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Metadata-Version: 2.1
Name: pyparsing
Version: 3.1.1
Summary: pyparsing module - Classes and methods to define and execute parsing grammars
Author-email: Paul McGuire <[email protected]>
Requires-Python: >=3.6.8
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
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Compilers
Classifier: Topic :: Text Processing
Classifier: Typing :: Typed
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Project-URL: Homepage, https://github.com/pyparsing/pyparsing/
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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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Metadata-Version: 2.1
Name: contourpy
Version: 1.1.1
Summary: Python library for calculating contours of 2D quadrilateral grids
Author-Email: Ian Thomas <[email protected]>
License: BSD 3-Clause License

Copyright (c) 2021-2023, ContourPy Developers.
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Classifier: Development Status :: 5 - Production/Stable
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Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Visualization
Project-URL: Homepage, https://github.com/contourpy/contourpy
Project-URL: Changelog, https://contourpy.readthedocs.io/en/latest/changelog.html
Project-URL: Documentation, https://contourpy.readthedocs.io
Project-URL: Repository, https://github.com/contourpy/contourpy
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Description-Content-Type: text/markdown

<img alt="ContourPy" src="https://raw.githubusercontent.com/contourpy/contourpy/main/docs/_static/contourpy_logo_horiz.svg" height="90">

ContourPy is a Python library for calculating contours of 2D quadrilateral grids. It is written in C++11 and wrapped using pybind11.

It contains the 2005 and 2014 algorithms used in Matplotlib as well as a newer algorithm that includes more features and is available in both serial and multithreaded versions. It provides an easy way for Python libraries to use contouring algorithms without having to include Matplotlib as a dependency.

* **Documentation**: https://contourpy.readthedocs.io
* **Source code**: https://github.com/contourpy/contourpy

| | |
| --- | --- |
| Latest release | [![PyPI version](https://img.shields.io/pypi/v/contourpy.svg?label=pypi&color=fdae61)](https://pypi.python.org/pypi/contourpy) [![conda-forge version](https://img.shields.io/conda/v/conda-forge/contourpy.svg?label=conda-forge&color=a6d96a)](https://anaconda.org/conda-forge/contourpy) [![anaconda version](https://img.shields.io/conda/v/anaconda/contourpy.svg?label=anaconda&color=1a9641)](https://anaconda.org/anaconda/contourpy) |
| Downloads | [![PyPi downloads](https://img.shields.io/pypi/dm/contourpy?label=pypi&style=flat&color=fdae61)](https://pepy.tech/project/contourpy) [![conda-forge downloads](https://raw.githubusercontent.com/contourpy/condabadges/main/cache/contourpy_conda-forge_monthly.svg)](https://anaconda.org/conda-forge/contourpy) [![anaconda downloads](https://raw.githubusercontent.com/contourpy/condabadges/main/cache/contourpy_anaconda_monthly.svg)](https://anaconda.org/anaconda/contourpy) |
| Python version | [![Platforms](https://img.shields.io/pypi/pyversions/contourpy?color=fdae61)](https://pypi.org/project/contourpy/) |
| Coverage | [![Codecov](https://img.shields.io/codecov/c/gh/contourpy/contourpy?color=fdae61&label=codecov)](https://app.codecov.io/gh/contourpy/contourpy) |
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