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diff --git a/python-pingouin.spec b/python-pingouin.spec deleted file mode 100644 index 553fefc..0000000 --- a/python-pingouin.spec +++ /dev/null @@ -1,171 +0,0 @@ -%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 |