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+%global _empty_manifest_terminate_build 0
+Name:		python-fastlmm
+Version:	0.6.5
+Release:	1
+Summary:	Fast GWAS
+License:	Apache 2.0
+URL:		https://fastlmm.github.io/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/80/42/5a96824c1175f63eddc2b8651ec362992002d0aaf2e72038981421b7309a/fastlmm-0.6.5.tar.gz
+BuildArch:	noarch
+
+
+%description
+FaST-LMM, which stands for Factored Spectrally Transformed Linear Mixed Models, is a program for performing 
+genome-wide association studies (GWAS) on datasets of all sizes, up to one millions samples.
+This release contains the following features, each illustrated with an IPython notebook.
+* Core FaST-LMM ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Nature Methods* 2011](http://www.nature.com/nmeth/journal/v8/n10/abs/nmeth.1681.html)
+Improvements:
+* New features for single_snp (including effect size and multiple phenotype support) and epistasis (including reporting beta and using pre-computed eigenvalue decompositions) ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/fastlmm2021.ipynb))  -- [Lippert *et al.*, *Nature Methods* 2011](http://www.nature.com/nmeth/journal/v8/n10/abs/nmeth.1681.html)
+* Ludicrous-Speed GWAS ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/SingleSnpScale.ipynb)) -- [Kadie and Heckerman, *bioRxiv* 2018](https://www.biorxiv.org/content/10.1101/154682v2)
+* Heritability with Spatial Correction ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/heritability_si.ipynb)), [Heckerman *et al.*, *PNAS* 2016](http://www.pnas.org/content/113/27/7377.abstract)
+* Two Kernels ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Widmer *et al.*, *Scientific Reports* 2014](http://www.nature.com/srep/2014/141112/srep06874/full/srep06874.html)
+* Set Analysis ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Bioinformatics* 2014](http://bioinformatics.oxfordjournals.org/content/early/2014/09/07/bioinformatics.btu504)
+* Epistasis ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Scientific Reports,* 2013](http://www.nature.com/srep/2013/130122/srep01099/full/srep01099.html)
+* Prediction ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Nature Methods* 2011](http://www.nature.com/nmeth/journal/v8/n10/abs/nmeth.1681.html)
+*A C++ version, which is generally less functional, is available. See http://fastlmm.github.io/.*
+
+%package -n python3-fastlmm
+Summary:	Fast GWAS
+Provides:	python-fastlmm
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-fastlmm
+FaST-LMM, which stands for Factored Spectrally Transformed Linear Mixed Models, is a program for performing 
+genome-wide association studies (GWAS) on datasets of all sizes, up to one millions samples.
+This release contains the following features, each illustrated with an IPython notebook.
+* Core FaST-LMM ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Nature Methods* 2011](http://www.nature.com/nmeth/journal/v8/n10/abs/nmeth.1681.html)
+Improvements:
+* New features for single_snp (including effect size and multiple phenotype support) and epistasis (including reporting beta and using pre-computed eigenvalue decompositions) ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/fastlmm2021.ipynb))  -- [Lippert *et al.*, *Nature Methods* 2011](http://www.nature.com/nmeth/journal/v8/n10/abs/nmeth.1681.html)
+* Ludicrous-Speed GWAS ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/SingleSnpScale.ipynb)) -- [Kadie and Heckerman, *bioRxiv* 2018](https://www.biorxiv.org/content/10.1101/154682v2)
+* Heritability with Spatial Correction ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/heritability_si.ipynb)), [Heckerman *et al.*, *PNAS* 2016](http://www.pnas.org/content/113/27/7377.abstract)
+* Two Kernels ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Widmer *et al.*, *Scientific Reports* 2014](http://www.nature.com/srep/2014/141112/srep06874/full/srep06874.html)
+* Set Analysis ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Bioinformatics* 2014](http://bioinformatics.oxfordjournals.org/content/early/2014/09/07/bioinformatics.btu504)
+* Epistasis ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Scientific Reports,* 2013](http://www.nature.com/srep/2013/130122/srep01099/full/srep01099.html)
+* Prediction ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Nature Methods* 2011](http://www.nature.com/nmeth/journal/v8/n10/abs/nmeth.1681.html)
+*A C++ version, which is generally less functional, is available. See http://fastlmm.github.io/.*
+
+%package help
+Summary:	Development documents and examples for fastlmm
+Provides:	python3-fastlmm-doc
+%description help
+FaST-LMM, which stands for Factored Spectrally Transformed Linear Mixed Models, is a program for performing 
+genome-wide association studies (GWAS) on datasets of all sizes, up to one millions samples.
+This release contains the following features, each illustrated with an IPython notebook.
+* Core FaST-LMM ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Nature Methods* 2011](http://www.nature.com/nmeth/journal/v8/n10/abs/nmeth.1681.html)
+Improvements:
+* New features for single_snp (including effect size and multiple phenotype support) and epistasis (including reporting beta and using pre-computed eigenvalue decompositions) ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/fastlmm2021.ipynb))  -- [Lippert *et al.*, *Nature Methods* 2011](http://www.nature.com/nmeth/journal/v8/n10/abs/nmeth.1681.html)
+* Ludicrous-Speed GWAS ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/SingleSnpScale.ipynb)) -- [Kadie and Heckerman, *bioRxiv* 2018](https://www.biorxiv.org/content/10.1101/154682v2)
+* Heritability with Spatial Correction ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/heritability_si.ipynb)), [Heckerman *et al.*, *PNAS* 2016](http://www.pnas.org/content/113/27/7377.abstract)
+* Two Kernels ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Widmer *et al.*, *Scientific Reports* 2014](http://www.nature.com/srep/2014/141112/srep06874/full/srep06874.html)
+* Set Analysis ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Bioinformatics* 2014](http://bioinformatics.oxfordjournals.org/content/early/2014/09/07/bioinformatics.btu504)
+* Epistasis ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Scientific Reports,* 2013](http://www.nature.com/srep/2013/130122/srep01099/full/srep01099.html)
+* Prediction ([notebook](https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/FaST-LMM.ipynb)) -- [Lippert *et al.*, *Nature Methods* 2011](http://www.nature.com/nmeth/journal/v8/n10/abs/nmeth.1681.html)
+*A C++ version, which is generally less functional, is available. See http://fastlmm.github.io/.*
+
+%prep
+%autosetup -n fastlmm-0.6.5
+
+%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-fastlmm -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.5-1
+- Package Spec generated