On 5/3/2011 9:34 PM, Dan Halbert wrote:
> On 5/3/2011 7:52 PM, Gaston Fiore wrote:
>> I'm trying to create a vector (or a matrix, could be either) with
>> 3200975422129 elements but I'm not being successful
> In words, that's about 3.2 trillion float32's, so
On 5/3/2011 7:52 PM, Gaston Fiore wrote:
> I'm trying to create a vector (or a matrix, could be either) with
> 3200975422129 elements but I'm not being successful
In words, that's about 3.2 trillion float32's, so about 24 trillion
bytes, > 2^41. So, yes, you are running out of memory, by a factor
On Thursday, April 28, 2011 5:22pm, "Dan Halbert" said:
> I'm having trouble loading a large remote .npy file on Windows XP. This is on
> numpy-1.3.0 on Windows XP SP3:
>
> numpy.load(r'\\myserver\mydir\big.npy')
>
> will fail with this sort of
I'm having trouble loading a large remote .npy file on Windows XP. This is on
numpy-1.3.0 on Windows XP SP3:
numpy.load(r'\\myserver\mydir\big.npy')
will fail with this sort of error being printed:
"14328000 items requested but only 54 read"
and then I get this with a backtrace:
"Val
On Sunday, March 20, 2011 11:08am, "Ben Smith" said:
> ... What I'd like to do is
> limit myself to just the functions that are implemented in python, package it
> with
> py2exe and hand that to anyone that needs it. So, my question, if anyone
> knows,
> what's implemented in python and what de
On 3/7/2011 9:25 PM, Nathaniel Smith wrote:
> On Mon, Mar 7, 2011 at 3:36 PM, Dan Halbert wrote:
>> Or is there some higher-level compiled array language that looks something
>> like NumPy code?
>
> You might want to try Eigen:
>http://eigen.tuxfamily.org/
Thanks
On 3/7/2011 9:13 PM, Sturla Molden wrote:
> Den 08.03.2011 00:36, skrev Dan Halbert:
>> Do you all have some recommendations about tools, libraries, or languages
>> that you have used to rewrite NumPy code easily into something that's more
>> self-contained and calla
On 3/7/2011 6:48 PM, Christopher Barker wrote:
> On 3/7/11 3:36 PM, Dan Halbert wrote:
>> We currently have some straightforward NumPy code that indirectly implements
>> a C API defined by a third party. We built a Cython layer that directly
>> provides the API in a .a li
We currently have some straightforward NumPy code that indirectly implements a
C API defined by a third party. We built a Cython layer that directly provides
the API in a .a library, and then calls Python. The layering looks like this:
C main program -> API in Cython -> Python -> NumPy
This i
