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113 lines
2.8 KiB
Python
113 lines
2.8 KiB
Python
from tester import *
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from PIL import Image
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def test_sanity():
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def convert(im, mode):
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out = im.convert(mode)
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assert_equal(out.mode, mode)
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assert_equal(out.size, im.size)
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modes = "1", "L", "I", "F", "RGB", "RGBA", "RGBX", "CMYK", "YCbCr"
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for mode in modes:
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im = lena(mode)
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for mode in modes:
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yield_test(convert, im, mode)
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def test_default():
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im = lena("P")
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assert_image(im, "P", im.size)
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im = im.convert()
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assert_image(im, "RGB", im.size)
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im = im.convert()
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assert_image(im, "RGB", im.size)
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# ref https://github.com/python-imaging/Pillow/issues/274
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def _test_float_conversion(im):
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orig = im.getpixel((5,5))
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converted = im.convert('F').getpixel((5,5))
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assert_equal(orig, converted)
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def test_8bit():
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im = Image.open('Images/lena.jpg')
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_test_float_conversion(im.convert('L'))
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def test_16bit():
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im = Image.open('Tests/images/16bit.cropped.tif')
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_test_float_conversion(im)
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def test_16bit_workaround():
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im = Image.open('Tests/images/16bit.cropped.tif')
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_test_float_conversion(im.convert('I'))
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def test_rgba_p():
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im = lena('RGBA')
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im.putalpha(lena('L'))
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converted = im.convert('P')
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comparable = converted.convert('RGBA')
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assert_image_similar(im, comparable, 20)
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def test_trns_p():
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im = lena('P')
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im.info['transparency']=0
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f = tempfile('temp.png')
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l = im.convert('L')
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assert_equal(l.info['transparency'], 0) # undone
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assert_no_exception(lambda: l.save(f))
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rgb = im.convert('RGB')
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assert_equal(rgb.info['transparency'], (0,0,0)) # undone
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assert_no_exception(lambda: rgb.save(f))
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def test_trns_l():
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im = lena('L')
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im.info['transparency'] = 128
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f = tempfile('temp.png')
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rgb = im.convert('RGB')
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assert_equal(rgb.info['transparency'], (128,128,128)) # undone
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assert_no_exception(lambda: rgb.save(f))
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p = im.convert('P')
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assert_true('transparency' in p.info)
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assert_no_exception(lambda: p.save(f))
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p = assert_warning(UserWarning,
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lambda: im.convert('P', palette = Image.ADAPTIVE))
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assert_false('transparency' in p.info)
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assert_no_exception(lambda: p.save(f))
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def test_trns_RGB():
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im = lena('RGB')
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im.info['transparency'] = im.getpixel((0,0))
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f = tempfile('temp.png')
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l = im.convert('L')
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assert_equal(l.info['transparency'], l.getpixel((0,0))) # undone
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assert_no_exception(lambda: l.save(f))
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p = im.convert('P')
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assert_true('transparency' in p.info)
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assert_no_exception(lambda: p.save(f))
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p = assert_warning(UserWarning,
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lambda: im.convert('P', palette = Image.ADAPTIVE))
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assert_false('transparency' in p.info)
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assert_no_exception(lambda: p.save(f))
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