automatic import of python-text-normalizeropeneuler20.03

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+/text-normalizer-0.1.3.tar.gz
diff --git a/python-text-normalizer.spec b/python-text-normalizer.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-text-normalizer
+Version:	0.1.3
+Release:	1
+Summary:	Yoctol Natural Language Text Normalizer
+License:	MIT
+URL:		https://github.com/Yoctol/text-normalizer
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b7/98/b49628d90d5793e7369e25d6a84f9ca4a1fc6472d848d15daa9bf9129ad7/text-normalizer-0.1.3.tar.gz
+BuildArch:	noarch
+
+
+%description
+# text-normalizer
+
+[![travis][travis-image]][travis-url]
+[![pypi][pypi-image]][pypi-url]
+
+[travis-image]: https://img.shields.io/travis/Yoctol/text-normalizer.svg?style=flat
+[travis-url]: https://travis-ci.org/Yoctol/text-normalizer
+[pypi-image]: https://img.shields.io/pypi/v/text-normalizer.svg?style=flat
+[pypi-url]: https://pypi.python.org/pypi/text-normalizer
+
+Normalize your Text String. 
+It is a python package that help you normalize your text data and recover it.
+
+## Install
+Use Python3
+```
+> pip install text-normalizer
+```
+## Usage
+```python
+from text_normalizer.text_normalizer_collection_library import chinese_charactor_text_normalizer_collection_2
+
+
+input_sentence = "   我在85.33度C買了一杯900──1000元的咖啡    《ohoh》？？ m_m"
+nor_sentence, meta = chinese_charactor_text_normalizer_collection_2.normalize(input_sentence)
+print(nor_sentence)
+> "我在_float_度c買了一杯_int_-_int_元的咖啡 <ohoh>?? m_m"
+
+de_sentence = chinese_charactor_text_normalizer_collection_2.denormalize(nor_sentence, meta)
+print(de_sentence)
+> "我在85.33度C買了一杯900──1000元的咖啡 《ohoh》？？ m_m",
+
+```
+
+%package -n python3-text-normalizer
+Summary:	Yoctol Natural Language Text Normalizer
+Provides:	python-text-normalizer
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-text-normalizer
+# text-normalizer
+
+[![travis][travis-image]][travis-url]
+[![pypi][pypi-image]][pypi-url]
+
+[travis-image]: https://img.shields.io/travis/Yoctol/text-normalizer.svg?style=flat
+[travis-url]: https://travis-ci.org/Yoctol/text-normalizer
+[pypi-image]: https://img.shields.io/pypi/v/text-normalizer.svg?style=flat
+[pypi-url]: https://pypi.python.org/pypi/text-normalizer
+
+Normalize your Text String. 
+It is a python package that help you normalize your text data and recover it.
+
+## Install
+Use Python3
+```
+> pip install text-normalizer
+```
+## Usage
+```python
+from text_normalizer.text_normalizer_collection_library import chinese_charactor_text_normalizer_collection_2
+
+
+input_sentence = "   我在85.33度C買了一杯900──1000元的咖啡    《ohoh》？？ m_m"
+nor_sentence, meta = chinese_charactor_text_normalizer_collection_2.normalize(input_sentence)
+print(nor_sentence)
+> "我在_float_度c買了一杯_int_-_int_元的咖啡 <ohoh>?? m_m"
+
+de_sentence = chinese_charactor_text_normalizer_collection_2.denormalize(nor_sentence, meta)
+print(de_sentence)
+> "我在85.33度C買了一杯900──1000元的咖啡 《ohoh》？？ m_m",
+
+```
+
+%package help
+Summary:	Development documents and examples for text-normalizer
+Provides:	python3-text-normalizer-doc
+%description help
+# text-normalizer
+
+[![travis][travis-image]][travis-url]
+[![pypi][pypi-image]][pypi-url]
+
+[travis-image]: https://img.shields.io/travis/Yoctol/text-normalizer.svg?style=flat
+[travis-url]: https://travis-ci.org/Yoctol/text-normalizer
+[pypi-image]: https://img.shields.io/pypi/v/text-normalizer.svg?style=flat
+[pypi-url]: https://pypi.python.org/pypi/text-normalizer
+
+Normalize your Text String. 
+It is a python package that help you normalize your text data and recover it.
+
+## Install
+Use Python3
+```
+> pip install text-normalizer
+```
+## Usage
+```python
+from text_normalizer.text_normalizer_collection_library import chinese_charactor_text_normalizer_collection_2
+
+
+input_sentence = "   我在85.33度C買了一杯900──1000元的咖啡    《ohoh》？？ m_m"
+nor_sentence, meta = chinese_charactor_text_normalizer_collection_2.normalize(input_sentence)
+print(nor_sentence)
+> "我在_float_度c買了一杯_int_-_int_元的咖啡 <ohoh>?? m_m"
+
+de_sentence = chinese_charactor_text_normalizer_collection_2.denormalize(nor_sentence, meta)
+print(de_sentence)
+> "我在85.33度C買了一杯900──1000元的咖啡 《ohoh》？？ m_m",
+
+```
+
+%prep
+%autosetup -n text-normalizer-0.1.3
+
+%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-text-normalizer -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.3-1
+- Package Spec generated
diff --git a/sources b/sources
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--- /dev/null
+++ b/sources
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+b4d12dad0a37b0af808d3cec428f040d  text-normalizer-0.1.3.tar.gz