Hey Everyone,
I am trying to build numpy-1.11.1 with ATLAS libraries. The build completes
successfully, and
I am able to use numpy, but there seems to be some problem with my config
because
numpy only ever uses one core, even when multiplying 5000x5000 matrices with
numpy.dot.
My site.cfg is
On Mon, Jul 11, 2016 at 3:27 PM, Pauli Virtanen wrote:
> Mon, 11 Jul 2016 13:01:49 -0400, Jason Newton kirjoitti:
>> Does the ML have any ideas on how one could get a matmul that will not
>> allow any funny business on the evaluation of the products? Funny
>> business here is something like chang
Hi All,
I'm working on upgrading Zipline (github.com/quantopian/zipline) to the
latest numpy, and I'm getting a FutureWarnings about the upcoming change in
the behavior of comparisons on np.NaT. I'd like to be able to do checks
for NaT in a way that's forwards-compatible, but I couldn't find a fu
On 18 July 2016 at 22:20, Scott Sanderson wrote:
> I'm working on upgrading Zipline (github.com/quantopian/zipline) to the
> latest numpy, and I'm getting a FutureWarnings about the upcoming change in
> the behavior of comparisons on np.NaT. I'd like to be able to do checks for
> NaT in a way tha
Agreed -- this would be really nice to have. For now, the best you can do
is something like the following:
def is_na(x):
x = np.asarray(x)
if np.issubdtype(x.dtype, (np.datetime64, np.timedelta64)): # ugh
int_min = np.iinfo(np.int64).min
return x.view('int64') == int_min
As it turns out, I just had to run "python setup.py build --force" after
changing my site.cfg file in order to recompile numpy/core/multiarray.so.
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