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ix-benchmark
Benchmark and compare ix algorithm performance
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
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Benchmark and compare ix algorithm performance
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Test model robustness with adversarial attacks and defenses
Multi-armed bandit simulation — epsilon-greedy, UCB1, Thompson sampling
Embedded Redis-like cache with TTL, LRU, pub/sub, and RESP protocol
Category theory primitives — monad laws verification, free-forgetful adjunction
Chaos theory analysis — Lyapunov exponents, bifurcation, attractors, fractals
Cluster data using K-Means or DBSCAN
| name | ix-benchmark |
| description | Benchmark and compare ix algorithm performance |
| disable-model-invocation | true |
Profile and compare algorithm performance across the ix workspace.
When the user wants to know which algorithm is fastest, measure scaling behavior, or compare approaches.
std::time::Instant for wall-clock timinguse std::time::Instant;
// Time an operation
let start = Instant::now();
let result = expensive_operation();
let elapsed = start.elapsed();
eprintln!("Took {:?}", elapsed);
// Compare methods
for method in ["sgd", "adam", "pso", "annealing"] {
let start = Instant::now();
// run optimization with method...
eprintln!("{}: {:?}", method, start.elapsed());
}
Use ix-cache to persist benchmark results across sessions:
use ix_cache::store::Cache;
let cache = Cache::default_cache();
cache.set("bench:optimize:sphere:pso", &elapsed_ms);