From 535be585a1ffd377b9024534d20b5424ea319e18 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Mon, 15 May 2023 08:07:26 +0000 Subject: automatic import of python-spectrum --- .gitignore | 1 + python-spectrum.spec | 99 ++++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 101 insertions(+) create mode 100644 python-spectrum.spec create mode 100644 sources 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 @@ -0,0 +1,99 @@ +%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 - 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 -- cgit v1.2.3