o
    پh70                     @   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	   )ZsubsamplingZ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)   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   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   r*   r,   r)   r   r   r   r   r*   r,   r0   r+   r   r   r   r*   r,   r0   r+   r   r1   r1   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   )@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   r   r   r   r   r   r   r   )@   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r2   r   r2   r2   r2   r2   r2   r2   r   r   r2   r2   r2   r2   r2   r   r   r1   r2   r2   r2   r2   r   r   r1   r1   r2   r2   r2   r   r   r1   r1   r1   r2   r2   r   r   r1   r1   r1   r1   )@r2   r2   r2   r   r   r1   r1   r1   r2   r2   r2   r   r1   r1   r1   r1   r2   r2   r2   r1   r1   r1   r1   r1   r   r   r1   r1   r1   r1   r1   r1   r   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   r1   )@r
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web_mediumZweb_highZweb_very_highZweb_maximumlowZmediumhighmaximumN)__doc__Zpresets r8   r8   U/home/www/facesmatcher.com/frenv_dlib/lib/python3.10/site-packages/PIL/JpegPresets.py<module>   s`    C 
