pyfastnoiselite-ledfx
Note: This is a fork of the original PyFastNoiseLite maintained by the LedFx team.
Why this fork exists:
- The original project is sporadically active, and its 0.0.7 release has no Python 3.14 wheels and no sdist on PyPI
- We build against the CPython stable ABI, so one wheel per platform covers Python 3.11 and every later release
- We ship armv7l wheels for 32-bit Raspberry Pi OS
- LedFx depends on pyfastnoiselite and needs a reliable, up-to-date release
All credit for pyfastnoiselite goes to Tiziano Bettio, and for FastNoise Lite to Jordan Peck (Auburn). This fork exists solely to provide maintained releases for projects that depend on it. The build changes are offered upstream in tizilogic/PyFastNoiseLite#3.
Original project: https://github.com/tizilogic/PyFastNoiseLite\ This fork: https://github.com/LedFx/pyfastnoiselite-ledfx
A Cython wrapper for Auburn's FastNoise Lite noise generation library.
Installation
pip install pyfastnoiselite-ledfx
Binary wheels are published for CPython 3.11+ on Windows (x86_64), macOS (x86_64, arm64) and Linux glibc/musl (x86_64, aarch64, armv7l). Building from the sdist needs a C++11 compiler.
The abi3 wheels target standard (GIL-enabled) CPython. Free-threaded Python requires a separate source build. On 32-bit Raspberry Pi OS, NumPy may also need a distribution-provided package or a source build because PyPI does not provide NumPy ARMv7 wheels.
The distribution is renamed but the import name is unchanged, so it is a drop-in replacement for pyfastnoiselite. Don't install both: they provide the same module.
Note: This wrapper lacks the domain warping functionality.
Usage
from pyfastnoiselite.pyfastnoiselite import FastNoiseLite, NoiseType
# Initializing with seed
noise = FastNoiseLite(seed=1337)
# Set noise type (optional, defaults to OpenSimplex2)
noise.noise_type = NoiseType.NoiseType_OpenSimplex2S
# Get 2D noise
print(noise.get_noise(34, 22)) # 0.7130074501037598
print(noise.get_noise(100, 110)) # -0.3495847284793854
# Get 3D noise
print(noise.get_noise(95, 100, 30)) # -0.4522402286529541
import numpy as np
Xs = [3, 57, 95]
Ys = [4, 13, 100]
Zs = [0, -4, 30]
coords = np.array([Xs, Ys, Zs], dtype=np.float32)
# Generate noise for each coordinate
print(noise.gen_from_coords(coords))
For many points, gen_from_coords is much faster than calling get_noise in a Python loop. It takes a float32 array of shape (2, N) or (3, N) (read-only arrays and views are fine) and returns a float32 array of shape (N,).
For batches of 1024 points or more, gen_from_coords releases the GIL, so separate FastNoiseLite instances can generate in parallel threads. Don't change an instance's settings from another thread while it is generating.
License
This project is licensed under the MIT license. FastNoise Lite is also MIT licensed.
Metadata
Release files for pyfastnoiselite-ledfx 0.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyfastnoiselite_ledfx-0.0.9.tar.gz | 66.9 kB | Details |
Built distributions (wheels)
Total release size: 4.0 MB
Release files / pyfastnoiselite_ledfx-0.0.9.tar.gz
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| Size | 66.9 kB |
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