50 lines
1.5 KiB
Kotlin
50 lines
1.5 KiB
Kotlin
package com.lagradost.cloudstream3
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import kotlinx.coroutines.async
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import kotlinx.coroutines.runBlocking
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//https://stackoverflow.com/questions/34697828/parallel-operations-on-kotlin-collections
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/*
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fun <T, R> Iterable<T>.pmap(
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numThreads: Int = maxOf(Runtime.getRuntime().availableProcessors() - 2, 1),
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exec: ExecutorService = Executors.newFixedThreadPool(numThreads),
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transform: (T) -> R,
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): List<R> {
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// default size is just an inlined version of kotlin.collections.collectionSizeOrDefault
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val defaultSize = if (this is Collection<*>) this.size else 10
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val destination = Collections.synchronizedList(ArrayList<R>(defaultSize))
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for (item in this) {
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exec.submit { destination.add(transform(item)) }
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}
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exec.shutdown()
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exec.awaitTermination(1, TimeUnit.DAYS)
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return ArrayList<R>(destination)
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}*/
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fun <A, B> List<A>.apmap(f: suspend (A) -> B): List<B> = runBlocking {
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map { async { f(it) } }.map { it.await() }
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}
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// run code in parallel
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/*fun <R> argpmap(
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vararg transforms: () -> R,
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numThreads: Int = maxOf(Runtime.getRuntime().availableProcessors() - 2, 1),
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exec: ExecutorService = Executors.newFixedThreadPool(numThreads)
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) {
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for (item in transforms) {
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exec.submit { item.invoke() }
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}
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exec.shutdown()
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exec.awaitTermination(1, TimeUnit.DAYS)
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}*/
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fun <R> argamap(
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vararg transforms: suspend () -> R,
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) = runBlocking {
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transforms.map { async { it.invoke() } }.map { it.await() }
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} |