| Name | levdist JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | Package to calculate the Levenstein distance |
| upload_time | 2024-12-14 14:45:16 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT |
| keywords |
levenstein
edit distance
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# levdist
[](https://pypi.org/project/levdist/)
[](https://pypi.org/project/levdist/)
[](https://pypi.org/project/levdist/)
[](https://codecov.io/gh/derlih/levdist)
A Python package to calculate the Levenstein distance algorithm implementation with non-GPL license, typing and speedups.
The implementation is based on code samples from [Levenstein Wiki](https://en.wikipedia.org/wiki/Levenshtein_distance).
## Installation
`pip install levdist`
## Usage
```python
from levdist import levenshtein
distance = levenstein("dog", "cat")
```
## Development
#### Setup
1. Install PDM using [this](https://pdm-project.org/latest/#installation) documentation
2. Install development dependencies `pdm install`
3. Install `pre-commit` hooks `pre-commit install`
#### Testing
This project is using `pytest` for unit testing.
To run the test you need to run `pdm test`
In addition to that you can lint your code using `pdm lint` and check the typing by `pdm mypy`.
#### Type checks
`mypy` is configured to run in strict mode for files in `src` folder. Typing is not checked in `tests` folder.
#### CI
##### PR checks
Each PR run GitHub actions for all actual Python versions to check if native extension is built and tests pass.
Also formatting and typing will be checked.
The coverage is published to CodeCov.
##### Dependency updates
To update dependencies and `pre-commit` hooks there is a GHA job that is scheduled to run weekly.
##### Release
To create a release, create a tag `v<MAJOR>.<MINOR>.<PATCH>`. The [release](https://github.com/derlih/levenshtein-py/releases) will be created with the source code and wheels.
## Benchmark
The benchmark of this package can be run using `pdm benchmark` command. It compare its speed with other Python implementations.
Check the [BENCHMARK.md](BENCHMARK.md) for the latest measurements.
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"description": "# levdist\n\n[](https://pypi.org/project/levdist/)\n[](https://pypi.org/project/levdist/)\n[](https://pypi.org/project/levdist/)\n\n\n[](https://codecov.io/gh/derlih/levdist)\n\nA Python package to calculate the Levenstein distance algorithm implementation with non-GPL license, typing and speedups.\nThe implementation is based on code samples from [Levenstein Wiki](https://en.wikipedia.org/wiki/Levenshtein_distance).\n\n## Installation\n\n`pip install levdist`\n\n## Usage\n\n```python\nfrom levdist import levenshtein\n\ndistance = levenstein(\"dog\", \"cat\")\n```\n\n## Development\n\n#### Setup\n\n1. Install PDM using [this](https://pdm-project.org/latest/#installation) documentation\n2. Install development dependencies `pdm install`\n3. Install `pre-commit` hooks `pre-commit install`\n\n#### Testing\n\nThis project is using `pytest` for unit testing.\nTo run the test you need to run `pdm test`\nIn addition to that you can lint your code using `pdm lint` and check the typing by `pdm mypy`.\n\n#### Type checks\n\n`mypy` is configured to run in strict mode for files in `src` folder. Typing is not checked in `tests` folder.\n\n#### CI\n\n##### PR checks\n\nEach PR run GitHub actions for all actual Python versions to check if native extension is built and tests pass.\nAlso formatting and typing will be checked.\n\nThe coverage is published to CodeCov.\n\n##### Dependency updates\n\nTo update dependencies and `pre-commit` hooks there is a GHA job that is scheduled to run weekly.\n\n##### Release\n\nTo create a release, create a tag `v<MAJOR>.<MINOR>.<PATCH>`. The [release](https://github.com/derlih/levenshtein-py/releases) will be created with the source code and wheels.\n\n## Benchmark\n\nThe benchmark of this package can be run using `pdm benchmark` command. It compare its speed with other Python implementations.\nCheck the [BENCHMARK.md](BENCHMARK.md) for the latest measurements.\n",
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