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ImageChops.cpython-310.pyc
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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/dd�Z d/d d �Zd d � Zd d!� Zd"d#� Zd$d%� Zd&d'� Zd(d)� Zd*d+� Zd0d-d.�Zd,S )1� )�Imagec C s t �d| j|�S )zVFill a channel with a given grey level. :rtype: :py:class:`~PIL.Image.Image` �L)r �new�size)�image�value� r �0/usr/lib/python3/dist-packages/PIL/ImageChops.py�constant s r c C s | � � S )ziCopy a channel. Alias for :py:meth:`PIL.Image.Image.copy`. :rtype: :py:class:`~PIL.Image.Image` )�copy�r r r r � duplicate s r c C s | � � | �| j�� �S )z� Invert an image (channel). .. code-block:: python out = MAX - image :rtype: :py:class:`~PIL.Image.Image` )�load�_new�im� chop_invertr r r r �invert' s r c C �$ | � � |� � | �| j�|j��S )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_lighter��image1�image2r 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_add�r r �scale�offsetr 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 )z�Add 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 )z�Subtract 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 )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` )r r r �chop_orr r r r � logical_or r r< c C r )z�Logical 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 )z�Blend 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? )z�Create 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 �xoffset�yoffsetr 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,