automatic import of python-vettingopeneuler20.03

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+/vetting-0.3.tar.gz
diff --git a/python-vetting.spec b/python-vetting.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-vetting
+Version:	0.3
+Release:	1
+Summary:	Simple, stand-alone vetting tools for transiting signals in Keper, K2 and TESS data
+License:	MIT
+URL:		https://github.com/SSDataLab/vetting
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/7f/2e/5a2f44fd291eed095ff4393f9e9effdd588c87495ee05311f095facfbd07/vetting-0.3.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-lightkurve
+Requires:	python3-corner
+
+%description
+# vetting
+
+**`vetting` contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. `vetting` requires an installation of Python 3.8 or higher.**
+
+[![pypi](https://img.shields.io/pypi/v/vetting)](https://pypi.org/project/vetting/)
+![pytest](https://github.com/ssdatalab/vetting/workflows/pytest/badge.svg)
+
+## Installation
+
+You can install `vetting` by executing the following in a terminal
+
+```
+pip install vetting
+```
+
+### Centroid testing
+
+An example of a simple test is shown below.
+
+![Example of simple centroid test](https://github.com/SSDataLab/vetting/raw/main/demo.png)
+
+Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:
+
+```python
+import lightkurve as lk
+from vetting import centroid_test
+
+tpf = lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
+period, t0, dur = 25.3368592, 192.91552, 8.85/24
+r = centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)
+```
+
+
+%package -n python3-vetting
+Summary:	Simple, stand-alone vetting tools for transiting signals in Keper, K2 and TESS data
+Provides:	python-vetting
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-vetting
+# vetting
+
+**`vetting` contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. `vetting` requires an installation of Python 3.8 or higher.**
+
+[![pypi](https://img.shields.io/pypi/v/vetting)](https://pypi.org/project/vetting/)
+![pytest](https://github.com/ssdatalab/vetting/workflows/pytest/badge.svg)
+
+## Installation
+
+You can install `vetting` by executing the following in a terminal
+
+```
+pip install vetting
+```
+
+### Centroid testing
+
+An example of a simple test is shown below.
+
+![Example of simple centroid test](https://github.com/SSDataLab/vetting/raw/main/demo.png)
+
+Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:
+
+```python
+import lightkurve as lk
+from vetting import centroid_test
+
+tpf = lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
+period, t0, dur = 25.3368592, 192.91552, 8.85/24
+r = centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)
+```
+
+
+%package help
+Summary:	Development documents and examples for vetting
+Provides:	python3-vetting-doc
+%description help
+# vetting
+
+**`vetting` contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. `vetting` requires an installation of Python 3.8 or higher.**
+
+[![pypi](https://img.shields.io/pypi/v/vetting)](https://pypi.org/project/vetting/)
+![pytest](https://github.com/ssdatalab/vetting/workflows/pytest/badge.svg)
+
+## Installation
+
+You can install `vetting` by executing the following in a terminal
+
+```
+pip install vetting
+```
+
+### Centroid testing
+
+An example of a simple test is shown below.
+
+![Example of simple centroid test](https://github.com/SSDataLab/vetting/raw/main/demo.png)
+
+Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:
+
+```python
+import lightkurve as lk
+from vetting import centroid_test
+
+tpf = lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
+period, t0, dur = 25.3368592, 192.91552, 8.85/24
+r = centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)
+```
+
+
+%prep
+%autosetup -n vetting-0.3
+
+%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-vetting -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3-1
+- Package Spec generated
diff --git a/sources b/sources
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+9862c32e910a5e8ed23078d64675248a  vetting-0.3.tar.gz