a
    ēŻEb  ć                   @   s¾   d dl mZ dd Zdd Zdd Zdd	 Zd
d Zdd Zdd Zdd Z	dd Z
dd Zdd Zd/ddZd0ddZdd Zd d! Zd"d# Zd$d% Zd&d' Zd(d) Zd*d+ Zd1d-d.Zd,S )2é   )ŚImagec                 C   s   t  d| j|”S )zVFill a channel with a given grey level.

    :rtype: :py:class:`~PIL.Image.Image`
    ŚL)r   ŚnewŚsize)ŚimageŚvalue© r   śN/home/ja/django-apps/lartica_env/lib/python3.9/site-packages/PIL/ImageChops.pyŚconstant   s    r
   c                 C   s   |   ” S )ziCopy a channel. Alias for :py:meth:`PIL.Image.Image.copy`.

    :rtype: :py:class:`~PIL.Image.Image`
    )Ścopy©r   r   r   r	   Ś	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`
    )ŚloadŚ_newŚimZchop_invertr   r   r   r	   Śinvert'   s    r   c                 C   s$   |   ”  |  ”  |  | 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`
    )r   r   r   Zchop_lighter©Śimage1Śimage2r   r   r	   Ślighter6   s    r   c                 C   s$   |   ”  |  ”  |  | 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`
    )r   r   r   Zchop_darkerr   r   r   r	   ŚdarkerG   s    r   c                 C   s$   |   ”  |  ”  |  | j |j””S )zĖ
    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   Zchop_differencer   r   r   r	   Ś
differenceX   s    r   c                 C   s$   |   ”  |  ”  |  | 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`
    )r   r   r   Zchop_multiplyr   r   r   r	   Śmultiplyi   s    r   c                 C   s$   |   ”  |  ”  |  | j |j””S )zĆ
    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   Zchop_screenr   r   r   r	   Śscreen|   s    r   c                 C   s$   |   ”  |  ”  |  | j |j””S )z
    Superimposes two images on top of each other using the Soft Light algorithm

    :rtype: :py:class:`~PIL.Image.Image`
    )r   r   r   Zchop_soft_lightr   r   r   r	   Ś
soft_light   s    r   c                 C   s$   |   ”  |  ”  |  | j |j””S )z
    Superimposes two images on top of each other using the Hard Light algorithm

    :rtype: :py:class:`~PIL.Image.Image`
    )r   r   r   Zchop_hard_lightr   r   r   r	   Ś
hard_light   s    r   c                 C   s$   |   ”  |  ”  |  | j |j””S )z|
    Superimposes two images on top of each other using the Overlay algorithm

    :rtype: :py:class:`~PIL.Image.Image`
    )r   r   r   Zchop_overlayr   r   r   r	   Śoverlay¤   s    r   ē      š?é    c                 C   s(   |   ”  |  ”  |  | 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   Zchop_add©r   r   ŚscaleŚoffsetr   r   r	   Śadd°   s    r"   c                 C   s(   |   ”  |  ”  |  | 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`
    )r   r   r   Zchop_subtractr   r   r   r	   ŚsubtractĮ   s    r#   c                 C   s$   |   ”  |  ”  |  | j |j””S )z Add two images, without clipping the result.

    .. code-block:: python

        out = ((image1 + image2) % MAX)

    :rtype: :py:class:`~PIL.Image.Image`
    )r   r   r   Zchop_add_modulor   r   r   r	   Ś
add_moduloŅ   s    
r$   c                 C   s$   |   ”  |  ”  |  | j |j””S )z„Subtract two images, without clipping the result.

    .. code-block:: python

        out = ((image1 - image2) % MAX)

    :rtype: :py:class:`~PIL.Image.Image`
    )r   r   r   Zchop_subtract_modulor   r   r   r	   Śsubtract_moduloį   s    
r%   c                 C   s$   |   ”  |  ”  |  | j |j””S )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   Zchop_andr   r   r   r	   Ślogical_andš   s    r&   c                 C   s$   |   ”  |  ”  |  | j |j””S )zæLogical 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   Zchop_orr   r   r   r	   Ś
logical_or  s    r'   c                 C   s$   |   ”  |  ”  |  | j |j””S )zĢLogical 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   Zchop_xorr   r   r   r	   Ślogical_xor  s    r(   c                 C   s   t  | ||”S )zBlend images using constant transparency weight. Alias for
    :py:func:`PIL.Image.blend`.

    :rtype: :py:class:`~PIL.Image.Image`
    )r   Śblend)r   r   Śalphar   r   r	   r)   &  s    r)   c                 C   s   t  | ||”S )zCreate composite using transparency mask. Alias for
    :py:func:`PIL.Image.composite`.

    :rtype: :py:class:`~PIL.Image.Image`
    )r   Ś	composite)r   r   Śmaskr   r   r	   r+   0  s    r+   Nc                 C   s(   |du 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   ZxoffsetZyoffsetr   r   r	   r!   :  s    r!   )r   r   )r   r   )N)Ś r   r
   r   r   r   r   r   r   r   r   r   r   r"   r#   r$   r%   r&   r'   r(   r)   r+   r!   r   r   r   r	   Ś<module>   s*   		



