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authorCoprDistGit <infra@openeuler.org>2023-05-15 08:07:26 +0000
committerCoprDistGit <infra@openeuler.org>2023-05-15 08:07:26 +0000
commit535be585a1ffd377b9024534d20b5424ea319e18 (patch)
tree5f98c522b92a9a6f8b3dd2783a6696725da8b8de
parent99b7c15374f5d2eb7c06c21ca8ad68510c2c609a (diff)
automatic import of python-spectrum
-rw-r--r--.gitignore1
-rw-r--r--python-spectrum.spec99
-rw-r--r--sources1
3 files changed, 101 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
index e69de29..55c76d8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/spectrum-0.8.1.tar.gz
diff --git a/python-spectrum.spec b/python-spectrum.spec
new file mode 100644
index 0000000..97e8014
--- /dev/null
+++ b/python-spectrum.spec
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+%global _empty_manifest_terminate_build 0
+Name: python-spectrum
+Version: 0.8.1
+Release: 1
+Summary: Spectrum Analysis Tools
+License: new BSD
+URL: http://github.com/cokelaer/spectrum
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/81/31/21d5b324192f0adbae94acbb5da3ace642fa1552a03505780ffca6044e64/spectrum-0.8.1.tar.gz
+BuildArch: noarch
+
+
+%description
+**Spectrum** contains tools to estimate Power Spectral Densities using methods based on Fourier transform, Parametric methods or eigenvalues analysis:
+ * The Fourier methods are based upon correlogram, periodogram and Welch estimates. Standard tapering windows (Hann, Hamming, Blackman) and more exotic ones are available (DPSS, Taylor, ...).
+ * The parametric methods are based on Yule-Walker, BURG, MA and ARMA, covariance and modified covariance methods.
+ * Non-parametric methods based on eigen analysis (e.g., MUSIC) and minimum variance analysis are also implemented.
+ * Multitapering is also available
+The targetted audience is diverse. Although the use of power spectrum of a
+signal is fundamental in electrical engineering (e.g. radio communications,
+radar), it has a wide range of applications from cosmology (e.g., detection of
+gravitational waves in 2016), to music (pattern detection) or biology (mass
+spectroscopy).
+
+%package -n python3-spectrum
+Summary: Spectrum Analysis Tools
+Provides: python-spectrum
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-spectrum
+**Spectrum** contains tools to estimate Power Spectral Densities using methods based on Fourier transform, Parametric methods or eigenvalues analysis:
+ * The Fourier methods are based upon correlogram, periodogram and Welch estimates. Standard tapering windows (Hann, Hamming, Blackman) and more exotic ones are available (DPSS, Taylor, ...).
+ * The parametric methods are based on Yule-Walker, BURG, MA and ARMA, covariance and modified covariance methods.
+ * Non-parametric methods based on eigen analysis (e.g., MUSIC) and minimum variance analysis are also implemented.
+ * Multitapering is also available
+The targetted audience is diverse. Although the use of power spectrum of a
+signal is fundamental in electrical engineering (e.g. radio communications,
+radar), it has a wide range of applications from cosmology (e.g., detection of
+gravitational waves in 2016), to music (pattern detection) or biology (mass
+spectroscopy).
+
+%package help
+Summary: Development documents and examples for spectrum
+Provides: python3-spectrum-doc
+%description help
+**Spectrum** contains tools to estimate Power Spectral Densities using methods based on Fourier transform, Parametric methods or eigenvalues analysis:
+ * The Fourier methods are based upon correlogram, periodogram and Welch estimates. Standard tapering windows (Hann, Hamming, Blackman) and more exotic ones are available (DPSS, Taylor, ...).
+ * The parametric methods are based on Yule-Walker, BURG, MA and ARMA, covariance and modified covariance methods.
+ * Non-parametric methods based on eigen analysis (e.g., MUSIC) and minimum variance analysis are also implemented.
+ * Multitapering is also available
+The targetted audience is diverse. Although the use of power spectrum of a
+signal is fundamental in electrical engineering (e.g. radio communications,
+radar), it has a wide range of applications from cosmology (e.g., detection of
+gravitational waves in 2016), to music (pattern detection) or biology (mass
+spectroscopy).
+
+%prep
+%autosetup -n spectrum-0.8.1
+
+%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-spectrum -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..282cc7a
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+653c7d5ab9859a644f69f9c4a47ab44c spectrum-0.8.1.tar.gz