Frozen dimensions:
I started with just making every 3-vector and 3x3-matrix structured arrays
with the relevant single sub-array entry
I was actually suggesting omitting the structured dtype (ie, field names)
altogether, and just using the subarray dtypes (which exist alone, but not
in arrays).
On Mon, Jun 11, 2018 at 11:10 AM, Matti Picus wrote:
> If there is a desire to do a bug-fix release 1.14.5 I would like to try my
> hand at releasing it, using doc/RELEASE_WALKTHROUGH.rst.txt. There were a
> few issues around compiling 1.14.4 on alpine and NetBSD.
> Since 1.15 will probably be re
If there is a desire to do a bug-fix release 1.14.5 I would like to
try my hand at releasing it, using doc/RELEASE_WALKTHROUGH.rst.txt.
There were a few issues around compiling 1.14.4 on alpine and
NetBSD.
Since 1.15 will probably be released soon, do we continue to push
On Mon, Jun 11, 2018 at 10:26 AM, wrote:
>
>
> On Mon, Jun 11, 2018 at 2:43 AM, Ralf Gommers
> wrote:
>
>>
>>
>> On Sun, Jun 10, 2018 at 10:36 PM, Robert Kern
>> wrote:
>>
>>> On Sun, Jun 10, 2018 at 8:04 PM Ralf Gommers
>>> wrote:
>>> >
>>> > On Sun, Jun 10, 2018 at 6:08 PM, Robert Kern
>>>
>
> Nathaniel:
>
> Output shape feels very similar to
> output dtype to me, so maybe the general way to handle this would be
> to make the first callback take the input shapes+dtypes and return the
> desired output shapes+dtypes?
>
> This hits on an interesting alternative to frozen dimensions - np
On Mon, Jun 11, 2018 at 2:43 AM, Ralf Gommers
wrote:
>
>
> On Sun, Jun 10, 2018 at 10:36 PM, Robert Kern
> wrote:
>
>> On Sun, Jun 10, 2018 at 8:04 PM Ralf Gommers
>> wrote:
>> >
>> > On Sun, Jun 10, 2018 at 6:08 PM, Robert Kern
>> wrote:
>> >>
>> >> On Sun, Jun 10, 2018 at 5:27 PM Ralf Gommer
On Sun, Jun 10, 2018 at 11:53 PM, Ralf Gommers wrote:
>
> On Sun, Jun 10, 2018 at 11:15 PM, Robert Kern wrote:
>>
>> The intention of this code is to shuffle two same-length sequences in the
>> same way. So now if I write my code well to call np.random.seed() once at
>> the start of my program, t
On Sun, Jun 10, 2018 at 11:54 PM Ralf Gommers
wrote:
>
> On Sun, Jun 10, 2018 at 11:15 PM, Robert Kern
wrote:
>> Puzzlingly, the root sin of unconditionally and unavoidably reseeding
for some of these functions is still there even though I showed how and why
to avoid it. This is one reason why I
On Sun, Jun 10, 2018 at 11:44 PM Ralf Gommers
wrote:
> Note that scipy.stats distributions allow passing in either a RandomState
instance or an integer as seed (which will be used for seeding a new
instance, not for np.random.seed) [1]. That seems like a fine design
pattern as well, and passing o
Maybe a good place for a stable, testing focused generator would be in
numpy.random.testing. This could host a default implementation of
StableGenerator, although a better name might be TestingGenerator. It would
also help users decide that this is not the generator they are looking for (I
th
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