For 10.5 with python 3.12.5, sage.parallel.ncpus.ncpus() is 1 without 
giving a value to SAGE_NUM_THREADS and 16 if sage is opened as 
"SAGE_NUM_THREADS=16 
sage". For 10.6.beta9 (python 3.13.2), the value is always one; in another 
computer 10.6.beta9 is using python 3.12.5 and the value is always one. 
El miércoles, 12 de marzo de 2025 a las 6:15:27 UTC+9, dim...@gmail.com 
escribió:

> On Mon, Mar 10, 2025 at 4:28 AM enriqu...@gmail.com
> <enriqu...@gmail.com> wrote:
> >
> > If I set the variable SAGE_NUM_THREADS to a number of cores before 
> opening a sage session (command line or jupyterlab) there is a different 
> behaviour in 10.5 and in 10.6beta;
> > parallel computation can be done in 10.5, there is no effect in the beta 
> version (I do not know when it started to fail). In the beta version 
> parallel computation is possible declaring the number of cores using the 
> following hack (suggested to me at some point by Miguel Marco)
> > def miscpus():
> > return "put here the number of cores"
> > sage.parallel.ncpus.ncpus=miscpus
> > Is it possible to know when SAGE_NUM_THREADS lost its effects?
>
> what is the output of sage.parallel.ncpus.ncpus() in 10.5 and in
> 10.6.beta* for you?
> (without using the hack above). Are they using the same Python version?
>
> The code for sage.parallel.ncpus.ncpus didn't change for a year, since 
> 10.3.
>
> Dima
>
>
>
>
> > Thanks, Enrique.
> >
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> .
>

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