Python Fast Noise with SIMD
PyFastNoiseSIMD is a wrapper around Jordan Peck's synthetic noise library which has been accelerated with SIMD instruction sets. Parallelism is further enhanced by the use of concurrent.futures to multi-thread the generation of noise for large arrays. Thread scaling is generally in the range of 50-90%, depending largely on the vectorized instruction set used. The number of threads, defaults to the number of virtual cores on the system.
| Release | Stable | Testing | 
|---|---|---|
| Fedora Rawhide | 0.4.2-3.fc35 | - | 
| Fedora 35 | 0.4.2-3.fc35 | - | 
| Fedora 34 | 0.4.2-1.fc34 | - | 
			You can contact the maintainers of this package via email at
			python-pyfastnoisesimd dash maintainers at fedoraproject dot org.