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%global _empty_manifest_terminate_build 0
Name: python-mud
Version: 0.1
Release: 1
Summary: Maximal Updated Density equations for Data-Consistent Inversion
License: mit
URL: https://github.com/mathematicalmichael/mud.git
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a5/02/c869b93a0581a74c87f852618c62adb2242bc8a7925d303d470a15d1d924/mud-0.1.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-scipy
Requires: python3-matplotlib
Requires: python3-sklearn
Requires: python3-importlib-metadata
Requires: python3-black[jupyter]
Requires: python3-coverage
Requires: python3-coveralls
Requires: python3-flake8
Requires: python3-isort
Requires: python3-mypy
Requires: python3-pre-commit
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-click
Requires: python3-tqdm
Requires: python3-prettytable
Requires: python3-pandas
Requires: python3-wget
Requires: python3-setuptools
Requires: python3-setuptools-scm
Requires: python3-wheel
Requires: python3-twine
%description
Maximal Updated Density Points are the values which maximize an updated density, analogous to how a MAP (Maximum A-Posteriori) point maximizes a posterior density from Bayesian inversion.
Updated densities differ from posteriors in that they are the solution to a different problem which seeks to match the push-forward of the updated density to a specified observed distribution.
%package -n python3-mud
Summary: Maximal Updated Density equations for Data-Consistent Inversion
Provides: python-mud
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-mud
Maximal Updated Density Points are the values which maximize an updated density, analogous to how a MAP (Maximum A-Posteriori) point maximizes a posterior density from Bayesian inversion.
Updated densities differ from posteriors in that they are the solution to a different problem which seeks to match the push-forward of the updated density to a specified observed distribution.
%package help
Summary: Development documents and examples for mud
Provides: python3-mud-doc
%description help
Maximal Updated Density Points are the values which maximize an updated density, analogous to how a MAP (Maximum A-Posteriori) point maximizes a posterior density from Bayesian inversion.
Updated densities differ from posteriors in that they are the solution to a different problem which seeks to match the push-forward of the updated density to a specified observed distribution.
%prep
%autosetup -n mud-0.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-mud -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1-1
- Package Spec generated
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