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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Note: To use the 'upload' functionality of this file, you must:
# $ pip install twine
from __future__ import print_function
import io
import os
import sys
from shutil import rmtree
import argparse
from setuptools import find_packages, setup, Command
# parser = argparse.ArgumentParser()
# parser.add_argument('--parallel', help='Install packages required'
# 'by Parallel-mode.',
# action='store_true', default=False)
# args = parser.parse_args()
# Package meta-data.
NAME = 'parameter-sherpa'
DESCRIPTION = 'Hyperparameter Optimization for Machine Learning Models.'
URL = 'https://github.com/sherpa-ai/sherpa'
EMAIL = '[email protected]'
AUTHOR = 'Lars Hertel, Peter Sadowski, and Julian Collado'
REQUIRED = [
'pandas>=0.20.3',
'pymongo>=3.5.1',
'numpy>=1.8.2',
'scipy>=1.0.0,<=1.4.1',
'scikit-learn>=0.19.1',
'flask>=0.12.2',
'GPyOpt>=1.2.5',
'matplotlib'
]
if sys.version_info < (3, 4):
REQUIRED += ['enum34']
# if args.parallel:
# PARALLEL = ['pymongo>=3.5.1', 'drmaa>=0.7.7']
# REQUIRED += PARALLEL
# print("DRMAA path needs to be set e.g.:"
# "export DRMAA_LIBRARY_PATH=/usr/lib/libdrmaa.so.1.0\n"
# "See https://pypi.python.org/pypi/drmaa for details.")
here = os.path.abspath(os.path.dirname(__file__))
# Import the README and use it as the long-description.
# Note: this will only work if 'README.rst' is present in your MANIFEST.in file!
with io.open(os.path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = '\n' + f.read()
class UploadCommand(Command):
"""Support setup.py upload."""
description = 'Build and publish the package.'
user_options = []
@staticmethod
def status(s):
"""Prints things in bold."""
print('\033[1m{0}\033[0m'.format(s))
def initialize_options(self):
pass
def finalize_options(self):
pass
def run(self):
try:
self.status('Removing previous builds…')
rmtree(os.path.join(here, 'dist'))
except OSError:
pass
self.status('Building Source and Wheel (universal) distribution…')
os.system('{0} setup.py sdist bdist_wheel --universal'.format(sys.executable))
self.status('Uploading the package to PyPi via Twine…')
os.system('twine upload dist/*')
sys.exit()
# Where the magic happens:
setup(
name=NAME,
version='1.0.6',
description=DESCRIPTION,
long_description='',
author=AUTHOR,
author_email=EMAIL,
url=URL,
packages=find_packages(),
install_requires=REQUIRED,
include_package_data=True,
license='GPLv3',
classifiers=[
# Trove classifiers
# Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers
'Development Status :: 3 - Alpha',
'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
'Programming Language :: Python',
'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',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: Implementation :: CPython',
'Programming Language :: Python :: Implementation :: PyPy'
],
# $ setup.py publish support.
keywords='hyperparameter optimization machine-learning',
cmdclass={
'upload': UploadCommand,
},
)