automatic import of python-phopeneuler20.03

3 files changed, 137 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..c9ab538 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/ph-1.1.5.tar.gz
diff --git a/python-ph.spec b/python-ph.spec
new file mode 100644
index 0000000..f66ff89
--- /dev/null
+++ b/python-ph.spec
@@ -0,0 +1,135 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-ph
+Version:	1.1.5
+Release:	1
+Summary:	ph - the tabular data shell tool
+License:	MIT
+URL:		https://github.com/pgdr/ph
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/e5/a4/323f30fbe76846de859abe24a50b453378f206e0faccae65e1df49817ccc/ph-1.1.5.tar.gz
+BuildArch:	noarch
+
+
+%description
+## Raison d'être
+Using the _pipeline_ in Linux is nothing short of a dream in the life of the
+computer super user.
+However the pipe is clearly most suited for a stream of lines of textual data,
+and not when the stream is actually tabular data.
+Tabular data is much more complex to work with due to its dual indexing and the
+fact that we often read horizontally and often read vertically.
+The defacto format for tabular data is `csv`
+([comma-separated values](https://en.wikipedia.org/wiki/Comma-separated_values),
+which is not perfect in any sense
+of the word), and the defacto tool for working with tabular data in Python is
+Pandas.
+This is a shell utility `ph` (pronounced _phi_)
+that reads tabular data from
+[_standard in_](https://en.wikipedia.org/wiki/Standard_streams#Standard_input_(stdin))
+and allows
+you to perform a pandas function on the data, before writing it to standard out
+in `csv` format.
+The goal is to create a tool which makes it nicer to work with tabular data in a
+pipeline.
+To achieve the goal, `ph` then reads csv data, does some manipulation,
+and prints out csv data.  With csv as the invariant, `ph` can be used in
+
+%package -n python3-ph
+Summary:	ph - the tabular data shell tool
+Provides:	python-ph
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-ph
+## Raison d'être
+Using the _pipeline_ in Linux is nothing short of a dream in the life of the
+computer super user.
+However the pipe is clearly most suited for a stream of lines of textual data,
+and not when the stream is actually tabular data.
+Tabular data is much more complex to work with due to its dual indexing and the
+fact that we often read horizontally and often read vertically.
+The defacto format for tabular data is `csv`
+([comma-separated values](https://en.wikipedia.org/wiki/Comma-separated_values),
+which is not perfect in any sense
+of the word), and the defacto tool for working with tabular data in Python is
+Pandas.
+This is a shell utility `ph` (pronounced _phi_)
+that reads tabular data from
+[_standard in_](https://en.wikipedia.org/wiki/Standard_streams#Standard_input_(stdin))
+and allows
+you to perform a pandas function on the data, before writing it to standard out
+in `csv` format.
+The goal is to create a tool which makes it nicer to work with tabular data in a
+pipeline.
+To achieve the goal, `ph` then reads csv data, does some manipulation,
+and prints out csv data.  With csv as the invariant, `ph` can be used in
+
+%package help
+Summary:	Development documents and examples for ph
+Provides:	python3-ph-doc
+%description help
+## Raison d'être
+Using the _pipeline_ in Linux is nothing short of a dream in the life of the
+computer super user.
+However the pipe is clearly most suited for a stream of lines of textual data,
+and not when the stream is actually tabular data.
+Tabular data is much more complex to work with due to its dual indexing and the
+fact that we often read horizontally and often read vertically.
+The defacto format for tabular data is `csv`
+([comma-separated values](https://en.wikipedia.org/wiki/Comma-separated_values),
+which is not perfect in any sense
+of the word), and the defacto tool for working with tabular data in Python is
+Pandas.
+This is a shell utility `ph` (pronounced _phi_)
+that reads tabular data from
+[_standard in_](https://en.wikipedia.org/wiki/Standard_streams#Standard_input_(stdin))
+and allows
+you to perform a pandas function on the data, before writing it to standard out
+in `csv` format.
+The goal is to create a tool which makes it nicer to work with tabular data in a
+pipeline.
+To achieve the goal, `ph` then reads csv data, does some manipulation,
+and prints out csv data.  With csv as the invariant, `ph` can be used in
+
+%prep
+%autosetup -n ph-1.1.5
+
+%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-ph -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.5-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..f5ffe8e
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+d41c0e8be46462d4a77b6581c1ab686e  ph-1.1.5.tar.gz