On Tue, May 5, 2015 at 1:52 PM, Alexander Brezinov <
alexander.brezi...@mmbresearch.com> wrote:
> Hello
>
> The import of scipy.linalg is hanging in DOUBLE_mutiply function
> (BINARY_LOOP) in umath.so. After attaching the gdb and dumping the local
> varibles the args are empty strings. Could you p
That makes sense. I think it's the way to go, thanks.
The downside is using **kwargs instead of an explicit keepdims arg gives
a more obscure signature, but using the new __signature__ attribute this
could be hidden for python 3 users and python2 using ipython3+.
On 05/05/2015 01:55 PM, Nathaniel
On May 5, 2015 11:05 AM, "Neil Girdhar" wrote:
>
> Maybe they should have written their code with **kwargs that consumes all
keyword arguments rather than assuming that no keyword arguments would be
added? The problem with this approach in general is that it makes writing
code unnecessarily convo
Hello
The import of scipy.linalg is hanging in DOUBLE_mutiply function
(BINARY_LOOP) in umath.so. After attaching the gdb and dumping the local
varibles the args are empty strings. Could you please advise if this is
known issue? I just search the mailing list and could not find any solution
for th
On Di, 2015-05-05 at 11:13 -0400, Allan Haldane wrote:
> Hello all,
>
> A question:
>
> Many ndarray methods (eg sum, mean, any, min) have a "keepdims" keyword
> argument, but ndarray subclass methods sometimes don't. The 'matrix'
> subclass doesn't, and numpy functions like 'np.sum' intentionall
Maybe they should have written their code with **kwargs that consumes all
keyword arguments rather than assuming that no keyword arguments would be
added? The problem with this approach in general is that it makes writing
code unnecessarily convoluted.
On Tue, May 5, 2015 at 1:55 PM, Nathaniel Sm
AFAICT the only real solution here is for np.sum and friends to propagate
the keepdims argument if and only if it was explicitly passed to them (or
maybe the slightly different, if and only if it has a non-default value).
If we just started requiring code to handle it and passing it
unconditionally
Hello all,
A question:
Many ndarray methods (eg sum, mean, any, min) have a "keepdims" keyword
argument, but ndarray subclass methods sometimes don't. The 'matrix'
subclass doesn't, and numpy functions like 'np.sum' intentionally
drop/ignore the keepdims argument when called with an ndarray subcl
I have been very happy with the bitarray package. I don't know if it is
faster than bitstring, but it is worth a mention. Just watch out for any
hashing operations on its objects, it doesn't seem to do them right (set(),
dict(), etc...), but comparison operations work just fine.
Ben Root
_
Hi,
To answer Jerome (I hope), data is sometime spread on bytes shared by other
data in the whole record. 10 bits was an example, sometimes, 24, 2, 8, 7 etc.
all combined including some padding between them. I am not sure to have
understood...
To Nathaniel, yes indeed I could read the records i
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