FASTLANE: A Framework for Answer Set Programming-based Large Neighborhood Search
The goal of this project is to implement an extensive and easily modifiable implementation of LNS using the tools of potassco.
Installation
The framework can be installed with any Python version newer than 3.12 using pip:
pip install potassco-fastlane
To access the latest updates and fixes you can either use:
pip install git+https://github.com/potassco/fastlane
Or alternatively build the tool yourself, which requires the setuptools
package. We recommend using conda, which includes setuptools in its default
Python installation. To build the tool manually run the following commands:
git clone https://github.com/potassco/fastlane
cd fastlane
conda create -n <env-name> python=3.14
conda activate <env-name>
pip install .
Documentation
The documentation can be accessed here or build and hosted using:
$ pip install .[doc]
$ zensical serve
Usage
You can check a successful installation by running
$ fastlane -h
Metadata
Release files for potassco-fastlane 6.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| potassco_fastlane-6.0.1.tar.gz | 115.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| potassco_fastlane-6.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 176.2 kB
Release files / potassco_fastlane-6.0.1.tar.gz
| Download URL | potassco_fastlane-6.0.1.tar.gz |
|---|---|
| Size | 115.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / potassco_fastlane-6.0.1-py3-none-any.whl
| Download URL | potassco_fastlane-6.0.1-py3-none-any.whl |
|---|---|
| Size | 60.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 24, 2026.
Transparency log