Commit a142f119 authored by Momme's avatar Momme

Initial commit importing from module file in
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# Include the license file
include LICENSE.txt
include README.rst
# Include the data files
# recursive-include data *
# If using Python 2.6 or less, then have to include package data, even though
# it's already declared in
numpyXtns README
This package contains various small extension functions for the numpy library.
After downloading the source from the repository install via pip, descend
into the top-level of the source tree
and launch::
pip3 install .
or to install in developers mode::
pip3 install -e .
numpyXtns package initialisation.
from numpyXtns import *
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# This flag says that the code is written to work on both Python 2 and Python
# 3. If at all possible, it is good practice to do this. If you cannot, you
# will need to generate wheels for each Python version that you support.
"""Based on the setuptools based setup module from the PyPA example.
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description =
# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across and the project code, see
description='Numpy extension functions.',
# The project's main homepage.
# Author details
author='Momme Butenschön',
# Choose your license
# See
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Software Development :: Libraries :: Python Modules',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: GPL',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
# What does your project relate to?
keywords='numpy, scipy',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
# Alternatively, if you want to distribute just a, uncomment
# this:
# py_modules=["my_module"],
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
install_requires=['numpy', 'scipy',],
# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax,
# for example:
# $ pip install -e .[dev,test]
'dev': ['check-manifest'],
'test': [],
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in as well.
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
# 'console_scripts': [
# ],
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