On Tue, May 24, 2016 at 2:33 PM, R Schumacher wrote:
> At 01:15 PM 5/24/2016, you wrote:
>
> On 5/24/2016 3:57 PM, Eric Moore wrote:
>
> Changing np.arange(10)**3 to have a non-integer dtype seems like a big
> change.
>
>
>
> What about np.arange(100)**5?
>
>
> Interesting, one warning per instan
Hi All,
I've made a new post so that we can make an explicit decision. AFAICT, the
two proposals are
1. Integers to negative integer powers raise an error.
2. Integers to integer powers always results in floats.
My own sense is that 1. would be closest to current behavior and using a
floa
+1
On Sat, Jun 4, 2016 at 10:22 AM, Charles R Harris
wrote:
> Hi All,
>
> I've made a new post so that we can make an explicit decision. AFAICT, the
> two proposals are
>
> Integers to negative integer powers raise an error.
> Integers to integer powers always results in floats.
>
> My own sense
On Sat, Jun 4, 2016 at 10:45 AM, Nathaniel Smith wrote:
> +1
>
> On Sat, Jun 4, 2016 at 10:22 AM, Charles R Harris
> wrote:
>> Hi All,
>>
>> I've made a new post so that we can make an explicit decision. AFAICT, the
>> two proposals are
>>
>> Integers to negative integer powers raise an error.
>>
On Sat, Jun 4, 2016 at 11:22 AM, Charles R Harris wrote:
> Hi All,
>
> I've made a new post so that we can make an explicit decision. AFAICT, the
> two proposals are
>
>
>1. Integers to negative integer powers raise an error.
>2. Integers to integer powers always results in floats.
>
> My
On Sat, Jun 4, 2016 at 3:43 PM, Charles R Harris
wrote:
>
>
> On Sat, Jun 4, 2016 at 11:22 AM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>> Hi All,
>>
>> I've made a new post so that we can make an explicit decision. AFAICT,
>> the two proposals are
>>
>>
>>1. Integers to negat
On Sat, Jun 4, 2016 at 12:47 PM, wrote:
>
>
> On Sat, Jun 4, 2016 at 3:43 PM, Charles R Harris
> wrote:
>>
>>
>>
>> On Sat, Jun 4, 2016 at 11:22 AM, Charles R Harris
>> wrote:
>>>
>>> Hi All,
>>>
>>> I've made a new post so that we can make an explicit decision. AFAICT,
>>> the two proposals ar
On Sat, Jun 4, 2016 at 3:49 PM, Matthew Brett
wrote:
> On Sat, Jun 4, 2016 at 12:47 PM, wrote:
> >
> >
> > On Sat, Jun 4, 2016 at 3:43 PM, Charles R Harris <
> charlesr.har...@gmail.com>
> > wrote:
> >>
> >>
> >>
> >> On Sat, Jun 4, 2016 at 11:22 AM, Charles R Harris
> >> wrote:
> >>>
> >>> Hi
>
> +1
>
> On Sat, Jun 4, 2016 at 10:22 AM, Charles R Harris
> wrote:
>> Hi All,
>>
>> I've made a new post so that we can make an explicit decision. AFAICT, the
>> two proposals are
>>
>> Integers to negative integer powers raise an error.
>> Integers to integer powers always results in floats.
>
Hi. This is a heads up and RFC about a pull request I am preparing for
PyArray_Scalar, within the framework of getting NumPy working properly
on PyPy. For those who don't know, the numpy HEAD builds and runs on
PyPy2.7 HEAD (otherwise known as nightly default). However there are a
number of tes
Also in favor of 2. Always return a float for '**'
On 04.06.2016 21:47, josef.p...@gmail.com wrote:
On Sat, Jun 4, 2016 at 3:43 PM, Charles R Harris
wrote:
On Sat, Jun 4, 2016 at 11:22 AM, Charles R Harris
wrote:
Hi All,
I've made a new post so that we can make an explicit decision.
AFAIC
On Sat, Jun 4, 2016 at 2:07 PM, V. Armando Sole wrote:
> Also in favor of 2. Always return a float for '**'
Even if we did want to switch to this, it's such a major
backwards-incompatible change that I'm not sure how we could actually
make the transition without first making it an error for a whi
On Sat, Jun 4, 2016 at 6:10 PM, Nathaniel Smith wrote:
> On Sat, Jun 4, 2016 at 2:07 PM, V. Armando Sole wrote:
> > Also in favor of 2. Always return a float for '**'
>
> Even if we did want to switch to this, it's such a major
> backwards-incompatible change that I'm not sure how we could actua
On Sat, Jun 4, 2016 at 5:27 PM, wrote:
>
>
> On Sat, Jun 4, 2016 at 6:10 PM, Nathaniel Smith wrote:
>
>> On Sat, Jun 4, 2016 at 2:07 PM, V. Armando Sole wrote:
>> > Also in favor of 2. Always return a float for '**'
>>
>> Even if we did want to switch to this, it's such a major
>> backwards-inc
On Sat, Jun 4, 2016 at 8:07 PM, Charles R Harris
wrote:
>
>
> On Sat, Jun 4, 2016 at 5:27 PM, wrote:
>
>>
>>
>> On Sat, Jun 4, 2016 at 6:10 PM, Nathaniel Smith wrote:
>>
>>> On Sat, Jun 4, 2016 at 2:07 PM, V. Armando Sole wrote:
>>> > Also in favor of 2. Always return a float for '**'
>>>
>>>
On Jun 4, 2016 13:58, "Matti Picus" wrote:
>
> Hi. This is a heads up and RFC about a pull request I am preparing for
PyArray_Scalar, within the framework of getting NumPy working properly on
PyPy. For those who don't know, the numpy HEAD builds and runs on PyPy2.7
HEAD (otherwise known as nightly
On Sat, Jun 4, 2016 at 6:17 PM, wrote:
>
>
> On Sat, Jun 4, 2016 at 8:07 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Sat, Jun 4, 2016 at 5:27 PM, wrote:
>>
>>>
>>>
>>> On Sat, Jun 4, 2016 at 6:10 PM, Nathaniel Smith wrote:
>>>
On Sat, Jun 4, 2016 at 2:07 PM, V.
On Sat, Jun 4, 2016 at 9:16 PM, Charles R Harris
wrote:
>
>
> On Sat, Jun 4, 2016 at 6:17 PM, wrote:
>
>>
>>
>> On Sat, Jun 4, 2016 at 8:07 PM, Charles R Harris <
>> charlesr.har...@gmail.com> wrote:
>>
>>>
>>>
>>> On Sat, Jun 4, 2016 at 5:27 PM, wrote:
>>>
On Sat, Jun 4, 2016 at
On Sat, Jun 4, 2016 at 7:54 PM, wrote:
>
>
> On Sat, Jun 4, 2016 at 9:16 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Sat, Jun 4, 2016 at 6:17 PM, wrote:
>>
>>>
>>>
>>> On Sat, Jun 4, 2016 at 8:07 PM, Charles R Harris <
>>> charlesr.har...@gmail.com> wrote:
>>>
>
On Jun 4, 2016 7:23 PM, "Charles R Harris"
wrote:
>
[...]
> We could always try the float option and see what breaks, but I expect
there is a fair amount of code using small exponents like 2 or 3 where it
is expected that the result is still integer. I would like more input from
users than we have
On Sat, Jun 4, 2016 at 9:26 PM, Nathaniel Smith wrote:
> On Jun 4, 2016 7:23 PM, "Charles R Harris"
> wrote:
> >
> [...]
> > We could always try the float option and see what breaks, but I expect
> there is a fair amount of code using small exponents like 2 or 3 where it
> is expected that the r
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