On Mon, Mar 8, 2021 at 12:27 PM Alex Braat wrote:
>
> Small update:
> Replacing Integers(p^2) by QuotientRing(ZZ, p^2) seems to fix the issue.
Could you open a trac ticket on this?
It looks as if multivariate polynomial rings over Integers(p^2) are
directly using Singular,
but I don't think
On Mon, Mar 8, 2021 at 7:28 AM 'Daniel Volinski' via sage-support
wrote:
>
> Hi Dima,
>
> This is a page in the Cadabra site: Cadabra: use with Jupyter
>
> I just want to calculate some General relativity stuff using Cadabra on a
> Jupyter Notebook as shown in their picture.
I'm able to build
On Mon, Mar 8, 2021 at 12:48 PM 'Hackenberg, Klaus' via sage-support
wrote:
>
> High,
>
> I installed Miniconda3 and then issued
>
> conda config --add channels conda-forge
> conda create -n sage sage python=3.8.5
> conda activate sage
>
> and now " sage --version" tells me
>
> SageMath
High,
I installed Miniconda3 and then issued
conda config --add channels conda-forge
conda create -n sage sage python=3.8.5
conda activate sage
and now " sage --version" tells me
SageMath version 9.2, Release Date: 2020-10-24
hackekc6@dlp762 R --version
R version 4.0.3 (2020-10-10) --
Small update:
Replacing Integers(p^2) by QuotientRing(ZZ, p^2) seems to fix the issue.
Op maandag 8 maart 2021 om 10:34:06 UTC+1 schreef dim...@gmail.com:
> On Mon, Mar 8, 2021 at 9:25 AM Alex Braat wrote:
> >
> > Hello,
> >
> > I have encountered some strange behavior when I evaluate
You're now hacking numpy on a 7-year old CPU (that's your Intel(R)
Xeon(R) CPU E7-4830 v2 @ 2.20GHz)...
Probably its AVX support in gcc is a bit broken.
Try
CC="gcc -march=core2" make -j8 numpy
(this should create a numpy build without AVX support)
On Mon, Mar 8, 2021 at 11:49 AM 'Hackenberg,
High,
I upgraded gcc to 10.2.0 but that did not help.
Regards Klaus
--
Klaus Hackenberg
IT-Systeme und Software-Integration
IT.SERVICES
Ruhr-Universität Bochum | 44780 Bochum
fon: +49 234 32 23485
http://www.it-services.rub.de/
Von: sage-support@googlegroups.com Im Auftrag
On Mon, Mar 8, 2021 at 9:25 AM Alex Braat wrote:
>
> Hello,
>
> I have encountered some strange behavior when I evaluate multivariate
> polynomials over the integers modulo n. For instance,
>
> In:
> p = 3
> S = Integers(p^2)
> R. = PolynomialRing(S)
> f = x^2 * y^2
> print(f([S(p),S(1)]),
Hello,
I have encountered some strange behavior when I evaluate multivariate
polynomials over the integers modulo n. For instance,
In:
p = 3
S = Integers(p^2)
R. = PolynomialRing(S)
f = x^2 * y^2
print(f([S(p),S(1)]), f([S(1), S(p)]))
Out:
1 0
while both evaluations should ofcourse be equal
