[Numpy-discussion] numpy on windows 64 bit

Hi, I am having some problems with win64 with all my tests failing. I installed amd64 Python from Python.org and numpy and scipy from http://www.lfd.uci.edu/~gohlke/pythonlibs/ I noticed that on windows sys.maxint is the 32bit value (2147483647 ___

Re: [Numpy-discussion] numpy on windows 64 bit

Hi Robin, On Mon, Jul 5, 2010 at 5:24 PM, Robin robi...@gmail.com wrote: Hi, I am having some problems with win64 with all my tests failing. Short of saying what those failures are, we can't help you, I installed amd64 Python from Python.org and numpy and scipy from

Re: [Numpy-discussion] numpy on windows 64 bit

On Mon, Jul 5, 2010 at 12:09 PM, David Cournapeau courn...@gmail.com wrote: Short of saying what those failures are, we can't help you, Thanks for reply... Somehow my message got truncated - I had written more detail about the errors! I noticed that on windows sys.maxint is the 32bit value

Re: [Numpy-discussion] debian benchmarks

Sturla Molden sturla at molden.no writes: It is also the kind of tasks where NumPy would help. It would be nice to get NumPy into the shootout. At least for the sake of advertising http://shootout.alioth.debian.org/u32/program.php?test=spectralnormlang=pythonid=2

[Numpy-discussion] subtle behavior when subtracting sub-arrays

Hi I stumbled upon some numpy behavior which I was not aware of. Say I have an array of shape (2,2,3) and want to subtract the sub-array a[...,0] of shape (2,2) from each a[...,i], i=0,1,2 . ## ok ## In [1]: a=arange(2*2*3).reshape(2,2,3) # Copy the array to be subtracted. In

Re: [Numpy-discussion] subtle behavior when subtracting sub-arrays

Mon, 05 Jul 2010 16:03:56 +0200, Steve Schmerler wrote: [clip] To sum up, I find it a bit subtle that a = a - a[...,0][...,None] works as expected, while a -= a[...,0][...,None] does not. I guess the reason is that in the latter case (and the corresponding loop), a[...,0] itself is

Re: [Numpy-discussion] ANN: scipy 0.8.0 release candidate 1

On 7/5/2010 11:13 AM, Ralf Gommers wrote: The failure is yet another case of test precision set slightly too high. Thought we had got them all... Not sure about the matlab thing. Which version of Windows are you running? Vista 64bit (with 32 bit Python 2.6). Alan

[Numpy-discussion] BOF notes: Fernando's proposal: NumPy ndarray with named axes

Fernando Perez proposed a NumPy enhancement, an ndarray with named axes, prototyped as DataArray by him, Mike Trumpis, Jonathan Taylor, Matthew Brett, Kilian Koepsell and Stefan van der Walt. At SciPy 2010 on July 1, Fernando convened a BOF (Birds of a Feather) discussion of this proposal. The