root/andrea/: pythran-0.18.1 metadata and description
Ahead of Time compiler for numeric kernels
| author_email | Serge Guelton <serge.guelton@telecom-bretagne.eu> |
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| description_content_type | text/x-rst |
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| 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. 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. |
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| metadata_version | 2.4 |
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| requires_python | >=3.7 |
Because this project isn't in the mirror_whitelist,
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pythran-0.18.1-py3-none-any.whl
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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 3.7 and upward.
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
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
Install with pip:
$> pip install pythran
Using mamba or conda
Using mamba (https://github.com/conda-forge/miniforge) or conda (https://github.com/conda-forge/miniforge)
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
"""
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
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
@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}
}License
See LICENSE file.