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__pycache__
[ DIR ]
drwxr-sr-x
2025-04-10 17:07
BdfFontFile.py
2.75
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BlpImagePlugin.py
13.96
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BmpImagePlugin.py
14.04
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BufrStubImagePlugin.py
1.48
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ContainerIO.py
2.82
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CurImagePlugin.py
1.64
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DcxImagePlugin.py
2.09
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DdsImagePlugin.py
5.34
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EpsImagePlugin.py
11.84
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ExifTags.py
8.8
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2025-04-10 17:07
FitsStubImagePlugin.py
1.59
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FliImagePlugin.py
4.17
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FontFile.py
2.7
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FpxImagePlugin.py
6.51
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FtexImagePlugin.py
3.23
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GbrImagePlugin.py
2.74
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GdImageFile.py
2.43
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GifImagePlugin.py
28.2
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GimpGradientFile.py
3.27
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GimpPaletteFile.py
1.24
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GribStubImagePlugin.py
1.51
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2025-04-10 17:07
Hdf5StubImagePlugin.py
1.48
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IcnsImagePlugin.py
11.44
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IcoImagePlugin.py
9.9
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ImImagePlugin.py
10.57
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Image.py
112.93
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ImageChops.py
7.14
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ImageCms.py
35.89
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ImageColor.py
8.43
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ImageDraw.py
18.87
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ImageDraw2.py
4.9
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ImageEnhance.py
3.12
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ImageFile.py
20.52
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ImageFilter.py
15.51
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ImageFont.py
35.23
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ImageGrab.py
3.54
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ImageMath.py
6.89
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ImageMode.py
1.6
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ImageMorph.py
7.71
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ImageOps.py
17.6
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ImagePalette.py
6.2
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ImagePath.py
336
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ImageQt.py
5.66
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ImageSequence.py
1.81
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ImageShow.py
6.21
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ImageStat.py
3.81
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ImageTk.py
9.11
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ImageTransform.py
2.78
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ImageWin.py
7.03
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ImtImagePlugin.py
2.15
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IptcImagePlugin.py
5.54
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Jpeg2KImagePlugin.py
8.52
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JpegImagePlugin.py
27.24
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2025-04-10 17:07
JpegPresets.py
12.41
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2025-04-10 17:07
McIdasImagePlugin.py
1.71
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2025-04-10 17:07
MicImagePlugin.py
2.54
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MpegImagePlugin.py
1.76
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MpoImagePlugin.py
4.14
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MspImagePlugin.py
5.4
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PSDraw.py
6.58
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PaletteFile.py
1.08
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2025-04-10 17:07
PalmImagePlugin.py
8.88
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2025-04-10 17:07
PcdImagePlugin.py
1.47
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2025-04-10 17:07
PcfFontFile.py
6.12
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2025-04-10 17:07
PcxImagePlugin.py
5.35
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2025-04-10 17:07
PdfImagePlugin.py
7.4
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2025-04-10 17:07
PdfParser.py
33.62
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2025-04-10 17:07
PixarImagePlugin.py
1.61
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2025-04-10 17:07
PngImagePlugin.py
40.81
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2025-04-10 17:07
PpmImagePlugin.py
4.35
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2025-04-10 17:07
PsdImagePlugin.py
7.45
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2025-04-10 17:07
PyAccess.py
9.37
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2025-04-10 17:07
SgiImagePlugin.py
5.96
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2025-04-10 17:07
SpiderImagePlugin.py
9.31
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2025-04-10 17:07
SunImagePlugin.py
4.2
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2025-04-10 17:07
TarIO.py
1.41
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2025-04-10 17:07
TgaImagePlugin.py
6.12
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2025-04-10 17:07
TiffImagePlugin.py
65.92
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2025-04-10 17:07
TiffTags.py
14.21
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2025-04-10 17:07
WalImageFile.py
5.4
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2025-04-10 17:07
WebPImagePlugin.py
10.54
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2025-04-10 17:07
WmfImagePlugin.py
4.5
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2025-04-10 17:07
XVThumbImagePlugin.py
1.9
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2025-04-10 17:07
XbmImagePlugin.py
2.39
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2025-04-10 17:07
XpmImagePlugin.py
3
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__init__.py
3.19
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2025-04-10 17:07
__main__.py
41
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2025-04-10 17:07
_binary.py
1.75
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2025-04-10 17:07
_imaging.cpython-35m-x86_64-linux-gnu.so
637.91
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-rwxr-xr-x
2025-04-10 17:07
_imagingcms.cpython-35m-x86_64-linux-gnu.so
44.27
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-rwxr-xr-x
2025-04-10 17:07
_imagingft.cpython-35m-x86_64-linux-gnu.so
39.9
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_imagingmath.cpython-35m-x86_64-linux-gnu.so
24.43
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2025-04-10 17:07
_imagingmorph.cpython-35m-x86_64-linux-gnu.so
8.12
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_imagingtk.cpython-35m-x86_64-linux-gnu.so
9.37
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2025-04-10 17:07
_tkinter_finder.py
622
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2025-04-10 17:07
_util.py
503
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2025-04-10 17:07
_version.py
50
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2025-04-10 17:07
_webp.cpython-35m-x86_64-linux-gnu.so
38.5
KB
-rwxr-xr-x
2025-04-10 17:07
features.py
8.62
KB
-rw-r--r--
2025-04-10 17:07
Save
Rename
""" 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 `JpegImagePlugin.get_sampling(im)` function. In JPEG compressed data a JPEG marker is used instead of an EXIF tag. (ref.: https://www.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 arrays. You can pass this dict directly as the qtables argument when saving a JPEG. The tables format between im.quantization and quantization in presets differ in 3 ways: 1. The base container of the preset is a list with sublists instead of dict. dict[0] -> list[0], dict[1] -> list[1], ... 2. Each table in a preset is a list instead of an array. 3. The zigzag order is remove in the preset (needed by libjpeg >= 6a). You can convert the dict format to the preset format with the `JpegImagePlugin.convert_dict_qtables(dict_qtables)` function. Libjpeg ref.: https://web.archive.org/web/20120328125543/http://www.jpegcameras.com/libjpeg/libjpeg-3.html """ # fmt: off presets = { 'web_low': {'subsampling': 2, # "4:2:0" 'quantization': [ [20, 16, 25, 39, 50, 46, 62, 68, 16, 18, 23, 38, 38, 53, 65, 68, 25, 23, 31, 38, 53, 65, 68, 68, 39, 38, 38, 53, 65, 68, 68, 68, 50, 38, 53, 65, 68, 68, 68, 68, 46, 53, 65, 68, 68, 68, 68, 68, 62, 65, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68], [21, 25, 32, 38, 54, 68, 68, 68, 25, 28, 24, 38, 54, 68, 68, 68, 32, 24, 32, 43, 66, 68, 68, 68, 38, 38, 43, 53, 68, 68, 68, 68, 54, 54, 66, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68] ]}, 'web_medium': {'subsampling': 2, # "4:2:0" 'quantization': [ [16, 11, 11, 16, 23, 27, 31, 30, 11, 12, 12, 15, 20, 23, 23, 30, 11, 12, 13, 16, 23, 26, 35, 47, 16, 15, 16, 23, 26, 37, 47, 64, 23, 20, 23, 26, 39, 51, 64, 64, 27, 23, 26, 37, 51, 64, 64, 64, 31, 23, 35, 47, 64, 64, 64, 64, 30, 30, 47, 64, 64, 64, 64, 64], [17, 15, 17, 21, 20, 26, 38, 48, 15, 19, 18, 17, 20, 26, 35, 43, 17, 18, 20, 22, 26, 30, 46, 53, 21, 17, 22, 28, 30, 39, 53, 64, 20, 20, 26, 30, 39, 48, 64, 64, 26, 26, 30, 39, 48, 63, 64, 64, 38, 35, 46, 53, 64, 64, 64, 64, 48, 43, 53, 64, 64, 64, 64, 64] ]}, 'web_high': {'subsampling': 0, # "4:4:4" 'quantization': [ [6, 4, 4, 6, 9, 11, 12, 16, 4, 5, 5, 6, 8, 10, 12, 12, 4, 5, 5, 6, 10, 12, 14, 19, 6, 6, 6, 11, 12, 15, 19, 28, 9, 8, 10, 12, 16, 20, 27, 31, 11, 10, 12, 15, 20, 27, 31, 31, 12, 12, 14, 19, 27, 31, 31, 31, 16, 12, 19, 28, 31, 31, 31, 31], [7, 7, 13, 24, 26, 31, 31, 31, 7, 12, 16, 21, 31, 31, 31, 31, 13, 16, 17, 31, 31, 31, 31, 31, 24, 21, 31, 31, 31, 31, 31, 31, 26, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31] ]}, 'web_very_high': {'subsampling': 0, # "4:4:4" 'quantization': [ [2, 2, 2, 2, 3, 4, 5, 6, 2, 2, 2, 2, 3, 4, 5, 6, 2, 2, 2, 2, 4, 5, 7, 9, 2, 2, 2, 4, 5, 7, 9, 12, 3, 3, 4, 5, 8, 10, 12, 12, 4, 4, 5, 7, 10, 12, 12, 12, 5, 5, 7, 9, 12, 12, 12, 12, 6, 6, 9, 12, 12, 12, 12, 12], [3, 3, 5, 9, 13, 15, 15, 15, 3, 4, 6, 11, 14, 12, 12, 12, 5, 6, 9, 14, 12, 12, 12, 12, 9, 11, 14, 12, 12, 12, 12, 12, 13, 14, 12, 12, 12, 12, 12, 12, 15, 12, 12, 12, 12, 12, 12, 12, 15, 12, 12, 12, 12, 12, 12, 12, 15, 12, 12, 12, 12, 12, 12, 12] ]}, 'web_maximum': {'subsampling': 0, # "4:4:4" 'quantization': [ [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 2, 2, 3, 1, 1, 1, 1, 2, 2, 3, 3, 1, 1, 1, 2, 2, 3, 3, 3, 1, 1, 2, 2, 3, 3, 3, 3], [1, 1, 1, 2, 2, 3, 3, 3, 1, 1, 1, 2, 3, 3, 3, 3, 1, 1, 1, 3, 3, 3, 3, 3, 2, 2, 3, 3, 3, 3, 3, 3, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] ]}, 'low': {'subsampling': 2, # "4:2:0" 'quantization': [ [18, 14, 14, 21, 30, 35, 34, 17, 14, 16, 16, 19, 26, 23, 12, 12, 14, 16, 17, 21, 23, 12, 12, 12, 21, 19, 21, 23, 12, 12, 12, 12, 30, 26, 23, 12, 12, 12, 12, 12, 35, 23, 12, 12, 12, 12, 12, 12, 34, 12, 12, 12, 12, 12, 12, 12, 17, 12, 12, 12, 12, 12, 12, 12], [20, 19, 22, 27, 20, 20, 17, 17, 19, 25, 23, 14, 14, 12, 12, 12, 22, 23, 14, 14, 12, 12, 12, 12, 27, 14, 14, 12, 12, 12, 12, 12, 20, 14, 12, 12, 12, 12, 12, 12, 20, 12, 12, 12, 12, 12, 12, 12, 17, 12, 12, 12, 12, 12, 12, 12, 17, 12, 12, 12, 12, 12, 12, 12] ]}, 'medium': {'subsampling': 2, # "4:2:0" 'quantization': [ [12, 8, 8, 12, 17, 21, 24, 17, 8, 9, 9, 11, 15, 19, 12, 12, 8, 9, 10, 12, 19, 12, 12, 12, 12, 11, 12, 21, 12, 12, 12, 12, 17, 15, 19, 12, 12, 12, 12, 12, 21, 19, 12, 12, 12, 12, 12, 12, 24, 12, 12, 12, 12, 12, 12, 12, 17, 12, 12, 12, 12, 12, 12, 12], [13, 11, 13, 16, 20, 20, 17, 17, 11, 14, 14, 14, 14, 12, 12, 12, 13, 14, 14, 14, 12, 12, 12, 12, 16, 14, 14, 12, 12, 12, 12, 12, 20, 14, 12, 12, 12, 12, 12, 12, 20, 12, 12, 12, 12, 12, 12, 12, 17, 12, 12, 12, 12, 12, 12, 12, 17, 12, 12, 12, 12, 12, 12, 12] ]}, 'high': {'subsampling': 0, # "4:4:4" 'quantization': [ [6, 4, 4, 6, 9, 11, 12, 16, 4, 5, 5, 6, 8, 10, 12, 12, 4, 5, 5, 6, 10, 12, 12, 12, 6, 6, 6, 11, 12, 12, 12, 12, 9, 8, 10, 12, 12, 12, 12, 12, 11, 10, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 16, 12, 12, 12, 12, 12, 12, 12], [7, 7, 13, 24, 20, 20, 17, 17, 7, 12, 16, 14, 14, 12, 12, 12, 13, 16, 14, 14, 12, 12, 12, 12, 24, 14, 14, 12, 12, 12, 12, 12, 20, 14, 12, 12, 12, 12, 12, 12, 20, 12, 12, 12, 12, 12, 12, 12, 17, 12, 12, 12, 12, 12, 12, 12, 17, 12, 12, 12, 12, 12, 12, 12] ]}, 'maximum': {'subsampling': 0, # "4:4:4" 'quantization': [ [2, 2, 2, 2, 3, 4, 5, 6, 2, 2, 2, 2, 3, 4, 5, 6, 2, 2, 2, 2, 4, 5, 7, 9, 2, 2, 2, 4, 5, 7, 9, 12, 3, 3, 4, 5, 8, 10, 12, 12, 4, 4, 5, 7, 10, 12, 12, 12, 5, 5, 7, 9, 12, 12, 12, 12, 6, 6, 9, 12, 12, 12, 12, 12], [3, 3, 5, 9, 13, 15, 15, 15, 3, 4, 6, 10, 14, 12, 12, 12, 5, 6, 9, 14, 12, 12, 12, 12, 9, 10, 14, 12, 12, 12, 12, 12, 13, 14, 12, 12, 12, 12, 12, 12, 15, 12, 12, 12, 12, 12, 12, 12, 15, 12, 12, 12, 12, 12, 12, 12, 15, 12, 12, 12, 12, 12, 12, 12] ]}, } # fmt: on