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-rw-r--r--.gitignore1
-rw-r--r--python-dimensionalityreduction.spec132
-rw-r--r--sources1
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+/DimensionalityReduction-1.1.4.tar.gz
diff --git a/python-dimensionalityreduction.spec b/python-dimensionalityreduction.spec
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+%global _empty_manifest_terminate_build 0
+Name: python-DimensionalityReduction
+Version: 1.1.4
+Release: 1
+Summary: Dimensionality reduction automatically
+License: MIT
+URL: https://github.com/HindyDS/DimensionalityReduction
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/83/5e/fd78b4cbb71be84d8509a322fd8b59c5fdd643fce42f6bb582f44fa57617/DimensionalityReduction-1.1.4.tar.gz
+BuildArch: noarch
+
+
+%description
+DimensionalityReduction aims to help the users to perfrom a chained dimensionality reduction techniques on a dataset automatically.
+
+This package is inspired by:
+PyData DC 2016 | A Practical Guide to Dimensionality Reduction
+Vishal Patel
+October 8, 2016
+
+Quick Start:
+ !pip install DimensionalityReduction
+
+ from DimensionalityReduction import DimensionalityReduction
+
+ dr = DimensionalityReduction()
+
+ dr.fit(<<dataset>>, <<target_name>>)
+
+ dr.plot()
+
+
+
+
+
+%package -n python3-DimensionalityReduction
+Summary: Dimensionality reduction automatically
+Provides: python-DimensionalityReduction
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-DimensionalityReduction
+DimensionalityReduction aims to help the users to perfrom a chained dimensionality reduction techniques on a dataset automatically.
+
+This package is inspired by:
+PyData DC 2016 | A Practical Guide to Dimensionality Reduction
+Vishal Patel
+October 8, 2016
+
+Quick Start:
+ !pip install DimensionalityReduction
+
+ from DimensionalityReduction import DimensionalityReduction
+
+ dr = DimensionalityReduction()
+
+ dr.fit(<<dataset>>, <<target_name>>)
+
+ dr.plot()
+
+
+
+
+
+%package help
+Summary: Development documents and examples for DimensionalityReduction
+Provides: python3-DimensionalityReduction-doc
+%description help
+DimensionalityReduction aims to help the users to perfrom a chained dimensionality reduction techniques on a dataset automatically.
+
+This package is inspired by:
+PyData DC 2016 | A Practical Guide to Dimensionality Reduction
+Vishal Patel
+October 8, 2016
+
+Quick Start:
+ !pip install DimensionalityReduction
+
+ from DimensionalityReduction import DimensionalityReduction
+
+ dr = DimensionalityReduction()
+
+ dr.fit(<<dataset>>, <<target_name>>)
+
+ dr.plot()
+
+
+
+
+
+%prep
+%autosetup -n DimensionalityReduction-1.1.4
+
+%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-DimensionalityReduction -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..705db3b
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+++ b/sources
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+fcd95155a284c2b710847dd64080daad DimensionalityReduction-1.1.4.tar.gz