Hey,
I have written a small PR, to fix np.delete, since it would change the
behavior a little (to the better IMO) I think I should also write to the
list? So here is the problem with np.delete:
1. When using slices with negative strides, it does not work (best case)
or give even wrong results.
2.
Hi,
Finally, the change about the casting rule was done in NumPy 1.6. It
is our test that checked specifically for numpy 1.6 behavior. But
adding the test to make sure it don't change is an excellent idea.
Fred
On Thu, Sep 20, 2012 at 7:30 PM, Charles R Harris
wrote:
>
>
> On Thu, Sep 20, 2012
On Thu, Sep 20, 2012 at 2:20 PM, Travis Oliphant wrote:
> Here are a couple of scripts that might help (I used them to compare
> casting tables between various versions of NumPy):
>
> Casting Table Creation Script
>
> import numpy as np
>
> operators = np.set_numeric_ops()
On 09/20/2012 04:04 PM, Nathaniel Smith wrote:
> On Thu, Sep 20, 2012 at 10:56 PM, Orion Poplawski wrote:
>> This is a plea for some help. We've been having trouble getting scipy to
>> pass all of the tests in the Fedora 18 build with python 3.3 (although it
>> seems to build okay in Fedora 19).
On Thu, Sep 20, 2012 at 10:56 PM, Orion Poplawski wrote:
> This is a plea for some help. We've been having trouble getting scipy to
> pass all of the tests in the Fedora 18 build with python 3.3 (although it
> seems to build okay in Fedora 19). Below are the logs of the build. There
> appears t
This is a plea for some help. We've been having trouble getting scipy to pass
all of the tests in the Fedora 18 build with python 3.3 (although it seems to
build okay in Fedora 19). Below are the logs of the build. There appears to
be some kind of memory corruption that manifests itself a lit
On Wed, Sep 19, 2012 at 1:08 AM, Charles R Harris
wrote:
>
>
> The relevant setting is in numpy/core/include/numpy/ndarraytypes.h
>
> #define NPY_DEFAULT_ASSIGN_CASTING NPY_SAME_KIND_CASTING
>
> I think that if we want to raise a warning we could define a new rule,
>
> NPY_WARN_SAME_KIND_CASTING
Here are a couple of scripts that might help (I used them to compare casting
tables between various versions of NumPy):
Casting Table Creation Script
import numpy as np
operators = np.set_numeric_ops().values()
types = '?bhilqpBHILQPfdgFDGO'
to_check = ['add', 'divide',
On Mon, Sep 17, 2012 at 10:22 AM, Matthew Brett wrote:
> Hi,
>
> On Sun, Sep 9, 2012 at 6:12 PM, Frédéric Bastien wrote:
>> The third is releated to change to the casting rules in numpy. Before
>> a scalar complex128 * vector float32 gived a vector of dtype
>> complex128. Now it give a vector of
On Thu, Sep 20, 2012 at 12:00 PM, Nathaniel Smith wrote:
> On Thu, Sep 20, 2012 at 3:33 PM, Ondřej Čertík
> wrote:
>> On Thu, Sep 20, 2012 at 4:50 AM, Richard Hattersley
>> wrote:
>>> Hi,
>>>
>>> [First of all - thanks to everyone involved in the 1.7 release. Especially
>>> Ondřej - it takes a
On Thu, Sep 20, 2012 at 3:33 PM, Ondřej Čertík wrote:
> On Thu, Sep 20, 2012 at 4:50 AM, Richard Hattersley
> wrote:
>> Hi,
>>
>> [First of all - thanks to everyone involved in the 1.7 release. Especially
>> Ondřej - it takes a lot of time & energy to coordinate something like this.]
>>
>> Is the
On Thu, Sep 20, 2012 at 4:50 AM, Richard Hattersley
wrote:
> Hi,
>
> [First of all - thanks to everyone involved in the 1.7 release. Especially
> Ondřej - it takes a lot of time & energy to coordinate something like this.]
>
> Is there an up to date release schedule anywhere? The trac milestone st
Hi,
[First of all - thanks to everyone involved in the 1.7 release. Especially
Ondřej - it takes a lot of time & energy to coordinate something like this.]
Is there an up to date release schedule anywhere? The trac milestone still
references June.
Regards,
Richard Hattersley
On 20 September 201
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