# PyFR

**Repository Path**: wangyue0426/PyFR

## Basic Information

- **Project Name**: PyFR
- **Description**:  PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh.
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: develop
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-04
- **Last Updated**: 2024-06-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PyFR

## Overview

PyFR is an open-source Python based framework for solving advection-diffusion
type problems on streaming architectures using the Flux Reconstruction
approach of Huynh. The framework is designed to solve a range of governing
systems on mixed unstructured grids containing various element types. It is
also designed to target a range of hardware platforms via use of an in-built
domain specific language derived from the Mako templating engine.

## Examples

Test cases are available in the
[PyFR-Test-Cases](https://github.com/PyFR/PyFR-Test-Cases) repository.

## Contributing

To contribute to PyFR please follow the steps listed below:

1. Fork this repository to your GitHub account
2. Create a new branch in your forked repository
3. Make changes in your new branch
4. Submit your changes by creating a Pull Request to the `develop` branch of the original PyFR repository

Modifications to the `develop` branch are eventually merged into the master
branch for a new release.

## Help and Community

Information on the usage and structure of PyFR can be found in the 
[documentation](http://pyfr.readthedocs.io/en/latest/).

For further help in developing and using PyFR, or to connect with the wider
community of users, please go to the [PyFR Discourse](https://pyfr.discourse.group). 

## Authors

See the AUTHORS file.

## License

PyFR is released under the New BSD License (see the LICENSE file for details).
Documentation is made available under a Creative Commons Attribution 4.0
license (see <http://creativecommons.org/licenses/by/4.0/>).