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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.
55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
from PIL import Image, ImageEnhance
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from .helper import PillowTestCase, hopper
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class TestImageEnhance(PillowTestCase):
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def test_sanity(self):
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# FIXME: assert_image
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# Implicit asserts no exception:
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ImageEnhance.Color(hopper()).enhance(0.5)
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ImageEnhance.Contrast(hopper()).enhance(0.5)
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ImageEnhance.Brightness(hopper()).enhance(0.5)
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ImageEnhance.Sharpness(hopper()).enhance(0.5)
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def test_crash(self):
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# crashes on small images
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im = Image.new("RGB", (1, 1))
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ImageEnhance.Sharpness(im).enhance(0.5)
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def _half_transparent_image(self):
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# returns an image, half transparent, half solid
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im = hopper("RGB")
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transparent = Image.new("L", im.size, 0)
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solid = Image.new("L", (im.size[0] // 2, im.size[1]), 255)
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transparent.paste(solid, (0, 0))
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im.putalpha(transparent)
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return im
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def _check_alpha(self, im, original, op, amount):
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self.assertEqual(im.getbands(), original.getbands())
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self.assert_image_equal(
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im.getchannel("A"),
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original.getchannel("A"),
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"Diff on %s: %s" % (op, amount),
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)
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def test_alpha(self):
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# Issue https://github.com/python-pillow/Pillow/issues/899
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# Is alpha preserved through image enhancement?
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original = self._half_transparent_image()
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for op in ["Color", "Brightness", "Contrast", "Sharpness"]:
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for amount in [0, 0.5, 1.0]:
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self._check_alpha(
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getattr(ImageEnhance, op)(original).enhance(amount),
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original,
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op,
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amount,
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)
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