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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