An interpreter with language syntax like MATLAB®/Octave written in Typescript.
ISBN 978-65-00-82338-7
This package emulates a parser and evaluator for a subset of
MATLAB®/Octave
language. It is written completely in Typescript.
The project page with a functional demo use of this package in a
Web application can be found
at mathjslab.com. The repository is in the
MathJSLab Organization on
GitHub.
It can run in browser environment and implements an arbitrary precision
arithmetics using decimal.js
package.
It uses the ANTLR
parser generator to
generate a parser that create an
AST
(Abstract Syntax Tree) of input.
Other components besides the parser
are the evaluator, which computes the inputs, and the MathML
unparser, that generates mathematical representations of the inputs and results.
This software is intended for educational purposes, to provide teachers and
students with a computer aided calculation tool that is capable of running in
a browser environment. So it can be easily adapted to be used on different devices
and environments.
All MathJSLab
interpreter
operations, functions and commands are documented in the
demo Web application's command
help NAME
. Its in
english,
portuguese
and spanish.
It can also be accessed directly from the
demo Web application repository.
Additional documentation, beyond the operations, functions and commands, is
available in the
demo Web application doc
directory.
Features
Browser support
MathJSLab works on any ES2015 compatible
JavaScript
engine, including Node.js®,
Chrome,
Firefox,
Safari,
Opera,
and Edge.
Installation
Install the mathjslab
package:
npm install mathjslab
Usage
The basic API is an instantiation of Evaluator
class with optional configuration.
Import MathJSLab API:
import { Evaluator, TEvaluatorConfig } from 'mathjslab';
Instantiate the Evaluator
class with:
let evaluator: Evaluator = new Evaluator(EvaluatorConfiguration);
Examples
let input: AST.NodeInput = evaluator.Parse('x=sqrt(1+2*3)');
let result: AST.NodeInput = evaluator.Evaluate(input);
let mathmlInput: string = evaluator.UnparseMathML(input);
let mathmlResult: string = evaluator.UnparseMathML(result);
Using a CDN
You can optimize your application by reducing the size of your bundle by
loading MathJSLab package through a
CDN.
You can use UNPKG, jsDelivr,
or any other CDN
that delivers content from the npm repository.
To load MathJSLab package through
UNPKG
CDN copy the
following HTML code:
<script src="https://www.unpkg.com/mathjslab"></script>
To load MathJSLab package through
jsDelivr
CDN copy the
following HTML code:
<script src="https://cdn.jsdelivr.net/npm/mathjslab/lib/mathjslab.min.js"></script>
The UMD module will be loaded with mathjslab
name. You can instantiate Evaluator
with:
let evaluator = new mathjslab.Evaluator(EvaluatorConfiguration);
Contributing
To contribute to this project see our
contributing guidelines.
Join the community chat:
Project build and test
To build the project, you only need Node.js® and
the Java Runtime Environment installed. The
project build and dependencies are managed by
npm through scripts in the
package.json
file. The build scripts download the latest version of
ANTLR into the resources directory for use by the
project. The test suite uses the Jest
framework.
Build scripts
The following build scripts are defined:
- Before building and testing
mathjslab
, to initialize the project workspace, run:
npm run update
This will update the dependencies, install all of them, and download the
latest version of ANTLR, preparing any resources
needed to build the project.
- Run the
mathjslab
tests:
npm run test
- Format and lint
mathjslab
code:
npm run format:lint
- Build
mathjslab
package:
npm run build
- To cleanup all build files in workspace use:
npm run clean
- To delete resources and dependencies, the
package-lock.json
file and
node_modules
directory too, use:
npm run clean:all
After run this command you will need to do workspace setup running
npm run update
again.
Language subset
Currently only the mathematical expressions of the language are implemented. The control and loop structures are not yet implemented.
There are some differences from the original
MATLAB®/Octave.
The main difference is that there are only one a complex numeric type. Other
implemented types is boolean, character string, structure and function handle.
Common arrays (not only cell arrays) can hold any type of element.
License
MIT License
Copyright © 2016-2024 Sergio Lindau, mathjslab.com, ISBN 978-65-00-82338-7.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.