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Merged
basnijholt merged 1 commit into from
Jun 10, 2026
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chore: bump version to 0.3.0 #14

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2 changes: 1 addition & 1 deletion Cargo.lock
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2 changes: 1 addition & 1 deletion Cargo.toml
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
[package]
name = "adaptive-triangulation"
version = "0.2.1"
version = "0.3.0"
edition = "2021"
description = "Fast N-dimensional Delaunay triangulation with incremental point insertion (Bowyer-Watson)"
license = "BSD-3-Clause"
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14 changes: 5 additions & 9 deletions README.md
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Expand Up @@ -6,7 +6,8 @@
[![License](https://img.shields.io/badge/license-BSD--3--Clause-blue.svg)](LICENSE)

Fast N-dimensional Delaunay triangulation in Rust with Python bindings (PyO3).
Drop-in replacement for [adaptive](https://github.com/python-adaptive/adaptive)'s `Triangulation` class — **30-300× faster** standalone, **~3.3×** end-to-end in `LearnerND` (where adaptive's own Python code dominates). Used automatically by adaptive ≥ 1.5 when installed.
Drop-in replacement for [adaptive](https://github.com/python-adaptive/adaptive)'s `Triangulation` class — **30-300× faster** standalone, **~3.3×** end-to-end in `LearnerND` (where adaptive's own Python code dominates).
Used automatically by adaptive ≥ 1.5 when installed.

## Performance

Expand All @@ -33,11 +34,8 @@ The end-to-end ratio is smaller than the standalone one because adaptive's own P

### Batched LearnerND APIs (not yet wired into adaptive)

`simplices_containing` and `default_loss` move two of the remaining `LearnerND`
Python hot loops into Rust. Wired in the way a future adaptive release would use
them ([`examples/learnernd_batched_apis.py`](examples/learnernd_batched_apis.py)),
they add **1.17×** (2D, 3000 pts) to **1.40×** (3D, 1500 pts) on top of the
table above, while sampling identical points.
`simplices_containing` and `default_loss` move two of the remaining `LearnerND` Python hot loops into Rust.
Wired in the way a future adaptive release would use them ([`examples/learnernd_batched_apis.py`](examples/learnernd_batched_apis.py)), they add **1.17×** (2D, 3000 pts) to **1.40×** (3D, 1500 pts) on top of the table above, while sampling identical points.

## Installation

Expand Down Expand Up @@ -73,9 +71,7 @@ Since adaptive 1.5.0 this package is detected and used automatically — no code
pip install "adaptive[rust]"
```

Per learner, the backend can be selected explicitly with
`LearnerND(..., triangulation_backend="auto" | "python" | "rust")`, or globally
with the `ADAPTIVE_TRIANGULATION_BACKEND` environment variable.
Per learner, the backend can be selected explicitly with `LearnerND(..., triangulation_backend="auto" | "python" | "rust")`, or globally with the `ADAPTIVE_TRIANGULATION_BACKEND` environment variable.

For adaptive < 1.5.0, monkey-patch the module instead:

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