Thanks. I tried the latest version and indeed there is no leak.
Cheers,
Suchindra
On Fri, Feb 6, 2009 at 3:39 PM, Robert Kern wrote:
> On Fri, Feb 6, 2009 at 13:24, Suchindra Sandhu
> wrote:
> > Hi,
> >
> > I accidently stumbled upon this odd behavior by numpy.any
Hi,
I accidently stumbled upon this odd behavior by numpy.any. The following
code leaks memory -
for i in xrange(1000):
print N.any({'whatever': N.arange(1000)})
Ofcourse, I called "any" on a dict object by accident, but it should not
really leak memory.
I am running numpy versi
Thanks Everyone.
On Mon, Jul 21, 2008 at 6:25 PM, Charles R Harris <[EMAIL PROTECTED]>
wrote:
>
>
> On Mon, Jul 21, 2008 at 3:37 PM, Stéfan van der Walt <[EMAIL PROTECTED]>
> wrote:
>
>> 2008/7/21 Suchindra Sandhu <[EMAIL PROTECTED]>:
>> > Is that
, Jul 18, 2008 at 7:10 PM, Stéfan van der Walt <[EMAIL PROTECTED]>
wrote:
> 2008/7/18 Suchindra Sandhu <[EMAIL PROTECTED]>:
> > Can someone please explain to me this oddity?
> >
> > In [1]: import numpy as n
> >
> > In [8]: a = n.array((1,2,
Hi,
Can someone please explain to me this oddity?
In [1]: import numpy as n
In [8]: a = n.array((1,2,3), 'i')
In [9]: type(a[0])
Out[9]:
In [10]: type(a[0]) == n.int32
Out[10]: False
When I create an array with 'int', 'int32' etc it works fine
What is the type of 'i' and what is n.int0?
Th
