automatic import of python-cities

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diff --git a/.gitignore b/.gitignore
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+/Cities-1.1.tar.gz
diff --git a/python-cities.spec b/python-cities.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-Cities
+Version:	1.1
+Release:	1
+Summary:	Cities is a simple tool for searching cities located at a given longitude and latitude range.
+License:	MIT
+URL:		https://github.com/131250208/Cities
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/dd/1a/ba1b720771c22ea6f20023c5e244978d5c1d8b832fab3005a490350a39b5/Cities-1.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pyprind
+Requires:	python3-numpy
+
+%description
+
+Cities is a simple tool for searching cities located at a given longitude and latitude range or a given region(country, state, province). 
+All the cities returned are sorted by the importance of a city and the population density.
+
+# Install
+```commandline
+pip install Cities
+```
+
+# Features
+1. fast(less than 0.01s for each retrieving), simple and convenient.
+2. cover all the cities around the world.
+3. the author is cute.
+
+# Required File
+Download  the [city data](https://pan.baidu.com/s/10qjtq9jl7tLxXeypfJCrEg) and put it at any directory you want. Remember to set the path up when you initiate an instance.
+
+# Example
+```python
+from Cities import cities_retriever
+
+cr = cities_retriever.CitiesRetrieverByRect("Sources/dict_all_cities_rect2cities.json")
+cities = cr.retrieve_cities(lon_start=-124.71, lon_end=-77.21, lat_start=25.24, lat_end=44.75, num=500) # num is optional, default: 999999
+print(cities)
+print(len(cities))
+
+cr = cities_retriever.CitiesRetrieverByRegionName("Sources/dict_all_cities_region2cities.json")
+cities = cr.retrieve_cities(country="United States", region="Washington", num=500) # region and num are optional
+print(cities)
+print(len(cities))
+```
+# Note
+the bigger the dict file is, the longer the loading time is.
+## 4million cities --- 12s
+1. dict_all_cities_region2cities.json
+2. dict_all_cities_rect2cities.json
+## 8000 cities --- < 1s
+1. dict_cities_8000_region2cities.json
+2. dict_cities_8000_rect2cities.json
+
+
+
+%package -n python3-Cities
+Summary:	Cities is a simple tool for searching cities located at a given longitude and latitude range.
+Provides:	python-Cities
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-Cities
+
+Cities is a simple tool for searching cities located at a given longitude and latitude range or a given region(country, state, province). 
+All the cities returned are sorted by the importance of a city and the population density.
+
+# Install
+```commandline
+pip install Cities
+```
+
+# Features
+1. fast(less than 0.01s for each retrieving), simple and convenient.
+2. cover all the cities around the world.
+3. the author is cute.
+
+# Required File
+Download  the [city data](https://pan.baidu.com/s/10qjtq9jl7tLxXeypfJCrEg) and put it at any directory you want. Remember to set the path up when you initiate an instance.
+
+# Example
+```python
+from Cities import cities_retriever
+
+cr = cities_retriever.CitiesRetrieverByRect("Sources/dict_all_cities_rect2cities.json")
+cities = cr.retrieve_cities(lon_start=-124.71, lon_end=-77.21, lat_start=25.24, lat_end=44.75, num=500) # num is optional, default: 999999
+print(cities)
+print(len(cities))
+
+cr = cities_retriever.CitiesRetrieverByRegionName("Sources/dict_all_cities_region2cities.json")
+cities = cr.retrieve_cities(country="United States", region="Washington", num=500) # region and num are optional
+print(cities)
+print(len(cities))
+```
+# Note
+the bigger the dict file is, the longer the loading time is.
+## 4million cities --- 12s
+1. dict_all_cities_region2cities.json
+2. dict_all_cities_rect2cities.json
+## 8000 cities --- < 1s
+1. dict_cities_8000_region2cities.json
+2. dict_cities_8000_rect2cities.json
+
+
+
+%package help
+Summary:	Development documents and examples for Cities
+Provides:	python3-Cities-doc
+%description help
+
+Cities is a simple tool for searching cities located at a given longitude and latitude range or a given region(country, state, province). 
+All the cities returned are sorted by the importance of a city and the population density.
+
+# Install
+```commandline
+pip install Cities
+```
+
+# Features
+1. fast(less than 0.01s for each retrieving), simple and convenient.
+2. cover all the cities around the world.
+3. the author is cute.
+
+# Required File
+Download  the [city data](https://pan.baidu.com/s/10qjtq9jl7tLxXeypfJCrEg) and put it at any directory you want. Remember to set the path up when you initiate an instance.
+
+# Example
+```python
+from Cities import cities_retriever
+
+cr = cities_retriever.CitiesRetrieverByRect("Sources/dict_all_cities_rect2cities.json")
+cities = cr.retrieve_cities(lon_start=-124.71, lon_end=-77.21, lat_start=25.24, lat_end=44.75, num=500) # num is optional, default: 999999
+print(cities)
+print(len(cities))
+
+cr = cities_retriever.CitiesRetrieverByRegionName("Sources/dict_all_cities_region2cities.json")
+cities = cr.retrieve_cities(country="United States", region="Washington", num=500) # region and num are optional
+print(cities)
+print(len(cities))
+```
+# Note
+the bigger the dict file is, the longer the loading time is.
+## 4million cities --- 12s
+1. dict_all_cities_region2cities.json
+2. dict_all_cities_rect2cities.json
+## 8000 cities --- < 1s
+1. dict_cities_8000_region2cities.json
+2. dict_cities_8000_rect2cities.json
+
+
+
+%prep
+%autosetup -n Cities-1.1
+
+%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-Cities -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1-1
+- Package Spec generated
diff --git a/sources b/sources
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+++ b/sources
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+11c657f8f2014c44d066ce96b30a3f49  Cities-1.1.tar.gz