On Sat, Jul 4, 2020, 2:39 PM Neal Becker wrote:
>
>
> On Sat, Jul 4, 2020 at 1:56 PM Robert Kern wrote:
>
>
>>
>> 3. Is there a way of telling the number of draws a generator did?
>>>
>>> The use case is to checkpoint the number of draws and `.advance` the
>>> bit generator when resuming fr
On Sat, Jul 4, 2020 at 1:56 PM Robert Kern wrote:
>
> 3. Is there a way of telling the number of draws a generator did?
>>
>> The use case is to checkpoint the number of draws and `.advance` the
>> bit generator when resuming from the checkpoint. (The runs are longer
>> then the batch queue
On Sat, Jul 4, 2020 at 1:03 PM Evgeni Burovski
wrote:
> Thanks Kevin, thanks Robert, this is very helpful!
>
> I'd strongly agree with Matti that your explanations could/should make
> it to the docs. Maybe it's something for the GSoD.
>
> While we're on the subject, one comment and two (hopefully
Thanks Kevin, thanks Robert, this is very helpful!
I'd strongly agree with Matti that your explanations could/should make
it to the docs. Maybe it's something for the GSoD.
While we're on the subject, one comment and two (hopefully last) questions:
1. My two cents w.r.t. `np.random.simple_seed()
On Mon, Jun 29, 2020 at 11:30 AM Robert Kern wrote:
> On Mon, Jun 29, 2020 at 11:10 AM Kevin Sheppard <
> kevin.k.shepp...@gmail.com> wrote:
>
>>
>>1. The total number of digits in the binary representation is
>>somewhere between 32 and 128.
>>
>>
> I like using the standard library `secr
On Mon, Jun 29, 2020 at 11:10 AM Kevin Sheppard
wrote:
> It can be anything, but “good practice” is to use a number that would have
> 2 properties:
>
>
>
>1. When expressed as binary number, it would have a large number of
>both 0s and 1s
>
>
The properties of the SeedSequence algorithm r
]> > > > Kevin> > > > > > From: Evgeni Burovski> Sent: Monday, June 29, 2020 2:21 PM> To: Discussion of Numerical Python> Subject: Re: [Numpy-discussion] reseed random generator (1.19)> > > > (apologies for jumping into a conversation)> > So what
gt;
>
> Kevin
>
>
>
>
>
> From: Evgeni Burovski
> Sent: Monday, June 29, 2020 2:21 PM
> To: Discussion of Numerical Python
> Subject: Re: [Numpy-discussion] reseed random generator (1.19)
>
>
>
> (apologies for jumping into a conversation)
>
> So what i
On Mon, Jun 29, 2020 at 8:02 AM Neal Becker wrote:
> I was using this to reset the generator, in order to repeat the same
> sequence again for testing purposes.
>
In general, you should just pass in a new Generator that was created with
the same seed.
def function_to_test(rg):
x = rg.standa
On 6/29/20 5:37 PM, Kevin Sheppard
wrote:
The best practice is to use a SeedSequence
to spawn child SeedSequences, and then to use these children
to initialize your generators or bit generators.
needs to be wrapped in a generatorrngs = [Generator(PCG64(child)) for child in children] Kevin From: Evgeni BurovskiSent: Monday, June 29, 2020 2:21 PMTo: Discussion of Numerical PythonSubject: Re: [Numpy-discussion] reseed random generator (1.19) (apologies for jumping into a conversation)So what
y reseeding.
>
>
>
> Kevin
>
>
>
>
>
>
>
> From: Neal Becker
> Sent: Monday, June 29, 2020 1:01 PM
> To: Discussion of Numerical Python
> Subject: Re: [Numpy-discussion] reseed random generator (1.19)
>
>
>
> I was using this to reset the g
just create a new object. At some point in the development of Generator both methods were timed and there was no performance to reusing the same object by reseeding. Kevin From: Neal BeckerSent: Monday, June 29, 2020 1:01 PMTo: Discussion of Numerical PythonSubject: Re: [Numpy-discussion] reseed
I was using this to reset the generator, in order to repeat the same
sequence again for testing purposes.
On Wed, Jun 24, 2020 at 6:40 PM Robert Kern wrote:
> On Wed, Jun 24, 2020 at 3:31 PM Neal Becker wrote:
>
>> Consider the following:
>>
>> from numpy.random import default_rng
>> rs = defau
On Wed, Jun 24, 2020 at 3:31 PM Neal Becker wrote:
> Consider the following:
>
> from numpy.random import default_rng
> rs = default_rng()
>
> Now how do I re-seed the generator?
> I thought perhaps rs.bit_generator.seed(), but there is no such attribute.
>
In general, reseeding an existing gene
Just call
rs = default_rng()
Again.
On Wed, Jun 24, 2020, 20:31 Neal Becker wrote:
> Consider the following:
>
> from numpy.random import default_rng
> rs = default_rng()
>
> Now how do I re-seed the generator?
> I thought perhaps rs.bit_generator.seed(), but there is no such attribute.
>
>
Consider the following:
from numpy.random import default_rng
rs = default_rng()
Now how do I re-seed the generator?
I thought perhaps rs.bit_generator.seed(), but there is no such attribute.
Thanks,
Neal
--
*Those who don't understand recursion are doomed to repeat it*
17 matches
Mail list logo
