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ImageChops.cpython-310.pyc
o Z#a @ s d dl mZ dd Zdd Zdd Zdd Zd d Zd d Zdd Zdd Z dd Z dd Z dd Z d/ddZ d/d d Zd d Zd d! Zd"d# Zd$d% Zd&d' Zd(d) Zd*d+ Zd0d-d.Zd,S )1 )Imagec C s t d| j|S )zVFill a channel with a given grey level. :rtype: :py:class:`~PIL.Image.Image` L)r newsize)imagevalue r 0/usr/lib/python3/dist-packages/PIL/ImageChops.pyconstant s r c C s | S )ziCopy a channel. Alias for :py:meth:`PIL.Image.Image.copy`. :rtype: :py:class:`~PIL.Image.Image` )copyr r r r duplicate s r c C s | | | j S )z Invert an image (channel). .. code-block:: python out = MAX - image :rtype: :py:class:`~PIL.Image.Image` )load_newim chop_invertr r r r invert' s r c C $ | | | | j|jS )z 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` )r r r chop_lighterimage1image2r r r lighter6 r c C r )z 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` )r r r chop_darkerr r r r darkerG r r c C r )z 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` )r r r chop_differencer r r r differenceX r r c C r )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` )r r r chop_multiplyr r r r multiplyi s r c C r )z 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` )r r r chop_screenr r r r screen| s r! c C r )z Superimposes two images on top of each other using the Soft Light algorithm :rtype: :py:class:`~PIL.Image.Image` )r r r chop_soft_lightr r r r soft_light r# c C r )z Superimposes two images on top of each other using the Hard Light algorithm :rtype: :py:class:`~PIL.Image.Image` )r r r chop_hard_lightr r r r hard_light r$ r& c C r )z| Superimposes two images on top of each other using the Overlay algorithm :rtype: :py:class:`~PIL.Image.Image` )r r r chop_overlayr r r r overlay r$ r( ? c C ( | | | | 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` )r r r chop_addr r scaleoffsetr r r add r0 c C r+ )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` )r r r chop_subtractr- r r r subtract r1 r3 c C r )zAdd two images, without clipping the result. .. code-block:: python out = ((image1 + image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )r r r chop_add_modulor r r r add_modulo r5 c C r )zSubtract two images, without clipping the result. .. code-block:: python out = ((image1 - image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )r r r chop_subtract_modulor r r r subtract_modulo r6 r8 c C r )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. .. code-block:: python out = ((image1 and image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )r r r chop_andr r r r logical_and s r: c C r )zLogical 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` )r r r chop_orr r r r logical_or r r< c C r )zLogical 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` )r r r chop_xorr r r r logical_xor r r> c C t | ||S )zBlend images using constant transparency weight. Alias for :py:func:`PIL.Image.blend`. :rtype: :py:class:`~PIL.Image.Image` )r blend)r r alphar r r r@ & r@ c C r? )zCreate composite using transparency mask. Alias for :py:func:`PIL.Image.composite`. :rtype: :py:class:`~PIL.Image.Image` )r composite)r r maskr r r rC 0 rB rC Nc C s( |du r|}| | | 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)r r r r/ )r xoffsetyoffsetr r r r/ : s r/ )r) r* )N) r r r r r r r r r! r# r& r( r0 r3 r5 r8 r: r< r> r@ rC r/ r r r r <module> s,