From 7ee84c1ccfe75b9792d75029d405412b8b4a0421 Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Fri, 5 May 2023 13:42:28 +0000
Subject: automatic import of python-pybroom

---
 .gitignore          |   1 +
 python-pybroom.spec | 108 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 sources             |   1 +
 3 files changed, 110 insertions(+)
 create mode 100644 python-pybroom.spec
 create mode 100644 sources

diff --git a/.gitignore b/.gitignore
index e69de29..0e1733a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/pybroom-0.2.tar.gz
diff --git a/python-pybroom.spec b/python-pybroom.spec
new file mode 100644
index 0000000..a3c53e8
--- /dev/null
+++ b/python-pybroom.spec
@@ -0,0 +1,108 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-pybroom
+Version:	0.2
+Release:	1
+Summary:	Make tidy DataFrames from messy fit/model results.
+License:	MIT
+URL:		http://pybroom.readthedocs.io/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/59/e2/69bf314fb580f81884eeb8b3b7ee78bfb025630237f4fbdd6f7ad8cf278b/pybroom-0.2.tar.gz
+BuildArch:	noarch
+
+
+%description
+**Pybroom** is a small python 3+ library for converting collections of
+fit results (curve fitting or other optimizations)
+to `Pandas <http://pandas.pydata.org/>`__
+`DataFrame <http://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe>`__
+in tidy format (or long-form)
+`(Wickham 2014) <http://dx.doi.org/10.18637/jss.v059.i10>`__.
+Once fit results are in tidy DataFrames, it is possible to leverage
+`common patterns <http://tomaugspurger.github.io/modern-5-tidy.html>`__
+for tidy data analysis. Furthermore powerful visual
+explorations using multi-facet plots becomes easy thanks to libraries
+like `seaborn <https://pypi.python.org/pypi/seaborn/>`__ natively
+supporting tidy DataFrames.
+See the `pybroom homepage <http://pybroom.readthedocs.io/>`__ for more info.
+
+%package -n python3-pybroom
+Summary:	Make tidy DataFrames from messy fit/model results.
+Provides:	python-pybroom
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pybroom
+**Pybroom** is a small python 3+ library for converting collections of
+fit results (curve fitting or other optimizations)
+to `Pandas <http://pandas.pydata.org/>`__
+`DataFrame <http://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe>`__
+in tidy format (or long-form)
+`(Wickham 2014) <http://dx.doi.org/10.18637/jss.v059.i10>`__.
+Once fit results are in tidy DataFrames, it is possible to leverage
+`common patterns <http://tomaugspurger.github.io/modern-5-tidy.html>`__
+for tidy data analysis. Furthermore powerful visual
+explorations using multi-facet plots becomes easy thanks to libraries
+like `seaborn <https://pypi.python.org/pypi/seaborn/>`__ natively
+supporting tidy DataFrames.
+See the `pybroom homepage <http://pybroom.readthedocs.io/>`__ for more info.
+
+%package help
+Summary:	Development documents and examples for pybroom
+Provides:	python3-pybroom-doc
+%description help
+**Pybroom** is a small python 3+ library for converting collections of
+fit results (curve fitting or other optimizations)
+to `Pandas <http://pandas.pydata.org/>`__
+`DataFrame <http://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe>`__
+in tidy format (or long-form)
+`(Wickham 2014) <http://dx.doi.org/10.18637/jss.v059.i10>`__.
+Once fit results are in tidy DataFrames, it is possible to leverage
+`common patterns <http://tomaugspurger.github.io/modern-5-tidy.html>`__
+for tidy data analysis. Furthermore powerful visual
+explorations using multi-facet plots becomes easy thanks to libraries
+like `seaborn <https://pypi.python.org/pypi/seaborn/>`__ natively
+supporting tidy DataFrames.
+See the `pybroom homepage <http://pybroom.readthedocs.io/>`__ for more info.
+
+%prep
+%autosetup -n pybroom-0.2
+
+%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-pybroom -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..5cd5964
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+0fb52de2eee16ae7c74cf0eaf13c0dab  pybroom-0.2.tar.gz
-- 
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