Crate salib_core 

salib-core — foundational types for the salib sensitivity-analysis library.

Owns the experiment-level vocabulary that every other salib crate composes against: Problem, Factor, the closed Distribution enum, rng::RngState (multi-stream ChaCha20 with deterministic salt-derived forking), and the reduce primitives (reduce::tree_sum, reduce::tree_dot, reduce::tree_var and their par_ variants).

Same architectural family as Python’s SALib, R’s sensitivity, and MATLAB’s UQLab.

Determinism

salib-core is the determinism floor every sampler and estimator stands on:

• rng::RngState is a serializable RNG identity. Recording it lets a verifier reconstruct any SA campaign’s RNG stream.
• reduce reductions defeat the float-associativity nondeterminism that naive par_iter().sum() over f64 produces under rayon. Bit-identical regardless of thread count.

Re-exports

pub use distribution::Distribution;

pub use problem::BuildError;

pub use problem::Factor;

pub use problem::FactorKind;

pub use problem::Group;

pub use problem::Problem;

pub use problem::ProblemBuilder;

pub use reduce::par_tree_dot;

pub use reduce::par_tree_sum;

pub use reduce::par_tree_var;

pub use reduce::tree_dot;

pub use reduce::tree_sum;

pub use reduce::tree_var;

pub use reduce::BLOCK;

pub use rng::RngAlgorithm;

pub use rng::RngState;

Modules

distribution

Distribution — closed enum of factor distributions, with inverse-CDF (quantile) and support boundaries as the unified extension point.

problem

Problem — the declarative, content-addressable description of an SA campaign’s input space. Vector of factors, each with a name, distribution, and kind (continuous / discrete / categorical / boolean).

reduce

Deterministic f64 reductions for saltelli — fixed-tree pairwise folds whose output is bit-identical regardless of rayon partitioning.

rng

RngState — multi-stream ChaCha20 with deterministic salt-derived forking. The replay-determinism foundation for every salib sampler and estimator.