automatic import of python-flaky-tests-detection

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+/flaky-tests-detection-1.3.0.tar.gz
diff --git a/python-flaky-tests-detection.spec b/python-flaky-tests-detection.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-flaky-tests-detection
+Version:	1.3.0
+Release:	1
+Summary:	Github actions plugin to check flakiness of tests by calculating fliprates.
+License:	Apache License 2.0
+URL:		https://github.com/F-Secure/flaky-tests-detection
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/de/33/f6e1d27d107416507ba2259b290969eb5fe90650b6f5a19f5fae5147e708/flaky-tests-detection-1.3.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pandas
+Requires:	python3-junitparser
+Requires:	python3-seaborn
+Requires:	python3-matplotlib
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-black
+Requires:	python3-mypy
+Requires:	python3-semantic-release
+
+%description
+# Flaky tests detection
+
+<center><img src="https://github.com/F-Secure/flaky-tests-detection/blob/master/docs/imgs/Flaky-test-detection.png" width="120px" height="120px"/></center>
+
+Visualize tests whose state changes most often. During software development, it is often common that some tests start to randomly fail,
+but finding those tests is a tedious and time consuming problem. Flaky tests detection solves that problem by processing historical xunit test
+results and checks which tests changes state most often. Flaky tests detection is available as Github Action plugin and
+[Python package](https://pypi.org/project/flaky-tests-detection/). For usage, see [example](https://github.com/F-Secure/flaky-test-ci)
+at the `actions` page.
+
+Implementation is based on ["Modeling and ranking flaky tests at Apple"](https://dl.acm.org/doi/10.1145/3377813.3381370) by Kowalczyk, Emily & Nair, Karan & Gao, Zebao & Silberstein, Leo & Long, Teng & Memon, Atif.
+
+## Features
+
+* Prints out top test names and their latest calculation window scores (normal fliprate and exponentially weighted moving average fliprate that take previous calculation windows into account).
+* Calculation grouping options:
+  * `n` days.
+  * `n` runs.
+* Heatmap visualization of the scores and history.
+  
+## Parameters
+
+### Data options (choose one)
+
+* `--test-history-csv`
+  * Give a path to a test history csv file which includes three fields: `timestamp`, `test_identifier` and `test_status`.
+* `--junit-files`
+  * Give a path to a folder with `JUnit` test results.
+  
+### Calculation options
+
+* `--grouping-option`
+  * `days` to use `n` days for fliprate calculation windows.
+  * `runs` to use `n` runs for fliprate calculation windows.
+  
+* `--window-size`
+  * Fliprate calculation window size `n`.
+  
+* `--window-count`
+  * History size for exponentially weighted moving average calculations.
+  
+* `--top-n`
+  * How many top highest scoring tests to print out.
+### Heatmap generation
+* `--heatmap`
+  * Turn heatmap generation on.
+  * Two pictures generated: normal fliprate and exponentially weighted moving average fliprate score.
+  * Same parameters used as with the printed statistics.
+  
+### Full examples
+
+* Precomputed `test_history.csv` with daily calulations. 1 day windows, 7 day history and 5 tests printed out.
+  * `--test-history-csv=example_history/test_history.csv --grouping-option=days --window-size=1 --window-count=7 --top-n=5`
+* `JUnit` files with calculations per 5 runs. 15 runs history and 5 tests printed out.
+  * `--junit-files=example_history/junit_files --grouping-option=runs --window-size=5 --window-count=3 --top-n=5`
+* Precomputed `test_history.csv` with daily calculations and heatmap generation. 1 day windows, 7 day history and 50 tests printed and generated to heatmaps.
+  * `--test-history-csv=example_history/test_history.csv --grouping-option=days --window-size=1 --window-count=7 --top-n=50 --heatmap` 
+
+## Install module
+
+* `make install`
+
+## Install module and development packages
+
+* `make install_dev`
+
+## Run pytest
+
+* `make run_test`
+
+## Acknowledgement
+
+The package was developed by [F-Secure Corporation][f-secure] and [University of Helsinki][hy] in the scope of [IVVES project][ivves]. This work was labelled by [ITEA3][itea3] and funded by local authorities under grant agreement “ITEA-2019-18022-IVVES”
+
+[ivves]: http://ivves.eu/
+[itea3]: https://itea3.org/
+[f-secure]: https://www.f-secure.com/en
+[hy]: https://www.helsinki.fi/en/computer-science
+
+
+%package -n python3-flaky-tests-detection
+Summary:	Github actions plugin to check flakiness of tests by calculating fliprates.
+Provides:	python-flaky-tests-detection
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-flaky-tests-detection
+# Flaky tests detection
+
+<center><img src="https://github.com/F-Secure/flaky-tests-detection/blob/master/docs/imgs/Flaky-test-detection.png" width="120px" height="120px"/></center>
+
+Visualize tests whose state changes most often. During software development, it is often common that some tests start to randomly fail,
+but finding those tests is a tedious and time consuming problem. Flaky tests detection solves that problem by processing historical xunit test
+results and checks which tests changes state most often. Flaky tests detection is available as Github Action plugin and
+[Python package](https://pypi.org/project/flaky-tests-detection/). For usage, see [example](https://github.com/F-Secure/flaky-test-ci)
+at the `actions` page.
+
+Implementation is based on ["Modeling and ranking flaky tests at Apple"](https://dl.acm.org/doi/10.1145/3377813.3381370) by Kowalczyk, Emily & Nair, Karan & Gao, Zebao & Silberstein, Leo & Long, Teng & Memon, Atif.
+
+## Features
+
+* Prints out top test names and their latest calculation window scores (normal fliprate and exponentially weighted moving average fliprate that take previous calculation windows into account).
+* Calculation grouping options:
+  * `n` days.
+  * `n` runs.
+* Heatmap visualization of the scores and history.
+  
+## Parameters
+
+### Data options (choose one)
+
+* `--test-history-csv`
+  * Give a path to a test history csv file which includes three fields: `timestamp`, `test_identifier` and `test_status`.
+* `--junit-files`
+  * Give a path to a folder with `JUnit` test results.
+  
+### Calculation options
+
+* `--grouping-option`
+  * `days` to use `n` days for fliprate calculation windows.
+  * `runs` to use `n` runs for fliprate calculation windows.
+  
+* `--window-size`
+  * Fliprate calculation window size `n`.
+  
+* `--window-count`
+  * History size for exponentially weighted moving average calculations.
+  
+* `--top-n`
+  * How many top highest scoring tests to print out.
+### Heatmap generation
+* `--heatmap`
+  * Turn heatmap generation on.
+  * Two pictures generated: normal fliprate and exponentially weighted moving average fliprate score.
+  * Same parameters used as with the printed statistics.
+  
+### Full examples
+
+* Precomputed `test_history.csv` with daily calulations. 1 day windows, 7 day history and 5 tests printed out.
+  * `--test-history-csv=example_history/test_history.csv --grouping-option=days --window-size=1 --window-count=7 --top-n=5`
+* `JUnit` files with calculations per 5 runs. 15 runs history and 5 tests printed out.
+  * `--junit-files=example_history/junit_files --grouping-option=runs --window-size=5 --window-count=3 --top-n=5`
+* Precomputed `test_history.csv` with daily calculations and heatmap generation. 1 day windows, 7 day history and 50 tests printed and generated to heatmaps.
+  * `--test-history-csv=example_history/test_history.csv --grouping-option=days --window-size=1 --window-count=7 --top-n=50 --heatmap` 
+
+## Install module
+
+* `make install`
+
+## Install module and development packages
+
+* `make install_dev`
+
+## Run pytest
+
+* `make run_test`
+
+## Acknowledgement
+
+The package was developed by [F-Secure Corporation][f-secure] and [University of Helsinki][hy] in the scope of [IVVES project][ivves]. This work was labelled by [ITEA3][itea3] and funded by local authorities under grant agreement “ITEA-2019-18022-IVVES”
+
+[ivves]: http://ivves.eu/
+[itea3]: https://itea3.org/
+[f-secure]: https://www.f-secure.com/en
+[hy]: https://www.helsinki.fi/en/computer-science
+
+
+%package help
+Summary:	Development documents and examples for flaky-tests-detection
+Provides:	python3-flaky-tests-detection-doc
+%description help
+# Flaky tests detection
+
+<center><img src="https://github.com/F-Secure/flaky-tests-detection/blob/master/docs/imgs/Flaky-test-detection.png" width="120px" height="120px"/></center>
+
+Visualize tests whose state changes most often. During software development, it is often common that some tests start to randomly fail,
+but finding those tests is a tedious and time consuming problem. Flaky tests detection solves that problem by processing historical xunit test
+results and checks which tests changes state most often. Flaky tests detection is available as Github Action plugin and
+[Python package](https://pypi.org/project/flaky-tests-detection/). For usage, see [example](https://github.com/F-Secure/flaky-test-ci)
+at the `actions` page.
+
+Implementation is based on ["Modeling and ranking flaky tests at Apple"](https://dl.acm.org/doi/10.1145/3377813.3381370) by Kowalczyk, Emily & Nair, Karan & Gao, Zebao & Silberstein, Leo & Long, Teng & Memon, Atif.
+
+## Features
+
+* Prints out top test names and their latest calculation window scores (normal fliprate and exponentially weighted moving average fliprate that take previous calculation windows into account).
+* Calculation grouping options:
+  * `n` days.
+  * `n` runs.
+* Heatmap visualization of the scores and history.
+  
+## Parameters
+
+### Data options (choose one)
+
+* `--test-history-csv`
+  * Give a path to a test history csv file which includes three fields: `timestamp`, `test_identifier` and `test_status`.
+* `--junit-files`
+  * Give a path to a folder with `JUnit` test results.
+  
+### Calculation options
+
+* `--grouping-option`
+  * `days` to use `n` days for fliprate calculation windows.
+  * `runs` to use `n` runs for fliprate calculation windows.
+  
+* `--window-size`
+  * Fliprate calculation window size `n`.
+  
+* `--window-count`
+  * History size for exponentially weighted moving average calculations.
+  
+* `--top-n`
+  * How many top highest scoring tests to print out.
+### Heatmap generation
+* `--heatmap`
+  * Turn heatmap generation on.
+  * Two pictures generated: normal fliprate and exponentially weighted moving average fliprate score.
+  * Same parameters used as with the printed statistics.
+  
+### Full examples
+
+* Precomputed `test_history.csv` with daily calulations. 1 day windows, 7 day history and 5 tests printed out.
+  * `--test-history-csv=example_history/test_history.csv --grouping-option=days --window-size=1 --window-count=7 --top-n=5`
+* `JUnit` files with calculations per 5 runs. 15 runs history and 5 tests printed out.
+  * `--junit-files=example_history/junit_files --grouping-option=runs --window-size=5 --window-count=3 --top-n=5`
+* Precomputed `test_history.csv` with daily calculations and heatmap generation. 1 day windows, 7 day history and 50 tests printed and generated to heatmaps.
+  * `--test-history-csv=example_history/test_history.csv --grouping-option=days --window-size=1 --window-count=7 --top-n=50 --heatmap` 
+
+## Install module
+
+* `make install`
+
+## Install module and development packages
+
+* `make install_dev`
+
+## Run pytest
+
+* `make run_test`
+
+## Acknowledgement
+
+The package was developed by [F-Secure Corporation][f-secure] and [University of Helsinki][hy] in the scope of [IVVES project][ivves]. This work was labelled by [ITEA3][itea3] and funded by local authorities under grant agreement “ITEA-2019-18022-IVVES”
+
+[ivves]: http://ivves.eu/
+[itea3]: https://itea3.org/
+[f-secure]: https://www.f-secure.com/en
+[hy]: https://www.helsinki.fi/en/computer-science
+
+
+%prep
+%autosetup -n flaky-tests-detection-1.3.0
+
+%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-flaky-tests-detection -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.0-1
+- Package Spec generated
diff --git a/sources b/sources
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+8b9fe0ee15252651dece77ebf8d0b311  flaky-tests-detection-1.3.0.tar.gz