Module cached_function 

Cached function wrapper for expensive function evaluations.

CachedFunction wraps a user-supplied function Fn(&[I]) -> V with thread-safe memoization. On first call for a given multi-index, the function is evaluated and the result is cached; subsequent calls return the cached value.

The internal cache key type is automatically selected based on the total index space size (up to 1024 bits by default). For larger index spaces, use CachedFunction::with_key_type with a custom CacheKey implementation.

Examples

use tensor4all_tcicore::CachedFunction;

let cf = CachedFunction::new(
    |idx: &[usize]| idx[0] + idx[1],
    &[3, 4],
).unwrap();

assert_eq!(cf.eval(&[1, 2]), 3);
assert_eq!(cf.num_evals(), 1);
assert_eq!(cf.eval(&[1, 2]), 3);
assert_eq!(cf.num_cache_hits(), 1);

Modules

cache_key

Cache key trait for flat-index computation.

error

Error types for cache key operations.

index_int

Index integer trait for multi-index elements.

Structs

CachedFunction

A wrapper that caches function evaluations for multi-index inputs.