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setup.py
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setup.py
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from setuptools import setup, find_packages
from numpy.distutils.core import setup, Extension
from os import path
import os
import subprocess
import io
## in development set version
PYPI_VERSION = '0.4.8'
# Return the git revision as a string (from numpy)
def git_version():
def _minimal_ext_cmd(cmd):
# construct minimal environment
env = {}
for k in ['SYSTEMROOT', 'PATH']:
v = os.environ.get(k)
if v is not None:
env[k] = v
# LANGUAGE is used on win32
env['LANGUAGE'] = 'C'
env['LANG'] = 'C'
env['LC_ALL'] = 'C'
out = subprocess.Popen(cmd, stdout = subprocess.PIPE, env=env).communicate()[0]
return out
try:
out = _minimal_ext_cmd(['git', 'rev-parse', '--short', 'HEAD'])
GIT_REVISION = out.strip().decode('ascii')
except OSError:
GIT_REVISION = "Unknown"
return GIT_REVISION
if PYPI_VERSION is None:
PYPI_VERSION = git_version()
this_directory = path.abspath(path.dirname(__file__))
with io.open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
packages = find_packages()
if __name__ == "__main__":
setup(name = 'DoEgen',
author = "Sebastian Haan",
author_email = "sebastian.haan@sydney.edu.au",
url = "https://github.com/sebhaan/DoEgen",
version = PYPI_VERSION,
description = "DoEgen: A Python Library for Optimised Design of Experiment Generation and Evaluation",
long_description = long_description,
long_description_content_type='text/markdown',
install_requires = ['numpy>=1.16.3',
'xlrd==1.2.0',
'pandas>=1.0.3',
'XlsxWriter>=1.2.8',
'openpyxl>=3.0.7',
'seaborn>=0.11.1',
'OApackage==2.6.6',
'tabulate==0.8.7',
'matplotlib>=3.1.0',
'PyYAML>=5.3.1',
'scikit_learn>=0.22.2.post1'],
python_requires = '>=3.6',
setup_requires = ["pytest-runner", 'webdav'],
tests_require = ["pytest", 'webdav'],
packages = ['doegen'],
package_data = {'doegen': ['*.yaml',
'*.xlsx',
'test/Experiment_setup_test.xlsx',
'test/settings_design_test.yaml',
'test/settings_expresults_test.yaml',
'test/results/experiment_results_Nrun72.xlsx',
'test/results/Designtable_optimal_Nrun72.csv']},
include_package_data = False,
classifiers = ['Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7'
]
)