Replace some commands and environments within a TeX document by evaluating code inside a jupyter kernel
Project description
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:
sagetex
collects all the code using LaTeX and only then runssage
to get the LaTeX output, which definitely works, but this conflicts with some interesting LaTeX packages and is slower than a direct conversion.TexSurgery
works in any language with a jupyter kernel. In particular, you don't need to installsagemath
.
Installation
python3 -m pip install texsurgery
Installation from source
git clone https://framagit.org/pang/texsurgery.git
cd texsurgery
python3 -m pip install -U .
Command line usage
You can call it from the command line as follows:
texsurgery input_file.tex -o output_file.tex
will perform the code substitutions in input_file.tex
and write the result in output_file.tex
The possible parameters are:
-h, --help
shows the help message and exits,input_file
the file to read from. If none given, the standard input will be used.--output_file output_file, -o output_file
writes the result in output file. If it is not provided, the result is directed to the standard output-tex
just perform the code substitution in the latex content (this is the default)-pdf
create a pdf file from the resulting modified tex. If the-o
option is not provided, texsurgery will try to guess the name of the resulting file. This option deppends onpdflatex
being installed in the system.--pdflatex-options
options to be passed to pdflatex (it requires the-pdf
option).
Since it can use standard input/output, it is pipe friendly. So, for example:
texsurgery input_file.tex | pandoc --from latex -o output_file.html
will perform the code substitutions and convert the result to a html (provided you have pandoc
installed).
Likewise, if you have a markdown file input.md
with the lines
\usepackage[python3]{texsurgery}
The result of multiplying 3 and 5 is \eval{3*5}
And run
pandoc input.md --from markdown --to latex -s | texsurgery
you will get the corresponding latex file whith the \usepackage
line removed, and the \eval{3*5}
text substituted by the corresponding result 15
.
In fact, since texsurgery does not require fully correct .tex
code, you can directly run texsurgery in the markdown file!
Testing
If you installed from source, the following command will perform some common tests, and specific tests for some of the kernels that are installed:
python3 -m unittest tests
Selectors
find
and findall
texsurgery
can also gather information using css-style selectors:
.. doctest::
>>> from texsurgery.texsurgery import TexSurgery
>>> tex = open('../tests/test_find.tex').read()
>>> # An environment, which can be question or questionmultx,
>>> # which contains an environment runsilent, and captures its content
>>> TexSurgery(tex).findall('question,questionmultx runsilent')
[('questionmultx', [('runsilent', '\na = randint(1,10)\n')]), ('questionmultx', [('runsilent', '\na = randint(2,10)\n')]), ('question', [('runsilent', '\na = randint(2,10)\nf = sin(a*x)\nfd = f.derivative(x)\n')])]
>>> # An environment, which can be question or questionmultx,
>>> # which contains an environment choices
>>> # which contains a command \correctchoice, and captures its argument
>>> TexSurgery(tex).findall('question,questionmultx choices \correctchoice{choice}')
[('question', [('choices', [('\\correctchoice', {'choice': '$\\sage{fd}$'})])])]
>>> # An environment questionmultx which contains a command
>>> # \AMCnumericChoices with two arbitrary arguments
>>> TexSurgery(tex).findall('questionmultx \AMCnumericChoices[_nargs=2]')
[('questionmultx', [('\\AMCnumericChoices', {'arg0': '\\eval{8+a}', 'arg1': 'digits=2,sign=false,scoreexact=3'})]), ('questionmultx', [('\\AMCnumericChoices', {'arg0': '\\eval{8*a}', 'arg1': 'digits=2,sign=false,scoreexact=3'})])]
>>> # Environment questionmultx, with first argument exactly equal to basic-multiplication
>>> TexSurgery(tex).find(r'questionmultx{@basic-multiplication}')
('questionmultx', {'@basic-multiplication': 'basic-multiplication'}, '\n\\begin{runsilent}\na = randint(2,10)\n\\end{runsilent}\nWhat is $8*\\eval{a}$?\n\\AMCnumericChoices{\\eval{8*a}}{digits=2,sign=false,scoreexact=3}\n')
>>> # Command \copygroup, with any first argument, and second argument
>>> # exactly equal to BigGroupe
>>> TexSurgery(tex).findall(r'\copygroup{category}{@BigGroupe}')
[('\\copygroup', {'category': 'cat1', '@BigGroupe': 'BigGroupe'}), ('\\copygroup', {'category': 'cat2', '@BigGroupe': 'BigGroupe'})]
>>> # Command \subsection, with any title as first argument,
>>> # with \label{seed}
>>> TexSurgery(tex).find('\\subsection[label="student id"]{title}')
('\\subsection', {'title': 'Student identification'})
>>> # Command \subsection, with any title as first argument,
>>> # with \label{seed} and in this subsection (which is ended by a \section)
>>> # there is a run environment
>>> TexSurgery(tex).find('\\subsection{title}#seed:next run')
('\\subsection', ('run', "\nprint('The random seed is ', seed)\n"))
insertAfter
and replace
texsurgery
can perform search-and-replace, and search-and-insert-after using the css-style selectors:
.. doctest::
>>> from texsurgery.texsurgery import TexSurgery
>>> tex = r'''\begin{choices}
... \wrongchoice{$\sage{fd + a}$}
... \correctchoice{$\sage{fd}$}
... \wrongchoice{$\sage{fd*a}$}
... \end{choices}
... '''
>>> ts = TexSurgery(tex)
>>> ts = ts.replace(r'\correctchoice{choice}', r'\correctchoice{$\sage{f.derivative(x)}$}')
>>> ts.src
'\\begin{choices}\n\\wrongchoice{$\\sage{fd + a}$}\n\\correctchoice{$\\sage{f.derivative(x)}$}\n\\wrongchoice{$\\sage{fd*a}$}\n\\end{choices}\n'
shuffle
texsurgery
can also shuffle some TexElements nested within a parent using the css-style selectors:
.. doctest::
>>> from texsurgery.texsurgery import TexSurgery
>>> tex = r'''\begin{choices}
... \wrongchoice{$\sage{fd + a}$}
... \correctchoice{$\sage{fd}$}
... \wrongchoice{$\sage{fd*a}$}
... \end{choices}
... '''
>>> ts = TexSurgery(tex)
>>> ts = ts.shuffle('choices', r'\correctchoice{choice},\wrongchoice{choice}', randomseed=1)
>>> ts.src
'\\begin{choices}\n\\correctchoice{$\\sage{fd}$}\n\\wrongchoice{$\\sage{fd*a}$}\n\\wrongchoice{$\\sage{fd + a}$}\n\\end{choices}\n'
Kernels
TexSurgery can use several jupyter kernels in the same document. In order to do so, you have to declare them with a line like
\usepackage[sagemath,python3]{texsurgery}
The first one is the default. To use another one, pass the option to the corresponding environment. For example
\begin{run}
1^1
\end{run}
will be transformed into
1
but, because of the different way that sagemath
and python
handle the ^
operator, this
\begin{run}[python3]
1^1
\end{run}
will be transformed into
0
instead.
This can be useful for example to include graphics generated by different systems in the same document.
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file texsurgery-0.6.0.tar.gz
.
File metadata
- Download URL: texsurgery-0.6.0.tar.gz
- Upload date:
- Size: 26.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.22.0 setuptools/51.1.0 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 08c826b60ae8b36e283a9687a38c150e4d2f3b436b3046f5c9160c968d16c4d2 |
|
MD5 | d854f7739a5138383f82aefee1f315d4 |
|
BLAKE2b-256 | c5e5f072051cfe75af170f0a2d6d42472733820034bacef8cf65fecc680b1179 |
File details
Details for the file texsurgery-0.6.0-py3-none-any.whl
.
File metadata
- Download URL: texsurgery-0.6.0-py3-none-any.whl
- Upload date:
- Size: 29.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.22.0 setuptools/51.1.0 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 94002a29432f8fd93c260e68712e5393f347d7f731751039356aeb933ba53f1e |
|
MD5 | 24e4f7e53600df77fa3bbf50eb719610 |
|
BLAKE2b-256 | 389c044c09fd19d593ea845cf1bff0f1f65689f5a6a557049c2c7eb127341a37 |