Pillow/Tests/check_large_memory.py
Jon Dufresne 33dabf986f Import unittest from stdlib rather than helper.py
The unittest in helper.py has not offered an interesting abstraction
since dbe9f85c7d so import from the more
typical stdlib location.
2019-11-20 18:42:52 -08:00

50 lines
1.2 KiB
Python

import sys
import unittest
from PIL import Image
from .helper import PillowTestCase
# This test is not run automatically.
#
# It requires > 2gb memory for the >2 gigapixel image generated in the
# second test. Running this automatically would amount to a denial of
# service on our testing infrastructure. I expect this test to fail
# on any 32-bit machine, as well as any smallish things (like
# Raspberry Pis). It does succeed on a 3gb Ubuntu 12.04x64 VM on Python
# 2.7 and 3.2.
try:
import numpy
except ImportError:
numpy = None
YDIM = 32769
XDIM = 48000
@unittest.skipIf(sys.maxsize <= 2 ** 32, "requires 64-bit system")
class LargeMemoryTest(PillowTestCase):
def _write_png(self, xdim, ydim):
f = self.tempfile("temp.png")
im = Image.new("L", (xdim, ydim), 0)
im.save(f)
def test_large(self):
""" succeeded prepatch"""
self._write_png(XDIM, YDIM)
def test_2gpx(self):
"""failed prepatch"""
self._write_png(XDIM, XDIM)
@unittest.skipIf(numpy is None, "Numpy is not installed")
def test_size_greater_than_int(self):
arr = numpy.ndarray(shape=(16394, 16394))
Image.fromarray(arr)
if __name__ == "__main__":
unittest.main()