From e0a248b0525371c28f665e8323846e8488519f4e Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Mon, 10 Apr 2023 17:56:08 +0000
Subject: automatic import of python-distance

---
 .gitignore           |  1 +
 python-distance.spec | 72 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 sources              |  1 +
 3 files changed, 74 insertions(+)
 create mode 100644 python-distance.spec
 create mode 100644 sources

diff --git a/.gitignore b/.gitignore
index e69de29..b89aeaf 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/Distance-0.1.3.tar.gz
diff --git a/python-distance.spec b/python-distance.spec
new file mode 100644
index 0000000..3601ca9
--- /dev/null
+++ b/python-distance.spec
@@ -0,0 +1,72 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-Distance
+Version:	0.1.3
+Release:	1
+Summary:	Utilities for comparing sequences
+License:	UNKNOWN
+URL:		https://github.com/doukremt/distance
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/5c/1a/883e47df323437aefa0d0a92ccfb38895d9416bd0b56262c2e46a47767b8/Distance-0.1.3.tar.gz
+BuildArch:	noarch
+
+
+%description
+This package provides helpers for computing similarities between arbitrary sequences. Included metrics are Levenshtein, Hamming, Jaccard, and Sorensen distance, plus some bonuses. All distance computations are implemented in pure Python, and most of them are also implemented in C.
+
+%package -n python3-Distance
+Summary:	Utilities for comparing sequences
+Provides:	python-Distance
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-Distance
+This package provides helpers for computing similarities between arbitrary sequences. Included metrics are Levenshtein, Hamming, Jaccard, and Sorensen distance, plus some bonuses. All distance computations are implemented in pure Python, and most of them are also implemented in C.
+
+%package help
+Summary:	Development documents and examples for Distance
+Provides:	python3-Distance-doc
+%description help
+This package provides helpers for computing similarities between arbitrary sequences. Included metrics are Levenshtein, Hamming, Jaccard, and Sorensen distance, plus some bonuses. All distance computations are implemented in pure Python, and most of them are also implemented in C.
+
+%prep
+%autosetup -n Distance-0.1.3
+
+%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-Distance -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.3-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..3dd7bf3
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+23d82d30517c22f0992e62099e4d3f00  Distance-0.1.3.tar.gz
-- 
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