Thanks for the reply, Pauli. I suspected this might be the case, but was
hoping
maybe this was something that had been seen before. I've included your
suggestions on the bug report for Sage.
Rob
On 04/25/2011 10:57 AM, Pauli Virtanen wrote:
> The Numpy routine is a very thin wrapper of LAPAC
On 25. apr. 2011, at 19.57, Pauli Virtanen wrote:
> On Mon, 25 Apr 2011 10:16:13 -0700, Rob Beezer wrote:
> [clip]
>> Many more details and complete transcripts are at:
>> http://trac.sagemath.org/sage_trac/ticket/11248
>>
>> Any thoughts or advice to help us understand this would be greatly
>> a
On Mon, Apr 25, 2011 at 01:23:12PM -0500, Robert Kern wrote:
> > Yes, that's exactly why we want the different objects to able to recieve
> > their own PRNG.
> But seriously, they are running A+B, the combination of A and B. If
> A+B changes to A+B', then the results may be different. That's to be
On Mon, Apr 25, 2011 at 13:15, Gael Varoquaux
wrote:
> On Mon, Apr 25, 2011 at 11:05:05AM -0700, T J wrote:
>> If code A relies on code B (eg, some numpy function) and code B
>> changes, then the stream of random numbers will no longer be the same.
>> The point here is that the user wrote code A
On Mon, Apr 25, 2011 at 11:05:05AM -0700, T J wrote:
> If code A relies on code B (eg, some numpy function) and code B
> changes, then the stream of random numbers will no longer be the same.
> The point here is that the user wrote code A but depended on code B,
> and even though code A was unchan
On Mon, Apr 25, 2011 at 9:57 AM, Gael Varoquaux
wrote:
>
> We thought that we could simply have a PRNG per object, as in:
>
> def __init__(self, prng=None):
> if prng is None:
> prng = np.random.RandomState()
> self.prng = prng
>
> I don't like this option, because it m
On Mon, 25 Apr 2011 10:16:13 -0700, Rob Beezer wrote:
[clip]
> Many more details and complete transcripts are at:
> http://trac.sagemath.org/sage_trac/ticket/11248
>
> Any thoughts or advice to help us understand this would be greatly
> appreciated.
The Numpy routine is a very thin wrapper of LAP
On Mon, Apr 25, 2011 at 11:57, Gael Varoquaux
wrote:
> Hi there,
>
> We are courrently having a discussion on the scikits learn mailing list
> about which patterns to adopt for random number generation. One thing
> that is absolutely clear is that making the stream of random numbers
> reproducible
Dear Fabrice,
Let's take this discussion off-line, contact us directly through
http://github.com/alexlib or to e-mail. It's a coincidence but I just finished
wrapping the same library using SWIG :). Such a pity I didn't know about your
work. I also believe that we talk about the same thing as
I am working to make many of NumPy's matrix decomposition routines available in
Sage. As part of testing a new routine, we have found some odd behavior with
the singular value decomposition.
On certain Mac's, the numpy built in Sage will return the second of the unitary
matrices with a row of
Hi there,
We are courrently having a discussion on the scikits learn mailing list
about which patterns to adopt for random number generation. One thing
that is absolutely clear is that making the stream of random numbers
reproducible is critical. We have several objects that can serve as random
va
There are various numpy and scipy input/output functions described here:
http://www.scipy.org/Cookbook/InputOutput
http://docs.scipy.org/doc/scipy/reference/io.html
On Mon, Apr 25, 2011 at 10:32 AM, Zhaoru Zhang wrote:
> Hi guys,
>
> I have a time loop and at each time step I get a 1-d array and
Hi guys,
I have a time loop and at each time step I get a 1-d array and want to save it
in the data file 'data.dat '(or whatever suffix), so finally i got . I made
this by using the python 'write' function, but I' thinking about if there is
any numpy function that can realize this? Thanks.
Zha
On Mon, Apr 25, 2011 at 12:17 AM, wrote:
> On Mon, Apr 25, 2011 at 2:50 AM, dileep kunjaai
> wrote:
>> Dear sir,
>>
>> I am have 2 mxn numpy array say "obs" & "fcst". I have to
>> calculate sum of squre of (obs[i, j]-fcst[i, j]) using from cdms2
>> import MV2 as MV in CDAT witho
Le dimanche 24 avril 2011 à 16:53 +0200, Davide a écrit :
> Hi all,
> I am pleased to announce the re-birth of OpenPiv, a python package for
> the analysis of PIV images. PIV is a well established optical
> measurement technique for fluid flows. The package has the goal of
> provide an implement
Hi,
Has anyone confirmed if this is a bug? Should I post this in the bug tracker?
Thanks!
On Tue, Apr 19, 2011 at 9:01 PM, Thiago Franco de Moraes
wrote:
> Hi all,
>
> I'm having a error using memmap objects shared among processes created
> by the multprocessing module. This error only happen i
SORRRY FRIENDS THAT I WRONGLY SENT
On Mon, Apr 25, 2011 at 3:20 PM, dileep kunjaai wrote:
> Dear sir,
> How to change cdms2.tvariable.TransientVariable to float. Actually
> this "cdms2.tvariable.TransientVariable" obtained from using from cdms2
> import MV2
>
> T
Dear sir,
How to change cdms2.tvariable.TransientVariable to float. Actually this
"cdms2.tvariable.TransientVariable" obtained from using from cdms2 import
MV2
Thanking you
--
DILEEPKUMAR. R
J R F, IIT DELHI
___
NumPy-Discussion mailing list
Nu
Thank you sir ...thanks a lot
Keep in touch
On Mon, Apr 25, 2011 at 12:47 PM, wrote:
> On Mon, Apr 25, 2011 at 2:50 AM, dileep kunjaai
> wrote:
> > Dear sir,
> >
> > I am have 2 mxn numpy array say "obs" & "fcst". I have to
> >
On Mon, Apr 25, 2011 at 2:50 AM, dileep kunjaai wrote:
> Dear sir,
>
> I am have 2 mxn numpy array say "obs" & "fcst". I have to
> calculate sum of squre of (obs[i, j]-fcst[i, j]) using from cdms2
> import MV2 as MV in CDAT without using "for" loop.
>
> For example:
> obs=
> [0.6
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