Hi folks,
First post, may not follow the standards, please bear with me.
Need to define a ufunc that takes care of various type.
Fixed - no problem, userdef - no problem, flexible - problem.
It appears that the standard ufunc loop does not provide means to
deliver the size of variable size items.
Hi Chris
> Documentation is specificsly excluded from GSoC (at least it was a
> couple years ago when I last was involved)
Documentation wasn't excluded last year from GSoC, there were quite a
few projects that required a lot of documentation.
But yes, there was no "documentation only" project.
On Thu, Dec 29, 2011 at 1:36 PM, Ralf Gommers
wrote:
> First thought: very useful, but probably not GSOC topics by themselves.
Documentation is specificsly excluded from GSoC (at least it was a
couple years ago when I last was involved)
Not sure about testing, but I'd guess it can't be a project
On Fri, Dec 30, 2011 at 18:57, Andreas Kloeckner
wrote:
> Hi Robert,
>
> On Tue, 27 Dec 2011 10:17:41 +, Robert Kern wrote:
>> On Tue, Dec 27, 2011 at 01:22, Andreas Kloeckner
>> wrote:
>> > Hi all,
>> >
>> > Two questions:
>> >
>> > - Are dtypes supposed to be comparable (i.e. implement '==
Hi Robert,
On Tue, 27 Dec 2011 10:17:41 +, Robert Kern wrote:
> On Tue, Dec 27, 2011 at 01:22, Andreas Kloeckner
> wrote:
> > Hi all,
> >
> > Two questions:
> >
> > - Are dtypes supposed to be comparable (i.e. implement '==', '!=')?
>
> Yes.
>
> > - Are dtypes supposed to be hashable?
>
>
> On Fri, Dec 30, 2011 at 15:13, Alan wrote:
>>> If I seed NumPy's random number generator, I get the
>>> expected sequence.
On 12/30/2011 10:36 AM, Robert Kern wrote:
> What do you mean by "expected"? Where are these expectations coming
> from? Other implementations of the Mersenne Twister?
On Fri, Dec 30, 2011 at 15:13, Alan G Isaac wrote:
> If I seed NumPy's random number generator, I get the
> expected sequence.
What do you mean by "expected"? Where are these expectations coming
from? Other implementations of the Mersenne Twister?
> If I use the same seed for Python's
> random n
If I seed NumPy's random number generator, I get the
expected sequence. If I use the same seed for Python's
random number generator, I get a different sequence.
1. Why does the Python sequence differ from others?
2. Can I somehow put both MT's in a common state?
Thank you,
Alan Isaac
_
