automatic import of python-pingouin

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+%global _empty_manifest_terminate_build 0
+Name:		python-pingouin
+Version:	0.5.5
+Release:	1
+Summary:	Pingouin: statistical package for Python
+License:	GPL-3.0
+URL:		https://pingouin-stats.org/index.html
+Source0:	https://files.pythonhosted.org/packages/0e/3d/14a779790bac2d03a0d8f82c1857fc83c0ef8b1b77542b884808e55ee839/pingouin-0.5.5.tar.gz
+BuildArch:	noarch
+
+Requires:	(python3-matplotlib)
+Requires:	(python3-numpy)
+Requires:	(python3-pandas>=1.5)
+Requires:	(python3-pandas-flavor)
+Requires:	(python3-scikit-learn>=1.2)
+Requires:	(python3-scipy)
+Requires:	(python3-seaborn)
+Requires:	(python3-statsmodels)
+Requires:	(python3-tabulate)
+Requires:	(python3-sphinx>7.0.0)
+Requires:	(python3-pydata-sphinx-theme)
+Requires:	(python3-numpydoc)
+Requires:	(python3-sphinx-copybutton)
+Requires:	(python3-sphinx-design)
+Requires:	(python3-sphinx-notfound-page)
+Requires:	(python3-pytest>=6)
+Requires:	(python3-pytest-cov)
+Requires:	(python3-codecov)
+Requires:	(python3-openpyxl)
+Requires:	(python3-mpmath)
+Requires:	(python3-coverage[toml]>=5.3)
+
+%description
+**Pingouin** is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. For a full list of available functions, please refer to the `API documentation <https://pingouin-stats.org/build/html/api.html#>`_.
+1. ANOVAs: N-ways, repeated measures, mixed, ancova
+2. Pairwise post-hocs tests (parametric and non-parametric) and pairwise correlations
+3. Robust, partial, distance and repeated measures correlations
+4. Linear/logistic regression and mediation analysis
+5. Bayes Factors
+6. Multivariate tests
+7. Reliability and consistency
+8. Effect sizes and power analysis
+9. Parametric/bootstrapped confidence intervals around an effect size or a correlation coefficient
+10. Circular statistics
+11. Chi-squared tests
+12. Plotting: Bland-Altman plot, Q-Q plot, paired plot, robust correlation...
+Pingouin is designed for users who want **simple yet exhaustive statistical functions**.
+For example, the :code:`ttest_ind` function of SciPy returns only the T-value and the p-value. By contrast,
+the :code:`ttest` function of Pingouin returns the T-value, the p-value, the degrees of freedom, the effect size (Cohen's d), the 95% confidence intervals of the difference in means, the statistical power and the Bayes Factor (BF10) of the test.
+
+%package -n python3-pingouin
+Summary:	Pingouin: statistical package for Python
+Provides:	python-pingouin
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-wheel
+%description -n python3-pingouin
+**Pingouin** is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. For a full list of available functions, please refer to the `API documentation <https://pingouin-stats.org/build/html/api.html#>`_.
+1. ANOVAs: N-ways, repeated measures, mixed, ancova
+2. Pairwise post-hocs tests (parametric and non-parametric) and pairwise correlations
+3. Robust, partial, distance and repeated measures correlations
+4. Linear/logistic regression and mediation analysis
+5. Bayes Factors
+6. Multivariate tests
+7. Reliability and consistency
+8. Effect sizes and power analysis
+9. Parametric/bootstrapped confidence intervals around an effect size or a correlation coefficient
+10. Circular statistics
+11. Chi-squared tests
+12. Plotting: Bland-Altman plot, Q-Q plot, paired plot, robust correlation...
+Pingouin is designed for users who want **simple yet exhaustive statistical functions**.
+For example, the :code:`ttest_ind` function of SciPy returns only the T-value and the p-value. By contrast,
+the :code:`ttest` function of Pingouin returns the T-value, the p-value, the degrees of freedom, the effect size (Cohen's d), the 95% confidence intervals of the difference in means, the statistical power and the Bayes Factor (BF10) of the test.
+
+%package help
+Summary:	Development documents and examples for pingouin
+Provides:	python3-pingouin-doc
+%description help
+**Pingouin** is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. For a full list of available functions, please refer to the `API documentation <https://pingouin-stats.org/build/html/api.html#>`_.
+1. ANOVAs: N-ways, repeated measures, mixed, ancova
+2. Pairwise post-hocs tests (parametric and non-parametric) and pairwise correlations
+3. Robust, partial, distance and repeated measures correlations
+4. Linear/logistic regression and mediation analysis
+5. Bayes Factors
+6. Multivariate tests
+7. Reliability and consistency
+8. Effect sizes and power analysis
+9. Parametric/bootstrapped confidence intervals around an effect size or a correlation coefficient
+10. Circular statistics
+11. Chi-squared tests
+12. Plotting: Bland-Altman plot, Q-Q plot, paired plot, robust correlation...
+Pingouin is designed for users who want **simple yet exhaustive statistical functions**.
+For example, the :code:`ttest_ind` function of SciPy returns only the T-value and the p-value. By contrast,
+the :code:`ttest` function of Pingouin returns the T-value, the p-value, the degrees of freedom, the effect size (Cohen's d), the 95% confidence intervals of the difference in means, the statistical power and the Bayes Factor (BF10) of the test.
+
+%prep
+%autosetup -n pingouin-0.5.5
+
+%build
+CFLAGS="${CFLAGS:-${RPM_OPT_FLAGS}}" LDFLAGS="${LDFLAGS:-${RPM_LD_FLAGS}}" \
+%{__python3} -m pip wheel \
+    --verbose \
+    --progress-bar off \
+    --disable-pip-version-check \
+    --use-pep517 \
+    --no-build-isolation \
+    --no-deps \
+    --wheel-dir ./build \
+    .
+
+%install
+WHEEL_FILE=$(find ./build -name "*.whl" | head -n1)
+
+if [ -z "$WHEEL_FILE" ]; then
+    echo "ERROR: No .whl file found in ./build!" >&2
+    exit 1
+fi
+
+CFLAGS="${CFLAGS:-${RPM_OPT_FLAGS}}" LDFLAGS="${LDFLAGS:-${RPM_LD_FLAGS}}" \
+%{__python3} -m pip install \
+    --verbose \
+    --progress-bar off \
+    --disable-pip-version-check \
+    --root %{buildroot} \
+    --no-compile \
+    --ignore-installed \
+    --no-deps \
+    --no-index \
+    --find-links ./build \
+    "$WHEEL_FILE"
+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}%{python3_sitelib}
+if [ -d "UNKNOWN-0.0.0.dist-info" ]; then
+    mv "UNKNOWN-0.0.0.dist-info" "pingouin-%{version}.dist-info"
+    sed -i "s/^Name: UNKNOWN/Name: pingouin/" "pingouin-%{version}.dist-info/METADATA" 2>/dev/null || true
+    sed -i "s/^Version: 0.0.0/Version: %{version}/" "pingouin-%{version}.dist-info/METADATA" 2>/dev/null || true
+fi
+popd
+pushd %{buildroot}
+touch filelist.lst
+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-pingouin -f filelist.lst
+%{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Nov 11 2024 Python_Bot <Python_Bot@openeuler.org> - 0.5.5-1
+- Package Spec generated