Skip to content

jcristau/yapps

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

62 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

YAPPS: Yet Another Python Parser System

For the most complete and excellent documentation (e.g. manual with examples) and info, please see original project website: http://theory.stanford.edu/~amitp/yapps/

YAPPS is an easy to use parser generator that is written in Python and generates Python code. There are several parser generator systems already available for Python, but this parser has different goals: Yapps is simple, very easy to use, and produces human-readable parsers.

It is not the fastest or most powerful parser. Yapps is designed to be used when regular expressions are not enough and other parser systems are too much: situations where you might otherwise write your own recursive descent parser.

This fork contains several upward-compatible enhancements to the original YAPPS source, originally included in debian package:

  • Handle stacked input ("include files").
  • Augmented ignore-able patterns (can parse multi-line C comments correctly).
  • Better error reporting.
  • Read input incrementally.

Installation

It's a regular package for Python 2.7 (not 3.X, but there are links to 3.X patches listed on the original author website), but not in pypi, so can be installed from a checkout with something like that:

% python setup.py install

Better way would be to use pip to install all the necessary dependencies as well:

% pip install 'git+https://github.com/mk-fg/yapps.git#egg=yapps'

Note that to install stuff in system-wide PATH and site-packages, elevated privileges are often required. Use "install --user", ~/.pydistutils.cfg or virtualenv to do unprivileged installs into custom paths.

Alternatively, ./yapps2 can be run right from the checkout tree, without any installation.

No extra package dependencies.

About

Yet Another Python Parser System

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 47.3%
  • TeX 44.6%
  • GAP 7.9%
  • Shell 0.2%