mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-12-25 17:36:18 +03:00
Merge pull request #437 from wiredfool/2gigapix-image
2gigapix image fixes
This commit is contained in:
commit
c2aca35872
27
Tests/large_memory_test.py
Normal file
27
Tests/large_memory_test.py
Normal file
|
@ -0,0 +1,27 @@
|
|||
from tester import *
|
||||
|
||||
# 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
|
||||
# raspberrypis). It does succeed on a 3gb Ubuntu 12.04x64 VM on python
|
||||
# 2.7 an 3.2
|
||||
|
||||
from PIL import Image
|
||||
ydim = 32769
|
||||
xdim = 48000
|
||||
f = tempfile('temp.png')
|
||||
|
||||
def _write_png(xdim,ydim):
|
||||
im = Image.new('L',(xdim,ydim),(0))
|
||||
im.save(f)
|
||||
success()
|
||||
|
||||
def test_large():
|
||||
""" succeeded prepatch"""
|
||||
_write_png(xdim,ydim)
|
||||
def test_2gpx():
|
||||
"""failed prepatch"""
|
||||
_write_png(xdim,xdim)
|
17
_imaging.c
17
_imaging.c
|
@ -1234,7 +1234,8 @@ static PyObject*
|
|||
_putdata(ImagingObject* self, PyObject* args)
|
||||
{
|
||||
Imaging image;
|
||||
int n, i, x, y;
|
||||
// i & n are # pixels, require py_ssize_t. x can be as large as n. y, just because.
|
||||
Py_ssize_t n, i, x, y;
|
||||
|
||||
PyObject* data;
|
||||
double scale = 1.0;
|
||||
|
@ -1244,16 +1245,16 @@ _putdata(ImagingObject* self, PyObject* args)
|
|||
return NULL;
|
||||
|
||||
if (!PySequence_Check(data)) {
|
||||
PyErr_SetString(PyExc_TypeError, must_be_sequence);
|
||||
return NULL;
|
||||
PyErr_SetString(PyExc_TypeError, must_be_sequence);
|
||||
return NULL;
|
||||
}
|
||||
|
||||
image = self->image;
|
||||
|
||||
n = PyObject_Length(data);
|
||||
if (n > (int) (image->xsize * image->ysize)) {
|
||||
PyErr_SetString(PyExc_TypeError, "too many data entries");
|
||||
return NULL;
|
||||
if (n > (Py_ssize_t) (image->xsize * image->ysize)) {
|
||||
PyErr_SetString(PyExc_TypeError, "too many data entries");
|
||||
return NULL;
|
||||
}
|
||||
|
||||
if (image->image8) {
|
||||
|
@ -1648,7 +1649,7 @@ _stretch(ImagingObject* self, PyObject* args)
|
|||
imIn = self->image;
|
||||
|
||||
/* two-pass resize: minimize size of intermediate image */
|
||||
if (imIn->xsize * ysize < xsize * imIn->ysize)
|
||||
if ((Py_ssize_t) imIn->xsize * ysize < (Py_ssize_t) xsize * imIn->ysize)
|
||||
imTemp = ImagingNew(imIn->mode, imIn->xsize, ysize);
|
||||
else
|
||||
imTemp = ImagingNew(imIn->mode, xsize, imIn->ysize);
|
||||
|
@ -3073,7 +3074,7 @@ image_length(ImagingObject *self)
|
|||
{
|
||||
Imaging im = self->image;
|
||||
|
||||
return im->xsize * im->ysize;
|
||||
return (Py_ssize_t) im->xsize * im->ysize;
|
||||
}
|
||||
|
||||
static PyObject *
|
||||
|
|
Loading…
Reference in New Issue
Block a user