Skip to main content

Abstraction layer for running numerical hydrodynamics software

Project description

Abstraction layer for running numerical hydrodynamics software

jelly is supposed to abstract away the technical complexities of running numerical moving-mesh hydrodynamics simulations using Arepo. It generates input files and wraps the invocation of simulation runs.

Code status

https://travis-ci.org/aepsil0n/jelly.png?branch=master https://coveralls.io/repos/aepsil0n/jelly/badge.png?branch=master

Examples

There are a couple of examples in the examples/ directory in the form of simple Python scripts. Note that you need to have jelly in your Python path to run them.

Tests

We use nosetests for unit testing.

To run the tests install the nose package and call nosetests from the base directory.

You can also install and use tox to run the tests for different python versions.

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

jelly-0.1.0.tar.gz (11.9 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