Skip to main content

Cython interface to HiGHS.

Project description

Cython wrappers over HiGHS. This project is a fork of the main repo: fork.

The package is available on pypi as scikit-highs and is tested on the following:

  • Ubuntu 18, gcc 7.5.0, Python 3.6.9 and 3.7

  • Windows 10, VS 2019, Python 3.8.2 x64

It has dependencies on numpy and Cython that require these to be installed before installation of scikit-highs. Once numpy and Cython are installed, install using pip like this:

pip install scikit-highs

Example usage from script:

from _highs.highs_wrapper import highs_wrapper
from _highs.highs_wrapper import CONST_INF, CONST_I_INF

# Call like this (usually using numpy arrays and A is a scipy.sparse.csc_matrix):
res = highs_wrapper(c, A.indptr, A.indices, A.data, lhs, rhs, lb, ub, options)

options is a dict that supports all options of the HiGHS C++ API.

It will take a second to compile when installing, I did not create any wheels, etc, so always compiles from source.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scikit-highs-('0.6.0',).tar.gz (671.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page