1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
|
%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.aliyun.com/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
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1-1
- Package Spec generated
|
