Pillow/Tests/check_large_memory_numpy.py
Jon Dufresne d50445ff30 Introduce isort to automate import ordering and formatting
Similar to the recent adoption of Black. isort is a Python utility to
sort imports alphabetically and automatically separate into sections. By
using isort, contributors can quickly and automatically conform to the
projects style without thinking. Just let the tool do it.

Uses the configuration recommended by the Black to avoid conflicts of
style.

Rewrite TestImageQt.test_deprecated to no rely on import order.
2019-07-06 16:11:35 -07:00

45 lines
1.1 KiB
Python

import sys
from PIL import Image
from .helper import PillowTestCase, unittest
# 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).
try:
import numpy as np
except ImportError:
raise unittest.SkipTest("numpy not installed")
YDIM = 32769
XDIM = 48000
@unittest.skipIf(sys.maxsize <= 2 ** 32, "requires 64-bit system")
class LargeMemoryNumpyTest(PillowTestCase):
def _write_png(self, xdim, ydim):
dtype = np.uint8
a = np.zeros((xdim, ydim), dtype=dtype)
f = self.tempfile("temp.png")
im = Image.fromarray(a, "L")
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)
if __name__ == "__main__":
unittest.main()