| Name | pypolyline JSON |
| Version |
0.5.4
JSON |
| download |
| home_page | None |
| Summary | Fast Google Polyline encoding and decoding using Rust FFI |
| upload_time | 2024-10-10 16:33:59 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | # Blue Oak Model License Version 1.0.0 ## Purpose This license gives everyone as much permission to work with this software as possible, while protecting contributors from liability. ## Acceptance In order to receive this license, you must agree to its rules. The rules of this license are both obligations under that agreement and conditions to your license. You must not do anything with this software that triggers a rule that you cannot or will not follow. ## Copyright Each contributor licenses you to do everything with this software that would otherwise infringe that contributor's copyright in it. ## Notices You must ensure that everyone who gets a copy of any part of this software from you, with or without changes, also gets the text of this license or a link to <https://blueoakcouncil.org/license/1.0.0>. ## Excuse If anyone notifies you in writing that you have not complied with [Notices](#notices), you can keep your license by taking all practical steps to comply within 30 days after the notice. If you do not do so, your license ends immediately. ## Patent Each contributor licenses you to do everything with this software that would otherwise infringe any patent claims they can license or become able to license. ## Reliability No contributor can revoke this license. ## No Liability ***As far as the law allows, this software comes as is, without any warranty or condition, and no contributor will be liable to anyone for any damages related to this software or this license, under any kind of legal claim.*** |
| keywords |
geo
polyline
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
 [](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`
### Supported Python Versions
- Python 3.9
- Python 3.10
- Python 3.11
- Python 3.12
- Python 3.13
### 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)
```
## Error Handling
Failure to encode coordinates, or to decode a supplied Polyline, will raise a `RuntimeError` containing information about the invalid input.
## 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 an M2 MBP, The [pure-Python](https://pypi.org/project/polyline/) test runs in ~2500 ms, the [Flexpolyline](https://pypi.org/project/flexpolyline/) benchmark runs in ~1500 ms and The Rust + Cython benchmark runs in around 80 ms (30 x and 17.5 x faster, respectively).
## License
[The Blue Oak Model Licence 1.0.0](LICENCE.md)
## 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}
}
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"description": " [](https://coveralls.io/github/urschrei/pypolyline?branch=master) [](https://pepy.tech/project/pypolyline)[](https://zenodo.org/badge/latestdoi/63355673)\n\n# Fast Google [Polyline](https://developers.google.com/maps/documentation/utilities/polylinealgorithm) Encoding and Decoding\n\n## Installation\n`pip install pypolyline` \n\n### Supported Python Versions\n- Python 3.9\n- Python 3.10\n- Python 3.11\n- Python 3.12\n- Python 3.13\n\n### Supported Platforms\n- Linux (`manylinux*`-compatible, x86_64 and aarch64)\n- macOS (x86_64 and arm64)\n- Windows 64-bit\n\n## Usage\nCoordinates must be in (`Longitude, Latitude`) order\n\n```python\nfrom pypolyline.cutil import encode_coordinates, decode_polyline\n\ncoords = [\n [52.64125, 23.70162],\n [52.64938, 23.70154],\n [52.64957, 23.68546],\n [52.64122, 23.68549],\n [52.64125, 23.70162]\n ]\n\n# precision is 5 for Google Polyline, 6 for OSRM / Valhalla\npolyline = encode_coordinates(coords, 5)\n# polyline is 'ynh`IcftoCyq@Ne@ncBds@EEycB'\ndecoded_coords = decode_polyline(polyline, 5)\n```\n\n## Error Handling\nFailure to encode coordinates, or to decode a supplied Polyline, will raise a `RuntimeError` containing information about the invalid input.\n\n\n## How it Works\nFFI and a [Rust binary](https://github.com/urschrei/polyline-ffi)\n\n## Is It Fast\n\u2026Yes. \nYou can verify this by installing the `polyline` package, then running [`benchmarks.py`](benchmarks.py), a calibrated benchmark using `cProfile`. \nOn an M2 MBP, The [pure-Python](https://pypi.org/project/polyline/) test runs in ~2500 ms, the [Flexpolyline](https://pypi.org/project/flexpolyline/) benchmark runs in ~1500 ms and The Rust + Cython benchmark runs in around 80 ms (30 x and 17.5 x faster, respectively).\n\n## License\n[The Blue Oak Model Licence 1.0.0](LICENCE.md)\n\n## Citing `Pypolyline`\nIf 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):\n\n> H\u00fcgel, S. (2021). Pypolyline (Version X.Y.Z) [Computer software]. https://doi.org/10.5281/zenodo.5774925\n\nIn Bibtex format:\n\n\n @software{Hugel_Pypolyline_2021,\n author = {H\u00fcgel, Stephan},\n doi = {10.5281/zenodo.5774925},\n license = {MIT},\n month = {12},\n title = {{Pypolyline}},\n url = {https://github.com/urschrei/simplification},\n version = {X.Y.Z},\n year = {2021}\n }\n",
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