@effect-ts/system
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Effect-TS is a zero dependency set of libraries to write highly productive, purely functional TypeScript at scale.
214 lines (193 loc) • 6.24 kB
JavaScript
// ets_tracing: off
import * as Collect from "../Collections/Immutable/Chunk/api/collect.mjs";
import * as Chunk from "../Collections/Immutable/Chunk/core.mjs";
import { identity, pipe } from "../Function/index.mjs";
import * as I from "../Iterable/index.mjs";
import * as core from "./core.mjs";
/**
* Applies the function `f` to each element of the `Iterable<A>` and
* returns the results in a new `Chunk<B>`.
*
* For a parallel version of this method, see `forEachPar`.
* If you do not need the results, see `forEachUnit` for a more efficient implementation.
*/
export function forEach_(as, f) {
return core.suspend(() => {
const acc = [];
return core.map_(forEachUnit_(as, a => core.map_(f(a), b => {
acc.push(b);
})), () => Chunk.from(acc));
});
}
/**
* Applies the function `f` to each element of the `Iterable<A>` and
* returns the results in a new `Chunk<B>`.
*
* For a parallel version of this method, see `forEachPar`.
* If you do not need the results, see `forEachUnit` for a more efficient implementation.
*
* @ets_data_first forEach_
*/
export function forEach(f) {
return as => forEach_(as, f);
}
function forEachUnitLoop(iterator, f) {
const next = iterator.next();
return next.done ? core.unit : core.chain_(f(next.value), () => forEachUnitLoop(iterator, f));
}
/**
* Applies the function `f` to each element of the `Iterable<A>` and runs
* produced effects sequentially.
*
* Equivalent to `asUnit(forEach(as, f))`, but without the cost of building
* the list of results.
*/
export function forEachUnit_(as, f) {
return core.suspend(() => forEachUnitLoop(as[Symbol.iterator](), f));
}
/**
* Applies the function `f` to each element of the `Iterable<A>` and runs
* produced effects sequentially.
*
* Equivalent to `asUnit(forEach(as, f))`, but without the cost of building
* the list of results.
*
* @ets_data_first forEachUnit_
*/
export function forEachUnit(f) {
return as => forEachUnit_(as, f);
}
/**
* Applies the function `f` to each element of the `Iterable<A>` and runs
* produced effects in parallel, discarding the results.
*
* For a sequential version of this method, see `forEach_`.
*
* Optimized to avoid keeping full tree of effects, so that method could be
* able to handle large input sequences.
*
* Additionally, interrupts all effects on any failure.
*/
export function forEachUnitPar_(as, f) {
return core.chain_(core.environment(), env => core.promise(onInterrupt => {
return new Promise((resolve, reject) => {
const is = new core.InterruptionState();
const promises = [];
onInterrupt(() => {
is.interrupt();
});
const interruptOnFailure = ex => {
if (ex._tag === "Failure" && !is.interrupted) {
is.interrupt();
reject(ex.e);
}
};
for (const a of as) {
promises.push(core.runPromiseExitEnv(f(a), env, is).then(interruptOnFailure));
}
Promise.all(promises).then(() => {
resolve();
});
});
}, e => e));
}
/**
* Applies the function `f` to each element of the `Iterable<A>` and runs
* produced effects in parallel, discarding the results.
*
* For a sequential version of this method, see `forEach_`.
*
* Optimized to avoid keeping full tree of effects, so that method could be
* able to handle large input sequences.
* Behaves almost like this code:
*
* Additionally, interrupts all effects on any failure.
*
* @ets_data_first forEachUnitPar_
*/
export function forEachUnitPar(f) {
return as => forEachUnitPar_(as, f);
}
/**
* Applies the function `f` to each element of the `Iterable<A>` in parallel,
* and returns the results in a new `Chunk<B>`.
*
* For a sequential version of this method, see `forEach`.
*/
export function forEachPar_(as, f) {
return core.suspend(() => core.chain_(core.succeedWith(() => []), array => core.map_(forEachUnitPar_(I.map_(as, (a, n) => [a, n]), ([a, n]) => core.chain_(core.suspend(() => f(a)), b => core.succeedWith(() => {
array[n] = b;
}))), () => Chunk.from(array))));
}
/**
* Applies the function `f` to each element of the `Iterable<A>` in parallel,
* and returns the results in a new `Chunk<B>`.
*
* For a sequential version of this method, see `forEach`.
*
* @ets_data_first forEachPar_
*/
export function forEachPar(f) {
return as => forEachPar_(as, f);
}
/**
* Evaluate each effect in the structure from left to right, and collect the
* results. For a parallel version, see `collectAllPar`.
*/
export function collectAll(as) {
return forEach_(as, identity);
}
/**
* Evaluate each effect in the structure in parallel, and collect the
* results. For a sequential version, see `collectAll`.
*/
export function collectAllPar(as) {
return forEachPar_(as, identity);
}
/**
* Evaluate each effect in the structure from left to right, and discard the
* results. For a parallel version, see `collectAllUnitPar`.
*/
export function collectAllUnit(as) {
return forEachUnit_(as, identity);
}
/**
* Evaluate each effect in the structure in parallel, and discard the
* results. For a sequential version, see `collectAllUnit`.
*/
export function collectAllUnitPar(as) {
return forEachUnitPar_(as, identity);
}
/**
* Evaluate each effect in the structure with `collectAll`, and collect
* the results with given partial function.
*/
export function collectAllWith_(as, pf) {
return core.map_(collectAll(as), Collect.collect(pf));
}
/**
* Evaluate each effect in the structure with `collectAll`, and collect
* the results with given partial function.
*
* @ets_data_first collectAllWith_
*/
export function collectAllWith(pf) {
return as => collectAllWith_(as, pf);
}
/**
* Evaluate each effect in the structure with `collectAll`, and collect
* the results with given partial function.
*/
export function collectAllWithPar_(as, pf) {
return core.map_(collectAllPar(as), Collect.collect(pf));
}
/**
* Evaluate each effect in the structure with `collectAll`, and collect
* the results with given partial function.
*
* @ets_data_first collectAllWithPar_
*/
export function collectAllWithPar(pf) {
return as => collectAllWithPar_(as, pf);
}
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