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Merge pull request #3133 from hugovk/upgrade-appveyor-to-pypy-6.0.0

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AppVeyor: upgrade to PyPy 6.0.0
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Hugo 2018-05-24 17:19:41 +03:00 committed by GitHub
commit c46566cc6e
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3 changed files with 6 additions and 22 deletions
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10
Tests/test_imagedraw.py
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@ -1,11 +1,7 @@
from helper import unittest, PillowTestCase, hopper
from PIL import Image
from PIL import ImageColor
from PIL import ImageDraw
import os.path import os.path
import sys from helper import PillowTestCase, hopper, unittest
from PIL import Image, ImageColor, ImageDraw
BLACK = (0, 0, 0) BLACK = (0, 0, 0)
WHITE = (255, 255, 255) WHITE = (255, 255, 255)
@ -360,8 +356,6 @@ class TestImageDraw(PillowTestCase):
ImageDraw.floodfill(im, (W, H), red) ImageDraw.floodfill(im, (W, H), red)
self.assert_image_equal(im, im_floodfill) self.assert_image_equal(im, im_floodfill)
@unittest.skipIf(hasattr(sys, 'pypy_version_info'),
"Causes fatal RPython error on PyPy")
def test_floodfill_border(self): def test_floodfill_border(self):
# floodfill() is experimental # floodfill() is experimental

12
Tests/test_numpy.py
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@ -1,7 +1,6 @@
from __future__ import print_function from __future__ import print_function
import sys
from helper import unittest, PillowTestCase, hopper
from helper import PillowTestCase, hopper, unittest
from PIL import Image from PIL import Image
try: try:
@ -15,13 +14,6 @@ except ImportError:
TEST_IMAGE_SIZE = (10, 10) TEST_IMAGE_SIZE = (10, 10)
# Numpy on pypy as of pypy 5.3.1 is corrupting the numpy.array(Image)
# call such that it's returning a object of type numpy.ndarray, but
# the repr is that of a PIL.Image. Size and shape are 1 and (), not the
# size and shape of the array. This causes failures in several tests.
SKIP_NUMPY_ON_PYPY = hasattr(sys, 'pypy_version_info') and (
sys.pypy_version_info <= (5, 3, 1, 'final', 0))
class TestNumpy(PillowTestCase): class TestNumpy(PillowTestCase):
@ -121,7 +113,6 @@ class TestNumpy(PillowTestCase):
for y in range(0, img.size[1], int(img.size[1]/10)): for y in range(0, img.size[1], int(img.size[1]/10)):
self.assert_deep_equal(px[x, y], np[y, x]) self.assert_deep_equal(px[x, y], np[y, x])
@unittest.skipIf(SKIP_NUMPY_ON_PYPY, "numpy.array(Image) is flaky on PyPy")
def test_16bit(self): def test_16bit(self):
img = Image.open('Tests/images/16bit.cropped.tif') img = Image.open('Tests/images/16bit.cropped.tif')
np_img = numpy.array(img) np_img = numpy.array(img)
@ -152,7 +143,6 @@ class TestNumpy(PillowTestCase):
img_px = img.load() img_px = img.load()
self.assertEqual(img_px[0, 0], pixel_value) self.assertEqual(img_px[0, 0], pixel_value)
@unittest.skipIf(SKIP_NUMPY_ON_PYPY, "numpy.array(Image) is flaky on PyPy")
def test_to_array(self): def test_to_array(self):
def _to_array(mode, dtype): def _to_array(mode, dtype):

6
winbuild/appveyor_install_pypy.cmd
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@ -1,3 +1,3 @@
curl -fsSL -o pypy2.zip https://bitbucket.org/pypy/pypy/downloads/pypy2-v5.10.0-win32.zip curl -fsSL -o pypy2.zip https://bitbucket.org/pypy/pypy/downloads/pypy2-v6.0.0-win32.zip
7z x pypy2.zip -oc:\ 7z x pypy2.zip -oc:\
c:\Python34\Scripts\virtualenv.exe -p c:\pypy2-v5.10.0-win32\pypy.exe c:\vp\pypy2 c:\Python34\Scripts\virtualenv.exe -p c:\pypy2-v6.0.0-win32\pypy.exe c:\vp\pypy2