On 25/01/07, David Cournapeau [EMAIL PROTECTED] wrote:
rex wrote:
I think it should do much better. A few minutes ago I compiled a C
math benchmark with :
icc -o3 -parallel -xT
and it ran 2.8x as fast as it did when compiled with gcc -o3. In
fact, it ran at a little over a
On 1/24/07, Charles R Harris [EMAIL PROTECTED] wrote:
On 1/24/07, Robert Cimrman [EMAIL PROTECTED] wrote:
Robert Kern wrote:
Robert Cimrman wrote:
Or you could just call unique1d prior to your call to setmember1d -
it
was meant to be used that way... you would not loose much speed
Charles R Harris wrote:
On 1/24/07, Charles R Harris [EMAIL PROTECTED] wrote:
On 1/24/07, Robert Cimrman [EMAIL PROTECTED] wrote:
Robert Kern wrote:
Robert Cimrman wrote:
Or you could just call unique1d prior to your call to setmember1d -
it
was meant to be used that way... you
Hello,
I am trying to write some unit tests to my new Automatic matrix code
and I think I bumped into a bug in scipy.linalg.lu_factor. If you give a
matrix to it, it doesn't honor the overwrite_a option:
In [1]:import numpy as num
In [2]:M = num.mat(num.random.rand(2,2))
In [3]:print M
[[
On Thu, 25 Jan 2007 16:06:23 -0200
Paulo J. S. Silva [EMAIL PROTECTED] wrote:
Hello,
I am trying to write some unit tests to my new
Automatic matrix code
and I think I bumped into a bug in
scipy.linalg.lu_factor. If you give a
matrix to it, it doesn't honor the overwrite_a option:
In
Em Qui, 2007-01-25 às 19:46 +0100, Nils Wagner escreveu:
It works if you use
M=num.random.rand(2,2)
Nils
Yes, it works for arrays but not for matrices. I thought that
scipy.linalg functions were supposed to work with matrices.
Paulo
___
For instance
In [7]: def countmembers(a1, a2) :
...: a = sort(a2)
...: il = a.searchsorted(a1, side='l')
...: ir = a.searchsorted(a1, side='r')
...: return ir - il
...:
In [8]: a2 = random.randint(0,10,(100,))
In [9]: a1 = arange(11)
In [11]: a2 =
On Thu, 25 Jan 2007 16:56:54 -0200
Paulo J. S. Silva [EMAIL PROTECTED] wrote:
Em Qui, 2007-01-25 às 19:46 +0100, Nils Wagner escreveu:
It works if you use
M=num.random.rand(2,2)
Nils
Yes, it works for arrays but not for matrices. I thought
that
scipy.linalg functions were
On 1/25/07, Robert Kern [EMAIL PROTECTED] wrote:
Sebastian Haase wrote:
Hi!
When I try running my code on
panther (10.3) with a numpy that was built on tiger (10.4)
it can't load numpy because of missing symbols
in numpy/core/umath.so
The symbols are
_acoshl$LDBL128
_acosl$LDBL128
Generally speaking, you need to build binaries on the lowest-
versioned OS X that
you intend to run on.
The problem with building on 10.3 is that it generally comes only with
gcc 3.3. I remember that some things require gcc4 - right ?
I think that might only bite you if you want to
BTW, This test doesn't work on python 2.3 because sorted does not
exist there.
Ted
On Jan 13, 2007, at 15:15, Stefan van der Walt wrote:
On Sat, Jan 13, 2007 at 10:01:59AM -0800, Keith Goodman wrote:
On 1/11/07, Robert Kern [EMAIL PROTECTED] wrote:
Keith Goodman wrote:
Why is the first
Ted Horst wrote:
BTW, This test doesn't work on python 2.3 because sorted does not
exist there.
Fixed, thank you.
--
Robert Kern
I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an
Sebastian Haase wrote:
The problem with building on 10.3 is that it generally comes only with
gcc 3.3. I remember that some things require gcc4 - right ?
No, you're right. I thought this might have been available with 10.3.9 (the only
version in the 10.3 series that can run Universal binaries
Of course .. that really shouldn't matter if you're just compiling it
for yourself for just that cpu.
On the contrary !
I'm trying to provide a precompiled build of numpy together with a
couple a handy
functions and classes that I made myself,
to establish Python as a development platform
Hi,
I noticed the following behaviour for empty lists:
In [4]: N.median([])
---
exceptions.IndexErrorTraceback (most recent
call last)
/home/stefan/ipython console
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