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authorCoprDistGit <infra@openeuler.org>2023-04-10 10:39:39 +0000
committerCoprDistGit <infra@openeuler.org>2023-04-10 10:39:39 +0000
commita56640bbc399c83e0f8110e0cb2643d7bee99f99 (patch)
treed0b8f6e78c5570f79923cb2688284670d03c1ba5
parent56d756173d047ca5890a339dec2fd25dad0fb754 (diff)
automatic import of python-category-encoders
-rw-r--r--.gitignore1
-rw-r--r--python-category-encoders.spec93
-rw-r--r--sources1
3 files changed, 95 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
index e69de29..04427fa 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/category_encoders-2.6.0.tar.gz
diff --git a/python-category-encoders.spec b/python-category-encoders.spec
new file mode 100644
index 0000000..d7e12bd
--- /dev/null
+++ b/python-category-encoders.spec
@@ -0,0 +1,93 @@
+%global _empty_manifest_terminate_build 0
+Name: python-category-encoders
+Version: 2.6.0
+Release: 1
+Summary: A collection of sklearn transformers to encode categorical variables as numeric
+License: BSD
+URL: https://github.com/scikit-learn-contrib/category_encoders
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/06/e4/1a8dabdeb9ef909a1fc7bd69a0c1c88bf300ec025339fb8323d5f0c696cf/category_encoders-2.6.0.tar.gz
+BuildArch: noarch
+
+Requires: python3-numpy
+Requires: python3-scikit-learn
+Requires: python3-scipy
+Requires: python3-statsmodels
+Requires: python3-pandas
+Requires: python3-patsy
+
+%description
+[![Downloads](https://pepy.tech/badge/category-encoders)](https://pepy.tech/project/category-encoders)
+[![Downloads](https://pepy.tech/badge/category-encoders/month)](https://pepy.tech/project/category-encoders)
+![Test Suite and Linting](https://github.com/scikit-learn-contrib/category_encoders/workflows/Test%20Suite%20and%20Linting/badge.svg)
+[![DOI](https://zenodo.org/badge/47077067.svg)](https://zenodo.org/badge/latestdoi/47077067)
+A set of scikit-learn-style transformers for encoding categorical
+variables into numeric by means of different techniques.
+
+%package -n python3-category-encoders
+Summary: A collection of sklearn transformers to encode categorical variables as numeric
+Provides: python-category-encoders
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-category-encoders
+[![Downloads](https://pepy.tech/badge/category-encoders)](https://pepy.tech/project/category-encoders)
+[![Downloads](https://pepy.tech/badge/category-encoders/month)](https://pepy.tech/project/category-encoders)
+![Test Suite and Linting](https://github.com/scikit-learn-contrib/category_encoders/workflows/Test%20Suite%20and%20Linting/badge.svg)
+[![DOI](https://zenodo.org/badge/47077067.svg)](https://zenodo.org/badge/latestdoi/47077067)
+A set of scikit-learn-style transformers for encoding categorical
+variables into numeric by means of different techniques.
+
+%package help
+Summary: Development documents and examples for category-encoders
+Provides: python3-category-encoders-doc
+%description help
+[![Downloads](https://pepy.tech/badge/category-encoders)](https://pepy.tech/project/category-encoders)
+[![Downloads](https://pepy.tech/badge/category-encoders/month)](https://pepy.tech/project/category-encoders)
+![Test Suite and Linting](https://github.com/scikit-learn-contrib/category_encoders/workflows/Test%20Suite%20and%20Linting/badge.svg)
+[![DOI](https://zenodo.org/badge/47077067.svg)](https://zenodo.org/badge/latestdoi/47077067)
+A set of scikit-learn-style transformers for encoding categorical
+variables into numeric by means of different techniques.
+
+%prep
+%autosetup -n category-encoders-2.6.0
+
+%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-category-encoders -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.6.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..d029b4d
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+b005870d4a8f9b56061d15a23de8ecb2 category_encoders-2.6.0.tar.gz