pre-0.0.3 #46
@ -25,9 +25,9 @@ fun main() {
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val complexTime = measureTimeMillis {
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val complexTime = measureTimeMillis {
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complexField.run {
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complexField.run {
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var res: NDBuffer<Complex> = one
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var res: ComplexNDElement = one
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repeat(n) {
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repeat(n) {
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res += 1.0.toComplex()
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res += 1.0
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}
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}
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}
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}
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}
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}
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@ -1,5 +1,6 @@
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package scientifik.kmath.structures
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package scientifik.kmath.structures
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import kotlinx.coroutines.GlobalScope
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import scientifik.kmath.operations.RealField
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import scientifik.kmath.operations.RealField
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import kotlin.system.measureTimeMillis
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import kotlin.system.measureTimeMillis
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@ -11,8 +12,6 @@ fun main(args: Array<String>) {
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val autoField = NDField.auto(intArrayOf(dim, dim), RealField)
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val autoField = NDField.auto(intArrayOf(dim, dim), RealField)
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// specialized nd-field for Double. It works as generic Double field as well
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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(intArrayOf(dim, dim))
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val specializedField = NDField.real(intArrayOf(dim, dim))
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//A field implementing lazy computations. All elements are computed on-demand
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val lazyField = NDField.lazy(intArrayOf(dim, dim), RealField)
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//A generic boxing field. It should be used for objects, not primitives.
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//A generic boxing field. It should be used for objects, not primitives.
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val genericField = NDField.buffered(intArrayOf(dim, dim), RealField)
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val genericField = NDField.buffered(intArrayOf(dim, dim), RealField)
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@ -26,7 +25,7 @@ fun main(args: Array<String>) {
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}
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}
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}
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}
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println("Buffered addition completed in $autoTime millis")
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println("Automatic field addition completed in $autoTime millis")
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val elementTime = measureTimeMillis {
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val elementTime = measureTimeMillis {
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var res = genericField.one
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var res = genericField.one
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@ -50,17 +49,15 @@ fun main(args: Array<String>) {
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val lazyTime = measureTimeMillis {
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val lazyTime = measureTimeMillis {
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lazyField.run {
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val res = specializedField.one.mapAsync(GlobalScope) {
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val res = one.map {
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var c = 0.0
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var c = 0.0
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repeat(n) {
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repeat(n) {
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c += 1.0
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c += 1.0
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}
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c
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}
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}
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c
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res.elements().forEach { it.second }
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}
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}
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res.elements().forEach { it.second }
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}
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}
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println("Lazy addition completed in $lazyTime millis")
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println("Lazy addition completed in $lazyTime millis")
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@ -24,7 +24,9 @@ plugins {
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allprojects {
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allprojects {
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apply(plugin = "maven-publish")
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apply(plugin = "maven-publish")
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apply(plugin = "com.jfrog.artifactory")
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if(project.name.startsWith("kmath")) {
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apply(plugin = "com.jfrog.artifactory")
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}
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group = "scientifik"
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group = "scientifik"
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version = "0.0.3"
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version = "0.0.3"
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15
examples/build.gradle.kts
Normal file
15
examples/build.gradle.kts
Normal file
@ -0,0 +1,15 @@
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plugins {
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kotlin("jvm")
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}
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description = "Examples for different kmath features"
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dependencies {
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implementation(project(":kmath-core"))
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implementation(project(":kmath-coroutines"))
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implementation(project(":kmath-commons"))
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implementation(project(":kmath-koma"))
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implementation(group = "com.kyonifer", name = "koma-core-ejml", version = "0.12")
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testImplementation("org.jetbrains.kotlin:kotlin-test")
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testImplementation("org.jetbrains.kotlin:kotlin-test-junit")
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}
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@ -4,7 +4,7 @@ import java.nio.ByteBuffer
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/**
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/**
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* A specification for serialization and deserialization objects to buffer
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* A specification for serialization and deserialization objects to buffer (at current buffer position)
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*/
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*/
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interface BufferSpec<T : Any> {
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interface BufferSpec<T : Any> {
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/**
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/**
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@ -122,4 +122,10 @@ operator fun ComplexNDElement.plus(arg: Complex) =
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* Subtraction operation between [BufferedNDElement] and single element
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* Subtraction operation between [BufferedNDElement] and single element
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*/
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*/
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operator fun ComplexNDElement.minus(arg: Complex) =
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operator fun ComplexNDElement.minus(arg: Complex) =
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map { it - arg }
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operator fun ComplexNDElement.plus(arg: Double) =
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map { it + arg }
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operator fun ComplexNDElement.minus(arg: Double) =
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map { it - arg }
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map { it - arg }
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@ -6,9 +6,4 @@ import kotlinx.coroutines.Dispatchers
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import kotlin.coroutines.CoroutineContext
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import kotlin.coroutines.CoroutineContext
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import kotlin.coroutines.EmptyCoroutineContext
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import kotlin.coroutines.EmptyCoroutineContext
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expect fun <R> runBlocking(
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context: CoroutineContext = EmptyCoroutineContext,
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function: suspend CoroutineScope.() -> R
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): R
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val Dispatchers.Math: CoroutineDispatcher get() = Dispatchers.Default
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val Dispatchers.Math: CoroutineDispatcher get() = Dispatchers.Default
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@ -1,113 +0,0 @@
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package scientifik.kmath.structures
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import kotlinx.coroutines.*
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import scientifik.kmath.operations.Field
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import scientifik.kmath.operations.FieldElement
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class LazyNDField<T, F : Field<T>>(
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override val shape: IntArray,
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override val elementContext: F,
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val scope: CoroutineScope = GlobalScope
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) : NDField<T, F, NDStructure<T>> {
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override val zero by lazy { produce { zero } }
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override val one by lazy { produce { one } }
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override fun produce(initializer: F.(IntArray) -> T) =
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LazyNDStructure(this) { elementContext.initializer(it) }
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override fun mapIndexed(
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arg: NDStructure<T>,
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transform: F.(index: IntArray, T) -> T
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): LazyNDStructure<T, F> {
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check(arg)
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return if (arg is LazyNDStructure<T, *>) {
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LazyNDStructure(this) { index ->
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//FIXME if value of arg is already calculated, it should be used
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elementContext.transform(index, arg.function(index))
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}
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} else {
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LazyNDStructure(this) { elementContext.transform(it, arg.await(it)) }
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}
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// return LazyNDStructure(this) { elementField.transform(it, arg.await(it)) }
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}
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override fun map(arg: NDStructure<T>, transform: F.(T) -> T) =
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mapIndexed(arg) { _, t -> transform(t) }
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override fun combine(a: NDStructure<T>, b: NDStructure<T>, transform: F.(T, T) -> T): LazyNDStructure<T, F> {
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check(a, b)
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return if (a is LazyNDStructure<T, *> && b is LazyNDStructure<T, *>) {
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LazyNDStructure(this@LazyNDField) { index ->
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elementContext.transform(
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a.function(index),
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b.function(index)
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)
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}
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} else {
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LazyNDStructure(this@LazyNDField) { elementContext.transform(a.await(it), b.await(it)) }
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}
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// return LazyNDStructure(this) { elementField.transform(a.await(it), b.await(it)) }
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}
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fun NDStructure<T>.lazy(): LazyNDStructure<T, F> {
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check(this)
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return if (this is LazyNDStructure<T, *>) {
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LazyNDStructure(this@LazyNDField, function)
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} else {
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LazyNDStructure(this@LazyNDField) { get(it) }
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}
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}
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}
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class LazyNDStructure<T, F : Field<T>>(
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override val context: LazyNDField<T, F>,
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val function: suspend (IntArray) -> T
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) : FieldElement<NDStructure<T>, LazyNDStructure<T, F>, LazyNDField<T, F>>,
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NDElement<T, F, NDStructure<T>> {
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override fun unwrap(): NDStructure<T> = this
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override fun NDStructure<T>.wrap(): LazyNDStructure<T, F> = LazyNDStructure(context) { await(it) }
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override val shape: IntArray get() = context.shape
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private val cache = HashMap<IntArray, Deferred<T>>()
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fun deferred(index: IntArray) = cache.getOrPut(index) {
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context.scope.async(context = Dispatchers.Math) {
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function(index)
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}
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}
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suspend fun await(index: IntArray): T = deferred(index).await()
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override fun get(index: IntArray): T = runBlocking {
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deferred(index).await()
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}
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override fun elements(): Sequence<Pair<IntArray, T>> {
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val strides = DefaultStrides(shape)
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val res = runBlocking {
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strides.indices().toList().map { index -> index to await(index) }
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}
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return res.asSequence()
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}
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}
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fun <T> NDStructure<T>.deferred(index: IntArray) =
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if (this is LazyNDStructure<T, *>) this.deferred(index) else CompletableDeferred(get(index))
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suspend fun <T> NDStructure<T>.await(index: IntArray) =
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if (this is LazyNDStructure<T, *>) this.await(index) else get(index)
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fun <T : Any, F : Field<T>> NDField.Companion.lazy(shape: IntArray, field: F, scope: CoroutineScope = GlobalScope) =
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LazyNDField(shape, field, scope)
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fun <T, F : Field<T>> NDStructure<T>.lazy(field: F, scope: CoroutineScope = GlobalScope): LazyNDStructure<T, F> {
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val context: LazyNDField<T, F> = LazyNDField(shape, field, scope)
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return LazyNDStructure(context) { get(it) }
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}
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@ -1,11 +0,0 @@
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package scientifik.kmath.structures
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import kotlinx.coroutines.CoroutineScope
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import kotlin.coroutines.CoroutineContext
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actual fun <R> runBlocking(
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context: CoroutineContext,
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function: suspend CoroutineScope.() -> R
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): R {
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TODO("not implemented") //To change body of created functions use File | Settings | File Templates.
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}
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@ -0,0 +1,47 @@
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package scientifik.kmath.structures
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import kotlinx.coroutines.*
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class LazyNDStructure<T>(
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val scope: CoroutineScope,
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override val shape: IntArray,
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val function: suspend (IntArray) -> T
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) : NDStructure<T> {
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private val cache = HashMap<IntArray, Deferred<T>>()
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fun deferred(index: IntArray) = cache.getOrPut(index) {
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scope.async(context = Dispatchers.Math) {
|
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function(index)
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}
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}
|
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|
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suspend fun await(index: IntArray): T = deferred(index).await()
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override fun get(index: IntArray): T = runBlocking {
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deferred(index).await()
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}
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override fun elements(): Sequence<Pair<IntArray, T>> {
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val strides = DefaultStrides(shape)
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val res = runBlocking {
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|
strides.indices().toList().map { index -> index to await(index) }
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}
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return res.asSequence()
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}
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}
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|
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fun <T> NDStructure<T>.deferred(index: IntArray) =
|
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if (this is LazyNDStructure<T>) this.deferred(index) else CompletableDeferred(get(index))
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suspend fun <T> NDStructure<T>.await(index: IntArray) =
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if (this is LazyNDStructure<T>) this.await(index) else get(index)
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/**
|
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* PENDING would benifit from KEEP-176
|
||||||
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*/
|
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fun <T, R> NDStructure<T>.mapAsyncIndexed(scope: CoroutineScope, function: suspend (T, index: IntArray) -> R) =
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LazyNDStructure(scope, shape) { index -> function(get(index), index) }
|
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|
|
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|
fun <T, R> NDStructure<T>.mapAsync(scope: CoroutineScope, function: suspend (T) -> R) =
|
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LazyNDStructure(scope, shape) { index -> function(get(index)) }
|
@ -1,7 +0,0 @@
|
|||||||
package scientifik.kmath.structures
|
|
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|
|
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import kotlinx.coroutines.CoroutineScope
|
|
||||||
import kotlin.coroutines.CoroutineContext
|
|
||||||
|
|
||||||
actual fun <R> runBlocking(context: CoroutineContext, function: suspend CoroutineScope.() -> R): R =
|
|
||||||
kotlinx.coroutines.runBlocking(context, function)
|
|
@ -25,5 +25,6 @@ include(
|
|||||||
":kmath-commons",
|
":kmath-commons",
|
||||||
":kmath-koma",
|
":kmath-koma",
|
||||||
":kmath-sequential",
|
":kmath-sequential",
|
||||||
":benchmarks"
|
":benchmarks",
|
||||||
|
":examples"
|
||||||
)
|
)
|
||||||
|
Loading…
Reference in New Issue
Block a user