On Mon, Sep 24, 2012 at 7:09 PM, Chris Barker wrote:
> On Sat, Sep 22, 2012 at 1:00 PM, Sebastian Haase wrote:
>> Oh,
>> is this actually documented - I knew that np.array would (by default)
>> only create copies as need ... but I never knew it would - if all fits
>> - even just return the origin
On Sat, Sep 22, 2012 at 1:00 PM, Sebastian Haase wrote:
> Oh,
> is this actually documented - I knew that np.array would (by default)
> only create copies as need ... but I never knew it would - if all fits
> - even just return the original Python-object...
was that a typo? is is "asarray" that r
On Sun, 2012-09-23 at 18:54 +0100, Nathaniel Smith wrote:
> On Sat, Sep 22, 2012 at 10:24 PM, Sebastian Berg
> wrote:
> > In case you are interested, the second (real odditiy), is caused by
> > ISFORTRAN and IS_F_CONTIGUOUS mixup, I have found three occurances where
> > I think ISFORTRAN should be
On Sat, Sep 22, 2012 at 10:24 PM, Sebastian Berg
wrote:
> In case you are interested, the second (real odditiy), is caused by
> ISFORTRAN and IS_F_CONTIGUOUS mixup, I have found three occurances where
> I think ISFORTRAN should be replaced by the latter. Check also:
>
> https://github.com/seberg/n
In case you are interested, the second (real odditiy), is caused by
ISFORTRAN and IS_F_CONTIGUOUS mixup, I have found three occurances where
I think ISFORTRAN should be replaced by the latter. Check also:
https://github.com/seberg/numpy/commit/4d2713ce8f2107d225fe291f5da6c6a75436647e
Sebastian
Oh,
is this actually documented - I knew that np.array would (by default)
only create copies as need ... but I never knew it would - if all fits
- even just return the original Python-object...
Thanks,
Sebastian Haase
On Sat, Sep 22, 2012 at 8:12 PM, Travis Oliphant wrote:
> Check to see if this
Ooops obviously thanks a lot, stupid me. Thanks was also enough to
figure the rest out myself...
On Sat, 2012-09-22 at 13:12 -0500, Travis Oliphant wrote:
> Check to see if this expression is true
>
> no is o
>
> In the first case no and o are the same object
>
>
> Travis
>
> --
> Travis Oli
Check to see if this expression is true
no is o
In the first case no and o are the same object
Travis
--
Travis Oliphant
(on a mobile)
512-826-7480
On Sep 22, 2012, at 1:01 PM, Sebastian Berg wrote:
> Hi,
>
> I have a bit of trouble figuring this out. I would have expected
> np.asarray(a
Hi,
I have a bit of trouble figuring this out. I would have expected
np.asarray(array) to go through ctors, PyArray_NewFromArray, but it
seems to me it does not, so which execution path is exactly taken here?
The reason I am asking is that I want to figure out this behavior/bug,
and I really am no
