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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.

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Metadata-Version: 2.1
Name: pyparsing
Version: 3.2.0
Summary: pyparsing module - Classes and methods to define and execute parsing grammars
Author-email: Paul McGuire <ptmcg.gm+pyparsing@gmail.com>
Requires-Python: >=3.9
Description-Content-Type: text/x-rst
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 :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Compilers
Classifier: Topic :: Text Processing
Classifier: Typing :: Typed
Requires-Dist: railroad-diagrams ; extra == "diagrams"
Requires-Dist: jinja2 ; extra == "diagrams"
Project-URL: Homepage, https://github.com/pyparsing/pyparsing/
Provides-Extra: diagrams
PyParsing -- A Python Parsing Module
====================================
|Version| |Build Status| |Coverage| |License| |Python Versions| |Snyk Score|
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*
`here <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()`` is a collection of type
``ParseResults``, which 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 <https://pyparsing-docs.readthedocs.io/en/latest/>`__. Additional
documentation resources and project info are listed in the online
`GitHub wiki <https://github.com/pyparsing/pyparsing/wiki>`__. An
entire directory of examples can be found `here <https://github.com/pyparsing/pyparsing/tree/master/examples>`__.
License
=======
MIT License. See header of the `pyparsing __init__.py <https://github.com/pyparsing/pyparsing/blob/master/pyparsing/__init__.py#L1-L23>`__ file.
History
=======
See `CHANGES <https://github.com/pyparsing/pyparsing/blob/master/CHANGES>`__ file.
.. |Build Status| image:: https://github.com/pyparsing/pyparsing/actions/workflows/ci.yml/badge.svg
:target: https://github.com/pyparsing/pyparsing/actions/workflows/ci.yml
.. |Coverage| image:: https://codecov.io/gh/pyparsing/pyparsing/branch/master/graph/badge.svg
:target: https://codecov.io/gh/pyparsing/pyparsing
.. |Version| image:: https://img.shields.io/pypi/v/pyparsing?style=flat-square
:target: https://pypi.org/project/pyparsing/
:alt: Version
.. |License| image:: https://img.shields.io/pypi/l/pyparsing.svg?style=flat-square
:target: https://pypi.org/project/pyparsing/
:alt: License
.. |Python Versions| image:: https://img.shields.io/pypi/pyversions/pyparsing.svg?style=flat-square
:target: https://pypi.org/project/python-liquid/
:alt: Python versions
.. |Snyk Score| image:: https://snyk.io//advisor/python/pyparsing/badge.svg
:target: https://snyk.io//advisor/python/pyparsing
:alt: pyparsing

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