Skip to main content

Flux Reconstruction in Python

Project 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. 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.

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

pyfr-1.12.0.tar.gz (293.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyfr-1.12.0-py3-none-any.whl (414.1 kB view details)

Uploaded Python 3

File details

Details for the file pyfr-1.12.0.tar.gz.

File metadata

  • Download URL: pyfr-1.12.0.tar.gz
  • Upload date:
  • Size: 293.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for pyfr-1.12.0.tar.gz
Algorithm Hash digest
SHA256 b5fa60100546d7f495fc74fd2191114f878bbce06bfad88a0d8813e6b13a1d96
MD5 8f5b44a6912718f8f528086d9d77a340
BLAKE2b-256 aa0257622659cd56012deb8c65974428c4b96db2cb5d979304a77a8bd86a27fd

See more details on using hashes here.

File details

Details for the file pyfr-1.12.0-py3-none-any.whl.

File metadata

  • Download URL: pyfr-1.12.0-py3-none-any.whl
  • Upload date:
  • Size: 414.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for pyfr-1.12.0-py3-none-any.whl
Algorithm Hash digest
SHA256 58b593f80589455aeaadb6cc61ac151fccc5ee81e68cec64079680c2c1dc0c07
MD5 1b4a84b216e251361cb8936114dee33f
BLAKE2b-256 4d9a498a68398e18d72eff2ff3c7c225a2cc4354b40fe72f459fca3dd6c4ffc1

See more details on using hashes here.

Supported by

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