Merge pull request #111 from OneraHub/master

Pypi packaging

.coveragerc

@@ -0,0 +1,13 @@
+[paths]
+source = 
+   smt
+
+[html]
+directory = coverage_html_report
+
+[run]
+omit =
+	*/tests/*
+	*/examples/*
+	*/__init__.py
+	*/setup.py

.gitignore

@@ -15,3 +15,6 @@ smt/src/rmts/rmtsclib.cpp
 .project
 .pydevproject
 .settings/
+/.coverage
+/coverage_html_report
+/dist

setup.cfg

@@ -1,2 +1,4 @@
 [metadata]
 description-file = README.md
+license_file = LICENSE.txt
+

setup.py

@@ -1,6 +1,7 @@
 '''
 Author: Dr. John T. Hwang <[email protected]>
-        Dr. Mohamed A. Bouhlel <mbouhlel@umich>
+        Dr. Mohamed A. Bouhlel <[email protected]>
+        Remi Lafage <[email protected]>
 
 This package is distributed under New BSD license.
 '''
@@ -11,6 +12,37 @@
 from subprocess import call
 import numpy as np
 
+CLASSIFIERS = """\
+Development Status :: 5 - Production/Stable
+Intended Audience :: Science/Research
+Intended Audience :: Developers
+License :: OSI Approved :: BSD License
+Programming Language :: C++
+Programming Language :: Python
+Programming Language :: Python :: 2.7
+Programming Language :: Python :: 3.6
+Programming Language :: Python :: Implementation :: CPython
+Topic :: Software Development
+Topic :: Scientific/Engineering
+Operating System :: Microsoft :: Windows
+Operating System :: Unix
+Operating System :: MacOS
+"""
+
+LONG_DESCRIPTION= """
+The surrogate modeling toolbox (SMT) is a Python package that contains 
+a collection of surrogate modeling methods, sampling techniques, and 
+benchmarking functions. This package provides a library of surrogate 
+models that is simple to use and facilitates the implementation of additional methods. 
+
+SMT is different from existing surrogate modeling libraries because of 
+its emphasis on derivatives, including training derivatives used for 
+gradient-enhanced modeling, prediction derivatives, and derivatives 
+with respect to the training data. It also includes new surrogate models 
+that are not available elsewhere: kriging by partial-least squares reduction 
+and energy-minimizing spline interpolation.
+"""
+
 try:
     import Cython
 except ImportError:
@@ -52,12 +84,16 @@
     include_dirs=[np.get_include(),
 ]))
 
-setup(name='smt',
-    version='0.2',
+
+metadata = dict(
+    name='smt',
+    version='0.2.1',
     description='The Surrogate Modeling Toolbox (SMT)',
-    author='Mohamed Amine Bouhlel',
+    long_description=LONG_DESCRIPTION,
+    author='Mohamed Amine Bouhlel et al.',
     author_email='[email protected]',
     license='BSD-3',
+    classifiers=[_f for _f in CLASSIFIERS.split('\n') if _f],
     packages=[
         'smt',
         'smt/surrogate_models',
@@ -73,8 +109,11 @@
         'six>=1.10',
         'scipy'
     ],
+    python_requires='>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*',
     zip_safe=False,
     ext_modules=ext,
     url = 'https://github.com/SMTorg/smt', # use the URL to the github repo
-    download_url = 'https://github.com/SMTorg/smt/archive/v0.2.tar.gz',
+    download_url = 'https://github.com/SMTorg/smt/releases',
 )
+
+setup(**metadata)