I am personally not convinced that Karatsuba, Coppersmith-Winograd and
Strassen will provide much help here. Basically because only rarely, the
size of the problem is the main issue. These algorithms show excellent
asymptotic behaviour, but also has an overhead which leads to that quite
large
Den tors 14 mars 2019 kl 08:31 skrev Bhavya Chawla :
> As no update is received so should I consider it as the sympy team isn't
> interested in my proposal?
>
Not necessarily. You need to consider that people have other things to do
and that not every area have a mentor yet. I believe that you
What about code coverage? If I understand it correctly the tests take to
long on Travis to include code coverage (just an impression I got while
browsing Issues, no idea how it works in practice). Maybe there is
something nifty built in on Azure Pipelines that can be used for that? Or
if it
There is a fix in https://github.com/sympy/sympy/pull/16796 which I think
should solve it.
Thanks for reporting it. You may report any additional bugs at
https://github.com/sympy/sympy/issues (although this clearly also worked
well).
BR Oscar
Den tors 9 maj 2019 kl 17:26 skrev Javier Arantegui
These are the current release notes, so nothing summarized really:
https://github.com/sympy/sympy/wiki/Release-Notes-for-1.5
BR Oscar
Den tis 13 aug. 2019 21:48David Bailey skrev:
> On 12/08/2019 22:27, Aaron Meurer wrote:
>
> Now that GSoC is wrapping up (this is the last week), I'd like to
The bug was fixed in https://github.com/sympy/sympy/pull/17343 but is not
merged (yet).
Hopefully it happens soon.
BR Oscar
Den ons 21 aug. 2019 20:33Aaron Meurer skrev:
> On Wed, Aug 21, 2019 at 3:10 AM David Bailey wrote:
> >
> > On 20/08/2019 23:35, Oscar Benjamin wrote:
> >
> > Hi
doesn't crash for large expressions.
>
> Jason
> moorepants.info
> +01 530-601-9791
>
>
> On Thu, Oct 22, 2020 at 6:49 PM Oscar Gustafsson <
> oscar.gustafs...@gmail.com> wrote:
>
>> How much do they differ? I checked the issue and the latest result wasn't
>&
How much do they differ? I checked the issue and the latest result wasn't
that bad, although probably too much to blame floating-point errors.
However, if you push the numerical range into e.g. denormalized numbers I
guess it can simply be that. Not very likely though. Is it still that type
of
After currently using Mathematica for similar things, I would just like to
encourage you to provide some nice method to simplify constraints of
piecewise functions using your simplifier, including additional constraints
on the range of variables (as SymPy doesn't have a way to put ranges on
Den tors 18 feb. 2021 kl 14:36 skrev Oscar Benjamin <
oscar.j.benja...@gmail.com>:
> On Thu, 18 Feb 2021 at 11:32, Oscar Gustafsson
> wrote:
> >
> > After currently using Mathematica for similar things, I would just like
> to encourage you to provide some nice met
Symbol('x_alpha_beta') # SymPys own magic, works for pretty printer as well
Symbol('x_{\\alpha \\beta}') # Escape the \
Symbol(r'x_{\alpha \beta}') # Python "raw" string, no need to escape
BR Oscar
Den tis 28 sep. 2021 kl 16:15 skrev Paul Royik :
> I'm trying to create a symbol, where both
Multi-variate extreme value calculations would indeed be a useful addition
to SymPy (and therefore to SymPy Gamma, although I do not know how often
SymPy Gamma updates SymPy version).
BR Oscar
Den tors 18 nov. 2021 22:28Zoufiné Lauer-Baré
skrev:
>
> Dear SymPy Community,
>
> the IexFinder:
This behavior is from the Python tokenizer.
In [13]: input_code = StringIO('l_::p+3')
In [14]: list(generate_tokens(input_code.readline))
Out[14]:
[TokenInfo(type=1 (NAME), string='l_', start=(1, 0), end=(1, 2),
line='l_::p+3'),
TokenInfo(type=54 (OP), string=':', start=(1, 2), end=(1, 3),
Should be a * after (r1-r3).
Eq((r1-r3)*((1-cos(theta-phi)* ddotphi-sin(theta-phi)*dotphi*
*2)-2*(r1-r2)*ddottheta,g*sin(theta)))],[ddottheta,ddotphi]))
BR Oscar
Den fre 5 nov. 2021 15:00muhammad ramadani fatsey skrev:
> Traceback (most recent call last): File
>
lder a keep the
> git history?
>
> On Tuesday, February 1, 2022 at 12:12:40 a.m. UTC+1 Aaron Meurer wrote:
>
>> On Mon, Jan 31, 2022 at 2:01 PM Oscar Benjamin
>> wrote:
>> >
>> > On Mon, 31 Jan 2022 at 20:53, Aaron Meurer wrote:
>> >
that "someone" (at least Aaron I assume) creates repos
and are willing to assist in setting up deployment chains etc. I may
personally not be willing to take on a larger role for any of these repos,
but can definitely be part of them and assist in moving rubi.
BR Oscar Gustafsson
--
Yo
Directly after sending the email, I found this highly relevant issue
regarding mpmath:
https://github.com/fredrik-johansson/mpmath/issues/550
Den mån 31 jan. 2022 kl 10:15 skrev Oscar Gustafsson <
oscar.gustafs...@gmail.com>:
> Dear all,
>
> two issues that I've been
Yes, it is a bug, see this much simpler example:
from sympy.abc import s
from sympy.physics.control.lti import TransferFunction
from sympy.physics.control.control_plots import bode_plot
tf = TransferFunction(100, 100+s, s)
bode_plot(tf)
[image: image.png]
Here it is clear that the
There are two (I think, at least one) PRs that are not merged that does
this. So it would be better to sort one of those out. Iirc there is
limiterd work left, like documentation and testing.
BR Oscar
Den tors 14 apr. 2022 19:54Qijia Liu skrev:
> SciPy has simplex method implemented. Do we
Not sure if you've seen this, but:
https://ghc.anitab.org/programs-and-awards/open-source-day/
Basically, it is a seven hour hackathon to get more females involved in
open source.
If SymPy wants to join, I have already registered as a mentor, so feel free
to add me if required. (I will not be
Not sure where it says, but Friday September 16 8 am to 15 pm pacific time.
Den ons 15 juni 2022 22:45Aaron Meurer skrev:
> Is it just me, or does that site never actually specify when this "open
> source day" actually is?
>
> Aaron Meurer
>
> On Wed, Jun 15, 2022
I've marked a few PRs as candidates to be merged, one requires resolving
merge conflicts, but as far as I can tell there are no major arguments
against merging them. Feel free to remove the milestone and point out what
still may be missing.
BR Oscar
Den lör 18 juni 2022 kl 13:32 skrev Oscar
I think one way (the one I use) is to use lambdify to get a function that
can generate a NumPy output from a NumPy input and then just rely on
Matplotlib. The drawback is that you will have to specify the input in some
way and that parts of the "clever" sampling that SymPy does (and maybe
handle
23 matches
Mail list logo
