U ¶©Þaã@s¾ddlmZdd„Zdd„Zdd„Zdd „Zd d „Zd d „Zdd„Zdd„Z dd„Z dd„Z dd„Z d/dd„Z d0dd„Zdd„Zd d!„Zd"d#„Zd$d%„Zd&d'„Zd(d)„Zd*d+„Zd1d-d.„Zd,S)2é)ÚImagecCst d|j|¡S)zVFill a channel with a given grey level. :rtype: :py:class:`~PIL.Image.Image` ÚL)rÚnewÚsize)ÚimageÚvalue©rú}/home/adriano.carvalho/ftp/files/BrinquedotecaVirtual/brinquedotecavirtual/venv/lib/python3.8/site-packages/PIL/ImageChops.pyÚconstantsr cCs| ¡S)ziCopy a channel. Alias for :py:meth:`PIL.Image.Image.copy`. :rtype: :py:class:`~PIL.Image.Image` )Úcopy©rrrr Ú duplicatesr cCs| ¡| |j ¡¡S)z… Invert an image (channel). .. code-block:: python out = MAX - image :rtype: :py:class:`~PIL.Image.Image` )ÚloadÚ_newÚimZ chop_invertr rrr Úinvert's rcCs$| ¡| ¡| |j |j¡¡S)zÖ Compares the two images, pixel by pixel, and returns a new image containing the lighter values. .. code-block:: python out = max(image1, image2) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_lighter©Úimage1Úimage2rrr Úlighter6s rcCs$| ¡| ¡| |j |j¡¡S)zÕ Compares the two images, pixel by pixel, and returns a new image containing the darker values. .. code-block:: python out = min(image1, image2) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_darkerrrrr ÚdarkerGs rcCs$| ¡| ¡| |j |j¡¡S)zË Returns the absolute value of the pixel-by-pixel difference between the two images. .. code-block:: python out = abs(image1 - image2) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_differencerrrr Ú differenceXs rcCs$| ¡| ¡| |j |j¡¡S)a6 Superimposes two images on top of each other. If you multiply an image with a solid black image, the result is black. If you multiply with a solid white image, the image is unaffected. .. code-block:: python out = image1 * image2 / MAX :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_multiplyrrrr ÚmultiplyisrcCs$| ¡| ¡| |j |j¡¡S)zà Superimposes two inverted images on top of each other. .. code-block:: python out = MAX - ((MAX - image1) * (MAX - image2) / MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_screenrrrr Úscreen|s rcCs$| ¡| ¡| |j |j¡¡S)z Superimposes two images on top of each other using the Soft Light algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_soft_lightrrrr Ú soft_lightŒsrcCs$| ¡| ¡| |j |j¡¡S)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_light˜srcCs$| ¡| ¡| |j |j¡¡S)z| Superimposes two images on top of each other using the Overlay algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_overlayrrrr Úoverlay¤srçð?écCs(| ¡| ¡| |j |j||¡¡S)a Adds two images, dividing the result by scale and adding the offset. If omitted, scale defaults to 1.0, and offset to 0.0. .. code-block:: python out = ((image1 + image2) / scale + offset) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_add©rrZscaleÚoffsetrrr Úadd°s r!cCs(| ¡| ¡| |j |j||¡¡S)a Subtracts two images, dividing the result by scale and adding the offset. If omitted, scale defaults to 1.0, and offset to 0.0. .. code-block:: python out = ((image1 - image2) / scale + offset) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_subtractrrrr ÚsubtractÁs r"cCs$| ¡| ¡| |j |j¡¡S)z Add two images, without clipping the result. .. code-block:: python out = ((image1 + image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_add_modulorrrr Ú add_moduloÒs r#cCs$| ¡| ¡| |j |j¡¡S)z¥Subtract two images, without clipping the result. .. code-block:: python out = ((image1 - image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_subtract_modulorrrr Úsubtract_moduloás r$cCs$| ¡| ¡| |j |j¡¡S)aƒLogical AND between two images. Both of the images must have mode "1". If you would like to perform a logical AND on an image with a mode other than "1", try :py:meth:`~PIL.ImageChops.multiply` instead, using a black-and-white mask as the second image. .. code-block:: python out = ((image1 and image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_andrrrr Ú logical_andðsr%cCs$| ¡| ¡| |j |j¡¡S)z¿Logical OR between two images. Both of the images must have mode "1". .. code-block:: python out = ((image1 or image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_orrrrr Ú logical_ors r&cCs$| ¡| ¡| |j |j¡¡S)zÌLogical XOR between two images. Both of the images must have mode "1". .. code-block:: python out = ((bool(image1) != bool(image2)) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_xorrrrr Ú logical_xors r'cCst |||¡S)z‰Blend images using constant transparency weight. Alias for :py:func:`PIL.Image.blend`. :rtype: :py:class:`~PIL.Image.Image` )rÚblend)rrÚalpharrr r(&sr(cCst |||¡S)z†Create composite using transparency mask. Alias for :py:func:`PIL.Image.composite`. :rtype: :py:class:`~PIL.Image.Image` )rÚ composite)rrÚmaskrrr r*0sr*NcCs(|dkr |}| ¡| |j ||¡¡S)a~Returns a copy of the image where data has been offset by the given distances. Data wraps around the edges. If ``yoffset`` is omitted, it is assumed to be equal to ``xoffset``. :param xoffset: The horizontal distance. :param yoffset: The vertical distance. If omitted, both distances are set to the same value. :rtype: :py:class:`~PIL.Image.Image` N)rrrr )rZxoffsetZyoffsetrrr r :s r )rr)rr)N)Úrr r rrrrrrrrrr!r"r#r$r%r&r'r(r*r rrrr Ús*