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| 1 | +"""This file contains the fiscalsim-us package's metadata and dependencies.""" |
| 2 | + |
| 3 | +from setuptools import find_packages, setup |
| 4 | + |
| 5 | +with open("README.md", "r") as readme_file: |
| 6 | + readme = readme_file.read() |
| 7 | + |
| 8 | +setup( |
| 9 | + name="UN-OG-Training", |
| 10 | + version="0.0.0", |
| 11 | + author="Jason DeBacker and Richard W. Evans", |
| 12 | + author_email="rickecon@gmail.com", |
| 13 | + long_description=readme, |
| 14 | + long_description_content_type="text/markdown", |
| 15 | + classifiers=[ |
| 16 | + "Development Status :: 5 - Production/Stable", |
| 17 | + "License :: OSI Approved :: GNU Affero General Public License v3", |
| 18 | + "Operating System :: POSIX", |
| 19 | + "Programming Language :: Python", |
| 20 | + "Programming Language :: Python :: 3.9", |
| 21 | + "Topic :: Scientific/Engineering :: Information Analysis", |
| 22 | + ], |
| 23 | + description="UN open source OG-Core overlapping generations macroeconomic model training", |
| 24 | + keywords="tax benefit macroeconomic dynamic general equilibrium fiscal", |
| 25 | + license="http://www.fsf.org/licensing/licenses/agpl-3.0.html", |
| 26 | + url="https://github.com/OpenRG/UN-OG-Training", |
| 27 | + include_package_data=True, # Will read MANIFEST.in |
| 28 | + install_requires=[ |
| 29 | + "numpy", |
| 30 | + "scipy", |
| 31 | + "pandas", |
| 32 | + "ipython", |
| 33 | + "matplotlib", |
| 34 | + "bokeh", |
| 35 | + "sphinx", |
| 36 | + "sphinx-argparse", |
| 37 | + "sphinx-exercise", |
| 38 | + "sphinxcontrib-bibtex>=2.0.0", |
| 39 | + "sphinx-math-dollar", |
| 40 | + "pydata-sphinx-theme", |
| 41 | + "jupyter-book>=0.11.3", |
| 42 | + "jupyter", |
| 43 | + "black", |
| 44 | + "setuptools", |
| 45 | + "pytest", |
| 46 | + "coverage", |
| 47 | + "ogcore", |
| 48 | + "linecheck", |
| 49 | + "yaml-changelog", |
| 50 | + ], |
| 51 | + # Windows CI requires Python 3.9. |
| 52 | + python_requires=">=3.10", |
| 53 | + tests_require=["pytest"], |
| 54 | + packages=find_packages(), |
| 55 | +) |
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