Greetings,
We're excited to have *Ivan Krstić*, the director of security
architecture for the One Laptop Per Child project as our Keynote
Speaker this year.
The planning for the SciPy 2007 Conference is moving along. Please
see below for some important updates.
Schedule Available
On 7/15/07, Sebastian Haase <[EMAIL PROTECTED]> wrote:
Hi,
I compared for a 256x256 float32 normal-noise (x0=100,sigma=1) array
the times to do
1./ (a*a)
vs.
a**-2
>>> U.timeIt('1./(a*a)', 1000)
(0.00090877471871, 0.00939644563778, 0.00120674694689, 0.00068554628)
>>> U.timeIt('a**-2', 100
Sebastian Haase wrote:
> Which file(s) should I be looking for?
numpy/core/src/multiarraymodule.c . You will need to modify the functions
array_where() and PyArray_Where(). Be sure to update ma.py to match, and update
numarray/functions.py to make use of the out= argument (numarray had it and we
On 7/15/07, Robert Kern <[EMAIL PROTECTED]> wrote:
> Sebastian Haase wrote:
> > On 7/14/07, Robert Kern <[EMAIL PROTECTED]> wrote:
> >> Sebastian Haase wrote:
>
> >>> 2) Could we have another optional argument "dtype" in numpy.where()?
> >>> Otherwise I would have to always write code like this:
>
On 7/15/07, Robert Kern <[EMAIL PROTECTED]> wrote:
> Sebastian Haase wrote:
> > On 7/14/07, Robert Kern <[EMAIL PROTECTED]> wrote:
> >> Sebastian Haase wrote:
>
> >>> 2) Could we have another optional argument "dtype" in numpy.where()?
> >>> Otherwise I would have to always write code like this:
>
Sebastian Haase wrote:
> On 7/14/07, Robert Kern <[EMAIL PROTECTED]> wrote:
>> Sebastian Haase wrote:
>>> 2) Could we have another optional argument "dtype" in numpy.where()?
>>> Otherwise I would have to always write code like this:
>>> a = N.where( arr>x, 1.0, 0.0)
>>> a = a.astype(N.float32)
>>
Hi,
I compared for a 256x256 float32 normal-noise (x0=100,sigma=1) array
the times to do
1./ (a*a)
vs.
a**-2
>>> U.timeIt('1./(a*a)', 1000)
(0.00090877471871, 0.00939644563778, 0.00120674694689, 0.00068554628)
>>> U.timeIt('a**-2', 1000)
(0.00876591857354, 0.0263829620803, 0.00952076311375, 0
On 7/14/07, Robert Kern <[EMAIL PROTECTED]> wrote:
> Sebastian Haase wrote:
> > Hi.
> > Two things.
> > 1) The doc-string of numpy.where() states that transpose(where(cond,
> > x,y)) whould always return a 2d-array. How can this be true?? It also
> > says (before) that if x,y are given where(cond,x
