Comments (4)
@moringspeaker
Hi, thanks for asking your question!
First of all, the main branch is a bit different from the released version (v0.1.1). I'd like to explain how it works based on the main branch.
The core functionlity of this library is latexify.frontend.get_latex()
. This function works as a "compiler" from Python functions to LaTeX with following steps:
- Obtains the source code of the function:
latexify_py/src/latexify/parser.py
Lines 25 to 32 in c6c291d
- Obtains the parse tree of the source code:
latexify_py/src/latexify/parser.py
Line 34 in c6c291d
- Modifies the parse tree according to the config:
latexify_py/src/latexify/frontend.py
Lines 51 to 55 in c6c291d
- Generates LaTeX code corresponding to the modified parse tree:
latexify_py/src/latexify/frontend.py
Lines 58 to 62 in c6c291d
lateixfy.function
(formarly latexify.with_latex
) is a function that converts the given function to another callable object that works similarly to the original function, but associated with the generated LaTeX code. This object can communicate with Jupyter to show the associated LaTeX expression (MathJax).
As for "decorator", the Python decorator is a syntax sugar to call the function with decorated stuff and replace the stuff with the return value. So the following two code are basically the same:
@latexify.function
def f(x):
...
def f(x):
...
f = latexify.function(f)
from latexify_py.
Thanks for your patient explaination! I spent some time to read this awesome project's source code and I wonder if you guys plan to support some more complicated formats like a matrix or something? It's always annoyed for me to write my own code to transfer a Numpy matrix into Latex format.
from latexify_py.
support some more complicated formats like a matrix or something
Yeah sometimes it is requested, and particularly for arrays, I am still thinking of how/what range of expressions should be supported by this library (e.g., 2x2 arrays are small enough to compile, but large arrays and/or arrays with more than 2 dimensions are basically not suitable for LaTeX).
It would be nice to have a specific issue for arrays. Let me create it and continue discussion.
from latexify_py.
Delegated to #78.
from latexify_py.
Related Issues (20)
- Custom multiplication behavior (option to use \cdot everywhere) HOT 1
- Should `def(x): func(x)` generate `\func x` or `\func \mathopen{}\left( x \mathclose{}\right)`? HOT 2
- Fine-grained control over function name replacements
- Designing "plugin" interface HOT 3
- Use `latex.py` for to standardize codegen HOT 2
- Feedback From a User HOT 14
- Please add support for Python >3.11 HOT 2
- IPython extension to automatically use conversions on displayed objects HOT 1
- Better Identifier For Multi Index and RHS HOT 4
- Can you sub in values for show work? HOT 1
- Сonverting expressions or strings to latex format HOT 5
- Release New Version HOT 6
- Support for sqrt-like nth-roots when rendering x**(1/p)? HOT 2
- Support for log1p and expm1? HOT 4
- `if-elif` statements break if there's no `else` HOT 1
- Typo in \mathopen HOT 3
- Counterintuitive (wrong?) parenthesis when combining exp() and powers HOT 16
- Function docstring and reduce_assignments enabled does not play nice HOT 2
- Include .tex output examples in latexify_py/examples/examples.ipynb HOT 3
- math.pow not working properly on google colab HOT 2
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from latexify_py.