Here it is...
http://projects.scipy.org/numpy/ticket/1229
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
Hi, Luca,
On Mon, Sep 21, 2009 at 4:52 PM, Citi, Luca wrote:
> I think the original bug is due to
> line 535 of numpy/core/src/multiarray/ctors.c (svn)
> that should be:
>intp numcopies, nbytes;
> instead of:
>int numcopies, nbytes;
>
> To resume:
> in line 535 of numpy/core/src/multiarr
I think the original bug is due to
line 535 of numpy/core/src/multiarray/ctors.c (svn)
that should be:
intp numcopies, nbytes;
instead of:
int numcopies, nbytes;
To resume:
in line 535 of numpy/core/src/multiarray/ctors.c
and
in line 209 of numpy/core/src/multiarray/item_selection.c
int sh
Also, what about PyArray_PutMask()
That function also has a line like "int i, chunk, ni, max_item, nv,
tmp;"
Should that be changed as well?
(Your patch does not fix my original issue.)
BTW, in numpy 1.3, that is present in numpy/core/src/multiarraymodule.c.
Can someone please give me a te
I can confirm this bug for the last svn.
Also:
>>> a.put([2*1024*1024*1024 + 100,], 8)
IndexError: index out of range for array
in this case, I think the error is that in
numpy/core/src/multiarray/item_selection.c
in PyArray_PutTo line 209 should be:
intp i, chunk, ni, max_item, nv, tmp;
inst
Yes, it happens for the trunk as well.
> > import numpy as np
> >
> > a=np.zeros((2*1024*1024*1024 + 1), dtype="uint8")
> >
> > a[:]=1
> > # returns immediately
> >
> > a.mean()
> >
> > 0.0
> > print a
> >
> > [0 0 0 ..., 0 0 0]
> > The bug only happens when the nElements > 2G (2^31). So for
On Mon, Sep 21, 2009 at 12:30 PM, Francesc Alted wrote:
> A Monday 21 September 2009 19:45:27 Kashyap Ashwin escrigué:
> > Hello,
> >
> > I have downloaded numpy 1.3rc2 sources and compiled it on Ubuntu Hardy
> > Linux x86_64. numpy.test() seems to run ok as well.
> >
> >
> >
> > Here is the bug I
A Monday 21 September 2009 19:45:27 Kashyap Ashwin escrigué:
> Hello,
>
> I have downloaded numpy 1.3rc2 sources and compiled it on Ubuntu Hardy
> Linux x86_64. numpy.test() seems to run ok as well.
>
>
>
> Here is the bug I can reproduce
>
>
>
> import numpy as np
>
> a=np.zeros((2*1024*1024*1024
Hello,
I have downloaded numpy 1.3rc2 sources and compiled it on Ubuntu Hardy
Linux x86_64. numpy.test() seems to run ok as well.
Here is the bug I can reproduce
import numpy as np
a=np.zeros((2*1024*1024*1024 + 1), dtype="uint8")
a[:]=1
# returns immediately
a.mean()
0.0
p
