Commit Graph
2 Commits
Author SHA1 Message Date
swaits 8a8c32f125 test(proptest): massive property-test expansion for every algorithm and operator
Goes from 10 properties to 50+, organized into four files:

- tests/properties.rs (existing) — Pareto-utility invariants
- tests/algorithm_properties.rs (new) — every Optimizer impl gets:
  * determinism-with-seed property
  * no-panic-on-random-valid-input property
  * population-size-as-documented property where applicable
- tests/operator_properties.rs (new) — every Variation/Initializer/
  Repair impl gets the right size + in-bounds + no-panic properties
- tests/metric_properties.rs (new) — every metric gets monotonicity
  / non-negativity / dim-checking properties
- tests/numerical_stability.rs (new) — single-point populations,
  duplicate populations, near-zero bounds, very large bounds,
  algorithms-on-flat-fitness — none of which should panic.

Total: 226 unit tests + this much-larger property suite. Strategies
are factored into a small `prop_helpers` module shared across files
so the random-input generators stay consistent.
2026-05-05 11:01:36 -06:00
swaits dcf63316f6 test(proptest): add property-based tests for invariants
Adds proptest as a dev-dependency and a `tests/properties.rs`
integration suite that probes invariants on randomly generated
inputs:

Pareto invariants:
- `pareto_compare` is anti-symmetric: A→B is opposite of B→A for
  Dominates / DominatedBy
- `pareto_compare` is reflexive on equal candidates (returns Equal)
- `pareto_front` output is internally non-dominated
- `non_dominated_sort` puts every member into exactly one front
- `crowding_distance` returns Vec same length as front; boundary
  points are infinity for fronts of size ≥ 2 in any axis-sortable
  configuration

Operator invariants:
- `SimulatedBinaryCrossover` returns 2 children of the right length,
  all in bounds
- `PolynomialMutation` returns 1 child of the right length, in bounds
- `BoundedGaussianMutation` returns 1 child in bounds
- `ClampToBounds` repair always lands in bounds
- `ProjectToSimplex` repair always sums to total and is non-negative

Algorithm invariants:
- For any seed, `Optimizer::run` is deterministic across two calls
- Final population has the documented size for population-based
  algorithms

These are the invariants the existing 226 fixed-input unit tests
collectively check; proptest gives us coverage on inputs they don't
cover individually.
2026-05-05 10:38:53 -06:00