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%global _empty_manifest_terminate_build 0
Name: python-FitBenchmarking
Version: 0.2.0
Release: 1
Summary: FitBenchmarking: A tool for comparing fitting software
License: BSD
URL: http://fitbenchmarking.com
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/4b/71/c1948ef1215448b848a4a1131c22b46cacfae9f3a265ae205f4cd41d2571/FitBenchmarking-0.2.0.tar.gz
BuildArch: noarch
Requires: python3-docutils
Requires: python3-numpy
Requires: python3-matplotlib
Requires: python3-scipy
Requires: python3-lxml
Requires: python3-pandas
Requires: python3-jinja2
Requires: python3-configparser
Requires: python3-DFO-LS
Requires: python3-dfogn
Requires: python3-sasmodels
Requires: python3-tinycc
Requires: python3-bumps
Requires: python3-gradient-free-optimizers
Requires: python3-levmar
Requires: python3-h5py
Requires: python3-pyyaml
Requires: python3-dill
Requires: python3-iminuit
Requires: python3-numdifftools
%description
[](https://github.com/fitbenchmarking/fitbenchmarking/actions/workflows/release.yml?query=branch%3Av0.2.0)
[](https://github.com/fitbenchmarking/fitbenchmarking/actions/workflows/main.yml?query=branch%3Av0.2.0)
[](https://fitbenchmarking.readthedocs.io/en/v0.2.0)
[](https://coveralls.io/github/fitbenchmarking/fitbenchmarking)
[](https://slack.com/)
# FitBenchmarking
FitBenchmarking is an open source tool for comparing different minimizers/fitting frameworks. FitBenchmarking is cross platform and we support Windows, Linux and Mac OS. For questions, feature requests or any other inquiries, please open an issue on GitHub, or send us an e-mail at support@fitbenchmarking.com.
- **Installation Instructions:** https://fitbenchmarking.readthedocs.io/en/v0.2.0/users/install_instructions/index.html
- **User Documentation & Example Usage:** https://fitbenchmarking.readthedocs.io/en/v0.2.0/users/index.html
- **Community Guidelines:** https://fitbenchmarking.readthedocs.io/en/v0.2.0/contributors/guidelines.html
- **Automated Tests:** Run via GitHub Actions, https://github.com/fitbenchmarking/fitbenchmarking/actions, and tests are documented at https://fitbenchmarking.readthedocs.io/en/v0.2.0/users/tests.html
The package is the result of a collaboration between STFC’s Scientific Computing Department and ISIS Neutron and Muon Facility and the Diamond Light Source. We also would like to acknowledge support from:
* EU SINE2020 WP-10, which received funding from the European Union’s Horizon2020 research and innovation programme under grant agreement No 654000.
* EPSRC Grant EP/M025179/1 Least Squares: Fit for the Future.
* The Ada Lovelace Centre (ALC). ALC is an integrated, cross-disciplinary data intensive science centre, for better exploitation of research carried out at our large scale National Facilities including the Diamond Light Source (DLS), the ISIS Neutron and Muon Facility, the Central Laser Facility (CLF) and the Culham Centre for Fusion Energy (CCFE).
%package -n python3-FitBenchmarking
Summary: FitBenchmarking: A tool for comparing fitting software
Provides: python-FitBenchmarking
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-FitBenchmarking
[](https://github.com/fitbenchmarking/fitbenchmarking/actions/workflows/release.yml?query=branch%3Av0.2.0)
[](https://github.com/fitbenchmarking/fitbenchmarking/actions/workflows/main.yml?query=branch%3Av0.2.0)
[](https://fitbenchmarking.readthedocs.io/en/v0.2.0)
[](https://coveralls.io/github/fitbenchmarking/fitbenchmarking)
[](https://slack.com/)
# FitBenchmarking
FitBenchmarking is an open source tool for comparing different minimizers/fitting frameworks. FitBenchmarking is cross platform and we support Windows, Linux and Mac OS. For questions, feature requests or any other inquiries, please open an issue on GitHub, or send us an e-mail at support@fitbenchmarking.com.
- **Installation Instructions:** https://fitbenchmarking.readthedocs.io/en/v0.2.0/users/install_instructions/index.html
- **User Documentation & Example Usage:** https://fitbenchmarking.readthedocs.io/en/v0.2.0/users/index.html
- **Community Guidelines:** https://fitbenchmarking.readthedocs.io/en/v0.2.0/contributors/guidelines.html
- **Automated Tests:** Run via GitHub Actions, https://github.com/fitbenchmarking/fitbenchmarking/actions, and tests are documented at https://fitbenchmarking.readthedocs.io/en/v0.2.0/users/tests.html
The package is the result of a collaboration between STFC’s Scientific Computing Department and ISIS Neutron and Muon Facility and the Diamond Light Source. We also would like to acknowledge support from:
* EU SINE2020 WP-10, which received funding from the European Union’s Horizon2020 research and innovation programme under grant agreement No 654000.
* EPSRC Grant EP/M025179/1 Least Squares: Fit for the Future.
* The Ada Lovelace Centre (ALC). ALC is an integrated, cross-disciplinary data intensive science centre, for better exploitation of research carried out at our large scale National Facilities including the Diamond Light Source (DLS), the ISIS Neutron and Muon Facility, the Central Laser Facility (CLF) and the Culham Centre for Fusion Energy (CCFE).
%package help
Summary: Development documents and examples for FitBenchmarking
Provides: python3-FitBenchmarking-doc
%description help
[](https://github.com/fitbenchmarking/fitbenchmarking/actions/workflows/release.yml?query=branch%3Av0.2.0)
[](https://github.com/fitbenchmarking/fitbenchmarking/actions/workflows/main.yml?query=branch%3Av0.2.0)
[](https://fitbenchmarking.readthedocs.io/en/v0.2.0)
[](https://coveralls.io/github/fitbenchmarking/fitbenchmarking)
[](https://slack.com/)
# FitBenchmarking
FitBenchmarking is an open source tool for comparing different minimizers/fitting frameworks. FitBenchmarking is cross platform and we support Windows, Linux and Mac OS. For questions, feature requests or any other inquiries, please open an issue on GitHub, or send us an e-mail at support@fitbenchmarking.com.
- **Installation Instructions:** https://fitbenchmarking.readthedocs.io/en/v0.2.0/users/install_instructions/index.html
- **User Documentation & Example Usage:** https://fitbenchmarking.readthedocs.io/en/v0.2.0/users/index.html
- **Community Guidelines:** https://fitbenchmarking.readthedocs.io/en/v0.2.0/contributors/guidelines.html
- **Automated Tests:** Run via GitHub Actions, https://github.com/fitbenchmarking/fitbenchmarking/actions, and tests are documented at https://fitbenchmarking.readthedocs.io/en/v0.2.0/users/tests.html
The package is the result of a collaboration between STFC’s Scientific Computing Department and ISIS Neutron and Muon Facility and the Diamond Light Source. We also would like to acknowledge support from:
* EU SINE2020 WP-10, which received funding from the European Union’s Horizon2020 research and innovation programme under grant agreement No 654000.
* EPSRC Grant EP/M025179/1 Least Squares: Fit for the Future.
* The Ada Lovelace Centre (ALC). ALC is an integrated, cross-disciplinary data intensive science centre, for better exploitation of research carried out at our large scale National Facilities including the Diamond Light Source (DLS), the ISIS Neutron and Muon Facility, the Central Laser Facility (CLF) and the Culham Centre for Fusion Energy (CCFE).
%prep
%autosetup -n FitBenchmarking-0.2.0
%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-FitBenchmarking -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.0-1
- Package Spec generated
|
