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| author | CoprDistGit <infra@openeuler.org> | 2023-05-18 03:53:15 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-05-18 03:53:15 +0000 |
| commit | f2d6de1936b29a185bcf19ebcf87363a208ca37e (patch) | |
| tree | 5325fff1c60cadef012016a4e96cf9cc01c86f35 | |
| parent | 1fe861125dbb2822bc88b1533ece6c4bbcf1de59 (diff) | |
automatic import of python-tfest
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-tfest.spec | 180 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 182 insertions, 0 deletions
@@ -0,0 +1 @@ +/tfest-0.2.3.tar.gz diff --git a/python-tfest.spec b/python-tfest.spec new file mode 100644 index 0000000..27dc621 --- /dev/null +++ b/python-tfest.spec @@ -0,0 +1,180 @@ +%global _empty_manifest_terminate_build 0 +Name: python-tfest +Version: 0.2.3 +Release: 1 +Summary: Transfer function estimation based on frequency response. +License: MIT +URL: https://github.com/giuliovv/tfest +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1f/a0/da6d054ac6130931f8a48d977ab9e44d55cdbcee6da520884f34f809e491/tfest-0.2.3.tar.gz +BuildArch: noarch + + +%description +# Tfest +Transfer function estimation with frequency response. +Python equivalent of MATLAB tfest (but the algorithm is not exactly the same) + +Only works wuth SISO systems for now. + + +### Installation: +```shell +pip install tfest +``` + +### Example: +To get a scipy transfer function: +```python +import tfest +# u: input +# y: output +te = tfest.tfest(u, y) +# n_zeros, n_poles +te.estimate(3, 4, time=1) +te.get_transfer_function() +``` +"time" is simulation length in seconds. +To plot its bode diagram: +```python +te.plot_bode() +``` +Default method to calculate the frequency response Y/U is H1 estimator, if you want to use H2 or frequency/frequency just set the method to "h2" or "fft" and specify the time length of the simulation (in seconds, default is 1): +```python +te.estimate(3, 4, method="h2", time=1) +te.estimate(3, 4, method="fft", time=1) +``` +To use L1 normalization set the value of lambda l1 (default l1=0): +```python +te.estimate(3, 4, time=1, l1=0.1) +``` + +%package -n python3-tfest +Summary: Transfer function estimation based on frequency response. +Provides: python-tfest +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-tfest +# Tfest +Transfer function estimation with frequency response. +Python equivalent of MATLAB tfest (but the algorithm is not exactly the same) + +Only works wuth SISO systems for now. + + +### Installation: +```shell +pip install tfest +``` + +### Example: +To get a scipy transfer function: +```python +import tfest +# u: input +# y: output +te = tfest.tfest(u, y) +# n_zeros, n_poles +te.estimate(3, 4, time=1) +te.get_transfer_function() +``` +"time" is simulation length in seconds. +To plot its bode diagram: +```python +te.plot_bode() +``` +Default method to calculate the frequency response Y/U is H1 estimator, if you want to use H2 or frequency/frequency just set the method to "h2" or "fft" and specify the time length of the simulation (in seconds, default is 1): +```python +te.estimate(3, 4, method="h2", time=1) +te.estimate(3, 4, method="fft", time=1) +``` +To use L1 normalization set the value of lambda l1 (default l1=0): +```python +te.estimate(3, 4, time=1, l1=0.1) +``` + +%package help +Summary: Development documents and examples for tfest +Provides: python3-tfest-doc +%description help +# Tfest +Transfer function estimation with frequency response. +Python equivalent of MATLAB tfest (but the algorithm is not exactly the same) + +Only works wuth SISO systems for now. + + +### Installation: +```shell +pip install tfest +``` + +### Example: +To get a scipy transfer function: +```python +import tfest +# u: input +# y: output +te = tfest.tfest(u, y) +# n_zeros, n_poles +te.estimate(3, 4, time=1) +te.get_transfer_function() +``` +"time" is simulation length in seconds. +To plot its bode diagram: +```python +te.plot_bode() +``` +Default method to calculate the frequency response Y/U is H1 estimator, if you want to use H2 or frequency/frequency just set the method to "h2" or "fft" and specify the time length of the simulation (in seconds, default is 1): +```python +te.estimate(3, 4, method="h2", time=1) +te.estimate(3, 4, method="fft", time=1) +``` +To use L1 normalization set the value of lambda l1 (default l1=0): +```python +te.estimate(3, 4, time=1, l1=0.1) +``` + +%prep +%autosetup -n tfest-0.2.3 + +%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-tfest -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.3-1 +- Package Spec generated @@ -0,0 +1 @@ +e82cde676238d055e0e505779558becb tfest-0.2.3.tar.gz |
