o s h @sddlmZddlmZd>d d Zd?d d Zd?d dZd@ddZd@ddZd@ddZ d@ddZ d@ddZ d@ddZ d@ddZ d@dd Z dAdBd%d&Z dAdBd'd(Zd@d)d*Zd@d+d,Zd@d-d.Zd@d/d0Zd@d1d2ZdCd4d5ZdDd7d8ZdEdFd=d$Zd9S)G) annotations)Imageimage Image.ImagevalueintreturncCstd|j|S)zVFill a channel with a given gray level. :rtype: :py:class:`~PIL.Image.Image` L)rnewsize)rrr b/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/PIL/ImageChops.pyconstantsrcCs|S)ziCopy a channel. Alias for :py:meth:`PIL.Image.Image.copy`. :rtype: :py:class:`~PIL.Image.Image` )copyrr r r duplicate srcCs|||jS)zl Invert an image (channel). :: out = MAX - image :rtype: :py:class:`~PIL.Image.Image` )load_newim chop_invertrr r rinvert)s rimage1image2cC$||||j|jS)z 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` )rrr chop_lighterrrr r rlighter6 rcCr)z 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` )rrr chop_darkerrr r rdarkerErr cCr)z Returns the absolute value of the pixel-by-pixel difference between the two images. :: out = abs(image1 - image2) :rtype: :py:class:`~PIL.Image.Image` )rrrchop_differencerr r r differenceTrr"cCr)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` )rrr chop_multiplyrr r rmultiplycs r$cCr)z Superimposes two inverted images on top of each other. :: out = MAX - ((MAX - image1) * (MAX - image2) / MAX) :rtype: :py:class:`~PIL.Image.Image` )rrr chop_screenrr r rscreents r&cCr)z Superimposes two images on top of each other using the Soft Light algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrchop_soft_lightrr r r soft_lightr(cCr)z Superimposes two images on top of each other using the Hard Light algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrchop_hard_lightrr r r hard_lightr)r+cCr)z| Superimposes two images on top of each other using the Overlay algorithm :rtype: :py:class:`~PIL.Image.Image` )rrr chop_overlayrr r roverlayr)r-?scalefloatoffsetcC(||||j|j||S)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) :rtype: :py:class:`~PIL.Image.Image` )rrrchop_addrrr/r1r r radd r5cCr2)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) :rtype: :py:class:`~PIL.Image.Image` )rrr chop_subtractr4r r rsubtractr6r8cCr)zAdd two images, without clipping the result. :: out = ((image1 + image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrchop_add_modulorr r r add_modulor:cCr)zSubtract two images, without clipping the result. :: out = ((image1 - image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrchop_subtract_modulorr r rsubtract_modulor;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` )rrrchop_andrr r r logical_ands r?cCr)zLogical OR between two images. Both of the images must have mode "1". :: out = ((image1 or image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrchop_orrr r r logical_orrrAcCr)zLogical XOR between two images. Both of the images must have mode "1". :: out = ((bool(image1) != bool(image2)) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrchop_xorrr r r logical_xorrrCalphacCt|||S)zBlend images using constant transparency weight. Alias for :py:func:`PIL.Image.blend`. :rtype: :py:class:`~PIL.Image.Image` )rblend)rrrDr r rrFsrFmaskcCrE)zCreate composite using transparency mask. Alias for :py:func:`PIL.Image.composite`. :rtype: :py:class:`~PIL.Image.Image` )r composite)rrrGr r rrHs rHNxoffsetyoffset int | NonecCs(|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)rrrr1)rrIrJr r rr1(s )rrrrr r)rrr r)rrrrr r)r.r) rrrrr/r0r1r0r r)rrrrrDr0r r)rrrrrGrr r)N)rrrIrrJrKr r) __future__rrrrrrr r"r$r&r(r+r-r5r8r:r=r?rArCrFrHr1r r r rs2