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setup.py
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43 lines (42 loc) · 1.49 KB
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from setuptools import setup, find_packages
setup(
name="cosmos-odor",
version="1.0.1",
description="A Data-Driven Probabilistic Time Series Simulator for Chemical Plumes",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
author="Aruna Nag",
author_email="arunavanag591@github.com",
url="https://github.com/arunavanag591/COSMOS",
packages=find_packages(),
package_data={
'cosmos': ['data/**/*'],
},
include_package_data=True,
install_requires=[
"numpy>=1.20.0",
"pandas>=1.3.0",
"scipy>=1.7.0",
"numba>=0.56.0",
"h5py>=3.0.0",
],
extras_require={
'visualization': ['matplotlib>=3.5.0'],
'dev': ['pytest>=6.0', 'black', 'flake8'],
},
python_requires=">=3.8",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Physics",
"License :: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
],
license="CC0-1.0",
keywords="odor simulation chemical plumes environmental monitoring agent-based modeling",
)