HDT Sampling (Hierarchical Dart Throwing)

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中文说明 (Chinese Readme)

A fast Python library implemented in Rust for generating 2D Poisson Disk point sets using the Hierarchical Dart Throwing (HDT) algorithm. Poisson Disk sampling produces points that are tightly packed but no two points are closer than a specified minimum distance, resulting in a high-quality blue noise distribution.

This implementation is based on the paper:

K. B. White, D. Cline and P. K. Egbert, "Poisson Disk Point Sets by Hierarchical Dart Throwing," 2007 IEEE Symposium on Interactive Ray Tracing, Ulm, Germany, 2007, pp. 129-132, doi: 10.1109/RT.2007.4342600. (Link to paper on BYU ScholarsArchive)

Features

  • Generates 2D Poisson Disk samples within a rectangular domain.
  • Fast implementation in Rust, callable from Python.
  • Produces maximal point sets (fills the space as much as possible according to the minimum distance rule).
  • Simple API.

Performance

On an Apple M3 Max chip, generating approximately 170,000 points in a 10000x10000 domain with a minimum distance of 20.0 takes about 0.78 seconds.

Installation

You can install the package from PyPI:

pip install hdt-sampling

Alternatively, if you have Rust and Maturin installed, you can build from source:

# Clone the repository
git clone https://github.com/Fanzzzd/hdt_sampling.git
cd hdt_sampling

# Install maturin (if you don't have it)
# pip install maturin

# Build and install in your current Python environment
maturin develop --release
# Or build a wheel for distribution
# maturin build --release

Usage

import time
import matplotlib.pyplot as plt
from hdt_sampling import HDTSampler

# --- Parameters ---
width = 1000.0  # Domain width
height = 1000.0 # Domain height
min_dist = 15.0 # Minimum distance between points

# --- Generate Points ---
print("Initializing HDT sampler...")
start_init = time.time()
sampler = HDTSampler(width, height, min_dist)
end_init = time.time()
print(f"Initialization took: {end_init - start_init:.4f} seconds")

print("Generating points...")
start_gen = time.time()
points = sampler.generate() # Returns a list of (x, y) tuples
end_gen = time.time()
print(f"Generation took: {end_gen - start_gen:.4f} seconds")
print(f"Generated {len(points)} points.")

# --- Plotting ---
if points:
    x_coords, y_coords = zip(*points)

    plt.figure(figsize=(8, 8))
    plt.scatter(x_coords, y_coords, s=5, c='blue', alpha=0.7)
    plt.xlim(0, width)
    plt.ylim(0, height)
    plt.xlabel("X")
    plt.ylabel("Y")
    plt.title(f"Poisson Disk Points (r={min_dist}) - {len(points)} points")
    plt.gca().set_aspect('equal', adjustable='box')
    plt.grid(True, linestyle='--', alpha=0.4)
    plt.show()
else:
    print("No points were generated.")

See the example/example.ipynb file for a more detailed example including Fourier analysis plots.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for fanzzzd from gravatar.com fanzzzd

Requires

Python >=3.8

Classifiers

Report project as malware

Release files for hdt-sampling 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hdt-sampling 0.2.0
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hdt_sampling-0.2.0.tar.gz 335.5 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for hdt-sampling 0.2.0
File
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hdt_sampling-0.2.0-cp38-cp38-musllinux_1_2_i686.whl 473.6 kB CPython 3.8 CPython 3.8 Linux musl 1.2+ x86-32 Details
hdt_sampling-0.2.0-cp38-cp38-musllinux_1_2_armv7l.whl 543.3 kB CPython 3.8 CPython 3.8 Linux musl 1.2+ ARMv7l Details
hdt_sampling-0.2.0-cp38-cp38-musllinux_1_2_aarch64.whl 456.9 kB CPython 3.8 CPython 3.8 Linux musl 1.2+ ARM64 Details
hdt_sampling-0.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 277.7 kB CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-64 Details
hdt_sampling-0.2.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl 315.9 kB CPython 3.8 CPython 3.8 Linux glibc 2.17+ IBM System/390x Details
hdt_sampling-0.2.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 337.1 kB CPython 3.8 CPython 3.8 Linux glibc 2.17+ PowerPC 64-le Details
hdt_sampling-0.2.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl 280.5 kB CPython 3.8 CPython 3.8 Linux glibc 2.17+ ARMv7l Details
hdt_sampling-0.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 278.2 kB CPython 3.8 CPython 3.8 Linux glibc 2.17+ ARM64 Details
hdt_sampling-0.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl 294.1 kB CPython 3.8 CPython 3.8 Linux glibc 2.5+ x86-32 Details

Total release size: 39.2 MB

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Release files / hdt_sampling-0.2.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl

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Release files / hdt_sampling-0.2.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl

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