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TestReducingGapResize
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@ -136,6 +136,93 @@ class TestImagingCoreResize(PillowTestCase):
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self.assertRaises(ValueError, self.resize, hopper(), (10, 10), 9)
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class TestReducingGapResize(PillowTestCase):
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@classmethod
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def setUpClass(cls):
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cls.gradients_image = Image.open("Tests/images/radial_gradients.png")
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cls.gradients_image.load()
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def test_reducing_gap_values(self):
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ref = self.gradients_image.resize((52, 34), Image.BICUBIC, reducing_gap=None)
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im = self.gradients_image.resize((52, 34), Image.BICUBIC)
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self.assert_image_equal(ref, im)
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with self.assertRaises(ValueError):
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self.gradients_image.resize((52, 34), Image.BICUBIC, reducing_gap=0)
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with self.assertRaises(ValueError):
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self.gradients_image.resize((52, 34), Image.BICUBIC, reducing_gap=0.99)
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def test_reducing_gap_1(self):
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for box, epsilon in [
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(None, 4),
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((1.1, 2.2, 510.8, 510.9), 4),
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((3, 10, 410, 256), 10),
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]:
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ref = self.gradients_image.resize((52, 34), Image.BICUBIC, box=box)
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im = self.gradients_image.resize(
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(52, 34), Image.BICUBIC, box=box, reducing_gap=1.0
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)
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with self.assertRaises(AssertionError):
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self.assert_image_equal(ref, im)
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self.assert_image_similar(ref, im, epsilon)
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def test_reducing_gap_2(self):
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for box, epsilon in [
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(None, 1.5),
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((1.1, 2.2, 510.8, 510.9), 1.5),
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((3, 10, 410, 256), 1),
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]:
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ref = self.gradients_image.resize((52, 34), Image.BICUBIC, box=box)
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im = self.gradients_image.resize(
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(52, 34), Image.BICUBIC, box=box, reducing_gap=2.0
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)
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with self.assertRaises(AssertionError):
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self.assert_image_equal(ref, im)
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self.assert_image_similar(ref, im, epsilon)
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def test_reducing_gap_3(self):
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for box, epsilon in [
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(None, 1),
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((1.1, 2.2, 510.8, 510.9), 1),
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((3, 10, 410, 256), .5),
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]:
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ref = self.gradients_image.resize((52, 34), Image.BICUBIC, box=box)
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im = self.gradients_image.resize(
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(52, 34), Image.BICUBIC, box=box, reducing_gap=3.0
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)
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with self.assertRaises(AssertionError):
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self.assert_image_equal(ref, im)
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self.assert_image_similar(ref, im, epsilon)
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def test_reducing_gap_8(self):
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for box in [None, (1.1, 2.2, 510.8, 510.9), (3, 10, 410, 256)]:
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ref = self.gradients_image.resize((52, 34), Image.BICUBIC, box=box)
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im = self.gradients_image.resize(
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(52, 34), Image.BICUBIC, box=box, reducing_gap=8.0
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)
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self.assert_image_equal(ref, im)
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def test_box_filter(self):
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for box, epsilon in [
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((0, 0, 512, 512), 5.5),
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((0.9, 1.7, 128, 128), 9.5),
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]:
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ref = self.gradients_image.resize((52, 34), Image.BOX, box=box)
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im = self.gradients_image.resize(
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(52, 34), Image.BOX, box=box, reducing_gap=1.0
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)
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self.assert_image_similar(ref, im, epsilon)
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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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@ -66,3 +66,30 @@ class TestImageThumbnail(PillowTestCase):
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ref = im.resize((32, 32), Image.BICUBIC)
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# This is still JPEG, some error is present. Without the fix it is 11.5
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self.assert_image_similar(thumb, ref, 1.5)
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def test_reducing_gap_values(self):
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im = hopper()
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im.thumbnail((18, 18), Image.BICUBIC)
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ref = hopper()
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ref.thumbnail((18, 18), Image.BICUBIC, reducing_gap=2.0)
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# reducing_gap=2.0 should be the default
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self.assert_image_equal(ref, im)
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ref = hopper()
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ref.thumbnail((18, 18), Image.BICUBIC, reducing_gap=None)
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with self.assertRaises(AssertionError):
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self.assert_image_equal(ref, im)
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self.assert_image_similar(ref, im, 3.5)
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def test_reducing_gap_for_DCT_scaling(self):
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with Image.open("Tests/images/hopper.jpg") as ref:
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# thumbnail should call draft with reducing_gap scale
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ref.draft(None, (18 * 3, 18 * 3))
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ref = ref.resize((18, 18), Image.BICUBIC)
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with Image.open("Tests/images/hopper.jpg") as im:
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im.thumbnail((18, 18), Image.BICUBIC, reducing_gap=3.0)
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self.assert_image_equal(ref, im)
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