mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-12-25 09:26:16 +03:00
44 lines
1016 B
Python
44 lines
1016 B
Python
import pytest
|
|
|
|
from PIL import Image
|
|
|
|
# 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
|
|
|
|
|
|
def _write_png(tmp_path, xdim, ydim):
|
|
f = str(tmp_path / "temp.png")
|
|
im = Image.new("L", (xdim, ydim), 0)
|
|
im.save(f)
|
|
|
|
|
|
def test_large(tmp_path):
|
|
"""succeeded prepatch"""
|
|
_write_png(tmp_path, XDIM, YDIM)
|
|
|
|
|
|
def test_2gpx(tmp_path):
|
|
"""failed prepatch"""
|
|
_write_png(tmp_path, XDIM, XDIM)
|
|
|
|
|
|
@pytest.mark.skipif(numpy is None, reason="Numpy is not installed")
|
|
def test_size_greater_than_int():
|
|
arr = numpy.ndarray(shape=(16394, 16394))
|
|
Image.fromarray(arr)
|