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setup.py
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"""Setup file for GewitterGefahr."""
from setuptools import setup
PACKAGE_NAMES = [
'gewittergefahr', 'gewittergefahr.gg_io', 'gewittergefahr.gg_utils',
'gewittergefahr.deep_learning', 'gewittergefahr.plotting',
'gewittergefahr.scripts', 'gewittergefahr.feature_selection_example',
'gewittergefahr.nature2019'
]
KEYWORDS = [
'machine learning', 'deep learning', 'artificial intelligence',
'data mining', 'weather', 'meteorology', 'thunderstorm', 'wind', 'tornado'
]
SHORT_DESCRIPTION = (
'End-to-end machine-learning library for predicting thunderstorm hazards.')
LONG_DESCRIPTION = (
'GewitterGefahr is an end-to-end machine-learning library for predicting '
'thunderstorm hazards, primarily tornadoes and damaging straight-line wind.'
)
CLASSIFIERS = [
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3'
]
# You also need to install the following packages, which are not available in
# pip. They can both be installed by "git clone" and "python setup.py install",
# the normal way one installs a GitHub package.
#
# https://github.com/matplotlib/basemap
# https://github.com/sharppy/SHARPpy
# https://github.com/tkrajina/srtm.py
PACKAGE_REQUIREMENTS = [
'numpy',
'scipy',
'roipoly',
'tensorflow',
'keras',
'scikit-learn',
'scikit-image',
'netCDF4',
'pyproj',
'opencv-python',
'matplotlib',
'pandas',
'shapely',
'descartes',
'geopy',
'metpy',
# 'basemap',
# 'python-srtm'
]
if __name__ == '__main__':
setup(name='GewitterGefahr',
version='0.1',
description=SHORT_DESCRIPTION,
long_description=LONG_DESCRIPTION,
license='MIT',
author='Ryan Lagerquist',
author_email='[email protected]',
url='https://github.com/thunderhoser/GewitterGefahr',
packages=PACKAGE_NAMES,
scripts=[],
keywords=KEYWORDS,
classifiers=CLASSIFIERS,
include_package_data=True,
zip_safe=False,
install_requires=PACKAGE_REQUIREMENTS)