umptions to them? That way, proxies will inherit assumptions but new
symbols shadowing the "assumed about" ones will not. Perhaps a pseudorandom
hash will do?
- Anton Loukianov
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Hi,
I know that there has been some work on latex printing. Has there been a
recent regression on latex rendering in ipython notebook? I seem to only be
able to get png rendering.
I am running the git versions of ipython and sympy.
A minimal example is
%load_ext sympy.interactive.ipythonprin
I've isolated the issue to commit f64974c, and opened an
issue https://github.com/sympy/sympy/issues/2039 .
- Anton
On Wednesday, April 24, 2013 2:41:14 PM UTC-4, Aaron Meurer wrote:
>
> If there isn't an issue open about it, please open one. I think there
> is some issue with the git version o
Never mind, that commit is old news. Since then MathJax rendering seems to
have been disabled on purpose in interactive/printing.py . Enabling it
works.
- Anton
On Wednesday, April 24, 2013 4:17:53 PM UTC-4, Anton Loukianov wrote:
>
> I've isolated the issue to commit f64974c, an
Yeah, my bad. It looks like
https://code.google.com/p/sympy/issues/detail?id=3537 is the relevant issue.
The problem seems to be the incorrect handling of built-in python types.
Printing ints and such defaults to image representation, whereas sympy types
work properly. This is still a problem a
Hello,
How do I expand products of square roots like this?
import sympy as sp
A1,A1 = sp.symbols('A1,A2', real=True, constant=True)
coef1 = sp.sqrt(1/(A1**2 + A2**2 + sp.sqrt(A1**4 - A1**2*A2**2 + A2**4)))
coef2 = sp.sqrt(1/(A1**2 + A2**2 - sp.sqrt(A1**4 - A1**2*A2**2 + A2**4)))
sp.expand(coef1*
