U ڲg @sddlmZddlmZddddddZddd d d Zddd d d ZddddddZddddddZddddddZ ddddddZ ddddddZ ddddddZ ddddddZ ddddddZd;ddd d dd!d"d#Zd) annotations)Imagez Image.Imageint)imagevaluereturncCstd|j|S)zVFill a channel with a given gray level. :rtype: :py:class:`~PIL.Image.Image` L)rnewsize)rrr 2/tmp/pip-unpacked-wheel-xela2va7/PIL/ImageChops.pyconstantsr)rrcCs|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_newimZ chop_invertrr r r invert)s r)image1image2rcCs$||||j|jS)z Compares the two images, pixel by pixel, and returns a new image containing the lighter values. :: out = max(image1, image2) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_lighterrrr r r lighter6s rcCs$||||j|jS)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` )rrrZ chop_darkerrr r r darkerEs rcCs$||||j|jS)z Returns the absolute value of the pixel-by-pixel difference between the two images. :: out = abs(image1 - image2) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_differencerr r r differenceTs rcCs$||||j|jS)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_multiplyrr r r multiplycs rcCs$||||j|jS)z Superimposes two inverted images on top of each other. :: out = MAX - ((MAX - image1) * (MAX - image2) / MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_screenrr r r screents rcCs$||||j|jS)z Superimposes two images on top of each other using the Soft Light algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_soft_lightrr r r soft_lightsrcCs$||||j|jS)z Superimposes two images on top of each other using the Hard Light algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_hard_lightrr r r hard_lightsrcCs$||||j|jS)z| Superimposes two images on top of each other using the Overlay algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_overlayrr r r overlaysr ?float)rrscaleoffsetrcCs(||||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` )rrrZchop_addrrr#r$r r r adds r&cCs(||||j|j||S)z Subtracts two images, dividing the result by scale and adding the offset. If omitted, scale defaults to 1.0, and offset to 0.0. :: out = ((image1 - image2) / scale + offset) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_subtractr%r r r subtracts r'cCs$||||j|jS)zAdd two images, without clipping the result. :: out = ((image1 + image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_add_modulorr r r add_modulosr(cCs$||||j|jS)zSubtract two images, without clipping the result. :: out = ((image1 - image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_subtract_modulorr r r subtract_modulosr)cCs$||||j|jS)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_andrr r r logical_ands r*cCs$||||j|jS)zLogical OR between two images. Both of the images must have mode "1". :: out = ((image1 or image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_orrr r r logical_ors r+cCs$||||j|jS)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` )rrrZchop_xorrr r r logical_xors r,)rralpharcCst|||S)zBlend images using constant transparency weight. Alias for :py:func:`PIL.Image.blend`. :rtype: :py:class:`~PIL.Image.Image` )rblend)rrr-r r r r.sr.)rrmaskrcCst|||S)zCreate composite using transparency mask. Alias for :py:func:`PIL.Image.composite`. :rtype: :py:class:`~PIL.Image.Image` )r composite)rrr/r r r r0s r0Nz int | None)rxoffsetyoffsetrcCs(|dkr |}|||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$)rr1r2r r r r$(s r$)r!r)r!r)N) __future__rrrrrrrrrrrrr r&r'r(r)r*r+r,r.r0r$r r r r s4