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Metadata-Version: 1.2 Name: pyparsing Version: 2.4.6 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.*