&r logical_orrgs8 KKM KKM ;;vyy((3 44rc$V^8dQhRRRRRR/#r$r )r s"rrrs! 6 6 6[ 6[ 6rcVP4VP4VPVPPVP44#)z}Logical XOR between two images. Both of the images must have mode "1". :: out = ((bool(image1) != bool(image2)) % MAX) )rrr chop_xorr)s&&r logical_xorrks8 KKM KKM ;;vyy))&))4 55rc(V^8dQhRRRRRRRR/#)rr%rr&alpharNr r )r s"rrrs(..+.{.5.[.rc0\P!WV4#)zXBlend images using constant transparency weight. Alias for :py:func:`PIL.Image.blend`. )rblend)r%r&rms&&&rroros ;;vu --rc(V^8dQhRRRRRRRR/#)rr%rr&maskr r )r s"rrrs,11 1!,14?11rc0\P!WV4#)zUCreate composite using transparency mask. Alias for :py:func:`PIL.Image.composite`. )r composite)r%r&rqs&&&rrsrss ??64 00rNc(V^8dQhRRRRRRRR/#)rrrxoffsetr yoffsetz int | Noner r )r s"rrrs(99+99j9K9rcVfTpVP4VPVPPW44#)aXReturns a copy of the image where data has been offset by the given distances. Data wraps around the edges. If ``yoffset`` is omitted, it is assumed to be equal to ``xoffset``. :param image: Input image. :param xoffset: The horizontal distance. :param yoffset: The vertical distance. If omitted, both distances are set to the same value. )rrr rO)rrurvs&&&rrOrOs3 JJL ::ehhoog7 88r)g?r)N) __future__rrrrr"r*r.r3r8r<rArFrJrSrWr[r_rcrgrkrorsrOr rrrzs~$#-  . : 9 = ; 9==:E"J" = B 6 5 6.199r