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https://github.com/python-pillow/Pillow.git
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d50445ff30
Similar to the recent adoption of Black. isort is a Python utility to sort imports alphabetically and automatically separate into sections. By using isort, contributors can quickly and automatically conform to the projects style without thinking. Just let the tool do it. Uses the configuration recommended by the Black to avoid conflicts of style. Rewrite TestImageQt.test_deprecated to no rely on import order.
204 lines
5.6 KiB
Python
Executable File
204 lines
5.6 KiB
Python
Executable File
#!/usr/bin/env python
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# minimal sanity check
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from __future__ import print_function
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import os
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import sys
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from PIL import Image, features
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try:
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Image.core.ping
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except ImportError as v:
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print("***", v)
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sys.exit()
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except AttributeError:
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pass
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def _info(im):
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im.load()
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return im.format, im.mode, im.size
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def testimage():
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"""
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PIL lets you create in-memory images with various pixel types:
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>>> from PIL import Image, ImageDraw, ImageFilter, ImageMath
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>>> im = Image.new("1", (128, 128)) # monochrome
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>>> _info(im)
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(None, '1', (128, 128))
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>>> _info(Image.new("L", (128, 128))) # grayscale (luminance)
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(None, 'L', (128, 128))
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>>> _info(Image.new("P", (128, 128))) # palette
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(None, 'P', (128, 128))
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>>> _info(Image.new("RGB", (128, 128))) # truecolor
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(None, 'RGB', (128, 128))
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>>> _info(Image.new("I", (128, 128))) # 32-bit integer
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(None, 'I', (128, 128))
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>>> _info(Image.new("F", (128, 128))) # 32-bit floating point
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(None, 'F', (128, 128))
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Or open existing files:
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>>> im = Image.open("Tests/images/hopper.gif")
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>>> _info(im)
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('GIF', 'P', (128, 128))
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>>> _info(Image.open("Tests/images/hopper.ppm"))
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('PPM', 'RGB', (128, 128))
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>>> try:
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... _info(Image.open("Tests/images/hopper.jpg"))
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... except IOError as v:
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... print(v)
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('JPEG', 'RGB', (128, 128))
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PIL doesn't actually load the image data until it's needed,
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or you call the "load" method:
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>>> im = Image.open("Tests/images/hopper.ppm")
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>>> print(im.im) # internal image attribute
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None
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>>> a = im.load()
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>>> type(im.im) # doctest: +ELLIPSIS
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<... '...ImagingCore'>
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You can apply many different operations on images. Most
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operations return a new image:
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>>> im = Image.open("Tests/images/hopper.ppm")
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>>> _info(im.convert("L"))
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(None, 'L', (128, 128))
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>>> _info(im.copy())
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(None, 'RGB', (128, 128))
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>>> _info(im.crop((32, 32, 96, 96)))
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(None, 'RGB', (64, 64))
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>>> _info(im.filter(ImageFilter.BLUR))
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(None, 'RGB', (128, 128))
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>>> im.getbands()
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('R', 'G', 'B')
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>>> im.getbbox()
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(0, 0, 128, 128)
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>>> len(im.getdata())
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16384
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>>> im.getextrema()
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((0, 255), (0, 255), (0, 255))
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>>> im.getpixel((0, 0))
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(20, 20, 70)
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>>> len(im.getprojection())
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2
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>>> len(im.histogram())
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768
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>>> '%.7f' % im.entropy()
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'8.8212866'
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>>> _info(im.point(list(range(256))*3))
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(None, 'RGB', (128, 128))
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>>> _info(im.resize((64, 64)))
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(None, 'RGB', (64, 64))
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>>> _info(im.rotate(45))
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(None, 'RGB', (128, 128))
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>>> [_info(ch) for ch in im.split()]
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[(None, 'L', (128, 128)), (None, 'L', (128, 128)), (None, 'L', (128, 128))]
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>>> len(im.convert("1").tobitmap())
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10456
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>>> len(im.tobytes())
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49152
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>>> _info(im.transform((512, 512), Image.AFFINE, (1,0,0,0,1,0)))
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(None, 'RGB', (512, 512))
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>>> _info(im.transform((512, 512), Image.EXTENT, (32,32,96,96)))
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(None, 'RGB', (512, 512))
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The ImageDraw module lets you draw stuff in raster images:
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>>> im = Image.new("L", (128, 128), 64)
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>>> d = ImageDraw.ImageDraw(im)
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>>> d.line((0, 0, 128, 128), fill=128)
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>>> d.line((0, 128, 128, 0), fill=128)
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>>> im.getextrema()
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(64, 128)
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In 1.1.4, you can specify colors in a number of ways:
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>>> xy = 0, 0, 128, 128
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>>> im = Image.new("RGB", (128, 128), 0)
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>>> d = ImageDraw.ImageDraw(im)
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>>> d.rectangle(xy, "#f00")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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>>> d.rectangle(xy, "#ff0000")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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>>> d.rectangle(xy, "rgb(255,0,0)")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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>>> d.rectangle(xy, "rgb(100%,0%,0%)")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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>>> d.rectangle(xy, "hsl(0, 100%, 50%)")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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>>> d.rectangle(xy, "red")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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In 1.1.6, you can use the ImageMath module to do image
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calculations.
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>>> im = ImageMath.eval("float(im + 20)", im=im.convert("L"))
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>>> im.mode, im.size
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('F', (128, 128))
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PIL can do many other things, but I'll leave that for another
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day. If you're curious, check the handbook, available from:
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http://www.pythonware.com
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Cheers /F
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"""
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if __name__ == "__main__":
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# check build sanity
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exit_status = 0
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print("-" * 68)
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print("Pillow", Image.__version__, "TEST SUMMARY ")
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print("-" * 68)
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print("Python modules loaded from", os.path.dirname(Image.__file__))
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print("Binary modules loaded from", os.path.dirname(Image.core.__file__))
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print("-" * 68)
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for name, feature in [
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("pil", "PIL CORE"),
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("tkinter", "TKINTER"),
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("freetype2", "FREETYPE2"),
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("littlecms2", "LITTLECMS2"),
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("webp", "WEBP"),
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("transp_webp", "WEBP Transparency"),
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("webp_mux", "WEBPMUX"),
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("webp_anim", "WEBP Animation"),
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("jpg", "JPEG"),
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("jpg_2000", "OPENJPEG (JPEG2000)"),
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("zlib", "ZLIB (PNG/ZIP)"),
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("libtiff", "LIBTIFF"),
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("raqm", "RAQM (Bidirectional Text)"),
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]:
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if features.check(name):
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print("---", feature, "support ok")
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else:
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print("***", feature, "support not installed")
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print("-" * 68)
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# use doctest to make sure the test program behaves as documented!
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import doctest
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print("Running selftest:")
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status = doctest.testmod(sys.modules[__name__])
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if status[0]:
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print("*** %s tests of %d failed." % status)
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exit_status = 1
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else:
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print("--- %s tests passed." % status[1])
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sys.exit(exit_status)
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