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
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
|
%global _empty_manifest_terminate_build 0
Name: python-pypolyline
Version: 0.3.1
Release: 1
Summary: Fast Google Polyline encoding and decoding using Rust FFI
License: MIT
URL: https://github.com/urschrei/pypolyline
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/45/a4/6521d5b6ba678523fbda227fd3453a10debbf5e9da073d2ac046594cf2a5/pypolyline-0.3.1.tar.gz
Requires: python3-numpy
Requires: python3-cython
Requires: python3-pytest
Requires: python3-pytest
%description
 [](https://coveralls.io/github/urschrei/pypolyline?branch=master) [](https://pepy.tech/project/pypolyline)[](https://zenodo.org/badge/latestdoi/63355673)
# Fast Google [Polyline](https://developers.google.com/maps/documentation/utilities/polylinealgorithm) Encoding and Decoding
## Installation
`pip install pypolyline`
Please use a recent (>= 8.1.2) version of `pip`.
### Supported Python Versions
- Python 3.7
- Python 3.8
- Python 3.9
- Python 3.10
### Supported Platforms
- Linux (`manylinux*`-compatible, x86_64 and aarch64)
- macOS (x86_64 and arm64)
- Windows 64-bit
## Usage
Coordinates must be in (`Longitude, Latitude`) order
```python
from pypolyline.cutil import encode_coordinates, decode_polyline
coords = [
[52.64125, 23.70162],
[52.64938, 23.70154],
[52.64957, 23.68546],
[52.64122, 23.68549],
[52.64125, 23.70162]
]
# precision is 5 for Google Polyline, 6 for OSRM / Valhalla
polyline = encode_coordinates(coords, 5)
# polyline is 'ynh`IcftoCyq@Ne@ncBds@EEycB'
decoded_coords = decode_polyline(polyline, 5)
```
## Cython Module 🔥
If you're comfortable with a lack of built-in exceptions, you should use the compiled Cython version of the functions, giving a 3x speedup over the `ctypes` functions:
```python
from pypolyline.cutil import encode_coordinates, decode_polyline
```
- Longitude errors will return strings beginning with `Longitude error:`
- Latitude errors will return strings beginning with `Latitude error:`
- Polyline errors will return `[[nan, nan]]`
Otherwise, import from `util` instead, for a slower, `ctypes`-based interface. Attempts to decode an invalid Polyline will throw `util.EncodingError`
Attempts to encode invalid coordinates will throw `util.DecodingError`
## How it Works
FFI and a [Rust binary](https://github.com/urschrei/polyline-ffi)
## Is It Fast
…Yes.
You can verify this by installing the `polyline` package, then running [`benchmarks.py`](benchmarks.py), a calibrated benchmark using `cProfile`.
On a 1.8 GHz Intel Core i7, The pure-Python test runs in ~5000 ms and The Rust + Cython benchmark runs in around 300 ms (177 % faster).
## License
[MIT](license.txt)
## Citing `Pypolyline`
If Pypolyline has been significant in your research, and you would like to acknowledge the project in your academic publication, we suggest citing it as follows (example in APA style, 7th edition):
> Hügel, S. (2021). Pypolyline (Version X.Y.Z) [Computer software]. https://doi.org/10.5281/zenodo.5774925
In Bibtex format:
@software{Hugel_Pypolyline_2021,
author = {Hügel, Stephan},
doi = {10.5281/zenodo.5774925},
license = {MIT},
month = {12},
title = {{Pypolyline}},
url = {https://github.com/urschrei/simplification},
version = {X.Y.Z},
year = {2021}
}
%package -n python3-pypolyline
Summary: Fast Google Polyline encoding and decoding using Rust FFI
Provides: python-pypolyline
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-pypolyline
 [](https://coveralls.io/github/urschrei/pypolyline?branch=master) [](https://pepy.tech/project/pypolyline)[](https://zenodo.org/badge/latestdoi/63355673)
# Fast Google [Polyline](https://developers.google.com/maps/documentation/utilities/polylinealgorithm) Encoding and Decoding
## Installation
`pip install pypolyline`
Please use a recent (>= 8.1.2) version of `pip`.
### Supported Python Versions
- Python 3.7
- Python 3.8
- Python 3.9
- Python 3.10
### Supported Platforms
- Linux (`manylinux*`-compatible, x86_64 and aarch64)
- macOS (x86_64 and arm64)
- Windows 64-bit
## Usage
Coordinates must be in (`Longitude, Latitude`) order
```python
from pypolyline.cutil import encode_coordinates, decode_polyline
coords = [
[52.64125, 23.70162],
[52.64938, 23.70154],
[52.64957, 23.68546],
[52.64122, 23.68549],
[52.64125, 23.70162]
]
# precision is 5 for Google Polyline, 6 for OSRM / Valhalla
polyline = encode_coordinates(coords, 5)
# polyline is 'ynh`IcftoCyq@Ne@ncBds@EEycB'
decoded_coords = decode_polyline(polyline, 5)
```
## Cython Module 🔥
If you're comfortable with a lack of built-in exceptions, you should use the compiled Cython version of the functions, giving a 3x speedup over the `ctypes` functions:
```python
from pypolyline.cutil import encode_coordinates, decode_polyline
```
- Longitude errors will return strings beginning with `Longitude error:`
- Latitude errors will return strings beginning with `Latitude error:`
- Polyline errors will return `[[nan, nan]]`
Otherwise, import from `util` instead, for a slower, `ctypes`-based interface. Attempts to decode an invalid Polyline will throw `util.EncodingError`
Attempts to encode invalid coordinates will throw `util.DecodingError`
## How it Works
FFI and a [Rust binary](https://github.com/urschrei/polyline-ffi)
## Is It Fast
…Yes.
You can verify this by installing the `polyline` package, then running [`benchmarks.py`](benchmarks.py), a calibrated benchmark using `cProfile`.
On a 1.8 GHz Intel Core i7, The pure-Python test runs in ~5000 ms and The Rust + Cython benchmark runs in around 300 ms (177 % faster).
## License
[MIT](license.txt)
## Citing `Pypolyline`
If Pypolyline has been significant in your research, and you would like to acknowledge the project in your academic publication, we suggest citing it as follows (example in APA style, 7th edition):
> Hügel, S. (2021). Pypolyline (Version X.Y.Z) [Computer software]. https://doi.org/10.5281/zenodo.5774925
In Bibtex format:
@software{Hugel_Pypolyline_2021,
author = {Hügel, Stephan},
doi = {10.5281/zenodo.5774925},
license = {MIT},
month = {12},
title = {{Pypolyline}},
url = {https://github.com/urschrei/simplification},
version = {X.Y.Z},
year = {2021}
}
%package help
Summary: Development documents and examples for pypolyline
Provides: python3-pypolyline-doc
%description help
 [](https://coveralls.io/github/urschrei/pypolyline?branch=master) [](https://pepy.tech/project/pypolyline)[](https://zenodo.org/badge/latestdoi/63355673)
# Fast Google [Polyline](https://developers.google.com/maps/documentation/utilities/polylinealgorithm) Encoding and Decoding
## Installation
`pip install pypolyline`
Please use a recent (>= 8.1.2) version of `pip`.
### Supported Python Versions
- Python 3.7
- Python 3.8
- Python 3.9
- Python 3.10
### Supported Platforms
- Linux (`manylinux*`-compatible, x86_64 and aarch64)
- macOS (x86_64 and arm64)
- Windows 64-bit
## Usage
Coordinates must be in (`Longitude, Latitude`) order
```python
from pypolyline.cutil import encode_coordinates, decode_polyline
coords = [
[52.64125, 23.70162],
[52.64938, 23.70154],
[52.64957, 23.68546],
[52.64122, 23.68549],
[52.64125, 23.70162]
]
# precision is 5 for Google Polyline, 6 for OSRM / Valhalla
polyline = encode_coordinates(coords, 5)
# polyline is 'ynh`IcftoCyq@Ne@ncBds@EEycB'
decoded_coords = decode_polyline(polyline, 5)
```
## Cython Module 🔥
If you're comfortable with a lack of built-in exceptions, you should use the compiled Cython version of the functions, giving a 3x speedup over the `ctypes` functions:
```python
from pypolyline.cutil import encode_coordinates, decode_polyline
```
- Longitude errors will return strings beginning with `Longitude error:`
- Latitude errors will return strings beginning with `Latitude error:`
- Polyline errors will return `[[nan, nan]]`
Otherwise, import from `util` instead, for a slower, `ctypes`-based interface. Attempts to decode an invalid Polyline will throw `util.EncodingError`
Attempts to encode invalid coordinates will throw `util.DecodingError`
## How it Works
FFI and a [Rust binary](https://github.com/urschrei/polyline-ffi)
## Is It Fast
…Yes.
You can verify this by installing the `polyline` package, then running [`benchmarks.py`](benchmarks.py), a calibrated benchmark using `cProfile`.
On a 1.8 GHz Intel Core i7, The pure-Python test runs in ~5000 ms and The Rust + Cython benchmark runs in around 300 ms (177 % faster).
## License
[MIT](license.txt)
## Citing `Pypolyline`
If Pypolyline has been significant in your research, and you would like to acknowledge the project in your academic publication, we suggest citing it as follows (example in APA style, 7th edition):
> Hügel, S. (2021). Pypolyline (Version X.Y.Z) [Computer software]. https://doi.org/10.5281/zenodo.5774925
In Bibtex format:
@software{Hugel_Pypolyline_2021,
author = {Hügel, Stephan},
doi = {10.5281/zenodo.5774925},
license = {MIT},
month = {12},
title = {{Pypolyline}},
url = {https://github.com/urschrei/simplification},
version = {X.Y.Z},
year = {2021}
}
%prep
%autosetup -n pypolyline-0.3.1
%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-pypolyline -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.1-1
- Package Spec generated
|
