Super Simplex
Description
This is a library dedicated to a Python port of KurtSpencer's Super Simplex Noise implementation.
Installation
pip install super_simplex
Usage
Generate 2D noise value for 1 seed:
import super_simplex
noise = super_simplex.noise_2d(
x = 0.1,
y = 0.1,
perm = super_simplex.gen_permu(seed = 384714386)[0]
)
print(noise[0])
Generate 2D noise value for 2 seed using a generator:
import super_simplex
generator = super_simplex.Gener(
[384714386, 983475466]
)
print(generator.noise_2d(0.1, 0.1))
Credits
All credit goes to Kurt Spencer for the original C# implementation.
1 maintainer
Metadata
1 maintainer
Release files for super-simplex 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| super_simplex-1.0.1.tar.gz | 13.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| super_simplex-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.4 kB
Release files / super_simplex-1.0.1.tar.gz
| Download URL | super_simplex-1.0.1.tar.gz |
|---|---|
| Size | 13.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/6.1.0 CPython/3.12.4
|
Release files / super_simplex-1.0.1-py3-none-any.whl
| Download URL | super_simplex-1.0.1-py3-none-any.whl |
|---|---|
| Size | 23.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.12.4
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