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7da17ad41e
The previous test configuration made it difficult to run a single test with the pytest CLI. There were two major issues: - The Tests directory was not a package. It now includes a __init__.py file and imports from other tests modules are done with relative imports. - setup.cfg always specified the Tests directory. So even if a specific test were specified as a CLI arg, this configuration would also always include all tests. This configuration has been removed to allow specifying a single test on the command line. Contributors can now run specific tests with a single command such as: $ tox -e py37 -- Tests/test_file_pdf.py::TestFilePdf.test_rgb This makes it easy and faster to iterate on a single test failure and is very familiar to those that have previously used tox and pytest. When running tox or pytest with no arguments, they still discover and runs all tests in the Tests directory.
122 lines
4.6 KiB
Python
122 lines
4.6 KiB
Python
"""
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Tests for resize functionality.
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"""
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from itertools import permutations
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from .helper import unittest, PillowTestCase, hopper
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from PIL import Image
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class TestImagingCoreResize(PillowTestCase):
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def resize(self, im, size, f):
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# Image class independent version of resize.
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im.load()
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return im._new(im.im.resize(size, f))
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def test_nearest_mode(self):
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for mode in ["1", "P", "L", "I", "F", "RGB", "RGBA", "CMYK", "YCbCr",
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"I;16"]: # exotic mode
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im = hopper(mode)
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r = self.resize(im, (15, 12), Image.NEAREST)
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self.assertEqual(r.mode, mode)
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self.assertEqual(r.size, (15, 12))
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self.assertEqual(r.im.bands, im.im.bands)
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def test_convolution_modes(self):
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self.assertRaises(ValueError, self.resize, hopper("1"),
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(15, 12), Image.BILINEAR)
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self.assertRaises(ValueError, self.resize, hopper("P"),
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(15, 12), Image.BILINEAR)
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self.assertRaises(ValueError, self.resize, hopper("I;16"),
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(15, 12), Image.BILINEAR)
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for mode in ["L", "I", "F", "RGB", "RGBA", "CMYK", "YCbCr"]:
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im = hopper(mode)
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r = self.resize(im, (15, 12), Image.BILINEAR)
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self.assertEqual(r.mode, mode)
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self.assertEqual(r.size, (15, 12))
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self.assertEqual(r.im.bands, im.im.bands)
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def test_reduce_filters(self):
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for f in [Image.NEAREST, Image.BOX, Image.BILINEAR,
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Image.HAMMING, Image.BICUBIC, Image.LANCZOS]:
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r = self.resize(hopper("RGB"), (15, 12), f)
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self.assertEqual(r.mode, "RGB")
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self.assertEqual(r.size, (15, 12))
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def test_enlarge_filters(self):
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for f in [Image.NEAREST, Image.BOX, Image.BILINEAR,
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Image.HAMMING, Image.BICUBIC, Image.LANCZOS]:
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r = self.resize(hopper("RGB"), (212, 195), f)
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self.assertEqual(r.mode, "RGB")
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self.assertEqual(r.size, (212, 195))
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def test_endianness(self):
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# Make an image with one colored pixel, in one channel.
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# When resized, that channel should be the same as a GS image.
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# Other channels should be unaffected.
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# The R and A channels should not swap, which is indicative of
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# an endianness issues.
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samples = {
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'blank': Image.new('L', (2, 2), 0),
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'filled': Image.new('L', (2, 2), 255),
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'dirty': Image.new('L', (2, 2), 0),
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}
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samples['dirty'].putpixel((1, 1), 128)
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for f in [Image.NEAREST, Image.BOX, Image.BILINEAR,
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Image.HAMMING, Image.BICUBIC, Image.LANCZOS]:
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# samples resized with current filter
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references = {
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name: self.resize(ch, (4, 4), f)
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for name, ch in samples.items()
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}
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for mode, channels_set in [
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('RGB', ('blank', 'filled', 'dirty')),
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('RGBA', ('blank', 'blank', 'filled', 'dirty')),
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('LA', ('filled', 'dirty')),
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]:
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for channels in set(permutations(channels_set)):
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# compile image from different channels permutations
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im = Image.merge(mode, [samples[ch] for ch in channels])
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resized = self.resize(im, (4, 4), f)
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for i, ch in enumerate(resized.split()):
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# check what resized channel in image is the same
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# as separately resized channel
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self.assert_image_equal(ch, references[channels[i]])
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def test_enlarge_zero(self):
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for f in [Image.NEAREST, Image.BOX, Image.BILINEAR,
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Image.HAMMING, Image.BICUBIC, Image.LANCZOS]:
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r = self.resize(Image.new('RGB', (0, 0), "white"), (212, 195), f)
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self.assertEqual(r.mode, "RGB")
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self.assertEqual(r.size, (212, 195))
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self.assertEqual(r.getdata()[0], (0, 0, 0))
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def test_unknown_filter(self):
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self.assertRaises(ValueError, self.resize, hopper(), (10, 10), 9)
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class TestImageResize(PillowTestCase):
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def test_resize(self):
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def resize(mode, size):
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out = hopper(mode).resize(size)
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self.assertEqual(out.mode, mode)
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self.assertEqual(out.size, size)
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for mode in "1", "P", "L", "RGB", "I", "F":
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resize(mode, (112, 103))
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resize(mode, (188, 214))
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# Test unknown resampling filter
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im = hopper()
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self.assertRaises(ValueError, im.resize, (10, 10), "unknown")
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if __name__ == '__main__':
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unittest.main()
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