From 6ab6ae6535d89e8334f6eecc7babd6bcfe366efd Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Tue, 11 Apr 2023 06:18:09 +0000 Subject: automatic import of python-siuba --- .gitignore | 1 + python-siuba.spec | 127 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 129 insertions(+) create mode 100644 python-siuba.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..8f2c11a 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/siuba-0.4.2.tar.gz diff --git a/python-siuba.spec b/python-siuba.spec new file mode 100644 index 0000000..697f00a --- /dev/null +++ b/python-siuba.spec @@ -0,0 +1,127 @@ +%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) + +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) + +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) + +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 - 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 -- cgit v1.2.3