Metadata-Version: 2.1
Name: minilsap
Version: 0.1.1
Summary: Python module to solve the linear sum assignment problem (LSAP) efficiently
Home-page: https://github.com/ntamas/lsap
Maintainer: Tamas Nepusz
Maintainer-email: ntamas@gmail.com
License: BSD 3-Clause License
Keywords: lsap,munkres,kuhn-munkres,linear sum assignment problem
Platform: UNKNOWN
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

minilsap
========

A Python module to solve the linear sum assignment problem (LSAP) efficiently.
Extracted from SciPy, without significant modifications.

This module is useful in cases when you need an efficient LSAP solver but you
do not want to depend on the full SciPy library.

Currently, the module depends on NumPy for array management. This may be
relaxed in the future if Python's stable API gets extended with functions to
manage Python buffer objects.

License
-------

The code in this repository is licensed under the 3-clause BSD license, except
for files including a different license header.

The LSAP solver copied from SciPy is also licensed under the 3-clause BSD
license.

# Changelog

All notable changes to this project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [0.1.1] - 2022-02-07

Re-release with project name changed from `lsap` to `minilsap`.

## [0.1.0] - 2022-02-07

Initial release, based on the LSAP algorithm in SciPy 1.18.0.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
   list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its
   contributors may be used to endorse or promote products derived from
   this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.


