texsurgery 0.3.7

Replace some commands and environments within a TeX document by evaluating code inside a jupyter kernel

TexSurgery

Replaces some commands and environments within a TeX document by evaluating code inside a jupyter kernel.

Much like sagetex, but with the following differences:

1. sagetex collects all the code using LaTeX and only then runs sage to get the LaTeX output, which definitely works, but this conflicts with some interesting LaTeX packages and is slower than a direct conversion.
2. TexSurgery works in any language with a jupyter kernel

Installation

python3 -m pip install texsurgery

Testing

The following command will perform some common tests, and specific tests for some of the kernels that are installed:

python3 -m unittest tests

Selectors

texsurgery can also gather information using a limited choice of css-style selectors:

>>> from texsurgery.texsurgery import TexSurgery
>>> tex = open('tests/test_find.tex').read()
>>> TexSurgery(tex).findall('question,questionmultx runsilent')
[('questionmultx', [('runsilent', 'a = randint(1,10)\n')]),
 ('question',
   [('runsilent', 'a = randint(2,10)\nf = sin(a*x)\nfd = f.derivative(x)\n')])]
>>> TexSurgery(tex).findall('question,questionmultx choices \correctchoice')
[('question', [('choices', [('\correctchoice', '$\sage{fd}$')])])]
>>> TexSurgery(tex).findall('questionmultx \AMCnumericChoices[_nargs=2]')
[('questionmultx', [('\\AMCnumericChoices',
  ['\\eval{8+a}', 'digits=2,sign=false,scoreexact=3'])]
)]
>>> TexSurgery(tex).find(r'questionmultx{questionid}[questionid=basic-multiplication]')
('questionmultx', {'questionid':'basic-multiplication'},
 r'''\begin{runsilent}
a = randint(2,10)
\end{runsilent}
What is $8*\eval{a}$?
\AMCnumericChoices{\eval{8*a}}{digits=2,sign=false,scoreexact=3}
''')

Example

Start with this LaTeX code:

% Any jupyter kernel is available
\usepackage[sagemath]{texsurgery}

% Compatible with any other LaTeX package
\usepackage[bloc,completemulti]{automultiplechoice}

% Example of user macros
\providecommand{\abs}[1]{\lvert#1\rvert}
\newcommand{\R}{\mathbb{R}}

% TexSurgery can replace some \commands before pdflatex runs
\begin{minipage}{.85\linewidth}
Student: {\bf \name \;  \surname},  \quad ID:  {\bf \id}
\end{minipage}

\begin{question}{derivative-sin}
\qvariant{1} \qtags{derivative}
% TexSurgery will run code in a jupyter kernel
\begin{runsilent}
set_random_seed(\seed)
a = randint(2,10)
f = sin(a*x)
fd = f.derivative(x)
\end{runsilent}
% TexSurgery will eval code in a jupyter kernel
% and replace \eval{expr} with the output from the kernel
% \sage{expr} is just an alias for \eval{latex(expr)}
What is the first derivative of $\sage{f}$?
\begin{choices}
  \correctchoice{$\sage{fd}$}
  \wrongchoice{$\sage{fd*a}$}
  \wrongchoice{$\sage{fd + a}$}
\end{choices}
\begin{explain}
\begin{run}
# TexSurgery will run code in the jupyter kernel
# and replace this environment with the full output
\end{run}
\end{explain}
\end{question}

and run this python code:

from texsurgery.texsurgery import TexSurgery
student_vars = dict(name='Fulano', surname='de Tal', seed='1', id='314159')
ts = TexSurgery(tex_source).data_surgery(student_vars).code_surgery()

in order to transform it into this:

% Compatible with any other LaTeX package
\usepackage[bloc,completemulti]{automultiplechoice}

% Example of user macros
\providecommand{\abs}[1]{\lvert#1\rvert}
\newcommand{\R}{\mathbb{R}}

\begin{minipage}{.85\linewidth}
Student: {\bf Fulano \;  de Tal},  \quad ID:  {\bf 314159}
\end{minipage}

\begin{question}{derivative-sin}
\qvariant{1} \qtags{derivative}
What is the first derivative of $\sin\left(7 \, x\right)$?
\begin{choices}
  \correctchoice{$7 \, \cos\left(7 \, x\right)$}
  \wrongchoice{$49 \, \cos\left(7 \, x\right)$}
  \wrongchoice{$7 \, \cos\left(7 \, x\right) + 7$}
\end{choices}
\begin{explain}
\begin{run}
# TexSurgery will run code in the jupyter kernel
# and replace this environment with the full output
\end{run}
\end{explain}
\end{question}

Thanks

To all our colleagues that gave feedback to the early versions, specially Fabricio from ETSIN.UPM and carlos from ETSIAAB.UPM