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updated setup.py to use twine
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salvadord committed Dec 2, 2016
1 parent c22ca18 commit b4a7eed
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8 changes: 7 additions & 1 deletion MANIFEST.in
Original file line number Diff line number Diff line change
@@ -1,3 +1,9 @@
# Include the data files
recursive-include netpyne *
recursive-include examples *
recursive-exclude
recursive-exclude examples *
global-exclude x86_64
global-exclude x86_64/*
global-exclude .libs*
global-exclude .libs/*
global-exclude *.pyc
167 changes: 86 additions & 81 deletions setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
from setuptools import setup, find_packages
#To use a consistent encoding
from codecs import open
from os import path
from os import path,system

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

Expand All @@ -14,85 +14,90 @@

import netpyne
version = netpyne.__version__

setup(
name = 'netpyne',

version = version, # update this in netpyne/__init__.py; makes it accessible to python scripts too...
description = 'A Python package to develop, simulate and analyse biological neuronal networks in NEURON.',
long_description = long_description,

# The project's main homepage.
url = 'https://github.com/Neurosim-lab/netpyne',

#Author detials
author = 'Salvador Dura-Bernal (Neurosim lab)',
author_email = '[email protected]',

#Choose license
license = 'MIT',

# 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 :: 2 - Pre-Alpha',

# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Visualization',

# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: MIT License',

# 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',
],

# What does project relate to?
keywords = ['neuron','network','developing','framework','biological', 'simulation'],

# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages = find_packages(),

#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/requirements.html
install_requires=[],

# 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={},

# 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={},

# 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 # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
data_files=[],

# 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={},

import sys
if 'upload_via_twine' in sys.argv:
system('twine upload dist/netpyne-'+version+'-py2-none-any.whl')
else:

)





setup(
name = 'netpyne',

version = version, # update this in netpyne/__init__.py; makes it accessible to python scripts too...
description = 'A Python package to develop, simulate and analyse biological neuronal networks in NEURON.',
long_description = long_description,

# The project's main homepage.
url = 'https://github.com/Neurosim-lab/netpyne',

#Author detials
author = 'Salvador Dura-Bernal (Neurosim lab)',
author_email = '[email protected]',

#Choose license
license = 'MIT',

# 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 :: 2 - Pre-Alpha',

# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Visualization',

# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: MIT License',

# 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',
],

# What does project relate to?
keywords = ['neuron','network','developing','framework','biological', 'simulation'],

# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages = find_packages(exclude=['saveLoadV1']),

#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/requirements.html
install_requires=[],

# 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={},

# 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={},

# 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 # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
data_files=[],

# 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={},


)





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