On Tue, Nov 24, 2015 at 7:13 PM, Nathaniel Smith wrote:
> On Nov 24, 2015 11:57 AM, "John Kirkham" wrote:
> >
> > Takes an array and tacks on arbitrary dimensions on either side, which
> is returned as a view always. Here are the relevant features:
> >
> > * Creates a view of the array that has
> > I just upgraded my numpy and started to received a TypeError from one of
> > my codes that relied on the old, less strict, casting behaviour. The error
> > message, however, left me scratching my head when trying to debug something
> > like this:
> >
> > >>> a = array([0],dtype=uint64)
> > >>>
On Mon, Nov 23, 2015 at 2:09 PM, Sebastian Berg
wrote:
> On Mo, 2015-11-23 at 13:31 -0800, Eli Bendersky wrote:
> > Hello,
> >
> >
> > I'm trying to understand the buffering done by the Numpy iterator
> > interface (the new post 1.6-one) when running ufuncs on arrays that
> > require broadcasting
On Nov 24, 2015 11:57 AM, "John Kirkham" wrote:
>
> Takes an array and tacks on arbitrary dimensions on either side, which is
returned as a view always. Here are the relevant features:
>
> * Creates a view of the array that has the dimensions before and after
tacked on to it.
> * Takes the before
On Tue, Nov 24, 2015 at 12:42 PM, Peter Creasey <
p.e.creasey...@googlemail.com> wrote:
> Hi,
>
> I just upgraded my numpy and started to received a TypeError from one of
> my codes that relied on the old, less strict, casting behaviour. The error
> message, however, left me scratching my head whe
Takes an array and tacks on arbitrary dimensions on either side, which is
returned as a view always. Here are the relevant features:
* Creates a view of the array that has the dimensions before and after tacked
on to it.
* Takes the before and after arguments independent of each other and the
c
Hi,
I just upgraded my numpy and started to received a TypeError from one of my
codes that relied on the old, less strict, casting behaviour. The error
message, however, left me scratching my head when trying to debug something
like this:
>>> a = array([0],dtype=uint64)
>>> a += array([1],dtype=i
