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Merged
merged 3 commits into from
May 27, 2025
Merged

Avoid iteration on empty posteriors and prepare release #35

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4a6653d
fix: disable unused faer features
aseyboldt May 27, 2025
35aa98b
perf: shortcut for empty posteriors
aseyboldt May 27, 2025
ec9205f
chore(release): prepare bugfix release
aseyboldt May 27, 2025
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19 changes: 19 additions & 0 deletions CHANGELOG.md
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,18 @@

All notable changes to this project will be documented in this file.

## [0.16.1] - 2025-05-27

### Bug Fixes

- Disable unused faer features (Adrian Seyboldt)


### Performance

- Shortcut for empty posteriors (Adrian Seyboldt)


## [0.16.0] - 2025-05-27

### Bug Fixes
Expand All @@ -13,6 +25,8 @@ All notable changes to this project will be documented in this file.

- Bump arrow version (Adrian Seyboldt)

- Bump version and update changelog (Adrian Seyboldt)


### Performance

Expand All @@ -24,6 +38,11 @@ All notable changes to this project will be documented in this file.
- Remove simd_support feature (Adrian Seyboldt)


### Ci

- Add codecov token (Adrian Seyboldt)


## [0.15.1] - 2025-03-18

### Features
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8 changes: 2 additions & 6 deletions Cargo.toml
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
[package]
name = "nuts-rs"
version = "0.16.0"
version = "0.16.1"
authors = [
"Adrian Seyboldt <adrian.seyboldt@gmail.com>",
"PyMC Developers <pymc.devs@gmail.com>",
Expand All @@ -25,11 +25,7 @@ thiserror = "2.0.3"
arrow = { version = "55.1.0", default-features = false, features = ["ffi"] }
rand_chacha = "0.9.0"
anyhow = "1.0.72"
faer = { version = "0.22.6", default-features = false, features = [
"std",
"npy",
"linalg",
] }
faer = { version = "0.22.6", default-features = false, features = ["linalg"] }
pulp = "0.21.4"
rayon = "1.10.0"

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7 changes: 7 additions & 0 deletions src/nuts.rs
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Expand Up @@ -274,6 +274,13 @@ where
collector.register_init(math, init, options);

let mut tree = NutsTree::new(init.clone());

if math.dim() == 0 {
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Copilot AI May 27, 2025

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Consider adding a comment to explain why an early return is appropriate when math.dim() is 0. This will improve maintainability and clarity for future developers.

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let info = tree.info(false, None);
collector.register_draw(math, init, &info);
return Ok((init.clone(), info));
}

while tree.depth < options.maxdepth {
let direction: Direction = rng.random();
tree = match tree.extend(math, rng, hamiltonian, direction, collector, options) {
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