On Mon, Sep 23, 2013 at 6:22 PM, David Cournapeau wrote:
> Ok, so I've looked a bit into it tonight:
>
> - used mingw-w64 4.8.1 (32 bits host)
> - openblas binaries available on the official website (seem to be built
> with mingw w64)
> - used -static-libgcc, -static-libstdc++ and -static-libgf
On Mon, Sep 23, 2013 at 8:22 PM, David Cournapeau wrote:
> Ok, so I've looked a bit into it tonight:
>
> - used mingw-w64 4.8.1 (32 bits host)
> - openblas binaries available on the official website (seem to be built
> with mingw w64)
> - used -static-libgcc, -static-libstdc++ and -static-libgf
Ok, so I've looked a bit into it tonight:
- used mingw-w64 4.8.1 (32 bits host)
- openblas binaries available on the official website (seem to be built
with mingw w64)
- used -static-libgcc, -static-libstdc++ and -static-libgfortran
- building numpy went ok, test suite almost passes, nothing t
On Mon, Sep 23, 2013 at 3:18 PM, Charles R Harris wrote:
>
>
>
> On Mon, Sep 23, 2013 at 2:42 PM, Peter Cock wrote:
>
>> On Mon, Sep 23, 2013 at 6:03 PM, Charles R Harris
>> wrote:
>> > Hi All,
>> >
>> > I have gotten no feedback on the removal of the numarray and oldnumeric
>> > packages. Conse
On Mon, Sep 23, 2013 at 3:18 PM, Charles R Harris wrote:
>
>
>
> On Mon, Sep 23, 2013 at 2:42 PM, Peter Cock wrote:
>
>> On Mon, Sep 23, 2013 at 6:03 PM, Charles R Harris
>> wrote:
>> > Hi All,
>> >
>> > I have gotten no feedback on the removal of the numarray and oldnumeric
>> > packages. Conse
On Mon, Sep 23, 2013 at 2:42 PM, Peter Cock wrote:
> On Mon, Sep 23, 2013 at 6:03 PM, Charles R Harris
> wrote:
> > Hi All,
> >
> > I have gotten no feedback on the removal of the numarray and oldnumeric
> > packages. Consequently the removal will take place on 9/28. Scream now or
> > never...
>
On Mon, Sep 23, 2013 at 6:03 PM, Charles R Harris
wrote:
> Hi All,
>
> I have gotten no feedback on the removal of the numarray and oldnumeric
> packages. Consequently the removal will take place on 9/28. Scream now or
> never...
>
> Chuck
Hi Chuck,
Could you clarify how we'd know if this is a p
On Sun, Sep 22, 2013 at 9:47 AM, Mark Szepieniec wrote:
>
> On Sun, Sep 22, 2013 at 1:24 PM, wrote:
>
>>
>> I don't see a reason that numpy.random shouldn't get new
>> distributions. It would also be useful to add the corresponding
>> distribution to scipy.stats.
>>
>
I have the pdf, cdf, and i
We at STScI have no objection. If we have any residual dependencies, we'll then
find out and fix them.
Perry
On Sep 23, 2013, at 1:03 PM, Charles R Harris wrote:
> Hi All,
>
> I have gotten no feedback on the removal of the numarray and oldnumeric
> packages. Consequently the removal will tak
speed or memory use? The operation you show should
> already be quite fast. A more memory efficient approach would be to
> generate integers and use their binary representation.
>
> St?fan
> -- next part --
> An HTML attachment was scrubbed...
> URL:
> h
Hi All,
I have gotten no feedback on the removal of the numarray and oldnumeric
packages. Consequently the removal will take place on 9/28. Scream now or
never...
Chuck
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On 23.09.2013, at 7:03PM, Charles R Harris wrote:
> I have gotten no feedback on the removal of the numarray and oldnumeric
> packages. Consequently the removal will take place on 9/28. Scream now or
> never...
The only thing I'd care about is the nd_image subpackage, but as far as I can
see,
On Mon, Sep 23, 2013 at 11:21 AM, Derek Homeier <
de...@astro.physik.uni-goettingen.de> wrote:
> On 23.09.2013, at 7:03PM, Charles R Harris
> wrote:
>
> > I have gotten no feedback on the removal of the numarray and oldnumeric
> packages. Consequently the removal will take place on 9/28. Scream n
On 09/23/2013 02:27 PM, Neal Becker wrote:
> Does numpy/scipy support building with openblas for blas,lapack instead of
> atlas?
I have that working myself. I think it was simply a matter of using the
configuration below; NumPy will think it is ATLAS, but that doesn't matter.
Once NumPy is built
Does numpy/scipy support building with openblas for blas,lapack instead of
atlas?
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On Monday, September 23, 2013, Lorenzo Di Gregorio wrote:
> Hello,
>
> numpy.divide(0.0,0.0) raises a warning which doesn't appear to get caught
> by numpy.seterr(divide='ignore')
>
> This example:
>
> import numpy
> numpy.divide(0.0,0.0)
> numpy.divide(1.0,0.0)
> numpy.seterr(divide='ignore')
> n
Hello,
numpy.divide(0.0,0.0) raises a warning which doesn't appear to get caught
by numpy.seterr(divide='ignore')
This example:
import numpy
numpy.divide(0.0,0.0)
numpy.divide(1.0,0.0)
numpy.seterr(divide='ignore')
numpy.divide(1.0,0.0)
numpy.divide(0.0,0.0)
produces this output:
Warning (from
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