pub fn parallel_map<S, T, I, F>(thread_pool: &mut scoped_threadpool::Pool, items: I, f: F) -> Vec<T>
where
    S: Send,
    T: Send,
    I: Iterator<Item = S>,
    F: Fn(&S) -> T + Send + Copy,
{
    let mut items: Vec<(S, Option<T>)> = items.map(|i| (i, None)).collect();
    let threads = thread_pool.thread_count() as usize;
    let items_per_thread = ((items.len() + threads - 1) / threads).max(1);
    thread_pool.scoped(|scope| {
        for items in items.chunks_mut(items_per_thread) {
            scope.execute(move || {
                for item in items.iter_mut() {
                    item.1.replace(f(&item.0));
                }
            });
        }
    });
    items
        .into_iter()
        .map(|(_, result)| result.unwrap())
        .collect()
}
/// Applies the function to each input item in parallel and returns the results.
/// The `i`-th element of the result corresponds to the `i`-ths input, but the
/// function application order is non-deterministic and depends on the available
/// threads in the given thread-pool.
Applies the function to each input item in parallel and returns the results.
The `i`-th element of the result corresponds to the `i`-ths input, but the
function application order is non-deterministic and depends on the available
threads in the given thread-pool.
Applies the function to each input item in parallel and returns the results . The ` i ` - th element of the result corresponds to the ` i ` - ths input but the function application order is non - deterministic and depends on the available threads in the given thread - pool .
pub fn parallel_map<S, T, I, F>(thread_pool: &mut scoped_threadpool::Pool, items: I, f: F) -> Vec<T>
where
    S: Send,
    T: Send,
    I: Iterator<Item = S>,
    F: Fn(&S) -> T + Send + Copy,
{
    let mut items: Vec<(S, Option<T>)> = items.map(|i| (i, None)).collect();
    let threads = thread_pool.thread_count() as usize;
    let items_per_thread = ((items.len() + threads - 1) / threads).max(1);
    thread_pool.scoped(|scope| {
        for items in items.chunks_mut(items_per_thread) {
            scope.execute(move || {
                for item in items.iter_mut() {
                    item.1.replace(f(&item.0));
                }
            });
        }
    });
    items
        .into_iter()
        .map(|(_, result)| result.unwrap())
        .collect()
}
pub fn parallel_map < S , T , I , F > ( thread_pool : & mut scoped_threadpool :: Pool , items : I , f : F ) -> Vec < T > where S : Send , T : Send , I : Iterator < Item = S > , F : Fn ( & S ) -> T + Send + Copy , { let mut items : Vec < ( S , Option < T > ) > = items . map ( | i | ( i , None ) ) . collect ( ) ; let threads = thread_pool . thread_count ( ) as usize ; let items_per_thread = ( ( items . len ( ) + threads - 1 ) / threads ) . max ( 1 ) ; thread_pool . scoped ( | scope | { for items in items . chunks_mut ( items_per_thread ) { scope . execute ( move | | { for item in items . iter_mut ( ) { item . 1 . replace ( f ( & item . 0 ) ) ; } } ) ; } } ) ; items . into_iter ( ) . map ( | ( _ , result ) | result . unwrap ( ) ) . collect ( ) }
Applies the function to each input item in parallel and returns the results.
Applies the function to each input item in parallel and returns the results .
thread_pool
&mut scoped_threadpool::Pool
items
I
f
F
thread_pool
&mut scoped_threadpool::Pool
items
I
f
F