s once I get a
few spare cycles.
--
Matthew Miller mat...@mattdm.org <http://mattdm.org/>
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On Thu, Feb 19, 2009 at 02:50:01AM +0100, Sturla Molden wrote:
> > I have a shiny new computer with 8 cores and numpy still takes forever
> > to compile
> Yes, forever/8 = forever.
Good point. nan_to_num() could be helpful here.
--
Matthew Miller mat...@mattdm.org
small, like in 10s. Does anyone know if it is because of the memory issue or
> something else? By the way, I am using the method linalg.eigvals(M)
Is this on Linux? If so, try this at a terminal prompt:
dmesg | grep oom
--
Matthew Miller mat...@mattdm.org <
ck-port" that functionality.
Unless I'm misunderstanding, even with the wrapper one can't actually seek
backwards, which is what the numpy code wants to do.
In the meantime, I'm just using numpy.lib.format.read_array() directly.
--
Matthew Miller
ven)
Turns out you can't rewind gzip file handles in Python. Oops. The offending
code is that which distinguishes between npy and npz files. Could there
maybe be something added to just trust me that it's an npy?
Or better yet, is there som
