path: root/contrib/python/pythran/.dist-info/METADATA

Metadata-Version: 2.1
Name: pythran
Version: 0.16.1
Summary: Ahead of Time compiler for numeric kernels
Author-email: Serge Guelton <serge.guelton@telecom-bretagne.eu>
License: Copyright (c) 2012, HPC Project and Serge Guelton
        All rights reserved.
        
        Redistribution and use in source and binary forms, with or without
        modification, are permitted provided that the following conditions are met:
        
        	Redistributions of source code must retain the above copyright notice, this
        	list of conditions and the following disclaimer.
        
        	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.
        
        	Neither the name of HPCProject, Serge Guelton nor the names of its
        	contributors may be used to endorse or promote products derived from this
        	software without specific prior written permission.
        
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Project-URL: Homepage, https://github.com/serge-sans-paille/pythran
Project-URL: Documentation, https://pythran.readthedocs.io
Project-URL: Changelog, https://pythran.readthedocs.io/en/latest/Changelog.html
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: C++
Classifier: Topic :: Software Development :: Compilers
Classifier: Topic :: Software Development :: Code Generators
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS
Requires-Dist: ply >=3.4
Requires-Dist: setuptools
Requires-Dist: gast ~=0.5.0
Requires-Dist: numpy
Requires-Dist: beniget ~=0.4.0
Provides-Extra: doc
Requires-Dist: numpy ; extra == 'doc'
Requires-Dist: nbsphinx ; extra == 'doc'
Requires-Dist: scipy ; extra == 'doc'
Requires-Dist: guzzle-sphinx-theme ; extra == 'doc'
Provides-Extra: test
Requires-Dist: ipython ; extra == 'test'
Requires-Dist: nbval ; extra == 'test'
Requires-Dist: cython ; extra == 'test'
Requires-Dist: wheel ; extra == 'test'
Requires-Dist: packaging ; extra == 'test'

Pythran
#######

https://pythran.readthedocs.io

What is it?
-----------

Pythran is an ahead of time compiler for a subset of the Python language, with a
focus on scientific computing. It takes a Python module annotated with a few
interface descriptions and turns it into a native Python module with the same
interface, but (hopefully) faster.

It is meant to efficiently compile **scientific programs**, and takes advantage
of multi-cores and SIMD instruction units.

Until 0.9.5 (included), Pythran was supporting Python 3 and Python 2.7.
It now only supports Python **3**.

Installation
------------

Pythran sources are hosted on https://github.com/serge-sans-paille/pythran.

Pythran releases are hosted on https://pypi.python.org/pypi/pythran.

Pythran is available on conda-forge on https://anaconda.org/conda-forge/pythran.

Debian/Ubuntu
=============

Using ``pip``
*************

1. Gather dependencies:

   Pythran depends on a few Python modules and several C++ libraries. On a debian-like platform, run::

        $> sudo apt-get install libatlas-base-dev
        $> sudo apt-get install python-dev python-ply python-numpy

2. Install with ``pip``::

        $> pip install pythran

Using ``mamba`` or ``conda``
****************************

1. Using ``mamba`` (https://github.com/conda-forge/miniforge#mambaforge) or ``conda`` (https://github.com/conda-forge/miniforge)
 
2. Run::

       $> mamba install -c conda-forge pythran

   or::

       $> conda install -c conda-forge pythran

Mac OSX
=======

Using brew (https://brew.sh/)::

    $> pip install pythran
    $> brew install openblas
    $> printf '[compiler]\nblas=openblas\ninclude_dirs=/usr/local/opt/openblas/include\nlibrary_dirs=/usr/local/opt/openblas/lib' > ~/.pythranrc

Depending on your setup, you may need to add the following to your ``~/.pythranrc`` file::

    [compiler]
    CXX=g++-4.9
    CC=gcc-4.9

ArchLinux
=========

Using ``pacman``::

    $> pacman -S python-pythran


Fedora
======

Using ``dnf``::

    $> dnf install pythran

Windows
=======

Windows support is on going and only targets Python 3.5+ with either Visual Studio 2017 or, better, clang-cl::

    $> pip install pythran

Note that using ``clang-cl.exe`` is the default setting. It can be changed
through the ``CXX`` and ``CC`` environment variables.


Other Platform
==============

See MANUAL file.


Basic Usage
-----------

A simple pythran input could be ``dprod.py``

.. code-block:: python

    """
    Naive dotproduct! Pythran supports numpy.dot
    """
    #pythran export dprod(int list, int list)
    def dprod(l0,l1):
        """WoW, generator expression, zip and sum."""
        return sum(x * y for x, y in zip(l0, l1))


To turn it into a native module, run::

    $> pythran dprod.py

That will generate a native dprod.so that can be imported just like the former
module::

    $> python -c 'import dprod' # this imports the native module instead


Documentation
-------------

The user documentation is available in the MANUAL file from the doc directory.

The developer documentation is available in the DEVGUIDE file from the doc
directory. There is also a TUTORIAL file for those who don't like reading
documentation.

The CLI documentation is available from the pythran help command::

    $> pythran --help

Some extra developer documentation is also available using pydoc. Beware, this
is the computer science incarnation for the famous Where's Waldo? game::

    $> pydoc pythran
    $> pydoc pythran.typing
    $> pydoc -b  # in the browser


Examples
--------

See the ``pythran/tests/cases/`` directory from the sources.


Contact
-------

Praise, flame and cookies:

- pythran@freelists.org -- register at https://www.freelists.org/list/pythran first!

- #pythran on OFTC, https://oftc.net 

- serge.guelton@telecom-bretagne.eu

The mailing list archive is available at https://www.freelists.org/archive/pythran/.

Citing
------

If you need to cite a Pythran paper, feel free to use

.. code-block:: bibtex

    @article{guelton2015pythran,
      title={Pythran: Enabling static optimization of scientific python programs},
      author={Guelton, Serge and Brunet, Pierrick and Amini, Mehdi and Merlini,
                      Adrien and Corbillon, Xavier and Raynaud, Alan},
      journal={Computational Science \& Discovery},
      volume={8},
      number={1},
      pages={014001},
      year={2015},
      publisher={IOP Publishing}
    }


Authors
-------

See AUTHORS file.

License
-------

See LICENSE file.