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Ignore PyPy numpy errors

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This commit is contained in:
Arjen Nienhuis 2016-08-17 23:25:52 +02:00
parent f12febf3a9
commit 67eb7a3dc2
1 changed files with 4 additions and 0 deletions
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4
Tests/test_numpy.py
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@ -1,4 +1,5 @@
from __future__ import print_function from __future__ import print_function
import sys
from helper import unittest, PillowTestCase, hopper from helper import unittest, PillowTestCase, hopper
from PIL import Image from PIL import Image
@ -14,6 +15,8 @@ except ImportError:
TEST_IMAGE_SIZE = (10, 10) TEST_IMAGE_SIZE = (10, 10)
@unittest.skipIf(hasattr(sys, 'pypy_version_info'),
"numpy is flaky on PyPy")
class TestNumpy(PillowTestCase): class TestNumpy(PillowTestCase):
def setUp(self): def setUp(self):
@ -104,6 +107,7 @@ class TestNumpy(PillowTestCase):
self.assert_image(Image.fromarray(a[:, :, 1]), "L", TEST_IMAGE_SIZE) self.assert_image(Image.fromarray(a[:, :, 1]), "L", TEST_IMAGE_SIZE)
def _test_img_equals_nparray(self, img, np): def _test_img_equals_nparray(self, img, np):
self.assertGreaterEqual(len(np.shape), 2)
np_size = np.shape[1], np.shape[0] np_size = np.shape[1], np.shape[0]
self.assertEqual(img.size, np_size) self.assertEqual(img.size, np_size)
px = img.load() px = img.load()