automatic import of python-dabest

3 files changed, 130 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/dabest-2023.2.14.tar.gz
diff --git a/python-dabest.spec b/python-dabest.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-dabest
+Version:	2023.2.14
+Release:	1
+Summary:	Data Analysis and Visualization using Bootstrap-Coupled Estimation.
+License:	BSD 3-clause Clear License
+URL:		https://acclab.github.io/DABEST-python-docs
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/6b/63/7801bafdc9c9f160799115e8498aa47682f8ff40db79737554e1b8fd2a1a/dabest-2023.2.14.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-pandas
+Requires:	python3-matplotlib
+Requires:	python3-seaborn
+Requires:	python3-lqrt
+Requires:	python3-pytest
+Requires:	python3-pytest-mpl
+
+%description
+Estimation statistics is a simple framework <https://thenewstatistics.com/itns/>

+that—while avoiding the pitfalls of significance testing—uses familiar statistical

+concepts: means, mean differences, and error bars. More importantly, it focuses on

+the effect size of one's experiment/intervention, as opposed to

+significance testing.

+

+An estimation plot has two key features. Firstly, it presents all

+datapoints as a swarmplot, which orders each point to display the

+underlying distribution. Secondly, an estimation plot presents the

+effect size as a bootstrap 95% confidence interval on a separate but

+aligned axes.

+

+Please cite this work as:

+Moving beyond P values: Everyday data analysis with estimation plots

+Joses Ho, Tayfun Tumkaya, Sameer Aryal, Hyungwon Choi, Adam Claridge-Chang

+https://doi.org/10.1101/377978

+
+
+%package -n python3-dabest
+Summary:	Data Analysis and Visualization using Bootstrap-Coupled Estimation.
+Provides:	python-dabest
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-dabest
+Estimation statistics is a simple framework <https://thenewstatistics.com/itns/>

+that—while avoiding the pitfalls of significance testing—uses familiar statistical

+concepts: means, mean differences, and error bars. More importantly, it focuses on

+the effect size of one's experiment/intervention, as opposed to

+significance testing.

+

+An estimation plot has two key features. Firstly, it presents all

+datapoints as a swarmplot, which orders each point to display the

+underlying distribution. Secondly, an estimation plot presents the

+effect size as a bootstrap 95% confidence interval on a separate but

+aligned axes.

+

+Please cite this work as:

+Moving beyond P values: Everyday data analysis with estimation plots

+Joses Ho, Tayfun Tumkaya, Sameer Aryal, Hyungwon Choi, Adam Claridge-Chang

+https://doi.org/10.1101/377978

+
+
+%package help
+Summary:	Development documents and examples for dabest
+Provides:	python3-dabest-doc
+%description help
+Estimation statistics is a simple framework <https://thenewstatistics.com/itns/>

+that—while avoiding the pitfalls of significance testing—uses familiar statistical

+concepts: means, mean differences, and error bars. More importantly, it focuses on

+the effect size of one's experiment/intervention, as opposed to

+significance testing.

+

+An estimation plot has two key features. Firstly, it presents all

+datapoints as a swarmplot, which orders each point to display the

+underlying distribution. Secondly, an estimation plot presents the

+effect size as a bootstrap 95% confidence interval on a separate but

+aligned axes.

+

+Please cite this work as:

+Moving beyond P values: Everyday data analysis with estimation plots

+Joses Ho, Tayfun Tumkaya, Sameer Aryal, Hyungwon Choi, Adam Claridge-Chang

+https://doi.org/10.1101/377978

+
+
+%prep
+%autosetup -n dabest-2023.2.14
+
+%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-dabest -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 2023.2.14-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..e1fd6ec
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+8c1a38fab335308b7550de3ab318e55a  dabest-2023.2.14.tar.gz