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%global _empty_manifest_terminate_build 0
Name:		python-cpca
Version:	0.5.5
Release:	1
Summary:	Chinese Province, City and Area Recognition Utilities
License:	MIT
URL:		https://github.com/DQinYuan/chinese_province_city_area_mapper
Source0:	https://mirrors.aliyun.com/pypi/web/packages/42/e6/9e74380f7449d9c765230c0093ac958989b31f0c14c3520ffa1e61429c8a/cpca-0.5.5.tar.gz
BuildArch:	noarch

Requires:	python3-pyahocorasick
Requires:	python3-pandas

%description
chinese_province_city_area_mapper:一个用于识别简体中文字符串中省,市和区并能够进行映射,检验和简单绘图的python模块
举个例子::
    ["徐汇区虹漕路461号58号楼5楼", "泉州市洛江区万安塘西工业区"]
            ↓ 转换
   |省    |市   |区    |地址                 |
   |上海市|上海市|徐汇区|虹漕路461号58号楼5楼  |
   |福建省|泉州市|洛江区|万安塘西工业区        |
chinese_province_city_area_mapper: built to be recognize Chinese province,city and area in simplified Chinese string, it can automaticall map area to city
and map city to province.
for example::
    ["徐汇区虹漕路461号58号楼5楼", "泉州市洛江区万安塘西工业区"]
            ↓ transform
   |省    |市   |区    |地址                 |
   |上海市|上海市|徐汇区|虹漕路461号58号楼5楼  |
   |福建省|泉州市|洛江区|万安塘西工业区        |
完整文档见该模块的Github,
GitHub: `https://github.com/DQinYuan/chinese_province_city_area_mapper <https://github.com/DQinYuan/chinese_province_city_area_mapper>`_

%package -n python3-cpca
Summary:	Chinese Province, City and Area Recognition Utilities
Provides:	python-cpca
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-cpca
chinese_province_city_area_mapper:一个用于识别简体中文字符串中省,市和区并能够进行映射,检验和简单绘图的python模块
举个例子::
    ["徐汇区虹漕路461号58号楼5楼", "泉州市洛江区万安塘西工业区"]
            ↓ 转换
   |省    |市   |区    |地址                 |
   |上海市|上海市|徐汇区|虹漕路461号58号楼5楼  |
   |福建省|泉州市|洛江区|万安塘西工业区        |
chinese_province_city_area_mapper: built to be recognize Chinese province,city and area in simplified Chinese string, it can automaticall map area to city
and map city to province.
for example::
    ["徐汇区虹漕路461号58号楼5楼", "泉州市洛江区万安塘西工业区"]
            ↓ transform
   |省    |市   |区    |地址                 |
   |上海市|上海市|徐汇区|虹漕路461号58号楼5楼  |
   |福建省|泉州市|洛江区|万安塘西工业区        |
完整文档见该模块的Github,
GitHub: `https://github.com/DQinYuan/chinese_province_city_area_mapper <https://github.com/DQinYuan/chinese_province_city_area_mapper>`_

%package help
Summary:	Development documents and examples for cpca
Provides:	python3-cpca-doc
%description help
chinese_province_city_area_mapper:一个用于识别简体中文字符串中省,市和区并能够进行映射,检验和简单绘图的python模块
举个例子::
    ["徐汇区虹漕路461号58号楼5楼", "泉州市洛江区万安塘西工业区"]
            ↓ 转换
   |省    |市   |区    |地址                 |
   |上海市|上海市|徐汇区|虹漕路461号58号楼5楼  |
   |福建省|泉州市|洛江区|万安塘西工业区        |
chinese_province_city_area_mapper: built to be recognize Chinese province,city and area in simplified Chinese string, it can automaticall map area to city
and map city to province.
for example::
    ["徐汇区虹漕路461号58号楼5楼", "泉州市洛江区万安塘西工业区"]
            ↓ transform
   |省    |市   |区    |地址                 |
   |上海市|上海市|徐汇区|虹漕路461号58号楼5楼  |
   |福建省|泉州市|洛江区|万安塘西工业区        |
完整文档见该模块的Github,
GitHub: `https://github.com/DQinYuan/chinese_province_city_area_mapper <https://github.com/DQinYuan/chinese_province_city_area_mapper>`_

%prep
%autosetup -n cpca-0.5.5

%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-cpca -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.5-1
- Package Spec generated