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More specific version of pr #2083
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@ -15,8 +15,13 @@ except ImportError:
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TEST_IMAGE_SIZE = (10, 10)
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TEST_IMAGE_SIZE = (10, 10)
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@unittest.skipIf(hasattr(sys, 'pypy_version_info'),
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# Numpy on pypy as of pypy 5.3.1 is corrupting the numpy.array(Image)
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"numpy is flaky on PyPy")
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# call such that it's returning a object of type numpy.ndarray, but
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# the repr is that of a PIL.Image. Size and shape are 1 and (), not the
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# size and shape of the array. This causes failures in several tests.
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SKIP_NUMPY_ON_PYPY = hasattr(sys, 'pypy_version_info') and (
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sys.pypy_version_info <= (5,3,1,'final',0))
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class TestNumpy(PillowTestCase):
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class TestNumpy(PillowTestCase):
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def setUp(self):
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def setUp(self):
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@ -115,6 +120,7 @@ class TestNumpy(PillowTestCase):
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for y in range(0, img.size[1], int(img.size[1]/10)):
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for y in range(0, img.size[1], int(img.size[1]/10)):
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self.assert_deep_equal(px[x, y], np[y, x])
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self.assert_deep_equal(px[x, y], np[y, x])
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@unittest.skipIf(SKIP_NUMPY_ON_PYPY, "numpy.array(Image) is flaky on PyPy")
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def test_16bit(self):
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def test_16bit(self):
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img = Image.open('Tests/images/16bit.cropped.tif')
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img = Image.open('Tests/images/16bit.cropped.tif')
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np_img = numpy.array(img)
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np_img = numpy.array(img)
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@ -136,6 +142,7 @@ class TestNumpy(PillowTestCase):
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im_good = Image.open(filename)
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im_good = Image.open(filename)
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self.assert_image_equal(im_good, im_test)
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self.assert_image_equal(im_good, im_test)
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@unittest.skipIf(SKIP_NUMPY_ON_PYPY, "numpy.array(Image) is flaky on PyPy")
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def test_to_array(self):
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def test_to_array(self):
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def _to_array(mode, dtype):
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def _to_array(mode, dtype):
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