CasperSecurity
Metadata-Version: 1.2
Name: pyparsing
Version: 2.4.7
Summary: Python parsing module
Home-page: https://github.com/pyparsing/pyparsing/
Author: Paul McGuire
Author-email: ptmcg@users.sourceforge.net
License: MIT License
Download-URL: https://pypi.org/project/pyparsing/
Description: PyParsing -- A Python Parsing Module
====================================
|Build Status|
Introduction
============
The pyparsing module is an alternative approach to creating and
executing simple grammars, vs. the traditional lex/yacc approach, or the
use of regular expressions. The pyparsing module provides a library of
classes that client code uses to construct the grammar directly in
Python code.
*[Since first writing this description of pyparsing in late 2003, this
technique for developing parsers has become more widespread, under the
name Parsing Expression Grammars - PEGs. See more information on PEGs at*
https://en.wikipedia.org/wiki/Parsing_expression_grammar *.]*
Here is a program to parse ``"Hello, World!"`` (or any greeting of the form
``"salutation, addressee!"``):
.. code:: python
from pyparsing import Word, alphas
greet = Word(alphas) + "," + Word(alphas) + "!"
hello = "Hello, World!"
print(hello, "->", greet.parseString(hello))
The program outputs the following::
Hello, World! -> ['Hello', ',', 'World', '!']
The Python representation of the grammar is quite readable, owing to the
self-explanatory class names, and the use of '+', '|' and '^' operator
definitions.
The parsed results returned from ``parseString()`` can be accessed as a
nested list, a dictionary, or an object with named attributes.
The pyparsing module handles some of the problems that are typically
vexing when writing text parsers:
- extra or missing whitespace (the above program will also handle ``"Hello,World!"``, ``"Hello , World !"``, etc.)
- quoted strings
- embedded comments
The examples directory includes a simple SQL parser, simple CORBA IDL
parser, a config file parser, a chemical formula parser, and a four-
function algebraic notation parser, among many others.
Documentation
=============
There are many examples in the online docstrings of the classes
and methods in pyparsing. You can find them compiled into online docs
at https://pyparsing-docs.readthedocs.io/en/latest/. Additional
documentation resources and project info are listed in the online
GitHub wiki, at https://github.com/pyparsing/pyparsing/wiki. An
entire directory of examples is at
https://github.com/pyparsing/pyparsing/tree/master/examples.
License
=======
MIT License. See header of pyparsing.py
History
=======
See CHANGES file.
.. |Build Status| image:: https://travis-ci.org/pyparsing/pyparsing.svg?branch=master
:target: https://travis-ci.org/pyparsing/pyparsing
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=2.6, !=3.0.*, !=3.1.*, !=3.2.*