Initial commit: v0.1.0

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hoellinger 2025-01-10 17:03:16 +01:00
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#!/usr/bin/env python3
# ----------------------------------------------------------------------
# Copyright (C) 2024 Tristan Hoellinger
# Distributed under the GNU General Public License v3.0 (GPLv3).
# See the LICENSE file in the root directory for details.
# SPDX-License-Identifier: GPL-3.0-or-later
# ----------------------------------------------------------------------
__author__ = "Tristan Hoellinger"
__version__ = "0.1.0"
__date__ = "2024"
__license__ = "GPLv3"
"""
Setup script for the SelfiSys package.
SelfiSys enables thorough diagnosis of systematic effects in
field-based, implicit likelihood inference (ILI) of cosmological
parameters from large-scale spectroscopic galaxy surveys.
"""
from setuptools import setup, find_packages
import os
# Read the long description from README.md
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, "../README.md"), encoding="utf-8") as f:
long_description = f.read()
setup(
name="selfisys",
version="0.1.0",
author="Tristan Hoellinger",
author_email="tristan.hoellinger@iap.fr",
description="Diagnosing systematic effects in implicit likelihood cosmological inferences.",
long_description=long_description,
long_description_content_type="text/markdown",
packages=find_packages(),
include_package_data=True,
url="https://github.com/hoellin/selfisys_public",
package_data={"selfisys": ["preamble.tex"]},
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Astronomy",
],
python_requires=">=3.7",
license="GPLv3",
keywords="cosmology systematic-effects large-scale-structure systematics implicit-likelihood-inference misspecification robust-inference galaxy-surveys",
)