from setuptools import setup import setuptools.command.build_py def readme(): with open('README.rst') as f: return f.read() class BuildTestCommand(setuptools.command.build_py.build_py): """Custom build command.""" def run(self): # run tests using doctest import doctest # noise folder from ipfml.filters import noise as noise_filters # iqa folder from ipfml.iqa import fr as fr_iqa # metrics folder from ipfml import metrics # processing folder from ipfml.processing import compression as compression_processing from ipfml.processing import movement as movement_processing from ipfml.processing import reconstruction as reconstruction_processing from ipfml.processing import segmentation as segmentation_processing from ipfml.processing import transform as transform_processing # utils from ipfml import utils print("==============================") print("Runs test command...") # noise folder doctest.testmod(noise_filters) # iqa folder doctest.testmod(fr_iqa) # metrics folder doctest.testmod(metrics) # processing folder doctest.testmod(compression_processing) doctest.testmod(movement_processing) doctest.testmod(reconstruction_processing) doctest.testmod(segmentation_processing) doctest.testmod(transform_processing) # utils doctest.testmod(utils) setuptools.command.build_py.build_py.run(self) setup( name='ipfml', version='0.4.1', description='Image Processing For Machine Learning', long_description=readme(), classifiers=[ 'Development Status :: 4 - Beta', 'License :: OSI Approved :: MIT License', 'Programming Language :: Python :: 3.6', 'Topic :: Scientific/Engineering :: Artificial Intelligence' ], url='https://github.com/prise-3d/ipfml', author='Jérôme BUISINE', author_email='jerome.buisine@univ-littoral.fr', license='MIT', packages=['ipfml', 'ipfml/filters', 'ipfml/iqa', 'ipfml/processing'], install_requires=[ 'numpy', 'Pillow', 'sklearn', 'scikit-image', 'scipy', 'opencv-python', 'scipy', ], cmdclass={ 'build_py': BuildTestCommand, }, zip_safe=False)