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