// std/compute - Parallel and background computation with proper abstraction
// Implementation: rayon (native), Web Workers (browser)
// PUBLIC API - Users interact with these functions only
/// Run a computation in parallel across multiple items
/// Native: Uses rayon for multi-threaded parallelism
/// WASM: Uses Web Workers for parallel execution
pub fn parallel<T, R>(items: Vec<T>, f: fn(T) -> R) -> Vec<R> {
// Compiler will generate platform-specific code
vec![]
}
/// Run a computation in the background (non-blocking)
/// Returns a Future that can be awaited
/// Native: Spawns a thread
/// WASM: Uses Web Worker
pub fn background<T>(f: fn() -> T) -> Future<T> {
// Compiler will generate platform-specific code
}
/// Get the number of available workers/cores
/// Native: Returns number of CPU cores
/// WASM: Returns number of Web Workers (typically CPU cores - 1)
pub fn num_workers() -> int {
// Compiler will generate platform-specific code
1
}
/// Run multiple computations in parallel and wait for all to complete
/// Native: Uses rayon's join
/// WASM: Spawns multiple Web Workers
pub fn join<A, B>(a: fn() -> A, b: fn() -> B) -> (A, B) {
// Compiler will generate platform-specific code
}
/// Map-reduce pattern: parallel map followed by reduce
/// Native: Uses rayon's par_iter + reduce
/// WASM: Distributes work across Web Workers, then reduces
pub fn map_reduce<T, R>(items: Vec<T>, map_fn: fn(T) -> R, reduce_fn: fn(R, R) -> R, initial: R) -> R {
// Compiler will generate platform-specific code
initial
}
// INTERNAL TYPES (used by compiler-generated code)
/// Future type for background computations
pub struct Future<T> {
// Internal implementation hidden from users
}
impl<T> Future<T> {
/// Wait for the computation to complete
pub fn await(self) -> T {
// Compiler will generate platform-specific code
}
/// Check if the computation is complete
pub fn is_ready(&self) -> bool {
// Compiler will generate platform-specific code
false
}
}