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setup.py
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setup.py
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# Copyright (c) 2019-2022, RTE (https://www.rte-france.com)
# See AUTHORS.txt
# This Source Code Form is subject to the terms of the Mozilla Public License, version 2.0.
# If a copy of the Mozilla Public License, version 2.0 was not distributed with this file,
# you can obtain one at http://mozilla.org/MPL/2.0/.
# SPDX-License-Identifier: MPL-2.0
# This file is part of Chronix2Grid, A python package to generate "en-masse" chronics for loads and productions (thermal, renewable)
import os
from setuptools import setup, find_packages
this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(name='Chronix2Grid',
version='1.1.0.post1',
description='A python package to generate "en-masse" chronics for loads and productions (thermal, renewable)',
long_description=long_description,
long_description_content_type='text/markdown',
classifiers=[
'Development Status :: 4 - Beta',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
"License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Natural Language :: English"
],
keywords='ML powergrid optmization RL power-systems chronics generation production load network',
author='Mario Jothy, Nicolas Megel, Vincent Renault, Benjamin Donnot',
author_email='[email protected]',
url="https://github.com/BDonnot/ChroniX2Grid",
license='Mozilla Public License 2.0 (MPL 2.0)',
packages=find_packages(),
include_package_data=True,
platforms=["Windows", "Linux", "Mac OS-X", "Unix"],
install_requires=[
"click>=7.1.1",
"cufflinks>=0.17.3",
"decorator>=4.4.2",
"folium>=0.10.1",
"Grid2Op>=1.5.2",
"ipython-genutils>=0.2.0",
"ipywidgets>=7.5.1",
"json5>=0.9.3",
"jupyter>=1.0.0",
"matplotlib>=3.1.3",
"numpy>=1.18.3",
"pandas>=1.0.5",
"pandocfilters>=1.4.2",
"plotly>=4.5.2",
"Pyomo>=5.6.8",
"pytest>=6.2.2",
"pytest-tornasync>=0.6.0.post2",
"python-dateutil>=2.8.1",
"pytz>=2019.3",
"PyUtilib>=5.7.3",
"requests>=2.23.0",
"seaborn>=0.10.0",
"scipy>=1.4.1",
"widgetsnbextension>=3.5.1",
"lightsim2grid",
"pypsa",
"cvxpy"
],
extras_require = {
"optional": [
"ligthsim2grid"
],
"docs": [
"numpydoc>=0.9.2",
"sphinx>=2.4.4",
"sphinx-rtd-theme>=0.4.3",
"sphinxcontrib-trio>=1.1.0",
"autodocsumm>=0.1.13",
"pypsa>=0.17.0"
]
},
zip_safe=False,
package_data={'chronix2grid':['getting_started/example/input/generation/case118_l2rpn_neurips_1x/*',
'getting_started/example/input/generation/patterns/*',
'getting_started/example/input/kpi/case118_l2rpn_neurips_1x/paramsKPI.json',
'getting_started/example/input/kpi/case118_l2rpn_neurips_1x/France/eco2mix/*.csv',
'getting_started/example/input/kpi/case118_l2rpn_neurips_1x/France/renewable_ninja/*.csv']},
entry_points={'console_scripts': ['chronix2grid=chronix2grid.main:generate_mp']}
)