automatic import of python-pyrushopeneuler20.03

3 files changed, 91 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..192afdc 100644
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+++ b/.gitignore
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+/PyRuSH-1.0.8.tar.gz
diff --git a/python-pyrush.spec b/python-pyrush.spec
new file mode 100644
index 0000000..08ffbeb
--- /dev/null
+++ b/python-pyrush.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-PyRuSH
+Version:	1.0.8
+Release:	1
+Summary:	A fast implementation of RuSH (Rule-based sentence Segmenter using Hashing).
+License:	Apache License
+URL:		https://github.com/jianlins/PyRuSH
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/98/0d/be2458316bb1e0f25015768108ea87f020834ecd7c5bb2946d9becbef0a6/PyRuSH-1.0.8.tar.gz
+
+Requires:	python3-Cython
+Requires:	python3-setuptools
+Requires:	python3-numpy
+Requires:	python3-spacy
+Requires:	python3-PyFastNER
+Requires:	python3-quicksectx
+
+%description
+PyRuSH is the python implementation of `RuSH <https://github.com/jianlins/RuSH>`_ (**Ru** le-based sentence **S** egmenter using **H** ashing), which is originally developed using Java. RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and eliminates the effect of rule order on accuracy.
+If you wish to cite RuSH in a publication, please use:
+Jianlin Shi ; Danielle Mowery ; Kristina M. Doing-Harris ; John F. Hurdle.RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA Annu Symp Proc. 2016: 1587.
+The full text can be found `here <https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1.3362921/2495498-1.3363244/2495498-1.3363247?timeStamp=1479743941616>`_.
+
+%package -n python3-PyRuSH
+Summary:	A fast implementation of RuSH (Rule-based sentence Segmenter using Hashing).
+Provides:	python-PyRuSH
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-PyRuSH
+PyRuSH is the python implementation of `RuSH <https://github.com/jianlins/RuSH>`_ (**Ru** le-based sentence **S** egmenter using **H** ashing), which is originally developed using Java. RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and eliminates the effect of rule order on accuracy.
+If you wish to cite RuSH in a publication, please use:
+Jianlin Shi ; Danielle Mowery ; Kristina M. Doing-Harris ; John F. Hurdle.RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA Annu Symp Proc. 2016: 1587.
+The full text can be found `here <https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1.3362921/2495498-1.3363244/2495498-1.3363247?timeStamp=1479743941616>`_.
+
+%package help
+Summary:	Development documents and examples for PyRuSH
+Provides:	python3-PyRuSH-doc
+%description help
+PyRuSH is the python implementation of `RuSH <https://github.com/jianlins/RuSH>`_ (**Ru** le-based sentence **S** egmenter using **H** ashing), which is originally developed using Java. RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and eliminates the effect of rule order on accuracy.
+If you wish to cite RuSH in a publication, please use:
+Jianlin Shi ; Danielle Mowery ; Kristina M. Doing-Harris ; John F. Hurdle.RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA Annu Symp Proc. 2016: 1587.
+The full text can be found `here <https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1.3362921/2495498-1.3363244/2495498-1.3363247?timeStamp=1479743941616>`_.
+
+%prep
+%autosetup -n PyRuSH-1.0.8
+
+%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-PyRuSH -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.8-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..57865a9
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+1eb35ff2c563814f345aa031241f5fae  PyRuSH-1.0.8.tar.gz