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@@ -0,0 +1 @@ +/H_MCRLLM-0.0.24.tar.gz diff --git a/python-h-mcrllm.spec b/python-h-mcrllm.spec new file mode 100644 index 0000000..3eff27e --- /dev/null +++ b/python-h-mcrllm.spec @@ -0,0 +1,114 @@ +%global _empty_manifest_terminate_build 0 +Name: python-H-MCRLLM +Version: 0.0.24 +Release: 1 +Summary: H MCRLLM: Hierarchical Multivariate Curve Resolution by Log-Likelihood Maximization +License: MIT License +URL: https://pypi.org/project/H-MCRLLM/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/86/7a/4b013e02261bf14f2a137fe14c4101efc4ac6245cf2d90146f56bac96a5d/H_MCRLLM-0.0.24.tar.gz +BuildArch: noarch + + +%description +H MCRLLM: Hierarchical Multivariate Curve Resolution by Log-Likelihood Maximization + +X = CS +where +X(nxk): Spectroscopic data where n spectra acquired over k energy levels +C(nxa): Composition map based on a MCRLLM components +S(axk): Spectra of the a components as computed by MCRLLM + +# Method first presented in +Lavoie F.B., Braidy N. and Gosselin R. (2016) Including Noise Characteristics in MCR to improve Mapping and Component Extraction from Spectral Images, Chemometrics and Intelligent Laboratory Systems, 153, 40-50. + +# Dataset +XPS dataset of Titanium, Vanadium and Chromium. Please refer to Lavoie et al. (2016) for further details on the sample. + + + +%package -n python3-H-MCRLLM +Summary: H MCRLLM: Hierarchical Multivariate Curve Resolution by Log-Likelihood Maximization +Provides: python-H-MCRLLM +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-H-MCRLLM +H MCRLLM: Hierarchical Multivariate Curve Resolution by Log-Likelihood Maximization + +X = CS +where +X(nxk): Spectroscopic data where n spectra acquired over k energy levels +C(nxa): Composition map based on a MCRLLM components +S(axk): Spectra of the a components as computed by MCRLLM + +# Method first presented in +Lavoie F.B., Braidy N. and Gosselin R. (2016) Including Noise Characteristics in MCR to improve Mapping and Component Extraction from Spectral Images, Chemometrics and Intelligent Laboratory Systems, 153, 40-50. + +# Dataset +XPS dataset of Titanium, Vanadium and Chromium. Please refer to Lavoie et al. (2016) for further details on the sample. + + + +%package help +Summary: Development documents and examples for H-MCRLLM +Provides: python3-H-MCRLLM-doc +%description help +H MCRLLM: Hierarchical Multivariate Curve Resolution by Log-Likelihood Maximization + +X = CS +where +X(nxk): Spectroscopic data where n spectra acquired over k energy levels +C(nxa): Composition map based on a MCRLLM components +S(axk): Spectra of the a components as computed by MCRLLM + +# Method first presented in +Lavoie F.B., Braidy N. and Gosselin R. (2016) Including Noise Characteristics in MCR to improve Mapping and Component Extraction from Spectral Images, Chemometrics and Intelligent Laboratory Systems, 153, 40-50. + +# Dataset +XPS dataset of Titanium, Vanadium and Chromium. Please refer to Lavoie et al. (2016) for further details on the sample. + + + +%prep +%autosetup -n H-MCRLLM-0.0.24 + +%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-H-MCRLLM -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.24-1 +- Package Spec generated @@ -0,0 +1 @@ +5c05f379d9ab98b4863bb8007c10c8d3 H_MCRLLM-0.0.24.tar.gz |