Hi,
I've discovered calling numpy.arange(1.1, 17.1) and numpy(1.1, 16.1) both
return the same results. Could this be a numpy bug, or is there some
behaviour I'm possibly not aware of here?
I've pasted in the results of an interactive Python session comparing and
contrasting these with some other
On Wed, Oct 17, 2012 at 11:38 AM, Sebastian Walter
wrote:
> I'd like to have a look at the implementation of iadd in numpy,
> but I'm having a real hard time to find the corresponding code.
>
> I'm basically stuck at
> https://github.com/numpy/numpy/blob/master/numpy/core/src/multiarray/number.c#L
On Tue, Oct 16, 2012 at 11:54 PM, Nathaniel Smith wrote:
> On Tue, Oct 16, 2012 at 9:06 PM, Thouis (Ray) Jones
> wrote:
> > On Sun, Oct 7, 2012 at 10:15 AM, Thouis (Ray) Jones
> wrote:
> >> I plan to import all the Trac issues to github by the end of this
> >> week. I want to get an up-to-date
On Oct 17, 2012, at 12:48 PM, Dag Sverre Seljebotn wrote:
> On 10/17/2012 06:56 PM, Dag Sverre Seljebotn wrote:
>> On 10/17/2012 05:22 PM, Travis Oliphant wrote:
>>> Hey all,
>>>
>>> https://github.com/numpy/numpy/pull/482
>>>
>>> is a pull request that changes the hash function for numpy void
On 10/17/2012 06:56 PM, Dag Sverre Seljebotn wrote:
> On 10/17/2012 05:22 PM, Travis Oliphant wrote:
>> Hey all,
>>
>> https://github.com/numpy/numpy/pull/482
>>
>> is a pull request that changes the hash function for numpy void
>> scalars. These are the objects returned from fully indexing a
>>
On 10/17/2012 05:22 PM, Travis Oliphant wrote:
> Hey all,
>
> https://github.com/numpy/numpy/pull/482
>
> is a pull request that changes the hash function for numpy void
> scalars. These are the objects returned from fully indexing a
> structured array: array[i] if array is a 1-d structured arr
On Wed, Oct 17, 2012 at 10:22:28AM -0500, Travis Oliphant wrote:
> There is a small chance this will break someone's code if they relied on this
> behavior. I don't believe anyone is currently relying on this behavior -- but
> I've been proven wrong before. What do people on this list think?
Hey all,
https://github.com/numpy/numpy/pull/482
is a pull request that changes the hash function for numpy void scalars.
These are the objects returned from fully indexing a structured array:
array[i] if array is a 1-d structured array.
Currently their hash function just hashes the poin
I'd like to have a look at the implementation of iadd in numpy,
but I'm having a real hard time to find the corresponding code.
I'm basically stuck at
https://github.com/numpy/numpy/blob/master/numpy/core/src/multiarray/number.c#L487
Could someone give me a pointer where to find it?
Respectively,
