o
    1ήc70                     @   s   d Z dg dg dgddg dg dgddg dg d	gddg d
g dgddg dg dgddg dg dgddg dg dgddg dg dgddg d
g dgdd	ZdS )u  
JPEG quality settings equivalent to the Photoshop settings.
Can be used when saving JPEG files.

The following presets are available by default:
``web_low``, ``web_medium``, ``web_high``, ``web_very_high``, ``web_maximum``,
``low``, ``medium``, ``high``, ``maximum``.
More presets can be added to the :py:data:`presets` dict if needed.

To apply the preset, specify::

  quality="preset_name"

To apply only the quantization table::

  qtables="preset_name"

To apply only the subsampling setting::

  subsampling="preset_name"

Example::

  im.save("image_name.jpg", quality="web_high")

Subsampling
-----------

Subsampling is the practice of encoding images by implementing less resolution
for chroma information than for luma information.
(ref.: https://en.wikipedia.org/wiki/Chroma_subsampling)

Possible subsampling values are 0, 1 and 2 that correspond to 4:4:4, 4:2:2 and
4:2:0.

You can get the subsampling of a JPEG with the
:func:`.JpegImagePlugin.get_sampling` function.

In JPEG compressed data a JPEG marker is used instead of an EXIF tag.
(ref.: https://exiv2.org/tags.html)


Quantization tables
-------------------

They are values use by the DCT (Discrete cosine transform) to remove
*unnecessary* information from the image (the lossy part of the compression).
(ref.: https://en.wikipedia.org/wiki/Quantization_matrix#Quantization_matrices,
https://en.wikipedia.org/wiki/JPEG#Quantization)

You can get the quantization tables of a JPEG with::

  im.quantization

This will return a dict with a number of lists. You can pass this dict
directly as the qtables argument when saving a JPEG.

The quantization table format in presets is a list with sublists. These formats
are interchangeable.

Libjpeg ref.:
https://web.archive.org/web/20120328125543/http://www.jpegcameras.com/libjpeg/libjpeg-3.html

   )@         '   2   .   >   D   r         &   r   5   A   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   r   r	   r	   r	   r	   r	   r   r   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   )@   r       r   6   r	   r	   r	   r         r   r   r	   r	   r	   r   r   r   +   B   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	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   r	   )subsamplingquantization)@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   3   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#   )@   r   r%   r   r   r   r   0   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   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#   r#       )@      r,   r+   	   r   r   r   r,      r.   r+      
   r   r   r,   r.   r.   r+   r0   r      r'   r+   r+   r+   r   r   r   r'   r   r-   r/   r0   r   r   r   r   r   r   r0   r   r   r   r   r   r   r   r   r1   r'   r   r   r   r   r   r   r'   r   r   r   r   r   )@   r2   r   r   r   r   r   r   r2   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   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   r   r   r   )@r   r   r   r      r,   r.   r+   r   r   r   r   r3   r,   r.   r+   r   r   r   r   r,   r.   r2   r-   r   r   r   r,   r.   r2   r-   r   r3   r3   r,   r.   r/   r0   r   r   r,   r,   r.   r2   r0   r   r   r   r.   r.   r2   r-   r   r   r   r   r+   r+   r-   r   r   r   r   r   )@r3   r3   r.   r-   r   r   r   r   r3   r,   r+   r   r1   r   r   r   r.   r+   r-   r1   r   r   r   r   r-   r   r1   r   r   r   r   r   r   r1   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   r   r   r   r   )@   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r4   r   r4   r4   r4   r4   r4   r4   r   r   r4   r4   r4   r4   r4   r   r   r3   r4   r4   r4   r4   r   r   r3   r3   r4   r4   r4   r   r   r3   r3   r3   r4   r4   r   r   r3   r3   r3   r3   )@r4   r4   r4   r   r   r3   r3   r3   r4   r4   r4   r   r3   r3   r3   r3   r4   r4   r4   r3   r3   r3   r3   r3   r   r   r3   r3   r3   r3   r3   r3   r   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   r3   )@r
   r1   r1   r   r   r    "   r%   r1   r   r   r'   r   r   r   r   r1   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   r   r   r   r   r   r5   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   r1   r1   r   r   r   r(   r   r1   r1   r   r   r   r   r   r1   r1   r   r   r   r   r   r   r1   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   r   r   r   r   )@r   r/   r/   r   r%   r   r   r%   r/   r-   r-   r   r   r'   r   r   r/   r-   r0   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   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%   r%   r   r1   r1   r1   r1   r   r   r   r   r1   r1   r1   r   r   r   r   r   r1   r1   r   r   r   r   r   r   r1   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   r   r   r   r   )@r+   r,   r,   r+   r-   r   r   r   r,   r.   r.   r+   r/   r0   r   r   r,   r.   r.   r+   r0   r   r   r   r+   r+   r+   r   r   r   r   r   r-   r/   r0   r   r   r   r   r   r   r0   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   )@r2   r2   r   r   r   r   r%   r%   r2   r   r   r1   r1   r   r   r   r   r   r1   r1   r   r   r   r   r   r1   r1   r   r   r   r   r   r   r1   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   r   r   r   r   )@r3   r3   r.   r-   r   r   r   r   r3   r,   r+   r0   r1   r   r   r   r.   r+   r-   r1   r   r   r   r   r-   r0   r1   r   r   r   r   r   r   r1   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   r   r   r   r   )	web_low
web_mediumweb_highweb_very_highweb_maximumlowmediumhighmaximumN)__doc__presets rA   rA   6/tmp/pip-target-vg8gfxp4/lib/python/PIL/JpegPresets.py<module>   s`    C 
