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.
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Release files for pyfr 3.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pyfr-3.1.tar.gz | 531.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyfr-3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.2 MB
Release files / pyfr-3.1.tar.gz
| Download URL | pyfr-3.1.tar.gz |
|---|---|
| Size | 531.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
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Release files / pyfr-3.1-py3-none-any.whl
| Download URL | pyfr-3.1-py3-none-any.whl |
|---|---|
| Size | 668.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
0d63366519fdf09d1f937056771c6904d74462b08b42ec0cda65da30470d05da
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
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Security for pyfr 3.1
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