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authorCoprDistGit <infra@openeuler.org>2023-04-10 12:48:40 +0000
committerCoprDistGit <infra@openeuler.org>2023-04-10 12:48:40 +0000
commit344d94030dd0079edf5ca024c6119fd2c4e76658 (patch)
tree7ee3a29057da0a4ac039471d0efbf332af4cf54e
parente0d385850495cb52196932a9ab04b1f007ecb32f (diff)
automatic import of python-fastdtw
-rw-r--r--.gitignore1
-rw-r--r--python-fastdtw.spec76
-rw-r--r--sources1
3 files changed, 78 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
index e69de29..8e8248f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/fastdtw-0.3.4.tar.gz
diff --git a/python-fastdtw.spec b/python-fastdtw.spec
new file mode 100644
index 0000000..ef00fd8
--- /dev/null
+++ b/python-fastdtw.spec
@@ -0,0 +1,76 @@
+%global _empty_manifest_terminate_build 0
+Name: python-fastdtw
+Version: 0.3.4
+Release: 1
+Summary: Dynamic Time Warping (DTW) algorithm with an O(N) time and memory complexity.
+License: MIT
+URL: https://github.com/slaypni/fastdtw
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/99/43/30f2d8db076f216b15c10db663b46e22d1750b1ebacd7af6e62b83d6ab98/fastdtw-0.3.4.tar.gz
+BuildArch: noarch
+
+Requires: python3-numpy
+
+%description
+Python implementation of `FastDTW
+<http://cs.fit.edu/~pkc/papers/tdm04.pdf>`_ [1]_, which is an approximate Dynamic Time Warping (DTW) algorithm that provides optimal or near-optimal alignments with an O(N) time and memory complexity.
+
+%package -n python3-fastdtw
+Summary: Dynamic Time Warping (DTW) algorithm with an O(N) time and memory complexity.
+Provides: python-fastdtw
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-fastdtw
+Python implementation of `FastDTW
+<http://cs.fit.edu/~pkc/papers/tdm04.pdf>`_ [1]_, which is an approximate Dynamic Time Warping (DTW) algorithm that provides optimal or near-optimal alignments with an O(N) time and memory complexity.
+
+%package help
+Summary: Development documents and examples for fastdtw
+Provides: python3-fastdtw-doc
+%description help
+Python implementation of `FastDTW
+<http://cs.fit.edu/~pkc/papers/tdm04.pdf>`_ [1]_, which is an approximate Dynamic Time Warping (DTW) algorithm that provides optimal or near-optimal alignments with an O(N) time and memory complexity.
+
+%prep
+%autosetup -n fastdtw-0.3.4
+
+%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-fastdtw -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..0327c20
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+03804669ea21e5a91ca06d39dc1908ec fastdtw-0.3.4.tar.gz