From fa69a0300678f79c709bf56e1338b546f2bb3b4a Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Wed, 10 May 2023 07:15:05 +0000
Subject: automatic import of python-saxpy

---
 python-saxpy.spec | 88 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 88 insertions(+)
 create mode 100644 python-saxpy.spec

(limited to 'python-saxpy.spec')

diff --git a/python-saxpy.spec b/python-saxpy.spec
new file mode 100644
index 0000000..7a3350a
--- /dev/null
+++ b/python-saxpy.spec
@@ -0,0 +1,88 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-saxpy
+Version:	1.0.1.dev167
+Release:	1
+Summary:	SAX, HOTSAX, EMMA implementations for Python
+License:	GPL2
+URL:		https://github.com/seninp/saxpy.git
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/c1/06/c912c97c8348ffabf47b7c010f400574ef9fcf38ba33b449437e58b60c48/saxpy-1.0.1.dev167.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-codecov
+Requires:	python3-numpy
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+
+%description
+This code is released under `GPL v.2.0 <https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html>`_ and implements in Python:
+ * Symbolic Aggregate approXimation (i.e., SAX) stack [LIN2002]
+ * a simple function for time series motif discovery [PATEL2001]
+ * HOT-SAX - a time series anomaly (discord) discovery algorithm [KEOGH2005]
+Note that the most of the library's functionality is also available in `R <https://github.com/jMotif/jmotif-R>`__ and `Java <https://github.com/jMotif/SAX>`__
+
+%package -n python3-saxpy
+Summary:	SAX, HOTSAX, EMMA implementations for Python
+Provides:	python-saxpy
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-saxpy
+This code is released under `GPL v.2.0 <https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html>`_ and implements in Python:
+ * Symbolic Aggregate approXimation (i.e., SAX) stack [LIN2002]
+ * a simple function for time series motif discovery [PATEL2001]
+ * HOT-SAX - a time series anomaly (discord) discovery algorithm [KEOGH2005]
+Note that the most of the library's functionality is also available in `R <https://github.com/jMotif/jmotif-R>`__ and `Java <https://github.com/jMotif/SAX>`__
+
+%package help
+Summary:	Development documents and examples for saxpy
+Provides:	python3-saxpy-doc
+%description help
+This code is released under `GPL v.2.0 <https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html>`_ and implements in Python:
+ * Symbolic Aggregate approXimation (i.e., SAX) stack [LIN2002]
+ * a simple function for time series motif discovery [PATEL2001]
+ * HOT-SAX - a time series anomaly (discord) discovery algorithm [KEOGH2005]
+Note that the most of the library's functionality is also available in `R <https://github.com/jMotif/jmotif-R>`__ and `Java <https://github.com/jMotif/SAX>`__
+
+%prep
+%autosetup -n saxpy-1.0.1.dev167
+
+%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-saxpy -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.1.dev167-1
+- Package Spec generated
-- 
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