2 unstable releases
| 0.1.0 | Mar 10, 2020 |
|---|---|
| 0.0.6 | Feb 6, 2020 |
#2083 in Algorithms
208 downloads per month
Used in 17 crates
(via gchemol-neighbors)
1.5MB
545 lines
This is my first crate for learning Rust.
Performance
test data: examples/data/3wu2.xyz, coordinates of 51053 particles extracted from a PDB file 3wu2
How to to reproduce
rust-octree (v0.0.6):
RAYON_NUM_THREADS=1 cargo run --example demo --release
scipy-ckdtree(v1.3.2):
ipython> edit scripts/bench.py
ipython> %timeit -n 10 run_test()
Related crates
References
- Behley, J.; Steinhage, V.; Cremers, A. B. Efficient Radius Neighbor Search in Three-Dimensional Point Clouds. In 2015 IEEE International Conference on Robotics and Automation (ICRA); 2015; pp 3625–3630.
- scipy.spatial.cKDTree — SciPy Reference Guide
- storpipfugl/pykdtree: Fast kd-tree implementation in Python