forked from kscience/kmath
Proof of concept for coroutine-safe random number generators
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@ -8,7 +8,7 @@ fun main(args: Array<String>) {
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val dim = 1000
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val n = 1000
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// automatically build context most suited for given type.
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// automatically build coroutineContext most suited for given type.
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val autoField = NDField.auto(RealField, dim, dim)
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// specialized nd-field for Double. It works as generic Double field as well
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val specializedField = NDField.real(dim, dim)
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@ -111,7 +111,7 @@ fun DiffExpression.derivative(vararg orders: Pair<String, Int>) = derivative(map
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fun DiffExpression.derivative(name: String) = derivative(name to 1)
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/**
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* A context for [DiffExpression] (not to be confused with [DerivativeStructure])
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* A coroutineContext for [DiffExpression] (not to be confused with [DerivativeStructure])
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*/
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object DiffExpressionContext : ExpressionContext<Double>, Field<DiffExpression> {
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override fun variable(name: String, default: Double?) =
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@ -0,0 +1,58 @@
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package scientifik.kmath.prob
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import kotlinx.coroutines.*
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import kotlin.coroutines.CoroutineContext
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import kotlin.coroutines.EmptyCoroutineContext
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import kotlin.coroutines.coroutineContext
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/**
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* A scope for a monte-carlo simulation or multi-coroutine random number generation
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*/
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class MCScope private constructor(val coroutineContext: CoroutineContext) {
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fun mcScope(context: CoroutineContext): MCScope = MCScope(context + coroutineContext[Random]!!.split())
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companion object {
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suspend fun init(generator: RandomGenerator): MCScope =
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MCScope(coroutineContext + Random(generator))
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}
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}
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inline class Random(val generator: RandomGenerator) : CoroutineContext.Element {
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override val key: CoroutineContext.Key<*> get() = Companion
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fun split(): Random = Random(generator.fork())
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companion object : CoroutineContext.Key<Random>
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}
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val CoroutineContext.random get() = this[Random]?.generator
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val MCScope.random get() = coroutineContext.random!!
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/**
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* Launches a supervised Monte-Carlo scope
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*/
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suspend fun <T> mc(generator: RandomGenerator, block: suspend MCScope.() -> T): T =
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supervisorScope {
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MCScope.init(generator).block()
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}
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suspend fun <T> mc(seed: Long = -1, block: suspend MCScope.() -> T): T =
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mc(SplitRandomWrapper(seed), block)
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inline fun MCScope.launch(
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context: CoroutineContext = EmptyCoroutineContext,
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start: CoroutineStart = CoroutineStart.DEFAULT,
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crossinline block: suspend MCScope.() -> Unit
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): Job = CoroutineScope(coroutineContext).launch(context + coroutineContext[Random]!!.split(), start) {
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mcScope(coroutineContext).block()
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}
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inline fun <T> MCScope.async(
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context: CoroutineContext = EmptyCoroutineContext,
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start: CoroutineStart = CoroutineStart.DEFAULT,
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crossinline block: suspend MCScope.() -> T
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): Deferred<T> = CoroutineScope(coroutineContext).async(context, start) {
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mcScope(coroutineContext).block()
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}
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@ -0,0 +1,18 @@
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package scientifik.kmath.prob
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import java.util.*
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class SplitRandomWrapper(val random: SplittableRandom) : RandomGenerator {
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constructor(seed: Long) : this(SplittableRandom(seed))
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override fun nextDouble(): Double = random.nextDouble()
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override fun nextInt(): Int = random.nextInt()
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override fun nextLong(): Long = random.nextLong()
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override fun nextBlock(size: Int): ByteArray = ByteArray(size).also { random.nextBytes(it) }
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override fun fork(): RandomGenerator = SplitRandomWrapper(random.split())
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}
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@ -0,0 +1,28 @@
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package scientifik.kmath.prob
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import kotlinx.coroutines.Dispatchers
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import kotlinx.coroutines.runBlocking
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import kotlin.test.Test
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import kotlin.test.assertEquals
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class MCScopeTest {
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@Test
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fun testGenerator(){
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runBlocking(Dispatchers.Default) {
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mc(1122){
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launch {
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repeat(9){
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println("first:${random.nextInt()}")
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}
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assertEquals(690819834,random.nextInt())
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}
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launch {
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repeat(9){
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println("second:${random.nextInt()}")
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}
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assertEquals(691997530,random.nextInt())
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}
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}
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}
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}
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}
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