automatic import of python-siuba

3 files changed, 129 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/siuba-0.4.2.tar.gz
diff --git a/python-siuba.spec b/python-siuba.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-siuba
+Version:	0.4.2
+Release:	1
+Summary:	A package for quick, scrappy analyses with pandas and SQL
+License:	MIT
+URL:		https://github.com/machow/siuba
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/85/ac/6e5c4407971bd1a01846334d0a8a2bb103e24b0ac5955fea3abdc6c834a4/siuba-0.4.2.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pandas
+Requires:	python3-numpy
+Requires:	python3-SQLAlchemy
+Requires:	python3-PyYAML
+Requires:	python3-plotnine
+Requires:	python3-jupyter
+Requires:	python3-nbval
+Requires:	python3-sphinx
+Requires:	python3-nbsphinx
+Requires:	python3-jupytext
+Requires:	python3-gapminder
+Requires:	python3-pytest
+Requires:	python3-hypothesis
+
+%description
+*scrappy data analysis, with seamless support for pandas and SQL*
+[![CI](https://github.com/machow/siuba/workflows/CI/badge.svg)](https://github.com/machow/siuba/actions?query=workflow%3ACI+branch%3Amain)
+[![Documentation Status](https://img.shields.io/badge/docs-siuba.org-blue.svg)](https://siuba.org)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/machow/siuba/master)
+<img width="30%" align="right" src="./docs/siuba_small.svg">
+siuba ([小巴](http://www.cantonese.sheik.co.uk/dictionary/words/9139/)) is a port of [dplyr](https://github.com/tidyverse/dplyr) and other R libraries. It supports a tabular data analysis workflow centered on 5 common actions:
+* `select()` - keep certain columns of data.
+* `filter()` - keep certain rows of data.
+* `mutate()` - create or modify an existing column of data.
+* `summarize()` - reduce one or more columns down to a single number.
+* `arrange()` - reorder the rows of data.
+These actions can be preceded by a `group_by()`, which causes them to be applied individually to grouped rows of data. Moreover, many SQL concepts, such as `distinct()`, `count()`, and joins are implemented.
+Inputs to these functions can be a pandas `DataFrame` or SQL connection (currently postgres, redshift, or sqlite).
+For more on the rationale behind tools like dplyr, see this [tidyverse paper](https://tidyverse.tidyverse.org/articles/paper.html). 
+For examples of siuba in action, see the [siuba guide](https://siuba.org/guide).
+
+%package -n python3-siuba
+Summary:	A package for quick, scrappy analyses with pandas and SQL
+Provides:	python-siuba
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-siuba
+*scrappy data analysis, with seamless support for pandas and SQL*
+[![CI](https://github.com/machow/siuba/workflows/CI/badge.svg)](https://github.com/machow/siuba/actions?query=workflow%3ACI+branch%3Amain)
+[![Documentation Status](https://img.shields.io/badge/docs-siuba.org-blue.svg)](https://siuba.org)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/machow/siuba/master)
+<img width="30%" align="right" src="./docs/siuba_small.svg">
+siuba ([小巴](http://www.cantonese.sheik.co.uk/dictionary/words/9139/)) is a port of [dplyr](https://github.com/tidyverse/dplyr) and other R libraries. It supports a tabular data analysis workflow centered on 5 common actions:
+* `select()` - keep certain columns of data.
+* `filter()` - keep certain rows of data.
+* `mutate()` - create or modify an existing column of data.
+* `summarize()` - reduce one or more columns down to a single number.
+* `arrange()` - reorder the rows of data.
+These actions can be preceded by a `group_by()`, which causes them to be applied individually to grouped rows of data. Moreover, many SQL concepts, such as `distinct()`, `count()`, and joins are implemented.
+Inputs to these functions can be a pandas `DataFrame` or SQL connection (currently postgres, redshift, or sqlite).
+For more on the rationale behind tools like dplyr, see this [tidyverse paper](https://tidyverse.tidyverse.org/articles/paper.html). 
+For examples of siuba in action, see the [siuba guide](https://siuba.org/guide).
+
+%package help
+Summary:	Development documents and examples for siuba
+Provides:	python3-siuba-doc
+%description help
+*scrappy data analysis, with seamless support for pandas and SQL*
+[![CI](https://github.com/machow/siuba/workflows/CI/badge.svg)](https://github.com/machow/siuba/actions?query=workflow%3ACI+branch%3Amain)
+[![Documentation Status](https://img.shields.io/badge/docs-siuba.org-blue.svg)](https://siuba.org)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/machow/siuba/master)
+<img width="30%" align="right" src="./docs/siuba_small.svg">
+siuba ([小巴](http://www.cantonese.sheik.co.uk/dictionary/words/9139/)) is a port of [dplyr](https://github.com/tidyverse/dplyr) and other R libraries. It supports a tabular data analysis workflow centered on 5 common actions:
+* `select()` - keep certain columns of data.
+* `filter()` - keep certain rows of data.
+* `mutate()` - create or modify an existing column of data.
+* `summarize()` - reduce one or more columns down to a single number.
+* `arrange()` - reorder the rows of data.
+These actions can be preceded by a `group_by()`, which causes them to be applied individually to grouped rows of data. Moreover, many SQL concepts, such as `distinct()`, `count()`, and joins are implemented.
+Inputs to these functions can be a pandas `DataFrame` or SQL connection (currently postgres, redshift, or sqlite).
+For more on the rationale behind tools like dplyr, see this [tidyverse paper](https://tidyverse.tidyverse.org/articles/paper.html). 
+For examples of siuba in action, see the [siuba guide](https://siuba.org/guide).
+
+%prep
+%autosetup -n siuba-0.4.2
+
+%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-siuba -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.2-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..a2771c9
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+cf34541b3f6836ae27700550b0803c3c  siuba-0.4.2.tar.gz