from setuptools import setup, find_packages

from codecs import open # To use a consistent encoding

from os import path

from distutils.extension import Extension

from warnings import warn

try:

from Cython.Distutils import build_ext

except:

# If we couldn't import Cython, use the normal setuptools

# and look for a pre-compiled .c file instead of a .pyx file

from setuptools.command.build_ext import build_ext

ext_modules = [Extension("dataRead", ["dataRead.c"])]

else:

# If we successfully imported Cython, look for a .pyx file

ext_modules = [Extension("dataRead", ["dataRead.pyx"])]

class CustomBuildExtCommand(build_ext):

"""build_ext command for use when numpy headers are needed."""

def run(self):

# Import numpy here, only when headers are needed

import numpy

# Add numpy headers to include_dirs

self.include_dirs.append(numpy.get_include())

# Call original build_ext command

build_ext.run(self)

name = 'mdfreader'

version = '2.7.8'

description = 'A Measured Data Format file parser'

here = path.abspath(path.dirname(__file__))

# Get the long description from the relevant file

with open(path.join(here, 'README.md'), encoding='utf-8') as f:

long_description = f.read()

long_description = long_description

# The project's main homepage.

url = 'https://github.com/ratal/mdfreader'

# Author details

author = 'Aymeric Rateau'

author_email = '[email protected]'

# Choose your license

license = 'GPL3'

# See https://pypi.python.org/pypi?%3Aaction=list_classifiers

classifiers = [

# How mature is this project? Common values are

# 3 - Alpha

# 4 - Beta

# 5 - Production/Stable

'Development Status :: 4 - Beta',

# Indicate who your project is intended for

'Intended Audience :: Science/Research',

'Topic :: Scientific/Engineering',

# Pick your license as you wish (should match "license" above)

'License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)',

# 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 :: 2.7',

'Programming Language :: Python :: 3.4',

'Programming Language :: Python :: 3.5',

'Programming Language :: Python :: 3.6'

]

# What does your project relate to?

keywords = 'Parser MDF file'

# You can just specify the packages manually here if your project is

# simple. Or you can use find_packages().

packages = find_packages(exclude=['contrib', 'docs', 'tests*'])

# 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:

# https://packaging.python.org/en/latest/technical.html#install-requires-vs-requirements-files

install_requires = ['numpy>=1.14', 'sympy', 'lxml']

# 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]

extras_require = {

'export': ['scipy', 'h5py', 'xlwt', 'xlwt3', 'openpyxl>2.0', 'pandas'],

'plot': ['matplotlib'],

'converter': ['PyQt4'],

'experimental': ['bitarray'],

'compression': ['blosc'],

}

# 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 MANIFEST.in as well.

# package_data={

# 'sample': ['package_data.dat'],

# },

# Although 'package_data' is the preferred approach, in some case you may

# need to place data files outside of your packages.

# see http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files

# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'

# data_files=[('my_data', ['data/data_file'])],

# 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.

entry_points = {

'console_scripts': ['mdfconverter=mdfconverter.mdfconverter:main', ],

}

try: # try compiling module with cython or c code

setup(name=name, version=version, description=description, long_description=long_description,

url=url, author=author, author_email=author_email, license=license, classifiers=classifiers,

keywords=keywords, packages=packages, install_requires=install_requires, extras_require=extras_require,

entry_points=entry_points, ext_modules=ext_modules)

except: # without Cython

extras_require.pop('experimental')

install_requires.append('bitarray') # replaces cython requirement by bitarray

setup(name=name, version=version, description=description, long_description=long_description,

url=url, author=author, author_email=author_email, license=license, classifiers=classifiers,

keywords=keywords, packages=packages, install_requires=install_requires, extras_require=extras_require,

entry_points=entry_points)

warn('It is strongly advised to install Cython along with compilation environment '

'for performance and robustness purpose')